From f956998eda8652eb87a1f08b5d9610650cfdb6ca Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 10:26:22 -0600
Subject: [PATCH 01/48] Reorg for pip

---
 .gitignore                                    | 12 +++
 README.md                                     | 37 +++++++-
 docs/sourcecode.rst                           |  8 +-
 docs/tutorials-export4converge.rst            | 38 ++++----
 docs/tutorials-export4pele.rst                | 65 +++++++-------
 source/FuelLib.py => fuellib/__init__.py      | 63 +++++++++----
 fuellib/_data_locator.py                      | 76 ++++++++++++++++
 fuellib/data/__init__.py                      |  1 +
 fuellib/data/fuelData/__init__.py             |  1 +
 fuellib/data/fuelData/dataReferences.md       | 52 +++++++++++
 fuellib/data/fuelData/gcData/__init__.py      |  1 +
 fuellib/data/fuelData/gcData/decane_init.csv  |  2 +
 .../data/fuelData/gcData/dodecane_init.csv    |  2 +
 fuellib/data/fuelData/gcData/hefa-S1_init.csv |  3 +
 .../gcData/hefa-WE-SAF-262714_init.csv        | 33 +++++++
 .../data/fuelData/gcData/hefa-came_init.csv   | 68 ++++++++++++++
 .../data/fuelData/gcData/hefa-mfat_init.csv   | 68 ++++++++++++++
 .../data/fuelData/gcData/hefa-tall_init.csv   | 68 ++++++++++++++
 .../fuelData/gcData/heptane-decane_init.csv   |  3 +
 fuellib/data/fuelData/gcData/heptane_init.csv |  2 +
 fuellib/data/fuelData/gcData/jet-a_init.csv   | 68 ++++++++++++++
 .../fuelData/gcData/posf10264_T30_init.csv    | 68 ++++++++++++++
 .../data/fuelData/gcData/posf10264_init.csv   | 68 ++++++++++++++
 .../data/fuelData/gcData/posf10289_init.csv   | 68 ++++++++++++++
 .../data/fuelData/gcData/posf10325_init.csv   | 68 ++++++++++++++
 .../data/fuelData/gcData/posf11498_init.csv   | 14 +++
 .../data/fuelData/gcData/posf4658_init.csv    | 68 ++++++++++++++
 .../groupDecompositionData/__init__.py        |  1 +
 .../groupDecompositionData/decane.csv         |  2 +
 .../groupDecompositionData/dodecane.csv       |  2 +
 .../groupDecompositionData/hefa-S1.csv        |  3 +
 .../hefa-WE-SAF-262714.csv                    | 33 +++++++
 .../fuelData/groupDecompositionData/hefa.csv  | 68 ++++++++++++++
 .../groupDecompositionData/heptane-decane.csv |  3 +
 .../groupDecompositionData/heptane.csv        |  2 +
 .../fuelData/groupDecompositionData/jet-a.csv | 68 ++++++++++++++
 .../groupDecompositionData/posf10264.csv      | 68 ++++++++++++++
 .../groupDecompositionData/posf10289.csv      | 68 ++++++++++++++
 .../groupDecompositionData/posf10325.csv      | 68 ++++++++++++++
 .../groupDecompositionData/posf11498.csv      | 14 +++
 .../groupDecompositionData/posf4658.csv       | 68 ++++++++++++++
 .../groupDecompositionData/refCompounds.csv   | 90 +++++++++++++++++++
 .../data/fuelData/propertiesData/__init__.py  |  1 +
 .../data/fuelData/propertiesData/decane.csv   | 37 ++++++++
 .../data/fuelData/propertiesData/dodecane.csv | 33 +++++++
 .../data/fuelData/propertiesData/hefa-S1.csv  | 20 +++++
 .../propertiesData/hefa-WE-SAF-262714.csv     | 20 +++++
 .../propertiesData/hefa-jet-a-blends.csv      | 10 +++
 .../data/fuelData/propertiesData/heptane.csv  | 39 ++++++++
 .../fuelData/propertiesData/posf10264.csv     | 22 +++++
 .../fuelData/propertiesData/posf10289.csv     | 24 +++++
 .../fuelData/propertiesData/posf10325.csv     | 22 +++++
 .../fuelData/propertiesData/posf11498.csv     | 22 +++++
 fuellib/data/fuelData/refCompounds.csv        | 90 +++++++++++++++++++
 fuellib/data/gcmTableData/__init__.py         |  1 +
 fuellib/data/gcmTableData/gcmTable.csv        | 15 ++++
 fuellib/exporters/__init__.py                 |  9 ++
 .../exporters/converge.py                     | 75 +++++++---------
 .../exporters/pele.py                         | 57 ++++++++----
 pyproject.toml                                | 78 ++++++++++++++++
 tests/get_pred_and_data.py                    | 11 +--
 tests/test_accuracy.py                        |  9 +-
 tests/test_api.py                             |  9 +-
 tutorials/basic.py                            |  9 +-
 tutorials/compositionPlots.py                 |  8 +-
 tutorials/hefaBlends.py                       |  9 +-
 tutorials/mixtureProperties.py                |  9 +-
 67 files changed, 2041 insertions(+), 181 deletions(-)
 rename source/FuelLib.py => fuellib/__init__.py (96%)
 create mode 100644 fuellib/_data_locator.py
 create mode 100644 fuellib/data/__init__.py
 create mode 100644 fuellib/data/fuelData/__init__.py
 create mode 100644 fuellib/data/fuelData/dataReferences.md
 create mode 100644 fuellib/data/fuelData/gcData/__init__.py
 create mode 100644 fuellib/data/fuelData/gcData/decane_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/dodecane_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/hefa-S1_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/hefa-came_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/hefa-mfat_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/hefa-tall_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/heptane-decane_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/heptane_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/jet-a_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/posf10264_T30_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/posf10264_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/posf10289_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/posf10325_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/posf11498_init.csv
 create mode 100644 fuellib/data/fuelData/gcData/posf4658_init.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/__init__.py
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/decane.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/dodecane.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/hefa.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/heptane-decane.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/heptane.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/jet-a.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/posf10264.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/posf10289.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/posf10325.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/posf11498.csv
 create mode 100644 fuellib/data/fuelData/groupDecompositionData/posf4658.csv
 create mode 100755 fuellib/data/fuelData/groupDecompositionData/refCompounds.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/__init__.py
 create mode 100644 fuellib/data/fuelData/propertiesData/decane.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/dodecane.csv
 create mode 100755 fuellib/data/fuelData/propertiesData/hefa-S1.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/hefa-WE-SAF-262714.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/hefa-jet-a-blends.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/heptane.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/posf10264.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/posf10289.csv
 create mode 100644 fuellib/data/fuelData/propertiesData/posf10325.csv
 create mode 100755 fuellib/data/fuelData/propertiesData/posf11498.csv
 create mode 100644 fuellib/data/fuelData/refCompounds.csv
 create mode 100644 fuellib/data/gcmTableData/__init__.py
 create mode 100644 fuellib/data/gcmTableData/gcmTable.csv
 create mode 100644 fuellib/exporters/__init__.py
 rename source/Export4Converge.py => fuellib/exporters/converge.py (92%)
 rename source/Export4Pele.py => fuellib/exporters/pele.py (95%)
 create mode 100644 pyproject.toml

diff --git a/.gitignore b/.gitignore
index fa440e7..a337898 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,5 +6,17 @@ _build*
 generated*
 sprayPropsGCM*
 mixturePropsGCM*
+exportData
 
+# Python packaging
+*.egg-info/
+dist/
+build/
+*.egg
+*.whl
+
+# Virtual environments
+.env
+env/
+venv/
 
diff --git a/README.md b/README.md
index 9d3ae60..dd91be7 100644
--- a/README.md
+++ b/README.md
@@ -21,8 +21,43 @@ The following conda environment is required to run this code:
 conda create --name fuellib-env matplotlib pandas scipy black=26.3.1
 ~~~
 
+## Installation
+
+1. **Clone the repository:**
+   ~~~
+   git clone https://github.com/NatLabRockies/FuelLib.git
+   cd FuelLib
+   ~~~
+
+2. **Create and activate the conda environment:**
+   ~~~
+   conda create --name fuellib-env matplotlib pandas scipy black=26.3.1
+   conda activate fuellib-env
+   ~~~
+
+3. **Install FuelLib in development mode:**
+   ~~~
+   pip install -e .
+   ~~~
+
+This will install FuelLib and make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available in your environment.
+
 ## Running the Code
-This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf). 
+This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
+
+### Command-Line Exporters
+After installing FuelLib with `pip install -e .`, you can use the command-line exporters to generate fuel properties for CFD simulations:
+
+- `fl-export-pele`: Export fuel properties for PelePhysics simulations
+- `fl-export-converge`: Export fuel properties for Converge simulations
+
+For example:
+```bash
+fl-export-pele -f posf10264
+fl-export-converge -f posf10325
+```
+
+Run `fl-export-pele -h` or `fl-export-converge -h` for detailed usage information. 
 
 # Contributing
 New contributions are always welcome.  If you have an idea for a new feature follow these steps:
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index 84fa754..53ebce1 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -14,11 +14,13 @@ FuelLib File Organization
     - **groupDecompositionData:** directory containing a collection of functional group decompositions
     - **propertiesData:** directory containing measurement or predicted data for validation (see *fuelData/dataReferences.md*)
 - **gcmTableData:** directory that contains the pre-tabulated group contributions
-- **source:** directory containing the main source code files
+- **fuellib:** main package directory containing:
 
-    - ``Export4Converge.py``: script that exports mixture properties over a range of user specified temperatures for use in Converge simulations.
-    - ``Export4Pele.py``: script that exports critical properties and initial mass fraction data for use in Pele simulations.
     - ``FuelLib.py``: class for enabling GCM predictions
+    - **exporters:** subpackage with CLI exporters for generating fuel properties
+    
+        - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
+        - ``pele.py``: exporter for PelePhysics simulations (CLI: ``fl-export-pele``)
 
 - **tests:**  directory containing CI unit tests for FuelLib. The CI test checks if the cumulative error of property predictions of a new proposed model are less than or equal to the current model.
     
diff --git a/docs/tutorials-export4converge.rst b/docs/tutorials-export4converge.rst
index 0a50c14..3b97c72 100644
--- a/docs/tutorials-export4converge.rst
+++ b/docs/tutorials-export4converge.rst
@@ -1,7 +1,7 @@
 Exporting Properties for Converge
 ----------------------------------
 
-The export script, ``Export4Converge.py`` generates property data files for use in Converge CFD simulations. 
+The export script, ``fl-export-converge``, generates property data files for use in Converge CFD simulations. 
 There are two options for exporting data:
 
 1. **Mixture Properties**: This option generates a csv file named ``mixturePropsGCM_<fuel_name>.csv`` containing 
@@ -28,15 +28,18 @@ The properties include:
     terminal output and should be considered when using the mixture properties in a simulation.
 
 This example walks through the process and the available options for exporting GCM-based properties for 
-"posf10325", which is conventional Jet-A, using the ``Export4Converge.py`` script.
+"posf10325", which is conventional Jet-A, using the ``fl-export-converge`` command.
 
 Default Options
 ^^^^^^^^^^^^^^^
     
-From the ``FuelLib`` directory, run the following command in the terminal, noting that ``--fuel_name`` is the only required input: ::
+After installing FuelLib with ``pip install -e .``, run the following command in the terminal, noting that ``--fuel_name`` is the only required input: ::
     
-    cd FuelLib/source
-    python Export4Converge.py --fuel_name posf10325
+    fl-export-converge --fuel_name posf10325
+
+Or using the short option ``-f``: ::
+
+    fl-export-converge -f posf10325
 
 
 This generates the files for each compound and a composition description in ``FuelLib/exportData/posf10325`` with  
@@ -45,20 +48,23 @@ property predictions from 0 K to 1000 K for use in a Converge simulation.
 Additional Options
 ^^^^^^^^^^^^^^^^^^
 
-There are several additional options that can be specified when running the export script:
+There are several additional options that can be specified when running the ``fl-export-converge`` command:
 
-- ``--units``: Specify the units for the mixture properties. The default is "mks" but users can set the units to "cgs".
-- ``--temp_min``: Specify the minimum temperature. The default is 0 K.
-- ``--temp_max``: Specify the maximum temperature. The default is 1000 K.
-- ``--temp_step``: Specify the temperature step size. The default is :math:`\Delta T = 10` K.
-- ``--export_dir``: Specify the directory to export the file. The default is "FuelLib/exportData".
-- ``--fuel_data_dir``: Specify the directory containing the fuel data files. The default is "FuelLib/fuelData".
-- ``--export_mix``: Set this flag to export mixture properties only. If not set, individual component properties and composition are exported.
+- ``-D, --fuel_data_dir PATH``: Directory containing the fuel data files. Default: ``FuelLib/fuelData``.
+- ``-u, --units {mks,cgs}``: Units for the properties. Default: ``mks``.
+- ``-t, --temp_min K``: Minimum temperature for property calculations. Default: ``0``.
+- ``-T, --temp_max K``: Maximum temperature for property calculations. Default: ``1000``.
+- ``-s, --temp_step K``: Step size for temperature. Default: ``10``.
+- ``-o, --export_dir PATH``: Directory to export the file. Default: ``./exportData``.
+- ``-m, --export_mix {true,false}``: Export mixture properties only (no individual components). Default: ``false``.
+
+For example, run the following command to export mixture properties from 273 K to 550 K with 5 K steps: ::
+    
+    fl-export-converge -f posf10325 -m true -t 273 -T 550 -s 5
 
-For example, run the following command in the terminal: ::
+Or with long options: ::
     
-    cd FuelLib/source
-    python Export4Converge.py --fuel_name posf10325 --export_mix True --temp_min 273 --temp_max 550
+    fl-export-converge --fuel_name posf10325 --export_mix true --temp_min 273 --temp_max 550 --temp_step 5
 
 
 This generates the file ``FuelLib/exportData/mixturePropsGCM_posf10325.csv`` with mixture 
diff --git a/docs/tutorials-export4pele.rst b/docs/tutorials-export4pele.rst
index 0e6abcb..31d0105 100644
--- a/docs/tutorials-export4pele.rst
+++ b/docs/tutorials-export4pele.rst
@@ -16,7 +16,7 @@ and the original `PeleMP (MP) model <https://amrex-combustion.github.io/PelePhys
 The GCM is a replica of the model implemented in FuelLib and the MP model is the original model described in Owen et al. :footcite:p:`owen_pelemp_2024`
 
 Each model has its own specific set of inputs required for Pele. The default parameters
-for the export script ``Export4Pele.py`` are set for the GCM.  PelePhysics requires 
+for the ``fl-export-pele`` command are set for the GCM.  PelePhysics requires 
 the following for each compound in the fuel for the GCM:
 
 - Hydrocarbon family
@@ -49,18 +49,21 @@ to Pele.
 .. note::
     The units for PeleLMeX are MKS while the units for PeleC are CGS. This is the same for 
     the spray inputs. Therefore, when running a spray simulation coupled with PeleC, the units for the 
-    liquid fuel properties must be in CGS. The default units for the ``Export4Pele.py`` script is MKS, 
-    but users can specify CGS by using the ``--units cgs`` option.
+    liquid fuel properties must be in CGS. The default units for the ``fl-export-pele`` command is MKS, 
+    but users can specify CGS by using the ``-u cgs`` or ``--units cgs`` option.
 
 Default Options
 ^^^^^^^^^^^^^^^
     
-From the ``FuelLib`` directory, navigate to the source directory and run the following command in the terminal to export 
+After installing FuelLib with ``pip install -e .``, run the following command in the terminal to export 
 the required GCM parameters. The fuel here, "heptane-decane", is a binary mixture 
 of heptane and decane. Note that ``--fuel_name`` is the only required input: ::
     
-    cd FuelLib/source
-    python Export4Pele.py --fuel_name heptane-decane
+    fl-export-pele --fuel_name heptane-decane
+
+Or using the short option ``-f``: ::
+
+    fl-export-pele -f heptane-decane
 
 
 This generates the following input file, ``FuelLib/exportData/sprayPropsGCM_heptane-decane.inp``, for use in a PeleLMeX simulation: ::
@@ -115,43 +118,36 @@ file to the specific case directory and include the following line in your Pele
 Additional Options
 ^^^^^^^^^^^^^^^^^^
 
-There are many additional options that can be specified when running the export script:
+There are many additional options that can be specified when running the ``fl-export-pele`` command:
 
-- ``--fuel_decomp_name``: Name of the decomposition file (optional). If not provided, defaults to ``fuel_name``.
-- ``--fuel_data_dir``: Specify the directory containing the fuel data files. The default is ``"FuelLib/fuelData"``.
-- ``--units``: Specify the units for the properties. The default is "mks" but users can set the units to "cgs" for use in PeleC.
-- ``--dep_fuel_names``: Specify which gas-phase species the liquid fuel deposits. The default is the same as the fuel name, but users can specify a single gas-phase species or a list of gas-phase species.
-- ``--use_pp_keys``: Use the PelePhysics key for each compound (True or False). The default is True if keys are available.
-- ``--export_dir``: Specify the directory to export the file. The default is "FuelLib/exportData".
-- ``--export_mix``: Export the fuel as a single mixture species. The default is 0 or False.
-- ``--export_mix_name``: Specify the name of the mixture species if ``--export_mix`` is set to True. The default is the same as the fuel name.
-- ``--fuel_data_dir``: Specify the directory containing the fuel data files. The default is "FuelLib/fuelData".
-- ``--liq_prop_model``: Specify the liquid property model to use. The default is ``"gcm"`` but users can set it to ``"mp"`` to export properties for the MP model in Pele.
-- ``--psat_antoine``: Option to use Antoine coefficients for vapor pressure in the MP model. The default is True, but users can set it to False to not use Antoine coefficients.
+- ``-c, --fuel_decomp_name NAME``: Name of the decomposition file (optional). If not provided, defaults to fuel name.
+- ``-D, --fuel_data_dir PATH``: Directory containing the fuel data files. Default: ``FuelLib/fuelData``.
+- ``-u, --units {mks,cgs}``: Units for the properties. Default: ``mks`` (use ``cgs`` for PeleC).
+- ``-d, --dep_fuel_names NAME [NAME ...]``: Gas-phase species that liquid fuel deposits to. Default: fuel compound names.
+- ``-pp, --use_pp_keys {true,false}``: Use PelePhysics keys for each compound. Default: ``true``.
+- ``-o, --export_dir PATH``: Directory to export the file. Default: ``./exportData``.
+- ``-m, --export_mix {true,false}``: Export fuel as a single mixture species. Default: ``false``.
+- ``-n, --export_mix_name NAME``: Name of the mixture species if ``-m`` is set to true. Default: fuel name.
+- ``-l, --liq_prop_model {gcm,mp}``: Liquid property model to use. Default: ``gcm``.
+- ``-psat, --psat_antoine {true,false}``: Use Antoine coefficients for vapor pressure in MP model. Default: ``true``.
 
 Liquid Species Deposit to Single Gas-Phase Species
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-To specify all liquid fuel species deposity to a single gas-phase species, run the following command: ::
+To specify all liquid fuel species deposit to a single gas-phase species, run: ::
 
-    cd FuelLib/source
-    python Export4Pele.py --fuel_name heptane-decane --dep_fuel_names SINGLE_GAS
-
-This will result in the following: ::
+    fl-export-pele -f heptane-decane -d SINGLE_GAS
 
-    particles.fuel_species = NC7H16 NC10H22
-    particles.Y_0 = 0.7375 0.2625
-    particles.dep_fuel_names = SINGLE_GAS SINGLE_GAS
+Or with long options: ::
 
-    # Properties for NC7H16 in MKS
-    ...
+    fl-export-pele --fuel_name heptane-decane --dep_fuel_names SINGLE_GAS
 
 Liquid Species Deposit to Specific Gas-Phase Species
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-Alternatively, users can specify a list of gas-phase species, run the following command: ::
+Alternatively, users can specify a list of gas-phase species: ::
 
-    python Export4Pele.py --fuel_name heptane-decane --dep_fuel_names GAS_1 GAS_2
+    fl-export-pele -f heptane-decane -d GAS_1 GAS_2
 
 which produces: ::
 
@@ -165,10 +161,13 @@ which produces: ::
 Export Liquid Fuel as Single Mixture Species
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-To export mixture properties of a multicomponent fuel as a single component, run the following command: ::
+To export mixture properties of a multicomponent fuel as a single component, run: ::
 
-    cd FuelLib/source
-    python Export4Pele.py --fuel_name heptane-decane --export_mix True
+    fl-export-pele -f heptane-decane -m true
+
+Or with long options: ::
+
+    fl-export-pele --fuel_name heptane-decane --export_mix true
 
 This generates the following input file, ``FuelLib/exportData/sprayPropsGCM_mixture_heptane-decane.inp``: ::
 
diff --git a/source/FuelLib.py b/fuellib/__init__.py
similarity index 96%
rename from source/FuelLib.py
rename to fuellib/__init__.py
index aa6e9c8..2367631 100644
--- a/source/FuelLib.py
+++ b/fuellib/__init__.py
@@ -1,14 +1,33 @@
+"""
+FuelLib: Fuel Library for Group Contribution Method calculations.
+
+FuelLib utilizes the Group Contribution Method (GCM) as proposed by Constantinou 
+and Gani (1994, 1995) to calculate thermodynamic and mixture properties of fuels.
+"""
+
 import os
-import sys
 import numpy as np
 import pandas as pd
 from scipy.optimize import curve_fit
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
+from ._data_locator import (
+    get_gcmtable_dir,
+    get_fueldata_dir,
+    get_fueldata_gc_dir,
+    get_fueldata_decomp_dir,
+    get_fueldata_props_dir,
+)
+
+__version__ = "0.1.0"
+__all__ = [
+    "fuel",
+    "C2K",
+    "K2C",
+    "mixing_rule",
+    "droplet_volume",
+    "droplet_mass",
+    "get_fueldata_props_dir",
+]
 
 
 class fuel:
@@ -19,7 +38,7 @@ class fuel:
     :type name: str
     :param decompName: Name of the groupDecomposition file if different from name. Defaults to None.
     :type decompName: str, optional
-    :param fuelDataDir: Directory where the fuel data is stored. Defaults to FuelLib/fuelData.
+    :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
     :type fuelDataDir: str, optional
     """
 
@@ -30,7 +49,7 @@ class fuel:
     # Boltzmann's constant J/K
     k_B = 1.380649e-23
 
-    def __init__(self, name, decompName=None, fuelDataDir=FUELDATA_DIR):
+    def __init__(self, name, decompName=None, fuelDataDir=None):
         """
         Initialize the fuel object and calculate GCM properties.
 
@@ -38,27 +57,34 @@ def __init__(self, name, decompName=None, fuelDataDir=FUELDATA_DIR):
         :type name: str
         :param decompName: Name of the groupDecomposition file if different from name.
         :type decompName: str, optional
-        :param fuelDataDir: Directory where the fuel data is stored.
+        :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
         :type fuelDataDir: str, optional
         """
 
         self.name = name
         if decompName is None:
             decompName = name
-        if fuelDataDir != FUELDATA_DIR:
+
+        # Determine which data directories to use
+        if fuelDataDir is None:
+            # Use built-in embedded data
+            self.fuelDataDir = get_fueldata_dir()
+            self.fuelDataGcDir = get_fueldata_gc_dir()
+            self.fuelDataDecompDir = get_fueldata_decomp_dir()
+        else:
+            # Use user-provided custom data directory
             self.fuelDataDir = fuelDataDir
             self.fuelDataGcDir = os.path.join(self.fuelDataDir, "gcData")
             self.fuelDataDecompDir = os.path.join(
                 self.fuelDataDir, "groupDecompositionData"
             )
-        else:
-            self.fuelDataDir = FUELDATA_DIR
-            self.fuelDataGcDir = FUELDATA_GC_DIR
-            self.fuelDataDecompDir = FUELDATA_DECOMP_DIR
+
+        # Get GCM table directory (always from built-in data)
+        gcmtable_dir = get_gcmtable_dir()
 
         self.groupDecompFile = os.path.join(self.fuelDataDecompDir, f"{decompName}.csv")
         self.gcxgcFile = os.path.join(self.fuelDataGcDir, f"{name}_init.csv")
-        self.gcmTableFile = os.path.join(GCMTABLE_DIR, "gcmTable.csv")
+        self.gcmTableFile = os.path.join(gcmtable_dir, "gcmTable.csv")
 
         # Read functional group data for mixture (num_compounds,num_groups)
         df_Nij = pd.read_csv(self.groupDecompFile)
@@ -1004,7 +1030,8 @@ def mixture_thermal_conductivity(self, Yi, T):
 
 # -----------------------------------------------------------------------------
 # Utility functions
-# -----------------------------------------------------------------------------
+# -------
+
 def C2K(T):
     """
     Convert temperature from Celsius to Kelvin.
@@ -1072,8 +1099,8 @@ def droplet_mass(fuel, r, Yi, T):
     """
     Calculate the mass of each compound in the fuel provided the radius of the droplet.
 
-    :param fuel: An instance of the groupContribution class.
-    :type fuel: groupContribution object
+    :param fuel: An instance of the fuel class.
+    :type fuel: fuel object
     :param r: Radius of the droplet in meters.
     :type r: float
     :param Yi: Mass fractions of each compound.
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
new file mode 100644
index 0000000..17613ce
--- /dev/null
+++ b/fuellib/_data_locator.py
@@ -0,0 +1,76 @@
+"""
+Data locator module for FuelLib.
+
+This module provides functions to locate data directories and files embedded
+within the fuellib package using importlib.resources.
+"""
+
+import os
+import sys
+
+if sys.version_info >= (3, 9):
+    from importlib.resources import files
+else:
+    from importlib_resources import files
+
+
+def get_data_dir():
+    """
+    Get the path to the embedded data directory.
+
+    :return: Absolute path to the data directory.
+    :rtype: str
+    """
+    data_ref = files("fuellib").joinpath("data")
+    # Convert to a concrete path
+    return str(data_ref)
+
+
+def get_gcmtable_dir():
+    """
+    Get the path to the GCM table data directory.
+
+    :return: Absolute path to gcmTableData directory.
+    :rtype: str
+    """
+    return os.path.join(get_data_dir(), "gcmTableData")
+
+
+def get_fueldata_dir():
+    """
+    Get the path to the fuel data directory.
+
+    :return: Absolute path to fuelData directory.
+    :rtype: str
+    """
+    return os.path.join(get_data_dir(), "fuelData")
+
+
+def get_fueldata_gc_dir():
+    """
+    Get the path to the GC data subdirectory.
+
+    :return: Absolute path to fuelData/gcData directory.
+    :rtype: str
+    """
+    return os.path.join(get_fueldata_dir(), "gcData")
+
+
+def get_fueldata_decomp_dir():
+    """
+    Get the path to the group decomposition data subdirectory.
+
+    :return: Absolute path to fuelData/groupDecompositionData directory.
+    :rtype: str
+    """
+    return os.path.join(get_fueldata_dir(), "groupDecompositionData")
+
+
+def get_fueldata_props_dir():
+    """
+    Get the path to the properties data subdirectory.
+
+    :return: Absolute path to fuelData/propertiesData directory.
+    :rtype: str
+    """
+    return os.path.join(get_fueldata_dir(), "propertiesData")
diff --git a/fuellib/data/__init__.py b/fuellib/data/__init__.py
new file mode 100644
index 0000000..a3928fa
--- /dev/null
+++ b/fuellib/data/__init__.py
@@ -0,0 +1 @@
+"""FuelLib embedded data package."""
diff --git a/fuellib/data/fuelData/__init__.py b/fuellib/data/fuelData/__init__.py
new file mode 100644
index 0000000..7693958
--- /dev/null
+++ b/fuellib/data/fuelData/__init__.py
@@ -0,0 +1 @@
+"""Fuel data."""
diff --git a/fuellib/data/fuelData/dataReferences.md b/fuellib/data/fuelData/dataReferences.md
new file mode 100644
index 0000000..6330140
--- /dev/null
+++ b/fuellib/data/fuelData/dataReferences.md
@@ -0,0 +1,52 @@
+## References for fuel data
+
+# GCxGC Data
+The provided GC x GC data is for the weight % of the fuel.  
+
+## POSF Fuels
+The GCxGC data for the POSF fuels comes from the [National Jet Fuels Combustion Program](https://doi.org/10.2514/1.J055361) (NJFCP) as provided by the Air Force Research Laboratory in [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf) and [Edwards (2017)](https://doi.org/10.2514/6.2017-0146):
+* gcData/posf4658_init.csv (from Appendix D [Edwards (2017)](https://doi.org/10.2514/6.2017-0146))
+* gcData/posf10264_init.csv
+* gcData/posf10289_init.csv
+* gcData/posf10325_init.csv
+* gcData/posf11498_init.csv
+
+## HEFA:Jet-A Blends
+GCxGC data for HEFA fuels produced from different feedstocks (camelina, tallow, and mixed fat) courtesy of [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787). Note that these can be blended with Jet-A to reproduce the density and viscosity measurement data from that paper:
+* gcData/hefa-came.csv
+* gcData/hefa-tall.csv
+* gcData/hefa-mfat.csv
+* gcData/jet-a.csv
+
+# Group Decomposition Data
+
+## POSF Fuels
+The decompositions of each compound into its functional groups for the POSF fuels originated from [Govindaraju & Ihme (2016)](https://doi.org/10.1016/j.ijheatmasstransfer.2016.06.079), but have been updated for additional accuracy and to include the specific reference compounds used:
+* groupDecompositionData/posf4658.csv
+* groupDecompositionData/posf10264.csv
+* groupDecompositionData/posf10289.csv
+* groupDecompositionData/posf10325.csv
+* groupDecompositionData/posf11498.csv
+
+## HEFA:Jet-A Blends
+The group decompositions of the HEFA and Jet-A from [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787) have been derived from the `posf10325` decomposition:
+* groupDecompositionData/hefa.csv
+* groupDecompositionData/jet-a.csv
+
+# Fuel Properties Data
+## Single Component Fuels
+The properties data for the single component fuels is from [NIST WebBook](https://webbook.nist.gov/chemistry/):
+* propertiesData/decane-NIST.csv
+* propertiesData/dodecane-NIST.csv
+* propertiesData/heptane-NIST.csv
+
+## POSF Fuels
+The properties data for POSF fuels is from the AFRL [Edwards (2017)](https://doi.org/10.2514/6.2017-0146) and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf):
+* propertiesData/posf10264.csv
+* propertiesData/posf10289.csv
+* propertiesData/posf10325.csv
+* propertiesData/posf11498.csv
+
+## HEFA:Jet-A Blends
+The properties data for the HEFA:Jet-A blends are from [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787) 
+* propertiesData/hefa-jet-a-blends.csv
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/__init__.py b/fuellib/data/fuelData/gcData/__init__.py
new file mode 100644
index 0000000..2bd91d6
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/__init__.py
@@ -0,0 +1 @@
+"""GC data."""
diff --git a/fuellib/data/fuelData/gcData/decane_init.csv b/fuellib/data/fuelData/gcData/decane_init.csv
new file mode 100644
index 0000000..b0d0709
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/decane_init.csv
@@ -0,0 +1,2 @@
+Compound,Weight %
+NC10H22,100
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/dodecane_init.csv b/fuellib/data/fuelData/gcData/dodecane_init.csv
new file mode 100644
index 0000000..a9a068e
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/dodecane_init.csv
@@ -0,0 +1,2 @@
+Compound,Weight %
+NC12H26,100
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-S1_init.csv b/fuellib/data/fuelData/gcData/hefa-S1_init.csv
new file mode 100644
index 0000000..ecb828e
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/hefa-S1_init.csv
@@ -0,0 +1,3 @@
+Compound,Weight %
+2-methylnonane,59.57069121
+n-undecane,40.42930879
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv b/fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv
new file mode 100644
index 0000000..63fda34
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv
@@ -0,0 +1,33 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+C2-Benzene,ethyl benzene ,C2-BENZ,0.057556412
+C3-Benzene,propyl benzene,C3-BENZ,0.087931343
+C4-Benzene,butyl benzene,C4-BENZ,0.055032501
+C5-Benzene,pentyl benzene,C5-BENZ,0.026794203
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.199891503
+C08-Isoparaffin,2-methyl heptane,C8H18-2,2.370108437
+C09-Isoparaffin,2-methyl octane,C9H20-2,12.77270292
+C10-Isoparaffin,2-methyl nonane,C10H22-2,13.57486711
+C11-Isoparaffin,2-methyl decane,C11H24-2,12.23020367
+C12-Isoparaffin,2-methyl undecane,C12H26-2,9.826870781
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,7.725886046
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,5.514863988
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,6.842162663
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,3.510088296
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.133370244
+n-C07,n-heptane,NC7H16,0.148235261
+n-C08,n-octane,NC8H18,1.487407628
+n-C09,n-nonane,NC9H20,2.972384727
+n-C10,n-decane,NC10H22,2.700025728
+n-C11,n-undecane,NC11H24,2.274630182
+n-C12,n-dodecane,NC12H26,1.769651957
+n-C13,n-tridecane,NC13H28,2.68987968
+n-C14,n-tetradecane,NC14H30,3.014507942
+n-C15,n-pentadecane,NC15H32,2.491315435
+n-C16,n-hexadecane (cetane),NC16H34,0.960304858
+C05-Monocycloparaffin,cycopentane,C5-CYCLO,0.940382227
+C07-Monocycloparaffin,methyl cyclohexane,C7-CYCLO,0.075019973
+C08-Monocycloparaffin,ethyl cyclohexane,C8-CYCLO,0.382113294
+C09-Monocycloparaffin,propyl cyclohexane,C9-CYCLO,1.884099028
+C10-Monocycloparaffin,butyl cyclohexane,C10-CYCLO,0.844267369
+C11-Monocycloparaffin,pentyl cyclohexane,C11-CYCLO,0.327108201
+C12-Monocycloparaffin,hexyl cyclohexane,C12-CYCLO,0.110336399
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-came_init.csv b/fuellib/data/fuelData/gcData/hefa-came_init.csv
new file mode 100644
index 0000000..527882a
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/hefa-came_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0
+C2-Benzene,ethyl benzene ,C6H5C2H5,0.01
+C3-Benzene,propyl benzene,C6H5C3H7,0.02
+C4-Benzene,butyl benzene,C6H5C4H9,0
+C5-Benzene,pentyl benzene,C6H5C5H11,0
+C6-Benzene,hexyl benzene,C6H5C6H13,0
+C7-Benzene,heptyl benzene,C6H5C7H15,0
+C8-Benzene,octyl benzene,C6H5C8H17,0
+C9-Benzene,nonyl benzene,C6H5C9H19,0
+Diaromatic-C10,naphthalene,NAPH,0
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
+Cycloaromatic-C09,indane,INDANE,0
+Cycloaromatic-C10,tetralin,TETRA,0
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0
+C08-Isoparaffin,2-methyl heptane,C8H18-2,1.51
+C09-Isoparaffin,2-methyl octane,C9H20-2,11.09
+C10-Isoparaffin,2-methyl nonane,C10H22-2,11.1
+C11-Isoparaffin,2-methyl decane,C11H24-2,9.62
+C12-Isoparaffin,2-methyl undecane,C12H26-2,8.27
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,8.33
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,6.39
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,5.42
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,2.14
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,21.58
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,4.71
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
+n-C07,n-heptane,NC7H16,0
+n-C08,n-octane,NC8H18,0.83
+n-C09,n-nonane,NC9H20,1.92
+n-C10,n-decane,NC10H22,1.4
+n-C11,n-undecane,NC11H24,0.84
+n-C12,n-dodecane,NC12H26,0.59
+n-C13,n-tridecane,NC13H28,0.49
+n-C14,n-tetradecane,NC14H30,0.23
+n-C15,n-pentadecane,NC15H32,0.46
+n-C16,n-hexadecane (cetane),NC16H34,0.2
+n-C17,n-heptadecane,NC17H36,0.12
+n-C18,n-octadecane,NC18H38,0
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.1
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,1.94
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.52
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.15
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.04
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0.01
+C10-Dicycloparaffin,Decalin,DECALIN,0
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-mfat_init.csv b/fuellib/data/fuelData/gcData/hefa-mfat_init.csv
new file mode 100644
index 0000000..2c196c9
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/hefa-mfat_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.01
+C2-Benzene,ethyl benzene ,C6H5C2H5,0
+C3-Benzene,propyl benzene,C6H5C3H7,0.01
+C4-Benzene,butyl benzene,C6H5C4H9,0
+C5-Benzene,pentyl benzene,C6H5C5H11,0
+C6-Benzene,hexyl benzene,C6H5C6H13,0
+C7-Benzene,heptyl benzene,C6H5C7H15,0
+C8-Benzene,octyl benzene,C6H5C8H17,0
+C9-Benzene,nonyl benzene,C6H5C9H19,0
+Diaromatic-C10,naphthalene,NAPH,0
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
+Cycloaromatic-C09,indane,INDANE,0
+Cycloaromatic-C10,tetralin,TETRA,0
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.01
+C08-Isoparaffin,2-methyl heptane,C8H18-2,1.77
+C09-Isoparaffin,2-methyl octane,C9H20-2,3.65
+C10-Isoparaffin,2-methyl nonane,C10H22-2,6.69
+C11-Isoparaffin,2-methyl decane,C11H24-2,10.33
+C12-Isoparaffin,2-methyl undecane,C12H26-2,12.37
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,11.54
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,13.98
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,4.29
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,20.73
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.29
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,3.44
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
+n-C07,n-heptane,NC7H16,0
+n-C08,n-octane,NC8H18,0.54
+n-C09,n-nonane,NC9H20,1
+n-C10,n-decane,NC10H22,1.42
+n-C11,n-undecane,NC11H24,1.36
+n-C12,n-dodecane,NC12H26,1.44
+n-C13,n-tridecane,NC13H28,0.87
+n-C14,n-tetradecane,NC14H30,1.67
+n-C15,n-pentadecane,NC15H32,0.18
+n-C16,n-hexadecane (cetane),NC16H34,0.7
+n-C17,n-heptadecane,NC17H36,0.01
+n-C18,n-octadecane,NC18H38,0
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.07
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.76
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.41
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.27
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.14
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0.02
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0.01
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0
+C10-Dicycloparaffin,Decalin,DECALIN,0
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-tall_init.csv b/fuellib/data/fuelData/gcData/hefa-tall_init.csv
new file mode 100644
index 0000000..75bebde
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/hefa-tall_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0
+C2-Benzene,ethyl benzene ,C6H5C2H5,0
+C3-Benzene,propyl benzene,C6H5C3H7,0
+C4-Benzene,butyl benzene,C6H5C4H9,0
+C5-Benzene,pentyl benzene,C6H5C5H11,0
+C6-Benzene,hexyl benzene,C6H5C6H13,0
+C7-Benzene,heptyl benzene,C6H5C7H15,0
+C8-Benzene,octyl benzene,C6H5C8H17,0
+C9-Benzene,nonyl benzene,C6H5C9H19,0
+Diaromatic-C10,naphthalene,NAPH,0
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
+Cycloaromatic-C09,indane,INDANE,0
+Cycloaromatic-C10,tetralin,TETRA,0
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.06
+C09-Isoparaffin,2-methyl octane,C9H20-2,6.13
+C10-Isoparaffin,2-methyl nonane,C10H22-2,12.14
+C11-Isoparaffin,2-methyl decane,C11H24-2,12.6
+C12-Isoparaffin,2-methyl undecane,C12H26-2,13.52
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,12.69
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,8.75
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,21.74
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,4.13
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
+n-C07,n-heptane,NC7H16,0
+n-C08,n-octane,NC8H18,0.1
+n-C09,n-nonane,NC9H20,1.84
+n-C10,n-decane,NC10H22,1.69
+n-C11,n-undecane,NC11H24,1.33
+n-C12,n-dodecane,NC12H26,1.12
+n-C13,n-tridecane,NC13H28,0.86
+n-C14,n-tetradecane,NC14H30,0.56
+n-C15,n-pentadecane,NC15H32,0.32
+n-C16,n-hexadecane (cetane),NC16H34,0
+n-C17,n-heptadecane,NC17H36,0
+n-C18,n-octadecane,NC18H38,0
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.22
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.18
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.02
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.01
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0
+C10-Dicycloparaffin,Decalin,DECALIN,0
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/heptane-decane_init.csv b/fuellib/data/fuelData/gcData/heptane-decane_init.csv
new file mode 100644
index 0000000..70680b1
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/heptane-decane_init.csv
@@ -0,0 +1,3 @@
+Compound,Weight %
+NC7H16,73.75
+NC10H22,26.25
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/heptane_init.csv b/fuellib/data/fuelData/gcData/heptane_init.csv
new file mode 100644
index 0000000..d57c668
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/heptane_init.csv
@@ -0,0 +1,2 @@
+Compound,Weight %
+NC7H16,100
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/jet-a_init.csv b/fuellib/data/fuelData/gcData/jet-a_init.csv
new file mode 100644
index 0000000..07d4e30
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/jet-a_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.07
+C2-Benzene,ethyl benzene ,C6H5C2H5,1.79
+C3-Benzene,propyl benzene,C6H5C3H7,4.54
+C4-Benzene,butyl benzene,C6H5C4H9,3.27
+C5-Benzene,pentyl benzene,C6H5C5H11,2.73
+C6-Benzene,hexyl benzene,C6H5C6H13,1.76
+C7-Benzene,heptyl benzene,C6H5C7H15,0.98
+C8-Benzene,octyl benzene,C6H5C8H17,0.47
+C9-Benzene,nonyl benzene,C6H5C9H19,0.15
+Diaromatic-C10,naphthalene,NAPH,0.11
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.44
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.63
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.51
+Cycloaromatic-C09,indane,INDANE,0.14
+Cycloaromatic-C10,tetralin,TETRA,0.45
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,2.43
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,2.21
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,1.46
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.42
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.01
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.31
+C09-Isoparaffin,2-methyl octane,C9H20-2,4.12
+C10-Isoparaffin,2-methyl nonane,C10H22-2,6.63
+C11-Isoparaffin,2-methyl decane,C11H24-2,5.02
+C12-Isoparaffin,2-methyl undecane,C12H26-2,3.21
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,2.95
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,2.39
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,1.66
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.87
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.19
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.08
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
+n-C07,n-heptane,NC7H16,0
+n-C08,n-octane,NC8H18,0.67
+n-C09,n-nonane,NC9H20,4.42
+n-C10,n-decane,NC10H22,4.73
+n-C11,n-undecane,NC11H24,3.44
+n-C12,n-dodecane,NC12H26,2.49
+n-C13,n-tridecane,NC13H28,1.93
+n-C14,n-tetradecane,NC14H30,1.31
+n-C15,n-pentadecane,NC15H32,0.79
+n-C16,n-hexadecane (cetane),NC16H34,0.38
+n-C17,n-heptadecane,NC17H36,0.09
+n-C18,n-octadecane,NC18H38,0.02
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.19
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,5.81
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,5.26
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.58
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,2.82
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,2.5
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,1.53
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0.65
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0.02
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.86
+C09-Dicycloparaffin,Hydrindane,HYDRIND,1.21
+C10-Dicycloparaffin,Decalin,DECALIN,1.05
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.8
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.27
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.09
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf10264_T30_init.csv b/fuellib/data/fuelData/gcData/posf10264_T30_init.csv
new file mode 100644
index 0000000..efa6e5e
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/posf10264_T30_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.026243851
+C2-Benzene,ethyl benzene ,C6H5C2H5,0.563849082
+C3-Benzene,propyl benzene,C6H5C3H7,2.170825974
+C4-Benzene,butyl benzene,C6H5C4H9,1.868676471
+C5-Benzene,pentyl benzene,C6H5C5H11,1.243556866
+C6-Benzene,hexyl benzene,C6H5C6H13,0.815117038
+C7-Benzene,heptyl benzene,C6H5C7H15,0.343926707
+C8-Benzene,octyl benzene,C6H5C8H17,0.177068058
+C9-Benzene,nonyl benzene,C6H5C9H19,0.092682255
+Diaromatic-C10,naphthalene,NAPH,0.158282571
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.563748085
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.723177759
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.397346321
+Cycloaromatic-C09,indane,INDANE,0.037303272
+Cycloaromatic-C10,tetralin,TETRA,0.167109231
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.383886527
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.470487331
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.475804054
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.289055519
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.010816054
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.2046366
+C09-Isoparaffin,2-methyl octane,C9H20-2,1.306819247
+C10-Isoparaffin,2-methyl nonane,C10H22-2,6.254544046
+C11-Isoparaffin,2-methyl decane,C11H24-2,8.347290213
+C12-Isoparaffin,2-methyl undecane,C12H26-2,6.280064982
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,5.883941158
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,5.327191919
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,3.183676728
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.074196985
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.291668253
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.044339228
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
+n-C07,n-heptane,NC7H16,0.026471001
+n-C08,n-octane,NC8H18,0.378567896
+n-C09,n-nonane,NC9H20,1.849315933
+n-C10,n-decane,NC10H22,5.651114497
+n-C11,n-undecane,NC11H24,5.617499013
+n-C12,n-dodecane,NC12H26,4.849494222
+n-C13,n-tridecane,NC13H28,3.88941346
+n-C14,n-tetradecane,NC14H30,2.70584866
+n-C15,n-pentadecane,NC15H32,1.176763184
+n-C16,n-hexadecane (cetane),NC16H34,0.333330547
+n-C17,n-heptadecane,NC17H36,0.088344843
+n-C18,n-octadecane,NC18H38,0
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.077136106
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.395905261
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,2.052459083
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.16184899
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,4.046496274
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,3.155585379
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,3.125128759
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,1.734320799
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.157839457
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.16889367
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.031150583
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.009767699
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0.232146673
+C10-Dicycloparaffin,Decalin,DECALIN,0.450631891
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.790849113
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.997193825
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.740914494
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.681235908
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.125895154
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.121105243
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf10264_init.csv b/fuellib/data/fuelData/gcData/posf10264_init.csv
new file mode 100644
index 0000000..6b89316
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/posf10264_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.25
+C2-Benzene,ethyl benzene ,C6H5C2H5,1.98
+C3-Benzene,propyl benzene,C6H5C3H7,4.17
+C4-Benzene,butyl benzene,C6H5C4H9,2.33
+C5-Benzene,pentyl benzene,C6H5C5H11,1.19
+C6-Benzene,hexyl benzene,C6H5C6H13,0.66
+C7-Benzene,heptyl benzene,C6H5C7H15,0.25
+C8-Benzene,octyl benzene,C6H5C8H17,0.12
+C9-Benzene,nonyl benzene,C6H5C9H19,0.06
+Diaromatic-C10,naphthalene,NAPH,0.10
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.33
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.41
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.22
+Cycloaromatic-C09,indane,INDANE,0.02
+Cycloaromatic-C10,tetralin,TETRA,0.19
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.37
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.38
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.34
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.19
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.21
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.88
+C09-Isoparaffin,2-methyl octane,C9H20-2,2.59
+C10-Isoparaffin,2-methyl nonane,C10H22-2,8.15
+C11-Isoparaffin,2-methyl decane,C11H24-2,8.38
+C12-Isoparaffin,2-methyl undecane,C12H26-2,5.41
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,4.63
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,3.96
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.28
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.75
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.20
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.03
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.00
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.00
+n-C07,n-heptane,NC7H16,0.24
+n-C08,n-octane,NC8H18,1.11
+n-C09,n-nonane,NC9H20,2.97
+n-C10,n-decane,NC10H22,6.46
+n-C11,n-undecane,NC11H24,5.22
+n-C12,n-dodecane,NC12H26,3.99
+n-C13,n-tridecane,NC13H28,2.97
+n-C14,n-tetradecane,NC14H30,1.97
+n-C15,n-pentadecane,NC15H32,0.83
+n-C16,n-hexadecane (cetane),NC16H34,0.23
+n-C17,n-heptadecane,NC17H36,0.06
+n-C18,n-octadecane,NC18H38,0.00
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.51
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,1.01
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,3.06
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.47
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,3.55
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,2.45
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,2.25
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,1.19
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0.77
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.11
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.02
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0.35
+C10-Dicycloparaffin,Decalin,DECALIN,0.47
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.71
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.77
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.52
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.45
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.08
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.11
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf10289_init.csv b/fuellib/data/fuelData/gcData/posf10289_init.csv
new file mode 100644
index 0000000..c4092b1
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/posf10289_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.03
+C2-Benzene,ethyl benzene ,C6H5C2H5,0.41
+C3-Benzene,propyl benzene,C6H5C3H7,1.32
+C4-Benzene,butyl benzene,C6H5C4H9,2.09
+C5-Benzene,pentyl benzene,C6H5C5H11,1.98
+C6-Benzene,hexyl benzene,C6H5C6H13,1.80
+C7-Benzene,heptyl benzene,C6H5C7H15,1.24
+C8-Benzene,octyl benzene,C6H5C8H17,1.05
+C9-Benzene,nonyl benzene,C6H5C9H19,0.42
+Diaromatic-C10,naphthalene,NAPH,0.09
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.33
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.60
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.33
+Cycloaromatic-C09,indane,INDANE,0.03
+Cycloaromatic-C10,tetralin,TETRA,0.57
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,1.91
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,2.67
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,2.27
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,1.22
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.02
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.13
+C09-Isoparaffin,2-methyl octane,C9H20-2,0.48
+C10-Isoparaffin,2-methyl nonane,C10H22-2,1.66
+C11-Isoparaffin,2-methyl decane,C11H24-2,2.73
+C12-Isoparaffin,2-methyl undecane,C12H26-2,3.36
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,3.57
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,3.54
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.70
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.65
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.08
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.00
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.00
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.00
+n-C07,n-heptane,NC7H16,0.02
+n-C08,n-octane,NC8H18,0.19
+n-C09,n-nonane,NC9H20,0.64
+n-C10,n-decane,NC10H22,1.41
+n-C11,n-undecane,NC11H24,2.60
+n-C12,n-dodecane,NC12H26,3.09
+n-C13,n-tridecane,NC13H28,2.50
+n-C14,n-tetradecane,NC14H30,1.92
+n-C15,n-pentadecane,NC15H32,0.86
+n-C16,n-hexadecane (cetane),NC16H34,0.11
+n-C17,n-heptadecane,NC17H36,0.01
+n-C18,n-octadecane,NC18H38,0.00
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.08
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.35
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,1.53
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,3.25
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,5.77
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,6.25
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,6.11
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,4.22
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,2.27
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.41
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.01
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0.46
+C10-Dicycloparaffin,Decalin,DECALIN,1.04
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,2.84
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,4.33
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,4.53
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,3.14
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.67
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.10
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf10325_init.csv b/fuellib/data/fuelData/gcData/posf10325_init.csv
new file mode 100644
index 0000000..7bd11cf
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/posf10325_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.17
+C2-Benzene,ethyl benzene ,C6H5C2H5,1.10
+C3-Benzene,propyl benzene,C6H5C3H7,2.97
+C4-Benzene,butyl benzene,C6H5C4H9,3.32
+C5-Benzene,pentyl benzene,C6H5C5H11,2.22
+C6-Benzene,hexyl benzene,C6H5C6H13,1.45
+C7-Benzene,heptyl benzene,C6H5C7H15,0.73
+C8-Benzene,octyl benzene,C6H5C8H17,0.52
+C9-Benzene,nonyl benzene,C6H5C9H19,0.42
+Diaromatic-C10,naphthalene,NAPH,0.22
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.66
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.86
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.60
+Cycloaromatic-C09,indane,INDANE,0.02
+Cycloaromatic-C10,tetralin,TETRA,0.26
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.66
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.89
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.85
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.61
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.15
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.44
+C09-Isoparaffin,2-methyl octane,C9H20-2,1.05
+C10-Isoparaffin,2-methyl nonane,C10H22-2,4.20
+C11-Isoparaffin,2-methyl decane,C11H24-2,5.70
+C12-Isoparaffin,2-methyl undecane,C12H26-2,5.63
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,4.22
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,4.20
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.51
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.00
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.39
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.11
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.03
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.03
+n-C07,n-heptane,NC7H16,0.17
+n-C08,n-octane,NC8H18,0.54
+n-C09,n-nonane,NC9H20,1.42
+n-C10,n-decane,NC10H22,3.26
+n-C11,n-undecane,NC11H24,4.29
+n-C12,n-dodecane,NC12H26,3.74
+n-C13,n-tridecane,NC13H28,2.80
+n-C14,n-tetradecane,NC14H30,2.02
+n-C15,n-pentadecane,NC15H32,1.03
+n-C16,n-hexadecane (cetane),NC16H34,0.43
+n-C17,n-heptadecane,NC17H36,0.21
+n-C18,n-octadecane,NC18H38,0.06
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.36
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.78
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,2.30
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.11
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,5.43
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,3.73
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,4.19
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,2.19
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.33
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.42
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.24
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0.43
+C10-Dicycloparaffin,Decalin,DECALIN,0.72
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,1.52
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,1.57
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,1.21
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.81
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.27
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.16
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf11498_init.csv b/fuellib/data/fuelData/gcData/posf11498_init.csv
new file mode 100644
index 0000000..fd876d2
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/posf11498_init.csv
@@ -0,0 +1,14 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.02
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.61
+C09-Isoparaffin,2-methyl octane,C9H20-2,0.17
+C10-Isoparaffin,2-methyl nonane,C10H22-2,0.22
+C11-Isoparaffin,2-methyl decane,C11H24-2,0.52
+C12-Isoparaffin,2-methyl undecane,C12H26-2,78.28
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,1.23
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,0.53
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,16.25
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,1.69
+C24-Isoparaffin,2-methyltricosane,C24H50-2,0.12
+C12-Alkene,1-dodecene,DODECENE-1,0.08
+C16-Alkene,1-hexadecene,HEXADECENE-1,0.24
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf4658_init.csv b/fuellib/data/fuelData/gcData/posf4658_init.csv
new file mode 100644
index 0000000..2f1d77b
--- /dev/null
+++ b/fuellib/data/fuelData/gcData/posf4658_init.csv
@@ -0,0 +1,68 @@
+Compound,Reference Compound,PelePhysics Key,Weight %
+Toluene,toluene,C6H5CH3,0.16
+C2-Benzene,ethyl benzene,C6H5C2H5,0.78
+C3-Benzene,propyl benzene,C6H5C3H7,2.24
+C4-Benzene,butyl benzene,C6H5C4H9,3.02
+C5-Benzene,pentyl benzene,C6H5C5H11,2.48
+C6-Benzene,hexyl benzene,C6H5C6H13,1.93
+C7-Benzene,heptyl benzene,C6H5C7H15,1.19
+C8-Benzene,octyl benzene,C6H5C8H17,0.89
+C9-Benzene,nonyl benzene,C6H5C9H19,1.00
+Diaromatic-C10,naphthalene,NAPH,0.12
+Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.42
+Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.60
+Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.63
+Cycloaromatic-C09,indane,INDANE,0.04
+Cycloaromatic-C10,tetralin,TETRA,0.43
+Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,1.13
+Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,1.63
+Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,1.45
+Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,1.12
+C07-Isoparaffin,2-methyl hexane,C7H16-2,0.23
+C08-Isoparaffin,2-methyl heptane,C8H18-2,0.56
+C09-Isoparaffin,2-methyl octane,C9H20-2,1.08
+C10-Isoparaffin,2-methyl nonane,C10H22-2,3.59
+C11-Isoparaffin,2-methyl decane,C11H24-2,5.12
+C12-Isoparaffin,2-methyl undecane,C12H26-2,5.31
+C13-Isoparaffin,2-methyl dodecane,C13H28-2,5.25
+C14-Isoparaffin,2-methyl tridecane,C14H30-2,4.44
+C15-Isoparaffin,2-methyl tetradecane,C15H32-2,3.10
+C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.66
+C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.69
+C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.19
+C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.08
+C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.02
+n-C07,n-heptane,NC7H16,0.15
+n-C08,n-octane,NC8H18,0.54
+n-C09,n-nonane,NC9H20,1.14
+n-C10,n-decane,NC10H22,2.55
+n-C11,n-undecane,NC11H24,3.62
+n-C12,n-dodecane,NC12H26,3.70
+n-C13,n-tridecane,NC13H28,2.86
+n-C14,n-tetradecane,NC14H30,2.17
+n-C15,n-pentadecane,NC15H32,1.28
+n-C16,n-hexadecane (cetane),NC16H34,0.61
+n-C17,n-heptadecane,NC17H36,0.27
+n-C18,n-octadecane,NC18H38,0.07
+C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.20
+C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.69
+C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,1.67
+C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,3.26
+C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,4.11
+C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,4.07
+C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,3.65
+C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,2.43
+C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.55
+C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.64
+C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.37
+C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.02
+C09-Dicycloparaffin,Hydrindane,HYDRIND,0.29
+C10-Dicycloparaffin,Decalin,DECALIN,0.43
+C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,1.26
+C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,1.22
+C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,1.42
+C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.82
+C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.26
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.05
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/__init__.py b/fuellib/data/fuelData/groupDecompositionData/__init__.py
new file mode 100644
index 0000000..cee26ca
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/__init__.py
@@ -0,0 +1 @@
+"""Group decomposition data."""
diff --git a/fuellib/data/fuelData/groupDecompositionData/decane.csv b/fuellib/data/fuelData/groupDecompositionData/decane.csv
new file mode 100644
index 0000000..b531635
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/decane.csv
@@ -0,0 +1,2 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+NC10H22,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/dodecane.csv b/fuellib/data/fuelData/groupDecompositionData/dodecane.csv
new file mode 100644
index 0000000..aef9ba0
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/dodecane.csv
@@ -0,0 +1,2 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+NC12H26,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv b/fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv
new file mode 100644
index 0000000..053c076
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv
@@ -0,0 +1,3 @@
+Compound,CH3 (1),CH2 (2),CH (3),C (4),CH2=CH (1),CH=CH (2),CH2=C (2),CH=C (3),C=C (4),CH2=C=CH(1),ACH (2),AC (3),ACCH3 (2),ACCH2 (3),ACCH (4),OH (1),ACOH (2),CH3CO (1),CH2CO (2),CHO (1)*,CH3COO (1),CH2COO (2),HCOO (1),CH30 (1),CH20 (2),CH-O (3),FCH20 (1)*,CH2NH2 (1),CHNH2 (2),CH3NH (2),CH2NH (3),CHNH (4)*,CH3N (2),CH2N (3),ACNH2 (2),C5H4N (1),C5H3N (2),CH2CN (1)*,COOH (1),CH2C1 (1),CHC1 (2),CC1 (3),CHC12 (1)*,CC13 (1),CC12 (2),ACC1 (2),CH2N02 (1)*,CHN02 (2)*,ACN02 (2)*,CH2SH (1),C1(1)*,Br (1),CH≡C (1),C≡C (2)*,Cl—(C=C) (3)*,ACF (2),HCON(CH2)2 (2)*,CF3 (1),CF2 (2),CF (3),COO (2),CC12F (1),HCC1F (1),CC1F2 (1),FSpecial (1),CONH2 (1)*,CONHCH3 (1)*,CONHCH2 (1)*,CON(CH3)2 (1)*,CONCH2CH2 (3)*,CON(CH2)2 (3)*,C2H502 (1)*,C2H402 (2),CH3S (1),CH2S (2),CHS (3)*,C4H3S (1),C4H2S (2)*,Group j  (CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CR=CRm—CRp=CRk m, p G (0,1), K n G (0,2)","CH3-CHm=CH, m G (0,1), n G (0,2)","CH2-CHm=CH, m G (0,1), n G (0,2)","CH—CUm=CUn or C—CHm=CH/ m G (0,1), n G (0,2)",Alicyclic side-chain CcyclicCm m > 1,ch3ch3,CHCHO or CCHO*,CH3COCH2,CH3COCH or CH3COC,Ccyclic^=0,ACCHO*,CHCOOH or CCOOH*,ACCOOH*,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO*, CO—O—CO,ACCOO*,CHOH,COH,CHm(OH)CHn(OH),CHm cyclic-OH,CHn(OH)CHm(NHp),CHm(NH2)CHn(NH2)*,CHm cyclic—NHp—CHn cyclic*,CHnOCHm
CHp*,AC—O—CHm*,CHm cyclic—S—CHn cyclic,CHn
CHm—F,CHn
CHm—Br*,CHn
CHm—I*,ACBr*,ACI*,CHm(NH2)—COOH*
+2-methylnonane,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+undecane,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv b/fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv
new file mode 100644
index 0000000..7bfdb20
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv
@@ -0,0 +1,33 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin (lower put as same),3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C05-Monocycloparaffin,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/hefa.csv b/fuellib/data/fuelData/groupDecompositionData/hefa.csv
new file mode 100644
index 0000000..53b4bfd
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/hefa.csv
@@ -0,0 +1,68 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin (lower put as same),3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/heptane-decane.csv b/fuellib/data/fuelData/groupDecompositionData/heptane-decane.csv
new file mode 100644
index 0000000..cf6d35b
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/heptane-decane.csv
@@ -0,0 +1,3 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+NC7H16,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+NC10H22,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/heptane.csv b/fuellib/data/fuelData/groupDecompositionData/heptane.csv
new file mode 100644
index 0000000..12251cc
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/heptane.csv
@@ -0,0 +1,2 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+NC7H16,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/jet-a.csv b/fuellib/data/fuelData/groupDecompositionData/jet-a.csv
new file mode 100644
index 0000000..b0216f6
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/jet-a.csv
@@ -0,0 +1,68 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10264.csv b/fuellib/data/fuelData/groupDecompositionData/posf10264.csv
new file mode 100644
index 0000000..b0216f6
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/posf10264.csv
@@ -0,0 +1,68 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10289.csv b/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
new file mode 100644
index 0000000..b0216f6
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
@@ -0,0 +1,68 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10325.csv b/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
new file mode 100644
index 0000000..b0216f6
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
@@ -0,0 +1,68 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf11498.csv b/fuellib/data/fuelData/groupDecompositionData/posf11498.csv
new file mode 100644
index 0000000..c598988
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/posf11498.csv
@@ -0,0 +1,14 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C24-Isoparaffin,3,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Alkene,1,9,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Alkene,1,13,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf4658.csv b/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
new file mode 100644
index 0000000..b0216f6
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
@@ -0,0 +1,68 @@
+Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv b/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv
new file mode 100755
index 0000000..acbb91d
--- /dev/null
+++ b/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv
@@ -0,0 +1,90 @@
+Compound,CH3 (1),CH2 (2),CH (3),C (4),CH2=CH (1),CH=CH (2),CH2=C (2),CH=C (3),C=C (4),CH2=C=CH(1),ACH (2),AC (3),ACCH3 (2),ACCH2 (3),ACCH (4),OH (1),ACOH (2),CH3CO (1),CH2CO (2),CHO (1)*,CH3COO (1),CH2COO (2),HCOO (1),CH30 (1),CH20 (2),CH-O (3),FCH20 (1)*,CH2NH2 (1),CHNH2 (2),CH3NH (2),CH2NH (3),CHNH (4)*,CH3N (2),CH2N (3),ACNH2 (2),C5H4N (1),C5H3N (2),CH2CN (1)*,COOH (1),CH2C1 (1),CHC1 (2),CC1 (3),CHC12 (1)*,CC13 (1),CC12 (2),ACC1 (2),CH2N02 (1)*,CHN02 (2)*,ACN02 (2)*,CH2SH (1),C1(1)*,Br (1),CH≡C (1),C≡C (2)*,Cl—(C=C) (3)*,ACF (2),HCON(CH2)2 (2)*,CF3 (1),CF2 (2),CF (3),COO (2),CC12F (1),HCC1F (1),CC1F2 (1),FSpecial (1),CONH2 (1)*,CONHCH3 (1)*,CONHCH2 (1)*,CON(CH3)2 (1)*,CONCH2CH2 (3)*,CON(CH2)2 (3)*,C2H502 (1)*,C2H402 (2),CH3S (1),CH2S (2),CHS (3)*,C4H3S (1),C4H2S (2)*,Group j  (CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CR=CRm—CRp=CRk m, p G (0,1), K n G (0,2)","CH3-CHm=CH, m G (0,1), n G (0,2)","CH2-CHm=CH, m G (0,1), n G (0,2)","CH—CUm=CUn or C—CHm=CH/ m G (0,1), n G (0,2)",Alicyclic side-chain CcyclicCm m > 1,ch3ch3,CHCHO or CCHO*,CH3COCH2,CH3COCH or CH3COC,Ccyclic^=0,ACCHO*,CHCOOH or CCOOH*,ACCOOH*,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO*, CO—O—CO,ACCOO*,CHOH,COH,CHm(OH)CHn(OH),CHm cyclic-OH,CHn(OH)CHm(NHp),CHm(NH2)CHn(NH2)*,CHm cyclic—NHp—CHn cyclic*,CHnOCHm
CHp*,AC—O—CHm*,CHm cyclic—S—CHn cyclic,CHn
CHm—F,CHn
CHm—Br*,CHn
CHm—I*,ACBr*,ACI*,CHm(NH2)—COOH*
+Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Benzene,1,8,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Diaromatic-C14,1,2,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C15,1,5,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C21-Isoparaffin,3,17,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C22-Isoparaffin,3,18,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C23-Isoparaffin,3,19,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C24-Isoparaffin,3,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C19,2,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C20,2,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C21,2,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C22,2,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+n-C23,2,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C18-Monocycloparaffin,1,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C19-Monocycloparaffin,1,17,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Dicycloparaffin,1,12,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C17-Dicycloparaffin,1,13,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C13-Tricycloparaffin,0,9,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Tricycloparaffin,0,10,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C10-Alkene,1,7,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C12-Alkene,1,9,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C14-Alkene,1,11,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+C16-Alkene,1,13,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/__init__.py b/fuellib/data/fuelData/propertiesData/__init__.py
new file mode 100644
index 0000000..26ee947
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/__init__.py
@@ -0,0 +1 @@
+"""Properties data."""
diff --git a/fuellib/data/fuelData/propertiesData/decane.csv b/fuellib/data/fuelData/propertiesData/decane.csv
new file mode 100644
index 0000000..2f9f9af
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/decane.csv
@@ -0,0 +1,37 @@
+Temperature,Density,Viscosity,VaporPressure,DynamicViscosity,SurfaceTension,ThermalConductivity
+C,g/cm^3,mm^2/s,kPa,Pa*s,N/m,W/m/K
+-29.65,0.76929,3.167726085,,0.0024369,0.0285,
+-23.15,,,,,0.0279,
+-19.65,0.76138,2.503349182,0.00393,0.001906,,
+-13.15,,,,,0.0269,
+-9.65,0.75352,2.038034823,0.00792,0.0015357,,
+-9.55,,,,,,0.1386
+-3.15,,,,,0.026,0.1369
+0.35,0.7457,1.698404184,0.02,0.0012665,,
+6.85,,,,,0.025,0.13421
+10.35,0.73791,1.442452332,0.0466,0.0010644,,
+16.85,,,,,0.0241,0.13157
+20.35,0.73014,1.244487359,0.1014,0.00090865,,
+26.85,,,,,0.0232,0.12896
+30.35,0.72237,1.088015837,0.2071,0.00078595,,
+36.85,,,,,0.0223,0.12638
+40.35,0.71459,0.962062162,0.3998,0.00068748,,
+46.85,,,,,0.0214,0.12383
+50.35,0.7068,0.85901245,0.734,0.00060715,,
+56.85,,,,,0.0205,0.12132
+60.35,0.69898,0.77352714,1.288,0.00054068,,
+66.85,,,,,0.0196,0.11884
+70.35,0.69112,0.701716055,2.17,0.00048497,,
+76.85,,,,,0.0187,0.1164
+80.35,0.68321,0.640740036,3.524,0.00043776,,
+86.85,,,,,0.0178,0.11399
+90,,,5.534,,,
+96.85,,,,,0.0169,0.11163
+100,,,8.431,,,
+106.85,,,,,0.0161,0.1093
+110,,,12.495,,,
+116.85,,,,,0.0152,0.107
+120,,,18.06,,0.015,
+126.85,,,,,,0.1048
+136.85,,,,,,0.1026
+140,,,,,,0.1019
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/dodecane.csv b/fuellib/data/fuelData/propertiesData/dodecane.csv
new file mode 100644
index 0000000..cb98737
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/dodecane.csv
@@ -0,0 +1,33 @@
+Temperature,Density,Viscosity,VaporPressure,DynamicViscosity,Cp,SurfaceTension,ThermalConductivity
+C,g/cm^3,mm^2/s,kPa,Pa*s,J/mol/K,N/m,W/m/K
+-9.55,0.77153,3.754358223,0.000626,0.0028966,359.85,0.0279,0.14393
+-3.15,,,,,,0.0274,0.14227
+0.45,0.76401,2.938704991,,0.0022452,364.29,,
+6.85,,,0.00349,,,0.0265,0.13972
+10.45,0.75653,2.376244167,,0.0017977,369.15,,
+16.85,,,,,,0.0256,0.13724
+20.45,0.7491,1.970497931,,0.0014761,374.36,,
+26.85,,,0.0208,,,0.0248,0.13482
+30.45,0.7417,1.667520561,,0.0012368,379.87,0.0239,0.13245
+40.45,0.73431,1.43495254,,0.0010537,385.64,,
+46.85,,,0.0947,,,0.023,0.13014
+50.45,0.72692,1.252187311,,0.00091024,391.64,,
+56.85,,,,,,0.0221,0.12786
+60.45,0.71953,1.105680097,,0.00079557,397.82,,
+66.85,,,0.346,,,0.0212,0.12562
+70.45,0.71212,0.986210189,,0.0007023,404.16,,
+76.85,,,,,,0.0203,0.12343
+80.45,0.70468,0.887296361,,0.00062526,410.63,,
+86.85,,,1.056,,,0.0194,0.12126
+90.45,0.69719,0.804285776,,0.00056074,417.21,,
+96.85,,,,,,0.0185,0.11912
+100.45,0.68966,0.733723864,,0.00050602,423.89,,
+106.85,,,2.783,,,0.0177,0.11701
+110.45,,,,,,,
+116.85,,,,,,0.0168,0.11492
+120.45,,,,,,,
+126.85,,,6.489,,,0.0159,0.11286
+130.45,,,,,,,
+136.85,,,,,,0.0151,0.11081
+140,,,10.7,,,0.0148,0.11017
+140.45,,,,,,,
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/hefa-S1.csv b/fuellib/data/fuelData/propertiesData/hefa-S1.csv
new file mode 100755
index 0000000..de03193
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/hefa-S1.csv
@@ -0,0 +1,20 @@
+Temperature,Density,VaporPressure,Viscosity
+C,g/cm^3,kPa,mm^2/s
+-50,,,
+-40,0.78008,,5.0983
+-30,0.77194,,3.7544
+-20,0.76433,0.37,2.876
+-10,0.75689,0.96,2.2514
+0,0.7494,1.43,1.7466
+10,0.74217,1.76,1.4599
+20,0.73444,2.12,1.2459
+30,0.72726,2.57,1.1493
+40,,3.25,
+50,,4.06,
+60,,5.19,
+70,,6.93,
+80,,9.32,
+90,,12.61,
+100,,17.16,
+110,,23.13,
+120,,31.29,
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/hefa-WE-SAF-262714.csv b/fuellib/data/fuelData/propertiesData/hefa-WE-SAF-262714.csv
new file mode 100644
index 0000000..0663f97
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/hefa-WE-SAF-262714.csv
@@ -0,0 +1,20 @@
+Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity
+C,g/cm^3,kPa,mm^2/s,N/m,W/m/K
+-50,0.79867,,17.745,,
+-40,0.7901,,8.1981,,
+-30,0.78225,,5.6559,,
+-20,0.77441,0.37,4.1397,,
+-10,0.76662,0.96,3.1371,,
+0,0.75716,1.43,2.4042,,
+10,0.74983,1.76,1.9633,,
+20,0.74467,2.12,1.6429,,
+30,0.73974,2.57,1.4027,,
+40,0.73245,3.25,1.2165,,
+50,0.72533,4.06,1.0669,,
+60,,5.19,1.0202,,
+70,,6.93,,,
+80,,9.32,,,
+90,,12.61,,,
+100,,17.16,,,
+110,,23.13,,,
+120,,31.29,,,
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/hefa-jet-a-blends.csv b/fuellib/data/fuelData/propertiesData/hefa-jet-a-blends.csv
new file mode 100644
index 0000000..fb759c6
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/hefa-jet-a-blends.csv
@@ -0,0 +1,10 @@
+HEFA_concentration,Viscosity_TALL,Viscosity_CAME,Viscosity_MFAT,Density_TALL,Density_CAME,Density_MFAT
+wt percentage,mm2/s at -20 C,mm2/s at -20 C,mm2/s at -20 C,g/cm3 at 15 C,g/cm3 at 15 C,g/cm3 at 15 C
+0,3.781578947,3.781578947,3.781578947,0.8057,0.8057,0.8057
+10,3.889473684,3.884210526,3.947368421,0.8009,0.8012,0.8007
+20,3.963157895,3.989473684,4.097368421,0.7961,0.7966,0.7966
+30,4.05,4.118421053,4.247368421,0.7904,0.7922,0.7924
+40,4.165789474,4.226315789,4.431578947,0.7861,0.7874,0.7877
+50,4.276315789,4.365789474,4.581578947,0.7814,0.7828,0.7834
+60,4.394736842,4.513157895,4.781578947,0.7769,0.7783,0.779
+100,4.973684211,5.2,5.618421053,0.7573,0.7598,0.7612
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/heptane.csv b/fuellib/data/fuelData/propertiesData/heptane.csv
new file mode 100644
index 0000000..45d575b
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/heptane.csv
@@ -0,0 +1,39 @@
+Temperature,Density,Viscosity,VaporPressure,DynamicViscosity,SurfaceTension,ThermalConductivity
+C,g/cm^3,mm^2/s,kPa,Pa*s,N/m,W/m/K
+-60,0.75019,1.937642464,,0.0014536,,
+-50,0.74191,1.570136539,,0.0011649,,
+-40,0.73366,1.307472126,,0.00095924,,
+-30,0.72543,1.111933612,,0.00080663,,
+-20,0.71718,0.961571711,0.39,0.00068962,,
+-10,0.70892,0.842859561,0.644,0.00059752,,
+-9.55,,,,,0.0237,0.14005
+-3.15,,,,,0.023,0.13843
+0,0.70062,0.747109703,1.25,0.00052344,,
+6.85,,,,,0.022,0.13588
+10,0.69226,0.668491607,2.293,0.00046277,,
+16.85,,,,,0.0209,0.13331
+20,0.68385,0.602895372,4,0.00041229,,
+26.85,,,,,0.0198,0.13075
+30,0.67534,0.547457577,6.67,0.00036972,,
+36.85,,,,,0.0188,0.1282
+40,0.66674,0.500044995,10.7,0.0003334,,
+46.85,,,,,0.0178,0.12567
+50,0.65803,0.459082413,16.56,0.00030209,,
+56.85,,,,,0.0167,0.12316
+60,0.64918,0.423349456,24.83,0.00027483,,
+66.85,,,,,0.0157,0.12068
+70,,,36.18,,,
+76.85,,,,,0.0148,0.11823
+80,,,51.37,,,
+86.85,,,,,0.0138,0.11581
+90,,,71.28,,,
+96.85,,,,,0.0128,0.11342
+100,,,96.84,,,
+106.85,,,,,0.0119,0.11107
+110,,,129.1,,,
+116.85,,,,,0.011,0.10873
+120,,,169.2,,,
+126.85,,,,,0.01,0.10643
+130,,,,,,
+136.85,,,,,0.00915,0.10414
+140,,,,,0.00888,0.10342
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/posf10264.csv b/fuellib/data/fuelData/propertiesData/posf10264.csv
new file mode 100644
index 0000000..b8b99df
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/posf10264.csv
@@ -0,0 +1,22 @@
+Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity,HeatCapacity
+C,g/cm^3,kPa,mm^2/s,N/m,W/m/K,kJ/kg/K
+-40,0.822975,,6.6,,,
+-20,0.8086,,3.5,,,
+-10,,,,0.025842439,,2.018461485
+0,0.794225,0.04835033,,,0.129038462,2.047461358
+10,,,,,,2.07898547
+20,0.77985,0.628554285,,0.023836238,,2.11025023
+30,,,,,0.124038462,2.13774594
+40,0.765283333,1.402159558,1.14,0.022833667,0.12,2.18032366
+50,,,,,,2.21013612
+60,,3.432873401,,,0.116153846,2.24866239
+70,,,,,,2.28799548
+80,,7.397600428,,,,2.32905174
+90,,,,,,2.36824652
+100,,14.60179954,0.61,,,2.4095333
+110,,,,,,2.44825551
+120,,26.59268128,,,,2.48820526
+130,,,,,,2.52931339
+140,,,,,,2.56860038
+150,,,,,,2.60919559
+160,,,,,,2.66087899
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/posf10289.csv b/fuellib/data/fuelData/propertiesData/posf10289.csv
new file mode 100644
index 0000000..00f5515
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/posf10289.csv
@@ -0,0 +1,24 @@
+Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity,HeatCapacity
+C,g/cm^3,kPa,mm^2/s,N/m,W/m/K,kJ/kg/K
+-40,,,14.1,,,
+-20,,,6.5,,,
+-10,,,,0.02842143,,1.809232472
+0,0.838691667,0.04835033,,,,1.850945723
+10,,,,,,1.888953307
+20,0.823933333,0.338452307,,0.025727511,,1.920644544
+30,,,,,0.117980769,1.95028412
+40,0.80975,0.435152966,1.57,0.024724939,,1.988591385
+50,,,,,,2.017821782
+60,,1.305458899,,,,2.060491707
+70,,,,,,2.087007688
+75,,,,,0.108942308,
+80,,3.336172742,,,,2.131216358
+90,,,,,,2.168711027
+100,,6.382243506,0.76,,,2.21016494
+110,,,,,,2.250350972
+120,,13.77984393,,,,2.288128033
+125,,,,,0.100865385,
+130,,,,,,2.328342881
+140,,,,,,2.369145564
+150,,,,,,2.409671619
+160,,,,,,2.45891723
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/posf10325.csv b/fuellib/data/fuelData/propertiesData/posf10325.csv
new file mode 100644
index 0000000..8b40e31
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/posf10325.csv
@@ -0,0 +1,22 @@
+Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity,HeatCapacity
+C,g/cm^3,kPa,mm^2/s,N/m,W/m/K,kJ/kg/K
+-40,0.843866667,,9.2,,,
+-20,0.829683333,,4.5,,,
+-10,,,,0.028028403,,1.88954449
+0,0.815116667,0.04835033,,,0.124230769,1.9302667
+10,,,,,,1.96006123
+20,0.8017,0.435152966,,0.024818739,0.120192308,1.98830303
+30,,,,,,2.02902524
+40,0.787325,0.821955603,1.31,0.023619632,0.116057692,2.06817277
+50,,,,,,2.11045502
+60,,2.272465491,,,0.112211538,2.14960987
+70,,,,,,2.19033207
+80,,4.931733619,,,,2.22012661
+90,,,,,,2.2514812
+100,,9.863467237,0.68,,,2.29063604
+120,,18.75992788,,,,2.32043789
+130,,,,,,2.3705204
+140,,,,,,2.41279534
+150,,,,,,2.4519575
+160,,,,,,2.49110503
+,,,,,,2.54118754
\ No newline at end of file
diff --git a/fuellib/data/fuelData/propertiesData/posf11498.csv b/fuellib/data/fuelData/propertiesData/posf11498.csv
new file mode 100755
index 0000000..f492040
--- /dev/null
+++ b/fuellib/data/fuelData/propertiesData/posf11498.csv
@@ -0,0 +1,22 @@
+Temperature,Density,VaporPressure,Viscosity
+C,g/cm^3,kPa,mm^2/s
+-39.78658537,,,10.41126684
+-20.15243902,,,4.996496178
+0,,0.029250391,
+4.926624738,0.766266145,,
+14.98951782,0.759216842,,
+19.74128847,,0.10137713,
+25.09146341,,,1.914179104
+25.26205451,0.751886646,,
+35.11530398,0.744838516,,
+39.69930983,,0.144264166,
+40.0304878,,,1.535971059
+44.96855346,0.737790386,,
+54.82180294,0.729903095,,
+59.66534646,,0.36989935,
+64.88469602,0.722294351,,
+74.9475891,0.715245048,,
+79.41849753,,0.741743738,
+85.01048218,0.707356585,,
+99.40473264,,1.427904253,
+119.4195021,,2.764648172,
\ No newline at end of file
diff --git a/fuellib/data/fuelData/refCompounds.csv b/fuellib/data/fuelData/refCompounds.csv
new file mode 100644
index 0000000..61e8d64
--- /dev/null
+++ b/fuellib/data/fuelData/refCompounds.csv
@@ -0,0 +1,90 @@
+GCxGC Bin,Formula,Reference Compound,PelePhysics Key
+Toluene,C7H8,toluene,C6H5CH3 
+C2-Benzene,C8H10,ethyl benzene ,C6H5C2H5 
+C3-Benzene,C9H12,propyl benzene,C6H5C3H7
+C4-Benzene,C10H14,butyl benzene,C6H5C4H9
+C5-Benzene,C11H16,pentyl benzene,C6H5C5H11
+C6-Benzene,C12H18,hexyl benzene,C6H5C6H13
+C7-Benzene,C13H20,heptyl benzene,C6H5C7H15
+C8-Benzene,C14H22,octyl benzene,C6H5C8H17
+C9-Benzene,C15H24,nonyl benzene,C6H5C9H19
+C10-Benzene,C16H26,decyl benzene,C6H5C10H21
+Diaromatic-C10,C10H8,naphthalene,NAPH
+Diaromatic-C11,C11H10,1-methyl naphthalene,METHYLNAPH-1
+Diaromatic-C12,C12H12,1-ethyl naphthalene,ETHYLNAPH-1
+Diaromatic-C13,C13H14,1-propyl naphthalene,PROPYLNAPH-1
+Diaromatic-C14,C14H16,1-butyl naphthalene,BUTYLNAPH-1
+Cycloaromatic-C09,C9H10,indane,INDANE
+Cycloaromatic-C10,C10H12,tetralin,TETRA
+Cycloaromatic-C11,C11H14,2-methyl tetralin,METHYLTETRA-2
+Cycloaromatic-C12,C12H16,2-ethly tetralin,ETHYLTETRA-2
+Cycloaromatic-C13,C13H18,2-propyl tetralin,PROPYLTETRA-2
+Cycloaromatic-C14,C14H20,2-butyl tetralin,BUTYLTETRA-2
+Cycloaromatic-C15,C15H22,2-pentyl tetralin,PENTYLTETRA-2
+C07-Isoparaffin,C7H16,2-methyl hexane,C7H16-2
+C08-Isoparaffin,C8H18,2-methyl heptane,C8H18-2 
+C09-Isoparaffin,C9H20,2-methyl octane,C9H20-2
+C10-Isoparaffin,C10H22,2-methyl nonane,C10H22-2
+C11-Isoparaffin,C11H24,2-methyl decane,C11H24-2
+C12-Isoparaffin,C12H26,2-methyl undecane,C12H26-2
+C13-Isoparaffin,C13H28,2-methyl dodecane,C13H28-2
+C14-Isoparaffin,C14H30,2-methyl tridecane,C14H30-2
+C15-Isoparaffin,C15H32,2-methyl tetradecane,C15H32-2
+C16-Isoparaffin,C16H34,2-methyl pentadecane,C16H34-2
+C17-Isoparaffin,C17H36,2-methyl hexadecane,C17H36-2
+C18-Isoparaffin,C18H38,2-methyl heptadecane,C18H38-2
+C19-Isoparaffin,C19H40,2-methyl octadecane,C19H40-2
+C20-Isoparaffin,C20H42,2-methyl nonadecane,C20H42-2
+C21-Isoparaffin,C21H44,2-methyl icosane,C21H44-2
+C22-Isoparaffin,C22H46,2-methyl henicosane,C22H46-2
+C23-Isoparaffin,C23H48,2-methyl docosane,C23H48-2
+C24-Isoparaffin,C24H50,2-methyl tricosane,C24H50-2
+n-C07,C7H16,n-heptane,NC7H16
+n-C08,C8H18,n-octane,NC8H18
+n-C09,C9H20,n-nonane,NC9H20
+n-C10,C10H22,n-decane,NC10H22
+n-C11,C11H24,n-undecane,NC11H24
+n-C12,C12H26,n-dodecane,NC12H26
+n-C13,C13H28,n-tridecane,NC13H28
+n-C14,C14H30,n-tetradecane,NC14H30
+n-C15,C15H32,n-pentadecane,NC15H32
+n-C16,C16H34,n-hexadecane,NC16H34
+n-C17,C17H36,n-heptadecane,NC17H36
+n-C18,C18H38,n-octadecane,NC18H38
+n-C19,C19H40,n-nonadecane,NC19H40
+n-C20,C20H42,n-icosane,NC20H42
+n-C21,C21H44,n-henicosane,NC21H44
+n-C22,C22H46,n-docosane,NC22H46
+n-C23,C23H48,n-tricosane,NC23H48
+C07-Monocycloparaffin,C7C14,methyl cyclohexane,C6H11CH3
+C08-Monocycloparaffin,C8H16,ethyl cyclohexane,C6H11C2H5
+C09-Monocycloparaffin,C9H18,propyl cyclohexane,C6H11C3H7
+C10-Monocycloparaffin,C10H20,butyl cyclohexane,C6H11C4H9
+C11-Monocycloparaffin,C11H22,pentyl cyclohexane,C6H11C5H11
+C12-Monocycloparaffin,C12H24,hexyl cyclohexane,C6H11C6H13
+C13-Monocycloparaffin,C13H26,heptyl cyclohexane,C6H11C7H15
+C14-Monocycloparaffin,C14H28,octyl cyclohexane,C6H11C8H17
+C15-Monocycloparaffin,C15H30,nonyl cyclohexane,C6H11C9H19
+C16-Monocycloparaffin,C16H32,decyl cyclohexane,C6H11C10H21
+C17-Monocycloparaffin,C17H34,undecyl cyclohexane,C6H11C11H23
+C18-Monocycloparaffin,C18H36,dodecyl cyclohexane,C6H11C12H25
+C19-Monocycloparaffin,C19H38,tridecyl cyclohexane,C6H11C13H27
+C08-Dicycloparaffin,C8H14,Octahydropentalene,OHPEN
+C09-Dicycloparaffin,C9H16,Hydrindane,HYDRIND
+C10-Dicycloparaffin,C10H18,Decalin,DECALIN
+C11-Dicycloparaffin,C11H20,2-methyldecalin,METHYLDECALIN-2
+C12-Dicycloparaffin,C12H22,2-ethyldecalin,ETHYLDECALIN-2
+C13-Dicycloparaffin,C13H24,2-propyldecalin,PROPYLDECALIN-2
+C14-Dicycloparaffin,C14H26,2-butyldecalin,BUTYLDECALIN-2
+C15-Dicycloparaffin,C15H28,2-pentyldecalin,PENTYLDECALIN-2
+C16-Dicycloparaffin,C16H30,2-hexyldecalin,HEXYLDECALIN-2
+C17-Dicycloparaffin,C17H32,2-heptyldecalin,HEPTYLDECALIN-2
+C10-Tricycloparaffin,C10H16,C1CC2C(C1)C1CCCC21,TRICYCLO-C10
+C11-Tricycloparaffin,C11H18,C1CC2CC3CCCC3C2C1,TRICYCLO-C11
+C12-Tricycloparaffin,C12H20,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12
+C13-Tricycloparaffin,C13H22,C1CCC2C(C1)CC1CCCCC12,TRICYCLO-C13
+C14-Tricycloparaffin,C13H22,C1CCC2CC3CCCCC3CC2C1,TRICYCLO-C14
+C10-Alkene,C10H20,1-decene,DECENE-1
+C12-Alkene,C12H24,1-dodecene,DODECENE-1
+C14-Alkene,C14H28,1-tetradecene,TETRADECENE-1
+C16-Alkene,C16H32,1-hexadecene,HEXADECENE-1
\ No newline at end of file
diff --git a/fuellib/data/gcmTableData/__init__.py b/fuellib/data/gcmTableData/__init__.py
new file mode 100644
index 0000000..7fa9dc1
--- /dev/null
+++ b/fuellib/data/gcmTableData/__init__.py
@@ -0,0 +1 @@
+"""GCM table data."""
diff --git a/fuellib/data/gcmTableData/gcmTable.csv b/fuellib/data/gcmTableData/gcmTable.csv
new file mode 100644
index 0000000..997d23d
--- /dev/null
+++ b/fuellib/data/gcmTableData/gcmTable.csv
@@ -0,0 +1,15 @@
+Property,Units,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
+tck,K,1.6781,3.492,4.033,4.8823,5.0146,7.3691,6.5081,8.9582,11.3764,9.9318,3.7337,14.6409,8.213,10.3239,10.4664,9.7292,25.9145,13.2896,14.6273,10.1986,12.5965,13.8116,11.6057,6.4737,6.0723,5.0663,9.5059,12.1726,10.2075,9.8544,10.4677,7.2121,7.6924,5.5172,28.757,29.1528,27.9464,20.3781,23.7593,11.0752,10.8632,11.3959,16.3945,0,18.5875,14.1565,24.7369,23.205,34.587,13.8058,17.3947,10.5371,7.5433,11.4501,5.4334,2.8977,0,2.4778,1.7399,3.5192,12.1084,9.8408,0,4.8923,1.5974,65.1053,0,0,36.1403,0,0,17.9668,0,14.3969,17.7916,0,0,0,-0.5334,-0.5143,1.0699,1.9886,5.8254,-2.3305,-1.2978,-0.6785,0.8479,3.6714,0.4402,0.0167,-0.5231,-0.385,2.116,2.0427,-1.5826,0.2996,0.5018,2.9571,1.1696,-1.7493,6.1279,-1.3406,2.5413,-2.7617,-3.4235,-2.8035,-3.5442,5.4941,0.3233,5.4864,2.0699,2.1345,1.0159,-5.3307,4.4847,-0.4996,-1.9334,0,-2.2974,2.8907,0
+pck,bar^(-1/2),0.0199,0.0106,0.0013,-0.0104,0.025,0.0179,0.0223,0.0126,0.002,0.0313,0.0075,0.0021,0.0194,0.0122,0.0028,0.0051,-0.0074,0.0251,0.0178,0.0141,0.029,0.0218,0.0138,0.0204,0.0151,0.0099,0.009,0.0126,0.0107,0.0126,0.0104,-0.0005,0.0159,0.0049,0.0011,0.0296,0.0257,0.0361,0.0115,0.0198,0.0114,0.0031,0.0268,0,0.0349,0.0131,0.021,0.0122,0.015,0.0136,0.0028,-0.0018,0.0148,0.0041,0.016,0.013,0,0.0442,0.0129,0.0047,0.0113,0.0354,0,0.039,0.0144,0.0043,0,0,0.0401,0,0,0.0254,0,0.016,0.0111,0,0,0,0.000488,0.00141,-0.00185,-0.0052,-0.01323,0.003714,0.001171,0.000424,0.002257,-0.0098,0.004186,-0.00018,0.003538,0.005675,-0.00255,0.005175,0.003659,0.001474,-0.0023,0.003818,-0.00248,0.00492,0.000344,0.000659,0.001067,-0.00488,-0.00054,-0.00439,0.000178,0.005052,0.006917,0.001408,0.002148,-0.00595,-0.00088,-0.00225,0,0.000319,0,0,0.009027,0.008247,0
+vck,m^3/kmol,0.075,0.0558,0.0315,-0.0003,0.1165,0.0954,0.0918,0.0733,0.0762,0.1483,0.0422,0.0398,0.1036,0.101,0.0712,0.039,0.0316,0.134,0.1119,0.0863,0.1589,0.1365,0.1056,0.0875,0.0729,0.0587,0.0686,0.1313,0.0753,0.1215,0.0996,0.0916,0.126,0.067,0.0636,0.2483,0.1703,0.1583,0.1019,0.1156,0.1035,0.0792,0.1695,0,0.2103,0.1016,0.1653,0.1423,0.1426,0.1025,0.1081,0.0828,0.0933,0.0763,0.0569,0.0567,0,0.1148,0.0952,0,0.0859,0.1821,0,0.1475,0.0378,0.1443,0,0,0.2503,0,0,0.1675,0,0.1302,0.1165,0,0,0,0.004,0.00572,-0.00398,-0.01081,-0.023,-0.00014,-0.00851,-0.00866,0.01636,-0.027,-0.00781,-0.00098,0.00281,0.00826,-0.01755,0.00227,-0.00664,-0.0051,-0.00122,-0.01966,0.00664,0.00559,-0.00415,-0.00293,-0.00591,-0.00144,0.02605,-0.00777,0.01511,0.00397,-0.02297,0.00433,0.0058,-0.0138,0.00297,-0.00045,0,-0.00596,0.0051,0,-0.00832,-0.00341,0
+tbk,K,0.8894,0.9225,0.6033,0.2878,1.7827,1.8433,1.7117,1.7957,1.8881,3.1243,0.9297,1.6254,1.9669,1.9478,1.7444,3.2152,4.4014,3.5668,3.8967,2.8526,3.636,3.3953,3.1459,2.2536,1.6249,1.1557,2.5892,3.1656,2.5983,3.1376,2.6127,1.578,2.1647,1.2171,5.4736,6.28,5.9234,5.0525,5.8337,2.9637,2.6948,2.2073,3.93,3.56,4.5797,2.6293,5.7619,5.0767,6.0837,3.2914,3.665,2.6495,2.3678,2.5645,1.7824,0.9442,7.2644,1.288,0.6115,1.1739,2.6446,2.8881,2.3086,1.9163,1.0081,10.3428,0,0,7.6904,0,6.7822,5.5566,5.4248,3.6796,3.6763,2.6812,5.7093,5.826,-0.1157,-0.0489,0.1798,0.3189,0.7273,0.4745,0.3563,0.1919,0.1957,0.3489,0.1589,0.0668,-0.1406,-0.09,0.0511,0.6884,-0.1074,0.0224,0.092,0.558,0.0735,-0.1552,0.7801,-0.2383,0.4456,-0.1977,0.0835,-0.5385,-0.6331,1.4108,-0.069,1.0682,0.4247,0.2499,0.1134,-0.2596,0.4408,-0.1168,-0.3201,-0.4453,-0.6776,-0.3678,0
+tmk,K,0.464,0.9246,0.3557,1.6479,1.6472,1.6322,1.7899,2.0018,5.1175,3.3439,1.4669,0.2098,1.8635,0.4177,-1.7567,3.5979,13.7349,4.8776,5.6622,4.2927,4.0823,3.5572,4.225,2.9248,2.0695,4.0352,4.5047,6.7684,4.1187,4.5341,6.0609,3.41,4.058,0.9544,10.1031,0,12.6275,4.1859,11.563,3.3376,2.9933,9.8409,5.1638,0,10.2337,2.7336,5.5424,4.9738,8.4724,3.0044,4.6089,3.7442,3.9106,9.5793,1.5598,2.5015,0,3.2411,0,0,3.4448,7.4756,0,2.7523,1.9623,31.2786,0,0,11.377,0,0,0,0,5.0506,3.1468,0,0,0,0.0381,-0.2355,0.4401,-0.4923,6.065,1.3772,0,0.6824,1.5656,6.9709,1.9913,0.2476,-0.587,-0.2361,-2.8298,1.488,2.0547,-0.2951,-0.2986,0.7143,-0.6697,-3.1034,28.4324,0.4838,0.0127,-2.3598,-2.0198,-0.548,0.3189,0.9124,9.5209,2.7826,2.5114,1.0729,0.2476,0.1175,-0.2914,-0.0514,-1.6425,0,2.5832,-1.5511,0
+hfk,kJ/mol,-45.947,-20.763,-3.766,17.119,53.712,69.939,64.145,82.528,104.293,197.322,11.189,27.016,-19.243,9.404,27.671,-181.422,-164.609,-182.329,-164.41,-129.158,-389.737,-359.258,-332.822,-163.569,-151.143,-129.488,-140.313,-15.505,3.32,5.432,23.101,26.718,54.929,69.885,20.079,134.062,139.758,88.298,-396.242,-73.568,-63.795,-57.795,-82.921,0,-107.188,-16.752,-66.138,-59.142,-7.365,-8.253,57.546,1.834,220.803,227.368,-36.097,-161.74,0,-679.195,0,0,-313.545,-258.96,0,-446.835,-223.398,-203.188,-67.778,-182.096,-189.888,-46.562,0,-344.125,0,-2.084,18.022,0,0,0,-0.86,-1.338,6.771,7.205,14.271,104.8,99.455,13.782,-9.66,15.465,-8.392,0.474,1.472,4.504,1.252,-2.792,-2.092,0.975,4.753,14.145,-3.173,1.279,12.245,-7.807,37.462,-16.097,-9.874,-3.887,-24.125,0.366,-16.333,-2.992,2.855,0.351,-8.644,1.532,-0.329,0,11.989,0,12.285,11.207,11.74
+gfk,kJ/mol,-8.03,8.231,19.848,37.977,84.926,92.9,88.402,93.745,116.613,221.308,22.533,30.485,22.505,41.228,52.948,-158.589,-132.097,-131.366,-132.386,-107.858,-318.616,-291.188,-288.902,-105.767,-101.563,-92.099,-90.883,58.085,63.051,82.471,95.888,85.001,128.602,132.756,68.861,199.958,199.288,121.544,-349.439,-33.373,-31.502,-25.261,-35.814,0,-53.332,-0.596,17.963,18.088,60.161,16.731,46.945,-1.721,217.003,216.328,-28.148,-144.549,0,-626.58,0,0,-281.495,-209.337,0,-392.975,-212.718,-136.742,0,0,-65.642,0,0,-241.373,0,30.222,38.346,0,0,0,0.297,-0.399,6.342,7.466,16.224,94.564,92.573,5.733,-8.18,20.597,-5.505,0.95,0.699,1.013,1.041,-1.062,-1.359,0.075,0,23.539,-2.602,2.149,10.715,-6.208,29.181,-12.809,-7.415,-6.77,-20.77,3.805,-5.487,-1.6,1.858,8.846,-13.167,-0.654,-2.091,0,12.373,0,14.161,12.53,0
+hvk,KJ/mol,4.116,4.65,2.771,1.284,6.714,7.37,6.797,8.178,9.342,12.318,4.098,12.552,9.776,10.185,8.834,24.529,40.246,18.999,20.041,12.909,22.709,17.759,0,10.919,7.478,5.708,11.227,14.599,11.876,14.452,14.481,0,6.947,6.918,28.453,31.523,31.005,23.34,43.046,13.78,11.985,9.818,19.208,17.574,0,11.883,30.644,26.277,0,14.931,14.364,11.423,7.751,11.549,0,4.877,0,8.901,1.86,8.901,0,13.322,0,8.301,0,0,0,51.787,0,0,0,0,0,16.921,17.117,13.265,27.966,0,0.292,-0.72,0.868,1.027,2.426,0,0,-0.568,-0.905,-0.847,2.057,-0.073,-0.369,0.345,-0.114,0,0.207,-0.668,0.071,0.744,-3.41,0,8.502,-3.345,0,1.517,0,-1.398,0.32,-3.661,4.626,0,0,2.311,0,0,0.972,0,0,0,-7.488,-4.864,0
+wk,1,0.296,0.147,-0.071,-0.351,0.408,0.252,0.223,0.235,-0.21,0.152,0.027,0.334,0.146,-0.088,1.524,0.737,1.015,0.633,0.963,1.133,0.756,0.765,0.526,0.442,0.218,0.509,0.8,0,0.953,0.55,0.386,0.384,0.075,0.793,0,0,0,1.67,0.57,0,0,0.716,0,0.617,0,0.296,0,0,0,0,0.233,0.278,0.618,0,0,0.263,0.5,0,0,0,0,0.503,0,0.547,0,0,0,0,0,0,0,0.428,0,0,0.438,0.739,0,0,0.0174,0.01922,-0.00475,-0.02883,-0.08632,0.17563,0.22216,0.16284,-0.03065,-0.02094,0.01648,0.00619,-0.0115,0.02778,-0.11024,-0.1124,0,-0.20789,-0.16571,0,0,0.08774,0,-0.26623,0,0.91939,0,0.03654,0.21106,0,0,0,0,-0.13106,0,0,-0.01509,0,0,0,-0.03078,0.00001,0
+vmk,m^3/kmol,0.0261,0.0164,0.0071,-0.0038,0.0373,0.0269,0.027,0.0161,0.003,0.0434,0.0132,0.0044,0.0289,0.0192,0.0099,0.0055,0.0113,0.0365,0.0282,0.02,0.045,0.0357,0.0267,0.0327,0.0231,0.018,0.0206,0.0265,0.0195,0.0267,0.0232,0.0181,0.0191,0.0168,0.0137,0.0608,0.0524,0.0331,0.0223,0.0337,0.0266,0.0202,0.0468,0.062,0,0.0241,0.0338,0.0262,0.025,0.0345,0.0279,0.0214,0,0.0145,0.0153,0.0173,0,0,0,0,0.0192,0.0538,0,0.0538,0,0,0,0,0.0548,0,0,0.041,0,0.0348,0.0273,0,0,0,0.00133,0.00179,-0.00203,-0.00243,-0.00744,0,0,0.00213,0.00063,-0.00519,-0.00188,0.00009,0.00012,0.00142,-0.00107,0,-0.00009,-0.0003,-0.00108,-0.00111,-0.00036,-0.0005,0.00777,0.00083,0.00036,0.00198,0.00001,-0.00092,0.00175,0.00235,-0.0025,0.00046,0,-0.00179,-0.00206,0.01203,-0.00023,0,0,0,0.00178,0.00171,0
+CpAk,J/mol/K,35.1152,22.6346,8.9272,0.3456,49.2506,35.2248,37.6299,21.3528,10.2797,66.0574,16.3794,10.4283,42.8569,32.8206,19.9504,27.2107,39.7712,59.3032,0,40.7501,66.8423,0,51.5048,50.5604,39.5784,25.675,0,57.6861,44.1122,53.7012,44.6388,0,41.4064,30.1561,47.1311,84.7602,0,58.2837,46.5577,48.4648,36.5885,29.1848,60.8262,56.1685,78.6054,33.645,63.7851,51.1442,0,58.2445,29.1815,28.026,45.9768,26.7371,25.8094,30.1696,0,63.2024,44.3567,0,0,0,0,0,22.2082,0,0,0,0,0,0,0,0,57.767,45.0314,40.5275,80.301,0,0.583,0.3226,0.9668,-0.3082,-0.1201,8.5546,3.1721,-5.906,-3.9682,-3.2746,2.6142,-1.3913,0.263,6.5145,4.1707,0,0,3.7978,0,0,0,0,-15.7667,0,0,-6.4072,0,2.4484,-1.5252,0,0,0,0,0,0,0,-2.7407,0,-1.6978,0,-2.2923,-0.3162,0
+CpBk,J/mol/K,39.5923,45.0933,59.9786,74.0368,59.384,62.1924,62.1285,66.3947,65.5372,69.3936,32.7433,25.3634,65.6464,70.4153,81.8764,2.7609,35.5676,67.8149,0,19.699,102.4553,0,44.4133,38.9681,41.8177,24.7281,0,64.0768,77.2155,71.7948,68.5041,0,85.0996,81.6814,51.3326,177.2513,0,49.6388,48.2322,37.237,47.6004,52.3817,41.9908,46.9337,32.1318,23.2759,83.4744,94.2934,0,46.9958,-9.7846,-7.1651,20.6417,21.7676,-5.2241,26.9738,0,51.9366,44.5875,0,0,0,0,0,-2.8385,0,0,0,0,0,0,0,0,44.1238,55.1432,55.0141,132.7786,0,-1.2002,2.1309,-2.0762,1.8969,4.2846,-22.9771,-10.0834,-1.871,17.7889,32.167,4.4511,-1.5496,-2.3428,-17.5541,-3.1964,0,0,-7.3251,0,0,0,0,-0.1174,0,0,15.2583,0,-0.0765,-7.638,0,0,0,0,0,0,0,11.1033,0,1.0477,0,3.1142,2.3711,0
+CpCk,J/mol/K,-9.9232,-15.7033,-29.5143,-45.7878,-21.7908,-24.8156,-26.0637,-29.3703,-30.6057,-25.1081,-13.1692,-12.7283,-21.067,-28.9361,-40.2864,1.306,-15.5875,-20.9948,0,-5.436,-43.3306,0,-19.6155,-4.7799,-11.0837,4.2419,0,-21.048,-33.5086,-22.9685,-26.7106,0,-35.6318,-36.1441,-25.0276,-72.3213,0,-15.6291,-20.4868,-13.0635,-22.8148,-30.8526,-20.4091,-31.3325,-19.4033,-12.2406,-35.1171,-45.2029,0,-10.5106,3.4554,2.4332,-8.3297,-6.4481,1.4542,-13.3722,0,-28.6308,-23.282,0,0,0,0,0,1.2679,0,0,0,0,0,0,0,0,-9.5565,-18.7776,-31.719,-58.3241,0,-0.0584,-1.5728,0.3148,-1.6454,-2.0262,10.7278,4.9674,4.2945,-3.3639,-17.8246,-5.9808,2.5899,0.8975,10.6977,-1.1997,0,0,2.5312,0,0,0,0,6.1191,0,0,-8.3149,0,0.146,8.1795,0,0,0,0,0,0,0,-11.0878,0,0.2002,0,-1.4995,-1.4825,-0.0584
+MW,g/mol,15,14,13,12,27,26,26,25,24,39,13,12,27,26,25,17,29,43,42,41,59,58,45,31,30,29,49,30,29,30,29,28,29,28,28,78,77,40,45,49.5,48.5,47.5,84,119.5,118.5,47.5,60,59,58,47,35.5,80,25,24,59.5,31,71,69,50,31,44,102,67.5,85.5,0,44,58,57,72,0,70,61,60,47,46,45,83,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/exporters/__init__.py b/fuellib/exporters/__init__.py
new file mode 100644
index 0000000..4762ce3
--- /dev/null
+++ b/fuellib/exporters/__init__.py
@@ -0,0 +1,9 @@
+"""
+Export utilities for FuelLib.
+
+This module provides functions to export FuelLib data in various formats.
+"""
+
+from . import converge, pele
+
+__all__ = ["converge", "pele"]
diff --git a/source/Export4Converge.py b/fuellib/exporters/converge.py
similarity index 92%
rename from source/Export4Converge.py
rename to fuellib/exporters/converge.py
index d727c40..bc24a70 100644
--- a/source/Export4Converge.py
+++ b/fuellib/exporters/converge.py
@@ -1,15 +1,11 @@
 import os
-import sys
 import numpy as np
 import pandas as pd
 import argparse
-import FuelLib as fl
+import fuellib as fl
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
+# Default data directory - use fuellib's embedded data
+FUELDATA_DIR = fl.get_fueldata_dir()
 
 """
 Script that exports mixture properties over large temperature range for use in
@@ -20,7 +16,7 @@
 The file contains mixture properties for the fuel, formatted for Converge.
 
 Usage:
-    python Export4Converge.py --fuel_name <fuel_name>
+    fl-export-converge --fuel_name <fuel_name>
 
 Options:
         --units <units>
@@ -141,7 +137,7 @@ def create_data_dict(
 
 def export_converge(
     fuel,
-    path=os.path.join(FUELLIB_DIR, "exportData"),
+    path=None,
     units="mks",
     temp_min=0,
     temp_max=1000,
@@ -155,7 +151,7 @@ def export_converge(
     :type fuel: fl.fuel
 
     :param path: Directory to save the input file.
-    :type path: str, optional (default: FuelLib/exportData)
+    :type path: str, optional (default: current directory/exportData)
 
     :param units: Units for the properties ("mks" for SI, "cgs" for CGS).
     :type units: str, optional (default: "mks")
@@ -178,6 +174,9 @@ def export_converge(
     :raises ValueError: If input parameters are invalid
     :raises TypeError: If fuel object is not a FuelLib fuel instance
     """
+    if path is None:
+        path = os.path.join(os.getcwd(), "exportData")
+
     # Input validation
     if not hasattr(fuel, "compounds") or not hasattr(fuel, "Y_0"):
         raise TypeError("fuel parameter must be a valid FuelLib fuel object")
@@ -507,30 +506,6 @@ def export_properties_to_csv(file_path, data_dict, overwrite=True):
         export_properties_to_csv(composition_file, composition_data)
 
 
-def validate_fuel_files(fuel_name, fuel_data_dir):
-    """
-    Validate that required fuel data files exist.
-
-    :param fuel_name: Name of the fuel.
-    :type fuel_name: str
-    :param fuel_data_dir: Directory containing fuel data files.
-    :type fuel_data_dir: str
-    :raises FileNotFoundError: If required files are missing.
-    """
-    gcxgc_file = os.path.join(fuel_data_dir, f"gcData/{fuel_name}_init.csv")
-    decomp_file = os.path.join(fuel_data_dir, f"groupDecompositionData/{fuel_name}.csv")
-
-    if not os.path.exists(gcxgc_file):
-        raise FileNotFoundError(f"GCXGC file for {fuel_name} not found: {gcxgc_file}")
-
-    if not os.path.exists(decomp_file):
-        raise FileNotFoundError(
-            f"Decomposition file for {fuel_name} not found: {decomp_file}"
-        )
-
-    print("All required files found.")
-
-
 def main():
     """
     Main function to execute the export process.
@@ -554,7 +529,7 @@ def main():
     :type --temp_step: float, optional (default: 10 K)
 
     :param --export_dir: Directory to export the properties.
-    :type --export_dir: str, optional (default: FuelLib/exportData)
+    :type --export_dir: str, optional (default: current directory/exportData)
 
     :param --export_mix: Whether to export individual component or mixture properties.
     :type --export_mix: bool, optional (default: False)
@@ -569,63 +544,79 @@ def main():
 
     # Mandatory argument for fuel name
     parser.add_argument(
+        "-f",
         "--fuel_name",
         required=True,
+        metavar="NAME",
         help="Name of the fuel (mandatory).",
     )
 
     # Optional argument for fuel data directory
     parser.add_argument(
+        "-D",
         "--fuel_data_dir",
         default=FUELDATA_DIR,
+        metavar="PATH",
         help="Directory where fuel data files are located (optional, default: FuelLib/fuelData).",
     )
 
     # Optional argument for units
     # Default is 'mks', but can be set to 'cgs'
     parser.add_argument(
+        "-u",
         "--units",
         default="mks",
-        help="Units for critical properties: mks or cgs (optional, default: mks).",
+        metavar="{mks,cgs}",
+        help="Units for critical properties (optional, default: mks).",
     )
 
     # Optional argument for minimum temperature
     parser.add_argument(
+        "-t",
         "--temp_min",
         type=float,
         default=0,
-        help="Minimum temperature (K) for the property calculations (optional, default: 0).",
+        metavar="K",
+        help="Minimum temperature for property calculations (optional, default: 0).",
     )
 
     # Optional argument for maximum temperature
     parser.add_argument(
+        "-T",
         "--temp_max",
         type=float,
         default=1000,
-        help="Maximum temperature (K) for the property calculations (optional, default: 1000).",
+        metavar="K",
+        help="Maximum temperature for property calculations (optional, default: 1000).",
     )
 
     # Optional argument for temperature step size
     parser.add_argument(
+        "-s",
         "--temp_step",
         type=int,
         default=10,
-        help="Step size for temperature (K) (optional, default: 10).",
+        metavar="K",
+        help="Step size for temperature (optional, default: 10).",
     )
 
     # Optional argument for export directory
     parser.add_argument(
+        "-o",
         "--export_dir",
-        default=os.path.join(FUELLIB_DIR, "exportData"),
-        help="Directory to export the properties (optional, default: FuelLib/exportData).",
+        default=os.path.join(os.getcwd(), "exportData"),
+        metavar="PATH",
+        help="Directory to export the properties (optional, default: ./exportData).",
     )
 
     # Optional argument for exporting mixture properties
     parser.add_argument(
+        "-m",
         "--export_mix",
         type=lambda x: str(x).lower() in ["true", "1"],
         default=False,
-        help="Option to export mixture properties of the fuel (True or False, default: False).",
+        metavar="{true,false}",
+        help="Export mixture properties of the fuel (optional, default: false).",
     )
 
     # Parse arguments
diff --git a/source/Export4Pele.py b/fuellib/exporters/pele.py
similarity index 95%
rename from source/Export4Pele.py
rename to fuellib/exporters/pele.py
index 804838f..c209665 100644
--- a/source/Export4Pele.py
+++ b/fuellib/exporters/pele.py
@@ -1,17 +1,13 @@
 import os
-import sys
 import pandas as pd
 import argparse
 import subprocess
 from datetime import datetime
 from scipy import stats as st
-import FuelLib as fl
+import fuellib as fl
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
+# Default data directory - use fuellib's embedded data
+FUELDATA_DIR = fl.get_fueldata_dir()
 
 """
 Script that exports critical properties and initial mass fraction data
@@ -23,7 +19,7 @@
 the fuel, formatted for Pele.
 
 Usage:
-    python Export4Pele.py --fuel_name <fuel_name>
+    fl-export-pele --fuel_name <fuel_name>
 
 Options:
         --units <mks or cgs>
@@ -246,7 +242,7 @@ def vec_to_str(vec):
 
 def export_pele(
     fuel,
-    path=os.path.join(FUELLIB_DIR, "exportData"),
+    path=None,
     units="mks",
     dep_fuel_names=None,
     use_pp_keys=True,
@@ -262,7 +258,7 @@ def export_pele(
     :type fuel: fuel object
 
     :param path: Directory to save the input file.
-    :type path: str, optional (default: FuelLib/exportData)
+    :type path: str, optional (default: current directory/exportData)
 
     :param units: Units for the properties ("mks" for SI, "cgs" for CGS).
     :type units: str, optional (default: "mks")
@@ -291,6 +287,9 @@ def export_pele(
     :raises ValueError: If input parameters are invalid
     :raises TypeError: If fuel object is not a FuelLib fuel instance
     """
+    if path is None:
+        path = os.path.join(os.getcwd(), "exportData")
+
     # Input validation
     if not hasattr(fuel, "compounds") or not hasattr(fuel, "Y_0"):
         raise TypeError("fuel parameter must be a valid FuelLib fuel object")
@@ -535,7 +534,7 @@ def main():
     :param --use_pp_keys: Use the PelePhysics key for each compound (True or False). Default is True.
     :type --use_pp_keys: bool, optional
 
-    :param --export_dir: Directory to export the properties. Default is "FuelLib/exportData".
+    :param --export_dir: Directory to export the properties. Default is "current directory/exportData".
     :type --export_dir: str, optional
 
     :param --export_mix: Option to export mixture properties of the fuel (True or False). Default is False.
@@ -560,84 +559,106 @@ def main():
 
     # Mandatory argument for fuel name
     parser.add_argument(
+        "-f",
         "--fuel_name",
         required=True,
+        metavar="NAME",
         help="Name of the fuel (mandatory).",
     )
 
     # Optional argument for fuel data directory
     parser.add_argument(
+        "-D",
         "--fuel_data_dir",
         default=FUELDATA_DIR,
+        metavar="PATH",
         help="Directory where fuel data files are located (optional, default: FuelLib/fuelData).",
     )
 
     # Optional argument for decomposition file name
     parser.add_argument(
+        "-c",
         "--fuel_decomp_name",
         default=None,
+        metavar="NAME",
         help="Name of the decomposition file (optional). If not provided, defaults to fuel_name.",
     )
 
     # Optional argument for units
     # Default is 'mks', but can be set to 'cgs'
     parser.add_argument(
+        "-u",
         "--units",
         default="mks",
-        help="Units for critical properties: mks or cgs (optional, default: mks).",
+        metavar="{mks,cgs}",
+        help="Units for critical properties (optional, default: mks).",
     )
 
     # Optional argument for deposition fuel names
     parser.add_argument(
+        "-d",
         "--dep_fuel_names",
         nargs="+",  # Accepts one or more values
         default=None,
+        metavar="NAME",
         help="Space-separated list or single fuel that each compound deposits to (optional, default: fuel.compounds).",
     )
 
     # Optional argument for using PelePhysics key
     parser.add_argument(
+        "-pp",
         "--use_pp_keys",
         type=lambda x: str(x).lower() in ["true", "1"],
         default=True,
-        help="Use the PelePhysics key for each compound (True or False, default: True).",
+        metavar="{true,false}",
+        help="Use PelePhysics keys for each compound (optional, default: true).",
     )
 
     # Optional argument for export directory
     parser.add_argument(
+        "-o",
         "--export_dir",
-        default=os.path.join(FUELLIB_DIR, "exportData"),
-        help="Directory to export the properties (optional, default: FuelLib/exportData).",
+        default=os.path.join(os.getcwd(), "exportData"),
+        metavar="PATH",
+        help="Directory to export the properties (optional, default: ./exportData).",
     )
 
     # Optional argument for exporting mixture properties
     parser.add_argument(
+        "-m",
         "--export_mix",
         type=lambda x: str(x).lower() in ["true", "1"],
         default=False,
-        help="Option to export mixture properties of the fuel (True or False, default: False).",
+        metavar="{true,false}",
+        help="Export mixture properties of the fuel (optional, default: false).",
     )
 
     # Optional argument for mixture name if different than fuel_name
     parser.add_argument(
+        "-n",
         "--export_mix_name",
         default=None,
+        metavar="NAME",
         help="Name the mixture if different than fuel_name (optional, default: fuel_name).",
     )
 
     # Optional argument for liquid property model
     parser.add_argument(
+        "-l",
         "--liq_prop_model",
         default="gcm",
-        help='Model for liquid properties: "gcm" (default) or "mp" (optional, default: gcm).',
+        metavar="{gcm,mp}",
+        help="Model for liquid properties (optional, default: gcm).",
     )
 
     # Optional argument for printing Antoine coefficients in MP model
     parser.add_argument(
+        "-psat",
         "--psat_antoine",
         type=lambda x: str(x).lower() in ["true", "1"],
         default=True,
-        help="Use Antoine coefficients for vapor pressure in MP model (True or False, default: True).",
+        metavar="{true,false}",
+        help="Use Antoine coefficients for vapor pressure in MP model (optional, default: true).",
     )
 
     # Parse arguments
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..6647d03
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,78 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "fuellib"
+version = "0.1.0"
+description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
+readme = "README.md"
+license = {text = "Apache-2.0"}
+authors = [
+    {name = "NLR", email = "david.montgomery@nlr.gov"},
+]
+requires-python = ">=3.8"
+keywords = ["fuel", "thermodynamics", "group-contribution", "properties"]
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Intended Audience :: Science/Research",
+    "License :: OSI Approved :: Apache Software License",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Topic :: Scientific/Engineering",
+]
+
+dependencies = [
+    "numpy>=1.19.0",
+    "pandas>=1.0.0",
+    "scipy>=1.5.0",
+    "importlib-resources>=5.0; python_version < '3.9'",
+]
+
+[project.optional-dependencies]
+dev = [
+    "black>=26.3.1",
+    "pytest>=6.0",
+    "sphinx>=4.0",
+    "sphinx-rtd-theme>=1.0",
+    "sphinxcontrib-bibtex>=2.0",
+]
+
+[project.scripts]
+fl-export-converge = "fuellib.exporters.converge:main"
+fl-export-pele = "fuellib.exporters.pele:main"
+
+[project.urls]
+Repository = "https://github.com/NatLabRockies/FuelLib"
+Issues = "https://github.com/NatLabRockies/FuelLib/issues"
+Documentation = "https://NatLabRockies.github.io/FuelLib"
+
+[tool.setuptools]
+packages = ["fuellib", "fuellib.exporters"]
+
+[tool.setuptools.package-data]
+fuellib = [
+    "data/**/*.csv",
+]
+
+[tool.black]
+line-length = 88
+target-version = ["py38", "py39", "py310", "py311", "py312"]
+extend-exclude = '''
+/(
+  # directories
+  \.eggs
+  | \.git
+  | \.hg
+  | \.mypy_cache
+  | \.tox
+  | \.venv
+  | build
+  | dist
+)/
+'''
diff --git a/tests/get_pred_and_data.py b/tests/get_pred_and_data.py
index 5c5a840..1ec0b6b 100644
--- a/tests/get_pred_and_data.py
+++ b/tests/get_pred_and_data.py
@@ -1,14 +1,11 @@
 import os
-import sys
 import numpy as np
 import pandas as pd
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
-import FuelLib as fl
+import fuellib as fl
+from fuellib._data_locator import get_fueldata_props_dir
+
+FUELDATA_PROPS_DIR = get_fueldata_props_dir()
 
 
 def get_pred_and_data(fuel_name, prop_name):
diff --git a/tests/test_accuracy.py b/tests/test_accuracy.py
index 8373ca2..69570ff 100644
--- a/tests/test_accuracy.py
+++ b/tests/test_accuracy.py
@@ -1,15 +1,12 @@
 import os
-import sys
 import numpy as np
 import pandas as pd
 from get_pred_and_data import get_pred_and_data
 import unittest
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
+# Locate the tests baseline directory
+TESTS_DIR = os.path.dirname(os.path.abspath(__file__))
+TESTS_BASELINE_DIR = os.path.join(TESTS_DIR, "baselinePredictions")
 
 
 class CompTestCase(unittest.TestCase):
diff --git a/tests/test_api.py b/tests/test_api.py
index ad74dbd..55e9364 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -1,15 +1,8 @@
 import inspect
-import os
-import sys
 import unittest
 import numpy as np
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
-import FuelLib as fl
+import fuellib as fl
 
 
 def _normalize_signature(sig):
diff --git a/tutorials/basic.py b/tutorials/basic.py
index 9fd432a..7a30bca 100644
--- a/tutorials/basic.py
+++ b/tutorials/basic.py
@@ -1,11 +1,4 @@
-import os
-import sys
-
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-sys.path.append(FUELLIB_DIR)
-import paths
-import FuelLib as fl
+import fuellib as fl
 
 # Create a fuel object for the fuel "heptane-decane"
 fuel = fl.fuel("heptane-decane")
diff --git a/tutorials/compositionPlots.py b/tutorials/compositionPlots.py
index 2a05525..1d2d831 100644
--- a/tutorials/compositionPlots.py
+++ b/tutorials/compositionPlots.py
@@ -1,15 +1,9 @@
-import os
-import sys
 import numpy as np
 import pandas as pd
 import re
 import matplotlib.pyplot as plt
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-sys.path.append(FUELLIB_DIR)
-import paths
-import FuelLib as fl
+import fuellib as fl
 
 fuel_name = "posf10325"
 
diff --git a/tutorials/hefaBlends.py b/tutorials/hefaBlends.py
index 333d179..1b89fe8 100644
--- a/tutorials/hefaBlends.py
+++ b/tutorials/hefaBlends.py
@@ -1,14 +1,9 @@
 import os
-import sys
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-sys.path.append(FUELLIB_DIR)
-from paths import *
-import FuelLib as fl
+import fuellib as fl
 
 # -----------------------------------------------------------------------------
 # Calculate mixture properties from the group contribution properties
@@ -65,7 +60,7 @@ def getPredAndData(fuel_name, prop_name, blend):
     jetA = fl.fuel(conv_fuel_name)
 
     data_file = "hefa-jet-a-blends.csv"
-    data = pd.read_csv(os.path.join(FUELDATA_PROPS_DIR, data_file), skiprows=[1])
+    data = pd.read_csv(os.path.join(fl.get_fueldata_props_dir(), data_file), skiprows=[1])
     col = f"{prop_name}_{fuel_name[5:].upper()}"
     prop_data = data[col]
     blend_data = data["HEFA_concentration"]
diff --git a/tutorials/mixtureProperties.py b/tutorials/mixtureProperties.py
index 75b86da..6117341 100644
--- a/tutorials/mixtureProperties.py
+++ b/tutorials/mixtureProperties.py
@@ -1,14 +1,9 @@
 import os
-import sys
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
 
-# Add the FuelLib directory to the Python path
-FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-sys.path.append(FUELLIB_DIR)
-from paths import *
-import FuelLib as fl
+import fuellib as fl
 
 # -----------------------------------------------------------------------------
 # Calculate mixture properties from the group contribution properties
@@ -89,7 +84,7 @@ def getPredAndData(fuel_name, prop_name):
 
     data_file = f"{fuel_name}.csv"
     try:
-        data = pd.read_csv(os.path.join(FUELDATA_PROPS_DIR, data_file), skiprows=[1])
+        data = pd.read_csv(os.path.join(fl.get_fueldata_props_dir(), data_file), skiprows=[1])
         # Separate properties and associated temperatures from data
         T_data = data.Temperature[data[prop_name].notna()]
         prop_data = data[prop_name].dropna()

From 5ff75aab118e0f80f85293db827e56bd4a5a9a69 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 11:23:32 -0600
Subject: [PATCH 02/48] Better docs building

---
 README.md                                     | 39 ++++++------
 docs/conf.py                                  |  3 +-
 docs/fuelprops.rst                            | 32 +++++-----
 docs/sourcecode.rst                           |  2 +-
 docs/tutorials-basic.rst                      | 22 ++++---
 ...erge.rst => tutorials-export-converge.rst} |  2 +-
 ...ort4pele.rst => tutorials-export-pele.rst} | 22 ++++---
 docs/tutorials.rst                            |  4 +-
 fuellib/build_docs.py                         | 60 +++++++++++++++++++
 fuellib/clean_docs.py                         | 50 ++++++++++++++++
 fuellib/exporters/converge.py                 |  2 +-
 fuellib/exporters/pele.py                     |  8 +--
 fuellib/format_code.py                        | 38 ++++++++++++
 pyproject.toml                                |  4 ++
 14 files changed, 220 insertions(+), 68 deletions(-)
 rename docs/{tutorials-export4converge.rst => tutorials-export-converge.rst} (96%)
 rename docs/{tutorials-export4pele.rst => tutorials-export-pele.rst} (92%)
 create mode 100644 fuellib/build_docs.py
 create mode 100644 fuellib/clean_docs.py
 create mode 100644 fuellib/format_code.py

diff --git a/README.md b/README.md
index dd91be7..92dd29d 100644
--- a/README.md
+++ b/README.md
@@ -15,12 +15,6 @@ If you use FuelLib in your research, please cite the following software record:
 Montgomery, David, Appukuttan, Sreejith, Yellapantula, Shashank, Perry, Bruce, and Binswanger, Adam. FuelLib (Fuel Library) [SWR-25-26]. Computer Software. https://github.com/NatLabRockies/FuelLib. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO). 27 Feb. 2025. Web. doi:10.11578/dc.20250317.1.
 ~~~
 
-## Python Environment
-The following conda environment is required to run this code:
-~~~
-conda create --name fuellib-env matplotlib pandas scipy black=26.3.1
-~~~
-
 ## Installation
 
 1. **Clone the repository:**
@@ -31,16 +25,23 @@ conda create --name fuellib-env matplotlib pandas scipy black=26.3.1
 
 2. **Create and activate the conda environment:**
    ~~~
-   conda create --name fuellib-env matplotlib pandas scipy black=26.3.1
+   conda create --name fuellib-env python numpy pandas scipy matplotlib
    conda activate fuellib-env
    ~~~
 
-3. **Install FuelLib in development mode:**
+3. **Install FuelLib:**
+
+   **Option A: Basic installation**:
    ~~~
    pip install -e .
    ~~~
 
-This will install FuelLib and make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available in your environment.
+   **Option B: Full development installation** (includes documentation, testing, and formatting tools):
+   ~~~
+   pip install -e ".[dev]"
+   ~~~
+
+This will install FuelLib and make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available in your environment. If you installed with `[dev]`, you can also use `fl-build-docs` and `fl-clean-docs` to manage documentation, and `fl-format` to format code.
 
 ## Running the Code
 This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
@@ -64,23 +65,25 @@ New contributions are always welcome.  If you have an idea for a new feature fol
 1. Fork the main repository
 2. Create a `newFeature` branch that contains your changes
 3. Update the sphinx documentation in `newFeature`
-4. Format the source code files using the [Black code formatter](https://github.com/psf/black) by running the following command:
-   (CI currently uses Black version `26.3.1`; use the same version locally.)
+4. Format the source code files using the provided CLI command:
    ~~~
-   find . -name "*.py" -print0 | xargs -0 black
+   fl-format
    ~~~
+   (Requires installing with `pip install -e ".[dev]"`. Uses Black version `26.3.1`.)
 5. Open a Pull Request (PR) from `newFeature` on your fork to branch `main` FuelLib repository.
 
 ## Sphinx Documentation
-This repository uses [Sphinx](https://www.sphinx-doc.org/en/master/usage/quickstart.html) to generate documentation.  This requires the following Conda environment:
+This repository uses [Sphinx](https://www.sphinx-doc.org/en/master/usage/quickstart.html) to generate documentation.
+
+To build the documentation, first install FuelLib with development support:
 ~~~
-conda create --name sphinx-env sphinx sphinx_rtd_theme sphinxcontrib-bibtex pandas scipy
+pip install -e ".[dev]"
 ~~~
 
-To view the documentation locally, build the html using the following: 
+Then use the provided CLI command:
 ~~~
-cd FuelLib/docs/
-sphinx-build -M html . _build/
+fl-build-docs
 ~~~
-You should now be able to view the html by opening `FuelLib/docs/_build/html/index.html` in a web browser. 
+
+The HTML documentation will be generated in `docs/_build/html/`. Open `docs/_build/html/index.html` in your web browser to view it. 
 
diff --git a/docs/conf.py b/docs/conf.py
index f7c8888..f8d8fc1 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -5,7 +5,8 @@
 import os
 import sys
 
-sys.path.insert(0, os.path.abspath("../source"))
+# Add parent directory to path so we can import fuellib
+sys.path.insert(0, os.path.abspath(".."))
 
 
 # -- Project information -----------------------------------------------------
diff --git a/docs/fuelprops.rst b/docs/fuelprops.rst
index 784395a..a099184 100644
--- a/docs/fuelprops.rst
+++ b/docs/fuelprops.rst
@@ -138,7 +138,7 @@ provided :math:`T` in K unless noted otherwise.
 Kinematic viscosity
 ^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.viscosity_kinematic
+.. automethod:: fuellib.fuel.viscosity_kinematic
    :noindex:
 
 The kinematic viscosity of the *i-th* compound of the fuel, 
@@ -159,7 +159,7 @@ Liquids\ :footcite:p:`viswanath_viscosity_2007`) provided :math:`T` in :math:`^{
 Latent heat of vaporization
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.latent_heat_vaporization
+.. automethod:: fuellib.fuel.latent_heat_vaporization
    :noindex:
 
 The latent heat of vaporization for each compound at standard pressure and 
@@ -178,7 +178,7 @@ temperature\ :footcite:p:`govindaraju_group_2016`:
 Liquid molar volume
 ^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.molar_liquid_vol
+.. automethod:: fuellib.fuel.molar_liquid_vol
    :noindex:
 
 The liquid molar volume is calculated at a specific temperature :math:`T` using 
@@ -203,7 +203,7 @@ where
 Density
 ^^^^^^^
 
-.. automethod:: FuelLib.fuel.density
+.. automethod:: fuellib.fuel.density
    :noindex:
 
 The density of the *i-th* compound is given by
@@ -215,7 +215,7 @@ The density of the *i-th* compound is given by
 Liquid specific heat capacity
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.Cl
+.. automethod:: fuellib.fuel.Cl
    :noindex:
 
 The liquid specific heat capacity for each compound at standard pressure temperature is calculated from the specific heat capacity as:
@@ -228,7 +228,7 @@ The liquid specific heat capacity for each compound at standard pressure tempera
 Saturated vapor pressure
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.psat
+.. automethod:: fuellib.fuel.psat
    :noindex:
 
 The saturated vapor pressure for each compound is calculated as a function of 
@@ -260,7 +260,7 @@ The Ambrose-Walton\ :footcite:p:`ambrose_vapour_1989` correlation sets:
 
 with :math:`\tau_i = 1 - T_{r,i}`.
 
-.. automethod:: FuelLib.fuel.psat_antoine_coeffs
+.. automethod:: fuellib.fuel.psat_antoine_coeffs
    :noindex:
 
 Users also have the option to return the coefficients from an Antoine fit based on 
@@ -279,7 +279,7 @@ for additional information.
 Surface tension
 ^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.surface_tension
+.. automethod:: fuellib.fuel.surface_tension
    :noindex:
 
 Surface tension for each compound is approximated using the relation:
@@ -302,7 +302,7 @@ or by Curl and Pitzer\ :footcite:p:`poling_properties_2001` \ :footcite:p:`curl_
 Thermal conductivity
 ^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.thermal_conductivity
+.. automethod:: fuellib.fuel.thermal_conductivity
    :noindex:
 
 Thermal conductivity for each compound is computed according to the method of 
@@ -389,7 +389,7 @@ are used throughout this section.
 Conventional mixing rules
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. autofunction:: FuelLib.mixing_rule
+.. autofunction:: fuellib.mixing_rule
    :noindex:
 
 While many of the mixture properties in FuelLib have a unique mixing rule,
@@ -415,7 +415,7 @@ where :math:`Q_i` is the property of the *i-th* compound of the multicomponent m
 Mixture density
 ^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.mixture_density
+.. automethod:: fuellib.fuel.mixture_density
    :noindex:
 
 The mixture's density is calculated as:
@@ -428,7 +428,7 @@ The mixture's density is calculated as:
 Mixture kinematic viscosity
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.mixture_kinematic_viscosity
+.. automethod:: fuellib.fuel.mixture_kinematic_viscosity
    :noindex:
 
 The kinematic viscosity of the mixture is computed using the Kendall-Monroe\ :footcite:p:`kendall_viscosity_1917` 
@@ -453,7 +453,7 @@ The Arrhenius rule is:
 Mixture vapor pressure
 ^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.mixture_vapor_pressure
+.. automethod:: fuellib.fuel.mixture_vapor_pressure
    :noindex:
 
 The vapor pressure of the mixture is calculated according to Raoult's law:
@@ -462,7 +462,7 @@ The vapor pressure of the mixture is calculated according to Raoult's law:
 
    p_{v} = \sum_{i = 1}^{N_c} X_i \, p_{\textit{sat},i}.
 
-.. automethod:: FuelLib.fuel.mixture_vapor_pressure_antoine_coeffs
+.. automethod:: fuellib.fuel.mixture_vapor_pressure_antoine_coeffs
    :noindex:
 
 Users also have the option to return the coefficients from an Antoine fit based on 
@@ -481,7 +481,7 @@ for additional information.
 Mixture surface tension
 ^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.mixture_surface_tension
+.. automethod:: fuellib.fuel.mixture_surface_tension
    :noindex:
 
 The surface tension of the mixture is calculated using the :ref:`conventional-mixing-rules`
@@ -494,7 +494,7 @@ Hugill and van Welsenes\ :footcite:p:`hugill_surface_1986`:
 Mixture thermal conductivity
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: FuelLib.fuel.mixture_thermal_conductivity
+.. automethod:: fuellib.fuel.mixture_thermal_conductivity
    :noindex:
 
 The thermal conductivity of the mixture is calculated using the power law method of 
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index 53ebce1..bf92b45 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -55,4 +55,4 @@ Click on links below for the full auto-documentation of the API.
 .. autosummary::
     :toctree: generated
 
-    FuelLib
\ No newline at end of file
+    fuellib
\ No newline at end of file
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index dfb2bcb..97f167b 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -11,15 +11,20 @@ Download and Setup
 Clone the FuelLib repository from GitHub: ::
 
     git clone https://github.com/NatLabRockies/FuelLib.git
+    cd FuelLib
 
-Create and activate a Conda environment, install the required dependencies: ::
+Create and activate a Conda environment with the required dependencies: ::
 
-    conda create --name fuellib-env matplotlib pandas scipy
+    conda create --name fuellib-env python numpy pandas scipy matplotlib
     conda activate fuellib-env
 
-Change to the FuelLib/tutorials directory: ::
+Install FuelLib: ::
 
-    cd FuelLib/tutorials
+    pip install -e .
+
+Change to the tutorials directory: ::
+
+    cd tutorials
 
 Required Input Files and Decomposing Fuel Components
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -75,14 +80,7 @@ as ``basic.py``. To begin, we will import the necessary modules and create a ``f
 
 .. code-block:: python
 
-    import os
-    import sys
-
-    # Add the FuelLib directory to the Python path
-    FUELLIB_DIR = os.path.dirname(os.path.dirname(__file__))
-    sys.path.append(FUELLIB_DIR)
-    import paths
-    import FuelLib as fl
+    import fuellib as fl
 
     # Create a fuel object for the fuel "heptane-decane"
     fuel = fl.fuel("heptane-decane")
diff --git a/docs/tutorials-export4converge.rst b/docs/tutorials-export-converge.rst
similarity index 96%
rename from docs/tutorials-export4converge.rst
rename to docs/tutorials-export-converge.rst
index 3b97c72..997f1bf 100644
--- a/docs/tutorials-export4converge.rst
+++ b/docs/tutorials-export-converge.rst
@@ -50,7 +50,7 @@ Additional Options
 
 There are several additional options that can be specified when running the ``fl-export-converge`` command:
 
-- ``-D, --fuel_data_dir PATH``: Directory containing the fuel data files. Default: ``FuelLib/fuelData``.
+- ``-dir, --fuel_data_dir PATH``: Directory containing the fuel data files. Default: ``FuelLib/fuelData``.
 - ``-u, --units {mks,cgs}``: Units for the properties. Default: ``mks``.
 - ``-t, --temp_min K``: Minimum temperature for property calculations. Default: ``0``.
 - ``-T, --temp_max K``: Maximum temperature for property calculations. Default: ``1000``.
diff --git a/docs/tutorials-export4pele.rst b/docs/tutorials-export-pele.rst
similarity index 92%
rename from docs/tutorials-export4pele.rst
rename to docs/tutorials-export-pele.rst
index 31d0105..e619a77 100644
--- a/docs/tutorials-export4pele.rst
+++ b/docs/tutorials-export-pele.rst
@@ -41,7 +41,7 @@ for each compound in the fuel:
 - Optionally, Antoine coefficients for vapor pressure
 
 
-The export script, ``Export4Pele.py``, generates an input file containing 
+The ``fl-export-pele`` command generates an input file containing 
 the necessary properties for each compound in the fuel. The following sections 
 walk through the process and the available options for exporting properties from FuelLib 
 to Pele.
@@ -120,14 +120,14 @@ Additional Options
 
 There are many additional options that can be specified when running the ``fl-export-pele`` command:
 
-- ``-c, --fuel_decomp_name NAME``: Name of the decomposition file (optional). If not provided, defaults to fuel name.
-- ``-D, --fuel_data_dir PATH``: Directory containing the fuel data files. Default: ``FuelLib/fuelData``.
+- ``-decomp, --fuel_decomp_name NAME``: Name of the decomposition file (optional). If not provided, defaults to fuel name.
+- ``-dir, --fuel_data_dir PATH``: Directory containing the fuel data files. Default: ``FuelLib/fuelData``.
 - ``-u, --units {mks,cgs}``: Units for the properties. Default: ``mks`` (use ``cgs`` for PeleC).
-- ``-d, --dep_fuel_names NAME [NAME ...]``: Gas-phase species that liquid fuel deposits to. Default: fuel compound names.
+- ``-dep, --dep_fuel_names NAME [NAME ...]``: Gas-phase species that liquid fuel deposits to. Default: fuel compound names.
 - ``-pp, --use_pp_keys {true,false}``: Use PelePhysics keys for each compound. Default: ``true``.
 - ``-o, --export_dir PATH``: Directory to export the file. Default: ``./exportData``.
 - ``-m, --export_mix {true,false}``: Export fuel as a single mixture species. Default: ``false``.
-- ``-n, --export_mix_name NAME``: Name of the mixture species if ``-m`` is set to true. Default: fuel name.
+- ``-mn, --export_mix_name NAME``: Name of the mixture species if ``-m`` is set to true. Default: fuel name.
 - ``-l, --liq_prop_model {gcm,mp}``: Liquid property model to use. Default: ``gcm``.
 - ``-psat, --psat_antoine {true,false}``: Use Antoine coefficients for vapor pressure in MP model. Default: ``true``.
 
@@ -136,7 +136,7 @@ Liquid Species Deposit to Single Gas-Phase Species
 
 To specify all liquid fuel species deposit to a single gas-phase species, run: ::
 
-    fl-export-pele -f heptane-decane -d SINGLE_GAS
+    fl-export-pele -f heptane-decane -dep SINGLE_GAS
 
 Or with long options: ::
 
@@ -206,10 +206,9 @@ where the liquid fuel is modeled as a single component that deposits to the HyCh
 Exporting Properties for the MP Model in Pele
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-Users can export properties for the MP model in Pele by specifying ``--liq_prop_model mp`` when running the export script: ::
+Users can export properties for the MP model in Pele by specifying ``--liq_prop_model mp`` when running the export command: ::
     
-    cd FuelLib/source
-    python Export4Pele.py --fuel_name heptane-decane --liq_prop_model mp
+    fl-export-pele --fuel_name heptane-decane --liq_prop_model mp
 
 This generates the following input file, ``FuelLib/exportData/sprayPropsMP_heptane-decane.inp``, for use in a PeleLMeX simulation: ::
     
@@ -243,10 +242,9 @@ This generates the following input file, ``FuelLib/exportData/sprayPropsMP_hepta
     particles.NC10H22_rho = 726.195341 # kg/m^3
     particles.NC10H22_psat = 4.380101435197679 1702.1569216938776 -60.0774808903445 100000.0 # Pa
 
-Users can choose to not use Antoine coefficients for vapor pressure in the MP model by specifying ``--psat_antoine False`` when running the export script: ::
+Users can choose to not use Antoine coefficients for vapor pressure in the MP model by specifying ``--psat_antoine False`` when running the export command: ::
     
-    cd FuelLib/source
-    python Export4Pele.py --fuel_name heptane-decane --liq_prop_model mp --psat_antoine False
+    fl-export-pele --fuel_name heptane-decane --liq_prop_model mp --psat_antoine False
 
 This generates a similar input file as above, but without the Antoine coefficients for vapor pressure.
 
diff --git a/docs/tutorials.rst b/docs/tutorials.rst
index ea64f53..99c47f3 100644
--- a/docs/tutorials.rst
+++ b/docs/tutorials.rst
@@ -7,8 +7,8 @@ This section provides tutorials on how to use the FuelLib library.
    :maxdepth: 4
 
    tutorials-basic
-   tutorials-export4pele
-   tutorials-export4converge
+   tutorials-export-pele
+   tutorials-export-converge
 
 
 
diff --git a/fuellib/build_docs.py b/fuellib/build_docs.py
new file mode 100644
index 0000000..d47cae7
--- /dev/null
+++ b/fuellib/build_docs.py
@@ -0,0 +1,60 @@
+"""
+Build Sphinx documentation for FuelLib.
+
+This script builds the HTML documentation using Sphinx, handling the proper
+setup of paths and environment variables needed for autodoc to work correctly.
+"""
+
+import os
+import sys
+import subprocess
+
+
+def main():
+    """
+    Build the FuelLib documentation.
+    
+    Changes to the docs directory and runs sphinx-build to generate HTML documentation.
+    """
+    # Get the directory of this script (fuellib package)
+    fuellib_dir = os.path.dirname(os.path.abspath(__file__))
+    
+    # Get the project root (one level up from fuellib package)
+    project_root = os.path.dirname(fuellib_dir)
+    
+    # Docs directory
+    docs_dir = os.path.join(project_root, "docs")
+    
+    # Ensure fuellib is in the Python path for autodoc
+    if fuellib_dir not in sys.path:
+        sys.path.insert(0, os.path.dirname(fuellib_dir))
+    
+    # Build command
+    build_cmd = [
+        "sphinx-build",
+        "-M", "html",
+        docs_dir,
+        os.path.join(docs_dir, "_build"),
+    ]
+    
+    print(f"Building documentation from {docs_dir}")
+    print(f"Command: {' '.join(build_cmd)}")
+    print()
+    
+    # Run sphinx-build
+    result = subprocess.run(build_cmd)
+    
+    if result.returncode == 0:
+        print()
+        print("=" * 80)
+        print("Documentation built successfully!")
+        print(f"View the documentation at: {os.path.join(docs_dir, '_build', 'html', 'index.html')}")
+        print("=" * 80)
+    else:
+        print()
+        print("Documentation build failed. Please check the errors above.")
+        sys.exit(result.returncode)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/fuellib/clean_docs.py b/fuellib/clean_docs.py
new file mode 100644
index 0000000..96d2556
--- /dev/null
+++ b/fuellib/clean_docs.py
@@ -0,0 +1,50 @@
+"""Remove Sphinx documentation build artifacts."""
+
+import os
+import shutil
+import sys
+
+
+def main():
+    """
+    Remove the documentation build directory and generated files.
+    
+    Cleans up the Sphinx build output in docs/_build/ and 
+    generated documentation in docs/generated/
+    """
+    # Get the directory of this script (fuellib package)
+    fuellib_dir = os.path.dirname(os.path.abspath(__file__))
+    
+    # Get the project root (one level up from fuellib package)
+    project_root = os.path.dirname(fuellib_dir)
+    
+    # Docs directory
+    docs_dir = os.path.join(project_root, "docs")
+    build_dir = os.path.join(docs_dir, "_build")
+    generated_dir = os.path.join(docs_dir, "generated")
+    
+    # Remove build directory
+    if os.path.exists(build_dir):
+        try:
+            shutil.rmtree(build_dir)
+            print(f"Removed documentation build directory: {build_dir}")
+        except Exception as e:
+            print(f"Error removing build directory: {e}", file=sys.stderr)
+            sys.exit(1)
+    else:
+        print(f"Build directory does not exist: {build_dir}")
+    
+    # Remove generated directory
+    if os.path.exists(generated_dir):
+        try:
+            shutil.rmtree(generated_dir)
+            print(f"Removed generated documentation directory: {generated_dir}")
+        except Exception as e:
+            print(f"Error removing generated directory: {e}", file=sys.stderr)
+            sys.exit(1)
+    else:
+        print(f"Generated directory does not exist: {generated_dir}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/fuellib/exporters/converge.py b/fuellib/exporters/converge.py
index bc24a70..4df94cb 100644
--- a/fuellib/exporters/converge.py
+++ b/fuellib/exporters/converge.py
@@ -553,7 +553,7 @@ def main():
 
     # Optional argument for fuel data directory
     parser.add_argument(
-        "-D",
+        "-dir",
         "--fuel_data_dir",
         default=FUELDATA_DIR,
         metavar="PATH",
diff --git a/fuellib/exporters/pele.py b/fuellib/exporters/pele.py
index c209665..fdea89e 100644
--- a/fuellib/exporters/pele.py
+++ b/fuellib/exporters/pele.py
@@ -568,7 +568,7 @@ def main():
 
     # Optional argument for fuel data directory
     parser.add_argument(
-        "-D",
+        "-dir",
         "--fuel_data_dir",
         default=FUELDATA_DIR,
         metavar="PATH",
@@ -577,7 +577,7 @@ def main():
 
     # Optional argument for decomposition file name
     parser.add_argument(
-        "-c",
+        "-decomp",
         "--fuel_decomp_name",
         default=None,
         metavar="NAME",
@@ -596,7 +596,7 @@ def main():
 
     # Optional argument for deposition fuel names
     parser.add_argument(
-        "-d",
+        "-dep",
         "--dep_fuel_names",
         nargs="+",  # Accepts one or more values
         default=None,
@@ -635,7 +635,7 @@ def main():
 
     # Optional argument for mixture name if different than fuel_name
     parser.add_argument(
-        "-n",
+        "-mn",
         "--export_mix_name",
         default=None,
         metavar="NAME",
diff --git a/fuellib/format_code.py b/fuellib/format_code.py
new file mode 100644
index 0000000..5ce91c0
--- /dev/null
+++ b/fuellib/format_code.py
@@ -0,0 +1,38 @@
+"""Format all Python source code using Black."""
+
+import subprocess
+import sys
+
+
+def main():
+    """Run Black formatter on all Python files in the repository."""
+    try:
+        result = subprocess.run(
+            ['find', '.', '-name', '*.py', '-print0'],
+            capture_output=True,
+            text=False,
+            check=True,
+        )
+        
+        # Use xargs to pass files to black
+        process = subprocess.Popen(
+            ['xargs', '-0', 'black'],
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+        stdout, stderr = process.communicate(input=result.stdout)
+        
+        if stdout:
+            print(stdout.decode())
+        if stderr:
+            print(stderr.decode(), file=sys.stderr)
+        
+        sys.exit(process.returncode)
+    except Exception as e:
+        print(f"Error running black formatter: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/pyproject.toml b/pyproject.toml
index 6647d03..98018ff 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,6 +38,7 @@ dependencies = [
 dev = [
     "black>=26.3.1",
     "pytest>=6.0",
+    "matplotlib>=3.0",
     "sphinx>=4.0",
     "sphinx-rtd-theme>=1.0",
     "sphinxcontrib-bibtex>=2.0",
@@ -46,6 +47,9 @@ dev = [
 [project.scripts]
 fl-export-converge = "fuellib.exporters.converge:main"
 fl-export-pele = "fuellib.exporters.pele:main"
+fl-build-docs = "fuellib.build_docs:main"
+fl-clean-docs = "fuellib.clean_docs:main"
+fl-format = "fuellib.format_code:main"
 
 [project.urls]
 Repository = "https://github.com/NatLabRockies/FuelLib"

From 285efe5501b67372d4c5e1fcc2ba5dedaacb3f5d Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 11:26:01 -0600
Subject: [PATCH 03/48] Better formatting via fl-format

---
 fuellib/__init__.py            |  3 ++-
 fuellib/build_docs.py          | 23 +++++++++++++----------
 fuellib/clean_docs.py          | 12 ++++++------
 fuellib/format_code.py         | 17 ++++++++++++-----
 tutorials/hefaBlends.py        |  4 +++-
 tutorials/mixtureProperties.py |  4 +++-
 6 files changed, 39 insertions(+), 24 deletions(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 2367631..150826f 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -1,7 +1,7 @@
 """
 FuelLib: Fuel Library for Group Contribution Method calculations.
 
-FuelLib utilizes the Group Contribution Method (GCM) as proposed by Constantinou 
+FuelLib utilizes the Group Contribution Method (GCM) as proposed by Constantinou
 and Gani (1994, 1995) to calculate thermodynamic and mixture properties of fuels.
 """
 
@@ -1032,6 +1032,7 @@ def mixture_thermal_conductivity(self, Yi, T):
 # Utility functions
 # -------
 
+
 def C2K(T):
     """
     Convert temperature from Celsius to Kelvin.
diff --git a/fuellib/build_docs.py b/fuellib/build_docs.py
index d47cae7..7d0eff9 100644
--- a/fuellib/build_docs.py
+++ b/fuellib/build_docs.py
@@ -13,42 +13,45 @@
 def main():
     """
     Build the FuelLib documentation.
-    
+
     Changes to the docs directory and runs sphinx-build to generate HTML documentation.
     """
     # Get the directory of this script (fuellib package)
     fuellib_dir = os.path.dirname(os.path.abspath(__file__))
-    
+
     # Get the project root (one level up from fuellib package)
     project_root = os.path.dirname(fuellib_dir)
-    
+
     # Docs directory
     docs_dir = os.path.join(project_root, "docs")
-    
+
     # Ensure fuellib is in the Python path for autodoc
     if fuellib_dir not in sys.path:
         sys.path.insert(0, os.path.dirname(fuellib_dir))
-    
+
     # Build command
     build_cmd = [
         "sphinx-build",
-        "-M", "html",
+        "-M",
+        "html",
         docs_dir,
         os.path.join(docs_dir, "_build"),
     ]
-    
+
     print(f"Building documentation from {docs_dir}")
     print(f"Command: {' '.join(build_cmd)}")
     print()
-    
+
     # Run sphinx-build
     result = subprocess.run(build_cmd)
-    
+
     if result.returncode == 0:
         print()
         print("=" * 80)
         print("Documentation built successfully!")
-        print(f"View the documentation at: {os.path.join(docs_dir, '_build', 'html', 'index.html')}")
+        print(
+            f"View the documentation at: {os.path.join(docs_dir, '_build', 'html', 'index.html')}"
+        )
         print("=" * 80)
     else:
         print()
diff --git a/fuellib/clean_docs.py b/fuellib/clean_docs.py
index 96d2556..ca0b453 100644
--- a/fuellib/clean_docs.py
+++ b/fuellib/clean_docs.py
@@ -8,21 +8,21 @@
 def main():
     """
     Remove the documentation build directory and generated files.
-    
-    Cleans up the Sphinx build output in docs/_build/ and 
+
+    Cleans up the Sphinx build output in docs/_build/ and
     generated documentation in docs/generated/
     """
     # Get the directory of this script (fuellib package)
     fuellib_dir = os.path.dirname(os.path.abspath(__file__))
-    
+
     # Get the project root (one level up from fuellib package)
     project_root = os.path.dirname(fuellib_dir)
-    
+
     # Docs directory
     docs_dir = os.path.join(project_root, "docs")
     build_dir = os.path.join(docs_dir, "_build")
     generated_dir = os.path.join(docs_dir, "generated")
-    
+
     # Remove build directory
     if os.path.exists(build_dir):
         try:
@@ -33,7 +33,7 @@ def main():
             sys.exit(1)
     else:
         print(f"Build directory does not exist: {build_dir}")
-    
+
     # Remove generated directory
     if os.path.exists(generated_dir):
         try:
diff --git a/fuellib/format_code.py b/fuellib/format_code.py
index 5ce91c0..7d846f1 100644
--- a/fuellib/format_code.py
+++ b/fuellib/format_code.py
@@ -1,33 +1,40 @@
 """Format all Python source code using Black."""
 
+import os
 import subprocess
 import sys
 
 
 def main():
     """Run Black formatter on all Python files in the repository."""
+    # Get the directory of this script (fuellib package)
+    fuellib_dir = os.path.dirname(os.path.abspath(__file__))
+
+    # Get the project root (one level up from fuellib package)
+    project_root = os.path.dirname(fuellib_dir)
+
     try:
         result = subprocess.run(
-            ['find', '.', '-name', '*.py', '-print0'],
+            ["find", project_root, "-name", "*.py", "-print0"],
             capture_output=True,
             text=False,
             check=True,
         )
-        
+
         # Use xargs to pass files to black
         process = subprocess.Popen(
-            ['xargs', '-0', 'black'],
+            ["xargs", "-0", "black"],
             stdin=subprocess.PIPE,
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,
         )
         stdout, stderr = process.communicate(input=result.stdout)
-        
+
         if stdout:
             print(stdout.decode())
         if stderr:
             print(stderr.decode(), file=sys.stderr)
-        
+
         sys.exit(process.returncode)
     except Exception as e:
         print(f"Error running black formatter: {e}", file=sys.stderr)
diff --git a/tutorials/hefaBlends.py b/tutorials/hefaBlends.py
index 1b89fe8..97a06af 100644
--- a/tutorials/hefaBlends.py
+++ b/tutorials/hefaBlends.py
@@ -60,7 +60,9 @@ def getPredAndData(fuel_name, prop_name, blend):
     jetA = fl.fuel(conv_fuel_name)
 
     data_file = "hefa-jet-a-blends.csv"
-    data = pd.read_csv(os.path.join(fl.get_fueldata_props_dir(), data_file), skiprows=[1])
+    data = pd.read_csv(
+        os.path.join(fl.get_fueldata_props_dir(), data_file), skiprows=[1]
+    )
     col = f"{prop_name}_{fuel_name[5:].upper()}"
     prop_data = data[col]
     blend_data = data["HEFA_concentration"]
diff --git a/tutorials/mixtureProperties.py b/tutorials/mixtureProperties.py
index 6117341..72fc367 100644
--- a/tutorials/mixtureProperties.py
+++ b/tutorials/mixtureProperties.py
@@ -84,7 +84,9 @@ def getPredAndData(fuel_name, prop_name):
 
     data_file = f"{fuel_name}.csv"
     try:
-        data = pd.read_csv(os.path.join(fl.get_fueldata_props_dir(), data_file), skiprows=[1])
+        data = pd.read_csv(
+            os.path.join(fl.get_fueldata_props_dir(), data_file), skiprows=[1]
+        )
         # Separate properties and associated temperatures from data
         T_data = data.Temperature[data[prop_name].notna()]
         prop_data = data[prop_name].dropna()

From 16ed541bc7489cace5ca0256b32d9638f7cca686 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 11:30:16 -0600
Subject: [PATCH 04/48] Update CI

---
 .github/workflows/ci.yml            | 35 +++++++++++++++--------------
 .github/workflows/documentation.yml |  6 ++---
 2 files changed, 21 insertions(+), 20 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index ca9afd5..28e6c03 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -50,7 +50,7 @@ jobs:
           python-version: '3.11'
       - run: |
           python -m pip install --upgrade pip
-          pip install numpy pandas scipy
+          pip install -e .
       - run: python tests/test_accuracy.py
 
   API:
@@ -62,7 +62,7 @@ jobs:
           python-version: '3.11'
       - run: |
           python -m pip install --upgrade pip
-          pip install numpy pandas scipy
+          pip install -e .
       - run: python tests/test_api.py -v
 
   Source-Docstrings:
@@ -74,6 +74,7 @@ jobs:
           python-version: '3.11'
       - run: |
           python -m pip install --upgrade pip
+          pip install -e .
       - run: python tests/test_source_docstrings.py -v
   
   Exporting-Scripts:
@@ -85,19 +86,19 @@ jobs:
           python-version: '3.11'
       - run: |
           python -m pip install --upgrade pip
-          pip install numpy pandas scipy
-      - name: Export4Pele - individual component export
-        run: python source/Export4Pele.py --fuel_name posf10264
-      - name: Export4Pele - mixture export with GCM model
-        run: python source/Export4Pele.py --fuel_name posf10264 --export_mix True
-      - name: Export4Pele - mixture export with MP model
-        run: python source/Export4Pele.py --fuel_name posf10264 --export_mix True --liq_prop_model mp
-      - name: Export4Pele - mixture export with CGS units
-        run: python source/Export4Pele.py --fuel_name posf10264 --export_mix True --units cgs
-      - name: Export4Pele - single deposit species
-        run: python source/Export4Pele.py --fuel_name posf10264 --dep_fuel_names POSF10264
-      - name: Export4Converge - individual component export
-        run: python source/Export4Converge.py --fuel_name posf10264
-      - name: Export4Converge - mixture export
-        run: python source/Export4Converge.py --fuel_name posf10264 --export_mix 1 --temp_min 280 --temp_max 400 --temp_step 10
+          pip install -e .
+      - name: fl-export-pele - individual component export
+        run: fl-export-pele -f posf10264
+      - name: fl-export-pele - mixture export with GCM model
+        run: fl-export-pele -f posf10264 -m true
+      - name: fl-export-pele - mixture export with MP model
+        run: fl-export-pele -f posf10264 -m true -l mp
+      - name: fl-export-pele - mixture export with CGS units
+        run: fl-export-pele -f posf10264 -m true -u cgs
+      - name: fl-export-pele - single deposit species
+        run: fl-export-pele -f posf10264 -dep POSF10264
+      - name: fl-export-converge - individual component export
+        run: fl-export-converge -f posf10264
+      - name: fl-export-converge - mixture export
+        run: fl-export-converge -f posf10264 -m true -t 280 -T 400 -s 10
   
diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 382605a..ec72fa2 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -32,17 +32,17 @@ jobs:
 
       - name: Install dependencies
         run: |
-          pip install sphinx sphinx_rtd_theme myst_parser sphinxcontrib-bibtex pandas scipy
+          pip install -e ".[dev]"
 
       - name: Build docs
         run: |
-          sphinx-build -b html -W docs _build
+          fl-build-docs
 
       - name: Upload artifact (for PR preview or later steps)
         uses: actions/upload-artifact@v4
         with:
           name: site
-          path: _build
+          path: docs/_build/html
   
   Deploy-Docs:
     if: github.event_name == 'push'

From 1f3b7aaba4f32b6ba20cfb83162ad7e648761239 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 11:42:44 -0600
Subject: [PATCH 05/48] Specify molar vs. mass Cp

---
 docs/fuelprops.rst                 |  8 ++++----
 docs/tutorials-export-converge.rst |  2 +-
 docs/tutorials-export-pele.rst     |  2 +-
 fuellib/__init__.py                | 10 +++++-----
 4 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/fuelprops.rst b/docs/fuelprops.rst
index a099184..f887a7d 100644
--- a/docs/fuelprops.rst
+++ b/docs/fuelprops.rst
@@ -46,7 +46,7 @@ Table of GCM properties
    :math:`\Delta H_{v,\textit{stp},i}`   J/mol                  :math:`h_{v1k}`, :math:`h_{v2j}`             kJ/mol                Enthalpy of vaporization at 298 K\ :footcite:p:`constantinou_new_1994`.
    :math:`\omega_i`                      1                      :math:`\omega_{1k}`, :math:`\omega_{2j}`     1                     Acentric factor\ :footcite:p:`constantinou_estimation_1995`.
    :math:`V_{m,\textit{stp},i}`          m\ :sup:`3`\ /mol      :math:`v_{m1k}`, :math:`v_{m2j}`             m\ :sup:`3`\ /kmol    Liquid molar volume at 298 K\ :footcite:p:`constantinou_estimation_1995`. 
-   :math:`C_{p,i}`                       J/mol/K                :math:`C_{pA1_k}`, :math:`C_{pA2_k}`,...     J/mol/K               Specific heat capacity\ :footcite:p:`nielsen_molecular_1998` \ :footcite:p:`poling_properties_2001`.
+   :math:`C_{p,i}`                       J/mol/K                :math:`C_{pA1_k}`, :math:`C_{pA2_k}`,...     J/mol/K               Molar specific heat capacity\ :footcite:p:`nielsen_molecular_1998` \ :footcite:p:`poling_properties_2001`.
    ====================================  =====================  ===========================================  ====================  ===========================================================
 
 .. _eq-GCM-properties:
@@ -113,7 +113,7 @@ provided :math:`T` in K unless noted otherwise.
    :math:`L_{v,i}`                J/kg                   Temperature-adjusted latent heat of vaporization at 298 K\ :footcite:p:`govindaraju_group_2016`.
    :math:`V_{m,i}`                m\ :sup:`3`\ /mol      Temperature-adjusted liquid molar volume\ :footcite:p:`rackett_equation_1970` \ :footcite:p:`yamada_saturated_1973` \ :footcite:p:`govindaraju_group_2016`.
    :math:`\rho_i`                 kg/m\ :sup:`3`         Density
-   :math:`C_{\ell,i}`             J/kg/K                 Liquid specific heat capacity\ :footcite:p:`govindaraju_group_2016`. 
+   :math:`C_{\ell,i}`             J/kg/K                 Mass specific heat capacity. 
    :math:`p_{sat,i}`              Pa                     Saturated vapor pressure\ :footcite:p:`lee_generalized_1975` \ :footcite:p:`ambrose_vapour_1989`.
    :math:`\sigma_i`               N/m                    Surface tension\ :footcite:p:`brock_surface_1955`.
    :math:`\lambda_i`              W/m/K                  Thermal conductivity\ :footcite:p:`poling_properties_2001`.
@@ -212,13 +212,13 @@ The density of the *i-th* compound is given by
    \rho_i = \frac{M_{w,i}}{V_{m,i}}.
 
 
-Liquid specific heat capacity
+Mass specific heat capacity of the liquid
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: fuellib.fuel.Cl
    :noindex:
 
-The liquid specific heat capacity for each compound at standard pressure temperature is calculated from the specific heat capacity as:
+The mass specific heat capacity for each compound at standard pressure temperature is calculated from the molar specific heat capacity as:
 
 .. math::
    C_{\ell,i} = \dfrac{C_{p,i}}{M_{w,i}} 
diff --git a/docs/tutorials-export-converge.rst b/docs/tutorials-export-converge.rst
index 997f1bf..4ecd11a 100644
--- a/docs/tutorials-export-converge.rst
+++ b/docs/tutorials-export-converge.rst
@@ -18,7 +18,7 @@ The properties include:
 - Latent heat of vaporization
 - Vapor pressure
 - Density
-- Specific heat
+- Mass specific heat
 - Thermal conductivity
 
 .. note::
diff --git a/docs/tutorials-export-pele.rst b/docs/tutorials-export-pele.rst
index e619a77..fec9b31 100644
--- a/docs/tutorials-export-pele.rst
+++ b/docs/tutorials-export-pele.rst
@@ -27,7 +27,7 @@ the following for each compound in the fuel for the GCM:
 - Boiling point
 - Accentric factor
 - Molar volume
-- Specific heat coefficients
+- Mass specific heat coefficients
 - Latent heat of vaporization
 
 The MP model in PelePhysics requires properties at a specified reference temperature 
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 150826f..deab0ff 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -220,7 +220,7 @@ def get_row(property_name):
         self.Vm_stp = 0.01211 + np.matmul(self.Nij, Vmk)  # m^3/kmol
         self.Vm_stp *= 1e-3  # Convert to m^3/mol
 
-        # C_p,stp (specific heat at 298 K)
+        # C_p,stp (molar specific heat at 298 K)
         self.Cp_stp = np.matmul(self.Nij, cpak) - 19.7779  # J/mol/K
 
         # Temperature corrections for C_p
@@ -407,13 +407,13 @@ def viscosity_dynamic(self, T, comp_idx=None):
 
     def Cp(self, T, comp_idx=None):
         """
-        Compute specific heat capacity at a given temperature.
+        Compute molar specific heat capacity at a given temperature.
 
         :param T: Temperature in Kelvin.
         :type T: float
         :param comp_idx: Index of compound to calculate property for.
         :type comp_idx: int, optional
-        :return: Specific heat capacity in J/mol/K.
+        :return: Molar specific heat capacity in J/mol/K.
         :rtype: np.ndarray
         """
 
@@ -433,13 +433,13 @@ def Cp(self, T, comp_idx=None):
 
     def Cl(self, T, comp_idx=None):
         """
-        Compute liquid specific heat capacity in J/kg/K at a given temperature.
+        Compute liquid mass specific heat capacity in J/kg/K at a given temperature.
 
         :param T: Temperature in Kelvin.
         :type T: float
         :param comp_idx: Index of compound to calculate property for.
         :type comp_idx: int, optional
-        :return: Specific heat capacity in J/kg/K.
+        :return: Mass specific heat capacity in J/kg/K.
         :rtype: np.ndarray
         """
         if comp_idx is None:

From e0821b62c3e5d1da8d3a65b1ae803d517bc22ffe Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 11:44:24 -0600
Subject: [PATCH 06/48] Extend title in docs

---
 docs/fuelprops.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/fuelprops.rst b/docs/fuelprops.rst
index f887a7d..0972039 100644
--- a/docs/fuelprops.rst
+++ b/docs/fuelprops.rst
@@ -213,7 +213,7 @@ The density of the *i-th* compound is given by
 
 
 Mass specific heat capacity of the liquid
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: fuellib.fuel.Cl
    :noindex:

From a623baf26a5b5aef2c8eb626ddd3256f89b8f2e8 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 12:14:58 -0600
Subject: [PATCH 07/48] Remove old paths.py

---
 paths.py | 15 ---------------
 1 file changed, 15 deletions(-)
 delete mode 100644 paths.py

diff --git a/paths.py b/paths.py
deleted file mode 100644
index a3e68f9..0000000
--- a/paths.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-import sys
-
-FUELLIB_DIR = os.path.dirname(__file__)
-GCMTABLE_DIR = os.path.join(FUELLIB_DIR, "gcmTableData")
-SOURCE_DIR = os.path.join(FUELLIB_DIR, "source")
-FUELDATA_DIR = os.path.join(FUELLIB_DIR, "fuelData")
-FUELDATA_GC_DIR = os.path.join(FUELDATA_DIR, "gcData")
-FUELDATA_DECOMP_DIR = os.path.join(FUELDATA_DIR, "groupDecompositionData")
-FUELDATA_PROPS_DIR = os.path.join(FUELDATA_DIR, "propertiesData")
-TESTS_DIR = os.path.join(FUELLIB_DIR, "tests")
-TESTS_BASELINE_DIR = os.path.join(TESTS_DIR, "baselinePredictions")
-TUTORIALS_DIR = os.path.join(FUELLIB_DIR, "tutorials")
-
-sys.path.append(SOURCE_DIR)

From 358abbf69c09c5656bf3f111668269fc467dadf6 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 12:26:09 -0600
Subject: [PATCH 08/48] Update MW

---
 gcmTableData/gcmTable.csv | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gcmTableData/gcmTable.csv b/gcmTableData/gcmTable.csv
index 997d23d..fd1a89e 100644
--- a/gcmTableData/gcmTable.csv
+++ b/gcmTableData/gcmTable.csv
@@ -12,4 +12,4 @@ vmk,m^3/kmol,0.0261,0.0164,0.0071,-0.0038,0.0373,0.0269,0.027,0.0161,0.003,0.043
 CpAk,J/mol/K,35.1152,22.6346,8.9272,0.3456,49.2506,35.2248,37.6299,21.3528,10.2797,66.0574,16.3794,10.4283,42.8569,32.8206,19.9504,27.2107,39.7712,59.3032,0,40.7501,66.8423,0,51.5048,50.5604,39.5784,25.675,0,57.6861,44.1122,53.7012,44.6388,0,41.4064,30.1561,47.1311,84.7602,0,58.2837,46.5577,48.4648,36.5885,29.1848,60.8262,56.1685,78.6054,33.645,63.7851,51.1442,0,58.2445,29.1815,28.026,45.9768,26.7371,25.8094,30.1696,0,63.2024,44.3567,0,0,0,0,0,22.2082,0,0,0,0,0,0,0,0,57.767,45.0314,40.5275,80.301,0,0.583,0.3226,0.9668,-0.3082,-0.1201,8.5546,3.1721,-5.906,-3.9682,-3.2746,2.6142,-1.3913,0.263,6.5145,4.1707,0,0,3.7978,0,0,0,0,-15.7667,0,0,-6.4072,0,2.4484,-1.5252,0,0,0,0,0,0,0,-2.7407,0,-1.6978,0,-2.2923,-0.3162,0
 CpBk,J/mol/K,39.5923,45.0933,59.9786,74.0368,59.384,62.1924,62.1285,66.3947,65.5372,69.3936,32.7433,25.3634,65.6464,70.4153,81.8764,2.7609,35.5676,67.8149,0,19.699,102.4553,0,44.4133,38.9681,41.8177,24.7281,0,64.0768,77.2155,71.7948,68.5041,0,85.0996,81.6814,51.3326,177.2513,0,49.6388,48.2322,37.237,47.6004,52.3817,41.9908,46.9337,32.1318,23.2759,83.4744,94.2934,0,46.9958,-9.7846,-7.1651,20.6417,21.7676,-5.2241,26.9738,0,51.9366,44.5875,0,0,0,0,0,-2.8385,0,0,0,0,0,0,0,0,44.1238,55.1432,55.0141,132.7786,0,-1.2002,2.1309,-2.0762,1.8969,4.2846,-22.9771,-10.0834,-1.871,17.7889,32.167,4.4511,-1.5496,-2.3428,-17.5541,-3.1964,0,0,-7.3251,0,0,0,0,-0.1174,0,0,15.2583,0,-0.0765,-7.638,0,0,0,0,0,0,0,11.1033,0,1.0477,0,3.1142,2.3711,0
 CpCk,J/mol/K,-9.9232,-15.7033,-29.5143,-45.7878,-21.7908,-24.8156,-26.0637,-29.3703,-30.6057,-25.1081,-13.1692,-12.7283,-21.067,-28.9361,-40.2864,1.306,-15.5875,-20.9948,0,-5.436,-43.3306,0,-19.6155,-4.7799,-11.0837,4.2419,0,-21.048,-33.5086,-22.9685,-26.7106,0,-35.6318,-36.1441,-25.0276,-72.3213,0,-15.6291,-20.4868,-13.0635,-22.8148,-30.8526,-20.4091,-31.3325,-19.4033,-12.2406,-35.1171,-45.2029,0,-10.5106,3.4554,2.4332,-8.3297,-6.4481,1.4542,-13.3722,0,-28.6308,-23.282,0,0,0,0,0,1.2679,0,0,0,0,0,0,0,0,-9.5565,-18.7776,-31.719,-58.3241,0,-0.0584,-1.5728,0.3148,-1.6454,-2.0262,10.7278,4.9674,4.2945,-3.3639,-17.8246,-5.9808,2.5899,0.8975,10.6977,-1.1997,0,0,2.5312,0,0,0,0,6.1191,0,0,-8.3149,0,0.146,8.1795,0,0,0,0,0,0,0,-11.0878,0,0.2002,0,-1.4995,-1.4825,-0.0584
-MW,g/mol,15,14,13,12,27,26,26,25,24,39,13,12,27,26,25,17,29,43,42,41,59,58,45,31,30,29,49,30,29,30,29,28,29,28,28,78,77,40,45,49.5,48.5,47.5,84,119.5,118.5,47.5,60,59,58,47,35.5,80,25,24,59.5,31,71,69,50,31,44,102,67.5,85.5,0,44,58,57,72,0,70,61,60,47,46,45,83,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
+MW,g/mol,15.0345,14.0266,13.0186,12.0107,27.0452,26.0373,26.0373,25.0293,24.0214,39.0559,25.0293,24.0214,40.0639,39.0559,38.048,17.0073,42.0367,43.0446,42.0367,29.018,59.044,58.0361,45.0174,31.0339,30.026,29.018,49.0244,30.0492,29.0412,30.0492,29.0412,28.0333,29.0412,28.0333,41.0519,78.092,77.084,41.0519,45.0174,49.4796,48.4716,47.4637,83.9246,82.9167,118.3697,60.4823,60.0321,59.0241,70.0269,47.0945,126.9,79.904,25.0293,24.0214,59.4744,44.0277,71.0779,69.0059,50.0075,31.0091,44.0095,101.9151,67.47,85.4605,0,44.0327,58.0593,57.0513,72.0858,0,70.07,61.0599,60.052,47.0945,46.0866,45.0786,83.1266,82.1187,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

From 8d527fa3d43b11ef2767ca491aa3b6e55ebd59f8 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 14:02:33 -0600
Subject: [PATCH 09/48] Update installation with pip

---
 README.md                | 50 ++++++++++++++++++++++++----------------
 docs/index.rst           | 36 +++++++++++++++++++++++++++++
 docs/sourcecode.rst      |  2 --
 docs/tutorials-basic.rst | 12 ++++++++++
 4 files changed, 78 insertions(+), 22 deletions(-)

diff --git a/README.md b/README.md
index 92dd29d..fd3ae49 100644
--- a/README.md
+++ b/README.md
@@ -17,31 +17,41 @@ Montgomery, David, Appukuttan, Sreejith, Yellapantula, Shashank, Perry, Bruce, a
 
 ## Installation
 
-1. **Clone the repository:**
-   ~~~
-   git clone https://github.com/NatLabRockies/FuelLib.git
-   cd FuelLib
-   ~~~
+### Option 1: Install from PyPI (Recommended)
 
-2. **Create and activate the conda environment:**
-   ~~~
-   conda create --name fuellib-env python numpy pandas scipy matplotlib
-   conda activate fuellib-env
-   ~~~
+The easiest way to install FuelLib is via pip:
 
-3. **Install FuelLib:**
+```bash
+# Basic installation
+pip install fuellib
 
-   **Option A: Basic installation**:
-   ~~~
-   pip install -e .
-   ~~~
+# Or with development tools (docs, testing, formatting)
+pip install 'fuellib[dev]'
+```
 
-   **Option B: Full development installation** (includes documentation, testing, and formatting tools):
-   ~~~
-   pip install -e ".[dev]"
-   ~~~
+This will make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available. With the `[dev]` extra, you'll also have `fl-build-docs`, `fl-clean-docs`, and `fl-format` commands.
 
-This will install FuelLib and make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available in your environment. If you installed with `[dev]`, you can also use `fl-build-docs` and `fl-clean-docs` to manage documentation, and `fl-format` to format code.
+### Option 2: Development Installation (For Contributors)
+
+Clone the repository and install in editable mode:
+
+```bash
+git clone https://github.com/NatLabRockies/FuelLib.git
+cd FuelLib
+pip install -e .           # Basic installation
+# or
+pip install -e ".[dev]"    # Full development installation
+```
+
+### Optional: Create a Conda Environment
+
+To use a specific conda environment:
+
+```bash
+conda create --name fuellib-env python numpy pandas scipy matplotlib
+conda activate fuellib-env
+pip install 'fuellib[dev]'  # or pip install fuellib
+```
 
 ## Running the Code
 This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
diff --git a/docs/index.rst b/docs/index.rst
index 2280df7..25c76af 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -15,6 +15,42 @@ The source code is available at `github.com/NatLabRockies/FuelLib <https://githu
    :align: center
 
 
+Installation
+------------
+
+The easiest way to install FuelLib is via pip:
+
+.. code-block:: bash
+
+   # Basic installation
+   pip install fuellib
+
+   # Or with development tools (docs, testing, formatting)
+   pip install 'fuellib[dev]'
+
+For development or to install from source, see the `tutorials-basic <tutorials/tutorials-basic.html>`_ page for detailed installation instructions.
+
+After installation, the command-line exporters will be available:
+
+.. code-block:: bash
+
+   fl-export-pele -h          # Export for PelePhysics simulations
+   fl-export-converge -h      # Export for Converge simulations
+   fl-build-docs              # Build documentation (requires [dev])
+   fl-format                  # Format code with Black (requires [dev])
+
+**Package Requirements**
+
+FuelLib requires:
+
+- **Core dependencies:** numpy ≥1.19.0, pandas ≥1.0.0, scipy ≥1.5.0
+- **Optional dependencies** (``[dev]`` extra): 
+  - Documentation: sphinx ≥4.0, sphinx-rtd-theme ≥1.0, sphinxcontrib-bibtex ≥2.0
+  - Code formatting: black ≥26.3.1
+  - Testing: pytest ≥6.0
+  - Plotting: matplotlib ≥3.0
+
+
 Citing this work
 ----------------
 
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index bf92b45..c573201 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -37,8 +37,6 @@ FuelLib File Organization
     - ``hefaBlends.py``: example script that calculates properties of HEFA:Jet-A blends
     - ``mixtureProperties.py``: validation script that calculates properties of single component fuels and mixture properties of multicomponent fuels.
 
-- ``paths.py``: file that defines paths to various directories and files used in FuelLib
-
 Public API
 ----------
 
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index 97f167b..4c7bb00 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -8,6 +8,18 @@ provides a basic introduction to using FuelLib, including installation, required
 Download and Setup
 ^^^^^^^^^^^^^^^^^^
 
+**Option 1: Install from PyPI (Recommended)**
+
+Install FuelLib using pip: ::
+
+    pip install fuellib
+
+Or with development tools: ::
+
+    pip install 'fuellib[dev]'
+
+**Option 2: Development Installation (From Source)**
+
 Clone the FuelLib repository from GitHub: ::
 
     git clone https://github.com/NatLabRockies/FuelLib.git

From 4e90e1720f0b8983d282f37acbf1001be16d8afb Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 14:50:54 -0600
Subject: [PATCH 10/48] Update installation and docs

---
 .github/workflows/documentation.yml |  2 +-
 README.md                           | 28 ++++++-----
 docs/development.rst                | 73 +++++++++++++++++++++++++++++
 docs/index.rst                      | 66 +++++++++++---------------
 docs/tutorials-basic.rst            | 28 ++---------
 fuellib/build_docs.py               |  4 +-
 tests/test_source_docstrings.py     | 19 ++++++--
 7 files changed, 140 insertions(+), 80 deletions(-)
 create mode 100644 docs/development.rst

diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index ec72fa2..4492efb 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -32,7 +32,7 @@ jobs:
 
       - name: Install dependencies
         run: |
-          pip install -e ".[dev]"
+          pip install -e '.[dev]'
 
       - name: Build docs
         run: |
diff --git a/README.md b/README.md
index fd3ae49..f32bb22 100644
--- a/README.md
+++ b/README.md
@@ -22,14 +22,10 @@ Montgomery, David, Appukuttan, Sreejith, Yellapantula, Shashank, Perry, Bruce, a
 The easiest way to install FuelLib is via pip:
 
 ```bash
-# Basic installation
 pip install fuellib
-
-# Or with development tools (docs, testing, formatting)
-pip install 'fuellib[dev]'
 ```
 
-This will make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available. With the `[dev]` extra, you'll also have `fl-build-docs`, `fl-clean-docs`, and `fl-format` commands.
+This will make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available.
 
 ### Option 2: Development Installation (For Contributors)
 
@@ -38,11 +34,11 @@ Clone the repository and install in editable mode:
 ```bash
 git clone https://github.com/NatLabRockies/FuelLib.git
 cd FuelLib
-pip install -e .           # Basic installation
-# or
-pip install -e ".[dev]"    # Full development installation
+pip install -e '.[dev]'  # Install with development tools (docs, testing, formatting)
 ```
 
+See the [Contributing](https://NatLabRockies.github.io/FuelLib/development.html) page for more detailed setup instructions and contribution guidelines.
+
 ### Optional: Create a Conda Environment
 
 To use a specific conda environment:
@@ -50,7 +46,7 @@ To use a specific conda environment:
 ```bash
 conda create --name fuellib-env python numpy pandas scipy matplotlib
 conda activate fuellib-env
-pip install 'fuellib[dev]'  # or pip install fuellib
+pip install fuellib
 ```
 
 ## Running the Code
@@ -71,16 +67,22 @@ fl-export-converge -f posf10325
 Run `fl-export-pele -h` or `fl-export-converge -h` for detailed usage information. 
 
 # Contributing
-New contributions are always welcome.  If you have an idea for a new feature follow these steps:
+New contributions are always welcome! For detailed contribution guidelines, installation instructions, and development setup, see the [Contributing](https://NatLabRockies.github.io/FuelLib/development.html) page in the documentation.
+
+Quick start:
 1. Fork the main repository
 2. Create a `newFeature` branch that contains your changes
 3. Update the sphinx documentation in `newFeature`
-4. Format the source code files using the provided CLI command:
+4. Install development dependencies:
+   ```bash
+   pip install -e '.[dev]'
+   ```
+5. Format the source code files using the provided CLI command:
    ~~~
    fl-format
    ~~~
-   (Requires installing with `pip install -e ".[dev]"`. Uses Black version `26.3.1`.)
-5. Open a Pull Request (PR) from `newFeature` on your fork to branch `main` FuelLib repository.
+6. Run tests and build documentation locally to verify your changes
+7. Open a Pull Request (PR) from `newFeature` on your fork to branch `main` FuelLib repository.
 
 ## Sphinx Documentation
 This repository uses [Sphinx](https://www.sphinx-doc.org/en/master/usage/quickstart.html) to generate documentation.
diff --git a/docs/development.rst b/docs/development.rst
new file mode 100644
index 0000000..acfa8c7
--- /dev/null
+++ b/docs/development.rst
@@ -0,0 +1,73 @@
+Contributing to FuelLib
+=======================
+
+We welcome contributions! This page covers how to set up your development environment, make changes, and submit pull requests.
+
+Development Setup
+-----------------
+
+Clone the repository and install in editable mode with development dependencies:
+
+.. code-block:: bash
+
+   git clone https://github.com/NatLabRockies/FuelLib.git
+   cd FuelLib
+   pip install -e '.[dev]'
+
+This installs FuelLib with all development tools:
+
+- **Documentation:** Sphinx, sphinx-rtd-theme, sphinxcontrib-bibtex
+- **Code formatting:** Black
+- **Testing:** pytest
+- **Plotting:** matplotlib
+
+Optional: Conda Environment
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+To use a specific conda environment:
+
+.. code-block:: bash
+
+   conda create --name fuellib-env python numpy pandas scipy matplotlib
+   conda activate fuellib-env
+   pip install -e '.[dev]'
+
+Contributing Guidelines
+-----------------------
+
+New contributions are always welcome! To contribute:
+
+1. Fork the main repository on GitHub
+2. Create a new branch for your feature: ``git checkout -b newFeature``
+3. Make your changes and update documentation as needed
+4. Ensure development dependencies are installed (see Development Setup above)
+5. Format your code using Black:
+
+   .. code-block:: bash
+
+      fl-format
+
+6. Run tests to verify your changes:
+
+   .. code-block:: bash
+
+      pytest tests/
+
+7. Open a Pull Request (PR) from your fork to the main FuelLib repository
+
+Building and Viewing Documentation Locally
+-------------------------------------------
+
+To build the documentation after installing with ``pip install -e '.[dev]'``:
+
+.. code-block:: bash
+
+   fl-build-docs
+
+The built documentation will be in ``docs/_build/html/``. Open ``index.html`` in your browser to view it.
+
+To clean the build artifacts:
+
+.. code-block:: bash
+
+   fl-clean-docs
diff --git a/docs/index.rst b/docs/index.rst
index 25c76af..4da9144 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -14,43 +14,6 @@ The source code is available at `github.com/NatLabRockies/FuelLib <https://githu
    :width: 600pt
    :align: center
 
-
-Installation
-------------
-
-The easiest way to install FuelLib is via pip:
-
-.. code-block:: bash
-
-   # Basic installation
-   pip install fuellib
-
-   # Or with development tools (docs, testing, formatting)
-   pip install 'fuellib[dev]'
-
-For development or to install from source, see the `tutorials-basic <tutorials/tutorials-basic.html>`_ page for detailed installation instructions.
-
-After installation, the command-line exporters will be available:
-
-.. code-block:: bash
-
-   fl-export-pele -h          # Export for PelePhysics simulations
-   fl-export-converge -h      # Export for Converge simulations
-   fl-build-docs              # Build documentation (requires [dev])
-   fl-format                  # Format code with Black (requires [dev])
-
-**Package Requirements**
-
-FuelLib requires:
-
-- **Core dependencies:** numpy ≥1.19.0, pandas ≥1.0.0, scipy ≥1.5.0
-- **Optional dependencies** (``[dev]`` extra): 
-  - Documentation: sphinx ≥4.0, sphinx-rtd-theme ≥1.0, sphinxcontrib-bibtex ≥2.0
-  - Code formatting: black ≥26.3.1
-  - Testing: pytest ≥6.0
-  - Plotting: matplotlib ≥3.0
-
-
 Citing this work
 ----------------
 
@@ -73,13 +36,40 @@ If you use FuelLib in your research, please cite the following software record:
       month = {feb}
    }
 
+Installation
+------------
+
+The easiest way to install FuelLib is via pip:
+
+.. code-block:: bash
+
+   pip install fuellib
+
+After installation, the command-line exporters for exporting fuel data will be available:
+
+.. code-block:: bash
+
+   fl-export-pele -h          # Export for PelePhysics simulations
+   fl-export-converge -h      # Export for Converge simulations
+
+For more detailed information or development setup, see the `Contributing <contributing.html>`_ page.
+
+**Package Requirements**
+
+FuelLib requires:
+
+- numpy ≥1.19.0, pandas ≥1.0.0, scipy ≥1.5.0
+
+Development tools (Sphinx, Black, pytest, matplotlib) are available for developers installing from source; see the installation instructions in the tutorials section.
+
 .. toctree::
    :maxdepth: 4
    :includehidden:
    :caption: Contents:
 
    fuelprops
-   sourcecode
    tutorials
+   sourcecode   
+   development
 
 .. footbibliography::
\ No newline at end of file
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index 4c7bb00..1f900ef 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -8,33 +8,15 @@ provides a basic introduction to using FuelLib, including installation, required
 Download and Setup
 ^^^^^^^^^^^^^^^^^^
 
-**Option 1: Install from PyPI (Recommended)**
+Install FuelLib using pip:
 
-Install FuelLib using pip: ::
+.. code-block:: bash
 
-    pip install fuellib
+   pip install fuellib
 
-Or with development tools: ::
+For information about contributing or development setup, see the `Contributing <development.html>`_ page.
 
-    pip install 'fuellib[dev]'
-
-**Option 2: Development Installation (From Source)**
-
-Clone the FuelLib repository from GitHub: ::
-
-    git clone https://github.com/NatLabRockies/FuelLib.git
-    cd FuelLib
-
-Create and activate a Conda environment with the required dependencies: ::
-
-    conda create --name fuellib-env python numpy pandas scipy matplotlib
-    conda activate fuellib-env
-
-Install FuelLib: ::
-
-    pip install -e .
-
-Change to the tutorials directory: ::
+After installation, change to the tutorials directory to run the examples:
 
     cd tutorials
 
diff --git a/fuellib/build_docs.py b/fuellib/build_docs.py
index 7d0eff9..8f6597a 100644
--- a/fuellib/build_docs.py
+++ b/fuellib/build_docs.py
@@ -26,8 +26,8 @@ def main():
     docs_dir = os.path.join(project_root, "docs")
 
     # Ensure fuellib is in the Python path for autodoc
-    if fuellib_dir not in sys.path:
-        sys.path.insert(0, os.path.dirname(fuellib_dir))
+    if project_root not in sys.path:
+        sys.path.insert(0, project_root)
 
     # Build command
     build_cmd = [
diff --git a/tests/test_source_docstrings.py b/tests/test_source_docstrings.py
index ea58fb3..b696483 100644
--- a/tests/test_source_docstrings.py
+++ b/tests/test_source_docstrings.py
@@ -67,16 +67,29 @@ def _iter_api_functions(module_node):
 
 class SourceDocstringContractTestCase(unittest.TestCase):
     def test_source_function_documentation(self):
-        source_dir = Path(__file__).resolve().parents[1] / "source"
+        fuellib_dir = Path(__file__).resolve().parents[1] / "fuellib"
+        
+        # Check main module, exporter scripts, and CLI entry points
+        py_files = [
+            fuellib_dir / "__init__.py",
+            fuellib_dir / "exporters" / "pele.py",
+            fuellib_dir / "exporters" / "converge.py",
+            fuellib_dir / "build_docs.py",
+            fuellib_dir / "clean_docs.py",
+            fuellib_dir / "format_code.py",
+        ]
+        
         total_count = 0
         passed_count = 0
         current_file = None
 
         print("\n")  # Add newline to separate from unittest verbose output
 
-        for py_file in sorted(source_dir.glob("*.py")):
+        for py_file in py_files:
+            if not py_file.exists():
+                continue
             tree = ast.parse(py_file.read_text(encoding="utf-8"), filename=str(py_file))
-            file_label = py_file.relative_to(source_dir.parent)
+            file_label = py_file.relative_to(fuellib_dir.parent)
 
             # Print file header when switching files
             if current_file != file_label:

From 2d434b0e7060e84113f80b468425f5880f5e03fc Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 15:02:09 -0600
Subject: [PATCH 11/48] Update to 0.1.1

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 98018ff..6686245 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "0.1.0"
+version = "0.1.1"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "Apache-2.0"}

From 3e1c5f502a75d22e7e1377b3b9a21a8088afe924 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 15:24:29 -0600
Subject: [PATCH 12/48] Format and update docs

---
 README.md                          |  2 +-
 docs/development.rst               | 10 ++++------
 docs/tutorials-basic.rst           |  6 +++---
 docs/tutorials-export-converge.rst |  2 +-
 docs/tutorials-export-pele.rst     |  2 +-
 pyproject.toml                     |  2 +-
 tests/test_source_docstrings.py    |  4 ++--
 7 files changed, 13 insertions(+), 15 deletions(-)

diff --git a/README.md b/README.md
index f32bb22..2f63501 100644
--- a/README.md
+++ b/README.md
@@ -53,7 +53,7 @@ pip install fuellib
 This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
 
 ### Command-Line Exporters
-After installing FuelLib with `pip install -e .`, you can use the command-line exporters to generate fuel properties for CFD simulations:
+After installing FuelLib with `pip install fuellib .`, you can use the command-line exporters to generate fuel properties for CFD simulations:
 
 - `fl-export-pele`: Export fuel properties for PelePhysics simulations
 - `fl-export-converge`: Export fuel properties for Converge simulations
diff --git a/docs/development.rst b/docs/development.rst
index acfa8c7..4cf4fbf 100644
--- a/docs/development.rst
+++ b/docs/development.rst
@@ -41,17 +41,15 @@ New contributions are always welcome! To contribute:
 2. Create a new branch for your feature: ``git checkout -b newFeature``
 3. Make your changes and update documentation as needed
 4. Ensure development dependencies are installed (see Development Setup above)
-5. Format your code using Black:
-
-   .. code-block:: bash
-
-      fl-format
+5. Format your code using Black ``fl-format``
 
 6. Run tests to verify your changes:
 
    .. code-block:: bash
 
-      pytest tests/
+      python tests/test_api.py
+      python tests/test_accuracy.py
+      python tests/test_source_docstrings.py
 
 7. Open a Pull Request (PR) from your fork to the main FuelLib repository
 
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index 1f900ef..d383426 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -14,11 +14,11 @@ Install FuelLib using pip:
 
    pip install fuellib
 
-For information about contributing or development setup, see the `Contributing <development.html>`_ page.
+The required dependencies (numpy ≥1.19.0, pandas ≥1.0.0, scipy ≥1.5.0) will be installed automatically.
 
-After installation, change to the tutorials directory to run the examples:
+For information about contributing or development setup, see the `Contributing <development.html>`_ page.
 
-    cd tutorials
+If you want to run the example scripts, you can either clone the repository or download individual tutorial files from the `tutorials <https://github.com/NatLabRockies/FuelLib/tree/main/tutorials>`_ directory on GitHub.
 
 Required Input Files and Decomposing Fuel Components
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/docs/tutorials-export-converge.rst b/docs/tutorials-export-converge.rst
index 4ecd11a..f2c9d99 100644
--- a/docs/tutorials-export-converge.rst
+++ b/docs/tutorials-export-converge.rst
@@ -33,7 +33,7 @@ This example walks through the process and the available options for exporting G
 Default Options
 ^^^^^^^^^^^^^^^
     
-After installing FuelLib with ``pip install -e .``, run the following command in the terminal, noting that ``--fuel_name`` is the only required input: ::
+After installing FuelLib with ``pip install fuellib``, run the following command in the terminal, noting that ``--fuel_name`` is the only required input: ::
     
     fl-export-converge --fuel_name posf10325
 
diff --git a/docs/tutorials-export-pele.rst b/docs/tutorials-export-pele.rst
index fec9b31..e512d0a 100644
--- a/docs/tutorials-export-pele.rst
+++ b/docs/tutorials-export-pele.rst
@@ -55,7 +55,7 @@ to Pele.
 Default Options
 ^^^^^^^^^^^^^^^
     
-After installing FuelLib with ``pip install -e .``, run the following command in the terminal to export 
+After installing FuelLib with ``pip install fuellib``, run the following command in the terminal to export 
 the required GCM parameters. The fuel here, "heptane-decane", is a binary mixture 
 of heptane and decane. Note that ``--fuel_name`` is the only required input: ::
     
diff --git a/pyproject.toml b/pyproject.toml
index 6686245..1c93539 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "0.1.1"
+version = "0.1.1post1"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "Apache-2.0"}
diff --git a/tests/test_source_docstrings.py b/tests/test_source_docstrings.py
index b696483..4cb4378 100644
--- a/tests/test_source_docstrings.py
+++ b/tests/test_source_docstrings.py
@@ -68,7 +68,7 @@ def _iter_api_functions(module_node):
 class SourceDocstringContractTestCase(unittest.TestCase):
     def test_source_function_documentation(self):
         fuellib_dir = Path(__file__).resolve().parents[1] / "fuellib"
-        
+
         # Check main module, exporter scripts, and CLI entry points
         py_files = [
             fuellib_dir / "__init__.py",
@@ -78,7 +78,7 @@ def test_source_function_documentation(self):
             fuellib_dir / "clean_docs.py",
             fuellib_dir / "format_code.py",
         ]
-        
+
         total_count = 0
         passed_count = 0
         current_file = None

From 04546b259f4f6ef9dc452890cc6d292da310051b Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 15:44:53 -0600
Subject: [PATCH 13/48] Update version for pip

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 1c93539..10ad56d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "0.1.1post1"
+version = "2.1.2a1"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "Apache-2.0"}

From 6cc62bcb61496bd36783956325ecc8c6a6de1877 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 16:14:47 -0600
Subject: [PATCH 14/48] Update license for pip

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 10ad56d..050c8c7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,10 +4,10 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "2.1.2a1"
+version = "2.1.2a2"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
-license = {text = "Apache-2.0"}
+license = {text = "BSD-3-Clause"}
 authors = [
     {name = "NLR", email = "david.montgomery@nlr.gov"},
 ]

From 31ef35b76473844750e144144d0a39c07ef1447d Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 16:33:32 -0600
Subject: [PATCH 15/48] Update license for pip

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 050c8c7..7115db4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "2.1.2a2"
+version = "2.1.2a3"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}
@@ -16,7 +16,7 @@ keywords = ["fuel", "thermodynamics", "group-contribution", "properties"]
 classifiers = [
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Science/Research",
-    "License :: OSI Approved :: Apache Software License",
+    "License :: OSI Approved :: BSD License",
     "Operating System :: OS Independent",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.8",

From b527da99aa3453c30440d8ece35486b6a6a63bca Mon Sep 17 00:00:00 2001
From: Dave Montgomery <David.Montgomery@nrel.gov>
Date: Wed, 13 May 2026 17:00:31 -0600
Subject: [PATCH 16/48] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2f63501..110cdd1 100644
--- a/README.md
+++ b/README.md
@@ -53,7 +53,7 @@ pip install fuellib
 This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
 
 ### Command-Line Exporters
-After installing FuelLib with `pip install fuellib .`, you can use the command-line exporters to generate fuel properties for CFD simulations:
+After installing FuelLib using one of the methods above, you can use the command-line exporters to generate fuel properties for CFD simulations:
 
 - `fl-export-pele`: Export fuel properties for PelePhysics simulations
 - `fl-export-converge`: Export fuel properties for Converge simulations

From 30bb2b9b12d8a049b4626a336971841456074af0 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 08:08:56 -0600
Subject: [PATCH 17/48] Get version from metadata

---
 fuellib/__init__.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index deab0ff..37bbd1f 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -10,6 +10,13 @@
 import pandas as pd
 from scipy.optimize import curve_fit
 
+try:
+    from importlib.metadata import version
+
+    __version__ = version("fuellib")
+except Exception:
+    __version__ = "unknown"
+
 from ._data_locator import (
     get_gcmtable_dir,
     get_fueldata_dir,
@@ -18,7 +25,6 @@
     get_fueldata_props_dir,
 )
 
-__version__ = "0.1.0"
 __all__ = [
     "fuel",
     "C2K",

From b4d18eff6946d6e5e1cfbb5cb7c40bdc47d70859 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 08:54:09 -0600
Subject: [PATCH 18/48] Additional command line utilities

---
 README.md                                     | 36 ++++++++++++++++---
 fuellib/__init__.py                           | 31 +++++++++++++---
 fuellib/utilities/__init__.py                 |  1 +
 fuellib/utilities/temp_converter.py           | 36 +++++++++++++++++++
 .../utilities/transport_props_converter.py    | 20 +++++++++++
 pyproject.toml                                |  7 ++--
 6 files changed, 121 insertions(+), 10 deletions(-)
 create mode 100644 fuellib/utilities/__init__.py
 create mode 100644 fuellib/utilities/temp_converter.py
 create mode 100644 fuellib/utilities/transport_props_converter.py

diff --git a/README.md b/README.md
index 110cdd1..82e26ab 100644
--- a/README.md
+++ b/README.md
@@ -52,19 +52,47 @@ pip install fuellib
 ## Running the Code
 This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
 
-### Command-Line Exporters
-After installing FuelLib using one of the methods above, you can use the command-line exporters to generate fuel properties for CFD simulations:
+### Command-Line Tools
+After installing FuelLib using one of the methods above, you have access to several command-line tools:
+
+#### Exporters
+Export fuel properties for CFD simulations:
 
 - `fl-export-pele`: Export fuel properties for PelePhysics simulations
 - `fl-export-converge`: Export fuel properties for Converge simulations
 
-For example:
+Example:
 ```bash
 fl-export-pele -f posf10264
 fl-export-converge -f posf10325
 ```
 
-Run `fl-export-pele -h` or `fl-export-converge -h` for detailed usage information. 
+Run `fl-export-pele -h` or `fl-export-converge -h` for detailed usage information.
+
+#### Utilities
+Utility functions for combustion simulations:
+
+**Temperature Conversion:**
+- `fl-C2K`: Convert temperature from Celsius to Kelvin
+- `fl-K2C`: Convert temperature from Kelvin to Celsius
+
+Example:
+```bash
+fl-C2K 25.0
+# Output: 25.0 °C = 298.15 K
+
+fl-K2C 373.15
+# Output: 373.15 K = 100.00 °C
+```
+
+**Transport Properties:**
+- `fl-eps2K`: Convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin. Useful when preparing CHEMKIN chemical mechanisms which requires the characteristic temperature (epsilon/k_B) rather than the well depth energy directly.
+
+Example:
+```bash
+fl-eps2K 4066.75
+# Output: Characteristic temperature: 489.118 K
+``` 
 
 # Contributing
 New contributions are always welcome! For detailed contribution guidelines, installation instructions, and development setup, see the [Contributing](https://NatLabRockies.github.io/FuelLib/development.html) page in the documentation.
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 37bbd1f..4949208 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -25,13 +25,20 @@
     get_fueldata_props_dir,
 )
 
+# Physical constants
+k_B = 1.380649e-23  # Boltzmann's constant in J/K
+N_A = 6.02214076e23  # Avogadro's number in 1/mol
+
 __all__ = [
     "fuel",
+    "k_B",
+    "N_A",
     "C2K",
     "K2C",
     "mixing_rule",
     "droplet_volume",
     "droplet_mass",
+    "epsilon_to_characteristic_temperature",
     "get_fueldata_props_dir",
 ]
 
@@ -52,9 +59,6 @@ class fuel:
     N_g1 = 78
     N_g2 = 43
 
-    # Boltzmann's constant J/K
-    k_B = 1.380649e-23
-
     def __init__(self, name, decompName=None, fuelDataDir=None):
         """
         Initialize the fuel object and calculate GCM properties.
@@ -1036,7 +1040,26 @@ def mixture_thermal_conductivity(self, Yi, T):
 
 # -----------------------------------------------------------------------------
 # Utility functions
-# -------
+# -----------------------------------------------------------------------------
+
+
+def epsilon_to_characteristic_temperature(epsilon_j_per_mol):
+    """
+    Convert Lennard-Jones epsilon from J/mol to characteristic temperature in Kelvin.
+
+    The characteristic temperature (epsilon/k_B) is used in transport property
+    correlations and is required by combustion codes like CHEMKIN.
+
+    Uses the relation: T* = (epsilon_J/mol) / (N_A * k_B)
+
+    :param epsilon_j_per_mol: Lennard-Jones well depth epsilon in J/mol.
+    :type epsilon_j_per_mol: float
+    :return: Characteristic temperature (epsilon/k_B) in Kelvin.
+    :rtype: float
+    """
+    epsilon_per_molecule = epsilon_j_per_mol / N_A
+    lj_welldepth_K = epsilon_per_molecule / k_B
+    return lj_welldepth_K
 
 
 def C2K(T):
diff --git a/fuellib/utilities/__init__.py b/fuellib/utilities/__init__.py
new file mode 100644
index 0000000..f219016
--- /dev/null
+++ b/fuellib/utilities/__init__.py
@@ -0,0 +1 @@
+"""Command-line utility tools for FuelLib."""
diff --git a/fuellib/utilities/temp_converter.py b/fuellib/utilities/temp_converter.py
new file mode 100644
index 0000000..80e3be7
--- /dev/null
+++ b/fuellib/utilities/temp_converter.py
@@ -0,0 +1,36 @@
+"""Command-line tools to convert temperature between Celsius and Kelvin."""
+
+import sys
+from .. import C2K, K2C
+
+
+def c2k_main():
+    """Convert temperature from Celsius to Kelvin via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-C2K <temperature_in_celsius>")
+        print("\nConvert temperature from Celsius to Kelvin")
+        sys.exit(1)
+
+    try:
+        temp_c = float(sys.argv[1])
+        result = C2K(temp_c)
+        print(f"{temp_c} °C = {result:.2f} K")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
+
+
+def k2c_main():
+    """Convert temperature from Kelvin to Celsius via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-K2C <temperature_in_kelvin>")
+        print("\nConvert temperature from Kelvin to Celsius")
+        sys.exit(1)
+
+    try:
+        temp_k = float(sys.argv[1])
+        result = K2C(temp_k)
+        print(f"{temp_k} K = {result:.2f} °C")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
diff --git a/fuellib/utilities/transport_props_converter.py b/fuellib/utilities/transport_props_converter.py
new file mode 100644
index 0000000..b806550
--- /dev/null
+++ b/fuellib/utilities/transport_props_converter.py
@@ -0,0 +1,20 @@
+"""Command-line tool to convert transport properties for combustion simulations."""
+
+import sys
+from .. import epsilon_to_characteristic_temperature
+
+
+def eps2K_main():
+    """Convert Lennard-Jones epsilon from J/mol to K via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-eps2K <epsilon_in_J_per_mol>")
+        print("\nConvert Lennard-Jones well depth epsilon from J/mol to Kelvin")
+        sys.exit(1)
+
+    try:
+        epsilon = float(sys.argv[1])
+        result = epsilon_to_characteristic_temperature(epsilon)
+        print(f"Characteristic temperature: {result:.3f} K")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
diff --git a/pyproject.toml b/pyproject.toml
index 7115db4..4a769b9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "2.1.2a3"
+version = "2.1.2a4"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}
@@ -50,6 +50,9 @@ fl-export-pele = "fuellib.exporters.pele:main"
 fl-build-docs = "fuellib.build_docs:main"
 fl-clean-docs = "fuellib.clean_docs:main"
 fl-format = "fuellib.format_code:main"
+fl-eps2K = "fuellib.utilities.transport_props_converter:eps2K_main"
+fl-C2K = "fuellib.utilities.temp_converter:c2k_main"
+fl-K2C = "fuellib.utilities.temp_converter:k2c_main"
 
 [project.urls]
 Repository = "https://github.com/NatLabRockies/FuelLib"
@@ -57,7 +60,7 @@ Issues = "https://github.com/NatLabRockies/FuelLib/issues"
 Documentation = "https://NatLabRockies.github.io/FuelLib"
 
 [tool.setuptools]
-packages = ["fuellib", "fuellib.exporters"]
+packages = ["fuellib", "fuellib.exporters", "fuellib.utilities"]
 
 [tool.setuptools.package-data]
 fuellib = [

From a13fca0d32018298250f8fe410647e79f1f76997 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 09:02:22 -0600
Subject: [PATCH 19/48] Update README links

---
 README.md | 14 ++++----------
 1 file changed, 4 insertions(+), 10 deletions(-)

diff --git a/README.md b/README.md
index 82e26ab..d115d86 100644
--- a/README.md
+++ b/README.md
@@ -49,8 +49,8 @@ conda activate fuellib-env
 pip install fuellib
 ```
 
-## Running the Code
-This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction]. The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
+## Library Usage
+This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction](https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction). The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
 
 ### Command-Line Tools
 After installing FuelLib using one of the methods above, you have access to several command-line tools:
@@ -101,14 +101,8 @@ Quick start:
 1. Fork the main repository
 2. Create a `newFeature` branch that contains your changes
 3. Update the sphinx documentation in `newFeature`
-4. Install development dependencies:
-   ```bash
-   pip install -e '.[dev]'
-   ```
-5. Format the source code files using the provided CLI command:
-   ~~~
-   fl-format
-   ~~~
+4. Install development dependencies: `pip install -e '.[dev]`
+5. Format the source code files using the provided CLI command: `fl-format`
 6. Run tests and build documentation locally to verify your changes
 7. Open a Pull Request (PR) from `newFeature` on your fork to branch `main` FuelLib repository.
 

From 231eda18578172245718a0104a1842e3abc0f1dc Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 09:10:42 -0600
Subject: [PATCH 20/48] Add CI testing for utilities

---
 .github/workflows/ci.yml |  12 ++++
 tests/test_utilities.py  | 134 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 146 insertions(+)
 create mode 100644 tests/test_utilities.py

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 28e6c03..a46bd03 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -77,6 +77,18 @@ jobs:
           pip install -e .
       - run: python tests/test_source_docstrings.py -v
   
+  Utilities:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+      - run: |
+          python -m pip install --upgrade pip
+          pip install -e '.[dev]'
+      - run: python -m pytest tests/test_utilities.py -v
+  
   Exporting-Scripts:
     runs-on: ubuntu-latest
     steps:
diff --git a/tests/test_utilities.py b/tests/test_utilities.py
new file mode 100644
index 0000000..629bceb
--- /dev/null
+++ b/tests/test_utilities.py
@@ -0,0 +1,134 @@
+"""Tests for FuelLib utility functions and CLI commands."""
+
+import subprocess
+import unittest
+
+import fuellib as fl
+
+
+class TestUtilityFunctions(unittest.TestCase):
+    """Test standalone utility functions."""
+
+    def test_epsilon_to_characteristic_temperature(self):
+        """Test epsilon conversion from J/mol to Kelvin."""
+        # Test with a known value
+        # epsilon = 1000 J/mol
+        # epsilon_molecule = 1000 / 6.02214076e23 J
+        # T* = epsilon_molecule / k_B = (1000 / 6.02214076e23) / 1.380649e-23 K
+        result = fl.epsilon_to_characteristic_temperature(1000.0)
+        expected = (1000.0 / fl.N_A) / fl.k_B
+        self.assertAlmostEqual(result, expected, places=10)
+
+    def test_epsilon_to_characteristic_temperature_zero(self):
+        """Test epsilon conversion with zero input."""
+        result = fl.epsilon_to_characteristic_temperature(0.0)
+        self.assertEqual(result, 0.0)
+
+    def test_epsilon_to_characteristic_temperature_negative(self):
+        """Test epsilon conversion with negative input."""
+        result = fl.epsilon_to_characteristic_temperature(-1000.0)
+        expected = (-1000.0 / fl.N_A) / fl.k_B
+        self.assertAlmostEqual(result, expected, places=10)
+
+    def test_C2K(self):
+        """Test Celsius to Kelvin conversion."""
+        # 0°C = 273.15 K
+        self.assertAlmostEqual(fl.C2K(0.0), 273.15, places=10)
+        # 25°C = 298.15 K
+        self.assertAlmostEqual(fl.C2K(25.0), 298.15, places=10)
+        # 100°C = 373.15 K
+        self.assertAlmostEqual(fl.C2K(100.0), 373.15, places=10)
+
+    def test_K2C(self):
+        """Test Kelvin to Celsius conversion."""
+        # 273.15 K = 0°C
+        self.assertAlmostEqual(fl.K2C(273.15), 0.0, places=10)
+        # 298.15 K = 25°C
+        self.assertAlmostEqual(fl.K2C(298.15), 25.0, places=10)
+        # 373.15 K = 100°C
+        self.assertAlmostEqual(fl.K2C(373.15), 100.0, places=10)
+
+    def test_C2K_K2C_roundtrip(self):
+        """Test roundtrip conversion between Celsius and Kelvin."""
+        original_c = 42.5
+        kelvin = fl.C2K(original_c)
+        result_c = fl.K2C(kelvin)
+        self.assertAlmostEqual(result_c, original_c, places=10)
+
+
+class TestUtilityCLI(unittest.TestCase):
+    """Test command-line interface utilities."""
+
+    def _run_cli_command(self, command, *args):
+        """Run a CLI command and return stdout."""
+        try:
+            result = subprocess.run(
+                [command] + list(args),
+                capture_output=True,
+                text=True,
+                timeout=5,
+            )
+            return result.returncode, result.stdout, result.stderr
+        except FileNotFoundError:
+            self.skipTest(f"Command '{command}' not found in PATH")
+
+    def test_fl_eps2K_basic(self):
+        """Test fl-eps2K CLI command."""
+        returncode, stdout, stderr = self._run_cli_command("fl-eps2K", "1000.0")
+        self.assertEqual(returncode, 0, f"stderr: {stderr}")
+        self.assertIn("Characteristic temperature", stdout)
+        self.assertIn("K", stdout)
+
+    def test_fl_eps2K_invalid_input(self):
+        """Test fl-eps2K CLI with invalid input."""
+        returncode, stdout, stderr = self._run_cli_command("fl-eps2K", "not_a_number")
+        self.assertNotEqual(returncode, 0)
+        self.assertIn("Error", stdout)
+
+    def test_fl_eps2K_no_args(self):
+        """Test fl-eps2K CLI with no arguments."""
+        returncode, stdout, stderr = self._run_cli_command("fl-eps2K")
+        self.assertNotEqual(returncode, 0)
+        self.assertIn("Usage", stdout)
+
+    def test_fl_C2K_basic(self):
+        """Test fl-C2K CLI command."""
+        returncode, stdout, stderr = self._run_cli_command("fl-C2K", "25.0")
+        self.assertEqual(returncode, 0, f"stderr: {stderr}")
+        self.assertIn("298.15", stdout)
+        self.assertIn("K", stdout)
+
+    def test_fl_C2K_invalid_input(self):
+        """Test fl-C2K CLI with invalid input."""
+        returncode, stdout, stderr = self._run_cli_command("fl-C2K", "not_a_number")
+        self.assertNotEqual(returncode, 0)
+        self.assertIn("Error", stdout)
+
+    def test_fl_C2K_no_args(self):
+        """Test fl-C2K CLI with no arguments."""
+        returncode, stdout, stderr = self._run_cli_command("fl-C2K")
+        self.assertNotEqual(returncode, 0)
+        self.assertIn("Usage", stdout)
+
+    def test_fl_K2C_basic(self):
+        """Test fl-K2C CLI command."""
+        returncode, stdout, stderr = self._run_cli_command("fl-K2C", "298.15")
+        self.assertEqual(returncode, 0, f"stderr: {stderr}")
+        self.assertIn("25.00", stdout)
+        self.assertIn("C", stdout)
+
+    def test_fl_K2C_invalid_input(self):
+        """Test fl-K2C CLI with invalid input."""
+        returncode, stdout, stderr = self._run_cli_command("fl-K2C", "not_a_number")
+        self.assertNotEqual(returncode, 0)
+        self.assertIn("Error", stdout)
+
+    def test_fl_K2C_no_args(self):
+        """Test fl-K2C CLI with no arguments."""
+        returncode, stdout, stderr = self._run_cli_command("fl-K2C")
+        self.assertNotEqual(returncode, 0)
+        self.assertIn("Usage", stdout)
+
+
+if __name__ == "__main__":
+    unittest.main()

From 755f6dab7d602002fecb589058db75c3725dd9c3 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 09:13:31 -0600
Subject: [PATCH 21/48] Add eps2K to API contract

---
 tests/test_api.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_api.py b/tests/test_api.py
index 55e9364..899f795 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -47,6 +47,7 @@ def test_fuellib_module_api(self):
             "mixing_rule": "(var_n, X, pseudo_prop='arithmetic')",
             "droplet_volume": "(r)",
             "droplet_mass": "(fuel, r, Yi, T)",
+            "epsilon_to_characteristic_temperature": "(epsilon_j_per_mol)",
         }
 
         actual = _public_module_functions(fl)

From 064f32ed28cc93b32c6850d38c0292a78ea47055 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 09:23:00 -0600
Subject: [PATCH 22/48] Update file structure in docs

---
 docs/sourcecode.rst | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index c573201..df24885 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -22,12 +22,18 @@ FuelLib File Organization
         - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
         - ``pele.py``: exporter for PelePhysics simulations (CLI: ``fl-export-pele``)
 
+    - **utilities:** subpackage with CLI utility tools for data conversion
+    
+        - ``epsilon_converter.py``: convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (CLI: ``fl-eps2K``)
+        - ``temp_converter.py``: convert temperature between Celsius and Kelvin (CLI: ``fl-C2K``, ``fl-K2C``)
+
 - **tests:**  directory containing CI unit tests for FuelLib. The CI test checks if the cumulative error of property predictions of a new proposed model are less than or equal to the current model.
     
     - **baselinePredictions:** directory that contains baseline predictions and script ``generate_baseline.py`` for generating baseline predictions for CI testing.
     - ``test_accuracy.py``: unit test used in CI for verifying new model predictions preserve accuracy
     - ``test_source_docstrings.py``: documentation contract test that checks public source functions include required docstring fields (``:param:``, ``:type:``, ``:return:``, ``:rtype:``).
     - ``test_api.py``: combined API/signature and function-evaluation test that checks public ``FuelLib.py`` module and class method signatures for unexpected API drift and runs representative FuelLib smoke evaluations.
+    - ``test_utilities.py``: unit test for utility functions and CLI commands including temperature conversion and transport property calculations.
     - ``get_pred_and_data.py``: helper function used by ``test_accuracy.py`` and ``baselinePredictions/generate_baseline.py`` to compute predictions and load validation data.
 
 - **tutorials:** directory containing example scripts that demonstrate how to use FuelLib

From 83a0e5b9c004435306eebbffc6c0d0b44539f044 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Thu, 14 May 2026 17:07:49 -0600
Subject: [PATCH 23/48] Simplify custom fuels and add more CLI plotting

- Rewrite tutorials-custom-fuels.rst for clarity
- Add fuel_metadata requirement
- Update error messages and fuel manager
- Add fl-fuels command to README
- Add testing for fuels shipped with FuelLib
---
 .github/workflows/ci.yml                      |  12 +
 .gitignore                                    |   3 +
 README.md                                     |  50 +-
 docs/sourcecode.rst                           |   8 +-
 docs/tutorials-basic.rst                      |   8 +-
 docs/tutorials-custom-fuels.rst               | 133 +++
 docs/tutorials.rst                            |   1 +
 fuelData/dataReferences.md                    |  52 --
 fuelData/gcData/decane_init.csv               |   2 -
 fuelData/gcData/dodecane_init.csv             |   2 -
 fuelData/gcData/hefa-came_init.csv            |  68 --
 fuelData/gcData/hefa-mfat_init.csv            |  68 --
 fuelData/gcData/hefa-tall_init.csv            |  68 --
 fuelData/gcData/heptane-decane_init.csv       |   3 -
 fuelData/gcData/heptane_init.csv              |   2 -
 fuelData/gcData/jet-a_init.csv                |  68 --
 fuelData/gcData/posf10264_init.csv            |  68 --
 fuelData/gcData/posf10289_init.csv            |  68 --
 fuelData/gcData/posf10325_init.csv            |  68 --
 fuelData/gcData/posf11498_init.csv            |  14 -
 fuelData/gcData/posf4658_init.csv             |  68 --
 fuelData/groupDecompositionData/decane.csv    |   2 -
 fuelData/groupDecompositionData/dodecane.csv  |   2 -
 fuelData/groupDecompositionData/hefa.csv      |  68 --
 .../groupDecompositionData/heptane-decane.csv |   3 -
 fuelData/groupDecompositionData/heptane.csv   |   2 -
 fuelData/groupDecompositionData/jet-a.csv     |  68 --
 fuelData/groupDecompositionData/posf10264.csv |  68 --
 fuelData/groupDecompositionData/posf10289.csv |  68 --
 fuelData/groupDecompositionData/posf10325.csv |  68 --
 fuelData/groupDecompositionData/posf11498.csv |  14 -
 fuelData/groupDecompositionData/posf4658.csv  |  68 --
 .../groupDecompositionData/refCompounds.csv   |  90 ---
 fuelData/propertiesData/decane.csv            |  37 -
 fuelData/propertiesData/dodecane.csv          |  33 -
 fuelData/propertiesData/hefa-jet-a-blends.csv |  10 -
 fuelData/propertiesData/heptane.csv           |  39 -
 fuelData/propertiesData/posf10264.csv         |  22 -
 fuelData/propertiesData/posf10289.csv         |  24 -
 fuelData/propertiesData/posf10325.csv         |  22 -
 fuelData/propertiesData/posf11498.csv         |  22 -
 fuelData/refCompounds.csv                     |  90 ---
 fuellib/__init__.py                           |  63 +-
 fuellib/_data_locator.py                      |  94 +++
 fuellib/data/fuelData/fuel_metadata.yaml      | 115 +++
 fuellib/data/fuelData/gcData/decane_init.csv  |   4 +-
 .../data/fuelData/gcData/dodecane_init.csv    |   4 +-
 fuellib/data/fuelData/gcData/hefa-S1_init.csv |   3 -
 .../gcData/hefa-WE-SAF-262714_init.csv        |  33 -
 .../data/fuelData/gcData/hefa-came_init.csv   | 136 ++--
 .../data/fuelData/gcData/hefa-mfat_init.csv   | 136 ++--
 .../data/fuelData/gcData/hefa-tall_init.csv   | 136 ++--
 .../fuelData/gcData/heptane-decane_init.csv   |   6 +-
 fuellib/data/fuelData/gcData/heptane_init.csv |   4 +-
 fuellib/data/fuelData/gcData/jet-a_init.csv   | 136 ++--
 .../fuelData/gcData/posf10264_T30_init.csv    |  68 --
 .../data/fuelData/gcData/posf10264_init.csv   | 136 ++--
 .../data/fuelData/gcData/posf10289_init.csv   | 136 ++--
 .../data/fuelData/gcData/posf10325_init.csv   | 136 ++--
 .../data/fuelData/gcData/posf11498_init.csv   |  28 +-
 .../data/fuelData/gcData/posf4658_init.csv    | 136 ++--
 .../groupDecompositionData/hefa-S1.csv        |   3 -
 .../hefa-WE-SAF-262714.csv                    |  33 -
 fuellib/exporters/converge.py                 |  13 +-
 fuellib/exporters/pele.py                     |  18 +-
 fuellib/utilities/fuel_manager.py             | 144 ++++
 fuellib/utilities/plotting.py                 | 758 ++++++++++++++++++
 pyproject.toml                                |   4 +
 tests/test_hc_identification.py               | 276 +++++++
 tutorials/compositionPlots.py                 | 188 +++--
 70 files changed, 2320 insertions(+), 2281 deletions(-)
 create mode 100644 docs/tutorials-custom-fuels.rst
 delete mode 100644 fuelData/dataReferences.md
 delete mode 100644 fuelData/gcData/decane_init.csv
 delete mode 100644 fuelData/gcData/dodecane_init.csv
 delete mode 100644 fuelData/gcData/hefa-came_init.csv
 delete mode 100644 fuelData/gcData/hefa-mfat_init.csv
 delete mode 100644 fuelData/gcData/hefa-tall_init.csv
 delete mode 100644 fuelData/gcData/heptane-decane_init.csv
 delete mode 100644 fuelData/gcData/heptane_init.csv
 delete mode 100644 fuelData/gcData/jet-a_init.csv
 delete mode 100644 fuelData/gcData/posf10264_init.csv
 delete mode 100644 fuelData/gcData/posf10289_init.csv
 delete mode 100644 fuelData/gcData/posf10325_init.csv
 delete mode 100644 fuelData/gcData/posf11498_init.csv
 delete mode 100644 fuelData/gcData/posf4658_init.csv
 delete mode 100644 fuelData/groupDecompositionData/decane.csv
 delete mode 100644 fuelData/groupDecompositionData/dodecane.csv
 delete mode 100644 fuelData/groupDecompositionData/hefa.csv
 delete mode 100644 fuelData/groupDecompositionData/heptane-decane.csv
 delete mode 100644 fuelData/groupDecompositionData/heptane.csv
 delete mode 100644 fuelData/groupDecompositionData/jet-a.csv
 delete mode 100644 fuelData/groupDecompositionData/posf10264.csv
 delete mode 100644 fuelData/groupDecompositionData/posf10289.csv
 delete mode 100644 fuelData/groupDecompositionData/posf10325.csv
 delete mode 100644 fuelData/groupDecompositionData/posf11498.csv
 delete mode 100644 fuelData/groupDecompositionData/posf4658.csv
 delete mode 100755 fuelData/groupDecompositionData/refCompounds.csv
 delete mode 100644 fuelData/propertiesData/decane.csv
 delete mode 100644 fuelData/propertiesData/dodecane.csv
 delete mode 100644 fuelData/propertiesData/hefa-jet-a-blends.csv
 delete mode 100644 fuelData/propertiesData/heptane.csv
 delete mode 100644 fuelData/propertiesData/posf10264.csv
 delete mode 100644 fuelData/propertiesData/posf10289.csv
 delete mode 100644 fuelData/propertiesData/posf10325.csv
 delete mode 100755 fuelData/propertiesData/posf11498.csv
 delete mode 100644 fuelData/refCompounds.csv
 create mode 100644 fuellib/data/fuelData/fuel_metadata.yaml
 delete mode 100644 fuellib/data/fuelData/gcData/hefa-S1_init.csv
 delete mode 100644 fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv
 delete mode 100644 fuellib/data/fuelData/gcData/posf10264_T30_init.csv
 delete mode 100644 fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv
 delete mode 100644 fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv
 create mode 100644 fuellib/utilities/fuel_manager.py
 create mode 100644 fuellib/utilities/plotting.py
 create mode 100644 tests/test_hc_identification.py

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index a46bd03..80581bf 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -89,6 +89,18 @@ jobs:
           pip install -e '.[dev]'
       - run: python -m pytest tests/test_utilities.py -v
   
+  Hydrocarbon-Identification:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+      - run: |
+          python -m pip install --upgrade pip
+          pip install -e '.[dev]'
+      - run: python -m pytest tests/test_hc_identification.py -v -s
+  
   Exporting-Scripts:
     runs-on: ubuntu-latest
     steps:
diff --git a/.gitignore b/.gitignore
index a337898..31587ed 100644
--- a/.gitignore
+++ b/.gitignore
@@ -20,3 +20,6 @@ build/
 env/
 venv/
 
+# Figures from plotting tools
+composition_*.png
+mixture_*.png
diff --git a/README.md b/README.md
index d115d86..4ca0025 100644
--- a/README.md
+++ b/README.md
@@ -50,7 +50,7 @@ pip install fuellib
 ```
 
 ## Library Usage
-This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, `tutorials/basic.py`, which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction](https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction). The script `tutorials/mixtureProperties.py` calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
+This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, [`tutorials/basic.py`](https://github.com/NatLabRockies/FuelLib/blob/main/tutorials/basic.py), which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction](https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction). The script [`tutorials/mixtureProperties.py`](https://github.com/NatLabRockies/FuelLib/blob/main/tutorials/mixtureProperties.py) calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
 
 ### Command-Line Tools
 After installing FuelLib using one of the methods above, you have access to several command-line tools:
@@ -75,24 +75,40 @@ Utility functions for combustion simulations:
 **Temperature Conversion:**
 - `fl-C2K`: Convert temperature from Celsius to Kelvin
 - `fl-K2C`: Convert temperature from Kelvin to Celsius
-
-Example:
-```bash
-fl-C2K 25.0
-# Output: 25.0 °C = 298.15 K
-
-fl-K2C 373.15
-# Output: 373.15 K = 100.00 °C
-```
+  ```bash
+  fl-C2K 25.0
+  # Output: 25.0 °C = 298.15 K
+  fl-K2C 373.15
+  # Output: 373.15 K = 100.00 °C
+  ```
 
 **Transport Properties:**
-- `fl-eps2K`: Convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin. Useful when preparing CHEMKIN chemical mechanisms which requires the characteristic temperature (epsilon/k_B) rather than the well depth energy directly.
-
-Example:
-```bash
-fl-eps2K 4066.75
-# Output: Characteristic temperature: 489.118 K
-``` 
+- `fl-eps2K`: Convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (for CHEMKIN chemical mechanisms)
+  ```bash
+  fl-eps2K 4066.75
+  # Output: Characteristic temperature: 489.118 K
+  ```
+
+**Available Fuels:**
+- `fl-fuels`: List all available fuels in the library (built-in and custom)
+  ```bash
+  fl-fuels              # Simple list
+  fl-fuels -v           # Detailed listing with metadata
+  fl-fuels -dir path/to/custom/fuelData  # List custom fuels
+  ```
+
+**Analysis & Visualization:**
+
+- `fl-plt-comp`: Plot fuel composition by compound and chemical family
+  ```bash
+  fl-plt-comp -f posf10264
+  ```
+
+- `fl-plt-props`: Plot mixture properties (density, viscosity, vapor pressure, surface tension, thermal conductivity) vs. temperature
+  ```bash
+  fl-plt-props -f posf10264
+  fl-plt-props -f posf10264 posf10325 posf10289  # Multiple fuels
+  ``` 
 
 # Contributing
 New contributions are always welcome! For detailed contribution guidelines, installation instructions, and development setup, see the [Contributing](https://NatLabRockies.github.io/FuelLib/development.html) page in the documentation.
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index df24885..b6e0e29 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -22,10 +22,14 @@ FuelLib File Organization
         - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
         - ``pele.py``: exporter for PelePhysics simulations (CLI: ``fl-export-pele``)
 
-    - **utilities:** subpackage with CLI utility tools for data conversion
+    - **utilities:** subpackage with CLI utility tools for data conversion and analysis
     
-        - ``epsilon_converter.py``: convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (CLI: ``fl-eps2K``)
+        - ``transport_props_converter.py``: convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (CLI: ``fl-eps2K``)
         - ``temp_converter.py``: convert temperature between Celsius and Kelvin (CLI: ``fl-C2K``, ``fl-K2C``)
+        - ``plotting.py``: plot fuel composition and mixture properties
+        
+            - ``plot_composition()``: plot fuel composition by compound and chemical family (CLI: ``fl-plt-comp``)
+            - ``plot_mixture_properties()``: plot mixture properties over temperature range with optional experimental data (CLI: ``fl-plt-props``)
 
 - **tests:**  directory containing CI unit tests for FuelLib. The CI test checks if the cumulative error of property predictions of a new proposed model are less than or equal to the current model.
     
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index d383426..e5aefb7 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -20,8 +20,8 @@ For information about contributing or development setup, see the `Contributing <
 
 If you want to run the example scripts, you can either clone the repository or download individual tutorial files from the `tutorials <https://github.com/NatLabRockies/FuelLib/tree/main/tutorials>`_ directory on GitHub.
 
-Required Input Files and Decomposing Fuel Components
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Required Input Files
+^^^^^^^^^^^^^^^^^^^^^
 
 FuelLib requires two input files for any given fuel, ``<fuel_name>``:
 
@@ -30,6 +30,10 @@ FuelLib requires two input files for any given fuel, ``<fuel_name>``:
 
 These two required files must have the same number of rows and the same order of components. Many examples can be found in the `fuelData <https://github.com/NatLabRockies/FuelLib/tree/main/fuelData>`_ directory.
 
+**Fuel Metadata**
+
+For custom fuels, a ``fuel_metadata.yaml`` file is required to define decomposition name mappings. This allows you to map fuel variants to the correct group decomposition file. See the `Adding Custom Fuels <tutorials-custom-fuels.html>`_ tutorial for details on the metadata file format and structure.
+
 Decomposing Fuel Components into Fundamental Groups
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
diff --git a/docs/tutorials-custom-fuels.rst b/docs/tutorials-custom-fuels.rst
new file mode 100644
index 0000000..dbe2243
--- /dev/null
+++ b/docs/tutorials-custom-fuels.rst
@@ -0,0 +1,133 @@
+Adding Custom Fuels
+====================
+
+This tutorial explains how to add custom fuels to FuelLib. Custom fuels allow you to use your own fuel composition and property data with the FuelLib calculations and plotting tools.
+
+Directory Structure
+-------------------
+
+Create a fuel data directory with this structure:
+
+.. code-block:: text
+
+    your_fueldata_dir/
+    ├── gcData/
+    │   └── your_fuel_name_init.csv
+    ├── groupDecompositionData/
+    │   └── your_fuel_name.csv
+    └── fuel_metadata.yaml
+
+**Required subdirectories:**
+
+- ``gcData/``: Contains GC×GC composition data (one file per fuel)
+- ``groupDecompositionData/``: Contains functional group decomposition data (one file per fuel)
+
+**Required file:**
+
+- ``fuel_metadata.yaml``: Configuration file that maps fuel names to their decomposition files
+
+Metadata Configuration
+----------------------
+
+Each custom fuel directory must have a ``fuel_metadata.yaml`` file at the root of the ``fuelData`` directory. This file defines the mapping from fuel names to their group decomposition files.
+
+**Minimal format:**
+
+.. code-block:: yaml
+
+    fuels:
+      your_fuel:
+        decomp_name: your_fuel
+
+**Fields:**
+
+- ``decomp_name`` (required): Name of the decomposition CSV file (without ``.csv`` extension). Must match a file in ``groupDecompositionData/``
+
+**Optional fields:**
+
+You can add additional metadata for documentation:
+
+.. code-block:: yaml
+
+    fuels:
+      your_fuel:
+        name: Display Name for Your Fuel
+        category: Conventional|SATF|Simple
+        source: Citation or origin of fuel data
+        reference: URL to source paper
+        description: Brief description of the fuel
+        decomp_name: your_fuel
+
+Note that you can assign the same decomposition to multiple fuel variants if they have identical bulk composition.
+
+GCxGC Composition Data
+----------------------
+
+Create a file named ``{fuel_name}_init.csv`` in the ``gcData/`` directory with fuel composition data.
+
+**Required columns:**
+
+- ``Compound``: Name of each component
+- ``Weight %``: Weight percentage of each component
+
+**Example:**
+
+.. code-block:: text
+
+    Compound,Weight %
+    n-Decane,60
+    n-Dodecane,40
+
+Group Decomposition Data
+------------------------
+
+Create a file named ``{decomp_name}.csv`` in the ``groupDecompositionData/`` directory with functional group decompositions for each compound.
+
+See the `Basic Usage tutorial <tutorials-basic.html#decomposing-fuel-components-into-fundamental-groups>`_ for detailed information on group decompositions.
+
+
+Using Custom Fuels
+------------------
+
+Once your fuel data directory is set up, you can use it like any built-in fuel:
+
+.. code-block:: python
+
+    import fuellib as fl
+
+    # Load a custom fuel
+    fuel = fl.fuel("new-satf", fuelDataDir="/path/to/custom_fuels")
+
+    # Display fuel name, components, initial composition, and critical temperature
+    print(f"Fuel name: {fuel.name}")
+    print(f"Fuel components: {fuel.compounds}")
+    print(f"Initial composition: {fuel.Y_0}")
+    print(f"Critical temperature: {fuel.Tc} K")
+
+    # Calculate the saturated vapor pressure at 320 K
+    T = 320  # K
+    p_sat_i = fuel.psat(T)
+    p_sat_mix = fuel.mixture_vapor_pressure(fuel.Y_0, T)
+    print(f"Saturated vapor pressure at {T} K: {p_sat_i} Pa")
+    print(f"Mixture saturated vapor pressure at {T} K: {p_sat_mix:.2f} Pa")
+
+Tips and Best Practices
+-----------------------
+
+1. **Composition Normalization**: Weight percentages don't need to sum to exactly 100% - FuelLib normalizes them automatically.
+
+2. **Group Decomposition Accuracy**: Predictions depend heavily on decomposition quality. When possible:
+   - Use literature values or validated decompositions
+   - Validate against measured properties
+   - Document your decomposition sources
+
+3. **Fuel Variants**: Use ``decomp_name`` to map multiple fuel variants to the same decomposition file when they have identical bulk composition:
+
+   .. code-block:: yaml
+
+       fuels:
+         fuel_1:
+           decomp_name: fuel_decomp_1_and_2
+         
+         fuel_2:
+           decomp_name: fuel_decomp_1_and_2
diff --git a/docs/tutorials.rst b/docs/tutorials.rst
index 99c47f3..d7c1f9a 100644
--- a/docs/tutorials.rst
+++ b/docs/tutorials.rst
@@ -7,6 +7,7 @@ This section provides tutorials on how to use the FuelLib library.
    :maxdepth: 4
 
    tutorials-basic
+   tutorials-custom-fuels
    tutorials-export-pele
    tutorials-export-converge
 
diff --git a/fuelData/dataReferences.md b/fuelData/dataReferences.md
deleted file mode 100644
index 6330140..0000000
--- a/fuelData/dataReferences.md
+++ /dev/null
@@ -1,52 +0,0 @@
-## References for fuel data
-
-# GCxGC Data
-The provided GC x GC data is for the weight % of the fuel.  
-
-## POSF Fuels
-The GCxGC data for the POSF fuels comes from the [National Jet Fuels Combustion Program](https://doi.org/10.2514/1.J055361) (NJFCP) as provided by the Air Force Research Laboratory in [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf) and [Edwards (2017)](https://doi.org/10.2514/6.2017-0146):
-* gcData/posf4658_init.csv (from Appendix D [Edwards (2017)](https://doi.org/10.2514/6.2017-0146))
-* gcData/posf10264_init.csv
-* gcData/posf10289_init.csv
-* gcData/posf10325_init.csv
-* gcData/posf11498_init.csv
-
-## HEFA:Jet-A Blends
-GCxGC data for HEFA fuels produced from different feedstocks (camelina, tallow, and mixed fat) courtesy of [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787). Note that these can be blended with Jet-A to reproduce the density and viscosity measurement data from that paper:
-* gcData/hefa-came.csv
-* gcData/hefa-tall.csv
-* gcData/hefa-mfat.csv
-* gcData/jet-a.csv
-
-# Group Decomposition Data
-
-## POSF Fuels
-The decompositions of each compound into its functional groups for the POSF fuels originated from [Govindaraju & Ihme (2016)](https://doi.org/10.1016/j.ijheatmasstransfer.2016.06.079), but have been updated for additional accuracy and to include the specific reference compounds used:
-* groupDecompositionData/posf4658.csv
-* groupDecompositionData/posf10264.csv
-* groupDecompositionData/posf10289.csv
-* groupDecompositionData/posf10325.csv
-* groupDecompositionData/posf11498.csv
-
-## HEFA:Jet-A Blends
-The group decompositions of the HEFA and Jet-A from [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787) have been derived from the `posf10325` decomposition:
-* groupDecompositionData/hefa.csv
-* groupDecompositionData/jet-a.csv
-
-# Fuel Properties Data
-## Single Component Fuels
-The properties data for the single component fuels is from [NIST WebBook](https://webbook.nist.gov/chemistry/):
-* propertiesData/decane-NIST.csv
-* propertiesData/dodecane-NIST.csv
-* propertiesData/heptane-NIST.csv
-
-## POSF Fuels
-The properties data for POSF fuels is from the AFRL [Edwards (2017)](https://doi.org/10.2514/6.2017-0146) and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf):
-* propertiesData/posf10264.csv
-* propertiesData/posf10289.csv
-* propertiesData/posf10325.csv
-* propertiesData/posf11498.csv
-
-## HEFA:Jet-A Blends
-The properties data for the HEFA:Jet-A blends are from [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787) 
-* propertiesData/hefa-jet-a-blends.csv
\ No newline at end of file
diff --git a/fuelData/gcData/decane_init.csv b/fuelData/gcData/decane_init.csv
deleted file mode 100644
index b0d0709..0000000
--- a/fuelData/gcData/decane_init.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Compound,Weight %
-NC10H22,100
\ No newline at end of file
diff --git a/fuelData/gcData/dodecane_init.csv b/fuelData/gcData/dodecane_init.csv
deleted file mode 100644
index a9a068e..0000000
--- a/fuelData/gcData/dodecane_init.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Compound,Weight %
-NC12H26,100
\ No newline at end of file
diff --git a/fuelData/gcData/hefa-came_init.csv b/fuelData/gcData/hefa-came_init.csv
deleted file mode 100644
index 527882a..0000000
--- a/fuelData/gcData/hefa-came_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0
-C2-Benzene,ethyl benzene ,C6H5C2H5,0.01
-C3-Benzene,propyl benzene,C6H5C3H7,0.02
-C4-Benzene,butyl benzene,C6H5C4H9,0
-C5-Benzene,pentyl benzene,C6H5C5H11,0
-C6-Benzene,hexyl benzene,C6H5C6H13,0
-C7-Benzene,heptyl benzene,C6H5C7H15,0
-C8-Benzene,octyl benzene,C6H5C8H17,0
-C9-Benzene,nonyl benzene,C6H5C9H19,0
-Diaromatic-C10,naphthalene,NAPH,0
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
-Cycloaromatic-C09,indane,INDANE,0
-Cycloaromatic-C10,tetralin,TETRA,0
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0
-C08-Isoparaffin,2-methyl heptane,C8H18-2,1.51
-C09-Isoparaffin,2-methyl octane,C9H20-2,11.09
-C10-Isoparaffin,2-methyl nonane,C10H22-2,11.1
-C11-Isoparaffin,2-methyl decane,C11H24-2,9.62
-C12-Isoparaffin,2-methyl undecane,C12H26-2,8.27
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,8.33
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,6.39
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,5.42
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,2.14
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,21.58
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,4.71
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.83
-n-C09,n-nonane,NC9H20,1.92
-n-C10,n-decane,NC10H22,1.4
-n-C11,n-undecane,NC11H24,0.84
-n-C12,n-dodecane,NC12H26,0.59
-n-C13,n-tridecane,NC13H28,0.49
-n-C14,n-tetradecane,NC14H30,0.23
-n-C15,n-pentadecane,NC15H32,0.46
-n-C16,n-hexadecane (cetane),NC16H34,0.2
-n-C17,n-heptadecane,NC17H36,0.12
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.1
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,1.94
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.52
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.15
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.04
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.01
-C10-Dicycloparaffin,Decalin,DECALIN,0
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuelData/gcData/hefa-mfat_init.csv b/fuelData/gcData/hefa-mfat_init.csv
deleted file mode 100644
index 2c196c9..0000000
--- a/fuelData/gcData/hefa-mfat_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.01
-C2-Benzene,ethyl benzene ,C6H5C2H5,0
-C3-Benzene,propyl benzene,C6H5C3H7,0.01
-C4-Benzene,butyl benzene,C6H5C4H9,0
-C5-Benzene,pentyl benzene,C6H5C5H11,0
-C6-Benzene,hexyl benzene,C6H5C6H13,0
-C7-Benzene,heptyl benzene,C6H5C7H15,0
-C8-Benzene,octyl benzene,C6H5C8H17,0
-C9-Benzene,nonyl benzene,C6H5C9H19,0
-Diaromatic-C10,naphthalene,NAPH,0
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
-Cycloaromatic-C09,indane,INDANE,0
-Cycloaromatic-C10,tetralin,TETRA,0
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.01
-C08-Isoparaffin,2-methyl heptane,C8H18-2,1.77
-C09-Isoparaffin,2-methyl octane,C9H20-2,3.65
-C10-Isoparaffin,2-methyl nonane,C10H22-2,6.69
-C11-Isoparaffin,2-methyl decane,C11H24-2,10.33
-C12-Isoparaffin,2-methyl undecane,C12H26-2,12.37
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,11.54
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,13.98
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,4.29
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,20.73
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.29
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,3.44
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.54
-n-C09,n-nonane,NC9H20,1
-n-C10,n-decane,NC10H22,1.42
-n-C11,n-undecane,NC11H24,1.36
-n-C12,n-dodecane,NC12H26,1.44
-n-C13,n-tridecane,NC13H28,0.87
-n-C14,n-tetradecane,NC14H30,1.67
-n-C15,n-pentadecane,NC15H32,0.18
-n-C16,n-hexadecane (cetane),NC16H34,0.7
-n-C17,n-heptadecane,NC17H36,0.01
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.07
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.76
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.41
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.27
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.14
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0.02
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0.01
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0
-C10-Dicycloparaffin,Decalin,DECALIN,0
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuelData/gcData/hefa-tall_init.csv b/fuelData/gcData/hefa-tall_init.csv
deleted file mode 100644
index 75bebde..0000000
--- a/fuelData/gcData/hefa-tall_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0
-C2-Benzene,ethyl benzene ,C6H5C2H5,0
-C3-Benzene,propyl benzene,C6H5C3H7,0
-C4-Benzene,butyl benzene,C6H5C4H9,0
-C5-Benzene,pentyl benzene,C6H5C5H11,0
-C6-Benzene,hexyl benzene,C6H5C6H13,0
-C7-Benzene,heptyl benzene,C6H5C7H15,0
-C8-Benzene,octyl benzene,C6H5C8H17,0
-C9-Benzene,nonyl benzene,C6H5C9H19,0
-Diaromatic-C10,naphthalene,NAPH,0
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
-Cycloaromatic-C09,indane,INDANE,0
-Cycloaromatic-C10,tetralin,TETRA,0
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.06
-C09-Isoparaffin,2-methyl octane,C9H20-2,6.13
-C10-Isoparaffin,2-methyl nonane,C10H22-2,12.14
-C11-Isoparaffin,2-methyl decane,C11H24-2,12.6
-C12-Isoparaffin,2-methyl undecane,C12H26-2,13.52
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,12.69
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,8.75
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,21.74
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,4.13
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.1
-n-C09,n-nonane,NC9H20,1.84
-n-C10,n-decane,NC10H22,1.69
-n-C11,n-undecane,NC11H24,1.33
-n-C12,n-dodecane,NC12H26,1.12
-n-C13,n-tridecane,NC13H28,0.86
-n-C14,n-tetradecane,NC14H30,0.56
-n-C15,n-pentadecane,NC15H32,0.32
-n-C16,n-hexadecane (cetane),NC16H34,0
-n-C17,n-heptadecane,NC17H36,0
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.22
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.18
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.02
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.01
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0
-C10-Dicycloparaffin,Decalin,DECALIN,0
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuelData/gcData/heptane-decane_init.csv b/fuelData/gcData/heptane-decane_init.csv
deleted file mode 100644
index 70680b1..0000000
--- a/fuelData/gcData/heptane-decane_init.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-Compound,Weight %
-NC7H16,73.75
-NC10H22,26.25
\ No newline at end of file
diff --git a/fuelData/gcData/heptane_init.csv b/fuelData/gcData/heptane_init.csv
deleted file mode 100644
index d57c668..0000000
--- a/fuelData/gcData/heptane_init.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Compound,Weight %
-NC7H16,100
\ No newline at end of file
diff --git a/fuelData/gcData/jet-a_init.csv b/fuelData/gcData/jet-a_init.csv
deleted file mode 100644
index 07d4e30..0000000
--- a/fuelData/gcData/jet-a_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.07
-C2-Benzene,ethyl benzene ,C6H5C2H5,1.79
-C3-Benzene,propyl benzene,C6H5C3H7,4.54
-C4-Benzene,butyl benzene,C6H5C4H9,3.27
-C5-Benzene,pentyl benzene,C6H5C5H11,2.73
-C6-Benzene,hexyl benzene,C6H5C6H13,1.76
-C7-Benzene,heptyl benzene,C6H5C7H15,0.98
-C8-Benzene,octyl benzene,C6H5C8H17,0.47
-C9-Benzene,nonyl benzene,C6H5C9H19,0.15
-Diaromatic-C10,naphthalene,NAPH,0.11
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.44
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.63
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.51
-Cycloaromatic-C09,indane,INDANE,0.14
-Cycloaromatic-C10,tetralin,TETRA,0.45
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,2.43
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,2.21
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,1.46
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.42
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.01
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.31
-C09-Isoparaffin,2-methyl octane,C9H20-2,4.12
-C10-Isoparaffin,2-methyl nonane,C10H22-2,6.63
-C11-Isoparaffin,2-methyl decane,C11H24-2,5.02
-C12-Isoparaffin,2-methyl undecane,C12H26-2,3.21
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,2.95
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,2.39
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,1.66
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.87
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.19
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.08
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.67
-n-C09,n-nonane,NC9H20,4.42
-n-C10,n-decane,NC10H22,4.73
-n-C11,n-undecane,NC11H24,3.44
-n-C12,n-dodecane,NC12H26,2.49
-n-C13,n-tridecane,NC13H28,1.93
-n-C14,n-tetradecane,NC14H30,1.31
-n-C15,n-pentadecane,NC15H32,0.79
-n-C16,n-hexadecane (cetane),NC16H34,0.38
-n-C17,n-heptadecane,NC17H36,0.09
-n-C18,n-octadecane,NC18H38,0.02
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.19
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,5.81
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,5.26
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.58
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,2.82
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,2.5
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,1.53
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0.65
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0.02
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.86
-C09-Dicycloparaffin,Hydrindane,HYDRIND,1.21
-C10-Dicycloparaffin,Decalin,DECALIN,1.05
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.8
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.27
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.09
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuelData/gcData/posf10264_init.csv b/fuelData/gcData/posf10264_init.csv
deleted file mode 100644
index 6b89316..0000000
--- a/fuelData/gcData/posf10264_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.25
-C2-Benzene,ethyl benzene ,C6H5C2H5,1.98
-C3-Benzene,propyl benzene,C6H5C3H7,4.17
-C4-Benzene,butyl benzene,C6H5C4H9,2.33
-C5-Benzene,pentyl benzene,C6H5C5H11,1.19
-C6-Benzene,hexyl benzene,C6H5C6H13,0.66
-C7-Benzene,heptyl benzene,C6H5C7H15,0.25
-C8-Benzene,octyl benzene,C6H5C8H17,0.12
-C9-Benzene,nonyl benzene,C6H5C9H19,0.06
-Diaromatic-C10,naphthalene,NAPH,0.10
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.33
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.41
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.22
-Cycloaromatic-C09,indane,INDANE,0.02
-Cycloaromatic-C10,tetralin,TETRA,0.19
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.37
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.38
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.34
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.19
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.21
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.88
-C09-Isoparaffin,2-methyl octane,C9H20-2,2.59
-C10-Isoparaffin,2-methyl nonane,C10H22-2,8.15
-C11-Isoparaffin,2-methyl decane,C11H24-2,8.38
-C12-Isoparaffin,2-methyl undecane,C12H26-2,5.41
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,4.63
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,3.96
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.28
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.75
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.20
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.03
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.00
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.00
-n-C07,n-heptane,NC7H16,0.24
-n-C08,n-octane,NC8H18,1.11
-n-C09,n-nonane,NC9H20,2.97
-n-C10,n-decane,NC10H22,6.46
-n-C11,n-undecane,NC11H24,5.22
-n-C12,n-dodecane,NC12H26,3.99
-n-C13,n-tridecane,NC13H28,2.97
-n-C14,n-tetradecane,NC14H30,1.97
-n-C15,n-pentadecane,NC15H32,0.83
-n-C16,n-hexadecane (cetane),NC16H34,0.23
-n-C17,n-heptadecane,NC17H36,0.06
-n-C18,n-octadecane,NC18H38,0.00
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.51
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,1.01
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,3.06
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.47
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,3.55
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,2.45
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,2.25
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,1.19
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0.77
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.11
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.02
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.35
-C10-Dicycloparaffin,Decalin,DECALIN,0.47
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.71
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.77
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.52
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.45
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.08
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.11
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuelData/gcData/posf10289_init.csv b/fuelData/gcData/posf10289_init.csv
deleted file mode 100644
index c4092b1..0000000
--- a/fuelData/gcData/posf10289_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.03
-C2-Benzene,ethyl benzene ,C6H5C2H5,0.41
-C3-Benzene,propyl benzene,C6H5C3H7,1.32
-C4-Benzene,butyl benzene,C6H5C4H9,2.09
-C5-Benzene,pentyl benzene,C6H5C5H11,1.98
-C6-Benzene,hexyl benzene,C6H5C6H13,1.80
-C7-Benzene,heptyl benzene,C6H5C7H15,1.24
-C8-Benzene,octyl benzene,C6H5C8H17,1.05
-C9-Benzene,nonyl benzene,C6H5C9H19,0.42
-Diaromatic-C10,naphthalene,NAPH,0.09
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.33
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.60
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.33
-Cycloaromatic-C09,indane,INDANE,0.03
-Cycloaromatic-C10,tetralin,TETRA,0.57
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,1.91
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,2.67
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,2.27
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,1.22
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.02
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.13
-C09-Isoparaffin,2-methyl octane,C9H20-2,0.48
-C10-Isoparaffin,2-methyl nonane,C10H22-2,1.66
-C11-Isoparaffin,2-methyl decane,C11H24-2,2.73
-C12-Isoparaffin,2-methyl undecane,C12H26-2,3.36
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,3.57
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,3.54
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.70
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.65
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.08
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.00
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.00
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.00
-n-C07,n-heptane,NC7H16,0.02
-n-C08,n-octane,NC8H18,0.19
-n-C09,n-nonane,NC9H20,0.64
-n-C10,n-decane,NC10H22,1.41
-n-C11,n-undecane,NC11H24,2.60
-n-C12,n-dodecane,NC12H26,3.09
-n-C13,n-tridecane,NC13H28,2.50
-n-C14,n-tetradecane,NC14H30,1.92
-n-C15,n-pentadecane,NC15H32,0.86
-n-C16,n-hexadecane (cetane),NC16H34,0.11
-n-C17,n-heptadecane,NC17H36,0.01
-n-C18,n-octadecane,NC18H38,0.00
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.08
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.35
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,1.53
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,3.25
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,5.77
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,6.25
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,6.11
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,4.22
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,2.27
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.41
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.01
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.46
-C10-Dicycloparaffin,Decalin,DECALIN,1.04
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,2.84
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,4.33
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,4.53
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,3.14
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.67
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.10
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuelData/gcData/posf10325_init.csv b/fuelData/gcData/posf10325_init.csv
deleted file mode 100644
index 7bd11cf..0000000
--- a/fuelData/gcData/posf10325_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.17
-C2-Benzene,ethyl benzene ,C6H5C2H5,1.10
-C3-Benzene,propyl benzene,C6H5C3H7,2.97
-C4-Benzene,butyl benzene,C6H5C4H9,3.32
-C5-Benzene,pentyl benzene,C6H5C5H11,2.22
-C6-Benzene,hexyl benzene,C6H5C6H13,1.45
-C7-Benzene,heptyl benzene,C6H5C7H15,0.73
-C8-Benzene,octyl benzene,C6H5C8H17,0.52
-C9-Benzene,nonyl benzene,C6H5C9H19,0.42
-Diaromatic-C10,naphthalene,NAPH,0.22
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.66
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.86
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.60
-Cycloaromatic-C09,indane,INDANE,0.02
-Cycloaromatic-C10,tetralin,TETRA,0.26
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.66
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.89
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.85
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.61
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.15
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.44
-C09-Isoparaffin,2-methyl octane,C9H20-2,1.05
-C10-Isoparaffin,2-methyl nonane,C10H22-2,4.20
-C11-Isoparaffin,2-methyl decane,C11H24-2,5.70
-C12-Isoparaffin,2-methyl undecane,C12H26-2,5.63
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,4.22
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,4.20
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.51
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.00
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.39
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.11
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.03
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.03
-n-C07,n-heptane,NC7H16,0.17
-n-C08,n-octane,NC8H18,0.54
-n-C09,n-nonane,NC9H20,1.42
-n-C10,n-decane,NC10H22,3.26
-n-C11,n-undecane,NC11H24,4.29
-n-C12,n-dodecane,NC12H26,3.74
-n-C13,n-tridecane,NC13H28,2.80
-n-C14,n-tetradecane,NC14H30,2.02
-n-C15,n-pentadecane,NC15H32,1.03
-n-C16,n-hexadecane (cetane),NC16H34,0.43
-n-C17,n-heptadecane,NC17H36,0.21
-n-C18,n-octadecane,NC18H38,0.06
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.36
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.78
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,2.30
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.11
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,5.43
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,3.73
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,4.19
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,2.19
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.33
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.42
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.24
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.43
-C10-Dicycloparaffin,Decalin,DECALIN,0.72
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,1.52
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,1.57
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,1.21
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.81
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.27
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.16
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuelData/gcData/posf11498_init.csv b/fuelData/gcData/posf11498_init.csv
deleted file mode 100644
index fd876d2..0000000
--- a/fuelData/gcData/posf11498_init.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.02
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.61
-C09-Isoparaffin,2-methyl octane,C9H20-2,0.17
-C10-Isoparaffin,2-methyl nonane,C10H22-2,0.22
-C11-Isoparaffin,2-methyl decane,C11H24-2,0.52
-C12-Isoparaffin,2-methyl undecane,C12H26-2,78.28
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,1.23
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,0.53
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,16.25
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,1.69
-C24-Isoparaffin,2-methyltricosane,C24H50-2,0.12
-C12-Alkene,1-dodecene,DODECENE-1,0.08
-C16-Alkene,1-hexadecene,HEXADECENE-1,0.24
\ No newline at end of file
diff --git a/fuelData/gcData/posf4658_init.csv b/fuelData/gcData/posf4658_init.csv
deleted file mode 100644
index 2f1d77b..0000000
--- a/fuelData/gcData/posf4658_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.16
-C2-Benzene,ethyl benzene,C6H5C2H5,0.78
-C3-Benzene,propyl benzene,C6H5C3H7,2.24
-C4-Benzene,butyl benzene,C6H5C4H9,3.02
-C5-Benzene,pentyl benzene,C6H5C5H11,2.48
-C6-Benzene,hexyl benzene,C6H5C6H13,1.93
-C7-Benzene,heptyl benzene,C6H5C7H15,1.19
-C8-Benzene,octyl benzene,C6H5C8H17,0.89
-C9-Benzene,nonyl benzene,C6H5C9H19,1.00
-Diaromatic-C10,naphthalene,NAPH,0.12
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.42
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.60
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.63
-Cycloaromatic-C09,indane,INDANE,0.04
-Cycloaromatic-C10,tetralin,TETRA,0.43
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,1.13
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,1.63
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,1.45
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,1.12
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.23
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.56
-C09-Isoparaffin,2-methyl octane,C9H20-2,1.08
-C10-Isoparaffin,2-methyl nonane,C10H22-2,3.59
-C11-Isoparaffin,2-methyl decane,C11H24-2,5.12
-C12-Isoparaffin,2-methyl undecane,C12H26-2,5.31
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,5.25
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,4.44
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,3.10
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.66
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.69
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.19
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.08
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.02
-n-C07,n-heptane,NC7H16,0.15
-n-C08,n-octane,NC8H18,0.54
-n-C09,n-nonane,NC9H20,1.14
-n-C10,n-decane,NC10H22,2.55
-n-C11,n-undecane,NC11H24,3.62
-n-C12,n-dodecane,NC12H26,3.70
-n-C13,n-tridecane,NC13H28,2.86
-n-C14,n-tetradecane,NC14H30,2.17
-n-C15,n-pentadecane,NC15H32,1.28
-n-C16,n-hexadecane (cetane),NC16H34,0.61
-n-C17,n-heptadecane,NC17H36,0.27
-n-C18,n-octadecane,NC18H38,0.07
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.20
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.69
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,1.67
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,3.26
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,4.11
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,4.07
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,3.65
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,2.43
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.55
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.64
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.37
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.02
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.29
-C10-Dicycloparaffin,Decalin,DECALIN,0.43
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,1.26
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,1.22
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,1.42
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.82
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.26
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.05
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/decane.csv b/fuelData/groupDecompositionData/decane.csv
deleted file mode 100644
index b531635..0000000
--- a/fuelData/groupDecompositionData/decane.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-NC10H22,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/dodecane.csv b/fuelData/groupDecompositionData/dodecane.csv
deleted file mode 100644
index aef9ba0..0000000
--- a/fuelData/groupDecompositionData/dodecane.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-NC12H26,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/hefa.csv b/fuelData/groupDecompositionData/hefa.csv
deleted file mode 100644
index 53b4bfd..0000000
--- a/fuelData/groupDecompositionData/hefa.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin (lower put as same),3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/heptane-decane.csv b/fuelData/groupDecompositionData/heptane-decane.csv
deleted file mode 100644
index cf6d35b..0000000
--- a/fuelData/groupDecompositionData/heptane-decane.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-NC7H16,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-NC10H22,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/heptane.csv b/fuelData/groupDecompositionData/heptane.csv
deleted file mode 100644
index 12251cc..0000000
--- a/fuelData/groupDecompositionData/heptane.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-NC7H16,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/jet-a.csv b/fuelData/groupDecompositionData/jet-a.csv
deleted file mode 100644
index b0216f6..0000000
--- a/fuelData/groupDecompositionData/jet-a.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/posf10264.csv b/fuelData/groupDecompositionData/posf10264.csv
deleted file mode 100644
index b0216f6..0000000
--- a/fuelData/groupDecompositionData/posf10264.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/posf10289.csv b/fuelData/groupDecompositionData/posf10289.csv
deleted file mode 100644
index b0216f6..0000000
--- a/fuelData/groupDecompositionData/posf10289.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/posf10325.csv b/fuelData/groupDecompositionData/posf10325.csv
deleted file mode 100644
index b0216f6..0000000
--- a/fuelData/groupDecompositionData/posf10325.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/posf11498.csv b/fuelData/groupDecompositionData/posf11498.csv
deleted file mode 100644
index c598988..0000000
--- a/fuelData/groupDecompositionData/posf11498.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C24-Isoparaffin,3,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Alkene,1,9,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Alkene,1,13,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/posf4658.csv b/fuelData/groupDecompositionData/posf4658.csv
deleted file mode 100644
index b0216f6..0000000
--- a/fuelData/groupDecompositionData/posf4658.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/groupDecompositionData/refCompounds.csv b/fuelData/groupDecompositionData/refCompounds.csv
deleted file mode 100755
index acbb91d..0000000
--- a/fuelData/groupDecompositionData/refCompounds.csv
+++ /dev/null
@@ -1,90 +0,0 @@
-Compound,CH3 (1),CH2 (2),CH (3),C (4),CH2=CH (1),CH=CH (2),CH2=C (2),CH=C (3),C=C (4),CH2=C=CH(1),ACH (2),AC (3),ACCH3 (2),ACCH2 (3),ACCH (4),OH (1),ACOH (2),CH3CO (1),CH2CO (2),CHO (1)*,CH3COO (1),CH2COO (2),HCOO (1),CH30 (1),CH20 (2),CH-O (3),FCH20 (1)*,CH2NH2 (1),CHNH2 (2),CH3NH (2),CH2NH (3),CHNH (4)*,CH3N (2),CH2N (3),ACNH2 (2),C5H4N (1),C5H3N (2),CH2CN (1)*,COOH (1),CH2C1 (1),CHC1 (2),CC1 (3),CHC12 (1)*,CC13 (1),CC12 (2),ACC1 (2),CH2N02 (1)*,CHN02 (2)*,ACN02 (2)*,CH2SH (1),C1(1)*,Br (1),CH≡C (1),C≡C (2)*,Cl—(C=C) (3)*,ACF (2),HCON(CH2)2 (2)*,CF3 (1),CF2 (2),CF (3),COO (2),CC12F (1),HCC1F (1),CC1F2 (1),FSpecial (1),CONH2 (1)*,CONHCH3 (1)*,CONHCH2 (1)*,CON(CH3)2 (1)*,CONCH2CH2 (3)*,CON(CH2)2 (3)*,C2H502 (1)*,C2H402 (2),CH3S (1),CH2S (2),CHS (3)*,C4H3S (1),C4H2S (2)*,Group j  (CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CR=CRm—CRp=CRk m, p G (0,1), K n G (0,2)","CH3-CHm=CH, m G (0,1), n G (0,2)","CH2-CHm=CH, m G (0,1), n G (0,2)","CH—CUm=CUn or C—CHm=CH/ m G (0,1), n G (0,2)",Alicyclic side-chain CcyclicCm m > 1,ch3ch3,CHCHO or CCHO*,CH3COCH2,CH3COCH or CH3COC,Ccyclic^=0,ACCHO*,CHCOOH or CCOOH*,ACCOOH*,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO*, CO—O—CO,ACCOO*,CHOH,COH,CHm(OH)CHn(OH),CHm cyclic-OH,CHn(OH)CHm(NHp),CHm(NH2)CHn(NH2)*,CHm cyclic—NHp—CHn cyclic*,CHnOCHm
CHp*,AC—O—CHm*,CHm cyclic—S—CHn cyclic,CHn
CHm—F,CHn
CHm—Br*,CHn
CHm—I*,ACBr*,ACI*,CHm(NH2)—COOH*
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Benzene,1,8,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C14,1,2,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C15,1,5,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C21-Isoparaffin,3,17,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C22-Isoparaffin,3,18,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C23-Isoparaffin,3,19,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C24-Isoparaffin,3,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C19,2,17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C20,2,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C21,2,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C22,2,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C23,2,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Monocycloparaffin,1,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Monocycloparaffin,1,17,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Dicycloparaffin,1,12,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Dicycloparaffin,1,13,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Tricycloparaffin,0,9,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Tricycloparaffin,0,10,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Alkene,1,7,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Alkene,1,9,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Alkene,1,11,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Alkene,1,13,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuelData/propertiesData/decane.csv b/fuelData/propertiesData/decane.csv
deleted file mode 100644
index 2f9f9af..0000000
--- a/fuelData/propertiesData/decane.csv
+++ /dev/null
@@ -1,37 +0,0 @@
-Temperature,Density,Viscosity,VaporPressure,DynamicViscosity,SurfaceTension,ThermalConductivity
-C,g/cm^3,mm^2/s,kPa,Pa*s,N/m,W/m/K
--29.65,0.76929,3.167726085,,0.0024369,0.0285,
--23.15,,,,,0.0279,
--19.65,0.76138,2.503349182,0.00393,0.001906,,
--13.15,,,,,0.0269,
--9.65,0.75352,2.038034823,0.00792,0.0015357,,
--9.55,,,,,,0.1386
--3.15,,,,,0.026,0.1369
-0.35,0.7457,1.698404184,0.02,0.0012665,,
-6.85,,,,,0.025,0.13421
-10.35,0.73791,1.442452332,0.0466,0.0010644,,
-16.85,,,,,0.0241,0.13157
-20.35,0.73014,1.244487359,0.1014,0.00090865,,
-26.85,,,,,0.0232,0.12896
-30.35,0.72237,1.088015837,0.2071,0.00078595,,
-36.85,,,,,0.0223,0.12638
-40.35,0.71459,0.962062162,0.3998,0.00068748,,
-46.85,,,,,0.0214,0.12383
-50.35,0.7068,0.85901245,0.734,0.00060715,,
-56.85,,,,,0.0205,0.12132
-60.35,0.69898,0.77352714,1.288,0.00054068,,
-66.85,,,,,0.0196,0.11884
-70.35,0.69112,0.701716055,2.17,0.00048497,,
-76.85,,,,,0.0187,0.1164
-80.35,0.68321,0.640740036,3.524,0.00043776,,
-86.85,,,,,0.0178,0.11399
-90,,,5.534,,,
-96.85,,,,,0.0169,0.11163
-100,,,8.431,,,
-106.85,,,,,0.0161,0.1093
-110,,,12.495,,,
-116.85,,,,,0.0152,0.107
-120,,,18.06,,0.015,
-126.85,,,,,,0.1048
-136.85,,,,,,0.1026
-140,,,,,,0.1019
\ No newline at end of file
diff --git a/fuelData/propertiesData/dodecane.csv b/fuelData/propertiesData/dodecane.csv
deleted file mode 100644
index cb98737..0000000
--- a/fuelData/propertiesData/dodecane.csv
+++ /dev/null
@@ -1,33 +0,0 @@
-Temperature,Density,Viscosity,VaporPressure,DynamicViscosity,Cp,SurfaceTension,ThermalConductivity
-C,g/cm^3,mm^2/s,kPa,Pa*s,J/mol/K,N/m,W/m/K
--9.55,0.77153,3.754358223,0.000626,0.0028966,359.85,0.0279,0.14393
--3.15,,,,,,0.0274,0.14227
-0.45,0.76401,2.938704991,,0.0022452,364.29,,
-6.85,,,0.00349,,,0.0265,0.13972
-10.45,0.75653,2.376244167,,0.0017977,369.15,,
-16.85,,,,,,0.0256,0.13724
-20.45,0.7491,1.970497931,,0.0014761,374.36,,
-26.85,,,0.0208,,,0.0248,0.13482
-30.45,0.7417,1.667520561,,0.0012368,379.87,0.0239,0.13245
-40.45,0.73431,1.43495254,,0.0010537,385.64,,
-46.85,,,0.0947,,,0.023,0.13014
-50.45,0.72692,1.252187311,,0.00091024,391.64,,
-56.85,,,,,,0.0221,0.12786
-60.45,0.71953,1.105680097,,0.00079557,397.82,,
-66.85,,,0.346,,,0.0212,0.12562
-70.45,0.71212,0.986210189,,0.0007023,404.16,,
-76.85,,,,,,0.0203,0.12343
-80.45,0.70468,0.887296361,,0.00062526,410.63,,
-86.85,,,1.056,,,0.0194,0.12126
-90.45,0.69719,0.804285776,,0.00056074,417.21,,
-96.85,,,,,,0.0185,0.11912
-100.45,0.68966,0.733723864,,0.00050602,423.89,,
-106.85,,,2.783,,,0.0177,0.11701
-110.45,,,,,,,
-116.85,,,,,,0.0168,0.11492
-120.45,,,,,,,
-126.85,,,6.489,,,0.0159,0.11286
-130.45,,,,,,,
-136.85,,,,,,0.0151,0.11081
-140,,,10.7,,,0.0148,0.11017
-140.45,,,,,,,
\ No newline at end of file
diff --git a/fuelData/propertiesData/hefa-jet-a-blends.csv b/fuelData/propertiesData/hefa-jet-a-blends.csv
deleted file mode 100644
index fb759c6..0000000
--- a/fuelData/propertiesData/hefa-jet-a-blends.csv
+++ /dev/null
@@ -1,10 +0,0 @@
-HEFA_concentration,Viscosity_TALL,Viscosity_CAME,Viscosity_MFAT,Density_TALL,Density_CAME,Density_MFAT
-wt percentage,mm2/s at -20 C,mm2/s at -20 C,mm2/s at -20 C,g/cm3 at 15 C,g/cm3 at 15 C,g/cm3 at 15 C
-0,3.781578947,3.781578947,3.781578947,0.8057,0.8057,0.8057
-10,3.889473684,3.884210526,3.947368421,0.8009,0.8012,0.8007
-20,3.963157895,3.989473684,4.097368421,0.7961,0.7966,0.7966
-30,4.05,4.118421053,4.247368421,0.7904,0.7922,0.7924
-40,4.165789474,4.226315789,4.431578947,0.7861,0.7874,0.7877
-50,4.276315789,4.365789474,4.581578947,0.7814,0.7828,0.7834
-60,4.394736842,4.513157895,4.781578947,0.7769,0.7783,0.779
-100,4.973684211,5.2,5.618421053,0.7573,0.7598,0.7612
\ No newline at end of file
diff --git a/fuelData/propertiesData/heptane.csv b/fuelData/propertiesData/heptane.csv
deleted file mode 100644
index 45d575b..0000000
--- a/fuelData/propertiesData/heptane.csv
+++ /dev/null
@@ -1,39 +0,0 @@
-Temperature,Density,Viscosity,VaporPressure,DynamicViscosity,SurfaceTension,ThermalConductivity
-C,g/cm^3,mm^2/s,kPa,Pa*s,N/m,W/m/K
--60,0.75019,1.937642464,,0.0014536,,
--50,0.74191,1.570136539,,0.0011649,,
--40,0.73366,1.307472126,,0.00095924,,
--30,0.72543,1.111933612,,0.00080663,,
--20,0.71718,0.961571711,0.39,0.00068962,,
--10,0.70892,0.842859561,0.644,0.00059752,,
--9.55,,,,,0.0237,0.14005
--3.15,,,,,0.023,0.13843
-0,0.70062,0.747109703,1.25,0.00052344,,
-6.85,,,,,0.022,0.13588
-10,0.69226,0.668491607,2.293,0.00046277,,
-16.85,,,,,0.0209,0.13331
-20,0.68385,0.602895372,4,0.00041229,,
-26.85,,,,,0.0198,0.13075
-30,0.67534,0.547457577,6.67,0.00036972,,
-36.85,,,,,0.0188,0.1282
-40,0.66674,0.500044995,10.7,0.0003334,,
-46.85,,,,,0.0178,0.12567
-50,0.65803,0.459082413,16.56,0.00030209,,
-56.85,,,,,0.0167,0.12316
-60,0.64918,0.423349456,24.83,0.00027483,,
-66.85,,,,,0.0157,0.12068
-70,,,36.18,,,
-76.85,,,,,0.0148,0.11823
-80,,,51.37,,,
-86.85,,,,,0.0138,0.11581
-90,,,71.28,,,
-96.85,,,,,0.0128,0.11342
-100,,,96.84,,,
-106.85,,,,,0.0119,0.11107
-110,,,129.1,,,
-116.85,,,,,0.011,0.10873
-120,,,169.2,,,
-126.85,,,,,0.01,0.10643
-130,,,,,,
-136.85,,,,,0.00915,0.10414
-140,,,,,0.00888,0.10342
\ No newline at end of file
diff --git a/fuelData/propertiesData/posf10264.csv b/fuelData/propertiesData/posf10264.csv
deleted file mode 100644
index b8b99df..0000000
--- a/fuelData/propertiesData/posf10264.csv
+++ /dev/null
@@ -1,22 +0,0 @@
-Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity,HeatCapacity
-C,g/cm^3,kPa,mm^2/s,N/m,W/m/K,kJ/kg/K
--40,0.822975,,6.6,,,
--20,0.8086,,3.5,,,
--10,,,,0.025842439,,2.018461485
-0,0.794225,0.04835033,,,0.129038462,2.047461358
-10,,,,,,2.07898547
-20,0.77985,0.628554285,,0.023836238,,2.11025023
-30,,,,,0.124038462,2.13774594
-40,0.765283333,1.402159558,1.14,0.022833667,0.12,2.18032366
-50,,,,,,2.21013612
-60,,3.432873401,,,0.116153846,2.24866239
-70,,,,,,2.28799548
-80,,7.397600428,,,,2.32905174
-90,,,,,,2.36824652
-100,,14.60179954,0.61,,,2.4095333
-110,,,,,,2.44825551
-120,,26.59268128,,,,2.48820526
-130,,,,,,2.52931339
-140,,,,,,2.56860038
-150,,,,,,2.60919559
-160,,,,,,2.66087899
\ No newline at end of file
diff --git a/fuelData/propertiesData/posf10289.csv b/fuelData/propertiesData/posf10289.csv
deleted file mode 100644
index 00f5515..0000000
--- a/fuelData/propertiesData/posf10289.csv
+++ /dev/null
@@ -1,24 +0,0 @@
-Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity,HeatCapacity
-C,g/cm^3,kPa,mm^2/s,N/m,W/m/K,kJ/kg/K
--40,,,14.1,,,
--20,,,6.5,,,
--10,,,,0.02842143,,1.809232472
-0,0.838691667,0.04835033,,,,1.850945723
-10,,,,,,1.888953307
-20,0.823933333,0.338452307,,0.025727511,,1.920644544
-30,,,,,0.117980769,1.95028412
-40,0.80975,0.435152966,1.57,0.024724939,,1.988591385
-50,,,,,,2.017821782
-60,,1.305458899,,,,2.060491707
-70,,,,,,2.087007688
-75,,,,,0.108942308,
-80,,3.336172742,,,,2.131216358
-90,,,,,,2.168711027
-100,,6.382243506,0.76,,,2.21016494
-110,,,,,,2.250350972
-120,,13.77984393,,,,2.288128033
-125,,,,,0.100865385,
-130,,,,,,2.328342881
-140,,,,,,2.369145564
-150,,,,,,2.409671619
-160,,,,,,2.45891723
\ No newline at end of file
diff --git a/fuelData/propertiesData/posf10325.csv b/fuelData/propertiesData/posf10325.csv
deleted file mode 100644
index 8b40e31..0000000
--- a/fuelData/propertiesData/posf10325.csv
+++ /dev/null
@@ -1,22 +0,0 @@
-Temperature,Density,VaporPressure,Viscosity,SurfaceTension,ThermalConductivity,HeatCapacity
-C,g/cm^3,kPa,mm^2/s,N/m,W/m/K,kJ/kg/K
--40,0.843866667,,9.2,,,
--20,0.829683333,,4.5,,,
--10,,,,0.028028403,,1.88954449
-0,0.815116667,0.04835033,,,0.124230769,1.9302667
-10,,,,,,1.96006123
-20,0.8017,0.435152966,,0.024818739,0.120192308,1.98830303
-30,,,,,,2.02902524
-40,0.787325,0.821955603,1.31,0.023619632,0.116057692,2.06817277
-50,,,,,,2.11045502
-60,,2.272465491,,,0.112211538,2.14960987
-70,,,,,,2.19033207
-80,,4.931733619,,,,2.22012661
-90,,,,,,2.2514812
-100,,9.863467237,0.68,,,2.29063604
-120,,18.75992788,,,,2.32043789
-130,,,,,,2.3705204
-140,,,,,,2.41279534
-150,,,,,,2.4519575
-160,,,,,,2.49110503
-,,,,,,2.54118754
\ No newline at end of file
diff --git a/fuelData/propertiesData/posf11498.csv b/fuelData/propertiesData/posf11498.csv
deleted file mode 100755
index f492040..0000000
--- a/fuelData/propertiesData/posf11498.csv
+++ /dev/null
@@ -1,22 +0,0 @@
-Temperature,Density,VaporPressure,Viscosity
-C,g/cm^3,kPa,mm^2/s
--39.78658537,,,10.41126684
--20.15243902,,,4.996496178
-0,,0.029250391,
-4.926624738,0.766266145,,
-14.98951782,0.759216842,,
-19.74128847,,0.10137713,
-25.09146341,,,1.914179104
-25.26205451,0.751886646,,
-35.11530398,0.744838516,,
-39.69930983,,0.144264166,
-40.0304878,,,1.535971059
-44.96855346,0.737790386,,
-54.82180294,0.729903095,,
-59.66534646,,0.36989935,
-64.88469602,0.722294351,,
-74.9475891,0.715245048,,
-79.41849753,,0.741743738,
-85.01048218,0.707356585,,
-99.40473264,,1.427904253,
-119.4195021,,2.764648172,
\ No newline at end of file
diff --git a/fuelData/refCompounds.csv b/fuelData/refCompounds.csv
deleted file mode 100644
index 61e8d64..0000000
--- a/fuelData/refCompounds.csv
+++ /dev/null
@@ -1,90 +0,0 @@
-GCxGC Bin,Formula,Reference Compound,PelePhysics Key
-Toluene,C7H8,toluene,C6H5CH3 
-C2-Benzene,C8H10,ethyl benzene ,C6H5C2H5 
-C3-Benzene,C9H12,propyl benzene,C6H5C3H7
-C4-Benzene,C10H14,butyl benzene,C6H5C4H9
-C5-Benzene,C11H16,pentyl benzene,C6H5C5H11
-C6-Benzene,C12H18,hexyl benzene,C6H5C6H13
-C7-Benzene,C13H20,heptyl benzene,C6H5C7H15
-C8-Benzene,C14H22,octyl benzene,C6H5C8H17
-C9-Benzene,C15H24,nonyl benzene,C6H5C9H19
-C10-Benzene,C16H26,decyl benzene,C6H5C10H21
-Diaromatic-C10,C10H8,naphthalene,NAPH
-Diaromatic-C11,C11H10,1-methyl naphthalene,METHYLNAPH-1
-Diaromatic-C12,C12H12,1-ethyl naphthalene,ETHYLNAPH-1
-Diaromatic-C13,C13H14,1-propyl naphthalene,PROPYLNAPH-1
-Diaromatic-C14,C14H16,1-butyl naphthalene,BUTYLNAPH-1
-Cycloaromatic-C09,C9H10,indane,INDANE
-Cycloaromatic-C10,C10H12,tetralin,TETRA
-Cycloaromatic-C11,C11H14,2-methyl tetralin,METHYLTETRA-2
-Cycloaromatic-C12,C12H16,2-ethly tetralin,ETHYLTETRA-2
-Cycloaromatic-C13,C13H18,2-propyl tetralin,PROPYLTETRA-2
-Cycloaromatic-C14,C14H20,2-butyl tetralin,BUTYLTETRA-2
-Cycloaromatic-C15,C15H22,2-pentyl tetralin,PENTYLTETRA-2
-C07-Isoparaffin,C7H16,2-methyl hexane,C7H16-2
-C08-Isoparaffin,C8H18,2-methyl heptane,C8H18-2 
-C09-Isoparaffin,C9H20,2-methyl octane,C9H20-2
-C10-Isoparaffin,C10H22,2-methyl nonane,C10H22-2
-C11-Isoparaffin,C11H24,2-methyl decane,C11H24-2
-C12-Isoparaffin,C12H26,2-methyl undecane,C12H26-2
-C13-Isoparaffin,C13H28,2-methyl dodecane,C13H28-2
-C14-Isoparaffin,C14H30,2-methyl tridecane,C14H30-2
-C15-Isoparaffin,C15H32,2-methyl tetradecane,C15H32-2
-C16-Isoparaffin,C16H34,2-methyl pentadecane,C16H34-2
-C17-Isoparaffin,C17H36,2-methyl hexadecane,C17H36-2
-C18-Isoparaffin,C18H38,2-methyl heptadecane,C18H38-2
-C19-Isoparaffin,C19H40,2-methyl octadecane,C19H40-2
-C20-Isoparaffin,C20H42,2-methyl nonadecane,C20H42-2
-C21-Isoparaffin,C21H44,2-methyl icosane,C21H44-2
-C22-Isoparaffin,C22H46,2-methyl henicosane,C22H46-2
-C23-Isoparaffin,C23H48,2-methyl docosane,C23H48-2
-C24-Isoparaffin,C24H50,2-methyl tricosane,C24H50-2
-n-C07,C7H16,n-heptane,NC7H16
-n-C08,C8H18,n-octane,NC8H18
-n-C09,C9H20,n-nonane,NC9H20
-n-C10,C10H22,n-decane,NC10H22
-n-C11,C11H24,n-undecane,NC11H24
-n-C12,C12H26,n-dodecane,NC12H26
-n-C13,C13H28,n-tridecane,NC13H28
-n-C14,C14H30,n-tetradecane,NC14H30
-n-C15,C15H32,n-pentadecane,NC15H32
-n-C16,C16H34,n-hexadecane,NC16H34
-n-C17,C17H36,n-heptadecane,NC17H36
-n-C18,C18H38,n-octadecane,NC18H38
-n-C19,C19H40,n-nonadecane,NC19H40
-n-C20,C20H42,n-icosane,NC20H42
-n-C21,C21H44,n-henicosane,NC21H44
-n-C22,C22H46,n-docosane,NC22H46
-n-C23,C23H48,n-tricosane,NC23H48
-C07-Monocycloparaffin,C7C14,methyl cyclohexane,C6H11CH3
-C08-Monocycloparaffin,C8H16,ethyl cyclohexane,C6H11C2H5
-C09-Monocycloparaffin,C9H18,propyl cyclohexane,C6H11C3H7
-C10-Monocycloparaffin,C10H20,butyl cyclohexane,C6H11C4H9
-C11-Monocycloparaffin,C11H22,pentyl cyclohexane,C6H11C5H11
-C12-Monocycloparaffin,C12H24,hexyl cyclohexane,C6H11C6H13
-C13-Monocycloparaffin,C13H26,heptyl cyclohexane,C6H11C7H15
-C14-Monocycloparaffin,C14H28,octyl cyclohexane,C6H11C8H17
-C15-Monocycloparaffin,C15H30,nonyl cyclohexane,C6H11C9H19
-C16-Monocycloparaffin,C16H32,decyl cyclohexane,C6H11C10H21
-C17-Monocycloparaffin,C17H34,undecyl cyclohexane,C6H11C11H23
-C18-Monocycloparaffin,C18H36,dodecyl cyclohexane,C6H11C12H25
-C19-Monocycloparaffin,C19H38,tridecyl cyclohexane,C6H11C13H27
-C08-Dicycloparaffin,C8H14,Octahydropentalene,OHPEN
-C09-Dicycloparaffin,C9H16,Hydrindane,HYDRIND
-C10-Dicycloparaffin,C10H18,Decalin,DECALIN
-C11-Dicycloparaffin,C11H20,2-methyldecalin,METHYLDECALIN-2
-C12-Dicycloparaffin,C12H22,2-ethyldecalin,ETHYLDECALIN-2
-C13-Dicycloparaffin,C13H24,2-propyldecalin,PROPYLDECALIN-2
-C14-Dicycloparaffin,C14H26,2-butyldecalin,BUTYLDECALIN-2
-C15-Dicycloparaffin,C15H28,2-pentyldecalin,PENTYLDECALIN-2
-C16-Dicycloparaffin,C16H30,2-hexyldecalin,HEXYLDECALIN-2
-C17-Dicycloparaffin,C17H32,2-heptyldecalin,HEPTYLDECALIN-2
-C10-Tricycloparaffin,C10H16,C1CC2C(C1)C1CCCC21,TRICYCLO-C10
-C11-Tricycloparaffin,C11H18,C1CC2CC3CCCC3C2C1,TRICYCLO-C11
-C12-Tricycloparaffin,C12H20,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12
-C13-Tricycloparaffin,C13H22,C1CCC2C(C1)CC1CCCCC12,TRICYCLO-C13
-C14-Tricycloparaffin,C13H22,C1CCC2CC3CCCCC3CC2C1,TRICYCLO-C14
-C10-Alkene,C10H20,1-decene,DECENE-1
-C12-Alkene,C12H24,1-dodecene,DODECENE-1
-C14-Alkene,C14H28,1-tetradecene,TETRADECENE-1
-C16-Alkene,C16H32,1-hexadecene,HEXADECENE-1
\ No newline at end of file
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 4949208..fb16ca6 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -23,6 +23,7 @@
     get_fueldata_gc_dir,
     get_fueldata_decomp_dir,
     get_fueldata_props_dir,
+    get_decomp_name_from_metadata,
 )
 
 # Physical constants
@@ -73,7 +74,8 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
 
         self.name = name
         if decompName is None:
-            decompName = name
+            # Try to get decomposition name from metadata
+            decompName = get_decomp_name_from_metadata(name, fuelDataDir)
 
         # Determine which data directories to use
         if fuelDataDir is None:
@@ -108,28 +110,81 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
         # 2: cycloparaffins
         # 3: olefins
         self.fam = np.zeros(self.num_compounds, dtype=int)
+        
+        # Classify hydrocarbon by type (n-alkane, iso-alkane, cyclo-alkane, aromatic)
+        # Based on group decompositions from Constantinou-Gani method
+        self.hc_type = np.array([''] * self.num_compounds, dtype=object)
+        
         aromatics = 10  # starting index for aromatic groups
         num_aromatics = 5
-        cyclos = 84  # starting index for membered ring groups
+        branching = 78  # starting index for branching groups (Group j (CH3)2CH through C(CH3)2C(CH3)2)
+        num_branching = 5  # groups 78-82 inclusive
+        cyclos = 83  # starting index for membered ring groups (3-7 membered rings)
         num_cyclos = 5
         olefins = 4  # starting index for double bound groups
         num_olefins = 6
+        
         for i in range(self.num_compounds):
             # Check if aromatic: does it contain AC's?
             if sum(self.Nij[i, aromatics : aromatics + num_aromatics]) > 0:
                 self.fam[i] = 1
+                self.hc_type[i] = 'aromatic'
             # Check if cycloparaffin: does it contain rings?
             elif sum(self.Nij[i, cyclos : cyclos + num_cyclos]) > 0:
                 self.fam[i] = 2
+                self.hc_type[i] = 'cyclo-alkane'
             # Check if olefin: does it contain double bonds?
             elif sum(self.Nij[i, olefins : olefins + num_olefins]) > 0:
                 self.fam[i] = 3
-
-        # Read initial liquid composition of mixture and normalize to get mass frac
+                self.hc_type[i] = 'alkene'
+            # Check for branching groups (CH, C quaternary carbons)
+            elif sum(self.Nij[i, branching : branching + num_branching]) > 0:
+                self.hc_type[i] = 'iso-alkane'
+            else:
+                # Only CH3 and CH2 -> n-alkane (linear)
+                self.hc_type[i] = 'n-alkane'
+
+        # Calculate carbon and hydrogen numbers from first-order group decomposition
+        # For jet fuels, use only alkyl (0-3) and aromatic (10-14) groups
+        # Alkyl: CH3=1C,3H; CH2=1C,2H; CH=1C,1H; C=1C,0H
+        # Aromatic: ACH=1C,1H; AC=1C,0H; ACCH3=2C,3H; ACCH2=2C,2H; ACCH=2C,1H
+        alkyl_carbons = np.array([1, 1, 1, 1])  # groups 0-3
+        alkyl_hydrogens = np.array([3, 2, 1, 0])
+        # Olefinic: group 4 appears to represent 2 carbons with 3 hydrogens in UNIFAC-based system
+        olefinic_carbons = np.array([2, 1, 1, 0, 0, 0])  # groups 4-9
+        olefinic_hydrogens = np.array([3, 1, 0, 0, 0, 0])
+        aromatic_carbons = np.array([1, 1, 2, 2, 2])  # groups 10-14
+        aromatic_hydrogens = np.array([1, 0, 3, 2, 1])
+
+        self.nC = np.zeros(self.num_compounds, dtype=float)
+        self.nH = np.zeros(self.num_compounds, dtype=float)
+        for i in range(self.num_compounds):
+            # Alkyl contribution (groups 0-3)
+            self.nC[i] = np.dot(self.Nij[i, 0:4], alkyl_carbons)
+            self.nH[i] = np.dot(self.Nij[i, 0:4], alkyl_hydrogens)
+            # Olefinic contribution (groups 4-9)
+            self.nC[i] += np.dot(self.Nij[i, 4:10], olefinic_carbons)
+            self.nH[i] += np.dot(self.Nij[i, 4:10], olefinic_hydrogens)
+            # Aromatic contribution (groups 10-14)
+            self.nC[i] += np.dot(self.Nij[i, 10:15], aromatic_carbons)
+            self.nH[i] += np.dot(self.Nij[i, 10:15], aromatic_hydrogens)
+
+        # Read GCxGC/compound data
         df_gcxgc = pd.read_csv(self.gcxgcFile)
+
         self.compounds = [
             compound.strip() for compound in df_gcxgc["Compound"].to_list()
         ]
+        
+        # Load molecular formulas if available
+        if "Formula" in df_gcxgc.columns:
+            self.formulas = [
+                formula.strip() if pd.notna(formula) else None 
+                for formula in df_gcxgc["Formula"].to_list()
+            ]
+        else:
+            self.formulas = None
+            
         if "PelePhysics Key" in df_gcxgc.columns:
             self.pelephysics_keys = [
                 key.strip() for key in df_gcxgc["PelePhysics Key"].to_list()
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index 17613ce..13b5eef 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -13,6 +13,12 @@
 else:
     from importlib_resources import files
 
+try:
+    import yaml
+    HAS_YAML = True
+except ImportError:
+    HAS_YAML = False
+
 
 def get_data_dir():
     """
@@ -74,3 +80,91 @@ def get_fueldata_props_dir():
     :rtype: str
     """
     return os.path.join(get_fueldata_dir(), "propertiesData")
+
+
+def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
+    """
+    Load decomposition name mapping from fuel_metadata.yaml.
+    
+    :param fuel_name: Name of the fuel to look up.
+    :type fuel_name: str
+    :param fuel_data_dir: Directory containing fuel data. If None, uses embedded data.
+    :type fuel_data_dir: str, optional
+    :return: Decomposition name from metadata.
+    :rtype: str
+    :raises FileNotFoundError: If fuel_metadata.yaml is missing or fuel not found in metadata
+    """
+    if not HAS_YAML:
+        raise ImportError(
+            "PyYAML is required to use custom fuels. Install it with: pip install pyyaml"
+        )
+    
+    if fuel_data_dir is None:
+        # Use embedded data
+        metadata_file = os.path.join(
+            get_fueldata_dir(),
+            "fuel_metadata.yaml"
+        )
+        data_dir_display = "FuelLib embedded data"
+    else:
+        # Use custom data directory
+        metadata_file = os.path.join(
+            fuel_data_dir,
+            "fuel_metadata.yaml"
+        )
+        data_dir_display = fuel_data_dir
+    
+    if not os.path.exists(metadata_file):
+        raise FileNotFoundError(
+            f"fuel_metadata.yaml not found in {data_dir_display}.\n\n"
+            f"This file is required for all fuels. Please create:\n"
+            f"  {metadata_file}\n\n"
+            f"Minimal example:\n"
+            f"  fuels:\n"
+            f"    {fuel_name}:\n"
+            f"      decomp_name: {fuel_name}  # or name of your .csv file in groupDecompositionData/\n\n"
+            f"See the 'Adding Custom Fuels' documentation for more details."
+        )
+    
+    try:
+        with open(metadata_file, 'r') as f:
+            data = yaml.safe_load(f)
+    except Exception as e:
+        raise ValueError(
+            f"Error parsing {metadata_file}:\n{e}\n\n"
+            f"Make sure the file is valid YAML with proper indentation."
+        )
+    
+    if not data or 'fuels' not in data:
+        raise ValueError(
+            f"Invalid metadata file {metadata_file}.\n"
+            f"File must contain a 'fuels' section.\n\n"
+            f"Example:\n"
+            f"  fuels:\n"
+            f"    {fuel_name}:\n"
+            f"      decomp_name: {fuel_name}"
+        )
+    
+    if fuel_name not in data['fuels']:
+        available = list(data['fuels'].keys())
+        raise KeyError(
+            f"Fuel '{fuel_name}' not found in {metadata_file}.\n\n"
+            f"Available fuels: {', '.join(available) if available else 'none'}\n\n"
+            f"Add an entry for '{fuel_name}':\n"
+            f"  fuels:\n"
+            f"    {fuel_name}:\n"
+            f"      decomp_name: {fuel_name}"
+        )
+    
+    fuel_meta = data['fuels'][fuel_name]
+    
+    if 'decomp_name' not in fuel_meta:
+        raise ValueError(
+            f"Incomplete metadata for fuel '{fuel_name}' in {metadata_file}.\n\n"
+            f"Required fields:\n"
+            f"  - decomp_name: Name of the .csv file in groupDecompositionData/ (without .csv extension)\n\n"
+            f"Current entry:\n"
+            f"  {fuel_name}: {fuel_meta}"
+        )
+    
+    return fuel_meta['decomp_name']
diff --git a/fuellib/data/fuelData/fuel_metadata.yaml b/fuellib/data/fuelData/fuel_metadata.yaml
new file mode 100644
index 0000000..acf77f8
--- /dev/null
+++ b/fuellib/data/fuelData/fuel_metadata.yaml
@@ -0,0 +1,115 @@
+# Fuel Library Metadata
+# Contains source information and properties for fuels in FuelLib
+
+fuels:
+  # POSF Fuels (Petroleum Surrogate Fuels)
+  posf4658:
+    name: POSF4658
+    category: Conventional
+    source: Edwards et al. (2017)
+    reference: https://doi.org/10.2514/6.2017-0146
+    description: 2004 physical average jet fuel constructed by blending 5 separate jet fuels from across the U.S.
+    decomp_name: posf4658
+  
+  posf10264:
+    name: A-1 POSF10264 JP-8
+    category: Conventional
+    source: Edwards et al. (2020)
+    reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
+    description: Best case fuel from NJFCP. Low viscosity, low density, and a low flash point.
+    decomp_name: posf10264
+  
+  posf10289:
+    name: A-3 POSF10289 JP-5
+    category: Conventional
+    source: Edwards et al. (2020)
+    reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
+    description: Worst case fuel from NJFCP. High viscosity, high density, and a high flash point.
+    decomp_name: posf10289
+  
+  posf10325:
+    name: A-2 POSF10325 Jet A
+    category: Conventional
+    source: Edwards et al. (2020)
+    reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
+    description: Baseline fuel from NJFCP. Average density, average viscosity, and average flash point.
+    decomp_name: posf10325
+  
+  posf11498:
+    name: C-1 POSF11498 ATJ
+    category: SATF
+    source: Edwards et al. (2020)
+    reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
+    description: Atypical alternative fuel from NJFCP. Isoparaffinic-only with low density, average viscosity, and a flat distillation curve.
+    decomp_name: posf11498
+
+  # HEFA Fuels (Hydroprocessed Esters and Fatty Acids)
+  hefa-came:
+    name: HEFA-CAME
+    category: SATF
+    source: Vozka et al. (2018)
+    reference: https://doi.org/10.1021/acs.energyfuels.8b02787
+    description: HEFA-SPK from camelina oil feedstock
+    decomp_name: hefa
+  
+  hefa-mfat:
+    name: HEFA-MFAT
+    category: SATF
+    source: Vozka et al. (2018)
+    reference: https://doi.org/10.1021/acs.energyfuels.8b02787
+    description: HEFA from mixed fat feedstock
+    decomp_name: hefa
+  
+  hefa-tall:
+    name: HEFA-TALL
+    category: SATF
+    source: Vozka et al. (2018)
+    reference: https://doi.org/10.1021/acs.energyfuels.8b02787
+    description: HEFA from tallow feedstock
+    decomp_name: hefa
+
+  # Jet-A (Conventional Jet Fuel)
+  jet-a:
+    name: Jet-A
+    category: Conventional
+    source: Vozka et al. (2018)
+    reference: https://doi.org/10.1021/acs.energyfuels.8b02787
+    description: Conventional Jet-A
+    decomp_name: jet-A
+
+  # Single Component Reference Fuels
+  decane:
+    name: n-Decane
+    category: Simple
+    source: NIST
+    reference: null
+    description: 100% n-decane
+    decomp_name: decane
+    props_data: decane
+  
+  dodecane:
+    name: n-Dodecane
+    category: Simple
+    source: NIST
+    reference: null
+    description: 100% n-dodecane 
+    decomp_name: dodecane
+    props_data: dodecane
+  
+  heptane:
+    name: n-Heptane
+    category: Simple
+    source: NIST
+    reference: null
+    description: 100% n-heptane
+    decomp_name: heptane
+    props_data: heptane
+  
+  heptane-decane:
+    name: n-Heptane/n-Decane Blend
+    category: Simple
+    source: null
+    reference: null
+    description: 50/50 (mass) blend of n-heptane and n-decane
+    decomp_name: heptane-decane
+    props_data: null
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/decane_init.csv b/fuellib/data/fuelData/gcData/decane_init.csv
index b0d0709..ce09864 100644
--- a/fuellib/data/fuelData/gcData/decane_init.csv
+++ b/fuellib/data/fuelData/gcData/decane_init.csv
@@ -1,2 +1,2 @@
-Compound,Weight %
-NC10H22,100
\ No newline at end of file
+Compound,Formula,Weight %
+NC10H22,,100
diff --git a/fuellib/data/fuelData/gcData/dodecane_init.csv b/fuellib/data/fuelData/gcData/dodecane_init.csv
index a9a068e..9b7d3fc 100644
--- a/fuellib/data/fuelData/gcData/dodecane_init.csv
+++ b/fuellib/data/fuelData/gcData/dodecane_init.csv
@@ -1,2 +1,2 @@
-Compound,Weight %
-NC12H26,100
\ No newline at end of file
+Compound,Formula,Weight %
+NC12H26,,100
diff --git a/fuellib/data/fuelData/gcData/hefa-S1_init.csv b/fuellib/data/fuelData/gcData/hefa-S1_init.csv
deleted file mode 100644
index ecb828e..0000000
--- a/fuellib/data/fuelData/gcData/hefa-S1_init.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-Compound,Weight %
-2-methylnonane,59.57069121
-n-undecane,40.42930879
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv b/fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv
deleted file mode 100644
index 63fda34..0000000
--- a/fuellib/data/fuelData/gcData/hefa-WE-SAF-262714_init.csv
+++ /dev/null
@@ -1,33 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-C2-Benzene,ethyl benzene ,C2-BENZ,0.057556412
-C3-Benzene,propyl benzene,C3-BENZ,0.087931343
-C4-Benzene,butyl benzene,C4-BENZ,0.055032501
-C5-Benzene,pentyl benzene,C5-BENZ,0.026794203
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.199891503
-C08-Isoparaffin,2-methyl heptane,C8H18-2,2.370108437
-C09-Isoparaffin,2-methyl octane,C9H20-2,12.77270292
-C10-Isoparaffin,2-methyl nonane,C10H22-2,13.57486711
-C11-Isoparaffin,2-methyl decane,C11H24-2,12.23020367
-C12-Isoparaffin,2-methyl undecane,C12H26-2,9.826870781
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,7.725886046
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,5.514863988
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,6.842162663
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,3.510088296
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.133370244
-n-C07,n-heptane,NC7H16,0.148235261
-n-C08,n-octane,NC8H18,1.487407628
-n-C09,n-nonane,NC9H20,2.972384727
-n-C10,n-decane,NC10H22,2.700025728
-n-C11,n-undecane,NC11H24,2.274630182
-n-C12,n-dodecane,NC12H26,1.769651957
-n-C13,n-tridecane,NC13H28,2.68987968
-n-C14,n-tetradecane,NC14H30,3.014507942
-n-C15,n-pentadecane,NC15H32,2.491315435
-n-C16,n-hexadecane (cetane),NC16H34,0.960304858
-C05-Monocycloparaffin,cycopentane,C5-CYCLO,0.940382227
-C07-Monocycloparaffin,methyl cyclohexane,C7-CYCLO,0.075019973
-C08-Monocycloparaffin,ethyl cyclohexane,C8-CYCLO,0.382113294
-C09-Monocycloparaffin,propyl cyclohexane,C9-CYCLO,1.884099028
-C10-Monocycloparaffin,butyl cyclohexane,C10-CYCLO,0.844267369
-C11-Monocycloparaffin,pentyl cyclohexane,C11-CYCLO,0.327108201
-C12-Monocycloparaffin,hexyl cyclohexane,C12-CYCLO,0.110336399
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/hefa-came_init.csv b/fuellib/data/fuelData/gcData/hefa-came_init.csv
index 527882a..431a1a0 100644
--- a/fuellib/data/fuelData/gcData/hefa-came_init.csv
+++ b/fuellib/data/fuelData/gcData/hefa-came_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0
-C2-Benzene,ethyl benzene ,C6H5C2H5,0.01
-C3-Benzene,propyl benzene,C6H5C3H7,0.02
-C4-Benzene,butyl benzene,C6H5C4H9,0
-C5-Benzene,pentyl benzene,C6H5C5H11,0
-C6-Benzene,hexyl benzene,C6H5C6H13,0
-C7-Benzene,heptyl benzene,C6H5C7H15,0
-C8-Benzene,octyl benzene,C6H5C8H17,0
-C9-Benzene,nonyl benzene,C6H5C9H19,0
-Diaromatic-C10,naphthalene,NAPH,0
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
-Cycloaromatic-C09,indane,INDANE,0
-Cycloaromatic-C10,tetralin,TETRA,0
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0
-C08-Isoparaffin,2-methyl heptane,C8H18-2,1.51
-C09-Isoparaffin,2-methyl octane,C9H20-2,11.09
-C10-Isoparaffin,2-methyl nonane,C10H22-2,11.1
-C11-Isoparaffin,2-methyl decane,C11H24-2,9.62
-C12-Isoparaffin,2-methyl undecane,C12H26-2,8.27
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,8.33
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,6.39
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,5.42
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,2.14
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,21.58
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,4.71
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.83
-n-C09,n-nonane,NC9H20,1.92
-n-C10,n-decane,NC10H22,1.4
-n-C11,n-undecane,NC11H24,0.84
-n-C12,n-dodecane,NC12H26,0.59
-n-C13,n-tridecane,NC13H28,0.49
-n-C14,n-tetradecane,NC14H30,0.23
-n-C15,n-pentadecane,NC15H32,0.46
-n-C16,n-hexadecane (cetane),NC16H34,0.2
-n-C17,n-heptadecane,NC17H36,0.12
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.1
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,1.94
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.52
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.15
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.04
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.01
-C10-Dicycloparaffin,Decalin,DECALIN,0
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.0
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,0.01
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,0.02
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,0.0
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,0.0
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,0.0
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,0.0
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.0
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.0
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.0
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.0
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.0
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.0
+Cycloaromatic-C09,indane,C9H10,INDANE,0.0
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.0
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,0.0
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,0.0
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,0.0
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,0.0
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.0
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,1.51
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,11.09
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,11.1
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,9.62
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,8.27
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,8.33
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,6.39
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,5.42
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,2.14
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,21.58
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,4.71
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.0
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.0
+n-C07,n-heptane,C7H16,NC7H16,0.0
+n-C08,n-octane,C8H18,NC8H18,0.83
+n-C09,n-nonane,C9H20,NC9H20,1.92
+n-C10,n-decane,C10H22,NC10H22,1.4
+n-C11,n-undecane,C11H24,NC11H24,0.84
+n-C12,n-dodecane,C12H26,NC12H26,0.59
+n-C13,n-tridecane,C13H28,NC13H28,0.49
+n-C14,n-tetradecane,C14H30,NC14H30,0.23
+n-C15,n-pentadecane,C15H32,NC15H32,0.46
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.2
+n-C17,n-heptadecane,C17H36,NC17H36,0.12
+n-C18,n-octadecane,C18H38,NC18H38,0.0
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.1
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,1.94
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,0.52
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,0.15
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,0.04
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,0.0
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,0.0
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,0.0
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,0.0
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.0
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.0
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.0
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.01
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,0.0
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,0.0
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,0.0
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,0.0
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.0
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/hefa-mfat_init.csv b/fuellib/data/fuelData/gcData/hefa-mfat_init.csv
index 2c196c9..23a8ff6 100644
--- a/fuellib/data/fuelData/gcData/hefa-mfat_init.csv
+++ b/fuellib/data/fuelData/gcData/hefa-mfat_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.01
-C2-Benzene,ethyl benzene ,C6H5C2H5,0
-C3-Benzene,propyl benzene,C6H5C3H7,0.01
-C4-Benzene,butyl benzene,C6H5C4H9,0
-C5-Benzene,pentyl benzene,C6H5C5H11,0
-C6-Benzene,hexyl benzene,C6H5C6H13,0
-C7-Benzene,heptyl benzene,C6H5C7H15,0
-C8-Benzene,octyl benzene,C6H5C8H17,0
-C9-Benzene,nonyl benzene,C6H5C9H19,0
-Diaromatic-C10,naphthalene,NAPH,0
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
-Cycloaromatic-C09,indane,INDANE,0
-Cycloaromatic-C10,tetralin,TETRA,0
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.01
-C08-Isoparaffin,2-methyl heptane,C8H18-2,1.77
-C09-Isoparaffin,2-methyl octane,C9H20-2,3.65
-C10-Isoparaffin,2-methyl nonane,C10H22-2,6.69
-C11-Isoparaffin,2-methyl decane,C11H24-2,10.33
-C12-Isoparaffin,2-methyl undecane,C12H26-2,12.37
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,11.54
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,13.98
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,4.29
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,20.73
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.29
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,3.44
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.54
-n-C09,n-nonane,NC9H20,1
-n-C10,n-decane,NC10H22,1.42
-n-C11,n-undecane,NC11H24,1.36
-n-C12,n-dodecane,NC12H26,1.44
-n-C13,n-tridecane,NC13H28,0.87
-n-C14,n-tetradecane,NC14H30,1.67
-n-C15,n-pentadecane,NC15H32,0.18
-n-C16,n-hexadecane (cetane),NC16H34,0.7
-n-C17,n-heptadecane,NC17H36,0.01
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.07
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.76
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.41
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.27
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.14
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0.02
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0.01
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0
-C10-Dicycloparaffin,Decalin,DECALIN,0
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.01
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,0.0
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,0.01
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,0.0
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,0.0
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,0.0
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,0.0
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.0
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.0
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.0
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.0
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.0
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.0
+Cycloaromatic-C09,indane,C9H10,INDANE,0.0
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.0
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,0.0
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,0.0
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,0.0
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,0.0
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.01
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,1.77
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,3.65
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,6.69
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,10.33
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,12.37
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,11.54
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,13.98
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,4.29
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,20.73
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.29
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,3.44
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.0
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.0
+n-C07,n-heptane,C7H16,NC7H16,0.0
+n-C08,n-octane,C8H18,NC8H18,0.54
+n-C09,n-nonane,C9H20,NC9H20,1.0
+n-C10,n-decane,C10H22,NC10H22,1.42
+n-C11,n-undecane,C11H24,NC11H24,1.36
+n-C12,n-dodecane,C12H26,NC12H26,1.44
+n-C13,n-tridecane,C13H28,NC13H28,0.87
+n-C14,n-tetradecane,C14H30,NC14H30,1.67
+n-C15,n-pentadecane,C15H32,NC15H32,0.18
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.7
+n-C17,n-heptadecane,C17H36,NC17H36,0.01
+n-C18,n-octadecane,C18H38,NC18H38,0.0
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.07
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,0.76
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,0.41
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,0.27
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,0.14
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,0.02
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,0.01
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,0.0
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,0.0
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.0
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.0
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.0
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.0
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,0.0
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,0.0
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,0.0
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,0.0
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.0
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/hefa-tall_init.csv b/fuellib/data/fuelData/gcData/hefa-tall_init.csv
index 75bebde..54ba687 100644
--- a/fuellib/data/fuelData/gcData/hefa-tall_init.csv
+++ b/fuellib/data/fuelData/gcData/hefa-tall_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0
-C2-Benzene,ethyl benzene ,C6H5C2H5,0
-C3-Benzene,propyl benzene,C6H5C3H7,0
-C4-Benzene,butyl benzene,C6H5C4H9,0
-C5-Benzene,pentyl benzene,C6H5C5H11,0
-C6-Benzene,hexyl benzene,C6H5C6H13,0
-C7-Benzene,heptyl benzene,C6H5C7H15,0
-C8-Benzene,octyl benzene,C6H5C8H17,0
-C9-Benzene,nonyl benzene,C6H5C9H19,0
-Diaromatic-C10,naphthalene,NAPH,0
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0
-Cycloaromatic-C09,indane,INDANE,0
-Cycloaromatic-C10,tetralin,TETRA,0
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.06
-C09-Isoparaffin,2-methyl octane,C9H20-2,6.13
-C10-Isoparaffin,2-methyl nonane,C10H22-2,12.14
-C11-Isoparaffin,2-methyl decane,C11H24-2,12.6
-C12-Isoparaffin,2-methyl undecane,C12H26-2,13.52
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,12.69
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,8.75
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,21.74
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,4.13
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.1
-n-C09,n-nonane,NC9H20,1.84
-n-C10,n-decane,NC10H22,1.69
-n-C11,n-undecane,NC11H24,1.33
-n-C12,n-dodecane,NC12H26,1.12
-n-C13,n-tridecane,NC13H28,0.86
-n-C14,n-tetradecane,NC14H30,0.56
-n-C15,n-pentadecane,NC15H32,0.32
-n-C16,n-hexadecane (cetane),NC16H34,0
-n-C17,n-heptadecane,NC17H36,0
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.22
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,0.18
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,0.02
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,0.01
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,0
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,0
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0
-C10-Dicycloparaffin,Decalin,DECALIN,0
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.0
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,0.0
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,0.0
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,0.0
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,0.0
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,0.0
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,0.0
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.0
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.0
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.0
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.0
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.0
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.0
+Cycloaromatic-C09,indane,C9H10,INDANE,0.0
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.0
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,0.0
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,0.0
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,0.0
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,0.0
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.0
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.06
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,6.13
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,12.14
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,12.6
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,13.52
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,12.69
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,8.75
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,21.74
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,4.13
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.0
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,0.0
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.0
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.0
+n-C07,n-heptane,C7H16,NC7H16,0.0
+n-C08,n-octane,C8H18,NC8H18,0.1
+n-C09,n-nonane,C9H20,NC9H20,1.84
+n-C10,n-decane,C10H22,NC10H22,1.69
+n-C11,n-undecane,C11H24,NC11H24,1.33
+n-C12,n-dodecane,C12H26,NC12H26,1.12
+n-C13,n-tridecane,C13H28,NC13H28,0.86
+n-C14,n-tetradecane,C14H30,NC14H30,0.56
+n-C15,n-pentadecane,C15H32,NC15H32,0.32
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.0
+n-C17,n-heptadecane,C17H36,NC17H36,0.0
+n-C18,n-octadecane,C18H38,NC18H38,0.0
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.0
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,0.22
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,0.18
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,0.02
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,0.01
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,0.0
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,0.0
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,0.0
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,0.0
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.0
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.0
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.0
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.0
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,0.0
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,0.0
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,0.0
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,0.0
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.0
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/heptane-decane_init.csv b/fuellib/data/fuelData/gcData/heptane-decane_init.csv
index 70680b1..7c50f91 100644
--- a/fuellib/data/fuelData/gcData/heptane-decane_init.csv
+++ b/fuellib/data/fuelData/gcData/heptane-decane_init.csv
@@ -1,3 +1,3 @@
-Compound,Weight %
-NC7H16,73.75
-NC10H22,26.25
\ No newline at end of file
+Compound,Formula,Weight %
+NC7H16,,73.75
+NC10H22,,26.25
diff --git a/fuellib/data/fuelData/gcData/heptane_init.csv b/fuellib/data/fuelData/gcData/heptane_init.csv
index d57c668..c4ed359 100644
--- a/fuellib/data/fuelData/gcData/heptane_init.csv
+++ b/fuellib/data/fuelData/gcData/heptane_init.csv
@@ -1,2 +1,2 @@
-Compound,Weight %
-NC7H16,100
\ No newline at end of file
+Compound,Formula,Weight %
+NC7H16,,100
diff --git a/fuellib/data/fuelData/gcData/jet-a_init.csv b/fuellib/data/fuelData/gcData/jet-a_init.csv
index 07d4e30..a1f129f 100644
--- a/fuellib/data/fuelData/gcData/jet-a_init.csv
+++ b/fuellib/data/fuelData/gcData/jet-a_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.07
-C2-Benzene,ethyl benzene ,C6H5C2H5,1.79
-C3-Benzene,propyl benzene,C6H5C3H7,4.54
-C4-Benzene,butyl benzene,C6H5C4H9,3.27
-C5-Benzene,pentyl benzene,C6H5C5H11,2.73
-C6-Benzene,hexyl benzene,C6H5C6H13,1.76
-C7-Benzene,heptyl benzene,C6H5C7H15,0.98
-C8-Benzene,octyl benzene,C6H5C8H17,0.47
-C9-Benzene,nonyl benzene,C6H5C9H19,0.15
-Diaromatic-C10,naphthalene,NAPH,0.11
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.44
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.63
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.51
-Cycloaromatic-C09,indane,INDANE,0.14
-Cycloaromatic-C10,tetralin,TETRA,0.45
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,2.43
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,2.21
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,1.46
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.42
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.01
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.31
-C09-Isoparaffin,2-methyl octane,C9H20-2,4.12
-C10-Isoparaffin,2-methyl nonane,C10H22-2,6.63
-C11-Isoparaffin,2-methyl decane,C11H24-2,5.02
-C12-Isoparaffin,2-methyl undecane,C12H26-2,3.21
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,2.95
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,2.39
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,1.66
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.87
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.19
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.08
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0
-n-C08,n-octane,NC8H18,0.67
-n-C09,n-nonane,NC9H20,4.42
-n-C10,n-decane,NC10H22,4.73
-n-C11,n-undecane,NC11H24,3.44
-n-C12,n-dodecane,NC12H26,2.49
-n-C13,n-tridecane,NC13H28,1.93
-n-C14,n-tetradecane,NC14H30,1.31
-n-C15,n-pentadecane,NC15H32,0.79
-n-C16,n-hexadecane (cetane),NC16H34,0.38
-n-C17,n-heptadecane,NC17H36,0.09
-n-C18,n-octadecane,NC18H38,0.02
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.19
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,5.81
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,5.26
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.58
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,2.82
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,2.5
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,1.53
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,0.65
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0.02
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.86
-C09-Dicycloparaffin,Hydrindane,HYDRIND,1.21
-C10-Dicycloparaffin,Decalin,DECALIN,1.05
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.8
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.27
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.09
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.07
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,1.79
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,4.54
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,3.27
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,2.73
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,1.76
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,0.98
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.47
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.15
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.11
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.44
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.63
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.51
+Cycloaromatic-C09,indane,C9H10,INDANE,0.14
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.45
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,2.43
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,2.21
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,1.46
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,0.42
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.01
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.31
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,4.12
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,6.63
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,5.02
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,3.21
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,2.95
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,2.39
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,1.66
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,0.87
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.19
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,0.08
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.0
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.0
+n-C07,n-heptane,C7H16,NC7H16,0.0
+n-C08,n-octane,C8H18,NC8H18,0.67
+n-C09,n-nonane,C9H20,NC9H20,4.42
+n-C10,n-decane,C10H22,NC10H22,4.73
+n-C11,n-undecane,C11H24,NC11H24,3.44
+n-C12,n-dodecane,C12H26,NC12H26,2.49
+n-C13,n-tridecane,C13H28,NC13H28,1.93
+n-C14,n-tetradecane,C14H30,NC14H30,1.31
+n-C15,n-pentadecane,C15H32,NC15H32,0.79
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.38
+n-C17,n-heptadecane,C17H36,NC17H36,0.09
+n-C18,n-octadecane,C18H38,NC18H38,0.02
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.19
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,5.81
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,5.26
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,4.58
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,2.82
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,2.5
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,1.53
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,0.65
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,0.02
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.0
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.0
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.86
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,1.21
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,1.05
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,0.8
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,0.27
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,0.09
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.0
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.0
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.0
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/posf10264_T30_init.csv b/fuellib/data/fuelData/gcData/posf10264_T30_init.csv
deleted file mode 100644
index efa6e5e..0000000
--- a/fuellib/data/fuelData/gcData/posf10264_T30_init.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.026243851
-C2-Benzene,ethyl benzene ,C6H5C2H5,0.563849082
-C3-Benzene,propyl benzene,C6H5C3H7,2.170825974
-C4-Benzene,butyl benzene,C6H5C4H9,1.868676471
-C5-Benzene,pentyl benzene,C6H5C5H11,1.243556866
-C6-Benzene,hexyl benzene,C6H5C6H13,0.815117038
-C7-Benzene,heptyl benzene,C6H5C7H15,0.343926707
-C8-Benzene,octyl benzene,C6H5C8H17,0.177068058
-C9-Benzene,nonyl benzene,C6H5C9H19,0.092682255
-Diaromatic-C10,naphthalene,NAPH,0.158282571
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.563748085
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.723177759
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.397346321
-Cycloaromatic-C09,indane,INDANE,0.037303272
-Cycloaromatic-C10,tetralin,TETRA,0.167109231
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.383886527
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.470487331
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.475804054
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.289055519
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.010816054
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.2046366
-C09-Isoparaffin,2-methyl octane,C9H20-2,1.306819247
-C10-Isoparaffin,2-methyl nonane,C10H22-2,6.254544046
-C11-Isoparaffin,2-methyl decane,C11H24-2,8.347290213
-C12-Isoparaffin,2-methyl undecane,C12H26-2,6.280064982
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,5.883941158
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,5.327191919
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,3.183676728
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.074196985
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.291668253
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.044339228
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0
-n-C07,n-heptane,NC7H16,0.026471001
-n-C08,n-octane,NC8H18,0.378567896
-n-C09,n-nonane,NC9H20,1.849315933
-n-C10,n-decane,NC10H22,5.651114497
-n-C11,n-undecane,NC11H24,5.617499013
-n-C12,n-dodecane,NC12H26,4.849494222
-n-C13,n-tridecane,NC13H28,3.88941346
-n-C14,n-tetradecane,NC14H30,2.70584866
-n-C15,n-pentadecane,NC15H32,1.176763184
-n-C16,n-hexadecane (cetane),NC16H34,0.333330547
-n-C17,n-heptadecane,NC17H36,0.088344843
-n-C18,n-octadecane,NC18H38,0
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.077136106
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.395905261
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,2.052459083
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.16184899
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,4.046496274
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,3.155585379
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,3.125128759
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,1.734320799
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.157839457
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.16889367
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.031150583
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.009767699
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.232146673
-C10-Dicycloparaffin,Decalin,DECALIN,0.450631891
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.790849113
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.997193825
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.740914494
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.681235908
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.125895154
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.121105243
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/posf10264_init.csv b/fuellib/data/fuelData/gcData/posf10264_init.csv
index 6b89316..693d2d7 100644
--- a/fuellib/data/fuelData/gcData/posf10264_init.csv
+++ b/fuellib/data/fuelData/gcData/posf10264_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.25
-C2-Benzene,ethyl benzene ,C6H5C2H5,1.98
-C3-Benzene,propyl benzene,C6H5C3H7,4.17
-C4-Benzene,butyl benzene,C6H5C4H9,2.33
-C5-Benzene,pentyl benzene,C6H5C5H11,1.19
-C6-Benzene,hexyl benzene,C6H5C6H13,0.66
-C7-Benzene,heptyl benzene,C6H5C7H15,0.25
-C8-Benzene,octyl benzene,C6H5C8H17,0.12
-C9-Benzene,nonyl benzene,C6H5C9H19,0.06
-Diaromatic-C10,naphthalene,NAPH,0.10
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.33
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.41
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.22
-Cycloaromatic-C09,indane,INDANE,0.02
-Cycloaromatic-C10,tetralin,TETRA,0.19
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.37
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.38
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.34
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.19
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.21
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.88
-C09-Isoparaffin,2-methyl octane,C9H20-2,2.59
-C10-Isoparaffin,2-methyl nonane,C10H22-2,8.15
-C11-Isoparaffin,2-methyl decane,C11H24-2,8.38
-C12-Isoparaffin,2-methyl undecane,C12H26-2,5.41
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,4.63
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,3.96
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.28
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.75
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.20
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.03
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.00
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.00
-n-C07,n-heptane,NC7H16,0.24
-n-C08,n-octane,NC8H18,1.11
-n-C09,n-nonane,NC9H20,2.97
-n-C10,n-decane,NC10H22,6.46
-n-C11,n-undecane,NC11H24,5.22
-n-C12,n-dodecane,NC12H26,3.99
-n-C13,n-tridecane,NC13H28,2.97
-n-C14,n-tetradecane,NC14H30,1.97
-n-C15,n-pentadecane,NC15H32,0.83
-n-C16,n-hexadecane (cetane),NC16H34,0.23
-n-C17,n-heptadecane,NC17H36,0.06
-n-C18,n-octadecane,NC18H38,0.00
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.51
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,1.01
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,3.06
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.47
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,3.55
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,2.45
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,2.25
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,1.19
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,0.77
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.11
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.02
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.35
-C10-Dicycloparaffin,Decalin,DECALIN,0.47
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,0.71
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,0.77
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,0.52
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.45
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.08
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.11
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.25
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,1.98
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,4.17
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,2.33
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,1.19
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,0.66
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,0.25
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.12
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.06
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.1
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.33
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.41
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.22
+Cycloaromatic-C09,indane,C9H10,INDANE,0.02
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.19
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,0.37
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,0.38
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,0.34
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,0.19
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.21
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.88
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,2.59
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,8.15
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,8.38
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,5.41
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,4.63
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,3.96
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,2.28
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,0.75
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.2
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,0.03
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.0
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.0
+n-C07,n-heptane,C7H16,NC7H16,0.24
+n-C08,n-octane,C8H18,NC8H18,1.11
+n-C09,n-nonane,C9H20,NC9H20,2.97
+n-C10,n-decane,C10H22,NC10H22,6.46
+n-C11,n-undecane,C11H24,NC11H24,5.22
+n-C12,n-dodecane,C12H26,NC12H26,3.99
+n-C13,n-tridecane,C13H28,NC13H28,2.97
+n-C14,n-tetradecane,C14H30,NC14H30,1.97
+n-C15,n-pentadecane,C15H32,NC15H32,0.83
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.23
+n-C17,n-heptadecane,C17H36,NC17H36,0.06
+n-C18,n-octadecane,C18H38,NC18H38,0.0
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.51
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,1.01
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,3.06
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,4.47
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,3.55
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,2.45
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,2.25
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,1.19
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,0.77
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.11
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.02
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.03
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.35
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,0.47
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,0.71
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,0.77
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,0.52
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.45
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.08
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.11
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/posf10289_init.csv b/fuellib/data/fuelData/gcData/posf10289_init.csv
index c4092b1..90b0c53 100644
--- a/fuellib/data/fuelData/gcData/posf10289_init.csv
+++ b/fuellib/data/fuelData/gcData/posf10289_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.03
-C2-Benzene,ethyl benzene ,C6H5C2H5,0.41
-C3-Benzene,propyl benzene,C6H5C3H7,1.32
-C4-Benzene,butyl benzene,C6H5C4H9,2.09
-C5-Benzene,pentyl benzene,C6H5C5H11,1.98
-C6-Benzene,hexyl benzene,C6H5C6H13,1.80
-C7-Benzene,heptyl benzene,C6H5C7H15,1.24
-C8-Benzene,octyl benzene,C6H5C8H17,1.05
-C9-Benzene,nonyl benzene,C6H5C9H19,0.42
-Diaromatic-C10,naphthalene,NAPH,0.09
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.33
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.60
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.33
-Cycloaromatic-C09,indane,INDANE,0.03
-Cycloaromatic-C10,tetralin,TETRA,0.57
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,1.91
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,2.67
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,2.27
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,1.22
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.02
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.13
-C09-Isoparaffin,2-methyl octane,C9H20-2,0.48
-C10-Isoparaffin,2-methyl nonane,C10H22-2,1.66
-C11-Isoparaffin,2-methyl decane,C11H24-2,2.73
-C12-Isoparaffin,2-methyl undecane,C12H26-2,3.36
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,3.57
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,3.54
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.70
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,0.65
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.08
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.00
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.00
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.00
-n-C07,n-heptane,NC7H16,0.02
-n-C08,n-octane,NC8H18,0.19
-n-C09,n-nonane,NC9H20,0.64
-n-C10,n-decane,NC10H22,1.41
-n-C11,n-undecane,NC11H24,2.60
-n-C12,n-dodecane,NC12H26,3.09
-n-C13,n-tridecane,NC13H28,2.50
-n-C14,n-tetradecane,NC14H30,1.92
-n-C15,n-pentadecane,NC15H32,0.86
-n-C16,n-hexadecane (cetane),NC16H34,0.11
-n-C17,n-heptadecane,NC17H36,0.01
-n-C18,n-octadecane,NC18H38,0.00
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.08
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.35
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,1.53
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,3.25
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,5.77
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,6.25
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,6.11
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,4.22
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,2.27
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.41
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.01
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.46
-C10-Dicycloparaffin,Decalin,DECALIN,1.04
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,2.84
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,4.33
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,4.53
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,3.14
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.67
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.10
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.03
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,0.41
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,1.32
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,2.09
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,1.98
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,1.8
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,1.24
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,1.05
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.42
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.09
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.33
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.6
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.33
+Cycloaromatic-C09,indane,C9H10,INDANE,0.03
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.57
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,1.91
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,2.67
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,2.27
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,1.22
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.02
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.13
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,0.48
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,1.66
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,2.73
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,3.36
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,3.57
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,3.54
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,2.7
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,0.65
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.08
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,0.0
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.0
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.0
+n-C07,n-heptane,C7H16,NC7H16,0.02
+n-C08,n-octane,C8H18,NC8H18,0.19
+n-C09,n-nonane,C9H20,NC9H20,0.64
+n-C10,n-decane,C10H22,NC10H22,1.41
+n-C11,n-undecane,C11H24,NC11H24,2.6
+n-C12,n-dodecane,C12H26,NC12H26,3.09
+n-C13,n-tridecane,C13H28,NC13H28,2.5
+n-C14,n-tetradecane,C14H30,NC14H30,1.92
+n-C15,n-pentadecane,C15H32,NC15H32,0.86
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.11
+n-C17,n-heptadecane,C17H36,NC17H36,0.01
+n-C18,n-octadecane,C18H38,NC18H38,0.0
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.08
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,0.35
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,1.53
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,3.25
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,5.77
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,6.25
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,6.11
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,4.22
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,2.27
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.41
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.01
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.03
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.46
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,1.04
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,2.84
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,4.33
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,4.53
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,3.14
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.67
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.1
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/posf10325_init.csv b/fuellib/data/fuelData/gcData/posf10325_init.csv
index 7bd11cf..81e117c 100644
--- a/fuellib/data/fuelData/gcData/posf10325_init.csv
+++ b/fuellib/data/fuelData/gcData/posf10325_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.17
-C2-Benzene,ethyl benzene ,C6H5C2H5,1.10
-C3-Benzene,propyl benzene,C6H5C3H7,2.97
-C4-Benzene,butyl benzene,C6H5C4H9,3.32
-C5-Benzene,pentyl benzene,C6H5C5H11,2.22
-C6-Benzene,hexyl benzene,C6H5C6H13,1.45
-C7-Benzene,heptyl benzene,C6H5C7H15,0.73
-C8-Benzene,octyl benzene,C6H5C8H17,0.52
-C9-Benzene,nonyl benzene,C6H5C9H19,0.42
-Diaromatic-C10,naphthalene,NAPH,0.22
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.66
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.86
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.60
-Cycloaromatic-C09,indane,INDANE,0.02
-Cycloaromatic-C10,tetralin,TETRA,0.26
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,0.66
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,0.89
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,0.85
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,0.61
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.15
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.44
-C09-Isoparaffin,2-methyl octane,C9H20-2,1.05
-C10-Isoparaffin,2-methyl nonane,C10H22-2,4.20
-C11-Isoparaffin,2-methyl decane,C11H24-2,5.70
-C12-Isoparaffin,2-methyl undecane,C12H26-2,5.63
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,4.22
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,4.20
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,2.51
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.00
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.39
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.11
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.03
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.03
-n-C07,n-heptane,NC7H16,0.17
-n-C08,n-octane,NC8H18,0.54
-n-C09,n-nonane,NC9H20,1.42
-n-C10,n-decane,NC10H22,3.26
-n-C11,n-undecane,NC11H24,4.29
-n-C12,n-dodecane,NC12H26,3.74
-n-C13,n-tridecane,NC13H28,2.80
-n-C14,n-tetradecane,NC14H30,2.02
-n-C15,n-pentadecane,NC15H32,1.03
-n-C16,n-hexadecane (cetane),NC16H34,0.43
-n-C17,n-heptadecane,NC17H36,0.21
-n-C18,n-octadecane,NC18H38,0.06
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.36
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.78
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,2.30
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,4.11
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,5.43
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,3.73
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,4.19
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,2.19
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.33
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.42
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.24
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.03
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.43
-C10-Dicycloparaffin,Decalin,DECALIN,0.72
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,1.52
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,1.57
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,1.21
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.81
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.27
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.16
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.17
+C2-Benzene,ethyl benzene ,C8H10,C6H5C2H5,1.1
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,2.97
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,3.32
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,2.22
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,1.45
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,0.73
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.52
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,0.42
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.22
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.66
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.86
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.6
+Cycloaromatic-C09,indane,C9H10,INDANE,0.02
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.26
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,0.66
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,0.89
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,0.85
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,0.61
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.15
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.44
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,1.05
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,4.2
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,5.7
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,5.63
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,4.22
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,4.2
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,2.51
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,1.0
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.39
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,0.11
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.03
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.03
+n-C07,n-heptane,C7H16,NC7H16,0.17
+n-C08,n-octane,C8H18,NC8H18,0.54
+n-C09,n-nonane,C9H20,NC9H20,1.42
+n-C10,n-decane,C10H22,NC10H22,3.26
+n-C11,n-undecane,C11H24,NC11H24,4.29
+n-C12,n-dodecane,C12H26,NC12H26,3.74
+n-C13,n-tridecane,C13H28,NC13H28,2.8
+n-C14,n-tetradecane,C14H30,NC14H30,2.02
+n-C15,n-pentadecane,C15H32,NC15H32,1.03
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.43
+n-C17,n-heptadecane,C17H36,NC17H36,0.21
+n-C18,n-octadecane,C18H38,NC18H38,0.06
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.36
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,0.78
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,2.3
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,4.11
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,5.43
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,3.73
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,4.19
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,2.19
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,1.33
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.42
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.24
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.03
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.43
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,0.72
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,1.52
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,1.57
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,1.21
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.81
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.27
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.16
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/gcData/posf11498_init.csv b/fuellib/data/fuelData/gcData/posf11498_init.csv
index fd876d2..c04dd00 100644
--- a/fuellib/data/fuelData/gcData/posf11498_init.csv
+++ b/fuellib/data/fuelData/gcData/posf11498_init.csv
@@ -1,14 +1,14 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.02
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.61
-C09-Isoparaffin,2-methyl octane,C9H20-2,0.17
-C10-Isoparaffin,2-methyl nonane,C10H22-2,0.22
-C11-Isoparaffin,2-methyl decane,C11H24-2,0.52
-C12-Isoparaffin,2-methyl undecane,C12H26-2,78.28
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,1.23
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,0.53
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,16.25
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,1.69
-C24-Isoparaffin,2-methyltricosane,C24H50-2,0.12
-C12-Alkene,1-dodecene,DODECENE-1,0.08
-C16-Alkene,1-hexadecene,HEXADECENE-1,0.24
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.02
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.61
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,0.17
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,0.22
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,0.52
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,78.28
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,1.23
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,0.53
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,16.25
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,1.69
+C24-Isoparaffin,2-methyltricosane,C24H50,C24H50-2,0.12
+C12-Alkene,1-dodecene,C12H24,DODECENE-1,0.08
+C16-Alkene,1-hexadecene,C16H32,HEXADECENE-1,0.24
diff --git a/fuellib/data/fuelData/gcData/posf4658_init.csv b/fuellib/data/fuelData/gcData/posf4658_init.csv
index 2f1d77b..5f5746f 100644
--- a/fuellib/data/fuelData/gcData/posf4658_init.csv
+++ b/fuellib/data/fuelData/gcData/posf4658_init.csv
@@ -1,68 +1,68 @@
-Compound,Reference Compound,PelePhysics Key,Weight %
-Toluene,toluene,C6H5CH3,0.16
-C2-Benzene,ethyl benzene,C6H5C2H5,0.78
-C3-Benzene,propyl benzene,C6H5C3H7,2.24
-C4-Benzene,butyl benzene,C6H5C4H9,3.02
-C5-Benzene,pentyl benzene,C6H5C5H11,2.48
-C6-Benzene,hexyl benzene,C6H5C6H13,1.93
-C7-Benzene,heptyl benzene,C6H5C7H15,1.19
-C8-Benzene,octyl benzene,C6H5C8H17,0.89
-C9-Benzene,nonyl benzene,C6H5C9H19,1.00
-Diaromatic-C10,naphthalene,NAPH,0.12
-Diaromatic-C11,1-methyl naphthalene,METHYLNAPH-1,0.42
-Diaromatic-C12,1-ethyl naphthalene,ETHYLNAPH-1,0.60
-Diaromatic-C13,1-propyl naphthalene,PROPYLNAPH-1,0.63
-Cycloaromatic-C09,indane,INDANE,0.04
-Cycloaromatic-C10,tetralin,TETRA,0.43
-Cycloaromatic-C11,2-methyl tetralin,METHYLTETRA-2,1.13
-Cycloaromatic-C12,2-ethly tetralin,ETHYLTETRA-2,1.63
-Cycloaromatic-C13,2-propyl tetralin,PROPYLTETRA-2,1.45
-Cycloaromatic-C14,2-butyl tetralin,BUTYLTETRA-2,1.12
-C07-Isoparaffin,2-methyl hexane,C7H16-2,0.23
-C08-Isoparaffin,2-methyl heptane,C8H18-2,0.56
-C09-Isoparaffin,2-methyl octane,C9H20-2,1.08
-C10-Isoparaffin,2-methyl nonane,C10H22-2,3.59
-C11-Isoparaffin,2-methyl decane,C11H24-2,5.12
-C12-Isoparaffin,2-methyl undecane,C12H26-2,5.31
-C13-Isoparaffin,2-methyl dodecane,C13H28-2,5.25
-C14-Isoparaffin,2-methyl tridecane,C14H30-2,4.44
-C15-Isoparaffin,2-methyl tetradecane,C15H32-2,3.10
-C16-Isoparaffin,2-methyl pentadecane,C16H34-2,1.66
-C17-Isoparaffin,2-methyl hexadecane,C17H36-2,0.69
-C18-Isoparaffin,2-methyl heptadecane,C18H38-2,0.19
-C19-Isoparaffin,2-methyl octadecane,C19H40-2,0.08
-C20-Isoparaffin,2-methyl nonadecane,C20H42-2,0.02
-n-C07,n-heptane,NC7H16,0.15
-n-C08,n-octane,NC8H18,0.54
-n-C09,n-nonane,NC9H20,1.14
-n-C10,n-decane,NC10H22,2.55
-n-C11,n-undecane,NC11H24,3.62
-n-C12,n-dodecane,NC12H26,3.70
-n-C13,n-tridecane,NC13H28,2.86
-n-C14,n-tetradecane,NC14H30,2.17
-n-C15,n-pentadecane,NC15H32,1.28
-n-C16,n-hexadecane (cetane),NC16H34,0.61
-n-C17,n-heptadecane,NC17H36,0.27
-n-C18,n-octadecane,NC18H38,0.07
-C07-Monocycloparaffin,methyl cyclohexane,C6H11CH3,0.20
-C08-Monocycloparaffin,ethyl cyclohexane,C6H11C2H5,0.69
-C09-Monocycloparaffin,propyl cyclohexane,C6H11C3H7,1.67
-C10-Monocycloparaffin,butyl cyclohexane,C6H11C4H9,3.26
-C11-Monocycloparaffin,pentyl cyclohexane,C6H11C5H11,4.11
-C12-Monocycloparaffin,hexyl cyclohexane,C6H11C6H13,4.07
-C13-Monocycloparaffin,heptyl cyclohexane,C6H11C7H15,3.65
-C14-Monocycloparaffin,octyl cyclohexane,C6H11C8H17,2.43
-C15-Monocycloparaffin,nonyl cyclohexane,C6H11C9H19,1.55
-C16-Monocycloparaffin,decyl cyclohexane,C6H11C10H21,0.64
-C17-Monocycloparaffin,undecyl cyclohexane,C6H11C11H23,0.37
-C08-Dicycloparaffin,Octahydropentalene,OHPEN,0.02
-C09-Dicycloparaffin,Hydrindane,HYDRIND,0.29
-C10-Dicycloparaffin,Decalin,DECALIN,0.43
-C11-Dicycloparaffin,2-methyldecalin,METHYLDECALIN-2,1.26
-C12-Dicycloparaffin,2-ethyldecalin,ETHYLDECALIN-2,1.22
-C13-Dicycloparaffin,2-propyldecalin,PROPYLDECALIN-2,1.42
-C14-Dicycloparaffin,2-butyldecalin,BUTYLDECALIN-2,0.82
-C15-Dicycloparaffin,2-pentyldacalin,PENTYLDECALIN-2,0.26
-C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,TRICYCLO-C10,0.00
-C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,TRICYCLO-C11,0.05
-C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,TRICYCLO-C12,0.00
\ No newline at end of file
+Compound,Reference Compound,Formula,PelePhysics Key,Weight %
+Toluene,toluene,C7H8,C6H5CH3,0.16
+C2-Benzene,ethyl benzene,C8H10,C6H5C2H5,0.78
+C3-Benzene,propyl benzene,C9H12,C6H5C3H7,2.24
+C4-Benzene,butyl benzene,C10H14,C6H5C4H9,3.02
+C5-Benzene,pentyl benzene,C11H16,C6H5C5H11,2.48
+C6-Benzene,hexyl benzene,C12H18,C6H5C6H13,1.93
+C7-Benzene,heptyl benzene,C13H20,C6H5C7H15,1.19
+C8-Benzene,octyl benzene,C14H22,C6H5C8H17,0.89
+C9-Benzene,nonyl benzene,C15H24,C6H5C9H19,1.0
+Diaromatic-C10,naphthalene,C10H8,NAPH,0.12
+Diaromatic-C11,1-methyl naphthalene,C11H10,METHYLNAPH-1,0.42
+Diaromatic-C12,1-ethyl naphthalene,C12H12,ETHYLNAPH-1,0.6
+Diaromatic-C13,1-propyl naphthalene,C13H14,PROPYLNAPH-1,0.63
+Cycloaromatic-C09,indane,C9H10,INDANE,0.04
+Cycloaromatic-C10,tetralin,C10H12,TETRA,0.43
+Cycloaromatic-C11,2-methyl tetralin,C11H14,METHYLTETRA-2,1.13
+Cycloaromatic-C12,2-ethly tetralin,C12H16,ETHYLTETRA-2,1.63
+Cycloaromatic-C13,2-propyl tetralin,C13H18,PROPYLTETRA-2,1.45
+Cycloaromatic-C14,2-butyl tetralin,C14H20,BUTYLTETRA-2,1.12
+C07-Isoparaffin,2-methyl hexane,C7H16,C7H16-2,0.23
+C08-Isoparaffin,2-methyl heptane,C8H18,C8H18-2,0.56
+C09-Isoparaffin,2-methyl octane,C9H20,C9H20-2,1.08
+C10-Isoparaffin,2-methyl nonane,C10H22,C10H22-2,3.59
+C11-Isoparaffin,2-methyl decane,C11H24,C11H24-2,5.12
+C12-Isoparaffin,2-methyl undecane,C12H26,C12H26-2,5.31
+C13-Isoparaffin,2-methyl dodecane,C13H28,C13H28-2,5.25
+C14-Isoparaffin,2-methyl tridecane,C14H30,C14H30-2,4.44
+C15-Isoparaffin,2-methyl tetradecane,C15H32,C15H32-2,3.1
+C16-Isoparaffin,2-methyl pentadecane,C16H34,C16H34-2,1.66
+C17-Isoparaffin,2-methyl hexadecane,C17H36,C17H36-2,0.69
+C18-Isoparaffin,2-methyl heptadecane,C18H38,C18H38-2,0.19
+C19-Isoparaffin,2-methyl octadecane,C19H40,C19H40-2,0.08
+C20-Isoparaffin,2-methyl nonadecane,C20H42,C20H42-2,0.02
+n-C07,n-heptane,C7H16,NC7H16,0.15
+n-C08,n-octane,C8H18,NC8H18,0.54
+n-C09,n-nonane,C9H20,NC9H20,1.14
+n-C10,n-decane,C10H22,NC10H22,2.55
+n-C11,n-undecane,C11H24,NC11H24,3.62
+n-C12,n-dodecane,C12H26,NC12H26,3.7
+n-C13,n-tridecane,C13H28,NC13H28,2.86
+n-C14,n-tetradecane,C14H30,NC14H30,2.17
+n-C15,n-pentadecane,C15H32,NC15H32,1.28
+n-C16,n-hexadecane (cetane),C16H34,NC16H34,0.61
+n-C17,n-heptadecane,C17H36,NC17H36,0.27
+n-C18,n-octadecane,C18H38,NC18H38,0.07
+C07-Monocycloparaffin,methyl cyclohexane,C7C14,C6H11CH3,0.2
+C08-Monocycloparaffin,ethyl cyclohexane,C8H16,C6H11C2H5,0.69
+C09-Monocycloparaffin,propyl cyclohexane,C9H18,C6H11C3H7,1.67
+C10-Monocycloparaffin,butyl cyclohexane,C10H20,C6H11C4H9,3.26
+C11-Monocycloparaffin,pentyl cyclohexane,C11H22,C6H11C5H11,4.11
+C12-Monocycloparaffin,hexyl cyclohexane,C12H24,C6H11C6H13,4.07
+C13-Monocycloparaffin,heptyl cyclohexane,C13H26,C6H11C7H15,3.65
+C14-Monocycloparaffin,octyl cyclohexane,C14H28,C6H11C8H17,2.43
+C15-Monocycloparaffin,nonyl cyclohexane,C15H30,C6H11C9H19,1.55
+C16-Monocycloparaffin,decyl cyclohexane,C16H32,C6H11C10H21,0.64
+C17-Monocycloparaffin,undecyl cyclohexane,C17H34,C6H11C11H23,0.37
+C08-Dicycloparaffin,Octahydropentalene,C8H14,OHPEN,0.02
+C09-Dicycloparaffin,Hydrindane,C9H16,HYDRIND,0.29
+C10-Dicycloparaffin,Decalin,C10H18,DECALIN,0.43
+C11-Dicycloparaffin,2-methyldecalin,C11H20,METHYLDECALIN-2,1.26
+C12-Dicycloparaffin,2-ethyldecalin,C12H22,ETHYLDECALIN-2,1.22
+C13-Dicycloparaffin,2-propyldecalin,C13H24,PROPYLDECALIN-2,1.42
+C14-Dicycloparaffin,2-butyldecalin,C14H26,BUTYLDECALIN-2,0.82
+C15-Dicycloparaffin,2-pentyldacalin,C15H28,PENTYLDECALIN-2,0.26
+C10-Tricycloparaffin,C1CC2C(C1)C1CCCC21,C10H16,TRICYCLO-C10,0.0
+C11-Tricycloparaffin,C1CC2CC3CCCC3C2C1,C11H18,TRICYCLO-C11,0.05
+C12-Tricycloparaffin,C1CC2CC3CCCC3CC2C1,C12H20,TRICYCLO-C12,0.0
diff --git a/fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv b/fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv
deleted file mode 100644
index 053c076..0000000
--- a/fuellib/data/fuelData/groupDecompositionData/hefa-S1.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-Compound,CH3 (1),CH2 (2),CH (3),C (4),CH2=CH (1),CH=CH (2),CH2=C (2),CH=C (3),C=C (4),CH2=C=CH(1),ACH (2),AC (3),ACCH3 (2),ACCH2 (3),ACCH (4),OH (1),ACOH (2),CH3CO (1),CH2CO (2),CHO (1)*,CH3COO (1),CH2COO (2),HCOO (1),CH30 (1),CH20 (2),CH-O (3),FCH20 (1)*,CH2NH2 (1),CHNH2 (2),CH3NH (2),CH2NH (3),CHNH (4)*,CH3N (2),CH2N (3),ACNH2 (2),C5H4N (1),C5H3N (2),CH2CN (1)*,COOH (1),CH2C1 (1),CHC1 (2),CC1 (3),CHC12 (1)*,CC13 (1),CC12 (2),ACC1 (2),CH2N02 (1)*,CHN02 (2)*,ACN02 (2)*,CH2SH (1),C1(1)*,Br (1),CH≡C (1),C≡C (2)*,Cl—(C=C) (3)*,ACF (2),HCON(CH2)2 (2)*,CF3 (1),CF2 (2),CF (3),COO (2),CC12F (1),HCC1F (1),CC1F2 (1),FSpecial (1),CONH2 (1)*,CONHCH3 (1)*,CONHCH2 (1)*,CON(CH3)2 (1)*,CONCH2CH2 (3)*,CON(CH2)2 (3)*,C2H502 (1)*,C2H402 (2),CH3S (1),CH2S (2),CHS (3)*,C4H3S (1),C4H2S (2)*,Group j  (CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CR=CRm—CRp=CRk m, p G (0,1), K n G (0,2)","CH3-CHm=CH, m G (0,1), n G (0,2)","CH2-CHm=CH, m G (0,1), n G (0,2)","CH—CUm=CUn or C—CHm=CH/ m G (0,1), n G (0,2)",Alicyclic side-chain CcyclicCm m > 1,ch3ch3,CHCHO or CCHO*,CH3COCH2,CH3COCH or CH3COC,Ccyclic^=0,ACCHO*,CHCOOH or CCOOH*,ACCOOH*,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO*, CO—O—CO,ACCOO*,CHOH,COH,CHm(OH)CHn(OH),CHm cyclic-OH,CHn(OH)CHm(NHp),CHm(NH2)CHn(NH2)*,CHm cyclic—NHp—CHn cyclic*,CHnOCHm
CHp*,AC—O—CHm*,CHm cyclic—S—CHn cyclic,CHn
CHm—F,CHn
CHm—Br*,CHn
CHm—I*,ACBr*,ACI*,CHm(NH2)—COOH*
-2-methylnonane,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-undecane,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv b/fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv
deleted file mode 100644
index 7bfdb20..0000000
--- a/fuellib/data/fuelData/groupDecompositionData/hefa-WE-SAF-262714.csv
+++ /dev/null
@@ -1,33 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin (lower put as same),3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C05-Monocycloparaffin,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/exporters/converge.py b/fuellib/exporters/converge.py
index 4df94cb..0f8aedb 100644
--- a/fuellib/exporters/converge.py
+++ b/fuellib/exporters/converge.py
@@ -16,15 +16,10 @@
 The file contains mixture properties for the fuel, formatted for Converge.
 
 Usage:
-    fl-export-converge --fuel_name <fuel_name>
-
-Options:
-        --units <units>
-        --temp_min <temp_min> (K) 
-        --temp_max <temp_max> (K)
-        --temp_step <temp_step> (K)
-        --export_dir <export_dir>
-        --export_mix <export_mix>
+    fl-export-converge -f <fuel_name>
+
+For detailed options, run:
+    fl-export-converge -h
 """
 
 
diff --git a/fuellib/exporters/pele.py b/fuellib/exporters/pele.py
index fdea89e..338729a 100644
--- a/fuellib/exporters/pele.py
+++ b/fuellib/exporters/pele.py
@@ -19,20 +19,10 @@
 the fuel, formatted for Pele.
 
 Usage:
-    fl-export-pele --fuel_name <fuel_name>
-
-Options:
-        --units <mks or cgs>
-        --fuel_decomp_name <name of decomposition file, if not provided defaults to fuel_name>
-        --fuel_data_dir <directory where fuel data files are located>
-        --dep_fuel_names <list of fuels to deposit to>
-        --use_pp_keys <True or False to use PelePhysics key for each compound>
-        --export_dir <directory where file is exported>
-        --export_mix <True or False to export mixture properties of fuel>
-        --export_mix_name <name the mixture if different than fuel_name>
-        --fuel_data_dir <directory where fuel data files are located>
-        --liq_prop_model <gcm or mp>
-        --psat_antoine <True or False for Antoine coefficients in MP model>
+    fl-export-pele -f <fuel_name>
+
+For detailed options, run:
+    fl-export-pele -h
 """
 
 
diff --git a/fuellib/utilities/fuel_manager.py b/fuellib/utilities/fuel_manager.py
new file mode 100644
index 0000000..b6369c5
--- /dev/null
+++ b/fuellib/utilities/fuel_manager.py
@@ -0,0 +1,144 @@
+"""
+Utilities for managing and querying the fuel library.
+
+This module provides tools for listing and discovering available fuels
+in the FuelLib database, including source information and metadata.
+"""
+
+import os
+import argparse
+import fuellib as fl
+
+try:
+    import yaml
+    HAS_YAML = True
+except ImportError:
+    HAS_YAML = False
+
+
+def load_fuel_metadata(fuel_data_dir=None):
+    """
+    Load fuel metadata from YAML file if available.
+    
+    :param fuel_data_dir: Optional directory containing fuel data (e.g., customFuels/fuelData).
+                         If None, loads from embedded FuelLib data.
+    :type fuel_data_dir: str, optional
+    :return: Dictionary of fuel metadata or empty dict if not available
+    :rtype: dict
+    """
+    if not HAS_YAML:
+        return {}
+    
+    # Determine which metadata file to load
+    if fuel_data_dir is None:
+        # Load from embedded data
+        metadata_file = os.path.join(
+            fl.get_fueldata_dir(),
+            "fuel_metadata.yaml"
+        )
+    else:
+        # Load from custom directory
+        metadata_file = os.path.join(fuel_data_dir, "fuel_metadata.yaml")
+    
+    try:
+        if os.path.exists(metadata_file):
+            with open(metadata_file, 'r') as f:
+                data = yaml.safe_load(f)
+                return data.get('fuels', {}) if data else {}
+    except Exception as e:
+        pass
+    
+    return {}
+
+
+def list_fuels_main():
+    """
+    Entry point for fl-fuels command - List all available fuels in the library.
+    """
+    parser = argparse.ArgumentParser(
+        description="List all available fuels in the FuelLib library."
+    )
+
+    parser.add_argument(
+        "-dir",
+        "--fuel_data_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory where fuel data files are located (e.g., customFuels/fuelData). If not specified, uses embedded FuelLib data.",
+    )
+    parser.add_argument(
+        "-v",
+        "--verbose",
+        action="store_true",
+        help="Show detailed information including source and category for each fuel.",
+    )
+
+    args = parser.parse_args()
+
+    if args.fuel_data_dir is None:
+        fuel_data_dir = fl.get_fueldata_gc_dir()
+        metadata_dir = None  # Use embedded metadata
+    else:
+        fuel_data_dir = os.path.join(args.fuel_data_dir, "gcData")
+        metadata_dir = args.fuel_data_dir  # Load metadata from same custom directory
+
+    try:
+        # List all fuel files in the gcData directory
+        if not os.path.exists(fuel_data_dir):
+            print(f"Error: Fuel data directory not found: {fuel_data_dir}")
+            exit(1)
+
+        # Extract fuel names from *_init.csv files
+        fuel_files = [f for f in os.listdir(fuel_data_dir) if f.endswith("_init.csv")]
+        fuel_names = sorted([f.replace("_init.csv", "") for f in fuel_files])
+
+        if not fuel_names:
+            print("No fuels found in the specified directory.")
+            exit(0)
+
+        # Load metadata from the appropriate location
+        metadata = load_fuel_metadata(metadata_dir)
+
+        print("\n" + "=" * 80)
+        if args.fuel_data_dir:
+            print(f"Available Fuels in {args.fuel_data_dir}")
+        else:
+            print("Available Fuels in FuelLib")
+        print("=" * 80)
+        
+        if args.verbose and metadata:
+            # Verbose output with metadata
+            for i, fuel_name in enumerate(fuel_names, 1):
+                meta = metadata.get(fuel_name, {})
+                category = meta.get('category', 'Unknown')
+                source = meta.get('source')
+                description = meta.get('description', '')
+                
+                print(f"{i:2d}. {fuel_name}")
+                print(f"    Category:      {category}")
+                if source:
+                    print(f"    Source:        {source}")
+                if description:
+                    print(f"    Note:          {description}")
+                print()
+        else:
+            # Simple list output
+            for i, fuel_name in enumerate(fuel_names, 1):
+                if metadata and fuel_name in metadata:
+                    source = metadata[fuel_name].get('source', '')
+                    if source:
+                        print(f"{i:2d}. {fuel_name:<20} [{source}]")
+                    else:
+                        print(f"{i:2d}. {fuel_name}")
+                else:
+                    print(f"{i:2d}. {fuel_name}")
+        
+        print("=" * 80)
+        print(f"Total: {len(fuel_names)} fuel(s)")
+        if not args.verbose and metadata:
+            print("Use -v/--verbose for detailed information including source and category")
+        print("=" * 80 + "\n")
+
+    except Exception as e:
+        print(f"Error listing fuels: {e}")
+        exit(1)
diff --git a/fuellib/utilities/plotting.py b/fuellib/utilities/plotting.py
new file mode 100644
index 0000000..83fb928
--- /dev/null
+++ b/fuellib/utilities/plotting.py
@@ -0,0 +1,758 @@
+"""
+Utilities for plotting fuel properties and composition.
+
+This module provides functions for visualizing:
+- Fuel composition by compound and chemical family
+- Mixture properties over a temperature range
+"""
+
+import os
+import re
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import argparse
+import fuellib as fl
+
+
+def plot_composition(fuel_name, fuel_data_dir=None, output_dir=None, title=None, decomp_name=None, save=True, display=False):
+    """
+    Plot the composition of a given fuel.
+
+    :param fuel_name: Name of the fuel to plot.
+    :type fuel_name: str
+    :param fuel_data_dir: Directory where fuel data files are located (optional).
+    :type fuel_data_dir: str, optional
+    :param output_dir: Directory to save the plot (optional, default: current directory).
+    :type output_dir: str, optional
+    :param title: Title for the plots (optional, default: fuel_name, or "none"/"None" to disable).
+    :type title: str, optional
+    :param decomp_name: Name of the decomposition file to use (optional, default: fuel_name).
+    :type decomp_name: str, optional
+    :param save: Whether to save the plot to a file (optional, default: True).
+    :type save: bool, optional
+    :param display: Whether to display the plot with plt.show() (optional, default: False).
+    :type display: bool, optional
+    """
+    if output_dir is None:
+        output_dir = os.getcwd()
+
+    # Handle title
+    plot_title = None
+    if title is None:
+        plot_title = "Fuel Composition"
+    elif title.lower() != "none":
+        plot_title = title
+
+    if fuel_data_dir is None:
+        fuel_data_dir = fl.get_fueldata_dir()
+
+    if save and not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+
+    # Load the fuel
+    fuel = fl.fuel(fuel_name, decompName=decomp_name, fuelDataDir=fuel_data_dir)
+
+    # Create DataFrame with compound data
+    family_names = ["n-alkane", "iso-alkane", "cyclo-alkane", "aromatic"]
+    df = pd.DataFrame({
+        "Compound": fuel.compounds,
+        "Weight %": fuel.Y_0 * 100,
+        "Family": fuel.hc_type,
+    })
+
+    # Determine carbon number from compound name
+    def determine_carbon_number(compound):
+        """Extract carbon number from compound name."""
+        if "Toluene" in compound:
+            return 7
+        elif "benzene" in compound.lower():
+            match = re.search(r"C(\d+)", compound)
+            if match:
+                try:
+                    return int(match.group(1)) + 6
+                except ValueError:
+                    return np.nan
+            return np.nan
+        else:
+            match = re.search(r"C(\d+)", compound)
+            if match:
+                try:
+                    return int(match.group(1))
+                except ValueError:
+                    return np.nan
+            return np.nan
+
+    df["nC"] = df["Compound"].apply(determine_carbon_number)
+    
+    # Remove rows with weight % <= 0.01
+    df = df[df["Weight %"] > 0.01]
+
+    # Calculate family weights
+    family_weights = df.groupby("Family")["Weight %"].sum()
+
+    # Print composition table
+    print(f"\n{'=' * 50}")
+    print("Relative Weight % of Each Compound Family")
+    print(f"Fuel: {fuel_name}")
+    print("=" * 50)
+    for family, weight in family_weights.items():
+        print(f"  {family:<20} {weight:>8.2f}%")
+    print("-" * 50)
+    print(f"  {'Total':<20} {family_weights.sum():>8.2f}%")
+    print("=" * 50 + "\n")
+
+    # Color scheme
+    colors = {
+        "n-alkane": "#063C61",
+        "iso-alkane": "#2980B9",
+        "cyclo-alkane": "#91BCD8",
+        "alkene": "#663399",
+        "aromatic": "#7f7f7f",
+    }
+
+    # Create figure with two subplots side by side
+    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5), constrained_layout=True)
+
+    # Plot 1: Bar chart grouped by carbon number
+    spacing = [-0.2985, -0.099, 0.099, 0.2985]
+    N = df.nC.unique()
+    families_in_data = df["Family"].unique()
+
+    for k, family in enumerate(family_names):
+        if family not in families_in_data:
+            continue
+        df_family = df[df["Family"] == family]
+        nC = df_family.nC
+        weight = df_family["Weight %"]
+
+        # Check for duplicate carbon numbers and sum weights
+        if len(nC) != len(set(nC)):
+            df_grouped = df_family.groupby("nC")["Weight %"].sum().reset_index()
+            nC = df_grouped["nC"]
+            weight = df_grouped["Weight %"]
+
+        ax1.bar(
+            nC + spacing[k],
+            weight,
+            label=family,
+            alpha=1,
+            color=colors.get(family, "#7f7f7f"),
+            width=0.2,
+        )
+
+    ax1.set_xlabel("Carbon Number", fontsize=16)
+    ax1.set_xticks(sorted(N))
+    ax1.set_xticklabels(sorted(N), fontsize=14)
+    ax1.set_xlim(min(N) - 0.5, max(N) + 0.5)
+    ax1.set_ylabel("Weight %", fontsize=16)
+    ax1.tick_params(axis="y", labelsize=14)
+    ax1.grid(axis="y", alpha=0.3)
+    ax1.legend(fontsize=12, loc="upper left")
+
+    # Plot 2: Pie chart of family composition
+    # Only include families that have weight > 0
+    families_present = [f for f in family_names if f in family_weights.index and family_weights[f] > 0]
+    family_weights_sorted = family_weights[families_present]
+
+    # Create pie chart without labels/percentages (we'll add them outside)
+    wedges, texts = ax2.pie(
+        family_weights_sorted,
+        labels=None,
+        autopct=None,
+        startangle=140,
+        colors=[colors.get(family, "#7f7f7f") for family in family_weights_sorted.index],
+    )
+
+    # Add percentages outside the pie with arrows
+    for wedge, value, family in zip(wedges, family_weights_sorted.values, family_weights_sorted.index):
+        angle = (wedge.theta2 + wedge.theta1) / 2
+        radius = 1.3
+        x = radius * np.cos(np.radians(angle))
+        y = radius * np.sin(np.radians(angle))
+        
+        # Determine horizontal alignment based on position
+        ha = "left" if x > 0 else "right"
+        
+        # Add annotation with arrow
+        ax2.annotate(
+            f"{value:.1f}%",
+            xy=(np.cos(np.radians(angle)), np.sin(np.radians(angle))),
+            xytext=(x, y),
+            ha=ha,
+            va="center",
+            fontsize=14,
+            fontweight="bold",
+            arrowprops=dict(arrowstyle="-", color="black", lw=1.5),
+        )
+
+    ax2.axis("equal")
+
+    # Add a single figure-level legend for all families
+    legend_handles = [
+        plt.Rectangle((0, 0), 1, 1, fc=colors.get(family, "#7f7f7f"))
+        for family in family_weights_sorted.index
+    ]
+    fig.legend(
+        legend_handles,
+        family_weights_sorted.index,
+        loc="upper center",
+        bbox_to_anchor=(0.5, -0.02),
+        ncol=4,
+        fontsize=13,
+        frameon=True,
+    )
+
+    # Add title if specified
+    if plot_title:
+        fig.suptitle(plot_title, fontsize=16, fontweight="bold")
+
+    # Save the plot if requested
+    if save:
+        plot_file = os.path.join(output_dir, f"composition_{fuel_name}.png")
+        fig.savefig(plot_file, dpi=300, bbox_inches="tight")
+        print(f"Composition plot saved to {plot_file}")
+
+    # Display the plot if requested
+    if display:
+        plt.show()
+    else:
+        plt.close(fig)
+
+
+def plot_mixture_properties(
+    fuel_names, property_names=None, fuel_data_dir=None, output_dir=None, title=None, decomp_name=None, save=True, display=False
+):
+    """
+    Plot mixture properties for fuel(s) over a temperature range.
+
+    :param fuel_names: Name or list of fuel names to plot.
+    :type fuel_names: str or list[str]
+    :param property_names: Properties to plot (optional, defaults to standard set).
+    :type property_names: list[str], optional
+    :param fuel_data_dir: Directory where fuel data files are located (optional).
+    :type fuel_data_dir: str, optional
+    :param output_dir: Directory to save the plot (optional, default: current directory).
+    :type output_dir: str, optional
+    :param title: Title for the plot (optional, default: None).
+    :type title: str, optional
+    :param decomp_name: Name of the decomposition file to use (optional, default: fuel_name).
+    :type decomp_name: str, optional
+    :param save: Whether to save the plot to a file (optional, default: True).
+    :type save: bool, optional
+    :param display: Whether to display the plot with plt.show() (optional, default: False).
+    :type display: bool, optional
+    """
+    if output_dir is None:
+        output_dir = os.getcwd()
+
+    if fuel_data_dir is None:
+        fuel_data_dir = fl.get_fueldata_dir()
+
+    if save and not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+
+    # Handle single fuel_name or list
+    if isinstance(fuel_names, str):
+        fuel_names = [fuel_names]
+
+    # Default properties if not specified
+    if property_names is None:
+        property_names = [
+            "Density",
+            "Viscosity",
+            "VaporPressure",
+            "SurfaceTension",
+            "ThermalConductivity",
+        ]
+
+    # Default temperature ranges (in °C) for different properties
+    default_ranges_by_property = {
+        "Density": [-40, 40],
+        "Viscosity": [-40, 100],
+        "VaporPressure": [0, 125],
+        "SurfaceTension": [-10, 40],
+        "ThermalConductivity": [0, 60],
+    }
+
+    # Deprecated: fuel-specific ranges (kept for reference, now using property-based)
+    default_ranges = {
+        "posf10264": [-40, 125],
+        "posf10325": [-40, 125],
+        "posf10289": [-40, 125],
+        "posf11498": [-40, 125],
+        "jet-a": [-40, 125],
+        "hefa": [-40, 125],
+        "decane": [-50, 100],
+        "dodecane": [-50, 100],
+        "heptane": [-50, 100],
+    }
+
+    # Y-axis labels
+    ylab = {
+        "Density": r"Density [g/cm$^3$]",
+        "Viscosity": r"Viscosity [mm$^2$/s]",
+        "VaporPressure": r"Vapor Pressure [kPa]",
+        "SurfaceTension": r"Surface Tension [N/m]",
+        "ThermalConductivity": r"Thermal Conductivity [W/m/K]",
+    }
+
+    # Line specs for different fuels
+    line_specs_map = {
+        "decane": ("o", "o"),
+        "posf10325": ("o", "o"),
+        "dodecane": ("s", "s"),
+        "posf10289": ("s", "s"),
+        "heptane": ("D", "D"),
+        "posf10264": ("D", "D"),
+        "posf11498": ("^", "^"),
+        "jet-a": ("v", "v"),
+        "hefa": ("p", "p"),
+    }
+
+    # Color palette for cycling through distinct colors
+    color_palette = [
+        "#2980B9",  # Medium blue
+        "#e74c3c",  # Red
+        "#27ae60",  # Green
+        "#8e44ad",  # Purple
+        "#f39c12",  # Orange
+        "#1abc9c",  # Turquoise
+        "#c0392b",  # Dark red
+        "#16a085",  # Dark turquoise
+        "#d35400",  # Dark orange
+    ]
+
+    def get_line_spec(fuel_name, fuel_index=0):
+        """Get line color and marker style for fuel.
+        
+        :param fuel_name: Name of the fuel
+        :param fuel_index: Index of fuel in the plot (for cycling through colors)
+        :return: Tuple of (color, marker_style)
+        """
+        # Get marker style from map
+        marker_style = "o"  # Default
+        for key, spec in line_specs_map.items():
+            if key in fuel_name.lower():
+                marker_style = spec[0]
+                break
+        
+        # Get color from palette using fuel index
+        color = color_palette[fuel_index % len(color_palette)]
+        return (color, marker_style)
+
+    def get_legend_label(fuel_name):
+        """Create legend label for fuel."""
+        if "hefa" in fuel_name.lower():
+            return fuel_name.upper()
+        elif "posf" in fuel_name.lower():
+            return fuel_name[4:].upper()
+        else:
+            return fuel_name.capitalize()
+
+    def get_temp_range(prop_name):
+        """Get default temperature range for a property."""
+        return default_ranges_by_property.get(prop_name, [0, 100])  # Fallback to [0, 100]
+
+    def get_predictions_and_data(fuel_name, prop_name):
+        """Get predicted and experimental data for a property."""
+        fuel = fl.fuel(fuel_name, decompName=decomp_name, fuelDataDir=fuel_data_dir)
+
+        # Try to load experimental data
+        props_dir = fl.get_fueldata_props_dir()
+        data_file = os.path.join(props_dir, f"{fuel_name}.csv")
+
+        T_data = pd.Series(dtype=float)
+        prop_data = pd.Series(dtype=float)
+
+        if os.path.exists(data_file):
+            try:
+                data = pd.read_csv(data_file, skiprows=[1])
+                if prop_name in data.columns:
+                    mask = data[prop_name].notna()
+                    T_data = data.loc[mask, "Temperature"]
+                    prop_data = data.loc[mask, prop_name]
+            except Exception:
+                pass
+
+        # Generate predictions over temperature range
+        # First check if experimental data exists - use its range if available
+        if len(T_data) > 0:
+            # Use data range if available
+            T_pred = fl.C2K(np.linspace(T_data.min(), T_data.max(), 100))
+        else:
+            # Use property-specific default range
+            temp_min, temp_max = get_temp_range(prop_name)
+            T_pred = fl.C2K(np.linspace(temp_min, temp_max, 100))
+
+        pred = np.zeros_like(T_pred)
+        Y_li = fuel.Y_0
+
+        for i, T in enumerate(T_pred):
+            try:
+                if prop_name == "Density":
+                    pred[i] = fuel.mixture_density(Y_li, T) * 1.0e-03  # Convert to g/cm^3
+                elif prop_name == "VaporPressure":
+                    pred[i] = fuel.mixture_vapor_pressure(Y_li, T) * 1.0e-03  # Convert to kPa
+                elif prop_name == "Viscosity":
+                    pred[i] = fuel.mixture_kinematic_viscosity(Y_li, T) * 1.0e6  # Convert to mm^2/s
+                elif prop_name == "SurfaceTension":
+                    pred[i] = fuel.mixture_surface_tension(Y_li, T)
+                elif prop_name == "ThermalConductivity":
+                    pred[i] = fuel.mixture_thermal_conductivity(Y_li, T)
+            except Exception:
+                pred[i] = np.nan
+
+        return T_data, prop_data, T_pred, pred
+
+    # Create figure with subplots
+    n_props = len(property_names)
+    figW = 4.25 * n_props
+    fig, ax = plt.subplots(
+        1, n_props, figsize=(figW, 5.5), constrained_layout=True
+    )
+
+    # Handle single subplot case
+    if n_props == 1:
+        ax = [ax]
+
+    # Plot properties for each fuel
+    for i, prop_name in enumerate(property_names):
+        for fuel_idx, fuel_name in enumerate(fuel_names):
+            T_data, prop_data, T_pred, pred = get_predictions_and_data(
+                fuel_name, prop_name
+            )
+            line_color, marker_style = get_line_spec(fuel_name, fuel_index=fuel_idx)
+
+            # Plot predictions
+            ax[i].plot(
+                fl.K2C(T_pred),
+                pred,
+                "-",
+                color=line_color,
+                label=f"FuelLib: {get_legend_label(fuel_name)}",
+                linewidth=2,
+            )
+
+            # Plot experimental data if available
+            if len(prop_data) > 0:
+                ax[i].scatter(
+                    T_data,
+                    prop_data,
+                    marker=marker_style,
+                    label=f"Data: {get_legend_label(fuel_name)}",
+                    facecolors=line_color,
+                    s=50,
+                    zorder=5,
+                )
+
+        # Format subplot
+        ax[i].set_xlabel("T [°C]", fontsize=12)
+        ax[i].set_ylabel(ylab.get(prop_name, prop_name), fontsize=12)
+        ax[i].tick_params(labelsize=10)
+        ax[i].grid(alpha=0.3)
+
+    # Add legend
+    handles, labels = ax[0].get_legend_handles_labels()
+    fig.legend(
+        handles, labels, loc="outside lower center", ncol=len(fuel_names), fontsize=10
+    )
+
+    if title:
+        fig.suptitle(title, fontsize=14, fontweight="bold")
+
+    # Save the plot if requested
+    if save:
+        fuel_str = "_".join(fuel_names)
+        plot_file = os.path.join(output_dir, f"mixture_properties_{fuel_str}.png")
+        fig.savefig(plot_file, dpi=300, bbox_inches="tight")
+        print(f"Mixture properties plot saved to {plot_file}")
+
+    # Display the plot if requested
+    if display:
+        plt.show()
+    else:
+        plt.close(fig)
+
+
+def comp_main():
+    """
+    Entry point for fl-plt-comp command - Plot fuel composition.
+    """
+    parser = argparse.ArgumentParser(
+        description="Plot fuel composition by compound and chemical family."
+    )
+
+    # Fuel name (required)
+    parser.add_argument(
+        "-f",
+        "--fuel_name",
+        required=True,
+        metavar="NAME",
+        help="Name of the fuel to plot (required).",
+    )
+    parser.add_argument(
+        "-dir",
+        "--fuel_data_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory where fuel data files are located (optional).",
+    )
+    parser.add_argument(
+        "-o",
+        "--output_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory to save the plot (optional, default: current directory).",
+    )
+    parser.add_argument(
+        "-t",
+        "--title",
+        default=None,
+        metavar="TITLE",
+        help="Title for the plots (optional, default: fuel_name, or 'none' to disable).",
+    )
+    parser.add_argument(
+        "-decomp",
+        "--decomp_name",
+        default=None,
+        metavar="NAME",
+        help="Name of the decomposition file to use (optional, default: fuel_name).",
+    )
+    parser.add_argument(
+        "-d",
+        "--display",
+        action="store_true",
+        help="Display the plot with plt.show() (optional, default: False).",
+    )
+    parser.add_argument(
+        "-s",
+        "--save",
+        type=lambda x: str(x).lower() not in ["false", "0"],
+        default=True,
+        metavar="{true,false}",
+        help="Save the plot to a file (optional, default: True).",
+    )
+
+    args = parser.parse_args()
+
+    try:
+        plot_composition(
+            args.fuel_name,
+            fuel_data_dir=args.fuel_data_dir,
+            output_dir=args.output_dir,
+            title=args.title,
+            decomp_name=args.decomp_name,
+            save=args.save,
+            display=args.display,
+        )
+    except Exception as e:
+        print(f"Error plotting composition: {e}")
+        exit(1)
+
+
+def props_main():
+    """
+    Entry point for fl-plt-props command - Plot mixture properties.
+    """
+    parser = argparse.ArgumentParser(
+        description="Plot mixture properties over temperature range for fuel(s)."
+    )
+
+    parser.add_argument(
+        "-f",
+        "--fuel_names",
+        required=True,
+        nargs="+",
+        metavar="NAME",
+        help="Name(s) of fuel(s) to plot (required, space-separated for multiple).",
+    )
+    parser.add_argument(
+        "-p",
+        "--property_names",
+        nargs="+",
+        default=None,
+        metavar="PROP",
+        help="Properties to plot (optional). Options: Density, Viscosity, VaporPressure, SurfaceTension, ThermalConductivity",
+    )
+    parser.add_argument(
+        "-dir",
+        "--fuel_data_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory where fuel data files are located (optional).",
+    )
+    parser.add_argument(
+        "-o",
+        "--output_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory to save the plot (optional, default: current directory).",
+    )
+    parser.add_argument(
+        "-t",
+        "--title",
+        default=None,
+        metavar="TITLE",
+        help="Title for the plot (optional).",
+    )
+    parser.add_argument(
+        "-decomp",
+        "--decomp_name",
+        default=None,
+        metavar="NAME",
+        help="Name of the decomposition file to use (optional, default: fuel_name).",
+    )
+    parser.add_argument(
+        "-d",
+        "--display",
+        action="store_true",
+        help="Display the plot with plt.show() (optional, default: False).",
+    )
+    parser.add_argument(
+        "-s",
+        "--save",
+        type=lambda x: str(x).lower() not in ["false", "0"],
+        default=True,
+        metavar="{true,false}",
+        help="Save the plot to a file (optional, default: True).",
+    )
+
+    args = parser.parse_args()
+
+    try:
+        plot_mixture_properties(
+            args.fuel_names,
+            property_names=args.property_names,
+            fuel_data_dir=args.fuel_data_dir,
+            output_dir=args.output_dir,
+            title=args.title,
+            decomp_name=args.decomp_name,
+            save=args.save,
+            display=args.display,
+        )
+    except Exception as e:
+        print(f"Error plotting mixture properties: {e}")
+        exit(1)
+
+
+def main():
+    """
+    Main entry point for CLI usage.
+
+    This function handles routing between composition and mixture properties plotting.
+    """
+    parser = argparse.ArgumentParser(
+        description="Plot fuel composition or mixture properties."
+    )
+
+    # Subparsers for different plot types
+    subparsers = parser.add_subparsers(dest="plot_type", help="Type of plot to generate")
+
+    # Composition plotter subcommand
+    comp_parser = subparsers.add_parser("comp", help="Plot fuel composition")
+    comp_parser.add_argument(
+        "-f",
+        "--fuel_name",
+        required=True,
+        metavar="NAME",
+        help="Name of the fuel to plot (required).",
+    )
+    comp_parser.add_argument(
+        "-dir",
+        "--fuel_data_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory where fuel data files are located (optional).",
+    )
+    comp_parser.add_argument(
+        "-o",
+        "--output_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory to save the plot (optional, default: current directory).",
+    )
+    comp_parser.add_argument(
+        "-t",
+        "--title",
+        default=None,
+        metavar="TITLE",
+        help="Title for the plots (optional, default: fuel_name, or 'none' to disable).",
+    )
+
+    # Mixture properties plotter subcommand
+    props_parser = subparsers.add_parser(
+        "props", help="Plot mixture properties over temperature range"
+    )
+    props_parser.add_argument(
+        "-f",
+        "--fuel_names",
+        required=True,
+        nargs="+",
+        metavar="NAME",
+        help="Name(s) of fuel(s) to plot (required, space-separated for multiple).",
+    )
+    props_parser.add_argument(
+        "-p",
+        "--property_names",
+        nargs="+",
+        default=None,
+        metavar="PROP",
+        help="Properties to plot (optional). Options: Density, Viscosity, VaporPressure, SurfaceTension, ThermalConductivity",
+    )
+    props_parser.add_argument(
+        "-dir",
+        "--fuel_data_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory where fuel data files are located (optional).",
+    )
+    props_parser.add_argument(
+        "-o",
+        "--output_dir",
+        default=None,
+        metavar="PATH",
+        help="Directory to save the plot (optional, default: current directory).",
+    )
+    props_parser.add_argument(
+        "-t",
+        "--title",
+        default=None,
+        metavar="TITLE",
+        help="Title for the plot (optional).",
+    )
+
+    args = parser.parse_args()
+
+    if args.plot_type == "comp":
+        try:
+            plot_composition(
+                args.fuel_name,
+                fuel_data_dir=args.fuel_data_dir,
+                output_dir=args.output_dir,
+                title=args.title,
+            )
+        except Exception as e:
+            print(f"Error plotting composition: {e}")
+            exit(1)
+
+    elif args.plot_type == "props":
+        try:
+            plot_mixture_properties(
+                args.fuel_names,
+                property_names=args.property_names,
+                fuel_data_dir=args.fuel_data_dir,
+                output_dir=args.output_dir,
+                title=args.title,
+            )
+        except Exception as e:
+            print(f"Error plotting mixture properties: {e}")
+            exit(1)
+
+    else:
+        # If no subcommand specified, show help
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/pyproject.toml b/pyproject.toml
index 4a769b9..f0744c2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,6 +31,7 @@ dependencies = [
     "numpy>=1.19.0",
     "pandas>=1.0.0",
     "scipy>=1.5.0",
+    "pyyaml>=5.0",
     "importlib-resources>=5.0; python_version < '3.9'",
 ]
 
@@ -53,6 +54,9 @@ fl-format = "fuellib.format_code:main"
 fl-eps2K = "fuellib.utilities.transport_props_converter:eps2K_main"
 fl-C2K = "fuellib.utilities.temp_converter:c2k_main"
 fl-K2C = "fuellib.utilities.temp_converter:k2c_main"
+fl-plt-comp = "fuellib.utilities.plotting:comp_main"
+fl-plt-props = "fuellib.utilities.plotting:props_main"
+fl-fuels = "fuellib.utilities.fuel_manager:list_fuels_main"
 
 [project.urls]
 Repository = "https://github.com/NatLabRockies/FuelLib"
diff --git a/tests/test_hc_identification.py b/tests/test_hc_identification.py
new file mode 100644
index 0000000..6a58f88
--- /dev/null
+++ b/tests/test_hc_identification.py
@@ -0,0 +1,276 @@
+"""Test hydrocarbon identification: nC, nH, and hc_type determination."""
+import re
+from pathlib import Path
+import pytest
+import pandas as pd
+import fuellib as fl
+
+
+def get_available_fuels():
+    """Discover available fuels from fuelData/gcData directory."""
+    gcdata_dir = Path(__file__).parent.parent / "fuelData" / "gcData"
+    fuels = sorted([
+        f.name.replace('_init.csv', '')
+        for f in gcdata_dir.glob('*_init.csv')
+    ])
+    return fuels
+
+
+def extract_c_h_from_formula(formula):
+    """Extract carbon and hydrogen counts from formula string (e.g., C7H8 -> (7, 8))."""
+    if not formula or pd.isna(formula):
+        return None, None
+    
+    formula = str(formula).strip()
+    # Match CnHm pattern
+    match = re.match(r'C(\d+)H(\d+)', formula)
+    if match:
+        return int(match.group(1)), int(match.group(2))
+    return None, None
+
+
+def infer_hc_type_from_formula(formula, compound_name=""):
+    """Infer expected hydrocarbon type from formula."""
+    if not formula or pd.isna(formula):
+        return None
+    
+    nc, nh = extract_c_h_from_formula(formula)
+    if nc is None:
+        return None
+    
+    # Check for aromatic patterns (diaromatics, cycloaromatics, benzenes)
+    if "Diaromatic" in compound_name or "aromatic" in compound_name.lower():
+        return "aromatic"
+    if "Benzene" in compound_name or "Toluene" in compound_name:
+        return "aromatic"
+    
+    # Check for alkene patterns
+    if "Alkene" in compound_name:
+        return "alkene"
+    
+    # Check for cycloalkane patterns
+    if "Cycloparaffin" in compound_name or "Cycloaromatic" in compound_name:
+        # These have aromatic rings attached, classified as aromatic
+        if "Cycloaromatic" in compound_name:
+            return "aromatic"
+        return "cyclo-alkane"
+    
+    # For alkanes, check saturation
+    # Alkanes: CnH(2n+2)
+    if nh == 2 * nc + 2:
+        # Check if it's iso or n based on name
+        if "Isoparaffin" in compound_name or "iso" in compound_name.lower():
+            return "iso-alkane"
+        elif "n-C" in compound_name or compound_name.startswith("n-"):
+            return "n-alkane"
+        else:
+            # Default branched alkanes to iso-alkane
+            return "iso-alkane"
+    
+    # Monocycloalkanes: CnH(2n)
+    if "Monocyclo" in compound_name and nh == 2 * nc:
+        return "cyclo-alkane"
+    
+    # Dicycloalkanes: CnH(2n-2)
+    if "Dicyclo" in compound_name and nh == 2 * nc - 2:
+        return "cyclo-alkane"
+    
+    # Tricycloalkanes: CnH(2n-4)
+    if "Tricyclo" in compound_name and nh == 2 * nc - 4:
+        return "cyclo-alkane"
+    
+    return None
+
+
+class TestHCIdentification:
+    """Test suite for hydrocarbon type, carbon, and hydrogen identification."""
+
+    @pytest.mark.parametrize("fuel_name", get_available_fuels())
+    def test_hc_identification(self, fuel_name):
+        """Comprehensive test for HC identification: nC, nH, hc_type, and compound classification."""
+        # Load fuel
+        fuel = fl.fuel(fuel_name)
+        
+        print(f"\n{'='*60}")
+        print(f"Fuel: {fuel_name}")
+        print(f"{'='*60}")
+        print(f"Compounds: {fuel.num_compounds}")
+        
+        # === Test 1: nC matches reference formula ===
+        mismatches = []
+        for compound, formula, nc_calc in zip(fuel.compounds, fuel.formulas, fuel.nC):
+            if not formula or pd.isna(formula):
+                continue
+            
+            nc_ref, _ = extract_c_h_from_formula(formula)
+            
+            if nc_ref is not None:
+                tolerance = 2.0 if "Cycloaromatic" in compound else 0.1
+                
+                if abs(nc_calc - nc_ref) > tolerance:
+                    mismatches.append(
+                        f"{compound}: calculated nC={nc_calc:.1f}, expected nC={nc_ref}"
+                    )
+        
+        assert not mismatches, (
+            f"Carbon count mismatches:\n" + "\n".join(mismatches)
+        )
+        print(f"✓ nC from decomp matches reference formula")
+        
+        # === Test 2: nH matches reference formula ===
+        mismatches = []
+        for compound, formula, nh_calc in zip(fuel.compounds, fuel.formulas, fuel.nH):
+            if not formula or pd.isna(formula):
+                continue
+            
+            _, nh_ref = extract_c_h_from_formula(formula)
+            
+            if nh_ref is not None:
+                tolerance = 2.0 if "Cycloaromatic" in compound else 0.1
+                
+                if abs(nh_calc - nh_ref) > tolerance:
+                    mismatches.append(
+                        f"{compound}: calculated nH={nh_calc:.1f}, expected nH={nh_ref}"
+                    )
+        
+        assert not mismatches, (
+            f"Hydrogen count mismatches:\n" + "\n".join(mismatches)
+        )
+        print(f"✓ nH from decomp matches reference formula")
+        
+        # === Test 3: hc_type is consistent ===
+        valid_types = {"n-alkane", "iso-alkane", "cyclo-alkane", "alkene", "aromatic"}
+        
+        mismatches = []
+        for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
+            if hc_type not in valid_types:
+                mismatches.append(
+                    f"{compound}: invalid hc_type='{hc_type}' "
+                    f"(must be one of {valid_types})"
+                )
+        
+        assert not mismatches, (
+            f"Invalid hydrocarbon types:\n" + "\n".join(mismatches)
+        )
+        print(f"✓ hc_type from decomp is consistent")
+        
+        # === Test 4: hc_type matches formula-derived expectations ===
+        mismatches = []
+        for compound, formula, hc_type_calc in zip(fuel.compounds, fuel.formulas, fuel.hc_type):
+            if not formula or pd.isna(formula):
+                continue
+            
+            hc_type_expected = infer_hc_type_from_formula(formula, compound)
+            
+            if hc_type_expected is not None:
+                if hc_type_calc != hc_type_expected:
+                    mismatches.append(
+                        f"{compound}: calculated hc_type='{hc_type_calc}', "
+                        f"expected hc_type='{hc_type_expected}' "
+                        f"(formula: {formula})"
+                    )
+        
+        assert not mismatches, (
+            f"Hydrocarbon type mismatches:\n" + "\n".join(mismatches)
+        )
+        print(f"✓ hc_type from decomp matches formula-derived expectations")
+        
+        # === Test 5: Aromatic compounds identified ===
+        aromatic_names = {
+            compound for compound, formula in zip(fuel.compounds, fuel.formulas)
+            if formula and ("Benzene" in compound or "aromatic" in compound.lower() or "naphthalene" in formula.lower())
+        }
+        
+        mismatches = []
+        for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
+            if compound in aromatic_names:
+                if hc_type != "aromatic":
+                    mismatches.append(
+                        f"{compound}: should be aromatic but got '{hc_type}'"
+                    )
+        
+        assert not mismatches, (
+            f"Aromatic compounds not correctly identified:\n" + "\n".join(mismatches)
+        )
+        aromatic_count = len(aromatic_names) if aromatic_names else 0
+        print(f"✓ aromatic compounds identified correctly ({aromatic_count} found)")
+        
+        # === Test 6: n-alkane compounds identified ===
+        nalkane_names = {
+            compound for compound in fuel.compounds
+            if compound.startswith("n-C")
+        }
+        
+        mismatches = []
+        for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
+            if compound in nalkane_names:
+                if hc_type != "n-alkane":
+                    mismatches.append(
+                        f"{compound}: should be n-alkane but got '{hc_type}'"
+                    )
+        
+        assert not mismatches, (
+            f"n-alkane compounds not correctly identified:\n" + "\n".join(mismatches)
+        )
+        nalkane_count = len(nalkane_names) if nalkane_names else 0
+        print(f"✓ n-alkane compounds identified correctly ({nalkane_count} found)")
+        
+        # === Test 7: Cycloalkane compounds identified ===
+        cyclo_names = {
+            compound for compound in fuel.compounds
+            if "cycloparaffin" in compound.lower() and "aromatic" not in compound.lower()
+        }
+        
+        mismatches = []
+        for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
+            if compound in cyclo_names:
+                if hc_type != "cyclo-alkane":
+                    mismatches.append(
+                        f"{compound}: should be cyclo-alkane but got '{hc_type}'"
+                    )
+        
+        assert not mismatches, (
+            f"Cycloalkane compounds not correctly identified:\n" + "\n".join(mismatches)
+        )
+        cyclo_count = len(cyclo_names) if cyclo_names else 0
+        print(f"✓ cyclo-alkane compounds identified correctly ({cyclo_count} found)")
+        
+        # === Test 7b: iso-alkane compounds identified ===
+        isoalkane_names = {
+            compound for compound in fuel.compounds
+            if "Isoparaffin" in compound
+        }
+        
+        mismatches = []
+        for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
+            if compound in isoalkane_names:
+                if hc_type != "iso-alkane":
+                    mismatches.append(
+                        f"{compound}: should be iso-alkane but got '{hc_type}'"
+                    )
+        
+        assert not mismatches, (
+            f"iso-alkane compounds not correctly identified:\n" + "\n".join(mismatches)
+        )
+        isoalkane_count = len(isoalkane_names) if isoalkane_names else 0
+        print(f"✓ iso-alkane compounds identified correctly ({isoalkane_count} found)")
+        
+        # === Test 8: Alkene compounds identified ===
+        alkene_names = {
+            compound for compound in fuel.compounds
+            if "Alkene" in compound
+        }
+        
+        mismatches = []
+        for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
+            if compound in alkene_names:
+                if hc_type != "alkene":
+                    mismatches.append(
+                        f"{compound}: should be alkene but got '{hc_type}'"
+                    )
+        
+        assert not mismatches, (
+            f"Alkene compounds not correctly identified:\n" + "\n".join(mismatches)
+        )
+        alkene_count = len(alkene_names) if alkene_names else 0
+        print(f"✓ alkene compounds identified correctly ({alkene_count} found)")
diff --git a/tutorials/compositionPlots.py b/tutorials/compositionPlots.py
index 1d2d831..ac41ecd 100644
--- a/tutorials/compositionPlots.py
+++ b/tutorials/compositionPlots.py
@@ -9,82 +9,57 @@
 
 fuel = fl.fuel(fuel_name)
 
-# Classify compounds into families
-aromatic = [
-    True if re.search(r"Toluene|Benzene|Aromatic", comp, re.IGNORECASE) else False
-    for comp in fuel.compounds
-]
-n_alkane = [
-    True if re.search(r"n-C", comp, re.IGNORECASE) else False for comp in fuel.compounds
-]
-isoalkane = [
-    True if re.search(r"Isoparaffin", comp, re.IGNORECASE) else False
-    for comp in fuel.compounds
-]
-cycloalkane = [
-    True if re.search(r"Cycloparaffin", comp, re.IGNORECASE) else False
-    for comp in fuel.compounds
-]
-
 # Create a DataFrame with the compounds and their families
-colNames = ["Compound", "Weight %"]
-df = pd.DataFrame({"Compounds": fuel.compounds, "Weight %": fuel.Y_0 * 100})
-# Append classification as a new column
+# Use the hydrocarbon type classification from group decompositions
 family_names = ["n-alkane", "iso-alkane", "cyclo-alkane", "aromatic"]
-df["Family"] = np.select(
-    [n_alkane, isoalkane, cycloalkane, aromatic], family_names, default="unknown"
-)
+df = pd.DataFrame({
+    "Compound": fuel.compounds,
+    "Weight %": fuel.Y_0 * 100,
+    "Family": fuel.hc_type,
+})
 
-
-# Determine carbon number by row:
+# Determine carbon number from compound name
 def determine_carbon_number(compound):
+    """Extract carbon number from compound name."""
     if "Toluene" in compound:
         return 7
     elif "benzene" in compound.lower():
-        # Extract the number after "C" and add 7
         match = re.search(r"C(\d+)", compound)
         if match:
             try:
-                carbon_number = int(match.group(1))
-                return carbon_number + 6
+                return int(match.group(1)) + 6
             except ValueError:
-                return np.nan  # Handle cases where extraction fails
-        else:
-            return np.nan  # No match found
+                return np.nan
+        return np.nan
     else:
-        # Extract the number after "C" in either format
         match = re.search(r"C(\d+)", compound)
         if match:
             try:
                 return int(match.group(1))
             except ValueError:
-                return np.nan  # Handle cases where extraction fails
-        else:
-            return np.nan  # No match found
+                return np.nan
+        return np.nan
 
+df["nC"] = df["Compound"].apply(determine_carbon_number)
 
-# Apply the function to the column and append as a new column
-df["nC"] = df.Compounds.apply(determine_carbon_number)
+# Remove rows with weight % <= 0.01
+df = df[df["Weight %"] > 0.01]
 
-# Determine relative weight % of each family
+# Calculate family weights
 family_weights = df.groupby("Family")["Weight %"].sum()
 
-# Print the sum of weight % for each family
-print("\n" + "=" * 45)
+# Print composition table
+print(f"\n{'=' * 50}")
 print("Relative Weight % of Each Compound Family")
 print(f"Fuel: {fuel_name}")
-print("=" * 45)
+print("=" * 50)
 for family, weight in family_weights.items():
     print(f"  {family:<20} {weight:>8.2f}%")
-print("-" * 45)
+print("-" * 50)
 print(f"  {'Total':<20} {family_weights.sum():>8.2f}%")
-print("=" * 45 + "\n")
-
-# Remove rows <= 0.01 in weight % column at max(nC)
-df = df[df["Weight %"] > 0.01]
+print("=" * 50 + "\n")
 
-# Plotting parameters
-spacing = [-0.2985, -0.099, 0.099, 0.2985]
+# Color scheme
 colors = {
     "n-alkane": "#063C61",
     "iso-alkane": "#2980B9",
@@ -92,60 +67,99 @@ def determine_carbon_number(compound):
     "aromatic": "#7f7f7f",
 }
 
-# Bar plot of the number of compounds in each family
-plt.figure(figsize=(7, 5))
+# Create figure with two subplots side by side
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5), constrained_layout=True)
+
+# Plot 1: Bar chart grouped by carbon number
+spacing = [-0.2985, -0.099, 0.099, 0.2985]
 N = df.nC.unique()
 families_in_data = df["Family"].unique()
+
 for k, family in enumerate(family_names):
     if family not in families_in_data:
-        # Only plot families that actually exist in the data
         continue
-    nC = df[df["Family"] == family].nC
-    weight = df[df["Family"] == family]["Weight %"]
+    df_family = df[df["Family"] == family]
+    nC = df_family.nC
+    weight = df_family["Weight %"]
 
-    # check duplicate nC values
+    # Check for duplicate carbon numbers and sum weights
     if len(nC) != len(set(nC)):
-        # If there are duplicates, sum the weights for each nC
-        df_grouped = (
-            df[df["Family"] == family].groupby("nC")["Weight %"].sum().reset_index()
-        )
+        df_grouped = df_family.groupby("nC")["Weight %"].sum().reset_index()
         nC = df_grouped["nC"]
         weight = df_grouped["Weight %"]
-    plt.bar(
-        nC + spacing[k], weight, label=family, alpha=1, color=colors[family], width=0.2
+
+    ax1.bar(
+        nC + spacing[k],
+        weight,
+        label=family,
+        alpha=1,
+        color=colors.get(family, "#7f7f7f"),
+        width=0.2,
     )
-    plt.xticks(df.nC.unique(), fontsize=14)
-    plt.xlim(min(N) - 0.5, max(N) + 0.5)
-
-plt.xlabel("Carbon Number", fontsize=16)
-plt.xticks(df.nC.unique(), fontsize=14)
-plt.yticks(fontsize=14)
-plt.ylabel("Weight %", fontsize=16)
-plt.title("Fuel Composition", fontsize=16, fontweight="bold")
-plt.legend(fontsize=14)
-plt.tight_layout()
-
-# Plot pie chart of family weights
-family_names = family_weights.index.tolist()
-plt.figure(figsize=(7, 5))
-plt.pie(
-    family_weights,
+
+ax1.set_xlabel("Carbon Number", fontsize=16)
+ax1.set_xticks(sorted(N))
+ax1.set_xticklabels(sorted(N), fontsize=14)
+ax1.set_xlim(min(N) - 0.5, max(N) + 0.5)
+ax1.set_ylabel("Weight %", fontsize=16)
+ax1.tick_params(axis="y", labelsize=14)
+ax1.grid(axis="y", alpha=0.3)
+ax1.legend(fontsize=12, loc="upper left")
+
+# Plot 2: Pie chart of family composition
+# Only include families that have weight > 0
+families_present = [f for f in family_names if f in family_weights.index and family_weights[f] > 0]
+family_weights_sorted = family_weights[families_present]
+
+# Create pie chart without labels/percentages (we'll add them outside)
+wedges, texts = ax2.pie(
+    family_weights_sorted,
     labels=None,
-    autopct="%1.1f%%",
+    autopct=None,
     startangle=140,
-    colors=[colors[family] for family in family_names],
-    textprops={"fontsize": 16, "weight": "bold", "color": "white"},
+    colors=[colors.get(family, "#7f7f7f") for family in family_weights_sorted.index],
 )
+
+# Add percentages outside the pie with arrows
+for wedge, value, family in zip(wedges, family_weights_sorted.values, family_weights_sorted.index):
+    angle = (wedge.theta2 + wedge.theta1) / 2
+    radius = 1.3
+    x = radius * np.cos(np.radians(angle))
+    y = radius * np.sin(np.radians(angle))
+    
+    # Determine horizontal alignment based on position
+    ha = "left" if x > 0 else "right"
+    
+    # Add annotation with arrow
+    ax2.annotate(
+        f"{value:.1f}%",
+        xy=(np.cos(np.radians(angle)), np.sin(np.radians(angle))),
+        xytext=(x, y),
+        ha=ha,
+        va="center",
+        fontsize=14,
+        fontweight="bold",
+        arrowprops=dict(arrowstyle="-", color="black", lw=1.5),
+    )
+
+ax2.axis("equal")
+
+# Add a single figure-level legend for all families
 legend_handles = [
-    plt.Rectangle((0, 0), 1, 1, fc=colors[family]) for family in family_names
+    plt.Rectangle((0, 0), 1, 1, fc=colors.get(family, "#7f7f7f"))
+    for family in family_weights_sorted.index
 ]
-plt.legend(
+fig.legend(
     legend_handles,
-    family_names,
-    loc="center left",
-    bbox_to_anchor=(1, 0.5),
-    fontsize=14,
+    family_weights_sorted.index,
+    loc="upper center",
+    bbox_to_anchor=(0.5, -0.02),
+    ncol=4,
+    fontsize=13,
+    frameon=True,
 )
-plt.axis("equal")
-plt.tight_layout()
+
+fig.suptitle("Fuel Composition", fontsize=16, fontweight="bold")
+
 plt.show()
+

From 86d83bfb0a6a94c40d392b85e121cc3d2fe30310 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 08:34:20 -0600
Subject: [PATCH 24/48] Format

---
 fuellib/__init__.py               |  24 ++---
 fuellib/_data_locator.py          |  43 ++++----
 fuellib/utilities/fuel_manager.py |  36 +++----
 fuellib/utilities/plotting.py     |  77 +++++++++----
 tests/test_hc_identification.py   | 173 +++++++++++++++---------------
 tutorials/compositionPlots.py     |  27 +++--
 6 files changed, 205 insertions(+), 175 deletions(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index fb16ca6..74fd596 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -110,11 +110,11 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
         # 2: cycloparaffins
         # 3: olefins
         self.fam = np.zeros(self.num_compounds, dtype=int)
-        
+
         # Classify hydrocarbon by type (n-alkane, iso-alkane, cyclo-alkane, aromatic)
         # Based on group decompositions from Constantinou-Gani method
-        self.hc_type = np.array([''] * self.num_compounds, dtype=object)
-        
+        self.hc_type = np.array([""] * self.num_compounds, dtype=object)
+
         aromatics = 10  # starting index for aromatic groups
         num_aromatics = 5
         branching = 78  # starting index for branching groups (Group j (CH3)2CH through C(CH3)2C(CH3)2)
@@ -123,26 +123,26 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
         num_cyclos = 5
         olefins = 4  # starting index for double bound groups
         num_olefins = 6
-        
+
         for i in range(self.num_compounds):
             # Check if aromatic: does it contain AC's?
             if sum(self.Nij[i, aromatics : aromatics + num_aromatics]) > 0:
                 self.fam[i] = 1
-                self.hc_type[i] = 'aromatic'
+                self.hc_type[i] = "aromatic"
             # Check if cycloparaffin: does it contain rings?
             elif sum(self.Nij[i, cyclos : cyclos + num_cyclos]) > 0:
                 self.fam[i] = 2
-                self.hc_type[i] = 'cyclo-alkane'
+                self.hc_type[i] = "cyclo-alkane"
             # Check if olefin: does it contain double bonds?
             elif sum(self.Nij[i, olefins : olefins + num_olefins]) > 0:
                 self.fam[i] = 3
-                self.hc_type[i] = 'alkene'
+                self.hc_type[i] = "alkene"
             # Check for branching groups (CH, C quaternary carbons)
             elif sum(self.Nij[i, branching : branching + num_branching]) > 0:
-                self.hc_type[i] = 'iso-alkane'
+                self.hc_type[i] = "iso-alkane"
             else:
                 # Only CH3 and CH2 -> n-alkane (linear)
-                self.hc_type[i] = 'n-alkane'
+                self.hc_type[i] = "n-alkane"
 
         # Calculate carbon and hydrogen numbers from first-order group decomposition
         # For jet fuels, use only alkyl (0-3) and aromatic (10-14) groups
@@ -175,16 +175,16 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
         self.compounds = [
             compound.strip() for compound in df_gcxgc["Compound"].to_list()
         ]
-        
+
         # Load molecular formulas if available
         if "Formula" in df_gcxgc.columns:
             self.formulas = [
-                formula.strip() if pd.notna(formula) else None 
+                formula.strip() if pd.notna(formula) else None
                 for formula in df_gcxgc["Formula"].to_list()
             ]
         else:
             self.formulas = None
-            
+
         if "PelePhysics Key" in df_gcxgc.columns:
             self.pelephysics_keys = [
                 key.strip() for key in df_gcxgc["PelePhysics Key"].to_list()
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index 13b5eef..c532f0e 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -15,6 +15,7 @@
 
 try:
     import yaml
+
     HAS_YAML = True
 except ImportError:
     HAS_YAML = False
@@ -85,7 +86,7 @@ def get_fueldata_props_dir():
 def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
     """
     Load decomposition name mapping from fuel_metadata.yaml.
-    
+
     :param fuel_name: Name of the fuel to look up.
     :type fuel_name: str
     :param fuel_data_dir: Directory containing fuel data. If None, uses embedded data.
@@ -98,22 +99,16 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
         raise ImportError(
             "PyYAML is required to use custom fuels. Install it with: pip install pyyaml"
         )
-    
+
     if fuel_data_dir is None:
         # Use embedded data
-        metadata_file = os.path.join(
-            get_fueldata_dir(),
-            "fuel_metadata.yaml"
-        )
+        metadata_file = os.path.join(get_fueldata_dir(), "fuel_metadata.yaml")
         data_dir_display = "FuelLib embedded data"
     else:
         # Use custom data directory
-        metadata_file = os.path.join(
-            fuel_data_dir,
-            "fuel_metadata.yaml"
-        )
+        metadata_file = os.path.join(fuel_data_dir, "fuel_metadata.yaml")
         data_dir_display = fuel_data_dir
-    
+
     if not os.path.exists(metadata_file):
         raise FileNotFoundError(
             f"fuel_metadata.yaml not found in {data_dir_display}.\n\n"
@@ -125,17 +120,17 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
             f"      decomp_name: {fuel_name}  # or name of your .csv file in groupDecompositionData/\n\n"
             f"See the 'Adding Custom Fuels' documentation for more details."
         )
-    
+
     try:
-        with open(metadata_file, 'r') as f:
+        with open(metadata_file, "r") as f:
             data = yaml.safe_load(f)
     except Exception as e:
         raise ValueError(
             f"Error parsing {metadata_file}:\n{e}\n\n"
             f"Make sure the file is valid YAML with proper indentation."
         )
-    
-    if not data or 'fuels' not in data:
+
+    if not data or "fuels" not in data:
         raise ValueError(
             f"Invalid metadata file {metadata_file}.\n"
             f"File must contain a 'fuels' section.\n\n"
@@ -144,9 +139,9 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
             f"    {fuel_name}:\n"
             f"      decomp_name: {fuel_name}"
         )
-    
-    if fuel_name not in data['fuels']:
-        available = list(data['fuels'].keys())
+
+    if fuel_name not in data["fuels"]:
+        available = list(data["fuels"].keys())
         raise KeyError(
             f"Fuel '{fuel_name}' not found in {metadata_file}.\n\n"
             f"Available fuels: {', '.join(available) if available else 'none'}\n\n"
@@ -155,10 +150,10 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
             f"    {fuel_name}:\n"
             f"      decomp_name: {fuel_name}"
         )
-    
-    fuel_meta = data['fuels'][fuel_name]
-    
-    if 'decomp_name' not in fuel_meta:
+
+    fuel_meta = data["fuels"][fuel_name]
+
+    if "decomp_name" not in fuel_meta:
         raise ValueError(
             f"Incomplete metadata for fuel '{fuel_name}' in {metadata_file}.\n\n"
             f"Required fields:\n"
@@ -166,5 +161,5 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
             f"Current entry:\n"
             f"  {fuel_name}: {fuel_meta}"
         )
-    
-    return fuel_meta['decomp_name']
+
+    return fuel_meta["decomp_name"]
diff --git a/fuellib/utilities/fuel_manager.py b/fuellib/utilities/fuel_manager.py
index b6369c5..e0168e9 100644
--- a/fuellib/utilities/fuel_manager.py
+++ b/fuellib/utilities/fuel_manager.py
@@ -11,6 +11,7 @@
 
 try:
     import yaml
+
     HAS_YAML = True
 except ImportError:
     HAS_YAML = False
@@ -19,7 +20,7 @@
 def load_fuel_metadata(fuel_data_dir=None):
     """
     Load fuel metadata from YAML file if available.
-    
+
     :param fuel_data_dir: Optional directory containing fuel data (e.g., customFuels/fuelData).
                          If None, loads from embedded FuelLib data.
     :type fuel_data_dir: str, optional
@@ -28,26 +29,23 @@ def load_fuel_metadata(fuel_data_dir=None):
     """
     if not HAS_YAML:
         return {}
-    
+
     # Determine which metadata file to load
     if fuel_data_dir is None:
         # Load from embedded data
-        metadata_file = os.path.join(
-            fl.get_fueldata_dir(),
-            "fuel_metadata.yaml"
-        )
+        metadata_file = os.path.join(fl.get_fueldata_dir(), "fuel_metadata.yaml")
     else:
         # Load from custom directory
         metadata_file = os.path.join(fuel_data_dir, "fuel_metadata.yaml")
-    
+
     try:
         if os.path.exists(metadata_file):
-            with open(metadata_file, 'r') as f:
+            with open(metadata_file, "r") as f:
                 data = yaml.safe_load(f)
-                return data.get('fuels', {}) if data else {}
+                return data.get("fuels", {}) if data else {}
     except Exception as e:
         pass
-    
+
     return {}
 
 
@@ -105,15 +103,15 @@ def list_fuels_main():
         else:
             print("Available Fuels in FuelLib")
         print("=" * 80)
-        
+
         if args.verbose and metadata:
             # Verbose output with metadata
             for i, fuel_name in enumerate(fuel_names, 1):
                 meta = metadata.get(fuel_name, {})
-                category = meta.get('category', 'Unknown')
-                source = meta.get('source')
-                description = meta.get('description', '')
-                
+                category = meta.get("category", "Unknown")
+                source = meta.get("source")
+                description = meta.get("description", "")
+
                 print(f"{i:2d}. {fuel_name}")
                 print(f"    Category:      {category}")
                 if source:
@@ -125,18 +123,20 @@ def list_fuels_main():
             # Simple list output
             for i, fuel_name in enumerate(fuel_names, 1):
                 if metadata and fuel_name in metadata:
-                    source = metadata[fuel_name].get('source', '')
+                    source = metadata[fuel_name].get("source", "")
                     if source:
                         print(f"{i:2d}. {fuel_name:<20} [{source}]")
                     else:
                         print(f"{i:2d}. {fuel_name}")
                 else:
                     print(f"{i:2d}. {fuel_name}")
-        
+
         print("=" * 80)
         print(f"Total: {len(fuel_names)} fuel(s)")
         if not args.verbose and metadata:
-            print("Use -v/--verbose for detailed information including source and category")
+            print(
+                "Use -v/--verbose for detailed information including source and category"
+            )
         print("=" * 80 + "\n")
 
     except Exception as e:
diff --git a/fuellib/utilities/plotting.py b/fuellib/utilities/plotting.py
index 83fb928..231174f 100644
--- a/fuellib/utilities/plotting.py
+++ b/fuellib/utilities/plotting.py
@@ -15,7 +15,15 @@
 import fuellib as fl
 
 
-def plot_composition(fuel_name, fuel_data_dir=None, output_dir=None, title=None, decomp_name=None, save=True, display=False):
+def plot_composition(
+    fuel_name,
+    fuel_data_dir=None,
+    output_dir=None,
+    title=None,
+    decomp_name=None,
+    save=True,
+    display=False,
+):
     """
     Plot the composition of a given fuel.
 
@@ -55,11 +63,13 @@ def plot_composition(fuel_name, fuel_data_dir=None, output_dir=None, title=None,
 
     # Create DataFrame with compound data
     family_names = ["n-alkane", "iso-alkane", "cyclo-alkane", "aromatic"]
-    df = pd.DataFrame({
-        "Compound": fuel.compounds,
-        "Weight %": fuel.Y_0 * 100,
-        "Family": fuel.hc_type,
-    })
+    df = pd.DataFrame(
+        {
+            "Compound": fuel.compounds,
+            "Weight %": fuel.Y_0 * 100,
+            "Family": fuel.hc_type,
+        }
+    )
 
     # Determine carbon number from compound name
     def determine_carbon_number(compound):
@@ -84,7 +94,7 @@ def determine_carbon_number(compound):
             return np.nan
 
     df["nC"] = df["Compound"].apply(determine_carbon_number)
-    
+
     # Remove rows with weight % <= 0.01
     df = df[df["Weight %"] > 0.01]
 
@@ -152,7 +162,9 @@ def determine_carbon_number(compound):
 
     # Plot 2: Pie chart of family composition
     # Only include families that have weight > 0
-    families_present = [f for f in family_names if f in family_weights.index and family_weights[f] > 0]
+    families_present = [
+        f for f in family_names if f in family_weights.index and family_weights[f] > 0
+    ]
     family_weights_sorted = family_weights[families_present]
 
     # Create pie chart without labels/percentages (we'll add them outside)
@@ -161,19 +173,23 @@ def determine_carbon_number(compound):
         labels=None,
         autopct=None,
         startangle=140,
-        colors=[colors.get(family, "#7f7f7f") for family in family_weights_sorted.index],
+        colors=[
+            colors.get(family, "#7f7f7f") for family in family_weights_sorted.index
+        ],
     )
 
     # Add percentages outside the pie with arrows
-    for wedge, value, family in zip(wedges, family_weights_sorted.values, family_weights_sorted.index):
+    for wedge, value, family in zip(
+        wedges, family_weights_sorted.values, family_weights_sorted.index
+    ):
         angle = (wedge.theta2 + wedge.theta1) / 2
         radius = 1.3
         x = radius * np.cos(np.radians(angle))
         y = radius * np.sin(np.radians(angle))
-        
+
         # Determine horizontal alignment based on position
         ha = "left" if x > 0 else "right"
-        
+
         # Add annotation with arrow
         ax2.annotate(
             f"{value:.1f}%",
@@ -221,7 +237,14 @@ def determine_carbon_number(compound):
 
 
 def plot_mixture_properties(
-    fuel_names, property_names=None, fuel_data_dir=None, output_dir=None, title=None, decomp_name=None, save=True, display=False
+    fuel_names,
+    property_names=None,
+    fuel_data_dir=None,
+    output_dir=None,
+    title=None,
+    decomp_name=None,
+    save=True,
+    display=False,
 ):
     """
     Plot mixture properties for fuel(s) over a temperature range.
@@ -325,7 +348,7 @@ def plot_mixture_properties(
 
     def get_line_spec(fuel_name, fuel_index=0):
         """Get line color and marker style for fuel.
-        
+
         :param fuel_name: Name of the fuel
         :param fuel_index: Index of fuel in the plot (for cycling through colors)
         :return: Tuple of (color, marker_style)
@@ -336,7 +359,7 @@ def get_line_spec(fuel_name, fuel_index=0):
             if key in fuel_name.lower():
                 marker_style = spec[0]
                 break
-        
+
         # Get color from palette using fuel index
         color = color_palette[fuel_index % len(color_palette)]
         return (color, marker_style)
@@ -352,7 +375,9 @@ def get_legend_label(fuel_name):
 
     def get_temp_range(prop_name):
         """Get default temperature range for a property."""
-        return default_ranges_by_property.get(prop_name, [0, 100])  # Fallback to [0, 100]
+        return default_ranges_by_property.get(
+            prop_name, [0, 100]
+        )  # Fallback to [0, 100]
 
     def get_predictions_and_data(fuel_name, prop_name):
         """Get predicted and experimental data for a property."""
@@ -391,11 +416,17 @@ def get_predictions_and_data(fuel_name, prop_name):
         for i, T in enumerate(T_pred):
             try:
                 if prop_name == "Density":
-                    pred[i] = fuel.mixture_density(Y_li, T) * 1.0e-03  # Convert to g/cm^3
+                    pred[i] = (
+                        fuel.mixture_density(Y_li, T) * 1.0e-03
+                    )  # Convert to g/cm^3
                 elif prop_name == "VaporPressure":
-                    pred[i] = fuel.mixture_vapor_pressure(Y_li, T) * 1.0e-03  # Convert to kPa
+                    pred[i] = (
+                        fuel.mixture_vapor_pressure(Y_li, T) * 1.0e-03
+                    )  # Convert to kPa
                 elif prop_name == "Viscosity":
-                    pred[i] = fuel.mixture_kinematic_viscosity(Y_li, T) * 1.0e6  # Convert to mm^2/s
+                    pred[i] = (
+                        fuel.mixture_kinematic_viscosity(Y_li, T) * 1.0e6
+                    )  # Convert to mm^2/s
                 elif prop_name == "SurfaceTension":
                     pred[i] = fuel.mixture_surface_tension(Y_li, T)
                 elif prop_name == "ThermalConductivity":
@@ -408,9 +439,7 @@ def get_predictions_and_data(fuel_name, prop_name):
     # Create figure with subplots
     n_props = len(property_names)
     figW = 4.25 * n_props
-    fig, ax = plt.subplots(
-        1, n_props, figsize=(figW, 5.5), constrained_layout=True
-    )
+    fig, ax = plt.subplots(1, n_props, figsize=(figW, 5.5), constrained_layout=True)
 
     # Handle single subplot case
     if n_props == 1:
@@ -647,7 +676,9 @@ def main():
     )
 
     # Subparsers for different plot types
-    subparsers = parser.add_subparsers(dest="plot_type", help="Type of plot to generate")
+    subparsers = parser.add_subparsers(
+        dest="plot_type", help="Type of plot to generate"
+    )
 
     # Composition plotter subcommand
     comp_parser = subparsers.add_parser("comp", help="Plot fuel composition")
diff --git a/tests/test_hc_identification.py b/tests/test_hc_identification.py
index 6a58f88..d4693a9 100644
--- a/tests/test_hc_identification.py
+++ b/tests/test_hc_identification.py
@@ -1,4 +1,5 @@
 """Test hydrocarbon identification: nC, nH, and hc_type determination."""
+
 import re
 from pathlib import Path
 import pytest
@@ -9,10 +10,9 @@
 def get_available_fuels():
     """Discover available fuels from fuelData/gcData directory."""
     gcdata_dir = Path(__file__).parent.parent / "fuelData" / "gcData"
-    fuels = sorted([
-        f.name.replace('_init.csv', '')
-        for f in gcdata_dir.glob('*_init.csv')
-    ])
+    fuels = sorted(
+        [f.name.replace("_init.csv", "") for f in gcdata_dir.glob("*_init.csv")]
+    )
     return fuels
 
 
@@ -20,10 +20,10 @@ def extract_c_h_from_formula(formula):
     """Extract carbon and hydrogen counts from formula string (e.g., C7H8 -> (7, 8))."""
     if not formula or pd.isna(formula):
         return None, None
-    
+
     formula = str(formula).strip()
     # Match CnHm pattern
-    match = re.match(r'C(\d+)H(\d+)', formula)
+    match = re.match(r"C(\d+)H(\d+)", formula)
     if match:
         return int(match.group(1)), int(match.group(2))
     return None, None
@@ -33,28 +33,28 @@ def infer_hc_type_from_formula(formula, compound_name=""):
     """Infer expected hydrocarbon type from formula."""
     if not formula or pd.isna(formula):
         return None
-    
+
     nc, nh = extract_c_h_from_formula(formula)
     if nc is None:
         return None
-    
+
     # Check for aromatic patterns (diaromatics, cycloaromatics, benzenes)
     if "Diaromatic" in compound_name or "aromatic" in compound_name.lower():
         return "aromatic"
     if "Benzene" in compound_name or "Toluene" in compound_name:
         return "aromatic"
-    
+
     # Check for alkene patterns
     if "Alkene" in compound_name:
         return "alkene"
-    
+
     # Check for cycloalkane patterns
     if "Cycloparaffin" in compound_name or "Cycloaromatic" in compound_name:
         # These have aromatic rings attached, classified as aromatic
         if "Cycloaromatic" in compound_name:
             return "aromatic"
         return "cyclo-alkane"
-    
+
     # For alkanes, check saturation
     # Alkanes: CnH(2n+2)
     if nh == 2 * nc + 2:
@@ -66,19 +66,19 @@ def infer_hc_type_from_formula(formula, compound_name=""):
         else:
             # Default branched alkanes to iso-alkane
             return "iso-alkane"
-    
+
     # Monocycloalkanes: CnH(2n)
     if "Monocyclo" in compound_name and nh == 2 * nc:
         return "cyclo-alkane"
-    
+
     # Dicycloalkanes: CnH(2n-2)
     if "Dicyclo" in compound_name and nh == 2 * nc - 2:
         return "cyclo-alkane"
-    
+
     # Tricycloalkanes: CnH(2n-4)
     if "Tricyclo" in compound_name and nh == 2 * nc - 4:
         return "cyclo-alkane"
-    
+
     return None
 
 
@@ -90,57 +90,53 @@ def test_hc_identification(self, fuel_name):
         """Comprehensive test for HC identification: nC, nH, hc_type, and compound classification."""
         # Load fuel
         fuel = fl.fuel(fuel_name)
-        
+
         print(f"\n{'='*60}")
         print(f"Fuel: {fuel_name}")
         print(f"{'='*60}")
         print(f"Compounds: {fuel.num_compounds}")
-        
+
         # === Test 1: nC matches reference formula ===
         mismatches = []
         for compound, formula, nc_calc in zip(fuel.compounds, fuel.formulas, fuel.nC):
             if not formula or pd.isna(formula):
                 continue
-            
+
             nc_ref, _ = extract_c_h_from_formula(formula)
-            
+
             if nc_ref is not None:
                 tolerance = 2.0 if "Cycloaromatic" in compound else 0.1
-                
+
                 if abs(nc_calc - nc_ref) > tolerance:
                     mismatches.append(
                         f"{compound}: calculated nC={nc_calc:.1f}, expected nC={nc_ref}"
                     )
-        
-        assert not mismatches, (
-            f"Carbon count mismatches:\n" + "\n".join(mismatches)
-        )
+
+        assert not mismatches, f"Carbon count mismatches:\n" + "\n".join(mismatches)
         print(f"✓ nC from decomp matches reference formula")
-        
+
         # === Test 2: nH matches reference formula ===
         mismatches = []
         for compound, formula, nh_calc in zip(fuel.compounds, fuel.formulas, fuel.nH):
             if not formula or pd.isna(formula):
                 continue
-            
+
             _, nh_ref = extract_c_h_from_formula(formula)
-            
+
             if nh_ref is not None:
                 tolerance = 2.0 if "Cycloaromatic" in compound else 0.1
-                
+
                 if abs(nh_calc - nh_ref) > tolerance:
                     mismatches.append(
                         f"{compound}: calculated nH={nh_calc:.1f}, expected nH={nh_ref}"
                     )
-        
-        assert not mismatches, (
-            f"Hydrogen count mismatches:\n" + "\n".join(mismatches)
-        )
+
+        assert not mismatches, f"Hydrogen count mismatches:\n" + "\n".join(mismatches)
         print(f"✓ nH from decomp matches reference formula")
-        
+
         # === Test 3: hc_type is consistent ===
         valid_types = {"n-alkane", "iso-alkane", "cyclo-alkane", "alkene", "aromatic"}
-        
+
         mismatches = []
         for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
             if hc_type not in valid_types:
@@ -148,20 +144,20 @@ def test_hc_identification(self, fuel_name):
                     f"{compound}: invalid hc_type='{hc_type}' "
                     f"(must be one of {valid_types})"
                 )
-        
-        assert not mismatches, (
-            f"Invalid hydrocarbon types:\n" + "\n".join(mismatches)
-        )
+
+        assert not mismatches, f"Invalid hydrocarbon types:\n" + "\n".join(mismatches)
         print(f"✓ hc_type from decomp is consistent")
-        
+
         # === Test 4: hc_type matches formula-derived expectations ===
         mismatches = []
-        for compound, formula, hc_type_calc in zip(fuel.compounds, fuel.formulas, fuel.hc_type):
+        for compound, formula, hc_type_calc in zip(
+            fuel.compounds, fuel.formulas, fuel.hc_type
+        ):
             if not formula or pd.isna(formula):
                 continue
-            
+
             hc_type_expected = infer_hc_type_from_formula(formula, compound)
-            
+
             if hc_type_expected is not None:
                 if hc_type_calc != hc_type_expected:
                     mismatches.append(
@@ -169,18 +165,22 @@ def test_hc_identification(self, fuel_name):
                         f"expected hc_type='{hc_type_expected}' "
                         f"(formula: {formula})"
                     )
-        
-        assert not mismatches, (
-            f"Hydrocarbon type mismatches:\n" + "\n".join(mismatches)
-        )
+
+        assert not mismatches, f"Hydrocarbon type mismatches:\n" + "\n".join(mismatches)
         print(f"✓ hc_type from decomp matches formula-derived expectations")
-        
+
         # === Test 5: Aromatic compounds identified ===
         aromatic_names = {
-            compound for compound, formula in zip(fuel.compounds, fuel.formulas)
-            if formula and ("Benzene" in compound or "aromatic" in compound.lower() or "naphthalene" in formula.lower())
+            compound
+            for compound, formula in zip(fuel.compounds, fuel.formulas)
+            if formula
+            and (
+                "Benzene" in compound
+                or "aromatic" in compound.lower()
+                or "naphthalene" in formula.lower()
+            )
         }
-        
+
         mismatches = []
         for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
             if compound in aromatic_names:
@@ -188,19 +188,18 @@ def test_hc_identification(self, fuel_name):
                     mismatches.append(
                         f"{compound}: should be aromatic but got '{hc_type}'"
                     )
-        
-        assert not mismatches, (
-            f"Aromatic compounds not correctly identified:\n" + "\n".join(mismatches)
-        )
+
+        assert (
+            not mismatches
+        ), f"Aromatic compounds not correctly identified:\n" + "\n".join(mismatches)
         aromatic_count = len(aromatic_names) if aromatic_names else 0
         print(f"✓ aromatic compounds identified correctly ({aromatic_count} found)")
-        
+
         # === Test 6: n-alkane compounds identified ===
         nalkane_names = {
-            compound for compound in fuel.compounds
-            if compound.startswith("n-C")
+            compound for compound in fuel.compounds if compound.startswith("n-C")
         }
-        
+
         mismatches = []
         for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
             if compound in nalkane_names:
@@ -208,19 +207,21 @@ def test_hc_identification(self, fuel_name):
                     mismatches.append(
                         f"{compound}: should be n-alkane but got '{hc_type}'"
                     )
-        
-        assert not mismatches, (
-            f"n-alkane compounds not correctly identified:\n" + "\n".join(mismatches)
-        )
+
+        assert (
+            not mismatches
+        ), f"n-alkane compounds not correctly identified:\n" + "\n".join(mismatches)
         nalkane_count = len(nalkane_names) if nalkane_names else 0
         print(f"✓ n-alkane compounds identified correctly ({nalkane_count} found)")
-        
+
         # === Test 7: Cycloalkane compounds identified ===
         cyclo_names = {
-            compound for compound in fuel.compounds
-            if "cycloparaffin" in compound.lower() and "aromatic" not in compound.lower()
+            compound
+            for compound in fuel.compounds
+            if "cycloparaffin" in compound.lower()
+            and "aromatic" not in compound.lower()
         }
-        
+
         mismatches = []
         for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
             if compound in cyclo_names:
@@ -228,19 +229,18 @@ def test_hc_identification(self, fuel_name):
                     mismatches.append(
                         f"{compound}: should be cyclo-alkane but got '{hc_type}'"
                     )
-        
-        assert not mismatches, (
-            f"Cycloalkane compounds not correctly identified:\n" + "\n".join(mismatches)
-        )
+
+        assert (
+            not mismatches
+        ), f"Cycloalkane compounds not correctly identified:\n" + "\n".join(mismatches)
         cyclo_count = len(cyclo_names) if cyclo_names else 0
         print(f"✓ cyclo-alkane compounds identified correctly ({cyclo_count} found)")
-        
+
         # === Test 7b: iso-alkane compounds identified ===
         isoalkane_names = {
-            compound for compound in fuel.compounds
-            if "Isoparaffin" in compound
+            compound for compound in fuel.compounds if "Isoparaffin" in compound
         }
-        
+
         mismatches = []
         for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
             if compound in isoalkane_names:
@@ -248,19 +248,16 @@ def test_hc_identification(self, fuel_name):
                     mismatches.append(
                         f"{compound}: should be iso-alkane but got '{hc_type}'"
                     )
-        
-        assert not mismatches, (
-            f"iso-alkane compounds not correctly identified:\n" + "\n".join(mismatches)
-        )
+
+        assert (
+            not mismatches
+        ), f"iso-alkane compounds not correctly identified:\n" + "\n".join(mismatches)
         isoalkane_count = len(isoalkane_names) if isoalkane_names else 0
         print(f"✓ iso-alkane compounds identified correctly ({isoalkane_count} found)")
-        
+
         # === Test 8: Alkene compounds identified ===
-        alkene_names = {
-            compound for compound in fuel.compounds
-            if "Alkene" in compound
-        }
-        
+        alkene_names = {compound for compound in fuel.compounds if "Alkene" in compound}
+
         mismatches = []
         for compound, hc_type in zip(fuel.compounds, fuel.hc_type):
             if compound in alkene_names:
@@ -268,9 +265,9 @@ def test_hc_identification(self, fuel_name):
                     mismatches.append(
                         f"{compound}: should be alkene but got '{hc_type}'"
                     )
-        
-        assert not mismatches, (
-            f"Alkene compounds not correctly identified:\n" + "\n".join(mismatches)
-        )
+
+        assert (
+            not mismatches
+        ), f"Alkene compounds not correctly identified:\n" + "\n".join(mismatches)
         alkene_count = len(alkene_names) if alkene_names else 0
         print(f"✓ alkene compounds identified correctly ({alkene_count} found)")
diff --git a/tutorials/compositionPlots.py b/tutorials/compositionPlots.py
index ac41ecd..7ffdf70 100644
--- a/tutorials/compositionPlots.py
+++ b/tutorials/compositionPlots.py
@@ -12,11 +12,14 @@
 # Create a DataFrame with the compounds and their families
 # Use the hydrocarbon type classification from group decompositions
 family_names = ["n-alkane", "iso-alkane", "cyclo-alkane", "aromatic"]
-df = pd.DataFrame({
-    "Compound": fuel.compounds,
-    "Weight %": fuel.Y_0 * 100,
-    "Family": fuel.hc_type,
-})
+df = pd.DataFrame(
+    {
+        "Compound": fuel.compounds,
+        "Weight %": fuel.Y_0 * 100,
+        "Family": fuel.hc_type,
+    }
+)
+
 
 # Determine carbon number from compound name
 def determine_carbon_number(compound):
@@ -40,6 +43,7 @@ def determine_carbon_number(compound):
                 return np.nan
         return np.nan
 
+
 df["nC"] = df["Compound"].apply(determine_carbon_number)
 
 # Remove rows with weight % <= 0.01
@@ -108,7 +112,9 @@ def determine_carbon_number(compound):
 
 # Plot 2: Pie chart of family composition
 # Only include families that have weight > 0
-families_present = [f for f in family_names if f in family_weights.index and family_weights[f] > 0]
+families_present = [
+    f for f in family_names if f in family_weights.index and family_weights[f] > 0
+]
 family_weights_sorted = family_weights[families_present]
 
 # Create pie chart without labels/percentages (we'll add them outside)
@@ -121,15 +127,17 @@ def determine_carbon_number(compound):
 )
 
 # Add percentages outside the pie with arrows
-for wedge, value, family in zip(wedges, family_weights_sorted.values, family_weights_sorted.index):
+for wedge, value, family in zip(
+    wedges, family_weights_sorted.values, family_weights_sorted.index
+):
     angle = (wedge.theta2 + wedge.theta1) / 2
     radius = 1.3
     x = radius * np.cos(np.radians(angle))
     y = radius * np.sin(np.radians(angle))
-    
+
     # Determine horizontal alignment based on position
     ha = "left" if x > 0 else "right"
-    
+
     # Add annotation with arrow
     ax2.annotate(
         f"{value:.1f}%",
@@ -162,4 +170,3 @@ def determine_carbon_number(compound):
 fig.suptitle("Fuel Composition", fontsize=16, fontweight="bold")
 
 plt.show()
-

From 17e73b51b3b959c8d0748abd75cea60648995ac7 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 13:21:06 -0600
Subject: [PATCH 25/48] Update docs, fix error in decomp for Cycloaromatic-C09

---
 docs/development.rst                          |  9 +---
 docs/tutorials-basic.rst                      | 10 +++-
 docs/tutorials-custom-fuels.rst               | 21 ++------
 fuellib/data/fuelData/dataReferences.md       | 52 -------------------
 fuellib/data/fuelData/gcData/decane_init.csv  |  2 +-
 .../data/fuelData/gcData/dodecane_init.csv    |  2 +-
 .../fuelData/gcData/heptane-decane_init.csv   |  4 +-
 fuellib/data/fuelData/gcData/heptane_init.csv |  2 +-
 .../fuelData/groupDecompositionData/hefa.csv  |  2 +-
 .../fuelData/groupDecompositionData/jet-a.csv |  2 +-
 .../groupDecompositionData/posf10264.csv      |  2 +-
 .../groupDecompositionData/posf10289.csv      |  2 +-
 .../groupDecompositionData/posf10325.csv      |  2 +-
 .../groupDecompositionData/posf4658.csv       |  2 +-
 .../groupDecompositionData/refCompounds.csv   |  4 +-
 tests/test_hc_identification.py               |  4 +-
 16 files changed, 29 insertions(+), 93 deletions(-)
 delete mode 100644 fuellib/data/fuelData/dataReferences.md

diff --git a/docs/development.rst b/docs/development.rst
index 4cf4fbf..a20bd9d 100644
--- a/docs/development.rst
+++ b/docs/development.rst
@@ -43,14 +43,7 @@ New contributions are always welcome! To contribute:
 4. Ensure development dependencies are installed (see Development Setup above)
 5. Format your code using Black ``fl-format``
 
-6. Run tests to verify your changes:
-
-   .. code-block:: bash
-
-      python tests/test_api.py
-      python tests/test_accuracy.py
-      python tests/test_source_docstrings.py
-
+6. Run tests to verify your changes. See `.github/workflows/ci.yml` for the most up-to-date list of tests run in CI
 7. Open a Pull Request (PR) from your fork to the main FuelLib repository
 
 Building and Viewing Documentation Locally
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index e5aefb7..12a1c15 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -23,7 +23,7 @@ If you want to run the example scripts, you can either clone the repository or d
 Required Input Files
 ^^^^^^^^^^^^^^^^^^^^^
 
-FuelLib requires two input files for any given fuel, ``<fuel_name>``:
+FuelLib comes with a variety of built-in fuels with pre-populated input files, but you can also add your own custom fuels by providing the required input files. Each fuel requires two input files:
 
 - ``FuelLib/fuelData/gcData/<fuel_name>_init.csv``: the initial weight percentage composition of the fuel components (must include columns "Compound" and "Weight %")
 - ``FuelLib/fuelData/groupDecompositionData/<fuel_name>.csv``: the fundamental group decomposition for each component of the fuel (must have columns for groups in the same order as `gcmTable <https://github.com/NatLabRockies/FuelLib/blob/main/gcmTableData/gcmTable.csv>`_)
@@ -32,7 +32,7 @@ These two required files must have the same number of rows and the same order of
 
 **Fuel Metadata**
 
-For custom fuels, a ``fuel_metadata.yaml`` file is required to define decomposition name mappings. This allows you to map fuel variants to the correct group decomposition file. See the `Adding Custom Fuels <tutorials-custom-fuels.html>`_ tutorial for details on the metadata file format and structure.
+A ``fuel_metadata.yaml`` file is required to define decomposition name mappings. This allows you to map multiple fuel variants to a shared group decomposition file. See the `Adding Custom Fuels <tutorials-custom-fuels.html>`_ tutorial for details on the metadata file format and structure.
 
 Decomposing Fuel Components into Fundamental Groups
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -66,6 +66,12 @@ the remaining branch with a single CH3 group bonded to a CH2 group is not define
     | (1,5-dimethylhexyl)cyclohexane | 3     | 8     | 3     | ... | 1        | 1               |
     +--------------------------------+-------+-------+-------+-----+----------+-----------------+
 
+.. note::
+    All group decomposition files must follow the groups defined in `gcmTable`_, there are :math:`N_{g1} = 78` 
+    first-order groups and :math:`N_{g2} = 43` second order groups. The second-order groups start with the 
+    branching structure `(CH3)2CH`. Not all branching structures are defined in the `gcmTable`_. We recommend
+    starting with `groupDecompositionData/refCompounds.csv` and adapting the decompositions and compounds for your fuel. 
+
 Basic Usage
 ^^^^^^^^^^^
 
diff --git a/docs/tutorials-custom-fuels.rst b/docs/tutorials-custom-fuels.rst
index dbe2243..6ef6c5f 100644
--- a/docs/tutorials-custom-fuels.rst
+++ b/docs/tutorials-custom-fuels.rst
@@ -10,7 +10,7 @@ Create a fuel data directory with this structure:
 
 .. code-block:: text
 
-    your_fueldata_dir/
+    customFuels/
     ├── gcData/
     │   └── your_fuel_name_init.csv
     ├── groupDecompositionData/
@@ -89,39 +89,28 @@ See the `Basic Usage tutorial <tutorials-basic.html#decomposing-fuel-components-
 Using Custom Fuels
 ------------------
 
-Once your fuel data directory is set up, you can use it like any built-in fuel:
+Once your custom fuel directory is set up, you can use it like any built-in fuel by specifying the ``fuelDataDir`` when creating a fuel object:
 
 .. code-block:: python
 
     import fuellib as fl
 
     # Load a custom fuel
-    fuel = fl.fuel("new-satf", fuelDataDir="/path/to/custom_fuels")
-
-    # Display fuel name, components, initial composition, and critical temperature
-    print(f"Fuel name: {fuel.name}")
-    print(f"Fuel components: {fuel.compounds}")
-    print(f"Initial composition: {fuel.Y_0}")
-    print(f"Critical temperature: {fuel.Tc} K")
+    fuel = fl.fuel("new-satf", fuelDataDir="/path/to/customFuels")
 
     # Calculate the saturated vapor pressure at 320 K
     T = 320  # K
     p_sat_i = fuel.psat(T)
     p_sat_mix = fuel.mixture_vapor_pressure(fuel.Y_0, T)
-    print(f"Saturated vapor pressure at {T} K: {p_sat_i} Pa")
-    print(f"Mixture saturated vapor pressure at {T} K: {p_sat_mix:.2f} Pa")
 
 Tips and Best Practices
 -----------------------
 
 1. **Composition Normalization**: Weight percentages don't need to sum to exactly 100% - FuelLib normalizes them automatically.
 
-2. **Group Decomposition Accuracy**: Predictions depend heavily on decomposition quality. When possible:
-   - Use literature values or validated decompositions
-   - Validate against measured properties
-   - Document your decomposition sources
+2. **Group Decomposition Accuracy**: Predictions depend heavily on decomposition quality. When possible you should validate individual compound properties against measured properties or NIST WebBook.
 
-3. **Fuel Variants**: Use ``decomp_name`` to map multiple fuel variants to the same decomposition file when they have identical bulk composition:
+3. **Fuel Variants**: Use ``decomp_name`` to map multiple fuel variants to the same decomposition file when they have identical compounds but different weight percentages.
 
    .. code-block:: yaml
 
diff --git a/fuellib/data/fuelData/dataReferences.md b/fuellib/data/fuelData/dataReferences.md
deleted file mode 100644
index 6330140..0000000
--- a/fuellib/data/fuelData/dataReferences.md
+++ /dev/null
@@ -1,52 +0,0 @@
-## References for fuel data
-
-# GCxGC Data
-The provided GC x GC data is for the weight % of the fuel.  
-
-## POSF Fuels
-The GCxGC data for the POSF fuels comes from the [National Jet Fuels Combustion Program](https://doi.org/10.2514/1.J055361) (NJFCP) as provided by the Air Force Research Laboratory in [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf) and [Edwards (2017)](https://doi.org/10.2514/6.2017-0146):
-* gcData/posf4658_init.csv (from Appendix D [Edwards (2017)](https://doi.org/10.2514/6.2017-0146))
-* gcData/posf10264_init.csv
-* gcData/posf10289_init.csv
-* gcData/posf10325_init.csv
-* gcData/posf11498_init.csv
-
-## HEFA:Jet-A Blends
-GCxGC data for HEFA fuels produced from different feedstocks (camelina, tallow, and mixed fat) courtesy of [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787). Note that these can be blended with Jet-A to reproduce the density and viscosity measurement data from that paper:
-* gcData/hefa-came.csv
-* gcData/hefa-tall.csv
-* gcData/hefa-mfat.csv
-* gcData/jet-a.csv
-
-# Group Decomposition Data
-
-## POSF Fuels
-The decompositions of each compound into its functional groups for the POSF fuels originated from [Govindaraju & Ihme (2016)](https://doi.org/10.1016/j.ijheatmasstransfer.2016.06.079), but have been updated for additional accuracy and to include the specific reference compounds used:
-* groupDecompositionData/posf4658.csv
-* groupDecompositionData/posf10264.csv
-* groupDecompositionData/posf10289.csv
-* groupDecompositionData/posf10325.csv
-* groupDecompositionData/posf11498.csv
-
-## HEFA:Jet-A Blends
-The group decompositions of the HEFA and Jet-A from [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787) have been derived from the `posf10325` decomposition:
-* groupDecompositionData/hefa.csv
-* groupDecompositionData/jet-a.csv
-
-# Fuel Properties Data
-## Single Component Fuels
-The properties data for the single component fuels is from [NIST WebBook](https://webbook.nist.gov/chemistry/):
-* propertiesData/decane-NIST.csv
-* propertiesData/dodecane-NIST.csv
-* propertiesData/heptane-NIST.csv
-
-## POSF Fuels
-The properties data for POSF fuels is from the AFRL [Edwards (2017)](https://doi.org/10.2514/6.2017-0146) and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf):
-* propertiesData/posf10264.csv
-* propertiesData/posf10289.csv
-* propertiesData/posf10325.csv
-* propertiesData/posf11498.csv
-
-## HEFA:Jet-A Blends
-The properties data for the HEFA:Jet-A blends are from [Vozka et al. (2018)](https://doi.org/10.1021/acs.energyfuels.8b02787) 
-* propertiesData/hefa-jet-a-blends.csv
\ No newline at end of file
diff --git a/fuellib/data/fuelData/gcData/decane_init.csv b/fuellib/data/fuelData/gcData/decane_init.csv
index ce09864..def497b 100644
--- a/fuellib/data/fuelData/gcData/decane_init.csv
+++ b/fuellib/data/fuelData/gcData/decane_init.csv
@@ -1,2 +1,2 @@
 Compound,Formula,Weight %
-NC10H22,,100
+n-C10,C10H22,100
diff --git a/fuellib/data/fuelData/gcData/dodecane_init.csv b/fuellib/data/fuelData/gcData/dodecane_init.csv
index 9b7d3fc..32644f4 100644
--- a/fuellib/data/fuelData/gcData/dodecane_init.csv
+++ b/fuellib/data/fuelData/gcData/dodecane_init.csv
@@ -1,2 +1,2 @@
 Compound,Formula,Weight %
-NC12H26,,100
+n-C12,C12H26,100
diff --git a/fuellib/data/fuelData/gcData/heptane-decane_init.csv b/fuellib/data/fuelData/gcData/heptane-decane_init.csv
index 7c50f91..fcd2deb 100644
--- a/fuellib/data/fuelData/gcData/heptane-decane_init.csv
+++ b/fuellib/data/fuelData/gcData/heptane-decane_init.csv
@@ -1,3 +1,3 @@
 Compound,Formula,Weight %
-NC7H16,,73.75
-NC10H22,,26.25
+n-C07,C7H16,73.75
+n-C10,C10H22,26.25
diff --git a/fuellib/data/fuelData/gcData/heptane_init.csv b/fuellib/data/fuelData/gcData/heptane_init.csv
index c4ed359..7263299 100644
--- a/fuellib/data/fuelData/gcData/heptane_init.csv
+++ b/fuellib/data/fuelData/gcData/heptane_init.csv
@@ -1,2 +1,2 @@
 Compound,Formula,Weight %
-NC7H16,,100
+n-C07,C7H16,100
diff --git a/fuellib/data/fuelData/groupDecompositionData/hefa.csv b/fuellib/data/fuelData/groupDecompositionData/hefa.csv
index 53b4bfd..e4cf12e 100644
--- a/fuellib/data/fuelData/groupDecompositionData/hefa.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/hefa.csv
@@ -12,7 +12,7 @@ Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/fuellib/data/fuelData/groupDecompositionData/jet-a.csv b/fuellib/data/fuelData/groupDecompositionData/jet-a.csv
index b0216f6..e513610 100644
--- a/fuellib/data/fuelData/groupDecompositionData/jet-a.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/jet-a.csv
@@ -12,7 +12,7 @@ Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10264.csv b/fuellib/data/fuelData/groupDecompositionData/posf10264.csv
index b0216f6..e513610 100644
--- a/fuellib/data/fuelData/groupDecompositionData/posf10264.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/posf10264.csv
@@ -12,7 +12,7 @@ Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10289.csv b/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
index b0216f6..e513610 100644
--- a/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
@@ -12,7 +12,7 @@ Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10325.csv b/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
index b0216f6..e513610 100644
--- a/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
@@ -12,7 +12,7 @@ Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf4658.csv b/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
index b0216f6..e513610 100644
--- a/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
@@ -12,7 +12,7 @@ Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv b/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv
index acbb91d..1090d9b 100755
--- a/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv
+++ b/fuellib/data/fuelData/groupDecompositionData/refCompounds.csv
@@ -1,4 +1,4 @@
-Compound,CH3 (1),CH2 (2),CH (3),C (4),CH2=CH (1),CH=CH (2),CH2=C (2),CH=C (3),C=C (4),CH2=C=CH(1),ACH (2),AC (3),ACCH3 (2),ACCH2 (3),ACCH (4),OH (1),ACOH (2),CH3CO (1),CH2CO (2),CHO (1)*,CH3COO (1),CH2COO (2),HCOO (1),CH30 (1),CH20 (2),CH-O (3),FCH20 (1)*,CH2NH2 (1),CHNH2 (2),CH3NH (2),CH2NH (3),CHNH (4)*,CH3N (2),CH2N (3),ACNH2 (2),C5H4N (1),C5H3N (2),CH2CN (1)*,COOH (1),CH2C1 (1),CHC1 (2),CC1 (3),CHC12 (1)*,CC13 (1),CC12 (2),ACC1 (2),CH2N02 (1)*,CHN02 (2)*,ACN02 (2)*,CH2SH (1),C1(1)*,Br (1),CH≡C (1),C≡C (2)*,Cl—(C=C) (3)*,ACF (2),HCON(CH2)2 (2)*,CF3 (1),CF2 (2),CF (3),COO (2),CC12F (1),HCC1F (1),CC1F2 (1),FSpecial (1),CONH2 (1)*,CONHCH3 (1)*,CONHCH2 (1)*,CON(CH3)2 (1)*,CONCH2CH2 (3)*,CON(CH2)2 (3)*,C2H502 (1)*,C2H402 (2),CH3S (1),CH2S (2),CHS (3)*,C4H3S (1),C4H2S (2)*,Group j  (CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CR=CRm—CRp=CRk m, p G (0,1), K n G (0,2)","CH3-CHm=CH, m G (0,1), n G (0,2)","CH2-CHm=CH, m G (0,1), n G (0,2)","CH—CUm=CUn or C—CHm=CH/ m G (0,1), n G (0,2)",Alicyclic side-chain CcyclicCm m > 1,ch3ch3,CHCHO or CCHO*,CH3COCH2,CH3COCH or CH3COC,Ccyclic^=0,ACCHO*,CHCOOH or CCOOH*,ACCOOH*,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO*, CO—O—CO,ACCOO*,CHOH,COH,CHm(OH)CHn(OH),CHm cyclic-OH,CHn(OH)CHm(NHp),CHm(NH2)CHn(NH2)*,CHm cyclic—NHp—CHn cyclic*,CHnOCHm
CHp*,AC—O—CHm*,CHm cyclic—S—CHn cyclic,CHn
CHm—F,CHn
CHm—Br*,CHn
CHm—I*,ACBr*,ACI*,CHm(NH2)—COOH*
+Compound,CH3 (1),CH2 (2),CH (3),C (4),CH2=CH (1),CH=CH (2),CH2=C (2),CH=C (3),C=C (4),CH2=C=CH(1),ACH (2),AC (3),ACCH3 (2),ACCH2 (3),ACCH (4),OH (1),ACOH (2),CH3CO (1),CH2CO (2),CHO (1)*,CH3COO (1),CH2COO (2),HCOO (1),CH30 (1),CH20 (2),CH-O (3),FCH20 (1)*,CH2NH2 (1),CHNH2 (2),CH3NH (2),CH2NH (3),CHNH (4)*,CH3N (2),CH2N (3),ACNH2 (2),C5H4N (1),C5H3N (2),CH2CN (1)*,COOH (1),CH2C1 (1),CHC1 (2),CC1 (3),CHC12 (1)*,CC13 (1),CC12 (2),ACC1 (2),CH2N02 (1)*,CHN02 (2)*,ACN02 (2)*,CH2SH (1),C1(1)*,Br (1),CH≡C (1),C≡C (2)*,Cl—(C=C) (3)*,ACF (2),HCON(CH2)2 (2)*,CF3 (1),CF2 (2),CF (3),COO (2),CC12F (1),HCC1F (1),CC1F2 (1),FSpecial (1),CONH2 (1)*,CONHCH3 (1)*,CONHCH2 (1)*,CON(CH3)2 (1)*,CONCH2CH2 (3)*,CON(CH2)2 (3)*,C2H502 (1)*,C2H402 (2),CH3S (1),CH2S (2),CHS (3)*,C4H3S (1),C4H2S (2)*,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CR=CRm—CRp=CRk m, p G (0,1), K n G (0,2)","CH3-CHm=CH, m G (0,1), n G (0,2)","CH2-CHm=CH, m G (0,1), n G (0,2)","CH—CUm=CUn or C—CHm=CH/ m G (0,1), n G (0,2)",Alicyclic side-chain CcyclicCm m > 1,ch3ch3,CHCHO or CCHO*,CH3COCH2,CH3COCH or CH3COC,Ccyclic^=0,ACCHO*,CHCOOH or CCOOH*,ACCOOH*,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO*, CO—O—CO,ACCOO*,CHOH,COH,CHm(OH)CHn(OH),CHm cyclic-OH,CHn(OH)CHm(NHp),CHm(NH2)CHn(NH2)*,CHm cyclic—NHp—CHn cyclic*,CHnOCHm
CHp*,AC—O—CHm*,CHm cyclic—S—CHn cyclic,CHn
CHm—F,CHn
CHm—Br*,CHn
CHm—I*,ACBr*,ACI*,CHm(NH2)—COOH*
 Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
@@ -14,7 +14,7 @@ Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Diaromatic-C14,1,2,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
 Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/tests/test_hc_identification.py b/tests/test_hc_identification.py
index d4693a9..d34d214 100644
--- a/tests/test_hc_identification.py
+++ b/tests/test_hc_identification.py
@@ -9,9 +9,9 @@
 
 def get_available_fuels():
     """Discover available fuels from fuelData/gcData directory."""
-    gcdata_dir = Path(__file__).parent.parent / "fuelData" / "gcData"
+    gcdata_dir = fl.get_fueldata_gc_dir()
     fuels = sorted(
-        [f.name.replace("_init.csv", "") for f in gcdata_dir.glob("*_init.csv")]
+        [f.name.replace("_init.csv", "") for f in Path(gcdata_dir).glob("*_init.csv")]
     )
     return fuels
 

From 83cc6189407287c47c855cecd02aad21ecba4a53 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 15:22:00 -0600
Subject: [PATCH 26/48] Update baselines after bug in decomp. Update plotting
 and custom fuel handling

---
 docs/tutorials-custom-fuels.rst               |   4 +-
 fuellib/__init__.py                           |  72 +++++++++++-
 fuellib/_data_locator.py                      | 108 ++++++++++++++++--
 fuellib/utilities/plotting.py                 |  85 ++++++++------
 .../baselinePredictions/generate_baseline.py  |  13 ++-
 tests/baselinePredictions/posf10264.csv       |  22 ++--
 tests/baselinePredictions/posf10289.csv       |  26 ++---
 tests/baselinePredictions/posf10325.csv       |  20 ++--
 8 files changed, 261 insertions(+), 89 deletions(-)

diff --git a/docs/tutorials-custom-fuels.rst b/docs/tutorials-custom-fuels.rst
index 6ef6c5f..19f218b 100644
--- a/docs/tutorials-custom-fuels.rst
+++ b/docs/tutorials-custom-fuels.rst
@@ -56,7 +56,9 @@ You can add additional metadata for documentation:
         source: Citation or origin of fuel data
         reference: URL to source paper
         description: Brief description of the fuel
-        decomp_name: your_fuel
+        decomp_name: name_of_decomposition_file in ``groupDecompositionData/`` (without ``.csv`` extension)
+        props_data: Name of any related properties data file in ``propertiesData/`` (without ``.csv`` extension)
+
 
 Note that you can assign the same decomposition to multiple fuel variants if they have identical bulk composition.
 
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 74fd596..e155525 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -24,6 +24,7 @@
     get_fueldata_decomp_dir,
     get_fueldata_props_dir,
     get_decomp_name_from_metadata,
+    get_props_data_from_metadata,
 )
 
 # Physical constants
@@ -40,7 +41,12 @@
     "droplet_volume",
     "droplet_mass",
     "epsilon_to_characteristic_temperature",
+    "get_fueldata_dir",
+    "get_fueldata_gc_dir",
+    "get_fueldata_decomp_dir",
     "get_fueldata_props_dir",
+    "get_decomp_name_from_metadata",
+    "get_props_data_from_metadata",
 ]
 
 
@@ -54,6 +60,58 @@ class fuel:
     :type decompName: str, optional
     :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
     :type fuelDataDir: str, optional
+
+    **Data Directory Attributes:**
+
+    :ivar fuelDataDir: Root directory for fuel data (custom or embedded).
+    :ivar fuelDataGcDir: Directory containing GCxGC compositional data files.
+    :ivar fuelDataDecompDir: Directory containing functional group decomposition files.
+    :ivar fuelDataPropsDir: Directory containing experimental property data (may be None).
+
+    **Composition Attributes:**
+
+    :ivar name: Name of the fuel/mixture.
+    :ivar compounds: List of compound names in the mixture.
+    :ivar formulas: Molecular formulas for each compound (if available).
+    :ivar Y_0: Mass fractions of each compound (array, shape: num_compounds).
+    :ivar Nij: Functional group decomposition matrix (array, shape: num_compounds × num_groups).
+    :ivar num_compounds: Number of compounds in the mixture.
+    :ivar num_groups: Number of functional groups in the decomposition.
+
+    **Pure Component Properties (Critical, Molecular):**
+
+    :ivar MW: Molecular weights in kg/mol (array, shape: num_compounds).
+    :ivar Tc: Critical temperatures in K (array, shape: num_compounds).
+    :ivar Pc: Critical pressures in Pa (array, shape: num_compounds).
+    :ivar Vc: Critical volumes in m³/mol (array, shape: num_compounds).
+    :ivar Tb: Boiling temperatures in K (array, shape: num_compounds).
+    :ivar Tm: Melting temperatures in K (array, shape: num_compounds).
+
+    **Thermodynamic Properties (at 298.15 K):**
+
+    :ivar Hf: Enthalpy of formation in J/mol (array, shape: num_compounds).
+    :ivar Gf: Gibbs free energy in J/mol (array, shape: num_compounds).
+    :ivar Hv_stp: Enthalpy of vaporization at 298 K in J/mol (array, shape: num_compounds).
+    :ivar Lv_stp: Latent heat of vaporization at 298 K in J/kg (array, shape: num_compounds).
+    :ivar Cp_stp: Molar specific heat at 298 K in J/mol/K (array, shape: num_compounds).
+    :ivar Vm_stp: Molar liquid volume at 298 K in m³/mol (array, shape: num_compounds).
+    :ivar omega: Acentric factors (array, shape: num_compounds).
+
+    **Lennard-Jones Transport Parameters:**
+
+    :ivar sigma: Lennard-Jones collision diameters in m (array, shape: num_compounds).
+    :ivar epsilonByKB: Lennard-Jones well depths in K (array, shape: num_compounds).
+
+    **Classification Attributes:**
+
+    :ivar hc_type: Hydrocarbon types ("n-alkane", "iso-alkane", "cyclo-alkane", "aromatic", "alkene").
+    :ivar fam: Family codes for thermal conductivity (0: saturated, 1: aromatic, 2: cycloparaffin, 3: olefin).
+    :ivar nC: Carbon numbers (array, shape: num_compounds).
+    :ivar nH: Hydrogen numbers (array, shape: num_compounds).
+
+    **Optional Attributes:**
+
+    :ivar pelephysics_keys: PelePhysics keys for each compound (if available).
     """
 
     # Number of first and second order groups from Constantinou and Gani
@@ -77,19 +135,21 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
             # Try to get decomposition name from metadata
             decompName = get_decomp_name_from_metadata(name, fuelDataDir)
 
-        # Determine which data directories to use
+        # Determine and set data directories for this fuel instance
         if fuelDataDir is None:
             # Use built-in embedded data
             self.fuelDataDir = get_fueldata_dir()
             self.fuelDataGcDir = get_fueldata_gc_dir()
             self.fuelDataDecompDir = get_fueldata_decomp_dir()
+            self.fuelDataPropsDir = get_fueldata_props_dir()
         else:
-            # Use user-provided custom data directory
+            # Validate and use custom fuel directory
+            from ._data_locator import _validate_fuel_data_dir, _get_props_dir_for_fueldata
+            _validate_fuel_data_dir(fuelDataDir)
             self.fuelDataDir = fuelDataDir
-            self.fuelDataGcDir = os.path.join(self.fuelDataDir, "gcData")
-            self.fuelDataDecompDir = os.path.join(
-                self.fuelDataDir, "groupDecompositionData"
-            )
+            self.fuelDataGcDir = os.path.join(fuelDataDir, "gcData")
+            self.fuelDataDecompDir = os.path.join(fuelDataDir, "groupDecompositionData")
+            self.fuelDataPropsDir = _get_props_dir_for_fueldata(fuelDataDir)
 
         # Get GCM table directory (always from built-in data)
         gcmtable_dir = get_gcmtable_dir()
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index c532f0e..e66f44a 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -21,9 +21,49 @@
     HAS_YAML = False
 
 
+def _validate_fuel_data_dir(fuel_data_dir):
+    """
+    Validate that a custom fuel data directory has required subdirectories.
+    
+    :param fuel_data_dir: Path to fuel data directory.
+    :type fuel_data_dir: str
+    :raises ValueError: If required subdirectories are missing.
+    """
+    if fuel_data_dir is None:
+        return
+    
+    gc_dir = os.path.join(fuel_data_dir, "gcData")
+    decomp_dir = os.path.join(fuel_data_dir, "groupDecompositionData")
+    
+    if not os.path.isdir(gc_dir):
+        raise ValueError(
+            f"Custom fuel data directory is missing 'gcData' subdirectory:\n"
+            f"  Expected: {gc_dir}"
+        )
+    
+    if not os.path.isdir(decomp_dir):
+        raise ValueError(
+            f"Custom fuel data directory is missing 'groupDecompositionData' subdirectory:\n"
+            f"  Expected: {decomp_dir}"
+        )
+
+
+def _get_props_dir_for_fueldata(fuel_data_dir):
+    """
+    Get the properties directory for a fuel data directory, or None if it doesn't exist.
+    
+    :param fuel_data_dir: Path to fuel data directory.
+    :type fuel_data_dir: str
+    :return: Path to properties directory, or None if not found.
+    :rtype: str or None
+    """
+    props_dir = os.path.join(fuel_data_dir, "propertiesData")
+    return props_dir if os.path.isdir(props_dir) else None
+
+
 def get_data_dir():
     """
-    Get the path to the embedded data directory.
+    Get the path to FuelLib's data directory.
 
     :return: Absolute path to the data directory.
     :rtype: str
@@ -45,9 +85,9 @@ def get_gcmtable_dir():
 
 def get_fueldata_dir():
     """
-    Get the path to the fuel data directory.
+    Get the path to FuelLib's fuel data directory.
 
-    :return: Absolute path to fuelData directory.
+    :return: Absolute path to embedded fuelData directory.
     :rtype: str
     """
     return os.path.join(get_data_dir(), "fuelData")
@@ -55,9 +95,9 @@ def get_fueldata_dir():
 
 def get_fueldata_gc_dir():
     """
-    Get the path to the GC data subdirectory.
+    Get the path to FuelLib's GC data subdirectory.
 
-    :return: Absolute path to fuelData/gcData directory.
+    :return: Absolute path to embedded fuelData/gcData directory.
     :rtype: str
     """
     return os.path.join(get_fueldata_dir(), "gcData")
@@ -65,9 +105,9 @@ def get_fueldata_gc_dir():
 
 def get_fueldata_decomp_dir():
     """
-    Get the path to the group decomposition data subdirectory.
+    Get the path to FuelLib's group decomposition data subdirectory.
 
-    :return: Absolute path to fuelData/groupDecompositionData directory.
+    :return: Absolute path to embedded fuelData/groupDecompositionData directory.
     :rtype: str
     """
     return os.path.join(get_fueldata_dir(), "groupDecompositionData")
@@ -75,12 +115,14 @@ def get_fueldata_decomp_dir():
 
 def get_fueldata_props_dir():
     """
-    Get the path to the properties data subdirectory.
+    Get the path to FuelLib's properties data subdirectory, or None if not found.
+    
+    This directory is optional.
 
-    :return: Absolute path to fuelData/propertiesData directory.
-    :rtype: str
+    :return: Absolute path to embedded fuelData/propertiesData directory, or None if not found.
+    :rtype: str or None
     """
-    return os.path.join(get_fueldata_dir(), "propertiesData")
+    return _get_props_dir_for_fueldata(get_fueldata_dir())
 
 
 def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
@@ -163,3 +205,47 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
         )
 
     return fuel_meta["decomp_name"]
+
+
+def get_props_data_from_metadata(fuel_name, fuel_data_dir=None):
+    """
+    Load properties data name mapping from fuel_metadata.yaml.
+    
+    Returns None if props_data is not specified in metadata (it's optional).
+
+    :param fuel_name: Name of the fuel to look up.
+    :type fuel_name: str
+    :param fuel_data_dir: Directory containing fuel data. If None, uses embedded data.
+    :type fuel_data_dir: str, optional
+    :return: Properties data name from metadata, or None if not specified.
+    :rtype: str or None
+    :raises FileNotFoundError: If fuel_metadata.yaml is missing or fuel not found in metadata
+    """
+    if not HAS_YAML:
+        raise ImportError(
+            "PyYAML is required to use custom fuels. Install it with: pip install pyyaml"
+        )
+
+    if fuel_data_dir is None:
+        # Use embedded data
+        metadata_file = os.path.join(get_fueldata_dir(), "fuel_metadata.yaml")
+    else:
+        # Use custom data directory
+        metadata_file = os.path.join(fuel_data_dir, "fuel_metadata.yaml")
+
+    if not os.path.exists(metadata_file):
+        return None
+
+    try:
+        with open(metadata_file, "r") as f:
+            data = yaml.safe_load(f)
+    except Exception:
+        return None
+
+    if not data or "fuels" not in data or fuel_name not in data["fuels"]:
+        return None
+
+    fuel_meta = data["fuels"][fuel_name]
+    
+    # Return props_data if present, otherwise None
+    return fuel_meta.get("props_data", None)
diff --git a/fuellib/utilities/plotting.py b/fuellib/utilities/plotting.py
index 231174f..2cde8fe 100644
--- a/fuellib/utilities/plotting.py
+++ b/fuellib/utilities/plotting.py
@@ -320,17 +320,27 @@ def plot_mixture_properties(
         "ThermalConductivity": r"Thermal Conductivity [W/m/K]",
     }
 
-    # Line specs for different fuels
+    # Line specs for different fuels (marker styles)
     line_specs_map = {
-        "decane": ("o", "o"),
-        "posf10325": ("o", "o"),
-        "dodecane": ("s", "s"),
-        "posf10289": ("s", "s"),
-        "heptane": ("D", "D"),
-        "posf10264": ("D", "D"),
-        "posf11498": ("^", "^"),
-        "jet-a": ("v", "v"),
-        "hefa": ("p", "p"),
+        "decane": "o",
+        "posf10325": "o",
+        "dodecane": "s",
+        "posf10289": "s",
+        "heptane": "D",
+        "posf10264": "D",
+        "posf11498": "^",
+        "jet-a": "v",
+        "hefa": "p",
+    }
+
+    # Fuel-specific colors
+    fuel_color_map = {
+        "posf10264": "#2980B9",  # Primary Blue
+        "posf10325": "#7f7f7f",  # 50% Gray
+        "posf10289": "#333333",  # Dark Gray
+        "heptane": "#2980B9",  # Primary Blue
+        "decane": "#7f7f7f",  # 50% Gray
+        "dodecane": "#333333",  # Dark Gray
     }
 
     # Color palette for cycling through distinct colors
@@ -357,11 +367,14 @@ def get_line_spec(fuel_name, fuel_index=0):
         marker_style = "o"  # Default
         for key, spec in line_specs_map.items():
             if key in fuel_name.lower():
-                marker_style = spec[0]
+                marker_style = spec
                 break
 
-        # Get color from palette using fuel index
-        color = color_palette[fuel_index % len(color_palette)]
+        # Get color: use fuel-specific mapping if available, otherwise use palette
+        if fuel_name in fuel_color_map:
+            color = fuel_color_map[fuel_name]
+        else:
+            color = color_palette[fuel_index % len(color_palette)]
         return (color, marker_style)
 
     def get_legend_label(fuel_name):
@@ -384,21 +397,26 @@ def get_predictions_and_data(fuel_name, prop_name):
         fuel = fl.fuel(fuel_name, decompName=decomp_name, fuelDataDir=fuel_data_dir)
 
         # Try to load experimental data
-        props_dir = fl.get_fueldata_props_dir()
-        data_file = os.path.join(props_dir, f"{fuel_name}.csv")
-
+        props_dir = fuel.fuelDataPropsDir
+        
         T_data = pd.Series(dtype=float)
         prop_data = pd.Series(dtype=float)
 
-        if os.path.exists(data_file):
-            try:
-                data = pd.read_csv(data_file, skiprows=[1])
-                if prop_name in data.columns:
-                    mask = data[prop_name].notna()
-                    T_data = data.loc[mask, "Temperature"]
-                    prop_data = data.loc[mask, prop_name]
-            except Exception:
-                pass
+        if props_dir and os.path.exists(props_dir):
+            # Check if metadata specifies a different props_data filename
+            props_data_name = fl.get_props_data_from_metadata(fuel_name, fuel_data_dir)
+            data_filename = props_data_name if props_data_name else fuel_name
+            
+            data_file = os.path.join(props_dir, f"{data_filename}.csv")
+            if os.path.exists(data_file):
+                try:
+                    data = pd.read_csv(data_file, skiprows=[1])
+                    if prop_name in data.columns:
+                        mask = data[prop_name].notna()
+                        T_data = data.loc[mask, "Temperature"]
+                        prop_data = data.loc[mask, prop_name]
+                except Exception:
+                    pass
 
         # Generate predictions over temperature range
         # First check if experimental data exists - use its range if available
@@ -460,31 +478,34 @@ def get_predictions_and_data(fuel_name, prop_name):
                 "-",
                 color=line_color,
                 label=f"FuelLib: {get_legend_label(fuel_name)}",
-                linewidth=2,
+                linewidth=4,
             )
 
             # Plot experimental data if available
             if len(prop_data) > 0:
+                # Get props_data name for the legend
+                props_data_name = fl.get_props_data_from_metadata(fuel_name, fuel_data_dir)
+                data_label = props_data_name if props_data_name else fuel_name
                 ax[i].scatter(
                     T_data,
                     prop_data,
                     marker=marker_style,
-                    label=f"Data: {get_legend_label(fuel_name)}",
+                    label=f"Data: {get_legend_label(data_label)}",
                     facecolors=line_color,
-                    s=50,
+                    s=75,
                     zorder=5,
                 )
 
         # Format subplot
-        ax[i].set_xlabel("T [°C]", fontsize=12)
-        ax[i].set_ylabel(ylab.get(prop_name, prop_name), fontsize=12)
-        ax[i].tick_params(labelsize=10)
+        ax[i].set_xlabel("T [°C]", fontsize=18)
+        ax[i].set_ylabel(ylab.get(prop_name, prop_name), fontsize=18)
+        ax[i].tick_params(labelsize=18)
         ax[i].grid(alpha=0.3)
 
     # Add legend
     handles, labels = ax[0].get_legend_handles_labels()
     fig.legend(
-        handles, labels, loc="outside lower center", ncol=len(fuel_names), fontsize=10
+        handles, labels, loc="outside lower center", ncol=len(fuel_names), fontsize=18
     )
 
     if title:
diff --git a/tests/baselinePredictions/generate_baseline.py b/tests/baselinePredictions/generate_baseline.py
index 67d6efe..0b91f05 100644
--- a/tests/baselinePredictions/generate_baseline.py
+++ b/tests/baselinePredictions/generate_baseline.py
@@ -11,12 +11,15 @@
 # Add the FuelLib directory to the Python path
 FUELLIB_DIR = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
 if FUELLIB_DIR not in sys.path:
-    sys.path.append(FUELLIB_DIR)
-from paths import *
+    sys.path.insert(0, FUELLIB_DIR)
 
-sys.path.append(os.path.join(FUELLIB_DIR, "tests"))
-import FuelLib as fl
-from get_pred_and_data import *
+# Add the tests directory to import get_pred_and_data
+TESTS_DIR = os.path.dirname(os.path.dirname(__file__))
+if TESTS_DIR not in sys.path:
+    sys.path.insert(0, TESTS_DIR)
+
+import fuellib as fl
+from get_pred_and_data import get_pred_and_data
 
 # Directories for tests and baseline predictions
 # test_dir = os.path.dirname(__file__)
diff --git a/tests/baselinePredictions/posf10264.csv b/tests/baselinePredictions/posf10264.csv
index 46d1765..f5eac7c 100644
--- a/tests/baselinePredictions/posf10264.csv
+++ b/tests/baselinePredictions/posf10264.csv
@@ -1,13 +1,13 @@
 Temperature,Density,Error_Density,Viscosity,Error_Viscosity,VaporPressure,Error_VaporPressure,SurfaceTension,Error_SurfaceTension,ThermalConductivity,Error_ThermalConductivity
 C,g/cm^3,g/cm^3,mm^2/s,mm^2/s,kPa,kPa,N/m,N/m,W/m/K,W/m/K
--40.0,0.8155335646187369,0.007441435381263073,5.385883820556434,1.2141161794435655,,,,,,
--20.0,0.8017870163101283,0.00681298368987171,3.186551296191339,0.31344870380866086,,,,,,
--10.0,,,,,,,0.027399809834902835,0.0015573708349028367,,
-0.0,0.7877750159741987,0.006449984025801214,,,0.20168590601758393,0.15333557601758394,,,0.12754384230554927,0.0014946196944507217
-20.0,0.7734734981982996,0.006376501801700463,,,0.6032234151495549,0.02533086985044508,0.02476740982671452,0.0009311718267145212,,
-30.0,,,,,,,,,0.12143487551294638,0.0026035864870536246
-40.0,0.758854670606472,0.006428662393527906,1.1202487212301215,0.019751278769878367,1.5852102148738378,0.18305065687383792,0.023040303411569155,0.00020663641156915685,0.11943453010186489,0.000565469898135107
-60.0,,,,,3.7367158627205708,0.3038424617205706,,,0.11546676509633357,0.0006870809036664399
-80.0,,,,,8.028295546971819,0.6306951189718193,,,,
-100.0,,,0.5992371143133661,0.01076288568663386,15.923196354015541,1.3213968140155412,,,,
-120.0,,,,,29.46321488373632,2.8705336037363196,,,,
+-40.0,0.8155103856313599,0.007464614368640099,5.384548853271682,1.2154511467283173,,,,,,
+-20.0,0.8017636954386373,0.006836304561362638,3.1858812644715027,0.31411873552849734,,,,,,
+-10.0,,,,,,,0.02739964557873879,0.0015572065787387915,,
+0.0,0.7877515362472498,0.006473463752750153,,,0.2019489253708018,0.1535985953708018,,,0.1275435749655079,0.001494887034492104
+20.0,0.773449840420139,0.006400159579861064,,,0.6039256775538239,0.02462860744617612,0.024767103410105146,0.0009308654101051472,,
+30.0,,,,,,,,,0.12143449347415747,0.0026039685258425344
+40.0,0.7588308129406026,0.0064525200593973375,1.1200887164361617,0.0199112835638382,1.5868450780907746,0.18468552009077466,0.023039904918752383,0.00020623791875238467,0.11943410886708083,0.0005658911329191607
+60.0,,,,,3.7401171991572113,0.30724379815721115,,,0.1154662638321051,0.0006875821678948985
+80.0,,,,,8.034741768664695,0.6371413406646953,,,,
+100.0,,,0.5991728391147394,0.01082716088526059,15.934494237972615,1.3326946979726149,,,,
+120.0,,,,,29.48174921391003,2.889067933910031,,,,
diff --git a/tests/baselinePredictions/posf10289.csv b/tests/baselinePredictions/posf10289.csv
index bedf839..b657506 100644
--- a/tests/baselinePredictions/posf10289.csv
+++ b/tests/baselinePredictions/posf10289.csv
@@ -1,15 +1,15 @@
 Temperature,Density,Error_Density,Viscosity,Error_Viscosity,VaporPressure,Error_VaporPressure,SurfaceTension,Error_SurfaceTension,ThermalConductivity,Error_ThermalConductivity
 C,g/cm^3,g/cm^3,mm^2/s,mm^2/s,kPa,kPa,N/m,N/m,W/m/K,W/m/K
--40.0,,,7.507948035184114,6.5920519648158855,,,,,,
--20.0,,,4.24045399508395,2.25954600491605,,,,,,
--10.0,,,,,,,0.028407578965936976,1.3851034063025458e-05,,
-0.0,0.8309075418516484,0.007784125148351584,,,0.08660861469983731,0.03825828469983732,,,,
-20.0,0.8168993942721436,0.007033938727856404,,,0.27321768591796414,0.06523462108203587,0.02587880375673309,0.00015129275673309017,,
-30.0,,,,,,,,,0.10792801466210523,0.010052754337894765
-40.0,0.8026057063960078,0.007144293603992158,1.367514017820846,0.20248598217915403,0.7531450373224744,0.3179920713224744,0.024217518294994553,0.0005074207050054479,,
-60.0,,,,,1.8537008936525574,0.5482419946525574,,,,
-75.0,,,,,,,,,0.10045608472357537,0.008486223276424634
-80.0,,,,,4.142277288892066,0.8061045468920658,,,,
-100.0,,,0.6977234633132008,0.06227653668679922,8.516417387410218,2.1341738814102182,,,,
-120.0,,,,,16.286558420578324,2.5067144905783234,,,,
-125.0,,,,,,,,,0.09225950233374283,0.00860588266625717
+-40.0,,,7.505044907152401,6.594955092847599,,,,,,
+-20.0,,,4.2390408189958135,2.2609591810041865,,,,,,
+-10.0,,,,,,,0.028407237447798647,1.4192552201353764e-05,,
+0.0,0.8308723433887537,0.007819323611246265,,,0.08704862669817676,0.03869829669817676,,,,
+20.0,0.8168639288926455,0.007069404107354571,,,0.27439414117821065,0.06405816582178936,0.0258782214609667,0.00015071046096669719,,
+30.0,,,,,,,,,0.10792761258438621,0.010053156415613787
+40.0,0.8025699413648093,0.007180058635190667,1.3671951736956889,0.20280482630431118,0.7558883689289037,0.3207354029289037,0.02421678014184961,0.0005081588581503926,,
+60.0,,,,,1.8594192315039126,0.5539603325039126,,,,
+75.0,,,,,,,,,0.10045548410130546,0.00848682389869454
+80.0,,,,,4.1531373227981625,0.8169645807981625,,,,
+100.0,,,0.6975992964511253,0.062400703548874725,8.535493574870209,2.153250068870209,,,,
+120.0,,,,,16.317926296740087,2.5380823667400865,,,,
+125.0,,,,,,,,,0.09225865338450474,0.008606731615495258
diff --git a/tests/baselinePredictions/posf10325.csv b/tests/baselinePredictions/posf10325.csv
index dcefb1a..4c799fd 100644
--- a/tests/baselinePredictions/posf10325.csv
+++ b/tests/baselinePredictions/posf10325.csv
@@ -1,12 +1,12 @@
 Temperature,Density,Error_Density,Viscosity,Error_Viscosity,VaporPressure,Error_VaporPressure,SurfaceTension,Error_SurfaceTension,ThermalConductivity,Error_ThermalConductivity
 C,g/cm^3,g/cm^3,mm^2/s,mm^2/s,kPa,kPa,N/m,N/m,W/m/K,W/m/K
--40.0,0.8351805862254434,0.00868608077455657,6.46195013881539,2.738049861184609,,,,,,
--20.0,0.8215770343700424,0.008106298629957598,3.7221869857688796,0.7778130142311204,,,,,,
--10.0,,,,,,,0.02794563148900469,8.277151099531088e-05,,
-0.0,0.8077210579942483,0.007395609005751647,,,0.15123802785325355,0.10288769785325355,,,0.121532038531724,0.0026987304682760116
-20.0,0.7935906587552476,0.008109341244752377,,,0.4573916369164672,0.02223867091646725,0.025362374564334628,0.0005436355643346283,0.11773349322663719,0.002458814773362808
-40.0,0.779160570944024,0.00816442905597603,1.2465786144401685,0.06342138555983157,1.2129921587874934,0.3910365557874934,0.023666414390480225,4.678239048022323e-05,0.11401351334435658,0.002044178655643422
-60.0,,,,,2.882097588054224,0.6096320970542237,,,0.1103462678289954,0.0018652701710046016
-80.0,,,,,6.237942743287926,1.3062091242879257,,,,
-100.0,,,0.6497220808733932,0.030277919126606823,12.461340400164664,2.597873163164664,,,,
-120.0,,,,,23.22344459897438,4.463516718974379,,,,
+-40.0,0.8351574072380663,0.008709259761933708,6.460319977618209,2.7396800223817905,,,,,,
+-20.0,0.8215537134985513,0.008129619501448637,3.7213832449838535,0.7786167550161465,,,,,,
+-10.0,,,,,,,0.02794543468604107,8.2968313958931e-05,,
+0.0,0.8076975782672994,0.007419088732700585,,,0.15151571402646025,0.10316538402646025,,,0.12153180724111683,0.0026989617588831782
+20.0,0.793567000977087,0.008132999022912979,,,0.45813356614511086,0.022980600145110885,0.0253620266788215,0.000543287678821499,0.11773319540798219,0.002459112592017809
+40.0,0.7791367132781545,0.008188286721845572,1.2463927637332222,0.06360723626677789,1.2147208541399832,0.3927652511399832,0.023665968681056217,4.6336681056215884e-05,0.11401314690365934,0.0020445450963406664
+60.0,,,,,2.8856977901650787,0.6132322991650785,,,0.11034583033821149,0.0018657076617885071
+80.0,,,,,6.2447736169035775,1.3130399979035774,,,,
+100.0,,,0.6496486957331365,0.0303513042668635,12.473327173108917,2.6098599361089168,,,,
+120.0,,,,,23.243134550414723,4.483206670414724,,,,

From 67aee46377ad39559da5a56291f33e50f0a69805 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 15:26:37 -0600
Subject: [PATCH 27/48] Format

---
 fuellib/__init__.py           |  6 +++++-
 fuellib/_data_locator.py      | 16 ++++++++--------
 fuellib/utilities/plotting.py |  8 +++++---
 3 files changed, 18 insertions(+), 12 deletions(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index e155525..fcf40d8 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -144,7 +144,11 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
             self.fuelDataPropsDir = get_fueldata_props_dir()
         else:
             # Validate and use custom fuel directory
-            from ._data_locator import _validate_fuel_data_dir, _get_props_dir_for_fueldata
+            from ._data_locator import (
+                _validate_fuel_data_dir,
+                _get_props_dir_for_fueldata,
+            )
+
             _validate_fuel_data_dir(fuelDataDir)
             self.fuelDataDir = fuelDataDir
             self.fuelDataGcDir = os.path.join(fuelDataDir, "gcData")
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index e66f44a..865248a 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -24,23 +24,23 @@
 def _validate_fuel_data_dir(fuel_data_dir):
     """
     Validate that a custom fuel data directory has required subdirectories.
-    
+
     :param fuel_data_dir: Path to fuel data directory.
     :type fuel_data_dir: str
     :raises ValueError: If required subdirectories are missing.
     """
     if fuel_data_dir is None:
         return
-    
+
     gc_dir = os.path.join(fuel_data_dir, "gcData")
     decomp_dir = os.path.join(fuel_data_dir, "groupDecompositionData")
-    
+
     if not os.path.isdir(gc_dir):
         raise ValueError(
             f"Custom fuel data directory is missing 'gcData' subdirectory:\n"
             f"  Expected: {gc_dir}"
         )
-    
+
     if not os.path.isdir(decomp_dir):
         raise ValueError(
             f"Custom fuel data directory is missing 'groupDecompositionData' subdirectory:\n"
@@ -51,7 +51,7 @@ def _validate_fuel_data_dir(fuel_data_dir):
 def _get_props_dir_for_fueldata(fuel_data_dir):
     """
     Get the properties directory for a fuel data directory, or None if it doesn't exist.
-    
+
     :param fuel_data_dir: Path to fuel data directory.
     :type fuel_data_dir: str
     :return: Path to properties directory, or None if not found.
@@ -116,7 +116,7 @@ def get_fueldata_decomp_dir():
 def get_fueldata_props_dir():
     """
     Get the path to FuelLib's properties data subdirectory, or None if not found.
-    
+
     This directory is optional.
 
     :return: Absolute path to embedded fuelData/propertiesData directory, or None if not found.
@@ -210,7 +210,7 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
 def get_props_data_from_metadata(fuel_name, fuel_data_dir=None):
     """
     Load properties data name mapping from fuel_metadata.yaml.
-    
+
     Returns None if props_data is not specified in metadata (it's optional).
 
     :param fuel_name: Name of the fuel to look up.
@@ -246,6 +246,6 @@ def get_props_data_from_metadata(fuel_name, fuel_data_dir=None):
         return None
 
     fuel_meta = data["fuels"][fuel_name]
-    
+
     # Return props_data if present, otherwise None
     return fuel_meta.get("props_data", None)
diff --git a/fuellib/utilities/plotting.py b/fuellib/utilities/plotting.py
index 2cde8fe..c529473 100644
--- a/fuellib/utilities/plotting.py
+++ b/fuellib/utilities/plotting.py
@@ -398,7 +398,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
         # Try to load experimental data
         props_dir = fuel.fuelDataPropsDir
-        
+
         T_data = pd.Series(dtype=float)
         prop_data = pd.Series(dtype=float)
 
@@ -406,7 +406,7 @@ def get_predictions_and_data(fuel_name, prop_name):
             # Check if metadata specifies a different props_data filename
             props_data_name = fl.get_props_data_from_metadata(fuel_name, fuel_data_dir)
             data_filename = props_data_name if props_data_name else fuel_name
-            
+
             data_file = os.path.join(props_dir, f"{data_filename}.csv")
             if os.path.exists(data_file):
                 try:
@@ -484,7 +484,9 @@ def get_predictions_and_data(fuel_name, prop_name):
             # Plot experimental data if available
             if len(prop_data) > 0:
                 # Get props_data name for the legend
-                props_data_name = fl.get_props_data_from_metadata(fuel_name, fuel_data_dir)
+                props_data_name = fl.get_props_data_from_metadata(
+                    fuel_name, fuel_data_dir
+                )
                 data_label = props_data_name if props_data_name else fuel_name
                 ax[i].scatter(
                     T_data,

From 0c5b26c9b8595796c9ee4e44f619c7d491648b51 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 16:26:48 -0600
Subject: [PATCH 28/48] Add documentation for CLI

---
 README.md                                     |  59 +----------
 docs/figures/composition_posf10325.png        | Bin 0 -> 180271 bytes
 ...operties_posf10264_posf10325_posf10289.png | Bin 0 -> 582758 bytes
 docs/tutorials-cli.rst                        |  94 ++++++++++++++++++
 docs/tutorials.rst                            |   1 +
 fuellib/__init__.py                           |  52 ++++++++++
 fuellib/utilities/plotting.py                 |   1 -
 fuellib/utilities/temp_converter.py           |  68 ++++++++++++-
 pyproject.toml                                |   4 +
 9 files changed, 219 insertions(+), 60 deletions(-)
 create mode 100644 docs/figures/composition_posf10325.png
 create mode 100644 docs/figures/mixture_properties_posf10264_posf10325_posf10289.png
 create mode 100644 docs/tutorials-cli.rst

diff --git a/README.md b/README.md
index 4ca0025..84e9df7 100644
--- a/README.md
+++ b/README.md
@@ -50,65 +50,10 @@ pip install fuellib
 ```
 
 ## Library Usage
-This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, [`tutorials/basic.py`](https://github.com/NatLabRockies/FuelLib/blob/main/tutorials/basic.py), which is documented at [https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction](https://NatLabRockies.github.io/FuelLib/tutorials.html#introduction). The script [`tutorials/mixtureProperties.py`](https://github.com/NatLabRockies/FuelLib/blob/main/tutorials/mixtureProperties.py) calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
+This repository includes multiple tutorials of ways to use FuelLib.  We recommend starting with the basic tutorial, [`tutorials/basic.py`](https://github.com/NatLabRockies/FuelLib/blob/main/tutorials/basic.py), which is documented at [https://natlabrockies.github.io/FuelLib/tutorials-basic.html](https://natlabrockies.github.io/FuelLib/tutorials-basic.html). The script [`tutorials/mixtureProperties.py`](https://github.com/NatLabRockies/FuelLib/blob/main/tutorials/mixtureProperties.py) calculates a given mixture's density, viscosity and vapor pressure from GC x GC data.  The results are plotted against data from NIST and [Edwards (2020)](https://apps.dtic.mil/sti/pdfs/AD1093317.pdf).
 
 ### Command-Line Tools
-After installing FuelLib using one of the methods above, you have access to several command-line tools:
-
-#### Exporters
-Export fuel properties for CFD simulations:
-
-- `fl-export-pele`: Export fuel properties for PelePhysics simulations
-- `fl-export-converge`: Export fuel properties for Converge simulations
-
-Example:
-```bash
-fl-export-pele -f posf10264
-fl-export-converge -f posf10325
-```
-
-Run `fl-export-pele -h` or `fl-export-converge -h` for detailed usage information.
-
-#### Utilities
-Utility functions for combustion simulations:
-
-**Temperature Conversion:**
-- `fl-C2K`: Convert temperature from Celsius to Kelvin
-- `fl-K2C`: Convert temperature from Kelvin to Celsius
-  ```bash
-  fl-C2K 25.0
-  # Output: 25.0 °C = 298.15 K
-  fl-K2C 373.15
-  # Output: 373.15 K = 100.00 °C
-  ```
-
-**Transport Properties:**
-- `fl-eps2K`: Convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (for CHEMKIN chemical mechanisms)
-  ```bash
-  fl-eps2K 4066.75
-  # Output: Characteristic temperature: 489.118 K
-  ```
-
-**Available Fuels:**
-- `fl-fuels`: List all available fuels in the library (built-in and custom)
-  ```bash
-  fl-fuels              # Simple list
-  fl-fuels -v           # Detailed listing with metadata
-  fl-fuels -dir path/to/custom/fuelData  # List custom fuels
-  ```
-
-**Analysis & Visualization:**
-
-- `fl-plt-comp`: Plot fuel composition by compound and chemical family
-  ```bash
-  fl-plt-comp -f posf10264
-  ```
-
-- `fl-plt-props`: Plot mixture properties (density, viscosity, vapor pressure, surface tension, thermal conductivity) vs. temperature
-  ```bash
-  fl-plt-props -f posf10264
-  fl-plt-props -f posf10264 posf10325 posf10289  # Multiple fuels
-  ``` 
+After installing FuelLib using one of the methods above, you have access to several command-line tools for plotting, unit conversion, and exporting fuel data. A comprehensive list is provided in the documentation at [https://natlabrockies.github.io/FuelLib/tutorials-cli.html](https://natlabrockies.github.io/FuelLib/tutorials-cli.html).
 
 # Contributing
 New contributions are always welcome! For detailed contribution guidelines, installation instructions, and development setup, see the [Contributing](https://NatLabRockies.github.io/FuelLib/development.html) page in the documentation.
diff --git a/docs/figures/composition_posf10325.png b/docs/figures/composition_posf10325.png
new file mode 100644
index 0000000000000000000000000000000000000000..3aac230b2a4555e0f0a0f628bd824471154f6c1a
GIT binary patch
literal 180271
zcmeGEc{tT;8$OKNyLRmc4T=(}qzI8&A{xvJWgg3rWQtH`yFoH%NJ2y+WXzb-V8{>~
znUgXkB$+e6=e<%p&+qs5`yTImeAjV2PprLs*5`8%*L7a!d0zJorQ_1nE4QqqqN1Xf
zl{tEXifWw~71grXzn9^i+kaj(!#^Unk{Y%rt<Kn9JZ)o4b?mh5d2=gUb5n!u_Qp0B
zOsy>WxOnz)?dRNn*4Fm?1rcs;i(jAMva&JZ-Yr$9iL0zQFQa*Zii&F|`QIOx;>7K#
z{-C0gJ$gvxQpA_Gzamua=EUbFo^Nm4vCQ+@jT>9H)2+<@+E}l8sBK@PWuwN3*{Ok+
zJhM$n8p)eao!;SjNQTYV-Ii~@bbou{jLMl0?@xcKdKcC+G9>KJ(c|3bTGey+(1(%y
zza;U(_bhrz#Hq)|EMN2%evvq{RPuk{>soPW{r|q_a9C;S|GX!0ciqPS{gMFI|8u$j
z&ySsop}L-f@y3lCjhubx`5wevUmdVX<l@(eq0B7ZC-yfLGbZzDVx|4Pn7Dqd7>SUR
z8Z}E6R*$<*IIpps^LVq#P;Y!x$+wTMI<IeYmGRfiJX1U~Ib!(Y@?Xk1mThO>CMfe;
zz7xK~Z%Q-Jn&bZ{yM<lE_Vc<{^UPz9&6{g|e_n5U&(9SnA#l@Kd$K9rki&L$na6aL
z>(s-;r4nNTm%e?tgs+QLj5^rsmRcUM|3a<d%d0DTQ^jY#z3OgUxpJk!^{w`vSJoaB
zUbDX|pvk6UZ-w2LpNst)->=P}qFHfkuXp@iNA|Dz{VDo?i6y7R#Ke66-sxZ0nNh*z
zy=JROk)}x`Z7GwJ`P&rTCzVrwu$5WlwB54)eu9RsK2~~d(25_IRg(N00f+L6mUHY5
zQSXTH=JL9C<oYcqeSOzS;|SYYS?i(VO{H0ldJL>l&Ng`yD^#pxm5T6meC(|cPqO~H
zDODL?FQ$cSQ3c1*^PMS5FJ)qAdvdW_R;GyiSQziFsnOn`x`RKrYJ%QM4#%H=prp2p
zddtS;+nmq)FbGxM|8wDerCs$2pMU;=gytpOp@F~H_&S<j?}e!SHl_7rB@9+YAFpp?
z@}}F%8}{?!DyEm27k++iw#{uOJ>c)?T8Ey<i!q7p?Cgo3cP#uz6|?_7r(GAX=pXAR
z!v5(^c#hV9`O~q6nx{?^O~#?R2A#e_ehrVbrDvzc42L?3c`kl^w^`iP*@sC?<ly|w
z$oCId)*3u_|0DhU$CtcL+kW0fz@DFDC6Rty_~X?}T{opG*Mzi`u|_eryUn{i?BC}4
z{iAiWacFUNtEKjru{#20QjsEdF%Bc2((Bc<i+5aS47{uOa;Kj2Q1K{VZK{6ZiHWs8
zuii}aGX^TXI8%9hebDY>a<7(us*c*0b*|oPYOG(nzu{4=am6iKu>!e%OsD*-EpoAv
z-gHAvhW^EWEN4_ooGP20e6?*Zfa!?G>KkUMPX+I~j5o7kgjAg*Cd0&>>=hzK1YD<j
z<27>6pXSueU^&;A66xyKU!SzeEG6&E6iH*`HTf$<OZW+K&QBE1`?}6f6`Mr4&>gwH
z=GYQuxj=Kh_h-T_3@`<LU)!FP-gWv)FJRV?JU(IGoMCK@O%i&JN$}nISGIGF+E!0_
z!%E4vyNmA@9xNE?7_C#}9&zHcdSCFlz0l1Wcf^CewfTU(xx(#zJI=hh6SB-3QQ>G?
zzFn+xtW<iHNdNsov;Idpep@fT;~B>T+a7T?9v#SOFBz#8-?n7gYR}ZdIgtm)!f#oA
zuzHtkom@CKRg-R5D%=%t#9;90M3v(kw~;qOrsqo$A~x&0jH$Ma*T%`$eF*7lGS7Tt
zFh4utKRe#aO>Oj0fvn@yf?+w4@zbw7;{I4(#>bpjD()|qms<9YWj<1VGL0@Mou#_z
z;(G^HvRZ5-k3}7H2_dshXVIE{tWod!nyt0fcEkBYB@FR{-sKZ~A3FWT{rnG3vCUTc
zY!P5D@!uA;jC+?EkHak%GoBSoG|e7m8MN6o9vkc#Z?)PMdElZS7Ok}LSa+zt6t3Md
zJJGHfWn9L$-9hnKxZtrPet{Dije1U!jVZcy?b|e>eoUK^812SMkqtk7NuX=VG7Gir
zd-HY$Ys5N#(P5dc6aGwM9W~P1-sC!)&gJuMa@pAPbmG0Y+f3)Sp_i+;i((|b<=T!9
zznO@Su#wv$qeRD`i*YE=?MqDJ<q~%s{cO8e^)bt-53hInSLW+w(2F*!M4120o%*Jt
ztfX7_Vw+u7i>%;&R)%ZaoWH%egyAM3IPM(liY>B&8={<t%S`tj_T3_2U}ro{KQ(Yi
z_S1ZaH@BbA`%61xr^-rZjeMCdzO$xxshS(lDJ*WaDvVTay>{)Ib*(IGT-25N6+WB!
z&M1gfDd<`k)0##Vjz-PTu%_gFy2F2U$H_8}39NVftVZo;DaHD7mpSGp+~$Q`N^aTv
z6w3<s3}Qc;{wrz2a!)MGvQqJD^^?J8;mXY{Dmyi$jfcWGR&g*WGKZhPoG~+7^!%SC
zopaNJ{_meU#s9G{?q>2+UHj%;$3=&Vgr`2o)@9}82c8OKDcEsxt@zA&M}4<FlM%bB
z-Mhrju&;P4+u$PTvXD<yk2KFcI`CsMs0w*)KmTic(l+D8_lNO!wH^g{7Il>c)lq*c
z%X!ysUAonn&giC<<5-_+qT^c8ZxVUej?NVP;b12?z&bH<gY~ZGF`+j8H3z<=*>-;G
zGk1&<veL`9o_oGztq<8&)H@T{WIapbLiM)bBS%VhtQTK?jL~go$ok(y%Zo>Q>%8~!
zxy{W8kG(x<SS>bDDa_K*v+k<X;8USl(Wg^=Ny_UV9FN?Bz2<#ntr&k&fM=9YJnN2S
zvX>NimmBZVZ|LYK_U`oItMVMkZspo)rRi~$1p(^jvx!yQ1^Z^rt0NEOD73Qj$x<oO
zcmyo9W4X60j{3&;NzG9VWBd*t+3h8da^B~+h=;3}UR|-Fc3nspedsZnqs$IxY<p{W
z&3!KwFTq}{u<-dYSQ6bk*%s1AbOcNL@KbC|>Go$X6$JxEBg6XhQ;khlg|i0b!F!Y=
zS=w!)%!l8o4G#=p36%Fu4;K2nOtcC4iH$dX|N3OGykIu<*%U@d7#X_m{AC?E!9mvW
z=+q})^G{fvIWE}G%24cfVBBbywP*0z^w$&1<154XSV{7}G&5AXv+)qG?DH3W9xCrH
zREyO-JQ@FesB~LWy_UjP?Ti$Xx@||qRTXL6Z9avWJlL^ScAuQ4{6W5+yH1u<nU4QP
zAG&EaJ3XOz<z&W+>OFgw_ImF0OZfNssvnQJJ?AIfpbAdEwrW$!pxgZPD8uIpr@Bw!
zR?osLqxbs1c^6WTZw|GK+#+zUh)i&ZDvk3^bCs`+srq>nW7t1ZrG8sGE4T}NbYw2?
z2$XQIr#>RHnx2=XZT0MhrXof0*^Sd*G8I=d3ZKtv)ypuFjkwft!*p9-z-V3Gg`Ukq
zmO5dNCy>C7hH~i|e5wqqKePAl`Ijq_p1!zSZU$@v1mIK@dGWnw-@4o8hqVKv;;KbQ
z6uRUF-#@KOi#M%%5F+a|KUwY8VdXZh9rpOIAJ3-Z`YR8YD`hm#B*gl85wv46a_8z%
z7KWmrV_EfwOa(nI_BZSmY&jd7;Pc+G{}KO}?UQGwbtbWF$U61me)c`)-LwcoY$wtk
zN9Opl)tlD|wb`EJ)XwIlj%KTP?#<E^C+*Laerc$KO>qP3afL=BO^bE&n!KB21EhF`
zR9*J&-m!tZ;M?ImUvDn~*O~84SR9?1)dwpyqgK&zddB)66k$Tnwi!&aYJWB)K0hLE
znx>+eKlv%Vf<<_t#7UU>Z=&v<R1_1?bDivts5Z@L&Uc#lYW%GCafYnmb8NR#&Bg<h
zT|u$DTX>CR7;Rqf=v~&WGYxD?NiV<#_jIOZ1xG`(`cn%JR_*VJxHLVGgH?U#%Ccg<
zYS9hdy(I2fcb0_6w*r}X_oqBbDNij%V9VAiJz5;bXL9^YPP;1)B5}lou8PV=61h9;
z)%Eu_y52>2<-h$Pd9Q9hKi88l8N61TeoRGz^M7}LlgvRIm7a1S_18`M&ekf%?XJ@n
zm3IU<l0^Rc>#ts+I(5MdJypK#vtKXvKKSg#Yg`^o33_jeCs{O?;JcmjvfSETCL|rK
zq_`EaUfT_eJlCt*@AaeS+kFrVEyBn9-SkM*JfptbtlhO^E*Z=G#pk};th%trN>-!t
zV!Mla&8r{xMOChO+Tr5D&t37-+g$j?%H@WSjRB+iC7#1l9BM3_6X<s&aeZo_o2+8<
z{N4vOxz?Sx0cEy$eyf$|E*8h)8*L2B@ANwmV^V#$2FN$TOUjQi%r5ecU@Ird$sunr
zL|b2ZP*>#Z#Y*{hL|<9sbv#m}Sj+5Dh{qZNINBIz$~jVt3LHi<&J6;+dpdp1V?BOg
z;PLBgh+HDnOV1+wynUoCB;~t>7V)Rh;KTEOlG^Nfg=9axU~>Ah{*iW$UvFJJiBfgr
zp`4n5)(6PO7t*rI{pfLXmF(>@%n8kPCdacBV3KzF)op&$6PPmAAw-s9q=L+IRy8q_
z)*r8JDnV3L+SO=K>nfOUKX50-n?&7~$EF*oxA4pKh&ouZmOeJE>p+N*eYN5l!uR)Y
zuh!OO9r^lnyv1y&XoI4WZfaWEzI@wWn&ph=B_3O}3ij0}g}QnioE@#ZG&k8(H(w={
zvAYV>MT(i7n*zsjTP>gLbzAlp)qu;gU4N*Q^)NG(^?bW2%_O_T@W&LnC(8dU+a>68
zdmn_8_^VkjD|k=OZFWrgiT!|nq~c*}d!U$6nQ}&luA4*eod%6(j(rZ*v5_s98Lm*K
z^~ECT7a=K1MUdd-clNCo*fL*pJ8K<_|I(j981cKYfwe?`Za9?Rh=svzy0yLI>W1So
zLjQ(_3N&c!+&aA{J|g2~7TJW<%X6o{K9O&m({mc2#Ui`3MdO>iESu!;`@l5!zgE#1
zz0(^GtB_PWid*Zrcb!SDbY8nGH^`&{n2IUqosGQO!0s2KvfmHU1fQsH==eU=$!E#E
zVg<p^N?)?*_G;aiwuu5BDedkF-K$Nf?>r>AMP_KKKehD0U_sE`B(_buw#uWQYYeZA
zl(kgxA7xo_w(QeE)<b{g-CD{Rfd!=5DF0P=n7+lpd#_sVtxE0TX4#iYmRJwTUkzz$
z1F!P4h<jH|(+4a)!151Ap<M~RNztpd;t|W_c8Rz1h4c>6FAV(5uAkZPl)#&CA?|+a
zud)(HGbS&pHt1Y<a|xwPt#9I$<!h@F22f1zlJeQSp24cXT1BAQmBTqkHAzjm`JL<Z
zK>FF5nB=|)y9UjgB=yvgTe62~NEspwFkNRAQ~ee&q0YC#<gUY+;80{yaX;)^gH+m$
z8;h_7wp1USHlIOxs+mKwaeV(X%eMStJw?G&^Nf{&50Pc~sX5sc`;#+|7hqOuvMpL^
zDp&@4k;slOq33!!TAM7`#(LpyrJ1U>cbLb{FTi8FJdP$S5IFc`AY0xaFkYPcsm%LV
z8x%!vrqt`S+SVPbGqiijNXm8sh|7~vb(`kO3I;m8%du)tP*2snVH~*c0V#843wHg(
z-z;;`iG=##P(h29qw{mKb&Y|eUz+)JM@XnE8F0nY@8yeTZs7PaumKDLHg6ZIFNu&b
z1e3V%aK0=&snJH7p-iJCUl0jyTTdEY_*^(QmYU%8sVXwuE)q3{lyQbpS>UD78tKf$
z%(~+T9@)H_=N8IiZI?jR(Qi^OEojE6O*Z?D9qS9<jk-SnW4TeA{jh7$B<CKM4igf!
zGtW(Ub3gMOzU6#eosMQmo@|n-FRx326c2_ST$|Xhr2{x!aX*q}lzGJ#<P^mi6kx`+
zyOZ4783fL4M0R{9cZAus_w7kV-}d>r3C($D?qipZ?G9XbolIdIAfWu^lYtZA4+$HR
zpd71q;p&gamN4G^-+D5hw&-lsxp1t(#k_EKJRJ$=jLx%*gYT7T$x0i%!u%fj^0uIb
zmYN;FX-K`$E7p6f8g(z~s<{x10mSr#ZLPYFwWL&ccAI@`a_d3BEJN?T*&4=qEXmu$
zKe+EX`QWHSA8PF{Na33Gd59bt?Bb@i_cx1PIv=9#y;tk;>x9U;+3C_R&6$~f;a;o$
zaKw_%NDNxam1Wr`k|cuqz;GiS-5DL%-r6`*jiV02pKcqH!m}#DoW|qk%)#vp-LtC~
zKsWoX=)V{CO?|L=c9qKX_<&)2q&>T;I2KV=?w5b>9WgBNp^xjkK0Jn6%S6>R^NpZ4
z5PqD>A1jaD;V(<9!v5Z1yjOFC5JXbOLHn+oZ?$`?Odr~IHrAJy>%fIim28S)j-#*h
zkMsI#TV$!K*#)LuP0XfieQX+}%s^1cE8)56_W1`4a}Nv1fM}$hI#kka1|BN0S}DVR
zyzOFpa-Y%k{<60u(j|+#HM0$xZ2ocEO6kASb+QMKVTsY$qc*26>Cz9UwM-)Ic)7HZ
z_M=?JHB|)c`WxQlA2(iANob=?cDJU}*FzGcNSItB`t5mgA0XepaxGMdd|a&=#udq}
z?Lf`ET&>7*J{5DQz?Jm^o$8RePSlHy{(B^oT^uDidk)<b+g_xvvJ3k(cVcp6mi$>I
zI#QX7UEc}(DYwK9m1$^wF59-|lw#n*{S8Q?C&oesM7aEW40y+}3ic+6G#}hnF+xu`
zaJ*CsUjE{hBn~q07#vmWCKcl7>uWc6N|zuHZBUg3-WfT_X3&&&S~H{_c|pFdQLxn<
z!C>fUN%!@&+n9_kD)#17=9(jeXRJ}g0+KE125}K;-3;t3<<M*tbWD!cF|Y|ZGLyY9
z!|6_{ne`QFLC?L}P0S=qCJVkP1gz^Fk|#(<qz?;0BnK(}Wd1*e{P%VR>!mar2$K9R
ze~a_R%a<9`CTb`_UGm2>ZVrrCqmb3~TcAf?v;G3NYOf~R-Ska+2Ei(LCO*KFXf}p{
zlvJUU59RV5>MS);Wo=%kuhrbJ72HN}maouz;m!=ZzPEdFvNs5vd+S+#3T1M&W?Nu`
z_OsMtj?@BPKasu!4PCJAJeKcrM=uRzHP&7zTQ<j{@BwMw-_T!7umRYr{_FJ&m+>x}
zy>l~~npRK8VwnH5byY*E<LzIdt6sZ>bm~h`CV+}6qzWWJ04j>4Sjz6+)qX->^9^uc
z;vM^e7GvF>Iz@5ca)SSRA9R}YgUES1Ypi_{8%4Qci;!i6b@R)YFKx`8@R|aoJnR>=
zdM}zZT=(EuQlQxo*Z?0;K++B}u4e#I*tiO3hMTZeI#BI+V##IeOm)mFL>&|}F-zBb
z>Zp00D|jq3oxj>0OEp%Zbm0!Wgnn{sR7t1jW+p@I=djQ=sUFKPJ)lj%WZu&4UFV+i
zn>VGATgwq`P`I*;8v8*>DL}P#tiRFUIk>_}tM*RPO0%Ible;&nA`eJAXl0vg7JPfT
zDjis`Xs5sEi4+%AljfAtdQI<;kIfo)h8hz-Mma1{k@NnAhZdBHVYT5$gUwn6m#oA5
z?(tf^)5*6rRS^ic$kuFNFb}dD2DFiUmeTC3o}~7u!2F45eX=H>iCs|imBf5HuyhPA
z)8oDsTu(Ur0I5=3_Uh#BJ1)|D{}Onvima%<ME2xT^W^lBE&E+87am_#v3qut{K7BY
z>#puYl;LepQ25I7f)N18uwjhp(uaQ%Rud#=7ulR?5}IFV-hb<i^U=6x@w>!g6U(&}
zULKyCn<y+ru<t-J^Cel(LH4lF@q?3Hx3MPk#*}r9pD?ML?7j8inaR!{-=)<2i#{H1
z0RNMb!sjwI%DeRl=-2YcVrmv3#;P6ffcM=1*sps{(TeQ9IkoTgnwiZF7J#J>r<sNR
z5om5W)}Ujj;SC~74X8wb$No#xcciV37PC~}C2NGYYh|6IH8!n^*l*ez{0IbJxB1>G
zq!>Cbo!hEgtEGP2O?1ZkpB!k{Bcn_cK`$?_j-=FQ>~%cJIqw}cLkd57Fw|Oibr9w?
zhFxU%_0G(cOfZge>3L6pc^iNQllzjZ?#u$GRoIE06anhz7<)^-?I6}GK_^*S-q`+x
z8O-epl<z=c;9C~N8ei)E#}dMf`6i|0vpbG|p$9+Y)bMesxKrQ5_*xTA<9HBzA@+NB
z|HHn^#cyGn*u8${n&{dD$Q5ecC_o}rC)e+kDoWPOjN!CExuO}ejsL7t*tq`IM*s(u
z468c`e%lZ9lC)$iqLxkenT$uR&s?TYOi0>?zYF>nSi4!o_H08`Xx}qB?W}Vl%Z?B(
zXDFv|b}y6T=X?CZ1{ikJv!!;8x|@)ut8<?s$rgp`yK0{4jI~KErWS14POY}Es1p=^
z<&zMp&JtgQdBo1-a`BN$KIMi$>en2tp0nB@PaP|x#0x7+mD?h~8OJ4FL~T-v;I^%M
zSM$s~ZaC#}rQd<Cw^hSYl^Z-P$pD<ZG*+*knHV(C#1_fY^$8p$w`yA#eV{L4dy32&
zI_Cd6p#zB7+mj8nNMGIGsPDFw_K}ot<$SZEva+(u8Ke+GiuSiJ2_6sY%Uj6YDpEh=
zt9t>pm&~&j2Tyu$;`Wnfa$qTcg=`UI-HcMW1Ynu5yBDj&EAcBrqoU9y6Eh4<`ow#u
zP<f3aLRN$2F?$Du%(1sIPChibWfpjplx}e?t7j4Mj8)@N?P^XO=>@sB0g+qO!KPrO
z>VRfFD12SHf-`&P#0iw1GJpL^^F+-S{<8t~)pyG|HRBP%%h-c^2$z~4g@V195H_lj
zsK7Y-T^E)|dH8?J<19#VweEK0CZCG;$ZkV`0Fn;EWc{+cmF)^8YD@*RrkvtJaK^n-
zJtUy2s$;Kxu1`{b*yqQ%pI5~G%Vsi9VSim<yim!L{%Xwuqm7^c1u1p*eSw3TOT>k$
z{k>vUZ(m+pRcCk0mq<ub3>LwvTjjV{_|S_v+N#;5AQ5VS1NxCUJwjEovV=hlCNJUR
zRYoN9sW`*%@<h!?IoY%myjEbE9Mi!M7_0VRH~C|Y8L9R_T#~yI%d47s=8Z5^lFYsZ
z+_invf6J@{i91Mj5;$~s+x<fJvYhMs_RYpX8|OX9(oC|lSA2F)bOon|F0hi1wq@Qf
z!8Y5v&!DTf+`ai`_g8285C1GLLCL0-n13?<I3;{gPksm2m5~x<o=fzLI>EqW1BwSH
zjY>xJG&DA|Mw~yaHtX{3#d7Nxe{C{S5u`7bWsTg3;VVz{2c+JgG@N{wMdBlhV+DP_
z8t5*$VEZ!qIs=ZZxq<Ih&&v{q1T;#YU$#5^esy8jNJ0Js#i+Zg-<6005hGyH!rz$z
z!bqkkk+));K6r*xtS=#!cg=H|gW{z2RC8h3vA)?uV`0;EUH)(C2_P}_6=-;!>zwgo
zif|7^oXeG+gk&Q7YAFiMjorH@ONK!62_=a@>^$B+DA1_00ok=8S8w=k;6y9xHQQL*
za6yX>tWNKbudYkmje`5Ve?dvBT72Hw90gP_B|PZ4jMei$H$;?8M^LnFtGvy#Gjarx
zVLzF9{(x8%1J)>8N<l#BC7$vF>BM)gJ~2c!66<$A;$E0vJPULuFYGPR{x|=Yd5qk*
zu;~ZPlYJ%U3W6)-mV86^>FZnR0FufQXIVUB*i(zU@<K)D2@E9CT1R41iWg;5JIEaz
zk^QDXBO34!kxGcYg-+Z2rs^c9N>R`bQKLPjZgV41{LU<zR|>_Jtzq0udk=J)>1SoZ
zsfodDy7{&@te#Dti7Ql>c~8pzz_HsIv(0OMY_0%~Yy0~b6wp(&fmY83v4N(1$C{UN
zeMx(@rZ>lH5D`56(;c%1?W^a<8ud#FzeXsavV!?uMK>?<)kBE>#yTe0JiVXlS)8{w
zf4);NVH9MJC>e`ttM^j_@+^h1o(Ow9JJ}PJYJ0)nt`7K_@FsQt`Y05tJ`*OyfMZuV
zW_gp_Y`=aT^+YqtP94RY^c4!bT~Vni2)$-KL|eAS0s2)8iddpHCYJ`8r&$5*HjHVw
zl!>)EkG$!ucALAf<y<C8NNGSDgW;~SArP}gr1<;{5w>Aq_eWM)HVI@|fJ=yQft?_&
z6qa0X$+3#6GP8MnuAUt%aWGR^roak!S=Zw%f2@ZvCQ}-|^p%kz)`+*)t(nT#YBXzZ
zGIC@hkv_N(WJbZl3V-g*xcP2^NC~=wgfrU0q>`%lv^(k^%eu22MK?74SyzZOLw?Rk
zS)fD%R{aXma=RvXPnut5rXkxy=p?JO<Q`5=pXE%Kwzutj3SKt3Z+CY)V({p8CxW&K
z8nb@A<NAGu=Oe|m>N+=<Q5iki;RNJqoc|t*T90sd@X7M~d*w`kovhyoG~Soi%)^i*
z4QMIcT|(4H|KWh8Q|6Crq?Bvyfk{S9ssne)$0UA6jmhXTS~G-_*jSZ2><Y4tm{|E?
zM5+$34IDw)KjZQdUmH`}AHPHgyMn_snY9=Wk<2K|1E)YM=5y|$Sz`(cO_U@%_4&{K
zyPc@0qv3-basWjgpmUE4g`c!zL`|4JKR0cn^Iog63W$?F<i#Dc6nawks|ZZAUDV%F
zqO5%GZNhr&hO=Po9=t4BxPvtI-$t+bvm3Gv7+=D3+M+TjuQQF0q*K>-vCA7jRMvh}
z{M2)I4X^<tXS}kT&xDhu087Au9v7i=Z`s~sWY4x{TU1R$jsW8ashB-9JLt^-vY=JN
zSaNYC(Y=RC#pig~y-A3n7EF)}OiKXVD8Z6d-!a=xlnrpMD|;D!+}`$+s{K}8KO&hs
z`$rOTNO@d&gc%z2rh%3$?_vAN?$A=CFkMTA7kip9x(wi-{0NzD^}rN!a!g242ql7v
z%kI-#5NIvUbK30p_Xo|JK>3$>#R#87x#$dWQPf~uPSoensas;EeR`tY4z66aDmJ4D
z(talq6jTIcKa@eJ3SD-)OOB>#1eLCO;`VhvZqz;S7j|Wj>}sunO{2F7fU5ldQ?ir~
zLal28i?mZ6MRs8k5S{^QEq@*P_f~cdz-O0$a5_N-`jHAT-X#Ykmv7g9%kC+-6+Xh1
zetwsCAvovC8WFYuj!=d)P37vlVx2FRZ}S1Ee5-7f<>R_kB>Z!3bB~HUc8QCVsKsEJ
zds;<MR=7rTlWy?bmt?s>iEtLqj^LBW_lziow6{QNu6^dW|I=-ofrXtEoviYxaK}QW
zocJ#125b8*J*~0_&3skDI}sIcXNQ`ReX|;sl_fYD4Iu3DtW=hDAF<eOKpQWX=YFb^
z;?nI+WcYv`M>;?UU3BCwKM4`K<DcbBo`Z$+&)&96wZleo2@!|_a}f~>bp#KKPrSR(
zJEZ}<UQys8w~4L>#9IBcZDmu_!~g-FXKzreQgfpLlAs|(bUzWhzM~HEQ@Pl~b>~CI
z2U?|#gJ+VTV0*^u7rLfns&6?Z9OkM|)fb-wnfu^{JfSY~mab~UGVQJI^V@phmc#VI
zF6fs0Nhm9sW}U5Je(yFvd+GDN>lrH@Wdz?afgl({%q@lBe>3P!(JoCS(T+;KY9APa
zN<jeABE*~u^NEMI!n$a^bP@Dt+IHuWW2?7{@Dsw(rul7Tbzs){FX^Qv5EnL*IIUw-
zwu=}s9@#%BllrpNzG(-knBq@wEF&VbB-Xb2lQu~82R%SIkkp#5rxyRl=*TR<$QJIx
z8Jm2mK!GFO5GzB!0~2*Vt~*{ar6*+Gv`_a6Tq)K>pD-3lDKDT4`sOaw?#xG#NeRuG
z4oy%BcqAs-Jg@tfHLCgtAGw9zoj=lIV%!KJj{lNT*Xx_6xi1m%BM!zlz%y|cU>3ZW
z)Uy^u-Wa#}In(WOG--iLMU$(lud%3fgM9Nw9aHkxCY`jF>V-nmU5A7CJ<1(Ye~hw3
z6$lxNAp&-FTv5Nu3XQ4J5j2hXz)gY&zo-GI6dnND+mM&?|G5}x*KmXEh&HzHt4EDC
zaNaZ<>8Vz1uK=FDwQMz9TDx~E+zzmG)B~wSEF=UKTmGr&XLMx{aC2k0d4{Z``LoGS
z>4;UT53PKwvru4_!g&<<{)*Ag8HncVkYK%m;2%twe0+JWw`AO?(}Cn%*`VDuh)euN
zF$nYNP(7qzlDfd#fZ-`YHfJFFJGG$#JYik>ZdWF=;r%j#*T8)=q(l695Z=SV%NCa}
z^Ho-G$6i87>Ns?Va709*@)ZTgJ%n6&zn?E}qEHp7&9-g^DCU+&bg;4TVGu7}QO{X+
ztU%V46K|A#eZ*#Frui;3_9-U7vtW<iES<6kTOVm<d4bn{5H-|g(hkw*re9RK8KER4
z%EA8J_Mie)dXWbj<7m&>47#BHve{#<ZfU?pafPfhFU7L~rJE4rYqzs6gfHh`L@ZS_
z%~Hu3!O`t2_R0Qf9q2olW!9+2bap$-LR_Fq%=wQ(qoOLjb@dR-y>(>^Xp`!jynyT2
z0;|2Sx$qDB-d~K$uQ&f+=)Ghk>pAiBp<mCi@I%@;0baI+>f_gcli0QWC%OIWz3qy>
z(!{U#UT^rBfq%V4HGK6aX#e$|yXcPpbGcumvGBwHQ)8$6pG}b52{DU}4z`OEZkO;S
z#JhK<`tDW`XR`XMfFfYts);^yg@jQOm(#m%X_u&JThKZUWU0SRQm<yYbrbx05$X}f
z`Po4?!|&fdk}x>R1p1Q`#34PQf4{&hKwLDE2v8N~?>C`Z+bUu!Gd=Ujn=79!1(XhN
zKgG{6ta%8OhO*?^pT<YrBAa-bI6ae~xdx%)56*q>9JPBLu!EQtR2y^=xN1MR4+mV8
zcn5$p1U{Yw$rF9{eT}KxkZ`^4iaAMvy^rN}L^)AA)O~p5)0@uHZEltM?;%!pdU2$9
z64Cq?f^hk;?5R>D%WVkK_C&>1Yn-1OoG-byNiX;1BqTr9XW;MoSt#u0BCEA(6|`qJ
z+Lbr2?yHR0pQ&OIBCT|kMrR25zk~>-C<fW<vXLwXbH^IA4U-;adzIhMST5;|D$*Ls
z`hgj%HrxjCqhH$&5Q;BOz`CP|sO4LjhP4TKKZ69zZP!X>OsRgO+9>&9;pLtYWS%IF
z*vv5y%%xW#OtDk~lvTvd61O4r_u%ZPrQ6cZ$=;Ufsfsj2vWUBrf&{V;DJ_RT;64&Y
z+_}z~k!o&176TMo8-JKe3za)_Sbu&A6_xu8&_zr_GT{=z6LIIj-?UdFZM&c7@M}`Y
zfssu-1%h+vN&9TdTL@<i`)!OM9A>K6L8P7~J|J~reUuTopoY}VbjX#JXjlAn-I8Bz
zI#A5tIOsCfbw3r@pajme9wP7`pQ=!YP0zv^ENZbH2OFCwf#5`BKu-0C(#Q$Ksb-)}
zED!kH-lRDqHJe0OOQkm+-`^eFbS~*p#yN^cnYiTlXfBZ#E?}mnbLr!?{gJ)IsEcYd
zqVC{G8S(powR5|H1pqGijZixyYJFF-CIHi)T<VPrH2{j_NUx$6dKXZ?85XH$n^EJe
z?9qOF_U1U{tCADaZllxS*UPvMCJV*NyJ81AhfyyQf=xR9c%;FjtOl=Q?@gs}b%ZXX
zT@8-4)Bdj8+$7QE>!O#q?hUI5{3?s$r1SDBE{%`Q(0WNF26eEB8Iz%w`@Ya^o;Z+_
z!PC+I<)8zWs92AJCNZ;?6#aYSk)I%u+>XjlcuakWuj3Yx<e>^wO}W4_!OInXbu~-(
zMMz+@DYJv~b5=z0wuZ%KBZJB}ZP|4%!EewLBeP?rsxD2RQXugKgZWVXl4UeY_!9y(
zLz}+xlrm<P&jkf|qFj4){+VH^pLNF#)|8Bcly6rTVE<)z#v2lo_|!2*pik51FNtW#
zXHw+@l*mi{=j%AIG$tx3nChY73hqq|G&k8W`<YcD9981;Gd|NKDs)`|ZV;v})M%q@
z>x4o~-s2)OY^Msj{**6M2nQME&#tegry<2$`ou)aldp1(l%%gz@RFwLx8&z=c6O}M
zU!E(E#U74@CKQk{(4v&-6(WRrVr@t?u|Vw@(#@6o;c_liFhlT>#tj$k_z>`DQZ3S6
zEKAZci8GxrA#0Bl+{?8QD4a5ld&zSv@&3N_l&+B?Rg67+|AkLRDwe3|UMJ`vG#LgR
z6QnRUA;u=~?<$Aazk#JdzMuhSmyiYvh@THzj)_9buEDI+Rtdq8Ps|V@4HU~5^SRr<
zHHAbM2$<Hg#M;2?`X={{LdBUDp?NUIHRp7>%TSb2w)}XDs=6*MK$#7tZaqc&i-08e
z+?@gmhCU>m$55)o;*6F(B;~5yH+}a(fbG%?7jqhy>#w>akW^$wbnc-RVvg@D_1FJ6
z1CnYz^x_t|Y0CY~`Tq_IqTdbV^`Ovq!hYss7lQn;8S^M*JOM+pPr0fP?uLD+g{bXX
z7hw(ArDuk5PVbTSW2A?CVV2(b71cBwC#Q}n#j*Q*{+HZA?m74glbGYtLx*0lSB&-6
zv3jhg&nUMc>No6e<{{noEvE65dNxYouIPS}PKY>2_y|AZ`#1<X_B-LXQQI0fRKqN)
z)RA?+Fk})jPre`<5Sh+tE;+Nx3vy}7`MHaQ)4D{G=NO>u`R{K3zr$yZ$d{V&4%JR4
zp)FAl6*Tojn6!p#jYO6R<wA8`JJl|4LgBV#TQERNKE8yDsL#YS77I2n9WkdEH^qdR
zq%hJ^bEEO3@b;$Gd#!>XB3Ceu6k7s=srS=yV&{feL)oAWCHRGF7vS7Hx8>51_E=xN
ze7g`CqJX@YoaMh|*kCPy`3~aPg6NX`_#F`}ptSk`iVIQm$z0xm>`1dy+RrCc&vB0j
zHN!1sxA-Vm$1jERa}F0uJ=Sc^FXu&(Az!hp6!OJ3%%9wmomIk}KBI-1H<#M*gJFSI
zmGv@<aQujv>%gT>t~|7r<k=~$2rk|HA_!cwNf*Ejd0}@aH4WpNOi4h~^rfuJ!~?%?
z9*N`pppwC(gn9^p@)P3N8@_b?=s>HGm|W-mpyOVE9Ab(2M9v`;Fa|+U6w_)AV%tPV
zXvGbg!@Dg}S{bD3!vf6%q$51=xUTlw^{%_K16FR{V7#6d336kP(^j>C-6{6CLU=Ok
zuX#OZMD@t{eVBjyeO~`(-GDdBbqTFZ)L-JMTDhuX&S_BV@!9pn+l+Z!0)k;|vZoea
zAVXqkv?eYkm<f1OE<&{+)+)Kx{kcF^21IHHJy1l*AW|vcu-Hlh<KM5jkHKJ<0;0sA
zg6R6hDdtm3QPO9k`bJn6tn1|FB;u4Xn{WfqttX*90t>zdWNW=;Cib#50vwSxV_^4G
z)`iPVcPL(bc2DOpSy@DCfXC!X%gFq{N7g<%KL<?UkNA{){+V`;WiRD<jTC>+BuYC#
zFK!@eC1}%gSuGFYlLAw~L`q31@WiqCP8jq~ctI+2XRw#nLCCgGhS@x>&kDSVFDaiv
zwvHx^l;yGBy<~807$ut@R{J9r7s}WDUSGH~h97isB+rvxBgIe*mYfbu#hY_kIe>!v
zjHd~;0%}AGuqihG$>$hvgD*|#^r7tt;~nrt`3D^r*#lmTFR>1ESuSkH9Z=Z3kOJrW
zS}++Mux7Jmzei*We?J{a_z%m1p%S8}nB!klakJ!fsmHL=WWTei5Qf>V18Uy!MoMp)
ziu7OD(2}%b3(^~zhV3~i3#NZHO-oeQ-ayI0nuVZ|TnWEQYzb_NFp{1d?W^aY-kh+S
z31+{~&6z!^RTu*<>KvkY)Wt$DHDx<Y8f*}dcuv2(N^B~fxJj~1#WH5&+bQl<uoxAN
z$z`*yKqei9^Rrf~83Z|r9UaQtvC>;h4-@W?$WX<HmT%qY%OJ#+?F-Cu;OX+hEQ~}6
zJgMQ&O52I!R>!e7t|neF%BQ3mxS#(#%fmY4p5%547VP5qeIF`Os~%M<0`A@ftD9RT
za)8Z_6}-e88LRe4OIh<WGwBcm*mkxZd@n}iDW85fke;Sbp?)%Vijc`B&L%KA%%M<<
zm`Gz81v3ngcuf4W91(87$erA7lk%KEoBeZ8#WD$b+d{b?mF52fCh9|%(lJ8brN4gE
zcA!OoaL(Uh2d?|(PE-ic!L%?VN}D59(`OM(LBabWhlu-|Y~LM6Jc_`YhN{9>zv4E6
z##+*5^*Xl-av)(^Z<>Yb+H0ooSPvT%mmo_AVULh*g4tP^hY-t)00i%*P+0MVHH%XL
z*9vnsF3}G;=NgjfaY>B=*i5Zal1L$P#K1j5imWCqXG(_vw5<n?yw-4Ml>olb&=S**
z58}FOR!ai5qA0xF#K7y*Pi%rW<v|-Czp~9W3EKVBO@#vIKRh43o00-avxJCD2&!5G
z6xu#IW5Z8l09m5JNrY1(UODAvj+9(x2-CT$%XZJebanjICN*Qyf`l(Vs#=5XL1JXa
zO3T-AETgAE*KkBAmgu~j73qn%Ah-IW%-0ckayAo2YI3Bf6bv*IK-r}mF075Dm#f~H
zLenZuE`s~z^|0u!1B<3-oLAz@5dY$jFrxqK*w#qWPed)HR-q+ra3#i=8-~1Lh>nDO
zRugVdR81niG-|^0h$}_-jFN#9antLZfALp3TAYreSIhvVjV~d>NqIukj}9toQ(?;P
zR54x@Q*5#__POh~pr9aP6@5-C)+8_{G2Y$pz|h=CG>G*TEYJOdhK8M+psxgZh-@TE
zuHq31*M8Isoas-OtQFmte{oRnOBN#6-XD0F)WjcNT;XG)B;2l@zi%6fye+7W!j^Am
zxdV30oa&G@Axc#x5it3<o}kKleGPqNyV2fM_;QkTYC%%eG>^peKPeg~v^P!aBV<X^
zNI{dDnygFaGGXQ7<#rCHBl-|Xo_Y-yCR!#a%#>A0+gfKvTv%Q0(ti+j%&v`~4zWfY
zj!P}32Liic0lSHHoC_hycj;+sJ|P!YqFu!Ml-H9Ulf9KY>ehMflD~CSl?SWMr-C#P
zDZihCr@I997d2rw5W&R+JefxVE7EHBn7|bIRc>0Rd5kc;adsrSZ*O0`9#jzrc-e){
z{u>RC0bGTKFfh@FSU}#B>P9;&BkndyltfjZ7HxQne6}7CEU!hd8}zBL%qZKfd{+-#
zC2>=z3%8@HB_UoeS;%SpOGq|0P1^~5eN{>Y9WeMmV}<Zsk?;<2iV+~EGPezTj<+*|
zXf$5?pfZv|JOVkJ2bPa|OGNNls{-igNG*g?F5uL9%!Xx`Y>=u8;h5|dntnmccbDQU
zQrW4Dj2qSK1<62mEru|8Eol7XWzT`aEDV*Tu2Gf#pz|e?3_5v;*rco+C~*w{h=a8M
z@oRiU>9t4o0Cv-9;tJQS?}hUvI24#MuIZFNaVel7D!(=#)-g|{tk6p?Gv9|e9*HB(
z(4-1jy?6dO<h1`o9`NA-FQKzlUDFb*3VqH5`e&R%x&zl;C301h83K%z4sa6v*hC3>
zN(qHeR5@hA{3c$aN-;v5;K3mKv=EO7Nm$A?#B)a492~zOK$6yDTT3;8Y+@0zvjmAm
zF;C16<aYX*o;~6qbD5C>Y*O10d6mHssAi|5xGF_J^m;muL?8wCseJM@sVy&AP+YO?
zWIzL|f1gGPT3%FPBr%sKKgAm3i5(|Q2+bAdz!6!ES3tJBeIrDtLaZ%@ptG6CL1<j&
zrQ_CPMC0+1(f&qmB6cOeKcZPBt?2+bQM>bIK_iQB48TzhqRv@R{97)QB)nPp{HX${
zmJ~Pmbnb9DM{Gd^YIal4*H&AR-O1MUY59z;a^ui?)T6e<YErBh4l-j4T}FmIS^d%M
zi-YkKC{X<9Nx5k~N!pm;Yrf5t6br;`4X1{*u^>c{Q8sz$t#&Gm=b!(f%tX3);N9q2
z+0zfI3o^-tk^x52IE#?I(P;oKQ!gS<qJqzPnFY=zwdjM-F~Me*>?Q+mpHeb_RFer(
zl9alI@*9H46tSz5+pe0%64Z`GE>?~tGK4iswNUw1V#kD{7TZKggD8VU=yS5Lv!zgj
zsBK{(miXJk)&^S`d5vBNd<Px4jo3PF*l|7k-r+M%l7PGOFCRYnQnriO)I@78#^Q>|
zY(9wQx=w_8pFTPoBBPx}6KdXLH_Sx|qN%!Y)VoIbb6ESwEusIAY?0nb{N&kr$fnXH
z?n9b8-l!xC4kVO#@-vwz<$V{!qWF89%sa*}!16QqppqBiAW0Wm!f^_BhDSAoe6uHX
zJpNcX9ZD64^hSzi2<a@t@&d-wpZFe<#Im84mm+g)LVIOW8y$Hb75hcmB|;OTU?;jm
z<zM{)2mXmq16El6@FrOmK|73ECZ+Ni<y49I+>k$Msj9FLWiU@WM4$ojg9cYb%zYsq
zMD)a@o}VMtBRqi7ZwKz8`HZwHOX7*;RNXM)3QKs2Ywv_V1vL-f_`TfT9#7<R(v0c@
z{}Xu<5IkGelAgkh+63^{iO50RG$q)p3?Y*6vvv|c{2xn}5kFNYL^NNBqN(=LM~3gN
zB`tlV`5gU9H6&FkLhbP)=<nJHL32oe7Fn(0*oDL(*89$A!%J&o%%Vs;#$<#f?39&M
z@T$2&ep`4Y<{(JKANqp;8Gpn$(z{HXX;OXMzbi_N_1;ndRzD!hV&vUz#6J23p@Zx(
z!b*1qp_w~wa0C!v@d{I*At(|gUmv2wIkFfND~E?1i!}JNIwjw(&rRu_=dK?!GDHmX
zCk)@U5d!FDuvEG0o&~1)gMBPQ`55VOLm^ynFXC9}`%d7eBGg==%dW5-qMx*Hr|e$N
zMQM@p9IrPl2BSY7&PeL_iiz^x|2e4R|MpW!RNtXzmUKaRf`8aYOn@-xKK#6cvR~p<
zC`+=Xd|^3~e^e|<umk2kxNI%cOwtI-Ef)e!X$85+e~z|27o73ym<PP!5Do2~18tck
z*5zW0a~LU*4@&ed0yzmUaTI}mM;3`WBo#*ZQJ}Gg7^Q+tYW^uzl0OZ3i$axh$O5?O
zV2w{;fcyya9p6deZsg*n_ViQkpL`hka5>;46D%(3==sOTiRA=N@orlR*Dle!Xu&3Q
z5FiON^l~+=Pw+h6Akfvs@W+Lve_yc@0_Q>AmVnqPtmP$)4XDwr`xz+x@d0AL$5pEO
zBIxdnMCOpIm>ElT^CkFY;i4J8x{=AfMsJy{i<;XAYNlGQf?%s5f47;P3m@fW{ar4M
zzB5TWA)y6`t80CNz~fH}*PkE#pR0<%_S6BSsbv~Qn3%5!y%D|?hnt4L;#+-7>_NmS
zg<I|BcDn(b!@Y1(wd0GQ-yR9L6f5CbEiVcDoj?z-n{SiHa1UHOxt~ar2fU_@xG0{;
z2QDVIg^PMEdMI~c*r+=YT6KFBBGAA%1bQ)?LK7!Q{GLImWFk?)T7%;X6=nd%Knxbe
za0s2Fn4qFBFPhU+d1Q5vRTbhPNqV**uk&P5Rurwo?~g=PXoCkYM#+|2o92o7wTNI^
zKFUhm|DT*r9*~w)RfIK4<>#bqAE4xSU&yMHShMKaqcun;pAKZfT~$?tP61Eh4<KE;
znye`azeRT%eUx-+k*KS0s!_CU?%VZCaEMnj<C9cf?!PB5Dz!dxk_-IFj&Y~glY?AD
zftJtEkWZF}E&gOL>Un=Of7pbaUJq3$xtVa!?lwO*_uZ}JPZnNEb_CK|qf`jJ^c1;<
zq8qN4X1rNvO?fmsFl3a`Sople9Km?xOc{=$DZ=D_j`jE3q<3k@kFDt57ZaU;SIqL?
zwxh(H%pAQV4V^Vuwh)a6sLk&>d<qkWvC>9_QV=Bc{f=L$loHcC2?Qi+DCSQTdxJRq
zZl5Oiz_xSIs$jFzAX*h8p|x)q6Yr^qBqOXoXDDh<`TvX{2WJP)rSJ*2%s0gtlIA|p
zF>MM289hJu>$nv1HP6pomn1lrV8~#NGw|EWykds9b|#xV*eQX<lc?~Lxe63BWxc;*
zrnEtV>wF_jt`r;?{r7MK(a}&Nd>z)$F|FH;V^VbQ{RlCbm*F%V3-cW$+O2uwPp-Ky
zyCH}gako6plR!L6$VqrA?E3i|@LYYeH7A!<QvKU&yVWi?VP~kOYNPwedw6Z{ah&+N
z^*W=CXBei9-9m$M><?jj(A>!FDL*In4J1%hT{>lURh9l{cI%aul-7YD(~f{QX4frE
z9P6^hy%F#;!Vh;uMV0vHqSz7apizXfd_CB^KK574?_rn9q`+uRw#o<lRCYtqn5<6)
zZ@-nn;<55I-=8a~yyErEot>ao_YMtK;!fDjG$?*6vaf+hHff(he-uR~$6+Ou<5ng&
zlN;W?Z3P~>K1Fw0z3}*9W&+?>GW^8tDsS7vFq2(JG>R}6nHW9L>0Qp0Lm&dI&Z+z^
z6;mbT6DT+ja=1g$ZR+F=V{$GI$TWX)2ur*nSrP8eEWbxzcbm1|M2YM~7m6O-oT#Ha
zU|F=I&>E+9En2|=L1~`AlS1T>51I->2NDqjN7ED@pyZWZi!^hIs+Y`Pp&$^>6Qc+?
z{vm}7wgk`Oi`J!i5*sWkBV~gyVq(G>J?l^q+&w^Um#T1)x5Rzr3U6U(I_mUvL+}`O
zEv%a6MWJeY4<X^!ij6AGd|d0smJZ4OLJZ8RLs*PI*IC%2zleVMl9}+cq-Ro&lMmHy
zliU1kCjxPKZxgwT=!`}CNa7kcFlxymP-(7+MoX5jsa*IV@Be&|9X4NtHBLX&o)|PV
zlY#jtBrNZRg)m{hXgrkmykv%z*{yicb>fMtha@@mXa81;NTRZPQIJUBKfRumU&La&
z>sHwQ3unF{a}L2Y-n}p^nv3^y?KMdv!|u8@iJ}{c0aBId!lEc&oIgV3pz(Ad+55oa
zUQomfhn^?$6f4gB30~M_l8dTaiMZ9?B*b^XR<3QVQ3QSJ=Fbl<9+0>--sH3)j4}Wk
zDNhW)eR%Qn0XHt%hbmfxlSjtoBb(+CFQ)+*jGrG}y7;40X`a9?f`q0s2t!$mKuFH@
zI$laik9mueo?I$O0&=8)B$m4z=Lo!vQsiKd&;Q<AxO^AF8=3co*YIx64$u?+U;@u$
zy2-&vKd;QZXg3wC@+OMH4P$WgcQAQKtUs^#tJ#5a&0#szcEtVe112oBi1*|J1=&~3
z#DB67lm6?A`SE#P&KUG0Qp}?oXJC3yhZACjH~DYTa*Om)3B5$HVU)OvDT^=SrJRt(
zOk}-<8F5(r`S;f)zW_%it@hpwhHBxtx(_V^6b_GoG>1^D#+_cbD-0BXqYEm;g+~is
z482rtq<NyM-VaJo#~^IQhTZp1uP40Q!Uo}7yz}G|fU6;avqBbAF$hC5X#DB*Fh}by
z+=%fn|0`u2RM|N@Le%wckXTs63qo4{6*KGuAq$VDxi|!cto9~#w>;+v)-i4aOjXs7
z+c;&n_%_N-aSlxZOj1OP4bk|7l2`E+Gf38;A6I_f_di#D3(<rq%M|}_dL=4p1hOuQ
zG%)<nqQ#TwtWg9e8)JdG6*oc7bXa(}xW&PZ{Skyj%Hauc^<XeiG)u$ML(c1a{o}T`
zYcCD~!)QBYv?>^qA{8^4LHI-#uHC%&hO<_B6IuZK4k?14(*X40!t@!*Et=|jDJ+;6
zoby83|7a?lk-2_bYbO@(<}3^_GC8ga#sF8vQ8)`%P5#yPN13-oaw0$pISQo-r8dGh
z4;)YnOI>Yo1zmrFG$TN5@qruTK@sn(>uWI;yN})Z8G2+F1<ZBzVw{8);!3Z?lpw5u
zhU{4gfQ*ZS1hFyTQrRu%lJH<4dTQe2H=X_=@d+>fs1usHJ)sy#!XGXd;Z2TBqxL5K
zp;=Mf<bl}z7R|Az1`{2z&ZQtoK{EZc8Xs|AxoCE&=G^vbXDi_Ak>6>0x=2eNww<;H
z#X&*)>nu6SaLpV>qZviN#5fcbIZOij8ls{72AI#9cLX#9oLsaLqOYcT!ts+_lt&MZ
zZwnm{1oROCOeCr{eoEmeZzWU@4uw*$+C4?isDdEVlPpg8F3SJ8>u7<>!V)IUc_a)O
zRIFwa6{hySgxVw)?s3a?q*;pe=%WKt+(j1zJ@GZiHU_5blCJ$)jcx_Gh~5xg`L}5D
zCG82|b9#p==Bqw6k|<8BRnVSsD#LfCllaEhyAG{aef_y6wi8cQt?B0W{nfTb)2gb4
z4&l)2k`OwRn|O&Won$v46f6##gHq+vFuDvszaHg}dz<ZRERK}#W3fvLidwQ0&A$^#
zjU839Gg?s5y_g6X?}E!WSSyg3qNx9PYNdKOv$TegjmaJ(zQ*EP^ze8Mr+H$jescCP
zVqJ0ZHk?$cevlTq=Leybt5iI{UMu&BeLr!m*WbMw^@<p~*TJ$iRZj%FQGpe=$kkns
zDJ_kIWD$N8>R%;jg#8z#3p)x!?uka`P3+!3xN!I!m3w)2D1xJu4_kI6)U0QsoH6ip
z?ccU@JvsOiU?^qXpF^$NJ)y+hPFb0abHMlmcJ4=R(K5&byGMJN#g$>Va-r*NgdZt?
z*zZLDE!PctmH#(mnnYFx_(txv-kTvxr5lsuhseQTWQV_GF6TLQ3PFwsxtN?^;fRC#
z7-j!HN<(+3{^nK38D}?nvKhNytjEsLcO{ljvA}+OlTygvUI~W-#mzZkJI)*r+*r>t
zCMbJs)?!N!j{ed=GfPHc;nn30Yo!S=H96PFJPe#R%Q#{nKPPi@?(y-!wCixJn_k=J
z*<}a$?d5hhK~a|dxTldM(spHfw!&%&OJHNyh-R!5btX!EiTCR_9=bt<U)saWKhEy4
zY-=HS`{%2^7G&=eQBDI;g~hif0kyEMQAz<q%aL=-9w>wjCvErak~z#A_+~yWKajg?
zX8%zGbQTomtC7dOx4v+70CYM@EQjY^fT2pJE4-qQ5=5EaqbSnL@}ubf@qH?0s0TEe
z=*W3f*fj94lJkf>B#A2~F_UHVBPwbiBE&+ns%`9&xy&5R+}Mr%P}iA5Oste6B_+el
zZq8h!*?#k?JgzDMaCIm>Ft`#NZSwhplUID9#)Jv{d_JW77PHpu0jyMHl#K_rZG$9%
zUy$O}y!VHrr)YSeXOw=B@At9?&aXF-qpFZs;!3Ln13ZZxf?br^0VX8NYko*q?tNf`
zilL}q_YxzAb4j1RXG{U!KfWzM0}k9<*CipwWjDzZmsF?wk~N+HACKg&Ns<%BuvxMX
zvlYP!%Heoci7PNI$S9Jvlv@A_nZwzl>QwN}-j^@`c@ZUoyUpoR@#47`#W<fq?Mo#&
zW9<xylnbv9n*g11L^(T<e7Wr{NvDf23Qlr#*PGTfPtwhdJ$7pw>4(LRP#H~&KH)4F
zNVaZ8^&=b<V0yL)I^70Lz9pEo-PFOjuzSXKw#&3|crcKr1KO%V6#3~mUgZwY&#%R2
z+BI-G6N1eQp0Bv78mM#=+<<@<*xgDGd-knxzrFAD%V8zYF0nUv#h%1m|I5J;%cHmF
zQ)u-S7M9&Be7^4&rZ_!c9@cikg<s#D4>$UYvS2c8!0CihxSt>2=uSiI2}6JcM<J`!
zp1;<ydh@<h4wOzhjyF10w|P3%@2v}BRrG^NRt*m+C;L+E8M=o?Wk_tL_QrQHJ6J$D
zkz9*F;x38@)DOe%CC5i`RLTu655NI!^M={~Js=e?paD*9O*ba(SMc@uzzg)?@FyEQ
z1kt;?U#u(RF{z4JNxw?PM0RsUb<_*eoGR7`E0O+R(kzE)u3gKX$MwFM%_-j0pTv=4
zA#?ZIt;mTlFg7g7TsY8<d}G>5w0C{Pa%2g(Ck&d#oSff9+OUJCor!-L64v$2=(8p#
zeC|FTu^Ew$W5V^HFXWt!-=Fd<*aXTkVCW`EP))k^5Z{sTX{qEl4&u5>=c5ekp8uZF
zeYFK#TotdF15bH$;Beg(oy*L(xODF<Q$Z7mtng79nwt?zh82gKkKLs$Bd2b~y;zT(
zdxLTgfS(4Ajfo+aV=)C>(ndjPX@v_aFCOSzv}f+aS(T0=IsEsp<D}SzG>#&9sQ>LP
zBWTY$ul9s<BQ0$)+2~j*#Ci|y`1RAv>{}Rlh`c95Iuc3K5<frl3jeb()`H1Z8Qq82
z#b$DuS>r3zS9W_rVh8w|$&XXzZj0ERQ?tW4ZIem*+!#AC3_;6EFPr%{%Uq)<w5JNc
z+j0C5P#Cz+6N>DCH6ov*H}e=24Ud4nI&Gd_Oc!T4fe56-wE89^?9|+`>z7O#!6VM&
z{QVnl2t8;-PWF&u`M4f4ko0*6_NfxQEdg3c^~8wEQ7J_vBT(yX6Pi<?Yv^HTgc*z&
z>qyQB1OMt?{;;anVgF#=ARmdt?r5QnBs9^a8L_((voDdfZo}RM*De?3c!&BDM2t?P
zbZw^9JUB_khJibv5LzDtDXtt@pr!>blVXvkVIsyEFD61A8ly;kNLV@2+fI9i5{Qt(
zD>#3P{mCA99BH&5@^KXcuVC9ACYEb*+!w+I|GY#);8SMO!Q_9GoD+<R?M)}zB2suI
zJ0dR=&BjB0lxf(Fvq)I@ezV&KEFpGu&|O^A9x{G_9bp%v6>t{P9x<}1$k{5sf-P*+
zzD+Qr#Ny<<Gbq|gSIzbk7+gpL)=EC2GLsJ6<7Yk-369vSlSGK|^2k~-+sRZ0fO+Dy
zy<YPNl~NdI!hW$HmnoOscyubIn!v&hz;n^(?qJLbb|n)?=rse_cxc5~qVL>3aM6-r
zHZj5hL8kXz(`xTSEo8avSl=V%npX(wgwI(=b`MtRqkS9DG^q17QI&(0FZk*SmeM|%
zk~>L5e^Mz~d#yb8sX(!?n)2}Mcf{lILxM=)c2Aad<mjQ^n?PzR9wv3Sc?@IJyt9Yq
z{Ig<Ap9&aUxkYVog^oJLu2Tezn^MgY{M`o}d7yGZR-y=Giq@Ab996{A)A`$kC7gr&
zwviNkl!rnYaT}%?$+at@H7@jLE9je4YHy74jl9cbXIAesrp@m;rrqE_cBkI|<sAWn
ztR(*0uu=I9MxXnb^UNc1)RG`vgDdHOLM)7(gzDedNoh+wf7na(=*lO`P_jyefOhF+
z4IE83vWeR_m9<L2UrS(BjPA&?^r1V{vAP%Tk<x$`hvNxMfYqaQngg_|oYWxmvG5vh
zh9{RC?r17}bokE9mhJldmTiI$Qe!GR;v{(t%D;@R+k%Hxvc@17iqDRoB*qes2pp|I
zaS77$QYQDu#oV3Ad1(ZtIfJ<7!4W<hkI$l2W<|6Losb6Kli|V@z8Zy+SDG%p@krOp
zoKn`v^mu|lRq`VjCtW0P(4D$Af)hZD$N@lyOMY9t-{#XVZu_9hH2(CvoAi>a>jEVV
zJWr=>J)kGsr*Pn@bqC8<%R6U!#>d}>e{6j)&wniZ@i9w}Ab!&ek-8??ew_nNFE$T8
z{q`rrzGdbTn=^&}d^{oCGcS`faO`ComFysWRP{(i>31>d!O1D7(dRcSr&Y5VHgEQX
zv4Yz7NV0z6K}Sc&K)<Eu53}RggzOlv&bjX|YCNf@TRbe|iY2Y(28u2fe>i*eO%dB3
zUNT_&YFA5cOv5oVeQBle5_a%ZQy9h{0~IjPxei|M$!crQl$4bFJOA*x{V?;BWX0c+
zNmkppa(^{r$oJ*o@(PMqD>AK{8$5f|TKU}7yGS3=Y4l!fN`xR!)=2LN=!An^i|8LW
zjDEZN>)pM!BFH&(2ue4mrlvlB`Jx~~^E`nqF@+&yWPFXE)EA4b`M%tHyl`^57hhju
zOv<^J38LGu&hG8os2oiUOs|*-2Yc|7=E5=||74W?vt+peVtzW#h&yX$CNHw)c>??1
zy}q|<%VOW#D7uO0HP!RlCUJ55@|ma<)7ypcJWRHI8%3f>`(`gTiKkDW4prbNw1Cdy
z;^Ltie^>sSBv<`>$@ca3-hf75QXayAj*P8(tD{dTMA@CNm8!XY(By)NzUb4*=l@!a
zcMS_?rts?VSeyu^^S8iB5$-z1Y%x^CoO5JVPT|1X`EP3tfy5UL%4V}Lh20nwLH;%A
zz@ne~`$w3m{xUf{@a40@x5<lwc5B+0oUHXDMC@w+JzMnQ(oyyhxqU#F683x>mEAFo
ziLaOnvGhwtDQ#ds?)kZfnW^awSc<9J?%cUkKqYa=j62EK{9mDf8)Ht|*DZs}<vM)m
zL#(BARTa3lh1&AtUXu;kVxE6_|MURqd_Ll*2+P}h*hpCeDcSJHbx%DW8yhQzecZ6S
zJR}|Nf!9X7a?4k~f81+V6IA|ehe!6;IgMvo)}IAqGdQd6Xwt?jruta#l9ZK3jC{S)
zgL!2o@s%%GvgA7BeAN7io0O@kDRbD*fyTd56_6}EN_N1ryP>VE&1>0rfe^mqUL~AX
zMpkAM{|-D19WUiDQ7K6}qb_Yx{QbTmmNZMb($PQGNHSJ|^b=jQGNg{EtE(rYFYN60
zn0xmQl~GCmtIf05B)@m7OzEm8cdlFVC6;%nW+ryx<h+>sxoo{>aSMi3xSRu&+YUH^
zM7q9*zaM=djM{EP*>Agk--+?BZ49KABxw_idE=_{8-v(6VxJ~3vmR(^t=;ORJzf&T
zu%*K%Kk-uim%iIN2f2DlfHN$?<?~>}T;nu@BW0LIIDdQmou^No+TPdSe|;HqwpDwI
ziu>urNC6=&n}SDQ=WLT(YWQu##qva}!c=Jia5ol9KD-}`0q|izvi`4_r%%O*x95mo
zXlQ6@)Ld`W?%${G!_hgvQ8W`WaHu7FW@igZ{>d1tGFDm8XKr$`=if)pI!7W@)oFVw
z6aC6p#L1Ro+is@Cd=;g-jwOBm{8_l``*QK`FA|cI6<B^t0MFA~(ha3av4Y&Y3G=#g
zsqmV(xVRdv6Oo~9cH?V`GF!J87H5~-*5>2U6Em@?j6A{gP=%c`&^s{_{}4m!|G$wa
zjY&=A#wy_BUzcuD&D8xzL^OS7kCgPrZae=l&nCw-!_R`o9l75l_Xl-iDJ!3dXrFJx
zwm6MQK}8fba@g70{jQ+SNr!rX%<uUiwC>$I#)?pG{}2v!DHD_UmsC=(zu#%DQI@a}
zv>z>r?Vl*F3tv-|bVju_$wXax@=~ZOhWY;@>$~Hr?En8S33r7OMVY0jBs+U_D-x0-
zdqicE6|zp_&OVevGKvrxAtT!zj+U7{b7W*?WRKtLed_+?e1GR3J?_VS&UIby>-~Ps
z=kxh``%y=fs{e78*R`v{ccuL|y|xYqARwVC&U4P_;i<nVgG=x^(Rb4Gz-mU=$+Ga}
zi`PIMw)(9zkMhKe9MYy`6Hz3U$A16Hp%by^3D7SzgJ}@(ym2px*kFd0$oB+Zu@l=n
z6r>n`dg}YxJM%;mreZ`Thg#HvwT?X|o!cuyn~}*1X3Hxp=ExR;$FsDxojZpG=X}`5
z`%j<UMm)QEtYX3YZ^Qw&AvL_n*s;VHg|)*6AjWN>J+tX)1c!=>i_Mp2zGXvM#L~fG
zVLKN5pe&%-)tf~<wlsUB+IxC#h|;kxJ<a{|_<JG864flQALE0sNHyBuKUAY;U|@hc
z&e>+wfg_`%jWQK1(OP=@?9MQ{`Y`o)Q%;Y!*66-1JzAIcD!A=)MgVL(DX<bbfzLPh
z2b6k{ZGZppFtY6|EG!KY3R{xvqM1KOb4J{D;Q_<G+s3V+YP6Y;_;WV7>QMkO4`R8i
zRAh@A91VE4YNXi!fWJ^Ro<u9$)}*wtIp5%>C;ng%iPfbUj^E#?OyBpoWcK}quq^EU
z0O8HcTH)UX337u%6>Rgo9br^Z<YVSP+@eCL)w_F1nUxj1?W{FV4eR;LfTFZ*q~o*w
z5&46h<_Qk~PFyuWqxV6Fv*nn=-Y0TnFGl<mUYHO5lR+bW-#(W&lE6Bo9w2#%hld@^
z?h(QJ2RFSJi7Q}z5pdGd(z1a^Vehe5v3uB6{Axv{pGtu#JN9vaj<>Dqecm1wWq5$?
z_sFh~?}8%6ed>er;~j}-aK|5?OG>a?{Q{THD9z|`Z2NAcX&@xmE11P&ER<pP5~^Id
zMl-SojCnpZf1cm=2mHSEPOgvYv6{@KsZH<$rIZu0j(yQRigy`?V=uC%sAZg$0+c~m
z3i+n8g}O)xA`BzLCWd3vl=MC?%EO*eLCrns<D;XNbv#HsUZ2%DSq*{$___tz*MH;y
z!deJy!L^Tj?I;GLdILvQl#iTU(Jv<EKbAH}zIWqG=gU{oVJ?SIa=;R}Y2o_)p)0iq
zQKSG4XT6P!M*H&RGoIFFO+wo{>yqnqe~iyZ>4-R53c}0Jfv5+nigjd_d%yN#w<&o0
z04;sVj$^wl?P)B^%YNs8!OoksJ?EdEJX$B6bdpDdEd@{n{e|S$mKPHht%9-)(q(Mk
zt|0d^`hm+9pO30^cG-@;1~Ed3!o4m|c3S6;w17Rhp+@%9yX@@jrU5Zg1KG{N@b{Km
zxpqSSeL_F*RXD!#3hlb4L3xUpad+2Vi~96H@i;?9Mndryhyz$SOdz5C--qdSZ*MPx
z4j+e17kt%2JY~gS(L$c~Z&CtXqN|&psFl2aCHZ~fP1Rdo^?<g|vAc;NJ_n$N#(kTY
z@rVM%Z<n)-*-3&zd3lG~X>gi?Wj8Osu{p^*mm-qwHCCxxTr7zeqb^Qw53=*%@f0G+
zj?x8FQ14_zLng+%3Is-vV8IV7AKcD&%v=5}6kAF;J+kaQy;?W4D3BGkpSR`rX84C}
zS(yCq-@lKfT9Ai6C$$|*wCxOj()jdPi!)xTp_j2Bt8<^T4G%q?(ig2@4bpBpL-qrM
zZ|CRd-GOffwrS6U_gB$^utbT%hP0L%wv%pW=wg)~h<TztoqWkU(JSU-B`hVGMe%qA
z-U&^UL9N+@f&%eT2`u<|TtM?&EHAZq95PD+lXgLE^-p(~i&!{4Vq!kb4)5h`*fz=k
zy%nf0g}=W_>V6_=L45;*aC955($nzxgn(Q1BBhk0x;di?=-u>s0Yck*`Ni3!izMT+
z+jR5U<O;RzDH20*TYIUeTazYs_UuHuM`QY0NlR-F=g#yV##c8*tEp1dgNnXyBN>O9
zsLjR!C)3c`xgWifbfe;v@JbG4SSvMcW1)oOWnLLL;aC&=VNoDOJ!Ho5#2!iv_xIPH
zO$`nOdX$hrFjx%)hTm&(2*kRl8!s9@cA>3lST4=TUQ+Ok@jYi(Vtvz<De2-e4LrOB
z*&`_1^_9s2Q82E(z`+C_p>}t(MSaM;mS&R>i+SnVsJoY<VtP-{ZsszlTVJ#_e(Z;h
z#UZlUMu(Y8Nl784^*{)G53^I@j*Dbozud%dw&C`CobGEg&lo+OedQ~GshV<i-^{_n
zgqAe_2QYz`Qp<pLce*YE8dc-s=Ee)V`*=8*NpCN^CZXCb;DF6%*XNO$ac@cg{=6Ol
zE?mB3XT6pJwMCG2|IMl1SQjQN=gVA?UgMb4fpsIuLO49L5429&2kbDBl)bK{-T*%^
zxQ%RE>7~DV#fRV$y4hxDt_nYaC?KqwM?IdACY=6MYe!!zqquyrEDEg4J+1B3ScV@8
z!;QQ4wt(aO?{oEerKUfuKs8i8m||mNRR|PZG%k@Es#06@Y<ngn+PfR}4#!K0p&$~S
z(6eyP9m!5;*fmgAVn*aoTX-k19R~f=zQ1qO)QWSV%`tTImD*ccDDZtDze>6;ia~4-
zF&qzpF&ho}lc0@&>JJDD>LL~E!iG7W{ha=`F~;RDr<&e~$wI4+eD`-HN2ixP#54^b
zokOSe1})hsy?PtkdT92?K6Q0<6=e!8X6@F)u{gHyx~pcR5qGn*pY!)R4h2VPiX9+5
zg&>)=I(tDwgT!8i0Aza>B}TaRYfGle;y+g6dy&z1{~Yt)aXmFpQ{V7~3M`}(nY-Pc
z0~CTnD0wF&B~{zNB0ZI}Fn*I_*j+#U@pM%hyLz^VuV=|x@TlX(&!=6tU<!N5wxeK8
zQBe^|01IBmC<l)5r2Pjqe&K`q#VZ5z+S0^NMIYQhS~Vx6ztPQw%}8$Hf}ca(1u2}d
zPfSeQqUpbvbTQSEQzubHNoy^xwf*L6?%rF=a}svThbG{{5o95tAhndVG!e?MA<$wQ
zVZ||sl-ggOOFk#|!GCO=-G8NZ9M8O<UDahQDSND@m<e`a&OdI$|7{=mn`jFJ9z|{j
zc6Rn6YSYu&YVnLAQrDR5diyva(jfAKA;`73JO(E)2S;W`G@E*RInciO($+S{g41lg
zBxjTxT-3YnB6G1^;N*lus9T&6_Xk4pak%KiLH13yu;Per=`Gi8XiPM=v?Q5eN@rYu
z4vrj&er8njsg;u5@m*8K^t?zifiGFTNd{8Bs?Gkn;xB6(n;;V9$F}{M4yL4ycG?T`
z8eO+Oh3=JqCne04u9f_J+-&BhlHCSR_<zhF0}z}z0mx<H;_5oegwu>nO=}ho&?_$x
zyD8>YBVC^!BzfsWDQr-|`(zt5<{9|aLSVBXT50oP%se4I{kVQ0U!HnGXVD4@Oh}P7
z3TqBmpD_mi&O%AH#m-j%KLF{9IR5BACA&rNdUAantKHWGubg*if0br)`)s5aMP1g5
zfb)aZdXjw^uP7CZNBS3FcJKSpVdkkWACCVMuDxIS7IDa;pqf=9GXy!HGpSll55QJA
zkR1;RC4PQ>N9gX?K=HwarXq^(*s;KT$4jCbttu7=<2t;!^4Tmy<t2(wq<thDM$zcZ
zL$a4`{u<z)2;i1jTx{Tg9WvAJNgq*vY#pDTmz5`NZ&)PO>(u!MrM_UrptnfAM`>kc
zWgQVY1$xRqsT2~9CD#WiWl`v5%Etzr5ts~`2w|VD6S1gTY#KlTnL@ANW>fz|7@|Q2
zBxxWjCN{bqSLI5wZ?s*>YZKY!b_T1JlCGLMVy7UC72HDh%Ggf9q9MZc$jL<;?5zIJ
z!J~~&oU&!#Cgl|i?9FWF7>1XXC2Mu=#l=+8h0l{6>KiOzib$&leCat#h1Qo(B*mj2
z(o+x)#0Kb=Oe>6AjtBS27oYe*c>4x6IX=>@dDF=%zXk<=#2Y-Lp%H42)gBxDuunx9
z$Cy)^En=@<<Z5}`tnN`j=T;0yBy;fneLoi#2p}_ndOFS9FufGC(NvFx<0*L46WzG%
zP2P$a%V+WQx|~x7_o`2Y;mpZ?fa_rN)2C<}S~f7Gy|J*zu+f<9G#|OpvM@aH*Dd>L
zI&S?vSY9IK1kdBg)_XDR{(GJKe{Ni%64D=YLl`@xbP%hxP7)Id$79^~ZmK%nZ(M9_
zdqLX|_IC2auX4Yo5z$w<`d&1Tq9BU|cT>CmV_2V3;U;vo1M{1rUzk_C9GTQ0^wduU
zwtdRPZ@^wTa^jp77!~}#o6q)zF!1VTa7419FYqD}tN0i#=X`VSh2i$oJ_e<^lJogD
z37n<Y*VT^ksY^l4?P^BCi%s4T3(f;-Gy&*q_J_9MVuTz!V_tAqM76hdvX|@U^WQw_
zY7Hj~UlGjp=V>ooAVqc%UmlD-&&y7Q-OniYO3OdOV&qNfxblI0dI<QzHpAytNY`WE
z?DrH-jZ97=HZV67al-LiFv8WDN6{l{>J9s;4#x(#TNBsOrKe<UlpgJcm=KOt&i&2D
zifd}3r&t_`EI{(E2B9rm?op9prSM*;u8O^>uEfUyM6*8d`-~&_btu}ID#0%M?^A07
z*p@(()d6Pon)H5cuG3;r(a4H$2>QIzg>2X^hQs>*eF6T?X!`p4k`$l-wFglXhBxTA
zx2^G_jLKc660qFeYpa>aPdoM=&3kYzX?qzXq?VE7xBRA{fPe;`LTwb>G>%c&d%oK;
z=pg^U<pyPWLi;;!4eYGT49aOTD}|bRnAhV?3I5<?&>pG*9o8%GdP*)xU4wv)Ys?lx
zaP)fS3tZ9qW4o_xjumTJArE#0E|rq1sw#wv{rC3l*>lFmDum~&Ab3}^%G|C*pU?$w
z3}cFWNWK~FLBmc4!jczi*i22ZUT&hac8m*ct^V4mn#>z}2T@q6ry3a{sI~%WBn#ta
zgNuu4ZEGWuGk-_Pf(bn5V;Os-{)x;pGcXr*ov-1HF=B?Q`+iD{Ys#Z-Q$cnxy|uL!
zmAZmYV_}g}A5#vqQ#jQOfwk)Im}qS6iG*MgV{s+F+#A3bEP{+B2cTwEU@HU{9u>=L
ze0;3=INM#wxrKa}^4q(bk^oRV6HWF)hSQBpr4X?giZ>eQi-GT5d9C*16)mO|j(gcF
z+qSo*K>$B<S)~bb-T!^=^Fa*?h7{}uX8Gm)m<PX+B=_iFVY$>zPYQiM$61b#gowu)
zGX4%41rx{&tK{>P6kbr%XJI{Qdlp?Y4e*JlRi_W}zuTst|IJj?b*^SAR*d^xV9?yQ
z|7*{$mL?}BBkGSijLkt?NK@QyzQl3|bKbkN?y1lDQOp!-BFo2vcavm?=4Yi&@c-@_
zQ@9M`^`3~90K5JOOVXw5u(&fH%33F*%DoK69mdYX?O?%wk)6}lw5+U9i0w{5tc1>~
zdBV$=NAy)wELoLwJvDs0bId$#JNuFipkp0Jwzhl_lO9Lsb7X3Yw6;(7<qn<pP17X`
zZeOMrcAT0mHvfs|S=)kzHJ^J32I+sFA6;nD8%h|NC>1K7NVwi~;bq@4qsw!UqpxAt
zgzOsF6&voy=SWro|Ag$SHng;~q(~TeqUdoBCFFWV4_%>6Z*P?l-HSZsX~zfIaITz!
z$iBxnH#b*>jwaM6(Yl^iOHB>Q)Os?1CAg%pKupSWg=mx&y@z-%aE=}TZ9gVAmGI6Q
zLIuwdh}mdaEyFG9)TOpC#juCOX8(9Q(b&-(PujC5$(A*No=svG8mT<qQ{2W!p>Rr7
zBRbAyD->$FZVf<CqI}810ZuGts!O(c0y=<j+i>=@vvaNv1@6veV`C2fGmljWxH~PK
zJ<L1epao)3^blSXCh&2ya|rW?Y6fDfC%pPt?T!h;rt#N0#}M{xvg~%@&$sN^-xP{L
zunL!ceY5>waYm(Iq&N<>(!8A*gQko}G6&ZVC}B7*%odw{&P0v|t6+G{wshiuuMfjL
zSO5?Ul73Cn#}?h7Rn(|2b%rzSu<#Rq<+iCHeB8Qw^U*w#T~;K^3u{h8(1Dx+6i+f7
zu|=_Fi_Za*TG{8hJ|6FJx?u?{6Om+PXzU<|vdX)8MJry8O-+TO2{Yc_rTG;71&=gh
z*?aVFr@y)GraDLeg1Ath7L;(%9Ae9>WEoh+OYlG>O$n$~iqT<yjbc~QjJbmB+S~T7
zQ9fCGr_*vqMN_lM5gc_1AK2LcK1%A4H?4wVu_&n7DPOoGEmm~#+Vbt=1(3pb=iSno
zqkDl43`S<F8XJ3h*b&hW3K81X*p00%BE#RQovQFPb%o~N>PAL6kxjs;GLMY@cOCev
zus%9I9*hQP-JI-x0^6z9nsQGwgcfXfd-#nUyPTyHUezNM=X<i?G5BSEetsb!ip>Fy
z5KV<kJR%U!l5r;7WvgWJ^9)`T#j(pGGlD%+Ad7jG)SR7X8_rh2w5Po7n1FfbxCcY(
zqc|=a<Rba`@|6wTQ0W0XqCoa=42|vW5~90>7B#T`Z;#b7FEI|jj>s%~p6x$W*Nb+_
z1yi!!%$xrF`2p0Kv$V2m<iTha9UUFt;GZV&)jHbstSOo^&~$mC&8$E{_E<4t03Rah
zE<w&0y%l#QS_sO+p=REvI7T3E`=@@w|9<Nv>3Upb*CW`0<3*CbsFksoqMt=AO3J__
zOu1-<dZ2aqW>wr!Ch1!k`M0h?K@#!Pl-&yAV`wo#n$5pjNvGmaZ*1b#&HX`eO23dT
zAHD-vy~O*h_Wr%S#uF43LTOK=_=_$Qe^PtAoRY6Os82eg3LJbYQrP?N-@gZ<ayL|+
z2Y`Uy2$>-gIRV|hDBx4XIDI(k2zp{?tgKQaVPpLM;0~Z7G0?4!!pRha=;?}6Pq*b4
zw!sD6st>W#z0MZOMlJVHJ`v^zZR}^2LjIKwpEkbhlp`TPWetsbO-_@`m-l9QPuLLo
z9XwP^#*C%{#mkpIYZ@BLT>o#-4qUC4L;B{pKMdCpBGp5;V3MzVo913{W9EW;9SLwP
z4s@h~?<6!z9PO~Wv1`DyZ^anRGM^66@H)r=u)s+60G2PX>(RI-kP7cYlOL)~*1wtH
zRY+1-zaA+E^)m;4tr^-Y3U$#E*$4G6?olCNH3~2+_RP4|XcM?_ZfIiOehE%VymVB3
z`fa`U3FzFOA2D28TjP%S6G`B@Uqg4O5HM?gKkt6PaNJK%dfLCZcy!OH+aYJh#r9HQ
z6@Ljs2Mm>7Km^AaMFLR4`QK;o831$WLQazkTvV8ovF6WD@YE{7XVN?O(Pi{%P-23@
z=afcduBM_;=|s^;0{02=c&KSj-`?rPbpqt`0h^-qrKRNz^fSO~w->qEK+pdm5;{XN
zfp7BiLOgu_cRlQ(E6~|VCOS8_S(O6gefi?WA$?WeF^26Ipe6>H3wQ5Er=+HI>T#%{
zVuKQj3?8<i=Q7>9P`2=zn*rc-FnMk1+jK-h$+y>>2H+Y1NE+C;*3%bKzVx(wpA?~A
zw`wP#oS`;q9tOCT-yhryb{Tg;q>lmZOJscp{}}~Ot&=7(%A)Xh(Mq#p*N0d*j8MQT
z1+&X04i|=?Kwy2me*HLPOFQ3AadR%6MR5g^oVpV40QIBkvV~HIkyfw=|62VCooY`)
zRtN<XsMaGVTcT+!EnNgj;h{8W0NNY8<(B)=8E!UH_0^;g3~hPli1>O)$#m?L7cbNs
z9c!m|`uw=-*rKh&-h8&o;VBF~-In|(h2eUd_vQ_4$muuv`8*H{&zvLNOI1<Eaugt#
z>n?Iq7Im9P{~gD6?a0BM6CJs{NPJuo9}kpC$9Ht%r@{CfeEZ*`z{dB1yM%lF{FxLG
zlw6c{)ptp$;bo_+-3?X~7KOdB_g6gX6!zR-X6`QMDi@?+^pfl0@vDbwLKo;ZIScx%
z(o%2BLkZd0nrAS<f78Z>zB4V-ft7PyNsDc45q|~^5qtprjEKZ8SV$c<r&ZFi1i3hk
z&3)vKtlV4?U>_Gr+~`*T6U-&>lN2~`?LekE_SH=#2Vc@Y9^3`5X$YX@p%D?#>h_%p
zk5@bNAEOVRvLmaw*b{CDEHG^Qut=WETBlXh4#F#s=!C>;L8hE<xw!_qYAhV^Lx?u$
z$HvFU7bL$FF0VrNLmB1e@`w=(tsfM!a5<<y6%)7!wG<)T@%+S85f0s4Ug(@4e^E<u
z|KLn*MTG)@5=X*_%!W5kA>qr-Ad;(DE>i3}m`?-)d<<n-Gy08#PvA8=RY1vN+H$Sz
zg*g~CO4>7n4^U6q#%An_AKc}CpZ<a#fX-@~m}IeFEN2cMJ`4@^40BW6)(NYC6l3cK
z$k>&&o#u+)A4ZcIuY{rlTRuJI?d^@K4b`ZS2z`GReca^8h<{pI8iGH<8Ll?yorzd1
z?OQ38m@1jQU-paCPr9grj|X6uiNJYNm!if7OZVlT53JL2gr{el>7GwM!pDzqtAB;k
z5=`&I76lGHD1F0q0g$e^p_bA-9b~e4uxvWSp$hCDy+?QDT^c`o)O|e@w3klS9wx+0
zLnHmL9O!qjZi?k=8Sl#5+Wwdd+JYr!*?u1%(GtB89APUZD7qK=&DK2>*bV;##hnjc
z<=b{R)n*S244_fGFk70-XKKMmV0}hlV+M?dat`F8i&eaG3<$np4(5bAhULGt#BkXs
z7Zs}~L4l_l`YoeJo~GIK7arG#3gx&>3m6c;Ba(Bw-de+iX+M&1p6JPwHC?^)`Cy&p
zC!Kftj02#D8NEw1eq2dkQBiTcuY4m)?m9TQUyH7Yax#NsB7#HpqrXswVWNG2^)r28
z+m+9cP#Oq0LxmF(bnToQQ3+`lyJ1M(mnUC%(;-;kDE_S&W8Pm_g|9Hv17!%PZ`5Xg
z`0&9U7(Tx35BxhjJKbR}EeD8v;AduLP`d;WF2@jT|DDfld1~rW1lu7XB00#+>~9>G
zU+JhH7z2jNw%Ej^q{H+8WHfsMoA&%Q%2@ODm|hDA<}gf!b=7wO%4NId+sBfh+6S($
z`&`>n!IB#7cu~}vRf1wvjc3yPicZN?x1>;_^_>$G7>n7FgP~9{Wp}a#l|4T;X`~>4
z++@kH>{LKPLW1ICAAm#9%mWl=a0;_DHa0SFuJ+R)Y=Mwt!XBwVuf(vSyIW??O|iJR
z7)6&<Nx!_Y$1?{mMz@UKJ)A!8R5Zn|7@~N!c8g!;*09`Lo}MQ2LJpo?U1lKAi7fLJ
zy!yKUuwq1-$7p~lczv(hHK-O$gFL0@Y2iOsRj>#Z$&p_MEQ~g6gS3}XO#G?aV=1{4
zz-Uhz=J7%JB)T0_cr?Q03&p_1USFg=3A`d!Mjkbm)}?jA#v-TUSR+yt1z*7{zog;?
z8V8|)fe)7MSDUQ0m{j}8%{@0?j)JCh4XjJ=#_9qby_cz}`yN0E`)bzYK#h>^`QO0a
z7j*0L@N5#joTrgkYz@F3nEt}d;S9WOoDpujg|P)C*Yy^zEE$o)p!W<u{=nh>r}DyS
zj(wnIt2tE;!-nq5?w;n9`<bdyeTQlXAeiD7Lx`wg39%u4kNj>R6r6OCW&nK7uMNth
zE%SdiXums3H2Dj<cT2lXYH?wQp1r)4+<Tj$p!h8xhjD@UdjEJ)<XYuBaMS|1S3F*%
zr;qzDl>W?c2ti>B!K<!PV6PlZ#O9nY19`b0QS~(cd&L#)sFz{}XYo5VZtJ5*k51dD
z<W1hz%)Vk`aJ<7s0RWd&pWta=eB}p*sg)6B`CHw?rAUktq-y-wd;#mu9sZteVN(#t
zLh3}r?mt(Gg@pk;s74`8ccbE^UUr61>$r8RAf|8|ogr&$YrK2k)4tUqqMQSWq{l$5
z-;d3~+By&xgq`dcJ?>I60O0eUH3iqHYk9eIJA;c*IXZ);6LP2vIAouJv&1>Sh$PTK
zQbYc^bNO;hmfZOC+R8$F!{(clM6oQmG}R<5>~&pECxls4T;TzQ4xcA2Eq@gy%+Ujb
z&h{mG&yu1dsf(#!w#9nFTx&mBAK>mXN|6Y0zgCdj{Ku4Q9T3E*sj0QLW80#oyp_Oj
zd(z>A8UfZ<e0d@`e^M@l5@SLhauAqk664blZ8OR(0BRn7KPl<kJ=C-O{iz5Tg$Nx@
zmm7)46mrt8#|$3EYP6IgsCa8_F*nBwKXrr&`L!|Qg`#&H4h|0TU!4o`^4RCywY6Ke
zA@t<$4~{4<D7XtjxIu*|jR8UvlWG)7Q;nD^JD~Op%UKJQ?^Lh|!plGkXU!>`%b)KJ
z4Gq;^JwHz8V{T5o657_<8n=1<B!qy~<c9Le5G;)9H@X$PB$c(YxdpP;qhQg4DNr~7
zk<{=30svvr?&5Xn1;W?*Yr;-(wLc*m?7oTTDacU3?mI5z+FF8c(7q=wLig?34|!1*
zkZHei<Y0ZtO3xI$OvolU7bKfUT@Xjwk1ZZTUL-a`@ZJ>K<NJDobgJXmW?QDcoUI-`
zew?}+9{pE5U3H0dfiQoUJsPZ)IV|F*_|^CEr>|Z6c7TutTY@Mz4CGm6IyySo*kH_k
zx`!dl{r%}*%;+f*k(&>RSC)zmD2^y+D#)}6P|<EVMupq@I3hwxHB~<J_TV*PhJ}m{
z_Rq1UDAP54#1dF50+z`?)MqXceib=y7z!mhG<!|>$zq*bnRENf`eNwDVxcg}-jgnN
zW0hXCpn9eJN22A}_<FthtAg>Mj~pFLEqTq_JFsm}<W^psE!Lu`-7UK|icC*qvwRq;
z`Y7E-ks-pfD)K!lp8yym9`M5EQf;7(&<uP8UV2HN4@Xm~kO5@;07dTKpNj0!v8hn`
z(!rE$*ZSLvlQx#4{;GTBn7@g+TEoLVYN>0L4kI<NZs&R4_lW`vw^R*B1ZJ0p4@|93
zPSHymL#xhrPT7|UlH_+%^+*#re(941y=Px!*<8|*qemsbrvG<245RJq^V+!Y?)39M
zcW+;t{4SHX9#$?9>QLZ?8V-vhJJIGR-PPC(8mWO%bwB#g6j)dn9Pv~XHGs5^1%#`h
z$s5$S6x$boq>-CO=dQ@#glu~{JJkEQ+{}Z}s)~w=0}Cb~Z!`_EHC|dye_YHBcX{I<
z7Ytn&7~iE0`z@sVGfVSSf!S!;hMAjo1{ab1e%Rx<o>mstd5G-+Siztr{E(L$)CnUA
z$Ob$3%sx%b`w8l(4xMj~qJ*d#*lk4Q%a9sA%)!|OTPPb;Omxe<JOD57E^YxvJq4ht
z&YD_R&HwBv({!0Pw(6@>@pbaap?ZsR%kArdMeb9QVvW5+34$1l`r~GeK&3sDdgEW0
zOErz;P9$qbpfDB3U<yv2q@)AlZUmSr#RP3bziyCFUyqXaUEFxrubp*EyBi`RA&;3s
zhVy@N`HBa&y*;}&h&CI0DJe(IPgpJ0$YvL(%B~Nwrzp=>uAQUCX*THy85Jm89@DTG
zm>hPijxW1n|0vW=?*OKd$#+f)OB_Qw%784P3z3QOUnt*LL#RezG4%Rh`?JpdBSoIe
z0~!KLdZGnx9B$gh^!e3o_9pCm@?7DpYYL|32zLhZeBWDp3u>&6^*f5qxME3hD{n0z
zagl^1Nfj84%Y}}ns~V>#%H%=0fCI&NU_v!N{%KfLJYOH8X(N1(%#Xhz)>FDR{cTA#
z(RbhtB%f*2@cyK2GUaZ^WTzxaBaj3#Q8CXRGRjiCeGX~w`n<!&Ns@b31Z)NpQA3$C
zC|<HaHU==Hgydu%Bt482=Sqm|Q~rG$Yki#iAz1tGV>)i+F-&xvDAfoVku3Kd&YiYk
zj$zL_GKDWID`Suq$C%Op)C;DKE!?%(z|6XO5n&vnDY05j0Q24u9Dw<m`-}dV#jw~o
zPe&WCdB1YD$Ig9=Rh^4HBEwZ@0Dh03pV#!D2NwX*0z&h;(Bc4Pr%DItc0It~G;n~7
z(J^>Oe?C7pMDtv$;(fkZG&Xn1Tjw3m>|@Z8E0s=5`I5$gov#S)aOR$vVdJ7n5+PZx
z*u+Iw2oDkon=86k1JrmJIag}-WZTu>*7VKfr~5n|B5mUTA=Nc;-4F}Qs%iUlUTRB)
zqs`Q4C{63+zGW%smUfdt6?3YR+Isga$j`1u$(kr@0K-{Fm0MfV{8JnwHlw1fr{2VX
zov($`q;ApDGpLw21#hmI*KXM<V8XiL@{>J4W?|#4o!<C+turbrDhKO#Vs9;fom*8Y
z>WXa!`9Do<W!s;tK<-U;{oVQICgxsqW07FLRgS+C3oY9fwD2Oa#LLWVAI24_RVQ(D
z^e>Eis4~wpA){C$5#WYoEzd(Q3$o<byL5c^)980H`m%F)``8$ko0({-$2~+v(p%n)
zDZK0yrd2KrbXBDS<M`WK31g7a%55$jhdnFbXjIQG@lkCpp=P})UX!%YqTKQY+RYTW
zbg^G&0&I@y=?R+&JW3&t!3!m8vTuWuPYQ9kK;T2sx`EWKfuPw)Wve`BGDyS#DdZ@1
zt?DbclZ5-;8Bof?`mb%Sc;mLFBNz6w)FwB71zu>MZsGC$K`E#f0RcQ$u~ysRSg0-{
zR7kYcEiqa^Ic=^@R<PJij0A4ndasd~E4?C6R<v5FojstS`A9tqxu4qYsFK+F@H<2U
z!O>;6T_DEDeC`V!mss*&SqW0j3XHrt{_#ogl&Afr?o}^yt;-su{)zqa_}d3JRp`Tp
z>7l@oIOaTTvloDE=9~KjH4XK9<#rdymmM6IGAZ`<^_qGfnNW1|7ODnl5^b(~P~q<U
z80c-)&3z?_PC6S|CzpkLEPp%@%1J{p6Dy`R7G6scdxU(>8KG}8Ko6~x&}Pkfghiw5
z%Pw{HQqme0kgcImLvt7N#w@2m=wxqM%w(}I7yCw`snr|&tAK=qzU=#O{|ehF83C{d
zPymA0QSWJ^vqvbb&XOJD3R<k&L@NlsEwI*gM>p5QqSs}udF67=4t}DUm!2Nnis>h{
zXrG7qx9{YZXYfYYcE-EV0?9sP^MPQww)2D$qkQSN2PI=mb=O!2@XM`HT6&M+O|USQ
zGNxGVKXR6@K)f2l9nw?uZ7v$)G~bk`imeZ9814g}i-4!`TMviT8;ub!GhM$P$Cfg3
z(vEco0os|8OK4|C7o$<>nlbcij+22Glp0NZR-)Ux+8?&DPubXqs_xAU4#;ywJ6ZFR
zv`yU2+jm+UrFZRYn?j`uvc`nz+-jFyXpL-;&YsiN-fNVO?^lx=jpW2o9mf$f9n{`;
zdP}?0Gw#b%mKV2T3jhA<*bV0AmaX?k$@Oh4m<-`ZXMfwvis`hzBI&Xp%};k^R`|ZP
zIpekHRv#?FxAGhGD0q+r3$NDh-0JV2a&j`XBm84xvRR27G_Wr|`oj3fWhs<>pBM`b
z^&t*7wp@x*+$JuN8M-3wdIkut=&2Zl%;!sLUl`t}6tv`u4OnTL#IN6e^Edp=0H4+$
zgUfOy($GgW-N(xF)IyQVyUfLcl$)nrKYxKTbHz4R9TC+atbEAS)8Tk;p$RXBZ6oV8
zaF2ZbW<yjKmw(ah-|qNKtjve-Jxa?UWhdrz`Pk#Y{An?GnYB{rh__Nspci}O?B=eB
z={+`Et5ErkAprm;kIePC&d(7dhXg`y2aZZnaPg|Ydb-aW!NakuNq(&pA<!Iye`8E+
zn{AZf-|I65I)u2p{L3=IQ{CAzH|I10n=UeUZV5BsQI|(nQtuUH;~c4dPhnr;?vNc%
zrHVanGJD-*^DagzJH8{@5VI$|g&fWPiNk95!M21ZFxM+P*>;Apo2;KGF&5R$ci+D?
zqc5LVZX?`e)R84lw?H;izeqYQ`OC--T)K|75&J~y47&AFUSn(j{7F)Aj)`{jt>4%}
zP2J=;EpNgQ+f#arE&20GG%<e4nDz0cF&Aou%dehD3c%e<J};1G5B);gmkO0+)|I!P
zM!biauhpUDtC027_Yi^4CVS6li@4Az%%=%kZxu8I2(tO-%<KP9kdmA~Z~aD0t3wy#
zhS$&7W$E*9rpi3Va@v_&G%sFEfU58Z2rv_q3WdQQNq&1DIZtY72|+a~ZYmk#{xJXF
zJG&@rZ9Pg3sCDQQw$U`|vg+GcBvs^TwAD2s^VZ-JR0Sm^dxcYEpirVb_!CeaVhGit
zv9vD(BP0MDaA#H*>y)h9O=v!RgL~X<lJO_6sBl~y{a1NlRE*VC{BI8Zyu<c}9$aZ@
zDI-j{bU_j*7jtUDC)c@O(Q$4<cSnX_kWhN+CSIlETXw;L+jgyva(ZH=O<8+_wr5M&
zORZyjCWzK0+cARGbj@00Q_CxP45vxve(|TEGoj(L(m67Iv$5II^7{y0fM1s*DSXV!
zcuQE6m1}N-xc2uwn8bN+$|vsbJ-yGf;=y}*knIna)qy$!F?;yC>&d{TQ8h1OL{g)c
z@ZrFqAXmDIs8=y^%3~O>rH-?XOnI(eC`2(8o1+-o=DPbei%sPx8roQv3TQ4@f4Ez%
zdHLk2VJtXxa>i;u4GV?p$%)XRI%A_PSg_#cjU}iSzdY&M*x8trCFD{c7?N$Oeo5=H
z_82=(NK;!@QY!F69-ZJ8u=dk8)_S3exV#l(IkoxLO<C*<eI2_uKFt=LtBAIvo4%`j
zQpt6~WsOqsyY=<YEy5Llb@p`csh_fKJxXd8{fP#lB|23ZvFOLSc1~kkXJ6Akld@}P
z)Ly2}N@0RU$JX>H1)HE2yUVV}JCF)vIk5Sv{nu6}%DZ=|+p*s|r@NsbRd#E(Y2?VO
z5b#uc_TwIigF=Mm(M&D=ioeEK&k~5N`{%Y}f`5CtK{EN@2XFQ@;hW<Mk<aDP86TH=
z=j=?o)rRU4Oz>fH{S)RVk3QOAO79S4#>)4p69uM(%QF0P>-~Sx=f5FXtbdDKe*brY
z?5tUL-g8+VZ4wS#M%exXiirpF2qw1vfN4TojvUq@ai@IcYe-|mm$dlfd1l18#c6Yc
zgre*E;2~=%NzS_E5csI9yoEVJ^V50gmVk01nV)-CXfd6(*rHfJ!t-&$$~rWwH(&Ue
z^%&GW6!1^woDl#Q{B+ntTwezp!0O@O01zPyR~$yiCj-jYD(P;$XOIPc6v`|LyuLSR
z+@--0g{(T+swskRtDTl9@^N?}a<_a7*6&UhFZ4N$=D88@_mxTqqo(@u4xV(4Bmij%
z-2wggI0;#>M^xs%1{y#k1l%8ni@CNr*zx&%f5MZPv$S*Mkn(5WG&zp$ZuUKU!b#sw
zjgvVnb&>HQp5nrV2z$9*8Ajg7A=Ijn?SQt`o}CWCy=6YJgRfIey7xs2bnI)nWDVt9
z1$>mSvpq!J+t2qY@NfW~mGlP4@T7}w1+w$Dkfnym%~Z^<@lXGhjt^BKd3i3HtH&%3
zu~R(bLgrjx0tmj;&`2e7XAF%UJ&f@y(^)PLl%+hEiK?@aO36+rRI4?+cI_HuFi#+Z
zx%0E?zBj3efu5htY8)JBvYEoO(}fh(D)trGd5rIW8Qj#=1im!vAB4)?7uk*-N(QWD
zgsn_JpkySdH$VIlch>x=kdH(17k<bN=8ka~FlvmC2h9X9qNk5I8Y|3)R^I`TCGCB!
zMn7bsGC_u++umy-uySo~{wK57&ZWt0u`Xigx0M8ICw24yyFuo%@nl{64on4r=R_Db
zh_;`_=9mBMS<ifX?(~ltfS;HK+jcjzYz+72X=+O=4r5hwPjV9kv=g@Bj=wHW;sd%+
zH0kwkj<En}^Lzas;wvHg9uE=dEs+U)6><h+Dhjl6eu&2^vh+$EeF6OeQ1>6gn|JPo
z*C$HnC)*nvqFiWqhXJJ}p7}%&W$JsVzK@GxM=ta*CWAA^nKbt{bABw~__7T^oSS{2
z!l};J-VTN*H*UW$4|@%DX7-Qs%4$&;;vmATX&*d#DIwAFPA^5yrw<eAVDU+z02!hO
zcW18SqtCul?==+y*AAINC)MsZ%L-cBq)^}7^1~;OW$N0$DFNg6_KGjsdO2kNW_z7o
zs4OdFeelaUXV>tQ)3G!sPis%i!OIs^YI-c<LKl{FlG8HOjz${J02Y=<_VgE|iaiIM
z<=3@=CGvO3gwb>oRejCkdla9VK6<PkwTr(xe2zA(I<CE8*Qg5*$`th8Z}t{c-+pgB
zxO-JPWB>Wkg5x2rP0>e=&9r4u%(TpPI2&E24Eq)><!S!2E*Zs9R}c5S{Zrj}W@_8x
z%;n=gO9{U~vpTo__;*DTN;o*p3sN2t#uQE!P5d;8xdrm1>yzc&RK!>ECM>cigw3KR
z_17<U7iAvi(bgWL<q8Egi!)=3N8zxWvfNr}&b~^dFrvU#_ilDrO!tP3yZ4LB=Nunp
z8H{Q%n6JJTY8&{y(+WNRJ+*jA>E*=J@tC9;)LH@i3WWr~V-3902eXgkUTowRz<Y@M
z&f<0OOU}On2&O=R)j6mP3!{e-d*f1dc!y4nPT$7;5t%}1zzD=VgAJLW90UPQ0Nu)f
zVpjaG9RX<O|6B?DWwBd0p~oJYWte4&H!#^y@cK4nkzn)h7bw(3Z>_yz^sO1~X`#;M
zCibWMJLjmeA5)v(YFHb@chlc|ix0z71$>+|W?+@#t@>q7D;%Q?FEPfZ3inV9K0ExB
z9?)GX$Rb@P+tkLz^Svo%JrPFm7@^%cSG~InvPF*ZXhX9eXD*s#pIL`FX#pG#NKFq(
zYeIG&OVD}TaA|?an`<Y(r<L34_<K7|BM~v^YO~#S`9|waG59*kfc|u!f)skA0h?j!
z3cW?+Iy<W-DL=!vH72Cm_d@#Ws`aH6?T0H!x#bO$M$;Yzdc+4A&KE<qM=r<B_N-Qw
zPCaA#?$b#PDQb_*V#tAIe68j*V)i2Nrv%1U{RZ~rIm$4axUOE7*itxmKyD)=yv{Vq
zn|Ld~alOgQes{}sk92%UM(G|+ef?-S)c9w>ROrD5Z<pOxJKp0ZNP2+H6eNY-4rCEL
zh8a}|&nmj1F6DmJz(FnjCBku(Cy}6<Hgj9Tc!5rZM<6UX5{GIwpDB;whaVjR)^CGJ
zxq#c-Hs#M3-^>2X8&zaI5wf{CmlEg-KL7;a!@vEx5ZMCosmA#popc{~3qMeiFDgn9
zpY%F#%mz91it?utuJ{w!%%__B^MJqwk{gCQz1bXdWqD1TI6$51G%7zit~Z_4{@g&V
zuy^Eme1ywZOsNvu17mysPexVCO7eiY*Do~*^~<lt8$?$3s%b-`%#w=hz$I(zL_Y0g
zU!2SvXvLkJ0$eXORuM(^){RG?xUPD_1kA8RRSQ&|ROg}URAMNNZHqE=d)P}c)BaF>
zg*)~=@*k#Zo5L3_0Ylfe@NCCnNOdZ%$j+>`7W$k~go0DT0h~}oW_q)v0*4LYe}M#t
zA{W8rb2ak_$;Y)%{?=f%kat<R2Z4_;xAf}(K5O_nH(%{$566||hSsm*lWP@o-&(X~
zN4bsxW^VfLy&21+(JyRpG6l9{m583hv?mFc78B$NtQoTUbB;~t487~avvZ%TR9`KP
z0QCF7>Nib&S#CH6R9BW`-ZC6zrlTAzZp|!v+1EunM?#yEM8Ir!wQ=^9evO0YdW||E
zHUC~~)RjSjycmsO;5nZ9F9Hg;b<2{30OgFfQ7{=JZ}82lNuPr^Pl_I9r^I)B+nE`-
zhbAz=_TQ}&6v1~Yh2kQb_V;XI@^77l%QyeJ{AQ>+E~W)tzW6Kb&<e-mskiEmv$G+Z
zda`;!7`N^6rw*a8W37A&6na3wpnV~NP7yf>yjD-AZ|&;1rKOq_bxc@Z*8*XI<JQqM
zn-rVfrd!oxPAbP^RLL2|@~sp0$OKiqB-;?@QI%n;_l8E3km+eQ+lgR-zMO*}lD}9n
zncj0bAC;_%+wulDyQKCUywo%@0~nt9cKH1-r_Lg@Mmf6Jc_*pyWZB8Uz*TJr93xa-
z02oSq{MQ9sr{}Wy#N-fZ^^Wz){_#s(!w}IB+#CwUM_B}q`8Z8EXD7QF1`F^t3syL$
zWlF2KVN~NC86l1FK(l}?`GxEZ4I6q+UCQ?EtAw?C`PO{&eqmyn7=-jz`}!qlwdxvJ
z6(~><IImbAIb}g>vb(>uyu3n`ZtDvNhKnno_*4kziO${7)_OyCgZ9J6kBMSpDi#>k
zWQX1VF0Ms(@f1Vn`u{EtY>{q`$m53l7;VNx=>^rAuh$2iO`4;+&@Xiho;)*x^yJ$&
zJH^4^vi0@FNxB6%YBgHmehh_ut$>6X@@Pjqh4JO-!6*7#Olxxub}DTs=(GMGc9cS0
zA#xpEy>|fteR}ny5ucg4jt3CG>-Yd!`wMrhCy&vNj<EaZ6&t*vzy`@kD1-OV#p`~e
zi|=-w9at{(y`-b17CrbFlL!X1dX+-jX>n{dWjJ44Nh-GSFDy)lZ0#5`i`^V;yF9@z
zhZQEV-mET{&Ern9Ne0iwH3s-&0NP?XY6fn;z#|}qk_?+O30!(xTOVg%89H(bt(!_q
zz;VE(H%V6d(_?=6*`=ENn1b=<7+#^Zc(l^OtSb(p82BGMnmJ9P%SD^QlYs)l#rH)m
zcE3^TG#nAG9qhJKA^bF*BuivQcI!V+Jl#+L28j)z9KU5dKNCKustO@^*vt1KL$|0f
ziG)2}`|~KVLAuQ^>uMfNWM)9#Q#Ux|Ih{X4GXe<t3)NKtprb%>R&C?OzD^oY5D<5(
zj*B=!M}c`%Zgw<!6Oc1Oa^mza<5)gHTh&du<xw;Qj=^sO7<rXcA7ry(c>C&Br9J=O
z7svhyksf&P%?2Jr(tNgTXmPl>O{wKe5&Cj!YVPovV~?ApFy%bJT>~%0avN4lR-&lY
zkNoV*1^f)>&f;4{D9)eJYzao+eKPP~B#*A*wM;>V<|W9J$V|fJ&b;!YL-Hk}@NUC}
zpQw4wwqDB?NK1t76!`VTw8BD(&U3sr`*2r){>Tq3#y3>hpeWgDCB^f5fr<bPoI1&g
zH08KZi}`D2e|va9s-pBcxP$kMFOv-m?uv?qaJIE_cs?Xro6+~U^yc0U_VPmFG;9xJ
zcgvQDLdS2nU#6kf22K-@lLooayb>#pPAsk$Jb;B2LrJ!x77gV#he<@-KD_`eUK}f5
zA7haJgN~?hC|-`^O?+E=Nl5VT)+w1?efHL&8*79td<3QE&+UVc@!Ku|tXu&<%352s
zL;5KZgfb4XQz>aHD=Uw8=JA1+kM!Iaw6GC->*2$PNBH<yi|he$c@pX7fxO+Eb?^hk
z$VHlDh#Xr0q%vhsPftL*(v_b757-QIs=j>rLYkm}#=XP<2oIrxPg_}y`VVygP_`S5
zjRnCogo-u;s*9o?D5ma)84e+BrIW7H(4`ka;4NhUSoq5V;=-ZiyLQ(8TXlW&{|I;;
zK)_B0&l9!E04QhxsqTHD@^UjfI`8^6um=9|m`Yt03Q|5L{Rhsx`^)Bc?JKfmBc!qI
zjdHny@k@l+z66|Y3I%%oyu_n*vR1$338>ENnwXdzHz|`rv&})GYhO_*=t?yLE^FKw
zg#Ja0XQSI_=@`%`AH{MGexQ~kX_x0E!0={Y9=_p=TW%|x&s!w;t`cg+?h<z(+?g2w
zEES2nl$-nd<iBVFQqC5@JTK!n1ff~%Uhmn<7!N4D0qF9|KUcfUeekX~jN-~utY7K^
z2D-Ql>#Em&uTTBXzLU=JLG?cKxr&P1ylAS4^!VATbiLdGB-*tto^vL4bH5_zgI%aR
zYu7y6St;tlBo`^hzQSu(UNbv=c#~f|<&Fhcv#tN0TIN&M5UH*G5-vaKs)ANJ2gaXh
zFLPVa;s2tgr$(|hKtp!@d$<$WX$=!Fha*V9XFAAnzQbZC-4?I8M9z?h4~gY$9zVwF
z06+fxl>Y|HKkhIH-ptgLYx^k&hp7gxe-Z55(#}ry>#UfVST*QgiMXsZ_{lN#E!DZ1
z^_F-Lyy5`d%+tHlyFgEOitVGb@2ILtAfQ9|(4;XW0Lhkx7y<HY&GPK?WoT*vV3!=b
zhwuM=<@=vLJ1*U+Ba7p#)Rw_gUvE?GbnD{*IXT<FbV(do3s1J$g(K$QQVyT5wYtmP
zB@dGocx84wO2Ev95P8rt4MlTrfR*CiJ-qZze)XLMOeG!gUCY|oBM&Gpq$5Nnvb(Xh
z_2gXNM)}6V2FHU3{(bqTm3Q2G#*D>9nVgPO(?|m}vH(Gsvsk^#NVseO_DC4VuXGQC
zCe_+6JnU-0#(W=srR2g{GJ7qySHAo}M4JNyFHHA5FWUwiw4PMHrtJ#01pg5%aO1<7
z@cR@JJ~W-4W;&Nrwtqc>guwvc<AbQ;gqBNiMo!Il0Sq6BasvF;QY$_sJ6ouC8t+zx
z<`|6=kp4A3E-sGoRxbkL!F1<o;&MCUO~Yv1kBWF^W@ZA6P$DvZp!%l@F!+m|ZDo6(
zs14n-2mF@$vOMMgj#jPnhEp>o@OAIZ{M+jNyRM3g1Z=rhAWa44nhoQ<`m>IQ?%$6i
z0Iu5U)laFI$UwVM)Vqi8a&X7kEJBS)Nt^h<ob<lc>!7Z%_IiP?tYCemd}E~@Mol+J
z(#)0vWkG7-E!qQxAc=`TY6IjUgsbr@odN{*)e;0ZOP)P-fZVRTTM^0%E#9YrRjus!
zQ@T}^+Fl`aG%YSw2s_^n#Z%xKrl`2@yUV@RcYWA5Gv!J<5PQ7<TFTj+dD5<v2~7?T
zU5<h`SU3>Khj-sVyRRCMC#4dgSegj5W8;<1wi+bL0QX$(TNS$0T2SVyCW+=d5kMes
zr=+ogf%M#J#SgOlf^YT4I^~1&fCHnTN`+3QNhttv9<?ZGJ}AFVf3+NJt|fmgP%*KY
zivGyw0^_#l;qcxAncf;uw~TfPPIqfo7q14ejZkTUH!>W3>+=P~v{#vd2!A;}3RHsY
z^>N;6^()9Gyj<9cmjl}j#|F)=CLt1?ync9YMI-9~%=ylz8{{$>0OQDZxeQSc2Op{e
zf(X=P_P4aOyp!7b!*_}P50wB5kZ$PSE8bmxXq4r`kKeUvuV7C3vi@Q$rz=>`*^CSE
zNU@o!=pKGWqE*-!wZM1ZwK0GyZ7lf8i%JN>^dbmJEbZ;_>+9=a6+-A(Pm*w!oGa}F
zkPR4*ibwQp?r0AfmFWnUL<x$1gF&EZ>)IYF3#ZZyWRub0`<--RUaLgT(DLP1<$;`Q
zBg%*uz3At==yxT442`Y?(FeBa^-4`Y?j>Yx0KNem=aWc%FdX%T!n&0)YUP7~0d}vQ
zuB`6>K_hqFVQfAAp~;Ha|28^yXyAi1XJ}@e@r2^u!igu$<|};P2Pm`BLh@T9fPKT(
zdM`CM@sc<e90o+Y_SaebAW4#R$?5#D$NTr|v#|LT0&FuOKY#vZBJJIR=JV40azAeG
ztP%%2_~O*YS~;4WEIB^xIrPK=FFn@3tFmA4U!=0<PGs$qaA9RTz`|CDv`T?jtSraE
zMr6TPwhh1-qEMKK%buNuETN(~8r(Vix^4-;XY{UKNDq0OL4FdslJ6cgQ@$W218;QZ
z+eczOFgozd(=e083lT~D)>hZvYxoGyNn&iQn**Ce$AJF&*iCj)8+SYhdI0U-uleO>
zJuObpR^CSsosejob{S*QgqG;OK(1jl@d(ZBsD>esw+uPuLFCyTjckVrGu}WDzNyQZ
z3&<t&TX-<5^1%xLiUvoBh)L)W&FI<K*tp!JcWAP`(M>$d%}_oGfcb&fen_9oxoTy8
zs?WD-<vc(`6XO<OfRJ3~?7AN^0z!g<H`?i`<;8L47RG;w7`W52uU*t3W^Z_f>0Q^j
z<mvS@|FNc~0gAc%E=b$m0;s4B6^<bfy8JiA=%xnjYxg!Mt4mKl@ZS)W=>CCjx;+$(
zseJOR@7EnB{>a--4~dscPAMP6=fwl}hX38IZX1XJjtB^F&R?j00H}D5=`s-2Xa8C9
z`0-<cYws!X9+yin!HCh1Eh{Z8(7}7mKzU8Kzn0A6zclGyiqgSyv^4q@ygb&MMxILW
z|LVry*Q%FLVFa>ri}X`5)l;{|4Em(T3756Bf~_MAb&QN;#|h`-WIS|3Syyj)6%NZr
z3~#t1J3T4?5Rb<%b`Q(BwXaaqoTDb3#}Ubj09E6*mcc7=KD~UH-lV6S9P3k09wn>M
zLNMK@O{!`6F~MU{Q3(S4?8L<z_-m_I07IS_eYov0;P4>Kxc{>qY{V5=`x`Hwzx8le
zJPGQioeWcmsKYP??@{`@2QXzr-A&ZhKLc_ZR&5`UAwW42$P?`G%U@FP%Q56qT3kYq
z)}N-OeNnn4jMC@lV3E7Kjhk9})FT(BXE^orm;S8@0Vvba0H~C}`2ODN_Am{k5jsvl
zlnS<%<4gT_cAQ{oCBg_^nREh-kdXp7yUDyGoOVYTP{%&K4q|QW(`BG}%=xn$BwZy3
zydlh#9iK)%5b=%P^)3)OHzdxTJNNtUj_kTyPGJJ$U#BZ~`rNR*X7NLO76fqUGUm`u
zcZAXOg!ql6cmj-H^;PqI_Qx%<WmVqxe>LTE@phPEM0(#o9hp)Qz<fcrc;o^~l@Xa9
zOk;br5r3mYL)aE)n0v8vC7W}xf<{S9Rc;aKxuz4)1ZX6D80p=OWH-}iOJO{9s7g3q
zW^(bqc*$4)1%ADp!I#5Gp*qw<W>6%4Ne#%&fY5x$xqibCf-hxnx&Ch;L%RzYFGgPT
zx$z-r8ZgpSgh;y)sQV!yA*2H<QZK`ZILcmw+?)YmJ*yG91NqvAzlN5P?BHOwXGA*Q
zXyqw*EVe{Dx?c^c51mpy6y}*PJEvr^;7l-nz)n~H%oIEv=Xs(GVDNNf*&ug*8PN{+
z|5STBiIB++u0;YVd3j=pOV<wS`B$bmOXwG2GUMv&`!bN95+ACbko<1myWCm;2a0OP
zURv3{uSnS!=6twTg_gprrkA{lv{HcD<6Jupq>sh*g>v67F%>@^(at(DMFCUKYh)fq
zh|3|ul6y6uu~1rlTSJ4OsIlX5fEO;ZZpbatG(1?}wFNVs3+DR}Y*m{2Ng-HlN<>+?
z%y)9J<o!;cdeltK`DaR;0$chXD7_b2HWKG!ft6mpq)OZ|<*oRlbAFV8g^@%)64vX&
zf{UQ^GVrPBn0j~{Qr<!{1d)Af?C4m^3FU-&Ify*2sWoWPULFH|dk{C*M#y``wt9}w
zAp1f@PDy^9D31r5Est=IMn*=8L|P>4GT!~xSvPAKIb`sCb();BlWyhG$N2dCsE_${
z_0Q7M-}m~)XR;JRe4=)Jgr;NX`s|HfhzJNUg~FGp3x>>VNF-izoLCMcDhZ&6?l*0+
zwFJN?Y%NFwmBbHaE?)!$&pS?zynHZr@zo%`|C3Ql88ju>WZZ952}4auCPnK7;Z0i3
z?Z^%4FK1`voLvT2hVk`JSNj)0H3Z`_phct&oLBC(g>`rLrA{aW@s1c22!w`~OvFU#
zv|byeXK@v|9?uk;YNihT_nQSSXUvr~)SgHfcMZOP;cWe3oRhNd(>{<&B4!W@Zh?J(
z*qJ-WyzX){?AUwUAGyuMM-m&PX_qK@<XmgytOi<@@lDb7{4RUeBKG<t)jB{!SVVDT
zr1yCLS)e{m2P^_&7)&CKvLf|H`CtkFPoGcwp>)L=hJ>ss%M63${E{Mmt)E8TKhpTt
zXc+OX{1+by$=hFrm^8USQpqm@NA1g)0k#}I&#U7rcSIV)L3>{P+-3O(vsGSRUNy=U
zTt~zg$`^ymS!T!o7eXkkzx|%cdoWgRRpa1Rr;n~sR4IsczF0zh6wuhw_`rpYD^&eu
zEW7ze;(hFh7LxEZIR7*P3fCv@GOr346}g=5l!o0-jJC-PK#yh|VlLX=0WydKSsTk)
zL^RM<?fTVn=9_4&CsYH<=|ePW+Yki25QYVr0kzq$TRdtCrpT=~*h!GW56;y}&efXi
zo?<rwO3mKMtwSamG)<)YQE^s?=>g$HVgDU>py@DA-D)cycmrX}cXJwLZhM$;@qEuS
z#1xqqieDY%^}El5Xt0{+XgB0N7bw_uJTmCqRVPc`D3cd@Rc`OtcKZV5y|BM`bN#d9
zb^~L@+yzBH)oq6l3|>_9YfuzOF2tyV?F3I0e$0tJtoO~t!fB#UDMvQvFnh?Hj7@A(
z<I%nXi+WuStDzE_|5g*1Z|bP6-TgDGt?2}%<!J$5QL*IuDc17k8ma6Xm0qP((Wk8<
zDWrBN<Sw~f*BsAZ$5}?kr;NRkeE)tGWt+mxoboX4gIl1!{I1yBU8{(DkP`26s~hz6
zQ8@zOt?&2yxve4|wK-lgxw3KxjIDWp?=l)fj|4|sGOr|toD7tnD#@)|9`tE-+j!_4
z8%|{@bLXJ`b5INsMwGVptKsT7a>-!B9YOTx`nvhqCfvgc|14fcZ5<r~%AXe@l1V_U
z82wq8gv%@sLj+k}J^?*tp#Sbp<7MwG<I)7sZx7LD#;{lO9x6V$`KcvFZI<@N7AHem
z*Sn`ntk^$v?GasxiIax4QSg4aP(^|1hZ9U#8FP08qQ$uyetmD%;f-Sfx%BNkd+VMi
zl`ACf7qq<bNLks4>RHEeeM9#6dj0@9nx74>oiT$6#6B>)W-u|6ad+ccm~qFU=tmy{
zVicL07fuVGpJ_+azv$=#bPr0-qu}~3z0?uNGkW@oZe4Z-?sJXGBEviaW8f3(4Zp09
zJ(S7<zHv+19$leR3>g<5VsDB%3miCg3?0wdf@OAu|G%w64rXH%0$B@<#c7P9re}-N
zYdsCau!Mo-{rOc+vPbwSo7v7Y&a+avR&VBq@x$t4{TB4_ybTu@JsGiv&ed;?k<BM4
zEDxT!_SkWVa;m1oZ=9v&pMMYHYMO0+bT+O=u42zJSU0qvKl`im1<ZXTaDr$$DYcI*
zU%iG3I6{^U&)$6epn^(I;0{G5VO#_d)AWeb55oe+vdZOh$Mf2Z9Y>QQuixR^Zw*Xx
zJd8{ufXo>y8k4N0t(`FgLnoH2VBR4If~&`d1rC<Q-uQRhPYyRwIJy3>^5sFu+yWss
zKE`N_xB)1je-sgM{ckZe)B%k<ABUfNVj6Un{Rih~&!x*wHJZxokC!w`<lg&ofCP>G
zeDr?@01)2dj-BJ~*FL4dMi+e!9LU9H#i^>261m1qqgfNCt(Gv7*v;%9_Sr%IlpYhm
z(+PGv9j6ncb_G3q4eau?(M(vY$Z%&w+;6`%mO+g3oV0or=AY#`UCnF`0YeDla?TdJ
zE7HLz15*73M)4sEVK&IS5r8Mi0+pb;tsT6~{*ZQjCc=>UU|2J0P|y!j8>wznJh&VA
ztza1DQ@8x}ogYEZB36596*zFG*ltu%pb2Kz>#TgBfMgB{o~EvDl*c3typd+qpF#7R
z(F{v8C`EW>4>Pm)V%gs|hhVnOxr;a`6kfJi18*p@;qkxKz(l`HgqD}+a~je()!PXK
z2e}Oooq;in%_pd89eX_I{0CMiVVx9MAFa+WPk;Ic{+;?1rn(Q^TZg&A!V?#rYLJ$g
zANx&Rp1Eg7(eXr-RtO_jtwUkNiN6E{@kF2x`a@QAeD87HT@c_ud3GO7u33lBgMhLF
z7+$MWN?>MUs*)UzxipmzBL$8@umyK(<kqtXOoj8^xJwW$I4*sQw7{!=zn2fgq4~Z*
zN{=cDV?FaQS$70^(O;hiu04-~h?6OO4PusxaqP1m-O~2PbK^a{6Blu8Cr#V^->72G
z=vEeA{j+7~frE@}KN30Dj__#2rE|Xe0pm2Q9w>7>+2*MGcy)DE%_O|y9?Uelz8rH;
zHJC$I>crc@hb-XJFRy`a&r@QjO_ut%?0ql}0tT*?*DcG=w{z3Wul|r4+W^^<DpVGN
zB*$c89q2cG!Ks&0GFzt`^#2MpO+o`kZ?%<!&Vkhbj58)$`%a*od6qe1Wd9qXc(td@
zzNFRhz0jG2NggX-2qWD&U+T+1f#JwxBWlrF_?6gg5_&g}!i)l#eRj2O=Ne*qpc$!V
zpq4<lzW`E15R8!stvSZ#Ii3w=zw8fkpr*l(1|g$JRd{%o=lL#nDHng39$Afo0Hl)u
z6$v>Mg<fl!g(ycF=$@_Vq4fY-5U$*5(gs$o@auin@9CUk)><)eRBdFYU}F(M*ZmZa
zE@kJjQw-@}c%ItshC)R~?m7fzZIb`J9qieuN%z$~>~~M5J-ezI^Yj0)b=`3}x9$7R
ze3DryDj`WUNJFAUsf2{~l9ZC9(w;`7G=yj=C8McHTAs9bX-{n$lJ@=`SI^_&{d|7+
zU+?=qZ_j;yukUr8*Lfc2aUACt`^q<Q4>NAukvsKBqyD*f3YAafuny1YUp^z4(Z#fM
z#cDS)0Nx4m{2crTRx&YE)3QdX5~~@VZ;Rr5fBW)k(~_rr!+lY41~t!!8&4**cd^$)
zx>(wXA1;}Qs^pWuFk8ML(0}ydZLxDIDs^f^*Ot$qaYgac-0oLF3E9`~@@jp^fxR0m
zW=0Tkc`liJ=W}$eT6=ThI5N68W1Dr`tf}44Kkl0;*PEZ6`s2-A9Q26m$?M;GqMFa}
z6GWn&vnyq!74w}QgbalbNLZ~{qjBhR(EJjKqRgi%wEB;gaE?4<VanxCH}UYtT|m^A
z9Gf8s?ypq60UyM@QLR_7z{80lbKFsmGh_Wvs4o`e0dDj*u)ji_ZOKqetiJHI^JFxJ
zWo_2%&*EWZGO^dv$(-IY;m-S;gs!Oeq^1t0H02SA5Kd_QD(_T`_JK6WV9odCUA)d(
zdXJ|^-vp+sX=}&A-|*j$MD2IS?=i1qVruxd&G&xe8<y0)TOzlW5>*wkaP8!hZI*(`
z8$wDnpIU9MxR?p|g?zbP!H>q~G2rr!jNWo(hTCtWAt2v{+9Kh5CvN?~8YeQE7OzWa
zs`KobGrrW8uggg~o?$l@nK+Nrrq*tQ<Z40>y0AFwCfpXx*p9EQn;z{xdjS)))aus6
z+zb6n*$AkXWv%76D(T)|zZLwSmYLb656ij7a?<EJ+r1f&d244_E?0fyTQ+C;mkWdL
ztjbL`!xpc@KMSHKf)R)x*7_EcF_kq=%vat@-pbR$P_e|;32btYm*cO*=XTQ_AGSO+
zm~@s*>>Xnr0W1@9EuAE5T+Kol*g{5?s=Rm9?>u76!Ff|D0G<KCme}Sszc=_ct|7;t
z(hfqFepjiAH&5gaydTdktV~;w2&U>2yjJ1!x}g8{AxhF;uKFH&2JK-<#V#D5eZJhp
z{55Z>rM#`$AxOxDUf*5Qko9J32>WW1xV}jg+q-u!$sbGVrcZ!&<Er-^Q+&CCEr8?c
zw5L4wq=~^GcI7_Eh+`(iZ)05H9|6(lvHdf9`ByG>rE027JGL^>Y0a#u*&gck>{eav
zMvD3)g-aVFw3Z0?OM4`&JMtzrc3d`E*OZB=$H#;s9Tpk6C!lJ`d0_?v8=@2EpXzzt
z!`$uoRy`#0eWC{Ua6`piFMDhf0xjKfZ`WE3D&-o(;3Pp|+uwoh{JqG?KARu8)&k2^
zpXVyon3XLx%@5;Us%%rE7-|wZAhvIimU8|eT`#@N$&)d$6?<?N?A3;v;8AACGhVOf
zT{09FrCuh!FdLoM57o5tjOS+lmy(uV2+949_M=}noV0BnCTCQnpUnKmWc$KZ-dw!A
z+TY%z0#F+qjACL|=R#OIZEI_*i7A?6SDS!hT9RbwpO0z;V=MDk3x@X{d){8I6Pt2!
zP_Er6Vm0tuOJekE1OM@#Y5mJ6JjbUx`X&=X1qSzTLkX!jP#^DEdk;ATG2}~Vb-uMm
z=m%%?M+~@oX!+%cuC8vaV>+HBvDF&mhbqsNrvXEL(`rIG3}l{M@+WDy>m)TcX`H=A
zEpQtz5NIc_`(}QFYPGgk3L#|l^8frq`w)ALCoa)*Bc%$R-{kZwGi0n(&M#MwoBxz>
z=<l_ZfTr7O+3V$W)YR0jAQ6S&)SirVB1m+Us50dHL3Vv_h5>9|axB4UyY$A9WUHnt
zi6@mwu8@xe>{(4F(oS{wH;SqaHet49y-lZQ_-=MxHq4uiOmxCX`um+;hptBC!<JeU
z(}0t*2gicT)1$wAeie6314AyA?YNVa2S4+=<nd!R+KH;u+S;v5-eXW)ijuq2?%huD
zXqE9#;F<mV*`|0#nbkW>NS)thh3%yd6~6FL;Zx1V;haI@DifieMg4*T*c+kRB-bvA
z4ES2#YMCzA#ub<Dt46XvguC<bfe<gaEyKR6`x4#yVI%`NBnL6gYIz%4PSWgtNAbxo
zw@MQB0Mk<Qo<NqQ_jtx}BCX9+^41Dz3;7<v>k9!jnV8LH-_uXpp(Hd}humeg<McY%
z^YnFOWYOgk0z#5;yM|Zfd_G}5jOI`ZhUjf4;}DDZgs_a8_zg~EG{G%7quwywQ`u(V
zYbDn_Gbu1Li&CEp($ZJDYoaIVpYt-YOoR*C>aEf+P;$0;SpC|f?BFimw1EV>ckAG(
z(SMum*XmG0P3#A1DixKr{jD}jtPSAH5-zj9t{F6PYcTv`Ye`ZuRe%~2{;=0aO&wQ;
zN=HV%@hr6P(EGf7ETnpk5lNJZpw@q<xVX3wYBVy}R}WLpJdki-^t<Q?F(T>5ilIwM
zu9W@xg6GW7IME(^5QA~X!laBf<R&KO25OH{*6)5C>c%d$gW6H`{WaZM-3^P*`&hJi
zjG~ok%X9=o?6BCv?1&A}_zvv5%N4VWbFN&wnmeYm4|@rBxRLOg$fSq<fu`>1oVkg%
zt>ROK3Vkg?=n|jUR#cSdnj(8zifaS|N*7Z@VaT=j7b=kaasUHEQ8{=&W>q<Njvf<_
zbx0aOMyc1NDg0#HX8Yi6*ty>e=c3;-(yYO>Bs%41QKaz9yrS8(<e_7Cs}3q^Xha28
z99zwlY4yl8Drsqj`N^kB$dMVMpqYgb+D9!Q8`CUX*gI1g0KR*Y4#Q&P@s=waCUJ?s
zI6(HMr0<tId49Lut5r~iwsaJ6#g*6v9bJ2n-GbG^krlax4esd+fZAdc2LS+h6ctT>
zGQ@n-&J#A&Nzy2G->~O?L$+1Sjez98^}EK^RDFbmZFHkPvp;xvdA)ESOu{6PgcwCF
zt&A!@qV}(ckwM@fRA9e8sm8UluESMd6-dRpe15h*ZTO+7DJ%1J9&hv|UumtaSS>QK
zl~rG4jRcL5iKN;irE}7Cr%qMAFgb`I-7oqeq<gM?owFOJd5Vioy_lL8@(YrmMQyiJ
z<oef&*PR@_tRbWnyUL6l7h`_8`{S{N-jUbXiG!l1>yrZ|_ao}GuTAevIR?6LU3wyc
zF?H1=`K4O<x)@KD?IsewL5EPcl_ZGxp1()(Gbi+&4%nIedJ2j}|Mdl$@URabI0pB-
zD0e(l$<IF^q{TJf@>=GR-=i0JjGW_##_IGa2$qd*<vsNILdIiqY4nCd`79PEh_RN)
zGuN`<L-}MnM%!fGfeYW8Q%kE7yW$(*3CQHwjP92pBy}p6=12iX%FJ8&X^7eT9pAiu
z{W>uwDM^6eAf*%jkFmp_L*|qI7L+i45Mo7@bVY8z!q26evcIWl73(Js&%C@t<=N+{
z@G^IcspH0s8Ic<->WMdQ-IbEo&QB_)xF`kei;{g}$p3sL@sDYCni)hQnACM;r{pS3
zskXa<vBM{)CzDLu#4v{QjxcrzljFeDNN@f>1<<0KsMVFp{&AA}5+qhI)&w>l!{yHN
z{1yw(V}8=5Zj{SrAx@C>*FT@EGYne0MI?v#HIz6@V3ead{CY$@m3RENz!lSuKXdPI
zI%IaaQJ)f1!Dz9nGdo}W{<FEeFSJ%wNZGAb*D$3jpicBC3V$2De{jEHxbMe1>FMbl
z!QnUqW;q*Vh~Gdb!notZvKn<V#nay-RR<6r#&bV8w$&Mp40nWrLujbANuMP{uEIk@
zL(8U@t`*)k4%4U_)(K1>@yY@e@4w!+1~V@;a$p&<0U(LiAXBK|`iE8S1L-4W{`zvq
z%i#-m0sDTKRAaCy&;!%Me+=3SMOe0xBZ=rG1y3b@@zoC()?2k$*467j(c0htTf?KA
zFItX4JQ5Fg$EdPgY8Bs8CUWuBYb{~<SI-}-H9MYe+)0tB6$@6PPm8Y8$$zba*<n4i
zWjQG48IjAGB%K-?XyAv0e<P~aD}=-0?{TL*=wPB^UaNUAPbYvbPvVVC3fyCx6M6bE
zxEt8=L9=Q_8U5@H^ApYs2gK$lJ8M|u0E@)qUy@@Aa}L2(#;T9ISh|5&#I#Nkd`FOV
zft3F-?^;FZjtv9TGO#@1%_`b~L7r{|OaY9PnI|X_TO1V=6LT`{FV!t_tCW1F6LT>A
zh8_ng)nExlAhDF!CRVNY(0E|Kl*J*lIL|=GvXszdaqGjT>UaBff+_|q?7owoFgDD3
zkm4in>;3Yo!{p}S?&v9_Crgs3WCjs>hE6jnDWNP`B5;#c)c)Arn2FEw6!T+oyjwaL
z(_)@jZGOR>`gQ_PU%<h9K3j!Lg>`!~Cog;xE0i02*K967JNio81jjqn4PFG|IB8G(
z?F*L|(9qEEGj3Dxg8|{!iszrIXdbM?>}9$Y@u(j25d8vEH%-CPF);er{0?e&8-&aK
z-ZilMSx*Lx(lat*fVd*@_tDnY=J3%i)O)ndlfAc`gVB8ft+58~?bL;bQFj~*9wYNP
zJ$OI7R_r}KU&^k#VQ<FhnG+cM*;5`8Vw=f<9>>Cbe2Z06E?7YuS8lm}+5k||;KC3W
zg(7fhSKGgOLy7*8>G$Qgr6{F6aSQYN#v3n74aA?SE0JTDxXQfmiWL1ztz{H}kJ-{5
zdbQcoeD75l9gUYF59~zwpuxMEZAt`D?gZsi5&N!%t*9T!Jlgyp?Vkc)WNtrtCkK7!
z5H-UFk}H%{`DTEKRw|@ot~hmZ3jMSCD;7tLxBa1`aye#!n0TGeP<gM@zMU^i`<Z2i
zQmnW&PlwL<eEMm(PA+X3#qjMt3-{&HN&E5c_>8JvoLHZefI+&lQVAxOJebh)3{Eq`
z$e)>$wJD7pk{kYu2NVH!;{Mf<%=dv>Agw%ekDGi5uP6URn+TB3?hP(1)yQ;I>octp
zE+lT9e0G+$t?^oDS$8PjByg&|ek&xosa+>wTNIv<kRaDHP#353@IH-1(~kdn0=~<$
zT~C$Xo<4Bn95;828~;|D17!!Vzfw&<|5Ap^yd+fDSjMR9mDUQ1fU4qD$J4XtSeM#c
z)n+iTTsdgjR~;d_UOv-_OeO|!Y!IbK=F}q9h->Is8fr;L|NFR0gxerV5}|(Kw4~m3
zfn{S>i+$jx^)%rhJ~ZxFaxlzdL02)rY6InM07p3w1AXNYr>&E~3ieB`FTQhxT^>o$
zWlU?R+DTHfTtr|x#F&#YYbolC|GQ%O+W69>)$ha(2#vQ~ovYV3%;z-C<65>fY8R?A
z_d{zc#3<&qFAnaE@1LIEYkUgBchz|Rx==WXG4QhT@OoK%0-lt5HZuM+LPrJzZ$SZ+
zkKv`L@A~trqT`1{6ub*R_kLxsxNun1&iq91fo)DHofVvWG<~cNemuT<(_!{KBO+fn
zP!1YPs_D}|QkH7F8eGL2QL~$qQ+4q>(T$8yK07l$s0X}Voovnz*l?Fps3a_Yi2p8o
zD8>WvDl+|S6&?3OL=MDqb9?fSw;W#8TY4&u<@|Eo3tX$NuXJHKV0%h#R7>S_P9I$N
z)yWssfk7dy{&QqR4@HkE?|L>hOfJVLgO|#T6n4y>{qOTO5C4s)W;QHAcqU{h{~!?N
z?&bWSc~`!c(Vvi<ULsKzDDY0$O7opgqkfVNQuJXYe|6NZPeEIYv_xpMlfSji@AeUL
zX;z{nIoH3$W#fiF-u_1>|NR!)_k)F%7;i8{MSkEYv%hw3_WMkebX@Lo#j|H0TFHG}
z_|}l9@~F%5GeqgF%^mKX>Pf<OR^NO8oPlp@>ws2pv8yDz&MS~8(TsXigPFy~JZo;M
z(yk(d$dA3ds_jkj(fFU|I>zd3lC*Zo!S+07Pp?~6t(+-?TR}U0W_3_PYILg@+bYW?
zF3J~vHh0up4Q5vQol{oM1DDf}`lhN7{RKd`Z&oC&*}VUv(fS<UxImK>wNczT$pMs5
zzT}2bx31hg<SdV;)K8yYkJeqmi_>G6`!_v47&zta{I12y1Fk-RUw@wg^`u?e%nz+F
z(ZT*o^(8*bjK7CJ#jKPvt2`2XD`|`=$Z9#I!jPkUw^6d>1`;h0sTR){$My|{DM_PX
ziKOmx>oQJY@4dG~!npS3O*UeGN08`dTzO>rbF|lHOj;)>;&4;jypY8owp|OR+PY@x
z!|hT$ROUrb%P-|dFW+fa)fy<(o_^5i$x;(#viWt>S^;}eJPmrXr4`i`H@1j$e}5AQ
zMk9c89d5=I4;*mOl6bN|`GeiWcP-OxIUjE<JsU+$sd|(aC&cs>>5kjkQwMi~X#h%)
zP=BYd#623`_uI%cSJDRQ061Y(CGvYs%nKiy-uLY53qVe0_|~81ct`Wy{G5a0_1lm4
zmRC#4{{5xBUrJ6pvvq03W%f(FPGaxaQ&?Jm-tzGs;l@<VfW=qU0skH^z=09UDihyZ
zp3vM<{b^a?v;6^PW2$RWDyovEQ59wMk$aqEzD5#KM|D=S=kKJVLu=5K%oTG7yx&Cg
z2hY-tgsW*vSG0R>4d2fjie^PrO)|aGBTUy7kDM>H>=WlcE<o#|Y*5wQ!LX73L3&;=
zu-&R{ZaWd%w-M`;f8rInNXR=pvYl+!UehHK4C;=jrD(rjBX!5VZ5O1S3pA|ScD{S)
z_%PmADiSqDMB!!lTKxMdSiV!gd$_~C^E2<#^PXCBIWuOH2ZTIN+Vgr96&>H=YTy$T
zrPv&wrM<MGuSE4UL$^m%xW!$oQn87kgBIilU|xmx!zQC|NPkFE>YsBOjXLE)NJt14
z$ERQ2@}DY?jKm3caogFx9&=(^t8Twx6}6k~^<JHu%ZDBoDRer45|<CW>zeE`HXk6(
z7L>{=vp?>NpJ<1V$FEP)Y7nsY?b#EBdM8xz@Q=J*@x^(cI$TcL%gDK_DBnrB@a4;M
zMgO|(gZn9=l{MAJPWY?P2Cn{AbFqczS7byCIi^mUX~;i^|5;V^shlthyyCt3;6f}$
zKoG|+?svS@wqy`^5NyauW|zAHkYN=cK@X_|2>uPS-Idh0ZWjj#$nenMH;1Z%L3F(D
zE5LfgbEXPUH}Ll`<`0cG?_1UT%G!5J(sI!iF&mc~F;Y=ZUM!leI!5iziI~c?B>oC#
z4oC+(c&4VN{4MyOEF)KJJsPXQrqq<u*EK7oNhV6xE8_39_e@e6pno2SS2d1FPGH($
z8xM2LCpmz80;yd$fiYo_PEu!n3-&+K;>LiYT&3Yrjjb=VR!D>g3dM2q+Fa4Rf7oV*
z^VySDYMY8irR&U35kr9N2I(*fCMQ2waPHj^dmQ;OGKpRPykPcT*_TED5j2>V#k132
zAh$9~uUBZbR=D3{BSYl7GZnJ8lgX)H0j1x{SI4X5&*zY&0}iZub?qNForK2d&#wyM
zudgd2&k(qm;2tU5Kd(4^_m=hj*^Y(}t39JH#kDF1w4KzUGECkRdHDiKyOONy?A~D-
zZ$5#xh_jyqMyxN!kc{(IOuiPJ|E?Sgqi~G_3pz_B<ZCY9VrvCcp`f_9I9>R7Cb2k;
z+DIEO1=K<h%~R55=G`)Z>fX3I;P-Ab&qe$|p5?+}JrzEb_rU%NEI_pB(NU~5Gi0B;
z>*;o+Wm)LsnG4$AR^4Lr9icY`)z%=+2;t%1J1eEZpc3|~264+N1(l(02&Y`6Ug2PN
z20^3PF{{mKCT94l&eqQU-vB%%X=8a7zZg)jfZUe7&h%}qR|f0tZ+(a4F|5C0liiwH
z8H#$w?h*M8X6Dte6P-{gon)o0M2dUjFOvQh`f8qLrWkHHL*qV47-Xmwt`oZA$)6oz
zZ?8>VAv3OHho7ReqWbN3*NkHFcdt(Az4A*Xa%rnw3`Y9$&+1LjwhjlH#xc{-^z<K&
zzHus8BsbeCV|2ZXvZ<4tKK+xuUaY}~xZll#`)QbT5HUMLVD*KD({6dfA+!|32K)fD
z5j+7j@{?}q`_U@-PB1W(!o3K%`INtRA&ZJ!EMyDU8kPXpt@Hm)1`Ca`Z4VwcdP1of
z5DU@T<ZNf|aR0Djld7=wOBsst=g@yb_dHbv2hKQ?#@eBb<`3jhASDS0lGATSiYLuY
zxLl9kS$&VxvaeYvhTqOCl-i+pvv`FOD1)4paL+^NVs~dcBMqptDM6?Ca>SqSWBJ~6
zF3u%}fyWt?^86>V=%zAOywY0L740>52f#T+AP_I3KUxDl-p+x<@>uHy(n&&xZ!4j`
zce-=M76g5sL}%$3%9(Uzu!Mb^kK&evaHRE6869CmN75L0gPgh&OtpKYi`E_*Sf9Ve
zT5}eBWOoG1=*st`D}lj`E9LVQ@($1b_!MqE)cyHgg3{^JKAZIlZ3^pNX#Wb66ql42
zk&z<WtaEZWST8uH4o~H-%c9G7xD>UiF_s<Pv4@#_BDys1`<|K`qj3?^o4#4~I`)mH
z)s$^<OxBNV8h+h%uyH;`rhJlHrXG!I{_V6=Q*U&(vcRPJO~!>y$OU@VU6gmKR6si|
z-}6B0CSn0fpkrf!d6YU?%@a891?krU;L?vEU_PLt<Cxq`5P|camw)3a1%g8kv$ova
zYLBcoQ{JR?x~}UOY)Gz*Fs@6IzY)Y|Sn&4siG_eyl!_}1Ds_1(u44;p=VDA9xlW0W
zRZpUD+C(7W=&bo^ETW6wR(gU6<`QCW#9mEbL}$6|9i);cNF-q*@abmXu3>TxaU8z~
zhv`e->hF<?RjA?OL!g~BC~Y!TyEno0)0PzUB=^h1?e@g$A=#uC+8igeVjBNjWr}$X
z&5)M@0t7?nRJ=}(s9ukBT&p9R=jKNyB#jsMM%tU@5g*o41U^(>*hCr?WV8hfPQx(i
z)AC)eejTB^;U4?G#XN!F0H?&Jx`e?o2!|L(%^SAI`R~!R>mXtSbE<Wa>=8=0f!`XT
z`fVx5%r=QR*jxt|pQw`nqRqGAzgKR}=_-8qq}ErJ_TmEv=zQe)|J=$uZ?aMRCccf@
znoZsGo%}Sfk(+Isn6y$kETKtajw-Zt%G}AwLGKn7$<&hezgaHL9bYQcl!IJ!BbwPd
z#0c6Q&}77o4RV}E0m%^T%?xmE4)jQjsNApB>Mg)<*Bvd6?cc$85!p_E5AwA<P;>f3
ztqR5N>EGh;ZOWR=-MgRa562c0IbAcg^oehb_}+>RZcZNWL{^6b$5<22a%=D7A2bh@
z?yE_&Mgo5_Z8gQvYUKEyu%s}M1dh*LKSc@MSm@2r0VdW-w8pl3iS)gW==WQ5pA--*
zc3+<_@-7&4E-tM2gar<uzCUUA<5PlO-8=5Ia@xY_Piqfx(;faD^ebx9N9Xf_xjw{x
z<T-Qlq>1KaxuRlyrfFC2yQkiLM?ES{zY-3COSQwntaB4oF2`!Z=BKOUbh1wT^$Bnz
z1M;lys%v-kk8UB;zsT9?ByAlyZ!3BE&)yg$0~HAhivIQo&GR`4dd`k&%H}6}%Yr-e
zm`(5F=wy{y{kO?nQoc-C=fBcgBH>{@lBlP5MRMkAbE<q}ghX+bv25c;io|77mc)o~
zUbqK@gXfqx>lQ+g#IA5m{pi+Zh59DQd49@&-#x-Djp8FVv3WW7=*Y##ckRo^65$4J
z(q<=(ev1Lnsp@hTIf?)Lg3xX|$<xaul%Lr-pP99A&>bD9(a7J%hTac7P16`g1UE)+
zcGX9i#&#JDcP%O}_a=xr0s9Gf-+>KTvP_y?o{ic}Hk+A1fx@E|M;F<6x}WaETrYv2
zd%i29_ET#A#Wb+=K-+x~jbtPxCFvO$4Dtq$LX1MfMZ(aD^SR0zCXe6z&a^^#0)<Vi
z91dD&BhGc*U-zoSD~gdm-)QCvtLumX@b4FwD}Gppv6rWArX*?UKd#}+dcihrIrPYC
zH${T0^1>}PzfJou$`T3CFq%LjUgGnUCxmnAmhNE1&RJ|^0F*4geLTsy?rMY{$KUIS
zj>6#gZaH70Z8NdMWQk#DDot_6fOF>7Ue*tK+yUZe7Yq|c#x<r~C8<Jro@R!gfYh_X
z(450-_)y!_DF^Vk7PT38>HJhA0I;QMojF5$Dah;?Y26KjSrVbe``;#zi29kGhCCg9
zXi7?TIjQUJyH}OX@iU6vPT@E>6#hali@?s+rJUUIfQ4`%-em2!{93X7m>0|D&U|lg
zTso#mRd?dpKFvYexPh=)^#GC^J%LN#zaO6w1{I}Tu5fW2GM6B$xwGM&ogJqL(E^d!
zK#)Y@lK#+sN|NnoMs9VxQ|uIpz*X+506{l^<)e`EX`MI=_W!u~jScs@W(cQA2n~<-
zAj+JL#aMxVKil4A%vE-A@^UGVZ<#1)qU*R<emqR3{29>4(w8%#$=8`FY+(*&mL+>*
zu)jhFS4eZ4;obxJ%$bE~u)=`R`n$NXa|3f|a&>hbPHUUvwZaS-0w7lLg7Ww4t9E7l
z_&!PUaKY9P0sgBF-Nj#9OwZ%!B)<MCBKwN!%fbnr(=Qn*65$2kLfxc5eCi+_43O1x
zu}BZ7-DJ6$H$Av5g$T@R)@+uqpZyzBrxdix4>^ZvQ9Qp!-Ruyac)(Ygv9R7TLaDzc
zP2o|GHPR@GAs;!Ko;!Q7&j_ip13U-oW;9O-Yp#3A4q8;di!&f`?pX*OuBhf;C=yT5
zbw_&RV?Mj=N2GeS+{2)f-!S3rp4+m5cdq$RlF;0p7*g(6grPJ`8EuxKxCmBWzRBh{
ziHw1X*f*nY75h1|U@_q<9<WpX=aS2K-Gn!o|1N88a1v<zpGy@gZ9mbu_kx*{B@R-O
zx{BDmwu5#h54u24t#(&@y==dxQi-B^Oj_w=3D27fI?8#^<PTUe0#+02d(?Nk$Qy{D
z)+k<aEFDPGBHC*7DwqL?&YzpCf-PgJ{Sry*`dTI$^M|t^{rp;+A%k}k{tX-=?kja?
zWvIRw8*p=eUi_A#P`8~ah-)?|96S6puHFOq&&{~$0h+Sz#<8g!WQ!5C%%58<wA*&%
zlN|XDj`XQ-qwfb}zE!4~E?^fQ<1?HTQEd94ph4wQvtNsx$-mTRO`Df5UrrDa8?+TW
zQ3Vt?pQ;tiA*RX1;)IN_()_?n?IG*Oez+qlF4KL7moOWd5&)OQ){<Yl4ZbBrv-{ec
z!+3=R|CD)I_WLix>%uNAY_~gA)?Z<*O1cgn0^!#bt7qG!<3Tq)c^ZOVBZ9A(VMJtJ
z#q*<jA6=;8D~~bfq8m(0m~TB+3A_z{0~XM%Nt>As@5vto(n@-|BtoExas``o((Zf?
zs^_hwhe(vd$TBNePy9Y{q21Gy9&urBUvQ%;ZhS<ltdV)e4WcU}v{pr@fab>ey<TM{
zRVeFYB|*M-^-~@QjVMa@?)4_TT0V!#AHry6bXLl2^#tgrzl5bv!`GxxY*)~=BRx-v
zG_t5jdG1)w)wDqdy}bMP7U_E=_dYMhM(y?<aIqeKy(hBj$ig9vv-tNTAwSl0mkuE<
zwDiO11MAMHfM=B;mf<C>U>3fp%3anUYC(Cs<TK-6`pYQllBaW!hv^|SdZ72eAL9Yv
z3#?|NHdSp%xR{0E9q-2*jrD+{-9v+RZ`8#iatD#N_9VKS?=@9(e9Z{7M^Z%=<j{OT
zmkqxDK57!hKYLapGpf2?C%-kfUq?x%?rO{7^<9s?->N-MaQ4c~J(`bj+9bT>ML7v6
zDIRxe-fe2SzS~Emi|UT<04hLF5Q}t>Jk?4?FBbT`|96_N2U4}r){kx&70X60F_O-K
zRdd;M=(p-zBGzUkd~w6}WQ?{yF{?{U3|9$pGRb7@^7<LO6pMt;ry9+21e1d-^n94&
zSPv*M?CslqBXbGu0Q`>%71PRRZ-Ey{Cy44!q^aL8k~tDQwAd*ke3R?nn{5}<0gyw2
zQ2xf(C~M@(@6D)w4GXbfAH#bFC0grs%7W1Fp-APt@Lz6Ln3X3JH-BsF7DJqMNT#A+
z-A)3nNNXg$7h&LyJb@s$?QR4UJ)e13!3kAdoNT^t?~s&g9wL%Fq%vE<a`OaN2-~T=
znH3ZX68?tC03c92Q?N&ffY}V0xZrC)G%+vsZ5DTO7(gqr*j1Vvxf&or{^zvfbKey7
zP%?W~|GxWO{CZ>7?Rtp<teA68)P2%iXdGi;kSwk>{VGBdl7qUn**_8eDdwt|B{w|W
zrBFs7m3y)`H~DrG$%aAG(shS@QZvAjI|k~?e#y044q25nx1tTmue%0BXYr2Wy;+Nd
zm(=rjyR2y0VG8=GEp!v#1t}s<8zw{ia16Cf&*$Kw7z3{)$Z3L4=Gpvv_MwYkd+EAe
zq!Q41=<sY#VO<8@$j@mhsJce)GQ4^DY9Ae?ATQe01M@)&GD6)@s|$cW=r<p~hgz4A
ziuSi}xV7@qg3Jwsy&O_xq1#qmb^7j3Jr0ZLSa5HJNuv>bKYns6THfTuQg@({s69CR
zJ4sPbI3R8~xjc<x$oej0A8%`LAR|~&HRkG%0NltZ&fw;y!fN&Wv0CLAS5Va?H+h7%
z<SobFG>cFs9#@A+<be&S$91psNR5lOD+94C0Pj^V_3dwObC=r47tx2so*w4GW>LL&
zDc^y0!Yhzb)PACJm->ClPcl*_cCR8S5~uuC&af)gETnEaK#@2KQtSjcfBSFH$Y(R2
z!U_wrj!brX>)0LIe84}Pk2C;=!9+WRc{|@xepXcd0oAC7D{fWry1Xljl4SG0%vp(J
zcb$&HX)fX1S!TXh?=`bP0bk{gVL#*MZKjE(LdJ)CkW?l&PoQ0MFK-mxe*qFWPHdCL
zOJcIT^6PA%xa`1wBd=0z52qUaCDBRk>wSl$%4L<DoSf*bzxFCpTvj|yK8;JoM^ADC
z+6cvtZO@P1#Z&a_IXHUdRR9ShxM2r0&-WnwdsCVJn<6LM6o>$1ejN2i(88D3oPG6s
zEfU0D=vGv;#|y`0^emNFTB7-07Qep6w^7FhoYth~i4dT2Ox{yqZt+gc0W1%HvzR>A
zYM2T(O#b)7DMqhjWA9n#DbzZ+u#Ac;c;8#cXyryQJFQhFr{CRJEL6LK)TFz~sp)!M
zeUlC6F&Nm5*7O{HYigd}JSGKb*d0Qfs}>zpK~}o|{^g-OQ`dfC;Ic*7Dv4OT+2DJ_
z1^LpI;VMH(^3OeY4~c98j<v1#k@7idv#AbbG8FUEIE)a-O!%!3VaGfebQlP(8710^
z+Itg`;#Lj&1^>o@Tn5q?zR|}lDKOK^db+VLQy4(gRwN}!8yu&{JrdG+7dNj_?Gas1
z_>M1^X1QJ=>3{mJ)X!v~Kx@S&zmWNk;h-`0oB4Jwj^RSG&;Rbp<NLoCUt&D(R8XWA
zCFWz0YXslV=X{mPZ6I4eU-R|Q^<Yx!1qntOD&qd89OO(6b;CIncAEYia?HeJu<ETF
zaR4Cd1!j{ZMS>a-Chjqy^uc-$ErAGH5svO6l0dyHXg$zne-ofJs^Zg?-UK`~8lU+c
z(|n5asNIpSA`#C&h$LTHYXx^k#SQ`2fM>S^8322gxMG*M+%ev|`vW+?o%mY96e^i0
z-1^Kn^zQDnFLQQ2(ezcL6}1~J;4Vyo8ooPwhu@k2)iCR!Rx&qDU}o-jU?|Wh?U(j0
zBdnpsj<oT@iO#nzLibATm8A9cBj&4Ki&%f7MVVKD-0!4?2N$@*LO(~A+fz{*ioNO4
zy<(@MuY{Z-qTl!9T@)Acei+t7rusRI)u{M46<^gzaAupz1Vw5Xl+awX!q28(`fuw{
zQhQ-{5FXu3okNMK6mOdqc=qfZ15^hm(&*LwB|p{4&5XjM-Ka(|S@Cp_wHYN;_sqgc
z2av(s2)uw@o^hh$6RrG`ZOX~q4_FSN5LskhL7Ff3t@ZcUbj6y{Wu3q^9#C<JF3UYo
zduG4g1aoM)K)_nZJKs1c(a%$JyY2p>bSa;fx&YAaKFR;VYNm%!zWBBnH#1W_oBVh`
zn0|!oz6h~kz+5A@;O|YEB%~)E7=Q#pAb#_RM`yZBzVyWW(a``wzmSlv(!tYx?D!Vj
zog48j0<s=|xy!Qat^*uq3EKLiEKK-o=&cLL{p3Gw%gkhNT6_4%M>3g_Kc5Ik$O<P7
z{qEaHlrbGrL`|-7T3c=7r8e<BkssE%1K><5-hOutlgQ!7Fh?Zu=&NdQqZ@DdlwqRD
zh9v5MV~V+nOjR1iHMi>9Z6hmRw`SNcQun}*F#2PBW<}(E^tvlv&Q8T!ckXIyJuLK9
zohWJ06*fOTal_d4vpUuJ(o(Kr@jVouPRR{APnI3|%k}q?8>)XcV9c3y-PyRhBCmO*
zZ*sE7z&Kxw*~+_$c41w`K93J;tM^k3mywpzdk3@8ug#L;m?qG5>D}+HA|<Bbz1&&k
zJ}!^a=ZCA`cgDnpS+~uzE={O?rIW>3+#jt+sgUhqQ2Dx(;v@J+SAmlAz8rN|lD<yK
z?)x-b7xvkWZ}qj>-Q|{fw04m-q15yE5dam6&rwpI{rare+vW6zhGL>=l-ofP<Og-e
z*BT>ymR`2Adq$Da3((Mf{v5QS|M`<nj#D+uDf@YCCxf3VHF2S<6t|-~3ea8rTdj31
zfQAI#Ns;?N^v|DXqA95;=Wx*232&+5=ImJ8*1SM|<1jd>7(F>cBXDi<uU9W95<9ri
zquvu4Iku5f;2!$N-3l3Q4h}3uf@ZX1<=Kw!6TMP#VgMao8D1W3(<LE1rYgO|eKGL?
zr})?7QC!F$zFGXku?CgpX5T)CNFlQ$f5--YsJqBt>!@5_?u%Re!CU_42M6I_qimpS
zBpo#MF|G1>`Fc;b73(y(B7Zi110m){YAy*%1AqPD9c0*vh)NDb(luO!X6@oK(voSJ
zm9fD-E-BGXF71myv$omypZx59e`d6~nGy!i@*{UB*g)78tszgg2B%#I;qT0uTFcPZ
zr4n?zIb%weU8kZ%|L@XV`8nF~FLc-C^GZg+Yo!>c+p`Qi+;pYUrdjjxoN<Yn`13aa
zyTg9wPSa4L&&((dp%UowJ=G@iL9JI~;gF0#zr(+)CJ<Zxvb5?9h3U#{b*h=Zu2E3@
zP>-UpY0BD^4UTtW>1e8Wmr&GGmq$FVjFKnRKZ^SM*(93()||3UH00z)da93o{yOIv
zE-j4AeQh>%V@TN`D7u1V5=nM6MSDnkUqFQ={O{BF_TFdB<*Y6>aFD0#72SvNC}ZBU
z4zD<q3<&?tbxIU1TZ%f_RT4t88-Ire=$fwdMdQ_nZhYUa6W$pf=2iK|q8C@$z11vY
zY;1cKoT)<Z@o>ge>ru`>{&OoQ>C(Nz)e~xVSg0@2X5eAi*UH2vekn%=r&pgO6%ZZ6
zBm85E@=0vxUmpo(rPJqVM;QFjPo%^YkjDR-z0MmlX4WBsGbti}0x?-fbh(ScX=Sx7
z8$F`Nm?)~d|7T}a=NKiDBd%=NbJJINqMffYX7T2Iu$n1F`CM=EX9bEO$8!D0c55in
zkN#&f_a(kbtRjE8Cw0|$!AiKC)KQV9yw$<z=dnxg^lzsKgdf3oecbau`!by46e63%
z=MU5OCiJSpVnOMai7C_d_^?`*Jm%R|$GOP+Fl_&y#Zg>*ixQvhzj!KiG?X(+Pq2z6
z9a=foFTRbT+wv5Fdd~j4K+vZBS|5r8vmnHV<aK!3*k|8=-#unjnbzil*Kxycot8{F
zCDfmX6WfCltvRD~h2$fKd_rkoQVoKK>P@HraYjg@2k6fSGCe0ZH}R3iV5)nBPY2PQ
z!8b^dqme-oUi!KIAaQ4>6VDDGgwt5y8-5&Vbii0i^NTbKP;D{9)WCyc|3pS;=r)VC
zL)X8qN0#6Q0mmiQK>W%0s+_`+MXerOk;Gtvl31eWbJ!G|6Xstkti_6wY9))0ZJB@{
z@a%d(7yK4ZEkqSc+I!3<yoOhB-ua9^;9UijC)rAy{jJw|q3iD^nc;MQ^^hHrY3mjX
zY6}#P_X7eN3(Cvo)95LouC%`yJxQBDP#Ff?ko#IOd@)&GCqBE6Fw4QMi)063g?dJA
zn*{BOx6rR0!!8R*Y9%=s(SO(gNLlQqEGiP(a4Qo0oe<9N6A@4RNZBD7UX3I}MJR%H
z_;-WDT)2!sTK1<fNt_`}44E6a<S!=R2MxxeihzJ}JyRo=NZrf03rF@epmQl^hCU(b
z-!*f#ZzKfYjO`mRF3tl0y1i%q-IoHE<FlM`n$d+6fvEp!X<xV@&7)Np+Y-i^B|~oL
zz_VwW<KN=?`xbC@A1|fCy!+hg9N<gpms$u$XCPPN1XlhT|Nrhp^)#4q=w~zdc7rlQ
zHbV{5EAVAVYr6y>)$GnYt2fh<elKtvXE(GB1?(iG_UGgO%))=EtYq3kR!&tifz+t}
zUv76zvRAM@VfQYFp%@+M7!bVO@`R<OCDE+-cN0xJ6!Hu1^1P|+aPxQ~7}*UzvKJ{j
z>6Sf+fxpC}K^?IfI1D>5(o3j$CT=^h7xol(@8+h;oxQ%dq{WTbSFnf$ipYmk$(D9|
zXEMutkC%>avQ_LE6Xf~)v3*AvXZhn2s%>j%j&l)!BW4HZ1#i*uf){;zA2joFaTRM)
zhwk2Kx~=Yjwd1!D3MKVQBF!`7+9|KO9+6U!t&|EO!3pD_oc!LwmVrgz=dMUta_k&w
z2zu!gloPUyk67iIkwKV}E4Ng0c5+CrBfUWAYpp!<@S0B$&nj<%=#k=pFcy-o7cRGk
z$Xq9fQO6<vSZ6wRc05SCxg>voqT^%>EG6}Cz57gpdq$eUA6JcGBA5Ya=b0O@Bd?Br
zZ?R9#BjdnehWMh@WBnYU1nn5U=LZo%x0zUH%_=(BCnoC+t@$8hWYkip^dinNWIMSL
zO_VFybk!*z-MeMh9`_x4!fj%7^;a-4GzsV|`kQDI$qOLePr>=-a^gS&;YcylT`BH<
z;w}fttRS%h<Y~a1*1CGMW9x+3FWl>jU(6@<80hH*zSdt{09Nmie3Z@aDVzq0)Gf+#
zfY7mF#I>Mt$q{FYz`Cm8A3{@41PN&*QpvVNZB_6*Bm=hl^f*pzpRI{Tb$nbVMdG-7
z(c)|4=49KuH|}KFe}f^TGqIIL=0V|!9v>z|Y8IO>H$Y-&{JQQFkh2bu$gD{Is~!d#
z`=V|cnC|7#_%^KN2~{ben6>$uAdwKTZlhBk7xnTfNSE{~!=#7NUd{)p{#|xFAr{!+
zI5MBJAo`|7t-{RE!u(ME<)|1Y0oE7YC@}=Kx-hhlG`J4G+LbR8M|HG{*HwQtYl_u5
z=|iH(F6n7-v8ikPj@uvmh^Y#TxA?rxE$<mX5S<X)dE|Noe&6E+uOkm4ha+5cp295f
z*$Kfm@VXZ%8rtu|10*>)s`(wDIpCow8?R<T(naJU_pu8Ph`=TcoCB>MzBb5&RBTEB
zpwx!iEsBLvHuXghwPiUQI2CMsh});)<|FRN`}{-ByMEfQIh95~ukeKG)7TQqnRDz&
z>s6_L-=h+N=9rXt4DHz3nO!q*F%yTWps(R&q8VR|1b)OlaTw2Z7_I*Rhgg7zLS&w~
z()TB~#lW+!OEW>B@xr9f@Um$D!X@=+8ji6}fF+wZ`t5V#_rih)JNjF!pyEFU;(a31
z%Bqz2k$Ya2?v};Xr+SK(#cKG|P)<;KD<E9^7P$s!`*1f?8k54LPco|0P`bqa__ZF@
zKt+hQtrL0%i*z8jgavZK@F?xfWeH~r%2PQh$#b;(%sO%=fo8HUjOi@Yd@&;;SL~pb
z39So|X?WnuGe|bAi`DAHpu)ld9f*Pm)JV=gX+B2xrU7cXF#5H!l9v6(UxbQq8El`K
zyyc9V>mg4!gM&aG=vHL3<vrk`uOvs{F{8rOvWwbM^}$wbTmRmZjzTThKNHcEig9yX
zov`!#tVq9gz3yFMgu6thrRq21dNv*dVnc#?#&?_cTQ>GqCfC0;D&0L(W%}`>>Z3Zj
z1*&b*8<hkV)s#9hE}(BGCmRjwsMrI#tp6QshehC!NW;#%kvDS+Opit8&aD+|if&U#
zdta#j{4HVJSe>MSbQp+VCGMdWrDh-`=qKwyXh>!ws|^NL{{Vv_Pf0~<Bk5D(;dc;`
z+@ixB={iF$E*e$7Wv7aw7!X4?6R7&!NheTkFs)3aKL`JK3vlhL96sBrONh+fVaUGC
z1EhZuq85zK+l^>^KYl;DY^|%_4dNwmiCXD5;WxA>)lLxR0s8CemmI;?Z-#DAOy$@q
zf3a5t06HJ>Z0n44GrxiMXkUxUt1}h$KN_dkQg|d3ZCfmusVKBnYZGkwl+K;Iq=km4
z=&fH%6S~19xkh;rXC=))a@xX8+Xhbkb?A%B(hk_AU9Pxfr;Yb^VjB{J_O)`VQbJ_*
zJJEwEzn>#wRh_v$6*bSt%T6KS3spV3Z3)K-{p2C6;{@T>sl1;<Q1QkS9g2!4z#;(#
zSG_9_K4k6ML=c9@UKvCcRQq0@1Q*m6T9@XCuD>2V7!}*YN$mVR+$3{UjZk=1?ok{v
zC15wUHCm%I`orC4V4j^$l0{rOEiSo1jib|9>u8+BuV<rFn}R3iA9{mNFE5AqXn~w&
zd@YL5!-S#DN^H%7gYHX(kj$bv;)xQS*JKcA(gB*OX15dWC9~^&)w`qkOyNTyD-TS+
zhp#XXuYiTTYn9YCY=Or$HZWT-gX2c*HG4_PzgN8*`&y|Np*I0vxa7Q(%{YMmE)U}R
zkw|Lddgl^lP!IcNfmrUt%<#xBUu|6`^Ol*_a%qo*!U5pK@5{2sHm4M}@fDMJKSoFY
zz?FDkeH+}VvSE|Rbwi=M|20&&7P|`w^82^bOidY&o4tf;G*)t^JV4MmqDck}1%k$3
zj)rqpui9W8sB1*ome@Ff0P2MhCHo2Y+C%Ekh9xtZXmVX#BA8%CriS*Z{+x=fX~|?m
zQ;{TLb!mfeFLNV=w%YeTFE?ALu)_JBM~;v-ek_tUhL{#wKSr+EBz7Tr$t=YsPh~N7
zQaNu|b7kKtmb&L-f^(PbRa5AhDg)R}IZeT9^q)~~OMrCth1P!+S<Gqkn~s1`nDnE&
zI`*Oysa-n*6=L-D88lg+jj3WOt!rn9_Nnx87V!Zicd1dqc;>EM-w;@}J)PR}J((Ga
zcR@xI66&<<PUVeP70;bZ$~M8obB*>CV4uPUB~M{S0Pv8N_-7pNz3q2-I%qk`3)WZ>
z=123*aS-4cTZ~bZy?@I=L1jSd?ph}LO8VW8f#eYh2x+(L5r_=76}1hQh~G+W7m2fk
zI!2(<e?P`7habT0%`WEp3=z}T2m|c$IC-E&px@RSo$lxf5)F5(X=t4wXr~>_1o1!V
zdk>>F$gJYaLRW7iG%@ETGWs8u`x48wv8yEDk}d>SFr9kjW{Xwi22d`3ICRq8*=z58
zRN?*S=?oFDft829qf{KB=ZPe>K&b2Sxh;`I^OhJL>nYUux-y&1*ToIG5~4Fbr!?2Q
z{2T#V<BH3WVb4ezKS+OI3lbCzFn&EuG_kJK&lpk%Nh{j~a_3<Ltc!wW#DijLszE35
z)%NGKc(=*|@6f@_MUx?+(VAfY74>T}hDbV?p-ZQi?-eug6aX|o$ailad!@1w#$86g
z0%it7B=|aU9t{w0k`b%7+f-DQK22K;ZOM+p`c|45P%SrI8sQ8&ps|a&@=LpMewg7a
zkk*dSKL%*F_>iKUq+!>8VB?cDS5?htNNee3(iPzxkkp8_I39SPjPWq+TsdGXPwM-B
zKee*v`xn6FO>DG=)WWSbL&afv2h>+=7M1>2h|sTcJ<33D+-=8j%J)ocK?6<T9dTIc
zcVxC}V@_Cb{|;vQ5G!N@8W~Nj*a+`&m4-ulXPM%NQ^d9UsjLG?L9vP7ku$0sM)a|)
zwH|B~jQ!9TsnopGFcn8qPx<d`!Z8utZ>_5qG*>>+*?iRczVyhYK7$?K8l7#pt4^YL
zEn-y3@92Zri+3he9pYs}zPPo%lsig1QTELN+&WL#7j*2tVG1mE*cRfT7xCviWM>aW
zF%#vuPULIo<EtU)yw{GPB`821qXc$$VNhuXoITr$+S~5p&HV`vmL00@by>RB?U|^3
zZJG(_Z)T`cYScnB*}sw&*!LsS#f?aS`<tJ1rCx`<S54XiF;e_=cU^ghwnXu0&1^QT
ziWb^n<L(>T7a%-wLs79Y)ww5eJ~|Zy^P~+F^`~Ld9*cOujoF>-^75_Q($P&=wE3w$
zk267n(B5}f3E~{{--WLFuzaE!cMI-gO^F_qW!-z0G9}c2AQnAg@|CY}E&vF*z$-uV
zw%!u|v!*{}Xlco7H*n2Iv&Gg7Gzt`K4ja%Z;IkU2Ke4X>!7wpfkGOh>^!t{(p9~U?
zFPkPsJ*fhszb{QX_wOZSc&<)dP(+OPJAJT-WmSV<h4aUcoaLX7QVfmUxgyDVG`z7)
zI=bUz?apE%gjEomx=60IN_9eVk3awSf^*_4oM6I9d8z(ilPB6M@al)%aDxnv9v2;W
z`{{xQPl~F(tYnJsmz#I`Aj+<t5qja5=R-3wNBDtopQujbnM$uCc?b!XsFw~dayXEs
zDhua7zst(B*Z|U)fY3S@534yek2*SrZhfIGe-Fb80Am6lWLlrCS8!0K6;<vO+_O+=
zUm&7RMd3LOn+r-PE0|`otwF|Royrj^aoX|2dCd8QF@b)wGa-5Ub5SQT$bHR4fA?+k
z2f_tNX}la&efie~<x(>|-5-~a1Ol>uV#jp*ujrx##`9{A;k{vyG1SL$_H;%1uIulT
zX2d{$5b2*8{q}Hb_A@y}9t=G0HOYjdfw!f0X^wP$U`}LNJA|gS|8nz|q=SgchQWk!
zWWew!XDBPtjK0jY^<#2vXk>mUfo1y?mDM8lQY4CL+!r}=*dqGMH`dE#&!BnUHPbZ?
zZ>1{3Zvzkl5M<|stduW%oBB@E^Q;KX#W5PNcj^EwO+JR>SBy~If}~7)vA|MPd{8q_
zxSAKhs#foI>hA7Vs{^&<ZuEp!uwFujspn3W?=#TSY$75_(k&x=f)#a(6)vIFi)LBn
zeq*=kg0a<`MCYFelfmgq`Flh{UO?~E_>FxOALGnDoL&}NH`Dd9CLDcK66kMr@L;&c
z#P|4parQ~iij9{@^y2}830;EbksSmnMLyh7#$bv0Ut5`A4Re4z9A-ZaYt-ZrR<+=m
z{qu1NdT@Igp=aP?d{i?}SPMh|QgXQsP*Ze2xjJfRV$1kSx6nV3pKv5s8}{BGR$?*J
zeePhv-h&H@C~>?MVcZ@0=FL62Q^L<%JIPr=7QIGU_&ZV0Du|Aq>#;ou($BwkV#iP&
zgrf}-Pb_or?Ecg#vbB-{1|`7fB>I)(-;0!GI-d)&`m(k%{>s&!Bafq-KkDwd(7vEm
zPe(CSE83$ncVI8rYI35SH+#mwx68+En$-M(m;#JrK=-=kzh2hCPLhk0(due<nP$P0
z@FM;X{lg<8BXA0_JSAdWz_;d21YcL9<5uKVL_SXF6*e#|>YVBg@usHZ$RR#nl56Dl
z<+xBSC8l#8B!gWm{KaLXcJo){t)AF7wQAyoyVD<?*eBWp&|s0_NhG0m@5*5qmPkyV
z;3?!R1zl4os@!sx&+u1JY85wJ^|_bckegzX{n$H;QO3bIvHrD&KDTy|<2H4TM{So3
zNhg#Gm~IT(_TN`Z%l_1KL{U?g-X8p-b?<}pN}IW{x&uXe|6O6F?ZjW3yq5lQ+AV+^
z{L#bwiaV`#Mp;R4*4+tL_Q^BydIdEzV(8)#(=h(xK29ihbf3!p41x!vM(`Mc;ubxu
zw6&j&9scD9c7$iqiH$gJL}{zi@%QjnNKhK@&uGsGTQyy@ad7U`R#ZO|WOb0|48)M(
zuN{X7O0OK66xQy13mAG<&?<LfaNYanZY^t&Yt@_uF%EmPQkpUMt?s9!^}qHe!(Qq;
z!rhO~c7X6vI{g#}MT8XiBx$eE1Snr>*LLUjGHxPO<-og3!js^gVY0nb@EBw|GAvG$
z?UuC*-FuzykrX{jv<-)xwr#fO03n=tAZXbq=ij&!iB7%RavH(4E<)X<3a|3-gIaiX
zVl4dadF{sTB;i|kW47qq4&rj6sNRr%Owzv(=3<;T2MF_-6#hK#$glDs!UFYQtse;w
z6-C7jB+EGr9~8B%7UYK6sG?c<#m7wwj<$)d?~;;|{_cG8_%U)QY^bn<$+<IPSDW9T
z_;J*casLP8b^ou|S2{#MBtQwWu1grMNzXo^x{Q(}s8go4iSh8fWRS&=aYX@B1N?5z
z;FYVr2XrEqQc7deBRL|CFNbS6eOf3(dq{iAh*4rhQ?8xxw|h!|?u34$lWbtCLCAUk
zUHyuLjSLKV#5+FvD4XwjH=?WX*S9>vMoUU$yEZ_P0yeW~gfA}rqnT$8DQ{r^SjpmB
zaTilQMEU{cOxEMt>Wdb~I}Af^*&6@h`ZrpF=A8%;6NL>AJ@&pA4(ml%i(O5C&az_L
zMO_9;)!v>4Zzi#5Ph>~QjEwZ?mDaj?9xbEZo;9zQQkY_+6OK1gT)LBV<~7vAff4eM
zYE;DZJh5kbQ}bUZph5OjN*ikX3$v5MYJ-Fo@*YTZ=Os+GU=p-J$%pL&U7C>1EJ<XO
zb)Y`H09{CBP{7a3y6WnSTX>1rK+W1|LpKooc9Gc@BK<4ZvTS11ye1huMl2uFk@$15
z4Bc4C>IPpG=Wi3l81XQ;*2Azh-Zu|4w$`5DO$-Dk=Vzp-(*b2CjDQ@}9#5&eh}11O
z0!_%VSe=Fx_Sp+3jl;X2YN!Swj{AI&-)einX;?=ir*TX1{<!Cj2~<m0O8?__K~a7l
zogiX&{d=ea<>MJxo1~)j$Rh|!ckND779Bu%f3CzNvS>YE25@jPxR~q=r_K&i^$|y6
zPv-POjz9s<lCbUYj7`i`fWeL~nAg0ESs&pZI<mFC47|#8G6qv-NIqouP7C>@e{Xf2
zD9{l+KJcP>^X(goKLAzggc=U09b;XC5ZWh1=)-aD!pT_z#_Dd$4LF|7#>8dQ(cgav
zSr+&6ZL>0eXP=3oxVXLVkMQouO3~akuK7;m(c_esg{}5$v=5=40qho$P?WOe>T*i;
zPR_8$huUw`A*sKXYDr`r1a5(V_utQXC2feVgmL2Z+Ou8N1dZ$8>JEd=mJbqZ183<L
zn78%Z<c85f&7O&1ps=^{o{3mqhDz8Vc?di~x>6HlS#HD{ZsXUAiWxDWVMrgnX6E5i
z_NKMM3k0IwMC)MZZ3|dVS-4dJ9(j+&WKc*?z?Xv&_gug-X$QD%pJbqYpo*4<fj|6!
z!o7oUKNk?t4BLK#zI01URaNOfuejnuI+%xiCfaS2H3w?%xzhB=Xq>CjBUTv{we@Ju
zI0T2fDRaw(IHSYjr-58&CYK~~Jf#qW61$Z(B0c@4`*+FBj71DCr8M+E)oF?zEQ*Tp
z>ZxVW-h2IfMf%<mQPUsIMrq=vRj?sV{gEy=xfzS)(k7@|y2!wXaXlOK<q3`A)OROg
zqP!8Ax@mQ-GtB(mh_>YM%t?PtPIh+>gEg$0=M46Z(Ca%renFZc%NWv8<9OQXs5d$)
zh&f*`6|AdP3wiQ{5uQ7GJ;shO_IaDlN3grcWvRqOU?1lN{Z4}&wyZsoh!7=N&o3IS
zLehM>`pZ52C*VfK{Yb4kQ>vrti|t<#b|OG+{gc@!_A-%cfl#0+C+%!Wn{acrZQ1co
zyObi)bWXW)HY8&uMLk6s$q9SoE){xA{_$vR%oE>!o<OU9du%@q5Hj0Ut)Co9KUWyY
zL!Njb7hvSuV|wh~W3y8x{J9$`OvQFB#sSIx!BNFwsmZQ&G=Xt7acaHH1GaD#92B=`
z%q|ZUfR*dXY>QnJAqS|vcVGcMd2AI}8r=!nPN2hR@u5V*P9=1F7+GB&RmWL~i@wR`
zt4^SG;^q9L<~{MvxOG|f=zdcn$qgetrNzrwuE1Z;)2{6y-AteeX9w|m!EUTob1vb_
z&mmSb+2#5*)+Mx2tGLt}#$P-!W}|*1JMCxk@wkTXD7)IKRjXiP!_FS|yq$IpbtIzK
z(eS#%3P8WA70)SezSO#K_5R_D`LFj}Ii$N`>76(_8VhcWZf=ZBD2gOWvHDYGI{IN)
ze_v{qasb#voR3Im3gW0~!j$g;Yu|0|etpEe3rz#PR7<3P+V?l{vHfx4^mS>7c8~bG
zsU7%+b7Dl8(&UEXFd87>7*W(!S4WH7AB81pfe0sC!vSW(nkH_Gz(9##8o-c*qB-C4
z^}*20L^Tf)PfG%iskMb%!4kT-5`;F24;`{0_(RGFJjOTfK}2<~QEN-H9wPHUlx;LY
z)jpm-SQSxx*;J>dKB@}sLjqlQz&XaGGQ`B#Q#=hS_Wkl_WpA=E(ee_8Pd&);9U5)Z
z%1Nd=3o=r@jIj+CYbfd?3;m3uqo-!4(=_r!)5BiJUY%1JEE^Ifu4pdYkCjvA>p0M7
zUga(u>t}|vE1$G|Cb5i9V#~)bFNvvv(r7awjhgqT;07cq%o#}P|NSVx2n%C#!oZbF
zr_4<YT+jK^O+Tc`6nG3{v_-2FjJlZJGqLC?O5}0GQ<<w}h%_Ie(Ydtc_5;5zsS#i{
zoTOc>^gYl)`5TlVn)>JSA@tb-;{w^a%w0D&?h3wsCZmaXUBmV6<0|jLny9+t`Pzs{
zJs0O5o9MK}Cz@e-^3a~{Ab313kYgBiRTV)L)<gXoSqam!WMWo00F*=lvKgOF*`C$;
za$Hi;XovD&l$dgpa&HgE6pg)B%#9IBSz^bJM7TFjkiPsjd5=BIZ!Mw3uyb}020Kwj
zjJ&L^yR|*wXK9-stJH(^dsC49*rhT(bZW-=;5xC=l-ieTFDX5)RPX^JFValbZ8&gT
zW$f4?%3Jf0CtU}OJ&KwvJr@Jp{ScunwO+2Kk0W<#J~uk|B)NthFftr054_!b>btlp
zEvpQcnn^=1=<sTusSA9>dj@s|Tu1^?YQ9I|+6j9@&z>Jd!x9DG2lnrTbWaqbao0j%
zqIn|ph!DwC;9MTZcCxTH(FyI!IP<K+hr9BT!)<``jb^*pNN>3}kRYxoTe!h7-DNSC
z6?jZ|_#+MBaZRL2AEKx3k7le45{v!q9Ao}KAUMwJNdsSQ?Q&K*k*C%Y>Iqgs#NQhl
zmdOiTccitG7$Is1{&qnE@&=oXFfiC}qMYCOZ1bEgu_N(nHZ!E(XuxRYXS`ya&aR@L
zjRec_i74u0%2-12`)vMjsd5L@pq|JsY>YM?IlJ;`mv7e|Y9O1#=Ka23+=y09Jps_I
zfuCR{5~7kNl<3T&fF4IJrNHdK6DI9rN2WS@PI`=`|84PVa6Vn`R>;Aw>=BOkMFOEy
z-R%K#<*VJ5Vvmf9>V#c=7JqSo2r_vx1Wf0f7{LOr0OKPVijtQ#j{e1)TEt{e#CgXa
zPEI$tq9&DHvR7tLbv9b*%W6@==RdO_9N=iN&o#-$b)+z76L+5aQ49T39!fAq{IkN#
zt;B`(<oJOU_JZwG18R=Mzw5;M!pJL7dh-FmwR?wb-kxiX`zCNJR=qO;JpUl2D_%Z(
zpKru&cF7G<bixk?GkK=iP8*>`a-dI3JnQX?24gB0&C%iN)Zt!`VDz$hF0`jNR5o7!
zF3w#<l8yrP+zaTRNqDW4W;gnd*)1V`%cR&%e<Y24bOVILPR6+**J`IJ3{3uYvOo3(
z3x_xu7(tI!ba{c?4d1gC<|k3^u@JX|bLY-2I(nhdEetAn=E=T|n25g-*8~h)?4Zm=
zeIHg;BN`-}l0#vJi!&FtmUQ5v_)ECrGTsN@qr?CUJcAcZ*MtI!fP-icbzUP@VSq`V
z)oend+Dl~d`SZKPr{pr4pu$bAI{oNkb1g45g)mnPjII<~yiHGcNWRIboZ?iNa&bU2
z@$VJP)oD(Wa#rFVNX2gYN}JW*8p=(*`<;H{@~E|^i+Ab=&k*ij1?90)%``>|UOg@K
z^Nx`(gN}|wj<01g$4%>jdOqOQ{<fbIlI6co#9?}pi0Nw%)58;RP)YvqYk{`a?cDWa
zVf<ZI>FsS7p<CH(1~y3SxI^J#o^F0|LZaaK+KymUczFS+GdFRstO<xhrDq0{Z~g3L
z0og?BiI;5}JXY9S%=FV{i+RCz{~tcnq(3)|t)GiKLhDi!;(AK<$NTKt^f0cZ{KJaA
z<6=ka;hI)bmF3(SGOCJ}(ykL1lyGaRh1_p@N=Q3IS`$3xv1d<sSVE*??-G~VSTJwP
zoUff@$r?(jOuH;uUEMWblfH5_6HB)(jDMC=3|-v&nw{5xQq~^ohDPp=5d+zucglPv
z-1L{S5qa|orWrD<fb_+~OxrRmm5J^M@y8TK7pd-lD_~pw0g%<QrJgTFTZ3^ZYr*MZ
z*~6fEN929S<bQ&g!b8X)PxtE|e^_Qg>IY!$&Fp%+LJma@y_m{Dr&tfEu9|l;p-d3O
zEDiy0)h%{1wFHgX9s5Ic1A*;oB5^1E%b07J-f@_}e@ae<_F@%^u#&2J-*Rz|?QEVK
z4nMe`Nc_&TO$dA_V!^}7Yce`b6&f=c@+v>)#vzkUP3sCg5G4!rGgicHSv1uUkTn<4
z*H=1u{Yprj1x4cOa%pzC5e4zN(JCLZ6oer|I6EY~-%l}w_+%K`YO_>JB!BKimHRuN
z2o?MW&M$$({aswTau!}LI)#rMeC=mY5i0qAe7$v8R_XUWeC#n1q+3Ffl#&idLO?`R
zx|9%*5-AZ0#}VmJ0hN?c8fknegNFxckdl^eq#J(wW=5FL_r0$7{4;aSH9Y5>``oej
z+H0*n1CPBerOdulbN9IjioDR_8k>aH3oj(kqT@n<0yn=|LfD7RqkbA-G^m>D+|P33
z``2oa`;Vq_*63$fB<I370k<-5{76n7COEnb&ioRawPmkxQ@z5EIv%SQeK>!=xo_$T
z0&q2tlc_bMyub6P&*g42UBe$iUWi%%T{jXmAuWtcdn4)k5ZbK+5`Y#bQWG}}p@5(t
zKJksng(ruI0#H%Z{{qqPrI2$|;no*avO+;N67TtoE<%7r*{W-&45H_1j=g81<sZWA
zH3EMNU)XWt8_JcZrjdy=608b@{9o(BiMC!|lpz#=ejd5<XvMWZuQS*H0)pS-q}@>5
zqk)10@D8{9{WlENAE{lVeLt0LPFfrO!j5jTJ5HW-*a^g;*e$`E>dhlG*oT|7MTPUQ
ztMe?ml8^*L+5k-+@<xNa$X4KA_>_!Z!(1%33AKje9sKIQml^-+!Z-!WjL&rTLRCBf
zrimams=3<2n-G8uM9QUiUo{%Z|2H8gEZ+iua2W@O1#18Nf6-kkWF;AUE)wVgs@JYv
zGu;5{+euVPxf|#LLP~i!Ymw}{=B@-0ime`iiwMfvQ}p%;+`O&u`W<lUUuAy~kdqWR
zQ!8Qoj4fP>|NTQzaG=+G1$Jbg?j|K_XO|N8U};KKe$g2O03$x?UPfkj+p=|-@d>DZ
z#Xnbl9!i9fo);DEp|=Y!)Db&+d0PzJHwqx2Fq$3sCPECBCP>7J_z?hk2&4QE<@HYp
zXxaCH;~sP=AqY8NE`t!7&(2j3!T|(m>GjWm&1(fE*tt)@DWS!HfItKs_CZD82T&dx
ze+v&!O*Y`2P}lS&j|mS$rKH<LdT8BKH@HXV8WlE>4CcJsVSLbHFf%X^b%q1aN-cjT
zx}Jh)joX)|9pW1BD{)hUH~ATXpJ0rEy2YGBdGeL>7fCkH+jJMPfs;KjP)2~5ehj>D
zw_R&t2Q`Fq%m-;vR4o*Stgj-e1&ZyrBVMF^ggr(PRXAq=AVu2ommwkGt~<%U<huOp
z=j#n8*s+$O@y~X&pWW>I<?vY<W#ulS`e;z-`;#{Y?Kjv~bRp6qlnY)vbF-Xgf}pBy
z{w?tRkhe;;Z18h}<l%z~Ef=ZDNyE&=F@Y?Ls7F#KI;>u_6=|qJs+2df=?I!@a>tQK
zkk5U(n~c)t0Yf;ShJLnM!O}@;`VDAdA7l{311=QbIIWaP_6O_!dY_;_KMd_ZZ1O&$
z$y7ZH+fwF_p}#$~HJM=C-+Vy=iFek*0w>ywY+jO5<hGq5qRw-CDT`?2SV~fCvi3CQ
zkuYmFTGNz41Ly*KZjJ!x4V9aq>1O-&Xb8xQyIsMEt7BqmXI5cm1&AYCZ`}QQS*>%v
zJq*!P$vXzQH=dzG_QOFi-I*uamZrIFtTt<DsHuf0a{d0GK*oD#tSSo-fpp3RBRAWK
zrICV>ZuiSMGOYg`((w0)EAWw$blXJ@s<`*Z5j$1;Kbpgj@kOzGkj%t1b7Z9YWKT1Y
zsdXKag+-7<y6@0&Z=a$7RJBfh?2~+VV;^>(hs_W&zw~Tt<e;`Yo=}yj<N(84IRB{J
z-6pzTUH>5g;^mWE7wbM-Y`=;pd&=GUliRNXeocwBIMgyVM0@vL?)yV&$xMH#NK|rD
z!ok*lyjx<SMZ*!aMu)La)Y`gS@D(aP$9N%=8Am8!R!;)E6dBwg(H_7SjodrbH!KFv
zk+F@O)erqwyO7jeA7@&}_Dw}96`&-3HNji}X$SPL$)K3EZodpCF9ey0sCOf6Cq=^;
zDQ@08;)8hzJmP(Sp8L`I*O4FYm)Yl*81k;N&+WzhQ?wz+4obO53_Ftzf|*}`@Pa3+
zZUsY3Hi&CpIGXRiB$xI_c+1Pm|Is*P*G0Cvm}S?2cm=Vvq-zh#vY@^th&UVODGUCa
zWhndwt(ii5!VZ4`%h80rmeDm#eEn*5@+29wF}4X^K|?M(=^|96i%EY+l->dRYun`o
zsJr?@J;dHz6SdpjR@tD<z&vbccfjhIfF22YNo2j*9ifF>7_DYMqU7T4{pluRsQRH}
z&t!1GW(`W${&0wMEkc9^{wY9wo9O{Nl}rGt%a03no&<Ku)xzqCkoo!XDyXwZIBM;T
zz$fa&#MDM9%<Q!O`YpwEqxsH}=Jz%)YQHD-{5nI&fSF0E2@19!$2glMuit}BUZ_$S
zQK(Vw1X}GgoJ@xWF7IW!3Y>syJ`nLEtM6E}ML_OfE$PonH4e$CS<cMP{jfLJod*q%
zAM_wM{^GX+q6=2rp-mkExURf04ge2_H^#bH%!*oT(_Jwv$og6tDh|jUw}N{-p9%GQ
z{V4jCpoMyMltf{}(8}tg-Qx}O&^-+kQakEt0vQUC%PTH9`rwb=xiHqY?+_7MHvXb#
zupoN)qMx#6nPnAv|1{#P3JB38p$_Ks7bLU}?^I{73RW^?7QGj{76_E=f?v^bu`zl*
zsNNR0kT~3%yFi0!6Qil&d)P<wLj7&!P!m^)`nQ=wnhn2&67arUdb1xZeE`fs^_9Ms
z;qvmex!E|oFmC_G_uyJEDum@Qp)W`dnla7&qPruM`YPxTtm3#zU=%IUqiZK6To&}>
zY#+`~P~lg)sKFeQ(e+zG?o-%Dk|6*2*7R{Fgh#54*-AWO$QYX=fyUs`7qL!T7gM^j
z_k5KbfgApbZphj$e+0>q-|@oEWu^PsVyS#3LvT6*HUFKv`nyW9fOhMTCT^<#up1(P
z-7vetPa`QkeOg(S91F@Cd-FyhgW&|0!<e*R7TkYJFB|Rd9v&AIU=<ETAsWFnIQo5A
z%J+@(JsNw)&Tu5z0WuPRBdljvF^?e)wHqmun6&2z+s+7hs3Xz9KswE)plCUTgC7`e
zndELEhb#Z@vRI5-GC4fjIs<%xohwaOcCZhfw=JLI;v{_uXG!G)ql(o(+PruBI!_J%
zo3_aR{_hUT$_UD}Fq<FHvi(|RATzzWPoqEu_Su*AV;QaR7xk4$;PLx18=Re+-DV8z
z=cjlHjw6BI)*GHpg|5B5r@>(FVg~F4F(DwO`27d)_k+X0r1fZtHMDi`dvxpOO?$eN
z&IU)HjPaUHHjSa9?@b_VKEE#yb#AFTdAU6?xgU467=(mz_QK;=a#3YF#(6nK>i7Q*
zo&;ghrR&Y*dpufxJ{FSnHkC3UMIDNOS0t<8mY<`veS?c@L$9Ff;t`tmJwL#DQKWUN
zmbgap>_5Mfqvq@k6Cx(}A&4<vAus(E{F2e_c07hDS7t0>pGa1eZ2t2??Ek({vPwo&
z=7#<n!9RLHeyKM7>=F1qtH=NIF6nwDfqvkeIUhMaK{Y<@cI}aH=@~^1i@s!vGxCH*
zDA^r_KQc2EIYp)grisXc{O;WF;Gis=$Z_BjjR>8Ha*6B{Goh42fa>G*6!bU$T({Jq
zFeY#q(+*ycOFb1nktKiSl?JhD-h<KAcCUiX!MgrLy_SI5$vHltvjB@8#O|_);)?c@
zE4MBwz4%*hz14j~V>`5j(A;D%%!c2Ww$FOeI+{(?7vXUXqc;`<6?}2)XITsnY_2Xg
z2|pPB%$uq)oS05bfrckd`RZnKX<lBQEEmWM{2)yfLX;_Fk+togg4{B@cDM<chu`{o
zsMA|+&~G}n-|lEz@Q5y3?z^h0s+L{3!9XX(QC`F5b9K^gc6*a|{<-9W^-A5J&EJ4i
zj69$7u>UJDCu=`i5k6#_`v8g^jn=yYd+C8;k>LH<eE|K6`+J$)s1Fni1&ki$ptheF
ze{r<$hsuy#{?*CwR7rU5n3X}}Yh|rmhs~E)8zYP!NeCELzC1TmJnhPZxc|)s^1lZJ
zK=rdy253>nPET%hQO?wC^nZ13ZupSRvRSHP8dfGTeKiow?*#5Uz@JEK-{)pCRJ(nm
z>fnV`v#r&DtyNo&a2r`W=-&&}DPgD*^`T>-FMap-Q#A|MBi1U|upD!mR3WCtjRqdW
z>&m5Ux;Jyn`)fFpy~6cZ{)Boe_$rZ1GRq?iB(#Td=Uamf0&1s*6voAmj{|+s7eyr7
zG2;y2{XYL5Rh+s7=TXBg2G@C2#C=6^m&nlg=~Le}QHQ5vK&+Z`g^UzbALY<6ybo2O
zfr=_4D~oS53Zu<8ju==(Hfn89P&Ne8x>e|Zd^kBdwk#+b;rM}Oo1*2CYjh{0LmYkT
zhPH-vpO#<86^N!kw7nitKzOKHQh-w>9K_x{Gnn4v5pmRKq%lDWZJwH|8>kS8sIFm0
zy)XYsg%Wcpht~B$FG*)hz|FJ*rNFDL0EmHopf8e#GOeq5{UvZ~UPsCj<SK~N-J*ow
zM%O5A+HOj~%?O^$ESLKLs;~l@jF^A@ZZPHH`K_+56{M#>9e<cV8#(_ddpR+YkLfNP
z#&6oaEDTn~1AaI}j?||syo2rPTH&LMLD(nvfdPXJ1QnV5NdrUr!Cntm$+mqK&_@uL
zj)s&Z7_~}44OqRQkue^!5C#AgDpOVdqCax<=(c_U`L);DqE1^3(6I!u-%R#0Lynq1
zU%<j?xNSp657C=o0osiJy;9Ehc(Y*jhQ~)*&z=zNGv&=6J~*Rxh9!2iYo;ZPx3GY(
z{UfIcHb9C_X9(Pol78FB3Z@-j&)M6@fXoH_%?Hc~dk5RFIcopt{a2Am%nV|vK&?O2
zQxdt>AZZIq0gnW3KwCBj<l}-YkVkE+Q1!nh@xt#X0{?;FX_jl4neB7C6W|0fO<6MT
zHq%hF6~WvPK~E*bFBzdmOV=^nnZ%0K-^s08+PZ-KVh~wKhIRmqC?5qcg4*?qEQh^E
z!0-`4;m9dSa7-69*SpgRX&(;-`Amwz20L^|EdJ6DZR^NE4y0*6+GsM0W6do=aslX&
zEtj@KPs7mO7*@JWh6Sbj3u#J~I4##18LIWLvD<70d9mt83QOrnoaezgT83#K$D|#f
z_e^xGY|vvB_!uwLtnXCL2bKq?R~~|gC;>RuEi7|ZPzl@aHaDb=IGeR#3LZkA4|y;F
zwF>LB1$!$f1LY~)J+Lz@n!)Qu5vyoDYe$MXKzm0C&e@ipb7yKZyh3lSSN9c6Z)C*E
z4=;kr6_)xp1U$F2MCLTMP-9`}rxbknnWiCPcS3ohL}7TNIm3+%=8N;t;&Trl<fJuJ
z6Q1ALkHXFoz@#D<kk05uGdhR<xvoXm(utWJ!{ROT^_&9e7S~iC<$Q4EOxNH1^3r_m
z?rrDJSxD~UvRjWq^T%A9F#h*X_F^@RrutOtQ2g)#DOvR-OX}&vR?uGl>l>3PC?1OQ
z50e0ad<N<hY4fj;bOIH5;N=m7pcVQ1&Oik>Z{;?Ctt#I5*QZU}dSWTxA6+f}uVq8H
z7H!$m6MZc7BWU$R^Hh+|kA8A?YfH9Z4|e|yTOX{FjO;0wo;CgKYP}wD9+;!-fom=K
zCAssCB$mN{%Uub-kk&B18>niAOzDZ5lYp{wK>RP)(o&UU-L}!oX8LMZ=S!0FE~Kw4
z4J7JszIhGAvwD4$75QEyM*Cl+1F9s4ek_$#Az8j=AYp)7$v0~WIZbuSrR`>Ij5J+1
z#}+nFoQ7K$-JaO^8ci?_DUK^(68e)V)S-jMpnSa%9~?bgIS7M@RHgU%*pNj`b-X#Z
z1+?3%;afs0s$2j1SKv0$*msfuS@7<_*zQoNr@4e(ZQqY6rvjK``|I{I`5IBNviQGz
zBBqv}7?t>_+zFE*IEvVf0W;?A<m^WDF>Ku(wtuA2(aOK~^9#a7UexIUd~d1;6*Bg~
zamc$O9e_XO560`iFX_C8_LHevSpDB6EB<<McX~Z%Zr?VMY0C4_FP;BU^vXb+s^>?6
z`%5)ZhP_y0Q%Tn>Mc+ZJJukvLD4FLLYFb{y=j1vE$ibb^5M=Kh=>Uc?=1uLtZvg$B
z8`6AHzI^1;!Q+1W0)_eRIBK1}Lvi*raaz?OexJV24g7KP!x10V&tW-=ld}j05TPVR
zX1Jo`VA<t==k*#`{iSB71LGt(EPs|l9h}@2=>L-rcH*2y<43W2F9>}4*4A954o>~*
zqLi|+O_`d^`66pOK5ifvSWDN)eE>WN7g3<Ed(1}@SYmN`d5#|)h$QB(Wmj(iLdacQ
z9PbIF)YRDmpa_YMKU^4Vu4vwk^HSfS7ZDG)!P!nYwAC5?DO<;ulxTe_jf*|Q$6`wY
zj2bPY!7#A?Om1D>>+cu$c-#r%&p4I`qQ8Xvx!GC1$H!4My$B8hWzlI=Zv}BlDZd@J
z*jCm;Y6Zw3Lc6byDF^5PJR6>>zB7g%WTPz!*+T#>jCH43(5`=FkZsoPzz-iFvr3Ql
zwYb|q=B{$JHuW;B8#BB1!L==lZTtZmfs284FbiiNsvN?~J@eWQiQ*7*oWHIWHMY_l
zoB;q2K$1v@7W16dojYP#&2cI4vYMxQHd};@s;2458MrHali%Qmsd8BJizHc(P^dkf
zQ`-}>VsCc#U%UfIwC7>S)J!*!X(aGW1Hj}%E|TYPG!kv}!;V$^_jMq6wx-)woPL&i
z-wy=IDYZD|3qRsj$M^ScWjdX`<w!Q)wd~ICwD|f8-|GpNKhGb1eDYMqpNk*<W|3}V
z$-><vwg_u2nOs}kx|@=h+e~hol$g_UHy7WcZ55)<!ub~`(_bvNYvlg)`1|$5>u(cV
z!zYyA9IxQxALfp(n~N~LQyb}0x3oF+EmG{YOUb{{K4by?*VOdyUd8T_cpj%C4NEWJ
z&3k#m*UBZl=2vOgN?GWGp9`LBS50c(p2LEg6@9KNK>Wvdxn=zVWJUB0tM$)f<NEzu
zYUT;{k1wtEBW^5U{XWnZEKw;hg!{qeo^I5>^s6G%3Cp>C49n8<W6k4SHbxzJR*}vD
zoUf4)N|^Bu2MiM?4jD8#cn~|w7@~;JQVNx=8Ia9<clBafX6Ibz_)I-+QdNKAlNvT+
zogk}aC(MS`@5>qs`OL8Slc5~Cq=-pLT_dsW?T2c~DIje4l5wb)A=cD~Yke}E@Fi@4
zMutaZ9GKpO^(esW@C3=l%>3fCY1e6&hVE{+HXO2NxnR|Pcz6eh#Dvw<1`|C0zzF8E
z@!pxeKI8pA%9G8^toifve+^U>_N}QDQ>&TC4(-Rf60h){!tQycu5uOOaH1t(Z(j~n
zfKIJ1_l&h<9<GGBuY}c_KxqWgHc)*Cbzng#wetoLc+JeryrAd@sZfVe%^SgOLzqj@
znNlaua<sGd@pJF_N%|mt4akiUgF(z@d=iNSp6N+#IO9BGQ?Jkn?M&nPxny=yS?p6s
zQhKt_Q>9Qmzt|DOuK{QFiCyKHH1o^YdURvG+?m;^Zj;<@pNI9e>o3)Yj~~KtTIyu7
z@rc(k12jw#$@#ZL4xv1>+T^xo-@ZbHbeohe8rE;y`_TMZcgtH7BKHLice1KbE|-pu
zRa7}eWu)8Vjrn#^Dx@DShEL1)4fRKl=>C`dAH<Mc898wT>#kgPwu{TGtI*7q(6j#~
zMWDR*$Wb7#Y<OCSqEy2D%7n#T!3)@kp^5A{{sUN6J{!~I6NdF$fVJ7XSz1`Qd^db{
zsfwYy_HC<}z254D>q$2sfgafpIm;GUk0bsCgvC>d3qDLcgW?f?Q;iMMZzC#ROS1?;
z7gcecR@zJ+J(ADg?wXH#>1d?;>J0gbzBLlXJn}WPb<M6oC`2I}Upy=^?TskKKtZLU
zxnMcM=^&hSzE5+I$YxMe_7oDfqvl1ta8~x0MD}cS^+>#(+?_u5`N^}_FCFx_6tBYW
zJkywvnVB%=|NIYJwFZ4BW$RTMa@Wcm4e304F`SIKY9-4ak0)8UKktH8BNOVu%W+bx
zaiIDg<8&0xn)oS0t1SQ-3Gvp_)@Bc~8B<AQ*}W6vDYeirR=PbHU-`@IGx#Eo^gvS@
z_Snn>iBVyZQ3m&w`>81wetk{f==%3ywCOo)DMW`3U^vZ|Qa;4RQhC&O3dw|)Q%YA;
zV0Ko1{^GT-N=IbY<t%vjxzA9z6Ng{0@<DY_RV}R_MoYV~T}<J8@-;v@ic?(hvrffg
zizgyTVWRN`SuegY&Brs-ILbL^^2hA^l*G<8J4cEwGsp%rBUS=*7B(BsGN}qJfI9KE
zwE_a2QN5!L=U^cqARuFBX9s7yysWG&>i*_Q#6XX%JDtF2Arnq}<TTgl^q&W*T1a!8
z<-}$?zC4{XvT6RMnOn>{%H}*67VcQS=s8qiINRIS(e%b1Ou7~ENq>Q5#AQ)nWn8@f
zj;#;6$Di;AM&(<(-J_2&wkU@sxl+l<CNBH^z90j+07~)~cewn9$KEhgzm#FQ?W%X_
zQGbK-%;sxmqb0Y%Jy=9yW9-Yfd$4Ec#Mc2Z_<h}1+j=t=&x}b2o?~bCQ3^94S2L}4
zjbr&srg_@Jo2Rpsn_bCQf&{zwm!dE2ks}ywZOU#~=ONDfAtUw=Z1!u@Ia7SZU@QJj
z@nB{t`mpQy?^*(uJ1cX8+3kgoVi8`AeJ>xw-DkoDf8QFDjvDEaSKW_&Onc|#z*#!f
z-litTdtuU2QS=0%o|xER^M@x43jKita{DntTu#N?80^!}BGH|{$0|;3SUf~C3s<u;
z%;WccNRK>atV68oj|$5kw?}rC?Ilt^M{?1IbB;@q3SNRz_CHXZv!S%ILnGkRRsK|h
ze4(iY=Ps0av^CTle$g5rSmc%W^Gy0=89vL$KIxp}P={$mn?B-&;In_P3RPIe6~Jf5
zXFeFs((KTruWJ=#rF-^bzD-Fiw&d-(&}c#7#S6J_m@(Q*CP^?(z4zF+ahQL8VD@kL
zPxtX3zrQQ1R!a95bWw~;%7vkeh|SFqDifmbB5gLo-#LsCuBrA#{DfDBt#juZ@ZJ<G
zejb2f@8k2{sc;(D>RC?nbL)3E8@~~WcQa6WG_$#&s+P>T7Yn$V1Ob8YpG<<+VVyjz
zs)F`KwvDZm<~AX_Xbj_vW2s43MfYM6IlkOQjAM$2%9C;GH>y?FbUON5LM-~3=j7y-
zbX*#3F-D`CFVEa(W5a?zlQ=t^2Pbsk`wI`5j4nX0v$GCeQHzdRyMx51;0|MM{5I1_
z4nI0v?MpEh&O}}OOsdsErYwxU?WB-013el3X(V)eC`sW|Kp(T>ym#|u2YY*#`+7UC
z>+wjfqmcc2(iby3Pirho+T2`$Q~#kt(T9wA*tBLVg%~<$t7>UU<L*|*=62b#U;`On
z{_@H)gnLVSlFE{jl1A9?Da%an`2JFD=SQ(0XEx}oH;Y~H79CEkbO*5RMnAjvvNIpN
zGaowH$>fBqN3Av_w;B$Oym=*=tTJJf$$$k#vn%@W^}SNW7_&*w(Cz+~N7VPycVV{s
zf-+ZITgpselWR>OlygL~5)Ty0UzqSJY_asMY%Hq{If8jpz=xz&fSLdMlBORuxDjc;
z9}`ww<^17GVL<uSl-s}AA?-}rZT+@9p3R?`HL7~*mVDSiWM$(`n6w_pUS1Aq@*-vy
z-8%LDea0@{7&LtlP7}tjel#xHeo>-g`l&WPW@;p#Gp#y0Xx%qHtuEI%8yUh0YqXcq
z=H^S5`;_n{f08&q{QyP?GU@;QA((GL=PDJI`eRMP%H~{rd)T}^@*C<K>GRWdX-Wlc
zt_bAjy{5pN-)7x}ce$7I#VB=mZ(x)^o;Vr;ujHl0|DKSO&{{U8C)?22a+`@Ze=)!d
zb{5Gu?V_=tI<bm<WUNWB1z}W||7S?3u5Ay=Y+KBpjlL|hRzgc<!_3&!P<($7zGSB2
z-2(@e8}Ub);UPO<k3ws~nDKwsw{hF25(o_$iO8TuJzj~N5MxJ97{j%|4=}s^8gK1u
z)p3+J5B_R|Rp^ni!eaJ_bAI~!lVDhoyxj4rXn2F!>c4H@6TH4<_dT6dCVtEESNZ~q
z`ARcbL$3g@;LW4~6c7~Q)}MG`=y$FPX6A#7{$IZQWo9#dS@Z}dk{%l?&aHc2LA+3m
z%tB0wDaJ*7tv#ykM?Gz8w3ztfgbnW<Xx(=a#}?ak8@9TJBY~MGc7Dx+R!#RN>7})1
z7P@`V*K4ilwe6y;1|d1}X+v^^7yYlXsdvkjPiSH_v@)Id1@Sks5+{AJ*W3Spw~g1q
zPu5_OdC&?z==CVD#~+`$yHe4HdoMC7Jn*_$*~)gjGFMeSLJ^+V-h1r+fy>yZ%ya*J
zDgHQ^7WH@l#|*zUvhv<)Kalw@9sfw-ii<pok{Hq^>Gxw<1`e;$e%I#1^bCA8@X%P$
z2*NQS^ahw&TKa{ChK|5hw2myOA+?J)+Km?G6N8_uz81#xhWrlq8&<sL?^~Hv9(9@x
z=cM{+!{Bx<UEJmJu`x9gt1VaB!<cdS*nPCdqex|uE*??5@Tfa2_)>Te4GjrxbVIZ)
z1K4BW(C*Z{+@AOuzP7M~S_ql#=5wXKA9_zSOR`z^@>P{eE+|%u6<;_*g!u1^@%`AR
z!ztW1VDlfirz&FvT5c$*&Lr@-p1WYv-T5)S->RMd=#eAci;keqKZUv(0wb6{Z_~nH
zO}hw;rX}!AJ6{m{MhQEy#|;6e+6l8Hx>G5R@hVfxEz>>ESR{TKx;DXidz7%`>p66R
z=pd$*fYU{b%JOOOU<ueKY#UX&|2pJ;5;pNMPA}nWB*ENIgj?<xL5fF)R17(JdGvX}
zR_YlkciG)p>Wk&z^YyYErx9i2*0VLTJV!^~vG`7jiE%E?&BUp5rHrGYO6$j-3chAH
zN2sHzlLm8J765mv4?IKyfI^y(P1~1t<n#%yAYtOtIkD1HknTV08UkhdTw8&yQCQb5
zdf^czkm}yUrkHSy&Z9q6F~RT$YgO!>*;vgR?-~D^n5#_Rm}x#F#O{kRT9A^<+zcUO
zrQ3&9T+`AbZRqTztqS7_1hRVnhrhgxM1K6`wGT0~G(X(>teQX51%P(E%`R}rsE~B?
z_A#1k{TH#`f-6x1yyUvJuHqe<WXEf)-pRGJe{Z7BPt&CsWIcg9z&NKCLN5O^oK^_*
zFd?$UNLYZZg$^k(b*EAyVGq)NJ!mcLZeCdk4^b$Jv_FRr1`cG@3*0Va!sE*MyZ1_A
zmkI(&T(aRxp}I_e@3+j`@;4f7W0Z0n?aQo|(tQ{2^>Sga({M$?qkmx12di+gUOcX&
zN;7r9QHo3;8Xc5AC!@VOhnxnGC@L`{BT&$yr3}TcNLQp{9uB;k(a&{6mUBp312gyr
z?mvfMJZvw$Y1Pp}LT5N};_6m`W?}=bYe5`S56q03gmOf0h+$MIxGOMkf|zBAGfGzP
zu9regE?Pw$z-f)F9=6vAaQBdk3~X5EN3$kRFi47n3AVlFIsE3vT7R%S{b-ie?wp;E
zhvi5mjLD<ygi{A55H~%E!<zOLuZTsS(sq(Ms}360q*T$OgC63ldg%~pJh0PR2%j*O
zoO|5{we`;#-|@#sO`sF(HoOgeJ$tM=q9BS_9Y;+ztUGqp*O;^uwO~Q%o_+VOv4{AW
z07tFawAR;j{Ef0_k?r)H!_24l)kHRk5Ds7`Zs@5SGhxz;6tV(>f_OwB0PfJ|+v5a3
zs#8dA2*|ko_~KcWs7FmWkW{4W<nLAz>h<JKqzmd|qRJu`*Q*QrRv+ZOWun$;SAJSF
zH_lbq@1jydT}&HvRQg~NHxCMlf<9-xyFOOBIbLcAg3Cj`Ormf}ZGE9AISEA^==B>7
zEtBQbTtKl?=vs(LZ?Z?umC*MLnGa`-%vk;2*}hSVB(C+iAC|r|uGhsu&Z$ps0h4Bm
zPFaEQSjMWofznBQ{(7gl%gu@Ip1uZ*(YASzbsN{vylw0aWWcT7;X{f{!26~Lm&(cD
zNg`^2k>24^tM~ktKe7_!^LEkD`ex7h@l&jLExTG?4A+J-j?VSL%)2h~IZl*3@ssU6
z)cIY7-0X@)a(fxI@JU}1*%#)ZkpDQ=3#5&+i4I6y7id)q#<TKi9oeQTfmRGV6C#EK
zDf%id=6W6pGDTU3l13*b57`NyRnO4)e(7>^^J%X-_;uINhWI!vh;Wx(ar<O0NImBR
z?9xl5v@=SJ>nn3EmTUjbfpz(BHwD4!s=tJMup0-%WSgn%`ak0C*geZfn?`wUc?(+;
z#UAOstLp3sz>Q}!1e%z98Vz&-3Cz30ko5NLTSDFrGZL$BhGS~rS<;PKACamIUqP2D
zBX=bTUl}c6%L~=iX{E#`rHZT{^q^IZLz9+9Hkg%~h9*$E73#V49h;ye3e?uP9viY7
z5LM`(k|$Dz3DK1Z`AW4;5vO`<KA|>J`OfjPKc`IdWxKk&d2KAM1oCoTpT;C&QD(%b
z;ll(NN&vg><uD<jnk`l==G*kRHQ}JnL;qv9I3w-!O8BAI=e+}oz=5X}<M1p`UJZ?p
zlWtjS9@5J!ek+nL>T-F)>aMcr3Cua>-4})QJs$b$lv=T%qL)ug$;g<_oRk7g>5$Yk
z9IWfY4}SI1cc9YgKbN$I3*p!2U`3Of4uw6!CyeC${a87yeU9@oItoBgm!6eb!dtTW
z>)nW&x@96}p8~P7<RA)&^3_STK)^_x=`h}c!u*0M)CepBIxtCOZ2+J)@*(592z0LL
zV(vJIVT@~#t4CM({yXV|x+)cYjplndGZzQb6rei<X~;`bLSI6ap_P%dxIwFNRQ>V)
z3$7SpIN9mh=WJK<Ax18GnwsR{MiA?^ZNdRbDua+$dVjF;t0H@2EtE9==LP>AKjV*f
z@0Gn@hw0K-EWVVxVS&E*``jFdvNVoX*`LIOSD3WMsE(E){Bw#_76eKCu!g>P1_T74
zh69waVNC@;_kt}0Fd8V4Pb^yPh7I=bz2lxypO+3zP8&T{rJ+mFvF7I+<^(C<q1nnw
zB5OYhWvicmPh<AE)F>q3CX?mV&KXH`08q^vodR7YlXZ`V_~CP<ruqT%)@dzoH&4QS
z|6BFaF-pdxdiFmL@ZMd_(o}0Dr&D<LSbQOpU=Xmd;IA6Nz8yuz+sG=Q1b{P0P?i|=
zhyh%2uD2CBVKg)}5J!WU7`aPN<xRRRq!{=^#qhnIi}|S4JE>CCz#zWtDEIGKfiV^;
z)26ZQWeoSD<7ekC8G5JLp-&@5qw^wQpYwES)DQAN>o%%Ed{R;L0ZcE>#w1B~FZS^U
zY49Ry&XAq>)5HGuC5VZ1od-iQ0W9I}=?2XCB*VstJW;3&?U<1JoKWE-mz~>T5>}mF
zXcji>DDIiP4mq5zBR)j+(Q4|0w<YIBg+HC9@5$kJD;Ud7War|ez^-a3C!EsVhuQF?
zY-(&tOgpO_V~||`;4n(^45lL<PG}lr^%iC|j#~4eo@a~D4)vZME}p5l7`P00KPrBl
zrOxjC70z*;3ut(<29Lzo2B{wYqmoA1SQoybvn9%&wwJP{Rq%J-J+$wWf>PKCG7dZ7
zD5S9=3lk*JuKnVfvyb8X;Bj=gR=*MC08!o&3U5^&(xj-T`LHU5ZoB=1r(I;eYa%qb
zSneE_bn;o+jmQ}7uFy)bKzu-ZX{-HBfhB%n=HWuy0~4ogs*9c}J*^}L1@3yo7fY~v
ze5>lAl(bloi!8CZhOVtF3MeNzy)TCe1NPa_(n7wiLeKer)fc&5MsKY|6Tn4~Y`ir?
zYRD=fBO9V^=-1^&j4-kW=SXBSj<lvv^4&i@&X8J2Qh_!oFCI>8{yw5G%swAYaX#sT
z3Z+i2Gkr&mma7voap{8aZ4R5=o!kZ^nM|J?>SdWv;}jHv;LF%V_9vK2(xa~8NVI&Y
zim8!-h%4Z7m=uyzJky)5n0>Zq-@!6qHxL!Bdt54={?v;2>Fb{v)-MWm^Y45ek0_zr
zO(%^GRh;ZEk0OtIUmHL%9?qm4A|ri4ks)%nmB`YIrk0LgE#awc#ZPwZSLo`}^?&1X
zAo#5hyKkCu>fr<c*pH@DAG_B(XFvM&EuQEQt!CI}0TemnxTWS-pSigKqZprGvXEAx
z4tNF9EfSzcD;75IYGY<LqHCb1M~AE^AQmEk-4N<mJ6f>wjM7AJgtb-oOE>;+R*YqJ
zORXE)aY`87@=NCmY;m+A#)^tJi!1#OV-;PoUO8|C6u_p^hgL+t&E}BJ2@YT3oPnS9
z4)UV2E&)XopByA-g9FQeLa~DEVlC_8>mr&(KO$A2J~n>H%?-7`G`lNWvc*XYjBnH&
zYzCr8o;$S>KPH`b_7V?ce;Qt4gq2uWEM3D`Znad8stP~QP3>-u0A2_IyI&F5YUxiE
zch|6dL^87!Z^4Ci>n49-TvdNbNsQgo&5B#;RR$#jzO`gAcex?Ztx3!JUQFB12Z~JH
zQ(5z?(EkgMjL(*V4)RKnm3Z{J7wU2WrPKa=_qF_fB!)!l3xXa=a2}uv%N?Z~9f%Hz
zOm0zsF6)|OJ44Enk`pg1M>I8k8ymU(<lww-mAWp24u?D;rSLl|u{8HX`~HCCnK3I>
ztv9*DE(c-`HK~Wn-ToOKO-qCIUi;DD_Ul3@rxpna9v?j#<S;-@>l{PHX*Exf%F|ki
z-21WTQ2GmQujOh}$?wi6x;8g{;pyoKp{Y$6xk`1Un2_6?kUPJ&j!xkO<Ujvj9@Tud
z^C%t}@Sk66<I&F&J{XxTtlsJzePQ4Ug+UKR&qGVQn_*;U=?-`tYcAC=-`<d)pMr%7
zi14;fAz3Y@4;o?z0#GjH18sn1)YO`9<B18{ja%PBxnFIkSV&)$YEUZawzcFg1?EvN
zN_41BOT;0!ziu#skXKSt0>JI}<zan(WuAEGNd3Mueqs{bMXTix-hNb>FuzW+XJufa
zxMl{w)+!&8^#>Mk5oL}{K1_#{BSmxVR?5ywHmodc&vHl<B_Pa+%gu%6Kb0tYKy89R
z^JZTg`X?>hXT;b-)gRc=C=izfs@6{3Tabse!M{M6|7hd^8q^aQk?sja+XX7r5^K3J
ztfZ-bY4@xg(Z4|mykO{IeN$DHo&tPmqq-t}ay!DSsb`xuTNVozqH<?~SBzp4a=Au@
zG2<XuE8AgWa0I81@O9iVrs4r#0PLQ#D)qq%4Fsit6gUg?%)9vd`l3$L2Z`uuQ7vt2
zqjbv&BwG^OV-C@H;OZtCzI5m-`3m$jLOr|jTg+Ky8mY=pdvM<-=I+R?d3-l&t{w6k
zId58FH){Hrr>j)b`i-PGyU$Sx4(#Ls;)aamCKf0~s#6|@ilQXxcF#|6G*Kw8I0roC
z05p_SKvO~;th=*V`fB2<SP>5hI!}F34a?2XCq!@jh;~rb{{8(h#vAh)Nddu6uCBX2
z!-_tB-gl@hfy3HMqe{NKMPl^%A0AsXHG~U<&@Sa*_A3nZ$D}34Z>W;slVphC_{h2v
zn?Z{@Gj4ZGLTVW3bzCM7+r~1`16v`LRN+%s=YZx<jg2>KP9Pxx)SG*}Z?ZcynLw4%
zX`;J$?PdPX6vvE1lltY)(m`iBV3L(RPf#-alylTjSr4Y1$Fap}l~Qt*k|Hrc{b`Q{
z)vYdxE*S0I<FWpnxK!5B-o6YR-DnI}DmD7_rXOmUDtw0CmHkfcOHTdIq}FdwbbjO?
z^>Q``l3wP6nZCFdA;{7YVj#n}d;czg{y!y&8GR|xv~TvGd33`8;#>afy;c%MZZ7Ms
z{2B5l=E3HB29kcyjn{r`J}3s&qzu+?@8~dUPFCASV$uuxd`6(V)|E(6!R?iVd>`8&
zZ)pskE6?;{YSf4Lgud=Sr(A~lDLE?MPYTJ&sa}H`2B*@#_E3%I3%zE(_h(d3o>0k#
zZ&(~IwQT^Ky|$&FfU>ZxD{?oFzpFZZ;-xGtj=Pw4c^zz|{g8xQa_M88EF`SkrJq}$
z|Ee_sdod`61z%h3yZ~#<D7`1oN+-~C_r-CoVg&!OM=HaQm+tMo_h_j0H62&3kzsSd
z(7af$|8e1SI!glhFow313{gU&2o;p|5N|Bi(AwT(ZctM7)<5^!=dO7<L(E>}p4LNi
zD=U8kVCK#IsB^o(U9#K<)@Y-gzRMtuqDLyniJnra%(dqhpj!|4SON|zgzTLeiFKvm
zvc$W24TE_1(Z0WZ=@1?!q#swpSHq5Odj<GBKUy2f5!#!8KNq*Z;*?r~tm>3A16Gk2
z>$Pu?=oz^Tt@BC;nLOCglraa2lWa$y;OscU8Gsyg9*y0I_5p3$hq?P#YoSp4uzCT?
zlKj_q?q6~7dwHOu=w9h^rG)F56VFXl`JGi$lWv^cW1qGS66Z_4>9|79$S^;x779o#
z<55;^QdI*325<{m`sc7gMtTW-UY9b!Zly`<<jgk}x2){*h}s`{fMk@(+y1SLPI%AD
zz*eO1tzG~PO7}VO*_|hle)mSy%^rr9uYEw_l+kB^nX~=X8hY8RV`w(In0fFm5;ei>
z;_GeH*!`+cV~q%>)=Fgi<`1_kn;onY3(Elo1p&pqAV_l`&H^~@3I3${A;r@tLQ2+a
zS{Ulv+S;@p+>4oy0m(ja<B+<3L>Ks%)K8y!JKiyluL&0-zyVoGmn*4<LuTCnvq~)5
z_d_;8xUQ#0b~KFB*VK`;%#%*pbN{@T``SVZual+K6)JT)<+RCnCxV_FR11R@jaB^V
zO)g8D1Zq)4hI8UR<imX8rCfX%U`@1~9>Uj-*_vG}dmC1)W?KgIus#sRP3blw91*or
z0%n^dxjbq$7ChZJNDbPL8&L41&6AX94RoC_@*dn>NVwL4Oy<}EHZra>E4kypdWP!4
zY5ZN~%9AI#MxEY=AFYpb%gd7-TNEVVPpuM4?qoDz_Z3#zDjpYCJrCFeRUtoiA7ORd
zGURFWF}}IAm4Va002p$8pgNIAzwedL5rEDegw{nWX#<ZG^&E>#ARaXV5mB&86yPoo
zKvmBGo{1x>VH@4k8~W%(57yoNyh|J$Tmk%YME>vfJB>S~yJ-N%x)N2)7L{ZX&=$t+
zja@G1&zSO#JkDj?CGyp<&aF-!`xyH!i$&4*x&i?f{xvxY7)l5O(}D9?%bJ#+K9$%9
z;ADcZA&^OtN6!a4kq=#v&oOWYP=bZyfDas(wXuFkA%{{hJQ#9pY&UnbvXU3N;?}#5
z!3)t(ya#r3f`_$DhvUd(F=sAdnBbMd%F9EOg%p`EzE2#5iv+01pUkhOO5@ziD1R)O
zTLocK30cW(eU}l580-R)?G#+VLV}1R0QJ$q#S1g(U7pDR$ID2icIYl8c9a=40FcSM
zTxa;@@54}|vsW!Q*c>z{2MS;J2siLv#viR;Edzog(HagcTJ1pAuBzTS$J4BMWNTRP
znhM*9FfJll44@x56{Wrf1(j*Bk0m`UnbQMb-Chu_T`dtGp3l+kv6&sTtzOtTQ_~M>
z0kDVJ<6$XewLY@ES}GM}f6PPX3LtJxe&N)0Q)WJ1j)8lFRG~bIx8i8U%MS$xY;Z|z
zb(3SbmY8l6xg*$sfofSWazRG@c82fAJnEG;ms#zHP@snuPYkj`Z6qYrQX{qHd#4;u
zjwsLlh>HO}!O)-%389t;&Pq8e=4V3i569zl))g!$hu^bxarwd_wS@@=!K!xZhxRUA
z8*hd*pFePI{JwTIeOgFiLTu$j&%oD`7d&+$5>{6NriE5!g@;z%UMwyxZQ|tfoxTm+
zmcU8C6nm(@YSV{d66WoHs~$Wt5ZT>aZ1}m)B=e5E{KOQeH&$^ajgD?+Wvzu^Q%y}J
zE8#9lgW>99x(A02V-YVSVD2{p?Qr`99e$n%DeYGuW__>#dchtboFl-bK?Vc^WNrtZ
zN$nlEy*ukpTJp8<U9*>Ap)y7{>>5?Ehh@900({xy)R}yuQc?|NDw2IEim_Zo0S<dA
z1QE=a#;Jfv1qt_YFm?7FI^hR>IN!n40iT-_Fm-@NOSHCWFCv2@?W;HRVy<GjuLcn)
z>iZX2g&0Z8#XW1q%U`9|zp}Acrsy4nFd=YjIZ&dc200B9b}-hUzhh%>M!2qeJuqI-
zCc=Wg{~vY&_G1`8R+71%2A*2#MvgZ+k!+-l;m5}GLWKw%doewpjKEa}Xj7i5nHdX@
z2Y$9hp|E>_xdT0?Z-wK=+ESp@$_puxyBiRm8iDb2CUB;Z%N{VT8q@U(`vNyd0{i5p
zR#n#t?(6bE(1@v;b6x(*5CCV;>fh-v+#ZGU7(fLO{#+i~wuhPSW8_b8_gu({+7!vY
zW9K@b<C*zX0$03|<U`-3FFAoG#s7D{FSyvblzs~%@U||6vn<lB0Rk&MrL?6?i^aT;
z<hS*U{e#goK_w>N_(!8=>&+E8h5gdxg<DT?i9H>(6n@hbP^(ZN?CBLgKBZ@^j(t+7
z8jtm2J`UPhWNMalGdY`)NiXOZ_+1XmXvwVJdW?2on-z)CwO8Dg%j1AYFQaTLj(ZDo
z{05O|=#j~YNLvXjjf1D&YfG!@>UMs_f*9I6TuNpN-n-XM*qHlAwRCo8TgB5INc#VI
zvE7C2?MiTipgw4Aed-X#a(i*Wsf=Q4#ro@^`?bLMkX<mpVOUf9Zr)%S5Tkll_2MkC
zJRt!>?sw1fs11oNxAWN5&XcGvdahzE*2|u_3`%o7T0udZ%OIO%5RA9v@fOw}{nHN}
zIo!ygqaRGdd{$S#*0H0q7P3U{NBa~>)h>K*Un*i+%6#@}-hq44%F|=7@*ilWrrQKY
zLZKa0U{$rK#$@0_R6|APvY5|8cgQ3E+O?CssIq+T$ZR@WY<hZn_Q}3avlH2M^hFbC
zn?b>wm*ge2fF-+*{P$6F446VE3MUY~c^g$gy$rkucXJz@M$cICD}g&^soG0fs{6F2
z*XJn8Ykl5kCU-ynE^XcMZ}F)#_tq7G3;Ac@5rkBAw5VBSpF#~XA}4~!2i1MxbH!wn
z_JMP`FK~;%FXeQ1`mw(HX$CPz%K;q1YLLks8iGLF1PHm+0PFaDiC9m)obh4uNWE~U
zse)3<$PK_$(uNq8y%j{T<Jfi-kM}*vmY2O<w4$K4=W=at_h2~@7V$iS!v`qAgxmO&
zP#zW0{B_Tmw@fGG675Pcf)Sx8MW>7Ms+C?Lw|=2Mp3OcULkQQNrIkYDgq9hSI+bPZ
zK1P?t)Q|qYs-8l^tH-G~u3xA14deFB^&hl(DT58X6{ByboPHxJu&PEXTUhdkhaX>j
zAVS3Je3=?e4j{$I3Gz#++PPydeNQ*`@Ph^RlZ2C~69Aw^GLr0of<Tv3fs$WOd1wVQ
zo-w!yLz@3wa~Cp?aj6k;(H&l64_t`4;&H`cD(9T4<ZP;DHizEH27vQCWH#nb=@>Q?
zY}%H`B%4{!Mf?$T?%)z4@(gIHB0NeAZk%v(^u8CuRv@ELNup%Z^E?mQkgq<c(NgkX
zVk*4yns4ycxR6zQQ~$0Q)g$T#&{56=(34oS*zh_s_BXf8dy7zT0cFFgp+Spek92$G
zutDIeYfWY^U2a2L=N&c->c|`cW3zqnMi4=A_xmzIo^Xl?lrWzSy&#c5!vJ(a)0NMU
z4ZRRv0R0*YXY`Hp!D)xyZUdgiMSM4xt<N5clF(P(A2h>_`}J2M2OVX~nD&c+y+OfI
z51lnEds=B*uh5aWEV`uczufqtgbb=|j7vUD@GDN5yk(%2r-FU&{mo;rNzj6bO+xb+
z;(j7VU%5-L4uVmu7i49r^4ES(ISkXYL|>bu$G|*YT8>)m&dmt7+9Cwp#x^{z!)#2x
z2b34|zYXgf`VnWiv`PMT@8ybL2nhd_q_lo{3osYd;s-uCf)3v69#e&`=?G_sw+Dkj
zS=px)DrYSqy(Z}PK!xN*iSo{!8O5qa*61J$6IT3R+7A{`mA;X-J>Bz%0=+%&91z14
zDBnRjr(!YI3+kynZeXV?XEDCDZs=?*QZ_?+3G4+BDh!W-TJ0(-DHZZMyD3mO(^dgy
z-u*vcxViM5=ovq1k~-^0_>sqc=leU&RmCk0Q@gupi6>#>t`Oy#q?`HZ(u(J@lcSqs
z$-wNR-}pRF<Wyc??}3h%m*>gwkQ3c+!u6l?Oa#auIhcd}E6h4n#REg0t~Y`Pf&v0%
z0NOe<ts;sq_}DSM-g$A4C_$%6VOe77K13->JsMgL<Q1>l=YL>V@rb249d$wAZl!Om
zp22?UKuYx+w;M6(u**dc$29RL<@1QuH8cniA+>593D!pu5*#UqZVY9hVsj?Qi{e^%
zpp_uhp-8^%2BPz+A58;&Gd4P0%TKT@M$Lf~oiUH>_=7l>y&l|iDy5wy6jv!v_8+_{
zqZFR^hsV@~qU|b|ybsd}(o6AMb5oxP;70X|-}EX3;`!N>NT;W&srkyj+HVPUxB!zG
z)LTc%dKwjN`?H~K6E9C8Y;uLhG&}DtJrr)YSOA%p^WDz2?}qbDKV}SFZ^)zoLNax4
zDZ3-q+9vvyP@WAG+Nk)Xg{ak01#g6!s<kAD+t<w8-22_TceR0l?naJ3aOqj8but7?
zI^ZNbl>w@&^3WKjzAXsj@L*!ywL(d24#jEYr}^OW&J!@I9GmD6EBB|3us_Ba_%bB4
z+(bj4?7;iTH8{nwt}%^pr*fhwH}Jvd?~BO6M3M~D%wLkdM@h|qm)|)b;hbZJ5V_fc
z5f=dp@Eh*Du;W5r?v2`AZ3Fc%Ga9vwKV@2V7l~MdXpR!_8q|DahGA=l0Ww^7-F_gV
z`l5~%wm_&QKs3`}W^FAw<^qldeW+1RTujWTOFK`DIUB?B1PpD!`+xXWL-9{A36o2%
zm)5(O!(#!|sNaM8{Hug)2>3m({SsHia_kxPC~eKmW!fPc>POyt5NoI20x1bEv`wiU
z1aQqiHrB6zgUSf1-!nv8zlb2KfR3QZxP<rCCyx;zhu_rDkiT)`#>9{8ZHv<fV@dA~
zAvck)*}Mk)NJQTdLav|mMLQIKO!^(E?0OB+w2J7#psxpyk5GK4;0^%B8*yQv<R~51
zW#e*5snf9sw>-IGWN2_BC3v6x+uMSuCYk=itndqX_!*(YiA;`Go7y(<($QnEw^49t
zq)+HJ0+LEZE?*rk#PiQWYd=bq3#VJ{pfT!vTCy=|L-^~!(W|SwXNkuIth8mAaU$#+
z^s_+ICe0w9cR`b0=HKEW{@HLqz~Z7~;6Z5$Hcl_fc0^o7EDPAOe7SV;wi`)rBLD<u
zU*>>?m0&#a@#DvBL3ZKDZ4O2UAkp-z?em&{&K&@q;6{VjURpHTZS@|KqKsatHbq@t
zVNcoloFsgSc}_(}WibzKf489D7gKeG(&?e!D{&6}wr)~llo@`Tl<GLy8qLp{Ty?!+
zQ|j3as3lgH*nOYJ{+SJS8*yw*R$ys^d{&&e&B0A)7Qkm3A#3rUeO~3|<+bDQ!*W1^
z@&u1OBz?iRZ^+oTY-`nEivt`tPa+P*cE9g-i?dtLUVVOYh=A-FkRHKk{lW3xo#&J;
zJ1~3|$}slcK0dPr_r9^tOibNOg(4Nkc*=EcCak~Dd!Lcz)~uQNck(^=vOHUFQqp5V
zI<my_$V<lb;>Cvw9Ux+bX9H97#={iy2(6+A%f;G3Y1=YrVI-!++&D-)3Im6;Y=!bH
zLR&?{pwm}5xR;S5AAA7NOY9WF<k94#rlyXCjt_I9psQ+tV+8frHXLh8imU?Xa;6YP
zR@bndNB20E^`Km9W^lUe1uXKa8cCZwIYhz|>XVjNf#(FMbdmqoqdOK6Vp%HH)Zc{`
z^K)KPd{Urn(Lf)*AH9L(qX%fo!g7G^RrDxxqY`fUr?D?HDnU7LyU(6=CqZu4kdiw>
z{!+yZ#CbB93Bi+c{?yGMY1x3W`1=wjn|tTyTRGd<*4kzq^yx5-_&w=}>|UTwwUT6>
z)q{W{ZyB#77UyPQrz`1v?;j?BwE8)APOsC&RWH!K^Xf|lAG4gF7qa}{+??K$ykOaO
z5^8~grE7(yzKB1beUnM=58GQJH*vy!^@H`(7I*I=Q4HJWyvmjUH~2)NCTa*kLGI#&
z$`FpY%uL?QwcV&A=$xXGkI|;sS>Pa6@I8HcAk%pCIpz7uzYtbYp*TK9-A5B>?K76u
z2iy<iklU^tv1}m@&+hNVsJO=s^iboq?zyO?vTZ*zAdjW$<a3umm5TuOISjCx#gh8G
z06bX+oiP12l=$T+4>TKm1HFA5A59oB_#zKw_{JoKrN0LbdQNGJ_g^8x?se9_I?qk6
z=U^n>bCb>`y#2}v#;V^O_GCrihwcp$lxtPrW*A@8G9a~$M<(<L0a*s+A{jE(Pt_~D
z0L8h@GpH94@TEo+DCAMU!5Jtn4%>pYI34GIzFCD3MO{RM{eH%yH`Ub3W>Ye}TYgUa
zEp&uG57;M70k*H(<<i)jwREBT>$&6>QUtVsYd-kMwFd-7qG1RYiZsZ8AprcXq+n}v
ztsi+n!(KwW-fa)!B1sjo9L-pOW3q*JQh$uG=NLnqP%S0DKuhXY^wO=pw0EZ>el%Pc
zJEJ~ncD3|W$31A&z4~J#1MuT*ZZ+#u+p-niJ<B$^A*>B4scqtz2Y1*UOkdH-obRGx
zJ<I+*BkK<*+jF0h$s<*-yxv(oYFjhgvbPC{D<4#+I9!wgs7Lz>2Y@C23_EQ{AC)Q4
z3Iq5oM`9ifM;tX$*0U=^h%xqYDm>6Cz~se2d}4`7L;KVN8V_dwF%1(oOgf*<Ph1F0
z9hW~Hl01oy<-Wl%g8+yDxl6z!v)qS_1FEfyAMXEg;6EgN8=&#f2JLbQw`UrMl=g<U
zc&4+)OS0jO+loL=Q`0eLM|T*D3a`0}2p6aWpdIQqgHSp!0SmI{+?g_vii}rhHoQ+}
za-6aPPDRj%Z!gZsZ5<vi%NBdX6pJcSECa#E#bVKFyFV1u*4i{?i+Oo9#(tsfEbQdO
zJgkFTWr<yuru>niBJyY4MlGQ&g->1{Se$<YK8eiS?rv@jvE5BhQB%Y9ao5r-aKoUn
z<YdhPV=eLQIK~V1p)y#|^lzH?OcWI}#Lqyc!dR?jdMepC?U^jF7?%Mx)orjAyqm{3
zpI#2Tv_7U$Dyn(RHuXACX!n}@XUqs6U}N)PVpORCrXcm2pPyRC_d|QcL>RCwqmJ&O
z<?%x;glEJ40mW-N{s${8;#SqpAkg@>h#qM}TiXLj5WuF47~&@ztz)*FHhH@gJw^jP
zf&MFJ2mcc1H*BkaB@SYx8z5Gyd)>E3IL|W_)%6@^bmj;$cH=Z>9~`KVXSM)T6YDzr
z9&(TA9tJ3H*AYPq0L*|xzNZ7!PS~dI^_pLz#ch5Xex{#aR3r|2WV7<pf9Ct#afrma
zMXZg*XFAJaTj}EbUx>8VDn9VbO5etKe=)zDjF#%f;Z|(L_?Cm#&6fjBKf{6k|7}cz
z8u%Ef8yN$q=QbmPi;GK7{}}W%q=x=-UXb(KbC1?RX|ZthKVAvO&+z=UaJGq9S8Bb8
zz0=wBz)}8&OwL(I=sD;7<%RGjrpJA5yH>`g>FMncl9Fpy-yTL=fFyy>+NpIcm>Yek
zc*ruxaX3gV_oAbKp3@VR!cDbygKqdNGk*O2b(@<#{`>D=n;z58yfu@hnH|UM=mc})
z)3=qM-!t$N-&f0<eip|isg0ftVvt+dCMDad$^b-%_9z%ndgxbRcK7bstfALG$;22W
zS0L7xho*o+T^zgfzw^A+mywa4_Zmedb}Egk9^5(iey+Fa2m+<lhF1f_m0cRolke&t
z(iAnng%odUjPFAz-Wy71WTE6$B%STM&*?^!lZSjxZ})I0b$1V=xD<aqX<ME3Pxfk(
z;JM2)@;C)K042rMXwsgQZ_Eb|iQF3Sy3K3e^5sE#x=8Fr*f#XWKc=}DX&5Q#x=;OT
z%kHV8Vs!GK(r~CYVgSkcJGNLTSfkFKw49y~27={dGc#xY_C0-~cmh(LQK>(HSg>-7
z7d6+2!{KlpQxw=h98dZqNnqLhd$IKPy?#L^D;>%KGAGum&~n_nO0<{6gcsoo&sn?Q
zy7cHlx0wks>d_v<j@Y~Omvh)+-@Q8n=M65Nvag~Fv1C6`ZkHfBb|+|z1sAw-ybK{F
zY~C?_>S-z9P^qQr+Wt~AJNq0{JK$o{^lkqZ(Mko~K{Am8e6bj%5K^-8UnL>$0Oxkx
zUf7~abOD_1!VQLAIUwqT_e2FW5OObmLQwO+SA|V6du9J$c4zVK;`7Gv<xXAuUMM=m
zrB9wR-eF{F3L`lm@o(X*TguLu^!*k33c9#8HM!(pBmFEelu$MBFba_>(&H_IjMwc0
zB~vlNN9Fl<@vUE;928ezc4-al09z#>R>KB9W=PFmN8!h@ByRt_O93={E7XnFmY{xz
z1)b%KWn<FAW*qS+LBT8u#A+x}dmA74{p6s1s=5<RX98lW(jOOxgT9sfQB(DsRtFA`
zzhR<YcR9ewzuu8y;Q#S`Yx$2$DRCc>5(+z;CaiXn*@8nE{NJKc$?@bf@=IVI-uJ-}
z^*=uQ>UWzDC^rawPXT#_u+#N*!X*`I662WX&-*ls?6p#@INc$V$M~x2^iu;@i)(Bf
z{@!e;?+gWq=mlR^9=p%=r|%A71M;e6kMDbdp>a9TQ(=?xqn8jJHQRZ9jQ0IM!$LLE
zX?`R2(STOw9St1g7p?X^6}lGsU8lsTwfk^(2>DEdNM881(V?5KsR4hLB?h`v4Xi}e
zM&%pZ?hi)%l`tGhm%u99&@>SvS+PG?(ABV3R>{agPsbje3DQF@Cas&xV^4VS&xZVb
zB-V5wu(;QG{pkVTWOWpTo|Prug3#^dz|ihdGs4syGHCnx<BL9dA_<dsK_7PHT%vd`
z%s5&?832<?*rbn^%fylJF)I0u=uiPPiE3T5UK+bwJ;*;&$RmuN2gM-i7QVHU)S|<}
z$TSYnhb#>XdHGJqX`I>kWzoZ*W~jtsDibje`UFVBe_tNlne#>2aXIl70&ky%goc)x
zXy{Vm-`Dwo0IZt9BVtBK%KhBfQm)MHix;7U(S7sw#j;m!D7}mN-=9&{)1s${5c?+Z
z_E3$mlXgU*y=-c?9&L@)<Q*dE+Lf@g2HvLmQ~u9ievR>{7AUeYc}f0H9!^zydUsgr
zP13dR1(^RyG-9B0DooGLwMbv$g8q*#%OPwaXH7rRcdfNWUe<eG=HqHR?X6@~<#kSE
z8~yz@@XvvOov+pT#-6l70SK2UBrMB|-IIyyF6GB&3Ey=b2?4HLnTG8_Xb+QS<R>LX
zilFDJuj+TnMOekff4>pn1tR7EarDJHby4!<E&A)72s*$>WYztH(!gaT0ob?^_M{$H
zzpmbtarT~b-iJx3z<1xd^u{VzhF`JSzs+iFESRWFiS5m?>&LI2$v(iCG1=Wi9bM|A
zcT@O0O$F9}P;I*|d;<n}=Nh?=R%F77&L`Zw7DMx|^5)-Y7N@Xjw~JmO!<b?dikT&y
zrg0-)d*?8c8#gt9nm0cS`>8il)c(Gt!;;fE1CQ258Yka7g0lFqv;xUI^?(2kC!ugw
zjP`3Qpul3(I&s$w_6K=1Y$V6VSDb!>N%IvQ+5M52Dm{@c+8a+_fLH5D3LY)mC$(C%
zDdXBTC$a8wr|32ko}%uP_;b$`_DEQ)_ugeb1kYo<`1=unwU}#?T^Eq`ysxdN)3D%P
z1foaDU5O&&v9$5|gB2KUMN`gG3#jZer;_1c9(v))KAfJjExX)ent(aR$eX-N2f#+|
zqi-`Baqi4f!duX5g&HiRn=y!RwK&3x#LkX=3v<FRML!fwu8h#27;$?~G(iS=klb;M
zMee_!rmN4>*EF27$p6Q1jbAnoPE>u8)30Um#2n~<el-S^FR#`K$vS9ditO#WyB>4*
z)c@n`I|H$L|A&txzjpQ>sZffLol#b@v$6{nS=oEEZIzJB$jHpzH0-^}EO)Z^-p}W#
z<o^EOJ=cp~=sxFM*Y(-^078g`_GT7ad_?+P?v$-h^~u2&)G8Q!W}oeBVA9uWB7roC
zqiNHo%PCM%$iRtLARak4NZwZ1YmMVBwzpU-N)v4ol}*;bq0KunAb#b%dco-fGKKUV
zZP{;*BG!+Ca{Tgah6*65=AtfC!BQ!kCL$t(pmFc6CQ~yljvnhDrQz(iwayoeRoIt&
z;D?}X$YI1fGwpI7yX~~O_f;1H5i&~Qn<!7ZEWSq(wGM54e%vP{pyKUChm^z&h9F%R
z*{ox3_mT(tU!$eYEZZx!!TQ?T`o!^B;z+!i!gR)nwvOKG|861$-Nch>O{?KLKTfv1
zbE=cf9vw@5pdyRttW{_B41%&AQ^Xr+O-x_wOQ(z$Qo74wp}MNth09FmYQii6H&B}e
z3g3LwW36wR^z?+G8*wV_g~a2T1!F}Ojn~VWh@2d-qfuN`cMU<4>2_CNBIL^iHHP1>
z`T11&97!#!Iw@BGS@~OjuvuP6akuT(?LxYHMpIRH4Kte@TICcK0HKfFRnT{oEb?B>
z&myopDjq?p=sl{W=y&<3;qi$btpodAcO58>Fx~y~y<g%0VsHfOUJLP*n986CgHcv4
z5n3q>O=}SNK4z+f#1Pbp)DMa8lFnvB-PcI?vkvhJL3t&4Us_EbG<5rsi%xF&vkJ7K
z;jWfl^Z5YA;q!0)6%~z-T!S)$2VpJ3*`*tqN7HjZ2p&4*bJX6L=)kg{@;j!(2))(b
zLdPh{-j6?v8ovCm3h&gjqrTFrz2u=@&&B#mP$LFm8tw5n_Y2OM_GiF%$2I@qbF#P|
zAE{y%m%`uKN0k_nu!Ehy*>s3-$w$fDoj<;K!Y+ECY$8+6AKz{B5x#qJ;Pu$S!B}a1
zeQ6c2I8c~H9q!G(Yb-;jPQ+Qc;JJBW^6nw(yEkRU7d|kvlOXgl*u}XU7MNGxq$J$~
zxQCLZ*r(BE8PB{7txudqe!i~M=_U}?DCSDM9v)1_+xz}xvG0DQiWdui*wyMHNdt#s
z8Rb+*p?oK(bi6O!?)!UtBeebt?7@ts#b+xOF*_bspNDdH%0KX$im<gpp1I#%z&pyQ
zh^uSyxxMua;38!Wqr?1S^H=E+h%P=gdI{>EcCx>V++36cp-7H_@kpwl^6iI;P#B9k
z8+VuB7|L6CDa=8MP6tGuz40R|!Q4;^VAk|_DL1DQY8@mjYTl{6m~J3%5kPg|%AdLa
zYP}K1wy?|rg81WfhGPaWM<hDWdi9Q?O+_!NjROjbT;*pNl!kQcil8Ot8D<e3%9i-c
zkc!R-c>Mhh7I%n&;W2~1YRTU6Q`{SSovGI_H?CLTKi4(T0s%OL9@lw3y&lYTC1R39
zZ+B;_iWmK8GMzoP7_#8ean?}|6yRhDdG~)B0U$4KyJn4L+w0AzGPBq+lm7GuE1cIw
zBn`Dhiq4jX?_LYigmF|;DJx_PGnzX+g{rPb^Q_(~i<8YSt;wNkT`=ReB%q9@au6xh
zkd5GA@Kq!gYkmZSo;7#<pPuS2=DboP&M2>kDyV?U#8i4B6NZMf*AT>f{Hf{sARTQF
zH5BH@;qguRymLXbR%e3tUdjs($f2*;u=C?_aa5L)ve0r|9a7}pDzYz0tzN)!C(1B2
zx7t|59ghjl_+OPeE({EU;6V#Jg7m-Iiz<XxwItp$k+fD2*JPi6WvpKx(PDVtl*a-2
z{{B){)(()NF~|Os_~Bg1@{quW^ao)-Up;Y_-C0D}AL&c{Pm6$Vh{zjHd#rrf9FO^s
za_UeWk)?#V)VY54kNl(La8BvH=;kREdkBLYT)+IkCQ~%nNY3S?o}6gxeaz|rRG0D4
zej`qsGV)S>R{-Q6@N8*zngXdhw3m3UwXL&;P=TIHi&xOr#U3*_Xl&+{J(-=JncfZ(
z%WVF!ZYgPLe+HUsnuzx;`C}A)17$Z8x|7Os^M9ph$mv8kSsSh587=>P+E9>jnzeAS
zhFQo(wMb#W00fu6y<y){-g<sPg0lMo^>G?pCvou)grW$&z+PrWZ$VdLsn|kLh11#?
zLfRT!ETB5g>h~*W3FTD|zrJ-Yl?iXn4gJ==zMqz%)zLRYL^`mPp20XjI+|e_@^I@T
z8Omr8$Hd$5nAGL2u8broV*%6A$;M8}dFb=e8V35>BU9R>0A(~b^q?0DQ3%ZP_0XMg
zfGP=jvQOEaf3@7y9zeT*xXXbDa}XLY#3b|HVR&(d@pzgPm|33=D(+RjB=YY6;A4-9
z1E?8zTIkDrd-vPu7j<>>*iNbuLVjHkn1YQ1xk4H}0do6_!V_Df$$LtJuizl+;(H-X
z@eWe(`wLCvTG*=|+<^(*-vZUdKN}5KcrWhA6MJd5^%?2ewf>-MB*brs4H7t?FM58t
zx-Eg@J`ufF=l7ZYJaiabzSsE=P~3;A19sC<u5?E=#jGqF$i#qZk&SVsw6d|zB{8X&
zqWSc#?++c;YiSZfZ4chtu7&?dnO^@0RTB?uh>I<3=^}PjKq%PM$b&Dm_US@XF7JfS
zU4I>Yg^_|MfxpIk69zVCph*V1i=)O|$Ho=z_ynr1&%P>W9|<e}UC{!qGYl443NZ~#
zI-WXr${7z*3{L#uLirQ#*}dpn#cb6;OV--RdtsFPw8@veR?L?qb04y|>tzv)pj?WW
z+5fiEr~<`B4v=>Pt5gZxVU=jL?(U+;Z1iW7G0{AH0y9!8=aTwKCQrqecTdVf=QR4^
z_tGEDH1k<&q`kmR?Jzk(@OvLdSo`1&ZU`a7NFI~pKOktb<iLrU@J{tp5jY%^UHo+e
zdUUpTHxr<Ro!v3?qs%XYq4H8srZf@dlVO+kY7YisP;$RgYz)P%2Lz$@ACASS7u8_<
z+{<(u`OJJ=!~x^?oLj<06pFN&eW0e>RC%CbKmZ5H2*kSC7T~l5U-1`Y`499ZeEdis
zbY7bfH%|M6@t8&(B~m55J(qN0wl}9(@s(u)*}@Z@JL0o`58Iy|MGUw~_qa4(y!7(+
z8njc@dTo8ApqhfHqC7gu%x5?>QQurCln-_@**`o!_%M4>QSlXYCHPr%_UpO?6sw@@
zAzlm%jmI~G>wLTWRirAT4y$0h<m*V0@1>iLwNop>y2X^mHC}c53#8O7&NYyC_c-IY
zC&y!<v5KN9<qnr%A7Q}OIgeT4A-rFHh5K4min5^!{5KJvH<y#;iQ}nNp&Nm4n&B?Q
zkt)N{Xb%YKyw`tl=)Zl;2$Am>CUy&Pz3L7YC|D%Y1C_HYA@odGh!eAzlIpdr%fU8E
z9`@wFIww+@^v6!~c(hOSF{@?83n6IVz#;$Nw_rA>yu72|cTogpR;%BW@xfEmqHE+<
z6&JPAL`zIETGZ%z$)WTQHPpgheR=fAe%OOj32NV-VFA6rX^U%i>hRsuG><U~kdj<G
zkj=1kJcOFc_EHFpPB>dI?|ET%aQvuZm?blLSn}*+M{yPPbew$%-&gY;&F=U07(DgY
zak3!h544ofyl8GFbJN-(xtq4R14K3OzOdQWVIBX-v;kVEJw%IO&w6;+`AvjcAA#5f
zmYI}%(e)?Ppe?<IJ3fM~dy;ZOPQZcE?jn}0$x*eK#H=dkANzeqbxB-Uq@nz%3Y*3$
zOWpcjy+8H9W9Nd4FC{jHku|n)g+kj=o}QZn<hpM5N(<*$xQ%(`S|t{_Sb%1+fMguT
zX(3bRHvHth{s{u5hPTA?sd+*XrU{@!*>d6_BPYQI9-RMUuszRZPmW_apc))XguJlA
z5(z4<+iOtvU1j{AmQ~Oa32dFe{lEY`a4iy{LIvEYcGq`xFBzy0ZCEvUKyAkvnp12S
zw0MOp>UC+8a_q#MBwLISByaPxZ+iTP3x^iPKPf^ywyf#xp#X3UVksXP4RpnB4lM+8
zHB|&(^?*HKV!vEb9B6t4;6aYf?pCC>km5Xl%N`f`5WK=zN`v~nS)WY3ju8C-znAma
zCEd`!1ym-+t?>}k*^y`AiaKE&r>+I}wX0Tq7aF<?fz0z*%qmvi^?S|xQ$Mr*PboJj
zl2rcY-4w!FiyF#-q#+~@<`r+ciz0ELAq>`~2L6(xAoFhEJ2gtq7yo}XOoZvypKe)b
ziygC{DT<rt^l#ZXpgLIr7SGG*U~<FE!De2gRoe0Oh38e<b0sBPZlf||ab08Z@N$}W
zVhaP&X|{UuR<<43$YH@|Jj_#H@7qKsT+1T1f{Ci{NPNPF>{Dji`K(?yj?tYeMbQ=4
zF>uF#>~V<wSKTh6x?Z-<=D*WA#UK_Oop}p$wJ|0e4zteMs6m2^T%{qHMN1}K>L-5;
zajZh6UpMO1TJVUD__kAgSBW8tToIEq|NYV^fiON>d(f@IR)zyhFMcO_fR#>XW(xow
zqjOE?3yNUBDA5@tY3x)Ww9m4&3#T|*_jg!e!Q;!HSO2DQ>q!4nbBFgg`YD|*-#1<>
zn<MEgUlPI$4xtH5h-DvIgQ#oPO>(DPhch7b5QE+tY!QUj0(siRKi^Q5<1{%tb84xf
zY709@zc`uBiI}@=-YPbxKeSp9WOb<7S75L*DOdcCkz$KtRBgD>N3}N9z_;g-7d%)v
zK(saB#OC`-55JhE7F!3+uB3z1BaW}$Y17{3f;oJNwO)`&ryUnX4?A*Y1P49IUWEMl
z1R7$LI|bKE@k>aYy>P*^HZ_mKOFoi>t&Imf`_PzaW({I&5Ri(wuD+j7ulLhf!iSy2
zYY~66UiI%1X;}G6#pXG81OI=qvcmT?WOSFNZWb5vzU}D_a0Mw+MZeQ}%c(=cLh;-v
z^MmWC-&bEo7<lp=mQ86{@!i#BP&Am$$GM|4hmp1L*IL53Aa~BheUxb+6p5!8O02in
z3{8yuAHDzjNs8b2W@G{@8@Dh*KTUjw22vT-)X30&Inefj&vvSp0*z}zTG$9QsD=1L
z1=M2D;2t<K^WyK$A$@UjIZc<)ZGC#VGUD0hOL^1^jP_>rFcrtuvvDy-5wMDIz}dt~
z%dsPhyg&YYcX#U|!3&z}-iI(@irJ{XckM~E2XzqZ)0_F0cZTPnA!<2{I~rKxj}N!i
zsEZU9Mw>jAL(+!hX{O!pil`+{YLk@OEaJ_Mnr}(=AF=&UdKiMp)s+fwg8tFU(?HQI
z@K&S8*FX6Mt0yzdju(cWz>C4M4h?Ri#e5hv5epL=ti%6f9K!IaR;$pbofZuUqNQr=
zPz7vOeQ5XNP1>$@<>Iq}(*sljOB1!DCxam?OuUxWb9kAwR1vgoaCH1w?1^zTw>mFi
z1!1!rLK1h!RaA-Z9i4^*6U4oYm@(I=pnDh!#-Np_#>Nn2HcJJHQIDe2Ezx8}H0we#
z=`Qf-Ka1XbAvMuMIPbR6&kU@jt`1a8B9@=#dzLD4-DWL+SEBZ})U~cjD!%)A3hMNR
z0u_!KnVC(^^*~!nZ{f{WVP7;c1hQNUH<tckVL`2AD!*{W5t<iPxU`p|bhUB@*Sa+L
z_;vdF7N_a(5c*QnzE)yg*IS|sH%PBM8yiTvRB?175Iqlg8moxVriakn@(fxCxq>#o
zhOVG!`dwFvi&L_CCL>y~$h*BUKd`U{l>*!3bgNa8j+g!weSiAEe3sQqxO8YNj6x6f
zMim)Y9O1ubk(_Fbwz@$0Omw9+dkZX0Uz5gyYAhKdnBz7)4LbU2GI-~$BOwS>i7zzs
zFb`_}^q`#s^iO^D>J^%4ht>hRPNTDQ(dI}dT_1lWOmEhxl@Ow1F`+R-)mLa(@n;!4
z9h#4;C_0P5JY<UWHsQYAJIby%mu!FANlA>^6Xp-BXWNN6|JYibEeSalBc{8bLeIeT
z&XH-&kR8C1Fw(fE@<0OfO1#@zd_%@_7<P*>*C4bwkG7p<im+#BxIAB{ud^ipiAB)Q
zwg0Kn9td>mZgqGupRa4ktXJJ@8tkyi5p}oaDrr#6t=?xWaB=0ID#mZ1?GZ+mUy3V=
zV#g>T2g!L{bHEEtVOCAPN${bqT4k{vYSYk80FVVGshtBMb^Dbc&kN}<{5>xs()h-C
z%_DDia6ZGVH?uL6;-0RxO>(z7dCF)j=-eV#w<bH&DiYO}#GpM|^R<R2pNnI165B-K
zDwr8^wIDsr;_Fc!u`8cH<jx<Z;y%CCxV<V|Su_DdcR!yU5c>BW`L&<;sXjU+chuPz
z_SC!DM&yGZlH+q@M@OZ6WSV!)s{n!g3t?W-Umm?-kLx&rgKUK!;^|i|upYb#1>+}`
zaCcvsQ4`hOKa1bV<}0Im^X3WZAXZPDR#p!#n+vGx(>><${8+?F{BN5sPSl^@NlaGx
z+can`H;6xnqA6Qw_%LA+>WAKb_y+~`VY}4)ixS7C$U;WYzGKZQJQee@?cn-EowCSG
zoX)pw;gY%U2ksCoyqOzRmZAC9S%!lgd&m4J_YxF9$8?zX6}12B_2r(dq;Z2fa;r(@
zrBvcM7QNN>PO<SByNb2R9gEr>^NN+H&=g$nEOH^_eP+LmHlwquN)8|on8gW-VwaX6
zI~Q8GL;UdXdJ&kaVQ&^@*D?C?AX+hcPv?P3a<}4%lu4SMa}%|I^%q%c?vh38vO-`T
zf>T^G2%c71V&wb(ycq1I(WVgh`=A@K?7v1qRT^%KJ=1=mMU>?T|HmtS6Nqo*5Nh`;
z=BAywaj>L<(XO73hrW4W000MCQGXj$xc~0KLnr8%wf8Q^!!Z)&i)8g<vy-GyTHNxl
zV={O#^U(%NgvL1#vSWCj)NF%#Ij<Dg`oc!Zi{^gGZld)??49WJ`M5n4nl0bwEUp|B
zywtVSz^|`&zG$w(J~jOu<=Y-d6L1_fDNVV(W1VtB{Q)<gHJoLUBB^kQU*wU3xUk~F
zU9uMgW8>o(nB@VDDubZ~pZ_oldrQgDu;s;(B{=~%aeuSlno!j-(Y5xn?UJRzm7kq%
zO)3BBRUBv5M~Wb)P1{)t^_@hmv;<5IC%&OBn~bh}{rfS|Z9n|MfmXqC#&1-gZvEy&
zclLO~qIA%C&zGkpZCBfJOnXSvpf>%W_B}M^%B2r-Fri4t=aFB8VC|LLw{I_?HAqT-
zYVQOf<7z3ix697brBrH=kIAz$JHo0!M`$DY`g~aH;^kq3?Z(8@t~#s2FX2a*{m`O2
zpex7zZO7%ol?s1aA6d=u!l5Oyx=^a4J9U|(r9+Dw1CR<ue^AqQ%0EqL<%Y9iLjpuA
z(}lwFAblN-*@_YHB|eJ&pPwZpuU4QvAoOVy=03=~Bx*9+!hGXOXj@RNRN!l!F7D#8
zyz%Y;v?cE7Xo}GXrNJwrqgD7`1Gx^Bps9k2lfPM`YXH^ny1L85r)LW~tmHatpGT?~
z!8sy^!zQ-X1Irp&wwYQ4D;8!-FcyFy{Wa-w5ZwFpfragYr|@P|paq6$dZfj|kDU7w
zW1|i+m}Qa^R<}R^uHKVZGVaZ>)ZXZL#12IkC=}|7EN~fAZbG>sL_0d><9W`+0A+Ha
z34J3_#F)K?mI$Ji;(Lljk-i^q=kJx(N$D5<%z+w=^Mwm72|`x=RN&r$7FHSp{DV18
zo#IZs-y<=05FI9O&TXlJje==>>^`KMqeFUipo%Ugjsv=(uGE%pNVoorgj+U{2|2pF
zzY)Kb(|z`yte3-%<*h8HFYOe32N!WSv8xoN(s$A~CLZ(tZc0o-S{Bxd|Aq+pWWmfI
zVa_1zJR(Ym7E#Y6ETY+@P{1sqqN0*(x(=nM5AI2od)|b3Yv*-KHokX4??J!r?ryVd
z_@8FGBD?!z9(O~Ziyf5uTh=Dnb1Fwzr8%aj_W35Grwh|g?OM2Vm-*c7f!VNDK@`*G
z!vZ$fWeL~)wuwe*$CsBT{s89sPPwCXWOcm1$8p_s=8^?AVZk5cOQ};Nhe_GIxdiz2
zmi^+)s=?6zHWdkRTkncRf6fCc;#Q%0Tz-?`r`9EG9MWf@_bI+Of%RHjybuX=3~;ln
zGjfJW=KiCt@pj|y4;&$H$`A8`&N&Tu?grMx?|}v;Ck3}79}8|;-F1^TUdZ~j6p=ET
zJ@B)lBw!r&*~lkVl)4D?F!$r0%G=?v)L}lRbvM;Bv-36Ep75g`tlDS*P$mm+`3}u)
zuDela>I_))cB<z+aGgk@1nW50+L#-ZRy>wSH^H%GuF6MtZ4&yZYozKTIE(bUt4dI%
zwTe>EjbEIj0d08W2DOFGb+ubF$G0y+ckdwD#(yE2rT|Bk*OjPT$E@|gJoT)+g@mU<
z`sw575;WHdp-zj}=_lD<`<WCTi#$l+i$CrW{rW4U;Q0ls$vI4+&5WFXo}%OXb%$rb
z*~%HlMo-Pk{1pU{@S11&nGa3z=wFz_j^5-;X5t_ssa;ty>{Iq5u?eg!a{PxV^uz|d
z$OWR*P<uARE864o63_rWnuseVDOsr)T)f^l?T0qa*h>;pt6wD3{4-v~9KRXLKa~6?
zbEDv9X6|Lkf@XRJ62!9nPvuQ?^n2z}=F`auAL&Vb=-!}Ymkhb*@_kS>nyy#wWoT+D
zIF?b%T6i8>?wE_;e%JR;lvlCEAEi0r_F%K+v2N!=s^3tj7FFSWri!?5S<kyb8CoqZ
z{REMPcG}Rs_cYDZ{jzjQRK>N@mq9ErT_X~qU4xDXq-e9cOI$RYm0pKg^XN<9EE0+@
zx&Nsk^un9d<E(yYAR60fe+NuZ(q#y|A;xYf?NteECSKRCnfVRr>s}0Vb!dt?v@P|9
z;-whYP$+7F`9H!Qz_P{mRKXcMYI!xdvKG0K)^!3`Pf~QJWeffAW-D86S$9DNvz(E4
z71^kyWAl@TiU}w8L->Z-tLhY*xxUk}YT}z!+nwPsE4hskNn!AmcwxQ!)oA=tk6Om#
z;Hrfb6yL(gK2l-bQqCH0B`L{w_+b$FIg-rEV~n^5yoXCiHEwiZP*=XyuwpRGkWilu
zh}=NutP@rLlcg^_x4wU|XpV;_m7qqx;Bn1%xVQ0rv@<#}3qWZdvw#tp&)T|s1PUgJ
z#eY5|)3HC<AiTYikd!1amH{(lD$xoeP_d;>gWddRiNqy-VD=Qwn*nVEq)<`DyONVz
zQ!ix|wd1lbs9hizzIfe>y8C~~gL6f1Yb>B!y$9N#3(AIV+wPzyU$Ry{2T=ZtYe0p6
zmb*;u#>6{z7wZAkD<Gott-pydw=Wm%NB+w1Dj5}|=}9anai}5gN^th)rqBg3^E8@L
zEHst@Lqi~g>IhVOyfpdyK440NM74|(A2R#)L9l4omv;5}ry;Lb(O=#y`#szt@`E~O
zh7(MCa%_UccFcxaD2nV=CuFz$S%n3gfR`>TgF*TFXk-U*7+s1q^?(MtiXeLk<=R2{
z@Q37#$NQ0yePDDp`OydrLSqaMm|eJ)P>YteL$^M8biNnX4o6&ueZ4pjs4+pT6`5<v
zrE}xsZkzTWe4XQA!j)&|AVb+LfI^K=R8h<iQak0fteeGW7h2`%Y}6sgb*F?CEFVUc
zM*l2&O%f8)ib!qSXSfiLra!s8TGwH3f@uKN)8R;l4CG&(rxw0==n%0BWYU1EgYP|L
z{i9RU(TZySf@GK&0Zqdq%b>#x78XrHxKIt0hc`Rm>0g8L1dOn1F)8#2k&^teUxw-%
z&;6w9;A)LJ>>wT{it<RP>%jMO__k97$Iv3JmIouM(DC)!mYRQei$V$4N}^J*(bW5%
zZcl(UF|b|fzm)~cjnou{%TU()JQv#YTxy`uHkO0RL>aJzzU5h9LUop)bAN)>=s6fy
zgBE)JT|dL4zkFF)n3J+tr16(922UusDCpV#mIt^R_rLkwe!m~`(aP|M@Wsz<9)uSs
zel#`*MfmTs?8$prJot<656DygIqP25Di8am`tG!<0smt_(V>6z=1#QmnJ-3vBTDBN
z{PEzJhes*c(@?x7dFA1AhJYg@Dx|Fv9caji9!;v>UG7B6Vds2=3nzS-&skprQ{eO@
znp<Bl@U}>(@x+HOkMeE}Mlmm}6GGy<BJoR6G!GqZtNilL*2b#TfcC!^iOG^H)6l&U
z?2duIQGAz7()DKIo<^J7*PSt~c;l+5sqz-(++n{|*mj>n!rmXRry;@|Pz`|?tbse)
z#GEdzpEMAKZ?)!Qr{Hn{$u_720be-QwgY}|+vEo5GH*_zk79MqIy3#=jjiC;;CE)`
znRSSt*`bNd+rmzE`xqtFhmUV`3fkS}$e&&pVmf&8;FEPIqR;a`A$Em8SwT#@Q+r7H
zrP7t52Z7?vc*<hpT6{m1EnbSA`1$Mvq2<1VIE1h2HX`po6@Ec+je}ELun&gJv~hB(
zw5pUAZN?=Q#P$E15}Ea7#dUFZcJi5#D1tDbkX9?E7|6$jBqXuQ7ruU#F<GV4oUL>R
z9nt)H|K5q5P1h@@FJ5L`Na_T2TY+9jw}*UqV9pv$lUVKRQsiAJN-~sPT$3CKa{bw!
zL6eAKtXGCfnAI)OHsw4)=$U*-TuDsJdYv=<uC|gv3u|1J@bP-eP96@5lq1Lswp20P
zT|kIXk#}Trm*lOJn*vVa{qk~(@PEqEDW<Oa;)+w3t8!XG+6Tj68(gI6GS)^Vj)ihF
z+tRj5I|09YxY{o2J@^@qB_^@=MM2J`_mZYE)J@s4oiHOA-%9mgjSpfvQs=@X=HGqY
z6r5jpzx?G(iA%RDTM|;v!No)?C@GR=RxHZGn0NPAr}sq7kZy(L?wXbEiG$rhvWJ@V
zz17O)r(I6+tEs)$zW$uY*je`-$cwWCd&m+oHF>UBtk<w`r5n;y4mEkRbe1ho*{j|Z
zW09fl;(E52Y+T5Lhq%k4gS2;7_h&L&I+|0C?e~FeFpH$6XwwZ3tSKw2yaot7Z_P|S
zmqXLevI7BhK-BIs#8(-*V=?tGAUgVdj0+ADg>Z3;JFn;5)0<q&Vj1PF$qZR(Dsxqg
z;JQSB(91Sd>^_M^h5JnQ@CjwsGEc%y;Z5MXMUZ*xx^UKTT<sUCIu_$3x!j#tR0PD6
zB?IHjc2`!6e*-n4=F#y~U-+K;=A1cO#aC|~-x^ENDGiQjHEn<aSK2hZv)-!XpRW;_
zWDck<`?fCc!^%a{4Hn&@u5fu)e@!}F((rS&Ev&KM+f)K8Q!#6C+Q3n^v2RB`a&3&)
zxb)!8bG@h7N+{I^axe0$9d>k*W+Y0leB!F8eNqHc(iHx;m)TtIvN4(FbsRt04V>ms
z?-!CJ%&Wo(64F_=*5^weIDP!F>v7-+VSThGgOpxgh{sr2hO$ZA37kd`HM8%!XxWdq
zDk`bd#wNQ3zkS1=EQwOk3_1aNchSqAtI4p~`Wz5lQjmoo3L2~A$J7sJSvS76rk9+(
zenZ89d+ALVTSkaXckKUp*8hNYil_O6uwp2D5r1}5xWRiUE#*S~rzhGKOTG>5B<Rp_
z5zhVMyPt#R@ROJ0?3@jLotOk(PE*!Mdy{<oX3@EGwb%8p_5XaRt*;!}u=CjA>zHIf
z-oNWm-SAysud}#?@6l`i_|nWtPrY}mZEi$aUA4^=ipKbJsM-ZkM6;*EIw0QAH<K{C
znfD_%l-_Lu;2+x?ey&;hw#g<jJT}KH!9{W>{hsJHbM0Mp2AcaaIuCkx-DoM5mUY(O
z_PqT+a5Pv`&+9szVl8yiu})=8ZOZ*=RZUB@PSRI;7>Oc3xEFrJla~tAoUKFO^#kV^
z5m8OmAsblx+S>df<FZ$|>Q|?V?^D_6AwNl=^OASh+4YIkQ~KUlv|Cx>xvu@jRH1{9
zgfG*`z8syI<jw*vLDwya9<l2h))DWZM|6WDYAC(5JqzYKW5LAK@Zb<nhj`B8U*c_Q
zYGqSIYvPQpSGM76XRhs~3S#$?#rFJ<9vqLM6Is;P{9h$_vt=!vG11BTN58Su-qlNc
zwxy`87=*sp<dL6E2e7@rOWfqw46VgnvLbpG#N?SKttO?N@aBy+>!_xuG?L4H{fq58
z$7CejdrZ8aZ%m(6^b@V`P|QaPTKn7LTFc+P71gwLW+r)3bzM+O+&Slwz2}Vj6qY{l
zguFH03dLh2^mc!(dD-!;6=yggvB~;ka*|hg<$@G&LxekEFSB932vD||y&VuEE&Jox
zdAM7Rr8z2N%$J@BzwX4jN5*kAb0!n*P0;r72pcGg31QX$pdx}p334RNt?4~;EyxBu
zxcwu>ojm2Mxk5A{`}pJK&wX=oE*<Iqz%h9PW)tJ>W%~+IITX#OgbK&2(0Sg7#t)!k
z@4%!^$sA;kA&0h^^VxEuG`e36bnx}=BL1kKOGD};Hxg<K{6>UjV<C;LthKh^!z*K<
zg+XF@lp5H;HPdzAaN%>@TECnAhmJ;T(lr|QglCPvDf;a{bMN3YUV37G_gkX9^XxfU
zfE-QR^mh8`pwbSm9J*$~{+oqDX+2YY`TTc%iA3-bh4UFk|0W1PN?++)uZ+Brk7pHi
zC;320YkIl4xT-d|_MB8)TV<<Z(wL=IFR~gpx~T5KRm5HIN8KLvjNkoAAAh+6zO0uC
z<K%TPLptnjSH~^N1sf$@Y{UzB4Ai-aoa8BAblw71+a0+VTqE>3RNpv(n_2I`IVEc&
zJ9~DrClX+_bkrMIW8_FrY@9Z<PZZh0BD-Tdh;>Et$Tjp%qXIjUjlB+=xd4Zo<g7EV
zJ=v#kQp!4+VTK?rXZDgg|C_WaLDn3~?h7c=xvSpy@|f;lHA&WJB@dD5;Tmp=$WE{K
zh%n8)3f$NWYpb{5<+CZG@nuc4;XBA-h^y8oApEO1i@zo_Mc#WvN0Wl?ZIdvEX~<>R
z?-eYGOQR6{)+^7Tp{-X9wu>p8eOYcXT|}a&oxb{YE3q~+z41McqPp1#JtD$xl>?rf
zzl)~r#Z>rUv?!CLcnA|7FkkkS+M;00vr;y{g2XvlS5s~xl&JwyW@z6B>GA+ex*RiE
zYnrm?7Q*bX8N*ZZ7hD8W^M+Rw(o(zLcTQd`usbrQGY%FAGY%H{Jr=lC<G#|B^R)$K
zPll&zbv3ET`nF`+R7|yQmc72xr`PhyteXyr62tl&!-F~CYPlB0e?FJg$yEWwLqc+A
zTKLEVv9tnEo7g}aC|t!76a-ZU92QGBN7>)$x}dTLF@1lQfwctl&0gPB-{7r!e|!o5
z(wio>Wd{IR3l`h<5|b5Icb@jR5N+<F^84A5n$kM|RhAAhhox=&t8I{KQ4)YJ<`8oG
z5rV{4P|*LqSp*?|sS}<wSSV>ikR5mj9W;w%y`!SlAzrT6C1@x4mcZIrF;R^hqjV>q
z`vAgx1?z^Ye8x5D2866@3M04y1FfCiT$hIOhGy@icfQ|hPRZezw1jA@=UxnAzS`q6
zLZBNe$SwwAQe^g8!?bWg{YTJUxlw*{?IqTaZ>-CWk;PAN^Y0)k_gr~jWmyE#+I@M%
zoe&*0xx2i&*n5un#^lnz`prUI?2|rQEXWLlGZzau(aYt1l9l~Lf;M2t@+S&bEPJ~3
z=*yslr$CR*4YJZ?7>RUy-1O?G`?VnmB!bUrdM$V57tYcAc}LhO)_VyR)PsDzkA)Lr
z)@|fq_9k-cl<%k#*#MvOb>$$cL;piQZ4XcUD;Ptri<zo8Xz|~>e`HKGU`K}GllK-Y
zX$jfY0$Mhy0y9D<rS2}~lY--kmXGTT>^QpMrVpu1H>k`$j>+-Su~9*RCW3<{a?aen
zwk&5c`cf$-F8VxrukOnrED5%4+Je}ljD4Z^dz3mBB=^fs44f%(8TpyOT>D-dSkw#~
zXnU6L%uYGA8xaA+#!|Phx7nU@s>sKe^UCn~2)n$dc}Ja_RmkKzsAFf)&oMt3LOE+}
z)ctk+xsrM=yUmN!J-ZyAKccU4*)#L5ya$`^_OjviLVyLcqLh7)13p(--4DSX&Eyz;
z=$^7AM5N%Z{1lz;H{&qigUF2+o*u2sG<0AMG;e_@Mn_riE)i-W7X@e6+-40xkhux(
zLVr)(T=J+s9Hh%|@1fnp^m8aEnI<l383QIpP?v7b@H&E`b`%r}EWTAVSr#r?A$dd@
z{DQVT_tv6#je=ilP=am1xEBZQgW0Bp7?1T>MyWzD(AM(P>#bQjC%^U**dXcN4SqUM
zQm~xYWqw2W0x%X+lck@o7QbAH7y_yd!K&cK0{ku9>Zt6r`Uvtu-|-Y1V4J=Ztxarp
z5#b~d_7`E<i-gEqm7w~vd=NpCl1pt@L4I9#lAoX&=+eCgSD%7KFNTT$F%;f!_=*Zu
z_aW}}3-1oP3{K!uTHZE+CpEAxYFR~Fk#s=N*}Lnm{qYNUpo<tTTNGo$aG#37Z*BMT
zF@%bY)S~Qlm)R2(F}iLR`c2Xd(_T7Tllg282Ywr-y@zV4ViSwbmsqWkrf*h7XaHUd
zeQJntD#yc@_wwTSx&lmBv*F@D)x_ObRXxJj`*<j!fFB_#{QZJdLonNA>kOETjdVZV
zOE0$qzA}`!biM8}%0l;HpEfD6;9*Y3f9726kpYkpF1)R~=m=M?&M`8n`CQHu^r;r0
z?HRTnzYzj5I-xUUsi1vNmVaa1#V+LI>TQDOGJe{XOC68EKrcEiHd*-GoB-^*GXtPC
zXR%>{`fd_)Z3TLuzKVn106yzUu5@$f^`>eNbXBzQ?nZT{fA4M@`{*%$Jc78;e>&z2
z4#LcbFEdIvOx<;2Nd4;~IHQi=i}?3rk)$(^2O9(uPA-KtsTuD>6gYm#&=KF8<T?4r
zd{MYs)5`kq_Xu;uM-Qvx_dU96GFDb`54W&_i0y8#%%P!-4CT^b!9`x!ecLc6{PzU2
zYIVTt#xC=#)S2~7S<)z0TMf#cdIC^?LAm#sBBARWW-*w|LZ7w_5Gmn62>fzg7GgVm
z^$Qk$Ob+HvKCe_;rX-^Pdsc+tT7z*ZP{T@9-Mbw|=1H_ycg_m^8h_l&9ESA`sapVz
zTWj43k#Tm}_Ow{Zy0Rm!un=`ATVAwuM}t$D;<JOFUnaQ|!aM!_*&D%pH&il;__3t?
zJD*5lkCAm+-bB?0Xp$F~4Y`sRU(I()|B~?q!61vWar@A{SVhlv_sArz8nxhsf(~Uv
z&=3#l_;=Uj&7Er15B<%ykbd#Kn(Yf7qIEk@Iu~olg;A|o7$41i^Kn6YnY>>J0cO2D
z9%Zy9B3KWo0mCg<sjTz(+$UfJqW)0BifcF~zLH-T5A>S7>K`&^CerzKWt5#$uf?5J
zgAQ?j#BOE3oHsWz+8mQ}4rRkp;#jw%Y@L?k!{Qe~D&RjlL<3Gp8<al;*M(4Ks|@X2
z=Cm}{X5Q}T!%b%`%CfHX1KHoOTIdiR48x_0&Zv7K0Go@<1WEOG(W~6~CgXf(+QMQk
zHHHCG3?J}+HQ%TNb}TAm4LBMk;D*VuumSG}rUz!l0(?pC92fxxv4wg<Dz=C)U8c{C
zKy&5CX6>K5;@|0Nx&91l&QH9&BWd(NP7Mk?m-pOcTt=tGBV7hqhklgN{&C8poxL^2
z+{Fe(0fi@P9ctzN!u*1^<lw4-Yr2(*#YPV`B=m=4-2B1`^w-*AQ5cCEIF~k9ELP@t
zS-6b1qBapX7G6ZrFMde#qjR&C09`?FXIuM#@r4VNPJpqo0|^!EV<)91US<vF<XVbs
z5k~)i<dYD;)wLbIp!D1LY`Q;`0x;iQBI_T3lXTvb_aP7jQ%*C|r-Bj2(0{5p+jw`7
z#mU!OG>1B&8U!ijw=D4K?5-~IN;84;sBmsmbv$$lLFkf83NEt>SSF%e)5~u!en)-n
za*&x`8BOQZyVdy?CHN@!qhqQ>!h*I*ASfhvC@7T0d|l;+2eii7nK1y9@0KS=KjYK+
zv?r;V&lIA=LeL1JRID7j2kt(j_;A&>9uRb}?9&vB1uD7d2F}S9{Q8_Xy{dKzl%i=4
z8->oim6@~6DN3<H@KNT2Ud%V3H<Xha^G<IoXssnvcz)*%JO3CGRY#T5IooT5S$q{9
zEWjr-RDrPIlF<km%KgsOW@<nYX7m~6=>NH(6Of@rKM$%v{#{YpDnWNJ$=`_d45qtz
zr++a;r%OG?MP4VGFb=i~`1)Y%$RkjltZ8b$IPp7(gK|z1{(TmZ+FXdk%J9gvI#uL$
z`PcOO_52r(BMN%_YJrt}_}pcFF-|);^HZE#82n4S%TQRrXN&}HQUX-Im=GM~`ZYpw
z+xp5}LR64Tos};{=8|B#0JMD2Lnj^IZ%@n{OH3-l6B$E?(MA8A77Z_4WzSI4)|yXG
z8RYETx-b>KoN*T)VYWm??Y(JX_WMak0zkxN@#3=Tq0PU{dh@iH%OIc8QWvI@g&p?3
zwz2HCox2zCUe`P20%so|H>VixUl7|^VQY-nJ_f>xo`@i_-$;zQ^y^HO!K+B%C|UpW
zV!ryE#`Y$)^UP;<o3XYL7`@Rww0lelmIdC+oSmklqzX7-?U}aqtJz+E(s3GC@5>P_
z721KzA5Yp+_U+IeJ=Y@!uco>X&Q{hv7j+}oPPCM~FP;@p#GHLPwzC!Fl)EZrKlq`o
zR$h~L$Ea$8uxr8A)|+%B7N@8?U7eG<9DJDMa1m>RLZ49*H8&HMlOQ+f_bO`4w&6)E
zz%yh$8z(q8GD5PFaFAO{r{m2dyDh}DoV#8pB%SND|L;S1Au^0Y>6<fo8&wx#jAg~q
zLw_U~ORB{TevL1Sx21e35D8emCG~_7A^tEMKk&M9lBTrp#UJMcdPBFYOgN(@Hzx8@
zFqr^3S_g|*7%$AMK(yXjiRuUs!PANI8{#mN?meWB{A_hk<wAKF=F?f+OP4|0=eMl*
zo;UV};wl5c1aIiVg?|7*m{n0<bH~I%c86QRE8Wwy-aMT=aoP~7sZL5d=g+xJMd#!*
ztvP23mp(1|o8c?WB<2V+PWMo=kIxkS8FpAz3M_@3Xsxqy*mX<c@^;I3KPZZ?ea3tE
zSa}UBkBs(LJHcn^=-025?)khzUBz;ezb<vI4XUZ4%<X#1JI!N0k+cG$s3L0ee$IDO
z{NDradMcVKw5XD!d3>B!cfC(|&^O!HD0n}ju)wbpRBp8HL)Hbi5ej}hyxY~U&ZJw9
zw#YixE6EEkrbc$AYKMlp`!R*q|FUs1nqWy}nRBa3spB59aSDlB6z?-{84*~M?O}Q9
z8Xz%nc4<@gOM0RUvC}|$qY+(szd7L&A5H1N>n}p_#0?hLZ%1N4tw*fSH~hds=-rO>
z>WM%s;Eders_1OlE0wpjs55>{n{0p|jz6xR1djDvL<ha1=$)sX2E3uiMzPBH&2&9+
z$cQPbzrSxTJ~fp!tv<Y>MDI%!t;4|Gfr5>=Z)$07#R==OlrEB`MozI!=myJ6N~L&J
zv;Fm^1(x_GW4hL5VMCbZ&>LODufOogot?1Kk_Owu@62i_FQ{I^5Pv8~nP|h-Kqcnw
zx=zyqm=P21XE!mZAQ<!FFa-$^dgYHS&w44p)rjk0UOP>bF5aIDZZQyohZ1XQ2isgK
zDm%UwR;sye8Wt7Y)$RtJ)7l>V0JD+so^Ju`I~s~Lmequ4e5_n4VNZ7p<{cV7UM_lA
z)sP9yhf9EKyu+WKk+-D;a0B;MB_zIb1#N;(@toSSim~_?+Mo(rFmF#r7Fv%I3OX(r
zJ|A;m$^kZ4#BE8r?j`w)t#O@OmoB7!d`UIf=G+(xux9gaowEy}m)7Lcr_BldRM5Ne
zbCFwTUUCii*f_ef8ArUt7yH0Z>CifLXG?b_XVP40<E+j;<n^<k=7Yd<98s4&2xdp;
z_2cs8ByNtZZ;QakNR@Ivz*BzW;(5P;+xD;T&2QU*X~it@h=KWkkjK;@n}QC}0JMsS
zaCBOaw7zb-<77dR`Fwqaj81On>$5EXAG`Cq7l|nbYCqZlj!b$Nk~`m4KxfuZy4{DV
z?c5d&DqXsZ-am2CLv7>1P>>{~j|<{<xB&?Pm}I+)%4q$iAZCr|ZbgH>qY)>V_UQxf
zT`l@%IZ<m&L;%ah{_&t=n`*h;@d1X0UOQ*&#PhATK=cZ_+O)$oZ71&0HJz|g8R`Zb
zr~BbvdEj3EpsDTQY%S(qMcZfXY&t|lOop!ILaKo4-3hMr$R%(n*kXAEZgCzR>p1JW
z@N#rEUmGUVt4j#%L(Y7-9O~IP#lexv>!`6XeIvk@4=`^5OB2ev${pb8Z_0B%b+xO5
zJ<%>aXFqbi2E2=d@s$l8m>jwY0XDE0u|1~l+!u4qhgZH;=K7&AE_MCWIPMI=VN=xE
z?cZ0*neJAUZE5dVH`lK_U@=l+Xme=de0!Nay>&!qb{ejoH1%e<trU=tnL_Sch#-2h
zn_lBd0rELp6_>8Kd+Ffr<#sV#&f9uos<&OeiRyq+^#%-jQ$C;b=c!Q%^CDu7IQL)X
z1EP>MmRN%shd3Hoihi7~>;5+j?#rSOHp#itcYn}0lj)EL+~Ynh(G*2<<_baUb6amK
z*KIKf66`aDUKz|G9=yQsc^x_u5<W0X7ee|WmeC-xo|KmAf%;R58JB#O%<WH;7G-E;
z;v#tFzYlc~4z-M`b4dTm^#+Kj?=C}O)E!sKe>?Pzfc^u6fJ!S|ggENwrJ*W{$ADuw
z1fZNCcnOy$0S3G4x>S74+{#>pzJ8;p3x=iC^>l>#k_LLTB2)Mv8USQ>F|<p8XYkHp
zd2x_fLkRa^3gqj2FgaADL*IVp_aVsW*;<3aQ=HGs*!&~ULboL3kQRWgNyv2rLstnM
zI{TOH(6*d+hqr(6lzKu=&<__~0fVX+ykiM58Y-uD_l3MJK*4L<sR)rqq1nh%$J1Ns
zBkftz`;hAjqT6e{rUSF=sph}kt5jDM#9pp_KJI$LuGgaSZt)Tf?x~fXz6Y&(iT7Hd
zrl%=hJAj(zMYlDZztT_BSQa`?m3;w}!}~0?gPesvUVNMf#JK~S2SH)Hf@MfBBM_*f
z&fT2pGS!OYoqQ&V>33j@2SKb*cGq{3W;=bjYeY#me8>HV9Wqi7f%vm8i!g_v>tgOx
ziz!+EO6jyT*}~IEl*d9!n%{P>vB?BSoE@r=BcWKq6cL=aVCzos7N}|2*AmUnuak)>
zb>rb6G#cuRM3N2U#7sbt_gRjDx$o{*N8$3aU~{PlO93;CP30o7SSukKbU%wbxG*3@
z>CdJUD~sbU%MHHiu#)K&@_{s+anM=`uy~Ea_qZctl)?gL<15v=zbfs_+|KDZS-GHi
zK_e1hlfi2={L<p5&u7J;`uC`I*(8C*39NT+OVH}t1Yf#*m{lv01!jOO7QL-csAdnd
zdzBZaw03SwgbK?^(Dd;1W5GrN!yD9>ZA8LsF#5A~8J#Vx2N7m^%$lv=c9)fj3{CF^
zR26Zz#R^zQ;dVRT^j{g8<-|xX*LhF(&B_#|+wN@n>{!PK2Dxqr1L};SPgQq0`hh1f
z>w#%$AM9=BqUF7dbt3qRib1|;1Z(}$f;YrpILz!v%E7D2jL@gmaD?!hbbsQt7=GCt
z8+Uaa7ZEv#b!knXQPa_!w&?`GhWg(2wEpb(!z}3Ls~%H`7M2GKU*d)cSaLC#MNhD?
zix5??BWVj&HkN*nVIF}+NT!x7hvEngiX&_jLj0&_XdS%62eG`v3I<DNBV?$#ptdoZ
zzmg^_L}s3>9SLkugeu`&V+HC;M_Kayb2V9D2EAt9>*_(o6AGfwqs|@bOEw}9au1jt
zFD)jQH6p_U&W1X68yhJ}a0_i(ynxvcVu6@Ay+1q&L$%IR_LB2J<+ts1`(EMgK$JeY
zKL<T7tQfYVq6xsaZ3nww1j{gWC%gy>2dePS7M8Mk&6_(g{9)Xm*2%#zkn6Wmp5V{P
zwFTyZ?ST<F_{~ahpzDrFTHaja{2;!YGpmkvChO!Y#NBR0QIlfFyt!<1>-8N@R19{x
zV~IgRB^4dgN>ky>$HKXpx5lULVVJg;os-o&-`J{y2?7^17}Ima)8CBq5|9+!G@|i~
z=(nl6gC8QEW8iiN)V1CbO;eNdm27lc<l~`lTUZYx*RKOf;>*&Ui0n2JTS!d0j&k-W
zTrB)h7+h;ptE5<$trGma(UU7k!XsF~3%idxJ#jfsEsVq18Z6OJl!b`kW1+Tt*lq9=
zXo9D*lue6(tar|!cYZ=z;{ekA85E0(>OwysBhdn5U9d_5u-r=DwHcSD357RivQ}C-
zYcZO+LKJSgc{dK@h)@}h=+Z^@I~bS<XT&doDv#|2LEdK9&(N}4-CSPTjPb@q_e6LN
z2bHGABDXlv3>LXwBQe->?h@ROhU{KH6LO)(fMXW?&-xvC{T7>#4`VV4BRuiak~{Rk
z!jf1_^_HK$!~iTaTp$jvI14N0j5yEK4+EP87}iDf3cGFszg+EWtk?)1XtG3_d~OT!
zm!rnnVa*y;-Xh&^_Cgrp)(}_cK6ZWIskjCIfy)beTDF~;vm4TB##f-}Dk`S~1pGW)
zDA(XuF|sKCz>2)N%c@4ySKufeD02;1t2}y~=^;U5nN=;G1fuYE&F+IAku7<|;TzZe
zUc!ebvDh>cdci?sZK8V9N?xvXcG`QeMIh4e9{M1|0h=Vx9d;r=N*8!%9|L@K0}Cfa
zLibBd2z=0;=xgF}U0xQqs19!|<E+(b%|M7_n_&P4>Qg%|I}$2z0IusNR&D^&EdvTy
zG1Xdm1krlMG@UwiaPO-1<!t3!`;qe7Ae^mm2n77bC_;SP!97Gz0}SuqG7SFYar*qA
zDA8J(sr-3gR3hfNZLw%jx*s#@ArJ)5?z8fRcYQk^GAs=RnPhV4USrjF9FD^uE+rIR
zX|=NG!AOJOB?(udD<i~19kcdx9|IVU@+b|s=LT+X|4WwxqS%z7XyZbiSeFYYvhxPz
z8_Uz^9NGJ|1`?`qn3;#Z$)NY)Y|?X^J^7yLjynR|uZlPX9w`viFFj~6$a)HsSbCYR
zbHm0pS*y6A5D`g4%}fZRd-&H;Q*IV0JMq949$|&d-Iakpy#nlLNPruhcXb_jls6aQ
zkZw41fBFF8&|WHSL(QlE0F^)1si{qCK#iZVM3hJ(XbYH;5YfS^lmq3y$Js!g7|plW
zt3Ee<2${S;7L{tz*6~=sqe}>+qoFCB_$xNZuP`^>)h`8fX^o7~p%q>&9me=E1xx5F
zbqC@ooCl|Am;Tkrl^Iph=-VQ}S+$_Gb)Cn89WyUzdM`tD>{l08BAtdS*=TQ`U{Onx
z2EQ7A0xIyUf^hXA8?G7R%xKsa(ZKR#BY4KQa^+^9LI5`2j+TN4NM&Q8e;6}co&>DS
z{g|G8WB1BThp1ku)MhjYh@Dq-Kf$84Lpl(ro|2lWUg&gSD_7a(5#E~VdUdn2>$R;B
zLj1;rQLpf&pgyS7>60F`FRLN@1Z>qPSuE}pB^tv0-pNcO%hE<`zH@apb6v+HSVuP$
z`0@K>r+6>k2i`aqBXAVhtx+(rnkF+W5!7^Y5o9Cyea^{s-4@%JdMQ5Jy6q%HtCPnu
znSoSgegHA_qxC@f6lPuQj=JhPyg^(Zi&@cV+;QNBU}R({t&7E-jlnIv*`Cr;@}0Z9
zgmg;{C(d=*-6%!HK6!g#rY%U7>sUz?h*t%qf3mwyudRHUiowK5l2ta+-8|tIzHHfj
z2d7CQ?#Kk;a}&OcLYLl|w<*6iLX#y<V_(9EvfAr%*MRlmIN-3PrFm{ww6=4frf+2P
zw6Y#`msJM)4pl}(bE(N=)~!2S0UxWe@llbgJBC~Co2hkJR&7<@re`dwDVEVi>X7=%
z8mS!+kp`j+`RY^#915_qKOdn7l-R;%VQ1b&pQnPjWI(8nRyx1y>i0)^QxEadAC!+}
zN#lOkeYTwJyUDcd@4~d`EwtE<8e&lt*f_}t)K<x4M@@j{wN5$wid|V0J&Xye3@RHp
zPn9pc<o>EPHjZH_qKgNO{vO3G*ijt+OIy`7cR3(og*JcGH+vj&-2Z|n6|F1#7UW#-
z;Fbd-o&<*Iq~xLxx*bT=@~X)&LDf>knjH4St=PU)`7^t|qj&M^9%mgArQELky1f7B
zre&*iS}{eblYt`Zr9pGH<ZH08XfPy(wRpuc(k68@Lr}vOp?QUc?e_i#GjpKl497XJ
z71N>w!+MEfmDXLBGeJ{!g1y8XW#1JGqsgoAEOtT^QsjTKPhdxEh0<z#WFVuQEtDiJ
zpX=;zGea(n48-y;kq<B}g>~_OsE!VY=eu8EeY@)#=!Vs@y1n|=z4LX_7OfzUJ1T?A
zYSYr%pNUkDYwD7K3y=yjb(k2BPiV|d!d*1!U=hkE#&f`NfFP|}Klox$%cZ>DpVbp`
z-Uy}DQko+~sz+4RNFY!daQOKf{sdzKju2FlLzo@0KpaI<lM&JdN_Ou8os+LG{;yI(
z9^nFBGglL-qCCCq96T>M2%&+2G~H!&b)d`gT5i>$=Ww7Z7A&Q+N#fP#7R_T*L7^oJ
z@6u;y9+B*vDbDS@-zr<_yYPp{j2|q^rO%J(q>p#$q?bpT<-Y(yf?y}g0Cj$KXU!jd
z-6v7052>)B+v&VKg4qjPrpJi0PUE9-wDj6H{ps^>bl4$5b_Ydf*s#t+f4pL8GAvZC
z*TJA@W^UY~GN5)47;!~$V==XH2bbe<_qKLr1O4$If|fr{2>4D>2;K(<34F}`E|&K0
zewhl=>`<X$=BPipmNy(Sl>gmBAX1CcTQzmo6>(^d$>Bg9<+c>9EO(DhLoUu8i18s&
zpRhQAJ28r*;0PLyE5mr}`u0TLq_h*tKfkr~g{8Uc=Oj+I95)gBJ19aID7ptm;XO1%
zgCoR;5xCNb2o}Iaa3~<v&}^-2=_@9%bHJxCLW34wb!p1+zB&j>*2y{dV+jyLGZBcE
zMBUgB>N*8s(Dz`WL3RO_7Xvw@4Dp2Y>G!VrMlSkFm)8bi1o^k%!H9dom79&FFt~~<
zPMbl&9rS0twI;Ll$r-n2qCO)k!Kfz&$vTM*dK}Qrn=eL5o2{+be$}flSe*T|p$6}I
z_1z<Q@a0n$eHSIA?mPR=R*98$m4xf}5NscL_J%(Xn(f^wCWH5hU&rF#)*|2@Phb2<
zn}2q8Y%Cix(1N!~sM9Y;Xsm$`W8b79NU}HF?=?|}R}O8zAUM#B%mIFcp!r38@)h2U
zD>9p2nSA!s2K9dbSy^cMFN!<)XVb0Q->%eVvJE{t1)-T6b#ALiWslM*0~iYAhu?7L
zX|hr?gcNkD#%V*gz<+Ym!MIY>RzdydJZFMZG>DGZxt*DE+X@6Nt9I6(OxM>2xO4Eq
zOEJLDW;e$Mjy;8g8bdy)Aq%|A@((-}vQTG!S`QWK%>SJl3Gs~u$QSLaSge-yY&Y(#
z{CZfmY;#_>8t>X=-tEAf`HtZdPl?+AbFXf*vYXBbKRyY@JYo2`qwByLq8x<SfwaLC
zjB1q=NI9LOKH)cDc1_EA9OKaUORCVXdK_GWu-uoFAX5bVSB<i0CkFfbqltOjt8ND*
zPq%_TK0_)(ReP5~Vj<C63b#NECB?KD$4+te4D?y<M_4S3o+CuYXRMEphlbl!Aypi`
z4gaD%4qElRxydwX9qpLxTSQ>yItrX%Smg%<Z&Rgg0b%{=*Zc<*A^$Ez)y9IvE(_(f
z-i4r8Df_Z7xnEAHmYq7RTVIdMfX3`rwicV4N~L8e-#ig*lbmj7e+#7H&W)x0LE=#H
zSfXBhbFpQsW>8T9KN<Dx@>3Q}Gg$!Q8JKR;9;y)-9at}R1bm<s3zO9P>(+kFE@OH!
zkqwY;CEFbfcc`!ri`tNsmO?9=1zIH<2*z(N6+t4oXM9i*sXVKCU}%I+!MO;Hf^(2a
z9iKg_0FK0Miv7)nR;=Xk$^y_TSou{bgW$9x{LTy@R$*OhUTHP2S?8t`v|0WWz;SN@
z9&*m{NRn5|GaI+g4RIE=N~P^X{`QumiS~|Cg!Ho-sI%jK_SI;mJL*R!o6kO5Oz;J(
zQQsQ&og=S(WJH4~L`LEiy8DaRyLV`X40Ik-o{Zt1c{CFIRIR@XP^ow!`^|F8`0Pe$
z+?ljgPsZuvrl&(aL0~aHTiQ^ghsuuJ(rG2#lyG?E$O-IMegGqoJwY?RH*5Zl9h+vc
ztqYLOBD{_Y7^6e2uK%#^);*81!N8;#MX&wSlkx=3P;Rkim*R)Y%BIsN26b<r5OuWn
zN}S^`1sIAv$I8xv)C*vt;9(x_UC=R4HLiPl?esf>#?l3e^Y%l&H$k6d713+1;Q}R!
z>(Oa11#Tj^a2wYD=|Pgk$iPra8dttUbtm{2fz`mv3n4>Hd;(2D9$%8{UKDJGbcfwF
z$$Su(yg7-LhwI+tTE)$|vA4NjPw8mAbk-*F*43u*R{dW9vltjHK$1QYHY(d28k!`<
z<4Kl3j^|(WNQLP^CH&`V_FsYbDHLE|lK9z!MAyFHz4~y*{HfG=&1^;;$I1HMtPR~(
z&4JPlM~)O<H62|l^HlS?@zQrUzt9!5DZ{1P?H4H;HumpM1d$!GUM#~HU|Ws8yb1f|
zXN>i~obDgZ=II>Tck0!Q$Io#V^JHI@q|TvVX&RZVI+~e6%bUj4%jT(#F4~KJ)4Fa}
zF3H9wUVg-L3Mvu4V_q4(osf?UB|#ny?L*D6YmvI+Ni5MNzjSqzYGbTy#H~N94tM?>
zmJ58A2A>zvoRgy3y)*DboN8AM8jkZl8f4fomOXCugFwo#tb5THaJ03w#C2v_s;W#=
zH#0=WfPo=EDo)0LbJouxq<6zWhhsRrG~kJT5$DG3uW697%I2NuW%Bx7<{F>@LQIY&
zP7sIJ`#DZSN+YleEE5Y-xzI)?sRd(+H(??tHF%uUp*4;qW5C(folL|-{#Xnu>V2PW
zkEz8c9Q-mEA7d%(wp=*iYt_KVgpQ4TuMKfT<kNu+s)ilL`RAC-N7;&Iu0lZUr1^8P
zq9JMBwHrkXEz%#_Q6g?4#M-Eclt!+ZHnl|=LAvwm+|eK|Zte<*c?MqBMql<faQo-Q
z3a@tN*!0;A^i5>I7z%P8Gp&AO^wTT!So(|mtNGIH_0m~ibLW`yA?OdIXFb)+m&OGI
ziI^Pu&j!#LHiHQ<e)la_Axe*dQqM+XaDqVm3@c9vGS8ra5}72mh1hw`oaApqeFZk&
zXk!8x7dNMag7{O#f3DgGPQo<>14yBU+F>Y=-G1hKQ3rUGkdJ5ogOfjCR*{SI=D4o8
z#p*E3aOtueaGBTGfnOY!R}&#FMhB=ufv2Wc$zq3QsksOGLXmgapC-<RVaMeJlGFrH
zU2SaZkZaaA_|`ZTW{7zeb)xw4@dNe_#9>yEoHz7vNGcyf`}Z7yDY<{{D|N2k^$a`$
zi>5_9S16)$a!)w|(m%Sp_jE-$zM<FX-nmf3Xu55Hm6?Y`37&_6h`$=bsi2a!o^`-+
zJOx8Fu=1<|&4S0yfkH%@)d4X8AWT6QG&?5d%=!w@ae_1?BqR=LXap*X>pv$L2FUpf
zOc!PTIRVrr|31NgTxlYT`J-{6gT}h+|BtS(4y$@y+Q!}@h$7O6K}m`VNJt1GAt5Rt
zDIkKRfRw~S5tP<NDUE=1x0G~ADV?%N>8?e5^Wfg+?DJmNxBl3k_eB@Km}lmmd+wQ0
z^J)}XFKnrXHx$|x0^do{D`Ov;3OE)%QGY!!#XupHPq%Z}egH&_@F6RLMY=U;2})vO
zV$YbmY3@TuxPv-}eQPyk?0dRzjr)HW{v*}))p}aDIgB3_^PdLW&i3-86^@6%s><&U
zz<xkI?tj?_MKZL*4+c63s%bcn1*+7%zaYM}Zv~?2|C884{TdA}2!sA}4o;EHQGY#H
z#@+bGYG?nci2u2Y)@Tlmf-AnTzy=oA7};#XZcZF*=579S$^Z8+>!fOz2~&{%|E_m7
zx>&Q5kWLh(l1`z<b6YxO*?+LopJ%rJE6IGXHQ%^|)`OD=?|}x#mWWQ^`rmIN-lQmv
z?$3qo|2HbU-?EXzV*HaqUcvULzXIyGHpak@q7wcmksuHVgMCxn|KHn4Egr~+y4?0}
zzOh^$KyB|jkxBji@oe5&oz_FI;YmIA@7GYeHTB=uFw4<5r~c31Mt>TL8-!U%_B-Qe
zIXKI3o@~0^89Kcv(_)bU$+xHg0t0BM*qw9s4CGu|v}jj)dwaV?x>kv9e}P3?YwM}8
zv9JHS1Om4)*f8vKtwji|6IOB>=<V&S|LtZr8IDI)F$|xg(0p-kdnvfgn^86>XTw4B
z>kAJU@xUh!>s(=-nWUC6I_Q6YT*hI*77KbD{gr1zufZg>4X7F>F2avpJ_pHx%1Upn
zA<&}YIJ1PfxVVN*kN!Lj=?A3R(6H`!nAxGMUaj+%j@*laYYk-F|M|QRS)J~x4db^`
zD=xcf{}{*9rEvzPB>g#X=OYi_4sd~0%1n8KFQ*H@qr>((3x914Y&Wj~;S~;+s~H9Z
zEBK$!FV`^p@lR+IXl}u_CtKP(ol5s-Qt;!b$-sC`f>~o|qejuE7Ok95T7|g^C(s(t
z0;tu+L`O$AO#%3W&*Nopl#lQZ#Kg~m^Vz@N;-B=p3vbc(K{b<r7RT{xC`1{8@DErd
z@H#GQ%j2Qu<D4&eC`f^0!(~*S^rA5@=7tT&q_C{sXRI-}HZ^~cnjYU>3llzcUAs_(
zLK}MF8M*zt!tGM5nqznm`5}1eA)3PQsBge9iDKmNMe9$I-K&xp*;zr`$#_2wC99-s
zgiIkf1$*=i<|dYwmL_58=M0SJSlpS%h^&8wacbrZy#|p^yz&CSV}*90-u9mli#}Q=
z2zyJff=%_$EOBant@__LzyVUSb}*tdXvo3QWn*LG5x7m?aGT!WPTE6Yb@@Zi4lA&N
z*j0aj**9$eg#my6dcnU+ngym)`dvxYEny#PRfbOGb!66xN}vHu%x)1D?1Tvy<=bdj
z9+N^u@x5tE*b+bYxyONrho}0JK|~Le^}iy$s1?=)E!`=puHpY3>yL9ebg~r`W$;{1
zlihox_40SzMw_2=PWd*PX#wkD^QEV^THgwj!4|FBqs!*Si#2Ehg8D<||2zT$g6jrt
zpKo&;G>7%Oo(#Qa+M9!(_I2cb6|qRDhz?IC3|u1~$IMy5C^?&-LrZ9yU{iA$2nl(U
zh5z+khV|&+&-E9=>~9<#{NFzq_x*2D(hpQ55tW99Yl7ZE^v{XM87aP<<R5+Cq&CD^
zG()<BU-tuFZ+1!wIVUrl@IPN${rOL?$LZ{opySzpuuH=zlJr9?<KWyICc#ivz9m_I
zivBty8^{83Qb93V3y`Ixe4Eau`vOeK;xi8KG2vZ<y|2XMBCx0pt$}S)`}adA?lR3E
zAP1oK(u>#%=fPY9M=N0%zS0HD#PYeWALOXe-MQWis#CSx!EoEb!k$ei@ZU-9{I@;r
z@4|({47<ECdye*iqaA_Y*`W&GgNV|5PtZIAa;|r|==6q!?|nN&l4DeYuKe#$hV#zW
zM?qUN@HGiNHE5?g%oE{-Ayn5<Qm?oK@8c7!w@m2SgeirF9WU?r(o%uDp!tr0X?W_n
zTK{|x{JDW9Kj!ya%6btm!dRs%?j-bS(dg$FKWng&1%p?4>S_;0hW6bmr{<@mu)Ck6
zqgDXlckJ)no`B`<h(g)r`98;$_JQS6x!xdW<Q{VJ(O?}U9wiTksVR}Zt|tZRXwaKk
z;OfaQjlKa}YRz5kVOOr#U8bK?*6Xl&+tt2BWY6(BFK^z<0dx(2e*z-V@?Zc>Z8)dj
zu(NxAX5_pz`Yy7prJNH{rW}v5p19h>YG+e_Yrg!5T;r}9w)A3B*w1TjJs=y*IS|_=
zv^5zszqOfJd#<q~JCk)#gKD$0V5X<o%)Bi-dHHKeU}Mnj(wiH<TtO*UikHt^N4hUi
ze<@80#$~kpEd_g{_pr|@#faYbp=pb7{4BqS8GW^L3ai`lh*I|u18p+Wi-qgX^LfD3
zs!N`l`(NVge4o~d*=OfQb!JPOt$^^(mn%X$D?jJA?3+S(5<AebHPwg5z->F%k6c=I
z<1`Fx>orb?QKYOspj04OIQa?aj4!s$Q6n#xoA^RY2=ZWeWQ`BsVE5E2J!X5+qDMd2
z^vYg6bEG#6Tgx*VK!at%oVR|bs{Iq|0z9YF%Y>h{M1-RjHG)=FgK%qQ$1yhTXBL|+
zu(tIE+<ER*_{leiCqsg+zSH0=O>LYtH8n$1%3wErXpScQ@Sl%iGo5Y!Y1rLv<mI#c
zTLGhnq?H7sC&2JN007GF*#vVl&DsT6`*b4xQT7+PPLhBAE&RPj^{gk-D7S#6i`_Fz
ziTC4cU|o0c`d9RK1U%6zorR60c|DtBV`H<_WNkle_^Q$DwHu@F#d&}8fFj$w47R7j
zwrG0IA{!qu*Q2*#GFY<l<)a|Wd@uvY$9&Hb768}6*6sVL9u@IJQS*-@#qa#Gb8~jx
zA$DudB-}ZQry&g2JG(`^#z!Vln-s)IVgZZicKbx;0qEJ=E5M~hr7{kmf}8h2J2iX8
z>UV~_v>Z|$Dv{+4zKwc!5!>`MG<-;@Vd{&~vzr{Iw)a=&1_b#`lVGcG-pjtY^T$0t
zUeUSLtKV8a$u}w3J<)plhF0{@V~lvTRm!ch@?G~^6RQ7Qkx^xQA{c|{ops2LE}_lX
z0MoiKJ1Q`?@!}tt_TqXf{jfqg03;KeU4XE?Pj)y`<KzA<kNT#*KadnQWcKR1I!@h>
z^b|kIFX4)=*pWc&^zB$k&w4h&#Y={!?7{L`a~o&C{GloTl4ZHzasZFrz`eV)@1Vxi
zO)_tX*$&#<rz0m8b%~Vho&<QynBrnb*G+g8CjP5sTT{tR&GV3l{hx30e<Mz7-F`3g
z`EUjJdC2wBO4fSG=_8=JOYp4-g!WgP+<1{-Rj#wdq$lg?1Z;yY`9H?OkDtjN`4Vad
zc_3z|3sVj6^iK*VdIvdOSmO8C)!vJo!)X8PGcdsF!vAA$7KPJkML0I?O&LfmHtQ8?
zV3ladpTt5y03OQI$<}C^@5m^NcekcfwbntipI=@Ks3`a4zx^&*WSnep&G1|Lb3Q&k
zkSFPSap1O>TU!2LcDit|2pFRKk$4<MWq$?Xo}|?@)y#{wALdFV{mu;}t^O-UD>`DI
zzl-q|U?u0&fHTk>E?Aq}r9}gSOaD%zVo)T&N_311!O=`rn?FP%lp+0hCj&e^coQ$2
zmP3cUhxT^YA;Rshm(gFk<NN(jvQd2t^kts_on|l37fwVdr>>)5%4GVlQ|R*JMVF>+
zHD-4L0~r6!8TogWCk5I67#i6b^i%*`7yd3mmI$7|u*-I;{qoc1Fu19I--b{SrzSN@
zzQJwt7CFM!dyDcT6r&}aaD^_q7oiJc7A}D1yTjJ+c(mrXJ7pETH3PCz;_;Rc9yV4s
zHVC}?cl75!WWfxyI5gr9lG3Q2F>7mU3qZ1x@aLd0iYzQl2<!Kusbom`-1m4FCK*!)
zYufZMrO)Gs_MFjP?4DW0k1toJ&VrAcDsnywr=6D215W$NHGVkltSfXgRxB@kAEHC4
zI7yq_Y71W+bv+yyltsi)%sZHGCESboJIUj2xDIbLPV=xSo4qWvd>Eyl@YZC}xXQza
z)o4(f_}h~Mlh&!|O<yqk{UdHZWC-?kf8;ZdV1VlBe?B<ac8nllV$WMLCSL#;1*2Hm
z9OxMW;Zt2+wG0b8X#5d<V{!!pp}_)#fn%>3csno0hh>RLN#J7r<x#iBe?Fo>cd(xX
zsSLUJMF54gAWe)8La)Z~(x)$S(!^1fQk)s4Fnnq;zih|URX-Bu4&rcLT+K&hiX%~1
zN-1oFHM@fO=5k<hW5n-{si|pbC$vHS^AWB6(cMi6hfiU9&bAE53J3=Mn7tit81?vv
ztWZpWHV9EX3mco4ELX{O*gnsvx`tNXBMfD?RL>mhG+W_z0wKL7cL|2l<?#8xJpTE5
z`1Aa_OGVJFi=;5gt`PMD0rMU746<RP=|H6$X!6>|_JqjLOcu04Uo&X-hB1kEfH2X8
z3~KS0D@hIDD=Jt*Z@k8Xz~>08%r==w`qu+uc>#=v?F<konE;rc24iq%BI|AvfLxZq
zB@g;@4sZ9B?Wl*rJ5SYW0rFs^fi2zJgtw1rA6oo<ovqxkmzq7VTi44D_$Wv;?3YG2
zmLvCQ!6N=XsohkI+6PNFo6Kw0OV>*hl9GB;x`G1(t3h;5Ewa_-hdLJj^9d+`CG<A{
zjHnZNz+gEqKyJ!^qNgB$^NaE~hTm*}5uZCo_o9`_?dEqlA#)|`gExQ&f)?EzW1s(g
z6QG|`ln|H!UPr?KH^;bNu1x+RvJ_>mf?Ee!oS5@X7`L|AsJ(j?W&U<6ZFlql$S>B=
zm`lKkTAAs&R^vlM0a(q6_W8F1h4cS<e&-i!MRvJuzz$W*oSm|XE#ZGv>j!Io$wb%C
z`#;U{1iub(XqO6ox%&xr7B1Y%Ze*4VAwz@SApJH(teuNZfN4wMpTzOcEzoJ}>FLor
zt+a8tOQ3P<;QrW<{+8f8$^SA)^V8sD{f2he@*(SooDGe;Rzq*`JjwoDZg&5xx1FGM
zaT^ecC&Kid>DogxOK2vw#pYP>#2=re^uNUw!_K9#Mm=y_i(o(3i;AP8FYH3HFCi!A
zLykaAoxe#b@4qs97)%4s-vXXvJ|*crb#)pMd{4`tH$3{tzLf7TQ5~QZRdBobc|Vx+
zH&%*S?NG6zm@cxJrG~zPx;P;cpzvm|UKZWks1?CM?&g7lN|t`(#n2|nU`|cl_Jn)f
zFj8BC{`J}lP%kye!K)TL*GW;!Wd)4?8K%^8!!mIV`joV^wW9=~rq!Nj7wazhRe@O9
zazYA$Bl&QF+i+4W@gbwM&sw9z)IQq6x$;B|C9HV0`q{`;w$F_eZ;pqy!N|n?mQ4SV
z2Yb6ax#tLu=)rv6!j?@xkzG4>@YL&6$*`T;R?lFl)Jbn+VYsjbA93)giSKCGjl!eh
zVQkEi>DU(adh4*!?HilkJUSI`D7kedo?N9O{$9k;6&Y!V^XTW9d?Is{p}nhX!dJF_
zA_-D&<4iI}424u$IKv?c>|S5}rZ{+)xv$boJ$&{RhHCR4jBDZHx8`vc{Cd4HYmVu|
zEum4GHQrP)J;+3t*nb9i>k<&EUA-|2R%$VrXAAk*_)&-Z#n{kYuCnbVG-A(^uhFSB
z`h4LBb3nwN;H!CoH0R@+3Ca-J`K_>@`lImH?=!%08Jt*ZUN5Wg(g#08;}SFcj>0;L
zXO$JK4>}A*oP&ll)smO1N6Q=_K_4BQUt0sCthEK7Rxlo7Y&n$AK=r)@KUcIrBe>t$
z>&F~li!gqsXsQq>2ur@SvM%Hf5HK(564zM^MQp!W$!g~YM7mR8q4esGgf)W1v^TEg
z4LRdCx@(2Wi)ON9L%Sq&*2ACl)w}c-&6f)14?teW!Y9f^bvU0JlIUQ;+Fh8QNeu+C
zG3N`fA3YN$N#HF6kxzIUObk>jPz{B}T@Q?Y%<z?gi^7>>@aj2l_qJR1OoCT`aIf)8
zzi+ed(xgz)w0?+)HF`Uu<b;Ge;)VgUqFG%a&>HA!Aw(}Ln_rfW8DcoJ&Q-dBs|!ZR
z#g-_>Zk<p1c`u3cg6sZvafpkCW-fbp>06huJF=F}#c(TQ6-F#grT&L2ol%<-8pXf<
zsDx2EqYlO@TH*cmeEB7xTbyHvwD&h=u3rf*+hzooW&2gS^sUEOEB6sU5#cX#p`B@~
zg*GTQ&Dys7Iw?4F3K$u48+*$Z2}^|w@c$;*oZw`eB*2#YXm2*CEajCvQOu8ehYRQr
z3ndDXKX{S%_7X!qN|N~)75s`J?pnI`u+Y_itL1X~ExTAWv||?IEV3D+xOD9E69FKv
zaNrEQT}gxs2Bu?I%O&RN?v`1OHM}<Ld_wROjw}^$AM$f}lBKQb^jbjCk)hb~KIt3s
zmiMn#51DJh1n+#~&1vnu5d2rDp0rOzXW-?o)`{?!Nmm$P=lLFzGA)YiEsGRhwm)c=
z<tKAgPHEeTxhEYhUPkPU@@)Fxlt`sJabq}FQ^d_8x#`%9t)_9AEh*UxrvoI*q>pxM
zfs=vZI%21*2W-`_M4j?Sx13j#wS5pbvNGKXeQEf0hMy4lXZv%bVNXGvrZLA^w^nm4
z2ouFxuJQ*D9KQWx+xchMC@s*`3e9e<j*2&`1WT40*b1jR>jT~-F;3K?PRpWBwIssa
zd4^#FZSad$k!^fm<{1u9NJrhix<6($H{FQ?1+C(CH5u&ghhpaXRsYy|lO%?jOP{d6
zJ_4C1fac$h-TKmp{d1;EF*E>LDk1(E8XCUy;`~~-&+)#80@Syo4Gj%BGN->nJ~0Am
zn3sySQ|`lQdw>#pz<?Eg^BBGC8sVt1jeYg3{!CAZ!|VQ<lb>%wR*1VFx%I&8yob|W
zoh=+i86_mhW@MlB8-uFB5krnVLeDq7ih;vssgNvd_H+<<oZjM6C1t}MCi~teS?SRk
zXJyJZ$G9+5$IjV34i$cA1)ass;pU8oLIj}C^y&1MjICz%L;C7xNZT}SJhn^`oQ!g{
zbS(#}ug_#4F6}+MAE~V#1BeDWjV%0hB}4Bcd|PeF*;U^=EN#JW>zuMqg;g7JMy%F!
z(L*`My54$b4>5E-9{>L7j28u$S;tGPV(#ep@{{LV3NUpPrp!Lerk2&bupT~2y)^FJ
zEK^~IEqlapKoSv%PE6*PC^Vjng;_RSHqHH70C%ekY_1Omczr)q+-hi4$0Wc0^Sqt0
zQO$nP6kT{MfQNar$i`A6Xd1y?g5ULD3QVI2e5kH59VMm?u%XJS6x{=wGppmm>3KSD
zJaB|B{38hO)GjxfJ72T4S|4|pDE?_%h9Bss_g(o^5g=rpdWuoO|84~xFCPOge7Xnl
z)(G(FrrEtL#m@H)R~5VGe}?cF_v)9RVZ~715H_`(iM@iCci5`taz0HDtYhy=aY?)N
zinBjagBm1Yz4`%RzJumc3eoG~Z|R+HKswdN1V%4k_KXCW_xd9ON*X)kYklS|PUJ?W
zQdJIzcH#dJiA?t_o@dZG4-Dp=&^L>)0>XOh?yL3S(cdwM=s+kVbyxk>p9ivg0n69_
zT->XXt7PQ|rJzj;8tOuD9>x{8*z%8m)XS0jV82j)Yy{;XUVQy>Ff*MKoF3wmEfut6
zB7DR8HP!)DT-wE#?FsTJa`@L@$M@3jOy02=w4cabE_2D*23oE8W=}GIy?-f|h93h*
zvl_xP4mg{-fx1v40qI@Q>wqMmYTI@^R2efn=;jkRQ-<A9wZhWWL8cZt5%DgxKPPOa
z2rKH*;xuQ~B<yjMiY!9t)0N-Z1oH+c4vVIYYD}hMc8rB!%}C)ZX*T7QcWC8??a3D~
zZB~-EZ~M;FlZ7#8jt_JAdNfY2>fPzWmit3no%uL;hnhlg?omCde{ljl7{V&mk-IDL
z{e|nWET9|5zXsfB_z8PghF`2bBnNWbMg<fsw_$F$PIjX|4ZpuJLB0K5%hGIci~R;W
zqw9O~d%Ik=*#@M$-7$Aa%>POadV_sgp<yAtb{0m`HqY{fTmy8faeg*(Z+k-HFJ((Q
z=AIUz)%N>^??=Q*ZeF)7$>c{o<eVBw_3uH4c^?$5fl$aV&l<gUf2l|C_oWu0<-5ge
zy~c$tV}3W+RObqEpa!06cW$R%!TBmlM{u6SNKN%|=CD)XHLOvlQfQo0KQS~qf7nlG
zNs3d-3S0<B>2AEp&NDPx-0UH78X7h%ikD6sgD{|NWMOY9X8_3xbQ%L-4dB6aomEt{
z0XCPH?nzMp-L7=)GU5oO(EfLy`XAh0l-g>F7hX+#YMwO%ctOLmp0VlVE!l{v;Jfwb
zUojA!FPx0r9t4vwDxZ(AsG$P7>rPdam}~Fskk~Hc{OY|sbR9FL23{O_bvMU23Qw<u
z!?fxc^?WmK3tZL4cLQPnX>F9(@J(V6;XDJy&`c;S=i|#<^X@%*L`6(Yj5hVC<{CZZ
zT)0GEy0<f5Ywo-pN<5Adbw0zZ$DQorpOob`@%D{=i6vp;!!lpEF%R3axF*(&>+f@3
zZg&2O&C1H^cV<gu{w<F70^Lu2TQSX7A65J0J;qWvjJ7f4{=<i7S65e2%GYnP1f{j6
z@Jl=thRc0JyS&ceO~=iAqi*2kE$94+UP}A&Nf)RsQBChKxL&}o{6;z3cVc&G-+QQ<
z6EZ7Ozc`Ql<I!3HPrT}?eEs=G1xMVO`4GMrldb*Rd5$uCbooOJ6FILX1cI*P<w-Si
zz^{!9lazFQdv$08)+~7*I(Z|ir;DjJ|B1|${F-e2{cn2<Z$(C5`(ZK1s(+eeNA9Xa
zZ0igR<Ad7IPa5_!${LRN(EIZIj1=1oT2P|4SnDyU1)j86Oi?Y1y-+gza2lQS#&BWz
zp7gsq#ITgVgepUpM%gD=R8+JpD5D8nFzMFIR<UDa6-Pq)m>I<m)=$K*%LoVif!nmz
z_zL!D6<IXoaQ7?JBP}C;Vo#Cw$}ibQp{%3O_=0rZQ`sGsO~LYw#SyEr(8Ekju96{m
zywVcin^=+===uxQ@cPG1pRWT3CZz{2f2RKC*?Kh22TIj2tdB*k-X&%o5@;+<4SsDl
zR7NhxZ}eGJy`0^AVE-F@vi1(E4LBYjH3iFS<3P-Qz=sH(ohm86RPXZ@dB4yOxh*Wg
z`*E{5d9xb%2wX5x9Y&=7OsD^Q>}XBflZ7W&-;Z)YQd7w6!{~ZR{UxcO8}~<H`!fG@
ze`bZ|fnT9gM`OnHT*Q`MeB;7wHqv}o*!qqjBPti+K^pU`yfFS4pvAmG=I)aFSt3OU
z5W@(^f~_WXY&kPxr8*Xs<$$?wIs!KlbxQ2?Z?*vEYtTg5fBy=W`3du(J-*vlCx-#6
zdN{51Fxxshrauu0B3e;6nyIMa6mQTHQ7D!V>1t?+FGqg=Rol`C$CE|C>G7&MLlub7
zlO@YJ`!cFE5FhPis^wIWY)<#>G-si8>$Jr_{%pTIZhA%JxX>1a_d@B~?9rjTKC_~+
zFQbz8JoATgl$Uyn3g5qba_VdOZgq!w1ZH=$0PshsW)M-QIcGuvzqH{ZD*K=uSqOm3
zyjqZk!Zr*+?TFqbA^Uo3QV^x4dQdZkCv)&GtdkV!(-kr7`FEpMPL_8a%vB{w6|*3T
z_(QO0dSc7z_ZI2*KH$AWR>I{zyxC&Hoalxs9N$J+xYR)m{maQ{xvhU<l{5C#uhCtP
z@w7e$tb;jrp*er9d_P)gzP=cBm{Eb(%r~BnB69TU-Z+D+7cVaZj-%dXZ}e&Zc!W_H
zQ7<{!Jt33<JT*TkZ<Zi;v<sssRV4^p9Gn;3xEwF6kAAb2i3kf{X&HT{L*~wKeHeHZ
z=dQ<F*BK982nOP#d^=Xe3I2&XD17!2E9R%enK}RR{Cc0!d8ZIYx}qTl1^T;3r<o7Y
z^6G2fezq1mH&8UuY>Hj}%phTG1*|*-`bDpPmyl7)EqSyKMtg6otB~11Nyv%$o|e{N
z())L|5!#HdQ`q?7Qd`CQS6#*zYw24!Vs30T)yOmlazO%U+axRe7C1ny#Eu6>0=i|<
zSIBgSfX8*l3ewxB&*t@UQe5l}5%6EW445kCNLQ3>{E!A_XSJz0@}|R@B#50DH`({l
z?uWcyqvU?#-}5hEiBnZ?uCe;+rccFhLFte7q-2X)(tn9rn!eP#b#V~85{#%7#M0R|
zX+zM{09bC(a5+9lx+#ujv#8b2c_pUb+NV?F&MX9}e!CGLZpeIz4<`A)A7WS#;^*s8
z{X4i6LiKzEaxXc+8!%g5gWxj3w#eG<AsJ8IJ^FRydj5A{zpS2~pIs6@o_g?|f8s?G
z|8&Vm#j5Ar(OqHJ#>1>m{x$x_)AJ&h!C)hDYJR9i!RBR9&p^+Wq86*>b8$vrzU0N{
z8+?f$N{6tObga=%oZ}iy>~HTd>dP|?O-YexT7qKqmppo?MCwy>X^DOX4&`YMJfE(5
zLizTv6PsQX9d{OA_ZEbxKT;OgGD?iQ+B;HR^nf1nT^Y`r)G6F+L$K~)s7c9bmXu)j
zcH^ko(jJ76zairib^aX}+`yxd)aAUqzD!qn@r}d-^A7#8-w-UbjP!*)z14CIPai!=
ztD5xrGNJ8Ieg4MoR+Q^WnOO(mMcAB#dE}yJ`4*j8fmJW9!!O!-dzAA&h`7~fo*<mm
zS9;BA{QL9HM+W*i2&+lk=~;g=FjW~?3w1o}QhOyAM}6J!yhQ5JIlfKdV*`LQGRlwA
zJjnswg0|D@!%sD_TeE^BH&+xtUVo+}=|Du`Va1+`>i91}@spczp|tjk32qrF6h;|M
z_}no_6)`4ki|gkG&-);3eF!5mJ+VI7Do#QSSwU1ha>!BCpuNn!n-|!RtM4md<>Zmo
z;7%@Bo9%lGq)VXvcL=xaxlX`P>7VnT0wPFDTC<)*%S631u=6M3>Ij9bMW6}G94u>)
zzxk!=;ep1imkxOk4*|3^qoJ=01>nka-L&_5%nqE<yue2(D1Vw*Uv4+yK81r^SSyy}
zXj|-&wF9G;=bo=jwo%Qx9wnA}y%F^p;T;{IN2q4O4c<5W2}(xo%GeTvRB*f9PyFQ?
zgq}tUJ1O;ryQcL_M8yEQ%KNT&&gwfil_~Io>YcTpm#SMmuE+8JbNk+~O~D<iHEh<e
z5)+_?s#Ev=0<2C1yu@>f<)G1rf`(?e+CZM)!663Q8;ew?V;ol+Z1y&8A8<2=5kkW;
ze!>lg+7N#la_3DTI3&&jPtLLYv0Z~iWczs{CxcelL*++|){G4Zw0;j4%)hI5kgN+>
z_tuy@e%@;U<{p&<R8O@=iyPrVR`G1Q<6?}Y4<TTJxr?UY{LPHYX};muK}B^u@^YG9
zt?w|{Rn~z-Y=-Vcl<}7wt5)t)4DPi-fmW?NLy-FiwULW^Lv~V99O>!|_`XqyX>)I;
zXnU#AAZHJJ4!_^<pBMk#mJr5<NNvDNQo@H`e?|(6*rG?v(A$3i{TNZ?NSTQ3@b{bs
z34y9<Zb#A+`3ETtLfk{Z;>kF$vo^yWzE`^e+peaAjr&z^0H_;iA0drRB@8BC%K$k<
zki8y66dNj2csa!LWqYN}1a+Y{v%UH`93aHYeNMQW2sO<_n%HMQzwkcbux!6~ha+q2
zrQ@FChz}nVo8_T^PGEy*Bz<W=wK)T>jCB@%>$nMIL?slS-?x>5c*_ka@19nk_g1X|
zodK8cSAbOMYH#Bi(nZ_9%C9!E`?t-}zE~Bpy$VcX*!=wdjgM**ML0vMoxP?F&Oryx
zXZ~*#YmzRggotxsO&RkMKKU_mYs?V1K*>J1aIG}%pL6slg0oUz-_@yCu2UPF;M2Nt
zPKA`6ll<iOF#c=}z5ChQaAEaEz1609Jx|A|^A#e66K7Ecvasd|%Q?aiU+%?7@{%#i
zuwl1~qOiRP1=O=V76bu?`1;&HvWdK?ju)FlTo05i*qk`qIr9f!8XMsutzq9zAP;wq
zfC}r!n+`UgYQNi@ECMrtgBOB1DbPpBExLoBFXLM8e$Zd&uh9~E!xk|}n-u9of<W<P
zt<i%Lb{L5({@mqdvD1pORVS`RzMM*IKWnrO?vC}-nX~CC=~{^tx4)#ad`j-p#@viC
zg-CRg17u#yA0O;_y-)`LK9>ovIJ}M5e6V=ocYI`!gNczZ?73mcExF@&4sIEKnwUI(
zl3uu2W8~oWPh=jMV$^(Qv}$=K&&2P2hJ=MD*9qQj-k4GS#43~y`7bd%fx^r~UgoHU
zk`0^}m1%O?S0hzmeUhIDx1U@TQXmpxO-o2%Dg5}c*XpDI`Rg)B4)o70LzHYZRM+)j
zte`edxi`+8SOTXVDw%-}CQBo=^qB94>Q6uETYgQqLImr3?K8~schl&7Cv1K~F36|>
z%e;66;Rm8TpkFugK%67eSj9L&#`PCerINAy_h5Nq=$91cd3r$3?H&Cm1tz1e`rKK~
zh9YnKnw=Qtw$Bc%PK94+<ZFT#-^OJMg}@<FR@HIyUIT&0{xdNB5i6Zo8*o-dqfPR&
z#Lq8sCy+$Sh}*m+;-+bd+Ak<}HLwIBBzX%)vF#fH4XBDYz?81_@(sNB$@+;Tw-z)`
zbTz(op>2auaLf21!}hQ~EWr*g+F`1&GAqIrY{;(?Y#_4joC?SHT7H?N2&>jy6(Mud
z6N(Kl=c)?z;8yGA`9mld@St@wDCsnUQgA&6S$#t3;oG7dAC&FLpp>8!C``esQ0BZ-
z0ag*-wp+Hh!-Z<aan#db6LN$fJ-yfl=0#UI2nfntr6t53^!ge37F^ZN!*wB!u*_1+
zDZH1>^mbtaocOVGf~MYJ^o+?G2LrlbEK%gwh8o^J6TK1aLq}qPrMgS^E4!QdCurTC
z=YI3zD*c$bw1qfNPzwgLhMsY|K(0IVypmW4{PqcuKgcQTm;uM1<+%p+D_Z2>ppbLy
zO{jS(zauQIdw5fmwP#_t@_t{D^>mQMX+xotbl~=N2CTc}nvb`qYm01}Pc(;DGKHFu
zBAM&L4_Pj^N7+vw{+PM^1e}z*QIXYKo<5`G)SzO_<v9=Lh`#{LnkUwT2-#a^m64H<
zzB`~6A7&|2I3ct8i}uCr$y^2h>B2J;XgSb%Od2RU7l2`WI_uZ<F)g!(niq8|it@lf
zSff`32UU7m1ufiqffp%|8J8G)$CgrkB4_0G?%s7!3uJ)e)*U!?u6PR^p;@SD-lGi&
zi{#JHkwj|TTd-wxNx(cwK9tuq>!@2mEtqQMo8xDc@SuH(xAc)~!UieP`|-d^BaZcM
zs2`X}stcX_a(3ciKn>`xDqtz(ef$r?FTdv3ReA>fYaf1skdL8Bau0>dIhyZ6{>->H
z=h-Kfp)WS}yPFf0kN}6%isKr-gXreY(jf2AmFk0Ef%IlMet{qK64---fPUWsRyYrv
ze9MyJ<rz01-@f0sXD>DZxC8q}%p|u%c^E8$1lV2KTNm{f9&XPAYeq2$)cbQNQZb9g
za<g3D#cVs0^c*xn(A|3tgx2oBbTmmO599E`8yXZ8Dh$OCMXtW4|KSLNplIY#hxF0X
zC&;8Pm@mgYjd1k^#X)#4IQb5*A(H+VKjp>*{*LUUwLq+WJbc^03WDHUB+EkEc?eht
zP-sgZCFlAPJML9|-eN2dBqp3cgn|BiGS(Jx(}9U%siuPo>fay94&VKBmGP0q3Tzi7
z1maP%8|?8KjB+17W6|HlH&l$pTw+zK^`*P7lC}#eMFX9xf9m<)aQNA~y4%^G;VZ$&
z!h_Ft^yL}{FYCeU0HE~gYmz?HzbcT_Lk~-4Ui<l@>I(Ug-aKfwbOIkLA4mL8O=l03
zaQty*My05P9rJh=c1!&Q^(@E0CXWy{=kX!Xa8^tur$@YzQq0z8bN7kd)RU6yr_g0-
zgO?k*{BhBmUF&);XpR^Z$vley<@+ytR?kAwBpMJ0uPQNxI4x)f5?f=X{k_-AnIj!7
zm$uGSKE?6ZfLf9n-vF9CY|A~sGIDGFxt(fk_9a{KcET*~ONA^YPoF{afl-DOyCRDp
z<@FC7r#d&wlDf(;dsl$#Yj63+mXdKxUhhvF8l$NE3<c7b(SFUm)@SAWEo^QvS`QTn
z5>&yi36UuRW+i@Zp+9^2L>rD(^BC=O(Hb{wri;jKKn-*aP@x^e2rLP;1SI8Ek;*dM
zPDR^8FV03fZ#|>D_VlhQxcY|cX1$)+J$Bw#W!2w8a6dR{xx7q9VsA2urj>#Rdk%IT
zzorSrZTsV2qcemtfw`x$0Co&RUHmvAo)YfgNi&e+gN0yEtY<N55FjeS2dL^>eYSa5
zP5|Ov3#AkX5HvqneUWe;or}&Ei9VBTIXke-Mj;!a^!9j#$migQnB4{z^6k>DG=akT
z>7@?RP?IcaJ6P(7y%J(xy7}}&DW#0Y4??$Rx^|tA<dfzBh(R|-F2Y>9GX_yrEB2=Q
zyDHISN;6IJW-%4*^wKS(0w`o(>m4x|I&kRdsF3e|Oj8s-LBV;K{3CvIBJw_d#CCwY
zo5$If7<nBX=*Hmb2V_bOcb@LOW_Qo-(TUQ_cR@KQM@aRSh>8?sG<*7*kJv(i5oge&
z1>mOxKJb3Avg;~HyDqU@Ok1*r8)HsB7u<<l2;lROTnv<t^+T9>e!?`$YrQ~t2L)$>
zx-kMQd-P&j9o?Zq-5a77;Fztup?q#4Mb4I%Rt!=yH^gzWLsFQh%5iE)9mP`}NVL4j
zqz2$TMQh!RpQ@8%-|)MD2^X}LS03}7w;pMj$+Y7npQsV7Ghq{}ZZYHzU`VTTY`aa-
zGs>gLp2NX8cj*p{{56u207(?qO4x#Deq(Q>#^(geh?Ev~TJ$=Ga1N0Wbwt=9rK;cg
z1w5}@v)~uErl8zkp%pnGM1BKX<QNW+aFZFsin6$`7@~qf!x$gzw-I2-uJAL<HQhX>
zDa3N|D?G$T$NqQgO-!W<Y8j7T&GRIE>(11x1YZ_R_L<BUkZAzx`~LkX%MxjvR>%ap
z(KC<mBi3<?cxHGZ1cYysTcX_|JLpsDOC41ftoGVz0U<O><K6&IEHVr=xVp{K%!Ma$
zfy#ulefhTB`o#H=ExAJiz!|dxaoF7Ql?`|rS)Rco6dLcz&g)+TwfNO0|B%b%sb_=J
zKf6GgG(NBI*sCnh`9!D-H+rurr>Zd?kbU1M^A&W=$9<@IWITfs=+X*so>v?<7H;<<
z{r;#GbpQi-TlKFR#4kX?Xq~Aexp=D#RiQ6;%Uyf^>l=gNMe-4)Y=F7fax<0ykZQ!H
zLZ}%Ajg9;*`X9o!av!f;IDV!OC_?}Dp%~8tq>I~PLJ`Mfs`(9f69JPAf7J7p*2;(V
zf2WYA593oLI^i=BCHP|UJi}*quV^puWi~a_jgV)Z^%a;($N+tRpi%J#l~A8U1SZ1P
zJF+A}h`WGYxC@;-N$u^3VF))|9d^z8ympTh$bE-V-&8LK2uwG4mffiJnt<hsb<)d&
zqSc#lLMowEDg@vW-s|>}cFx6vyQo5&lGVVf1I#qbL#e8vWZ~+n$%4=78XQZ2k<v2?
zm2!FepI2tU(TgV!oB_|N1NP7FxBC5B%Nx)E<y7@OQ6CHHy=;o9>uTujd3|xlRrHYt
zc$i_(e@V?20Z^?3(X&Bima4_=4#0ha$F01Q3nE|qke0UK<LLtB0VPuZ-0lU2CYa1f
zoEPXiQ_ICcfUjX>4>&m)E*b%R?1ra<y|`QMdd$Fyi}r*)B*3;bW$w~!pV`ftc)IQq
z8bRvcno`}({e2RU5fRcB8$vjrD*Oym{cBuSU!KcF3g1LsFfljhRJh-~>74*!AR(lR
zHj|LqCEmLDx!#}ot>9e2B@?LBOSe`5rh25a9BWkFBC@DqWq~<%I&gfa9?lz?{LR(&
z>cM9IZw(aUBJi40+q>S`$uqiF2DtxmO1%C|a)jVKRXUe1!6Sb;RiT6qzyr)?;@3k-
zaY!tES%{T0jqFpZs7nY9brzJ)-9UB8oGX&HO?l{iZ@xJ_WDB1TAFMhXF$fJPqovi5
zog3GCYFXT_FTnEhv>^LG>`5l#Ugh$Ek__!IW@2l3dPb$nx151F?D;KA3v=nI&eYI+
z`}-SH?TP-GEu+S6t0p5=wTD@Jph4?e7#Lxq6Kb*P27cGHRgKlT+4I81>gt8Jkjt{c
z+2N8t{S$KWPZpto5ZzFh-Q_P1Q;G2vNy%wy(%E0G(%FxG(1Dt!S5EcC88~P57we2#
zZmzR;bwUT)eXODjCAFGk2XsF`i|#Y1_jnmZ9lZ>ldYPESxFEvx;w2eUrcf_{5JLNe
z2F%0zKIt{Pn9D`Jt>hqn09ROr12q0N14{VHfc2?S`ch#K0V0!>;cJVuFNCym%mxIG
zQ+dpL=~4aw+X}V7qfBh&_fO{IJpxd-XC3B?%Gv>mmAvl-V2re4cK{Ckg@Vx%^_jA_
zEcF1?NKwZ@`-q}Nv$#qcgqAm8fE>B=aFc`p=A9F3U(8X$%WGhY(5B%rdSIjt4%Yw5
zubgj&=$$5sKqe_(jhj>b7R02LB0Z~?nFqR79mLl-fzn&H^l&#2hS`IAkiQTgI(G6d
zXE(c6oei8;X1A`zvUYZEqKj!JH(|TFcPY3DHv}^toxMt4k(S*oApJp_-44R(Pz9i#
zu#{~I6{ekdNgrxPwl_ZXBEln$OdAtMmepR&UKH7Z5A!UtQX@{hABUO;5fHCsN_bpS
zJnRAYAXf3Ju87&)!E>$IKz-a|17t?Qj!)UnJz0T(z&KxxOG;)-E6_dC9MnKQbg6c|
zp<2X0E;W{DlYBjwa*a~OnsW{WjVD1GZP6Tk-~q-9?~NFJC6S@bNfGy!nw_|fiIf6!
zO%NRDhp@SEsh`ex-qXt%G4D061BZLryHs_OUfd%OkZp<>FE`~cXvUF!?X|nPdt(<<
zY)(X4F!|Ywb;UMnsXCA~9oq94?sCjJ_z?4UpXcAB70=d95OtjOOc&Iv@ji~&1XKjC
zfCE}sw}TVT1B#PrBGJohB0iCJad{5O%X@91`12Nm|JS=C0{c`z93S+vJO>r5{%qOY
z*J<oG3-tO3{m1;H-93{Jeqki2Ju%&>s^<edKp<CILmu>J>A#Vv@?soG%0)6aj|->U
zP(sKcIRvdA(eSRQUNO|tTHRHelx#Yqa(LirsHqYjHC7_=U94g(z{dL9c@~V{Hsac(
znZpB4lb+TDt|b~u6jZa%Oxv}dQJ7GW__8Dygg8*^Fp8$3?b;at72=Mzn7~&^x9#DS
z7u*d|^5)4p1h>_G<(+DK4oHpOY%WjqJ?5z@uo$TTsZq#cDKojEm_Eu&Zuy<Nsl;{4
z5kzY@PxDAgyJaj|8$d$O^0NRnco^X!$yEKa$l?g4n!6RLp2k4$kSdDLo~oopIcNL(
zchF48Q4E=w4uop9#q1v_(?lAhQAcZ`T2&3AtIp6cv@C3!REziD@Mm(~TL3{CLu93(
z%?u?<{t*c*U^^GqA8#imLFRf}S<|}1d#&K&({O=O@^qrbqF6}hICHt&Ust(gWm)c@
zE*a?Bd-;f>i+|zUp-PCZCfTSgOLj%2N|Zyreim5S)RjU->s@HzVx};O*HoqP+LXPN
z_TCBbnL$o1*J&K#tHsZ9MuVQ+79A@&X9r{i<ux>~J13Hz81*y;ZoIH2{;4$E(T`X4
zWwdG{1gwpk{f;a416@FmG>=!H<ITGi(YZn^t>X1Z$Q7x%>$r}-ulkjW69!54^Ph5j
zJyASW0EQ`<<iiT2)ImSz|5+-5JyVn~?N``1(1&Xh?dN6LGbK7pQRVWxTNX$dq$_+q
zy{d;H9I*cU*#6zB6_lQemcs9Phaqb@X<oKtBk90Cihzo2E|*DWHM#T^(O!dOB)BsE
zi^Yw@{S7GIqx#FexLYSdf@XX2D`B;0@WxHi-u2tuM4826_J5-P@9O!(Kghk*fS;@Y
zZ*IVi$S;?JDDRF!-dt#{TQ8A~31vPHuQIa^A-Asa_>l&1m09HO?DFhP;AiQs_KJW4
z7;yrD&+aDW+ud6u=IcL&dZ(Xs<o)nu3#<tw088qQy<!HTl`8)c7|il@b)(n3roB&c
z5CG!R^P?9jZNL41pzYo1OV|_4KeTE)fnZ!{zpoHjV96Ko#O<u|U#RqNGz3}T<@c#a
z?dA$6DgdFDN%g@qIfokgfcMB%0siF{_|I#-s5=V?puqLQDRUaL0-eGd`63MaQ951|
z)xw&%1xUU{`r)3bW;0vy@5N6h0%^60gf^Ujc)i#3gB~#*f6w9tJ%ew+9SFoY&2(oX
z+VS$wj}I_N+GPh-#R@g!)Q3}e&fIpTdi<;`XCcGpIzWgp3z~^2wn0S8I3D|yck4Hl
z9RrG=2Joazng0#Ds^(+hb{hBa>%ggC*$rD$9$gDXI&U;S$Ax+l9-ge`Z@cvYTau<w
zzI1ePxZ5C|XlXVS0b;U&$1Lx?2l$hGjS;1i*|NReVPLdmm2-XB@EmEByjrbj{OkfW
z=(wRc`HY6&^2wB`o&f)LD&#R#G<r*;^(X|74N4(cXoLr>HF2CEYYS2y|IfXYHOl?S
zXOX!S*}YzZN<4I2T<eA3f`1ZdL)ZmUhWjVz^eEM#umHSvyV+u~qS}G+^s?QMne=ud
zMyHy~vIpiwtWgEU33_VBsDmrcxQbyQB6+XL@eN#m0nh?bIS#-i`xCsyA#s?c+wX9w
ztt7Hh2^`bRu6C(W5ZSpd1m{}%@hYygMGa`pN~rPsFLz?z#?}(dLU#VNzmtE`a}_FA
z?x5^vTop`IeX|5q0#kJR*w{W@9UuqdZ~ynTpnPWJkK6-A^BbVhd&1yB6Yz*`rq>Z9
zh407hoqt?~7PwmPyaKhK%Ic;M(=0}kdeGtgc*6pBan`(KRT*q&%PYD09OPm33Pdp;
zY|Xw<<oAZCdU@0w%v%*=nK<&LUP`#zrO&>;_^ot2J6`d{OgDF~6UcV!8~Vmh*Gj3o
z$-g6gFGs}hc|iJ^n_p(#C^RU@a3;7oc7wzAKVj+V08cBMd`xKv0Z_f$BO4L?<Vw|%
zKRoA)e)e*Ho&4;*rW$4s!jr%)?u5-=DC4!|JuZLEKz2E;PHtHJSzKV&TD6tH*oWC&
z=<s9dDj+*I5mj$<QlJ;ekw#6Tb3=zHL?QuC(7W?njsMl3RIV#p2caZz8@lee9O2C%
zFj7CUw4udVTI++ag`CTuT4sdy#TXu*aRo@K=s|h)p^ZX?*$F(mIIvaAOR9hDdlN{e
zawa5+PS630l=zHFC^~qOc-G_;Y|6Og?1#Li=f&^RimSc3O)jQI?0~g#{MZGo!<g(>
zbLD_hsh!vyye*9+d@)#E;w+RI8-AuF97h47_ngX6c5_7ujlhzEhbo%68hQtLRM=+*
zf#<4(dP9U7=qVey*Z@5OITZwd+dBHGN6T;ii7@~CMcs0ZUOT8-laYxfnM@qfJ%64@
zJn!L8Fq2Tn2rfSpF^6YjyzLs?l%o(J8w|}s2;U7zIvL70kyfp%QynLaQ*)IIYv(|q
zEZK%}O!b_P`*HAKf<3M@2QWRONTKD)ua?C0!a^t?&;diIa)JUg5m@sJL&!)5&$aC5
zy2t`uZg*T>GmrW<0J%WoEUG8PwYVkmIB#!w=P?FrT;<X;pfSKzdDv4$_GVW+X4jHd
zZwl&VQ~xjnUb2B_4(edoiwzp|Bnbn$HzbHWq}W>h*i4E+pIJ}%<-J1B;2C>A;?X`}
zsg(MF88^}EI+ZC}1XUxd+2x5AF5B}`Y8NJlhOf7uLroALp;<-}53;K8uGfzVmuXi>
zW!X<dcOL5u?F%B-S3kmBeJ|Vrd3r|M(hR^#B7{<JPC)wA1=VXVh6A@YNB7Shy0dSe
z(OW0wYKF++a9`zw5GWy01uPuo<qx{M5&2^3ho_F+1ifDc<Z>U|N&!CfJZ9HLg%e^L
z-tYE2-!#xaPMnQ<^x;$j-7ds21_m79@VZIp0@oxZZOhcFW&K3Mqn=kWP~gcaD(nOM
z;$u>w#7ekh{GO6D6IhA|QUv$%@Dprd0TqZ|iqE6}!_y}PS+zc3UgVhq@A%zt2u_4k
zT0=H)2An9GChBl=({90mBm`|)^LphUB#7=y(L3s|1hEJ>9qnFOsFgkgKqN{s1b`)|
zH<axYX}D+_ruu+X#mn^v*{P~Prr}6x9wRbnGYZVShjP9vh<Pwiv9quYQ6)OL(DE6p
zI=KK>5lb#o3h^9~n3?4XITf>Y4kqU#zsQGE3nL)BhN{QFQuKB6)CH-Ved>)^+YaXa
z>#7`Jltvy-w-G4($`6o$ySeC{NiHLJj7~&F{{%IskI6*Vk)Q9I0I$=HH-!eHlAbf@
zo)qf&J0L<{iZO@!v;0BcV9*p3_S_2>M7clus0N@rMT(vFHPGJWKuNDdeZTAvdBj;J
zxsV5Q4{^fqP3;HsD9I00gHk|y7*v6EhC`2CiL=t4%gmCiY_gf5GA~qmIDXnelO!=T
z1xrXe!0SWFy~-EvS0M(#3+N=L=E-nGm~<pPv|FsE@W=5bupp3QRP-EMLGDMNsd!ae
z1o5IZdR2KjeKqUDiW-hLz2^PArrToP`aG<hff)gbv-8Ev@`W{USZ%NMPIV+xyj+`k
zlxA_6wplE@z^XM<v8*`ydK<LOTRPu;haZ3<SZL-2fftjfKuqsI!=eC;R6YZP?tTV_
z$YN5`du`>b`~GbIiELvYtlT1A1nkF50edH|f10g$Zj_gEtA=t39e{wM^XEBCZk3Dl
z5P?8HR|*Yf$!?Q63lD*nwZX6qS`8X<s-ZJFB<1O&eu(eWR0O2Z3MfTLjGL;f<}n`>
z5(2I_8tQ;~<Y$@4S4E%!DA9>q<HUJwPT>FA*Gir6y>&d_Aw)+~^S*$LnPK8>0}d|r
zu2UKEJ#Nri4+xB~5#|6OXcXC|1!xErdLDp<s`XT?G*GW?<^!(c0R|Yhn}rKl6Uv41
zasc0cmv7Kcj}lOVBp$%($HUb3oI&GcKuWp@K3RW-Bm4VRX(<V{49!yh{j>-@k%c{w
zIq+1WHsA4<NT{E2wfay@DdAV9ySQ?901nC#wlx?**(q@r)aCl0YGcPyZ*nE#@zpZ2
zfSp4pXBQ`fL9{3E*b*;+kB}(|`BhD!9o9AoLdfT!QVlYW5N$%oCIehVTw2-y__GDD
zV7B)73gkJ5fnsPd^gB`t1n3$OfxQL%j(GCTT3kIC{eW`XD@2QV=c)E@LX02dF|3lA
z&AmgECv)PEk61N##>ZafKK@BWQ=nS(_mP?rxn6#gi74r1$e-Oon<*G`)190aglxQO
z=c*PKHr6Tftt}Qe_8`VEi*W{)|JR-G!ThBJF|pInP6DYU6M3Se5<o=YSEWvH*I8QK
zWj9d$va{nCl9pZdk#0JB;=OLP=;Eo+0&SGTMJFUAG>l8G+SX7R#OBe17&MOc`n%eq
zoQgh5($gwm4;kfCGG*7Eb6_|^T+L(BeMJZ$t`4Laso27MPCMWrQMj?EnFkW@FVuK#
zH1y%lxlj4E2MAjx+hQsKwk=;())?kjj~<2JH&$Xnd{#sx_t{UTm>npBDkvY}@_~QG
z3I&IoRI?Bxi4aR%I4(V0uur~%ECj;v)Y%|aT@UXy<UPWGj?<^U<}6$UMBjb<;h*ox
zU2>|))nlC{i=g;)3$z#}IhLM%yv{=_-~{wna)Ee3(>io~csdi>XJ`H!F!qpO#09Og
za)j|JRI`Xfnfwta8~EKLsVmR4Zvj-yY`OC=Ur8Y=N&Q(r9P>oBdy?RvLY-3GkG47j
zlF|Q)ZvCT%kbr(efcJj!Ck47*>_1-M>47Xeh+1?REb9&YQ$DBy8f5ArcsUHut;G;Q
zHzPsCA~fU(HMvQ*=~=)$6%r`JXLJ}zuL3@CgF-Yn8pkqr()-<f<_PQeXY-$Mtcir?
z(KcS`w=ML?!J^YNlC!j}ns{`e;w48Mjv_wdC>r?hCndx2j1w+HJUdVj_8=-ZX%@SL
zdMAyviNX!R`9XD5=Z$^|2n(rZQ6;h)tQ!H3l8v6r>g5PI2dtbW`M^<sf~)xbo6WcZ
z<_HDvbc1$wBy~2j)8oYL;P|U3(*nsKXG76yLdQK<-I0X4G77m8?^1FOH3m#JqAufF
z8vkXr%vOo^QNL8{eN1%4oY{p#A?LX`i$b*W3n2R@DgZd0;q5hyNzo$$Sfc^HL;96W
zp4Y3hf$et@VTwBLZ$VAI64E0oL<VF40x>9YV(<5>zGM-Xho=9m@>+OPKDf0?=0}ma
z5W}$e@jVl{TD)e!jso)QN&(@?7sTD)fNX;;#%>LSHYBKMQ~<>Tgr%>}@j<iO6&NqU
zaEkfdyeG|#=Z}%Rq<J|iV=eT?IFz8ic6TskyP0#$@o<orgGaL9Z+SaaG*mSrK@=c;
z=1`ZUH|2-z(MkwVlwWOTLxMAnil#E=B>)-!h3JhN5IeBCxf@!EK*B{s!Q89FoG93C
z^urx&MIoRNu2o(b%0-OMuhKWUrXF(^b`Y>ZEmj-5ehxA4O0g7P21s+z-qGhpv3e7P
z^U?`TP#MIo+Mt<Sliiskx)Wl<vw|2wR0UoaLVT3uU)t<5-V=^%Lzq4AldkPuMH`#H
z!Pex6sULwXssd^k^I;RWhG+Pm;T-&PTDlPtur%n_TQn5*yyAGh#YNL%2mnHxDReFO
z&9j?$!H2L|qX`d8>5q^IhIA_UDSWe6_zAb%c?o*Q1u-=IrxJ7@r-2wwAKhMr6gF^m
zjay<A+}%mk^U&F{LSvF4mZhNN%w3$Z;qb1kdL0VR7k5X+`weiV{%reI`~8r3i$(3D
zjXu5N6==T-BD-{!<lws_w}EVvR$hs=LEYT`f!Q)@g&b+y6kcf~7<J&L$<lY=^$tT{
z?xUF_G0=k%{5gTz2>kv@5@1X&nnH2lh0;g*6CN;IE<C5&iSe8{ZWo(Jy*7mUYhx7?
zp#pnW*tVgRR6XwmX88hnE2>b&eQg1d5}?5lG0R~L>_mk-jTvPS=<Q=EImrd9&&nG>
zXncvc%iM%yUhT`~eM)>2&_%SU#hfryq4+UM&Cc>Vo8F^a3-ugS@ucXeu8ny*BZwxm
zkbVjL0yP`ywizUfI^0;*q6c~t*}+TI9ew-E2gI4cjX@#umg+09s5hp+jHJV$tUh={
zxOl_hdb%8sZJEafM^q*@(tdlA4tsIWuHPea1eO27XhLpS=x#s?TY)MUZ#Dx*A+#xY
zS|-}#<t-Mi9Ee_hSMH|KPUjtRTpqO}U5|qb^IIruvR<xgS_?T_DT8y)166s@@Aasy
zdA>a|5&!g@A2NxNZa9Zf(9Xq$U5jm95496|w|sf`X7#?e=RZd0$Fo?n1mnc8>vfPZ
zId4ERCri5rD28YUzs|J^DwQEyG;N511s934p8&-Ib9D9M>K9<!bbtt{pMKP@jdS*w
zbHt!#0p<z9#9e%Y$bPM1B=Ao)0~v^@sY-ehGeLlY2KVJzTq8UuO{v2kU}(a?eQ*pf
zRFWuow*T0M_A4FG)Wr4bf{s9%^H+|g+3XUGNpc6eHm!Xf>K;24poI(idh0S&GC$IC
z?fNFO#Jk<D>LAWeeXgnjuAmZ}x`FE<MIGHmC41%jKGlN=(2!yeD`FAe*}UxKPE5m;
zoMmt#I%?eGLN>QzIw&HB;XpS|`n{4w4zzisItmLq!&_1k9N@sxW8EdHI!4_jPNhN&
z8HPxD9D<E{XU4nZXP6jjeSZi*^mUVHzX~j!jIZEg{B>Q$#Yz&9FvqmdHqZCjN%RO3
zW+4-L<>l7(A5fs8QT`HYPecGD_jFYZ8gtK|Py0r9f+&i?BJLZS(V%=UUc(ofjGpMP
z6}-el3uNPUNsYiAsOFzmJ}8=d)@#b0hzeUge&9hsnr4wZ_-N)7p#OO-InH=(BHAkh
zsNT`y28R$i-X4ZWB}HJo_Tls$p;oP<x&XBaFG+e!HH%?D+A%h02q}*It#;iDHv*87
za2SF=G3r1ieJ(e<FLD*F{s^=u={Y=zm>A2WkPPbtIlI(B>Jf!x<<trpw$ul|yM|E@
zI_kR_hE(P*d60*dx6Ur+ZE(%<VRWD^<%>b&R=?`ASZo982R7@7T(SN&G>63wq`?)C
zeFn21CR-0>3{t(wj>xn%zw!vdnGA6)*P9dHKlwYhoTbk$fWijbaoJ<&p~}HSJ>Yd@
z5B!FfBpzN?Sjza(Y87iQZC`{8hB141?F~3cvL&x@6fBFMizp?2e7=2xrog=qs_WQ5
z$q|dEP(_c^N?idXBmvZubhf{)Z?_w!fIT@<Z%6B;y)~u_3A}76!AxI%y1_x0;%<nX
z*efaE?Ril*RbsMn@Rto!<hf7}q-8Xb=;G@>)JJl8%Fiu-@!<C?7FJe5By+d{B8&<U
zU4?Il_Fi^YM%~{2Ee}vpr{vw$P)I}sHJ+Cr(SgUF)XJ~4Q}wL|KpuNc2{8VI8}+Tg
zbS*Rs&cBHkf4g7O-rW0PgxL2DDh%%SPP<8_>Un2#)UE#pCh!GMm1dqF1C=Ww#I-Nq
zO4OQBq<6^zXQKrgK`!jC7Qi%D96{1C3?7FFBB1Jwlb)0Wd$-?^Rm~Nb4NZyLN3K>a
z_n@#v>P{!lmgP}SzQ{bd3r(%Z4;>|vYNn~0rW>&~S;Y5DeLbbBQIMR3x`O$+4xdeD
z7DAD9vt}p0fU^HI2IqX%{7n8PC^OE<3vZ6L0%Kv>vI;danH}d#5h~j-apeBoB9hV(
z%C*552nyv@27&~~%sK|G1e&r@59To>C32J|EtB%7?_IpuXoqzMb<_!j4w0V7|F!WE
z#$1JdE>!JY06(%f6#NPWAkuH3SEGTl0+vj+=KKfbz$n(uKwJun3Ht{Ryf^fbRQeoh
zksaMQTjt`;cBqOgN{`h^$gEn?L-iY(xFtc<#p?Cji#J!nag!n$ZLx}Hy4<3ZwWE{g
zeB@qXmb_!QCm_Hh_ZOXPfc&~C_Dxp~Bu|^P^ca-NFF;^^gPhN!@XP0nafE7%cBCS;
zwR$LJ_g}AAbh6m?*mK8tYM-b&+oij3uXuw`>j6Iiolz_2ZSOLuUb+Lm5I#Q82fh+k
zq_||g(L@5ydi)rrh7gcMqZ)cb>6BcAdw3vd%6#X2MvOZpX-r3pbvej}TB?>?7MbVR
zpp901sgQM!ZP7^{RUn-h-9J=y#UfUipM<V&I5G^S{HnzpJGX@RXfe24zC|m0;cdFQ
zQ{r@bttP@%h2hX{gXCxm#EdLH8&0#pi-a5wQ08+ZB|F_RFar^^eq#QI=fo~<Rcq|{
zTc4q(beK?^sB-}lacxw9ZxG^z7c3h6Kf_QJT}!}Z>ko>aeFo!4PC)s}H0ztJeU-}y
zn#!<gE<6jhzF}aaQk4$`xSb+9UHKS>8qmRXD$Vg)j|)-sPAm6F&#RMz7sV{~pUsD{
zpiKDv-(&h99%9aaKcdy2U=Es_`CwbjowtBH_`^WDr88XNrcaIf9iu@gXiwtt?i^%z
z8IZfYfe|7TPBS4!K)mUovb2hn#C7PEcwTqmZNTqRL^6PI2E14$O!#cz;eub}a_fHv
zIlB~tN`$Qfj?1Gd{0_v&eSV|jIBNrN^r468(af5Pb1_U*0ArVmW1+Myb4v^r$F4vp
z!xa!wWk9`CpKcn#V7LH{#B(CT3UF2(jfOy6NC)^;Eol+mpV9x$;~i}RdpU>5DWxL^
zQ6udzp!1Xk1H``&Lp@j8O+-E#4@aj0-hNo_ez*sGiK&F~j+BU{`f58LAv6KJUgOKi
zA7<-F<$(}?j8i>h@ZEE0{8JR~|I9KK)d~j`ssrOW`3HE9lA`J#zuy4(tLK3I-okGZ
z-sA@!qyjnU<sG=1?FFET-u9+JufQX`?qns1q3+{@fSrF1Iq#F4uEhVx-g}30y@&tf
zPCHs;CzTM2QYkdZs8AA$WE4%3kRr3PRfN(YBQmo}M&cYJQ5mHOkr6UOR@V1%zw7+Y
zIoI|1?{{6_?>`@ZoO9|F@AvEd9QXZLx7I2Oxuhy~(1{dZ+}kdlSGR`1UbDR+*V(iI
zMX~~}9V=eC2EzWEudAW<0ZLUuAM^pjH$ryBOymaJ_eF}+a)2Tei|dBwCh$@nh%6b1
zI?ku0-^bd>0DhykwErAh7dPV2M!l@3s3Jos(f#+_eUc^_O6Je7T0J0eghn-d!6&%d
z_=}waPT(Y8NEh1sj45^`?CiM%VLe!4cNC)=qsbw{WV-%8k;Q3mAd=;z2xmd=CO0m_
z-B%VH+sf04u*e1dp&QUkH}HVVv(W@L5+RT4S>gkuQT2K8mX0ifse)gU^gSO;0T+O-
zpbD;9%D@nm7U06oe};RzgKdl|Rjw2XQtw10Z1A!%aB1QxQ}`C8HC4Fg*m@6ZPNBhn
zTAhgvelj*!4I@P}aD^*|$d)Xpmma)=4(8uqF+x~(y!<dpGgzg?`?gB1Nhx5H`D}sP
zZw|>WPoab^^(8h&_>WmacJ1LFR=n}3){jD??(^a^xEt#S&6J60>YWi{@_m<tG1Dvb
zW4cY|NS6spvw(U_tS^W31b1IfoLv42DI^<es3}NBfxmWWl3qyKe}{nbp1phg_FOa(
zI`p1NIH!O&5nDvk9BKH5t#c-@!tw!rsAa#!a(wV!7to72dhHL!7F<`?;y$<^{L%q!
zUS8LyCyIN&W7oKY#*&S$rEL_h9^$Vy7sTzIv?SccLiOozKp*GboQ1^{;BvDGS{ojM
z=Gb~E^-Sabe`0TA{-Ot#gFIA1;MQzfe#DZBI?d0Mz`I}74Abp^r}K4VDY|?JTw5>I
zav$r%4efsK3pV7dZx<wYH-l)As4_tcaI*fyr#&EoD6ucrk$nBSaGSl}ND*4{d;c@(
zG;Eg7%ps75Wv_J!M9>8jWR)|4_xEIoU>+IYC#Y_9UYSGe_d%nb8smXp%Bt}IsN2FW
zvS0Jhoyab~>z|ecZ1B(+d|BMI=B^DP)6|tbLC^x>r^cB7CxJ&J?u(ax+L=%5%^ILC
zu;P!#qq4Jm(*)CLh(`OYh5W(qyWzxIgik!fO0LL<Wn=_ZLF$k=%DvcbhzjP>Tz1n2
z9I6WBDRbC^pW#xo^FNa@WR}P|Ih3Y%!|(Gk2kN4)TT4+itZsRR{cNY3d}N1+HW`&{
zQQ2B&b>mfYkvi<XIl#laX}xGa#QSonWc*0++rTK{AYf*2sttg=6ybeRb=b=Iv6$qH
zfB*d@<5f5gvRzF*y&KDkkeZK^08?7BKSZmC+#4{D#?u-wH_<Ibd7}`{yZ+d2O5RjY
z-v&986@NM)g+pWH4@&SI#mP&`$zv~iAz{8(F+>Xvg_`ig7b*e5M`4qdDWmMguuXtg
z|Nim#gw>6A{|PCnRaQ5sWNqUqO*Qdb0|%!--ift5tH8m^$6NvVQa(XM@6E>sJGnmU
zTfYr1ss}xvI?IkiL&$v2L$J;~hF-a0BZ%PnSRh>j=9WgtvklO+m<pX5U$q9j^#AxG
z{xmLRasf)y@-zypP#$R+o6L!K#0x<YjZdKh!cN5%SpW<3fYIW`f<n`aOEK9Ektg5H
zv?-JdEYw@jCr=wLpUD0re(3bJcRG@<;My~6e}P{BAi!y{!C-m_rU4OdpPFR<^*p{z
z^}-g-0_B&!dM%dZ&>ZrO^=<0Y9OCAraq@*Xst6@Uao_=E{B7Ikq-IzH*EW&fGIAD@
z;{sI;@maKFbdTRUKonF)b!{TLs7BnIs|QUA7I~9Q9}Wz+{u=b2dFbr2cOQ1xzU5*M
zAE6zVW0cNw2EyO3PWpI}F8AWpq09c~%cY~65Ea5<)zi(fX1KT7emAzz(bi@sBqR7`
zFc}C?PH@^khr}vKOi%!-;DaI?@mg%vAsRxao93gUQ@CE(hAOb9H2BHhLs0Dc8nB5!
zAi3dQw1Sa_6?W`D5&Ew>aLO;hMl&JPllo!QMrWCE+r9esjEsM!hbKu!g8pM3Xuz^|
zA9KXQ9nHYKrEr?VSVKu-2j6}~QRRW7INVzF4NZkDSUCk^n$Ax_+Ocjf&*_Q?NXS#V
z@kd@~IHLH?2N8Rqb(GXMm7If6j{fr?n6&pv3Lb%odx6%YJ;mRK&_c{Xt+lJP8GKt$
zIB20pbog(-4FP&s2sPtLI>)JG;6v;oH`PVo+aLP61JiP6bX0CFgm2^T(hkEls0bB8
z$)GK@1S2q!FmCNLV>qwHhqmMPTtEVKX%ZHG_i%;+dB^&sjr5_kV=I5O%tcT19imjh
zv9D;07QOUcw(QZqP=12ANk8b0=z2HsF2a8ZrjR;3?2(urciFXnEyX|ONQ6k9=mn_W
zicdf1gEF8I4_s_;lLOd`JOn&x9j_$^yh_-P@M;`1`NXGH*Gip!CrGw8yZL*#ArQ0$
z<DQRZIndSq+LFx@b4@+}TBIhPrcEK#?QqJH(nbLj0knz;7R{F|;tTj?;zOAv%<zNu
zV(GF>jg~p*fwKvDzxBS98Rre?Zd$hEHdvc)!HhSc@!~(znU=5IO5)#znTcw)sBc|C
z#7MDoaNIhr)&ugj5qmtr|Ky5UTolk5zNjF~o$3>a$kq-$lN2Gd@B9zN1zwBu(b4fT
zsvoY<Def!#>riIj-6{u*g4kg5W4L=7QOoY*r<n+0!m(N(=s*7c3cG|iN=FjK*I6y_
zl7^BhAL4$^RzJ^n;8F{b(7W(JI53QG4XO=gfVrSdB<dkN>l+n?y9*fLKAR<|5E3wF
z?7{8<TCsFfy=^mfVS(Qm#lwdK6?yt)_5b?tG)xekw1x2gMyPsAMz>39G@<QStpiCj
zEd|J*e81x(@+kR%-qHiLtDN>l1RgBFW|{++mO+>KMHG#U_1V#ar#_$J+va4&pr@dU
zL>Ei|*Xb!N4sxvU;_T7tDY~&jknSKTH+N(f(LRY;(4jr}@B1c34<ZzuYE+7N9(Xzw
zjME?B>*sk2h4?(UoHc1ZD}=}%&#iocd$y4z?xpEQXl4~xWMH>jF?)HE+F0W=A1YuT
zJPy>W_aP)KoLGK%w-Wlme9FUw{bwoCI(g8U2PA{MI02CpiFASnHq)mQv)vmzFe5o`
z)xRE@{0Gm%A>!-EwPc+|TGf0?J|GC2`TlzVYD**#1`lFoVWc}t<Z0xoNRv2^knHb-
z>ET#iJG347aV(_D{O}o(Hv}TFJApwitiJ%vg@s`17<DK|bCRKO{^jc?eG>~fDg8)d
zninF~q*%5dF-9B|g?4QS%X}pTFT@Ui!zDzjmJ$vHdbk<}mGK?_nsC6RAw`6GGDLf>
z_?zO<wMADZQ3h{B^m@8N+Xp1wokP>*ifrih+34aM!B)-<bsRcG153D3evnK8*6F=$
z8_UT|j;HMozM*ew+HB(Rg85ekt@G+Q0yq;3Rf%r97<JqioOHca=0JM^ai|i(jUW3+
z)`~;Cog~9Vj8oCDvjH_k9*!(tXjcx#jZzq*_OAb&?xx{b+uNw`J_;3=%x4@=Lyc%v
z7{Zj8HFRb$WbdKxY*E)+XMILR&d>Z8*sGiGyJaD^yZ~jWMu`6T3gy@xf}M}k4T-?f
z?A6jNFQOyAX?qQvl7jkzwHb_`>vAvb_stf=OHBn(t&$NLs2jHl$*1M$N_JPLp^QE-
zSV?OJKu!s^AUA0vf)xdfr3-Ke8^x|*JuZbJOt4&liw1AR^k8RRr&c%ktUWUM-0^1J
zJB;BZX~enz=9F(kp8+0bvGaR!Cmt%&M~ScI@P>cerDNTzPcyDt1x-ShQ5toxLj?PG
zw75cC*Qr|_$9dL>g|+~)?|H<pOT444Moe5P?<*kqi=iRngHVEvL>URK8X*$L7%!aq
zcpC)wxss5TEaTC&!`-!;DHJ>$Az|T*C@!KA-GN?Lw{g32wnTW=lC8Gq)YE;+%5XMw
z#szTeQ~3S0A!(3d_K)gG+7LTDO7M+NlgaH$Ibb%wTLlqD?W_?__|rM?ogQfKx9+*K
zF1(<&6iDi*S0k(COpgrH@rHYwE%>QTNk(t&frTcy@l193hS?tq;LBJ>U0<Q$xHaWN
z4O%w484#G;jVD)?M@M2+5iK8jUtCvL(0OnUVvkmbQ1m2g>!5ilZd&Me1p2(Acs??p
zhoFKK{ZQSv<rP8aDd|xA5BT@)A7Jb}k}u)9CF-hkb({~CtXn}{@^nAeOJgQ|_s210
zV5JpUk^{GOvhX_HmKq|z54M=QT(|3h@`gjXL!Oa2pr$&F6$Lm~IqjE&R4f@lzdI>h
z2;#j48IOhaEHS6T2PnTjy<xlsCJkjkKTC%I2x+=074)`J?QjLz+1N9wOogcbGplP~
zYW#G@9G>tjpE8~71tyjx0wHOk24fZt-59ZsRDIAE`8f6rVbTRD_`nYR^LiN{i=Ph0
z04!W${&at8#4D^M!xe`&yQ@>W$5AYgd4#Ke;16Re@NxM$+-vmV{jV43qIa4^l_X{1
zJoQQ$Wm~|y5$tz2%&5@d;fLpe)U0%Q27Q~fO!0#E-i_$)=-N=kN0GWaT-K**R~`B#
zna>vxs>u9WJY7FV0<9At!^EHSQP0c`QHYNU#x|LKT!VG6&TI<Q$ib!wfa@WQc1@_B
z3$G?jgVBjDx1fm$44)Jz%p}ccruu)-^~QqN79UtNy`&A#kOgEwGS9CAKFlA-s7WIQ
zkc|#WCN!e#QdbZt8M6jh-1g%RL2lIup;0Wlu{0kg{DT?WTiAFd!L=Vt@ggRI&ZX!g
zJzUcHsQh{3o^yX>O}hT75S1)joDX-)IvAoVbI?Kv?hy2O@{-r=Soat@Qnl<}-2dn|
zfeQIJp1~V%QPB9kyBmGDPB1DeR02j_=7*sXr|LNwY8qjqoFo8k;UH$i!CV|gDA!S_
zjf!VZw>;nlnY|EKT*2D!ToU?sY~Fx0Ya87>O-x~Y%l6KMCwVX_Sxo=6IhbPU8k~gL
zLs+hl_bQ?B30Q{VI90<B#2*aDM|c!aU?a-%-JGeOe=Mdl&(7>)yv|x096^Hq4?lUR
z(54F7D$5*gqyj<-6m3|qZf_b~_RBYl9#H0bMY=@;xyLGV5W%pn3pZM<qh+p$D7(-N
z27s`b@v()~tzhl*8Hds>qoCFtA73MsL@bmn<i&Nkz(=;Ja48P$`YFfQWoxHp5)^T3
zJy3yFW!&t^DCAcVbR?1U`^x4t!y!aan5t9%S4eW^6R)1u@DmHdg6)!@4+Q~gbM<9<
zSJ|?2aV_#{T$Wh_RdhbX_DmSacS0nvR*(NEG}B6*=|RJ|4pmaM5+)q;tC9;#CKOP}
zU5Q%9MnIH%5B61~CMbC-u#0bH;-)@mkvxc{T7xF~Yp|5Yt<tRnZ<5b7D(w5+CTPUc
z@Tr#QMfx}oWj>!Jh@XI(7zv;2RKdhLqBq#bxuEz1@w%6Wdkl>Il<Ia;0f9Ss0bS3G
zE6?TnnNrl-!OIv}WflXgl)w8KcMXFP`Z!6jH)Z8RwI^Zssf0LvTrft&zxuE3?X2ue
z;f#BN4O=;ck6W5V{kOK$_oBBu<Xy!>qqW$t&{HM_6@i{c$HvY+6H8n<ifd;>jn1Lt
zx7N=*U(mL?_KM*9=zaTMl3+v;Iv5HCSjvx)Z3!k2k*>~cWjw-18vC&d<?mkOlSwUD
z+lTA5=sOrVHz?y<99cG>t&=9XMI&_F;vY;G%YW5FK^YLbkx}HMaN7ENwwJt{DH_ZS
zS__@?n3WSRbJ7tf{l#Uvg3UT)4xK|%K;)1C03TY;QT$JEU<gSZ@sEcX+6@a$x)Ok3
zoe8ZOZ7#;8FA}iwhO_`8YF4IMpx|1F{(3(2FiGW)Yf&70C)F@oqXX^DOvh0NhpfXD
zn{adk1P}pxX(`h;svf>Y;+7Hgnt3?34b~kV#kN~W<tuIy95nP;6l@l8u|QpIymO4=
z3+Sd>?`se2&>f^}{F~g9`gLE>Ow1)D>uwu;UyY@V4koOU?2zB_RHKH{PE`odXGMGQ
zR_gI)u2IYF+95bmKaC$t!)50|n)5UZ;E;4cJmWu*m-6dHhFu!1%AMpOBO!UDHMF(0
zTP>jkT6_cH?caf>Gm-_?K>QZ&r*B!vA@f;c)+#<EBZSLRd7pu3WH^h{R#Gr-W|178
zcOHeSI7|h{Lu}~*7P6rceH6>;$4@mgf4%z8zspe#+ft-%Cpe~je~xE+OE$DW@djxN
zJxBwSxw{4J?1BczVT06?LPWFp3k*U0=>ddTh|4#DPCdv3!*Qq_MIea!&p6HCX1EQw
zshl`A2@2Tc4uTi%08SvV3fdEs)GMzDu<0qfCu4oW7Uy}uksBni$HH50mw-!YRoM=Q
z`YMP)7#s+ovTa1fhNtRidvVzo*j)#Lv<Ff_WbkaJW|JJrQ^R$I<yX+ErIzR%@Zu^V
z<8E=`8q3`KzvEWWL<{+wr{^)R7960nQW2b-;)>@GpeVw(v%UuR$P!#{`c0B<{bM+1
z@(^lrcigeS(Hvnx#VO*G<^_)8lLn~FHy_#?iyAD7cgy4ipq$P|TtDhV-@u@6mysw~
z<PL$DJFR7MelaTJfW4dM4t5-v{Ps#Z$o858c{S*c;cG_bc;M5`r^=Vl<?DdFEOmZU
ziWzh~NtL68ZGxq}II8xw4iPpB7DKqG576|gBG+7BBTAOA+7naKtmAN_xl>-><{QZp
za+}TBLkEC;NYVSdm9vy_?7H|D_Ffz4dts>zJ)RarTNFCtSc)zqaJ-;b!wHZ7J3e3G
z2IaTdV54WH+!qz}W|MpKAU?sCvA~g#N*r{$M;pEt^}ZCV0gm)woZTOw&UVtLJtX~Z
z+2P%aq@%?Fe#>EsCpYvOOK?Hw^rnm5mZ5|hS((e@63VCApVBEK|3)t|kiZi6fDRwG
zm4>b<sKcU$3M0zlD-Ty?zO1&Ab9NESEJn40eJiY-bez@aVzb*uYGmpUF85OYlc8I(
z54PwUJDE|a%w@oiTQ4#4%X2|UCyYCoNqe=68jAHb3laJf*=x}^?LMC8R(+g4Dwpjf
znr6yaD*JNtY3`4IQn1K#WQ^KYmEAi}KgBNYLjTx!ZA0nqyp1KRtIT-{r*&p9m*RxF
zGcZC-dIk>eJc>1ldpI&iq&ZJF>Deevynl)Uu5H20XzEyc6<trA;WLg-@zB~X(aFtE
zr28yJ!J(tI;5zcP`AQ~5s}xQa7Rvio>##N#n5fKaq%Z<&-YxEI1<jw(PK1m*tDs>I
zNSLz`hue32+Fv(1&09naNdQw|zoA1FG7GK^aeo;oV;N|2JB8xMu|IurK9|*g2#}I-
zU<u~xWG_mIz?;m-rL<X<^1Y{hjVwcP`E3aB^XV6PJIS7J3w-^~Pu>Ii^X8M{t3-;?
zdecFNWR&N!LO-yg<lS|-gWrM;((hIjK+PG-{&5H_7bVIa2S5OVf}4!#$t7a(uCO|L
zl$01}f4zM;kMda9<=09GMr0c^DXtlkgKr6l!pIhVfl_Otu5j|a9m_Uu9K*inz_1+W
zTe3hQ;dM)$AfrXX&c#0Ut81`^^KpPLrG6E~_xMr?R-Z&1ZBy<F94x&itWGr-D8LR%
zMX3XIp@=$Z7Zh1p1+)T>uh=>T+ck(g;X4+wJ8e%sED#wFB_+$KXxpxBjjoFolzj%g
zS1T9FwDPjCzJ)D|`gj$Q*Px2DR#@AEnFuJq23jtzas{jNvfQS+roQ-y);kxvyvqzE
zR<QnhRP;~z!e1ADsqvyb@KZNyxTXsbEMb}}MH7(L0T<4`!IRHRA&|)^FNFS>%OSeG
z6nEJJ_MU@J5vCz`22_~}0w4B1*ecV7Qm_$;q9wK2#<~g+T)dV_a^|dD$h~ekj|D_f
z;SnTUQmOcfepk0u()f=ts)=1g*duf+op6Ia8Y(QmjUSxyu1$L}$*e`&86xnlJLj#f
zMpgnNZtExUBjnk4!*sbIyKyRx|5(5wG>fTlxev&%us0?JCZpsZq`-k>7<{tdz;t-1
z5sG&;!_@?uWN)pqywS&fcz@D1qC1KE%DnNfNlfySj0<!5NvhvRa0P3P;TBv>>Nvd@
zQp*6vMjqL0q+E#2aFwxo0OrfN5(`iJ$Bw6$Qa&&`<xpnPD3UKiT!jkCT^+m&dtcZO
zt9wTbnCH39J&Ims9&$yL4PTNtlSW7=u8;-Jq6l@A=JYMhQcMqJ??Qq?UYdN=p!<7L
zsO%;vLixtYKB*(5O9DPDIy?fF)*u6Dl!Eg33v)=WipK{CPh}<synfnNvLyIfP(4D~
z_x%?G_euJlLP5L$Eb?)~BAQeC`>SLhgT;}t$3uEDWR4L3na_oE5HUsiC|7dpk>H*H
ze-;z~){HBY#CX6e1D0Q=C<@WwM5A1%k16CGKL@4K!B@|Gm4^y#dh55Hb|xu1#l^gl
z;Z!Zkt4B4z<*o%zUbR8ply$^mENm|FHHv(JCZZ96mO6Cn=3_8XKI!gi3%YIa%v=H9
zxXaq4hMG!KTSDUjOSE*iQ#CcAtgL+W;q^_-ith8~5+XK&Pa_|!hQE0qHIhUzk1kCe
zMPn2&ZGf!y4wSr16I}Bt5`Fg=VI5S+9CP*>@cCnnrO_B}gFMtD_u0pa8dlv0ak6Rj
zGxJ;2!b@mUCE60C5&=WW#)=InF!>8I<K*47=o*%igucb%3ob47p(pU&xKr&Q^N5sj
zhl=d+UXhhq=Qr+Lx2w7D7*>~0op3!vUqChvtAuMsVGIY}i4cSw3r)VogqzcL4Zh92
zyuSOU*z;AIB)7Yd7UZUIyDU;X*VI5_9xn3NviWw>IpZIidJlbmH3+?YK##WuHv!Pz
zcjGw;T>CFBN<TWU#dGR<nWBRu0jE#u<#H~3U0L1~O1=LvxzT7iR@_MVakmZb5C7&f
zbq`1)G;~?I43uVz4gcQ@21m%F2)7hty2P!L(IR<JpN3ok&zAxd9gM&T@2fg`r=y6`
zb;X+yJrCcQwn@R2Z-}TDnJeKL&dd<zi@q{MwWzi&m#o1!QkL*^lXDEJ(Xm`-ie9EZ
zLiC(rFu0Xf)?z&%Mdy(HYo|RR^E{*nah~=$I$P4^sF%=fk-ik;73b$26ETdLD2o`(
zn1GU_Sc5mzp<ksMP8<I#of|Ff3zEG-69h@CuQ8^PviVdo3~r*4OO$@2CY7t7ejJ#k
zBH53VU5Rg(ZpD7$BY=Ayf}0b<nLyAO#w=*kCrs(u5VgV7C^gGao?L)@Koe!{P&3#%
zo{>_Wi_R(55g>(L|8QVD4nS$bEqJ;ujl3Mca)cH=HBp!sS3JZQbRt;y&t+5F;SZT|
zF1p5Dc@B`|s<ES+`YONRM=YU1nw8Cmz&80OUqL;*fh-MERs3y)R0$WA7cN~(^3U(U
znxlt`ay_^=?&p<sjevAhX6bX9ZNaw$4jzrBJ9PH+Z!P+Mbz@(z)GTT0QUgCiv&nNd
z>)WHsoRRFpHWByrf$VX8>D(i%a2rqj&@!FE9txcCHt?de*yO#%h0PVH_#bpV5%L<-
zuH#y=@s!^HvBAH;T;3JuydlJqUCZHkU(+A++`^DKOuAKu_13#qZ3%)CtN+5a6~O+q
z=vK%3D?Ahl@3(JiP4)H5bLsR2t+!uqw~~rCm!1*&LXtNj>PP8mvG9Gt!b*Z-KSuQF
zavSod*lu&*e2m4*)0b!XZ6SbUa$|sNJe&dIS`iwD4s#kxA~+(rY%)_E%-ntUj8IGz
z_L=YH`4P27%h2mJPxhEP&s(>9byrePllAvr=cz4ez2s@50F9`!SYfmWAE$t&O>}}B
zU;!JrMp96~+j%yfvm{{B9Ge0-Lk=7XHa1q@hbR#nf!R%NHzdBGcrv&Z$zG~gX7-1V
zq;z5((d6(v`U6h$87BhzIlme?pe2G~;ZGkxW0J6fRWhs*t;Kx6eP`)e1RDjPB(Ln4
z$(I7q*NS!=3%zJ+X@5;-hM#Bdu;{<9ca4-^=-d+$@1$)@lwRhO%d%rlqHlae6>!fw
z6FT7=aht1m<18M_L)oI3L*$c+ymF#);a3|FY#!ifUT6<{xqTzW3Q>TjQxqgcS#ZHc
zK83{;xz>G{r1!+3@mBBmr*n4hpSu_Pd^EYExV<oM0&I+oS&GA^6p=9?_a#4vxvvT`
z?_cw!?BF>{nr;=B4twVPmjnSeu|12Y&q{S$NIsLP;i;utF6<fl3TJ1k_Sh6DeJjtA
z_9;qXs2Qb|_}m|&*MUj9(V_DL7(tqxyLvW0Zy8^%d~?!GBqZJM8<sHB-S4ne_iX0Z
z^*@p28gQo5!Mkz$=yu_MQLbNMrU8l;Ot$1h`?t{vf7mR&3HgDGN%enih-bqISF-vf
z`5r*`ehw?oof_5>a&CCwW{li3d|kPPN?Owf=y37@K!gnF!X$Xw)PCMr2FxXjh>j}R
zSVUMk4Kz&ar7oRL`&U6!L|_*@*)#l^*iNcKZ63JApgAWg5G-x%f}EXNn<Qs|=e;00
zIAQFmIL}A7&YThh)=#`0#Js69sl~#vj!|=sUMb^*Wn3<N8`M_2>lHMg0ps*!QoOAL
zE-JP8g<b=fQ1a*DfLK;yisNz)seu?WlDsQ3SroP-l}U;+YwUP_;}W!;UoB&ZvRaM-
z{5~|+RMMXIi3qZqNw5zsgO<ie<e%N@S*@_flR^{k_U4i-kdFJbUhLTUIK~fmag&JJ
z=^cRqDy-Ia6pE?xMd_J9uLB8g@^JJVN|dDe2npfLZl<^)%YKdz_BO~-h%K(ycEYCV
zs9oRS3>m|om#<Dx4MXVM-6Hh;pS5Z|7B1uO{|1^zEzh*X6y^H98*5KLfJI(VT9ivN
zc|~nbE=6GVcK~NHt$qt)g4Yl|mfu3E)jpO}l*8|@u#R7N@G8(DuWG7rzv#W-fYl?v
zJVM#$8UyM|^0fwO=260?ljW=2{M81RZ`89Qg-!+)FzgJ4RO(O&QLfn}EGfs7gUTG@
zEJ({(=W7X)-b2==<RY{1VN0iHi>@myN-u^~4<U>AuIGSJ9Q+x~{22`xAIz(n>l<<j
zSp{$;)bsjl1t2`;244^dd^j?anYUahbh%H>WXiB_(bU@9@%3hY$~njE)#(he@_hj~
z!IeOVy5_&%AO1ax%nDlZ6trb#gk5YlcrXDN2_uDe3^@B@vM2@>ox)j}ddcB98azkR
zie(mkt4+6{3_Q&-t3!R0I3P=SgDED|&4GAJty%&Mf|7k9yGX1vq1BW|Q4ryNRGJb3
z12q=Z6L&V5>)}u>Pd{n*7y*{C-Sc@j?w)+G+PF*7<fW^F*B_e^jJkSQT5_EU7|zuL
zDV=05=e>P1$wY@eG~lVpAZjbao)k)yweqO@*E{3Lzm<bu`pw3+Jhroz0_7kE=}&bu
zv9#QNWr^5^y5-)=FR3{;Z6L0#$&r-Ln9=*7CLO!e&4KfFQL^twoZd$>r*A(9fKtN{
zW@Q!TK_3VN4yJ~3q(XJDF^%Mz^GFVgz-_lP*m7%zxh+HYz6UO5<uQ#QwvB)zA36?o
zeX^_d9kA*0Cgyeh(&rJ-?mo`*HP}x(l{S0DB<@jM-u<sQ0~vV8uXm%p?boIge4H^H
zs+{B2gY`3yG{Vw=2?LtGP=XO+68ff?f0*o6RFR{!g^$L=4!YRUipRZj%kXGI()&`c
z4}$s%vdzUAFJabaOHg~xMrbMM&QBu^#OkVQQp&sv(mfV>0-Q{^-(z4#N6}a8?Iy;q
ze$w4EYvf`r5FRVv_b|&=4mr$t5V+APXQ&x>=ql|WDV<<onX#|RF6Ba$?heIPpy``_
zUEJ9lYMN54p>&)%koB8Cpm!Ij{z9`Jb)<`4Tx6K1Kl6$BClrlMfmsZB2wX>TenpH?
z@GlQhLd5YyC=j2xvjr+Y%WH=WP-sjY_1P0nlaudpm-+3Jv~6P8TGv_-zwuZxr=WWy
z=tJh(qPTbPF!B*JzYbBt$~Dm-mx*y-hrkc9`-j6louA-uyj44=s@(JX)623VCq6~T
zgAn^^R1_t0&tUbPPXROCG}!f*{1zV7G(QW;a*?-0Cbhcwa&LVHtASPNzfKUC%EZnP
zO==p59U^Piz)*S}f|`cvONRV|5PW7-EHpnj$g-cOE?F9kdeYNAx}?&2(JAdSw?OA=
zIGtOSx#`s=5B)UL4`SL+b)Oox6C+EWSrlsNKhb?^<FwcdtqaSgafhxVNI&MIe2(uo
z(V6G{N_f_00DcaWl*u-j0?i_O$>Kd)(Kob;el0Wlr-ngh4Tvz8V1g;bf%R}`?lHP+
z+<1nZLKv#T0j-M0I^}T=gGhs$;p{@!HzRvfbNGPLsh!Wd55F6?V)e-=eoG81IS4AY
zBWJce*V*}giuZ7uLUqu9;~CHJ#n++I8B95fD<oX@4p7w{*{%P)0;Z_n2h!u@Jmy0>
z2SWj>q&4`HdxpHwKyEfGgnP|=?WT9eK=ZFYEW*?w8sk-RRY3LLveC3R>tDMDsLSHU
z0c<-D#lF{Gb+5SBDdAiHm_N#{c#yeKYW6=rP2~61Is@jnv}PC!M0-r!jt*s9y2rcM
z!iPeQ>Dh~<kiji3%CLXndY_N>oEhivUS^l~PMba*3((L4^PQ}BEvVb6&n~Vfcf)aO
z)HLqkBO<rUr7RR1>&;kWQVKbd_Us#G|GWSV>qER4L+uhg*j}-cKAE&$v>*#8cPH)h
zJvw_Ri&t|Dc<5s4%Fa<OhEpPEPxD$Jnw9L5i&lpI5}o4Hit4!!`1)1)8S6Etomz}g
zY2?woqjQ+8aO}qmh%!`cU*jG*{a#D7C^40P3E#gkGZ$}$79Xz!Rf$;xjrb<%h3RuC
z)V(DMGhdL>g7j3GFGHa!j}cX6zVK?;7Bse)jZsdUj^>CG7T&<5ZeSPHv{m}ndr6(O
zvjONF2T_ki5}doABJ5VItuwlP6NRPV(s@!@l!yxI<a`Al_<Cd35Lfb)q3-$pki>LC
zRGp}uVAdt8ED1Pkh5@m<!%gPeaSErZ3b)cdurs%|0D=Py5hDtK#Nc!@S?}>caKF@F
zl_9*RatL+PrX=6|CMm$!2zpwc)(hZ#E~-p<w=*xj7le-BE)hHLpum>54l7qo?t%>>
zf6e>~QDO(UM3jug;$k#>_OIhhW8znVFud@lO$VdW=`86aiZHG29#zB!963PWi4T?-
z9>H>%4+Rm6R3ShBc1)EGPVZv`K@1TJj}3Y3MFRxPchW52u2>Oj%(UZln|$FX94?Gt
z>>A3t&36A|{4tKb*lsFGUXMtL?s=4T56T(}?_ND#&0)lXSg<>TPJJ1y76Gle*UD<g
z|5<J>HEIlKC&~)t#mVmHs9FR5^z3Lw&Ar#0MlLJhRlnW_crJGt?)_z^{%2;sJAPBV
z@+gdVYx<m!6tDmnw8(*E#X|*)Zjyp7&Ej#|$CBD+zvsHg<bc0a<^Z~rM2$4xt|3@b
zTKMpyJ=^EZiQyZace8lY!Fg9iL|cT1sJlQLjF8#-)_-lsO2c0q+AUHUBToVx8g2{@
z%|8tc@!-_VjZnPzuXozJX50~d$H02^dF2#mr8$P`|3H%?Mh0+^6{BVtaz=LtJ7g!O
z&T>q^9cE|Gr+N}h#9YXqRJxx7bRFRQ@;x0|<j7}J0D|mzra<+Uyq4B3P3i14Q9N|R
zpaRg@y&81YzCree|2#niIpY^1X$USn*1ZL|a2`bRt8L<;K8Y`wgb3=<Gq8^tb-u{1
z={g59yW721JkEu%{)r4rqbRc?|GKFW4pc6CYN6JfRXENQF7^N-v^wntZlFVo`(ya1
zWBB+zh<Y76#{@7mQO}(5mhEKJ3vy?Q8P2;%!D_%2@!Io&&6GHF)c{A(swEd=c9+&a
zuUEeN*S6NIg>EIE#4R<$IKSKoGk}*rTJu>K$e;&rq6JgF$bnTcDVZ1nxVMk+PQ|^8
z^SAe>^iM!ru31Y-C#2ev7@9<zXm2_O1v&LM20f#wo^>#`!EkqXEjV!aAk;&&qsa5|
zc{bte2`dDTSKxN8gvfXu5G1Q*tBf;d-dfCe9!Q>cbxJ&F@}s0l?wT;UqvWw*siv<1
z#3Cm$+y1>a&c-dJCm(<e02wM<(jW$`XCbB()1VFA&VD8WkUs22Y--WI3&iA_l558>
zv1kg1Y93H#e$zN=yhO7k;z>MBghH$%5!o?^(|e4I+M#;?IBgQl$R-DHTj5)2Moq%l
zw-p|Inu#gJzMu+;@m>4S5nLzrWOlW0P!!Ci+?`X9FI)oLxvFGq4*~zMZM>G*qPnt&
z>+9U_qeRjX(pQsCv?^|eH5aaBl<@=7M_U)%3dx?tz`yn>(=VBmFa?cVoxQNMW{Q-&
zD5WL#+}kMHd)O8XLAdkOB&Cy6+LX@=$7f-eNzC(R<`+r%qiCCw{2G$7NHFf7?3wDR
zTtmr;$V>2)2H9xM-wEk1l7#+PNWOSBZVgT{E!yH^)EXo4XL7~PCAUuN_nT2P_^)Wo
zp4_R)>}~2KTb#AzjGt6OM8aR2ck$aD>rYqudKcG@G}woH^t@`04b&x5``_sZt7>I%
zk@pT((&U&L)kVKvaxm~Mh*_~?`u{A_u%F0|COUs9<g$nInIb6pfW#z?RP4V#Xoz|V
z3V_)(c7f*I+_7doH!qF)#Z=CI&?HGw5{yKX)d{cCWi!F6<$+(*?hxqCa7^VWD#{z>
zIH<d#t&c!EqN^(z!JpKZ&h7aX&T978Mf5a;pv1m>XpD~Bj+8MB)&HB$=7KLbHxf=J
zjqR=~b#UHo&!bGE^PVifi15>6G;Ufg%@=!VRTnyI8qK2GO~FWN9LwJWbv}pE;)G)Y
z=5q*>4sL}JG)X*km1{0F`lrZu$zxbiT&y5GGRwnqc#t*)ykstE(J9X~ADHuP_M+P#
zu|xBqtmL7}50GFefsmTMG-fCA84w}aGl1<HvD!;d2a`B+ZZ1_!oO3yeQdZcDP%a<k
z$)zkU&DP`C01`tv1ZwG`2hXP|24iUQmLM@%BW@H+coikvhhuNXPS8o+AB>iIi;SBC
zLskT7ZmFI;%|{U&Tm4}d$=-=)YxI4BuI6~xl=E|_!1GQ=hj2nDn^|pXTrQ6dLXqA-
zoz2nGz3$X6)*jD%4kdsh6_*Sn!CMaBLzMZ2j>_R<xyOjCww@&FR<<a#fs$uV6IVhf
zsEE%9?~;5GDk@r}tS~x<;#-dM{tKrN;rlJ6XQ!NfcY^2n5Mb3vOy;HMx&_Oe_0mjl
zu|GYFLB`=wPlaQ&3H1vqtUV;FB}WLIiV4@YLu&aQ=)XJ3TBv8&AJ|Hg_-Qq0Q%?LS
z{NhDcanX<0-I{RHIBDLY@Et)u^2e)9Tf`4u={u_7lXZj$E<|$tH-Sc0w=;l@)tTd`
zcplJbX;)Ikkgi7MloBwdJp9*v_P0gd1Edv!crmFU*_}HE^0AAqI5z?>sYBPj&->{U
z4t<gw7h7{XlejPP%a+o$2wFZRIJv!V)F-zHOD}c1IvCXw?Rn~jG?ax7AQI{u9ra}$
z4uW-JmG7++kk=FRw}4P|s_rO;FW}sjjD3_gQ9L<C68}b_sd)lkMaAHjB>2vk@8H;U
zak8Po0^{-mOez{E_%9inG*>#FWOA@nI*L;$YQ5O(E%{WclDR7v)uv{WwG+6X-lMk;
zkX;I0UO>CY)Y+kH<Ov3cG2#~I#(7OGo9@|UcEVwTD%t+U!%s$J*^R7?Gf<j4G{*jO
zAGqlKvKoEm^a(Rz`jayD*mcVwvgkCQ!hsN3E<4$xhO30r{=V*;r8));pm(0sx1tGC
zby9r@_@NQcnT4UL6*Uga$8{Jm;{+6xLsN{#kRY{|=rs}$UL~U#39>VUv-}L1Dl@RI
zfx8}cn#buScbo=%Gt6&94cOh#4n{4zYQ=(8A?G#S&bD%kE%x0fIWG8?j7B7uX<4Ns
z8F>QD#M|aI#lo|!(2TBX#DzAR`wWbR2klrSE^upD12?+eDb-Jr*;u?s$e8t{UZPZH
zvY_FgLxU+y&_=Zj#GQ+#=gc~yy4cof@HDA*lCE?FE6zG=0;;aXSoPW2+a_UgW+y_f
z90h~M`vmk?jpR(H0Jhh*@PaUtyTkBhCdo`fWJk9}r9dp`4j^mgQ?n|Gq-K93yuS0g
z=)YH=fATV7Quj?R>c=*r^T)A>inHh58p>KU-3UVIJ3)Qq*gJ>oB*;D(VgIhEC*@?^
z$z{6M`d{U<>Dph&#sNwmK`18|in#~LkZT@z_0a&eULG#deA0E}pfiXIb4N`gN96ri
z=8K+%4JqHpP=3rOgkS0a&b~a9C5IE+Qm~I1sS^OB57xKZz#uDF>x3ouR;}*>c$|D(
z@0?`63L4#S*)(8-!sXzI@QoGI353-pDFKM)Lv{p?LVxLBm6>8IxkoT(fjLgr<MsMT
zw1;uLVTy8JgVK-O8>wOSb(5?+1y*w*$BJ3pG+lsWJsGNhe`z@W>JfU4CA-L3hfm}Q
z@iHEY3uFXE?@9RDPGL@n$X19`ROAat?!Vq+BOgMnRKk1Ut==Cu?aPS0IU;IQY!%il
zzoFbIWiZc#8=;V-=}^GIYn5Y!>Np=j>=JTKk|Ckh(GVo_0u%&xWNT2s=nqxLDMG5r
zrb}~8RKClb+e(;u12Ik4|6@U>_t+RdUG_voktAaQ1erF-VOnn<O2wrlgJBL?DJ16%
zsPs|>2_zW4<VSIEYoz)Xwym8t?SLzEtinmx$>rUzOQgL{m@=K~gt-uwDfp#@xLm`w
zf1T3Wa>}sP>Fa(7z@rLlWh5;?p_5PD2XHukA{V~nGxvbS&y8vdV*Lt#?!C8B#XA+~
z<1)Ggv05H8RIP4lk})e9oXGY>ht|wO8p?17imLU|x@-9IXHa4tK{m-Cja;F!+(fF%
z*k%GgDbqIXR5pZp;lgB7V1#Sn2QP!kla=mkYSx|>DYRugZW>6#17O6aA`Ct2T`Q-e
z3e6-xHuV!_J~?LdX^2Ui;C2S?NHvPT%VpBh(R3P>%Tg`Iz;cQuo5*;;V5jkO@&Qcx
z51|`z#rKx@G@MRKUG)9#$o0r`f4mcut`|{CXN&H#s}@a?0{m^w16;lfN!!OJy?8no
zs*UtyARpSrlY_Vmgo-|n{G{p5E!>>GNqshwIsAp8xkgKxJ2f2)y5M^@A*<x?uSx|*
zNAveD8UJQh3W<C0pWmThWd6rm$@t$I%Nd30fBq=@9LA>p&+pAt_>V7?{-6A1M$Px1
zKlZ=h?th=%|1Ok&UGR+E@xQy`e|N?In_bay;FrBJ?j2!0poRUX{wB*m7@=XNfqVT%
zSfnmBzp8PKc)CjWgvd(K3^U5M8vPq$*09BRlqHmwLh}mX&U!Gu1b;JZlZf7_%sup9
z?mp3SbkVvhBCz2_T=d_CqP7csfWqOdROmt5^^D>{G)#WkaZMd|qnR6LB@iI)0U34a
zOJgqDI}U(3tJcu#jY;|2Co1OcH;3^j@SBcJ#%z}Ry=*_zZ^-Y}{$-qD()hH36+a~$
z!Z3!n2t+_QF8YJ4zqh5!v@GEx=x&Yzd8WSeD4-yo@I}r>Ys(W2wp5Wom`O^#LV@)z
zecSo$Ye#5U*iQRwrbsfw!3TU`J!Rj}*YaGt+37v65!qiyvNOEy;{o)>rM$iAm4@vk
zRq0N$!f_$kPn_Xer@w0Im!Yea&A;4`%kT9d<4L)xGZu+PGvgybvwia!DZ5eh>HNxV
z$KP`C=15}kteQQpmF=|La2I_ejQ~b@%48Z0T2G?C7bcE!j9L}DzmWbfzBFW-2LI@j
zz3iX3l71<2o>4Ej@RCc<XZ$%mC-tS#JLv!6E9{X^)$D@K8LC+~7{4r!^`n2A2IJ3(
z_xCbh&ELq6OUZ$8*~?8;3@IwRETe3Yzn%)AHCYptYj{!Q9v}GoI26<A>zvVKGoz2;
zk$1WGtEA9)$WV4aCR4?FP*;qvu>KE#FQPjc_EqLvVZWZF%HcmEkrb=i`u7^v_6_rV
z`kz1a`|mUU<uYvrQRDyl3X}i!u>Sp<B8&cq0?L)~Gyna^{%?Le)5rJ}m7S;+dp`jY
z-!01q2<j5@+F0ZVIgNIC=Wf?{9(Zz@Naq+E({eeQba$<)8Fgqw>to|S8Ij5Cf;KTO
zsA<l<bVLr<Aam#jCV88$6ZARBzZLi&p32`=VfK6O_xbcbXoaz#$hEoOJyS#NvE^Sr
z2e!>rZHyoI`N@z;+rBEh-~7P7%bL<h2TGrDF=?9shjOCd=x1bBFljHN`C0#da`fLV
zj|^|5|9v3PZ;0uVN*`!Y>h9W+zGm}_^qZ5&5vG6t{)!PMg*Q=_zr2QFyz&2^h2G`f
z5l{=1X65q>ch#Ov0{oYwujxs}MUxy>p65TFf5vzH|MhAA{g{|WX`U;2Z{2_lY(>km
zjIyAPl1rUPTjaPfLtAh@t-j7Ohaz4e7%(T^fD#4Cxk*L^2BHUqLjkQX(Khjy;y#q3
z<Kuyv>;8ABu-q_UYgH{qF}y6kU<Lw}dRzZ)oli|pBk-CD4R~9d)@R%4BAc9nt5WI?
zrPlxGb4I_$F!7M~)NULIny~Y1WTL6{SxgU;y@!^HA_5tWIZZ!CzeAHlNU=;2Qw&KF
z*`;YHZFX*uXAwzkWXC~OObut?5Z}X}gha9rlM@AUq*@;bP*H5}1HJjSPq!gyQGa&S
z!MOtZUb2ZFd!8DD?oX&!yvgkJ_|%AO4e+&=7s}&@VCYf=TqfrDWN)yvq@4w8!-ki`
zTl*%|9V}8v&yV(ev)$vQ-N1X*>n)}x(s>Gte4V-aUhK`868?j8RZe1Iv*uPqUksrj
zw-&+rqg@R87@)#78N;Gy_ge6}8JUkail9hdNP{D(`^R|V-8TyRHk>@*FiYawhB5NT
zyxE-NRA{{vz@}QgPXQ=W?@0&!C8ayGFMb%z)^RA?3LLS;`cL$Eq^|NG@ap4E1;#Ga
z8?ssx$$7cHNKW*f8Xg-QnG~DcR%EVO(c9-zBmRJe#>fR!JsY{Z*6HJYkmdb30{jn~
zWm;@|!XkV<3emn_Yy>Sa2fT-wm6I?(OLJ$}g{j=3o*8v<DN|D;pXH-=s4i9!-5)8q
zR}}*c6#Z4F^Z0uQiuwv_DXrf+cm4xE(bMIMDo<8KxvDCNC@TkgM*lPl9UE>iuun=G
zk^xv!_Mmjk#-J_2rt}jzqz#8Jer}s|%58gK26eNDk#8R`i?WyAy!Hwy5k1|5Sy0?b
z+h5;1)cGzrpf!8rzK0VPmLGE<f~meCmr|ac`_iv`Jl9a|)Od+crgQ6EtLQ!lJh!3j
z4<}WM_E;tvhak?SW^D0`wqM(L_qDE{tJnSdZ$Gy{B@Ix{p62)v)`3&=+<gZ+{GvC|
z%bnyJv)iBd7Z?LmKu4VKfy_PKEnl8DfS`xFnAA~S^~7P+>bd;(RjT8ss*}Sr0bcEe
z6Ue;ZRM;MD&t6!ox&%hfsTPD_$fQ9f_hTkfoOf9s&NvrtpnZ3Vcw%pP_*EXrTlYSi
z7l+GyNG4xYMrm$AxLX=lN*2$yOHW7P0qD+saVq=-cI6x3@MpOm343#v5zpHSf3W9I
zyE#*PFvg|$M{h%e#K9RZw(YVp1y{~hBwnsa?8Y+Nyf$Yf!eC>s2ipu3OUIIWvmP8s
z(5;ve9(frH?VaJ41Cau&0C7nH2Hs38yPiasA@YGoAyhRh61%Rb+Vjeb?W7ccyVM}&
zvNikcL_N?zZpclSHw8Bp14FqFlSjqC@Q;BFCrh8^CYeM}TasBZ`ti};CDwo@KUE8f
z6e{3c%I>rgX`OR-%f&<<Dbqlh5FYGZ|2@K1A@nM0qE7|2N-vuMo2T{dJzJzacOg*h
z@JyUMChF(@V9M2Ir@4hgYE@^1Lfe#vWwRbVur8H(1gQPNun|tQjikvfcy?pymU|#t
z3MXE+8yXegYCL~kTj0c+xqV{lVRj1*d=Cf;q)V#}zvqqqAxrRSWZAM97ZUrM7}_?@
zTw?ZBsYtOoy=U)%YoebctriF@jX8C@KJ<I0^!~gan7+;?Vplx9Km2Zh6f?$$p&xh)
zSbV|c;n2TejjDd|@ZRAc5mnVsPiqYzCH?hN^V*Ms-mQP3AUo6Rczewu<HdI$R!FIp
zZ9Dfx{`p!azd2$z9*$nTZkDwm_LaOkGv}I9MeR7JD=9kfyTh}A-u1j|ZOV8e6ciwq
za7CcZq{-s$7b4rW90CFgeYk4JbU(Mnzfw|9QX5d^U3uPu|Ecc&v)0D4IlLP<mc+&=
zJ{{%Z_$veYtT&in#y*(2@kIN`DSorBCAan)1$irzBI*(9C}FMEy8x)qZh$44&-rC<
z!%#$FiBszl<3VU%?m!n&J+Qa!oVtQ@P(^k9<HMU#rHA}k_8WLJVYXWIYcsjL83MCW
z<C+VVR?8jsB;}(W36YVD#M!F^hPB^a*(~(^v=NNAe?0eFlU~>#?#eBmT4lV+M)^RV
z$)k4y%HlsSa(a<RugmO*7+d(v1lbd^7f8~!cV2%$*b2Rv*lEnNM%rO3qGv|zh#kuw
z+E=*y$Ai|ujE6I?s_u?4e34~`!>ifp>{1T^S#K^3IDxOX8sF;bER2d|fxU#N%n~Ne
z<2amKT^Fmb11A^VE5I5Nv4EH5mUc|aUowwIMjfxu6`Lgdy;V<8p>og?T+p-c^0Ee7
zZZU-~2vj|%5ge}ElPO-mP>9<Bx9q0AJ#%>*i>>eOWSIbd*o&8K5^-!+k^n2O9EZIt
zvox-f3Z0vt8t-D*SUz0VF6PS=nm%K1>Hz_D;H+o-k3Yo=7&+LMBCBnh+Z5FtQ?Rda
zE(T%xB{fHsQH1`f<|RS~t9P(7u_+I)<F&u#87*kVQBnMOw`+U-J}<wlN3mm1nZ>0=
zz4p%SXbfzRQtDT_R-s<woa^NYs>nm!cz={C#|8-V?=NbP<__wad&|=aMM1T+%FG1;
z$|`=|x3m*Bqzka7I*wf!+maRf!C}|a$cbZW!!n-7%14r#W|RuBiv77BDu)<lfp?De
zW)N9D`}3Cn1#8&`c6-rJx+!;BFB!jR_#Pp>H`EtGxf=eeU~eT?<7_xzJ_wJ;9ohA?
z;55^B6Err@zFf^=H;Q4BKdUUDG<<>g{Q>D+l3qPy#-a;4JlMKz<l+_P?ntuXbw0q?
z1;F)b^M$j`Nrpi$V}L)Ga$e9p8l$9j*$quttxVD>e2eDGFF!)3@oCg?ErfYbX1<~@
zN4!jhB(-K8NQ2+PIzPR8^T3`=0OVzR@Mp{uBCnivYIUQ99PDLm#4*n3u9)P{v3vho
z!c6Ny>25p0wc7$y$Xng)^hDbC2<#CSdL)v$j$cnZCNWGe@UBWAcUUC1P=+*DKs~_u
zXCu4%nhGBZFEeFz+^XX7(?IAo2{gmK*4Jzne^)um!6H7QV|99K@j_L<cM%Fg3uYV&
zi=TN-^_r&ty15}t{wh@oC{FG{aa=(@Hp^|d6OB^zr;`)v{+A@l6?23Fztz|w@M1*u
z(rYskW7aj_^WTV)$GoU{&yt0przP%dv^%V2UmbU9=V<@eZO;3OAIM&CV!Lh~VVMmj
z(}fi02$6$l-bH$yRIpY@pJ}pK^T0*{krxYWGPI3%s~3t!RJ0vZ*(GKi<+_i_GpMKG
zK=m#Yi>+>U=lAxDO=>(lbLg<{`rt(8K7BPsMv&_BtU2-RE)BL(U~@O!T=QUt&D;Ai
zBN~S9ZR4)^U2@#Pd|vFfR^zJcv9QQV#@;TqUQ`^WaJa@oD9T;yFAfgta{ZmcrS?ea
z-@9pr^v9;9FtFVFhA_b|)key7=R+zc6welJdw6$~`Mv84C)kht!L&9@?%;|@+xDM!
z;3#WnT$GzBHc{TdtUbQ`LFS6LuUDVd?DJW!9o&TE^ryqAUJ;!aKs}p?ZGUuy^<I!A
zr_Y@0uTe^RpI!z>E$arzwHC*ZZ!Zg6@<Pu0(BNI~B7~B&J^P&+H@d%3yZ85ca5)kv
z9p?7AQT6tk(`X-0i5*Nh<;}7B1gyg+Yv-55`?>my2L|3#H+XVuO@#WF4*dgJ=TB?J
zX^Y;U6QQJSBV3bV`LOfi(+qW=^&g`4v%GyD!lqUE_B`rj)>@Psr_fA&y|i!QoqdwT
zsY|^`K09X($6`&}yC!w<VC}rf0L}tKxNA>*N<BX0;N{`J=R@}vhw$9`eKu3??BgO=
zcKiD8$>tnbeRpT^<C<uzuO)>)>ckSl6K_|rahyMUN)Bel-CA&?joE3m*(OEKuz9CF
zTgJv>y2~+=mYj(`zP6*oAX<HCt+`IssDc~wC)YoOmWmzP>t(Xzxeh#c^%pjOykZ00
zVpz*Gp}$1G?I;^Wt#5Z>?7*%gLLqUwzKIjx!0X&d2}$skZkn@YXNQ!?=>sOE*#2Mb
z=A~5|6v-EIy$dlG;s`@*OOSqpmOue?rDvM2>56WWM%ZDObX@Zz=g#r>Be4R^hQ+H@
z$2HiV82g@b6E#-J-oM_<*yCJ>!X=C>ueLN;+ImYP88w$qo?Cqt1XI;L;g_aN!bfO$
z)s1^$58Do|cb$yK(OCi2u<4c?_Cj7A4)!3&r@dInv^;Co$BYmy<EKqC4VKwVe3%Gp
za)W!Vwlkn%#!Hab&s*nciztLVv02M;z9-L4t|rIP-ahos5`zZJz2{2%a;0ej$2^+D
z*zFj}e7OCj)FzRG%$n`1_<8NMm+u~qF+4vH<7JPT1mrK+@}_=Ql5R?#b?HtOuS;d<
zL>#qVT(Su`tGR9V&3R(pVR>4mSN6%a1xo8>T7A71Jj}b@AwzuYl0<-97q;)OS{M@T
zJ$zfjpo51+lt(+H2N!tHod-HqD>&|Y9@N)v^XrlOF{)9Q*ft4aN7wlE0e+>bO@+2K
zyFxrrQ*elBClCLbCEUUL*wVnH7OIcaKAUlVz%TCp4UBx9bus9@4bTDSc4ozxJxQG6
zU8^m!XE^xh^BY_Si)})#a}Iy|87G;b8KpYJ8?URFa=R+nlllC&n)qCu0!0%NmGetl
z7)2<}J>0cp%o1^R)wZXK{e>PB`urGPZP1(6a4)x_lV$CAlu2aKJ4ww(^Q9}7&b}V6
zj@D@tBri8mp<VaVc~-VzG<@tTXxhyk!-L!7r5|tCkyZbB-=|gmyxd}o72?0Ppi;!&
zSf$_Pr=I&h7bylR$r=~Td0xKPr!$zP1ht4MBs}e^*L3n;!tG*mZ<D#Hrn1jSWmE@D
z!>K+$pSrB!6~Ck7@69<V!?m@;w%sPuWSa8GWPEMplhrY7N}$`6-=~=DYVeIZ)(Fz9
zy7`gP&KEtWiZk_Mq!I8lfN@2i3X0C@>Bcp&SNI1`XkLlqv~g$K8F(j7;*e_C4^{P#
zqcpi;*BKqFHxT=r=6d-vs-*$}YtOxv*hMu9E*#Oi65}70Ez-ENtgXvd%Cbqx{tWbd
z-|Xd>md_DCTV?Y~#mfXTIp3wrtW_i43y|is%&=LpxZSD!UaWeRp|SviMUHO~7ZcSo
z*(*Jfomk;56TI}r;JDbO@XoVwvC=nX*P30^R=CU=x$B|ev_i#>cU^lFKG>i8c<AKa
z4W-igk?}A+Raa%&_BDBSU+Vqg<XYt8B*OW=S=4a<yQ>3ybMQ}Z!)*{BC8|exZ@#7d
zjjzo_%J%z_`+kd6CpD_f%(WEU1C0G(`~1KuJ~z5Ry^v4r-IpNd$FVU%8zeQA`F~{Y
zkMQ<ink|y3`7YA9_Z(Jj;zZp%NZE#+nB+&cIf9hm>Z2s0u3<U*v#;{=-inDZZ`M-@
zPH-5W5pdq9`tGA{*x9#@RcJG!Yt2j+p)quNx$5&W(>?tttO^tgH9DG>K3;dzd#<={
z@}I(EtG%==wG7{9v>y;u=ne4yws9&#x^Q$7%BiCIpiaY2GQy|3_UD<DD=hW$KWn|n
zZtqy)*^W}BeH=0sGEsKEdxD4GZGA<0=Bra@KPKG0ZZ}vj%cA$q(E+M~GuOUe^9g*D
z(5Ze)?0|z@I$P`uZzYjYowD%eW}DuJ_Kzr1WYcMxtune}k$G!Wtx8?<Rx-WwO)UCp
z@0}<Iabjsob$FtjSZPdWD6^n!o4=F?QZ9nz$HH}YS$|t0Rvn9-XK85S{!(*d+lt`U
ztLz(WIlK^#<|V#7R<c0mLT8$Y6FBN?@gotf?#SucbGSuRq%b*r^kLkA_?qU6h`p)J
z96R@ur`y9@#FcCIyQ$9VQ}sJiPMxY(>%G<ULTWf{8f&9=xd|dXhKAV}y1#E&{bSfw
z*C$xm`oTA-wo}G<_(QieUrZ7(Dc*?eD3ne=erkVFEmE<TG5m1}bnj7?QVG4MBEG|%
zjIFqQtRnSS!Nl}RzN2HQ-jC>Gwl+2&Bdkx}oKvCDOP!1GqBwhBtu-p6UXe4lh>K`l
zl(*5+TooP6`PzeXahzE=+cD_NSo^k#|9pR?=zLVqA=NqOIK9g4BU(6el?9%D-_J7h
z!(G+6_kKDr^$F(OEEcZhn^dZ=cdb3rEueH}VhXbmMz;jIM!Ma@mWV_Q%cj$j2rf<R
zjXmPtFoWN5)(`H|nW3u52dnHubSnI#lzdEV=Do<W{gxri63-+baeDvLfqOdXXASOm
zMb5Zd$MzsF>`|Xl@v*EMt1pY`89Pf0#dqp;N4Du_T19o2w+~8ZB`#blTiFwubzzI>
zUuvHhYbiJT_%E<o6BrYI%srU1*W=|;@jRUf7g>ib0W5)ap^25^26LC8Z1#>me|A)y
zEqrAE=U5IS(YsnjiU!)&vO(+@MK0XmX8-K^%3v=yu{Vnz9OK(}CVa*sp#>tAh4H(U
zL~fE*rWKvk1xE`+X+7&ST~l0L$}QjK#lNeJ6{Ua7!!))O4x=r;p`}8OIZVqBW_b*V
z<yfQJsWFT4kG9UDo%K@s^V-f!F$L&U<CG^xzZX39gI#>qrRMWV@sgW@6Tgb>4y+y2
zExu_u9LxJ;<1A8L$q1kCs6SM;0b<xK9uduVYJ(NGLS3?9$tpXJwDREVY^}j4uX}y{
zwaK-6-=SS9=!?y=&^6y=XW!Hb^ozT~?`;->Ptm}d$H_-2vN>DFHpu#|o5&3e6uh<i
zHp>fNvC1g!S9V4bdDfSfO=!-G8mUtWW%(Q=k||U3!dEt}v+c*BbNq|nrr2@RPj{(f
z9uaY>$+mkU9ubx47i{cZp0<0qI;+Q)Lmi<%8D@3g)!Zyl%~~hB_&!i{9`M?9qCIB-
z;ImKlqm12sHv)QYO7X|9yIfUmkZE=NaM+H*`5}d?l*YpIX73O^!NReyy!rxg8l2Id
z&%WvPN*xrLZ2$Z`{d$^$WO9@63;GZv>@BZ<y2oXC!@@h{g*Ru^`>g@>v)|^r<z&BX
z|K8j7;}+M(Uc`?qs~Un3vL<h#Y|sy<U8~txvzE=_@ME4Z|DCV;*Z#jT?pH^|n8JIU
zoMhGFn!`9JWJK?FLm0TJ_)!bHc;1hI@{UNiM!n_j`oT$VZIF}rsBG>qtVuntRuxe~
zozIn7sBE%&i!}QaWnJ3>s~2DA<cRZ$l{MS4cm<qDDvOiWA1|pc9TKbbTk@h;HR8NP
z-hrm8Ss#A(p|AP0z_hXQtrfVYO%*i@#r-}g7>YldpKd>Vb^ws+*rj<)b5wl>LjuPS
z#A(OgS*GUGoVL3@{*-nG-5j0K0a-?-e1m$)y|)6x6qxj8@b>_u@~+vxj)%RCT$hOx
z{faE3w_FK7+j&OE!{X!>Gg*z3mK<T4si7MhmFGIEN)M`;Jd#zT=>p|BG54R!UYE5C
zIhpcqG^RAXw8i@rp#w{d+_X|}$maeG7hEAE<+|D+>*-!UZI45_fq@Z@mcp(vTV$9D
z6jV-^c6!BV__4)DaFl!Pw4U9O9jvwfb}LV?van5Py3@p^#jBI1E#{54zCXKst6NWJ
zuy&-p^;|=*YcdsS`onppf&)sLJ6tu2x)ur9n(E7th<U=XkP6+>&+5D<Lzcz{2!*sQ
zXWQ$QB_<IeaHiC5y3NcgKKIbk^gVZm5iRZ+!qWE;z}167ZteE>3*QcqknBMykIn62
z`#rZ3;xjagYZ`y#L^kU$cli-@Wrk|Y!u7)uo&5knTkn+_VW?KfDlZRa=Wmk1RWfp3
zW8N!*we^pJLwMjeD_DEu?xfd;_83DFY1vR4zbL9fL5=V^fce*DTVr-dww^{Oa;MYe
z8^2-E@*0!To1v|DjlEVVxb4krJG;>$V$4%F_Pa;Jo!{qmy~y7w=Ep>AW@z5@)Qwpg
z&H3K#eT2lxR7YWr9ZWX1=W{quS{cQOhAXnP(2!Tp?v6N0+kMW-EPOTVpv)Gd*!+Xp
zfm_+sBK-Yr(0PBYNtC#mxqsRXofWf%vcyz29n|~rZTyVLC;7Sanf!F1oZ40O3{-3D
zw?6>Op42z-_ZLswcDrD+c*{X6xA#y4Z!^*nF3*TuP+BT59oXT<Z%T8Qd#}{~k$(v4
z;e~P=VK!6yxgBoZh7WHiA@xlyWNivpuY#v%cw#^-Fha0td5W8@&9{TutdXAX{;Mig
z>h6woefY}36tUkb^hxqV|JhQUBP!2W6h1qX<haT<=4?rdMtA`#(9Fd59eYBSBsFov
zfRa3HZumL*eRx<A#FO7@pweBZ^T)$rkz(}$B-<O@>-4mlTouytflo=`w8O!48zBpK
zE#nww6`8is^>+1YZIR3yQJ+YKw0(uZtvg=+YN<h6nW&wPveFgy@^crAtFo`RS}-j?
z#J(E&T{UUj>Qg9LOOh*}ElH+d^_Ezn{+AsySG{QMI3Qmv<IB#%q3#`3er3ag`NK#U
z`IPHZs98{<;`Tg12uR&HNsYy8S}+S`H<=~_yMCWC|9r-4#NXXW>%5i49k(UoJ=)bh
z!kQ;{MkB@M&&cUQJ3F@VZnaJR1Rq_&@Y65v;#rJSMZ#a%@yB$2Dh=5(UG7nqPuwDv
zglySQKV_DE;Bf$Q!deTs)ZslQH!XH$;}2}%RbP6TOI(k=y^rb7g*I9jeu8xC|M5k%
z@6T9^hMddHT%wk5Gv$rO<WT7b#DctOSG}SZRILzrq#XF6PEkMHp|xuav#Yfe^<{*{
zqPX9GlCc5-XUVZrEBhTx&5?zi9s0TGXFbiMgRQ)~Pw@se$+w*}oVgJ{P)KgIWZ5^;
zUJqQk3O8v;yh|l;SYuT-?Kh3r%xEUJ{uX)o+5Qv`m%%XNkDT{*?~>hAnxUR#{pHWg
zl5!tGkoDeO9vfkJS8Q$TayAu9nvkh)>C;q)!h5a8#jf)YhBY17)GlXeM07&b%42;k
z>X>el(($AweJ9kXMLqkZlN7|6{DQRgUmaQ}^PtljJyo~KOI7RXNME>OHiq~u)`5l_
zN^Y*fCa&JvIdEqR&*7M5#i{XTFQAES=~W4b-VZp*t%BF%{B<7Wu}a|v4pO;&KJ=uw
zTh*P!yn8g_sd(~N7xZO{eSB)_cczZt(JK<#I_amQ_jHdNpt00S&`t3)r-UPwG>lCA
z6fslvm}M5S9nMTMk6WxC9Fme|>kMG%^0Hp|MxLoeq-aii^kij1=zt}z&qQ-b<o{25
zUmg$T{=P49g!8G$(h+gWh_NM03`L@thHN#mc7{SIj5S%ZbQmRB%AR#B#blf8O4hQI
zC0mxrzD7iT_Y<Ad>-+ir{rlth`uanf<(X%m=e^wbbzj$YOD%wZhOc#RDC)xSZ5&OV
zx<3=UQ7<B6SCF?XF3((|gyCz|6!Tk<Haaf0_}4zTOQo*%L`0r$Y?G+c3;Mn`0S4;^
zXMrWeIJX(|j^Tmm@F`#n6fo=QO{FIXJFp)I6eDP=a4k^u_VQ;I{P;RJ&Bpl9AKl`=
zXtV1T1;XQKI29Ee-6vKk_3;8wK70VgQ~5S%3P_Yee2xmG@;9_*1eC4D3aQezA3DGg
z>{SY^^S<b5w&n5)U}0z59+I)KW53YA9~kee#^&UO-$gf`gScBY077pGDpEqO)xZV&
zz_DAQ(oYMoH*)1cJu|=-N+G!!rWNIk*xF>M#IW@0O}}$1qw_8$PhBYlmm(3nT|No)
zOqX8Nx^2pX!{Mp%8yi}Q!Z3RimK2bdJ`EMgm3xaRtLVc0qu)#6YqM-!wx<9?zkYPp
zjm$UJ6gTyOJlwm`5VL(l`8;zX7<TCAAspdSE^X?^=-2yUEhwS_>Gqa@afVq2hy1w<
zv%<RM`#qo{c<ptJ_~_{q;KKH3MuAPFvuKOn-2j9pdrc88q=mfO`6--fzNK~-)iu~S
zB-la+GW2h$!(2JB51UlDMbGIeTPf(}D_4s-PM;_%;q-1usLF$Rdz#P-HPGp#uQ2(K
zZLAFdTG2&?sIe&Y5Fycj9g%5P$)Mg_^=Wqb4^I|mh|ORLUxr0ALngbG`>7E|iNT#i
zj(5%nb6X+Z@WMA+7TWCF7nX)2evct_A7PujIat2=vBK#zy0b1Lc@l^}r<hMwjRYJG
zJ`Uak($Gz@@wIIg2h9ew1h{J*GwT*>{AlSdNDHnaJ-2f-s`qcQMd~cXK{_c$Foas2
zQGLIssf$UKY9Kc+^iw_BwZbe`$Tx3>4m2@-3#DcTya=aMy<#uS>%Rc(msxSH@k4V<
zfLEgYV7Tp)3F(_J+b|R6X(Z>urO%R!5NIFXc-bV+ez?`0fhI7?I;e&^Uo>pjM0l`X
zghW0*hB-F?_O2Xra}+lQDD*(HLNnx;M32LYJ{(49e0J=!gW3uYBf7lyy~~GN-AOT>
zyM0kg94I4c;WImH^Y?xJN49Ug_wOmy_s)cgm$8m|Zf&|WKYd?GMe5=$OO}6@<oP;i
zhSMaf4j@9~netRW%nUx?Ke9FbomFPK?+{4x#tn|AnI(30!hrBoOv79S2&-A(;bfr)
z<byI2C)AEr!_9{R&+e`4ruunhme!`)5ZL<OZorPt(i^UF;MOrG5Aw1JL=ufIE;yQi
zzeBee_8qo4uunPv#Rg~?B%z4%6nagh&5UJfRt6?WbPC1aEN}HRWu8T9!n(=l{?k0j
zc=6*ye~!-DwkX5qWPU}b8_3~jlAIq%w6Y!~a#?>lobf_CH)Hn_w5&Dj%r>6FQe#1X
z5ie4Q4^1lWt^nbW47DXk_la#>Oca};>_pka%Yw>`(WH?|b}^%F=K~L)usT*UtAaB$
zYPOaxL@|9nRJVn$h)=KMjQS@o24!d_a(yJQZ<v8S+-?#|FWJo*-@H)nX^T#^H-Nj4
z?XKT%h&Tgh*S?o<<{-7?Aji+ahKP-kgb0E5ZP)f5IgDxU*jxvZk)sC%bhy{SJ&oFJ
zk(BzT6mL?6m(#{gu;tI&%2MboVe6(#b(?@}ygSLW_%yt_iNj_CSmkD(BF4#PqHKwU
z2oFmjZrn|3;MqatM@Li%w?!Iz7>1;qc^!XWy8XPbhGG+MfgLTY2M0MzX7g=63SYs$
zTXupghpEs+qxE0WPaq)}aOT=K3?kYBp72da<}#>&G{DN7<b3hIYEsFWwN%x+Xu2U>
zlAZ&lI0NY4l0(e;5h@DcOYn;EWuSs{pu#cYg-|<zcYaOpOFtX&=4&z0e6<G+NHmz+
z#XyMD^Q8>j>3V0@+bY)~iSF4OHu*auZ>`b0FH~h+s^v20n*MAJ1p1$_4Q)hKVYZ?7
zjja#Co%GwJN;%X%k&+SwY_aJQnjsP=dYHdPTy0C&K8m;J=TSuE(9OtlJqW!DvT55e
zfs>#yx|HKT>L`}(>bvx9-Nl4I5FLoG&qtayR`MQFa$cB}G6HNUW%ev|NjIWD9Phbq
z1wzVZl}%*QH<iM2$kOZBh_sled=sarlt6FCYFPHaVi}WKNe9+a&DW7uaqC8Zf|ZJ|
z8@Rifc^+mLKzfzcG@hv%0b9&G`qQz{Vpda<P!-^(Xo_icM@g2GWW0!gJ$<04n0^0E
z>ABvE^F#*p@PU+Wouus6XzM+<=b|{56inzn^t6nKZ0y39@4Gb#1^`I@X~L`;gAW&7
z!bN%B+MyQR%AxS>@QFekOoH+xA8?pv>Y72(p<%c>=s>Q%32T9t_+{*IM~*;2lhQ)O
zBCaw>#qvzjVItV=GhS#3(U&((os7ke4R7f=$<l{-{mvy-_xm3w_`B$y3F(p}@9t)Z
z2JH(7b>BuJb#Bnl)=RHc-PX9EGOkFeRjdA@8_0}_2ZPXP(YElqNWOT96M{~u@OfHy
z_oD^{iq)##MhI)bhTI5hg~u<BuqfLMJ@`uN%?k=|J6qk~LvYaf$zKj+mq)2W-|K`J
z9bnmW#_jDYu*P?deD!EVpU{TwB`iDlR5`XwF2EH4E3MeL&qr7$WalEL*HmDhq&!0k
z;RCxNcYVhQiLj$hP+Fm$Nfjtw9RfB>?mZpHjunQHDgv+dD(I32cQ(UUhkmY(H2iVJ
zf=|IFNai)ap{o;FXYuCTK-tWc2Ak7<sE92!c4irBct$j+`0BAA-W5`TxD8*284z!L
zs7z2!mxmnTN)CPx+N_r|i__z)vBNXYq9%b)>ov_ghCNVu!4Q2%#71l6_?z^CS?o0s
z%0GTFz6N4g8`=>F-E9}2nY$!3<@@cYnIPISeNdMZL@};RzJKTRR34lu(z{+lHN23D
zv?DMxAwJKQD}UQ5w}*0Y3UskDFd=Z=M00>Wifi?&@H87bcdNi-qI$Z&<fQ0c0|om1
zxu^E3r`p6?kj@L#Ol)rlYxKW-bykBx_qkJDE41`Xk+8x=Lweam*9{{t5@=4{^baSe
zQ)h#kC{Uu55gmAqOx#%=O@P0ok<~nBB-0ebVG#Qjko}T!e4;WvGP<L|U#AmcY&?fz
zj@W=MYcmuZjcRSdNnJoU=PR$0jLwlB@bqW|O_v$v%cplwR=>D&nSxyACOm3!Iol{|
zq#5a%<>sLAh3g54O^6VxUhmP$x`33!4x9np$SDuHjpaf2`aC$5^c<kah~hBmMn$;@
zeEHyECG6R6rEU%Ml?SWvOE^!oRZD7W69Pz&6u`Y~42+qiA^0sYu7c>zmRU&dVa)JD
zoT|+(J|1>agO0Aqm@crF8|MnD3Fetv%LD3xGy*<VQK51c1<zP?SO=@h)Z%+E43NWL
z>?T+bg^K_=g);``4F9NHuKj@U9)bwX#B~UDuft4>AJkoFf{u#y!St}umajnx#m3$b
z##TEAlby*^K;^A;L}Nxm^xoCDkzLIRv0$eGKOv@c;;K882fnFGSqAUL%rEdeJ-f^)
za7^?u4A^lTaJdM#6-3J~a6VL64A98z@YzCY2AciY@1po@qmQ+`7{~NAFg89)g<INi
z`WA3%8(?CDKB^VH469+JwIQ$q8i0Kj8M?X4TSW-up=I$C7hrgsA><M0z_&Zkb%7v%
z?;HrO2Epm*L-*6HD|zJcW<=hVZ5t?PKKkXLNi%!s=Wb=Q<Qla!jMHQ!(B0NFH8pA_
z96(@BHm?sI1GfvR`jbBq$1_o#RNB2cHJU?kIj_mw?E5^K>j4>66j+D32Ny-z^$|XO
z!B|7-0qP>*$C~kA4Wi&?MAM_%MS@HtwKQxAQmI>J2l|`u37%_}UW8@a5!E601tv)L
zRC4HS+m+%fJjrc2LJe+EqJ)VAl`ua4)xiG+_$u5~bV2w=A8VV(+$btl`Xp1xG-JZY
zX=%od{AP3F0EHp|+43sV|N4H(>G4b4!`xfRr|{IbV{YVx(&1&jzMt#I1LdFgv!Rnf
zw<`#mi{puenEQ}!=$Qb_W%2>kWvHipKp+~Hz!#H?+5B9h0WQwj%V+zeIuhTi^E4sO
zJ(0Y(YJ+(MbOHaWFR%p)!5GMCagc&3nPeE3P&b)SnG*)9&_6f|Xeo_gIMRH{?u=Pd
zv8Ofe%Wy%u7o5KRO!CU>9yx^%#82!z2P{}KNX8k3_n2g_tsm?uak*tEk_4d!OF!59
z{(P`SU)e+){C1zB;vc1gTCPLVO`tv4ur#L{3c*S+1ybKW7PY2)83HJ!HhlUWqPNu+
zREC*wNL!Eq3;A`Rn`Zk#&{iTs?wU?n^98zQPq?`0K*~`{WUa6aDFT20al==1?>L`w
z4gu26MnuVJSAwZA1;9?`jGk(qPu+?eMc?c>5_Cl9z1{eax87IaoEg*0N<X9w;}MnW
zxnNs2iRNVcV|Ql%OdEfDx#x5<n;$+lKGS_CxK%-a{`!-aKbirAuo5avYmd7e?}Yza
zfm4#0I9DG5RJ4~oMQ@PGi1Suc#?d=c27aHX1>8YSNr!FOZ?QU$OA4lHV#qx$QOq<B
zNy=x@T#5X75T?Wc_q6|uBwB45xQp)J%kjf+pae3E`3$+k1B*0ur%~KBo5ZGvXE^4B
zv$gI#x(TD+9Lg6%li|<l_B*8^o*QPKxCe1y1@o}mxj~{f66(F<CEd!5y#CDRSM<Bf
z++PZx0dkPX;1X1~Q%5xrWj+p|^CMKGIWE=vtn1L8H0Ze=1u*YA1Q+KrwGx#-l-^V<
zB^*X^)X0lvcBklu@OLIGzTx&G9ZW9_#N$qx*X>7WV8SgUV}H9*T(ixF{N-r)qDr%y
z(bPX2?`Zs;BPu@TR!Z34NJ&pW=lO_tEQ(cvEN(~@L4DhfD!kSHA*O`rHTlVlhTj4k
z`HxlpP&pYyxXN;{{TVZ>z2B7Y^j|OuBq7;$sn^7vX$Pd>jAsyL4|D}v3mu>~gxDZC
zt|(LDFpDM(?WK)4kQloQ(6~C0mZyMfWM}&fmJ*A!*QKF#5)RcQ_A#LBNlm0f`wePL
ziKN7t{?pBvDG@y9Dqn3DB%x%byR>U!R4rB_aEDKo1kfsFrtc34!<eKgzxJWm0IeoO
z5uRFiRbV_kMEo48R;A;S{y~3i7H`Tf)*aP=^-`haF+=J%LkfR0*wsXu*NYSPldiDK
zyT`cz4nrw|Yu^ZA58-yh#)-L4=MjviH-JKuf<00z!*1L6;xAuyX^I;-)P-0sDHO*u
z#0l4_tX+#2;y@o96M0c&R=bx;X`Ak!vWrP|d&8ws%Y@ysC=|`aj%NFu)A3p=PIc;g
z*|m2ZF@8WUSbSBh0nq9}%L=`eVX#Y=ikb#?fwQeUuorZ4fwPBB#YUV!0woIlOk2X4
z-GCD!RO4*(ESOuZ1z7+s3PiEWog=&3v_fQVcu;*oSJr7`7T^_&u6O3#Cs7P3L{<tf
zq`Ym2wU%+O<GwY>LQ>4VfWU;_#&W<E^F9D{6;UUyk$Q@VY0tif;KzsfDBoZPoCM~N
z^u$}?l~xJH8({H!9dI+2USwkiKW(Wnku|HmNysV>WKkKwfU>9D!6GGR{5$OXcN9%L
zqgR<&O(!r^VD5xZ@AKXeJv6=-#^8e@G*fi_l0wE~&2dtmtgqmAP1RDp3Qv!&6#z(3
z9*8Oje)b3cyV7Fg*y0#7&mf(ltn&CI)mCqz^r$!cKe*_mE)`Z2rxB`6*aWb>$D#s~
z>DXxME@ocNn*2b{9xw^N+D)}J>{|IzlDdg<ZH$xeD%b=+2+8{JbP1hm4zL)!5;mKE
z+;rg$%t)RbV;(d_sg?*Jl~T)rG_0?2shj>#@XWdw%Br@*f;1`05NF_EEE@NM4EA;S
z^hLOM4G32u#}=@;F(4IFEJTpbFG|hCR#ncP$m*!)Cp|Y@!?F=<vrC4Dljmu|NM;y8
z*5Wm#G<<N3kHjH*1MutX(4%U2eE{0)%@l3Hr1*OK`G(9~L>SO%BY`(`&PLwuqjwSH
zXvj2Mq^LZwMIT;<dP|feP>ZFB0PLV_;?MgFfjR1vMYnjp3u$fw?3Q-e_Zva@Sj2e-
z@ri?bv3-UAMG9#6F9B$G^!q0G^Huc?VR^z3yKvp}wR$dF@rqvMLI6EjCngjNqwn%}
zjtB&CiU+%y=JQV0L{B*O-RR1m!H5G&AF&XaNwYr)aDoylY-~c4&4WN%%eF<YAU+f|
zcRqg6Z^|hI+=;4x<^<}-{prDqif4yzV~*_;zmi*}M=?1?C}BMqQTO>+l#F(*Evzs?
z7YsD{tJ$IT-aO86Wm15NrXDdSDx!kc+nTCof_AND0r~$4;mgkhy2*rdCe;Tvv|e8C
z?~>~W+0huV1W!z;<y-`i!q{vPILrr^%*sF_9zU|+y=yn_#HU)hJt+Uopmo^DXV!`k
zb0v?)lcTk6l-NE1i{Q*{$YxA5QL@wr;ES9^V5NM;5or+{X57Q%Zq=nDny@-aBWY0m
z#Wt(>4807UY+LZ%Nmlm<EAg6eQNzwJC&j8~(RABzs&_}iPlkzi3I=%9r#SKJsq_|D
z6>XPiI0wjz&&_<#GWYG{sB`CeiI@VB&3(bLxBF%fR<_QOo{4RK8e0ssBw&bJ<iX@D
zJnRK^8>o212Tn=Q@SWt^DrGwLwZNkJ@Dk9|3aRc+y!)&M%gd0WlW}jv{xm<Y3K&P%
znQ^WtK{m8r9e-HY!8PdHR~4?m3aQC;9IKfctoyb}h$RYlj`2w8Kyx1^7VwSc_b4J1
zNv?ynU-{~pdPW3^>}0dzl5<EAGAgvIl5z6IuXX?mDU@A%*=7+o!rG$0X%=IUQhhA+
z3d)`-Zh}U=y?1#}s+}Kg@yH6Lf0G4?0&y$0t6e``unG(#Cb3jSpr$~?dFQ}qiHMCz
z{78h!6u1`7eSjX`j*>Sz1P34H0VvR1tDQCv8CA6TTMBVMJu^o>ahFN;fAmImRfQw=
zM}=)*<|5jip2KpI-PN6ZejgP2h?2Jk6d--bE#zfTT3ISSjabf*-OL+@AQ37Ph(mh4
zK*)K5rB`aj1WX^VLx@#=_-xlT_FXOAGi)jIm&h=i$iU4WC=l(W)eF=CP`Y_(2uL^*
z5Tn_Cq{SnBh-p{0gLuBJf5=4MDT|Y641j_qd$xefVH#ZVjP8`E9XDv}R9<`I607=R
zi@h#_5@d1?Emv10sKq=7F0r&rpt1S1-iM?ipfQjyl$8n#Hk87)%ug=M0aZvB7R)8c
zC~B5nG4bF<kRQbL45C=X>xgbvl%_D_qXtA3(@CD9nVqg5yC98k0B0d{#AYF22Jmkg
zm{bAl?#17Q*EH1anrP*~Od}`ovfLV&!88D$wGn(pMy|MCg(`*s4<QIlWV#*a2KqVL
z>qNCL^BjH?woB6L{&T&IP@a-l_203Jh*?7e)Y6i_-wb3$;eKp4PN&77GJ^km9=2R=
zk>jE2wW84wF}WU=MDb2;AjWoPn$DM4ggve!rW@gRPScpnu$v<6JsbdAMydy-z6-4x
zZOzrfwr5K*gZhQk0RfzvW!DXhRyxYJe0`*`gp7T=dVh)Z3f#MDm#$$*HL5u-wwZw$
z%o72MV2<fXKs%U#{UA#{^wI>YN?Ryzk7L8z<w8hD?yY(3Ri-~(I&92NW7}U`@Sr-m
zzIn;SB!3GVe#s$Ysa(0*l<n9jM}@M_rMJP;!S=2~{~K47%x>>?z#B)Rnb*L9X1e=v
zuahN!2UH~$u&dZB@Fwlumn&UeU}#%efON_w1N=M&)?W1st6<J&HNFe3$EaI_-u$r&
zb!3IULF77lGj>j2wiP-Z$l!-$-M}AdX3&}-r2LGKigX%kV@}$RF3b=85?ug{9s^s0
ztFwMv(o5LjK2)1yom*)e5a53F3M%>YYDa;v3S%zzbMw8~L4&KAs`f+mG@5YH{<e+@
zz6dL)O|3ZlIoKd$G!&3t14z*R7iS>)5gCS^b4<FsE8t`}nU<+`A3TNbi0E-WowQK-
z@P<tPipl+HBgxejlPb^l#$lD(2>PgA^k0|NWqaEG;89xFwGRMQ#cMHgwpOB#D0d1i
zYw^vDJ$@Y1*7sYKm%&E!gJzR~T{bP!S<U`bJnOl*`V>vrI9@WB#39w(7)!+5BpRW1
zpRQmnl=8G(pcWsyvC;Nj4oPTBp@nbu>|lKY{UoSq>}<W@X4^8{M6Dy{dem=u!7okH
zNW$rcMT8&-MHfHL3A%M!zjnvyj%%@hoky?R0rK2CTB1*2MoGtl|Lcm8-a;w@e2kE1
zurEB26dTr6+t5(}IG#EgpF{jrz@+tLv!4p8t^>+x;CI>K{HoJJrxwNLJ~4=9T7l|m
z6f9ERvX@j9mZMrN{-E*EVo{)sDjK^Zv}wZtEq_Z#<F@WB_rvTct;#j1l}>MJz#@c$
zop;6wr+#yxrR*96!^xhe_Ems~UK@6T2@(TUmtrcwQO(ZZz|(~g^i9OLxMP6R`n%FX
z8%R=TWGU7Zl7*G&B?WcGuqSL@LL7^vH?S_8K6Lg0w_IC|9+xDW*~F$!sROhf>G5;x
zZ<f!fQ^_QRZJcIUK%^s0t+HYAm*}uLX#{@pHIIRJLBq%TP18egvZ$iTyi6Yhko4u!
zqx6>lbTpYbDCFEVeomEm6S(0-$fqKa${93k>bl85Q{kA^%Kaj2%oG9w+Yu&qM!i-6
zV_&ul9-zrvDL0@GmlE@1Vz?1p0n!^Q;yn8yw`vVoWb>A|(RK;n+#4TSPiyCBRr`@7
z5dxyw!DH3I3v8V4%qOIpQ)FAOd{psjZ{ZFZI9Y8<QeTe8R4n?`I6Rnuy`AWBF(;8J
z%^0v4=UKIH<jt0Gb>flrm<OalD@~p8IHuDR-0!jyxVEDn2adI_pK9AWGXphpwih<Q
z$yo=fE7+b0;5D!#tD2+fLadbgE1Z6>40Fs^GEskwmF=k1Jtk^?=|oOmZwW_RhFMto
z##iW#GGh??G$Y(kk~oIzwb!k0*ED#MAx=|Ahb6Zs5k2S=M=w^WyP}hlXG0D8W~9t&
ze*gCAN$6I7GxoU}yJ%%srMqa`zO*V2r^S`Cj24)~NP#p8flg%3=&MIHEojxdkVM(M
z<bd&|pOB(pF|LKGsB#cP7pYXEN{cHjxKO^6uIXO`Sr5gQL(PN;_IYXMgEXV2Fm(z<
zozn<1npgrNAeq6Ru<XM>qN!#z2``NkEFQ-veFd{H<H7cgyXE1fQDRaT6V09bpJK-4
z!w;sV$WjQ#t?8CwU42Tq#~J==K;oqgom87$=~@hK+QZ2tiqM}r^_4@BtBd69Ww3!F
zZ{GP#<k76g07cRis@0C-CtYTZV!G!<R8k`=FB&D<|7bFq^O1;7myIOtgLx}RD5()=
zXPZa=_Nd*uqcnsmdJI2tqS+BxJs*4s>xa~2%bJ^3Kd5`%ddqy<c%3^VAbnOfcDxr<
zo6|dYF!ZPcYDW`9!+)2R@luBpqre%d8y$6GDhQvaUQf<x>oQ)SQhg7~%(*;II-)Rp
zcy5UvyySCMMhL)h<HAh;a+7|;5rCTN!mCywUGGitw5T1ilp+g0((d28`8}8uXdga(
z^qfXlb<~ZE-+L6P1hU@sM10X+^88Uiqo|9(hhkN8ZK*+1?xYeV4Z#{jK=9F%;>+ha
zD|qt{34&j}0Cv7ZLN{>_s*e9H^p1V}qLwyfEB%#sC@buhF_Xqf6p>}I@ERn9(EvRk
zn|5>bO6z)_(ufmsPT%_$7RnssLSLP~(!f~n4F^fD;W4`5%my#}``duMHXzXx`tW;5
z1ADXj1Kq@Lk>s9;o8IIC$zKaG;vloP>3JTf@F;Nq{%CLDe*o439)!k6?myFI1U29a
zTcl3jH6j>qSnQawc?jqESaS)7-nas!i7-vDKd`P{2JxEY`;u+AAY|@Zjj8tbmef`^
zP<=qBj9KY&i}E)_pNF*U2E<spoKrs2+lSSh^~!#}_x%;`cbPEjy@6Ext@GAlPz0;2
z&H?kL58-AwhkC%tG{81LGgSn8p-stE@Hn&*I5cr^A`%SP-}ga`Mm-yi(fLhX4E)@)
zCI-q%<X}}?GB<ssV12J(#O`R85R0*~Q$ffN^TFkVSWTp*AP$thw5Tm)B?O=GR-|K_
z^PPof`Z)w@$r?l}?PR+!%pW%%-G<$}5oF^Zr(DA4)6DS?cmhTCgn)-~s)QCrwK}mf
zBcu*U*0xE$B&;9rZg!)#qJ*Ri>whRBOI1nNORM%8bK&X?w9g{A3x3F6k$0KBzb4^$
z2b!1u#q0##TTpJfPt~$_S;W2i^ZZ++5A#a219<-T$X50Y$)4oObD|{YC=T$yLu5ww
zC;LDG%!%KXX}NkE!iT)o#&rtQc}SNO$+fbeFq@V(W^}J_$-E?-=R9LjQh~-SLq%cj
zyD_R)h<f44C~l1J`@<T$>I-PPTxeM0TWbL@%*rWH?p+^v7c)kS)Uplts1i+)E}99%
zB}AkK{<t!LHK?|o?yWn7{*8`5EV~OzO1ahHaD*B8!`j+4V3}FP(SXB8KSL^CGhgh1
z$T0?p*#jX>Zdtp8&E5-NW6yX#7F)uR${-6eJ7fq32d`3spcd4-*{Tpe7RI(!qrCc`
zbwgx1S+wEZ9zTn|v<!Q>WkV+8wijsNQq*k%aD0Snm1s$J<e^(Us-ayDR(3KyXBjhL
zjBLIhW-#!+0(!F;?<7?>kR23h=<G?$#tj86e?l_*wbxM6XaH^fjD$Y$F;y0mIR3oR
zdIv6ot@2rrlOOeTf#1$&p63}xmgl~P-TgY}`eZj^X-92Oqxy?0>m>#w+-H7zr#-rr
z5llB^OZ;e+OrZMvR0EV%M9~eC3ePf-jNWQM43Qu0$vC2J;Fp!{frO~we0l<~#EadY
zf_FbcQ1x<T0ST+9w+21u-AQTE0?$5%aM)YhK-J*BIvxq#{aKa`q<-^bm2%qbqWy-{
z964mQ?*3^J`uD)!zzZlWRu&#Q(z^*pA=ja$^>v`?t{8RL@7a{QQXTGiD>YJ?u?DlR
zGVJb`yr!x^Xct@)Pw7#jPw)8Cr1o6k5um9A$X;|5(d)obuH;mMKGS^UI6E=%owRpp
z0*LNp)2+j@FOYaD=N?EqTQ{^zX8>U1+}AEG#G=Xxj=+{?A@j1TBPpR{i0&rr$uf7e
zqLxndtQEq50PBS<?u~NRLrzcAe9ob%2@6=p#6YpDLr-c*z)JYAaCVg(z0|UCEua|b
zUD(TUNXsVeAj(*Rf#vrl6S?*~kF&3lj$Tr`{B&WyIbh84?Gy1^<IfyVwR?mRi2a<q
zl#XPd2|IR?O5B5W*e9;=-1_0zeZaMC$M?eh8H+xv&CRN*s(`GZGPfE4pJ_xk2QR=s
zI2TrT8=HQK)`TwBL<pyQzuoC?KT<Xxb(vyfJ3i|;d!w(zJ@cE-ysIpK)WojaVr5NH
zk`~br@C|y#Lu%<f{|%#wK9{s$w1k4lPzulpNzl90EqR#DY>(4A=bw=2760nPO3qrx
ztVKoID^=Koytk|qg5y}tKCgcw)AD0ubt=P~vh+|)yOc!2Q(m~tnYj03kpAlq{UUnl
zS~U;rZ}V^+`+`}%{jnk-kacgkUMw%uwJL1jLCi}w-EcweBgu+KX>xtD)k%jO6(gT?
z%^+I<(qM+Ax5LT}*aQMSQZDm=-Eeb{hw+G4W2>d}E4a)qsR@QLv!7sK;a)N+@*=Za
zOi0GnKV_kbI$yuF-nMBh!;yfGO?TB^U|kwn_$$7CD>iTpyBvjmKWL^ezx^F^d3I`s
zN|*o2`N<)2VZ4V}@~ZrO^$MuBXVj2BlQa`P1=~ewzTVch9WLnhF_f|q$unqE0R`6O
z-zj1vPlew92jSa(rNc6igrZ@o?<(+sypvmQ`(fm_+KGSip6v(gT7gQ`0EawEg<Y>5
zbm@UdcTNy_f%;|Ho{PUaYS8eVvK=fxHM|95!vf(8K$&TDy$1xuk(K^eJbyXk`Wn+4
z+bh%dC(-CbjJf2*4{4(X*!DFb?R$5Ayx9aJNym1$a@&uEL;+9728u}`lRxZvwjcGr
z6ZAj6>zxcdB|ZwUH8~K%$Ps=X5z2o@{B^%n{ri9TtIZJHZ#5u*X#iK+>u?S>Vnw5@
zx`oFt{BWw-el1_b*JnFIrkyuWfd?h`4<niF2h@o4x@G^K{LZU>{xkpg|2V^+Pr$!_
z`22tL9N#lGL9JH>GjMf;dVXdC$d?Vd^KEr*wP43SkWcp~mEJtUhrYj^2QtD7_2s`@
z74Kz1wxNGtF44X{YH~>!Z@|_B3BAytO_!?p%RBgrVyEcxgO#?OduV8Kf0pExI)%Vn
zs;a_e=0ilT$FHNW{*%$Mk4ERW4-zu*lg5*)3DNkG?_iaAGY{Of!)Jba9w9GO+ncqo
z1#>sHbEi~kj@g+!-p_S&&FcfacxCNgA+9Duy*r(*e;hu9+kiL0iB>M_==P`8IsUW2
zr9lyj41z9}UVz<i0Ot_S@|T%R<91<+HvcqVZ0A19?S8m4N-~K%SZ5s;>KG2T5VnV{
zAs7RM*t)qp0@xoP#J7;YS7~ZjzSyhg_3f|jjl;wI-_4*?wo~^DBn$0xVnpf_Q|<tR
z9!FurkE1R;mQp3LNg(jwPR(HZaFR@CKU+gUcO5nyq-5b7=dC-@mZ|~C^$cd`18kHN
zw^xS{@t~jO8sy#H)2felo@lg;*q%JOk1;;!k^vlEKMueB%X{PQk?pI?*UK)O&>6k`
z@D*G;FTj8?NbS85XtIwc`+vQeZV7M=$p90NLE-adBWn9ix$Hj|+49_5gQxSrver;)
z7$gt5TfhDCkx@Txf@NzGRaONwkTVtAM_%0h^XA?`hV*stiCwAq<!yYM>@eKfMD$y}
zZx41p#ebm5UtYHTr_w#a$Vs06dU)pnZ^fSj;=f-}xBq{i`|qm)eaHUyy8PcR%m4H1
day)8iYZqBbmWhthJq$S`byZE3Y~`yy{|BPtaF751

literal 0
HcmV?d00001

diff --git a/docs/figures/mixture_properties_posf10264_posf10325_posf10289.png b/docs/figures/mixture_properties_posf10264_posf10325_posf10289.png
new file mode 100644
index 0000000000000000000000000000000000000000..b919f21df59ef0f2d46ee91427ce2b2acddcdb1d
GIT binary patch
literal 582758
zcmeFZhd<W)|37|Jr=>KMGBdhFh>$(&BqXbh>@pHAWbbi`%HCvzgX|HqMT5&KLRQwv
zWn^b>evju>Ip=(C=l%N&zSr$`>fGYGuIKAH9*_Iue!oAS-iq>4q$E@%7z~C~M*8Ya
z42JR`2D8uQz&`XZ<SM7&FCiPr+cvi>?%CMiwKBxW-L-juv#`M#>(Sd8T3H)gnDcOO
zUE~mCr@wDw^T1k&lhbVHH#jV;j5yC-Yg30$Iru<Y-5P`8IE((<<?uq>4zmk`k-2(V
z*&%jvbAPOI`=<C-m3qeY$c){ri3g}&+^&?ty)~a?QvLkYht!{3?h=>kC2w-gOG^=5
zFAuSHg&#R}GS9<jp+9oYy?1?;(41fJvYe;9puBmMU`hAVdOCJKj;H*rv*>b#NtQ;T
zi3*J2zh8p4g35DXEdTlP@C-WkpFe<qtm9%}_+LK@(!X-$fBlTU*3<KU{Y)a@;KBbn
z7Mc@eyZ_f41<zrB`(Hn^x*>hwfBkIe+5daM|D2ouw}SsUEf~!I{}#;*pV)<AEfBOG
zsiwB5n0?=A_T`m#neBw?eL46%MOE2I4u6Zv)sZK;_T7e&_j^n7y!U4CcJ78vpXQ@=
z=(moD34QoQWyzetT|;!8j6eR}*TC$8Zl#FW%3qHtc<$YBSsP2`vL5;HOx)e=bCx;}
z6(5cwTeCReLUAv5nf=U}=fd`Ud5*Z@hVa>THQky{U3c2hb8^>b`r^3_ud{2FTojF9
zS0|guDK~dI>YjAXUvG1<Gcdd83#+SzW}yjrc(AE6aSXC-4-~}Ukk?4>zH&t98@)9g
zF^TY{4?NA)f9yYVyTuTr%<^OCM_}mOmac~}7?1Hci(DQ)qZ(NFi1t5BgEx9V{rNi~
zLet!PG|ri0r0IFN>WR-qW<3IPb!Q2FJWbNuI<)K>uUM}6Q<1-aax}2Jz{p5s#`A>y
zQ-A*clHPHRJUvO5m9I}`n}lbo>w?d=Rk?4>)*8Qlk@t2Vb@g=l%o+C$0$rQG6x*TB
zCHT&?BXQ?zMOXhj#u(JE%n}Ij0DhMr?F(Nig=z7DdEnSuZFavl)Bl=~k(uKIBT<Q3
zzBktTg6rOgXP1s)1s{`ApCaJ>W%men7<6jeUx*9}%B|WGk{28fbJ*To*5BG#RiCh*
z8>*juv*&1X?Y$VYQ}D3nu}<UZN{Wg>g<LQ$j}7Mk3{mulrpqRBzO|()P(4;UC3FAU
z_SPn0EHyrWIo^fauGg~m`tlY#TKu(dN%6luL{p)3`!>ZYt|9FF3lfL(-Um;dtA^h{
zv)pH|+v_;`Ja4L~XT(MXzLMVkz`<QC*JAk0+~yW}nnglWIQG=YZjCnfmRh^72+1Vm
zYL^!o?{Tri2!0(nqgYmRWk0QrB7VSqSH{`S-G8`zwWmqQm@VC>EEzsl@Uc)LfmMet
z^G5u8OnY#%vB$=Ub@VtM7JK7XRF32o!=Zr<jF`o)44;N23(Zc()l%zbQGWB1uaC3j
zKMd7}>chnOKRM&XazuFY<#nDhm`~pv?Q(nwlPqglSOuTWw@+Q><x_(rF%|)B^1>J9
zlnl#@)VjAccPmn^X6^m%cu3`~CrNLpg7g6iuJMlS_0Zf<-(a-Wjb5HQjl0(ryZXL!
zBDbp2m+*#abrN&Eadf}I_Oh<WcwM0cz3vL_{xlPpoLwqPhFdu63&+w(Oov(LM=wg)
z{$))?U$q*WQfBRXIAKsF#WWbckYC)RS<@pUF@L+Kqp)r~+hU+n{pbO8GuRZC3oTMo
zubmbLm#em2mG{Yf+<m2^X>PcYu+XLuxH>;t>vdX(Vl^dSyC-vU`@*iY!!8}WS1P<R
z(#!>?>;HQXB!r!D`u69y&RpHR(X8TrC*x1Gm-o}2>@hDlyJXtI-gn0t?X9=_>8kYu
zMNe^7uINEd&!`(^9zA3GS&7SK<$IT&?}Z9A@?=ThQ?nDg+d@UXR*eg;(g7nMW2D|c
zCQVXGx|U}(-0)1;-uy$HsIb`93W0*xL|J5gvS9Y>6S|zd8DEYv7Sg{2hJt=?7%qg(
zgCYO@Khvhf`5VtJGB_<yYflR9r*nC*Ff$;oQEa{$T08MM{RFL$jdUOkl8+QK1}E8%
znm?z`?G*d%V^TDhSDkdGz7)RJ9ZrD5m)9(|el_rnsNU#v`+xvi;hb5)#qoCEhzpu2
zqi8ZLhr`wIaNLt%=DF^FO3;h%$yCd=iN#(;*eorYgtZI}^8da(8qyTv#qu6}edjlI
zTF2q8$l~W)RR<27zrH-(r~mEKpT^Qx&*|3&_(O2!%J5n2(ByQRj~S@$Hj1a+Ua1vl
z)HM;Btv*309gXuHYfG&q1d5+YjkRjf*z0M~T4>ryA@JZ%uWhHcl46h}+b4LyT5>fl
zrEyCbhR23lX5yj0$CF^9{_4JxADy_^Il1VtGXpO3av!33*<3|Rk2}@)khi2MB|-SN
zTpQg-jXTy?X6tKK)P1f)-ROB8^ZaOYVDW$(ag|m!=9~4WdrR}~ynXnpX&)(7HJ;jn
zM$^31(CLxYoY2nqrHSb{jlEc?8|u;z^mp4_3r}laTb!t!Zx)Z=_ZVwB>l5NB9sA(j
z!Ilcg`LrA3?U|7|<TrGB#?PuhQY*Ok@zo|AodEdls>DXW?Baf*t@-%vq2!rR1u;Q5
zY}B=M?k;%i>DSBsCF2>HtuuS!ixb9={{xUoq<@Uz=j?ai-gJOSq(9k}hc*^IQrC@=
zO)ZDrQn%2g-KXifaP8eEv=RLk6)o4ORqBL8J)a$>xJW-;LI`jm`19*^=Np<XR&Z#S
zCELb340;=T{EggHG|7g7WO|Cs+HCK?2+q3f43SX(39TKAm1zIQ>O3*URBdn01m}kE
z{-IrNw<$v}O;#B!qSLoH+07H@wl?N45@qCrQ|KR1({W@vBD(O&Dwh<Vqwe)XD~dfk
zGwH!Pvb8=FXja_E7k$Z?%z3I%P0MX{c#Jgj#JL+RDiYFqt8>FBGn6c}$|k`Vp{-o~
z^!V9C5mFj~i$b>JVg0v-VapaCIUwUl#mm|xwm!LlpB@^Sz~Xj5sz=7y=JG(GeZM2K
zzH^n^rrztt4mR6unKb-C=GdUT*Y4X}c@DFKb!wVsg(_wHzC-r&LyJ*nGsZ|iB$ZP#
z=%Y7kQ5VEe>gEeW_aI^XM|SZbbDnv<+$s^+y6<6@OzTV|XB7=Z-QQ!an*`BDs(XPw
zoNPbSZ~Pa^hmD^*V+E}f(Ycv#60Qw9e=A=V>Xe_aRYJe>%*U>dO4oIP!KY^%M6L}~
zx+Wzgd^0<1^f8(oo*fren=p7qnXd;|;5P+fovqUejcD%dKSxwis8{1tGL{mf7h_iB
ztsuU6iCG`J3tK)@>5P(=`V?%M0e|zpvf(WAUtf)3#pfF~4tg`k)phlk+t2uYJ;T)U
z=kHH!Ts6-f72kM(z86>AXGhtSBL7??hZwbnrT!VU9MPlu4QwqHbD8&+WG$5&)Q5Dz
z7A3$I_tAPL;%K$-t>tVs-LG%-$Y4;n<}>ZcV(c;boOaxO<vm?KUx$(uZFrv9UvK_E
zE0X0exoQI2G;e|$z?nxzx~k;qUvCF^)E?a13+Z+ATmNfkTwcwovAphkF_HkX67Rl$
ztON^v8=}GoI4PCeTk9wUAEp($6bC@znW(c}o@;ZgAkPv+BMMO`n@i@s0&I(MmUv1o
zgSsHS=I;AR{(}e@i7xl@plwze;dSVA%3C@Bl=ph=2V9NiYW8~3*nGN7Ocg>CS)t)&
zJJnR0z@vSn4P8YL^P~U~z+<_sPetZ@1jN_Q`6YrwJ9=LPcA_WE1&(`6-UZDGEPA|+
ze=Q=nF|0k!gEzbK8ac|V<%OqC%Ej<qSlYm{V+BLL`vdUcK$z&;K$W`)WSEv>i-Aib
z*ii2i%y<ZF<VVF;?nDg~)}C=@N8!Z)$H~I-v}$9R({i@vG)k#%tr5R@*^IR^iJ~*(
zFcd5`h>|Ky=c(?_Cv<KU2vzmMxD9itf6cjv53j@bzx>S5PExHk>926465+O+>|*TE
zb)Mp7U<m&V8`{Tp;KyPm{3}Gyb-T=eBv`nwYx+_0oI7{p*|F`l&Z<EGaa#Hk(&ua^
zI{f2Ao$)1>1Y)w!8x`C5{+`QfsE)<gaekyGerqAsZwk^vKx&*5D@WDFobGR)Cx^c!
z1qQ&Q(nD5!J{v1MQ^E822(89=^xsS2&=|?7(Ai{||Ne-uf$Ila`(7^n9*7|MVrPa4
zaLVhuiZ+*eoY6BT_>lcG$a+6_o-Up3tlHvrTg=oov|Xa&H94suwrVh0*r`L=tPYhv
zWc~|=RHF#Vp1+l1fUAO!YWox#f*``+i%6XY3f7R%uCU1>OH_YNB4(}@B0LRLCm*}|
z;eoOOyP=@)GlPBGu;wtNlmFOq<@;C49{V0MehU;Tm6iTk;McL)j(_%skui^V=El#)
zrpCJosb<|)%GetH5Oo4hs3v~t_alN>d7-i7n~SeM^7T|hVe&k06NNx1PhKm#?!;fk
zS%h@;I;+ge#!}Sj3Lslk_S}O=6Uwa6wDxSM10Iw*Q#G44->mUMvEOt1{%%e57%E}^
ztmNmK9#flBz_OU&mtgzgzqKUEwlBj(A3t=8z0Tp$Qq|UCE{ktLlMq`GOpM<YjKVc)
zZU3(cNf>ll9gd{z3GoPe_;Au<z6-*RUQgB9cxG0h%yb3B$(AbjZNM11E|#Cul-~c>
z5LyAlDdW~*_grtEab50<%$s_qAK+~_^+i(sbA}2VN6B9g{igQpKjK#(${cA7#naCh
zD;`GkJTKd<r$~^pKqXUEsoZYrX8Tn)N0cJtU6;Iv8zWD5R}Q$X*I3rls!iLXt@VE*
zpYi%sF=vtM_~&${X=_-#S%@lzIPuMewzJeBFN0A@(_I9R&|xyKHlO>*ukXeTPxM$+
zLA-~^8|$YI8{mFRqGY-Wqqqx1Xv;6gsWpJoPXR>XoQp*@BUE6OKk_JxZefEXsylwZ
zZWDI}-k-V_(u)sHH{U?U+sNvT$1cjAFU1ygedYGe4du6TbzTcVT}yzR+kCqgfLBa-
z-mg#a7$5$~Kall}Z0=fHid@?ruenQ5_WGIC>~#!NA(IICO)l)!xrR<3ayC6U_hYlG
zqw%$XtMoo4T%P@6np@Kl&c-8VQ9f1V3s{gLn%7h{XAx0I!%#&0`VI`nF%!}bEHx%L
z<huE*j|OmHd~w&;8c&kVLF%h{xc5*Z04jCb6TjY)wr1C7+X-KEO)@h0^b&lN0|c-}
z+Yjmm_Y85ST`%u8;mu$SFl+1Pkk<t!vI_EB)t(F44n91@@f2-6w4zxHKsI8A`2R_x
z4ZR3wQ^P|v;x6L1=&!iC`7vHx{P9t`xIEZE_JO$ZmLw^svs)P|nQkqrPzGAOUR0ed
zXcqhD=)`<9Vy;eqd@fvk<;oR^4`F#`O|gQ4)RDdSTa#sIoG0@vzj~d<U!yitHg6LF
zg5sH&tCM#e&)s*Px><kR2yiKMS)IF`r&ps;x$lk91qrC^ih?xBSIe{ib;4TVl&^)x
zTyi%@J59+wNh*+|sEXFEiy=SVxGe=GY6@{Tm*A<h*ZhwC9mB#j{Hb^|Y$dKszTSEv
z8+i{0uwJJL58=if=Bo-jP>isq7Qn6+*n(Dc+eJO*zL3Q$K3o>$F>3O2>6dnddRu(8
zB2A@nDH9`Rx{DQl$;;=^!;ggzNvJ7*tr7;~Guvz3Y>4XtWZ9O4y%s<dm1p*zl;7{v
z1r3AE&2Jsqn)o7EL_^n|O`EVL%~zQlASJ0;gj2^CY3)1y8ERBz-eBF3nXl{9<(zz7
zcOF43k*Zi3^d;B68UB3q9r@~P6gq$6|E%piDhi+mDS>3mQxp%`ooRYLDNqd3?{I|X
zH4dA}E(rLL(4K{I{mKd+<Ee;v*s41X$sso=C}?nvgPr|DcgYYQwlQI`Q#TL-IcJ&O
z6cvO--gb3v*SmMMgd8+zR)>nm;_EwM2tf)~_IuH$`uVy(2Gv8LMb&0eT@idhl`;c^
zuG^|1z6c^PyA>?Z5z3x(^05>UP8%{~I(LTBa9-W_>M9FlXL2^xlid+xvpANV8Lh{m
z-({hK^L@SaC9^JFy~4rrLlh6QXozi)3`Jcug1WF)<xoa#9XEPzt16$mfwK4eqv91;
zo1-q?y@H^LxJw@#9GeS9V$nhtG7GMbE-pMq>T8Q7l#PiqjRV!9wRYYSq!TJOju@3|
zWYJ3m+wXue7H5uQ;)@l>E&(cghqq(eiPIR5is0UAm$!RQS3__Qo{fdzB?_?p=3r&j
z*4l)h8N^V3t@{u?@I{7=5jBX2fGzN$zU$W<Nwi1cKE!%H!nzk(42T5?jyy|iK&d<)
zcTHOfqG#y7%LZRA3aj}{2&a3`6#!~Wt&L{C{gVEgAI0%U`;P_y)aHj0PkA!>otW!d
z^*gUasAdgjyP)w(Ixs&C3IwO2nDg@yS97KC)%?~G8$+{06GOA>0W)W^fAhi^$bF3F
zbtk(W5x8xJNh5LTzcQ^nRHf_b`D=i%tfwCzrX+J;Ym3(dxJub9W9}jfKt#5E8>+;Z
zyli-|;6vFOg&O*De`jTn{4cnIkAu1Ho2KDM57zIm@$x)*>eL9X7kf3aB)U#~aiTL&
z+pe2Ql%sqyA5})J^g%O~>l_4Yj>?rm8||+sv*Z-2+Q~@N9b7&dC{u8XygN=L?$sd@
z*eCRKCzWk}?H3rSGN)_=yEh#B8U&VRYv}?JpYZy!D<uC$ieon+kDzji5N(=szWo{G
zV3wtQV{i_ya%7!%F&Oy}B}lo0qCI-|iW_jdZ*9cNIa|7(Ry(o!XF>w~5y7FLl@&rD
z;pO`yY)ic;b63KFu*%HN*zdU^!h#h<D4z9ZHVG~5&eVCZraLcBbLmw-&01)OlUxD-
zGEpk<%!_ILjx6<>B7R)gMJtBVS)qdh2s)*Y?+6U^RhP`ZT&jdK&)5SbiW&n0gN&T=
z5r|zrQgp7DRCBZ_6+{=6gGWC+7v|?E9SU*y>yP~nuPZaCj?K*{1QA!4s-w}-6~>}?
z@>hr-z7Mry4M%nM0aB_<Pc;fREKs3Ezl|$wSG5F4Rtqyn2l$KQmTo<10r_#Vkl#G9
zox0q8E22hCu~`B9|BBY}F50(mKRdJP<Z1?tg7_+x$Hv!RWLACWfZ47((TN54d=D*6
z_svC~qK{Bq7!jJDaV0@Sa}RMAqH|mM`VFcTgmon2=3#cFph8Im+&iqJt3rA}T}~0@
zN%D{83Yc)MkloL<Ud2Pr<Yc|v`a-siIspnLN(7Q&A*&IM0Xy0E;lqbM9K^NEC<JuG
zl~X=lcKhX>%R`}vk3ifQ%&CQBB%0~(?>{zl>NuMrVnY28zg&kZd8*E9C&8Fag9~cL
z6RhbFPA;Is$h|*fXztn~&V0Jqq@8tF3C6K{^pb?zyr7(ILCPCNOvbq%4?6b=GNYf_
zt&|(}-6b`P+FEi$sRn(6DB}uzOLznz1md~~Fwd6#j-%nuW-5a82E3OUU?|F1Sfg-7
zvfXollWG8q>p`vrqO}A+3MoMNOOY8hB55uZbup42CvN-(`+{(n!v|!ryiA2tfLr*K
zQE@+ag-p?MuAaGe?`f@LwKUc@oE}Y_i^1JY5etnm^bO6v7;<Bx_`2qg&2CyNBnt0I
zs5n_1X9g6X;GtTbk_UGo54zK$Dhn8HgN;hZ`H%cwo<sCILk&Y|&Vx)70`Or<ZmfC5
zEPiFieVba>Wwr*GDs0Gn$b9H1Q?tUF%o-6_H`D?_GS5wKP?%hld=0+Q!-X666ROjI
zc4cT1Ao!uOG>Y#@W*SO7Iz7C1;I}ZClg-2dW@G}4xN55$oLgQ3`p1cLLk1ss7um4M
zb8d9oTgz3=U0VR(B27ix&(jZ$US^P~g7+%wSlRQR#i;YTZLBy<myYJ=%jmXBk&$u3
zX+$-+K0H?Qb${abpg%G<q4o*@q`#?mMKxQ4e17Dk>>h~}h4?d&_O%Gf*|+l;0eTiu
zT)MA_XuZ64Rn2gR#6u(`9Rk;KPIlTCy_b;(d@F!Lqs#mXpznqEo#?<q>Jy(+B3qgx
z#H>T<8{Ot{8gm{0YXgODxDjbP#c(Fmyo@9lhdx?iyANG__S3!3_{=n3-EU#c)OXuj
z9i{9+Oc*4<#&L(RctqFfYvwm`t3SG3a8J%c=E&|VZf8zf4b1i>sl0a@p@LbCwU(lh
zh|>h%Td^_M$mO)~Eo=F?rx)6Qh^5B^yrf+mFJ;+D*#@<McPms!<)Sa0M+hBw5*ra9
zB=evs*0ZqM>YH&po%?!80|%&*DI-<>xsYiuJ3r(mXF1z&Wh;G0bqfw4^&#VA(hW?;
z{^mJko&68CzIq06MHmScJ}8-WMLJ#?x228G4cjuW+qI`Doz=fnkI*xGLBsg7vr+*c
zx+1btWjk&v2^QkIx%D;YL=iP|AE36feJRPW=rCL#PU9gG;prd(Fy5HafrDum7HYKs
zLVz#_)usDEZ98xt<CX>Kc+B$KpHEWWGNOaO0bDhpch!@EN+5s)iY|4XMI|;_-$Gf+
z#ejG3-o?J=YK*wRR{S^eOc?JmjMPpPYKZK7KH1*BgEB!oYIc&YdwKUgcaiPX7v4;L
zrAnwqb?;74v-xW6_slxS0_W3X?xv#o*<Ff*9ziH?kM3f~WFlY*OoW}luk4v37lQ|m
z_cTywI=Gi__fa;-2-%t}O!o<A^0$mwO(|Qt=B9I?i6p+}nt=!j%bS8-);xY2rNQL^
zck!9`w^*L@PVuVsby7yCNz^qzx)NfE5~rG{CuZo+A-#=9N5v?Bd1dXi44n;u|8}w|
zYlB^n8F87>-XjR2JmYPiEWcaYhX-ncIxhp!4$vE9wRbWmX4MGhuC8kdX=G5Z0J#&y
z@H_W3sVd}M1Xnxoi5qfJ+)VmCzzUr}xo141V$T)T6DQ%hC2~M?ult=7;w;sz=hjS=
z{FFO{SOTLhU{yrO>ou2teN5d^Rs{u})aA<~FA5ME*LudKe=Tnc$YVEoJR*gOFZyBz
z2B4LoL`Ndpoi`p?{)>=YjBpcQ3Qb?ZUNY5J+Uj?j$o4av>M2%ubSERpXJ<c^VzIx`
zHzVTwTHqP&KY6hPX4_vMj8R^Y`%Dz6mQY0p!J$&sm1!3PV6D0?F~f$iI<J|k?aHnt
z2q41-T03vEN(E?=2RqIXR|OCtpSuaN9-*E&{zI1=$T>!aG_3eUN#8+WB|dgl_SyAF
z+A6oe-Z)6aI>aRluJJux3zF99Rr>U^={o>4fpHNwhJFv^ox!Q%0iB6TzHWn1KQnX!
zv{-TmP~Zg4+L{|}n6R1+Ca=78e+&Fxg#iEB$F3*h6=LYv)UvtLi9;RI%IC;}awuFc
z#d&EGs+I45y+!H{cc3NISSX15;xd5`paIp#@XRA0&_cKMmYpYHg_ZeN$&TemCm_3q
z)n(Ag&aD3R=qR_&Q%(yRS{amOe!R$y0g?HFj$nX;7`$8n@fhm9I<LXCz6b9~lb{m*
zfy5g0KJ#1a&Gj<PzLUB&IKvs>yT`(v)6IG_NPy6yWZ5jNTl36fv^t-hO^zFVvcz7^
z()@Al%uNE_HpOzkvxV}$Cp1>l5Mj>guR~p~o3fP(p&T80{L<L~0Y+fQv{Sg!1c1aa
z+t{3OZ|<su9Z>_qGDW*g<=$WC6$hq|AZ8$wjzbyw)FtF|=;xhnrik$Q31YO~0wyWf
zR<~x62eM6_SF`xGh<?v0O<XXsz)Hxvb|ZS;w|0bs!|yF2wN_krQzW3w=>DX`)P&{W
z=KH~jw<iYsIF0b{3>)Q$#h`?s@K?_h8J}b6Ky9{!iIOr@f+|U1redDEsA?8Zjp(17
z%kJapsd(5*uq;qWYB_xMQabhf<HIuR^)?$*7Vf^|_kkP|q&s`i15kyl-rI+JDVvcl
z_BmHqJj2&z2Vr%iJ+I&b2#^bKZymFYsEqc{1q1k%4geoGu%_73j!j4eFS>$)Bz^PU
z^~XRTlT|qizo?viJoH}fY%Eiw8h*cSb3o6)2Dg)_0Ha-n-Ghy<12a-pYGS@>wQ}TC
z#5kvT1f6Js`42p7n_9UVg{-7krF9ex+kj)g4-7AU2}!p)j>F+(%j=`!+k!|u@tdlp
zwbz1@f{$rBl2;gFJyLY#epj~o3Kias^=+U%x#J2z%uX5D(=J)L6LE2%5(P1%YH5{4
zcVZ{bW&{ErG{Uj5vujPbfkPr94}n-NDDdi1P^H$Dr_WPlj{-RXBBKN!yLKg`*oL{e
zcYLv4d&bIxxr&nQP4AY`Dt*0?hlc$`o05ms19VPmPU~u=@3|5H>Et@)v5+*N7J7l`
zt;snn{Qb=y0w7Y2%q?VrK>VPV>tZ`)voWmG!bE4T@?ySSKkx-zAphurxb&3Tyo3SO
z8QcneP&*QU`IGHD;syY(CJrcyPCU?zw=eYPH0&I{{6AGyopvSMKotVm3mO{LZ;W3b
zXJZLs+u66ueh`hqStW)>;SkV51Pla8H?eLBSU*uDM_w&L1S87%ep5gnTX*1L);w^l
z-^(49O7v8s*6!<6nZGj5m+vqkPG^Dxtc3O@T-VE1FE8x6Cav`cu2}@;0sJK9e*tBH
z@TyH-c8{h{NY+`|hvH|TRuS0VnAZm?QRcm*8x9DkF%j%nIwVr&5&D2?YJqr`b{J$8
zDqv$aG~%m3`Oxd(toZ)!{+Cx{8q1NMR=^vcQPKboK`t;k9#PnKKn`|6>Pi9{Id63&
z=5)EZ=9~s%b1As=u8OP<g^p3x3^}{W1%Qx*HeZrZ8g3VZ_)(J5nU(35jJvOWI3TWi
zT$e`SOPb@u=~Jh!iCu@;GX)CrN5w!q6w0>{z$a3aWQ*awlQHM9L*Z&V-m;vpFXc0h
zafSjes)2=hR*0Yny(S!f?GdrELQ}1DerqBiPQxLD>Au>i+nNx>(<E?~^%0i+Yg$r(
z4+x0vDudB;r2M_d^znY)FnRn0K{)pEPM_0nF$>vEQb3g>ySy3=g%GNn#@0*D$<)<>
zs(C70k}OQASEDQh3^}*Go5TU;6>yu+^;bYV9Lv)nTgV4WLJCrHYZ4HOc|fc_<G0Xp
zLc}VtZ9ZiF1@Mchcez!*8YO1z`xOE6fjkS^AL2W|suTYY7{quZUQARB=v==kP}J1D
z*Lu)82MABI<X<QiTn8S+-=FUbOa9lY?M(}O5fJ{&Z2B-A5;~7PUzvr3YY?aMwy;cs
z1ex9gh&)oD4<#Bk$2p4H$~?G2*8hDdRAKAb<Dk#FQIC#?ym^X>IY6)|4zn!v{yd_x
zB6!H6G-&@(W?*BGj5OU6k?lI<v^Y)<?1VEA-HXKsvnPKg(}Y(f*Eerq^6!0lW$Y*#
zv#PTLH56?{VNW8Lg5Ok+S+O=ek!kMhL^vvvMNIrr+YpGnaSmWrB4p-PHvG!l@Dz0^
z<ZNm+-z-KVO6j18L$6`ZgI&@c8cdh>AOx+m-;>6&`Z)Li(n*kBf>@h9M@24XZl0T8
z02hZSBJ{7*CSPd*rzH9I`oQ+!!1h+LN6>YelOeyw!{@#E0xC=pv&^Seb{U$T+@JO|
z<}H}K@P1Ph*~L1OKuj==7r@?|eImZWpzjPu9(~xjN~&mf@I~+g$<7?@MiFFSFz7M5
zHCp@dMPuV<sYhjniNE`<sb><)01sYG+Wg?(q><+*KxjM-Sq}Q;wC~=%OJmn{*Z66D
z^PVeiG;VolD;c(fm11F$$+U%v-&|{C3++x+9%z9TVE2`VdT@-;0I}M%DgXfKDUhfl
zVlc%EqlrS&ZvD;fRye9GrEqL6v!k{O(|4%!J$i}RmOp>AV90$1O(gLZRt$avCVT*G
zOy1_F-;esEXk9V@WS2pOx)ZEp%|4ebfADnFu;o^S<ZXh=eE!xpyfcXH?75E|)^yrm
z_yVH$N^bWfwH+fdy&-_p2L;u#j^Rl)#J5oUT?~8n9j>D|7UI$e_Jm6(lelGdn!(c)
z_gGxZuG`R<;;M`pFeI~3<O)NqIssLnru=yFeg57Dzu$-x5k%gxPAzM>N$@AAAIeGB
zt#Vr{ScQayPnHR7oe3Pu8&7;tlR+V9EUzqCKXIM7>9YJaOl?nL1XTcpSHyh<GG=rq
zIjx98gpskR1~_CZpNcI#zLDt5!MYSXbZ)%$8)POLh@i7zBRkpchLXUp{WQm*>bhV#
z0P=+QEqOsEeP?b9QRgLg%PM$c#WU9o?%ql<H;XZNaSBZVrXve-5~8Ipg)ypkhSSs!
zgrcpIhZLQ^-abMRlw9b!%zYWMV{<^^o~Aw);%Qs~>XWg=HI+|U>IEfGPZC;XIpy|f
z?mI&B?6DgWJN)znmhD%Ev)o!}h-@M@GyS4)y5p^)9%<Y6Ek0RhP~(FP7aJJNhWtfN
z3sXJ(n`=lW|N8z(E!Y77R4%rw&4L{NVuk>0W?Ove(0VD%gz<N&xy@ck4B(^r-Ddpr
z`63wZf>EB(%!F$BJ^ycCiY&tqlgQ|(&8@*B-Z4`i$lQZ*#FjpbX$G8jtA&a9=;#l}
z!8QePISUCfDC66X1>&A~Vfpu<a~A+EH6D^fhj`*5Jsr@2dU0kHC_`@m`+wGPL3E))
zmZJ(tE-k?36;4~%hcJ!#PwKjF+TyKq%Alyx<$>cRu^6@?FQzv*$-Uf`ZAQrYObq&O
zqF>K7un|2D;H|r9pjZc+4OP3>JFh^MllKl>jzBUZEytJifHCY)s$;Dn9;TUuC_W`p
zrD+v>eKu_i2@4_dtL`*wnF3$8zH%9NB(m~^o5keBROYnD8^hzhJh#_WWRFLzY)IU^
zdS&NMya>z19wwy3m|wTB6NRjZTz>L&Y?%-yg;Cm1-i58%>j@M$3lfdE{lj~|yEO@p
z8sOrA&(>&!lTx6%=?VY`;C`S3>^ttbP|s+@oxR9FrJ$ABV3s78_1ApvMWxhxmvM!c
zld{^0h7*a|Xg)J4*b_cWQ$4A=r^(-OL2d)5kmw*(ZXC;FT4grIh@CejKNgbpI>Tod
z!yAP{liQrr!j;YtBgnD2XB|cB5qR?`WCEyq6xGGS&2z8C&~l<zf*$rQeW2LdeHyDe
z24pfqG)xj4M6L&ay#XHO3st;0)MpN0>l(~&<nTob1Of~WP-XkL%0o^i0Q7$fzZh1!
z#g<dT2u2r(B_J-!nhJqEsI^RWAa+YX-hIna%c`Eq_*)(PC?+o#SQ0$o&yDx~Q!t7k
z3&{1iM#S6-m6FnKHD+fL$2Ob}B<1XQW-dZ&&)l??DWvjGWdIF43spnp#9BT|20GyJ
z(c5zcWdM{PAX<lOnn~1TuwG`^eFZ*-C0pZ#+c}JS8=O8w>LW6}FYBBw)8bCye$og4
zKCm?k$+aekcY;beRcdb8K(rO+qg5YRZZz#=awcTQtRN@UK-dTh=SMZyEF@`8x6KJ%
zqr<#1=2zT-A!$8(a1BZJt)2M*6hLm`)PqxGs$x%uYXvV()@Kw<OE2oR!X|GaZgOJu
zlBj<L^f4((H<)Vl*A~W%4@l)NofizLVy;!wbtOkG3CLK~f&*%-2M@?}I5P2)pFS4y
zTWkg7ld&@P1gCvou@APtKf7eAq|Eo@!4E-FbxZ&X9!Sub{)=%IA!Q-xg#UP5HvxCr
z7?<T>HMfEe*{4~kI`3TorV(4B4-#k|#F!eGF&|O>gZz{T7Og3C==K5kVhMbCL>{zU
zVCu4iLr20&1OE{pubTro82HDY{VAq@!nDo%CInT3u%HK<MgEas2(LQOPu)<z62J_=
z#z$}Ph?GxyLVA2(Mrs4qNk)1^^yKGH2us8vk#8u;C7a0bp#i6fAq)cw+D9jeI+Lok
z_S`{88ouB_yjM5?d87u!RBBY|sICKE_rS$e-Z75i*I`XNo@W+=|COU#v%Q=kOz6Wo
zU6*939j^)m@oNb%*KOcrJ5n7`EC(?qhl}0-365_c?LTy2m)ijnnTPzWdv+m=V(=*F
zn1=`$gfy?hxnzvTE@Fu)J{lt?s{=TwE`Z_0dOSW1iK=m6uW*3Cj2vfzw5Di&fcv@@
zFXoyEoT=fo1<XxA@L8!8{x*nq5|z|kmUdC=U5SQ|(sYYeRmX|DGyyk}69-U`uESvy
zB$L&7WV(8EM2H1qZUJBWq0<~UI%P>Ixs$s*f)IKnJun8bz5~CHwYY)o=fwV~=R#r{
z%55i3tzy%esrk!^@fD3+MQVL%3N1VrFoh04ni8@KntZ1F%B4X4&TriYDx3_Ncn(wZ
zu_LeG3czi;;THfNEZgMxQPD>Tbl=eb45IMWW(9MD0jNX?!;!iHkvdN2QSgmzN8LKz
zm-Jd=iTge@>+^1mN;mKftYs+HWq3oD<BbFFU>Xo5_=F(X^}Ji(pNLn3idq0w8Y~Mq
zC@Yk364Jm0w;l_INR;(Kf47Qk<$kXN2Vk1$W42~8XfckVm12;gk;z^%GNgYp?nf3u
zPpKFN{2)JC?*(ag?XpV<lR!)kfHID;60-CHV#Sa~`1+s=WGLfj(tsn9ED3ldX)mPA
zz;45<YMPNFT>`Bqx!6~j9v@_&Aw4X!TS*7x8l-jUzw<oE1w8aZAvX6<@Q)e4u3xQM
z{b<n|(+l`PyJZ-yw737WOXVL5I<mF(d5&UCA3(~ehUzt9-#zrx9HxmVVzCbir;R?S
z{VTor5faLacO+2WKz8*or&t5m+uR-SFxoIDz*Xr3>*U6{uY=;G)w|92`mI@#jy$)B
zp`eZrg#v@;wjJIOImOR74h8#gFdY&2%j4A<G%x7oQ5fub51Ed}lvEJSaRj;+h$2*m
z$yUg_6<osxF)72k?SXY$7;8%c!pjo2v(#wQbG9-X_=t=@Afk(q&Puz{$(<xWIrshj
zQDSido=B!?;73-8j!Ot-nlNB6QnbQm<?k2B%srasG<SjJsss|PN)>}bb#}270--Ka
z1dJZZ^S1^YM`(qV?-Nld8Y+58O#83hliwJyGkejQGgj7;<<`fp@*75_2N8r&HT%LL
zQ?)q{zo~qJInF_^7svr|Py4JTLPC)6bjjJZr76usx6zL=rx6`MwdYF69iUzx!$u+&
z4>rnJ;&C7HLC5_S)OS+8r!KG>Od9kWxDW^M^N)maYA$2>sP%6hMKY=;yFAAAAchbn
zLCDZLEid5L6y;)VJJgXedh6KXo63rHz&O*XY1^uJ@4kZ05@avLJzk<uMj^scTcTa1
z<!AD$V?qm;2HKh>bQDN}9NuW#Yf$l@gMg^<ts}>hIEdtzFE7FqQa6jt-yjy?61<l6
zOp(=+r?r)FigiH5p8~tOY2GF>0xSWb09xp%59xt!n>M*Nk05CC7+J90rJ^Re_vg{-
z^aS=h9od+{)ky(W2}|UxMiDM5AkuFqM57r|c9o6HeR{MiMsviitPsjoCrm<_da0G6
z7O+x?k5l`(CJ6S&0zFj)!8Pj$iQs6g^&kKV7Dx)<!>QTl`3h8hKy&cOO}Zx(3&ZUd
zpL!s&sDT)OBYv~nm<@FILvG(x0(KL^H2V6VFYq6|pBa(->a*Qbk^L&VGnd*dIxDm=
z8j~PY21brSz;bJMZ=v40x)+)juX&;RE{XrmYeV4M*@K0X?U`ywrxJJUpX@HsNA?}4
zoljC9YlSU!iQXW|pKtEk?r_$h`*m0nSdTblhCx6KH5sJ-$<Q6P5V;Vu5bw7WVA05w
z>3-BzeP4LD?#}aL5*E(5e1BU4;8q{x<&@)a2xH4(s}X{JKT=O|GGxOodQxGrfh{*V
z5O5Y7v51!nV23F}Sp<?(E#RVW+P|@?{F<9k*sa$YSLx`$<Kr|5{V9e=4#~vDFNDHy
zi0d?@W2Kz~B!;7KyNp@)5mr>wqF2UcY3ZJG>gjti8EZnX3laBU0@y_#SW9wk6uDKj
zE?>SZ0>OyL#vdk82SJtw$jDi+ilpvhKqev>7wD|gu$#ebL*fkkI3hFQ81Wc|A+uC?
z9kRAQc1CVyDC?!JLdr=3SDoo%?@-0i#*kzEe5hN<78;Jn9Aa%tzP~#(KeulvIpwGP
ziGGyebUV*V#c%7LdDJ>EloFM7qqa^=!MK#@-a{4O-SOc-`Ja`eJCgMvrrS96Irly<
z)Te~nSD*>&!_j6oR{CTB5@R#3pvKM#>fEhN*L{TK_%Xm?5|S_5PDn5*LuvU9N*|{z
ztx|4qj2}m;0Bpq<^%KYedYZcfC?!xBgHtm2q0d9koLDNbHi7Mc8j^w02QYu-_CJQ>
zLQG7=Co&l+NT1h#+d6DGo^-iSqvcP@;r^$z9vLqxI>wlm=XI<<^3FnL8cp7Ygi!<I
zKE>Z>bL*0EE0$RwK0qQ7g23#%L!8w!Zp-BqVlEC;8^NA#Sw~3KH*E(;-4(F97Nx@x
zvuhK%QlPxau`1?VW?=3W7diJ)LwVfoH&6HsMI}$qAZwZ1Krgrios)3?*^XwTq(Wx(
z2?V%Hvx221J+GaYk+-1GN$M1b76r(Oez5(k!Hla1ZnQD*<%87#bwD^_PrpV`0)m!5
z_@#0a8_zXk-_pq(leR(+j9KM8xMKVMm)@q>a!no~{IXYOG`xqlEY1pG(#$6oPy-hp
zIYSZOBfqu{+*KkRCB)L-Z_iMX$HNDCT+JWt28x0VajGuRL?*e<3k$l_7_1Q0F}<Vg
z3Hd+6R089{gA7LC+NCP)wUQNC?zKi)xX?)+vLm7HY#_9)37p+@RtfX`V*}Arz>$i)
zK2`}FUZI;gSysqz>4<Nd1tSy}>Fs(Wz%IrpZkdYA0CnYq`r5R9Ft@}9gg@x@s*}47
z;~txvSy$~6#tdZ+_0Pz1lwuKE1%X3X9{)_hQZLq~RmNEH>3SZ-D6sH9um+rEtXK!c
z+-zt<5Z$_^L>)pEhyl7}(cc@hM>*r?xlw)vrVNh^qm7l>Jb+(#*u=+<LIZ@xeoriT
zmrf#v3I~2$OYi|jd@Eh$DE-T|>+TatKuCkl?pxM=w8BMKcQJUQ(?w)WkA){!B@ehP
zK#RvUSVz{fzul|oncU8GS6mQgVDSHV0n@IL&t+nzy8#@;^8zkJDTCA72RzGIqaPa*
za2l~V14H6Ms6<dZ?6Fluyt!wQ5)b{*9tH-3c7S!{2(GtczvWB6ySTPILx(UE(pp&y
zkZBSa+n}aKa8Fah*=oLCB_l55E>k75T`#c8=(ru?b<fMo>qiXwHS6Hn<1t<ue3o}d
zJ!<5I{Ktn~CXcR-oWd{;LOY5tSlro3NURFH-lOga=#~H_?!i2O2MPH?vmQQD665}g
zRfUI_L&QTd<3nAbW+Ic`_E#E@9jNT01T8@c;{vdO+FttL5M_*l=`4_FHAKSrBZ#$w
zh*E=6X9VX5-CHlLw^5+}lL1kR%CBO~%g!VBIP_Zn^QGu{{De`Yqt1^ymyMtL&pi@`
zHg9(AzY5J>1gI5>+Ig><8#ENvfT&4}7_*Lb2rmg%$Q{?QjtHn;s4!3ftp+!b`vDSl
zT1G1<B2ubSNAxD?WbwOMU~~Pner?Y2ycjDpcD6z|Px%roh$IL_1!s=sYgk#XAjdlp
zzBRzlt*5bvlr008bb#E_Xjp;8Vx!`RnxS3cs^lt^;DbO~WxxDe>_$(;(*IP(@aVy@
zj-ou{eID`M0IrGMJRpK_LhN|9xGM8bilgjX;tF&P(Ck0skgy6*LXT*ycuxldq`g9e
zBmaQQ3B(&W8HqW{p)If~AVE$_QfhJgM)d2IC$&9%>QY2x==cJ<021b$p~y}If}$p_
z011zX#s+=k3S#4pJ@BwFdT?4$Ih%5qsz&>c{3$kCkX@0DTGFruw9G=11I7UB%jzc5
zQ{#M47beuXt)0R^!l9-u0?dUjN>PC0e0i66p@n0mEq?1H`B>O3d6~A?|HK)XIt9q+
z=Yc8h;j6!X0i)QCSUc1db-!1D{|^mlpz=eU$ZG|}maFb}92#e7&g;0u_vXt!uU^*=
zMR~TFwr#ng;?NUWiz*o1&l%r#r}c&?`a&DZY3C+H1aGb{E4;txmIcfP^5!lG0AAAv
zV|Yt}Q8NY5$HAM}KN)x0^v=dJ-KDkfvsKF*y>$N*Ju$vQXOiO3gfTF_PPn4(dzKI(
zYEaAt;lW<ZrbUw2cDLCN5)hFAw*!wAiv{2i3&dPjIaGi|isGnM?hYe{R^KB&8fxqt
z(S>O@+HNYIO_Yu4#km~8sJw-q;i!IUH$0_LHAHA@ZoC|S-$_KUB9ahvLeO^M?P)Yt
ztIl7W-wQPm>=k!0NT?U$ZgZN8B)Fc;(IPKAWO9|~M-YiZ5wIZ}x}0kEsUoFz_VX=;
zO-A};7BHftQu-9NIT!SelmI(&c3>0o2}hA@s2ra+ux+)lIVw8-U<MjV?(`r26kLpa
zU+yPy`^O)uAAAM7bmnwmCm8xsQ`Y}|I9)1Kho>6)Mvx}D^=YJ>#`xsHH`GE8Pv}+@
z8-y=+E!%b#(0@o!Q=J5F<Zq@!gDkn0-2VF&HDuD1o=5N9ZHEHB?3F7lg{TY`<rajc
zL);q34S>OBVYk&n+icuyEcSsOa6ZAg$V7wM@OX;&flhp03^VsidD8;uhS|ABPE<^B
z$ISyusD;c$GdzYGqPq*+O9eLIqXMBfs!YrDU;8uRKH8u2pKVNgsuy;@(LgyBMUR&B
zTdA=hJ7GaixUMhxgDB*vfYubfSa&fngndy_(+($gGJu`bJ}hGZyD<nkBjDk~#46Fz
z=6E`kV23gRW|nm=`EphYkgl=#qAo#HVN42wEbw$Lgq_A2n!wy<9mqVbpld!{llI3q
z{QUEz1u=Ohnom*1+{4_K^{3_!fB+<l=;_#x-N2_4;2e5GuauK6yd@(YvZ}K8o`fvb
z91Zf~%2~r3y7bCGpn7aDVLfj;LUBQWu9Et${#@Ov+hDN2E?SPZ$O(CYpQ6s}U`=qK
zPfVnNd=ntiEWc3pRt+#bgE0VvVx=?C<4$c9Yk4ggiV8c;JYFI%_iMz8ZX=xM{hCug
za9WG^eSy<1ic!?YE=LVOU5UuDVVocAMLfc7u+{6kDd3GmsgNR7()T2=o6~McZmd7|
zwp?pFp|`Ohc@BCKJSvn?ma!^>lg3k2h)m3&uW|>X?yC}DJM`clfU5g3(ELE`_C?y%
z+(&RDfZz^k-ybm<rib2w%o6DUa;B`76rc8kw|lu9=Z17ekU6GS$9YPHgZI}15dVI8
zFR3!>gkhgfwsxCslKN&@3N_|>8blULB!}>JYMnq8qx=Z!AN2;nSp$2D3LMIFXJA_?
z?*W1}=NlPj4$qTR<tyC3#=W`zL9&q$YgF}AeEB~0{;VpXTu@0N&VcnKLtcDjf}`vK
zFE8!hy?YJgx}lIK_Wncn414}2?5L*3pdjej1&a|deyX+O5clvwL9jiq<p7_Bod!s)
zE7A{g5HzGyTZ!%P*2Kp#g&ibl7?%SK<TEP_%M0if!N+fJj3W0&FI3ioQMJT=e`sGq
zo=F@qsDhMGl6h>PMmS}ggBZuV-#QBh^GC&2>-A+La(x<gqA2E7KL?y}do2SWlJssI
z{W=|+bI6|dCMXrjk@E|L+Hb)h{|ZP75MtHWBs-H2B6}S_u?edK7~`w}6)kt<C)2t<
zvIT%P0CvG<;uIkBKrq}6+5C$?z+AsaJO%ma6xd-{9u389AdfVJgU|xUSY%)uZ)X!*
z9ZHR1L>p2<Wue{At7UYyCC_D;bNSkhGo@SY2Q7zv<MDIhY;4JBf>s3K1b2bN$X#Rx
zOlJ#_l35?eQQIJw8Sg=Y^lsTXIZ(5?i@;hfoT=Xq#f-it0bi<pe-m}6K|kGh-&*K!
z9bExa(6crKTmOEsL@{}>4MKSx;rInAe7*5q^oN|5CMgkEK6!HJUe6P_MB^&l$$)Z{
z;227Ln7Ox;l8uSWXV2>QhYZ)mEr0uNF}NTlRrBygO+3me!(e=3Lf*!o?SMwFpiR&C
zyYx8(iHBm6M{Yn77Tlf(zOlHxZ0ObrW<zy}I}q=Zk0VeYD&?cUeK+VE(<t;SpHq9W
zsfMQqjx0`Gi#a!8kbMr5Hho0o`y14-kIcc$o19P>qFA7}OzbQ2XfWxX3%BebBoSh|
zeLKfDikUz7>2LE~I@hdSJ`dA?T!4y<08#=$5ir0F02s^{O9J*lA72Dj($z|+mu2xq
zvxHhB+bl3MRVdqrEjs^|94e38k{gNWK7y7!{o2@nvnCQ_q%i`SAKE&zwF$849vAPz
z<ljeruNaF;!45#su^&u9NJhCDRpzk^$UB4~zYEdaa?F~pwob<S`a;EQ+o@{0t<B3W
zD}BAO?dTYqGQu%jMT8`bi?RnOx9CO6sbBpwl9dRt@f3lrkR|i<3#3QpxuUjytr8Fw
z^r2;;$^q;*{DG*VVb=e5IOKcJ+{7_|($1o%x(9<1d<jfl4fyEJfPT_YzmWrVGs>#S
zTyNDXjz$|++|$3p9Y?+HnjR+%Vwb>H<z24(y`Qr>A$?*@;nD)8xfUrpLtN&qRC!d>
zsK>V;b{~f#AQFq`>LFa5LARd-n+>>cyQ2PcHUeU5xNJ>YPKTo&{8s@uYUo`;zBJDK
zDb#xnn)f}|8)yJKuZDZD$Xp{mrG|0%DZW$C;#7*{LSl~rWI{n|0wiVmKsdF-I8+`r
zsO9r_L2K6yVa06hSNhF?mBbsa?CO==O{+7{N=BdOYH>o4Na#Iy@XxE2pzr#b$w)|F
zzPwcRLdfQuB5ob&H>=4&A6P=|YJ{soyb6FzLn{5R@4OH#XMmdlZyCBVBLBSlH(TUF
zhubyWTI?Wu;=%P4-9EcBc=SJY0Y{me{a-YyMWhGfCq4%(eVlNX#n3-N!1@vkkwv5?
zs&Y^?b4PIM#uXsI#UhSmzE|dbLP)<`f%=yc8sjf+N`&*d3{I{z7SI{K$i-e?j?Z;F
z<L<l_%A%!Iv`viWOemVKLi~a>1r-!?K{s+4LEWEjlEH$AOsBUMEa+YkXqEcWKU#U{
z&>;fQzY3w{zOBHW+ic*<0dEn2)ZM5dz=Z>Wz>bPdAcxrBuOQm@m2p1|KV*A(O$=U~
z!6dA#Pe3Z1Mr2G=iZS#cqL$-YIApKM;f*R1`KjH&CsU&<BT(0N3tGpa5ZOU6>85>a
z#pIiSw2FeIQVFB?a$VfE{|1MXI5+pmh4UXws^AlXWU~D(D0)Jx6(6Aj`}Jh0A_PX%
zIf=>%rkwOdM8F{5RTumUy5&HUBl-)(8v+7DKnOTwuWzEF0X2vMZ$sX#gLo^Hy}|Gj
zh=T-x3<&ubWJsHr9552Y1<<00l!>S{>35$1aIC-Ygv40$xF%Z$N&oJ2|CkYF`}fQd
zqF94+JGuOuhcGYgmNNkvO<96EV^mRGk+tvW85*EX<>4Bg?We%NH21&}Rot7UvFIK%
z5=hO@fm}u?)|H9(BBuisV0Td4JW<p)+#S{cHWtDwscZPyn$m-F4l|AFmLJ?7<ENx-
zz5S!JVu&dH4zKXYO-67GgQxsA$D!+1e+b@^mbT<oNd^T<6t3`@MVAY-lIFT|$n?s$
z76pPwUI1Fie_Ze|tDN7x1e#&wV|N4uB$vX|Ab3*=<pbm~+ANHPjmQPgXkC#wtx0hx
zo1l*xqgaZ1^emxK6LoMh#v?6)1N>`UP_3|)o&0;dc#zyG(KGY|6(DMTj05g0Xi%}5
zS%o#BATk{ifm+hLr9+(SEg+U$dWNLMhHMZD#XY^UjvS7H8<jS|xF8=mWdG41J|BCL
z*ggu%uiAqejHyMR5U+mV1x<X_z!s}f+fvPfm*r3&U3IpUowr%fiXVI$y*-Il7eCR|
z!Ck}){YXXxKDazWnOEf%66X40rI05xcna7!UzmD&(jIA!Fy=oQP`04D7_!j~c+rNd
z9Z(uMI+%EmAP~{3;atS+3o+0nvzdb?$j!l7RG*_3xy4y{07Kx39l;tYZF1d2)&%Kh
zKVNA%VykXC>>OH3DPmNgv&l7IeQ=4V!vs-7>EmyjQ+lqif>#YtMCdnQx66##;cY6+
z>_fG+<DY^IIEi-_p(GB(zVxzqIrud62dllwwYlF=k)!(*##<P2L=vn&v#wMrCTl$_
zOuHyw;_gtf5IlkSjUoALnk6~%OHd<{96X3DnfM|E0>pY?5>Or?YJ|v{2OEifuEJn`
z95Q62fXFZqa!*mi8MAS(3`Q0-Q6F46w43RJTh+J0018$v*R=&QQ6tdP#8-t5n$(}{
z*uAm91CG<}nUUkv3%|GXg5kR2@B#G;=@(Y{<;W`bDQj;{?P40WCw6wD+3^_HU#adk
zoKDg#$1CwXiMg-~69tKrZEG&FDtWnA9IT~+Q5gn2U7_+q=Mg;xDq~(Tis)oSLy{5M
z?hxrKm))jo1GB|AOBLMV@{Y0DRPoL8sFnW(LwJ1)^ut<Z(j_Dx8Oy(m>vDK5uwIpf
zppIbF8$&i#yd#*#y$ep&qzjwf95P~qF@<>r9lLHoOv>m=mx69Y>!h1Bq#pX_4p%G?
z>mK0yIL<)RF9nEx>FYhn^nn;BB(Wh^NNI@HD}{%=ZaLPYO_tC{dDYMwSd<#jTy;hg
zVsBjLe6!8GO6M^@+Pq!AO>yJYpS#=Hu5!dbL<U!Nprr(d;OZ#eZR(v4atXV`jn{su
z04&c9PN25Ps}R;vI&7-H1XThrDT&OQ!Zb6Hk3yd6L7-UzjN%;6_4Q05Ng6;-7|TU0
zx@Cnz*bb*<Swo%&7shNJqsWKEeGOEM#<6xx)^l1uW2(T|SHH(D)zz)sTN;d&>-qSI
zxjI?hchF+p-baY{PzAES8~6`!pAUwdY=~<d9+^Q6b}DkKMaE`euc`v)1)QBi?!|De
zt90N{a2jfO^T!^P_gLlzw*WM$OgjGyvq;ovBIO|VQtF3IT(M;vQZmEjn&U)~A<O^a
z!(JRYqB#VnUbX3gRf>pRJ$k!95+lG-M8W=S%8e+pZJ-!hJpw_}V<z3bYDrPoynIsA
z6{{M*4%zK0G7mP3F8e|6VJ%lJP3Uxd(Ve%uEf|9M`OJ!RM4VcWw7ifb#0JcNcvf#Y
z_vox%)8M<<0N8C3iwLak*H*p?@zwS8sgdQHkRd&LvJ6D}2#lvC4FX-oIxjg5wGkdz
zh!YT3?UAi}%xfN}0o`Zl)-rHh2BNDln#LW_*57#<4E(SyM$H`3qMqnTr+lu#U#B65
zk?6+8R4h$&a+-AJJP%FRf@ZQ<uo)l~VKmtt-fm@z@)#<ik(V6F;|O-iLo~nNk=3oS
z|1q|9+!|dL0evjDX+T#trh}`g6hN$`g-X=Gf=TgfbdDPHR$GDQWU)$SYyb~#a8h7=
z`sm<9)FEpjwE5blrf<@wg^-Yt01r<tS!C!WLJdv3kzcWfi-0Jv!2%&=TaX&vO+=(U
z8J^IPq4u>Tz*L6Q^C7Yv-caVPoeo4zhB?sXoR+oIP___@7`~mJvg_OX54;>vOdoPz
z$c}K~8=fEKRV;F+8z~1iJ$b*P?P~G<Fs-@u3p+EXGVn6jD6%v#$BarU`}#{e8caqg
zVBHJma2X&v0j-LG$P4cW)}EB*=i4hfrtntQNEEf9wJ!dQ%wM$#prEpviY8<-xA05g
zG70N=Ui(`{lo*gzrk2tu_Bb#V3h&uNli)NDFJxfcGR(81E&CWWrFv2(@KY9UQ3YdB
z0;Wndw#}bPhL84KUA8kEm`94?_($`;FlnIF^?=@><Tv~nKDZ`t(jXP@GAC13VuEa*
zagkb|w~%2&c<R+H91PqTBME#nx}FNzJyzf%f<bh#&S<>5*c4AFx)cSP?kS-m0$q9$
zUN()$dgN_m>@kOAdi}NceGtQ2li1O&IrApEJxhK5Nfq-h1~<C|lZ?aSJzMLf?T_4@
zCEC|51a@Z9kRLagg}fiyCoJ|tD;2tR22rKx3Oyu4Pi*F*s-a@8VWDyvF7OhY*o0%D
zSQ+vuaA0GEf6NkgVl9}7T3-fXFCmdw{I@@{%<f1tI`)76`kr`(fi7Ek@+Jt~8zi~3
zCy1@ys7bxtEMlLR*4kt()XUq;>fv(Mr%&VQ=qQe>(R>m-(tGbwtRG-5iA8#>XV%YF
zYrfE-Z-XWc{K&MnF>POkoJtT|{Xqm0LY7R%p3s*;L&!}@#b||y6ELu!jMTD{fg&NL
zZqx+^YJ5?Kj5Qx9iwKiA=f&}Gj;^&*;NAEU#Y47CGz|Zm7>QNQQWF)wXUa>Y?~6~6
zT_Hyp5$W-*&b;W_k7t6`_mH4y0!_Q5)O>zWzSRQ7N{P5FVBDl^LqF64ZAOb092wh<
z1>OL2tp@<gAK=c57*RX0d?LsX9RS8&9nrmN!k{D*Te1PKU!R$I4mTK4MO*|Rwjinv
zd>Fj@)R=3rOrLg{jm*rheuGds#sTcSD72iSt>WfDTfe~!#^sIo$OcsnbYy(x=^z)~
z0VGT8u)Yk4Aza&h<{8}e7hv^-ap{~tn4|y^>B9wxv+y}7e=s1!9^}p(+dFlDLy!vx
z-8;A-okPv!oXYeE1B7=qC;xp3BG|XI)O<OojYP$SMmTihLb*aPA-?geEa#fEP8v;j
zh>>`r8#fh6fNBkf_LS|H&n8Dh_6C*S)Ebb1gdwm1N(YDCaTRn`B)EuBRhVO2RWCV<
zO#|inj3x5k0LW4ra@2KQR6$p5pb!}85UfI`5yI}dQ3~*y6E(4tEuw05=Os}Sb<ynd
z2W_p}DPrU8tWUG~aAAef35-l%57l2=hCHB!cQ$m-f$m95xD+WRW`@~4HzP!jj?Q(V
z<<kAXkb?~*Ft|fc22%?r1PY|E0jrd8b@@YtYQFj~80jPWe~;M^1e+dj|9nhE5w`aZ
z$Qxt(A~Tt&?;!kbjBbE)Q}#57+fPar*5rIslkC$?vif^5NIHsjnX5;_A&EsA9#w~^
z#vKIK_{Mu{tFIs~+z=P$gdTXfk%Ny|Psu^`GKh4Jz`ch~RfD;h1~Iv)gMgGrZo@^P
z085jcR!dfI8-Nh4C}5Y<5Z#=qDDvTc1u5wKZJZ6?)vmN`Cr5ZoD6bg{4DhiS<!I~{
zu&-D&yb)W-k|UO8{W)6&+Sy?a6?w_wG6H3edcC|GKYR6S+Le!^&T}Mi=j~!Zoe1ft
zh0it1#-Wz2dm=^%d|hb|k$!hMr*tHmu?KaT-v@iXx9PtYCPD9T%!)g8ad-_tC8_7p
z=8`Y0WZyA_V7!ng4;ib_EpIoVUH7#GBzS%~{sGQ<Yc^jj4eWM4?-L3lT)=-l2dzjZ
z3;LHu#T|9#Hj?ADRv@UiIp0I%SQqr&5zwuDKsbt<0t5{OqZm@x+SZLiKRtp&B<U!_
z*H{5@E)hufJg9kU;d7Osg%v4IgP={^SeLGp3KdhcsFoSS4s3(h#TTg-0Atz||3t8A
zlV?@PQN&ocCq8tp{{!#ASfqJ3;T<3fwZ+F^T>yxAWMqPtfHa*Ke+1Xhyv?m#GeLeM
z<EQ3UQ+F3<=RJb1&UKCJFFN|3<_tg~o>Zvs&LdL2)aQ0S=n7VJ`;J=O#GZ^Nc5<Em
znn%8{yR|#L287aDduy<I{YmWyuN-tyiXyk_y_<|^v*C+c*~K(9!A!xTA~$?N9kT*j
zGmpM=zQ?QNue4FUAgSg7qi%##*ewnhLzWMHF<{Vu`+|H#+))?>Z7uai;lH4n;_8(v
zWyPqwB_R>r(>R-{yU7an3FQ>G5DCAn&Gpn6=nvgmS0YDOu)&?S2?9i4TtL1wxLd5h
zzuk|TEDKcit!5@bjy?%hgEttQ*qGlQM&8JodbxhoX2Wka1vXLHJqoCEeg#f=L5D@F
zTB}j3J(=I{^=_5oP$1b5+J>AN4r<DPLOk;XNWJ8@^!0E}OFcox*-FRCZLVTybu|%|
zn%LS2nptE47rN#Hn0Y&79VCk5LBwcXwca;_yhc8-Cd7=22+OwD^=>p2H^UNl{~j`s
z6grT{2?8nVO>mMMK>{$`K$g&}ORc!bo1w;*(_<0ZmGnE{MV_^uQep|}IYwNKmrIC=
z1Zuvaix2$Su^;cDD>rUAB6U;`?#Q6*0q*n*@=~heudj^(3y^1xj9%F)x-t)BlzeYO
z|9$J;m-UiPJHZV759<?yg2LnK2M%_d>oYJY>p;99UWbdC+Oie}L0srUDleG8o;I)_
zT<ijzrw^=*`V{{`Md`JV9ip{xxsb8^!^=M05V96tzlIO6;=9H@0J+2)8Rm`jv98Q9
zHew*H3sNU#Am1&OgC*RLg$Lbr0NJGz|3A9kJCN)5dmn$cqotk5$S5*Ok;+P0Q6gkh
zNM^DkDeV-QiHNdiM#!c?o+xE+6%rXycKBWQQ?K>@e1FeBs#mX+$NjkP`<!!K*SStg
zicL~zaLB`uFfl>r%T>x%1`>qMsq)l;joFJ3PtsZY4bd-ktd=AQ!d&%Re7(KlWk<(<
z^zxFU(uaLr%Z_Z`<jYJQ2}9K(K=j#fVRPZFU+F@`zd&)iW}4st2<5=HT%BN1qwb@&
z``=%%3wZN!Y`N!!!oZ;F^H_`6{bY%QEz=ZImoeF$B4(b@7pc~&wS``pneecphUXif
zHx%KT=Gs`X+Zji)K0XX7LQd&hWP26F6!(Z84gUUng}VmJ8J8J-eU)YvPC75fYj1g`
zX{_~+LGnnGLHHH;eegk0&S`Kt^0N_15sJRiJJ@Sok+Vd2;fN4xA2J+ZDVq&0GUgzc
z_{CrHdmoY}Nh8F2z3-oHgSgp8+M*Kc11=R3fmYWVP9G0i%MP*>|DUP638=l_5~1lW
z7o-)1O0IK;6N;1XmJl~Mgd7n9l81QuSbk}Ou5FJ!=`iYzBSDPF67Yzd$xQ_j(M}?&
z+EZj}wcyZY=FPqfE8CC)q>@kon&b=cKQCe&e5O*sg-zsmK3AA<%x}kztQqg5>JQ$!
zS}FF<A(KB!#|Q76vlAh3wYppq;d-O~<y8?Z$j(k(^p$3}IfZiXf!}$*%ZS)|#?4@3
zGU}G8-t*;jfcl|LMT1Z?nbSbKNo^KWnn`?1$c0NR9sc!+zxR1<d4ZYs8V1#5$9E_K
zyLcK!Q)q$$KTEa1g|0-$M{FLVgI99Tqe;JrD<CPwNsGyDYvaHWml_qhVq~305WL+f
zBTSuHEBY<Zr*?C_+)U)AeQ;Fj`K~xHqI8V`mWa<ci8<L2$q~=!Onc<4@nzUKb=m*S
z&^3b;X!GJUoD!P02hZd{oU2O5ERbFj8!UqTtVU7ruEBITGz{rgD!e$OPw_T-SJe8*
zu`uq?NZdY}XZ*}}>Y`uA>~!JmMs&WOA|5zNJdMkLf<U0PLavx4_8Y0L#EzWgpu~=R
zQhQtyG?hZ3;O^F7y$#e#D5S)EFGq6@o<bhNYv1JeA%wU*enirpg_jB@A3WR_LT2Fm
ztQ~`67ijO_GtL#e-bTI!%KHVPf_w88ERL)<(paK&Cg<3%4m2-#>A*#X!1O&nzwb{q
zx6g>=2V8*UC6Yar5|!Fsmt=Ik<olZ-FVDM;_vr0}+;?as-7OTKRk$Q>cPiw?)K`_~
zY!~WF5rAS_$a$o-jR)}EQS=Sbfda2qi{P)jGi#G{_QIq9UH%GB1O%3MfXH$<R&sR1
zgo$q+D;Nb&1fqcWL2?C^y~e5pr6xhv(4~qS<e!g}x{s%~H+q-f9pOJ7>bvvSe^eM=
z$h>DehlnKR_R1|)B=#R&AVpv^VxF27W*qT~^9K9A<XFSIm+WyI*E0$D+}NxOO*paN
ziwYK;(L`hMY4GVvUdsfs*hoG}B#wlfkr@?6zm0t!0mBlK+2g(wlWOJ*E$877mS1Aw
zn<q)rk9Uw-mk69l9p=%!?G($l5F6>uj=q*QS{i7MvgOmwN@=k3J?<VE&G{s1I}GfO
zk(M8`O=ZONavW?VE&V&BBcy=LBh~NdzKKExFLIRgXZJruR?TU%eS+oaHA`OAG-@vx
zl?QFfuHb;WjXjJd{05(QPF+Yy$}FQ2dK-zG1Fb(*+_$KX(|<4Ba)tY>1{OPb_e91P
zd2=ow0c0ZY)tMu|W?k^YTcodkN6g8EYFv6vd+xuz*v}9nF2q|9qVn6JIW222-<>pM
zWes>I8MW@ubVV}v=^_1Hr{zLT2(i1lcWpy0^I)WrX`iieNoJ?CRg(6^`H!SEr#RE}
zfS5^!@FKUwf0=ubcN%}+xFh`(Vp&hyGX;&_tHU)=|D1lk3F;b@xV;<avCH(}1rsAz
zB6;!XhFVU9nDWFfC+2D-9zllzWOqe~{IzYDSr~@xsQLL+-EE)O!i1~RsSQ{g3vr^i
zlz+9scZ_CPOOiI?P>jTpr`Lgduo3rhkhNxz!kS^5TJ@6;QhVhOX(3%u?b}C^fey61
zSHNb=AK)78Vnw3JKbnVzay|LdSxL4|;^FIzh8L<R)rp!l!A2*RL)?p>u<dPDBo0<9
zHXacni{%!kD6Nb%qj!(D1L^~_6w5VVAN83&)UDLtvUu1|VTvSxR3BZx+%I=`DD63J
z4nZ^%5IEPqEQRWj_g}t;9rfxM*s|e7H$Sz9)a+`<P)iNX&jDd?Y{`mjyw21fH8*23
zF|wN=Qc$>XSv?BACq**C)c)tD4_$ZdCCmQz=fUg9#(PFhzoVdd)i~(cka?8!wRL@l
zm+28NCDP?j$O-pJrTIHaKt27M$#(@EF`JkWplcwBfsd7fO%ZPJ)dVufpA)hBjsD(;
z)-{^`#<Y`Cw$*u+ug!JNPEO}p;`G#LgVxkY_LV{A$}QM77I{~kjuMFBbThnIYQ}N*
zXjpCu;v8%yN(Ykrma837e*te{CuESsS*&ZnwUEA$wa{e=QNY60VNY?TK#|+oJ&l6(
z*lU9Au=$Y|xc8E?znviUJB?!YJgB0#s0&zOgs$_wh{4VBtY)%fi?dR_XnOgreUCq!
zKk@Y~>%a^ff#{DBo!67$)oY~PfioUsY$iP;iSN&*eIvfoFw?;4K3t$#eJvIhSf_Cd
zjOjNvhbG+A{(D);FFM0MLr0kH^`2>uhr{=pvLoWh^+_8gsK=DUX4luizlVW1EpIOM
z?vbb@UBJVQq(zj$TM4CZ2yQO%Bef_<2DcEyzmidcrja_}Vf-L5&b>jm_6szDE`<C_
z>nAEff{hzZ5vvtAoe4V3LhQgVk`)b_9xD9b9A&*wqTeBYO-55t18st2Q$;VIcqhU5
zjGplTtZ5_-Xfd(77S+K+znO=E1}vy6&y&C~hqT5=fg3U#?{S;A;4~U@h_Ia4s)gxy
zZx`6PkWI(Dp6^cKU^~zI=KMpQLf6h>W1VlwKh!Z&$@_Ib7Zzng0UWYM%hp1YEhL=U
zL<~KyOW*a4+&2c+Ygi_&^tmW?(KlUUn;G<vV;ot}C%u~_&TF9U>Y3i?-j3V47a=C9
zcG2BU^5!6sV!#G2r0<5Yc?$dhsiQ89z@Tpjp!A?!u{5u~ph*;><phxg2HU~i@vwv^
zCS(o2PNs+Mk@@n3!}sVXGR3$l7F=Pe?Hh4ZoFUv+Sv+_{0-LO3auk9(F802!TL`Ma
zlV?{@#}&3rY@HBOl=cJM65==Gw?dbk@hrSKtFKVy7isI@{Sn_|r7K|}ptMMfAdQ+J
zEmy4b58b#$$@cCubFMlk;?CsNz};J0);gMaZ`sKbEicdeQ*BdC-Nbj32YL}+&PaGG
z$Yk=PFY2iA`v9ViHqt?5ZC8+z%n9h|gyj^f6g!~-pulBnC&?8cnY}c$pMbN)_h+G2
zHMwN1%0!m)?~jFPL;dq|G4)nNZYpQ+k~5?Qk}!t<*pcfz|I3cNGlEMofJ{ozuskla
zMhHVS8j46Wd8#<0WcHGMtQnxLN0AbF^n;6ajGLOlnY?S&j=D~<^@75b_6dG<l{Fs-
zZ6+fj-&-2P_LK}(Aqt|9wuG=7+lWyP<AS^R=Ggo?H@6TQY*M;+z&+m!hh-;$9`}r|
zVLLh6kY*xg^TiQOMUO)~Q+c;OV-l4RxN=H&-7}k3C<3130H$*nMvg^1WIg&(%P4D{
zaX^7EgaCWSQWCW(M;MV`>MaeVqMEl8vOYh}JwjghwtpO}$SQdo6a+sPg}ektbM)qi
zq0{5E5I*<}`-YG7!g=&VjsJerfXW&SXt+ZtSEDHqK+F^0a9EWG8~Klr23!C()H2cH
zcRwL`{sO1IJC`y*6q{HE1K6t|u7T6X;5lKWLu^HGaDDh8e^s2SFa{B<(uxk0B{cJz
zCB$!N!WgC4v9U$+GZhcySe!X$a521vY1N+u-2lB_v>b$J-5}icTYO@}#!33)+B#Mr
zwzCXo7+HQ4dNH+k=E9p7=bJbpPPh5~AvZ2##o~U!&)=vSx;`Qef*6d5{W@MHpmnzx
zR_*I2&XB19j`|3`fwe<0v%Cjw-Cm*0LEPY4TWFG(zc!ZJZ((Q_gvL@$5@615okX(u
z&jiB86|%lD;0E{a&#SJKHfa{OHt$DXMS@9ZFfvnP%Vv~G5vYo_7)?os=VQmFI5h{g
zbWTdND2gk+xJeYMW+j=BOhvQvH~O}?v?BZU=vNHz=a-64)51_256DP|6;zc~Pf93U
zp7~3iaP0bB!cv=$iKAMQvL;Cv&2$+>m+{@JA!l1-^~LPJjHcS%KC|!f=L>})jB@R}
z_Y^$N-yTDtFz-T~5Z?cBUJ81Qn~FH<GB$hR(456<>kLMzbHGRkY9NwO!O`xao}(7=
zoG_x5NB^S~iEUzMZ*3NaHu<<d;1oCtBW4MVUT*Mh!WpXi<fC+zLBUX=z!?py_guvr
z)pV~E=PR!#&ZNbef|@B$)TTusL^aZZdmcwK_KRO?QWnK0{u^MFdk9T(5(>Qvy=8l;
zV<klVgBR)wbPD-m1oXO5Gg<`XaT`w8Z`D5k-KV)^SM!T^J)#EhH8;t%O&=uGJuMuv
zNkTfKW?mb=9_l0gl2O96frvHeZA8>QL1+rxsrR-K7n|+((4-eRZM^>o(^uk0w;|VU
z0HN0l-t>vfAIzpFlTB;nqAIuM>wf?ysga$0=!b5$;^VwgW`Y}wv6&RpiT7(E*xTd8
z=?8-={$VQKHHqk5B9g@;V~EEwBb^c8G}krjqqtPPQfMp$ac5~X_RsoeQ~Xx=enwd2
zkVa(-&?EQ2922V*pXa*>e}VxdN9qd45br5$8_n0RdlNR+6Ueei#`LynaiYvkVqn#A
zb5&twD;xeqCp!K7wGn6{kODF`13GRYJ@-di28p2239UN2Gg(m&q$2w`EOBH*=@!(Z
z#R4e@psVP>Wgu8B3WUHoXKB2s!j@uwmVapjNO%hrxdOBkQf*gG7iI^m9asg@b4G|-
zcokv9MBQ7$+3h$=DMDF$Z^fc-XaUlAJ5`%}c|DO_MFoY`-d(1uK#Y9VrX6ARPuqi+
zuy1_$6%44Ahs@05%n=WXchcQU{xuJ39(rNFtcCc=ff;uU=sV=4AAu*3=?(8mUk|#p
z_n(={{5TsckZS$7>ZU@nCt=GMDZ6f(zJ1AO;3Q}g8ZV=oK$;!^axgYO<k#6ibSwlU
zw5V-|OzI2d;72#ETL0qCGt}@tmBbeJ^v0ds$v@o|th__&tgn?}2H^#Sq$IE)to!*M
zw=4M$`Rym)!{47+mRqjkxfQOKZE2VH=*Kvcg5d}94<a_2Gqn0{<oLag->4Z1y{%y$
z%=?6lno;F5En3u=Uz>+sZt`l>9!+Qk=U|am<HYPxFVwM2l}QIHX*7i}z@bCDxjd|J
zyDM452@p-=t(4A)$Y+rSmmd6HZUBFT^N@U@p#+m5xQXe0Al#S#TC1k0LqDCyy_)3`
zZjIRPPlXI^tH7nn*P1z(Wd59@rF2h~MiC?kgDsS~ZP^aLPhNxzqdA^re-P3ttwCQ^
z0~WG=({@{Ats8SU39xc5n<h~D=}Lt)+Ox>!4wLrk6mQ(_yH~8@Df?1<k3@JvkwkX4
zV@82RB0FPY`m&W|U;q7yy>#mgJ7=UzZZvub%gSN3>z|s0qK2RqXIv}(Bjn?K{o4|)
zYOu)9nwS7c#KD@6yME4Gp6s=_DKh40cV;U9_#W}MCK<36LI^k@lsSd~67P3uk}=U^
zgzKd!5o=#O=kkm=Dv|jWL~`)=YN3JNDX)HI>d4|1cKcHWFNt!^j2GPr%&^g#OToX?
zl2(h~gm5BYNFLm687uKGUZ~>GIv&I~0Af@NUJ=pv0*R(CL%YZkx+^jSXTyVo5UQL;
z2qR4<8(i9OQmVlR%72XpMD`IK?T`T-BsjI+^8IF2k@nB(G}4X>{^QL^77d~l2#?EJ
z-a?WIbD8aeRPp#A&Ux$*gK4oohdEbqCUJ8iPO^s!Dl0LWEWmHqz2Goo>*1retb;TF
z!xdLQ40{wBq-_O9(@Y9mK3G9|Lz-;gl8%q)T`+GA^*FVR47z~QA1g<)Q;G7iNsR-f
z5rJUX#p_SLfiyL(?TW47G?_+5<|+IxoE@7@Ya_DFMxWouL@|Pe%r%+pMn7zIdynsQ
zHFV7W4=6RWtS)2oSkynxxc=rAzv_MD8-i0LkNlvXxBjBO@CJsLg?A;E-nmodvObDe
z{vr3%>+)-*mx<qGU=z=)59wa9ijApkz%uiaWW9rc{CjGPUt`Lt%J&t5`E2Fr1u(Z@
zrG#pT7$^tTCd6M#=@Zntpw#YKuwbKgsbaOXiE8~_RZg7^Rt~g1$av42A@E&w^$94B
z_5xJ9+SmL-u+^e=p~wlpiYi#+Tp{|!;?Rnaebrgc;@~>B<>-69gO;Kq)Kb`}Wcl+Z
z+TZg(KQuf{*xS*iTeIbPb6iM!`_}1siCtI(?n(@DP*!}$yw7&i%Vi1*3fxm_2^##=
zvvF~8wx3@uO7K#K*=qHQ&g0WntJ{VXOT1XatSQpa-&U}A!Rw(6fXk24pQN2*KI)oh
z(@Op4n$me%8N9(aoOMaGQkRy#){rK*sH7ntOMNFfIeF-3LPYz}(9m$5&N;?eS=0lT
zL!-1KSUGdCAJdwApt#!fIi7JyTc^K0T3VV?ROghNTh?&D%j9>-2_dW71%`b;n9f%@
zOj<Lxr{;;B6qTRr$B-&XeaxtqVsZKM<uvD?XV4p!A=9kB_bgoKxX|~SnH!w(?AbG+
z3j?|wEpJ}GK4igPTM!@78<+DxYeoCd?$jyE^hT?7^zZo&28r`mu@-5+dj0xnXnCl3
zZonh+d<%K`(%mD}N6+;0&4o%2caO(1tUsYvS_D9)SR+>Ip@JWGkXYD`lLAnY`7}BJ
zPu4SQNO?*<y0<nP<7hSq8%Xf1&qPn|CbTofQGeV5p`{Nm8SeMo`5!jwc!z}WjYgtz
zVHnq-0??rhPtq#Ghpe}@iq<>ui5lm!oYzLJbuU^CauW>-+p;b^9njMJNulU;`||kZ
zO`leoNK`jFZ};(q+}ETV#*Cs@3i+BW_A@Y(2Q(~PN_Vw*d~&i3cxUI-VBy9qSFSv7
z-k}nH!?Gny1rr~v;fl3Nx#fWUH*Yj^>MBl|4~Lo?)c)tT{IhbRVdAC{71j~jS1I>?
zElP<lEtU7{u39#{^W?>OOg&g7mikqC9Y3>vtkz*<H39Ppn!|ATH?k~#YisK>_2(TN
z9$+Ifom%D<F4BAnN`y#Y8M2zC*w#v!4qx8TF`{f-w?m^sQ^yib&xlcJh(-5)wYS9%
zWtxnR2dY5}#;qL6H*em>ndB!TZd=4JrYi-Dc)l~FWi8iZr`wL8(w`l>GP^A`HFa$M
zfts0fbrO^!{q*EOooL4dKCS#;tv?mBT~5kQUsRG!78l@&TgXGc*o}jobK!<4>t`!j
z#58ervVvPv4mG=G2<auMJY;_qFB8oB#Ng#kFQ%1$F@ssurf5@`Wn)@Ut-g&-%JR*7
zO3xCwc6ZZ%y3YPux|rklZroTXF}gW}NB6WXFO$>jGlyk@W*RFW2`6Oc6ciLx)@-x5
zs4HpjseIAMNU>u#&bX21Gae*8yXzL}-1YMEg68i1QkGpAjZyRzl~e2>Y=!H#o{T;I
zQqzK9%8K}-T-&#oYMw}J5_O$Sr)r~VWsk^cg)i4VQ4VEg<x~?E7M9aqHI<?CL#08x
zV=^~O&WuMOy6*LT^e8@wFdCFk?P@!XkrHw8@%0(JWILj5cqd~eC1qRfvc+Yu3TnB|
zxxJ{{Zzo+@o^WqvY5xu5q`B*?E<(_D&9S35HIZhhVp9nmaO~U3ofP+BmGC}(A)zXH
zcSi>YVeZK|cPZ4&{=Dk(@}Oiqy%}0-jI%tlRwr_IxFQaaQ@}Wn)!cF=s|4RR<xqcg
zE|lY_aR~?<^Y!(8)7q++mzU?Ea4FliONjdyqzK1w8}XBjcjLw>>Nquai1rkJ7X7cE
z<Sy*v))zSZHmLPj?fiK?p@p`)^>58w(i{ydWPdO`Q64zj#VMyD`273)uXo(tsovfU
zl9G~s-3TM>nGz!V-)_rKO?@!5@8YjmntPExh~!N}qobKlqBrQJz<XRri6vc^Y;bP4
z>CT;{9Zs8tE$aM%)>8p3ZGX?l$$8i^C}~Vk90kZj^bVDSkutYrPIwJ?%A;Fw<lLKg
zp8Y$?H!Jl5=D$n_<Hl}Z-)`n|t95oCr6^+k^7nlACe<I-Z)Ej%?H*}eFxwHfv`575
zg;KAog6-rG3$077;lLRgslio&!NKsfsTBPo$@?h+c}U6s>l_z7Z?Y39>wCGwm;d=f
zlToF;Y?1YS`L+_h_lHvH=~Y-Od$n#pVK9!xhV|>t%ll>J-PO}Gq2!tt{dVL~{dnYF
zk<6VEI9^q$MsnG%Q<+o?fSDG$5%=hSYGM}EZ{TWa_C2aWut105S5Ht=8E(@&;J~t1
zENbJq>g>T-WJ3gS!j%LxmT^%Y9;#>v&y7PPl~wJ}g%>ScSPJ5%6U}ixAklRcJ+Ypf
z4zfeulwH?tE9Z|(lZS_A)urW>PZJv`eLnfq?REMF-I&pNZ1M6<HiB%OpKZMNn1wB%
z1aA1$!Cswv(r0zTY{2^40v1g1Yfqk2=r+skoO;N6q_L&vwj+&Ev1DRr|7*Ma=VwRW
zn)&SPwe$-m&P&N}9@%w}z4WZRyE}Jfc6N`BZ2!Q(%)i%#QCtEc6%!m!Vz->ldCG)<
zRM++pim`Gy+?jxPt7K*fKYaLbDR3oDh&NRu<yS|{)`ef&iVDn3gNb+PRv{r(zN6EZ
zn!hYgGn*Z-zf@T_ibSUj;3NBzmCPTiW+0*>mn+&X!sOvDn_gpcxVKyXCVOk4PxAZr
z+mug<P6dl7p%$zolXWbvfJ;g&mY$f$-fOgR<Hk5lVg*Wi_{alZF6_03MMY8_8IQcY
zly8l)QY<}h2j9E&F~_5GRR!N#5y?$~mI|w1tcmJQ6dyKe7OKipTlpt_xtM*{`oC21
zUyJsrFH=fhe&pI!<@F51HplPetSnvHbCdF|Wu16_rXSAm1~CD)gZ1NL&ssg0!vG~x
zA<8)#dNNpFKr=-OK`J_F75wIft{thl^$4tE)NhovXEGl8`fhE0aqc0IL}mJQ+YN8<
z>K0tm3JJQ%Y}c9c&U482YlYdb%GFLTE===SKns7=IJ9Uo4<z84^(Hg3bC=Yr9H*gh
zKCQIQt5OUjW9eRcdU~Ey%RhhqJdBXL>FQRvYXq#}f-9{2(s}F@!)q5=T%)YnC!!DS
z8?vvyAh=UvpL*M5Pl{6G21mh8nk3H9fZ1sAf5dTrErXk1wiCxOfwrBJPa=-YxWz!c
zbLjX|A=Qh){Rux7>Q!0jn2J)Xopc$lJ{xk@&1DppSi9|*Kbo{6T}aO)H!i*Uy4yG%
zM{d%uH%8x$c8R2fgg#WCoKR2rU}0oJwBl5w-fVclr=`m5o|~HsUPuiMh0#eRXwLCu
zU^ZP<NIU$BIyv@nk<rl-3=F=bV{UGgM%b&7b`cS#H*}QDXJ$RjLJ6kp>B{<^X1pIi
z8UqC3isI?AD`C~NFCTp^a)vf{C`A!b3I*(jY}j%(Y^~i}EBDva{`IrX;oM5upjO$T
zJ}u6ow;e(ArCC<es|0W9D(y9K40GGo_4zaV`Sa(!#2$u(BwDdmTj-2XH;6rB?RBwn
zaL90Kee3BW>rsgcu8UA{V~=o0P%*tIHfa^~vN@@#XD;IUj|7^bnyfD#hsLuTH*Uyd
z@Nw!sQ#Cbz-TaH{(0_8F_<n$pATKTbilbSj9^-cO(OGf=$j6Q7L3v{ohq$=j#!Nl}
z&8mRnalo~&yW8}VSHRc7LBRtT2GZk%mCYZYz+q)&`efvV;?9VQ3k<3F3B{?C&vbpr
zt_3?0g}xhYb5Z&c=8(+P<TaZ%o!$Leo$^Wk&*_WSZ*K}l>D)3kHI37E`6FIVBtRp^
zh65Cv<y}9=%fm0%n*4aRV7OA)b&U5RYYyk<y<d!_V}`%XesH-=Thr#^+zIlF(CI}t
zgM*2`?=UXc=9<WfboZa}=af$WZ@Bvu%eQ)sYLe6wt$FNbOX;sB-Mqoc#buTd92gjA
z9cKBmWAbUq+v@7-cq6~n9nT&6wZSOnVskvolU-!~8(M^>NiqU7l8GU_t{~O|T_IK+
zn>tl4UAn}n94aPT`Ua*`9!1_L#i%H_jf4VaZr;es&9zu2sp2YJ+rBMoGG?XX2`h~_
z)vl{6ly^Vs^}2t>E>n71H(rW<WOv+k`a+eLdw91;O5dc%(%qd}@TBJFz57>;@QCN;
z6>aY8na#{>*?R)@_o!6q6Z)kptc9=}T6lxvwy0}#EMUSlp4zOqiaL72r>VqoF#D{t
z*`)QvQ$-n`O(9xy<$+t*+z_xLK0wWWU||(3Efcl+V~e>ye*8Elv2y9sofcbfBqs~v
zjQ`JvIiM-sYOHbg-OI}w>VwPZoa@}Y_bj|w)RbmS-MVYnE-x|Df&I6CMb>Bb`tdvI
zO4f`$iAeThx?pj?5`LGS6z^a2jcOhRf(R2!8H(kCc0m_rwid&efC!qvpN&BM;_A6L
zo)1BoC_+yi1*L>7bkK78V}NcH0eDAZ&wsIuKbb55x1s7u-5-0thp1g))_W+R_olK^
z8BqeEk7vWVS&;j(o2Y=RxKJ-=I!%#h`J{x2w!a|o?{BW}b)83%dstk3l-nV0dqjPx
z_aYa8vk4JxG2ey6)k-e#3JTLNHiL00J}Jvle&G{1`|8!ZcS}ch-qyD9dGyFU^&cB(
z^1sQ)#u$6F(^e@@%gR`loqb{f-x>zrTTd7?PZ%0Lq1xOC-h0kGAz1&L+n*I0@2m)_
z{^G#8vD7eWsIl-$Ax2F|547x>4$(jX3R9*aCnu+~J+Dze8)NV(cjeU7R5|LS$iwby
zDs>OJu7X$kUTImie7QwOKvyc>XAw8wJx`?WOMk!Bjo4U*K#w}K#zaWIe*z?3c6%8r
z96>rdx((+HGA6K(OEF-_gGNQVnXcWqaV)tKNbyl#HSqoO-4<I52n?Tp?yJhS{W&yy
zS&?nEyDRo~_?Z;tO%E&l^sRcT$|5d9d+ZILPY0c${px>zFyzmzJd7*Pow?vkcfWP2
zoA>SO(rUSG$6!CjT`40gYo5TgdiBu1lZ3j>tn2SUq+*0TVwdw#G!b+G#aPeE%4#(Y
zurW<H*YRB^#+r9Of=g;NDkRL%VfO15)Xic;=E-2H28HMH_7=5TbOXnV`a$1O`o?{2
z#-i%T$jDNNDz*}_`&{)XdL5!HNd}?#PU`D3!;~jFFM20Brv%m)zkRK)<Jno0J4}s_
z7!GsT#wl}hGcAx6S>Cwuzt2ef?}nh(?(lb{_>;P~<VGa>_Jwuc9C9oDy3souo@9N|
zDyDv$1xfUb%lxUm9d;ALCVt&&S1=mza18PvMF{w-SL{%Ex*3i0Ymr}DP0JrWDlEN5
zDeh!)D0aoG(<3lw<3azIu=5N`#{3tbW1a(!avu#la6(N_y`3?REfj-B&#qX!dG{F)
za#tOjdQS7$`|31aa3|+n$KYV)llgAzYj!+3y5UzG_rB@8^tzyl?tRX#)PvcN0~1ln
z;Pa_*?t=I~PiZJubEbjzHjjPuuF#$@UB$3&ek=V3zO%zEP<^M@c(}X!APJE?5tc|T
zFW=Exv_`MPPd^vM$QqPaAG?s^RiTUBe(HGaadu!s*B35Xa_`uZRV@BLe%SbRgX6Ng
zSFe=(4rX@~*r>&faaWc>7f6z@ggW&R@{n2xTuNvg7r^VU(=Y;!ISisw;mDD@nVV_f
z{2ls@0>7ocg-^Pu`A>|6%%dnrYdRWe)g<Tmzk96y-P=myyk1Ua3&%<8lAj;QSGaki
zuKhpHir*-@A962;<D}8r3Udy>JHNB~Ju+$6om9-P`TGEcMn!$?Xv%ot&7i}~`q;>>
zt86_7TPLtX?qrM+^#XeEap{haR(PApg>!Qirzc1F^-pB<eEmAA<Z5e=T%juW!a1D9
z)Fb(TpqTJ@rZF?EaZkLr%G^Dh0D-0|>GbB};Ze|`y+xZn>v`3(#>SL_YFbbGSkyl=
zG4!GoO&FJd;d$<&@t`Cs%_7O}_mM>V(9OJZ0>x*OXm^(rM34Wkr=v9Z0IYat{kpYQ
z=2b+;o6QJ@0$fM@cRCAjbIX>O+=4;57u7B_G}IUEt*N(%pcRb_c+}&mjO#d~#^cT%
zZz3aaZQ^A<jjgNtL~35@Ex51+iJgQ^1TOP?#TM~WcZE#K0>x%=eBF1S=)g7)v!B(|
zyheZ34CK%}_A$DZD+91+<*`N5J*Ob>>jLTLn<e`FcRMX|_q9gMR}wTR;KTJ^<~>7k
zdp>M?;la86{(dKW*HvkEPbMww*=6UIDCwwfK`Zl${Qf;C`CkuSbiYr6$;6S#ohR<}
z(S<jqZqu*ll}G!RQmCZOC%0mYf%Zbl)*nmu?%kWZ9(ydkw*eXWugRZ@q{>Cy@kOQ8
z+$lV7-aJ`1w`bnIa_$};N_$fdKg7Gkh7Y;<@Zm#R2^Z@j000qV^GFenT{*fP$g>cH
z7tVlh(`y?tEFKap#7Up_%|#|7RroSEIGbEK3qW)E7K&z&Vzkom#p$g=IY$}KUl5)S
zy`BBV??jg;*KOn8(cQLV1A2do4CPz@H~!H6(gROL`sp%IX2`N_Ul{Q9`}Z9L3vs>-
zHflq1wrM4cUpEj2&df*@z}%H_l<QDHXs5T~NOeLVqrnu03{e62L-h)76-f^4v<LWu
z?!r+URT(yIicPXcMoG0pw$Rku6pSxW^kNZDzd4DmF9$@5YombfhpGbc+v$*BX~5(v
zJgEc_sWDW=JrWyfDf8i$*48MHJF6_$B+p1V^s3!jLJ^Wr7|u4nIL7;Bu>V=c`z+7d
zQn?+o0dM@({y-=_|9>y`ScqpH2g<Nw{nhK{E5dEyKGhCcYueeQ@o}d{EI0KhBI8<}
zWpsdBQ=7&k>-7O7R<Gc9)<&*f1(3m>b=62d^z7PbgXd;U{dnf$XYQOgB_$GguPRTa
zZ+h&c8+jgg{bE7jZqxfWZr(IAYuAr63;=?mfKn{I_P9~oi*p7XSv1cH!zMWIdAO-_
z!MVO93`vR~L^ZoCDc%R;J6CzjOvfueH54D?ujZ3<QkZ<#x^3@3!=TH3^4<&wm(tPJ
zhxQWx^+U?qr=}5a+Q{RX6Y$gy=uyg9w%3qAdU(#V%2-9h9ArT%7vL*Z*wOlR!z$&%
zy*kBY@%2x_CynS3N2@ZebSBV*rKI1{)5C+zN^xwep2zC?J303|cRpy0;phQiGhM%C
z&FLEo<5N=>W|Fvgz_baz^<u5BD#*7zf8GbmjFWJch)pU1N=aUz2Wjf0L~?B3E|1wP
zI@$1r$)D2c9fZ0&AVl>1wbTV}%Y6ku$bB7)<3>7Vp7eZ7H{CvT1Fz{;Yl}bk)1JB9
z>R*pL_shOF)=QSsso+}TIwXx*?kvs%?Cb|Ifap}JHukHC^E1_`Bfd~XqzWUE-R*3R
zdW8Fsa%df34r9D<?n(@4tl8?|>*v=+6l#0D4^NAsx;+fnAx=gvFb3R}fJfC-RaN=)
zPk4HoPiakdR?J_pAPN?9YnYi6qg+Qc6T0tXo|y%C-=3z>3JKz>+dcE_kiC8S>ceRl
z2KD*-$t~-~fi~=ikVE{u`otTkZ%08{&~8(q92d%`^xt`{Cd1_qB8{TNw7=`#x$h@X
zeW<H4MgGsWo|VN2WKr*wloXe9ng3@IkWliO_kRd|{_)FptVEQ^__>y>RO(OMq%Y(j
z2L^7M09AZ6bg(HSp&=YG$vq+AJ4a=4Ny+9@n*&lXwTuQoeOOt$$}TE8dNb2W0iDc>
zPT^jc$9vC(g2y}}q>AhOXlU;Fj$3_g`ORO1G3kd36OZ>e7hv-6hUA{@zkmPs2ulJp
za&~HZ8XZIo8beE=+4ZlKn5yXf>7QNmvkHnq{JoYR|KwEHKualr8(~>WpKbH`np*7f
zgJ&v3AAf9JK#A!Z=-nEYxt(WFn3wzFX~)^`XD+2J4}4(|(6_8!6S_ytqTETij)Q=Y
zrEpA*l!T6fV)!=j|5%!ol<L(lxP~3W4|(o5$ewb8Mf_r**b7h|_be-Bp{m*RbaS-y
zP5^9MGq<Cwyb6=`{JIO#3-7`t^=NI|)23ZAwX5jpR@=caMIKxI+;Cn~k*bw>W44_s
z^(^}8mB)S~J>=K7BXfB|lTl9>TkQA69+F27E7?I!=83p9U{>}t$<?JcQeiE@=bfCL
z&CDcs?NWgpPaIacQ2{hwr>HINlk9p*!a#lt>$>oPn<G8dZ?j@jY(7gX96R>@+q3y@
z)hd;5^UXJS59-IWwGCXn=J>!r_d-{7tz1_^yR!U|c;`W)?LsB!(Y#iF2_@weG<N|Q
zxllVkg$uS5zS<?6bpYH=?Ca-N%kn*(IXsKh9av?yKx6*^H#rrBgvX(yY9phg8<1pD
zF`RmxfUYLKb{onhkq!Ov#VvDRJolrNY=bLz8T%3m{_VyZmAt+j385=qeQv<5Z)(|h
z1-Oe`DC>UvSp2J9LCr9r%<*6mZ|a=DR#YI8QjL5F*wPRc<U$Wz8c(SR71u#0?MOvG
z<Rq<u_e{$`eDZv~h*=6iZFqY0e*(-39&y!F#ZzzrO0b16!H=DtH~opc&(;lb7k-bQ
z$HBT!{TVNaFG!W=my7=D<v7^Z+OSEOk55U_6Sxrk*{(rZvaDqBmGNW<@s9x%G8Qw4
z%`OOte&vCJmkXt8i4k#vp*VSK?~NNsij`t;5L8IYP)pWPKU)fy^e99?A)8N9aT-aF
zY7(_hAj#c6Gc!~2)b5=LR6EYG6sg0#8&~-_yT+G!-(1pJ_HLn-k&sLMzI_`VbY`lb
zg&2<-AEjN6-`*q$P*Us=X;38lE>W%H*t*q&`V5UeLfpP{k`~SDkNTWJ?lk6JNDh&3
zZ5kg}K?TMJrDbZ<_3#a<0}ZK%M66r3Bd7^YUYO1Imvi^@6uys~nQq032dJhug`IrK
zPR=A0QSz`tC=SJYuM|y;!xSN?9X2M^{X4<6;moa+xfii@`@*lsnN}CT#)bR!b`bQd
zjQn0hj3ahp%6!4$jMU!|vG3NXH(cMR=H^bne5c8qJFAC*vr5=aVGD_T9oQn~^uwpS
zwxKrJzyN}>u^Ou|aTk%+!9sL>SEZafwCncd%v(>UhXY_^J$zs+@1A6X7y@uMxbMZI
zx8vy1r=mtLe*5-qqPBTKMEnC^-_ygJ9rQ=&yt+SsK2_lWY&>q4pvIDstb~cA-ga)U
z@>%~KC*NzbPQ$-)vqhA{I9gRbJ+0MONYhGKa5E{VVfR81tTgOMmxJuRS-|2f+wvMk
z6A#v2ZqYtYvEk;jGk#D!ZC>gvv!t_>t9(g+bfc}1bk4gL{`L!T+p~Y?Wz3O#rgFHM
z8+MJ9Q1N(N`zPD|rhw0Of}jjQ589@4Ip36Y=BTXqJQxtZw58#>sn<|9n%lb2{HVNc
z-O~e{oVW%qBN$I$<%~&y+Gr}tU;7@K0*^zjcDRbpMJfdeo%X_cG4b#bhJROc{K&u0
zAG1PlYi?S%rN5}qHEF~9C-t3Wpnp8D56TygN@8<I0CJ-fGciN(T4H3{8vWw@Y4BXd
zb#V-y$j^s-y2Hc62_jgs*bBL<a?2TG<H#Wg^VieAdLJEnSIq<qzMT5lpS<7R)a60_
zh#`av{XTCYX$zF%rAUrAk-k={9ZC}HZ%B<`mblc=DGd5p*5F4c$>IPJmTYcAv%X^a
zhnu%<ZN`$fGaO`}jR=iFvTuFEDOR{@KaPE~Q`;oe6`EIQrOc{qAkCO8*|xOx=(3Y}
zlEy0i&Wk9eqK%itO&pWshhL@@8n>oeH1&pLT~yq!yh8YzbXnJEwFYguLxL1#FCb3z
z;ofE6b}R%qD2l{#v|#dOuI8pKp3O0!)+N$%84X(e-Ye<peNlNTLh9(bC=YSUIoyrG
z0<&U0fsSsv$Bo}l=r1Tm3vnbeijps1YHHN@h5!8$-1fvgYxVthKw+gMo7q8jl#ZtM
zCk;)-#Kk?O7N1zNc5M`@a#TA0+sp+4LL)`mj-|gzwLt9b1evwQ1p<-<97?bJAp}u?
zkf;m7TjiQIxL#T5hUvRqqt}WxC@c_50G?fjF7)dBGmz#B!R9tq2FH8PD+`vr-DDtF
z8nk3F)&@6o0CA|`N(dZqh+h>i=(L|#Hws!6eEaLI4qf>1>7W*l4(GOQ773@kY`fp{
zBbWEXu{28{_Ldx+hZkkg9`B7NN8G^m2isMo2@H3mEMCfc$}7Ey!2;BHbzZBUiRIg2
zp(mMbQw2UR))JN@?d#wUF&c0F<ZAGJ*?E*n^qP;RuH8G>{>Bb-lc5H7G5UFo_LsZG
z5I@XvbWxq!d);y9i%i0zXl^bpDnXo{)S;_TAum5aNfmyN|9sw?jy0Y=zX5Cf{Gx^r
zvsS)P&VdvTf>YxDphD9Nk%jqgr}e*g0rBCuL}rr7W|dBF-MZBnX^ianTX;)WCB=xO
zR{C(<ZdfKPfGk94!j+_X<VHpBvp0^XA__AWM)N1H4%9sT`XR_y&_Ke^>$P7N+VqVU
zh=_@adCU+B$e!fdWB_30uM9%1{l;wr8imoX9xi@Iz<6_Dw5m`^KGX@Qey_^uGi}(w
zjqSDTm9_MtL##RmH?PM^d}_?f%92MTwP&|GZs@a&vLl1XZf=S@zGY;$=PW!jgf71)
zxCep$0#2zMJb*c7w_rOUi)iuc1IaCIwD(%Kc;hf`O7^RICB?#(Zx?VFH<MT>sT0p!
z4_9R?m6OnNQ1d-8A||(uGp6i-;;QoO(gQ*%#}0-@kb<J<8YwIetYc!bu-ref=iDPw
zs==&k2Namsc4?^{Rho+rPE~ZF?^C>w^UJ>n>wdnS6I2_}tE~`?yM!mt0$KMg?m`kV
zU4M=AQ~v!aTH_ezX&Zl4?I8Q1D-wKmF6t()*~K0Z5FEN<V;nH<WR>9QghN)P2H}V4
zQ1pw;7X%V(d}F5=wMl%vP`HS4`ipE^bF0%pNj!ybdxgKEhidpNbMGW>pv}SE2@dGW
z{^@mCMtmlFJ0zR3kBf?mOa~I^?G=t5Jvz3zwjO6m&wlr|r6mA?(Tle+4p#8HZuKZk
zWvc;V<3#>fvMD}HPIv%r<PQLvN}jheFfbqh>&GR5FLw2SiauMhsx{rrFW{-#!CkP~
z0pyT#=i$cBnr1b2mFS@8L`vxo4$Pc!3L@^!pH<_JNlCc{&|oLSatseL=~HkR|8c5=
z<<0cGEo1E*99at}mM4Pgv$>Sryz&ar27G7tmOiUzbiv9Bns2P2O5qu@x2yegtI>gA
zH8e#v;z3P?W9a4R<dbIoxW-83MhaJ_*}3($eEi5m8wZ`}WiZrFF<v9d+*YL>yt(J1
z$5@5@)U#sZ*oHnx21)@=2#?SX>|ZbIJ@3eXUZb6WcF4P#pL;oZx}G^@O`kK`|LJ^<
z><j`*Fl6phK<mdEyy-ILeW~tkFDxVm7>*N$YRUR~aGw)E?&3Q>K5n1v>EW^Ge$3PP
zD^ZoPBk$P#Jm!7`n2R(B`_1YSgAU6{Hrh=fuk`59igWhqZ9j<66qdb0Oms|bQGRUq
zL-5vT86N@Tr$Xr-iJU8O*7e&y8S(a+_Sxw$l3SNIupV$!!srW&ijD7~$@sI}3Fulf
zPkgMF>{@+Is_NB2mX(X0eGT;}ZX@bcR<>nR>JMKo8!Znim0NN{=T&c^fTGi{EfWJ#
z^lSVZPt4IEHXDG8xjk;oIv)`td8I8;gh*O~fG%U8ngZ@jtJH$ITD&0*oZb;YCxAEw
zd?C8nHu(tQgz2{ShkQ&>=2*zNb?d9n5%cqB04tL@1g9(2KJ=jnA?#!8UyDwDE}FeC
z+{^Fou4tPx6zgAU(4t4T^kwzWpFekhJ?MZ8c4=bDx{O_4FiN%yb^1&_xBF-$h%_+1
z8_ZzKf@Fw#y8mn0gYrNNIjPb@%n3g<I?!s7`2CWulV>);b6_sww~kj$-eQYsq_iXM
zF_Lj;i^!_avS7$O4|<Cku;uT)IG2oa8sZ&^)zCTxp%4t%Y~G(qPah<De(S6w`Cdgm
z@vxh(daQ!ZV%3%R&CNQ{6mk=E@Rh=Ia6QPu-#-amKw$}x{2;gCSCYWFX?uCc$L>`k
zQcGSNbw-&z6^aArwE2~|68Y<PE+Knc4%`GUp%3MCkbnz8zeBb#6ibcIwsF$1N;i*~
z0sdIJQ1y7VUH6F)1ZB;e4Y5<K(6(n17r8ST)i@1t+8OZ}Uablt(%Iqt>SPe}m!2Lo
z4O+fU{yp+xd-rU&&#}FmCg!^uD^1xZy1d$bf~hZ|=q~H!@q?I!%8`wdS1Te;L@H#D
znJ=jqR<3nKYr#CD_sy^#cxOF`ZomNWpy0dj$V_(MQ9CPl_H68G=^tqEE5)AXYr33i
z*+{z-pfx|LtEb1`Br+3&Fk8Z`lHp@+ZXREJ`zvsjl1YR0>%v9!imzm6WtBowern;(
z*ei$j$6oP+75GCun+9s1*K?P>Q*Wr&qx7BLQ?Cz#Q;Y-@fhi?RkQdw^YFbV)%>9EV
zbk1HrARyVls$Qe}i>Fi1e%BY5s-K3`@IN~GXLsATSS_F&Sk1`DgNEXiv%%oRWPPVd
zBD-tX$8h{V@_8G@?F?Uc&HWb!_=pRZG2)agTMzolO(1t1Ms|AS`0?Yi7fw9ddrkn@
z&I3fMcYOfCVH@Csvn!7gKu7i0vakrix;#_<KkF|=C%(4Je%?QUe20zOgf$Fe0?-;L
zN1W?S=~Ip~6)Qj9ua4l>xf6VBjZ>`i6%w*VTrM>k(mCW$?jIS6-!fl1)UrbD!%Ogj
zq)JrHb+mf^%DbjMUW7>95M6eEwOPXuZUDMJ5@+<w*RRo0)8D?G<=B3B(XCG}!^RMy
z8G{>on*uf7xwGs!>phf51DEgj;hgOp2#TxM9$RuFwlE<AIh5^ir^3WQ?jR8zE+jXE
z%>@S^WgUP2Q=WIrpSL?-&TDq(5pw!GFNo>lK-(Z3n{c$NKkoj%kYcF9TV#Yh1ggF#
zCdRd$ols{nF}XCoS{zFL6s0ILR>}k5zWf7T^?@xYCr>AkV?|O1?$BOB78&ibgYlD+
z{%*UkN|+7h7BETs!aqOQ2q^HxrFHA3i!Pfl{p1itb^lV6c_Rg7{N8&kM3mjf$7c;f
z{lXoPH6B3~9)-fQL^m5PFq_%gbI5R4#vFGIKxAF8`}U2E-L94En3Sr}3C@)ZMYMHW
z9uJf^tHHNXkp|#KDP1am-0l~k+^tuyUe%sd1J-}LO|t^m0=hcRG54Atf9KNj;#?S!
zqS(&-b|%30u2Hk^N5qjKhbar+-epj5NfmuK9j0p2eJKKajMnjMtL0o66hN5WTQ^VV
z(M5gLpDOArM)GdVsxZ~YcSqpOXhPA(C$R^Wv+Sq$MDqc&B;#-7QWlK_I3xMvytdSx
z$>%^4WV7P-y^N-~c|?R3y3|z&PR!3Y`Br&FL09!|!2Y-kG6lLW(yyMi2doMX*g5|Q
zZ8eqe13OPyU@qN{qnuuMygy;@84Q88Qu;sxp(ygtktyeHCdNYM$tu`!NHsmtmh;=E
z`_Q37o-(<7d2@eo?%lX$-`CCIxv*x$vdze1>C&r^b6U%0-Q54<9Pf_^WK1RVzN^@+
z05^7yIYp4j+|ZR-hE5d^LpsG1^Tg44;tR=d<I>wNXAyskmeLd9y2tsn^v+IWBB|#B
zCj;}@qPa^#6!XCg#>S>zOQ~)D3MCjBO0(pL^bkW(d(5Nd`c6{MT0H7COos|=_OZIk
zl{oMTYUQ{5scPj8)oi6S%**I8c3;DlUauf8?+wLaDco2DczE8Y+RQ!ACoOD`^3H7h
zLuJq!Y|@?k?YSQV`F|<-pYYf^kDWqs@jr0Ex~DalG~LQHH?@O9D8tR2k$$cci3u+e
zP}0z3gLg{+&k-%^yYU0$uMzbH<hkUURLysmks(6L4h&fSSV_4bet4yUR!bp`t+RM6
z`8quE`>$48fwJMN1?0;<#nMvQPyPM;z<C3}gllu1nuas8KW+y_C>cg+PymH8dZaaB
z=*N$p&NCPnuF?OWZZqa;#D*{5$g(v&hnf-Juvccv-N;BztrWwn%t$yCr$!Ui;#6ht
z$c^?jX4D=($ce!I0EM9ytuQQV3Xh1G9oYxA$n0bIqE(A2qJi*6H*u_tuZm1Ba5;Mf
z`JJ<wc5L51rl>hqRTN%Ul%iv?Hr{BDQy};utQwlWKSu5mnC>{*r`11KlR>TrDJ#Id
z^3DlD%VZGM{@))Pu^|N>+fT1noHxehL}5M%Rl(|YG_-o!-+!G}nz1|cetUWH?Mq#q
zFXTFD-=VCBD}FnMMSEi}{rUDEsj+pvuK6C1nt51?;<kX0YP<T&sZVllrq>}w@hz|$
zqY5t3G^H(@7rdM)4U8kQ#E+2+bKjaQS_@otfa&rR$r<*D`JYJ=hUd~uE3JoHkR>NJ
z{im`M4V~U-Ew6gl`TNC7V!B)gPhK=^oexpP{liv~P2fSPDA)o<Yqi^<KY*CXB^?{6
zCQvz8<S3MQQAs7x1{p(1x`vfCc}|F{Sw4M=t#{-MD7-2?K{`sx6@efjs)gV>pX8>1
z^%v@untC~7+8%hFoZ)Xzl;nx)GoZ0E+!!%MaV)K`KZ(9Bc64QhjB59;2*K4t!#bd&
zb@>y<TyXuI9u7%JNKl{pPwUy+=R5ey`b6S4F7?+EPuP5wIr9bvnYnS4h3tC{Z+FGv
zukR9)N+8JM#gwAzx`O=Sv9X6F>j1k1@fmV!qE5sOo$%*L4gugUl!&=TmLu6DJEX+r
z_Em`i?e9wM&Khl+w(<j<+<(ZDQB1F+q?|DKqY~W?B405&BwX?#jVr}GCxQSs{h1fh
zaPQZ^gYk(8tqj4xHxGVcBlgsk10scsFQuqHwTfp(5>M|w$WGfzK_D<O?L-g!d16ut
zjB`!Eb<o&G;XdI=6Eu6N7G8F>5=OA*BzX&zymPxr>ID+yHkYGuuMXC<H|o$+Lgb3`
zX40~*tl)uuwr)R@mw})4?y=Gb!9&{L$v5LBz7>o+^QU(K1g|6qtp4u(`vJINsjyE>
zub*4(6bJKD22M^{)SrMr(#@~@`!POgT9<62wm-Cf)OyVG+SQV<%r)zzF;k|95o#HE
z6mCQw(`0VhUZ6+%M^GcyYP{BeI|KT{AG7ex6VAgzuLqkq$IhKrAP1-?X^$9$<=XeG
zN!~TD$h{L<szt5|iv3#;YJX=gT(jeG%&jtmjYjEpS54w5sc$;fuEmot^dz^@5{7l_
zjFmWd7!>4<YE!AyG=vU<`x9Z=Uk4+hCcNyIKfg|$Ib=uweB3%3T?DjM2OrhTKJm(3
zM@O|C?C@Ag&(5|GS|w!Zq@K{OpB-p?E=MXaWN}UA4IC#=o+Lqm5LHd)x_M3?HQQa0
zw)}Y=4?zpge78dg_d!0h>l@|M;WVclYNWvWt}gS5^t$ZJI}To~XyUM#EeOw8$=6Z#
z&Z$Sj!b@%Z()FR3Nn!-z)|G8`b}hww9%_ilqroBsAu+msq}6X?bg*5Junq*@NAX+t
z=d#T_3k4T<rL&8RB7vXvW#r__0X&<$y}!j46>;{(k$7l&<)J|Y8nUU~0Esh^%c-J`
zH%=|iw<bxael9BfwK9B0CpG;Wt<(fJapG8u|Hw{%;;sLDtZX9oz-fN6T|<Nu!;$fn
z>^EHh?dkPL--7}Jx1*(c=QV{N253m|1(1EGu&~gBY45S}l*6*JWpE+z7)35zN(-SW
zOi@Q3_@ZbcI%AgcJo@lN-~zWsmQgB*uq*L)0j3`7X4}dj88Yj88#D0H<lQ56+s;yU
z<Tk#aJ{cP2@0lroS1co8t}RW!XsUFh#WDG^)?Dpd-0V=n>R;4+FWcsG)q#HV*r1_{
z8e8e~AjhEOmDl5%`GtvXrX>9|+*k2~LRk`S?Wm5X4FF3#2naq*d#%qV#Yjt&%oac)
z4Yf;}%QOrXYfhKpq6!pi50_bHv@0fGb<Cy84=p4uE|Wl|N%lS_VF2gYp1P#qUvM;8
z%JA>KR`k5tfxD{jbAtZPA3k9(9FG$fFU2%kgxM0cy3@srWw@F$YD6#p&VuXAaTEoX
z^>&&LWEe>?Koz(i?KV0gub2x&oy-vuf`FUUCB@A&R926)_H;NzHoZ8q1^e;=R2`+H
zu?6I}$)|Y@iyR8OA;OaV_7T|+G%Y=;1|0(f0;GFmv~P!gUe@ZZ^L+%=e=4+5SUE~N
zG^Eoq*@IFh{BOv#1XOB2SfjkRq%B~9bXBYu9X)v{KCkg36dNhtC@1I&RAF=5pYf%m
z!vu4m)6RFuavYpv%8InO3!`K3X1{o#W1b%~Cj0?UP@zF0cO_#h*I)aM{G7Y){Emai
z^a`yU4+tyWxItLD`C|68A;!BzbX;K-MaJW5cb^A^aq`QTFPnyM6R{rboo6>4<lm10
zTcyBmO^`Uv(c-xn3?T={>4McOZD%j5q6PHKt<hza&>J~RGEvksN?y(bmG~xW?<o2N
z@8%rSOD;I(ns0vF#e7yhS3ZUBo6gbUaTkl}gSyl8COzUV$%osHVNl%HB{#&F*M&bL
zC7dDS4U{O?hlhrI09I`}_bS%?dJYc#yFgJVw6^}0QV97z`a#SV{JKH>@4$gxZyL@0
zmN;vXq@2TW!@rk7c^k63#zO(+m5RfQBMYy34Lo5Wk=p4vN|Q*a2%ByZA(xQLsAaZm
z^Y4^hawniU0Co^={60iWaSC@7;fcynL}#Sa@`wHKEI0%Z&Z98FHD1lI6jf*!y35ZL
z&1*=6{=W<vtcQ(PLxbk?CRKyvCYAm;M|RQ*NJLv|W!=dRqAPE`mG6#w3L)@MmP6lG
z(X`^^@wKcsSg)cO9@5p-^`NsLRVi?bvd0H{+MRaQ1Eeq}m^7xLP=og-|8-X}euki4
z2vfl9lP55PDG7066*!VkQtlHT0kT~V5FG!rIb!JO;&5)<zotemx+z925mbH+^>%N4
za@a?`6h>TneyE;I?e|iOzJ~1}WzW%*wO<ng9H9ye+GiI{0xQS>zP1AK1kKcNa6U5d
ziE)62s7BQYvlneUN>(t6IqkH&OEz~y9-wF{YC{45$$m1{K3<B(sU4_<gdF=chenS{
zdTgd7a)D~7d#1Mo`nhzcW?nvHY<|_J(u;^D(8+n<%#=<KT}2=J?wo(RI}+@8xb<_6
zweuS_J@mU+oCbaC&jmz-em-FAD*2ZmlX$j`$nzLQZJzvwWy=~CmS-6OIn+4rl^`4%
z0wYUr1=6-lkxC>K1y?t&UcH(-nIJi&JC0cf^(Ge^TahMPZ%2m_pQhTft;u@1qiR>v
z&81T&bC9Gnz0Ayso6!ST99Qra?w6}Bh4}j$GgAz$5IT`_4Hvzo7*;yzFZgt)uP58H
z{*NeP)Z*bHX=(Fy%P)Sh;NP<Di_$#yG6XtJxslm@Q_)(KACYAb1qGpiL1#_Xk~WvL
zb;9lHNn`yVBW^ETym+{%B?d!%NJ7jgWPArPQ>DBiHudCBYaphs=({udO<VYM?2U4;
zcf`7;BquNZ3B&rdEVF8Ej^!$k7r1#uj=l&!aN$|%EzND~r3g38;Z~1SG9>6vUkKVH
zw|0okL?pfMf3uD;?VDR(eQcI}a;Vo>i=`+V=Zb^uSUNWoqOUwAZPnS3a8gjK@N)i*
zTer;HciMsHAkC&`jcHN1jm?wh$VI~yBzFhr8tpP`g8l3`Wf;rgjR6@4NkI-tpf@1G
z&F$3@vBk0IfAL1{z4>K2P?U?7Q-}zDBv?tOSfgjn7jW96T3IC}kJXm*DRt2zff{QA
zs$*r=TU+NPEi1YVSfprmW3^rIMb~AtS4^2&%i=2c>f9SNhK*dCr|gg)bxk^ipRMz9
z@8zevPXsTSPYKn9)GrDZZW_cU{GSJTBZ=3K>~Yd0vg#eO5~|U{n<QM=BIDvWdJe=i
z+xchoCAcffve78`hBREo<)CGvz*fudl*eX=7n4yRyE-D7(QG{AyM)uGTejFx-FzUE
z-o*3n-Lxa(>ko(bjtsOm_gt5*8N5D|vFylIHde;ba)UKtA@L>^CkF3AvV0??;IfW{
zwT5(yo?d#*)d`yBpS<V_)8HL`^C;S}D|jA>Sn(oAk&cM7K|7ra5hO~{I2Q?2+LvEP
zB<W9CX0MIf>JmWW9{t_mNIMGdiIa9sNE@g~Ejj@TUi#vm-TOUWE$%ck!7Ep92$xnv
zqT@SI@5w5ukH!WrBq%8#KwbXx`Q#*B8CdvI<>{x2HD9KFv2Xdh_@=0x)Sc(IjYVCg
z=qX}5GN|Tb1Fa@N+DNnL(A7MI-_)n4URbx1_NWc#+CvvDSyE22f4J5A6R}cUDk7lK
z+H&HB;|s58ep<=;Nee{%tk2j)jf6U`=&^wd@s)9I#h+i_W@1hF$?GA+#wPW9dfL;=
z;rK}HcV5bSeq1l$h%7RI_r-_CH^(TmUh_E|d5YTSoABbraxHtQXT{nx5@#NTjovPw
z_;x_(nUV9*m}9-h+r}U!n&uskStLdR)LPyX(H_Q?p?Vtx_4#mLXj{aMLO91uL=b;`
zn;PJ4Gb#@aUX|XPXYb+fbf`~(ux9RNBt^(g0uECK0IL%;&CXZSH46<-z;taZvY~ZQ
zv7j;WpCzS;hU;xuN*AZH^G8tOsMdAq5OKCQLDz*s_AxJ_@Ev^DrDms68-4x4K;R3W
z=7=}N#Z-_aWCs%oE5Pwe$W?gBX(6ptjsq=mQ6&(Bn1I10+_=$C8WfVUo}hNl=LGxp
zWA<OUqIt*H-=A}%p#GkfdSi>#`3DZnKTfV@5NGAyFONH@Ph%9w55qh1J-S*Z=L>sf
zkC%QdPi-pUM5wiY%);xJqvk*V;KIQsbM(-WI*{T<Qy+-NLB^nf5d<bU0mwdACuM+b
zHi5q&u4QXWN>6WZd<F~c+1;Wb9npqD+>G!3o+zZQ!vN!&Tc4av(yk5fkE46R>iWya
zUqDa0>BTug^x$!Cd*h1Cj%0BkiGRvJEkEKr6_jrVE?l(8?AsPfq~N}N6IW%H1Ni&$
zwWK+R(zmhFg2L=0F8*S5)m&$n;gy;aQ^qZ8hWSV(`8#;GrD1pC)9sWehY0qFT#(4~
zp;)O+tGfVL8Kap@c_7R$Zhm2^udh!c8sk3ONI(&?ik>j<KGI&`>bdXjKHJU@b7qeA
zE!{3^nx)g-_AMOtw_Fk^p%oBVcfodualdZ-WrF%bs>ax~O2<b$;bBFOy1Ins<->KX
z)f?MvMTYO^?cx8^&XLyEtbr5~qIIm87*n%u&~i!&J(TH2uS<Z%l>q~@w(XErB$`p5
znP(zrD*%7~l{S3M0jLSL6nWC=KKuyTO*u|Ew}gbm^6}Z2Ya%F^w-N4^x@!WRDqY|T
zYaG3{b8@~Bt@u1JV9iYNUOlj?StI!9&r1u7+UBm>a=YLpWQ4R&^y8e%I$O_ednA0=
zd@4PDQ3cv-9+Aw8#gnoE2s46R@GnTlmeRZ5zn?iy;oi25v`l(t6eH#NIxolTVx{uU
z8>slHU`*3J-T{d7c;bx~`y)sT7-`kBNQcT(=2h+Od9xkq-|2o*o}AFt4M~LKF!y4u
z5#kAgrjf@V^-}31Sggru4od0qS8BX0tMfQ`h$>{*cA2p)G15LUL{4Xm>C+v5g|nh+
zJLg-;^C+SWBeIG}e#slxpc}}7@()wKv|hb>^;bpjq(PW$EL4okszW!AqgP)aMB6(l
z$xblKdrK<)iJlQ@*rvU6OG5k6?e>jOcOe(0BV84|m)ip9ypJxUS2@V$B`sBYeW0B=
z83qIB&hGv2cDj8xrATQ0{P`XT+MB|!U!2j02%@jO&;V#yMRBnVEFrhRuH|HUZ5HZL
z)JMwqnfHayVK8F+>nU)DNw3!#rck){>`^;yWMp-Er<$bNl^>D>SPEWox9ppU$(vU7
zb{83H+y#?2y%EE;gWEW{9<;B{+)Qibj3)v6(-29aHUR|Mf%bAzZkVx>rigNI?j`_)
z#<;J~kuMGO4uj!HGf08#R}YZ1oG4JxGN;iWEKV}h>Q>4ply#Z^g+BUT0=qo(LM6iR
ziKcJdTx$N|HNmsS2KZ5&R#g==**JjsOT%y#{{H6O!ei<;ok*u=)3ub-r%xN>BD3Tp
zC%5QKY`tWrJw*!56L8n4j9x4~A~&*ZmASga!-{VzGV?FBWUPGGr`K&<8ot1G2Yb-%
zBH4eA&pv5fQ)49M$G6RmQoL4z*L?nGf*XMXS+jBD+laZhXo<}K8U#<WGmwMW4?g`3
znY(JiCFg|EcWp$*qJL>f#;=>s``>W7({Wq#cwnbiqbW7pjT^nar>;x$cKzHdp>ZYN
ztG0U{5Q>TMae3&@ISCwj3!>EwT9c~9<)J4;w?vwO0l{nEl1)mw4AU`VU|Guvu;;cs
zN`GzBmw83mk44W*<1H5l#LmQC{@l*ny^JQ#{%jePv9hx6%2wdc$LYK>k2T!nNOAo8
zTHZ#m&`&Q7mJ0|FIIQRYBkN1RsovM`cXMf=IVnSiN`_KsFjPt;k)cF}LS+h-d8|k$
zWQ<CY5K<XJl&MK1l#rQFk|{ET@L%uNx%d8`-+rF%xz9PW_x^rA-*;H=TI&Vz*508#
zB0BMm{XrD<BKkS+d8xo)FvK*@o~2>(`uaDvP*H%8CPoT?hc%K+rf5(bZbs|>!KU4X
zci3(_d}486vFWQ~{veI_qmA6GO6nK5L8`cZi7Wf`A4S@o>=<v8BbxgsWyyNAJvzQ%
z`_bX4avxZ@Qo?*)%Ui$C=?&V&y5nG6(NZF9rsabBTi{@6?Y#W_p0gHOse$6PSjQ+~
zEM<nnG-sn-5vFR-75po=$6`)W0y~z8;nR<7R_&6X!IU!L``Am-9rwd6+eEzqbZhFP
zvkB-yRQd{FSc*x6U~tRD&50t>4r-`dS^34q%1HX=Lcd=H(H^O1Z5Y=St5N{Q2;eRd
zcOpF^&MINKwjesw>nLXTBTKwNU7hhc1mz1!OX-|I>cfljCKRKeBGkBI&zOonhS3e(
zQ}^Jxv0Klrx7TX1E@)VMoM%MxBN&XGvaGDE4(&0a(SY)6O#gr?O?DZEGQyl1QS$SL
zvGR>1gGC?evSD}O$7%8K$ziw2qT9;$2WJJ4iZ{#RU9DM*x9E%7-7Jr}cRnFRrK5$-
zWv!xPY4wH;th!~|Z^Mnx|L1h{w}-U@igp6it_<}O&D93`n}NH-XU_9jhSiIzC3)~@
zFq?#!-M5(Tsz>o?g!Oa+v)&*?5u}dqcCsmaH=_0@>BR0ClZPp9Q+F~5m#Tkhpn>?I
zcU`qlKaJhOKz+qqqF5wqp7UBFZW#yGO@0=?jqJhtuus(LmOVM8l6)TpK_O^G54EwV
z7LBw1Zeg}XYS}yQ?j6CsF!y3<?1oLl!d7bxz=g#L<@>7{K#g0W_DV0FyPvpeWXzD2
z7<q|h4NcFputcM#fn)L$Ce1=&M^#X|!hq6%DA16o=O>=j9Xr<g>OOz8s@2J1=VEKc
zk4t>Qg3lgl(0AQ)a9>@B<d5YGLl4|cEl=K;julW=ss#_jHDNW8=+nJ`KBhXw(r6{&
zXO`%RT8qPu98T1;@NoDZEwE4z@^-WaMjpZRg&2(QgV+O7fV2218|JKT!7$zKGmwe_
zf7=`Ll;rA`C<r>l?oa-(?W%bxPD5vCTq30VOrs=1)-riUuxWVU_Wi-@c(5|$I&tHL
zgfR{v_Ga>ZWLllcLMtzaPayW)_^*#ApQ=Z(@$j$<2L+wk-TJUmlA-0za!s|v1>L_f
z3O{XAaOPjnW@!g)GC60(ggTmP!<=5|gM|je3tnL;b9%Zbj4@u$zC3vat>gh*FVgAZ
z;^FZdQme=!;RN*b{;vhT*FLu*>5o8jy3ZLMd1tAN*pp`e>18;J-@HahwBHFOd^AKE
zi&n(BMY^-hAu`KtDTly)lfV8n?X;uGc3JjGAP!}@Zf>0aoNDdqvFtnM>@3v+`%%0M
zyvqNCPo2S{0Lhb4XH{~I#H;N91hHkZrpiYMQ%EHyfs<kW=EYAAv|6TzIU2e})Fhrp
zyczL0HTSUcj@$n{acxAkvx^5kYY5ohCJB+1gSf={ixw?Ptw=foU!yG-ckd4oivQ18
z=Y8^I^gq}EV)=<8^K7^D*36f?Qj+v-3OSk{rIlQ6`5Zm^URr+V<;_njm=e<4W7ZT!
zy7y5${^x5!fE=tXxIt0*AY*EJsQ@#B0`v=f;uTpl=qTakCw8_~fn1|Lt-cNM!hr_o
zU&=E-%!7^z$hCvRroTXg?RUVSH5YerQkhMR$~klAKEY}&dOf7cCt&FkE^f}pLL9}j
zk@v(Gq?tI?9D00goAvpU5tnH@<-t)1B0>oX4lKk=!lgHWu@<ny&ivfwOrIreY~0{6
zUh2*96rt%EfNBMdEhp8B3`Y99%2#HK7cbuYY_4q#o|>a|z`zQ*?xvL_Z%8h4Fpc|T
zvq}DTz@tfpDL#_Df2|zXG={%OnzbPYLdN)$a{SdyNO2xlF06fKli=ayg#xIHAD=;L
zJM&xQtwD><OM4xjeV)f5aexH;@^$Zv*R(V@9|$iE<e%FzS(G;Mm1o~YrOOd^%E8fb
z<(CvZ;y@@o*WS8BiH*?T<V}YWsUDS`V*cibCVxSi6b1dC{b+uhgI|54N2BT@i1;NL
zjX8+F!d?1+Uq~s2G_f3vBw_K+VQD{9)0H<)p$<pG`tOX1%2&`FCP`nbD9rIeY6Pmy
z=4Tri2I-i1hH<`WZEf}GzF6No)a!3jzo96u;%#f_rR8ZA|IRt|Q`hq<E48tmIu1!Y
z>nzXrKaTD_Yc%j~Qd7eIj^D6o8l&?N28m>tTNbsCHDS6PR9=Nh&b~=(%rC|`r+jOR
zB5gxBpGe-C##n+lFMURLM>GgwQa+oQKjeN%5N_?(5f(T&M1w%jbDhuxOq{6xNWn(%
zZFb$alXs30ha5g&E1;o12NbF08K`eZyCxG_-pVs;`HC=WdVeNX{>4u3eq^L7FJL5e
z7m*`M(-;2W97kOHidqZZ+$q7kUumudF1=Yo<kWKfRMChjeIUO9bRhs@t|W5>-}1H@
z9kh_2?_QrWkjE=2`4pE-x6jHZ0N{FH<a}?%ktd$TLH@S|dxWHgg2uNBql#a;@02C;
zip7mn$y(xr;bY$B4R8^iw`!{@P~2FTB@n@^hv?cLw{piD<;lYR?pri-KE884L8ZiX
zbK~);tQTgW*dI^k*gKi{^Q<BKE!xqO#S2N5q{QP9L?xf%Le$J*-Jes<J|Dz=;3ruy
zG@8*mE#E&zi6M4<BsoL=Dt;v{Qzom7VIN$7DvEDgMb>~A_zlq@4$Q>#YOOl-r<C<m
zEy7nUU26QW#}^7W2olvfcDrI>Zy7*03vm&>EQDW#N3}_D?KPh5+qFsV29R6qn~^xM
zOdN<ckf0QPe>^2m-Rnt>7%QtE9W;8p`yC#;I}fSN=(YXKF>|wZk%>c3XfB`3`n{{J
zXV3h%V&cY>)8Ia?#Y*pHkm%!Ggw)m5zXHh(B6|`v@@bzZTY+n2eo%%j_vfc6RIDk)
zbG0(a#~=p`s~b{nP;bJB=G2YJD86bZ4wtWc1H>QfP<f*;>b+UB{>bCoRNa)JEI6My
zin^v1G{Vv<9p<q#FO4{U2pvPV!QG6FZ3winRKvA2JbOH!1-H*+x+hu1;B*}*-sXz4
z{S`n``C(pge<`AprOsjcnC>mA9cvdaT4aP;TMSmnByvucEXU0uHamO0G{gQOxD;WW
z{5m}m(sBAydr0-SEydB~(XWnx4f0p=2Xy8%pYD|Yw{f(x6=APODL-}&I2z8f5~hWZ
z0<Hc)EX*EeBfn?Q>BPybu<8}c7~eO3fUSTugNFm7{3FMXW!RjVLx%)u=9bh1tRvWm
zt~0+dOx<vgc!455*%T3rLqqI9+c1C)@=Xe$+LY-Qj03N`p*tDnbdom<m32x0T258a
z$M<v*#0kgq{VJpM@hgx_d`5@bN+U=Ess1Z?pU;X&i!+_L&^{Zf3Ntm~qHAO5$^JmD
zI9Y8USbxyb=@7xtFejAdmNQnF7~zZMJ1~;O(Vi{RIoUDxWI6xY-|w2oD`K2EWgpor
z(Dw-_QJ4E#bv>+k-75b7T%VJj=VvmKZeWmFges8_h*QnJ0T2pN;w~Yxt-n;4yc{Tn
z3TI0y@82)x;LEa8H_JXbBQx`8n&q`ltW8$13$#K^cvM3l6fdoVkkuKZnm+se0}nAv
zljG_F%V%oOT_)sz_bzwPXCb(mqBjxJUQR#m?o;!cU#K~~x=Ta!^oY$Ca0nLApal-<
z97DY}2rvHs<^1%JLje?NX=GZ#F+qA!RBVr8T<AAlV_$aG&EU#*%#QgRoqzda>U)GH
zs?aoCN3*aWd`EdZcE-FHFJ3eQF$s!_9Elm3Ra6l2MjbqbHN{1(AI4qHpRzwUZs|2U
z(No^j7b(kSdjs&~kI_So%cq>gdss<$U^pzazdj3%e=g?jherzp1O(oJq0l<i=oX5M
z(KSFH2FGp~9NidjN81mox&YVpoj=1yxZs>T`3xb^+>%OM7GeAS!;1$llR?Y<D_M1D
zt?F*RXSwo0L`1|qE}6Pk2b)q$YzwLR!F-ZocJXpe@fqHIhgH_EXf+HN#~Y1?K%+_w
zBkKrVFEl*7-$&t%gTQSEup|g}(+71_y|q=ytdkgFsmz&Ko=iM9+ne(InxR>j>$p~)
z9UHN^DQ*^$YEfHRCAohrUgp}BD@lEJ48}y%xBK6ULQ4g__6#Vs)g3+6+Wt*Y|LKMe
ziPHL7W_L28H5^=ecil`M^U<Akh%ct@`dFLg6<)Q*&=LA<j8iW+9ALP=iJvcCn`X8a
z1BfT@iVvh!lQAg2gv4PdVfrD4f$V}+Te+z_L&Xx7bsxE#8Yx)3Ez^lw_ETDFcyQbh
zqs7wl$K88x!V)+HL$uBHW*P<NL=tdi{t`ysIB3qgNZ!iffcTzkjxsNq`+^;>sDC>d
zdDkf{4?zyVBRf<?D!RLtg8vi(#muHEKh?~$##GN@lw-;f0fK4~?xy8uj+Jz8l5S()
zvVw$p6*tWEAD~Sb(wkin<Z(G#*RHK(H8C;zyK0Y+1C|Fj$ZUr(3NDtL!7bOFShYr{
zD>Pd@*KcOU2BF6D>(+*!85tDT$X)vO%%6QS+PzOv>tB^VYgfz%8$9p-xoo>pb?&U4
zkNu<%*n?&xraW*7E{%{CCBEBjX{Y~OxKRx@c^nVW_wrlCLHi5@gI1Z`a!QD)nm@fB
zdPSX7UGas#(OLzfP*~|Lt9)oKXGOH(<V6E5KRX(V<r`9NV0g@A(oGFMmpgmQzQRFk
z%iQfK!9am9ScFEF5FiZLJ`YaZ_%Dm9hdLV4|DXdjN!SEp=`eP3mECzt!7p!H#<OSp
zp}8=|LgxH&C8Xm}xK8iEC~e}v1)d)^#8&zW)4}VYH7kNw;Uj(_YvyzVVPqt#+`?8`
zRd7{^e*ctue!<O82@l{!5pQ#YoSIy|bzYCF{pW;bc~1wJWr{gFxvcr<IsNzGF|S~P
zltW(uu!9)Y$lW#j!1Ax9v2t~?p;w_~4D$lGx2OkcaRAi7;s!|vWh6h+U&1g!v_!sM
zvKsX*VX}fp9t(jfBR*BDII{a~+$QMXhxoT`+g5J|^|~km%1PQRhL`)Vb%34=&jG4W
zHAS$;D=F0t;x2``<}&J0s_2LDgR8*AI2sMwK)$xVuIt#q5po1eAM84s<2-CM(%-Iz
z$&`h-hN}0i+%Rx`Cn3a9b<AFeF)<}DB;S$H;lq0NUuN(gXf>H8S8m<^{SZ4CkN`pC
zNRkDw*g%At{c37~6}gg(l3mjJ@!}uS_Yef<c)hr5t@r4W(7<i|mtS}0TFGr!spX$I
z=DpM@h!+s|kE3snU))_j6q&;{z@!tE<O@fERcYmnnRf`3D214e`pjQvqh=}i2q-HY
zTS=kT{PoTJ$s{231;)NXKvQIU2ikQL^qxzal(qg-i_3VMv>qzXV?ft^ou;)P8k(o)
zI&Az=S^0dLF%@gqu#00K+?UQA=zoMk_NF-*5au>F_kDlZi`cpiCaKnmr%=uGp~RIr
zBrQJt6uj|e<08yU&1fq4Km0%;i&I+BFqkdv-Y{t}3kcO7$}r!|Fz6`)Av8G69BA=I
z-vj$1Uq0nGd5RWda7=ZI^MlMP6+@z}k3wa-5O~jJ`i6PAQ|IYBb&0pY|NZj9K`6V<
z4r3hBQ=IEqZk9PJYv-0!01E?RljldiTwkGmD6Lc-zXd!OzmKyFHksD{BL6`Ni59t4
z&Mq##<9XXPv|iUWXnq|t-e>fx7s|wASqnvVV|zmAaA%*We$9Dlw_|a`hPJ5gE7?rW
z2&053#_pPN^Z6k+5~Z9;Wgl27X_fGAxIu1g;Mm;mhK!C;8-N-3fptHJhDyIb#usQ>
z2vM`J+n-*qz4_lz0Oa>ZhY!lUytBhEqTrr@=a*fPk&*e<6ZbwKV;i1$yuJJ_Bo&L;
z*-h%~90IL#^npKo#Uf9`DrVK_UR}Ow$)6*Ts~MrLSs=YiFsX70NMs3vlLeO2=w@Ox
zhHqGMIv@w{{uXwYChuEFe+w6f-AcZInmBgxAOVP1E@^S20T~I6sCT3Rnel0G_;?eu
z`mT~!Dida91eLpT5<qFqCm^sg(htNdf23OWFI*~%R@{r8aXHR+w8Bi;26c)e(Ms^E
z%ivSRdwV+LePpHhQ>Z(Z32FI%nHC@ZS;NghnkEuC>JG!UpVr@ermONh`RtBOduNJD
zara0F3P_u^K22aVa$;p6-W-F$th<e28x;gPA*KHA>`l>1AfFNYIHOPptvXG0zlCi)
ze$l)pRZ-^8Pr3Dn?oF2?2*fBUBV+3vR#wRc=dvNMB|Et%CcO9$h!j`gR##OqRp<^}
z_FjL~%{=?2b=%T2%qr47d;fuh*R$K+v(AY>x~>4m(kOU}f%O5S;)4z#lq9k`s-7$?
z@M9J~C(m_HA^=3=ht608kOG@I;TE^fs!dQVRLq_;=Oc6Q<=*lW{N;<B6}`{{?I-QY
zihFvJoU*Qe8f^UL&R3i}54J~vz<xR2LR7+o^DL>y^?>wOhesYWwl;^`{Mgn?Q?klg
znz@)Oupe%`nQ8Qn&r*Dypy#E{ML#v&l+@n2xwUECG9Bo!S<Bx!VlkZIpxA4b7J;id
z|L@iOE&6m~Vl9JlcrlO*$c{G&B;z=!m<bPj`-nTd26itr)8Y6Bj?1-A90yEEd)hmM
z{M>lM2Ttpvr_Mj6t9Juk$}t*BDnZA-LW%wr!@%0a+xyP-C(~odEx0xF;*7c4e+jEv
zWdtyV1_NN~eta|f>^Q@FU{1OyiV}bWM&?sFSFaX^PX*14P=8*l95w!-R}T0uEsd3t
zv;c?Oq&EE#k=jtGg471{0i4AB*z>0KX_PH3-vM!0e)b5g6w`br0Q54G9HBzg*2Xa9
zA#XLZ9c@}@gJmnCjl9+smibgN@{5ZP#7~u5k`|f!EHqwk)>o=G3>2_oZ+6J^pBhBU
z0FD=kf$~w8Rt>g<2Yx;k51d5`7dHtfips1zWEYrPan!Nt9+^uu+6sz}%W$3$?G#=|
zBw{@HZdL17GyHi-Ta6?Ry&2~)jv$iRQL}7}$X7@@>;UR{0OG5vYXJI-ARBP#F&x-&
zy!rJ%`5s0~S2TY)E^Eo8=nUpzEaWsFA}<G6NfUiKP~7bBzxD6AvmyTTPAyP4)Wd;n
z*(gvN3U=xPI=6_Qf#dVMw><aV?=beJw!UJ`*oCf|%yY2-9rh6djb$b5XGMvNY_&>6
zM5HXs;T-Qe>T+r-y@laYs^{3wUwK*j#Gi^kHSX>V8i=O(xIuVM5kuZ*1rH)o+2k2F
z+@KbHrMG79YUKA&iVzogknR0J6J5Jto?=+r{cjiIUG|hmR&q+1Rlc7+?+`~1(#xBx
zjqD7k)~{a)LJCFF+mENa;>XOHGgsPZx)^2cAD(JtJ+V^k^b6N*He>1O+nq}GDz*Jp
zrQI%eb=_C3G)aGC<Xt+(Nu<|=2S{hA6F=X0f4>&x4N+~*j`W)lhfd`i4tRdFJM`ji
zcXX(p>}k};9Qd6Tm7mK}Z8{Eb!vS-KjRmPS3!zhdvm4~)FEhyEcaw=74%>9}CG>h!
zwrt^!+Ajw{tqAKLCU`VH3`BEmaYqBM1lmqC2=7EiFx>U*8SDLv*1uW{c`@^ll-SCF
z@&R53M?sQGB~%Ef<%X>`H(&J0NN)Izrz=|6YJv$#u-t(=+bgsdzZqM{aOaOx)}aCl
zCMO>x?h01zuWwVSm0HGn%?%W+R@`~F*89&w*f=;g5JRA|Ce1sNez!pgQ4g>f!N=bp
zRBxKgMx&Kpv}8$e_ic#*$F_0at{M_qX{CTEBVQ}HaZlGA8<^U0u4f1gLwE$mBtORA
zf>FWff1<)4%&iTmZPZx?v7n9jOgNSCY(MzyK%;Q2%HAu|iZs(*m40RN5ooOA?A->i
zb-%@)Z3cM^R9%^rhRhz(tRskpvMDO3Wy_cMr7*aoAagH*2kJURmrV}E$V<XF6Os}d
zL@d@E#aD5kWl^2-=FH{S;Ul-gRb<D?w+bmM$03wIv?jai{5I?v5dqAx@ueJLwUFEr
z3#;YV57(>PH8LW?!ouL1>kTq7IHO8^ZKdQqvS~c`u>`Mb7~f=XXf$1yV_o&4Q*&qk
z<LCF+^B!`p_@htmht#01*nF*DqEhWG9V?J|QtW$AwEQyNbQ%Q?nL5@?oy4=Q@d$`0
zj^~{J)M*>O;ef&w-tB1et=)Ec-e_=BSr^rPVOy=sdKg%kcE{pHa&+yQBj*m`uFwJ~
z!)xul*y#RZw!j3mojz%{A@{$H!z<!BmXNI@_x(wtZj*C)%}cORRuEJHf_(jK)<a$_
z-UoX0zK!AhwZ-W@{euNO`J0Ri*g&ngO343K97*Gt9v1g()pJ`kPk#hRPxOnLA7t%A
z0T0khjcHT0aqsz{9{mUF3@amotDl#caJ<u*Q`q<J;#i++%c8!sX<4?Lk4Ouz``1jn
zie>6<oHX}+<m_dz*^&`|erWX$Tf*&ARXC4`m$$xzT`has6h>vN#JNLZF;WNdn8Q3x
zp~103xW&#hJL@=I|EeGyRd(+QEe2EK!RTDdv2=Slsn0=;I1rA5_#AD{RpCP~cwpSI
z<r;DP5H{D-`ZjqxX8Ja`1O<Db#^%rxqk*$Qf!k8FA1Ea)M9xkiPdC)-t6Rc9zxvho
z$c4*ic$Crfo1DTxHq5{Lc)M#U5yembRoH@#1QJnCd7UmqpD(4r69(y%g=-i~_mF_(
zx7&7}p4{`WRg~<ep;EV|stG_yfYSvY05#8tR{l~%!w><<`lf57gM%W&S#%?T({%~c
z4OCyO7K~GvF$d(ScQ>Az6tV@P*xwIhhZPnaZ9f7PFN=$acs?->Ih4y8WOT04UVNAM
z=$o3BMa!&}WKOFQ6Ye!<mG<B0=Wa6CD>#kOw8ioda@<?3yq=bpsO$znXS`tMhM;gU
zOPn!!{njl(RFs<oUwwY0b1G|766)y|m4W1utnG=9r~PcD)*Ismhvp7-H8mr!eVNwV
z7%It44vTP)7)=fL^aoCXSLHL*y?R(-RPW9U#O+ojR7nRti^GEun_d;33qKnGTuO*c
zLeFL|W&XVtw&B;1idK4F^qFtfv{k~gK?wCnD3AzQHnw}?;kI$5M^Sog^&&$*vSaf+
zw-0=O3_E>fdo9IH%l%1vqjTlzi0o@}gM}?yvSSk>K7-K)(4U<*+6vDkJ@Ugi_r3;u
z?Cge|h9tSZj*kWmHO`f``4LP;b~rR^(OiehxQrA4jITa7-F?>#hk4kAfL)gkymhZu
z{pir#@j!a&?oK7I{SHRjL+{{s3MadJ*<Zx0#$7WPhVl)r5r!o7yb<5zx$n=E{w9UO
z3M&eDh?oKi9Y2$9TM0;$`b<i!@kmRR+DTl3K26}yGiL~H<5_(C(&PCL9p%JGSP5)o
zJs9-qg-Pzbs+O<)R&DFMnPW?AQsghlddGQDA*I_l(pUcbVpp1RFK$M?>E;9K#6vE;
zz9F<~nz*FmjLYBy?T3N5|3^TxcvW4IW!kqEU%araeXhCOo;@CLr`H5{%{6<L;yE{i
zSz%7o80Xg=O^F8Yb}xn+e4z0zvy=tmf!Qb6x5=3s#<OpBQ^SUJ!a+cXOxZb?F1lB#
z$qGYmFt_cQPwnZbZ?;HL1zW+%U}EIpW3F(z9QWDlUDWQYT;s=TvQ=#+&ZE=F|AM>^
z=3g+P7%>LzmrPmvjqGln@E%@cFK=t5O}&s3r*Ffa^3&a8?~QOL^T*%_L>Hy14o8~p
zUC$PLv~&G`f>1@rVm1mQQk*<I3`STmDx?<W8-QgvyjyM5f|gc<DF|N3A)}G1X}5_m
z)%)u{giahjDsnUaiEEl_6K7<#beS5JioVkU$BkQLBj)DkK0Rdvz{XJQHyU9PoI(S8
z=JjM=|GW#te<fvqP}?~mplHOO?$<A0#im(`*NxI8TwJ0M@#aS^3zv<@1W5sqJ8_59
zuz2~A3$r+_%JG(L7D|~@bk6gVP#IU%Wh|Om!EsS`6<goWx2R`BNgzhlIIy1Kyp8)~
z6!89Lm*M6$40j8vxsuPA{mUsG)ZF<Sr5$-*QN2mw3(t~~haW4u*dB--Vq@~rMET5j
zfWd%zr8)o-MpDhHhxjiXUNvos#q)KLp&uU0R0Gb?qdS!G!9Ue0+BA33Kw84#N055C
zzo@9Fuy5S68nnawKP3RZaNdrzV%kFzyJJz`E<D&4DOj*>>((1=nzI5YEd>NDC(dix
zUfye(a8BgMB#93?R`I#jZ=KTEmon8}@BlI*f<ToJbeO!Ua?1Vcmha=(X5RTfDy1Z8
z!Sg$_hlf(XaQoe>QMFWfkQDGYY6_L@gEO1tM<~)4^9C0lGhNe1c6KCGhYV4sulO%|
zNjJ{j<tW(NJ}boq>&+n0F&8Q?j|5Yn`Iy2Sj^tfc=RcK?el)!>f^i%nRiH)RdwV8?
z{BInfATdTVs%aC@eQv9as$*P3{~UZ|X2~2rmv+ANv*TgYCycbyL*sr^80nYVOc+TP
zQYy8VE!HN&Kbg}_v@qaJ{Ym}j)htfz5m0R#%Khx0y1QI@t~ggN;gB^)Frz`ljz}*2
z0kYZGlGR0)D`Tf-Vo@3|mLT$IjV>&gzfMpf_VLM)8N+sFrk{C}iP$?inZ+}Y=>5SU
zwR3Uho2;An80M~Bx`O0v!?-5l+c!>UaDHoUUc<w~lONfz_NvbxeS<x!s%(+*3xpCv
zpa1!Nb}xJOpodVE;rRIB`*l7lAya-07VT43Dp1n=byYg)ujGg^Y0_%&tNh|9faW4P
zTplOyXeeB%QMij~0LghCr5SLPdtgz-=XWnI%@S@%XPHad-2W*!mL*Q93L;VpP*b6m
z+wV2>%K}xQO(Pg22vtfjpETzG<UKnWF0~#ogIL2{38E(w)ZkqyjF?G-OmaWKWX7>M
zu?QnAM7N5qAOi^lwxzO-YyRB1K_CDZApz`-1>3L?qqSmFUIBq`7v3bNr^hGX3OzS*
z&n@i&+9rvgQu7(<zHKJ8NdvE!KB<lK|Md2x{?qD3v}uBvCWxE9%H8E1b?|q9eH78U
z%fM9e=@wu>bcp#v#@fV}Qr)>+X6t_pfd=)<XJ|&bi=&i+r|$$5e`4pqt0D>cg?yn-
zlxVwRu7B)%fBkAf?84GX9w^$3R>1--5QYpZkMjs_F+xQ_Pnj6*o%=rPbJhWVVb_Cq
zzqt9eC=I68>T$uQcIB3DTgwM@`dovW<#lyVJ(?sHGTdVgM-v4Y47N>bHv#>LLNS-J
z|Fp*~sa(+I&r7a$A5#xfKlT1bBtHZJ4_q|&y*1Lx(=)Gs1_<Nhaa=x{w9>$P(*N-9
z{czm7cdsI51vI@DNL;V`EcL+ctsn1km|IjO?YhP#D+2G(O7$5YQbPN#ts-w{_8#9h
zoa%Zr>{UK;6tvRKlLFDIr{&M>j3;7rK*ZUmvJ7+b^y4_(6C=m8(W<i%6y(1UF;;*u
zi|*KtyAn<`8KdPZG<+eXlptD2coH97Ug?x(JBqTlhB-LT3ldbl>rT6O^TSns*t{cx
zI8;@D?hNZhHPKS2+%rpa790M$zqzCRzD?e;&P?va_p;pZM(=FCz-(qXx3f*A6=`D4
z*}j5K7p31iB=%*?H$;CMM@x*oPIq>UEV2x+)-ZUB`1?r0;ZVh)0oZ(QCOIsa`DTw6
z!cq#pE&h0SlS#kS$rGI(=ey`m0Iv&e5G#9TV@Br8g=Pd*&fipV(NYOVA_)6IukbT%
zV!CSA0u56ddImX>qFSJf&}@Rq7+RI_SGH!dN1Qm!@#FDM&to1QTLY18>Yg`7jUSjh
z8(6zHG(A#L&u1~LP6%@Enc*3i$F^DxGi>57zyrzDq_M%l-o60Ew2ArEgmb!j80>sS
z?D=~cpJZ`%q4@5-wQ0?o-89q3qyc(GwwJghD*qCEEH11tL7d+oY7%)CkzRe4=ie*G
zk^S*9KIDyCO<2~cOeG5Gk<LQb_Q=o~mCgT{^*l;j_V9V;YrHeRpy0a)uO4HYnW@@C
zD4I3Rrm>HG8wD0>c0d76q8|>oVah;D*GRVEBRTYF;kro>l&%PO3p@{**A=s7BC1zo
zP*rF~Pby>xYVfW~o`q>bAB2qnDiGzPK<e8Cq>>xZOnI3XLKRK1BYv3CkP~BB2kt#s
zIi+BJ=<M0PX}h*fvgm_PGm@4{sZ4XXXmQxyvU-Qf`1TuW+gxH)yE~V)`$efIT6XQS
zxBty6D~ld1VQ2;(+!+q2QFV|p*8*EA6WfU@N}}=(L;>Ejns}gA>%+|dDq2+9!BO-Z
z^ZaTpKS{_H)*nsbLpH%H?A|xO_>IOkahd1HVdY!Uqhpz3QO_}8w)VWZnO1FleZ)VD
zzu!DHefz03J&@ZyZ>>GJG#X0r<j_g+t;1Z8u)p_a$Klsg7@cYeU&d%)<!eR}mC`D&
z!v7tt1X^7c1GhR>p^aWH+TcLKuwPitG~wBU@v$%{OYXvrnrsVsh4v_~tTX`#e-_y1
zaOaa!J`7&8|0>w&Lnq~c);exBE|2)UYCO^^wMR#|svESDXWnTQ`9}l~M7fTQoKQi7
zB!uO!cTj=8X%#o+71c$CLXJAVz|PLDB}wzgDPCWe*~wpXrn+x#c38<U=P3QezM;Q!
z{*zk!$5tB?FNOPOXX#}j_2kMd2g(WJ#e0~I!-^IjC{)9e9+nCrV|UtO1wj+oT@PDa
zt~k0WczVIH9lfRr`vlMsD&t$>X&Qh)e0nmShS<AAcZWS_!GQ0?&M6GPuRUEN>d!Po
zCPuq%{7Id-m%i{hdxX$fTUQW8=7ZONZB_oaIdeGn{*NP=#6H*;ND4w^`Izj(plib!
zt41L}<-mb*J=PH-vA_!HMx@-s9|^9ElKarU({?}dE*;cH*|=FC+zY1Ff7ujtUGtuS
zo3#eJC|sLX091M<JMY?{3pwLLs&V`L^7CZMgJ`&RFb>#`8p_D?jh}O{*-~?q88`~G
z;6jlyku}W2BR+SAcC>8L>V}2}*69f(q$<wioWl5N2}q#qk&YxOJ<`8aV@~%__xWMO
z4u{#CUr1^RAg2F9ldRIL&}`UF<~ym<=R%1U_1AAFkagwq<)H^gm@W<~N4Tzwe&!4{
z+L7`0=CURCF3N<@m_jMfeVADQii-z4LTt;w=Lj`N*8tJSa7aQ?Bz2`3IFR=$#?@gf
zv@2LExbmurYY#s+9|mhZXo;eDbc4}O{L40BehmAwsL3T8b{s6l1c_XjY<D~qY^9A`
zo6xOVrMryUCJZv=FaF6II~7h`bqIT5pP8uu<AY@#i_I@ZL^S4hZ@?(qSj!FmS8wX;
z>$OU;XUN3j(vp=c1vead9E@=p=aqdZ4?W55ulCjta0A#S%x}PC=5{Y3aGeG4PUJzV
zG*sbZFb=5p<k}<#=+m~6qf+&$*FM#K_$6llV#+_hDrc+yrffzL%|4pgK(1U*W`~Hi
zU1<O+1*w?_u>s$)NM(VquW#Bv$2G@P$EMs40K7#g80mm8&#%;0^6VwCfEcPjfy-3t
zPrlse|E5Ng76-!7l`0G>B0F{Q{~)32*Qf{RrZeeP;_frR9O)5DGW^WrW$moy`w%F;
zqKFy-f!_}s<UYtuVfZ)HBq0<lp{z)qUxvs@e9OSwx8G0eos9)mn<|UIirQQBJMQke
z0lgBis5pPiGC8WXX=t3<L03*5QUm3+l{N;TSu8+q6?<lemNod<-Y10@b1L{O-5XpI
z(<810i+r*xf^|Ui=}E5(1|x)M{CUT5gA{=^L<7L7F#}pz0G_WgDwljC$*LUOplX;J
zRV|_scivIjX^U;q2MVDj9@IA7ol>*&@*Jjuaq<fJTf6@LGRpyc9}sMTwUd3P^>kzl
zHS8D<BHp`21!4+bVwDHydU%uzEinqnfhUymXc?^p`TYwOCVLexgHaYcH3ej!^$0`d
z5*o-Sn=5-kV(GJzy68A@oMx6arn(wzg<z5uZKr|-wle;*X{==^8EBA?igJhHcp!^|
zGfaexkR&`7Ph)Ve*_&b<K=$)royWD`@`BPsM(o%}we7&a@y3|UQLNSh*CH6(q#-L4
zxS46<Q;S-On~=TMVavRe@D0-OlfRVutGJP<kr`W`z|yLK{QHpeYRu58D#2RiMK0#i
z|Go+sC`UuUbj9+n4T)K6$ZPC%z!D*?53QL%<g_M7KJGq?ZFU^Grn|{a`PDhpBGDB4
zJI;~aMBKXC#*N_lW@#j8;>5KAD*t>~&eNhaOj3mgsufA6Xxs;ujS`F~;Mdb43(yn3
z+Le>kwXe~hYzcY(sUQ5&*S(|FR2VqQpH=`Pqm|eVXn-od4K`0<<Y`ZJmNIhm6D&*L
zE%M0bL~~$tW1UOiryQ%~q5nK%1XnisTONjIh$e9^AmXXe>p=xa#H?jqwHZhx{|Kj4
zxK62T1$&RUPDDU)dW6oG5OreE{p-`hyhP(>Kz{O_UYdT%Tu%cHbQ#;~{5?H9Zb-dd
z<3vAV#Tj|(J*(5~e(TT^)lak#afOAoQ`xv8W=Yl_3LA=79zn7k7|0Uji$*T0F(pgG
z*=usKdk_mKglIFBssdC7X%$-7%$a;)<8dPPxQ}HWem;>Qy9Guid#Pt8k0X?6irDXf
z^|#8jh84WU0N?_~=dt!YX(j8C<-@s$W4_j3e$$$pyJ<k-VD<*y!(7)tn)xX~u~TLE
z?@8kH@Bod%@kH&v<PNj?EC+SMNZ}TA&~EcIqj_l?cPmd%+xtNOft&ji_+tkkl^0@H
z`9xYqVHv36t(baBTvUX8e_AC0G=E>Go}T@>-vQ$Y-x=TTr&=~P+;9p?UsoT1pdKdm
z_M|rbSd$bA%3JmF#k+SkH@hd^;mKb$f-Y;^Ot}o_bOk5FT{jNUd~)W)$D@C6z9bs<
zshT<TTH;})TNtkzc@a4aoR2J|rs;Pn3fgiDv+;Gg8ahVun3npY_I-C_lcCSX7TOOe
z-hlPL+*tGygaL)oPrGRhcfB8WhCOX81w*=mSN*&oBBYg|O`fy(BxDpjdDca%<xG@Z
z_*cw?B6k^qPhKQ<A@2@i#yJTu?f;27vyf)25M$JId@0-u4;8gQi-skdV`^j5e(GZ^
z6pGue2wF-iYazuhbcBnRE`9U!e**VR(@1;3qCRh0?{BfF(V$}W@ngs3mBzuSS7?2u
zmJnqdM#)Z#)by5A<K4TPGH637qQH;@ubQkR*^XBVPGK0ZlF1}A%xue-OY3OG+1vo}
z*FgBj9IUdTbP=za5c2&j1SF6Lahsi>s*__VZlizfocYz+PEUzglArb1-JQ{5laGDk
ze1GSB^Trw&j1OOjPgIi#DX><*r>>zZc1=tXY`<jQrC-W`drF<2=GUfuqAT4NF`KII
zyC`~piJ#*MoGui1R@?aa7@lE%6rP5GVe>O#-clt7C53?nkk1fo4J^QF+Pm46q%sE|
zr4K_d;M(-9CtoE-xO)`yV28HRp%}fjC?N1(+4DE9{)o50x?}9K`D+7Ju;Tc_r(a>3
z^Q4xC?{zZ9zeliiY&cKe<wp<k&%o;tr<N&iF*UaYio(Yy)u#&S3CcuQNts*Pa%kyJ
z8!D%X&<a-&P4>g)Xi@+Wu2<8Mw08b9#hz!QrEB4qOyI!hmH4|7yX62C8G3Lg__zGF
z|JCC%jbX6is`1cu3h6Of<28-4-BQ9DgSUMb>D(XJZ~F4>Y|jLfE+*thJd{uC4nMp>
za0ez0k=d01R*dlbsPOJe`)TCoCH!Pyd<y%Ew{Q2!O#C@#xGRXosZ3Fsr3W-hg7zl2
z>r7rPt7TxHU~kG?8oU>pnU=@#0O(s}X=!O~gwZgTX%_~)eZV9pF^qgx$CBZcfxlmC
z|F0AUH-qOCR-i6%G&q+-C`E*N*gbp~)~m~e1p%0STE^yz7LVAD<kFxtdM#<wPudcI
zZVF2)eY3HE^#YZC4D(lXihv4)(y~Ufo`$iotNDt8CmxqEYI%o({VU|+{&+uXjj;Ar
zg=WvltN|G0&RdOB|9&a_U{ChPt+9C5R<`}dCTqnqyKb4I&muPJ;SKU`GV`IJps${?
z6xnvbDoi;6L%br)DEJXGous2Dw5r4gX0CI0QxBSfVJ`n-fdjN0w`*bnt=op2IRs@L
z=U)X1eQJAoa1a79;@S_@N1<7H-5oO01mA3x<87=4Ai{<~DL55Xe@F3EmI?}pV+6i8
zQYgUa+|fWzCM{DRJrP;{5c8T5u5e-M44Ti@Tzm-?hY?_Mva03`*ay%3O_gd1Z+C`b
zF9~@{f@$IYmOe?+LX5{KD;J;^=ObHW5-T9N$AEK5)&~}mJfu*W7|op^FkwX`5BWv=
zV1se`nfiC(5R*J_{qk*1#8VOBo-8em@lg&nzrQQf#2mY<6&1&NdUWZXN<5h-(Av%}
z6tJig4$JF`3QebM8uk%ViGNvR_T{6wbTpCnqMkFVQbBoS))Y{7*O&<dIfJSCY4h^`
zNd)%W!R-sh&E1b>EQMwmQS##<-n`6X$1@Cpb<t`lhbO`*_Ak#gDaWIANj0tYwVgf3
zniINh`3zHBKCUVcQ7Ngqj2>E)K$}10?G`iK-@-)ZX+K(S9fORTE4C<K$rqH<cc1En
z+jj`Ms6>`OePw}ZeLrd9%>U37F>f%=L7RYMGE^jl8-nr>{AsX%#I|VBJ^n3xJUlP#
zeK(>sLF-$*Q2h%}gv;Q~g#wVx1xFfA1um+V+cHuqxUMl<V^>!FK)2@Bwf$N1v@`Ti
zv<ypAyRnsn;G}~I&?S{&<xqn8Rx4NsGL>GkZhB6_f5OCH8odAV?OVu4T}I~#wcqG1
zqA|RvF<UL;tVK#)oW3$W`m}#vtM+PX-AKMmySD(xVK8709PZ+!OK(2L@9jZBplsJ`
zfO_Ro&06{k?gL#r+~k^rlxHc(%#jQ|paxOFn~~|Yu@dU~X{Oh4Hp;XXM|E$GbDAUQ
zqhay=NbJGYG@Bx|HEnG}E(wHr9LLb9@)~|!Jb@}o7Td{M!lJ`IC@9DnH451r2zTwc
zh(l2XaRFK<UF=++*7X0A$wSmrj1<}7<tn6?r3KZk5bZZX-9)B%{Ft0-@0LSh2nLNX
znGx*=JICj<m*6~tO(kFYS9IX;njal&=1IA0DPGv#7L!(jm6>J6BWJd8+3cGPcIlq0
z(ZL@S2C+blXb7+hhk{vF+YIY<-k~3f#{MVFeFmH?U3bZ%?+oKS$yA6;HCPUQm=QQ1
zY7aEllg(3fboA+jr3)AGkRlw8==%Z6I+QTyILy0n`?hwHGj=}nGI&KqN~(S;SiFn7
zR1+N!p7jY8C{@;p=KQ`#2GFhIG}=KnAY0cr>~ZsVRD8RAKkjYS(R}8Ual87O`a(!O
zcoK7sdX3h{ZC)wkoB`7KVLgYhOATLTrOqE*lC}VGU!6Lcg#Nu1CtqRt`;*!8=0TE2
z>vkSir)(K;Eyly(J9GwoQ1jlw)w})@g!^b=<eeQMjYg`EeyMYeH)L4L;YgjFoM(SO
z1bD1Pb%^Ua8qF0KIElPy9mgH8WoVXXbf)aOR_o6(htBnAd{5rK1gV0m1u5j%zL#@F
z$=}7d$q2VZv9~iPB}3naNbB2Ha7H~k2qVpQ<TZiwf})ypr<*bta^~4?+`NR*)K3n{
zsHs!XpHyc#JgMwe4VsTRHBmUqQjC?tSQD+500&|U3f+Yd1x+bGXNy5OkzPVk{8*%w
zPrVP@rXu_?#=-@uQ~xcS4z@znlHxk%Xed)il?C!z{>*)qY^zoYAyO`NihQZQa?5FM
zz$MsF36FdqcYjQR{@JW**b9YWtdlYvJ|9&w*|t0LtJ#;C*m9(?%sLt^nj{NzcMwax
zuU>sNlsPI{<zzoi2H#w>^5IdYSq3CIvm|b&(asL=;K`vfWU%W_&FLYiTDLUhsvhUu
zPMb4MJHbS9qGkyVvfaDLLCqT3{lo9yP_40gT&B~~9LXbCU<Kt_ek64I!xujIqky~O
z?d=`XvmEID!rKs53_e`LdwBKr>s|wOEgIDB^whbCWgS&)*V^Wnj)w%FY?@sTgQ1$s
zrhAM$kqOk{J+AkZas^cVFh9T8`*dpBM-OHJksb%!FF*Px&W~AQ8Y=a6)DJ|D_^Tvf
z9(VS&SS>~dcj(%KQE(UNSZ4F*{^|2hu0r@9Zdh~DY}Mdyi+(&oyxXjsJqpbL<DV32
z7J<61>LL&+MQ7)%^udbzcQE7L{8Ie@%tOgx9IvM7kKYOu{FCq$;yK$d1{ewqk|$jL
zWoJ{~o>V7M)<)U=wFW9^X26T`)zfrOFWK1(YIGqIa_5iiWoEcS!3VIL$Ub6sDEhiW
zn%)8no&>a$u7L(mxUmru0y(hM#cKTOAS?RL>%THaufL1>_D0&d9uf;I1IS7rC67it
z!<fGoyqeEQVh0-1XB;Nhclgr1d%sqvB3Fu?7&wHHSq5M1eba~2@ddb}sOHFXxw>Ti
ziRfw_-qbJu75uF8yKoXM3R4`@@{q(aP3^{|;q~^M77#@Zeo-&2pzaaf=l_TGjnK}t
z_Z+YnOM*A-_Y0nHD{IU@Hb@);;F*q=pnQd>I&3qH@RX||s3tE(&<p|-^Bw5bhR&=Z
zsaO~Y2=MAESy!q0j-21kb9?*yQ%_sa^>**7w%-1-QvzNQF-8aV>3T0VN{~=J^6RrG
z_B)7aglyDdBwd^P(axyF`cvcw`|W>m!4_$DT~rZ*ph;fWkSKMECYk9j9^g4;gDU`m
z9czFu7pn2U+OvVBFpP%Tv?wxm5FmpBsLy<*W%a;KrxjKqAN*k-$7#xNS3Z=RF!EVs
zU8C(|?9h6wZB{%-TJ+L#PXDUke3Kj3j8;(!wI_E-&_(wl#yxZ~Cs!Tx;PMw;_U~u$
z^ArH9kxVbcR_RxWR>(3+<t=XYVPwN3nvt)B*QV{;YpU2zLk#P8%;>+JMBaGZ@Jgcg
z6LD#7C|BCgs+Am~H5_U2>L^Y~7A}z3J1}saDirc7ONXKV2Ab*_@;-#_O&7Dwla(ir
zBgBX|JbjE1iGEd}-i!mG2ARh3n>Jl^#%MAxDb~Q(<`c19CUo@_)`bg!2rMa4?X)#(
z@VH0KRCm`<!{(UM+u42jftOPHe)3<g+YL9*R&2rxMDbw4@#(_{RY+s_J8YE;;INP!
z0ExYEn)FP7!XX6hK}8V56gIf~#7yNL9q3q#2k$!kx{HV$gtb57FL^*sG_*Yp`bK)^
zn?*cgxhmphDr<J<-}VjToJwX45xd-=dmaFSx@puf&D}BCB%j25KBqe%kgtatBN&+N
z3J$)!K8^21fN?C~g1JzB+SX}l$Ng^Y{E1C!ieR2p&cB#5{EdUOZ_fQ6_cecw8B$)!
zydup1xi>H-JD?YJiz6_-{lu-&<*Q;3xw&cF-RC$r@Y7sIa+~LSsBa!&G3%y!GgLUn
zzkhzI86|=@ErbbgH{<2yCDQ!nYq;p+vV+~zwm)bdoA_<WGAEkNu_xP3RrS`z+3UC!
zda{qIYUEwqe?()+p7!iZ8Z&mq3^nL{&-OgXT|9Afcr4V?-CQAMM`6fN$8D#;PJzvK
zJ)XknPKEo4yo~>LHW>TppWa-vmnFe1;oHbVou>y6KR&jeWQi}<mj;0=IrhB7xtqFY
zhV|lsMz@r9k1igb>wVE*{GSKVAR1?9>_C7N|NY+Sr{+b>V4Sk<>gF|(wDCHYF`zn8
zXZK~w9PcZE@-a^Y1|Da=U)g{X`A42VafjRG(h~B!HDw>jO0CCK3RCV!pIa=j9jo9A
zX>N$v<2pWk3XFX5SbBdeYp51J>Y!xoFQrzMrtvUh?mx1W@5I7SD^B<K+|-}Ju$nnz
z^UQ+V2bZ>HZ*wy08LrJA+2$~ovt@OzrhJzAZo$?Qw}}R3#sB^!;@dLQ7jBTB8>4_Z
z`|F!>)Y~5foSl5X!UT&AMP@TbY4p0lfb{FHR>A$+G#Bb;!4KrzC%wr5^F?{q4sf&w
zJUmD`hk1p0>i;+#pTrJE^$-!=k-B@{r5n;uca4AV%I|k7Irh322y^M!9UR>D;#82h
zs$%XC5d~P_z<sC{zuyglhnh^oZaF#Nz<a#BX=bI@1+MYlSqUgIN<>DPMYEN;muUU<
zFxHnAXJXaDQ*Eocw&nna>9GFi220DE^I?LWk1C@<;oT1}HK<8M=M1i798)hC+h`(d
z;dOidaHCd+<IM51?K}=EIQfM)B#nRK#B`Ci-oo0Ni{>OZtY8SVx}hH11Xn9uT+6Q#
zevE)+N~8<+N`3+R09IZ5h>v^TfQhjV!CK%<Htx;AiHF|;_p;7Eloo=^ZQK6G#prBU
zisK*q_8g`Bk<8UAMef}12`)8T9++=D`w5kw$7WF4l=5Pk(_WYPgr;23$DQoAM;cL~
z1dY~|G}!*8mThyQKzseToMp9V4Of~zqjTTV(}yl7nV#(<k^*N98F!(tgRLeHnfpXd
zcK>vU7)gofhrXM6SH9dOB#VOSsNms;>)^uZk0nb5$T7cO_r&!O%Nd9!_F!&Y%^fL`
z=1v1oO0nV__bk=>0Z?rE^yyN`mgrEL&hK!?WG53QP7UUo$XL=t>+oxBtC{L^_m*0#
z=4ZtgttvgD?NgmQQ)I22F-Pfb=`mcHpw{>~UVR^W%jnOm4;gWw|JUx=>Joc9!&WxG
z?S@e%1CO2Jo?RNFvl6$i@msSdMlR;q?WsFdFVv&$UIf9LE_bB|%3JaoiNUPv8JAQc
zwjiK4jeAw5{OIitr@@E7B=tbPib+hMXV^*wv87B0Q#e>MZJ;&4#4;RkejY0qI0al@
z8NG0^RM$g=VI}(Vf6g8AIvB>ba3I1tt<!&1uA_>Ki*&BNgZ+vh)cfr`L5r&0x2o=C
zC(lBH&v5cMvg4vz=3(RcZr~kjY4Pgs-${30>1q6A0w4$&f#n((STUM;f8fA42Iw(X
zUtVs{lUv%n=_|%B<PPHi_=Lm;9y^#(hwd5U;LaI#&cDBSB`?#}m=UkRt$^$h@mt5H
z_7gc<p@nn%Ht5C5MdTYJJkHO4Yn(p)eevfd6{Xmd{5)p@c_yX9(8KU&e}DPsAjq^I
zwsA3kd)?dnizUs^M5%>uv8`UdH3w9vc4gnyd$|%)oD(Y}us%{7t^D=ZPArVaT@6vQ
z+ocR+S7ojm9eLF=AtMs`C7>*7KWF8l>I;s=IB&P~l%Au?+_Y3}6M)<7amXM`6}U<`
zE13*bcrlWPiTp?gW|y?rhwvZZH<D%OJRx(k8Tg@zBCoim3yr2<5AQ1A`hqRD@935A
zXO@i=#^&~XHY~XRzRLFS!Nv^HMoB@D3pow>BlJBCI6q>r_j+LOr&n@RLad!~Um@V-
zZ|fcQKkt(1w2Jd3m$(yiVfuStZq>o147uJ}c|rpdF0fIDH}%Y@u{bL%-xyIubr<XX
zn?B9t%gP*|ClKR08Ijbu9POMVzvSpa#Lkqq%~N=KzjkyawB4eCA>D1j(5}aX-j}r@
zV}1oy<~j!J)$Jd@IFOMe7oW|UiaLM7SU@5!SjEHwtu_yF?Jej&_tYHWtAQE5WR~)A
z==NJDVBXtt&tbX;!~H1h%Qexp?{!lqUf$U{HvT<r?N_f{KlOt0Yj|=`pC4-jZe&yz
zjV(zB>q?TJAL`jb6e@h1_~f4)Hl0BDsm~Xi+y?uWWd_ZT#^<R*G+7Aige_*32TEgh
zoNc`_E@e?oc_DG>0nyDhp`kt(a^y#=?VB%e;mFnW@}vu5rRRY`0-Fk{=iqQmIGGRE
zb0`2h$mDJ6XhDQ*E)uGkB5UjqS#V($pRu|>R}Gp0tl`YL-tY`9fD&XVK@LAz|C1-?
z#4cMYTda288a*%ZXP$F4peZgQmtFLven!Q&270?5l+p=@O-0ltMFTy|;h2vw%nS*m
zrwt}(^E=CIQOv|xHs+9z+ff*r2bLaU9&|q6N3n8zYu=^5Jei}%sV3m$Uq3kK8i+g=
zez|^n!8%JzV0oF2Jz9Jp!>71A*)LhRzNe&`cSmWyXsg-F`=7*44=?=Z-re|m<Ry6u
zS#tHtkE-EXb`R*~3X{gAab|~6X{OYs1;xg9oIrU<Q_vMmKZ2cQS7f+493r_*=WQ9e
z|N1-!Ft`T>`HY*N;x7gl+$uXQ8+%5||9;EUcOmMMK7-Wu=B?U%<QpQAHH^E<J)5wM
zT$IQ!A9G;fXN0f#?E4?H#B2dLnaPiyn}u)~2zB;51fa#)J&1-K<5T#;VY5{jcPPpT
zTy|RT6y*YIQbPMk<Ny`{|Nmx%E4d(bq0`U_*E(i?)V>bjyYBCTX!KvSiLrm+HL|mG
zgBL(cnnQ+rQ8{jXo~)S~ZePEZ`!U1XF#9Nr+G?x`#u}^*xH~~8P}?)No4OVveUXQs
z<&VazU`}8%q=XQKBqXF3r^-Wc6qZhr<ND2VRwhBci6JqwR?j2GyhNk9<;}=KJBW2Z
zu4QRFnxByKr%y?G!4$^EwL)V1Wo|q_A`x*w>-6jQU2S|qYxa+P78VNUT(T)`*3#}f
zIEHl6VRU~b8$h<wEYCP`1LV0Rr_slEC)>bvcw#F*t9B~uE*}M!G>~~3zRC5q6pj41
zMsj1==8zS??a0Tsl2J~2-@U$$e|L*L1MTFEaLZW?_s#p;dU%6sgRhH*at6kXj$4*w
z%(3H?SBN!v-uk3wMvO_d`QP9)lhQh0|K9Q<C4fD=h}}W>`YUdluc!xyi0r$ct=J1`
z{>PkScLXc%3RoS4yUp(1izFN*dDLPLJ{r{=o2KxmtrPuzd$SNR2>`FLcPK5rG7L*O
zTGX~(^@qdaW%P(nzWBls_eZS*-h3}l`-3_3+IKQI1#&2D<1g*TOg73=eKaZuAglME
z(VpCYQn>8<{y=bc*pm6zt4v!IYvp$9l>~(>{vr?0{o(f(rde?i{3@o%GMYrzz@Iy4
z#;8$OZ-+$MX1Adk4l5S&U+P%CP?VMRc~``aB7_0j2u1@&AT_p@6Hxt$IrJITd$CM^
z`-Ch8hv7KR1bzT%b8Or5qvkdS37_9;U80Mhp|VclfLj|jqtjXdB<hZ?>qqngaGtAs
z5jXvRJ7-B5pB}pxD0wH>=XYC%)bLdk*?@_$wT*wQwJs($1j(eaY&=M3Y3st1H<2Bp
zAS_hE)a^XO!vv`Obs9l|ap*Jj^@qlXtAY)f0*~xz7nQp_@0sjWJ$C|ogjcf}IrgRB
z^4W;t5Y}U<v|?H%|39lo*z7P~bZ$PSWT1c<_#&G_*62QC+$P3Lh5YrvvH}vi^&|6H
z1_$DEW*BR$dBL=>+W6qLzPf|6O1|K(l-7l8I3l7*`ovCFM#iOrxQXb-d(<ClK2LpW
zKEdBE?H1v&SH3z%`U)BRk>?&dZOOA+Q5Tb1np~V0JY9-BL)#tMb-i|ge@d(stXMe9
zN%wNrS!lp+BC=68f!dLeh?Y2XMZnX(BF#EBgc+;<>bYlGxo3ida6ppXp%2G;i^rFO
zK{dGlYI-B&JyX%7i^ye5*g9?t{Zo!1%Fy7Jn$LLdqKkZV&+gb#cUqR-uG0&n1xDu*
z#z(T1g>g%7i$hO?v~;f(kb=@BS9ku2%ezK26Lj~!oZBm8rtrA8P}YD#PLs|>i_0Ud
z8LUaSP|8?LzmWNA;s&8=MN1c%K3Rp$xs&@5Ws=KSUwb+#h=8WQ#jT>5;m`SDwFN7%
zOzzW2wXs{1RELg`(B6Rq%UWhK?3SZ>>l;Xs+g|l5T%)OA^xR-U)a;iFIw=r2T7&?9
zxWNW`C%Gp9XJ<!5Z!Ni_BXHmbH^_97m2ZKFd<EY8xsAf}&N8oyaU+U9erZ88cHZi)
z^zL0?d&YnfMn-PnL%6j9Fem3P!g-jwHW{E?P3!bF+|WCjDk{o8&Bb@{$*|EC>dUa@
zz%rEyP7cy2m0^2NL_YrF!o=)B?T5>gI(Y;I_k$B8D%}hF^nLQ9XT5$MhS?<o@$h1A
z!OmT2u{D}qpqg#HhTQZH)1&CM|Ag7%Xh7SXhK{zxUjOff#6M2h0W4e5W)qA6{=!QH
zAjB@WHYhlV9l1*EM75}mMK6Xxa~hbRhv9!-;&#TFa~x=R#dAbvT%(`EvBjnYzUt)+
zt649O^b|I`EcZ>#9{g>Cy(LejW_xce%h~bHpXU;l-WM-k^hxDfxG-|=7fxu36-FO(
zL-DhHT{Ozx{1K`LoPWNU)z|c5nxPAQ$SXSQuCS=3iZ9vY=^FRb4<V<0BimAzKFn=?
z`1|Af9`c&SXbNFDInO`yj-W!}!}Y#{=LA|WYza%!l(>^|eDX4;6DNeRLv48qK~lQ&
z8c>J+PL`%(5Z>Py;-1VBJrXMG=GqQEtOhKZza_B^3_Vy~5pKHN-LS8}KbRJRVSNNY
zDjoUJXKoWYRDF{<^6GxV1t(wJCcskp^IytuT6)4K0SmOIPgo%FpU4`+x}p76Va%W6
zHu2aeUs$QmBk@#yy~@hxovgRL1Ya(fRygd!^=a!eMxIRHsoDPeVb_=Gi*AltCJ`|&
zKxDIRVfMc1o>i1CY*eoZe?E62s?w<#rhUL?Orl+m06G>VA#w~*?);G|a3e%iA6}hB
zM>8pr8fhAc;Gd*ieU77Q@D`n&I(P(+8*3Xu{h;kN04A?vslnB!PbFiQFc=FJJCM$5
zg0DZldP>Yus$0tELreMQ^gAxjs~6$dy0=if!<Ys@IY#s<)~{6j?$w;a^W$PICMe86
zs^HEt^qcY#LJ=+I+^TP+ksIr(KXzxtsp4AuhbfG~-Wsz+@^Pb)P(Eus`dq9kt9x!&
z`oAYMeCf)SBfp)BF2?>|65Q9<=h%Fz;<E7P3EG6@Ehue)NHXWlWN_f~&2F<S8cR|L
ztNCfatMyHthet*j!0xwNu<bE8_(saa$h@d5aLvuwfI++PZ2r~vyZmb-zsT3v?F09h
zh*_)0&%DE5Fa}j2zsAni)zww(#OvAddfCsCWy-bN(SN^#lHYfLYRC-3bypr-D90#+
zrbxhF>%OV_gHfPJ94O*o1Johf8!bO32Jn6)`ZupG^<4&|q^0HSdbuCVuj?g#TilVD
zmG1qgN0vSH&lTriZ;#LM^Jzv|&0s9}URdz}wcq2#3s9GC04=e6&X9m7yzgi%iyp4*
zO}Dgk@qq(2%YXciU$e>-Q;R@U-$iJmzJjhcqP1_&p6~a#5L|;0#FbD|*}PyAQJq?%
z<oSn|To77Zopk)t#~ehbweZWLd8nS(erAPCpMaqt_2rAovKBS(TbC|gZ2mK3`q-WS
z^q#Rt+CNt<T6E%*jPd&$hk!*6ytY6Ik`}Mb{7e47CBi94?A;t2e7CiMP#8Z{jqd=V
zj=i>^%}0<35~>$yp3BIqxLzEfEs!e6t9!CDa0e@IXT$jTT)XJ{^3`HF#_Wn+q3^r9
zo|`G`Mbl!0Z*Ue9RbH1k@fWOIGQkJ{Z?so^){QqaMzRjT(R+vL$+zDc1a#scLJV|u
z06t8NovY&g7YsO{&J%Z>3m$@V#I2TPy2oTY_Dt+pDn=T;Y|VJJy|esqvOUxj-!hxb
zPa}nEb9+KR{8TXXI#*Ki>+DFr%W&_VMT>$jCNqhB0c>e=8Sc9T74890E=xKt*E=YY
zt3ZY)Vm3cC2qf#xsq<tRSKY;pv=R((?uX}cFjhY6SCsy+wUI@(`!#p=Y^DT~+)}ed
z#pmcME9ip-){Cjmzb~nyQiAt~S6hGW>6v(M0hIblJ6nRotdJQMAx#0WV5uq>VE(9r
zbJ)SUq)hk%lvNq)HyuMoz>A3_umHR}U*R~zeaHF$aRq^N5i_Caj)Jex%TB(t&9of~
z2pFsnKq*c&8t?<Nhki73K`h_{U0;i<<UQmO=!Dnet|9SZbWVG(h)OgWqaW|_?2Iqn
z54(d<{OQ<sIz+ix(L3kp;xS7^2Y!sFgGiVIx5)FpK12e<5O@xj`{iBJ6Q0a|H`PW~
zN<Y?7X$%%X)ANtn&}7rY?Mn1v?uAP>96q2TuN0L3=fr$Xz7tTejx?`iaJy<Wsi0Oe
z0#LkZ*{qaUz!(LX!U>Tsc#r%orL#;Jfq7+q%HsJ}S+yYT?l7tiYneS5y1RT!M+5m|
z_ue^6)i1=Oc;m|eRRb^o-)CfI2TfaUF(EZ^w&B!U&L&P6#zmdFXoNE^jESXUwi%<T
zkL46g@Oq0P#g(~6@-?#7T{)?@vUEin7KkI=f#G|T=v;_V<`4bwVExDwsdRaBAX}d@
zj4P|*)n}I>)|Es=@J_~jk-<2!$i=xAE#b#$yUGtkNT_QD#~gO@sRV5%WX@s%1)Tr$
z2B-!$#xh&Q<cq=YZ<T#NE@QV@<Cb!jK*yy-jxPGfJL_mhwR24&QZAt?`b#!L=E1DD
zrF)CdPGM!R*`c7N6;KL*d40Jg#5di;NMp(He;@lryWRy)=tvnKWvq_y_eZFBvvqk3
zu+2FQYc;?3w!f*0j9kLP9LMI}G?#IZGuO>t*wn)RCPj+fie=~{$Uf^eACxbCN{tpy
zPN)%>>D_$#j&3(AAKx~b*T1Q3yxM<OnPZvlHoIRJ==eblvc<eg6&KFrp&tcK)K~mi
z-HhY+7$8s|+=Q+`Rv$1}A^wC_=J!qzA&sM{M99;WUOjb@i~6|=veE+T{CNERIUq;d
zklo45d_>w6Q6tC^<(AbBlQ9Ba&#EQv5r`VAb6Ubvf3iC;UZ+Ggg4{i<7zAhdU!l?s
zCsqw{{M6MQRXUKh6M{$FJb0RmVRd50nx$;_riN-5TrnZe1fr)Bj8OmgnYGJZ@cVp$
z7fbt<1VFI)_TUuME>4w2`*Ri`)2TB<LqjU6O!6p$+r)gU^{a0ZdhhROXGv-GwLjK4
z-bG{yOd0!2P3r?zzFjGK<~Fo*YvS!#8Fjl$wz!I=S!^p@8C<6@y4+GW_;65qQDMiB
zZ)(ru#0UZzA;f#3#f9S?f@{}qw*AUcJcVD;+AZhe+RU><FnaHdSWKk+)bXtuuP^Y=
zeyvtp0H~CPUTA_t5HFaS3n*{jCl%R3Fdc>Q$b8M1%4lK)Iye+GIqv-$^||k#LKe?M
z6aUN`>xk>ucT{+}CTiXw)k94VH#V{045}~x0LUQP`^D(+FndoA=%%EI%XA%khHI5q
z5%+Qj&3w*xR2JK3d_t&-0p3XTzsZwK9}air6x@QHzoldJMSw<2|B&b0<=1)#afbO%
zyTR~eh2f!iz(Z@}{(XEkUZg35Mid|HwcEV=F(kInW@o;gVD(O(?n#3w4D>!kH%K$A
z<{nj#@sIC%r&zLOVtI{`<&hqlK#8EIMadiNa4D~qcbtTZpA0|pN48?n4SynKP8sLZ
z4_QwQ!8ix5u7B3RN?g9?NY6jSnnO^mXrzbY%5&f%())y^q>g$0jE}%H+feQEtQ{Kf
z_<6%Zf|nFZ`3{PsOK#t45nJcHbEg>oioZry;KNf4M%^*66{u1piHPoshG<M++yAjd
z&UmW*a4N&V<(@s}J?E3}VyEh{?gnwmIkJFKAV%i}bXD<!FFgFDXgRL`6_|j9mp^aX
zh&x*P@(f)^Om`OU-W`nFyC3|%<}GKI--%IeL770f8ExdV?<xgrHvIR|wEsudcR*tu
z@Bcqdp){<PRitc6AylL&vRhUel@*HOF&m;%R%Ij-Wk!@eTXxA7LPmD7%lyASPu=^w
z|L2_BJ@=lI9^di)yx*_&e%=I<-8HxAZ$VJu|J@{K@T>Van*NmX`NFI^2w;ho9P^hy
zimoiD`!w7^rqFm3pF;ieMIL7{&zM;>U#dRabPTDb;oq7I?DnZPsea|@)O+N=C1lA^
zYyMuX<RB<Zm_e+N5I}!<f|(L01YYgi2ypb54>LgLVum#AQ6$jzJAB#}n^uj@IsvF=
z`<Q6b@n4C(->I6KnpC&2Cc=%)Z8%cL6%Sb%lRjjTsko5$-><+1)i^`$yb3ELLuy5<
zF#E+2M$uNgA1`)o$k25&Kdv?Ud=E2)SOp4Y6fo8*E8wiiUNegf38FhaG{eBiSaXe+
zs38zg@bKLj08f$?2y<&c{RjSIVPe$T+M6SwSZE7aF^3aaps)%p_aSw$o8HOEqF(<h
ztC&Vu$s<2Mh$?z59nl9lbxi(~{Snvl=NU2}hF}cwF?pu$<xjh3l;Sj=-?u=R90^oN
zUCNh%>;I<?EC~tv!5bVzQsS5xPGwwtLQYBc;Q@3#xua!*0Z34ZZZ)9Ts{E~asnzDw
z$E5B1l5i_PH4VM^=_f9H<Y=7Lfh#s`25}Rw1-6r21c#amT>hl0Vz8$3eDy={99Wcx
z<nTe=vwwAm-s0sO1_lz+{js^ZS(%K49y?$A@E>BIJ3ldpI4`1)#H&%z+swcw6uU%G
zNDqe?vunYk!qzQYwn)X=TKw6$v?T1lXqofnsgk7E89o!2=a0u?T2s5VM+gfBnKu*S
zi+3CCMi@hlFpAuGWr%MG|4#^~HwEwpl%m0X4t*Db25rDE+Dck1dKg+VhcluC^sDuo
zWL%k}gwaQ9K#)m-Y_@xchkNv1T=AdgwqiT9BnYf5`<A25Ha?A_L-aj%;XUFQMvCvo
z38Pt^IAQQq^HZr~I3COXExvfr)Zdsy{(CJxpLPA^@VGfPnE$20<g(8Rn4c<Jjss$r
zMj|^?Y?=>GoHc1TwQ;+7NwW*QifH#a3nUIqBr~`z@z|^Ka7&1)mBI1sibg)?%C>ap
znJG>s<zn-_-3>pUN4tEkrQMsttE?=esNDktVv|=$)F?n^!>Nbc)Hdd13^RaZMTB=Q
zQVlL4!*HuBkpmkI&mew=&*{>;N%9aemdn2Bd8wJ^BY8UZRR@s<;XUW1qZ|Sm>EI6`
zEgZCmVVx5N!VsE&Yq3;9ty`(7aYE|o1ecfT_wc(#(@tyHcF3I@dgN=-6?8?k`)Ml?
zRro2B{;co-dGfGOL6k@kupx8(&;X{5>1X<|>Nvc0Mnm#k*<XPygo1t~04aMPOHA$V
zLMEaNt78`l$3|m(DU?FF`0<INM2j5vKf#7r>3bS`BLp1UId}c(d!+;mVqeFwVuiQ%
z+e57D);)R7!8&XAtNj4FN?(!vtbur3OL3*h64d+R++=+O2}ATc{8v$_n#0A$v$wMK
zP1cj3F^w}#-_*iozxL-!mxoD|&sFsV!+@*_8pG7SO{nt(S^?X`Ae6`uLVygbeI_%O
z^EC?Zw>qpStyDWwCg?=J>U9v-`5ZxF=s5KoVwh4g0AH44VIn~c36Vr@5J7Ak#NBc5
zAd2bOR#%b{g=uIT_QriVYmUq4u~+-RE$o|@(RYLzZ2IzDCDqRR>TQ$u7rYrnnJ}!#
zZVN`2Uwn;+v~5^hu-;Xca)!}ih`g{eHw~7R#!F`j*mBq&FU^%TZP!!cwUKe(kl!C1
z9DgVhP!OF_9=}nYaN-QPu4mYWv(X80TS%M%02+Pf?e(G=El=TE-Vf+fwLI7;9V%*$
z7a&-g1p*Ff)P?ciaxT9$Nc#^<V4%NBA5c_*@|y}*oAJ}gCm1`d(#~IGM3sEYV@F2%
zz7DNBd|mIgwrd*H%pf^te6t^zgfi^)G)3<-O>HBF3^;ZJA?uQ7T5<bx^{vpo#?vyq
zw4e9N7aLZ2WvkPj_8D@DDrbeoN%4I#etd$>b+f>9QSNSvSb1gfQ8!D?(*he9Ca5fH
z`N)G=;H!_uJEsiTVgB)`cM7VRSBJw5qnyz|Zym~6to!uj%L4e;)ue6PJ@V79VDaPM
z;pOvw)`Al}uJPO5ki-r)QjwS|2rn3|8Zw$Sa594PvJ16kglIBBVVbw)=Mfmt>sD;&
zCNRwp@E_jk&SezKpKS%A2-&Gx#6#=?#KxWq-Q(>$cRC8+n#VQ#xWan5toO(B527J4
zRrzc~dD}?^-ZaIvf!4EA2qPf185A~I4+&*mXNd8d$rsCC;z3TTNzzSWr0k!~B^Ec#
zm2&1SkoLVObso;+$8jjp%8oF@Z7)halhXg4Gs?2aYVjVK#A{KUbr04{xz}f!w4Q3Z
z=D`v`*0~Vggc!(aC>HiE<Z(BRI#(?e!7Ii>P5B$nV9T`WdUA8ip^(7?Kum%NNG&Qd
zRvs?WTRe-KAexmCGh6-UfsUZxXXTl-nhPq)S<YsEu9X8#Iq~RO8Ud!O=W#quG)d?R
zv5Svk3n~%U0ub}z*y1p|*S?oKMm^#OBCC;;?4J7y$O-jx6Oeh5JwRR+vH^x>AAI`s
zY0s@&C!12(Hj?RIuI-rTWE^!9THA+cLrVTZ*I{%N6@_ItDu9YzY|Edka7A^g{>}q4
zgi5N7N1je;(6Mt@V!2P<sPJ(*Jt%+m=tkdWfx{wgl1;1e4cdRo22e3R6~3<ZOhL=1
zg5v`Uk;>mZO$F`+1ST}9T|)Wb8=5EvGmR76GWWR1F4w+><=d3dx2cWazLA7Ci}q1&
zxvqiLkB+mi%@&PejwZ*Vodp&hwfdpCkz*b`Yd+kkRP{)hdbYUN<i?{Jl44tm1?As3
z1!+G(?67ONk&Tz1U(nc#G#vSoAFjG>xZF(P9^oAu^;<jqz^{SvyjZncm-|9#alvq)
zr?Ut+M+0KXB*tJAlS56b@j`mqof<ZKg4v3!MwEH=@c~#pVu9}lmRU4S{wc6^LB}D4
zCd?7pbVIVNi63Z|te*v{tOB<GQzQ@3fC2YDisy|$wE;V{w~;3mdH|Wvmq#gu$Dw+<
zns_z|IA87ALl&DCVWUj-OgUsn(N_0$4$WlQ&qTfn&QzP1zf?z~20ZrCFj+dnc#tPi
zWWP-ly88*rB#4lEaMdRjAs&%PH~5v16S;BdsM`Gtc>6>&AhHmA%~GmuWQm=PIFd#3
zl-w(5R}GF4%ceJdI~gC>HK3pUkaZ8ljxq{O#EJ#)*4CQ4&!W6;99-bI%PB`y#-TDa
zt4zCL9y<u%%9z2~)bd&I=1uO<;GzcsmzGeV9;s2xw>+uZ|FFcg>&wA8{?V@;Hzb^A
zq?z(Ko~uU~CKod>Fi2d|hcwMWyaf#ap$THASjiM>=zhKoC6zSrsYoFF2bGM@=feLz
z3Xw@UptdAMMUu@*3hS;5U-sjqu)chOcoT?%b^7vt0EZJjsgSFXRFgl0OAEar?H~(K
zBW9dQx+Xfa-Zr|hQ}HaNrY;E*qsRJ$4$aW7@_jJ%W6)oGK)q<1h9d2M=g9YK7|6gD
z`jsomhV?RZ{3NmH&<wnw2p-ybnBd~Xkv^g@MQJ}$8@){TRm}cti;0UtF0Qd_Yyx;@
z(v2sz(JMqn<^MH6<eHCEfu2`+ynAS8MsZKmV}M8`p-R+e9{p6rj<5^XJhe3iQEs3s
zl8M`={cj>)JNEw-03h73*oA-s1Ow;tbU@xU)HEeesY)M<%e8;}l(mWWwV9U{^4;<*
z`qNQqAB<!={(7t|64p(-vLG4pZ?MzV-y<ZXisgHjQ<Dasr`==ToyJy#r|)$Khaf1E
z@jjTgfb-~U-d~^~j(c@l+%#($8dXRLB&i@upD?XUdBr9&J3drZytl4R6dEg=JJb5V
z$^?^%{dAnX8VYw8@ivk?V%!e9`8n)%AXzuW{^ZN0aemcjfshz47u}3kU1~j|?~ilV
z@zlPU9k+S46vyt8R)H<~t+m_8Og!j$Bo#$|k*)_p3rW@|iDKn6-EEFjpSD@H@m1vS
znb(a=DIHND5~!)a37UnR6>;jXa}~ingha=0briZ8pMTN7<Q8PEb8vkL%5QfDB4D51
zP{?1HcP7@0mV8&ewt4$AB{f2fPw%qq*g{5alA5x6_-{L;tUqwWdNsWhpUr88hy%zi
zWjVZ<66ReD#s7kg=ZE5Q#TV9cmeH$qYlU~oYGoh)Y#r@-l?7>4D0>faw3I_=;xnE?
zHmCjm6`6}LS(N@|fDY?=o<VUj+FP|XCnLH3OhP&Y*L;{cQ=Mn<eLeP)kndLN<Y1h;
zJU|+zm1GeY(<-7EQ;X!mb6qR>p!QsdSB(7OQwoXzF%_%aD0WOMpX@w;AN2i)8E=Rp
zPtp0rjx2$f>%LT205#8g!kDS_VZFM1Xo31q`8x{>o|)5~g=W&5M)x1uExe;|iOanS
zGMZ;HlgYw%3kHawl^Y~_5A?x=-+7m@=st%ap!)jnycCa2>}w4q6`!=M#3xaun1MtA
z^SbzlSSp~8$>zfUiW<d5llnnh*bg>pZc_{8B@$?;dQKYH21}S7A=_xWkxNiDCSlCT
z{P%dc-*@2TP0~(g-#;<>oRs%JSdg?e?&=~;mKH7rl>^H@G&E}$S&K1Gj*s=9ffjMc
z@QKRuiKTlrmvJ?N^d%xBbcEjYsJa<UAj)rKGO@hIOI;3q2T4Z11d=r;Vu`McBdqRV
z*I*gL@rcvy5Dxe%Jxp`smBeavjYmN0pyw?-Z69BJ@dE}*wtr8Y`!jePuJ}02(P-qo
z#^|^Yq0Z7qkaixufka93>Vp_ND*SKNP^E27ht#E9w~t8EqjL&QUFhI2m%W(aV{uyR
z&bedeiDX19G;rjdfXB|`w<Zq{Hg+6)pzy1IaTBa;4vVIH+3P8kO0q_Uh(|=0cOlz)
z+|K|jPt=d^=1^XYzyJ4Bn2j)PgA%l+YT4~yfE5ro649L!RR<C`PJ<KPPBvHqMjBY=
z$#RSKR|}=B_quAo+iI<M{(JYx_1p)0?@6UXCQabFIx!s_+)p<43{P0dJ0+hsG;#I$
zW_u*xz{y84{EFdJ9Xyn!j~iN?nn96}1uoeq`HV?HFu1u>ZR6$P+wL<%dp5|sNMXGf
zc(&JI9?1C!Glw);KFzU_pdmyzn{+R_pXF3~qrCRvwr30X7?^RrpOcKau)UPyaZXwN
zGLK%OWf6uukqCip-+ZsV6f+U{l|xY3Q$G%b<^&YPa^^Wg`y9XiJ3N0K>F2;dO8?j+
zmO%-cX-%B(Tv360>y{qWwKo(Vj77>U;#w+B8d2IUY7gEdjz*j*IJD$p-ZoB529&LW
z&9&XIbdSEJ<MIw-=bHL=rE#aC1E7F5XjHbQ{a=L>iTm8X{n&lPjB%YiS8@1Q!aEIJ
zyFF=-cwt?q8rs9){GqLFU))tlEWE1IE?pcM8TA`J&atz4{(<oMuCtEOE}AiZj&LXX
z%eUO4x<}Q!3Zu|^<vxCe_bTs40)#AN2~70r^D(VP@ms=3rV{2uD56<~kAIY}YuXDb
z!d6nmDL<1ivQV*zEMfi+^a`m6=SClRZ$AF|!DkKMy^qzYr7rc9b=^xj8Pz|4wMMNM
z>9%864*JCCVtx{)*gsilzKn0`QHt=9azEC?rjz%_Fy2D2!u6?*AM~|~Z@km`41z+e
zE7=<94!}L&QTD3|pc+IgWq+2w27;yp{-zKi+trk$cyz7gJlX;C%Sb+15D0Zs&!3Hy
z_I2UmUwTAZChTZ1Iqf>)4~!ez^th~?l}iMjYVK^k>+S8=-hO7z6)r!K^fySJ#q*R2
zh2l@UvwIj2t@_KoNw;E$QLV^@LEDP2PKNSEE*g;ANOfK507;Krlv>LIRg!~2mhK?n
z@7~1sK?K0ZH;5(_uF;0IgonfiV}tp|0rEWx7g)Ay>?e9al#kkFQ@R%j6cCLoNIE*X
zB&)9vdiU-8v9jF>r1*;)Mrxk<WN+rr*1YoD9yOzr<9?z8EcKmr;kPVL%x3?Lc9F74
zCJg`I7CN2=2b6YWK+3l7d&d7Zgv?p4Z`BMO(K@T6oQ@l3X0%eve@9}UNf47i{4Rb3
zG#C45z(1BX09nTWe8N74_|aXOe>C*b)2Otkk%tFLox1Pb;+jg|$kv*MVA7(d;`EWe
zGPwRDR@`1pK9w~n@$2Ol<M_d*XL;=1fo)Sq9eEG%Om=+#&O>H8k``-x=X78KL#I4-
zyae2W2=oind1f%s_)Mf=lRSwN!ok^mk|uXB1}`q(R~r`y%1IF-#pL2Zx>Xx_(fRt5
z4evITHSGOObwE#E8op2UA_6x%h6z^N$&vmP;iE^NCI?ly9p}s!5azcII-0??kv8ht
zDxGUXR+z^@e;f}a1)a=_GPj#}CF$*ea}g?%6y9(OJ;i$yuu-xPgtXkFNWxG-NO#ql
z7_iVsNG=M9*DwS|)@VdXhKE<20Q6+%@N+uz?<wQ);n%P4iUb%$=9?~d>284v8(Q?A
z%E+omX;6g<m1tc^rX;f8!+=gHNtl)tmj3<g;-}qbvp*f)=IY@Kt@iMj!zWqI?=nh$
zPBkfJ%ELZB6{yCZqeIN@)jNaDRhx7l9JwdGh|<!~{5;j$H^^)Jl;i#_3p15Jhmxfn
zl{l3Smipd1qAVd=f3@jGXt4nz!}2CA(S#Yl1CDA6B@=P1tAxvD5!e^nH{xSX_R?;c
zRBgo5Eutz*5<?>7^ZaRS*@r<gBjVkk%Q|X}gDhZSexc`F`3Z_6Cn^P)Eg!Ntx%YB0
z&~BoIrJ;x*+vs;*uc7X^x-sNi%JuQ!G`(Zr9M2?1Yz-Pd(rKq>Y8n`zC86h+;zpjr
z6C{I%BBCH1O=>CnMO_#d1h8W7(2O?oAk1#uc>5k;!|VDXMvA_5wIkRfUbq8^p|$_^
z%5Chyt~mRN?6j{gA;|3|UcRc3(>mR~|5p;WS-0gIVCmUmIp2=AH~85l<?_TdSW|r5
z)RN(3Bie6Q>&o{x7VFX8igx#Ux@JxUHHW`pGEh~%_hhpibyur<Onqvs?b@S-B_tP9
zG;cg0Gmy~WpwFHovO_D`P|hHhfzs~Q&r%+JLqR^QKz+-zL8C<5i7Lx#lgW#JvQ$)5
zeh!&WfrF#k98a^*B?c%WRqgA<&mby2()ci?6u+(=Spcd?R;^EOjG!lu6L4BI76jYC
z+i7$Btu+jb3zwE}ZUbdl3f?O`gv&~u^bY7`O9*I-&R6E?Qrkn)HNQ&}@3VGA{h2ZC
zq`#b&bg^Z1;BM{o@;x?e{!~7RO#`G|vE@tDUq&hX_+Y!H0?FsYYbw#&03w;B7|RGP
zrL5UUcy)jwDlm@vaAjk8r7}3Hd&>i8myGtu{SNdr)exkTgwKhzRD>lCyn9r&hmXqh
zxpyi~$rX_00|*292B`gi2|28omeopsl5alt){)O>qnG?s5`X`AkF|SP$j%(25q8OZ
zd$8XIjoFaf0BGM$ss_Pby<*W&6kB>ql*GQ^b2#ZuA0Moj5t7q2ztzxaP{qKAI`A^X
zXIVB@Qz&ga7Pg&$H`V!qzeYy`z$IyU#RcbvH%2PbNh7WPFDraCs{fP_BKzU6k|WAk
z7&s1)McEu*Vv1Dja&u#PhNUkB@1_*f#%P#Cm>9*aaRG>vAq)ON6j$xVu6Z;#+3e5Y
zq1BfhyWFd<RxSGDRwsUY*P5p|u_>7wX+7})WW&`iX+-<9r!{C}=5gkAU?|KX%eIw7
zv)^#`C@>|lR;UkhqS51D0_xiNKQ<B-GfXkWQJvS=nEJFaHTZX*TFRA(ZkxJ}E-)!&
zBn?UBFR+_BWbaK>jP|^;Mveyz%Z5<fG26V(S_S;86ieMR1<QX|gXHVNU!tX<R=-e7
zxIvVf!uU!m{RT@Zyw}VARQJ8JEX|X<_a^yWxy-S)9alMTZ2}1LP{iOg1lhctoaf5y
zAja->$Px%%C9d5tKun7U`i(5Cwbdj|Am4Rw3@LWXl!=f-pK6?m&jNu4*=}SfRKzBR
zb*}T_-SUjr6)7JM1GgvgH9}9%780DeVFd&m56Jb+m6eTd+qA4ZA=~p~`FkskhMQ_J
z-QT2hx;c3o@YDAv(oRJs;uIpr5P%%+E@vwqfcPQvA2G<kdmp08KpF9eM480wku9+}
z-Oa|^$%8^Rl%PzD(~el$15NQ`nV*|7A{Om@5jMHa2UCQ0-!Ff0(8wq8hZ2c0GWxf;
z@Tc{hT{EL}P{kuHJOm%>6cz9$@Pi^`c((UO@M3daF_Q1_9J6D9h=B}=!zca@oO2Pi
zIgAvs-jDj`ruya89m6K)zI|yO%Xt3n0mr4W1Hs_yb^W&}*=GjDO&IpOUSnV&kuLs|
z21)?U$hON}Y>h<1$8m5JH058-yKT3I9~rnb)<_mPAqVGVPy4CI#q7<)Cz~i9jgHRF
zM*$2*qdXK9t$yaamFPc_B|fWKvbJ4yV^FC8^XZ5FPrJ?~pGua#Vi2m{DA03J{$JZs
zLA$`7aR&x40UZUd<8Z;-95#pgz;!gIFL{EIC7Mor88{0}-bBF0gfu-HQ@F~P{-3L+
z&<uMokK!?&SezSkSG4HOn&Cdrk5wPvoIK^a4<=A7*gEn|mXmf5+JpZV<0GwaI!bDP
zmjN5IzQ~Vl=MX!cShW%xY8pPq>K@1gT2H(=W`!P$QZW+~M$Ti=^Vcx}w_lbkKTQrP
zy!{@BPxFqwT}^q1334hho(PnmWSI`SHb5FTG}>DJ5Sgobqfkf_rorb;a%<28B)Meu
z@zx>I)qUQ~AmKjml5^|2?3}au!u@B{T4&w*<)&de3m6<(V$0e8CmNLsZ_y@fe%aF$
zL`?!7Q(%7~ApZLjsf0@ir36sNt1h!IYHq1fj;LCZ^~0eU#lIpPDM4CwSn?l_2gDTj
zrX0w8!*c0oi!^G0M*`OK+$1g19d^-+xyc}5R8ZQw$X1U35lE|wW?EuTG`g#q+n(=n
zSt-&YQ*s<EWTh*EB(3Xce?go)Jr{2gAns4KjLUjU)yRaA$RZ+368u@wB<{0A?4UJ(
z-2i0y93i11BtZz{1ImUa)Jg(XQyi2thpH-em>p@p6d>c7;XmmM9L9Q^O;Gt&&W$J!
zablvnXCyENA8K+3_(e$lV_{NfA)?g8;kQBhQuOaXAv;dTw)(C@dOY;LXU3e*;vyG*
zRXhO9Vh7%qx=3zN-?uMsFR8i4ZAZUaQ^zP?UDwvg^ZMYooD;;w1in594He(_wTs$)
zI;Al5J^~%Qad_aL0)n2N=QriEpk6$SM1tb7IOE^b6EDBm_K8`?R5Uxa{+;o5BAc5+
z*|U~~g_k7igML^)EC{lH{&(kUB%$yJey4DU<DLpaDC7_Q!Nz@8z+CzRVD4jtjP2jY
z<8>$&^I0{g3m19#1+%dw2;)YQW}kk=3deJ2M{CaVR5fc~-h!mGC$YW+2?s`XYt>tr
zz_vaq@MWo3!+jsLh{=^5@1l#0TKomh#oSRK0sy2tgm1qxwae0T1RMK=VLN`EJKdiU
zAn!^w2%ZJ}7lebBe>4gK;Ck0qE|N$ya8luFH|c5*&mY-;TD?i6$3`B?;G8nR-oyiB
zbV7m$f(hagKtqRfF+pP>sxCVR%*&>MPDlqIVo|`gr-YlxT*g|mR(rcQ)hJOu;=>-6
z4_neT)}#S&R|cHPLjV{Au$JLD8+W__4~|cM8(ll+;w4K+O0ZVC)u~R`xSm%jCdFmg
zR0ya!xMR4JFDmp=z$EMCjdCS~%2+V-GW|8Wb=_K4GaA%W7_tVMDvwPgII4+q7OIJu
zf<4v{^`v6if&upuXsTLUTM1nHhd4*3UWiITajn88YH0OWf=s)xg-g>eIKqQ@e2Ib(
zLaH7fB`aJZ*bE}lHMFW-=(tFNu7RUDW^=L-J5E1ql=*IG)N3KD<I6Sxw<)8i9ioMw
z5?AK~K^5&$8><MuvGul(&jSpSkDE(DfMq7YyQz#XM@aKaokgqU9@PS-HE8*K`i$~;
zds7VKAkyoIOOilS{up8Ve)&VCOLE@>x<(dJtb+Ewj8L`KJ0|gbT=J4sWgEjoA~EXQ
zbo1!fKq|-a<PmgY>$Hd8>s)Ig&Smp9UBm@y5OF+`?8WQJhT&*fAJ(m1dp40gQ`~V1
z2WoqmSieLn9DtiRczYywzpD!YOE5-c=YIquJFcHctk5GmlvjIn_0$a1F&Er-bPN{G
zn8q9vB5raE5v7m5Xi5pI`?5!0y*DcnYq)k~a+kBP^K|;_YKNkWu+UzlUF^bBfA1Da
zi-6YW01=%}IglhCFy|zF7xLnE3lc5OZVN;N?^}GYzkv5H)cCo-8X|JH+J*2cO=Q}3
z*W3-Ps|2M&ZN1Jg@tYjbu;_OT%$QaQBUgrm@)*wMp8K?s%vy%QRy#hg&$BL{f*MGz
zwwO3Wfgses|E2u(ip+-}R}4!ZAK#4Ex5r+5t6tV+Wo3I1Weu0#p`A`tl&fvj#>xcy
zr`F?JoWz$Ef6#GJfASd6^HH>24rd2JC6&E8`ySSvttz9iCDI4UIWQ1O-Mq!ShdI9X
z8YLqMM7oruv)`M6K|HPgXkM%6={L%Va<D*w^GB=7!4j~?21r-zls?|4$p0b($`v@7
z_Z{=RPGpO20JfqcxtB4pd@%_|3RwNbErPC*5D>D@vHFF>p!g+9(sQiDAOi;Ctar9H
z;GH10@he%Mm-9Yc&iA?`y55ZMo{>b<oRy4|A|#3eF-gq!q~WC9oyP!n1M%o7p(i<?
zn+z<TxV=dNKRGl`Xd`7lM8+XL|JQ{kycH9sck!NV8fF|}M^FziV*6ONq5nEU_G@V|
z-j2F!sG-TK*8)i;$<(2{_Mr}~Na9`5x+H^{kS+HfeXO+Lp^fzvTdwBHmIsH|YVJ<^
z{^uQ|mbm&xJF+0_b=EzU8|_}<<%riKlQ?k$JM<2rl$hcK*TT-}^^8MG?AmAZVR4qb
zRhMkE&!AnMwRHy0U7{J^9id3s-%%1Kk)>*>cWg9zr*`zOBDl+UI(co*wl7wm`6<B7
zz2C@L>zcu~B?9$H29^_fiw+jFZHB(DO7d#I>qCJTF4zRlgau2KFnN|Pz;i_k2Xuy>
z0q`uxTh)cmRmOwt2_zGZ3C~^1niDXwec@4xZw)mEs8`p?N{gppKXasSFwXQ!F@qMj
zqDR#Ym+7J<<}z*xR<Z}45RNf(PjYlC4qZQc001Hw!~=0=4e(k7>Z~0>>s^L1pc}vh
zyQpaEEy{kEZNjh|CXZrcd9TWbZE^c!@NSeM^C@P@k@ofTvt#OiFdBA4nAM>ST%kKq
zUA}5rDy8sS?6P|7Zt{b4o#+X9Q5^!1q9|vlB|Q5N+VztnubJa_yYXcuc$fTezN$nj
zc&>BdIB4)V0a=fmWgUNwY`K8F;^MD2ZtV*F8!7SgEPC6!fv`*dx3}%7v<Y&xbFk1?
zu_nP?B>Nl2lr3aUEeUZ0#5Vt=_j?*!mCaql*kL?uBm*`NB*rlq*agXvjj_So*H?Xu
zoB)31=ZwGncUYIHctMWS`!MIqK93BA_oM}uc%fvzBShGn*_6LuMh7jg!=e`C8E=wK
zviLL%8Q8d`lj<=2FZXN0fCK{Y?DRWSZ;L&XfdJM%x9t~+((LdH3r!bnJNI?Jzr+4l
zUnN_LC)+;Z>EU<{KMYI#5L8&m_$;Mt&ifpieGyAJIsckHb-pda+M=YY*z6@9JImHR
z(0`F3%I}K!lmg#i#=NYV?FvLm6p?SZ|Ma8E&r;j*FSP_5)&liMQ9ex`>E}mS%@JwL
zS+QGfRRF--Q-GbV$%w~?(~BS%WeAIpE7;Qq7MVJlDiC@zI_7%%W^wL=nlsUpYC~Ho
znRiLP6`Eu|qyUq7kBlMnvJ(iOQieN^XacFmorvfNpq`-hbQDTZ%pH-q#doUMdGxN!
zl7x^QuuQ5AB{;FbT=gpZw-bKa?zF$HM_BRn8Jg7)RWd~2wEbN6knd~2OlYgGVi5%!
z@%9oeZe{oJWyO%*3P7tz%@s^HcCFe|K8!|CmvAr$FR8iQ)ao{4jh_9Ed@;=AflZ<z
zsu#77-!Y@#b^L;wr=Qhc4rB0H&lNIjWiJITqUm_?ERa=oDe_@Yz+{r#LQt|CCaxsI
z8(1YRPpX~(6K4`IU&wQEz475cy=k8dwPK{NP5aq`Ax^Ui=MId^1AnM^8HurwtTbP-
zVp01p1WAy%q3O`u;NxN3egEDJ#$6J9jl+9a6Z@GvMiQbMsxoidyYgjJ-Pk-4Q38Cr
zJHgD0S17=a1aN0^kyhM;21;Vqr^OPlmBzlI{Kl)Wcioq#e5fH|O&DK^-(yojyOeGF
z{tYtrvGbfNdwGi2qV1^7k8@p0IlK-@S!fWP&*eCdJX5Q@DzG^kT74Pi0o0jFRd1cg
z498AmnF<yR=!0EN;NSc2Z51;?V<NuXG1jjQKtR*;)vUX;aEz~K6pyz%jIW4ebNcfw
zS-+h;tKnh4Bwx%#4|q1%;Eoxl_irLIok_?tf<S5;NjT$JKZ?Fi1$c#npR($**=Kj-
z+S`!OM+`G0Fw)>vG7KK0NSf_8#wcCvFOij@dO`PindxeYYPSoH(e@!JM|U^!{9d`x
zIW+XrC<Ep@i@{e|l6MqZ?Wa9)ThGP6I*%_*;uDIPs&IR0&IMp{$H?5YITSuUVqhv}
zh89WywuC@pVA#lR@y*J(mTxg75Ccup4d3h6D}3H7W!QBdB5g=ZfqR>ykq14eXfF4#
zZlz#bo`I@MZp9;!@Qi`$_F?JTa1ZSK3y5DJlPP<Y$eWu=2Twg2T=ij_ZoJO)76Sq|
zb8Sy6*>A8?XUW%D=VhSAn2Tf79zWV%*#LH`VcCNuqw}z~7D~%Pd{uC$=na<S@g1->
z1Ry{J)$b1o1#XTAU%H{@gGw5A0{A2XhUV-$M!N+R%BZSxve{q~B$9;4$>G={8MI~F
z&80LdqMft8IWqVPYztaqCLWnoWo0~uA8TrAL}qR*2s$D&eANa?iw9xYlbvqUCKBO3
zpT(4}rhG;j;4=snLz1ZsO-0R+3-B}o2Q%%VNKxFmL^sqtdjo<k&3}?h>7a`5*PQN%
zttUt~QtKQ6Bu5VizDc4liFihN;6<t<@b}M<_z_s9@9XQB6nR*Sk;-acHC#%5kHc(j
z8h&Je#=M7TeFt^3gp}0DB44iL8^3iN#erL~I@ZEhiU!JeBwy#k3=slBKZO24HBMV7
zkTkH>e`eOpmF)f8@}Q_Qy@Uw6X%<|mb+psZV@^MROoJ-g$e;7MHK6+I4O7SW9RcEB
zf)srm5x4#bk)bNU<hy}l)G|_3HQ5=Ub>r))jA(G3o*o@$rF00O-jR(&We9PI<#&4g
z=IXE^!AnW)0MLnFVv<0gkZnX{$pL_`h6v6vBSxM%uAmvZqWP~9i?nW=+c}J@1e9R_
zAR*mE1dPQHrnxhu(%^IEN!qf@XwB0H&N^d(LHPQq*DS|P-~I(6e!k`8;YsdN6XdKa
zV&D7;daG{eId*3RLPiW-h4G6!z6nEQ<pEBpa)=elyG3;iHJei(w-aKt9Bb8iI|6pN
z6bdDW1BoDKjwTNiyPKiWQi`(6jsU09-gD2R8*=kfe*_N=9|&jT{1b7}`Q#1b(L+@}
zkf%ObB7oB~p`qkrOJ<ca7YY4D`8$fDck-^KC$+K$$pQ2X4AsLn&z?OSbmQcdb>v0}
zdpOCuHFTZO&B-8zzfn=u<YrazGTrSYY;Xb{fn;g8++I5QwFp%%seh^Gz~M`Dt2leQ
zkeMQLQ$kEk!?%tNBOl6>Ag1~6EmC5V#|m&%%GJ98oSpk>uuQcT_7mc6uQbQHP(Ey$
zk+F>dl|qg!x#baPN}^j`GlKAjkVBDh$aIO1?a_XPVD&KPKCOl2l=C`5M~{Rw$6e3e
zd){|*repERee4(I9{ga=D9x~85A0u7jlJ{33AHD4GI|2jAOwSbjD-B_Z|9C40$R4a
z>)QM&Y-Wkz&)9*Trt1z0Zv^8OMcBI45|8asiHMQ~<Jv(qcIPo`+VT<6Gs4V{A{fsM
zv*J27wsVQ16SCjna3K53393(W1PYInLSZD#UQ@U1%7iNd4Vmq)%|ZMM-+sDmRk&x`
zq)>qg{Yp*7YjBSw@;jy2{tM%JH7uDJ+~~Z>0B+I=g<kacMRD%rL8G+GfT$@;*XFrG
zPj6=mY5S`z@6=GihhV{ShM0|mcAh^*bYkOd>(*@n&Q^1chpbA#oWD<=U;If-@8xeo
zW8ZYRe}YpSXTzor<WN9j02t~KoXD4CU_kie=v3xi#7C&P@-oE}gRO1{Yu!gjhG)iS
z!lwCNH|F6)HZ-xUjg4F)ODJtP{WLO&(thzHcrg!6+b**hdd$Gk*N`0HKXHX5Nn+&A
zlf3Yy@Fxuln_S~6oESQDj((Zu<BfU;J0Nm;OsFJqHye9SAM0<C#CQXg;QQ{gA{J_3
za&yek_siJ6-^jWyq;Ua9YkuOsu?1Yl>4C9#4Z7SFXz1)OlmIQTU+?M3a2;I3JtFl0
zkQlhad9~%+WPzo-ApA_V{jLz@;H=Y_lYKubshC*2v(K$*w~|;oT~?dk-8IHX*Il^;
z&e1V$A+6RYd52q*!%xWMg_TEMm(t0rY-OD6lZkl#ny&QMt&eeIWNdu=t8WcOUyS>M
z!W>orSVgWY0eL4>fczfAUuUb)u9^Xtp)NWA8N@xvfs%ee{{BGLX|%Tx?e^flKl`Sa
z{=i&a=D+oDSCp^(vl3}aA<xTGueTM!Y??cEEVo&UF$Q!di{*ah@n)fngiooCP=WUE
zti#YTp}<WZ2z(~>R&ES@V?JbLuPyvehfyZVci*jBx0>?)PEzeB(<AbCtlnzHSV<hW
z&t>l$wD*CR-<?5*O%?wwp3sestj@BA^&F)p1=wbvf_8jk3vu$WtY7CU-vV%qB$!aO
zmExgnde$(L3$$}ub_u28=#M_0_nX)PD<Nw}NY)jbef|6V-R`a~d;e>@`RV&TSDdM+
zhaV7%O(qcW1FQjP)KcGA)ExoXb8q}RgU<I(9ABrBuf1Lx`!$fEQQLBr&f6w{%+flM
z=%g?NNfre`h&30UiH>{P65g8tYDP;agI6!kBhHL_$#^*kbs-2_K^}=raA&f6u5n&6
zJP&oAW5u&{AamsqEII_g8{<9R{s|ohk?v7*UC@K=rc2U`E&hu5ToUY@JJsqu3K7ZW
zdwle9U)Ut493lN9;7pWjoO@4yn=bywhGrGx{)N}^&M`&JwG+E0!lJ|7(Kb%}HiW~+
z!NX@dBXY6XFL#$bx$c~dyDF{r^P|uQnRqD~q-`Ftd9}IViu&^0QwOI8E=<VlYOHX;
z9uLHjqiHNuLhFasRWD~}XQMG;Wq<hz3AzubhOUdD0ZW$c_v<7}pZbc0vStsazejk=
z`|cLv+?Aj<)?S_fPDT<~4>1T~F^C3KyY<&jsna>ea=*JNq&knRGg6d&756>pwN5DI
zz^x5JKxO}J4vWZHxG0|QYnGkc(?3JBYk>B~ZxXK^`J`*#O-W=`dXoXD^kde4N>Du~
zkp}XmE?3dGWMkL0Sjyt!tCv{pYZEkg&AK)>9bdd(?UP<J=6oSw8<1if+p|?Nu1cwJ
z*B<*$ibh_Xf*E+h+G{i%79GLmY)T<F!bmn~6~z9gI+f%au=|XUe2Vbu);##&jnfV<
z!f2qUnXpWyu1e2+(Nu$)Wr~&EGTap(9K=s(0yG3W=Hs@S8RD5}U&Jm9VChmGRa0mk
zeh-y-X;ZkAWTbd7QiZLe6Gtw<T*!y|tXuIH@=lNCqBIc2AklAkSiuL=1r%6)>Gi?3
z0wdo8d*g|z9MxoyZRI*<Rx4?2l?su*{GyelIVFmIfFZ%Y8nu6JLA7qBSRb$uYK6iw
z&#scUnfk_Bl`;LZIN`ME#6NaR69*rLMG;t#{1-1{&|n{4Fw!18Eu8^nB7cNPi)iHc
zAL0B9jqayDw>okYFWUH`{0=-Te+!P@T9p+P5v-^jr(B<Q<>t{z(bN5%4s8h4_?bBg
zo+NeHI2Qsr?ZE8155^NN)=ilBpW~gLezq4HbOqsa_sy?gJ3YAB$U^*4=$Z|#RhP%x
zec_tYMWAChS|mT>FUQv7z36Xlhsih`ad*=yV4s_MNB~fbEX=e23EPs*(I{_{rE?yG
z;s3{OW~C>zC&r^wBVw+Bqu|`-y`<;4ugbcGVb!X%EDi;Q&Ay@UC##Q&mi`0C2=i`W
zRiU;2*xaU!-9^vm>r+p;sas=idxSIwl48b3OgS_!X|myy65o}S7B6TYOHMd29xWgJ
zdT&D9s$27q^*0rhp`3(ud`Ef}d`Y}gQ-Q<4BPIr-RwRrUIi<1Gh0LZVu0&do7}R9O
zRx&QBbQ8fhk~7z=>DVtn`%97NoIfq%sUrL#-CH7554*kbG1H0_UpmVKZXWR5ipixs
za)|<qWYR?mZr*HYbb2o*$iLsx_Zu6#v7FcbC8b7Ze+3Rx;!LYJd~9j|>0U4&rXRf5
z62l<kcn^j}+^8LnYdhf{GjEt?;%k|Z)SjlW!IU~P8nEN}*I)PN*oT!NcIYnr*xcd$
z-&-%6V^Oz=uZYg<{1Hn|8T$)b!^<iBSjxq1&NBH_%LgY<BAsBeewOj<J5Ro$)6cgr
zp>!CAVQaE{HFGd-o>c?=5_QyzP&b3$|C$s?Q}zcy<*(tB5d@KUt94xI28)p#vul^f
zlY!NL`OXb=+WE&Yl!QVEQToE1f{n4`2TQ!Cow0v*+vGp=fOg+0wpK)<eR+?ffjlqC
ze%_rycoAIC*N{&RW^+qU=~>4={f*l|MC^oilnuYi>H7Kc$C|Nrp|@KshAIJ?n!#DY
z@^LxkM(vnw+i9Y*R4lTQwT||UI6+qqh}Nlq+PdC|(NByRl}IWMq&@do<WcOyi6!oI
zx|R8^rSHFDnp9&yHH0GqgyE(>6I2eegPP;>3x+%7#@pJU)$~WKVU=>Th0qDtdYuS4
z0x^BwKQx90{bOC+Q;mrYyTIFY^z_6iF2%0Vq=tljj=yGQ>?{WNd&b7DIl?M-BO2`u
z5BmN`L`;E#>NDT0%d^Wu6}du;(+ihX(-_Z0SVqDt`VbFwQ_CX@#k$DGtjjUE;5Gx$
z{%7n{@|0L!76zHc9IP2rS$akHi|cZHqwAuFBr**(ouV!r@=BOed7_T*oN2G@J<a{W
zG+^QVO#sXED^ku-7ESuWWJYong!Ix?A@(>w{xqKc4)JJWZa1Ja8-Y@$BMCE005UE~
zc1P72eg}Ui<cX2D?^_Uw5}~K~nI4O{?^LCS$)odIJu1M(3Hh{G>2#Id0&kAGJ|faN
z<P-Hb3-N5l_K!NoyCC~E4ZHqB9RA*aKgasbIp;2KGM^1liBw(G(a*yZPhql@4?BvJ
z@j0+|Y7RnKXi_S%F5LYGkoC^(Rgch?q!W43OriXU>uE#QMqpQKxWuJT^jm34PdZPR
zY3d@whN11K+aza>jQ9S}0^-|y@rv1BYs8$|ln2~=xAo}_d#@yp_tzb*?At?Io|)%-
z)nJ7bF?-T%6z#u}X_vHQsY%pg-rAl_*riCM(ZqQ+-JDJwK*RySu{*BF;^n=9_%`eM
z#1LXN@>1Mtj@--=>?jcUm*uGp9gA^d*0awIkm=hizXfl-4T<FGO)q46po;u5VT^qq
zXMeBd-i?PYkbuJYjz0B6nmQbN>JFns@B)?#TfbM+#18KiQIj^#1;@YgL(Efu&o4AN
zS+4gQ-^|NP#5tV$GwrLGYFnu!PEJ9WH)kS9rX}@w`Bu(bOOiYFh680HaPgH_thU=?
z(f;nq9?C1M675^Gw2sM7BYyowFl&Ubm-*Agd$cJ{;L9cqDrA6>Bq`C%E6B8;n+)r=
zGPsLwTo3~5bIbGa0Ob9`9NBTyl_^E&T>4U%*kp)bE`=HD>8>b2njdp#W_W1HU!}<3
zdrv7$dAaxEU&-V~(PPGU|2e^}FM4e;{jA0s?L0G-VTNHQdqo}EV?jJ&`JhNTZ%ZaE
zeT!%&t;+Y`;=BA?B}X?6nDp1bCay-lJ59^4JVc916nJi*BoDmI)3q!aTs!}x480>d
z8n-IT#j0!*gAo52w3-m$#8w{Z-q}A7S?PRwL0}?oMcteo==`%E1x{DQD$t`k>>xvt
zrN8c{HI`_I_%W^4FJe)a#j!zX5;%MFkz1?ACZfL`!3cqv_=?xBc^2C&h{Zja!5^a8
z>>rtGBrk*AO%Ng*s4U)stc_KW1aVMILbK(g!r5!bmJBj?knO))agxMMlDOcjK^5hS
z%ky;)%EyHm$*wfwT(F)~`E%x{VHOwLciaEe_#h^FP399V4ofJ`OK+YO^Po6uB&&m4
z3c^k7)45zjR!rgd3L*|pI0W=n(2b9Gbpx{8Fl-50hOFf!?l~gZ^d=76hz&=}{dg2}
zS3e3pL$+zp&DHR5K~H)6@?J>ed`7O+1giYIgMa_4@yE~iwqG6UCp(Tl9DDB2t9{m2
zp*r3%gdxylfJG_+sz)N}q;ft99i9aDa1=0E_==T_D7;U=%$D`ou<WXzZ+X)5yzSW%
z!ptVFzWPAi<WL^xiDkOMYd{O(`aJ@?1eRYH2WA<@nCGZXMbjF?kvfa2aGI{CiC{fU
z5Enf~^4pFNFOVcRLRO>3%4NJnl70VEKgdXmH|j_s_{WY_V7rp1dF+~16JJ01$4;N_
zpN*?@0nAu!S>o#A((&#7Ms|%JD>MN(psg%_V4O1TG<?rl>!fvH0MoC8A@exK0}{7L
zOb!RdcL$vjcx8g&@itpW{IurWT9#3F2m0px2ik}B2=dL#8y@nVX*-;Br2KYs*SnV*
z|1HlSyuM!jeC0<HGaWtsqBE5qelc`wwq@)PgwI~OMERA~*HjW4XP^BC;LE+$x8mPe
zN?tHT*b|)39)g6m_LZMjhI3&%S%3m$dcy!D)Rv^L{9jCgds`L%=Tk-N5XrS+_(mF#
zhV{ii5D7*$3)o#eEc_syE%E<<GwrNp?G(2>v(l^Vg}h#;Ebx%N94}24o-d)Vjfy`p
z`H|hI1Z)y<&rr3O#RK>Lcq&ezAJ2E)*dL-xg=qiF$HzL#cLb_m+!-e{K6?k*fu6a^
zL3X!QBR4TBC=C;VJhBG-pt$UH3L&x&9E0U#Ume=gW7V#@17CH5?+M&-2lzuA*e!^)
zf<TrJim|GmT}1Q%WddsQ-Bue`sx}tF)7b8xd(Yhc(f#_aZ$^wuR@c+u*uqz)ZG28J
zmA-Ek*;Xnmw{pClCbA$B3^En<oOag!xK%e&OLzZqxi+42{dtxEn8_Ad_SRkB@k-O;
zpE2i6AR-r^BpVcJ>gyNi86>c~#WAgKc$frh)^t9oFB+o*|4-aB;6ZP{_LO=Ao#VdU
z<uBy-#f`|8XBy$H3#9IuknV+ov=!uyS;iIJIU!bor}G9U6Os|Meu3!4#(Pfi3hUam
z<3iW+yn_7UuH?!RPNI>%VT>&pPZyH8-3|y^3<~q|@@lSr+^;^7P&6-fehc2gz*8J$
zN2gBZbhoI@csZWjoOek*)TepNKFJ+B%u-`6#Zn_`{{Y0?uP;4RarEkn&$bO3ER-LZ
zCD-rwkP|&eMr|^1eSKpdShXa9p}7(bu=<u{7|BGc87bb6AztfMa_m?5jXHCWV|QAk
z<^R_ktf2U9uU%XlQ@p0m_}g#l^yPbIVM%xs1GcHPun#48CR^~F7+<CzFD$v^9~Szz
zka%>Sz6y1+^@Goxyo>Vh@AW<YvQk4S-Rj|A&~vj9K-=ed%Bk9sYmv<xBXV#a4a@D<
zBpB@<8Whi^sBc;sZU9MMJXgkatL~|Kt9$VLKy;SK_-UW7Kw}I;RNR(cFry@)qH`v$
zULjV}3Mrb&^HgY{dX~S7Eq<Y(sKcYAtN%%XmBR|aQ0v0)iq*?DE4|k`^`W6$aau^0
z+kbigx><+bJ754xR}ZtWb0sebexYxUdl!yGmKvocq^IukOG3^(l3b%fs1pyBh4m;b
z(oY$4?{AbWQ|1zQ6OS%$6njxfXqL}7>5L2QR&Lx?((h`aKLUK>s74NwNMzbyDR?r7
z-~Sr-%S7_W9}=0f)k_l4*YxfEeoz!kyHK1kH$2DNOw8$9hrpxj`<{pwKV>=a1AFMB
z_UXM7C&7{ts~rrXa6a=UnWS2v-JY1BXT5$e^HhqlCt0AT!W7hhVgfS7Io`gusxFlt
z(aSP<+w*=5J$xBc;hBC@c16$??JLR)*`5=@SzGI7qCfNFD|ft0IeggofCs`C&kAsV
zxV~s<<K56&A_bTGZlw0>1oH|t!a0c~!f&HUpra~e#5^Rz67?;^F!&F)WYt_SVq_B{
zmI;z-DdNXO@i2$M7YT%ZuLROEC(H$GqXF8FTol9}F=Az%o3haE3`GsNeH9bx|9sXR
zu7!6tyR!i_)scMrjuNtj-rwIJ$T>kf;Yd7+4#r{o%_dT?s^V<DNdzFs*^apkP+1Sj
za&q?HKjA|WnT+8q5Y+t6O`H~3?6SkqJtkZc`5dtsD4=~N(erAJkDHQF0?VO@wl}h)
z7rT8IW57TfD~WCeETm3$y5%Hm&)_gJMTUOIidt#H-CzhCOgxsN+R@p~!}Yn1f34=^
zYKBv;gQ1YFA11c8(mZ;G6n1xachbd(j8b8C7e9;QLVaQb3K@n;hT2&-2TmQ^a=`mT
zlhdR22Tn|E+zC>U_|k@2<;evpeky+>&Q8!$=hLcv`wEt3Br8bP_5?v>UF5hxB5p`7
zAcTl_w+g_vH!{6#oBhw0uZ~;-EoOKPrpHWFi69O0w<>%9OdfD<WsSHuASFxUVv7{V
z@u+#O?|&Mu1M3Qm_EMQJA~Dku``iP5dPS``@>AGE@4=%;!TV*296df0QAI@sCogH-
zH_8&sv;4shz{V@?KjVpxviEcE@abu&5Xyn+?MSKsbF}X`<!8D5e(z;VR=nbu+#iAz
zMB)ZR>96U1D~HG)BKZXRjd;q&N9~N1p9kgC6YkCuzpY_~Ni_j4AZ4a%vaoMnM0o*M
zgWT&2bLb03EIQG@rMfT7uP^R~HMV=Ha65G)@#z2G$D^~!{W~7@S90S|kIdUM8Er2<
zPMk<~_gPx*W@KbYr2;eV?`VN$D>aToa-Zg>_xR-_iJF@Po7!EmkdF!-E`a4HXQ>n6
zS(A65T*hM_Xf)&63$Z(zc?qpdxoQ0xc$s^RT`b6syKhacs9|JT^X3E4n*>tX&y@Vr
zn|EW#>(;zEw~$QqHbe+euv?JNP5zi}_`ArscQ5;;3F0V|`{^b^mij_j0ddtEt$mHo
ze1P(*Qhr92E}`);gO2t`s;*ca0-rvalV4WfZ(~6!GR|eQcL%(zJ%0yeTd~x!7uS~(
zX$8oylq@b@QnFQ0D2XFaytM%Q)v?<*>UTMgecI#jX(wyfsJ-hFXJ5hCHAB#1^i#Cd
z)vvpltiz&ZR5jMaPbZ@=_Aza0dC-_EC)agX#*=u0Nf_e6`SS~}EbqqYRhA*$%FHpU
zV_omSkl4S5)}zsukBibG`*$W0J(GY?gd-SAc=5Iut^R=n+o3EkG;syRyKPx9X@7|H
zU}R)OoZ3rvE<cfRNTq6m5^>gKy!=f2+WV1JT^fPUjYGYo6cpE`_U?Sq@b&ldpno^q
zQC^bs!k>7y!mrMHsKK3+YE#dXx@i!FNA&BTzYzpe@<<?yr1WflD6r+6ub&@~x@I$X
ziuV5^KXD5BK+Ecsvcf_bCNvK4Pp(*T``F7(8bgLqrHKr2NMHJJVZX9Hh{CF#D}a@5
zS96_FC+D=$<Dh`9)^lZt2c<4+%cwT*$WXLit@VC^7<uS~Sh1_O@hn*q;&yTOsl;kl
zvLBY@ArWO(bv{*i6H;g0?xpBk;xMNSMv|x+t9|poqsqDT4^vwNti;k&-Vr{ZFH;;b
z?W6EapUNY9Kz2`Ei`Ik$B4LUwh)puen9F9Z*p9`SZu78`?{f3rW8K6{o<rQh4a4Od
z0Q2j@EGBq=|BzP`mu#GQmX$=l?go_**`MDz=u^IbSVc5QVfl7#k^Qb(Jw(7&Pt;&c
z+f)8F6?y#p^|6|YhSWYj1JwpzNomdJUlY{$i~u(!VNRi5vctE!$GLlAR+dN`c3Z8l
ztfNp6m-IBng-IH2(A=hz5Rx<R(_?FA5z#*h>EAjQtKYk778(4#lO8#*mpU~%AMM8!
zgU|kslg_iD1`H054Ue9+EO|ROV<+gd4r~0{O8_jGB#J#{;DF%_oZ7a}y%020zcrA2
zf;aBHUw8~&X-ot*>a4j8)tiGxDVgHoo2jkTC6d6gCNIn$rC`E7)FClsFWkMi@`45L
z`B<JhH0xS%(|<U}R<B9z8xPOadlc#<ghgQZ-O6|5fmnSp(VKx1`7571p#k)HZZ<;3
z!NSCqB-#-b7Vl{a8@|4N8!9tNepa`FIdR>I9%WzWx#<a5JlA!)_RAbV4H>LI0WvnR
zl`Q6^2Ue<Qq%12y*|r-?ES2B59+)MW5ikTM7C%?hc3>txXz<%`fb7(q=poyG?jIal
z9hp}d?<bg6(RcE|r5H)(T1z{q$v9Y2M?N@s#s90&A8sP**;Y)2b&c^`%3`=(Vzro=
z_1;|IadSII*ZlxBrxYMJi9x36`?Qd87_!?s^nu_B<PlpaI6*}cV4AX;QaFL_&yyh?
zPNdm~rS4<as<bmxeINhy_h2sLzYtOTAwQ;hjKt^Z(QY9ci$nKHLmJmbiPHYJ-<zaX
z*X>>+-_no>{HOZPRut3VPu7TfIsykGHja4YsYS>eKy1o3FdUn9OkiaPkm)Z<^*X<Z
zU2J?|wPZm)?p+G{C^3572g9JVjyWvW)x4C}2BgzxVoK*#5$0Y~9JFLd&YWXiSP25B
z$QjEA16ay@o`un}xL_tFAiI7juVhc6LzS@Z3X&p2-G>&^=4+;1l>A|fys!8cT?p8F
z2)wDN=|xiyk|{EE4yZZgV<q6j=+;%d*Q>v3mwu=><Nea0s!`%!e)ajM2Sb;zQV6Lw
zf~>YWz!i2F<>#izlSzu0I+L$@yFU2_bsHbBi6W+&e^T6=>9{zBNwto*`s~&p?pooy
zH(fj$J)ugv)mJ<sRwj@7$HEzeu8ldhrm;z0TvhzSf{wKJUdJC_0k&yi@~KKeJRl%@
zx$RWaP{Y+B73i`I_8k%WsvYA;h6uCw4K>5EK7J&t_>J&+W0zz<o&OZ-7!pXy#2feT
z6^Gef5&lr)hP%h>Ns0pA=&dA14LLTMBqWQ3T}*7*T!YgpO7tR$i6(KtQ(A8>RIRsJ
zKoCVo?k^SVvKsd31f95mr><IzCMKu-Xww#c#o2d8&NeTAHIa{s%{OGyXZW`?E0%Su
z@+EPud$xG#3OUcM3<%Xk!7G~H3s;jLU=I?2PTXnPYaC&+u(wr)sW}=$TPh5uWY;u{
zfX?>%4l5d@v+;8W&c}OcwvkYY8S2@h7GUi5Md%`t8h<D+KbpMP5#pHt?49@nVI5e?
zVhcUc<+XDm0x$N#u0e=@veSoTL4h}9v#}Xozi{ZAA#4LgvPJYaP{z!iobiUX8)#s^
z?b;Jxpo$8A{Z0A51_z~z1uiRxjwV-gNv9nBTn@;5uXY1Aw#gm2g*6IaPjZn&mIEgR
zH0bNGjLv{av@r{dUkN6W&rksK^pGocr8CJS?f$P!NJp(F@*51DKP9>1I~}9*J;~fK
zQEMw?AvEgL8ENa%FI$&*N*g*!Q-`po@P%{46Ny9pO8fxx3n_~;ccOj<ZC&we;*k;L
z^vDSlYf`Uu-=a7#BQS@h2(L=E|F@w#co_CdDeq`bF~^PQ-ZBac_Y-OzG32ek-|8~6
zfMiUn8H#!~zekLY;{D|Go2YH<tJjNh*L%uL+9KYQY(&cMMYdnw1K6gDnlZjG#}u4k
zbV`JK)*^T6u<*)N^z=@%uLVY9wrxI#64`3~|1k<;HZQ>%8J0ac<dVBN<4g_ug>FcZ
zk;+XnvIke6u^}=QBKGQ^i*OmeJqszYU1<3U6k`sSb$V|nafp_Buig4#0}$9l=q(<f
zY;cczb_<ZJ%f;`~Y4iIzEOi~fw6(SM54$2RNan$NPH5l8|7a`yWJh=+ATrf2O>`4d
zb<%nu2bsK5egG(zxbTJh@uU-)siNyIqih6D7H)J9smqqn3|hQlv8hGQXn=fSapT4=
z$np19gkCri`6Cqf%z*vDu5R=j#I4C;@7c&Wd>>10kcWD9Pz->a3Iq?4Z4opO^B5eg
zsUWWtrV=QI&e}Zr^%{Py(sIM0YPdwq)<$P?NTL}u5k%ivw7Q2VBmh^5FkgAHCO$tb
zFX;e=8PWc>Q$2kn*Io2qd#p@4aWGfz(=E48ZLSAoRA~p=<`=E}f63?Xe8-B`YB>j9
z&yl}aXdqSQaV>4p%~I>KBSrh$qFXsKDUyG{8vRW}0VSCK#q3UKOX9YW1p2#pG1nLw
z&97RrUq9|658>+2uQ!`5dMb$!RqESHLc2@drh*tOWU~<eS#xc3KQVw2J%@VB!Y<Yy
z07*X-ciKKG&_$5yGxk3pg3?Ou@$lci`k#ZtxOns5sqjp~EAQ=J?K^IL8qz6cU&uOi
zyN^aPeIFVUhNtvR`Fv(5=<B-)FbzaVWdqF^_!LSq%|JGG)V*LRJeh745`N>t&_X5l
zPeudMp%1kT4%R6=bm77UpD8CtN0Mi2A}p~!5X2*K#*T-Im*<xE>bR4|Jm3ul-_E@J
zd;sGA@kf|qQi6zJj$K20LBzP}su|?oqhHTQkn}()0oHTRev}oZAL2!Qzn!gayAs<C
zN+B_co~z}!G%~4}li}VssmQ@1k>aqSH1IR^<eCm*Cze@i4!Z0RQyUni@s>Y0hxd+;
z>1k<4Y7tpKxYxtL+Rj9;X5C#6RFL?fU^abA%Xp+zkT6|YIOhB3P!-ahBhYf(mK39W
z=1(7c@uTPm3by7HUAlI}NL|ky^aD-Z*)3y5Ubqv2h<yow$?$Ft34Oik<psIa%=1Z6
z5M(NOf=n;nN`(S;-isjWs+LTybBPg8&fBQG7k~V*)04fcnq$T{h<_>VNqQ=!yX?3n
zbE5u}zfY0{ZR!(?M7k@L8@{Knv~_iKBol(VCI<pjRlg-3j@z+vf;haUCx;U5#y{Q#
zj+DeHlN>Ve1w=MuOE!Pi95{h`<F;)u3KLwa)7Uu`NQ-^ko8e5G`}1LRrfMM{_89sm
zF3aRdxZBkJ1@~fmLeYO7pw&cUh@^0A^avCEA${b&!pqmM9tucAUsw2*2tumGY>D*~
z9$r(pr;iVpW2NIP1oQM3dte73**-u${bFNd&;KkyXt>Bv5@qQfrR7<ov%*`F%jMTK
zvTXH$bwj-F(N@<fgFnC*UnXtPDBgx{edMAZ>#JnMy{0&vC5fPrUzFqcH_2VV6AN;6
zGohWO;xV`#HI1HVNCqLz+dp5JVygZ`;YGUk0iM105>4{24Ew(c$u%g-5D>(^K%&EX
zaVJ0isUL(dazzcCdN2&hGBKp=F6P{lpPx^Z^BgOPv~j&OFF9c<>!5Yt;!U)Cwh~bM
zzoHruuOiFfiM0L3Gl?;am#pw{5FuDx-3+vNThSsb*UnvY1yoFP#R8TJ1O>KUF41DM
zUfl{R;0cFU83~3lcWzTZUml;^%G>ql$T`M<tS5#K!e3u4|6YFe-V<NJt1s!C`B?j1
zaE2A`P*A|Cuh|MOHC_FdI+7;QayyES#&j^(ei%d#&VQsSE!*SyHj4r%jI<I@iqp_>
zl5iHTpUBo<5he|M3FRo@pSgh_kMeG$Jr|~>U8qt(7TNEEjb2S~3-X{%{}QQ#67C|)
z(~m4Q85UR@%_^7P+}`h;_G<?Zj%&8gA^2yM+oNcrTbN$H9p-Y4X2;qC@@ahEM4%@{
z*5c1=dIj(ILs3GOxBT^Q8B7*G%sTz*<xZ9dO;EWY-leL44kCGG8a`u$6NrZQ#Bv5A
zOjD`yu#RWJ=Bm~EX3wORxS+8j&a2&N3t&*n@mf#FB*nzJ=`J7@-7>dXcc4;Ld(k$F
zPd5dk*_d@%TKyFjpqOVF*qBfH5Ih$nrpH3`U!)2155)}mF*p2d&YSb2`(Aye?8=6Q
zR3Db|fNI3?zs4ca|14F&Y6l{^e-5=}T|Qip6eno_xjjOjlHQ>ODmb=$*|NSbV$5Xy
zHv*Ar2Y#Q_BPg!aYS!uV_ZU`;{QC9EIiixWL$`rKcD@5utK(T$Pi&JYCX>&@m&6}`
z8NZ+&&)tY1>y3FL6X0peaZBufr8CGo(Ba%;J^Z70rbihrwTI@2aW42sXVx7l*l{eD
z2<X~d!?y5#u%CV&b*Z6vRVL&4znu2Anxs7-6$p?Ekv%7;2mr+|HyR}^YS+Nc6*ULG
zM9p}f>;^{A3^|VT#J*riN$M@Fz+`2zmVv_kmUyy>A}pNOgnsT-Cd|)<Pn)qlBJZhg
zUeY&`yESDm<=uTgO-ur%X{2>^-2zS~6aDoDaJDSnM}ysPB^JgoXxmAV=Yis35c@~L
z^8Q!Oby|Ezr)lC#KUl;cH}mj*kW`S=7yiYY{`4l~eag^@S^tbekPlA#uJ!MC>qr$r
z_JG-HTgQdkup&5-_41&D4JYB9+FbFr&})A)1MDu|nmo-VZhR9v&Ag*DJx8$4Y6qCC
zJ0osslb<wS0#brV=Vfafc<?-trONE>TeX`W1m3T?T861($ZbD1fcQ;nUoEjgY;ee6
zoK*Xj=+>)gSQ+580V^rK&Naq+@J=+<<H=b1>G9Q=XW^u7kzJd}uQQAG1>d7Wm|(1M
zHTgtdf_7f`My)60wIfns3EbY=+M4|+Ak7u5V}O7DS$B(yUFie60kiJ*`leKLRfl^L
zeU`m7M<5fIybyj+O@n}r+_DqrQ<(zfg4b7GHX~Z))%Wg{CtIqQiCU_A?~Np=v&W3_
z@zoUGMdul5iiQ{4igdAEEXE*VjW1U0M$u8p6gSeL<ka)zDla#8;RRR&k61J$2@{41
z4M#a)E(}}XY)vM%J8H+SyP6cr2%(NSq$WVQ$flGujpm(BOiYjA|8jD%5(1v4bDt@s
zt}`aG5O721*{BJX@;F%3G#=A#^?&}TkaF$37M5c^L%k*NXLC;D{m>{&K}oth6YG<h
z6Tb_b<+tFRM%VDNHJRaJg7md?M0rOriNXS4<}-z)?)N;33TQ!yJmCI_Jf2;Hu>Z%@
zcgJ(RzW={fDk&+6gsezIRD_ID8A(#2WJF3bB4m#Wk&IH=l%1LEEh(civI-g5D`XYn
z_q=t!pU2N1pU*j`bBg!tbzk>&J+J5Z#NJ>Ig0<Nr&fN*)e?UO#dVO*f7u{81o*vLy
z2q3Ny(ll}J1;zmS;RUq3${CJ#yA?+RPV;68>>&Xhj!b$^XI{TYhRUFXV;p?EPN7Bq
zK#n{<{!_RX^?{4XHgzWGJp}GkpQ?-dFcU{!rf~mFfY5Xw-ptq;_||UCj5UQ~ZcdV%
zc)!}SDi^k|=nIo}ZXa@lTupH18xJ}FnBKYBj4`l!t+U)FX=j<#d{s3^Nb@+p;TWvL
z-&hWw`v#7DT~UM0OpbYXG|=>OfRD|urMZoW-t+MAh;FBj>z*j3{StMP9i5Ky+&*y*
z<cCPF?vMXh0m7lba5>SJM8&yvJx9qFVe{8O9K}cHu%?sUIE9mf_!1!^qyyO;S$hAs
zZTS7OH9HjqjdwS6$VwUP5<)8Dfp$X{b7fArvecgw&RL>1<DK2(8x<)YnbaTanDj3@
z%@)qK`@=$&=f;k3ZDV7@Nkp`q`d_c`@3DWn1ib09N%X0%eed5yZ;=ytV)6I4`Ty#E
zqnKijd!lPF5n9N|$Rvf++OM`oCgZ1@@*a6wjJE*9=88VS^8Iol(Z)Q%{yTpP>2X^D
z7pPluo-&&6is$4c_)fw=WR#mLS}!?hVXjOsLOVKS#c|Y<-{1bDtJ<~b)}-%mx<4u9
z?+C3O-!&*=k^Q$J$5pj*>}!`{wX9@$79`oJqj~5?zPE1NxRIo-E8q&!Dzb@AR=uml
zxaAA9k8G;fe`v-}+wZ=Th;_xCTZ9vwQhA^#t|(!GpHZrFXz%bH|1X%CliK6%Nt{-p
z;%SnR(QD-seGZ&sp!19o!A2*3MXJW{Q9xn_JGXkb#E{)RPs%x3;p;+Z)+EpT#lagY
zF;nju@by}HN28u7FIyQd?lu)#cv+w$ZBcXZ=D$bnv~1s65+-VYw4#3H+Mx-`Of>KN
zOyb$`Z1=UlCGG!Z=3*~oKIgWc;uolTr5tW~Q>DE17(jM{H2)M!87NFCof-v&h1bwE
zJ;6WZLoBW?XWhx-eRKLHB>oVh$AA}$@N(D(R}N3}+qziuZ~iZU<^N8$#Xk-!p(uv4
z`)prt4x<Du)@n601g|kl9Qasp$e<<kJGMzl?ds@5BqM6I$uZ6R{bKh(><UHJ&$wOK
zhP%_^zP5OcO6(NAaB;%csE*Zpci&Ry-RaB(HgQYRK245KPCOApJ$~P2h*+(y+jf$S
z$~_ykgpfgUp89$ti)LogN7Z;NL?*H9l*Ddv=WhLBKqy<`oX9<zIBP(7C!qJ{m)Q&B
zyXO)37_6b*&gz!gskc*5u=Zjx)`~POe4;+s2UTJ3VmQ4BPMjjH6b7pZKhXw@uW<F;
zg&9*wB!&JvT;@o5K-F_JKPe?8^<&_zpnOhg(28qk;+SGiG(9!7VqWH&c4~X9p>{d(
zV>eDFk9VoQP{)5#n`yW8!mnz#Jc};Wd%td(myE%Bef)}}66c1b=LWb*hTMAiGVIqs
zKw=BXvYluFzB3`dR`W72Fn#R5F|RU^SffTy=ek?zd&7wbAK~vwNNj$d_7~92pyvUh
z>GI)i|M$Ge|94*eDf!SZ%)qpz?aVWW!Lr8$jPDbH=9eGTUorvizR*zlEmX=;1G?SB
z{sJ+hO^`gRUoITWY}QUU(!mQ;|CSq~I<JXEG`ey(aliWf00{+=d%Y))NTp?3!!@H&
z8uX~ma+3wZ#-IiL@Nip|3{Q^cNnI+VC-(ML`#+zmdN4UtIdrvo#OVcB<f6ZC-<bc~
zX|Jk~_Xo|nM&zkoiCF?ZXx`?OZ%b{jW>?@2e?o$6?mc@A|F$<ItlJjQ#UsY93q}m8
zt$;MojL$7QtM$Qq;|PKz8!i?K18zOgw11=<&FfsczA<sV#)Q!Cmv6Jr6_jIQ3_}nF
z*?IIjPubs{z4{>`B_z>pNc@0YhqQrTb%z|GpXls6!s9ioz1jNMGKp}O#MSYv5avvn
zz2_*vK(F_b-PcaDzU8?^ysK4?J1i^)+_-PjAIYNCn|bZL<fP@Q&A9Q5Kd<+4?TzQ^
z$EDlk|EO^?o`1J1X=Ckle?W?ndi)e9M_$-64Z3{<+2a{u5!11X(hrXXAg-OHSQ%oj
zy0_5`*4x<c{|c(99O@@_jF=0>Z2$kK?6MLGws`{jCbTt7+J2{O>qVzpVzK1LL%+L%
z`r`2^RzT*P4PLJE+6aLX$N(b^{lZ*aGEj;bO)nxa@oS;-g+t#p<SQ^wynjqCi6KWQ
zQ!vhK%AX+?Y-Di_#d68egn5~t-`9Jp;p#R*{17pp#ZYj4+9~tQ8EQ958Y~i@Zt_;F
z;6uPvG2J(3t+PGOO9~Ng^S!W3EI9um^WjEb;R`p^sNE37p(UVQa3k6m+l2vPEzIwC
zhGuDEvGiGXTmazoblEKN-J9w;EFm`kpI2hZpWN2@J94%KLl*wR7}`F}O;1cH)Jky<
zelN6FCpJ>K;7m4ls0_C?js@O<Xx3(p-|97Mq|;NhO?(^{IP8vQ%zb+t&k;zF4iu|L
zI+t@`AYSAiBU7#TY<I6<O;ied>C2g#$4kDVw2Wc%R--GP@F}hPGtt4I*ZRznk9OVi
zNV$uD+ltSHsb<st8Wb}|iH;T5clOTT*`2uJDA!uwzsh&QtUkM%Oy@LoEB5uWtaLKN
zx>o-&;WmQw+Jgnhhy5Cl*p8?XJ#XO+YDg4rnpb1l7mXhHjZw2e)B_MIFCkXP9Ib^1
zI?jjZS5Z6|gpXm7AYymks}24B3ms)5F2s=&-zBJ?qInJqvxP=Ad~OX4=?$fcal*!5
z{gy-5|M#|t24<EM|MOQP$FO$Hp|-#9m`~WCN-ZhdER0JZcSQgiER`DT^PC5&PrL0b
zQ~R9)8qb}vbiAi(V>ox&qEEi|{UL9tgoLW$&UqD!gNjdgy?keo#J1zY)Tg?#JM9gc
z4G=hbaH~)cUabczaiWz;^zbd^jek;fg(jwF{NCH|hk5bzx_akth@{`dpS)YNX^Gn)
zZbgtrwrO(n<uEae5Ar+UcJiE5fFF-j&WV0;MG=ssTW6bhF`<wUV)Fv~0VXBVdJv%Z
zcSQ8x0wO7!mfFAHVki4mTKY#O5q=pE=S8EFyA3EivDhEv5Y)WWks~#LQ+gq9%zCwf
z@un@rD&{>hRYSoZZh7o_zm~4c;9We^%zF{Vgu!iQR4KC%ZYW|X7{m;i&UWu+8A&?1
z^*dj)>c}lh|1civoAl3+61!F_ZP4p<@oCQe^uxz{qyE@mE4ysVdgoEorEnvvl5Z0Z
zw1F{F9lVU~VpK=D#%COkoif;XyYdA+c|%s7#!9oEp}0}M6bh*AlC?LFxdhWAKW5o9
z@jGAcN|(e_Vd9xZzmI^vM}ki4itdbj<pdq#i`SR`tb1LCRcITO_Mf|jd!hZm=gskw
zxcvgt?WHWQ4*b?eF3u}AVf>0dRRoVGTrGMQ+i|DSsq^fZh<f-Az}6{W>19}CjSBU(
zaDXFQg3{Wwv5<Kn+4esOglwblj2+C%9U1znjb#U6yZbmfppxiED_c1vxw#S<2y5N)
z-C9KCTY7(exL||>J~8{St>a)!z-Ft6&NjG=>7Ol(1Qmqe!aDr$mvW*F*R^?Si2zop
zSDukggfnRRnuPoISgK(%cilQ$EZ{F$Z1=)hsUi(DCT8L#aJ4@Y!<gL$9l(jpc8Z-2
z_{TqAQ%5m`tW%daPGgKYe2Mi)R#xNJO|13ELEnuTDc!C(!AcmSZNf8*{K>?6KjH3+
zq1pHswPf{MY#M)WkE)<Cj2lG{PA~C-+J1YnAjn+lGK9OH6Ngr6e`4RoJ>37SMm_Yo
zmvtLAv(ZxTn$7If5j;`tWJ*&cW=EUv=J_2c&^0$aa_vFr2HVa9<r4NoTjtEoU#|5O
zqMt`62>-Q9`j{HTKfU957N5-9UA!>UN+*1GJB2kU_(W~K^{v7{1GtOXQ3dfMI^j96
zt_mg{2Tnr8Y$D*)zc0;tv_JwY*U)W|gIGa&5bzRNj8k07%*TJQ<(hZQ*rs0ib>z<5
ze^-Mnc0rG}3f~ullOb`|BLO(QxL%Z9?@NphnvodN!LyICJUBAKFK+uQx^W)<D;fd%
zw}zIE8)K8$E6B;2#ukAljAig(R(F(-ca)g@Op><pbtQO=mpw+kJAq{sxg6S8c<lGZ
z&9rE>&NDUO!RhaIO%+ssCnCCk2}+!^Q~UfbPyfg-D3j3u3}t4gQ6K-NhhEH1D^<hd
z<NUE<RTU-1irAFNWEkI8<eu%%!EH%wgtRDR)h_BdcW4bK&8xKXii!&6vGhCnl4VUI
z5v{ELa|NOfzsD~+8xWTh?9Wf2M`vfGuLtV*2N$sS1MPUBK5)4Q@=SqqF&L;}4tubk
zMu@S2?s4cVhijI|9GXr@e={HX?JS$z*}YfSP0Vm?f#-9{1tD$*%4UTRM|FbQVv|0u
za*KDNpSEe}Ua{G0w*+t_12EHlz$t6Ip#yp~NmM1d0%!DBQ_7S;lAe}Hz;gB?gn4=+
zuU~ogCWwB4o-rEm#%Y*0|Mzt?^i}OV8BYN?vkk>#-Z+DH@}%zG<zL@i*V5hOl~jJ=
zIfqWAf0Ht6BNT_0g09Kyw(PnRuyE{0FnHNS%YGZTIrF<?;YFW+SpdkI64k&N56z?3
zLl@ya_3Gj6#K;jyGSp_lOFs2uEtL=q0~Dva87?0aVyt*M^YMg@qKr2}+L}rqChRKW
zCL-d-`G(?;KofTYShI?6zNf6SpQF;>wkmM?`U*!UE$efLlj-ed`IF18Cx^RfF1HF|
zMzVG1WkrWi7=a`_6$>tI$D9>#NBn~zEE3mFwvv#>mh59(I}MYY0i$s8qdxJObJ)Vd
z!qV-CCC`UB?_?9HbTRe|dxpUr^qsbDaA?8^4TT{h2n!~wk4&UgUI2x!TsrP_&^h$X
z+&-rkbUdAwB?M<wB4oWM@KUNll%t;!f$OCT*WGdg4JJwPQ5!8(4=J_TpJHb&x*{yO
zsHsoBSw_>_u5VlO?l6a0>(`&Y8O~>#$vu<2aQjb@3XQ^W$+T41bnaG4=!TkXmrFyF
zCg-}s7$`hk>NM*(IaVnsXl*&mBur>UD4v2Xh)2wxiZ;A3UPMTdn7h@<@J}cMWLJTa
z?OH}EG1{Oux=9tBcVi93jBPjb*}^4t+UNhh7A0jrK0phv2%;t1k4~J!3xGJEH{}0g
z?X+I99|46_wKAakrB`2kZdTSgYGWu*jL0i-5eD4?yRuN)MBVORG(E2?NT_-Mvcx{W
z5{KbN<2<Z#ub_apA@}H(unS+7<EhhVE7Dl>^?v=1r)M-$z555r58H;16sf)-1OT8o
zA089P%|~V-<or@`GAYi}#Y!d5`?F^g`x$oZSN>yb_4@HjG26*)#PL0%S%8O~?k{`Q
zxA<A3oBNV>ug=F}0uNp0#m#-{m~yO`SL?;D>va6n8(^0lBCZ{)-F@L~g|hSl4+NgQ
z%cp~mdGqGhoY3S3=F7(OtIDA*S;zMK#XbLILqrXb1;mrD4Wg0BS3P%UTr~07YnQxY
zI_P`dY_p8FV&c)CfLcGyIk&T;x#C9Af3kW5i)e44uXr5R;*GxVRN@y@?iL9uE?EE6
z$@bXtiFw!k=Q|#I#4qJ94(<+p)gG5F)x5$bz3b0bK|cPDV)}h+DGFP*L`vBl;Wl6q
zbQwO!6xHzF8_U{l%BR#kJ;@k@-*|A0ieetMxv)_t2)Hz}v_2Hv{#aIF@y89)E8)M`
z={>gd(ZS9X%UPI?6RkA9TxeA+C=Ho=>tD{A3*Bm$&?+lG7YGXteDU}gS?{QPt7uIu
zNtQ2jcFCI-+p*YtitZ95tt(CV6Jk&^h)=Kt-C7muj(xfuL;ZoKA3+$09rqd7Uk#{I
zaaJv383qUTa%TB?eVySKlDs8-nk}NA+C{W#LWQ``5xSq<(t{mN@m|}+2wP4Owi%7{
z$c2iCpI_PB2zT_sNjs{mqc!d3aPz)>mP;$?2G($?qcA@3#~lK*J51PfxgLKO(#{)2
zNdN9!xjfE=dExh1_Ls+P{4cwO{s^d_pk@`?H-GK&N*?_>L*r=#kS0%7&G@d+?zMU#
zXew`+r`}6~-iZex`qQ0N(<iLL1~9pvv0brSHJ$?lKKQ0i@p$VE&xwRQx^+SJ-jn<@
zg4EMQJ>2%-;{(@t+SZ|W*NtfsD1Ki<g?G79trTt12lVNn0^er;T}*ML!@}J3Wo#b>
z4{vKJu{I*X=WOHpUx@23$UkpDKRSa@dp{!H0WEX6ut8S^^1csg?y)5ZZOH%60K9~{
zk1hVk$(wBxIKK*6JAm4eq@Oa424WwE$f>lxufid%<I}(Veu<s;!lG;pz?h-M5$bh;
zdp6U}i^5l&1gbzny9=k#k!w9qmYE;eHy<&M_hLCFUZKXAaYqC!Rkbl%5ZRh;8NZL!
zYmF<LDp(M-atK%V_^9GjgM<QN{gGkkj2j>Z#o))ThNVjv0y~09SwTxlI<ppy;=to`
z&HOw|vkAJ+UNf3cm7O~FcRg;n`<icBTqn=c&=x23{TAVfi0LfzdZ6on;3e-}SPtQ8
zqb^U<E3zMY;?AOz*;ma5nhF%gn_HzgCy0v;5e<R{^?L3I`h+Jqk1VO>EBa$^?j;Tc
zSZeDP>}MQLz9)lOn4_8(>wsTyHGRl!1DoNgMGo^<Ml%-T7yJqa|AsEso*zRCP*Nz`
zV+=&#=is4AfLjBpxG2mQFK6Dc2DnXTBGO&ozku8C%SsN608a@!l;-S~->dx^Lia5{
z`2^y~f^skwZB$QOu!;L5x{Pf^GUS=(5i76)oooAVt`E3tDp8Gk&YgVPu;NwO+Oku-
zGH=yfE~BQ*Tx^IB?+5V3Nn}tUC{-!$FI-kYVXCrl`L`jX@Z`vU!F*v^ml3_|RNTYq
zct3q%xi9}a)8UQfDJ^XuymHTbrDn&8CLoFH>osk}^ZF=KcVg65BXO{R=xlk{muZN4
zXgJT~jUAv5!k+9byerEtz0cDAsxL1O+Cy@?HB1-HSJhlrG#UC`cE^~t_jml2Ffg<C
zH+85`iTkKlC{k0X*Q~i*s3XZ_V<-O8XmjX!|2N<C%@!hm=nfqC@auj+3_MacZ#{O_
zqmXf*hAN4j8)0d{jAHfm$!>PfekONPZ@n2EFEq1A&yO4oI(&;gj!YWz`e=C4>>?^_
z6o(F8lED!^Jo6h>u3TK|GJHz@!2O8l<huTN=?Bp<DP6>V55SV4Ly<YK4k96Lwld3V
zkp#Ou09zp5L8<t~NvtfQ=R2$4#GK+hctq9j=AU}c^vLBldwyc`nwL`aB#!5RQPW-!
zn_3xWU(u)z9UsIlH_2=1Qu>v*E3|lO4+zHc?$(GO10jL1bQ?o%8o`T1d>aGh3F1VS
zolVN@epsBlT0-$T!^nFJ)ExmVpoi7qW?(skLtSN*TF48)B3gb8rA!5G!OI@+@IoNr
zQgz+2b7W3|gkd1p%PaIQNvQf&$!B*UXI-OZh6{b>t(!ZjN}>m7{rBlKGDo&F=shQ+
zky$4p_e-&n8UXHQ0h^?qs_%Z7A$NGHtyf{RFsglVmrkCS<G*H}iG`g%M7f2XMMF$S
z{K1ad*B3xFgH)$NV1DI1p<k_M7CZ{ZV`6i^Mqjg}WXI3JR#o#MbUjsMJ^&xd%JY2W
zhp$PnL>EShxayfUdS1`2-6>F9s%E=^(ona>>`yJSIa(HzIm>x>By^bbBrq2X4=vdO
z3EY|XDsz75&n~HOI&qa6-JAEj6SPFbYzohwm=loVfzhbFV_JZ-ueQJGLF+1C?}rMv
z*U;%$Y~3wbdagv}bGrIi_f{B)M#o3(zLO9h0--lA5RTXO^C`rEk_6Lh_48ykN4TCF
zn*@<CmX_Ljp!V*t?@=!44h^T(l$=?MeGw+#{aK{5`*5?6j&S*oU})FIw*KOMP23C7
z!}_^0l3RG#g;ysHg@M<B;Lil{8@%wFItd&w`kjKR<6#4pM74dna0+A3KVyuht9gOj
z@Xx$WWku}H-Z<y`*V^3ApRp2;pCwz@aMs9&{jfA3CgHw(p|TMU@$nm9-u!X5g_xL=
zOt<jdUC9C$XNQ~jfAI9GyYy527#BPa9^<VgV%A+Z)^Svd+MQjya<$o3^u){7{pboU
zIRY!a;)WK=07Ug*_{x))*JDJAxIq9k%2*#|ES`=N5DhN+8ZTu4YvfsCb7_8uklee1
zZVEl&R$;o0&~d-ONZ;9$JJzUrQ8!u?wKPQbq9+`h9U985?^yws;qq6tlJ`N_nN3?^
z!$o2Vh;VblsWCH&Sii~~KYlf|e_(Xf#DT0kz<00?QEvAmW|G<G-`_nhqe@kXjnTJd
zKoM-y*BgZ+egkuU2BMDwQ=pF#YLRt4w3L4^&+=eBEMO&$Mn9?D;C70IaktI?|B7{=
zuIgrBWZX$;9RTVtEwEh}aKg&!hdewVxUsl?ZRd=e!IJr?-g%=FMcD9%9ADj#=Pa6a
zU{JC*kwvU$_<{jX+tITXediCye4Gk95U+Md;qjvv^q1pHE9;tfKp&}*TBrqC&*R9d
zp@j-ukwh|y1eFJN8%5wmLGG$vG)H<Mqcd2hbpn+eo^_^d9{Z!__){-=Cwa$`=NxEf
z{UPyBoPEVL9lMzPeybF7tJK>huy+Y7nq@e*ChSP|UmQ~bh9BN#af`l*ED89<#_5{V
z;ud|6=n~cMwp8CXQD}UAw)q_~@WaLI*_6t1|NO$a)>0vo95ZDn96<uMboPqv(tVs&
zLo4WQ7lBXz=blPAiENYBnVj0edjCyP>20%<HPXYh?L+qi-lLHs989$(kt~^eq`?G(
zd)QN@X8tmd!)r%yP6!hY;RPPy@iEoe!K(Dk%<&8g7ZULDUqfaom#I}?<I!Q%1AUBo
zc5mF~vXe!u@-gkK0<}R&Y1du^O+1C&JX}?t7&`-w+=u7+m^hrlc&7(_1|cOC*4(`J
zQalc=V6#GOg1j@}ix`j`FlJk=_6a+*e5po(`ZwIKG`)CKQZ6W(_kLp804Ds~UDT8x
zX<z#ZK^RbI6|j15ckx$VL6~U#AyfH?8rwJ3FRw)0EG`hs2A<#nFaN77+4gfHAAffd
z6BCea?9O*@0llG?ggv>^oL_!vDU>b321=is-#`jnglqh)6#C3<U<ahF%(S01)$$m`
z?pw&mBEd)oq~e|v%XjjXufb6utwbSzzVhi8b=F+wXY2Sg8FA%yfxkj<hGkXO%`NqI
znnrgy39}ZT!;n>I%C4+?{k*htADXf%ZGTNn6zGk|`qWIeC{=YwH64Vxz^9=F*i+g)
z644SbUw0RU?zx1`6~|FSNIy4QId_Kd?py!#*sY$Y`xnLc`Erfy*z#ufi{qaj-}47D
z?g&iGa<-L(lhm7)BTFy>S_m&~SN&a&C2tHy@4Wr;N$;-|!*hfrsZ33uVjy}Yt@$pn
z=p9VWn8?S`TDG-f6DzB6&$v{omW<33_qj)LD`ZsT?+FhboP@JAH$aLr4UYGR6@m`L
zq{KzZ=vt3_)y>#{;h<`x$=PlxtfDL)+9jivp8HMcX3Y-{DmCU4xAUJ&KE0oR1o6lP
zZ~66eMDq4%_(J)~QMZ4u?mmU%G7S%6A;cY~{WP>v$9TtFr1B})qJRT&?qo}rNh06D
zJ7et&o*ij_+b3Jz>>Yt~NZMaOR(9t5N48U<c*7EC*vyr3)%af~)Y@V62;~(z#JSRz
zB$Hyg8F=jtpht8md0p4pW4m{MjRm}EmzFo^cwyzkWg#O=YiHE8()eKJXqn?E*}MRf
zog5;9kG8=n9t6lJkV-xbI33v|N4rk9gi?KaLol$3OH5;DYvg#fik-CLv=EG;^MIQQ
z6nsXb8u;*$&Oa|OpZ})r)d(rasrUIfJVUb$6iWX%2#l4)koUL~AaO1rIF1e-lQPHm
zUcG-)D0=R4=Btw-L_U#v?0GZifA8o|1;(QZnz_HaU-%3h<GfiN5}Y6Vu<vUt-l}Nm
z((R<QPE&CXX*}1EpG9-kT6k;uzZ;iUSz6#r^!+B~oT=edzMEqyV|l|P3xV2%u(5|0
zEIv;M3LYbRAY5vC1*ON(t_d7>Utf1JL^CLO#|@LP>kdt~J~S^~9g}(ym5^8LJLbH?
zwcXy^@~j;r<74eD(X?L@Uu@ZA?4d`sD$Q%kXNpUH?9`?~?EmdI`1NbeOWd-N`E<JK
zlfrf0jv9@0m$t6(kRz2(EoQ$Jm!Fw2IT*^5(9at=_Ey&0@kGC5R&@;#+M#aTv5UZ8
zefj&-hD9r2B#Bd#P>!Z-=&hf93O-$wGV#cv;CD`&J@d%S!dRh=y4@#fu8xLJ{QR43
zKUlolpPUaCPZrIo+j4%IHjb;OSTs=<Zpd$^a&%5U#z}~#tViygHogdzn&FQ>#A6N?
zN6C-K**?mH>;gLF`%N@ABi;jG$)8rmj=7>M%f*FK`IvjnMy2)ji|5JeY3}Pl&0BO6
zSPu)z`feyv?Ei-3whKgA9W<6^D|sUI!eBuSnuO1RG@E(omE-QRwIrUuuL>_oQ<G4z
zgMul~aF=LoUzx%my3_6SEgjjs)2#yeHSJS5^$Nwx_-4v(UMmAl$Vf)2bdPL9X*v;h
z0d1mTJ<EBF%PxY@FCg2!x$cdn{lJg+$kPn!OU*kg0xo21jso9V%e$kP&pvZ$>^rdb
zTioJ~LYEZkv#97^&n&tWGq%kWoegGauU|`z*L@)vdjgVClY~1y>Vv)!`$cgbIE=qt
z!~2xCr+<Hf<%;X5{e4ZanX9k84d~6(<fbjw`IGj`qJCI@2L+lxz`+XY`=r6~Ez?MS
z^2q69p8c!c1a&DoFUHm!vN=WjP3FPYZ!gBwF&PQ$$7RO9B92Oua-!OzMv@O__0X6<
zsVCDJ-fTyj_F6X7Fxzo%q;&q7a?C6$ZfeC4rT=jMA;A;<YBI&9Cq(cU7l?JVDa*N-
zyRqWgk$0VoiYWh?`<2v_xo{}T@?~%}oBJnz_XY+8Le9rN2ZP1kG&!+8RvtJN&0&rc
zM!cx5H;1^EOS_9!%ir#*FphxP$x~7_8))kOxWltDzhH+}#5Qg3t$OY$7l_1x6=`>;
zx;RMa4(^|jSbg)mB2l*+MkMl##JJymE0T;krgozIWygJQtFxQJX1|I`6LA=1_+o{`
z9q9ByD`hZh*opk*-KcnKlF^{vaeTZ{5&<bSh8o4&Wttzyq2`p<y?y@B@Joe91Aok9
zM%eA)qWK7ejXFj9C7Htgx|F=+^P;ItJBm~5`#WpLnBdX7z!R$A+zc#fC(LO?KHvPV
zG{1STR-UT1{ira%YP?_T?3m(I8Z)xhas><%Rbqb5rq@UvEIfiX`r5Vi90C?I4n(eA
zlUekIZ-dG$x*g}NnZv>2R>0z*%?`V^??YxGPFp8?Iv8}KB?Y0iy4g3*T34gr;;)jL
zOZkbQH6aGNM2k+5K6{z^#Q=z_{LpKJG+$GWd&?%yqy@DTndDBtNXWl2#uc{mW60su
z))^Z613b#R5N+~AYI3IH-uHgVKGk|Mr&D$}UB7)u@Ct_0rQPz#h{?&VO=4gVmQO@a
z&O=t<`-^^;x;}JWwQYb)Ys25QS|#yH*M&b5x}man0OB1i>Q82Al*MeI;8vK^p9lKW
z15iqkDQA--g2x4^=z%Mk4IUaQ9frEJ0)4kWU_KI#km`6bBd{0K;Gvhy)?@8f!zb5E
z9wxmL5;v;;Y7WbotKXoC5>dXRE+}s^Wo?3uL9C7ZEnI==BG0oQj=rGhUEirVWjg^A
z6%oVcxzNG*&JL|ZnuBP@;C{MN;R%mtV;ZGI{f1}{-pNk}LK_m(4RQFsyt$^h4LU^#
z(CddTQYc5<Zrjy&s%{8wd`-V$L*12<+PfvXZrL0fqu=wJKdB%xxtY+PUZLa#9ZUji
zu*`Qy#Do95<;Kl5qT;7bK}@lIBd@;H5YnU!4sU4#E64&~0=`yQ79X6Ar|p($KH|<k
zixtP=>3^btlA^{n0=WenO)hE)p1(bzn#Vhd`&nS@f%}EDt0;23@kh5Gk>h3M=`q60
zeb{KjaAP8$xo5hcA0Tp#?T0a44j-49`s<q1>+{NjVSB#;d@sHf*jmIH8Nk8*R+ETL
zB$}lo-=X8Z?70tz>hNLp8{Y*o^V{Q2T+vA1n)khI-|f+q`3NIl%_43SM8|>Pb1HTV
z&G#Z_9VT(gsgQT>i){6=kL?_dQNBSgxt8slJf;ACpTW()nAJyT7Unmb#QwouD-Q#S
zWd!ShdrHs%tZW9qzZ~YJl(kLnqj3C`Y_|KA_Lkjba|9yb!0^A4(+Wd?kr_Wf?9Ij6
zVkKEOSrFF^^p1kMg4Is4mQHZFER{I)nitXoLcOWKItostT1`fijM4ZjZLeR?hdo$&
zUfyj+8|I5O^!u3C^b27ENQZ&Gjkl>Zf0HCl_x#5fc5Xb%bJ4%vRlQ4dVi_c3qYHh?
z&UHDjIQXME(!gYW1FvQOhs=5LIK-A{<e2=mw=*;Ujy5w#1-?FETp@LcSs#RjrFCm*
z6zf@0(f&ja?9zWZijL*9D0O5U%pb1bD`|A`tIeph1LG#?Fm0CP-MIb_VN{$i2c4{z
zKsG-_#hUUJ1Vi#~kq8*}R*#1a-F9a^oLqbrPBWLNlORLbeqRZ;{tARs=%A-#-=}TE
zSE*c5YwraBN2*;l{7t~AF7_9oz$ei4USeBAxe`#lH0aQU9Z3&*`s;U}2vj$`mI~{q
zWm~;jL;ikot<vwQ*t=yd>tCZc<t<6TeuuYh3bjJw>2mWzaoJcuEX#75Rs8kw!H!J2
zGxy!VMCts(41t0O6{m(==PnMCMR2{ElnLCGk1nj)pI6|!&bHoDC*EbXa`#ZE`xoKx
zyl@5~17N|wkYpT~d5@Edv#YVdZ9xO4{Ihr=LMqF1UFe@3GCcR7Rnu^4%O->QJ9kbC
z@ke&QwsPWXxpg``0@Fh<%Xx#lLM*$Jt)gCT_qAImX`1YBbs~iJ=J5j@B3mi~H6a(+
zY3ScVvnXahopNYLzRDTx%ye040Y#8tGEBd>+`LhSQN0(2d$%vP`YxRc6nr@taxVXl
zNund$A?7~pMMCf3hbXxhplw&#B{FI?aAtO_<M3pK4`C3PvTgJ+G@Hf<IW#pPA1ay#
zyeooUsch|ntv$9UVN!g#UQHL3gATlxD1WcoaZ26r#e<o`5v;ceOa^0b#zA&DJL$sW
zMd^j5yd5iK3jDQoM#s;c`IBp|qQJbrNkiygwN>`aw2p-tz0EmS<|nU3VO%gVY2hG`
zp1~iX$)lCUvm@Uo8)UxyryJoGF8T?m>6kJjqb7oCp@Cx=9pe|McP}EO@Jvq^%x=M+
z0=FW|lf8Fd9WuCyx^cZ!5FRml54TF(d})o}__NFmzQLf5Yhk+{8k_3@EK)k?Smtzg
zEfwdu6&8#KP8ws4lPT4N*`Kgfd4*Xh^tSjQ^9*ZKK7TX$@}dwn9znA&+i$0B0(lKL
zh0@!H)rW`vwqsO0E&oE`;zQ#r@)fL6?UuR;tD8V&YI9wWgK`OW222cx{<HBZnRS>O
zjEki?XLF1bq-uXC`-oXjROT3{F@bprKr+PEuO(N10lEm&h2=dX#pS9&N{9bSCewU}
zhuT=6MJZ3B9nfl*11zx<EC*9DcG0*lc9x6trL_Ac3}e|2IQQ&jCD{NZ#j+9~<0saD
z^y%E9Pv7$Nw7Rc)rE@&0NU_S=_wV&vN8|ZwG96%I`cJiHdeO*YYt);^t7t}CS#xee
z7ac3r^ccwHhk*%-Zts}@Ro;x<*P2eWn$3K0G!!!RXDxJi;6HX97YzwRQUG?J9Cq1c
zOD?!6_hh(UjO9)T6O)W&$*m;S9-G8Upc={Eqz@{)0FtkH4rJ_Bx978ln|Wm53f;2G
z%~h`7CsTXVjA2AE@FGHl96aQq)z9`ZV1Lc=d(2VIo>R7+aC;P#zMnNHyl+G29g#I-
zh8fn^;S8m;-;=lxKx1t@$7Z<kGho`_Ma#Lk#mmJht<z3+&I``r%pyMViBF{qPn)RA
z9^lPhvfsRQfvjKX)sj^Iq68`cl)1LZel9Sc)`Z(XHePoXn1@U1oJdBX{-oCye*=zk
zSd;d?N)=PoKlz(LC}1}{dM$tA9Y=;jH^$e~F79VE!3{r);K3WEhh!dnaAo4H15uJ#
zdNoU|$BIVSpJ`JiLRpAYEgA`95<^Hf^A5#$ZG_(Ewsf95e>{`_nm(^t2Si9|J3-UB
zUit&hI>O##!j%`9UITXPh&?LD7d<VM2e}uqsUWxlp~TfY4vqZ+47QJON$#|@?~T1D
z6DW98^W~VZWu5C*>(+2%$G^YRFh1@ePL`7ebQF(JxY-2NFk|nL<y0l>!)n;>m7gBJ
zf<m8fc{jFt6Ww-^PoItrhPt`8_I(T(tK=H2aCLWWQ||bfiVS)pXQ`2xe6(f1wkGjc
zL4t<;Bj<k;B0Lc4IOajyaNE9x@W##?nDw7&2v#;+2oP9oWD%63;v}p($nZ7({Cne%
z{#M&j(DUn+0&|UWl~ngODvD3=q|w6DL>SYKJ@3AIReZJqNFhnKK#^L~(dF<dJq8=2
z-6V;GRno2@Nph;e?0#URE`N33pt1SZw$712y>lnZb%+0o9yu&z<wO{UeU6|cb&X5S
z<;M+&Gw@~QJJmB{biI?K6jCs#Vat(49jm~_a5><K@vF_3zAe4KyfOOySMS@M_a-S^
zC$s?3eV+7ifA=kNVa=4|86;e13OU>@Y95CE%l4Lmm-~IgtBQ`N$*qy&+e9P2uB}Pi
zzQw*m3+1ZMEF|S_wIApG)(<kjLC)4+!3@mx$M}}Pns*onWAIsp%9gDw{LqZUD?goL
z`D~`TL3{+w{KLcU2?JtZuFx+yHrknwroVC?DxMzB(;8dT;eYt}fuL_)w)~;*ZBtdP
zBRjzKp_DT0i4a8~(Ol{eDy0+NNdT^;{@Baky*iM3^7&#hZbIpAayI4e9@2qCrgdg4
z$~RfSvT5TuaY)2m7ZQ1X10BFLUw+oQQXlMNgI_brWtiUrqFoSKm*;LZFuPr))4jbP
z+q(m3YAnK0XLpi{%HV*#gb1}T!KDa;lsNtn?W5SO>KiU{`lSk7iXj6=#}{x~f?akf
z@%}`^6hwb#%Se=ta~I@@;K7NYq95YE8QlT=mO<cN;Kp^jr4)1TqCTT@7Jw6XVg=V!
zj*WE)R+`WIMJXQlFuMl#{Z#oA%B+R$|6?#IgQ;=lbr6fS!H(kMO9QWTGckl7u-N*N
zNm&lV-7OZnUszSidv4yz0}A#h+a%50FP}`vW5d_Dwgz|1v`Sv!9^<p}6`9V--491J
zUx<X&_gTON^bY(4H`qX_c4O3jnZ`z$k&y|nc_zF0!|d$W^A7Mv3z&WR+0<CX%V(I7
zN`sFY`N!gp`~2yM8xvimOwInmywfJE$z2>Qn<I5O>0w|I^{(D*@vp5>T*bGdFt+oj
zzr?z5N*@=pbwbtbHw$6+9sQs$=ff)Wd0Uv<vjMw4C`3;^+#=Ncmp|dqxPoupCKI(-
zqsLUremk#m1=S`z?KwT{z~*47RXBfE!>5%ezgm=T@z~VBJgteT2F4_#I5U(8Qh$bi
zav!t5g+R+@&EkwMTreal@KVN&$IlkX&eZ&Ib<K^!E0!`>qGX0Q8+;D#HM7UG`TYPL
zYdz)k=(9M--<Z%Wu$O*<4&Gw-ro=-@`6zS0+AL}=?NFST8?p#%y1cTT$Lh(d123)k
zZ8Oh)(rn%nx-&Og;R%QA2Yh}mvmVd<{9eD;f;~<W%{tG$CZ$Yj;CV+`?FCiA@t5_!
zCk-caJqpOi2on~oDfIfYN^fP66UEgQAY$D7!jG`R3Tp6C^<w-Q|NS5yGu4@F>B&zA
zV_)gx)@NI7;>rlCd|(h+{Pz%Jn5ft-=k6Xj&>ctpt{7(T4XHXEtjARiS2{U<vb=rC
z%ayfm)mQ9Rb8Q-mKB|#^!Q<mpZU!#uKCy2ijy~Hl<nlu^f5NB8x?whxm{QTyr7PT@
zKeVeXOxK=5sfnU(!kB2dBGS_7Hgu)L?Ip;zvSPJ+yx+Y0s=Ohtb6QC)m{{shoV{<l
zj1EvJHW54uPb$z^kc~xO$IF$HQ_3b~O(+IyXQM1!F(UYZuOq&Gts#uw{~`jfshAvg
zyssIp8`&$R%Tw|kG<NqX_1DEUv2k(&bN2&oliO=EE{&PvDS>pzF@;Dm5!kxehBY*Q
zg59$QLcico=m8dV&^v5gy1HrgU@-gk49<x3%uJy)ZT<rpvR^J;@l2lVHZI1g^=Z;*
ztRQ@K)dbbb!DS~i;&OmJ9-}h+xJ2VNOyg{Bk1Ahzg6H@zS2)usR0ePcJ@dDkT;w)9
zsGDvqX6wD?-Dk^DHDYdxEZC;%<e7;;0J4Z-scm5{`q8Ma^9)JiA6kZEin34`%m3wp
zwnd>?qszt|aEfroe=!qT1xS`+e>IzN#|D(USio=Sz}pU=fzYB99aMRtxXtYK`Ev7e
z@ag+*_#!92Z+l;L*dFJ<6AzY!))!rl>>Qu<ziUOS(7Y};DdOv&{A$H~&&xe6-#IXX
zpl7x(J0<V2wb-q8<D-@r`**{-awavEdi84A;fvVoO*Is!YFian98S526O$|UCF#<^
zZK7sZp3VfJ=_eblp3fo8U5-V6e<_mmR+|JIjY_Qh*-VvjU5nk)IKj+DJZ8b)2%+C7
z2f%3$9=&JN;<Qk0B%R6ABwwA1NNaWUA<9^x4qHBvrwtL_uvLg*i_For;~lGa%-Kz&
z`@1O327=;2{;?LnuPT$el#=4X_a6X7UDBzDrOg0iMpqzb&6+inXDKee7+%9rFF$Mv
zMqB;Owe9AWr$z0+yLhJVjey2c39^n--SeOMfPQ&*2^wEKu>6MMjed^l@)FFoqCvfG
zdqHnfLEyT$Oe&T$1u&y}K*gCyub!%~{3^QyX8)|XX1is?PSV+SBOML0Xz!Byxp$$b
zCZc0s`TeClkm8BAUJ^emZ2Mnn(Xr7*meQ`N3rYD{AKQZK_&FF0w@*beSD3@(cu)V{
z$OSt*3BK?hA^m-jOz?7?Xf79zES7@-ub}SE@V)wHS}q0pJEgh++TuC-A!{$c+X24p
zH%mv3`Nq79-uGs4fN{^f@5e(=lhBJ22*&8@jn1Hy^u}3PvlQgEf@(%zKmYbQ<lG^P
zbV;^^B%>KOnbS2byS@$~;Q=$LlCxy__n>t<j5&sO==#oZlU+{z{6K#WTHp!6lBfY;
zzOb=6?R71;K4*dXfe@0b1AH{8^OCm1y_yGdoH!@aL*lqY&S?67;9h!soax=hMHIlJ
zZ47%jIiWCg8tSO@mrJhTE|`C?x5|6BNeff(R&}o1cwuk{tX90i-7!!*PODVaDD!0e
z#*+!qW=7IB)&o}xHC=*D`03gQd%_)OE|K_<&~~{HO<6u~4X^#hkZutDb<Sl}ZW7N)
zm)!wv0%=HQ%pE=R@5vxKYq7keLkBAnJ%KxhzcQ6HcEz3SnbVZp#7#M&4ac!-KtcK(
zUz^N{$#xh`exs-S@Ih&*#BFU_s$^wOs7}3@I)uH>9^ZONj`t8xk5gWS6GpNxV4t3^
zjXQZTFWw$NiO^!<f5pxt4}~uHN|ztYz1PP$p|Oq$QeM9Y;~U}Q5Doh~7y9o~x}~ew
zw=TbddX)()12o&^y7uz(XnmnfsNy<&j3gYur|QkcUB&;9N4P+>ChaM(o4%RT#qqLu
z>#s2gm_DN4AwGH%>;kSW$PhSAF6EfYTyE@=cuU@HudcyUPkuBw^7pHq6DF89e+tb-
z?m%O84QCSy-(BHn`h&yVlF6{$C2q`-6?1xvj%@ZW{`cu}sY}OC{FGe(yxKpzGGdLE
z^Q{MQgZ7Wn$yLHNRd2N6hF?8al$Y`uD}}8PuJaT}Ps3g!!;mCqegCzM^bZ~%0b=kG
zBb54F_6>d>DcBMP=bn*^=p~^|=58s;bcNT&N0PB*-5lUJ^UZ*mRLU`zeMP6me1w-H
z!BSf@LNSz@CHEuLmP+wH+S#iL6h8MKsLWA|;R)}J_N#9mQ}D0be(k-}tj;^|He6;s
zpAAJ|K_E3f*4f#)Yhh{p;q#0e0^+5seQr!dyPqw|h3vip-94-64pFlgiiR(NMq38E
zC;Eq>&`ef5sQhMIXF)Kd>__!*>8>yP@)%HttZf7q8YF_+Ly6_+6VbG87cUT+FS2zo
z<*<;F)tOT%hx<5r>qj>N3h{qRPphC%9G(e$sH1hkZ;&O`1m?k~dqF^7FYSOz@RDVF
z8crw4We#?G2I~Ex4NI0Or%nn3pO+-QXv8%Jwn6eBmF@wj`oN@!&vN(_K39&JLf{+9
z)OTGE8LtmovIk*HAAN;#mbBfJJd23&jiRk096Tq$Kh}pX@Q}%}hXBWOiFI_(i|MrP
z*h(}0ie*ra9cI*w8UA=KHlx1bh(KNL3xqz%15Q^u7+v9hAB*W0SLOlD^YWuCT&6GB
z>;wdoaKdsIwg8WB>=H?4YKV0SkHjq}WM|6NlA7M_nF54T5j;dV1xeD4`NN3h5`0aX
zU4P!Fzhf|+Qr&cAWjKf7QHgC6*UfFE3~uh3-)P6WS1Z;eAjW?G#c$4<v8k`@l9NEv
zY5E{){WCOot2GwjMpu771be4~uwX^TLvc?#{O)={0>X{1lJjGJw~4W@>e<Jx84Mm3
z7>^?hI<S2XnH}{ZzKGaoZ0=p)x^4M6cjmK&Z1xdaPbvww87(a7V{*4%YXz1?9BQ!t
z4c;{yOs#jmayj?%%@e_*?`of|@3V)9{nT}4i<w=EddA9xdZzo1TW|7*qs<PMg@uKy
zy%!4<2B>Rw2YIexhR|d`PD@it>#72=#4{*jJo&^iAipz#L5CTO-=@Y6?tQO4tIf;M
z;vERmQ?zyuDLYxWfe@I@0L@$S?mDsZxN-jN-iI{n%+(y|D8H>m^|1-<!MVs@%pJvN
zKo}*Lik&1kuB4Rd)=18V@`tx#A422%rBfrU*<**a)6<p5r()l7W5^B*s;_gKBJxTL
zO#oxQ6J!4fkQ5gS;_&1E3|zU7>iA-VZ86|y;(kba%D!O$xX<A4$KB>azhM9VA>%cG
zAnc9I%iy?6&h`0M+ix$l9}k#4FBH-5?s~&-5LHI2T^Z3e-)~EpH)2Z{4PzC;CJYWv
z^C&$gQxtob3pR33aP|WK@SM<wxyR|1CUT_NnW@h;tml2uIyEuN178fYoKakYw}F&q
z`&j=dqahpCM_~~luZH+tH+ai4ckm7V2{HY*S*c~6TC>InK2?`)_f%|(DqnR%?#HT$
zo@U<nJ-rf!$)P23Z<ijkAGEG02s20?kxqfDYZ6ITI&(iq(;UDzgGaO@cc&&MRedzF
zYWGuc+3f^&b1*fLyjYPP8@nN2xt$|PYInmcZfrh08Wt@_%^?(sfxHm!IKsb3Ta@9$
zw5h)RET(=-y9i{0luR9?DsXE$&<wXLTp$L8DVI{6lMy_Lt4UUx+U8l?pnv6#Fde@h
zn$hOPrHrB1Q=yrPKP4TE9f|6|Cidbb^I$1QpgfLUrPQAL;Bjp;)S(gGnL@utCx*cr
zqzcR6>m$3`xOZplI#1h3FvOoT7{ru_U1@k9>Q~+F*hfADEGjJ<FY6n-Z~~QkCnf^>
z99T`{Uw>%#B{uW?c(2zn&g2ibp8Knh$=W!tka4NdF*5?Y+i+bm@UBFf{FX!dV7<i#
z7Gc-5>KWBho&f`q4LcD)mYsVsWo(B@E;#Z0ra(EfNlIeV!xkz^J14>S;R0k)-|PYO
zr3zxu&-Z@%iG3K?-c#zdujin9wezDL((P@Vc~9>GVkYDjkKG&N@s59dYl@2pq7ptH
z%9w}zEW&lggG09(R*U7y|8!&07W~}8O6@vuX9K;09|sj5D|t>X7c=HwbPMY|ekOKO
zrqW;Pl}!R1+45uF`h4ztXMQ&&j8-yW3)j@#)7nWnTq6O%Wlmuu)%Hf<V2T|CQmpPh
zn32!H=wdW0ZEE)PJ5APQ&aMAIo|@KSM{x8W^vB^Wn{HR0?U#STqtKRDJ%bAK3k)oA
zM~NwW7}6FI9#6r0>?v5Kv=dM#h3q6;_N@5v=cBK;SJiyFb>)}BpE~pGe|J3g?HhSM
zzwv&Iif58(hqI<Sl8P<76;s_LokkXUt-y#le2jBW{3%3q*<&36*ht6{buGC>$x5V(
znI$Q9gGc78G@mv2**S(XV$U{nZe$Zb)HaHpoZwhKA2R1l`40V6vuAUQ9rn$9S>)~v
zQb^UH4a+XHZL+C0@fm#KGov0=Z4n1a*a1lm{4!r(b3X6+kvAAM4d(d8qauRPwh5p;
zX9}6hnf^^>{pGC5C{1F`VG;Y;cz}a}E<B^#t61p^PCkF?*)w~lH@eGX!|mQPevN5c
zN5%H@rL;ee*v{mCnt!tf8!f)ka6UB|nT#7ku3LqEb`(o%%$v*A|9rjU6o8DuUs8_W
zLE7oTN$E1J|DkFP&jQ0QWxDbnPFj2u$j;#jKf$NV2I*MX<?`EE($-rnTO+9it8b(`
z$jG#9C)Y2%@SI(&l6VHqYj+#bJqdT#Y~UdpDZ=7@!aLnYeVo#%fHY14vM%=yB3UFR
ztP5>q$rVWJL#Peqj*Gx=eSm@ni3t`WD?=WWmB|W~{?8$N#N6q2v4_lYnZCnTK8j1J
zBI|hmDZVhE?j_OnL9_K@1!(r*eHnmPOgi`0R~J8W_)2tBgqGVv`gt|BoPl3bz`Lc|
zf;p5oeYXmJxfAw9P&M~F@Ae#)sbO%N71rAR8xUrQyZNe5d2tFYsQ2%_1ML!Lm>W(J
zKB94O;Ko9%)Cce~HY-O;>wxnZfC1}4z9afkQ>@(=#Awf&H`myM?$D5YS)JsXJ(#Uq
z?S%s=)KPrcd@4ODV?r0Rq~4SbMV(BDZ>MQ1`6mAAw^v)3O23>t)oQ({Z96`mc4&Xd
zyU}^yVWN2qS0?$U8+S-q&M!_2+d=0<#=*+qXD^rxrV1aewjtzOl0=(!thpAwPIXco
z5k5Q<BBxVl7I)W2G=8V0Ipr*?&)pJNe-5AZ`ddoU7KTeNF%Zcn6i2#0x{=Ct>!s1F
zu+MC=ji{25mP?1*ZMdrnSKYsVpF1?lvVXS6BYV}`lKFueH82l8N#sRw+_A1}k6|%Z
z#YTv%>9H5Kp7|46_cG}a+k$Us@nBAQ(vcBKYeg3CHV)~-0=rM9*D*k~&mrImTn57h
znnbt{R)J<6wWU@Fmx!})pM_kP(UmJ#GG-V82(zq9WT7?;ZY|l~*w7{O(I&nNIa*)x
z1ijotJ_1a?qko1jINxfo!F#`ORvQMDhlyJ!OB|1Ju5zW+&3-yqBah4C8ai&?k_wXh
z5t1<s9gs@JT8c`}*Z7DH#KNC2F&D+;BNE{cdiw4`N+&;-zW!+MLqY^xzvWpa(yS-G
z)S&e5sk+NaK2&^3cvW{B)<<DhufPzn#JFYiui4jBoT#_Y0ins}XZ<UtIW-e|tb4vb
zb570mOi(9nUyOG`+osJ=U{mf(Co{pTYg8&z!#NmSf$k|#wg&o&t+!NCG{q)*{OFVW
z?WYD*a*R|mW5-}AX8G|V<}8bxWL)l>QX(F00H$imyg8DplEv<cpsq|nc`gh;0AP1?
z&5$hYBLm$@N(-UFo%NU>82Sv2{J7tM9T>NPF4MC}WOz-1l7zJM;L@DMX8IbP>&B8M
z*B((R(p3~bz+kJWJp0CF7@*Fz6*2IS9ueI2kuk4^hJjZeh}@?<ZPD0NDulyjUQ&)5
z-fAog)P{`yNxl{Sd>c2C%1G}$JBlULA>C4Vc6bWv>!Gt%kt&C2O~A4Ht0%rv%q~Tq
z@ciVEKQooVc#1{logX^Doy$jEYt6X3RD^%)^T&Nx4_5^Z|BTqaVHE5ZLop|RhsB%6
zYzuc$72%ICKbhokfXIan`|Lo=<kP7?ae0HQM-rAxdA%18nH+ZAs_wo)@NKc!JSFur
z{da!S;n|ec@$_N8E0J<k+4q}@d<72ickw1XGgi}j{Ts^DzbCH7wUW+q<f4P*E>{=&
z63H%QpkvR05uLQ@`h0;PUN8p_zBh}~`1<u~3fD0vuIbTMbu1J1OT!Yybxc^x98zo&
zOFA{yp@Ze#yY7_~vz!w3TRILCZZv^k+}`K?z78I!vUc3X6aOh&Z90VcO^j!OzI_D6
zfNizgu7!N<d<{6V6JR83<3HZ~fL+c?pXMtk)t;<cJa<6wS$TL3x{(Teu3GKB)kY<z
zH#`<|p)a(U<P~3H)TTU$tF`(_#7P*JT=N~_MQBPxlWX4XZg{0v9<S4T2B3fPu%-KM
zHavRkd)~FuLm6uA7g%x}@W9Nn4b%5a(pkH5fk|@;gKoE__Ykf`k{tBIWXeF8x2bt$
z+S{?EMdi67jiZ36{XLgLGY)*%xM$<Xg$HlH^gh#UFwVb({`K?Z7$AK%spfo{?cGBb
z)>v-aDzi{Ih7BWl3abCAB!#RloVnP+aTtZ|N7tKvfIuak!wU~H)FW0442fU0uC9kI
zc0a0J#CR@~OY84He+VaWFTg{Q=A*{0W$rUTE-G*Xe3m#1>TI$PbxvYUe_2yZOmB|T
z?V%RQM84^+?xl)yi`j~|UfI2cRkrUt#)^%$kUuE@ubxpS_TAF_H&t7B_QOx{_1nMO
zZtvB6ap#Pe=<zj)uGgYeh=7*OH2r&$q<HAUdNv80+EJy4Q5LLeq;1}G#*BOJ80Y)+
zrR-dn#aByBsVmLAx4tY!I3r0SA3i3lVVvrHa%x2cFD$XS)GKO%E)v&+X<5a*_(T9`
zu>%rQ1{!3|0&sw|!fp;^%L$7YMf}}PSYq~Bxi*v3LVT6jM=OP>ZG{^tG$=w#bTn&d
zw$ncWlbZxR<Vr99JLBsUH|DW#{-yUb<4K8h)AOscHxN-^N^`0)nC~mofz%$8!^-`8
zdt`=x{}1^Te#zp~w8Ky<pRWoVCDmk&#;zH{vFk0r`0j|Mw9mkAER>nlVKAzIzVq;d
zR;!{r=--JE(}W1;hF@&_m)=BQir8p#aDi>%wT9H-_>Y54ADFZH;@4}~)$Y;GFHk~D
zORW2wf)5YPwE*B<Ug3^(G&=<lmx#f-s0W!shg`?QtlJ+0Q~ub(jGx72Kjc6`G<jC)
zJJxUb)6`Oi{+ynEMF|;BNs-@)R;H<D9MFaS@9{3O7X;Ay^TmQhIam(g&htHd%pm@A
zjNyx6m0GTCgp@0O%OZiMgmbXMxVE_d5^Fx%J7#Hj6yRW*RKKepyZlyg0Wy7zOF>kE
z5!bx+yy0$eVcwy;G?~nK5QFt5U3Ttdzb36e`u`y_dtf^6&x_f&P0b3Cjf$OwRKTH@
zgr~-1THpRE0HV-lDQQ4$Vx~FRQskIV!VSnIfQe(AF|U*0VB}Ir>>l_L183i3QVUb(
zmmNOR@Qre#O(!&@AaJV*X@QWS4VzQKE{#{MIJEqrDJ4e$QC%iHB9`m!4dQNeYb&4c
z3)!nvBq6)C{2zE)k?S<}(pb{=dvE<TQZv}?tE{y302c|2@xl4}$Jp4|^Q-qPI44iF
z-=5qGe$GJ)OP{HcZ}l+?5W*?^52Ng<v$&79(E@wTG+)dSF$-X+X<!37YzA%G_xBfC
z);c265W7DmrpqApwafQMWPWJaq}9Co_X<aoL2Z6tOUIqrnL;0KiE`@f{mS=tm0OM$
z#E8W416x-XqcIZ@jQ1hRD&vi_PJM>qc_L&;F7$0~=K>V-1QdtM-^lw-&m^@H4h@%J
z6rewM{siBN+1&nce@M)$(D3v;Q`b(r9ZI3k<GWYAuw|b{!<+&fYJ74<(wr9T=Ju8B
zxuH{IzE4qMVq|H<(yw%fZC0aQd%oy5NZ<Zj#g@MkpBaa#yDQ24RMv`bu602Mclm%2
zaT4CVWy@4g2To-G+Q+g1A)64u7)RQka~xYy8FVnNwY*_UPmaVC;KyK8{z3v#LPgDU
zTG8F}K{;XdQB<Ri*r%CgW8|)2eGsPs`1_p+Tyk&QEYkm>T}kufkL?92kxnHTP8fel
zF)8SCo6URaHjMWwO=>IU_c|@r7%wj(Q*%thy%f~<6RmGHex)QE5ft*+WPF-;3~L4T
zG3=6Pl-J1e^T%MDg*`(RfcS`n&vh*Fg=aFM>jXhqE{T1|@>^un5_~+MH_hww%gkK4
zKW&DRGYuew)Fq``TmV<0?Y4wRU^SoZ$Il^UUQEhF5%i#yaP}EEHfiOB6Nh~a5PwQh
zz;!g!0F}n+?gO{h%5Vu6kVQ*_V$FA~e!)&bBX(qA(Ti~pFW&1->JI-wk4Fk?;KCjQ
zi0(%+N<=rd+S^S54n1Puc%}7nuSL~^#$T6OmooOn#mu&S|Fui>YYVga1zfMBm^{J6
zmbkDM45_Oo7^=|a5w=Q@)jAOgr@vndHU^2BNB*~Z+-Wuel?n2&s{?IIU{LTi=^&m=
zwqZr8MaW#Z_LzG7SxyFd3Ajgs5gd?fs6#tCVW0>eT4*&xzWCu+$e6oom2xEEZE2cg
z!OL5)bhP;Mccscp$xFk4DZsQ$$h`7}e(qoqJn%>;A<Z7@0?u9fdWq-W6k1;kYJ8cb
zuMku_WK*8f_Uy3i0{5_wC|wYmCKqcs!>vTz=9yo;_IWq1;*JF8@;>vC)rGZeZ_cVO
zIbd8~%jZ!-`UBJY>w`{CKWoCsHobln74YDOR>_mZeh)~%0n33}vux+7I=R@ux@R2g
zm82RKwB<B1Zs_vbOFrJ}xro`GE*tyvkEl}=dbT;%cFYu)GH*Vc=6Z)yOx*s7!91_N
zH-&@ZaS`l<UR<?@?%tP1{K~4!d;2;7vl4)hlm&j3$W<FRQaGxnBp30?-ZI66+Oz)O
z3Y+p+P`A|eqO@|}F16#wWcvPO_#9n%ce;;GW92`+ux9p9=gELs6$$&@3PE4BC-+%5
zr01R5?gvilN3zk;TaX(en%Eww`kn*ncFivYKQMM8eD(DcCxQH5Lx2Nawvm!8WQt|=
zh90u`58r){)jf_;NMtxBLr7O&EBE&Mzr}z@kFYf}0;WkOh7qVwtzm9uHsU7que@tn
z>!xQ(@<ZL#6?!sWZ^U>w!Xq5gu0(wGhz-u~4sCO0-n(*`5lz?6vHSD^JC%YP4qXgG
zUNsr*tC&ezBZAaJng!Y~i_Kzj7Pz<-B_RN}iH0rSzX`cXr<YiQE$<s$Xe}mMu6j!u
zQ6$2u-#>-J5UL2t;Yb(hpx47sL>w)N>shp7K=lw-iB8g+%jTsk1B7zHw^wTqOFJ&Y
zUVMGDti51KUVJg@LVIeka&SOpbsO*)7hlgzKR?XTmB3l_jBJRB4x*PPU!@u*2!tMi
zZ1bH78l>#obFdn_vH9c<DTjgaz>FJj{ilYTl_9;e7DGiX&Kj(7#CLQJ$Eog=T;pUd
zYS=%L=|Na0e3(^5qkEqmtgad0#qYu8I%;Vss1|eT88S`w##VG(UzZuHWh4}})gCwa
zaO@vRN=dGt?CCrgMJE04Ip*(L_(|R@2_xFejKKI!Oy~YxWBA{__3p>R8`jFF4(GS@
z2<(-SS^gC>t=jG@m+XH({5b#0uQ`2tUC!08*rqmK`Oe&9yN>EpBZ-sfmCXvx$n^c{
ze0f_O*0`H~DsT6PK3GZi5i_VcENy}a9!a(Fv)uPIML7&`OinAv`<&ooN5Vk(JWNIC
zyB5)|UM<}d>c(j3?TAJ+%JCCfupmK7ys!qzUK}vL+;nSsC2e%;zm;@Z^oO143Z=gn
zzu5mYrOEQ!@<xA*+ID;(&7tG9$Eq@~xfUmq568vuG{&2YjoLEzCT`Ha>5Dq8R$BX6
z_W)0|{XPPwk70u0JM_s)f`KW`^?e_ffAW%SL+4Dgx*1-LQ=Tr~gpuWQo4a<oE$Sxe
zaTOEFX!P~dH-B-ia|+7p&B$a(wCLB_FUGM(pzTS`O~$9ICIa_>GC0m?K9i8RdJ}SQ
z%V%_L!s_GLoX2a;)@`>Gvc`z4bag78{k$>R=s{rfc1y^Ox*He&A6ef4j`iF2e^*i}
zrBcd@5|vQ06NQGXrm|A0?7g=ZN+CpcWHjuNJqjV&g^*E%%<S#|x%52md%VZralG^C
z_tSlUukU%C=VzU`uAV~$QGpJS^X}cd&)S9wr%#sE<FbC3qp^N}8r>mC1AjgesOg57
z%rf&B(2fh37j_)uq?lX=C>@PEAjbVKKv89-*W17JbG(ny=-1yvVY`V!MdAyCPo4n&
z{od-c#o;QLG_}IskufSYbHo1}iOC{Shrd_F_f!4}AC2G76boi8bUedZcu{RGErmvk
z6E~o>t>iPBRmZ!KmKZt{dQ};zt$mOIZTKH}jyB$c_H{#G<LmRkG$-1d-Oo0z)159w
z&lut<toL;v(aYGZKgP!-WMDGw2&MX!$J=@Iq%K)h`Ux>_(g!$y=c#WSD_)uLsSmZk
z=yqa8^37<otLSqS=s4pQi&x?1MW91nuo9&T6^J7bC-#J5Hs{Wf+m?@S`McOSjV=yo
zjFw4VD1*T<dd$yo)cjYZkI0D-!{i$eB{m7`*2!QD?)D$a9wBIBt`l-puFNmc*qL%d
z#mA48fwq8pyK#dnv*O~KE~0u!T+je=b#DLrwmL+Cklws^6MuX^3QoG1|K#A;m*#_f
zsz}-TeXnEN&$+pB?ZoYV4m*8h3r@~;Czl9rG=Crd{MVHsVq!ki95tSS%006B(jm69
zNbdP*5?pzwoALP1eH_K#50`L;Uai?(gWL6?T306esB*;G=KlS}MD+jrVW<qGqJfl3
zZ4^B~@W>{G^Olzmy;;q}D0VZ)yLOwZeB^2oPt2f2RG}1?4CJ)OlRQK;tz2lelg0e=
zhjdpgfcsT!7Np2rAZq7(ff(u3Ap|j+$klx|hQXVJuv3Zsr=y`zu5NF+!5DG>M62b&
zFnSUtjvAPu=Gfs=F}GIU_v*^}dHc$MSV9U`%#DnV`69<DyW5713<!$%*G!|EBRdD~
zu*B}c-}{KLp-~v%u~dmOjmCK4l|5OHF}}$Xquq&!!n-!Uz(rqBtHJ2z2f3D*!ABC`
z^CGxS68RNA5N4#dO~B=8hSqs)Y3)Rcm?CcDSB`Pntb!sUO?{5zSBZD-{r3&`W^hYl
zk;<Np88D}aHS`qSeQ|E#`xDN6QFBjNMn{t85(DNP$KP7a8@}6MsH*NmofP&XG)>Ya
zpY>1n0a~M!8|brtTb{5NhHIkz^N#%87=G{%L$ks;U*QT|i0tCkYBLA9`sFj3o-i$%
z_fE(R#s?y8b_S4O=%la3n!&s`jrtZ<kFwU-cnF`p?W<kKdDy&Fc<5pKkp`Ccq1n7o
zPZ@b@w(a9wePnNj5CWknH>tm^ci*D@&>qPvb1oeNMYgvd(`b1JnKTyTx(Ievdl_5e
zwv|)<kT8!EX@$vTPcPS&@7N-6uaUY4<ARl#B9_+NLR)ts-@*3pC6Yh^)J&`uU$+(Z
zf|x&H-Ac*4h%B<ea}BZsC=n`#%@ON2rk%OADh&~?GURAT0XtgO(f@70E}u9FCH-13
z1eFTsVEa93<ACG4CEG@&XH;PRJj3C3TsL28`{ve$hHu!g!4EWR*?PWQHlPOnnWuV$
zm#_je_1pmDK))UO=3~N`LhHYt+Kg_Gzvr~%o@MTqQcR_^?yE^@a!uDi25-tqS<|*7
zvSQA5ud&!)!rGbJ?owrVCCKl>SIfw$QT@8#2%qxjc)seIbd=D2UbPUgUOY1N6y2&;
zkj=LQ4K?8K!{hncRhNy=qeYS;5F;UdOZGfvvRH`Uv$(j3cdBB?F;+IAJRiQi4Tcxg
z+XAx{h9u2cx6rewDP9YBzg4(mL|E?3XBjGmOkWAjzW&Gg)cTdlw5q@2k8KMQ(7kz0
zzvD%NHRy>;C{26GKxOt;fbLZLCf(OBT;uT$6&?i&RY6txH*6z?ZfACb1TZpw!)5^@
zD*EPY1qN^@6lnqmP3Hj5epp47c<y)LSN=T5owoL$g+v|tJkw39+8x*`KN<KrB}#G$
zhNUxD5Ik#cEzJo(9j)A^wKU5xts#gN2BnyjPgFZb;H3JD@-UpVV-$_783Nz-4XQDX
z<RJ`h^uwB6B-5khqVBIk6m?v<m<Zw-d^K}z4u9Ty7T3h$6)mT{6()+|^-^n?`wD(N
z1~Vp0Bo$}_&3ZiZXvDDj)^02Pg$yH&e{Ln07jyyPN9oMl9L5y3R!w1@Pf$$z``)=l
z+^J{5l@rf=!>13<f9F@ou!I}lNX_~Piz<nt<-GLqyjC%BJ-Ym8iW!!)WFLj;iEJnr
z@W|Wq3gkOkt4u_5^)6b*vF5s};?W*`<EBra;0~9=9VpLcf^IZ^*B<f)QruhCV%-_}
z@f;{Hk*jJmX`7bdzgFIp#m=s}-X2Ss1EzdYeKMFgb?91X`~k{MVjW`?zl4tYK((Gl
zfc|U8POC(p-KLUfm;M#%t*WqN{qGm<RE2zxd$*g7!;Iu)g6cKP#Gw2K6v+0BV-haH
z`vS1LOh;KtOrh<7^}WT6hA$dcp;`OmOO5@{S9-_=alnx0tp2;FM>{M-pio*r)lkrl
zS<)#N+0{=h(>K>xmXdx?<#YyENp3H<$(uTe453*^g147xhU<;+hutQ|7SGq{x-LXW
ztyUDpQU_Z9x{exrgmNsRiPzlpE$bydQxL_%IG^`^<{q`T#r)BRJ8hk-cvUP5uf6c3
zHY^Y}k7dp_QERi^8!-KM4kxtZIXOxsleJTbrvXdM+1OM|yY>@xHllF+@h`3*(PkJL
zE#JJp<iSU5T0RQ+KY79ia1s3$2^IX@_<PcBR|`C6S1vmA>z(s_^^$?2B>bnLeTlA_
zUI_lYvG>y9QxjPvIRJC{>UUbYCw`$kS8`Y(S2E6Xb<_4na)O8!WO;nRf(x?n;hkhX
z0l`U*EPXL4#m!euS*mxr*x$c?_qB-K_-h&}vRrqDsEhA>(38QE@tytb>;U?nLvA1=
znt26aQe~?I5@m?JU7pPq=>*e{$s{p#7&DZBv)5x>G(oG|?6?7{p^y1G|1U7B!^m@`
z-oHEW>*ECm4T;VBx0D1#e!pNhKywU|2enD*Gix0n@h_L>@ohNV$5@T;C1-vvvY%el
zwtL&()y?PR^gBu96*3ruE9QtJhlKn4q73GAPyf7!yZlA=(bKT86UC*?V;|8A<-ObY
z63Lqx^p+XJON9^B>dad2?5vM`5T$e{@wAkB)KkU@%M12ONJK3Dyo2;cxULD;%K>Gz
z@~4q)uoQcf5Iel#L^h@TsU|6zI5^O_7i$xml5ZP5J(+}#Wc&x!t7JT<G;BysasMH@
zX7C~4FZ6VhxJ;X`W)Bl>BkKuFc~;E<^dt1LD}R<(gY8uU_UxWs8s{l!P<dX|qVK(f
z#+0b6kBbu#VYj(jo4AkON+{aJ=|LM3Dp+r6B_Gz1ro2ju>~X;uXQHbKF_0gQvm6ZP
zWD}$KbH%p;hRv4<z%?S#T;l|I@vxmbh3?`BcCm<D6dTM_Uf+@h++~YmuVFbTNx5G3
zNMZ^rp?cW6G77qjt1S9ZyK#Q)d*vlT)}*O`mZdYTFHBl-Uaa(98I~W8U%bm^mt!~a
zwlP#9R0(X;JGI|Y79TQ)<fQLHAH5fWPV~mHm3ssVZ!cqZa?YnLHfOoMAv)HBv;XcX
zlQo9_`QJLeJYEP;mpIWq7WLf5$%)lI^2ho12*Gp#W!J>|>}cQ}a?r~x&(zR!Vj=wb
z^;_(QvU*4l5wkN(D1US>WA9<aWkT5Gfz0lv2X8U%iPSA&C6*>p(m`w?Fmcm82qpZe
zqro+p$QAehjQgl^p{&V&Z}hSaa!4A-q__KMox=bpj!6_yk1|4PhB+_VZl&i(%-hA%
zVIz|Cd06Yyi^e;Q45#N+7jOl<ur$QPMbBiRaaYKvVZsh=OxiLVFi<}=1VC0`Oq?;Z
z1$NZFnuz;-+N&tXZ5lN{`}1&<J00kB1?Z6YFpj}rF^$$lkpYOgd&Q%d!+qd!#Q!jp
zu1K#y6|3W&m$-g#cRv&F^Zm>P5AXfclOHXV2MYEXd$#Q>$UT24CFZPwAyGMGYPQ-1
zY{+ovFfab?#;ZN&G+ncB^4L(=bi>U@D^^jLVT$>YQcYY}A0_j)VRfa%OxISD(`UoT
zvz_R5iw2Q1O*VXy1lA|443y$qovjGYy0tE433*QYww0acdLdg{BWsYC$=Jv#y@E|_
z3zy<Sl(uBuKk>tIhIJjesCB_NU!Z{{oPKUO>}rN9hryHckXH>wC9p6LOpz?kSvNw>
zi5qNLF7bXuM*52My>;VC+G85i;e@gz7O06>84nK<a}H;NX}^;oTMC4ioXjGK68ITE
zZXUhZhOMFX@!?klIb_x+5~yDy@gJm<q4Pauul7F{Ld0UWSwqz1!$b_%wo$vGpjZ?y
z!e2p;^bav~5w3APPcAQ<)6*!(T%`J8qf8m@*e*i&sQ4tTuH!tZTKc+RS96zY{|-S8
z4$eR01_I~34$@9TGU56r9g7B&-|YM<X5*Mp8<avyBBKNC_RnZA$%1L@_`Ut+T3&Yg
z?*Y}ZoxwfDB>GVnAgH{CmW{=N$vil{`Amw^1vV`+;$cV&OghQ?!>MC(Aw1h^cxlZ;
zKkq_;p*Jd}OZ42z@>uhB3&klWrs+q5W`WT?sUTrvUa&MBUynxUa|skn-<KlU6Woc3
z07?!=Xu<sK3qo<!2FJuE!aF@<*6DoDOUq*~+bk-()Qt0Px7j1269nE?O2-XE^&0(V
zvDny)20^*B&WRqPCU1<*Kh$Fj3wV&^f|$lz$I|w`P4g;)uX%VR$er)q<$b<gXMC?_
z%m3hIFv@ZcJ6a6#D!R7Jxy$X;$ta7Lq59VN-6oRRr}vx{`1;}eee>X_)uDqezQHdc
zUQ-3?#}4v5Md%aW`e?G58Y#zHPu+a?g8wbC6B65Y{hR}G?hdPV)B+;Mo<BqdG|5vv
zL_7TuNFXfzEAmeU54fsNUz~02Dz9#Qk1&ZU`htFrNs_7PnT|O4Bd739RGM$^P_P*~
zZczJE%TT5rLhe+P^6eTTlSqyVTCbe#y=JIrYz>`d^1`+A4BxE!8wO?1N%yYiR28v-
zB8;SqA?m-J`CZ$UaLKKE&vw1n8tFdyN~m|`0pnOnHAa`tAs25tpz6<&nG?9suYKG&
z6=q|y54%#znh6OFM%%fSLPY+)5&c&X@x72AYc*Rk5V{X9Igef#O8fZ+j6s+Ggu{ae
zY`k@Xii}1P!t=oitMr@G-ei5?jrUj>NUavBJWgd6Eq7q6s{XmMJEGRV@>{AKXM(4q
zOEMMsvu$M|b=vRc7Ob0k%26Q@CIgkFUq;OXCjTSP5Pa7%HLRb;_b{Qhrg0aOS1IE0
zDrd8Zn-KN0f0Ec>3VAiG-{~(&xjlRhkVF<!U8VgoM<rNQ*VuyTv=yOHlyoRLldbAd
zauP!FPaw^@b^QGe>50Ku<Vmra52%{5xp~~ZPODDq9aLN)1E;6ef77EwSLx$7%oz~Z
zO5D^rVZVtK<WbY7^P{KA4H`b7ad4R{&a*Bxk-bMn(*-eAr%~#8D!M?&{=>GBXscj5
z&fN{>(Za4kJKV8BpxqwGGY3c_PM6)d%VR#wL7LQEcz0DyatDadN(mN%Ga6ujFeyjG
zAJT*?Q=mS#K9Jn+$Rjv-ct5VV-@n%x-g+%e*}VRk>D#SlrVG|wkOy!M+F{fuBEolC
zFybfz``-hb*U0BjY3?n{hiOF2v1$OcV2HSF-Jge_NSMKcT3vQ|^<16X>#KJi|62Te
zZVWBU8JzPk4obZ*J!>LX%uaY4GAaV;)ht7PHqjWyoLlAYi8%F^FQKBZ))$TUT=bB$
zI1$9_k_}!6K7vbtD*49DGacuwVo$I$ip-(Y&lLRnNhq}F>o3oJY%&Zb{VTH>uGxHW
zsG?oF_K^7tfSCMa0T_6_0k(+FFOhCa_h2oetk<{y$E3S_01KVtn}!{ZUAg7w$oZ6m
zcBECTdO4xP3!$EY=?3^SVZ5jR6!X_oJv4X*HDI>mQh@Oq*$UI(TbIVRTtJvX#;{~U
z1z{<+yh$%6@egy0!|erppi%;07)^>1+Je^l&Yv#(i9g***6!R`2NkVZ;1rXP3vxs$
zej9n_+VxXL?E3aat`B<^+9m%mO6BRcrxE-rPWY>nE`_4g9sm(o@Wd=eR>2#QLL`Vf
zZm>~8U)Fca;=8mfE?m?P9@J>nYsmv6EI!%iv$||rd2e^B<mBhv(4M%bWBaBhM@#NG
znvHzqnR#vJ^k{fk+wdShT&AbBK462p%tDgx`g=5t*U^X~<WrY_;2>L+PHiND38cuo
zPZY5i5LQPh4ank}1=cmJ)L+P;cHh7(QqyV-J1*JO;5LU&B$I{{8A(ry{m})=k<tIJ
z>mCS+0?^Eq^qQ`4;UbRnT&y1<C_}#%QdY0PJG&2!xc%F|{FK6EtSr6gJ&LYdRgz2#
z&#l{RO9k@RxMa$NYg@J*?|C-vsCVYs^`?`%A_`b9T(ZF^ytQ=%a8U)ma;-so7wfvl
zYqS?FimR)Y2v>U~aSE9kLB};i!|QFuG$@xzsL10S!xo`b5ru-^?$md5MqUWlp0s8Z
z>2u$%1sBJc2XQ*niPVld$$r!uZ<l$WzyiF3WX__wsN0^OSD#Ggf-#kC%LnM+e=Bs=
zx4wU?q8yPHu@@G{f4)guJln6X9xcd*|GaIt`C}RW<jecZpF?4_pjj|=PSvaZ;8DfY
zhEiA3(2|!!OigY0S$b6q%MClz6Bu`H_tr!x_W#tF0P6M`+i`l*hDrY7P3)=r{zdGB
zb|>47#<@QVa}kz(btf@S+-#sXYEIklU$B+p5^IBo@r%ARsM~n2=saOe=e$@am?p8k
zW8;dy^S2B8t7Q`p*p^hAy&w8o85_M2#S`O7T8J<YZ#tPrsebYbx6?|HJHwMThL)iY
zL@!wyQ#7ZuauUW;!r?t@OH}kGGG0`}U1LiuqSyv4+vxe!bp-F5;0m^?m0D?mJ;Ykn
z%uOji*=(bHKdQ~<7cI@&wMl>zx9e<eMBiM7a3)M~lzb^kO`X4{!0h9_(vinp?>z^2
zp`mmoMd@X=HA;`rdhw6c_aD%&cFlXZRzrN6xC3TZ2b-UFXLWo67+m|~W}@M}Son*E
z4BEr_a|uO*s)b_kJI+A3vlmPk7>Axk3r}7kavO(VmB;{ep*KF{IBS7n>`~Dm@gfpv
zm+Gzz2l5(83?#{NVre@q?KGa{lJt*<#dn0C>qS6`IhsmtUsnA-4#NKD8;gaj=e+x$
zivRO1<CS*bzx)#VM{_uTx}`kn-2Y*Z?om?@12Ly>pBI0L#TOW1P{*3a*3XOS61I3y
zDO#l)x#y+?Rfl0#&?$$)BmFQjJQ5LR{US-FaMze+T>ybXRzzV<yn~*janp708qJHd
z>6na&^+=vh0}8py*^iKgm;RZeqPRPv>4t6=8lyA`|H;rD!bTx|gFBfPgzvtto4OER
zvHEkO!eiMw7aL`zj!(ZDqiV}&%|=!(sNmO$KmTF<;94)b!xZCo36krn%W92X6-3K6
zvB|;iMhg>4fhy3QtwTb`G~bKp&%Q40k|ljo(1KXxie11Po=z^NN8~O#F9d$QbH9^7
zBgDj5hd8H4`!UZvzoO~*Z9ZRQ6vP|}%i%b2kLs|MI;G={#bE`A8Hr274B^V}v<T!6
z56?a{HHcdlw~p9CvAOUP<sp<@esySPvaE;0(vyL@a1%`!p5_;U+%*(UKKie=_meu=
zh!Q8_6`_;%PiDeLK+I`h*n1uBubYu%FL@v~^%qxb8EiRwVGBr}JXUgh_9`NCE@Cyp
zOqX(`42`V+fb;qx!o&TgQVp?#br%Aggm^$y=bK|)BMz#jmC+}(6*w<xwoLS-;lmN6
z-Gi(C&Ss*1&(v_{!hE5(_+(vZfH*uHq@s2jA*nz12{vAcSq<#y*7`@gk^_dO@lMI2
z2XFYx-6|JJEEC2=%Y|3(P-Slf37|i*3H~a(rK|~a|1V>;+dY9yM(s;KUY6E%X2g$P
z{1rKR!AS4h4~70EOT!N^{dE1gJmr?G!;+D365G}85;SuVN3EGkl}W4sk@cKUYN$1)
zBJ$3_;=B(A>6GP}PW@H?8nPV9ynf<AbK?ML4R7$f$F{ADL|gP=p&4png>Y(()FzaN
z`YWgJOGEkRJNX6OP=tzc0i<s47Sth9tz>>M>Ek$<-uR`-C6+s!E0m-$w1uT8D5_hw
z7Ja*n%!>fdSHhnQ?H)#%Exw+3icjz2Xez-WBUuLiN){ndH#m0~(r=l*aK>H8&_aeu
zq?zn~(t&BZ{!{>geToM0#vblu85#lXUj`}9El~fRM!R4%q~Un<==erM2~DIhZ+-jg
z48q!P;kxn>F}>Mex{A^!rC9_UGZ!u@Up%L)EOMH1&~og@)%+ZI^i|Ar4krnDivQ;*
zbQPi-<Sf?kh%HV3@*-Up@w#EpREE%YN->o4SCRYg8(HAJ(i7iJ1sJnExG<L*m--;3
zquDau<*RfHwA<3Ub+r_-*P;UdMb^n5o@XgJHXHN;Z*i>D39=e1YzPj(QB;1h<;^F$
zD2!>78n|MKw;eRip4LH7VczKV&w>Xnx!CtJ8}EW>Yr+ZE+J%K#h;kH8n4D=+x|&@k
zC%JX3jR-&g`;%D#A?fXf&5ezjmq$B3?P%^erLU;*T+(?lHYgL7%f^@f(a(zB-+QC#
z{R~sU=K(AD@alT~i@_Y%lR80n?lwfA@5Y!!c6A83dV?bf5>&&RwR_lp4?utF)WuAU
zc|_3)L^6S^_D(IiJFmpye8BmJ?W1}|v)42l89?EvdhU`mdjD|a1{#*_TW0m`avbO0
z+j_kbhGbhp2M<4DY6qqG#4IBb-jWOrLIooXMaxn=w56so3A&cxB-O(DZu#J1s)xCN
zDB~pUO7wV6HtM!S_j6}O|B|adq>UB!9Vg~FJkf<eC#D#vL==in7&gSPGqC$UIcz(|
ziJQn`*<aJ}$@0Cib}4<mfXOG7nlG6Dc>ey(;tD=J_3G((NN6eu$;XB`3eUiIh|rqV
z-WhMEJ9P3feS_B;O72rmMPZ$q!UsIxuU+5zAGl1x&+-Nx2-W5d8o}BDJZcTIeT;x_
zbLWO~NQfybBSk_R3D8Q531c^A+petgfv17h==d3Te7C{p@=(3yV9^Y7IM$U%vS2DB
zL*YnQS=@LCVICK4#>ntyd)Zj!#Sw$1Ll@66veGs#V3&n@vonefhi1M5^cQPAxy-lQ
z#68SS%$p378w<#Guh_hh_bq(?e-8xtpVlhYU5{Ix=?CiB+0iKw7A+eob;D?tJ1Tvs
zihVncw+AqoMJJ~$5%Z9B?6CLhoGKM~(*i)R>3)0r{8nYqw`QWZIMlD37ax1tpk`tP
zv1>yd(x&HIg%?6?P>%E%Q?BK@#u9^kG3*YIDsD#BerzWjyJo#wStDAT-Na6aJc<eu
zCwSCqpyS3$7m?mT?XYKr6u=*d^FqV3m-ui85Lh;Q)g?zN*)2~+Ue&MMXyL&kEJL}%
z`mr>$%Wbv0IXgSiX@a{AJY~g5A4!{16ny>3n_yw5LaQ#cUdo?xA-S#psze_8@9OYj
z6E#$bC`bs6Sd^xS2gR)={ZWhpE*c+9wxW&$cwcoNYoEEeno>G`?C$m|vcs4#y9<|)
z64^kdmZgOUUc8#oY6^5pP>*g)L!u@hno5BZeoBX&fVe=^Yo#Tq|8gBL8$VlIVvNf`
zBoBl-#Rcouf`;Se%NzF@XvwJlX-zQ}guULah43Q~gSpAgHL^WHJdx<a_Y6VfKX1|T
zv``I-M6S+FsB2fC9eq><HS_=e&|T)9(zKX~!rLLUvc4&?--}m!g7w*Rl)mz?A5Qm)
z5WZzg$y5NlF}?4V(dg8arP8GtuUtv{fG^EfpU|dc19%FYP;K@q^hZGqWTk7qLbX|v
zl{n}w!C&9}2KUyBG{csLI3mh(v97Vqon<veN5EM;iv@;<#wyqy=cI<VitXSSZ}f8-
z1fR_LA^|G-n9?e^1G;gdlV@QMzNrjRu!2%3ln83Oh$EQb1r4*3PVzfeifcj)Ka*tV
zG?Ox!x~00>DEw!MJ@1*+!%W?+v~3=wVBHhhwuP)0Co&-bI(u8M(`_4_c#&zl2ZId}
zF!0}znVazQrgM}}KT}Msx+*&xzdNCO-Sa*~(z%W50YrcwJ00P5JU|Zc{x*tBS*%9?
zSgau~yyu-oZuSPLs+17{Lj9q4sjrd1N?W@fniyJcgHu*6UE%VA?D&F{c=V#?99o=L
zxx086zh-%&LP-i{#EjX^<}2SnjhpGWzn1Ipmo@O%7Isbo_Q|=;Ov_Xo88y;-Glf(a
zu35CU%trQ5kW>!)9ThoRjo6MOAKL!+v0@jf9X<2GcN?#n*-Abijh$**Bi$c^_p4{r
z2^R{Nlar~QuI`hX-!?al5!<+3li^B%F~z0l3|+O7lg?EcJ@MdLG@WL7)w#z;TR!<J
zPwr~md&c`XvOf=yO`1ZVkfuUn3rBI!5R)mMRPfZYF*5xyGL5g_lR|o~p&^kqG(Ce-
zX9oA0e030d%roFDE7en9UH48pwkVbV9taQ+-lterB};OHASLKzU*#gQ8`8xKkbu0w
zcJ)BFBtyVc{IGo!%iIL4Dz7yUdOXorxlqR;dwt@;&{5}QpGu3OMur$+x_58aJ|Jq1
z-J--H$M8g2iTUkFotxIr-%m;NZPG$;F9D1CQ$C(L=55%j;LcT3^8^vRxJq%0aR1Uf
z@P5y%O>cE>j;>ZUa87{a*fzt5%&7p3o*7=7DEabC74M;|NAIWWc+hc>^~jwk2JQJj
zX0K8@xJjlh%sE1<4+@dl)s94dgr;SQP;63@)(cxyv1NCz5@U#3Q3#%I_R6_3+|fj@
z2ZZAsQJC87hIga;eYFNG8-DmwPW6l2tOs(;Y-HXO$;&gYfLfB-!Yb)x@c1sy_W%5-
zr%!ZQW|<C0D7ifdIci-Mx60&sCG{6m6{yC$AzE<$BLq(1uchh495uzpe|pi0|MfL?
z+dQ2+`dZ^^X_}`JkKQp{GR+gcMKU-r+BbZvi75i3<NNX@8=mqy!_j&4H?k;naZe+{
z^(~grU?d5VmUN(2FpngW0M^z(xR35{s?^&R+l}}nwKeOf9+IdZdf@7WU^$XF4f`>x
z7{z_ncvb<DFMPx-_4>6!@pg?5*ESw3WTLMQI~$YEw`b-EXR27$^P?xgRB;BT4?g*3
zir>_s9<r9E_V-)h1;ShJ-Qc2OS?yZ<wX#L$#=}$>U*fWM{6g|jT9qLLy*S=UleRhf
zNHe7#Tp)j@h5C8Rg;~ots_Ad*#|OdWl!K)wcc2jq6XoYRM?-rQTtX>BPi<@&hc`RW
zBVnwkTG)9FMTS=#68=XQ(C7EZ>SJlgD8UmjciQMsY~pLow~8fR!pf0=Da3jm2X<i`
zHXAgg*0Tg;hm&wqwi|3DL&MFYV3ajtsrZgMF=w2GUdF};U{VF%>ziHkI>*b<oifLl
z{v!(iJz2ICuo}Ii<!8eW9uKPsY1LAi1?Y#!Hv<3R)-$d6%jVFQ>-2TozX!X~xnRjR
zQBRUv;q0AMp-&kVo67m#Z5p%FzMBwDQi@@;JY_&29I_UJEQ}?ORwKL?shBh9Srv5L
zX@O<>5^@$Cbld=$Y7g(hNQ_rt7n$KnQrL2I&6M|z`zJ0ng*ivqulOVO1vLS$gNnRP
zXu@48%Cyj61i?b<OG||``XzBoZN2(A{h-bLFZ;KYM>Rx8sh;S`yQ47y*r`stjdjNE
zuahl3vw<anoE}sksoQq2AB`-q?CCd;q_$1AW9H!3{fG)8&`BM1kVL7}7jIa4jtyM|
zal)3*L#-D{g|Bz74aMfHE)zA(xyOD-)Q)V>HrV?-21t0{B!Gu3%X`vWb3-3~=&dHR
zoPrcLrBDzZ@{z6I33*xRX;{}df@e-BHV#{}YK^Z{lrX9Lf60<UsJ33=_9*#tl`MV)
zAyNSdVlQfzGGGX%k5vkp+-EL(%#Y7xq6OPBzr-ih?+{MSt-HAsBeKFY>(3YreSy`Y
z#CZKZ{uioKpX>>}tFQ<9LHF~*R!}J!RzSCwx)=rhkC8uQtEbT875zB%`ad?K<pW{z
zyul!I4@cBZfC^Jfjm&mGr+PiT=`@&jNIE%WFmL_HaN#t4ij!c1`@42wN?~fReU_5m
z?|=t?7j6x-bHzRR+aG?q`&x}wpUPgoM0=x{rw{O9jAosB?G7*@jFX+9l4yo%PjhSm
zpvVPe){kTYWZPK7(e{kU7-FuR#_)txRQ!F4nL`=kF2D273WeedpwC_s(}F?c*mu@z
zn+lUO2`M^1Qncy!WStyeIVhFAcyqO{F;N^Yk<_%1LKL_!LFU0LSet#N>~H<i_jUb7
zO+|H;X}yVCG0o3%Yua@cBZ8$}v6tQA!@klih4>W(43%Zju9JH#^OZmz#T?<AXli3z
zh_<=jg^u<}jYpkW)(a8SpI47vGk&=>)>BGKIYC{wDmn*StJ*n?#6~guc*MHD7ExU#
zWFRPR@k!%k3r_rzr-Gr!SZC*sI4?TDZkDF@3E;>rh%=%zs)GdOFpB6+_>m>V#8V7b
z*bi5Mq9jFz4Odmn2}h(O5)lRL1-Ax6`t*;3I+tI22etqk1B%UaZ;Drqhe#`NNpL1z
zV(5J^aHVI#LQ&RZ5diS5w)WjaNXg6jC(4DQIMY&`cCFR+gj`fnuXQx0+h1P5Mw$%1
ztMFCE6&a#m6$n2KsmPy(e->F6<NB-*Nni&#2&^@ok~!<R+~(0eTVOCM|IRd}A#r}W
z5AY?X_<H8b%kW`XSNz5IXLBI_{x^!349&d4OE+4^<7P`YlExDP+qI;B=g$0ncP`?d
zZe8ZB@-5t2xKk7nIK)kMV$kouaCK)<z@@mW=V9y8PW4or%g79#bRdOK{+xS4ET;w8
zK`3n3?SPa^QaMzxHtflc!&2}(-D+@f-AGN7$aTFpF<vG0Q){->-~p24iVh{%G6WfI
zk%=n^4r9CULexB_6<fCc*x)TY+~0zj9l~m-if!-kZ1>9e+~e2U=To-E+zJz`r@c<5
z-a;*Roy}KC{;sEyKHM4?^nc+acIZ0&`~_NYj3eX(*P;~XT4~M|V4@FVWIj^4l4k9r
z5HhQ^#_SIn+E8>A2$b%h9juPb+?U^Sgh?@75Hkn8#r^AAwncgLug4n<t<)h;A}T-t
zf9nm$r{dAl@nX8OQN_h9U#}Hf_FiHA_$RMj#!?XmF?y?9_-p}f+`^UNBa!#xVZ^M;
zJCp%_RK&1XD{P+Q8ag&%%=5y8E3|PA>OKNQDpfKabC^Cy`YrGiCjB-e8}W}=W|Gb4
z%GWZm%(l}cxax#`#ms&vU|LGKRnuNi&&}Ca&irc#!juvNdeaAMG9bZwl;}YU0r}ai
zlH5KK6cx4NZ`7shdS1uA|3~~*aAFm9kkc{f9Gf}1&8))y`JkXzXv&PA1HZAC_{KXd
zF|;64a)~fo_4<QJryXc^)FI3Nyy&O^_w;RuDtyG!^Qz^uC5%ZZwJEVRIo!_=cgA&k
z8!rYCY;I-tfdZtSo83U<OjF{+ahk8e`OZtYf)v)ip9~2GRgCnleaZ#Gptrh#s$p)>
zxyEf!zZfdU5OJ5?MfkNk+kJT>HPw`;c}>l2Op4d?xQ(C8o?aC1%`N4@FKjLCk(Pqk
zbTKjU;e&_J+gu_USMi4m1Ei%;=oyCI<C&L1r1(Rq0fyHQp?4KPP;DLq(G~rXZ{DNG
z{c8wfAUtAsMb`qzVu6@%fdxF=jf~iE!Duidd*(%WcsM}_h%^C`m?XQm<9T)X*OQzN
z&VB1Bbji!4TLd2ljftLKL>QfvSe(`Z^vJr2mXhcV?NDr3sbaXq;N)Swudmr*U_P|M
zp53BKiNOtjt5d+ve@`Cn{Eq&4&_oS1eB6^at7AMNDUlODiC{@gw8E#Vm7t*{d2rWE
zoyc>=Tt$<2NQC#%e;>4GT+^`K{l@_ikWej#<+RqR<ek36*v}!alc9?+78fqvxsONc
za$J8gYF=5$Ux*_Eowx(Df#H+PIHHV$V<0uZ!4>%Ti<jO|MqK?~kXUOs1E3!VPzBvz
ze~{%5X8mBCHV3bKFU+EeSa9%V{PjDP)EL{uU3Hrd85pXUH5O63k{H)<>H2&<q9ahx
z?X`0kfu1$$%rhwx8V}qoMZ&*IQfI_(vWX*&zKu=O^%h}3_dnnB{F~_z)iM97i|@;O
zElaPa;&ali63@{4CgmbkCKJB+<_0y80QYZNW6Efs{4uiu-C~&harx3=Y}j&Z3C7zK
z#sTQw2O(u{Ed*P=t*$-y?U!tjz#BQ*RhE&c?xGuqe+>`w{U@vNv^_KBc$aQ!11gam
zp+>@m4C}<8F3-X>hQXtdq1QZBC?XM4$wV^x9Zocy&k@C`iddr7%~AAL$=OwNnQ9QA
zei_q(QYzd*p=X7q(=QBc{;14VgIXWWu{!H(=X;z(wVg+xJ>Hl>dS9(|Z1}tUvZ%de
z5VDJB;2-_y?pfn;|JN4d>3ldn_Q8+hkIZUWs2&xX%p;^8e)(w-pAHj#7>yIj57iwR
zhZsc;ssVx^n$1lb{uO{i*#{o8a$?OwOL8Y-29eHsj2CsUPGE`PjqU5q7RbCrx!KmI
zZ`}=57`UmMgqy-Ky=9be0BR^T5|&XIoU0<1<DfF9l5A;tyEbgB&hgVm8atVD?zFS4
z%5!IX)Aup~blZd9@f?@G3OO$Nj?GHNDu$WwfX<S2b7N)tuJ~0Zq15+t;i`>MGyp>D
z!>b|YCTPn3fsMUI+U=oEQ+R^`lJtV6ykH6F>0CkC6)|=kVod%8dxJ`vhm!!zD==&-
z#2@PDyRcW0?Nv~K_ouxnsw}75?>gqpdpjJ`&S-U>ZXz-E6w}aZw+A|7=_8y=7Pb2$
z6Y)(fCk1{!IAr+^Vs93ws|}k5fFW*HLVLS2w&$cX>yJKY2S<TOVHQLnT)<>I(pYAe
z2kypp9z#|LlC=Ur!pl6p*75bF_lv79&EfbVSQA>%8Z!Q^|5@tAN3=f<aBwy73H&iP
z2Xy>nbY?xppsw&Puy%==3|A|%AiUxC9keDhQTxt4q+b9^AV)F*xqp2egMPEM^F6>P
zHMNm0cULo;v*yROdpO@$Dan))iVr{4v13W(0%K<+@vOK+WRbK=R)3LLtk0w(p{FsM
z9oMa|>4Cz@3|TA}1Cqdw6R|P@mhP;u0e4avPS9oZ&&emfOi{vM{<ut}{WJL%2`c^j
zAPeV2h4O|rE9ldClBi4ay-^r<qo4+WcY0KEkNjomq?K7sj*0KdUs@`c%c_4I+ni&a
zsK%HGw@Wn-Fmy_X;U9*I-S_`&+u|&DV&L6Ib)Sq_BVT&~xzzWZC+5^(e7yR734_pW
zG=(wNt9HjUR*u`j3tbWynt+~Zxp71;R5v>+&d6bQK^15i0)V!a6F*I(^vB~L*RgDf
z%<xX~_D<}dn?czvq53`n13#h}=!=k!Q|M3NQVD(4D+VnX7;ZNu-H5YwyW&1P%oU!e
zdQKu<rLZ}~+8tSsgt+heSUCsChJeunr}uo~*N|sahU%U8hLg?2^QC+R)8Dk9=zRQ<
zz<v<zv*+X@AJ#(<L21!o_6s2#r=PkOKWA`UH(9qpJVKUX-8qqzL%JbFuIP7{-)$ds
zoPwExURwmNEIPoWm(xlq6q)etN8nyRM-V~44c0cv^(^D}dO?y_&cy<{2`)K-jXr-G
z6Zz0t`XDapI9bp<XaQT6H1S{CPW`Y}u+g+(52Vnwj4zPA3Acf`DCNT<E?(bJ>AL&m
z;}_>H^K2vp(~Rnw<aXTb2DjyHSPcbw&k(`v6Sy8ft@V;+qOu#!s%>wqVLytD<PesB
zq4yN=fT|p$*39z+e*4I8aW~|sPW%rdBjJJej31-#8;qF6Q6!2M1-A=@=lo&;qkp6@
z?M5P#jRL?yhU;z-e7OK>xF-QW3j9}C5$*r4A%R(murJV3?^fzj#4gdY{i`U2tG*ua
zgHUuv)+_L6_xYr`My-USW+#b>&Q)kXr>yvNUUbH1sG9rq51Iay*(x(^WaoIcu~rB{
zHt>c)F*X+jRcGMDPLj-uB*{;ocR=tK0K_fGwL0va8yT`10rN>A@OnS7HV{c*qG<o~
zt=Yy>y#;Rb;odKCynbYvpN3{#OYb{Lq|y<hOs^eWk7}|8FNr5JK)XLzXI1%~=56pk
zJ{E_?c6{V+sr{=<LbjZSTlyrl+*&iIYMMoIs@nWcA@DJrk>ME_JXI!?S+<1HnLilo
zx0FH06Bg83f&D-0c{LEEElxJkMu9WwG-^Ecgpn<xQt#C(RNI*EhBg*AC($-CT+wkM
z@q#~1a(Ju09rx-LSUCh8Dl%Q+^pc#`Hz{Q@&fVPY=$669BVan2ns|e^HllqACv<pR
z0vx+PV2_jfO90<%8jFcchDuvEm6qw@(;J$SxN^7&-36?dXkQ&pknl&msdewJ@O{Ud
zo^DFesJ8I_k}u248Dv+u#MTyWq@|&u>91LtLoD$G|Gu4zPC4+eMJq<k;KYYdXxn2y
z)O!BzxrDDX{t46hY4^&Gq}L`^%p^0~yx_2-lX!P4IVSjKMg^h}jgexsp4zlw9tf0J
z3_EtDzv2M1qFh>^buxYhpn}YbIg)<<y%DV{u|IC6rd=L`B8QOO`rT|as3JB2V>7G$
zY<j{^99rCV*FW4tX1>h9C`E;(ToBkQ`hET5_Ow69$gOla>p1n!x~LZxq3<<V#n)NQ
zEeeNcavE|P`ENG%_XY=+<G5rRnh<RW1XCr^5^N2(ep*^Y(zW0^%Nr)VXyixXwmSpL
zuM5;@l36zX-V+@AI3PY0=fJ1B#wj9lmDv9ENHcNg_h#wDF<O?<&9m(h1^&d7bVuNp
zz0DHWcq6ud>HcZn&a1A&n7fMNptUg)tw0L&%Oo%2TiE98VZ3ocqBNm<>XKI|DgW2#
zq5a27)Z%Z!aG*h^#oXOA<_wj5oA{Ssd40Y&L!O2p=kV#wr1esk{CpZ>)jZ7;oW^+*
z{!n)Qe~Ex;il>Q`@)76wFa>X}tjvi^_~th&`C*Z;E+X*jH!TuQ9aCkFfG6*chD#T<
z$3-H?QWwc(gjS<-Tq0XT`X=Nf?Alc!zb)C#@62u0MnmpL9RJ`4<Gdj8I39eXf9yAD
zQ5+BQ#56SCM|VS7tH`rOVp2KKc`bu4kBAcpm);q)IYm5l4~DbRoYfDas%P*gY!4Qj
z+v(ApdGm297HSw>!d-=Mm^*79Op{}TahD;qC!K|EOEU<hXp{ppr1a=(_1+u>%$u{9
zjYB}g?<yd^tu};*qL?IpTf--t#AH`^=}W*h@o(_us<*i{r0KA1yLs(Q{ZY;Q6}Z~2
zeGXN2El^PhQG#$;4Q->d{WQVde?r+1F590LexG_-hxvJNVxbbDVZ3BT%X1VXkR0U*
z$veQKng&E27a1{Irr?HN4reUPOG}V%=ekoJrh#&A92BpA{mhvrlcwulNlOiCsQ$!;
z^?RWMP8)cQd3`X#a<xb=D)riaMva1PO28^s7%7MwB_$<oA*55-RR==0v`kQSkU?hC
zE}Q#Evaje8itc{yU^RDe&9ROCo1EKu+7BLM^ZIfAHJ-6cCZdiYw~k#$J29LsvMpi#
z+O^)e^2<9Xfd?NsFLtxo{mkGnNe9P58p1l)*91Tq{Ftl0Tvyw7&8#Dmi`9sC30>&p
zy8J}V0$$*~&!PT!G1l+ynOM5{ve-@%qZ>O#!fB(h#qoR_5UT_rltFB7(ZZCTk^T<N
zYoNz#uq}>Ovru-**Mt=mgs!GyN3){EtAmN{z8kg6>DrsQ-iPYFBXdYZH2uW)s1w-k
zFcDxI{^e#@ru2G|(By3oA|zX??j5o)s;;m0szkW>-L?pXmATs@nHxVYBFFDrp~F#0
zJ)=|<Z8@aOaPPEG#|+k1j}qhxZirSV1J%YUlG#0?%LEmPe!g}vI~Vz9=@{ahoNK!s
z>C1zp>h`XuQ%c8n%YZ2y?Tuqu%!m0bijHc6!|Hf?c1?_bZKd3q6sTz?3zp`2$kq(?
zT+4RCq<K%IktMT2pI}-dKBZeMQXIYZQiFGE<JE-q;oRxAfq}GgmSjoVaBA?0<4S)6
z=ne0y9JB!1dNChe?OxaPJ4!qAz&#bSCX~7ufUhz^5iqJA64WO6<#%+jzoJk|6^o?4
zf_eBdcZuR+O#FVf@nr}>pGY20m$5gm)23}>lRYj@7Pj<F*BxmnWt^L$=@Yp9t~Gaw
z^tq@WcSGN<-gE&3==WUP)EWCS8P>l1p^N{Yad%hLzg#_xyEhoSTw`P_3DDZP3su}q
zEKG=_nmBj)d4gD>#i-v+y&#HCI%%c@tc87QW+p_I2*~>A{9_6zWC}v1N&or;x&SOl
zV(C2GJ8j2&-V|%$Y!Nend}FRJmMe*UYT3&xzv?yx`cjyCsLt!2X+{UwjaIlp5p>-q
zazBu)%&}a<oW5feo1+Wj&4~0VhfI@%q;3}Cv!2-f%4uW03t2ouuII>)kPDL53)v3#
z7m{KtThn$VqB&Jox&y!7Ep%`s)-dR|(ZREmj$&MW@;2rsLtCtdjvOf6b}@wIv_WXF
z_b)T;BacaN8p?I#xbwK}{sC<qjpOq5BT+Tx_Or&6kvrmvD@IPXjkj(OkZ95KW!0Eo
zT^-?(mwqP+-DivhFGRPUZA$uU(<7>zlC^F_siGLn(<fydI=q0frBy6EO5q`tyo0E?
zFO!hGMp}AeYoYm+hYCuwSo5n<)HpuT+-iXAv=N=erJgm|MA|X7gzTx2<Ty#QlJ12|
zpGmy~R$JL4d!?`EYVk(xF_<aXthQD9Um!`^gPcas`lni*6$by0OQhU#g>`+ujNOkr
z;A=NezINx;aC>=T%+Ao=a_wgQw%jZl6S96cF3z~YZVW`VEaufO6H??zyCS3|INzk1
ziRYHY(OcI92Ih25-(VMWi+3C#GI+GI=FLm;!>>SwH<aU}@}fa@KCqADmij`@WC_`7
zO+`(uI=8rja#*R~+VYwXfI_m)>YdiZah3WRuFyS?8LE3)rapSiEVM7lW<0j#FrK|d
zO#fL+``}8_-=z7B^VQ-rcF5iQyJ+H`qIaNUn4XV)0zNK~rntsp_xbzVTeFS}@Xr0m
zdQ5I$Ktwc`^ZGdSaUBt5*l+1XiS60Ph4@Pn82OO_vg$8&5L<kw0P+(p>?930#NA-G
zt2c*~$VwLZXMwNtZO3BN^Xx8zH`^IqGAnkMC6r2^=W&gIk@mfN_i#n+y%`+4<^v>~
z+=wu`1+6LRy{{=5)Uk2X2I(~=u@A>n*tTF8x-CVY&Nf3-kyU|0dte$1C+#TJh^{w1
zrT9IxMi&9Tj(=?&7p=8A<6f7wJ+!{&rB6~RrTvxp)vBh0`KFUWOtq#Z^xCDH)p|aC
znwi0js_-n4+hS39RTG6RrcXN?FyyhBjBBS~+0eTP|FWfZ;Tw(V5eoj$9mW<lB)^mk
ziJeMKf4|iBv-St#X;EgP1Gn-50f<^s!fW}(5O$Z}OGnqYG@)%I%N|L@dIs|tY1pu9
zN%4M?B+NH6$Sq&omiBHv?Zn(y{Kg;hd)|TwKRW-T1)(kwH%Ys0WclN-g_arDl);Z@
z+(x>3=l2&NQJ2Ufc;;#+9Nb02#I3c|)EC<jtNP}8Ocz-?fK>w?>RG=QRogE%4h6oX
zquo>fOf0!&YFDG~z8va{WP_|Hv*^v+PnLBP4+&23J7{xA{a93E^>}vBWTJ^M?XEtc
zUFtbjmEx25_3n9$??FnH;hwk+!YRgBrI*z#qK8JhG3VjNHMJA2IIM!{%DCOVMi1wX
zd|V$RI*++tp^${vg+I9efc12L7C{Jw9U9SbMyAh^aURpjXFv#>qpyY5M%>_N7QQ?e
z*VnqHqg+os;JjIs?7?CAADlhL+0LH4#mU^((SOUFZ(aX!&nH|HPCOT#v6*)@c)4c_
zg1q{6558C{=FUx=F-R?nVYih@s}1J;iCC3rG6T`8$#Akoq4D5HWX@ks0^orBIXSy%
zXS8vbgaPLYg5Cg0<L}`*;JZ;QEVbk_zH(`<#G@9yY?#v;O2tfnKFBh$2hu<mwDBQE
z+Jls55*zOrM}UKmJA%|!jZmqYAgv=g)`*PD$$!&LTR>@tF=`g+ciLMlHtr0jJqp{4
zmFcsiRZ0e-OiE&s_;!Ij+4p_CrdeQ{0$5cUQVDInHPo9}nfqM4lh!ft8U*p2yksBC
z&IB>i_ABr_T|^q52J|?Kml%BX*$fdSIzs$^M1f4iVUQ<3eb_*=+}o+A-dtK8pmd`u
zO|~mAO;&s|qUNRi6#(W6K3qye{=ZHXTf}o@xHo#NL;&h&loBUd|MR4LRUB3wSI)r~
zcM7fb`{xU#mc$wf8s`i_Yo8_))%YpyNHNR#03jPzB*bC+*4O6!L@8X!!=HB+AF4wF
zP4F`?98xe&utVZ>*s({TjECdJ9*a=5GW+zJrH0_iqU8<Xcrp0#2Xt0Hcz~jQOeM!E
z9+KMGH-Dw#An=cd5k)+>fh7Y;3}^?n91q4nYhb)?cd1ZqWlC%YA9qPgbedRI{2H&W
zP~D@qKUK+n`G!g_;|pL6$%J*-ua%d16w1h}M>#d49{EFM&c8KdC~9kh*#5X(?#CRT
znO_A{%}?fOqsWrILVb&t%q&W!t0~8IS7-p%iUtqRpj3w5U;cOlCK=Hg3LOooS|7B9
zM4zR#km|WTG6MoAAgZNWtJtdQZMX7BY;e3kj74t}gYhS0-;1<lR8lrthlV$a35Qwy
z1GFi0f+V2(3y3$EQ1(I`<>x|aWYW>y;YRKGHBP0z(=m<nQesBdTlgf*ptOy>!Erv`
z;|mfkh|KoJYj;+A)Qw1oIC6+wmS~Wc4%EqP#t)5ro0if$YBfDyfh*e%Uadh+k^Aa3
zYs}}CdX5LL!oyZrS<mt8QM{bo`%91Tutx`xUTNfuFx2{GS+=wh;v`5UnVw7d<UUw>
zQiNRjYD;eteh1SKR!A7r4xW^<A#b9FYJb$2qpI`-(oD;6Wf=uUxjk@tKub--$1HO>
zUiI>FXb(8`@u44Tb+Oj%^A2I+w(=}jdnN9R<u5|%kNLOSABsuhDj<6@X0Kw6jiC7!
z82=787E_e`g>+q>7@oiIXIte>%aD#G_YDhkAsbX3RqwI>wa25TyKEZSuZ&)*a`#tn
znv)CWfSE}bwI6MS!LG3CGYIArO+>yE*9|o2Lv@Se_a{+04kYG|KDJ541znC+=bX^J
z`k~5YIxZ2F2as&uQ=FV|Eqtd^;q!xmU4?8=0gav3JYq?}=g9$;u~~ZX(fXt$)Kte3
zb`S6SXW}M8I`Vs=2F!d>7zaoo<cl61@CYh0ck_f8R*1G_46=2WnOQL>TN)XJgcG+b
z8m?F4&ZHhml}fv5kwvxfID^j|t2VIggMUl!qaVdaFszX>z1!H%sJ=QQ|BKa*oY=on
z!@_8U`GMcV=WqGoLtbsX^$P?)k&YR-*_I*4v}=D+RB9JR8yQc>pSOs@2d)Dkq%)WU
z`y6L+6eJ)(TxP%hM@IW9op9b1_kJOkf&;?CIoEp5?ROUYdx^kS6;1?Y@?XGzKAnAV
z|JL#c%F$7SSSdO_$^w1tY@S=4-Ta-MwQ-pk6Y7YUcD(rlusH?yoNI2$oq(NVXl|i1
z-g|!c(YyTlGE9Obny<~ahb4oG&9w&r!lA}_>J2-tvyy=&(`(YRcFNpty{#mJ5QRg=
z<_0@^`g2vy$p$s!K(Rx?WLifa#7v{uClp*&76wYkPK#?V|BD*rJIq}CaDFIe?i%m|
zTgN!H4Bj!B5glaLl?SA+KbyZn_I5|zD$bfB|GjGx%gg&Wb@d4Q$o;-Fz6<cP`@w4U
zz=1oeWspT*nSsDGEJ$VmSv|5hU;xxL*cDk_Gxn~s5gt|!lJLBNNk|^T{2kGb;!~~W
zbr@zyx@xIFmHBgO8yyI7S~4o|>2Je21|@&A&M+UksF)8LQ1=rRlF>0`3@CMtjnGh3
zpd7|)7PcbTm#FgOgXZjtc2Z2-(4dtQ5j(Pbd~t=T9DM_ql{Zo*iBnbHG(A>`8vx?v
z&6WF`Hz;jbx6UlH^5So?P|}k#F(E2sRe$9+MkiScr%RK160?+K!Cwce!j`|e)P)ST
z73RUQtPHu5hd6-h)^4nEKNv4s)35d;$9j|X93bn;-A8H1+&9J>=R(a>H1ig3hoX9f
zM-^0sMhVpqdxDMg+5bgeN9y*qy^g=KUI}Xb3;R5J8ghoAPwjR@k9YDyOw<Z+u*YxR
zJ`;8h%RQI->s1UN3tT%Mt8HQpr1ObDTl%K(tN0<Km=BW}HjXH;0}(gup4S^I#Z)5)
zIY95lE#=i5&6iZ?@&?)q+COVW9@Daj54qMN7bc#y9QN?jhdA$pVoA#a6fRsZg*E#Q
zkHvK$3*L}c1}{31?FNA3i_1*)y)`jhkc1s2mL632o3|V&#|P?rmVgePK)B&Sgz)(t
zwQk)-#oUZ72DgzL88iI0;qt1m`JCEZgN?8<y%~RzC2iE^EOx0fbW$UiTj7&|KQd{4
z*G}xf84ly9vY=wYDv|k_p70dhn`4}pxwZlv+m9RX8Q2<I`TIhe5$xLub*S<(2XQ+p
z*%ogC#lMv#kj02wW3$gmfZzKq9Z#J_ve?Lk8T6t>84(umXu>^pUY0^^F7NVq@!+4V
z+HmOwZ)XgOTba#<+m6*gQDW%TUvW0uqVLNsX%yWkEZ8NMva=u^<exo03Kr_qXVDc9
zxEOlAU2zdCiD{F|M-4Lf^UmtM{&u8VTnl2Qk<~~L2*7Jqjt1pU{Muv1@Z5F*4z4S3
zcK#Sbp-AkHJf{<UG8FRW{Wrc<dG2{%^|b0cm#j~5a}&M;B9cgqFSa`48Viy4{pl23
zq80YTdD`1U+_X_0YB$o<_M3YWH=GaP1k;DqYY9<=H;-Y+D*oNq*>&-omKh<LwqG4f
zWuI3ixIMrXr#LTe;dDZp2Lxl^sFOt{D}GTV_OVfRwxsx3gruFc3eD@AthW~KO}3ae
zd^g{k`8xN-QJzg+!F_@<gL@+!8Pl?oX-OtKiA(Ok`e5|rK|B<GXvocf7@$fiv-;w_
z4W6iPE|s1$$G@HJ&#<Xrt0A14O21>I-CQ2TXl`QJuw^tIs8jGcZ{pk>KkX5p54*EY
zK`NBmpOK;}-|<cX%TJFaMu6jcoZcwOmh!p#?4FA)&!1Vx7zMlv7<|~Pp3TC+^U2VM
zPhXNdar^G$1Sj8Z%E=+Kia}sQ7uj{KkSu*qDs4s&pqRYxSKzuxNSkHW=z80uZalq<
zc6uM?rmPhdI^VRUWKsa{R5FsZ#Ba$%ZF$_p{|W3bcuGw`X9cAv?eHXG8|D9gao@Zr
zE-V2%he+}wJF$=;qczx#n$ltJ;U1D@Tfg8j@fELsH%ReXiG&wF2ShO7yGu!-do+@Y
zCi67-jed}oA#oy7J*gz(0Ak?v)^m7QUZuA~MH8%g;WU<$9vpgkV-Jw1wbnyCz=LBH
zL-pP-!`8cvTi)oC#Q+ttab|bNS?!y#iDW5iMKCv_<$L{q;di*}U*LSq_e#yrFN4$g
zc|2Dl5a~^<t1DVAW<Wai_)PSC*j)bC;J%5y8cOhvsAuG6Z0yI!MS$RrR0)q$#hc|o
zhR;Lyx2(~@Wzb}T-CA&y#3Nsl&j(W~w-!Fg^ln3gg!Bv9Lj2?QJxS~k<FB8wD{CZT
zVgebbK?)1w5qt8F;f)j*@AUrJ<}?Io)@zk=I?{d<-ABvu=KL$yKKu1HZwm!vZ=G$a
ztJ9z4o$0T+t^cc+d73PF_^>`BO07iv=kS!p2s3`;VyV(kZ<PGtJ54BA&OWE&5azG<
zkx>G6qkdg4{E09+<>(dHn%$*5m<{Wu)FFcQ#kleLzkb0{<{uzsh(Vr1F$9D#X}KZU
zQ`_`(B}Un3bicVVVrt&Ei@GbSJlN1Z?+GjXZi-3#TXSYrl~-&C6MhGNY+{gSB9ixe
z8%y?%>SyS8WigVMu%z+6!Zx4UWxX-w__Y6EPA`^}h8+s?+bBPn9BYFtNZ#Q+ppiHo
z2z6HLE5H`^#3nUUJiNZj{;iwW(w-mxbx26cAgb;FBxUq)I&jBIOaBzy*VQV@T2yw%
zo9!-%At#Ga21~~<ICAd0g=Vhd6aJMWf{0xA$2B9-SI!``7W#SV{Fve73CACJES2_&
z`0JI}9f#cGMqmGPS1YVDlst9sXj*K1)iyL<PuHws<x%-K4W-o0x)}AB6UnFIkMfea
zGGmu`3gT!H#rF6jJ3D(xJdW*=r{|<O*}j36A`xyrN3<2+D8~m88ad@=$vRQQ<>)@y
z&dki*;s!lI$0R3Xv%7?}>xPEv0Yrll`*uUn-<2+jZy+bbf=*?~Ztqw!FC1(IfrOAM
zk#MxC64I-r1P(PngZ5Hwr*LG6hM4dm4PY}wLZ-i@)9xv~SoJT!iz4oun(Yez;%WVG
zJamNWLsMJZtZgwl1vcyS+%lf)l6j_aW%eG9uICPY9Qg&>yz#j(B@&TJ_X2V!(Df5^
zCt$B4osyH`1^EMA3i`K~yq3mx**Z`12B!1aMfAG2&iw?%r>al&X1KldDH9i5FI}DP
zx6G?Z4nT8;vGJgT?w%@A%J9c*<nc%%*$fVyDQg_xKAH}yf?Nrl*hUtBV@XU{$3~gm
z7Ey`!Vc|lc2h#YTPWVRj_ocg$Rb!%mM|2jQmbi|+>w2EpFTq7~uu*Z|wl^jB@Sk0x
zPTii%>gU|&+R7=a+v(`oh|H4Ms?O1E<KH}kkPKhNxUJ6s_X$>})<?@}^Un6K)@I58
z$51l4ABDp75=obZT;)Qh$&G$3w1%>X)ns3@kvWNk65qqQE+>8q+{76Y4QR)rk<=i-
zwvsaaL_5s(Q|Ei4a@kq`-N|xM6vCsQeg8*|;F77(FUC^K_~kXQQh$TC-0z)}s4^Z$
ziNv*h_iPe!7xyh^mDu20qI6VPh3D<>F>XWX<K=ZC8>5~Wf{C@38{=ON3~k-R7FICd
z^!oKBZk?WEQTb#2M~uDZ-#_!F3D!>|)fmF~w3H<x=ORrXpcm!IVg2#!Kvx^G{iah;
z!1_Uk#bEQdaZh~m<6V8N7H9BS3MOK1uwmD@H;}j&Z4P)SlV$a9^UM)J(j99=5SqcF
zl@uEnQgoo~$aJ-XI64sH0$FhbOMbl9n#@S6&M#zTsciVc!atA1?Pfe_)~PsmJ^uG}
z&WCKEp~*85u+Vy+^rqynEsmHw4?zd;t(<+zC<wp#P>VE=RS5s>$8oCZk7*1j?hnB2
zSAaFWzOL4A4t72w;fN8zC1>1o(BfmmPj2nGN<b<!iIY^wW-!TqaX_eQ6FWQk8o^JI
zwTBxsqA{#|<}$_<qImx_WJkXm)^Omq#!bZP){=oNy9T24q!b45v{--WcI0?G%-3xe
zvsoz}u3gX+(BKfw$FkCgvitACLRawY!zjgP@(qfo5i@yvJX<ToNDl8TCmG|gjucuA
zoIm-oQsRgFUcje^z*|xawt%SSo^zfai6Gh+e)He*+;jLOBPS!~hIKXksS|aR(p?k3
zC2DHUFD#V!(jpmPJe9^C89=%&1{m_lvg3w(az&GWq3`yAM9OUqg*D#9pJZa}-0!zH
z>zgT>Ne&jLmfc&0LSC*pf~ULBD#70_6JHt$=eb3i)%@*SzHSyP5#dC{JUq&G^OtHl
z8Q|aZBW`k%F623dQT#LdwrGrdK1g<bhbc9q{^m}em*v62i6l*h)1=%VgM=*V3t3ln
z0k#lGNnK(^9B0#1E;$c23uXbfC2IrGL+CqJ4b>}2re{05lM%gBSHx!I<@1Y(ab|aG
zK`rh%yvf7$xz4^)v<g}S^N4T-v41-E=RA2Rcr0TEND_-*K^(!BjMKpqj&`OQ*iRu6
zVsAdVfD??%@U*_2{}67N{kGT-D!Zfo2vZ;ikZRqhCvW}3FmTjdmLB!=a4q~1=c4&F
zQ-P%I_>dsufL%U0C%n2t*Ja&I>p7_&(XZW-rn`rvJnFA8_$sf@_Ap`L0MU?64SSFf
ziXf#ayh0AFDSt(Yxl~C16k5&FVFVc*ry36R%MTdDpa)3J&*>0_68_5Es9EWB|3j_F
z>Y#)ksMIo-^+9(k^(+q-ZtL^i>qirRwp`nJ;JNM5YL%mbAC@-H*p;vN?%e4=9)J1V
zmg2Eg_+oL>5Eovv3lIpW-@~1Pa~|b28`t6Ky2KJwo5esA(VOssFiH{g7ph@_+DgEv
zwTb@9N=nE(ga-llCt-lyco`ZL1FjV!JT5pFk%XLw9#kh#9C+vnS4u7_BC^H}FR1K!
z-<xg@$v@b>E%dYg&<ixFIhOL;PgjSsC>hlJGNs>g^A$VUd>qQ#JeoF!Z<qX3n<D3r
zB!(3YLgM#$R03GcKb0m&%>Ab@9NoT6ZUNlPZoF+|F<5qP_<@-t?y+^*+YJv699XVy
z10!=VXejA#^M>a7b}NzOA0AJ9Wj5TY)pvO>pT6Be+zgezFTJ_1Bmi(}PP_#LE$6;2
zRA%eBMaT0b_yOuA;xgmz<oSPGeRn+8{~GtL9Tn{)qEHf|jATX0R$18%lC2_pG^vzX
z6jAmllD(xei|jozvO=~9&-<g_d0x-!@z*)0j_&*W{fz5+uS+iI`rzE=jr+$Y!pE5L
zk}lwEJoc>|wccS+Og~pqQMwdD`8PU=UN5W=(f5Feu#BVtbi79NB5&VXukDy0vnFRT
zxToA(Ay3!k`znXV@%icG8-K?c|0G>MCmV3Apj`rANsn1cH`lB#?%DcvRWw5mHPX>f
zU%q-^mQ2pL-=|O!9aa2cBiWP&heatyFB#iWQO;dsItJj7D3t4NMuom`MP3oHIYWjY
zTD;b+0rLfj*|zB(*TBsd+!o*Ngm~K*2IjC_^*?y7@JAY%<0-msKfHcWKMYu94>wrY
zhJ>PS&UVfL?RLDCgfd5O+_JnwD0Jxqsk}zyEI&9}bIvWH3`Aa|_wos7eVt{Z7~cWn
zT*G<pET@-SX6I%9h#(=~nl#{Cie6xzFiRf4s36}sblt|^{i<TosWstLtoq!o2R_z@
zY9pGIdh0e{SlLdj^dOTGzh<pYpgLWVTq$N+zq`dr0TFbU>iw<_6V!S!8bNtPdPgs4
zv4@HU)N+H-JG8Up6dAe#tg#$SBoPdMRV?W4%hwK|@z)R9=4U`PhBT&y$&JRxF5mqn
zW_myfO>%+u=NI1I$SP1^R|x#ADkRfi<n(lf$Te!zbzNb&-bq$g4|p0u*YpAKntYJH
zY9evVxSob$#f|Hi>|#0CHQt5B5s66H3=~*n?<v3K{%3lHXM(z_>*0H<LSB2RuLLDu
z7J%H+wdz$u<>!ZMR;X2v<h`;I-{~iFRGh@&k!d4h)HjcW9#XZYFOO8ickg(8Y1%>e
z>t^#Ulkhm6vCqd_w9Vi`$#7W;)?8>Yq)(x;Naf=uFJ#siFC-(!3$|e&*5?eG8RN$<
z3<>C{VH&x~GyM7Cn&#i!i9OGmp6zkJmu)imvu3=sRrJ5<0h+jqB2e+vCv1!b*&)B|
zEZ}9n3|4~uAghs*Bb5m035b!2*tBHu`xf*2LL8Ma(B<17I7ei&igIz|RL7j#kCAw{
zr^X1>Oya^pENbtiu{!-nWWc~An{P`Xds5w2`ycfyjm2*H9d0~r$%(aOYk&20e2{rZ
zo-WAunTQO2)?KIWZ(OzB2WV}L9Y4|}ey+f3kkC;DLq3sr4RYceFrUR=F-I2Eu{V~;
zK(MD>L$Oj=8B9bH5X1T*jV`c&O?wlQ$U$PV0Cpt@EZyz`#qJ6IdpVHUt9K+N*RFQo
z;UM;1KvMFu9to^QvG&748wn*ST#C)F3@iro>k$^l&KFm<90V{uXnQv0hvM618XjH{
zt@)x_!E}H;est0zu<Yg5{N9lJVEZddGxouW)+qih0@q&4o+|D!p70=lsZ;i;e&+tQ
zJna~Nszx2LQ#o?#B}oIe7l#?tYS~4?e0f;UiOjkWSbRLAeOxzxRETqCujq3!Mcc_$
zoN0@oeBhBch$L0OK|b=lAn&&sM1)KtcFf3td|GewE<-x8&N%!lQfxGc)@hiRgnyI1
zG%9)n`3w}d>6J2}V!1C4R4;B5_+R--7;O56S1GP;(-zszEmNjL0{uw?yoD!3`~)5<
z7;8&Ad~4<~_0mZasJMIPBk4JhTm4A0PW0FQTR3?i`~A1g^?j_%uwiHC#TpMDGYQm*
zL<K@Jqh)W@(#jLZ@R$8CIsV@Bg3r(w;bSG>&Gra1+617EB)nfFFa_dmAXNm<_Z4GE
zDOtXaaP!v}RlSY@f*n-Zu>0q!a7Rjr1>g>LyH0@4o9^D3G8GB^lZN?yWr(INY)b>1
zTw`6S8+sz8v)G4>0Xwkf>A+|S+P+V12`7C<sMr6&ZdPE95PY?F`Jqrg=aDJ}0<%39
z%2>kIK(@-}>rPvqJb7|c`p^n-hJDm~;nZj^T(<K6UR^$u+3vv>0{Z*DQwYNrlE8oh
zkk3#~WeI{ex4@dW3b$na3-rZarJq@BC@pl}F`CIt%e1E4b|a0vgoq@2t778uT$m$(
z|Lq|+VdHy*(jc)n-^KaiUh%wVyiO0N9mrfHLheS5bUZ-IC<mSLHzB9x_#g@e6RcCN
zIxm3UyfmlQ7?Jw5IkXdZTL5l=Y%U#j$8|YNi}Qqy^rE4za-$O!5S6y`B6$;uijPZe
z;bzRpS4JXdZPt|=v(;Sms)_GeH+J>`1N+P<wp7sv`Wy4~;-Xialzh1~ke~Wu5dVv!
z?>;=Q!T^X$?U9yhh+y9jw}!RiqX)1x_z?A8^F19p2oY8>rB8p4HFn~O6H<xPc*K*X
zlOY2D)!=L3IWp6QI}F3CzD)mE!8AZd);!#L;3dr^0Uo}=(I~xDA_#Eh_)x#k4!0s<
zY91RMV`iNcx#;nGg;Zw{F@qAX0wDQC(;%^FqB2E*YHjcJ$(z0chpi*vh3<L?5WVXN
z>#4rlDMyE&FN}1Uj6ivBO2;7FlAM5lw;iQW?+l3tLXBMf<KX~=o|(`0sQvi1^FdTY
ztT~q%jc)Pox^BXAx@A~2Ez)q0hFf1WL5Am1hVk}nTV=4^UE?l*k!Dq$$po#-(hHY0
zSucr*|FNpDus3@n?OgX!zS_P_farf@gA4k!?|l|BSBNpCBSbQ;1@)pv#Ih@dh%~M8
z?H97*J{NY1%xqcKWx)FO0a{1+fD>dF35tZdR!oSTq%#_D4EtTbkc(&wUYEl-c^2~L
z*!qLhlldQk(eRtDCU$QFFt9s#^vq0Nn$ICd5niC9%TstjRB2DgI=7H?khu)|Eenh5
z){QBR{r%gs5cda4j)?K5zq!a?&lTf}r`3B-hO<b$+~&6@cB?kg))x59I<0nNXMM2a
zL&^Ci#N0;w`5pPB3*Wsnc+IhEgDC<{vyjm$?oRzCJ^3=`-PT4zb<K{6-sIg8wlr%}
zQUHmj0!uHXL;L@V&mHv!G`4k*AI3hVM~1G<+egB;oo226z=J_7PwK@lp;I#6op76F
zcjrn<NEEt=8!$?_g2-J+=iW^udEW}{oL%4Cyw@B-^jb-FlUBBym2g#)TrWh^U=vMZ
zg44ZyS(5r&8LL7Qp@@5YzyV$|l0JpIWXh@|c_=In=y+2kFQlbxxRq@(a*^50J^bJK
zkT(EBu|LG}Ct5>Lyuit%oHG56swQdkmav<(Ss5g6;fDpSWk|(#QV&2#czR%|zt!QI
z1D7~o!^D+O=<~jcT<v!S&%Cy>hSJ%TGiE;r{`<p_!fa@CSl6>0W0C2b70_mdI_QLP
zB58?fUbJXO1)jJEM=G_UF9s)6U-_wIzYQZ=ja~QV9zyqa=+ny`0TEPU9qg>?^_3>h
zHqa6q;`<;}c<KTHWT925>D@h@ArT~PBI8k?qYTq+*)9jscMvK>(c7RJd+Ujf&^dr}
zbSCll05<#=IhhhL7~i-~$s|gULYr4s-w_&g^SQUiJlbbc^GCuK(&4Vc4T^M^Hi1Ma
zCJ&|mqFFcQP<41*p_#SXu=!S|Q;QywYyw7Qx_uaW5M~phQ*lfLYows>&)>Qwpuv5m
z9a74tqF`UzarlA+LDwX<8T)CQON*1_b&QFxn;>Bw$6Xh5jDN+Cc67F({xE6}H5HOk
z^((TuUXRZ2t0F`6wF@%1P84ohQkG2bC4BQH0|*Joti9v0@CTUDYHH^}9QmMJdFoDa
zE6#v)>+fWZveHUP$Q};kP<;;jRMLC)P5s#W9FNxj(OlQUs=QKcZhDwuc!5VdO#w!&
zu75+lRLFo8l4dGdR2WWWfR)PoZGYI%Ct7jq#%m{~><O7L{Le57Hew*S<)2_z*mir{
z5ie5ywIw_WHLEB+J(CeOh`<|uML(T4w~=_KvspPp(Nn5{v478d?rW<kc56bSsS1+q
zyC)|1X6qzsHVnSGJn&Z(>jNMe5zb!jH&Rw!V7elI>h>Ev)e+VIUtnF@<}jXxj8{$R
zW1K7;Tfd;==@!<tJ&V-zo4MC;Y^xUuAv(~w@a@nC>sPG%Hd&I1a|1NQL%|s>&)|&W
zL6byOk+30J*yufy3loZ;40of{Ni+QRQVq7kgJhgG*0t8CA1{&VtH$~gVNTMb!v>-A
ztfq1=s`B2hr*3kt*K@1*Ht!YD9r145r7ou$SECEcCO74Yt$Wi^!$!A%zt6hT6?XWj
zO#XkRY)SaVnVnClBreQ}$pvMa?00A(e9>+v;EtYa3m=o2gU48qac1McQnIjmDRI7P
zVZepzua`?Zh!dYb3s@78bt*TJUPIE6F%C48y!=2I3tAyPj<uJ_y}xZW%EJrbsM!G+
zvof<j{a#6!nd=$4EBTHE9}y<Gw|X>;q>fL4>_X=a6+4S~@sGAi=Oj+RP(R-fym{aV
zyuR$%+J{d`UIQ5sYUK#*h@@pyHUD#pQk?wsmg-D(KPnA|ViFk_snVu*p{h_yZ!z;^
z5O?`|ZSPLJLCR-CSH_#7JwGx%AF|n8t~3jK`_TumG-^YzF=4!@o7~pgaoB3nFJ8Sa
zyR8F4*VHksp|PNzGRB!T-re~r(%CQtkf;yS=pGz!gqT2(-0o;mU$2LH`~Q;QkZT_A
zDh=U(U>fSdb_@O~`>jN(UU>x^F6aREeS67&bmDZHv9c#1JVFrn;xMW&UKz$IHGYrp
zjT%R++QINTzu8&wB_A>)6=Bgb-uKU1;KM8bm|!6!>c*L&ENJAMN`ILfMYK#ZR=afV
zpw6azUT4mV0r6M-#LVZr27$K_&jTcXa|bqtAW5tve<|Yl`*@@*4lG*dXSp)2Em%V5
zDoL^`aR#S4Xr*ZS2=EY(Yj~T)9!jh1W2Qpt^)&Rt)-kxy?-mvaU4vbAQ_$$Z<q*7@
zGE@>_Day`EO%M$dIpe2!GS>+g?q@%U<IW*RWWZ`3ugttqBy8@u8RR$Y7e8;_xE4*d
zt^f3YnGqd{Q%<-d6oeA@le|L0;&4CNTE)*5#KKZB{q9XJd24R2*$y*rehJ$a_o_@(
zALS64o@4?vZhY~oDmgl#75KkOWy*;L#!WgITwFyKzBGcGDn|0)=oMdOzDrHsO&5lw
z)m?W=?2%MwNO%DZ(c_H%1vdKXt5)!!%RLtk&#k+)w305LHbzA6K<3pJ^fd+`i%EsW
zwA$`1k_imYwn>ib^@?0R(QIBZom_45mp#)usM8FeB<R<>tCMuLBY(5k389PpxrUN=
zc{DR<ytmN#=jhU&eD;kGEWJk=cK9Gbzi9dm)$i+CowHDE%OV+(MAWEnjY;Jg#?8=+
zqV7D#9h=^Fva<AWf3U5QTeS^%(4Wj}kfmbu)mO~x60GXG%C!Ru{YpdNEV#sh)FL3}
z)ZEM{4~NP)(>94;O<+V-M%AQNNTL!s1P5y8n}^}#_{LiZfc%`jb(q9s5t1CVz|}?1
z65P6q7sDRx5=L$teKZSwNDqSK`9@n9S4Vm>2r9u&b*WwB)K421XmhHwY)mIygIC9p
z=;p|7>>u*FM!%nJ7q%HJ0Z#zadE)9ygq$H_{MWc-uE)!z#xAptkxd6MfF&8zK90yO
z^`R??$~^A@m%iOEk&p+u_bkeuK_(MV#Y1t6`C-2sqOo*Q<wRk7^~LT73pwf{XR9OL
zcf4m4PPz3(ZH`{a)WD4Y$n;eQvPmxAO&DWp`4Ev3lyN$t<EHC{S)w@n)2PT7b$Wg2
z%d*s=1MBp0BeOCyOAr*KceigsJ`TLMq}xOHS@?-=JxW(^lqs5UWN)_Mp|^#=dM}w-
zj@PnN?8<UU>vn)lXh695G12vAYwfNT{DQrQq@|ok7%P?u>pSIZFfDHh6n+Dfr&p`<
zE;IAD!_k(@H+5gpm!77trC+qKRR$4iZERu5D^nV)$GcDcca|*Bzg`qN%I(ath=KV$
zevZm*9xkl2S;`$Ov`h=5cgOB)(?%d0di-RnQ+0}}fY`Pb@3|pFh#I(|pl}gXUduft
zGAZfmx!ocvGPmP)NENMGc=3HKg`W2$OTiMWLg4pRwmszm%5cz)_uNd{2<Nmv>cuk9
z-llpxDa-=bN>19*v|$0$a~5}-w!1DlHz61>Vs!LZ-tLQPkjBc4#zTQX`ksdgJo$gm
z!^zH#z6pFWhzbQt7pei{mwnH;w5RpO<spsX8$IqiH*g@D<`H0iZjxQx@U{4w$`{yR
z%2D%~?Y=EUy?7z{>JvhV1c$$W{C#riola);VGl4UJ~d+`^`B_wTjxZV*BF$R#!_q>
zdqEApgG_QF5(iD&u@g3G@S_D=*d9Ccb5q4MW7YN3YH(|P`?ejMTu@NCcXV{AXSDfy
zqo3DyO4q)B*MH5#WZc~V-S*;}FZ|@6rj&l(N@9?Z<2N$y65=>=Jl!>Ia(l?%3D9{?
z`X3ca4V~i8SKsQon(1@`GX}(+7eX|Z#iCBju2=B;JUs6nIHa<>i`TGh+j{C7OIJXw
ziqezuCXjWakUQS%a~6IbV!#FCqek42y}^nYfp)ALR{8WZYfVWLgw7U7$ss~(YbxiX
zKEsrdwlOqMy|^#Vhf8lva4fv?tP(b!+HYK;hsC&!EV5iT@qhjkL>tl6_+(sd*eFu{
zjY8KzMMn;gsL`-Ln0EQGUmS*33x&SC_JxgNhq2ghW5RWWz|&3Z*Pm++<dWS&y@xXU
zpmXW(8L`0R@@?1eFK69YR=G4?pL;Oroa)A^)H$L2hazIIVjk))kMrG~{c9wzZPv$X
zP$(1-DJOndL=N%ppxYu@Tyq`3{gpeLDSt<AT9Gv1iQfN->28^%e9U?<1tFCNTtJ_t
zD9lCoXZA$16k^+TR#~Yq*JAGtJiloVS>DaZWsV9O*S3BH86tx#`fK0A-`4``aoT)U
zyeoFhfD^W^DEd#RQhNYW`j~{hp}7Nf6<hnM%5s1+Mmyw=BU#gs7<RsLA?DDROIzTk
z-jwq!u<~y!Qa$?TH|u`>$whVO-=cai-`6uaHv;Kja7CtZi8)x%Hbkv$R3VOb<iYMa
zy<da;&DnH@8K$xaR}vcbYgCMCd4wry-Q2uq&o3+(fH5$F;_tNbD9=TZ3!SLAjj6AO
z^J+~b1sPaRZ1EMmYxJPoJ{wG>G~oxa8?+-#qQY-(lr?QcNYyoy#?8E<%7imTRP-67
zFPQiG4`>Zwm&#xshh`%3AL*nDgLsU%_E8FIU>MOiX-MGGOuqVzaI8mYgN}LjV6_mW
zu%>(C?^DOmv-#@}^*-l$9_r5(Jv^1>@cZBehi~m{nA-Q;V*Aa<`JqPB@4lN-y(_XL
zJitp=)3Y9njymPOtL~HAcg#=7>bk~G-v{6GPnfJ&OKHE_sDGw6Q7Yh7yU}98&1&mO
zX>h(uo{T%)GDL6dB5x!X!3wi~nw;Zf74M{O_7LE>Ra|&5qY@R<m0{8Jr}5n@*X937
z7vO3rv<^yX)D3dS;3)q-BML9K_10AH<0p}e!+yhUjV%IXzOIr#bLwuipm{SZNi>7U
z<IExEQ{pS1fS3nK-2Lo8Hu}JEC~Kq#^A0Eld!zU(16N{z<H$$rSJddq$wi;zOaET5
z2Sb+as6~SQ@i3YkEC&vVlWw*I?mj$BQn*?L)K$ruK@NBcoyoqB^5X|*U58eL$D4fI
z&=m^=yn9?MWwQdVYRsp_UwXg)h~kzPjamK%^3O`j786_7`#$d$EFVc0L=M&Emtu%q
zD{JOwG-p4KZVLlmcSfI}_9`VlP&A(P6-_W;8xH<5*OLMqRIr3McA!;E01}QcJSTa4
z{41;(Qc{v6zz1y&vaacLOILK2Ht>h|T#ZcD5`P$8&*;ZplU6#s_Lh`G>t^h`rFZ)2
zo7o|1$O(dG8W(Dh{=<Sf7G!z0z5EnlSTeZZCu?+hq{GscQL)$IhuhP=I-=YqKvJtY
ztmm>`wcYy=v*Jt1e#KK}jSRQGOiP^;e)HIxgL>cTQxP(wj4ST#5M~k0Gb*zEvsQ-r
z{fX?Lw$Z*|QPv=XtASr;e~BEO;lGu8xI<oM3uU5~UjxPN6AL>9Q*=TO6XDbwZ+FKs
ztS7u-|1Q;~*6);R4J5$o=KQTXvzK4&G>LKw(09><!YW{76D1u(H~P#Qq5w5t3A2(y
z_C^o<h|hr%H~;Nuzq6W#b>F^y@|CDp^WV|RMQ&_Ox{tDS&|YJ0(!ZBY=_O;mF-~&&
zsoxlJwt{ps7rtamlcYvf$Q~oQF)l+zdR+rauW)NwNbB>gt2xi7@5Wv7>+P2cBHy(+
zff_ykx&@g(QW1ZV+m&(Kd6AN@Qv<yjtONY^erCsAN@eEh;2ZWK-XNUjo(gA7OyYn6
zox#w~5^JOLkb{u%+dF%YL8{M1Vx1p8eE7o#OY8_{rQS?`XWJ5PftzK96NYq>gB{Ki
zWjwPF=0aUusR<1}6r-MjF}IxR7=NeMtQ<SXmu<!GO<X;#nbP&1hUAN0t7uvwd3YT)
zexU{Z77Xs5XbH)-8w<lPuVDd2q%CC6p``aBS$8qlJrw*{<wA;Do~Db$`SYW_2dFw1
zX{sR7(kI>oC+eBumIK65k!-YH>PAFHhL9#^MGLLu-^9;ENmpUGMB*M$9D0onkT@Zm
zA5r+rW9KRFALCt=!GhA^s5g})tUwzPDbR$><dbkd91aNyQCC(%3rmKaRfnCX2?*>*
z!&8noWj!073SzzYF0I)2A5RC*?)mrDUXzKr<5&@G*ZFF*s_`#bPOMis9V8;c*Dmac
zBAoY!#p%1KzDy(Z$^WAy?($YY97gr|XH0b}>}NPpIQK>6D%Ib+hd*UDU03nrfS+Tn
z_lGyfJyQ}Zd}#xd6a_*vOd_2B?);l@M-sTVk(n?cytkDGEE7h(dGjMD2%Mh8aRR)!
zOIvtYm>o$E-yka^BO`c0d-W$+Bfr+#&;2L$wxr4CJNb@5@de*$m|L&r@N~MQZsa-W
zm(}3?`j?pWfiWwEx0|RnP46zSMXmhbtJ=AR42{#>^IIM0<BbwKN`cn;QjYP$ujV({
z#Qx;Dxcqv#zuI<?J(Dh|<S|u228wza1Y}?^-?WA5n@!udeK2j{?sjHzhHWY!UgOo3
zl}WqZchkB}#ulDgxn_emW)lnqJz-}=FR+x~3ErWrmvT|Z&TjUJ7Z<}p6z-qC?r)np
z1avR}5`&>n!WbDeb4-4)Lj%z=#Kg7C!$FOsYw|o^H8$+7qzkGy`~ElXBY*l<u3XuB
zf2W=|V4X4&YTMr4E?xAmpL2U_M6w29nQI?&M0FX~@JylY0L`XN6~BkjXA4x10#6>9
zo%;U$?EVE(>PV=k&PjN(vPNfF%Xn~2=f<!2k`s;NutaNo)vSy``r!H4i%R>4iw{JW
zF~~nH%etcBnc}rHEjRP4iHy*_XeLZ5Pi(DZ+4rwc{GOV6M#x9Z5;J}4)!%=O5V-C8
z$#vYKV#Kd<{=9`#Lc;yJ;}xhDj<!)K(b3Zf#K%kaZ`r(=1s&AU_RzTAqe!bK{p?tt
z+x&Jtp@6Tyw6)9nXpad$jAJ*=Hx4ow&$_ZnTlt%rgvaWWEI7H}NlMl-L_wsnSoGzk
z)}+c_F9e4r=vTI`-bNAf^KxzC%vRD&=QVBfp{aKH+VNrdGh5IT8VX-mZ!a4m&XE7t
z@1-awC+CYReBhf`Y;65rYN?;GLBnt|-H78*>6Xo2PbnB?a{R^n(9=^vP^acOmRc0e
zedU+O9)263c*X%r&05P_JIZpw5?brInT-8Rah6*P3kwY}k?00w#4iBvZrFWHX7{mc
zuLYmRebUCpblCs&P}Err!Eg>Vg*M~{)B;4XOiERS-NM%WjD3+n4~pj0O$X5E_>+5;
zOyniA+aT8Or)*X`b#C>O*gwRL3x|oSdsGhkcj05CbzM#pK%3?HggkuwXnJL7Ou`Y3
zb)ouwfyDV(??HK0{@c_<vFYB4)cE?Y3-Uy`;1<Ny=3F$$!4ce|Uv|&Hwk%d{{soD%
zTRx2&MmcfRd8hVF&O9I6To*BSH}gqKsQ-9k&U_26rt|CvpJ^5cFMI5jDKQfjGGs+F
z<=SQ=!=tjp=C0sUB7vV2>G{FaDu+_a5b$-;9R5+OGdPy#4jVc^_i8!=`H@xrqn$hn
zGm<;OV$8DQbXRNG0Az_V)u}T@a^-@7T;=ZSFv*xIm-9>8|CkMk*_(dkmQ_%)8FZtg
zxdTkXt>xamgK_VJ96tHiW6AeGaAVULNa=L>+T<j8)$+KpU+D>Fwv+qz36^=fK26S8
zS-@TR>C@CtVKs^RW2t|xqq5n;z+jrg^VbLh%DJN3N6&Si>t11H1dF>rnx>(`KK5A2
zpK%$pxc<1t#>R3EQ#{Xpw8mZ(6b%Rte*0;U+X*r>5n;yaOZg^v)LXW1XTt=v`X!gz
zdFs@Vw*n=Yy?oMPW`v8R>&35E8yYfsrJGyX40|+4L1}lZ_&;PgCjk_eY^PCR$>ALT
z+|bZaCG}sU@Am?McY4|?GoE~82a#0tv7}ZGRuZHlJ(r`B4dK3l;<661IwK_TaQsYY
zvV+p@0GjK~lqXPQHTE1vULanmME$nTA-3>r)o1SVJ^a-!HwN>^KaLg~{CHX;-R#~!
ze*!45587{rpr_DMl;Y-OV`IC|QMqc0$*Qy9HnC-1nTV{|iScn4h)GG0h*&wnqbre#
z6F>@m$T2sRsohYa*dT#DTaRWe5_Xwee_Su%#s<N13fTo*xXO#>SB|)crbllu)i|eT
zazRdEv@<ZDU&}$E`CwlHn~=?ayIx}KhPyGD@=MGNSVmLdEXyT3iG&iZ8{u7r96Tsi
z8rflqCGPpZQWw@FesMHtc_=?_@%YHt%yiE)%0*Q;@FGC8IGiKCed+o0!(J#A0Gve3
z-`6xrj!k~bdHC?xs!x>Q5NfO4P%CkJilLAUcaB}rg^&IWvx(#+rM^Ywth6HVW%WrG
zyq~NAw<WY^2bIPCL`W6?dryF_P2i2llBj<5XlE>cYe|Vr_BKnn)XW~}w}2P(5u@EB
z<o%-oTD&U}%6M|PRMq!-_{{dG#<v*ja9;?<6xr;z7DU`4DJf~jNA&qZ4}=>;!)|W3
zH=Y*IOsbrFoueJO$T?n7DC+xnbY*pt7E4e%?Pg0$OXml~WJRWd>{lUNfo{*ay3<&(
zmzs~hfx2VPsgxK9STC}1aLAH@DrC*2SayUo;2IEmChNyO;LeYbA!aYp>A*m`ojVU;
zz$+oM`-eE#%#X-4FI-__VghEebw6P90#+U#9(#b?k$@*0_S#&&95yyziL0l6NcH2#
z3dhhrBl5c4Q}!8w{?rxRQa{ZC8c*GPQ=+Y`^Ze<R`cm6hpCTo12P-kq-5?_YM(Ws(
zeXqPqLdZ4UwXvhoFZiJd)!P}VzSCpyjm1ytQ>XgH>lF1UR_Xx>2g+!Y)8sBcnsVP$
zJu#7{@?mCDjlP{%=TT4T)d*V3`;zBeL8R>`CRO5y6Xqoo2_b=!!3D-9A`-mw<HayL
zRaJkLip1RkyF;`7&~}ap?$SpPF^Twe!q<|vJTlUfuAIM@fPO@Pm~)I`W&#F|Fx<Hu
z-?!`_ISZQU7O!d(bc34y_x?|i5bg-nYret3!9QkVq^v-#?NnA)&i0Ij729^h`g88z
z>)O|7WAjfqKLH(v2DYlY%?K}@)jd)5@U?`-yZi}yxrfMH_^ekbnp)V*$R@k`$IiY)
zknvDC!-Q=a&k5z09A`BX+y1b&Edhc1+V(np|2Zr*DVhKV;1RM2A)~0ez`TIyz@FIX
zkm`lb5y%P1w0BZ6$T>OXe2Z3irS=E+1VPt{$iF=l$3ygW<etC;Q75V!8nJQU?B00O
zU^0{Z`#Q^!%EB8=jpH^`_Sl4M2uChL+?ks(f$+S&>B#vMe8OnnyECOCRGf!Yw+BM(
zB!N2^q@Yl%<9wxjbuyN%vZB$%CZp(8aOO+q%{~mhpVWIJ4Zr-wGPr#5EJ(AFZ|@HE
z!V;>1tR?$!iT7HoR8K2sTMvXi_KOn~pmcf`B^=*(fTzi2LRM?OLdS0tmQtCs(Ua+w
zlt)=irXWkWS9NuFU$H)~`o;&RZ8^T&=mqOlGd%3<(!RdF!8fSuGHPcj26`w5Cl&Ld
z?g+1m5?Cub@%1PlCjNvkVCEj0C_f;o9cdir7AnZ}n*V2e8(?8(F`vige9)l+aRcLD
zGlx+LEz|<IU^zHA&@}A`nvR~1MGS@Lr$mi+T6Iy&T1^S{TcW(0>U-bk3CV@uVCni1
zLA4vOpKLm%d11MLF5tIwbSUXF=akF-eWz${_HVi~pUKpvE5q3*Y_6t(I6(E}wQES~
z{zfH?Ho1J|%9E)dCb+%!BaqlP`1rT`GPt|7z+^^^9!0??#E`nfIlXuRsvlbUh5Qt+
z$)a&|a15dQDHH{j+Zu;1s;+*}7+znGBR)3u>Xq2oSYpp?f`yI*K$G!Zx;07*v0@sP
z@rm)HpW2?41n924FQO{qRW%?dqx4LpZ^S#%wS$Kvwtlqg$ab=iJxo9^XY5R;UVn}N
z<9NhbKAX%m_aGfN3oY`g{M%YU5o>lFU(*>9;`-L#Izg|*PF!QFug!;_zqhY7o4dM$
z!nb9|j;On>r0sC>MQ?WyLG(lyF@C4<g0*#uN@Z-a7p;}_U}wzSE6v#RY~c$r-zrH0
z9Z4Y0p<R1X1?6ETa_>$j&c{xPpWc4a6tkSUi~hGkkC=i`CX?+mT|~P-@u1eKcMnH*
zG(2|$B3*qs|ARh18Z<CCre+aEP2!0)ks@>b;R3_U)zya&b!#uPa+l5((kp(F{HzHh
zR{5YnZBq%>QIIFu%oQJNx~cxWRtpr-4S$~`mZxif7F}Qg`x~2#SHjuf5uj-dQFPM4
zahpN^Q_|99=zHzg^T}@S+=KZ__wEHch6+Kcr(5uH0!UdwQ|s=}KJDEut`*JhzIs+3
zUv5^4MoV>|YFeF_mp2X)Y|vYCyMU>emZ`}`@GtU3^EcGu*sH-ULkhq#j=9)n(2&1I
z9QV5}+~)%q>87IRbVL*L67rOt^XHDQFdRJ`ke}{3a$aqp$#&jFt*7%tF(N0fJl1)l
ze53il63a?iuWOCiZ0FsU5L4KVNt>-NqJ2lQtE+1=h<@s<WdzZ$K*;zEYl#?WKbM!c
zS`#%#QS%z_DRORQa}`G1c%#E-U1jk~!MM6#+^giNpGME)1DtXrW@6IwD=0P+va9cZ
z4H8tw?l-cQ3=0c002xLigc#}8ww&dtulU+jyjCb48AJ5^CjO*%owH4m#l7|n&DBuY
z;`F+wD>~<La&vn@ML&adZopKbe69l@Z8E9=m7yHk4n|Q0a^T{}N*1t>ACOWVoV71;
zP`@@xeHsMq#`RTd!5~?s23*YXK*uXij5faIsne52i64PbFo7X5)0pxhD>A$CLYs8n
zue|fAGThgtL3;b((9>*F0*Ye(@7~_&wU)^{or#BYu|0&(W%%5FXHVUmr@FSN^h{kf
zw03=;i{6}^)rWO5zL!iEef~^r3uIVt@TW2o{7;M*Hg5)?Jltik3)Ud&lXk6Uj++~0
zzcW5UYyAAib;sxr2MVm~srTL@pO4|v{v_t85%N&0RZ~m3IPv9B`H;z{bL~m8V4rGJ
z>p|)t0K&u99Kd;w{~>Pp#FY{wDLchPWo2a@T(ca|RZ2A+O+bDSf`b_tEY*MZ{$Q~@
z#>r_Yd81_hv90|1N13MIu?>1+#~2Jw^;vPe6fEFaDQU5h`bA@I*1a`z^uu^WLTl64
ztp}rd?ZLw@>Fn#Y#k{<{8e*LWFVW(#EAgy<M$<3&p|Y~|P%%#t{i_ssUF7F^hk9HY
z56OSIbKL$mWmlwt$gROzSx|NR$z+Y@25eOWz}{KRvN(f}<|v)|$;QemG-b`k&Mxe*
zPU3lQclUmL|0oh<Z+TYW#d!kg=N?}mN*6%Y^h0ai=GSf7^qhFMQ3e<SClO4TuPq+D
zI)^HHO8O&O)e{ae<n`jGlMln8<5vp7p=?)t(GwaB#T&ghbUu<agK{8?)eA411syO!
zkOQtA#kuoq|L}!PFN;?xi(3Qy_r=o&Cp!qE0>9OKxfln1lI)4)V?KjBb#x(8I+8WW
zE7~dj&_cmYQ^htqwlP_balP^*W0O`DrhRXfUTKmJ8*^LbP&0pP(YUk?fj0a0NlHpd
znYZV0o}V}dahm;)`#TK~oFY93-S=G)a)m)@M3Rbp#PAJ9PG232jo7*Fa-#6z^l4qB
zMA-Mevh7JKW=fU^N-K1yITVs>*IbK;LRN*fdL-mzNnBl2L`1}MI-qX2BVT{*Qaki1
z4yp{`6{;`oR~8w&M+ShgU$H(t9JkHC>m=29tFm^l)7wm~>+V-BN7gh>jjPSeja!v6
zM{ih{#C#Bi<xH2l#(>Gm-}Psj6E$}n;PRTx>-fA9AFk>99=>Et^H}}4_I90iFO`7q
zNYkD*FH#3q<tI{hMep!N9OF4`!N;36^2(aWk#WIf0-UfjeLXMz?u#^~rKL}qR(MCo
z&J?5N2mmv&yCc{M$xQ?~L!0sWnmDC(h^`peFB>|b9Ahpe^Q*fA%mNXcs6(=^NZcc)
z>F5A}JiL=z=g5t9%hed3oX#sPqQ-p_d?Mib$p)yp%Sb-k$&){4#M&NeF;w76%F<Uc
zEscxu<w7p9Bvf<0KN^sMW*jt0I%`UT#OiyW*);Plqc#7~T~|*#c#2`qp2Ij9l1quv
zsWZpOJ|tE{QqR~d!K(Ea*MZ)tKPOl@?&nTKsm7c=8R9U=F*ZKVSM6eE_EsTS=o}e!
z72&Mm551hTbOIDzMRSc9tx3Wm!otI!Op!*NzP>j9sHSCQO^pha0mxC_M}RNq;bR13
zfe#O6C0{o>iktS?B_36qdQ~fTQB=8m5h9|R8*;DZOL1{IY!Zeb@dVbdla)`6ZdMzP
zck#~qU6^U0p5J_4%=L8@N7hU4!z-gKpFecn`_0;1&2jC$R!l~k!*fgc_O;F6z%xDJ
z>kcPbo{y%UdCAMdLK!)u<Z4M@mHEi?&xD6l`uOWWPX;-;KN{`YDcWfv8LXqncn-L<
zhpd6s#|Op(B3SJ~^j-CrF2!aPA|v5|TO4lg9r4OqKl)X{JZyEVA}TF%wUI`YL`){R
zY}vA<2Q~L|NWe;A(G6a--9YK<8yeyyC^y=}{tnJKnOAJg7w*4`y=*;ri6_od@+)~s
z_{n&QS1E@AYUIMNpBPeJd;1%T#+_#-#>T1~SF3J*J?XTxFf*5TflQAYJhNKei1qMc
zg^s(+FZr+0fW^?v)4uW%PBrSjTV))%ka;OSngLGM&fa~pK6<(}Zh{Ug>-%a$l%AfU
z8qRP(JxN0)VNsu~bPmm_KdnpC6$6tUqe5KkWn-cAe)hSz{O*9DwVnVr`_2`r4VGz9
z2`h1OA4ZG)9Oj?K9A}Ll1XGhpSt5uf@Zs)({f7?8?aW@p{H_RKiqZsVDJem-7rpmI
z?~fnX!|Ow|^i}tQ*-?cLVkbL2g>tuc=`O>uYs~Pg_>yBrM<=-IkGhS3>XCrB>~rt}
zhC3Uw9r`R)r-DJ4Z^yK3O%R96`4z64s=N<z-zCIfR3|^kNxm3xxZS?_f_UuGqYd-s
z`M<<(Dz=+yDmmqfyy9l=sekSLuq}RwgwH3GzKiQ^FJE)U@t$qt{(Gz3hQ{qWspx-S
zyB>St$XVd#QrutI=!Y%a>#sFA&c$sQy`V|mn>O<M1f^9GF8s+g8DQMXAQ$sgYQ$v@
z%`I;=g5Y2x5#p(E-qC*RYFq{lrDfg5jn9bb-hHpjL6BAa!tVyxkPw1iOw@W_Ad$>5
zN@=}Iy^4sp+jCw=w56cuSpLay9XzWFt648p^Ykuc&bhUOhgP)B4ibTitii}^rMHVp
zhdQsI1Dt7FM43Ngr#uXBHe)mmUyo8y_n9rSWbb?>DuC`AAG-#A1RG70VMl(q)~&y;
zk0#WIh^okR7w}U7Vl<bOO)7P7-1wk7k3(|bE7NT|#4Ty<9Y1pG=6tPp>2OqEvygK7
zf$fHd+pO<%*Y0&X3qFk-+u_+zgSozf()}+e=M+PI)L5o6PM{NK+(Oi}Buwau0u%&&
z5eODuh6e5Igm{)q7D~wxgESbai2bg6W(j55J|7<+VY;`-b+XW>)mVKm=1&GjwdyX~
z#4QZO<-?%6Wt%URxTP|EeL|T3`cjsT!{W^B@gKi-?BK#_-`k?}j7`Wrv}X0a3v}C7
zP~3(l=mf(AScGd<Qq101JY;@Rmzbt{@M50Tcu0*#<U*j$hdH;YwLBE&qaQb+aQ4H$
zOP_!1JOig1?;Ly@kM~v0u)yaY`~n4jiOF9Gcp-<WKJBNl<f87rtB&1H{-i4<WAEVZ
zL}Jc}Q{()DmpXYft}`gIpJC|se=l-Gn(^<s)w|TF0s{0LWXVyQ`?C>ZE&E?d#gkI^
z4Kl*9E`W6?62COwG!joH|2~5}D_9l<Vk8WM^ezjq@Av^Q?wHAmS?Ne$8Y-S|jj`r=
z&C5-MMnpv{Uba@7Qt~)U*IQysuwj59nvD4H8)G)j04qeI0?%X85D_jfUU-*$>dcvr
z#<fP3I4P|>1%9mVMdkZ2;EhBM|Jus(qcwu^W-D%AjM{eati;YGnhnQPXqox>)$oAW
z03BhWbB_Q1{e8w|Ee52feDA@h<3vX!Q2+0~Dw(^{SHT5wfG?g4{iyuA{R?PZNH+^2
zh0b>S-o1&Y6-}JXpCwWIt1awzj$5M;>i)QtR$0yGSDv19wDEjtdG+;Q4o%m`Kd7u(
zKGKW8)#-QvS{1tdX@Af@sz&*bI*WX%Mv4O$-g%GZC44@BPn}*e6TeCJP*65i<E5ko
z*hsP@oFpXNs`6@6Td+YUy9g*$m8Wz4ZrstE(_>VcQ!~kjw2qM)1$b#y9<H?n!H>!G
zy9*ZVkWbwUD(V@W$dQgRFKi_Kd!6*;?jl1Q_NGyzc7t-N4A~u%3qDZ4ET@?RZxs%<
zBUrqTCTby)KG89a6gkW14kyth_hLshn7+3aPKg@%62PgU6kJ8JRe|0PxF|9@nL_yi
zP13KBW>xnzSho|GHX8O|S?$o*?{H+|As-?m?q8{Y_SW9m^FrxD`_=lp;muV~S3#Tz
znm)}>M397I*Wt-v{aL!yfQAs9@SS#E0kqG4FmgUlkAATvXes1yZcd?%Rin$#GlkX%
z(#C<yUYNSh%f~n<JO)PNdH&L3&_D&N&AXQHGqm;y^t8F=v3@Y58_~`C5IEgKm`o+F
zR6LhGXNHYjx*i^wY&YcLN&dL543MD#BGgFxew_?rxZc>II~6}y{EDD1F28hDn7;ab
z`!#f(e;Eb8GhC%a{~z3vQ2w_rf9nNgzJ<F}C`F`G`~LjW`OLFQe=d$O$;v44*9RPm
zom<%JZavrAH+)ErdufukY^B>f!a~5_6ixH4vCFEqZAYToNfHz-3x)fW>E1&KD4bM$
z5W(8lLU~&hS+usmlc?12)OrDKKPL?h*OAD%eln4Cq%CNpG==XpV{IS?+&sBRSN`*}
z_Fc(pmt`;;&mZv)aWp*KS}6zHeqYjl%M<t80}|)9>0}Tq!ruG9<|-{o#$1L^Ih~9e
zG@KPBv+Ch#lLL<PMH9*>bv?Tut4Ydu^@0O1zuI@&8iZt9=xZaX-lKvSp#FQ%5w7Q$
z`e6AVomJL3|LAYhQgB^ORfLX*or6%H*lXOs%@MEOzdsU`va;`aVBkUcGg8p6j;1YG
z8n>CZm8m!Cucf$6TszBtL0U{#EhH%EbeFH0>r<zehviwbO&JMwtjca)-&)*daP(TA
z^$;Gi`sq1!>EXb+nLgDRXP^?9&&wkSMb&`Dq@%W>JMFoz?><zXd8mEQp;x>*F^xs=
z)-W+u8pnvONr%m~YccKFP8i)2uCin6*6_Q_vop4Hs#^yI7=d+}`|7qocCl_@3CO?+
z>pc|-r}BRBg)4K>^BHCTwdv16@uYITcgp^R;Y8Bo4<r4nA7;@Vs3_U8jW5a3X8p#=
zo0C=`Se|5@mXX2nvPX0k<$X}vkJXW8*EZQNMw{R0@@*0fbY=4N*>q*``47fVY===K
z=24gtsZovmUihW;2^(GH_q?vlCi~X#g;U>F(bCeA+joz!b;-cuo4D(-V^l}xJ2VXp
zB62WJm`qsM-KGP#@IlN=bIX}&cl6~7YVx<GXa>!RzLE6gqh4Fu|DBJ4o=PaYwpKOw
z$01>1t$bUxFG6*1c-16o8yYlV$&Zw{y+Zh~&kXn>{Imvvyd^F<cC5S{u05aY@6!P)
zWbqOiFEO7{ubuykiUKp7bM{qOz>4t!yYqyLmsa@M8E*xsgaTC&R*>hq2wl8Cxx-Nl
z`i?XpK_^x}5%gRMhWSR~@Jn9^Iy>{eRx}wp2z8u1M}Ki1IdT>Umh?$>@+oAxD_8Og
za9Fjzb@HgGi06`&RE>ec)E;1gP-0JyfiW^M^=!`#sTemfTj(b4L!LKfMm5?_kG>}L
z<%YmC&C6R=%-R>*ahJ|VJmF&r%jzlrVLCC*Lc&-W4~k<PIU!ShILNig%FV5W_P;2k
zOX2*RL;IyYy+H(yJ)N0<`(}hK?zK1Z4-h?uP@O%}r8;$hXGWkl7>5X;92dXm^fP~d
zR%9Fb#KasV@?1On%v%pHr(R71EO>p5$sQBSto;1^aQCj-8*`53CDHLE8s(cxB5aC1
zr}=MA$X>ri^h})&I`h!FwW?-*mmtMJj)0~6TQRyTDT#goU6JMYHjXPz+^9~FI~ndw
z<)$T}9$NzztM(F0oWvsz&=wAUh8Q?#okaU6zMVkQ!F;Tzp3t~C3q+IoL44?Ih~5vk
z&6_heSH{rg*Di^pzcFviQWIO8?aqF1H^N!Z+_wb%@S-!aF$yA9SRES79fe|^<f+XG
z%b2HSF@QH={2A50^%+nDcMtNSC~lq*<ew$-b_DC^Cf%|#_4(o{`Cv4CS2r@q<D?`l
zbklKiTz<Z8{kb=XY;X3IY+g7r46kkaV4vFTAZ&n$ViXn*<QE-GJx9eo_~wpS?Mr!R
z0j5M^9DA`jGEK!zo=C6O34otDZj7+=Zt<E~^CP3NBkTvWy;M1ZwS#>eDg&$Lzd4?R
z!xpzp#V|Hg{iP^lDT$G7SA(iv!g+6HUiYZy`TDjv`HtA29yzBE-&(}2xz)3zExtQ%
z`+EAe@K)6y`5qqY{s0E_d{y2Gkbsqywf|`5FSd$c;9_OS3AXVlM#u9chs?GogAGcc
zGw2>aEl6rwO2NVecsCMcg43r5n$@E&`c^>yw=gntLE!9-aFB=bTKO)yB&Rm`HiQvg
z)QMkS+1uNdm@1abyzu@t-X7NG>)+KrQ@S3?nSxZSVmgYB(A2nlbX-Y)ox9=ZIH}9y
z@604`#O35(3@|%!U9;UO$8*-<oHd=BW?V_^p`Nz_5-;_vNGz#djs<ROJ)tvms#N~q
zN`=0y$OtP6FIrt7rW#m{+^zk<wR}OG558wp*|bN98QFe*$jjEj+)azOdnuYT-qt`<
z5HdOR<63#&V1X0N4Us4X3F1tXN#&OO@bTjs21iw)lH9z8^C$NW7QA+dnUNlJwuYB_
z^7g;O#3~sjiY!`2YnC0U59~~@x%b}G-g(gs(RIK^v^r*F<X1n7Inwj{x0T+Z6X!oN
z0&4O@wt2rRjV(~9?ap)~dZUr2rKJat>|TDxOAqDceALi5h_We`-S>ztURZ7aG7a=y
zP)c`+H(lypPEZ%4@fx=e#C^AtlY7K{>}{bShNF`+4kc$q$I9--80UT1;~7_kJbI7w
zR}$tLGv8!zxY)!POGp$ruWd$s{x<sZ$6&tLGaCnv8u|r$DW=%Z1ALP`)g%4l`@5Ih
zzA;?HVFL1Gzq06*KT%eZDD_`@F<CCIfY!gXv;-MfuCk%Eh0uY>k&h$a)#tc2U>Th}
zCrz>WUq>srmiuD24Y7`{w4#&Vc{@)4%O(U$Rg<v&cm#=m1^gI2v^I0MjhFVT7F%``
z5gfwnSn^-gvgf?sMnmo0=hA$Lx4|r*JLK8Frh*w6c{+i`D``uPPRaE@(M$Z=#uCu&
z>p3lGI<da#=G-Hvnl~S?+CQG8Tm=^;1L7fZXQCJ5iK{7z1QNg+k3`!vN7-r-y~!>%
zEE!nVjh6$<B>zSIIFEX$qGBFT#(#Pp74zgfu}0)fR?7>Qtf%-xXFKGbo^qSnnDz`@
za5_Ym1taFht!oMfTtm5l+OnVYjN3S+r)a*#ffQsPahBrecPK%m9T^al)?oV3xM3?-
zs5Zlz8wZHC0}(;}X<biHrLnMnrUE_23b$kWrt!0vxYEMz#6>FxMcuu${96R)CnP*K
zQ75U_yr+u})=Evd_!z6fRt)m<%cCneO!nqBThc*kAS-Jt?icZB(@qd9qutoY8yqu7
ztAJozzLjs=O?UYZh{m4~4ZN9ggN1TfFB`v|J4!)j6XUjO$8qr+KTYo7+;C>o%TjDT
z*u6haKDP6hfaTtOdU|@K!-lHE2XW0`O8jHy^}uBYK#euzEp9L(8c0oTKa$xunP;(;
zfVBU?&(a;rXlU_M;t|(<^kM<!g{WiN9?Z7tKlSCymjUNWfVVX$0%!y5FV!wsY6rKa
zv+*<WC!n%AL(5hkqjNCe>!7ywnxz!ATc`9l+e#B!FyW(3LIxFu-XX)l`|F6tvPwuy
z{zQ19j63g;!SI`joP88eTwK{`(-a}mHP7Ku+jbRF8)9Vcb~aSQ^+Dtn9!Jl1pY5jV
z+(k|bh&$vFzT>%9Vga=w5srMT{h>lhumoN%=o~U_WsQ$&2uxtrJ&KhHE+jrofOMv-
ztPk>3b&S)k%NzXHf7u3jdo!b<&E8BG7BlrZ<^HZZsqLvw(9j#8qrCCE^JFGELL&BY
zU3&L}X(kS{%?HGm;9=FS;~oj6zMy7W3X~yDmZb(AUn%hA_3Oy->$c%A(dT5AGIZ`&
zd)z1}u|FB!+1Q3HZ`IIwB<)n2G(_7op1-u9JX#DD(b=e(YjLA09f>YV3ppldQr)vv
zP9BCPvqf=8(YWDlZF?(_@4>FBSHd>?nDLHU&x#zBh?;!Ma{tC3h8NEQO&?Y}cS$!n
zm*qZw_ab6M7SF7#|9BH>rv79-5Cwwu?(rlChwwigJOYL|J&DZnIPjq)f;Zz657lZt
z_VDlq`qId~u<#$e`0&Y-?HWnOHSE`=D}=d?c5La7UYQaa<FDWPitXU3`z|YSG(GgD
zqgZWSee+LwtsZ}b^Rqie^I6*hSe>ISe5+iUp4Tqvdv2#FSh%U4=2sot0lXu8>#M-P
z7}~?JcMgNOl%6kpL==t>4}{Pey%zWqH%74v#_d!JY5D<F?gH%%0QY;J2)4g3J*h>}
zY(ej0=@dNu-Ws<u$>%1KNNb;Lpz!VN;>A2^!h%)}oCg4E#wbbdXUOL!@O6g5IE^23
z#d&d2k#uGsVl0Exw3k$dAYSG0i>4gH-;wE;?&mLDn9~E>xrz7o6~d`NT%54v4AX@?
zkd2XnzPh1CC@GLq`S35g^|_Aa&ZF}dcz_QkOUL7*qhvGb#wOo$m(=*<+_=#8z#&u<
zr9hH9P9>5H_4<?O+cu5YE_$iq%__rP6|kMYZn*EC!jd+qocdrA9GEO>_CRzB-U*VK
z$)!CZ{1MmM&5A0X%mhz*nTfhQ)F_~{X=_L^Rv{wHD!NawnSF4dWqNGsg6>mVKVbO~
z^M(F}|39F?>Xnu$HcWM@lasUalbPsxE@>|&E)rz+R;ljs<42FS7)2DF7R`3->l@|>
zO^s#d5j@0Jk$L5_3z5w-o9@R^-s+JU5bg9mF2`y1RN$=L%LRS6=I3HgUryRv6sc!!
z358mKa+Vy6&U2Ghrw0_Z;Zz~a1ni3yJspzU->;{owe8P|S(JZvsP{WBW!8(@ayJ~&
zIba*RhKJ3qwLsf&^5pzpu~wE!5c$^$L4_v|yGL|5O(>Qk1)5O#ww#`u>FGI0+(`MU
zSQk}SQmo>qRSg6)QfYssxq&8i$eA0A|KKoX68=T+aP3Jhc`6y2?R4WPC_IibV7oo}
zb7L|bvOVd=r<X2WB7>cdV|LcpS0^-Z+ea)ZlF8Q4K24p>#_=hOPOUahO&(r74ir!|
ztDisT){Ub<jwpWkru#nbLKTqY@aW|;+UsS;>Ze6&UD!>xqsd;Y^>W+Zy*voN3jnXt
z;>2^?L^(CSS!02@`zZAe<C%ik-{-e8qYn673pK_G>W!0rrJ^P>u})OdR|icbKTL*v
zkgeaFS-^S8BWsiDM=L0nGO9#B6EiiWdAo-`)y3QiBJ?@rYxNiQ68%nJxcL~d<>MzK
z4>%6d?@cjXtwGxwRvD3~oj#H#I;ttFpy0{McHBr*fuEaSthM8%$!OM>9{1>YnOpii
z*JoaPv)oKG8dy@If;Q{kJ&GHH!v_<V7xnQ`+rIW1<s?3vuaqTccL#k7{w=r3nA1ae
zma>R7@l?j$<xT+J8-ukRdY;<EFNU6uk&h=%zfPReN1(rj6E%}mU+`3x+d80!@l`Gq
zp+uUU)#6sQ;Eb~|Hi%DtdjT*7xd-{56wWQgx^NUMKW(cs1UqMCXK&v@7q+OnTCeug
zr%z%noTv+4j!Y1yPJSsP8_LR|F!2uOnOB710UO-|B@Q$_hm(?$96H>DXQQYOO@V)b
z!LKrfoDdT1%cr${+45=KbF1u+81lQxJb=Mlhg4&j*<<Nwr$TNaB0+lo+`ogR>k!te
zV@==l)Hp!Y<tRk@-@_B(_Ll8ncB1E~*6FgI3Bl?->OTxeoRi;*Syjl)W4T9L)<k_%
z{Bb=kVufUFY9{rDlRxbo9LnGWi@htNKr~$&b{&!Eu>E%nX9OXovfsHJ$~;~%O&pbQ
z-fbaQGCBc+(wzs;JrlsSvZ;>q*|I|C^u*PzwrR%)eOV*vwyeOpCnd9vk`X(;dWE5S
zM>D9soT7PQ7ha{1-RXKe%#5g3xY^^DBRW;cQ$#N3@T3k{ph6_`ig59=LGDay4@=fY
zzd>byQfoV%Ft;t{@mUD6+OLU&bRGxqQnIu-Bd!~`-p%pcmqrUUcoh~X6r)Ii)5izB
zUkz$ZEsHPQPMmZ1uN9?{Kldtyie*r5f((Re7&EXwGE`sa{cpYc&PHt0%&eR%EL^Uo
z-Cq=D);A|zaj!Fvp{qfO!Fzi3EyymK%{%T4o|!sxwqzKit$i#u_eX~~lyN8G5Vm4G
zzL4Adc*mE>%P}u5Ut3=q%Xh6vT{EqC?z_0bVG$7>A{+d~p^&#z$bOuaM~Xdm$Yy&N
zFVRI(abLfFeY}u{hXfAT>n?wy0$qDYM|r&UsZZtQ<+Gls6XX$Sz2B(9AUE}-5$#u-
z=`q9AU+%83K3npM?Q4U&jk?<7o-LNjeXUZcrun4F(@)ZAax&;qQR{ti<}t%4r`T~d
zz0h<Ou{lF8)~JZxqqJ_0D(-J~3z)?So}8PV-8C$~{dFj0$mC)H@pL&Q@hvMnI0TYe
zziCsNyeq)!Eb%%XO5ZcYR5&Lm!ZA@a|5Df{u6>&`T9j^QDk~<0xa5x|9U3&sRKlxB
zbzO2Hm!eeh>p6|?|GpVUxN23r%FbP93`nF0Z{x$f9hSQH$eY8G|C*(QUzK-xw*(k0
zv=2q~zPf4Y-Fzhv6<K@>2XZ!`FL=BjWtFhZ6fWn>%5ma#iGzEW`p_bzE0TCm;4Tl1
zvA1RpXD3EG)#qfWa?ZNW51DfupVGHCuD_-EUbGooLYd(90QIvP!($~Lp`SxG+?l{}
z$L}ywl8GUn+uKz~4}icoCylTj-it(3%*D(Tq9eE3Zls6WPJUuqT}eeL8N_IceI!8v
zDi(&(A+Vu*n8n<bW*%g~2Dxh2*DYJOGK#JWpzH7B+8>&5NOZ5m*;Yj#k*1#V1Dy0U
zLTf0LpBdi<Nu@!8WCq%IjbhZw*dlIFF4Rid!}e;srog@*Z5O8)e1=TOKH;Qntm?t&
z906N*orlT-!kRULOaX1t2}I^6FY|gY&jw03;%}m9i(<Z6@$&LY&y!}G%o@l2W2JK4
z#5QWh2@(>8c7j)HQUI%ysQg@9{<^L%p~fZMOM=e<t1j=aa4ND6{Sf~;a7T|#&i_a~
zEv3%~++tAS?b>hUZf+F!r|T&r*6)?tvaNveprAjde&OFSVnnlER(|!S_|(tHqUtZW
z>8NtrxwiRgbLSTRC@4f5o#AuDPh<H%C8MRAmn!GwypqxdA?to`Mad)B^9Q41MB8!a
zZa;H&A#M?-#cuD#S3X*_SySCBR#OXEouW{f<0odOy}g3AKT}>5VvDB@Nw=TpSX$(?
z{My1XCL8-t>gu&b2>k!pF#atm(T`~3(g5MdR64NSB)tCdn?L<E^z2WMu21Km3h8{z
zlSi&Pa*J{NLd8DfFnn=175|}R4u^MQ!{(orp*#S3_?tD(pZ6sSB%JovZ9FP0>1hTZ
z@_gRixpFDHIWF-S$9^J#$)>TDzbqH0z3QIAFFjq!*kNjl#Pc2&i_3`VhWz4p3)5gx
zyeOF@uv0uYbt%2wp`3eRWkFjlIbWyZxeTRl?h1YT?f^H@yBK_`qRBZz@l-jj1L8gW
z(+>rFk-$yv;TOu6&V6JY{9TW(<eik1nd~wjzm;x<0ax7jdKG0+HgYwM&GZi1-XIBw
zxYmy}<8{8?6xr%<q50g}CMxEmm;9i?w|VsNJn4DJ>nUI~Yfj;4>x0CI>uK2Z&Zu0k
zu!xPPuyFBb&pscBEQwoK+WFi*|D``o)fdL#D)f5qETp!d=T(ca#q;|BLCtm6y8PX1
z7q{-(Wmlsb!yg7cRumrQg)hbBQh6>P?i|}l!^`Jq(zp2ibhaT39Ma9jt^gw<Dy0o8
zL)tFf{!G#~AyUN#Jqz5O{`ifEs$@{MPy8UH{ygyb0yccH%Fx3B(YFisXT<Tra?kN+
z;Lv4#!XTJdz9e6l_ZLFm{?{r-eFFm=6<=|zR!LbMe|Ko7cd4kUjMXOn>xQfDq3oT?
zJS|fKn5zc>tswPEEhd7C0L*GO1fOK>4ZT5IZN3BiQ@4Y9DZ$b|TAK_U5?@wF-Jt4r
ze&wa;-|i<^dN1{itpD1J0bfjQ+GZNBcr``7Hvv>ll5FktHDw`BF@!3fq+G>gY+7af
zEz%iMG>IS25K8H}g-lr@q9$fLOHU<5n+0pzf>&@O|0ybdu1G^BoppLpn4Je-t4ptz
zWjy`FeWd|;85CQjZU1Q5BuWxmq-aHZzI%J8P?bDNzK5wZ__=5rPy4xK>eLWTumG23
z)c2%RoK1%CqpPQfuaI<da{62kaUL1$)3u>isMd~o%kJF{HOFF7!{F>Z3Y4P2q&<Xb
z{EOfACn1bWa8=N!&b?2XW`UMsAG(I>neB>a8$toy*GwsU+Y^Z|#P=PyL@nh9ZAhpC
z8w<<r04$r<s&}cw|9ejh=jMBGz;Gh(KyZg}(DS%HUSPCMki82X)z|Oa^yo;EAZ6b(
z>Yx5EoJ|MBbvIM7pu$`Oofr~t%HWrBcdQFV<$kBF`VLe`B-k>)%C^}BR?}+%ycCJ6
zv-XZ<#qY|?9l6RLrbjn*_>i*!Zg?J^igxa#^`$uy6i<CGQOGrM|L$bmecAU=T-L>p
zE1a)!9DmVaxdRhxgj=O_-Q&L#C51<Nx^2`?Rp-z-m#LcoZcoICQZ)53KihyzFh$fx
zw=<d@Im<`tZ&)ZgDtH){jw6s06J@<Sw4Qt)kdhnCIT=eJNb*wL;^lcRWI!X>g?0H9
zsr*k{LT;v|E@NU8v)%yR=yw+Tmrq7tz`KWBeEt0m{4OW6lYu?P^^D{_{qDf+=45o-
z5q*MY6drKny#RN2r`oI>B9(3Qbjcon?UekN^2KRmnco4gP1K~NNfINX4y4EMCw7Y-
z)JlojL`||alN!h^#Ao;WB0=Cthb~cX6l-d0>YP3QZ)dqpneIS0831*`_gU2<D1eX@
zXb6>3*7VDxU|V+>{ruHkUUui^Y-t2jU8GI#-!8dzfF=rTzzCIq=D5`o7ApL`1##-x
zPo=gWQ*!ja@I=<Um5i_+MgV#S!_<7N%2Xj=q><wKjmNZQ^#7R8&<`B5$lW7cT(phy
z69x`Bbm9k4j}*-#2hnfSz3dykkH+#oY_U<?vttMQ=FOYOix@1IDHiA*NKD6q6IRP)
z=-|z%oVlzyv8jbY`!hTGs4hyA8U*x304}Iqp<VxnsrQcOx^4f*-(4l8q9sXILs2M&
zQZ%FpWsj@|31vmuRHQ^?%PQHM?A;|RMVZ-3cE}Fl`#j%W_wVz2|8d=q`??x<z0UJE
zj_2_lSb_~~7)NnC+Q~#&NYKbm=Igtk0FLUoIR#sQ#fT&3O;r6c<*GDVdSNk@h1mu%
zW*-*|f!&4I`TQgP*HC_S)}6b7ft)JOI4K(PR`M(EkVNBBg#KOhKggXGO_zSGt&<|i
zrq8?e#%04XJDY3S2F>YsArilhm#n1jI3_voO01{=bv>M~WnWx-zW^6jLu3|&QQ{$+
znTw6LzB%ai#Z7)7ym`n3nC-_R>1@LgWugW~HHVR6vq`qtf9K4}l7vGMY?}(RDB_qn
zf)J$`A~4YK!{+4)cm9OQ=?UM<S5&>4U;1v^*I{UWnflZ+t)4z>18t1&kHOltX*-AR
zVC+W>aEs-^_~HsSTNyA+?<wA@f(y$JfTs7P)K{S$hbS<pBPDA+gsn}ixmPVF=quh2
zz4G$B;umnUSKMQUhJr2j3nDayHkC?7-1h^fxnw)Ty1in$a|Cok3%5+0J$v_dWSlt+
zIX0&BPp8yMJRI2Zwq0O1v?r^7yana+B9MU=J&k)P^&epWd`@cujK6BKbZPE7$XQ7C
zSeTTC<#tg_GqC-8`WJGDDvxmpr{0U*@pT78277zICixDD8MKPJxM53GTK*T7<~}eJ
z>f=mR+U)2H>Ayti%WM)x0L5x5ZOX6}BF-b<Wg4s+azOTd9}4{IqBeNO!C}&uF8KrN
z8BReJ{rWJET`<zjV0?DmmwoBjZC!;J<0sxZkz1Kt1wI-)T1*$Q<cmN%F@Y`I2N*kh
zOpU{RUK)yvljHBV{5((-3CR~BWpkty&b%Z?<-9i2bf;9Phl;)~3Z*XeE2v$Bbe=sT
z`nJCoUwnTbZWMyN7_G%M<m2qT>dj)@bUbKDQgHkTiSK+FPm^dE6t_da=DbIBXXcBJ
z7kPanOP?Pp?9y>cPO{mHG?ZQcoW*b>%E!JrqHa}vJqYk-&TvK@@bc0iKwaKxZpyLX
zlPkmovWx`h?)9Ew&hLBjr6_q{bfxs$?CKexfL@SR-#@$VOj$oMKK^1~xSaxQ0`~)7
z4CZ6IbCEC=Axj|bC;aicS0AUepTSCduYiC8ym$3jGjs{ny|+a_+>h{bXpg5^uQg@G
zey=Wg_4A!`#j~j>hThnzD~bL2CGPrs1I0HmaC=Pq>Bv~Dh~qdekQ<hwnS1L}>-E4P
z?KHYU)5xiLhV|<$D%Gg}>Cj-aRt!Wm<briPlzr?CI{9c8Ihz#f@QuDlD&)nEfP856
z52(nDz1G6hm9@R1{F;r7Do(s{MjmITrQM3NW9+6ER_yjUp<gZa^zx+_I7S;yE;H=5
z&pDx^qeJMZAHzg7XfFh&Lg=A&G#$1m=g+R!dI1_YaXP0Cv#@Eo9?4+Yd5Olw4p16#
z_aTgJr$mV)Zjp)p6}X7yvTm!BXj~Fx*4%XnMvX=!OpTRz(6YwF4)%Qe#tFxb7l4YN
zzLoD$=y_y+Qd2;ZNN672yzN(dI8EKKmB7R$g1LYEy0NmYvoFFV@O@4EehVAIJDW{I
z#k96L$-yslaBr6-UBJ(xKH+hhKMR3VVFgmxlY?Y~X(*Xie?E&d45kVxuPKit>-0Di
zD9A2ptlvfnkpLEBk)wdsm;1~c`tJ_^iN&R;oF2;8S-CRM)644XC(8xHc_wD@WCu5_
zqjcZ;^5x6-k0JJU)Tg3$0P9X+v8<iP%ylIzaU6P4L50Oshl30?LFl^&r6&0t`lg`i
zop}7#qV2EfYn<~T&yM^Z+7UQ3P_kyrLJPFv@0sK9CgkP|L%N3U$sRC>tj|i?k6Xu3
zCr6X+cU;F+n_k|kQ_z!9aMU(`57*sLeYfoFY+@5mbV!K|%Cy8A<wtv?sN4e{{Am5a
zoY`Tk)v!1M?5PTwR5uc-NCP(4NGaV-C{^emcZ^AQ3~OfH4kAW-n<0y<c?AN>clQuW
z&E&*eos_w>`?7JWJd){j)FY+^dw>YKRVr}`Wt=@gD~sh{9ZJH>D586kV#>e6e}g~T
zA1N$Z%J&)fq&<UBS)|4MkN0>H<uq%A0(Ubh31ZAdoq#sCGD`Z7!%C-o#sMNrMCNVT
z?{kZ|69ul8P>8>Q#0t%G_%eTBnb6EadyqC-`H<YXbIt(IO23q@?Cyij+ySa^g8Y=7
zGTGq1%3|cYjhr<oCywiyFT+aLBAg#xLq`Sm3U!jIo(*~NqanD<r^~bAfV10?JhTtk
zoxC5q_aT6vpN%c+)J)urB-h@(Pmd_{TxW=pMDrenb0D0g6=!ck8aQzsRITp3uz2}%
zV#Zq9GJ3yw38C@R*Ii~(+&4v>lC|ohWm!n{OIiyV5J`Nuf!pz$G()1HdC%Dq&5|Yt
z28HDUA^!gleE!tk0@tTO!M%+43}42-Jpn_wLY=NJD1Ey@_}QpWT?NyAEDX<fAJCMT
zZ{Y32<03|k$)9?~&q5m&|BMnH<#uXeZtl45N%VpWsaM|xhbaaNHF}s)Dlb+A@bbJo
zrDQf^_|PIeM?U(_lf0y3D=C5d&vyYh$#<@bqcO@fwMPmL@R8Fh(Z*awzrQ~dz}^KI
z#^Kgx=vJaISdonrRAi~)C@3F5CN<d^sA}YlXC-1M>EaS{$}ucprIR?&w`0>E6T1A!
zbD`v<V;G5A_ygq<_w!W1#TMb&6@^CB|Mqk6Z{v9Mvuga-n!Po*U=%ELd_e)eX@@!g
zhu&#BfN#jsf4MPCc-q8}xC-DMIbm}PjlKl&NYKeh*rWZ}`)t!r5&p%PJN{^Dc8~NF
zpLQc+1_ImN76BQL53I<#Z%-;uTB?k|v$gRWU-XPUu+?D!C>^!o$B&QcWvHj4;F>`;
zCOt>)kAIhdn|TNZBK4h8Nnex_RAfV*?(mGu+}$1;Q?YVF;f=zCM84bi;ogwmT<V22
zeY{`!$p$R+d&vxx1+MD7?k7vbT>{&rovKhHSVg#?A#1TK&{b=5n`r9M^SCpgE_rED
zRcy&J1r(AP&C9wgw^J4(HIZO3asIG@B6b5*`T_(Zo1Irt?!R{6PcV%Fi-$Qh0r4b5
zau0y``ZcdI-9)-w^ne||7q1;ZDhkF7l?a^iD!BqU*-lX<iZS{Wi4b*j0V6P<@M%^7
zENl^e|J=8&%6~wxYZ0E=6s-(b!hBB*z4$0zPu^QOzndx1IL1IN)+%yRtd*Hqf(!{E
zM4B7y>dlI_dqN4qstpXAq%wo9GZQ>h-~sCb_;w^dqoBZlZS7$^t7ld5;roa|-<5^%
z8%$BnzK%c4cP`Ax$~Sw!(a{${qT7di&@u^NKSfa9G%?K=B5(h|X#Gh_O3I5FMMXs_
z%Ndi}T@^6A@oD#g{lg$YC@2SN`1*$%?LUL;abhYgMnu|cH&VlZ@-T<qak9^h4b+LA
zN#uV0;AYdWQ6}nOM$2zz2K=CKq%Z4;vvd2M5K8yYhOv4+!Do_cOQ)^PnuLzq3ckDL
z`0QSY_o9CChhLYzO<WDT4J}u9XTw-FdMRm1$tUE_G)FAP4g0uK5o)vWCqig`4k#sr
zROxwWcm_<P2wHRR=hthA;b?7$NJST512uSdYU*ec6XnSNiO=X+6mZYEM)!RGz6ZU<
zsfKIMz<QPX5+O0&s`a1rtZop_2}X%`C^fY$Df}`^OVs|agqieI!uH1MM?wUR{7L#C
z@E?=xG&>Bm^Ir8ym}wt8AoVw&Bs}9&@6cv{UST=2D7269Y#DRhu3YT8va7VKrv5#5
zC-YQY&?bj*M*<pxyP1Cylp}Kt+$_VYAc+-%1aux6R;e_Iv98|T@L?55Qt=;NF>CA*
zJKoqgGIq>b!bWEPLb-&JU%`qR<y)WpVr|_4mJ{9O?gyKO=9Oq%&Ye3a33~Ev2!6WW
zs5DQ)yEG!LRba^ep^ZIhs>Xl)I#l=fH8d49<c-7dkWRAjP^#$n2pV7(&+B|SbOc)R
zpP#zAbi%B@uML6{^VrMy<1ytc`{jyGzxvaVomFt?Zt(5nqrYG2QtKBxpUxn6;irV>
zMX!UjmoXdBGq0nlC0zWbDUhIZhgrZj|MtmyUk02<Pua?fJXhZro|*JYICzDV6zaJ@
ziFXBc<c|5(;Y%P!a}!1`;e~?2?~YkPJt!|%7^A@)-iqm)mOe@xRmA9m@Vs4eD7vhu
z$)A3`D(Llk);sK9+tbsd2fTcqsu>%VrP*@)$Ug_EKvr@xE=dxb(1L(p+1h=3_YO`=
zSn~hNMgo1|`SxBG4aO%0doW<`K0HbNEqs3m@HeK$j&X7&$7d%;zNVFOjgVcf47L!P
z^!-CZehzRR^Mk+oz}b`W$DZ@}-dIZ~&z|saEs0(x+bLAqNJJ|<XM@hmbd%-9AAX0m
z5~`^5?TC>S_Sw)}o{oJ>yFsFml6)2Zsjb2hR*><t2Wo?kR7lEKAh<&k;1Lm~!%?Lq
zLtnwlDu={g5%W9yu&>Tg5J^FAwx4i5t!!;4TdA+1lZ^cAE_Ry%PLkG+hOt_$GOi5p
zJPF1owvgO9MFkx?QNTQgGj~{yHOeb3gWh1Swk)XwdE(}lq&&M+E6<M|Hg(tP&yj*S
zT84tCB%s|&q0ihjf!33rRncbA);jl(^oo+QuFucMRAh_h7M;#5*?+vH19@(53$sSl
z^6oNSxkc~qgD)JusZvs1&=L@*oL<nvd~iW+4{bp1<ABRB>Yy|#5E%{CgLtkaxeW(^
zT30mJ$MVKiMOp1M(o4y%z#9TbBFSU+r+B#+MGNt?U$LuY6QDb^qFe0YqtFw7njrTi
z-@g+t+8&8cETvh>7<nC^!x@v-B6j5kF0CBXGhHl~WMm2q)^EeQ_;4%GLVRW{hRh3Y
zKhM*(JOK{2<%dGyA^SyqRY}JC{@N<M-wHjx+0BrYt%GpD&U=uJRFsAVJ>Fr-q1QFS
zYBk4V9fcvc1JP#wnjxR^GK56Jb+8LFWou;r$h##^IiN^UxXRC}jW(C{`BOjREy6=$
zbbS*5tABg)B*#8HOYAQ9c#UDG6)>pVV?7iXLjp@>Y`NmzmJYqNfg>s`LiBVy8?0|J
z{vg?jRsOszWch?oWyUTEH{w2L`THmK816M8trt@Mks{?86JYwn;&+flq_C)_KWO$|
z-J$VRh>vH0tKC-~nGcWqylMkReYT!xj7a0)0B}FsGf}mbEOIt&zTUFRVCbg7%{bv*
z*~XIeYu1>4g%{Gc0^n?ZTzZiTuR|u9YV&{CMC4xo^nu88YX%OG!tH$^*b|iA9N|o>
zM7I(mP#|#{y5f-%m}q4}MU=62+K*{ARgvxbN{ap~hf~C987gW{lEDCGSc{sD;f6Dq
zgrI%;t6-;f8i~5k>xX2zk&5iqj{~o#aBQa3$QBk`+^iA%OC-5{4XEk_87T@~{4>u~
zFP*j20kB3>KDsW}mVw9l+@iIS<kR`LXI<zBQn&lBNp<%c>3gABQYSu<u2lqf&><)8
z*I@gql6cF4!G~w#&yRL?$5@a(^M3vE2DO<m^`fwQ{H<84PZx{(95f<pYDza7&$f@;
zJ~j<rVv0glb6?K|XFLA69&+xS@#iy~5|ax0rMesvNRZYAT;=WM1<IUq@X*QIFl&gy
zYbs>Yr5sn-I+Qn0k_!NYvJBn;QZqqfp5Z*Q7b;<@I1A4?S)*7O8ZWf8dx@5#GyF=$
zF)->74t0if4m02T`(u{FpwK~4p~;^PM!VI4^;nH`2g}%%geSh0OdR|*tvC0`oe*6`
zzV5J-@5>PR^egMTtzl^o$~>z8TO%=nGPW~j4!($}BGu1F4=OnfDN4K126g#PH@}{w
z&K`{RWmY<rjcjauxZcvM&rV>`tp^I!c_Hn8oDPsCoecJ_E`gDB&V``H&6l&$EImjR
zU!1iW?$Iu4#uh1c4ISNP5NTsVHWD%b^*z=M<#8stshw*1(i*z*E<Qwk#*~qkiDl#9
z0t;gLYE!#=pv5qpbf8|)l|!7I@xRVuF#7J^uwbVl_wF^<@r5}FefDtC4uj>O-n*Gu
zzBBKZgbDnOP0YY6FRz_9|Lwb^Bjxp^(!;#_r!solQ)Fsp6Sa{%?G$u(85&W68|CX^
z%}cB3z(8a&KxKUaQtSxM#>658#M~s_1l8Uv46ii_)YyCY%gl-g1apJr#*4sWVUTs^
zJFCZfd0~95M!9+)MgTZ;aT#reL$JQ+2p?inFBLDF{P3|TGfG!%!CA`@h^_PL%^aXM
z<(tiUc>!TP)X|Swi^0r!s%~Q=*T)EnXJjC}diJSZi=~{TPwK{=Ej#UxYv;*)<+v*p
zeh8=~Icx+Sg~H{C7&C|oFW@kIQATF{76!_FIf#p}NpXiyX~n?FxKba|bdWUI&Ft*8
zM*rxp$Yy(Z4`S3hV|NAGQ38GJz)XhE=;@?6LS}Rf$?}SrSL;{@m$-bf_9^gM)H<5+
zr|@FW;!lWZ=**4j_N7fFEh*6^BOuDy(vkWn9D5eKu37KG6eBQEZLtRK+3v{b=+?;X
z$*nPA!Y10m?t_=?j~yY8P4DJ%OVWy6KamnZ;o8bT=f#Z$&1=o2^R1`YgZFoEE$u$>
zhM&cNeVHh%_{6qv-+t?-{TJY4x6O4LLu0%Bmlwwz=f%>walGo!aL(|h!u%}VAKkn%
z*}|u=KoGSDW}OyOKx>_R_QSdb+=mjrS#u<YQAYyA01Zxa*~&j)CBr;8xv-0vS-Ym{
zC7fcoPR%6m_4KRK&j_z+q?4N7mFq$D6(K&=sx}`6uG@mt_<ap(n#?R9@#;3LIIk)=
zr3Bd37kL-d<z!gx5PR|>(3@xMU_0*^Z~I=@$`K!f%<*K9j>?~XIRNua8ke7K*`7~n
zolX!(ngWbcWHZq-nQ^;Cpzt_We)R=hPFtjHDXl?ll&kVdR|I21*6Smbn|!!_&(D)E
z-1ij~7aYT~zDDfL0j9X*1@J)%(~~Zgh%oUk9yrT$Ut>&hc2k3>3xU?iKuj)V@K(N`
z-!9pDb>lOPLc~kJI_<wss97tk#c0;bMb7Lzu{Xl~12G$BmG>Fg=8ezHYy*!gs@!$C
zeYo?;Od)=g4_$8!myd0e*LCZ+%m&Nmn%+|{3#5cDXdSH+TY8h6-Dthv=bJP9KD+^<
z_;44~4rxyVX*mey+EF1BEPegRG>omE)g6qatXj~spgHCy<{Q($2(7jTqCrZP-+=)7
zFHloG*19R~;!J2?KmkUC7SI<Hz`%NbFb1k9-nbd1{CN9DhIC`CMw1gR)ki$H3D-F!
zMdbD-_4T@EppJ%w2jsv&N|?9$TPxVFRiL&-%Dp~&kLB5r$!L47Fze4uD_HFP6r!i3
zGEFZe>xV`tpc^hYX`2sX^wHL?#83P5Y6lZ0WL-Zf9119=RzNfj26d57FXf=g42OqO
zm6{G{0R-p0h?i>$ETZ1KOO)=S*e*}Ppe8tD(bBw8uESzpT9DE=Su8V1t&dZPa!Yfd
zw1)$D7O;fn6c2s8(Dc^`xhF}n<FS8t65W>of%B0R7+hrowe^qhtBGZ`v;6*5%3!iE
zr}0P(0JVjgoMpK1$gG-Lk?=@uoaf@=q8`|cB1CkLkLtwmrD5^2|4#IKMOd$V&x}B-
z4z7`}yZ4+Md3*4$07o*!V+Yg1kLAlY{g?5OcXA*7e3@%HmXok9?e&ve3KoslR^^Rs
z3QedKFZ<-8mXrTqgpnR>XUg3~`5~SMUpxvpv}W^7ZyWw8h-i?AV@-lx&uc?%mrOP{
zy<{sxb`_GifjEYx^L31|vYu!)N~r>Ai5u5VQ}YX`x9+ua7~*dC4+sb#2?Zq20)m92
zS4?E(XEO+i0$bb9_N~NcetO3T+>Cl8Z@O`XT>nghazgYlXTsZmD(6qKS)C3ul2f=y
zqaTp%(8+Bk6(?knZOV6w_4N0_cVhTH+x@Ctogw|%y?NtCQw=k@>GJPD;hTk1M+iam
z^I~V7lw#o^Aw_n;;b=zX?JYL40wI_p@gcpX^B?b+&_1L>H{V{h@~Xdxdz4!S`f+iz
z@3%5iV3{P2v1c!)m))CoP)1)7ab#dXtCa<;|8Crkau{O(M~iB;4Qjo$EM;HB!$u0n
z0q4u{9-=@THtWCs|F(+x^6$C{uLwOv`@OHnN3@GGuCW`ahp9Tk<z+T2C8qg2j9S>)
z*~x4NZCi7+BR};G*f~<tVwAp|I8Ecs&d<(MBN@6y$)zq)xxmV7?fUgwZAUhkmV2RK
zw_9(3&vD6@hv^F!b!T_fISz5PY_c!w8%cO*SS!=DYk62reJG$te{yC#92HU;4gAz%
z6@)>%>nA`n9elM>`Iz^il8^GUo(ofhyQv0gY+Rj8z_==LKOGz^n0$^4udZ(dXS~_#
zo=&jMo_+hOVXH8;8$I?!gW_c=3=&a*ub;EQ^~Tf*8!$qc{0KMu>({Tl&qSTQynFX<
zBGnMN)zh@2C_47EC!YVXNI7^l_18EJS$U7V+s`AH1lNQ4rTbVA9?Kq!0GHAaufFbQ
zcizqR$2;S*{;@l$XVGlvUFvxVJxY5JUIQdHNx{oa7Y9d}e(cH;u|%*GNxQh_=pBGP
z0*It)D}S|QN3_GAu24+%I3GA{ZYj)LuaS2-+T^5hMvAnVRGmpHS7=tt?6>P8)>|kt
zxD#GrSR5Sw1XA~o&;g<%_;(g0WPf5dMW90!7?YFySo&ci$w_liP*5Q3b3YJnKq3*h
zShJr3>^^RTl;Mrf7*JTn3;=L`{*S_;6=z#C)R{uJ9<=Jh!PK`AV#U)}<!xNl1w`z8
zXKd@UlIWa3+fW_jq}~H1jR#vSTW`{A3whDnmgJV$8sX(u7<+b)p{LW4pUSCn@H%`5
zl=4C#K=keg^Eun<-^Pu4B~zc$K>_^Kc3DQs@7<|8e%D5LL`D`Us&Vf~zNFU2FAYIz
znHR3mxPUh5KdCbN3Q~)_-^3v}H11!Y*}L0}QJu^I4%(Z*ZMNIkw!Kcw5smB|4F0Fy
zfSFCmX!crhGaWdPv#*E3rs4UujZbqwMzN!<s*vf>A5i3E#qyzU_{t1fsDooW|GND3
zS$Q~K5Z_C0(7#I?ltMZ2=8NtFXzqpDb@pz@x&M4c2td_h_4B)Z=Ii8~;!!zu+UGbG
zvwhnd4<J)G<(W{7-r7OAbsj?zc`%(UpNG48=IFjRD@%r)4pVYgvR`Jf&bK~J=vnKv
zax}jCD0)o$&8Jktrb@4(s(Qj8m~M~mKZnAW2*6bhl2$JosH3d`d1hiDjX@>ip?!Ka
zC6XWOj|sR_d_ebaDH%I>^)p!2)!5i33u9cO=*|@W*mC(KCv+9}e>=x{$Qu&3YXHJ;
zkv~SL<-|pE0{g?RZR@?Y_e-81-Nq47qzz+wdxkeaB80Y!Qh$AoMB(hBUd%Kn=QkJg
zi|^phdx|8tsARu(d+ZAV>`(Q|NVE+IK;tpnW_Z$2bE7q4*n-G2pGse_sS4y%*86q2
zO?Twmq>#xe(Cdgo6nr4b;9n1+1zDCaTSt;Z$?_3xGjq_k#$-AbNRHo(G6dDb)5@N2
zln8sjepTCDA6?TH_m-rs*QC<Z<20Wd9Pz8Z#X$0odK*=B{II_fN0M2@@NnFu0d&~(
z+mFNGTNv9lYutq-vRLH3xXZ1;$YfC%vhzZ%U@mz&$ko*~Sv`@>Ng|BG&dek)E2fpM
zdh^fS?_vA;dds7FUwEI9!KvBEa6j<Td5;}Z=$TFEXw&TMkgRBc7!UWI$Ll1!pxUY%
z(J(HGFRJIW@dx>U*w;pyz)~=YhtZ3Dp~3s#+)wNcYH4F37Tfc+=|c()3-~Fcvb;ay
zKixOvY?*p2;kQQ={t0tP1oPncT8T9PeQo@PF9@Lt8<&+plk5+AT@_F;;z&o)B((~5
zgYB<x$So$=Lb8X?=}4?Q(r<p+!Hg^nLJ}XF&7UrrOrj01Pq$l6>N1*hn9c-gw~}ZV
z&`RzllRO?&`b<a>PX(W5c3voTEu)~n8D^4KeKOaaI&~^7hIEDSp?S|7YZgmVojHuE
z`g-<uonqwMaIybLox@P^E|aAKX@~ahdN5?}$~~a`QJ!Wth{#id!2Cp$d1Pev74BfN
zy0<rJ0iz(g5^E)X%uodYKXP)3u2pACbhhfH-1^C(E8lVVH@-8)q!|D;=_Lr4f0PuX
z_ey25l$8TQ4s0cW{-mHRO<26>5*8zZolIWpgmna8PU~!m<Kq*RcH76c_)SRHy0Ym;
zfcLxr-$xz$=|&Hiat(%_^0G4G=VB2^;*syvg&W2Ixu1Yx;gD>xL8;Wi#e{w=VAcgs
z(Nff9gS>VUbn*sENu67ssg{VR2LH4BAp)490DWIV_|*Zlfr4Vp@y9;F5^-vpi^6e(
z*clalVcM!IB)W((YQ8Uu&I~KCN@9p1Wonu#&Lu+#%jAboS-vnbJPeCtzNzEZ6S{D9
z=#;gkKSH-bivRSUk=j_>DxRI^MtGGL=tM<DgYJ>v;Z!}Z*Kd%}CO4KE>~dURvJ$(-
zJ%WObz$2h;nCTlEOPN&`c|=xP)W<bE4${W5W#U240O9+emcH@Z>iv7Atzr4}JQx&_
z7@CQl&ke<`P<(-K>5HSL{n(bQk%<VFB-ei};JuO|2`lKcPvG}qe5tXs4b=s^2t^$h
z=f{tu^Dpy_Xy;_u_8zQ_`?rHQ$ntH|#ujM~EMXF+_k3v>cX25Y`8{M!g7Um0+=x+5
z2%;zT)T<A$7-1e`s7$PBTvzRE+_>ky&{)2MN!dRSCLF3$gKI+ZEzkA|adHBr@<#pX
zQoAZso&FgsO9gJ_c;8OVcrg`|e@0#YN45fEH8<&$w9Zg1rUH>qk5OEmPoFZGOTL@4
z-dIk7z4H(^AGfl0P`)@h>D~&7r=F~!-1i1w8P@PvsP}BKM2t3>fJ4OYES?cTZ6-7|
zytI;-);wmmKr}%RD01+*Xr1tO4HGRZ)Uc3!d1@^vLlB_6Odb@a`yOr~Qr6TVGA&|1
z0m#mtJqPCr85UW=^rBt!atkZbi6+jjp~uny%k?A%`2<rhCnriY3-u4EQ&?V9b?DGr
z?Cg6faaX!%XVG`}ER!x{OBSA;rED$=b&7cw23Q3%T~Js|I6_w5m3alCqPlANZgpG*
zPOu5o%+fiZC}Q>I^x@l=JKA90nTEuk&tIqF7m|on1FSuk;Znvp+Zvwz=L%hqAhAqP
zz_k0cHvWDNR7RVWHmrSc1v|We;}P~jW2}$P_)dkXo@q-dm~bl!lNX%ns|l6nG{L15
z*s8Hiiq;KJ(VGF?kKl7MEVzYHVfC?RLkxW{u$-30X(G-jKZ_>r#F&mx&SVUK#S49R
za<eeG975IXAZQBSwzZz`P;_KuB{urgrI=C4CIk~5;nqoF$Rc1DNO1IoeMSrnpb&^$
zcLeg0OJHj4LYI`6lCdt(zqY>U8n;SfVA0bJl+l`=2ei5+Z^~c|dz$sT+3}j&0>i%3
z^6A43jC0ZUdNHC0|0xlS-Iai%KqgH^CXd5XT0R64CTeYPzK*ssQFNy_?qf`xBHo8U
zS<pQibFm#WJ&hgG%D=uNxPzNwMo%C_QPK5fsHkm|6_pWR88`HI@YWq=dqmf!<e4#R
za2ZWJRq^o(1&D7nZf5&7XiN(V+6`^F$fKtS6V37^t>@V`=h;%cy14a~L%EeC&}BoS
zH$G*d`OWn|xK?Y1yPXI2HnU(DI3?B+m&jOU>#DvH?t0-Xj-er8AQK%ld&(^UZc+YL
zW(!paW1omIB^V|Jn!<};>xM+f-3@ef0(Gtj6z)dVloBW|j}jfn@sW(ys1-4@K`1%1
z(KGMjrZuMJI888wyg?ABdh=JsgVXZ|jW?`II~l`<>s-Y2oT$>GnDWU2@RUIC5Tsok
z!539!^yC7&z0%m5aL7Y6iyb-!bQ9#RDC^`9<{fq|=v{-9F$~KLD~or|TL(bz(ifd#
zZ7asnbua!PI%86SbDp~9Y*PMtvBN8?{ZNtRnenEh*DX!&g9=2v>6o$FFKS6tcnU)X
zew?m`@Kdwxcc~Ia{;MD$>VH*fEo$IW5qw@!a@rMPk;i;orB_$|bjaL$uz2oY=ioPd
zRX*^V_$1HdF-ucY80RvKiZ#g6SX6ZL(bI-c<KTW1@rC6tR>G>C9VZ@G!sipZ>ba62
zR=}^_3pQzYFCJV_p6lymRxGnUYWxj#XuLOW{7ZkZRNDSTL{14=d~qNRo}BtDK5u^?
z>&3sCOiE6s&b_d#ybb)Gw2@}HSIy3Yu$?M(0!+ru7Zl1I8|Nxfy1!=XG=~2tTWRhl
zBtWdOqf|p9%IBYefMfT&noVkPndZqgv?_u>s`iB+z1Me<G3dFwyDy~5%m!V`;7V)J
zTE$)wj@~I|r$(&9F#uC_c$GE;9wyNPIBOpWYmE%AF2%f-)4m!;BT-4k0W)(%$d9g(
zAB(Go;T~w;JjBl?;to_Vd&bn<%m9q^uvlZf_Al_Q&V3R*=6736d%|+zqCn1>s^Bok
zV!c2mKHutVBqz3}8m9ZcL_&b_&jq69U^GLF{b-X*MZRd=QhU;fx){IQD<{Oq$at=#
zcxlh;$r><efBxO@UQ^na&1dNa_poQjZ~G0DXrhkC&=ynrU1kA&1;G&h8n43xyJ5kC
zv3m-A@(zYyN-UB2mc!BFlBh<b=NU_Gp_eXFNwa+7N>#qad`8!baWyoqv|L_ZK3f!<
zk<o$I_{BhRd-ujffAH37!hElEGUZ22-|m|8p{H7q=GHj!qb5{?N#X9%%z#$_r0%u!
zC&wNMjX$L^_7uO<>264)b*?-&vr@5hniv|(vz<%U0S;X&?h@q!hBu-)-93`<HU-7E
zVfNMwYvR93T~KsK6F~;83o5M-l@lEe^I3GV;RAAql}j&&Do)PM7T-AZ#Jh8H$mRwH
zJe$x0z><VhA$94}%_a!sHpTm2CKE6qgL{LQ8#NV&WpR0?NjsKw#2R(2@Z1(KCgLJ3
z#C~~Dd*O`14cGa2(%+fqdu@z@r9j@XnEA;|2Ja2RYd?xh@gIFZVTadB7sBQF=wmnr
zMcQE#^1~Ao@3vg~J~G!eCa37Fxa@a1;HQsj|A^P{)As%UTvfrQbh<AG3aK7Nd-z$9
z!V1qSmN6{p)3G6}Mi3NPeL}k?yeS;(N`MU_D=hJ4)L#P$i{2McRzqvMI8}HY(@Nz-
zmvmTS(}{qfdu=^I`e9~MpUE?#R8ByT$kBgeOOkPnHGv=r83|m!gf{v9b-exbtg<5q
z2GBb?ySlQBT*#zSc$~n1%~?6@=cT$MxGhD*Q6r;3K;Lyw^v12%y<6|@guv_(w+vE4
zyhzF!2(0cIWARF+)yOuD>M9K)!BqBRc38wvBM8)&^NImk5$8iz0ik>F(FA#>KB+CH
zebAb5eY(~7bpyEE5;Nd1$0h3)nDnn)MoU+sa#B>3U=Ve2iu-OD$r!Mna?r#9-U|vQ
z8ci?t4b`iwLzWn-sy(C+8{j7+PKaQn!Kb}Pfcg3J1EC78W4$l5Z#{t-D#^hnS<~D&
zJ&%_AC|-gYDOV&331jZ=JoA{*`1AUSsoxvSfBtJp^jIc_X?fU=*TKoG$2G6vd;uYc
zVMru%MsljyM(A0ID{AXyjLwA6U}Mj5_{;oC{K!kD=N1-*O+88QAW1oe@@J!o$(YPy
zB9%Se|5vp@eKe;D?;?9-K~bsXZ*@zpiC~RM3_EL5OZy{DU@l}L>MPEYY%9q|J+=jN
z2N`rvE>6{p9DVQq{}aV0rvOn!qi+s6UfzN`7zPPQ9@##;au<Wx?^j48*MhF}rml$6
znE~W|%L5%Nv*<F~Ui-g*fo)7oG3zY&)zh7uaoXGEfyG22HJhk$wY(M(HuR<W#r<{b
zrBZ6TFn{PFG?Ik16+T{qaZ)7~p4NB)E5BnZ--p8EgB?wey;iY<7KtbTx>jfDK+*pN
zuFCh`Z&^{r;A3)GJ!Mh+#z7oGwRP<<%@G$$@5so=wr$(S{PfHe7$1y+`f04e$Vvk{
zAvc=4A5fF@DnmvlX1}dFA7irIVpM1LQDiRh4vm2v*VkJ*_*Hr3iKrlGy*~i1n7(;j
zv4N`!U#&EDx5Nw}#%LwQm}%oi4jA*e5KTSCeSHfz0)pVKZ(O9Ip&2(nwrP6#6YzPr
zBl50q8s{0IhKZXsr(z*Od&=IwADFc^^m$9ij+l1E<zl%9z3<+=6G_z6(zi-gr;d$I
z7ICu;2D7W<7afKQEinKG9;QC(#EtN%t)5ZSNge*8Ft-Oe4E2TEhQb!9ik}K|oi1iS
z+}BLO_^}m&JX;knYH7Hv0n#jqUi>~bW>QaPrII<zWNo!Sg`&Ml;rA~NIra+QHf&tl
zZhdop8}parn(1?<qyKK5UW&qno0sz)fVX==twR585Id$9Xmz#04k2A)UYP7fw~>{1
zm4Z=YvNZE7q-OE_OocJT`=E;HppofeKpu-PHc}r@_3AdP%bm{6s7=VUVsx9q_#zDm
z?*~AYKKwS0b=B}FAk=cAihwlm+4z!@WF^{T!cokN-iU9%`(sWUgicJvS5wDfE=pTX
z$;DULxINH#UdLvgTlTi$c&+>_2l3BI8p4Z@S5Zut&Gjc=9M+1jx_^M-L!jUV_e;Hv
z&brq3%2k+uNt#(_IjkL@$|+9W4`*X^zXQ%jj7s<CrwrcsWL+y=-EjfytG(FY6`ZDc
z(JP;`MYyX%x~>$-d+pRTCZ?9e+BZeqmtQBWxpZwTOBL?!{IoA0)nk`UilIVB+SJ_(
z3}t$uuq(q+*p2;N1FZ_5PSHV#i!R^qsP*r(pVfLZveI<KXdC0I2sY{??p}IdRu*Nu
ztU_b@x3yWwhO<C!*e&~Ob$z|!p%Z$?%zr$Qoe6|CSSlolZYox%xQO85MA*W*jii`>
z7;}G79h+Uklj9rJz~E)yw7D;~Fxhc&I)E?o%}g}%VPyy;2i2p^hJ%L>%coe!H6MjL
zR$j?nv`tZ<c_?HWDq|7-9Q&+^%_!72uBh^HICQd2d<bFnzRkg{OY(Y5hHf&?Sun<|
z-(kUs3C;(g+~CWDLs#mX8s<DeEgBkbg9%Y9>`$ZVZuWl+QVbWpI3||E8#`%2d{!QK
z8w{g~MVKzx#q?m^;6*ZijHHwkHMAD=wyrlfdh*03)^ZRa!r>P5sT528T-e3UJ4|4H
z*?atW%PmJ-<lev<NQ!18LM_NP4<e2;l9D^(W1C<f7R^4?mqABIDne0-s+1EHne*kh
z&YpeP`6pKB!fG0t!Dmav#TLzAB)WcL$eEzMl~VFaNv&et25Bi6Tlad*o#?&tu*D@*
z9<~;tUjp<n19~4|q2Zte`kc6LTzFjJ&Q&E>a~TENw+#`ND2-%qg|EaZF%dOu{_%H$
zsN-J?G}YoXP+dNOx^AI-yE;^!c4W2lenT0<+p;f@ZsO<nAHU5=N2(lrBXVzd<TX~V
z@cT&Ybf_QG5X`T+Hq-G-U(E*sPebI3Ph$2h*J;~P9Oy{xL5>)^<A0}EL)Hi|ExZ|H
zojlPYEK17CHtHWxrVtX6<!|R!+nAZmxQ%p~SrPy2Z%~(px61{Fj;OfFB#<wg7P^=I
zOkTEc66BRWQ<%|}!e*EfBC;>Rq5N#<3*`rguoSDyx}z~ZIr+A&3-e2kXY{q#-}`&H
z;SJ99lsity#Bp+5y3S~Vi@7b6NB`dq3W7=v>R$;s1qVp?sWfa-?MGUHLH@gc^c|#f
zd&q_#cY!vJ$L$}P<l2Dx^8;*hYvxeYOfRGIaDkc8%%D7}OC)+PC*b})KYX8Vz0?Ab
zNK@AMn}h^UC=lht_JFD-QjB6>^5W{d{)uF7U3xn7khu~d0=dLbp+kOst>tP^OSXUK
zntR=eE&mi5(T4`m-)OG-_59mr|5Kl-wLoNRW3tu>Lf|^6mDeyJYp6VMp7%;N)?8qS
z8N!^ZatN99yl^9K;*8)q*|618QiX<QC&pG{Cc)6~?^44ud+1?!czVcs$h$oIwuH=9
z1=yV3AkJtW!@L*n(97gs+eCee6sJX+)vG(#tWD#H{YwNL)^wBhKE?1}P1IvU^<zmP
z_WlzSu`>%JEpID^?je7P4^J{6@jQ)VEXT%&Dy$ch^s#tf_W4%oI{dwWdE`NU{ZfWT
z@hLGe?eJ@I43=RtV4eCxiKAcT_y$!Vml#c+w~X6WyOg8+-CF@Rb;*jVkqeQIx|-(%
zs{%Tj`@qZ?5=ld06ZoG`odM3LN71D_odw5NIM1GTkw+u19e(+Q{d~rY=9_o|=7>8d
z`t3E_@ygB;V3@e^4^R!g2?R#Y_xFwuN!K_-%4i@;b9wyuA~BH0!_TU+|9wJAR@M)a
z&w-M3l&rL5G9kqDd>g?3n)18#ZSZ2ZZT8*9c-G@`dzJJ!>9qvzS4&ZQt)V_}^fC#X
z8xWAt8~Z4r97NuP`wSKkw_#CI`9X;Tt}lN$u#-I0*$l9B>fHy8b>1sdJMp880&Gh%
zL0Pv(7<VUpdf>m|;f%xIM?*0!z>V0Uv{ByP4ryUTagC2tqVZsIy?2O>?bUaMhVozj
zsJ~c9Be(F@>q%IKwdkHS<&T%sMm5tTdlk@3PmDgu_kopqT@zXgOS2-(0fXO*@keE;
z<g013et*%?EVIA+!Q19YjUVTaTORKu-VqQ(5l$&F*^ni2huuWssekQ-H7>=*Gn_mj
zb-tKPst__!!F&v>*i78GRFk-p7NDk)Q0Y>C(x1rIj4+<?1n#YUh7jLu^e^RVC0O1e
z&ua~GrgV=}3EcT^6X)L|e(hRTr6EMq#N(|X+cbL*SIiEC1SlPT38Y*aUd!&6AGhv5
z4&Y6wXGICCm9=#haceYznLn&8c7!IN=wBpU!+|evK$zH&a-T;v`5@YY8+on~jMbAf
zR^*3>k10L8!E?vc^pfOg=y99iC%ces6*KK}6b0O0q-;{8w>lNh6bWs=W@ehsFr2=L
zbgRKh8nT_k<lSP&5Mpk0wGvZAF9tYYgiNV;`}kO=;m?s(<_?kOx|hP2`=`+3<Il8p
z&3kv5KRTzC184R>6@b5p)$rPN>y8NR1tj2w0cybLx~?`T(0o~U1YViL2CfdNlSH%;
zg;!9Bn?Ct$jZ%^yZsD6-fg`;cm2XPc(jcNh(2&a)@?phHQovIH+2N9T2!o{4{#sw3
z#!kOFhp*yHi@p0Su|Rtom~#gBlQ5v}S^p#YmkMvOvauN#q=2+ojUU%u9-a@NcX|2Y
zM|g=$E2tVmt)BDti4V_$;Bq5_y@WM(B`4whfa=n2ap+3bfYaN-zo<8qXTRX;(LNJG
zxAy7t=l2kwNIsQA5&RWZrz-fabky|pikG$3&pkg;US3W@>k^GG&^V*ex9ZB6+LN_4
z^d-Z)1j!vDc=U%hJ2TDW*xJUT7SOFE?N0W`;wO8@rI*21O4M-s2^Kamph!~NySvRK
zeGo5#6xLW^v+|Tj6B#$DX30`xJ?<0a>=BmBm*!}!$U<Z>Cd|sZFe3Uo#-^iy*e?$J
z#M~;Jq>3UwOAO74+{zb*i&i>-z^F!-aCq2z`0y7iM|@8u9ml$oTTaN)njyPzr|5c$
z)0Q}uJ=q@zXT6koy{oNsPF&J{F$3ty@<I)!V$kqpWMnS&M(=W;n3?g%AT}&6$i{Y)
zzopS*0&J5HL`;-HuJwlKX#z@PC+*J8MMPB7V>g8kubAz}#7qKQh%ByN^kc}EYX-J|
zmw#~O45QnAiT^8so#>f?7viJd!GGdXTV$v|<K$m)6gXEP?chg)kgyyv%g0$bx#_rC
zSZq6er~VPex;4eNrOv2yqG0|vnrM=J`1MB@>ecBhQ4il%|6mi`gT$@M_aXWI93A_N
zeMMtZ4vnvldz&(pr_5+6)C&nHA+OqZ(gpSR_wOTZve=v37csn$*a38*r6fd9K!RrT
zW$<*c(A$Me#1CX(jhV5oT4qfO<rT#1k^y{Lk=Tac3nC1U4>@K%Fy48rO1>ld-o5IT
zSUvY*Y1}BhOZm$W^h|@#tSL^m)d8idyYiI-Qv62(s)paV&sdJzcuxhTOKIO$yJ*wM
z{nGf$nw;c%)$e2iBa3Q!WY<<*EEnSZXK0pqx`BFd?q*F$T<J*}dDnYN?^rUqQ?LN~
z-s>0D$whJMAVV1lQN38>1z@$pJbZyQaVMg}cf$A6#8iRh?F!vaC>$e}7o=>h)N`lr
zIyyQMlwdF1|7j_`RX!Ke^=oTvc9ZV|<HYLWMPQ_)*tBPiiL;&_h2(-5P2qD|CF52F
zcS75K-)bEmrVrdTx1j7&$$o*lLPXlK<tv+K>!kUsz%Vmun~ZLs4~dD1QA*ZS2bvzi
zKGda7Y(vFE3zf@!Q{dQ6V$9IsfK8?`CC*p~0I4YH6YP>399lTVA6H@}cW2fbe{FIS
zglWX0f9mBQ&z;5F^?#hSs+C%<9N<%qLJkjhy5>E3X}HkmfBMkn9{Gm-*JeNn=*H$n
zn1bHatSyG~?tJ1$6gGF6HlT)4j>}6TUZkx>4jP3+%W-KghTb6<0Ha49cXrr9X5|3>
z-fpqi89aMP^Gs6G2=nR75|N;R$@C@D16vFe)K2{N-RjBnDS1+{^gZ#ez(P*We7!Lr
zk%u>U{udvmMARBVSi_$_T#Pz<yf>64e-9sbqnZvP28cAX#bF{H0lg1(XFr)QpD43m
z?K~AY<#|r)x5*bd8kgAGefLr>$*pncAp^^~HxJLk-{)FJ3YHwz=oce#$!`YBkW}#a
zhG<L1({k9%5K@A%h?Rj+{4p>^E2hpHFz%q~9&LDVlTpAf#>orUPZfcZ9zALNW=kF_
zKBN8c{{KAu%U~T_GNc~RQSE~-sO8iz>VK^im<iA2S*Tr7ZK&SC%kx-7?+brs_7%p+
zOcl`VECN@W3Im7m9zz6f@(NDuEqt*ZhlP#SsF9}ujJ3qxoWPoqbw@;NR-%vke5#!o
zz;pY@*%*onoN!r1gKi!WCu(#tg?qX3_1!d~@QwrHRdu!>xaPja@hE_?6rAn396MZ2
z0DTza5sSO?(Gpt4mk>mWqRxfGpf@!3I<*hntQ5RHmW6BM)nbNv(9`&$N{kcb!3fHS
z&4|3Hl9kzcqfmqJ>_qv_`GPBOxu%RpoqM`jB+vrafcc-_W^e3~!83H|EjU4}j}soM
zl2*%h!t3Bg-fl$n3_QxKJvr&V6^j!#s2E7*oGu7p&)L{0C1+l$R`MU2Z}6s_4CJ56
zyIre3c#_xy=r2ClrkjNPsp(uBZF|;3QZ)CF1|<$P=1sc@442%<Y;TenTtOLBWN{}o
zlX!YTExJ9FE3^EyP^w8=mPf$K%2moGW26eODqONPRd*SUUHJ(O8<iVRo|EYfTwGty
z{A<9lJ;77QW^ga@GJNAoEq<r{({5E51ZUKzUw1G&pVgYLim)+we>X=r#jK{^X;t5U
zvDMy`XX81>CdFl;#w$&WtDN_rIddk@YYd*xy5M#yygL1W#dfqVeQE*U@|C%4+?SAK
z>?{(9v)#bW^s=;atJY<i7fba*)#0=^tk$ki0P``!sJTXs@&iS|Qm%5aKFgYY=n~Sm
z3E8v!-vd70-aiOOjYg2H%iTOY{7`EyLPbsd=O>mH#;Vb>PtRX(oh&ja^{N*OpUH)p
z(QsxR1RAF0fCYs8&?0Evm2KRf<%)oJX~<E4w^Z>hl1HX4wr9^s`T1!w->tJTDV+Ad
zw8RTeEiu9)Os@`Kj`b8%`>2O^E5URofS~)V<uNW55f2T1>HBYAS9VYnvL6)2IuDZY
zzf&@I-b>p~+LI}3{-u!trSdDZh7rOC82L264jc_V<*2=S{dNwN$|L-=rc6*#E!?S9
z7g`G%g95vokY)FOqw49Vh^F;$yfv{)ZlZ^?D;LqjVa0LG;x>7T6kVD)7=b*yAC{iS
zs=Pi2Cg<O8gHxqTWx!yhVk2{xZ278YAy7AnV#wp}+l#G7GKe25cuP`HRNiSd0T^Xj
z91oKMPJ`ObK<r!}qMa@Yge0CYzMPpp7(_0@J-~XVf;atkEi<_0eNN{r?c-`nUy3Zm
zy9u6`kT^Ut8;f!>0h-HGqRGou9Ag(-{&SaE)aGcvH-P>l5VU%cqYic(DWfVW+DXGJ
zI=Q!>%bm8y+)St{+WS17Klk6X`@AFoUDo;gcx#?V4J8U<+U(jVm>K<|3GL~0YdL|r
z2~I}Qo%7oGEaRDzKh5dsW5hz?44Ilb)lO<+Z4X|@37bj^<wWJTe%`KobOHVB2e_lF
zi?#9QG3nn4;13uH_|c$LTKF#L@52+tEi6k;6gX#xT0Qdymw-47Je&d)^cRLuOS>+j
z76-@{yMW?n;1P(=frd;)P;^eKV4I)C!miP@t}z^EixA<C|M!%@%9SSWDp(BzKXk00
zgdw~)#8#CkeXK%YnBbHC@RK~g9KGS%AtFf(`2uFz4;)}2Zf_%Qi`DJC4MIs7w%uX&
zGwMNyZ#+)ByK2RX6#}>_Nfeeb9i7xLHcP^FkO(+!hD+BC2(ds5_K=YzF}HPzBk5Od
zk8UwmLo;SU2}R*~F|%d!=BdmBWjn??aP=J|tcX>sSG#c&9}Z$hKx=~bu{mmJp>VS1
zghIwGd6M2oWG}RN>O;$VLfg-YlI&;XZ<!+sjCkcDP_^@G<{os(FB_&G#xucE=Xya(
zPR_9)p*t_>&ngOjCEsX$x{{=1YgwUtQJD6vO7!F;*^B@oYw76f9OG+mT)+PF55A4B
zK5#ykT)yB|9hj`V7fF5NOI(SfJoYiSy(iO<p!;xg6*YaumMMYsw+LB$Z>58|)ep(D
zxrieghZ}!_0?V7_+2ZBF4L_sfR)&F@<&RRsJhraV4bY?i=(ite9gaba@b?p<f$h4*
zcCx}Z5eZ3jbBh0UEpw(A!omv-B!?7JbcPjaY2;4WUr}1as2@2a-*y&OGk5CfH8s#5
z{sBE&c&0dN!y1F8#2~xbj{EnRD{y`AV&PlBz5l&{Ke~ni0v`u%?(W%3tkgVx*CXu;
z(e@u$ChvXtD7%kz|8LwRW^w1Ee0j)7BPr((MhTL}9=#~m`6iyj6LiWOcZKhdYFhVr
z2wS`Y>BW>4X!4ilO~CcQObWM~czRAkqGKDdzcrFJwQ-9!WK)I9qY~fu6!TTvt&8Z<
z)K#(jB8p}}cZ~T{+1N4Q{ct1Bjnr$g#9lAX%L_hU(j@Pg`RFY#>~wyYKh(K-R{UTW
zHrtkj9z#wu<fQyKv-K=Y46Gu$v&9UQ60srwHQwrrhSGC?Fw<ReoQkm6{`OK<=&M_A
zPyEfzvHd`7i?I<gY)UjJ;J5VBN1@BxNRP!G9GIzYg7CvcJXgiQ(YOtlhn80)>QS<#
z$5!X(8OQ4si`A1W03QzGXi+C|3UUa$8~hP^wXb;&zM&U%b#bB2(irZ1@#HTmC~SU9
zg&a(cfUc$M&N3&o#i<|7c3w6A^zBnm&j2_TV63B>Vu!A{|K{QC`V;$Du%&>=|LyRq
z__L0NT^&gczZ>SX@t6AiDG=?=zx1sxCnSin(y~kt`Hn$TvxjjxE))3*S-6vXM1U90
zlO&M_IKq~C2T!681Fz-tn7XWb+I1I%Ne7;NiJQ#KP}UTbIVvR>S0pjA#AtQD`Rc~r
zrha%rMWS!9VF-)ACUE`znmFykJn?1VDjY`8EKp}K*Z9dBFXOX?NPGlxWAOH)CoTG@
z)6(jNwwl^zj$_L_^eC4YszPqBj{E9f&%(iVj|`&hYto+tB5?y*O<z2TB$-(6@&ATX
z-ELT#q}F%QQLZxlXHop)jn2%65Z-+rGnVrgA6f+G$amgWQ4vu&;5)h;&~3AVGkdiQ
z)gLbOSL$ZXXL({O!tWYyR#9<m4MnA|oybBVyF}t><dD7M^y({Fx4Fpxg`+5m1~AQ<
z7^V}33b8|Bb)xG&#S^)Yk8d<u@U-QvGg^QB`EkujptCaxcGq}z=*q*hTa~w3Ak`>4
z=>ot@MY3X>e5!1}WgBRiI2<<}S>0b$n>D%K%A($_s6*t|1|dx~`L@q^$#jxd{!DZ&
zFU<^^m)&!dZL`H>bvD?RonnVT_v}y>xt^a*Nx@nbC`s*jRb1^FA%&Tq<WtXC^nD>F
zwtOf2{oW{YTbZfUy@Ke3=&Pn%8c?bcTV~mjSkn~$s^WhrzMGvV06*%A6@geU#FU(*
ziR#h*75vI~4C1c{Ow+Gr3p!>NLGD{nLG9a?@}`F7qBhV-E#MFDjRJdxc#Af(p?OJE
z#_6?ZP<HVQQoDO`7&U`TuLcP5!)SAXmSh`Kj9E6DCqM(VxE-4p+zf-M8yR<y#F5Ug
z&cQ7uNS@KkJT^y``YbOA^Y}IA&_m6r)&Ee^g>?8Y&!s9`$0;3(v6~uZle(CjoAZb_
zE~`tY;6he-!NI>lc3UGYU8$L=S51aq9s}72LQqazNr#&}^X_TqS;U2iSYBj$rz!zV
zCp$sz^+Pa0C1_m&Tld^qYpP&RUU!_Bve&ClpJV#**4bIDX+`7fzfQbp9f#463%fX}
zHElU^H?U<FC+8WARz|wl>)U46kO%B^L_MRYIO1y4uNk}3FP)F;pGn2ceWl|u1QpIM
zE(Aoh=ZO>&jW-S34V;&8vv&)*gulKd7Gtf^4}aU*Qm<Z_U)k7lO~2o2opw!Xw3ZnR
zN<RBhsnAR!seB<uf=Fw<V_Ofk8x>|Z-vkwmD&>H3?9PwOmTZ%7dN(Mrozd=B62V7_
z5K%OP;M^>cs{B>;=4@TmtQ|BWk?<d>L(~yYu?RnK>(t}Q{5gmqNrz#Z)`hQoEIlSs
z%ZFc9prK&I`2B{os3nCtGBDfOCGjJ-Kg<VB^6;bVq1EHC4&+87Fds4Bv@&m-|J1h(
zT03~Ki?M;lK%^vyBO;TZ&5B9%8uylhS5R&ziD#ZAc~(fdIU<%jnRQ;expIT~MBOrD
zoQu)lSi@GDpRbXzP*?2e$PIs#@ggik_{gm#j6l0V#n-F+Eopojc06u%U+fDu>D=m0
z$w>f8+?hciEB4&O!*U>yJQaM7rDQD7*0<dVyf=2Obxd%M`Y%gb%DDDaf3R<&)o+3|
z<UflAWi6UeG&9Ynsz5^VzP9#HE@RGP4Eya_LR+_Q-;XVwS)~=uYT~-p8fs0oO27H=
z%nPkf{&Fg4jtH?xS$vfyR=#L?j`(Cm-jwrPmGuJ2Fj^dW7{|+_EkGG0+y<cHf=#Xm
zK0uE~cmj2a>PK$alN=;km)H_4N4xFF1{x_^0f5J<u^Q>cHJO`c!uMw0Zcua#zC@U%
z129VyD2RUTZVoi*fsvyX_aR)xqQq!ZJ@6lXjA#Dnymx><f@!f-@9fz+g<u8*dGEri
zmaskScdJJIiOVSdxcaf05N~`1bPjr$CUKrQvBD<cc_GE%*(Y4!6|riEVu<O#Ayf5@
zf)v=JUW9Yzj}-C4Xn*eh*ZwH3upWAuiKZ0h#8@EkIXM2$r==H3ki_Z-`8QvFe|k^U
zr=RMEW{-5&fcs@)ce_Q?3Ynp_&#6a<;5BA3PW08<|7QHf-P#)`3ibDjwaiB(@E+)6
z($4^T9PDzC5@d-wMH<~On7|EwUVBhEzTwXBRcvN0Agso4)>&$sDP>^Y_vL%}d|=Ud
z4#`T4j5KHXyaz9{{Zb|d=<<0vnxuXp2gnUCpEs2N4RwN;A;aENFVPbfYB=xIkRXm|
z4T+_j-@$YE@OZh+RhxGl%%bdY$HSJm{@qom?&==w784Vr|HFbKaz7$jR;e%(j!+k`
zUVWuCI!s1>q1#_eg762yPf+@?b7a)Eb)a3CksReq?Szcg3l3QTNM7yJCB`-nIMM5;
zoA+L{hR`hv?LOJxS|bNj4~`P|mh)Fo5`FfSTqw6l;;|pvc0|k%aU79d4WCF_xm1*#
zv&MhVWO8b%p{faslr6-s-yZ1?Re+Op@h=XltvtQD;pIa*0i+X{?1eY+`F;aj{x)w<
z8f`VzhqZq0NbbPEEkYd?|LfjHs=QRb{x9SIJr+VtG2We@63}pfbq`ox?Cmh>Z5)YR
zd|37@_`vn`&0APl;H_=A$PJCrcS#TfWoFmo=i^iuXY{6jhp%tI4u65Bih`ss6GQE+
z-oDrEId+X|E=$nJ$DXZ=hPFW*m-lO<QjSURuYW`ZXnUV|w3^wzYqI@rZ52pOR-pKp
zo*is#Q}mpAc&4GX7x1*D*=@^3L0Cb9-D)<agTE~&4SR7?*F07?T#0pR1&k_z+PoXT
zpnL%}&dKO5<iQ%qagY|9`>~~k*z<+OZGM8Ev~B&rKMD_CjsG{8-R{=|Vyxq~jW@nj
zykUcs<u`hYse`s*=|#Bf+^P70HrgPAf7&t7M3v2#$aNCNZyz-OTZ+2ZU>)rZgFX_>
z4JWVUr;ZCF!i856pFoAdJ|HfGml*#%c*8|>nPeizTIfhCLw6!H?z{0)3X2B7_#88X
z<$rcv)C&y%P~CKw_e>L;n2F^Hk7}A{DFH1<cFvM4(y`LFW!lEdR~ai0^7E&_2Gc^m
zXKH?S%A#o5m>?GelctBQhsWX8wQSjJV12DmNJ=tV<;kE?7jcik7wkT5)?KpVKVbru
z`fMX2YBS{pe7Wtb?UiY<9`eRwZrWjh8l%?Vbk!^48^_T6D>R5C;1b)4|BcW==D5_3
zl1yBD2XG5`#L|42YXr3Tzc$<<hp{;UE4q2)1Z{^Tj4LevNwa}*z$J1G0-AXH2e1lU
zzha8_6+T<YsEyjNO+MJE@!u$$*y|q+&%DLSBzGub7PBtj1bE#Ts|j^}fYxe+Tf5ej
z?FcPlT&R(%NE;@BnNdon^l$9njsIVRxN_0T;3^ZAcmbG|tAIQ7LMl|wl-MX}N$4?n
zd8uP}Jl3B;Xyb%0rl`LyS3AYC@f(DvP2XZ+HfNqkdtrrYRMQV7xk~uX7+)z}fQ*f7
zuq+0s(<Z*ZW6duMMd_EQPp;cg=}UXV^7A_ND7~^jpsL?#yXo_{3%u8@O=AQv+35<y
zj*Fq{ut>@fuZVPOY0rBcU5>e-TT;t#+a^bo%hvb5@dXzM=Qe&=?APt~)cAoZ!26Ty
z<gw`3f9laZZN@F9j`)igVwknK@P2ti|6tB)>)DXI(^9NIDZA4fUO&ObLKqAPS+WwX
zaU>{S?fJBnlBexgG%gcc6EYV8{Q{i-{=pj@m&*1$MesZR2QWYN5Y$kdK%Ei*i;v`|
zfipNs7$)6eW~%ecz?;KK;KnJX(^OLMRYFw<Qpu(GfYX3Ui2uL7gaHb&P_Ed2#2Y*e
zl@pm!0o`b5D&560e~g6Rud3^~si^L$mBSZWkrd#0McE7D8!RuMGf?xbpL+qw4>c~l
zUPd<uih(=(KMJ_=P&`2c+Kv@xIuGNndB8zcP&HdzeImuP=NncYRN|;di&H*nM2pl@
zng$QLMv+2*WAB63^@I&d2=x<E0zwK*$Ep7(J<_G^vijf9c|g2oLgb#tKn&)jJ}vOE
zI|5ue49c39L#1Sg@e-M1G_~g{>1<$bLjmlVIk}9aTBjqoRHI(e(^=o?q?Z!%+DiCq
z|Kr|Nee1sikte%l=NoJWhyg`y@k>*LFa#aC_K+m&fO%Zi(DewLtLi74cK;wG0BpLM
zgHBi$U1F@;i5L#7YbWOM^IvsvdXiY^k;N);V<1qLC_KWQY*ipXr8*zNMiEBa?lo62
z+J6i`r87H;`Tkk9u#p?S*~*iiw!gKrzai-u8q6<cBACy433X4H?-}EPXr{xwp6<ry
zG}!#dU^4aj^==II4No7&Z~sQZJ%R9LEg(?ERDZ=^Uh~Aop1SWrmyY@JmhFxDP<=P6
zx?g%$O5q|8zsIw`y<Yi>ug_X{#t2Er|Dvy7S2=X(GsXr>4yp6aA1T-bjP;ULFrizF
zPfrWBHj~{sI3xi?;W<KU$_4bp2Xu%o3*HDZhrS?vcUGCd&+or~YIeN7+pMeq*D`@q
z>7?k#u;v_g%rA}olqBU`b3G)yjjBfWH7(A@2Y$rhwo@RCbhq6**9i()-poR?KwSiu
zB(bGz<S9L&vd!f3kuhE&_ToK-fP$o(w*=WeY7p#$krEHuGbHuUy_P$}34#*(3T1ST
zRO<*>>Vw;iP+3B=+ru@{wFA&%WYaPV+>~VtBtU!NCrA5u6Jf%qr-Om7bvFibwtIsn
zC<r9rq>zn@H*VwPydTWLz+kU92P2<48o_Kd#_X`5^C+vf-LRhUF0fA?3ic(74Y2X6
zNwgxS>eo*MD96@L+vbBDDo~^$h+v}|1;tXs&!xh-gZK2koOYG!ZePK<ZIw%jJaO%W
zr_T%G#XoXEYc{@Al1C!g!<yoi26%la*cMdu^D%=MqluD~^&wr(GZOX2em-@lj7meE
zHcnD55qtmNXSDR;NX%^k6SQ&nKg@NZTac~U6@TPWNg*8r!{ymI9JCX<0v9}X_>E3F
zcjNcz*S(TSb+^ll|7{!09UO6XbN=P|3pHj-Z8<Oyxd`;qIAl3B6PFA@(L+S^f@d>F
zBf<Ti|D%Bk#eMp9&F<n~|E?n>cVa8)m4@M?I`vv9@yAWS^<@`f8UOwrn39dteU$-e
zri9!(*q-|q^a|#&F=F)wk3-TD{KYYLtXZ4u`R@mU%fqz%3~>Y^rXNQQ>dqAu7LFZ1
z1Xaf`vI68KAe6)zTYxX?wjK2P{o6{T0FCs4hJ!CJ5DR+0b-hQ$JXt)od}nSnRb_1n
zaG&i>4%y4`{^6^Q$K3MzeiFyHgX(owIs~G{RX}hHf;Fov69x*-bvc79k>`;l-mzZy
zCO(R4MAMMN;<PGO-5)((ZJdswt0s)UpB?$lU&R03UjIFbboU0wWj`08HEX&3g@c`Y
zYdLHB;1y>MHCOP~%Ny3LNv#U()@H-o#KIoaF_{Gc8R4&KRZPH8qLNg*8|#@p07RBB
zH*klkq6_6(Ar=Nl5!0EM7SG!E$M7jGmu6sPH+bCx0NVLh)fHO_TL_3QgcW|U$dL<|
zf-^x#nwZjtaF|7#vVkK-i*>iF*rQ~_7x*%B%<aPoF$EkXk6Ay2dlB#q%Uwy_RO6(C
zdS${;$pxtel}H`@e^k8(Jl5+QKmN2d94$@BN>o-PDqATMDn)k3Dp|?iLZuWUvXzVq
z*?ZOzNk$0SnIU`c|NC~%_xJn#pV#Yq&g)d?dpyr`f3Eww-s^h9Q&1Hq#7^8c1^x8<
z_67DA`J}xj&)zBmft7{b6(P!KrQVqGt)tMhlaK|=L}rESJVtqmsmiphEcf1gYqSad
zRKd-#x|WyzGYM-$>Wppo^9x{D5CtA)l<;Ycf}zupLOiU4@clR;29@R@-P)`i;Go30
zb}d15s^qnS9-dX==~-%b-Lhttg8uJ=M>#y;ty#A)p70|@d-=eEO=!X<)$_O3j7Sme
z79xTO)OA@e`jrj8Z!8~34iy>t{^n8JOVe!wPYt2HF?9%^E>u2Q06kix9zFg)XChUf
zw-9QidvZpA&kWAgmmXhe<gL&D+)Z|AA~p0FhLVyk{PF-fu#WL&l%sM0$QVcN1k|9C
z`Nq^+-UKzpPBVkm*wsa`>EU%}zD6!B%<64no@}${sktJt%ZFu?^hmy&_UDK5jnq$`
zj2?M1x%Fz);|DCR_!A@f4L-#)>J!c{+1-t#Q-nfV|IC<IGJG<z(&r1gH{w{O4#C5s
zGVrX5>_-<EY>N*qp*Q(jM~hg!lne8u0XN-p@y{C8-8n_cAU=9y3>?WmJ`&4I+H{DV
zau;lQxwO6PB6N6@_YBsdClhMm>|9S_4cC=eGp@PRdG(C4>fC6<!Fxi&HL6;_p09i@
zEgX8mRmxMoFy$#b-XU)2I7e+tv*|IzF1{E=DcXzcY%XF;c3r$mEvwp~nc<Baf$0S(
zv&7cPzjPh3u^fWaYs9swvF;kSE@hH~L2zqW7Y!Y;bnr6hF&1L!nG>S0>fwPTI7m5o
zTrzYQ*cXP|A2@!~h0OLu6HglsG(nH#>!AIuY?-uK1%Ll{BwW7y;bL#$qnVPmZ4W-#
zT9t_{Z7-WQ)6n=Mge*(%(x@29Ea*F0WPG-?-rc^WY^utX2{|1>Y0836#{F>dK@v~k
z$(Spp9kZFxgXxFLJQ!XFo;saGf?^;)40Y~HDA>s~3KL05d@>hw4<vSvq^B>R@6*9s
zNYN?XO7{I8)wJj;p^<sc@*qksL<u2zOk_{VAW!;D3vH}C@tG5W;mPVJYWLB3N2Cjo
z984%QKj+2F3!Q<b)EDgLiD78rf~MZ&nAA0g!I?vL6QUysfT=a4p%dLzZyz6SM15y_
z3`9g-tIuVJOqTfFN*gJr(|5hn_%alw`US9OrEqvT-<O@c-FNGohOb||c1K<Ay=DS8
zydPYswCaM$;Y^+Rr^Kv-V7V|tj3b@p#MGD%R!$L?fEYY_mmbqV^GI@rze0p#>Sg@z
zC*N`uNpu77z>yW;Q%)l-**cc4>3fo?5(l!6RKiw6VPbQ4zj0=?LF%PlEwwkc5FdZ=
z5-NHwa68YeZ*HO#3GpBEJG<qU%wZmdR@PFU)|93Ogx2WJ^vCgK>FqD`7kvP5md|wC
zCNriZ>mSPq3hI7+Awvuhd%4w<>b)77?_8P3iIYY>@vZA+qTJmp!v5;ln;ZkAsXFPe
zd&xxtr_j3x`>b#6ref8zYvH}uEp31`r+K*4^i$vKbfr*@|K@$tCM>m3FL(HVM~eL2
zg(u6FU9xxN)X+Vl9`jf~;r)50&c(P8y3u5CXTJHYXQ{>Pb9vRD%P7|7KreFSoZB}3
zcx~`#B<Cc{(btkj134qZ)SJwzy}{#h$lQO(MW`e`3`D0AfBayP0Ja$*>Np?h?e`vG
zVj-?SNjf|%1{Za8yVpg$Swm0eUc$A82p9{eD4%mSMar=>BA9q4M!=HmEIDYTzS9bM
z`0zK~00b`Wj+fkSrftgh5`$Q!lWQx3@a_77J7(|SF4S~Mu9LKIv_YAS#&dcV*1+je
z%IE>9l$d}q4Tk3*y6Vf`ab&i(E&nvkjIIq#=gV{4aP+yzv*zZ~mD@=#sibaugi~c_
zhcNVAiV$t3KXmQw<@@iv`;tr0RI(v{?j=4MRqFWK8FuoVqf3}T3r${`wbfGyx(u2)
zfUiFN%s+JQLI?>bF$q2IV#9r1Tqtp?sA%S0i{ESPzK>xd3_$xA!s3o?M+txoD(FK8
zwPikuQ;MvAM<y7EaFo+N_`@^bYCG^gZC`<Ez>v_b{KTj)%4;PfH$M2CwMGG{ES@UI
zm9c<p(2)dW8twZoWk+!d6oD;(3|X{$v}^HU^$_?K7~uHTBA(k!(sdQtUKO=o6XxN0
z|G$>2K>PcL6ZZ~re(JHJ3n*i5lb%`3J_~ZKrDp5mOR5S$vz_55^}W0;6Nr5|8UPDv
zfqsGxP@8YbwNB(WZBvI$P{(yoWTL6L`vauNTqRYb;L<<Ls~044S;)2yv#p!1(1nvs
z?9_}I=yE(7%pD&*bR!n796*j}(YzJKJ#>s?oC-u0A`*uh?;?hWc9`H=iu`$y0Px+Z
zd%Ka!UHA*Cdo<3!FLKOC4sCbIv*OlAG55uxDf0!k8{FAEMziS({5QmkM4s}^o4=3J
zYJ_a1EVF2pyx=P+f8#6U_||`#r!DJ{M#%?1xeGih2sraQZLUwd%a{2qm0@k<M>B{)
zb(*?l414m%N)FWITALc0TO%ab{0{_a&T50Wm++bu6j_O~Y=AC&==m}UHZ^>mg<l@k
zaCf)4feWmgL~h{AAi}0^pWY)NSo+DXqepgbqKL9++)i3-jL8#L{$cW6-*T?^VE;)o
zx4$&(#95BAhUl)7q~EkfLVFA9Jm|HM<3i2+r|q$DM*r*%3X?w2XJUg;Tgj(~l2pLQ
z5qsQwb(oIURK(JCB2(ZjSz4LRbLYmRL!8C5AgTZFtEl1IPlr!E0<P;Aea{?Dd6N0P
zb6PFK$SnIHSJ4Nl!8OV>48k`s5!@2Bia+g{Q!gi0FIhs@`1<d?q?7&AmcLMN*L&jw
zy+xE#q8yb?*8Z%Ei`e=faeBvd8Y3}X-;>s80nI$F*mCQm>jv(X%6*tRA?sWXQk40K
z=l{~^B}nY#wm;&SoNMwL4zjvs_6B7jB>e|Z{-p2G@LdfQzu7EE(<VpS+w(G@$k?us
zYdaBh)HUJ0B37P1Zm6<QFUY`Unv)<x8QpNY_QBVzN^j}=myRZ+IZs(-SsW<Ttf$Yp
z8SS{JfX+g0pGtlFbejS<_5ruF%*`|~{<fzQk+(<kzuavP8ak(GumfL#%f$Z&Df@7$
z@R=LO;j|MenxiBf`>bM1lYVmqhq~<U&N{xKAHVhmn(A(hKl)}dn(Hfk4^!{;SyNQL
zfl8Q_NA$Y%!!&M=cV}JWr=w+`Ea%!p<jqd7W!nvUq3EyGqWQ1r@9h+ss#9d+Jg1=9
zjQO35kZJHAywK62++~4Mng~^b%r|5}yeLOFKM2q|r^Hu<M6!S+Nh`@qHF;)uq8Paz
z|MxX|^45no-`yK4b6YAErBbDvs&9@7&;{J>dN^pm4a9=I!rQezmsJ;Suz=TkWrXv{
zIa9y{{zxbI=}w0p;5<nR01WI$Y#L}fp|l)-e6%rc#S{|}*^<#aK|Bd0?iefP=1tVD
zEIgi1-t%cck}iHu48)N*4-)5xvY(q!K`t>2JbHKoo#p&>Z$RS{ra3bsPAW9L6|_%w
zbUvJ4Dx0Yum!a-g7z*JY8+!qeMiyGUOO$7^1@e^9jp)W+CWmoc{2u=fU-N{#`($vI
zM8F>rL-IAF2t|Xh@`Xdkur>vjlR3bTb84X!kSc!oIVD})hVuFvy511Y2=sHG+en9u
zvF?E;W5SK(NPPGeb(=Eqo()MAB`aG_F_KwYQZi2p67jl3EiEjN)!(xTt`&9C*~4%p
zt-XzgGV1c|n4-Os?<bY3DiN`tbE__v|BBNa35v^Oli_D7zW-`FYX(%mGPo>RadFiz
zzz$cai=Wq|_3k=~3|G-RfNJ{5$Q>(7m`-<Evg@yV=Z8?jsykvXvA@}Tu<-g%xZJl&
zfleWYRNH?G&+3m(p*U0|swv2HujtWcMP2Ft)A>xmq~&*j6{$x7R+JyeUEP1`ZimQ6
zreiVbcfA(SH*gbCBeCY-V_-#+i@yUjv!pCftPo=^_;k6C`%BFuGkRtV-MYH)1Q55D
z!}NpiNiTp&)L(4Q*%%4FFD5XJ=Zy1mUL6GSh?6ylUV>Ch8lC$kvGAB*0^oj6NF0WU
z<ON2;mOnq_F>Z&3JNH!{OpQJ7Y-OYdrgigZ^3)lMOJR8+-?<Wt_eY}5W72DuheoAs
z&Aze)6?UchPmhVce*L=U_1TR?9`?iW`U(ASK46DqM8k0#Fq8diNb0F+YFQ%12*%RO
zr~Z|{-0(xHMgPy#*ms5cA)4MA5dCC(*>^oOZMcL<*TrzHx`QZZwUj?<Q2^#u-v=6$
zj&<Yu(#(FjBFCl}EA{ge|JiFIJ-8#TXT~@-ex}FJ_oBGRItgZJBUEyM5IW%eck+2!
zza59jAsaS;sRBxoaz9%(#84MAjI6v*gE;5Lk@kmTt{LB>F(C-x6{zfI)4#Qb;fkPG
zGnQrlKd%Da;Q(6h%;%y~Ny1l-_}PS@AO8wUK*NOHd3n)SAR#RBpHVIRtSLuR4s0KF
zR&&wWLiM;{D>t`cW2gxG9maWQ8kJdK%0wp98OL@h@aFXIlJlPX1`8eoa1T0}Mz{D{
z;uz@|agWQwb33A<vrjSb99l13%#NM1EQbzNWC12(80<4hIuAZXj#7cEtD+%pL6rY4
zQK7zs!|e0CgRz#|HKW7`Q2y!sCM}J-yy`pK1WntBb|u&hCH8UvkCut%8$kJGfXTXn
zBinV17#~b^TH(2oRMeF9l2e5R{1I=LUG<Csj^m}<gskZXniq598b&Q77?wB~gIg0!
zybk7U^_eO8i&AjJ_;%9MKbIvK%0k*ME?|ng*xnzaSE=97F2rmFR^UYGaf~8Zlw!9S
z`O$vfde4|5vUBze7zO^&+2LrsJQ1-H*md>a&s^>AbUTe+<c}2CC)BfPq`qo!K_ji7
z&x7B#iG5YffWON~Jkgcldu4F+XxNDahxD7?Ds_706++<BpK_)2%<A>4#U-uZ=sOop
zov0O&e7J1A`>EdzZ?qa_E4_<z-cgbcV{+(qpTb?5u-8)zvel;yBC6!v;@6WAf--xI
z#-yftU29;5S=V{PrQb2h0ERS3kOXY-U8mNI-a>dH!J%7InVXpHm^{v6PC5+4&G*>#
zW2r&^6CJF+p;7Bxc@6*8*u?A>`TR$z_B{oUAmz%6zUzq5t(A{~=?u-0BZzPz+ST=I
zig)em+&-1O@$s@Fqoalf!d`Syd<Y~F;dlk~&aL{7B{7h`@PQ`-YqH?@ITivDBNKv}
zgG?dDB0Wsmycus^v*16&AF-F7p0nU4OtZ-kwSH^*CKk+JB!TI)`)K_?q{qXFo}G^_
ziY>4U&nW*I4&LvhTZR-G#B%+-$Q?@_@Cj3C=`WZG5*08Ld>ev){5kq8Ev#SoGdXdH
zg@tGlVs6-=S8O@sWUS~Whc>@w(i|Fgqmp-n*(W!B{@M3iZk-0GGDqtcI&l)a8kiJ{
zzB1SH52eHN>cjPA)mA+{J?}zve-=!bm}+IdC=@XaY00ByPB_+UWxp^Rfpj{e?!<oR
zhNiY-A^~-Uuj#B}N~Jv7+cNQBf2HQhyP1#_&7h@;d6r%$M*6wyO9+v7D84x)V7F`v
zE68RiCvE%cSv=WB^v=TYL=%H4Q5CA^+x-||9ZU~}Lp127FG7o-o&oMbae4^T5T(WD
zYV6tQysN_YbhbzWJnby<ZJ@<V!}5kzXdX*DKMz;XRS_Fz^Q%_uomxNdcKfnQ&0F?2
zyyW!o+0MFEF7*RcRzGJW53CP0Zn?X$wPh4`jWU8WV;o9F_VaAYU;Ft2D=cz+Y|*GG
zEzp6|_|sn4ZsbBuLzCXLw?m%nxx&uf;F;Us1to-*wP1Zt<vqva`x0FnVqMEUR}UHb
z-RIt7%Qy1E!Xs7%*i5_?Z4RHfhWL+}o33#(eKqLOa^<oTb)})lx|_1Ncl99KWpkIH
z{^wMEiPW}f57Q30N%0+y1rNE2Qha`9WMsl{Kog>FVne7cwG=H}94|kWejSf3aUPN@
z7dyBI_$_WDkDZPGpXP(24yWoT-XP=kIq>~jcbDR5>C8$?Gzn2S4{XN|vyprN7~#$n
zX5&Lm(qA+@-?txBZmLaG)JlakJvjNngU@-}MuG2=Co8CWm-Tns8W$hgm!TsMfPV*J
z=ft=8gWfz#D)pV=b_+<y{x-6e#(E9Kc`qIPk@n1E?1@#4EY#LvX7&qq{L|m_!q|>P
znfEvVbeI{oHHMh!=U^JBCJsgO|1vr@KLcC3yOwdAs<5J)B({}F!G7rNpADzJ|K<&K
zMS@=DNX452#UHlEw|>HD+m^jvLvxS0xV!KfCrKqr^`G99kQ*~)ZB#Q@<h(fc=rm7s
zU%{qC^d_T>?(Sf6^mk9hyxgCEtSqiJ<4egKD>sgMhJqs%j}m-8a+OO5srMIaZP+Nv
z+A|R)>np)bj?PBb4CF2a(}*d?TzZZtOJzt_usRemOGbC9pP7RK>K`ewZnM3BVTFar
z_F+l95fZt9dQV`53mJeh@s3?B8tkV6lfSo}c2nmK%G(tZGBcO`z2e`6IRNz<VDbJv
z74m2^+=h6u#*BWE4$2&gDj(YQ<;B&D`U;2IdI9R1sL*QQz!5^eJP?pRW{*#6`CTNb
zml5qWWkNYWS>!W&H$J&GvXsvE)yMt#F(&8scA`883f@YqHdn{2WZ^}iZQ6aE@zrDK
zRapqB1t7yyu(n|i#t(UF6I_cT@@tr{0KJm}J;8>4)RQ;q{DS>pLMEwxn;9|-s8G1x
zXJ@Bww?O69!x`;e_@vTUNsMgpfqa-#v3NuxI#40|Ce6Y)mQ<`ah6&Q#TSHll0Mf{p
zBxPWGtKMqPGH!6hTAT0YGDG%`J<L_txjLpA4mk!@8l$<CyZi;8eEg&tI6L!D$VNA2
z9^5$Vi9sTG<~Vr_$*ReVjKrUa6J3Tk$pdv}64@bAz&4-#Y?i^hM9`yAz$+F+p&&eK
z(J1NicuMYk`e9US&S0nc9{QO&$e$>qv}+!d>`C89&Ub$0zvXvF4;{)*n6c~~Fz!EY
zmvBkNzHX2^%Xa)zTSLV~+3>%PvL5}Oc%hJ+Tm6$7L88e1UgSHZwl#n^BbzMlA>?Y%
zag7U4O_v+Yfg}i(71W>7LQTcfoL7$c%#;?^v`7ewUD$n+^PFJcoqhY)F#lIM=qDFn
z3%0HPgR~LHHgzBKhEM7yu~&lVHM1F<pj<UEhy_e&VzAM}6MBqtP_S}W0@133X!GL=
zldYbM1@Rto*&S|*;Atm#2w8V*k3?sDBG#Ljy&i5o82ri#ql9s<tQ)`fy{UogbHlkK
z#UcH{H)+<G_4+Go@_x>sjl_paBJWFb3e2H=+<Ye&qyyWvF2FKYhT<M)$yj>d;Fd{C
z7BdkRsLiWFIQ;aWP<?+FxU0P8wUQJHFZGs9K0Lv~oLpb~QUs*hSMs$ARI*+UItBFG
zSCFN9Kn+b3wzamOfyOn{{nGpa8jb~cwK<4HwZ0TL$u~1~qct!_%+g+Xbyw2u!5gGQ
zn&Pu*lT6$Ozd>tVo6Pf1PGSGx()|J!_tNY!dm_^E6_vz)K8aQ3rpscirdjF@PFtT=
zvF!ih+17nVFV(DBiW&7}{nXJ=2kN>?P7YR+ue2zHRUy13>XH~{&H9C!2Y%2coj7m>
z@1?fd4eXH&RR8hv-|;Y$3>QAbdQQzPHt7(2wJ)6-U=gRO4H7gB*Ton9{QQ4>MbUx7
z)93XC1XstAydR+z?CK_Gl}GrG_-o|Jp@}nU&Zy|Ivf%Qi+DZuz0NzTwJyL=h%XwZx
za~9ljA7frQoKL#03`Bsekz>KTGO#k`<ftx2Shah98hKNf(=hZh9M$bQN@f-y=t7Q*
zxYhY5`o8A00tFIsbihw^Z=zRjOo<ewFJHdwV=NCnol0O`?)1d=Tb1<&cM6-FC5cEE
zah}Hn3@9>2V$?ZQKdzItr2}z^XB-#5Utm1>APp(f8-yo)92#F`SvY)a8(Vz4`%!mo
zyOm6L;fm_ux|P1?7Z{$SZk(YpH~&E(jLTmh(|#yam=+}Pd!e&45z?oN5+@xI!QdxX
zAsCU?4v`~`Kl<3GF`XARlMKkZwz1+f_c6o-Vg38Ni8qF14E3?t@R-qtR3em!POi1<
z)>VAI#FZ3J-A1AiprIj&eP3XIFnY3QEydUCVYIpQbIy09o9X^7l}nv}%lHg)u7ZaD
zO2#n`pdn8RsUBD`<jQ-gXE7H%aoKJoq`|3z_KrwkNCdV?dx3ERkFh;?1HwQMxN_tu
ze#Tibh_LuQD=c-|pu<Se6erQSWNER!o9gAuHK!6@oUy!v@C<)Q@8$BId&!l0Wc>u*
zFH%aKv;FeQ3e5k3H1VrXIqo$7Ok=iQyCdWuiw>yg9_0443Ny<NyD)Lf=Z}G(XXejr
z^H{Yfw_k9n1<Z_(ZlMdmDJ1?;8C~+3`bZJ<l@{6FL~s+xtE2r_a~7s7RP+l7eLURO
z3rq}JxLvW{gueA<lcRe%4<Boo@XF$Ze!khIv=y|KK}$c{&d-#R?4y|Kt7La-?>$Dk
zKW_%rbs`5-rWTZEBGyratu=-d&PW~BllEE6nso6OWlIz~COC5LODT=4v`;jJdNBeQ
zQph|PO3TTGh?XHl0Ii~|De!rU#)vRX&Yt&vou1)EwYTXmiVm=1ZwDZO`XeVOl;y8K
z(r?9U;2hW-&kwIhC>61vAoc&#{0oFC{B&;^u#~?OgU^RmPUcN;*E-y*Qp?K=rV*z$
zzte$U@kQPH>*bv5@o#8rZ`%wP>*ti{fOjJBI-bb<T9e-wU)f)&s2mO5^SEW|)vM7r
z*~SD57<NgDZ*l-bBNYWqTK`Q6`i+EXpdrp>81bX=xNBxJucz!(!|mQp9w^UfW3E7}
zSwJ2{Ax92#YEV@}e@u>GyMrRcW*wFi%yio$b!3m-=L~;!z(}Xl>skJPU$QTQ!iS?z
zkNOnvt>-7|Map8;;=$M+rP-y=BVBR-2a~vWU_QJ6Qfd=;rDv)~Bk(Z^Ip(3(?Cf~h
z*#hobV8IzI6k}Hxu%gMYK0aiD1b~)5X?IhHY0Nf;-QudGSM>NAE&EazUXYqJ1I4lP
zaK~BG?IaP_r>%!Wab=C>+Y#2Swv;fNm<6TpHd9>O85;^`uQ6|?+4|zX=d@~2iAsn<
z;42@VkN{uZ`|BSxwv99uINAsC8~CcZGQY`nT*$Z-c>LoZh3^I13nS7&lLfun-dec3
zHr?DhPt-JT>|x%*a4u25YBEq<+Rdg$;+_>&;f>4qYpT_b&LLYc&`=iZXHuFX>aD;E
z1(KN1x?`xD;x(PtyQ%V*bfdf!YUlYIb+JK5|4IXVt0aY9=j?IHY*yOqkK<=U?v4NB
zyM+I(Q(DMznDCkmO_I=je?{6(__@~F#rU`GiBt~|hN$&|SLb{`c7vQ&$;Za)I7fqp
zoOh8J&|<V8!?x&(<PPM%_I8!!QsQ9&!KDNuP`6Tpl%YPYCn&r@)Jd@B?>6<tW4%_g
zvmZ#`Ol$1k`l<h_JmqnEz-7<yQ)?w6rw4}y_pkPG%LbJMs@OqC&y?<YYqzO6Lc>pk
z`70m#os*5;J4f#lrKJm!WL~i@-tXq-!+#BvfWTUx?fEO{#jxl6Seq_{#PW=B7+iGA
z11h+dz&a_0JB-T^+`87x#!%XWs;IaZ{_o9OHxus;xla1&?zUdoN|6?BjrhXzx@>Jv
zYP+?H!HNQnHfA_C)qv+duf#bVJ65{OUn-oj9ya<UY|?UfWf@Ci?h>~UL>TU_Pd8Ub
zN>R&1i00?PJ&kQM2Qv#r>8{N{-WE8sVcxML>-;u~_|?6NH{#eMwxPF91T>*Pu(;}P
z01KYZBl420t2ym3n}i_$m#T1DQ)E2aAGptck`iv69c*0039?eOn7|BnvfmMbx6*%p
zt)ZyD`uiZyH6GUJdr|(G`X>GynV%9WVwVr^Uu+QlX}6d%X}XvcCC|XQT-@L)xoOjV
z9%@9?qhbZiog^_%7p^A2$IXUN$W`FrJyEy7{1pu}_8uBZfCuL@5#IWRNUOk+@7CJ8
zYnSex;D0g^K5!8ns<x<As8)IKkA)}yLy4u;5xJ95pRwoR_sBzDk#Fn{S^^Wg2Oe+X
z6QEMJ9%3^l*j>}VIyVpRu9qfXgU{~O2u}<CoO1E&_L1hCEZYhF%rr#=k7lN=D{|y_
z{}=>lHz+-Q_-dh(qj@+_%=Vii+uruA$JR81F*dX_Pp1aW*x?|RmNrUM#HegnOX9P$
zjJd82<0H0=f|!4^$pNf*8e*t8^!nrd@#U7Gowh3xHZQq;+RNK1G+_ke<~ZtS+io8n
z#R^rjeqk+6$;dE|89P^G!iN2(VChLLYjd;00JaY5NeXJ&51r(Y;J$-iq1SE+YN$JF
zf09Cl8U6d2lYm<M(CH~6*u&5<vLQk3*1*#3eTK+rj-Mej?!w~mfY~L_;XIi-xuPrU
z&H`X1GXLiU7{$FvYxxxB!|NQrDlyY<SqaaZtHADX|E~IC`a*mfU9#$O^ZWQ+Uqdf0
zK2BVZXVx`J-23lzaR(g#5$?NbQi2s^a}&uWA$PD!)J6(#H4`b(#Lcc(d9*RoGuiUW
zG?5Nqq?vwvSBcfwZimnS+t#IUlvBOPf5T~jY0kV;N(jENKxh&S6XyY(a02Yh&XpfU
ztHj2-y3Y-}XUg8_td?mewn7t;{(#2@*Vu9!<dXK>YsGH&@*$)yTm+8M%Ev|t-%M36
zSv>rL&|<=9Ljv|OYT@=$e&9|5s}bMPlRWo0A)mB!W4o}eC{GSkV!Zc8Dk`?O8m(F<
z&_u?16SacG&{|4MqCs{j+mY^sAhp9Sl2^YBxb2PVbEg^CX};&nW}5^WHow#mc<D*|
zIDXDg4+&y9Sd>%hzjSTv&97sGddWWTG!{815zR~1G8int{pQng)9K%d!bJqGZgS*s
zzj>ocDE+e|NhUF~Kii)$ZXl@QvFVO{mu%y0W><bBXA9WvyKpHYqB?}b_&g2OceT1w
zSVW^RB922ac_WaSBCfsu?4^O}K>j0o&J*RYCj_H@jQ$uewd$kJ@w2<^QJE>o!n9sS
z4k<s;5D)0@h-McU!vX%`{*Xe^-YN@BoiPe}1EtstRayXF&XMr9IOZ$j>c4vz-ZFoj
z9|MdWC`=9^UXL$&J`zR9Zp>^e=w_?Tz|ccSy21OL?EAS|aHTKh)azIFqUQRYzV31D
zYs8hj3XEhuprOIkf262(uXCB%v~Al<5X<P1lS>)Q?IQrA-J5SjLH`_rjKj))9f1BX
zkQknmUWkT97I(jcz7xGR_0=o*Ipr>sXalshABtxK!#SL$f8L_4L(GHMErv=qH?@H0
z9pZhKXVsI(ejo1VvkFts+o4Z57oc&ME=vPGjF&6Ng-xVvS+^LeJI|l(BD;goOQs3v
z5y&EYk26Fg|Lv!}8TR4uZ(#Em?j#yiq!TUzcLm9{s9%-ai#YArx$~sOp?R+Nji1hR
z+IhYU%X<2c%5mvQt0|q<zl7l#^R8f|6oprJh|i^z{WC7#s=ag9&08M>|EUn#QDco<
z!{g4G?ibEK5gV(2wSBFm&ovCMSI9I=;Ndo4Qn|WdQtu(#X?2?2LR35eJMdXqXLbZ~
z5#+gWg)vQHYtlPBW7c9;p&`h6VD($|=%JV8_-$KGQdCH%hGzJO$l%&S#N6*cep6g~
z8+=l@HcB(XvsgA(<!YXq_*wJwaP|1IhkIj|*&DT{qtLafHDQAys4>9@cSDJWx;Zu%
z(0aXddsaCprchBOWX5mabazC_TqBj<QY1FBN<qCOy3Y(`U&t#f7+B~BXJYmo-$=1}
z8T&;4Ib(Cc%j%m#JvXevbB-M>jrUJg4r44V5}6D(LJS=yKjHcq3rzAP@Z<4hYW~9T
zt3*$#2gHf2%1CA_@C@ac{Su~Dj~k`q)f#3DF&<N@K|&<MjHvL@?e<FHosC|>*F$uE
zfz<D>m}2vA9721W4US6#n~uiSGmb8@9QMF(EFVb-3i>rxELWgk&nRM7*Rq03Q3lKc
z@yhhtes>dz)O=N!L9bISu$57i6HJ6J;h<!B@^$xEe4bqVEx~NJgG9eQJ{|(sOl|wn
z5M%kFH$vB6TzcoL64AlSu}#){Y_Mn1az$0R*I0siy*tx8a&eO6BEXLcGtq09>2@Ip
zhJk$1iFW|*l7|t9rlCll%-$-~pDCX~&YS=ilsh7-@ukqXS%B@o8`7o02AgK|@ZNXs
z+GSCdBTlodiHIWYZRiT{1;^@}2oDE9Gf~Oi){Czt1r6BCW-N&e(XASG)MD%y(N;SY
z2pXA$$2Ko;0(-B8{w|9N;nv%=0wXY9sr8@8nERPy8E12-m1Fo4xbnkNPuz!O)JP9h
ziqN^>R{|JIMKqb-{AH*marMDs`;@SCv-5OL8e{%>FRdK-VHXwP!G)h)6FUKPPZ}A4
zVU5{C)5#88k1Vp{_~^9te^3%W+W&pQ+o$Gr$wu(M|9NOVL){o<`5bwQ$8h&|t$xK4
z<O%dgXjYHEayL*?e_$l7=FU*W5v+-11x^G~Sx*i&D1_Vg?oX}ef`5|CU=y}b$pnDD
z30{D<mxHKaal4fXD?~ubt2SZV^x=^ExozPG_-`{o&~b9c@BrPls|a_Yl_raXRWeP&
z2>A8%Yy_j?Wse*{!g-JaJwEP6p{O0}mf<;JrxY-rU8@q&{o@h$MbE$Ebj!_FE;>yG
zkcYg3XY$lEx;XyQ47}0IrUq~o6=PW@;nm`zl%gdP5si0zBBaiUu$IJffUy1Ya*B5x
zc72_`wKt54Y8A@BO)B{AdRzc$53L(E3`||mugCnPkPVLJf8YHrlSdc6m^RCUYe_bG
z7cE_1*J+$4?u4c8<wI~{R&sT%>CoJ`mHzI0AeH;6>46+Y+!H#Ei#W-h)Dt>!H>`{%
zy5!8e?gAlJ0TEhTise`VudJpPN6_+hE?G;>d?8zo#zA7p;%rtlHNuq@EP2%{zn^Tx
zAmBObtHE^QI?A6v3k*M!U887dGWhZ@@U*=kLb%rx4GC%9_S7dbOj=c;#xXeQA!%3#
zgDLOS*b9(H1R3jwJSoL4uK`OHp6IQ%1QhS;{55n>n)2<fAscp^S~h9RJ4#j?;3@Z<
zH^iwIElHG=v|vtT8|eQmp>d<9Q9W+u&X_h$-#*a(V1k7{dM;1e&O3;R*B5Ow7Q7>7
zcK~Vf{D$@4`ah;}57d}(f*nLFVWoB1!zq5H5)w`U)3(qe^kX(}zP&rEdoA`!&G2{O
z`h_!=JsB4J^3TU4tZ3a15R?A1`W<^)m_OQ+0;<n*s$dU~CMTK653oSzT1%r1ksM#h
zXQLeRJ}<Jzl&oIBI)}b!m(t(ar(3u0Pk$Tkv<U5v;<eQW7~gY)?NE9HE1IO47He1$
z&E@~)julkX2A`_u56!D4o{u*75Ntx(E;mNx#6?IDTlg3#!(^=mK^=8&c?S$H(QMr+
zUmYkcGs9cDhv{!aC;noVjI|Y&)5`1tXc9luvHieIv_3uV{*i`6A)ZBsrID|wwQ^Y&
z=*zniy8V1*d8RN$w`}KW>=sqo7^jm5OC3ETTS238Loj#zbM$y`1qUu?fd^$Oxmdw4
z^`8Q=ERZkA|DA|sPr&9aKka+p6TX}-Bid3E%KV$gs>I|;&b-wA9YiBaS{rG&eB$L=
zaiHbCGy%<u|F7b2UkZ+_*W`fe^8%YbT$8<vbwA=lO~I9q?w07hFsa=NmCMM{?Qb&`
zMCVqUnamkwB+aJI4y0Czp72bGq;mWQw+O-Vusz9oei6NQ8Sb)f9AiQ1wFh;)25@J*
zK>A#c;~$Dku^;Dg@ixbpz!zVG&WncTo;7*UtTyQYdTXwu;UFPb=M?g_ckbMEWO>)F
z8rwf-PT%|Wuyh`Kc9t*I#v^-P-^<M!+sM-s(K7}S%e$H^gp;JrD>wqx3=uRC;`ir1
z{aUD5NG=_@m}HTGhCg$P$Rm3lf=uEqP7w<~L`I<-@m^P7raS29?$qyqxc!m7<13wK
zul7XMQg(2OZXv(x!v3wr0^+H)jCRrk{$JVJdI46(WaY#`4{!{6kh|r9KKuqB{Wrc-
zO@A+2rC^l&OpMpyrt1mNS?M*g;pIfUM=$0i+@>==IZ}j$O*RfrX&ui`K&}=eo|;h5
zB|Brf0x^R;W7YFRj|g<N`HnrP)?`u5q?;de84W+OiSQtmGTUb6O`pGVf~uZLj?y%C
zsrz9hWV`(h#=YHT!Kx+Jw&!xZ)J!EsT80*<j`yF^4|{rBOX6bh&5>tvuwj#pyyjt6
z0M?b}tGkGSi6rW>f|XaAmwrDvKPxnncL@22X&HTT)VkCCwWWV}$LnVxB(n*o$~hlf
zDvSPgdiKU-=#@+N4KrNf7^DajUb_ZRy$Y1Y#4W^fXy}K(h57=p`iM(6O(4}zSZ%`_
z=H#TmK#)r)g_-r1NDD=99Vzun3-uH%?A>mQD1(uoUxWaklTw^^=f~H6bIa$=5NH8*
zg>PlptNnWkK6$yz9$ij=RlX-#Y(46GI6ZH2g6*_b|1$NBVSb%1v!9Oh@Bg}^a{gWv
z&2HxoEWrbM&s$oI9Xvinj}4k3LH@DHlj>L7MXqQ-PZ`5V(Y{gF2Cd)G|6mi$!^Vc@
zQ6Uw;6IK=82sIc}EjqOK3r0_}8#BPe!y~uvJK1t{6fsPvNzTFQ%k&Dy5hT~--)%?J
z9R<PBV*!}KafDV*+0F&TH#)cVSTXPfUg3+~vcohLx6A(qX}732JVwdG6BtVV`G<CK
zv3UB`7<<e_U)ajlTBdDk7AuLVK0b{l-7?$g9wp4#UZ!|>m8(fgrb$~E8NMSzTnUNI
z&0dUZH=gckLjM}Q+01r0yYE|*vUT;%of>E3?jLG;-DN?+Pbzax;+pE>nb$fSDJ>k(
zMy`k*(G8=||Gg~I{?fGVIX6_Z)fqie4&jrR3VXU#6DA_<6^w?=MG!LZj=eTn=YmW`
zc*BW;MDJnST3aG(s&HbmuGJ~T{;+@Q*4_ab+T0AUV8idWk>7oXNl$<db^^y{R)+f4
z!dF`vd>mOdI>E4l$e<dMh0SCUK%5^@TGC!#!P>zx>|XnOfVhH-gyud!Zvy7m15srG
z4-=kiwt7&1X%T>A+w&>?N91P_(-$=A-H1Ex>#jc*!h!=*-$=4BFdR;A28z#(Cwj76
zM5@J3t(Vf)kU^^)^*QN!%D9U)r{s+8We+NwMr>an6|<v{XMcwN+;q>CrYPzu43WA|
z`Woe{s3=;|o=ui#gNEd+Z~%A#i|*QBBZ*WO!i~&?de#>C5LqB@Yn#<M0N=OGGqh&X
zC_KZtD`4{!Uce-R*J9P53ijfIhXoJ#mvOh9r+#FNUbM&RYOFjL_)QDck;(p?leYww
zBO)3FO)UYj#d?3X7_QKmv_32OzwiFBu}PkRQ<}{Tlv%x#V`L*4kb;PgX%MG9lgWfI
zbMb){Ae)P+Si)H|{jC-BG}<)cYbeDEl@_nTT;J?{p%gRRG<3J0_wRhIp$Yj*IaTSn
zw(6T2RFB)mzrN4xAtrKu9^q*58^Ze;-Vpj9EpgY65h&nCcbT5q`&&*2U(Q`Yn$2XJ
z7;<+S=eq~Y>M#!K-ANL8+slhLyVG0C-Tf~{QFTBO)>V#34<HNo>@4UZ845rwTB~`4
zmu%?_Q<ca}DDglz(2H2wLcCzYaFkLM5=BiDfDy;9@BJQ3Z=VlXe_NaKynNeyg%n>i
z>G>(V9C%z;IUe0IZO147bq0Dm>nNwL#NXhBF(MS-NXY;_E(<xb(UYhY+vyEi%%;#u
zIW3M|*t}^|mc2X|q9Y;yyY)%3GU8U(U#s5}g);K$b4Mf+W)vfz5)gsXp=H5Ebo}Zj
z>~iBw?^M1m=XA_AK?<$*L<3aD^za$h4hf3{)ya^!Duq8GnYj*g_afch;g+cH*MWR<
zr)k82kO|u67Mt=#;$esWA^L{c1vdf7vu9~rN`Z`ri3R}JwS}gaBwTNEcxI7rjWgDb
z!QKxAC`e@7j2Gxis(wIvGx8i&uChZG$?&}Mr}nnui*G}$S$eW%4(N@UxE>aM4dEe)
zrZ*g!flA~U$$UWSteSz?JA0I6xv=nENB`7OE)!|*U-YLgLjy);1Q(vsjEVbgd}QD~
zFsXh4lNpJXWH{YR!bAQ#c;=cHg9!9*`0ZjXpV|9JLTeG3{qf+^ycyasR_Om34nCT0
zfKXiV)u{m+3x^yZ4grEc;QKF!y?a>5ryX6@53_ZYomxd_x0QJ+?Dl<R9`)SmL}uBK
z=3n*mPZpKCLmt@c4L;@=SNX@+myh*}sjK7}Zw>Yf+*v$B0WRB_toHNiu5#o!<`unL
zLSSUk^U8(!!dL(zui@yz15>VT5VRTyxc!Wzj<Gb$Fv)X*Jpplt?l0FWp|37CdiV!Y
zOQL%SRj!>dBNk}fMW5AAA(1eS#O#~39si#hXE*>r7@U4HtrZn^4CY8jyhN~HN>R?U
zQtn(m8b`>kWTY>@vI#+YRaW#tn$2rEkJ<4q&+f4r%g|mfxcqbkx&e7c*>K_PbSE9P
zjR%?oh5IGCl1_?kQ#};gIPqpfu3Fk{W~>Xao<EIXHr|M?CylP}(I9i8hFPi7zXx4H
zh>v&b+2f86%1PEJ!B)UdD>*^Qe53TZaT7neg%<n7R(2dfDydHW?~=@Y*RSCV;T5C|
z@4y0iz$`P1jKltCexBuvH{NfH$hnlc+1;56rZ>(-<q2D+I@Bj+)p0%lF*MYrNz#rm
zk$lBfo3NPIl4o1HSW(}#rM2C4mcSO9$8FF-cVm=QiZO+Rg6IRx^L9n#ODz^`pe#5H
zSsP!qF&%tcMS#@Y$)+lVz!==wHE8<|ps&i1LL!$zAkjob12m?eKozlh&Z;%FfMzYG
z<L)G_H{DL(eRKjwi0^-)b0X1e1oM-xnDg?D2sPrG+PO1KbT6fYG5lDt6n3((@+{@a
zOou1iOWs=cs!dt>b8^nKJjGW`@uCdEBM2q7edZZsPL>&@sl?hDcOclJ_9MKWQRvN}
z<lUjkLh(4im)G#_1x#ytpk`(`L(K(SpITuyAPe~9ew`=^gTJ_IVb~Br!s)HmBZj4?
zPq*HFy*GI(rj!*>|M3IdHL(gjXrTRGG1<q;<FRryH2!a{92NOao%aqf+u^S_$ibm3
z>rDqJLiQl@GqlqfT$h8^j&XOATCe*p@H>}|tMlD-4+g2(P99FqZ~Zy~4Qor3#7|}L
z+Sa(0V9a2+rhb~YkDZV2D%p@ZZ6)M)(oks*t(N*QE?PBtMv_il>-bxBlbWaGX&h}j
z#c%4SBomfYN*L634mLFb@{%P<HmzuPH<Cy~_2rO+2ia?~9_^8@KhC;QL&$Vu<h9sB
zp1g_ejQ81;e)oy$ckWxf7nR$>^Uqdl<grxkD({${HsfhM8|lmeU!FBb>CvWMlv}cd
zWLrFk+k#%1uN3KzQup@Z94W=zCb{vz-fVGZ5A*Z$%UAuH;i5G585SB&Epg#<+0Lli
zb<VBp*0;dF^FJhM9;zL@XeTE#$ct4VEq9#p2Rsgph;;R{0j+#GwhRzdR=Zl;jTb3p
zpV#s9D!sef6TTtb%k?3|2G$Fw)==6wOdsyz%Wi%HGU4EOv%rke7c*?VAFR1Id#t}b
z>P6kL04d)y)*A?=R_x8tAPRYVjPxS3wk(jtW(YiJnntg2i4wtPka~X$Wq2j5<^6RI
zg6jYRsTy!iBRX|RBIPcVYzo_>9Re^~zpgDD^AhJP?eba~WV<9H7AvUmfA%_vU&G4T
z?2)|QX9qTGWs;*n5m$#0@#utgxS4Ir7Jd1n+xn!tEd2@q&E^iessH`v)fr!I<-)#}
zF_FQ<4Tr*#RZj6`WWbYls7+K*ps!D2h^==qZ>nBx9MbX<x`Frwc?)mPxK1_QJd)>c
z@w<ATTXYz)`(g{&w_OL@p+Kvh8%Asxr)J(MP3$c$=H@?jd0xy<OH}>t4JF1ot+6}S
zk5Po<4wrT-*+lW%o}%S>q=&&#@NW$?aemmNnv=f-!z1mvD{xzp^d&;MAbwzV@fmgq
ziK7$JjrJy4ewa@T=cPjg68uG1-z_B)k~n|-R1yS2B@oEe<|c>%NcNU0Y9JI(9UD*&
zq;+LPS<g|+mk<oocORka63x#0i#pm7pzZW4uP5sbD5GLWeK(XT%gM_0hZ^+6&Dpbl
z>SS{n{CmfEO;t!#gWp`wgMkOE$C-Myb7daHtu_psV>k5UPP<bR!=s*c)AHB~9A{V>
z8U;D?4M|DK)iLrn5quzOIJn{_pq!-oD!lg!{S3fDtEiXZQjyr_3>8(zT37okp2N0x
z%uh1w{rl!9kvSld>5&IqAoJ@C8~MeejOdNrWzUi}y=*qPDiGU{@EA)k_&<wi?1pd_
zs5F@yCk>c?7CRJ()rxQ6%Au#dHIsYR$hi40_Q!DB$o+2EzHi^}X(vYhk;f;+$aPKJ
zqsdN{MC=A#(Op^Rv7ly58D*$wJM*kHX3Ee6Uqr6gzOKI8f4?KvXtWSJ>mG^Ko-DCu
zS@G|1v2S2l=dxw<79a13N{)yn%WDA)Sw?zS3)GxGxeI4-y?h{($q5{>*EEId2|A~W
zukE{NhH992mvW!YLX`2w0ZHk-HeB2%?RH9@ZQ#E)OuTKJDzjwAAztCRF|iG?lfhMZ
zkhBjM3mnT2=ZCFBaWEEGxB3eHg!H+#<gec%(U6qdI0MHlE#0YBSXr`P1MJ%{_2y(p
z$~MZVe9o&h9ioj@yVEb^=ownbpr2kCv3&YSvx55bH4v`lRNs{Ox|5Dn_>LSvEf-Pi
zzV*7nORA=jCJJFdnn`OD=hpQYae!08Ms|d@V+>-h8zBrDjUOCgv``=kcN_<3enn_E
zx$ix>iFKg#`?|A6W7oF-@A7X?#*L9mb$tHxMGcNk<lVW*Isfs>_ONkSFFNTXtac{X
zCIlL!FFoZS_WtHlNnw=;_c$Rbxl;kaPUvtd&9-fs^`=I~gMoP;-AZ0-xjjqI-4;Ak
z92f!WLq!v7kZy>@B5Q(d&&W!s%5n-*^$~u(hIuO}loya5$~R@2j!c@9DxLYr{rCI`
z5bol^(>W%2pbBUH93HQCL^ynlZ>Ii`584sgY;}X4@{+@>hQZyBML0X|7rMRCw5~Cf
zZ`-Nq|H84E?~TJL)68$JcBWk0t@kJQz7XEEi^cJMPwdSIy?H@$M-gBAX#l1EqD0KU
zMGVPDetF@WZ5;V$<=UN*I9&I2&>SKyGOFuAoO?CtrbKK+>4+L7sj9)LVPHWms~7Fg
zOlxTY)U6!~#37B|DF6j6$b6T8)VXtkNi9H%WD$&fgJfd)NaxKwjSYcL`eeyMB77<U
z+s0>Y(%NUAp2)$y5u)uHenfQ>Wt7IdyPT;OGn{gaaX>|>dVBHC5WR&e*>d2)cjNeQ
zPUvL5b{<$g4x*SeuEr^Gm0{f!3SHwJ-XZL}34XSV1aPo_SwoqrF=r==5t3U<_NK<w
zo`Cl!m3IN1ip&dh0cpEV^S^#Q9^G2mho6zWJj&38jLa44INroP7Id8an#)P{4=n)|
z>^g0Idl;`%-}3$TPO`X}VA)*%;=x0+XTqwmmd6%m$V<#>MK2{K0paK*Xf0)X7+-4Z
zkm#zOgZy>ucMEIDB0+wMA|4gOV*WI7FA>x%y&Z>wAnF*GKKCq>F{R$gv?YtTq!jRw
zp_3A(htC=oEg!rzW_I*fG>7Kglg&|Ra<DdiP4(dSie=U7VUhKDDs?P5s^@+la4zws
z3;VS!cTwi64^vP|rTkdIFOIF{LmtjO5JUZp=(x}HgczdTH`8_lsZpArg&pb}uOcXV
zn~2>C^FqeZ`V&Brgc-%>iQ-4_BO9g*mZsH?s%6C2R&}l3>9U1}`L;#{EHP&s1S&O1
zhj)S|qIP>T1V3M4HA<Mtv>a42-+JlnFJ#W$$tQ~V7LKySFLf3<fwxsPwC~m@rka)L
zNdyY*#gyrwSkGUkXB2xO%JQ>1Fk-9zn6!i0=X;GrnPtKb9XYp7T>C7FfRpNE4E*K#
zZj$5OR(mUvwyDM@A9{Pwb-PIMQ<Pb{*6QY11;#lj+Y)%9YT7^By&gwwqte3t6?z4m
z+W!e8B151V;e=r&^z2iogcQtOm-dk_yC`@rmnSDWj7`tnBa@_`!4lcbCH412cUe~e
z?_3V<ehDJ-hDQA{Y0bGcEvja=b&&J?MEP$C>&FR0{||PP8y*?~YCVYJ)3{cL_+_C(
zsu6i`p_Lg}+_pvf))Q}}zO+g;I10U4!%W5iH7%JSDtBo6hE2ph+?KUQ8cNqN<+waz
z@SPdh4GMQcH6+w5&il(ob8G2ytP4!WvOs_=2I^$Sd(&s^FaxUUSA`$!vpeBq|D?DO
zN+uH#uP6P1O5O?35Pz*(N9kb3b(du-W&$cH2;EkP^<=RB!*VbQO^03^&;_1B%snDv
z{or`QZ{A{NuH17u0rC1f-87>t^(2~stc~RINIhw!ez}gacsAt~#kSCC^IZHD8JRt|
zXA~CU@9Gyc3~`uV;NI-%vCDbu7G|dPNl4n1Bq=eg*#0|B=nO7}2voR(O&?aqQf+gI
zs_Bt#Vla}Ld~7*PCF8cIcA^BEl~-S<;Mh<GLidMXHw#zbr9I?Vi=KQzh>6%t7Q?s?
zOjXzrqLNnuqV6zX&6ML-x{m%oj=5rFoDEX6L_R*DM4}+}8b@M9&|2nrPgg-eI&QV4
zL_L$x-spN<`+y(2$Zh(J-aZLt=J4PMG&a(xUhp5=yD>z*$JhHU^t2+tzTWBOlXnLs
z(u(|q`rd#NO@0`5s=3c=<3{&W+jp&H5}0S`oNAJaQb>2LXS*|B(p6(xuaxaqJY#LY
zj%MNx{FVO_v-3`d@CYVT1%I5YY9;~@;>Ay&8Odp%MZUZbZiZ1ld;|B*zh7DR{$O8t
zs$O|X3$EV6>%cq+7J~%;Ry(a<zkU%tFYTQJd-mw(7e+}pye9^$_~<|}=YpRnBF*3b
zE4*zvXsAjgYCBkE)XC_Ww?bA`LsVqrAe?iVQ?%<T)+@@+XoOnqabHUrRgnAI`+`N~
zYI(V$VA<pH%=qb(W)(Yr+KxYQXpVfUD{m}jAdu`P8ObvY(0=r<)<4ytmCVO&fKMtd
zG$F}FCcS>WF?QImqqIdKJBiPv<y2~xEk>96`R_E3h_Q5Xs971AyJhDMi_0-%1`#BQ
zyfkG6E%PQSg-G;HYWCTNbpsE3-wv*=CB6Y9AL5ntckP(rz4_q5&le)N{55<xP<aS`
zpJ`Ox-gX_}H`z^|`LwJ-E<$vvU?I(BXryq(#003@3t${U9X`khI{bCt{YKY)l@Vg5
z#;z74_c?xT4<CJH))*Yo*ju7F@n+#Hze^V;4|y>nT3_80i$Dy2-r}CYc=hZQwS~I&
z&uF;-2W1q`X6<2={IqV>z8`+J)qWG@O21{H=nv|PPjv5(|8NyiV!PE=uXyhSrzDjC
z&!IBcyg^5mtF-j=Mv_@+fe{J$*GM!5St5Xz6)|i5!ws2IGwWg%A~eaqY{hRit;k>N
zCe0TFR?=Yn8~dmzE{8!Kd5krxR!QJY%$`Vas|V9Z%a?35q&m1{+>&(#;Y20_OHfUg
z**O=;R~_u1%Llkx4taX#E~@xGdK9!nWM4b%3M3fhLJ1g<JVoDan~!Sd&5Ep88@*k^
zfAib@7Yy5NzXI5)_|)*5nbC_SWLspHD5wCDm4*zI;hyQ_wG;=nGI|4D)vAl*^YG4%
z7j1}hG(Ke~6HKFa)J^rp^Ksi6*{j>Od_Ua^bJL3|KluU^rC_N%mq)C!V2}k(O?D>i
z<x<u4dSJY#XO-58R{|ApxI}SDtf96c>L9}5u>NSy+cZs*+{nsh;xyZv<&yPQDS?i5
z6}Ur9FofOtEXmT_l2`${3i*MzxA>i^Uy;h6?$1hu{wH)V!73;>CQ64rF`Ao^(Hz=@
zKLM^Y5KtT%l{`m0w1v3l;?2{YSDc{va3Pr&Y?Id-ZVoQ43CCA15bKS5@~diLa{57F
zJV#+GnhAR}S-g0zmHJ?q7dt{wwEdP%-lM0E|NC&xin`~~Xn=!Fr#i<SM=^uv<ZBt%
zsz`e*C%7A;1zi7tV&lW@-RD=0<1&^Pro=Xw*m^6v>czA1b|t;T{DCa@1Pq=R5Tz3^
zn1tQh!q8%pn+H9kDOVBa(b~JGL_XMeJrnFk`NLI?u*8bfkCe3>f4F;s_?;nWD8Rqt
zB~1?N?QmEYwcehC7Emt9y?!3svQp1*dC?i6+P#3CC-5Z`mEG1m0MFRyyO9Ys7JP_i
z=l8)NJ6X6vH&c@ahn1iIMK%?sXxm}LX2NpSmU+Ma%56fw32t~OBC$~aEcf~I=hl1c
zq(qqaTZUEwzAH7_=jFt50!CLQ7(GXg`xROJ{vJB^#d+_D->>qmszZY<>Bmzk8CqeH
zHNDSUd|$XpmRLKT8$P$l@$vq)&o*W|Ttwzi%oNiq1j_A1j`2&NfGUHs&EYW9lMtWD
zvMM1;3uD_P-umi-gVBzUy$+AK5E{i#-D*i|Ha{sN_~Ji#52fSuhAq2BrFY1+{xL(j
zvLCkI)#YhN!#7Y$#@`3B<bY6;ehnntRk0gQftjf)K$Q>+ZTfIk;LxB|Ffk}?SVAAC
zFQ%hTee<`SSiZsY?KITi*Dk4^+ndCdA(8<ZNK#E7F3XD3Mea|_{3dT*p1FC7dI)e}
za(W2d%jgGps1cZT+O=4KO5{TP{YvQlc81`Pyy|mrmFsKVua=lyxMB5D>5x!W{${*Z
zxGgMSjzy>P&%LtorM~Ds_bCYM#(j^mmc8_rxkk6;N}{HS;#*VTQ=t6{YY7^RA)SyD
z@srPAK-MS&8_h9dGFHdNk&BGb_5~3BWFw;kq7=}Zkz_=DtqcwbS#AymUZ^@eXxj&I
zNEv#?Z??A&n%4O=&(`<i42|xE@|3S3AVxmyj;pXy4b#qqiI_E$bk%gbiswq-roTQJ
zf4JZm_8$un1b|jx91O!nDAv_YK*G-kusXkprcNgj^q@%d*h9~*{8-1_dT9X<w+dq^
zFb<P>Pf@Dtc{XFGjL)>88&T%jvz}rTQRMQd`$zDDo?r9^-9swP-REz(rx$!WgjL$k
z?T6JA)B~);xjAM0muVFCoIAD2Coql45kM{o<D>No*9_mjGI>arM;!IoM#-AVdW#3N
zH?#y)XjcHWa-|V!CRxsmd4Xnc>gplDU$|@KK3{1VwY^$L^UW*W9YHBw-{5IGY<Xvd
zBW0B{mZs|+5kB<yjt_;5CYb$g4sda1AWP|GvkU-{3v18khlR(%;&9$IJQwmK^8=^u
zzT&@KU9{_V^vz91PmH~XP|e~e=U!Rm8?+~SeTH;a`<r(~_G!z37n?VI*Osd6{_0=;
zXZK?+>3=k~?BSd(sv`2{<^?(UA<({P<f0#0Jh_@fK-pIF_R?0`U8D-@^JL^Eh~1OP
zd8WoLmY&GeFX?70!C7ON3pC-lgb_q=nKk6V>mfZ{pYb|Kp9Gu{e`L;mYljiGV{%{P
zb=5EGXQhb;i(?3l<1w0p3z(z2rb6Ei{+{dtJNgwd$vw~a{`1|suE}95ofG+OdtG99
zDPRGzP=l6W4n$CB{Shm65rI0FOn}X**&ljj;nLEpr1=?WozRSan3aqaP+K>Ix`Cx%
zW)@!*C&5EPoBK~OzonL&>eM{v9v0c(WP$*CT@0f$p$-<+3u#4W>YSLwOBTxgIr_!{
z1j?ulb*kvy@xFMKN%7*KBfP6u&v-R6u_wB#j8MC*d_})^`bxrmmyCY>kDxS2-f27{
z^$OnN8Y9gH86$r<S^RAUb$>Uyv6QC&q$HFg=il=p3hggGXgp=uz7wk$h`(yXpVdQ>
zq&K~%fm)Xe4osShdbFnK)Am4_Vx1j^1|nppe_8&lDCEFh_jXV_YC!sJjEly6z7eIN
z2U1p(5#m#mXN0URx!^;+#zfaZm91oN?CtN7O7p@%H{cNAs4qy>En~s${{pq=G5hTs
zkM^WKl|zI_OPi^YL>*8}D|_c<`t3Ur;?%s(B~Vy{CC;HCC*FPiPus-gsp8%J!ukoJ
zxg{gE3e}Q7Q0kv1KYS|moA(bQQ7=*GIu*P>TP_oYnejYOUA;TI`wcfhCv`7g!Lz*L
zM_;a;XU+%iJ1chWSWDUWdOvyoxzNe`ftZyAAtZcHMALAY&_*O|Z24k?*zeQq%^x|N
z3Z_>h<5xOhq9V1G@j~mh!A)D{P&uP5`fEsnS?08m^RmNHSYb{FT894h?C852APVR6
zpg$<Fd49ta@%W=mblb<xXG){2#yIQQ4QKidYZhMSr%WGV-$!W_xzY;3f9m6Z1X_1R
zZLozV#uU8O=#S5}s9PsJTa0rcm?pd5`7qaD<W7Sz|G(Gp=&NTH^DAiZ${=VY2J}m3
z$Zr(|uj~6z-rJ?DZqoNIQiWCHiEgLd<kA$tbPbaW?TIhB)ato(#w~FXS<4CmYQSH`
zjVAj9APd6k4~vEMCXGoS`*m^>8$&*sVGQp3o^5+MH~AU+YqZ;}2<AvLYA<N*?}H$@
z?a!gi-B&v=!Qrg!*mC}UL}OFk_5)dh|2@uE6YlEoZ_3DXr`o6*6fbh?gG?!}VNbW-
zT2En#b!?W-hBse@HB8_KBgYr0s)zryUk*-H$kHtVFOh>JxMMo|=cdE!DMbhA4eJ;z
z%zLtjv);WO9H0l-$_15PPY60{ragAUZvapEqD&1=L`h5%+b~hhqw!oEu>5XlimPP0
z(UxiG!or~=ct%$`_A)a=595RI#+H|=^e2y;<0<%&pr(xYgTJ|7XlDB+ZK#?T7747e
zA`(JBi@oU)za5>Yekj8oGGAn+9Djou4Q|26GD7YG9~gjVlmb$*zb^9WWP-|#wV{cQ
z)}C>hhoag|H|ljhJh5~Ckm+$smM4Rv7{L1)_<3YNv;BCSZ#ftMH;)8BET?vOC|#uS
zP;^6u>W_QxMuZo92{LU?3&yl`|0>{s<p_Ej>!j{^N(QK->dNS*iy4lQZ=LCJNP2&k
zS`+ZwM>ZkAEOVpxorP_ZIAA+RK;IZ`>CZiesh#W#$$Ywb*bKfTTFRTxQv|D-u0tZy
zWs>bcLMZ9aSbSlRRV{1)EcRz|3~Jcy{3_JT64m2PA;o*H5_9l`P+b^0Px`?TUF$0H
zo8O#<8(n24?YqIj`(PCFjK!cgc7F}KfK$Cr2z8d&e`jL+#`0f$DQ7px9MopN{HJ>E
zK+WHibeStoXTOpA6wxjINTW2gR|P%7gZ8HDurx(vcy;`RwXVKb!8;n<y=8<W&jyP0
zJpHc&$*nt4XxbtZ<A4i>VaBbk1DHw?|3j>aBKFfnRBosHUg?9n!5!|woVCs!r!H7S
zui!l$w`5S*1WZS|X_1BXT)*pQEVyiWxrcsgWqu6*QWUzhUU6klni*_@C($}J1Cuwe
z33f3E+f*;ctu!n=+Q!JulQ-%r4DhknHaIGF=#;$6c_b$}#IFq4OuCw?-)6jWx~W<!
z5a;93^3w0+b58r~3tXe9(^G$ckyx33rfz?6zOs?6!Q_$J5VebQEsd>RBncr@TKL{|
zw{=tiP9D<Xk}wVyF8yifEz8m5-Zs9U`wzyRZ>Q;7Ls!vWeE%qS8Sk>mhGWQ2zCtl2
zHzxHYWp&&%qV|6J;<TE4PK$i+HD<W*&W{Pe_?4t7-5x>0B)ANtiRKl$RO|A<j$jm?
z)hr;)1vMz%`yr8pOy_g_vk0W9w2Gu)5_P!Q=$cuxlwY|B+n&jgEOl}`GBNwR1U$F1
zPg<)PZP?u^f<6)Z04`=Of5=A(o713e9(=8}fNSZPx9I#^)`#fMOXp`XH@39hGBWP{
z>My$(hIM@#T_q{P(mz}JbuD6__=-LVa}@kvequptgAK2+xc6&FhHnq$BQn*Rtly3)
zq3Kl6+M6%X4%1uQh6C+(gIr|6dOFA)=_40r&l_dBi&ljR_S{g5?VE#tnG4d5t_K*T
zJl;UfMItro;*_iEmdA>x`haDUSewJ|7BD=Ltii`MnK&rxC@xW4(u-ek;e7kpjnZP?
z{`lkD6>H9#+U?u(KVPWR?fz|iUWEBQJBy_-R@QdQzy@;fDf_i4ae7$%Z1Tj<2i2$g
z=J8pk8j0C{9$@8eGnZGT(fa?m`tEqH-}dbfB_R!pA|y)6NXaTAC0n~lD3oL+drN6h
zW>!L(Eval-6<OJZ?CcSey`SUKegB@{^Z4U_z3%VL_vZ6{U*~n6$9aq$x3z<U<ik#D
z;qfnD@cb-rVlhRA<h>uc7zB4hAxR9@RDpI8c3Q5IcvCmLV0Cc>2>zYwimRCifrNg<
z(*(v@CW&068sJN=CID8c3G7c>4mYiZO&eAZPhe}*9}BT&{B%SsXy@jM7R%qN|G~7)
zLDFg>tt_ziowY3;{pvrjl+o6uk;r$De&SSipx0n=V@19vEHJ#a8<8{>rrkKohb@Nq
z;P;r<+UalqkpUsL^Q^&*hOKR>^qgMA43MF6E0RFufHAc2JXpBe;0AB$G=TL<2=?q@
zQC4=-FqbIjG&Jg6g?Em>l@}^IVyu@yV>o`Gej;NydZ>`)S#+l*E#v;{fGtVaROg{Y
zrXxK!eF9w0wAPM%3cXfchA_B{)Jpg|Nw~a$R;#1Zloph3`Yp9DqYYJ$Tw-yb3o4F0
z_SMFf&<}-;k}?-{1*OcA|Kqq=%lf-C;$S+ic7?CLTqENaxvxiR<Bvy~`y8fAf0zgV
zm6=MnMM6A$XcZAPy-WcguTkxhj!5@J#?Souixo7D_U7_vNsj;<Gx%ITt&JYrZ?9v-
zU&y$F0Bn`wF?69io=X5}HhdrPVg#Vx4LwdUMOa(4<89V4z$hx;MXoJj@8*Z=g?B&#
zr(4=}6H~NzCVs|<B}7Q`UAwv0J3z_`Ez{wC%s~~ATnF|ZWo54j72&C1_&F~Bj^&V#
zhOpc~2NnQKyN$9=gjG#!n6Yow2+Qoh^W(uG`^CE{obNBlSd70T&DM`x%CxX_Pd%d=
zYy|^BtI!%6#8QJ$^lPK?ECOKPNH}XxYr#bf|D_Iv$72!)fv9wn=$*X`JmXDrr-j4n
z`eamJbXa?8#kX3i9#k*w-e{4G$pI>HAMnowwa-C5Uf2fjO$}`MJ8m8%7T@R#Gq0#E
z%J=FVk<_P8N2<J$M<XH>-on3eez;QUqKB2uI#V#%vyt#fa`Hf~xj#+alK#5T?aP-h
z25Xp~NIRv0{*R_$VScPqgKG~6Aco}wE_3lHG`*s{h5!xY+hJn%mUat4S%@D;g0Jk@
zxBVS!XQj|FOV!CSEx3k4Y3i}Uwt0tyM8m^RT9jJ!KP`=IBwGfTkp|aP@8^z4`ek#x
z{M#G9JyrQ?SN+V-=4QvuZ&ZeFGweHkthapBaJ_zBx3ov2h(SM$a|N2pv*<L9;wUkk
z34^0KoarZxb}o+RRN-h?T%RI~QvKU^8;Ao@kBbia(Kq8%Sh%0TFs#cwf%m56G}m!i
zJo9Hw6>$o2W`mOK((B?T#&E)Rpcmio`36<Kozu}2zoc;30h3^Y_|K-i)qF1x3({R!
zs|JAYpmORt_bx}73idvU@#b^au3gh#2h>Tk{X94KZcNsH(R73{m;k~Sn^KTIyybuZ
zuMh*LL5INBqq45(d#+%iGJ0X}Jd6mR0M{0~vy!GXfl*b3?6jeCRkk+-mfkUdfi`=e
zS+aFfz;WHTCpD>8FiobjQ1oMpT0qQ>C0g1$WBt*J;e0n!DY@pmUZHvQXgdN$E0T{{
zm|u*8A0pMF+4uI5Yhw}ovk8?_jG<t;Nd3=$Y&S}34c_5Yk$Gs-m78%v)M434&oIxh
zH`n;EOx`QTd)u;)kxlK^G>nZdJajs9;G!HucVRuQ#5jZ)?A*pXAT{;EtcZ6YvH{gz
z1=;aksr9<d772x}gWq40Kzr}eQNWB@aqoT+07Qny2o#n*tt6N8s$24^{DO_UpI>H!
zpPY4O6p@DkmNalytDhQ>xVQ-w64z2N+JC8qtu0@q;qXfm#OzlrXj!u`?Zd3_A1!!^
zpi95WGpnv|Adqq|7T5k4NjtRVRPnTsuS)vpU{{sH)RIq@<H3trkMx9(G(HYenc4r>
z!@fQA%x!t=O8CbaC62$x5R#mf3TXJZkvfI(i7JL`VlW}HYE71k?-vpYLk!>~uU@GX
zp==W&j;_reASdadH~iK{z@q7$jDb~S+t|(}^#*cUKWaD&B8#XAqv)=qU)lpa@KS{j
zzG#&zdfxfKV%s(xY(}b%d)Aiqph1;?eu)Cr%(^C8T=9~Uy!pwdla6|jXR5magiz0>
zmdAImTnPX1O5c1-Tla>NCsGBDZal$U0g=r0WrggQ>*lE2^T_IzSW@7w)gDsxotn_p
z6F0r%IqJj+8V0&#t>*d948odv4WN%2GBe?=-=zEBrsv-~vECn&d8Iq-^fIFS;kAQ3
zW3Xx?nZnRJ!L*vcXJ91d{tz0vi{^^nt_2CJITkAc>Wyf48sx++&LNCv$2Biqhwe?u
zk^2T@>O&`MzNT>1jY`grx-E`z{mgUAJD#of-t!_hw3@hzdv9`)9=TS3FPleoygK{n
zF%Yy4+}dB!*J^a$dxh~~L$jhSL$c`NI(9FFg#zNMEt+t$E4aUbbW@`&#1$Yby&KzS
zvg=Qun1GU5!bPp<1WdL^#UE^1o`Q?0C?X}1Vwn#I=kISU2`DXH*#Z%H4no#<IQ_nJ
zu3eW{Oko;Rs(3otdPEqcnLC|@ENfQvie9_{gdtutUhv4>H6k{T>>n+EMsoVqCRfpz
zXGorp>wRNdd#MTKxD@x0%i>cdlvON)b+aG%C>Eh61aRi9p|gCUl^hRMyE+iJ>-4LO
zuJ{{VG%u|V-nrdm4t?<fm<G3(mv*V})jFOFQ2ZO8-dbO}f;ARS4<8m*(mbVVh++S>
zY|!J)nl4lB_$`TjKYm?9GTR<-%q7F>)lNN#JmEfCGSyg*gZO3=bNT=JYSoxZS8u!V
zt=l$$mZo_Bj%2U&pYJZ;hC&gQUAs}4o_o{quHDt>`RLZJwJi&sFT}x9bN4iGdvydr
zvpQANosFx*K#F|$iOc7YZ>af6F1ytX41oZa&pIE5rj!KZXmCNkUazyZW(KA^Pi0_d
zqDnkS>|Yb7(S8FM&k~MJ*7rpKi&wy*dcUeZ;}ulxxEbHkvKZE-7PKC9;{$!nTZ3x}
zel1<7K0;Ib5p+RzkhMikC>*zL-Rd~bbnrjpPXPbf`w#o)?>{cRoS>;kNR6;vov|w7
z*Il!&D(5uYrG#6L)B5J_k(ej&>k}vb0iSRb;#0<alPa_Gc%;Bc&QzpB9xe6@_g!6y
z(O#}F7)Uj!|HOz=adr;taN=rw6Fl|Nvt&O5yGAeZ>e0Ro(inEub91Y(?w<hBjvyW&
zUGL-S{T5c+zrE<iQx|eA$AXp>FKu?dX$?KSN=niOiu<$>FMIWK59?Qt>t_ohvYk~M
zA6?){7UM`q_R-QNB-DyEeSdNCi=!S!(tYe2#Qd5(Yy~VBgHU?It%SumBySd&4r?Q=
z^M~vIdeA^D!V{&PPx|O)_uo92>SYx4y(DMP_+f9;>nEMgdqVMzfXc!)<I7r%K{w7q
z<wtj2ZvNWICA@|$3wb>6I-wNXcbI#00xOl~+F&oX%|vQF13;g+&wjuLKTO6Y3oZUg
zq;!gpNM9b|hoP)FEtI{QvnTTV1YcpT4+SfgcptM=BJ%d;L*M?3Ilx>xykL(xXMRFe
zEgc?PRdJICZp6a^MT4t8v-Us+oh1^rHS-oxk(9v_E!;#rG@Zd31nr4LXb`rzJr5%t
zbO1e{M?gW??^La0iMr&_9~YwEa-2*1gz~8_!T%P1>*t^LeK1gX87iI=R6;0>y5YH=
z(k-0L^{=ROaL*^#6=5L2K8$~7!@AM)(MRc+t&R5gjesg7`rKRG+`ecOWwD~*oDo6&
za)p5!*Ff@i`gS?<ryJOr@1;t_z{;YR0teU8W35t9d$hCVt)qLO!m0+e;k$r-6G-A}
zk%zRFohTWS9QSHt6Ul!u;~g9;D#^s#+t*2a#)u^V89VTf9H5Pz-CR-(BcY93H*d4}
z!M|Hie9w;OpKRB$e%`*lJK|?kcc8<;@*>Km+ngaLmmQ^T>kEU#`t@^&g#eZ>niLee
zU3h27LI@(rYc{Sxgm)%o|Mdbca;vTA|9Ma5YsMLiT52@L{z?`$ft%hLdBXEfjkE`w
zK>G+$qXCk!&5S@hLp0yb`*ym0!0Wwv#0^yP&Xzi&YHRm4uz1aL>GOtJ5jdj~iz5>5
z2z|#6tV2aV2@%1tgTR1QG#i#q(;jGY!&6^XVAET_ao`b1q+7N9G@wNKHiCA6o2`PR
zEfNNB?!AsqWJvWmfIqKtBF~aBcLq?h!NOLTLur1Y1)wfuY2MZaS>C`yemhTRUfwV;
z_*3ANXzJaDv2@XFvj2B`?PUj73McPbc>R2Tn|+2qw7S$#VR6sZ<5OK&UadMZzmk?V
zyb~}><Hb~qHko9*fgbhx74i!wVL5XJr|;B@6Wk^)eYyrNQA}-}rqDbo+}4U|OK~Sm
z@PJ@<cgpG8i5Ty9iWa01|5m{IhR|5iWi1A2TEDpv*vQ_W;cP5~?z4G4Q^y@4YpCRc
zv^K`G9);uoE?|R?v2rLuUsj$syM!qrtVkB^g>g$(>JJ7`G3+mZV_w!}?yEdJ{=9DP
zN%rsyYtH0z6&Gz>piP%J4H9#*@pkxQpW{;&KSB0SWb==UXsz&SO2NC5A&i0I3@v6g
z4B8+r?CZ6I>480m^U+I}+FjBK75G$dk{&c(|M%;62Ha=9wf%DJI|6^WF8}QQ!Y1M-
z0A7=@9@tIOS(w!_;v&!;WyW#1#dx|H1o&0a>3nfTGyie0kz?t4UlEBG!rx^xd(q{$
z?9xnSOE14-eldE89ox6dXY0UQd44Ky$!0d=EuY!<7yfWy6wnwl-i&2cP8V8uu;IZP
z3&K|Fl=H1s$^~hzb|^4^vFsyO@SWdVanqOg!uR7xe=l*LCl0H02Y}`};N~${cuHcS
zLF$kmwS~F(sW%FrCro}+aWXF4e~m=9aQAqGL>*k%%4jhQLQtWeJzU`6^NY6xd{{Vm
z^BwTM@?K0UYCcW%n2>C-_b;j}@uMq#;0ze1O0?rG>ju16H>*@?o%f#e9z>cI*Q<=l
zexTq1a~(1Qwmn}>+z<Z<<Nr+jRy@e($*m!}Ms*h|$a0NcJbNrl-5RxPtnrDZln@8N
z1*HqiKk<Hdz=2e?K`rH1n<@-l;>9>V3J^!f2}Pm5uPE<!!bqB|PxzrLpU|pf+=sCy
z029A9(mb8jks|feZ;F_4(Ts?d1A)5utV=$`qRKm4q$NPgZ6RwJw))RwzElJcX%$?Q
zWkaHSLTc}<v=0PwU4}aa-ov=Up;*lM{4rPFyBdmvnr>U*8pJ7rbOhySEA+GTK$sXc
zH^Ka8C+jnt4Bk|!gy*ilEDaaI7=ZWLfUZ=W55q;8B*I$FX54*o?a#ft+D94BK2WKD
zx)y?b^eKPy<@~X830=QRk7Oh~X>)tOX>Z*&Z)Ad=M6qG&>@{snQ3gt5K+g|#MwziT
zC<Y=6JH7)|D`#tO08`-GLlT8`&Vms7GF0l-;00DmWa$Y}`vLh7hBDo;>b7!!|EVRx
zJjaPwNP5s=11<;5R>bpD1T;W?A_iZT;?*XnRynTtPb^3NZC(a?zgy+1stczkeMDgN
zcRp7;+t-DG^O>9PgvBHY0!{RV5IHR84T{r;I>l4L7;%^JRLJ=1W~&Uu7_X9~1Ok_l
zuMS6{Sj<TTfbmreja;_{ZmimM4h=m++)1r6_@?!4hw1FGjQ+FVIDodyPprGEXa}uf
zalpd4IVn3qwXBCaeB>f9<0=`l34cK0Wh4%CXsmD{yBXpthaaOlKOsf*S2Fkiq_mqn
z0oB=6HWwG}Io9aGorUmj31f7OT<zsyGC$$sp6A-~?>GDRpEr^~<3As7A<=X5;H`Di
zypPJd)>|ZFeuqFY*V!RGrE~CV#nb-a&-q!LCm7m!7J*Vbx4B><3x>Hu!RrW+!b#BH
zu$FgxQsQDB8k7J4zY>Y5^`BFtTqb|Im^A*!MQ4NFAFTgM0lHkl1*{=!gyYc@&&`~b
zcIL=N!jPnYy;b7IHVs);wyr9um_~P?+&o4#P)67Th*zPvH==}fk+LSfFi&DU0q?6x
zc(ROQB>TK#uKE(&5MORv(Me->RW<G{)kU-Th`h{(={>63!|0fIhPH))9wp-HlPi?f
zqh&E`6^?Kk=Ie1|zgCyljQq%$hHImVSHRo~J-Yv91C<2tbkJW%>&{BQc8#AfTS!3F
zGr2Hi#|Fu`UUZZ*zoSqbew_8P?CmR#raCa(BWnnfPKkZHfhZ$=HMQ@oEA?nhQaRr1
z%jRr5uid`8VY09KOSWEhKJn@V##0boKRMxe8Gk;8b60;5?Jo?C03{*()R#IR)6Tp)
zQ({u77%6FWEITaS7tKh4o*Z=~A#R+2mP$ElfTsJNSU0cD{g$Wi{}j6s_@JaIIjscl
zDCfvPh@8!D(WQ7Kp^wzW`d2+7tpYHdmJheqQUcgot|jL2*{pc3p2hzb9U$4ky<W(7
znV%Sm|DP8{?o?c1Bi^D-37;L7f9Z@blY!?EY-1vnemYTUXUWsXVX3C+8tVQF(`{$7
zTr)sg?HEbPSj1R}qJm%@T<U#bOU7W$+;)B?F|{5wHv-78vw%C^<{GdoAFG4#y*GV0
zWr1Vw?78@G2{E*%FjGq`Y(<M$xbh87x9kVErA3Lv&f1RL6|2^)*Bfsz@D2N1bYZom
zP+Jr+HUX;oM0$gzWaZ1DfstVNO@3GB(YP>fWQqZ%$FBGG#aw4C+use`Bv1;(t(uh$
z1v|DKbxR<W9w>RZMrm_d{>_W)C?a%g?3H93)9zT?3;3qev3(qP=PYWGaP))kCxfEP
z5Ny3ax3c=A>B-w8>)jlkC&4FtvS5@(j1qP2f6-VuFB6Nv^GvBbj*YIm=6y5JU`Vui
zDLPD3>Bj{@2l!jnk{}mykM$(3(CdYNcpJj)Z;$dXftPP8o1Y5u#kIURaPxPxg<u6u
zyEgHl7waViu35SPNCI@w|1c*oA|2D>W>+yc>{lKqL^_tv7G@B$8Zu|P{<G`EBWpLm
zaQ~!t(t&GLaxnS6MBjm3^J)0Q2mo&p_0*G@?c<Sj9N!hVyx@MPKYO<m#1@B{iyda@
zk$ZxpX+iG@z*BvYS9{_P_ClG>K5rMwAPUg_+U0BBJl&SNMNvWldfv{K3har7UALz8
zA*S+W9BQJac><mwf;H^h7TC_Tt6HxG-YI|+ebeNlR60_R-xJr#I<JFH@@V_jFYD`k
z8PsTOB^x938Rll<FUd-QPM3sRH8s_>6=m5ecpt|h{g<hcf4gt=Se}$Z+*BaV8}+*H
z6Gemy!u!-kjPoS=ZRQTvT9NdRt$M^Ii%d~*E^gCdPEbg9Vb_vwo1HY*)CzQkx%uA%
zYiF!K3lfR|8SWKln-F}HSvT<La5{u^9pyxz4MHC!zkK=59t{>hLLb&Vbn@lY4Y9%G
z^uh0EjYXVO1=`#y9Q7#3)47AR)RvWZ8;Ik3a{gbOYCtp;y}<1X^fOpKm5&%U9ecQ$
z8$9niX?BzU-qJUM?%v+G>x3M^P-b9Zq3*9P_`5HoCEMXN@Dd}h)huwCBZ(X6JM=r2
zf6Cm7N8n<QnKTAItyA}knLV?G#}Bui|9Auywxz}=DO|+hZj)CF&#&mDE8pc)2wB<g
zAoLO0y-SWVDor)(L#8)wtD{6<@!h(g(`*p6wZlYo8_}Z@Q+P5dmkj|}R)Y|MmrTpY
z!EU|w?ESFiwfeUa+KsigDLLf02@dVBK}<;?w&28Jp!x4YtXZGQJIsvC`a|oSrT-1>
zmNOhnryj}wy<YygZl}p`aA1vHBMTjaZx_udrKOD6Gn)JgVtXqIu#aRd22C#9T9xUH
zsRPzLhH(qU#Y(k{*c=VtRrt5Y<z>l<B=1nT)plYA(;79LjO}+UxawbDS3GK<pR{4s
z?tO(xy@Q(<U^=f7jQ;<gtv&U(u2unFP0^EO;v-6xbnJ!=vb5O)N7uT?DjZi!zy3qz
z)%hgzoFpuN!+8gBzBHG+ElkYg2+4z;xiD_xb8{E6?cb9qR*k0;ms9_{EpoT3PNlu@
zO&F-rREu?tvizNU_i%1>)Fg`08IIibxb`WsPrS$g4VOQ>y~5?4pT1s2YHLOrSJUyb
ziT_B4?yaP;ub(`kbKB`}>>$-Htn~MayMf;!bNXA`S^SImtP2(JUwuZMPdg*kWc$}=
zx9+_0uYAm3>*8b&D)aVSrQR+y3Ly|<l;YmRTyFTljvdqYJLt2US4v&$Q#lnq_M9e`
zcuP>bb!bl?lhun#sI0eT+LyN|fc?=vFm;(d;x2R3X~`yDmOy8Jpe<^a4Qykb`NOB^
zmZ5vOi{tj&^RnmEL`(uxZ`5ybxLkTH)1hc$>hb+1r<b@nlp*&C>i4>T-wy>R)L<nq
z%+qYX9asSMSu^}I;n3$U&YF<5yqx|FDt)<RYhOCdU>#!JhWO$aCq{Vj(Hv5p(t?vu
z8IQ^C@%bOn!0$xk>O1<xLI0i3VDZ^B`FohOI=HE!<jzP@%01mp9QL6iGE2UgVOi8@
zI*{gZ*lj4#jPGr6?<20@Gu&IhQr?{o)fJZm60HtV4l7v>i<Lu?8$vomw6L+zQ`gN>
zQS{DY%U^<BR`z5gn8xGAuwcAfi3o{Ocd8W)vH#VMyXs^7L&F?7H+&pyFDQ|u4x7PF
zL-DH*hlz}j?tPK#A_|Hpl)e{%Uw@sR0Z*uA<v;)QcCRh$z8|kphX<GS+Xxq6JZq_0
zYht(L`!>Y(9_nD>X0=-xgxn9w%tWNsv8>iZGNhb&T;t$QJ*gLn38i4JTM71Lu%5#;
z=Nz^wiWuV%f_n*=M^_+UiNEw0)3N%Wq})|(_RnuIuzfg@ZEra?*8y7^5pM3Ze%-r$
zp9CUfFMkD`7YKe)F{(2+kXL_z^ToGT(5lIOgB^#OWfxdlN&xx^llv6fo|o8Hrj9*9
zu~GdlIm#>O{PHq4-h6+|v?aKy1c~?AEe(`?(L84BO7GlNvkNa33c=Gda?LgQ{^HjJ
zjd!zpp0Mu!7pw6neUtm?|LqKE{HwC-1DKBW1+WqfzZnpa(_Dv}toDw}BZSte?21|}
z$4)T5Im@PO>j?Lvb?blmjgmsizi{=675$oZ^_2IeP>$C=VS|86)U9`G?<S5V$KA0p
zh-$bRl^$bp53AqOJ4+}n`N?PsEGo46C%$6^syT8z=>c9_B3ZnAJ#R-m_NMp6k<JVO
z{d7#07+ev4#?0(19@h<8j-42^oD!Dvy8a7!YnKYH&se<vKzL}cU8w$yhz=rwnb<~r
zyUL{v5q>xDtsvs8_~^*t!`TWe-23u;ZIYYVEwZ@*nZ6g3MCAw|f*ZURd}uv>Dg2So
zs&WCb^MUk#-#z65jM(LQKJpKI)XTH{6&Ut?t;dH!tna2g-6SL!7%f-c?ORH%(gujC
zKKifwWV+t=)8qqe{zCZPomyOjpfvg<NA8qoFISmmsd&F|if+hDuhn0|0B%+0T$iNR
z2BMP@TUPsOI?JcRQW&$c8>{4Qg;ppUKXYG2S8)F5(E^vLmP{+f0BW7|q+cwKUlv6F
z9H~4zz!;gpeE{!{n7D-9a;inagaM~TtX>FA96eUIQ?GY=VQ}q(oWo#9B9l2czhTQS
z?;4wVshO8LG|H@O-&8Ma;VLRmz20&pZqCSb8n<FM#)zKHp?*cvweH#fjqCWl#Y_|S
zv2<6z>-W)VL2D}~Umhy*W$W#uI%V-o*Pof8k2$pOJuz2W=$EW`VKNJFc02gp;e@il
z(}^mRpHqKkLPEfzHJfBsF$)<5);X|?=-=r-on*mRC;4Wp<jw#4)Ttq0zTs_Z98iW7
zm{Oy>k;lgDKH3pKz!+0~{p)qCTj#yFbE9uaAKu2W=fJKm(&B?eqd8<k>{olfZ6O)y
zKdY!H(@|(pN)ZqchaMM^iWf~z$AoLif^2#E&JcL8J2FZbB)q!%^GI$N`aG2YsiF>L
za%14jwmeE!_N$d8hzs}av@dLa4@iC88rlb(YnT>f7BszG$?OYaJ?Dt!^7lWxnqe&H
z2G}phTt40OXGgHR2c~!>h!+dm7I0mVobr$+=!e%1Mzw5Y!ty6aHjluQZDXH4S?(##
z#<;b)KE{|kFF!xu-nSoejj5Iplpy=`6%?_R|6lk7W!+!35>qDRX(Xw&2wdLaZyxn7
zu_#F?<h{ui`#E|b_^XBQU%|_~|1dZ4AH#I5)qlj>+~malTwjLOtJk}+aB{kezYuwA
zJu-qdSvQ8rU~E<|Y^jF}5{anaXaDCCb1U$BKHMu16wZzJcUH5?&3Uuk`MnowE_rOu
zC`>28QQU#^)RQrawE`5rSdl3Ls^w*56IFVg$^pLhzWTnF_cDbo))%EPnfs+oPn|u8
z?)hAa2X$ABk!mUJgqO+<_ZH6=^<TDk#k~x_QWc%Uv|%QX8XmS9=siLRw*(DP;_)};
z9T<8-VeIt{y<oe^cytTyUyIKNO@-x`@DX>%h3GCLI776fG2uahv;PsIxf>A>baJ@G
zsciw*y&t;iuOD+j>nTP39bV-kag>p|TAv$~n?PbTgO+=Qj`qRqjN=k!a3S;p8tvzo
zJJ~-*mw);1Gb*D4^O&7Y0Jzo$i|COsSl;#qrxAa=MUCFmw^dr6W8DV+dRuoz#9Xe8
zA%>I>uw#{ARV7qi{WV_`K>_vn8q3XH-NeJY(mlPZ?Km)LL5F>@ez8aMI2W??XI<7(
zL|*FhCeJsdJ*8uKf0<A+Ex%omwCQFMcBkzdwf(Ox<*X+0ih>dYM8X2Sey0Rb&<NJw
z=~BD!HH}(+tL<<zKP-Ab3M*j?!#*C`4t|r@=%GtEEYec_je6h5e0?UY;XC@L4=fJK
zjXWG06~tM^f$+c?hAh^!;y=H>5F#z7n`Fvc|MD@bw^f!iPSe70KRS6rpUgMB(&}YB
zegfPZ{{EW(a&t1Ph4=gAvbCj{XuDp=$MNdWSMudjE6t9_Uc-z+{Nnam^{A1~pst?K
z7U0HrmFjka#{CuUNmYdx@!JOisxBiATCf_$H<5P|`#9oASIfl|C2ML8j^u;Gtcrwo
z$~kn}`!ZOmZ80wYde@`i6TF(MDDRgnMvgP@wdh=|NSqc&8lJvMC;S%Jr^MoBBBqpf
z2C2Gs-}491^|UQG7dcdch52NAgrmlCvYq?%w8_+#O#3er6LXBJMj?LN4$@p@R%sLd
z7&CpFMXflX@FVpJrY}HGuiyj2;Et=GU+Y6GCb$vN>`4rz*(0tw!a|?KFr<e7TWqs?
zTY{)<GP0-Vs;{^~m9K61FKJ>|MA6$o9t5VHTD^KXLWFYPx0GgI>HW2vVy6liZz7Sg
ziErdTRKzVmpX&!O82vp)qTPt|x|Gc;l6I%U#dgdd35aC40}k&kTkT#5`lx10NYC4`
zZD=!th!7f3VL-zdDhlsqOe>-XgtqoFbM&%+ZMO@(Hz$WG2K#cUk2oH!R<2`!8$Q5*
z*lO)2Jmv?Al|22H`hfD6Z`Xr%zw1K2cgg{japA-+XT$MVC!TvC7D+Grkq-lTD`en;
zx!Haxx+BYGuoQz3FaKD55<A6DbYo?J{9Um<0#O2o1j02g!fcYLEeijfMXawDNtIou
z`?M6qKd2)_S@cbsgNokN<)|(sN!w@102P3;_!|KIa$gCBYB%<u=U7jhoG2!Nv&7^v
z)pfo2%4^%66U%mbLB|y>O2jI2bf@D*_S2SBP2tz^C*g}J(0sFxvU~-N1$N2cn65V%
zEyRsfj56_UXXuOZ*(erm7{+`!G}&O#lXYqQSr>4x^-Rm}+Wqw97PIb25L(RSyk&@w
zIpiIU8!?hePpN&QwLd-O_7Vf#gHp>}W00=?0)tVNlaqT>D+==lr%3kHce=PhJERLQ
z`~e)tK9v&3)ms+g8^YjzUU~Pj)xwRlng6JUH7@gxnbx%ng)?w2-9cPx{W*3kefkED
zy38<S1^dXF1EJn!7X#A{-{wiB*ny{YNSAU*#CU@>z}N?D%?&Y%>yT%-jb<AarS6T+
zN3pMSm`B2PCBI!55K&RPj67z1BKEY5zl*VB*0Otcm{ZJneF+YKH}26>;QRQ}v|?aA
z1D7qciX9FN9KQda^x@nKE33HZSIiF9Gg6eKYVNHnIX}TrJS`Yv*gODba1G7Xp<{{u
zzLA35jH<owKo?yie46AJ=8#2v!1Oi9up96<4{??|^HNiS0TRERr}1VzO2Qf_O-zzZ
z5M(b-vaXEVau-|_8ZU*&R;J6k4GpIe>qpqh+uz1~vtts#5Bb`rFLu8mmLThqTsh{O
zBX|T1AzGTExpOoK80D6Owr{}nn;VuqtT<Xkx@v5Bc=57jUnM{6E+OgKAHVD|_j5PG
z>o%4=X?%TEr{2;GymIgjW0kl;ep~Nm2a0kSWT0^FpY6emhB)!*Jc>3W^@CiuGxaj$
z8U(B`X#FHb4##F}Sj(<QLh&r-jg^~Jw6FtyIK?WU>4&FXKRU7Ou9u<u;J2~i#Sq2V
zri_W3lZ|HS$A5>tPDkj`pUF*XdhhlC`Xgwx$5QjAr&|!IkaIQBDSljff3|NVvjhAj
zx@(Wi27zSAJ9z^Ix(W-PoZUB?wBQN>D+c$1#4qvnFTs*E&B;UWSc+q=CMb6N_xsgr
z)`&h&Bq*N!|2$M2-;PSp(fNtNRTN&1TU6^xOb#$8BMqxt){20k{&lli9Gv_MSIq;_
zd=S{yzdfH~f_7YwRHigDZ7mG)1Z5<Ex(>j}KysP;Y+bpHO70906A_xaaWOO#CV?^R
zS5kdJ)m$$6Xev5A|4=*-3$^@ZzYi8BZ{U!AsMV}LJ~*^)mV^S}Qkcx|t$(9+8b-gn
zfdu6A&Hz&Sfaoy7XX1?;%LT1KjK*~Q>Br=;d<>*PIAGdbmGB3PLqpV|>{xDxl_cj7
z1XC~-oW9a&`CumE+`Oo8)amR;ERU<EO5fH@J#}20-v$o>Rlv!eHxGgvBR=@*7bn}U
z*S9zcGsET92h7cB{2!t{oeVBmw89hg<MVAkZfG3){GN?U?2%VfT1~O&{^y%=BOO%Q
z60oO~>MaMm3c9t;EtWbS9jv+Xn>6MQ{NV>9h?Bdh(up=F;}fI?y;1XJIloofF~woz
znNw=J3$a;8cymwuC#ZQdPOJT5cWg~3IO4u)w(-P;wk(^G_rI~BX1YSm(QjxBj`Tqw
z2?YiQ&tJhd9P2JDC8ai4`xcTcoP{`|H#8)TGm=-7P0^o<!ODiB99Wrn{ZXz`wchl<
z10Crg5x%iB;FRvXL-K@Y8gu<tf1QN4#rZ5(c&%QoClgp(VbFzleCP$un|Aen!#JS!
zJQS7q9M}K`VEq13$htfS65Ia5Is)@xX;3#i3%HP!ZQ?ar@|Zs`)pgt7PqbWn8JD75
zEqIKptUdydIsW_dzqdf{D71WzZ5Og}C#l}JaU;8@7ftd9I50ak-h4AQ2&&N2CSzb{
zbaW5QF>T9mFx_m=r#h_$ib-mZUc{c9$(e0z&A%S_`C%haN*vQ8k8V&W|ME0=oj>tg
zf8KKyZ7FCx55$Rc1lzgwdU(&)yCs<X2E%qZIBl2Ofa`_F=a0xg=DBpX@<9Iu8)>6x
zlT!T6#&z5+xh_o`=@yAo=gELjY7+Xl2Xm!zm8QOw9!mV~pl6emd}e3CU3c8qQ^efz
z9*+EdK}RoX`fKVJ4BKkV<{h`x#J_<zeKj!-b9|@=+l|u#PB67T7vGD&c^|A_`WxQI
z7=9}@8F(~4UySKn2wQLB;C9k&HKn~S|6QL+f6Cos`aiO2r8u*KiQQMvlFwLVRvr=h
zw<`M9gMYn;s7mm`mVr5#c<<%FlY7KP1XH+L3pX5OpVm2tBgutVtmS<4e_jPoaw)W(
zl~BDN*4Qc1FK+dEKBxETkK8)0OkTmei2;WNOO-%}hv`qg8<Dqd^ooM>13$H))sa?m
zb-@3ENIK}&tVyYZP9Pc%1Ina{AOd6W2-r4W@&0*j4*zXAXkemqWHsI4Q)l2%Hs%Cw
zGWmLN+<T{#gqPs;PX*H#a-B2z3pSjl`bsdI%m^fQNPV3<z*}%0lfmyux%D|e59uwV
z?iuw6_~{z|(Ij+Sm3Ye`aih`P9@fL@*+l{;o>4qC6uR&l_@n##cqj@V2j7}nYR13?
z5Uqg4N!wLQN>&`~&jVT`lKvt(D#XjNjcnr4Cc!OO2iypkp#io@fV85w^f)N?cbD@i
zsPoeh%~Y0wBR(}ch!A5F9Pyrr)&0_zF>B1Vj=kDc@*8$vd4vOkR*Q5}IZhEx5h?C5
ztC+9bKWABW&yK`PK9zOTB^>%mh{4_@#(^~H5?%3j(hat1P8G+Gaq!_|$@X1UIlxJu
z6PW`c_25E(E=|i9lFmZRr&C?g=;_O!V6w8fH>rp0r=x>FQX5#?Z;>tPuu9+|&0Gr|
zjoCAMuDO5!kt0YN3jRT#3tE3xQg#z%1$qTvQ)?2kNCZGoZC7-ykXyr=iYjU(^zLUY
zdn{~(NhC?v0m^!#S*I_oE1b4^u4;DZoFcy*_VA|S=FQq0)x?<-z%XhZLI_hwq}bN+
ztjo?~m#<}*qBM+T9<PkqddU8S^I<5W3EvHJ31)&<5_D}PdGRRj_ZG5;L!leem4Wt?
zG1~eb+(@(HIP}DA2F{?#f}tOpEGHTo8vNZy^qZHM4v6v&lw0cVcGOgYof6^Bs#a};
zHhm#->EPEfm;;mW2K%3sX*D>OTH5na%Tw%CAUxTZc3QzfLUBIH^Q*%D;=Sz|>U1SK
ze!wHDa_$kQ4rf`|U}nLJXhVFPH-gI4NjL@O8P(s<!D4amLrwM(K_Xi~sQy3{SwvAr
z5ZSwrSn&c;D&qMS4+86BBAvo?W}F&@_V~%*$b-XkKNf+v)*QoyLHRRJRs6qqkxG6)
zmUXzky+e<udVc#g{rb0yv`#+#(RL^n1qQKn`f|8r_w&7kFAq+7_`|J|r=Wu{wz-bD
zGC@@N{j3Z;JUk9tD8jZl273;(R$CD7EUCMg-ovRMkWU-`&lP^_gZw(~o;)HS&7!YX
zEIB|;L*Fcz*0-z29^SH}G=R=jeshy=b=NzHHc6n#uA<wP{)z@a0;o4xL@VTh)YN_R
zAaoA_5CM7R9lX)*j&8HA+ZHOiYc7u>WnZ6+xtoosQoG6n3XHUt^Rff#3hNlEJ@&wE
z`=fBE*mKbTn&8b?q%%K2$+yZruv|4GgM}3KZTay&8V&~)jhw^v@fIM~`e++-P3^(l
zm15R(4#7K#Lt!;j%n;jMnaydy+NIp7h(zQ}o`C(j(Dsf+sYAGZI?N29TfF+uk#sbs
zK4=f-cg)FSO4Cmx%Vr6j0I%6}+pXbH$@Et}zYTxd!-tgTYF$&^2#m3T3;;~(6WhbO
zdpUi>7!}eMKJ;h6aQ&Rd#h%Yxl!Mq2$KqqC!3aP{|AE~-mgZK<>P7TFiC~fD?h+L}
zL+(KUS1GOa7_ikfS9_OHmeQ{O*iEE0wM7Tid>BT^XN<!AWy9AEXPqm@239c%zUtqV
zyZJ0e+z#n@yi9F&ZMbVYT9&2v`AceTH`IpR64>3!%X+;=UCi|x;S!2mS_rEEC97Za
z$iqzV1ZN5Bs#N`yX<35UDx8kKTY8L<>Vc!xp<#Qq`V==%1h48i$(y!jYeALfApVs1
z6`I>WOjLjPTUm%PlzRa*@k)17_Xzv47GJ{x$xWd(EJtT&lC*xDOLG$OqJg=w$=t?q
z$7y0z4S-ZFkG1vy16tnz%)flgPeVY#%c*Vupyc7iEB-htvhe0O`4yk5`<)VacS~9j
z?^$29Us$aZjNoQ}&5k`ogRZ`WRg808z>Gw~>$Bd*QRr-y9DkpCo7#uR{Q=^b0#0mx
zZk)`0$baSLR8d!sWK*~AP(orw?|%%7_q}u2;vkS`#H>X%?F;dcGOW+lKBpuGe)aJT
zCK2iA50%mMmET2#%TjgQ12(2p&*Z3PP&&Ht2<zf|fT9Et-97@|c))V+-9eeJ!U9d-
zB^&P=Cp*Sp^2I5D7U1f_<?oNmfn<2wy=P=(vD~Qo@WRnl99SWXv~vg#dt`U;hA%cc
zB&IJ^gZ!B8h{n;_Zw>a%-L@VpxB`q+o$4F;7-=yu<Y3TnvSp+jwR0Tq#MNPw$-$^?
z+?euG`|F*CJPV@tBic2RECJ^_`>Dmy&(2#fb6(hG2zEC}rwc2OkKo5#DkY*>ejzh~
zMVOru#Yo?O$TnhY<_(_euZPLA4c@NhH(wS1bUY$gYq8O#PKArGw?NHMO5Z(0auI-R
zX%j<lV2k&sCWbR|g>gM){R||z!|`pZLy&jeQFC2dm_mB<+XBwDlzdtkbimm6K+%N^
zP<M6=gksZT-{w$7tYVe}vi$avnF0KBEnGOuu2B{r`VmY8>%|k~ZQUq%;rq~#$)$UB
zYiB@jGDL@`uZq?o4((4JwFfo^Q=>2a))(n3ESwkrDTA2KfbR-za%-U6c)U-`&$;$Z
z%HvW?P0)`Nw=azx&)vjo(d>`Uu*@WtK{Y|eVdfx1KD{7Q8*aVi)u&jw8&W{CW!^}v
zf35Vl!Xq(@`z&kD6dZLlqS9EE(h-Srdao%oCq4S?lqE1g7y)*A)fS}|ABD2)&_CBg
zFiWI)3*Nt<L6<xFB#m%&hl@_uPZ?J;N(*!7VW{<e-*@%YbE`989-cmQ%z{u3ATZrA
z`Hs8?`MrXzxSVwutTH1S3zJo5H<lEH|8Dtsp5*%7JP2+^FkW^r2;A2*9<m7<?)?U;
z8Quii+KD~@ccP!TvV>ev)R;DGu&nF_B&3Q)l(@ALqo@#i&ui6>(f`au=47u04ri1o
zMTrV(SOy*bun>H<iRDUHgjSPbYuahJo?QK<3*!U%2|zrP?%*F_g{@;aKRrs$rO5~%
zp!f%Tk?(3`E+SVzgn1)DkU_57e43teKZF=-gAX?%X<KVG2CA<gt`vJ`u~e~pob?i4
zJ0*^T{G{RQOI&8&)^=uLtsm~f;#l6qF({`W)BBz<$_agdSdk1l?HhM=CgCf@^avfp
z$6HRr^xO_eTq@7Sxog*R-p$MVs?Qsi=k6m>#r=QnW%whdQ?tcfyy?c??dWK8yOKXI
z{b8tJ)6Dcwrhx5Xm7FMS`ovusP+s^(6ZPaYV`S_QZ5fzSjO-(nZBKBIm1bCW5>uSV
zSjB6Ha|!OMhtIu3Z-iYeW{~W)?opvo^Soglwu$+VSx&Y$%c>s}_fCq7>1Eqjn+o}u
zR99hlN4k(kCxn$Ti|!nf9k2%->16?HfBkdz0*+hT9AV_;@iV1kFIupp96aPT;N5h(
zo(n=X!986}7HB)!(o<qaR2Os%4Pyb${}41YzC?3q4^-5D8%>hJnqa1??te%+B(_kE
zT(@4GnM`Y#en2cq;<-d*ATO0phkk2uxsX#Vm_duy6Xgdb`qn;|PRl(mB*pV$9)}Pp
zaw;e8)Ar4IV4QsN%n!zY7y1pLp4@5w0SI<>yzT&CT0-du3Tq+3N{#1Ca9gZKM?Shi
zWb=TDDY}S5BvG*z9s`toJ5-IPryoPHPQ*K0@92grckg9;e466*%`NJ;4-ped5`92?
z|Ki@QZ!vm4C&=maTZE30(Pj|t6Yds&etI=jix=!vScyh!{$$+zmMg>(sq}mK&Vn!T
zZD|n!E=F%l+_ZxZFql*2w^)yz#oNCFfb-57NrWgh@(x~2LT;`q3@+7bL@Dj9G$TYQ
zLwq<%v=bIYdA;}t2FWKUiLT3ymcna>BWXPwYMu*tFj2ASp8~|47QcHa{7go3=g`@0
z2dwSbK9>5<%be|jF{1(T3Eg^>BO>X}oi0dWu~o1>zDw!imviK4Qt0faKQn4swr7`}
z4i!E^@4#!}nB>S0poVX5YQ!#+LvZ}rh}J^Hs<%KP3y=UTMBF!mMYu1+SoK?`pf<#D
z@|6};uo$;Kv6_mTl7044{*k}c$vb#OwVplH8=7_U41K8Wa+FZ%Xc<*P7cZTMKMh>r
zg@~9_(zRJ*+M8uv{WCwH<4T}j1j)2N8LUq#^A^tC73KW*0i87!Wt)(7Vm-VIhd=81
z?r|LN`!%Zk-PPa}Qnmga(%~QwZg4mr{q%nR+&XPg&_t=2Y})XTPQh3zJw53bCrU~P
z33Ij`X*K&SZ*BG!>KD%GW@zWJ*72pI1)p@+1bWUtRx<2N^6t2?mCyU6Jl~gF#`Cu%
zTjy`t&V%0mTPL4p?i9S26hH-g+8>|8ATh>}$$$D7p;{4ac+dIYG~4>=Isjd$U`<p`
zXUL*WoxenUuLx&3`J@BXMoe3_7@Il5;E5L$ng9Uv%|>1sRQK};hXYdS&T&f}0XdPQ
z%a4aL62pEM{kb!^Rr@$X{MNT@OzaIkz<ab_<QNQyOsq$3kZA#F^Sp}*&%|uBaHzDC
zt^PVH^24D2PZTvT)Bp9?d{$F~85_>+1+`nLDf)FRACEx0nltQ#@?gP857R#P^jd>C
zR~s*tQp3ah#-mo8n+*jK5<bS<QR1$e9xLdA{v7o$1SjH&^c&iBoGCR$BoGD-$kn8y
zC;Tdd_o&oZ`;I~vDM<9Lgh)g{KbdFHdmwY|jc2W!O<U}$6SA{?F`Vq)lSDSWxxO3u
z?S%$pFY7Lyb+;2W+Yiw+WtafE(P*7Z&^}^u;J(J~L)J-(FfD7Es}fUvyz8=gR%I8y
zjR;%eoA(e&NXqv18ImFKHon+#ZYO&+NbuiB;%{s2K7GDr-eJQ_V6!l?*oX|8C{Y3K
zxSR3*m9A|&e)&%_=_NJOhxG0=d(8TZ^|9_*1|^D{9hK%YJ|i4ee!`RhB%vK)pfeA~
z8-H@cJ}{Nf&3R0DyN=2+s1xf`hBcVNFCKDli_kO1x$LTpY7?-}g_mS%?m0ML5P>6>
zdn%EK9NtW<*f#o*?ZEE3B8;m&@86T>1ax>9cZ^--5=Xe#0g0nuqEJ=`#xorsbt7aa
z`(vc=K$c7nrzXZ``@D^Si^PVGnW++m>m?+Zlb@fy_wJ9<%#~V5_~_O;E3pM5%H}8o
zFG@nSpy!V0s1<({vuw|JXJ%r~KlAt7{z@RjsO0}Z-f8-roim_o1#H)Pw&r3=y$aV@
zS_A|_ZKA?vlaIa#wd{E@7k~9zC^sg%4>b^V9sIUffRY>b`R*T?ti@l59Da<sJ5;*-
z`yOgaK|Clm0dP%|1PN5yZU6X42?F4F(Rqy*w=pTYtvxxX7P#{fKQH#7?y)>r!`I;A
zLN<b)A#S<4xmp`$L~-~7O$qB%)wWLbT6L=r-@5HBb%A1^@*(p{uNZg}JsOYJdF_>X
z#W_TgS9Ji8U%%eZk;PVFVjBOpHOnAXn6juUUTpKb;UuTa_{l*RD5MqduH!QQ%-!ym
z;`dl6g9CyUxXkGh4_+byrW4deLkm)R$+B0)gyq7a1!tE?87`&L-RIv5fS>=KvlR*^
zZsv_294D^7UZDIrw4f~s@>GJa$>wU}j8rW`HS6-S$Uf`2qPH`7ERcbpO}uaxSfE|o
z!iC~k^zm0CqW8m(Bb98(oPSRrS~y=X4x4I;!>4o6I&L1}BLp_I4c|WNBy@K$*4JmB
z7xp_>b9a@~kE0~sE?dzKZEYcm_URY_5Xd>0>61Z{S&;Nef_f?T$XZ+Fn8A!v?0j;H
z?{Aq~B>&aKg*@A+AelgMcvjyqacOtMU>b)t11X^<wb7pJHnN4d`NAB9<LA7ITf?Lm
zHAO#euod7wKu(ENxD58!Cq*e<{nLUG4`i9p+!)_D>@9mXlV!BBD$tWS?DXP=?(uo_
zgF!Ap2<wXS%J?5Uc$A#;VL9g4aO4jgjBl2w^>#~WkpqoEhHWzrzp~)33Q)fAYT~gs
z!6O%ff;|2?Jh;)XS@ReSQ=*<C&{S$x{xI(JtK3mS-*$ojpX%B!ZGAcM?uKiYeOSzV
z9n3@nCc-K*9?x!o43TZV(vzFRrTh&6rd6)=Bp#C=FwvSU0Dx8?s~ZOhwMob!XXakI
z{9H6c(sk?aqP_S#w$}GP483Vi5l2CDAHRGwm|@ZJ<jGLlU5OPE(3i6N8+eAzciYZ?
z1gDxXq@Z+BgG+(al;ms!QTtwnLxThJtZuWG(rOdpe-62snvUBy!NA&Q_N$Vf7`iMa
zDik%7OplHcJpCQ$X>3)sFI-~5$zc1RoUF2;4eP1%LsDHteedjK0Ni34qEv6SY9zTM
z-=Sa9^7ec~{L@$sjax<lr+>UF!hoyYv>$K2$QI!A*z4W$(-0QJiaXP~KVX?;$;7n0
za<zZSs%wAP6>%wJmg5uF<gG+f!AU}vHCZ6uJ;V^WnRz{v3wfE9o)8QH`+VY(K?H&q
zK_9>F*0_kNNIlB27FZF5iJhAptref4#-{BtQs*8g^^Ew_nfPc94PsY}bQ;2zvHi!E
z$wR^8BN_v={F1Gg*N(!P&kP<QAC$kjq8XJGiMT_KEJFPTgGczxI^pRlc9{nh@;Agy
zRnTB%HfC94;tobS`>~HTER1(*Ja4dlj$!!aar<W#WjYIQr=*J-E4B4-^Us*hTW-~b
z6@;gzpn704k)2Mt_{c0{Tja4IIOfZpJ4apeh8hgtjHH8raLwyM59;_u3+>FCaah#%
zL{@swS`f>=GtOtCmH>Bu-F!%1<TQDza%yXzeiSlUt7Bc(wMNfM#jCeucji9FBFA{N
zYX$a<hjPKbF>I}!JE(K;20*KjCSqbi@I~`2SobLZ!;_Q`2Y!&;0hv<k{FT>tw3X<8
z!adWPBVG4yy0CEnDPAk5xePbGBf!RC$#@2-IHp$|$Jw%m6Z?R}qnnNl$ye<kTmoKP
z3LN0bGX~1GV~}A4qOl5<qVcgYJy~CrvoP5d-;<B#sAX1M@AjKWr(wx3fGN^biaH_Z
z0dm(><2g=K>2y}3Du;npOuUU8-3aPzat2GToq*9kv;w=8Grcc}_EUyO0?BU<@uAMu
zU6++P4X5_@5KjXVJo52c(os##Z>uP%pBKrD=WF`3*3%gm>VAcXekmaFsiMm7K=*so
zsr_ME!qD}(#&v!h336(Zl(Q4cGPiF<Vj%pTCNd$Gw^V<0h`S5k(;xkvS^md-$0&9+
zp5-8OKPHiTB*LBf=zcVn356$#Oc#8nZUypqDESW*IUSC|Khw=_|NG8`bc5TLm{tgV
z*i<eOJ{S(`I44H?h$s5W@(BzKWJe%!_ab`ffcj<Z{zjDXpl_zxxwMEZ?iN1tfYax*
z4P2h(vfAAvc>7m54Y%lCVb{eOqx6&?Q0^c-o8q2M>v^q8Q63=_+xTB<?+c$#KdS}H
zWTSOcV4}p<HrU*pWOLdoeYlPN{Ofb-Xm*SeeTg|EhI92xtF!CTTz%8+0nua`E7TnT
z{U_M4WKp<SFn+=sOM(y}MI{&lc@ZZPmpeYw=#!Q(I2Jw0JkgvxJOe!Aowwc={PE5T
z;OVPxHbXlqUDF0GvikbSMNFoCq01b1nS{&zTlc+hiV4`Sb92yzQP1{7WO&M9p_Xg|
z=#dwlZf4=uf>48I(8c)VFJhyIZB617O=Z=3U!1TKk~%mUGh`w=yq23PTN#sZdErMK
zFKxXuiL5(-P#A$TJ=sV7{h-~`JVlc17ZB>IWBL&W{0@L*x=9`>I>fLWAFHZPB)5xW
za3mFmxYUq93F1IbFc|)4bW>HH<><)#!8}#MOH_VnaH<U(<BsupI4u1^Mi9RKxIZfQ
zvHDysE~dEPHa@pCY9u2Mt;#aiRGw-c=~G%A&$54cBHoszZMWU9C%)4>B9w>KLZ$cp
zAo0_y=NphZf4=|8UEJE<c|Z!oe?y+uZA+3c$k4C-btOQYHKbvdJ9Q>U>FUgTGf6te
zwJ9}=t^4a^zx1Wv?D(rrKzhdot@@ZI`tKzF@gb-51s@J8y?6Z07Ep`Sq?(*Zle)T=
zfs%0?Gi*2FulEktM|-igKX+<`>CkqdHUZ0-#528InGXBSi>zlIW@ly(wZyy_Lg3(h
z<Ydeg5v8d-VA^4yioblG3{O}fAHi!b%zuhkpjkS%H#Noe3;vFmfuuM?S4N8Srpn-B
z@e?n2&(dE7*h|>9-7p~-+~`?N)vy8ldwOAU*i}A#k=9Sve9&Eb)$&ngai3$Yghc5p
z&w{aRBiCVWrBY&^B-FYI)%dz>)_M)rvv`_q=jNyuxtyk`I2C>@y3C7lKS#bsVC!r5
z)yUOTvZy(Hv~bn#+50*UC(f+z=ZF*c->u%CqYAx&oKlBVORqzS+v<<10TIf!$!(Q3
z<q99dpY9K13=iAi+bnxaP*kEUh|s|xjbtkDN5)5z`mHidPZv?AE#$vgS64v#sjgHC
zCIK<IhnD#Q+}8uLQSxw9Hj$k!k!#%9&OM21We+wb#3?G=YOi#ihyq!1;A^;FVmXL#
z^hEb+YD)nLTjybcy#<F^55X=#^4vWsjP2tiZ`P|~#I~PV{s~{r4^!FA8SGbQ{3R{B
zHL__viJU3Gg8|@H0Izbu{bh`M#}G+Poy;spalO7gCo_H6JyTQm!nT|DO2^T(l%)FS
zY#VR>{%fY)SQI0A0;ZC|R|Q{lr2Lt}{n`ykeyi)cAHbXH4w#W~0;6JM9isT`jNOZn
z*g03cRkEnpC)0-Th(WSaO1zLtT13*{?GJ8F)D{QLz*oz+A>Bf64D7%1IJ7`LgX4n}
zb1AI~-^GGrjxVGWxAdr`dA?R3ay~lF6aF`9C_q!8rn#E2YIITIHr(kJ`*neEcW~|(
z1qM>75-6Z~H&tkl&g<UPoTStB^05<rjDP1UlGCQhXe_L!3+BN#EP3ChatZ!^bGrsW
zlEYqO>RbiAFNE|+)&(hgL&vdfx^;&v`iRMg1Ee5kLr~EkT()ojJV$XZB7}LNyF`t$
zl7{AiEK=A$JlrhuS*<luFE1Cy8-lrZC49zvn?^f}q_1~k*L)KlP}wAYRf6EZz=c3k
zu0i|j=h8CWdiHz1p9c-Y6Tb?gaeOs`dA;;!@>2Ni^%Idg5L4^_*hzkH+vV`I?#E_k
zMMh|<jgg=GGawCNtlJhf7*hH}JrkJtG>FjYgJBdJq-+1MO4=(JE#D_S4iQxz3gdE{
zoYgUwH4ogHeWNyba`XieHKM2xyQJVRR!fU6GoT&NJ^NEdeCp_5HIb>82!WGj;Q9T6
zOkGgrIPWSrq7bRwyLz&UWZI=!v<YEC3;={#X4mFIOvOSlUp}cs43Tji>p;C^ZqeC~
zK9zeQYF;)8SrjB=U+JDCk{QzxE6bS20qSbe0Z#mh`d(xu*j`J$BGNBCl7E-1nDCAg
zj}>M^gXWrd#v^i6b9GaW58qR4AS|i4{vUv_0#O*68hthVs%YG$-ftHb{a%-QDTlC@
zfB|=OS6zoopr0QM0@O(L?nm}o;=;9R$p``3e7nAaGj`}VHX6-!Fpw6;%c5`lCY?XG
z`(7i=Xve)WuW0lZ_?kX)g2=(ksRO`3ruFvcp|v~es>Wal8Oh)WsI8FbdE(9751MM9
z!gBwmAA1MUVQKye{1n&$Q>(Yj>T>jl+wsm4v{wlmRyCz}LK3Ce<Y@U3+Y*8j8lpXV
zcnh_W@-B!)y~XkGlSG$-^Cyal-#AJGXL?M%IqCS^60B~gwm(S_EjW{O>z6b%7JQgz
zA7ks%xN$NOHx&#Yj$>8Kqa461VxVnnj-u=}as;cB4P-q<ar<jncV^#n1DcZ1?e7JL
z^s+YX9x5^mmNqhPsF8W9chIh{>eHKu4}-eIMC=M+nyrhP^pG!;a3a86mzzY^AO)S6
zD;&V5b2J!Bz_F?4xYsmR9E!f{dDNxiXV36pOxhAA`%tM>S>z*hZ%u&S^DQJQ7a*Fx
zK1Y=aSHXwu;u^%zZ^MS~VVE;5Z<A;5x9z*&6RmjLm%I+OP5b%zKRjU9PzrgV-Bpw5
zL{716zlT)BHKaNjH_ahTIvq9m7>KZTzjnQ`0;T0AIG@>^r-t;VRw(r`zXHq2oTc{q
zC-K)bw6tXygR~y6o%TbMMjQfkWRhs8yf^J(Nto+mu=e-O4H@Y21{JkvYIyn~<Q61w
zOWOS2@{*cDiFOl|L3|5wM#geh7#tRM=D!!Q`63=0#F%NL?)UXS$=(YW^DZ1=pNU_P
z#$=)zl=nwp6U=`weE@F5V^7>jfHcVdgxi73^CI@oW?pXwI-<}<g+JTOv46h(_ByqO
zhj(ueQpaK*99`y9zH9zop3u?t;;Z6``?`8shm*P&bRctraj!g1pMWuK<Qy2^<)KGF
z8U)16kvt7T^|vJsj@Mb1op&9ES~hhgUtd9STel3Z$?o<O@l^Y*dH6$|hQ8`t{gGkS
zBD(M^We;AbrT8kM+^fTk`kMCMSlxr)!o`o*z11oE<-0>LxHV1{XnazXR_9gPoT<d2
z!HFFdihqB02F_P8`sB%~ww*?|w)sa{rDx8`6!o%QilgGba~`evwpR#d3S*N)qw#K`
zy>F%;qn7bkwUn>8>fBqHezxL!<hGVX;ny0vpw$|cqZ&Mtcg;jE+($3yDo<URub_%*
z$?x~V^Hh|#sJSITWUuYKIAFNyU|<})B>6~|wf77L-ZJlwLZHE2SW&ZDJe#Y=7%QQy
zMcWa`l3E$IKY`5MBucQXaRDYDarUDf!Kt+Qu4E1<T)Nl~9M8iUWFvJG>POZ$EdV5t
zr6yX!O_}zi`VT#NQucO$MJPz{`9h{4TUe1M`-%`RnR_yMZcDj8JG@zf@h?eGGy_C^
zl%!;1xtwg8M`<|D+G1RMs;iPJKV&p_)i&<GaZ_p2*=Z9BQfs5V6|IwNNr0ie{L=^C
zo_pTi^WhrM-_{~}M)Ql6joKPggbvy8iK@A_IfzxPjfHt2gMrB{(}Vp_1sJc6KdvyY
zdUo6`!L!L)_g;cZh>)3=={DE?Y=4rKd*{wBBW?~KYA0KsZ7bbnX+5(KS|ylDTOwma
zg=dAHkn!Bi1`4chl%F)bkG77?(DKnq%iY_W=ybWptcGPvbM(VA<rYg9t?tutlR!(g
zrxGWLA#KxvS8wlqcNn#_849S%hLIw1LtyTC{>#sH8m-_rO^>&mx^1W_61*ypl~%3e
zG#$`^oKAJ^R*63++7(T|GU~Wk06Xf!>>3PC<{ttb=I`L(A%p_t$f@CDH=6U8vj6i8
zNXEDChP7EJVHDecn#x`LOnd=R7aj+1aN`R4v}djIxCP(W=9%!R*p`Mze=ToE*Q5w2
zNKrJ8^GTg~qglO?rzZNl?M_vbCZhNN^{#H?o6Gy6>>6Q7)zr~tsXTRLDghO2G-r?d
z5UTTbh%iG)y(44|ODD(LQJ7048@5pjA|Tbva2EPc7<H7JB+<KPUcx0Ei}(8!@%6dT
zD|Dul?7%Sy6k}HB-0d^)F!!De93y(10Cg2=V9Of>Bj)chVqgxLH+dxV?K&O*P*Qj*
zrP$-{$5gYXx(^G~mt+O^a?CUyZ=<!oMMIh1-C9rKJ(@e-8egCOM+U-55q2h_9N+jt
zbJ2_T%cfz1_;@G<b)ThsyL)mn82KN)e&&a^Qmcm08+Pp7dtyG!=i~w!)!>vL*xaf%
z9{z1iB@>bSf;-<QlgBr_&Fs7%?N}+*^nU4ePa2+kG_PAa??KHac$c2C$ZImdyYKlC
zntmx`@87a+Wq&7+3@aAD&NB--T&|)#^f^qxf~$gI57h1_$tD5KQgZit<Gx?$fy<?K
z>m<2{l0?`m2)!XJ?=sK?mfB9ERvs|nBkrO}5fH%L=R%L@Pu31(nF#9IzE5A*R>&XW
z<omn%D%oa}gi=)9x9PYe*9%ISKcA?^!Mrk{4FinIIvzXhnfIGV_ZFhP_>~P(euKxs
zYbZRQ=<GY_`cLvi&DUf-j8)MeIl3{TeJ-kPs+2EpB&h1$YHi|M0KORy=_W9TH=>((
zrHPcFEtGniD}RJ8SUX`k(V=eb#(93tR;69gC@)*EdyYwuB1Bpld^o`-VTvW`^R8NY
z?EyJrtbe;35zP>#7}^j+&@73EXjsXHVQTp^q?g4UyAKAz#GnqVhwk^x>?sn_LK>es
z;}E?95?9aY^O`oDk6v=*sp4ehpuZwopKiFqY~4-%(fjBrrvy`}Ey9YG8#dk?{;H$h
zSihaP>;B2$5Zw35ifg_Fa(a?ZAN(z-mOA#nEK$Gn`>-N{zIDZR)~4D@9t(fT+=>B4
z%6vpF>nc9_cIge2aYt?i{Vj7UG|(CZnVF=uJ<U3@*kBXf$)QN7-NdaH^{t6*y%g+!
z>bM={yk87HS(kG)y$mF7HO)AmdORJQHM;fdak1$@#U~7-?;z;wpA2@r=nNVbGfTiW
zq$WvE_H@i8H2;JP{qK<)plJ&NkM&R*=iN=v?0~tu1C7*1gjKvJ>0Rw^_bu)Xf#j?9
zOFSYa2h4cbeSK(#P#vD6JMh%wtKLT%hQK>0z{4oF3kz#vAGZIR%W$(K$<q2cZkZDn
zi7J(RrQ+#NwR83C>DachTHHhi>)7n|jwxK)-%MUJ`=##EhteqyOdWEdU!F^R!V9@|
zt{tm;)XS55W7Gz5K|M{=nT*Q2Vxm`@9vQHL)x2~a4nofvWm94WT{HHXsC5Ao3XwHM
zs<5<Op8aSvajPQg0296YGJ@HOy-lr0rxd3KOZcK5j_6Qz+|jLvQCvd&u0^~^1{ZHg
zBej*Fo}mv+DbBDzFld%(%d|2YRRHD@g1J%!@U?)kDr-bG9PCI#U5xqVqU#V@Hp2Bg
zUSfOmYu%hIVkjE(#TqhVm@d4SIk*hzQ{4M%C2x>2GNoqoHiqR$^^9*8XnFjNLw(ae
zK4aHH5ku?XuspC76j#*NU#a}bK5F}Y>tXIrU4CILfk?h2n!@3>yb;TTQuj{QU!M8c
z<~mm%U`zVk!-o$Cr+9|4Lr36@T}n@9@uzKT-^w4<mx|he7x#XmsPg}z>b=8yZu|J*
zZ+5yOl@LuTqamcBrJ*fE(x!x_w09arXwjfyw9t_DMp7hcXfN%d(q5|Pb$0)L&+$Ch
zaom60_jRlE{d~^z{eDevW7YhLi6N^N<H_;2p={-UQKu!DZm(3nbn}Mx@w>ev-Dk=8
zx;`&K?HM=W_j>6DC2ApDQ^K^fPedd<jDrb%6xZvs$fZKe@D+k}F3p%gp1NZ7PvYA^
z5h043bT{bGNwud&n9OiMl(<vP_k^04Uja8Z7{S|Gw@#NhdjGN18g6qVx9mHw`n+F<
zPtgAT`E-|kEwc{DHsNj^sF<=>pFpWi)VD3B<Sx;em~QI^F|07`f+L8F2ug%$r@MU=
zOQfg1Acs`rDh>sDR#w)Lv0sMUY0nYcQ7(J6=aaeT>t9W;xr*_;?+TX~-U@DlB9qcw
z5;?pmxyDmA#rCW5t%Um%U&mZ}1KRq{B@UlBtrr%L8R)qQSDfppZNVlAZ$b#0-S4RA
zjnI45)tBmG*IErYdLHQGY&mLnO!ueGtbZWg9D|-=3npTX>xIz8a}OL9%kT_89XONq
zSDg}&(CvWR@aBBMogUNMQU<XM=631lppmR>e7C_9w!n{r4FgVp2!o2h=#KmWk=WDk
z{O;lIBCr~p^Vn%*m3~eDYX31ZOhHc0vF-<G2tI0WDmr1jqpS!21oP{ODZ!JUM{(UT
zW=5gsG;p@sOULS0M6g0Q9|Z8YhSGB>E5bgY$J8!PCTr}UCTFXOSGjAZY<=!ffhbEt
z^?D`y+BDIq{vEaBY2_JbQn!~nk2teE5}!RMwUOeuwLO9AgLa7Uo`6|dQ!kk>7QtsN
zlvPapy<}`hJuk>JW2^7aY!I;S#iB?Umw=XP!4&AMxe~hvRiykM2@|K>)`toref}q0
zz6&0IJ*ji7^L#%~9&-gbW|JO^TXXJek54KPwa8DBv~8O3etWH8W!^2dm6|qe=826?
zyCiGe<sj{0oGPO4%^LW1wghbmy#6ql;5ml$pLLNiWekm8U$Zs9wyZred^7Dp+%yFC
zBTOv|Y7@ns8PQr#4qgB_jSGBZR5z~kwMWN1@M}R~fvK4X^l?XxjzR<+0%e@F2Nq?m
zPbV&Nmn5)=+>{0*b@e_|Ssm~TW73-lN{j@+_kajhJxudUXgm-0+`cZ3ESht6XNSoa
zTVL$qv1*4QRRv(MRCIG(W>Z{Iwi&O!B*J}c9=K+c35j4Pi%y>b#gFEz7sFRiZmw9z
zthysN2dSvD(-N0^TVB-M_{0RK^1F=J;UQFeD515!I@&ic@if2%EsGi4{KPlyId|kW
zo3KaPWY5LPznFIZx_i)laC!Z@b)RQbDAvkrsYqDC{np`6t!2LMLylluMZ3&bC|cKu
zm`1wt34UOkoL4``zX2%viphIq!qpBBX}pL$u2~CFcVeS`mOv9_>#y$Io?5Dk<e{Fk
zCrCUwD7q-?%^&U#h#L1OnT{{HucJhFxzS3?^c)(qXwNh7%-)a94IrEzvDj~ZBNz5)
z-fWz?&GvK~Y>?mkQvMF$`i=#UNP>UUT5zlq1JQKiL!t=jt*GB&_ulKrN8EaSvZZGW
zg_5W#|F(_QQVgTaI4-|;99y3%63dfvN3o1rr)P1;gwhwrkF41a2$u(%dcSPsx`-DO
z({%lCSPqe%91W}0Al*1C+_BxS8?uYK@P3e@sfc-&AaChCAK4bd?|1>VQ)L#mG+(2R
zMi%-27jj^EgdW?ED7pQ6$9}XP@EA?+Z=QZux`?*u*@THBTg4vrog}k)pIA%n{P1W!
z=g`w%7z&gz<C+ideW8Nb2*MKrhuVw3RCe6f!tA!!8ayPQ8|s{fQ0U?R&bkcc6`d=|
z#eI71OOGA@<LH1J?6&num*P+p6aPg4LwuKu17@;<=;)(^g_8jHDqt8hA5rNy;nmJi
zT&;qmVz>j8U%d3bh?XhjmJ?rgTa{zf6E{^TIZUVuhW&yd1&Nn%?x4iI6_^)$Uj;}W
zIk`)7%hXU>HK(tE>$op@QL~tO+b}alh$ne}i*80yfRg0Do)C4?P-h~u!BgagKd1id
zV4eFWY6q;;J2)<m=J0>(eErVPqxY@+qVa6Ra82>=kl=j-EB8w%o=<$ka6ca;S{Y~t
z8l5HI%A4B$&4*QvQS%-T;LBS&XZA~y2i8g3XZK%u4AMs#YC+Aq*(49&KMir^7{#>~
zH?yu}f_y))ZnlKQ?nAc!#*jo9KysY<i%*q={@F~eq=@6adz|wSZAML+Ueun|g$~B5
z?Wak^elHR+#^-Jhc)f&Os-E$C^}B6+=H1^&90mys$T0nNKaAi)AB^}~J>*9f{u!K+
zc0J*?_k8>Ek{{Pe4!o~v#xeJI2#n4S2jjgXgH!09Dx7hbYPMV%g(>04<xf6$-DCE8
zM2c8n8ALO8L~0@%Hf~BgyU1Bj*N&vvsb~2LST5^BCEc~H6-RyUeATI9oLU?%&Ur4R
zLW1mIQ+R@a&5BS-+vGPXTm<_>aru`}N%}l|zpr>@dhm7#$sZWGiS-)(djHp9uet^B
zQ`?a2Nl-l%n1@(LJcohyDq*1RC6*_)#kI+`*$9|Vw_gF+$X}d-3x-fG<HxmKWM?rt
zj@+6Z)eAFdz;-RthA&5-2Uto48%CuTdb)MY$Hssp2zKk@I0ylz(nRP$#T?wzS4sDZ
z4MVjuxg0?if5nd*3lUbA8DY0c57||QWIfvJLurs8rcu+9G__v0fyza4rKujzdf%9F
z$7djR88f1WIkR-+>u{bZ)iF(ZXZ05T{2yAgMSb53qOSFJ`sz$*_}2tWsGTE=L<|^?
zYuru5jtg78nVEqzgLa7`(h&GpVP^r6;^PxDOYpWYEAzbCig?1J#nBUBuow1L4KKz&
zqNV&*b6$RR`$md5_QiM#dt|MlQB=mzkgf@?1Mb6OhXZe_Ib@vaMH0;Sv<aU_8Vvul
z+e-iQO~Jf)2@7VWgyiR9%pf}Sbo7_7g;aXIgzNh&Kv`Y)D5j~p`9LzD%@8h;{W5jH
z+{M0;T;BFC_n*`0#n=L;4w#isO{Zbp&%SJlwd)qB@PHO4LW4(-EBb%JN>{}wu?%>H
zjZvyTz;2Ih!xrd@1SK8FY<KhES!qw#ww#=Ow3{E_&^g_7>+z{%QEmsBlHQX3`-;-B
zhb0<iQx!}bQY^e=rnEnAab9u#9xlkee;+h0SyMqj2bcOV5vgL)J4Bv+KDX=R6C}O_
z^pn}BH<--E>Re-@l#f#h`!eUEj>)f{X-Ld|DgPf-J5L3>ePqf?p|ZU^6fuwmd$z{S
z6JlluGLK(&z3YRxw94<h9u%ygohG1umL9)3Pl;|WZQ+Ym+c3LatG8}cT3dN4fR&F7
zWx#ZA2O43SIppK>fgaCpQ7;uo(8h7?Y)d}Ora_=Y@2CD;s^`4T{BGNhslGf`wxx?a
zxjGS&$s?GZHU1EzvyGq-PIrD&%IAor*CFLTkGA*tuU|Co%c{+qnXbxxR%8Czc~@gb
z?D@*D_ImU<@JP(o9z#9Q#b@&F_BGV&Fn@;ODObjgY%xL;z_fqXq`k-kfEkyv@n+}V
zsu+Xi#f}xpaK~7hTSAQto?|tFha7~LPXN@$QDkO&_9tPlVQ;Y!r8>uR6JP51kJ-wG
zHLq>Ym4n2PFzp9t^%yXbx3v~NK2Ry1KQeL0L`GB)nT>`>$;tkY+XeJ>aReBC2?Ou=
z)hyVP7(SSIwG7wDV*c!zGK2B_014kMz!s7<qJY`A(yb?41TIggiRM1`=Y@;AIgdpS
z(=##6{1gehGd8fqO!0K+bYrF@rA>5liF#DDUs)dwRZMng&I3~o?IQ`w^xb0};5)e%
z&mvb12b%v}I<g;aSWJC!fjN)ZJ?C+a(|VdN<oD=ZAY|K6rQoMejsM6JBW`d$c>Tt2
zId;{D{B~;;TZ$cU7`<C@O+fsHmy#hdmxV93XrDQos-6_j@e&}!6U+?n^o2qRl+!F!
z7|n*;ukkl<_4oilxs3^?%h)~n5S@0pe(HvVnEF8TG>)80s5)Nlc$}<twdVhb|2x~}
zx<(|pjg;mmzq~zy%iHbU*h1=$-1Kf;P~VR6&}0V-nQ3Ya*N^6DIY-A&9zV8Ub*-|k
zI8l^wYi-*YKunQ@rN}l20jkb0^@2tb(o_qkPeUJCAx|;J;6oN-n=8Yn?^KGj01lg+
zNkTe`<oKJx59YROWTv`K2B?8niN%p@l4c6{vXXWL>_9m#@2fZ=P0s%9=06PI$^p{$
zz3Y3X*GxicQ}-GfVuj-N8m@ZoU(djE+I&WDqhWtli~tsd!w2rBkX&g50uH^`Vy856
zSih7$x-H2u>-<FTCpUVg%N?{~W*oC|EwOwP^+(soY5Wpr>|SRms`n2@19c^mq(keb
z&a)}!RsS8l<Uz#Z2twU_c;nXeNuf*`v{|^0t?Aqjb=N@>yLy|0n4<uoJ@q>88BjaP
zdNHHihv}A&3(4L;F`B?p>f<A>58;XU7HUzKnIw$$WsDrFEIMU|^c}fE?ryUD_`Vnq
z|Gs@aA2}OVBbJheig`CEi5xqx>#^1L$E!oyf4=+(B*M&yN(P*VCX<?odfzHp?@4FX
zev$H5p+J4DXMenvME9?|<DY-g4NeSi*)^-|^p)QGIbGD&*Jg1^XRu!u7c-HR5nQXE
zx{Y2>8scD!V(-tN|2EwP1c3GF?$J$~$nr<}bufwJ5tX(bm>+hrqfwgZl$)4*Q<AkO
zL$sx;JnHAoT|Z-e)@`I`q~CGuxyIPlDntn}if1%~VI@|AzIIcbDtuNQ2Fqi1plH_l
z5@~i;!RclbNEOxE!huy@YRAAv{bYj$%=P6p$1_a~K)tHAN$E9=9$E%>pZ@6l+H%)w
z6q3i`@#HRG0kyRu*{Kz%{-vCoF9=mJvz+nByWZwHq7PmRVoagaYn}E{I98ek^3}4q
zkL1W84Ckqw5#Li((H%#6|M8C;Kst~8rf1&wqO|ka{!dTH+^UpZ6u9vAGRwkb-m8=B
z3qnulgb`6<6KQLG6WB_nk0~w9fiurNclrIgtsnJH0<nKKt*uC_y`J$&>E$cj`+YJc
zPe|4T?$gSuw>zX47UC3xKB-36ulc2&GYWz-5OO9(tVV4!(?C$d4>MByhLr^PzV$z*
zM)pJe<9ik(Dn}KI7AKz<NEjuwZlO&lI!w|9-dCWqF>xf8VS&8D$j^U&^%Hv}n~fC{
z)0d9pA6_8c#pG6=eg$%5o~~UxcbL|=5ed5${h6KyGQ1BA%U-fO^e5ci+LBJ;eNla7
zYmonq(t2$2yiJ7Zg2W|?=@Rd`Sigu@+wE#gBhv~Eh~I0lEk7H9piNW1_xJ6zvk_0Q
z`Ax)bug||mb-2IJD_~!iCDt&(SRq|jCUTS*?<pPD;NUO0&AoTbXSg`3cz66+Z|lQ+
z!Ob#g@=+grdWg?`a18dWD@}I1lZIVkDJ*r?uM#r`NTW~Zp{dB3Ozn9@f$D|+kr1#_
zZR2+sbD4F{_mLa+Lyysyx_fD|V2}>nB1oD}^Xv}NhW1)7L?q2kh{4v~yFT!R$Z-lK
zU=|6pI;?bE&u1^;>a!S{ncv)Y4RM%f5tY!h2lNeFZ1*JrRBGd_Z>%fNY{6P@4DAPk
zeN58zfi|&=VH#6tckHIkMJrWBKk}0H0>!zn863q_UH3c?=zq??r+Cbt?!MCwMBLpn
zrV3@4q^6MZ=A+S4uXaDTk<144&+u_amV_+7GQtz|9&}7t)s91&-~ae;xGjDfxRWaT
z{r10h7pHO{%+fdbw^RDld9iEE5$(zEA6Gv4GE>AfCLxe~%Hl9hHs!;QbtHANOzF3I
zl&cfqp_au72TewwECw3c+jj@;T%e8?;q?q~(G@I*{j9X9Xl_A9z+vnj#P1Jkm&PwJ
zi(f$FM?lM^Ec0C<XUT9*p$o#bU4bd92cg|tE%NAIfk#UdJ0+H_A{+Z^gZF-g{eDI-
z6u|XkrHlwXqsQpwbJC#2q1~yhcT)S9yvM3e{zJs;XX^9cZ{Je_&qrf{F2`VZ;=f!T
zg%rz#KQ#d|jw|=Cu)FKQu@+PYNcOjVGDtW|XR?@P<=z#iqC|0K?`sc>x9A67^k_Sn
zJ?7g~xAx_?FoBp1s}6m_zE*s!7TXK_S;$U{&P82f`Y|cb1SWH}<#L@+DdF$m9bR5R
zMabw_FUGFn848zrbZcGAYN;BAZ*IA6KpQ6d-AEztg&Wj?nRnzS!~-{wH;;&$7`R<1
zoq~jg`cX(+Hj8OB*8H?KwPN3$A3>k{SH#DMy`E@Uk6%PJ&tl_k<!cNVr+u>UX7U&J
zk;NCvv-{aK>svsc+v$8)3wYMPE`XMArT{W6C4>@Iq*j-f5b;&xW>lj=bkNW{2^;|L
zU}(695%a-U)D5FDhR5dVC|$B&81G$GU7V=NlR4e8C}umJm9aDTq$bPX_Tp<4*Ju3o
zX4Nl!iFInGh}0pk`3=0`nv21*s_fcA2_Y7UHRQa5>~7!7_hlIUa(Mi(L$@D!>~G3z
zfGm)Z)Wjtz+`Vc@qs--Fxrp%CyU}T&nEAiA{#Hihz$VcIVISF3WMua&y&>Qk2z9>2
zUE9dE!$U=tk}zo5nj?66mI#+Utv2Pd@uz3UFd5LdJrBg}M}i0>Mg=ezoCDK5?to1-
zEj9|1XS23AW3@q5f9Fo&Z(udoZP;*Y6Q07(5be;a0|vtU{I@MP?{>LTlJ>U7sf#I>
z^;QSbd*D1(gk-+0UToY)p9VWhS+KOKhvu8}2Q;#|2pTm_3W=Oxapl^#?{gN}{x67a
zefR%A`o&mqy95#qvNNri1O9+lynRgl@7npRIK%9k9^JW*+OO7icgQn2E+l{^qO#Ln
zZ}`)q$8NZhzoi2r43gY{3-iaoy%R<f`87v|Xn$kR%GcfVR=yi#A#b}WCSJ>!6+(so
zyvqYZgd2B)-J%dAh!5=+35|yY!#r1gt4+fnZkb;%Cw@l|`X7%xb>Bo8=YS4W()3K7
zs+dY-d3$Z_v)NCv{Q#Q>-jvXfuk5&q)qjepk7JHs=CI!=LUNQb_K%!B!_w-1L)t)h
za%O35r-zXye({1-3DV|jF_LW-j`G+#MRNpsfBgQ|mOo14)476vToo@bFLB9znA3XS
zt=b>{ML%K_`y|SVhga`Gz(f9bzq)p8IlER`cfI!jlc=2B%CF%WB#qB44Tqc|gEWS;
z?ko|0{AMU}nT8FQa;=5G_is_P^^!s2lA#g_+PJy<+rU<wjQp^D-{rE%G;gX2w(pEc
zl()Al@SD%YpZsh0Q2A=e*s~{(<)~)X`Th}iYt!}DFLJBG$G*St^dN{^xSW1um89bx
zx&+9^dvRFPzy(*TOu>`UXWKb=3ASP84npRT{iS^S<bs8vw<d0a7!aha3dZlWBEqAW
zgXp%9qND<I@j_#XCIZ_T7|%hc8)lGh(|>v%J$UrrRi2+b0G=uYs$Y!_TlVZPB5eYz
zoi1pfXWh*N)S)Z7{<0aWu#cJ6DUwCT#RH^GDB;R*u2}3E#;=jud+8dNVj!W9Aj7iW
zJ@wq%A}!84gwRi*U`5=PNx<gi-9RO_TXm1-3<#1!2EM@rkc9CAS5f;=+YkRR%WzgP
z_Uo`J9L?%T%J$XDPTnCamiWiCa~@NW$%}lZ^bMYK6IWiFpF6Cv*~x9lUeu+n=t`WJ
z?os33%S|>jcU)_8a$;4xoL;C?{N4cZ3YK(p#$j_GC`M`4+St;7jPM!2U8*AYiUo=?
zw9RD~y6$I>u~AmA>~Q0q5~O;Ae;o?UK?$!OdCSHN&Hi$veBpY+pMx>$QsihrYCakR
zD*AD>(<dx;RoH%12OLaFpeGWeaEU~Gio<LgIzp04P!1zE7QrI!_%|q!uCU`Q<e59O
zg%K14VMV$3^R0Kwf3uVM8My8<m+Q>`y^ue`xzSgoNMFhwvE!Bhl5l9d{7dItzES-I
zw1tS<DAbA8MWELJ;62mdv7GnSA$9xzrFqUth_iJfO6C@<CIO3^Hg66_?9Tn-+WE7y
zqfYwkkXrnPfHf*J)X~-R?aa&c5!+Mo%uwh$hL|dOrLqt1C3DB@Cr(}~kCpjn6W?+w
zkL2lze%;fn%{Ze7^zl-{QHWwl877|_X(6pUSG}e}Gv&fBXCCcv7vR~q5ZX4LHN7U!
zN^^T6@$epynXlKeBBk)3w~%fm9M~1ews?7AU=O7;id!|Dy*&j-1q5CH_l7Yuoh+T&
zbD2caa(Cc<j&!fY!(%x#eM8z;pgJ=S+Q=hP&x~pp_CK-<z-M%H@<8EyK@L9Pts})L
zW)3^C4wF+#e-;RbxN?KVKmie*RbYrx4ZPbXbQ9PC4<LmweAV{VfL%FA`LA3>#|?i>
zZRvM-S!U<TNz$H4;2}=VPlGZR64ldR*ze)0&38?K?jRTm7%B_ZAA+E1{{}nll>)X=
zG@+cv*495U4><B3GB}40yat<B!Oq~;RydxyzSAK3`%`5T+qb-9-y07M2Q*(iZ;;&R
zaaQ|5GrPCW<IsP*G*(q|;8M7W>g_wab%WQ3j{bu%mV18>z>@gRbYGIs&Xi@k(?7d<
zsRl)<R=iK2Gkmb+?S>d72*Ba94}sUBow$n}X!TFi$PI};JcNznz4?PGgX=H0I)t3x
z<_4y5T4Wz-#eDC!Xn&Ln#5?}+KvB_x!WVkG7YbNfjebQl<@<f#HuK^c{~mHo^nliM
zJyX6{TwIsT;N*lk5Z*QCtdQupK>>J>EG9gL;h1ghcB%DG;4%9$SVX?+Uw1-<dHk54
z$@GG{0UW4yO%ap7^3!9l=Z^BRzwkYn^nB8=6GGL9I~Aw4gxU%B6HetXm-_Z{_Pwa!
zyXetEuqZyOmGZcj8p}W2yV{B(dsHiQS8@VTcdOyI0M<ZgHfQ9y5j9Q{q1hG|-<QdR
zk9mDDHM(rp%r3bfM+w_O`eZXc3DJ1X^*$ni6;F};`=MEA2TuKYzMda;Z^##d;p1+s
zfh<;kLAXuOp;BjFS+N|6tb-G|<m?bTEK|im%-eX?Z)pdpSDBG}4;2;>j)x?ws;{&L
ztrbG2^5yyY06kllr20jhKQ17ARg>j$uja$zX>R)SI{Py{s<%NSjcKxA<19>t@^t`M
zQU0k*y8@V2$8>+m=Z`YjpndEgCJmCIF;&LitSg!79ok;r)}!;*KV{JH#i2Y;@#C#5
z4RHRD>Wj~tk-T9$--=JP7c+9`)LKfk;xk^YQyF}RqTckSElIQHyOyo<<z3>jAM3z4
zm&XpCy&lQTnIZ?0BrxwV#a~iPO|$K~D_pbmzKfZTlEmbcmT|hEVVpPWbE?tl)nJVY
zs%wy{b<cbl=vx0-{9PGY_HK$8Ntay%0P$yBa1n!`=qUNrDaCQWBYu!Z%`X;+PteJ-
zY+F$Ld6%TPB<UAw>my71F4KF{@nER`zu`aoaAWkPCHg0U;AQM~yX{c(@=(h4ldGqv
z-=7Ax8OC1^QlAIf2roOdp-ZuA!dW~%gA!T{Z_U-DhKKT@MDY(Mf@^VI)eY;6#2?WT
z!x^3Ak9YbX>`~$|Y7PrKuk`1@8rLChKg3kIj)(G%l*~W<g$=xk`M)$=g>bRFxwONW
ztMG2>3)W~$2n*cbIW>pst$#mlw*Yk%NlD+4f88w{$C&o<<+TvMh^<ua7B)yjzgPAP
zU2y5i`!ICB(zan9=vwV?7%g*ri<1~jkPb;%?kji!>_U=(?j>%3E2C8d3sd+v^gzL+
z*SxUXO=x)9-N!SI#nx|6ws~dOv{M%2VbIx92EiFXw-~%GMoK35KhXj8)pQnij3*WS
z$PMXw;vI~<PMdjMd^UU|6?!gddeY)n?c!logPpM#u&MRj`U%~+?($ss){2ES6!m?Z
zHw8KjGX;-54SgJYa%M{>VMT=#MgmV(Y*BXf8EZ{k*LmVt`3u~C0gRmQOEAz@dQPE*
z%3`D}MvFx({O2qUCDPY-z#b|L!c0(e|D^CmJzg)z8b)foTIkv^{N4I+#SlVeOIfFh
z{;I0+2UIK?c--EUl@S#sF4`|?WU{2pab3I}kJKJNYaR3pyY>hwXq6K+CN5z6`9iSx
z!bWF<b{skJ<;Zk%)bnm15}(2!qk?-kauoCwvWV>GXCy8a%tr2G3_?risOR=lal1#i
zf0?DbR^vK0RXUM(n%DH^fvx~1mU~0EdPql^<Lcu7VGCD!Lg+Z4hlQSxSs5O``y`0e
z`k&3{9X_ZTK7Rbzw{WgOyRjF7oFho>&}umIaYg1Vl5VVI^#0tM>{D|hOD;yIJ+~--
z$1`)<Gv<RyePLm7HRM_Wi;mDWs8!Nk%iw;V-)xN^_U7rT6GDM%vLErLUR%6eGk=tf
z8#>po?-#&dhJD{ULAaXF;ggdYgbYpFUJIzDQ<!%q^OqO5x!Sp*w&IVW*}VDvzdN~y
zNQ{WJ3)q$rGFH1uB=MSD#E!1D6ip@V>X@R%6j2lRvPbn<-AvJ`6v>0B%Xt@4d>xDE
zHdAz?vSA%-8p(aT-Ii_v`{L1%1<oD9GJhEPb+yjLs}5ecs}7Y54W;18-koyt(K{0Z
z20LC8iTlwi@xAi*8G}xGZ^-@ci|-07#V;ZyT<Uu#owxXgvuQX$-2Q>%AqVa9<l~|a
zi?+NcMufAV{8jlOBa^{?3NZ>st@U8Z#yh*qCtEjzu>h+xVN`5T#)F*q@$$lBwCQma
z<4-q{L>X3vS(o$lEWrsq9iF94XS8lr*RtVT*}?c;DKs^^Z`l@9Nofa^S}G)Y>gzxC
zLk;&n+GyLxVlNF4FT!H9MF4-8{_&>>jc-0%w(nDU^BJG>^bfZ|5qDAyUKu*Wae6F!
zc*(jjC9ML||EnYc1oVl%msX7^tyR%{JgOX8vWyb#Jc<8aqlX?R`LK22)k&^AeJ8we
z{4rzIukKdd3<xK!dZ2KC4B+#a$svDl4>(;l2kVock;Z!KnhpZ#A~w~sft*Y$o%4y?
z{{6tKqAS^NNfA6w7VphF^WU2{9T`8KSCyihXZy9Ls5R>6werA^H4U0AhxGC?w7#~D
z`3o0iQO+FJP$oc0-Ts}EvyI`}fSj-=>(4~xf4#lYaQL|`@DOvUPtMVz;53eY+?uvy
z=g$53eNDcRO<a7nxSrDfZQJIqgNHwlHxdAZ*mB9PiRbAmWDDa3{eA+k6awsbH@4uw
z6KP{J*g;RviEY?UXI=G>pn}I=f)wL56t}$l+ys9eif6GHuwdEStdCr-0i6{z?Z>Oi
z?Q`^&j#ztQ3`tRG9w8uB@5`-oMF0YGTu+z95*S9>S6;6Cu^JCU&qon!F1gUwa?a?`
zNo8nNV1zgL*M{4g_eKITX@Za4IH%I=W!H|FlDmC5gJpzjF>Baw3DDEihs)|t&yh4E
z`L7Z6(Zj*J9ZF&+Kl8m`9=J*zF&P7ycg{k&-j-EjGxO&Xmbw2L6j@DSwkObYRx-^)
zR8IgA`&6J=q}j;=b)8XLa+{9r;w%?Q5hb_(pv^)$<Y1rP7lE1VoyaB7g-{fJem|Dv
z-#?Qs9fhFxWMo}kjq@icn*-5^(1@x|%3pn8C#N8<X^ob~+WvK7uQo2Nuqp%v$``0%
zEddd|o+sHBX|7r$cMoB5vY*!_GBGxBhuLO*WPJn8x_ZNdV(5Eb$;<fq+anXE4_&j^
zeui9>UG>V8rL1~oqzK}}n3vTpF8Ky2IAx4&_CmQ-)vr=7U|TKhx;g0nxpZs`<#Qd0
z0bf}f^B`h5OYf7MQhkp9K!qTc!1y&fXc<xBg0bd%7nRh@?z3cjt?1t^WXkx~P~T$)
zbn#cP8m+9g;Y=Mq;hZeYj9ssBKRgrkAddj$UnM4IHrGEp4<X9M?m-J!o`(l4x8<_j
z#S|slJVHYB2fKZI=8CX<=en^Ruq0>rhs(XURc<Z!6|QrU=9dUk=KP#4qy*c_vGoc|
zO;}(_85q12zPw4iiW`P)hw7A+LwV<a8ZpyN;8L~;$3qm@X{;V{p4&c&ef}tScHC0n
z;_n)xiQ|{-I$x5bJnuM=VX<@BmU=B)s_^rw&H1$Z%m2CYq5>yb#HTQOz}SiZLFfFj
zU^C7do22|q7mXAzX<fHM0j)gS*A@Mk>o{QI%}5fUHL<y{aTI0>?sr6&mzL14Ev66$
zkOQq|+AUjqu_9ar5^@Ar@FW(izf$+QTsC&<;D0jOutx8IPF7N{TPS(~du?z%GFWLK
z7!yx{@`H^wM#>x0gmRlm-tFg{N|auG88p*@ZQ^K}IDBKh!_W3AY^lJTtG*t2&;`r3
zR0l%&o=in$s#x9?^I%K=)b?(ZlT|%`lUv`N0*&nF`z9uR)hI~`{YIo274(ukjBaBS
zt>52#YI&-ge4~l6;GWybfmIVX%GvK(Y1ioh)GAQJc+wN)&@R}5!cgPJcb7?+%+dJm
zc3p;bO1?pCwVrSBx33^=G5EB@$eN6SxN9&$MmPNMWv`ZJea;MQ)!8uF%%gLs&Ak#a
zlb<*qa_Ncp4mwVP61ocMegTmL<AK42?7+I9Ted+17Q1eH*cKMg?B3$cmIRQh`hR_c
z@Za2>Q7Josp_sYb&C7wr@V0pI0A%s2MJ+OByux^Mu>;hX?s!-!dVVenzu5KpUM2HB
zk6EatE}hfTXeb&ixa`<pFiHfuB$yG7qX(jcBGqKjz|#<heXewtpFlyO-yR>ir#f)v
zWS(j(=SpP$jrnR?+JL}@1j{fgHD$%6E4mv?pJ0WKu)B-+t9-uFLaWxC%U&|1upDzu
zdV!nASrqxD_YEOh>6jVKpTkIXB<i6{I`n(?n5%$qsCvk9qCTr+Cliy&GSdL`*McM^
zi2AdAR*Ep<kQWfJ9AdY>b-nAbnDn8m-@~id1^j8vtsR`i92o-X*rjG39CuPR)(LoP
zD<JGuTiTV+BI(*#ccOao3Vs^~K<ge532Cp5vn+J~uAywzs13(?yV0X6QndSmuw`Z^
z$yr${zjDhCr=d+SF?~C?R$&|J0Sa+CrgnE<9-H8ckk6PbhbQJq?BOq4DVyGJy|+#-
z;yzHNGN%01%%r&%d_(WhGwLe}{B2p8spG=|6-AT6z4>7(%6UDiUQ~vK;6B5tsl*0H
z`_zVc>cm<LT`m%}IhGHhQop@BRAr_Z51udQwQnOPAeJK|QrxA<6!xMzz`N!^n2s}S
zSAgsf5nDHR{YO77*aoSLs-ur3v86*|5bnD!?Ev$pj;QZ%PG*e@3PRZVWCG7zzUwks
zhB301<+Kq57pSh<WvUYcjxihV53aB|^fRa)pEmz}9$_z$k7UbyHaw*BTou{=75<Tu
zFfG;+5=a-<eNU`t4vwhLIebwL2{v(ij2>ejkQbp7o)RJ*e!wnM)0zH}Kj&!_W>wL=
zH;m!WZN+gbzw@DMCw%VO=nC!s9CL%}yk3aOdN1w*EGxanxc(7xzqrvzK5sM?Ot#5V
zA7p=fI`YBFP_zzOyf=i9+sSFV!Q%Z$k5EN`rPk--iP7&-w|I`}K7IVv(rNK#3MOcR
zJE3bk9<5O=w>mr^*sIC2GXoyGRX~;(<bSKrg&C-92{c||T_;2%w(`4pWhs>`C`2I^
z?bQ3^V%HQMD-16r)#S^`RK5He!#(F|I9Krd>$4(>WTh9c(|rRasw-)LSi6cv6ym+F
z2n+-Sr9~7wp2aoe$t1=Cn8Q`nO!l=GvXF=eK<a7Q4S1Pc4OVwr|1IzGbP|(z!ZclU
ze_y&t#W2nV)w1QrBB{B~wE;BQ_~><rqadtmcwZ-RQzojZHEuyj*1RiJ_n)_n>Kj<O
zSWtb4DA*NTQOExz*0NePi|skBLaJhV(D2o&h}{J{DdsOqQxS+`vYeUE{sXLnF^*f4
z_ZzOH0MiIQ5VGXq5?M{MF8^}jJ_!T=a1pZ@4>X6u!k4|hyjt&gi?G@-_SCAaB{>#$
z3|cK9SWzjiA--b#?i=xrZWtKibUE=wvYS9xv0(7IMaqUI(_j@)#?z>`Vb2Lt5*Ru&
z9KfKA%Gux6C%^%9My^&bbUN(m_6o|SIboOi?qb<SmhSsOH*Q+1#;Hcs+!$A%OTn+~
zD{xc-h9{FNvv#%n0nnI*2nY3r&AEp%jRW>EGz>p^DcjF6myiETspG#-5qK??0UYu+
z@iZnNW)IndKQ|hwFQld{);d`M5twqc;3UVR#W^nO;B6Ka%5epQ<~O9e41xmsMuNWX
zW*8O95q5@5NX_qVN=KTvKB*2;f&t1(WpP<XRukjxUI^E-lehB4qG!z^*H!fQhTb)l
zm+HfHZeSd4K^Y00YFKvI)$WHbb`MogztqO`YXQXFVd40c<#KHbA*d&o@l*VZh)yv5
zt3#ST@LjT|&f+r0ERn#6f<ww!*v&UjIZl%@lwKRWChy~_;O5II92~Zc>8c<I%q=P?
z^!^!H8sEKpx9p7tUvt9RCUPt+xI(R<wjwy4(|x^RczE>6=iLT6l$+d6U2+q$>1c2}
zy1uu1f~{W6Who_NSNhpLbE!&yst-)so{2aZvQ&@znSvrPndrp5WHEM#gUQztdI0JJ
z4^*0CX5KEL!vmLKDE4-FGKO)}n;w3%cb%L(?S^~*!fVQGgQj8bh{L(lXVr%|7vlOH
zU$FUjl#I^vkwr7i^ua&(;A~cX`AaF2+5At6;bq(FomNEci_s;FOhHS{cuQ5V#7GQn
z<-~?JK6jWHB)}wm_`P~2%{@V^q{LM2qxn)>SM{|rdwfM--FXE6BHx$A$ABRd8b<!A
ziD}M2pqaDu^rF5K*N>T1ZfZ8qX}0Klll3Y3mk*R;0<~90XGGY^qiZdBv8H7}`#n}V
z?HWxKV@BSI{<JtCzQ?T%rO}rq9lqb#E$NzbsUMM!Qb#wCJ9Z!AS8s-|@9M9{YQFd{
zYkC|yk|Vc-`m3##ym_Fav}$qw{O;Z1^izrrZ#ZXg>KorrgBY_pt0V_hb$X~=gAEns
zIe=%&FDIt0oL<V^V}0Ols&|})4Fdo7>U$EQQOkGbhpRcMBSSlgQ(jln0S-P<8}7^P
zE;vj4)B%<s=13F^C>^pnk*tSj=3m3gsW0>*w5pA8W$v0oeviKE*duithjg`)1Am^c
z&32X@pSsas`m=C+gCW4ltDk(R<JtAE54;L#!bg6HXm{6EV`aH#pAWmjV@Qg^<@<gN
z7|xPV41`Y!wqJ876J%$X#$vYL-uJ_2lNic}mVu79DZeI_t9cLfwnd!i{nB>0WnnW$
zgsuIfL2cJ86+5ocsGMQXwW1`&^*<r}Jav%{wq!Xuxkh_G$gIpZzXcts3xk7&juf@f
zPkEY9DB{lY>*g4`csN%!z*|!*K-sqrf?nd^tuiNvR0y@*_fuuJIPZETmS5&L%La!)
zKB0Ri08BkKY{Upws?^AoWP{B$+n4d!cTU7&QO^Vp?`#F9V{|;~=0dAYRYb>Sy;c%J
zs}w1c*77_E1B?y<g(8snmf;nYIRe3_&OeR01U&Iizy4e}@#h{Y+{wU1yi(*JSB`yh
zJ3gJ_PjSSAwKFpf&;3R=1y<oYUp5k>HZCcek6Nk!9$24nEFh(bi~9E4UsQJ_BS9vo
z5GLrp)x;3Wa}z76y$&*L9;s~&J<89{ziDqdxQ%s#&;HFEet7NWko7t+o>n*Ql$1PW
zna3)4kd_k}3|5r|d&;yzA4!SyEh5mo?fc?SC#k&nv%(4|B~DzoHo(vKf&U)E`fmX!
zXYOdqH?EGJ%$gFs-gGk8O+d9hNzaq6ROIFCPnKbJl!IS&T6B(rI-3_(r66eZFSQp*
zRmSavj*L1^7kMET!xxY3?}6jrR;Lv#g+ay-pOj&{?+Ldac-s%w$P;PR^srq3r0)}=
zEZM)BEi?~d|8MCRG899Ceki~bO6M4;`-8YHALDGP0OBK&QV|L-6A|+7N?1qvP&F^F
zsHmkCj#T+F#`)Tp>Dr0vR_x8&O@jhqLv9+8yPQ8@)_ZW@=QhdG1eo5#yS&6Uxj{Ol
z5N!ayPl>87#FgcF{j*B#pL}nyIDSL&w(49N{MC_Jy;_VZFZSXa2mD&jJMqZ=^cMTs
zm7hA~Y)o*z{oj#7ovThpL-tJ`?F;vmgO>6JV__21D6-O2J`#UZFJn99iY$*h^pqcc
zN=YO*l&nTAx9eUi;A0goy#;N86`tOp4fbRkLsXyf{kj%;f1lyZJ9?$T7~pPf^0CYd
zcLy&(YKlc6D|F(&WvJNmF0edcFrH@nsYiQm9FMY1yj==VFc`Z@X}9{FfpEk^?eeyf
zU#VZ9i3(f*oGdk`TeeQ<3=hsllUjMUh5QuX4O1%>0Q8OO+%a@iI{BY=_v|NeWEkSP
zV@nx`&9{HCz~F!Dg)e{XPr<_S->hOktVf!KCUtFjb#wl{sA3tBfYdFmnP)_5VmXmS
zLcQV3Nw}P?t)<}|W4EWFDYCE;XGREF_<7&k_rFaoy0!bq>ar^3qww!gi0~KQjG7%i
z%3-SQso^r3{12KU*IYDvL_CShs%3j@3&XchJ^l6L?<PkgkLLIHkc-Y|nz!M5_r`2z
z_ht?bJgx6^&KP?B%T`iSV#>H^V&R}~^jTxCCY#WUsIdkCUMl_{A20J2erd?u#mq=w
zYqzO7ZgyN~KdHQB)O^6DC-r8wR_O7$;bToFhs%j20?h68`on7}&&e)=ry&%H?1LW{
z+Tg&7n7oU}Fud8ceF)dp|44j3Hxq1xV8V6lU)H*zbmS?Y8&1`^6A~9!6A8+LO6oQi
z0ozV$u0EWL?|Rk+|JrYQTe`j~kK|D2llc1K&WO|IdWZ;d9Sc>j?y^d`ep}=OO~)6L
zm@Xa6j|4{wmhx~<s50}KM*3zCX_2J)E_5sw=LWYSSoO~)v;&U7Ux;SKMsz=E+r9+<
zJ@q~%#nj~XRtHtB4HSdmqZUUZT3^2uHxTz9akCJ$R(twTO8~4=I>{GO+HrBnC;xvI
z(D*A=F;WHyYIb0l@(Wihs51+|eVi{*{D{^<z2(;o^(Ly$t;hDfg}a7yX&{l{HSx=s
zTrSAJNmpi+C(2r@beH*jBt&wnz%Gcz@qZy7S!nNA%a{EDKHrtS@k~_(u4|HQO8k7Q
zy&JG$2(Kty$vdo2CXS@48_O{t#R$cg^AKd`(*{Ck0SY{eOyq=sRPD@z+8wFCUlW~-
z_IWw~hgw1ouzf8KgooYn=|K=R5naubT!5u-jbb2KUFUw^HMu+u!KZD?^Z&DLKq>SX
z@DF|6?Vp~3X(JV1Z?o*?yO9b(kh?*h#@YjR(RUIs1ot)A7`i?*V%6^9o3Q!TR3MZu
zjGu%(W!(mGju;{5bIqC=35oBYW{ms%yVkDH&~+~-2>vgPffLZIWKF-A?ApPn-BZ0}
z;E^z#n8B}sOVeVw8*_7?eqjm(R3CnmB@2+Jl&v%{buQ%UObmI)p8PTDRrBY0_ovYx
zuUl8!Xp&wCd1mtKypZv|GQFg2Bmx~!0p?<9`uSQxKiv=NB}~Wc)Uu)BiwHTS=NN%}
zrnz>t)IR>WA3xadC3<HE>E-ve$yXCi6$04803V;ljj|8>q5Y+s0`VbPnTDxMPwTo+
z*>d<rVV1M%R3AT0JJsAv<B#`@r9<e?iR+l|LJY7^OAdS2r%IO^_g3!toRepXZP5Zb
zj0Vm>;zI<4J{aL|m^Bk8|10xd@P<xn)}2S4OP)iShE|phHhXZT?iy}5nJNT#+BK#|
ztg*-HM<|{GwK5iYgB@|e7M_hDXXkW@Or%773my&votV@Lz9frk=M}H8f-(}GMJ0U^
z2TRFtFUOMG3iK5{Aa}z)e2`XuCd=qt6yKe_;NE=?>P$r#)J0Y)R7&v~fIy^ekJZT)
zo9qOZb;+4U4C}_5?~80cd}<2~x)?Mc%=QD8*;;wP=7H$KxkgiDm|wAFt8QyB^|XPS
z{8gJKB-vNN&(rUAZpFZ3o`tvO8_rm((V)RGzpS_G&+8#`GlLlVuou%$F2<&IclUgI
zQsJ7M?g=?GD$1^P-C+p+xklzo;W_<LJqZE$G{$ozqVlz1x*c~A+j4n5%jD187kQc$
zA@gzeKbLCO#Lh|m__8H(J@gF6`M)r)4gk`+H1K!NKX<>Z#I$EWj=apcfJ-gvDsYm{
z_r-P5Gww80VRM{fK4Z4{59ar*?Wy(CPmqw>ryVZzU)rmN2&jYKP}`&W>p5S8kM`^!
z(ysy`nGT=+OrgZ8J=4TJ$W0(lw#|z5#q!#0KXr27@Fe{CPob7VA63G%x?XwO*%qDz
zq;eIiFz)|^@{IOF3ne6U9e>To20x-7Xn#=mU%XN7#dOdNM9Z%I4=S(dd30KGyp1ZQ
zC3NRR?f`GfLo4mp9LOI@1gVCW6OdLC;jNW@5zCDe^ipwH)%xO1W!x-S7O!5g9w0HN
zpQ2a8CloA?4R81$p(g^*>GIG1<u`Wo=I7XD&kY`R3DBiY8(ZpjpDUh-f#>~ENJGz(
z^Lj3kZ6Vd2E{<b=-9Zx`W7r1r&}3L96+aB=G$dig!8o~E7L@#KgN%uy9LH?@z&vr3
zLoiY;c9(YZ<|EX-=(Y<2tt=T%8K&tkF7TiT_S39n7y2@F)!tm&HWi<=!5w~L){;b;
zq`e#O$hn#0C^xAce}NbOnP52>=h6~&pYl~A*b~u+q96H_?)gs!<NAfB*OikjjD=Dj
zas4-)rDXlXon<;=;5d*A6eADN2Z4dY!16u*_k;?5<4Qf^e@(ACmktb2g}2~`a--YM
z1}bA|pX&fRsOAT?)C9QQP?axZ!k50Pq@%5PoV(N*eoQl^Vv^&B@VE#yxDvzDg2@@w
zm=XAZX@9kRonX}6P)xKoF~7n-k)e>%*bl=Gh=3>ScF+ZLU7(M6Zy3d85en0JE5qzH
z5*C|j*5KUwNWa_k?0vj>;m<1}hrTCVZD+(R-3*u1T>JLaZ6Qw0*4x@ob{@c2?DCKH
zpK*_WPQ7{l@_dOMThjZRRif0nY~0>Yp9Futx11flWoCzZot+SoY)-rXc?W)3<E>mn
z;=<yb7td-vaI-5C9JA{Df0}8ty#49&SHgL!bAf@vzPd3`-xJd$SFeWD$K8XjM=p~1
zF#$8Vw*Q@`aW+RX+QaHco?=?UrZ}1Q+mYF_!p#vAXEp~%5Y4naUp+|-u;d(y_qP+0
zn0s<jKaJOigX5=BPs+eEz1B8cyKMD#IV(p~DkTZ)hSH+w_P`&|_2DT|h<2N4TDRD&
zy|jSh)AN!`QyKxyIqpkhN=?$oIwm={o*U@6bfQD0KyUdmr>wy@fu%6ku%#Wc<|Af(
zGe;+?BFt)v^)0^!Mk=ZN<tuQQy8}f<I9)EBKh4aI2_6bW?1S{z$4K62s#lkZUw?;)
zDp7QH3)7iKq9Tv&^|LN~$Kp8Hoh4Hm3KlZKataEwJVx>4@1?bVZPR>LQm}}d)Uwx*
z1NVwGgpO{;1=USEW4i?<X3!}ur~@$i`#yVGFE`!5gGmV<TcPtA%hEEg^9rIaB`P8>
zQxd970+>h+?K@owtH0+FxTJdd9&WLSd;h(QiJo*~rhl2b1o9q55644Cz~kVb_BSv>
z^c5-AS)VJMjhkGLx~hR&A4|awSBl)<tF>=}l+Zo;wTz;XrorwaM*3j7LC1TK)(`i+
z#`IqS0aB%_6!}7DLXJl&22yco|FlNeBWw2ShNjhSE+Pt3X@0GjpG7S{{l$|mZZUQ-
zev<8<Q=5`8<61J&veu8hb`9ng33AOWpENstO_McepM-lGx2$$(XwOI8u+P2-Bqyp~
zqWL3kHWfCED#8u*c||81K6Ba+)h8dq)*ng`Ff!9uKtHUVH<O8x=m9OoGp1H3n|VJI
z{lra+Xe7s%n90htCO2dq-6yvqncroWN#G><HOX6(rj2adJX1uiPa)OOZP%AKxXq2-
z9UP9B9`<{C#SOsBVc|reW<2=q39YYvb1{`4k!PuSSNiwqI#`(9*0G8&)&K`cBCwEa
zc)~>K8Ik1*i`tRq8&XT&XDo%Qyy)-38fn|Br+4v69sedEl_bgMKVy(N{b8i=rb1qo
z`2MBgzEJv0AuS|Z>@nC8!igW?Okx=O!`oVj#*6gp8F+WLuHmIS>fCy4lMh9e^6oU`
z_dO&p@!5uJI7q+yl$>HQuznzv#~h}cZ5h?%JUhxqG>ZuKR4#IzcYNLD$241OZQxMK
z*{y?Zg>^yVeeecHNVD6`hj1vqH!9nb4*Xq<ba`fh2a34zUtYK@Ps32I?`g50)Ne>+
z!w6x3&q1|o^PSYZR4jkWL{6v*T)Yxng!SJUQmt+T(9Ik;{?cZR&^i&*#=DPZf2A52
zz{JD>F@*bHiG^0kK&<*0@($J{Qtj2e<HNZB47=vYN0$N4XlS7HiWY_rDPc-=1<i+l
z1g!abivAT%KG>JxNtcNcMy2_e(<XbS9~0}vHcF3m>%0JFNJI>&|827V=~nBe3US}u
ziTu9J<UuP+v53>fgLY<la*_4kyWbg3CDn&&?7EnC)yF5rD$^UgZM>;%CO6hbMsCP^
zOe?n4Fbk0Fu;I(skn}!DQXzc3?`*;Nm)%*(2kO^61wQix46Bz+1f{coG8w8wlX~G(
zCJnh>+d*XXPl%rIm*PPzgy!NpIlXIcSnhVRJWiCa$~^U4xPiJZb45F!d!iq2q1lM;
zTT)~~G_MdK4h1c)kQf@Qz0T7erz!3JHaZ{l$LD981Y~4vgRa6j{rzP-5$^p*K)dd7
zOy%Ej)KzL?A`kfv#_0qksSoG&@=<m;z1w@_Vt~#^y%zfoT8=OPYs8nggP}JcCbMCm
zjI{qTvz<!jG%I<Ba`qUcCTABHQRp;2-dodC_*69Z<`?55#v?bV1Ky48)TgBm$?j(h
z)xVIg^opl8pZDAvO4<`KJ5#5@xG+_}GMru(5`o%@+B;4Ru?rt)M2NlyhKBSTiNi1_
zlU(Aho2M0uE)Vm+)8Z)~o+Z&&B%xO0`a8h?;}er}47BM39mO85V|N;Ut{1=nD74$v
z|IrJ{#Xsp2;CP+u9<@tVQ`eFE*t~;05MXRzV-T98W`Vr)AK=Hn1ubt;$cN3CzMD3t
z^51#z&kj*|lnYA>;WcB#VO#66kalBhK!T0ZNPKEPjX(iAcFNa}`SqTL5mCkmSrbbM
zE{78F7{zE<+GR#tvfFv$@hEd}yoWznr8$L|!}Ec->%1R0U&af&v*msBPm3VHju#R8
zIpwdZ+Bf5{*pIhs9P0V0)6wg`_<Fd;`k%?JrmV<V6;^Z59s2!pW67Ad&qH`?RKbB#
z`J_u@uQCm6^?0u+nDIYEGAdXxt_1a%tlq=;jx}|D3t(rsFz1k{hQF(M103rfW#)*L
zA>YQWD_KTXwmZ&V`^=d$Ni)=b=12lFiGIZcvG%f|UST%Vx%%hM8{O1jq;P<|-@T)I
zKQQ(qW*X$UWUUn<hPUyd;%AhC-Thgfg;NX1i{|8~-DuSu(Vg-={)Q>UlOaIE!b|gi
zc%9VUKD>xKhjfrn;D>s4=Fb12OFwr658Bpb9kq{tm1m|i`*rsSig2Rc7jC4Bv_=tG
zAHGcQ>xAfF+>}Z<CMu~5iv+LVR^<D>Dh2~fr}iv`)Z^~cA6BaZ3s~mp(Z*6X=WLPe
z?uG^H0IY-l)w2V%-k@iIqF5~qo2}~{U&-FP;`Xb!^uI?dF{g!&C=M1x^b}rl>8Y_;
zv`o6O>1)8-s`9km+iFtXIg}#z|I8|)9Qxb-`xz7uSGf&_GDF*_T%B1G`fbG0*7`k|
z-OAn<UT4Xt7nsVChJ@!Jz}XVvjsvPaWv?Eon1;VuF0556$szX0`_pUvLb0?t?xBB4
znjMh(!mI!<8)5D*B%V1*Fbf1ZJ0FhTAv!0UO;&5j0$C$24w(NL!;TX0%YDG@IG-Xt
znk)JP1`Cd8rQ(}$Ctd1q8jQD@wB44w-KGa}BE!*ZMR2r|)(({!a%)R}qG#I10Y~W#
zC7qbUzp?-6J87NPoi`A?J@?<Hvw%sm_SJC$u?xoSF@B8*NI5t(e~xdR+rqLM&E45<
zQ~F-<{c~w2o8~RlzkKVM7W-S(h)nE(<;BxS6!J!W-KN}~utcbx@nbrj;mu@F=Sf4m
znUogtxy^Y)#`Uy&4q1^;wMFcI(rFi_O2IgXa;#T;ZbZJF?rfxew^AqfnS;r-WG)8_
z9qVEO7(`cjRA;WodUEvk1xzWf#%<sSJv)4S<l=cw<qgsnKxXz04P7KFir@R>OUd|W
zcZ^YN_|ZI%E*mqE$)_a#@6-K(bSE}$XyamVF;XnY@)?H#$8xO<d_H^zZqrZ1XIpJf
z$272SZX>xoGIB-peY=UNkU$RPR!iux0Xxm0`jRFLk$kML-0Z<)4QFO9O#ix46V3Fv
zew~HGfo96Gx}jmGtZ?XD@#H(@`6J&Rj6R8*&0u-I^tkYzwT(k`NJ-deIRRzs>r@rJ
z9l8rkga<_vw<v>)o=od^h|VGT#t4=q0!Zv&naON(-0f1H;lKa2<_SJ0iP4C#t#o|l
zoz8jthh=>p4KK;uMyZxG61N$M08!rMKlT?jFGFC62*Fh0Soi4B$zs6c^mKHFO-1CO
zf!B&S8;G1GcjI=U{c@s`4#$i7=bV?aF-}gPp|Q-A4QZ+4Kl>jYCqP4yT*-0Qdp|gk
zsg&Ear}QG842!<rLDw3HyS`z9>H%nLa`MrSh&nZc7{v6Fgiy4!@R~e|ZqEjY9ZRB=
zfd(>kNHLS|FOcopAukFNs%(U@JY1KVv5K?zR>G4l-NI!z&iJK!((!r5U4EvS2#I9J
z4*77DFzXhN&NHv2)u|r7K)!(DbyKEq`%9W12Q|32@N>-me-+WSP(&*}`#v%ATNjvH
z<&st*e^v=WAb`KdO9rOgmH%_S{2P|U-on}T5X@vvw{~tt#{x7u!FVie*jUl`2CSbg
zSN$d^gmKNhEdt`L^P;ccmL+$lSez(P!Vf^_#(cj8vg&lEkGqGt32E1vy;qdE=r7?Q
z)OI9pK`IHjIHS$Yr})1mMDk79iO18(5;m21P%_M$&gD6b@ss9BALSj{c~6a#{4bAm
zrC7A_SiNLu!N$dh5zt{?h?#d1Wxk4F7+$rdEH4jIFB8=vl1Gjgr~g28a9!(Teb`tY
zaF^zvcr-rUJhTjlUu#wo6?@TD<p?=I6R7XbP>;6|MbuY*Rcj!!D8J4k>Z??IkVJj0
zFma7ST>lS@0v6=$Eeq9@e0-pin>=G31u5*3U)+!FR4F;R$9D{Li^%=8r<PkehPnf2
zc<VpeGVff(r1cdtww*jwoxw#8*V(7x#{W}&7X5LN;5yX+4wY4}LVo)knHdG$7Hk>*
z{tg%3DVn%<sP)jb$xWG!eHcEB3KcIdIvg+aUlVPuLR0w|%cwc|lnoP<cB^aEoNiIh
zt(=bCV0Yb6K^NEw&8D+B)6<Mc&aP&$zmoEYT#W?T2WQ#3>7dw#%Yr=Rp4qP>g$v2S
zl&9W)P<YJuQv332GY;<k#<q(S!2)ZA1iJ3Gr~g{a23LEep<FZHrvDM%ydSzp`@e>i
zA>_ihK4G2&xgeS)6fTygnldPGiMA;|2D?xTk;X3$MCLK@uoi~VGcxXLSN4}MtG;$|
zIEZ|bo6qdcbN;_q57mkPlO^zC(M7wqR%dYKN%^F0ZJdfi;1=AgG!)5uWKMH-+imdg
z_`ZGbam7T8U`;xL#MWIxrjJphdbqiC!M1ky?S;ZT>~!CJqzBYaTG71w`*@3Gq@-K(
zpbZLH-z6J3FqGQG6nsUzhB1a2{+Nc2hX(HRT=gSn@BG}0m)mLCBwGg?uHXKKN4;XV
zRl&9q`~TgPkQ|j7+fu0YZ@#1qcKlU35Y6|*wWyOVmu=ZY-aFa87dlb#%l=cZFDf=`
ze%t=)@Bxb7BaE3(VJG(-%!z+r0j5lqsvE<}=l!l*5p*Gj-gfE@)uj}%M{{V~fo`^+
zjHcLdAbr;{#xs2jb8VS>v3n6rU6aCA_-_TC6y5in`{ej^a{~VtT<h79h!qg{09y@$
zhL4W+^X~b~F(jgo@?=uu8TS81PCtFg^r-W9`3M5n*)=Udlj25ckm|QA@9VxOVaanL
zSZ+e*YtmN9fVa=-E>dwgtL0m^iK#3k!ol2;x_1F6a}<-b{{g*_=}$BQS`&HX3wUN9
zj5_-8fm>XGZB&MQN_(!A(_+6>d&rED@HeE5$0>$B4$a=$e~eDXTV^VHVQI0xI0apY
z&`0mn_zy<tPX+&_#g>-g_&r1bI#t;4Lc1N87VI=$DGbk@PuBiL1Ssvor&6ZNU;g;*
zU&Z+_+Q+BSnxA1l@=Kc}Rdo>DFX>J)vaSW9<qGRJY>=E2Ir~yhzqlA$e#cbkR;{QE
zb}$As+@~6^Pv22fnuqxJXqZ?Hmj6wv+sLXL>~Z+b{-|sZjh)^9rAY}cW|MvcKF;7X
zIVxt@4BuNUiES1T>sF(F&&)Il@oR2WQp#@@O+o;Y_|e`;yj__sw_C&almRL5D=yBW
z7-q*`wJ9euVjE=_nzp+ui>a=Kj>X8h){z;#`@bC&3RSXw!}-uQQ#94ACd)cfz(hrv
z6IMIZaBqmno)}i_y7D%-$g%7`f3}Q{#Q;+eGjW=u&_^9|{wvF;O;121afF5m)8ODn
zgW<X5#F4==G5vXnFH2j}D4k0{XF2h9PUo<=73VsPMZ@*5`pKcO8A>q?eW%{-=^~|q
z`u#g!X+W+=A!nA}am&{Ikd@xID;BHzF37rbz60>DGL(nBb6?4yrnDQ^Y^d^PJD>hu
zbl;7iE8E}S+r#+sB&+o<x|i_T9>o4LnX{Eo>uRZlm4Pr4QdF7=!dV%qPyVpt0IW^l
zlB#|f*Dm}y<S?oN<GXR$YqPA3t^Gvh4SB;+_%@SwJcSQ0;*e)!ttb<r*fXE}Az?vI
z!^zpkc)YWwF|e~@^mQ4qDHCgl^3N|@If&D@qW{?6&-|m!_Sx#>yJ2zQ_wmWOH1}41
zfo$EMnBXy3QA{f;FJ0!8il0iuZSoc7>o^S0CcDvMLml*Yn$svnOYp^s;}-cX2|35{
zxMtsG?r@!as1%gxl{E=;Jx{{KSwk$Zl|_MeciN%-J-}-~5K<KVlzSET*5+Rboye_i
zZg2RfcP*|m{Nb$yZNCvT#Y<69Q6V9ch18agybjk+)Jx3=bY^S@q-TYcD$m0ZyALQM
zd6x;h1tmbvf3%usOMJoXTYXuJ8bdzhQx!7uYW;m7Ib{`lhfx4wx+MI8ctCfJSx^1G
zUQwOp{txEYb2)6DIxzG8o!c~6_z(>Kv%QES!SCacnEDO4*SK3}p_U1PmO&A!B(>k$
zXzAcqdx|dM`UmrnB&(7H10~%1NsG0DWdHyq7$v(JlX8ky%@~ehhq7gR1N5R(^EW%n
z#9sA{JROsMX#ZzDX+Pu$L~$)WhHf?MQ%unnP-Db9hG0G?B|hzpcO<|b3*nBQs&E;i
z!WFG)WC(TawhXs@`cD4%p3H>44Uxn;42jamEKal~x?`Ioyo&ystpiUJNCz&=@!y-T
zoPeUO!ee=oO`~=rCGcjlR+<bJff+*y3uAzYOjb|8P=!^s<yi04my!7&y@YREK*PZi
z5F}`HicEuh5V04^uXm6*3%swmt!`nPTOks$9j;dc?7&STCnGY3{SiGqJdq3ANn=ev
znDSnLIcd#!Hjo_`Rz+I*AoPUtx;Z+Z>JK90<nxouSQPU04ID<CYt3jV)?BjpKND}{
z4IRO-5x0>O4jP1+Gz-wpBFyA#1Xb4{{4-$lKKU}pTdran1orb(fg5#5bRpE;_{OW{
zRN%!(4B)NbpL`X*{CoU1?Ihp%=QMP9VXtT5<~a4%@ix=0J-8CdA;)~&d;tDzEb?k-
z@A~1t`9mDsey2cyOGwI)_VWFh%pi_|jUyr!)GtY@yM$u0UFj`I#GtN=ghF@MWNqqr
z-T%q1wjc)`mlUD4DIZ)^TW%@Kl<XC^OgJ5+8r-J#QRA(*4C@X$TwC&@2zD-88W4|w
zTmmhvX&VpK0iPmvL?s>ar#lbbidQr7l9{-wXsNP@2{o=PRp;uj+y3MbAZHdCH;>(@
zfeyxY^dAPLOV5U0gz5i3biD^S*8ST*ezl{NG?eUwL|Rg|RCY*OLdi%%W?4~DG|VzW
zDkCZ+d#jX9Mr7}hy*Izt`|AE4|Ks;Nj=$r0?&mq4`!3h@8SnEvU*~Js6@L8wSy%kQ
zUdj342lIeA7&f)d9NkID%^-oz7z#$OXqlWnS8I}R26M2M#O;~SjuQ@eVzzvs(&SLG
zZgX&PJ^Y@OxVD9K=2$HFV3{b+%MkT;^#i#6_g;J1FN*k6!o3ES>f{ekHZ$7#S=!rg
z=n$X?u33IkpMW&O?CcFS-SYszFKW(O*T(KU?HP-?I)j<ZGp@E)Q(KebW-NVg*=U>P
z$<Cl3-*=mH+N;#Yx;FZo`X(0yB;^NWuFOrA4`2!ifEcZzJYVRyIi7I~xGcbAjKal_
zSH>4?M0r?FM&M~8GLJ(S#cpi>^jPdq_w?lyAms&sWetDOfx)p0v}Dg;**z_abdC!E
z4%ldE-Ib;`QZ5rS1u;+;SlQTF`f9EaKo(tNi#WkKk2PIDXcK;DiWi30&X`omE7sr8
z+*5lk=g0fkUiqtBc<Fv8-hXIRf3d%c5uNnee~T3)=ER3nXYpa7K=s|;BP>OV-u!z^
zjFz;K#3W&z!C!A#=7-q=yl^E|Ic$DRL{Bg=d`1WJl}9XmRpX=eJ2+vLMxQ~9#z_wN
z)vH&@N$w_ki4nWXY%ijb#S2z?O|7<uAUWhA{$;sL>)7qG?6Fg~aUz4#On&Y#9zU)t
zZN^NLw-&>#(tu9g<=Ia^=k+eW;uW=O6^o|{A_*Ja0DOEP)`FigmX6p!kz_s-yx}v%
z5?@9oCXQzKz%p;MX&ar@&v86v`$DmGe=o3b<M-3Ovv$FfP7;>}dg84Zi_Ad+h<~}Q
zQ4C#MaW`I`o3^2pRz;>4Mclrk8qYsQYYBe*d^|6QbA>;v*KNZ=AJI2TZXh+Ie^-PF
zVK^>%GFvlV#lZIdEr(ZAQa7`*?!%<)2jn}**%RuaA5RBPuoSDSt+>bHiB**xR%wJP
z``KyfE-86jxb%L^(^%UQcRaShlBiH@nFARaoizz%KVMdkv4jA1%trq%5BcZtPoJ#r
zuJ#yvRyJ9ITbK5oAO91HNrNH8*$d0@VjLKGgGp+Ox?sEcC8|Sea)^zV{JD9J*-m%;
zn{%UQ_+)Qr)^B_=eZDy)O&wG$6UDh(`{2b)Ja0%+xyhsJsKA8upYUgG{CV&@NIwqW
zgD+t7{Xb?ClNB$oUrHH*FCbN4jRl}?a}`U{3^Q||andR5kzcI}YbewzO{Si*?`meN
z<_^c#{qJu3pBTwnk^OI>bB{oxK|3`7UI>++6yWapdw}KEPPAinR%a~1mn1>Y+=*Wr
zfIiN8f2l6OT9azT8{r5<?N^s2G=%$?2{g9?R)-l4vU&s-49bFM;^!t(<IIU!JJd~i
zUB<>qP@1P@^}e55L0KFu{1~lwDy3+&>}km7#i+jhe0%u;iEPlx+%1{J%hI>%Dy3Bc
z)774H!Mhc=1!5?V*}NMZzP)610qV28auhoySCm*u%|H7owTEt%8eAiop^fBS(5wN2
zxVJegBhdM}|3-=F+^51KM}Ks_-MMyMt`pE&WnwEmD1ImXRwOpJ|64JUJ4Kle`)>$*
zoW>g1!VvP>3ot>k``+99u<$|Ry$_g{BWH1rm<SB_uCtQ(3C*v7(Fas>KLm&2C!628
zl6}Xo<lym_pOud=XWX!z+qCqU_(j4cQZeXp8u5NNG9LyUR0xb)tLEfLHCQcOz~LkR
zsHm#a3!daRa*mE|!g9|4VzK@sEJ%xRtn!f~`k#d)C0D09R;yuB;_%OQTnVIRM?CtQ
zcuccp=gc*&U4%C}VlcS;80mx*Lp_ZVJd4l8r6-~zA19b8Pb5i^M~+Z(r-m8xIGHGK
zT<5HybcrU;rX*-xmRnSIL#><G_TD=VfYuE9&>)jEFEU*M<k@T{GD75bsPwtLV+6z#
z<2u3fEQ7=qjckL7hvl3D4y&8J!sszgLv!qeW_`EeB;dhQXf;!RskF&B2%S34EVnMl
z<<5c%|7oQkEQ;}7t7S<^ii174{218ft;M?|K$lBKPOqd9J(1X!o=_59bIJNG0i~4p
z%cG@+EgG6~xSy9CZ34!k51NGm^Pu@PtFo`s#H8)VUt~o_98Ej$?%I7Oo2}LdGvA$D
zTE^v&zC9X`F0qvNWIT%6STyt`p4`2EKT<bMByE*#f=3-<W$X2%M;+Yx4=iQ}tad#i
z%-#uQgK6!`?<XKV{oVo**>|7Ztpd3hLDPq?L-th&i_qt6tAn*&u$b)`sG*Jjs6KLW
zkweJs3{%LO+fXA<HxpQiy==Eiu-siEt#i#Uvt`b)Wa=rh>FjGXynj6X+-<GxOf?GN
zijoW%lC+0*BB^WmhIk0}CGubmLxV7Njq4VuWjA3@K(fR^I{$4Eg@|MU$a?%p&>Bjh
z?J)|w9}Mhvgn5nrcFT+uK4{oy&%)Mc2|{;*URm(P%)ksLqjc73JjRg{Z(eL*73-OF
zkgp{e6NRP%Tm@=-L|i4fam&2myh+G0?e^ypAIQs|eVd)5vR#uY@%84t==c<Yynd5$
zUB$x5$Ymuqbf+Kp{UGM!J#Y>tY%gLkKeCN@C_z3gsAFoR18DCBs#Au8_LD<)>TN=|
z`$gOxE?@1+A2@HNqp9p!(_*wYZO)NcIl#2%Qau}G`tylp%SN@cz8)OzV(>X!(5#+H
z^oDbtF$XOs)cl1nEz8{uzOol?Z=Lqd3s1fhciht}n3qv#LOrfIfN@VkvB<KLUpw>n
zyvZ%44OZJ$GFU%7y~5HS=Fr<Vd_>=is=1A48OMh7A+_?tnV{9|B8U0QX-SXgOnu9#
z&xsWOGaaW!pKG<5mp1^hw=up6BM>Hv?nx=PN~z^^oWp0qHY%+@<`miYHStsQRv29w
z+H(l!<=_aCNB5(omPQtl(D^7IsK%bL2<rmnduQoZ9fLCIfk68B9NzA!f@BbaG@ZEd
zD|7eB-(TL9zb&Gxj%Q#mzc~1{Ggs@RYp&&UXw_ChF@fayrzVahCWrJ{h0~8D6|r6;
zzSM-qpsDi#fNS8(qYy$Jt@%|SA6?LA7ZyA8Y+h&sc67pTw3=g)u3(z~N2tH<#^B#g
ze!Oa&r)#CjH#R@nH*n_~zL;aBV;DC*h5g7{n)pKeDdje)5DE-zcaH^p;B4?-b7<Gb
zD}TG&+S*7Fi$(%{ntb$Tfh>-d-%0fB1-q}|d#a#Ze99U|dgn~nZO^RoN9?a8!Nkfg
zQO8>&_Hx}ot?>cn4?ROufTXTX*srE6ev}^hIBMLj06rpYV`rw8RFv$EXE&rddVZZH
zD!Y($snRm{fDL#X4s1S{Wqym1a;1FkE=uX{|55=8Af060VQ(p9{&OVYbP=K0&opDB
zCJ*eGK~PZRv)<s7Lloz1L)V83f|Na<LE$4Vq5?ED98z1TcbobT-NErB`iryWww@cc
z-a7My>(2zUCXJ-N_6k_((j(ppkimVc6^pu*vy-4%FcLU-uad>N$4?AWffNjdUu6*)
zO2^SpMuUWNBj(>HbrZNJVH0SlXFr(MovEv}7r%#o=a+lS@O=AJrdl0o*wE_sOSY@;
z<lOGBCzW?xP|4p6ks=q4pM-&7pz&0x2o8NnMVww6hhfp97b`IE*7`Pn&ke;*Hk4tW
zvg2YO8=2pF7@dkqL!_3)jsv<bgagyQ*ZL6F4?UwZ5EE)PcVpVSEJ2!%VpM2Mc3<%S
z&Psn6JQy^%i$Xcj)sk@C<Q7^(Tfja_BQcnC3oyaxv)(>;qPR{fGNCZQBOeAOCTHwm
zMyu(r!qnW#w}-S?U}jw|o_z_MhlVe5A-Vkm7JsZH+wP+AN*>R^w!?FB??FecCRfW;
zdvRTbC9@u7^Yi_gU)Et2e(TTkgGt8v(XS-41{?)uy6-14XGwc#O**t~q8t@ns&)^+
zNdC#u8z?GIsh$^7p~jBG)Ik`7<i$@{?$NY76OmRurnxr86PZ>dzD;@UAegD8owtsQ
zQ0^pH3J)q|m<NTA`#ZgKny_5s=u|a!Qzhi6`ElI+4s+4}@7A}PamPyT+qA8Eb<C8W
zK_T<AVUO!;T*H-Te|F5;TCF%<{YK`IQrk(D-SR#s$d+eOskV(;9+ItC!ahvg9X3f{
z9CT&W-hY)PU83S*o7j2W{P$4VlMRR{9cv(_Lsv=S2ScAi0^J0ew))m=6<gP4Wmx%R
z^XN#XID_f;E0nh<<D3#D6i~Bnis}+0DAKyUK9%>%<07%>GHCMCN~Bzi)6UX^AdgG}
zG$9G9x*w7Yf}a_RWS{=_2}iB~L|~hAMxi24b1+3s_nWi^5JX1R;%>Ns7(ww&{rSYm
z!Le=ax^;)zXv)RLo(8U+0bw#|r-L`o<x_ud-m28tFISy!<vfU;!C_x`ZF+?2HlZ0g
z^dLI6hwk)Vqzr4J59}SC!3BSkvRlNk^yROvF>Gq$BQVJST@1&!KQ#clTv3-L7C&B4
z?mXVwxbW)w_S5Lp1$x&|7~UiNqSL=dKSFaNGkMB-y4}R+fW?E4BCRvJ`zUS-an_(Z
z@B-mV$fBPkTNmIko^<sqC|v8yezY=s%HHKi`r|0-V*$p~lH-5iXX_?BqE~Um*+p@M
zw8+yIeod9jheG>uW^FrPdtrFctn^<k_-}1BgpD>Q^xW^(GaZ&A_SlE=--G!U*(!%$
zSQ<IDhWekW3J*2=?`Sx!X|cavqe#C_`WL$wiBxdsUkZwgUi#ZzfzA<EHC|5#)O|q&
z4{URqgt#F<H|!Or`4_|o(uYWEL8*8ypjlJW<i@n&ZSdCLmXjBh#s?Z|=Xa*bg(k~V
zQ!X8}ayP5U<-i;I{7!_7G~Yed9F(LE)Zk{{3eWebl80~p{#j!kO`KzK@Z6dfr>Cc9
z#{$O>Vw9>HsTvgU0)T5KeJdyo2XBALdu8f<l8(OOz~FfuM-9BtT&Qu+FQ<LX5M(%S
z#rh^=jxWWu=`)nqd6gnAWj*l*tT+kq<7_6srA4&0n8bw>$vrFr0#)g^CjEY$kv~2L
z!31&615heJPCA5vwZmsZQU@tP03l8wJdl6n4Tb>&&d(p%-EqnU71qC+hRISVD&FZ(
zMGTz{`=3moK~sfu+oQO{Vt(4ZFhn#ZBIf~`AB!0WJlxkB{}5UPO1Zaj?c({%`#uj3
z-`aft5Hh7l@^Bh}gs=x2iRBd(=lpf+?;N+2R9Ahhueh77q)q^?Mkb;+v89nOZ%Hof
zQ(^QnRp}D)ZKLEW03UdP<{@w_54)E-rqQU)^JSruX0iEJx*QbtHVdJB?}nC$rytJV
zmz=ZB%z15v_f04?qU@b{FGM$r$A<QGAoRtIHnr!16|Cc+ml0=OqhUOv&f-r+`f@{w
z)~<w(SW79d&B}-u$#=-@skFThW~F222uNh;wB$ZcQE9)eECx5lO$r+a8S2i+7xqVg
zS0FF}8&j7*#tH@1+|525tCw*Q(7LwxRb`qer2AW(B8?NR1m0{VHtK~w3xd<DXdbPu
z$wurA0|UcoLH(Khe47$`T*sGiyE=toZc=p)?4SK_cB3&#$|Nu^du-3KL0H;9@BDIa
z^xLRR@_799a$6dh)sO@$pVv~Fv$<i3*~-wu>Y>eK*mTuVt{8o1$^1RM>x%HdxI-iM
zdO{BsoQIe+?O=<4nZ1bBPy~&^Kx10M`M4cO*SnMti0KR<(WJV><iIj-p#8yhhk5I2
zWxj)JP}^)Iu+EU<9Bu>goW4+5OXeksclifl+(LYosLx@lv{3c-O6gQAI)kLs(8iM7
z!qWR%vV7*9o$UoD*IHXTJlk;QM*0Gzze?r;bQwQwtllPW$Q6gj@W$+#kp;DeDo^XT
z-G~_D8j)V10Ml-qSU`hn!zL#J?jq;Ilt&OJmqzBZZ7;04(EeBEI5{cK&6PVXc355c
z-G&t8XXZg7SDM3QH~N=jw|g0>ZS1dz0Zr-1Ep8wrxC)G(^=l|j>M7R^U=8EbdD?L3
zE35eC8KdtUgxrv3T|UvmMsX9!I)^2r?;gFI!dl@+z;;=)t{Z*0dbN2P7Eb}@?ihXp
zzTPDO#d(!URv7*ON*aHoJjLR?WU-Z=0n7EA)4g-S?+&ZlfrP@ELcK`NalfHi!#Q(-
ztOH<cleWh#>LeF)$5XYG-#_oa2e^A=72_^5xN2B2u~JuA!z@=fZ8~WFjRq)|`W}A)
zOU=a6)?DZ9DJH+NI<SsZe1A4NFO(p}*a7sKi>7b*2>O6u|K`km+<&%}E+;}(Fxti#
zb&l*=knG|O@9v#@7~5oJfMcCCiQr^+p5TS^-Pp$%AG4sbMzHWhj_HerHy^)yD2g<{
z=3s@1Npd0^h_uTklg`nLjiE#q69(RWt^R{R6L;*t;w&J|Me+LC(|9x^g@7+OCpz)f
zywQRc5?v@LZ=~l9-MChb$+;`GrU3?q0=?Zh;qmw=LGYYLregd!0KcvX|2`!FNi>0A
z$hI8A$>No^xNC3qI}82z{<;*SPY?Q%P9i6RG(b~!h}xJ{@f*G)FtiQaQBvKW`f>xa
z^=M?6$-*>NMMCml%$2A5;NxIEGmkwbN$vBno&yjqyuzofr@Z-{3fo8?h9fq+rnjc?
zbYpk0%^|U}CRg*(!r%GSy)k71JTe$|PRV?`tlNS5Wo3Iv<D0mMRZr`Y;Jgr!oKl;H
z;0B<85#!pgBb4cc<vY|1s$*YJHKJ2VH(OR29lP;>Im@bH5=QxK;-0{}qVWRdPiFt`
z%*IhqY*N_o9{tgUPigS=&EfDVg5bh(WhPJ22g^X5xl_A#QkKS3o#_pwIYiQq?%)5j
zBU|VK4Y_pAE`xwBMxhf3vb}33&>z4S)mSR@<QeT&z5;cOd2+38+uj8r$N9S?^)O@K
zCs1eK+!!};_Rn+oh`aIp?E>&fxLK2NQToZ<nL{iqh=;{)6R1PotS`_!jg77ry653c
zztxuR!(C?ZNoo!t@8%3<)a$grka(;?Cj3H)p3A0&R!yXD_EJrZd9Em7c2;Tm$MQdi
zfxhr*ahrPgaZC;LQciE>Rh1$mm?jKJszT9=qE~ouK368aM)83dL4+FOvD!{244gmd
z_`Dfl<~Ez$nnp<yAM7Bj9iScQA8CHS*VyYhN4`HOPK}&god<-w4-1h9<}*>M9KQ5%
z-><Q(v)Cm#`Ye6>?~#D!qt#NbXiZ+mz;d7>JrKT4R|%;1e{U2@8=pVkh<Diw>@rv=
zU?t`UQV1**09zNLU_+lStf%;bZ+9~<h}I+p4v(<$yPOqc-Q`nJYztXPXAf$Kt5_%i
zh4Ev3IjkQu=LR!S{|=kdjk(QdY-bTsjag#5Tycxu5zZa)zI^gt>y0j+va2aEoZ}F)
z=!Mm9lC<B@yH667zTPAikXZ=-n!vf58{_x6RT;;jVAs`eq_7VXyPKyvy?Jw3f;A|a
zR(WYt<O-H?s69A7xQaU|JoRz5=Z!D_c-sub#W%3k1I@9-+BNP>D;b1-evAKp4hor)
z9Phb`NzA;4b>)Q8NO9BrlWy8%PL7-d{wvqml~?8f{JK<$BgU4v)U}r*8;TQ12)3_u
zkAJ2m%UvKZ?J@KAyj{yUJUnrGOqbhRDH~y~D4i{Xut#x9x`AISeO$)aV4?%xrZ7e`
zg@1sYKW-|5{)PLN9Mi(NKJVFsbt$NiUk%bMf}HQCV$-%yz4k=y);j4p&qQty?Ok6E
z;b!=gPMb;CrXshPBtZ0Cq&N>8o<9a1&c4vw=gS2|pq=F<Tg~Eb>;B&@LpkI-0a4@}
z3f$9wk}$3B(^};!ugM;N=$YY~!}s@i>wkL(9@K9i__WHQ7r!PxVoQWZXbvO~zd3ZU
zDQEiicRQ!qULODQM-Lws0n_J2!{v6)o?s`$h6J5k*QhZbU;*NTcPC+KzFX3V|Kh<E
zNkhoOIzc<K3@qw@{P1f}X+9>rmmPhNC*$VYdR^Mdip4>jF^q^n3_{<^m|4_DtIL9n
zIXG&Z4LC<0cj+Ujd|0%qh;d}y*y_b0ps4sb&;6!2f6Ab%eB7P}{emJHhBoQ8&6Haa
zu#MpkKK*UFKfJq!gapAg?<H2T&Sq7sitx~qhBV;*U1B&lq_y1nDBW6jrY&b8CN2G3
z-V0v%l-prLy<Wqom=1sB2x8)6v-NoWn0Yya?cnPKTZaP^r~!)D*Rk4Op1KCBEY=ia
z^F?v9*HqE=h5GwW<LS!RQby<YJ-V|_Yf0}H#tMSaJ!6w>_OY=FIp@LLJZ8VV9A2<L
zKYo8IHrcth2M(<V$J(sQ5@NNIsPuAMenfO1F>AhQ--5qd>arcI+-9Or8a3P(nF`6+
zgWzYMG2y{_1V2~(q@g>f1aJk2JwQh!vW#Xf&x?)qsnM^TxMEXbT!$XA5S0~;ImH=S
z7KNfinH{52AWbVE!KwQK8*fZ$_j{Wlk6lx}Rrz6z(#9qyLU!%2?Q6-&ksbKg+~giR
zew=e_Y9;*xvel6Hc^P02ChVFwY-)^)BJ0-BAZ8k`PciDTK9tF$FnX0oIrvUX2wTGJ
zVXIwxx<`)1e}>P}=-&@<=?;q+#SL!7gR)D&nK9e5cAJ&g2wHy`>sWpg@(O*^A9jc6
zYNm0XH{E@fZAy$Mr4KW08wH0UaG2hZWF=v<{pYq+&Rtk$c{Z&XXwk}*wYvVZfVlmw
z4%MnyI&>-3mMm0}pZIRG)5MSD#aGuWlQNvW;KEI;HO1-;DY;A0T1S1A2F}Qnb>-aE
z9qE7F2wHC1oK>z!$+cjjCk@lPRX!ghH#1_>Iyj!biqa}dc&Y$7pA*F}($J(b;U?NM
z_3W76S)cGRhs#<kN-yS8$ry6iQ6_Y0Z-A;+=fEn&oTuheQD@+ab6nH}2IeRI68}9p
znjJMPDd8d9`kxj5hD)~#kgab`^Th)^hxdJ@%dCSnn;rmg<iEloN3s6i)bx<k(q8Cg
z{#?rs@V+J<y-n#^anfxJIo7k&z*9FHQj0>~i%YHti#{FESGxX=#p80iz`zevAK&xW
zgn5|beX&6&!~&25E0SeWffHl1LO0egPHbm)9J2_=hUHQ}vu{PZGKh7FG5DNT>ua@!
zf59=x<nQJmXR)YPiV;4KGR6ZR-gfG-iM^EcT{Z@b_B@&ytZ;Wj2U`g&@FFn%K)D^q
zw&&G-Z7F!-L~tlJ$8m2AA4&vKMx&I}^?eo$3D()hcpVS`{ihEDtc}LP4uvG>rC`>$
zPq@O1qV?PoV<m@(arL2iO|u#lhQ4^=%4WwYtudyV`#1`}tq+#)cxZ6_f*g9z-5_0Y
z-wH$TWzc4er=@hHA|HZV0Z3ZH8q=-!UfP_Q<g~Y^Zx#n!#sU+aEujs-nTHTIcM)i~
z&M9Q=$GEA4a*4fYP^=mrZgW7RJ1?`0z?NO5UY8@SqPfbq6za{jUAArYAysRGmcx7t
zAH^-2kU=qXmI}EvS+&)p<HMM^7dhy7nSbw~Z@)GASBoa5MuXEQ99Gdl8;Wp#iX-Qn
z{FuG{GD0;l=kV@cEAnT9h{QgOBNz2PSgza1BEp4!Qpob{^LJw*z=r>fkKl$^h1pOM
z0P~^g7owjXT2_IQvA5Lbg@wDYmZVvIVxdnm+A8j4%NDbO&8a)Vu)cEOjk@xh!y5>1
z3oY524rLGY$Wt*X%_IRazjqOj!jIk#9B@yn7RcvnSLn*@)wjy9@HuGCsaY>+Es(d;
zmDzyBCb;q?4`?NaCsh02TJ{49GL_GLpObTr2(cz^_mfv}GqVhZn`+I#LnP^i14oDd
z|LRAgL=%+YJ3lP^d#0r36S@b({j2D`z>m>_PtiWWHnyJvYB@%~Hbs452e)abBHqTs
zZH(>=bxyovUBx_ru#bG<R(rtRZhyrBj3VyoYq%MvIp@|OQmAo9hXfEwz7?z2)9VnT
z;aCRo^}Ozw#ky1L#GpII&?2-hc?vj6(q~wz_J`yjyE~s+r%U`a$iiOUe_zNNdm75E
z-6!EMb8YO*!S<oBgLl4j%;X$m?PJMskiFzl&)$-G_W0jC>HRd6rMFLx3yG=7Fm;y%
z?wT5ENr{QW^Hcz8lCm0i)&_FZ9fa8P+Wfd)@VvM3&g(lRpWC!E-qaA)mju~jn?o+Y
z^YkQ1%1XQG-M#A6Vk(LXF}^ECmv7P_(PM3ciqwe!+KpSCV2dBK=j(gRG4jVK*;m_V
zJN!z1-HnvvE_|^s5JhQk<jE+p7x0_Q$!URg&W_E;Z@9uT<~z*k#S>rmqeo<=iTEXS
zJJexRK6pq4ClzLbY42kVkdb+gIg)3sU7<JFNbmBaQ6dLQv&f&Fc*1B3f?&sy!h+<k
zPV7|4dJ%)15;-Cufqa39@wY|5_^Tz5C&MwLfjXL}xJi-3#hxt70qZ=$<M#&gaDT6X
zO(WhHlin4S))tasN2I=FcL1Kc?Y-F)IhpS*c<F6{Q?my0+yUfoIr!Fz5%^kfat?4Y
zc~I!`7|D+R)RZu41@d<x4B7rG#vba7aFjy^O*_x-jG^o&YEprs*!p;?EfLYu#5w8(
zllt0zo`XZ=cf^WIcr*R5%a>qS&JcL*i&^y*dgWJ8$z{>3A;?JZ(t6kw9pqT=Jtd5C
z-5wN46L%s0YvXp{53%|Kf6He;)+&<4Syy1(Ie@TZeQ-a|eAbgsSYleP%NTNN4tClF
z_Cr~QigW2pIDmz6rp_%gqg(LB5P5KTE#(N&NRtfgEu}Bd%$79n79Og*J$MT?V9f#P
zT6SVDRP4k<TE^)p=YT#2gd>6)j2}+yJ`)C7|GF#_4~>KUbzo1oaqTWjYdOHM&cvV1
znr2yByXVL{47<Tv8Q8jRVF_L7oJzaad|LSA>a^~ws&1>}0Gu~ay*8()+%o5B-lFJL
zY;RY)9Q{M{x4i<lq-bSbLk#vfuu-`8Xi&EIcq_rrW~fAU%Fu1`&g_!r!R((ZR@PBI
znwhS#7d3(F?l$SYTynyF{>Gk;U5Tydv5U+f=y~}AgW849D#NVs*_@II75(u+n;39?
z-dt;SS?S3Kql)B$x$uq~xII$G&mC6e3;c=5`<I{UT<k6k{0*6-iiHsMO0!$K@#ohD
z^wvivlnHlEbC!geDZ$W+h*!SuqZbvq3%-&h9<|ts^EeB<(TD`uog!-yBE^^wiWO*%
zzxL>(Rz^)%Ex3_CZe9{SoxgAh{HEhU*6YtbC}p<X(Ny8(js6uWa!jn)7A1eoLP!6-
zrw>b?UNtAC*{fZP`H3<4u94KoiPECCM0-x~6Kbr{?@w<!i~Y-2?&)C<*x-C@-Ewy(
zruI7@vFkeMFnwz*OA=Ds%#|)t@IrA<sVs~nJQ9*wRvA7rZ;;5^ff8Q`#J0a`m90>!
z%$l3T85r^5T-QxnVx8$9VFnIzUjXtpo+==~J_S4|@X8J!_hsyZ)%*c!kv1`0#27Ox
z?y3`;_p2Ne-<`LI8ZdV+`GVL053dg-JGAER_$5`dkL9qVQHsLQ@DPA%A=cb%^`O%+
z3C_L!KE7+{(O{4%g}#<LX`zNa{xt<nRm0N;Y5{BQ19QiohK|mWi~YpX0%R{G+ZdN|
zyoY4%G+W9CoQU|zwW~@F_VJqA#G0bcY0tN(<K(L2WFbJ<+~M?wc(3w8u^f;`uVg5%
z8J9WwSS2p$0ddQ;oK4j-W(eCg%A}S*)QCr}!-Q-JoKt-SWh?@J$KUUi^R4!qG;3bx
zTedl+U^dL(#E32S8xN`_H;~x)0eTk6yNw@r!XIFp;Da^eOyj@K>j+s}^)s!gxOJIs
z7x7rQX~c%3XFR(Ad*`>-W+%E2pxsp`o8qtGz}1*zoatjy4qVBlJel17?<S9YhtLq#
znr5p@zJB}0M!VXbdF5Lua%eKZ$PhBh02x*2fo?N%WgFf2^aOIF0Uq!!&6GQFVL&-x
z8U|pRM9yq>7=iVk;_=t_cxLURe61&@Nrx6Td3fTY+4URtvl%Ss-w4?yXg)X|c{&6u
zgtP7=Q|}aBC=k6WD)pf@K>}Fy^H6e=#Cm;;pTjAy**DNcQpt%WldDwL)awCbK*7pf
zJD}3SwZ<USe_j~=o8*4FBvJRxUJTSHHmsa{xG?<Caan82GLCbrTrX%O{^J!-Gi=(#
z0h<Ab{pa^vNXdbLg5yTQJY6!D)~kn^fF2a*sdezcDkR#4bB~H_Gr8xb<3g>KL$;E2
z1J3zPPE;iEUc@WZzDI;PLe>q(?8bX`EiG9KXgjR#zb+?NZENP@g1;?S2fo!MD_yT&
zabp3sTG6wxL9go{kB~SF;+%(dy->r33RHWtZLxrOTzmD#B!smS5v-<h74hN&Gm*Xq
z6^q{=vP%T0xRTIyzvK@c1q2OV4^@Ei;2vu8L}8y~aA$KDd)>vi{X|!3(0QU%Aq)mY
zCp}3SalLnpE`Ay}N15K`^jeUb-1mIU0ELTW*$1v?g0C_Fv*(0PjdEG)GSvObz6_N1
z7|`oREFO?`_9!H5#i-EAxsO<PDw|8(YIP3A)|3qE5K9t{pr!8_o?PSCazGctF~gEl
zK?nyIx5o;HcJxifVIyE5YSHONv!|lf3$s-bu;x<Z556@pY~uid=mpUULd71AQ<;1G
zq<ZW!%E(^ZTbw(p6T_cgvQ)Zz!A7-z{z;UpvL-qd#0|0XeBq+ZKhak25jugQsl*$)
zTBiPFxwR}p6S=oS$WxVkmqMvA-!eJ2S}mUq>YC-p->!D$(iT=&KKO%wy^72)_?B@H
zvp$n0hL@lu#qITZGiAuId-OvCxrvnFT(X$`V{|g)kw2gS^?8oiUWa2@r=Hlw!SROr
zU(h|74E9|oJY?H=x~5t_e9$*APm@{1s^GGu=7HJ-$aC7u6M1{kHSkmEO@9J7+la*A
zfhWsYiIwtI2ZdMj6}kn@M-Y7lKPB})XXW)ANMBNU4z)5;;7b_EGHJ;^d;HbjSKlFz
z3NG6krI`{72g0*NEugu<x8@hTpr0lh*Opa3mG18~j^OYc%ASiQ;W>UX$4ncKj=dyZ
z!m&vTrMT9t^p&_KvI`i;ZvUvFkB6yh0V1ZAS%k@#0ljJc-SZ1P7Dwee^AF#8gNe5?
z!B8byCnx*-8uRHh2c)$!VUnnv(6-bwM7%&t{t!r)2g#@h!FEmQNjqKp*EZt1-*c+p
zC%Drlj;@Ux{hO<92P`(<Nq1hk`p%H;HcCr4hn<L;1r|#rXa(}6Wb4m5U>PWf;v+Z<
zu6DVwY0D_29mR+dHE77*&Bc@`j^j!*PD5AbK{k@yt_?mTm&;l5ArNxUcT+#@$9pyj
zem@2;C@!448@FozazwvyHh74DR1|iD@mZ6`^bSAfWQ-N^Z=ES|wluKPHjx)4F)SxP
z&DR0aCFxTgHdgae-JdwGKE4FG?*}mbTUuYk9Z7ODKsYXg^z{8+61KV|ld)IA_Cx>C
ziJoJh-+kp=6za<ya(P%-tZ#XtS>o~sJohxT6=@?jFyecN|0}l~;N#etJFoGKlVWL$
zeTZ_vBbM>0RuI(4VpR@1pqr#;47F0y=wkwUa+ySP5Fr8YVG$7`JYL+8Y}TR;p0r5=
zcthkTPkbow81thQ2I;+AH=A%;u#?1CLKAHKL>kOYySMGAeq9*hkPSD4KM}8%CAB)R
zCh7B*qUT>HR~!Y|$95tm#sd8gRSNJQ=O@r<U<;U_WM>3>(3hU%YU`{gNE3rMm&Vg<
zGvwL?Z<LjR_1k&4-Zk+w2{*}-Pc$ryKEix<n#@NdyD<oEl&~q$slLxa{v~B7dE~bS
zd9L#ZxHfKh?q7UICBA^j5wXt2`+=#Tedx<ZCI($sC~Q^34=$@pid8##;)I+-I^LvR
z#wJP5B(kd2jM#yy4HU^!?Lc+nR!b~8#wlGkQ>NeZHtw>`v_TC8pIH8cG>nTYv0tG1
zv?o<VMux@uerq6k<Z(Srv}8WMNxPJ{fDWIk+0ePvH;i%Q1-28#7<ap{jem}XgEm?A
zkkbj^lRP@$(%KiiYF}L*_te90)+R6p8s6m9E{Npnlh!(As0jc`d~g?<dDFR1_I*F!
zJdmA>YheqWi_52iB@`|(_dFFIML1TLHU<#E#mZHy+~W!`ts;&TB9to@5sKV7HnFI#
zj&c0I9m{I6&#|TRm&(Tae-Thnd{eRqiM-BBu&aKN79YFnNs3vEsj<$^BR9P;l?Bke
z28c!yC-EjLjj)hS7S~9+8pADNyYI4sII5u^^2Gz!knNP+kLE-h)BNkX$hoM^h2#!n
zrHcFS-Tn{-)*tmb&sff_%;agNj$P?${A<dvDWIN&@DPZI<cheO6S7T!RQPQ*tJXcY
zcoXNX-^zP8_CF}Qc=BsRhdQ`4PQz&)TaDyo9V%xy2EUq;U*Y5<cGP>lvDPUnS&uc9
zko5$c1yf|cMa-$&vZcMFn}dCO$(GI<uX4<5n$35SCxaHauv(b!Qesrsz}#lKwH2?u
zNYEF=4u*<sqPGX1V}nzK+Ju3Pp9tp9L6)L(Un0s*+Y0#}^1O%F6VEw=e*guAVW#0k
zA(@l0qq*T@floCoS$KbQp;ORvFWrmkg}0qpz1)_%-q*Ev{-QS$vI}#V(LE5Y^R(~)
z<zwiU5zxUEu&dQaq1<?%bKur^j~XEYAunA4aNtc%NhD})-Lz?>;2M85rB!(u2NH%$
zf`mQ)6UM1P{olXKQ@{L`7G|p5+2Kloqu%-dTqThNGW=EfqV><Qx3BL3DmK~M#bEa4
z4dvX{iyyIOo=*7B_d&o&ah-c4FeRVl){w&v-!?J4wJfpPkeJ}*k@|LMg@{B~z|fzy
zsfgM$%%mFb(6=z~&^~7i^7qS5xLx>GyxXL=<K5Orou{t{WKJka*M#Q10ftVJ6H2W!
zwaYaH5VnFD!JsA^ZF4<Tl|;X<56a~zA|wg{mYQga0`)c|BO;g6;ym@Dix9fqf$uJE
zLTTh-!NXjzJa1zUoj*vF1^6g>a4A?x%4%xrf%^CxtUD@TkRZ>b*LQ#x0fc7dzxT8(
z*-CvKP~uwFnlfaF_Ra?sFZs%Fd6R)Yyrl<kRP)wB0TKf|$DwMVA%)GBpSPgd(uC4n
z-axJFC%D|T)x2{SXBA_$vu@1YB@Z0sN_T2VSn5^c_B0{Yg1*^1pW*LY6Y{U*cz?u-
zo63t$yei?ZtNJZkdw?6@k)gaOO55n%{(I<H3ZY^Um+(W7N@b+-PDO3TJ8|$Uk~qj3
z&cQ)qIsF$d!fLZBAHWS`H$)Ox$@;#|rOcT5`c#Hn*)+^<Px=$!5Pv1~#I5q9r;T`t
z>}WT3*~y7<wGLRo$KUM#9*RZK<-5~uYobxuO&l@$YZHh^)TaLvpvzA$%N{6R-$_0%
zR&zgz;U?yY2(TQIo80h7%gMd}qbNwkU2iX*sc-f_eYS6;?_An8ix%p}Qp*KjNw_fh
zSVGJ~V~&#!ZYwul4}Zj36H&+XHmz_LYfjE<&z+sdYMi}(uXJ^Bbu9z|phGW*`YS)3
zxpQZFmnZfOyxJQ-Z(ILN#4q4*^wbtND#9gZH*|Y3Ho=eC@BI7D$(P^kJATj=)3Tws
zYRv~WtB3w?6DjvkWHYRdwXfCeG|(`CkuSf3y+HE)F_TSxQ8V}cR+^cQ6~2|py89Yt
zr%lG>dxdYOxWsE8INf`x8ciWV<xTpoVfk$!aHIOQT%Oq32{?~Ghc2~V<Xq&$`^DKl
z!G>AtrzZbcEX7oV|4o0Wu8Ql0d<dVyH-?KQl2*nWbo~D8swrL^6E+#bVOmibKsseG
z|0^f6t=_hv7a%-x0(cJJ1+A0_^2J7vuA5x8)HSe-Bc6sfP}q$1i7)jRN$^17vC%Qs
zRrqlDE{S7(k{a*xb%LlzO?$q}ME-96uVcqO^erR3ed^Soq+Eaqt?E{306@AhnBPdv
z2d?H17QJ28VT02k0;@r?{3rfT!4eX{HIKIVBlx%o+e|i^Bn@nWJjSSb0hwwbFcqws
zSf@DkZnVB8zmdhTD`bc0?!)|FlO=|u(60x+CNa}>>D#OUAu>p>eJYE&gJdFjW5enm
z()W#o!2|;8F>$0g3s<FCS2Xocqg^IH>~D5)k-6#gZaUiMW;%TPh9osFEDzxy{8R}o
zcBS3;>WirjW3H+cdW~DRKEZ-k2?^9Db6@ImoN}JBii<R_lV3(@Z-KctE8ol4zFVv-
ztU&eeu+E|6ZPcMz>u#i4fJG)TLNia+q5j4T9M*rA_GbU(wb~v!WrHOjH?TCv;bYg_
z$-i!Gihb1RZ=`wpB1SX5wC|cYdt}LeNnR6h)1i}03opucko@@FCgL!J@PSs=vw_Hr
zz>K3NO%8@hez=(MM<%o{^@Yb~qYIB7+T=wbJ)p+u%_Ta@d&G$Ri(+am9nV}StzXp@
zV@QjuTIsY;E-t!(t24X%%_}#FtW(H53j@ghE%{rrQ5AQfkg?zHdohcPOP{cv9R)!;
z=#z$MkMTG`HUYx&>Tb+66Wf<6)8Z6n`pQAeYL;A7{4l&d(Y^-#>3G34yjET*&31ds
zru1Q$^BEBTBi5>WiUOQyTw6`X#UdQL8qXZHRIs)Gu_4W_JDW7ro?f>N2A_)?ng!69
z-&;1h+Ltn%GnD`~s~l>uKK_RRj1Ns6MnUc8h__TgR7Hf;z2(UhD<E2*y&dVaw0Jsn
zFF^o@Habst8B=i(hPa)(m)$l?olnQ1Cl9_=yHyMIvkspCcmPP$ccZ{j2^iO;<%hX$
z=%@!GA1v_-C*aW*>V`VEL%GS}%%F>%cIE-Y`tVV!HYIJ#0^ys#*{6o=CC-as*gunb
z$9%+)5EKDdYM$$?q{Xm@V9VJ8=-xYVO0}CT<48A4_k{cGePYl1)sE9s(?~57jH8!d
z<IS(4;sWvhEjuYKX;vNO-M~p6SLd9+m&D^pHz~MnFd<^$*Q0%kQ-zxPNSX2BjCaxz
z{T>0ihXP8QJ~%-Z=m#`se`ndJz~EhlfGRlIlgHZxwH-!I%ELX%Vff3MKLPbuQL8Lw
zM)eWXb9-KdozZ!!5YkV94jZhgy+3{W^ytT0mS9)g>lb`in~>8Rt~>(p#I|C3xYb&R
z#iY08D`x3Si<Z<&h_kIkaBva8^q}{>FNUFxM<DzpLg^!G@>_X0IM8?nX%q#Wj=cSW
zpG<r9<;{snaR-b&3$rbSiGG7i`5^b<WuMMLUKxQWWE5*Ge4O()MKj6r8qJy_CNSca
z$d7^``R3$GYwvM1NV^E8GPI<|BT2$`5hN+qIQq*O9BbE}xmV3*B>E^AnW5w-UhUHr
zX@q!8?D7PL*@BwudsH$Cy{+}^9SE%39sa$hgH7w!`Md8teZe9CBu#;P%bL}0>U4|U
zkaOE=RTeJ!NWACr8!X^~pn%#bK)1={=j(fcweMZ)GTpa58|!WfEJ&RG_|SznKl9K6
z@XNG=x_N6!xKzvn8`f#qOwP5AMOn50yD&9g!pCwJG}b!c&$VvDb7J@JCTnb9e{*aE
z>B3(Pb~OL%9$@07@Z<$DL5o%j<It}43quZ(bRgI=y|NGF>FtR}x-@HgcH0lS?mjlL
zh&Kn)j}RUD?%%7NYk!)H@9njZTFq&sES5k0x<g0ywJerxU1)3kuzHgR3wJj@=jkO6
zR~MH6)d4geM4qNpK=>AHH>wV7crX128^9M>a=w(Zpk7K!F5C34e))V#7)x}1d>v`~
zb$kS@&jeP-za0<FIsa!s%-C255?j<D;Q|#j^+c&intEcXgW3YVJMr7EG0p*7q8Rv4
z_|<O@8MfqgLcaM70bfC-n?;ON8A}_adG<8pAVg){4ba?PZ(eZpf}WI=^Tq2Mb0w$k
zq~xp~9LIxc!hKy5r{c(GC+g?Rd%k)G-(k`_A1wq+HwOnE=>t<AgG-I7U8|}8#n3^s
z{EKN0qSYNXi2;Vb2kY`Quk+qp?Rtj~kIb3a%g06xK_l_TUK=+W{ml0pOh2I4zEs@c
zDg+Y|YMdle=V!c^+fp+&pVmS*uDM|fuXqIT*vOyJVdVu&WCR*oaw3(|vntifMxKe8
zcc`>+_thg@uKgmGGTJ**<WD8-<=LUm^=Fm)E<1rHY-5RlEzRchH_VHABr$|IpFvy?
zo1%3B=Oh6^TCzAU&f99vlE|ZrGLtP!i~hCir0ypG>r!WI19G>q)Tqk*E9kQYL1x)T
z_aB1z!xl4n_$VP!8(2Oyx#9Q-e>s^Zx-ck3vgKb0U+vo?l7z*p3~+wEhH@$bj6QE&
z4lRxO`jvJMq6!P}C9>J&RbM+arKWBv_ET8RFTvh+<W+HS`ZmrOSu-y%b-C#t8^Ra}
ze$PD5;l6T;pf`l99OFomG=ZaC=Z@`Z7o$j(kkv9(Y}DFPaLsf!{`3~Ao%^Hay6rlh
z@pAdcd(p+d{KQA0(K(K4YN}d*dPqY<?RKZ1q7EEoDGmY!YyI~9QlAZ;Wz1C(alXsL
zhY|-Dqo<z3D4WS}j{0BU$sBfb(l4pM=EwZLW~-&b=PN@OYHkC|yGXS1CdAf?foHOX
zGeRVLzd^}%#rjI~Wdbi(F9o&CSIDx-qkyx~_WV@N_ez{@Mnxw^z``eQ#JqOIrzjfV
zftX8+SFb#R$nUz7X&73<DgR)3SE-R`CuF%@kNRP1T6y<h9IBpT$a8-#kCiJ|77#Wv
z##moCq&HMPT7BvI)p1OEn}>Tj1TM$rkHXv6pD^562+bN?Kz|}XseGqmhGZi8+C=W-
zgjH^LdF!!)RGeR<*g7gaT)%_gHgph_5E`r5;cpvDr}a92>e6i@d7CurDu(|PbFy=+
za~mQmVrR38ogW7Hy8I3d6w9aUNheQQ3-cd`)>LsZLodhW<ORtc8=Rf0+yk-1hxx_J
z3(2ZwFF*_^Ao&?6mC2JUpcgnjY~Q%8VQ5TG-Q)XjkJ7sAp5>-cPc1Gv-TqUyax*={
zF<!33n~LU>r!#EF3_!m+A=XcH3y_GsTXp0K?D-RU-|v&~*lQ;)4(aM6n0;&$g-=TE
z<Qx_LaSphcy>y>BrB&jV&xvJ~k-Gch_-3tPe&pFevwr<^c>X<>Y)H5MK%$p?lF@GH
z$&0#4qQw+iHNj~HB|^!y9BkOMiR5rB{u=AcYbCs#oX3eH)gJ8QV7&Bg<)b`54_A_0
zFxu&>LWn1<v}@fjd#Nl90NU77M2Ohzb~m<^@P2D}{zC7|y=3NtETPwhZG4$C`e!D@
z-m1iTqU!D<B#D7fMrt;6>{++kmJ2?61Tnqt<1&D%mC4uA@N)Ko%^VB?A>!ZJV~I6R
z$;GOilisxj2&=seq=E-Qc`01%T%Xa}7Jj<=O%DK+4|c#~0bxTZiGd4k;@ha#jzYsi
zDk{b81+8sm;kc<r_?_gl$!uTZ`#eZr&{ZGuTTpiy<-C<o=)Op$7e&oe3B+mxI9&;+
zDn+V)UUG79xyXCtg}Ldfqg*R*uifxnDAj)5_ol4p>1vGi7JHu;MMR`#Y~?+@XK--P
zRJy(X_JCtc8=H@k+`(=o?!Y0#m;|4v{f?j4a9ftu&CQ52^0@7KBM?!ZV6DzTyCMD#
z62pm!S?0L&X1Aw{=Qmuo<?U5dn*7SSk4EsECXo3iB$(mH`T5_vgl^xlJMm9g-!I=p
zjMN;jtibL7>u43)V?XFvSPx(K>ix%{loN3*NnLo$Ayf0l;%?!~if<ebB}GIo;rHmv
zY4TO)p2;h|7|r?Wl<GC2u#~Ak{#WhZ0iwgj2C7flF)rEA+}zw7MvIDQA3I8=6N0}H
zmqM$7dJV*U#H<ke;lc7@4q7!<_%KbHEG#(!3afl0v!?Ksc*Zzlnivl!1+%H^I>l`f
zxO8@Lu4SqIC@~Fl9*fpK8l*I+rQwj(sARPCCv1Q3A(Ob^tj*UI<~|YG^k}7`;6<%(
zdLO_u3>2~EJ6S>Z+9T%I0ZVX(zVpAolXWT7;cxYxDvWjZs$;)Qn=@ysZI25I3X;gN
z4SoC7abfhaZ*TAIov9wU;S?ZCy?PYqaStlu5`Lk%MEhV^XinmXfbwy*Mq3Uk5tYW>
zJZ9oYvIN6fg)Xvlig0UhV$Qt@)}SxZdtzQv)=|xX_o_I@DaVZzxmUkAm}`=sO9)12
z-ZXz8!|%D{$jyLx@aQrdoqccJc0B!lTHkxTplflrcYupz{vu8&IAWVl{quHU-(7u7
zl#LDCQvIt5UBR#TKBhvyS+#l+AS3#$%?rOO4g2Hp4Sc~J3#^eO_nv)bQpc8EHm*V9
zQC-(D@4HE~$4V4$!KvDIyvMtAAWC(G276T?SSv~ps+!1YzW>A(tVu)?AYHV#jpRsi
z6sPSfp7IO*wbTOSrHBM3qW$#4Hm^57FQhiI>_K!|<=>@VVE@)~rmCtxeaF;jR=GqC
zCFmDNc0agdZ{J``h85@WH@f%u4`zkt=uI8r;UCvlbr}y#R`F>1wD6m?P#rmOEV)sT
z400Skd=?b5eV{*eN5p&c-CBbG*550P2{_PuCJF(09RQTEzY2^reVorDWt-nmso00i
zonOGbI2%3ongmo4UjduCf47gqE=13uYk1(mff3V$U@v?YxhI*8TKakopGSMwl|Ko(
zlxFa@Z{xS{?oRQ~qdm&%bJBlP7mg}5U%IP(>9j~>&il}1_Gi|$B8%<=&-Ite0xLr>
zt+}9!!^$|E$6V$pL;acA%;%=@-|6TPdwGw@NJwLCzJdN0ryYY;K5e_dKv+0W`KqSP
zo-4-k>b-OL#NuK1B0BW%klsV~&bG*q3gzeX$V$Dy(vghiolfzAmzNUzhlT{<mlJPS
zHjKYgD3jVfJDYHu<Y1wf%pW96t5@2y-?))*u;nyiDEBkJzU(HrO%D^*VU!=O7WR<C
zgu{e5_aW><RZLubqTKI_m&@1Vx@Ozr%k86Qip<#<g_*fbrQBvEvvj}H+JZ2k-j+fx
zUZv-mv_pkY?=Je}PdSASJe%Y_d}daqg=cP`<o*c93-3Jq$*^N?X?aLLfOFR_eT?RW
z^rpRfXLM~3wtW83X23D}@9(*1!p&Ydx&v$0Py)IL<K(tB9<s+oI*_qp7MX~g04g5e
zesySak=jmBD7|zX95&mSnVE-<+`fI=eh9F!^P6g2FV<fRdJ3U8e3}}*RaekGdF(yq
z&-{X|Cd4ml<?`QNN1E)IxgQv?`Gln`G6uZPejoa4z&VR&E^E9}u@W?KbMpgJUNhil
z+Nt%R1y>$eL#cd{`s8_xNwS#m?w}7JKH!0U5*iu`<VKd5Bx1lM!BhmPBps&>+g?hv
zpl6)FQlF+k(@NJUXZrFG-@M)Z=5IZbMeW`6kE2A<bcCAoOyYI51;_sTkN?hLBgnEZ
zu51Xuv;0ps0(yxhsW0HBBJ>@he3jRGH61l-qt0&HL|$6wj-!^Ms>#7whH{!KZZK|>
zee-9(gv0btujK0B9fmfLUe$q|!C^wTeShwaPrSh@0OLuHqz@46clX5^XxF*3%x*g0
zn4d?tCSL4^g(eOnBK<mpja$Y-EPjKO-8rsDDJA_nTC@hGR}|*HY^pe@S97<{rYvBL
zQ7#=2ZqG!NpR;V(Nm<!GN+BBb;m^P2Sf;R1{+F|K#7|944chI{0)UuGpwvFK0lf_d
zdFATe+kQ>)P4f!n4c2~E`8&k^<|6q{c<thF>K{tV6&?gs&&KxemhO4KwTN%sqw43Q
zGmgq^ZAPMk#a<WJbY7Kn>2>^anQv`)%ebROmvoPM$_L!am9FeU({po*ph0t8J7xJq
z<io0Dv`xCYv=lC?xk^Al0GF9UziY|g4}6*a!AE=&u=6RvO|))v0Uf3&&waB#n6e^=
zS2|lN3QBXxLkb9PDklb*q~iZj-n|;(GFuIXhlhVk=4<tQq~%1VxQG-x4v>fa;G=W~
ztL)ua3nVjLxM_~9Bavxlj+KcLM{9z+;y9Nad3@~0Ao{pqk|e8rfqea2`_*r29}Ew<
zbTUCcF!N7&{ApTiB|A)*GWC2=iAzLU8{A-x+H^L+2zvhYM(cWI(G!w=8%{d^J73u2
zA4uq~xy!{h*r6Nx?lFrPk`wJomJqR_GR@hA-_W{#)Uc5K5Ux*raC2lL+qSK{zWrf+
zKEY!aR4MUM{fh^oV8qyXiJa4f_14Xn>=6Gi6w>zs+j$%m6l4@vOF}@QA(%VV?MHFm
zHI380y(zMckziCBld=;*s@q3VY}EDt4S*C%!X^e?S!m0NU(=nGZU9>FhXPV=x2bx^
z!hD2G#C)XZc<hs9mA38sj@kCrxhk}^F5_6nLDL*(%EP-dIsyx9LQMej;2FJe;?$`k
z;&1?G7?sC_M8obV*C)+UNV7Kn0@|7A|E%4-35jzvx6+-_ga~%s{-Iyw(VGEDx(mAP
z%2lEo6gP&H*AMufzCYfBp)Bs(6DLHvvPA937=GJj8=q4SJ6hs3(EH>)f!UqI(nfgC
zo@32IgR`P<%O+X#iN6}eN{+(>gM&(N9X^~s-mr&>uppN-H@}+3(_V~bWkZHWcli9m
zLMZJ@cb4%@qGDXhsrT4vT%SgHUDlvi4GAlHDYRFROr=-uUk+SMSxi@IR*HOTcD5vE
zwCwAy&-24{>h+JTk(BC7a49>n2oIWHr-oeykcsf7+cIi~#Q<&0`&WhxTes?8VxwGf
z0oCD0MrnDu%94p9-FqF44vsx@|ILu$Yf6}s!XW6Ev$C?vEPMfQJP|?K6iPr@RjEd{
zsro4ir})Iwv^*U>-SGdb+TB}Nah!iGt@Mo|NL0w62X{teI~`~@YOZqdU17lA(JOn2
zj#ge?%I))wUwkw)^7BXktsrGd)W;0!^Q(DgQD!ciiW9{q@lW>i`3?Q5MQ<s8;lgiq
zPsONbzfW!#7ZZcK#W9E?Le5SPP|tYxz_h-{`#u=~ggGc5!x^ovx|ah{EQiBGh@K7o
z$M-;NeG9#8&bD5Mmn9uuiSu~b^?*=_1fWHbXz%L_YMptXcV9+Vvbm{AixeZ44HmHJ
zh3%jQ-+}?Txnl({D`X-kqq#L`4Gu&s^f)cO*yzvdYil3(vQpwz);1xaGLdvum<uNk
zTvk$AFX;M=yz7JqnY4BhoP;iv^V%^vO0F72=<U&IH$7B0#sLK#`O_V}@E;6Yx$F4x
zelCnW5NQ;z9I{6V9Y`XJ7Mrkri#B6|yy|o3eEXYOBPX}wr5qAG#wYnvR6tGXrUINO
zw~<pV`YQ>Eu3Xnw5=ko?y($bwdXd-~l(A2?8&KqwjRbhPB9?I|03_d_Ozmsf1rUly
zO^D0P%9<!Qml4-(*_QH2_ht?4{vRg!7D0TSQOkv~-!XpILiJ1VI_r6Sm;RSU<A>{i
z=Zd(p7_h>F?mW@=K1|ez(-t>306EkTUHr~UKU#-dDC*$?;ZA%vZLlk`7-|+@FuO(a
zTH%WXg3nVuP%gB8$3&!t(uNUMM<zzQ&+tP6$mBu%IvzbZT4YatZ|nMlwrRyK+8W{K
z)W*KjWM8sA!)=yx{nDIVfCxAE5TViEe{F<36H}^BR1`0I2e{f@!mReu)4%lXeTheO
zJGntMJ52Uh-%&n0n*MZky?FoNFS_(j`(oQ-m&wg|%4M}4iQSz)DueWM%I{?y9NZc9
zQ?Vt%$JF`G$MU0rvi*GPsA;+wseBs01V8XIol)oOEWc@|Q)Q#=$C0q1;G5Uls=50M
z%m2L#XYws>05)Y6fA#W$ZjE^-N$kSvBogCz@5RPdWt7&nl?tkE0=Ro%KK@ytBG+Dj
zqF#I89aTVW?^yMKYbx{FanENBemOZg`<g3K&97BC3FG5Yq()1d>@|+>3Nv9%pTC$H
zZX4LRVT=Liag&$L{QP`4mI&=700Z>o$okNSxWaiQw_d)ir8P1C$5UcfZri@gys(D)
zbyD`hg9p}>0vuCa=z8Js%#O2IgzGwb0TMMwlnom`k?oq7$U(c*!rw5XHjfUDoH#H$
zlrY-jRCXY)p^R`n@S*+i(goGz6F3a->FkA#$!hoZ@$rVkBQBCI;=QmCRNQISeSSuc
z6e$I9Tx$80I`u18uK1YZg!`j9)<`uug$xwFXWm{4lnq;dLUz5&Lt!AOUY0`fDORq0
z4VqS8={C~Bo0ywm8;>Ts0My%8Txt2*TW((L`H-5LDu-8HnTmDFdN<T68jO$mo1F`J
zesWD*P<`!xm1M@OR^g1u#wX`06{X}FU(;(`IKTDxs{R<zMG2i3JGEC>P_`uAMbbP`
zLsz~%xsHW@$J|i{idSkt!1jl0oxiPd{cUksk9+GCpNY|J$Bbp9+z3CPFx*K&{Y2v5
zfTpvat$2j0SqN4|CyHT>>*kKt4i~t#Y+(?k=i>Og2rdpuWZi?U%`aD2+Th27hl^9e
zU@-fpoaVxft=ohd8O>LM%}H1l+bho@eCm5(2<UD^+ajk43}x%ajT>d^m-DYO`bDS_
zx$(B?X+`BBdyDdmJqnA${<y4p+F&Og+CBaH<enPddT)`kA>iB)(VYeMYM{XOm$@AF
z+YxvkpjbPlK6`5$Vcr1UrG}D2oF^3FiD&fh@(kiZfTlYT&c)#;`fW}B+6(1C`)wI5
z67b&X2B?c(cEpYz+v1-sAFf5<W$XJ%FDWUhy^RuGR9dP`L<hw53Ph7*m!;h5g_AtN
z4mtmFzRw)oa}p5z`E=)ZZLbg6PQ$JDNbpOzxYC_vpSrlBy6#R`!e^Na9Z@8DZq(f2
zTbACN1YdX`gmr-A2Nn6VO7rE4r_vVpE7_fH-ldbWXKzeVw@?h*Z(;Vl`>*N4k65pN
zcmFty3U2=8Vzh2dH7I2wk0b1uUT)6Cb?bG3ybA4jl8!y?s)F;flXZ=+W;2zjCJhvJ
zfiq*Xq@9Na7QrTp0j-gSSf!LkiT5xUM|>#Qr#navbT|U6+6M+q>KCaGz|EANTx(l;
z1|v(+iw9E`9~I58{MlUxD2!u(kc4}m>^O}Q^@;O2Mp2xX_#70e`i{ZBoGnRv1$Q)Q
z>9^hMiyS|2ZE7oxyPKcjCI3z5{ljZ}@0pyH&V?OV54~){eI9U5xbepNl67iaT-+YV
zqw6#ZMxgN`5h2HG;&jXu*ifY^jD6vKVHgd=;yri?EkNRx2NJndZGvJ!;)nNWr6)G6
z8OP{i=hR+S+A)M&xycV>bJ%Q)SqIVPoL%-}D09pMVJ)xr3sR#0f^|=f+Z18y_Kihz
z6a8|E+#W{xj%v<&Lz6v@uLLyvU32{e-Z+xvdS$j<_-?XqBsN=rIH$_UQrgyW^@h$>
zwF9GzK4GKZ(yJJ@ZoYOy=aUZgh5WV8i>W$K$$A;_H;SCH?)k|fu2xlXS_v05ck(s;
z){-{4WgIths>9a`(R?{axI_ph+WFsJA$&C^J}tRxXahy6amRWO;_Qir3W`{`SIj*4
zTYm=w&BXC2w!72P2uXRvD3^t~WTgwa{LT-axIOlc7Tvd_@?81fyFOo<G?>5OQMOhS
z+*SSIe0lUbCv3@2BT@Luzt>MiMFp=P`J>^=e5oD9NcA-<Jsvp`-_vS6(^?+Ju%pz@
z*xth2yux)I>Xq3gHoiN$sD2}~nY(7h(AJQu2zgx9LzS4#=l*Sz(XDwggYI_v)4pcB
zVCwqp(7cRQm-{*HJzJ1jE|0S4^!DxBPBJ57(6}SRux%SRVL@A|uFVgnoC%`sD1fV@
zj0yQp!6IB-ru4GMH5Eb)`y#ovFzb$>*Cipz1BcJxV|#=>);V|aaCqcdey_Um?8t#k
zei;K6uSXo4&_T?tbh$vkWw~s?>pHO4da-rx<uL-^jP%bxNiL|D#8CxRxqjrq78fhR
z*w(}{;|9ZTK)&mL%aDsgIirJm5P|jJ!MpQ!2y13vJ+Uys{ql$0r~s=NeQXCwh9uai
z_qEqr<1Dy{yp&7?_7W$Zcaw3{zenzEm#k^QK<@NOL7(E{(vx;)1$*{)WJ3-hQ%_|6
zRczhR71w#imyq6iJCze6_3Q19=FIT*#;VncUoKep`(-AzesYmLd8pOquE|beQ+|O<
ziTh(bA8lm&``QcOYhcZzLoqvvX`Vjv1|uil)Le>^0P*MsxglqPj6IpUt@x{Gr>M=x
zS8RqV?{l!u5Z5l1ny>_9H;^t!p&aeA9tOLcYj(SkVK)B8&zO8NsF7D*%@H$RUjHwE
zr^fgI>QO_{XXuliI|^SEDn?FC_?Kyn1~vb$T4C;q$1p2F?euatMal1`O0INt)aTT`
zM-u)ztj7)}vEeEmRZ*2|bf$lTqhWhxHlNFl0THU|gkq$HEpIpwYr^%0agGOQf{NhP
zap565B7TLHT;VGoQ32ZnQwQF1m{>;z>wGpCr<c9eUB<#<W#oc2&tF~lG6mNMi)d#b
zCPplm&&qt2txfIYZ)v~hE;XimQao3x@UkZV$D!N$J;4tcm^WeSkPCRJ{u2k(9oO<_
z49v_QYeTiuEL{C_PyH1-WBiclG^)xTe9y}(z?L}d$?)et%cXAIs88(m9lDmoCVpo)
zw>mf6g`_j5x1`R!#j-3f7F;3cg#Sa;d&hJ6w{O6ocBwQaMaT*v%4m@6nVn4uMHvy<
zNvVwNlB|YJ_Rh)(S&<QyhLDw!5mL|b*7tsX&(k0G{e6}4ab53mp2s?&c2A;?Ric`i
zTOeZ?$mlCZKe7uml^?|h?-jnajC3mw?b8212}Xq0cb^J4aUv~ff8cA{sI~~x(oL%C
z&Og<%xMI&gm(x0P=Ukip)IMG3>4fB^3XlJuHB2TdpltSgcz7ht?qFcx0hDte702*6
zS^2Z^XH@UzVX_zqI}%M1xmXAhJ7NGn4g7OHA5sSg%ImxB+6$K%u2su#;<WYH<a@iB
zQ%S&1En0EGZ<oyi2#X~QT@)r47)3>J`I|_6c?Fk;Jer+N|MES>7uw1l&z1h@Nz>|j
z!MC>Val~T3+Qm3|(TYci9Fj*%Q`6DW5q64d%a(9xu<HP%IB(nZSi%rUE?Z1YOv1fE
zO!{QT?YnBkdqvzMT4Ogg6mE~pwPz;U=WQCgunu0s5py|wN%f@?n%?V{j0fBQ<XM00
z;RQkGd6;U$hF}b5IMH3phI=m*V>s)+RNYa2PYTisy11dBpu!dOokIFCks->4{y%4D
zJ8RC3fNufv6GmzYU=XA&Z$lOPA`q~pC(DT5^T$f#gM3HbPAH9W9ORPeHMY}~d5*S*
zpFd%?e{_^)tH~+V_4GFa0|Q|lkOf(2>0(SYmdMJGyO=cQ7mSzi+3ggw&zf60yS4mH
z0ovaFm)Ys521|7ODuF(0I9{l3lA@k+`ryE)>t>bte(1xqFYn_F>JaO?9@`J&66yFP
zd(=n1HFB9m>`KbJf&1j}=<i$M;WL*YRmZQvgigcjU1cSOuegG&;;Op#$^WHW{N`a>
z$T?P3Or*K7v=bADE-1TeYKApNAJ<04`|F0Yo>+HvkU{g7m6avjON?KCT}tW}>R(Sm
z2(^MC5jd%p$mgh9ha40>)ODc<3VQ1svIQ+Pru@85^g3lSeuqmeU7`^$;3zpIid<$a
zePdja|4(<qDO1ea*Pqp&^hmakf`Z6ZZ(?E+Qo=cG8r#qMc%cV^Hq*S|C}qQ|&cA<U
z8I(AwVYC<*4yX2Yd|XFJ=eZ%(;E>;PE3@m+->;+X(c%65-2l(lhnlsapj~r{*><(H
zwKX9|NJM3IP0a_%A6OhCeNE7RK0<T^_L8=$occ<MFf25Al*(2=#z|-k1helyP~(p&
z6dAlOe<N{vR}DDEUonxg$aBa0s{`qvUQFfmZ;tHRCYyy~D$&<9KCGaiKr`JyH>w*2
zR&1J9Zr*o2WIt^F-zJz*_b!>T5BL50!}7FhU9vt#UG<2SvhSYN!uT=bJ0`)pVY40c
zenhZ<SF3FCsarEeQ$C}=31L$f?w8+Xo+3kmH&6)-{AQ)F7R1E%+l0i+7>_;<0zIJs
zws%IG1^t&|!Esa$99{eem-Lb{$FTH2yaB#f@mDR+?l1WA$iP$Bom|LE?3!7gz9n*M
zxm0XRG>9lMbuqp^WWZKF<UUril_{FzM_cH-pxI@Z<i@j!xw&wXy7|g~V3!m1`t@%@
zHv)^WvLtki9OEhG?h{W#cW!-J_~Hc#x3l_j80;BwOxYhNPm{8{AMP|4<}9<E)h~su
zdcsbTqMyPM?|b^*CzqE&`Frj+a>m<T*e+`e@|>KKK%sEf8_PPLfsdR_=iJi<O=PJO
z_sZocV>#nTVzG*Uz8gsk6h><7`(9akc1YAA(7-+D*d?!MU67k(%q^gjOL~lmb2@TR
zyt5n5IHh%UDW0@BWY7XRAfZh>j1F6lP*x7OgUV^Mp!n!5;l#Rr`(z&p6a$(WckvLi
zvr=P?fpjuFbijF#xZv}igzR&!q1yS`dljW(^_G1nf^eGmWX_`Wi_h?Gi4;~@cZd9p
za(fC`#mJh<-1y(|%^As;<CZfVCsp%Mc=G!~)uADN=K{C4`DrCOycrftB7W`E>wWg_
z3~8?{@YJQE<xS)GhGn2llqh;9;rlNR1T0S!OEEihR(j^9Tx@;n)0@#dh<LEruY-yC
z7sgIfbi5?|#mc7Ug*As|qINQdyU2T-CK4``l|p<}dVm$FTkRbj@{$Q%Poem4-LvP>
zS^jls%GNGh+M?RgblOcXoR{p`qux>?aiczuocF%sDdHQiU%!6EocPw_g5<$=lG!k~
zM|ZR(-~^Y`I|F(YahnpBgu0-7*0iK;;N9V(bzggcKJ4+t0gX<*xkuUB>~qOnHTDa;
zd&Sa_n3PCO6>-!)f!bBD3U+oD*rCX5Kadt2mtW~(OUVKiV1?Q+pBOX3#57x%AQxJ8
zX}7ergn{s82Du#$45tB#lUS<J%v%mRWhXI>$8DxV+od5=I0N%M)M5{7j_Y#$Qn143
zY`^XbGk=;eO{F`E^rHy>rrw*C8((dGe70qHga{~b0E+S9QLw9CcO~{@gj^iT{fJ~Y
zG91U@Y&;b+a>fdtEGJ|P1;6#arFsze1C!Nv^*qn8x_%ZLUJ=$gul-6R%Xfsno95{c
zo5Bhr!?tSE`i>;_dv4w6CGq(HSp26P-;jf-iGm)Tg=KaE6^q6Dd>-jEN}NSFuc3?O
z_H%YE<Dw(;$@hMSQq)-vNUgbbB&_f2jLj{K$5Fl0z$T5w9uIJyjO&VA(B4sqriqgX
z2LAVMKaY*^+_-T=g~tRFUTJSGJ9<uEUcOQ^p2-O%>oEC=tki0hr1>D=Rct*vG{o7g
z&?F1X?0se{;#G`|^tAUeRLy|yG2}tAiP){>j$>9EfRfUfhVt5$9=<J-ESqiqTB{aL
zN9Sv^&!%vhO)c!{729rnGbMlqEW=WqZE-8ebT-5d5FPjx2Z#RtOnwT~h*?um!VGyD
z9VRi28H$Abjfe0y0XBpUWD?mCs~*k2AMY~so{Kn7EBpq#Z|{Ol7nFw~M;>Q&{eES1
zAyW11-D2J+vuLm%o<~J{jH&S;(3W6Wy@$?o(C87YxZ+r%k5fU^<y<mi$=2=uM)P24
zNlS&Al@ZG0mtF@bPEC!jN>B<=9H-}DVzpMi+jEjh(AmjJ4#)Vi<Z8|V^b>@9z6gqc
zGhIfhxcor=W|pviY;4b7N*wEfYCe4#$(0fUum7$Tfyti_ysNy22hnz|S87~7>qMxG
zKmA&x{Ncj~b+ctUlaf3>k#{G1(ZrM4s?;Fku81!n7rN}*&FDzTwAALyV7Kdwn`7P`
z^}(ov-PtN~Cr1q4wvm60$>Dy}AottFdBxL=_Fg9#Z%GXc7OhJ^LHNl*;7<Tph#N3M
zNQq0y5r^A$y82@-EY0Ef_6RE6Nq^XnF-TKz)Q?CkQO@#VKZL>H)_`Rnbk<gO^!-77
zyJo&uhL`phC^uN8{KZ<5$7$&_xq@=&B~D_~>F=!xfmZ0BNqFlNak&FGRvst!s$6Om
z<`^kg-g|*Dsa$#2$YPTZ;tma08Xw_{PW>kAUgBs_$Y;nt8uGSam9tfw)4vOQr=^Jk
z4&8VFH^+`tD<SMLWWx^jI+zCtS&43sap!hnCMmTWc3{X=?Dpa_-A9Y*_Z*Hc<YO3Q
z75zKNF5^lKPW0WAG7fE3L&Y-D5&9@|<|*@-W?ihV<<4gI0CAdaC%_>6yJ2X>uAUiQ
zSb#lZvqdV<q~h-!QTn42P8JsA%KyAu;oDSj#L^O*vAKOf$IZ%TrW0vPE~SE_iqY4H
zkc=L7P`52t>@?=L5VJP;&bL6KNbv#pwLH8`$|Edb_IuraD#PG^kD!PKy}i98$!5r;
zmzVc1x5`7+Oj(H=%<@NTFOJO*U+9Q+vC&#eg++rhupVVG=HI-ta_Zo}mr{_6Ne3@x
z$ZC#bJH2f?em2kCrm7}snG(%2WtR<QJ{U9_p0yi0mo)vbME?w9xtZn3p&QTE{p*AY
zO-Bd4i)n-T4~fs1G8F-V8}7lDb|M1)TzHBZ@&z5%LHnm*gMpP8`5!`btz^$KxL46R
zBDm{8O)XBAbE@QbDmFxyF&x<2vU>;p(Kw@RcR1t9G40dG#|Q5L$O5sgisax0o}dwW
zq|QYjhnA9D5&7?=C)!?<1zeGp<lLXLRx^Bmcc^griDU_u^WW|tU1wUwnf~m3<ck+C
zh;oKYGwG}zBTm7#ODceTl}D;{lk9JhI0({ZCq&cw2LyC_FK88Rq`dQ^8u^8AAyaHQ
zM8w?V7~Ifz+avCq!LvLe#Iq$Y?&UYB4z)$QdNu%HU_G!y2irTP@ObK@zGH_Tj=hj@
zK6h{CoWuXg9WK`7VIupBnsEyn)*bJ94X;XhEG+s<)n+EK@%;BtNrX44Y0EB}v*%S@
zgYwlyW5)_Spde~5iEQ)CqfAnyj6C5oeV~4+!0P>(JKpbxQ6_{ue#{j4{@<hB1-{eo
zS|rtmqAPuCSN%Jj&D%)5uOSc~c;sM&2K`H1Z~YKdqJj0bGph^A9cdqG1*&WYb0dC_
zDlO^pzYszHN5*2$%FDxEN7sj~xCe1mub!<AC_W2lg-$oUx9Lic=6!Ab03;WX9F35?
z1WIS}*>@zU>+8UPdC#FG02gF%?4IqLHc{mJ$Hy~n9tV!Vh23_K_8`6R1Pf>6_7@C-
z;WnV}iWxi5yk~B~`*w!a+6+fIn0V_Kn-{S$<53*iL3Z?Sy^0+Bna+#HN?}j>uXOJ<
zu+^b9K74JeHEt~YTl;hI`6uVs)C0C^FKY|Q-L-YQ@Bt~BPOTkGH`?QNHO+o+mHhK(
z(Wbk|J~7!Hu$Ib?-coKDRkzvL*l3`$X8AQgFB&l#zNcj!<qkE~&>){-tyS=gC!B~~
zY-b%tJ12)l5z>B*fI1|H3YGC)9)yEjRlUpQu?&NWTUwwI@EY8zHL(!HEU9i5OFl4V
z_8MLy*-Zaxe%f^r8D#2_r0<%Pr%YU|)e$7vE6B0^gK~Ok)&A$rR*I>Mq-Bn~&|NAz
z<I){|fiZ}s>z=U<!_s)UfLpy9K}4IiHj>f@B~CEJ5DKtXnc-eb*wlf-oXiL+7P$m^
z-s$M3hkhYP?aiHm?2uT-ut|&(P4M_A_V>5F#wvLT{UG7|POxkNo8A-TfEmRESx8bs
zMRlO9JGMz`DO!VB5lzK~iWL+&X%Hq|FByoIl_Xs7x?@<%DG(?eVE41d*tO0@;B$K(
z?(-)#eOuIj9RXd@LfpX<ws<l5(dB%G96v(%4Y}p(KSWe_$9McIW8~VUQvjjMAs^2a
z_wRNF1}i;dk_n9y;Jb7}%1Mf?DR!|!$KWc@XY0I`e(37DDD^O(3SpK8Vu7YBoO}xB
zDNSr%E9wnu2vW#cH5zrU?F{lvs%vXyVN0&wmh7&vhzY0^O0$e1w_4Z5c9Z^hHJedf
zDE~vdMS|<!^C~o!=NI%rc$9l^WcSZ0H2kb&5_#Nn;_kS;X);6cxF34SIz0AG7K${-
ze$LDYg79<y`{z={-ep+m_w|Uwg$>_&wfgg%*O|@5ue%-Scg$<vq-Mj0fV&}3k{$lx
z7&mYj5mn-`vBbN^=?)4`ha|6{BqvjcBHHfc&~#}%$syux=(irW-B~D@nD`=TSkV>H
z@^OV61J|2ADCj%%<>c<7q?HO_JjqMUCfJw5b7gPds50z(S}ESXsEH&1R>Tg$YO;-!
z3@(D4_|91z8?{f;%>ofYiE=kFP!Pr^<?+K@Tnaz{uXX2JMf&gNm!R6o6h)fs<_5OB
zYvifPZTKI0l<h!w#eTlLlE=Jofk_i%B3Uk}eAs^BLFX!ouOJgXt+QQ?Rw<0An2e&d
zdHzJ7aL$gojO)-dH`VD+lt7_QA@yo`3-P;8y|}TTLce(|EiKi6pTF#Y5Qc7Kyo#(6
z78a&Mwmo&9?Gek^_OfJm(zsJDOd}gkR7*#a=7Of5KLp$@njiVdA9%Va9gS1m@(C~M
zlmnGtYQ23#sDh#2y?}uHA_g=i$+|fSA~{eZ(X|Dj*+v0U6_g+3sOx3f(FO6#ky3YX
z&&i@u<lp)_F?%)iq>E<oS~k0fLPDUNS;}pWsZ5;XTBAY+h!_|&a&C+FEm4USQl@pf
zGZups6^0TM^BeD>2P9^G2c7klxLq{UPtsX7(Tk{(k+_Cc;!UOc*kGg+zpiyM^?k?E
z@Ri}o)hLBO7wY9-<^+HDw)V*^@yED}y2JMnMZ7DXZ=X&r!wtE-S{vnj48*1eyd>@T
z4p?}rYV1EEpx0~UB(=6{bC~cRnrjbh+-5_JR+4uBnU(U?FPHe)9~76$PdJT;TDSOO
zwl0yIL33gU2`NdFvDhJr)o?cbRbI;LZu_5RUFB^3z4m1xeV=O8HJVwEGF6)(nMECQ
zP*_FJxI2!v#ru)zS|;3r@@WY4{JM!~2P`0x!%z!f7ByyX^7EiRHXqh`jtu5(yM6`3
zsMhT}r<#wC%Ymq8MWvNo>PNnYvO~GYQSGV8pS+^z4-qHgmA&1*u5TA4qZq)Xb1i&n
z^e)C3_SBDO&lBuXa*X}QH&pE5yQV##cZqF&qUBlkz%MI}wZn5wgKQ%E6?$#XOv&%w
zKl%){>(~B%wvD?E27w)~dLM{cr#Ro_QI0#*t+{N>m*)EwU0Ec#Vl;05ghgNAEKH-w
zZecYRs}(s(iX^5n(xHhptIh=CfPEH7+mukrt(Ei+TmKvJsROEv=;go{ewIsG3sAxH
zNQT|ZgV`75l#_KTey`EoQD7K$&VI}5XK&=L>`K|)?CKX77l{LJW-;lL;*y8wvz<d@
zAo79J)K8bSd-FS-;yrQV19}6zkrJ5X<^H7gw#fy^*IvIioKX+O75Z~N^ad(ZeJF=`
zPzIW$5-I`Ofok2PLjf>69cz~nUq0gQqOfLE@xGC?pPihe=zrzJ#VL}@n`o$gtoB^?
zM1>$)bJZ7_PK8HbO_iW^kiU90w`q(3FetroFJY)_kfWQsJK;!g=PnZq6**3Y#dS&4
zG;u_tw7D}E&{+cw2V0Nlgchp`P$WWlKnQH{`c3jr1<R%(coLi}HU){gI?^HJnYvGq
zh$pV95};NY>Nh;JpG5ZzP_O|N)l61WX_B5CZ2kAqjK6=bf-k7pCi3c_DfthXA^~SS
zsXuMW+0LO|2lHcIa2T@x2+6tTRZS-)^Oqa#OW3sBlF{(oDtd3OcA!Z57TwwLyi#Tf
zBvJs5ssncTDS~7;bg(v++c{*k=e4gZCxgXjpU)B#6C;41&$jlJ`|;gC;Aq@fxdzlY
zTL?7CiPnhjD};uw0o9(m)u-jJ7>FoY3SqXF%`v|k9-!42TM)Gq(uWZAPIOqo2H(*(
zH(R2HClkgbdvMl<mo+bggPx^@#V0t7^Eg>bQx-wKP#G`T4ypP02SB6Cng;Nr4T`C^
z%^!awf&+Scb(Ad}d^c9Kk4%G;lmj8Gw6_I~PCZJxnWM|>=^=F@J_a~LGQHnkV$wa~
zG$Br+4Y9^;SaJ39E^DEao0Qu;;R<DUDL-~m1ogQu`p=lWzxZ+F_TYG*Pf^z8jBL@C
zNf%>N;~(%oY2dz<>m&QvgYlm5Q1f{E#F6m2k26P;zlO6Jl9PUU88fh;?$JQpI48LJ
zu;mt}7%CD>5<dkqQW{?~ju@sfGB6hB^+|HMYaEAQi9n}5iHR3N_I=8`q|Gq#WEZ8|
z1eo1a&!r3k3t3r`zKufBN79e}og2j7zb;jO*C9h7x+D=E3cRk`jNzVTet~K1#opcN
z8+G?Qxpq$?q_v9w!2nit)4-)#qR=C(Pt^TlYB6N7NcIrH7RER>1?4aQ`*PIbgE66j
zdJneSsA$ub&phS4SupjTXT!a_4_c$S?j}ZZ^93=GK%cdnb~7C|Z+!DI%UlPxA*e9O
zEVi*T>xD|ECMJT2(-X5c%%H$ZnBIoL#v}lc_i3upVe)Mb`JyKwgbt)!4D%3OenZLP
zNM}HE7Lqw5l3!q?LJs=43jzE)=IPL{$MNma<rbMq+o;gu;$hk61uV%ktN0A}0XDn&
zI{l4X8cH9pe|uY)Tmq<tjncKHjBGRwRH76E+Xp)skDm$hcni;@=T>>X-`QsE<+QQ2
zUy?L0){@Hr#=m2YRR_6l{ZHiqz4O|?<S1)fkAj#8mB^6n1V?01_2WWY$T_Qy(W0uu
zozJ;(^yC$N0?ej?AK-$<KXmq;0>h5f^L+$W!|%@IZEtXsbcmL*Lbwaj;mCu;0PCh1
zjAMC7n(S(n0%kx>w(p}kZ+~1Y#=7m9%c(1?Ay^9gcm6~B^Xu2IyE#2M7XkrOLBb0i
zIX8fYBmdL_ln_P3pB_0^HcZaihQ<m-37S#<9(C8g-6VS8eDN8(hfG=*o~-0(r@sSq
z`%(U^=5yNhn>XJl^pAmofzlBAz)4s19Bhy{5zTo-n=CjAl9)}hVTk?*QUUz3HR4J-
zkC!@y^S&OUwz0NEDpoaz@b<iGGxv*#^FuD9tz9esmhT)p$FHhwet(Zy+T!jI*VC?n
zT8iF4<Bk)3(Vx2ZvR5{x2RLljyxzj_+Al+U;o$1f+AhU}ndc9zy(BcDA$M;dUn7Ee
z$n5&Zr*4u{hsbI)0+o>>$AXBF2f*iiBK02~GsO4&oC_tVxxL)oY}Yw!!%?<mziS{W
zmw&_div&;w+SrrJy`iIa?#0#%&HXv6y$=Ak_r3P~RaKQF3CU1+snRhAMaO2FWeHYP
zcj;r>i1P6iaG-PGm+fyCAfcL{KYv|plJiYKHoGpwH?JULzB47FVbvGHTNv>1^=-2^
zM+kdb%ioU(Hb5B(HcksS1{<k4A)^;PnTVh0^qhLq<U5p=QJ6-<Yf#8U4oLtA?qZtJ
zv|58Y4Pl%t=waX5_iA9Yclgz<(_qf}k$rDBJF4ppNep$H3z!@aWyI()5oH$?Wg|<N
zX_8Gw0U(DoBxMoD>e>8L4t{qF5>wquhr>9>#z8^cyuc8ILeBA_JzKK`L&5a;Cu3R*
zEpLscOq)+)8#ZnX1)|75_{r0miQx6MDr6+z_wN_^A03nZg?Y|HeMhy#yS9y7CJ$5Y
zg`1n(vhn~cyn)cR8C4IJ83v(0)B+00Z0tUBp9H5&i;=H(eKx$jot}RvTlT)-GsPVg
zyV$&%!;j~}xO|t-3p1qx1@#k&fpM}!YzJ<6ZjBQJU)hF}u)D-Lr?-)KXp3-){@?>p
zo-j*p-}m$L^JMbp%mopB;_9e;2JgCDTVJYnMmp_6>Pkw!DzgKz6d_@vr+xXNp>T5U
zp*_A@Dr={#-1q##0&b!?2Dh!THdbQ!+&o(X$%nj7*x0!}M%KJ-i3zbHD;=I|H!U8P
zz)>9S()$?-PokzKFu_$9XJ@*$U6j7D?i^W^L@dw;hf|ly4bw-HkZ7d2q?D^<v>$Cj
zMe-WgttqN4d8#MsE9fDx4MW!~558pP!?heZixi<GVFIHR_{Rku--Wf6NuQKyQjY=b
zxcs4TvfiC*eFBm)UH)p-g+>qo6*lTN*F6}+ta1ATPLD)~xw%mPeb!U;+2^<aoHnzO
zq%T=eB_@j<u3Gmm_wL(N&XBydoOs(IwEqT?Uc&SfuV0#~a_A$gt8R96ok6%mFiNJ^
zcNjgA0yP>Bk@+rAFaMBa$RTggGZ+&_4*);xI>k)RyoS#)V(xk*D36T(Ei)hd`qd<S
zS^DnEw4Bv2^yp5cpWBQ&9cN^h_Me=AFsTUsn`3`p&~M%U-whg`&@vb@ec<^z@2y+C
za#0yWF&q4?Ia;4MQGNXVk37$Sldc}3$!X~<Eb_=sawGV2?$(2Pfw--jte{@uu4iUW
zF{U{<hhnwoLxx_E)PG{FJl0(+w=W9Kh`6q~#+u8Bzlt^UVGDJ*^J4lQ0e{1kT|uM0
z1GM5QzC^8RN1yDwrW1CJsQY`Wu;KQ$!SPxYhvEgbUWE=9y#x)lUb%;RcC2gvYnu5l
zcNnjJuEbqn2Hg&d@qw!|+mmgBFkVC(d{;!;AaOiAX3HZ64i|q-ox82=9#EMO&1KS}
zf`X^KI+-F!+q^{d=ET;5F(sO`dP3ZfWtPVBIcCUNdccZ%Aav7@^r_yjED32jV$R&E
z3rg>~LtVA+e<)jhp(m7Tc%(Zg5gK%z>t%vfSY@WD6WTDY1oQfCLjM&C`n#SG{x+pE
z571P<3lnQUW=a#5<U8BL(nvfap7v@lM<BllB|^aKn>TM3ENwv$%g1mkc5*4RA~z~w
zjuijzR&8^_|H;j1W<9X}v&PKw(?9P_nZ*95{rBeYm^Qw$-yV7zc_KK!Kg;Mzh_7$E
zDPZ=x4pUo53KDb^$n^U!xb`6^<2W<R8_6!Qnj3Fx-B`p|d|$aZEV`32nhZ4YD}0Rh
z$4PQE_+|F_Nz~uljg5^X7exUx6I14Y!ir2S6K19qor@oq_im7*()%mA5-e7H>_3JE
z_AhJjZJ{`>8u+F4T(2W&q}<{@*E?&?ZA~jytyOi}W-AWyQV=ZEaR)$AFuejpl|Fbi
zb>3^}2AAA>7`Y8cg^N}&Ur8QJb=1@e3AX24w|NgM7|J)y`%)%C)eyY0X5G35q${Ty
zlU5f96dowcMI-it-@T>TV&&&<Z=CarpKC9*8#{Fu5`klA;)$&k)OL67xnh@@6eIiB
z#hmAp&bO1u1XLk42cbr4KNnGAj%Q72eB_#uz5$_0vLt+>;8ZVEQ)J#Yc-y8Zf-=W#
zv<_Jdq>ina(lt7W_JPSgX*gVK7j-fxq03}5P738^oXj@}(kNKj|6;bEH8gyzMvp=8
zz_J~Ntzwd6blX<1X(_gD(5*T|4vf=4;CU=sM8k<ckYtg(@hexDFYKg*0VHf7qjZq$
zC1)Fw3s9TXp+?UAG>AIozPYyIs*#Zq8SEsQTz>|y?E(HeN0G4>(^;I1LURyo7?7&2
zX^i}2l(XCebOa?7U--$yDlsrxYAL55ow_q9D&j=Vw#$gv4)UV4Ojjh9OWkCzznHKg
z8220}mjb#NDEK|E^g0hR%p=xhGea95nH+#yGosK<*5Hs&)l8Cwz<<+5g=}KFZ$~lS
zlA~$=$qEVPoEl!Iwv!x<rJg_N2nB3Ei@%u0`aY{N<2xASQ<_r8ZBMOWE0z0Y%-D4|
zS82kJ`}L)%3K$@AyI{*m`$7u<LNcv+ribG&U_#ktlnSb6T<eo|?~<SZayfy7MhBu{
z<Ltv_eTtz(1V(id)`1ermKt<3nN&;!!X#FS#B@M*NpyR`!NCc;zMrvQXm@5uP4f@~
z{0;zF3q#b~P{#0{l5T)@-;kajN_bfu(g&a(;V)fo36muyF7vopnzw4=k;awU`oT2Q
zKXO0OwEoFR!ff7Tqv4Q{MS=g&8C~Cji3ii{&sUQZce?KVdwrES<R{)^u6ev82Xv>X
zGyXRK4c=M;0zV@PM+u3q*Tsmi4k9SNnjLG1e~~tWtCO84B`6+Vs9~%2BsBro*~^?L
zXnhw}d&Xgw+HL08jVNBzX#a4`*c)R}UCmmhPx~c9zu+{HT@a71^1p>Z76UjOBA<UF
z_ufyn@P!x$cCO>y6=!M+h%#ADAI&KZcK?+#mirRaq<3raJ44qA?Bnbvt(|q>A#($X
zJk<K^j+3*qJS018&tcy#Lk3Xe1pW+9P!6J4hb!!^EgRHV=%g^+r#hha^M|CQ<g(@m
z7s%?t2e0C(^kIF}X<6rvi9KW4E%;C<l2wHw+7cgaif|X-=Pk3R_fK?%Einr#jcRGV
z{^rnYPn~><Mol~RXNQYtIVPrriS0w1$$Eelv`)hG7p3;yQ1!}_0du7>Rhv>C{w1+8
zI4(jfy&3v`vwP+;i-_oC1R7$TA@yVRQ_Qmoos%i$HiXP6Dk>WCtOSWRGC@uA+Iq|I
zyE)u7B%yqy47ago?g8an%g~a{)K&ZY8Sle_v*!is3oe~j)Kscm6LZgY(&O&c=t4!0
z@2W<az0Eds4>&P-=Sn<A2sONKRFVrUDstoDld12@9$kD_>Uz!aEF*<p7x{@eo{qls
zjv~z~1cY%(nG(R_9ImWU6p=I8v5_b6D3Vr5=Z|&HhIwgnj^z+V4j<No?rLUGNIz-K
zkKs}x*p+uFSvc5}c}^0a`ugP`*YM}WqZRp&0%J;sM?vSrKTXzW81))^?Q4Sak7;u<
z6}gvIZ%gtTk)at*(n@_G!tL-J1@9#MC6C2#9HHBerVu@U2vHQY)+SLl&`h`Dv?hY)
zn48af_ga4_WF`j?2}?s`5YxE9Us3c-Q$}xrO>7vKmO>kq;JCrq9PaoX?gj*-0T17n
zq{gzeIRERH99USm{q>-$PujSOL&#V@FXNT=8i5GiMt)SD#2+o%l7m)V9eE<FB_rEM
z@_=TDCfXzXW9oY=OR7~$*KZ^s-v_ENyuShKXh?bfcZ8Wtxuw9_R~|)-m)%~DuVW5w
zyS^Ys*OlX|$@{QoVm7#tC@UWa0VdWFjmeT$RShC_G)6NguUa^}m*(>#kdFok^A3_p
zsAeKIAB*ExSzkwLs(a&VijUfjR3x}Z|DG%Vdmn<@k@t<iT&E7+x=F-|;H6~l_}`;D
zEJNay!^N~zfA6&^VMf!^Y1}b+2p=%$!B)b3QWE2M*Iz>!xxGlB{{6-+kpezV`$hKa
z8AV@{GqTZ9GD<hrG*B}55VVJ0kQC@5et5XUYb=Jp>PW1ayhj3eBSfw|y*k`3k7TxU
zdM9zn(?sng*4tU6w<$s`6Z+8zn3_i~2JZAJA5^+%@~rse?D_WUYc#{TpgT+N?xr*n
zb7`cc#Lm2}Ml?5og~_+|X}zTA<9BGbKlP<z%@zMw$vp#G<#TEoh2uDMzKaOs0c~IF
z8Z=e?xc}>VB03_o@8X^#g=olYyx9_O`q=u4^++%4L^d=1%}0`lfnG~7J{wq*vOf)r
z#eLWj$hfGso)vh9wiQeeegz{6l>J@6BbIkiW-k@y3XJ#T<P8G3uV4BJvH~KjBw^Zx
z#l>O{#<+lHPO#;b!uUuAArQR&)}1>X?>g~vuU=<#o4E0${ALdyO>;Z^Zc80+-~Nnf
zQOi&P4m_RUJ5Hv@5U!B@*!5hv2ab)hD(<r1sGlhFL>Vt9ugt~#`gJ-H`|=NNJI#N2
zuD&f>5A~<1Qo(EW7Z)AZo}lTBPHCAP{(WcR@}*pWP9(L5aK0p`)oHO=1{3Js$<y>3
z<3{9kPkJonke0SmP%CH?28e^%Z$l)XXgTlfJk?4d7~*yTHtm9Oq<SO)B0wV@=}L$+
z6#vzawx-RV86U|rcfSQq4Ec|%DSA)Rvd`KobB4EcO_#m8e2fqE$HA9h)IxemJ$UF2
z3lr1o<^&*l|L4+7s?kT>U@+>6oUI!?tKe2tE6JpunZew9#a5|mtdRx?hGTLQ*@g6k
zU<eehu`7?aq4^rOYlW<g%$|i8E5$E^Ab$Jhip;^^BJK-ULl`qw20;dECU@W?PEIT9
ze|Q-_AcYbp`y^Q4QVWgb+Gjv&UDDH7-sM_^GLI!m3}Mghyg;*O58Sg#{FkXOK-Wqt
z4E|+(AT@QqOF31Zs<&O=+FPt~(C`rOk~q~mY6;Usf{W!hV%S-lAB%3^$Ot#7-|Ttu
z#nthZ!R<OW?=qQN-*9SChF{a1|HFO(UW;-MT3&-U-uCdvJdE=Uy5*rV^N0r}{JJWg
zXO(d>0rVDqMkwV((kr`5p`l|A?Oc0D<`t<+>P{w(KWr1*PA2)13(w-lZOiB|JsTGY
zSB<DvC7n-G5u2BS+SGJ-&ll2(koZC5R0KJafqrP;ez7uD_Y~{8TA@<3(zx*x=Xxk<
zj-RVIh+1Oo0FmbV_$pi%?8PGs5?hu;P!hw1bHZb)JJZ$0-qxB_B_D6InzAms`f0%{
zH21Zdm&E$@H*)^x`BeFEB=nJHj>nSAJfKZZ$1N4i$r9@~c;C2+sEBT>HR#f7qO&;o
z^>iZN?Vc0!gNU>NUg3vcpVm`CWJ>2WGmJh4eNq1+S3gt$K==0a@k^Zt*{|Sn{P*in
zwZCCF+kp?WPq$d}w$y)ik*?lGbWRYAAaw%WX*lL7-pzT07(rs)3d)DhW~xzQfiijl
zkcvxA0^()J2riCPWg5>XzO0bLw+){!`?GL~fD0nWXfmI8g>3)&_3M5Z3EQM2L!RLx
z%Z9sn^`JFZO8FMCU*eaa7~RBx1Eo7rNnMc3srch!UPm0Z9q!r)CE+G6!?=_9ys}|@
z_G=?rKN%|wWbgZJ?pOEydVkaW9kc${$b{U$YNDP*F?FfO`7yj??(|u}V3yxvC`f|g
z^GVeK8ke^*Fg&lKPgIV4wXm6@k`(j-IOvI^HeqiTy5Buvo_&X{+7k{YXdZz$GY+}c
zD+lk14Ukhf{bgJwDPkzH|K`gw?T@ie7syuDoiFVF`PFi2P2bOJH{(aDKW5LT_3=^U
zFP&mueXF9ID6{~K0jpq#-R4`}wo;~H+>^vYDj(0=2JUOIzU4ts0M1l-sGvecgHZRp
z0NEwh@xaXM$%1a_c-chd#wmQ92E;RPqdwdvEL^~`V;|4Kz`q!*$%4}8%bGQ3ACWMi
z#Kc6%-)p9YZP?wnoxx&c!|f(Chgn!hi7?^6R$=+g+gb-!?KkWE!41`RnYx(a!MEFh
zi?l)~5Jl_Y-mQxXdvfND56|g5X+p3r0cFnn(;saccIVPD!OhHRDU97ss#J!!;H`pP
zwr~J_tpj%S%x_NbCpgsjU!u<;J|-g%^-HhgM+4T@y)*A420Dsnd?&LL0gd>!B3qvs
z+J{`1>tLE2V^4mXAczOO{Aos&h|U({*MoC{|GdFp6a!vYE_EqcF#2$-KK3L?8)Mf)
z={4Ne-Pzu6Hr&L1(4}p2xOR;;=Qkb}aal4<udFCaKD*VygB8=tj708kKc36tc=4{N
z5V^*aTehXJ*P;We{`BdS^->I=LsA`NOimP$yF0*tIa`LQb3?z8;BO>bq=fK1a}G5R
ztC%=ICp7rj|C0;z$7re3&mV7HDdG9ol@B0U%+>K;L%wf<Z^3MtBI?6#Y)`2D3X$8O
zo7jGpB~=~|QFNDy#GF8{bBw-Jrs{sD30uh_6$s56l*r2rJH&%0H&FR3>8kMTM4rhR
z-|HtSPP=Hf5+8)*T1((t@*ZgmAG)zcBp0F~wqXAMl>I=HnWUOJ^6p1A*bBrNsa;u(
z-PvKU<&S$}jXU0|a;%skx}HrIm%hJwa%R;kN?bF2B`ys8(!Z#OXl-o9cNQ1}3mO7#
z*s+LVC)W%$Th%cCRppFdIiL^?%*Ndq*~5sw(-g=0%SFxdl)quSVR$AeQ)AppIRW$B
zvb8czG^iuw#<NXr!#PV+<!35it;^xGbZDaGK3xY&kGw_jbm4HdR}5cpWFfRow)Mwj
z5*(XIgUldf(QsunCux5vg1?fbq@*4qo}_jTU(|p*GlptqR%TkTmVUB&{I{E1#Daho
zA@xm`@EylQw4>+v?fn7*PS><zA<2;Zg0cs*V22+XZK>an(BrNZYNzI~X|fb!@tVc$
z_*apzm%CNvwnDmx;u6A|MlKD%OH%AB|6_l;*XXL07t3YiyWbnhcBV`w`v@TfLcpOd
z;pwi|ILNe6&sR54m^xrV-~aMGR0g3RJ8=QT++wPs{;g_!sXgfltsCmZlf6Glj6Mm~
z!%ce9xx{-R0t?JM)u?nqV_cNe0U6U9sHsm+^&NK@W`#UYXbu&((NX8Axc}d-JxzA)
ztMmr!+I$nS`dGG`5XPFet|w4InVa*KGbAn&usgsu2%zE-D|kECd%8hge9P>Ufg}1F
zX*&F1{{5QV2^Dds>IM>Hi6G|dT{v>DPHJB=avc+#oXNA=tc-))6ke?}<JwE9CQ1PZ
zfVdOQbLyN8Xs>iK_C83jMD(MnK_HiUh7<MMg<t1B(#>1FJsNOd{S*o}2k4d>EgzsP
zehtIKf$!E^Y0i)YG}5YK-@YiB>D0gNJ-kv*pBU~SH@ru?^{GdGTC&#Q%em3+XI<kS
zNZui36sI=g!eUL#gMhEeU2hl6Cngypk27R-#e|^nKbxKfTqlQ`tmHCK8RY2}ak#GW
z&z~u{8WI9qigy&m*M1YVV`E}9EZsFrMa9gtI+I8;iG8s&sY$7|wUv;di0b1B6<!gS
z0y7euldCrsO~}X25H`iMUSR+ZlM@q}F6CSyCjsjw`u6Ly%kL9&(}8Cod~|7r=eL6&
z_)Sd07W@m)`>>uA1Df0hUmt%Z#zJhe_`kZz^Jhfa&+HS_e%VC~U0?;7XMFEIYxKd~
zZ@9xc0IVPgs79B>D`c*mfsSxE^yn#Z10vgj59Mp}81}%0$4Waf>IBzmw##2!mCtXx
zvdWU78o)KqjK_+)=8HVVRaghb;P#Rh@FlphP2^7c-1`ZU-g1ss5*ao$QwEB(4%GB$
zF}YilYZ^Xky}Fvp+SKq(=y_mPB;WVUtr9e2Ef6;mW{fzsVB0&*qmwBPjR%yD5m1(@
z1FkU{zLenmmrTYa9Sf?X&ku<bjv<`^4&kXKNVlF!HfmkO%kxyzWMI__e1=DK+n`+0
z7oF8|3x+XXK7aP%L)h-TwcLaID48y%8y=m{l;$jb)1q`?e6@VI&kNJ{Mbmi~D@K=3
z+zSmrWTCQ=MDuO7U<-+v2F@oIsJBawQ0UoNSz)S1&QGgpK_04Z4!>VKp?f;I&^IW6
zc8Hz-O`<Ho9_%p4e9V4&m1hKy@^f;>Q6edyS#JPw@1~(^fWYh^7y3^W!o-}iRT{Q4
zQXKKw4fGI=C?yUS@%^UD`*B9SrbPWv>d~LZp^{CaYSP92j|W=O)%)cTToPz-dr&?^
z)9Jz$k1!AY)y55KdmD4$Sa5IVW48QZ45!)VkyL#DGvgowq9tQ&3@|adW07zK7;nuV
z7Yn?eSSr+W8IzUQRItiKtKcKp?%J2mJ9WNxs*O~W3lGaivfYZl-jb@VHoms%XIE5;
zZNmlkwfQyBVmjP40TyB5F0#WRO%UlfgoI7b=mvx`ee?*WS@QW8U!GaL9?Y$&M?V{E
zxrl$hO&G|KGdv1rxXu<H)*5xD8>V(up}%==z0CLfFtb*RLrQLk(uU;iAO>FrC&&I5
zj$<K+dt)J?GoB2|eqHXCyFz?QQ{^6P`jId@BXUsTcJooD&;nzn%!gO?%+9E;U%@Qi
zR#aT9fOQ>*3v<Esa5UgN_R~>G8!cCOmVQKhpM2&WX<)jcAK?<v{)QHKVX-i_0jo3e
zn<Jv>AATN#VN+pNY=yYpPF@2M>GA7Vl1KKUX_cGm!)?WlU2)`_i=W=sWtEEOw)UfC
zJo@={1O>p3YxTRU`O**iMMxH6c|C|o9Y^R}Z*`J%L9iRx$c)HKr^ua87%e=AXeOb8
zzNx6Xh8bU977-9jm}>{lpQIt~+qds)8m@AV*4F&Li>jJg+bIFk&qwkSAih&a4sX>0
zmaSGvk?$^&3z1pf%DPJ=-h+{at<%UPL&MUw(=8PO+!tg3uP2MG{gq&wp0N8d9ZO0h
z=V4r*`VuS4CUERku2|3^hX6SmX{}mC^P;OmAxg1g(et!x>tRtAD+kKQ!|z8WOD|&k
zm_YowVib`FU|(uBu2&;;IV|U=xqe`Lv+XVt#E)B)Oa~b29K?}5EqI;ASEi5+Kdky*
zX6ChIEIRM6#9bS3YU&a(85u8%vu~vSErd4VkgSjZ^LyV3Cz$-$Ja{zQR!-SjOod%z
z(Pv)Ubo$eU{v|e9HUu!VZG3hU9nK1Mk8^1_2a4a^k05stU?7((0+e?eqfgx*)ZYcE
ze%kSP7VY;}Ms*|T9U!$(wmUu?byfmwaMY;#O3!bq<Ax;o*Yu6%ZWlZF7;A$(AVlI_
zZWegRTk^D5-{|P^ds3ERH36gM|16G^EH1mB1Ii4l$<55KdfTsjhlJ1!NLcY!8E{iq
z&)((I!-B;lahtnYWi}f_?pe$h=QMp2rLCXT*R^@C(C)SekA#yd`J?YYYAJLa(}Tfr
zkd8$2$mvu3Apn#~ofEX`X-9drqS}Y1O>nsM{Q-n%hhbNDTe)q&q!Jygwb*wzhK99&
zc-XRl3@fzV$=f2z!B}vRO>%e_|MS56wbu2}Unn|-@xP3bJ2pe7O>^!!1nU-62>~l`
z;#T%hZo+b}=7Cwq&R@J~s~cxtlCi-MtVEJZ=?Z{Br*nnFgXpf9I!N-F2qRP%^9cBy
zo(xDCy2O_vmYK5G4Th2b)X!FOMC1kHjb$<)4R>5&6P6zXwL0iIG98s9xb#+@%afLt
z9;);r!?&?~>v5)RUiyfqb(V2H$26#WRf=M&owL&TrH(B9Hv88`MYBv&c->y)bzjza
zEWSeY6rXXKTLQHirt0DTmc@jQ**Mjcl!rX5tgOAJQpU!gObZBJp6HQZ5(tV(Yu!qY
z`;R<>K$|;Rb=#fZP6<(<*{`}${IUbQnqcY`LKuw^k;7?Fn8_T=L3>c=?0;^)!D*O3
z6;bNUn3y?S-s>tBd(7sdmBzuqjhi=j++a@mK8SWcyr-Nf>M5V;*sWf$J_+U*3Jh(q
z-_O^@J-oHg9Tgd#NdT_p=la^n6R6g`$8fwe$PxOEt4RkawNE=IPyxIfULwn|qy>H-
zy;2qLZO4f`i%sup{rAt$K!vd$v#D==Rl7fniG~g6jN^MEhmd`m9$(%8|MkZ>_*O5U
zaMw19uvhhBd5XZc&K8HH3Ljt&4~3+l#REBvlCIzEkSF9lL^cb8*lKuBDf9tvGv63e
z0u)PSIi|(lqLI<;X2j3(LDTRPu(t>o|2<u3--*dk;9TWu_a?$lW(p^+-#~N;2n*vV
zBwVkwRWBR{IJ2HroeIfzdN=hD?buzYV@OQM#3w}fPzD-4|KK`#^#I?vFn2QTibq4!
zW8y<6t`v-xZ2enVoU;}%_{!aqG>zk*%FB&B%>wruAlBqTU7g%pP##*jd`~v`)aSv1
z=Twkv?}pasw4**!u-vu_m~aXtRo-4vad~)2#d|N^IUGOrdaMY8;FDa?VrCxRvjyLs
zLaFCRGiO*K!Shc3qEW2$=;xq!gA-qy7c~YMP9n+H;$yL3Z8G`7&yRnszFlA9uD#h}
z#M{m}PLA3}-YVr+H4fs<7ToApZyTOGO+5UpAiWO9k<n*}mX=1Qo97jxaK>4DW;{bZ
z-uFvY^t;7jSdeOhlN_2liP5!Xjz0tx9c+61P5vtCvx?DtyqZZth9t?gqIFZczLc2j
zr1RUJPY(Rzw;PW!1y<?Yxo9)|(;BM&I5fhfcv4qJ$AF>X)_RQ1QVg}pTLUo{prQR|
zsAX9rxG(4x#fKFyetdxYrz{;mPtYDz&g^6!u-k0+1)tk(dpY4*y>lxmGYBPWcf1O|
zrXpEF0=zmWLhdJb&7^G5CEkP9J5DntsQ<+B?&|owmzD6lbJNRf`qo*&m(X}oECLsl
zy5M?`c$1T2+8p%z>D&5A1W2k_MrMs%UvoL?C;_7@em!j+ewUAxq(W0IP?dGQmLy9N
zKwbmBbwChKHy<}|WS0fHFE$?j#`Qdy#Zb{Yh#V)aF<Qd2H0g~U%dSZT0_wpD5&5mQ
z9CPhLAk&OobpJK+<Tp%oLIuk(l<huZe86@!ZkbekT~hXLd*ocA2QpXkNQQR7W_)6b
z?ZF-SMqv|4yCdJL$p%Y~(9p<oeos%2*z*J;VVCB|ht+GRNeltARWd(4x>07U6^A_1
zvjuSvtLG+7j>BhcQz~MI@(tL9WLxDgjF0XK6Wg(uQBd~nHn8EZhur~v=IAqX;k(Ip
ze*C0TW~F`FKuIsaX<}G%NZ37g^=jFNZ&z&B0-9br(4IDv028PHKvI<M`!jBxLXpV^
z{w9z5(vb$JS<HZk3?($L@Jxgo=1cwD13ecUS0)e9ai*xp$|DCqRdS=&=h9LlSpx3B
z2_f<4-9%aI*te6J6!&e$=lK@2jE!B#@^%_NRHx;GlxU`X<=KW^$2YM)k$&}{tiwAM
z=#`wQY21@?Zv4&BM8~XAfX16SBe*@jTwsy@yO`ltFq`XEIQ{UJw9IicQe=4^ZJ)Hj
z#wVIvqN5!?^r^&IgI(z%6QBY?gk3cA;FwZbN^7oV6An6$jk00ad``&)c5R7qXoPuJ
zc!o{Q%wRU}>)isL;GmVJ&TC!q28_M8Z5)WsfwF(*=MV^T>VWKDbm)zdmazYAa<X>+
zkEoL~ODGk-LHX2AvwY94v+Gk!f_DRDlivLn?i#yC$N5A!_wV0N(1qJgi6p*TB$Y7b
zfbce1q(bfxB5Y$sxXLt?WIClPYi<=5?k*22#_TSi-f=l;n;m;&Nn%#p1(Uu$x%20*
zAY4T1@2n6)wcG#T`Z-7#VC-zdgvTR8i!4b5rS8D}SP!2sNs1tnb3!!$jxt8Md48A(
zu5{j_-=0s_kiK%5latti2ygkpgZ`CY5EW+I9>72MHdean*m!*B`lu7mZDF&~t;D5E
z`XUYQKlc(U4Q2dyGb5ZcVP*xB0}<f$S~c%EhKh+^g_yxng%GeT(lKfenL7I$A?C#@
z={0z-75m^=G)3vM;r9Q*zGOUete({6ZP(6S`5;|+g%LBFoQd;SV`48pZiU*;#z$%c
zo6>lB8U}<)Gs*)#gc)hfeXsFv-nkP}lCxrY>lJwpsBiRXjPw0Uj0PmA7GC+N7rV>6
z``tc3Cl}K33MXgmLbsim3Qf1l#mc@M;uGt&GGBLih4|&=>PsB;*g;r#<vrYBjbS_g
zDsGJ=`v8!b$==B2H++}-zyUejX4CDzOA755w^MDAzZhfup<-*p(u2oAm?ZIi<um+@
zaEu)CXjtRp?{SPtfXyJ*_4IAQ16%=Tfp;zFbgfTGDk}9g6WODcJ5m03DFfSlzaMm*
z!cYmmQoJ1V7$+vDB$-trwUM3u+K;EYNNo59J+vcZEOIN^_tZU^Z3s^CDn_S&W_%pM
z=E+Oo40O;L?}xCVZ7{Y4$Yobfsym6}KoeF^&O6}SWFVDcuI|!aEbRp7jbCQAkn>2s
zqeRJizSPxh^6KHl%dOt7FWX#)jfxhSZqc&QB)uud;T4hpN8Y^|O!SHorOlcs#p#5t
z4SYMx*g62zk{xjW&6{bpK?EOk?7n+^Fu(-Ra|Kw-Vg+ErW)MWE<ED8r^Wst$ue+!@
zHmu_axr>`QKjQrNxeCRm$5c-LEmNE-+oMg*o50=viCcf>gZInf3n1O1Gyebu9oe`S
zfN|%JWFEg;|KY_|@@goJkMKUb6Y2j$=TxtSy2Mx6w{#=bP2xiW=fX!{&@(k}U0xw4
z5m)x+6tks3U_|@sW?W%tD=uv}lv_jLbm#LE#ZvZT*`fdW(VJWSg*U2(2l3JqFUGd-
zZz>!E?HiZG14EAk51Ab%v?XR?G=Zv>RSU%{5rCPj7QDj!V-ds{eq}9TsoO#5%<*&T
zD<%y-c(0|_f_K+I1`Lu~lPE+$>BU4D`-}1&VjlJoJh^Np3|i29Qg?F8M^KVNG(Q!-
zjP{1~Xa<WutK{s+vc_o+p^LLPUNin29k&9kO5~=W1P5k5Q-=FCQsCS0?{ld8)pJ#5
z<2toLg7vt&X?l7KLQ`Tl_rvf?oWpliqj@gZK~2ZuD*Sq}y~t89b_5d#I+<CxPOzdZ
zTy_wP1iRGO*Hs&7Rll$52%F6i-E`kbWA=5?i`7r#*Ur%8{4cz0P&cpnDmF?&?zlgC
z25zvSowbL|)dqQtq5E;h#Rvm#W(MlU6Z5?S#=MTDVt7KbY8bRy+Dk^koEe<oI|c$_
zIpLQyu8_KBFC&?@VnbrAQfw17@nY?%69HicXCM7Tnia6Zzv0IvUKu**8)H=S5PVJ$
zC#YM0$s=QGO<juI7p!pg-?-W-75qsp&Nqj51y72m-pvS)Om<&$OX{^J-J)4@4ENAe
zx#7^qL1}a`#fD31*4lHcGPfY9eW<te1@A4hz`hx@gCl(=P@_|=Jza;xK4khg4(%aj
zpT(o85NLAtBm#C~)e&KYFb!ny?c5yvRHi(v+Oa%_hE~SY4#=q{L#F;iJ=+q|braXj
z_Dz5D8oM-V6A6h-R5JFC!^gb2cBTycAmId`(sv0nin?fuEsh?>(b^C?@3AZE`kC5f
zdC~D@zsjK&#z;OnP5&`_i;o5|q1wZ=G_sGW#=O0~VWrS(F|QVUpDTCo3w$~#6>$T$
zkt!6|OaRP(`lWnXOk4EXc4Y>?6YGAPGh3B5>3rtb-Dm!RQ*iXMALAIt)U9p8!uDMo
zx)tsXPJF3~M}yRu10umu>p#(pY4c}mg~e+(E91v=OYOc6oY&}){W>+!#EsCYH-j>b
z1pgNOyI(Xd{Mu>)Jp!Kj{<X;bC~ytp@dEvBfv~L6L~O)KYmJ{H?RvaqY4jls!KQ3J
z0n+Kyj5$4i#~jC?6Z6Vjo}Q{7zZkUj635>E7nlA9@OfeJ-3>;>FlWYBo|?jFlyPUS
zbM8oHQ3qzTnwEM8kuC&zwDZJB?%I^j2`|9Io<O}fznX?Mrn;wgKv2(P5lyu+qCF=h
ztR+<KZyK_^H>_VV+EP;^O{Og|9J_kRo&PO>deYRBZG?jH^9iW)!#<CJo>Xc3iF5k$
zOc@pjyX$qdPzRvbQt`--+M7FgYZXP6><a|@2yMBow<$I%GXVZ_In+a&oVS@bM_I@%
z9~z$1gYd_;4}RUL*t))fUUbGDk8JuxC6RVLzIyH2oK)Zw%m`*C)+B<qMUK<HNBo}h
z{IcktB5yxwlzH%^T~*MRVb!DMJL?w8kESJa9y;_U^XYa=QGN7{HM)=q)@By@;F_Uj
zWV9c=y(&|A)Y;_<9sh+_j}ZS5e=&A+NO$pE=Py<vp@1V|DNa8i-$?5n9~|TWau}LR
z#<DJ)_=O}&4OeZPxjQ&xPv$g!*H*Us<@B)a&&?n?QdZIzPE~|Ku7WQcc^m}v>5-5o
zpo06rs^m!O?VS~X)|g2s9J80X+E2^&qdD;LKSG<ocoE`WQYZC}fqNPtSPiuz!#Iga
zGIAMWdohzdz*sWdbBVCCia`E8E`XB}UkLvpDS@&PFT?VSjUA6}cJ;73u+nW?wv5mo
z)H<h?S100lL#yE{QmD3&(L^Do1Rl0k^5_<L9d)B4UU$eKVJ`368;7CeR<R#EqGna-
z2WMwOjC*#53f_DTVci8vvMhses=P~!-eWWFyoyVhBeCo?z%ro6BbxoT_>Q@pL<{03
z5dFC%$1|H7m6LO#OMUktw$Se9G;Mrm(sZ)lucYXc>k!5HCORptAogR&hR)r`?&pvD
zgo4nX2R{uK>SHW4u^IbOdsoc3zYo!<9KerIL6?+?M5;8@UVMF+5#9sXp-4(vdNPIl
z9dRzY7xN|6zsDz9*nyr3<a&T8BQl^-ogDDAXKrHDBEiN1D&Z^u;zdM|<Sd9m%^a^F
zM`o}+@4c`=$njeizrEY`y?bTp7-@KyUhTDEU3ds}Fi8MATX56}YqIU<uMt>a{jR2r
zW9|QK@0q@^0htLX5Qd&s;IquC@7HFJXl*f`G8ejFXshZJwkamh*fFZyMq$xucF;Ai
zQ`22Y&`<AXp3|hsz`5O0O|EKrne8QXIb^yS#s>olq4&%^)zRpRkj$9If}F;C8khct
z=6FB{#v~ZvN(ehTLCY`{oHgl}Xu-EWx%r+{W-P4kXH<_-Z6G75cJe&>UH_izqlk5|
z_)H$8_VNlU+8ghoyie0u*LOO*7bBvxY4@XDtGMFqT3FAA6x3hOY0V%}HmTSnl^S4h
zofT<JA;vE>Ltd{LyH?q=Y1lsdPO3ex+-myZN4ZC#QX_Mn2tb<af%1MjD_butEg&n}
z;hX?$2S`RoA3lBbW#Ql?nQD%290oB6>#q;m#_n3Q>+ibvwoLsdmZgi=)7FIA?%OJE
znS?$a7=><S<>ieLfU>g4OeIv}594Z6=Sqms&nqooy+)Ue3jYTRc}}yiv&%4!zY>eR
z@WeMc`4YWl*;xhR%Uuw0!sNNhW`?!v){PuecCcD*OwSsFczB(1z5tDfV#msm+ODXT
z59+sV-FjB%R4LHs#EWAFF8mg4tnMGIS8IKL)4)CR*PY_zc)&~0{14;o^t4jz|85KU
z%a`fTxxv3O<1$|T$B3j?oP2eV>uw58a~EoNFmNPM=1eVsFsYUsS~pC%){lTMY`J_L
zJZ%WT&?VQ0L%>^coPIPF9mH*}vP4fumn=+qrTX$_mf!q#mn{`WQ;RNjxxM$z>Y^m=
zjxx1R%u15XilTMj?l_u}eBqFusIjF^1ai}!(yCG2k<xFvTI;MJ(mw#6C;4?&30ZoO
z(A;E6BTb4Q9Z|=kOYa&v0S@A#0;8?9#aOA(^L_8jkg0#{vZnW6ohanxuJca%37DD^
zpyZvNI&zRWTyQ=2#J6DQkg<Q$LbjhPOub9VBfS#8s1l0I-MiWbM?k@HE--n(E9|t<
z{XTRM>_rR?%nCGO_b^jga>0Zk6>VE)BCcFqda8a*h28l&k_o7UZQ5SKmWHz@!)?~Y
zV#pxR(_)EYD~8~k5I_O-D6XfoQX}B~cucz?5BPz~o;99f-y!OE!#r-4=vs~UU`HKJ
zEn<H9>DXsEJJ+7L^7WS6bgS%wJMR<w>%)t1bi`dW);we@0p(MT-^Pj`?JMnQ5=^UC
zC*s&qBv&*2kAz;?d+RrlJcE*{*W4i-D*GaFUg1~VmK5<@RJs1{)-6-ubX(B}pNU-D
zja<t#)S2sSUWx8HBi;SqEa1gOtGCYcU7n659}G-wOCho&BFU;l_uc^cU^Q-0w!x6w
zlq#`%pK+(~l}?8cSVJ2=vW~^ZgRev1xeZp&*2l!;F`D0N$r<oU9Qc(~USKI&@aUxF
zJ-s_(&>mGS&Q4CY{xm=l!$&gnr#@X09MtmmNg9Lh`R$5su5WtJT?=HQxwS_q?I$we
z6!6h)KYCSb>$_dVLxsP#H($jwN5eZ*Yq$F7+$!Jp6`8a%oVHg}D+S#8rHi(1HFsJJ
zZvFfEg<?Scy3HFEazgT3)@6F<lzkGy%+QQg%AoOiG+)5g7({F2bmQ}xn@N2u(QAvQ
zo2%Ad!&#YSG(zSrKWbYSrLE_hp;cR85&Y=<9BioH?RPzxDYQ&OwxT3S*5oZl>-D*g
zT!+j43jKVg3})38Vdfg=9Jw@=pBMc_Efxo5(Xzk7bGlx-t?2XT&m5mpcLe$>h^VB$
zlg=?wDMnyyFo0*QwoA!_2q--bzKE!|E~*M7HZp2TLeMRg7n}6(dcPkHhiSF%j_up5
z8uy=~sJ7qYbQpb)#Ok-S)TGozFB4+UA+bWv9SX<?P)U6s=Ly}$Gq?s!c`}F4;=+Og
zoSH;|<Kp#{YCYzCRI1BmBB;dW<#oGcFA|2RIN?r|ubh9DC>6Ub&lLe+Y`U4`^^vg3
z-)gl1fCF<oUw11RQ2T$ee@yP)w{)t-Xtke8ZLs)MR(j6wHf*C?$LXIgr!D>)jm!Gc
zCo<4%ss8xwO}f|qdWF2LJ=}5UFN{_$KccpgGyzUXXhdK&H!#!}s>G}<`r^;@o{1Y}
z^v)0b?W^ty@b}*-%eeP&?V#>h!oV*wG1H|tNzn4+FBB*wEBf~AA{jA4bS?nYT=rQg
z4ECpHX-OZ4?co6Uqtnw_T&DU<qS*AAiI?d<_9uq>DhwIWDO;QzFb*CUGP>W-v7SzG
zv!$pPRg%`=<Hi%(`Jl!UEoGSd+p}cDc@4k8!t<u~xVfsmWxI0`x(W`F^0l6QBWN^A
zpu$u6vn6$o+QI0Q_g{k&C;q%^fQmmyv=4>@C9B8r=-^pgnxyLD@X;La;8+qNm*vv0
zGHxfo#;aa%t$b(zxuDbVg@$@1t#@1q<C3?QrP-(Hce^h?p52kGh$XI&D*b`YDa`j2
z=w8S%G5?%14qXAq>&M5o0JcA$XrH`_+GN_B6aA0IqPp~Nj{gJEhBTmf>c;?v0O2P(
zrGdH<lI=APg6Dpts8W%TIyhIedHuelcBa0w=K(ToI4#o>&KIjeYeESs2C&9Tc*?lv
zIBhuQvxZCa&>-EOesQ^5;NR>Ea(PqQ$_kkuJg|4Oyb&1ukNSkUNBEy7t0L!K_pj-!
zvkGRm*Y4kN@D-^Jf@<<*W<KWU9z@ivGa%^RpnO6BfcE4kPD{nKx@5JNr|PZVt4Z9B
z(V}#c2IobxpcnyFNg#ud*Z`EYLjB_w5Q<O#=6RNsH$}1!z@iAZ*5bfF4avuOopO9M
z`7a~=?9cRQf)(aVl<5xTnS2j_-euOyeBR46_;;T_upl|Oc9r%PdwNoq$t9QRx?Hg+
zWul39dUEH^9Sip)lM=ugFOqA&QW}3k@}LMpK8A{_$YZG(kezhwP4YT7YVrh<IgXby
zO3e#K)BxTuEQAjKMEB!3M4*zPJLek(4y#?fc(LUDhmRk@8e?1aeM~rQl3@BY9LY^o
zIyJmXN$R0^ph0ExPQ~>P)9;&(4*V2w{JBPB@tEz*ldBP#ihthcq0x!$ZZD&VgacV@
zAf9+r(Zha+Q!5t$%7x+^DgtCw9$6>8a0KRFQs~gb%wIn*tazp39Wzr_4K+>HiCN-F
z1D>C7kr7EWJ2TuBKSOt)fI_7KuI9_ugUG6Od3p^{VCeKO9126VDTD7&DoLR0;Uv+5
z|M@%G)?M<uIE=jOizk7xwo7k^8Uv%Feg<&;LaaE*xRZ++CxV(T+>0pad~rM0^ruh;
zlaab%nVT-udFL^T3c)D`MRq=b%!mFijbGn<X}n4JQ|_^r^`3odgFm+GDW;)Pj_9;8
zv5M5aDtHvv%kVW@2M58DPZ#dFTKWe*(oX69wBs=H{O7SS*my{F8Ph=O)6_shvc?m(
zWBUJL>b>K+Zrix=Z#(T2MJ2MLP%<JTqKsrEn-a<{k{wqPWm6QP?9A*vDrF~IRzieu
z3CYUyK3(_o`#t@0->-7jcYMy{JdXGA9^y!lf;7t}b6xp$PZyL7P4Ijz-}SEfBwMnn
z^6&9*BshCgrLXPNY0;mX63wc0!VS_ky#}W2*XFq9+v`>JQuQk)DyNFSJ|@cil?Wnw
zxJWkuR)HqEc|x^=(9}Zi@TVd8rMGOb`HHk_(Nbe2CJ%zlBX)M`*Dv0<ou~b?f9oat
zSv5OuZo!bnO0s`IY-At1t#&ooktY&7QxXy+ycsmG^1#<-`b4RlBT9gTf?IF9wX8@k
zLgOp5q~2=ax#cfNAH(u!AaaV&OZfExL0ughdW9Xf$^!uXsqR&!VRp-$tFEkM@3naF
z06%(q6A}Nn)6<3yPyea$bY*xN;FTbrOh0n>YW_@Qp*n2Qv^v$~v>LBaWVYl`E^xUK
z>&t82!F!_phC{iu*?{!5?Ri+I;kJ>{MTO}tQN$8wAHY_>28$zEH?#b9DDC*hm|>;f
zpthA=RZ_w6a`5Lp!cmEj2iKi7t%1%+1S(i!LlWNAi8VgFs#&Ys&B)GyWCqkPCv6xv
zwZ4MmYhg+HI7&b+wASKpyIM2S11~q;CyM%aMj0E{KU1w*PyT#YRM^1O^w%5P>F5tD
z3XZ53y*amZ2?p$fDfa3Zd_QPf^c1S?ICvU1?wrmL#neFV$vAsX^7z{_V=pf+nLAMj
z-)8+j=j#u)s%|A4|Hlh7ug80e@+vASG+ZtM95cd|64aJhkd!1dOsr6_T%Zy&Cae3Y
zerXPsSg&u($!@&b=W1Gt^>fyoxb$;Y(DX0cN+m3DX8)dwccPiUTCJ?<)St`Ya<TiK
z=DX;>Pj_lPX)?<ne>B&%5^-Vb_wNv#0+F2awMUcAw_p=ZmLZP48_m^`c1J7}$=K{T
zo<`R)RSoSv7il;CEG&>7<${)Dy6vEgypNXqfi6PGMK>8rl&0yk>cb2zPD@}I&0GP)
zWBG5o=_C!364NJD!k@3<Cj6-!G%!urFUpNvuOVTxp0A$Y?xt6VHpLl3NG2je=YPcb
zvk-A7k%+=O4=qgoNX@9bgY`NgG%d6|H>H%>d7$Bq_~{~d^PP^hyZq`m#_u8)T6f^`
zxh+Pu0P%M>p8PeHIq)m0HGze<bHQLEMMn1I@uzxGLI2hf1Sk}5xpK5$lp^C5_NT;V
z_|mc%4Pt^UZ+U(fsFjk=d3}El&3ns-Jt~r1)H!!c(?KOEzDiNi1q!>(WEg&@)tnDI
zL36Zkw@^89{P;yzvDGKz>>*}07W6w0clw#0ns~=(woDES#V7CkPf;P1Q<!z8YRY69
z$}Ah`j)sjv^^eI4T(rW?p{E`{evFumkAz*pGlM<I0Wgjir>3Sd9QCncG+AbAyKAs$
zsMyfCGwUO|l1>}v7W&&Xlpu|(7jbdSI>&Z+Txbr$5QV<PIq1iAkdO@WmQmWh>fg6Y
z-}|W{A$+;Us<XVV+eKPT|DI&@^*Wy4j~<+3hl7ZD=kN$5Z@MkB_+Yk`NnCb&xn+y;
zhvj-}Sg#UGLK6uVijQjkt!vAryPQ-vq^i}IbeP$2jajKBdU0kh*BnbH2o;fcs6<OW
zvbWfu^L$<p_(YSq+TvVlUT>2G6F6KM+GWss1^|B^9V5CzH&xFE6_@tp?WGiheVEzV
z0g98Vxb`KT5Drx~>1t<m;BqRr2zuF+*DvH^__vQ<rA%r^^I}-e@Z)XIbMzS=NRh0=
z;a9ZpfstS43A08xP)<7003c88JI)PqaTr~yVJ}N2W#VX$+U&wh)!0c)a7h>d;cEe{
z2#6MIJ))v^hw;@3YFn{Ju<&1g-9b@FyZZM2!{WoQ=PuDyJ$dm`h^E5u0ao`c_9d&}
zOP|hVCa(vvhI(JKSoS*8?S4B8oC_VF=QD&k>Hif1B?eAq@=;;0#a++Qv@d{SyxpW0
z^Czw^o=>KL=*fvb*J;|7o60S`k<mi-I3GZ>%J|uEja?7vBtCLXr7WK?bB?5;Hb|c$
zDmkQzXu%UNMGWsn_!lmO$LJSgjga!9z~?MopMaMo!<7adgSthHO#0|hM6jmykHX@z
zK`$w(O0bAiRL$ZE1k#}ToQ68N&FPSk^@Gs2jDWd9fc(hf6)7BO#$s`Ga8;-H)pv$<
zb<Dly&kPyYG_&>X#k(^HFNNPl=XKhFFSWo1ZO>L?6St@23i(8aLjbN3D%>PX)PkEc
zdOJgfy_XUb_2t+VH?3b^VaAj3h<rpcWynhXK4<y#`*+779=0x*k$>()zLCGw%WD<5
zl`?!8OkPoCIG87(0%eEYu^+0V1Be<>nmBz6m|1IZIaK7Y*Lf1#0;0a!dW7&GmV2Y$
zd9@gPMw{Q&5~X#N9;pCd_Y7EaUZ$cP^w8?Ie1M-FohykQ?aWEuu{GoAsH(!p)uHvY
zpc6O6@67Nj-QucvvR@CZPu)QhKRf;|sJixrfk$-)B(|dLpEjfAxYL<q0-7c7s@083
zd#3)qc_V_3>7z+k%>Lu2iRUgf+9fmL#<-{EKyXJ#hnX|HgP9=K4?vyObh(IbiSSTK
zERO6L2(NMA9A26H3MZCTIt3&5|NL@-Ud=uZ6F6<=_ccUt_;Aphs+)RlmzA&=D|vVf
zd?zI7?b*YOYPm{$YAQXYGS)*3=2X{t!P$WeMC~A8n1m74^<f9)QOO6|GjHB^4y=BQ
zKCwe;&QPY31t0bW-aQ-DTN#z#h8^68l2OiaP7>X5Xx})|W;abkP!^Z>fOapEnHi-Q
zXV3uJ=ON^UL)rpA%s6gi>u{;pTu1WWgpLGneo<IwyYGenLJw?z#=j=$1n`~a4Rh$1
zQJm4I!XM=zF`?7l>bgeeFkl8&aBiLuMB=0WVIFLpo|4#wO^0YW3@+Z(#xOK9U-m$N
z{~A`s(jfZY`COO^&U8?Yn~p*lFDIX@$Ak47=u|ha?m6&up|V_m?By4D@<0Q!R&sqN
znqmqIY`TL;rAD1F)OaI}eIfwvNYTaT9zTM?O4WO)b79j}S5l-LzoMJJI3}2pyQhoY
zsRqMb^ah%G`lxWh)O1bd#b6kUo@~ag7YFp?(O=)A$hJvA`;Yf@d_)?hcn?=ytq$l2
z0i7*3-U`z13$+UmK@>>+jmhfILYr7li-3rDRTs`zv7rCOw<&9Z=pmN(aY5ze&!zsI
z;!BK}d-i1!!$PtkAh0a_&vUaLxK;E9Eu20D?FJ<)@$)QR0b#@b6sQ7ow%PVM$l`)<
zxX9KfBgidh?80Jk(NguMi9KQefEz2dx1D54Pd4C@U}a?Nt8N%Ij4kv+Bvr3r9?q`Y
zOq}#{5nj8iwj9s+u^xUP{h<neYBfJ*Z?FhI^d6x2#IRZ7XsIK&%zWVuMkqaEs=@7y
zM<6!9+uQq^hXIm$Q@uM_)Ig8@@c#Y#p?mArts`c5|0BAPZw3G=m)I?ZG_lQ)->=%q
zc!tO364)C0m;b0{yoM+2CNg3Qp}7W$1TKP^#`Q_*M(bq4;Y4FFTMB;Ov!-FNd*Hft
zT6)oN(jfiOhLC6cVvlmddGy7mW@h$gfibQY#%B`rLu@sy8D06EeLH4TT<wx5Xmj0|
z_iH40Irk=IYxrkn)kn(jG%T-k`E}w+bogrtkF`4xlz>6S7=b!0QXU@Y%bp>=1tf`J
zD9bd68cyplp5kBlTWc}2fVSjjaruzQg-*P^x+maM%)@Yb)xZwq_fDfXttWp1&$?p~
z4-VLWq@~lP7{!s8l4JkR!O=0aOomu`KN3^-aKHury_)J=t<6)s0y*N{SRxJ-O7Y*{
zz@}J>xbRQJinH3>2%2{{lZ!C;0&nbJe)7C`KCN-6U=gHjRNQFZ9PgWL{-tS#>NH6B
zfk2K{y`PCkGh<1T5<FV|{ORcS+p_r!G^0>B(zX-ZTb~n<GEr^kk7xYPr<QzGluByq
z-K?(W1?Xf8PC3ZsnQmasc|C6lPu0z%j#jAdA2fl0e0uZdDGc1a;Q9!B?pDgx^;uhf
ziX`h^prX26F?G_$9C&)%I!Q<x&1X-->>>ap(jRYvW;A?+PJ%hH$_RA3p*(C-YN3Bg
zM?uTo9;Wsqf?$_y-7@?^W&>w{+6E66TCJO_UVI3F-~fvueimwY$3C!Ph`r3s&d#f|
zS}s615o<cg&R<M9y>ZsHX}2KW#HrWUqX;Mh<R%uM;oSp25f~tYN0g8Z4mRTgINRN{
zxF1aQF{<mRHIMiGZiIN9=*76tKMf!NJQ3j!PGv-W1u10jxPQ*oAk4uDiK6)1W5p4_
zRh!SCHaNWf1~J@%JHqmk%Lwo7(51H2%qLYwPS-RjZw?B=W=hr54CYKq`+Nmz@v+@e
zB0h6O*<VaP>*{Uxs!?4;I1pZ`ple0)k?rm6Sw^PFg}2oj_0D{B4)94P=1gL1{l96L
z{HK&#B3XC!1DzyxKg{M&kvKVJZTGZ=B%_9>2W#<>0^feKIUHLvB1G9{QVWS;XP%W6
z__`{U02i!gOK~k#qtHdtMFs@TF`1Do35uzHnStwEFXd>Mc+VLOsKT9Ebpb2*NZ7se
zHI}xPt>afu0@@hFV1x^#ak2hIJMPZ_Y75T6U>{h_O!PBT(^)t({d>ypek?3YcncKO
zszZg`zl{%kS(Aq$GZ<Y58~xx7Zye>(h64QicRQyI&m-I=c!vXt_G0DbZF(a1_s_si
zmu+y9o_v&SHX4<+;YEbj018%L-R1HnIQbBV8gduEAG*VG{*cu&k*uSF*O2fB6iLBV
zLyOb#IB?N3u*y&Hs@$=tv<iY7d<A;Lj@t7C=XA6(3QRPyg&)kC83xkDZo8yiz9M&W
zZ^Gv;8<hk2kek@lLx%@Tj9KH5milWXbAXzb=DL=?`r!w1d9p>s3?)|6WXsQWCoU1A
zKxFwkQYVDHxe)>)F`3uN%qkah+yp9iKr_l<zoQl9qTYQ?`&tC7x(+?j!}^&;R1BR>
zQ=zRH0fsu{6be<gDi;?QoBubNlJ6RKoBe)z4k!nBV^iOKIVHDPGtZLq`p7Icb^y)r
zl*<8Ks-SzFa}O4BSrrxgPn9jeK7dA0FhRqZDpq@R`Ew@iX{OPVJZW#*hrb<=kCi<4
zlt;h!RqtwTpB0Pw%gvh5Q}LTUjx48P4iXCUcx@LSPU|A9819rrE`mSysJCGWT){rC
zu#it&*NfCc+J_JE8gb2jcMDkA;4zcN>5=7hpjT}0d6a|`sDbDy`S@dRVajg8;i?Y!
z=fr+ygf2;W?jqY11UMZxR$5^L6Mm4W!LNl=R2s0arn`rKVdk>it1X3>#|H6!Y=n>*
zq5DxvS5>t#YxGYtc=3v@q7Z7h+1%RA{&Gu@7I(h}+kz(BVh>n-uKVXe)gvY^;J(bP
z7opijZ72DX^|%yG>aXc(`QP^v2j_uDv;KKo^gk3D5AeMbWPH>yXz2bj63F{(a?>!o
zxS;Qi&lmek1}VpVK>w?PfNL9EDu^e+DCPWx3$=J*%vjm+nSbNKD><dqu81`+d`5t<
z22@p5v54#GMkxo!o7+Mkbcp`{7eg^FKPw)OhVY)QsqKL8WAAYJQJ$DZObMy9Zxquo
zU(#Eb@N*H+0>DirLbiq9fslsD(5)pH^a!b8&PmwA|0{;2nAvP87zSR<uaQRAx`>L)
z+Mcd2m|X^om9eYGoqQEBWEVq7`)FfuqAN3z;elf#<9HYUsnp~g#>}o#JX<UmA`FBK
z4JMQN2TU$?^wwXvCVX_TZv3p?v&(%G6Woxc@Xt>Ff%wD_*{jt1tIW&?GX|mUWx-8j
z5Q4g11?9{u|1t8MmhUF|C?HKt&{*YaU%h|}p6sB6k4mLJ$7kSXBfI>i{;m?R0)nFr
zC`4a5T*&o`Danllpnw1WkmA3$CLn;oTJ2)vy%fC?;kS2YfRxLkfl_H<!@tv1*5u%9
z^erGvCFa(Z=Ea5UwHq8<dYPzrZz{7=jzSkGoKuR=BYr2zl`;Y>Eu2WuQQ4ULb*-~I
zwO@PCJ>tssm)AXD(irWr{~8=VtG66QQ}e%HefgH+JAyTx(vXq)rMR>S#5Y+BToYJI
ze!_3PlJvN9ZOe_lG&HQ_xLq4BfgkAIV?WpISEz4P`XJm|HUPf046gb+Z`Ei*l;KHG
z0_>&EWMe6I;8!LWF~e;em#<gt1uW6Jc!2LFqu-Sdeh?Dw9*C;wMBddUzHF8P$#du8
z@T5K}Wf-;7&oJ<StX;RM2#1QrQQYhcVw{+hVbcV+LpEGT;Z1*+`!*APCUHgtx#Bd<
zUE)4fa`)}=B+C}~cMReH7a!cHJiNc<*~0w%bAfpD7@_!0@l!La_y14yZ|C&g55ZD4
zjmDe@pk6Ce_<8*z;2Cb$ZT7IA{C{v>**~7Fl!{KN-i}vCLMoGHrv6`$w>3V@8Bh*|
zh0W~z&gUIPNlW<?K6M=yb<r2h1R@KL5#u)ERvvh;xA+8Q+pEWykUex6z$O=}WAj$q
zdTY=+iT->C8?g++t`m3eKFDK2upS;O=hr66n54_Ek62pD7Om&MT248X$sqVcly$2k
zSmCet?O6RLU(!}}IHu64ga6#KphCc7`*8C823%Rn_<sMvg%A6i+PW0vyyQ7O&n6Ch
z#3xPHria`4g+PY^=oG}>2{ISyrDJMINS1Od`M+oava86Bu(C*e!Xas}SUqt*&ve;B
z2M^t9JkFiblH2f#r|QjvA3fEUE!0StKevFR6TD-KtQY+>OoP2*Xn0kI51=~;?pp?~
z^%U7s2il@cc{1koa>UOAFAPA_J+`v1&EC<m2F=e1->^20HZE;a>am0SPrg{K#+II5
z_hXW0-Ho52MH1g0?(7?QbCmAH^{A!BlFUE*K85@ou0$Fh&f*|yh&AHjNqCnOJmo0c
z;DtnV!rTl=ZG1_yPwd0!gMmAaGM1rD3F8%kruxu<r0WNBLTGYTSK`$mYz+wi?68iR
ztiRK_;2G)zxf!hB$VbXp(Be2x6v^NxrI@jPd5?L+c6<<0gK88utBzR({LpFc1T=?s
zcA;f|7vvQgivW@aSNn#@`e(48`53vGZt?DHH)i6v#1+z+;G5p_;_{b7<(R!W<XIZ-
zAL>7HIM-QEZg}=7&tGAt-HjiQ-@8~vXsEVLmUOL<KpuVGoP7_nA2nxTj8MdUpK9AS
zzSP4x|K0{Gix65k^osNGILRDtG3dd_Sq*y-+udvUHT7whh(^X+ruBXcS!&Ml@MmZ$
z2wa)Gfsws=tIQfk(M0XMG+^weuYyezz;lBwk)xv8HS0%QN{XCn>tpcv$nN;Bgv9cM
zIJl0Q0Tx!6tgI_-5jl5iT|0Rs%L8=_4<Gm5sUryEdyg!+)aYuSKR5Z*L=@{UoRlQe
zWh8m``?SpdfI~k(LC#*1BahO5b*HJtC~Q`lP;wi^*=e;7*o~X3NS{AHTJG@xkHmQ}
z0NDH(sH2B`SnlX?LGZnAVg&1dCYSmsaq&h22|o?5-&h!A(^E(Pb$RXZgmc%&D|j=R
z1|PO0&z0edFjzk;Y=`Hg@htW1<TVsblOuy4H;;aGFz^Tgk#2ldF3X_?XU#hLzV!DZ
zY2p`8zi6Pvx4>)od(C{DytIi@|Cg}@waryn+Zw^1xlj)~IypICW@Pq?CX`}@wIH(o
z@8mPJRx6dU?8}sRy2~=LTG}uD)&L@?`h0*9m<DO-=KI`tlDLp~pAmE+M(`6Mb~dB@
zPWS*3bbVQ-@<x<P{JIg6{&eV)$xeW_PtYz`qxGxiXF#dC^Xaw0@K%VBa67knq#1a+
zS8Shn(;W{B#~j3gO1mmuc|F7Niu=y`O`F*5qvS>iUK^BT@xj^gzBYrt%~q979v7<L
z6l^kDYTH_^#|USn>L~FtJQfu*9yO*Jow%203n;ynl!`dEAy??N3*Dl^5_MwEZzr&+
z^YUyv1`<PJT{3&W!}ag{h5tFzo4&h^@rekcgeiZB0T7P<$tp@yHaXNl;DJ41J??n&
zvdZf@HD*X|drVKRV##hc8Fh=N9OcK!b&Y_;rQDHXsRMU(X08NNPqq1e3FkB@z4m@1
zNgeFO0DJ^FQ9TYbKLVL7fHq%3R2kBr-JW0mr;eBgd)gtFxV9js!|dvSCC4mW2*z^K
zs3H==;Pi945Ds**Ky|5IcAmWNcvuTyY3rgB>?-_ZQUi0ZJUe~jgp#Mp{%hDTUujoK
z{=6gSaPH$rj{?ymjyOcLC4RLf%^pdTqIF%G^5lMKu0ZgL)u$)-=rjJ9x>0>yLN+jB
zd>>;lIP2hPSU-hOoINnkAs(xM)udhZ#9*Nvv{rKO?CDwiS&>=iRzK67D;H90N8w)k
zc<eN*k;QA_5K+5{gYTiQ|4CegiDR3>0ae>NSUV~alnIPt{5mU_SYC^HU~GZqH!<fY
znaU(4Y2oxf{OL%rs>g$)U^o+7^s$OLTw!81uZX+y%mY#WlM1>i;Brq{0*|122p+vQ
zwiz3j@8UnaMf?4iQOE`i<1}Tkq>KrfSz2fia&T(gjVub@93ILiR_Lyp@~re-x-Hmj
z&C8&e)P%5E&wM*2>6QyFxj2Nwk%XqvDCQ$aR4&IVidx}!S0lHg*O&%P!?JF_A;p9Q
zbZ<8qMh|0+SIr_`YCqNgP~mYHuhEvMMe+tIk7#AHjpV&V|D!<MxDAS}rfr?$?T>>u
z7o54_nBVP?D@$-p;`qyC0n*vnkw2e)0O%|1d$_x}q~tqj-S8bQzi7&>1x2hOW|XOS
z5>FnyGq%|Nav5iFroCf0`LdG<6N?m1wtwp)=sHIsT06z!CE;PJvGwf_uoF&4W9umo
zAS|^v{qfc>^m-}p&RjmzmiX7^dkrfHX#vI!kruP}W+(5GLJT|J+q9eq(c8}}M*Ayo
zc!uKG6x0n*-x7WPRRL|M|KoY}UTtTokb}hxlci|8s_@<0=6mKetjNYirgtijzrH)=
z3Pa0u|5q&;Pv|a}B#`?D3Woi6-4okKL8Jd{=3XDY<trIANS%X5AHUq5C{6RD??(!G
zOYu6V=WzI$8Eus(F>iT<5_47j(mrZ~=Y4V90>qf<Qltn6(azu-AS-a&us>L|M6<gQ
zl{U701h&h2U4|x5^}f6NhxT^C-jA_FOci^12fSS1`gbS!O8Jb0j$ME5%!}d+K)_Cx
z;PH5mbpX^*$4Fps$&Xe58l<-tP^{SyaF;Btu^x)^{+tfDjpw{?(Jf)t@VM=*y^sgQ
zp?_>bS66`SPScedN`N__k3e94biCG_4`fRO*;>p0S-1VzwwPZ3)h6f@7wfBX*)Mey
zt6R<&&xN_^m-9|~Q0qqSafpE}ngu}Z!p*U}$@Gsy4E;6?h@sa3sDQRAVY{|O=M+?G
z^5}~O(UU0F-}ZLdQSI~ji?Hpe4DQB(h-8)Nlb3HkiUEPm9d72IN0%o{<{}lwzm_<u
zmo846NuIMq(IuR3zfrPtcZ|}q5`}~;yfaF~!8-cGqh7}`u8gOgd(T{Z_dx3KG#Uo^
zvU|(OURX&VwF+ODGf_Yz9Sf<`-PKSMX2ZGPPfT2rW#bSMNB8-etF)NzJssom(qAku
zu7blXtnu!Ltyhw0YnrM4tow>`l&V@^OlW8*$GPY>zT;ZiRRN!6mi&eHk=W|7fm2!N
zhF1B1{;JOvNwqC+^m|08!~jVnFT?QFa#^qNj_ktRWI8zI{B~q_;P)0-xq<43w9DT(
z_)l6v#6*nR$Xz}AAQ2H0`<pz&I_B`atQWMEApe03$4>Qq^Tld(bd7~R`LAhw*@SJ_
zWrP(wSkG{G3ljaA-IP3+@F=cqlRZLQSeC`}+=cl6JyO6<M*=dDgW|;ybakqY?ngPe
zIzpAMRuSJspb1Yw1&;q^wS!XK{!(JyxrgHrcU$8Xp;(ZB=Aye6=N7I+&4VuiJ2JeK
z|9-i-n2WpW-__gvpNvFy>V;TPr+`&&io2wbQl6zQw#BqJVjrJ|31VYFE(r5Hka{6f
zzWg|1djhbO9i8*fw`ryhn~cYfc=QC*hqk_5ISc|!xYB4Y3=a*l0ob>Uo~-3Odn8T|
zyAoVS%J=79-#!e9S%>5X`45r7`|Yx9MXkvS5zj9iSFR_ly{4k|>}bYUeUFC3z609M
zQy=#I!Y#`FAHSHG#NLJp$ZqRz??6@g0|8Bx5WeD_Vkc}5<89Rqj(z9e16SiP>AI~;
zOATSFyuT+0KrPxU1i#;Ba9~_GDg1ziYkGRRS;AFJY$&2Z8&ef-Jdbj!b+d5QAdxaI
z$1RO-{fp&x?0Y@(S(OJ4BBX%eQ4V9Nc@;poxm}XZN~@jHY?ZsxK7^k@X1U9M7Ay>R
z(zMRT&rOFO6dQ^>aql24>pA1`P?Iw}CwFgwP1rsjZnB<1`w%Xi>3>+fE%+w3ou<&A
z9jr`<y2nWjPr%(vcqh@%{p6DQwbYz?t*c%OLeP@!+q?gyffT1dW-3L<a%OIvVosFi
ztJd^+CE4TqQt}%*cR&y1^-?Nt2z?C=vT^pyB?Z7O>#^Uw`aK=jj{&*ex>3RE2lfWH
z+yx|oy_G+c1r|E8FacruB%^C{?~25qL3?yBQR_J<eli=B;A{9z_N*7R)4lM8UI-mP
zxmvZ71*kZ>>pq|-8N8isUp%puWVK(!;(~>1zwn*Jy~m7~C(F-F76(U{2NNqfvNA}X
z1L&YlG=qMZJZ@_2L1w!}XLjRCWYD6ZqUa>*E61oH$9aDSE;zoc;Zm4mr=<?2$J#R%
zonsRWw1jL&pS-e2j&6eBKlJduKTM64uje+>h+qjH5JLFbhebK%V^o9?(mVEbvrySM
z56+EWhx_Oa=)Bi^R1m(Z?jQ_ZQ{sIW33!8+f%(?EvoOPWg0rLse#}v0avu=cF*O|>
z5uV^z0QG2LYLXG}^^e;)G&5s+Hcny7+=Qhc>H|Y%K7L|^!o-CCIV-GOaFtf`bbkDk
zhDkG1@slf$m)=bH{7;7(-ieiU5c7o{bjYQ<CjB}UHvd6L02@Q-9f#I-#&KnD>y_!K
zl?rW^2&EHV(mxkdEoj@;o-_CwPa8oz9bfaUr3CQ8GE&g+2hkR%d>Btsx(~@ZlMB#8
z5W?R<=S5y{Uq_JjB_1w|)&K7ka;TK)#>9H8#O46xyM}BF>TJUx*|C(3fzTU!<kK-g
zc4~05Z#R+G4Yq8GeFQvzm69=tCShu=<ngbhev^w3$iow`wnk5EQ&(3%Hz$#!2{S78
z;iTg>-+oW@9FvgvSgal{yI~DMV{_nlsHXf6=9r5zDo&<<tHEte89t&FOl;<`Lt*7o
znsf*Ho9noO?>-J#&B9kr6)?zj#Q%a+bmef&-=3s0BaXPWw*dl|;9hvU>F|%}3_qEA
z-6$A<J>k;6qLpWvTBiQbSq>Wb+j$RSyDz=ZRn7-13Fv~jKM<3N)6|NB>hp0n(k5zR
z{;$RhR}QewLO)2o_(@cq$z?Q)$)<Nj5jY`md2ov^9+<;RB7phKu<8DD9tUtp^~&xU
zD_@HuY9q`G*sHodAu2MMOOrGeW<nM8fs+{w7hjhpMYWEP{)I~YWCdp89u?c5c*UqR
ze-pJ^UZSw@Bp!uFiOqd?p>6GIa!mO_OST;HtufLJLQX>bmXn{de{VP^cyW9zomuev
zQV-+2Rl8gekIg7g{Q3YfVor>jamTF^m$AY)nHNa#zzFVMy<M9bU5H($GbWO$wP*L5
z<q;+hHg_pyNzz58s#{rF*Y^`&SLx@bP5r=qzN2ST6czj}`4cgdrYhI*ZN?%K>Mp|u
ziVPj5Ho`i(*O1kU;u4FyM6qO!?L5sJC23Zl&BQhO(O+{im}9TsVi5NE^XHacFnv&Q
zwo5WY3I5UMq0hDRJJsn_(r+e}F^p=BVJStj-J~ynqx~dvXd3pWlMi#|U{c01-^m|9
z{|Q;n?#B#P&g9fds7gpcLhQZmkZ=q4ViUZ7QNfjpU%F$?8(BQqLo|}aFO{S*UGW}D
z?AyuTpyZ)Qpw6iw>aWm<kf^%%;vkZT-E@T#Fi6C~hwHLA8$UPj_RIw*7?(+I`hbZ}
z3SyGuG@O^c=JwA{p7XFv<l^P!ZFG=n)ANkY$7FD7r6+miu&FC?e=$a2<@4gji6V}B
zrCWBYep5G9UF^;_QGKmjlpC3s^zjVzHdmq!P*X?ipW@#qAF)r-^jbY2mRek4QT;9(
zF*oo{z_&=Z=vPo<j{+@2zOhXB)4^!Nz+JN2O)UnXBO@L_ubax4v1Sh@W`F3Kx!Tj{
zrs>)D`X#>8M9;;706~~So414ou4?77jY}*ERj=|FP?coEhR7ZuGAvx?vK!_Sg(;)U
zd_vzuVNbAd&}&Pu+VB9j-k$>2VMac8NPouxfr})1Mj!X=sdOHChm;ohju8#`U!M;z
zuvd4>_WaKdFk%Ys(8P=<)4}C?QBDFY=aB1%<oa9v#xDt3^xlYyauQ9AF}55puoL#y
zlZvAigz8);IwnS8Yz&Gb$7^~h|E$^qy_Ie=k~CUMTb-|OveT$2t*@_F;MsyMI-Sp|
zS4WXWF$tR!(LiOcTpdLC!30l)W*f<z<Wflm8J+-655DfFNTscRQ1xN)ZPQDsOXnWO
zpl^Nn-~kSmJh5VY9~2Y~e5SD6H|(foGSS9uPz73*T|m~T05VnDSM5(ICSC9V{SHDR
z2wLfC8kr7GGNvjU%GLfk9+Oyb$MjOfDU}b4YJvBd6AkvG&q5qw`EhtQG)*#v2;Imi
zOOgzSO!rM!pE^iIZ@W-~pR-9yJ^@&#*&zNU<GN>SrTN!VT`SHv5*s++F>`K{9&us7
zF7V%$?sI0BtGqamhleB@B%!LdY@k#7BPH4LqU!6tMFp$TDI}15_Be<|y6sDavuDds
zEutT5Tkhb!puM3mab@2l<weuMuX<)a+wLnbrVK?U)xT?RSI5Sj6UQ<TbS`gj>KSh2
zycW`U<dIPk*DKg!){dd;{cji_l`F5NWaV;m^+u-gS_~V7ch)Rgx$O-s3JSa2rwbe+
z7P6_=g@^rEKsO;buO^(uU!1vdG5?n2nB0x}u(<Z8h%6y-iiA<WgOdRK+qWwD$>*HG
z%-~Y23Ups}0hCGM!?9~iT34o4DtmR^WYw1a53l4?6+x+JCug@g@s6O}QG=J!9jRW?
zn^l_PHb=YNK}?OE9c(MdR_0%Pb^XI#JCRx2edbir^gYoAkprikK7IQ%abm7p@kiwI
zbLPK49r4e?9AvYIPLLHV)p*&|q2AF_0R3kr31Nni8clBf0eVzucq!F|7~hel9P!{A
zawO}3{+*LPyKpWk)Tg)qu+ruZ_Zd;rQrS4)CEWf!z^Tdho$>R+Df<^Z;FMm>K79uZ
z0P~$ci6=iQeofGk4vNS*SbdPWXvn5=G1zPSnI{|9W25+vkJ%Ad_CO1x)QFiXIGiL@
z!1~vq>>i&VH_uY5*#rSwe{Q?Rt@V<A5!YmW538@M4ztyAsj8*NLrvZ^0e;9q!&$GV
z>J;#{4SO%pcVc}eKh(P3L1Eh}cZqWAAzLE+74?bbELjW_iWniflY!EyJ}f)!!;Tz#
z7V^C37u-2^`FwgVo2C4K(HZr+iQfrlw>FtESsfdMvn7CP=H4H8V&Y}JXrR=3)b&qg
z^TRdt1G`RctZ!r-e5$T@+r)jB8UoRemRYF>DxUfAwN&6L_%C--{8oTc7-HheG;QT1
z1v<q*mpGdO!-=c7KumPeV^${ZpTGj$5aR<`Vr#-%DTV&Qk9>e&fdGItv-=-RLPJkv
z9MgJ|1F58u6>HaM&*$3=>^unNQyyD;3th5fJ2O(yG-mrtwrsQ@%6{9*%DdR?rS#7Q
zXX+!)%t<ip{p&Aa(_%I){djN2c)*XvNpR}I4U*nG6nKtFJ~nmuJ}ha2&}ckAA5Zy7
zwsOrKr%^h2Z+?Ec$;sF+ocV?zcb=Dcy6?-4I}YCbcv$$(kLw3M;Pb9X7z!o#zccb)
zgV+@4L+g{<g=clN(odnoVEp^9&D`pj(ve{9cbPZl!UhME1%WR%zaLsmKk!&#KV08+
z%;{5ifE_*U6N>o4?zL~ugQj`$+cJ8t@IKL^o4Zok2+7LLkdHC4S*it8Ly?wUEC$Vf
z*mylJvpeSQJNs@42HJIFYH)hH7;wA7O}cWpkXs?3bx@0PtIgxUD_-l?YtIY5$95O3
zxTf2wTYU|FH0EEsRn107w6qjrY%Mix9R_DK7Q`;CdwX5GI3E1w_-ilN3eL#uPb1#c
z(rG{l4-06{r+S!sU~rH2hU4QAZ`7dx7~wid1r^brY$^GQCDt>^zznXJAWGc8H!uGp
zT$Rksy+0CYJioW~EQa{BCd+YC?YLu=q;vCT;&BLVGpEphPcu$@=(;I!LNxNqXZuK8
zyc)c;S8u$fwb-?5-bxIS55Lgm6)cs*%<A)AL*MRaXXottgTY`5KfiTB_@$HRmB!%_
zVtZ=W>%gv8c4=(o6qcM|%sG8(+L(`n9)$SZh-c=4pF280sO`{_A(c+`htt%)<nIED
z5>YFM=4_r8Tc5wra<~1T@w)>bw+CBYE^)NA<M|MS=#%HuG!~MH85{5NCmj;Bd?93Y
zG4O~7myLZm5#mo2O%6g%913+tSBOxygHgI($;E+7_2O%;mVgW?59IDU{&^P`MZxF}
zzE0a)d|MtZO+!K(2p&o6;2RUsf4U2zim4#(b7Lp@0uHXz;PuzS+h2!wn4AvSRS^qV
z0#8<@V@>L{DY2Whg)Fz8tFna1>ekA}ME_>bTP~b^a)+U;ac}YlN-`MJb$eBb_A_;p
z+PX(W_2KNG8a;()yY}$ft5Fb7{C<_rEU@*pMn*JMSYD=tj1-Vf-T~ZK-z97U61VKf
z)|&fk;W2&gZg$%;eO6V0Nc+!>71z2uW30!2zu!O~`DCLSgacoKGP3(5&DWJFyleC3
z(c(>~{rn8kv#i(2d`WTZIOF{14KUJkdI&5b3>J>~S07k&-aMqe|M|#c<sS4f_}hvR
zp~eC0C_>9;V>*_*U9trd5&}MkU;wWMOYLG7@#>-|pK%-ssq1iV3VI*RDs5n*%a+`=
za~8ePAl_k!Pu!HXmSGRpwilAaQn7?SkD>HtwT4>+c1^RN+x`B)HGH8UZue_{e}5At
zY6pcY0ztQEMDKOJ>4$Mdc5I&+cF1*REnu-9NI&r4G^}rWf0_U${}eQJ=is4+wA1x}
zKH@T^X1`><C_+CRS1*A|ewh9NURru{hUDG(f1gWIhuRG*!b_!K@P&O4uwxq+p|I&@
zpo+3UPc67!CQT-wI9qic?EU!lt3IKZpbhc0up!xo*o=^UbZ-3``(z-~;U$MIxCeOE
zi_VOB34YHPkMA0|ccrX1)5see+m98N_>5Whq6&r*uW&ICUPJZfB2L}#L(oB6aV6@G
z+l?4m!h!7DK)twF6WT!gw0&%F&*AWCrQC>OHm>uj!Q<@doo9Aa(zk9QlWiQPb#AIe
zbimPM4EbF^(UA8(elzCqh0j+j)_22q;Mq(45--aH7TKUxj0rE&_2zcJvmZd-f1hcv
zi&9+M+BIkRBWRt<aFN=tTJcI2zT+Y_l|7rc2T!dW%rd;>GM>r#d<aYqMAZD%5Z7}r
zOy#6K0UV~l@u>~rfWx(k+=k8F*FV3MP=S@5Y=m$Qhg^G-+A#v68G$((ADEEPY|O}0
z{O|pF!3v|p%$$Y$rVu3hyyPk12d&)m_)8d>=I>Uoq1w7qc0}pZsQxkk^?wQk6(+#-
z&jjEu{}FVLU?8cF1h>HZ4Ysm1nNuWaOhQ5;#CKDNbU3G!^ww8}@)Zy1{Z8kT_#fxk
zvG#U%&{C^_-Lc}1yUh@TEFMCaUEL`>4iES-^$ZL{!u>>8rX{_0g@>4)>m^scN{66<
za3zxr_MT(V8O7m8%FbN*kimvS`tz-6_fJTDV}XsuyYb>H6ExN1^mbl$J~`!WwAPlb
z;E05^y2ztQtC2-vDVIy?Fxw*00I8L(=os1lu4(%`9gM80XB|{$=BU3SvB-vdOL?I|
zQ&>ZKhMwO>CeHYH#@&<tqrdZ`9@&@anVEEEzpid1tZ*4V2zzHnRA7W1TJM19L((f?
zs=5qnfvy1VR7(Fx9zTCVPT8e6B0a_Z)LN!=Ms~1O->z!*%(dKl+rQ@%?<^U`6o1VR
z5Yax8Wid_px3oP2$bdWm>+eXR$(mi;0@VHD5q->}tmqhX>(`ZQVFrGR^_xh`K`Hn3
z{E7DHGuXZ~(PS%oZQKWYioX&8(e7!A?O%|C5}LB%?2_FnzKd)rXN>9He+*}wytaID
zM2RUpcH5R)j(^E5ICt*K-mI4PGO&6+3e)L&TU$cfH{y^pA1?3@L^x5+|EoowYM@BK
zM`8EmPHzD_{LrfuxSTcJ&N+Jvw-uqRslbs@zLNBO{aLB(X*JQJ!(4R9H{%Ue%HAwq
zFQ(<uGk@Hq`3i_+2+b~kD_nl8xO6iOQ-~2Q?0UH9w!Z0t?>56@CmTM>XO|6j0#uJQ
zHlGj^q`EB=%;sy-@-ME78q_O8aA4y{JZbw&;88k1XYzilFF(p;3`zXNe8-H;n-dC>
zIvMS>LPMXQ@(tYvoIp4Sq}%>7*Hz+_cMwL4dmnD2qB`jtI%9VV7m7-v64UD|sbL%~
z;hbum+HFq&DCIHiIfmRq87yz=6vA76lwDXE0=bh7lWq_wT(wXOUOd^4E$Op?6hRmL
zSK`EreUEs0S#alz0<57_kkez+{Lug($sh6Uj|~GV)|586e!N@YBrfvteUSDihrw%I
z2v2l~@=Y{hY6TAeeC_YMFW9@`pa|x+m9^Y#iQtO_r!9n2heN*_Dg_V6yzg&J-)f7d
zx4+mO#=iE`vUm&Df(5XdI_E2L@W}A^`EHx$k|QN)ukvum2G_<d%685GRQeRP@|FKp
zCI6Pjg*Bb~ZLu(gx`ZlH1xVc0SozRPfEkTV*+v|E+88pzOWT_|+3B0phK(w+(1+MF
zM7tW;pGrR9v+!{qoQm8{ftcLt+os4(<ylkET;;<+gU~Vy>%Jw0t{rtHi!0SHg^COt
zo*($-*yG$kd7$XX8_KS5$yS0f0<Q>T;VUAnVzLxz5S@D=`)gg_Jl_wVBNy%yVA_h>
zR#!GS%T`a}neU6@)UjCE&2E)c1qawv1zrT4H1n^?>6+`mQ!Y8t8+y{rug1*wmypZL
zS^gA^rvy(-sDupX1;@c%UC~q!VFUvMUI=WTV?PP5<(|Z}e}?g@(ZzI*aZE*gd?Yqq
zcPd11^KE35WFvXE)+e263V-aD*KF^XPCJohE>glhx`#vHeQS0i0Jy(q)f%!vEP*(x
z-g%MN{q~=HmpMfs^v7$D^m=KqGz8X$L2)CPCUfy*SyjJN@UBf3DKG1}W*%NJdG8N|
zKkPtC!jwj#Vxpk0Dq(KfCJoCUWA1ty)T^3TGw!4;$ZS7aw!-48GgtLKZTlcHZND^l
z{X^^Bex4~T-RQ!5s??MGsQJNr&cCM}10hugw%Ht3#ZwP0q;J8U_$Ix_O`G%doNI5}
z!JBrvGr=_`@W2Bp%N^0auGz0tfQ6GWlo<3@`nf_1@}<x=nQU*0Kk4P)VyZD_@|!eS
zr`99bXvU*Fu1dOe^##2IKsNDoO8^XSXr@#T-~ee5%!K%9K?ZBn3#_<LBC+Y%5xjr^
zvTKHT$>^~Hd<&JqLaZ~6wLA+~{c{LiHtF(>Rm8`O5c$gzym8t>uT@V(jN2%5-qLZr
z)OlQ8a-vggA7wI7z(ULBTlIvE>Go0NJr$;CWW4*mF`DvXU(beHE+w}-;lp!&ei=t2
z-<gZj@BjJDBJZ`HldtENP3bZR&%Qtha`DS89q#UJIfe?LNuQW3OL>Ea=rrp9L9;^Y
z4q!2kQ=DgboIDGZfHy!>E+966Vc<GuvLmoF_9Gq(+<L_~)0j-AI*GM2oFo*Of^dXP
z09fIecJ;TCCVi>_#m=a!+APFJjagrdBb@nZe(=Yq%V=#wd=nHl0&e(lz{EXZtUZ;Z
z3AvcI#48(JUfL~G_6v{S$I9PuO>w=Lrt375BWxgXmb{*SrM}z52W1?Rm(P^Cr`#KL
z+0r}efj4{8*k?ykdjAG17<sr`INc1Je5oLV^-`VcwO3GnJYO!`%c0V7S7*3B{099d
zGn+M(+cCG5J5x9dH!>~QLJj;K*7*Flm58MfaO%n=39qKGd!QOVL0j9lw1gE(99YQ8
zp9XGWaLj@yl-q-&gz|%%+5uZ5Y+~D4ZARzQB13H_dwYu8R~w~&JK317UAq>)E?@8L
zXEsKRq`@Q}i0lGjihj!K>Y*MF-PM#B9j?>miVt&-a`UuSG2cxXO%ZpL)><mQ^!r5)
z+wGl{%P{we15`&!XV*?I+N`$nxFS0f`}OvjAU=r)JxHl{OIAxB3Yo<MQH`2aZl=#n
zH+*6P)bABsV{3MaA1vB?M1QG7k-Nuw!lg3e%`Li|ny~f*V2VwL8GGRJl<sQbC|n<j
zYeb7TuQck6)9;l3+iyR(hMO1rMkL=z6ZDcS<ov}JWC$M)C5slot!$)70pVei#Tz*{
z7b8W!IP(Y>vhxC;3IEHAFYfHpt;u`&+cd4qgEE{Wsp*u?r00V!STu<32D)tNOtP)&
zy@_s>7uh-TADh<F6E6<(I8dwknb_w$dAI3d6BTGL;@g8(gF;bM7m?pW_q8A;cE=9;
z!O|zzsv^&6FI5hhq$Z-}lm!*lVt9m1D6r(1zN0}x4zY6CUk#|!qEgMwvjopO5CNL5
zp|d~7ibkgUekvUJB5e7|FV5^;Otw%JR&p~+F*}yK19v71WdgMH_}P(hF4Ad2XlicG
z&T(fMv}|m>rd0t<JN0UrC!~dk+H5s#x8tfWZ@wu~*e1aMUL$rIwMNtMw^SwTcNlcs
zTI4sui}#Z1`7QQOI7IBSH6nmAo~(HixNhILlsh3t<_DL~xx6yvu8tCWv~9^H0f&|6
z&9|AHGfkFt8|Pz9cAF@%xRcI^n|||U<dE;7kW@Tv9x)T%JlY&f;6FYaA}RR|Soa+M
zVpj`cVzY#&qTF!ne9phx6{3|u0P~GRDgB<#Bf)aZ@8}Hwau0`VUi|7TS$MgIi7t30
z{aRx%C)}Qo>z8&HAGQwhi>W?DU%dAKiX^W>*Nc*PYvhxv&P>BG?yl*o9-gvGuuwb<
z!WeRf3ryZ_QsB1EL#I@GEWMa|fMF7dPaI~F40^@jIJr=6F4$TIfMg*x|BU3V1L%rH
z7pquoiFeN^7M?L5d$8=FLA6FhXx)*5X13jSO=bbGJI*yPMge_p?9qEZeFHSw?I9ml
zM&`kE`Es0Y>#e7_*HwR<=>O^=Fmfv)vA<g-R_0qs4*p6cHGWr&y3BT$<CreHc}Q0K
zq{yFp))~fDHQX?Cu$!aq-)_Oz2*45?(EfA7EmxXK%0QP7em`2{c$rEQnK}x3o&xi&
zAK%_Z<X|30_8I8zq4mh(vSBm^2_+cu3o4eqGbtZ0k}FWK*Zv&be11&C+3&SzdDVXA
zps&yofvvKk+!4f)myNB)kA4jXdBKb;zV!UOQ&$4pUyjjZlSzQhkcOSOG&r{GJ$m(%
z1#wryI>B1jxBv5JrRhjwpG#mx*(kA+aT^pFMpM0g{7bN8kwdTe9aF?my;Vip2fuLl
zfqO;d({xKn3>1&JIHsp(9ls;fHuB81Z@)&Z&KOqpFI$Vhn5&?ql=QWtE0%q6IwRF{
z7KM&98nwW(EFw0Q2N!^5cus#zPaia|ZpYIxVdB4p*Dz*^wc2?5Z<uGEn^<9IRzH+G
zNHJpy107w9w+*Mw2!6I1_nh(66N*PjohX!eBxB|OR+I}Pr74lMdGH%R^v1E~KdRoh
zfA$o$vv8Rh*a5o{?f>io=f$B;#XIm`PtZUQQUyL7F^Z*TeOzdg{L!xzo@2N5j^X_U
z?CQ?9QGA$w+OS&V(XvaNm2Y>yCGL+??c%AA|EUF=*PfXxH{Yn17B$7@5*KB2h2ZXR
ztJBsxF{Vx5I158<@WE};KlAGr7$>8-{G@Zk(;{=ooZiDwezvUJ#I<0uanmozEhqFO
zi=!R1JCCwplbl<hftha}<|BiDT^j!OJhEyC9~ue444o^)w@JfQ@Q(kwG#Xmkp}_5u
zPts)D<IO5o8rz|li5Kk%_UT|`F=>j$g-WeW|3K<;vHfk$?3;l=Sbo0ZKTZFT)Xz+|
z0lbt*PT1vDJTr?4fO@3Ryche}@O)Qa*M#$Au5+?i3nq<5cv^Yj0e7kPVrJ{<UCCDD
zYiF;1%GSZR<#kB=U&+px_JdDJ7d3lk&OB<X+Z<|^I{`+9Vj{BhS0Dy9!Y7vdX&vK4
zbm5N_>G7UNE@vr<j`x0FJZZMp-q=Evl|Ai&2JaQvcX64OW`o>RV8`=&_yPKyU7+>K
z-){#`bY$i<{$V`3D`YFA6E*)ctKnkiZ{V`zxny%#LPB0JC`I89ZY#z}JHr%+VSE`)
zZug#jPg^TyQEvG@9(jkm$R#=h--6p8^T8x$Yu1Xe{KhnliJdI}^j`ueITY(-E#8oi
zd1(DF6gOgjda*Q0jfAJ*=w+CTl&hhenwMD$7ob8A&I9ep^}b_Xa#*(Nl+u!yckBGn
z-bV^C0mUPKt;)(TFw~3wV%eMKUj*zA|F$j*fMSDv^{f%t8^5q-1U~tG5sSk(h`VwR
zk<1!dfN_R+W<(Bg$NJt7&5-bNPvbJM(Xq-iuBR7r{aZZWogqGw*f57jLk=UEZl)j1
zal_`1q%rl2jo|(3X70etuxs9EL1Lw$zbKp${RMdF7=e5rWsug_%t0Y|m%`bI6W87`
z_dGrn{!d`Ios{K4gLbm;{Fg;`&wTC9RC&2{P9cjZv(~rXO{Oi5LiTTM+(jrA4dvy4
z$vYYD#D0hy#=;n6*Ar3iojg1}!zuaTu~)-W%?L-6q>4=|m$glfEiatz;5mBq$E$SP
z6@{%$1<m+`8RqrSbM$1=Ql@IX)oi?@{HM29zJIq89Cd{uH|2x^>eg{O`E{e<(eE9r
zMEIZrwgKkV-B87cg8i+<yZTvEdM~AiE&*X-<B-`Z7%LMf+3&ua`Mi{N03##gS@;6?
zxBMX*EzG(XoK^r{esB4McX-y>X35&?qK<1_P(~9ARlujGnchVvF;dBo*P;{EQ%ShQ
z)q4|^BWonC;Z*0p1rnyoOWS9PZru0RBKY#ucAq;QCn7bq=DQg=(Ucn|Szo3iYULU)
zR<r25@NdiuhM93u=q@Xp8ou<FPeUPL?kB*ZrP{td$6|+7%oH6-%OL{CTp=L%Mh2((
z+V`BTTlCj*YG`C6cU4oVi&H2=Cgv77n3XZ4Fdaz_%SG2)5!xx+nLQA0RT>B$Nr8DU
zGQwr>in{Om(xWrbcKGo06=FTAHX&D2Y27YQuke5TCd~rH#*e4GZ3SKs3_{KYf$ih~
zJg8|O=5Q!5*5e3ZdR;8)l+ayzLtlCNdg!^>`X95u=Ch>ZOedZY_@fBALPCaQ1^7ZT
zmb8aKRfy2ZzxB56LZj>CE8lBa8L<O*4?$~R$@xX!l_w|P0SJYH@(G;Z(3IA$9~&lc
zU5oDxum=J9sQX%7iSYM7zm}~87L?>9u5-(;4&juE<O-BEwiNn4^J?+>qREJ|P{QEF
zJwInO9GA)F4$*U(36)KZOk51R_wV1ITnR@dT@vMpBm^7B30NoV-9t`D+6wtTD1C9r
zpbWh^35+U&)QgdKT##cIVx)Ua8%0J=7~xmHcEC@%{pk<?u=u@qdF8u}P>j{A2=&3f
z-Y2Jh=@!5f<f4-w_(XD6dSx2C;je!6i@hVm(7?d;FZOQ7)KWB*36<qSsW_%z)q@Q{
zJtm+S@ZpV@^qyI*^v+L?WR&@gXq@kzzg<?f635_R-n?Ffu3rAL%@0Vgt5NnXgnXb6
z;8(EXPdhuN{MI4t#_L5#RPR9WNV=?L_%|5=R3tzOA`)`AY$#KNzYx824`N&0QrgPm
zu%g3Vwz#TU2-P(h;?Qcsy#j`BQ~iQSeAM+Eh^4Esm^I-{UKLNjNgcf%BYer?%M&lp
zRm3xaa3>JqJzIYh?eEbor1wo%PgmMl9Vo1^pwPv}p5B`~Zr@$#q`#o>m5t|0HB-aB
zi=1M7Kh|AcBRbq(F#=g|*vn5He7EgY04)V!1d#{z`6A;H>a?yrt6FTs6l?+jM^=p7
zn6*=KRi6prGf`<i9t$9hFEm2~r4#F9=AGl?9uFQ=k>Lf%54C#Nn``a>bjMz~$SjKh
zwddB~dR0xS5(Q2nvjQK@cfg`UR>#350};yd??yt9$KK_nf>U3yo|;Yd&+&u^?vOoy
zqpJR;@f=JZ_7*B(<4Pnkx@3*oe0^lnzx2xJ<VACm!4m26Tk|<sIL$U=#q@k>(gNfW
zqPW?8fy%{XBSQqR7j0gD+6{Cku9mwGwFQP>gxPw1H##W_%bf#$dLhzIpR{?er18D|
zr6W5h(A7LgLPWF7i|P4II~dNznt|vXZBla^kFZT73D{C~<H2e>2#Mm&6-onNb-oy0
z$7o4SPj6bS0li8HNSD|s^`))l*)3#!El1N+V7v-_c5T})s2-lR`&KDP^0DP%u;$h#
zU?)X`OZH_{cIp+Wp?cAu8Jh%w^^$gC2$qAu^96^S@6tSJ7tIB*DTnWf1v|yux^EVD
zc1GiT7`y%gt?i^!=#^%d5FC=upTWOJnms!W%2yJE8Ujab*Y?=hd7=hBpJ#5PYH5hk
zV#jAAC<FIgV!rSTqir>6tI=p^{yX${3f#EQ%6PDwv95lBm)6VqR*;G;nMtDKPK&w=
z$7>SyZJMdK#QL&3Uk*P}eu{L@#xqBG*4^u28uQc1wM~n<a_DIUdvJC6s3z;t^7gg@
zioHMXIXTcSjL^eb&yK2Td&iT^MI_{|`m$Is<TsEYAlyB-Eq74U9J)?m_b*ka8bq$s
zx4on9d~p@^&)?Y<mEF>WI(qti-lhD=i8WDY>^{ZWAd;M;S1_Q-;NZeaqCiE{!!ufx
zzT4SeGN`_FD{nicj-gRvHB<27WmP=RC1(`KaX|63Xj^f_jkp_6Ujzy2s-QN#+e7#Y
zumcwsZNrg^g$_Q0+cD-591^EISv?Gh7XmoOr^>R(cSb39!q~#zxkwzaesiV-992Hj
z{4ZZ&iGl7W1xfsQz~`QwD~e((XBOC8ZqJ&I7xxdpW204W?7!c6^ZgcjRi(l^CK>Lu
zP0br0(Z}3D4iK#6dat{Z9Sta7#%)i;UGHh9$AR;z9Kx-OCkvYbLgJVIxVD=W9hI@7
zWO(@bI*-<a9iYM0z&l(g(+}&~Dp=SsXu99)LEpaRCQ1v%YtGuR{z&A-0|oDdv~=`r
ze&1=h2_!T3d$2HIFI5GNb8`&YlnLBQCYm<is!06r^b!E!D!!*{iX#NX9(Nxnt7*`d
ztn*SX4A(zB*6tq9=x1D0cnN>IRovvG>__2xihn`RzgX;X?1$4E@WN$*_zvQ6k2MC&
z<)%QrbSZ~T*;Fa(dKQm?`!24lIWW@;ZXuK{MpKUaYX^sa#|?%{Z!%meyq?PtuXZ7=
z_EGYt?=g--EVibRyD4ol7-~q?98q&t`hA%bj+gMncNKyn6ZY;$pnLQ#@ty*kN|q8!
zWF!8{$kD9A%8Kx`Nq~~-@ok?-js?e`iN20KFHT&$FZ-me@2t9z<4htIz29ig*><XS
zLcdL2*(o(gPaS1qv#PoWgJ(}dRI{jq#nQ_>tQWKiC%5_ddc}D4r#ip7+El6OfB)IY
zb#h)&>Ym0unNl;&cOwas`d#2=nds@K{yEdQkxy99{N`F;0pn&ikt=*_$WTw^L%tQ9
zt?Ou+8++T4j3qzZG!<<|9qn`kW*ASf?9vd%F{Sj$8e55TIW_dYF-*z)qAEA*Ji(Q3
z2k8hQycrFcq&#o+J$=U)ce7x<1fLiOcXpr`ZEuq{WDN>g0T8Xpqfg_~jrlZ<Z$d+W
z(4G|D(=e8fb!5cg5FIRdv!HBa2vN`tqR$#XX$9_+>%X=Y&N^`$u9BC?SlTSQ-r@;;
z_`{^M_%Q?j_w<fp+F)@vA0-O~15f<R;pdqgxk*E;J@oH+)bK#y#<B$3Ex0=##$`ji
zu;IIK98{!&?@m$Z-Uxp8dtJ|RSp4=ZBwqaa+-q1tu0Z=_Y~riHO1wGBZlX(56n5-<
z?Bs6#1Xnnv{QBm3SPr{V^C&Q7%Deu^ti^zsv?=O>`L5`QVhk&at2<FjM&IxN^E!kB
zG=$RxQuLh^nf>&rp7xd<e&Xt<GgPqV>T?3`i)hAQq|^3Knh;t7+{ngs>iF@xwt}nT
z3PJ5>b<betiX9jexvfxB8IxUJJh3Ppzc25M?WiIBzI;i<f)Mw%8t+l9j#t?7a%*nt
zyBIBr@h}$c^KHvr)X)DG`%PoI`6WE}powk!69J>F$27F#LOewcIsi^Bil4wsSpFk=
zFx?mTb7uK_lBBjNFx-~jwU>P0lz+Ds?wdTCOGm>+ZNS>I(=RQfm^R|k{(&v{GZwx)
z$@gT}8R9#q72(`iT6Xs-Ca7?>gIB5|&g2nlcuF?ZHH0;%nUIwsvoI~}=a(>`Wr7t?
zJl#JuC@gFkPcsaUmjiDc`~7l%%E0WW#-oFAp?X1>KEDXe5qc#)+W51^gKVq|8Nk5e
zZ?EccE9}7BGZuflXQc3s%bQEMAxPR~?)b4$J!0Aa9gh3CK9i|L`v*6L5Fo={0+pzv
zqzF8LJ9?+Urd@}-(f$WcZrHf-@fqZ1i~JH*G@n4v(zm0~>N6|{n)72|`oJBo-r&Sv
zrr*$-n1JGOHFdqK(M?#)>~tC5EcX-oo&rYlNiqHo+uOhrTp03nTlLS9H?GVxr8AMa
zx*t<TO?%(3bEC;V;fhI&7#rnosx@uiw0!~#yZF@Ua<Q;MF-ZH!I3~X%>r>2h<IxJC
zFve70$%B)J4?6v0iU+Rg)wxa0<?m^#JC9vSu@7K5bel`->Zib}?e<43MwPL_Z2q@K
z4!d800buHFO}9&==W2vlGs@CguW#4BtCXSw{ax+a8veIOa<OSJ(F_a)*jSAZ1uHx9
z;wkoGB@g$go*Tg-)fUzVTxxK9p$PVK^1}oj7pZPY_OFW5_NNVXq~7jr7!dtDSerNG
zR6DJpdB@di4f=B`cz$Xh@99O&(+O=KI&h`(@QA%|nqT_#Y59STxbIo7px<#r@2@Su
z(02)Yw-B&ZhF?896_-v!uic0Vg=pTnxC*0fetb1V*EWbDx3QGl1zkZ%{VJDsV(7KP
zE>T<EDP7#X#8Z;3tYwGeCo#-Igs{&w;FJupV3@PKMXq@$X6-PM^5z7^E`d#bBXF)}
zn2#))ei0L<KX(b;^uPZKHA6HN2TE^l#N_$-lYf}c`<xh7M)&-E1n>Bb%zZ0rYm}>_
z>-OYqJ%rzJ%Rd&xQBe0oSwhZ8{@U2Ltt*Oy$<mA8>%W}&{;A}LcQ&Ayr(D`?d|Td}
zVU(F;K{J0t)%?(uH(QqCi_^*|IzO8nY{eql9~(Mafo5LjS$dam__M#(`ckA|#NTv3
zggwR429aqWq{=XL8je(rtrMvR0VWm*aV{$xp0qB$nns6Rg0Jtdi#<1Q9&#|3W)pYK
z?_hN<x?{u@iMGIJD_6V?hE(thzBaHbS}N>j+<w2%u{G@ae<fa|i?sVCJirZtxOIg?
zX{`wY{(YK^7m<A}tzEo-qppYe(DaQlr?+Gd6%GbB<p&ea)zJ<s>22EBmUA5oiE9_h
z;fRj7;~Y`>rT;31sf^=dNjR9lU{IosK9hss8-z_0b*8`f;K^IW7zhL=SybrN&4si~
zR140XAv!OzvL$hageADsp!dkf?vYABM8s12_@W?r&2B~C8=~|<EaQxnYL6MaFS-Sm
zSz%Ti*RSuma?}>9$CDpf7$^81o(m5*joDX39N!D?j&lO{e`B$uJQxG*&$q*Vq9And
zEVNZXyXwdyF4!+jo&eXSrKO9(yDZ*3!=gC!PzZJwq)Q-TvmtuYw7&@M3x6P`ro@R3
zmqaP&rI7YmW;4e8CmDxoWs;jT&7;gF{7yAp>pm}J<9mOEk`jz+I?@>9$>kAwWK#a7
zLAG9><kBmuWdhySb_=I}@@K~d8{-)i%goNjqgULqzJ4c&-0QDuOH?l7R;kNJukWO^
z>xgw`HtqdpHdZ(GCW;R{x<r1jq+rOYhQ5~#R~AgS(w^O4(>eG9H(4ODn*@ts&p^Z2
zAJqMvlv|GlM|3zmS*T{R3{xgUHTR|Hq5{Z&Btd^TI3GBulEAVIsdK@4aSvs6MM0r1
z#hLl2vA1Fec5Pn2OOf^69wI~@4ZB6-se1)ZU&ACR5yy-}>o}<Y4^!^}&Sl^J0c+pd
zC>63PSvMKk4T`L!>`_*>g!0R(G&E$DO@pZHvUepjgtAw*?41<v=j*xu@B4Nf&+#0`
z-EjSW*L9uW^Zcyyq10H*dvtvgz`gM<XO2oHh>d==iAsLpQcrO%JYcu$W!eS+P#KBM
zpON?u#Cwtx^_px)BmB#vq=}I9DZX&}B-`(ApIV8<Zj&a-b*OFr_+?oJ`)cI<g}RU7
zgjdG%-@5A*gm+!uzr=P=IRWtzAT9~Jzv84e-AGtO5GNCh`pc0zmk*th_5Tqn{JkR*
zb7+>?U}{M-cXxQ@yN1x?Ez#EJ$csiuZ0v_<L3Mb89NJ~Y=w}0)F+n%+kJJ^Y|BZ0I
zJgWVZJSRIdpa-mgno4EcCT(CYt4VBl#BGul@Z-BHxPEc7(QNrEA;$6EEUn022$$sl
zb;GaU<!-)PDwce=+<#WPLVI&Gb>xeSm4tPat>o3ujT9=^5FjpLAM5qLb*bq|dqCb0
zH<Uqt;ohY-Y`U>U&zNNMb<t(N>lIR#D(dS%`EQhkOy@22Rsy`6@@?J|gpW`~!bq`|
z$sY#q77-Pn_Pr&?*3G#XPPQM_lCqz&68sHo$rHrdD7bkchf?KC!E)zFm#<h)<K1>W
zXAU@=i2Q|^w^S~!#?3+I8nfR9ud0P?iRy!r<@z_bMAuZWFctDK`Wa=KC1MKE)jF!V
zvg465>lr+%)qk`?VXFYW+ZvdLkB<8>D2XVH^aYvZHRC~*z;V(S!0<l0n~UF5ye!62
z#J=UKt|k?$Y9Q6{l(U-S0pFG1nDO`-Q_#P}Y52Uy%*6p)smSMC1Es+Ripz3#w%bCo
zJ5~+{C&l2F?b>kS7W6arVPbaS&~}8T?4PoHT)W@c7^@`y$jpy4siWWJ!4WU!ci-Tf
zAdpt>!k45zecU2gjst>d<#w2~zqH=@@|jKK7<?XFM~*aqKDB!Fqwx|n;L7HFP9%+d
zoh$Yvxf<9q5n4)jwXU71KtWcnET|ze4!}&ih-^j`VwJuyS0Ve#E@IuJJZ8j)Vzrg~
z({EleXvC3qV<k#_8y4Ds6R7}*UA4Um4<K<d5G=jM8_!ns8Jse-i?<>-@&H?Hv>PFB
z8*O;-tM}!CQI(26yH}KtzpHwsf9=)CZB=2r25SAmHQk2kHz)w<V!;(>)@Bg%E}wi*
z)Q>Rxu0lInJ(-)yCz`wuz+%0Rve0pjCC7(J=#8#ilgXr>`*S#?NyMTRv_B-T2gkDc
zt-X+yvf|$pzQa5_LMUID(>Ms#qtt-s<|&qpABO>Ws=PU1&>iMg;y9CjHL0lQ17W$`
zqj^tN&#xBR@Sccnb1-?SdV;t^>B?Vh*!Yr|lFGr&MCoOT|I}fN;8Y)VsL<&Wl(N)K
z{U0WKs);V-_GbROb$Qnusx~kE!2uHd=zqmXx(SyOQy_?QE%QqlGA1o28b(fv2;g^*
z9;aRI@|s?}<q_=LRAga9y?vJMnjRJ}@RT@g;4isw{*O;-MkGAQ?Z?0(_8w>4r?dNj
zzod)xaAOj5<7=Yd0wv`hIM-|NltY03tpyv6!}iCubEb-l<s5zw+nG48c>9BaFGpeJ
zK_$HWsR+RdQ02v|8a$&6?DISF4H@Zav2XZHPK~I!jJ19r6>7<ef4z7U2c0xOeVuz8
zc6cfi@kE=@_k7x@6ANZk4jPES!ht_3f$ew(7@~jFXIPr{l3D(Pthvev`pToT8CrM<
z2I^&Y*ya8LTUiO{&05zTF!~K~rAgJ}P!#X!k5DAn(#Z3a|J9dK-D3|dPFsvz+=gC6
z_K%HUzWBAQ_5$?_yQpjsX-6V<`XHqhzf(PyeyNt3q>@0d^SzNWX@>q|V)}W;(2%6F
zjO!J$tpEw+@?l?@&IiuI8K`pDA5XY}k?W5QXsUg!HbQdZ(jYBg)X3Tct>u?p5}3ek
z)2SOCPwmI#U>EL375x)w=02H10n2iWFclD>xktnT0EOxq_jAW`P7g93x!g^c)D*#`
z+9znp+m8{lx-6wq?w+9jRsJ}gG?U;*E(qR2EmMqqU_!jofjKxd1)+(`_)p)_9R{P_
zzA+DI!?VoQ_}Bi4wIMA+PlR0NvtYwZ$pFnhY*l)tdtaqTjbRW=-mR-jZN5IgnX`Q&
z5e#M(@b8i+XHUaZww6vMK(F+~uE9%<>6R0cN7uK|QdFV+t&UbGIg;@@{Eqyiix2sx
zP1(gaIZBsK$=JE(qKF(R+d|&aqwYb3Kh}78Tfgb~43rv8Nj8%wTbVQ&@0eAZbuIUz
z&r&f`#f~LACs)RfBDnVM<^P>;3m$!cQeojFS;5o5%4Tvxi}l4@jhIsJT8`x!<Lt}F
zjNHaVLz4Sp1s9<d1~k1yB^$0MtZ>OC2K6a)Q568l_`zE{w~#T@Z+5(+&A<jU{?So#
z4&h6`e(;QjoE&C}yb$sxaUR(h$Q4L!Sb4gkXCDZdf#9Hemp|M&u7|%t-RkNGnRR$^
z4NkXKNxzK;|03{$xDE6NkF~cKc^N~MGOBS;6^+-&pa__Sy-%_o%IzB{uV_fi`7Cx(
zFXAD3)tm7&%*tD?TGIIs5nC1!w9A`<{OZ~@;8O!8Q02rwC8~K>bh%tE-{878mS?_+
zPg(CZihcTL?jCC#HMGpkd8Pj0%|ya_|9s)fvK#IH1ow*1vEz&fIFxT1&D;IVP40bo
z2Qt5qi6y%=Det1N^YF2%Qnv(8&#AN_hS<YR0!fE@v||-%DiBE4&`U&k12s{+(MOwJ
zj8K^PrD+(fRlhjkO^m(x=`Jcw$tFCXLFjX|VPRWT{1Wkisfj+S>~pb1;Q~hHaPFhO
z!&l2u=g}GF(Oj)RN5rEy2QzUU$}_k3f#FdZs3Qsb%H01LG)d?mv4r{3NiU+hSj3ts
zE`WTQCtj-h$wA{Bp3nNB3W-8co=ku6yjbE#hEf=HKX8qF&3Ch_p`&bjd{=K3!75P&
z8fK1OdmttO>ycDpxHt#`=H~qlw4cSji>@bjnwbH_zAscqd^*KJ)Uz{B)g$Nw#7Fw~
z7)Q_@&Wg-F#D6L&C@MasMREt#1Qy3}6F`M5d}^e?HEagd60<iwZu2N07IjjOH14Ua
z-sYLPIng~y@Gt-AcB|u3Je4mfmKEyRNpt%by3<O`WYv;X>Y~Vpwu}&pRgKWXGbs~a
z+C=pj=Yj&|Sxv$Why5+Qnr{7(7*M>_4MVuxlB^ODs&7rV%YH+_<M%*`b>s>GH=l($
zOnIOa*gPb|HUHN>T*|>N!bb}SAPx?u1aT_SnmT<iOCtB&N3b+m;?SUjj^=2x{Rii>
z+-~2R!VSr!|ITf}9+KvTg%Bv(bc7p06UcDaDB-r>uK?3;hT9zcWe`lu1Erx;#SxY&
zrQjLN0C#bp>~R!w2vD&9hxYtd14z$Rd!G@T8HVKHX)g}^P^xTYG)}R|ldc<(Y3{$v
z8EC$;`-xG*@>3{ebDiz~_=$x94T#!x@Jw-|M=3nL<!B0y%+lAhXOTV4oT}m9GJAhR
zUtf;0C;%r`8U_<OEGzg+90<d%m~T}-F-ci9JOeRsDktkrS3|xRey;Ssj)`9oOAvR3
zc(t&hLW&G_Ug#lUWau5~%6k&lv(PMk0U|vuGnQP4KH$IkWN7xdTiNE8en6O<6caD~
zK}k26bCQqR4tk9qu^W-5%73_V!_}YPlptcVACcDEYv{e66k4K6brF#6M0X@J{V(Nb
zZVzL@g#z3Qy43yWuQ>PJWl1Yg5Ld%iE|r_!nBB{KSFF3IL=+9T{39QabY-<YCy6hF
zy59G3O^VyRPlT5FJH_1Cn|KP?l(&}`ENO^8xSv3D7ma(ZFu>E&)6<WXEsQh?mYPI3
zPT^C|EMr3%PP_F(pkoNC?nW=P`&IV!r?&+0pM6%;3=8;8o0xGNcy-11eV1G;iJH~x
z2a3YSn1W`A0K)NQbw>`XLt{55zh@=Rk(%sZHh0RftUHdF28R~cqwbnmys8Vr@xCfS
z9b2k=m}=*<OW9~xQno!JTdg*yk3s+is--W^3pN?t{}7|vvHDjJp|7psnlXIJs>`j=
zSEIS+3WtbFu6jGC%?{%$745E1qFF`?HSxLZq@;<L%CWapM$CSVqb3BpWXEQ#`m@f=
z6Y)#`hVN0Z-9-BiJ%|#<*Xlu<8MFPq$3^6_z_yW>QhBfg2FV=H=|+8ru*fB!8OfpC
z*%eD%iL``=*Y|8k(=cc$VexJ>zc)=JFl1L!Hchx7&O-TGb=qu<D@veCSz0c9EB=i4
zA=}OnfBEQfZ6R&zu)3K1*@#Tl`DaB|ZPG8GuNjz-GA9yW>nJb+LEUa_YcFeDxC8)E
z<#IO;2j<h!>8*I3`oY9=`-?dClw?+W4_Qq%qp_2j-buhW**_}-BHQRuZSx+%5>C!G
z3D?Qzi=KU)LkE7i`j%sp4YeZto(1L#(`%&uq9v*0-a9mLxi(scKWy;M9wUDuUptm+
zFVDcaLI@zITA51~2A%8yMJcmy12tvCvzms}9vf{A=*o-^Y&3r-DHAMqhlsZ*UcG#O
zJDO2Ju#lZc%dZx+7WJ9>5xE*kM8hvGSwigppZuMwb}HK<16kSc?8b|WhZqZ6>*N=}
z<q!PUG&nL}y&t3BCHrW_En=tmjx&W=fK*wUlHBGRUpp`%G!?03X)KUnrr0ylxDbQ-
z^%VLp=sJu}eP`dI^~a4E{ISDqCq~c~NUl%{x&xL<AMdx>%&Nx*3_9*iSbTJRu@hHG
zR~RJ65fRahBO~7l`?#D~c#`b<MtJmcd9CGE6U5hXLd(wGrS<Ul_ayzM%(yq?A>7Hr
zc*l9H^*lX#bqJQ;+eLE(s%0u|&sq4ka$2^daF2kXS_}J$@I4`V8w?s=ulF1HiY(ER
zzH2{oGWR<dX)IL1u*V7__y<p_A_gq7jJ!U@m@M@5;V(PSxQ{GP@%;5;6B$&%3y<%@
zPP@(GSvF1M0e3$=hH9Bt3kV1W1obN@L10TMI8f=<m?q+2JmY@pOX$VvZ5%km><vSb
z36ELRFcXH}wl04M;?hI;g+?{Vu!iPBZW==Y#El9D!XOlmx(5Pbd5v3ch%WN)^X_N%
zR6hrn3G=g-k+fOO95$7#Vf9IoTf^TgFL!#>G=7ry>=2T;yd3A=kslhXIO;HBK$Y)3
z&St6c6D7S8jHC6)=OhSCtAMiLd=j&e%?{q!eBGKoHCeeSL}34#POZtAnZuvg&SJgP
zl`wd<2<Q&SO~pYL7K!IVhrpyi#RDHfRZeQvJGJ8T7|!X&JfIcJ;=3#Z=qyg77O?V5
zLag<SF9zzGeF=}b^1F3^{IeLA5SGA856qu*Qw<6-4%@uoR?wa5w8HUo7BioY_*raz
z4B<1#MsF)x4zGe<AkMdV;#9(~=pT3n{W?x$zCZRiD0xI_D~oJ9=UIspj9ZP7u_K-F
z%e~}ddG0-j!I@1|K8!~3YbM?g_ifY7?Fzrkz(coG;j|$zcdp=dVH0tOoA;i7eda@c
zQRXfBAJg)<3$C2wW59cb9ed=f28P;m-b;8*f1BCmDv+?eES+)VO=;f{|4Tx#<MdMb
zbDREWL-rQ_s|l<27b<x{jhFKEiMof0OAQoCQ@uqJ8!c-DXI7-gA@e5-U3n|dW}l@Q
z%Gzm_l+1sc6Y*1FwBER3Lj{?P+v2~TWJ8+~Kk)R9$chzMGorL5o}uO+=!?l%qp2tk
zk9g*nHQ7M}Sy;TS318gbGoK#&Y?Ds6N|Qb5a9#B|hE?tfWd{OwpbLqJEBU?hW?c2B
zO|+OuW6?8Qb$G<UT(s1Jm&++8C;2bEE?-`;JOdT4DNgu;#=4QR-^|LUx<nP6cWvTo
z#Sa<m(S0-XGL5D6woqL2b^IX*x&^KLsWXr}yn;1q$L{Gogrr!J?YC6LM#t883dd4}
zpmAYd?CPhuCCa!f>G|p%*i@sx$8{4G<UFE#LSc<DANi2&zW9z>Uixx3)uxWmB5WN&
zl;6L5c<pXHucka^krO~ZSP;a>mCuiPtGwT_O^pv@L|;`%?fL^hPyN*^N?91`#URLy
z7)|j#F=#K9ymyu;3vuzoCs1CWW5VEo#wEC>9|Mqk-{-eEeEUY~lk%pkS_yKC*kBaX
zbS~53jL7U=U3Def6K)mF6@-aJ66}(SiaOx}MP<}hn5LmQy0x6hVSRkv7C!ag6K(vQ
z>C6*hbZcF^eu*b22R|7vpCoux6`?2vz>L^Lgi!EC6F;<t$M*0~@lzsNQ4=I}pk$27
zXTRNM;{GK%Q=)-@n)TSKJebO7T{Xu~?DDCQsgHYDBeto9N4MXBhsMr(=e?zszXu$a
zms3=_oNo<Q`HHZ-1oE<DcT(0_1mluLtz>V8e(8c%Yh*X^CyJI$kW;A16*mYL!R!WP
zUB_Y{$&PU6BS!$HPktpK)+EH7oSjO*!AWGKh2YtlN)ffwi~_?=`0WrP%GL7%F(BR~
z!DK4We7GkP_-+8sv%Fz4TywhXol=O<ng98{%DgEsV>ohP9EwJQADe++zVWNL@X^T~
zF&kD;$S>t?krLa8-Nk$aDM1<Q=%^x)B&~?Yj!sy8dHiMH<jam2=j^jqoi;nCW{|_5
zbjrbBFq)q|V@q6?9WzxY7x=IGm{U85V1!tjGAVGMkxdd1j_oJzRJ)t8uAv)aD8lN-
z#>cHT#%7^v<hb$NsKU{IptOe#?#xW*!qCzN6SiFDZR{u8MR=l>JdHd`A~#9cjJC$q
zzg3|}9P!uTH0(EHg>vQzNKz>o(jr&S?dR8_VPx1Vf??iCrd+r6=+Bl*&z_<+myn^y
z=b$Qf`Vuaxe098iv3vnoIya{1YgOUh41jX|RHff3tC+U6L;|~@N^P5v60Dd?coF>Q
zDerl9D}TAC*$wzg`FU&N2U&sGX7X(u#eo+rDwq~d3NfOYH~DH|zO-#|BvDrPUy(14
zib}wt__gYBBG)G=dT#r3ukDJ6dwsEoV-IH-Q}FB+y|a~G>Yv?{Bwwz`_jwo1hf0sy
zKXsB^Oeqc``=mKfKT#xmAM{PAAxh#U=_UX+LO=day(@c(c<;$tCGM1x?S$8c?XZ$8
zOb5D@Zoa+P5XG1sIh#U7Z2%oSQUzIZ-rV!{6g*VtVXRPS(c@}cl9PU{98HnRC*sC!
zK4sdR5gaI1#e~$Ns&L((vdZ8WRQMD@A{aEr;%h0^q^Me4jFzUT9QZ*bFAoKAlD6L0
z>Dq;b3dJ4D<eQ_-w_dETOds!m)s>!frSGhd-AsGoHDjajG{fuKRa^xL{q!skM%Set
zOw|??;K$LiD<SjYxb_fJ>)w~>F?Zd)vc|5ar$S_C4^<*j>;fmFYQ<{;77v3iCnQbB
zkH3`N@%8q;@Y^L(MJax>Z=&@(|NO1{7^i-PS=9YA+rIYK{tc!GKa99>nK$szY<LYy
za(~WX^uzDH_yP|RD+sn3=$tLLfUM|0fNqkh%YDWdbK7{pMA1|!qrL79g98vsmM)F)
zWimE2`{_3Y4dJ!t;ilb#Ve$#Qf-=7(k;fN^L2yd`x-<v<wy(!aMD*8C)qWTe>6U@Z
z=jna@tGZ&H`g2<pbJKY~N2M4Oh{L>>uxfqpb^9Tr?WrIrXAN7rVkgdbKE^DN8E2tf
zsVenesGIp;##i){Mov8I{yC75R>4-#k7Msj&o?XG%%yaLTo>)}DotAM!Yit``W|ow
zFb3)@I|-*OMtt7Xr#0j;tj!@_t=S>}%*jrYIL-8@mqfIW+gubyFgwYrU;Nd1+H?~Z
zUJyxi03gaX;d{%n*v9^~omgJ0m~P}@G(LuRlndya@S*_?q|Ua>G&vU)4dj^*^eiCD
zp92k)$JZyM_Rcpj>>vq>M5BPtkJhw7Ji(H#k;o5`)y#wcFC;_zJel{TpEik5Yvisu
z0?P><Q{rb97w<EI#RU*8#(7Uc^G0#{hdh*g+Tj-(4)*!#u2eo)x5qBZ=GTKy?<U$+
z7xQ&#fRw&%V4)J*I46eeeWaHNLTeG<qMb^hF@mjd`yT=th7Nya%j-F_tMpv!x(i@f
zpdIr-*uhRXaH>{z@Ehg3rf)c(Y2R@OhkBN?nnT@d#gmJa?=%wbQ^5_U)$Q)5CAG>0
zB+hQquity}*#wwo37JOde95v2z|W;RGDbmsA~dIhQX*e{P|!P)iHSwcZxv{n+zP3+
zC#R!=DRqX%5!%c$(cZ6S9C;<@{w;aT&4#Jwu=pj$4?n9lhoenP*jb|UwWuaf=Busi
zyx9Dp;L1p{sH1qs=GdT0N|f7<kwm=M<)}S;`*@EW(Ls{i#o?uMzFaeAxw3y3tfBe|
zw%Wkow*XpT(vwB)hdX(xsV?lUet+5EA>OpqU4o9sWDTzz*J94Gs5-`+_A|8|HtwvS
zgL_yGL_F@UfL}(LIOy<_2&-O6iksp^b0}o0{q|hN^i;vq(lx_{FUJKvQQb0kWq%if
z8qw+fp4J3y!SF@aV|91CNo3gnIoAQY)^JoGH~F1cUnVm?A#laXA7&#GtJx1+wR-|=
zLh&}FYQdtyj@@gbs!|XG^#)QhGS5OE`K2BI4&THE#GY%v%dFIv{)#cNVJFdt@31>4
zpp$x($iiqnuszTs+=qP3)Km5H%hM-D0_$gnBQsfgxZG-$BZNl!oBMaR4X*8$!8~n#
zOUnD!E!(I;TnO=5<c;=(Wj)Y|ETOZy$V-*l3ZgcqAO+`dCe!5F4V&fNpuk<Wsfz3@
zh7_21rnpQyRwm^3<@Vh$r#{n~-*Je+fVr(?D}Q1O!TSf8h0Xp^%_A4Xx~A?{%Hvq`
zQ|}znCPRA7K5oQdJD(jlim58qZalO!PFEU#t|x}Lk|W0&OGFkIrMXhRR~#63Ca&Ps
zh8K#}s$FMN1LFsCt(@e26+&^Onw!o~bUkz8CO?I$J8iAIM_)&4ORP~Lq{u>)PmYv9
zKSNr2X8SfKpRmT)WDVAR{<Mb!%6wpEgDvPg6VcWo{beAu*&Kaq-2LOLh%VLmbIL`;
z`w1^C>jkM7UClqK@TlM+)4h21!r;%dIv$Y&*K7)xVHh)mK6%$2z_XX%<L#<K0VBpD
zfe1~;OT;ZQjUJ~8idh5VHop-+`Czj*Ai*CTU7#$(9_<x6K8~;Sxdw?SUuC5SCMFy<
zds?4bfR-#gB5K3FjE977?6$jOyVO+4yFr-q=`p9P@So0ac)dUWvNCB;yF>)JpE|{-
ztu`Bw&5?9IC&v-6UYXU93b^dUBI=f^gLvHSW?bK6mFAS$)r~LK{*uEPDEeWRGz<hg
zM;)zJ-Lha+_ZW&LvLN0JGI}DeL9Y@3v_ugDRPPv@^eXk&UlCLmECGFcVZditrfkC+
z^uLvdXhAo@rvKR3<$B^Bx0<R<I_+2Tjl0zRUKJ@{kK&5!%4)9f3P7J#`pa#X1`Zu_
z{F7j2nd1i==T;#1tVaUEf3s4y@j2>>G?^~>KfyTl%Z!53K7qS7;oCTs?Ly|p=mF1P
zUegusgDIaRoDV)zeHXu(_FA3OC-i?2Oow?<Qx&kQf=%nawa3-Ed};pH3+LHR_*TEx
zPKo}{_e0ej#{2jB9ABWYmA^`xdu6bMg@Y77+qDVw>AOXJmAbFvMvD3#=T?h62x0U)
z^T(JEmC?6~*ta+D>b)mQI7qThb1POS0mZhex)>$nmT4uQv=pNy?zgdBb>`!2#sqv9
zVmad=>jD5UD(v&yBP1aBuDofxh>?1PpYwQoOP?*Kk76f~6!M)O3x>qsPGNaHD3zQF
zM^8{yN_DRf*-zG4!W(`&AE|M5_N*sI)tIJ6FymB`9<O@0<>~<AaK7mB|76%|ZHMAh
zI@0W-N3MO0ZR+EnwjOiGSTVoXdn*-dCOY?vx1>aUY9FlqCd74y3}ZEj>kxQJ(`S_g
zt=atpGqZDRrhrkEk>0zm(+k1qP7O`nI1H-rR8=ozym7{>_zKU@G$#JCguAjJ#)y>0
zaw3a26-&Sq>pHJNVESHQ+0RY*y64RGDEE4cFB{W7Ha%RZDycE&mvDHCK(j|o67_*D
z2yH4~AA;4{vh!)b^S%{%d6Ad~E~k;AW9uHw{#}isWL-XxB(HL=Zl>#3`&Rn2_`$i{
zOV5|iXrv|h-xK3}tOQEJE{ud)r&c-Wt5=L47RQkQ{+W`dXYUw~x2qD8Raiu7g&0Mx
z&8jjcnhg%P#ACrmIW)lhOIg-+n@mVxB0(&=XTE7pTXf_H@;To4lmFX?--)l?L+$wZ
z-HL1c%8DjlwVek}59P#?&J&)&X5lh0L47Ed)9p^RVfkD-F~G@%ug_WzBbkAi9)drC
zRysY5R*6ItmawrMs|0yL_G=HssU9a%Tch`Az<D4{dWthbNk^xdLoPnW93)r>qMH;k
z3s!f<h)vY}`4`vcDwgz02qKGyosLM%7YLidBY+I2)qOkn8QD_sb-Aufv1Ux(c9gw~
zy)$0Kwb}9E&#9~J<ij~=vz|B`R{tvf$(JW3jg*fobc@z?o)o8fwH&93!X&3Plg!vo
zRZsSv=YO(?SmWR7<LNm(iP*ft?I#-<T_{_uZ}s)<#`owZwD9tp-ufKFD==gwGNi?L
zM&Z;thcSQjk!Vm?+D130FVKH}AM2mHA<2p_qyN`=-Q3#nK@M#BI17Urj4~E7kPbYa
z>xGDfKg0U_JHFRLSPYW+KPvEso5FYhV_W!Ge>AWc2#F5J!UD`cBb$6gQDw;jpX5e-
z&h@3}t%fG5C$`P$jkyPMe)ae~KC3qe)i=Om3^)S}Zwwu+qivC;AME=bq0tp#hvUtA
z*G%0nowa;)ysr&_f`M>R4c+%Y3lns11k|Dus*_asYt#R9O~!QV)#q9)`J6Hb?1Cd+
z_|adyXY(H&q>|>A2c?!ix;b{FM`u?5@D*9Gff+Yb_FC>K5>?jLqfVtB0Q~}y2@%SB
zH6aY{FG_Xp^|`nAgAm#iy7=07WMR(JqaEZ%b=N=Jj^oGo_@V5tE^)#k@q$yy#KA7x
z2h$BFI?X^-pFCTlf4(;L7J3xM8%OME6ztn+zV{{-k|+0<9FO<fzN(WF{W<JbwsM?K
z*CGS9_li}9+3Z?cbHPyK4QhC(1)HbmJa^IrR_m<iu)e%2F#sby48#aAcr#Kzw`S6o
z;q}{_N$5YGqE0`E$L8R(j~2?#9jx2uXCphE?eb$v<V|_gOPd{C0urnj=|v0c7L*DL
z3xgjKc{MdP_5HbC3}NQf|NN6`HcogJY=QwUhU=rETBryS>^dQI>vxXW`8(Hq-jt8x
z5w}D5n&aHHe^+Gygac~+anF2{YRpdFCtt#kNAp;ypYUzgL#7Ofvg&thZ=&PdmDlXT
z--TpPgEYR(qYrPd>3oZ27I9xs_qAaa&yT=Gm+036O}|!UkHx(%UXt<oZK*fx?pe=F
zB_P#~JBQ&)Nc<;N7}L$d+vyKp=$di=HF+`Y-;2j1uN;_kZS6){bKO~Nt!dldgu{&l
z*G#b&ZA}d<Jqoqim(eMN0DgD>mhy(U<94nLyX8XlQ3-I8II*B5wNWQ5DVBJd!mk=!
zHGsbNvS^AmEo~aLVu=N7nn&Vyaq@lan3<!T{;gHR>2R)=eYtR6?0cKbKyEryhFT_5
z7B>$K)j3e7ub|@MzFeUO8RJtZODiyPOH9&>Ql`GGHOLh(Wa+UW?zs!aH%{53{d}*y
zy&sc8Or#e&X@M}7alrfxJo=f5q}_>mb{DB(Wv)erD}G!ct=`~nUWwfv3^9t%mDk&i
z^SO!~GUEQVz{<f`H0+@3iSQesa3aey6aXvW`&>?4AdO*_`$%?809qQvAD%8>u%zvg
zF|npK(Y|>%w6q!!(fW-WTZIX!b0MSPl0$jA>H$<=4*5-@2fG`4&g>B|@CU4+CuW2$
zK=tO)yrB$rb&K=wk+(-tfRYnxG9QQZ@(PSc%ZkizVU8mM7?%x+XGXZeLV&1BxJX5b
zEx80L<`mTy+iBhR>^-IpjZHNTO|N<d8T&u_o{8Qrjz>ELFOVWw0o#aPbY~=~ylTE<
zvgl7R8OewYwvCMlbBWX+gV4u|1V!_|KxRCGmQ#9t#SIu%P=0KQP6A7CTFi;lIXh7M
z{N8WHj_SGO-Sg4=`{#|B?NVT%*!_Zt4<Ys)PiuO`E51}8pd6yo;YQ6PO&R9A@U<Ov
zbpi_{-PN`u7ebAE1>C65bRgrTJFwKAyUSytgCh&@XC9x9D~55uFLEgEAz%CsAT#>H
z=JnP$JW(sZsBSs=bL6@~_#BC60jYJ6tOzfY-R-BmGc`e}ymxuyT=NHtpjH*vu{DLk
zOqCa_cAPHn_*c2~I+{{0a6EWnfh`=_?ErPud!XozfjJ=b1)(`i|Gxr^l$DWy39?g6
z%(l5Zc&<1DF7TaW9zZR#%xe%6CGTd8tO~m@!cnJ&)BCKLEi+TE)P_&#J*i>8BixD!
zJ98x({k0NA>|DL(wb6#8pS*e+K|wsSL-!Hd{3R#jJziv{eu`8#KUstdDS*epm2+~L
z*xUiGY#>mSgoh%nVCjN=nIvdzHq6#86;f1H-c<PJmE@0|gOL#f2AidxbkJ5i4TC=(
zV{ZhVCqMFA$=Q2H=F^%~{c@GIdk1fpCJCRjyEg*J8Y(o;+b-!XGjJl|RS-!VOZ{nd
z8Xh@w9I8Mb$v>GK=ORvmZ%OY4NC<XkK#En^2hR#cEXw<Mwk?TB*Pf&keDR@;{EZ$z
zldzzwFVX$|{rlR?mnuRZ?v>);`y)r0sO@++IO;-q@41G0a_+6s11ej>3ur$24H3>0
z=s8=iMv5wVVBjOGpMV^zMLuZmtz$O;Tq^n@B>H&M3CGlIeWZ8tWXDxh&@8NnFwaIn
zEbln-<H_DVzg?aU?A`$PL-679%=Y_)an~SJ@hAds?bq&{ov5y@6>N=TAd<Nv<M2mb
zC@g!+3dv$aht76sIQgcT7tY<jdskMhxnnz80JS7uf!USPG8y%N{a6GUFsR`$r8<3-
zW%!(I!k_e?uNzDa^C{XO>)8vUYknYEap9HkalB|GWbrrIU!wVhT}-tl<BS^OEBldL
zxRckCN&{9p6(_dhWcJgbqP>P}sC;T&4cGba{2bqu`ODSbCJU{8=*gl0#y8dtO_1W`
z*co2-4dhZTZRW%;c~TgnoB$20r<3AS9Q37)q6N7jtV$KMi%Kiul#(a}gODvjFdX={
z01wbeOg5C1@+*~Ol5|#-u7-Dk|31&&BbT3#mC;O^G3;P?iWx4~c|XyLg4may{tI#_
z2U#`vwe#6`flwn)Tf?(P;f1Q>w{;s5#a_~B+biF5WHeVP6At86P3`aPopKgTAab*s
z3sXIxGns^a9qLxekPrwdr_y!goeW4@-w>(mm$E;7U*b5W5MUa2?J5yY`v4d(;jzrn
zJPSh@71H<3(qoOC+BBYv(C{@-`@HiYXTJ9218z3wZ<sTwdg7gx=qi4xnfHGxnlDeZ
zi?@xkX^jiIf+v14Q$a{+Ka<mx36+nX{{<v(tXgo9J*dwZ`f~#x|7~Q^*Aj~k<yQ2K
zl$4Yw0*0--W*2tlG8^vcIVs34b%f#0P#Id{yhNWH^yWml@CwBLjsfTVjRdZrhG;F<
zY`^O{^xM#_3)H8Xo@&_3nMpjAo39UzK`;0OWhJb5jh#FV=C$$AyF#sexU1)w=bSD5
zDJm~*f_wPvzIA`e?J@Z^`9n?o_E-4_#K!La?TACFN?YFnZF?z}Gl#E^3B7^8H<tSG
z;^ISJbiq1}Pewo`y@O!^ecYwQ731#~M*$$i%8R!ptjWn^Vng#W?;q^TQA11r<QYY*
zDc=46K3nC!|FXsn$Bfeq%SMfNNzBuTD)l4zLfp4F;PNo@G3WHfTBI?)!V?!<9q(qO
z=YB*I>h^cG0{FU%1;oeOg9Pa%y`rjr^oLV870%qqCKOs94ksjlkd=bD&cl3+6OMx-
z(aoHFu%@W_)d2%~!1OVJR8RcV3yP2Q!7=t@<;~S$J!jdd1t69KHf75#D2OVWJ!PLs
zF{7elk2LL9;)s!a61*qg_G!e6#ywx8uW=A*2Ww1gNbvD}L5@Qm^0lu-Q-Id2q;vU+
zaB`OP{fpLvyHR47t8~W<L1e9VO=J0G%XB+|N6}K-PX}F}A5{u6BR_)r?!Z?|qmvM_
znxk%TFLdoD8t(znK?%+yjn$@3#N=#J#oJkZE<vlhLz(=Y$=ig8is8N!d!aOz$TF{V
zm9j5IJT?pnj%ln))#Cc+?z#)Q{udAjqUzrbhV~F?jQ6*og{;I)dxZiQ_m6CknxM3G
znj`P#5Gmy?uSc%$yw>{Uz?GNjV)}I!+mgS%GgodnD8G)v!F?L(k<Yl<?59a)0WOT|
z->*4$FEga4tmy^_mPo1geUtMQn)JS;tj<6*Xb<9d3;W(Tyt&hlQTyRP#SA2P!zpZb
zdhF0(1b-*>mXJEen#u@KA}T0k9$9e!wNKBRXqcyk$Y_RyE?v9sSnAzGdClcSe7Xi+
z^$X-n024HbhD69s48nBJ$pYf10hwS+I}>o3L}roXc{_~`ya#%%oMbzRkP*vUtfDkW
zo)Z<-)qR<x{s#G!rogo6c=bd4%2Hlqb^B1Rg%#!!{rPl-Lk5yyeCR6KO*!r!M8J(N
z5*dfFC&tF)Un++<Aw>qMULTJJox^|sKu&S3>N?P80n#0uNOS$&ngi)02^-aKBn$)9
z)cIjsp8gOu^VqW3YJ^n$&Zpl0zUr6iv}Rl2*+crLtIAG|GXAlysY8AgH<1DTN$tRX
z8l>Wy)wGcPV+|&b%oorM^>tk9%HYqkLgl<N)uXWQ$Ys_Iw&de*9%PuAB9c|KCM3>z
zhjn7JQf=Oxv~r5E7e?7YNcP(XaWSb6{p>gh({n>XB<HnZj;(O+2`i<5=B~!x>jSO(
zt>mtHqimNFfqd77BxafGp+}EN!GBy~Q1T!-b+<{}v25ayImHx*s|%fDwa0>O{&=;&
zDXfJY8hSy2hK41Eg9*Ct<8)8Rlk6vS{yEP4zvQ52zLI-PvCrgI>rl7jHp}#zLCf~n
zY3+h{(n$r<m>f<vtX9fD|7q<TPMgg(o`ZYFi`d<2bTv6oJ-i$T-48-uC#!*A_niCp
zlyOATa|N@qNBd0w8(f;Iuq{3xi<EZEPcW%^-rKs*gjUl(^*c7|wJwqM#ma*Ztn!H}
z2QN8)6d5H`TgMMKnOBzf2K$P?KDK6RZqfJyMOzAD3?ltUDDd}$OICazd$B$y+{8Ot
zzV`xqSy{=Q=pf|Q0zoYvvFj?7sWhF$^qAM*EH6F*km0|`5XFBso2zisNrpUiRvK$j
z&ZS|n2=`BvajpoSqLE_Q^t}2qHrClyRgq-~XfmJ1mzbc}4u&97>GI`NyRvx%6@(xZ
z=#z*MIZtlfmap|jsa`cqD);s-jJ9w9=@C~I9eW#qTYo|P5Q$->@)55bRN*@8rsZGQ
zkXc#iByJZmsHT&hKi^jLZediFu;y9Zv1=8Nq+h%tw)y{KJ4KG35j6UqVr)$4)WFv?
zZYVuLn7wrLwz4KWd)o1NXX|HJpMTQj(4L*v7Je2fcS8XaDLQG#F(wZMi+=ds!-zE+
z{_x&bV#1;8H$~Q7KQ`tP0T$)Uj~)N~<1@94+}|08_u-F6aI(Ba6X|EyP1^!b5ZPG2
zqY$d%9GFb>dfu<eSPs(mY_qD+;Sh@qp^iFz-*3YNKLb{fuExw6hPM+RkP;%Q6PYpU
zc+D)lRh3Qr<uyoT)-&t0ii}RWv!qmSw2EEND%<O_?db7c&y3n;|Ilkd{rp@aD*|>~
zitJomZ4$jrD3SxD7uubea@W7bw=Zl`;&X5UX4a&ZiH4KHT3>sZgvJ8!%~D14{V7`M
z!*Q<oD`>&XRWat}zF3v{Cp`k!YZg$yF(zTgQ>~NJZWsw7u^E7Dee#A~wC(bH9zo2f
z41|bZpKhnI)l}eXAPA-XHutSMhloD`U{HR$RZw}XfH@2X)mNt9&P<I4bgZh0I@p06
z3uJ7G?d5T#>kuEs4r-G06PSOeJpJMXY!syDLUV2lN=#+p1X)f)(os-7TZPMTGgWIE
z;80dJ*kk)Dg@#awSb||W6ACVHH1pC$T(QuAJ|Z^C>~l7fdN4TTb|k523ft-`a6<eH
z{6tw8H{6GqDT%J@a2*)5uJWmyqr<{hTcf)2NcJ?9aXqz-)h%3J6S9{^92p7*d`6|N
zohZCs_?lC>uhwa8u@$iyl1=9%Mg~`xxnE=3?6;Q|B+%|ovUJ9gsQCJgyx3_Sj3}5q
z_i@0RVT%F((!N3$$=JVu2W4zJqgWQ>VIaEh(->!BwuOH`euL;b*KgQBDba+cj0rC0
zAmHZuYxxYmbIKd5&kbz#^73+eSo@Q{<{+1N<P(q<@bDMKr&M*h37!rz35#Urg?{%e
zQuxU(1QH*SAZGl)?nfh<LIiIanxXkIxr2zElhA=!RCR65*DtY9{p~4RSj4=BD#eD1
z_T{hX)`2%8)9YJz$=432Yj}&@MX+|A%vL+uw@ZuR{w!S)K0O-H5g)Ghfb)>4Uo@Bq
z-UHVc;WO@i*l&G;%tggPAnVRvjm))J&7<niXoaLQU84_&7GK+*ui1${s`7^Wyyqb@
z4c!<r9@pfau~->Y?=+6!T%BBQ*1}ex%p6_HkbRO^6ga2g)&U+Ob2W-QTsNAl0)-Vx
zkXZ+}eekC}4!WL0;~gvNMqyA2S!p!~HhW2j5rqlNwB~3#uYiuw-`-0IcDfsofaaM$
z6Mg{)QHqtpS0oKc02i}cdP|ydQmp_p*oLk9)fc302CcM4q3n>&lL5(GO{}3X!vPhS
z<95#GTT=~)i#&5XT+QXjjo(~hog&g6;@_?$#LE>$<X*5tgAwpwvPo$UvZ{Q<-P;Su
zC!q34cupm^uRcF?HYM!T=yrWQm&upu%mtmn7o?~<mFP+`x^;l`mXwv1&2Q0RP`o}u
zpK{TW|5q36x|*zCo}!o29=zwGdVJO)8Ki@~L@anz*Vj6+>+aW6`*D9R`qlHWt~2G>
zLTi47CNUzEE}_m{tjhOeTyPvY-frbTYvYp0n||1AYE6#ILdBMR`PlmhwRXS#z8;UZ
zTFLJzy}t7icXVKMSy&~%Z~Wo`G0h#O6LHJZ>7TO2bWh@r#U}f#mW39`B=bTxZ?Ssc
z3VvF_t%&=>NObgj5>IA1!3)BiL=X+HD(~|Qa(5pBhKGb2L9J@8;h-Er?vq=#W7%};
zyD7Z%qm6NaDAb1?dB#apMEn+seDKgEo2gd1@O`uJoDD?uXBP7_JZv(*+S4vwMOH~x
z@@mDQUE6V>;UwD~VeSm`KmStz6>7%WJ@R-YlL+9x^<YVjM+qTri7!i9x;;}OUjvFB
zB3J}9LDM#H1gGTU-y_&sX6IDw79~wNizi|Fg1TT2KlX2uU1T$E<7(l?DXJ>OD_ZzC
zzXl?KFk<OvU49Ei4W%|-G}u7Fi7Ne~5h5I`MO{fVcY~Xa-0&W*ZKsEHxk9!&Xr2vR
z|GP!9sZN<KPNV$6-{j%b+lr+ue?Z*38rYaLL(Hbc*^F}X-X;3B&fa9qDm%DxT6qv{
zWFd<kH{<AU{WwqC(70X`H6p2XW;KzEFD9&Ruz$#-ZUCY~-}@Ih`cCz!Y;Hv$EZ3BS
zc4~`Xnx^M^ALrk?A#rhK^pEeEeFeXLxJ&^qs-OpB*Qz@you+DAcjM}|@w7^Km{qA{
z$d$7$>tGL_cZ3)fa8o~Y>tg{Y*>cqha~rXKcSo5WOkbo+vFI|S(}Iq4@~e(k=Y<q(
zJsl4CYjzJ6u&lY8LyQ2*a70{7U(nAHCntOJ59DC<{f+`WR2h9pkx={NF9)v?<p3-q
zU4c`$Eo?+{maUHxYe?U=D=b<NbA8+JNnQfn+o~RQ-y@WK(m2bxiydsCy<t$zM6=*S
zyFaU-I&1Kt!Lc>M$)@|@X}V)~Z}bzzjql+~S<nQRHOD_v52qYj-YHnrMDkp`*f=`a
z<5k;%pJg^LH1=|ehm-=$THLQcB}=@++e4%N%0_vJl25`N09S<9x;(3+;dsR&%KaA3
zw;pPdm8&rKa@SU+sg<cNaLN7ZUUyB9u>SPl=za~w_<eEvMzFO}S8L5`ydvb-FcgDM
zwK(WqRv;PosG1Y?3e$y?+$h81b_q;5yG+`o#ZP>SUHFzXeWhBuzIQmXj{eb_8`<UH
zaArqaG~?8wtZnH0fUH!)CfNs3O%SN^W-;~SF*iLKZYL;of-A9TlSWziS7~Y7+AP3d
z-qyBTQEmRV{4jbBxm}U2W38ficjmv|{g<fBaBsvbmol1T;}xSMT^=n!8(I-efs=UX
zTkd3^(VM5*!DD%>3mm)cU1@t8nS%zEErR)Yq8yy#HfV{mDRd<qAv=fOVf{8XwwWa|
z8^agOW0;#xu*=~b+&5nAn0tyC^e0XV<P-ZG07}F>CSg!=l8vUQ5YanUzjtc(Zb}$x
z-{p`RVkAfc)xSi`NL4P0(!2p86*uf=Fl=<sXyyK6`jsI(pOIxm+F@YckX9w^wgjmT
zG3-!J&d^+|TWbUU1<6Jb)F@&Td3Ho8gUis@V{l>}KoI)XmV6@9LX4o4OXu4SMKHpY
z&z<iUsuoYb@IXr8JfDW~|3qW-QP;SpLo~*etCSnED#B09_c@aA*1l6V_9B$JaT<ss
z@m&eunIszptC+xo2aw$<uu)fcGA7zwn1tV|9J@=|F~nuqslQf#CQJ6uhP%eyF0QRr
z?{w|m*6`?K!+c=+F`s1BrqDB1%h3Ztr`)TriEt%j*q9w_Lqz?6DIno{0~E);F3HAZ
zN=JBC(qa?&2D_}AlI^TVh897KCKw3EH@Z+j^${$Q`=mky*@5Z$@^+p+DUZcAeW&S=
z=9n)uVyx@PI`HvR&DUwU6Cun`JO=G6PpNKJIzttIjw&*KPe3}&XJ8Bh#2+{2Z#`wb
zjT6L7u=L;AhV^r$Y+;3HZHc{}u6*Bl_T<CV>11vqD${pD1%`ctr@Yt5yiig!(^_W!
z@Sd!;Li{h(YqaVCINLWJd#@p}N~uLlIB~ZwIm-Zses6B%g9tUgq$-Q26^xIiJdTWa
z?g&ZQ!{Yyf|ACZDFt+V|OVC!wQaAgGhIFj6;n7LGkjUULJkgGJoM?qYCMPe)4`PeF
zFUe{ZVIkFps)VI(%<ss!lgNs1buY~d*}||I0tHr<IY&@L<Q$39(j{91elzRCJrjVI
zwoIq_L{P-RO7ah=yCAC9eX@zUsx%=$F6mr#gjT!47Js6Ydp9L=_n_DEpB^5O<<}_9
zMEgv@{IMCsBF_$yf9jmLFOmJWFt(Ys<leYljMWxIaZxVoEu}D*#r$2Cq?{0o_x!?B
z7X6SXO_#>}72HN!x)v#OG!R*hZQM|D;P}?{2B(~u(61c8bQWPJ5etNo$Vnq8=|a?r
zFRD3-<QS*2(6)%N%D>+?QeSTf4Z8gtJq&kkO^fvDj)%lpcp@h}{9)gh=<CPrcfKT<
zNAFYi<On@k&bx=4r|8#SE6Wxgt&<0*b0LsY3xcHi#`@#62{`&ptQRa#l!6D!G3!Ku
zs33eZ=5*1yU|hSjuU{S^zNx6R6vNAnJuMB-UYCt(m|rL9)uamuJSH;tdK)nUZsK46
z9T>|SAQWRx{JQVtA=p!RX~AU0;RjoiGCE0B*5`+32VI!<`)y>KKfty0EBo3Ok++M6
zE@=$OA%`!`PAHHfG+*-9r((lCVKblkWfHz2?4Z(XJ+)&qM{9!mTzjDORM4i6r_wJk
zNVHs@#g>%a2hXsU7DZ)$ZPMm%->3h3WfI<x16pL!1sA}pcT=m^KJO&5=6?HDP7}?Y
zW&Cf;+8n({h6-<Uhn*S(oOU+nig^Q*h#00gtMH7GjL;#hEipoP{2%#|)xvY}W3K6y
zp<AMk+W`Iajs4z$9`~5f`KF(9;a72DeQvPiJBtqV6~dV^Yhnf!(ZIR@E5H_S0!;-c
zZBaZ(;zQh%-Q;swT(Dj>D_N;GihV+xOD(ebf0peVw+|K9o+`95QVFN8wQOU;witgX
zaZc;FX4@fkx3&2>?hGsdN^RSp4vblHJS3!{vyS4zDYUK}7<h8+(qu?Z2Ij~rFmx;>
zJfDGo9gnzv#7#L`deJ-Ly(!o1MmB47K|B6N|C|W&1VVF-j<^5*EM*Y}Am-m4*G2;%
z)ac4IIEC*lJG!ve2J0$Sq9o5Fv3TqqMbI$UY<eT19e<M6)-P!C8bAN@4^?_PKM}rx
z7`eZjx@xglOTUSHY26nKW!05d^e9|jcVmSup#Y$>Fivgld@ml`|Jp@3UBM9v>ATf8
zP$@G|e@oQWgu3Yf;%9;}XtzB^^8K=nz=aIB)d0`qbffm=&a!s$1JYX#&8->O3GT(e
zc&ySk_k1tlEKm$Xw%F9%oJ&P`!IZ><<{KxxsT?}<hZ{u|M2p1N2VLj&*ydM(Bs&%F
z?ds1}_mLQ^eh*BN>E<<|r5SIP*1rrvGU9APw7zU~QB&Zj*_K-c(>Apa2Bg2VTwvyp
zJ#13)k238(va5#2C_fukELknTrZ_{r>={g|YPBB7=G-T0{Ujf)@P9(Y%f8u>4|Cbq
z$Q6oF6PC{m2Nhz1Rs0OW{6;<)r{~pDLFcSYIm_ZP8vy=P2ZBh3{=euBg_|~@7+jjC
zfe3Z7e8w5BW=*qRL>%}DSt+JeV2YOLl&!^=toVy;IQyi{^v*Va4+7D@@U&~IEF+-a
zQBs@2WVd<fO_~<N!>|88+eOI%9ji}ww-Fi$PPdsCn6M+7_pxrqbQ+8vLw2?RfS1g{
zo<VE9&}q_px_4<BZz5%qwQy!;DnLD)KA@XQuHoya?M|7`0{rt9`V$5pgq3n$mZ|3X
zX7W0GUHmr6nDy^Bs%uyMLJe^l=Gz@`Z1KLoH-pt3rHA5Yl`PdB$le3NXU4MI5k#Co
z&=M0xPQ%zOy~6i^&9~P9_t!OyNYXT=EIk3e9Ecm9>*9ecNY#QSq7R<-K=h|oJLLXc
zu$Ilc)#y~eHxx*WGT5J0Pf&618DD`1>|x=PZxop4W-#T*x9m3*ryb*4MJ&22L=Q$D
z11}xu*^pT=Y;(<4>IwD@C}rJ`=&!!M_)4`UahKDY3-^(ENJ8ILn%okCGB_lW(Mi4c
z+etQ%1DSTww-wj*h`cazV7L%>EabYhD9tjQHx{*u5l2a$#N9R59fiUA#nEgXeTt!M
z(}rf}6*aopjDUwy!^<Xp&nqE;%Szfbe;PifM+;p!rd@6g*@w<NKblUxVU_+=;}71u
z-|qSPr3}6xg*ZD&woQWa#)-n2^HF&`MfMUrNtI?U*ZJ&*G%{^<>CW}?d5o=~ODB{`
z+V3LmhuW5!en8=j6Uka2y3lCs=2b3T?R1(ST5N0l>hv3{#&m>($FoNGGb1~kwrt({
z1Rv})Sc#YXt_e%qh#*zGL-}h#BHCFZO5>4C^gUtfWQQf<)Pazm#5b;LDTd!~Sn8WE
zxQxy|N=!#m>kB&j4Xv}eFV2e;9+KU)i8%MHE@ylGy&l9ksPab_Ic{8FH-!->UUg+C
z+H0A@qnG{~iaBakm_$f&@{Td>;X<;0l~hv!W50pMPCNh~t}|7iCVcJmYQXu8tVzmG
zo_*h*-&nutcg5@P5D1#qMbFe<Yt>pzK2NPQI$=`<J!Z6VQ<A<mO0SA9uarTNry*$z
z0r+!V`$iy3u|-p$@;|+$PbU0D8q5{Mpe+IqRrR)H%>>XogMC*r1;9^EgTatqJ_;SE
zF_M88`n%Sz<{{EDC$0O6r7Of^Vbz)j198Zggq+P}r&3rR3Pj{Jyf#@e!Y_P)b)A&O
zs6Z4#)S>QU8BHo|YTL|^?*6uA^wCdxeG<om6-3fk7)31oqiP8~*!_L8g(COi>*xHD
zlh-P#t^+yZ)SrUs<!5>Q;~qAFrfZHyoW_9AFi)kTy0+<pddIpCLB`JCPO|34$9~8m
zshv20!~A|{cp6W{AM>#p>Qd?Rkm9e2JC-*7eCB6ojJK)XZ>gKNhf%<UIwzEFwqQPd
zG+&5us8#rqN^fa8vrbuU*{RM%<KlNyg~nIUBzNUps?dQ>C<J<5{l@23tHI~_VsoiK
zuT6r~BVnK=!;-YPda7cXmk+l%FKkPW_m#pxXcnGb7Uy4z?_c%BcDs*^5gXaA`yNdx
zv;0UV&+a$D6Gg1b^CvrwOek%&*EzG+y(1(u&UY)zwQX{lvoe2SQKoa~@tVy|F!K6t
zqK7RUB7@S)%gbrMbv+_wjl7bzQ;f*Umnw$amib#1@^1|FBWJX7Vg)Rmy@YLDweq^v
z#aO8!^iE!{w2YkISN%K@vPx!rdTBr<9fqRPIx2P2cCYm-B;oJFDg$Dr37&%O=?OFH
zI^qqGbPh$m6~l3o5|b(6Kgp+`$yYf6?#8HRot+4?(8^h37SZT&lBNVuE7yfUMyY;c
z>5S0FTDAWe8OgmHr{|>C#XHfOQMD@akpHZnA4>m`grb<0_|PD46=^DV=k}cK3HM1@
z6At;{69DJZSBz1y347>hK(Lh?&5FC3SYxD~1Pd;A9zdgzI`_P~{mSX>M%i2^^yx#=
zmDW;jQ61q&!&r|!f??RX4fWWkOpdoo?WDgX!6u-tX&eGuZoUTUW(W@rllhN(WZPf=
zCRK08m{x~x55FmfVwvjB-oL9;u?8qe%L%e4BT~|(vfko64zt56P4e;3A_iCA2|Zu=
zRL^=qomY9`^PeRKM%2>^b>8h&#n%_3n0XH#EYIH)Chiceb8L$nJzVaOmX7>xg}Lph
z6>RTT(-##^F!2Y!Q2m4t2e4YHcjHYT@Rk;|l^FqLIOO@Ij*t~?_+JF~EAj=z=Xy*O
zx(j>3*&)gktWi1O>P{z{N8U0pN611(aeIR3MMd|RJ9OYr&FqPM6m*jWiuir%uN!@?
z+nr+x0!KD8QHA{&Jl2CgEKAS_tB&3{-|0T1>h~amN?H|Ih)T3g-&$9~4j^C+G|*#8
zOl1<DzC>lR@&uyUw`C0yTuRSV+(l}0N1ABtBs|aOsx))TW%1fwN&8XQ&TRKPVKGXp
zPgp)qVNTTI*p`VAS++!y{GnN*#mK=T=h+^7B7ySxKS=U(m5g<EaN%9cQO!OXnU0Vq
zhHFz?DTP=ofc)~&d&~Rv7%!vYghz09)~Zc*ehN<1LAlm5P9R$aY+Ru%(-<aH>u~+&
zFDWCqL@2{NHog4(VzxSTqqtPKr+kyHjEScIf#E_Ds4x@f0Hk<_hjCf`1*P!Y<TK4r
zEzAXwZJKNM1y<hk8Vg9B%ohFo@F6hh(^b!!DpDJ{Vin{1ND#Lh!uYD**UIwZJQjD`
zcNMtkQy%-2nGGB3NB^191nO;u8-k2mR8zR|@rFJ+ScH(0iy<i+l4&$kkCF4WyYK)P
zt>w&Z#C9E=02cAadFbnhcZ<&XLl8ukHK(s{bStp;)CFwXo;UGlv951h*(-%%KBA5w
zxc3JXXcOCmbozJ^#U`Gmr(Uwfk#&mfAHm7Li`N|yMrXnQXr3X$E2?gaCGD-D%|~pT
zQ;#7%aQ`B9Tt^8Mzfc;HR73Rhk#78%NlUq;Bb@QcooQx?X7~T}&E+nZ7|we9!2`xz
zxxwiq(XZj7(so((`Vqh%%fuFl_hm<afmNiQJYLx+Xs7hVyg*u1&uLQCHJBXO{+nT-
z+*Agxc9jS*Rd|)h>a(*Ti<h%JM=KOBwwfo0@7`KdEMonpUu11oU!lU1A<dYq(+SDt
zcN(S62l<DCxZb(Dmpm4mP<(PQKw_mSj``|nn6-Te$|DDk?jEZ&e=(!RlWf?}@op4F
zCfL*s{zpxYF|>~26v3m;&T{HA>-W1+9(xqPo*{E(TXE3$*BYNhsPEf?un?iffkliM
zyZ+5tMrxQpuozwXl^F!e!KW0FtBeehHG|M375BTBY}vL?xWrjp*5&6n@9Hl;5fK4h
z|Hvwt`j;Dd%$-Lo?(uI3$I-LvxHB|~!GOw5RPd=n=`{h~H{R=D2x<2{GyJc8%%8O0
z^dxL{Va~nxeA~&kbSsWEYvv2@jv+*CJr^=}Az-7*!!Wk|B4xkZWef#*k<yg<SDTCm
z8}4#xjPYX^UEM32n<FLPzVcwQXP!GZw8A5_yZaYDFn^R_+*JDW2OTSAKQ6XtZcr+l
zZsC{UYxSAx1wKgqu5RR@o^-<@jJ;1uO#JUDtatcV!7=eNmgMY%=luU<{7p*XB5$mg
zb4<&&YnmO~;#hKLoZ4opjRX_J{BO0B6av4jh0$&MvgSk0d*@P~YM<S-=|LV50Ko5R
z)8dM=cs_TerB%K!#!og75QcIoMzWmz`Bv<T+Q4b1*QfFD)}d3_Ua+j{q-nUj>CMcL
zJ55u!zo?BCAhuZLM$&&nfUEl8QlNwWE;=vcK^qo@{>jh!+y{P_Jl(lHhY<$xRVNXN
z(ldAOFh&xloEc_rB$!sG*QL{^d}q3lhsxjCmuLBS>&~blhVLa=8#|$#xj(&hRkQ~`
z;l?2K)~zDddr5jOap6`CATjS5-o|4jX`bO8E+P9tlPL8f2$Mb{Z*j;)vXO>{=+?BC
zspm0Lk*yJak6ggP=w@Gj(a=j8PS^ZEUCr_@(Ys@@1Td31`D^NB%FII4^!JY*SLE84
z?Y~jwp8zXHwEls@=BM=sB@o<~a|T3>OU23!-gQ*o-rg~MMw0^(4!N`UT@f?)B|l(s
zaZw3;yg@E~_Fb`8%jk4t3W^}fhQ`eD@Ys;$<O<{td|?N`FA_nL<%9z=oVaFK?XRD&
zHrJ*5>~cz=>W|?ier0<gOwV-`ycSFtedu=WGTUsZqY!b<4nXFAxWVK(C|bP^cGf=?
zk80bl_rwX~^A!y64Lft8Te5J_et41WpcIk%UT_;HPUyx)NDYXqFT&%vU8sJFk&J#L
znTB<gdKtSS@|4H*{l#C2h`m>M!`CD5d%2_1={Dw!(3gKZEwGI8%FtJ~s?r9V)Hi2e
zy|a~OWwYtXo%8<F;6r)c`sX!7)0unN>!!$S0>;tPavQRa?N=uwDypUg!+#41<v_dG
zqRIWU?|WOl=jcfZ*B^2Gy&PB5Cvnmms;b;FBpVoi8t7^$Z&`_{HYDlKl!35Iwo-iX
zN%;e~D@T)kWY(u1vX_^C3S)#E-8G&cy?KvekCYCjgFNa}Cy-D=?8Vc_H_EkDOQM-U
z`hhay97x=%Km@QNS8<4u2~@TkAGe<Cr2Y1uUwRIh&jQhB>4l5gS<CwU3O(>0Jl(;f
zBFj4V_)_vE?R5LUq^Tg2eRguTy~`5ZB$T4bUQUmdi7HwiO-L+U41q}7)Zg)(-U-KN
zK5jcnLrehvt@yJkWkvDIJ5Tf|Z@)xJG;nSD3rqD=G!Am1QayUaP{VUJ_Hu<}w;mws
z@1_yWuHgW?!cFehZSboN75WrNA+~vh<UE*`wTp}yxiP{;JsYHL-JfBbU%S$IKzv-s
zX<QS(Z|No8`xCGKI~>i3N;Qt>J^z+dODrYp?T_vFBsg{pF!zO)yaYy9fuo@xFw+&l
z@JP=*>}CY&HUOK3DoA`R>QA6h%-^OL<Q-2S+v=8OJUafjH4L`eUq27n?__2cAd&6n
z8)o+l9qhD#j5O}z%k#6XHgJ&fG44<tA~9<-zhjuvE<N_sE14nATd|F053=h3bw&)t
z(+ob|+uMM!4*db5$e@xo>TkC)bG}#4y`y;h9{ane%b++6QCPa;D*QiB60GBPZER4)
zC%tle^Q)_~0)rVDE;IKB5?4_1&2_5d>^s9^rX0*DGkPIX1Dml9i>qpdp<ZhKP|VT-
zJ`3x`E!(#TqiqT+-G9Ai^blr+AcT;H&ImHt;W^5~&KG~2e-W%o9kUOccXIX&>Rr&J
zli0y@gq3U$gz2)9fYU&|GR(F?{B)S{H_dQ9%++aT?&LG1(G3mqJ`?3-UpF!!e*eu?
zJ&&QlbcO<>?S|PE4eN?&Nw_>XRH98+rX55=;nCs)Jx_6_$V|(eVtu}`B^kQ}8y8*F
zH3sh|{~$>+c2O+jFYc_t5-J+g%hn))OBzVzj)<vGjd+)Puk+Vi%U&;g<xdSZaqC?6
zv)~d|`thg&(Fr}(dBV0WY|5plv4Y^0uM3_iiwD<A?-qI%fzqUfth!~y`>BF6x$6J@
z;*Bi4s()8N#<JyuEfz5Esxhn1C_9km*n2W)i^WqILPO(jcJ`t3C0Qpr^#2c0-yO(x
z`+l#Tgj7bdi83RjVPq4MN`<1Nfe@nXmaH;TWJFO?L}bs*NXQ70Ekw4E`8_w!=lAo+
z^T$*2_Ilm-HO@KLxddXYEg`J3PZ1TTV0(&zioi8HMGg6kqy3>*IYCUAydCs^qwf&y
zHv4+j#P^>BuQ28|rAY%q(V_A>`SlZ{gHHpV$S<Znbo)Cc^IPmfATbdodLG<|y^j<K
ze%->^0w-T`ZT?Ue9?bH<a4)+9TGeYUjNhf-6Ei;*7)iX;m+pZCScffO=2`k1bKmf~
zTLjO1Pl~Hy?7rSbY+8WgS6{M4-`*1LmOELiLC~h)N&p5qewaWelS&SOuUU59_U$Nx
z>|qDYy-j(db`D{JHSH2LV&7x<b<2q7LmQA74m0W%3t1(tcE6kNo}F{GJPlCLF(V}M
zyRQ*VKtpt6MY7Aasns7IKybQ8GEpi!Fcxh;@vn6FkhuC*7N9h_tFwbmOSaBzTeotN
zHHVPqmj`90s^9m;?Ad$O(Cu;Xfck<;*1Y29^+@a<Lu>o~9}}xf8-Ni0h<@zR_MOUu
z327Pb@pERQFm6of9BQ5eRx?sRbKST4gm$^X-w6YIrZ?B5g_nKN<Iz@!4f3D*R!nc<
z%wPa6<tb*kd~}gZIiM@WKGBu4fd78l!CXCBW8~B`C1V~ckNtlB!REczErDdKgkH|A
zq)Xku{}uuV^-d?FmgVn19zg^kFbXjp^g;GplJAsN{i6qd4bZ;ifp_|XH-L~HtxSa(
z)IML|o6z}t^m;K($Bga7Z~iuL2?_<|d;0(Bye8GxSR8mkXvn@-mB|C=>q~k&nF|UE
zY9T-)n1zMy)!aBl(F&y1YhgtOz-62Nyq=kBsr#miJpAP=9RtH<48R&iRjl&!qppe8
z-*;dbKS2#ujx%<f#aMf|4)c>y{1j|KLrhZrr~=^^6?VTQW2{FHah-dW_pAfjgiC;D
zh|TJ=)nN(!hZ*UwtPvxDQ99&E=7|cdm*vrJK5szV`96F4^+<|^n9cVKl1{76#2^b0
zt?=?%H&xw0Ib;bTGE`~D_K6=h1C@$P?E`(jF7njt>$%o8f9(dc8T9o{_tiQ!i^K7c
z)VL)1tiL9<&%rEBFof1xU@h6T)Iy_&xdKz355Q5F*r!W(T1k(wpd66Om#b+_*?W5*
zG<JMQJK!mx^4Eng%VM$HPSJ&y)Yu~+3nQ*xJM-pb+LPK?PYHKDG78s`*t(UiQ({!z
zRP26Unm*<gWUTqGMpH_FMolsq#$l>ZWp~-$*F)v<h_Fmh@@X*$pWO{k@hR-d!&b1I
z#?Rz|tb8S<o}WITXZ<OQ%Z=;^c;)p+z@A~-qw;TqSD-2SXd;b)dy?P3s#-;@Ta~Kr
zsY~`w0vbuj=CCj<VAF&!VxnWP?2*D`jP*v;!NGtT)FBJk)Vy0thXf#0ngpY9VWKPb
zgJv$uOa8mHctnAy{Yh&pX1RBd6qY|o1n13W9<d}1z4Fl7i10#e-K)Jaa7r(uCC`~f
z+VK4O7uctMitPAn>8#CRZ{3+;H^`vvRU&R=2IsAqPM>qG&<g~nD@QZN_Pf$frt;)r
z!0T3z6ZBJd75exQ9S&eXg+K=p+mDQERZysrCE}F_nvf`#ho47j4C#{Ml~+Y?@~+pK
zL}1)ky87y=x~MBP>rRkD^t#`*w|7m<(#Ma-9X@E#SM%iUND$kTRr$mI{@K<7G*lEd
z<fM}+9bl9f2jy$mb0P(ZQ7hh_xvrCrY)vb%+5S3@*b=Ip$5K{?Kv%r}Nhi3s{2iOM
z#ae<Y3<k1=h#1#(!C$*!d%$gT(+^pBNApPd!!mY_&keoY_*b4H!IsSIx9IKpBGb<|
zhB8{!sU2ejl_L&k@6k^#Q7;^@s2}H<C`?^nU&ZG&AD?M5Ir4T;%=V*%n-v0N5EKPI
zy0}7&gD<XA-@O@ApnbCO4nzX8O`lCU{eUA>0G#`UP!@=-L}8^I&7+1ptIRKMS@>@r
zkica}-Ij-|mS3G`6}Bk%)ctGtwO6++<Onl;c}LnBAg=Zr-60XKv!?37Rc&XEYe!R`
zYI9q1sYsBRMbD4@ZG(1?PEiP8v87s@<KTM_X8YZr8+|jxb0HEbn5QPQA!KnGe%q%Q
z{s>vm1tG^{c%z0T{!P`|=~54KPiaH9Dp8f<@D|VR!OzIBCr}uE*|sdsW8>BM!cn)I
z=cc|B^OpPWOMKYGBb;w_=u*Xu=YpXDPGi*j)0f;a9{X&4q3Exr4y-vnQQFfp5b@|7
zvAsY;?s{$F43D#pM8h#oPR_0EN~xD!WQdlTC8e|$L!_F{-p?y{aAPVk1bfepW6@ew
zAnui5U`Mn?>g^wR%Iy4AeH)L>gR^)A>4)$+Z6v0sdD&&?mtuMo&1B$+K0~nVcbgX3
z#`f%L_3Wgbzu<qLR=o}ypRUVfGfDL7Ls;RW3Zd~N$ARsmCIryK2wzBbw1#m**LpHj
zC4Q~x81bgZx`M|*fXTLy-N;;`B|WF%00K#kl#w~-6p1eoO$nm(-Y54)F0otbXpnCP
z`&%u3@iWZB))=EB9jmG2i^_`#R+sYnzM8*Wbp72nj;vwqd<`6LmooQep^Y!p*ND>V
z)+p=-n&kEU7Hnq3{FX@j<nnO699XysuLi2YOPUdCS-MrGKW>p3%wS7*eX&zmg&IYD
z(oaB3zozkTQ|%Jt<VX=eAOg>{3juk;riZ_Qb0W4$G5!Gz-CoqopzKjM!_U^eb}RKT
zIct=SQa)3}i&|($MKyN4rC%uUFy=Y?8>n#d`GVCNR2xrXpKs2i(iHgN5boVq2t+tZ
za&dSpXE0;%kAp$z9aDy9dz}G7^H~U2=C!PvQ_72Jul>xZadrX5XPe)hB>HF&+ipdO
zAfxMn+lsbHvUZmi4-qvN?g;#0^9k{IhxnCXO?|g;zT!vDE-tSDcJM}43TH*`#oAmF
ze&M?-V9|z|u>D}f!z^qGi2A33Y{y7D(D4tfLe%^sLg}tNFSE*;g*p6!9l4Xu_H{8@
zWF-{wlnJhM0+>LGsGi*EwtY!t*rDnOjF?m8)i8y9FOjvt8)%C^?7=gfWwI`?>%PfE
zO`N?lAH>#+LGju*j+X!OE?E;wW3cnb&EW?rnBSCS%l%qM@o6j3m6D>`xWT?Qm);`0
z<LX0-Tl^NYFZ18%f09=|>S@oj|4<$cEa%B4&C)`$W0*Ab5pbb?YnYowtOlH0(HNX?
zb^%xwqoZ`=qH?$Zdf3aX%_r9m+d)E0yduf=Od`mu+ulut(NO4x@yt9!dZ-llfrkGD
z(Qfj5iac~vxHOWCM1o5S&Fs2ICLqZS#Lxn|h9GFNpXINiX7l?3#S&pqiK89U&WnSx
znN=IAYg27#%AZIF?7Da^e;aSRpe&Yx%+8u#QY6;hWl&lgFWj<Vd%EA+SfjUL$vowj
zO3!6;$46>Abxf^kuH3t`A}lc1CI@Z#%TukJ-mTT~OY*&17-^M<^wzNKIbAb2!<>JC
zUWlawtH|1vc5cuN-(QnFhOr0%q-^xupIRQlHG_mSRpxt2-}|}8wUie#%hF>@t(}41
zohNu<>+HxfmMCrb<psr##<vfjlt<L275)8vH&@K~SEp)MN9RGuDnr<B*?#ot<+{4h
z2io#xNsn}N&4H#3nAyLuB0_{8<M-MJ-%vNbGkxRB?&tO>f*7T%-J9)SB!uVf2wT%3
zZ*uuzs(;S@aEh-c%2lm}9r&{=JTqmNgr>HKSW=jAek|L0CxPH6n2>fDO*LHWbe8TQ
zc?t<9vd=q)1RYeHJ&M(N2|qzy3UE%pYALQ9KeaGlo27Xw{dqKn+J0we=T{gqi`i2E
z(WHe%R}v<EK1S9+&q29qQ?doyryVf9kkYyje(F5)L8Zps#hk(g0|86zzR!*g&FG8p
zn#*rGw?TS&ZV4^7M7rl(8fh)aq-j{+C;~rW*N7tMzK6$W$NAg0De5?SppXih;R1qq
zxw82oXV;=#kBR_syvY3BotmMF2}VsWw3-{fjybYWmwk62)_6tvtE;}Lc->>(?k`)H
zrf0)(1*RI+Ps^^UC+k2CrL~QD!Qe*FqEL0nzRx^z{Z4N_ljXrVP|1p!lx;~WM6CIR
zV6u1JgOu|%NZDWWE6rwa9so^R_wx;!`Iwh1<hgxv$P!sZ|M>-)=N_otF3XVxBbVEi
zrthcJyc%}uZ#xfC@YU6tsLSjGx}f+eB>pEaXS&a_qO{^E?-@tw=O=z%LJsJ?{1m^u
z24L`#u%FpCweuFH3@VJjPR<VgFNbE6?Y~6Xu`T<BwPrxrZKa0}K1_8C=gvCzFlCmF
z*)qEw#N^&KA_RjJj2)WN@-q9^Js1Hs`C9-p>#>F8dp7&TH4WcC4?cTU>K)dCd1=-B
z)HxKIc6IYtG%Q*Hb$F`=vUyT<&Jq?I=YXZD=+Rbgf@g0q24u>RdkK7;e2L~(0=)TD
z|1H4%GAt*4rVHK=yu2b^Y_YBhW6-!#9M%*SAW~<rGhduWa`})zY|0C24@$bsO+5w8
zSEeD7i-{j3(yoEA?|xmG{cYjk3$=e{nzCnJePMZ&AV{Mu4t2Yp{+8iaD>*yGAVNc|
z=R?y^w=LPidY*l*u#RHOHlg)MoL5eGwjL#}6_`s8>5%_)f?mY%EPUs!WL16!)`fAa
z9~_^)XnTUrO?G@*;<^n;vY3q=T^^V*h5$y@1Xm>)2Az7?g0^QSwuG&_mIGGG;$l{9
z(xiARmeQXz0qLA%#`{8f1BU4MFnJ*9b}`9xOH{X+?E@6TdMU<d-m5I$IL_^+Ur{<Y
zn%HVneRqNdJ48(}OLFEH4tI>6>NS)$M>a7EU;8l+3l@nIBJ?oVxaaSQ{Whv$56D}i
zh=`vlz;t+JL^gxZ_sfsTybP{eNZ}iOP2FuXe}8Jo4K&WW<mN*&8WU@bPesrc!f4j*
zU8YlicJ}G2_VmBrf{)P=qOcWP!P0Cca)qrfMFd9_IqZ~a|2`OWiqL7>`A?PsyqwoY
z2dEWsjlh1^f&E>rT%{kCZ~6$+9NjsegXDObZDqgM;rYO(_R~bwHNbGhs)Ysa$WLh(
zo4Kcp-di2L(^S_>3%X0(fx%va5iWGe6`S5UZWCgNqn0Kqq^0-UPdcGv#KfVc_x6=9
zc<N8u+p(mwn6Ku&RF)gDR@w5;rJD#>!40Pj<s9Hg&GrQG{|l~@1Dc1!;ly=bzrK<#
zzW;?+)&bkz8!e&Yx1`0q_mMUyf=}7lZO4y<CpQEmE2lECj&;|$&sL9pq!cZ%+4<%-
z<4dqjCtP2X;Yl|X@5ydUuGnx9zTouj0V^<*H1*5A{OSiKDQiV{X$mYDLL%x6iDfdZ
zZ%{IB(+&@QYm}b{<>~=LMp}?IzNU|j|BfX3zIk-IYa(fk!KzV&!%L9A*A~;SAs?zj
zqr}jw1pqGb)J-XPl;`I~O})Byb>gXYYoMlTT+5XCt|qi<A4-M<W%BV4vvkv>?v5Hx
zA}ld6`hmE|G0LSF%v2e%o+R$F(ptso$r}amw<)Bn?o3EssvqDEVvU7qf*OYITJ1ZC
zwKi0&Dc7Wh%3{XY+IkQZ$KeF7uWuq>9lfeaHLS)gz8CtF%0-e<*_!Vi57>EI$qpAo
z82J9ORVt7an8BV!NnTk;Ox`HQPTo%Rb6#-PaY(!G@=tT0WaJa6D@y{?!yedn#YQ~2
zcq2*@Tq?m<oahkGlVJ3u6;HPY$p|o$5$`?xDFU;8)`rd1!MJZgagpY|w4)5HFqeZp
zu=okZ?Gp*)jI+?3&hx9!2_TW?!-b-+4#-}IudVF7kv?#j6<z5eWxG4Sa04y%fDuvL
ze)jL*Oj+1ps<Jm)RACec4p|(q*46jb=R2fr)NKl74z8UBk=tRjS{j>9?tTd(a&i9E
z<hDwBOktReP(BWk*w|bn$RoV`-UlNh7jsRE!inX0vcmZFqi9IMT(-C}X~4n>5+gBp
zwd6}5^9#aTzXXej5Jm`0hMri2Z*(`>%c{p?=M%B9sKV!aJk_lod0qbDnf9MC&{wXB
zc{f;;A*>Uc;Y|KbU?hIK)R|_N{1zYmo5`5k+KSdrOTOjM&3K1p^*6`MEZ2oBBotM+
ziHj^Zn2gb8%q)#z7dNvm5or^;C3Q&YgoMn<v!KwSgaMkvQg!QA21_kXZL9?sdtq;w
z&iV)Ez6|q(@S?$3h~eooM=s`)+;XD7dXwW2f#jt`nJNARqf;fDj(#Bl@SggOt$1SA
z8&NfS>ngUOPb6!ydN6|;KxCgFaev`h1%c)qUs)Hty4-6qR{eshQB~g0p!`J{frTrU
z!QVd2rB&YfTxa_ac$UVoWBwK%8n(jdy40&;OT>fJx&yI-B6Y(7Z|rY<u?!nNWGa~G
z+coK^S{!~#^=mUp!5B;5YBY}zrsJBAktJ-?#qZiBRY_U%a~9JPnSzN%7p;k31M9&X
zds7LJY0QnitzJK!6{SQlkS#R)%KaIat@6v|Dn~m(&+DsLp6!mn4zo8O8x>y{WjqqQ
z`FRJ~bt98vEss$68m6sj)vqa||EDqRTOCe$I|7R{iFvl{+@F1c9IQ!dM#Tn7I<1L}
zcX6l%i9aRy#^Yo%4fx%!@-Ysueq{CE7xag}$aFARR6U0I2w<{xOqVgw60@q5@Zpr|
zfV4~iB*3Ko;KY*J*`4kE-GBR*YgF1X)i>ThcAaK654HY@LAgkw54@hrRJxE*pN=OC
z5PXfD;@K13CaM@ph^rcbX?}JRvH?v}`d4alEXE2T1pn&#nD_Ib?9HB14t_~@hUn%i
z4}b1e3Oh}+Q}V0$KSQARVN1Wr-`<)GxphUuw$nm8t&ZJW{a7#{zs06FW%qMk)L6#9
z|9+lP=r#a;W%=Wle$xw>=b`7~m`ZvH{xI;Rq6Zm^ycpU#&_0FjhnPP(AO>H{6V6I2
zIm;-lX~6YKX$~}gJ}^_nm)dRT2*)FB?;?#1<3lUb4v=vI5zQa`>BEmz`;USK5_6!z
zO-Z-#MV9*l_|ihJ?!vq_^7SuF@1@$gsZ8IK``5G0#x?gaZrG1Fzi`Glx9lucCibh*
zWILIRXOd4WtRO87h%&ir+U_qZw{qAV;86(@gB+%-wp(TRqSwPY<Q9vZddH1z(&FNi
zFGpIj&*Nt+504F_)uHTU0t<am857)Na=ChZymoRZxw~GXg~t5qnT*Zz3r3{b$~i8O
zI5R8lyhuS|{rb`76m>O>fBZtnoc?$9V}|Cu8^0e@9;;V!{B**!=q@5+XxMP01s2@G
z>BU$$&1_8oYKl-7rB;K@pjO>~r|!8gxvCuVXjtNL8~`yNp`)hd*7?13N<<kfDy4dU
z5JD=gPqFKL2PWQ2SxhdIMwFDI=|Bg=`V8F+-HgPq8%EB7ItzVKi<U|{x!Qb#%YrXU
z{lJlCwJU&7dq<SQsNyl-N+z2LAgsJ*^2~41+L#Scw1~M2#p%ZJq8%jb!!j*euOCGs
z*lc<7*g?N`lk%5mbEb0ye>fSM(O=Kg(}e%4=EVps8qrUdT*$?JPbU@BsXK>9awdGq
z0t&B1;lHWHt(C7PQ?-|lPW-CqYp^3n;P#uESAIZ|LVH>HyYjSqY(HiEp;We1W6A9F
z99Cb}9PnZyz-Qgka(Oco*&VF7ya$x^G4sE=BhT+v8BI7H$GzS6NFlx!`((G#c4-k4
zGjvjE*Q6h9>&G?{m~CAbK6=t8G$Z-L@?_X2ThnU_`OFSH`@d=D8K$%c9cW<B6l~?Q
z45G8pP#-TIHWl0~`p>d?H?hOuWv`;ak=y5Bk6(!nH62a1yLh`0sLgS}!1`HBtTl*I
zT2&)tUmijxDUa7zD%P`DZBYG4Z6O}-9w4(YGL4AoE2g4t`vQE)NQ^GBJ_qM+NQ8-Q
znk=F@aj1ws#n7wQEB<We@&AbcHHc@^m^M~-MU|AZXeqFS1!b8I3G3gVK%Dk-mcv<q
z9WHr}8S25}0S`ycLO*Ek_qENwxuHnPen{ts+u{RcZ&CFiPl^K+RRRbTdzum$6H-28
zpG%4Tfv_t`>U8YRX_lltPrr~&j0rOf4sGqC0t##C+0w2KLavg!?d4hDleMqTsQkP5
zd51>n+|@QV$g*G8^+`IuSM~Wz%*A4U`+Y=G=LQxP3~H<N;Ko>3?pV`Mj6-@veN>us
zjIROI8lE0qt}LRW`<^v(C|#tAHmBK|DXMlYR8{5L#;%zipR1K~w08!gN-HX67*Hk0
z<b%SD+fuoc?alHbrz)cpCtxNte)Qg5YqRjHug_)MhlD+~K8cXK-6~3X9y1Wv%I!|Q
zE-5ApV<1&XG5L=|Ig@Dqngs@J+OjjY>C&>boWp66IlRw5TRp)*k47lZpKX~MFq4Dl
zm&F$6f%-iLz28dLWPNUe4c*u@UtjAH;y_7y3|<=h@5&e!e_GB><_};aS{QVo!!>kd
z65|jd)!e0p&-Ysw&im$~fbMz=J*WuiAxECJqxo3X+1HvSiC>9lbLeR~NZW|dA}KYO
zxv#I;P=}K0`~Y8_KCAu+fJlz0wM)YsKwA8qM{v%%gfV#S`Yna0ONBHgt!cdE`B*QL
zoZ@=~t-e=_<Vo`7B*@+(mhmDUB5mL{DB2Xm?5_qSVFI@4pr0fsp@%Zh;AnNdX&mSY
zH1Uf6E#<bT66^f&YW}W^ud!=~fQYARrUk4Ws-xU50#9dubHJwe>mHo%t=iYSOR4qp
zU30U8N$pC()`<pKl5&bJFe=)tw{s?<EoJ5{Z=ZRQdaIQi(Xi^ATxf#rlqnW4K0%oj
zzCmR^)ANx$SM|$v`g52{K<u;ct|9-FzyH@J=i?3RxyC<kCDwlt*b$iB=hz7F>=z~%
zlEr`LgD38?NZH#&48M0K61TM<%ab#xi47`h^?EA$yqkk)bKycvWJ91&TL^gxj`wo4
zFnrq57{(&^TSws}db}wyCI$eQ-B(8tzIG_>ko_Nj6vq|7q^^an8P)|yiPAst-%q+X
zy`C;kP?YrG`?}tuK-h(beIIs?4zP$HCAaSb*+E8TgKIxrPz+|RC)_uHPOWa)>`<rG
z82J=HO;Qu35g@gYGE;-_*qR&x?V(b(4*715#c#JgX?}gIs2(E0XECkH?vITpW`7N#
zc0Etl=%}JXSYCz!!$MFJx8t#3?b(8V+1x%L5EHM}x9(mr?}hXr#NcT8EO)TbjyTjC
z1m;Ql0=^Q6MANQa>o#l%>zHX8FTOn1T)&9qF}&=$K#}nsm>F3W7$dJ*+{>yXv4JS9
z$qqzbJ;QEVY~AGmQW=PrjTi!&hTiZ0OvkNKh9>nAkU-k5?U0HZU_F^qN~HqJguA=D
zI$VMY^=m23PhRQP)k3Ayf1?(H9-S7nwJ`;aopCQh%Jd#&d}vbR(N#eJp_Ee&_Lb~x
zO-1)29{XsysY6pJC(a+LlV_!S7Jj<dD(+dz*+;YF-l!lil^8^(Ss0K#5f&brJL$~#
zQCSRcHaE5P02b5S9R3g7U2UrQX|f>(^SdtM>$Sox_8Zr7_1Y0-u6WBgCJF5cl$K%A
zH&k;Bi~Wci6vaZOlNUa=+HJdF+4)h$KyKqpxpzMUGV)2mlnI$tV#Sr~kkL|z%D##%
z(MPO3`d7b$JhXd7a(>;g<m}r^Dt_aSrJm<fMia8M8Z(;{?~1OCuKsWzvuon!4VnOc
zFV4}O1FP_3TTRsz4uPww&Ox8;<xjpQkFBq6-IYFapgo+6gX3_hxG4s4*FMEtDxDo8
z)31Bjw(mp@9t_>P7hjD+Dsdm0US?`Py<c8Gj@Cf2^6<&x^=yPpLGM_OCi)kwc%DK-
z<e8Xg6<<0%HYPgeL-c>@y-jHrVPN7#zBsVlkXf^S^M}smD*KZ`|AEpu+nX9?=ggT)
z=iq|OE_*`F*=2ErrSyBszb*jWf;&a9OvCWB<^U+pm=AY!Cv(nF+5eVU9uOx3cM{`o
z0_ld195G&MDv>Gv{$udwE0o+Y38ywFRsAyqc@`<Tp^Z#qO$K`za+v{_w9_={45X7p
z=}acBT6~Ad35D>Bm@WZ7K**?51+4zHk1ot27O;^9gf`OePL%+{`UT~j<A>5R@ypBi
zQUk0rxtG{)Mpm@RE=-;Xyb{%S1uvK~PhIWg&bBP|1Ay^^6P2lq%?dwUoDk<aB-Km8
zT9d$k3t{So{i_-rCIyZAYwwNE#$zYmJ1UAS)t63NQDLUam^z`w6hkMU>AG-m0~^Kd
zTS`6)IgPRYXLQH=il4TOcaJM#RRNau?!nf8GnY_G*z_O!(-?E77qzY1pKb`Lcq2UT
zFVi1w*AQ96kkvgN`~0<4y=H{BubKQAMV#QF>3Xgdl3USXggkicdw{zt(N;S|tfY2z
z20kuDPQ^&eQKD8yr$^G9h|6*7)7^8BmQ;Wtk$s0iSHlo`#B)-50uvy?h`IWbmjN?q
zp3o%Uj<+R8Zxa)g#Hyi@tmFy-$nS=8zb7kHez=am6Y5@)n;Kqy(0kB@eWotMf6K;U
z^5x!T>AqUx#WC-?AO`Oz3f4DozPY+*czEk>npFz-&n)%jwl9rSaqi^W7gyaEE~9R5
zKl1!*AuKU+N7i_6+puAS1cQE(v2v?#6F$tz1!2m~oEDkc*%z@g?kXn8Ej^|X_-Eku
zMMfrCXE`Q_Ou*41x*>hvTKBR>kPC4VzhLlm+06@WwKl!});iZOjX2^R=nf<XWw+AN
z(FM3TKVUm#F9=DB7ZF;;w*z{6i7EXiEQL{C_mBLQ-#?ty)S!#({PSmi_)3w|FrcUN
zXsvl$8Px@S^Vqp?Cd<J2s!zLnlCP9szq{_Y8*EpJ<o{tOmtr6yt&pAhd9*|K!>|i}
zpnsAV;0#XSKUq@~qn(OS%4~zxQDZ7Q7Z+FUsl^*@SI>z>UmmKIbKbznmQ(xcJ-VgB
z3XSY2B}7i|38kC={_x0iT8FSeQ#?PvWycQF;Z_cOFBg{>m7bc_88tdP>!hD1U-6u}
zueRl63cE;|)~*GZs0ie(zWPBPb<Z5+oddN}`0eQEex&iO;$-^R{qFM6r6a?4BAzA}
zu=M;?OK5e!fB$O3Wmvj)ba$_D;&NXL6_QA0b438RN9Yw5rT@Mf;;ye}7wkW|H7`Oq
zD`n{*56d}*h~j{jX7?Q@=F6R*;O56!>&V>W1=swhf!9ARJUo0a#&%#St(UGSV19)Z
zx1^>`mo1ZiK*Q<{5H9C*pYQ<70f)+prve^;Q9>>);Xc>r50Nn&unW(;xyZ@h?4(LQ
z#FUz>02~Y0VP9|<y?|E32=<DI0;Pu+=N1fi@D2v!tqA&5dfZpL69acy=e-+u%V~6t
z!G=&PnH@Jk0P%0S?XF?br?-YaUS8xSmZh-B{#%>Nf8{f~kk6;05}n38VYy9*eL_^P
zcL{H}>7}+4H12V#44j4dLC&XMk;JtC+=ktd2RQ<NbyHbFg;smd(=ug^aTRiHWk1$A
zJe<JWdi58OoF+_6hO--CQN4s{+cTWI*peMVy9EU|L&>pk+H%YCdkG2uy5lTBrR;Uz
z9wc(1w?K_V3&il%pllh}wLP_9xtph_3ijq-N5^bUlf<)p1h(1;i`q<FTAM@N_~-V+
ztNx6ZRkKy@;=L#hGwg>#@s2BksBtwsWFYaU1JfF<=j7|_%Oq;N_UzfoJ#6a#d#^Ep
zhf*0C?1a6<+bpwE*jX6vL}(nnIP#q@D@EIyZ;%y{XS{8mNl5+M1V9XHh;{P>nFAZ+
zQNhoE>%QT%(9>K9VWKFa6_X-!*+GX}w_<NUdS*7fqxTIsvQ4PRi-E6WB>q~mOW<wn
z%o~rLrY>4!Vw%#*o9eGwgHI~)!*%&tc%ht#tFGM|+us{g{Y+icgjxeSbKOca{Laa8
zlI&Z#vTlwn4$sA|xyLACSd2R1z0(pJlM}zchzjusQPzrato&kW(JB!q&orcN7n{i#
zY_9fsvG<1Ft<?hBZRGkTvqwZkT!nk=FjZGkQIYN{$vvM~cZAGzbtv_6EZJ8-KjeWr
z=mN^ZGZ3_Zx48@YDUU<RBrvBnT=c~$%gW~L*%|8Id0W-MG!vU!&?CQmil(=#>UqXc
z*x8947|Plt;N|7#M=MA?=f37rtvqesbimCyt_%7uR%bR^JUhJ~)B;)Z$1}&dinG?J
z-es@<LicLg<rnPjC&b8hVI=iUC~Hb@No};|DWi`$8zGxLZl09VH89`}SZwf=Qswc!
zRJ99<z<Y6rVGHs-Rd4y*$pfR-bCyZU&`>uyI{Z>&?j>Eoj9H1^HQA+O!BcyNky-D8
zJt!zIS5N;Ng{Mrc>i;G8AKp~5h**2w-o9aI1|=#Zu^w_1Dwo7AsEwd)7C1b)2dcNy
zh?&*zHu>^I-Ti($@XTPB0CW0rt9Wcby4sp0L1x<9T$L6K^Pop!B07BGIR)|zCPl|X
zCV_aJ=*t}cQGXJPJ?@|cjjQgBH&9ekGBNtY#iLaFl{(NrI%Zu(BU0Q;OloEA(t{74
z)?ap<k?ttt%-fG;T^!HN@-F|P6XhXas06ZuRYKy+?S}ZI$K@V2IaA76W<LC|k)fF{
zsyNUqf|^<UFcb+ljF^ac;UZ%Et+}c92@6|Hi3(C4m(L%Y9JdSUZ^t2)$9byBaj?Z0
z0UMm8V~@Yygt38wHQGv&Z{!QaWBt!%D;%z)`C0t_%AL>@U0m*Hc~;6KAWHk)R05(B
zN)>+R=H#3&M-Vn1KKEb1&crduo0A=IE<})z0$Plu^7|v6Kf7S5<inTSmQR04$ww)x
zv57Q+P}X?ywuFA8eZhJ(dExBn%+>4uDT$?XgNORSCuT*|!J(-bfj>$%^nIKnfsA~W
ziM`So@Kt`U!FBo_4=(dqyBkx+l=P{HoJ5Ve?KdF@QUL>ZGB(+;paiD)1t^eblKaV?
zvuDx{V$w1)c8BtylsdW2bl3j7*NQ;H9K#moXnD>DnYQpiJk2SJH=+zzMcv(%PzyoD
z7u1oLcrN<^dZl+=U%-c`pl-27aHgI0Wn*~Eugm|}u&b*ps$6vWIUI=v!0@g*h4_6W
zynIvx;k@4Wx3Z3tvE{QQtWDJNwY99)3g53o@97=ECTN5`e|OO58iNQot4(GAtZ)yL
zyBBdYNB+{=eW<Ujq{h8#cqO-d6q2Q7*@U0{NMI@*%6Z_fx^QF2{D+rQ#^NNktCb;B
zxy*szcRaVMmWrS$dR<6^hwqNwqm|}2F#EkXhtHy}XU3YTtiOs=zi_!WZrU{4v52+Y
zr0J$Kn?Ml)Z;@zzW|4>PG#(xvaa}GpFx6=PfYs^}UZI|4r)0S|Tlv#IieXc@-n3L$
zvyEG@OKx+^Ejp@0!S@xpipl|=MtRR+gAtAXt$*XYU=4c*kG|yh*jA2Igi~7HpK26g
zyQrwCC8mY{%MCyAWQ}u{d_?m0{>x*U1<BdBVLB3$62Up#7koAJy|Fkw%D=zUJv3@(
z4F`M9PtEiUnRg(JVjbA^1MG~kY3z;+@%`p!ctgME#$H_8Kn7`!D8KAmV_X>DPxKy=
zah}-%d4=vemR%<5-ZlgBy|>^(8ze%zd@2JTsRtC(PaJxxRK4rX_2Kr@q3I$5A5^a8
z-M{U>_l8iU?gXL<c%-|);V-~)cH`#F^}oJZv}WnPAB;PjIqqbawtEb_FYZ8+*j*u#
zUkpV3#(`HDrax&LLUeoy)2XYFnxO1k10AnB3bWj}JA6?O?3i4G!laK{K9JDCx2lq&
zChI45Ovbt~Zk6QWWJ?Y@Rm%Nqp$F3w16a`}Y?L?O=A>DlnxQl2v-mOIv^~{4c#{Ap
zIU31Ns_VfF9LB*B#l8?-?(*$ya;^`dn2rWE#s8|fwY8OJ0fl0K!x{TaT-4ta&h5ml
zBjlBw8eLE#lvj+fcJf3)_YyI1H%>&(oWDIu4Tzd?VVjLrXxEEMA03{9L;-5C_0(<}
zD@RiNC=Ja_-ch!mqusB0lho<X=7whs`Z0X;J%1!Fsw}WnBi+@r%(bis`|kA8uI-4B
zb4wU3c}oHx(qb8K2g?P27yn~nDE&*BwsO6cLK~;`Eng>OqXRsXX?fX8i$|Y<;CKmE
zrwL4IXp^Rr303V}Mt9i2fzgVoxX_fF18o|Da;~%%M|LglJN#0?{p706@4eTT&t+(u
zR6iAHRAm=%V<Z(BZp7R3Z)2wo#4>}Fmrs|8)vGgRlM@np-%z1wef;D1Q0B<X@3DPX
z#Y%5Y^x}W491*=>)?l^^eXl=<rZ&F1e(>a%kgdHO%9X~ObToHMNl8Jo_N^=Nhv^<v
zJ|Nu{uU?J4Y;i<>KcxXD*MzsH=O>hm-)Eb^ixsuEx4&AbxTTBiq}j~3eE#S{eEqWb
z^`?mU%2sH1_p`cG9r(Ot$9l(#d-T%xKlT!rub9@xX!$@BbsoNhxLB`+UH)Lj^!uT>
z6K`l(SXgfSE;1}XGXw<W8}O^2@EHx3HKBezzZ1-Y_ofFNgT0-dchJMVwM!LCV3OIc
zq(n>Q<ya~2&0&<wJS}0O6KS>OuT1-y^Pcktfn(K}cjM`wUarDwvlk!NKa1FRg$7H%
z;}Y7#?$(zbaGu$#@{s8c8Pj>CjYA+Nlg+FgDSB}|L_>206fZe<EAbviKBGn&I$>If
zZ6lvh9$BN&U}`z!I=>&u<_?w!)8i8<W8M*@<+`UCLTkcx)+j_xaU1PQ>1nabm*}+8
zUVcNplcoWaXPVyf9OtpFNsZi)sPN5xSSNKf*i(%vIrhX|g`T@lBcKLK0v8l6>!RQ2
zS~g_?f2##2G0o%RKgF(8Jp`5@-ZoTTqUR8?{khb`A?3)8JO1)+_6rEx?hP%kEC`(F
ze<MefOoT0tTviC!tS(`0RX99&3sI+LsBF#>LnR$uQLPS*2$~l+M|flY&GcKo+mhc=
z%XFUOYe`X#)YK;JIN50j?PT)Xbv3;m!^5~dHaT-Y_Ac)3ELr|ll#(3SW*CsU<A2CM
z{`Y8&S)XKueDJ>=a4yjuOiDS9Onb}8sVJf>RB}(#>!*Nd-b&ainaGNb9B#<@GV^r%
zxIwO?1WF3J?w=AeRxAIe$(;1L=X-N4L{C<}Hu4;u%(uEQITh#GlNqD;Z+7<GmW^+p
zz77U{_*S$X)OG9ZhrSn#do&F`oR@E%#nx6ulvLK3!$I3wH#R<Ahz0`ThBmr@L-hS4
ziJx7Ee3=&h)y(acF1_xC*!SIOy$>5n<^iu0%Y&=yxBlGy_nnsVzy*YNR*d9qz>I@=
zvMV}|vKxQ+d5Y`mPS8_+#RA;f1CF;<>sP6(e}P#MHL`*`^c*gGzwI^xqI3@(z<E&V
zXY!m6AV4e*i`KOGgkC1PFf>%Pf}d|MKjN=%(4oZ-7_MJeH<;ZozF%-_d%{7Fawn_n
zQ7m+(r(S559ySqF8Yx-CZq`qz?C5svcx!HCl5Ikl;(74SvAn6@b$z*_SsBc7uF`lp
zTf6U<KI4`4?%&4zIwNQ8R&%|wyPjp?EUdBxu`2&M|Dcxo{%ozg%K73LjnM5+N5{tG
zfwH`yr*wL3u3^2a;20#Tj?*7si(IV{JGRm>m+7mOeYkTWTm)s-<yO8uSz8uz_7Av{
z2Az&hnXhjPx1>?2564h1*XFoLTG`>M%Lkg^srw1VleoDE1~zw}jNS4Fy6Y<^Iadoc
zc0zi$8kr+BRb6S!7Q+v)6FgGs0@T$oexhMAZ~31^Cw|?|rg%hXQ?%<H@vOf|J<r%5
zT+8vip1>|HKzU}k{%u|M!LyDTuo-(-PS4Ez&VYUDNJEv{hij;F>;@Ih-l}spBc1j)
zYzXmv__rcI1aozq$f`*X+>5vO)3qlR`=#!hKCpj(2Zl&LgZ_j(^WdWGa={blkI8Kq
z$Zo`CmiUo+<KKJ^%+FJ-+S!05h^j~8jG7#@r{Bs&@+TO24(N;7?>lU~NLecCCA(!u
z-Qm|5bFY4UO7QI$%+-tj7|~ol)<N8<={p(h`MpZr>jv5yQ`V%9e)rzD(b@cmvZ+^@
zBkyfk0dK(I%E@hslRVq9K*KyhsdH|Qvjsmpk4fZ}Bsz~ai`-jdtHISyZ0L63N-Osk
zm03h2W|FczyV{kTi>u-Z_oc0q@z1nAPSLbE`|7?~{Ql}a7(@<?Wq<pE-tv3blMMg-
zRZ!rqfh75zE6v7@w|50{rL5e%Dc+dFs<s}x4<0)7nJHdt`G1;xjj^Ron)|Y?lIB?M
zYSUxfehvw&t@&<7?)R^jw6?OMQ2!7YHDz<orp%wyv;M;e<9yeJGf#ZV9%A9O4-m30
zG>9sV387v8;Sy7yf7GnXch%og>GPYBEot%Vnn@!UnwOo;kFMy<qZ56BY68*K!_s2}
z(dnJPDf9=HE=>Z+O7j@tzY6mhOBd`0=^}**ik=&T_cUSVeA(>zNq~v<S!2%zhId?*
zNMJglB}bXD9NYcaSi657SkCSma?3UVSTMMmOn#Xxv}M^*Vd|$iUhkvvSw>Q!HIxr4
zC@6uUvHsH}3X@Q9LM}<vXI1_tt?llgCU6Fb+A9USmjAs&eFHt7HIJyypMU@J`Zova
zfrvQm8pkS~ncR+^JzTXaB*GMHhfutG1LWf(;xhlMJG&D|Rs7kHJs+{O>NJKg*V6kC
zbC-7dn|`vF0f2OV%CZ}L=aYV%Nq&>&{sRYcckUG5D{aUtDC-b)?hXwXm+hcFr+`gN
zt?+i2ufA~^eUUS^jFjT$kgSEqCtww3TJeEVZk%`~^tH2#z%@RYpv2$z|BBS`H*fl!
z<SLq;XI8fx4;XnjuUzPop3b-}^EpG_mpAZ*c<ghH4g4&);gGoab_DeADO+;m+sDVp
z@8<6Pst$-E;IhT3x5wAv%+|-taCt|ftbez3Pwet`J7N9$=`YV3(o`51L`7R=r*dMa
z|GU@=*Kf?M<!0_t?n@4_8@$-}i?9FVy!hQBF1$tAqYa;l&hCAF-M-z9=+JL1%t{z-
zeN?VriYpq0kC4UM0`I8#(IQ&J)l5qlf79};HwZ0VDEa^n$ecZQ?omUl&q&6LBvCcR
zIYhHUNRD(_^Kb?F$LE$mL&y;@-X9=mbH*AI-obrbTng@i1o3izfC4_?@5c)NEdlV2
z`13P!8;Ugd^z`WsYn~LI5lfQS#1*GL`X#ChI`Ru(R_rCp!<WPO!$8{yzL)l0yxh_?
zYHwTn_gL#KW=|B19pB#fIjeiBZ3Chxk2cGWRsp7;Z;vDfcWj8tfJdp?LpR%9Iox?B
zXSEj>O14jN!bZ^-?ObdWSTeuQP`5q6WO)}-SnR3y&DlwXu@`;7h@Hu~C2FL}mApgP
zmu4nO$F;JM_L6lq?Vtz;*SMS(Z@fk)^Lsce#7+OpVBmZFViryYo#=%&($aeDvaz>6
z^?4abLxP`~naP=J+q=kD@V%F3LDlFOtDW4+pKb1O{Qm6`Bi-n!Z1ZD^1HH;N+KeAr
zdT>)Z5Ju3+B1-mDN3u^5qpl{D?U#pkX-BXi>|f@f2nd1ps+(X2ww0R)Pev!4lSoUD
z;1!h-p0zdRpJZ(5{_g|0mi;qc3e6nV{mzp0*Lt+q_J)!3)>WJrvi{0jQ-xk_PT7Nf
zs&8959mjhpQLp**RcAJw^IM8Davoa;qsQ2mjD&~OctSLor|8@tKwTcdy#cPJx8Z-u
z2uqK{;C?#c!*pY_Xu`|ln$Ps;V|)Q#bVIM(ly1dNsGQ#R<#(ud=(v@B?+<uQv#Vjo
zvz+F=bDkyG+;<na3pf!JOmhE7@)W<o3MKx9KhX6$F)}>%FDQSue$Ot>ObA%bR*evj
zt+)Nj@`(`C$^4UdrY3iD^6Sz1)W}B8&Kc)1bwO#H;6N)+wT~1H2wVi5&SKNqQ<jSa
zLqtd@^dvFxu%~oxo0z;F@6I+vSr>MRQN=uLc++>khk&(suMdJ68o;BfP<pf(JhQm!
z!O5v)V!r9Mw)fQQedY~q>iNL~Im%SyhJqs%`T>J7APT%Ex;JcQqJRKG%ZJ&NY@;z7
zmtDRM0W#|^sEU})%>FfpCahF&&K6T~FfAHrt$tvw{DTz3TwGE8r@}M*6w^}#qE2yZ
z^VgS0HVbZ;1?v}DML9k?dKh*kL;ODrtE*{Im3>dC#QwI}%nM2;Y{^x+-s8&W;+Q1_
zl|WO`?z{Z;69}PEus}E0$wehtKTSM-O+-v=D>7UO1j*JI?ttCAF8yvGxSLp5Subv;
z0yS}Zon}v_j@9w6fy>X<^N&xsz*PJb>U#q{4e$L<xQf&`bW-MQ-2DAL?d*O%1CEO{
zfCn0euID=cJHF1nZ2vmbM6`@E7{u!AiZa?g1D%y9?%sV5b4HV+y?l*p$&5VIeR8+v
zXGBTj#l1U~%Z|(8EdFr+fR@=X{hs4%(Lfdedh&uc?A@TejS%-u%Z0_D<)%L*tX|?w
zlJUBMhWF;lvWkj|W2h_QvKk-E?k7jb<;=gnCEDY@JN7}~ApHqlP5nA5DXDa(4V=+p
zX}J*Tm>nBOWBW|fg8BFx$!Zga<;R{(6B6ij-XXm<Hq@Y<r@w6Jw$aVAB^|hw%xtIv
zl}y-8l265*dQaMob8`VDufahSLU;SjP&+Bhw(sb}X-58&yW3PPF>k4ot_4TAhVta2
zM~|8n#yLyu6?}n(RD#%sL^ra)iDJg+RHg4`+2PPsDbs4|vu@+OHA8BmK4>&fx_tiv
z6=KK82>YAQUzBd`dBN@OAgF`HR{1}W^l|{!n=_3_o&Gd}X{4@HQY7K`&L7U(SZI}<
zVAc?k9=7d4Lxp+Ju}7E&CdMpvl9)4~(AL&&@<B+qlM%!6-H(!C;-+^2^_VuW(UqXj
zJzbykv40ikgApvjeTcH)0%A=+rgCw8Hy9bU`{nr^I&>&bA^~q#w}2C<CpWV8J+Kll
z;e<IlHRUQIsMK~kZ*kUKqEBJ9%F5~SY!0q^7|Hz0<K9t4uVA+IFN)^7Z_OXPzoF%!
z$=MfxGqM=OpC(<{v9vdh#((P@+y$8MZz4cY%gZN8Z=rZHJ1D6Y#Emu8SAQh$f`ZWx
zvuIra6*g|%_zAc312`|tD(TS68fIMQ#MSl2P~Zhnz5Lq^SF3<6xekE}%y4&-C<bMQ
z>9EmqI4m>iY0f_D7fhl0cHen^7zpV6jXafTxFFwp4d)@*c{8O~Aqp;p;FD`=V551g
zy!7~JBH9#`M06xh@+w>ggK)s6=UB<QOI^0W4GEhgabN-c4>80JW!bY$a3%6~ae2jU
z<4qU58$ti^x9g{dNQc|LRKDG&6pR*hI$fxY3Bnl4*x_4_@BRKt^e7w8MdMJGKb@T~
zODDQC6ihe!y!jP(p&<2sSMlrEtcUERIxVG&1(oG9y|{%=PmGq4@8Pv)+8?JBxVc2H
zE;!s*=8^pguev7#AH7dueLc`uM|xuhMk1zwG-b<HV?CdzIXOB0aGtXrS-%pU^dLGJ
z&W)t*b_3vhoa(98Z?NaUI8`3HvqX=qfDJ#=J<FE%-db3<)??Qqb7;YfgAV?+74$K@
zedmuW9q}$OeGR4ayEAz*WXg&E%j>6zKHccYzmuXRpVZQ=&TEUDC5q<vg}7aZ4<j}j
z>3>uV10?j2^$-I{i<7njQS05A+Twn>3biNxm%1D!ghJW6<pkF9J%6lVDMO_+=kVFO
zT274s^(ON#F%@Yx6wAi*<OVJZ|K6u5r(xtz|BYkNbdpOx4L&rtAtyiu^UMGC6roqP
za8h0iw)=S8R@-|Ed^(s=2q^#?v0IQ@Celo_dJbmaAJk1a`@_WLh|n5JK0FA&cRr*>
zZ@9<FsgjYE6@^BfpF`=c!mEzJ?NR7jRwo$c`;u^#k^%(m?a6MaKZv6&OYAZf5_LcF
zh08c)-n*bR+hhgS-n`<X-B{J;=H83KWj;Ug2I#Ussz9u2Fd{DTLqi*c#mQ~kfn>&*
z%b7f9!%i=G(OeYwpR-xz<m7&4*=e}2%k(HJJm`Lha$K}cq}y9bDJ|xjq>;GLW5bVA
z!ZMpbJ<MO4HjFP>{S<np!vZ+FB><(n=WkI4!GiaIpx0W%->jo6je^Nr=wBHw?*0rk
z`5QDyfy2asWEAr%w8Oy*bz+l`m+y0Y`+U*O>%hw@o8zABTgOa)gvxe5Ou+PmU(;Jz
zS&_6eMHVWV$%LJH)zps8!Y*=7S*cWge;KOA_D2TFtoe_(M4~(@s;JNiR(yt5kkoz%
zHwzrQl{U#9DOiE3xwv!=88OfQ$lCogd{S?X%hIL2&6P5~gW7GQx5M-ZMn`cwFfdSf
zhycxZ-=4kl#t(4Gc{s#|CcO4Kst}L+=#9={uwlc>;Z7a@`?n;+y8GmNvlCUH1G0YD
z$cor*j%utR_-942|CZ$}z(sX}&y87d`1q#ZkF$O^R|noszbZGfUoyh!g}I!PiJaKw
zub$8XvVdo(NoC)YEF{mll}TZ{?)mc_*(2190+6pUkKCICiINX8!`OU}C)R#<?@vF0
zaUiA<IV>g2nfCH5V|G3*z(@e8_}m>EEV~Qu6>r$d+?IdtY)VTyP`<e9?=sXL^LT9v
z*+fZsXP18z=hpCLc1X!25mQ&U5s~wEDn3bk5aogLwfOd`HJZun$8T7})njDVH%o*7
zXC>?_SEu+d->R95Bh-~N4}#;isfd>`Uc4REMtCLIKbtrALL$HE=FOW;KBzH`0WpUP
z_l$gdxd!-Rl%A8)b~or<AK>!L%Fdpt!SS=B+URwp@b2u?(471+&xav|i<n;g@0K1s
z`88nmz7~3qH$KtALvk(?46J?ZjV3~?b`dME`lgp*VX}j*mwsMA4a5KHNebVf^Ci}V
zwR!y|u=HN%j!9nSblH`>5&!h8EioC|R4xcLNcpS_R#$K0`v*ex<RijsC12Z2xr|(M
zB_DREyLIu>wAk*D10e|u_f?d-=Ij_pTdLwbJx#{<(d~*@D+b}rI;5@df3F`27(zwe
z4L&w&O0i+r?%n<OsAAgM+Quwl{A64d)dxXVQDdW2)esK~Y^aH6UcAp>c*@6>EUDi5
zTr@tyK5`Y;;+*#L#QTV`S?_@=zXY!T?TCrVEB+olmX`f8c~~rD#x5w2X@o!T)K+>u
z9ZfQA+g7b}PXReBks)!Aeu{~i*&F^T7a-tNp&I{Uzj6ZUrk46<+?B6N<y&3Pl~(J1
zudS2bgurtig~dRQngC#LWlX<a5b4SJi<egj&7p)j*!OVAxI8Wo(diVD;%X$%kC{IV
zZG*0O@kw;{9)#}SvYl(45}T~^)#Qa0+KsE?6ql{o*O4<@fh9q-Ahv(=bH?ybUfCiy
zOe4F5QM&g3%-pw}jW4uh+VT<MgVw!(-)<OhJV{}JLw(~A&++T0N}s{T{Y%kNQiv#-
z@Dy8vk7B|YtEGIn=ns_s*vj~}Dif!q%tn;w{_-0xQ`j|qqu|d}NzFT@^{sQEH)n+N
z&NyyLyjyf*#K-emq>m337HIiG(>>Vir#Xv&CxEOM@4ayg1bS}Qw}e0MmisY}UA*i+
z`Fx&3g3U0JhTA#QcGq+a^>yAEC6kY4Jz9?d_L()bfr@;V()WPZf*u?uYWcfCR6Eju
zGWC6S!~T(5e+THlzJ*NxUD<z>POka)cl0(rWn*m_=jvbhquk(zfa?sjoG}YuZrP(<
z2Bz`wX7_^!uGBp_S`5Z3bd=Zc4VInb(G-<5DwR2Jza1+YbQntlrH!o&MjxjzZs`sc
zNKu4ZnYUm^qjy}K0P_CR7yl%bUcJX_bh{q;a0jZF${r6#=&7&U*f@^lArG8~s*$&y
zapia<pZ!<oaPdOlW3`ZC-QcM;irn8^#`gTlPdIm8co&h&)nJ~8OgN+~-Wu(Yzt)^W
z84wVV_4h*JD~cf;`<hqk+gfMAK@o8PYodhY@;g(SDlRCHhZ86$7BYF4>}r(f>;<_h
z8(dLDou0435BJ`osIYQ51)qJ4Ui094wMXaQiNf;ECGR!AJ3A`-u1d_s@)v3-y(%do
z*`y0C>D>9G*anQ?-od5g-o0B5P1ktIq?H!$vr^T=hbcg>Eg9;_-h-!Pu~Q_@*?55q
zxz`3#8J29XrfMx;Ru^*Lw4Sf>QA+0?83OomKRf$SieRlZGUa~8rhho<-`kmO{khbE
zn2Kt&ulzDW`yVV|4O1S~z+O-0?OlC+9*`rx#8}KTS(k$deE}WH^tdrfV7qEEtS|mV
zkC5vcH7ztpUpK?EoGyMuPAugWe$BTsZ!ol>y|OtmvRbf@1psRSW)j5Bt7~fLz%zY!
zF?_rW)FA^rXkM6xA#$r?50$t@py$@!si9}>BXQVY+M&qI#uo9SPrdB@{U+wpgw5S&
z&=?=R9=7sXO~PzmY2Gb4cZBPnpS|s5wBt@TFOlHLf+-)r<vWPNmw&g?YQ;$#)UomU
zsoveR2mO;K!Scq5UdS!W2-yDoT(XImrOV0*)XOFe^50!xkm<vpKi6tVynpbEGzH~v
zQiN0#{x8i5d`nhR`8sq=L8$h7T`QwJ|8A3|zi$u{m8PO0Q6RS-)!_{z4gsoTk+Q$$
zf@L&9#eW0CD(snAZ&S9e5(fc=fqNBFjnA~Ky8KM>`d}2IVXua(mNAm%z{lI<u4UZ*
zl<p-W&KaqWg<TXvU<@gtL$Y?ne4v94G`e{3>thW4>oA~`k(n8iVzhF`HBNy{LsaZO
zx8LJV=M}}VBDA_MQNO4K3$uO+67nHY6ETn=A<g!11i&CLEp!mNa>Sq3EJr_r`=U4T
z1z|LDz5|a4=Wl6yokfg(SwjOU)vdFVH#F$BGyC2dtm5X<&$wXx@ai-6a+!1I%?RLw
zL7x~4G<(!Y^LKJLQc@Pc8~Zj!4$T^3!n=Vc7(i06+j<d0VYCY2J<M(ech_zEdD(ci
z3=e#rLv|M2B_IaAwx26CVLMZw$wPpNUmf>V7d;lut1eXjc5@i5)NHtTW1yZABwOu!
zKiJ^J`BMsgR`~5^@<+Y*hzo2{u3!I__~$34%0x|Td6ZOC#=re1gZPBw2e$STI8T2#
zQ3tX{11aeYv&t(#2U(mYg`dn&T>kUW;WTaDK#U1)#~<rbMMcWF`9i4kx1heI#X#t8
zP}CWi?Hpd5Z>Fc_UQqA+4iGG^@swdBDuH(f;2`<G{O<0KwzRP(6LIhM#`9E=pRZH+
zq%3^1fSkxZa!h}zuF7I9m9i?TG5>AqY#_sz6;wT5aCaY9)Xb4cSsAF2e1V5{<G5zA
zenNF0TWB8XGPMJZ*jocRlT4HN-w=0>&^KhGh0bYi0yW_zw{z29e2?}c+u}yl(_PzH
z6acyK_o&?oD%p3wq<k(k1;##G9=5rzlamtm?@#N|zc0v=34Vfij@L)~RcwHueSkST
zdtH{DIhjRUr&r!CocsFdb7o}FI+>J5EBS{RJ^Bt<8Wmz*YQgZj>f~P9%<}Nvl&b;^
zoSB-pKNz$Gp|}|YV-!Q#%5(P;J(SQ{HNk=C-d$*_18^pg{p^9I9~susS&}iN$d0{D
z<s^2Ya4oC{6+ceF1Y-<FS2nJ@1J-$&MnHe#V_s0&Kau-uL2B>by#;e8;!X+eKXk}#
zi#XS+OflaTN?B>Uu9=k-{r2&HT_-YTj%6nuz6UVk<xUZ<QH%WtpOk;SXQcv7shLY5
zatWc{&dp}H%t;a;4sb+a-HFK29ZtN1R+k<k{uh|ZK4E+H?fv#hR`{7PUtGCgQMA}O
zzJ>_(07DUF2M)}$p1tpl@(thn1lUTxT|+vZ-V(EgrFQfKCs!2!*1LcIer%YJk5AU#
z&feY!7#WS*S@PVuKTx@zs4=Y{n`xSKnE@dAmVMLe+==czoe1uJM4bT`VN5uA&r&3?
z26tc^QK(=>M@Ks}<jD=uMxlMtI`}wKawk{XIp<d`V}Z#^+w6@#e@ES#bip;_fLqQt
zA-xTHlZ*^w?BT3Sr<=UXPQIeB2l1G6p=f>OCYzlCwYh+p>!C>iAkdp{dnk}gc@yl(
z7jheAcJJN@ELaf&zwY`64;_@;+@3_jTkuK8XlVb?E^tQj7IcVPi>Wr9z>hQf*yGim
z2CJkGyZ_m9Ed6k(Qo1fYCkZF+9%?SX*ub*?ItBQxh5n1bMhY>y@cr&nC@%UPWiZ>q
z6^nW2tcL$yBfE`_4FSY;K+D2@Wi)q--?O{YQR`icpC<LG4rx^JU5Yq&wvcbRb}pM*
zu=_=M>Umb8o|9?LInmgoY|n~tGprHZDw}QX?3B@2be$D%XCU1Y;RoVn4zLe3CPs!<
zD=P&lHhffJS3Ck<IXqIt`~tNyD|JD-SI9Qbb^9+JEn1ixS(2%>UHnfjpqFj}6;R8|
z{f<J19tFCJ*!}KqWIau{Wvj2@(~s7zFLspgzh6)NI5i4SxbC$dbSSZ_-=bOY@bmK%
zc4^ud5+`mqaMBslp3wJkUY1aUnOXcoWwB#wrAOIb5gLS`6B{ZCknuCz&oyo0dvdZ7
zgP?p%eYf;ge=Rv(7jJTMVl-g}iMpQ0wn)h~B$g?-z>IRg8vG@W7(m4OEbA#GW&kI}
z%JU4U)E!3Z-q1oBMnBRw`|sb|I}1SV<7giOQ?Sk9{TLc{HiLQZc?v;!)IfyHuWW{m
zuoRqn?ji&5WKdIf{>XRB&nj1r0ve3Xj&!3KQM|Sc!2h|E{gJy=LcsIq+raa+5j*+6
zDT)|W$rV1oBLD2?yN$KCKE}qUI!zv2yU-Y3v?o7!cTo9;?oj%!!6UrC{``4};^J-6
z6R?y04Ss@_7>Uf@bpPq<4jcK0e-!VmUUwaa&`h5t;6gZA(^qlk<<HGNuc8@7ApNnq
zJ5}D^zI1PHKLaSR!nzX5=&<dFJsdtu9J1Px^l$5?OKRSevcq0xstWNtCCu)_PyTAk
z75Fa!X;;KxqTFl~BJ%}wZ3B*9KnNYfav?3g>azCG2h=+W;7y2M@?{eDs^jHXyTE^D
zV(mvt*FAD~=Mldx6LWn_(Sn$V8H)9H--MRyo|?Mb=}c*3Q8633-l(kW80x(?eow&m
zrU{K-kcqIr4E=os=m>p-*Tk9j?O>piiJnQsMJ1(Tr;BQ1loJ6-yA;(t3sA~#%azq>
z^Vr;NEEcrOTy>>A^n5sGV_W*wzGUq0mwo$hb!Q517^q&58tb*#zrOxU$%`%fY;N2*
zd8aB_l3O&@(|7{F@lAP7;OF(PX`N1C(cChMhq?yJq<9T>&;Yt6mV8>FYk{<%n_X#W
zl1ZCag1orbW%dSEfXw7d>~=&^8}hD31|aly!86}@T+or#%>9W{=mJTo8^EW|9(?_7
zY#?j*L;)Y71t`bQAUWE!jt7@NLV`Tz9@KMJ0gE!uS7Ybd+x3g^3Ji<2H&GZQ_%s0<
z(RRaPYIFRZSHUAqNo#^Qgq6#>x=?HMx98_)#YXQky@@3cXL21=XK$X!wztq~;X@ow
zwzCl)cPP157Q#=tK3>M})3+sq?J=o7v_{eYzH-k*U!vPyc~#EG+(MM&Ro&ffqfT_M
zT!UV0`RCyJdF$p)oPqgn>W;aZUx=k#VPWBo!9jHAW?WZc<#jSZD%sELttgB-l*1Ji
za8NGZFaSN*l`AJ=ly|aQS%+%Vmub{Tk8T<O(0X?(#-#tOFjX&GR<yd)s^n)^h8&<{
zUkzcFml@fLNv1D1J#D<3Q(YnPNF;AYVO_P`!?SZ&>td)0-U_sf6JklTYjUC&U=7B(
zTld{|VDmfQxU9UBs3n0YBIE_Ry9SN_3HNK!9(Q>z2PjWor!&>?7Q{Z@5rXX+tzXVg
z$GMi~Xi4c9T+m$k#`GK)_m@jjE}cRl+js_*u}K!qE_xGtdP~m1b}T8o4~SdKuM<%u
zp<!}Mz$J)KX3uNI#9w(7hr7Ya!O@XBH@~o;8%9a}2HNr88>V+j-dbrv(PiS^$E5JT
z>s=Vhd8Ix2=`Qz8x*189qMbeWqKoEi#ma6#9(6L8gK`rDc7B$2MLfHe3jJ`t6E)bU
z1mXE*ruDj>DjVWKVHaHIb%eEmahg9c)Bk@WZ7h~B)2f0>nMmvAL00hoZUlV;3AHj1
z+!|=$Gcq!sy&}c$Y-F*ncJg(Unks<bh)@pr=>}j~#{-!!-Fe^1yV=K~+tFuszN}1*
zMb4E4YOxdd+He4ifb3oH1O5>AID6a9EnB~X8$7v6MUUxl%uSR%H{XspMr^?e*?@ko
z=KZpQ+TfJLO@6_VQ_LZco%)-rCq5m!5$?ufel+ZI$FoW5jiUaMzg&MDHSt~R6w=f;
zH1ytF4i&g=U+Vu+^&a3{x9uPBU1>;J2}K#n$cktnWrYwjGD;bhh?J3;GKvsVGKw-v
zR`!g_R#|05C?t{W9p2AH&;Na2$MHPJ{X9oE`F*eNd7bBHohR!9E=POKZf9P7sCN)D
znX8yp^`iNWcZwRfY9!Z<oDRnBpskm;oUOQ9`{5ubUGU-A3=4-|rI%;Uwfu4s7O{G>
z-;c&j<}T7jpHpc-y2J3ZB>ma~oRp^%58kI}!ooYlg_`?yLRSUDxB^2eKaBUz(o5VA
zE6HB2W%5(W5Q|tC&mpd`X~y29Z`-jVN;yLaQ!U<A;HBF}yK)T;>tAc6S^Dal`bD!k
z?Bk9Fi$1XrnxW#S4QgA0yJsP!m|^#72*r_5eiCazv=z8W_C0?5Sj;lSCu@tFP`v-H
za-Mp{zFdW9e)c0g&+}qG-tzea<dV`laAgeseaA0$4Y@Yd{o+2S1U9``(vjhUiX40@
z8;@xY-nf%Jxz3c-)D<XYS0M*1=8{kf;SMnH<QIQF!Rc*v{_rRo7Lf5P9jR{BEDHOF
zdT6UdCi$|nf5IpNe3@DVr8)eb+HJ2Y`BE~HV{9$Olm`dP+8j2+n=I`$Z}rTT<mD+4
z<r9ceI-$Jqq}L~-s?jJ|IEAcK`jyb3rNI++rY%<oKS8B&eE4gAtWZhyDXk#ybs2e4
z<mYz_yS(SpYe*4$f3YPs%}TXo*HS4sX%Xl4tzL@PK0VG}@5Q{A*Xtu6rnni*-NEFL
z&m)}dR0x9;-TNu@zw|(&b-EO3=841|wzmrt`5<d_mvrSP(%+ITmgesMYeRa03d;<k
z>Eb`dqxg63lFY$F=BLswR&?dsbpKiE%-vF2Uao-5zk}x2t5q2Vkv+Yqc3}y|X&ZZc
zx9J0bxfBmN{ALDxa}TBGJ6;eA5kLPHm606Rhvdi#{W~)m3*d;2H8w0?Y?`Z;eJYVt
z<pWHZ2tyK#iX<=}2h{TTD^FCupFN9rNavjg%yTb;Xp7{sR=To+(=MzxN8Qh~WYsK+
z+rBF;pSVR!f0wuARaPT#14l>4w?@A^3YpNW)MwQI85odO_w%6_vZ%Ua{KwE$Ru-xy
z`kn=JK58S<)iYs-z4tBuW$1!)9<#EJn8yA!KeZ>s`i?_;xgx9w+W;v-MOCf_hDLkz
zq+rVh`K^qMw{b+efl9h6+p&*_;U4lpVrRdD>-nJz0Nv1B7<c^d^4lt^e!Oq4D&GJt
z5Zph=Bxpclb9N{<mbRJ^_3oE_kyMn2oW{6-@%VS$m{;>wk*8Tlm%jF9Sw-u($;M6k
z5C{?-FFK94&4Na+nSpZoPKv+|LYP4Ke`D?!{m2d;VdSgLN6a`<Cyz8!#$J1NY~!K#
zva9a0D66X{AniB%W;dF%tH-yoid!%sH6g|0s?nPpDN(|8hmiv~XVZli?E2bTlYPz;
z=1}N~zMCflhgseI0!dSY$e4aT?#w@Kg3^6=>X@QSK0MXvnCEoEFviRv+xLJ=nf@WC
zaL*y<`?fma6wb)^VEmYK6(zxKdb{F|Hz6hiW5cQyF<|~W`Fn+W*hRUGnY;WXPVDab
zu=b<ZUfmH+z&Ml^fj(6cKU4+-g!k+g`YMr#5o?uYU5}29UQ9c-v+ck>msNuJrker#
z`P%kRW33lU&;I;S&K4c$sQp2aeuK$*AnC8b^alsig)6OT9GY*|EI-}gqL4#Z5bRrl
zU$T*N5)5L3#<6XlSg`nd&+9O;ODDJf$Jx8`FFJjNUHdNnY_UtRzj&LLrs47xcsDZl
zJKc=+kQ2ac3+E~>JNdq#@cYSp#7q9%DwI!a9cag!MVRky8N7(yO_};2+fd#t-y}kd
zdz`x4z-|{xsYoZWa`2eDbM;T*ZeaTw4dRO;dzs&YRjm4Zi2B}y6V_@i^zzrg&F!1e
zySDL4XNFCD{*Suovo(*d!rl_U;N!Cakkdw<6OZfT-CTb5^*y)n5w~j7&XxA?^c=;C
z&V=n|D@B<h*GUT)h9b1Cst$Q(Q6*WIK5MJ>V0A}WGP&4X&TDaSVB%DS0le{!Pr`Th
z5<PaM#+!k8oiU<}%$!G5jJfq2+c7(~CW6x-(vNiMKKK)LF4+*M4(=4~bU}SuLB9kf
zalc&6wG0LmFI|hd<TWY7Ec0ip<#-)3T3@3EQA(@QH*<JbnCyD>gu)Z5-tFL*6hQI?
z@o8~8Iyt@cv&U2+i{89(y$fG4-xg0;Wyc$eT_y*-0e)~hc9GZrcX){Bnsv>!0cRr^
zZu-R*zi?5seslE07saa!${*KWs&-zzaw2<sd%ciIno!>F9Aa|$<le|jlQ}9L7EsJL
zO>4@zc?%doL%HR3QBg1gAG6Qtd)zpGdCy$lGh<gxp$G576kXvjOmM#<vbG1^l*GF?
zY;?imgSs628{?qS+&4T@^GJ;HzYt1Mv><nMdoyoSXegUIpRNkK0r>rCJb8=HM6W<v
z@bZW#ZY$jh<UN9Fclp-cVKcy8Ek+9%ID%e{WquWI|8W(*WsP?aGJKY6zE4${FRI&l
zp{SQXy%dfeGl5fm;I9%ta4*fDI#aUEs<<aNtXj1yVrMDajTw%LLjv+<hY<a+rN^a&
z;5rk3p)xL-&NTk>_+x;I53b)g_#f6t4!`2j28ks3n&1610eXj9i{hr#d5tBbg^T?K
zBNRsKya!P00+K(#G}2Qz>E;|XN*x{<TW&z_932}QyFGSM?{IoqkdrQ%BH^r?-TqHC
zcdKz`2V8m}HC_z#hP_95)MoC75~A_-Ui`FAcWS)6l-}z>o!Gh6@a|4(6I!irij7YL
z13Ub)>585t7;~V1J7vs~<7oUH*_*P+u4)*{sB%J=l-S>0`G8kbcCB}rE`^E*KQUkE
zC8FGx4R&eCUctl>V1ER8H6h>p&Sz-2!B?6teXPU?{7<}xO!pqp?ZhU8TlkeMG6z8t
zD9)2kKc-b&=rJ{w#KWWSxl#*uCb}%XGe7*3cj~lT$)mFO|LPi74=+AYMYx`I@)Dwm
zq@0_!V*hiQW`305#I#%KY3K6K3Q0@f_^Y?};jtZc`&`9sY;4|wjC}lb0nT(o|D_79
zqX*F5QCfufRJ9$FlrZ0EkvIOyH2KiNm6-P6X;(_YkejwCQV^n4uqTF9bwz`newl8U
zQYF5R&*(#))XJN@^53C@(UEm&BMH&gLy^}`w4yiigbd2EIV$<^EcR4<>+Pj*fum9T
z^lL}W%&A_9ejtx=ch{l;M-@2hPb@h5Pt*w;=0Ls`TdS2ve0`p>_-d4R+y7m5ER$i`
z(1cItxR20}jC1myuJ!!yr~Z1j^zU6d7`5*2D<p9SCO;YcnxC24LzW~|06Nl((_SyS
zj?4Zl#`>6wu*orGlbyqC<+^!g#O&4_c7!T<G;vL`LXii&y@`93!`+YKS8B`j4GO{s
z9E%>-;_bBQcXrL(>YApet#Dt;<Ixk^eXBFaJ4RHBaum+ME5)<x2%wLGrU9hdev~7p
zp4Ky=z1Kxqdax;p>9Q|_#Dho?{Hw$U){P88F6G9!&zJ(XxqT#!1~!V6MAbZzJkUIZ
zPG8NYeeB94y2oR=XcsmCCp-B{M;39h%qVBLVL=HTLqFlswtQfg_#VGopCm0D;PI=-
z{xFx!GrE~;v)fdU*nHsjq#NR6FS{wjVP*}llkU%K;>eon0mp&D_wwn6jKiYE5V@|J
zbZZomDXkOfh*{jR&&#_?&lu-%OBM|f)f>YX<svniOt;W|iT%wN^7Kl;<A|Ku4^#Yk
zlLDjP&tBWC<RP17xA@lyGC9!`fe-7B09&|?ck+3(6W7SypO*i>gHm~fm%+37Y<&@%
z)<;UjvIs#H6niNWgE17beCLFzcS`vn4ee4}A7-?BaDAA!ant>h>wBm`^Me*Qi_hnA
zs5_Gu->~$(q%3`XFns+q`0azkD!}h-e%9`obeou62X)dtTgiVvw;`K1YL#guqgRNh
zv?j-asC6+NuTArYqthm{<DNj@_0m2DzQlqZ%>aJRVd6wBuTP-?CTe+Oe&~Qsw3;w+
zb7Fj;TUN8LeAgT<$VL-u$H_UiJb2L#LOxl%jOmEsYZk;H`zfsHju$!Y-i~G3BXu^>
z#-g!bq3T{X1qFE!{C=+&o?>De6{XP(n1N9YeJ1F26KO-@)UXR>4Wa7M6*ZYDg@5B!
zSahD~zXeLljh5NuTwYiG5`sbrY}LAvZ_jyu)<;mB@Fbj>eaa`Zwc>u+n$@fKI*pmN
zCIN`u>TjwF`b+1jnk>LIq2?hXoV{~rJ$)?NVPtmQ#`fl&hfCmHq;FalKdgHB`fFO6
zma>@8W8Icgj*D{czl(0&u&m|aePDd0nU&V$?NeIOTnvXvqfz)<fN%95uVQXMF^7p;
zweHK8ZI~ZqfuME;)G6%P<^R65HA>(@sB$vp=s**{cog&Jm?7|e+zD!&oQ9uL?YOn8
zQafY=zojWnoVA74JlNNI8Abp`lEu~X6j~PA7nK+X7$C{=e!hTNWDC;a8nf`P|G!_y
zS;Ld|UjDpW%EdII<dkzQC01%`4<=`AN`=w#O@YG&VY3}Ipnt`!GV#bkSY<x9q7S~o
z#lQ!2VED%VkJm$-Y_5`xIM=%r-PA+bUtkkWHz3t?>9bMeh#xXWAs?O#Ood$cYA4&u
z4~_|I6b@r_&k|V8r0DkEsAHVw7!ewc|6(cr??PWsk0(r22{u|qk0q~D6PLZ7UKqsk
z`}9ruvY+FEhsGKi7c<zDth3|b%6FVQm>+c(!Nod9o}x5xr+EK`kp3GH(}QhMYZitG
zIwf-;h*o(tluIOB)mnhP%qE(_?*6&8;bH{T7O%$srmx35c};e$Vix5)$t~Gg?8XA*
zL30c5<}GZS71qa!UPe87<a{qXgliJ3rYid#ltafSCRA<a3B7}J>~Brv?oI3EUAU-t
z;_Bl>R_YOG;el-NV|Vq?c5F95vJ#s~#|==%YICHU$he+*;vREH-hb<w-*3J{Gx)&L
zV!pi6{J`+Rov$<M>IQP?SI*6WZKr~Ql#7_=@7%s^g5lEQvD^pQwPrWyMQt&fXeVfV
zFQN?!s~C#8<5Q*A1-&P|m;*1D)Ts&q)023^DS%L#sgQ^PK%X~Xz3{tWW#q(g)3@-I
z<)=`u(=U`m))^Sp-B;d!wJ4PgGsJXk5V6;I^@(WdluQ3O)Ri~*fertO&dNXh=}eX_
z5j$;5%yztoYL<?c_Njg(G~^1X<kDe1#z}FG9ZzLEP0sK$oJE;n#)Jaxt2n0q2_DPo
zm^#zfwm+$H|89BlQ>8)e)TvXbq}i!s_VAw(cg>B3$y1<rdWwF|&d-}7Kb|BCMx3S9
zX>=f}z_x$FisQ+9@=ux^Yd0COX}I`z;ObjLyD)dwM>~s~<K6CdNi^Ux<3zSz!49nJ
zO*Mx0%)!v__!ZF$Vi#*!<4!y=$dyKX;5{NWLKMR16~G2>R|v9-R3pSFan0X?@~L|6
zVMICcAD|D`Pr@Bo)hQ>tIMYJ|>(lq5)i*dTG>_yTWna5My+b1I?tFfp`6-+CPr<|N
zx!H>#1PsA*F7q5QCq6##qeM94=Hw1Avi{b{WG|Fx_MJo(V-YNy=`N>&!jf*v97c*`
zxz${q;F-Adtd1OcqbKZ$DnVm_jjblhe50UXo05ge!FS>L$-U#l1>G%uNCdDOQrS43
z6Xrz0v+x%cg<wnPG&Y1shJ<W^D#Z&AX|TB89d8cw6^DWFk*Y&dku9!f`k%)*vedyG
zlWvI3zE~WxUA+0{pFdIGN;V_7?w*K07vA<gH^Y2<ZZasJ*3s|@Wn|6wJA5kId~91B
zE=0KWZ|fRC$^hv=*`*l2(=6K#U5k58#mki-pIQh5dYi1)|MxbVc$O5nW@OM|JUP7H
zd8O?E0Vc~Y`bIXjX}4YHZSni%bI6ZvnP5JCR0;PRL5oyl(E*BdzJdAm;Nc@kh)oPL
zY0RgD)W@v$Ev}hhh%B?IMexj&LIuK|-(Y);r$G|S<Y>cY)`NTL-t1Tb1sdj$UsSty
zXvl9c=g*fTys81-*NQS{^YimxIx7+JQVPw>a548qSG6@Mzn08uB6Lz39u$~3-!4+x
zkm}X<PiFMBYH|U?$T_@;ykJnOsoU}Q--~726T@9>sGJA%-{AMnsj`rh1uELK-XrYp
z5M{VmD^VRP7vMMG{=&m2#=CZR{D!Bou|4bOO=pZg)e_y0UJ?fTWTT?C{wY8^+c!`9
z1cE(`fr8~&uCRUv#Z({2uEex>5row9-G@Z^+f+0rufZu`7jpb3&4_aPSnd(@ubIUJ
zZ|Zk{e^LF`kB;NJ3^%Hup{XVj6h=0ylTLL0e3sjNlXlHI@1Xo@$K&`-8n6^Nn^#Aj
z{=Y)pkoFvRFAE4HnJSVhjApX}W}?04-u{R9#4`b=)iFOYC?$DpMd3Ty!|%&Mm9b{c
z8l8g{6Ojz*?3^)6S|W-Y?RZnH96!Or@vYds`v}Vm)$mW|qXAw8*M4lIW|L-pQ8_m=
za}EN8;nV|{WVl<E-cje*60_3(ef1IXz>TCj4l&M8mxXWX+Lrw3Eb;>dbW{b;U*@@L
zn~_|W8Isc8qL&f3(z=`Q5IWb-`+cj#pm~m$mE5$+cn9WM|MBb_`nI@U+pgCI7UVS5
zM|}mD58igovMs<(bKZZh$TbDV<Cve#E60RR;nYD-8hG0%&#E(>p{@m1&|looMcwIG
z;d$jkZEY=yx=CHD60h3;gaUe4DwsAe(rfS!?wxeqeExMJ3eKL7q2v(&^b>+bhNxm7
z^nBss_B<g@`WhI7<bsO*xS8_xt(2-T$an6(UMaTfDw-LK`c4Fb^v*Y9P~S>n(l6;8
z<omk^@mQ-ZC($*t6ftwYu|#(zKA40C@L28;?sn`wO5+*3(l&DCYpeWX8ImQ26#Zf@
z@#Rd(%F^eyE@SZ~q2(=FYrVB=!)06K7<SIG-M&)n6`f;rENmOozIKVCl_4qgXo)<)
z_NmU*dWT8&ySEZNvqV!Qb?s+u3b!wg=_@qj>#)7$E}Q#b&48EWH3^aK?T)8lt+WeS
z3mx4=ak2O{4)yKAHPjylgKQ=q#vK3ddxRz!1LoKd&rq(*opp7>Cjtde=j}xvR_vuE
zyzP~!_e9n6|M}{+p2$f;zg++OjzGF?2{8~uyRO%gS9S_~izb+tRzD0(Jy7U<%2La(
z_yUw)t(}YW^VMtDWYO;)alGP2Y&O_C^J2f*y&p)<|JL6>15M@kpRLxKY!``15(|-4
zGrRu%T;9afFN@OhRQM2K@%+OrO3Fa_SLa`(W5C<#xX;$c<|w!TO_&op=7PjsPe%I=
z%1wU%@xvP(PtsBSBBcZ?TqMYwhHdvBRn|0a{qp;3Ae0Q)AZ)hq-svludx)@TnA{}P
z7}n(EL@?A&b8p|y&HlaxMh!9^Au*~sQAb71^#P4?!?ZfA<TRLdP#IV2R)AomMdn^(
z@+%xDciIek@p{?SD!&z=j*NK9(r)4d%>qwiAld$0(1FI%;M&!zA_X;-m5QHNioz1t
zRr`_$x(W?N9{bDdO*1EE4!ai5Z~-kC+nx4lr7G+WN>kP^i`uQi2qOm72@Fv0Fdq;F
zwU5t#Og!uTEp<2isck!xQ84mNyyACWM88AtoR`4S(W$B1y1fPs=vB2F;_}R4IO_8b
zf}F<>NU0^J67m&Xl!yBtFJ#<mW}H+%{L@oJf+d_O%qbwtc{+I7dqu|doTyj+bgSzk
zM|0F{iwX5H*`Hq3bBy_Y4Cpw%6hqJSvSjAAy<UzGNJXG7BzgCO)%yr`${oQ$t2i@^
zK&dNYRtgq0+;6|nl`VSkFTTIVGfvzan+6Rx=O)B-v5D((;o4};I8SvlPU+dN;eV+_
z3_5+iL|4R+G3VTW?Hr(bxvr**>75=G7l$7DOIEddH}-w{fXd(4T7@Cjey}tuzo4KS
zcsPk}wjbQZ#YI7=INMh%N1FFWoX}@91Pw^H3#r}JmTtNpq-k}%BESpBjQ8Q6MPJqj
zHCt`y-0PZxZ3qUZEh!=Bx(Qs-eeb1DN2SH|V*&JU@8D)K&JtSWd$+3s>)cqTWTi*o
zs_N>W0!zf>EaJsF+zRwzlYujAc@0*N4-&6#oUq~@^%1Md$ILCs?9h527MF5H)YOF?
z<&!*Zf*W$KKc`-97xY)t(9mRW$bo&KU}_6saSZcGH&2?HlBqB*;4+^S5lyJk{LI)g
zoi<rgDxcc}3q7d$ZJWi^H}HjKp?A=c`eho|1zkQnXrKB|C>1u?wMSk{@|B^G@y!(p
z&F1Yng2<kIbysvh;=<Ofr!K>BO*1Lq2-Vs)vSO&9`s=ZL^_*(c-t;k6r_?MCE9I3&
z)XbfDaH?t^ox^Tsp5Ney-(lhx@1UVP^B{=Ih21t7v8ESEz}{yE?0NIX;BpDaF5C!6
z9$7<8L&Ow*rzAxgch@OL?jLgb&UV{STXQ&YJNL=ws@qs49X0_z{WNiX<uA;6SGg_D
zTCX*qYb<W`(~tiY7T5nx`_9S8HrYdUZWWZXcYu*u7U=Fu1fOVv9+L!L2@SPNQoeY|
zewpuJ5|Rft`0qSyP*dK$oq)7>+B3m6WP8pz44739`5#qNM>h&AV!y=**54-55{Ftw
zLl9XeNy2)LzG1M4K)8cIH5zISw4BpZO?x#@Zak{r{-2$r<3X~m*Ukl2Sn**k?vU-a
zSliX=*Sct>a?r=iiz}32TZr$Q3UjybD%`v*T3P0rYV*r~hp;C8AV$B!2eR9*oH|3(
zu<(e$Wz35OV_w4E57#ZTPy**y6A?Ml)^u>+I<}ejOs@5ljho5fvLMDEu`_!tzB#J~
zqN(rAnQ!HDLk`(qsFC}0rK7-`JkMY0CpZ1V%b*#3D~mJQ%1ovL$TXP%$X8V;;ufF5
zBWEG4gPTkzVFCbT*H$I}VYMiJD<#8E7cjPHvn{s*W^A&hyBgdl4^iAc_Ljc<;t7(`
zk$$mmr`kL$LkEd-$|c>RX%99X$$j20Y1dDr`=rw7zd<4FfhB@j)NBKEVn>)WMSX6#
zlL!~RX83O#^%$4y3tjNb8Rr5MQ2x9T4T`za$F98bfW}z=Obw4ASGKpAP(Y~V?wFQp
zysi4l*%`dw&8%KAJSJK%>sQZ$(g=!>RR7P~aF>m8gMQk%TN3Ue1?A5(pq;|<z>P3Q
zAJ8WjvgY>#va($9E+`PgTW>z_6B@Gxj6hZ<>(Os}yAy80LMk~;VcNrPa||HS?uh3*
zj>b4|_UA*J+2{7&%-s|t*=85^OO9w~L<`Q`4Z+o+98wHk_p)6(D!{Xc07-h_ygQbA
zDp6Z`r3>VBnEm9utlod#6L$z*)vZ^$kKbi29601ud;EX5euW2Dau$YG8~dgM{TTIa
z2RxXz4B(QQSZJ5dkdclXb@-fI^DS+IYv$M{582W!9lFqX6K|9GC8#y7QvVdvOJhf5
z9>3bW`&h5<#==M5!pjd(e&UEIwG`5Y?Wqq!WQpjpxieSg4_#OLSW|y5YnB)brQ?L}
z9bOgyeksOS+S6Uyl4f=_d<!EpGr_wpC6<KI^5K5i|GOM^%e|2QskIAWQba!xj|tUG
z63BoEQiY%a`wuO_sd0+!`!D+d2xG?>Uxn;)1NBx=zQk^CQ5;9%mu22i^0jb9OE2&6
zzP)B!X4_V|{L94!lcSZLEX=us+gl_I|D)u$A|~w9r|mACt;ocJ&O3m+`aempLdZl3
zEI8l$o_9Du?I)a_MP9k?wEs$}H|hKRJGqY$z$6pIdHcT@1Baq3p6R9{_A9h%u1@%K
zmv?i?ulsubq?4U!y)e}UK~01oYCsBkoyt2FJ=U9ZRv`@m!7U_>q2TmKkv_sQcqFET
z$d6-2h;4^nAyNM<h%bNffMHw`5fl3W700$O+vb?bXBqq}PO1BD{*L2M^&2J%rp2AQ
z)LaYa9&>v;5BbJZti0mh0w;$+I%1SawLF4g$Vy;S;*!E}f5g!2w!dD{`h4y8k;V82
z^7*4;v`4Iq9`~0^UULItz&$eBu>Ul1!|dUe5(3QQ2?*c3Z3*#P+6^lV8|P|F#9m+(
zOfkz_$T&@$qcz?z=QFG(PqQf)Py81GDN9``mp`)0jm4Jg>EEi(=y|sG5tbxT)`CzX
zLPsCPOgL|K&lDr78p|%CO%YrqP)jK?<1*3f@2{TsO16DCy-9x;@Az8KfzO-$kep2T
z;-e@c8h~kShxe?!=yX!2AMee!*KDi`Ii4FUGCXnyF>TxEg4?_~wMw95Sqql%_KO!U
ztnX-)XifkAQhJX03DA{QATvnnvHg?wN$_#z&QCm+|I$@aRjxO|;wD6_ZLl;Qyae@0
zVjbYgh-6a3Elun>I3VnE9lls9`xUL)E}cCKLch5}(`oOZK)#KD-Qq+4e##A3ZR!`J
zwSk71cHF>Hyw(B?qT4$91_%Af)zW+l@Hf;Ri_E#obDg*Y=sPNL6iD1dY&)8#$bM<^
zm*HJJ{g`!cqOtU*)X4SsBxt(-yq;jT`nj|6jd1wL<$zTj>!4>+!F<1QD?^N;<0Wl`
z>Qvw@zdAd19+4claxU%`<&g`#+qS6IWi!Rm{CM#|!%$vfVG^eT(oO2`GI*Uq@{6pj
zv_KZalhZUT(yj+#llo5($jB!6Q=9&WEE1axD^}ud1*GOA%qlOxdERIH1YLAw`divr
z{k}KKym7x*INUFxm9OMR77E7GxGVb5*1Z6DYu<JW5K<5jm{tfjHXxppB9QG!b5;jv
z6b`@@5jp>t8EM968O0+e>~+k0f@R6Ten5I%s$^iAk5b3n)4brTwYXs4qUFt%<L>#2
zCQbKQYn*zze)tl+kP;o#!+0<2Qw$H(RJNhS;p?||WMpLGH2>sHJnSnOH-<Y3Us%X3
zz&xK=yc(xR|Ef|IM9e#S7VtPccUwYB1!+Uq!eza0F5P96Uf$mC45~QIO-W{^N;J4V
zr{UJ}i_w=!yq(SB>rn-cu`69oO*)y2y<Hey_64jf7SK!kucsnF#bzEJY7!0TzgYN6
zKa(3^>BDbR<gdj$8oj<f^u3q<kRQj(!qK|#26=M_{}a5p<DGBeV!@Q@kbw9KO~Dsu
zejRO%CKhs`T_67f3u=PM9yyT%IESB_nI2|7(>rFx<nT9Za-+}@=O_IRW*L57R+hgo
z#e>8<^O!M$Ft#Gj;WuOB(NXEIbzM<of7x}YZVoz>u9}Nr`RK)e?;2RRTC}are<w5j
z<c(j3Q^w%uE=W=@*ZH^<*j7hs-e)@QptrWavw!Y!8c7Jj<q$EYiOz!oDU4HOO%!qN
zKDUCl#K`-^3Z#M$_{$!i_3QnuPyUB|r^b}P6sDculeS)@rDuF*$i{F0AmScgF5CeH
zJ2C)DnV^N-K$BaX?qV5)5#=KaEiNNS{PCm{-Fd)Ee)>N+kJwZ(<ZVK!+NU3VQpFf;
zmqqPow6-hIaC~M#P!RH-iwrMYVmu_%6IQCbxWvNH#>No%fFcvX`C9|ni@N%A0N@XP
zdhxn5{mg4$tLV$OPS5xRoX)B@z)vRtP;C2~`9G4`yoVt@HyX0;D&B!t^-gs3S^svz
zztDdtPqpgrd$Y;%_kZGpcg4R*U3k4=que8Jp0u$zEBDmgrj_w4K1d`6B_qjjVsuvu
zDl`iKh3v$UQ>3mKRPD>rmr?VilH0|pL-+h<P}$N@s73}N!H%i`9V~}NrhB55I5i=P
zjhGT{Ny2x!gC4}PO=!6e2FHWSr(3s)c|>Rv*K?bogz5aeyad@C1f?#As9H7)Y!wh3
zj{yYvy!g?)S)|mlo&0sae9T;PZevBiKLBj1ag---jgJz4kHeYLFYagchgOM$ni`na
zs|jwnpG=ns*5r3N23;K`pU_^{Oi+U4-EI45?0+L<)_<ijkbhu99qsDz&VKyc_(pwu
zN&op*N95|_U(n8kzM~7(h*jzPYE~5_lPisv*$W(WqCG=g5yBA9;SI7F3NSJoB5B(;
zeIK{|-@t9ZbLUP(#L#l9M<rXHyJ$y0$NO^;ebqT19=hPQAy3b{ySw`pc(<F+WNt~W
z!ucG9)@hot^Zhiv#J3+m)~fKxaEqo(N>Ebrp`A&_4xqXK>(AqIPbh+js&KTE$C8Pa
z)gPyarNbyjo)VkOlpYn|q27_WSO-O`P{mM27}-h*DNo_?C9JsE`}nc6tBTXi2nR_I
zLa*2ZdD*?mu0RI8nlO>r=Wmwjqur;8iKRJPtoW?^s=`-N4MQ5YVPv6;6#hOC`=9Gs
zo&%3}qzKi0N=5#f@W$w_bc#=oh2bvOt7@xzWuVQ4z=s~P(1J-@P>SL<7-m(Hm?Lpo
zGPsHM|Kp3b^|rq*)wI3-$>#r#MW}n4(Ys0Znb&<wEr7P#JzWMyu_QhOmz*agEUpvj
z*k7qlr4<*Jq6;AMxreOT->#01Gno!6)l#4dAHXQAKM5e7mHihpQ9LDRE<>z}w`cuD
zcq<K#w`NiJz^*|-imz=+%zAJ6g?uPZEPyEf`5LiQyL<%9wnx?-DT5?5Wzi<-kTI3|
zQxiuDDKXfGU&5J~x_ax-t>|brFwtXwT(zh~g$FQE_+H&iLl=HZb*ZIid}#@L#n`?+
zBFU+|8te`8|00>pYRpcQA84{&4h8sKoT|cB`DZ5fL&=t~h8$*Bso$o5Ki&6x;DD{7
zDKte_dv05=Rb~=8ozS<&$=P|})1AXA_qiwm@p@s7JqL+?!32kWI+yA^*wtf@9NPW*
zrzYI_K+up8orXsCom?!>xi1YlhPK+8mzn}U??FDaR~bMs!vS26<<Rbr_SLZXv0P`}
zd+w$|&n1=Q#IZ!LOJ!soW7;|p>V7T5=Y2_VoF#pskqLj+wsvX#LNvcU_|LIi2uyWa
z7Tv+EevCYzUbJdEKQlKK6<2Z@?l`rBse0+0P*Xko6Y@3?W$PJ4Rq5-zs%#0r0k&aa
zrkyy~G-VwNB#ck`mCVGP+}}a-4O2XPjmk6Yy-Pav4UZ~KJf;2O&S{H*EOKMc1BFrN
z0{5ljf_^TA5<GP!!-v<N%Lm@o7q=RJ#jn11e7N1$x)S6*vIFa1kJN%;7==vm;9*_H
zeIx?y^Wu+)hpKVD{{D?wXK)blr9y)JDb}vtwt0}2Xt(g6Mh`MSS4y(WSJ{H6h-(YV
z!4j%5AulfHgT6s-qFyk(;VXDDe`J{7_01ot%jHQMF8-FgK_L?v;|Sr*Q3&geX#fp2
zym5C|V^WrokT3zL45Ntm1#p!)n|f4k8@eiqlmd_{z8<1b^RMzu9O>9&R-WeUME7Rj
zpFGK>Z{iX{2XDPtb;YTwM%Cjv_Nl~MIu0N-IB8%{xo*2J{q*)l$Rmln!urlAU?q#c
zmvN&&hPrZ&Y2y0Ep}Ex2P$ElPnqM{UC-F^vb<wXp<VeX!<0>eM-%`4|xLUf6-in{;
zmnvgbg?!yRSHW%V>ZWfV?Y=t{b32NI1HH9)!4TfBG##LB0PgVKwfM2GLv@ygysA;*
z5#$u?Vq%T`-QLKmuSgm~J7HS?RHnZ<CDI__X)b7ivi!V=cSK-6e@H+;wZn(kVeA&)
zfNxHU+f7bRw~?aKjLGDnZC_kFMC``TdwKmjB{0>x!(A-eiNak>*yr&}6Y8W)`@pkz
zp0?lLH!@ChTl}O9$9SNrLp!I^(9nhZ(zA;)=>a;>^B~mAX0TbXgSru=R0J+3onAqx
z`E*A;^v3d2C|;KxV?5FI+G*drx&yg^Lr3W7ie9NdWIbp*y!&3~Xv^<<)lQc+PM;i~
z9ZxOW%7z8>*?UZ~5Tj8urB?9`v_oo1?boj+OHy#RpZpKwpMxU_>6#~bBqYfmTtH*;
zKSo<6)2e;{Z$v&99SusjwF5$fcR**b3WQQ^{-JCh+HzeEc6w<iw9GWJ$9t20x5G!S
z3D#I`SwDo2#rwA6)A5omK7Ze^9*rF7+j5<CR+uTVTQ=tIFmW_v?!0|C$hHtA!Cd;H
z@@ipx_^FsZ<7i6t)McYp{v9k4OC8Z&h<h9<oul%p|IRu$7jgiME_0s)?=ARDT(^Bx
zYE~74AR8AIB(`BfZh-4lo37vYh?}Cfu{usoP2Jy~D@=UMI0?T#DVmva-I)EsG-*KA
z^-%5%`KS0I45P)3M~^QKeaWme6AvPyRg4wn&QClc0x`2X)<!A-$*IDD<5mgXlv9!@
zD+^l(YtI5vHi`#%m(qK&ulaCwwn!j2?jp;0x`~eO_kn?kr*0V+P70iqj@v%|<zjUC
z_NbV6XeeHKoV)*<r}`J5i&6}E^o^l^C4;GK@D9iU6vw)PO<Lg+_K9;l=vf}XR$^N-
z<y)nz{LFf`p27Z>$LX6qoZT*W?D?bK)47YizsDi@=UX+)!rc!?9JhKnjH`FwvDl``
zk#tFV+~DquE3ysOKMVeym*}&Rw&YmF^Mom?%<J}-AW>hxKMSLo>)li_e%nBl3I<lD
zh3dq$+S7^Jd^+`SKk?94Fj81r(<iWG?>%eBCYi(LQk<_p_hvJSPfz~{WyOAeuM7LA
zd%mz(N%MR->jOEesY33js)&+(npPwd>Bfy4lsoqY`ufWtQJN7G`AI5HlOBi?08c+d
z4;Eo09PE*O?TlZ!`SMLzrCYt)BVm*2-LY&?Z!;L%gD_%s%sui*J^A`6(20Y1C;Uw#
z(6jbAZCfs755q@V><N~|czC{yC3wkgwW58t;9^{!0on#*VY7}Jz&B7_V3jK&F^S^h
z{9Os%e~veKHVZvoL8&u48m>1T@;dhVY^5^Q^k2^g>pvnNe`&1#LZ9DvlU}h|yQ(#V
z!kZ+}J}RAsRiAXo7+mB)x7hzGjjCpT<drsq=+OdoI=Z>jida`2x^W|xVzUn}-xPFo
zyFD1ru<g6BiR43Lgh?E~pcRx2S!&ihasxwH;+j>9xhOa#EzzQb=yyjK;n90*ur7Ib
z(;U>}!+%1mBbpiL>9<?F{_jy#d6y~GeIKjn<nYr{cT>XR8UBjK<Nb!PaVsID0b)je
za{w8lot}l6kDVA|^wOR_pI@H#=H3UF?D!nfSLXBN`qf3vr`8KzUWz8IwT1oKoZ@Xv
zD(9K}zFywVUUu{b&8(a1Rt8xHmi&G#&@?1o0u%UO_P07JCmU<Jy3Pu|zo=o<T{h9l
z7X6Jz<!`(3%Xhow<wJ$e)1UIcqPqbn?P%PwEAdx4Z})uIdNJ*_;U%uCYF{Te>)VWh
zWS&l4;%dek+%zcdFyc<e2G)e|&=7+Rio#J9WKo<noyBhS`v1G}HfVN2K~^YImSE~D
z`sNB|v;y)<mR$dp1Ulcs+N^OQIK2#o?WG&w@|S;B0_x>`r&}KK=s7mlU7$ICcgd)f
z<JKyU3~nVx>%zR&N-5FsXcQ1Jwe|;t4%ZIX)Bh}8@ulN<h0A4seYrP9O>;v3#=3XL
zZFi`ps2%;L#_t*H7Is%XYBnS}*=DD+h&+LpEE_IhEr8sKjG`FiNkruASpQR4zbyiW
zuXnk<xR<*VjPo7vb3KSM$d0t6zdd;*#~N<9zRtDFmwKTj(<?+A-(?cM2Re`rov^6#
z8<KuTa$qzP9<N{CEkK0v;UPNSUQ%vzjfrxy@=(u@Vjs!mt;)2pmR58=xFFGJXO5h|
zY;_02bhA?WCsf?+9Z|a!skIZetGVVmU%Ejfr%T0<b$q1o+K;;h%6rZMENGNnJ3F$R
zL)^>}Ubv+~yy`CBlGNMhAA}LTzUW(-H_1t{CdtgJFms4o@<aZ2^}>bA+~lyZ%@*Cb
z^5BVINHu3Ktk7GvLb|V9(^L|MIqlTXdOT*`E$Vp5ksE$N`QEFfA7y17E#i`obEDRp
zd@C3a`<k(Vm0nY|Qlrrv<H#OfLw<UC&X%_%V7a04z1}?Ll{9Q*s+oHfGzG}>rMFPC
zo#4IYsj1(T%mVnw>*LcgHx>Z<2SK(RvP1rt%G`t1Yc!|js-*vX$y^VX|7G<Qq1=3Y
z=qrX5Xx9N2%)BF9?f#C}(^9E_Yc_$E00F11hyS(|R;I?;C%VXtY?@;c7RLG%E>5?D
z5)z5_w=@-&!k51d)`e*8j}*pjbZ@81iSPD4qY+A!KiC*<pP)LCu=jp<`29<r(&g%q
zZX+Ez)q{P4*)~|50Xe`57+{I%s8~vZ81XJ36d$_!?T8vEU^Ug36Bu;;?R(hEf8R><
zNR^aXZ404vfPkxp?Og@OKliU`*zC=b`2hzNfwtQJ9-_hAe;{cirAX+1R%+#phYue<
zl2@nAb}j4Mw{K4w*(%Fg7Yuw-tPYnde>@Kx7Zk3=4MQ-1iB#Wdg!w84VmvU3_pIFr
zZG@Lg%a0uy;)&dHgYlSzLDD<Dj<UsqIFzQ|A}Sf62ok?{1X~4byi6F@0&AOFJ#ESP
ziLpyExlTR$x%@NLC6kY-gBt=Htz|6j)>{{q^c<j@DRPnl9lXwvVf#+s@xa<r#wYF!
z6j!2qZLWS2?)4sKV_>^>;t_}3I-R5Q$S^6`@fxGHDTtE+sYZG~ix0DKeFkU$GLWV^
z(KTLKY*{B}X*=BXBCKGEdrrGL7%s=ZgGlixg}Pcya3<4X$N<@$+d$~d_nV%-{{iQa
z47fN(bt<3!Kn>DpvVHl*<21B^R_J;ci^ri&GM`7E7{;yrWefk`p1&e<kN18#b=zyX
zD(L4BpMyh_KE>;%;{Toi_|<-=;K(i}Qzv{f&ZppuC%k<VgDo^yI$t+rbpSh9_OxPD
zpR4)cXY_Rhw5`<Ff4z;w9!O@Pv6jzO;2D+LYupo-?liuiwS(zN8JnQrQ`vhA5xMH4
zTF9*?%<SYdV`Jlj#yo;&CEDtu6T{gFI%EK>r5u;YHcPh@FWytBtYk-GZn<gp={hsz
z-;<Neyjw<GUGK?|Qzep$*p-CKGa~Nn%cccb6^y~KC+enCkeI?RoJonz3uxn*hp*e)
zduRJxIvcQH6k1hYUT&`E$8f$$<+9ZW=`Y*)a?bmEncMwt)tq)Cp@wZaR`U%bk026x
z24zix#<SH3wMp3cO!-+FNl)lD2Gw2xurC1eitjijA~_sxRd*Ipd=ghDIxj?@c(~_b
z!S35!<?V(BQkt>~n-_v_(k^y!a28*0eV%hZgZ<+6D_}_kjMiBm34i}>01cqzFvX24
zniPOoJyWh;o1-Zgo&ENpOQm)DY?0L0({|A}OY3$ru%WLayDOT^z-V3>a2PSWIt=){
zA?uP>FEk9HUeR?V*Xoe#80E18d_Hv-SSvhFaYSTG+Aj(AD)$6zccMRV<1y-`xKXiX
zix8S<#uOrNaB~1Fe{V8fbRAjznK&|x-_Ih4hF(e(VR|sR9rLbUf&26eF{--RM4zq%
zZ@=TC!rV?V^ZNBIS|)7-cmkLp5Sx3Z9B~wB3ci~+1Rs(B4Ch(I(0Sip#2~s-971a}
zW{_fVimEC3a6F#EXZVAIh^_JUN&ioy5sB$25R&k{vprRO?}in1g-EJCN8|fP2Dq7S
zAhN<2q`^5z{x(oHEKV{K@St1?6L!_j)jN~|_E2t|1vf%K>zWcpvkt%Hl=M?M%+HOJ
z-tjD-(Ppw00jZM_8~;F9ol$LZiA}<815xiGz)J(Z;7F-yfZg*KbRN3;yZx8;Jm$8@
zP*S$H7jvv)L4gbcIXb+&2!FoJuN6V7HBg!!#Z@oI7*)wg`zcv}-{T|hJE4@<rE2^U
zql+XO?O@T_>q35qdb@oo0#u`=cMt>TS*<uF<E$EtiAg0do!8ZpH!*nX_<7}f4?9$L
zk-aE8JDFsR`!hx;bf3JYG2FGLPV~@Tt!p%`^s{cg)7@_+^f{3Z4O!4STqDidY}<r`
z*=y0>+lU&lqTW~c3t~1Lu#}Cy^2hM>RJ4ze$<LlY{**OTrPVU+)hu1FBm-I0ySNIT
zpo@Hlu$lUkm<Bd(^c^zrz2*NdaEGMsxaCC{@yY>civLsHRGsGfc8D9a^X+_)=DUsN
zk1v0up~gL5*6Z27pX$rJL`RFIKZ%SN+uI`8OflRBVgfU7yMQ`03bilc*?*~|eo+)Q
zxW2ULCgnO4bZ5l^<D+yDYk)8uGoE#8{zZ_j;-os0j&18a431aHBOnCOTf8BgXkVde
zB{fo52AToEAl{SQGC<V13b4xh5V%9|5olgp;{-dFFSDw#gUEG6RD>QfW?`u_&$w~k
zss`8KUa*Y_?2TNuMQNoawwhXQ{Om(>xKunV6y7%IzTTS$?<p#4&iNf8s1Iy9*}J#^
zgqr0N27vy?mmv*Lsr3^$m=p+cH{6{x_83iGg7;2DE2{ekwj(F&#@|szf7U~yGV{x=
zM_({U`1(*gL2sEsp>Kdk>;@IN8#Z^jQl4U4f9~ASR~v_{#NQwE;zu1y|K8hOf9W0N
zOwk4pK?<*`;azW-g5!xR-}o_Z-4dvG?Vcp_ZIOkr?=H%dzRtIlLm+A@lk4y%eK^JI
zcG6yYgzV?Z-UcR@<ip(k6aRfEbmUDFeGrfP@Q>j|$ezX9kMJ>buIfT1ITdozWY-o8
zvRnf!ip*fiG1$^|IJ#Ggdb0ptPOMh^@&5dn+pJ!ffGDwY!0DEHgz{~b;G=VX^enWT
z*#DKd(e;Zbq)EnT-6C>+4Gjf=gG$IgC~tNc8ch%UOm`b1uqOuW%-<^o1-@kEM~yqE
zu(xHp{6(XLSqk(Mn>uai&|t^9{rX6*i(P}VyLsg;#E}Cp`>6DKZxtONqGy=5EDrCv
z^r5tL4RY_xAh}Nis6~<e9kduq@-EEx4ohQI5hSM$Us_d<5AC~97nM?5z5BmU+V<J;
zH$DSv6)~@8*G|%{S<WN)Rg;+bQnaJxuSw)n;cAP%4V3BG3Ttp11x$8p<G!{ZdV}(J
z?5s*YExW?oZWz3EFfL*Ep=RLM{n&4cjp_lg0qo9Oc6N)>s59~W?Tp#$tW*2k<*Z6z
zSLshQROdBHm^citY4}iF*4wwvD=3=}8ilspD>TUeJ2QXCeNhS_GEXh*!AJ%dnQMve
z8t7ApljHhXitmNuKj}F5uhYLPFJFtv^V8qVa-cv>We@YP2YIK&^*@_ZlsRGmNg0m+
zgJD&xKYZY?n0Iq^{Wv8{mR$euo$cEShkaMFlpp*7kuH2$8#X{a%n1SCW*1`j_=~*p
zh*T#C+B60&z~Vu?EpN6R0-3pUf>E!J{Ke`mu;u&yg#~bOZcz#@(@FU(c%P#$pV?sM
z{Jf58yL(7>n!rs8IVBCH2(h+QVc!89QgXY>%2`>e6~;pqTme7~dh$DtM_N9A-hyzI
zlatB6pZLqQb+5z&2|V(;<S@{vyw*GHT58yvH%CB8+{B+BFjyZ6%uM^SYV(#a6w0;x
z`$%6kIS=s^#ZXB0AsCZ|PUoGoD?I%%h>FGekn;pDqB73gxqxcYG0rTzPbB~<Q6Al&
zsenI%!S11tro`~BW_Nb^Xd4jHL0ab;`>8#`n+)8IS`_LPuPnO`MdEcddsQD&<S;UP
z`uC1z8z0@Ep9J}9;<t|o)hU;t4%Q<?IsTt|gdfFWKQXrFfX;uy@QJyJm(5z*&C^mH
zi_rdb9f<lq-O<wU>O!i#uo!W4r8$n8sPV+JNjYkqVd68$>Q`i&2Z;U+Eez22=nD&q
zum=Lk3p-@X4H3%={lb-Z^!Wo6LFQq1><jy2{HcPOpYz=1vn%+6Yj0a!Pyo}_`TWV6
zAyI{+O3)%`WLxO8uF*FW8bn*%@W(m6zoYN~a8jHzJm#@Qp7Culi#0*f=YPK-syp43
z?PM1zkrg6~@#dX7l`esS$~HE8vGDO6pIK*Y)F8|955w#b)Yt)~1XJZH{@QONDNF^d
zjn(tkoZqYt7AJ)d#{Qg+dqoxu#>8dpp8yG8FmV;xN!il!%?S3n5iA%o@*7JPkJmhe
zxj^=D^LOk4_zu%ASrvJ17$cG8|5lYrhN6r47=45dZ>LT!h~SWkLcn`SnpzF1o(xo^
zYM+p_6AT(sc9h=GVh+8Ton%CMcFM*3g)ghux3wx=D~jUU*1^oi#y0u=6#xCVi`bH7
zg7#R%x+~4tbB__Xf&uxZs^&=V;jMsqc{`1fcYkx;;iYp~QML^5KFMR2KF6Od&g->`
z!)z$-TMmUcwAtGcW?P?q^rrtR4B^^q%`w?(mN*t1G`^O^X)Zm!!RU^cr33R%)&frf
zKB<Oe^EvtKki#wxjmi33z<e~Cy)pBZ<C1<?5fG`pK^YB%bb*p=#kU{h0Rl=5$CZ>e
zkmzoL@dr%)Ysy$mdopO)q_xX0*L(+|Cem4_@O$}OgkJpfOtSUrFOkaujH?K4tbk16
zM*BU6OgQsknT*Cu7OuIaqh=H8?fEWK72wAua7A=(T`x|ymg4qKFuWYYc=W+A4eP;k
znuCK-X8Qwr40k#3Z(5XokHj1;LnehK@t<U8#+iGqNT*#6@EG{%8N0?)_G2{`pb?86
zmde>6O6km8(C9fn=RFIclz)A?QxrnWsQ*(EmjXEQ^0`(ZB{q)-mXOSo!DqB{rFzGL
zN(W{{qn)g$`Q#N~un$~{gDBs`<wLR*b(W5L$m3}x2MpB}aI2N?f7aM4`=bo-+EyU{
zTe8%fxegv=hVtn^K@l841&q`I{{Gs^jum7J!dh>0WocDO35o3;(P#wC+sFn#x^Uen
zF(bV%MVpSBok05UKlk6qnfYcHs-DZZkUS0~uUaEp70T`TUcLmcUq2EuHBO_x5mO9u
zY9a6!G8LuqUrMIUGE(1nZG1Ot;W%f*5MhJ>(5u=>%GkU!Vt5;&{@!HTeRl8lSpz8~
z0>{>kkBq$aqTJHRNhwHHpO7_l1-Dm(?`BqjQFit$KvwUO&&<NVKj+o*gErfF$NF$3
z;0LQeBQV==TFMz@nXe*I<DT$ec7t1r$O*?Avx#N@?=xxt(doayN`OkoHypfNIfkmz
zQ><E@{~l*@KvKvq?)^kH@oAvBGEr;E<Zavd20x$16q>s(GM}K8js+nFmYoc-=<6)h
z*8Y-{bzGY13DkRafCN$@fQ$O<>Xipa74mPj3_9HdzgQD6EG9W?!f?2ES?*?FthAwA
z<?=07^2+=$zma^#kdhMd2lmP3Su5=pxV2I|w*YIvtvP*eU~O4psM=ew09r3%dKvwD
z{_yMPwVCZqihkYO?1mIWpQyFju0cqYqKzKKW$$bX@4f6^mjf6CgD5>ncBQB1jna$v
zrSYiucMzjz2Gfts7e~9c=ZjhG!(K+$?Cwo}qz>#f*~uj8q#&&YjDlNp6~}xKTb=Z%
z?vW2ILmXd3Y)6l8J-R6JX&M;Tx9;xMf*nOJOz03wAuSWPf}#^&N>}J#(|vYogX8U^
z!w7!CnRjmJ-|pI5Zzbo8F1-1TuqTl%%D3qS*a@zdmB+ab#?HuAPjIW}0DLYtQ7Ngv
zux6Mr^WjFArW%OmKas<BUCeDy<{SGR{HiOXOcPm_zavnDYu9Yv_H(bTFOWahG1uxa
z8f@TBYa%xonc`$+4)jr@*wqOeqo$`x=G;hs!!EcIu0x<yhPDii)BL;rd}2UJ3^RW-
zt$atf$H+$|Y4RT<#HqIJ8#u6YO9zyg4G5<eU(e6QRkoaHv71p&me&ZpmZ@DN#cA-v
z^5eUl@p0%K`Fp<h@wS|!LW^a(Vp%Yt7EHOLHtXd+;y-ob(G3uZmUiv9yX}81%RW^<
zlsBxxs+3aDZr^*K4s(ix!&uNMBISBs(laY`Cqv0i+KfrrtD?plf#uW4^(SBvS?c4|
zj@Mu+!S>6?gtP45WmrX=cF^Aw4vnh#@GVU~d)If?vFlx>rMup(;<zI1v^4JX_jT=&
z9T$Yppv?#r=Gp@yA6Z@NQl1>LUAOC)|4|6#`>a-q>#vuX@e}vP?q#qzoozu<uP%?R
z5q3M?b=$=6wny+ap%uANsLaMf<y*OBMhET+J$%G}nS(tJs%DF*fWrr`c2mGLopdSk
z8ubihX}fSgMdYZ+_w9p55ovkzMWZiZhp(^}nQgUIz50*5$#5Vo2*>2uQy1@Ktb<zm
zUpT~VWNDWN_?P0g(CV0=hx`#@u<y7^UG?qmLu;v{v45a7-#_1N_QxZszUAT|ulp2i
zCnlhmf3hFM8bYK+)ObXOMxs7ryiD*8&dY@wi(FGBrE8Y%Fm!^+3Mp|3&$A1i#<{6c
z`R!bY3RlA?3Y)#G?Lg+UkYv(d2N3v5x$Kta%#cnwexWScq5ON#pJdA;WXnK#@~(q!
z!@Dng$FC#r;BOhEg_58pr1Z&tc0dRA(R+a{9oIIxkZ^@cUmxBRy=~=K+ZD_ckYoCV
zw7iiIFVb!g&ZFIgYg+tP`MY-<4N$6GTZ(b%)XQ?#dVKd9=F{~U>2Eco!y`Tm%g%oq
zmZ;)|DZ_)3Z`^AJP<%)VST)V-iEZ@sW1ViIJSV1tm*3Kl>ZzsvU$0R<Vq0t8X8r2@
z7Xs;L)=+*%tbDWAa<oeJv7By{OGGIX&xV*)E(UmB!<=M7yf{_oeFpw5LY5BHZaFMa
z)+)%&=5mkEdgYUs&pBFq^-W6D7Pq9I&@A;_UuZawy&ap5f6e2+6ze)WX0hXiQ4fn~
z3rea&p7Ug)(9jlw^b*Wv?QNxwOkC%cmS<LM4s_v<kh@D-V8B3}Xy&;Gkzl3X<TnR=
zxN%kz?auDZMZ2~CVFR;gHh3l0<Zudw-jCs1;Og_cO15lkcjttH^0&4##73ZVRM;=W
zV!7%SG?4?vG{R@M3qJ)Wa;;--a&l6<fUqICWC@&4l@#&B0hoxL9^03<*c)KIAVsrD
z;l<iYk>nfFMCqNw@V|Cgbovi@)OQ~<T_0@T44*r2+ynF-L|m^u!dLzWR}svf4+^SU
z;3FkCCWKMl#yIt{U!Uv{$v;m=IA&qbQZdPs5M-D(_I*H-ZLz!{H4q;vBH2X==aK+A
zpQB#Hy6M%BOMSBSWMED^3KAs!EI=&0L(Po+{?>%n+pb(emL$L{yZ#%b88=S-*66z;
zc&2~>O3YH^(i-1iAXX(bSwucEB~v`y@`??2x!L`d*tD2d!NWIbSZbvkC-y$931vO2
z{hk_5iI1W@s!2C#VN11l1DLorha^%FQWm^O{3W8vPy`rFU=smP|51PJe}iW35Fucp
z_DV{7HgngihGV6`(v_dh-KZa2)`VriMVk)S76?l@226oUKQZ5}^y9~KIT{8w)J>hW
z%BNBc;+_7>!bYP?wEjBGzFvAkQ>6IyITAUnjS;6I`|u9LW0XU*M<OfHO|U{DYh!2U
zm7ANpv8p=qfH2u`iX5y+m+O2{)}60k8g&7=e>u2%tnK#g+lg}l_>{FQf5g|`^wO`M
z)FmIF3na&U_KQ*o7(3WxQ19_r5u+6?NV75wZ%r4;o(>hWYz~gw)d9=)+_e3-%U?Gq
zfVev*CreTY=yS8_>FG)SBXfsQ{<ZUZlKD5e*jNLCY3^fOYH~YbQn-QBZ`%atny`wI
zl1=zng00>MeO#kb_@HEZQ25;RL!N@kEr=bxZT;G3FmO%%8(pD;hYr4N(?71E^t^Yc
z#St_2WpyTtL9TTGn6h#S-BA(TGI9{&h;<w=<Tf=&cU*>(*Q8dV#HE^z&vRsALTvgE
ze$?9I!#(!^i#?l<(ekNJ)2L|Mx5R0=k;YCiTD*Zu722lTuygZ}sxy`+qS*D8zgna*
zQEyLkrNqI53A93#M+==N_hcbM;vgw&TSZq6UB)_a-lgcIZIH`0?IBzIcT7e6MH2Sc
z7EB#Md39ZwY#FZE^<enNSIvzp>GZ*~Pq1@UL^7-B`Te#JTi=Ka#;un9D6)Lg8h|Sj
zt}^FDE!`c2X#$40)MkxOmtZMLXU-mzzZwGBDzTAt;4XNv(X)EK8f}x#h=z^LNMUvc
z6{ElmyQ*%~+1O*7{SJLao}<|R7NgPaHb}a^?fb6*FE#{7*mc}`SM%Z)_AR)}aAZ7>
z_{b0LmMB%=Pfxs?WvNzil?0qUeaenKB`3zGez_02_%4fBNi+h2&iQKJO(0EK_Fo9?
zWYOWE>CceNCgnc?6?BZP1twRbqz?Ut{v9vh?TwoP2O|!{S45&?A#%+~82pb^PiMr!
zQW8uG!klhIjA$D>J!iKS>&-L;9H?Ex$-|Q*SPp^y{`cIAqT9G-?q4Dk6bbUU8p)7-
z|0w0`NW3@rpO;UA!m7AV8S;wlrmERJ)WST=ere-<(aRqpNNG|KVq#)Cv+lr_jAfM0
ztix>VYaFBZ=+ENFFo&b<-kA-8QUiBb)YphCX38oJSWB_i8H7nL&wF(+tP^=ic9lKu
z#yuj^(qzFa$sp?f%5eR5iEB61>jT{0<0L^J&Wl(qB#?Rx?_-pxzT4=Tl+!ahJsxUX
z77OluERISD=Fy313$|ntB_eTtU)ZgJDrvrq)9#F7(s-tKOOI_3Mk>lJ+zD@D)uYUr
zzVf=iia&VYf9TPktuA_$%e5qUHy{;V(<1s40wIf=WjI8q_)UXEuUkQZ3-BxR`2qr4
z$(A5J41t9vfwIMQp@J+q)*Xo-qy(2w?cHdiw;oE&B>Yy*{T`m^1gFc$<0j?q!_6Sj
zAsooGN?VVO1n+P$!BLy~64m|0)+OIStR<zOpx{azPD@Lh-l$%En){IAiI2l2<>NS-
z2&uE*cT83`h98|4CWuP8<TXy}59>ooRL3D!(MNKfrsq==P^BWq!w+0BLj2EabcMNv
zEl2O&`MXeP_v`-lBM;x~IQdw8(P6h*gm%FBz7LORAYvACF>i%Rj1XXm1)+mP?=40Q
zozbI|J;B-OV-fFN!vR%uz+Y?eW_Pl_bRE2?P08~(Hu&oMoTgy_#aqm9qV0wNpDu}a
zd59kNcNo8C>M-A36?`&MLiK^oNqM7Y4W-d3&|qh%f8aqj<!2^uGd?Irr(h58;$Jl6
z@p{)%B7?~H$IM)Y$bjUEpO?!q4m2^RP<T`g!3&b-I!mg9^xRiCA;J!G$q(!zURmaS
z7yKIxd@HKD{LyN@jP#eo+Fdm_vTHHJ{v?k%27wts6WWI%u&8^4XIBCaZZC3F;RG&S
zUI+aJWJ>ntyM`_azFuBcy;k8A+dkiHM@L(aR$guHK8<w+0Lo418g6GtN?uQGutJtE
zhJNlZfvw!keo(N+I*xWnO!KeFqU=~^V=}Bs`zf5%ceGYpd9PzB77blG;#*6W`<Wk_
z=Uu$4L-EDxoamE$4_Rhf*@+|9ZU|6q$Jy`&EqibWBc-+#8gr_`-5QOYPO`EVPzSuS
zzV=;BRu>-#(I1XR^U=}q4XIo#iNEtIee|nb%{`yLTes&;u`=2VdAnXJ+Vb@t!<S2K
zSuYEuF{Z@IBlht1Ey+3S0`Fftck+hv7$yfk93+cgWTEdBJM)cmtv3R;RgdRXuHLr%
zY|Y%b80K*6lKmfz-6!R+CPm?Wi3;WKnSrEN;O<YMFWRT+){%F04Y965nedF!b34Ms
zdZIG&Y(ZrwYOEvzgr72Z<SN#;XRKSZh3z?=&YOrsngUv)nI9=Xi?Ww#(0<)n<<y3N
z6EVCEOvhKfm`M!}w$<iay?gwEfbT~?l7<Y)>%~83I5_WyAVJ?4W75E3X$$j{m(gg%
z_1y%lW$1P#$;@p8v6FkToQ74}Rd4MccYg{Sq?jJ7k-3B%M^N_mUFzXiG9hdO%BkoE
zr>Avt;G^vNu|j2Y9|kixv4;z-=qWy@n<{26fyYj>6O9rmr-^q|yUg|1phRoA+vRm=
zy7r=EB1fUY<;ymTJ8rL;om>x7I{H!L$P@iXw9t1;S|t|x4SNP@&wo5sOE<}WEAr$-
zk&Nd$3xO~nqGPb2j`3IDos%$%5BFuCc&dKpv4CoQmTfOWg1QoJv7c-?(HyHEi^eYo
zgYzCQiS%AaI4ZW2{4gYSr=+G5hp(pV?95EUtQMG=a`@Kie_Bo(xZVz#lgE~*qcARM
zTUp`w+h+O(n}s);sU5K7QP>N7*2=C>z^vKBRVn11k|~CmHJ0$;>=O@fWX}I)nyAnP
zCC#F_K~Xc=wFL!EY&%GccqihklQ(l3=vDW`h6fI-lLugd@cx|gleKhlP~DhnlV8d1
zyix{okc$D@#-NA9yi~486L6aLzIPygjUUFU?4@}T&yGevvx)jjR!kv>O-9f>8GEPU
zTxK!N1BL&EY1U9AMn<|<T|P`vmFsI-OU7qxpSG4Uu0XPE!XT@Wkx>L(Rj+Tc6ze&y
zdh|zXrr$I^FNJ~bzR6~T`)dV7ot}8FTYgN~KpYgqpp6TvtFV0bwulntI4J>S&A<Zz
z{gZ;SK{3fo2<%mCe^^;%`s2{p>G0^?KaJ_7cZjpgR|Lfa+FLXnqFTNc!n^v1PT5Qq
z=THS&_NjT_J1-h}{zO<P<U$qk0CycU!~P$l-a0O;eR&(c4Maf^X_W4iP6<UtQo04C
zL_k2gOF)n=0i~3X?vz&P6r?*vT3Wb?cNY71o|nJQ=j`ovv0}b6SB)eV{s|~oKUSh)
zZ$lcuV_U9aUH-*Q-ni6gI&{mS@FU}8I<i!VKgjtx2Gag{HRC3jJL-m^eY*jbl}pP9
zPbKO#?uR?DoyL?fk1Wm`_o0o1ORb1PGROL#S@52*Ok@CPh-8YhjBtaxJN$~Ddl#Y*
zhj5czp)77<wcmA`CE!_i=cW2D7I-dGPF){%V~|Z*9TE7ulahh{By7HElGxo0NQFl-
zFpBOaLgI%%yh2)*eQq@UPZ4l`Yqsf%-=jT<ZXl$A#>`w3pEMxa!5-<LS9eSjWv4ju
z_v(~e{(!tGL;8N8Pe{9rRN!UxooWO@84U)7@pCwTvjBT+KZ@!71Sj1CC@`8geF6j7
z-V92rkNz;Wl?87oCM+JKZ?S||MJ>Aw04XU|N~jqR@87?l*UXonMAs>+_!dd{;Tx@&
z;^MsK?XpGlJ2(geE1Lkf;*-yYz!aCfXoh^Q{Ex^J$78U*ZJoEKcU!+uBp9|kg3|#Z
zz=r#O{n4Ritd8k4+*^u$`*=2qC{dA`$rTs}rLF}L?YsZl9w9-EB%*S#HkXJ_d5-j=
zGo1WNn{obM5SOFChdfs7`zC#6up7hW&%402n1u7J<u|dV;d9d7j?vi}`JnPKuvt=;
zTG>dPaRis-V0jp`9g%_lqhzG&UOrxWdpG#0p|pU8vBK(|Rili*&F~#_ftTf_bdUjn
z_&OM!VE2>!Rq-DMP^Jjf6v?K-2X1=EpWmG#NjG=~B`?}sDdz#Cvqiw3SqD!>0c1Up
z!_L8hSK;g2&o^$B>mKSI#Z-XaEO#`Rbscg%knJAG&suvBc*(aHJmkl_V!z|3-60PA
z<<6JC<Yz{TI|mA+pnli`_k9Qg-|rx)iaSbWfZ@{uG0rg68@;C%OM+`ig=RoAEwzJ;
z4=G^C0f46)qHucm_;4u&+)d;FOBms=QksaU3}Hit=!0mgn}_!pA3rk|%^^7X^`>hu
z33`%5Us*gFPEOp0<85rD7q;5EvCEBd?Mp0Q{rQ2DUiY2Uz37vQw7rf!9-I~8vA1=f
zzr0+{A?81=Lm;`B$joP*GWX>7A*>sbPCA=xC|uw3&T9S}$EKCqGB7zY@el9TDD|~3
zN#}9For0MmKibi<AYXfa!#L%kgv4`fm?pl2)f68EzN4Sdg@}<HvCrkh4-vO@5O(%0
zWCDRjqJ#}6`w8v8rF5%aUjRPzF_6SR!RsM!!47y<bAZ|@MpScgg>9)iY|eQMX=0&P
zo6`+msbgM8yUa+cQrb9Je|+HfeIEmN>hPZm#4P~d8N)a+>GeFd+}OVLC`~rsx7v}f
zW5Nl^gDt&~ht#%@7^JNN@LuZ4O-mfvGVq@kuKx2p!Kl44?0BJ2h=j;rHX?umN-V*>
z5BKSt>q6OgW71vUs?sHYrqUmnb5Uv?zCM2a0D7nE$e|84L`ATwfm%YBkQF)-boAKx
z4Iml(Yf3BPnykcbJW5&2#P@hQ8$l-&<{UG?M%6Uqkj^^REp)LVvrzm<^Fz!8AObJf
zA?ghl_h8Nc=OWYk2=jmeWJpm?EIgBJ;yoqV^ZeR=Q2}=Om2=LVx9iiL9wpr)f?qz9
z|IoNb|ISPw&oz2l{y#W}z^iqmwy}4-;HB%Is48It+fJIl_72>KiJa`0Bo^F%gGlQk
zyy^z4$YM8$E|lE)F2)`H7)zo!{^qS_jA_=gUzOJSU_PLQaZ*VXoXFr;`v%>CK{wsN
z!`}_&u>N5X1bb>V-22%WTH`sU_oY-3wMgMQz_riKfX>K}&_(WdpcLg-6*mJVSU{Da
znsPs&ayAmlCVW+s)%_KZJ`6&su)4d>7m9B~!>S2>^T(L?@gv2EIP^k*ly5pB0d4@I
zddR^$tTbE1?a91J3?Pw;!_*1@Agh8lkg29U?Fq~3$vrP|{{~p?Wq*46lR{b<4<870
zng!4NO0lxFLW?ZePW%y>9{>lzdxv<ud=MsFkBc0*0t=;u?pO4H5P@Yu7A2mGcK@IW
zR?EjYd<N~eF^)}&fz<``p}cpXy^D7fkU9mn@3Ve`r+L4doN@7adl4i~?<ZHyt6rrf
zR(pellS--3m+cK?#pU#^LqBo$(%YZNtg(b?f<!ve2~ZB^_D`Dtjf7go4eKzN0=RXr
z&!atH1_~iqu|UHCRfw_g<XmdwU}Iz77<lDyz_?n!LjSQ}*lbWjk7!fUl8^ZXM-~nb
zhV>6Y21?GE7>qLqG*YFGkY`RHV0(J^K?;n{s?o*Qv2X1F|H`nX_+9F%B_KPTkO_4R
zrx_(dAASqg8fnEl5Tzk|;LSf5UY>RYpbJo;rA}C)^JF_?uO<GA|KGhJ9u{6jR>l)O
z!<n%ik~1v>L1B^<d&{o0Vd@p0<1~TUpFhCMQkLw1%i53?vfD0V<naoglG-e0ez2I-
z?Bx$tBB1i+b4faXCEEH)T5ipkOpd%6&zg^+bbBVTPc5b?a=tQ>X?Eif69H3iQDm<t
zmg|eNd*?BW$crI!9j+2Az%lMkCa<_lNB1Z{uHUuK33@9o$2CppTV4Y3FiOGR8g!K<
z(G0MRYC>!fhuoN$m;f63QtrJ8h_lkLr~vbIo-A7VxBvtx=J~~ig&cCCg#r+oYA#yc
zrGccc!>IQfG(VRyJdW+&6KKX<44s{wHP0`lk1!O3BaHXJ>RgRDTFX|StU2+O090T;
z_j=29axJLld#Ce-0zOsFzEo%P{k^Vo+~%A=pdD4z36smJ?LXtB7O*h=g!NUhzW6Ua
zP01x7TNKL&4R@9^Q*w^nZBLkv(8^$+9?XXm8Sr>NEM9K@w~U`@z?q~NZU-UDy9b}*
z+gGVK*IN)fVcllu$V+<|m(&GD8TM{ugr#17*QAcAbTJelmEJhS+O_u9T@Qg>i>xMv
zkD(K@sjkn($d(<*QDa3Yu$3L*;orEoBAK<o-AJ%a+ev*X65fXvfC)qE^`c_+pvQGC
zzvuk-`JPV~$=5$hRj&;+YoL9F^cKpiFz;SeiEhv0zV8ks3Q1*y`yn1sKR>{3839()
z%X`%R$|kn?*Ns~w#mEqvBGMzO_lKp7i9|(AGAKEPYO!#B<rl*8G|8P0Pq@CS-6D`l
zAsCWd{e*kP54Tw#;;144=LJikvi!)a{`70GU%{CPUyA63%%^|}khEpA;1S(@76{#q
z2QC(#%B}i8<LQAvU_2R+|NeyTlbRKnqklsHsWGPcg0w$GIT;@7bA@{`4)k;?{DlZp
zl4k-6wG3_~7bVKB9|phkipSTMKfA+PpXFySMj=Vbh!z9c4U&Wndo71*|M>cO0h;~p
z@qdZ_ZF5cbcZr8NZ~m~Gzk`Jr_kRm4eqp)a2@~t=oylmi8?4WYxdD?5QhM_*NkH1Z
zAIwsXL+!4_%x!57T!Nsb0a5XTZdN!O5s{sd`_0dOTChSMPQ0Bymms`d>K)Nw5G8?E
zG|M{>(99W_GBtr30X)RqK2L#ywfRxTRej($^H;2s*A4);HS$Qzqkb=x2o0xNgFdt}
zxVX69Fy|P;ss!`UJOWW($+5Wk8V|IiZtH`(+FC`RF$vAptL@D|IKkPH8o2EWVGM|F
z@H=1zNN8u8WrxKS@Oj3avGV@e@xQ<?^mkB0|APbN`3Jpr9xQ_hBB6(14Zp~1t#6wX
zU{&qs4Pj%d{K3eV;LDKlFEiv@n^2nGgCrPamH0}b(f-GGiN-E^%m~zI;niWbfKm{~
zzy@*^!k;WY)!e_+F|U0R^*k2L^ADN7eC5jR$-CchDeqMBGAX6{xmxGIPy>_??z|Bc
z(99r4uY*aaA`I>qtVZSAHL|!xdD5i>%Hq!f;Fhd}!JZQGGv57js~ez3L@8JVOx|!D
z2)DGt5%38l);Z71kL#dC0h-m;@+*{%m9b3(I9{SwiLgrmPCvKT9-s&{A8=Vb`qIea
zAM?DRpn%1oJ03zTpr_Hi@u=CKz<dqXY91*X%YpxNUZl~iec?w6K|1dj5HGeRi{6uy
z$BJulJoYD8j7iN@j#s&IYyROy6T0SqpdAU`v%$Ma8!dNEWYoWJUkOGOmQQ39bkQzH
zzuASm?uCUeQ8bQ`LW|P)#1O~}rrDAg-9Z4O=Gr?0I!GZC+D6lfSQlV$`G(*>TkngR
zAEE-O3FurorFJdfqLJ7+r8LRxEn?E#2%Fm<{9q46MZWA;wwLO>b-&l|0*7FCbF#R~
z8`pQ~GY$*W!ffu0Cgl=Dmg{?+@O`76EskvehlfWwy^3|-OFnW97LFwm4H2a79ZXC5
zH*x+tFr6YhSuPDFweB%m^NPBI+w%S<%P3OBSG^;UHVwpkj<;S5!kKUklibG&=2rRN
zwSaS|{BndC3}9jpeeYmDVF<abu?u7KP^;91pD<$P?iE6DQSsU_p2{Tn9DT43L>jVn
zJm;!D2&6(Q;D6qMG!zL8Ma^J9xD4S0lB}%x`V|2(s_d8X>d#Ky)Z8Bj4Yf~10kE6>
zw+PUJSvZFwWk2d;uUSafVa#b6!{aUElWpjA)VMkj)pRgN{e9q|46k3kWs6Y4gU2M$
zg{3tgTsKaZ1$l$&1v$GT2xHlTLz`q+=bVg<6mu8V9jtoQ7a~?oK39CN&|rJ&PU5D)
zh4d+9;LepYWC$U5?Wg>;@mg4r1j`tg3H4a!#ks{m9VNpHv0?c)wV@TdeGq9_$1O?6
z*KT}LNFktg^A$T{WVdQ*i#Kv#U6OuX7^2crF(q5@xSixfd8CchVI{pmopSHfi!bR$
z4#4HZ@()S1EFw@=;HqfEBkhbk!`~wR6{ko_>dPl7@f=i!<c0jm`}XQF=mWW62@>e%
zIfg9yweQ(3T!oaNY_R~lBp~%ZTm;@+$#^?WE|Etvh*jn<63kx&UJ#OCc34$^9hisA
z+kVHIp8~I|XFyupiay^5=YKFcou|8C*&&j#fy=`qZB2tnCT@EHXe?WS{Rw4o>0D(k
zgmt~$gBEZvrZmT6-<53(cls$IpJHlAyGT)<g_&x1lJYR*FW-8%Ijr0GPj?vi)?tb+
zCc@P+Z9(EokH3>}<o9cME5(q33n713LENZ@-<V3&$U{Ve=aDeMI8Vy0PL00`z;`Y~
z6ihA>g$RDg6Mb;@d2c7xKGyhSr6^1SHdqwA4)+7Ul~$&F8VvExIUAAsjQyduu(h1z
zFoE^KV&e7x<SnsuEAgM%|M$8xtbg^X(<o>E7|r$JUW>anF3xR_r{SyTC4XTolFgZ4
z{pEOUTQxDWSb8}yZ_C=6VS%p#{K%#LJlNF%*tEOOLR}gw7XvAAVvtRlr(2`medjnH
zk6tG0Qv^T&&DvS=K|@-Xm~#Xn8YpeN4yIqSa50agEHB^UNWM?Dd2sLYg9vZ)0NhI0
z@fia=GkZtUv(krXcK?g`%D9rA3NGC+KBf(o-QEGv;TWPYIEk6rAcgDu&5hoVe5_)y
z814VWu90<r9qn3xAy>ScP-x{LckeZJ!$wuk_q_I6<EhY)Mc`HRE5(p>cA;dy1UxNa
zQk^@nL;#C>1DHi%Z3`}{-B@)<D;OtCym=sA9E$jQqzMI|{)ry}Ylv!ABqVEIJ1IBj
zj%B*g!2N~Z;R^k8$$cFxPMF0X`|lAkDbA!BMg6APoG!)?mF^a~miqMSHJ3;uqmav;
zZD-=ho8d;6;se}LzSvD-Skh&DBGbJHa;z+GyzFd<iA!gE>!+9s%cgGuMiRWog&Z$f
z$r11Dz=tIXHDoZo4MHWd7IZ#v{wq$mlkR(u!q(x0w3oDT;3>`bFV6$0PYW6+N{<OR
zlm}NKPVW|M$-NE|hQ~+^SY`DM<8I?9EUewf3o&GqqRW8;Bl}(Hc~QKQT<{d}RJp2l
z<)9yYu=|5^#3mjJOE1^C5kBUTvAl6&Hsl8gy8q*ZuOYpKNg3D~Bc{MWu`Nz>&A<sr
zpv`6&k^UovEH3xig|jPR4+(Kw|0*avb3pVsqFKP;vuiOa>_Ehsbhokr%1^=fELcTR
z3Z#*P)89sd1n33;Rp*3B`-=a0w;K64u>Sd|`u~lGPDoTio^K_esPRS*PJDmPRam8x
zVE;6J2++31Y5<|kLxc10ff^O@>voUl!=^%(mk<Cz3<qVXP2!V_But+Fm7+3>;irUZ
z!8boV1Ov^B1)zk6B&@)caYy6}=CzTlI5_-A2l_)ku!V#{58@2_p(!D~!5w>=o@H#<
zX2EIyN0HE$rZ9y-Z2-x+R8!P^Mcsvby>@clN+G2{5=$Pm|9FT#JZHTg?ZWeBl(W<&
z;M-2`U;oJ_yb=JZZ8Rb{d@fR6AP-XA%MT%(Q^+eS;$#Ez9PZq3h6fEhGVip-ainOU
z(az)d4KK9V(`FT6XP26WgqT500>eK=Y59tgf_o=`vq-j{u=!l}27Lh@gl*gh6AO~~
zLP%!F4x6~G?R5Y&`UzgJ%a!b{)D^hq**lE$706@XXM=!dmUww{jeGYj?s0JNW8#qA
z2fl3!+=d^J7^M>N>(@R%g5`|O$ePDm=dExteqLSzL^lTH?ZETD&~wk1acW)J0~L-1
zeqro!&-Q~}66tI^C#Qg~!LK?j=zQ+l>_Jfl<P!tjiORhYuEq<}*16ih&+dk`H#NcA
zL}v)j8o)W!5pPX>K`j1!0^ys4==#hOB#|T+){zX$`MY%!A_^s%k{7TqSjp%Kq5=l>
z*FdWL*DO;_Hgb;=133d~rArTiLHDlrfOR@RODS)Hpns0Q6TB2d53sn~CCKx!dHlfu
zQK+8$4cHO(yMS#-E7Fa19WSLlpoZ$M5gn)d47N}P0RJ@uOAemTY9rq+4L2+4X6d31
zte`scKZkxjnhw46v%gztqqA);EXXaI^a~kiWBLUGjzA5)Vv$2h%afoC3lEC-;$EKM
zs`c|P4rJ;<P`hs;0$SD@5d1^Y?0f`IFVrgf`8(ii8UMt)y0{p?urC?xcjfZs=g<Qb
z8AC@9Tpm9mFzxOO5>Ey}vQ>yy=dJdDDp3Vq{WoJ9u*=?RqRIz)Bx=y*|I~&i7~x>j
z#(m$s8E_|7xg+At3BC5tw-a~|lv_dE4L@=}n%ghne<YTGJ+BbzKKTLjPs0(J#E-9@
z-O5;_onKS+9zQX$f+B12dToSDcZ^ZyI_X)|)@NjFvA47uNJ$Hzd_wrkXl`4?g7!gK
zasDs!zPYnvC(0Qm!u9D^YZWOfT-VLIg923y0yCMLNhq085pVFhiaB0Zz3;lI`}kH2
z15?sZw@p8sYuC)`hr4#}p5d0rcJ#b(+BtbPtQR3#!^3E5;MAM=0X-}>>QQ?z<)+@s
z2>FKeu&KkY1l<^ou&WlUqqkdS3m^yq;tL$|tWuy&=D2}EN$rV<iaNZW0%#{4`X-!v
z6mZxKPB()m$^$0Br#W8aDAfKFsjF)=Fh?Uvfo6j_?{&koZj-6wAE+J`*3e0Uo?!C#
zr?UKZzpxmPcP7bA0s<efTMo$gGOQ)tsz;$vGh-iPJL&CQha#Sxib<k{JZM#g<whCK
z66=|>shRw|aZwu*@>Z}r@Pl5HEBK~J?>XjypLRL>GnGvx^NJXua}C69nvIrZEWlDC
zv41nZbR5bUD8V=ht&;`xK4Ej`kNRN>ibs!Rrw`p0=GHNv65|@$@bPL3D;zFmKcHqI
zI|bQWrLc>L(7?hShjmQ2rt=>v`peTd<9x6WIv(C5ezvMr^NE)|L6(e*F;B)v?r7<i
zZSTefYLG(40P*~;rUpV-?!KkCecSwij~n*w<bykXtXvnh!Crrm3MM#NXth*~y`Bw1
z0p0y5Wq||@Ztd*I+M-u>lnBX-UjPk`M?}QXV-5gZHLjU^iD~cM6!&fEk}*myLqB)|
z^i!5O`h#A|wfkchQ9Pzkxuo-rp2qbYC8D8AS0ginV2G`^J;re8_J(4>Z!n{&M?tZz
zm22Cd?doadktd4Bc8U0kv}U@;rO-%T=s%)ihL8m)C6xR-vLI-9)i&Vu<*ERv)yu^k
z<pum3+B(4_2aKv~e03Gcn;iz!EAgXPOK>t4>JFI_a_Bt+I>MM|0b}2EwF-)aI>IBy
zc^(~XT04xxJVFgYfsV^?I~&P+Moqgv(nC4v`$ip>S|9BIxiyfPyHF%{0hN7;nz|?f
zKJP!N@62h^KE8~724buzXu{i{P<kxzU!d;m>pSX9=ObiMeVqfd)^}L<V&~u;AoI0S
z0AzQh5J&S=+NwYO-Q+m@W!`Qq39b4>d)f5wcNouVf5f`YDs3N4h;o~vh2oMFqar@x
zUX(ypv6lbbg(y5^A*+<4Vnpp$%bh4b3-yH0RIxhl4-gA!AGY6Myc+cFCIHHB&-mC8
zxM8B`<o6`BjGcG59mU-RBxurmCq!*&7e4>O@Y8&D?OoJel}a%_rgRuEwqaAk?a=@L
zX;z*){ND?OLOsC>4~Z2Z+IYW8eRF-xD*wCIf_P|9aN2LbP%CvQ;mm7MZ_g;oEba$t
zKT5hi<dkK2Y+bh(n|#wyfraD|;e8N9B<PM~%$ynq;A{Ra0>=}-a|b!3F#TAm0E$-z
z-hk-IR=3SM)ACQ#u=ZmCG-X7l5Y%xOn4Pj}kC{fFxy{X#Jh6dlLmmG$)w7$FV+Z%*
z>lS*F#(z6~0&%%uS(Y*El$^U^kJuDLF~1;}9+=X~)7w_`C1YW)+CP*$l|9o+Cgp3*
zqNg(*hc7;I!os|!GCaWjn2<=#fO<$m^uiNl)3*KUko@qI;F{n3^?X(4B0SJpDdhc9
z^UC>Xh-3`RC#-B1rw}_?TCXi-Td;xVe4w{{VxTwHGjS9|7<(hn-3K<mU|k!R1?%6S
zCGe{bE4W4)CKg?lz*9S}W&*#b{;**1O#TTb=_M3OkO$gd7Z5HvtfxS5reGejmbwGx
zArpucu?1`|U=JJh+S<>rv0%VE{bQ38#NHi(ESw&(=vqDWSAvj`$KYgP1PPyguEtA9
z2C-f4r_UW9Y!Wry?U&_f2bHD6m=hchyWXz0$POsU5E5#LdWZy~QX1Zp^@>8cT~g#F
znFo=ilR53V@3%?T8IPvD7K5k5+Zh|kVgvt>RAOUMQ(eAqj>LZ-Zq#h<R&_ypoDMza
z-14%SgT&|Z_P4R<v%@7y(XccIW`ur6mY))woS;zB!_~HWF8N_6#LI~_d-nr;?GuWB
zEnk#iyE`2obN5$;C?C@!c}`ehQyIGU12p>fnnM43_q=JdEKVs;Y^89X)te4G?ilaB
zw;or=<zU75vCa;_DwrWTB5(d!@Zup~qXo>QAG8^wnctH@yVn7P8nV0D(Nd$E{SZco
z4A87NS`y!1iGW#zaYF@TH=^pfKNvl=C#Qfx$epEl2c3?M*+5q0;5rO>_@?PYZy^*!
zV9Ii(^sIbXuT)mNB5VhQF^Sa?x*!?JvjSYI0#Y`AP@|Dlt~M}HC08{7ujAUo0>6QG
zOj-+S+O@vwIzI_X-O@369nq|M*2(wJk@h)`vD#1K;nOt=uz{wk#Qo6rT~HAB5awTA
z7ERsI$tFFcJ8ru9w{uk;7FADp9g<`Sf51oos@9V4<<I-Wget2pU}yT|I}RGWJd2LK
zKYb4|yS0ZlSz^To{w3#FekqvFTGFus`GVsS@n2|XimLNL80&aLSjk8;c9{7t;m_QQ
zvd_h#XC0&#uF$*brgVWCG(HOb4Loq+137?vaKns2?)ozP5cTfsX~D&LI0AknrEjB?
zHNy$D!3->i@a4I*aIyZ!cxvB^uuc>&6|o%3-Pq1~=gYz@3b@Wuuo_rj(qY^XrfcHm
ziy(9RG@>*xv%;9-Zs_0!g0m*AY!8h~Q7c3g6b1UjP@_9R0ksJDK0r`}qCX3x($!Xq
zZjWfZn-;SB9fL$_4OamY=Zaeb(q871Rk+EGH`2GZBhD(=STk&2L=+BDM3eaHZ^d2F
zjrt|<aIt2ekUlphTo%*+x>kk00$!dnRdk5C%7f{fsBC{wMkUi_SwW)}4Gmx?s1$ZD
zKcsh548(IvHCVeA7WA=85b{1fzy}=<h~5fzfO#!8YDRd<wLbn?4dq?&^%}!rM}_ID
zgr-i1dVcmv_42<j50$uBeJaq;vOqy1XBk=yvS-x+U!#RzuF`G%fA2M_SboG_+f(%Q
zU;!q5er0CJ%`CPLzcOsvzNuqGsooE)b~I9e+xFhu8@09Puz6@~-qQ*I-<~Up8+3I=
zkm%LBv3^mC9Nf2A!%NM{X<vp6Xl7Nn5GQ$ajXe1<*ttj6U+477mA~K@Tk$M!QTC`1
zjs{0w`)}8A=*dSjD9dBZ0F^EQPB$0b2c9|`NfuNKk=lrIeiFa5zi-yh;;Mm(k08|0
zVn<y=?sT!MsD>u@KiAGcwSeZP{@=73o3fQ3?wObm=j2^*yvXwNe*PVZnJb`Z;Ce7<
ztvr9t{8%FC(#0?syY6a%A{qYzb*w`ffYN>Qc;?r6m<I$uU}<Uy5LTz1=I8Q#McNOX
z3&nYpq3_<o2G*88Hudm-b-xr0ud^H}`nJNa<MTs05<FexA|)WWbFM7ZseIb-g7a)F
zr&vNwr8jw?fp~9oddvbF-eAV;u~r}pzZ5utANq9ywe^1b3K8riQPe+E{}#-$djsX2
zPDOWF(goa795NOCW-9oEZ&Ixap0Xb~&-xR?KZlYiZT|hqur@}9l%qIlt$o7;b~yJ?
z9M;fFag&;mRZVG`rEOx3^q|w8WhGsjv@=5M-d60{OZUyw-pEh8ERlPR7aIj2WGnE4
z$60}r6N(X4KGa09XoW;UYD)LNJ~-WK_<shBn<3Wc&lVTT+fHS3l~yO_eFF8Zl10@O
z)*_o_D?j^$dfgY8LuFsRUp9JQII>fgKd!6<Fj$+z*k$p(#@ZDB|K2I@?VZz3ZqHxL
zHIyNRdhCq!b}wGHJy36sgf52xQhzEeY9Rco`mZJkvzsPEDaG~F3-v4y90#{nM~c%X
z$1x&Y5giONDxX;~H)dkVP|YF>cXG#7`)WbnJih*#-(qO3SmIr=sQW)fVs85i33mic
z>z-~+R&^Vaka$)1w1=~BAT}ZbcYb=$^<X3a;q06%Al*okl_VPJQ6mJ`bARJE@Fs7c
zcKG5E8l7cD{1TAJ=-ege&e!2%j;AN*P{3007jxVFLk-9Oz~?Iruq9Up!tUvz@W$FN
zJ9p0tLVT;+?!m|f>Xlx&+774-Yt>KH{oleO82z&p*ZEKZ`{#isqJ=9?P+PYr?0Vaw
z*QAH|EnHJ#LPC0II7+MQ;6LfOSql0a^@kF$$JO%SRM{;sj1LIKO1C<ky)kWkGBP#@
zrig*MIa;m&*Y1QIen`wXV&sJiL=&)A1BH9E-lN9-c&k+z{GaECH6;ae9h~g&LpN;q
zxU~KI6kmoEf2moA#>U%KX$Om&H5;k-`1+_q<1jB!qi|&*y}=kr!1J1CPz<MXIQvYw
z9A^jzFWo-BL(0dWnL*N7?cs3NzK8ONlt`f|)XYMysHm}AO^`BwrNxzt48zSeHysq)
z2Hj@WDbvJOr(oVO8!7r6>G2QX%msk#dHVm~n<6#om{h|~dE(x-v0gt~6wk|ISrcDY
zmnC!!Bu+Ju#ox7ISqb1YP(XAWPuWkCh3vjeo&zh_Z}Y;RxhSP;4oMZ(-{1?h%4j>S
zN`>Y_b8-kIA~pN(&%aQ^ZWzs)J^*s{s6el7rD)zLSCmgdWj&lHC@iev>*TLrzh0i@
zXok|WF;#&2sS}gZ{dt)+a?hlH<+)oO)<2||o;UmAH@sLg+wahVBjmYWAGseX2rB`F
z8<C9I7Mw{qy6vBThgka1y$elWzRRfHuQOSHwdPR1GJOQi_WEsHyacQtA0U=OE=hQ=
z&m;Ck(DS&e_Gl${>ut7h0uUt2GtVs```hq9%#x4-2Mepj%`1Bp01mRFF?9$(`YlLT
z$N|N~5|n@2J@+>M+?IeD(s5)~d1(he!D@t*#G|mP(}SnIMNM}Zx%?R-ER(%xj5>3v
zy1CI1Sm!`WYt1prIM1IP6MrV&j)9sH!*_t4cOaSNv)y0QLY6iGU)J=3Ny>ek?LfD|
zQx_l=RzM*J9?*emBMJuZjK9{`P(>}ht+JkLs#@D7G6}A}5-&z@u#}=h)Zzn<o|Ovh
zjS4}X)2eaIpB%q}TnF-#Jv^H5dAlXG4v*Aw`m3IN=kKWDRU)D%N*HNQYa<2+jwv4d
zTG=4Ws;YsrzZ2a4Yg1ORp?LvDO94GzGH<j62o&%Snwy&1;P?GVgPu1}O-(fhO_+M+
zaGut$4G&nC(z#Lr&mfp*wA><Y&=Qgylp(RdW?uu6z;qY-)WX93^Qj2wVcKpv5_8%}
z1h*s`%!J;dEH99cq)~{EDN>igDVt`wKc1Af_7)!X<cp0M58_P{Gs<^q-|-;f(lnj3
z)?YhX5HSC*Ft8Sjp@JJuk7PlRxHrwdYD`%E)DghMx%G9+<L7`&cL3{1sgr5(m7gC3
zRheGJu&42*gU&}@v)$V!ZmeoKF@u&Y&PPC|IBxRrDI4tqVOmi=`RJu8jFlM>+o4`b
zDfqf^!{Z_fRh0&FayzWBvH$mpHe2kT!%EWuKk9xeE*|_t6zcUIQujI&_tp-)f3K+L
zJ>=7l{Dn{#;3a<aKot)7E9|3;H-Q;Az(BpOg*wt6K<UYZtQ^KChXVJR_(uydR;mcQ
z)FXEDb+A$aD-#fhk4n_6*cEg2dHUP_H)HX=v|uMy#WtLT2h`?ojsOip0BSC77i|v^
z{-ZY?t?wY$f&8S4IZ-^4YB+pgE5O!YupZmJ&T(d`w%?a{;g{+bM9mG6T&sEs&23c;
z$Xr(}6pMp(MjwWe2^p`A6!Qmvx^!OxW>u+Vw~eoiQ@L<vbv=;thHs=DL?QWB0!me-
za3|C&F)%RR@j$y2K4=L}5WJf=(RcYYX0_mbwf`_59dV*OjYc9t@-_iVJW+bkGg9re
zc^8!1wZ)!rUr-}YLSYnjtu&9~%KzYS_27FN-Rpg;QP1D8$k)9hg5bHz0FfC5Y`~l^
z%;YC=#wm{h%9)`bEKr)`;BC0KhT*)LUzrZq7M|ay=5+>y)*{@xxh^o;Svn+OT`fKs
zNl=DXK4H8U;@uC#RMNnY1C~O+!F2!-c=`+ThvSBcP$;TdScbv@o|5Rzdh}C(E;foD
zIzf`}GAtcLYCL~~!bQ~c2U1s&+uNA$>?%V0@OE4Thdwi-nMil?egS|JNtv55vQFPa
z_AjBNw7|I67i|usXwF%lMqzUOv^rB@IaOp4rx*{aag?xQg%STEOK_paN^OYa*3*9~
zz7ndhV?W{=rT+85!a}CHMJUvz|9_iE1q(idA_a&yqwOjwM#?AiJk1sY!rs$C$0!Ks
z46!lb`;OKc7|%dj)*@v<W6IhE(Lq!-992&f`129J8|4#JQ5?KAJAKpac6|foJMiHI
z`yLYjIbT-I4!u}4NlG0&$c~i?sO3Uxw-j_*Goidn9+f$`17S_o(>C<%J&ftMv9BaR
zWv}&l4O`2i0dpi>#)rG&eWKQup!DJ(i(#}slgrlm2Tj`Io{O9DN%3>qby}N&k#1~`
zS}KnEf2qX}f#tjO0gjSx)Wt@M2di5rXmt!r^7YlihM{47!{CsR7+|i0dG5LG=M7rI
ztj*bPTJY>^)A;y3X|$i8+n5dS-VqFZ(<}UXI`B6)!JE2d3>LqBNNNfo7gOUf0MZCV
zRK!BAyIDVuFi>u75!Ajo+P3NdvJRvFJe_c35I`O!)u6c+S9sTol03}3Tw}e(76%zW
zVk}G0$Cha@uPP^N&y0dEezeLa4WM;pvE#oFMMqhzm;xV9G~%MXSF_?dqC>1Slthf`
z3NtG{MVztWlpK=A!X}mvoCa?oG-|l5DNaG`@DX$uCI=PBdyo8hqg93l#f}yu)`U%`
zg><Kqd)unuVa7ES3VsL2hcU=W@dyb`h8@+Y+<~lxjN!G3>KGzuL#%7J-hvjrw_rWz
z`FpsT60mN<3^ahBKzgGLsuxDFUjuGhFJCfYwq4O_=2p8O_)akoj@9uAPw;Tq_|L0A
z8au7Wn6Oxn{VTSf6me^wh)iHaTj~q5?w9^U&M{#o<oNPlWlE;??ONA*xc!2g=PlVS
za$0NlF~(e+XI%YacnYD5wc8!6;rYyEjD+5z)>9&I=oCfnU$F4G1jv{C_BZJj2ljIH
zN<clr^9R+uQg}?mAb$WB|2b^UJ<c76peeI-1&3F!Fh<A680ix8=d)T8LBnLlcA0@0
zja<MgtnOQcz_Is;(r;Mm^+Nd()PYX$i?4}c;-ciXwzs2T%oa9LlmcjSuRhzuo^fOE
zzqtxGvuJZpjBhdYvD@N|3Ht7C==zYa)UuF8oO^#>Sy^^e_%J+NANX)Oky&aTs!|N7
zquYQ7+B1IGx$qF>ZDFBEQ{&!WTjqW&yYft~c(Wf+V~$7Mrd`kNN{(QTW&$`c5`MkW
za<4rtVK`nyXCJeF{NEEsNo7%<39~n>ReD91MY4CS2$_W;`m7Hy6~T^_MtFYyHsBtN
zVvaWQ439~D^I*z-N4`e?hcaYs(?InocB?^sl1moRB92o9P|xKhe5Wx0D|G@&**rYV
z^+0Vyxl55*@soG4gyq!K6doz5nL`THY$0hgE-o%x*!dJdNvSr_r%n|x#(_V}F3ksu
zvv<&PRl^F`A;}}PX$^2F9yXmIB^jWuZmAUH)$C%4pik;r)_UmLJIbDEJtDr#g8)F2
zi<oqDA~M2|wX%WHnys20g#@p_{9u?qlPRpPW|_P78H{9Obsp(fFkyJoEJzaSuz~(E
zYFw`8>{7X>RA^+&mxA|}6IDu(WyI3MR9{Svt@D7QJ!8lo{Kd?D@L`uakf|A%sbEN3
z`gi^vgJYFW0ZQ_o%Q09<sX<EN)HbWSv<IT`NFbd$K~I_ic{e!A#HgtG#W?*~@P_^Q
z+SP+B6SE@5O%?3Dj$kh+)b+OIP1aI3)wmancBG>9N?d0hPXNp6)u4Qz6;G1paRHTx
zM28xKgw1vPb3;QzJ;z3q6ubiFI`k>mv-DM!(_WoTMPuwF>p8Q4T~C;a4iFE=X-u`X
zg@&_}LN@*Si4DvD`h5874$4*<2}vurVkXDe0dz0RiGM;yEh6#^(+^tFR_LeAen~>d
z!MMQ&(a=+#XiFiN?exj<4M@Ezv!0%UrrP^4RMx#`yt2-3=$RIv-|BB>38N70_!fk0
z9*I^}WEUE+Fv@L9$@j3OBaAm;Z);lEQle%V0z$71`nP7Stow0bW*bSolZHh(G7c6H
znqVS!*EvtZE4(&yk7^E(0j$x+_T<c=+r-wCv;VY#W#FiimfNJ06pHm06cuJDD1-n{
z(*`Jn-pt;S;*(52#Tk)x_oo0rEMaD;Rrg8msmEJCKROpL)z{|kXW?XOwF1n5BbYcO
znA8<#r^ZW<GFI(dxWP&lG34)ylE$d_*c;TSe(Te|>0pz6NMXK)ED{hFyo^dr!kSmy
z{Lo{+WBbD!w^`JS75)GUWw^DsA5*B$&OvWy9Kp5v^v|`|U%Do3^qx*%MbN*95VJZL
za#UkCISdyNRrWd9E~~i=3*YiWW8H3{{-c5bk(lP1q%>z=+VnF4IrDa#YdB#M(6Yz^
zKT2;oR;Es=59?`k*=9k{GaMbdz7Fl~aI`McX#Q8Msi<LQVSy+P2vjKeGv|;qvj$BN
zeT(92cZf*`F(Y-YAYA8tnsqTRowq0UKQ~(Q^|oGdXDM9^sHIR+QYrzZ!V^2(wdIUB
zy(l=5g72w3{yFV&pgY>&)i5~@tX(k<<ptC)$Y=y2n62;IBNo99Jc1ICxgqWNbqWzp
zP%Ot~8G3ANz<pP*9L3s}x=RRvK!3)g&1hOtOK~~!luZBdtP^fR#VAeC=>MFr8#<rP
z9$$fi$#{Z32zMF>?l&DwXpZYQ;c~s_O}1odd8*Z-PqE(^AGn|~C0Nbtc2E8?9rj{3
zCo>J)Yy~IbCj=EQ<dJ(S^@g2=2}!;Y?&`<m#-<Cn?Nz2|6tPlA2cP0K&w8xgqL5t8
z7OugnC(0nBk%X8lb{Mza)=uGG1(#O49TW^&GGODFcE$ItRNQmwa^Fbj@A)^DW6}Qk
z^XDjt<S;scuP6P=%JJjw3^2BSbl)E}EdgRapxY9(tBGKHm417ZvY-_YPVE1Ns|fQe
zFWiQi*_v(B<D6pG<9=SXGwVP&H}Wr5an~-qhcR2+2sy#642Pj-H-`7D1V}#*%5PMt
znW-f_%DQLT5)_i{)|iDd=2x$pQ3cQ?JrZH@y9ZF`@>qFp_b14a4*K&c0(j)H#LG#l
zNK6b4*77+%f{az(Rq*USV{@Ith8j?A5(N<Nc7h&-n)>{8NUElwxkPkX+IY9YQPlBq
zDY{)CzcV;9;P9daOW<qh)sTU&rV_AY`D_sVSMfL;56mqii>)^-!HBK~!2E+gJ`~PQ
z2Wug+_J$pJoM>osMOlh6u{JyaV?MfFjm2T!m+J2so}*cudbbV0Yly{r98_)sZ>2PP
zK}uo#rb=t;P_fOIc^;UT4#DA+XT<>r#vo_-g5u{FfM~eSor18l4e;^xDN5v*ii!LN
z+HR+87Hjq?R-LCGKe%!4ZSvr4b1I9ue=T#yC5V~>aDv{)$H(<X3jmp+yGXtSIYH{1
z7mytry6ZFW(BHNR#!)<cu^9+FdGv1u>QQvL0*j`)E~|=BYOGBk#K{GgmJo{NhJ`a%
zwD?-C<3B@}m#@XuNl3i$^~FE&+J_cifuLGlz%=8H+Q7%A5%EhX=Ryoa%(Co5V(40P
z5hN9}L<lizri1FDzffP?3{VKW{s=1fN{lX<b~_yj3HWtj?v?Sy8#VDP{K);<AmUjS
z`HQ@iok|L+*6eW;)r4*3LT5+hB_Vq#Pp67;L5&k>04U`*O8k7Y+TRva-qBgJM4^V$
zgTy?xWQ4AHkkBVQoroBKrQk>aCX(5GS1byA;kmuA2(Kyxth$)~@$r{=K<p&STnW)x
z|2LBnsJ-4o4vM=S7Ft)O?sLM0%^bhk4Cu7j*>9_RjV9V{TZxloaLh@?{`%odkErL_
zi4)RKO^)A%5w-T;T<~1az!n-d6e3uGqje2n-bcdkSz<6y45FYC;`b$D+xa=*mR#*v
zFtx+B>6Sxf4CZx*8DADdgVixl<?K^foyOSn2kHSc9$so#IUiv1w@k(P8N$Q!jpo@}
zpLlG#?sN-Sib;B4O2NROi-slHrLcsXdFsq)#Zv>_6L}l!+Qovm7ayP+(d>!AEE{|k
z@<N9*nLkSQUv6V9>6E@6e*Be~h?zDa4$oTQCank6?0|Eawp%eQGxq2){*G`@ic(-e
zY91dy<_n3LGoQB9-I`Djz0rK*nsk@zCs<V?!gZS7;xW+Bn;xbFW@;hJnOE*KG!**2
zgb8tRU-7~#PB)=hgfqorbJ*#--!*Q-ra<HJ&r_GIrg-t+zPPzkIuCzMxTpHCrd+)z
zD&qE*9<~z_Ix6~P4R*)G!L%!!uAo*ag%OQ-leS@8T%A#BB$~4JiAgdt!86T9-WhMz
zOy{uOk}N0r!`}Xrl9Q0H($v&9)6%DpsYoZP{C4wnBWSizGj9eY9uZ#W1}f$&OiB2U
zFXa3CHr=?QG%g|{k`B-v&ZsraMA^;UMq_F*!%ORtNlR9lAH8vdLDRg_`>0$K;gi+J
znRTnnkO`9;1a#N1OT9Sf!L+}7(GTp<J;li7jD!mJI-i{!IQ%t`lMCrC7W;LT9_cdi
zmOP!)>pkrjH|8-yqB>hUAGSE;(Yf%9Rx*|48}`9k<|4Nm5X$sD{yvb1;lvN|0iX>5
zlDYc>Po~~6d5x4fD!#;KUNYB6DVB@2T+~rhYE1%#FvkL&^J~(3i+^lNnuvOfT84**
zH5&kKlOAJy;yUITFDzCO7Rp0LsYU?FCXW2UdY}c!J>uG@K=!^l)y_8}ow2aPN?@+^
z4gbp*G#>gu%{?LNSx&0{+O#vxq~+1orR_J3qZ@sX+F;uz?P63*XI-nWE|Q*RFIZ(#
z+tO71r2Ka=&>jk+H=Wc9_9yx2v9B>O($P7_hYGj6yXK_!tr;?OJq_0sPtbXapWjS|
z8A(Y63bN|V@-dv%jhT-VUb0Ax<f*T~I*085T3d)v5I<1`oSPlO61->>`(hx!x&z#T
zNKo}Qu%kkI6W3ARq#=LK8#(0+x#j-0g&wtZmAzw0v{I*&<cZBQv46{-L_&i2$B0pl
zVgr5;9KIDm!=nsVs>8Wpjs=*rT;HUb6qhc(_}V*0^U8r$H7i07<pQ<dg9{fmQ|(?S
zYT|z1ggLHNUs>gTp#R5zg>NL_rkU>8nA4mAMH$M@dk6=L0~Z6<5&|m~1%M@@)2>%E
zvzI3|EiHxQlB!|&rH|Ff3m{bsY^;mjmY9%Z_o=^6y=!@`YFAu4H3w|Ahq3!;&(T@{
z4(NUegaGO$w5k+f0szNU)}{)ut|%=9vA~>1);?6F<Zd@OH#KMRW3n|LWKPQInhBMa
zPEq^qk;xU5U&5e3MEAEo!FZgzDTTmeM<jcP;t&N}b07+;O(D-?=h_pbt#jNwZ!LEI
z?mA1p9q47W>@)=pwD{6SJ36<w!}sbC_q|Ky$r2d;S>^s;p4GXkc^)k@CQ!$FvzyD&
z>^mD7{&)&8rg)nt0CUQ3`-nq@!hdW7r%JPyi?b%jeAaK;kA}IHrZ~TB=%IOFsYS#$
zzq9NjA<A0I^WQ8c(2#jQaLTdhNX0#C5g6X~<jCP1hQ|q6fPWX70d}ZNhkqCQmAOr?
z9PU=q0_|W$J+6Q*Xd6wq31XY~bZ%F8{B19w+DqZX_yFk{NPIIaE8q37VHDJE(mN(|
zOISPwj70`289gVbB1Go2$zDQP(ba{=$*nwlT-`mvoLLa?1^LjSb%6!~9<MCeBJ#xw
z05#i&L%0KW2!;?i#=}I6vyTX*5?xEgk;_~9@*VdM?@KD!9~0t~*Sl@!Zsc9uOfDYM
zsm;}#DSCc;9k|X;S$}v6GmZC7l%Nf6Ph?f`GSA094+Kd;JM{U62aX;d9vN`<AbpjM
zDPmU)xy{!hWnkx!p9|*(awH|U3_atsIB52KYEEVs6ci*A`NphbEG#61;QUDF{WT`v
zKEDIpeg}+nuZYeP#J%dl!8BQLk~0?%2$Fp5cs;CHBmavuLXCCVcKe>?cES3$6+V=s
zKSqkZxf{@SuOT^-<0BECm%dDJ2CswX1f&SoS#j0>lya+bSdB%zF_7C~WfzKxn*uy;
zJ1|qp@hS(fk$~KOhZh{bfd{8xp_B%9FrLRx;K@D@vp18^gVZ2cFc%zcBHH1JBgJ1A
ziUunHK1j)*k5?|tuhXA~`Y#JG2;LqU-}L@_4Lz6L(xbKZk9@g;tPUbZ4VhU7_;1uv
z-Ur$<W&;Na@LjaSM{5F{i=;Vy6C)Fo)Rgo54HrN`95kiP6VEQJ{<Ff4e;;L(8?x|U
zU8r+Z+mW7qwY-quj9%EkWQQHLuUpHyp7|=;hMZM)ROB@KwCa*Kk03x-km)8n4Tgre
zPpF8hgVrf^aIBDD$HT>?Iz6o&zT{ogk$5*$Ze3Zex@Ux$c(X}7a-95<gdqow(l>2b
zwg(bIbxI8|kLga#BsooSaUYrhW{G$EHVb6^7~9^3d++@y_}#m{2My-m4Bcm`V$pdR
z?oBUNxhlqFq|SkmIf0{I{OwhrTt{&cOV*|Lji%T_3q>j7UV6yneqeWruxJVb4Qhxh
z9Qi?P5({GFkvd%moC9!nfqq*J;S}i}DT@)yh4Flq=(|R^f=f<LzR7QKFz%aQk(ALE
zFU+riCLeIZbOTUMA$y(&n&QkWA=#T35L96@{0Sn)VgGvo^;H_QpG|5RZzbM%=YGDA
zi~8${y(I9b`BfCH-Ic@Nz0s0m;&{jRrw-Q><*sKjjrNPzwTX9Gj92960l5pi3a!#%
zlG*Hp|88F44N&aLPWb0~R5~<A5E0_xO$)Zbe3AiQn1Y8VC=DpkT6KEndCC}N3?>uO
z7?mvo8_QkuS1KeV<gP4^X=gr`3iKEe4rAUM8$<7PgOjtKJ^(}j^+Kg1n~zuQnnn+Z
zQO|B|mcM?oa?ck_9D#7%x7!(QVdqW2?j6`Oadxul<?wF~#wr9001TqQ=Rl`1F-Ang
ze(IJ2@-?H#vb4Xkl~gIPlU8v`h3R5*4fU3zZ)U89ke`d%$`a9XWfxHzsSFd4n59ZA
za0c+_?xSyhmwh$IzXX{>Q}LK%hE3&5$U{#|)cuZ505N`5tG&Pb%c)~8A|Of|WHX4S
zlZmNm$QZqp?DiB1WFzG^4is^Jc{X1LdkkFu&iJ@PP~F_>s>Q)Ra%NO<s9oKFWC<6V
zM%w*e77``GmnuvAAgLI@?$!soyOkpCwBWmM1Bm<T1XVCta}u!Vfm>)W0ck{dPrzIl
z2MBJ}i4%isK7GUpg#VzorCmi*^zvC^IocpcmoC_SAg}CU&}V(9@5I7Eg^KpJ@HAww
z2yNwlO3NT*0ixoR#A<+zo0^FH?!fUvW0Hi>vuxaycfDhNW$SGI|KQkJapJs%w_P@$
zjMr)kxbF6lj`gU!95}%ieQ$~txlNmIgdCmXX&^H=^nr67%CgiC8V41ruA<0@JBUel
z3Z30V9u^zWY4<J#1$qfn9xlW^#51Bo?=<ZxE^{$TeR0ZVaN)^VB(%K<RpvdY_uAmD
zn5Cb9D++<=AZw>;knf_#k=1G!`h`5eG4pj^Kz3cjx`xbary?OWI0q2DRs!8^-3I?>
z*fhy54iq{5eA>zqGUk`cKp4YBo!hXvH%vKW>S(_OK(|y@%GJ&&LHiuC2eJZ?CfKb(
zlhY1~BPO8qm0Y4~s(`6?8MY2xCl^))n(F&AJk)EW|HmQ=V)OM`T0OsErpn?HteVUq
z!XkNvW1M3;U!0oDhM^A7J0*<6fr~vL>yU=M*2bVs$HT|p$%;r>{L+Mj^UgZqW7P;`
zU1?Rk`tYpUUYcWuj_NW>Ipz4nul9igH98~hO;tjeZZ@Yx$qA6-Ga)<|azT;YD|dJI
zCO=TvwIx{BGgDLlz6huVyiak6Mh#?or;kPg7EQ~mRQzw{q}BmM6pd73kea1~Yig?^
z^ZP?^K63!JJrw;Hy|<c~Qpm8Fi_w^KgOCnSAWxI<t}4dTn>TNEci1aUQ#^(qJVCmj
z*P;!S)hzl2LN5*+gI^p(bFH%kRb~b}>_Nn8wBT=bwAS(0fd#=2CPv}&UxdSzA5U=_
zl+XXo=@{OAC0#mp6$z!Kgo3vKAkEV!yuG$UP5ob2gV(xrFzq#*vSZ$p#b<uq8BPJm
zO*9Oj-0uJWI#*_+L3Z%!0CY~M=Tqfwv)lW<nF|@&n0qNJrc}jasy(b}W2(3uH+g(M
z6I%sH50l<o*bP-g;4=tlr-fU^t3IL<nvlDC6SP%){bCd0+MD?L-fNIEfVX=L8l#m@
z5mh^L1HBMJ&~IUlFCnUze{ur{$8*>2mHE@8Qe`_#%lsOdcU0GO(3gijEl*BPLjA<x
z6l&xr)Fve%$?E+o8^bhP^dn=47Fc)K<hChFo_7`XTEWi`ZXODS3r8{s>3DrAU|~)F
zY(A77hSZijr}#+<GLYX!Dbw=3QzS&QYL%peh)98$TLV9xEjVr-`^vjJICyS4;9^|_
z7g+?{gf;{~gy86$`glx~R9(<g8&&i@jYxYl5fva9{IPy3rWEG9E?`H*#0Y-|yWX4q
zK&193wGO&C;0uteIpBt2<Vi3u`@COl!xFgWV4E5xsjz*Pvm2v0fihtY_SLHqi0}(~
z4tsQQE0tPtEj-lK$9>43el_m0A6r{9=RH!R>Z0Dj%U!HOxOK4S*!F!A!Sh~bodlO;
zuX6Q@9wb(kBE8TZ>so3kGDU9V@PQ9nUb-)%G>g&W9vl|tIOavhvMa!hF&NdUK3?&^
zJ{P(khlMTp(t~kO#e{*N)WZJ&ea|HJT6Xcwu%4Sdrev!cqIvA~IyD+Tg=?B2(b)8t
z-E?tVY#clbRmv70>|ODsD%N93kZr+KCDP~MF=;HAa?A3Sz|rT@=puWk0uDOZ)m~Rj
zvuS=EscU!y1WmHOnaVzwVC#eDE3t$lG@NgVGik*4+(jL$TH$-yEsx9eAIfr&Huszi
zB4nl5qZ|evZKka73zkgrZ-4|_j?`KOnEyl1K^t$frnrqj=Ykw+b}xYi6JGckIco{s
zYBUJJ+Q42zHpB?f@6~I_=Zm7+Xx|2HY~z(?WBYNe7KS0MynDBS$y|>Ju3T?;Ns3a=
zg`U3yh>}GFz=Vi3MAS?N#I-XG37r)x5D)2x;i!^^wJ;{|*}F>2)oj+Yg2qc`b{Y>g
zBiFIi%@i%H5m`3XLrxGyFJGp6NrFxF))%liui&!lz{6$$e5(#&6Xd{JRCG7*HPjv2
zb)?&RjfB3q@rseSB`StuKrWCT5_OP1jdc9`o6|@+@ia6j$5KCre4Wr;P<x@OeCLNZ
zI`0JU%NUn=&`P-1iWom@m5CCF{;*1H6HJ!vjY~*iXbsMZXy6pK`h>#n340usT_@pe
zl;YZfnY9fRi8K@xY~`0w8ZofhICq@Q;2Xopkz7f+LfCHE38#a5^1jP@);w@k6lPPk
zU%S1z2ur>MDdseqx+MrZn1eiFzzK)&#roo+$$zyY7VF|NmqlD+!-+F);*r**g5uSv
zRIB1w++StYq&JOzlg;k?N}X)l9UP8Jjy;)se^*x<&Nah@XR1nek;ssA2nTRz+0BD~
z7#tWkpu7DD8dmXZuAa~wBV<Q-w|{9~ALLzpf}Ln;u-u6i(PAO>9V8mN<s|@nbU;!4
z61;X-t7M^=->5R}qQrnv;`{va78ri{h6?j5w9Z~pR)iS=GhX~D0<dm6GlUJAApvIT
zh|Cn`7sN{zK<>DAvID(nA76}Ik1xDr6g+X~?@`fQM#)!WIGNfPH!XHa$Zz6A;;2-1
z_LRP0xQM!Mj_hz)Mq~{=Njk7cfz9i9E8x+SC*#+z6qm2Vj>AE0-a%s_HC{#b%NVG}
zk2x6Jo#{RAK@MrB=gA6u6x)i9LQd>m^YjzQ!P6aBff~(EsR3WpA;{G2XLVJYKZEIp
z9zbWF|BB5pvc|$=<CEqaVYYcc$Q+J<A%k>X9D22FxOcLUgP433OX&pGeYd<kgWuGf
zwfZ&MXE(V<XT$%=Xx%!89y251jtSl`82*f*&9dG3Ef07t<Om>Iy9wbL3ID-dA!;aZ
z#ct!!DMvwxjG~!D&3p%Qv$;dUyIwtH{)5{{wrqwrSot?1%pWE!h8Xgx%_}aBv1k;q
zAy8(d3tLWn3QIp8C84`Igh$pKAOcHF48MsWalfbM?@EsLw=V8dH@^17p7FK^*Ih{H
zJ$|pnb~9S06n+C*-4hP_ko<hbfujysRVDT@?Q+u+uwh{br=TyV|Koj#Mt8!CLxFZ8
zLT|3z9t8woS5V&PA_lU#7PBqqZv>E;nwU|Vzc-r?toP~;rtFT+I)|RsyN^nxnAfuM
z^78)wr2Clpxm=>r1&K~W4q*U*JX8zYZXv)5xv)JI2?1&%5Z!Znt~_eQ=~&p0YxXdg
zSv-D0{ASt{m$?ouy}5?tHrP}qLO-GqUnnxSLpG%j(0A$B5=}Qy@9tbrZK`AkB#Il1
zc0xemLmJd$2%2y1?d5pv^#tMF)j5NYN3w(dxw;7Ig57{KMxZnW#&SsrU^PfjX={^0
zYBw1$t=ayu(5IQM@u<tcRewMYpg7!LRQ4~ZgcK*D`;U%6nASFK-LM|vp@^O21;#;G
z81l~u4SiEu@DGqT{-j2qcRFuY4=80eg=!WhrTiwxJvW=9wv|Vp8EV5PQ~%Z$qFib!
z^M4CvJ#K&;vbh3PpLJl>MaxH=m9th~faK{GEQzkEyn%X6w&(IP^j+_?Uzw#v3K=uV
z@A<K#08?Ap8NXdFZZ0x}K-$tEY_#<Bf@Ml&cVj+6z9TLA)5V@SY^L@EfkK2Gkvsy9
z{C)@cHgE~vEEJd~Po`Bbbj=to+<*I|xy>8nLCNo;uXZMMPhqvg?pT1_hpv2sGw9P6
zGE+RG{``4q<k46@2!>eTYEJ%`%4)VkX2K%0Y}d@^VUdsrFY(>|kGh?=r$#K?=BEtB
z863}6dZBUYfRBfxr%V0i56F56-90RGycSgy4g|{>nU4Is|FkrXU$e>|AifVAN!TFK
z@Z+e?^Q3y?0HN|h4vGLWoIk#@5S-VI8NZT@bFYE)s*FqMK0e`2;dOln%~SOFt#=_|
zT!6Dxm1JcxY1IS!05U{<Iu-n@;bcPFP3etQ7pP?1$5lUvz>xnKR<oKSmJMXuX$i`_
zgqqMt)J1@`ZP`S9!j-)*b@%LykY72)4LS^geXUHaF>oEKB3ny#Y(VT30YOHH!zpwv
z0PDsoID~LckOtIy1bR{m^eFe25m13_?e5x-eCq%u2{gn<eIpsoaEKX0<BoIwQZ;^<
zyb&BDX6MxDKW+dZ{gd@K{rTz-Y?{adK+3dycy%Aqg#d3Ctb_S13!|Hbs_D^%9YhNT
zU1(u%FA7!At!_{TfZv^E6@PKRw{IDsdPsXH6cK6~LIE+?AiS^EtSqNAU8Cnbi;;j<
zgpzy+4}>17n&ke2ZZlno|E(QIu&{bBxcVxy`+*n_sHMVEM}KurG~SL9x6?LSjmPAe
z<mh~JmlQ;Gao{_+cKtf<?X0g(n|cu7Q4G7EZm(V{knK(aX~U$^H}VcRJr*DyR_-s!
z0JH)0z}1J3sm|#P-#H*Uupt7gQ@_7sQqq`$j!__DnA+TdC4=gf*){@%Rz3?Vt^GrS
zn{abO^Ey>7v<-o*xc^*DM|B7xopcZ|69;XH;O^@jMMc7bDmW$r_OVe#931y55y}|l
zts^tPNS#u_MoVw|C9ZIoB09cxm2Y(LIEff(wn--oQjKL+EemK-uer>*S3u{q>t77=
zrDe1s@y}q<3qQwBiYwoPx65^Z4Pmt3!>Dy{2BbgfMCHN8?*X!D_r`Fer@^>{n!n<w
zsrg0%fT%CQc=1K%gDlASJdm$*@UGV|7+9}mj7tc+8jQKd4s1Rw&0|CKV({;S=mELb
z0vI}swx*_`v!|;hB_~fxU&<Ck@H{vN+{^xGh3ba^Lj?FzDBU?!I)n3_CN1Oa4V4fD
znc+c&{@pm)x4iuLSrnClouCh}B(jxefy@SSTtk+KNm5AP)&Xl82e5W!ZsR#rRaj*L
zY9wUflB>WfPZDwImr7Bv7}k=IU_&GF;Y=YhhVW1<B9#l&a4MFP5`a}wm|Wek11Q<~
zI&qMDaRY|y!Q&DFiys&`>UN_B*L%g#c?fRWJ_YyQdw{C=0=12=#9Tt>4H5Y%IWzEr
z-tKqXuo5zO9`Y<d{PfS#L%bu-4r+rjXJIcduVsi3fi<R$Qh%yUdImu1Ku<;0nE#_S
zl6Pf#`rHq5241FXR%vi~)%VwP3;#d1-a8)4{*52L8dBVq21;b6QYfWRh?czx8D%t-
zkx|(il2P`kh-6$Sl4Os{Oc4>;nc15Vp7+Onf1l_1y<Wfmx&OGO^E$8d{2a&eKHejr
zkCT&Ad9_=^=3C}gFlLy{=8^yXFpYWD`!Dm}%0$$L#n;Ut8+4Xh8Nq^v1}Qu4Ia6Kh
z0sOz8Yiw)+MQqpp{a<=WD_$rXiw3e4T>HE;S76+#l~VmI^GtG2L&9h&IB)7Bw3Nd1
z0|Cnr-ieh7>sZV_p7+1*B6PdYC2Q%x=Z4g#n>``6;o15nw_fp_PRkjQwxHa8irKcm
zJf4rW3u}UP8`h-0S5yoe!Uh-;5IIn_Z{r9nIezZ&v%lX`1OCz5#^YbTMt#ke?F>dQ
zc%3rLo3ylEY5P-U=RH%Q(iK0L1+-D?p0r%306$isL0Dc&(5*<@tw}wn7y}2V5Lhhe
zwESD0N<nCTE^>5qbkq;8iO6xDQ>yeMnlduY9Tr3*hdF>ZOP_q~-~@*043Gk&=x+_S
z-ux>4q<ccEyXe!X@G4>DUucv4@pU)lnQQ806GRwq`;Bva7Yt~=LL^%<Y@U?G%@=+U
z!IK0O_7ei)XKL4k70y)n9aP1J^eSAZc1urZCpW}xwuzlMYnF;~h}Z5iDUeXlVyf_T
z%YZ#|efsqx8`-L<QB^o)iDNPvA(qaC`yL)mgC0h2aJ84v`LCsuvNow|=T39b2*pw?
zWL4<!cF{15_`EY8xlK<jM1M)UwUX~267~ERVNJ#_p7Ut{2z_F~F8w%$MjuZnd%1)y
z0T+oney*(nHEYUIUb=ov`v>I~WSMbF5qw}CchDhLivw(#46(}hP@Uv>+#hVt`riM(
z>&v~Oz(lRrd=R;(;W2vlx?YRX@x3t923%n;F%@E4IfoM1C${17Ta)t5KeO$U{$ZEU
zi|kxM(epSfH-aC-pX4~D)a!4l%8Gl#g(Iq6YI#%`x4!KwvIA?-?NDQ$V+Is8y38iq
z4qx$m&OqgzO?YN%6lH21)$Ot?-&_t8KUvU{u0j7{I3&Vu+_n56iusm?vbo2f-$-<0
zpof9ng8en?Xpg4~<0zd!_lKQFfG3>4z2G?Wy}^ZAwS<YBPsiPHxjXUrvyzT}>z*j)
z#@%)IXl3`UjYhrXYIXlMt!+ybESb?^u1moe_ig;#6L=JliYIGd_xy%no=2fSyEV*`
zKY~@ZYtNoCJQIE=HCgw9<<yZ3tBfvaOb@HQ(_<{!3E47SjurGg`3`h{p=qiG;cm5C
zP;`%Y1K*J=9f$1y-`5n$6-7E4$$CFul=fU5YHW;*!Nd0$nEfdn^(IpXQ8a&aCdWz3
z;j-Ed0ub|dbkC`DS{|*qcdbHs*Mt*vM7&e)9liMd>a5w<gW^YggW{z>f+s)OaCfhn
zb2qxYj);>q4JR>UPBuKDn^Rc|;U91{Z>gOUWQ-wn1bu~iO@O2QKVDz6YXW;_Xy=Bc
z$AQ8iB4k{1O^Co3P9ug+{zLM@&$$_5Vv)zhfNQB#{u+yQPS^&z^5^0?Xj^WNMWZV^
zTji_Xi-)8B#J}ucimb|>q{#ih_0{{gR+vrxaX)iPerZ-pXlUe+FI@{nKcsX(<P-}s
z*6~f0=%VM8E9OWAneF<tQL=W+>)IkJT94mGc+*AH7B>GR$}~2ntpVTgr3?G#qiHAd
z5##xH|6fJcbyff)bV_=QW>|d?j)u>W$d<-{woKs&rl+TOoV-=>Cz@|Vs0yYv--TC=
zDm2#vF<|J8J>X5`FeN{huG*F&IX^`G>oA(w(xg?d#A}z#wcUw*Ny)O~mNv8kV19p+
znI{;}R(@TLW^s-#9M*u>7_TjXb`XQXzr(CHe<Pb%?cRIRwGs)=HgQIOC~EAC8XBNi
zCpE#R5aTY!p{sW1F%A_yX?VINn(m%KwrzRx0`xjcpmwm`bgG^40D#>153lOd8NzZ1
z{ks#FN2y=GHkD(~>hfQ`ox8Ri(+qjA>kDI0c-}&;)8quF=i`g((+;W7wAZD(!Hj@q
zpc5ijAuw9R1t?)rKls4&@1Hsaj4ha~a|rH}k~{82{D=%(W=;EA^Kx=0DvyzOnMei@
zAf{_pOZ^ofD1#pRwZ%M!>p<ax1IYjrboH5Ie`ptsex$!SK+gr>y2jWW5K3A}a{Uv{
zvKwlP5qQ@MMa5^DZHVZ{c|+Hpe#dT<I=e@^w%ClqPM~xUd}RCyC~K=f@A40o>*b<|
zK-&9=LpNFL-ep@Z9p~JA_oT@wZ=sIP?yIi^DON{9+Bfd9&{lJ50>Enf!bbSc8+;01
z@ipM$)Vwj-Ksua%bl)mR|057y9=g{&dZo0Haz2jiEP>`Uki@v>5fD#asmCN<7s&JF
z^aI0W#4B2YS<#N4zCZ@cP`*r|%7=E^GG@8JRPyKFD1j1d*PmIle}wq>`m1d;9nJi$
zt*L$t>AxjzGQ1V@CH=43vl}~<%kSzlV`p5D5~?t)cG{YEoJGzkVPqV9%ur~wS*{u~
z76=&T=Vm4WJ7;5nAkPJpP-VuM$E<rXkTRW%W%5qSIsmf{WvyfW{{GpNaCf>&pB)dM
zY)d?_c?BmWTnfac*OkI5kyU7@(#{(uu5E*u>y<@{VL`sgd6|b#lg7XoPb!T^QMfsv
zoPPOHWMt&mZvip)rISPjAz7WuNzqOJZ0fCmYc5P*CEc;coyRo!Xw;9bzUGFipykPE
zv1J-{xxH#|)RE?n?jAT-A<rVXaf1V$`nBT*4t=|vm6Cp(2#b=Y2Z@jqE)oHlXjuAI
zsbHFXVL7beew2D`SBSm)vf7OxGJVZiY5H?&G!M+(Cla$BzG0urPOQHLT9=lgFLc69
zvEXdZ$%C?PG@*MC_fgL`@p4qpYr@qTM~SS!ePgW|0dPsk2Q{zH9|bMl7tH1oPK+I!
zeK*;YXNVH;;d|$H`xy+HI!SLkhOWM6Sg4v$`Ry51KO%X!aU(@!hvunIYMIK6=5Lyf
zER(>=b%Mgq8q_55gnp=y3AW#^!4mwLvn@U4%4F_`&h1k_!`}5KR%xX_>;mk<s15?S
zAmKy2`mLe|&#ho&*vO$3^BF3|$FPfPKmmoM3fEF-pU@F|qc}sP{^_5Uv}i>X6chqx
zWFzQxv`Zw+`KJkEySX~tytk{gK&dIO<?!>JLdnLadqc$Y!rntz`V({_|MzuVzwico
z9izQZ<*<hc^fSa>QLBzLzhLmEo01vk$DHhIQEu*yidZSlXqMIkr|lo^f<vZwRl&NI
zFmoDlXEtEC9PQ;ygs=V6K%5)WCC?8fP#7H<*<m5$ch1mR)0H-jaV{6G8qW&IV*P>`
z2akoy!+u(s{bc_?UT0mCsw-hkYdQ4m8sUW<e<<_kI7`^el5Ms2w&0-nOuhI>Prwa$
z@E!U=>&F7~iqk1q-(P|#=w@Fp7W!|m{}f7U()_(~P!LUS{}IM6Td?bMCXEN$WbqWl
zV*j%296{Op5?%_Vks(_0PjfzxAOBeK0v%RwGdm@G8z(2O4h)|U5ZZtKGF%6N^3S3!
z2%hBT_cnEX>vlW?=;87f!vivKKsABr^DSKI$r4R~>4g_w<n~uAAzwI`g(RU*<ZXK`
zJ!E_P$QI%ok2rFE6Qj5D(sNTkW|`HzrJH`MX>|)89cSqEBg7rGkgLmyRuUhNTtV;F
zqg^K-2`3h(t%GQ9`s|C6)ZLYanO2<T^IMsiri+}(+iUHJpL9#o$?lDIN-bHWq1Nud
zmvTNd)Qsk9)h?A^9Ele)*YS0c$mWhp1c5<vo9c#apa;KKb^!g4>p7-PFQ7&v=!*9z
zXDS`%XHpXscU)LLZoNE##MARF(`YcyuNRkn1+IG;kl|MrmWU|OpHux%1#8E5+hw8`
z#i?BT_HNp$g`~H$Hu{P!60==fk`{=YR*wxTUf(ygX_R(41=@dsk<r^d+h>1w*VN2s
zeJt6~6{3E$J3Y&>3(Toh2|p1cBLW2A>EZFjZcjg}<FAkIZ&7s(SU9#rvv}!{3^C&?
zm&nIv?`566yV?FPT46K+$(ZIH#2uY#o2xN`?4BP@oQ?0#Yj_GW6mJeWUSp0=<>B)b
z1ffmUL$dkrH!g(0P^E+3G_e%dSGj9(yCu2r6pm`X-YOpN`PzUx^!K{TG;Q3UCAR?f
zxjg7sr5hX=*KNIhfR++|deDkN_(?jnHb^9+(u>5%8XpM<Q0VBGeC5cK+AOch2zH)}
z{?%ugsCG~CPx9VO=3*Sbq)^j4Oz@iL&!0PN&R&OUO9&!%vVhnsXmGr>lwj^acDZrt
z9(vD?+U*a>sxNvS(dhUu?`%Za84tg@yNdrqk>~n#<>2+_-nj>ZsBiA|0bC*?f2u{O
zr%iZ@nOI}N*&#NVH)5cQltTh4YvXP_D`|7~OQu-8emc{*7<F~;Rkac)|6!bcpK*76
z-o2)KloZ{2qiTEeUXHHU8LdK0gA$01)<1!vb`j+|I%Q!ACLUuJk<e`-%1ZR-0yVV=
z{gF;fD>zLz&X_$eab28X*MBD<psB6mezk$mBupjIFJjIqLyM|1bk-VbMH#XN1#JRS
z*q%J<LE`hmn?nwTOv$q}_lwrkJ^7jUv}=6EPA1Zd-R#wEm6sg>AL`{xULCs_<15ZQ
z{M+?qV2*}Aa=6aSo#+Sxl7QvblzoP$=;@FXvW$xfcPm!#7!WcL+(E<!Kj=~y05=9Y
zT|x0m_Fi}XWl0Mlwur9jixIxQzLP^u_5EX!Fm5D<Eo#xHJbBnlun@26pLYcM6bpx<
z+*7zX3zCZHV9*ZKo)<&tO#rdUg}_z1QC9-s_b(3vZ`K+?N_*dbdz`|@)|V%PMa7dU
z-b8LFfBLD%Yn?lAKxkjOyQUbne~Y5t&g|o|qNr?92nLEXa5|ztj`#BlO8e(T=FeQ}
zIa<Mlq3GwKded@ANjqjTJYC-9x3=ta{s3WF^IG79%0`Qrw~AK_->_f&J6jWdnqJ&<
zmjvHGgJeYrW?ik>Cf_cvhY!C=@tAFP0qdjreIaR3-Ij>pXdNA$!=NAhF}Oc?l<7A7
zLIW2I5wk4af#cu`ZkYiy{7?H?p0DT)yU<Q;5O>0IcLU+77wWtgb<&j3wpUp^dZ;je
zu5KS!#I>yq-_iAO!c*yB%}tC%llBjC3<^|=OEgZDp>92Tmy*0dwdbX@^T8{Uzp`>C
z=jOPXs>Z)}Ni&4kGzM(@^8QYsTD31&en=l!xpHOE_HL{snOR6UW^NN$Q|G|~zxFo&
z7Ikz(-DBazB@Dze))*m_v2wd?movvk22CK|GB*wJF|Ax5Z}_)`t&3N>Sl-^bD{}E>
zQQ5Y6|D>7NCZ7nQ^lQR-7A$*Hz`%0&az0{9(wN;AL|Y^^xxizfdAf1+1uvEzz^mWn
zE=)IR^-_r_A5nCEG1CxF+Ob_=WuIDt>(Gk;R=z^AQrF6G1s^5b&&n(|`6__fBdzwX
zW{<)hT(ycr>I&`^sc|ZrJ&F(}OiTo^?9L`=fk*~$^m0gIr&v93l*ocHd2$X2_Zvbr
zq5WlttX5cNvEjKY6#I`q{U*)!YA#s~3XP?FAOBRMe#Upi*EJ$!%LmT!;-u~(!S(U8
zlxAYW6bn%i4yP+N*4r^1Q>_;jgkGK(?i0V2(Y)UKo#Q-Cr<z->J7+tBt!rL64fCX{
zg4wiS|B83V`MWuTvgriKtN_+%yGPc^Tc)<_im-n(67mq%%@L;%E}|-6kV{>4GB+>p
z(G)>(IJz-q^n1=j`D>?g7O%texxWyp7dg620L<_6`&6X%%cp<#MwRE=ONzR`x$#%p
z`Ht)?5E$8ijN{;%#8A7$=Z0&J?BR<`knZf)E7T}_@$?WLI?mxTTkI1GUoi=-a@(hR
zx+pyFPjs5ceQH%Dj1MY6q3mdpFeziu9~4NyLQ=rcWj3~M2%vIkb5`Jyv!6EAUQS8(
z^8;0hxQGNWz7d99tiDPS%Qc$KTa4l9jV-vzGhfwWrge1q9BzmHD^&g3;st+ZZ}%M-
zzOrg!p{m)5L;upC-&Or2xficoZdwAWMMgs3&$M`an`cu#9k>Yi!r`9+^lV${Xg160
zKbylQtP6fATBYx6g$uFVJg7R9n63oJk~i7<?n?xUs;`JbW70R)y|g$}FlNyPWMjib
z7-)jgC9`!?m(CkM;bT3ON8mIo<^CLFY;$9=RdW!Bl};0DjU^TxPT(OsEZ(PEwI4Eq
zlh9QbRf%8rT1M5{SFd`r(9ay4I>aZZYnc|`=DKrz2)IgRvBxfwHs&lH*84<6vo2{h
z=n2i5pvo<8wE`*?_MF!EQZQaQzDmfh;t7w36IHeY^}hBZTO4&A58r+sF)^{$p~OGI
zPuG%R)Jql;k$@Ge)|8=<dIYsCPKjA*=^$he>=IF_=DL~b!FN50u5VX}?pD@kv5M(b
zcJh(VErn<Ag{&bd#kApk+IUviy|`E(W}S1rl>WxM>&&WO^9fmu&nd{M6&Gvxk0OAL
zdx$8tGDZg7r&koR2upPN96c8$aSXl5b-Q_-RJLxX)bfxprPaHYS``6=Q_i|qnR@e8
zi^h$|T`I-2ke8d-<%r#coujf^6Pz>CXXnwP=pes(fB9JX?#MDQy{}7LLY@W`3<W0S
zxpu4Nj9s2zs0%9sqEEXwk2`yK1(baMBG$9-)+cbsBCH1+oe9T;*sEcS8Gu)M`!OdN
z9{EE*Bx7QN#)fjMtF!YZ{ZJ!cQ4_kT_y_H}K;Z@smZKkO?l(q9vIlAw&46iU&k2yb
z<bf@`CboHT`AYVvRjbqE?-~+rmJM4IDL{C}x??d}S=kVt*fsCkTb00I#9kSuuaT>}
zrJHH>qNu1y<dq?%u=9V_D2mtA`g3mK(|}_yQ>r_i26Z3WhP_q18ChWdj-6r^1cTUz
zNSmicp`VuP`NEOr_`{ENyOYn<L5G%g+h+$hdCGNk`M^~QSgHP`iJiK}CMv8=2i6Ua
zsTK>MdEmuHmjMXbOK%+l>?4-!z;Yw&7Nm(CY7&jh78aoZm@Y2NWYS#LEWBt$$D3H3
zkG(+MP?56%2E5J91nz5>gZsrUVk&3yZo&Ie{l4dl5|)}u$N%v-NgZIp!+N;pCWbh&
zkb}W0%Z;;;D~T1J)DJxP0ykwG1li3DD+^<P(s{}xJlofYwGqIR+Wwou4>I5>aw_8(
zVoUYkeI=ct9D0!Ap9u`>uc1HQ1#(bOQ^uB~><g$SbN27O+J5#Q<y_|P!35%KDRt<*
zv=J_la+&_WssbqBNki7#n5iR&sunL@xo;bpr9Q2%pj~Yf7B9U5yU|_11WM*auq;J(
zc~w8lM#`8YmSN@(8YE!RLhDMMz0>dTa!xdvu#(>xr&rEhy~BkMR#(rg{{eG)7x*1=
zqp#7(9cfa3QS5nj1Z!cLAB*wwp-L&v>KE&NP!AG<dj-_|{P<cNj2tyIf{5ks(lI1x
zrGItv!)F;7v%poyY%sHUKo_BYhYbSI8`=f^;ivSgkb_b{mdY0~;x2CdZ}i!w#dmIv
zPIG*m#$LbjE0P&IPsvs3<e2<??oG}NjBbXf-_Di~?yP(CfL@@{S+!L=^BgAlfXTl=
zqzJ{0Bqb?`+Vuy)UZ>?!>N?GaKJZTh@qn^4`I7vCHaqn2C3ECv`dMq-Da@qr(mYWL
zxN}Q$33d>3dumTETwOQY@aE#lyWZaxz^ou-LmmFN4Op75{&!Ksr?Db6f8rj`alWe`
zdfrpBbRg;2YN?ziAFGjBjONEAW(cog-^$MX{GR0Pu`yV4+QWLrhvq&(p(N&hbB~Q)
z$YQ0`$CW$@@9QxG)YApnDI;5)i%S~4$W(2I15+YH9AD!M(1E7?UuI!b@41iI55-_<
zrIj(#l%dSL=Q#NGcN>q{{`PbEi|xTHi8vg2<G5mZHAPszK{#wQagdKk!I=yp6g_^9
zqPtNHJm=ujXX=oV*fDY~&&u8!)<pq@KXXh6`ksMpQsY&J9NDjzw9Tx^RCuW}JfU=E
z1y3_hCIS$o&xREs>Z<DG<jhR{uTN&pP(wPXp`j}WW%eI<D8Xs<LfU%aOF!P5pAWUa
z3bKT)n~k)k>%vs%*J-43JfTi^&=1M%pUQ@QwXw%oqs*Hn<qI75419_GsWY28qk~q;
z44TM4wX=zQ9G3vM2{3mMa%7kKKm@N+IJICTX?Ek|=zcx|aD@mO4hPtr#^U4P0QwC4
zp)Kq0<^G<d8F(a^T~N%_@_*`HL03sW)q~T93gl)K`mEHc>5KBat5dW6SP>C%4If%&
z(aJiwfZRcd{LC2#c8Q2+Gv88?V*7!d33<>Fcp#WLh{<TAHJFqeplknvAspR@uQ!ZV
z$JkYHeMSwcDE3}QZ#42fzRFm#6xz2B56nIcqh@wEC-<L>u%s4e!JEx#aF)sJ232>P
zSCHnL3sT0#!gbgF!86&&ns2Ra@GR#n96p=!h5|$nmECvy9Ppz_T|upPJ>O{6ec*I`
zZVZ8UhW7S>OisjZL_6v~T_;+LWj>#Q!6mx(6>i)KH@MC=Z*DBu=YZFKs`s(5nVu4j
zE7i&y)G`T{c<=LNB&jlcThsTIr%CS$_<ZxZF=TAWp`m|mA&EW^wxqHijym&$NKHuD
z*$a~XTUK$0TC?-S?r>pO9ez`cWn2CccDT{7<VljPVRaLHDxP(<kt$sILFc~>kLH(9
z*%aBb5Q#_r_qH=_=XdTM@wYpB@6kKoBK2ZvVEHj<L`pWaVE{M9++z)iu(2~`_>b!Z
zep?`Fmc&#lU#<3|53j-bI%3(nA0`NLDpCf*9%CR$zyH3I`(SNmLbkvY2GpxS!b(L^
z-~oG|Hukt8rueB&#pGwCoZ3u`j()qtM)u6;4q>TCkOj~n1PDB#mvi$gPNNfMrC%<S
zM~TA9^C;fK=ep_{xh@4k!`Gs`2iL3$ylg2c7;kz1Gxa@VQCoeJ-dXaKgS?h;?}U!N
z$rkXl>*{yrK07@cJiqyXT@KNJcwJJC{M`%3P)$Ng!uHA^Sm};uCxov3*iSrW>pb_t
zxuu$3am@zSuy(F|PewL2e$q&?O1kKg9p>0{Pct3<6)R?J83Qm<OWY{nTT87x^gIsd
zOiix6jSj%+msWlaQk*!>g9!N>Gz4zqI|{p7xhq$w_|F-bc0@HjT)0hN;f#gTW@Y8H
z;z#6AJu9}!$&kqVXV}kx>ICxd=Pm(FpDO>xESvbh7`e|hPS4DQ0_WPX-b|TDFaoe;
zt00VzcZN{YIV*Zx6QwjuNqZIiJlPCwgR#c&g)d<T-&(dw;QVrZC9#a#9c2`HQ8ET?
zEH6-Bf=Y@4v%mYe7?_YP$D4hsHj)q_aFJEs^OqN2i~P#G(K)Foo)48Wk*;L9F6D>A
z@!mCG@)4b+`T|dUSOlGwr>AG??6&k2jDDNG>+M}jXhzA*WP@aKX~ry|qU~txEm{HU
zsmgzZ;xDi76Lt*M%im!!GtK>SDVXd@0jdOtFite&IrBWHt3oMGCm@Jn#Q~{Ds}v9m
z>JgD-uOgFIE4D+}B2L;Ew_rDM4epeWE8Uudz9adJ{tUF#_ZD3z$WrdLzHss}SU=1{
zz^8wt>n9tvGZG>3&g(TEDK~mQy_F4|u=N`5c@*P*Z54oc(e;w>cUP^tY;_+vh#Vvl
zlTHuOE8G}fL3yz0Une2ARSD%x`q!9(xPJaM8Le5c7HnRmZ{vR-o}J*m^cePl?r-M^
zDul;-!DMQ}Uq?K#f)IWtn$5XAwD_m{jyrq&#iXbq7_>{)J&`m>XypT8e6#($$Q#&{
zv7M?xwHq59z1?vTXytb)PRoLY_aqimL3REG-7Ip->H|PkF<!vG0m2fa9F=aV_&G-k
z6JJvK#JY9sRBJ^)l0;AD+a=6fqp3E$nkolwvNNSJ|1Mc{g!_9JEHdS%M~GRDh&M*X
z8k-*iSz9hG(Io!-K411OS#v6q7kl)RF#0^oZJuP*1S*VviWK#lI8<waU{<nREr4N)
z5XfO;V+ZE}m9bs~P*u|S*vqS?n6*wZZ@1;ox82oKiw$=;&Hl={3*^lY=cv8AqI$!$
zKTXQng{*K0R{G3W)7S~B5oKF;Ov2Tj_mio(*<y#YfFi-JE9c4}j3lP`4+7J%8~cQw
zm&ZmK-<DhL76v0J&@_`SgxKOOf3RUh!kN2vnD#KS!pIAz-PLt5$Tm^6a2Snvt%En=
zqtf1l^rgCt^PhF=syok-9l}bQ+b!z!jP2O~qIEJXB39GTlw(R5WO>+L$;l~)ay>aV
zkA1c&dJlpTnV|1}yjvkGs$Pe)8+QNl1RX_%ud5FXJV_&-heXP8aJ>5tI^ez*e*FGj
zy-M&EEbhs68s<$Me)nFMtk7`ncT$O{LgdXOW*W*r|5=f_Z5`FCzW(;jEk*r5GhY;K
z0_8QE*y1fhEt|By5pOGsl}n#<u8DOhpODGV6*{*LH^{K_A!xX{Wm&3{>oj~yQWDG`
zhkymNfW(&5=rg)KyBD5>e8oKaXdk=_gy1ZpA7uh8tYrEm|0R`z5gg|GAmuvnW4R$I
z#k}*9a5~;%LAsE(tDzGs#<#H2Mh@-OyG+gCaP<n^9&JDCzSWr4y@>fAqrQF9?;B{g
zY5vN^Z1bBY5*O-rOazA)tTY@hEV(hb8VWvXO!w-l2v<^Qg!!I?@&PHv0X6#DK=J2l
zOH1HZhP9q8!$m8rHv*qyr0eUrE@-Y6hhZ+_H+JT2JDNW_6=X$X*cgamigEGRb!%6&
zE7e}U%N-%%tV<Y)_iQw8h*fNZ+2aCcCE}$#r<<4LyUGGVhS@iV5?AdTJk1sl;ZzwM
zz5X=Zj!e1=PX__kMpUHIkB<Z8op-AiZ^W;~wI8xd$CCH1w4YwqUuV;szWw8kxh>Xz
zK09;MP8KBjeqQiU9oLQcDB$ceC{TNi1c2rJ_@ptKMaP2X>^;mup4%~641<0l#(E1p
zGI#<n-0uA#>XlSbKwTjHHI5}LnSTqb^y?ZLkpS^lhXMY)<h}XnnlhrO-XVxA?6Z#q
zKVEUN@d!veAb$ld{q2=peE`>27zcN!{!u02(34*$RBUM3r0N_1IsH$I(lOq9h0^X5
zZv11}I*F2?0%+oG)GfsX^~pZ(+`#jHXNccZ<$IgGM^=#I=|sn$+xDNsZZgIwcITFC
z(1#g<knQXWSfiK(R5EIONPs_X-@327Y&dz8wFv_)x2cXR1csk7a4Yc{F2xm377f7c
z{reRH*-}_v;>vxc#rOA~>aPOfR_KE{)%^)x5$DOj4R_d6N4%ZATP_clI@;Tp;~7Oc
z<XhuH7P5tTE2V2<$AV-dl4QnMw-@nf78S!=m5x@!o%obnOdT}iOvzRvKDR{3OEg7q
z!C)uF%mh{;WGS!^59)Tx`=ru@(xhHdGfpcfAX3Bw=pYM2^v4#>1}+N6RR~zQh*5+~
ziq^=_)Y7!tsafn7`aW(>764CM?2QpRumB|7nPkL&yhkMY?9P+^=eHK9L?%c{N!7qy
zKIdJ0qw3Hm2J%u~ZckihVAYPS;5p3%%>w|n1YM5V-cLWAG8SWe7AIC;3ypXvw%hW1
z+@sVJV}vLPPs+ijj4GLV86Cd0XJ|SBgiA3;YIfd#-}CWFepVovQ`&!_7WB2ZZj|_Q
z0_!+ljHZErl?G<-nMH&+=%FOoQ6JKoiCVS0<xdT_G+n`++U_Nuad6liPSoYYFI8Sh
zADKVkJOIX5Sk&U{#Cm!CG;z#e8}6xg#+c>l<20JIyNLOm&FuB#JAAJ|!@c0lrb|;o
z6}~~-yx!tOr&tO0=SoHFAR@^~c@fe_lY@|)aOHs0*nS9tqi66x`^=b2i}|fWFVszE
zr+v2wU276GUMTvzZ@l=au{D>-DT(V^x;3{0c95P)<e1>bjoW`l`<N*8@~baNTzeI{
z?wL|W-;NjLC_`U;NVQ5cFbI^%gx!2evi)(GNp+an*8!bEVp`F$gl@FNA;9_uR%-Jy
zAE&O{pLoJ6`-!dy>2M2=r|(I_2&CK`*-%{E&&mTlXPjsy6%@W~sq$s}ysfRnG+m#6
z9A{+$W`qOP1>{BWYg{Sqly}_3DE_nB!N{!WOI~~(Z=uga?YltF$N)3^%G((p?(XHl
z#qB6%01vm+-2{{)Ao0>7agRe?qNd%LrKVGfD*FH3D3RY!n=3GiaC5At43=X4C6kI^
z?&w|Hp+-$+2MuFwzUy){U2*cEl@=>D?>)UBfnQi}d^hn#6IKXY7DP3Z^+fIAn>Tqm
zv)ssOuM}e<Ni8QE2~u&{5(C2C92CCQg&8!MtnWtH@DXr!O}Y7HN^u^_ITxt6xVndH
zjQIbeZ|r_u>}Xn1{_M<#U+-KiKj*<jCR69?*rZiT^kT9c%|FzEm3W(L>emk{e!ZpE
zi3a?*AE5OnI7RuO)PKgJY(EyQj{CRrBsWa_Qn1eO^J^H0gj_7e(yGd87?W=Q4qU+n
zIqduhYbtyCF5N$>*PgIm1aAOu?@l&{vbo)qH|&W&@MA!AR=c~lIj6?_%`nv&6FR=a
z;_A0uq!VnWdvpL>bNrcCG-I!&-v8&S-pAjZ3k%<b`y_1Q^>Ub>$2edA7IkL>{Xx-n
zhKwJcN;qe;!v3+}1%y8$a<j<g@OXL{WRejXVCU5?<adR=q^s}#`fSGYywivK$}gqq
z0kU%u8Ir+j^Q__xYdoFvO@1ab{Y{ki#z!}~dmMkK`9Zmx-+vqO1Tfjd-a++eyn+)R
z3)vJ$45XbcE`R^rU^_$o_;U;RQK1g`W@ppm8|_vzDvdW@OWD4D?RIg8cN=t9P#Qw%
zzJ(!*;ALdp?GTnv{Vh2e0^{u)NY_nN59CF!lF`hJ23|$xcDAmhl7ZUG=?>ulz8{wZ
z%X!_qm-<YMiMN-Vn#G)2%G}usryT*_1UFw&bF0R%rs=Digfiy$!S7&0c_aIDQGMan
z@VTbC&f3np35C`7xAJL}^&Gs>Wsc(5p-@{udu=|^%K;}?%%$PY%j~WNgA-~oQ`5D^
z1A-x*l9`P=Lk6?<j3kS2_*XyPE9V)n-pPjd|0oMrJ~)H=9JQ)1HXZ22o=PpnKwK1%
zmW#M?)vYvP_R228Wush(c$#wnei{0XQu^m^0ZFqQV4){RDV*_qL)TIU3oCX$B0mTe
z;hMf^%GS?Mm0ERkl`UBQ8EbG}eEcr*ts)d!AsDu|{ntpZmN+jX6h9H->ngFo`T>&)
zYp#>Bm_my{=P|92xAuRxEc^u#QwBYo?JtjqYY+7vCf-iy?z5a`-x83AdFoLTc6I^#
z&IxSC7U%gDqtAedV*ojhgF+_*t=GSMi^6Qoyz;iT?{fc+S7e{ims6t|1%@p66BGA-
zgIw*%L#$%9zf)yL%-GSxBziaIqhYE+>}5Gr+g`(@@?IEmW6*px{Qiy`gP`walk4+d
z<JYTS8F}$pyaUgaZL^WtMGF9QwkIy?VWBY&plQH{&Qbj$Cz*m#63gWU^Gx<%I7!2i
zKlS6h^~|t7_Yi0(5g=V0P;gcnYD||$=G^?*;y*hjoc6%#2c7ir?Ud>qF2*%#1uo9c
zp8~O+<wA>FLoTPVj(RYkvtl|&5mLZ8=h_kB__KC&@!aK{&Co~sO-gu}>U`V9eReG4
z-nm_q7lVARo>O(oYcc-kLmd*zmC1MlZmO_Wrn<iRy7lXW(O1U*`ODAa9HE3(vK#%T
zuX9P!1{%*tD%;3cYPA#Ut?#`HghPvmQ*<y~@pUhmT%G>>@*r$JkI8kEVJ|;I>7!7>
zWr9~eF;$IxDs<t4f#}Vl{8Sf#w)LS(-*1-HzpkjDkG1~a6OgOBH|5W~!vKxJ#+ODu
ztc~seX|-qfb$3DBw0Yq#E=3-YqwR|X0DK2cadl+peH9Y*82Qj)&mp2CATEMfK=A|a
z7k<wU=%0+y70}GZ(EnX-v|nMfQ3lgNJC!K9F?H`oNI3nY1@G}?Cs{C=-N_S^R4aDV
zJR#G3`a7=PEk^`y$CKgayc|WH+pCK!Sc1v~;;6-`d@;sgZ=7kInVt?oQ7GN9l`4Il
zP*y;}HwvKRP?Z`4a9H<YWLiQ}eZ}y_ix-XfI7~33m#kExP?mZFl_mUfB#3K?jDs8|
zWY@1jf+s{ZmT#FZ8nw3wDY$XAe@3kU8qyv%j;qJTpZmkdP{x5>@Jaemxc{fjzM}Q^
z=B+!QFsSIv+zSdtJ`NitDfwh`uKjlzl3H0^Ppk3me)i6l_0cQuX`XmvYH)t=?%Nw9
z>en8?hJ+i(ORZEIh)>Ltk_B5EZOA|E7Tr^u@RV*n%V9rkxd#|z&H@y8Fr0x%m+{D@
zzh@)42|dc+mi#OwT;aLTRa1itcC#0{rF0yNnm>-bDZ65CTy0=KFl$5_>8)gKLD6%g
zn|)UO`sqK~+e~80F!wQX-wPQIC1&G>d0d_n=gI<i`%YrsB2V7#TVd97lUJV{w|`6U
zM&{Lz_aRGOY>x>VVPYU=JiiHXB!u`+>|@Sb=It^t(7Q|GYFK6YPvl#7dpY4o&S?>t
zM5zXux$)X=gCip;q~mcrc4#|8bh4V$n4JApHQx9zXpFd#ckYeJaQjt5{bOs<gn)Tg
zvI9SLxjEZTo>hv*pSq|~7M*uj`pESL4&oJm>de!uo0_k6g;z>b3h$t0-Jg;-{nQEW
zO%C~P*$D?TvD*C?Nhs{Ica-4Pq%*Ouh+>#>OlaFEv%&7U<U84QP|gOhA9*fhec%@C
zzr`;P1(fS2%JkS?^_jd=R35Z95Gdxg;~HU^>o6)+4<${pt#-+I{P5x0S@2pS*RJwh
zNYhPu>6HhNQ;UvSAUt}WXfG*mlA*FAl6bZ?S)f~buq7g9Ko;H&0zeB=vFEyn!+CQ#
zcd9b^X}Gt<%6IO1*`yh?IOV-<WFTj1x9M-MRhxHiH_sI$|G)g)URT~HZAo!k%K|EY
z|6+xwVs6^;tG#rISCBBH2J60q1QHd(id7U!vD_xj8~cR)V=>$tJ$-tZgn_^Ou!sDj
zj>~&Bs1`VkgFz3FM}f7|E&~%p<U0PJo7CBqr}S%8&%EEm&Cl1xqz<1QQ^<fzR!U>r
zOq^68ee}P5uMC>y&NrCf>LUBkO-1VQ>2-r9F3iLb&9vTk`=JMSjVSFGka&E%BOi>q
z3f!98{N&#jS@?TL)tqlz<mI6&{WGcsp|Mwv`LXu5sTRzg?p_F$V>#yMk=z_;0YEz4
zv7FuGf%Bi)Sy@aSop}Zq1#yl9<3%OA`c#PvhS+>Myj#P2^Tb0_fmXb^-RS6uA34MF
zz(5h;fT^K_L>q}t`Tg=GaoHi75i*hx^HuEVtZ46J`-(s9F~^_VpTP#4_a$Of3<cBT
zM+<gl^0izZ4r-rQ$Rypap45l^eI_m!)+dAszN~g}Id*&5sU&oS*G1?IB&spsW2)sl
z*&mc;jL?O(6k-44k=|lC_S#osPDW7afH@o+vcHASE&Br-Clr^bGVe($?m@pB1YWj0
zGNGnUO+fH8@s?cD&38*R`jE=TgEw|jQC{{L-)vEr@B`4Tbk=icoI4={WVf@0*ip!1
zo{w2wm(njON^)P&={%g7^ASG|Vy+m+DSo{*6cH`du_@st1f)%!Ga!QjMM)6;x?ctj
zzM9{at{r*d!an7=V!Af{lGJRjrq0-bAaR?12daU$)vxJQhuAo(v7{l3Keaf8?Z#(E
zU<^kn$61JZ!S^5u{Ly~!a>d_cQ}MbU6JW*+xGk?E+^!|4zI?D>FH;3;o$hZgnqNKK
z+$d)JaEScRC)_R2G2yzvlO5Wh{_s?;3LTLJ)vvoSHs`;67rV~inlc}Yx){|2)-xOX
zUhJERY3VY5yYS^T4`YED@JdV-Dhf?dsSBK8WSTaK^3;v`25s6b7UMq50onEwak=Ox
z96Ee-SuxU63J>mwG0Yo30A&zu`;n0krrdjABNvG3E3cukm1Lz+{Qk+QYzZ+)yH%cN
zb*Sw%?NL4fLbFjv2S82P2VA;YX8vkTj6ay`B;K*3C3#M<@7oQedAYdSJr@S@LmJXB
zD3n(@>z`%ZzltLAJU%`iI^AB+`I*6=pDLCwW>==X%Gwp22Zn;>>`jqa08%UO-mZ>_
z1ARiy@!@OpEn|SohK7c|!?}Vjz@@=awD^c@AxOP8`y1b=sHn598DBEgYYR3qZe8x>
zt@Med^9ny81IyyBS8a%ShWUmwsdk%p?i_yOvZ7G)f6yxZp1>wUrkRAj!Q-Zf8<j^F
zJZj8)lxC+286n)jpEnx~EtT{3#GhBRIsG=MX(LzcOn8gXwSlZtw1!momEix>)63T0
z-5dyA<zC{+kB7H3N8ddd{}^|x5%2U?K>1L^1VGYf2>pc5^m3BfjgSiryDTm|oJ(GQ
zdLiMSwEuwpA`up`N^9Fq{#M-%pG(`3RuZSc57uoc8OSHjr(fWLKvXS3Z5IiMBOMOG
zC9)i61kP>+hb_-lsU@hsXE@~B!z<iF1=Ug1Nr&V&VbLo~fhX?6-z4C~UAos(OPI1A
z9#Wa#WJt*ohCQ%Yt}#q1N~ROgvyMY8+~2vDA|ncywA<Ii6&Lg$1(TcMmSi<W(#G2N
zJd*DXVqcXgqicC6wk+9$YFCkCvb3v5U4(w)#*J4=v|aDT&zLf&8Xuv_+%d4KJU%%%
zA+?~Pw#sZLE)>t9H~^Wm$T#7E9fO^Aq}k(ggmp|F|BNyUDgnjn^#9H!E}{s1(vnoM
zkMS#0n)5bB?veeH9Lp9bp8FR`ohck6&B%-a->#87ZMB_|Pc03r;fiJWTAcUfIaa?n
zWkt*jkUxZj@_rItD@8HKZVi`VBTRx6$JRV0Di*>ELsP-{eev&vvbcRW8nTjk(k!Uu
zG~D4x{R9g61MOjwiAN~aV(mm;PVmi-Y@=bQ2(m!mx*r{F{nqQ>^xpjYub}>1b(%^j
zHsx?I0e?|u)><TC8)SqA;!;kW&*_==`=Nq9=0gj6Y{z37`2re8Y?Mo6=2z|58tgLV
z?X|bxF?`PD7Jx|Zq4__5WN^8$Csqus!1mX&zBo1fPUFUO$#t8MTY_9YPfQC94U2~@
zTlFLsCe=GXOi<k7y#-(OA*Pd6jNEd8V$FNfYuDa+DSrNNlERR#qR^kP?a%UdFzvmA
z_k8-04?pZ=d=o(?J41i}0SF@3gkW@g^apJ~FRG++bML^wKA@*P-^hJ&+cAa}@Wl9;
zM=ZOr6~$7YR3?}d!ffsMz%@!C-G7WRE6%IA$Gg(BOuHjWcKI+ZY4Vy&z&X5i_lr%c
z4;;y_y0Eduj4>#6XrGsF=ude!QgvXR55oy|p1CZ5Pl3d21ODK9c@vCY6RHmq1&WSc
zBxbV?Lb7;wir(QB?=Rm6Si$S)yVdxWCu-Jj7dqv!`UiNSttUvh&W#M6;Wo&y;OuY$
z;QH%(i?}bP6?b{m-2>}W3<b&bA{C7DJveOJA)0qMomkDMJ|sCvsG7WcGB$jaWoz)_
znpM)o*9X;{xc_cjzZNrC!Pjfs`dN#fP#09^O)K#5ngFIHAhz*xauRXwFGiw?Hao@b
zeh%ogFUQgwE-q_A+RgO%_aF{3Cg}6*q4F;~>v)pd0zbT%9_8TDHHgeO>*4>&zV?-l
zI>2ylr1O;YRFg6Sn+tL%Di2;03YoP7HNQrR6CW6a>hCyf^(Ugx?QIxPe;rTE>PTQ6
z_U!%3N8bPHjkhZOumh%BUfaa|0Qr5U(}%CTu?0(5pk>{m|L~A2dSdZkerqYdjhQ&&
zAmeM0CpZ*$JrswF!lVu2WT__)5l85_1b3dqZ3B2Fo;UP#ckhDLOS04G2ig*EMUt`x
zo#o4U`gQAwY8w^hDQRPfD+oM1tjD`#w-agAZXdy|r&60O&ClPyoe8z*33wcFfmBDF
z$I7tiR2w~dKPd-7ZX&z_Nh5yg5gwV$x518r<;N;!<TZS<-27bd#eh;1hp(qq;cxn*
z`zpl&wOm?uN=6khn&`r=5-7wXb>VFfzVjM%fdt3(89Ip=zFZ8pC0>3jD4Wl^pN)`o
zUG$vK%lle+n%q&h+MQdaPpnnb?bBPt_Rwy@wdDS?!(z3Bj$NTb*wKJEh_#8GqOq}L
z;<n$==$hi~CoGDDDe=^VEL-rSy8QlqTPngu(})<I$UP))7+eX^RsWvnc#F&x8yIOQ
ze>WbACl!%mr8?z(Idm2wF^gZWKAN`qKdDmqfoWCrz&f?@AwgySt-m?R>znemiU0ee
z#00g_LV6bG1h$CFYL4&FSWTJu!zQ>mhj_e`155lx@jFy4dDMe$7^eSs$UTF%aTy^G
zke3+bA2|SUQ&}Fnwiaz(yV>x9%%FM5yoLxFQ)59`twEX(+s<+P^`J%JU(pB~u}m<?
z%O>sK-n@OdM%lMky)^KGJ!!Ou{Z#99?Jq!#`K%>CHaGso8sg@MlO79wM9?u^HZd<C
zOwLbjiUv(8^scn)Stfrwt*7{nW6RGv(i_L^eUjXk6K2aPgO$-LT9W9M^yygU3N|l{
z6pRm#ubOLI6@C`k_LJ$4-(CIsS_hoOHdFKoo(8TfZ6Ge5DjN8}DoTEf3>$g8a7+YX
z86)<p3cd&WGcTYN6Fa<`!qHJIMSh4<XvbLb+<<8+dGC@=w&DB8EYnw!=TZ54U+Is_
zP6*Y+jeloOBmJ<94lKih?e7Si{2pKR_SYXf;{~eGg|<a|X<`A0gcYs7&Ust@>Y*lz
z+Y?(jvgpFb`r!LWB8MdcG(6ddEt<7Kvt@5GfLi|v_BzDl8}Z`;ya0`5nZG*_^Fb9l
zniO(v^J;CWnpBT$pkvCU(*-6J0CZfkap$~aCcds8??Gw){fzJKHn<8xxk0jA$7*6X
zqgSggeqJ|Vx%WOW5=Cd6n!0zZE{`;4abs`t_LX+3G?4#Gwvn0_dZq?EcWiu^Q^+MG
zq}CR$3Raf^>*o2(6t{_X=f;IEjV=afQjVFvT39hfC!f+d`^b4l<VMGRVtU_j>j9|4
zeG~Vgs+XL)rP9WxdBO9L+I*~+M8d#PCNewLE8z$=f7J%iyl+QaAFIdARd|0pSPTq;
z+w-TPDkQ1}Os?1l;<80?6Tc_z@TGBAucf%v(|d9!)`lyR5nrjQzvlArPGWPqqS-92
zvaIcK8CGRAU|Q#7_{NY^`8l&Nb~nZ!2Kd6KVH)KytT1?Ov&?o>4nhm<D@YoX6y8AX
zIl27KsnKfoUPN;+4lc=OL>=+)@Dy<_AeUJK3q3wi>@nNaoX*YN<G+z(s)OxcAc;A2
zuRhC@<}5F#^q#OUZT26uC6}p2lI#J2A2@|FZ`>F&8fV0ZXs`Y2l-mVut;t~a7NMcY
zv@`Q_6Ib3C{5=$>e|m3VlcZ|ZYqeOf=O>6PsB_C%42rxYTnzt}14CeEQwSIYPat`4
zn(K=vTY}Ew(ArZ^2+xRY7^!9ZmmiFAFf`yz-v8|B34~bMJ^_M{ac{~~#joKa=a_lg
z{o~Y?p8Z+~VA3zsQapng=Y4_^J4jx{Ve>`}7T6M?{|^PnQdi%~3K$?UzPgTZ29N6F
z{9z{<c{O`u`o|!zIy|}Kp+eXJDL9h*zdC|I)4M9+{$eSQ^?jrl*iBW}Qbabk#<zIP
z`9$PTJpDpXcjU*}s(z^P`~E4(zl8uX1=ks`1^u?x6`Yuj87wVFRxfM-qr|$=Xv&NP
zWRh;8S~BU{HrO$_gQmJ;APtNQWQ(Ny?p#^=%b6wNkyyd$4(b~{yM<P@tp{#WEwI-U
z2`4u}?|B-HJ4WBj!Tfo?iv=~7i#vZhR)5)65oWiWXng+mx_9_KlH%xwBf!ZjPc<n{
zl7@MWfo~63A4k5-$XqmAtiiL(o-=~OTui&Qv~+hd{3r0IUBpZw4zG?H^Z@#orRt2W
zYQu}+>f9&#9FqD_JhP%P=vt4Q+DlFbO8XjQuyuV3m9HrMD(4;Q@zc`^s?Wg1iF;iJ
znKlC2WD7LvO4`;BkL1fPzy8c3c`noHn1YyM6Q}o0eHq(SeoeP2&?W+LR(f6K<2l7R
z31<H2mZq9G#eE3pdIF2WQ-qzbrUzez6WA)6E@LDd=_JK!8FLD6CxU;JyaDO_5Gw|G
z#E8A%Ohq3g31=t-0?0&`QongXPM~RIWTf^d<CI!L6tkT`CIp+JNaK>Qga-KKhI^@u
z5-+6LpJ6Wur`Ja=tynkPrLI1&;opsaRCO)JT#@wOVXmfMdgRZnl3tnA8<ebR&2o*n
zBRa6QYMfXG$qP>djNI}!Jl_3t?BR+<LgRuS^y+?&qEDYrlBKlsU+~3FgFV`L>4%qf
zqKYQDi&pVb42<9W1JJalRfPRGA9wRLUlmii*(=`!*T`W1f}Q@`PIk`9<bn|=d*MP9
zrpwZXU&pMw9umsy6>ZVy!)Unc>dlSddI5B{bCkU9C-?#pHcgD8y5Jq@XWPem)FSc6
zWukWQ-SS3&{)E}7|AgHZF~;eCg<|D3#m6dRNJwyD?U42KCF;M6o`zDQ((@Uv<FOG-
z>!sUNeNd>Qo?FPac*VL$59MlYV9ytea;k<?{h%U04>41DrJF9t#m&C)ghsKF24@3i
ztv;^QI2u}7`2v>(6Ubqd2bUkVd3Eonn$%C=7k1-06hcl50#<6&PfB%IsMk7^+VTHO
z2v>d}d81>sU<AGDhn;}=Yoyo-jBb65?>3~ji&#~+#xs4%MWG?Rj_ff0fx=1crTBr$
zibU=VpEdVw4{l|M&X2cjdanpi5I$aSW8%<h*d*g~KI03Ux??6F1c`Gj80X>8wWIH(
z`zS1-9BVRf7!y;rfHV3@izBW}`_NQ`qN4ZD@BfgUS}FlE-%3ux#%e#JhO90(hD<M_
z9Faa@dR0%%BUOTFD1Xn0fFu?^2TLHN`VZoYMLGuJ`-qJWh@YD`Z#H_hu^|LI6v!p3
zUuNB4g36)u+rQspOphn=RA3U&+k?r?PP>5bjWwq3aq!hZz+@&1W08B87atuHqov&L
zLZpEjsN1ERdtez?v1#SzHzFtaH>at%Pv+)*Wny35K6iVBGC1(}HLcKvi+<tR7DtLc
zwbjd?$w=B$#dOe6q@JZ!(yge|iTO`kZz;~%$=kl!2}{iV(!U^PpX5h!3-BQxtp5p-
zWG})p1Q@gt=AhrM+_G`zqa(MPH=@8|h`GzA>n@v46R(l?&Zi-Vy)p8nf4m#0Wj7##
z(6DV2-cHtCWt>2(0!bB39fEu;TP2upw0|u~g8oG8m2JC}(cm|xNlAX3x`Q%Y7Tnq-
z(xxaPtaTU%KiT+8Fsm3bOZgnDt7$w^u|RBG2%O!RVY$?B%PD3<Vw5#nU-;`6UApiU
z>(t4tD9;n0!AacRFAA^eAaHoPtE)gjP&#%_0Aldel}+SOE{<D4sk}3DwSJm|OKvf3
zGV1y<$0lud%OiWZ@}Bcw8FXwwgFZFm7+BAU^<a#*@va}>k;N5U7Tt%{|18$xKIti5
z6|V3GC#R^fb9>+I$TMayOG+`E|NVXW#{+Q*m#Ad-q!}0C2QNyF^MBw-U1h^RvmPTG
zSwL;Q&A1|SN3uTUQdUj60>z4nxGnnX<V-$QIEw`8<UM@6XCxN8-@Iye{He{pUd|-2
z+I*i^N=7`SoqrB?<E^N`-Fw6)COq;INF`ykg)UkQB=+Wzncb#k|3qu;?Wm_7X*dA)
zf~YPxvXipA(`>{pd0J;BCHdiuZlQC6*hb8nA*j1j9=Aojo?iX~oK21-XlL*EyKyAL
zZT|VlTP~s{piqv+@OldT)>MBW&?dOUcPYg$cpXCRx~8Bv1<WgVV(PCiW6?@V;S*|k
zf|=?(T2f-tK8_u%>=o+Jf!A0M|2{uRGv@V_G7S=n98S1*W_6!U1^E&^v(ePsU5QNm
z{SnHZU*9BF92X!2RLM6Fa*hA!Nr^ghYltcQ<c&PMkDGsAkL>6~t^H|mM|l7NIdqhL
zZ%ql5&#Qu|hYqrr65Ha9BJ05rQ$!242U#=`0$Z;?)fFN03DKdWK@GDZO-A7zKCM^O
zf_YySVL4*3MFKB22x`!`)Y(fT!nVPEb0_^jWVV`AR8%-8#Yy^4P*ES(9}ZS24#rvd
z`kp6By_wyIBFu)|7$gs<W$LyBoP2aoY{E#}&WB&);>ydd=O{9dZb#l!%wRty(?&Dj
zRT%47GN)qWll|lH7J%z7fH`V-L_P@+G?XB^dxQH=x8C?f8-W;u%RcEt*sai4lp37y
z2>LXCSZ&KWF+(Tt$R5qSNG@nAa5ePkDiQEvbbM98HQj~_*h93g%jQ@Vzs=UO^F(#c
z%0$LKz2Hy}4?-D`jVzJx85V(4LVC%Ik-y?X`NpPW6E6-wJ)~kI)cD?fAF=HlY|U$u
zVJFO3`1kfjF{D3U{TQbbe;-1eV0yMx9TxTUP<?@`E6L$p{Fg5!<E+6S0jXa9g>tgo
zViA7Kz{JE$u=(rYl1VK7F)k0@7YbFCThPbfgz*3!C?9O)!R37Gqkl^}Zo%e<wj@Ei
zmh_!9lvaC`(JIP&X2f4(lB1<$vZvp6#uS%bn9H}uW--^9H|i{Aa)79luaR~>*I|UC
zw78DCt`^YsjVqC6cMrG)_0B9+F_u^!-?imv<dMd6+9p1^8RJodVz<t>TI$NxI4l{i
zsEQ|tTkdq@HR5<dw%yeW8Y4rAYe(^@5Dh21rRT3a)BSb;93TC6{lw)B9*vz_&T07X
zPj~A9NahD29LsX<P+_1uchkG8FD-#=eV5wEci@!!+)p|h&z!H;u2^tvxTBI`RP5E)
z{u9JpS!`)UCoPmB&L<XPPaxlaw{A?;I25K9q3F&<otAKWjB>1x>dk#=dA+JoQKc>5
z?7KZ+)N~!H$>+N%VcB{-%V8=pjMx!@+{1t<tDMz`M7SAEF5jgyWe3_Sv3n&&I|Dsk
zX-R~_8zya2^IZ7_eRK6r=B-x<sMKD`%DDVwM3f$?`hCJ`>79Yl#lR=&YmZg7hCo7L
zqSnh7fS~|UCu66j>cr?_)-{Wf!iQC&f^{FGmMZpB23)ku6i>1%Mhb-ZPHG9wQS-)_
z-mHYt<+<WSe{ALVco2houPA{SjQj=Gnv_K5+7~Bjx5GOqxzE@^X+0%oYvN6UD^S`?
z{?|i>rUY$)1m#}1_f5mv;+4b4t-f#wP$=&~tUt|sm6%k+q^{8d1Tr=ZHY8q(lo(X(
z@o0)wf{pvpNI~AVjFdgdS{0N@Km0r3-LqW9$ND*u)LzpsVX9;;kLhXaSrIgk$bpf?
z)c&XFJx(80<~28K?*<ZG2>9!Ju;{%Z<4UgWc?=zUKFBe1dKYoPij}EE#8Xdy3o-J%
zaZhUh(TatT)8G4Vb`-6fZNInCc2BgfNCCPUY0Z{!hu3g~zHB#7&@}K~H?-`=D43~n
zKn7+8(9qnLnDB9$HM0jn2HS12tA4qHlR)Hz4YiNsl<e??B5Zx%J3hnX7>xIku;)A(
z9DT}LkM5ez)O0dFA5yAKShBRH%dLdjIyzOUoxB(vZoMd3PgY<fNA_NQ<x93P^-qrN
z`s0#GN=W?z&bH7{1Bdd47r?ngVZ2a5ob0CV{6WN$RMo||t7*>n<YKImVK#!tp_s>V
z9Z)++h;KY-srA70^Z7Kl9;60{gfvLhTczTPO#c6nQW+XutuNdpmkwc`KGSKPgXVou
z5QOLMG=fTwvf27Y74Cskh=4vH7+`^bA&<RMMk2_WSewrzNLoefkoQj`_2Ocj`~nlV
z!d*4Ac{s7Mgg>c)KWNT<>v-Z?;2IaF94UZ`<q*A13pA9e=s;$J+fuB*&}Wd$nOTJ3
zOx-1j9c6Dk&|Lx=u_+zH>jNI^*vsN?pTB$Ym2CLO6Vz+(M0~MH^gT$?)u#0?6bI;9
z)N|8r5l#etY8wpl_YvQMq?s>1QjYe=xv|)VH^23ct4nBX92Ay7gfQ~b{nm&_+c}Rb
zi*!AeI7c0Cnx`Pf4|}_a8GLGie1?sVt@}IHJS<}SG(IsA2-yMQPZU*<8H%Is!16oU
ztUA+3)BQcfw77HW!H&WHTG+Z{g`}6cP^dsF6M)BE7O!0Kr%wufV!|nAP&g8C0{76T
zY-kUc#UhaF`<7srOHOmblqDp(jXOt|Hjz7_mPW$AM4tgWU=$P-^q87Qvo>HKZpN==
z)UQEt+xK4znVUwmQN9B4_}?3`?_RZwK=Xz`H)KnF9~&V1yuwzJDvNb=FyT*ijG)Qz
zUr9rE{JltPNZ@W|Ie=DBogYGkoSt0jV4tb#$kUoPr*3vSpFUMu=8Aa2JKocuhiEsg
zb9wF{2<cTeF`fevzW7~O*tVaLA)x;~iL-L5sJ9ri-(EBc>GD!<?yGpi{I`z_X0tc{
zeKlWAjE(tY5s6LmBLNwrBNH!g(fYsTOq(4{&!eB<GEKN!h6XAlo79vIEqEL$-io`E
z<!7Gcbiu8do3<EvL&PC~CA1Q*`KxF*ltFRg^WZuOFY}oHdF|je7>^b``FZGiEb;q$
z;{;QP!5_Tfbl&)MY|!4DKYx^=qSL@>>@=HM6HcYAV#_<)b_prY)%Ob{(i6hZ<(r?E
z@_6vfYD@{1T%wy;jevtI5}&}od({W_*8Zu54PKaf;7VesN9ZQk_JKA|6}7+~DwMct
z;wTotu7-g8vbMIia)Z3&tL30cm<=+MAfEen?J+N@=~{$1mON$!n2dOn#{IV{Ji$lA
zt6$c?;uH)ynD(cY>oAw@oZ#93L>=t1-%e?N=f%X&htIw2#|3dJF;8{4F%J$&HzX}V
z1g-&|%>zjpv7CU+z}4&mxusK`($Zm08w%4+MyGzbXRoOh?Dtzd!kQzHqSVaSRCRo3
zp}*h9L^CNV_^%glA{=8vbi(4Zw9>q`R|>2jyN3^TyV}<#{;>kOZug-bv|mDbLceyz
zPGS^u?q|68kkrTkKw1wYBMoz3aD4uL_f+leAYFx_LHB$9w_*R7nyttWH+PEFJ5xu2
z&xJ6-++U;c>-oFZ=i|npsTO1|tomGcs~6g;-`6sE={JJ5rffJrHTtHlW*=kNFDhlc
zNUeV7pj|``7Dz%C%_7(jWym{%>sqva<V`RC`^*(w{mwat1uld(16zgkt$S2BiXSf{
zaR07>W!4+)50vL!y=;{p`-P-65*EZA`Dyy>Gvf)uY<NGmz&6*|V**-K;tijs)bas1
zYP9bH7!EwdE$Hiw9GJ@?)m;<m(#iB6;*dY+yDu@d2ruxqtOVgG@|{z9UslpXj}^P>
zB!N(VjKKVtghpozFi<jAr3AGuUlgn~%{DFme$PlOj4Co8^>}Sa*nEx{c<sJ-(&YAp
zP(aDI)si@(&fA_=lpaDW3X?n04^>3{nvc+KLrGWA9kke8|BPO=$JWpkWN(4_4w4%}
z0tJFv*Hbq1jD0yI6eXp)H}Kd!xY<YDKYn<}sZCBxFIHE!?n<fS-@h=x%xGD4KjIK5
zWlHd+=z;@M2xjdahNHj%I3*V*1BptEd6hbiD?iA5yT}uciBCcB?g2%{W6$6ZxZxcO
zM8pQ8<bxNAlC^7_24^!0W(Cfgsav<~DmQ1WHEw43nArrqCTsrEfh3IKS{W^wH%@;1
z^yv|kBL3pT1!wiI%xV)46l6y_cM$`3Y^@*`!@;8uJ3zss2`IE`n0RwCl2)G8@aMVw
zk5`V}z8fEgf4sX^uLPoG$G6i3ly)Tr!zGeHEif2w0jG|d`dn=E5-o8OZbC=)lH@+(
zI9=mD8I~?z+2-K)yLSu2-P#zKD+<M4)9gDcSym=?Kj)%<jm@+G+ZnZ&Dop=_d<iEP
zXAW8SoY`OuyU=hbHlTugS^5qqPV7?hkNKa6ezPg7+5CErz!O*q&l=k_cRaqB$l%~e
zQ(d~-;t#Rrg0t0aM@M;}SFymTvz5qLffkG|)d|T=#D;}<P>a*9q3AKbTm~H}G16wz
zK71dK#p%<G3A47QTDO^s&kmm{J4q-67vuq?+FdNc)JUM^&8!TY&*97>su;jK%+GvD
zJJ=23OYR<up4z7XQ4<{cYCKI#?ia(NL)IuXI-SX`YTnCix!Y+hT=$DAM6xg<88Cjq
z#!Es@3ko8^Qcs;nGa!i2jjZP~M40X|SOF)ZsmuO!dsIJgk`EQ`L3d;j^n8NoMnc;8
z%fmq`SC`dXhlB0tR-Wl2neoKnv)Lk11#RVt>p*43e^q$^9WqfE;72g%q0J1~_ng#$
zxWC$s!EWIN@X|BzRMgmX^Rg}Uq9z&D7;f^~LqHmpao85pcOIHU!lXA`(z1ynE^6dx
z1kHO3dNKSta#vcT{j3oKzFVr<oiB4s@*%dZXBu4@Hu0x?ZQ;f`e8*LG*~l&5lg<g2
zBdsa*<ZWQm;?L7z=SaL12?7l!EIpf&HQuft8VyhQem8;@n}Fy`vdm~>zBT;pr3Lw?
zDD@E9ZP%YUQRiaSHQS79h{dZ;#%xj2J{|pE_f<>|pPn^8{PY$j&djgNwmM7rzGqX^
z+SlSFAPE5|+~t5vVnBbrsq<xcU?6GLSz;-e<f|HJp!wl8#Y)pXZ5FcP(28zr8COTa
z*5Grz7XJ@b-yM#1-~NATQ&BfsGFl2zp@@uhw`5fIE<`rT&S*#}kyN&ZeOYC1C6T>l
zlRX<q_V@MH{rryO=db5@ZgKg1-s3!9>wMmK^5s8D+tSZH-A%Bm3nXcMGo&DstDbkd
z%*mp{XKPR7q!Nh>Dzk(~OCooMT>-rkV=wEnlCWTgiBD6N<maJ>ZeXlh&c5^&`F?e?
z^)Ti|kL_+I={T*Z*?dIY#UK09V2Eo`N7?7ul7J6q`zPc0u1)-bl^Cjr!6SdrFg@Zz
zE+pYCxe(LmuZU@NUyxxf%sAydiKlZO16)_n^gff{d-$-AHPQOx>zpwI9Wa&{wSYEo
zp;4Jf%Yb+O>VM<>9<z-RKQT0+TYvNpmZI?JrZea>V-%wFabY=X6``yosk~PgvU!-f
zH9<cRtE%1yjx8_dbUT-S_C-apu=Ebc3os!MCpoS!#oc&~1f$&gW0~n1Hfu}K{9igi
z_zmOQ_BZ0G;ktQ`&&*|_*%OiP<a1>^KYQl}&f!vcA9RG<(k;RO47QBBpHqDL3^(xw
zK#B3<25_|yZF4s8{3pH0mF!I6JA|pP(m7&dbK*O~)^4sLOTL$k2saokTqRM3w3)Rh
z#pXtnza7BvL?2wDrTA&=+4<<7i8BbC+QY)%*Kq09VrCY>-2jk^Lc4;mhjrjco%0SO
z+{KygEykoeBCol%-<FvT2i%p?DQJmX%R}Dx)ywKR6E!+nce>4Wh~{PX69dkt@2+}6
z7R>)t>V0&;4~>S^tx@wA1q6%Q@qIZRTyNKm4SoSk=4jsX@57-<U8X)BFje+P-Ib!_
zJgmC^-J7Kal@2Wz$t~kK1>LsqQ*RBcUw~$gwIiLI5-TOeDdT@d(6Xc587aE8*>)DJ
ze2EDxF_~s*{pn(6qU6uuupzT#6P#WRvkUvu<&47oW!j$A@Ooi|<c<I8BFbJTM|QFE
zsY*p{XS~l4$RN``OlE%Mrtj7lD=9vkQ1p-_V`QpjUj2bQ?o!n5h(QV5l#Kvt%=vZO
z6HPlu)3ClI2Z7{5&-CbCBuLn5Y0p?uO@+4vN8eHB_J50t&6h7Epy*#KBL5=&3-G(=
zB_$<irxE_FEj~9Yu(18Lr|0oIv*o0JiI5KyC++p$GKixa{-fR4^UqNQ68G}t$D1}G
z_e}Q16yqW_Ggle##h=O<oVS^qrY@}v2~A$CUHq8>CBdN$`z$!;ydScku)l~X1TMsV
z=z7xqT)$yMeP<JE1bQmpU8mMqt$~~x`jmjZVr0Ieh~h%#Kxp!u%ikh`lCTUX{cx>6
zy3%IsmA;(7#4Zf1c$&}pluN_+Sl&hfA}l1TQjmR2$3Gd%HNtFk4d;!c*Xn=FF?Qxx
zC-QmTS^9jPXgxSxl(+n2uXrUUCK3v$>QFh<%7yfb5E>E3PFCaHFAh<ZEB~AML#Ze(
zQy?KGYaro^jOxFY-yNQlJnwez>>2Ax8VX-Lo@CbH+@oNptp*n<Zd`r8^!*|d8xXmg
zEZWP_xxveaX8m+&F=)+dk4v;J+7JKPM?C)oMzQk4T#>Vf9%R6x{dTVYjt4xtM8&l;
ztKb@}h$070Gs`^kl>TEyF7+#}#5nz|*`y(M9}(<-aDm5Q-_E_yMKEur!E9MWRI(Q*
zjTXsZAp)Q>y9(x$v6l`cL!+tnes<<-s+N-Fb*M+)-yFL9wx=Bz>ocsZ^S?)*WG-HP
zowtMxL8;)|S!q6gdcjCXVvS6wv?Hq+n?rFclkdz=lbm5goBS5~E>~#EYMM52_my2A
z^?9sjCv|4YVg8a2&E@|mHpI|r-MJ+A{G2zQa=*`Ubs`Y$`dINtiEsDss*XQ$R(O3F
z&C_#qZ`-nomwSm6+!RY$(wQS1y97}p!__V-ajLs$XlULeaGK=UpFjB@vt<9TZ2i!b
z=GE=&7oqP|J!Egrkk6XK-EJ`MXEI&Ryc<=Bpi+T6vtvp>=(e17l(sXU5r&*_YTx$S
zjC=NrOXn9Oc{gV5jo)wfTx`H%|DWTFi;E;T)aYwc_uHa%k)(Em--Ht{Xh6?BrCxWH
zjVr7QJJSxKY9!S;iH-_JO8l;6yYC<N)IScugG6!;A@+~J0L|F9Z{2Hv(fkZy7ak6#
z;erirF)1q^`Vac{<*Q~s<@<Y-sl0ZDyS=7<O2zEtkFjP(b$G4Gwm~>s{Z;1G!Zk<E
zdv&i}Zc_U_pNaAQ$$=o;*O#P>LUbiRIRP?;`pD#x-}2ML7>=iOD*{?Fef_GQ%Pqw%
zDoUVS_>{lqs&rHA<?M4?^gIlQI}NY(CZ64U|J9}_63>Op;w7|r5DctZyS5DH%R0LA
zZg8oUfR&x<<eg~q``XQcLerPnF0eL9C<Ln9UWfu_g-Po9A0l_fC{_pq^@-mQe%W(4
zFLpM5M{^c|l}`LRgA=M0OXYj_$hTrlo8W<`TK&_pTr>O;M;&hh=-7{Wk1r8j{tIG0
zO=Vns@#fh#hkQ>>ucpW-Jeyw`#=BR*N%0vnjdtEBIMha8M{`%NF~sLVwEwC@+%br?
zr60KXde@UzTg0IbJPqh!^6Oka<`0rc6_@#+XFcRJp~ZYaWC)z{p$DHn?e{Do=fEb`
z>S;81(!et!P=6ChmX?9Rb@$G_dG7UA=`j-l_*s^!?GHrGo`8F^VGLcH9kw~i-=w?Z
z1rWJI$Km1|-NotLx_gbFGhxpCR9se<Fn0g`{Zinx`q;<1m+}0Fw%eDleaZ7rgdc&x
zUN_O}qD>D)N`P=pl@pfPRO&LY+q|sQ#{y>Vot%FDj`vaN_uR4}jKZRP8+iHo0?9!3
zk`7>D&`FtlL*{q=duG3BE={?@#OwN_t8IAqMi8F^4%4>-R=Zq?4gzKEOwIh!BL1+7
zf9UxgC$AG2mtKn)G|}*TdVA|NGA^HqZD)zZ+mQ-Usc?!;gCR0P^wEIPk8P#=^FRB~
zro?Z@Ys=n<AB}MQP=3a{8iNzFy1pl_P52>=H+Q)*_;|cIBx_cKc@(#|io8B*FLJdn
zgz|p#UvV+^NwXiXVR*Zr*^M7JKAu{mbh`sQpfs@PqDv(Cjc5lUvO2G*SpRm8iZNCY
zcvi31+Ie~^QA$ejb@G40R$Qt_FZPHN5g{0#Ve2P|x{*2*_=IJHuG(Q%9pMMMnfdV3
zVwCl|<CqzWcxn-MSJAI^U`+I^vuA~XL|<X(ep<tSeaIysr|)si%9fF4sb5BA{NMVn
zcJ4b5DE%35#uA9=K21v1K}9m`^WCo>#cJ`7Wc@GSeoO=q!H_NMo?Z2ME>NU7=KsB@
z-0J1DrsaEveyU!zq5QmnF&hN1Q{nDEV*9{F%u)%4ITf8lw<n?jB`>$`vkVwgfLUE)
zMYDFcm<s3T@4w_eqS~LMwy2G{NX@AxFG+ZzoR!w!EjCLM_=!@LKD<1z;fM`4)6qkz
zxTy)h?eOQv>q0Oc_x=OYD5}qoLtayx8k<7(ts1=K_&?ciq6F8GrF_XPi22wp(lXm?
z1#r~^q_*&7WeN6xwg}G+j;}N99fS?6S|4_8qV>-@h3L**n=dVCJoq69mF_bTF4DL|
zSbyimZTZ)<BS(#pUhrkP-gE_$)`xT3mq7v)%jy&&=>~;W@631wqU|3`U$YqoqhlAw
zdKiY>@BKpt^>&=}y!`Kw)<w_USK2JxbWI(SCz)1-)2_SYxpC9#p?e)p^6U1w`z$6n
zkFzZLx%nLzc-A|oHWDXez-jn>^!DE5s*e1#1zKd74O|(Cs7}<@e*$3k+~Dwor^<&*
zp1<DJ?|c$VINs+2K&%nqxR+i_{nmbV+d5$SUVm=4m%r;uL{3^7hoNcv%*4hTwb&U~
zmnbUN+EOVHFFg{_cx|Wlq&c*H%9Lr;uGgZ-atL)Af9i2}rQEn}9W|h^3gv@B%cIAS
z>*1@n)?m@9u+K$WhU2$~``e61$$3Y<hCFE5+1q2@I5xdIbXa#LRKT&f)ywlqcCL@<
zS2QJJDq}I0?#TP5vS);58u$&D9<{)YG&|L#6aVV3UTSANdgnmM+fdc^q<lE~-43Oj
z`B)Daw4l0{)o!kZrKZcj%2Gi*lx>HNg+p$ALhuRJoDWOtI`cM?^3LgMTYJ>pFmO-;
zG9jD7VwofMl#-GYV5Ymy6dg6YV#ZuL{@w4`v&)w!`#RS)*nE>{ah(6i>+IDWcM)wf
z)y)DFQr|&Ppf$wj3JcOD=q0k+2yZX~kDd}bgpe%DKIDbfK^YQ_V0~>q#SQpSU7aM@
zlL)~`066eF^+z8MY3JB$37;G8>{!~e<1(>#;S3aU_!W+8Hxj7d1i!vy<lqe?pPH-R
z%7pJ$`O<aV9og^ZZu&XOsK1Rb-ebmcj&aMPZIq{D^lQEKH2e1NH$hF)Xi#<U-m2!J
zva$=Pb`_xE>U~n)c@K#_m;=yYYF5nD&41D(9f>3#ze>#iI3@O@U}f6x<t>Jf>T~=z
z`+Ss{+D4PhAJdLCvWiEYRA?G$E3$8GDTsgQ<<)>lhc?{|83`Fz%Tz?pXlu6`geN#S
zL0hJTM)3Z!{^Uv!(9jV~&uqj5oA}nswmrYAPcZ=hxAOEhTwLci^1s@D@wr-cUAEk2
z*+H#SA6&H4o_w_sEv%m#u@SMlU4*g9lUK3Tgl@&zTNQ8lLPN1rO1)@X!LF{u%H3zJ
z9yC{|S3f~LI@>iZ=6OLTD<Tnz!eMMKf3ETz{uBV+QWV$~6D+Qm-+9ziqA^sSXCtPd
zBE48{<O1ZvXozDBLmm1fPpaS#mozXu<{m`x#_1o82F($9YjN&fMyuU4w{Or5XWl@Z
zxMEZF3S_;ZA$)t5&Ea3rM|_KX0*UY_j6h(V7ShR-&35>Tn{tAtL)}2Yv>|@3T~AeR
z_wd4$dPvTX{8z@JtNz#zPiQwZWU8O^2yI%W1Ptvg8Lv0m3+5Tv6BSah8-|!TqFj<e
z8)$vgC)mL?8LB-qT<p+(rqA18>}3srq<UoTc>G>V={jNXL>I)rIvU6+frb2~g~Sf$
zX)WiUMO$Zq4W)vo(EckZ=u$M0t<bBuV5A?!pO*S=?BDQNS+%ITr@yr%KI99Sgk!p2
zn{M>qSNq_>13`~)oUR*)29Z+01qvhrj1?7}m>kQ`@bJB|VE^%J>rfblH1bix-T!mQ
zTEbMip(gHwjncur1&x<lokgVE^EKbfo~>$a!RN3WfeIMeDsvmz6E!pW?{46zD;XY%
zup3W|OBYr0%TKqKI^?Smex8RRX5?N&%dOGI4haBi7#nLlj6lS~N2cvEh%x{q^cp25
zw}?nfRuz^yZpTI<7$<a00K!RMgT^pI8PF(&qaF@bJt@}m&LK|y>U$^r?-WJ)e@p$q
zaYp?Ehl+TAclT=y61m=y;~?TPpV8sE<eYv;CRokCU@PN~Iq2_4u!!l!(rMXIA$g%^
zv%#yaScO8}`g$vF<B7wr7IHe)|L!p`uPw5l>$kTyoN7q9o!XG3&*u>euTrw|>tFcv
zU*u4NVH=2r!-&q4djMP>obd_xf$dW^kFmkkSX3+K0+W)GTE~kqaUsqd>wjOW&j;t}
zcEbfeOs!6UoYdI8ad7~8060KiLE|0`n-VwX-5q5xSdj{5Z+JLiSwH9|qc6Fj>o}1|
z_v=sRWfqTCcDA>9&zgoxnjifZbaM@P+XA*n!^?Mw!D)ZO3*`qFNM@VEDe|Z&!Ta{^
z{r7v$#FGw8W{+xg{R%)NHGKe%A4Of=H{`74`QQFEzwpjSlIKA9)i0Yg&hqW%)LxmV
z7Udo!|8@CI>*1&ta?ZhH8@l1v)6+ABfaF0a>Qd>}C?;yRa|ic)|9%LlEpRc})1FM1
zprwf4JqK;fYfS$$V=iCilNq3!5kh6I&pA6BBjqx{TOe%7c_uesn`-CU9{=^82G4zE
z96FFJ%b?hPDS$K@StR=_T)#fpr~46IVzNt=e^^Y+YWI+Cn5~tcegpj0qWypzc9w>m
z1wA;T(vArU8P$H`eslepWYm2(?DQLE!X?kW$=FN~0wj{1WXszO)fUmw-g6>HAcXG5
zxe^2pg@oFo-A-t=KZ#j_HbULnL`cumA`b#LyEZJmlD2P*&!&dousS+@;p35M<=b~-
zwejauHj3gpNvEo^ArvC%UFbvJE0EAsHw5|YWU>6Vp+75*mev74e|&+(gb<bXWInUO
z+gRFFYWXg?Q+60Z;$-18VGLhboNOYFgUrJ3xMaAA^y8?|H7QF(;zv>YGt6)Lce0>R
zQ~_A5gye&G^;FNTe{WOa(@i_vC$*cnf4%48>is&SIu($k>{OV*Amx@T^T0u!hABaR
zR&UmQiE+~=%Ng5Y#|(6;hyPt(A5j8M$-w!d;7(9YH4QFW<r$bO8QF11t&@&Y`8h#h
z`I{_T?=0j@IV27{PB)1Kru9EC+vD%!_h#!>)4IH*>tfCCQ%;zv4`PZ|$d&~b372`<
z^$QpuD4|84z@=;Sga!W8i`eB#gSAX+4!f^-41>H4(n!2d{CYr!t$bozX<2OfVf)?T
z;X;Yu!$A!mA+?cQ_m0hk70#L&`k!gnIJwb$*Vk&(>xYX{;RG;cK6hl-`N}Jvm3;7s
z0IRqJk3(EoSYBQpDOBo7G7?;lU{(EsuYsXNSV$O~eHRUn@V)~j4m6}Caie}JDjI@U
zw2AD^kC~kFf;MlHt<2myz1S|~N*q31?dW>sdNoHB-<jfef$ytP)tIsN+Xx2H!5F8v
zdO(?~JQjI6;t&EZE4+CjcArhx_cUH)QD~b%!JvTB!eIvIteGeyYt;UJ)5gfR17@tb
zfv4Y()Uh=@Z(nM>!)5M1)9L_011XCVXXjez5fG5{an}5(YN3{cqoaD~BifN|plV1?
zANoKpVd1Zi<%NZXj)(M)#RQI|_kXV&930FxPR6nBIQp(QZek^6Ja}d%2m3~lUBLPR
z@{w!@e<0;bwdq!c&0tW4Rr|T&CX&fYW*#F@I}y7<G{t-Q4O5JaG>(L=aL%3lG<s1>
zTE_MdN65n`DxF_O1mDTaDslOHZT)Z_CiAYe1^y=O9}@jpb<eNz8Hm?tdMrcu1xn@G
zLB!XK(!U-`^y~2tt?ok%sXnqFFUQzff8#!i;eUB!l(y#ZJ02d|rW$e)Hw+tsB*qlq
z#FUskOH^j9T@<Ks99ZNo9WJ}M2DU)|M-O34&FJm{*IsdR>jLm`K}ZlrGN2@jd$n0X
zX0v2}Z%^Orf$v-<?lw6omO-hRpSM2=@owlEVyS;8?LuAHNh2=goY(y6if10G0Y%*I
z=_`DKi<l<(Z!5s8l;*iENcURgA$ZYaNKwHHA!N*HW72b?o6!Qyk-@BegSuLeteVMB
zOd^6;>EW|@PdBKow(6(y-IEEo%2zD}T=BupsX@bduCu)VHm)-Dv$5b%i2kMV>aov3
zO^diW8a4fC?FGL_nLkI^Kl3JHoC(Uq0q^tFOw{V6cNKj@Oo^~YtC7O4#KqPK-&?sm
z?cxP??K%mzC`~GRtPwM(A-ON7t1el0%)BicYMYwbxw^x<IAF}Pvlqo=(OFENev6()
zWFEnb+v7offT5L{cn2tM2oeA*RShUQQz|ooK$&!WGqBb)I#QMY%S7gnpW1}=kFJxl
zVd5bppO+UzfvwktzS@`0CdOYM%X&V!aP!a1o<sYLtLvwBG`-Cl-cmL6W1`2{fVbl5
zp0jN?RAusImiS9;!n2h?ub42%4$r>|xNyR{|1mY2cw8wZz2$TDD6Of$=$5Oo+$)t=
z8nXgL7~qj@0v8qs8~7C=1McPavp~xs$zYdrLwe-<Ij2?;-?Hi8ONoh%gM*om($ZE^
z3gQn3b#*$9#0PDebHceQFm)wRcMY6MX>?!w*T1IlA4<MD;Bj?h+#B7>$-)=UhJQ3m
zFC@);%HJY(o_AIRV<d11e2ifcm$}WHe6bf>p$WBG{M`J)!qnhf?_umn6$li1Wg@HN
z)l$%?ZbFk>6=Oy&V_W1@rjTLkN^z=}fEYIsH~r$g!$_`_arY-4A(1GyGwR;Bz~uLw
zeUd_Vhzv$hJ_lR#_9iTgxS0ZMKDF<i#93+v@SJW_UI@7;Za@(0@@9}9cD6l_(nA%o
z@k|-k4XLC*5VwEjd1|Fpc}_Cz=QL4{Pe}HI707D#M7~zJlQ*apV*phzS4xfQCOo}`
zGI2hhjzXV;p)}O~fP`QR{t4+P8&2R%h)3YAgOX%Ps#%AO`oz`#G}>kY^|LmTdKqgw
zC`N6sN91H;L@>?oQKh_XVc}=<+M^?~3+;EA8c1=r*&GTO+PZ7oQWW^pmljc#yrCjC
zrK=N3M+8<)U@jfpP87sLA7b;n4jNQlM6V-=E4Q@;AcfuTg+xc9(1Gt%C0kXlV*6#4
zh#PBLS}OB?Y_nOq;nm14ZejwGp$!f`Lpq5-+22CC$4a(B6Hvzx&UH(|pnO{@Se)M<
zk5bw+epA?;|41@>ja@#k=A0YcI6m`rRc_Lip!+hN_7`s7jl8Z3@AYKK9&go0XM(>l
zork<B5R(F4J=(g|)C6PGFxtCR&%on^m2{jQk0);InwlCp3wC_I3=P!fffx^r{BCh(
zFm2Fl%=hU&R9SOZQ$x7s+{h6~euzB)-PT>$DPv(OjD_VO=VHdbNYw#o2kPHnyKn}N
zrR_y{FH`PPE1OqvzLM3$-{yk1@?_O=tJ8u{EG~6^c#?#0DijPgzjdX63J)Wo4}%9|
zA9HYXOB0bcnO!pyNDYC2#mxPwB2~Gf(U!s?aQ~j>@nS!bDn&#qcvLbx-ge|8w~S8<
zseYS&?}^{jka}_#SiL5Kyf^-3gYas7Bvk9xG+xTPqNA~fTbxTxzPuxjJuSG)J*nm)
z<G5Jfc!z{x7S7a!>_eDdiXkqR=UtaySH=sq!e0d|8Ls0%jD^OiZp{HcJ~@&!a-W_x
z7WL}SkCY^@3GQV*0mW@Y{KY4f3j64UGnJih`kX4is`uJe*Kc%;KjmN(f2kzR77zF-
zDtiU&`uy&m$mn^V#2nvUYYxK=RtoF^$yAXD*QcJ#;nKC(G8YOD=8LKch=^m+si>!!
z27oHnPftoZO!ZFJ11qoM9O~n9g_W|Csx{LVtITmO@nA=cjfcg;KuNp04Tn_7=fv9T
z&qej==2smY?As=1Q0COT(X51YntOrlOi90F)6Tqh?m&{sLX~_xvz_RlMh2p3wMqM4
zH>*qM9k5z}=)l;VMvtT#)%C}&I6|?cu5L*@sDE92t=lA@*n(-<<L_p&UG4Ck9EGpZ
zgsm{+{b618(+r8ZOQpp`Cyi1y7VvRth-f-v-b&%SAZ#GUGh33-rQ^+?9j5Zpx&q4^
z(&>#@B_?D+U2HMz6xmr=Rd#AAH~+o*%c_wi>p%w^Yp?2^wgRqE)58sAS!n^AM_W?M
z=#HO2qcdiPQ4;l8i)K>F6v`95kME$Ux^et^PpNmLrQ6$i&|u2db<a<xH)S>JsfZ7>
zaJ2KBI*X3QT#M(JiO2G*ri?0|P<h47#BblShE?3Drh7nM`h3m$P74JY%{PvXd;kl3
zT<5ad0<x#80?NgilU@5UjYXwBA5Jx~#XmiKBOn6s)x@nB?E^OP6(|vc5-30L5Fkne
zf}SzTpLh*(?qw4ix5EFm9XmOxi7&;+w6)j|wNue4HXnQc@C%pYwHo@djgJ}`D;~8r
zqSG`oOK?ROZ!U7U|BbGtrDYb&2{<Vm;x$xoHmB3ok=Y4I56m!%{tO^^5=vtu6yYk&
zXJyL(9yCB!IAQ{BO`pIBBRJsmsn(hqmM1}g(2p>>E$O+ec$^uP)NeM`6rLL8=X0}1
zckh#%Tu0Q{c|~8b9}BB~=CwZda$bS!LLj1|Rj;1s>@5k9V3c{P&UleXn2wsaeVujC
z#1KwrTu91Kw<dRgGdQiev*Olw6!x_knjM9zNENY0H`QAywGs-#67W*|8t5N*`EqNS
z5+&SXXvi?g!8K^Rf4&;Q!rbrrAAg{+aZP58o`HE3T&XbS`Jnjhx%Zt?X&|*-cHKBq
zN8+b%McSv*`e)kz9Dj77xAgf11V|~uKNR<-46nlIh^tfJjFm;z5>Kgf#9c#OLET19
zR!_@YKdC%@mBUmkF>1`^+otrQQ8PitXqj6O9X@K%PsRQ|IWsfEwP!v^6(SFkI$cy;
z+}aUJduk_)+BPBEAc8=QdsAPl%3`R{?Ffu!u~ij?j&(A>(jj0@OiV2PxF@QP7?6R=
zH4*}cZa~`03#mTYNJ_%prB{6FUv26ETtbl3aYx?2m_|W7w|~11PO3(qA(oW6n<>02
zr~BoznH;z-F$i(XS)E;Lt^Bl7wD0lA;UV|t9z&@+creZl^IbS063{@aT0dG|f*I?R
zJKlj&G)7)u>XUso3<2%BdU{6zEt`Z?0Mv~Ix_Uf9ixP0xX<TN_@;@1R5p{NpSbOYa
z>AuQXl`UrJsa@aekDg7DIH6u8^d&Ja@1Woc%2xtFVRC4Y@3UtX>gS4>C^GWKjd3vu
z?u|vyPe)6e*_TKxcQ*dI0g(mXnXgDze|yUH1zbCED^?S$-d#rqj@(}*zNZ<Kzr?G%
z-w`wz+C26sqc<guAvia@cq_8=-XEW|Y@Y{yIh9zX1&No78N!1_g11*%Vb0Y8(xgd#
z1#>UKm<VtME64j4r-(_|ki^`E-uiVO=hPXL%t{DE3~3?5x-8>~6&Q20-b=~Ie(mtO
zbMmpPQ+ZocoSJ}1LeK5BY$cmc-?y^HMPv-Yn$0$Yj;eB+z@$x#E%t~X84<P}^=Hn|
z^VA9|yw^87JFBi^ac7@wk{&Sh`093~^-zH*F_Bh6$cFouZ)iyRX%_Eb6|ddRQ)o*|
zx6UI?b}?-tWik0mknXo<rmSDyJKUW_L#dMLoG$b3C$K2deMw315E?^7eE)zP$gO=N
zj#OG&yEE_hC!cS4%t|R>gDFYgdVC0w^(8{e)qVyy9zT*Eb9&C4X;W>2mZ&rG1^}R#
z1`ar&5sWMFA=&5fG*0y;%8MBej}eQe#L|rSQHcA=SJ#Hj_p`>*OD#K&>AjWmZnkdk
z?unRVvf;W^mBL-2&ajr>#H39PI0-eoOF7hWn9CUy3Elej*|);fPF?%G6fpA_WNDLy
z;~X<=NqmVcBd1K#Z@=S(=&BoFnxUFMiQ&CDwkSx+V7&L2Go)zTj8m69ePhkwyXM!P
z4<4qQ`Kho8Q_og?9*j>bQasEO#6Uy&Eeyhk6d@)G^InQbXVh}n@xy@hEQ*omfbcg>
zgCmyUwCW+WGRZO5hnf(6tCu(=ESttwoLll7n5@g-ix9Lq<!^BRK3B8D42$~vxnN~B
z&-yNrnflka<ajcA&&b?9GBHtmaGM%#3t897=Bwa~P#(KAteu$qypwaUK1h&Rgwj~-
zxYBn$l2Q(L_#5ot3*;yV;lX2JVG)(efCs7hg{fLA>B<MCX|2qH*)yyENxT&Y*<j<X
z`?RjS+Bw22gC9EB+pF&K>c=-H32^8a2#whEj-DQ|W@OS8539|8apT%lO|k1}oeGt{
zd2xjx&$A2PZR6iavKO22@SkiYGxo;Z!^%6SBD)-b_xo)of#f6|9-*j)P8yuO;~{n(
zm*D+1wOCK#Pc}Ivb(w%XSIye4dtEk;_L#ZuIY*p|OX@xxq$$f{XAC!PoD6qy9zNTH
zYit%zx;{#t-Q(|g3}B3$LHX&NQ}Hpyh8B&nD>tWY_}WCJ=Ni6zM|<qz$xt>X+ncNG
z80@Eiy&3IzE|c^wz=DKb#LpDeXP#u-p@~5=<Vv`fxD2>bgo0eR0ZK-OcsL?C)TXut
z@8aY<L&gjM=8HvZriSLA|MUt=75{kD0r*ObQ5McNV2GifHFP&_iaF5Qa{Pw4Tw#7^
zRFnEvr4gS^tt~VZeK~Lz?>`>GHn%PuKv0|!kOz!Xy6AY7?n+?cQ<>NHj3;zgNP^?8
zz4b(G?>z2B6JQSS%MjNP@BSsdkf|N6sfoU-WE5VT785AJ2Kw1;!x!U|w6$_B%ze}g
zZZuca^c9~U$#7|9k9j%HMWvg$Yd(8x!umCEb!ExVgeTJaa8(rdg9$LY#_w;P#xu_%
zm8&7SN}P(fV*>SB3-T+2hXC54(n*{oBe)*!59OGrE!en^lT%yi7B^@Z(}a~i;}KC|
zX8j9h2A0_$H~{Ai!*jf5<Bo7dn9iHLCV*AJ6E`2l{t1_7h(X`=x|r{)_}7II=7!|>
zGU2%D=K=YkUBYnqaW+?IdLM0~5s)qjqg6U$J^$|AyR`Icp2A+pVl#P#6j)B-k(L?G
z2?wAPJ8vvP4`hUJnU{~Iw3^QtCwb7;J0dv3Vk8HoOC1iUcpD+3ikFZVc>jlscip5B
z*WS^YoD~|Be>#6m#woG3eb&6k>U7aQW7C(VzkW_8MR=8eimSL`h}_nM@jI;$YErc^
zSSc5}oR@c{%BQGErLW2gZ2<DGVz+E8a1#t@VSs3;hSZTbP4?~Ecl=toOuGlLg%QYz
z6mT{+2d(LPk~vVRzr0F(t}>PMCl0MN87W%bYO3M(QoU_@CX9Yi^UX`gCSC&#QHoo6
zk><R>);{ENd=KK&)CRABx?!L`FOy1qQz%L<BLCk)wH(m((OI;@4Jk$n8nZqyu8w4|
zKpNOcQ{WKGOk30DF*5Rqc`aenp7(yDJTcq<rrxR4aVlC#)jRz_#Fc!Or6nN=7Mac6
z$U?miVHv5PgSpU75YQ5ATD*%Q<o}?6>LAPzy!vrfQBl$HR0)y;Ay9Qf&;6eNrfA(F
zdx<q&j$n0OS_JK$oex>fvFF?&iPpAM9ovjF4qbI`_~>Mz9!>Gw-e2;xaL5_EMY7-K
zEmlQwWwE+P$cbeAnzFI77^nD;^dZTM*w##23_1f}DWZW;g6M_+Q|B+v2Xi<rYOo$d
zYD2fD?+?3GYqpY)hGWlhRMHq)gUi=XP5v2@7CcgpU}=twXTKN24d#rB$L{7hZhK?w
zxW=r|dh5vh-pj?c8-Kq1@*8nWp0RfrTv!`B*l=1jg=6v_ui3$77xg1n=VzlelxCck
zI$I96<z=_mJ#U^H;3l;pn8i2~)tHmJFbD(1M1Zz^_v&0&>dH4RUs7$pYGnk1AjgTL
zYc>d=s1%b9p?riOs3S+3m?U5mspA@3QKI@F{%<jpw*JS@S`P;0h9u5?re^!O)ErH|
zuz4*SMg8;anVH#oiqFr0iZO7A?^hf$SKd_5bj_mXjl05J|2S$JDrV$PMOKk4n!4GQ
z9L{DPM|QC$d(<m6=ct9W*xv9I)N8+F^T#xz-%KQ-*Oiuw@N{b!*y2!TXY0Q$#Fn4J
za3CYR@y73Q2su(Kx+0_M!2`Q{DP1E!ixg0x0bf#+P-23fZJe-se;hH*q<Xs!%Ah5~
z>Ma_rcN;D#l04V#`#C;szjG^B@U`7Wk2Uv@p=JE-(?dDhb%>Y0!{#{ndc)83`A{*Z
zdgS;-t-ALIl?jVBsw_3nV>E8hFfs8*Y*od)UqE84R(4up%O6l^bvY8LyaHQoh1}@@
z@GVd)1GtYJQwBzm)id$8Drnnyh=IXtT=kOkFw;9Tj-?j6GYs;buc9x|rlmgJ4z+{i
zczOHWfHb<_2B1H^0|SQ6=KU<se0?X;XHj8S+5vyOTyWC<=w-~qEt_O&%ff{~WX~QR
z6Q$#a0Lzi11;yQX$}t-Kot25o1YM#~`1g4qRGU<txXk@rl)9K~8T9R+vGqR>yE`+S
z`80TUZ7esgC9^SnUm97qS%2*I7(5-p1rh@=yEA4%`cSC-H(F;<211&D5S1il@-&H7
zoyN^Xsf0bQ`P8t{H=VVDKNIgt3(~U5{j-@dQN`tJLi33Cu!LDzjC%K|(5-}-?Tt8+
zo*&ZDhN3hpq3cmQtoJEU*-^h*L7tCee;)ykW<j^aedI+0B{$|hlWBfOTISM@Wcx@!
z<;pa`u_y)G6E>_pvOcq-vxJk9hVuB=&!62SOGz?v<2tV3LY*E*<@Cl;VX0fUa>&?h
zp1q&8qs5Pb%}i@CNFta2yHeiVxTy1F&Dq9nEfx1d@^N4`9^HWG8KfW|sF;Izu+L|r
z_|vEBxYAS>v~zy{e(NpnsA7gJ(Nkdbl3ki~=H@VaK9zpsiNCUzjCSYJLutI!E3SvU
zmL}YI@1}Q`IE=JZzH~O`HsmmQGX5`O0eZ*A%*O02g(7t#UH?cljfV+3NwT@lTbamv
zHt*5xUsqwnmwfgI;y9A&8Ml#8!x24{qkdvewi+u(U{)-?u)GU1_8BlVKiIsd9tSE)
z^x^v^4m-zCu{vUK*G*)A4-#Q$2hYla`2WdVgq5<TXB35_^4UU|W0RtVTU%xZ3e=|j
zQ_l1_DXaX{yq%W1l2YOiLq0R<GKHKg3DV9idA0?}W&HXmj9jYSc*xScBd3}BAiBSw
zKPRi-R!GNO%RDh#b!V)_S)?>(Wh$6rN9SDSX{9fThU(9iLpkzU#D#FmHAdb=`8otO
zL<5eb;Fcyp`GiMRhb;^|ITe?1G|*dR)j9xXhYSVWjfm8?B1E)_TT*XU&r@(29z7D|
z<AsCO1oNmHFG2XTW+&cw=_t*vsSCaJa}0_~wyqW)!G|CMr^{Lg-=x4XV^sZ0U=5WV
zw{G7avkVTs;I)=^irln-L1S@mWZ=*dfqyt~I;eW%SyjwRQPMn;dRT|sy0uLOiPIkC
zkERA|_EbnF!B*8dmHGEgkKbqZZHe;(Z*}zdR;PY$+fdKT`CKD$uYBg4&2zjdMgmT2
zF_7U6q%_&>n*v<krFR<}#J8tj{m@h?8YvzsvfrrxWQdY}!+$TwG8@-gIBd-$7)Mr(
z*(FX5A}pc{NW4`Cji+Q11wo6P5u@bnnSIL~HKpt3b2|OHQ84E*l1cGnJH?$YiRG)m
zRhrvlYPOc*^DYOg8Rx{LY}mwS7K=d?M3(AdwLA*Ziv}3|I+Bt{IhS8Lu)Z;Pm(7%F
zvhT0oGEP0WL$;V5kFgC)sQ;8te}M1E(ETcbAU2sFPifD^;y~2w2Dyz;D_`bqzQMt!
zylh9pf~3AASPs{7<swkLG4d%0kF0P~u$SySNt*UX=w7ax9Te(LTy>9Z*@m`V9N{|c
zy92AU?-#C+lDYUBN6V0(+a|_JG5r#s4VyQ;M;JY}TbU8fu1H?SURlX?l#I`C#nk3V
z0D_@EzJxZ!V)hTPweLQ*7-kvVzW`U7b;-<suSGfE@$}Iwz0(d~Q;NC@0=5yV(qp&o
zs1e6qs#<bn+tcjdWvu?XF->eL9Twqh?uXysCfb9KhGtC;ki-xsW2Q9bZ9%BK(aP<c
zH@^mKu1>T#$mNA_!EN&4{|dB!9PTa%+DMwECi+!1+U`EIZ}_Q&knwEbo`Y*vQ0A%V
z9W;T^=L}hg;<})I-MgrTKg&YBw}5GUm77NQ*wAaF%nr}J-l&*-&Nhlc-Bij~Ts=#k
zwK%bsJ^Q2iY{zbhM~Nl}MFrDNQ;Wmjyoef}o05j3lAN9h6sXqo7Bk@0w{iz6GYDyB
znu`aU$jy>{&iHdAKi4N4%7>hAxQvoW0X3LbJ1hS00$x1!uHPCV+{5l^eZ75F)2;Wv
zefu_v2Wo<%O8VS6pLRIAuC2b;TN$D;M4D4(Wa}5pMyCm^U;-RsW_EDu*RS`vVid_1
zMERI+bL(3N$~b$d2fN$moG56)G`a<?FPi&>tgXm%rBKGdEe@}q`mj=|@0!Bpk}vCD
z*4zCO853u{RyHHR&$!Csw{iw!UD)GI7cE}$tdzX$&7;NA_Ox+=mHZiaFY9pD)&a_i
z-?6DOg|O=gDy6C<+8Sq5YPU*BEq{|+*&hd|;r2P6k)Qn$q$JsQ+Tu`iM3ZY<%)M}Z
zjn);Ea2=8;gdi!ax`7Q)_K^I*x>>)DfT9eP64~87_}grZT`A$NpxuXqXi}$UbD5cX
zN9I?koUJMvMkl@Fg!5h7kgS<AVW23~@>NKT6~kJltJ%-K>0#1sHDUVQ?_<ig3Iz5_
zNIdA{1`M6P<$Vs4?$Om-t4ZLq`dEPy{(P<b7XG)J=o&ocVQS1uW9o&}JM_mp;rk#2
zq#2}wmDK=G$X1}sIadYr1&|%#U!<j_-{<Dy2-IjIQ6eTz8u&3#kwQnRdamSo(a(e&
zv;Hr!Dv9Ghw(k+*k4SIrCOIgWPF0ePiRXF1jJvntPiRBmz_qHtg$MrjQ(^DrUPEzn
zWASk*=pT@PexgSfjx0#EBy6C`<loS%95yoew|qFuKXMrrbqrbF(D>Q4bcMqB24Xgv
zDArjLcvkpi{ttN7EH&M^vnBkV__(stV#jYerSfJ=nNyJ#)iaNN5}NItD`7!BP-aE0
zKPPK71>{sTRcHH2P-EtQR2Azh){m}~R40<VyGPd>{d{mgD@scH<%U{`wUx0W_gp7`
zeH^2Ely$RkU}knU7K_iZ_vu+hTnU*{m~i0or+cl*hf)Yr1p&)B|86$qz8wDG0`8I5
z&S<@cYa<>J1_aTOS>c42AzwZ<E2Ox$ZfLY)Xi{pBYW_Z}`Q^(Obr`^)YYs<xYI6lV
zKRDIWq@*-A=Zqcbcbvd`h<`<9018J`K!-O1-MTU^YYdFf6cv&AA&dxQ^OS(j%|&Yq
zF`aVs>yeS)&rO2M&62k?F&)q07wk0;=;Uomi1;?kxBL+-&w5Gs)rRLCW$qop_5dY1
z{Mu+F)i{5lNrs;U33B697%!MCoLnnp(7&a9X!&0i(1V<8BwIv%ZKa^=;;pICW(A;G
zcGx0qVPeTG%il#wkFlA_;r1)k*<)~D{WRm~``^{aZNmQE{$JYE%uH}^xcGk@itKvK
zrS7r^GNcA{ifUIJ*S<H*x7z&X!pqUQ5C)E(G7R!yV2_KvmR&g6FE47t&0iTa7IgW*
z#3}EQfwBEZqfc6GG`*-uBW|SQf}S=JNe$7EYeJrD;pye|JlWmDLu0+NjPL_mK9cG}
zjA)pJDs5#|$tqfyf_bWnJcq+wmllU1no(Ls|M$aFYWJwDy>~OtS0}Mk<z$|=osL@@
z)6y~PbR^gK3G{*x#r2#{_cY4TpbfB+p4M8+NZk5r#qA}q^bz?UItOBy@=<G#whx&R
zdx{|NY>{a^Q}fvj?4IzhuC9^sN8a9c*Z=09P@Y_VdyZaq`^5_=&!Zn~E3UfwiF2>X
z*K#k%L=$Ec3BkpX{QP_Zp;h=FDeNn3fH8|Iajq42{PIWE*Egu>#kh-bEDRGQ{*fa<
zIvaX}YUD%3A5Hca`@JodnWFmN++vFP+go{8D%dWo5URdkZ>y=vz+k58)Vy(ghwCfP
z9WP6-q2H!VPs3Usi!^zR{mJRJ1`24%d*=6K&fFc5fEu7Y=6|*ob<qe*O}uwdj8c_z
zPPrLo5GSVVZYTV#c~oG$Y5_395wVUOKM^Hf4tej9_4)Sp_R%Pci84%yqkPr<jE~^l
z3EGHTrlVyL1GqH^@Tm^v@P%1MX66Xu_{H#?M$A%-6L)a1+Wz13lAP@>b=xGsx?noO
zKdh5Dxbcy1Cqg}Jjc~EZt<O$?%?0B{IDqO!7-DrcnIz^$qIu^L^L+B8QS^I`p8I2g
zvkVlwfioso%WZ11H_{@&W=xh{sOc>$7Y9dI)|{`e@6MLLJ*eB;=>zgCsv37A&65&3
zh1I1ldxp-MCwGjhUebzXhMYj)4ga-L)uy|esjeRnj{(SPxi*%ajX;O&tYzIPCF5VT
zsDc=aNru}I^<zk5LJTzt)E&xcX%h3Lj_t$Pu$&G@antw`(x9R++f-}v$ac_!cfXm*
zei6P)g$Abe6K18c^6k6nx%}WL(jj_6D1E_Wj^D2$@zi+z`ypJ5`pvrseu?~UJrGwm
z#yS*z&D(j}jxk!t+g0}Ecl@#Punm5E!;$^tn{Si97+Q~-Rc!V$RX8(s;a+%qQ-LJm
zgkh*?!ii%sYh5b`gJnH%n|P@s1~gyrE8<rl<ox#&bGa~)!3Sb^5Ye_$HwDlt|E-K5
zrtB|u^9iQuaQuFoJ67ey*vw$-Qy-sKB$E#p_%i`}N5@!z`i(nn9JQ16K93RI0)ngk
ze7}uuvo2oi?!V$UM2VI*DijW_GBm}3)9k{Ql7QlJsn%fQXCu7<_bWW{YYgPJ&i%V2
z3PPCI)7DR(Og&0SKTpf~si0n_p$PX@W@oNT&Li#Zx8x0Ku)abtYZJaUISWz5L@Cc@
zyn|js-~`!4ZZbSbF(4HfLf#TEo$bKx-5<HeNM0sXoXUt=7lcI`H-HHEmT`|*cw+EX
zF!smM!B}QM+A-^zQM1~bf`gw~Cd$lteD;cSHGh7Al7zrfSpaNpetz@X>ePgM0d%9j
z*v|@cFP{2K2?Mvw>h6Jg`UYwO{aZ?O2B@{CCU0clp!+p-<2<`<*pu2*b;ky~ErhNQ
z#FVgzS24LAS%0kjKBEe6%Q-o@MvxX$SW_CSwaMg7(o9FVYssAZ0%c?z9-c9%jiJ2g
z9m^k=;`X@gIVLcLvd!kGZ1h-lkGRQ^yl_)p@*JRZK`6zjJ`Rrb>zbjiR1!1-Pgj0z
zC55jnOu{wr?K>Djve_bV1!zxYPn5RyPn%#^)y`RIOh(tV(}6ktRO{bglXU8~>0;oq
zq_on$WDCB+QCYV1TM|v{%x{N<h0XpRqr%Z%8X)5osa3a(pHK=ausz6DSH=PfId(Df
z$ww>*^f=%|MdR_j|0m<^dQskA^uf!M$j_L%dW=jotc6&ce2iFbj_c;c15Riw#1d@)
zg>w4z>GmJT$wEd65eL(cNUFv53dq=Rq8MNi*M>qf>i1g7{;r{?r*nsyYP`LVDHd}Z
zZM|Z3KY#jkG*rHh=8Icc#a`Op7KR&x$8Y#uF<Y|BbcVE))E%<*P(^5T?=zqQAfTnG
z9&83r5lJLSjqbxD(w$h&gU8cI|AwP#52OlJ6`jUYJ?3}9(Owv>zK0OdvhC$l9|)TY
zYn`Iwb3gcF&4b=tCRsx^c8JA_1nFqh;hKI`vws8%J<Ci<N%V@EP4U2hc8<Y9*Q6!D
zxfj48zQVWex}6sY{=t~3(p-b3XR$5uUH+)@FXoA(=Yj%Mb_iR(LTW&d->y>JlMQSW
zYRmtsOBqIAEg~pI!}Xk3<5<+jHh9R6l6BB{H)f8)Vf{a?TSn@ZYZKQ$zY+nni9UpA
z@Y$X<Ue~ctA&*@XMk+1BxB(QiD;!Y7JU+sZ+We%qD_#}f_Ly}w9fd<FAuex6YsCA!
zA)O2Rtk-6lUU6x2lx7vzh^dhns}C5=5De3kiXka`_zXO*E={Y0knnQeb^fOZu^)hj
zHNxKjaY>-25hjN?4#z~rZ4^O;&Ux_fL!h|vJ4v47uFD%L4q4^yKN7K=?TPWLJd+>I
zBMa<NDmTCpyn0QRdF7%x1~PsPEL%c?{nrPylyeHG&J*WYuirTVd0qIQKYv8oQla|o
zj`S8Xt}l6=_+V%RU3234J!C5Qsn)-TU6MjlSbE;5hJu&${jZImQ;wb`N9uF`U{ej2
z?e4UrhgTmO>v(&mQXcIk`N~j;to(@8UyqVIYU3NVvN=%rRFohs$%ft#F?Tusk6KGt
z;k58EU`UACae9=u(PdII&QVVNt;F<wqE|0C3N_^w=1^LO{GU}ba32l<%D}qH3~ot(
zd;l;Ylruz@!jVT^U$wGir}5UZm>KW-CfH}nI$MvvJj?h@fxw^b6JI)KZ#IjcF5VY8
zlLL*vTF@nA=W$C&INklnf|HZ;Go2%UQ8&auk<eK3Sajsvh=2rZsOBtt11yDc;9@gU
z4lVy>K=KaR(XPv^d$mcS%L#htS&VFtFIaELd}{|`jD*Y&GI&pBdT|{;j%%p`GtY8U
zY(|t-?BEsnj2W=L{iz+%(b29OXEU}d*caTp*%l{!dyg43EwkC(>O^mFUG(oSvYnXz
zU2iBxrOK|JYb-ppPVBW|zxkzGyHD;~`dl7@>#I4dUpHabao^)%#}kj|^Gxf7?<Wxh
zC^iyANpSpd!t%@Oy1Z-GE=NR|OaZqLzD3_-AR~DWTAXFZf-_R<*$T<ezTzrP%MFQ}
z%zndH-g)C17jWq(rH1(b+3V$>d0t`hxL^O8vlPkMn;2zhA~27>%KT3-nJ@~)<wfY%
zL-0n1F^DR2$lea4mOw<vjWN2Fm$lZNVmNv*p=i&J=B&(tP857Y6U=LGR_%8+Y8fsh
z&XMuskx3Uo<}{$aMv}--q`UU0EygC0C@zFGG@v|7fG0HLR&qJE$FffB>T)2g^WQrW
zR~pNv8`&p!K@+B2?ap<Pjh+3wU*2<WC27z^sR>1qD*b^2Akd~D1LWf4t88eep=2CK
z1p&?TQtXI-e_-Owe8fxb%a?1XnjS1wfM<y_Njo#_keKr%7-_RawDN>$$Bw}M1psZf
z|9d}`T|Gmur?ZtWH4U#eGwDeWxw=E#`WfG6g`A(tq$SN-ti^Gh&6i@7*AZMCTot@E
zJptNZZbYxy6enFR+;)b%XURyz#sLh2)h4$B>ZjmiYzEFX(2Bl3d3VhaCW-_s+EDmK
z{%gx6afkN3u3_aF&TPD<Zy3;q+do8Sdhj{B?ScPp;!5NYM#AMZj93z(TXG1jh;#En
ze$J0K!UZU9<8^-t)q#Zmyu+=ouc|-Fn=LN(%Yt!?OlTaR)9OksnQDI>TWWihtI6-#
zw?=v2e@sm&5vlu?CwMHS&mrhdfqn=ypfPwt+?&rp7&*l_U?VhsW)u+r|4ylR8Om8;
zcx`+fy~=l`pl6IBo**1)a;@8%k@taS`~oJ@Nqfs|{*Ajq^>qj7vB;e;bPl%-UuPcw
zL4B;$rL0iSc-f`IoL|y`-T~G@otd_p`C9LEPX|sj{++T-spXOPKIqt!M>nifm3L)A
zY3*)7R7hG6WRv2(9)IfW?4+Bv2Ly{(DP+=lFFk#l*E!xH)FE$1WMZoSME|V}P~@ZU
z`nM;Z*ua?amsVJW_V&aqEGSa|4MlBaM<LXWbE|@aQ{ChNMPEicVf^n#Ef_n@vSaPB
z1Cjq^uACZe<Mn))Zt?4e%b*pjILlk_Y$b(CNp`~iejNasY+M&vA^WJEfI<07i`ixC
zlXOh5_@U;R*~soXmfD2*gVC+xiCn@LbL_1kEH9<!d>jGl0-auNw>6oglgkIYfz6|V
z`nI#fL)jaPC%?R3;A_2S&CM^DxRjyrOqs3zN8~;mo#*pLi=o7}^LxCViiz~60UAH0
z;zHKQ7my8;`58#&c`eOPcx!SA3MvxJ0Xmg9+(}d{y~era<%z%0l8G^=Mz3~<`{|<0
zsaKI}++}dD&D>dtn?qF|4uh{+kdTF~y2PD3cP61cjJ|$p&eODc3{gcS{2s11ZWX)L
z6d(G4kN1d9668dj$;+6lZ2dhLxE6s&Vgf;I`ppEa`AaOvOf%-EjE3L<xSPLn2xrT=
zi7eu)W9|5h(z+%4&pdf*R(b%minv-@)r(_N-dfde7L7)_VS%L~4NWhO@$X13j>j3_
z_!OAxSOAH)x5?$?=db0yV-(7`b7vgHL@|=LSAbT1S$Nl4;4Mr))P9<Zo#B{O1X)a9
z?ceZ+F7xs^m@h@CFf%z~AX_SYU{NV7?Cgp1;xqr^j!ib^W;&=^4JOZ$&EWX*Su2@U
zpK{Zj2rB6emUJ$y%r+Iiq20bezOf_efClbTVQm?i$Jm8-b$5h_A&ErnA|%={@MRb1
z_vB-v@_~Y1xX*N*i!8VZ*~HD+$)O<e@4yo6u4hv$_vf5AQJ-wPd0}34&s40IDjQ$<
zb77Z7Uv2daErN5(x61Qy&CGt|!!eacS42(~_&9IuW84DZY6pPCN^Wz7SVgYP7I1%4
zpBUw%aU-ik3bS#2@86}2LSL9^^IN$dl}u+yk5BI6{QBvhyf?c<M-0s_13o9r%^Nz#
z@rfyv=r7{FjT01lToC{hu+b`Nf|~YrCf#GBLB+DK3t5hsSd^#ACx7m5ar5Dk5Na|F
z5;Xc&y_E-R4JME5aTg?Pf@o`gZT7du5Dp5^*baD0+gPPC?HKw2Wr(V8&fkhNGt*b(
z{8Lz-NVsG`Ln-}v=v~a61;c{oDtcDk6Fy@)I<<5LL(92vsIN_3{!?(LNw~UD&8yIL
zS;R+J8SuKp0HsM(z^RSQlAr$<=5Q`udf-c}#oBtshWXoRTSv!c8q|3^8O@2hx%lCu
zM=*wmq#&b!MSMSyA~N5P6lO#BT}U0wum6B}N|#rzka-Sug7t)bHTUm2s24+^T#c-9
z9(?Ulk6SX^n1QmBD?2}3+gwL`f;}cNtLR3?O-qK;n)Q#?+g&ed6H~Y9y5pNjoAqOI
zGUcOx`HCm#cd~EkJ)&Jttk^q_nO<MGRfQF+X@-aA2)>Y1cngRm0)BbJ=H-8{FI=JQ
z_dT`l%1c%crR8NVmfY=mF;ZrcuK+iXLW|%8j=%IYy3n<2TC$%M^8t5!m*B8Coxjw8
zJTU@iONvb6tkdBOH>8u-W?>>ZIXsGGajzYQB3>d$SXdUpO>fV7r!{u^9~A@Akk7rd
zSG}L$@;B`}Wjho6TE1g(m*J~>?C(p>koqoiS}@XjpTpu(CW~l7(_~1F^4iKzUvIb+
zY);5YcqzhgT}pNN(-%}Um5cxBx(n&u3j(*+t4pJ0t9M<TU`IQ9=jFN*4%MfBMd`Jv
zaEUlZow9PCpQc?%8HqC+(|jyn`ye1_Qf7pIhid*{pKK7Iok=u|Bg7IiWG%C60?F7#
zzw>esY8s1?4Q(}0f)gxr<Z#hyeCjBOeWJ1bNoLM1XJ?BYf+S^X2#cm3MW^e9(_bqx
zp_f!x>$;WFwe8xkHA5pVsgtdhhjZsz&3O)1E76BMs*CQVr|LflyDubLBli4PS&!#5
z2X-J)YC{mtO8`6Niyl0u|NU2$T{aA8f1D+~%GQgmD2h`HB9JjftWQY#cFkP(7h6W7
zCnI(FeaD=ccVzr=U-PxxyE{&mDP5{a(W3E8PmTZ2nFS&3MMpUJqe1KpgYQZ@h9t1A
zbz~@~b(L5Y@|i|rry^C>xcjFbBX(CCO`fAW_fBQTT$T`G=TVG)1xKjJ<Z6L|&?9<h
z0!{Q;jvDt?r~O@1n(+z^E9fStY6Yx?cy<kaz8Y^gtf(K%%=GJ8SYWJ=#MkbDwd2YN
zuz`U!A<O&KmF0hCE{nl(L^NWuaTpz3NZJ}3fa}8uq$Yf~$pT;M54TCL|F|EYaR(>I
z!2r(HN++Vi#Fqx{`LgD3snV4*@su20@7)+p&kWDdRrymeVB7Mzf5FV@>#Vj;pk@8o
zFwt2OwMVw`$wb=AUtaJA+4!H%M<FNzF&^UYP$g%!inu~&28YEz)Fd%V22V2OjjVf)
zu{!6=JS`_hM&+Fs6*b?K%_d8H^9>Eim(`hfK6fg}?_$s|hrXeweX$=+K>Af9<2fGc
z%Eeykt$dnE;<kg;AL!_hT)hmMfN!jh;CslnAa+8)*~+M0m^N+dsulmc2Pl?0PK9r#
zMsq4!Shl>K<P&+6|03!u3)5wY&PXI$`+Y$S1(UbP`FY=V^lSHU0(y*B7@Jj*^#pKT
z3-zP;<x}F9Eu!|t7bmt=e}`iht$y3=;5lfyl5M=EN)P)g{?|^qJ&sladHhCYqnHSf
z;yc>&^b$*%k7#%NsBrZ9t|pu6*$*J^cJ?Kd7AEYa&nKQ5baE`euZ*JxV^3nPRzpbu
zu&$KuhvogRUsb(WMU`>U)j{<C=06GUle7CSEdL9iUH+@jY4Hry8n(wCpeE*KMz5EW
zzh0d(CBmX7PXiNC+evU;F#AUUN7g8!b6Hxji`ULoN1c^9=H^4XT+}^8U~jgtnsWBn
z)UWziYl>2Of1VlEih7Wfu&&=y=~5PHd7`RRhKl3&Kffu<uS+s-VdISfURxSaH^t&n
z{^lRXPc;BS8e$X%Vm}^9_y^@LG9WIZ;Ryq;y5suaYK}rVqkH3hp1Q+D2AMzmPp!JA
z$;|Y|GwVR{eS3^AP_wQD<tOu!X4lW3KN~fz0E4Ythl=ep%*~+H6_J}1SCyD!9=K!i
z>iC6`j9<r__`QQF7Hsd?K4uXbkF~uV&^ZmV*4Ex>`QcE;U%5Qo<lLSZd1qm?IcO*A
z%jjKoLc>+L_YM{0`tfS~&YF=-p8ik15{i&8#F3qMgmR*9Y-}v0TLTn6Nx%da*lroW
znKFImzv!Woi#uLys44dtj<%$C)o5+D@6E|_&Qy1jJKIc5ze53B^kgBz6!$NhzJzgl
zN?RH^Dglb}?rfCgEzJ@i90ZFiCge&TXUV@TVJd!=IX?TwsWU+41d&=|Ggy5RCHali
z-d_E_FVD_m0_i0H27UBk7r5qaA^sjlHPQssSF3&B-#?YYmnL*jIyYaPI_=s?y=Nj7
zC?I{Y#Q6Esw|N4LnqsD351Yt|h{28g4A<zj3g-QsoFeh<z><aIc`0slB>-yBt{5zI
z2(tW4+_2(ESm)?D8#BuiP(KOKHZ^oRgSDk1vVNe<`GQ&1t&TUR*QaN!*|_}Mue^+P
ze{VAE)>8VsA=Gj*<CDJFF&;$;3sI0gw?&b|kwi;-91}KHE(g*UnEm?os}_C|OwCE5
z-Z?(Dg^}?sPI)aT;ZqPF)01LLBfMtUuH_%iQOFe_N(D4Q6)C#$wWabQc-E1TRP{8`
zayWY^mf<kIAftE`1vY{?B9W_e9y++RbXtlncPP)ru&L+-t_2e~r{`RsEC!w0ymjj1
z9W!EWt7x~E`T1~Z>lR&?en<yexi{1SCUJ0bDr=Bo_uP8Od@2f>q#J9Yfebuu9Vucr
zZn}_w8|o!B`#=1r;LAV0zEee>D~Cm{rly5HD6j5u<-CyOJC*<Kn;mzmq&<og0&_(O
zasE4t1f+T}3pWR=cSWU+;PfDkB_6J=I=Lb*gWy|0jnw$P8eDP0h7Fm`SN#)@j93vz
z2=-C+3zt0HTX2x21(j;5ESm!<C4;5C8*5W;+bAB+4&xn=myxSUo=Cf1d0#Irm_0)a
zRYsmUU$ttE{gJ!N*-!<n5M%h|&GfT~&HpHri%*}xLnnI}gJ!?<O`WH-vH$O(pDJbR
zdV6TDUNJq;-PCMA_m(da*CZ;l>FY94eE9r73X!sf?*M?Ii-_8LM^`5-1sy9GVGGhN
z2a4FlV!GXs&%_G1>}Z99QT-cYqTYq@aOot8vACKS*I2)Ew5g#7Afyxct7=!#r~TS4
z<xNdZbba<jfnL4o>_S{V3y>R<Cqiu7eN|yP;~ZRE=Sk^@a{MiB0tlIua?<}2xD@`|
zAyK;<oNISDzc&q2^5J@0_WU0%hW4510L;+l8GHksiTRPvTcYJ>ib=1;aN>s>rk)Je
zr#*t21^-cPqAD^;6iEjBP15K%P0c<Fxlcc?FYrk@)~7S$&$Z=>3j<PQTIsUi6U>)P
z#-eg`r7rMK+YHx#d13qaj%kyv38o1YPkJKVOPA6&Z}9nA{WsReQ2l}iv=>p3_zq+p
zFGaV}c+GkF)Zy53*yN1txd$<0J>@N;P%=6~DL(}$YXstIIg_mgA$sn|m$yMl5{4m7
zs(bt*0=LhL?=RRk+&moRyfmHL;>vmEt%#zJx5_N{eQ5t`h%I!Fn1FkG9ruc^b)brs
ziL<5f!NZ5|j?D$>VNr@WPDa}Vi`Yoxiq5kC`35eJ_&XBF+n}STPuoHhG(iwml=-Q2
zD>5&9u%jeBJNx3`uxhH?c#OY_Koe`jy?pv%DbqU_)-K#s4DOh*@oso2ZsQqk*S;I}
z3+K$QGT<5Dr*VeITa%>X8R^K<1i-Gzg;WLDbQ+-r1u(un^DfYRbq}@cWURDF@}u<W
zrO(TfUZV5Z6y_I4%R@g{md{||X}M{SiFDksk@x$y?xv<#r7~^<^N%rgEY=m)$m?!w
zOH3y63DP`6(-qQjj8foy6hnQ<Y5{Nk2FU6Mx{b(VivoIJ5MOhoX@A93J)SWYng?S{
zft_*^2HcqT+XR(LESil#@8?_!XAmp!F7>ZmgJS0^^i`gCZ1!}T*QYT)O-s4@d#}y|
z*?I-u3u-2#G%6&jAQk1!h^_I1AJ9m~L#3z<&uO>&^4jR)BZ=rl#|v$c(dzqq_wN_I
zb^<jD;rNG&w(2N?sR^#-bQ3-Gzgwod{7$&I&7<i5qw2fkv3%SAMH)l{`IL}Kl9fb8
zMkIUh-9XtQ>o!v;WhAoq-evERibP~@Wpf+ZEBubrP2cBt|IzFDyk4H$<+{%6JdfkO
z4*M)T{;mGgAd>Fs=x}c)<F#6eL+S&%XOr32@L|mo9XqBBpj8F|o~4OX`7O>E7j~OW
zU3tB1-h|Zj<4j!DJg={te|{14X4AT|J=z>(2SQtM9f#;I0u)gKEMYr%s-dH6xO!uF
zYSs9%Wj%Q=56F-ql0F4AAK$1$s+h^Rz&y<jluTn!R{&`C)a-C<BVLtGkL{2<>V2WQ
z;%HP4bMrUs$-?_GxZMdd4JbTP!IUCtf$#>IAe7DkvYdz>Tfi!pLDilHm6fa+C7yo;
zIiuodqIcK5`0Sy{&)j>fcivsB64P5vPdv$S)2RQxV@I(Zlnx5Pr<NqW78cH5Imim5
zyr|G=iL4I!O&2+@jDRJ$K-ll-iCsSR*DOHmk3YXWY21^Ss_QtziC}m}5o6<<Z_e>3
z0=V3cDsu=5K)$BJ+F`C}T*dFt%E=rmm3ydD1zzZag53E!2V}TiiSW(IM|vZ?S-QF=
zExEiane={~s(zXtBcpG>wCgB>+^IstS=~%vT`GI~gU;cm&)O~xrp*%r<)skc9EZTW
z_J%_N5G0{~TLtznC7`kTL_x+v0Udi8Qq-vW@8$TpEiqgcP}tcrD1@jZ5urL3q*Vj&
zVH7KYa7VUYHUwapfPY06{LT=Y4bhqsd#FEL-5DWOJvJ05)L1`~lj+k<<vY1PS9q0<
zvAclF&2<sf{(2OL9;`ToxF^DMZv(0R86osn;hl>Ccz**Lq)g7NvGT%PG~g(WZ5~=L
zzDyasLf`#X!HB$xA|>=WHcfXvqM*Qf=o9_&1}5|U3~BD(?YU^@pN%XZukYSaF7;j?
zAw3nKc*CysiOqk7iWd#dT0Ad~2L=Q@;8*={@AfiiiwF)KlYe_bRJ&irgiZ>YmNuA;
zrIM;Bdf>pyp<4r_N_S>a>;#IGs-<z120?AfE#KWMh6=Yg+VNBSlfPG))OmQwWUvM@
zuT(h9)ZB(FuvkbWd<wc4t;N{c8*+~6)lDGw3_u=S&=hm$&madmh+kU}d$~*6neBZi
z-aT4D3pwXLp!SsuEc~kcwB#mV@x+z{`s-^^RW*i`pMyk%;L6G!l~wSk>L8s8XacM8
zc6aq(c!rU)N^<;(0MBdA)kdOu1Q^&ImH{VVg0LQ=8T>W7{Z>Jm9`K0EOIfir`O}f-
z%aMWnk;hbe&|yXz^oHqQ5VbzED~vCtTW(8He%bdWr~mg9pF<?ZC1162mOC?HM~?&z
zdqAWc@@2!?Dk=$I`19w3uoN`$W48C{kliF6;Vwu#4Hjo)6H~L>TW3ONKgAC(E%h~?
z<+6S!t6QhNXm5A+gd%t{fp2LD3+Jr<F)0c?1k$sB33Up#uP2yIm<sO)1D`WNVZl@W
ze|HUT+VQPIDFdxldbUC9yM9ik3O}E`D#$<3Cyh3!YyJ@LpuRcOxGZc9GIM!U*FupG
z$d2(L+{S+x#Ihx@m{SkaIyI*b7vqF+k*jNNRQueZem$W>wrxs`T2Ju1WFJuy>2Lk0
z<P8Q%_S$EC1o46z%;oCoBORXyI60l~nYFXL7nyzVeV!PzP}*p`(>)kgJp1wiSwMyl
z6+m=I@6iSk*@eW!shas|_yh!_vJH2Gfs;=G*}w)Q8z6zxzuV=OFcL`K2$HW=mjXqp
zg6JPlA6hXSpo16*m@*!z(!~JhounLOe%xy`33up$6bjz_82|{7jS8|C3S0V%aJ2#+
zo?GwmTl&|!MtZs;XDJHJCJ@W{Y%rs<_;n%W!Q<SL@U$q-o=pRkQ0q3GXSc-z^YBlJ
z@KBVYOIU&;!31h$fGMJ3Z?(sLXAuG59376+0Pr*ERXE8~)c`z%1^x_1)o?q`u()9z
z5})97VM0mGfMHUQ9BpeIG*cZ(ywlsGaRMVO_CvRgp+Aig=qIF?hXPxW(|e?OWII29
z<K7DaodUgZ->6_dZVaoc#dhBJDJ9tZ+H-C1kCHB^K*S}O2LZx=3@s({v3#!)CZc4`
z0IlBC=T~GMmjhr}Z1L;5I&nzM(1GCYOyukWTvvnYq4ZvYA|7|=_MgY)1@>NCG*A2-
zx|U9yP|SO*U^CtI69j{D@E1QMe2#V{`k6tn2P0ON{M@<efR%qYbuskAi)79Bsvn|*
z2X>sZS<FlY&!nQ<r}PTWpqnrqmCKDO=!(Kn$pHzHBN9Pp$sbJj<V!&gXT{VL04`Aw
z6ZknvX|-EdK(68N6Ws*7Gpc|CBT<cs&NTcvke&dq5n8t8;LS<{1un3umYn<aP*O+C
zotK6rS?RwyZcfU-a8CW2geSTxk<MB1$R_9qnLZLc!M>$bK17$M#hko7VDU+K#i;j{
zc=7Yak4HC#vI)ZS7Gio->XTh;UZ*{Hb`QFU4x(dEl0Wz(*7QDI5*tu*Dlk>H&!hVf
z0?0JPVDnspAwZg<Lx3{xla6rVy68yyi;dxI3Jr0xsSaxxvLz4(6McJ$4Jx3SbUbJn
zE?s&I&YTSZ9Vy7jhL=`gZ_7rF6fi^9m|k?P=u^ditL;OP``@zVjUnos;rg~`9PCpZ
z4w+#0ON`^8rY*tKo&*V)nupteW7ZclH?ztIUjlNgt{%cd;Al{~`yKkqNtdh9ZVNT^
zu6XSDaXZOUNMh-P|7Ux=*m0l#*o9qOUUcC9c<-XRfGY#K64b?G3<Z?cKn$N}^Tsc_
zG9gMYvwea8N2nX>gnsEZjJ^1pXl1nWt7Ie3ku#_fD{$aclI1`g3&ZlS;Pgxq(cO(Q
zkerEm1oXtJU`NgzdNg~@6CrkxdZ7$67tnK`1#{FzWMM;+4)DC)MH=jVRM+j8$>i)c
zn{$;dL?V~Zk96P*Lz9>VeMmYKIg^*qU*b$DhNpry4DC}VT7cqWih-GpyMH$P)0}BY
zSKgbSQ+6w-tAMt+snaBX{3-c!lH{3oasDil1MCgXsjGVH+I+YI<a#*J;F=~XFs6Pk
zkE?NW3ou21V|9CAq%5qpKZ3eDI~RAqTPW#$<DeE9rn9+=zLXPa_THXiI7OghnuP4i
z8y{R0PBWsHBh<e;qd7;LhLbH^%XONlbxrX2<3cL40fb)IfFCY-04jJBA9q!Cad?sQ
zAhtREMDNe|m2!)ccJ>>w^zcr%!bN19_XW*p@jJk!Km^&u3uJm691FmRsV*!p+t_sC
z{$RJKb6v%+QRElPp!L^DvvD9fM@GmaeZAkM?;X%pEMPraTT6lZR~641b2ZKSSJi=C
zNgfO~k?LUsVJmX}!525u!<5Xu&uUwRq6^^$X7U?PI7M*C^q)ns&!5u=18q76#sP%j
z`}?=br|-&@&*IqarKdBvL&c5~_@<i!_98%LH-nEd6KE0u!~igV{O4CS;^t@^Moyaa
zv*T?#aL3{x4Y#M&-)ltJ3fZ#NdV_<LeTV}Z7Lr$8dgIYKV^4K@8{JcJTF~(-U>6)X
zciv()GQ>Dl8fcmAte_kMIGToY=bi@=z^!=Hs^6xA^G^|aFBLdg)$D%uNC$vX4ybQE
zw4sAvWYiZVQE`Ab%76-~69V27Abq*C1c&nB36+osha}9q&UQKjDRk-l=Yvc;*UFw5
zl4hk};2{Xq#TRaHngwzlZdT?~rG#;a*F#zZMCJz{d;t<TP3zyFtUrH#54r#ePpZ*m
z-$src3E_r)&voIq!KXMMPaVqSJyFesmwdgG++rDb!+nw29R_%a0i0ml^XD=H12){E
zV)xXB0Egs!VtvECQU*^uUTo%5SaY%`*hfsM!wF*<ZanV6MEb0+KG?md*I9EJ<3zh}
zg>fWg31C%4M;F$<M}ic=sAJ>d)YAG@k~PCfmwpFL4{vf6XjyN7dj&Q=)!FlaH6SM%
znzIO-Z^@`3nNpiMpa4@~4ps4=Lu!;=w>b_L!Al@^o#Bi39afvn9o<B0q^&^ad|ex8
z-xWdUwluF;aZgZYQt!LLZMwp<Ct%oKI&_7*IU`a0r7Z*;kBqrEAp&s=C9Q%qGh)CC
zvN526FhYT0;9DDC`ght0Z78HamW40V;=wO7(`phl{d#w+Vlj_p97mD3IbJt$t$lMQ
z9vO5XDpS^E72pvhQ9-~CWR#*Ccy~p$1ovFTlg|boLAjBfPGgWbQS?}g4+R4Je@BO<
zZ(txf{iVdZUXIsVr!PU9<L1cWD#FD|5x3B-l((&(mt@YJIg>o&C}_pdLBsoq+TpoV
zd%5a;e);$q7(oZjx$Go}##%r)tkW+_NJy9ph@h(dD-Aa*2rUREf4g}T^i}!3P_*>J
z5sTCXaEeb)neQF3=HqMY>g9`A^Q{7ohDoz<rX3it(+-)M-v)aZ(`pr;3m<aI)rCUh
zX{nn(#D1iJR<<L;2%}*=4~Y2$U|t<?u<EpURaFVWcK?Y813KT0<=uV_t+}GN-h}R%
zRqNHDLj-uC=5YPAmNQgtXZt_K@v1S^5g+hkR7^Os8M}KumevsIr-*_Cpg#p<yNA&%
zY~vX4?1?BW3fYDc=%v&{2p&pd+>$nr**j0<n))+bNh9*jB7FDGlue!V6r<3-G8z~<
zSto_D9XQRjmU#E=G?GTApGT@HONRS&`NW4)Rbw-HXh&nSRcYJ9p0AWM6q6Yaw=jHP
zG5Q<5X(RWgY)Yl{C5q4Ev>4Eam$C&8JRO>blP6BZfDa`VqK|l;);>VyW<n8ntwm9Z
z7B~XKV9=0FTbha#sM-p?{scU%U1x9K)1G?Z6nA;cSseBBYYF<vg?bm%Vg{y^6;y}~
zDt}u?P?K9R?auO>g832@2@$%GoK{P87$7vC?;Fj4)uJIBC@bju2JR-nzb)AT#ks~C
zF}#?^J%_ZisOXc$cQlH0fVG^`Dom+q@@x1uos0YFSvGhFF~C3OnRZ`C1PdTXvRcEv
z;Qi-csJn=^(6X|ZH}KAVtBHMtyXLxkIqQxl!gFWgPJojOF@t|X!*7g6i%3dHe9UL*
zg7jS?mk_rTHBN{^hKK1^dXzX->sIn*X!t{qw<~<NnpF#7X6F$VH0Mto(92c{X50R0
zahNU5A>0=AQwX*wJW}#!eqI43YT#RdZb<<qy!JslAQs6*P+%%bN&yO9;9mi6$(w8b
z;3qEL%z3`^K=R=i_J-f$s!3j(3|w3`KYPN;OkO<Jw1V~c5qMR6(TsL;d|}yWflLHZ
z1F>YQAtVkP_Hy-M+6gd3!$_C?JK7iI-o1rVl!HJOTJZK<u72THmcb@n{oNmMlU8^A
z)F!<K-8F1)&dK@VKoz2FjaV<53zp=T*Y?-vwg-$&MHF>*0h<Md`-j)B4mpf>@?%E5
zsAbtKpOqdz!eg~Eq_P^`bd(6)w)ha?r_r|ANgg$4QyvEWEvUFztmOD9ZW%IQ+NPfi
zF3;v%tXGRIKuH`B2c`)_iL+*-U}%?0g7`^r#YlrV1f{l*W?i^=5&oMQe1Rg+k2k}<
znhh2EKd9$Je*qa~hWyZY<zQN?!V_8A`4)#9<FQ}7m=YDEb&SJ6OXugWUyZ*{QKX$I
z?jc&R6crK&Q9_1~9UN(Pum6m>k^#^Uy$Kdv^_{@SYb$=Phipb7hIN!90YQDqh5Ljn
z-u0wD4QI|oS2Go+z{UcuuUo}>4_&)6^(nO<;`SjolTe!)6osyfnWQH?c#u1@AAXIN
zi3I?RS&+?(c2@m=>L4M^&v@JW6i1IX|7&+bX))SjKXlq^`_rz9xk0;ARpI7u@?03D
zxj9w497DkCImH-r2qwT}I55iS+K4Z5QLAakIeHxX3XX}{q~Q()I#>UaPUbYa8WW?P
zENbMcK?Fw2w!yamQK*=5eE~q51PvH!horol`@I2k(x`QuD^Ert%OEI1&4Wr6utw-p
zcLnw0KWQD8ohOb4=gon%4eWG}?>&FeF{5>#s}Rk6N9HScVd)!QM;Fwi6cv7I{Ea*X
zIo5B%i=BpQ#=?FbI1Ev88^8}!unn+c#ejKT`b5l@0(b{2_FpMgSA^bB#lbL)(~2RS
z{P(4(T071u01rD*l<i)ou7$fQ|J0DMqX1+oKtGDai|Qs}k#s1|3}*c0yI{aJjH0X1
z4tq5X0BH2-^E^Z^e8a?2hl2RyO@4>1-_}#xqh}$Qsvw`bixRzIFCCB;`_~o1+)eE0
z%II=0nGa{t{U?O$nBvi2v)pGAJ5SHafA`z&I9}`Ao*|`&)+BHN@A#lX_X2I!eGdzW
zbx{O?qm`Orbpuje!^}K%wuN20?+(7Q*?;Gi9X%_%#Jg>Q6x-<SnH)F&k}uZA)gLx6
z2~S>W5glQFRs-~I3$WvvJbYv)0_qPsga{oco4#)+Bo2Jz4W~6rkZ69Mfh@t0Ef6wH
z0hIUEml_LS1hC=cXs})f><h@yx%c^?;^r6pbu}ZaV{{Qjx`5YWHcDB%<)jNTag`-r
zQ8vQ=Ou}GGWd!w2az54Bv&QW{Asml<1Kx#(<Ij@s(J)|b`rpoH8WK8HAkgvgmjO$y
z-e=AS=u(gDZU8zE1JmA`DQPmPB(wC1-yldZeDSn-pD)Np8wV_<`!8qyeEq%YTd6Sd
z@|2)B?2>Q2ys&Iqo12^Iz$YX88@Y7hI4;hG5t>ubpXGfLMkO(X(5O?g4fJf1;r_TP
z>PyK9k74r!6h+ecPpz)b8#(ZHK-{DWxDqx>EM!br>M~L65poB>;ll_@#l~^&t5-(u
z9-xDb2Lq0qb^!Z5Uc9L5&(z4h3r6Bj;Jva@v72xlCfF!|w3`#WUPxKXGM0#Y*YSW4
z7zfGaDs4&}YdaC#*16J8H=srW=BTG*uX5-M)}ZW#wyQCMM+rJxYt2$X*IU4V6OS^k
zmXG8031suF;j9U6(rh4ItC&y`K>({^2A{DBolY*dg?@MroP94<^6(~^&X4rO_yczc
zq?O}obND4f8x#}RM3-gnG_}Z28wQ(3&gE17;E)dB1CO|*#a5XVSRIU&V)J<W^rYq)
z>`Wk;p+oqD8nB(HKv4!9!^6X4cQ=5D&%V$zH?9AI>_-J$tnC%fj?i>!0d<)*yXT(p
zPs;cDF%_w2XHqNC*?8YJBVbVT^;?eS@%K@*G&EU&c#FWwElC_tKIFkHmzpxcyiI!a
z2)oH$@DeA35#(EEr`oJJw6MrejLgw3E{NA*EBoWVyvMRYQ{N40wk5+_Z}5M#KysI<
z(Zlv<M@XUys(V&VR|Ii;#rZ`>?V=A*vEK9Wctb0wJ3qfuNZKt6?g?b$U20R3LoZ(2
zHv)5l{grE12a;pdJq3UobET;?C@|o`clFE3;%F1!`u!7=>g<s2&)T8}3VL@`m;HJ}
za)<irxZ0-Vdfr&G2JE)#t~1t6{;#3hVHv=*@Dh#xQ4227QSMoMQ{ZLZ44Ab}&rKy$
zHsEbKPJ#s<RuD=l2O(BKDX28tflSt?2IrV6C|*#I9Vn6O|J75>hW#~%E9csC_<yrf
zo#dcg?<uEfi@8(B!oLHp6Y_)!i--hSg=2-YjuE|j8|_Y>e$HE!ODC`}U?i5Dp6T_e
zkyK)$W*!5Tz`qnJQk{e^LS!5P;mhWHG&w81meZ|X1cg%Y%0)l}k)R;6(Gwn-o(UN_
zc>(~<S9y6gXX}<4m;OBm?kJ$xFxyc%L@TQukG`+=UjH2Krz5|^h+Q%mM3Txaf^pot
z@XH<+36k)D8Z8C&i!fNtvi=$hbO1NrZny~~9i$H&aB~&gW0I<LrZh@ldV3z6nw;Ze
zT2PEL8(#1KI?U??JQC(ZTF&9Mt`5@aqemn}<<T}4L1CqkZU53{n&frMh$|@;sXqMm
z<%)jy^8)M_ox#oQ$E^5#h@>q~+kHrG`sZ(v!#e$(goh6!HVuWWp@2^ieM59nsiWS#
zLYQ3+J$@r^eIR2zG#y&8bj4PqR{KbS|51ocZY>(!<g^=pLf>!L>=|$Gp#QV#(3cw-
z5=Yk^9JjHHjpu$LMh#&0tL*bXI^9EJ{2a;C$PL~G2kb1bzgmz#omi)|LzV32hKDK~
z=z?ut$Gi>)&t)KtCP@KZ9TU&`V5J)0cr6&rGGISI8N*hTfZ8G#4NB@OBqm}9bG}8A
z-`+lsS5;y1UrqRXW&h~lugu+MQdCe=wU1--H%jzaC>mxhq^NK|Y3T~z-wB66CcFij
zSjRa-{-qi9eB&VSU?!m`HHgy49s7*e_g{J;?h&4gx&7)y<5_LBnn&g>u}3z&zhv=0
zl?8$7Pw+3RT(?v0?Rm!kZ+GVa$S?us0<^TUNP!&uVOail%7q6*{R^VvvTwHqELB};
z{oS32({;XFzZ&&axOQbu5lll;n`1LGnJ@}Ko%n(D5wD}fM~R8wl_HIs4Vs>c`e};O
zEoBbY=@WZ@$Gzm&^Aa1g+0Qo&8x^nx>1|9=O6UzfRgAy0TnvgF)oU-oa)D+t_3Y^V
zs?GF>*FJOU!Pq5Go0}8<S86R(2bL917}v+5{-Mf<>WD=GumeaWnaOS~cDcD27J;`n
z?3PD~h%WqJ(abOj%?1ie2jjD(WO2TUc;PTIh;CyLvY4tkErQ$M>+;IV%8+LaB7M}e
z%U8lwtgFs6@OFbZMFm_@?I5^IftEEnk2pc>#S7e{;TDH%{zj*itf;6`jh%DcCcQ;r
zgct~vNIy=K5_dPzs{8+2_bh6vdOnX;6#<U#Z0eOWf@Jj`hx&4&w>pehSrx2pL$(Q1
z^?eT+)0~PA{7~*)Vp*NIRUbhA8hk<zsoB}tQA>v`9}6emxxR~t$be#6y%y3qphUU|
z-d`wCb|JFWz9>d>@!vQznwu6G5Z$7DKc;$pl5MsFu%B)(99*AT=Q3z7c%W;dJ7?JN
zcL3_T3`>86o)fetgM!!?<X|OW^;d@2=;C+a_<aoT7K-1c$QqIa1A8Y*3<WvQHr8Z@
zl#11Qr0(~W`Tn}bqnuLCcSE7&4SkK0;#N-b;_Au~8#21dubhojP_U(-pd~~mn$Ug$
zfl;P21t?%7B{wQfYGBmGL;u~cu_Qyx34j{$fF$(rW;q?VNQU%gq$)<|3({`~ay?t}
z+~W)J4%d&(WwK$~cQH!qErs5%T;MVld1Tr~yc(!9$LrBwQFR+*@PDTPk$^5uM^c=x
z%7RJFTWb`azuiTVq+dJ7VimGAekyM#!Y?O5Sw6Sy)zv5`;h(>2b^2Kd4;@Mad>lD`
zWh1!n6M9Any6VpUAfMKP#3vj5#xNDY|32W0KwK0fnC#T-nr2Y68)iJxt}lsO|LS6o
z50JvBR{=BV?uYpmIORXAC!p@*{?9Dp_T`2EQD-d0&zDK`nM0C0r%6q?qETQtNH?s+
zE|=MYMH>l|IsE`78gJQ-;CJlkxxx)&>mjwPIFHSc`OvZdVg#Hwik!6nJq~lRbSsC9
ztvbISL@K84!^9j>elpEf79A$qO;c$~%nWR#v-MyH$Ops67Bo(1Y6S(U702Eh|D_9H
z{xZZir+|tD1I~q~fTBXyl`&h0zdwY}0NVy==WL+uvnBU`Ph)XqshNqoK3#uS$VVeb
zOM-DlxrdX`X;3#uYO^MOIoftK!}hHUzOdp+a>Qt=vEP3VqQyMlhvTeMz4>C$ojeiM
zm3-PuNl!0znuU0=<2r>3Yj&A&;EX%|1;4B8bOVW7*Q?Kh_N0I`SAG;~b~IK5T+Wpm
z-+xN~`2vcjd(<F}L#1baT@oN73x9q&Co!Iy^gTf5Ir(lf+@ZXzOnnz)1-l;uJ-uk<
z98qhn)aoS2=7KB8;cA+hAg}CcR7|))Q$s(R3<HwdM<qwLIi*8h9c7vYM8e(Oe0!_A
z`b{gCAdp}OdKif;D1`X<0i;LH#Prf#z7{<ROR=foBR@O0j8Wc6PmZtPWdRA~kB2~j
zxG{r8?!SNQ)=*CcGG=v1#VDHE_)|HfQmle}hbmW=G=VZgLCY#tI435zEHr<REqnt-
zRd0kuL`(<%=CsDUY`+8!ryO@lyuZg)F5p&xX-m57N#rMPwZ7S_sc*O9`H=T19L!E|
zFmL8|G4d0>NVsqXVGLQSSH#?+Dw8v4EEFUG69E;;v;Z}|o$cjsa>PG2zH!h8*KbBB
z5oTLX4)LhjNkNHJNSZ73^`OT&h<#L0nB{+;3iWsfzUx@sJBFswDu1}~{T+8B-+V5!
zo&67bAE-#!p)1Ln-PP&g)g^56oQU;%Kil3h{FZe_OgzRf%0%ZbWFWb=7BlC*g<jT7
zmHTDraVZPPO1uF(Kgl`nW~1A5$N&e!fH+~{>y%AI*pS~;iWMeA5R_^&JMPbhavGxs
zql{#z<+YwCTQrAG*n33_f^*fcX#l3+sO4lO9w>YOM<<jyAyABE6CWz>UhZ-wK2fX+
z1+&e@k`YjHQzcv|5(DO91X1EL)ekQ&FSkR0OcJ=%piflbg_(a!U%N8;AuKD|1}P^)
zA4NUs(R^GL=}=U%*9)J~cpg9(wl1$j(Rk*b37-jRluDC?$<r$rzINDNCwO%Dg*FxW
zgB}FwYJVB*RXW~wB>@bMtxGWBra}?20*dUo?<k&@Gn1-I<e~gNX{VxEWa09yrnS94
z045LudYlAV8!4dpyQ=;n=GLuSEh-<YflJZ+atMmI6tt$GEGe6j;ltgVx)4ZqPv2JR
zn2a@|(ms3Q!5G_N&MQgLv?d9@D#U#s&dV5c*P-xU*y@wNgRet`4_Q{>6zmodTZ26U
z3lU&w)$7olK>iCK8h%X(Nc<n9O8*K-=Z!Y1c&`Tb558YyNKBaUm@70M;~gh=y0fu@
zlsRx(sS3U97Q9DlP0h7@O>wSrp{UiF5-xU4#VlcCEZpMU3jc0B<Ay~_4WJj~fmn;=
zy#<`ND%i`Gp(+29bG}tdkU|{yceSJr72|VSTk5nkMYVR=l17)OAXjhuvn8#%3%Q5(
z*ZJ%x(~J~_OI`z5O;Oid-FN)Bm{I`@8ts70ly2tRny2-&i33coD2q~zpZRsDzdjBu
zu4#Z_8@H!Hk)H;M7xxkw(8vaFQYbgo5SofFB7IvFUj%m<*Q0&Jei*?_hN+td<v_ZR
zw^ZC<d#5FM%p&HIR<MGqUiOXXcY%Qkz;BsA5_cG%T^5MggHDFv`GJ<di;ET-Ty-S-
zBRb{#`t>^|fY4Dg=Lg+Nq(Du-W{CSWco43ja_Ny<5=llTbU|ikZjk-{1DM>6-`NBi
z1Y%)8+qc2^@^TRUbl7w-J?G0J!7t{5?381myC}JAKUyrKg#>H>DAlCzQX6hQpl4ZX
z;AndM>BUjBl$1J!1y{NrcHFuHh9;l|`$(9EaV2KN`8`?5EGKbyk1X)}{MVi14Ktz9
z<va5>onU`!w*y2)4XWI>IXSM5!^f3B^5gwHIh1Q}BKO{1GelYCyRw2;kQAf2r9)qB
ztr#FMN}%&cz$*o#;vHRGBTBZXYCzu>;)|e@4Z^wPP|CfEK06Oj_kOqK=EFtHmkrA6
zl%^3IP3J!uQne*_vV@$wlRdvKXJkE~GoqBZE@}dYl|F<40sZRz@}>M;GLSximVkTO
z2_lTzsVvIw6B33Ckt!Xm3u@>yLKJRi)4~5XH%c7*IrndPl}<g?bg~iT4k<pn*ZXw=
zVu_aqEF6yzRoir`p-5;J?V>*=mM4bmh5SL=Y4TiT77hKi@mc7x1~cUpXk<o$cF%;W
zqfjNJBGMJO5Ls%AT-mM+N?ph-Q|cw`6WvJT!krxczQ{AtPCBY`RZi7M2aZxw^|ip$
z)&n<PdQzRC&5bqFfbF5;L{_PF@c*KVNE8mI&N{zLulIV!u>74j6}^_ygI-b1>*}4S
zy-QP>HOR9}J3cbf-~K|Lb&5Ch-j|XhEe#ZxhfM(?7z|cS1^#jZG>npRNZx;j!%$re
z)Qd2jjyT`6TM>GopycG_^imuVg?G3M^VeNKt3nUBvEhaJV=Id-FAeG2<5lmQR9t6C
zl7DlwX$>S+HZYXK;3-HETYya*otty59q)n|S|l1qHYankLwz6`KnExS{r=|w{iWPZ
z;Iw2@sfl^oaXFJ;ziDIP+s--Fw!}N-wibjAn7?dm2SR(nUS~pRm2l|Uf2sHBQVU6}
zx3XX~7MO91&@^{Q{WgLlMa{WC(*D=8!$=;Eo!tS#sIAg<r<C{R?qe?EgtHa{kx}i?
zyp*qxg`?reN}jWzFgeTnGzAIvkwnbJrA=F8Y~NqzMiwe6TaG1H_~`#XTFN&zVm52j
zqUAe66oi`&y&bZcar1v|7a!B<Qz_#;f$hUAl9OO74lCbI;X3zZ&fRfdqby&HFpq)0
z(u%R3h?p_sh(mq8=p3{sD5nYg(%ZWQ{OdMg(T1vzkss1gIst~wgvWKx80MYl<E6j@
zgILEWHmkUWYZ;DS5H{6w&C!lJw4@KFPT8bui2HG}C7wHA)WnHGf<ZWnz-2(_gET^T
zzCdS@0`OYlvQ5&<CKw@-Y3UCS{F@HMOp1apGU5LKp7Xi&Fj@|k-W=A2kGrERwR%EI
zCyVlH*DF`m-uoqcv6!8AUIQ2txwP~sj)2IhrjN^!1~G+Ts7V7?gqrgVGGqJum)bx8
z;}tOA0sGT2o@y4pS5W@a2Bk=@@u4!%l4|BXe%so^X%=SF2!>@v0OBBE?w90#M^+?M
z6Ht5ujsTMIj|z}L*3<E$e(U5EkCD&U)wI|+9s*MnhH|S;2&O&g0XL_rA9#hSf%^5#
zhmie%UJ>G((efkooA?YLy9DuIuamfQTlwUi=6hz|_<Pu{Kt*j)imV4jO0r*yN*;A2
zy+`~bpx&wzo=1=Iz(UC{rswCen~ebR_hV|5+urpdRwbd?sR7cI_TLpZs%wk#Skma+
zPq$TRZ(&alw-qU~^7oeHNsb?tT$~5x190K8(DinFc|GeeGiVNeS$WtNM<*xOvzuff
zB?V4==-1$<>U9uGeev#_4;6lGLwn~B{9U1;(S^wZQ>rR#EPYvDwB&kPzOwPjGF@i<
zY0OaNW%V>v0Wf?T2=V+LoebyV0C;@!fI&=#f~~vfILMTkuIR(duBO9w3os7bxq(cW
z0n)RZSq}tiSnAO~Jto<yU|fN$#5}0^BCg*_s`!MIZs1o$6Cfcby6i?>b4U=5Gq-#T
zT|TFyr4IjkzhNf-(;o%4q<6KISJ~9C!{+VEh4wHGRl=f=|NJG2+jMaK;%q4JpR)IT
zE6AU*t2+0?3g<&Qy4G}SPoB!LH;P`+5-SM&k3ubk;_MJpr)LC&F<sdO>cF=PX%Sk)
znrI~tgnW8axwR5*gN7TT6#Id)VwGt&h?dBjrNO-#+pbT7D_0_aLUN<=@Xtka_R9u~
zhbD`;3;?YY5AzEzzD{;5$7Ks+LdwGN+S@yaXgCCK2#ro_Mw9>mGQfw5SW$w|=L6TD
zP<O$?Q&#_Ke*aK=N6cf>U`Zm_3}G)YGa8=TI*GC0xa%{gqEqcMP>^?Ebr}L%jX}4e
zdQHq&NPJ2xcgz)LQxg#pSxM?O=n{~fvdRPr?FpO#-tBeB`ZFlIv7q*Ag?A>R#n8$s
z2i0b%X@_d`rp`r@gnjKNUXeTu<&l|IQnJ{}QyMh8Wv<1CbQt;@hss+j%4jk)#6xv3
z|6sWmGEi6cYw=Xtgj5=gTkvMhiO5~K#Vb2IE&N`{Bdw?)fn4Q4WIn#g!c^HU?LIVB
zkb+IOk5~G)2-)ce!XhmXe~T!+w1hXZ<Gym5vIM{}DoFekcju_d#XTT0f`Nx#RLag{
z@^vNY<Jxam3jf<EyIp~a6J_jIOLV)%pB2pphw}$6Cluu;AtAv!8P5j|sYn>rFKM?r
z5NF)59+L);`<u>4L#Wbm{w4oeICYt{Q7SR+W3&iE9N6-ilFtjW$*f^xSZea-Cmc+g
zW<abN$dt~;CVF`RB;2|c&Z8KY+=@Z%M^B*)Re%w$H|7Sxebc(fUuOlwQHTm#sM0zC
zV?ooTl8?2*#F!f}sS0}y>#Je?=FQ9fmX~r7Qe9IVnNpNzGdAY3OM@aF$nl|pDQ5Ge
zGspcptj+3^G^8(bh+FI*074jLDBhw>H8lOW*is>-=ke^<ha1*SXXq2VmcG^=2*|ac
z2(i-ea+QqmzS>80>?qRI%7DfLSy$_W*|GtanE*f<4b+3d7eO@8Ej99@aZfl6-&hI&
z1<>UFz}=U7!I0><RkjrfEWbQN$oD;nA#l3InV|4wIbBV8dmyTl-`w3=hPw{5D%vfA
zc6K9mCrzT7YifoU>>>0C`QzGPJIWQfaP68r05wWbAyI(+acXw|&Vw%Ia@p@!rxPir
z$209*dml<smCA~y&W+e?r0K~})Qth6Y00*^I@gH~6jwb)Mn*N~zi{XWfrTb{B^kgx
zqXD@+NO?9E1aqo&$w!G`3PPw-kF=yDc<0{bJ@`U|rU+hz{R$Yt2#>TqGQ+%zIb=#J
zI|V@KiEali3hLm;T3Sk-=YGcKQtl4Bm<lgW@@g^Jrvv<TVe(LlMrdEhNf^nDM#-$k
zGCckD#*zGd+1oDWik?K_o*+ee9*RuZ?C*=#sjZYhDy2wj)<cBzMLN1_A|m!@bRepb
z%$DAH)DUu?`tq?vXldXjd<*to3ujb*L4{sQNfw>rK;>srFX)wt9iOe@kUGt;o*UzN
zlO<JK!#Nw%@B&FG#85y3DXqYCjzH33!>Hzi#NoxCkdddyeq8qVCltC5^G(nMYWU&O
zlD$3-e!*l50NLcz<GXyOmG^LyD-;~d>$})yBJ8=;gLr-Qs4`t&2|7TB^w4mSL=Hql
zOQYF&3gs}Z!<=&vBJ-59?OyS(uXBTgfLCvUzM-QQw6w{`f;5x{fKwwmbN#cX-}Gou
zvGF+F@Q@x#lZL;L%1Dv7(D0VB*hLu53dXB~{M-j~XO=gN;l$0z66V1VJd?1xf8L%i
z{|<3*C@SVQi8oTDvOwSsZDFMH2z}=vi#}yIX4B7OkH|1){pEc`=sD8q;85q;uTogu
z+pC4p9$z>dsRdp7i27do`l@0KP7`c_P`Tsx<YX!u4f>4EFkS(uunZru-HXF3vN_5A
zWW%;mp;6uLbLQCZ9@U2Q+VEh-kN)Yz$57n^t-fYC#-@byt4#qY_-f8_*gg1k8x4Uq
z`-+ClqnMJtPfK|gClO<MbZ}I7p~@?+OCAy4Z<GeVnJoWvNPBGpEUyx_dK_G9Syl$(
z;>MQWpoP}yz)7Ml`4^+g;Vng!Jb1NP(5NffGfAI6-*E=pBTD&43jTD+$tt@gzPg`p
zXvu-bF@k1md2L$WjQhdhr$p!9>{9|pJ_3`vGMukR<nO*$*oV^G-sG&sTUDEOurEYi
z*DT=ECWe(gxcQ^bvs{w&UBnlWT8anM6^uu(W^kz96Gugi$-?TY8U&vyLxdQljA=Zh
z8!G|`z9k(b4!Z+xP~Im61Yi&yV;2L{aK?q_d$)Ezf0S|OTnoH6pdFm%s%cBne+k>!
zMoFCT<uy2M^EDw9n&Kr^wxLW*NXQN3hZpREG?{CuLoA1(6VOAJ45%?sBEjCr?bv7(
z(K`9Wu)&N-g?^1ql{F<<27fWcY%67g0@%f+$P4r_x^~fCUS9C!ENY%FAalH~$0DG9
z+6VU?v$Yu~xBt`}NAqM+K%w`mC$i-z=r_e~Zs4qdQxVji2%H5Nzw6ol=6y2|*?^YQ
z6K|fLYx~<gT#*0p^c2Zo!*boqZ1)mnrj$2V03mGp(Hn3dZgl8etrJW`YO65*h?ot3
z8Ym&t%)U6mPC}6k<J+2#Ysng0sOR-*XrH#2QF6f^kt|M$<Bh*Sq^1fWt=<^FFzN}B
zT?=rm{7=HD*8-_t;-j(65Re4gfKxdYRVy$i$tDDE@8lE@_lxWd1h%X&GP(b%f1z=#
zDJIRpsGZT)hAtM^Q6t!-Rq?!z`q(f4U8Dx<8p&@=2*UZSy-3V~h?)Wy4+Uuen;uA&
z_Ifrvyz@22%2$IC4|1P_3rGkUFXrbf)#g7*wX9H>W~><|zxHMVI<?LjIacV$tN`e5
z@%J}5xmS*CUbiNOd#emc*%Bx>9>YVIHM%Jvpo_E{@7eUS&{!4gvqG3Vd)vBOILzQ^
z4yT55GD@g?6HC*rQg{&*Sg1@T_|1;VF)(t#=x0>DdXYeGcFRil%-i*fhSl-mppUv7
zaIf{vi=R6!%hwEbe8egTLh3f!I~3IeO`hM}mQj9>XQp)0Oo}lh!dq3rBmKjVIyv7#
zOPf++6KMW2;=y@Dbo_XsI~QoJW^4&5Ejoc?SVH1<F9o2^nV1oQf~M&~E(8b{aqB5r
zLRz-Ng74E(BXBiVf8DiwoKpLqbzokM8CdDDUVk{21j_b@9?xMNiq9s&a2;cq*+6kB
zpuT^+6@WPHv+@tP)=19Y5J$1UyGh2l@4f!+tf<xFdN<9p*Ug^)(3Q4aTOU64Zn-N%
z9t}{OVR}MxCH~c$H)T$I^rNn&UDo5aX6L1?tgON|acq^FBj|LZ(P<A8G?33%)zmaY
zsfUDw1dY>JLL;?de3a!R#`u@)UhxRYWYSOG99VvhL?37t6y@*?6Zd?3nh5WSlksRc
zxKQ*P4zrP&P*F~A{U-n0bYq*>2hrB$uMqT|GQn!Seri(H0I}yR16GQav$xE!j`5}M
z>0kf2TE{D_<jt7Ps{V|Q@TuxRiA#+)N2n+ZTw6Y=Qgib`j|f~;rIC4(gaw>)rqocq
z1VVlyU}}i~t);?53P>8R8^wn(Q1m$?0W<fU3x9{8^oHaM{psA2+vjN!c@~*Q5s+NF
zGiJ!DTZXjVMzH9BDJ%aZ{RYWiexC;nt;}5D+rj%q9BK{o4h{~J2(1J=xH5Rb{zn1k
z-yPIMnKAi%>M_hhEYN0?27j~lV!_oZ#ki8rt04TYvB_fTFv{{X1nGVj`N@+{`fW6G
zaUcO+k>Fy~z(Jdktt}Mj0N%xkKwFur38V&r!etVW29@o<FZwTR)p57e;2^W>9}Eqw
zOdxX*1&GONf5=X$MOLfDWnLewh74iOI#ay#xysIb?>%{|@?8Ze5SN`5Mo=hH=rhLi
zU10mLDQk%>dp}Fm8kfnCZ>9GlKv8idOEJfOBG5|R>ycyt(L@9h_RRt|;?`)7OSrpd
z(yv&aQ)Faphdm(@>e0)p6S*PdP!AN4);L9{KBEK5TeTxYV}HH7m0CglAfx514p5Q2
zsk@`c)L7$GrU2){MAUVjpqp~6CN514f-qPY%3`fWh1stSv_L~BgGamgw~f7?o?bBr
z*|BM6LuT-^?~WOX{k;1;(La`v59pq4*veCb{6qKf#dDQ@9T`rpTeXqiWq~PlKHi|M
zw<IB}cw!(gE-C2^6JLI{1P?>K)7ei6g=Rp-?iac7DW%BMIRice=Ck+c1t==wPChmY
zWOy6+JNTE|lt58Tmf!8qy1(xIWdpxaCBT@Csrl~k{K*N2-kxp{)bv+s$2Vb=l_0Y^
z=;R3TN^9VD{&i`2;Go$D{npWMb8GktXgsJ!3Vp39hnK(mwr)JZN}w}%^OBf&{ZMLr
zJw#S9zPcKddo_-uKAm{M^2xoIkS|4an)xv`godaQdWQH2oO!nHf~J^LUp}7*3I^53
zFL|JTx9G?1!j|a`5fTu?TgIQuZL=tECF!k7%bjk~N%M07#3NBEB~itm{6)7<a<YzG
z1os<L-UEmRLOBZ{?!9D(5Fw^>2{2f8XG3!gq8w(KAp?ui!<`0(1uoC_Yk?F3rOxkv
z`ojKp!&L2iX8gCD<3U@LW6&k=_hEJ%EB!?3`$Wc^kOKz~9nvK|%HAp2X!9pem^XqR
zv?LHR8!RZ-|J@%>kKkpTv9Iq8OnOAwZm_#GgC{%>GES0@830gx*N-L>y#xUIsKNms
z*}`g>ykE_TiwWa9a~A8dfCa1cw7Gzh7T-zs`6)qz^1F6v&_9i<-St;+7e=uhczD}#
zzIe1S%BYK1R<|f2x-c5DuVjsDB^<dpc_f8Tvr((kVE;%+$kRot+>cZ+XS((|AIM4-
zSRdGzetv~q-4VAOT8NHG$jYkTz2~ju>FKFii!%2h(gC_uDR3L-lP;F?<rXpQ-X3v1
zSy9~<6mc;8b}>!iQYjDwUrK1q7?d7AsvaW?%b!gly<0T6JbMdT)`TZdzymF=p%{=M
z<S)Z#XAB`?!LRF!!a;Yc`TIPa!Ih)MF|Z@mMd}n;R(Igv26-bOJ}^}W+VK6yfmc+@
zUuQ@=^C2`m0~=}^lDFWGW+DWwjE+uLhhdj8?p3>Y2s~rT4yJ*sw@2*P@bK``c7}Fw
zize39z_r258qCe;lOPA!c`I~CH=H+~q5vmYeX`+?kTDnr^YK6c&HJ7MmRkETSpo;}
z-<VP*`k;m&7255OYK&a@NGI@iv2f~F=znORr8yHLWQ;jZgkyDzKB9G#a+@8ClEY{V
zx7n_Jrha`{mr>w#A?cNDo3+Hx=`laj{3-rBHMszr%tr>!YoD2mBuI|2({f1OdwCK9
zuwhMTc)bO_2tr(HiH<Qs54R7A^)a6xsmC@ZeehlH)AlO3ctsxyD8nqiIFE3-t6X#v
zvzOIWY5Dt7UI1tzKR~0A=epwp!Lh2KK2wtP)=57z>wA=t{r7ppn(i5t_(qX~&1f`&
z(t;f+$w>vXj~<+aSagaLr@+kj2WGPGeX2epzZn$p7^@$KTlsTuSZeql)v$}|NVbKr
z28|3)PN~clg_|VD#>T4kKLQsF=OA*VI^PRs(~BD0g5mI%7`@%^avQdHa4@QZ`6^B|
zD4`qTaQF=DFJ8R3T+fvK81&-^QVxQgNvJ&gNQH%Q7tj(5Uc<+h@k3YNGs!nK4aRjH
z-1N?MsTguwiGKAn<VVoR+)U~cYxyCM6DJU^)K>yqsA|`5NdC)XVAceGXiLCMvQ1ax
zAc1!MQ2bW?BkGD^0+9=WVwBo6|2^=g1x~q{SGu~Ii9jSEpf6i!wEx;*CrHrt9PqzD
zHksNm?t6>~)j4n+g?(Ik*>R3{{5_ixj3p*9me&R{G9_V6O0#f-)~xHp?eQPQk6eAA
zmP!RZ06Ma%qd{U_vw<P=95VkA#gA=Xq<~pW&KpY#uuqMSkFVjOSu?m#SM4<6cAgk#
z`Pxob>G3})X@7l&=MwCAV^;?fj;b?0n4>0t`-L^DWF_Byw35k0i(<M<Ug*ik3}=e!
zyK^!a3kmT#gY71sYyX{p$IB5aQ4u}P(-hed+2?4*aIAPWYSHmgW=m)KD#n1;u=GqZ
zA?CODu<_@<;hq#o<b>m*gS{#IQ)mV3Zr0=ifB%T^xo$rON~TP16NlNA-Hh4<OG-OR
zEM!zlTFbaw4aZMDOb+4yQ$>Kf2f3A_ft33i!~>@G!C%98ZQZ`gXr+}K73=mk*_o^u
zsaX~1()`q#r@3OR*pJV01!vNWv1&N@_Q(9kf_{O#=N&UrorUSEli{43f48;Icb-gY
zG=88}#8Ih!Ph2t|j_MaLx-L9R3a!2gW3SPeKHwRX0sl9i#q~;VbNIry&XDKuacXf;
z&b2T|*)h`9IIixb$BFif_gh+N=`^RO+M4#pH9c~UgKaJ~B}IH2<NN`bF5bz6cSs8F
zXPT>5>Ed$cRF3net)FQ!NX1KFyxGh_Zfoj)rb4`DjLh8PWNeeEA%9Ldm+2>~t;{ce
zz0-fq=A-VJZn2LiV|BX^m(})(@o#LWwNADHix!KF)yb>Gf@{ABX1YEOgGvOp+ek3d
z3Se;u-XB)$^503}<}DywM}yssp;r;$838zm>(U62k7$NvIvnR4`jtW&|9!+M_D}pO
z;d<5jhU(B{c5ATFmn`M%nMcb}H+0s=oMg`a6zdQF!q`kGDGw9fVWqh}3i)<n?C-Zc
zK2MwGp7Kcm00f+KG1<149&Ik)|6%jOICsd5*m^8IHNfnic$p$a+!RaIf8gO;TeI(N
zco75U{jRDLtvR_{n|mpt_7~14T)j<4C@Q+)AQC5_S*B!t^HTj}vV}yc=g*S)kpkXg
zn?O}oy{vC+t{H90b3Sr^K69pn5N87N7nK1n<1d+kkVz&8GoGBBT%hFP;o+((yb9^z
zCN;Mk*!fES;P4{!n&2y0`il%VVbgfu(qR@mGj+Rb17;Xk1SYZZ8)>(n7OAZqnDcl6
z?7Ntek&)P~O2<`mG{p>ZujjwTHr3TNLq4y=XJ<){o7GPIfK_rr;4{M(?ggx91xDC$
z>o?>ycOsKO+=W4$V+8ffD7A-oG*HPYM=s{Z{z=h>=kwr`S?pUe0liE%wVCA}mzCu4
zsjx!IiD=5zwln=h6cc~>_ttn7UxWTzbD3e&Qfu|YTOZj(2DAH<=Q?IvlU_(y3QRlr
z%9|-Y>=lmiFpkrQF_2W}P9=RZ7R-VI;sbCQ=C(QhaD+#DU&g(S_Ppm4;%?I!mU0A7
zx4FKbZ5hbZu5=dRt*xE#e5aW%BOdmiH8e9=p#Smfk89~50;Ps*Z8VP=68FkZ3$<kH
zL6Bdo+yW&~e(7zSr$8DDGAHB;p6bp`R@=ZeQs};@Z2mV_>S?E_eJ3Sq^Zs+Sm5;U-
zC0P!Ru>)mE(P8bcmg)t5IY13mG7<NB39KYEq!ZVqtmo$8e|7+toCVB@<5shtUB3;~
zWv#!RDUTBugKxXM!gcqq%R6^oHZPsw;)_~`)b&<)mz{G40bbdfv2bmLtPG3nXZ9w2
zJn}UE?)iz6vDIPr5_0(#<nfe`ES7p)tcbjyj@N#-*=!~)nG7rtJ61q+XZtL<@UAc5
z7u8rqlGHo(-fiBz=UfbiQ>C1nOO-a8d4_(jhqcJL-Sd@5%!sW{r+!p~^=?hiC`{Py
zqK$1!eW(RhOHfcyA^?EhhKGKvS+h&*Ub0*L!54uP<N<o>3B^>W%&yf%kQ}|bF#P>u
zxmMdx6@Kg$W`j~yCq5bC>(@t`8a^|V9czKKVbME9#~;lH0!D5O9EQuuH{p?yh`msr
za0EKW2BQ3oQB(?a$esUl_jjIbeKVt=IvH16sm)~3m(~{+n5dw1+PHqg#klo+53!@$
z%|4it!*%KN6`E$0_BzMl0vRsezAFQp>mW=+jz3oR^OwLf0;!cNJr%p{mYeGYJY}@Y
z%Y@yKfS7_+4Qh9`iZx;4)65?_85-1|#_;Yp2=dQEs^xA*LsAUY-O0IJ)o!8V7VNh#
zCE3rCQ9f0&7yp1CT1mKf0xL(`lElwA1R3$Y%U#;)+1hZK5nve%oeKIUAEh{Qq(!$q
z*X&hp<P=l?A<r91IYWUu{ryVdq=#8;CR#2o6)SUt76c*<IWaL90-4==jdzRUgrcIn
zxS{zol0)lGUuftJ#@3gsX*w!=J-O;tTM9-sm)gzOOQF}nz95tRKvp9x>~xd=>kHEe
zkfhmO*R;`skmTa*Y``<IP;9h8*iQ!Fq}i)`eh~OA+oSc{EN1d`1i7lIF?Ewcn;G#*
z%+0W&q-wQt`&rONb%N6_(xyX$>sW%lyqCr{n8=VYs$ye`3G(x+;x`+=eftSC2<hP$
z<l|E{;7glqcRRIv{l5f(0DKB=U=zrVMeZ2Du14Q&g<%dC_S=TDmQG)%N-{RSfLE~(
z0tt~kH7vYrtZ-9uIEk%&dr3QcW*maeyW)!3bi1`k9)6;z`%AySrMTv$P$pJJbbT#&
z@kV=VNzC14?O~<MU_`=S;T@l2Pk7HsDn^(wwcY*r!<4i20M*$Rp-EmVBA+=APtP=f
z9||ZaDBxt7w0tbCs=9pm=I++w){~ibfR1%+vk5avIZ8qPE!u-OVX>FH?Z?{~9j!5w
z(XYbmrSO{eTAs+gRdVl5p;>>43Jm<nX9;KpG78Bb+6|!egt1>&7HvTGhcdB{lPB6U
z757Nt->RL6*7(%88j+{tV&8+X9*&`ha~5W{I=)@pOmW3xXa)st&3RDj%0qNK03ogr
z;|gUNiYVAxjNWO3Ifh!J&Y@<YKJzN*8V8Ecw@Yo_u@X?eR_E1zwb3oyDz9n*WFAlu
znH@-YU4}7iYo?U|t+YXlk7NoBD+m5i++D@hyKVAtOd5S%Ca~#UGSDn%Xf)Z>DBw_0
ztKb<V?ZTd;O&3z_zfE^=SKGXut{`2+I@kHBprH?cD~C}*Fhi<2V)>|K6N|r~l--@F
z<D7*oeWA&Qk_9Zfj6@2{r&Es+5kc0ak0};<j_cR2lOFbj*v=~1JumZ-Jhu~+l_W==
z@V4K$Ay#wNfa!*fR}R-B<I=z3#lHGPts$2FaQsHk@<GjxvO7o)X@LFY_jn^`22flu
z7e=<?{rmSxP{jpe%4GSMl|f9~BCEV;6M_>Hq8tCW^OvvB($^H15}O`H1N-~TW!+;w
zN|aa+Cg0XnYAOe(%|96^O#!3`odm~kS*}$)nEyj+tp^D#A2DO0kDfMic20ORWyyot
z?P{JM1(WIon3dW9t<DBn+VG!S&*H(S_0T%o8uZZKZ{CdHCcDO*2Hknf;Lf%kqQ2#B
z&A%w;`b~^%UotoQ^=tJ8A(#bd%|G8<6iWA?Q#|?SUus1s$}7)hSGtx+4ra~|c>Lf`
z<tf3`<MUe^v5`!YcM+_lG3~tu=PmDec}+B!%b0#=V{Z9m_HE-yzspvh!0l2c>yaia
z>ia!$_Py>AqQ)7@ocXbIhsiU`re>qyAT$MeQRKqnVvxW8JrNP<@88q6ajI9hu<xx0
z=(exaho+nV{x(H!B}5p?SU<=z`n@vr6C1Kk0b)i@MTO1XGBh+qlXW+MoXCgSr4$s@
zRBMXz@-gswb#IG`iEZXtfS@O5Q!wl(b1@u|PrD6*Q$al<fZelo!IQz4+UZ!H*6yK7
zVpX+zKR$PMjGTP3VDkIY(ieUkTffWbb=XxELQ*(9;*6SVYB4Xn4Def@p16?-%0}di
zgVY=Op%vt~fJ3FL05ZpCx^u_>*uEL+wRti#hg_d<9RJWdhSq`*%S{mT!;C2rlt*5%
zHbfjf-KrhE2IRmp3>z>8i5r@fCAadr=k*>D;C7bv`VI9aoen9srhx=C*MaH$E&Wjn
z<G#GalJO<kv)01c8iG9hx7pA401AAy$Cm!Grkzy<UO#5zNH#f^hG~y-UDF@UQr_Y*
z__9OJ<DRFsY^pV7n$B&I8cK3ZLX{vfy`*Uh1gB<nBCQQ>VQp<~HP7f^i)!!V+qv&8
z+yT0elG5FmTSzGV+X1@RANcvoaV4JgOuTFw^+7~dqpL&1!<<mq!ML(kU4{jZh=_A2
za~O?;M~c|dvG>j~(jPL{X<WH=Z}wR}|G|r8hA?7fyZ_^|PT-Yr`m}Dko{7N@>Y2`k
zVl;2RRa$k*5uPk2EQ!-2Mn{4H(Y+|U0f!ApH1Rz$f6edpVXyz79a)J=`~LGj?Pc+V
z1RHw77v#}?F3as|*wo~xp-i0ELlrO}m=??q$rI8@ECd+`PFDIzy9im#Qy?74f0zez
z-R#AFQT(fT@NbiPnbUUMo;fRu{oSO>l>MQOX_LL?<M#3v#!R-M?c%ttin^sgeo*#4
zIAl!9!IP*2x#8&Ges!ieESK)*A<w@Bj0)ZB13Z+AN4!LgybH`CHLo;;W?z<6P@?ZO
zC?ZNLb|i&-?9Kw%2D*n{14_aLI7MS;e!D28P69w`DG-9<r3L;60^Ty*^3_Xw1<v;$
z!j3x0L8sdL-d^y^6(@50&M=0#3kE<_ZgKFbIa@hj6cp5hPNo$i4U!=h{0b8j)4k{V
zGSyN3Cz6itK2NkNWB&GVzUgTDSlb)ppDCfC8)|oJyV4}^ePlLP&iuR9a4jf7m*D_^
z3}TLrCf9B2JKQgyEN%71*9i7yGR<syANJISIui-;Z>=n%Z^Uy88xB;G{R!i{m$F^A
zq|n|ex1yn}oB-ocwNQBQS3g>d+G2vJuM@a>)J=1wEJ~(5&OBk8_hD$j^>VcXBkvMR
zO%DXQ>OF~=x=Uz|pHsNM#ElC)*?*Vh$yxVW5fgE`em~II@Bg^>N1*9??k%yDg7mj$
zq{&LlL9v%53%<}}nQ}`?lRtd82B`#nTpV;)I60Rsp{13SOeOO*j)Umj9>dEI&w#d7
z0ptV63t<u$1eTSQl<q=`ZiA^3;Ntvofoi3v<>2!PH{qvOK5*f&zPoehP6{-uys!nE
ziDwj2kdr@#gkY}!MqqZNqNZjTzRumdo-M7dkmOlDwWlpdcLrZNm-j7ZhpiUtnJSfM
zZczg5Yu|CI!1wR6D<eDRLz<7Qb(Z&n2oqACqFSJg%mV%E#ewXhXLMf(1bkIhW5nm@
zfKtidECruc*#Zad%nhr4!*R3o1ej)$T>lQ!79_c`h4B0Zt6XMQ<u+z(l+9H^{K!Yr
zKj&P+(N*B#8HWzAV2w9+58lL$hkBl!E4h|hIayBD6}rV~**%=c`h*h(i1whi6rE2Z
z?l#7?cMC#aF>3|n+^`dIA2Sti8#4QL^~%Dav5%~mh=g~(S-vJ?U+5!Z*{~{q`^2l-
zgzY_o9JlL^O|fSJ9cX(&5fom4zOnH2RuX8GRli7rS+i^fXTT(DJXleVS(>;n0%a(a
z4l540i%btYabn2wbT^hG>z@BLimU#gYioP&`RkTry5-gN4nBwO@Hp3hmq2)%zWEP8
z!^4+&K4HlhywY(z*!Uai9J#s^w5*cf8JjPTKUJ|jahq;?8uABPpv}qdg(m1v$kI^t
z`Pomm`!cO5&pw!?L=)3dyn~l3uIrOminQ%9LjFS%qEKK%VJWMt@A?qI>D~@D>X|a<
zDzbezImIKa)2FTNBf--_S5@N`+M|HM_>P$Rz@3e%{L3BLRq+fzDEZ%7zR6Mj<ppCH
z*VqfL`Z|{8vPKE6Ya`=6uX>`Rm|WjukF;`e7Bv2Tnih54^zloh<)Ex7-^e3CsewAu
zjN_fxbq<c>hdnRR(|6zI&X-Y8c#C4#dckiwZ4D?RoKTy;4c$ecZdUKt+1(1O81Q)@
zOXv9w)iBK~-wLKkEi+R<J?_ZziQLiXXWSR|FZXUSva!jbo}~J`^;m-ftme)Y+%}4y
z%E6MNm-6LLWCZ)?e_r3pVgJUox%PNoHgTMMf|hbsUft5h@0OSm5NHO(dM;bbofw$d
zY4%e_t*G|rGrG~yjcwr7CIJBc8KkEBZErPRMZ8QH_memzx-FHKlUx0!pj~Q<qV^IY
zdZ(MUvCBT@>c2aj7*`{_G(=Ip{P#H3jnTqP-CjA2`7`s4d#`A2mFC{18I;W5@Bi_{
zULQUF^H0`%L8t^971{Nr#jls(q7_~jGB8#C`E}<%*O8~(PlY}fWGYB`@DjJFr+NvC
z1W;s_8P7zA+LM!!J=B6;-Aw&1h}wX&GLw>!;JNklihSsY<76)s6~-K;-%7V?!zkqk
zHNw)dKOosH6+8*Ho4f0`?b5UVPMjKHRxDF&6F%G~eHfqhzt6CnM<LY=gjqT+V?<<S
zeW6!>^!&DTby&Uj&40Txo^g6z^S$z0aelKqO_I)~hS9K7EKilAMMA80?$PSu9b34w
zy#+Ai3GCmko}M9&Io;je6lXg@Go}XJkVDCI&iCo^hr5^JmUgX^s)3W(I`TJE<ZWPK
zn|enO79G7CdInGVC-RR#?B1q+WlHG38~w%o`8iZ(7<XRN9NsCtODH<P_(pT$>C~(2
z4kIPuBpUAYTw!;2Wvcz<EFV>Ug_^3ihim0CSA7Fh^QX*jd&~K)_V%kA?R0}D<8+Mg
zg-6JKxvDiUnJ>yLV=tcKotE#4HUUr<m?7)Jb4xg%P49^VM=o^Q=Z%lgvU(-BD@=M(
zM^RJhcUk)j#n}g%0OnGhK0Wpp*LVCfaa7FZG_Dt(k@!Bp`J8r|Iq!A`OJG8hq-qEe
zg@0!WuWcLDk8NOvay0u&C4FL=t@7^!22Erz<JvVFU6Hwc`x&re*<kB40cvC=>OKZj
z;{N<O1tn!Nv^za<9!W3Viq%wmLx%5ff7OMc87_-~jJ7sq0|Nubt5+rA5c%jj81Cqm
z9AV`Rk}JJTXU;E-!7N%yFeVR0&mkil2;*iPgyE%fmIElh9YR0R$+S`mcra>j%PBSc
zt*ouhq6?uo0U<+|;jCV`W7Sy5_~>Z&;5Psvdme(!(PDEDx-7?RoXXJR2r+33NAQZG
z>Dt*w?UL_Io7Wx=TZELTXTO<_?|LbpJxvhR4zaQQ5dDhUPef3!^n?{heSFkJ<H%p5
zjlH(&(YXAdHGe#4s#i1vir?SQda}E4@a#3AgF;an6QE>o1x3(YF6IE5lB}YplUTXE
zoLw^H%~ZyvO2bLDk3u)oJBOvKY>D>^JS<ksSuD4`BcNR*(o3p8S^OPCI2}`7zfT^-
zT!&ZrMuO7C-ecCX%e_f=whGqW{vTQI9Zz*1{*SBMh^#^?yJ3c8B{LEkSxI(fWgL5E
zhZKcE_RbE4V~+~S-t*Xd%iesi_vyYrpU>~{yZ^cWk#oGq^}4R-^&B%+LW%E&PM?T=
zCH3#5GQ!;F53kYujNkaxn~C}M=c-QiVJThcR(k+4#=Kivve34!qoRFIBo}>3$oPDy
zI1wS?x6pKjul|C!;~r{n))xZAGVzCpw@y@XjaKbq10SzV)8^lL=4se!)d#>g0_DAv
z7FJiD3ach^xX>>VGIJ-9SuS_`drxD)+qWu6Qw2{1x-x#uH0}30LcBd_>I(scr@DZz
z_XZjE+^l}Q!b9AGmMXa^+*Ih(LdM^myNVbz9h9Wq!lO+GLM&)UyI!w`&(dcSj$H&$
z5ILF=`Q`ZdxZY}dso*{&zRdynUnozJtMZuf-QIx0i{Ieu!w<skn#JbIR#@WnZdb$P
zp|@II%7F49@Pz0+8s!4pX*mo_SAC=JEysoK2h@7bNnqEJ4dAY8Y8!GBy#_gM|4t&D
zbyCwY%t$*d>ftzek}oRVS5+=+^==^>zhk627pINKU`esW5=Gqq_u3rSze_2B(Fx&}
zib9*CRbri_v~B+Dv&cp>ucJsKQZT@BVGjz1P)7UTX9XwQb8$b~rbc3TeOwjwa8vL6
zdS1*&zV#fuXp#J2lGY58|AzTLVZB=^-DMse??tM@i2?!&Z8f4jhQl&O1sU1{;xgIo
z_pLt2r(czQ8&H7SN=lA+A7(5ib(urm0l+KWN02H5(nHf2Hpb|vDAT}Zi=mQls(zXk
z4Zh&#)loBh)Y#V62ip}3JDxfZ1?x8)e6_f500(_NhTS7bpxJKNn#~7M9(}c}MhUBB
zos>ywUWqNeoTeV2l6x9`<{g`y>yS-7lG*05{9s0_g~9VM35*p6pOUM|BHK+??v0&E
zRPk^cfEral2~dE%AjcPy5I^j;(Smq%K7#z7%MO2lz6$#rRLw5?Pv0#>Pf{cbQ8U{Y
zqrQ?W@g5;I`(nqt2IYC{xRGJ?;I+R6Nmg?pt!f7nb}o`#siG3kfH?$o+#JS3u&sYv
zIl9nbcWtBGbPy`JMW7-vgV@kj40e(6U0r8wWt@(R`dl)#$Ix83Pd;>*{|7am`u?{|
zO6)|8<zQPjV8aY=M>4Q@+-&)%x%CjAfH^DAgBTJHp1vNhb;f_wFLC_QU#L?}`$*b{
zc{S!D6d&jb-(vPPtc}^&nh3A#sdlKmO!qJHi(^GdNTizZ$pKZ4dJ`5OnzyGNx^<9t
z?WpSd1MSd8QvNRw_kzfmAG>4ToiT|gIr~;4>oSLQM`L#HF)WurQjXYp!G)Op_M9{R
zJlMnpqN0=U^>7LbYJjO&evY%XEL>R&XIU8VyTL;Qtemp64zS&N#=tsJz!LulhTfIF
zB>;vRzl@llr3#-s)2Cx1NYY^@t-j&#A>aiZGyiTm(3Ey0*V!6)CrO$=e}N#lIZzn(
z!m*GH+_zv0<VK^LU@*7*hp|~SC+nv7#k4oyp|{$E3lG2LE|EQ~I}o{n*ufHSFs_S^
zLytOQhPjF4{Rs&4UUjbkV(=CW!mc+ie!dnJ6}4Y4ew>7a8x(<Dy(0w!j<uz5;&5Bt
znpJ?wp)9v*-%J#YhRxuC*4V+`(+tt($ORfD({yONMAv$>get$1@vgXchxxr+jP@|Y
z+yprK@7pJVdNwnvZ&OEgXWW;9&*RWp*s_K?KR+LFD=`JM<Rt)im&(0u|8o__k$Lm}
zOwUyI{)>s?MSchG9isPXhO_2Nu7P~xhn8g}P8*jm{dZIK6WT~tJNpF;th9n=P!BsR
zI0-B;33}*c!I4jsXSy8u^A#VaCx^ST-kf?GsO*6z#lMwAef&G7&N}NSr6!`|L2-fl
zS>VQJK!1?Tb`-Pk^($ABwGOaQ*%_V8fxUergJh4xt9N0K#mbwf?0uu=TxLS-@R1m6
zZS15I_^`kBDYP6Oynw$R2As>mi6Z8UhA?!gb4>xd;x)LOTfWkXoKGF7m61wqsn^6E
zu#s{A<cCc;N;$aep|B!+_ST#u5~f6xxDM485s<5ojKHDl=BQ*3jox;p`*gU5{jftH
z8#&_3iTHw}{sgAiJj7mNH0I5uHoL%;d!8ruP_;xDsGk3-3V!M8J#w)}X*l{9pm~39
zMTRcar%c2>4Y9w6?Dg=7*_gFGMEQ{mVS>Z3=(+>aV9`6h^!#N19h<kelU0;MpoI+_
z<PYdo)6Y>$>e~2co0ymUPg2`sbNT0KD<U~5uTKAYo>rbnep(XwsNI^qM(N5J%#8gV
zv=GmR_0!+4I0?eywHd3Yty$I14O(bdkdVApD<U~-`k9YEKZ(g>$diHn265~}I%qie
zVZgNDp#T0n;4OqCY6536U%m@y-P$?s*h649FXutjzNz~wRA6zc^RkDd!`f^jlAx0b
z)K!RMQ%g#idHDl^9+nMRyI}Gd`>>3ROi0v3{XddA3X#LmBp97=iLF*_oL+efqV{=M
zf9*I+ylH~!jKI@~%_c0{Lb$<81#^XrIq@2Bd!UVlO!RIzz{10~W^d~|0b1x#Ln7F3
z7an6-_Q3o1VFfeJFJHe{sIxtPxw;Z0ww7&a0nqEmF>q^Gde2IUh8C<Z>kI?7Jy&AP
z17P0YJ7Y%88)S%xq+#j2*>4a$z{6P;0v1GIKl%u9)IWw6^T6$p_%y+Px5e80-pMC3
zU2!?j1Lx9C+X@Z0trq=aGkMid$1XNx(*Az97RtXx6TY;=N^}8}l^b7L7~zi9@*H~C
zj4L19=PA+^O$;XrjMXX@)ZHkiZ-13TQ0T0ke{19Lw#CnJ<>+J!Ohy{a9r@k6%1_^D
zzV7R64=F6<!^=-jz5+7;x*{u>i~ekYABh0pXJ>Pe43SV_2Ze4fSpRAjUEQ(<pAyNO
z`9n5V*g3W0`_MWK+0e(tf(u|(O%fx_a>~ZWEuKp7kH)lN6z}O$64zZYSMc&B+(*v%
zrO^sN#tKiJ15fB)1nvaJjyphTwq=COe0g->7lTChBHQASm9{7kz%<Ib`=So)JolRP
zk<{*kjk?;}{?qud?es@1(t)Y)0!aOq)uR@pwEA{r?L&FnpJ4w(^Ty`aC6gCp-@TE2
zC-iXgZq?0uSOOH{X_A?lX<2MKvH=c(nc!n6pimbBG4oFkP(j~JXG$R2yDdI2DuI)Q
zrGA8Bq}sEZ<OyH372<~n#Z7I&v1Lcs`Uf6j2Lzj~#hwK0B~mUYUg^fRIoe`63*l?C
zK*A_{w(wlk^#Pef_Uu~AzbE2_TL!R!ivXxh1EEh65xJ>Fj6q561eF<*F8N~j&$!qC
z%W3&BbsfZ+04k1BTzjr}ny#R7@k8w_6hVGPQ36Bnav#4HclXo>_tUp@YBu+dc<MQ-
z+cVpr`fIT8A@7ESIv#;gcco@5%0S7&AP|*15|@Uj9g2GK`{Qy$V=MRiMmvC6I!R0p
zVX61!)TC%=Kc>k}XA7|AI4d&p)=4TJ0B%7hPEAE+6gU<6^EQkKh4LE?hK7ddZ7Sqz
zjkyrq+SqLRb?>NxN2S_APSwnD`F7h*L}Cb7#UN=G7vwCVD1}Q2+rgN@g8`SJVSFEp
z!NLXu>`NbH{EEX8o;OvpW@Kvz6*3d_sxl%B7cLmDN<|5nb+gj^z6n`RNJ@6?GJG(y
zp7@%_!4~<G0rAO%Us#FR0v*bJU-faSwq>a_D1>Cb@Qzb~A8`IMoQ*wD5FJL{cLu8W
z<kz7)8aNsT?^*hzOA6Jk!mA>>b}jslm+0yBW_BWXW<Q5M%wGoM$!<t3$nrcn7`4>b
z2lxfd>ifTjLgjw>WfjpwA!rVS^&;-Zpg4VynI|}Y1KG?p$EWDJE~8(<rgszAe+vlm
z05F+cWrT&EI6%|ETMWom!%2b8^`%qunn3eap{9);Tf4Kc-EIzl`SgW6$>Lb)hAsA|
zaJu!3-yJ&i>87ha6p{`W-F}j3z$L<V{d(PN-&mKKD92dfJvg}K>*M18$EQ+GD<VnZ
zU*7lL$H+ACd79_<1@)Iz&X-NRcZudp4t^;>R&h3p`Qo)3zSh|0)SKlRt86_w!yH4x
zQmn2w{-Zs_Pn+yTN0A}tz=z~76_R_L{!*C%MJ-g9&!^DRT$nKHU@yI?sF_ch1qj)_
zW9n$tF?-e=Mp<=^u1mM!_(udvn1F=9V%QOa(~G#y*9JbdYw1~d3fLE<O6|#1ch+#G
z0Oiyy$y+V7u;RlJoCHYhvs(gu95LVq&tdb@fTglYIAefO2^n9t7rJ#p1BFTc0awK<
zeHeD(jm^#W<s%A3p5Qsrgw6rGTXUF*?m#ayjL#YAs=-|N!`FCMc*6-fb5<PPb#!7O
z-btJ0v}*iM!kH&Ki+xHaaSoqI6xbSk2`Tt&r(~hAlT)Xnp)s$Khdr}K>T*;<SA|J>
z{L8FmZ9Tn)S#6|PLFR;!lv)-r94~C|wEA`tgBwS@r#k<&=~rjDzSdnmhKF$Bz2J!T
z!5|WX1i{$(f9dMqL;ugZ;d7;Fd^PnG<*9BpaSM(6dP!V!z27JQ_S85MNTMtY5@z67
zQCGfNmHkt4v|IV6fh|%Kp+oP-568j(@33HvDEpA~5{?p4i1P$`Qbb>n*7N)E_p1w(
zPn=Z9;)W{;SFyaBM?PQ27`IF{`-*6kctXDf6gn!EU9gnzO-3PSLqMn9*~6Vmo7-VY
zvX~;)5izRiW)-Pa%=eJja%yx&5v5T#{N`C4H1ts_6sf;Quiai?-SJ(dIzEUYYJ8xE
zG7Jc^gkbL?&}A}sh~2uiZfz~=PfE9BQ1AsvE$D45LGw>~Ev&Dr_Pk)l@1U0av0z<D
z#PXHojF7Nt#^X#gBSZP#LQ^#w;!aoqYg-p1@E77zh~OoTQDE=V;eph%=`|QlFf*;N
zZf>L_pMW1qK~NglI041zdesav%KYmGRqc_Ype*g^*s$}!=hZ8aO*Y%Yvc{?N0SlrQ
z=oOlcHCP>{Ygxi>&0tz%AGX?{KLkcf0hk=WTo04yD!m5+w4$R**38vkP(zSFKJ|IA
zlz}S2Nb7n)yIU?~M}ng;rmu2$BG4DRHO8q()~$J=NGB}OS6Tc7FbL?;W-N~U5}eqs
z7At$wJ;eII!5<=W6`Y(PureFF$OX$kxKdjUNs4lE`IGuwC1a<dDb#gTAT|^HpEuhw
z>Brs6o_c}^C+6+wQBv~9*&20C%ex;|;!7p9DR><=GMA^Uom0B8(@A0lKxN$pE_9e*
z@%{Jxq#x#tCge(MhoYTj0xnp|KUOu4*Jo(IA>&)rROsX9@-ueN%=$LpHQlYSq^H8+
zOTWFy)!x{J@{VvzNeXc2wMOEj#aKUIOY3h3nVAJgE+|F(|B=!eX98?T?cP1#;1R4x
z#PN5^<7RGqcE0`}m9h+toUGjw%WV57wU01ue-__PJ+R$5#o2K#{Yv`e8*^&)X8{;E
zOuJtDJSuu)1L)TUm<i$CGKF_}u)?Ll?26qN2;{Lmdwmq3q`$pa*f^{zY|C>2IeG~_
z1BU~#V&Vu;?h=7?lLd+MwbjA;;8%-a2p$LYQC<`jrzctgpUi|Nq*4_lw)mxB6Hbbr
z*D7ICP~-FK(}4I#HL^X|k%I7Z*g?B9V%?*zfgNFhWh1YX0Q4X*f0zTt-be9U247li
zPJs7R2x$CyeP9~UUcYv2*ZmEaYQlJvKbs;m(;&EyL@naQu-@v>KOS~J^r&$C=0|w%
z*aiPB{y6kq@Q_34?g?VMW#H4SL!rM5B0l7C7lnb&QRKWC_y64W@dm>b0`%j>eU-A=
zP%1z<HwVwT&8I64#)f6GaL?ub33-~gj2+#Sd4Aj_bwHgr!SMTNVNP+w(>EXqg_y;>
zVVe>q9x~nM&);?~OEk+W=G@YaNA5=b-$O1MnZMU!@3Ogh`+4!gKzj)5o)US$eA|kY
zyVEbeYpkDR5fqyDpY#CzMc6p`k(}je!S#>qg=h=VAiK<xAiaq)YCCPZ{~&f|2yK;J
z_Hw3E&+NR6b)sP8A|62C7L0EQ@ij|0HB0g8FLaUM!m{jJV-ZsdG#tuQ?6ME38j{@b
zIMh|-9>43PVoR?XUpo@CPa8N=m$tVr1g{B8mRmqK$^Thrr@%N1-BBSd;Ax2S0s1~4
zc(o5V4QCTF<}JLZ;0WM=@Uw=7hMr+g_*P-hz(RT-s>N_Fa!4$X)`c4#3()c!zXRt~
z)ro!RH0D>q^a6NUN9&a@Avtd7n8fPmRoL5pV@G)c`cd@aCp=R@nkL)k+b2LPdgNRV
z0?Cw$7TicTm~92fKVL&!&_`eUUYyxMcF)CkIagZSfKZk#&t2I)>yGX9x=BfrYqna^
zM-Ger@@PYu007ooE0!I_Hd1CC3k(Lvh2hQbLD(t?Y74E>AOy}-;)jKXrW_u+<y~mw
z+d;R8Vb4yS3YcLf0cuZ2qOOpPdH5_bq5hf6O(iyy_K<A12m|B}hDYWP*Z({}Y(B#L
zo&Er&a58Z9taQ`n(baKltn{=_Syb8^S@FLk+!^$M%LN?37`LvpyM?HTZBxqxdD%8m
z+Kc)2G6B8IiW*7OEI8`wNmri`W*J~QVuKh_j=!?~9e?XvJU%=pEu*L``-4r8ZGDH0
zy;(M^w+invFAoymTm<9R?4J$j#{@)b0YX204?1N)RkY60BefjYTH<%46Ez)a5#Q{W
z8FRHSzKP^*{ZX;0F509ojz9h57!@`z?j1ulZG9m#>SK@ILASCgk;;JgMLZ(aWZs7{
zlvYwQE&P620XD|wA-&nRj4Ye)CBbtsV2#+afs00lWD+BY#QMM|z(O1BBEeJOky=!8
z8FHw%ifkx=mzFZ{+Iz4GpO28-ie<;R(muO7Dvd{bkz&AjMx5*9h%q<)&cPblPS<5R
zd|fc@=_ELB4d+%b7hx!=sWnpFyK}TPkWwBGzK`eoVvef+{5(rUwp0D>J1iG_E}6t8
zA-S8iTZq@t;V`V(r+~`$1Qt$8f7gf^?h{uew|?;-+1JZ7Z8qIseP?v++`yGOO*uC&
z|C0Si$->Tam6tbv12&Wk34F3(c`9UFDd=-IC_Wu~>u|=-0z?7lXV>OLAol_sZ`%WR
z1rKhW%3)5d-8_Xp`(MA1Q5f{zfPeC}cbWSyTkStR+MiYxdcv(*`(T3T782_<M_l4@
zaGW2e^jpXERK7*sf2`;Ictx&YHdx;An)zPPqtsdahtC>F%(5H@(^=I$ZMtsw4II<v
zFeb;xN?G=NZ^mm>9Dy7XLriC9XI5&0ckb7(%7AnfECbRk!i+oy6Iw;!APNn8&!7qN
zVbf%1Y<To3C{<kuFO>?APd#Oo{pgrFg?pIyETcez4xO&rcS<2dmLj#^xOG%<E<?z_
z&B^!C9Y(`9k2NwF(#9+SE=Pn<uB~RR22HT!n0%ug0<Czz-DLC)X6E}o1Z2IY>2bzB
zcMrckLA=o#SzzG^h1<UT7(BLem0!dQ!&uV|BF`<D4#G>0Aq4GDQ%DHXSjZ_Va@xcR
znUp}xfoML1UF^x~$#GsSc{oHwxWfxqHuX_{D!5g2N2i#HX(rwrR?e_iVf8dx(U1Nb
z3hqi_B_5+y?qaK0CPm`*TVj&lrmOpN-kKa+EoQ5+fgZ4G0}bisPpW!0_IKxB#vA8y
zMkWp+pq<_%8z*rs<`jJu(UrgNzcmOVyFoLZ2l0*weMgMO>KkN)3|rTblmXp#d6#A;
zyN_OH{O`ml5zhC9v@fjVXmgI*e6ud#Bg-e3pYh$ax}rwj#|{saNS25C|GVM-QNH|N
zQ2>%&NmrxUF?rDtL<yYEWFui!^m2w|&T%c}hR&2lo*KHStUOuTY_+K5#p|o8XHy7X
z$ZndUU)X&0dI8%k&V2)-)yUHV#!;aZyVBZ6Od^JGyvr!q1D^@FKRh|`KKMu2*x3BN
z^@&Ax)Z`PA%CdXcji=1UVdNN${(^@geF3|^L&dKJ$`0X4_7pkeXL8zi1Z<eIs|8%H
zUF)_;@ptV1dd^PqSzbzf-)TvO5@{%dKxu)-XjCsL$>?Ng=CU^-9%7q7f~Q$*sr%N?
z%^U(#7he1hVFJzsNJF{%zCi`@Izgse2fzo;_eHthjwfEZ2-pKAgnYxz(Xoj0;+PVG
zv=%QmkJbZ)cI~%Ew4hZkGKoPiX@ep2Bq8KEbu$&ot=ISWy$E=TrIcieIF@_$Cmj0i
zqs5PU0VMh<!4XUAjba`HVV`NzxjFy=W#xKx;2!@xclaHhaBmR56P~@Z@R`3i?K=a>
z#hVgf_12E$CW6Jv5X%8ypF!HgxGXqq>hQztS4W0f4y3oP{D+mRU!Xt##Z#|aYWed0
z#Zhrf=nq;NIl56@5%cj~!luoHIhS;>Oz%@Sevd1s?>@oY-?TDKkZ*15T93=ra%8=2
zSeMIZG)vv6ANf39JNA9|W5S+Ze@-(UV-*z&%JtBKgK^1Z#7h!cnAQb;rz9icVY<Ss
zfU8d9W)$#GlrjEODw81hwRZ9@(4?czZsFqL+4RE`>t#lK#)gUYv*AIPU7@vkJ`fs9
zw!Dh2?dg9vfmfR(Ecd=#K~B{z%4_NQl*VnrEiSe$MIGAO6}GKbtu64Xm!^GHKn>%2
zKIUVrrKDQ{9G3*2XEtW$u)5H$7go1}666}Z;}K{-A#Nu;pG_DyyA1$I^!mODFG;y>
zAB6LuEnNP1d}fJ-XjsR?tZe1yHl?Md0$-=z@wSGD?*U^`W1(&GfwAj~q@<i{LRL(v
zl}7Ztcf@<b6pZr^VJquCh@D;}mM_pwweN0}4d4V9dtesA-EY8nY(A>_S@8ardd<b1
z*;>{F1b{`(0pLOg5fZS?-?=!>gj6`3#I(S-Z#xh~0ovwyfb$<golx2?hh;j=6vAX$
zcuixe{DPIKl>ZVh4fdbljGZ%<=u=EDRKwtRynNa#Hw`IlXJ$-|SqG}C^z%61M!nn}
z$|X9R7Q&4Dd^hD*@=xq$^W7^z@%j^zrs36n-uI(Oh^Ij7;6;E-uUgtd<Bqh78fB`H
znObgN^y!R^*f_pN*_*SJIpV;ML(u7>Qf4b7W8=Z^<Qnqw^1>n=XVt-{&k!?F7Z}Xe
zZSYevfWW^bnr$0F(Z34<gBX|(wXrmoO0B(sCu!x2*5Uhv?ey=x>&j%E&PwX+Q8snd
zl+nB%e-Q0OLQ$ylSXtJ$%h&nK+J0#jAtO&8<;<OOw)%6AGrbV+T`-yK!S{)@s~;O1
zJ74?(LZJ`~c4YYrm@kTVHWmE<x(5USB%v310&(?>pP{TKzK#Kw48{TM$#>?eAn?x6
zN2YlcbA1nJdxz}T3}HY)1Vn8?N~RdZoq0J}C~r*=+Sk-vC#U0SCAjS^t4PO)gHsi6
z=e9E+M@fAtYu2-WEZqI@8@F!Ch+al<?tJ=;!zCweO$b=+8TShL`19@=+`mN`JpecK
z3o;<+pX^5<l#+z^1`zNS;ITJN{T?PefN0hmJjPvpeZMb43&IC&zVNpf@N7BSs=&-c
zM^63k!vB;zuue6Adf*~+I+E?8!HD^WSRMpY5RlS-T}AKF-K6ML*bisB*#&zjOpx%(
zZIBVBmz85Dk3U~|%jz&c?EfQ_(~U;SJDJMZeu}S7E?&6*(H>it_*G<;LqJDVfT~^N
zT(&b6+S4*UE#-K8iS}b`_-cXJw6LTFj}k@Ixop~mWkKC@(b<-cC)43`Z`3|?B|W7n
z)x5*&(lpe?pMwA(LcASKLmLi$uRo`y4d&@mR4F^ayS05>W-1dH94t<I@i|dU8GX#b
zinp>a;(87Q=#asSl+S+(^(`wFdo#j5Wo?`Cx)D8%f=V1Mklsc*5}&ZjJ{Z5W0?Lc$
zrzPE7f~-6)6jTqi(qG5-3!@}gg`jGO`Odl`a9;j&(eVRNde2hkffkgj#n}=%2u!48
z3p1r5Qs&<w2QJzts`|xDUKuYem4jF9V21`3I*9aro+WJaY|C4l4>mU|Mqt`U=oFfo
znwIdjU;Bn#`1)-3K<9}aw-ZDqSoV=!y!k!-FYDv`^y^RzvXN18D=nhE8qLu<G|9kk
z<c-K=1_cAgziTK1a|hPpuJ<J14`GxEW*|FzRt=m9Dy#0j`I}&oG2dMBfhECB6%5>a
z#E;j=gjYwXn-4d@(QXkeBnq2C$gf;CyF8-e+yZt_o1OC9^WePw)u*Ykh7x^|=eaMy
zQzi^GCs8LMVjwXC3p1I0D0krr`o|N(GZR%&UySi<<H3ye4s6bm9Gtwr0L&Q8|Bw70
zRn4z?bu>0lBX=Q1fF!xH2s@v8oxBM=)AL}NW^g9jx{&ue=Jo3@gK@_H-0NL>p!V?Y
zhra!%0nX9S<I~OFbFR#z*aGrTF<qx3<5ZL~iGG!JGp?1Aj^F2#0`EBG{b$dTpbuQS
zjnmaEItgX<l~l!3XorfT)~IEavUu-u8SB(_AmnC+LS$IVf-K4|A4%1M4YZp{0MeUw
z(h)=q?D?&;Fc;R~zM{3bl$B2Gmti)$yYfm>G7fKhXe5Fu@%2E$KwfE)vIudZvxF>w
zZlnZ0d}iHqZ|o`&W-xHw!Qlo?g2$8d<#`c*xRA`sXmvH5BstG&eEI_6bCt^@tKTc$
zEEfh9(AKWl!Pere<8WuH{It@i8=4c2x{ymQPkiMI5rv~C?CA&g(pG}n0D+pal5-tx
z7K&Q*$gD=}S}mSFd;sI*vWOo1PWWq@-W+ox%W(qZ9M!uYW>X}$Q)kUKh0kv7_Z%%9
z8i$RFpX@0uk5-SOB;M=|>a1P@eI-}f+!fd1bkHdVyk!dc%Z=z3OOJDmhB!6@A4%AE
zEQh*BuQ5W7NH2I8@jd&Ai#F~0#d6?h1!|tW&u51nF(_mj<v6T_Y{NcqZQNQaXj_2q
zhlMW#-{XRL-s3s2ga{P}k$4|qjEm@H7BJ^Tz%xX^xU{q+hpHLEK}Hl50)bUtvIc71
zB6vD%IeTKOUKKS1b<)nUZN;&ed1{q*`KbB9fFq;))sfh|S#I%%EQRI}-HyEqhoMnk
z-T8W9sM&1`vjh%S_Re2NQGolZb2z1%POm&d^+zQAlnVU>YR*n=?ViUY!mGo{zqHZ>
zWGG2E$<&_Mhx9JCollN`wz3G!@HPQz4eK|A#5Q<uKBuQs&`w+jdkX|ALdgVz9}=*Z
zQLxg2s$=|1pOTyXEPRFTN9rVJGTH7jNk2>%xNbP89D;PU7A66p6KhPs6$*T$5hXxe
zOGSL1bH~qJln(hCZs(6R&ll)JkC}9*KhGd6$6VWFZg-`o2Ur<326NzpS7_99L3`5~
zSXPdu&uZ{px%9N77(<Ze5MJ$kuxfo8I1DXjq9d;-N5q92P)LM>SG#ccOOXu5WyraI
zeX@73HV^rF8r!Bp!Q~<36!vq$h}x)l5fFg9j11O24!e~XGob#1?T7R|+z~Xk&`Y$~
zJ`7F^AVpS>oEm`s)fXqkhUaOgbM_P$CwzI+{xsOCnz^x|;TyUtfZ!FaXzwmUIG5&*
z;WJfLto++${^8zQ>?@w+Lr$x5KD!0?AI;ZGV1jUf{9LoC-yh(ZLXIq5II>doJdYf(
zkb6tc;M5IXQ&ZS?z&iC4Vv7X3R9Wxu#3P4*J7kyBJO(0oWzn*Ro{KcHl;vERcrfEW
zT4IwTQ~Z}Pq4y!_$IF%V$<5BC_b-=cIe|*4_3$s1QY<|?cdqZ}zXJ*G>ySi72h;QB
z7$bKwv4~Lp3<uXPw3$;h)S!Y>SJG~qsZiNUDOmfn&6L&*NF1RXF3@g;-S9L00DtUc
z+s&W=T;Ir_>G4ZSMz5rr6PYP4PM872kcdAL8WoiZd#M4(!pO+Tt3Rc5uxDB2RSD$E
z@O!79mORbFdX495U;IYyP<R$q+OmQ=&^-_RYUUq($ye9El$B>+&Ug3H-F2Nr6KTka
z(jR2M+tc716m3ovfcjjVcPaVt`-wvHJ}$7rRffT*1NIrqow18Oj&S4`BrziB1BuEw
z?FIO}x^T)bD{#_P@Gw;Y44IlM_{{V8{CU;EwfXk(r`Ac_!NEcT$HoZX2RxE7TQJLh
z5<fr|UEuK&R>B4TI<P`4Zacu<R*47rP8LW*TJVhi5`9$y-Q}frajuoS60&$wYAw5#
zb|+}qg}Ye%bOOJ&q_f-=?J0lfQXC1zr@1My?%M-EBTN7o;{hV45F5zLJOEp^wnbzy
z2?Q+T**90ef_x{qbTPMliNKcyp5y;Zd~mVHWR$>QjF<-MyRG5*W0lLwmY{4{x!9`$
z+QP*TZ5ptk6qeQ_3W&XYGRi;rF*4Kj;p*qHL?53HY`wU7Mbf9I+(;Lrb8Cah!ut2Z
zuqi0D6q}qrzi_p6^dpNTT;J^-(56GnEEnd<jngvI8Wv2T?<%4oTt)i!hJA&=?hVGz
zg<~NIcX0-;Ehw>o+^MBCIBs;;`-Czlr=j_qV4abouoeJ}bZ3mCId0eXK!VRw_=F~W
z1FvcV-(5T9H$n-z<t&OEj&#I$JSZo#pu^W)nJ=cZ;z@9Y`kN<})jh4Jek6vduSXQb
zdJlfS^MioT<|m5)Wo<0W<kR-)#JfKBKM7gpV4bK6Aw@zr;5S>F!|P$$7lq?s^#WXK
zVILiykg!^$G-EZeV7$@>TJf6M`uZU&cFvHR&8CDE@k+pv*l*kboZ_QA*N18ZqeOPY
zCAwBbDq&P+Sa{Kkd&^3<ZN#(MX5l&AZ}z=GIq9hR+BTg*d6pt`AV~CFNQ<26(0RrL
zbzI=o-*E)T=%(G*lcQD7Mc`N#p!axrdEITBKXK`1fgkMxG?wk)q5tysA(gj(2)VQG
zC5f4NuaJrPdm6e9;fT@^(p+4O82D8{-z7rdZ`-SBVmjRzPCv|r+`z=`l0*$&guhk&
zP=Dc@x9fEmrx5{^Vq@Vy`^hz>hu9;{n)}X;dq-M51uaH)lCN`JJ-@-x_;{{8N+Ouw
zEEC;2W0qz}bD>k#l!#5{RQG8-w!1b0w1&kC4f7dpcVlT~B8{^nU}KS$t<a-3Gj0U$
zWt^0oLQ(=a;a~!kt~Ir`iZS25#!?>~fayJL+&%z=x@VXUu+Z;@tW}zekjk=g_4K{w
z4d6odbRsC!cWRJ=kyCzzLIYb0^PVKHCjRoSLLMe5>4$sjjBhy3)W&*78$}LLYvfp}
ztdATm1Q2P&e`-s}1|~yB(ISkd4@K7QVL(-o6hgj&=nWIyfaEgosO#odp+TAw^~8#K
zZxzb@Pxp01Y+OomYi(wYhlzb<YI>Rt>=expa#<<nZh^&r@nXx-SKij!Qpd&(AFr2z
z@Pf~E+oCv+$F5+tY>_Kr8#&c*yw>M>`5vyG7<thZpjLJ?dM0O``sQ_yCbgs(dFrkO
z>aW7O3nA-Wi27UeB?g+e!UDO<WI^2D4G>{2*a_}WeT~}NJ2{*cN0Bc9LrG`BnQoWc
zSTV5?0UQvDSa;t&85ztE!<m{aAmJcpzI0DsykbFk%aBF0n4MRZPyJRNa#Xl3b88jK
z!cab=%i#|)r<Y5&mxs$Wkkb&1?^KQNMgVBF0DPQ2=*RL9oe_}mK|xq3tpgloG{OwF
z`%Wxz2#5^YX7YaU78WrZJJ~P%l6^^#xD(*(j$gQ|*Xi2^LNc<`Z?t~~$g;xnbKf@h
zJ;-nY7E?#zBEjRbk}rh2{i*mxLa`5Nnx6%v^s0Q4e3bE2NS)Q6i1N!LX*NwBIgQV;
zq;0>Pri3KX`VJ^NLdOe(9wo1&6omWp@_iI4g#N%p&{za4Y<d;i-$N!`BOtCB4&v|v
zioj1wnOiy6(r`WzlJVeuZ0_t)cq0o`gC$pF!oszcc*E@@spHL<t?SL`+F5AhnMQOp
zr876?vhrazeCC@t!7JQXKzYLO^q`kxi$R3tcqNPw?-CGn;|!4d`slu@>PL*jjM(eq
z$dI#6OiZa;4H1nC{>4E`nx`1k^x=581w7yBnVB+OD@lPY-rDxf7JhLj(8W4hu9zga
zr$KiYCRD!*tB>Lh4{W#gM+R!I`9lAs!_h$?nm==W=U`PlrGRU`YbeD%o3pup?BlP!
z5u19tp3c7;DlZA+nFb}0jU!50B=;vaHp_qVQ$4&l_P|(MKv)%}v++$8D>zcJXR>M)
z?w5g2xV(D{a5yZ)V*{u+ZXz$+Hv<_Ah$@W!kw6@gz-jAKNgPZ8x<DG-b^zqP!p=w`
zvJ6HXQQLRTHi8T*sSxwE(|JfAd2&YKL-5CLX!wdiObz6zhj$JS!Pf?G-5Zq~t-?mH
zLy(JwV}?&LxHj(akHbzg)xL{CGU$ptJYV0h5Yp!kp39lkI@Bb`(p0?iBcJD`&6%qQ
zHb;*I^GOfPkP*@SxRdw<qoZ?|xekOtw^a9f1~u#$1}O<R^%x5?GJcQLaM53W{wbAe
z*?R}+(u=??kG=rT+@aS1f^aC*Zrv8xZX1<`ukk$rBHzzZe*74h2Ym{%T<={`EDkQd
zX1u4!DEm7pv7xL{S(k>`_9jl3uRi`QJIkm9{mR*j>v8|YOq3u|^NPkZIGZcO7{EVz
zOYKYodZ2myewCE=_L!qCkQe%bY)yBB<Q7A@!+XfA=o0c*PVF_VAt=M&mJ!w)sbJdD
zvv^bjG7N+<>TIYzbBrVnS_Fz?FV)y87&&wwcnawWKGc1_8l%z8nO@X|W+~j38#Vif
zLhfZD#Ev7<qyK#fs3|E8&F2!Ve-d66_ox6n!<A4(3p;pp1Q;rkG#DJ2Kz4E;o`5On
z7m68hR)(M*K?14%my;n7@*FI%u2&g@JrhEUvAF0be)*Q+n^>{PNRyz@sEgCB2(=%4
zR)d!ofv}8hYld=H|FtfFRLT@pjNqu%AXKL>*fmNr_7L-mW?>e&7kYoYmv=O$&vm2N
z6(#;4%B5^OPWt7-&y_pHvmZ{SVgK&kE3CDnRAjdXa_{>mkU7l^T=`n(BQ+70lW2AW
z-yHvbl%%u_HODO`rrhr#6Y^@iR6R`<g0N!w)}rg3fm8reGM->vrYkcx&@Z$dyo=6D
zO#JR~|B)XXdt7w%%i7scHfJ5pnNdmEGg5mvIDd>K-f%E>P}!f$l63V@yXL=6^*=R7
zRB7E%S@uI$rY_q6qJlf_H$Q#1)50bcbkFN&v5eN*y#&o)jY|8ocOkF@qKdPZMtzTK
z4>?~Dwe{WukB}mYSmdDDn(wMNFc^Zj+iM~~KW_`HRsm)j$_2sDhiV2IEBb`ap!e0Z
z3CJEqs52F~LMEqYMAE=}RiJ(9leXpByl4@CO&m;2Ns^-lz<@JYDc{vjWFi0EjLw5s
z_i7bB&L5YvIL9}*Zpd2c^k{n?z3}_Aa^pzrzRlHr{ys$(^m>e)oaelZbp0NE%TPHf
z8Cl+^W9$V7FcQ?s-3XI;u?SJOH8wSEG<YcLdQvE?BYbm&l-VGr!ry%3eyTeRmPMt!
z;2La8;9F8#TRT^Ma+F6xtO>xy+dP+vw=8_d%@_I2Hcf0k4jO~#JT<p^rEF0oKLPfj
zGJum?mwNzL4jD+?N3$9!<x5~AV}U&qx=A4r^X1qVE?_NdDS4nD`sopkG;`eOtUS@o
zY<U}1hLUv^YGhr&{;&k<ED_s-+^Y%)hFZflZFoX~7AnIN(guowAFc42OAVNlqk3V{
zT+=2L_Ygry8NDWcFwF?<lJy--TE2V3#yCwx%F~n*L--hneF9F!PMEvHKYSS1AZUG8
zSqe#F_N_v*kDN4ca57X*F_D^lh-TAVMk|qor;&%#U3-$qc>T^~;e)looR_wDUa?bB
ze*B=FxOLEp9>IMTIekog;9xwGAibBRR>G@q<KH@cY!OAoS^tgDo>{h&;U7uju5<vu
zvzc$snjy~A$UY=ngB$U!D9Z9(K+b@0HsiVT=Tsa^42;4b-}qK2wx_Cj^rv@?Ejz@}
zfq}u!a{<JW+*>2#NCnrQTun|+-bAcLfFZZJuv#vRzzx8Z%Az#}KzQn#*eP^eX|JK!
zY(Q|rO(rxBj+oV{@1vp)_vPQ8RLP!oJlxy)B3vWf+p~4Fun2+d>(oYm=>4k{d<%Cx
zZ_bh$A3M0Yxj8stI~knB`)5c=d-?lxQlQK~0QY)COyTAjw}9;DJr37o5WZfP_D-AD
zsXyXFEi$Qy$00P*d~-nKM5|)>@n{hw42ed1`0Gw|X~rP}nn9bPfeHiv73fpSb+N$B
zTXl8B27mys%;1#{vfB~%!jj;;vP$wj<<VITsnzZkI;KJ+9KY8ahgt@~hb5hBDHmqy
z|0os(-7|?HDO5tQ!m?gqin75iwkCGZ|CLmJ5UT)9)&j>XbLPyb<b$-R)2UnlF$>Tp
zI$Hy_GZg55!t+mu0<8LV-!AH|T7fNm&>1ow{g}t_oa5nz>vUg27hDVy$M?OMrj%x7
z5^IBx_Y#C3^(XT&jx2L|yr0ZXY#U}@B(+MSyTs6sUtJ;dyBu8*x*ng@tyZ*eo{&$K
zhBEuy5};8v*?$m-*)g2Ur#?yVaz%GkHH#qo09`gAk2U(&cg_ag77rAr+`X9O*7JC8
zZ_ncr`NZ>mW1_FPS|zE3I6}aiS?;$jumIYxXfLG`vQFWio-QRT+%Z<!?ELxX|C~Xu
zPG@iIM!Gb?T%exmN3Foq45TPUZ$=J|rVEbF@ao!wLJ8>=)IsZ<U9OF-4v(JPdl3?U
zy8wMG<mzv1Wy?@vBf0owSg<7Z6)kCyEfqYtt8YT?rhJaJ`ddvhDxd=}g*P8r#v>-X
z{iQ2ae*p0`hwd0Tg!rBRJWW`lpn@<?cBB6<>El{z<E>C%$c!@(uaLWC+Ida*1?R0>
zs_2&HC|-F*l7B0S482S3vIm%ErXZa#t}pg;MP_^*N%)q_yvvLRRr4<B9KGDqTUKc3
zgzaqxID`Dxc50p>V$+Sk`Uqi0Jc9}z=32s-lMQmiAGTR#xWF=Z9Z91yA&M*mq~Qk>
zEJi08@H|v*ZHR%D+>fG<zJ7iKS03iJhor=4QlC5bV?5`&&PmZx_@Z6CLK$59>j#h&
zwYk|v5gz68=VUWOm9#rZs)a&9Q_U$=vE@?D?8$p&y|xYY{^Vdca3is*kx)4E#@w{E
zJekxlrQ2~vr_I+gvKlQ%<GIZJ+`!;S>{{(%CE!c?7$i*yXcGO2h}IzSPWXj0b1fku
zokgftnZvu9&)$yQ5i>#+-wAGmE1id|!Y%t^aQ0y@tqdO6s*F6(m=G}%N<+uSFV24$
zO5?%`f@t92P@TU_`<cKWt*Wrg<^FBvJI|u4U|_F7jW)-%NY}9VcIa*pqyCW%{+4-r
zb|xn8Q7!Dh!{L6HS_%RdSeCGuAMUOV0&b)fWCPvsO4Wg79OCqIiGpG>^eFl84B_3>
z3V<jq`(WieLduw(ML_TTJ&h(j?1nqQYlxY68Js)nn3A&(dB9J=0f=H6E)3vl(h2(B
zdB-Ct&ON{-VqYadKH6(yP~ctf<|6)FYjA}5k6yz(y4djYPWx$^jjcv?gc$Kj5ZgzS
zE8k^uxGL3?=ODVQ(Ao*6UR0Fo`eXMqX-SRPein&loy>N%Ua4cP$A29;fhLGx7P%&K
zx91`~qANNZN3R=O?d&YOX5{GTh~A=_2AkA$ARhG3AbUoTRhN9qHLen<3$4(UKt_pa
zZZj<r#@dA2M7ESg>t~Gw7q8>txq2M<OI}pm_2<By8taU;3D;Xf3*3~JYZi*;Ag<->
zo0K@~!N<e|9c8#U&+NTi<q(*%&JiJWn`%QzI-;{@<#lFPT$ET*m}6V3AG9&~9<Rrq
zwk0%uau~{9+^qnKJYoYQ=iY(@T*9`pAp&scNrAbcp#+5o557s$Ac0@G%gELNfuzzP
z3LZSgnqn*~w;t=l#*1p7UTtn7Igsnlp#yXz-HCVq;oc<8sO(b>^e^kp(;u}u)<5kP
z?c1h}^Cy>u%Odf$P0Z$Yg?PQEqxtz1kWaAQ84^FK;-4+{PJ@ASADDJQ&aI;>n%Gks
zr~4XWHiQ_r0ToLMj#bOI=$*=O7*X1hWeJ>Eh*Aoe^Nsc5d5%9<&$2dyT6uXNZhL97
zx6gD3j3gusVuz7|zques>u%0j!T~^!XPToX9gmQsk6__Z4{Y9N9m$OWvvmL#rn<}D
znJDbD<)cVFh8`u@{X9;%F+7d-DHP<C(WpdA0NkP`B`i48f;>$)xc8K0v-edTPtq9f
zdp!G4ME4sY?@NP`PqotAD>&KY{T`kWliA#P6_(422{?O)lK%N=DV<YSX1=*_^^?^|
zHD6nuNMg#Z*VOExX7p*~kq-a&*l4+UQH`?L+4*-z%e$UG_fH`^%R|$y72Im#Gi>yf
z$%htfB59qNGj=l=J4RqVn#~Mll(hvOUO!VyHSyxKgbov9Zhcks#Yxn$wO$7RA#@<y
z5FiJ2exb#{`kUmB@cX>P;SsT;`D3{<?<{YM5pZ88Fxsj)Bp$g<&9+#gQNI?&WAJ*V
zWHLxq-ws&`08>6JPjs_gYWigyTW2Y7^AI72V-UJjTyxO8O=y-@d+J9_5(^k#6y;>?
z7%KiVCR8Vmfi(A%UpU`|cPsF4R?EOE&+pF0*8X9onXaHts0?j-8P5j~*ZzOjRxRz8
zpH9@il@W;m=OeI`#kl@LE-|#(BD|KykR5kf#Q7`4_^6<OfXw3W0?VZ`;AJ5OJo7M;
zXguov0AZ-2P%!+EoP;~D2z<NPjLWEm@AMAblTfm6Tt<k8-o4u#J-ZVxVAMz{+|UvS
z=*43f29SqfgG+O(;W0aWej1yzkvKyH+Gl`T)WG)e<;=mB9*0wCoPGu-jk~MT#J&^l
zqovl5#aqVu?lQ>`_+A9k?m|23uc8SM3l{RTZ9KL9eXM|z{oOv}OAMsU<>GNB=^(~b
zw#K5kx_BpAQnCgyTH5DYUu-Fp7dTFv2fP4wSzplv+!iwGY)*Q5)zE<6UV#~R3@B1i
z92&Vd*7%KSrPmnGY4BXzC;_{9N7LSzQ6LeF{rK*6C0){oRY#v@NwKLz-{gjdBKgFP
zNAE~*8ib55ajjD2l7x9ez=VsxkGR5_l*MnRBR7^7xfNuS@^<<l&>P&7F#;5%&s+83
zf_p_%o_~Itpt3HuCajmmQ~9xY^BM$i?aY7644MR<?C4yyc`n<Q$1q@rS%|#m7!h;a
z0sI){3KfM94qs77(u2hW+uGL5&|rll9N&l~f7=1J3zSgTb<w%n^Y)BN^-M<=^)y4D
zw%JE8a@0iR7GRSST>1$nEbP7aa)Pl?ios(yiSC34B0v-9RuBu5ol(y|u*c{DBe#TQ
z>gxtGLhMUmT;)`r3n>Fg5NdtU0)Q6gXYD^xzWWdpWB!kP>+MP69(?0J<H!=s(H-zv
zhe6YHbr)F7wRtXmum0Gbr>_s;QW@)F*iU8+ET#VwL4nCo^kE&|Xpp0s8z-3wsHt7;
zMf7s?u*2ZY#VQQFz%CD2SVw;iVRQ%xMla9(2?5PcAsdra%=uerwlyf;)YO!FCeClV
z&V9C*9w^H0-vDZ?N~8MH_!zm`qn)QAvJMw|`JbHwx>OOB$uH5!iAQxcQVP6&mMyyk
zxNu(ztVYE!a^)jNzjOh*(zy#2WYN6f-CLnsn{cern(J!?tsJ|BK3-{2ZDUq>xt)Iz
z{erwPDeK26rkNpVCqE@qGR8jaQBM;U=SlLf)Ap^<h!s%&B^6_LmG|)g)#-_s7Fwt?
zr`g^Y*Id7P<w`eD3~Q1YjhDn{8K<d1C=nbXl&~Z7Z=g5&!=5&n-Jok7n45>S<uFCn
zhdH|NjI@otuY$A1-Ng-|L(t%;YCU}ym2MHh73u2keFfBaV4IhKEIoB?8?GZkByaP0
zXE9)7*b9L51!eKSwYNTqEVFHwoa`(SQ72TbXL&r4Ho3W4R(Tcc0Z4b?8hi<Re{e<&
za;qa3Zz5_;1me^!4`@r<p)W{)wWbO(EP&L=IQJj*tCEt+&mgtevD^}dM|#oZv|aBg
zH;}FbobNk9!ZVn!O#vOW2Q+BIxhGBf$IrRTG}KKqRgAwfQm<fpfhxX2I|KKdj$W2=
zMco&0);|Hut8;tGLez85CX435IX2`Ad7a?;J>p~h{N+yw5HEo?pO_&Fwuz{xzh`QF
zl9-q!4DBS-Zf#Uh3~8!^sZCVCS5)2tmG=0fl65lw*Co+=gT4WeG(<9@_z(qF451Gz
z7dLm?g<n9rDEXA;QZ8}BtzID-qJi>r_-34dT-k}tsN+mB;-n<gmoMP#eq_@U2fhiX
zew7Y9+yx1<Y3)fIj9)-v1u~m#Fb1&-%&T#2K1yB`e`374crlIKcW*zAr`~nS%6K;z
z$bjaK>GLpsnCidu!dn!gWw*x9jwoW2gS-#VooL3|iMxz4;sSZz2RM>SNVphc#1eBU
zbQG$GpYKh-&-u;Yc<XGyux!rhE>qg~{CS#HZWw`c6l9Cb3D-f-tcS5Oy$dtXapD(`
z$Vr1-)ZU$IwHoy%P#o@njB`mSQ<x>r{v$~LQ^8dUFBt&Sd5~o#;FHmRfgNVVZZsmK
zMm&ol3CexsFVw~Ev&K}#3n-~#yoe^SPlXSM;zeCIhwR$s;lSE_ru6q=G0TJIXdZy2
zZonL@j%LMA)*8fGhJuh#vj}~U4w!c%DKr!#$GwS^?D<1=hA-W=POJ}}gXPZ9Yu_7s
z6;IH00J=>(#t{<mFfpkc5xqm=t}Xju`BkSrg6%DFsCrT#d@&xnsa&k6pA}wSA*g8w
z+~&(*+goX?&VV*0U;cMdZboWF;OBgc@iQO57TY@gg<V0HhYG|+`|$lseo7TxqtjVY
z+~~SeN$PJ)m4=I1p#8@FTk~_IlsD72MxiVBt||0TzkW_c8ud6&@7vc<srpgMb~rAc
z6J3l-b)n}EbqQ{{*EA8zDgWF<U&os%EvjC|a~QfaqT16ER8bQy+?AUj5s$dkw6sr)
zu8=RD3gY~J!p#{T5pA5G$II@ljJ0)csQ8__(bhj-3S-@9p1jZw&@`sgGByXp=k>tT
zf(lpuN~rnoWt%@z{@uaEXsmhoP4m3tT;-Lr)VGj1T5LHCRNY`GBQvo$@eTlq%mEQE
zqtkVo1TxTLPfp=@Y2_4FyEhT7<_174Q1Rm7^y*sv{&>!$+Tgdfo;8qEy$9-cvufTV
zKwvTm|DME#%n<0A-|n*1(>cY)5$JscOA7D5hISGXPu<>FN#DP}0CtjH111TmdfeNz
zq~&ghYxNGWpL+p@onkA017;+aDe34?QrazBku34fk`U9i)8GML*sMMboW<?~xvvsd
zcJBH5v|!`OZV1Nzj?W{oj1jqj55i!>qmFute=qvMuNACCLg-sXGc^wnkGG3p=>j9_
z82c)=h4pHDK}nJ8lqaf3=3b<wpEt6I_9<DG_=I5ACsoPC_(eIZ|NBJX`R%g96Jh*O
z!%fE*#ZoAoudHOO=UsH&h>n8(d3+Na>ql{RTU<89jv~4r^H4T|iAaTZZ)*t=eJU6X
zs%DdYq^gqq^QWY?TOSqu^G~^t2TMr1X+b1Wl%ro=)ji5Y!8`%L6<)DUaIht8!^D=w
zaX>b=_Y#9Do=03C|LlOYOP7M>VK?jwv!RXFR1)0^Tj&<LRY9!IiZecAWw{{&9#?gg
z?_^sW`&POwmLE2B<c7ijS~@JtMRs*wS~f^?m<LD@6Y<Pm&K)D`0{e%cGpB&^eR@K4
znk4=VxMsqF8^tIK%(rF4kIVPouB@!=Z=Sme@SbKId*M25uWXG(c6Ao%Y9+X_iHRLs
zKa<g?PXKy#iLS|h7ns_(fN&zl9)RbF%a1$3kO&+?o%m-4;|PQJ`uG$t%076UtCI=+
zW5gX3EWgrg;n!}+!n53z!_kwY1bXMOQ?ARu3M(o^bm7%SWcXk&_}y&b@2MiOZ174O
zS(%%}yWB?}xwe^)6%Z=C54$Rqvjs@qK!Qnr{uL3tHQ^Ws@JTiU&&m2=Q(&eK<qBJm
zc_I0cP{J~qT_JpTS=!DC%meNOFPT8{uw@?-QUOmt{Q!1djuU?F+~qGOT+5jt<m7W{
zHO`}}EsQ;lIF8ec7H4xUV*cYubkoL@60P}rh2-D!_sakqTTB3l?VV-ZO0d-%jE>A~
zA-ptL!mTc>YKs;W&5NE8XdJU<)p%BPec^XP{kT25T&cj#YctB$fEUD*Wu<WuAZW$z
z_2GJMR@U3J7bl3$Gf8}QyoFcY+<&=C?kojQ^Q!6^<A;x*(xN0ajn`Rlx(&hDsmu~=
z2G|L#qJDG$sMYy@{3_@d4Nz*2Po1HDCF#adoT%*DWs7Fv*LGF4BNg26pmU4OS#moe
zCjXLimnj#AoMLm_tj<S5p{cDcuUD+sab_sz8nk}Jb>_O>jK*&6V8YUNfRxnTY!Hf;
z>6*+Wyp%FC%feKTH!Xy61A(>w`+27%I>0SbQGLw>+s4j&kmP3%{apAU0WbAFa%xl(
zsD?(iKZmW_FUa*J{Od}%%lXUyQ63~Kw*?8t-L{z+PekPKh++Fnz_6A8hC}|_eI2zS
z3}h=XIPHF29=#|~^>pS+@MV5E!D0K*+|rrLe!jlDhSlgxG8d`x!5CDPpbihurRq=`
zgfQ~D)e!w~nc@68JXz(sCPX)NoX7p>2ikyRHk`W%R&SVB=Me|dOjRUh5C|inFEAu1
ziS~{LhZ3Z9b!Q*|O3{e{kM~vVw|VsX(j!Mq2&ox{Q46UfE`B3yHy(kaG)4bQ$4srl
zuxLf-D<4)jY{UEq1UighXUz=!Z}0;witEqy=DcaX!bIbOC*4RK(3x8(f|76SF8X`}
zC2ak5St(EJoTU{w3pYOUMah6|HrpWn>#6>+kVq+@-l&^+y}4v<^omx&j+$|Th>VT?
z%5$QBQnuxkl!{y4)vzt@G*Mktt?0?qKZ&ddS2)}NoHMt<u`wdv^VlWWvWxO6Ev$c#
z{c;mmd2<RTm!uI67(dYd{BGs$t}3KmmTy8gRr=GfDhf9F1c%<r7W{Li{nfup(FPhP
zx|Sy+5Cw4cr?^79${IO&*BKl_VkjGEZ$^Y+BTsQgwQ~=N3GiCSvjwl74i5jUFU$M#
zvTw4vf##hxx$C^qzcgIlhwp0vK-981B<dz1)5QH&d015yfKp&eK*R%(#D8TQIMY9N
z$xr@(8KoMK{L3IzP5sG}7xiAz-|!KI_!eN~SQi^kQqxza*ya#t%-#55bmsJNu;*b-
zkkc9-FSR>Do8mPI0x!xuz}=8Xg^GzO1Ie&0)9r)E=RDdL$gpSS<Lh3o<?BjEpm6>k
z05uB1Z>e}uG5;gs<R4!^N3p#2wyRYF)N6{)4S-dEo0}Y1YD5-6BnT%oC1CX}PRnZ0
znP^$Db|10&yy}i^MY_3wf|qq+>k8t2tj8&_*}96cNa}nWvH8gUVniqQxf&rMBHV<E
z;_HW-Y3lRB0p+;lKG9rp+O=81`gbopA4;uv4$;*Y7`Wij(N!r5r)B&IA>Rsb-Vjm%
zCogi=XKJ$?=NvC-B7#!{D~><=PP_s%!~~QP&!i^w9d!}VFLDY9e3Cea)3X8zU4MX*
z6v)==36jeJ!gYXn<IN6Et}{nwiGa=izrc6hanVQ>i&TpK!2@nxm)OhopN@*rd!D}!
z;~vpaUJ!C%<W)N8w6jniJucKK7db?`#C}SFnwhZ8(XW{yJI$uECudum$t-7IoB4ZQ
z*&44EuX%KAW}}8`*Jg8a!kh81QjZsD2|Uzg5r?xgl*~G9abUD2T>TAJWAwwbSP8!v
zIJcPZb*=4zSCX90ESJL1nEHBLO=l?}^MguNZ=tGX^#_8KUe>J`1Bk@#psMU_Aoh7+
z3^^^S)4bTS(=+w0Z<+@&0<Z*Tw@1-#ifL{lIWO}wcyf^yx&!nu8J;J{clM@2QFPy+
zogSEJ`6h^P#`=n|{6CzrRfQu*ij{rnc})QtaTE#T{-TAJ!%jEgv5$z<{?hl%V+MIr
zNazbdAymAmaJo=1GO*ToY#4?j_M!CXr`TN@gRtWlneEUIACdrxEYSt{<e(;a7RVhm
zmL*Bue?E4?9$+BN56KZgilKcIXR-1e_D@oN2Cf0w^L=F9C8qLdSi1KGjV+0v=L1VT
zMfw35#l`Ls?^oDoY8BtF8+oRXQ_4K_HYVs(l=f385%8c$N;MV!Sb#cba6&@<ws3h)
zRTvq81tdN@TmMdIQl?UuPw?^aL3vwr1sOB%L`~G>wv!h$1G(qW0Xi%6=B48n%4~tU
zv_>^+c0RsM>!)v`ZkS2lYwjHGL#Kua<BUe#amb=;dmIho0-8;m4ryw{Nd_UY9En>)
zx8bNT3{pM-tn^DcyRGzu!3Ka+tMIqEANf(7keKn!vP*eS&eh+~4`25BoNW@eiiT=j
z_U|r_RT(5R>}*&2@RzQCo@HmcszEsKLJ+aN_9K<>4BNW;c1)M4l=v0WVv%ybXN+~#
z0!=rm=npU0S+x$-;G1>xk;It_+-P^ZAKCVg#+ZyI3EFBMQR;gI@b;PM)Dg+&gWp>m
z>}}~q3*|rEu)%^D9u9PfaUZO{3?@lZQN@MFj~+u%7=mJeW_@tky!prvLFIqx$8ex>
zod7!jH`v9i7@of~L?1vmI)NV4op~8EP_#H0V=l4=C%9P*cceS4`gaWxoCp3pZq&KT
zGnt_9eG&W)Qo+bzfaQRHLkqDRL-HhE0``kU!zU~i3#=um7@s+lN`k|CmwtpcY=-OF
zXJ#@vUOfKh+GkD*$&TRNB9hPTRNt2hn7`v5kTbEc9HcRZ@3;U|54hmN1o!QzIKyEe
zRI^)QNk7Wve0emPWWPw;5uck_lDFV#%5c!>FdehOXL^re%R;aIUz%ulYhuVCJ-O<q
zxj*C%=9f*hAJm07F~_urEJ^)fA^<FPa+pns-Cm72>y8i|sS*3nB6mw7wtChba41+K
z{~$Z9ff@S-)B_9@P}-QUAs?eJ9VkC~B>IEp4DF253xuj3E~BF}bS{ahjv*$MEqCdq
zg`T;jHO}`q_~r<wnrjOOX&J$i^COs?y{z4U?r)+0TM7zn4D(MhB0vTl=kh~Ag!Luh
zT)4ETAfbwS&b+9>%vejUkf1QC!1TbAeJm<m<EfN5xCm-88`0`88&9!!c*JGbzVp#H
znV};d_*2Aa(lI_3d^N(QUc^L88L!w%?lE!a%cH5KTw<99PuG23|Ba{Z4IPsCq0>*c
zla3?eU(}D5acE(owG3JcFU#DvFVOMVZp~=DOP7*_boMz%<aM7`Qn0~+{(9Ja_R~w-
z(<jhdA<<F^bPRT=S>TOx@kiDk2Dt&iM;{Zs*rvc}X}V*8eM&OeK>vg5M?01C?M&|S
z1+pv8hW=vo5?e3e4MRe=kdQioimSZ5T`UK>70%!82hnC$L+A$*BT{ieOPgk|O+f$`
zmttWoC`x&i(-=q3XrFS<xHUEtif{2^9?~Q)HxbX=cpo)nA-20(I!o^|2n>^S1Q$e%
zU!dWhUR%a~teHnrdxXqp2k&TJU-?Fn3ralgcjuhbg@yme*Lw$I-M(+Y8nkH`l`@Jl
zS}H_#$tanTtU@v?Q6i$DB(o^1NXV9vJxWGol)a+NtR%9>dtA4Ae&6T&e&5$0&x7i|
zKlkTzUFUV4$9bH`!OHaeljfJe>lPGjz^RFWUP?l?_UJvD7=w<}%^vDXYGFB1LQT(u
z;+~Z>Hl33?s#4amYw(a)+-S?<$*uQ~WUNfyEmu5u0s`35+~Y`>d1cXhNl`kbxbZ&s
z72Q`Sw>Bd>E$;5_W&t1FF6i;&_lA;cry;p%5%KA?X4%;zBU!!Wi3(JUn{jaH_Bnk=
zs;LMni*-h7Ej&YZpMEU?j$eFt#WSsTGxgZhFHpZqLjNPd^zrDZHNbsKK8FJi2ia9y
z^%ws*@m1zZ-Mg=zov}0edOgkIYnGIhy{Wv=b7S(-;a95cJZkAH%|m1wUWE7ew-28E
zDRWDzYj)owt}YW7^=06mxFz|<Z(n68ynj8zuj#<jGP#&k3Pnu9;&LhXtMoN1Ceb!0
zLKn8?dflx>;Cr>ivjSqD+0DTLMqKMtOB;KV?0ODXnpZyi{{6ekk>fn2Emj1pk#_*x
zH%CV5h_S7O(iw^4CX2RF*2+?S371vC!|z?cE<e1_tNk2%F3)1QjTBNi)!W3fH~y>k
zq`&oWw#6Yls4bwk&%pD!T_1P(b5SjH9AAT-Th`pM=<eMRDfv~gKf8}kJ#v*z4+{&6
zjDWE~T1)&x@CbY5o+kkjO(XR-@sxkEY3+Iz7Gh1q3rz>iFJ21-VU<TC)Mt~^4OEK#
zz>77&mgtIm=MEKghN<V+(k#O`S#m9?<TW7gzrcfWO8VKjC?siO#_6NZ`=+R?Im>6;
z()v#+jrP1fpa_MFDxCuw#?^DyUoNZkJ1HFKZlSb6XSQ>}_G)M)#0ekTAx}DJvWx$)
z-eGd+b=w6!iu=OdsGF6m#Nh04Hk`LK)!@*x)XP>iFR0dS;Lu+zt$l8r(WYH(^C!Be
z<RGqL!Rfw?i-#wvFon$Du>^*jNSyL>95S+3R$wt$8uBZ5Zpy5=WfQ-tTE-G7SEi-|
z(#sUix@6`15GMw7zY&WzpGvR%={c{J^lO#xBi~E&5hqG2G)(K>dC_f{IhT7<XtY73
zXR0ai1uIVA7d(gPN6$T(lo1h27x|UAVm{I%kIw9hlB~{o9vyd&<;z#h&ni%_qxi8=
z>0apGks0VY3A#^{laeAe2Z6xGTJL2|ZzEGHGjgX-`w@*32ZRvLctI-}(M{|1Q#H;w
zx%PVQ1oyQU6YFG<MgG}{Fvxw=BlV2vUS7p;)+~i891=l&H@#*oWUU^x>4d5HEn&xn
z0m-)-h`FJF=`@KX*Bsc)Sz9YRP5xW+F2h4rnyed$+<u8aP`D+#aCJe<iQvVJzzYr{
z4@>Lcn>CQ6@?Mpvl)j#8H%BKXF}W<CW%vQEe%g=bd+HJsq}iVf?aC{Mu{W9}Q^Oh9
z`8R}?FPlLm>hYx;FL}I^h-IFlEtQj(|8+XpDWG(w84k<h?KHtF=oV9n9j5x3wk+F1
zHs*5SvugE@yyghEZ1Fq&A{JFGn3z^f`mw1+>fAfYXgSH(l-<&{6jnPbIc1`~nabx<
ze;Z#L$QjSy_6ii~hEHBP_w$c{bUGH^HKiwXo`k12yEPMw<86c)Ud+HqA!6(5b(059
zgbBMIT}Dk!p|R4e+3d4<+ZF5U;QrV7*JIvk69I9Wug0BuQw6TlnW({{qM|;Gy?+8#
z=lG0csauRKs2jvYSHpDrrw0_n)KYlsX&l44J9*1@C9fJV*zn8p&{~eedXvt&6Ims0
zi7MY-?DNcj|AICC+GxFuz|a?_7@W=TDo#zweevz(V&|x&E9|XwI=onle8jhDWi7`J
z*p!r+@R-o{fwXGWBVm^hn5`wgA5!RgG<-o;6+#%+6NBu+jl9AQR(H#Dm^Xy<dvLG*
zx}w{Gg-`!z)Gdzg@oyNats)8wP5E1%qUz4jA<%R1*aG&dN0v@^$XY3iHVxRKtOsP8
zYwodvY#W!AYu>m&c%Z(_{RZ+Gh~ApdVhxdi0B@=Q7t=41UVwwf^G@jQnq%3#`An1;
zbrOW;d;$U-&=j_{b`0kf^*7M2vit#G`d0f9g=e5ihR^A)W)>(*g$u4K8q@|+-*%!v
zoF~mMGM42#LFo!mc})p;ehzzh`1^}Xsm2$g$K#o2E*)_li|FYcKF}0-k>hD2WgVPf
z=G-z;vT}Fh^U&P5zCQosH)=CWF5KdPx~|dHZ5F(8y63#d!n(JtUL#jg_d{(1%cGZH
z?n@mVdo_K*Mb;zV{5X%v?6<Yv+uxJ+veBmKP}4Q*xHFnhYPEc1*rK8Wq-ESTZxPj8
zCH=?ge}qyPwr<tw9ULEO(}SN{qQRo$`b8!FlApZ2Ip=d0wM{n{^M?KOlXuL6MzRv~
z56gXDUrtmpObz$c%Or@W@A(<p`{jV+D+pybwfl4r@g-Z2H|)|G{ND3$+fA>IyZv3O
zf6tG+`g-Kt?xhr(jnk0-gKofT5xHO<tgp`ls>ZTng`9#yEr{do*JeQt<#e=$AP1$u
z7S-5mQkA=+dZVbFweR==$OeLnm-)=hbV~Wu4xf5$n?TS2o9jWlF$0??^Xu(ZYJoEg
zZC|J6-%y}{(IF*SaN4^>%G63p*5qm_<xW#6jSx?xgq*Pe#Dxg#=;>IaycH|>-f_^0
zO@!Q|-P-rqq3)pC-lNWbD{N}lVL~U>OrL$(0oh?Fby;QQVwO`Fq%_gYO4pm01K&Bd
zVL>>n1P~8k)C(ukLi_|aec#yC9n__()8im><~&7d6FVLMnEB0aGL&}n{H(z4W}RP#
zM-)%L5j>t&(G)U&I4iEHCT8m$YD&fBYp}yVN4)!b7n3l<<^iww-@Yo*yoSucn|Rjq
zfmv(4bMWl1y<%BS$0xZhOTkOlG!;Q28fI6;?As^-!eY1&%z|ZFt>22hf6Z>B9l6B4
zZCk#8O~>l8>re3~@Z>ADw<t2jMtKVBjOM{ikUegMo&5%<pb#QEQ!szwL}D&P3A8cd
zb>4S;Nu|rRZmu#D8V#nV?v*nWBbK+Cd+2WJsBL#W=GUg7;UZ&FPS3ELWkOkH<mfur
zkf4Lk^K%hbrYA3W*S6p8;$SQAybG5qNI98SN4OJl7#vi+tn(8x3)Da-CVvVA-biW+
zl56I#%}!;5)+3<y{)<QhMpa5#iQyL-2%pI0eft#Rh<d%Ym4fe&a~Q@lI{d?LR`6oW
z=~GuxwSGr*yPVZJvl`--Mse9c)SHF{i_bT_J|{M~0K4YWE{}4TWG5nfS8WzR9IBga
zhYp>_;aP>r$Vj5M1CqU1<0Xvv{>T~EeTI3dYnzyudLGZ#(UUXg_U+pPVY!deZ?tYe
z161(6T=YlW#u&^*Wa@}t8#wLB<i^L^&LDSh|2bBSpvC>XNxV+Tq2l$J=pqg-n+B2P
z`!Mrbq9U*daxp6%DlzSQ6@}~8xlFXahy;VoG<D5UquVyamE0S+)HaAGEV|AZyp;<1
z$t(ZlG{FRuuvfX737Q|ruMbiUDOA=E23u4WJk073yLQX6!nooR<+J5p_z`^9c`dDq
zmekQRwVp|F98d`3H0)$qNhh>%ThdN`nHyDC2CD3z`S;{lZuD)x%%%7uHJmG=;3)<s
zU8(PP(yv-uqT2a_&HIxn*K>;>r*MEYsjpYf78Vp7clo)tzN7s(l|(t2;YVveQ^ygf
zfAjF8Q?(2Hn--5W-Ur-9r<orzOvQXV6Lr~{*DGJ7Y~qZ@Ss7avCcVrX1D=pM4UPI`
zBTa29@Tp*wDHq<p8<=UTfWc&0i(YI>>0Q_HvV6i&iX13T0fQKkO0;6N8E8;$pMuzf
z43XUpPYZ_mrsLd5Fvx44G_CfuCxE*`3#k?&DnP{bpzEk+H+>1@rKm#cAK4=(Pu1$!
zd<iGbo|^g-0SBYx#brXKkkNd(*SV4C>;o(OR=ps{q_lMr`y05M{_#$tq9;S13jX`0
zkqdjYUhi0w&`m>sp@<WZf~=>=FPAkul9Nht%na)xZMlloryy{{lH<*(y{ZZZG)FQG
zcEk|jNS3w>ww^D!&x{cA3OYa6hu0i9n*z|Hw3KJE+kI2yB+1PWs)YcTN<AfQY#eDp
zRjO`(C2lgUEN?4-$_vY!O4~=4{P0sv-??|-1+BZm@3Qg!uF<L&uyUxeIH3OhU2^94
z=tXfeb8Eg0Sy7^2w8mwx_a_e>j7tct59{e<UA>y`8+(+@J(mH6^3QOmW1zR~H<jsv
zmlM$k3|lWH|Lml5^iNU>o#4>$mf3wL=Nd!t>}eMa5Hz>A-`^*l{&3j?dcE}=i>Yq)
z5Rq%>Xtm7ceJ%Owfo+=!-IU6}dBttp%jcg(u5i6?lm0|Td{1kOsNNYXYP%W%$&5|E
zY$`<imoFcF1mvyhC!K0p4gJhj>RWyZ<!!^{n!g6*5yQQ#H81^usjl(bD0opjoVEdO
zV_~FptoH$LESD!|-Hx}0Xz_(J+HVoRX&;{E2qsFC&@+q)^IGNzUBhHva*sB{8*D}u
z$2nqFiYKjc$}e~xot?eE`71?6+%9HxF-|^2AqIlA;#OhnpM5t`QfL_MlRxh`MA=Kr
z3!rPjNWYkJFR8YOdi0So28>{s7q<|h)1Aw>*x4l!39|O&PUs)L2g9EL!HCtEtu<h0
z2Lo64Z~!<s;bT!d<RC)~d+u-7X3?r74I^9oye?6Xo**lalZOXWc!m-%BzjFLHcQf<
zs8JH>aEOqq*-~&Dr>61~*)ty>Skz=n`uvzR42Knh>cNtlPWxZ|SDS+TqLx+k#bT;9
zVPGLSs-cB@Z7RqqyDc5gd8@)e>e}M)HEZ$cO@x{*<feYq2Cg-A=;F)Ow3uNCRcmfp
zJ#a;sA$|rO=i+-VY8qa$N=jb4zg`4u<9F%m_1vwl_aFEf=`Ks3-n#fJGbzuTucAel
zLj7H|3$6Dz<2)y>7kn<8XWl`PU-{WEr({c{q2_y-=q3*d|9lzt)$`@k$ejHukD{|y
zE&6DGvZ%N?21(uhI}+OG*t*T~eaJ2LsR!9876XbUg9T$*KQcek2>88qbG`ok#r=aQ
zAOIVnJ|)z)oAbx~*SddufB$KE#oaz#i1h{#p^zKwoXFFY+MYgoq|$dYrX9Ds7F-eC
zKC?2r4c6_7Wr@9*<|AG(L~WDz9DDH1si^pzu`}V};TaC@EAD3?RT0g-M0wmZaJND0
zg7Q68jk-}wDQTLL<7g;n{CQ>f>i|o2=plb1+Akm*Od1B?a`jrPCJTcw6;;*a+E1T9
z|MBLfW>cy{u<81d7n*0dN}>DM<2zea^h8^&)0i9t#bYL^zu}1Cb7-=00u{;fg|^l8
zvey;v{8tBtHw#)sL4nV1@WajY%lA`vUg&K+exp(9`NBoDuHDk9M4HFNZ@4D;C!M9`
z_epMxS_UgTlmpq~UzWOdHc6~YZoL~kwT1$Alv{9fzfwKN^O}8|cd2NK^&9c`NAuNA
zTS#vEk@Z9E=FK^z7cyy8MIIsDO|K0S;5V!E<qMT5wd(gzTWzG*^TvRKCUD&l<3616
z^Uz>fzG8Soe|<v2k3DQ}ZLM})Ragrrbgb>hPjnk-+E*^+`-qeaW3I88S)^MPLbIHX
zt{&&0@g1$>`tf;s=#-7|lVsYz`9S@^5aRb?<yKHj`@X{!L!Ir=U`n<5=>jBo+U--Y
zQt9t}tXKzncP+-v_NS%U{WjIP)_5MmM9-S*wJ~@Gd9Ksp(=*_ae+NXx{hJ>!Kpu;2
z=eo)58+d@s44EQz92>9N;t6qgJ&><XHO1Q|oVZ?2O3l80PymplUTSnAv}q(tS`=V|
z@;zuRW!moWcv2veW5lomAp;IK#0HTpS@0>0!B|}IL0qziG=E^X(d?+rDR=yM%o91Q
z2u1!9A8yr_cr)nnH@}NIb?W)zCEyuUYhHNPmFRHo`zJ|~!zx_mDS>LXXzE_d+q%Uo
zv>)u4lFYQ2Qi*FB%rV=PXMUopR+Z8C*9S3E<-M+V780CjX;}4P1T3Ze86<)@&v!Pi
z@SmoozVBBId8Rj&DMvgZLfk31g|>^kCY4?~%R$p6`E|k1wbk2b#Va(t?4Lf;U%AhJ
z(bWiF^_dcSx6<<RH@goXZr<ZbyPmHSj${+DL$~6&M2?Z@ePQp6%?n-QdR>L~jRVWC
zKb{;oNIlv@q0fv9!ITgu@I$7(V-s^qR`Ur?jvvd))GYQEnB|L|SSu@6PG26*Mk$o^
z4k7fBp2K&zH*s6$WaQqgRuJq(%ANde1G2qT(O2Ai;FgIopx58f${66f>WKU<f*=DD
z=R7_V_-alYGx*9-@UU<xT_e~M0=1W|BLQf~HvXioK5;1XFpA(S(_%iwU<jEfI#v1I
z*b^cCJZSpNBcfW465l2~udQWz5@m$NfxJsQVjHv{9xToT3@;#?e2_@<)bp3$5Cjb|
zPCFw>dzz5XYtt^Z$&W7(4J06M$4)W)!P9!9iAjjx*c5#bhpt2K!68ZURkcZR1`$vo
z&as#u{`Pp5X1$cu*F?4lut-kWs&F7AiRT;Rt^B*^(dQ{0oPtmcFS>-h(|al{4=$mF
zxUGoTWTTF(%O*bxpyu?7-*rv>VFQo)HgTQsp}K*QrbVrOUQz3y^LHH63yL2zb(<H~
zgv6=4OR2fV_T;Bl(VPo6>S0|6l}72ZD~?m|5)_V?mW{*+zI?kb)>^u$`$=`w<t`><
zeR~<%eqHdBz5A={=eahtXJGJiUJFNn{BG-^m20_KIIfIZy%9YT#<lHa#%#PwXF@`0
zFoRJ<Q_1Hc?dIT+wQnDSp=2S>`epdoyKKb744pKzI%;XUFVQ$YZFcm@XL5`T*)l|3
zzU0;}xLVwE^2<--+>HpLxSZ0>&O3K|-HDLf{%3zwP?{Gj{J$e!V_O?9*-Lm9APqE6
zZ$Hn+zWu4rHUGsA{Etr|#Wq8#j~puF^aWkr=ew7m4X||}hEC8A#?ek@F=*6%IE96q
zeiR4oRezG<p`oT`=atjjk7Jwn(um<&x5*5YsK=YN%ZB;K@AlQjncWdUjYVwts;Yc~
zf?~mrRKG4xhL@nlDN?s^JS^sC3rk(<?6<E4Rp1Yoo-MR8ajZuu3{fhlJD8;(xc&+!
zc*7?T9F!BCpU{t1z!6^y31e$G5L}Ndy2%EiHx}jsb^k?1U8kB-MTK6+XClcAule15
zr%bEVY72+~Ux#O(q$(V^&Ie_1T2o40`S$U)BX@qcoX;8kHK1VkyQf_Da60UFe?PTh
z>MdE7)erx}KXN}*RG0Q|SlWNgxv>rkkc0idRz39b^S<!VDR8a#UAH^m*jJ#g)Yc1p
zyDsk=g+CJRGq(SN_nMVL8#iCsr&b^$P{}~I0mKAJv4NYivMxZq)lEQG_FO?HG?f@r
z`@zX;L;TYNHS;@1X<}X%DN51IyhF*?5`Tc2y&1+U!wv!49{=#W?HcjZ5ZXOzk5@^|
zTrIjXdH900!?feEiJ?pD>2IGYwx9D)EI|8RCZ)a7Uq76LzO`H@-sYq48BWYL5Ks0T
zFa(2>fuZ%j|7$VJ_M_CH$UFP6jcciyw9gJP`0U{3E=hG|q@O@zBYXeOHxc`9u|*Kw
zh3$Fs#F&OO%sodbZB{4Z1*lS8{M~ow1O?E==GB^?o8`wwp9Q2-2cnC8QY9=Cv>fM=
z;-)U*T+sQN-AV%c0!3v<6osM!*F4_ZR}zo@nMFe<H5%q1y3LNrK%qGvgEg3zVA51G
zQh4HHK!f?sf6n+LUhiKt-@mF9cu(1`bELL(?`Xx_wCwzCU&e!diFQWwy_7U*{)KYY
zH1yL~HvYH`=d?`VROz{#R!+9^a7vk|zJE}c__=K-WxSFYE^1xjPOv)kOn|HNJC(OM
z>wLzZqtasij+ZaLUbCJXGtH}$4itWBp?0Ca1jCM%eokI~_f#(4o6&h4^hSUEex)x0
zm#(q0TwIJ=SA=yO1K!0d^_Rd;DY|zzeWk>}i3$~;nczwBJ0WXp4k{}v3v|9DjPyoq
z34?%5F&`aHkmtrvRO^YR0g>Jpc%83WHu=~;at^%PWuqB2#7`b6m)ukBD-UFPmId}}
zM_i{`#9sRn?h<y>gK3~ZB$!fW8mU4AR{A)teHtKktnzBP>)StRSo#L+>iaBqvV;Xp
z##lfk4Biq8p$22vHDyA{b8tUL*tKHAnjgU|4C-gticw?dTsiu&>7v4l75?x@T65I0
zC$m3(#E!KrQ9DuJx%oFv;gJckk1MH4KKz_tys$#vUXx5Pf{C|^<FmxF80VdO{#lw@
zkKupg{DooNW;o}P&kEvD79^VAL^7S%()<>KEL*<pLo!B3EpLOYopNrQ?bzh)Z9_}n
zs{2%bQvztmJL`PXIr66qM#7F9)%H~Q?$YzI_GuY?k*ABx>vDQUUNkGXcONZa5YRsZ
zd97%EHVz5;Qf0Fp>`Q7*C;}r;vM=SGHvdnF5kjFg4Upia`gXarh<_dZZHaSY8YE=G
zRFyxu^+XG~P^Tsy#9JD5g0WmvxdG2o-_-i><4lA^3w-O8!aht-?AFOtBV-;7T;Aci
zG=y}tj!;mRa9i$+?8X_Hc8<UGId5~$4I47F2{k@7iTgmD@wHen#GTIaoEr<}Cn~nX
zuPo4-Ak#*p03WA2z5FIij8^}Lrd32;F6?nb@|SG<!ncTt@G&R8ias9bIC=egI`X-=
zfUj|Btx$10QISPF;acxQ``35#`gV7@+eTg%CMRAjObcYkU5c>_u$-0nvfm;K0#J4q
z;$U6IJmc21vpven@A{7bGL`9VplJ~BHqkN(I{8Y)Y9%eT>z38)xN{HQ+9tQjR=%{X
z`c|2U)=X9th|o$d`^_KjI-ta%O@06Uk$gI8SHEzS!`ThOdep9W@7`@-1d!To=1EJ>
z&BCTKW0q{KA(0n>fe>fm{n~zVADnCkS~98!Ghz9iFi=h3b-;kvX0YkhH!<pHiCt9d
zUYdvZe?263TT1C!Swj;Ld?J^D?R5P>Wfn_uVWILUrBz;PYtfB#^o`X)B6^+!38!m&
z%%!o+kDvg$PgECPzutd4e~DYhMgFUOYO}u+9N#>iRfv?A&d<ZyeH9Jbex$*PFSbvp
z;tU@}-P=6PN`#7uT>>!>6Y%5Yjp?f|M|V3KO*#nzWqPq6IW$UnjKQl4hS>}GjxD4U
zR9<9=671Q05AjLjJq0nK;4M$EV@W5a4pCrW;%Nw*Ub)v8D*?>x#(!8WI~vfwl9O*q
zHBn^tWT}O)Q94DrQ_Gy~lSNaC9CX&NX3ar=dsJSc_%kx*SCoO?U{p@S4o}`FY*_jS
z(oKnE3a2Zk{l_z`xw2HpB=eX1q+M6ESl<>syX!j^mR_k*QBsZj>NjymURD)r(9<(;
z3-Pu=(*Z*iw=m|f(j8p6^FmkD2iEn{$cA}pQlVdVgG(vwy77l#$!*1Zj;M9o+}b8B
zEnU3y{+6v=D)!H89Tb)?=c|%m?sjhd{;#%ja&qB}M@JbqNVJ0xks?MNDzTeNS;Jpm
z<K=rO9WPc?^xKC{iIMBwOeu-7s=JQqw<S%_Bx;h&`^nV3#T@M<yH0NzbEWsB+fAw(
zPw~0e^%u&tWj0(tm(Q#)AqB9BbdL!L2{q~FGL9QIRyGdrmf8~{6Xu+ph_)B;J0cQP
zKrDQpJTW@58)Mz(#^+IyV5&%vsAv)w4AJ1<_drQg>*pJ$w~7}xZ`jwY{jHDKpIIdV
zKwa<}M{5;eJJ0s*N8p#V5|+SL=H*wZtp*9#k&N-oI*7mr4Bi#5`sNmtoZg%c@t_mh
zY_PCWknaG)I7oyGXq?NQi#G4P&k2*YO40G4xXO79pVzx&-*S!A5#JqMw)!IM=wD)5
zP_KOoN|UxC9ERWWoxzmF>>>X<lt}VhBd?<iGa1He^w!iQ+xsgrFzxQ4EtKb*yPkPn
zbcx3A&*FKLM_Bi?e5-xusiCMDLWJpFSufAlcc%O`s#`p;K5^I2x8OZ~&byk%c?$~T
z9TFTJUkx<;Tx_-Nb#z}`S}a(~%=JjU&J2iG<fnVCTeh<N>gmXS-~ZkxfsJ)$IebKk
zhE3c6>pPQGCR=IOmwc>FvfIhKbKAazjBu`|L5|KFVwx|;i?>`lVo9au&VA*(2lwUg
zyTjd`dE*ps?eJP9QNTUz*Ry=3q%;{wWAx@<#1`TIiH>5O5f>OnxzxF`pqKuaS5;r$
zwPC`N5anowW@*9MXcnOS@nU5*Pde@ulI#ng>us>XeN0?LB0Fx{b722|`zyx6K%aSg
zT5EEHH=eroUyc3&uAa_LW3U}B*4N*a^uyG;9k2^Xa9}{><e_g%gGbLpAsJQc>*5>^
zz)oX02b+w*Ru#!rq`YA%5B=m%A)VUPb18Gf<-!aZmA_-xs~RSqG~~KOL-`v{!7FL6
zM4mg5Zt<*iow~QLhVhakkLai$_&KdhwswB7<q-WL{pZI^N;Ph!?Gf>P`u@dY=Y}Uy
zE=hVr);uSui|;=0TkCyUQ18ZJwSuKa=omC1w#G>b`TQ`BmGEUBf5&w^^%WO<k6y2p
zl5&cMW_R2ZFE1bj={f*;LId8;I2ud2FMdOH^!3W)_N_~uJAZF|@v}{rDL9|29AhIE
zTni_~!tLWf72-)}Sv(`s-DBriHhj%|fx<wgq~+glK%h7hf{1=+-uzsa#&|sdX~JT9
zvkrORYf>{3H2Fb4%!oAt2at+%cyFJ^uQS%f?qj7VE%C)){&WSN2%r0;0l~<t@Net`
zUdd}YOX~XEN{qB12EIObq_C*S&OVrOT|ULNOU^`{n&tW;YURBD$|{kYpXP=_S^8>Q
z93=NGT=`Pk10I~hA_b{1yDa6G6WIOgE1>vlSgp`4bMw2#c3}R~{>r^l(!c0Uwd`zl
z9S^B>o;8;BTf@Zt`lG>nX<9K_Wo6&YjU2Bw3s?Jm|EcTkc<IWM{R!!Cby&H^sGaZY
z3h29Dtd~COv;APyBlIqi)s{A34sreZ^*p1Z%z_t1+WTQz(9E+fA>_lo&D7CnGv@PB
zBPE%+xlZ%&2+1yu9LQsyILVeR$lqlX84@Ca#U^9FhUzD){mGZ9Q7atv7BX3?IgY$f
zn?7|MkvF)xXJo|Ld7t{91BM7z5<Mc!f%M|6(tu8PF`Ybc$Q>vAzSi10%(($w<Ke(p
zSV4)fQ7GvxN1(;sv|Z*JvJFZIslO?^G!w1dbRDM6o1;-pPp60z-YJB?H+)xCQ!^Al
zBuaDyK(h<uqTJc&YVNI@`|iMGyFZ1q$yeoym&y4Sv6MR%KUxb6n*Xq#zB;?sJiwt6
z7y6Nb=aIk0buQV?N{MwNhd6oLXx#n6b)Nbr_{54ZOSOx?*yi0e_2le@Z!gYz-vLo=
ziL}RT=EO+hs?0!>j5{g1;zC)x@0D{MXcliUnkfs<85mmQ6#enzN2{y~H}_G-11zui
zJ4CyoOWFMH^C|CufM`%*Ryuf2&PQK(%oW!X7%rh^Jin7$Q>jXQv6MX<6c3P#yFwom
zu%k|9z~s0|5!ZAwRQeBBFwT|O$4_Pj{5ovdy$O<<ti$tn1m``esnk{nS4Ubb{x&4B
zu(;T~?$R8tNjvpr^Co(I@>KpjszV>j%yOW)a`5b1DvEI{JVRyZ%83aN$ZuzEr2CuP
zS{VcC89CpHWIkuSBRD%E>(}eke7%WTe~e4P$a1Cig9i_$zy*<CGXRt<QE~d9e!=oD
znB#!Cs<@F3XpThbsClpA>Aagc@IvamHVcS-z<VLfR$_n;v@tQ5pLXjyllijm4rAp|
zt(xGoswaXJ8VPg>HXmie%uL`4H!jba{B7YzfnU8agBP!~E?HzEdj)-oYP4psh3?~o
z(U!h7jNH~sd9@;(pAInxourQWaL<{Zj>#nQV3*JlpPtKlUgAoA<I~T~reox^k6yK*
zj#Q?${4#8`XaplFRo8PQX6O69RiEjN-z#9I5pdy-qWue{cbsBFA7s@U9`%MFbwOXT
z;oc3u?v+!AGW|n5U$Qdk1sJ8OHl^!3(k-C73pYI^;y}j{;_z3Loh92$XBZW+5B;3V
z^EVg9QK_h8OySC+>+t&&`0onPXi>j-@uDxCGN29OU|7?4M1hE6ARh#m0@AS-cUUp=
zrx*Tm8u=8LsOXnL!$x#ucs}KT)L#10N_^cI>Ym35{H8UsB-AxO@abOCpvunPEqYD(
z8J-knY++$9o~mUN)>b_>UcEgy;j^R0kEqdWQ>n2rJ1d4N*d!M&|GEw!$IV4|o7HvW
zvC?0#+X@^iU|{>zvw!HP!E{rsJ;RgzbMIre&}w}W{g@hX-)ZgJ!)T(aoj!fKUD&4b
zhLlP3n9-pJ2}shbt$NZ{eF*V7DE$N`=YO216sB#~u3L9*iKuqDy+y!^L9V$5hAHKl
zH(=X-V}ZU{%lx0F47r?;C&ufUUf9GB>KWXY+8DFY1flY|Bvu9fZycf9qxb6vY)Ys1
zy-|0yg5SP(6>`z#rWLVL6E&PqwL>8~ZHgPq8J`Eb9vVgBr|hOd9Gk-2AS5LiG_+q3
zAo~-*nZm(L0NlN?$rUPB_YDPSd3gbqJVs%H*iZcA88iUPgvh?*ko}UCW;ZsV8SX&2
zV_)UIvA?sMYG=V*hy32zl&Ji+w$O`Vy4gu-`BJy98!X&bC4<}2C{S<+(B6NDtkvUY
z(36p#`l$Q4d!i%Ey(Qj;8N9s#@*2c%blNj--(H+Bn3iG@C}vxQf+-r3VA&MSr(-(S
zpQZ2T#jC#ZARvC!Y~ZCEH>^c<=HKnNP~0<ldio{3^z<nSmrVmdR`zqXBHnv0AG@3;
zBHVx~B+rWW{*hY(-f!EG-B$`s>>SBpMA_};=GON^{=tbhFf&hWzx}do-nLNOfS8kS
zzqyAhl6xZPn8nQDKZUwePpwbL+M<P89vc)hT+BH@*Gc{{iqb>F^kgf{)FRRNuAMqk
zd195CtACgk+J60*xY%VmOXQEitikCUuhN{?8xaU{&Y5=M1LugivFa&5s>hHVgi4-@
z3x+QCUOMyo>@AqjbX}W8aDtkCY~N*spMKcY)?ygw_^yF{$dU+%TXiR_{C?`>WQ#(I
z0MR;-w^*Q@UD{vId2v&VuEpk~{qHK(xzj=-wc8L=LXm7L&l*=UPX1YLGv5L<&5uS}
z?B-G0kQI47olr(E`+a!VV{w>%PrIo}BXue7uC}Wg+wUGL-L#%vM$%)(yEm}+<-0J0
zkSQrC_>bnKwqe9YWx7)ipDs0y2W<z7m{`U&Qok$wI+jGQJ$jG!CT-TL<$Uu!{!Sk4
z<=Hke;ytE?M?~fA;=_synW=w!s`<9b=tcGAF<*abd#P;W=z|SAr*xEDRxAgblwFKp
zdf4)3_lO(VbYJzzQ^{}plRi3)FSS!zZt#0ytvQwQjVwL!%ue-VYt2X-Qj(0kG>B7g
z7PUKgzjcd@$6}s-qAU%=qcDUZn5ST}O$8Hi)~M^%jkD-PN4>BWaL<XnQ-{Z4sQqH_
z07vVCu<j-C!o+=e^S-lAa7@@8{o0_I_8BZYr||3{Tt17bTM)hO-khJcNlWN$&B<~I
zrW`syH7<-BhZ<eoZjC_}`BH1Wnvct`9U2ALS@S~Kt#azm)}F{>yMM$IJ<d0=66r49
zkM*wa+t+#7N%q~hVw3n{AxAMWFYg$gD527R+uVHho8K^@3{v)}g5<js!Zh}3E~1oi
z_TJuJGNTMBjObx!wy_Bf$+<^|ph~V_AT>JLwWOx~$2oze1q@5|X%Yg5pHVHYC&qHc
z5;sOha`!`VX9dmwg`l-wi}?vFbm7j1^dUnHLw!ea0M&V-R+)PU)f$v<%3d4-sX#4Y
zvY2A$gWl;?W*SRq=QY*0T<>r{e{t{5oie1pC(_Jm2`ITdh~B%CV|`L`G65*l`j=rm
z8swcAVa!M?k|v@q_>Al8_kwFoSPZRp{kx&v9I4%`jni~ihcwZ_o1&&B;?65+Y2&Ti
z7Vflj$C;Yi(f(zoEh*t==H~~#tjN|LnH8TKFK5w|=2-uTP3rdA7Ytc0{AaX$tD<L_
zrIqR9s#KzlW5Tbws+)1wMxN1^+m(3KB_y?A^9m`cG12k)Lp|d|x64{uZd~ZD@V6CX
z^|Uqq(bH1dV^ujgTUKT!)|36JCpWRybG(5qRVN`vkAjxd%LYCvua+72uuz}6Ar_Rg
zk2WjHBD>z|u?y#_s)RSOI*iRlF`xP7+VYN@TuX7^sV}iB%7o=}Qru#8B`HY8Jitwg
zpSWZ-HW2C_ICO8cB#3AB*xI%nyAx$@zj|oacJXqDdePVTA5IflRl#9(yjyni_{zE1
zOjFUA8p@pjX_C)bYJiUX;FNCy-EU%g+w1VV5;|hn5wNbX+(6-7j0uOq(fRp+*=a|K
zBNzl0$sNxb>N3|$F;;fl$hR#OG{6bK$Is`cA3{L;aSGQ_mEoOwx4a6__GL1QO+41^
zsEHSrX?^$roRJS)%b0Yml~->*$aP_wHz9ky)}@@Q_WfFIu8uPutR};c_ribH#EnH%
zc=w?s0GmC#*FKu~?0M5?PdBd9i`wkkMP^5__L#&Yc??X8CdV{x6ie#$>in{$d?wz^
z<&(Uhv&`<h)D2b_KN5J>9#wb8z_S13XJ{us5`8rM$nx=Ub;d!nAE5?ZFKX4bc3)@)
zN7Gf{Vv<G@yH&Ig|3uOfLH8?Zb<r_lg0ZsQ$88y}k$!BI{+6yC{;K=a3_TXsI+aqn
zv(%%-Te?o%qO5){kIuOfV&~f)a)<WJx#_R(?sPyI(0XeAKCicN3al47P{D3g6q_`x
zFo2yxpx7f<G3XU~VtA<t0+ISnDJH|fy`(KHES_}`W9CF8Fd7Ay1`s+b8|(12CyE4f
z*L8(p>|{7CZ+7?YrN7X2i~s4@X=8)g=5S8{9tCI2;uyYU*?0mTDTX66J-mwDq3|AG
zbA8#C%MvpX1KazPxENCv*2Z6bI5C?h@K8^5;#kY*Xx9AX)V2Pr?$tJ0ZM`JkIPK3`
zKKVMZsQAW#o>zKWr>l96)nD8Kw&Z7_xwd-O-sIDqEDzUITh5nD7b~4154s{%d%ANa
zyI$L5w;FfmRj&DbW;yl^)KaC*aH2A(*RgRIvg$r6)C+(5#q57>qgoEb;Ah^QW0WIP
z!jf}5QoPGYRsa6hYc4=x1>+>WPM`NZ)&5F+)&yLLvV^aWT<fJ?zPb2C7=*Rfjc9#~
zAmG}1Vi?0R8>W@NSvp`K?*Ua{E}nN7?%qV`Zxv%<rOGNnFSU`s2=k#Mxl!2K_!*PL
zUhVXKI~1P>iS_k=y+h{#New<zQ`60STDUml&E<i$1-)4oYaP_JI4knT-<*Ec&okUV
zEBJshUzS|`hZ8TnB!^GNZm51JFxLEex30?@1G#d?w84z;8v~3KwfD@oT5B7l0ptom
ziQo97&q>CW{%cM6JU{`hjr#NXo%XB6V;9zvlFO;8QUBrYc8FO%Xqy{Lv&0=Mq`Ud^
z&S^9iW>@A)c&}X<iU(@K{@@6$5C=w2G+!qN(7TbAa{Es4Nx4FL&x!Y}b8Fwcc_Y+J
z*=vGig@IUA2=|2Gxil}>Jw2cEAUjQ?YzTvaPJO@QcH2n@?}-Tuq;5`Q%pprdLVb_a
z$(1%D%>9KvO||+DuOCo<P)N;u>1K-S@Ml4>*vXkS<vP}@6}Ib1dZ1!sI$xGKb?UEo
z6P1&^@<nH<XorN>buwGlX{I8Y6zJX<tgWdgpE%?>W`~$Sk2MMyG|wI`s%Tr8uF6hb
zjkG3ZTP1qp{&U}e|6Oq3a{|l;je<`vj=WUarIottVrFkd&|si>lH8eZkz3Hb;AMeX
zb~^OLJD%pvoG%M*o1oLfFxYyuNHrVh%J5#F)@sFN1#F<4ottu&3vqW2OALm5XJReL
z99Dkm>da9n+3Na(kJ~OxT6Rw3jUGM{cVnR6NA$t;ArbZ&bF8;Lgm8WYS>Rg_kg4dc
zMaYLBU&iuXDqLY_#`|jP>gIa#CV$vIp*Bm%N!><S*qa0}Y#;Gls?oHrW<y9)O-)Tf
zVlhjg?k78ZHo@;wjbWjc&~IRd3PEh-V)h3Rdt<}=a6s}b^uFA#)S;Vr2)3T>$Q50n
zo4q~r+TfWXF);Pk0aUrs0=2MVkV1GC<`r-?5|4H725B#y$$NC0C81{2)v@U7MrP)M
zWuJwf#CNJ^b*6VtbWT4SQk+s|TUz=NY9CcO9vLS9*?u(uAAQ7DP-y3LALVo5KOvjP
zzWd6*VO%~L8m1(x&Psl-RHA)KR+*!4I|MF*QbG!VF&V%F-sH0<m_edOWq#}6Aoc)J
zM+TWvDAFmuvu~YJP8Yy?(wlJwcPiLRiE@j-cILMS&yBtkYR(&ZHguFRHlsVh@*Oo(
z0S1vrQa%-f(Yg^`OZ};7BFAfh(d9(@$zPDAw1`Ei{P~q)@aT9ZqITiMtU*ScfhK*d
zWWiFt=B(EJIw$DvIc`)j-?Awx&V*6b;LWJAsuuHBeaYC(Rxee{JQ)*r1;|+JdKhqe
zbGd<f?E2ti(|#K)UJ57<FJjtyr26>S?y>&*y&yWeGo*U5ii>^eQJ2N~HLpm8A{>+T
zuD|c~A)h5jKS^U~WL)&)HfbsH>qu+YyGkwdcitGUJ3R3E$P`=EHm;JFk8b8cbjM-p
z?>}^sC+l#A@36WY>zXc{L9B?}Iu+a4v0G({|1~wU8F1lY)M7p6X?g4a{5vOk^*$-~
zvA*+p4ad}11(M%NI2^Rf{QI(0kw){m%Y`xyrEk=>Ufp#bd!VFI;Mzcg-(j1J?}|1b
zFgkIDi=)190L@w6hSPulnGyyC=E`+*7>1Nfn<$u1^sR;UOZgjWIr=(x2XK*<+t|VQ
zJbkVilx2N*X;3rwr#4^w*eC!EkngQIH{KQf%?O=Lchl=9w7Ozb82zF=8sCeB8i)S=
zF_na`?p^x^g^rFK{}JXd!4ExNh`{}b6N3b46DT?}^2acABbJMSIzhW2AYz5Ex%E$;
zCBfPBGhzgpUo3leSg=(2KTcvQ!wa6Rd5tmSw*373CNJDODfis45sAx}8ddU9oI;iU
z#HVfgpu!E89jGjTU}6Wh;6vD46`<@2MT~}&UNO{}Wma$8$Clcl|FFUMrF-;`AkLl+
zu%%r<5a&de88=FEf260<^OU+KC(>Pd7)M+*Pyco=5qVI!peCpaPNsRw8*wJK=1zYZ
z>fW_}KRIwf)(oH)C?XNg$c?uOck<BpkUODgIK+ow<;X~KqDF?5ax3qWRP8T#E0Ma=
zxgqAMUJ?@}W#kf%H=;bIkZ9CUd-h<=X97JbZ^qoyn?Tm^xa82UWeGc<@cAqiJTNX0
zJ)fjQTDTql!men!)K7}aDf@z*QJ^fd)wi|tHCUpY{=B$BKGo76_6Xnm1sHc)8WXPi
zsAzc2#linKDD&f6^J5-#LJz&UUr&Xa=?;B$O4(=04{M+61Atb9R=t`@=(S=j8ov~{
zamaCMzV2&4lgn5ln{aXV_l>JUZFfEFR%ZSfx?@%^`K5(D<DmY<6!)fp`TF8BG4bo4
zZcR6_?*Fu7=ro9^N^BIO2d;<h&fhbUDk)l1bpe&93dqL^?cM5i5&S7Pob9&ZtL}0@
zj5Q}6)0g__p19*Ob9LJS8RRUzuGVSpq!pj}xe+8Pd4}b3<PZ@Ro6PN;eteU>!$&6e
zolNWM??3clXC{FaMTC6C7;>hAgr-h2F0NnT5|nXHK|vu13gXIfJq~D7#Em3M4zUau
zuRDBfh~>++Gijbp0)qx818WWB1K)J$S<n<bv=H!EVL=lyuQ2z_UerX<<G6=n?%v6{
zu;9!h`R>1;PeNeq`)ptiMTkS<3HN%+29c;mI5g9LtRV0J?$584XE~_(9x+p2#Nr|W
zL59;$^u{&tJj5&^5nGJE@+mTx#Pmi~Tn5lxp$^<m9%Vn}QJM>N`x%6SU?9|toU`-#
z*IUc_z6|+ac)kg}ZjFjDl0gW3v97io*Rr5D`@2CS&ByNJHK?d+<-He*x@h?;26^E5
z6=21#tm}axt3C$$-46dq-=4IKyN?gnWU!btl$<6MlILU7NJ$w}2z!_7)k80a<+lb*
zpaY<7*BdU>%(Pc`3m%ru8SCrkcOmmCXK@^UsMjeHft-faf&#|5wX%tSI+|2YrACgF
zeW2t{zW^YHm<FMgwk+X%N*_KH_Wc8dueKofQ#AaH6kZ=O?*UN^;F=`@-HA}tf7OA@
zkO<eg8!NHgupTLB$BnjW-PV@9+%t(#RE#LRtf6K<fx+7c0FXrL^c-h}SGj8A_9PZ<
zHlsKEQ7iR7F2>^T#qhLXgqU1*w`hb;)-_9vTosE$WY16ds;S-kJS5#9WM;2(oT?7i
zM@!HxARr*9Ezhvz5!v_c;0Ji_(#*BD6&`Y&?boyQJbv-Yb#f8{gxd<Ph{@Clp6CIL
zj7Ciq?!CDV__A&*p0(o2sG7Pu#)+NyXin>O?`E4eS2~DJ+Wh(*w)I0q*z2DtA)bx<
zA&?aTF=B=Uf*Tm*2f;aKBnMHz18n)-9xx$<&AWW77{(ZD8o+8;B{JO?a+=bAC->}p
zvN&a>M(%LEi=T1)4<k+9QoP0LM61Cg<{5}nabspSU?XC{=s@EEKx4j)w7tN@?0XKk
zJ;1QSP7qL-Ff{w2QBg&$(`gB<>?&i!LKp?p(}_)-tr#P<3XUm8$lb}4r<&OHMC%wt
zzF(p_n%EZ|Q-p?myNvjhayAG6!&z;!dkEh(IRV_8@D3a-66$-Ua(^`6(f_(RCT#xX
zT;Pn>t+gLgIVv+TW^91bjD(Q}h$9uFv$Bz#ts)SC9tNxvucq7*b|_Ih*7AQXdZ|B)
zo~L!i&Y-m;-Q^z}Z$fRSkYwZJV0h+WkyyxR@&X!{ZDKuqB?^ljr<>c3F=m5hYY8u#
zZu21|Mx=Npx0rMwTXP?UvX^AsguC`jc%%q<9wx~;Di^bwY<!H6DC?ny9XGQy+S2DE
z-K*z!%+n+#kQARb6`zACr46g*pko&9LG`>s2Up$S_@UIeP`6Y4b6~5b;2QQibpCoa
zWWRGy_RoB~-~RM((}C;iL)Em>wv41$6UeGwws2CbFz!12IzJUKRv{9zbzl`mX#_W$
zCo9Z=O;K)J{oXJe>o7-h1dRr#D_+?>7PZ;_%yUPaQMw&zL0xZ&u7?aB7xNcAFvzNJ
zXOgD-?@*`zaZ`Oy{=KP9Xm154$6@q?bbR?I?%g7DEY(t*dG|v$inu(42IZjSH(BSU
zeNwnLtN{yTbImvi%q$qe9=A%x;WWsHe4OStg|1Y%Yq9k}VsS)cEeP*h5oTg+;1iH-
zsg0=<KFjt3QsgOjYYzUei#qZ5qUy+o13|I8@h0~2G4KdBx6CtYnXf|yin@_R2HdQ*
zU44RilM1`^a_yZh(0sF-8GR*gp*D|)dD6PK>b$c>NqWfyWv6%`R}bjcB84|baS9-p
z)6sxR)&MZ@Lll1e<g7tCanh6d(B-pRF27wwL_7+CHu{Kp2=_%A1BX$aM``vSUlRT%
zpKBI2r;~ohw|mT2Qo$P#%(2unAmE~9hr3|>>xLpw#5-`aJTTj~ue3bhc~u930X`Q%
z92ube%=~17bu<`wx+6GVavm(1Aj$>Rf!rkeO9;uk-WquQp0<~gVf^#%A&CL}nUoTW
zit7j%iSSZN-+p15uXxJ_GCH<n2%CN&d!$0BnJA6R2oZB1eNYK`&CRg<i58ijWKoID
zbMfhcWRl`(dRhMS+W&kL((?BRl(xgw8bG|5*E}XF>H$8=>$3)1tv^W$5!)383?8^#
zIdG-(Ly!fo!yp!sntIcPa{hWZ1oU{xk$+zCpKqMxL;q;3G7zQ2vPM#weFwt-uBZu*
zr8<8*Z<6un(3G=s8Mc_W_%$cu?30jZpGN}he|<%A{Edd*pdmd=wm^$@&-c@0Ih?u9
z@f5Qahe}KE(`G0yohzwO%$*~YGV8yMt^as6rQW}%Nc%3G%!2@i{E{7z)a;t@!(J?D
z90NcqEwl+aV+ApbDLlq(q4sH5pwaL#0Ymm%kp$-dzSxcfv<R@Hq=;|jRTeT`C)be#
z$5~#q6@8K&etvyN&1!|HSlK9WF8?mqP7FNarQuR3oowVhI}w89Hxb<iqwbmids%!Z
z@dSs>Tn{CY_eo<^5T$%a#g&4|0ig?8;M0(-Yxjg7U<SN2N<cpWi!<azD4m@_79GN6
zu%o93+2@&a%~;`TK70!=@aIiJsz|>EEBL~}-v`O>oP5LnKCB)zc1jzc&@VT^VtQ9R
zfMwP?MkbETUGH`t7ANPSa#5Mh%|}-MUavK682ElhVUc|B%5S5lL<*{a2Fx!%ro<lU
zO;+ywbuMUq2^gOYPeFZ2j>3{kMWnq~QW2SN^k)CLzW?}N$fLh2w9poUcUGxa!N2D+
zsH>?t3PHuq2Vbd70d~@d#wVw^xZFBlZAK(J@aVEsF8b4~{f`%Oy7J=h$Gm_RzEJZo
zhF`|9_S6Eu%A<Vx0%Q^^6m<$^O1u93Feon|k;wHYSu6yt)2Jd9f^du$Eij)th)<(d
zFXDRj=C5agSA@m?<Nf}8tF-Iy`n5#lujP=ILjB^CJcx|);T3VgLJ{%F3I(BOlzRW)
z|C;Lwqjdj*a$vv*B!X8`VbB?2+yUGBOi3%A@XT)I*pbIWE%Z|}CxXR9#c<f#IaGF*
zJQg1x0{bnD&PhcJ)jCq}0jqhM5BvK!D?La`NwvMS;Fj^vn{`S54a*hqXSPaxW2~HQ
zoQ=tbH36#Jwfvs?&w}lt_uA9r${X*3ar#%v4rKxSynr8+UkfdYjqRkV#u}Wg%ri4H
zdpOlXtz=%uAF}?uiN*2Ow!bOvpEv7z`A=ElYMET2?P^<HVehb4Gl`>gwuOFVrl$5%
zM$rGd6^sk@K2_u)G=V(wp6=FCPq7^Nty9*{;VevU;?>_;dwLck=06{deB)ZUHI4F%
z$U_*=a0MeK_O%77QE6sDy|$8|Qc0Z=*_-zOp)lFEWLDf@udD=Q#N0O1E!h8C6pe5X
z;9>}%KR`%}O>Huz4%{H&Q1=lD!u(7Yv^rOEFY-6iS;C|Iq%O5{cK5&Dno3Embfnaf
z@;fdSZ!bI(`oWexy4i<@7T&i)5j@-Db{AJV+yqemL~Qd*-1OchA>1>U5+gc|s_VA1
z^~ah?aF&)fsmG7}`&K%chRZIOU;%w<swHoy;`0Ifck;3qcR>0g7FULI@S@1#(}$fx
zhntr44LuyXls7TQ#3KoPO!4v7QAhCkUKw|E_aF9G6^b-tDXCO)%c#5B8aOrcVezdi
z-$ZGZOek+$)wE;PQXW3mk5$5}mE2>isk+LA72bGzF7gT9b>7=cT6bj0=}U`vr0aB>
zOSj!J^?GBz*Q}D0O4Bfo`gN-mr(et6@lI8arEH#{$=LsB!)fG6vKtBM-1)5{*DtFo
zE?F6kyU2I7uZAHNDlJ*Y7Y^&OyBVJB3W>Mn=ppvCoO{<-)%3_PqAHQ#_o7}rS$BW_
ze8LvoRbN>#nopyK-uPB+i6)2A1H&8S+dJHx**o=;AGs~uFwT@F)0i&vKt6+GpNnRJ
z-;uBpZN^e4{Qtf2{%^G{0PI9NhH|^wg5;y1Dx$2as*2_+PPR_-<K5LrEJEG>Yg3V@
z-W4j1B03~!5C{D5c;5Uh))CIY6zpHQo~4@mY=3n&fLAm(GSoR_j7-I>N@!76Wz(Y5
z;vv>JLg-Z^PE58;>qQ;}D0#9X6`P;od>O%KFpoq&1%}-f&b;Q(`0PQp=<L`)V{(a=
zpeCEr9zza^@Wl8<zFf!60(Y&AEU@2oynmkrf6~b%K7#!RYmbT1DBVo*k(Oe#EvGx1
zLmf%4dBcMD;nHZyx}=;~(Wg{~-ftM++O6_EtGuE0v7+}{ClM$RkTNpOYN@-=(hg>e
z6z`GcSYMBRHZ4)FK-=XR56_w0+gnPG-O-PXX}iL`{?|}OC(rsS`kq%?D%^Li<<e;F
zpz<xsq)`jKqStJAOCr3-pevVliQ3`*gA%sMCso&U8c=m{e$?bJ^sb+ws?&0k_jayN
zO_B|%IxpJ%G2d#1M4hJDqS!RAQ+EQtKesOrFjOP=n2IZOZg#rI9EuI<h=Ms^4Njs=
zx}b%f^%ApH-p(T<s0iuLm)ZARxU)uptJIJ3um1HPrIY_82BbrVbNxyxVb(6dv_j1^
zv|Ba;*>Sm&*k}~!JKBOMl{@*bSD^eL5&j47a&jfe`ga_j6=Rt8XR<HDQx>?;jN9}w
z$Q*oHp=Pm}pYKV{Dp`C3JOl#(-~K}X>+o3p_weur_Lmi8L8>ar;xp-&&xt@nO{m$X
z;oN<$v~BD$u}Sij<Oe|i(==ns{MNs(P;KSk5Go4<>v%;fsaC;PSS3&g8bg&7J1+)F
zHvp=9c%=$JcmuM2t5oryZ<kPS-K*y)x5(G<|2L)5e|R^=__MyV1tO9ws6dS7vAAF~
z`pAbSTjnC94WB0uB2})?91Y8b@gpmN5h})@=Kqq7fCm5dC6R&1L4N1tS_8+t28*;W
zS5g5N{6_AH?8FjzV7IwAa=n*Zwj!bbj7@<U;(uT#5t6;_W`$&h=uW9OJfXLg>;6{?
zwD3-~XzftG<EgXBoBk4H0iKx$o|mAV8(O6McSn22EH9E=ww1ms5+5KDkYl&`JW92#
z==8X6Hkka?Wg?!z(P4w7rfjhAlK=T%3H5)Hh9+pxheE3Zs1Qp3W54GyNLIWTeaoOh
z(jWw_YI|ud&`!VPL3oF_1zyaIQl2Frbr|%jPIGbi7H+QnAIrn=!5`pQEf(>jfcsU@
zqvYAoGOX@|oAYkg6OCfz9B=YdabA&rYA7EPpT}d5`-hW*XJeIThp?#lV002RSdxLw
zJ&wAMWNhO-ZRW}41luuDYWvTRwD7%`^xsAK*#mgjcgS*9i~-OQg8cC<yK&;uPz3P<
z-{e`ZBeV|)5K{Uj;pXp{APcxay5)>D@rn@{$lpQ`h8dkk+dG-Y{eMJH-$)WYsUk)G
zR(`WBd5dDVI@PmK9rT6sWibpQHUsqNS@{pfWmh&o+csa@*hb2*f(?ppX7L$2diXFU
z<O-MKeMx6Ayf<8a>E?mCsrtP5*A9@qB$!kYDaQeuL?-7ESctTMi_ukjGUB&{_7EFz
z$XCb8nL|`cG;YZo;H>w4vnIqu^ZugJz^j`>vNc~Vq6$g+8%K4U7k|xI8Zu-1g%)vj
z^Q(wde0eXBvLqT0!?>aYkF@MYnLxAo2B>kGqLgMavGkt*4H9AjmiQCKc?w8$^U-Z)
zxfgDfF2ZW$nHO%TgpFJfpVoX?4C|C*=BbTFwvO?jA%#n;d5BGYZ!mnUkXti{@$LfP
z>w#i0oPU%Yj5a|r)aOHS#=1Wj{C_{n|64%LfPe}?tfwcv@@K_6sQEzfV+F*fuuAtt
zpulc|!JqceY?kx(2D+2ZX0_*(w^zY|N|DFUgC{{6vmG#viDLvG?IGwQ#enwp!2sby
zUMQTGfL9qthpj*(Z>sio*+NG9uWLyPqdaQzJNXyD$}F)Ki{L=ePP{>H3?M7*z`lqb
z-w2@CS{v1ix3t#9jPo-PTJj|82`Yqs;|=I3gn3RG<4^<xUS)wG@UOR_idIjKc)su}
zANf}&pXp=gCH@2X96~(mz<kNcc^mb?q>p>}kl}uBOuisFtuRHjovIiASAIucNh$8{
z*%591{S!NI|M+yw^}ocliTjTP$N9NojH4A}@Y=U`G5dTf0JkDMkoM-bxoeVB$EW0`
zru#JV&UnrJ`$EZ2Y%zadxsRhz!~<c{56<hvT$}Vr?Zy)U+7$n3XS(6MImRhhQH=TU
zEkqJ<0Hksf5$zltuh{=`C>h^5d$4on-zg+{6N&JssJOT|i#|E>6P1K2g$J_rumI|Q
zU&h(%K(Vk(H}L@~O8F}NA6-T?YIf_R%P;%zuG&LLvlPMJi`7$X%9u=j5lTfNvJr#1
znaRXbo|vNmLJUZ!0E5%}uHndP03Y`y7Nvry1?7GJ^&c+YKk?;Xzg_r2!keFW?0@`z
z;a5t7e{R|T_!~~!{v0R&<IkvE{~}ZW;}5y^|2a7S$Df6K`2TxDGvxso5%eWp{+53o
z)7%|;^HUnc8LQWk99v{~w5k|&T_^}|lqML~8lg%gmh1>DP}j0xzyWH}M5E@3)2|3S
zZ3Ft&Zg9ri{U43rSN%slSw!{UIxPZ3s#O5UqNb*r`pW4fL%AuNAd&I;=}8pMZS$2Q
z^N@fJ#oqc1Y2MMvJmf}vz+@V(eB5n-*20NAh{h_#b#ABn{j~D~<o=EZ93gl!jt>U1
zlre{T3{PJlWYd$$T^6a0JIY^DMcbD919@=6ashR?_Bu}Fs^Fa^gOAN~QGk4gF!88W
zI^yd|T{@rLL(djPYt`vJUUKkFY{JVVAOs&2@6oEo$Y(|H^>3n;U_5QMh$lE`Dcf}R
z#bqDn&KOs+)+j1~mt!HCw~XqmIG}?ktzYN8Wmp~%%!gp~DQjhqa9k1|Lo@17U*t=D
zM0aV?kEE4NX&%W3TBK@fL#~5!>xR-=42`v8Q$M5-o_@aGkD0NpZBun=?I30zpBMaO
z{fG-tq^@l6^y7LeLSHEh6ikqGfSlKU(kMOD?y|kAei6{Ohx!u$9onIv<E|o~UoAfK
zjSg>sk3&1TTxpja%_BqhaBHAGGMKD-IOkvU!Fzj0bWFS}X>tLd$gT>m+=4w|32^#V
zV4G9KM_+Q%lU8LmgqwTwGz{T9mWT%UQPq!A0gug><^p?cM-uC{V#AKun(-9VTArL0
zMK0^MS7qk{LXr;NDWQ{XLlYUeB}4@G*H<Q0`3$+gk%6nXMha+VM<iB_zoN4Lj6=}?
zZ7#V>y8e~4hX>YTV{@0RNU2+_woGV+((VDK8IesZygWr6!_QZ;9t=WiA#q1+se(WN
z!Kd8`YRTs?HF`U^kR0a2{d)7lgoPG5bMFzI8`j3=a36Xxg67E!@9+tP(8hKG$6rU+
zjJZYT%8^h551}0u;`1}#QA$hpEbF8bc}!P?#Apl;;4lH_c_(`N+VUKUq<tcmIYagk
zw8D1675*7lI2LUYkd5QQXjCc9b#9kPj6>ibMmG6m^r)i$e$F~@utI-}!~b;x%Gts3
zFV@te8AJ)`z+SI*+~B$e`XcY{<-f4)BIb#@f&mI9-mCAVR2o9L&)b&EiG9q&{AWA1
zpeu?j{`6q9i^Ok&ZC#9>uga&%MX|fEh}EBOIa}CCC1Fq^U<f*|QoP}J3I38Pes|wY
zacZ`wgg2t2+OHD5jlJ%SQ|Zo~i=y3UZ}aZhzG(f}OykHhO_c3aN_+Qa|CAa)_9e}|
z`j<2s=)*Zf4tsBo1hySTHo2+^8NHGnksu3#7+@lh(%Yl;uo+4RglzD^i=Dcc?!zEx
z8?y6tu89w>NsmD!hqRnmo>?wSa@vqBA7q?VBE!mafgPW;>OuyUdDa2edUYnL*`&=D
zs~C9=0?%_jD{pgnB6<r%CPeI7|L8aW&XQk`?a4sIuG7J!@kDxvpW$$L`}YbZCVcun
z8CtL4EmWsBCAt4PEpwjS0KrYdN(wyR0*d5Yf){&zB&S=9-mEDg)|8Tmcd@IZ?*uK4
zJT|tfd*}9Bedj9mE{@GejvX}XLy^)5;&iZ2n1pO-YN|jygpC`(F{!e=H9&OB4GLV=
zQS+{SM9|FvEE4#N+u+L276Pr&NGeZx&^cuHaCfRK?*V|3YAYv~OUx3M!nIc0p4+;s
zpUGZ)o`(%ZGP!Pz#nfK*>eZO|Za~|%gDG!9+HEs`^gC*)0F}D>AapSK%WGF@vT=|e
zNq7$@YO(OIIR_+umrj{oVaqaPo-6^l8Djt8(=Aig2lWR_^KZ%f($fh2`mkLiT0%Av
zl_~j@Y|V&Wo8Ldrn;DqAGoXy}g^Q@I6-ESJ3}Bolv^i2=)@fUn`_9dgn$Y3E7{=5Y
zuRfQs{NG(x<*8+x<I%!O{CteL5bGsSY@Uuq<PZs7ST(%AX8}>2)H|FF6U&>}@)F%8
zGE{vR2$=<YR+NynLW45HmS26O$*r==eH<;D^K%D{9LnXU6fQ;txv8!uk!}E4M6c~)
zt{o&sYmgY-xT85TkhmWQJYT()ZF=DYkC82p`KV7d)vpmWRtT+-NG*|dDoW}}AdfVa
zlsoh-2vl20Or$hL0G#Y|*iJ-;!UX9^Y^b8M!CIXqr7!8^_8R$T&fsNTFWGl6CnD75
z@qO^>yflM<P<G=4+CuGwR!ACFy_sJ0bFw_5dB}Q(!As;OXni*GPvp7lmu<CH%7){o
z^u!7$U!s|E2v8`3$`2Rhc6-s**Z_sAD|SoncTUbDqkM=ZAPB=r7KE1z_Jd}6F;-R<
z>ksZI<|G|?33YM{ArIv75S^q>QKPswb*{lPojZGb{vY<<JTAw)eILIuF;in1Dijrx
zv<gYI+{}~~5z?Xvm1vPlNGmfLO8Z7dSxP0+N+xA%SJ9rOMym>`w5xu{d6k)Yo@YMu
zeZIfn>-Tzn|M>RD4C?N_uj_ih&-ZyA=W!h8Ryf3}hw&_nR96Ijs|z{Y8p&P8dVQ(H
zw!`uI#WSjq0txcETQ}KicI966BOi~qnfHQ?sL@JA-wow{YE4mAS=T8D_ep1j7wLDe
zCyj>om#``&ixLYa6>bQr-c~!6#j4OcGediR_38uiPbTG?Bb{cdHi<0(X}nS01?sHi
z(vD;9R*4?C_dirjW>q{vM9>e<{AHlw8oGUHSYO9JfY?(P)gzCL;UyljlZVS#XCsDc
zisg4&BKMWg8))0=w#!c@>Lm{QxO61yj$<(ZB<f!RY^toS21sqV9-OjF7whB#ku>tg
zC@7s;InbYZHTySkXsa&U6)sPszQ)f(7<sb)14wS|&ZEkxbNEMA(W;amR>o9E{x_&z
zA9^Ax#XJX}jOTz*L3PUSpj;M&^I){N#K>lgN2fU)`g)0ul#b-Vad<tL6dK+38=_wx
zE!XOJcA}$4)L~C}udF$uf@59>kc$s!R_roY1}!L2vFF*U@<=&jH}UehY!}DQ@1L)=
za~}(s!kWJ5)xnnzI_W6?2Me%yb-$}#ty?(C?QVoA^m~58BDsA;vhc1hL3A9-aT6i?
zj`1hA0=1}<wLSgDxVvTtb<aOu!eaN<pa^QTaT_+IsXewJ<vj&WxIW62QrZhE_HCq=
z97qMZ7nEF1PBG^SD*Km)c60~eOvU#1mIzvBi5?2Cp2(gHFlv*zWyQ%|kK~P;{HZcg
ze|8~+ilIhKncAB|=^zaBdFlsCj&}<jZw}VWMScJJVJ%kc>V-_$yR5h#j8&kK@X#;|
z6JHiNms$lSqchM8JArz<yX84zoI{xMlpH{pbNH?9Y;Z;o-G>O$YrwoqUi-$t*ghbM
z=milU;32a)ZylhYj`uggd$vVD%|Y&3jdMt)q>-A$;Q4R)x%K-yi|f`;(Me3m7MT|R
zt5st*b0F?odDQ*Aak(hhG_hJLPmpE|mQ~*c3R{Cvtg&XMr6k+IFOX##Uj2c+eBu@l
zQgVLKj}l9Plkcv8K4kSCq)RGcR3i&8J}(c50uQl|N=yPyPw`~22l4IUvQ1J2Eg7io
z@9c3&hq4@Kz~#)Gv#tmjdF14k=z1zR^!2?D(D|H))7$bH7%_SfJ?m>*jqT?AYHI%x
z{1khE9fpSd*&uv;i3ixU+25B{QIDp%AT<>0xDpXVI;pKMqE^*pBsWJZ`3Af|lIrX^
z>};Z7%w@CdLIdQ6J|HUOB^abM;F7)YIprl+CgGBUbJ{40`yBW=^ya%fs*zA4-_(nQ
z|A_GyBr2t~mm{Pd6}8pqM&6|xDHdq;BQ4kFjpMtYjv8n&QVGAw`rL~&I7Tkgsw&~=
z-SiYhVI@T2KA;WUUW#s5s#Vl5tI)(u3TB-ubUmFTV^wqKbmW8U-#!F?LI6#WLdR#Y
zM$OX)59U$cR8Ic<mNLk(?}7ipS7C!ht^uS4`x321#4W{WorDc8Q!-$JCIv;#{R`OS
zCx5;p%q@BSdQA;+(=z4GXmXxgDu>O+%4ZH?XRvLFM%-kz)h=#{uR`*M8xFABDt3C*
zM{R$CFn=C8V^NJjz>w?b8Xei7fP#q7f(r_ccCWF^Y$0XNMFhX#nziF_a#o81f(Q`^
zo2;@yJ~n}ne0sYRA^|0e%~qg}6_xi))Bg64<tT>bSi~$x0pw?CH-E9@GkeQkN&t-B
zJynWY)9Ze#nuYz|F0^b?{+h&Br#2?Hb{65>wxXpN8`|`QiqyNY=GG`&wUlR-n8A~x
z3kMUo!wmM5rE|CWqU`C^Iu}svI6aMOuYJER4C&AP3C;3@N5&q8VzlUz2VEO)PgeAJ
z4jBOvi|x{h`YwQFl`Vk!ehyP@afe=BfBYlotAK{??7?CiK8Ias6m;fI<+t)n8NtFj
ztTU#43#{|`q~>5qJ4gbF1+s(-_vH)FgTmT$R0u62nJ#8V7=B6V+Bgt;8}wb(-kE-%
z>gGq?Hye?a*OoWs7Z-VjRUWhS$7!+WnVS+lgabINr9=F_-ZSI}yUQ~ET8VKMT+Zf6
zX`Pv@iNrEWqFJ2fM-$mK*36A^C5~K#HL??L;ABxRZmiCDp>x~Yg-||h&fi{`u%eIW
zFZ%T-P<rgsokr1}OWvq7S=)_*TuD0O=qn-@t6r)i@N%Zxz>|m%Fv;~q<dU`cUTA%C
zX3OSF>tqF-KRt^00N3M_bqOwJ!gDPJ0W(ft=f)B*ax!;s4{5G$Vl@jDb;MG>(k?Q7
zT`3W7Sxw!@tzzUZ8Tk{O3s+#nvOx1&9I?)Jv)$kK++Qg4%JPb$o3;_54Q7Y1LcO6a
zTV*~BHp{lML6*3AS3?fvoB&{P7TNLk$NIuMB?qx2B4vd3$hAC{Mk2MZK*x*taCr>H
zzJwn|4@{43MDb8s>k4>}w<%SGzZuR6_a3K%4w^@&mY=PAcSx^nD^5W5Y&R9%-42xl
zRd=&^Jp4KpGW%XycEJH>uIYlPbvVkj-z1NQEr^OUb6FS+w1n-7_*!^xyl9q!e}J7c
zuqkmP-(y&(0hiYzx;6(Qx<*!iVAUFPeHi??fyfD>hU!1KJ6C>ls=Ehtq&%=z^lEf*
z6o3Q2_fhUTu;aRQ#dqJ?y8*Ofjl3Ql*M1J&Ke!L^gJxKgPURQqIotfoUqYKoIW+(3
znNfD8F2x1?E)>hCDCOLD^H#bi;@@wegv5F=2~7tQny_6};|WdEvWbUt`7J9UpJ?Y;
z35}dwQX?&L*~<sj{~FKyM$(>NRu+{4_Trvg37&0)HE;;YHY4}o`WpWt&<(BuQ0G`5
z3<TJG*9lV<tf3&+=hIAmTivj?I<U7qcCQbVxaZg1+Yf2x;P;&I?2zh+rU7yZ-_R)g
z6rrF0sKBK52ITn;MctNm;9ND2rwR^%SElIX%6c1=9AW92f>9#_S}IRE4QL_kEg<q=
z@A4kzE>qYLHH0N>QEe5Dt$-2^eR*^gN@~-wVds8cO}p{XTYn?$|F@@orUjk(<Ae5M
z$3zeSP>|e=QR&SR><6X=vpHg~JT^n74koLON|>xAFT9hyHx?dO0?DscWH$R}S{o1k
zb#1&ceaEWJX4b|-Pvor1=ZIUZX-pihMgWo0<2M=gK06(U#>7olVs3ITNTe-R9jMOL
zTPIggkDTaS5g!O?eYCX^)Ihs*l38*H&J<ND9m7ftVKQZaCizbO4p&l|rFP%{335xj
z^rDa}$@u66cNd*N&+ROZ?@e(^UYaE)c1n}l$9HWncCD6V$M~-8{(8SlkFc`H+tL<O
z16<oWsAG@XbzQ6XGOvPNT-t+8!mQd>hxP2f>WxmLQ3C|N6_#~37ZE)CtTwA;T}RMS
zCH9+96hAo(V*<s}z29%x{z1Yy?K_RzI4gTM^Z7FZX|uwfGcv`R*i7il@_b1x47qZW
zKD^x6erMilJi*WYUZsuhXa0zyY~V8M#3+h>!R-#V)iSACwZMHWjaa5A2+N%wIzu}5
z`Pw^x8G#Wi{$@imOGT4VHW=8fHy@^H3F`!-4pW&@k`7Qm2QaeXr}7In<@wmDCQzwy
z2+k3`Oy$f-l+xTkK0Wub4+~c8WpCSZD9dUP{SdLj3v9=HBpkhiQ-lc<I=rWRvQGcH
zF#MgxPAYglNvttUb^f>7>QeW9Kh1O7k}|<v!q?;e8u9_YUFaSBkvH`qmFNliq#emz
zb^z2o(U<28q4-ij^Rf$tSxoQ@D&_{zR4>cJsdE*{;tQO0MD*JAc`x`+NhBK~*#BVF
z=ILwVt06lKPLUimT%KFM2`i;L9q`Yq7eF>n`*P`2^|*C^8O1Nl1?#gBnVhCv-{^3L
z8?w$edpAJH<?%(-38xx5{k2_D4RASPOsHH0`sSzA{X^7iU_zE%K<08#xFC#o<+`o(
zBlTPO8tbblZjht-zJpND3dIbAmx5SXUaAtd|AP_CRy<c8z+FV~<NfmG%h<TM<%Kou
z^1|-06tI;(55!z>3y5qTl9&;dg&QlnQ2ycAl4&flb5_?zDbFxH_x-}CmA4N)vpX~8
zQ#Qe&Yf&TWo!Cy>o>I=hOJ7$)h40AeG2ipwh{_q1tS~D5Hkx=z+Q-nuxi-)fIflbU
z+;~tUA+2hc3jf$?E-5v^3<)q~V7ssoi~w~TQCBSI8^*@gX_XE9^#iJ;2bEkfxv~Ya
zje^>c*V?z|Rq2~}f1Wy0P;Yiy-a4gtjmms}(F6~!xw&u`@bB+bTwb{I`vUvH?8s6*
z;SBWy-BgdChqwXgOZw*yhyu<gx_q$2U6<jyfLye8k>I34gJfGv;LP%`T8qO&m8gCu
zJeuItwrWGrD~aj6z@cJWTdNQynO|OB<UU=hx7iho_s}E#sBTkK#w**6BG1WIe(AZi
z)%{Gu!aiOWx6gv#vjL|q^|!8w#0l;$;s0ms9qkwK+a%y<djE{`3+UQjG*$0397l=w
zHrGlI7_Xci_1aYa$q~gRL8>XUy{EA5l$D^LsE=c;r0>a$^$8NCEnulPV50mvbVd}8
z)w}dlowj4^cN*<T#-Z@U$#V7lMV&<-&{6!k<(r^TDv74gu$OQ0`;pWs+qMKeUUc`h
zohBhr4DTLQJ6;bh+J3CK+3>Mj4cA})wMbwYwkg`gQV%{!7hy1Z*D<AJvsfd8J@)PE
zZZB_9HY*Iedj30|HGo+P!xylkG7HwUZ$+-p4#{UWX0C+!TGrSxuzd4S@AXE{Nd^Tu
z525XK)3U;e@RwtrEyV6J8^7o?gwYzPD+zBoEETNTeX0u~T%ehzA)ZZiZWixq6dYR%
zfTXOV{8Ru>VZl=4MZUR(bB{EI&(T(@!;wHs)IR+#&TcB|M9tw-zWIG>`4-!XZJVNV
zenf<87Z#i(w%cyi0F0;C5fzvc^lQW6P&i5K$-LK8Yqy)f)wD?aB686R2csR&Xt&C^
zjeY?kMn?)4n*8Gomi8V~{^?5)FoiV#JfGME`D%6sCoiV7mpYVMC$A=?u_`xgnXJ95
zk83jbo~l*fSFhT5h;XGK@1~YT>XZDCK(#8gkS;aV`qi4`y(o7XDH{;l{f*!6+y}5n
z{uQ}YrP{7XKQ0P{nnjLv$^h^8;~1Csm4~<3RrAuz{v1%yxmW=a?Lt1cx))p$cM&1M
zN%1+Ll9%sqgWrJmwV^oiCz879uaW&A92C?_8J;N&0!CVIi#C8}-tt~^+wUwzw2e`9
znEK**D&()>Q~mlplikM81r#Yu%EI+sU*LTfPzfLQMR)=(j5<^!{jK&|gHk36ytw*P
zBS4=vLY_$8#~cfd7fgJX*IqP&vrT!sCmPur(la!ao^Gj&C406m<m<PNDpT8ydc@$z
zE<_5pYg_C0T14Q~+Ab_S$X^_-<aU!?J}_A7CV*PJpf(E#@Kd1bI|DL=OZy8>6x<I;
zFvPsr&0H=^eX0E$J?w}zXo9YXH;QNlLg25KplvHE-Ti|Q7i0%K=&K(HJN0F~@yPM1
z-5?w^OSX*Wd~q1~^p=s&!U@pelS9gdTD#;7$%4~}Tn`=}t6ixRlaMGs*kW8=EalZ}
z@H)FS8>l^xwR2SW38XT+>{#+Fs!;x8sXU~vChWDxLbp&PZ$LLi%xexfX0bDn$`7R&
zYpYHU3QaJdcia4zGUDKfa?#Tzj|2Hv6q@8-ANg^$O<ksFqa45{Iy*ie&@~<`)GIqJ
z46x&w;}`T68qtaO0t-TJ6m>ZrXWe~cWt!5_a`_rr%f5SotqyUQxnXkKHGQZe-e75I
zb%FtQo&?jKG6b)@IQ@*+4lb?&D^1mgUe}|ziKz6YBl5GOGjyA_prlk~WKmH=AT?!t
zyH0$MM$HUFk_8ywOy#L>4Qh_^?@f_7sVN^XNZZ!|Vu+fwdls0&Wslni=_nw)|MNhT
zeaKL}xQV~y6c4P*8w-prMVtkuRp`mzHm_P46_7tk_gN21`@6rnq1tZ(T%N$ovyAf<
z#Y<vv1WlQMWh#nYAMphGvzixo%vY7q64{#nTioj6u#*6r3W{T>4V}4+>5<@}Wd6QP
zysZa{KW|tm=79n-UwN=#>;AiMjujaS2`7OwkVA50s$2=5rLfYR88?tkaGfon|G5Lp
z+`E%bbTvd+XB=Lu_pPL1y4CXt_n2OQ$WJFtTQI9AR2m`*ifT|7=xxZ;I(&LCy#9-b
zWCK;=PYI<VV9Eq-$&z8CEG(xSJdy}rSts-&8xYBgej61g>cU!tb57KZ6m&Pa+YvOA
z1BNsoH47OX32^_MyIH-rNPXDdl14ktD}E0W{<i+zu)LtOKhs1K<$D&Q6_Nfs6ie@~
zG^$;xtp?<*uq*Ar<5pX?OK{`K1Cmpcx6II%E1kk#>Sw+B{MSRxbSx}4!F(;-VLd<@
zYN{I#4dFT?K59zMoxmaVWrjIA&?+iasakd3&ROfS-|-!XD9H`0!0Eb>3az@iFTv5$
z^g7PH9jZ(d<jOLxUj|YiZkl~kHYV}<^L*ql3n9`iaC%Q?J@1lJ8mZ7qh&aMsiCDqh
z)<#ip1Nc=%JmiUa6Okt@mq0uU<2&V<K!9?8oT<o-@kP77{60-NHbqEZi5QU7lIz0K
zQ~~|EM_?GW?<!I`PKCV}%hb#H8_{X%`+TpnEw;a7keQD+kO&^~@4x=Mogke48n8c~
zQbv6GcKCPy!yVf^<BpxeOja;E{lyAuUM9nt#&5)uF9o$?C0UCayzPCCmWM48^$JJ(
z-0jKZeanZTwbJ+Oz<12ZKY3=GPh!EG?!#i<I2WI*5n4ZV<p8fBV8>&DXt+Qx?esor
z6GcvWUjxYd8^OWSTy3da6DkSQQcpTFIX?7Q8V~Q<b>h0=-NW*}AV+v(U1vl!Zp_H<
zKYrh;HW|hriJkkWe#?GBayn{0BhJX#2@vNGv3vdg;GMe5YYq`(c-M&pKT^j-iDs0L
zJv!v*yB^FZ4^MQ>mZFC#PZE`D=*e?*Bmx>f)KzJN7NDaqaJG&HXjbF&>K$B0ml#gv
zT;5^1MLw%)^MJyP*hD*{(gZUUUz2owS|>%#{+mN5Y8~<5$T8&B9cx0#kcO+sC;cz(
z7(4KSoXsBc8i5~7Z$w_g{q}fUum@Tt?{7Oi)c1iOW&d$Hc3WjAQBXj>y7bcApp6hD
z@EH}P%5?W$vf09JTl(k~5|DXR-2kiQ*Qb$szTjwX;ywD|r7ZbJe9q3;jFzqBNi;ch
zl+ZPggF^y(RgHo@dz$Vd+r9@&iH=H}-Scl-%@@6nL!)_M*Q&QYYooFXZ52~OCOKcG
z)3)G0Pur+<mtbJi1>Xg?whmgkU%ErH&)b<y92I4EjAuoiNWQ!;sL`_fm&|aDYm|B0
z5oHmy8dA@N_FN!|G2zHHc&tk->9AOfjnX4v4<oc7D<y5Q!MYV-tY1IaNK|g~aJepR
zB@0W-#<NR&)VvNg4?h=O9+Lzoag`8ZmB*wO&dfXUaT-!7q!(fabbb-)BYn1{8Th|1
zxKoKoBOT1{C7VV0A&J5#EB*!L=8#xk@3UP~KbhHK{P>br2j@{o$YAl0phf_fC_Uod
z9>~2759p?D%`p_qs$er+eLc}^jXL^%?l+=7I1rl$!W0&D#*{HBR0Ym7@=5W8r?qIO
z*GDWf@pJ^o{CEJ`GH?&OnBoGRd0U3NMj28b04^=hmcP6=I8-9HEGm^U!~rCf7g8R?
z#E4*y$;%ov?-zT`Q26w49=O~keUvMpEZ74UGm90yj1tF4C6@-0f5HlcolkIT*+^yZ
z+rp4j8w-cRcK9U9&QbE6(tdM6^(xEx4?PP|&3jp0+xNAeqQ>I^#V3>Ei%`oq#9s5!
z@Dg)*fmkq~`1#isd`+WL>2fpw{c<;VKl+5z$Dfx~5RF9M7D}I|fUv{b>NmsMpb=ZO
zsCE<yR1P%hn(LN{rUSlcvI>XVH!#z`6qkGya6-bp&t;l;_K?3mrDMn-*y>v)Sfv2U
zHO^AF3@9|91hs&uB3AKq(sgEjKsNSHqkpH~8N&oCM|5J75Pl;*pb*%MgQ9!kT^x6x
zPk)H1(XlN4h5<vY{HL&jX4a}c$w!YlfA;)!?7qZ9&rY71q7zEF1#L!Ymj@_c8U0_z
zMBrn$)gpP+pGY2=5^^P;0D_yZ+cPJ7>ij8Tfn|FR+<FgDs^hCXZ+^Yx4EA!8G049{
zM{rxJtuor|Q;WY7^#-SJEfQ3W-SWSLi@G=#EUZ!zCR?;Hjaj>ec$)E#P)5z4GHr&0
z+SD>|D>5B5l9HR9Gwe2|e;-T%YImM&&X;iPWE`Gih4<La-F5SY44cr(`0?+8x(V2q
zq{3@9S~C2(ZB8>)I12&rL{o*c&rET=tn;F>j%VcYFuJF{62y2f$X$mZ+6Xa9zSA>O
zvtl_P)bT7{^Gbq5fIV7eXulYA%Wsgm1)<tF)tZUf&i0c%JHfs@kIi|jgtHs!NnMpM
z>jGLw#{0sC`+jS6MK<P)Y;2cs&UQFqN2{6(6||7xrumtpSFofT*es5(%>Jl%R*qrX
zhwAdydX$lb7z|usoAuzTo#?7J{M}XWqlyK2P)=F2W_Cr0(X!p=7i)NY&1GZu;o9Gt
zj$b=fch75<mGesOM=I_h(8I7<(7i2m@*((UEj;DK+7(3Pel$RKWY7EEMUqstev^}m
zg^QI8+Qhcp2=L+=CKE2c13ZNIo{SOH6z7P<dDWGt;C|puwX=U-c9UUeK&cA&l=sSV
z+5@xftWCvr(<2h=n|dyROFGxgD5{O2$~bNDNxXHdSe~f=*MfTb4Hi6~^|cIg&i~J{
zmhCVP7VhT-m0dmLZf8Pp&(zi*QSSwBMZM?Rk=QYHQoOkIF_iL5Rl98j6kQ*Jo*aGU
zkuEl3JYQ^n{ZHF7WI}=H1Ra%n9`yDj(sr+v2X>F#m-%6}Hx|3154^4-<is==*yS&x
z9@J0KU9Vv?S*fKoS;xzHetx#{l(?<_eqi3lTO~IW-j7^<caZI=n9yd~W%9Ri49m;4
zt;zY~!aHsCFMzOX0rH3nCVLMB0(<vcI)S|x&7YyY5QuZ?<HX}&eY$oBMsk}n9Y*t4
zxU=)fFQ%jq0Z$I-jQ?G?2@G)c^kI%koZ?0E&veYcvYHY*&lXycsP<($W#D(dKLVTt
zo?*jxXm6LK1F#7>Dy3~TuJePkhx*EwCLM7hW}eL*>ZAimt{_gm4|P*Oph%9$1Cyfu
zEdSwqi*AV;9a88A?&koUvvRTV)a~`9?Cx8afQzYe|CnXvIIf2n2MnJn>-qahJQEap
z3pl(lACdUie@C_`A|*Cmo;6e96Z=KpAj}bZd;)D2?!IV3j}c}2^VJlH6UGZMjG#U(
z!*UlpisUF4B~57mg=;?R#H2Es0%A=Iel5>{sX@$j`&0Y*;Tc(1Y&%C}v*^Huafu|x
zZK!(jwlChe+?!8UYzDk9^dV#`F`@EkpvZW1HfFQ<YBXgCvRLuq&fmoH4zBbYa-EtC
zc}DY_-`4<s5H(AWuu)?75s-V_Sw_i=5Q{pkM^&4n76HD?7m!B>+0VMdm$LJOuaFbq
z=j4YIK#SHB*A4EE3s0VTds0=DLC8-79DCJ3RzbiABk~rYFJ;?Xsn;qgs{I{_?;@<x
z4wh~+imF+6^xZ7<d5db5kei?O9R%g9#fl$?<fFVPc1S_<_5+CW2IIO};Q-_7(3weU
z{+&rT%IuYq6UpH;k?b}T>K*ysl!30(@nlcee|AMjstY~A7OPOnAI+$-Y%@wA9P;{~
z77;d2#yt@q{y$yheJI)+*VhkjspI!xY%kClgI+awWV`V4fNq=-O;*O1x6(A$35t5)
zen^?WLW_6%^CZNKdBi*}>05ZL=1NrKqztO^y3!I|ByCh0$o@omw9A)Vg;XL7iHc_)
z&V(JRefgS-*!MBKC-M7OY`_;_@C29@kv!aK+W^im<L6!O-9%2Sw=9N$uW96c!lLd=
z)QpR6oiqMCdH?!6B?7KYnW(l{27ABeeksWP?jZNOclig;#N^Ir(^)|k)Po`g2I+xY
zW$=6rUjtMIgyj``RDEYIzz|_`rz|;3zn!F+se8T`=14FLf;$WB2zcV4l}5jY$4Wxz
zE?hBlVY@_zOa+e54uo6tf<|MU3M-JSTg|#N$55^|S@koqXaizVk@-fCXS5k<GjVUv
z8eQ}H$P;oL<60*GX;x;7a84{HRn$jy@hvuX8!TDEP(1VLG9CS`6BL+iQ25VYr>VyT
zDM+J~mTi&UUzY6&)H^1TE`0@tvPa0_jq*NPZ9L|RwQGY)^|HEy1By8`=5K5gn;eud
zbIB$ji5h+NM^}ud&J<Vxv|PGI|Dh)#>uvQTXv2odaW6nDKZ;w?u+?O?j}#Ii^YN3D
zo@E(^vdHei(RuoS(34+hme%$WqK|2If*y7#U|X#;r4~#RGY0F<xu;ZakIMse$HqJR
zcMnYVrs#8wqK~hYNi&lVi6I{{Gb+E(`~9?7tAYpnkZOAktpy#Rr_M>Fz8@YD*}LN+
zpG@r9Xfqt3w&MpVcPPQ5*A$VxCqW;d3r}==fmP_$l0O6WDt6lD&V|c>o{_CeNgv4;
zz+TcoCg_1o@F}41kQ5qRA)UXL+~klPp*IY4!3fRU*Mun$pKqd;ME9WK%C7>RphW3@
ziQBy95_L2SYWJYQN+fQm{Xo^3j$Pe`(Txq6A8?-UelWb*uGw_tS@3UQ%ekH1cmjhO
z8bHw~A)K+@58Ywp>V>syV7+hxA>-<-?n}R-j+5*(Kh1LJLXxqbl8jC1Np?)W96Zr~
zK$Q05nBXyqO5(inT++duH}~kg;cG^h$P*ZWB9PL+o(q&U;rPf(U7?yrsV=pe<X`mz
z(m9Ak1)n>*`%R~-ocSxXWK3Ww>Mg+NS28|A?6uhD0*gDQeHbwzqCev{80DmOAdXXf
zL(sCyz(}{zL9`F8({@%yK;Og0vVR=u3wmm!o%&B3bZ%2O>o!W5hz~TLgR7`o50zvC
z>>Hoe($Mr)N!{#Zsr&D)Mp)xC+xI;>d0-SYOLth7kW&QoItM?g%oiuWvbI*+4B^(&
z);DaET0`Oo<Ho3`Z<Awo37XCmHPd)-XL3x+v%3DeOn#;_6$Ac4FOb07WX;Qi*C=D5
zRc=x8naJaqBwpb33{QDi@*q1756blg_@rPaK*e)yXbfF-#uKlkkH`=bYd&p=4#RPc
zG2Rk3X}=>)j0ryk8QH>0A^Ew>B93gVGZ{adK{pB}Vinm7-54u2qmzMz<*{SJ#t1M4
z7uB0zMWnAJ76jP|*`-GwEmQYy7t9YqT}&xMNjf>d0Q-FtJ1UK|klJw&y+z!;ztYw{
zm^PGSAPNk*T2)sDSlKecDnwzGKY1cC;f@?R&B_Vw{r*Ysd2IzEL`?6-vcN~Cu2e+c
zXBe~*FY6uTg|!jQ@E;_A)U(PhIpZMEB9c`%DI6f)I@%w+)-#@0{HwXsE&Z3;82EA)
zyy{zbB)?OpDWp^Tr#BHHHM(>kCQO_xG0`=4!Qhx|giJFG)<fl_(xJROWDT6ISDO}_
z!9IYISH_=r{^p?PYms{MHQs4B?$*LSV?V}xIQm*{R(h4~HdX@+*FJq&&NW(pQzIkC
zhO@_tYA<tN9{qSc`&CrdDJ#^Tf!r}$l3R^PIYs_XKM%QrwA6^BwWKzS*qor>Jdes6
zr)5rGHZ6AeOa3Hxjb*R$wFuu|>W2en7>wtFKNALaT8i<Vk3CD4OiC6S-*6{r!?k~S
zGE@0HI&<<dn=c0RAcGrvihqgd&lT2s3r(=g$tMBSGD4eX`}3?$Y{dZ*1hs12bA=Rb
z?olJrO^g9h@lm3B)LC51Aj3LB*_*AD0c!5Y@qFueHv0`p*a_X*9I;lWRp#dH`xd*j
zPM}|BX0H(_YjVk<N<GpoF!G9DfY-UZ5bvA-WZEsz?`8Z2ep-ijKTiUAr5jbAMjJk>
z`YOLUTh=bB19E-3?~?OJe<M>DVAm~*Qnf-M+!{9LF~CP?SGrZk<8+dZp}Y*|^|<AG
z-Tgf|US7Ut1fIY1;B=iU5{dHI+vgDCrOk&?mR&4aGAQ5Ph|S}J#;<g%d0WAtMhQRr
z3K{^<SJ=6~Mki3#-`e>irDYm~c6<b}KHx3u>-pwxaUgr|;gz$6ER!RclYA4=lJ=0G
z@UyBm$j~K@n=u-(kz^v6&=}lYt9AIS9l1oIqt359^um|VNT$n8T0}!hjnKD7fO~*S
z@#FKcBzIiP{aHfov^!igR+|q)c2;f?0~UU<#<W>jy=pe8k($6+8gQ0dJ$F9!CE(MF
z!El$Mwj1^g_?J4cRi3w9oipMRv?+&vNNG~Nh-o_~U|*BDO)i(}@&)AfGqg@95?MnI
z_+nMRC!z23KERh1oxb<cX)@y}n_R-EQix?bly*kLu9gT8#ZCc_KMe}2G`jWPG*&U`
z?W|WOJSO4;gmQbr3ZTF_7CofN86!NnIcv}c&}=t<>~_EnK9H@XW*Y_Y?<Hy~$?SvM
zr3*>`(7(#ei6P49_(~s~oNyM!4p#cWN;F}tP5C32p<fqOMuhj!UQ0glrGJSQl_jo^
zq|qWU2pSI<3uK{)O;c&-XT`Gf1e~ml9Gin3eQS?AnXb8As0l@<=f^j{Rd+ZA$f-bQ
z+X)uq^}YF&EMdN>5A0CLX(j0H%YEAq3TODeiyZr6PHsn3&8*AYGUN)n8J*U>VXJh8
z!u)^vp`ds;F#D18=$oY;$EjhRI*^A^KHYsi)!C!6w@f*?>&WqnA&i+&?@Av4iss5t
zEjYPE`;L9EaSN|YeeVT(K!4tWmmr~+w~k&fCDhMcxj?G|pDT$XKX5<EHj&2rpV5|q
z?Ykfz!;nVlT;Kx=$a1*%01~f(N){IbubAlC4q`c^Di&-Y3?e0xRQl8p0nUF8L<AYa
z#ae67-`MPxw@fZX`WNBjwGd41$ABh)%*Z3Derw}fkL=`g{g@@l-nM`nujeFCvpppe
zej_nCO@WWa*iSA&k4iPb?ay6}x!zusa(h^#iFF=D)9s_i>gnN4xs~@@HeXhdFU~-x
z^HR?RN^MA8e7J>X$|zNba96m3UkS0xZMBq6XT$FTOMeS&J?k8KZOZB(EQ8)9(?lby
zo7iT4)|7%pMG$j3xEZU!+KrR_qwsKLfYalId}xULKJJtfo@g9Z=DTi~|J^4uM&=Uy
z6Ya~rf=@$UQs;sY_zj-FIBx^gS{81Kb-3I`n16o@ysU^Vh;6dARm;+@7LaQ>ziEd0
z+Dehy%><%G%Y7fOiL{`M^F~2^-CrD=n;*=7k-bz!mGY^{#e4%-BS+qw6D2z+=iGd>
z=&4=rEj7Da1+CiQ*Y<ARL<$&st&9hPGe(It7)O78IoIYMVbFqu-#!ltchNIN7swlI
zr5nD&Q`A@1xS0zP2l(WZf#Be#`|6Wgkpzo#E?-`i1^RcQj(<SYs)*@pYJ^4%pk|MB
z?S#Thr?p?!rcMD9;7jNn;#zGPyGQ-NFvv1%3Tiy=>90lhLbh6D|7L;=%RwNV`}vl`
zelH-fOI=X`&`tmqL|o4>8G`W6F@P@~eusN0K&2>G@Em)?7UV0{o<VqI6<&nAOV=PP
zCTTY0T|rL%e!q;@0PYs1*-_`e8CdBw3OcJs+0{7MDrx(KNbL@*`&Qg>brp4@QGr=9
zh9(#JP1T_}YD6Eyo5B);Vrc(Y7dQP*89E}#>5)%H(_PKR^`h0C-50ge9p<BIr(N1B
zb%5@m2y)xQ0UO`-N}kDDtp2F7smE7%Ofr>tgH&UIx~9c-p=p&<-}@6dXgez1wy)?r
z!+-dQ%xdi)EU5=M2lP+D2IP;4DbLH{vgoJOP6AOP^DLh=nL8NEGH1y&zbU|r()}5t
zNCJ_@&Y+_<UgHs~^UM3WLH?{-zwxl7U(ER$2*Fr3+1@#}UYbi2nkO&PNh3)P@>wnc
zZn6jl)Xz`d+o5bQ6+u;PydJp4ljbs!g7|lP^l74Nf#j4wex4&btJ{XmkQHFj`2wlN
z>BIu+i4fSt@nLR$Ix;d+e3$@5Cqd`wKGIH{zyU#RG5o|{6`~Fq6QsZFmA(w6r@;)(
zI~iRr(^C^AoM#bAxH7b}2zgjQ+`RZQ^p>vrQeFC4>jlXF3&_j)<dY+@$FM7i84qhH
zN6J-Sj4VBsi~M2%S;I|U#NI=Y#L#>VP9B{1d#F`-4>NWsoVtobkr4_-#(oR1lTs0E
z-z{@Q2FJLZQ%OKXsTX;M2%gksw0->DGVZ3H5YxbJ5atAlb-AHsnhqtQ#=|eG%i!_O
zFFrVkuFuoY&PW#%g<uUcACO?e0{Mr9K)5Sa)4Pl*0TuJ7N(H(1pXq1iQ`bkqlsSox
zXHF|9bBZrSpRtE5@f+v}!9^*!m{cSf?AtSY`hvA9NJ@ADNl60)H71{NnL;BQqty;y
zbwjO`dtE)S0pNuXfZNL7eBtN3mKqjBUI$MiRkY_Du_BnU@(8+o-bMvKqrTg{Dd6-T
zk2}<~re5U<Ks)px+q71qozaanJ!d7JCaHG!lLzyjBm{vxv6~6o{j$ivZqowWpTIQ|
zfk0{&AQYRRp$2bS3>2$ldPtT2pqd_)>__PCQtuTI!!I>sa&0JZjluKl=F81jzPM>+
z<dB+cT~q58*HLmmT)O<}^iL|di4|Hiw6lmx8^(wO*k=E+_M>*yNM8s)|4r;S;~fES
zJ*XNC4c!4~uOv^nLyt~1kriVuj>@t;C}`)AtQXy<JP4P{_Af37kHH}WW=O&h)Cwh`
zHW`(Y4G2hc0$L;2*fE5Xkcoa>s?^}H(_f|GVTWe#5_Z#5S9?HAc(R|ado38nU_!)c
zyx#{Z9)DX8vcqga+zHL<s3u2cM`3^U?$?p8zmatOXbkA1T=o#jQzM7L>9@`XFCuCi
zHlK_n@P%R}I&V|++p?9%)a?9lx<*I33HuWH53#HK>SA@<Rzl*zDJ*MvM<wU3d1+a4
z7o}sGQo<2URuDyN0QmtA>E+xmH}za@YE@Ip18rgJ(EJiIV*pms4^%hJa!Y_yJwi8G
zedp4s1jtMd6HOCvFZYL+X<mpP(Hu#ErN5tn<`uAz*JB}eE$Z>T&H0lGdt~L=I|wTN
zyGImOBQ3gQl9=8&uW4k$+w5;-<t&w|gc^kSzyD&V5r6c5`1=1x$^L)e@PD}7|L@HK
z{_idQKkJsdkLja}b}c3*W`i%Nqt7l%*iRpMBjQVWrIsS&;KHfKt6yt+iavKnL9ST1
z6=D>eS{M5!Sas8E3iraLuWni;E3yhVcriXB?C3DG9pL!Ci10%4N7xS$kqnq<7nI#x
zL7-d<xNQy&V{ZV5s;FD3PCw_p=A|h4A|HJ5_?0ZZSw5$M5dFVWV+}F}m`!^sFdp^E
z>gm&1#x1u~5N>MY!BhcPR(KRVzg!bvMP5PYPaB*;vU-7DE!pT=p)6!n!6X!63{SVB
z5HS`Y#vkm<7n0q{3F7@BE$#hi4i?L~Tj?*wD9Rxm9;dkxDi@`h_vbQ*k|67(s9goQ
zrY7`H+G5>mj>7b(TH#lLA0}x#(h(kY^#Pb1wlL69;eCUQcUy5l<QN)xXMvWx##zJl
zs%^=k->4f%_Ou{f<SzPk!E9vg;)6!S)*)n;sE;xL5mfu-(APNu*M#!Ct!TK_?EQH<
z(~QBxk|5}4+*t-C>*N$oUQsTJkbIlggzQe1sU>4qc2)k86itEUzVwawa4YHGOr7wk
z!~y{lvvg9)!UVpj&^AX2Kx4<tNSFgOr3~6S9g%{RP3A+<Y&i4|jB)jnLFhXgkm7q0
zP$2n!n*;$^yWY3JIzYn<6E1d~>}}tf+J!e_C9CmXP)vR(9mqlEE7KS87YWqXgcjs7
z-`gN?QL#H;I&c$xuTm{NR5AI1G~GRQx_hkl3KH7@C+HSf1+R|NzxdZfFh{chrVovh
z@i0t)!slVk02l^KJ=>79`G9{UMX-%%Faa}Qfc-#B$Ox<hTgX7kXjgY=m<HFZoALz$
z;dIt2GRhRXX?n^SPJj4g?2P0j=|FG1JBw|bza)FJ0O$=YHgA4k)@H1>>BN{}Y2QFW
zPijWv&#N3T26pv5c7FB)z{iKK_`@q&1tOSh&rxsinMc^FexXKgOaM1m#_y-O8o(Mn
zPmp+YcH-^&ecO%9a7Q^V;1Ph`vXtwKG_%s#4*uRFq0IJTd1?v_8Z+AqoUrtMV?48i
zloUf2bOcywPN!=>9GHodg2Ez_cz*lgkiZc9;6PKpUx?U;M#y3hy*Mw;`x`U11&>br
z-2y7DOPUGLjcbH`94`?<_ro*foMd{<;wq$SlmVlIqoiwK7JRgh@+G1<Qf>)y);S;@
z5|?pfKX*6`Hk2Z<#T5u~1u@TAN4)mJ_{Y~!nOJf{;mmrA|C!bsJJ1m7%Ls6ljE7Ew
zOxgg$9B<_Kt{*$V^U%r;QDEpc7(L|AJAKd?Bka`|;5taZaQd0d^35v&ijqe5QeGcs
zvTQ-p&CE4Gxi9al$>|~N+tf<zR}%u0;T*F{a+I-DA|5T;JLi!%@idv!Cw7k!`CotJ
zP2;Xf+~r{N%>&ZI;Y60j@_Fmfh2dJKE9;0&nXS`w4IMkG*IeS*`ExNZOd1@=Ie_U0
zURSrm?G2M0%r>;##ad0BrM{bEV}LyB;A~&HdgoPJ<eP&sIW~5aYyGYjO{h=LGyWlP
z7d!Z3qxUBIpw6bJYK6GIC@>2|``hFsD?e|S%gjv{3UBhS74rR}z(gQ-D`|04C*W68
zChTKZXArf_c<3e3MZsS&itFqI`{E0v@18J5D|HzGrD%Enmn`TmZ*XXKV^di-V3wmd
zZ6=_c^F5M5$cxF@LZhSzC44kQo5npxi0hda`BJj9YfVjXBH&M~s5?#m83jvd|A?9=
zKX?sKN*z9Cxr+3|kqjo7q^<y){{9{pvI3L=OTE;^8aNPnEU6YVQe~jGVx2Nn0Wd%&
zWwuE)?c$I_E0q+7b}}(Hf3d;dH{-`qu=*NZIVQ}pxX&mgA0FQ?h5lBFhbhK+jIX(2
zO!QFd??f+lb?mI%xn92{#C8smJNdXpzX?Na1%sKJbXVKgf-29<uz(Qdrf?$@5f&9p
z*1J3&`jhi>b;oZ%!mL0>cN6(=vV!K+))gXx`8hBiPFjbt1|o-#!wQGLVk;JU`}^ON
zFu?U$s<xWc&r_#+Qcsvf-lEaeiK6LqN1f^S<j*$PJCZ+{-V{>a1lRFX=J}EC{2_lP
zTEgSfsdve%DMCd|s0=fLJ_x?IfWuNZj692w@6j|SkAR<t!eE+(-s*JuSFdo^qHE(c
zR3CE(XHIUZYhQ}Ud}w!YP-yV#yCt*nC-*`j{+r6<w{rD)h2+tR>zY!#XQZHyl`l5_
zEUQ8IDIFQcWQTKbXR7)w64a|Nn#P7E-m-A!B)q$Gfh!OVsz~@M80R$|@qakQD}MxD
z#)>Mi#*&B}?gx0uM~k+jG7q>TA5^hJud691(8p=mp%_W06+raMDGz{=*aBdv{>_-K
zBlZ|`5v=&&@#rJUGkz$W23pNz#s50K4EU9t2ST&R)-DIJOt*a)fp9L7s8HX1wl^Mo
zS)ElCH7LxXLAGisBj8+k1LBm8wPD`jz<==$!wC5T2%clFtC3XvKzoKD6UXf1NPnnB
zlnZ^<a7N-?G!a3Nc@Z`E8g-`pD>!cw&CfzRo8C(M!}#JxFr@>W$ua2v`69IfES;GX
z4+5FfKmihh=tR`j!;GCD(N7_8S8l*I^8`2IDcw%uqeejYO}Nboq(#}EAE=-5gGx8M
z&R*R!kkn7+!{oXJkE6Kb%m;91R=Rt;860o^<NbZdjk(>Qk|{d{RouaM_RCCR3u%i!
z_YL3RG%{`=m&d7>YN!T9S`m`s0*!?0KKgafzx}5>`Qv!ZWdriz?IK{C2m-2?{Ls|M
z0n=j+IS)MV_r<5S8Ae#Hd3bTs!?C<N7q-F9OCwWU+a7!?Hd)sy>Z)j;r{{yK=M-Pm
z{N}29O{7nMw)avo&)kjYd7LoB5u+-vE<VknvdypVZFb+FQjgr){*o2;otOF)EH8PK
zWZCy+weC67`_aC2ghE~)vms;ioVUO&3;~X3nA!B&>uX<4aUa^iqy{E*Vv_!?1`~F~
zdNB+(%aM#g47AnE!2NY{l+!{=GNKX5Y`g*EiQk#{p2;~_(fgH|+}2{5lM_q3|2xWq
zEMCVnQAUfi<SYn(>6ki;Tq6&@{yfANI*LW5(L>Zc`8?e{j?D)leF-iB>x;$uBJFgF
z{$HWj$3$oM?MZ@^&#=-0A1Jb7U-9YnQ|iTA39~`65NjaEO5(B7!F~eNn?|75-s*uO
zD#)CYSI}}%rj1hr<n!9jo4Px*`~YVZl|+)`!UKK!&D!jLyrSddSCjx_wHyp+3tkxg
zsX5fRWg(qN>Qxl)SiRm4*!2H)aVI9uv*T)*q}BapL7f1rLUH;{C;B<r92}j2$DJ>l
zg)Fb#MK5q~NSaH>5!=PghDwuvdq53yAf#e_aziiTa{n$orn)q`c=vS=_XyEX_Xa<Z
zq5nteyk|lz`-7>?OqS<XdaMt}$oRa@@<oEds%pmbzMb_?w^meX(IWh+F>`oqIVP&$
zChZ2^hyXR^J(D158`ttP0Eb47D^oU9Z0YM`MGgG&3x4QJBuShf@RD!9EqYbdj646$
zg`wxXEn0`UXHm!gi&tnrnqGj6?l)a}5AA6+OadI0l`J<=WsRuOH)1cn|1gQ&#XPqG
zWlhO6ojOYZsVDxoZUcw~#ZHpU)v?%b_DUnzv)qRY>m~wQACoXd9ZSADjg_;E(4F7S
z<8r`qD|J*vZ*#~0&U@WJN9_d(=Bo+5Ogi#*V>RQhY9aq$JTT=HRI1IH0>H(5(Uqy`
z{cl!?CbL3HsZ-Y3J8z}w*$xU8EC=_0TF2a>ez*zlk!=WMbsfY2y0?d3^}l!yw&Ty?
zA~9hoFOR5hf`!<5C`|4hU|wES`%jN?{N?&jk?~#Z2_qZ(snhwI!e~FS7yk2OSwfFx
zFEgQ}&e9IG)l(Si?PiYl*yev+)hC$eE^(Dygkb>Mk|{;!1t9c12igPfyGs6X18$<*
z%bs7dw()#sbu+vSyuqBzIQHLM?Y9&@MW2wbtD#krN{QvF!>{iVZ#e$L%i>67Wr9U5
z!UgG9wR8UC@|eNwXL%#iLd9;o7E#>_H!?5u_0pTFZII-V+v7c4oQ4u}M=DhQF$$j8
zxDjt@$JFqo(sFX48fG45vlQHZ3uA^92SrksghSYkPqywKKbZpa$s8lV_ILpwn}|k8
z8P7w;w7LZ6<oj$dGqgpRrUsp$1L!b$tzpgvoC)K{+20>M`pie{J_v+{^zJW^=0*6b
zzZD|48b&t?Li*e<CyDq;JRq{?p$RN|7=%Q0@;`oL3Fad=6Prc>oK~8#m+9-&l{5Dm
zDmYu%q~!vj*N^U42gNYm6vh=4X_M|ClN_@L|8cn;;hX!(2=~pQiZ~A#ZE}v<aA;J8
z_SjMp3lYBTdLR@$<km}RHv={yMK9?LN04_0TcWGGNIDO;O0ytC*1;~hsaDFw#QdCp
zTB)2rGAos%7o$jUwxv-Av=JzQbbl8#Yehbh<d6&TO9tuT(Q#S{4%!?#KR0fINdBh&
zy(3quDc-Ow{_$*yUB}!$uYGXB@}W9$3r4M>I^yT;c&P>U%X-c$;G)rxFy1D*53GmM
z{}>Z0S0^-pCe5l?PqgAmQ>H#8*dJXGv9{ObHvoal6h>|ci^-j385Ap`vi|X;Eo4qw
zZFMprWz>ZPREUIIZBOlhN9mIqG$R?cDV{qO2%c*|E5OOD`A-Y-&H$fYgA;yiz`#8Z
z&Du)~$*Y~%6XYsITDRca+dx!I{@tJZ+hnv*a^QB_5k>(9#{d6xeC9BbjrR#*Z%BTZ
z+b6(T<+hn(Xx)@HQerhCg*!)zWN20|%|maU3}3UL=Oj8hsIW_@jSml7Z?f^(t|`d_
z`QbSrB=Xc`*9YTZ|26M5o@CnCzk?oc?A`Yq0lv)H5G9o&r>Zobn~4e!`!|^|*<Vyk
z^4(2Jln^-6F5D|4CwyfwGl2jq(DA@GT*Gz!>i9Nr@O~g8HgS~hG*b@nOlERC?Ub5V
z*RImpUCY-punuqhw_n;q%trs)??vS^k^67I2Pa~wKAZ^b5B<OuHldj9R%)S<nc!iB
zSZPUQb?^BRFN`{YDr&%Zn$BI=dZ<8?;o8*;^ivf)=pNTjG{gkK?w4+8kBtZEFKGBe
z@}4miWg@_c6{P8AX`9#b-+VQm9P4~IKFiHjTfx=l?%_}UcyCtJXwqFhxf(znBC{yD
zqc3gt@^4HLi3l_$ZX2|!%jgNgnCi%-I2jrx`~HE!d>T>*td7T7i+jt?jYgnfH}ul6
z-M-q%#37u?1l{8;v0PUlDiaP{W6cLx)(a*Hn~;^sYSFU7m*^~JE7Bi1RuHU>4l7Cf
zxHxE+jDN*i(<m=^e3baW8zdJ^_(+d4BqJo2yf?q4-o)?H=J|Mk;u3TokykAlh+}Tj
z`?)4p)==FmKH}QTRVQl<f~nZZ11vbncTC!A!T0AUZlKw#2-h=fTbIJ{t&K*Pu0Htu
zVKWoHu=c+B;{yk;2A({CKu3eGZZG=!aRF{h>faF}$`5*lJ~+~(_&^7GqdD=}VjY+@
zF~(S%08TKB6E90K->R2<<`s}yd@vftuz`tVy^Dmd<EW-7=<iF9(tYFuWw_g6qXCWo
zC9!3+)D|p>{SfdS+h=(P@Sfg~Q>gy_a|APQsHPjE9a!_{^H==F6o(lBMeoTJwXgMR
znfbDEb5RbDrq=#r9c!}hQl_VUy!I8A3}ECrs}WP*K5pMbYXx6y>wv>4F{*ZE9KSFR
z;Mn_l^i+`o=@bo({|Nn;v&*pn4wZRu@0>+5NODeqwzJ=ZNB5JX`uI<|=LmgmLGG0y
z<}7a4n6a@X8sjAL1iQSM1mhE54uzlF${DFL?)ccy(8?l-IhqnlKc(Gb5>qVW^h5e@
zCjQKd)gme*BIX<E$s2X`_i;@6^VzU3RbV#7`;>sTRe{QKv^Y|NC*DNoJmr)0<({(w
z#zo-!JaTinWm$cjsabv){~rDun^I=JwA@_8?J(TQYt6+cR%-0LKUM}$DsCEF_zUrR
zG-qDK?-Z||_}%pSo-%Wha`R<wQZDH$U2-R;1-o}Mi7CBHY!tD-06vX%SYnqQ9ie|@
zzT8imyeQogQ>q(Ns{eJjju%SwZJyQGv13DH0R2@F$c>c8Uxfcg)u}~Zvci6-`}1{c
z{`|PBL94;*XmcVA{m1LdV~X8etTEWKG99*a^yU8YCpxL=i_IZ9#Fc=}<nUqqAMjuI
zljbi<wK*wwq_4l;nLBi6;8*A7qV@GR;3u>NgL!5LC|NS4HGZe-#*NG?0p1CXG_-?Z
zFxp{>Wn%m9?}7X9$J>ZT{_y}gMLXu|@vk{r#53`0@FCpzRv-N2mH5Y97LD{_nq&A0
zp5N!{O?+1TZImf2=!NcuKYR^}^w)p=QW5#Og8%j3>2IE!|8jBv_HFKqUq9x*eFJ|L
zUHQjD`HydEoBnZA{^NW9e9ruF$^Y>>_r*-2@gM)r{KNmL7x-{7I3)bjVdB(7-J15#
zz3VzNd+e0@flKSOM`V<cG34n)6eUqX6~65R{`Z==epLP%Pae8iX6BDg92!_`w`4&l
zJb_%W0mQoFuyq!rsi{aS5wv!ZU&wycYM2gs@+qlukekF+rICXYA@B2K_WzV#NAyFO
zvi&-Mls?7b#)?a+AD4z2tpt;k59sU3&uFo5)ffQUy&4k^G?{GLYkM>jRZi|{OCwq#
zncsm#eMvEqvL32R^+CV7iY`m#11ns{<yfs=lWzF<JVncm*VuK??3gpyGqoqt<Mdxh
zNhcVZn}9IwKesd_zde_xc5sR(Xur`cZGVi(t-mYx+ME=KJFwYd|H*~GvjZxBrjaIq
z!q$-OIg?@`)r|WAqfuC~^%gru^s7HAyMn;f1@)A9sTq{EwLNNi5WuAH4cu7r#^yDe
zr^&75$VFqn1226xk~Cf2nZD!nCBMqfHdzvC9erOTV`xKdX(Vuk7A6zxtbOL6t6Y0A
zn%a9xl2B@`vdo%PX${)GLCOU(Zl`IDBW?y|!?F)-EKgT_(*pgp4`tURkR+1h^Zr|q
zBH6+r@+md(5>9PRik=z^MDL564@A_luRGOCm&(3ZPoz1WpCc1*h$NC#5YzOfW7)zJ
z0`xWHYEHt428ddUCvOmoM^a-jCxSR%WXnt5CcMJi=TNC%g`y;(Yljl?gT9}?^15lq
zWLCRW?~=4rLrEv9Wh=cv@wL#^n+^vA%a36ePYTt%jd$D%u&Bp;7@3<7Jgp%!=z{IE
z8B-cH=J`tBy}i{z&thO5W@ADF|H&<vN~wfnG~U5$&ypDV?Yj*%sO8YdH;JVaGUWe~
zJ)*DR&^6kK!kL$Ws9{lAvT-Z#CeC`beUb#igT5xPbY`8}BB8jF-%#^403Ix9f8(jv
zA74K5f+Uo`ZDIg8Ed4hORKz?Mp~W;nd(1*fPXpD9-RI8w`VQ@xR1^agMH_w5A{{Sa
z?h;(zI0BtcQ6`EL4Vv-bGq3u^&kuY;kuB)>ka&c5*a<GMVGE&>I!xmeZ1ItJGYu>(
zjtr5t8bI7|*-e*_XKg4MM(Udf1HgI6wGLIi>xDSklV&3}y$;@8ibQh`S!|R1czdgw
zmL29Hhb&zFDH=IZt^62fxvFR#OxE4Q{+8AI>yZC;ZRPEA;sm`6mBFx*C0l`n`RzzS
zwD0t|!i9pID9ks7O6^Wgiv+(OhkA<W^$Mdth!3a=GIQec2<Q_l^S?bZ-#p?65=*Q;
zY!qR9PV>>VxGc$NZlB5QH_@)wxhs4tern&;FDSmGGBB<M9muiWZT)-hm(pms1DlB6
zkA|2pwf}2f^7d==yJJzb6KPUxXZa1qQ#w0t&?J-Mk~Bntxn>MJi3d>e{h!f&@qS?Z
zG&@|cD2)O^=2W)2GdANG&$j_S-21ojlQ{?B9aOW%JKsj<NM?OCmhUB5t=$JMnsHWL
z5cfFFEjCZM+Ci;a=+-dNAK|;RL}NLJ)Ac(66`u|ORpoFyOyu(Rkkh8yS1Gdw&JFz#
zJF~(!`j%iIb*a(%;LG_8yqadu@W3M{JNZa1#3$TMnIt|_fGBR;=D31(fb_h?Y{0Ts
zr1tXFl4&fDDA#Y=r}UcCzIHRp+$GDgi>8%rQ-k}LHI1J!nC?hk3XsUm%JJK%)rU_m
z<`FJ&(#8(P*7<#cB*{|=6w%_eV*owe9Shz+BL=INZSiFgq)64>E0FInwJ?^r)H_FG
zKnB!uSAdX}08Ft+8|0HJ)4v_ez^nqLq27+Uv?PxO#kZ9cW0*)66+2Omco79;7+6s|
zSFcH1N8a{fJVFz2LotA&%h%wO39_R2qgj|rrn)@*mJM#ZL11+%;Z!<;y(WXN-JVIm
zF@KHWOUZll_s_?XK>mQ#C!&@B=gE&mt0BuJ%t=$_eu>WTC5|%;ZUfTx=|~(@^yS{Z
z^v{GMN`TIiYf=}WzONFEc|K{8@*t#yWT{nLQV%a7(ddexH1zIXz*w2k5Gv9v&k{OE
zn=+$58+q1R9E<z$q-_BV&2_j%RCMaQqmi<kJmSoYkK=4n+NNCfWhhB|`-im<3epe=
zjdeCS{7mo@zR@AO#L&RL=y57$s2^cB-{Nie^}J3np1UBkBR7m)0kSwrv#+}*%<C5{
z>O<%KDfqB+0sl%587C4w6z*P^-uQy1vV_a71VKZN<k(cZaBIG_ryfrOg|Lr;69=;P
zaRzf7zb8>ugf$W$!%;8=;ueP9gN}*|jSzl;&Rs$VjmG0ec;Eg#IK31g?rz&^v1SNN
zRVctEuj-RC48?2SbY|WW5Up?*>usoI^G}P>448Y+rIIkwvDAq?I>5)BO;L1Pl_Fv?
zGo%QIU-KFlt<qZ%metxDLYtCOeH9tH48|`e{9w&FpZGn=t^H8-n4S`q%>lZZ{2YmA
z)UkNYUK32rq@gM2$SQzXM(_2pLy13KOE73ciN>b*TG#kR2>ZQuU=s9J=fRzfZ>&do
zY)5MEaU7t(<;D$mfa(t5<nviv;An#_Nge>uNOFx4VwxQF+=%LPa(C)mfK=WfH4Qh@
z!FYGPpk>iW-qA=~3~7kfX6NIk2#`jZhJPhJ<`jQATT|i(Z+^LwkFqfx<R$f#Y%j@Q
zn|Epe%`pwH^oz^A?Fr_^QkpFi#6K%w^2*`fj!+Jx+o@$529lAtUGCRm*Za_L8j=_e
z;63avFR3hOdjP<&f9Ij%@h8cukoYsev0`~XBJ3upAC!uF^p4^Sj*k}Uus7FL7303!
zvW~bbG^!*;WJTO53j+-P6Sxs!r%@%5_M8|?1CZeGW3TIx1HkLN8?BXqZQl>TCP<J7
zUl9Pt9m7i^U_(L_YxCj*oXcfnYq8S0r~ZQ3nd=N&v9|=_(`Z^UHK|Rl_!scV0$nKc
z=mL$#ta$GjQQ&aw@>eds)eOD9M9L!TlhVy6>v1izKUyaWmWOTseLrVq4Glj6FJ5Yu
zPGf7xE{nMLY7V*<mrs(hKMs%p55YS0`5d$RiLypH09U7I5cjM>^5&lb%jEZt*M$PR
zud8Mdq3PK5UVv}~wU!q(Ekwe@lC#L!6i|+6NX0M5kT|HUM?I(QV&OERZ`i3E)8RK+
zsk;_w*nXPbgr-Zd{N>4VW&XM44!{OV8)1k2BN?5x%I`R<#`$^x=hP(*Zyi<6W$IUg
z2~2Uy{tPO5$z=JWc)fDVpvmiZNRnzck388)$(!=&S@LTz!D#TPqEqBVeWWedG<J0D
z#4}|PhGACx*vkPb)n_|na@D+-*gw#7vuN7-rV?6ceROdf5h$2(h?Hr@E+-MA?6!iX
zvU=)oXSYIODb4pesM&qWjI+e!0Yn$kBSUU`yt}r=w#05)=%C|_#F~;OGG;TnGF8z_
zqx1t&_A}w*PP3>oy|?d}6R}Z4%bo;}=F^XLkAz>mY%*jJATA_aKWszTVKxkXYsV!k
z7*McnA)>n5Qy3BhOM|LQm~1^Q4Cb)Xejf54`e{TzJ5G?xSUKiC{ku1bV~LYbCW%$<
zX@EAHr~cBE3<EebEsOGu?W|2wq}e~ck#iA8Fk^Iv(}*Eg$ST}YW9MI`am^m#fHGxk
zhb2P+Unw636;kXrA4_BFh?>h)*M#~C-?8G6yt8-<QL-LxcB!WcPhFTL*Yf?h1w5ZF
zShUlSQWqo63XE$Xn;+~z_Vy4JcUPs*DRwL|eetP~wo#iQd4sx<dgYO}tp>NIk3S{$
zn?IlyDkau58Bhe9dL7dl4XTcsb~hCm><FoN+Jp4P2dS5;7Bks?psUf|hk_EKfRjX(
z{0^Z)$k8sY(h>G(jDUc68xH}tB=RKFNNTL3K>BGBF_O9fVjgHMZ3Z?;Ex@&$&E$1n
zb$(gs&okDEUPc0-5A!$9+3|MB+?%GKSssE*xc|&OxZ>$D*~9Tx_Bi!pZy^(j6WlS~
z6)p&QbXeoe^V#?k+bJc=kGi|goB0I6T#Rm2+u%>To-k!gqp-&tIp5;&F75lKdk{t+
z0UU-X`zkd@-i?~5fDbcvmXyW|>H$QjIN9-hS0h@43*@JsOkLjf;q+h`BF3R(QqslU
zP0EX0tlG4i);hTQH6T|lo!>1Fh+86R0uXb*|Hvl(YhlT%m?EBVXXAS$xVChbz}kj9
zin?&V9hk1RW0gPBC&o!wWC#JM5l2yxd=>%i!2NXN>=RQ;*3nVjy1)&VC&>pSf=R%Z
zL*u`&5PXQ?dnLO1J;})BFNamMSZ+^QTh^0b9pr%g%Zp~*IP#ZN@y6L|b3QYu=yV$!
zrZF*T2>?|z)JOD(hLX5x-j>9XCC1YSu`6}jUmr4F<Y5vMl?P^t>Xl2-1(S6~L?e!=
zoxHp7x}cDuB&(0gE&X_;Eel{EV?abmI=I9h$Wi&B3fh9bPc~w;3{sCArB1B<%W}Ur
z;S4K0ttxIwnXc1T^0+Jh_-f)lX%GJekcgc|cINk>k!V1W%;&SDDI6AFROTVN7cQ_w
z`^*SNJUiEoVHS$tU4tT2t-5hN0w~$YQ&BW##}@ge0G|Ww;Zh+eov#r0q62&|yEX3j
zLBG4Y@5#$C|ECrD%SLt^=$u^G!;y@#XZKZC36~LlvAEkvdDKg~7~mk2Qhq`;J>xPh
z4P%GUQi)yLYjXIba>xg2V9+ohOlKmq4-`r}M=dXGR2}{Ft8$aeGZgvv^;;uo^aM~x
z`8=|t0%7NfPNn*?OF<qUO`HQXq-a;O{6yf4bxj+Sv-<;biY>>4;0tnRmw4#ts6dq2
zNG(nIQM9z5qHVHJmQ;`X$$&#%2|n@(`?Pjm7fE8gQo2YRN*wUCH#jPi&uE!tps$i*
ziM?N8)t>hy1XwVgQuaQ+3*=W?#Do1~wn-{6vs*)*(BX>1?Ro7PW0Y&QE~HH%?oemc
zY5^5jboF-Kwap;F_MCCz-iS_7Bkd}AB@BCI#tyekJj|$}zou)sCsECJuQ@1>rX<(O
zt(^RafC5}JLAG@kg0S@#@w<=JE^VzLa2}aCo+%z?h`kjumr|emzX$Euat;-F`m=u3
z-Htvu>_X!N#ScKn`b=I|S4+pRy&hEa>(?!D-z=niO?uzBMZk->t_yI-rYj)vEC=AS
z>ki)u_=d~pg%}*TNF#r*YE$M-@~Mj^ls6#*y}Q@`>uIL=%P(KgGVLXp`ni%uQjj@_
z3C-BSVpc+nbuN&{bHJ20fg)%^)0|MSC^GUfv<UYD1O`guc@UirY8g^LjvDo~PEiEi
zgMO88B@eB;+2lh_2Xf4oOYLc~*J#;Cm{6%r#*Q2pmyJZIccv94T)Te@mKKhA<hIsk
ze?#OZ(d$dPh=kjIx}w4yLcr{Slc=vreH$AhJBgJMCuk5f<d1Vp=Frxqp~y@t-^uOB
z8aj@&hH}(^+tXOFgB89K8Y5~rY_f)Z>G)rtRk2-jXM1L_e0@XJL(HQ-P?Gd{ekjIv
zs$98V`jb`a3sw0%NB|z4E@sFW*fzZfjkNxlBCkE^*9CTJU*I<`VQ+;dUJ^bJ@8@-E
zut1(A+N4$LlGn9pDq2xFC?W+3#HhNyEEGn1X2pw%2utMMMid7lTYvnO?D%ZK1OEw4
zWUj2Np?4ry7j4up3^;9oi`Y>yNH!}}gVF@XqCFkSG^fq7rV9@u2Rq;g3Pm)VvexM>
zsrI12o$KHoq?EY`hg@xRlznth^U%d%6i|5xD#`u3tSvr;U3bu{qPe~3_TviR4k0>J
z`pb4TZ&TlO?XfHK%1W=o>EwQs<z)9lZRJs{x3*ZpxI-1bJmo+RB22)a^9@T_+-t+R
za4M^N$6tS<^7vR%X4oxU`ZhJ{GO0~hpiU7ESUVr`l;3u+Edo%ARY~b#D%(1HCQ6^E
z1D1bwG0>V*pEQ%|RSGxE#4;PUni5>D&Whi@x0vL;9zS01+3pnG{|NPcnCy*0o>>8j
z-@!h>0KG0cGNfMeEx$!AGn&b4pNaB?<B|<kkn=-=9v|9+Y%liQ_8no))ShayN3Mg=
zMUH>5Tx47*al&#NGb9(T7dL60jYSUmC&$uSOKL#7CemJlqr1v9C&6u!`%5G;2Fwc6
zf6%Mv=+KHRN6;fkX-7a2Ng&?#5IeF{mVrQ@lW^YN3eU9*4`i<MmWd6h!O&F3|FSfg
zZ!{6KVY22neKf;k1v*yuXl@TBb3hs9Hbn$gQLTc9Z%c6M&UITY&e)czFU!GEv-|n;
z3uvMqc>6<!&+092r;~$9O7Q37S$^mk`f(IDku`~`wdJR<RCIT?!@e(YYx0s%*g>gS
z_oD&`o-a{>bwcQh-I-iiQC@MqF44ZJ5S!;7@T3*3H7LjQuhs9(iU0H3gH%T7+5vW6
z!)Pw~yq-7VMi>TD^6asqodHzX;?B3bA8Wq6Ya{59j=HO9p&OzemlBlK%vUtiLudZz
z9xzBkL*hNYIIRHm_GgLJLb82PeJ9Z7qoLa8Kvv>@A3@GfWVUY5IMafLOi8!uWBZuk
zholA~0DqLouK_|Gd#=#1T0{JnPFznG?x1{LS=!c9ThnUMUTOpw;DvnX%l`K`YR*HF
zp;vUD<vs?K3zuuRO<7mrU_TY-@}yU<ekW&;HFTE-vm&T5L1li0FD_e63Wvypu^Kei
z$SJ|zM;X3d+eC>sg8U;?KIF6pDM2|SZ)TP*)Y+t#kE6iwll(*o7QK|al-zyBFa6|u
zRH5g|D;`~M{VRFLKfacS8~cTYgwkMq=~Lvq`>}K!vpd0XIg9wdhU_i%G0K25^`xg6
z>Lel(C8(PjpjA2#z(`TuOv+TrafS+WW%07lOi4oWm-RE#O5v_<=Yv^G*F^1GxX#Q|
zaz0V<6JtG_R3YSmroinAM`O4+N0<=*sp1$ZDK2&<0mD(`LVqjXm)R2qn-F|qsj|Do
zuL^DWr->K?&Nrg!1e&nD57;azbZA*j?OkHFO*z1KDCuOUvIr#zq-r(u89@*|Z(kyR
zLuip-+|-h#E~;1Xk$IH#93$-yJ&$^{|JJQp_O76(azrwGCSXNne>SGrFBE~Up(dgJ
zu;ot|!ep+u^Z?!;$}s^d5boi2y=VHo6+-0K*^)tlmrP!WP)lv)(@JwWJJ9Ve-IJ(d
zeZMWn7D-edK%4~-st)H20N-ywL?{hYCR47~K{^ixkjccqb(8FcTBdn{p;_=w&y}sn
z_rmPoL)cyF`v0)^=J8ao-T&~eb2N}Mijznhks;NVDWnM{Y${|ZM3ICfWoXi=WQeE`
zGPSp<kctea0i_JF5zU!GQOP_#@3kAw{k@;p^Z)bvy}tc(?(TCM_Gf>tb*=TDR?zf>
zhwFDFy-xh1Q8|CqQcu%*kuB(Gl~QuVEGg0;6BeFpR>?}r9-;gzMRZ{oARI!%x_aXc
z=b7-Qdkf#Ejg@P_zNgNw+65gVO(o$f`_T=orfrCY3mC8cI1&%>`e}5Oe)hqWrZsad
zVw6ZqOFfu<fqgVT`COvSaq$)7xN2ytN7RSq$xefiyg00DJg?Wg2iXu=A<s;DGT`sd
zMDJ9J0$|x%D9kYYi+2XTe_gb`wuuI2$CNcbV1F7$N4<NU)*w|%nG!#un}AT1*<8As
zUlqDf^LmvpK39Gd09KA`f5x|0oqg*>z$c!@mtJ<$-JF#pD<_MeTRyuP2l0{UUu2@A
zy?rT<4~NWSMpEC_1bIPaq^B6VU9Xw_luc}vDJsiXND$|EZw^=a6TYm+qMGChSD7hI
zW*$OMcj(VR$*IrpAuNQ_j79c+I9Gzr1nxme$x+4EkWJDe7KI&rL?ao6(I!o=nfGap
zXSk}%!Hihnp<NZ9;2IgLAHVWj$QREnWLeXyEgmk=${_}dcDf7vsw?QvvW=zDoq|*d
ztjoF<!c}MTX(qX!y9?en%g?jg-GWOdsV^m246Qx9hsv4-Mh=NM4<;@G*B0#_+d}D_
zPh75Fm$+cSKTAGBNVE~C5;;h+4)%eHdEnS;5<G4Kn&*XQ!&nUpM5I3}xmOlpkUYgc
zUad{`g8U4Vn4z;4s7g4GKK&AYp%Z1U(ni828t~A3vGtfAF-(Rn*V%~?%PP$s(?+4*
zky+tJFI8#^YCkoVig<s=ob?i1Pqlvg=HkRkUoe*yURZX|BYv%!@2Q9<e&Zgghh}hX
zIKLlqycHvQ|9lc4J<8|boN{V4{~x(HU)gJWb0hzv@?<u500q<~v(n&`T%(vP1lJF>
zSJ8?U{@A%bm54w5gL1em0BP;eu!lgSVE|aGX$#ZXoF=h~OpEQ>o5Eijx1@7$Um5*L
z0vUP0AJI(+5Iu=&`zEVx7VdEHBnoW<$O9dT9rwk7pxqA-Ba=6mkRY<#K;Oi;N@qvC
zg%QPpMjn@Q<RnF$ru}?u_f?k@wWwdojpIs@utIF_KND&Tra3D1&K+b+NTXuy)*Sh`
zigJ0((!&-d&Z)gc>4d@+TaA-My8z5QRw=wQY36+j_+{#+q*8L$d!5UPZPD%<Z)|Bq
z8R@VR?R_vlQaMf)Jmt`gj{$y%s*4N^%{tb7HqxZ`0qy(<JvIeO4aCBfM+zml1O9^J
z-*5k~1ONq=1TK0h+(Jvx$;(DzL`zC*9Db*@zr|KAUj2Ws!<IWW0*qsC=DSC<p^luP
zR&d{suau`Rq{F8rcy^-pT7wH#FCH<Z*g}lY2&@ZN!F-!d2GIn_|29Q7fq@C8SVr`L
z=Jq`&$&@2-HqL&1`D)sWTg*RYP#46&TN=*s<~ZofJ^GA&55)*$-Sn|UOvr#=q^$Oz
zWoC#n3|Qjg^=2;Tj-&qBiJ<_KLfqB;=Xv0=dMy|l3X`Sc@KUC-e&EsS%4aEh?#U;#
zXshltRBZ@hru+91^Gh2Smz1(r#o>Mt^4=(QLg=^9?ru#j=S1JccwXx@P!yPD{1cb^
z*aPi2kDSI939v+edO3AcI+1|yh}Um+`eApijj!2x4Ig7#IzB&m|MzwGu{|n#uH_*q
zf1%$#qp0UT)w&e_{Wmo&=$8=jpa@plgM+?FKD$D{f41@HK8ne}p+^^*TscYB5g*3v
zwa)n1C<!(zRbC;SNSI>l(MZ{6);D4#mmN{8-M_;NwKJhg#;qc9U$-cI6}Zj53J7`s
zJ5G#j$3{o_C^m)ywmRSU8VF9IT)OBc0tUl>()M)&N>Yl^iDf@q*HI}pG7hbO`fPV2
zF>nF<(~wMq?a16|^O(PTVIXr;x=XoO$B%R8NRKRx1?3{V<0Ygn4&7HQE{n9Jr<$;S
ziV{jZyWVk6*rI6(b6D>-7COaFROb<FWG$}RgC$cWTdaG01G@_OR`etKBb<5I+yu8%
z6EYTM-dQlX1|6kkMw(g5pa<)R6hF8oCA0mj@Zu}ua?ZYX-{$9K!qrHoYRlKRS`OJV
ztul?jK^Y<0OrlcF<oLBllYG;}dglhL0xFm;;nXo&x`ye<mBI@hWQua$1Ql<Y_8bxX
z8tWbI$q6ueW{!M*R0<IPtd9%7$vB|*w`kwxJTqv`Ao=iM6=Z)oh-viF(s|98W-E^B
zvkEMy-~#>QyRgNu^j|baYMrC(N4)hSBdXKq9!Ok389nHIM0Nx@!~0DEgCe^#xQsc>
zX%u?mrx+pXOstE`wyCvFq@@KElT_BGTdqabNf|p2%fwI!+H7e&tkzq!$xHsU3-HF;
z>coZ2ce;Xm00y&K2Y?a&RV&BL(>)@bD>`+QJCFjA@utYR=P6Hw&fXp^9Wn%y5)0Ez
zn)F81HWZPpWTh4_$`C={RUY{}Z2{(=uJIZ2_R+VU&_q-|`#6Om{P$3%8#mYl^D#!3
zMe=+{Y2oE*TC$$!*=^PI%20Y*A0=V~QM;PlxUBYbQWf6Vv<iJ_<j*EvYuuL@xxBV;
z`q@5V+PFf?=xxz~OMgz8z~*p+!xMPtgxCA`OSsp1PzX_0<2wNG!6;ms4$k3LMQ`r?
ztxz{eF>vG^CLD+J*_@h^0}yJLiP2cvM9`J#Er+50jQoBl{anxQ*lo+QwC4VAmk>kC
zYWa(O#ub@di$Wd`LR{xXTf(L9v?c7NneC`QLkx<1dM(<-ia`F$c)VQoi^@EwlcAkD
zO+s~q=LB8Z_P5Q$eqUJ^%VH%+E_q2(Aiz{4vQffKR1P@csH>Dxr$`RMM`BJ$?-6so
z|2tVM?DTg*D;-8Q|0Z&{0)$%T<bB?Efdp=h7A05xSMKOy)<{xh0ja7{v25eGveOuB
zjgECP03a|WP7f0eFND?3?7|-BDN}SM!#HE*BKf@G4LNQm*O`ecl1ZlU%s>=W>V{a2
z6}Ymq|5Dwz6Pk;8YOG_8+-XX+WmF=gLEvQq$Dk#S?rru*<Os)jQuiyv<LuDc(=1Jv
zFz%I?ezFRW=knQ-vS$n!LJ68x^LF<n!_s|4pRvQG%<+cy&&TIMO5*hLlaP(sl=hy<
zlpy0jYwL@Dd$+GH0bY#~dJbw!ggD2GwzMwkNo4;AoY5V=E0|g%Xtn~DEZkIs8HpF*
zwSUG;rQH|&e{BvGJz|Jd2+aEj_!Fce7U)Ns9JDOnk8rvY2<1cE^U<`rVme;~vu4V&
zN?b*5LHY<`Lp0cUz*QGC=M9z52=0S#;`WlOw)~#Dg8Qg8(Do2oN##{fYYIi?y_04J
zjY2B}aswmuBB$4AizIsIPEYckC(>(MoY?4yXoiP<Ev$EI%sedhX=^SOT5_tD4_;u_
zna-t5w4;?TkU*8TaRkusTQv4OT{}#c=b35cH$~1yR&@c2afK~u$E$iU-KMzZ9;Fvx
z?y+{5Fc;a_Uk@F6vD!o9nd+~+d-OM7eTnBrX!zzK^>(XPjDb-v0>l8~->EzA*g-^0
z+W;{0?A|T4!1+Z01@8a<{thhoZJ<rve$ke)lAdH7z@~_@k%Q)sP)oO5_u}LO>6Qa9
zYFxGcK-J30En<i8Y_ivealJ7~rrrn%@ovM~+&w1ex!b<r04m(vwE<9es(SrfrE?7=
zuLsBdDDwJdE=K(ee0nWT$zf#vY$=rZ?1h`JZ1;m25L~iV^Q@(&F$}%GzT6mui+j-M
z?U;~Cx-XIll@w%FYrG_7JjnQs6{RHgq7^2xC$p+N`l*b?1%K9-d*r0&Ll-J847aW=
zW6jjM0P@SOcAuaHhKO$XX21_Ghl6vGfv*t+W4r0Dq;T4!R5o#mo6pO{`0BP*m<94_
z6wa#r6)$_rwj(lwV(3&9fw<_!`eBa?IeoVbe5&>OarLJB#~^v9;B(m`uc*5s>m5bU
zK0?zNprjCf69x~Vk<aO9qcgz@woTLcXvG#6ReC)B=?3V15$7)NHhFtxT@4^3dx;tH
zl5nS{f){i=NYK)o(moiwDE(EB>EMhz6ZY+;gxyC6QwBUx`mU2@1S;2=uw{wy%bhTv
zq4kL)!IA2n+gsqf;gGo6`)jK%(qtwMS4CN0iHxd?qj}_*)g{-G8JqSLn(JJ-wBMY-
z)oxn?aEtjlX>5X;vGsKGwH^<E2t+##fLgoM?@C3KNJYLV5k`j$?_eYr)(10t$80m0
zi6JG#J)lqqxV@<HDe<T?yYhVTxzkV4TG)W<tx(Z`Hkd{;GRFn@bm5g=E)W?FCxd^{
z6|~R+D|qH06bk0CA41Q=Zo7eqnkD3GOAyO&si2Q$-<OQPZQ3!ERb(RLDr;vC%ZoE(
z9j8(a7=Qd@-R)S~y{vlxjnnD<4|^`%&i9yp4>~p>qWNF8t|U)1L|R4L+&6#mO5PTN
zqL8j9xDzr$aYPh6es-Z9{8B167Zv);09sU3gB=lO3qbA`K_tlt2_AC&k4JpxHW_s;
zmQpkut%>C+z1Dl<1HVN}8whT%d4)q`0<jpP2%NVFoWh@rrs^$?r^6RezZR3;iY>>Q
z;*b*6<8LAl1^l5d23G+m;tKEe<@OI{CcpHvFi9EjLo+{sI@wcaLTUt}cYuSq+y@;T
zQ(J)M<TNd}$Nd@0r;t253>{mmdL=4n6FJFgE2CboOJ3~7yK6tcs2{=M%@+MgOAv4a
zL>#IR3UUKdu;a}f3@rC-(igr+{RUsh?RT{Jp%G`qbqyj@(Je^a=gX5PILT5uxH^)X
z-9xP%qiLULyhSoOrBRL^iOocbGHOk{R_1iV`0NRpa3;`5(HitHUiyJ9tb`~F#D8TI
zg_R=2HEL+PDB4c)lua=%#37LGii8nMN?%drH!?TUFt1G4Xd{mhcvC6&_cTDjAiwEg
z0YmEzK;|jDsmrfn_A=&N{Zi-_BKS`7&M_1z(e;a&${zsUk&vpk&;B;RPaf9~`m(Bp
zh+m^;iS^A;=A0&s%4y6zg2Zj*p4g0L_PKY0mNUT2IjANHylSH9iFH`_aS2BDD^dX6
z2rYl{^1B9QQ9~w_F%JE*gws3pPeSXeSqd5cqmdY(!t(`Y<>EVARM1BY>r!J$bQv9d
z5eyhr$%aT`{79LVK)?Z-HrYfwv=~%~D2n_o4E7Hu8kB{`98#?ZZ&fDd0!%R}b~5jJ
zCBF7w`7~d6<e$xsw?e3B)VdY-q@U`bXhg~%GO8$mh^1NV&%cb-NY~LlfR$MRN}h%8
z=Wk|c50Qq8;_88xHVfYO0w5#sa`kmW)($=g>AUrsN-&1SXi3S3SYKrHW{_1=OBsPq
zS=qeWL2806yV4n2+wqm45@8VTc?Jb=)}(8k!45zrQ9Z7lQ;sR;QI-lqi{4OGC%qS3
zJf20vmh@H|ZA~gju?<pLKq=)*N-2?u*ql0bVaCAxuQxLEV`xxD9uh>)x3jq#EblFB
zMX;gqI;|(UoA!NWcMsQI^_@=ot&73KrJ7@B`J9qfv$M#b$V-~VgZ7dj7m-8G?j0Qs
zLX6O(<~N{S%Gd1q_C(p2L^t!C>b#$`w>mm9?%_nG9-1mkTBKUHF8uCyoQwp>Vb^`2
zu!Oluk@kg<#iV|d6lePe)NNY|o0Z6>ouV}cnwOaQ($`NfI|uoWhYisuPoqi3LOfjC
z0KjXrH|~}Yf0~6QtV!Ay5Bb8DgMoOMU(5O+m4i97lp1}pK3y9s5=#O0DieCgWi2kD
z2!@`v%F4kDLeXa<Z-G{t?U*gZ4Xq?(Br69_l&`IKv+=9W(vHIM3yGZ{pS>DWYU|}0
zE}=FH5dZD7J87m+Rx~02S;2kT+l`>kP3<ZypU9&de!+@X8lyj>5ZG7Ff8}5a`H983
z!SBHIzs3rN5EpO0Q}gul`kf&|wK)0PFSk13i7eaw^jh<F1rUrr;rEvEKY1_9XW#6!
zA)B;S#QqZ&UnVN^S$%nfUD(me+kiA%#Ly3#`d1JtSBmK-a;f?}OEpHEJ=Cj407E#H
zy-jcPa1q;L?Jh`QRM=7i%(HqE4bR}4orpwd;Dk-M>(3Bb=Ufj3;5z{A6`wHprY3fR
zjafaavj*7c6%E{KZ^mrhpnNTbi~xcTa6aT9-s}}a8K#sY-qXAB$YK&ugtzK=bYQo<
zD1-yAviF8*>%LjQvD$dGUc}n_Y=5S<_P1BbQQ==LrVtkwrKOQfBBBiN4q>m3kh2y4
zLgwy=^@r_o;MX{XgjJGTr}$jt&%Ga>EhkO4ry!AEvVeHjY+bh|rj5vyk6t~OdT{w%
zHJr_*HCbrVhKrw){S;d!S>g3lu;-W8(T5sfG+vZ|nnsKK?EG4nAlNE2Z9bpPd-TQB
z%i?Pe+%5sY^r+I-^gU>5eJV1&5qMzu>ier#kDKVZ-v(CPT6ywXiQx+1i-HB$%9YnC
z7NMll8iP$SZ3x^s^ZVSjcFaASUd2*tLR(UmFuuQc0<`;ZaKL2Im2D6T@P0Th{Er7?
z;%LE`t_Z1!ql%}cqpVqdI`ncXrQ~{ye|)h!pL41M->gLO5)u)by+gNtp+^yBpU0wK
z5*Mh{dVKJs6<J3spTRbqUr!^MSJ617#Xt~!<*{EBNr-lWLtj}p6^T7xhn<+A&6=Cn
z@EbmdSj8=<2;JHm>wA=#i85zPOGDdiS*y6D=b>=@-j;$$(SGdc`ufgj^WGV01D{k0
zr|QvClmp3^m@J~3XxG3ph&$rkV^G>vN-?zm0d7b7fjVWxV_ni*(#$Bs#@zF=$AU|e
zLJFMk6D8IGgxkm1ObBONM+$Kt6}<i$B|r>@Yw7m~clc;o{VfHi^Z*W`h3i<&z68~Z
z7x`Z9SGD9Et9x+4pI7O_)F8a0!n+N;gwrxqCaE46-{dGtg9bzN)evq_`j07ORtZm8
zOXF~%?g%{gnVBYi9p;Ghhc1zh)!iF%*d4y){c}aK_ZrE>R*hU-&Xdg&o>`DSn7-qc
zNYU^(^8JyTXbRs2>=l!(*a@mAt1%T=)0&HFOyw5<zic2MQIV)Yzi<G8tSs}43_|-b
zV!swTv;}_LuVaB%2MiT8U7Cd$%Mqsl+?M*;J8c$JIROTr0(#gst&Gx;1(aSva5SBY
zq6Nfr4Gy*x{6|He1mF#oSN16^ebKpL<!p@p!4xKfO!Bbk?Gl4lw@uW(D`*e>Ky=uW
z5!Q1&vu)Y(FVFWrqE_<dYac@DYW{|2PsmQ*@n(l(b=cis+2SnQa~3q(<L!*R-YlRh
zbAmF02;j?>GzyI@CLodQ@lxT`4DJ?<5=z*<+e>hpyZ_;H3;i!8PFhzS5&66|YT>Ix
zqQdJGwGYOn<STTF^v+F6_DxjpP4bns3*%allM_U<rIBMHXxw%GUMjRtm1e&a91kO}
zHy6+Z$~2g>C0I4P*t`Dc?~`__U&45&ojhlfY+VlRSZo5hAmhFpn)x*sm-;MN@WM%d
z-6kT1RZ5jGcgkGi1;yZ%`&VEccj8^qcwTM6&vBDvc3ddI0zUz_7_!5FG`zqRl1<GW
z2B+~Sygt$oEVz3J`z9QMmfn1HCrAs~Ww<Lo4oU^#OIz*|7Bge1y<NEze><9hRPI3;
zC%EN^h(wr$PDLqRSXt70P~Lm|IbgWnl9J$2<p!c#E-kebnEe*|$GtNSTjL6V<OOGt
zEg^uWX=BUSB><aSSGJ8niAFoz0-=;sZL@_Rqxb;Q4$Ca9og?nf@7aZX-iLMCqk93u
zZSMc$u&B<cjwSE0U-nJo^h?yds<eoJnKiyV>T1d3o5>wYIM4YLmZEX-;OT&<erauI
z%6=UDTFT%=i-Y;8S#13qex~9)v}g;U8ka}JEd*9vUum6W)9$|!_TA#FtotEETgL4o
z;wUK@`L&=s5!TU7U_z``wqco{)qC7tWM*g^y?78)&su!v30$(d<Tq)K4cI=6N}~06
zuiYnVS)w(SH`Zj~M%P|+^#(;>u54R>`HuALdDd(v{^=VhNDlT*?>q_~xLF**JBIun
z>pGV3X2i6I{SrMdw!Vk$^-1do-c0qmOMmkf@G5iKo>Ha7fl+8b`0e9KeGO3H{fub}
z;}oElOR70>?t$WJH|7O0DZS@t`Kk~7xTMdI<Rcwlwk%r6s;%OZEgo@&$`}AXk$r_|
zCYabweaYP$eg@f{VJW0zp#-}Y?+rk4h&l}>93o{E(237MV1nxTVwb*BF?NrG;!YUS
z2lgW1#UA(=PNSyN=wLiNDnr;<+Nbx(oQmvGq_`OJTF|`A?j#^A-@~Oa`2)jH3cpGf
zA3n!7tsN&qSyvt!r$vqVgBn}IT=Z+5A>vXgW&Os>@xcepiTZaMHE%=<^K?-nLcepj
zwKdv>>AMB3Kmq5A`n$0kZXBrr6`G!+%jMyI6NLbB^PRTD1B5$8+mh^TWm}nNApu1s
zxC-$inudl4p7>3IaFJWsHBCV0sg5kjf=a*zM7WP2JWzHZnw(-4nL|~w!i*H$IhL3X
zHR^(kmmpa@zX`Op%ma0LEp`KQZ?MvrCpL<Q7l00A{|ag-+FjN<!G<9<uXnD;CCGJ6
zHS10c2g3*=-Oy(3y9X_5xVf>%<PEI?X)3P||D=~U>)UtE&&wg={X|Q!j`ow<f`OEJ
zXF)*Tor)ZwrLAJa1W4ebl6#6{PeOQHn>lf9M3=h<IYSfm1Z!)KR;+XV0ELoDDTP$f
zaLun&k5BCugba_3d{J!_08c|ww=J>CWKxXJYZ>;!-G5bNUj{c{%KD=YHX%P+QA#l~
zm#$nW1zHmAK1Ok=-ThXO?}Qg>Fbrq?_=v*m3$MLKB@mf6&kmhQgVPf9>G|cRBp82J
zo4SQNnN~RfXl@gG1xYx4=njP+znUHpUQmmQOqy|bu9Sou#y6?X<WlvDV#q(vsocQV
zRTriDjgE<v|JM|1c+8{w<%%|F+wSozRiaBVt$H0qR!HQ0pLHLB7FC*_6bb7l&pHsd
zt!;hak}f<NTyf|*?zF})<9X<CEHBzh@4K9DzkGTx&Q2+uFm6GF8S`CiBkc+H!7u2x
zrDeCukPap+7$|q~4Re=eD#_Vxt0kciosEi5v@#sxJuOR+UKvy=I!bMp>&x3476UG&
znW=K7{6%dG2@vwKRXK$^y}lYG+jv+vQEL?S@Y^qGbQ`C=dzC5?8N;}91T-A@y=SPn
zL1jmwK#q}LVsc6P6GS$#`Ig_|oMOoz_MEs$sGPm=G*|~=Wvj6wOczHVyBAO2Vy7>{
z-%hmavuRCeS>)e&bFD<I4s6G)b!B!NFx)7@QY%#o;f0!RH%spdG=iBx4qC+k<@kXo
zNhs^FKnsDB`_5>{%VLv=<vyd476reD!x!)ii`Fvtx8wV!JQtPHtAMPJmWOv+z`_xP
ztvk8jAB_es5^Fq~Jg9<tx-RVo$^xw=Km%J8;2`{cB-?Ch_JTEZ8>RXhk-|kp5$W{N
zP2?se(Oja_#JDja=n|NIA%1ht8z((f>&VD@H`I1v?~2b8t(DLrvUgQGIJ^1y&UtbB
z1v1u1nDO<;|2%I1aZDi<DHDqVMnIdNH^nqj2r6xAyetkSI1TmDO_Rm<8A8c@<8=>f
z*c)J_E8S>=yowMFC{CsHCj1}oa1z4XE`K40E?UqQPLkXCg8OA`p!@VX7C^KEI|cZw
zYWMKc!Fv*8zYz<~T~>s2&K{+@L8x6))k_IUBgC@e6IUt+h}Wi=$qe3Ig2r#iP*b=D
zEYMpBQX#d@c!68My1l0oc}IkD!B?{I^9ikA05{&i*T`02RrO%ke8}>Txz<I#PvE`}
z%@8;|v>q&89Euw^IOoF{&jv&$*hA&C6aHv<KW4A{JhAjYZr~73M>dnPakwxS8=2#`
zuX48e_7poNdis6me;jWK?G9P*I6!JRz1U%N_LZXCq)ER1bx`t<+3Ryf0lIs;z!|68
zG02g-^#<GB(1XMe`M6XzsgfB>91_9@Dzv|4^U!l?orTO(4?TqD?)-cFDydd011tz4
zyiYKC``(MtCM;<?fP1g$X3;3ftRSI8Bddg1()|;avR40`=>1myr@De0YkDu@z7CJ%
zCU4_l?`U1)+S?36W41)<+EG(Ayh8!KO(-It>sI?O#_04Es)Z(eM`eQ-pux<no{+k0
z6xHRxbNsnzsG-yXv7wgb!4+!vkZXPUhLj|c{ZyE5x+*Zvg$`vp;<>`Ek%#)<Hyqr;
zXG|a)ALj{ly64N8$UTY<CLEtwQX^x+El&fpSkX2B#f?dmw*I%r%l;2qhxr_hBvedI
z!J0uJ2ooR-M5*Elfq~C1IX&NBY4^1|lT=E{olBl+TDB+uE}tX)2EQbRsq>Uf0zf{b
z-wjG{Oeo_XZ-P!Gh1)r*2|Jf7$na+G$4D>YEsC1HMb{&bHff->QaL7r+2j1E#a1x_
zKdnbQwkX2!6CIq3wJGE@GctqD;Pl)e<vA|d_2g9?117glzZUet06-7itq{Tn(sG&G
zF#%3sSTpe--KQF>u^_O&y~ZIE@xr}ld5EtQs34C_-wlD5HM1I!a%FPvTF4h~W9MGj
z*P6XIkkXs%8cA)+?TKNZPq33iYVna&C>xorTkVtw9=Diw0WH@`TEen@hDV@5UatJ$
z_2ownA+@?HcS4*x5A{v+L2pw$lzHQo-w1X9ia;@2iPO|iuEC_r1Bvys{h7Z&KGoe+
z?J!NIld1s#gw>bt&Q}0^EIWICy;B~#hqcfY2rT(#lKdZ_y67IL!OjrJ)i!`%J%dj8
zqUVQaGpFCeWo`pnZ0xGm3GUB@Rn;mr7J#`xZz&WG%%Q2^y$U3$8G1cQRcCR%sDTWQ
zVFr=FGG(8}=~PtZ@!oOts2=3xr08S$&Dj*2xs;H+{O)^^PZ|EjVPjTTk~xFE5#*;M
zv(Dys-keXAYc`XV4;7_}A(y#Y$ywA*QoM3jiF__8Yh3X+voB{kWpRI&9<?ZM0T>xT
z30r_@7I{~Y^<Chj7oc}Hjbw0wV`CHlu`$%#96gk|A4-|}&Qd#E$7UbG`z9FQdkQ>p
zUWy~e(1u*n)iM{CFSN{tAbyKu4DN_U8K7<QgLC2P%sO#}`2^Qcb}!WbWtk{k#fU2p
z@ky5v+(nL7G8%s_bO|Mrz-945hEM=xzBpq6IAd14Glm}P6amaFFIR0?c^b{p1DjYs
zDEk^5wi6ARAN&jxlnr6tWvbY=Y=evCQOqNRVOq5JB=&C}%HJ>)y*}e`$iAX4XnP(G
z=YE^Z7>==bJ$a!_bSUFqvuuw*LZaC=0Ab8o=1x+RW-sW1U9VYTRu5jo9fEWBz-E-D
zcsHJP?;o7%g4a$4<-IK10@{-25TZMD@Zc{*;PR+`S}}`-<*7uMxy3B^A;D)>+h^d@
zqz2p?(t4`41@l2Lrj*<B-03zq`ZG~0MCkRWo(0m>i9++IVK(;+mAw7nwwFX%PJ_Rn
zrwLiSO^dWx-Re|f>sB8>Nv?0RrKzXO`k&r8Hre5-!J2fON>{vAo7;B`K;{`eYN^oa
zU>bV#1Z(MeJpaW(;0MwsJdQ7S0hl+PmMYQQPry;Mds4rp<1FLwRuvRQPg1<M9Z>b;
z&(qbE2;lryuYu>g)dt}Ok3_{<9Bsl{hv<+I8!F7e`w(WmOwR|CYPM69cA^{e_Mk5R
zfEj-4)cpMnwgESoEW7Hxw$Pl&I*$&x6Syp#cQ(kx))}~CLtzOSW&M3*%^l>1dgT3=
zC+7`P`~v2wc<noPcS*EjBF*3)Bu-<uwPGyLmSPl>bK=G4L|c**vZ{0R0=Lv4_$HMc
zzFCtx+8eLb$EB^PkEOk00(ZnP7n5{^?ryiX^;dWBKeB`#O{Tz}!RGI6Qh@QpVAK=>
z&li3c7Sb2y*J^WO9?!2eA?@lHq{9&bnx<6YQMvfVTwgriEK!XY_v9-He1f{o`n|{b
zoD!4uSLUWWQ&ZT{DfCw^Fxhj1E81VagH`pM&)PX3=9Bu?tBp{!{RYh1<Zo93SMCSY
z$#6VEf;4Jq4<OXeU1I^CU1G_52+AMdWwP9JF(ThTKK0M6)}IGOYd(N6rcDLY=g*th
z0C`My>p|&v^Oz?q>klkkQMqq~8+{r1<_)B}C9+d^&e<RmmjRTC&(Jxtu$}F)2mK*w
zI{FTdJqJ4!D$Z$NgUIW6$YGw4DCNyt${~g^KBa1~=Fn}^?#@OjrnwhdHvzW{LI%`i
zWL~`*J?#h`Tis%NEOsm(Tq?)htUF;zyH23F@u~>!nSDSKiH4Cqm!RJ6LqYyKB-d>s
z+%&&wSGwk}52YitEr#cf-VW7{W&Ih0LKr@H;fwnq<Y(*lC!R=wUU0W8lKL~TZty*G
z7$;{@e$1EdYP=j)Avr%0S#6?Ox2dDFnxz?W!}qbs%fTK-rI5_ozK5(!Q9&mC$)bz+
z*vWI5Ys*D8n?(psx;SwStK4!1=cT+sW2F~bKA?A|J1-}0yMR|iLCqJL3`pRJ6>lH9
zlBe-u*C^UI+Cr7qm(IRk8Q!PN`pJyJmhV{CYio&DS*|x>I5;2`{2|3Xl#-sLYqS-E
zQ7MXS)Tk$XGg*~_iJCPktQ8R&zh*1<rx{yb(q8W7f54;;rAiFq9<%-PIQABBX=e>(
z0w|>B{{7NlFwL6zcf5=3D7oGia+gA7=m-1I@gD{vF41`>DNoSJEyTca?Rn8RR}$t>
z?Ma)ejSD>f0?YIsNc}(QIOkTrS;*1VR%J>3>`?<J&jtTqXyi51c^nVHhXl}rvY_Jd
zm(Qg4F5qi3^h_*CrCo>U>V`z#ED6vPWTAk6C|315So9o65FhT4iEENa4P`12#YDaU
zm1EkzFAbT@`?{rX^(IJC!p8K?{EXfxRCJxu2X9jXdTsd`y4!`?rH&Iy@k~wkO}>fu
z)vS~V3%7^2@c6U0?O?E>*zK4DRa&ZiT`=<ny3`+ukRS$(E_dr*)%Ut;pdl^RgQ|WC
zySpV%%lYp>4Pfc);Eym_{>>=Hwe%ep|N77vaS`v3R;&(ci@N@!mzMJF=fR6O3sU~H
zJb@hFv@rXep5rZg^+U_onaDgQw@@H<u?fBZOxpp-y^qDW{^t{aF~=O<1UNJp9tM#w
z`Ltz;G8f3RF7zeeqa4b(7|U_wJ?Fe`+k^Ea&-c~nPt<0_o#sin(jZommG8Cf8oKE>
zK4vB;J3H|@mHGpy9n6D#aV5BYgN8C&jWx4w!IpZyi&+RQXeLU7h))Kvt70^==8HhN
zkvAQ38E)XW&*>5UADD|B1lfVGL8(!UsLb;1aP>T*rFrFJx6i>MEJS)HVg5|mq^CQ_
z2+i6{4pKbf-<{Gj*FI^zyqMJ#ETno37{Zozb;{SLjDK=LhWfuUT!Gy29NscBVl3z;
zNz`ql7QXtoghtuXk&XI?$Wy-)O0Ja^x#TLvL{9dPMGpp%MQQw_yAbItHTjjO3ZvcV
zmjWT^n@_7zX($iSuy(G(n7tF1%ab;mLT_02!Z}ld8esipkg?4b0=tc)rnh;`zO7|8
zbXmo?oyE!eMVvRErXS!W-dZ(qDysp22<(3e7<#qh(G9#3iyqS!f+D$r?-U%{>_1M|
z63+H*{KmIXvk8N<O6%6YJQbyUA4xgPR{dkMOrFiA^=No^VwlQLG5lmL@ZaS8?k25S
zqlKOrv-gn2k8*G+IrUE623L}`@U#b@vClEh%*DuNOpGl-;j-5c4@ojT28Umb&mvW-
z7$htK;?u%>CnZlZBE3Xi;!>v7<+s(9AB4(!V7OItl8>?qE)KWKhDf=dI>HiA%V(L^
z6B+zaq$~B>egNE+Q5%dpe$X2q_Y>ae9UgT!I5T)yb8by#KKFvshns}<o9+Eb=BW_(
zdOo5tDdhzz2^W>o580x&%bBv>@+#U#mEg0J70Slw$)}>g5IP2}c1I~0vMf_2I#Z~}
zp!Wg#(Jh<r5$;<y!IU#LitGFBQ33grxWZOTu7Kgu?Ak+&xv_kgOg3W%NPsS$CKkIx
z6WhIO2UWg<XnI#DSy3cnug2F`{IEG;&kYK5#-Ed_uEkns5<BI~lVG90LPa+a22XM?
zijEaoYXA5o1=CSV6@Zd6Akfw5z>rEHRjkBF7FW<I3bi1@BW>49V7N`Bf&zPgpW4>7
zQ#g|ARIA-hv12=X_Nje|_P$tl>3e6Unqfir2cf=D?VqY+Ig%x~k7-AeS;CnwvvdSE
z9qfC5ky*}u*zK(60OU*&=FkJw6}>+FWvMGBCF-=&&TcsvoObOlKU5n|6!H~O-~xF6
z{d^f(6jw}fQ`FC&`Acz*z=w-SsO-y2EUKY12>w=e*mD<_E<F^zx(7CFvj@NO)L^{Z
zC{eyXSen~}uJmEw8rI1N7|60lv#x7~#;h`T39XBE%-~+wM`nPd{(g-L&#+@6+f`=I
zouhna`f4DSWlt(w_UucnpIcy1{nAO5R)ktU6Osw-cp>yYv`ai`G=(H{$l*=OUBt)<
z9Woj<-2#g95&rD3j+el8Rffej<aM?8%tg{vrS`0v6%W7k4_+}>uDwHOV4o-{rODNC
zl+R@|7Y?ZGoMhD{qn;^mY8*U$Q(n|KOsg?hgJZ5Xu-#q0eKb^~G#k#f)y}Q%-!l`#
zf4J7-CXOsw^sVfHYN_1xt?ZkuxhLbZ{Kvoeum52v|1V|wU;m2nzj=56{Y1X~T<h!)
ze((SFU;G~#==a~B;(tHje?O7$KmY%0B;)tL-}it1?>G4UN&NRe|L^z)o!;|*6B{4`
zEts?-Sep_~+4xOBO9IGj3%d{nSW-wA;q|15%*1Zj)tJCidUuFI2Z_ue*)fDRl>(8W
zjksh39e@$Sw(OiVMU0@gUqhoNMV#$^0Yq;P=yN49lC0712kuw`5@tHOB3EQ{sveR<
zb0LgS(3AMX)}ha|K_?lw3AU%rmL9dFkD_qgyz>-{@n;Ul*8;Jdv~4$aZV?j7c`42$
zP((NIo-)^NbU`%Y;M9#SBn<!~&ln0Flko>917>$+FyxNvsXjGl>tY@6P%JkQ!vuGA
z+`HaqGQPP#2TDfD?6kZ+ej%gZpns;{!CCD?3pta<+9?ysmNG4@0wTW@dI1W|s+TN~
z|8wES$1j)jvbe&M>*HwC0}LJ1BqxApuPw0q_9C%sMP)6Zd-vdld*lC%OD2-NFW{Z#
z`N&mQtdCFXIDxiF9ZV_Kl<5mLV=-M{>|7?t6!1#cf~jCwPm|%yDI!F455u1cH*VUl
z$52U$lhv?!NZABbbymUx3jQWRiYq$JVl-MY%-M1Vj)$|+ESHi%3*>`eUv~0S)=%}w
zD3FgK!(Sy=C?^Zp!tZ2lzA?rf$w}7HcLL|wdZ792Itn!m=q=z#?{?I_PMeLO`@T?6
zr1vS$<USh2^Gsd6a)i)deF!_+`Wx~*YTQr_d5)fz#w&WMm&QPI9_>ku@!Th6G(ci$
z^YUNNyFLZK94`dFSOV<^&mQtbUYyz7`Z66s7WoJVc(@o;(@&1gH<mNk+vW0>>^AMu
z48vy}iOc(0n!*P3MRoNgS6)mUE(H3lo!j3k9IkDC1I?)N+mmx`D4|5-5KB+`elrmK
zQ<MoMu$;r*S3n2~Ii0eu{n@cRHuYO95L@g=Uo-vnd9%x1YT$t1#*U9T7`0LU8!5?y
zXwW4nI_-@g<Zc0~3%T<-56dVwjPEEAC$)xHG~xkJ;Y17<P!2>ikYS@2Eae9j?L#?h
zGCq`a;SgBNGS#`9<N*%AhoEYEL90c7Y|Bz6?;!a~i8v$Lnk^5$`y?T_pCGhqofg4)
z?A{61vF;2zFUkHo=c0iZ#x1QDw!~$Oy23@iVmPE^C*loAkk%&rMbWg%E$57B$yV7!
zWqxV@i;0cP#ii#ZR?%7pWh9Sf`z<|P+nmEKw>8$$$=foKVG=#`yQ4;L(>PeyPl>|;
zNVM^>Kof7~V=)Cu7B<lkahZKwo7q`Fv6HYmia}Q40ef+}UYnle!gh6@{-AE%hqwQ>
zoi(>YUwsz~|6?Pn>Fd3pL;~Zxq{#GCLU~aHA3%5Wm??J;L0?&Ox40*9Wsl|U`tt6H
z*<TL~j?BiBvU(yKEc^@$t=|&6MO!-frhY~`;ZHUYPw>1rC?xz@v=3dKVq%X@J|^3^
zw-r;_Dd=^Vs!^<gRFaTXSY&5n@(O?7nD$&BIHQbSkRzO*56BQRiswJ;JwKFry|>9g
z^9q?;i@(rN1k7e8l=^38?ztsN>polDlg;-+(<rOA_(5gT&_~Ef%C%1!kCFnALN&Qy
zbm1_p!#}ce$4y<S^6j_oCE7$=Z~I(Q<?{|Kd@iMAzAO%@yVS?e?_u2oMaP4VUd{2r
zO4ubF&Z$>@iyUV-E~3|T{A$7N!=VX!!;?o!Rvn+Bc=Yz|Kj+<=WV!8)L4<7AwSVrG
zie7v4w(y^~g|b~;+g)$|e15j1&haVtdo*wMH4leyW_8ANwR^?54`~h6J<qeOd9l=G
zOZo8E`#~y<YpB6=Gq_2PM2H;3C_f1RZcTr)gZ@DZj1>*01Mh#_gd;Sz1kMNcBo3zn
zxSbH$e~j7+Km*#~shpvJ!9&09O5@JXIfpdNh{Bugy-{~np;5oOprH-aq76JCGDH2B
ztMBftuKb-5H^i3cTs!)72}dHT(08{Zo$54zag-9k%xl&4aN)p7x*Plj-6#}FJCpQ`
zVIM>oJ9D|g9tpm?FM|GXAIrQ(-!<*L1<)W7Z^Amcj{k*D{aLb;v)!*SDuh-q0izjT
z5!E_OY%_%`37>1gy%+y=hZu@<E!!jayV{YVbsv}8TLZr#<GKsYVDeAny;qaHzLO*z
zj*C%0pF)tMC%l1Vm85UW9$l6L)XT2hjPqnS|4K7pUADk{gQ4K9ZSTB-YY(a*gSs=x
zTq2r?$4OD0Jr4l6EoluD`j;>c|6#0o*8rG$k+1BDFJ=uSt|rG!Sodu}(wU$k?LAyn
zPe@<0gI~6y<89smxhnDoG2Y4ynonT(ZWx`S33KYqHVLQw7=@{Hn^qqVX{gp9dB-hq
z%K=Jlpk~DBT6luz`ktyJfgl;4-`MNJsynxy{|<~Xc8XGv4YA7^V52CUP@J6Tc;&em
z_Q}#2h-+{9b9p|e5#$*J3MxIFO<7h{_WP_pLXcSk&UF^)mPx*uYaQGA3Sl5*EI5e^
zIsEn6ku3;A$xcQzPTnqF^MRXymasWa8^<Pik+=9Qf&%38q=<oduHsN0Ii0izbrwv2
z&bhll$82$qg3-u`JkJ3BPC=5TWCdGs<9af3iI*a$B8nMEZ4AKzl%>N<5XYfTWw++x
zsQE?C+snsbi*>AH&#K+5+1FmPP=L$3gguhC;#$uZO@%k2p-Df-CMCN%k`~?(Yf1ZU
z(~Onh!jl@wTrU?6-MoW`UCI&E#9mXovuhmHt!SEeL{`&F!R5~luRU>W+>dHyrhl<@
zGGnLSw?9tld{1z@Y0}4l#)(SRnR>l;dC09YSFBX;S&f96Y-W<^05xiq+AJ_mmUkz?
zN6&%85QthiYrQQ2qzxWYIl7hMCN3^$+!S$9twFR^mV27?z79Ydyb5?bsWg<g$7y^p
zcKj5P=0;B67G)fE{5M-VPMDw?f_QUgT>+qDca!pXokBzQaLn$biwkF}ZO~^pIf*K6
z9g3u&RC%<0X%8n?jnL)57j>J0#5cmoM722{n7rnUPRK|5W`*n_&bJBFH7_&fP%!5q
zu}~ir@aU4SX9z_T-t)eQY|y<<tfm-PyX<ZfN%!e|(a3!APdxunGyIk=2>Vr}5bPML
ziN=j?dFOBlm#viUezl;lO!W5_=deAT%hm7gwRgRcK0J?^M}#WB(p;IGF9Sr3r`@Tl
zOq!J6Vlk6(eObr4xcPO#oCrO^)yB5<cyAO4PB$-Fup${Gul+OPN?jo#u|IN#b9Se5
zAPXX$?%kTSE~vv+M{qB0@&2@!^!0x}7dn_l`I@+!KDadGvEuAvzL;%Kc|k@K_VL&?
z3@tB?#E}S7O{MxC{CSitf5(}%SjXI0HP$o?=YOt1;D+r|MZ+(;srMrLw!>vP#B@hr
z_%ICM(fMPeCVHkctMqpDx4YZb-(e4$7&@Cag^o90qV-A_BgQ?y6B>i8rq~!wulk~B
zppTjO<RxIZpS|X-9z$)@%5k#n`sT4>XelOXI>xH{*x%9I^EXSkd=bn2A1eLCa4?VP
z=!?tey^ALR&KCDD#buO0BPju8z*UbzuH78w!VTrq4_iATHI7oR%(6qjsG>R=6pJMT
zGQLj*<@u*CR%b;E6Z=obE`P^qcO_q;Sr1~p^P2Z~-krLTx2v<*F(@)}Vp6gqaw68%
zUCWUdJm`2Znsh*YFSoq&ae;M@7i)T2npuAF1$%+PK?|~HV&m$Y+zFCi)&0(-EI{?t
zq(v)f?UfS+WPfW3iE#pk+@;X<3Pg8S>^k&HMw;3+=pT!G-$Px+t5o2T)zI-q@qlW4
zmFdP>Ix)DURh+abV0d+B-Jsv+WsrA(f%}Ukj-IX!J&*TUpA$FH@N=bSH@69!@4TF5
z<dTvkkc&T0Zx*cjCJ<6DlS2ogGX9rY`j)M~HNgXNzV?vU1W6`I&S}l>!@Elabhn=i
zoH|ukaxRH{#0{J_UcQ9uV#}qDH$Y@N-jPZ0^<WcnIN7g#zZK@Vq#trWt=hkszHZYB
zJBm#|bqCvx>yMw%s|F%YE5x(xr%G$hW+ue~9d{hf6PmLZDDJX{qL*1ot#KTqG8d37
zY3&b)-$H>3rgcvgC{HK0<I6!u8IJTj=&eGADf=^mRQjFFw!;&CdW$}`!nq=}&-1Zj
z>1x}=-$JQRX*k4%CruPzfS=H+gWb1bhY?VU&|RtEKXFCJq5@9}L&|MJf$Ls{ayGNz
z>b~c!kVnw+C2*4J|3P<UWqT|}sA?i(nL)?8ok(%4;qnxaeO|S2YrTjweAp;@Az3sl
zWLeBz$(eut5~^Wv0DNH+ws&$o_u9R5SE#L)mQ4z=`P*(HLoRCQchQZb??!Ab6SW>{
z<Ap6Ex5G>!<%==L$j<p5%x|Fisu&@QQ0=v!Wf4{JiFgt8@LRicNwD_5@qB*irMt?=
zmAZeh@_X2ooc|AYC`Ft9=NWFj>pzuU8F!YC8H*Z|lRB<f3jw(@?)E0!31?84i(cP=
zKB#QsZzLgGuvOyRGobjh$hS@>lM+7$aI4u+5FzLThjO)gcnMDP^9^QFI+#H0gRqH5
z$uBUeyZ|q#L$GEgkM&S?J}LB1s5X-)=)!KK_@`j6Z&E;oTPdx?r8hYs>nh|~%7-$V
zRj|ygiIN&yX*F|$;w6NdDwI?=t=Dv79Bwrjo#Ows;o|44C5MDt=|W`ZlF;y&=(Xgy
zVpO-~PInv89ZB5~kiRvXYUA@yFxM(Q(`0C6Vjf%EYg-=e_joxZT+~>&mtqzcr#<iq
z)(6`g&w{W?-S(7n{5n>2lQ&W=;_eF8fCI_OFW<l=e>8SQ;?Mz<7r~hCqM?+3SFWTi
znB82X_-ed)?2F4vNt3)a!e;ZRTc;s$%ih~i-Iq}O6<%SNtell91&B;@rBLqQ*NOd3
zns#g-PipX9MPUmU5LvY+;Q|`e45Oady?3XQZ&b9j+P7wGrVUQMv&o+q@^mK5!^mAG
zUWBh8;E!mdcPl*b-2_vXOv=h3D<T1lZuud?xuO409*@nwIFyM9`sB|j`{}O-z#lz{
z3kjh-1X_2MR1G1e`7!ALqw$H1W>lYYZt!5VUs?mXNy(<r<*Eh>GQe%tA%sw$p}<|w
z5j17N=pS;d+=;iO_vHB}$WG>xk!fcdVtrLw!9a<YB9cIek`zS?zH46DYkz1V*k$PV
ze)g{tOKd&Pk+yZrH+q0~pBG#dmM*|9BFu-^kQi-n{9OGPF4JJ*o;=k*_yNx`I>kD6
zfvlpQBRJTOUo=P<{TGaIdlKsKS6>2Z=FjpMq%XF8y#Za?TfEsp)X43yWN7WeTXB#r
z;dGM{;HfcE8^a-7mxP5rhS;r=n%Jwr(2}Ii2T5R;{JcTi3Iw^J%m~KZE_AQG5fKXk
z>@)r#2{fxl(+B~<4XWljf=lTn2%hOXtiORPhWbDFM#G#5lG#)FFXs**MVRMzx>b&2
z9>qK{S*8Yk!=LzqEdy<(FVHtFSLRD0qiJ`x=p&j~1Yfm_NeYR%J$J)w^9fj$lH(X9
zczW(e_k4y}qm(-|q>{>Bp^I)|TiU|=C=yHI6MT>37@01oWQne)_}-?6%hbN7O@Lhk
zKtSr@@MD-`>Bura-lrWw0d*^-S$|Rbb(YX01lWg`o27};uu>tu6<TszqT6hw_x&<L
zEgwV<`8$Wdu``DqpWJx<y&fHAO*%fJF4df}VsoIc`~H1Z98*{)$=0!qmQ;$CVz-4T
zF_#wmo~&8(!o_jVCupN6T#6{JQ*^R#yAX(mwOX{<kD4}!U4${18^~U-(l)!ti}giK
z3ip?|E`$f>LosH&%=J>47i)vWE{dn_TdzM{li7jW6y|o#Rs>0zqPNECoVt^EyB6P$
z?eIXvY-^Ap#6u8GZaFuaSpSB!N(I)<={&oy-gP)%r;Cl_4T^`SPcTxAd0Y2tdH$qy
zvZa|EgYx%!iM=X%|D7Z427WTUhknI34H*vn7_aqFNZd=2N@nrIAWOT~CB<g~Bl7f6
z=4Tjl5V2a=6O4^!55+ryC>mW2<88TtLSBHmYqy{}C`^(Nx|LGGk5n@H>E&t$gBW|c
z%1~?Ebg0++_M$Py{|&p`B=OslsJP!Ej|t5_E80sr0lCjCK-W?ps-55*QAeB&@{|;l
zT#p%P@MbodqXw9S81CU5DWNT!5S`fW_e1Trp(toN^^``x^9*Jr4H~jlU0zkSPM1Eu
z19_ThJ$>z;UP6D1cHH1TuGm=dqDIld#I5}16sMDYRi6qC(3~BVI!8+rmhb#va)a~~
zo@rH`d6L!MUXqg1vI#0m2lT6lH>^tPFIA`4Qx>YtC(j80afMi_UO8f7B1`9YM%5Cw
zL~ZagmyXgr-Pok&U5_1XTQdA+8V^r2^ps|-;Jdsf6t{uB{y&$cIp6+69OCzYal6Qw
z6aN&Mnbzk-2OuSo8@NC*I#M^5IaujDIQFZC>6g)OU5u7{o1XT!r)$1i>%s1$+B<(?
zom}l0_Yr9WwaOX<E+bYm+~1A6g<nWV{|f}Xb!5l?ee=u)o`8?CY|kJH`ab%HS+M+^
zX{Am(fRyAEDnaf<Bpni3gz8hdhejIVDYTVBc*mZyZXEI;Yz}G(5>fjrxyoBwXHNQ+
z%sVTRNbP*I3E1<ls(ji92w%ipPj4D<9YbCYBjvY0V0bb>p_$Itjm+wPuCjO>t+JG|
z|Nnv`f#UfZy6xNBSVIkAq9Ks-E*$FbmcXoV8qeqap<Kg-0EM73F9c$-g<S#pi{~26
zLH^nz!E~Pq?As)v!tUPdrv>agFgXiPjP^bMcQTZJ(;(_uKWh52C)mHEf}D7Y*yES_
zI=bDxbLjYSp)7bu*JVyuRTzaPfQQc?;S-h``q47xey(@=_OP#CI2;l?**|eGjwO!v
znXeR$bj76d+mvgLHhJ@P{OjeGg%I-E;LWHMRNl3b)pIRuqbg@7dRM+1gvm7YCp^Wf
zl>svKcYT1mSZYY)6z?Scx{9E6s*N4n^{(as@@NU7JF`6FjuUmJlgfvw)fzxr{mgL+
z0ExU!#v6edL%C=a7ST1Gl{Pi5I;nLp%xl5uX_R=&UU98w8**s;9X1;TgtP;_?#BKr
zpRQXrYWP?>m$$_I!IpRg5rq#&qEmiUy@FitTfT%{H5`3b)hKc}?;;A^nn}m!?b6@n
zyeqJZ%MEUUv;$v5%Zl+^0F+vSFs8~;-IR)0w&n7xU-{Ep+E}LhCFx?cq3QL`C$#;U
z?}ooY#)n(~-5Dn*Guuvyx)WSm8QW}62rZ_X%3ckd#u^G{Cj2(yko0s4)5?UI`o8p)
zXjWH};m?FUbv?zs_7}WD{ch<(-n8bUIj9JKd!tkQ>5KfI%3k|tqF`h{5b#QI+GVo7
z`hBu=(%vhGiApTVq+l$7k+q0DX4_FeA$(>(ZL`4DEkqL0y6frk)%$l1fAMJVtWn>k
z!8YkAjaWHqYKiyH<+C|kvWpaG;c14Wx2v=TnC<2a^T>T;iGTd0ZNJ_rmFuo<vb@*!
zQJilYqH;dR_*r0KSv-_0xlO;W_+lvZ2uJ#YTHQ^TSG(mrHa%-=Xqhrqcl(QPZ`wcO
zKeB4H0tBX9)Hj?Go(AhiCYsr{AOrZD$p9Ss{x&54gmm0Ta)~&B$HD`dWG|&=84l~T
z8Zo+h-eU}>?Plwk>jl@aRt4?b{dGG_lI;x$mugcpc>pbe)w=b1?Wh%7b8XvIjQDA7
zNY_(H;%9`v!!Y<rd@E3yc$hT>BbWOxY%wEaP_7zW(b<!7HJ8JjP8LucY(oyl`~nIw
z&fXhbqGYKL$V#^-$?NhT=$9w=&ecrzO^XsrQH8hpx$5murvmN;mC;|$I-rels_tbl
z=5>^|t{i<3%#nC>XiTvIRvWic%4vF@m!n}{5j}&9LR|wig&i#4a)w#E#d+8p<Wl5r
zxo?lJO6<Daj|hl3F<_{_^5;4RZ%TL-?IECfI2l6ssQb8ML)0j9KxEn<oK!v$i^b#<
zCSa8GF=k=KpvCHMeLxyQ_Uj|u=8upA@@!`n!xY7h>0=h*tZ2@YH#(W2O`s5i;fFq?
zo+6zVb5HEu^^oMu=w;$EUcD;ubuc82ssa;rOC3=if^iYF?uo4%qrL)az3GUCJ8-9j
zmjOwZCq)e7%Xd1Tdj&Aq<YTTSKg8yyT~A538QzNfArKwu5>G0cE>-#MIh)v-k16@M
zX_T&Pt0;t0`{hGG$BSMdTw}Oqc=f?@1)PY6;kT4sNnqh)IDemTXCV~e7RFAe-R~kI
zf1U8rulyEe3LF4&bJ|x2gbTmNRwR66zq->Y8Z%jc&FFx2$GS)XD7;w8U3hMWi}x~_
z1{o%#=-v>yjPtJ7#nP!6-5fJ@KIWLD_k(@7G3;*&y^rd60r0|3@(!m}Kh`y=@@aLX
zXpJ&Z=vmkbf+*%(L(Pcpk*3`QPg3X$<z8B!Nowo_B^HG1YMG-1v_4*4xfLYBrr0HJ
zr)2eD6=0V&ib*Onhb+D$auGT|VpZgnzE+qN$gpm|KEOY97aMcjed<Zco1O+x)?+LW
zvxa?nU(E-~GvRRySd&*ms?VlAsx;IGnl+ut)44pSz0Vfkf_F5gAm$!FsGy4h>L;9I
z{W*3$8O@;zjT&iF*I6cQJGpPB`hmT~{i?M}FPnGu(-%M&Gw{saf8SzYe3ABt15(Rv
zO5*pE7BW36`Zm!c2iYz%#k36$A~K*F-MUEcG~#DkTLMe){oD-=X$ewD!V5H$7I2s(
z(Aqx?=T3I(b?LvPnQ@lr9^ayY3cR$xQTmX9Y!3Gy4+3Uf-_sfyS)8Hy)<0>vhxne)
z1Dnu<dtJWWm&JGpJ4W`aZhrsbmBxs7KR<M~70dT-W97E}ksH!!Hx|%VslM!6tfY`2
zu9lJkf17^rWfPYBbM4sv@(j;)fui9)g$GDr-GAk`>q0>nHHsP$8?~sT=VvT+{`%dj
z;JfV~!D5Bd<j(0V(;fP>8|!`KVM?7^*`o>7CEqG7Y8ej3I(5O-QS5&l5dT860*i-7
zV!xm3a~3~Vy#)L+Wzfq|r%}P=G`MzIr;77vmS1xEqXT5KbZ8ZyA{Z8BG=81ae`AF?
z-)LAMP$b3uNJh6)IJ0Zq!$cj#+#f48Wa_<PaCB{aCTjccp@f1fF$ZOS!JF~inRu}G
z2dYO%p~x58hCocYhrR+#my6J}BSv_+ku<C6JOx5|=0i-|(3vLr61}hat6}@w2-D2k
z7Wie>1(DxE7cw*O%C_<PRa&z^=S?byupiPyj=mkE)nkW(C%!J4Ac^%;J08*vGORni
ze%N2{vac-6t-Y6hAD`FWY3yDrR2|vx4o2~OAPQAVeC$5T3B9wI2mvLcqr>fSPnyl%
z%fC~%)NB8NDGWngS1mYN8ocXzz?MK{TGI6}J*oOBVsv6Jtxq$U@|gAjl6`c))y)N9
z>ULKR{)3kOrcvAGnejJNYFtwi-Rr-735I)q49X`XX7L(&88iUSS!-8#5rlZKauC8`
zO0_Xv?44LhV-Zb>R8(_2^TF=M=jsZou>R3iyeCc(UIbMVoS5#a&J;w*@%qy@G$SjZ
z(Gv(l6L@9baQcTqvuAmc)v&V(@dgr2(9{&=BN%zRYIr;820&YwoqU8_N1R*}1@~5d
z7JZR;LX#t1h4P&sL?Dtf<}W{2KV)F@25t(<uq$Ge>pIHrN1-c$U@>xE(JsGTMZ3lg
zr~Y_mzmt{|htB>^8d;>HaqF7Z)Zw{l61w|5IfX`7-hMlTs+{(zhN?k62ul@?KBK4=
zqjpyLZGa~BM;34t6&Z#re*C^@od$aPE2u-Jd;rnXnzsA2WCACaWoG&Ss)7);df=-w
zDdv^VZG%@y{^1ZZfRP1lQo0|;n=`0_EkT-i=0>|cE@p>TSbkHgXyyKp&Beu^TlBU5
zMbcWOAbq4&(!TESZRm9#M=B?m^fGCWN|d*LxGZ*K`>Q>NI5W3=F~=f@xxnD+Sr$(}
z{3&_Qg_t%%5vb4hRA(O5pRiUCk*)0KnZOFv1g7Afw4{u*U>m)wwcIKvq9~spW=q=t
z9humgt9g@}WDKucxuX-7ZJ|7Wy1RBXcs9B;YMSu(+Ip}wH^)Y>G?SCr?e6iBdpLJ?
z5q*=KB<-!}Z%>3ZIX6Vx^d_A0LslnQjw_DNUeo|1qv+gqL6619DL9I*?`0yS02Z#`
z1sxxfW@!D+kw^_2${f0mbq=gb%`pqwT!~*-c68n6i~yYpv!!M2!23Mvs3*Ay)o)sh
zL@%r&X0T##;1|n30b^+Ga)NImfaqCl;i-<x*^dM%TE6o96NN9Fmae@+cJuUSKc4>K
z@gJ(u!>5h9c(9V8F3WvbyR7!N+y$_L+waDo%nVAJB<vM9Yim6B8ZBXaJQ_pkIr@bQ
zMBDHZELtBH1MU5EF^T1SEY3Zni0cI$|HQaJ5FZJ5hRK!hR?5o0M0QCsYnd0V<49M6
z*OVYZeO=lObcr5~<Fo+;&I)<Qe<}%aru7^OUEQD@h<RG`>{l&!iZTl?*zVEjXFl0v
z;@9s4sa-FyGhnV$Mx^MK7#M;*GM<#Rpo2I?6NaaHZ2@P@S!S0Xm0h|^&5RpS(ihTD
z{`_^LI(bPpFQR~+`CAt;s;(m>6APMPm&6IUAYubB*TG&gLi$Tq2uN@xweHx7Dkpvs
zkG#~MDz|M1h`ciGWePZHYp<@Tb@d|Y%>fkN1XHrlt6o}|e*E9EB>gX-^}EdcukZZn
z#-n_g)c$7Aqr9%b{$O!6CF~WfYwqOOd6mk5x*V%v=c4r*z>WRV84G6uBV(;2u~zcV
zy=ol$P_Y}xpkC%^nWTiNg#29;gOmG=7ulc`_-V9%ut+npRgDtkoWwdI9O0$MBA9na
zw=uE$b?i1Aj{y7$%1$rc(WI7uEjH^EC0E}7iS3I&0)w>^-0S3q^Jo|7Ho-ja%b}0x
zFvY`XrzceVDqPutg8^5%2LPK4WKYqqnY6Xw>3eLzrv&Pqk4&9K;Q}{RAXc%V*|kAb
z7}FDlF*kt$2qdtI5^kw6&Br|X3DJT(VwWea%_HZHwj-g3%0Rj)bU3GC1q?@&-I8TK
zgRyfA-xfw^x<Xcrn{K^ON{l0)ADQ$|p_(i|kRjB30F23wwnee{CW*lh$SOgboA-Kv
z)``ZycffT-p1`_Y&)i~ffA7xp=6uf=IGmM=sTp9a;Z#QfVI4scnTKFX_?6Z-UkRKE
zk8O+Trc(f_g~eRJlj-(7L)W}EJ@p(-0hFg$clf$tO%zn?x1J2ke6do-<_FR4SCm}0
zIEX;VL*0(pixC)DO^L?0a1AvPYmV|=^jejdj|;>@H1O<EZ+i1ZqnZ;>q!GuE&^nnd
z4B?x1-L#B95<L=owXk?76~dN02rV{?KxMbdEUY$AsZk1JKq1=>gt0zpB(@#iaZrrP
z_>=xi6HN$>lASh>?-;eRWK*{5p2@7u&F)1+D0yx`o(R09Rvrj}Gzto9uQjJ|qqT8G
zr6}X@TNrV^e(UI(Y@KPV?AN`9%pft9tUEp40NKoL*&>)7r~mYgLQ)L?9xZ(Si6n6X
z3wEXP8Vr2Y`dwRl=Y6}oM<jlTwa#rynsof}0;%I}osa-z^H0?kT>d#9k4Qf+qIGun
z0hP_=m6U<_#~-X``G{KyaO24=$j&NmP_73L-cXw2F5B9hmmgCrP0p7)CCW^`eTi#T
zICnN*Zt_7iDp;;b=@iSU&_!e#PZpNYI*Bbz-ECy@rqJs#*X5-a;_Zen=T}%XBa1Z9
z31)%|E=JC!7;4m7lSrYDw*V3mHsf})z5c2-L5AeFjPFvb%|R}RF7Jf|y^(mQXCDws
zGMe%h$l%Rhbjz8)WW)9-hE@-zPTB#6ma2QOR9!kzkuO{}^Zp;M=rT(osu5*c4_T;O
zI!1{NwsgA^wn#ZvYp-Ubzj4JtAe@%__p}+I{^yo)X_EouCz~(bRA|fn4iK@I{b-G(
zqV#^{&Fw8FTf>f{+gLaMBFep6>FFmA;v1XA6-rYEbp;*xr8m`lY;2X=q^#>qYqsFm
zS<1hs2ZV?md8gvvD=>38snp%U6C7$@<iOOuJcqN=8ThB$O)pUEHc<6E`HiY9sD3}T
zE6w@={=(+$l|2(pqIhQ?q*VC4^o8jHWvIL_aHJEGxWNLl*R+IhnASL>#|@yal<;TO
zdVA?;8^E#wbj6~*T~$jlKg>xhD(Z0ZC>0|sF2n}4^h3v{U+WhzZ;|cR7L*R(&0(r$
zNUo7@^qp`x86Yz~>nE&^QazN8Fd)&(D9VZ6Vaw1aO+>-*mK;$hOHA#P9ty_b>wH2>
zho~c(WEs1cY>mhp4XZ8j2zRvm_6ol)Ds$)iR!A6fR_;@240y2VP@3py>wD9#ma3zP
z3x4wl!z#AsSv}^OCWsaSX{#$?6113#Vhc{u90hoj>@yVpIH@wWHANUqSY_k_G+O~?
zOW$$TDYW4<R^i<zGFSZS(6W2%R@+(@SNQ2tXlLV<x<)?bhYQc!M^&BH8t#oEu4VbO
z1j&veWz?>4zT?YEpw$awCcOX#?S50Y{19u^rJ+W@@lmJUa5K6+D#k!));-8bsl}-k
z3(v~{Uy}FyQ5+wR!-C$qayh<YAb$3zmLs++JN7bR1hklfoJOsCqBNpZX?+`Rq)!yP
zV6=zR&_Oh(+DjacTX=J4nn*;fA4;ReDQ8G)LU~o9H+4%jnQi*pBXA@Dk8bE#XYM#^
z%4w7Eldnz4;oAbfUQwVz$75ScDz*=W@%1Nm%2wz6+#Y$9r+&pyme!|NKb<?znOfTt
zplh$#jj8CsT?sv-bwJOZ$<zq0%Z)<INtcoqA=ivb89>f*HQ}5UTO3utxvCid`2FaX
z;vO<@e!UES;j~*xM@c0v5aLX*bxipL*m8|@(#JEcvgw*k-+Tx&=)G42)EwFs(3*6^
zUb%g+8slnw_j0CAdg6i=)L_=BCmZT)blmBVklg7WMIJuU#ER6Nxso~dYJAww6|F}J
z*%_M#aNS-i2<rT^`3wH~i>RhsKYxY6MfPc;^Vajj6Xvx$Y`EO|rsZ5+c-{Gzw=avq
zONq?|k{zY7gf-WxGhgtMM9^WKWm=Kp%q{p0xp4WElZUb`s?CkH>?Em^H>-bY$T@;}
z!)hj>bzMqZEIq<Ojqfb^@jC)49LYp=$=ar+qZ)kvh6;uqx5_p9ku}<i0hf|x-eM6$
zSw^jnhplSc1(6$PwY6dKt7m@<LzvBcT90!J7^wTr8HmzD0_`jwyHe@~cq)JfmqW7c
z-up!TFfG4DJVjYY9{}2V<w~GO=MIf6<5cDve>-XH{bLiMA*UaQ7t~rn>NZO#bk^i$
z{)h<4dVPS@2+O)LH@)TU))F?I?UZKPaX7?|H0@&L7Zm5>waYifByJ0l@+Y*l=a$V*
zRFO!HkYzIE?2ukHzrn@1r|w3E4c?L~S;>n2RuY6t@%C;);vV01n_7}RVcOvoqa6QX
zDYILe%k9J)ceTd?reJ3hu`q+g(f(v&;8xlh$f%VnaEKW4%sipjsn>Z7d%YsC$t}-N
zvvvK-t%UXv7~|WUYCT;&i0)}`l&>9L)iAZ0ed3YON}RJ!L+{gb^*r7|8E{^03__v%
zIGfLr5yUtRW1}zF1Z^Ihkey_B#$<A<u4Dv&+46}>pC@WN{y*(qX<Uu@+i#dKnJ}gi
zkz{F<Lh3}D5}FoiooF`>+7y+fMr9)YmKH7KMEkBq8%|VzLmiCv6=6)2ijqp4w&#1D
zsna}<&-3be_k8~IVk{?h&VB#x-|xD<+f@rZ_pLKk$@_!V{JC|pf8qL{Ex(Dbb~lR4
zLf1jSupFTN^GV}>SWZ`HfE)vK4Dn|BP)g3iIkmUEdTwGDau!Y=N6ZCACu4#QQrOdZ
z2e+PMZMfJvVuhc3q=cSD|D`mu#NpxEGtg0M1KwDijdsz(l!K$X=)p%-Y;#giMazt>
zc2$8xz`0&qy(FIN1B2;qu>HYE*cn@(fm|dyYZHNWY<=NxBleK;KDMg!9Ljh0ZKj&&
zO1oZ<JcAKQDNdATD{Q+=lOYBM$1G3JPNKnJWT!2zQATo8i065+&`}%<l~Xo<Af~$a
zl*X_m>j~cIJem**1=oyM(DsN{JR_NRKx_Ips|Bjnfchd&$fmHLo7>VZ5l;EoKvgcP
z0uvg1%RNgd-kl+xke5XIwmrOcco$ZeJc7!n^(+&Q#U8(2)y`6=qbTywBFZg1cnkIS
zt>r`G66#}Zlfa-sg5?ygecy{{nR?@-@!()Ti1Dc!q%D9Fg##-5Kji?dQ=sWZN1#F#
zpDQMALV*Hdi^^C5D>@g()a(S)QYH2fMUJ<*rDJkt?>4lSdU+>{)G9?jnQnv8^)!Wy
zcn#xSU#(NaHL#=AjiCiJpBFG+{vGG9)3gm1w3r8VB^KeM{{$YU;1xG_BdIQZg9`zo
zx4Tl~pwwY+%>#Sdu00?VEfpVT$NSkksTAPYLFg%k{4OIkkPV1Vk&t8iWuE8@c>uwc
z^?QXE)T@#HM7zhHMj=rKnHP^Ehb%q8cu0pMEuI6MUCHvsYTM}ZNZVLV{#)XsTT!7_
zJfqHo2IeL}GyL~|tXtP#+m8QUpy2>=7~JZ!4wxB$kL>78;&{FbZOGHucWU=S47Q*g
zf3Kt1hO?TEhG2#V4Yx=!jJ0jg(XDz{|Lrxep6BFzc>^lEF-iW}2Q{2iH7&{0!f{l4
z7e}k5GV9^p%uM$en&SYe>)}=P+uWcw*t%2x^#w6jQj<RS(vEO2l978#16lDY14->n
zX<xK`xxo2F_Rou8JyF9!Nx6byS&86a3SEig67?;0tfUNsLG{~8q|rqbOKEv7qRz^I
z|5d+Xpn!scbIXco;C<|inlll)fJC8z29qw%$v3de%)6P3FoD;jEe7%A!Qb<s$sJ@T
zWqUH)9$jKT1z)<F7l=|}UxuUVG_m@GDYjI74gC-{6ATLJyqeq?66roF-{4OQgl>`}
zOHf#4&Bu$C!r8#oNnq8u!4C*xIc6)=rm++nyeTR8@T?C6R;wY#ML6av_8<%OQ3Pi9
z`X9F>F0SRBD719}O%pRGHT5T<h_GlSrupp;9XB)7YCGJLIZY)lo{D~ndAHG~3vy5_
zy;i9jAeMtT7R#wxbns-JC-`O|O?@Wz8}*gP7GJZ?%kH7M`4NH!3+E;G(c3Oqxc}Ow
zOt|WEv4Q=BITKxlu?RjZM~|_PZ7GxN<|veL-<f6lv@bngsN!iUq$JAv>4byR5WF9(
zH~Y+n4dW-0GZ^cor*Cs1y$+6b@m4j@&oOqW{2#jwvqjdKrFG2F)K>!IoVI7+n^(to
zBZC723b{_F2bfGUPd(;-XpCj0UQk*73OhwGJ^}mBs?Yu2Pw4O^>${Ul+Vkx67(oG<
zSZ?l7<Tvfm&y-lzG2Du0Wgd!Q@9s}fLK*k_rYQGmX_4iIL_D$p9)g}%!2vEt%ICi*
zrx<c>S#tHyM|l2~5+(H?>k5CAzP8-P?gNuBfbJ%_{7378Y$vS2X5UXXVb-^lvUb1z
zd~3&EBOM>>j^0h_VsqxLTK)<_fwIjyOtka=!n~68V5aKR_MHUv7Sz^FM+)t8UbpdQ
zlGm2g{y5^#G`rjTS89+#AFH2);wzNR0^73m4{C1?5@X0XS1SMyZ*eg(jRJmEuq#wM
zS2pkd(n8ld)a(g8H;mR+qsDX|;bO(tAMqFZ<}rGQ#QBtq9H3!O-klbp9WOK}88abs
zYTQn+{H8V2^HCq!o01sGNTb$BF5Pc`riga*lnvCah;d>eu?_3iU>F#98rzOsNaB7X
ztvpc6t%W3Y?QVvHopne~KofZif1se+T$seot*z8(3-nx`K1wd}vn5rE_S|#IYm(Mw
zrO%g?%%_l{$8v!llw55QYQ`P)$IkqiU3o~I=<`JEBs98%gUrV7DDc|+YSSx3sZ~5{
z0w1xXfG^}_yx-w4zIjDhb6ejl9Jbzg(t5<?s7l*VhVoy1gKs0$vu|toohm1b9Fp*+
zLWAkO9>=3f1%_1=d}`MiyQEqI&r}(>EuMs;Tnx8g(Mwu(MHQ-*E53FV#Gdf>s#vh-
zm_6jM=Rm=yly9aurpQ-D#nAh)nH2e{`|&frMLDKISRZ_me)<h{mXHhXQVbMn<PG@r
zHi{9sZM+{KUWNFodd=%f9d05%vSnevCkhGb{2(;vtCbf4QknJNL6Ctj?Ndp-eM-0i
z&DU;=Ujlz{=a5P_^OB=<z&%?W6l5a%3o|J+>b6&yk%r;Sn0T_t%P43zTx$yj1cFj0
zzk#0G*eBF1qTk+L*}&$AOd(LUVM9!Snx14sJ$afAJEtA8(TfiaB_ijJ#{>e+aGF#~
zSFh`j&SzQ|axyHgX)|;}mZ`_|-;5KXGHE_ehwe{!npli`IcF)a+d0EH97jC|lMr`C
z91C@tQ5=QI*DdIo*mq<pEV^cjR>sRCy{4oA>z0(RpOY*vRAJ?yF3dpULo>wuOsGQH
zPoaujMnS|<2iDzsD08)*%Uyk4%fsCH_|9YQ`ayrnSS06!bmB_Q9#|GsGZ$B?6WKd=
zw40JY9bLiLV{qqmU}p(wnW-C~gUReFdd9Y3&$n;#-2@z50f`~PSKbn}AX=xNLKfRx
zsQPVY!@mO?&0M7&JkXOdf(u=qn)7MM;d6WmENffg*MT!;#7kR)mk{Jk7Zx*XXA|nF
zN*0p_<^4&kg#@D&r&D%3nZwF+32LGQ%7k~T828g&Ni7yxpF}=VtbIF?fomyEPr=^X
zT(fYLH@Lh(o>#pD{f5L^G3tYi?;h%u3H-64aaWpjbaD#wE6v^k6mJQ$o&RwOjNc6~
zb3LK>{PW0jdu8DP+;e+jr<n~$|B%h!HgS5U?IWb?cquf9kb_@1#XVo1_K}+#R;4jd
z<wi3kp<(a55X1IRe3e=11uLPNNBLkGRlS79pEQlh6G*C|<v1o$Rf_<Pokxsl_YuTD
zGZAa)8Pfv*@uB!rfUOBpBy(`6WPR9~d{Pt1tFoP!BT97*Q@4NCctKLugzlW`qgPbD
zRyQlAl@QR|j6@CIJfmk)>L1CvNJ@v5r*HzzTO@%RwPw)5p^})bH$zjG&>=&n-7{(;
zjy8_I)e*R<7_}gu!S<64)Dm_&D{fA(|GrJRfxpYovpG~l-cBJU*Q|LGzWv7CQAMHx
zER31Lv<$~{PT3NxMuwU3Rq>`bb<=4km{+EW#zI31x@yU#lu_NLaV4Ta#cz{K!P-Mu
z=({;urnJpaJ0o~^8Oac61Gv&Y3~_+d?NU%(7N&RgW`E-d(U4-~ZDu6VL|dQj@R)7(
z@*>SyCb@2Ryf=3Jvp&s26*oX0*mp^vB#AF>B#pVLc$R|yy8$&6JvyAMgpDj9=ogw@
znb6Zmra5sdYz${hGz3N$My&^<wBuF04z*Az34X(v-%+u(urVZg9gpuJy9K2o7gPnB
zXx;}Qf9X~QnFgq`>ql5o#xt6q$Wz_eK`_EPq%NR&H(kPCcSOg-IBS6Ev0-dyTH`R@
znEv$_TJe!(8UAPG8iEO*?)H?XVL#zH-;6IAnJcAQ<6BCcEX&I1U&rRK9^(DZCpPYm
z3sG%870Rgo#d>-mH!_Z%pQ?R^@@hn^FxaUbD%+KvB_D!+rp7EmiCF{$>x_~_BonD1
zkHl}G3EK^Tdh6pV8sZIt(6IZ{Jgfc25hE0VPE%1t_s@v1O{6hO`*9<Uw<B(8)y<P=
z<*%m=MPpy0e$wk`<j>~mp1~qQk<VxAdFu;Df1tKouv95)cHG>C*Xq|7$#~kBt>I<8
zId0F$@{>&_!a(r2%$b@$l?Bfy9Seo!<CUud-husBl96IN%}G3KjdWNgucLtDc&ZrT
z)W7e9Zec@6#p~f#FwhrOm0+Bc-I?25o2%=weviTHLnx%$gDJ83aiR41HT<{XB*L<v
zrT_Oe1d?y&y!j&#3wcZjxZ+ds6pkISo>(|*MCu5;&ve|HOJh5CC5G*OsA^ue(Uzwv
zfvS3IbjZW=tjkcoNUb+p%E*^KDY7nn@bWeTk6INmXH>pKQBW5N#4BU~MdMjw-(~Jl
z{%{EgwaSgHPj_$^Cov;ZOL`gv>Yq`R9Zt8bw9OY9!y5&mFxjbqC8x`12uY6EI3z8S
zW_2!(W}$PWqW8}wimh8IJ>F4hhHm_FxiVm3wg->Gv*?0ZDFV1knU|nnNMb=mbZ9iU
z8n#N94G{z!zx<aVLioff0XVUiOtfxj$l8M?JnM}O_}SSGt0#FR^T@>_OP8ETaVH}n
zdIF=hdx&Z-RBHdjdG}6a{4Zr}l0Au$59KQ^TF*^hi{t5aFhQbtHlOF}Q5l}_7A5Ke
z9=Nd5!`Peq@!dkgIJ!Tfa9jX&tJ9&r%Zi3E1!K^pY+(|V(Mt`e*KIUhG;*#COxN7V
z-JqEt`idJOfssbQCcNu{5A2b+zVlANNN29E5%7Dw+?7^g+TF0m@TRocXADN7AnEfk
zfiqv4X4CY-*!wE@02FmWEDhg{*HI8~$c}c)0R3ZL+Y<_3FA$;rp1g7FR@~<U<RvsH
zk`jmm4}{z>#UC5YG?Y^NLJAwyNT-0k^eOuh;fgX3z<lNRIL3(d=Rpw2=wOX6y*T!q
ziQ$`?kAHUJEj=wEL1oA?nBZ^DA`!OXNvL0Z;Jl2%jY5nrnk<!&YjXEIX;V>viYAA$
zX0_oBd7UZB(c*NXc9MIzk@CH0Ccv3>qLCdmPg?v}G{`iZ*0p|^1VWTr=>^7Qc1XDj
z;4>%TQQaWRI_J``0_UdHGz+JtSEQgHbs@t?gVHl^<CtQ%;tfS>_X-$P$7KO``oZmT
zor>av6ltjOA$Me_pXBC7m~41U#;kzfiil4<-i{)!C;!?5<jtj{xj-!V5(2p$q;bo?
zFa2C`K*&{r&`<9*0!HMpHPxtXG21-S+)}Br8g~5}bUy)-lC<%m+spR72@uPjQ)hVr
z$3@z5GPC8i+dcPwN@l|cO%qU1#iW-;Mk`s6S4hwS%@h8?ci#?3PWz6_AiO)4(S5He
z2-AbJ9ciDIgErBmlBTL?Wh7SYIxks<qihPUE1J#_Y(a|LUv1OadvlX|be-y>ynaP*
zp;vP90<}}Cn$`LN;hh7SQ?SXypJtFl`P?3yL#-a#>@CbiFrc|%`w?xCVjQA8`h>a3
zp`nCvl;;w+`w<PLcEuPfmU|RFtoj@fU%;jn0wU-nAAN_=z>I(0Wn%*0p03|aOf(vU
zxVcz%uN$npI3y+0dq=Q6<p_|e@0I~KGZTZmgjwXcuyE+XAYv?KfG>H~&04Xdj6%XF
z_iQSD@ajQ06FW`_h^;kV(HOHjZ@<yE0ukWyP{IwM(9LPH)KF^g3!#>fj_F-X>hJ(|
z$sWtgrRl}*u2vT=bX3bqHzBOc4R+eLU<t^Ea)A*2W1TCfU%ooN<^>#jWmc@*qB$cu
zg7wJ;`ZtQ&+7qNk0s5Au`=DB1)odNF<f!3|+Q<Cb%bz4E2^p@Jj92lZ^w^Ob;KnZx
zusm%Fe6#W%%G5wx(js*lh3K!esD)WWXrms8S)}fhG%KyYCsl<zp11EW_?xquE~A~R
zEI}pgCj8`p4Vk41OH%5NI4PQ?^MZdf9(n+y*t<y*)l}wS3-!4qvlT3zj+WAkTEc;t
zg~zy7*du2ul{*VLj)`3{mg(ehv33_RI9&Na3NyX7M=}Xv7yFdPu!sD-_TQ}}FFW35
zXt2X{S(8@$4Y*MM#nZMRr7mqb?JA_jwRm%oyHT_b9vulnztxaCCwN0Yb_Lk68)-w+
z1jGP|_(NKl*aoBLU|$F!v~<dN4FeYq=4C~Lod(Y5TV--(1P#+G*YL*B##*CvzXSK#
zHMhH@W~sc13t)H)J>7O^?fC7`oSbcC7U4df9+xPS@IVwRE1h*>#Trvn0st&lvg%3!
zwRy6bpwdngJO*jfr@f0QJ&Y!=vs(#oBbUH{P^r$#rP4>2Gx|T}Vm)a~iwLRc3V#kk
zS(JJH7iJ-*UJ|?8(n~@zt3OaHnCFzsP)-QpK_qFEQnrn-6AB|a0gyZ3fn;Q-gzfA;
z=hZH;V##e3=S|5e=T7Q<r7is_HMHMSKS*cQGdwt!*Bp=fWD=G=k88Yxw8S(#n@kQZ
zE;QDMVlaxEW@_GbLDNT(XL*Z$FL+VlzjE3Dvlo@BD~mZ2H8I;scE%t|%<LV$k@oP3
zT9`Id#{=@l_TW>>LnK6WTHy0hsIw}jXnvsGlY|Ro+D|ZvK9>5#gLqPO<f|y1F-pnB
zGO-QyTV3A!mM2q!E<zbYX^IPPuMvprtq&<fZOwKJMggcXb`z56GHjl92cxkZG_IzC
zVHy~~7&{Jl2ob6z@4TxOtF;t!!Vw*Uf^P%uU_Lfo?>+D&A281+z?1zn$$2;V708-$
zd~m!@6p-6=)uN+wB4t^KMXo(o)f#j~qjBsL+Cj04HfQ@uZxrwI4OdqcJW;S8Bc4u!
z2r4SirEw29Mr^wlr7w6v{2*~_co56bUWtRVcBu9-IdTu0*E#4d>_zUPNu6IhI*>Ed
zHC$}wVlbG!SM5e*h)T6PXNXSBIn19_k$uU7<*}-$?kI=ys@o_{GotQyT9$^djgy*1
zbbqm4g&g&3cyR7NTkV@O^zoflYcplwLfmlVWAP&e$mI6DTu$;ff}l!gxaqzatp9qs
z;5{M)DMQ`v5yf=UxQV<J7Q^w;UUlh+wiDlPU)j8W54Z>8j@n*>oa7=sjyp<TMz9<n
z^<0FmH+pB+&roDYxttT36V56UaVn@qB`CXLrQj4f*bhqQ8&)Wr_FX=-s{Xw~@ji4@
zyo90Sja)pF<ok?fh^{JVEV?~w;nn$^joyeF;StC*=gGAW4G6hn^A5(<H-Bu;d5v*4
z_aJ<q58CVJ#{QJh{z8Jp@1*R09ctU<-J{UKxUhJkrpLwSIdwhO9bQ*c!u;A&rnPnq
zZns=KkjQmItmJDW4JDhA4MPe^IIxD79`QtC#v?6vQwL_osk-)6fdL0hcfG@|^aD-+
zcM6Opy~_`o`u;6RN{mGYLzy|Kzocin%Pkkw%!b6v*eU&E)`2;?LhE&7r5pM$H6ve?
zCnG!jwvKztv+IIt6|@Zt3GB<$E}&}R&J*wJigrR9x4+nNOz+~x@SOT<sgLPUeLE7}
znSxB<N+=BwhR`mtaBgN)XC_$Nn~g5hznvd?Wze8WJLw5qiu%XHBX_B4q|GtQBjsSI
z8Amju*D1VmDj`~9Lp^3U4&dCSkkq{ctw5A)TAPx^)B~%MURasDi*ov;Rm*PbZ?09g
zw4Bv65kaWP2N{m3yys*#NKpBzW#GfIbb52~cO{dwO}R<`J`Ds^6{sp(#U+-dnWX)l
z^ta0x#X6gWp$C#_-s4VzFsQiNl>GN^)6vNT#<jO%=2=O``}@uh&kt9P4I2`z>&aRr
zp4ea939M$GY*_HmLe`jbIy{(N&;!-9{LDSy%{3`aNi;~_`SP3e+&_4O?>?`63QJRD
zU?^~g70!oarabJdeS4d<o68!CPAqth^T04~nnGk;)SVwt{CT~_)516@He&6R2{BLK
z7Q{7;4i;XXVk=bKGeY832@;B%iAhRo>Yw*JoFcVXIxVN(q`3u{&FUpdAkjx7C@K<i
zPJ<m9jqOKL1)9vdQhZiDGbxVlY!%Tt@0z~J(Rb=$01$n$D-(@2?3YY`zHO6T<dVS4
z$+6O9GrmdJ&9N;W9c)gm$};hdo?=kvvBI}<heStTj>zK6Q<T19O_h{{da)IWBMl*u
zn&h0`oV2U*P_Y(wQBiiSGN<3dU8rMQlXH@#>=l19Fm|f_B$U3rNk>uX{)cu+NsWt6
zg9XpcR8y*E!H9P`P(P(hrq;WzNT<*~!=jF@YdLT7=5BjB&2J)CIKsMAS+yLp2g?s}
zbH0)^J0p_dMpKoceKPN7TfrlVLc^-@>kn|f<#-N>xSx0R1RdyHMz)7{sb(ag%lz);
zO}EyBdKxZr1RCf3wo`?=26A=RJtM^wNh|Q!Ki#iGIhqwu6`+Meq?Soy<)Nz~IQ90u
zR10!>Z<%Fsq=pp5&4|x(78cU|O{ar8QlEFrihF>#d;hRt&Xnq~q<xOGT@s3Fare53
z1(^xjUUk^7jesh1Ejm4822v!>zabU6mHb<%D0(5xL+;2xyAe3Vq7*A;vQbSxdpB2o
zhJb@#eF%Klj=>qZewl~T7wa|6qPZ>>^DSUm?<zlGISAm7Ks)W}C+fFuj`>l8!0R#;
zpU;*%k7qZ)3tBYk1ugnIFlkAM$(%V_Y?5XHmnbFm5Q^WJmAas_0Kj|U`BSHIJz@Pz
z!+6mvDv@oTDm+U%;Si0x66#IzAJD$ih$=5Z<0Lk2m7z6q)USpWmz*7WqTeS>;}oAb
zBqmf^xex=rw?~`=<=htJ1MJ{A4uIZ>`nqD85hI5bHl!E-Lu>OH>57YO27NPU#ACp?
zCv_qyjx#}G(FAmwswuN1>GVkH*x*=Rl^k-IH2W|-TNM{I66R{k{I&2c0R9<q)Q$uh
z*K-Q0^lqTa<Y2tI<dTV=qEnZTQ_3k(?fM#g&8hha{a=I=hdfy2=&N|fn{dT29rK;P
z1k!?`5@mnCHPM`43Dqg?BVqk7mEpm4<dntPb6;%B1ry}D=j}R${_}Q?2USO;wWC}N
z9KA*)Q2qEszk+dAvLd|A3a882b#{eTsEK$P*SyIBoN_&nq@Fvd{}*6i_cU&tq3IT_
zN)?AZJV)ANF|3k}_{ZP(Ys0*tgxQ&G8Orq`xQo8?w5^;V)p@XSst*|6d;y)MGdo<K
z74`eiqO`Lziq%0eY(pVU@zYsX%>GFBm>(&Vm6cw3m8_f#LB@JCEb8Pq<)b#VZy&Bg
zH<P(fZtMLz3IHPe&-I+$(&e9PSlQ}q^n$IZNzYL(x3AxL^_h0q<&WZt#vskm=zi!`
zyEBHIqc7eZms)aSH~LJQ#$!J|Gs!Qhza0<!{;>;HR5%wt_#beLcGs(rp@W6MlvapJ
zgUCi_Yxe>*K4li<y+4QgzFoAHmXPZk?Oc}q2uU+}xo2RI?!oVVi7_^Yo`FfBgD4WB
zAZ?}5ODkVA)t^|#*rJR*H(xUXih;(iE;Mi)8td!yZGbLkdCw7J-&*H2j3zY-bUUX|
zdEfT<fOpJw6y(nLSTTm_9kU0*pNHgNiM=ge#pq^Z;#1z>8Lm#y5cI^U`-8zESKbha
z3#b5BXmOK6>>=e+^E9XcZOSRvpkK8G_LbO?(d&rY-J@|lJ_>G;pGH2_wFlxpLJeM}
zS4(o4v(#G?MDAOn2nIgkXm>t-+`hscKHt6`U6fUu#6)!#^|tSt$Y1A2hah`xxK)y+
z%e{PnrXoWQnD}5y&{ulNKvJn~r9sp4U@Fc`n|j5sF}X0Aq2==5f3A7rp+{r_X~sE}
z&y20qplEQOQf&GWs<&x6+p}8xr)3uc3}~|<ZE3#c2mH>tTCHQmo)i^CjMCl{b|Pe=
z7tybAGT)q|H2z12O(4M+1J4>Y?1uTGO!0v9apTq>*Q?MIIBe$h<`YSEg~d&)wVmEX
zv4ksK%_FB6lDKy#EFer^9>FBF1_1nG>1?Kx><Aik7@gI=qt@(jW~~d<Z8dC<_BS}A
zWg()@rI>QG`my3Uha~Ek7gz3EZz{g==#itiBs6FM2RP7-cr0>-dEkk5qIb=2H$_31
zZ*Mp~UkB|l599slvlv7uQH&P%t1*2e0b@cR5AFgW6Aa<uN}doxxe6zK+9o+og$utw
z|L+#xgXzx=gDmQLZluTCV%|+6K={X1Q~td8_wI%~Ax9e;Q%6$N$7B8&Wlbc<o`D@1
zg|$AWQ)@(q&u{e5)A)4=V}yJgV;W1q<l7HiOz9X1_lwo7I@`ba%I`H$q~^a>8fs2$
zjdATTykDDZ82d}|l8XLc4TZK?LDZ1XTJIYpXcW|QzN7eBSkjW+8eI;k5@>tH8)%TS
zQ3$P6PPx{3=(&7xHrboRhaSfVr!Uqoot~t!A<%3M2;E$auiE!ZllLZ_<WQ%(s1a3X
z&eCmCOLE>~GBS!7li>sJVt&^&c^0#Am0{DFBp-P}_tf@nMG}6GJSQ@xh53X?+^k`F
z=K*4c#!cSPT$Q`otoVDSXx=Sw{j+Jp{{5KGrv3So??3**#5VJA>*Qv>l$O%O3lqN@
zZRg8W)3{VUOuR7h>p%S?8N|~}yukl8Qj`BPeqM+obK)T3e?gka<j=^63yo~=i5XEH
zSwEusY$9-j|D{H*|JWl}UJ#k#4(-V9C+93`vJI}nCmnfwBDR75Pt3mNQ|M-qBHz}Q
zWF4Hte{uXbad`!+`6kf+`JzDF6Fw;Z#cRjr@?(O&cuio1)P#2Z%h&WKea&CI7!k!M
zeZF{Yr9A)ReDRvmZvKV*;<dPYC%(Kj<6otD`ad7=iwnm4i~su_M8F@GW$WakpYt6s
zJol`L$93wAZ^j>1hg~}Nk@6?5%6}_yWqfOQ^;-U|?VLZiwrIf6Fc+hqD{?203;_Yl
z%dvKwFJ<R$YqA_?4~_Wi=$ML*|4oV)ifvi%*=fd^#s3)&Zhn5kdx0SYPArdlKIM2!
zMbH1=Tqge~W23o%$!8Of&t#NcTrf?v4)-S<V_ya9^(X$$Bp|0<bl4pNP7OAH(5U7!
z{%1~0gvodK)eBOqKuxk?q81Vm&^&uS`^sg&M0cEJ$G=+|Kd<PRN+&c`z?iy!91L2l
z{-pOGSK(Z&o$96RtZhv@C$54j|B3OehuS&Hqf*)5{RM=LB!>>3+|i5%Y8l}jPaa6<
zH<_nQ{?scIANZIL1tu4`j?|fEQRV=KT$Q;^-q;NDBJ*`N3ZI$Kd_2g`8h;_qmH*t;
zZwB_1Xc)UugMEPJ4MAiRrRW&OoFFg}8hzzZ(4O({LP+C3zKbQ2D4fm3Z;ZDkOP1C;
zHuj&&=0)WMb1-pq0abPgF_J{+&FdqRH=yF9&jVcAdvHlI5kpftpWGE>{yA8@{O?tu
zsm{M24#zOD`5xhrOe39ItQT_h6&!f6@m8{bYW18ulNU>K#k7E=r>M(F7ysA=cldFs
zbJ!FuGL|^N0}`I|!{6UMPMN<$8YRR{tQ{;Rr)5hfuF*^WHB$UN6C+CjN%sQy;?U!u
z&tIx>GKDB8eUN)aX%Q5I^sDmtixpw~o3xZdb|}M|tc!Rf9^3fW;#fvCJ`&ykMEk0k
z8u+-~*Nlrj<18lM<rV_jDYywLCni4K*ssyb9x1I8BZG093LwP&3D3;fU?XB^N#9rC
z)R57lKfVmpg!qpPYsrRJoC!4-KD1t#mZsm)@vn<h<bQ7dhn)D0=IO%K1Cx*G#9xp9
z`j2$F|M3d`_<!HDzWkp5Id;ChCcMA-&$;@)T$um=mC?$qvDr%d@4nh>l+4@0b+>Nc
KlC8BX;J*OStRgW0

literal 0
HcmV?d00001

diff --git a/docs/tutorials-cli.rst b/docs/tutorials-cli.rst
new file mode 100644
index 0000000..c863f46
--- /dev/null
+++ b/docs/tutorials-cli.rst
@@ -0,0 +1,94 @@
+Command-Line Interface (CLI) Tools
+===================================
+
+FuelLib provides command-line tools for plotting, unit conversion, and exporting fuel data.
+For detailed usage of each tool, use the ``--help`` or ``-h`` flag with the command (e.g., ``fl-plt-comp --help``).
+
+Plotting
+~~~~~~~~
+
+The plotting CLI provides quick visualization of fuel composition and properties. The following commands are available:
+
+.. code-block:: bash
+
+    fl-plt-comp -f FUEL_NAME [OPTIONS]      # Plot composition
+    fl-plt-props -f FUEL_NAME [OPTIONS]     # Plot properties vs temperature
+
+If experimental data is available for the fuel and it is properly linked in the ``fuel_metadata.yaml`` file, it will be included in the plots for comparison with GCM predictions.
+
+Examples:
+
+.. code-block:: bash
+
+    fl-plt-comp -f posf10325
+    fl-plt-props -f posf10264 posf10325 posf10289
+    fl-plt-props -f my-fuel -dir customFuels/fuelData -p Density Viscosity -d
+
+The first two commands provide the following plots for the specified fuels:
+
+.. figure:: /figures/composition_posf10325.png
+   :width: 600pt
+   :align: center
+
+   Compositional information of Jet A (POSF10325).
+
+.. figure:: /figures/mixture_properties_posf10264_posf10325_posf10289.png
+   :width: 600pt
+   :align: center
+
+   Properties of conventional jet fuels JP-8 (POSF10264), Jet A (POSF10325), and JP-5 (POSF10289) against data from the Air Force Research Laboratory\ :footcite:p:`edwards_jet_2020`. Note that the data sets for thermal conductivity are very inconsistent, but they typically show linear decreases in thermal conductivity with temperature. 
+
+Unit Conversion Tools
+~~~~~~~~~~~~~~~~~~~~~~
+
+**Temperature Conversion**
+
+.. code-block:: bash
+
+    fl-C2K 25                    # Celsius to Kelvin
+    fl-K2C 298.15                # Kelvin to Celsius
+    fl-C2F 25                    # Celsius to Fahrenheit
+    fl-F2C 77                    # Fahrenheit to Celsius
+    fl-F2K 77                    # Fahrenheit to Kelvin
+    fl-K2F 298.15                # Kelvin to Fahrenheit
+
+**Lennard-Jones Parameters**
+
+Convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (for CHEMKIN chemical mechanisms):
+
+.. code-block:: bash
+
+    fl-eps2K 1000                # epsilon (J/mol) to characteristic temperature (K)
+
+Fuel Management
+~~~~~~~~~~~~~~~
+
+Quick listing of available fuels:
+
+.. code-block:: bash
+
+    fl-fuels                   # List fuels shipped with FuelLib
+    fl-fuels -dir customFuels  # List custom fuels
+
+Export for CFD
+~~~~~~~~~~~~~~
+
+FuelLib provides exporters for generating fuel property files for use in CFD simulations. The following commands are available:
+
+.. code-block:: bash
+
+    fl-export-pele -f FUEL_NAME [OPTIONS]        # PelePhysics
+    fl-export-converge -f FUEL_NAME [OPTIONS]    # CONVERGE
+
+Additional information and examples for using the exporters can be found in the `Exporting Properties for Pele <tutorials-export-pele.html>`_ and `Exporting Properties for CONVERGE <tutorials-export-converge.html>`_ tutorials.
+
+Developer Tools
+~~~~~~~~~~~~~~~
+
+Tools for development and documentation maintenance:
+
+.. code-block:: bash
+
+    fl-build-docs       # Build Sphinx documentation
+    fl-clean-docs       # Clean generated documentation
+    fl-format           # Format Python code with black
diff --git a/docs/tutorials.rst b/docs/tutorials.rst
index d7c1f9a..ba3b18d 100644
--- a/docs/tutorials.rst
+++ b/docs/tutorials.rst
@@ -7,6 +7,7 @@ This section provides tutorials on how to use the FuelLib library.
    :maxdepth: 4
 
    tutorials-basic
+   tutorials-cli
    tutorials-custom-fuels
    tutorials-export-pele
    tutorials-export-converge
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index fcf40d8..bb81b59 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -37,6 +37,10 @@
     "N_A",
     "C2K",
     "K2C",
+    "C2F",
+    "F2C",
+    "F2K",
+    "K2F",
     "mixing_rule",
     "droplet_volume",
     "droplet_mass",
@@ -1205,6 +1209,54 @@ def K2C(T):
     return T - 273.15
 
 
+def C2F(T):
+    """
+    Convert temperature from Celsius to Fahrenheit.
+
+    :param T: Temperature in Celsius.
+    :type T: float or np.ndarray
+    :return: Temperature in Fahrenheit.
+    :rtype: float or np.ndarray
+    """
+    return T * 9 / 5 + 32
+
+
+def F2C(T):
+    """
+    Convert temperature from Fahrenheit to Celsius.
+
+    :param T: Temperature in Fahrenheit.
+    :type T: float or np.ndarray
+    :return: Temperature in Celsius.
+    :rtype: float or np.ndarray
+    """
+    return (T - 32) * 5 / 9
+
+
+def F2K(T):
+    """
+    Convert temperature from Fahrenheit to Kelvin.
+
+    :param T: Temperature in Fahrenheit.
+    :type T: float or np.ndarray
+    :return: Temperature in Kelvin.
+    :rtype: float or np.ndarray
+    """
+    return C2K(F2C(T))
+
+
+def K2F(T):
+    """
+    Convert temperature from Kelvin to Fahrenheit.
+
+    :param T: Temperature in Kelvin.
+    :type T: float or np.ndarray
+    :return: Temperature in Fahrenheit.
+    :rtype: float or np.ndarray
+    """
+    return C2F(K2C(T))
+
+
 def mixing_rule(var_n, X, pseudo_prop="arithmetic"):
     """
     Mixing rules for computing mixture properties.
diff --git a/fuellib/utilities/plotting.py b/fuellib/utilities/plotting.py
index c529473..0ddd43d 100644
--- a/fuellib/utilities/plotting.py
+++ b/fuellib/utilities/plotting.py
@@ -158,7 +158,6 @@ def determine_carbon_number(compound):
     ax1.set_ylabel("Weight %", fontsize=16)
     ax1.tick_params(axis="y", labelsize=14)
     ax1.grid(axis="y", alpha=0.3)
-    ax1.legend(fontsize=12, loc="upper left")
 
     # Plot 2: Pie chart of family composition
     # Only include families that have weight > 0
diff --git a/fuellib/utilities/temp_converter.py b/fuellib/utilities/temp_converter.py
index 80e3be7..5d79a68 100644
--- a/fuellib/utilities/temp_converter.py
+++ b/fuellib/utilities/temp_converter.py
@@ -1,7 +1,7 @@
-"""Command-line tools to convert temperature between Celsius and Kelvin."""
+"""Command-line tools to convert temperatures."""
 
 import sys
-from .. import C2K, K2C
+from .. import C2K, K2C, C2F, F2C, F2K, K2F
 
 
 def c2k_main():
@@ -34,3 +34,67 @@ def k2c_main():
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
         sys.exit(1)
+
+
+def c2f_main():
+    """Convert temperature from Celsius to Fahrenheit via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-C2F <temperature_in_celsius>")
+        print("\nConvert temperature from Celsius to Fahrenheit")
+        sys.exit(1)
+
+    try:
+        temp_c = float(sys.argv[1])
+        result = C2F(temp_c)
+        print(f"{temp_c} °C = {result:.2f} °F")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
+
+
+def f2c_main():
+    """Convert temperature from Fahrenheit to Celsius via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-F2C <temperature_in_fahrenheit>")
+        print("\nConvert temperature from Fahrenheit to Celsius")
+        sys.exit(1)
+
+    try:
+        temp_f = float(sys.argv[1])
+        result = F2C(temp_f)
+        print(f"{temp_f} °F = {result:.2f} °C")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
+
+
+def f2k_main():
+    """Convert temperature from Fahrenheit to Kelvin via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-F2K <temperature_in_fahrenheit>")
+        print("\nConvert temperature from Fahrenheit to Kelvin")
+        sys.exit(1)
+
+    try:
+        temp_f = float(sys.argv[1])
+        result = F2K(temp_f)
+        print(f"{temp_f} °F = {result:.2f} K")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
+
+
+def k2f_main():
+    """Convert temperature from Kelvin to Fahrenheit via command line."""
+    if len(sys.argv) != 2:
+        print("Usage: fl-K2F <temperature_in_kelvin>")
+        print("\nConvert temperature from Kelvin to Fahrenheit")
+        sys.exit(1)
+
+    try:
+        temp_k = float(sys.argv[1])
+        result = K2F(temp_k)
+        print(f"{temp_k} K = {result:.2f} °F")
+    except ValueError:
+        print(f"Error: '{sys.argv[1]}' is not a valid number")
+        sys.exit(1)
diff --git a/pyproject.toml b/pyproject.toml
index f0744c2..e60b200 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -54,6 +54,10 @@ fl-format = "fuellib.format_code:main"
 fl-eps2K = "fuellib.utilities.transport_props_converter:eps2K_main"
 fl-C2K = "fuellib.utilities.temp_converter:c2k_main"
 fl-K2C = "fuellib.utilities.temp_converter:k2c_main"
+fl-C2F = "fuellib.utilities.temp_converter:c2f_main"
+fl-F2C = "fuellib.utilities.temp_converter:f2c_main"
+fl-F2K = "fuellib.utilities.temp_converter:f2k_main"
+fl-K2F = "fuellib.utilities.temp_converter:k2f_main"
 fl-plt-comp = "fuellib.utilities.plotting:comp_main"
 fl-plt-props = "fuellib.utilities.plotting:props_main"
 fl-fuels = "fuellib.utilities.fuel_manager:list_fuels_main"

From 25964d66d3ebec0a29ada27c1c8ef2a655efb73f Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 16:33:05 -0600
Subject: [PATCH 29/48] Fix error for Jet A

---
 fuellib/data/fuelData/fuel_metadata.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fuellib/data/fuelData/fuel_metadata.yaml b/fuellib/data/fuelData/fuel_metadata.yaml
index acf77f8..0eed452 100644
--- a/fuellib/data/fuelData/fuel_metadata.yaml
+++ b/fuellib/data/fuelData/fuel_metadata.yaml
@@ -75,7 +75,7 @@ fuels:
     source: Vozka et al. (2018)
     reference: https://doi.org/10.1021/acs.energyfuels.8b02787
     description: Conventional Jet-A
-    decomp_name: jet-A
+    decomp_name: jet-a
 
   # Single Component Reference Fuels
   decane:

From 6275a0b374d3e3ecdb038d4d1655b457dcea183b Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 16:34:57 -0600
Subject: [PATCH 30/48] Add temp converters to API contract

---
 tests/test_api.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/tests/test_api.py b/tests/test_api.py
index 899f795..84fad52 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -44,6 +44,10 @@ def test_fuellib_module_api(self):
         expected = {
             "C2K": "(T)",
             "K2C": "(T)",
+            "C2F": "(T)",
+            "F2C": "(T)",
+            "F2K": "(T)",
+            "K2F": "(T)",
             "mixing_rule": "(var_n, X, pseudo_prop='arithmetic')",
             "droplet_volume": "(r)",
             "droplet_mass": "(fuel, r, Yi, T)",

From 2da2de7dd2527d9f415c5999e6d09f88744d9e7f Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 17:13:16 -0600
Subject: [PATCH 31/48] Break up fuellib/__init__

---
 docs/sourcecode.rst                           |   21 +-
 fuellib/__init__.py                           | 1299 +----------------
 fuellib/{utilities => cli}/__init__.py        |    0
 .../fuel_manager.py => cli/_fuel_manager.py}  |    0
 fuellib/{utilities => cli}/plotting.py        |    0
 fuellib/{utilities => cli}/temp_converter.py  |    0
 .../transport_props_converter.py              |    0
 fuellib/constants.py                          |    7 +
 fuellib/conversions.py                        |  106 ++
 fuellib/fuel.py                               | 1128 ++++++++++++++
 fuellib/utilities.py                          |   67 +
 pyproject.toml                                |   22 +-
 tests/test_api.py                             |   21 +-
 13 files changed, 1371 insertions(+), 1300 deletions(-)
 rename fuellib/{utilities => cli}/__init__.py (100%)
 rename fuellib/{utilities/fuel_manager.py => cli/_fuel_manager.py} (100%)
 rename fuellib/{utilities => cli}/plotting.py (100%)
 rename fuellib/{utilities => cli}/temp_converter.py (100%)
 rename fuellib/{utilities => cli}/transport_props_converter.py (100%)
 create mode 100644 fuellib/constants.py
 create mode 100644 fuellib/conversions.py
 create mode 100644 fuellib/fuel.py
 create mode 100644 fuellib/utilities.py

diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index b6e0e29..b34b9cb 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -16,28 +16,31 @@ FuelLib File Organization
 - **gcmTableData:** directory that contains the pre-tabulated group contributions
 - **fuellib:** main package directory containing:
 
-    - ``FuelLib.py``: class for enabling GCM predictions
+    - ``fuel.py``: core :class:`fuel` class for Group Contribution Method calculations
+    - ``constants.py``: physical constants (Boltzmann, Avogadro)
+    - ``conversions.py``: temperature conversion functions and Lennard-Jones calculations
+    - ``utilities.py``: utility functions for mixture properties and droplet calculations
+    - ``_data_locator.py``: internal module for locating and validating fuel data directories
     - **exporters:** subpackage with CLI exporters for generating fuel properties
     
         - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
         - ``pele.py``: exporter for PelePhysics simulations (CLI: ``fl-export-pele``)
 
-    - **utilities:** subpackage with CLI utility tools for data conversion and analysis
+    - **cli:** subpackage with command-line interface tools for data conversion and analysis
     
-        - ``transport_props_converter.py``: convert Lennard-Jones well depth from J/mol to characteristic temperature in Kelvin (CLI: ``fl-eps2K``)
-        - ``temp_converter.py``: convert temperature between Celsius and Kelvin (CLI: ``fl-C2K``, ``fl-K2C``)
-        - ``plotting.py``: plot fuel composition and mixture properties
-        
-            - ``plot_composition()``: plot fuel composition by compound and chemical family (CLI: ``fl-plt-comp``)
-            - ``plot_mixture_properties()``: plot mixture properties over temperature range with optional experimental data (CLI: ``fl-plt-props``)
+        - ``temp_converter.py``: temperature conversion utilities (CLI: ``fl-C2K``, ``fl-K2C``, ``fl-C2F``, ``fl-F2C``, ``fl-F2K``, ``fl-K2F``)
+        - ``transport_props_converter.py``: Lennard-Jones parameter conversion (CLI: ``fl-eps2K``)
+        - ``plotting.py``: plotting utilities for composition and properties (CLI: ``fl-plt-comp``, ``fl-plt-props``)
+        - ``_fuel_manager.py``: fuel manager utility (CLI: ``fl-fuels``)
 
 - **tests:**  directory containing CI unit tests for FuelLib. The CI test checks if the cumulative error of property predictions of a new proposed model are less than or equal to the current model.
     
     - **baselinePredictions:** directory that contains baseline predictions and script ``generate_baseline.py`` for generating baseline predictions for CI testing.
     - ``test_accuracy.py``: unit test used in CI for verifying new model predictions preserve accuracy
     - ``test_source_docstrings.py``: documentation contract test that checks public source functions include required docstring fields (``:param:``, ``:type:``, ``:return:``, ``:rtype:``).
-    - ``test_api.py``: combined API/signature and function-evaluation test that checks public ``FuelLib.py`` module and class method signatures for unexpected API drift and runs representative FuelLib smoke evaluations.
+    - ``test_api.py``: combined API/signature and function-evaluation test that checks public fuellib module and class method signatures for unexpected API drift and runs representative FuelLib smoke evaluations.
     - ``test_utilities.py``: unit test for utility functions and CLI commands including temperature conversion and transport property calculations.
+    - ``test_hc_identification.py``: unit test for hydrocarbon classification logic.
     - ``get_pred_and_data.py``: helper function used by ``test_accuracy.py`` and ``baselinePredictions/generate_baseline.py`` to compute predictions and load validation data.
 
 - **tutorials:** directory containing example scripts that demonstrate how to use FuelLib
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index bb81b59..96b95cb 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -3,12 +3,9 @@
 
 FuelLib utilizes the Group Contribution Method (GCM) as proposed by Constantinou
 and Gani (1994, 1995) to calculate thermodynamic and mixture properties of fuels.
-"""
 
-import os
-import numpy as np
-import pandas as pd
-from scipy.optimize import curve_fit
+See :class:`fuel` for the main class and complete API documentation.
+"""
 
 try:
     from importlib.metadata import version
@@ -17,8 +14,28 @@
 except Exception:
     __version__ = "unknown"
 
+# Import constants
+from .constants import k_B, N_A
+
+# Import temperature conversions and characteristic temperature
+from .conversions import (
+    C2K,
+    K2C,
+    C2F,
+    F2C,
+    F2K,
+    K2F,
+    epsilon_to_characteristic_temperature,
+)
+
+# Import utility functions
+from .utilities import mixing_rule, droplet_volume, droplet_mass
+
+# Import fuel class
+from .fuel import fuel
+
+# Import data locator functions
 from ._data_locator import (
-    get_gcmtable_dir,
     get_fueldata_dir,
     get_fueldata_gc_dir,
     get_fueldata_decomp_dir,
@@ -27,10 +44,6 @@
     get_props_data_from_metadata,
 )
 
-# Physical constants
-k_B = 1.380649e-23  # Boltzmann's constant in J/K
-N_A = 6.02214076e23  # Avogadro's number in 1/mol
-
 __all__ = [
     "fuel",
     "k_B",
@@ -41,10 +54,10 @@
     "F2C",
     "F2K",
     "K2F",
+    "epsilon_to_characteristic_temperature",
     "mixing_rule",
     "droplet_volume",
     "droplet_mass",
-    "epsilon_to_characteristic_temperature",
     "get_fueldata_dir",
     "get_fueldata_gc_dir",
     "get_fueldata_decomp_dir",
@@ -52,1267 +65,3 @@
     "get_decomp_name_from_metadata",
     "get_props_data_from_metadata",
 ]
-
-
-class fuel:
-    """
-    Class for handling group contribution calculations of thermodynamic and mixture properties.
-
-    :param name: Name of the mixture as it appears in its gcData file.
-    :type name: str
-    :param decompName: Name of the groupDecomposition file if different from name. Defaults to None.
-    :type decompName: str, optional
-    :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
-    :type fuelDataDir: str, optional
-
-    **Data Directory Attributes:**
-
-    :ivar fuelDataDir: Root directory for fuel data (custom or embedded).
-    :ivar fuelDataGcDir: Directory containing GCxGC compositional data files.
-    :ivar fuelDataDecompDir: Directory containing functional group decomposition files.
-    :ivar fuelDataPropsDir: Directory containing experimental property data (may be None).
-
-    **Composition Attributes:**
-
-    :ivar name: Name of the fuel/mixture.
-    :ivar compounds: List of compound names in the mixture.
-    :ivar formulas: Molecular formulas for each compound (if available).
-    :ivar Y_0: Mass fractions of each compound (array, shape: num_compounds).
-    :ivar Nij: Functional group decomposition matrix (array, shape: num_compounds × num_groups).
-    :ivar num_compounds: Number of compounds in the mixture.
-    :ivar num_groups: Number of functional groups in the decomposition.
-
-    **Pure Component Properties (Critical, Molecular):**
-
-    :ivar MW: Molecular weights in kg/mol (array, shape: num_compounds).
-    :ivar Tc: Critical temperatures in K (array, shape: num_compounds).
-    :ivar Pc: Critical pressures in Pa (array, shape: num_compounds).
-    :ivar Vc: Critical volumes in m³/mol (array, shape: num_compounds).
-    :ivar Tb: Boiling temperatures in K (array, shape: num_compounds).
-    :ivar Tm: Melting temperatures in K (array, shape: num_compounds).
-
-    **Thermodynamic Properties (at 298.15 K):**
-
-    :ivar Hf: Enthalpy of formation in J/mol (array, shape: num_compounds).
-    :ivar Gf: Gibbs free energy in J/mol (array, shape: num_compounds).
-    :ivar Hv_stp: Enthalpy of vaporization at 298 K in J/mol (array, shape: num_compounds).
-    :ivar Lv_stp: Latent heat of vaporization at 298 K in J/kg (array, shape: num_compounds).
-    :ivar Cp_stp: Molar specific heat at 298 K in J/mol/K (array, shape: num_compounds).
-    :ivar Vm_stp: Molar liquid volume at 298 K in m³/mol (array, shape: num_compounds).
-    :ivar omega: Acentric factors (array, shape: num_compounds).
-
-    **Lennard-Jones Transport Parameters:**
-
-    :ivar sigma: Lennard-Jones collision diameters in m (array, shape: num_compounds).
-    :ivar epsilonByKB: Lennard-Jones well depths in K (array, shape: num_compounds).
-
-    **Classification Attributes:**
-
-    :ivar hc_type: Hydrocarbon types ("n-alkane", "iso-alkane", "cyclo-alkane", "aromatic", "alkene").
-    :ivar fam: Family codes for thermal conductivity (0: saturated, 1: aromatic, 2: cycloparaffin, 3: olefin).
-    :ivar nC: Carbon numbers (array, shape: num_compounds).
-    :ivar nH: Hydrogen numbers (array, shape: num_compounds).
-
-    **Optional Attributes:**
-
-    :ivar pelephysics_keys: PelePhysics keys for each compound (if available).
-    """
-
-    # Number of first and second order groups from Constantinou and Gani
-    N_g1 = 78
-    N_g2 = 43
-
-    def __init__(self, name, decompName=None, fuelDataDir=None):
-        """
-        Initialize the fuel object and calculate GCM properties.
-
-        :param name: Name of the mixture as it appears in its gcData file.
-        :type name: str
-        :param decompName: Name of the groupDecomposition file if different from name.
-        :type decompName: str, optional
-        :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
-        :type fuelDataDir: str, optional
-        """
-
-        self.name = name
-        if decompName is None:
-            # Try to get decomposition name from metadata
-            decompName = get_decomp_name_from_metadata(name, fuelDataDir)
-
-        # Determine and set data directories for this fuel instance
-        if fuelDataDir is None:
-            # Use built-in embedded data
-            self.fuelDataDir = get_fueldata_dir()
-            self.fuelDataGcDir = get_fueldata_gc_dir()
-            self.fuelDataDecompDir = get_fueldata_decomp_dir()
-            self.fuelDataPropsDir = get_fueldata_props_dir()
-        else:
-            # Validate and use custom fuel directory
-            from ._data_locator import (
-                _validate_fuel_data_dir,
-                _get_props_dir_for_fueldata,
-            )
-
-            _validate_fuel_data_dir(fuelDataDir)
-            self.fuelDataDir = fuelDataDir
-            self.fuelDataGcDir = os.path.join(fuelDataDir, "gcData")
-            self.fuelDataDecompDir = os.path.join(fuelDataDir, "groupDecompositionData")
-            self.fuelDataPropsDir = _get_props_dir_for_fueldata(fuelDataDir)
-
-        # Get GCM table directory (always from built-in data)
-        gcmtable_dir = get_gcmtable_dir()
-
-        self.groupDecompFile = os.path.join(self.fuelDataDecompDir, f"{decompName}.csv")
-        self.gcxgcFile = os.path.join(self.fuelDataGcDir, f"{name}_init.csv")
-        self.gcmTableFile = os.path.join(gcmtable_dir, "gcmTable.csv")
-
-        # Read functional group data for mixture (num_compounds,num_groups)
-        df_Nij = pd.read_csv(self.groupDecompFile)
-        self.Nij = df_Nij.iloc[:, 1:].to_numpy()
-        self.num_compounds = self.Nij.shape[0]
-        self.num_groups = self.Nij.shape[1]
-
-        # Classify hydrocarbon by family (used in thermal conductivity)
-        # 0: saturated hydrocarbons
-        # 1: aromatics
-        # 2: cycloparaffins
-        # 3: olefins
-        self.fam = np.zeros(self.num_compounds, dtype=int)
-
-        # Classify hydrocarbon by type (n-alkane, iso-alkane, cyclo-alkane, aromatic)
-        # Based on group decompositions from Constantinou-Gani method
-        self.hc_type = np.array([""] * self.num_compounds, dtype=object)
-
-        aromatics = 10  # starting index for aromatic groups
-        num_aromatics = 5
-        branching = 78  # starting index for branching groups (Group j (CH3)2CH through C(CH3)2C(CH3)2)
-        num_branching = 5  # groups 78-82 inclusive
-        cyclos = 83  # starting index for membered ring groups (3-7 membered rings)
-        num_cyclos = 5
-        olefins = 4  # starting index for double bound groups
-        num_olefins = 6
-
-        for i in range(self.num_compounds):
-            # Check if aromatic: does it contain AC's?
-            if sum(self.Nij[i, aromatics : aromatics + num_aromatics]) > 0:
-                self.fam[i] = 1
-                self.hc_type[i] = "aromatic"
-            # Check if cycloparaffin: does it contain rings?
-            elif sum(self.Nij[i, cyclos : cyclos + num_cyclos]) > 0:
-                self.fam[i] = 2
-                self.hc_type[i] = "cyclo-alkane"
-            # Check if olefin: does it contain double bonds?
-            elif sum(self.Nij[i, olefins : olefins + num_olefins]) > 0:
-                self.fam[i] = 3
-                self.hc_type[i] = "alkene"
-            # Check for branching groups (CH, C quaternary carbons)
-            elif sum(self.Nij[i, branching : branching + num_branching]) > 0:
-                self.hc_type[i] = "iso-alkane"
-            else:
-                # Only CH3 and CH2 -> n-alkane (linear)
-                self.hc_type[i] = "n-alkane"
-
-        # Calculate carbon and hydrogen numbers from first-order group decomposition
-        # For jet fuels, use only alkyl (0-3) and aromatic (10-14) groups
-        # Alkyl: CH3=1C,3H; CH2=1C,2H; CH=1C,1H; C=1C,0H
-        # Aromatic: ACH=1C,1H; AC=1C,0H; ACCH3=2C,3H; ACCH2=2C,2H; ACCH=2C,1H
-        alkyl_carbons = np.array([1, 1, 1, 1])  # groups 0-3
-        alkyl_hydrogens = np.array([3, 2, 1, 0])
-        # Olefinic: group 4 appears to represent 2 carbons with 3 hydrogens in UNIFAC-based system
-        olefinic_carbons = np.array([2, 1, 1, 0, 0, 0])  # groups 4-9
-        olefinic_hydrogens = np.array([3, 1, 0, 0, 0, 0])
-        aromatic_carbons = np.array([1, 1, 2, 2, 2])  # groups 10-14
-        aromatic_hydrogens = np.array([1, 0, 3, 2, 1])
-
-        self.nC = np.zeros(self.num_compounds, dtype=float)
-        self.nH = np.zeros(self.num_compounds, dtype=float)
-        for i in range(self.num_compounds):
-            # Alkyl contribution (groups 0-3)
-            self.nC[i] = np.dot(self.Nij[i, 0:4], alkyl_carbons)
-            self.nH[i] = np.dot(self.Nij[i, 0:4], alkyl_hydrogens)
-            # Olefinic contribution (groups 4-9)
-            self.nC[i] += np.dot(self.Nij[i, 4:10], olefinic_carbons)
-            self.nH[i] += np.dot(self.Nij[i, 4:10], olefinic_hydrogens)
-            # Aromatic contribution (groups 10-14)
-            self.nC[i] += np.dot(self.Nij[i, 10:15], aromatic_carbons)
-            self.nH[i] += np.dot(self.Nij[i, 10:15], aromatic_hydrogens)
-
-        # Read GCxGC/compound data
-        df_gcxgc = pd.read_csv(self.gcxgcFile)
-
-        self.compounds = [
-            compound.strip() for compound in df_gcxgc["Compound"].to_list()
-        ]
-
-        # Load molecular formulas if available
-        if "Formula" in df_gcxgc.columns:
-            self.formulas = [
-                formula.strip() if pd.notna(formula) else None
-                for formula in df_gcxgc["Formula"].to_list()
-            ]
-        else:
-            self.formulas = None
-
-        if "PelePhysics Key" in df_gcxgc.columns:
-            self.pelephysics_keys = [
-                key.strip() for key in df_gcxgc["PelePhysics Key"].to_list()
-            ]
-        else:
-            self.pelephysics_keys = None
-
-        self.Y_0 = df_gcxgc["Weight %"].to_numpy().flatten().astype(float)
-        self.Y_0 /= np.sum(self.Y_0)
-
-        # Make sure mixture data is consistent:
-        if self.num_groups < self.N_g1:
-            raise ValueError(
-                f"Insufficient mixture description:\n"
-                f"The number of columns in {self.groupDecompFile} is less than "
-                f"the required number of first-order groups (N_g1 = {self.N_g1})."
-            )
-        if self.Y_0.shape[0] != self.num_compounds:
-            raise ValueError(
-                f"Insufficient mixture description:\n"
-                f"The number of compounds in {self.groupDecompFile} does not "
-                f"equal the number of compounds in {self.gcxgcFile}."
-            )
-
-        # Read and store GCM table properties
-        df_table = pd.read_csv(self.gcmTableFile)
-        df_table = df_table.drop(columns=["Units"])
-
-        def get_row(property_name):
-            """
-            Get property row from GCM table.
-
-            :param property_name: Name of the property to retrieve.
-            :type property_name: str
-            :return: Property values for all functional groups.
-            :rtype: np.ndarray
-            :raises ValueError: If property not found in GCM table.
-            """
-            row = df_table[df_table["Property"] == property_name]
-            if row.empty:
-                raise ValueError(f"Property '{property_name}' not found in GCM table.")
-            return row.iloc[:, 1:].to_numpy().flatten()
-
-        # Table data for functional groups (num_compounds,)
-        Tck = get_row("tck")  # critical temperature (1)
-        Pck = get_row("pck")  # critical pressure (bar)
-        Vck = get_row("vck")  # critical volume (m^3/kmol)
-        Tbk = get_row("tbk")  # boiling temperature (1)
-        Tmk = get_row("tmk")  # melting point temperature (1)
-        hfk = get_row("hfk")  # enthalpy of formation, (kJ/mol)
-        gfk = get_row("gfk")  # Gibbs energy (kJ/mol)
-        hvk = get_row("hvk")  # latent heat of vaporization (kJ/mol)
-        wk = get_row("wk")  # accentric factor (1)
-        Vmk = get_row("vmk")  # liquid molar volume fraction (m^3/kmol)
-        cpak = get_row("CpAk")  # specific heat values (J/mol/K)
-        cpbk = get_row("CpBk")  # specific heat values (J/mol/K)
-        cpck = get_row("CpCk")  # specific heat values (J/mol/K)
-        mwk = get_row("MW")  # molecular weights (g/mol)
-
-        # --- Compute critical properties at standard temp (num_compounds,)
-        # Molecular weights
-        self.MW = np.matmul(self.Nij, mwk)  # g/mol
-        self.MW *= 1e-3  # Convert to kg/mol
-
-        # T_c (critical temperature)
-        self.Tc = 181.128 * np.log(np.matmul(self.Nij, Tck))  # K
-
-        # p_c (critical pressure)
-        self.Pc = 1.3705 + (np.matmul(self.Nij, Pck) + 0.10022) ** (-2)  # bar
-        self.Pc *= 1e5  # Convert to Pa from bar
-
-        # V_c (critical volume)
-        self.Vc = -0.00435 + (np.matmul(self.Nij, Vck))  # m^3/kmol
-        self.Vc *= 1e-3  # Convert to m^3/mol
-
-        # T_b (boiling temperature)
-        self.Tb = 204.359 * np.log(np.matmul(self.Nij, Tbk))  # K
-
-        # T_m (melting temperature)
-        self.Tm = 102.425 * np.log(np.matmul(self.Nij, Tmk))  # K
-
-        # H_f (enthalpy of formation)
-        self.Hf = 10.835 + np.matmul(self.Nij, hfk)  # kJ/mol
-        self.Hf *= 1e3  # Convert to J/mol
-
-        # G_f (Gibbs free energy)
-        self.Gf = -14.828 + np.matmul(self.Nij, gfk)  # kJ/mol
-        self.Gf *= 1e3  # Convert to J/mol
-
-        # H_v,stp (enthalpy of vaporization at 298 K)
-        self.Hv_stp = 6.829 + (np.matmul(self.Nij, hvk))  # kJ/mol
-        self.Hv_stp *= 1e3  # Convert to J/mol
-
-        # omega (accentric factor)
-        self.omega = 0.4085 * np.log(np.matmul(self.Nij, wk) + 1.1507) ** (1.0 / 0.5050)
-
-        # V_m (molar liquid volume at 298 K)
-        self.Vm_stp = 0.01211 + np.matmul(self.Nij, Vmk)  # m^3/kmol
-        self.Vm_stp *= 1e-3  # Convert to m^3/mol
-
-        # C_p,stp (molar specific heat at 298 K)
-        self.Cp_stp = np.matmul(self.Nij, cpak) - 19.7779  # J/mol/K
-
-        # Temperature corrections for C_p
-        self.Cp_B = np.matmul(self.Nij, cpbk)
-        self.Cp_C = np.matmul(self.Nij, cpck)
-
-        # L_v,stp (latent heat of vaporization at 298 K)
-        self.Lv_stp = self.Hv_stp / self.MW  # J/kg
-
-        # Lennard-Jones parameters for diffusion calculations (Tee et al. 1966)
-        self.epsilonByKB = (0.7915 + 0.1693 * self.omega) * self.Tc  # K
-        Pc_atm = self.Pc / 101325  # atm
-        self.sigma = (2.3551 - 0.0874 * self.omega) * (self.Tc / Pc_atm) ** (
-            1.0 / 3
-        )  # Angstroms
-        self.sigma *= 1e-10  # Convert from Angstroms to m
-
-    # -------------------------------------------------------------------------
-    # Member functions
-    # -------------------------------------------------------------------------
-    def mean_molecular_weight(self, Yi):
-        """
-        Calculate the mean molecular weight of the mixture.
-
-        :param Yi: Mass fractions of each compound.
-        :type Yi: np.ndarray
-        :return: Mean molecular weight of the mixture in kg/mol.
-        :rtype: float
-        """
-        if np.sum(Yi) != 0:
-            Mbar = 1 / np.sum(Yi / self.MW)  # mean molar weight of the mixture
-        else:
-            Mbar = 0.0
-
-        return Mbar
-
-    def mass2Y(self, mass):
-        """
-        Calculate the mass fractions from the mass of each component.
-
-        :param mass: Mass of each compound.
-        :type mass: np.ndarray
-        :return: Mass fractions of the compounds (shape: num_compounds,).
-        :rtype: np.ndarray
-        """
-        # Normalize to get group mole fractions
-        total_mass = np.sum(mass)
-        if total_mass != 0:
-            Yi = mass / total_mass
-        else:
-            Yi = np.zeros_like(self.MW)
-
-        return Yi
-
-    def mass2X(self, mass):
-        """
-        Calculate the mole fractions from the mass of each component.
-
-        :param mass: Mass of each compound.
-        :type mass: np.ndarray
-        :return: Mass fractions of the compounds (shape: num_compounds,).
-        :rtype: np.ndarray
-        """
-        # Calculate the number of moles for each compound
-        num_mole = mass / self.MW
-
-        # Normalize to get group mole fractions
-        total_moles = np.sum(num_mole)
-        if total_moles != 0:
-            Xi = num_mole / total_moles
-        else:
-            Xi = np.zeros_like(self.MW)
-
-        return Xi
-
-    def X2Y(self, Xi):
-        """
-        Calculate the mass fractions from the mole fractions of each component.
-
-        :param Xi: Mole fractions of each compound.
-        :type Xi: np.ndarray
-        :return: Mass fractions of the compounds (shape: num_compounds,).
-        :rtype: np.ndarray
-        """
-        # Calculate the mass for each compound
-        mass = Xi * self.MW
-
-        # Normalize to get group mass fractions
-        total_mass = np.sum(mass)
-        if total_mass != 0:
-            Yi = mass / total_mass
-        else:
-            Yi = np.zeros_like(self.MW)
-
-        return Yi
-
-    def Y2X(self, Yi):
-        """
-        Calculate the mole fractions from the mass fractions of each component.
-
-        :param Yi: Mass fractions of each compound.
-        :type Yi: np.ndarray
-        :return: Mole fractions of the compounds (shape: num_compounds,).
-        :rtype: np.ndarray
-        """
-        Mbar = self.mean_molecular_weight(Yi)
-        if np.sum(Yi) != 0:
-            Xi = Mbar * Yi / self.MW
-        else:
-            Xi = np.zeros_like(self.MW)
-
-        return Xi
-
-    def density(self, T, comp_idx=None):
-        """
-        Calculate the density of each component at temperature T.
-
-        :param T: Temperature of the mixture in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Density of each compound in kg/m^3.
-        :rtype: np.ndarray
-        """
-        if comp_idx is None:
-            MW = self.MW  # kg/mol
-            Vm = self.molar_liquid_vol(T)  # m^3/mol
-        else:
-            MW = self.MW[comp_idx]  # kg/mol
-            Vm = self.molar_liquid_vol(T, comp_idx=comp_idx)  # m^3/mol
-
-        rho = MW / Vm  # kg/m^3
-        return rho
-
-    def viscosity_kinematic(self, T, comp_idx=None):
-        """
-        Calculate the viscosity using Dutt's equation.
-
-        :meta private: This uses Dutt's equation (4.23) from "Viscosity of Liquids".
-        :meta private: The equation predicts viscosity in mm^2/s and is converted to SI units.
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Viscosity of each component in m^2/s.
-        :rtype: np.ndarray
-        """
-
-        # Convert temperature to Celsius
-        T_cels = K2C(T)
-        if comp_idx is None:
-            Tb_cels = K2C(self.Tb)
-        else:
-            Tb_cels = K2C(self.Tb[comp_idx])
-
-        # RHS of Dutt's equation (4.23) in Viscosity of Liquids
-        rhs = -3.0171 + (442.78 + 1.6452 * Tb_cels) / (T_cels + 239 - 0.19 * Tb_cels)
-        nu_i = np.exp(rhs)  # Viscosity in mm^2/s
-
-        # Convert to SI (m^2/s)
-        nu_i = nu_i * 1e-6
-
-        return nu_i
-
-    def viscosity_dynamic(self, T, comp_idx=None):
-        """
-        Calculate liquid dynamic viscosity based on droplet temperature and density.
-
-        :meta private: Uses Dutt's equation (4.23) for kinematic viscosity, combined with density.
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Dynamic viscosity in Pa*s.
-        :rtype: np.ndarray
-        """
-
-        nu_i = self.viscosity_kinematic(T, comp_idx=comp_idx)  # m^2/s
-        rho_i = self.density(T, comp_idx=comp_idx)  # kg/m^3
-        mu_i = nu_i * rho_i  # Pa*s
-        return mu_i
-
-    def Cp(self, T, comp_idx=None):
-        """
-        Compute molar specific heat capacity at a given temperature.
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Molar specific heat capacity in J/mol/K.
-        :rtype: np.ndarray
-        """
-
-        theta = (T - 298) / 700
-        if comp_idx is None:
-            Cp_stp = self.Cp_stp
-            Cp_B = self.Cp_B
-            Cp_C = self.Cp_C
-        else:
-            Cp_stp = self.Cp_stp[comp_idx]
-            Cp_B = self.Cp_B[comp_idx]
-            Cp_C = self.Cp_C[comp_idx]
-
-        cp = Cp_stp + Cp_B * theta + Cp_C * theta**2
-
-        return cp
-
-    def Cl(self, T, comp_idx=None):
-        """
-        Compute liquid mass specific heat capacity in J/kg/K at a given temperature.
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Mass specific heat capacity in J/kg/K.
-        :rtype: np.ndarray
-        """
-        if comp_idx is None:
-            MW = self.MW
-        else:
-            MW = self.MW[comp_idx]
-        cp = self.Cp(T, comp_idx=comp_idx)
-        return cp / MW
-
-    def psat(self, T, comp_idx=None, correlation="Lee-Kesler"):
-        """
-        Compute saturated vapor pressure.
-
-        :meta private: Can use Ambrose-Walton or Lee-Kesler correlations (default Lee-Kesler).
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
-        :type correlation: str, optional
-        :return: Saturated vapor pressure in Pa.
-        :rtype: np.ndarray
-        """
-
-        if comp_idx is None:
-            Tr = T / self.Tc
-            Pc = self.Pc
-            omega = self.omega
-        else:
-            Tr = T / self.Tc[comp_idx]
-            Pc = self.Pc[comp_idx]
-            omega = self.omega[comp_idx]
-
-        if correlation.casefold() == "Ambrose-Walton".casefold():
-            # May cause trouble at high temperatures
-            tau = 1 - Tr
-            f0 = (
-                -5.97616 * tau
-                + 1.29874 * tau**1.5
-                - 0.60394 * tau**2.5
-                - 1.06841 * tau**5.0
-            )
-            f0 /= Tr
-            f1 = (
-                -5.03365 * tau
-                + 1.11505 * tau**1.5
-                - 5.41217 * tau**2.5
-                - 7.46628 * tau**5.0
-            )
-            f1 /= Tr
-            f2 = (
-                -0.64771 * tau
-                + 2.41539 * tau**1.5
-                - 4.26979 * tau**2.5
-                - 3.25259 * tau**5.0
-            )
-            f2 /= Tr
-            rhs = np.exp(f0 + omega * f1 + omega**2 * f2)
-
-        else:  # Default correlation is Lee-Kesler
-            f0 = 5.92714 - (6.09648 / Tr) - 1.28862 * np.log(Tr) + 0.169347 * (Tr**6)
-            f1 = 15.2518 - (15.6875 / Tr) - 13.4721 * np.log(Tr) + 0.43577 * (Tr**6)
-            rhs = np.exp(f0 + omega * f1)
-
-        psat = Pc * rhs
-        return psat
-
-    def psat_antoine_coeffs(self, Tvals=None, units="mks", correlation="Lee-Kesler"):
-        """
-        Estimate Antoine coefficients for vapor pressure of an individual compound.
-
-        :param Tvals: Temperature range or nodes for Antoine fit in Kelvin (default [273.15, Tb_i]).
-        :type Tvals: np.ndarray, optional
-        :param units: Units for pressure in fit ("mks", "cgs", "bar", "atm")
-        :type units: str, optional
-        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
-        :type correlation: str, optional
-        :return: Coefficients A, B, C, D
-        :rtype: 4 np.ndarrays
-        """
-
-        # Define or get temperature nodes for fit
-        if Tvals is None:
-            print("Tvals not specified, using [273.15, Tb_i] for each compound.")
-            # Initialize as zeros for now, calculated for each compound later
-            T = np.zeros(20)
-        elif len(Tvals) == 2:
-            T = np.linspace(Tvals[0], Tvals[1], 20)
-        elif len(Tvals) > 2:
-            T = Tvals
-        else:
-            raise ValueError("Tvals must be None, length 2, or length > 2.")
-
-        # Antoine equation log10(p) = A - B/(C + T)
-        def antoine_eq(T, A, B, C):
-            """Antoine equation for vapor pressure."""
-            return A - B / (T + C)
-
-        # Determine conversion factor for pressure in MKS, CGS, bar, or atm
-        D = 1  # default is Pa
-        if units.lower() == "bar":
-            D = 1e5
-        elif units.lower() == "atm":
-            D = 1.01325e5
-        elif units.lower() == "cgs":
-            D = 1 / 10  # dyne/cm^2
-
-        # Fit Antoine coefficients for each compound
-        A = np.zeros(self.num_compounds)
-        B = np.zeros(self.num_compounds)
-        C = np.zeros(self.num_compounds)
-        for i in range(self.num_compounds):
-            # Update T if not specified
-            if Tvals is None:
-                T = np.linspace(273.15, self.Tb[i], 20)
-            Pvals = np.zeros_like(T)
-            for k in range(len(T)):
-                Pvals[k] = 1 / D * self.psat(T[k], correlation=correlation)[i]
-
-            logP = np.log10(Pvals)
-            popt, _ = curve_fit(antoine_eq, T, logP, p0=[1, 1e3, -1])
-            A[i], B[i], C[i] = popt
-        D = D + np.zeros(self.num_compounds)  # make D an array
-        return A, B, C, D
-
-    def molar_liquid_vol(self, T, comp_idx=None):
-        """
-        Compute molar liquid volume with temperature correction.
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Molar liquid volume in m^3/mol.
-        :rtype: np.ndarray
-        """
-
-        Tstp = 298.0
-        if comp_idx is None:
-            Tc = self.Tc
-            omega = self.omega
-            Vm_stp = self.Vm_stp
-        else:
-            Tc = np.array([self.Tc[comp_idx]])
-            omega = np.array([self.omega[comp_idx]])
-            Vm_stp = np.array([self.Vm_stp[comp_idx]])
-        phi = np.zeros_like(Tc)
-        for i in range(len(Tc)):
-            if T > Tc[i]:
-                phi[i] = -((1 - (Tstp / Tc[i])) ** (2.0 / 7.0))
-            else:
-                phi[i] = ((1 - (T / Tc[i])) ** (2.0 / 7.0)) - (
-                    (1 - (Tstp / Tc[i])) ** (2.0 / 7.0)
-                )
-        z = 0.29056 - 0.08775 * omega
-        Vmi = Vm_stp * np.power(z, phi)
-        if comp_idx is not None:
-            Vmi = Vmi[0]
-        return Vmi
-
-    def latent_heat_vaporization(self, T, comp_idx=None):
-        """
-        Calculate latent heat of vaporization adjusted for temperature.
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Latent heat of vaporization in J/kg.
-        :rtype: np.ndarray
-        """
-        if comp_idx is None:
-            Tc = self.Tc
-            Tb = self.Tb
-            Lv_stp = self.Lv_stp
-        else:
-            Tc = np.array([self.Tc[comp_idx]])
-            Tb = np.array([self.Tb[comp_idx]])
-            Lv_stp = np.array([self.Lv_stp[comp_idx]])
-
-        # Reduced temperatures
-        Tr = T / Tc
-        Trb = Tb / Tc
-
-        Lvi = np.zeros_like(Tc)
-        for i in range(len(Tc)):
-            if T > Tc[i]:
-                Lvi[i] = 0.0
-            else:
-                Lvi[i] = Lv_stp[i] * (((1.0 - Tr[i]) / (1.0 - Trb[i])) ** 0.38)
-
-        if comp_idx is not None:
-            Lvi = Lvi[0]
-        return Lvi
-
-    def diffusion_coeff(
-        self,
-        p,
-        T,
-        sigma_gas=3.62e-10,
-        epsilonByKB_gas=97.0,
-        MW_gas=28.97e-3,
-        correlation="Tee",
-    ):
-        """
-        Compute diffusion coefficients using Lennard-Jones parameters.
-
-        :meta private: Uses Wilke and Lee method (Poling, equation 11-4.1).
-        :meta private: Ambient gas defaults to air parameters.
-
-        :param p: Pressure in Pa.
-        :type p: float
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param sigma_gas: Collision diameter in m.
-        :type sigma_gas: float, optional
-        :param epsilonByKB_gas: Well depth over Boltzmann constant, in K.
-        :type epsilonByKB_gas: float, optional
-        :param MW_gas: Mean molecular weight of ambient gas in kg/mol.
-        :type MW_gas: float, optional
-        :param correlation: Method to calculate sigma and epsilon ("Tee" or "Wilke").
-        :type correlation: str, optional
-        :return: Diffusion coefficient.
-        :rtype: np.ndarray
-        """
-
-        # Method of Tee for calculating liquid sigma and epsilon
-        if correlation.casefold() == "Tee".casefold():
-            sigma_i = self.sigma * 1e10  # convert from m to Angstroms
-            epsilonByKB_i = self.epsilonByKB  # K
-        else:
-            # Method of Wilke & Lee calculating liquid sigma and epsilon
-            Vmb_i = np.zeros_like(self.Tb)
-            for n in range(self.num_compounds):
-                Vmb_i[n] = self.molar_liquid_vol(self.Tb[n])[n] * 1e6  # cm^3/mol
-            sigma_i = 1.18 * Vmb_i ** (1 / 3)  # Angstroms, Poling (11-4.2)
-            epsilonByKB_i = 1.15 * self.Tb  # K , Poling (11-4.3)
-
-        # Compute binary sigma and epsilon
-        sigma_gas = sigma_gas * 1e10  # convert from m to Angstroms
-        sigmaAB_i = (sigma_gas + sigma_i) / 2  # Angstroms, Poling (11-3.5)
-        epsilonAB_byKB_i = (
-            epsilonByKB_gas * epsilonByKB_i
-        ) ** 0.5  # K, Poling (11-3.4)
-
-        # Dimensionless collision integral for diffusion: Poling (11-3.6)
-        Tstar_i = T / epsilonAB_byKB_i  # [1]
-        A = 1.06036
-        B = 0.15610
-        C = 0.193
-        D = 0.47635
-        E = 1.03587
-        F = 1.52996
-        G = 1.76474
-        H = 3.89411
-        omegaD_i = (
-            A / (Tstar_i**B)
-            + C / np.exp(D * Tstar_i)
-            + E / np.exp(F * Tstar_i)
-            + G / np.exp(H * Tstar_i)
-        )
-
-        # Convert molecular weights from kg/mol to g/mol then calculate M_AB
-        MW_gas = MW_gas * 1e3
-        MW_i = self.MW * 1e3
-        M_AB_i = 2 * (MW_i * MW_gas) / (MW_i + MW_gas)  # g/mol, see Poling (11-3.1)
-
-        # Convert pressure from Pa to bar
-        p = p * 1e-5  # bar
-
-        # Binary diffusion coefficients, Poling (11-4.1)
-        D_AB_i = (
-            1e-3
-            * (3.03 - 0.98 / (M_AB_i**0.5))
-            * (T**1.5)
-            / (p * M_AB_i**0.5 * sigmaAB_i**2 * omegaD_i)
-        )  # cm^2/s
-        D_AB_i = D_AB_i * 1e-4  # Convert to m^2/s
-
-        return D_AB_i
-
-    def surface_tension(self, T, comp_idx=None, correlation="Brock-Bird"):
-        """
-        Calculate surface tension of each compound at a given temperature.
-
-        :meta private: Uses Brock-Bird (default) or Pitzer correlations (Poling 12-3.5, 12-3.7).
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :param correlation: Correlation method ("Brock-Bird" or "Pitzer").
-        :type correlation: str, optional
-        :return: Surface tension in N/m.
-        :rtype: np.ndarray
-        """
-        if comp_idx is None:
-            Tc = self.Tc
-            Pc = self.Pc
-            Tb = self.Tb
-            omega = self.omega
-        else:
-            Tc = np.array([self.Tc[comp_idx]])
-            Pc = np.array([self.Pc[comp_idx]])
-            Tb = np.array([self.Tb[comp_idx]])
-            omega = np.array([self.omega[comp_idx]])
-        Tr = T / Tc
-        Pc = Pc * 1e-5  # convert from Pa to bar
-
-        if correlation.casefold() == "Brock-Bird".casefold():
-            Tbr = Tb / Tc
-            Q = 0.1196 * (1.0 + (Tbr * np.log(Pc / 1.01325)) / (1.0 - Tbr)) - 0.279
-        else:
-            w = omega
-            Q = (
-                (1.86 + 1.18 * w)
-                / 19.05
-                * (((3.75 + 0.91 * w) / (0.291 - 0.08 * w)) ** (2.0 / 3.0))
-            )
-
-        st = Pc ** (2.0 / 3.0) * Tc ** (1.0 / 3.0) * Q * (1 - Tr) ** (11.0 / 9.0)
-
-        st = st * 1e-3  # Convert from dyn/cm to N/m
-        if comp_idx is not None:
-            st = st[0]
-
-        return st
-
-    def thermal_conductivity(self, T, comp_idx=None):
-        """
-        Calculate thermal conductivity at a given temperature.
-
-        :meta private: Uses Latini et al. method (Poling equation 10-9.1).
-
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param comp_idx: Index of compound to calculate property for.
-        :type comp_idx: int, optional
-        :return: Thermal conductivity in W/m/K.
-        :rtype: np.ndarray
-        """
-        if comp_idx is None:
-            MW = self.MW
-            Tc = self.Tc
-            Tb = self.Tb
-            fam = self.fam
-        else:
-            MW = np.array([self.MW[comp_idx]])
-            Tc = np.array([self.Tc[comp_idx]])
-            Tb = np.array([self.Tb[comp_idx]])
-            fam = np.array([self.fam[comp_idx]])
-
-        Astar = 0.00350 + np.zeros_like(Tc)
-        alpha = 1.2
-        beta = 0.5 + np.zeros_like(Tc)
-        gamma = 0.167
-        MW_beta = MW * 1e3  # convert from kg/mol to g/mol
-        Tr = T / Tc
-
-        for i in range(len(Tc)):
-            if fam[i] == 1:
-                # Aromatics
-                Astar[i] = 0.0346
-                beta[i] = 1.0
-            elif fam[i] == 2:
-                # Cycloparaffins
-                Astar[i] = 0.0310
-                beta[i] = 1.0
-            elif fam[i] == 3:
-                # Olefins
-                Astar[i] = 0.0361
-                beta[i] = 1.0
-            MW_beta[i] = MW_beta[i] ** beta[i]
-
-        A = Astar * Tb**alpha / (MW_beta * Tc**gamma)
-        tc = A * (1 - Tr) ** (0.38) / (Tr ** (1 / 6))
-
-        if comp_idx is not None:
-            tc = tc[0]
-        return tc
-
-    # --- Mixture functions ---
-    def mixture_density(self, Yi, T):
-        """
-        Calculate mixture density at a given temperature.
-
-        :param Yi: Mass fractions of each compound.
-        :type Yi: np.ndarray
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :return: Mixture density in kg/m^3.
-        :rtype: float
-        """
-        MW = self.MW  # Molecular weights of each component (kg/mol)
-        Vmi = self.molar_liquid_vol(T)  # Molar volume of each component (m^3/mol)
-
-        # Calculate density (kg/m^3)
-        rho = Yi @ (MW / Vmi)
-
-        return rho
-
-    def mixture_kinematic_viscosity(self, Yi, T, correlation="Kendall-Monroe"):
-        """
-        Calculate kinematic viscosity of the mixture.
-
-        :meta private: Uses Kendall-Monroe (default) or Arrhenius mixing correlations.
-
-        :param Yi: Mass fractions of each compound.
-        :type Yi: np.ndarray
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param correlation: Mixing model ("Kendall-Monroe" or "Arrhenius").
-        :type correlation: str, optional
-        :return: Mixture kinematic viscosity in m^2/s.
-        :rtype: float
-        """
-        nu_i = self.viscosity_kinematic(T)  # Viscosities of individual components
-
-        # Calculate mole fractions for each species
-        Xi = self.Y2X(Yi)
-
-        if correlation.casefold() == "Arrhenius".casefold():
-            # Arrhenius mixing correlation
-            nu = np.exp(np.sum(Xi * np.log(nu_i)))
-        else:
-            # Default: Kendall-Monroe mixing correlation
-            nu = np.sum(Xi * (nu_i ** (1.0 / 3.0))) ** (3.0)
-
-        return nu
-
-    def mixture_dynamic_viscosity(self, Yi, T, correlation="Kendall-Monroe"):
-        """
-        Calculate dynamic viscosity of the mixture.
-
-        :param Yi: Mass fractions of each compound.
-        :type Yi: np.ndarray
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param correlation: Mixing model ("Kendall-Monroe" or "Arrhenius").
-        :type correlation: str, optional
-        :return: Mixture dynamic viscosity in Pa*s.
-        :rtype: float
-        """
-
-        nu = self.mixture_kinematic_viscosity(Yi, T, correlation=correlation)
-        rho = self.mixture_density(Yi, T)
-
-        return rho * nu
-
-    def mixture_vapor_pressure(self, Yi, T, correlation="Lee-Kesler"):
-        """
-        Calculate vapor pressure of the mixture.
-
-        :param Yi: Mass fractions of each compound in the mixture.
-        :type Yi: np.ndarray
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
-        :type correlation: str, optional
-        :return: Mixture vapor pressure in Pa.
-        :rtype: float
-        """
-
-        # Mole fraction for each compound
-        Xi = self.Y2X(Yi)
-
-        # Saturated vapor pressure for each compound (Pa)
-        p_sati = self.psat(T, correlation=correlation)
-
-        # Mixture vapor pressure via Raoult's law
-        p_v = p_sati @ Xi
-
-        return p_v
-
-    def mixture_vapor_pressure_antoine_coeffs(
-        self, Yi, Tvals=None, units="mks", correlation="Lee-Kesler"
-    ):
-        """
-        Estimate Antoine coefficients for vapor pressure of the mixture.
-
-        :param Yi: Mass fractions of each compound in the mixture.
-        :type Yi: np.ndarray
-        :param Tvals: Temperature range or nodes for Antoine fit in Kelvin (default [273.15, min(Tb)]).
-        :type Tvals: np.ndarray, optional
-        :param units: Units for pressure in fit ("mks", "cgs", "bar", "atm")
-        :type units: str, optional
-        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
-        :type correlation: str, optional
-        :return: Coefficients A, B, C, D
-        :rtype: float
-        """
-
-        # Define or get temperature nodes for fit
-        if Tvals is None:
-            print("Tvals not specified, using [273.15, min(Tb_mix)] for mixture.")
-            # Initialize as zeros for now, calculated for each compound later
-            X = self.Y2X(Yi)
-            Tb = mixing_rule(self.Tb, X)
-            T = np.linspace(273.15, np.min(Tb), 20)
-        elif len(Tvals) == 2:
-            T = np.linspace(Tvals[0], Tvals[1], 20)
-        elif len(Tvals) > 2:
-            T = Tvals
-        else:
-            raise ValueError("Tvals must be None, length 2, or length > 2.")
-
-        # Antoine equation log10(p) = A - B/(C + T)
-        def antoine_eq(T, A, B, C):
-            """
-            Antoine equation for vapor pressure.
-
-            :param T: Temperature.
-            :type T: float or np.ndarray
-            :param A: Antoine coefficient A.
-            :type A: float
-            :param B: Antoine coefficient B.
-            :type B: float
-            :param C: Antoine coefficient C.
-            :type C: float
-            :return: log10(pressure).
-            :rtype: float or np.ndarray
-            """
-            return A - B / (T + C)
-
-        # Determine conversion factor for pressure in MKS, CGS, bar, or atm
-        D = 1  # default is Pa
-        if units.lower() == "bar":
-            D = 1e5
-        elif units.lower() == "atm":
-            D = 1.01325e5
-        elif units.lower() == "cgs":
-            D = 1 / 10  # dyne/cm^2
-
-        Pvals = np.zeros_like(T)
-        for k in range(len(T)):
-            Pvals[k] = (
-                self.mixture_vapor_pressure(Yi, T[k], correlation=correlation) / D
-            )
-
-        logP = np.log10(Pvals)
-        popt, _ = curve_fit(antoine_eq, T, logP, p0=[1, 1e3, -1])  # initial guess
-        A, B, C = popt
-
-        return A, B, C, D
-
-    def mixture_surface_tension(self, Yi, T, correlation="Brock-Bird"):
-        """
-        Calculate surface tension of the mixture.
-
-        :meta private: Uses arithmetic pseudo-property method recommended by Hugill and van Welsenes (1986).
-
-        :param Yi: Mass fractions of each compound in the mixture.
-        :type Yi: np.ndarray
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :param correlation: Correlation method ("Pitzer" or "Brock-Bird").
-        :type correlation: str, optional
-        :return: Mixture surface tension in N/m.
-        :rtype: float
-        """
-
-        # Mole fraction for each compound
-        Xi = self.Y2X(Yi)
-
-        # Surface tension for each compound (N/m)
-        sti = self.surface_tension(T, correlation=correlation)
-
-        # Mixture surface tension via arithmetic mean, Poling (12-5.2)
-        st = mixing_rule(sti, Xi, "arithmetic")
-
-        return st
-
-    def mixture_thermal_conductivity(self, Yi, T):
-        """
-        Calculate thermal conductivity of the mixture.
-
-        :param Yi: Mass fractions of each compound in the mixture.
-        :type Yi: np.ndarray
-        :param T: Temperature in Kelvin.
-        :type T: float
-        :return: Thermal conductivity in W/m/K.
-        :rtype: float
-        """
-        tc = self.thermal_conductivity(T)
-        return np.sum(Yi * tc ** (-2)) ** (-0.5)
-
-
-# -----------------------------------------------------------------------------
-# Utility functions
-# -----------------------------------------------------------------------------
-
-
-def epsilon_to_characteristic_temperature(epsilon_j_per_mol):
-    """
-    Convert Lennard-Jones epsilon from J/mol to characteristic temperature in Kelvin.
-
-    The characteristic temperature (epsilon/k_B) is used in transport property
-    correlations and is required by combustion codes like CHEMKIN.
-
-    Uses the relation: T* = (epsilon_J/mol) / (N_A * k_B)
-
-    :param epsilon_j_per_mol: Lennard-Jones well depth epsilon in J/mol.
-    :type epsilon_j_per_mol: float
-    :return: Characteristic temperature (epsilon/k_B) in Kelvin.
-    :rtype: float
-    """
-    epsilon_per_molecule = epsilon_j_per_mol / N_A
-    lj_welldepth_K = epsilon_per_molecule / k_B
-    return lj_welldepth_K
-
-
-def C2K(T):
-    """
-    Convert temperature from Celsius to Kelvin.
-
-    :param T: Temperature in Celsius.
-    :type T: float or np.ndarray
-    :return: Temperature in Kelvin.
-    :rtype: float or np.ndarray
-    """
-    return T + 273.15
-
-
-def K2C(T):
-    """
-    Convert temperature from Kelvin to Celsius.
-
-    :param T: Temperature in Kelvin.
-    :type T: float or np.ndarray
-    :return: Temperature in Celsius.
-    :rtype: float or np.ndarray
-    """
-    return T - 273.15
-
-
-def C2F(T):
-    """
-    Convert temperature from Celsius to Fahrenheit.
-
-    :param T: Temperature in Celsius.
-    :type T: float or np.ndarray
-    :return: Temperature in Fahrenheit.
-    :rtype: float or np.ndarray
-    """
-    return T * 9 / 5 + 32
-
-
-def F2C(T):
-    """
-    Convert temperature from Fahrenheit to Celsius.
-
-    :param T: Temperature in Fahrenheit.
-    :type T: float or np.ndarray
-    :return: Temperature in Celsius.
-    :rtype: float or np.ndarray
-    """
-    return (T - 32) * 5 / 9
-
-
-def F2K(T):
-    """
-    Convert temperature from Fahrenheit to Kelvin.
-
-    :param T: Temperature in Fahrenheit.
-    :type T: float or np.ndarray
-    :return: Temperature in Kelvin.
-    :rtype: float or np.ndarray
-    """
-    return C2K(F2C(T))
-
-
-def K2F(T):
-    """
-    Convert temperature from Kelvin to Fahrenheit.
-
-    :param T: Temperature in Kelvin.
-    :type T: float or np.ndarray
-    :return: Temperature in Fahrenheit.
-    :rtype: float or np.ndarray
-    """
-    return C2F(K2C(T))
-
-
-def mixing_rule(var_n, X, pseudo_prop="arithmetic"):
-    """
-    Mixing rules for computing mixture properties.
-
-    :param var_n: Individual compound properties.
-    :type var_n: np.ndarray
-    :param X: Mole fractions of the compounds.
-    :type X: np.ndarray
-    :param pseudo_prop: Type of mean ("arithmetic" or "geometric").
-    :type pseudo_prop: str, optional
-    :return: Mixture property value.
-    :rtype: float
-    """
-    num_comps = len(var_n)
-    var_mix = 0.0
-    for i in range(num_comps):
-        for j in range(num_comps):
-            if pseudo_prop.casefold() == "geometric":
-                # Use geometric mean definition for the pseudo property
-                var_ij = (var_n[i] * var_n[j]) ** (0.5)
-            else:
-                # Use arithmetic definition for the pseudo property
-                var_ij = (var_n[i] + var_n[j]) / 2
-            var_mix += X[i] * X[j] * var_ij
-    return var_mix
-
-
-def droplet_volume(r):
-    """
-    Calculate spherical volume of a droplet given the radius.
-
-    :param r: Radius of the droplet in meters.
-    :type r: float
-    :return: Spherical volume of droplet in cubic meters.
-    :rtype: float
-    """
-    return 4.0 / 3.0 * np.pi * r**3
-
-
-def droplet_mass(fuel, r, Yi, T):
-    """
-    Calculate the mass of each compound in the fuel provided the radius of the droplet.
-
-    :param fuel: An instance of the fuel class.
-    :type fuel: fuel object
-    :param r: Radius of the droplet in meters.
-    :type r: float
-    :param Yi: Mass fractions of each compound.
-    :type Yi: np.ndarray
-    :param T: Droplet temperature in Kelvin.
-    :type T: float
-    :return: Mass of each compound in droplet in kg.
-    :rtype: np.ndarray
-    """
-    volume = droplet_volume(r)  # m^3
-    if volume > 0:
-        return volume / (fuel.molar_liquid_vol(T) @ Yi) * Yi * fuel.MW
-    else:
-        return np.zeros_like(fuel.MW)
diff --git a/fuellib/utilities/__init__.py b/fuellib/cli/__init__.py
similarity index 100%
rename from fuellib/utilities/__init__.py
rename to fuellib/cli/__init__.py
diff --git a/fuellib/utilities/fuel_manager.py b/fuellib/cli/_fuel_manager.py
similarity index 100%
rename from fuellib/utilities/fuel_manager.py
rename to fuellib/cli/_fuel_manager.py
diff --git a/fuellib/utilities/plotting.py b/fuellib/cli/plotting.py
similarity index 100%
rename from fuellib/utilities/plotting.py
rename to fuellib/cli/plotting.py
diff --git a/fuellib/utilities/temp_converter.py b/fuellib/cli/temp_converter.py
similarity index 100%
rename from fuellib/utilities/temp_converter.py
rename to fuellib/cli/temp_converter.py
diff --git a/fuellib/utilities/transport_props_converter.py b/fuellib/cli/transport_props_converter.py
similarity index 100%
rename from fuellib/utilities/transport_props_converter.py
rename to fuellib/cli/transport_props_converter.py
diff --git a/fuellib/constants.py b/fuellib/constants.py
new file mode 100644
index 0000000..1dac3e8
--- /dev/null
+++ b/fuellib/constants.py
@@ -0,0 +1,7 @@
+"""Physical constants used in FuelLib calculations."""
+
+# Physical constants
+k_B = 1.380649e-23  # Boltzmann's constant in J/K
+N_A = 6.02214076e23  # Avogadro's number in 1/mol
+
+__all__ = ["k_B", "N_A"]
diff --git a/fuellib/conversions.py b/fuellib/conversions.py
new file mode 100644
index 0000000..a29133b
--- /dev/null
+++ b/fuellib/conversions.py
@@ -0,0 +1,106 @@
+"""Unit conversion functions."""
+
+import numpy as np
+from .constants import k_B, N_A
+
+
+def C2K(T):
+    """
+    Convert temperature from Celsius to Kelvin.
+
+    :param T: Temperature in Celsius.
+    :type T: float or np.ndarray
+    :return: Temperature in Kelvin.
+    :rtype: float or np.ndarray
+    """
+    return T + 273.15
+
+
+def K2C(T):
+    """
+    Convert temperature from Kelvin to Celsius.
+
+    :param T: Temperature in Kelvin.
+    :type T: float or np.ndarray
+    :return: Temperature in Celsius.
+    :rtype: float or np.ndarray
+    """
+    return T - 273.15
+
+
+def C2F(T):
+    """
+    Convert temperature from Celsius to Fahrenheit.
+
+    :param T: Temperature in Celsius.
+    :type T: float or np.ndarray
+    :return: Temperature in Fahrenheit.
+    :rtype: float or np.ndarray
+    """
+    return T * 9 / 5 + 32
+
+
+def F2C(T):
+    """
+    Convert temperature from Fahrenheit to Celsius.
+
+    :param T: Temperature in Fahrenheit.
+    :type T: float or np.ndarray
+    :return: Temperature in Celsius.
+    :rtype: float or np.ndarray
+    """
+    return (T - 32) * 5 / 9
+
+
+def F2K(T):
+    """
+    Convert temperature from Fahrenheit to Kelvin.
+
+    :param T: Temperature in Fahrenheit.
+    :type T: float or np.ndarray
+    :return: Temperature in Kelvin.
+    :rtype: float or np.ndarray
+    """
+    return C2K(F2C(T))
+
+
+def K2F(T):
+    """
+    Convert temperature from Kelvin to Fahrenheit.
+
+    :param T: Temperature in Kelvin.
+    :type T: float or np.ndarray
+    :return: Temperature in Fahrenheit.
+    :rtype: float or np.ndarray
+    """
+    return C2F(K2C(T))
+
+
+def epsilon_to_characteristic_temperature(epsilon_j_per_mol):
+    """
+    Convert Lennard-Jones epsilon from J/mol to characteristic temperature in Kelvin.
+
+    The characteristic temperature (epsilon/k_B) is used in transport property
+    correlations and is required by combustion codes like CHEMKIN.
+
+    Uses the relation: T* = (epsilon_J/mol) / (N_A * k_B)
+
+    :param epsilon_j_per_mol: Lennard-Jones well depth epsilon in J/mol.
+    :type epsilon_j_per_mol: float
+    :return: Characteristic temperature (epsilon/k_B) in Kelvin.
+    :rtype: float
+    """
+    epsilon_per_molecule = epsilon_j_per_mol / N_A
+    lj_welldepth_K = epsilon_per_molecule / k_B
+    return lj_welldepth_K
+
+
+__all__ = [
+    "C2K",
+    "K2C",
+    "C2F",
+    "F2C",
+    "F2K",
+    "K2F",
+    "epsilon_to_characteristic_temperature",
+]
diff --git a/fuellib/fuel.py b/fuellib/fuel.py
new file mode 100644
index 0000000..45d33e7
--- /dev/null
+++ b/fuellib/fuel.py
@@ -0,0 +1,1128 @@
+"""Fuel class for Group Contribution Method calculations."""
+
+import os
+import numpy as np
+import pandas as pd
+from scipy.optimize import curve_fit
+
+from .constants import k_B, N_A
+from .conversions import K2C
+from .utilities import mixing_rule
+from ._data_locator import (
+    get_gcmtable_dir,
+    get_fueldata_dir,
+    get_fueldata_gc_dir,
+    get_fueldata_decomp_dir,
+    get_fueldata_props_dir,
+    get_decomp_name_from_metadata,
+)
+
+
+class fuel:
+    """
+    Class for handling group contribution calculations of thermodynamic and mixture properties.
+
+    :param name: Name of the mixture as it appears in its gcData file.
+    :type name: str
+    :param decompName: Name of the groupDecomposition file if different from name. Defaults to None.
+    :type decompName: str, optional
+    :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
+    :type fuelDataDir: str, optional
+
+    **Data Directory Attributes:**
+
+    :ivar fuelDataDir: Root directory for fuel data (custom or embedded).
+    :ivar fuelDataGcDir: Directory containing GCxGC compositional data files.
+    :ivar fuelDataDecompDir: Directory containing functional group decomposition files.
+    :ivar fuelDataPropsDir: Directory containing experimental property data (may be None).
+
+    **Composition Attributes:**
+
+    :ivar name: Name of the fuel/mixture.
+    :ivar compounds: List of compound names in the mixture.
+    :ivar formulas: Molecular formulas for each compound (if available).
+    :ivar Y_0: Mass fractions of each compound (array, shape: num_compounds).
+    :ivar Nij: Functional group decomposition matrix (array, shape: num_compounds × num_groups).
+    :ivar num_compounds: Number of compounds in the mixture.
+    :ivar num_groups: Number of functional groups in the decomposition.
+
+    **Pure Component Properties (Critical, Molecular):**
+
+    :ivar MW: Molecular weights in kg/mol (array, shape: num_compounds).
+    :ivar Tc: Critical temperatures in K (array, shape: num_compounds).
+    :ivar Pc: Critical pressures in Pa (array, shape: num_compounds).
+    :ivar Vc: Critical volumes in m³/mol (array, shape: num_compounds).
+    :ivar Tb: Boiling temperatures in K (array, shape: num_compounds).
+    :ivar Tm: Melting temperatures in K (array, shape: num_compounds).
+
+    **Thermodynamic Properties (at 298.15 K):**
+
+    :ivar Hf: Enthalpy of formation in J/mol (array, shape: num_compounds).
+    :ivar Gf: Gibbs free energy in J/mol (array, shape: num_compounds).
+    :ivar Hv_stp: Enthalpy of vaporization at 298 K in J/mol (array, shape: num_compounds).
+    :ivar Lv_stp: Latent heat of vaporization at 298 K in J/kg (array, shape: num_compounds).
+    :ivar Cp_stp: Molar specific heat at 298 K in J/mol/K (array, shape: num_compounds).
+    :ivar Vm_stp: Molar liquid volume at 298 K in m³/mol (array, shape: num_compounds).
+    :ivar omega: Acentric factors (array, shape: num_compounds).
+
+    **Lennard-Jones Transport Parameters:**
+
+    :ivar sigma: Lennard-Jones collision diameters in m (array, shape: num_compounds).
+    :ivar epsilonByKB: Lennard-Jones well depths in K (array, shape: num_compounds).
+
+    **Classification Attributes:**
+
+    :ivar hc_type: Hydrocarbon types ("n-alkane", "iso-alkane", "cyclo-alkane", "aromatic", "alkene").
+    :ivar fam: Family codes for thermal conductivity (0: saturated, 1: aromatic, 2: cycloparaffin, 3: olefin).
+    :ivar nC: Carbon numbers (array, shape: num_compounds).
+    :ivar nH: Hydrogen numbers (array, shape: num_compounds).
+
+    **Optional Attributes:**
+
+    :ivar pelephysics_keys: PelePhysics keys for each compound (if available).
+    """
+
+    # Number of first and second order groups from Constantinou and Gani
+    N_g1 = 78
+    N_g2 = 43
+
+    def __init__(self, name, decompName=None, fuelDataDir=None):
+        """
+        Initialize the fuel object and calculate GCM properties.
+
+        :param name: Name of the mixture as it appears in its gcData file.
+        :type name: str
+        :param decompName: Name of the groupDecomposition file if different from name.
+        :type decompName: str, optional
+        :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
+        :type fuelDataDir: str, optional
+        """
+
+        self.name = name
+        if decompName is None:
+            # Try to get decomposition name from metadata
+            decompName = get_decomp_name_from_metadata(name, fuelDataDir)
+
+        # Determine and set data directories for this fuel instance
+        if fuelDataDir is None:
+            # Use built-in embedded data
+            self.fuelDataDir = get_fueldata_dir()
+            self.fuelDataGcDir = get_fueldata_gc_dir()
+            self.fuelDataDecompDir = get_fueldata_decomp_dir()
+            self.fuelDataPropsDir = get_fueldata_props_dir()
+        else:
+            # Validate and use custom fuel directory
+            from ._data_locator import (
+                _validate_fuel_data_dir,
+                _get_props_dir_for_fueldata,
+            )
+
+            _validate_fuel_data_dir(fuelDataDir)
+            self.fuelDataDir = fuelDataDir
+            self.fuelDataGcDir = os.path.join(fuelDataDir, "gcData")
+            self.fuelDataDecompDir = os.path.join(fuelDataDir, "groupDecompositionData")
+            self.fuelDataPropsDir = _get_props_dir_for_fueldata(fuelDataDir)
+
+        # Get GCM table directory (always from built-in data)
+        gcmtable_dir = get_gcmtable_dir()
+
+        self.groupDecompFile = os.path.join(self.fuelDataDecompDir, f"{decompName}.csv")
+        self.gcxgcFile = os.path.join(self.fuelDataGcDir, f"{name}_init.csv")
+        self.gcmTableFile = os.path.join(gcmtable_dir, "gcmTable.csv")
+
+        # Read functional group data for mixture (num_compounds,num_groups)
+        df_Nij = pd.read_csv(self.groupDecompFile)
+        self.Nij = df_Nij.iloc[:, 1:].to_numpy()
+        self.num_compounds = self.Nij.shape[0]
+        self.num_groups = self.Nij.shape[1]
+
+        # Classify hydrocarbon by family (used in thermal conductivity)
+        # 0: saturated hydrocarbons
+        # 1: aromatics
+        # 2: cycloparaffins
+        # 3: olefins
+        self.fam = np.zeros(self.num_compounds, dtype=int)
+
+        # Classify hydrocarbon by type (n-alkane, iso-alkane, cyclo-alkane, aromatic)
+        # Based on group decompositions from Constantinou-Gani method
+        self.hc_type = np.array([""] * self.num_compounds, dtype=object)
+
+        aromatics = 10  # starting index for aromatic groups
+        num_aromatics = 5
+        branching = 78  # starting index for branching groups (Group j (CH3)2CH through C(CH3)2C(CH3)2)
+        num_branching = 5  # groups 78-82 inclusive
+        cyclos = 83  # starting index for membered ring groups (3-7 membered rings)
+        num_cyclos = 5
+        olefins = 4  # starting index for double bound groups
+        num_olefins = 6
+
+        for i in range(self.num_compounds):
+            # Check if aromatic: does it contain AC's?
+            if sum(self.Nij[i, aromatics : aromatics + num_aromatics]) > 0:
+                self.fam[i] = 1
+                self.hc_type[i] = "aromatic"
+            # Check if cycloparaffin: does it contain rings?
+            elif sum(self.Nij[i, cyclos : cyclos + num_cyclos]) > 0:
+                self.fam[i] = 2
+                self.hc_type[i] = "cyclo-alkane"
+            # Check if olefin: does it contain double bonds?
+            elif sum(self.Nij[i, olefins : olefins + num_olefins]) > 0:
+                self.fam[i] = 3
+                self.hc_type[i] = "alkene"
+            # Check for branching groups (CH, C quaternary carbons)
+            elif sum(self.Nij[i, branching : branching + num_branching]) > 0:
+                self.hc_type[i] = "iso-alkane"
+            else:
+                # Only CH3 and CH2 -> n-alkane (linear)
+                self.hc_type[i] = "n-alkane"
+
+        # Calculate carbon and hydrogen numbers from first-order group decomposition
+        # For jet fuels, use only alkyl (0-3) and aromatic (10-14) groups
+        # Alkyl: CH3=1C,3H; CH2=1C,2H; CH=1C,1H; C=1C,0H
+        # Aromatic: ACH=1C,1H; AC=1C,0H; ACCH3=2C,3H; ACCH2=2C,2H; ACCH=2C,1H
+        alkyl_carbons = np.array([1, 1, 1, 1])  # groups 0-3
+        alkyl_hydrogens = np.array([3, 2, 1, 0])
+        # Olefinic: group 4 appears to represent 2 carbons with 3 hydrogens in UNIFAC-based system
+        olefinic_carbons = np.array([2, 1, 1, 0, 0, 0])  # groups 4-9
+        olefinic_hydrogens = np.array([3, 1, 0, 0, 0, 0])
+        aromatic_carbons = np.array([1, 1, 2, 2, 2])  # groups 10-14
+        aromatic_hydrogens = np.array([1, 0, 3, 2, 1])
+
+        self.nC = np.zeros(self.num_compounds, dtype=float)
+        self.nH = np.zeros(self.num_compounds, dtype=float)
+        for i in range(self.num_compounds):
+            # Alkyl contribution (groups 0-3)
+            self.nC[i] = np.dot(self.Nij[i, 0:4], alkyl_carbons)
+            self.nH[i] = np.dot(self.Nij[i, 0:4], alkyl_hydrogens)
+            # Olefinic contribution (groups 4-9)
+            self.nC[i] += np.dot(self.Nij[i, 4:10], olefinic_carbons)
+            self.nH[i] += np.dot(self.Nij[i, 4:10], olefinic_hydrogens)
+            # Aromatic contribution (groups 10-14)
+            self.nC[i] += np.dot(self.Nij[i, 10:15], aromatic_carbons)
+            self.nH[i] += np.dot(self.Nij[i, 10:15], aromatic_hydrogens)
+
+        # Read GCxGC/compound data
+        df_gcxgc = pd.read_csv(self.gcxgcFile)
+
+        self.compounds = [
+            compound.strip() for compound in df_gcxgc["Compound"].to_list()
+        ]
+
+        # Load molecular formulas if available
+        if "Formula" in df_gcxgc.columns:
+            self.formulas = [
+                formula.strip() if pd.notna(formula) else None
+                for formula in df_gcxgc["Formula"].to_list()
+            ]
+        else:
+            self.formulas = None
+
+        if "PelePhysics Key" in df_gcxgc.columns:
+            self.pelephysics_keys = [
+                key.strip() for key in df_gcxgc["PelePhysics Key"].to_list()
+            ]
+        else:
+            self.pelephysics_keys = None
+
+        self.Y_0 = df_gcxgc["Weight %"].to_numpy().flatten().astype(float)
+        self.Y_0 /= np.sum(self.Y_0)
+
+        # Make sure mixture data is consistent:
+        if self.num_groups < self.N_g1:
+            raise ValueError(
+                f"Insufficient mixture description:\n"
+                f"The number of columns in {self.groupDecompFile} is less than "
+                f"the required number of first-order groups (N_g1 = {self.N_g1})."
+            )
+        if self.Y_0.shape[0] != self.num_compounds:
+            raise ValueError(
+                f"Insufficient mixture description:\n"
+                f"The number of compounds in {self.groupDecompFile} does not "
+                f"equal the number of compounds in {self.gcxgcFile}."
+            )
+
+        # Read and store GCM table properties
+        df_table = pd.read_csv(self.gcmTableFile)
+        df_table = df_table.drop(columns=["Units"])
+
+        def get_row(property_name):
+            """
+            Get property row from GCM table.
+
+            :param property_name: Name of the property to retrieve.
+            :type property_name: str
+            :return: Property values for all functional groups.
+            :rtype: np.ndarray
+            :raises ValueError: If property not found in GCM table.
+            """
+            row = df_table[df_table["Property"] == property_name]
+            if row.empty:
+                raise ValueError(f"Property '{property_name}' not found in GCM table.")
+            return row.iloc[:, 1:].to_numpy().flatten()
+
+        # Table data for functional groups (num_compounds,)
+        Tck = get_row("tck")  # critical temperature (1)
+        Pck = get_row("pck")  # critical pressure (bar)
+        Vck = get_row("vck")  # critical volume (m^3/kmol)
+        Tbk = get_row("tbk")  # boiling temperature (1)
+        Tmk = get_row("tmk")  # melting point temperature (1)
+        hfk = get_row("hfk")  # enthalpy of formation, (kJ/mol)
+        gfk = get_row("gfk")  # Gibbs energy (kJ/mol)
+        hvk = get_row("hvk")  # latent heat of vaporization (kJ/mol)
+        wk = get_row("wk")  # accentric factor (1)
+        Vmk = get_row("vmk")  # liquid molar volume fraction (m^3/kmol)
+        cpak = get_row("CpAk")  # specific heat values (J/mol/K)
+        cpbk = get_row("CpBk")  # specific heat values (J/mol/K)
+        cpck = get_row("CpCk")  # specific heat values (J/mol/K)
+        mwk = get_row("MW")  # molecular weights (g/mol)
+
+        # --- Compute critical properties at standard temp (num_compounds,)
+        # Molecular weights
+        self.MW = np.matmul(self.Nij, mwk)  # g/mol
+        self.MW *= 1e-3  # Convert to kg/mol
+
+        # T_c (critical temperature)
+        self.Tc = 181.128 * np.log(np.matmul(self.Nij, Tck))  # K
+
+        # p_c (critical pressure)
+        self.Pc = 1.3705 + (np.matmul(self.Nij, Pck) + 0.10022) ** (-2)  # bar
+        self.Pc *= 1e5  # Convert to Pa from bar
+
+        # V_c (critical volume)
+        self.Vc = -0.00435 + (np.matmul(self.Nij, Vck))  # m^3/kmol
+        self.Vc *= 1e-3  # Convert to m^3/mol
+
+        # T_b (boiling temperature)
+        self.Tb = 204.359 * np.log(np.matmul(self.Nij, Tbk))  # K
+
+        # T_m (melting temperature)
+        self.Tm = 102.425 * np.log(np.matmul(self.Nij, Tmk))  # K
+
+        # H_f (enthalpy of formation)
+        self.Hf = 10.835 + np.matmul(self.Nij, hfk)  # kJ/mol
+        self.Hf *= 1e3  # Convert to J/mol
+
+        # G_f (Gibbs free energy)
+        self.Gf = -14.828 + np.matmul(self.Nij, gfk)  # kJ/mol
+        self.Gf *= 1e3  # Convert to J/mol
+
+        # H_v,stp (enthalpy of vaporization at 298 K)
+        self.Hv_stp = 6.829 + (np.matmul(self.Nij, hvk))  # kJ/mol
+        self.Hv_stp *= 1e3  # Convert to J/mol
+
+        # omega (accentric factor)
+        self.omega = 0.4085 * np.log(np.matmul(self.Nij, wk) + 1.1507) ** (1.0 / 0.5050)
+
+        # V_m (molar liquid volume at 298 K)
+        self.Vm_stp = 0.01211 + np.matmul(self.Nij, Vmk)  # m^3/kmol
+        self.Vm_stp *= 1e-3  # Convert to m^3/mol
+
+        # C_p,stp (molar specific heat at 298 K)
+        self.Cp_stp = np.matmul(self.Nij, cpak) - 19.7779  # J/mol/K
+
+        # Temperature corrections for C_p
+        self.Cp_B = np.matmul(self.Nij, cpbk)
+        self.Cp_C = np.matmul(self.Nij, cpck)
+
+        # L_v,stp (latent heat of vaporization at 298 K)
+        self.Lv_stp = self.Hv_stp / self.MW  # J/kg
+
+        # Lennard-Jones parameters for diffusion calculations (Tee et al. 1966)
+        self.epsilonByKB = (0.7915 + 0.1693 * self.omega) * self.Tc  # K
+        Pc_atm = self.Pc / 101325  # atm
+        self.sigma = (2.3551 - 0.0874 * self.omega) * (self.Tc / Pc_atm) ** (
+            1.0 / 3
+        )  # Angstroms
+        self.sigma *= 1e-10  # Convert from Angstroms to m
+
+    # -------------------------------------------------------------------------
+    # Member functions
+    # -------------------------------------------------------------------------
+    def mean_molecular_weight(self, Yi):
+        """
+        Calculate the mean molecular weight of the mixture.
+
+        :param Yi: Mass fractions of each compound.
+        :type Yi: np.ndarray
+        :return: Mean molecular weight of the mixture in kg/mol.
+        :rtype: float
+        """
+        if np.sum(Yi) != 0:
+            Mbar = 1 / np.sum(Yi / self.MW)  # mean molar weight of the mixture
+        else:
+            Mbar = 0.0
+
+        return Mbar
+
+    def mass2Y(self, mass):
+        """
+        Calculate the mass fractions from the mass of each component.
+
+        :param mass: Mass of each compound.
+        :type mass: np.ndarray
+        :return: Mass fractions of the compounds (shape: num_compounds,).
+        :rtype: np.ndarray
+        """
+        # Normalize to get group mole fractions
+        total_mass = np.sum(mass)
+        if total_mass != 0:
+            Yi = mass / total_mass
+        else:
+            Yi = np.zeros_like(self.MW)
+
+        return Yi
+
+    def mass2X(self, mass):
+        """
+        Calculate the mole fractions from the mass of each component.
+
+        :param mass: Mass of each compound.
+        :type mass: np.ndarray
+        :return: Mass fractions of the compounds (shape: num_compounds,).
+        :rtype: np.ndarray
+        """
+        # Calculate the number of moles for each compound
+        num_mole = mass / self.MW
+
+        # Normalize to get group mole fractions
+        total_moles = np.sum(num_mole)
+        if total_moles != 0:
+            Xi = num_mole / total_moles
+        else:
+            Xi = np.zeros_like(self.MW)
+
+        return Xi
+
+    def X2Y(self, Xi):
+        """
+        Calculate the mass fractions from the mole fractions of each component.
+
+        :param Xi: Mole fractions of each compound.
+        :type Xi: np.ndarray
+        :return: Mass fractions of the compounds (shape: num_compounds,).
+        :rtype: np.ndarray
+        """
+        # Calculate the mass for each compound
+        mass = Xi * self.MW
+
+        # Normalize to get group mass fractions
+        total_mass = np.sum(mass)
+        if total_mass != 0:
+            Yi = mass / total_mass
+        else:
+            Yi = np.zeros_like(self.MW)
+
+        return Yi
+
+    def Y2X(self, Yi):
+        """
+        Calculate the mole fractions from the mass fractions of each component.
+
+        :param Yi: Mass fractions of each compound.
+        :type Yi: np.ndarray
+        :return: Mole fractions of the compounds (shape: num_compounds,).
+        :rtype: np.ndarray
+        """
+        Mbar = self.mean_molecular_weight(Yi)
+        if np.sum(Yi) != 0:
+            Xi = Mbar * Yi / self.MW
+        else:
+            Xi = np.zeros_like(self.MW)
+
+        return Xi
+
+    def density(self, T, comp_idx=None):
+        """
+        Calculate the density of each component at temperature T.
+
+        :param T: Temperature of the mixture in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Density of each compound in kg/m^3.
+        :rtype: np.ndarray
+        """
+        if comp_idx is None:
+            MW = self.MW  # kg/mol
+            Vm = self.molar_liquid_vol(T)  # m^3/mol
+        else:
+            MW = self.MW[comp_idx]  # kg/mol
+            Vm = self.molar_liquid_vol(T, comp_idx=comp_idx)  # m^3/mol
+
+        rho = MW / Vm  # kg/m^3
+        return rho
+
+    def viscosity_kinematic(self, T, comp_idx=None):
+        """
+        Calculate the viscosity using Dutt's equation.
+
+        :meta private: This uses Dutt's equation (4.23) from "Viscosity of Liquids".
+        :meta private: The equation predicts viscosity in mm^2/s and is converted to SI units.
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Viscosity of each component in m^2/s.
+        :rtype: np.ndarray
+        """
+
+        # Convert temperature to Celsius
+        T_cels = K2C(T)
+        if comp_idx is None:
+            Tb_cels = K2C(self.Tb)
+        else:
+            Tb_cels = K2C(self.Tb[comp_idx])
+
+        # RHS of Dutt's equation (4.23) in Viscosity of Liquids
+        rhs = -3.0171 + (442.78 + 1.6452 * Tb_cels) / (T_cels + 239 - 0.19 * Tb_cels)
+        nu_i = np.exp(rhs)  # Viscosity in mm^2/s
+
+        # Convert to SI (m^2/s)
+        nu_i = nu_i * 1e-6
+
+        return nu_i
+
+    def viscosity_dynamic(self, T, comp_idx=None):
+        """
+        Calculate liquid dynamic viscosity based on droplet temperature and density.
+
+        :meta private: Uses Dutt's equation (4.23) for kinematic viscosity, combined with density.
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Dynamic viscosity in Pa*s.
+        :rtype: np.ndarray
+        """
+
+        nu_i = self.viscosity_kinematic(T, comp_idx=comp_idx)  # m^2/s
+        rho_i = self.density(T, comp_idx=comp_idx)  # kg/m^3
+        mu_i = nu_i * rho_i  # Pa*s
+        return mu_i
+
+    def Cp(self, T, comp_idx=None):
+        """
+        Compute molar specific heat capacity at a given temperature.
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Molar specific heat capacity in J/mol/K.
+        :rtype: np.ndarray
+        """
+
+        theta = (T - 298) / 700
+        if comp_idx is None:
+            Cp_stp = self.Cp_stp
+            Cp_B = self.Cp_B
+            Cp_C = self.Cp_C
+        else:
+            Cp_stp = self.Cp_stp[comp_idx]
+            Cp_B = self.Cp_B[comp_idx]
+            Cp_C = self.Cp_C[comp_idx]
+
+        cp = Cp_stp + Cp_B * theta + Cp_C * theta**2
+
+        return cp
+
+    def Cl(self, T, comp_idx=None):
+        """
+        Compute liquid mass specific heat capacity in J/kg/K at a given temperature.
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Mass specific heat capacity in J/kg/K.
+        :rtype: np.ndarray
+        """
+        if comp_idx is None:
+            MW = self.MW
+        else:
+            MW = self.MW[comp_idx]
+        cp = self.Cp(T, comp_idx=comp_idx)
+        return cp / MW
+
+    def psat(self, T, comp_idx=None, correlation="Lee-Kesler"):
+        """
+        Compute saturated vapor pressure.
+
+        :meta private: Can use Ambrose-Walton or Lee-Kesler correlations (default Lee-Kesler).
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
+        :type correlation: str, optional
+        :return: Saturated vapor pressure in Pa.
+        :rtype: np.ndarray
+        """
+
+        if comp_idx is None:
+            Tr = T / self.Tc
+            Pc = self.Pc
+            omega = self.omega
+        else:
+            Tr = T / self.Tc[comp_idx]
+            Pc = self.Pc[comp_idx]
+            omega = self.omega[comp_idx]
+
+        if correlation.casefold() == "Ambrose-Walton".casefold():
+            # May cause trouble at high temperatures
+            tau = 1 - Tr
+            f0 = (
+                -5.97616 * tau
+                + 1.29874 * tau**1.5
+                - 0.60394 * tau**2.5
+                - 1.06841 * tau**5.0
+            )
+            f0 /= Tr
+            f1 = (
+                -5.03365 * tau
+                + 1.11505 * tau**1.5
+                - 5.41217 * tau**2.5
+                - 7.46628 * tau**5.0
+            )
+            f1 /= Tr
+            f2 = (
+                -0.64771 * tau
+                + 2.41539 * tau**1.5
+                - 4.26979 * tau**2.5
+                - 3.25259 * tau**5.0
+            )
+            f2 /= Tr
+            rhs = np.exp(f0 + omega * f1 + omega**2 * f2)
+
+        else:  # Default correlation is Lee-Kesler
+            f0 = 5.92714 - (6.09648 / Tr) - 1.28862 * np.log(Tr) + 0.169347 * (Tr**6)
+            f1 = 15.2518 - (15.6875 / Tr) - 13.4721 * np.log(Tr) + 0.43577 * (Tr**6)
+            rhs = np.exp(f0 + omega * f1)
+
+        psat = Pc * rhs
+        return psat
+
+    def psat_antoine_coeffs(self, Tvals=None, units="mks", correlation="Lee-Kesler"):
+        """
+        Estimate Antoine coefficients for vapor pressure of an individual compound.
+
+        :param Tvals: Temperature range or nodes for Antoine fit in Kelvin (default [273.15, Tb_i]).
+        :type Tvals: np.ndarray, optional
+        :param units: Units for pressure in fit ("mks", "cgs", "bar", "atm")
+        :type units: str, optional
+        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
+        :type correlation: str, optional
+        :return: Coefficients A, B, C, D
+        :rtype: 4 np.ndarrays
+        """
+
+        # Define or get temperature nodes for fit
+        if Tvals is None:
+            print("Tvals not specified, using [273.15, Tb_i] for each compound.")
+            # Initialize as zeros for now, calculated for each compound later
+            T = np.zeros(20)
+        elif len(Tvals) == 2:
+            T = np.linspace(Tvals[0], Tvals[1], 20)
+        elif len(Tvals) > 2:
+            T = Tvals
+        else:
+            raise ValueError("Tvals must be None, length 2, or length > 2.")
+
+        # Antoine equation log10(p) = A - B/(C + T)
+        def antoine_eq(T, A, B, C):
+            """Antoine equation for vapor pressure."""
+            return A - B / (T + C)
+
+        # Determine conversion factor for pressure in MKS, CGS, bar, or atm
+        D = 1  # default is Pa
+        if units.lower() == "bar":
+            D = 1e5
+        elif units.lower() == "atm":
+            D = 1.01325e5
+        elif units.lower() == "cgs":
+            D = 1 / 10  # dyne/cm^2
+
+        # Fit Antoine coefficients for each compound
+        A = np.zeros(self.num_compounds)
+        B = np.zeros(self.num_compounds)
+        C = np.zeros(self.num_compounds)
+        for i in range(self.num_compounds):
+            # Update T if not specified
+            if Tvals is None:
+                T = np.linspace(273.15, self.Tb[i], 20)
+            Pvals = np.zeros_like(T)
+            for k in range(len(T)):
+                Pvals[k] = 1 / D * self.psat(T[k], correlation=correlation)[i]
+
+            logP = np.log10(Pvals)
+            popt, _ = curve_fit(antoine_eq, T, logP, p0=[1, 1e3, -1])
+            A[i], B[i], C[i] = popt
+        D = D + np.zeros(self.num_compounds)  # make D an array
+        return A, B, C, D
+
+    def molar_liquid_vol(self, T, comp_idx=None):
+        """
+        Compute molar liquid volume with temperature correction.
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Molar liquid volume in m^3/mol.
+        :rtype: np.ndarray
+        """
+
+        Tstp = 298.0
+        if comp_idx is None:
+            Tc = self.Tc
+            omega = self.omega
+            Vm_stp = self.Vm_stp
+        else:
+            Tc = np.array([self.Tc[comp_idx]])
+            omega = np.array([self.omega[comp_idx]])
+            Vm_stp = np.array([self.Vm_stp[comp_idx]])
+        phi = np.zeros_like(Tc)
+        for i in range(len(Tc)):
+            if T > Tc[i]:
+                phi[i] = -((1 - (Tstp / Tc[i])) ** (2.0 / 7.0))
+            else:
+                phi[i] = ((1 - (T / Tc[i])) ** (2.0 / 7.0)) - (
+                    (1 - (Tstp / Tc[i])) ** (2.0 / 7.0)
+                )
+        z = 0.29056 - 0.08775 * omega
+        Vmi = Vm_stp * np.power(z, phi)
+        if comp_idx is not None:
+            Vmi = Vmi[0]
+        return Vmi
+
+    def latent_heat_vaporization(self, T, comp_idx=None):
+        """
+        Calculate latent heat of vaporization adjusted for temperature.
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Latent heat of vaporization in J/kg.
+        :rtype: np.ndarray
+        """
+        if comp_idx is None:
+            Tc = self.Tc
+            Tb = self.Tb
+            Lv_stp = self.Lv_stp
+        else:
+            Tc = np.array([self.Tc[comp_idx]])
+            Tb = np.array([self.Tb[comp_idx]])
+            Lv_stp = np.array([self.Lv_stp[comp_idx]])
+
+        # Reduced temperatures
+        Tr = T / Tc
+        Trb = Tb / Tc
+
+        Lvi = np.zeros_like(Tc)
+        for i in range(len(Tc)):
+            if T > Tc[i]:
+                Lvi[i] = 0.0
+            else:
+                Lvi[i] = Lv_stp[i] * (((1.0 - Tr[i]) / (1.0 - Trb[i])) ** 0.38)
+
+        if comp_idx is not None:
+            Lvi = Lvi[0]
+        return Lvi
+
+    def diffusion_coeff(
+        self,
+        p,
+        T,
+        sigma_gas=3.62e-10,
+        epsilonByKB_gas=97.0,
+        MW_gas=28.97e-3,
+        correlation="Tee",
+    ):
+        """
+        Compute diffusion coefficients using Lennard-Jones parameters.
+
+        :meta private: Uses Wilke and Lee method (Poling, equation 11-4.1).
+        :meta private: Ambient gas defaults to air parameters.
+
+        :param p: Pressure in Pa.
+        :type p: float
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param sigma_gas: Collision diameter in m.
+        :type sigma_gas: float, optional
+        :param epsilonByKB_gas: Well depth over Boltzmann constant, in K.
+        :type epsilonByKB_gas: float, optional
+        :param MW_gas: Mean molecular weight of ambient gas in kg/mol.
+        :type MW_gas: float, optional
+        :param correlation: Method to calculate sigma and epsilon ("Tee" or "Wilke").
+        :type correlation: str, optional
+        :return: Diffusion coefficient.
+        :rtype: np.ndarray
+        """
+
+        # Method of Tee for calculating liquid sigma and epsilon
+        if correlation.casefold() == "Tee".casefold():
+            sigma_i = self.sigma * 1e10  # convert from m to Angstroms
+            epsilonByKB_i = self.epsilonByKB  # K
+        else:
+            # Method of Wilke & Lee calculating liquid sigma and epsilon
+            Vmb_i = np.zeros_like(self.Tb)
+            for n in range(self.num_compounds):
+                Vmb_i[n] = self.molar_liquid_vol(self.Tb[n])[n] * 1e6  # cm^3/mol
+            sigma_i = 1.18 * Vmb_i ** (1 / 3)  # Angstroms, Poling (11-4.2)
+            epsilonByKB_i = 1.15 * self.Tb  # K , Poling (11-4.3)
+
+        # Compute binary sigma and epsilon
+        sigma_gas = sigma_gas * 1e10  # convert from m to Angstroms
+        sigmaAB_i = (sigma_gas + sigma_i) / 2  # Angstroms, Poling (11-3.5)
+        epsilonAB_byKB_i = (
+            epsilonByKB_gas * epsilonByKB_i
+        ) ** 0.5  # K, Poling (11-3.4)
+
+        # Dimensionless collision integral for diffusion: Poling (11-3.6)
+        Tstar_i = T / epsilonAB_byKB_i  # [1]
+        A = 1.06036
+        B = 0.15610
+        C = 0.193
+        D = 0.47635
+        E = 1.03587
+        F = 1.52996
+        G = 1.76474
+        H = 3.89411
+        omegaD_i = (
+            A / (Tstar_i**B)
+            + C / np.exp(D * Tstar_i)
+            + E / np.exp(F * Tstar_i)
+            + G / np.exp(H * Tstar_i)
+        )
+
+        # Convert molecular weights from kg/mol to g/mol then calculate M_AB
+        MW_gas = MW_gas * 1e3
+        MW_i = self.MW * 1e3
+        M_AB_i = 2 * (MW_i * MW_gas) / (MW_i + MW_gas)  # g/mol, see Poling (11-3.1)
+
+        # Convert pressure from Pa to bar
+        p = p * 1e-5  # bar
+
+        # Binary diffusion coefficients, Poling (11-4.1)
+        D_AB_i = (
+            1e-3
+            * (3.03 - 0.98 / (M_AB_i**0.5))
+            * (T**1.5)
+            / (p * M_AB_i**0.5 * sigmaAB_i**2 * omegaD_i)
+        )  # cm^2/s
+        D_AB_i = D_AB_i * 1e-4  # Convert to m^2/s
+
+        return D_AB_i
+
+    def surface_tension(self, T, comp_idx=None, correlation="Brock-Bird"):
+        """
+        Calculate surface tension of each compound at a given temperature.
+
+        :meta private: Uses Brock-Bird (default) or Pitzer correlations (Poling 12-3.5, 12-3.7).
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :param correlation: Correlation method ("Brock-Bird" or "Pitzer").
+        :type correlation: str, optional
+        :return: Surface tension in N/m.
+        :rtype: np.ndarray
+        """
+        if comp_idx is None:
+            Tc = self.Tc
+            Pc = self.Pc
+            Tb = self.Tb
+            omega = self.omega
+        else:
+            Tc = np.array([self.Tc[comp_idx]])
+            Pc = np.array([self.Pc[comp_idx]])
+            Tb = np.array([self.Tb[comp_idx]])
+            omega = np.array([self.omega[comp_idx]])
+        Tr = T / Tc
+        Pc = Pc * 1e-5  # convert from Pa to bar
+
+        if correlation.casefold() == "Brock-Bird".casefold():
+            Tbr = Tb / Tc
+            Q = 0.1196 * (1.0 + (Tbr * np.log(Pc / 1.01325)) / (1.0 - Tbr)) - 0.279
+        else:
+            w = omega
+            Q = (
+                (1.86 + 1.18 * w)
+                / 19.05
+                * (((3.75 + 0.91 * w) / (0.291 - 0.08 * w)) ** (2.0 / 3.0))
+            )
+
+        st = Pc ** (2.0 / 3.0) * Tc ** (1.0 / 3.0) * Q * (1 - Tr) ** (11.0 / 9.0)
+
+        st = st * 1e-3  # Convert from dyn/cm to N/m
+        if comp_idx is not None:
+            st = st[0]
+
+        return st
+
+    def thermal_conductivity(self, T, comp_idx=None):
+        """
+        Calculate thermal conductivity at a given temperature.
+
+        :meta private: Uses Latini et al. method (Poling equation 10-9.1).
+
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param comp_idx: Index of compound to calculate property for.
+        :type comp_idx: int, optional
+        :return: Thermal conductivity in W/m/K.
+        :rtype: np.ndarray
+        """
+        if comp_idx is None:
+            MW = self.MW
+            Tc = self.Tc
+            Tb = self.Tb
+            fam = self.fam
+        else:
+            MW = np.array([self.MW[comp_idx]])
+            Tc = np.array([self.Tc[comp_idx]])
+            Tb = np.array([self.Tb[comp_idx]])
+            fam = np.array([self.fam[comp_idx]])
+
+        Astar = 0.00350 + np.zeros_like(Tc)
+        alpha = 1.2
+        beta = 0.5 + np.zeros_like(Tc)
+        gamma = 0.167
+        MW_beta = MW * 1e3  # convert from kg/mol to g/mol
+        Tr = T / Tc
+
+        for i in range(len(Tc)):
+            if fam[i] == 1:
+                # Aromatics
+                Astar[i] = 0.0346
+                beta[i] = 1.0
+            elif fam[i] == 2:
+                # Cycloparaffins
+                Astar[i] = 0.0310
+                beta[i] = 1.0
+            elif fam[i] == 3:
+                # Olefins
+                Astar[i] = 0.0361
+                beta[i] = 1.0
+            MW_beta[i] = MW_beta[i] ** beta[i]
+
+        A = Astar * Tb**alpha / (MW_beta * Tc**gamma)
+        tc = A * (1 - Tr) ** (0.38) / (Tr ** (1 / 6))
+
+        if comp_idx is not None:
+            tc = tc[0]
+        return tc
+
+    # --- Mixture functions ---
+    def mixture_density(self, Yi, T):
+        """
+        Calculate mixture density at a given temperature.
+
+        :param Yi: Mass fractions of each compound.
+        :type Yi: np.ndarray
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :return: Mixture density in kg/m^3.
+        :rtype: float
+        """
+        MW = self.MW  # Molecular weights of each component (kg/mol)
+        Vmi = self.molar_liquid_vol(T)  # Molar volume of each component (m^3/mol)
+
+        # Calculate density (kg/m^3)
+        rho = Yi @ (MW / Vmi)
+
+        return rho
+
+    def mixture_kinematic_viscosity(self, Yi, T, correlation="Kendall-Monroe"):
+        """
+        Calculate kinematic viscosity of the mixture.
+
+        :meta private: Uses Kendall-Monroe (default) or Arrhenius mixing correlations.
+
+        :param Yi: Mass fractions of each compound.
+        :type Yi: np.ndarray
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param correlation: Mixing model ("Kendall-Monroe" or "Arrhenius").
+        :type correlation: str, optional
+        :return: Mixture kinematic viscosity in m^2/s.
+        :rtype: float
+        """
+        nu_i = self.viscosity_kinematic(T)  # Viscosities of individual components
+
+        # Calculate mole fractions for each species
+        Xi = self.Y2X(Yi)
+
+        if correlation.casefold() == "Arrhenius".casefold():
+            # Arrhenius mixing correlation
+            nu = np.exp(np.sum(Xi * np.log(nu_i)))
+        else:
+            # Default: Kendall-Monroe mixing correlation
+            nu = np.sum(Xi * (nu_i ** (1.0 / 3.0))) ** (3.0)
+
+        return nu
+
+    def mixture_dynamic_viscosity(self, Yi, T, correlation="Kendall-Monroe"):
+        """
+        Calculate dynamic viscosity of the mixture.
+
+        :param Yi: Mass fractions of each compound.
+        :type Yi: np.ndarray
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param correlation: Mixing model ("Kendall-Monroe" or "Arrhenius").
+        :type correlation: str, optional
+        :return: Mixture dynamic viscosity in Pa*s.
+        :rtype: float
+        """
+
+        nu = self.mixture_kinematic_viscosity(Yi, T, correlation=correlation)
+        rho = self.mixture_density(Yi, T)
+
+        return rho * nu
+
+    def mixture_vapor_pressure(self, Yi, T, correlation="Lee-Kesler"):
+        """
+        Calculate vapor pressure of the mixture.
+
+        :param Yi: Mass fractions of each compound in the mixture.
+        :type Yi: np.ndarray
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
+        :type correlation: str, optional
+        :return: Mixture vapor pressure in Pa.
+        :rtype: float
+        """
+
+        # Mole fraction for each compound
+        Xi = self.Y2X(Yi)
+
+        # Saturated vapor pressure for each compound (Pa)
+        p_sati = self.psat(T, correlation=correlation)
+
+        # Mixture vapor pressure via Raoult's law
+        p_v = p_sati @ Xi
+
+        return p_v
+
+    def mixture_vapor_pressure_antoine_coeffs(
+        self, Yi, Tvals=None, units="mks", correlation="Lee-Kesler"
+    ):
+        """
+        Estimate Antoine coefficients for vapor pressure of the mixture.
+
+        :param Yi: Mass fractions of each compound in the mixture.
+        :type Yi: np.ndarray
+        :param Tvals: Temperature range or nodes for Antoine fit in Kelvin (default [273.15, min(Tb)]).
+        :type Tvals: np.ndarray, optional
+        :param units: Units for pressure in fit ("mks", "cgs", "bar", "atm")
+        :type units: str, optional
+        :param correlation: Correlation method ("Ambrose-Walton" or "Lee-Kesler").
+        :type correlation: str, optional
+        :return: Coefficients A, B, C, D
+        :rtype: float
+        """
+
+        # Define or get temperature nodes for fit
+        if Tvals is None:
+            print("Tvals not specified, using [273.15, min(Tb_mix)] for mixture.")
+            # Initialize as zeros for now, calculated for each compound later
+            X = self.Y2X(Yi)
+            Tb = mixing_rule(self.Tb, X)
+            T = np.linspace(273.15, np.min(Tb), 20)
+        elif len(Tvals) == 2:
+            T = np.linspace(Tvals[0], Tvals[1], 20)
+        elif len(Tvals) > 2:
+            T = Tvals
+        else:
+            raise ValueError("Tvals must be None, length 2, or length > 2.")
+
+        # Antoine equation log10(p) = A - B/(C + T)
+        def antoine_eq(T, A, B, C):
+            """
+            Antoine equation for vapor pressure.
+
+            :param T: Temperature.
+            :type T: float or np.ndarray
+            :param A: Antoine coefficient A.
+            :type A: float
+            :param B: Antoine coefficient B.
+            :type B: float
+            :param C: Antoine coefficient C.
+            :type C: float
+            :return: log10(pressure).
+            :rtype: float or np.ndarray
+            """
+            return A - B / (T + C)
+
+        # Determine conversion factor for pressure in MKS, CGS, bar, or atm
+        D = 1  # default is Pa
+        if units.lower() == "bar":
+            D = 1e5
+        elif units.lower() == "atm":
+            D = 1.01325e5
+        elif units.lower() == "cgs":
+            D = 1 / 10  # dyne/cm^2
+
+        Pvals = np.zeros_like(T)
+        for k in range(len(T)):
+            Pvals[k] = (
+                self.mixture_vapor_pressure(Yi, T[k], correlation=correlation) / D
+            )
+
+        logP = np.log10(Pvals)
+        popt, _ = curve_fit(antoine_eq, T, logP, p0=[1, 1e3, -1])  # initial guess
+        A, B, C = popt
+
+        return A, B, C, D
+
+    def mixture_surface_tension(self, Yi, T, correlation="Brock-Bird"):
+        """
+        Calculate surface tension of the mixture.
+
+        :meta private: Uses arithmetic pseudo-property method recommended by Hugill and van Welsenes (1986).
+
+        :param Yi: Mass fractions of each compound in the mixture.
+        :type Yi: np.ndarray
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :param correlation: Correlation method ("Pitzer" or "Brock-Bird").
+        :type correlation: str, optional
+        :return: Mixture surface tension in N/m.
+        :rtype: float
+        """
+
+        # Mole fraction for each compound
+        Xi = self.Y2X(Yi)
+
+        # Surface tension for each compound (N/m)
+        sti = self.surface_tension(T, correlation=correlation)
+
+        # Mixture surface tension via arithmetic mean, Poling (12-5.2)
+        st = mixing_rule(sti, Xi, "arithmetic")
+
+        return st
+
+    def mixture_thermal_conductivity(self, Yi, T):
+        """
+        Calculate thermal conductivity of the mixture.
+
+        :param Yi: Mass fractions of each compound in the mixture.
+        :type Yi: np.ndarray
+        :param T: Temperature in Kelvin.
+        :type T: float
+        :return: Thermal conductivity in W/m/K.
+        :rtype: float
+        """
+        tc = self.thermal_conductivity(T)
+        return np.sum(Yi * tc ** (-2)) ** (-0.5)
+
+
+__all__ = ["fuel"]
diff --git a/fuellib/utilities.py b/fuellib/utilities.py
new file mode 100644
index 0000000..3fc0ea8
--- /dev/null
+++ b/fuellib/utilities.py
@@ -0,0 +1,67 @@
+"""Utility functions for mixture calculations and droplet properties."""
+
+import numpy as np
+
+
+def mixing_rule(var_n, X, pseudo_prop="arithmetic"):
+    """
+    Mixing rules for computing mixture properties.
+
+    :param var_n: Individual compound properties.
+    :type var_n: np.ndarray
+    :param X: Mole fractions of the compounds.
+    :type X: np.ndarray
+    :param pseudo_prop: Type of mean ("arithmetic" or "geometric").
+    :type pseudo_prop: str, optional
+    :return: Mixture property value.
+    :rtype: float
+    """
+    num_comps = len(var_n)
+    var_mix = 0.0
+    for i in range(num_comps):
+        for j in range(num_comps):
+            if pseudo_prop.casefold() == "geometric":
+                # Use geometric mean definition for the pseudo property
+                var_ij = (var_n[i] * var_n[j]) ** (0.5)
+            else:
+                # Use arithmetic definition for the pseudo property
+                var_ij = (var_n[i] + var_n[j]) / 2
+            var_mix += X[i] * X[j] * var_ij
+    return var_mix
+
+
+def droplet_volume(r):
+    """
+    Calculate spherical volume of a droplet given the radius.
+
+    :param r: Radius of the droplet in meters.
+    :type r: float
+    :return: Spherical volume of droplet in cubic meters.
+    :rtype: float
+    """
+    return 4.0 / 3.0 * np.pi * r**3
+
+
+def droplet_mass(fuel, r, Yi, T):
+    """
+    Calculate the mass of each compound in the fuel provided the radius of the droplet.
+
+    :param fuel: An instance of the fuel class.
+    :type fuel: fuel object
+    :param r: Radius of the droplet in meters.
+    :type r: float
+    :param Yi: Mass fractions of each compound.
+    :type Yi: np.ndarray
+    :param T: Droplet temperature in Kelvin.
+    :type T: float
+    :return: Mass of each compound in droplet in kg.
+    :rtype: np.ndarray
+    """
+    volume = droplet_volume(r)  # m^3
+    if volume > 0:
+        return volume / (fuel.molar_liquid_vol(T) @ Yi) * Yi * fuel.MW
+    else:
+        return np.zeros_like(fuel.MW)
+
+
+__all__ = ["mixing_rule", "droplet_volume", "droplet_mass"]
diff --git a/pyproject.toml b/pyproject.toml
index e60b200..c9cba69 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -51,16 +51,16 @@ fl-export-pele = "fuellib.exporters.pele:main"
 fl-build-docs = "fuellib.build_docs:main"
 fl-clean-docs = "fuellib.clean_docs:main"
 fl-format = "fuellib.format_code:main"
-fl-eps2K = "fuellib.utilities.transport_props_converter:eps2K_main"
-fl-C2K = "fuellib.utilities.temp_converter:c2k_main"
-fl-K2C = "fuellib.utilities.temp_converter:k2c_main"
-fl-C2F = "fuellib.utilities.temp_converter:c2f_main"
-fl-F2C = "fuellib.utilities.temp_converter:f2c_main"
-fl-F2K = "fuellib.utilities.temp_converter:f2k_main"
-fl-K2F = "fuellib.utilities.temp_converter:k2f_main"
-fl-plt-comp = "fuellib.utilities.plotting:comp_main"
-fl-plt-props = "fuellib.utilities.plotting:props_main"
-fl-fuels = "fuellib.utilities.fuel_manager:list_fuels_main"
+fl-eps2K = "fuellib.cli.transport_props_converter:eps2K_main"
+fl-C2K = "fuellib.cli.temp_converter:c2k_main"
+fl-K2C = "fuellib.cli.temp_converter:k2c_main"
+fl-C2F = "fuellib.cli.temp_converter:c2f_main"
+fl-F2C = "fuellib.cli.temp_converter:f2c_main"
+fl-F2K = "fuellib.cli.temp_converter:f2k_main"
+fl-K2F = "fuellib.cli.temp_converter:k2f_main"
+fl-plt-comp = "fuellib.cli.plotting:comp_main"
+fl-plt-props = "fuellib.cli.plotting:props_main"
+fl-fuels = "fuellib.cli._fuel_manager:list_fuels_main"
 
 [project.urls]
 Repository = "https://github.com/NatLabRockies/FuelLib"
@@ -68,7 +68,7 @@ Issues = "https://github.com/NatLabRockies/FuelLib/issues"
 Documentation = "https://NatLabRockies.github.io/FuelLib"
 
 [tool.setuptools]
-packages = ["fuellib", "fuellib.exporters", "fuellib.utilities"]
+packages = ["fuellib", "fuellib.exporters", "fuellib.cli"]
 
 [tool.setuptools.package-data]
 fuellib = [
diff --git a/tests/test_api.py b/tests/test_api.py
index 84fad52..96f8821 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -23,11 +23,16 @@ def _normalize_signature(sig):
 
 
 def _public_module_functions(module):
-    return {
-        name: obj
-        for name, obj in inspect.getmembers(module, inspect.isfunction)
-        if not name.startswith("_") and obj.__module__ == module.__name__
-    }
+    """Get public functions from module, including re-exported ones from __all__."""
+    functions = {}
+    # Check all public names in __all__
+    if hasattr(module, "__all__"):
+        for name in module.__all__:
+            if not name.startswith("_"):
+                obj = getattr(module, name, None)
+                if inspect.isfunction(obj) or inspect.isbuiltin(obj):
+                    functions[name] = obj
+    return functions
 
 
 def _public_class_methods(cls):
@@ -52,6 +57,12 @@ def test_fuellib_module_api(self):
             "droplet_volume": "(r)",
             "droplet_mass": "(fuel, r, Yi, T)",
             "epsilon_to_characteristic_temperature": "(epsilon_j_per_mol)",
+            "get_fueldata_dir": "()",
+            "get_fueldata_gc_dir": "()",
+            "get_fueldata_decomp_dir": "()",
+            "get_fueldata_props_dir": "()",
+            "get_decomp_name_from_metadata": "(fuel_name, fuel_data_dir=None)",
+            "get_props_data_from_metadata": "(fuel_name, fuel_data_dir=None)",
         }
 
         actual = _public_module_functions(fl)

From d8903157447c1645e90f38141cabb6d3727f045c Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 17:50:14 -0600
Subject: [PATCH 32/48] BREAKING CHANGES: namespace for convert, utility

---
 docs/fuelprops.rst                       |   4 +-
 docs/sourcecode.rst                      |  19 ++--
 fuellib/__init__.py                      |  40 ++------
 fuellib/cli/temp_converter.py            |  14 +--
 fuellib/cli/transport_props_converter.py |   4 +-
 fuellib/constants.py                     |   7 +-
 fuellib/{conversions.py => convert.py}   |   0
 fuellib/fuel.py                          | 124 +++++++++++++++--------
 fuellib/{utilities.py => utility.py}     |   0
 tests/get_pred_and_data.py               |   2 +-
 tests/test_api.py                        | 124 ++++++++++++++++-------
 tests/test_utilities.py                  |  22 ++--
 tutorials/hefaBlends.py                  |   6 +-
 tutorials/mixtureProperties.py           |   6 +-
 14 files changed, 228 insertions(+), 144 deletions(-)
 rename fuellib/{conversions.py => convert.py} (100%)
 rename fuellib/{utilities.py => utility.py} (100%)

diff --git a/docs/fuelprops.rst b/docs/fuelprops.rst
index 0972039..fe65546 100644
--- a/docs/fuelprops.rst
+++ b/docs/fuelprops.rst
@@ -389,7 +389,7 @@ are used throughout this section.
 Conventional mixing rules
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. autofunction:: fuellib.mixing_rule
+.. autofunction:: fuellib.utility.mixing_rule
    :noindex:
 
 While many of the mixture properties in FuelLib have a unique mixing rule,
@@ -517,7 +517,7 @@ For ease of reference, the reference compounds and keys corresponding to a PeleP
 When provided, the PelePhysics keys can be used to link the compounds in FuelLib to species in PelePhysics simulations via ``Export4Pele.py`` as described in :ref:`Exporting to PelePhysics <sec-exporting-to-pelephysics>`.
 
 .. csv-table:: Reference compounds, chemical formulas, and corresponding PelePhysics keys by GCxGC bin.
-   :file: ../fuelData/refCompounds.csv
+   :file: ../fuellib/data/fuelData/refCompounds.csv
    :header-rows: 1
    :align: center
    :widths: auto
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index b34b9cb..af1aa6e 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -9,18 +9,20 @@ FuelLib File Organization
 -------------------------
 
 - **docs:** directory containing the documentation source files
-- **fuelData:** 
-    - **gcData:** directory containing a collection of GCxGC compositional data by weight percentages
-    - **groupDecompositionData:** directory containing a collection of functional group decompositions
-    - **propertiesData:** directory containing measurement or predicted data for validation (see *fuelData/dataReferences.md*)
 - **gcmTableData:** directory that contains the pre-tabulated group contributions
 - **fuellib:** main package directory containing:
 
     - ``fuel.py``: core :class:`fuel` class for Group Contribution Method calculations
     - ``constants.py``: physical constants (Boltzmann, Avogadro)
-    - ``conversions.py``: temperature conversion functions and Lennard-Jones calculations
-    - ``utilities.py``: utility functions for mixture properties and droplet calculations
+    - ``convert.py``: temperature conversion functions and Lennard-Jones calculations
+    - ``utility.py``: utility functions for mixture properties and droplet calculations
     - ``_data_locator.py``: internal module for locating and validating fuel data directories
+    - **data**: directory containing fuel data and metadata    
+        - **fuelData:** 
+            - **gcData:** directory containing a collection of GCxGC compositional data by weight percentages
+            - **groupDecompositionData:** directory containing a collection of functional group decompositions
+            - **propertiesData:** directory containing measurement or predicted data for validation (see *fuelData/dataReferences.md*)
+            - ``fuel_metadata.yaml``: YAML file that maps fuel names to their decomposition files and optional metadata fields (see *fuelData/fuel_metadata_template.yaml* for template)
     - **exporters:** subpackage with CLI exporters for generating fuel properties
     
         - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
@@ -66,4 +68,7 @@ Click on links below for the full auto-documentation of the API.
 .. autosummary::
     :toctree: generated
 
-    fuellib
\ No newline at end of file
+    fuellib.fuel
+    fuellib.constants
+    fuellib.convert
+    fuellib.utility
\ No newline at end of file
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 96b95cb..2354dab 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -17,51 +17,33 @@
 # Import constants
 from .constants import k_B, N_A
 
-# Import temperature conversions and characteristic temperature
-from .conversions import (
-    C2K,
-    K2C,
-    C2F,
-    F2C,
-    F2K,
-    K2F,
-    epsilon_to_characteristic_temperature,
-)
-
-# Import utility functions
-from .utilities import mixing_rule, droplet_volume, droplet_mass
-
 # Import fuel class
 from .fuel import fuel
 
-# Import data locator functions
+# Import data locator functions for convenience
 from ._data_locator import (
     get_fueldata_dir,
     get_fueldata_gc_dir,
     get_fueldata_decomp_dir,
     get_fueldata_props_dir,
-    get_decomp_name_from_metadata,
-    get_props_data_from_metadata,
+    get_gcmtable_dir,
 )
 
+# Import submodules for namespacing
+from . import constants
+from . import convert
+from . import utility
+
 __all__ = [
     "fuel",
     "k_B",
     "N_A",
-    "C2K",
-    "K2C",
-    "C2F",
-    "F2C",
-    "F2K",
-    "K2F",
-    "epsilon_to_characteristic_temperature",
-    "mixing_rule",
-    "droplet_volume",
-    "droplet_mass",
     "get_fueldata_dir",
     "get_fueldata_gc_dir",
     "get_fueldata_decomp_dir",
     "get_fueldata_props_dir",
-    "get_decomp_name_from_metadata",
-    "get_props_data_from_metadata",
+    "get_gcmtable_dir",
+    "constants",
+    "convert",
+    "utility",
 ]
diff --git a/fuellib/cli/temp_converter.py b/fuellib/cli/temp_converter.py
index 5d79a68..f434e3c 100644
--- a/fuellib/cli/temp_converter.py
+++ b/fuellib/cli/temp_converter.py
@@ -1,7 +1,7 @@
 """Command-line tools to convert temperatures."""
 
 import sys
-from .. import C2K, K2C, C2F, F2C, F2K, K2F
+from .. import convert
 
 
 def c2k_main():
@@ -13,7 +13,7 @@ def c2k_main():
 
     try:
         temp_c = float(sys.argv[1])
-        result = C2K(temp_c)
+        result = convert.C2K(temp_c)
         print(f"{temp_c} °C = {result:.2f} K")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
@@ -29,7 +29,7 @@ def k2c_main():
 
     try:
         temp_k = float(sys.argv[1])
-        result = K2C(temp_k)
+        result = convert.K2C(temp_k)
         print(f"{temp_k} K = {result:.2f} °C")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
@@ -45,7 +45,7 @@ def c2f_main():
 
     try:
         temp_c = float(sys.argv[1])
-        result = C2F(temp_c)
+        result = convert.C2F(temp_c)
         print(f"{temp_c} °C = {result:.2f} °F")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
@@ -61,7 +61,7 @@ def f2c_main():
 
     try:
         temp_f = float(sys.argv[1])
-        result = F2C(temp_f)
+        result = convert.F2C(temp_f)
         print(f"{temp_f} °F = {result:.2f} °C")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
@@ -77,7 +77,7 @@ def f2k_main():
 
     try:
         temp_f = float(sys.argv[1])
-        result = F2K(temp_f)
+        result = convert.F2K(temp_f)
         print(f"{temp_f} °F = {result:.2f} K")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
@@ -93,7 +93,7 @@ def k2f_main():
 
     try:
         temp_k = float(sys.argv[1])
-        result = K2F(temp_k)
+        result = convert.K2F(temp_k)
         print(f"{temp_k} K = {result:.2f} °F")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
diff --git a/fuellib/cli/transport_props_converter.py b/fuellib/cli/transport_props_converter.py
index b806550..043c4f3 100644
--- a/fuellib/cli/transport_props_converter.py
+++ b/fuellib/cli/transport_props_converter.py
@@ -1,7 +1,7 @@
 """Command-line tool to convert transport properties for combustion simulations."""
 
 import sys
-from .. import epsilon_to_characteristic_temperature
+from .. import convert
 
 
 def eps2K_main():
@@ -13,7 +13,7 @@ def eps2K_main():
 
     try:
         epsilon = float(sys.argv[1])
-        result = epsilon_to_characteristic_temperature(epsilon)
+        result = convert.epsilon_to_characteristic_temperature(epsilon)
         print(f"Characteristic temperature: {result:.3f} K")
     except ValueError:
         print(f"Error: '{sys.argv[1]}' is not a valid number")
diff --git a/fuellib/constants.py b/fuellib/constants.py
index 1dac3e8..d5a7b71 100644
--- a/fuellib/constants.py
+++ b/fuellib/constants.py
@@ -1,7 +1,10 @@
 """Physical constants used in FuelLib calculations."""
 
 # Physical constants
-k_B = 1.380649e-23  # Boltzmann's constant in J/K
-N_A = 6.02214076e23  # Avogadro's number in 1/mol
+#: Boltzmann's constant in J/K.
+k_B = 1.380649e-23
+
+#: Avogadro's number in 1/mol.
+N_A = 6.02214076e23
 
 __all__ = ["k_B", "N_A"]
diff --git a/fuellib/conversions.py b/fuellib/convert.py
similarity index 100%
rename from fuellib/conversions.py
rename to fuellib/convert.py
diff --git a/fuellib/fuel.py b/fuellib/fuel.py
index 45d33e7..7b25ad1 100644
--- a/fuellib/fuel.py
+++ b/fuellib/fuel.py
@@ -6,8 +6,8 @@
 from scipy.optimize import curve_fit
 
 from .constants import k_B, N_A
-from .conversions import K2C
-from .utilities import mixing_rule
+from .convert import K2C
+from .utility import mixing_rule
 from ._data_locator import (
     get_gcmtable_dir,
     get_fueldata_dir,
@@ -28,59 +28,101 @@ class fuel:
     :type decompName: str, optional
     :param fuelDataDir: Directory where the fuel data is stored. If None, uses built-in embedded data.
     :type fuelDataDir: str, optional
+    """
 
-    **Data Directory Attributes:**
+    # Type annotations for documented attributes
+    #: Root directory for fuel data (custom or embedded)
+    fuelDataDir: str
 
-    :ivar fuelDataDir: Root directory for fuel data (custom or embedded).
-    :ivar fuelDataGcDir: Directory containing GCxGC compositional data files.
-    :ivar fuelDataDecompDir: Directory containing functional group decomposition files.
-    :ivar fuelDataPropsDir: Directory containing experimental property data (may be None).
+    #: Directory containing GCxGC compositional data files
+    fuelDataGcDir: str
 
-    **Composition Attributes:**
+    #: Directory containing functional group decomposition files
+    fuelDataDecompDir: str
 
-    :ivar name: Name of the fuel/mixture.
-    :ivar compounds: List of compound names in the mixture.
-    :ivar formulas: Molecular formulas for each compound (if available).
-    :ivar Y_0: Mass fractions of each compound (array, shape: num_compounds).
-    :ivar Nij: Functional group decomposition matrix (array, shape: num_compounds × num_groups).
-    :ivar num_compounds: Number of compounds in the mixture.
-    :ivar num_groups: Number of functional groups in the decomposition.
+    #: Directory containing experimental property data (may be None)
+    fuelDataPropsDir: str
 
-    **Pure Component Properties (Critical, Molecular):**
+    #: Name of the fuel/mixture
+    name: str
 
-    :ivar MW: Molecular weights in kg/mol (array, shape: num_compounds).
-    :ivar Tc: Critical temperatures in K (array, shape: num_compounds).
-    :ivar Pc: Critical pressures in Pa (array, shape: num_compounds).
-    :ivar Vc: Critical volumes in m³/mol (array, shape: num_compounds).
-    :ivar Tb: Boiling temperatures in K (array, shape: num_compounds).
-    :ivar Tm: Melting temperatures in K (array, shape: num_compounds).
+    #: List of compound names in the mixture
+    compounds: list
 
-    **Thermodynamic Properties (at 298.15 K):**
+    #: Molecular formulas for each compound
+    formulas: np.ndarray
 
-    :ivar Hf: Enthalpy of formation in J/mol (array, shape: num_compounds).
-    :ivar Gf: Gibbs free energy in J/mol (array, shape: num_compounds).
-    :ivar Hv_stp: Enthalpy of vaporization at 298 K in J/mol (array, shape: num_compounds).
-    :ivar Lv_stp: Latent heat of vaporization at 298 K in J/kg (array, shape: num_compounds).
-    :ivar Cp_stp: Molar specific heat at 298 K in J/mol/K (array, shape: num_compounds).
-    :ivar Vm_stp: Molar liquid volume at 298 K in m³/mol (array, shape: num_compounds).
-    :ivar omega: Acentric factors (array, shape: num_compounds).
+    #: Mass fractions of each compound. Shape: (num_compounds,)
+    Y_0: np.ndarray
 
-    **Lennard-Jones Transport Parameters:**
+    #: Functional group decomposition matrix. Shape: (num_compounds, num_groups)
+    Nij: np.ndarray
 
-    :ivar sigma: Lennard-Jones collision diameters in m (array, shape: num_compounds).
-    :ivar epsilonByKB: Lennard-Jones well depths in K (array, shape: num_compounds).
+    #: Number of compounds in the mixture
+    num_compounds: int
 
-    **Classification Attributes:**
+    #: Number of functional groups in the decomposition
+    num_groups: int
 
-    :ivar hc_type: Hydrocarbon types ("n-alkane", "iso-alkane", "cyclo-alkane", "aromatic", "alkene").
-    :ivar fam: Family codes for thermal conductivity (0: saturated, 1: aromatic, 2: cycloparaffin, 3: olefin).
-    :ivar nC: Carbon numbers (array, shape: num_compounds).
-    :ivar nH: Hydrogen numbers (array, shape: num_compounds).
+    #: Molecular weights in kg/mol. Shape: (num_compounds,)
+    MW: np.ndarray
 
-    **Optional Attributes:**
+    #: Critical temperatures in K. Shape: (num_compounds,)
+    Tc: np.ndarray
 
-    :ivar pelephysics_keys: PelePhysics keys for each compound (if available).
-    """
+    #: Critical pressures in Pa. Shape: (num_compounds,)
+    Pc: np.ndarray
+
+    #: Critical volumes in m³/mol. Shape: (num_compounds,)
+    Vc: np.ndarray
+
+    #: Boiling temperatures in K. Shape: (num_compounds,)
+    Tb: np.ndarray
+
+    #: Melting temperatures in K. Shape: (num_compounds,)
+    Tm: np.ndarray
+
+    #: Enthalpy of formation in J/mol. Shape: (num_compounds,)
+    Hf: np.ndarray
+
+    #: Gibbs free energy in J/mol. Shape: (num_compounds,)
+    Gf: np.ndarray
+
+    #: Enthalpy of vaporization at 298 K in J/mol. Shape: (num_compounds,)
+    Hv_stp: np.ndarray
+
+    #: Latent heat of vaporization at 298 K in J/kg. Shape: (num_compounds,)
+    Lv_stp: np.ndarray
+
+    #: Molar specific heat at 298 K in J/mol/K. Shape: (num_compounds,)
+    Cp_stp: np.ndarray
+
+    #: Molar liquid volume at 298 K in m³/mol. Shape: (num_compounds,)
+    Vm_stp: np.ndarray
+
+    #: Acentric factors. Shape: (num_compounds,)
+    omega: np.ndarray
+
+    #: Lennard-Jones collision diameters in m. Shape: (num_compounds,)
+    sigma: np.ndarray
+
+    #: Lennard-Jones well depths in K. Shape: (num_compounds,)
+    epsilonByKB: np.ndarray
+
+    #: Hydrocarbon types ("n-alkane", "iso-alkane", "cyclo-alkane", "aromatic", "alkene")
+    hc_type: np.ndarray
+
+    #: Family codes for thermal conductivity (0: saturated, 1: aromatic, 2: cycloparaffin, 3: olefin)
+    fam: np.ndarray
+
+    #: Carbon numbers. Shape: (num_compounds,)
+    nC: np.ndarray
+
+    #: Hydrogen numbers. Shape: (num_compounds,)
+    nH: np.ndarray
+
+    #: PelePhysics keys for each compound (if available)
+    pelephysics_keys: np.ndarray
 
     # Number of first and second order groups from Constantinou and Gani
     N_g1 = 78
diff --git a/fuellib/utilities.py b/fuellib/utility.py
similarity index 100%
rename from fuellib/utilities.py
rename to fuellib/utility.py
diff --git a/tests/get_pred_and_data.py b/tests/get_pred_and_data.py
index 1ec0b6b..e567818 100644
--- a/tests/get_pred_and_data.py
+++ b/tests/get_pred_and_data.py
@@ -23,7 +23,7 @@ def get_pred_and_data(fuel_name, prop_name):
     pred = np.zeros_like(T_data)
 
     # Vectors for temperature (convert from C to K)
-    T_pred = fl.C2K(T_data)
+    T_pred = fl.convert.C2K(T_data)
 
     for i in range(0, len(T_pred)):
         Y_li = fuel.Y_0
diff --git a/tests/test_api.py b/tests/test_api.py
index 96f8821..ac69a4c 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -1,4 +1,5 @@
 import inspect
+import types
 import unittest
 import numpy as np
 
@@ -46,44 +47,95 @@ def _public_class_methods(cls):
 class ApiContractTestCase(unittest.TestCase):
     def test_fuellib_module_api(self):
         print("\nFuelLib Module API:")
-        expected = {
+        expected_top_level = {
+            "fuel": "class",
+            "k_B": "constant",
+            "N_A": "constant",
+            "constants": "module",
+            "convert": "module",
+            "utility": "module",
+        }
+
+        # Check top-level API
+        for name, obj_type in expected_top_level.items():
+            self.assertTrue(
+                hasattr(fl, name),
+                msg=f"FuelLib module missing expected attribute: {name}",
+            )
+            if obj_type == "class":
+                self.assertTrue(
+                    inspect.isclass(getattr(fl, name)),
+                    msg=f"FuelLib.{name} should be a class",
+                )
+            elif obj_type == "module":
+                import types
+
+                self.assertTrue(
+                    isinstance(getattr(fl, name), types.ModuleType),
+                    msg=f"FuelLib.{name} should be a module",
+                )
+            print(f"  ✓ {name} ({obj_type})")
+
+        # Check convert submodule
+        print("\nFuelLib.convert Module API:")
+        convert_funcs = {
             "C2K": "(T)",
             "K2C": "(T)",
             "C2F": "(T)",
             "F2C": "(T)",
             "F2K": "(T)",
             "K2F": "(T)",
+            "epsilon_to_characteristic_temperature": "(epsilon_j_per_mol)",
+        }
+        for name, sig_expected in convert_funcs.items():
+            self.assertTrue(
+                hasattr(fl.convert, name), msg=f"fuellib.convert missing: {name}"
+            )
+            func = getattr(fl.convert, name)
+            actual_sig = _normalize_signature(inspect.signature(func))
+            self.assertEqual(
+                actual_sig,
+                sig_expected,
+                msg=f"fuellib.convert.{name} signature changed",
+            )
+            print(f"  ✓ {name}{actual_sig}")
+
+        # Check utility submodule
+        print("\nFuelLib.utility Module API:")
+        utility_funcs = {
             "mixing_rule": "(var_n, X, pseudo_prop='arithmetic')",
             "droplet_volume": "(r)",
             "droplet_mass": "(fuel, r, Yi, T)",
-            "epsilon_to_characteristic_temperature": "(epsilon_j_per_mol)",
-            "get_fueldata_dir": "()",
-            "get_fueldata_gc_dir": "()",
-            "get_fueldata_decomp_dir": "()",
-            "get_fueldata_props_dir": "()",
-            "get_decomp_name_from_metadata": "(fuel_name, fuel_data_dir=None)",
-            "get_props_data_from_metadata": "(fuel_name, fuel_data_dir=None)",
         }
-
-        actual = _public_module_functions(fl)
-        self.assertEqual(
-            set(actual.keys()),
-            set(expected.keys()),
-            msg=(
-                "FuelLib module public function list changed. "
-                f"Expected: {sorted(expected.keys())}; Found: {sorted(actual.keys())}"
-            ),
-        )
-
-        for name in sorted(expected.keys()):
-            actual_sig = _normalize_signature(inspect.signature(actual[name]))
+        for name, sig_expected in utility_funcs.items():
+            self.assertTrue(
+                hasattr(fl.utility, name), msg=f"fuellib.utility missing: {name}"
+            )
+            func = getattr(fl.utility, name)
+            actual_sig = _normalize_signature(inspect.signature(func))
             self.assertEqual(
                 actual_sig,
-                expected[name],
-                msg=f"FuelLib module function signature changed: {name}",
+                sig_expected,
+                msg=f"fuellib.utility.{name} signature changed",
             )
             print(f"  ✓ {name}{actual_sig}")
 
+        # Check constants submodule
+        print("\nFuelLib.constants Module API:")
+        constants_vals = {
+            "k_B": "Boltzmann constant",
+            "N_A": "Avogadro number",
+        }
+        for name in constants_vals.keys():
+            self.assertTrue(
+                hasattr(fl.constants, name), msg=f"fuellib.constants missing: {name}"
+            )
+            val = getattr(fl.constants, name)
+            self.assertIsInstance(
+                val, (int, float), msg=f"fuellib.constants.{name} should be numeric"
+            )
+            print(f"  ✓ {name}")
+
     def test_fuellib_class_api(self):
         print("\nFuelLib.fuel Class API:")
         expected = {
@@ -162,24 +214,24 @@ def test_all_fuel_methods_for_single_and_multicomponent(self):
 
                 # Utility functions (run per fuel for consistent CI grouping)
                 print("  Utility Functions:")
-                self.assertAlmostEqual(fl.C2K(25.0), 298.15)
-                print("    ✓ C2K")
-                self.assertAlmostEqual(fl.K2C(298.15), 25.0)
-                print("    ✓ K2C")
+                self.assertAlmostEqual(fl.convert.C2K(25.0), 298.15)
+                print("    ✓ convert.C2K")
+                self.assertAlmostEqual(fl.convert.K2C(298.15), 25.0)
+                print("    ✓ convert.K2C")
                 self.assertAlmostEqual(
-                    fl.droplet_volume(1e-4), 4.0 / 3.0 * np.pi * (1e-4) ** 3
+                    fl.utility.droplet_volume(1e-4), 4.0 / 3.0 * np.pi * (1e-4) ** 3
                 )
-                print("    ✓ droplet_volume")
+                print("    ✓ utility.droplet_volume")
 
                 Xi = fuel.Y2X(Yi)
                 self._assert_finite_and_positive(
-                    fl.mixing_rule(fuel.Tc, Xi, pseudo_prop="arithmetic")
+                    fl.utility.mixing_rule(fuel.Tc, Xi, pseudo_prop="arithmetic")
                 )
-                print("    ✓ mixing_rule (arithmetic)")
+                print("    ✓ utility.mixing_rule (arithmetic)")
                 self._assert_finite_and_positive(
-                    fl.mixing_rule(fuel.Tc, Xi, pseudo_prop="geometric")
+                    fl.utility.mixing_rule(fuel.Tc, Xi, pseudo_prop="geometric")
                 )
-                print("    ✓ mixing_rule (geometric)")
+                print("    ✓ utility.mixing_rule (geometric)")
 
                 # Composition conversion methods
                 print("  Composition Conversions:")
@@ -339,13 +391,13 @@ def test_all_fuel_methods_for_single_and_multicomponent(self):
 
                 # Droplet helpers
                 print("  Droplet Properties:")
-                m = fl.droplet_mass(fuel, 2.0e-5, Yi, self.T)
+                m = fl.utility.droplet_mass(fuel, 2.0e-5, Yi, self.T)
                 self.assertEqual(m.shape, fuel.MW.shape)
                 self.assertTrue(np.all(m >= 0.0))
                 self.assertTrue(
-                    np.allclose(fl.droplet_mass(fuel, 0.0, Yi, self.T), 0.0)
+                    np.allclose(fl.utility.droplet_mass(fuel, 0.0, Yi, self.T), 0.0)
                 )
-                print("    ✓ droplet_mass")
+                print("    ✓ utility.droplet_mass")
 
 
 if __name__ == "__main__":
diff --git a/tests/test_utilities.py b/tests/test_utilities.py
index 629bceb..e4e8360 100644
--- a/tests/test_utilities.py
+++ b/tests/test_utilities.py
@@ -15,44 +15,44 @@ def test_epsilon_to_characteristic_temperature(self):
         # epsilon = 1000 J/mol
         # epsilon_molecule = 1000 / 6.02214076e23 J
         # T* = epsilon_molecule / k_B = (1000 / 6.02214076e23) / 1.380649e-23 K
-        result = fl.epsilon_to_characteristic_temperature(1000.0)
+        result = fl.convert.epsilon_to_characteristic_temperature(1000.0)
         expected = (1000.0 / fl.N_A) / fl.k_B
         self.assertAlmostEqual(result, expected, places=10)
 
     def test_epsilon_to_characteristic_temperature_zero(self):
         """Test epsilon conversion with zero input."""
-        result = fl.epsilon_to_characteristic_temperature(0.0)
+        result = fl.convert.epsilon_to_characteristic_temperature(0.0)
         self.assertEqual(result, 0.0)
 
     def test_epsilon_to_characteristic_temperature_negative(self):
         """Test epsilon conversion with negative input."""
-        result = fl.epsilon_to_characteristic_temperature(-1000.0)
+        result = fl.convert.epsilon_to_characteristic_temperature(-1000.0)
         expected = (-1000.0 / fl.N_A) / fl.k_B
         self.assertAlmostEqual(result, expected, places=10)
 
     def test_C2K(self):
         """Test Celsius to Kelvin conversion."""
         # 0°C = 273.15 K
-        self.assertAlmostEqual(fl.C2K(0.0), 273.15, places=10)
+        self.assertAlmostEqual(fl.convert.C2K(0.0), 273.15, places=10)
         # 25°C = 298.15 K
-        self.assertAlmostEqual(fl.C2K(25.0), 298.15, places=10)
+        self.assertAlmostEqual(fl.convert.C2K(25.0), 298.15, places=10)
         # 100°C = 373.15 K
-        self.assertAlmostEqual(fl.C2K(100.0), 373.15, places=10)
+        self.assertAlmostEqual(fl.convert.C2K(100.0), 373.15, places=10)
 
     def test_K2C(self):
         """Test Kelvin to Celsius conversion."""
         # 273.15 K = 0°C
-        self.assertAlmostEqual(fl.K2C(273.15), 0.0, places=10)
+        self.assertAlmostEqual(fl.convert.K2C(273.15), 0.0, places=10)
         # 298.15 K = 25°C
-        self.assertAlmostEqual(fl.K2C(298.15), 25.0, places=10)
+        self.assertAlmostEqual(fl.convert.K2C(298.15), 25.0, places=10)
         # 373.15 K = 100°C
-        self.assertAlmostEqual(fl.K2C(373.15), 100.0, places=10)
+        self.assertAlmostEqual(fl.convert.K2C(373.15), 100.0, places=10)
 
     def test_C2K_K2C_roundtrip(self):
         """Test roundtrip conversion between Celsius and Kelvin."""
         original_c = 42.5
-        kelvin = fl.C2K(original_c)
-        result_c = fl.K2C(kelvin)
+        kelvin = fl.convert.C2K(original_c)
+        result_c = fl.convert.K2C(kelvin)
         self.assertAlmostEqual(result_c, original_c, places=10)
 
 
diff --git a/tutorials/hefaBlends.py b/tutorials/hefaBlends.py
index 97a06af..48ffff5 100644
--- a/tutorials/hefaBlends.py
+++ b/tutorials/hefaBlends.py
@@ -69,9 +69,9 @@ def getPredAndData(fuel_name, prop_name, blend):
 
     # Separate properties and associated temperatures from data
     if prop_name == "Density":
-        T = fl.C2K(15)
+        T = fl.convert.C2K(15)
     elif prop_name == "Viscosity":
-        T = fl.C2K(-20)
+        T = fl.convert.C2K(-20)
 
     # Vector for FuelLib predictions
     prop_pred = np.zeros_like(blend)
@@ -139,7 +139,7 @@ def getPredAndData(fuel_name, prop_name, blend):
     # Add labels and adjust ticks
     ax[i].set_xlabel("HEFA Concentration [wt %]", fontsize=fsize)
     ax[i].set_xticks([0, 20, 40, 60, 80, 100])
-    ax[i].set_ylabel(ylab(prop_names[i], fl.K2C(T)), fontsize=fsize)
+    ax[i].set_ylabel(ylab(prop_names[i], fl.convert.K2C(T)), fontsize=fsize)
     ax[i].tick_params(labelsize=ticksize)
 
 handles, labels = ax[0].get_legend_handles_labels()
diff --git a/tutorials/mixtureProperties.py b/tutorials/mixtureProperties.py
index 72fc367..08923d3 100644
--- a/tutorials/mixtureProperties.py
+++ b/tutorials/mixtureProperties.py
@@ -91,14 +91,14 @@ def getPredAndData(fuel_name, prop_name):
         T_data = data.Temperature[data[prop_name].notna()]
         prop_data = data[prop_name].dropna()
         # Vectors for temperature (convert from C to K)
-        T_pred = fl.C2K(np.linspace(min(T_data), max(T_data), 100))
+        T_pred = fl.convert.C2K(np.linspace(min(T_data), max(T_data), 100))
     except (FileNotFoundError, KeyError):
         # If propertyData is not found, set temp min/max from xticks_posf
         T_data = pd.Series(dtype=float)
         prop_data = pd.Series(dtype=float)
         temp_min = min(xticks_posf[prop_name])
         temp_max = max(xticks_posf[prop_name])
-        T_pred = fl.C2K(np.linspace(temp_min, temp_max, 100))
+        T_pred = fl.convert.C2K(np.linspace(temp_min, temp_max, 100))
 
     # Vectors for density, viscosity and vapor pressure
     pred = np.zeros_like(T_pred)
@@ -142,7 +142,7 @@ def getPredAndData(fuel_name, prop_name):
 
         # Plot GCM predictions and data
         ax[i].plot(
-            fl.K2C(T),
+            fl.convert.K2C(T),
             pred,
             "-",
             color=line_color,

From bdc8a09fe6d44b8195b8a7184cce10e7c424288c Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 22:21:20 -0600
Subject: [PATCH 33/48] Fix exporter test

---
 .github/workflows/ci.yml      |  15 +----
 fuellib/exporters/converge.py |  10 ++--
 fuellib/exporters/pele.py     |  20 +++----
 tests/test_exporters.py       | 110 ++++++++++++++++++++++++++++++++++
 4 files changed, 127 insertions(+), 28 deletions(-)
 create mode 100644 tests/test_exporters.py

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 80581bf..68ff807 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -111,18 +111,5 @@ jobs:
       - run: |
           python -m pip install --upgrade pip
           pip install -e .
-      - name: fl-export-pele - individual component export
-        run: fl-export-pele -f posf10264
-      - name: fl-export-pele - mixture export with GCM model
-        run: fl-export-pele -f posf10264 -m true
-      - name: fl-export-pele - mixture export with MP model
-        run: fl-export-pele -f posf10264 -m true -l mp
-      - name: fl-export-pele - mixture export with CGS units
-        run: fl-export-pele -f posf10264 -m true -u cgs
-      - name: fl-export-pele - single deposit species
-        run: fl-export-pele -f posf10264 -dep POSF10264
-      - name: fl-export-converge - individual component export
-        run: fl-export-converge -f posf10264
-      - name: fl-export-converge - mixture export
-        run: fl-export-converge -f posf10264 -m true -t 280 -T 400 -s 10
+      - run: python tests/test_exporters.py
   
diff --git a/fuellib/exporters/converge.py b/fuellib/exporters/converge.py
index 0f8aedb..dc4d0f6 100644
--- a/fuellib/exporters/converge.py
+++ b/fuellib/exporters/converge.py
@@ -343,8 +343,10 @@ def calculate_mixture_properties(T_array, fuel):
             thermal_conductivity[k] = fuel.mixture_thermal_conductivity(Y_li, Temp)
 
             # Generic mixing rules for latent heat and specific heat
-            Lv[k] = fl.mixing_rule(fuel.latent_heat_vaporization(Temp), X_li)  # J/kg
-            Cl[k] = fl.mixing_rule(fuel.Cl(Temp), X_li)  # J/kg/K
+            Lv[k] = fl.utility.mixing_rule(
+                fuel.latent_heat_vaporization(Temp), X_li
+            )  # J/kg
+            Cl[k] = fl.utility.mixing_rule(fuel.Cl(Temp), X_li)  # J/kg/K
 
         return mu, surface_tension, Lv, pv, rho, Cl, thermal_conductivity
 
@@ -411,8 +413,8 @@ def export_properties_to_csv(file_path, data_dict, overwrite=True):
         T = np.linspace(temp_min, temp_max, nT)
 
         # Estimate freezing point and critical temp of mixture
-        T_freeze = fl.mixing_rule(fuel.Tm, fuel.Y2X(fuel.Y_0))
-        T_crit = fl.mixing_rule(fuel.Tc, fuel.Y2X(fuel.Y_0))
+        T_freeze = fl.utility.mixing_rule(fuel.Tm, fuel.Y2X(fuel.Y_0))
+        T_crit = fl.utility.mixing_rule(fuel.Tc, fuel.Y2X(fuel.Y_0))
 
         print(f"\nEstimated mixture freezing temp: {T_freeze:.2f} K")
         print(f"Min freezing temp min(Tm_i): {min(fuel.Tm):.2f} K")
diff --git a/fuellib/exporters/pele.py b/fuellib/exporters/pele.py
index 338729a..cf44b23 100644
--- a/fuellib/exporters/pele.py
+++ b/fuellib/exporters/pele.py
@@ -187,9 +187,9 @@ def create_mixture_dataframe(fuel, export_mix_name, converter):
     # Cp(T) = Cp_A + Cp_B * theta + Cp_C * theta^2
     # where theta = (T - 298.15) / 700
     X = fuel.Y2X(fuel.Y_0)
-    Cp_A = fl.mixing_rule(fuel.Cp_stp / fuel.MW, X)
-    Cp_B = fl.mixing_rule(fuel.Cp_B / fuel.MW, X)
-    Cp_C = fl.mixing_rule(fuel.Cp_C / fuel.MW, X)
+    Cp_A = fl.utility.mixing_rule(fuel.Cp_stp / fuel.MW, X)
+    Cp_B = fl.utility.mixing_rule(fuel.Cp_B / fuel.MW, X)
+    Cp_C = fl.utility.mixing_rule(fuel.Cp_C / fuel.MW, X)
 
     return pd.DataFrame(
         {
@@ -197,17 +197,17 @@ def create_mixture_dataframe(fuel, export_mix_name, converter):
             "Family": [st.mode(fuel.fam).mode],
             "Y_0": [1.0],
             "MW": [fuel.mean_molecular_weight(fuel.Y_0) * converter.MW],
-            "Tc": [fl.mixing_rule(fuel.Tc, X)],
-            "Pc": [fl.mixing_rule(fuel.Pc, X) * converter.P],
-            "Vc": [fl.mixing_rule(fuel.Vc, X) * converter.Vm],
-            "Tb": [fl.mixing_rule(fuel.Tb, X)],
-            "omega": [fl.mixing_rule(fuel.omega, X)],
-            "Vm_stp": [fl.mixing_rule(fuel.Vm_stp, X) * converter.Vm],
+            "Tc": [fl.utility.mixing_rule(fuel.Tc, X)],
+            "Pc": [fl.utility.mixing_rule(fuel.Pc, X) * converter.P],
+            "Vc": [fl.utility.mixing_rule(fuel.Vc, X) * converter.Vm],
+            "Tb": [fl.utility.mixing_rule(fuel.Tb, X)],
+            "omega": [fl.utility.mixing_rule(fuel.omega, X)],
+            "Vm_stp": [fl.utility.mixing_rule(fuel.Vm_stp, X) * converter.Vm],
             "Cp_A": [Cp_A * converter.Cp],
             "Cp_B": [Cp_B * converter.Cp],
             "Cp_C": [Cp_C * converter.Cp],
             "Cp_stp": [Cp_A * converter.Cp],  # For MP model: Cp_stp = Cp_A
-            "Lv_stp": [fl.mixing_rule(fuel.Lv_stp, X) * converter.Lv],
+            "Lv_stp": [fl.utility.mixing_rule(fuel.Lv_stp, X) * converter.Lv],
         }
     )
 
diff --git a/tests/test_exporters.py b/tests/test_exporters.py
new file mode 100644
index 0000000..d3bb649
--- /dev/null
+++ b/tests/test_exporters.py
@@ -0,0 +1,110 @@
+"""Test exporters for FuelLib.
+
+This test module verifies that the export CLI commands work correctly.
+"""
+
+import subprocess
+import sys
+
+
+def run_export_command(cmd):
+    """Run an export command and verify it succeeds.
+
+    :param cmd: Command to run as a list of strings.
+    :type cmd: list
+    :raises RuntimeError: If the command fails.
+    """
+    try:
+        result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
+        if result.returncode != 0:
+            print(f"Command failed: {' '.join(cmd)}")
+            print(f"stdout: {result.stdout}")
+            print(f"stderr: {result.stderr}")
+            raise RuntimeError(f"Export command failed: {' '.join(cmd)}")
+        print(f"✓ {' '.join(cmd)}")
+    except subprocess.TimeoutExpired:
+        raise RuntimeError(f"Export command timed out: {' '.join(cmd)}")
+
+
+def test_pele_individual_component():
+    """Test fl-export-pele individual component export."""
+    run_export_command(["fl-export-pele", "-f", "posf10264"])
+
+
+def test_pele_mixture_gcm():
+    """Test fl-export-pele mixture export with GCM model."""
+    run_export_command(["fl-export-pele", "-f", "posf10264", "-m", "true"])
+
+
+def test_pele_mixture_mp():
+    """Test fl-export-pele mixture export with MP model."""
+    run_export_command(["fl-export-pele", "-f", "posf10264", "-m", "true", "-l", "mp"])
+
+
+def test_pele_mixture_cgs():
+    """Test fl-export-pele mixture export with CGS units."""
+    run_export_command(["fl-export-pele", "-f", "posf10264", "-m", "true", "-u", "cgs"])
+
+
+def test_pele_deposit_species():
+    """Test fl-export-pele single deposit species."""
+    run_export_command(["fl-export-pele", "-f", "posf10264", "-dep", "POSF10264"])
+
+
+def test_converge_individual_component():
+    """Test fl-export-converge individual component export."""
+    run_export_command(["fl-export-converge", "-f", "posf10264"])
+
+
+def test_converge_mixture():
+    """Test fl-export-converge mixture export."""
+    run_export_command(
+        [
+            "fl-export-converge",
+            "-f",
+            "posf10264",
+            "-m",
+            "true",
+            "-t",
+            "280",
+            "-T",
+            "400",
+            "-s",
+            "10",
+        ]
+    )
+
+
+if __name__ == "__main__":
+    print("Running exporter tests...\n")
+
+    tests = [
+        (
+            "fl-export-pele - individual component export",
+            test_pele_individual_component,
+        ),
+        ("fl-export-pele - mixture export with GCM model", test_pele_mixture_gcm),
+        ("fl-export-pele - mixture export with MP model", test_pele_mixture_mp),
+        ("fl-export-pele - mixture export with CGS units", test_pele_mixture_cgs),
+        ("fl-export-pele - single deposit species", test_pele_deposit_species),
+        (
+            "fl-export-converge - individual component export",
+            test_converge_individual_component,
+        ),
+        ("fl-export-converge - mixture export", test_converge_mixture),
+    ]
+
+    failed = []
+    for test_name, test_func in tests:
+        try:
+            test_func()
+        except Exception as e:
+            print(f"✗ {test_name}: {e}")
+            failed.append(test_name)
+
+    print(f"\n{len(tests) - len(failed)}/{len(tests)} tests passed")
+    if failed:
+        print("Failed tests:")
+        for test_name in failed:
+            print(f"  - {test_name}")
+        sys.exit(1)

From 622917915c294391c51893d308d88132ae9755e4 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 22:25:05 -0600
Subject: [PATCH 34/48] Update version to v3.0.0a1 after breaking changes

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index c9cba69..2aa89f3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "2.1.2a4"
+version = "3.0.0a1"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}

From 0cd08f76bae0c4987ab1311fb2b554ca8de5b04f Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 23:03:58 -0600
Subject: [PATCH 35/48] Fix docstrings test

---
 tests/test_source_docstrings.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tests/test_source_docstrings.py b/tests/test_source_docstrings.py
index 4cb4378..c240cf6 100644
--- a/tests/test_source_docstrings.py
+++ b/tests/test_source_docstrings.py
@@ -69,9 +69,12 @@ class SourceDocstringContractTestCase(unittest.TestCase):
     def test_source_function_documentation(self):
         fuellib_dir = Path(__file__).resolve().parents[1] / "fuellib"
 
-        # Check main module, exporter scripts, and CLI entry points
+        # Check main module, public API modules, exporter scripts, and CLI entry points
         py_files = [
             fuellib_dir / "__init__.py",
+            fuellib_dir / "fuel.py",
+            fuellib_dir / "convert.py",
+            fuellib_dir / "utility.py",
             fuellib_dir / "exporters" / "pele.py",
             fuellib_dir / "exporters" / "converge.py",
             fuellib_dir / "build_docs.py",

From 416a0e135e0b6b253dc3d111ba94da786b7fed79 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Fri, 15 May 2026 23:22:29 -0600
Subject: [PATCH 36/48] Move dev tools to cli

---
 docs/sourcecode.rst                               | 11 +++++++----
 fuellib/{ => cli}/build_docs.py                   |  7 +++++--
 fuellib/{ => cli}/clean_docs.py                   |  7 +++++--
 fuellib/{ => cli}/format_code.py                  |  7 +++++--
 fuellib/cli/{_fuel_manager.py => fuel_manager.py} |  0
 pyproject.toml                                    |  8 ++++----
 tests/test_source_docstrings.py                   |  7 ++++---
 7 files changed, 30 insertions(+), 17 deletions(-)
 rename fuellib/{ => cli}/build_docs.py (87%)
 rename fuellib/{ => cli}/clean_docs.py (86%)
 rename fuellib/{ => cli}/format_code.py (83%)
 rename fuellib/cli/{_fuel_manager.py => fuel_manager.py} (100%)

diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index af1aa6e..4e1bf19 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -30,10 +30,13 @@ FuelLib File Organization
 
     - **cli:** subpackage with command-line interface tools for data conversion and analysis
     
-        - ``temp_converter.py``: temperature conversion utilities (CLI: ``fl-C2K``, ``fl-K2C``, ``fl-C2F``, ``fl-F2C``, ``fl-F2K``, ``fl-K2F``)
-        - ``transport_props_converter.py``: Lennard-Jones parameter conversion (CLI: ``fl-eps2K``)
-        - ``plotting.py``: plotting utilities for composition and properties (CLI: ``fl-plt-comp``, ``fl-plt-props``)
-        - ``_fuel_manager.py``: fuel manager utility (CLI: ``fl-fuels``)
+        - ``temp_converter.py``: temperature conversion utilities
+        - ``transport_props_converter.py``: transport properties conversion utilities
+        - ``plotting.py``: plotting utilities for composition and properties
+        - ``fuel_manager.py``: fuel manager utility
+        - ``build_docs.py``: documentation builder utility
+        - ``clean_docs.py``: documentation cleaner utility
+        - ``format_code.py``: code formatter utility
 
 - **tests:**  directory containing CI unit tests for FuelLib. The CI test checks if the cumulative error of property predictions of a new proposed model are less than or equal to the current model.
     
diff --git a/fuellib/build_docs.py b/fuellib/cli/build_docs.py
similarity index 87%
rename from fuellib/build_docs.py
rename to fuellib/cli/build_docs.py
index 8f6597a..daab646 100644
--- a/fuellib/build_docs.py
+++ b/fuellib/cli/build_docs.py
@@ -16,8 +16,11 @@ def main():
 
     Changes to the docs directory and runs sphinx-build to generate HTML documentation.
     """
-    # Get the directory of this script (fuellib package)
-    fuellib_dir = os.path.dirname(os.path.abspath(__file__))
+    # Get the directory of this script (fuellib/cli)
+    cli_dir = os.path.dirname(os.path.abspath(__file__))
+
+    # Get the fuellib package directory (one level up from cli)
+    fuellib_dir = os.path.dirname(cli_dir)
 
     # Get the project root (one level up from fuellib package)
     project_root = os.path.dirname(fuellib_dir)
diff --git a/fuellib/clean_docs.py b/fuellib/cli/clean_docs.py
similarity index 86%
rename from fuellib/clean_docs.py
rename to fuellib/cli/clean_docs.py
index ca0b453..d95ef0e 100644
--- a/fuellib/clean_docs.py
+++ b/fuellib/cli/clean_docs.py
@@ -12,8 +12,11 @@ def main():
     Cleans up the Sphinx build output in docs/_build/ and
     generated documentation in docs/generated/
     """
-    # Get the directory of this script (fuellib package)
-    fuellib_dir = os.path.dirname(os.path.abspath(__file__))
+    # Get the directory of this script (fuellib/cli)
+    cli_dir = os.path.dirname(os.path.abspath(__file__))
+
+    # Get the fuellib package directory (one level up from cli)
+    fuellib_dir = os.path.dirname(cli_dir)
 
     # Get the project root (one level up from fuellib package)
     project_root = os.path.dirname(fuellib_dir)
diff --git a/fuellib/format_code.py b/fuellib/cli/format_code.py
similarity index 83%
rename from fuellib/format_code.py
rename to fuellib/cli/format_code.py
index 7d846f1..25f958d 100644
--- a/fuellib/format_code.py
+++ b/fuellib/cli/format_code.py
@@ -7,8 +7,11 @@
 
 def main():
     """Run Black formatter on all Python files in the repository."""
-    # Get the directory of this script (fuellib package)
-    fuellib_dir = os.path.dirname(os.path.abspath(__file__))
+    # Get the directory of this script (fuellib/cli)
+    cli_dir = os.path.dirname(os.path.abspath(__file__))
+
+    # Get the fuellib package directory (one level up from cli)
+    fuellib_dir = os.path.dirname(cli_dir)
 
     # Get the project root (one level up from fuellib package)
     project_root = os.path.dirname(fuellib_dir)
diff --git a/fuellib/cli/_fuel_manager.py b/fuellib/cli/fuel_manager.py
similarity index 100%
rename from fuellib/cli/_fuel_manager.py
rename to fuellib/cli/fuel_manager.py
diff --git a/pyproject.toml b/pyproject.toml
index 2aa89f3..89303b0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -48,9 +48,9 @@ dev = [
 [project.scripts]
 fl-export-converge = "fuellib.exporters.converge:main"
 fl-export-pele = "fuellib.exporters.pele:main"
-fl-build-docs = "fuellib.build_docs:main"
-fl-clean-docs = "fuellib.clean_docs:main"
-fl-format = "fuellib.format_code:main"
+fl-build-docs = "fuellib.cli.build_docs:main"
+fl-clean-docs = "fuellib.cli.clean_docs:main"
+fl-format = "fuellib.cli.format_code:main"
 fl-eps2K = "fuellib.cli.transport_props_converter:eps2K_main"
 fl-C2K = "fuellib.cli.temp_converter:c2k_main"
 fl-K2C = "fuellib.cli.temp_converter:k2c_main"
@@ -60,7 +60,7 @@ fl-F2K = "fuellib.cli.temp_converter:f2k_main"
 fl-K2F = "fuellib.cli.temp_converter:k2f_main"
 fl-plt-comp = "fuellib.cli.plotting:comp_main"
 fl-plt-props = "fuellib.cli.plotting:props_main"
-fl-fuels = "fuellib.cli._fuel_manager:list_fuels_main"
+fl-fuels = "fuellib.cli.fuel_manager:list_fuels_main"
 
 [project.urls]
 Repository = "https://github.com/NatLabRockies/FuelLib"
diff --git a/tests/test_source_docstrings.py b/tests/test_source_docstrings.py
index c240cf6..bdadbb8 100644
--- a/tests/test_source_docstrings.py
+++ b/tests/test_source_docstrings.py
@@ -77,9 +77,10 @@ def test_source_function_documentation(self):
             fuellib_dir / "utility.py",
             fuellib_dir / "exporters" / "pele.py",
             fuellib_dir / "exporters" / "converge.py",
-            fuellib_dir / "build_docs.py",
-            fuellib_dir / "clean_docs.py",
-            fuellib_dir / "format_code.py",
+            fuellib_dir / "cli" / "fuel_manager.py",
+            fuellib_dir / "cli" / "build_docs.py",
+            fuellib_dir / "cli" / "clean_docs.py",
+            fuellib_dir / "cli" / "format_code.py",
         ]
 
         total_count = 0

From 052e84c2fb247e2d668fca39021de1ea1c780123 Mon Sep 17 00:00:00 2001
From: Dave Montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 08:47:23 -0600
Subject: [PATCH 37/48] Apply suggestions from code review

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 .github/workflows/documentation.yml | 2 +-
 docs/conf.py                        | 4 +++-
 docs/index.rst                      | 2 +-
 docs/sourcecode.rst                 | 4 ++--
 docs/tutorials-basic.rst            | 6 +++---
 5 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 4492efb..97d0a69 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -36,7 +36,7 @@ jobs:
 
       - name: Build docs
         run: |
-          fl-build-docs
+          fl-build-docs -W
 
       - name: Upload artifact (for PR preview or later steps)
         uses: actions/upload-artifact@v4
diff --git a/docs/conf.py b/docs/conf.py
index f8d8fc1..2b6e702 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -6,7 +6,9 @@
 import sys
 
 # Add parent directory to path so we can import fuellib
-sys.path.insert(0, os.path.abspath(".."))
+DOCS_DIR = os.path.abspath(os.path.dirname(__file__))
+PROJECT_ROOT = os.path.abspath(os.path.join(DOCS_DIR, ".."))
+sys.path.insert(0, PROJECT_ROOT)
 
 
 # -- Project information -----------------------------------------------------
diff --git a/docs/index.rst b/docs/index.rst
index 4da9144..fc402bc 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -52,7 +52,7 @@ After installation, the command-line exporters for exporting fuel data will be a
    fl-export-pele -h          # Export for PelePhysics simulations
    fl-export-converge -h      # Export for Converge simulations
 
-For more detailed information or development setup, see the `Contributing <contributing.html>`_ page.
+For more detailed information or development setup, see the `Contributing <development.html>`_ page.
 
 **Package Requirements**
 
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index 4e1bf19..ba2134c 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -21,8 +21,8 @@ FuelLib File Organization
         - **fuelData:** 
             - **gcData:** directory containing a collection of GCxGC compositional data by weight percentages
             - **groupDecompositionData:** directory containing a collection of functional group decompositions
-            - **propertiesData:** directory containing measurement or predicted data for validation (see *fuelData/dataReferences.md*)
-            - ``fuel_metadata.yaml``: YAML file that maps fuel names to their decomposition files and optional metadata fields (see *fuelData/fuel_metadata_template.yaml* for template)
+            - **propertiesData:** directory containing measurement or predicted data used for validation
+            - ``fuel_metadata.yaml``: YAML file that maps fuel names to their decomposition files and optional metadata fields
     - **exporters:** subpackage with CLI exporters for generating fuel properties
     
         - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index 12a1c15..e06ca96 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -25,10 +25,10 @@ Required Input Files
 
 FuelLib comes with a variety of built-in fuels with pre-populated input files, but you can also add your own custom fuels by providing the required input files. Each fuel requires two input files:
 
-- ``FuelLib/fuelData/gcData/<fuel_name>_init.csv``: the initial weight percentage composition of the fuel components (must include columns "Compound" and "Weight %")
-- ``FuelLib/fuelData/groupDecompositionData/<fuel_name>.csv``: the fundamental group decomposition for each component of the fuel (must have columns for groups in the same order as `gcmTable <https://github.com/NatLabRockies/FuelLib/blob/main/gcmTableData/gcmTable.csv>`_)
+- ``fuellib/data/fuelData/gcData/<fuel_name>_init.csv``: the initial weight percentage composition of the fuel components (must include columns "Compound" and "Weight %")
+- ``fuellib/data/fuelData/groupDecompositionData/<fuel_name>.csv``: the fundamental group decomposition for each component of the fuel (must have columns for groups in the same order as `gcmTable <https://github.com/NatLabRockies/FuelLib/blob/main/fuellib/data/gcmTableData/gcmTable.csv>`_)
 
-These two required files must have the same number of rows and the same order of components. Many examples can be found in the `fuelData <https://github.com/NatLabRockies/FuelLib/tree/main/fuelData>`_ directory.
+These two required files must have the same number of rows and the same order of components. Many examples can be found in the `fuellib/data/fuelData <https://github.com/NatLabRockies/FuelLib/tree/main/fuellib/data/fuelData>`_ directory in the repository. When working with an installed package, prefer ``fuellib.get_fueldata_dir()`` to discover the local fuel-data directory instead of hard-coding package paths.
 
 **Fuel Metadata**
 

From ffe5ac52f572d993cd647b9db21df22a43f0cdcf Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 08:57:45 -0600
Subject: [PATCH 38/48] Implment suggestions from review.

---
 fuellib/cli/fuel_manager.py     | 19 +++++++++++++++----
 fuellib/convert.py              |  1 -
 pyproject.toml                  |  1 +
 tests/test_source_docstrings.py |  1 +
 4 files changed, 17 insertions(+), 5 deletions(-)

diff --git a/fuellib/cli/fuel_manager.py b/fuellib/cli/fuel_manager.py
index e0168e9..7e3095b 100644
--- a/fuellib/cli/fuel_manager.py
+++ b/fuellib/cli/fuel_manager.py
@@ -7,6 +7,7 @@
 
 import os
 import argparse
+import warnings
 import fuellib as fl
 
 try:
@@ -21,7 +22,8 @@ def load_fuel_metadata(fuel_data_dir=None):
     """
     Load fuel metadata from YAML file if available.
 
-    :param fuel_data_dir: Optional directory containing fuel data (e.g., customFuels/fuelData).
+    :param fuel_data_dir: Optional directory containing fuel data (parent of gcData/, 
+                         groupDecompositionData/, and fuel_metadata.yaml).
                          If None, loads from embedded FuelLib data.
     :type fuel_data_dir: str, optional
     :return: Dictionary of fuel metadata or empty dict if not available
@@ -43,8 +45,16 @@ def load_fuel_metadata(fuel_data_dir=None):
             with open(metadata_file, "r") as f:
                 data = yaml.safe_load(f)
                 return data.get("fuels", {}) if data else {}
-    except Exception as e:
-        pass
+    except yaml.YAMLError as e:
+        warnings.warn(
+            f"Failed to parse fuel metadata from {metadata_file}: {e}",
+            stacklevel=2
+        )
+    except OSError as e:
+        warnings.warn(
+            f"Failed to read fuel metadata from {metadata_file}: {e}",
+            stacklevel=2
+        )
 
     return {}
 
@@ -62,7 +72,8 @@ def list_fuels_main():
         "--fuel_data_dir",
         default=None,
         metavar="PATH",
-        help="Directory where fuel data files are located (e.g., customFuels/fuelData). If not specified, uses embedded FuelLib data.",
+        help="Directory containing fuel data (with gcData/, groupDecompositionData/, and fuel_metadata.yaml). "
+             "If not specified, uses embedded FuelLib data.",
     )
     parser.add_argument(
         "-v",
diff --git a/fuellib/convert.py b/fuellib/convert.py
index a29133b..a8a4c3e 100644
--- a/fuellib/convert.py
+++ b/fuellib/convert.py
@@ -1,6 +1,5 @@
 """Unit conversion functions."""
 
-import numpy as np
 from .constants import k_B, N_A
 
 
diff --git a/pyproject.toml b/pyproject.toml
index 89303b0..9c0be71 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -73,6 +73,7 @@ packages = ["fuellib", "fuellib.exporters", "fuellib.cli"]
 [tool.setuptools.package-data]
 fuellib = [
     "data/**/*.csv",
+    "data/**/*.yaml",
 ]
 
 [tool.black]
diff --git a/tests/test_source_docstrings.py b/tests/test_source_docstrings.py
index bdadbb8..1a55638 100644
--- a/tests/test_source_docstrings.py
+++ b/tests/test_source_docstrings.py
@@ -72,6 +72,7 @@ def test_source_function_documentation(self):
         # Check main module, public API modules, exporter scripts, and CLI entry points
         py_files = [
             fuellib_dir / "__init__.py",
+            fuellib_dir / "_data_locator.py",
             fuellib_dir / "fuel.py",
             fuellib_dir / "convert.py",
             fuellib_dir / "utility.py",

From 16c1763c1b8c506388f7ffbdab93460c7617f0e0 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 09:08:35 -0600
Subject: [PATCH 39/48] Consolidate redundant POSF decomposition files

- Rename posf10264.csv to posf-cat-a.csv (Conventional ATM Surrogate)
- Delete duplicate files: posf4658.csv, posf10289.csv, posf10325.csv
  (verified identical via checksum: 4026242a7a35eba58a47f3e9a38a025e)
- Update fuel_metadata.yaml to point all four conventional POSF fuels
  to the consolidated posf-cat-a decomposition file
- Reduces groupDecompositionData/ from 14 to 11 files
- All fuels remain discoverable via CLI and API
- Verified: test_api.py passes, fl-fuels lists all 13 fuels correctly,
  all five POSF fuels (posf4658, posf10264, posf10289, posf10325, posf11498)
  instantiate successfully
- posf11498 (ATJ, isoparaffinic) remains separate as unique composition

This change improves maintainability by eliminating file duplication while
preserving distinct fuel metadata (names, sources, descriptions) through
the fuel_metadata.yaml mapping.
---
 fuellib/data/fuelData/fuel_metadata.yaml      |  8 +--
 .../{posf10264.csv => posf-cat-a.csv}         |  0
 .../groupDecompositionData/posf10289.csv      | 68 -------------------
 .../groupDecompositionData/posf10325.csv      | 68 -------------------
 .../groupDecompositionData/posf4658.csv       | 68 -------------------
 pyproject.toml                                |  2 +-
 6 files changed, 5 insertions(+), 209 deletions(-)
 rename fuellib/data/fuelData/groupDecompositionData/{posf10264.csv => posf-cat-a.csv} (100%)
 delete mode 100644 fuellib/data/fuelData/groupDecompositionData/posf10289.csv
 delete mode 100644 fuellib/data/fuelData/groupDecompositionData/posf10325.csv
 delete mode 100644 fuellib/data/fuelData/groupDecompositionData/posf4658.csv

diff --git a/fuellib/data/fuelData/fuel_metadata.yaml b/fuellib/data/fuelData/fuel_metadata.yaml
index 0eed452..33c5453 100644
--- a/fuellib/data/fuelData/fuel_metadata.yaml
+++ b/fuellib/data/fuelData/fuel_metadata.yaml
@@ -9,7 +9,7 @@ fuels:
     source: Edwards et al. (2017)
     reference: https://doi.org/10.2514/6.2017-0146
     description: 2004 physical average jet fuel constructed by blending 5 separate jet fuels from across the U.S.
-    decomp_name: posf4658
+    decomp_name: posf-cat-a
   
   posf10264:
     name: A-1 POSF10264 JP-8
@@ -17,7 +17,7 @@ fuels:
     source: Edwards et al. (2020)
     reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
     description: Best case fuel from NJFCP. Low viscosity, low density, and a low flash point.
-    decomp_name: posf10264
+    decomp_name: posf-cat-a
   
   posf10289:
     name: A-3 POSF10289 JP-5
@@ -25,7 +25,7 @@ fuels:
     source: Edwards et al. (2020)
     reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
     description: Worst case fuel from NJFCP. High viscosity, high density, and a high flash point.
-    decomp_name: posf10289
+    decomp_name: posf-cat-a
   
   posf10325:
     name: A-2 POSF10325 Jet A
@@ -33,7 +33,7 @@ fuels:
     source: Edwards et al. (2020)
     reference: https://apps.dtic.mil/sti/pdfs/AD1093317.pdf
     description: Baseline fuel from NJFCP. Average density, average viscosity, and average flash point.
-    decomp_name: posf10325
+    decomp_name: posf-cat-a
   
   posf11498:
     name: C-1 POSF11498 ATJ
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10264.csv b/fuellib/data/fuelData/groupDecompositionData/posf-cat-a.csv
similarity index 100%
rename from fuellib/data/fuelData/groupDecompositionData/posf10264.csv
rename to fuellib/data/fuelData/groupDecompositionData/posf-cat-a.csv
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10289.csv b/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
deleted file mode 100644
index e513610..0000000
--- a/fuellib/data/fuelData/groupDecompositionData/posf10289.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf10325.csv b/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
deleted file mode 100644
index e513610..0000000
--- a/fuellib/data/fuelData/groupDecompositionData/posf10325.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/fuellib/data/fuelData/groupDecompositionData/posf4658.csv b/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
deleted file mode 100644
index e513610..0000000
--- a/fuellib/data/fuelData/groupDecompositionData/posf4658.csv
+++ /dev/null
@@ -1,68 +0,0 @@
-Compound,CH3,CH2,CH,C,CH2=CH,CH=CH,CH2=C,CH=C,C=C,CH2=C=CH,ACH,AC,ACCH3,ACCH2,ACCH,OH,ACOH,CH3CO,CH2CO,CHO,CH3COO,CH2COO,HCOO,CH3O,CH2O,CH-O,FCH2O,CH2NH2,CHNH2,CH3NH,CH2NH,CHNH,CH3N,CH2N,ACNH2,C5H4N,C5H3N,CH2CN,COOH,CH2CL,CHCL,CCL,CHCL2,CCL2,CCL3,ACCL,CH2NO2,CHNO2,ACNO2,CH2SH,I,Br,CH≡C,C≡C,CL—(C=C),ACF,HCON(CH2)2,CF3,CF2,CF,COO,CCL2F,HCCLF,CCLF2,Fspecial,CONH2,CONHCH3,CONHCH2,CON(CH3)2,CONCH3CH2,CON(CH2)2,C2H5O2,C2H4O2,CH3S,CH2S,CHS,C4H3S,C4H2S,(CH3)2CH,(CH3)3C,CH(CH3)CH(CH3),CH(CH3)C(CH3)2,C(CH3)2C(CH3)2,3 membered ring,4 membered ring,5 membered ring,6 membered ring,7 membered ring,"CHn=CHm—CHp=CHk k,n,m,p in (0,2)","CH3-CHm=CH, m in (0,1), n in (0,2)","CH2-CHm=CHn, m, n in (0,2)","CH-CHm=CHn or C-CHm=CHn, m,n m in (0,2)",Alicyclic side-chain CcyclicCm m > 1,CH3CH3,CHCHO or CCHO,CH3COCH2,CH3COCH or CH3COC,Ccyclic(=0),ACCHO,CHCOOH or CCOOH,ACCOOH,CH3COOCH or CH3COOC,COCH2COO or COCHCOO or COCCOO, CO-O-CO,ACCOO,CHOH,COH,"CHm(OH)CHn(OH), m,n in (0,2)","CHm cyclic-OH, m in (0,1)","CHm(OH)CHn(NHp), m,n,p in (0,3)",CHm(NH2)CHn(NH2),"CHm cyclic-NHp-CHn cyclic, m,n,p in (0,2)","Chm=Chn-F, m,n in (0,2)",AC-O-CHm,"CHm cyclic-S-CHn cyclic, m,n in (0,2)","CHm=CHn—F, m,n in (0,2)","CHm=CHn—Br, m,n in (0,2)","CHm=CHn—I, m,n in (0,2)",ACBr,ACI,"CHm(NH2)-COOH, m,n in (0,2)"
-Toluene,0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C2-Benzene,1,0,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C3-Benzene,1,1,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C4-Benzene,1,2,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C5-Benzene,1,3,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C6-Benzene,1,4,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C7-Benzene,1,5,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C8-Benzene,1,6,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C9-Benzene,1,7,0,0,0,0,0,0,0,0,5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C10,0,0,0,0,0,0,0,0,0,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C11,0,0,0,0,0,0,0,0,0,0,7,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C12,1,0,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Diaromatic-C13,1,1,0,0,0,0,0,0,0,0,7,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C09,0,1,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C10,0,2,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C11,1,1,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C12,1,2,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C13,1,3,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-Cycloaromatic-C14,1,4,1,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Isoparaffin,3,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Isoparaffin,3,4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Isoparaffin,3,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Isoparaffin,3,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Isoparaffin,3,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Isoparaffin,3,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Isoparaffin,3,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Isoparaffin,3,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Isoparaffin,3,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Isoparaffin,3,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Isoparaffin,3,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C18-Isoparaffin,3,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C19-Isoparaffin,3,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C20-Isoparaffin,3,16,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C07,2,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C08,2,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C09,2,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C10,2,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C11,2,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C12,2,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C13,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C14,2,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C15,2,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C16,2,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C17,2,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-n-C18,2,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C07-Monocycloparaffin,1,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Monocycloparaffin,1,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Monocycloparaffin,1,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Monocycloparaffin,1,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Monocycloparaffin,1,9,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Monocycloparaffin,1,10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Monocycloparaffin,1,11,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Monocycloparaffin,1,12,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Monocycloparaffin,1,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C16-Monocycloparaffin,1,14,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C17-Monocycloparaffin,1,15,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C08-Dicycloparaffin,0,6,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C09-Dicycloparaffin,0,7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Dicycloparaffin,0,8,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Dicycloparaffin,1,7,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Dicycloparaffin,1,8,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C13-Dicycloparaffin,1,9,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C14-Dicycloparaffin,1,10,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C15-Dicycloparaffin,1,11,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C10-Tricycloparaffin,0,6,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C11-Tricycloparaffin,0,7,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-C12-Tricycloparaffin,0,8,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 9c0be71..40f9293 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "3.0.0a1"
+version = "3.0.0a2"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}

From a9855e8cdcd0526fbcdc9251984785bacfee6e89 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 09:15:07 -0600
Subject: [PATCH 40/48] Fix plotting CLI imports - use direct imports instead
 of re-exports

- Remove unnecessary re-exports of C2K, K2C, get_props_data_from_metadata
  from main fuellib module (kept API clean)
- Update plotting.py to directly import:
  - C2K, K2C from fuellib.convert
  - get_props_data_from_metadata from fuellib._data_locator
- Replace all fl.* calls with direct function names
- This is cleaner than polluting the main API with internal CLI utilities
- Fixes: fl-plt-props -f posf10325 now works correctly
---
 CHANGES.md              | 53 +++++++++++++++++++++++++++++++++++++++++
 customFuels             |  1 +
 fuellib/cli/plotting.py | 12 ++++++----
 tutorials/customFuel.py | 36 ++++++++++++++++++++++++++++
 4 files changed, 97 insertions(+), 5 deletions(-)
 create mode 100644 CHANGES.md
 create mode 160000 customFuels
 create mode 100644 tutorials/customFuel.py

diff --git a/CHANGES.md b/CHANGES.md
new file mode 100644
index 0000000..a281472
--- /dev/null
+++ b/CHANGES.md
@@ -0,0 +1,53 @@
+This PR makes several improvements to the FuelLib project's installation, documentation, and CI workflows. The main changes include updating installation instructions and documentation to reflect new CLI tools and development workflows, switching CI and documentation builds to use editable/development installs, and modernizing the command-line exporter interface. Additionally, a new publishing guide has been added, and Sphinx documentation references and paths have been updated for consistency.
+
+## Major Changes
+
+### Module Organization & Architecture
+- **Split monolithic `FuelLib.py` into modules:**
+  - `constants.py` - Physical constants (k_B, N_A)
+  - `convert.py` - Temperature and unit conversions 
+  - `utility.py` - Mixture properties and droplet calculations 
+  - `fuel.py` - Main Fuel class for GCM calculations
+- **Reorganized repository structure for proper Python packaging:**
+  - Renamed `source` -> `fuellib` and added a `pyproject.toml` for distribution via pip and conda with proper entry point configuration 
+  - Created `fuellib/cli/` subpackage containing all command-line tools
+  - Improved package discovery and installation with `pip install -e .`, `pip install -e '.[dev]'`, and `pip install fuellib`
+  - Reworked the antiquated paths structure for managing paths between data and scripts. Users only need to `import fuellib as fl` provided a `pip install`. 
+
+### CLI Tools Expansion & Organization
+**New CLI Commands:**
+- `fl-C2K`, `fl-K2C` - Celsius/Kelvin conversion utilities
+- `fl-C2F`, `fl-F2C`, `fl-F2K`, `fl-K2F` - Additional temperature conversions
+- `fl-eps2K` - Lennard-Jones epsilon to characteristic temperature conversion
+- `fl-export-converge` - Export mixture properties for Converge CFD simulations
+- `fl-export-pele` - Export properties for PelePhysics simulations
+- `fl-plt-comp` - Composition plotting
+- `fl-plt-props` - Properties plotting
+- `fl-fuels` - List available fuels with metadata support
+
+### Testing Improvements
+- **New `test_exporters.py`:** Comprehensive integration tests for export commands (7 tests)
+- **Updated `test_source_docstrings.py`:** Now validates docstrings for all public API modules
+- `test_utilities.py` - Unit tests for utility functions and CLI temperature conversion commands
+- `test_hc_identification.py` - Unit tests for hydrocarbon classification logic
+- Simplified CI exporter job from 8 individual steps to single `test_exporters.py` call
+- Total test suite: 40 tests, all passing
+
+### Documentation & Bug Fixes
+- Fixed CSV file path in `fuelprops.rst`: `../../fuelData/` → `../fuellib/data/fuelData/`
+- Updated `sourcecode.rst` to reflect new file organization
+- Added Sphinx docstring comments to `constants.py` and `fuel.py` attributes
+- Fixed GitHub Actions failures related to decomposition metadata
+- Fixed error handling for Jet A and cycloaromatic compounds
+
+### CI/CD Modernization
+- Switched to editable/development installs (`pip install -e .` and `pip install -e '.[dev]'`)
+- Updated GitHub Actions workflows to use new installation methods
+
+## Breaking Changes (v3.0.0)
+
+Functions moved from `fuellib` namespace to submodules:
+
+- **Temperature conversions:** `fl.C2K()` → `fl.convert.C2K()`
+- **Utility functions:** `fl.mixing_rule()` → `fl.utility.mixing_rule()`  
+- **Constants:** `fl.k_B` still works, but `fl.constants.k_B` recommended
\ No newline at end of file
diff --git a/customFuels b/customFuels
new file mode 160000
index 0000000..00a19ae
--- /dev/null
+++ b/customFuels
@@ -0,0 +1 @@
+Subproject commit 00a19ae44d8a706b4fe5a4e5dec9ba6e3b8af30a
diff --git a/fuellib/cli/plotting.py b/fuellib/cli/plotting.py
index 0ddd43d..a2ff106 100644
--- a/fuellib/cli/plotting.py
+++ b/fuellib/cli/plotting.py
@@ -13,6 +13,8 @@
 import matplotlib.pyplot as plt
 import argparse
 import fuellib as fl
+from fuellib.convert import C2K, K2C
+from fuellib._data_locator import get_props_data_from_metadata
 
 
 def plot_composition(
@@ -403,7 +405,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
         if props_dir and os.path.exists(props_dir):
             # Check if metadata specifies a different props_data filename
-            props_data_name = fl.get_props_data_from_metadata(fuel_name, fuel_data_dir)
+            props_data_name = get_props_data_from_metadata(fuel_name, fuel_data_dir)
             data_filename = props_data_name if props_data_name else fuel_name
 
             data_file = os.path.join(props_dir, f"{data_filename}.csv")
@@ -421,11 +423,11 @@ def get_predictions_and_data(fuel_name, prop_name):
         # First check if experimental data exists - use its range if available
         if len(T_data) > 0:
             # Use data range if available
-            T_pred = fl.C2K(np.linspace(T_data.min(), T_data.max(), 100))
+            T_pred = C2K(np.linspace(T_data.min(), T_data.max(), 100))
         else:
             # Use property-specific default range
             temp_min, temp_max = get_temp_range(prop_name)
-            T_pred = fl.C2K(np.linspace(temp_min, temp_max, 100))
+            T_pred = C2K(np.linspace(temp_min, temp_max, 100))
 
         pred = np.zeros_like(T_pred)
         Y_li = fuel.Y_0
@@ -472,7 +474,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
             # Plot predictions
             ax[i].plot(
-                fl.K2C(T_pred),
+                K2C(T_pred),
                 pred,
                 "-",
                 color=line_color,
@@ -483,7 +485,7 @@ def get_predictions_and_data(fuel_name, prop_name):
             # Plot experimental data if available
             if len(prop_data) > 0:
                 # Get props_data name for the legend
-                props_data_name = fl.get_props_data_from_metadata(
+                props_data_name = get_props_data_from_metadata(
                     fuel_name, fuel_data_dir
                 )
                 data_label = props_data_name if props_data_name else fuel_name
diff --git a/tutorials/customFuel.py b/tutorials/customFuel.py
new file mode 100644
index 0000000..5d09a6e
--- /dev/null
+++ b/tutorials/customFuel.py
@@ -0,0 +1,36 @@
+import fuellib as fl
+
+# Load an embedded fuel
+fuel = fl.fuel("posf10264")
+
+print(f"Fuel: {fuel.name}")
+print(f"Fuel data directory: {fuel.fuelDataDir}")
+print(f"GC data directory: {fuel.fuelDataGcDir}")
+print(f"Decomposition directory: {fuel.fuelDataDecompDir}")
+print(f"Properties directory: {fuel.fuelDataPropsDir}")
+print(f"Number of compounds: {fuel.num_compounds}")
+
+# To use a custom fuel, create a directory structure like:
+# customFuels/fuelData/
+#   ├── gcData/
+#   │   └── myFuel_init.csv
+#   ├── groupDecompositionData/
+#   │   └── myFuel.csv
+#   └── propertiesData/  (optional)
+#       └── myFuel.csv
+#
+# Then load it with:
+custom_fuel = fl.fuel("hefa-S1", fuelDataDir="customFuels/fuelData")
+
+# After loading, the fuel object has the correct directory paths:
+custom_fuel.fuelDataDir
+custom_fuel.fuelDataGcDir
+custom_fuel.fuelDataDecompDir
+custom_fuel.fuelDataPropsDir
+
+print(f"\nFuel: {custom_fuel.name}")
+print(f"Fuel data directory: {custom_fuel.fuelDataDir}")
+print(f"GC data directory: {custom_fuel.fuelDataGcDir}")
+print(f"Decomposition directory: {custom_fuel.fuelDataDecompDir}")
+print(f"Properties directory: {custom_fuel.fuelDataPropsDir}")
+print(f"Number of compounds: {custom_fuel.num_compounds}")

From 6a6742e1aecdfe358f10d6ab1c6fed5681063630 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 09:17:46 -0600
Subject: [PATCH 41/48] Rename to get_fueldata_propsdata - consistent API
 naming

- Follows pattern of other data locator functions:
  get_fueldata_dir, get_fueldata_gc_dir, get_fueldata_decomp_dir,
  get_fueldata_props_dir, get_gcmtable_dir
- get_fueldata_propsdata returns properties data name from fuel_metadata
- Updated across _data_locator.py, __init__.py, and plotting.py
---
 fuellib/__init__.py      |  7 +++++++
 fuellib/_data_locator.py |  2 +-
 fuellib/cli/plotting.py  | 12 +++++-------
 3 files changed, 13 insertions(+), 8 deletions(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 2354dab..777337d 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -27,8 +27,12 @@
     get_fueldata_decomp_dir,
     get_fueldata_props_dir,
     get_gcmtable_dir,
+    get_fueldata_propsdata,
 )
 
+# Import conversion functions for convenience
+from .convert import C2K, K2C
+
 # Import submodules for namespacing
 from . import constants
 from . import convert
@@ -43,6 +47,9 @@
     "get_fueldata_decomp_dir",
     "get_fueldata_props_dir",
     "get_gcmtable_dir",
+    "get_fueldata_propsdata",
+    "C2K",
+    "K2C",
     "constants",
     "convert",
     "utility",
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index 865248a..a3dcb11 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -207,7 +207,7 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
     return fuel_meta["decomp_name"]
 
 
-def get_props_data_from_metadata(fuel_name, fuel_data_dir=None):
+def get_fueldata_propsdata(fuel_name, fuel_data_dir=None):
     """
     Load properties data name mapping from fuel_metadata.yaml.
 
diff --git a/fuellib/cli/plotting.py b/fuellib/cli/plotting.py
index a2ff106..43548d0 100644
--- a/fuellib/cli/plotting.py
+++ b/fuellib/cli/plotting.py
@@ -13,8 +13,6 @@
 import matplotlib.pyplot as plt
 import argparse
 import fuellib as fl
-from fuellib.convert import C2K, K2C
-from fuellib._data_locator import get_props_data_from_metadata
 
 
 def plot_composition(
@@ -405,7 +403,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
         if props_dir and os.path.exists(props_dir):
             # Check if metadata specifies a different props_data filename
-            props_data_name = get_props_data_from_metadata(fuel_name, fuel_data_dir)
+            props_data_name = fl.get_fueldata_propsdata(fuel_name, fuel_data_dir)
             data_filename = props_data_name if props_data_name else fuel_name
 
             data_file = os.path.join(props_dir, f"{data_filename}.csv")
@@ -423,11 +421,11 @@ def get_predictions_and_data(fuel_name, prop_name):
         # First check if experimental data exists - use its range if available
         if len(T_data) > 0:
             # Use data range if available
-            T_pred = C2K(np.linspace(T_data.min(), T_data.max(), 100))
+            T_pred = fl.C2K(np.linspace(T_data.min(), T_data.max(), 100))
         else:
             # Use property-specific default range
             temp_min, temp_max = get_temp_range(prop_name)
-            T_pred = C2K(np.linspace(temp_min, temp_max, 100))
+            T_pred = fl.C2K(np.linspace(temp_min, temp_max, 100))
 
         pred = np.zeros_like(T_pred)
         Y_li = fuel.Y_0
@@ -474,7 +472,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
             # Plot predictions
             ax[i].plot(
-                K2C(T_pred),
+                fl.K2C(T_pred),
                 pred,
                 "-",
                 color=line_color,
@@ -485,7 +483,7 @@ def get_predictions_and_data(fuel_name, prop_name):
             # Plot experimental data if available
             if len(prop_data) > 0:
                 # Get props_data name for the legend
-                props_data_name = get_props_data_from_metadata(
+                props_data_name = fl.get_fueldata_propsdata(
                     fuel_name, fuel_data_dir
                 )
                 data_label = props_data_name if props_data_name else fuel_name

From 6719200e4784a327f2784533dcbaff920942b43c Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 09:35:31 -0600
Subject: [PATCH 42/48] Clean up API exports - use consistent module
 namespacing

- Remove k_B and N_A from top-level (access via fl.constants.k_B, fl.constants.N_A)
- Use 'from ._data_locator import *' instead of explicit function list
- Add __all__ to _data_locator.py to control what gets exported
- Cleaner and more consistent with submodule pattern (fl.convert.*, fl.constants.*, fl.utility.*)
- Keep only essential items at top level: fuel, submodules (constants, convert, utility)
---
 fuellib/__init__.py           | 22 +++++-----------------
 fuellib/_data_locator.py      | 12 ++++++++++++
 fuellib/cli/plotting.py       |  6 +++---
 fuellib/exporters/converge.py |  9 ++++++++-
 fuellib/exporters/pele.py     |  9 +++++++++
 5 files changed, 37 insertions(+), 21 deletions(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 777337d..168d0fa 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -20,18 +20,8 @@
 # Import fuel class
 from .fuel import fuel
 
-# Import data locator functions for convenience
-from ._data_locator import (
-    get_fueldata_dir,
-    get_fueldata_gc_dir,
-    get_fueldata_decomp_dir,
-    get_fueldata_props_dir,
-    get_gcmtable_dir,
-    get_fueldata_propsdata,
-)
-
-# Import conversion functions for convenience
-from .convert import C2K, K2C
+# Import data locator functions
+from ._data_locator import *
 
 # Import submodules for namespacing
 from . import constants
@@ -40,16 +30,14 @@
 
 __all__ = [
     "fuel",
-    "k_B",
-    "N_A",
+    "get_data_dir",
+    "get_gcmtable_dir",
     "get_fueldata_dir",
     "get_fueldata_gc_dir",
     "get_fueldata_decomp_dir",
     "get_fueldata_props_dir",
-    "get_gcmtable_dir",
+    "get_decomp_name_from_metadata",
     "get_fueldata_propsdata",
-    "C2K",
-    "K2C",
     "constants",
     "convert",
     "utility",
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index a3dcb11..70b8941 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -21,6 +21,18 @@
     HAS_YAML = False
 
 
+__all__ = [
+    "get_data_dir",
+    "get_gcmtable_dir",
+    "get_fueldata_dir",
+    "get_fueldata_gc_dir",
+    "get_fueldata_decomp_dir",
+    "get_fueldata_props_dir",
+    "get_decomp_name_from_metadata",
+    "get_fueldata_propsdata",
+]
+
+
 def _validate_fuel_data_dir(fuel_data_dir):
     """
     Validate that a custom fuel data directory has required subdirectories.
diff --git a/fuellib/cli/plotting.py b/fuellib/cli/plotting.py
index 43548d0..9f00159 100644
--- a/fuellib/cli/plotting.py
+++ b/fuellib/cli/plotting.py
@@ -421,11 +421,11 @@ def get_predictions_and_data(fuel_name, prop_name):
         # First check if experimental data exists - use its range if available
         if len(T_data) > 0:
             # Use data range if available
-            T_pred = fl.C2K(np.linspace(T_data.min(), T_data.max(), 100))
+            T_pred = fl.convert.C2K(np.linspace(T_data.min(), T_data.max(), 100))
         else:
             # Use property-specific default range
             temp_min, temp_max = get_temp_range(prop_name)
-            T_pred = fl.C2K(np.linspace(temp_min, temp_max, 100))
+            T_pred = fl.convert.C2K(np.linspace(temp_min, temp_max, 100))
 
         pred = np.zeros_like(T_pred)
         Y_li = fuel.Y_0
@@ -472,7 +472,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
             # Plot predictions
             ax[i].plot(
-                fl.K2C(T_pred),
+                fl.convert.K2C(T_pred),
                 pred,
                 "-",
                 color=line_color,
diff --git a/fuellib/exporters/converge.py b/fuellib/exporters/converge.py
index dc4d0f6..bbcddd1 100644
--- a/fuellib/exporters/converge.py
+++ b/fuellib/exporters/converge.py
@@ -639,10 +639,17 @@ def main():
     print(f"    Export directory: {export_dir}")
     print(f"    Fuel data directory: {fuel_data_dir}")
 
+    # Get decomposition name from metadata
+    try:
+        decomp_name = fl.get_decomp_name_from_metadata(fuel_name, fuel_data_dir)
+    except (FileNotFoundError, KeyError):
+        # If metadata lookup fails, fall back to fuel_name
+        decomp_name = fuel_name
+
     # Check if necessary files exist in the fuelData directory
     print("\nChecking for required files...")
     gcxgc_file = os.path.join(fuel_data_dir, f"gcData/{fuel_name}_init.csv")
-    decomp_file = os.path.join(fuel_data_dir, f"groupDecompositionData/{fuel_name}.csv")
+    decomp_file = os.path.join(fuel_data_dir, f"groupDecompositionData/{decomp_name}.csv")
     if not os.path.exists(gcxgc_file):
         err = f"GCXGC file for {fuel_name} not found in {fuel_data_dir}/gcData. gcxgc_file = {gcxgc_file}"
         raise FileNotFoundError(err)
diff --git a/fuellib/exporters/pele.py b/fuellib/exporters/pele.py
index cf44b23..51bfa35 100644
--- a/fuellib/exporters/pele.py
+++ b/fuellib/exporters/pele.py
@@ -656,6 +656,15 @@ def main():
     fuel_name = args.fuel_name
     fuel_decomp_name = args.fuel_decomp_name
     fuel_data_dir = args.fuel_data_dir
+    
+    # If decomposition name not provided, read from metadata
+    if fuel_decomp_name is None:
+        try:
+            fuel_decomp_name = fl.get_decomp_name_from_metadata(fuel_name, fuel_data_dir)
+        except (FileNotFoundError, KeyError):
+            # If metadata lookup fails, fall back to fuel_name
+            fuel_decomp_name = None
+    
     units = args.units.lower()
     dep_fuel_names = args.dep_fuel_names
     use_pp_keys = args.use_pp_keys

From 185ecb5c8535889c02a9d4030b2ad49f17d46535 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 09:38:48 -0600
Subject: [PATCH 43/48] Remove unused import of k_B and N_A

- Not exported in __all__, so import was dead code
- Access via fl.constants.k_B, fl.constants.N_A when needed
---
 fuellib/__init__.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 168d0fa..99f2996 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -14,9 +14,6 @@
 except Exception:
     __version__ = "unknown"
 
-# Import constants
-from .constants import k_B, N_A
-
 # Import fuel class
 from .fuel import fuel
 

From 4a3f0ce2b2ab794ac858c6e6f81ffd1daa67865e Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 11:22:48 -0600
Subject: [PATCH 44/48] Simplify API, update docs

---
 README.md                       | 12 +++--
 docs/development.rst            |  1 -
 docs/index.rst                  | 23 +++++-----
 docs/sourcecode.rst             |  3 ++
 docs/tutorials-basic.rst        |  4 +-
 docs/tutorials-custom-fuels.rst | 15 ++-----
 fuellib/__init__.py             |  4 +-
 fuellib/_data_locator.py        |  8 ++--
 fuellib/cli/fuel_manager.py     | 10 ++---
 fuellib/cli/plotting.py         | 79 ++++++++++++---------------------
 fuellib/exporters/converge.py   | 20 +--------
 fuellib/exporters/pele.py       | 34 +++-----------
 fuellib/fuel.py                 |  4 +-
 pyproject.toml                  |  4 +-
 tests/test_api.py               | 15 +++++--
 tests/test_exporters.py         | 56 +++++++++++++++++++++++
 tests/test_utilities.py         |  4 +-
 17 files changed, 146 insertions(+), 150 deletions(-)

diff --git a/README.md b/README.md
index 84e9df7..258acd5 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,11 @@ The easiest way to install FuelLib is via pip:
 pip install fuellib
 ```
 
-This will make the command-line exporters (`fl-export-pele` and `fl-export-converge`) available.
+This will make the command-line tools available, including:
+- `fl-export-pele` and `fl-export-converge` for exporting fuel properties
+- `fl-plt-props` and `fl-plt-comp` for plotting fuel composition and properties
+- `fl-fuels` for listing available fuels
+- Temperature and unit conversion utilities
 
 ### Option 2: Development Installation (For Contributors)
 
@@ -39,12 +43,12 @@ pip install -e '.[dev]'  # Install with development tools (docs, testing, format
 
 See the [Contributing](https://NatLabRockies.github.io/FuelLib/development.html) page for more detailed setup instructions and contribution guidelines.
 
-### Optional: Create a Conda Environment
+### Optional: Use a Dedicated Conda Environment
 
-To use a specific conda environment:
+For better dependency isolation, you can create a conda environment first:
 
 ```bash
-conda create --name fuellib-env python numpy pandas scipy matplotlib
+conda create --name fuellib-env python
 conda activate fuellib-env
 pip install fuellib
 ```
diff --git a/docs/development.rst b/docs/development.rst
index a20bd9d..016541c 100644
--- a/docs/development.rst
+++ b/docs/development.rst
@@ -19,7 +19,6 @@ This installs FuelLib with all development tools:
 - **Documentation:** Sphinx, sphinx-rtd-theme, sphinxcontrib-bibtex
 - **Code formatting:** Black
 - **Testing:** pytest
-- **Plotting:** matplotlib
 
 Optional: Conda Environment
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/docs/index.rst b/docs/index.rst
index fc402bc..9b3a2bb 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -19,16 +19,15 @@ Citing this work
 
 If you use FuelLib in your research, please cite the following software record:
 
-.. code-block:: none
+Montgomery, David, Appukuttan, Sreejith, Yellapantula, Shashank, Perry, Bruce, and Binswanger, Adam. FuelLib (Fuel Library) [SWR-25-26]. Computer Software. https://github.com/NatLabRockies/FuelLib. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO). 27 Feb. 2025. Web. `doi:10.11578/dc.20250317.1 <https://doi.org/10.11578/dc.20250317.1>`_.
 
-   Montgomery, David, Appukuttan, Sreejith, Yellapantula, Shashank, Perry, Bruce, and Binswanger, Adam. FuelLib (Fuel Library) [SWR-25-26]. Computer Software. https://github.com/NatLabRockies/FuelLib. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO). 27 Feb. 2025. Web. doi:10.11578/dc.20250317.1.
+Or in BibTeX format:
 
 .. code-block:: bibtex
 
-   @misc{montgomery_fuellib_2025,
+   @misc{fuellib_2025,
       title = {FuelLib (Fuel Library) [SWR-25-26]},
       author = {Montgomery, David and Appukuttan, Sreejith and Yellapantula, Shashank and Perry, Bruce and Binswanger, Adam},
-      abstractNote = {FuelLib is a library that utilizes the group contribution method (GCM) for calculating thermodynamic properties of hydro-carbon jet fuels. FuelLib utilizes the tables and functions of the GCM as proposed by Constantinou and Gani (1994) and Constantinou, Gani and O'Connel (1995), with additional physical properties discussed in Govindaraju & Ihme (2016). The code is based on Pavan B. Govindaraju's Matlab implementation of the GCM, and has been expanded to include additional thermodynamic properties and mixture properties. The fuel library contains gas chromatography (GC x GC) data for a variety of fuels ranging from simple single component fuels to complex jet fuels. The GC x GC data for POSF jet fuels comes from Edwards (2020).},
       doi = {10.11578/dc.20250317.1},
       url = {https://doi.org/10.11578/dc.20250317.1},
       howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20250317.1}},
@@ -45,22 +44,20 @@ The easiest way to install FuelLib is via pip:
 
    pip install fuellib
 
-After installation, the command-line exporters for exporting fuel data will be available:
+After installation, several command command-line tools will be available for exporting fuel data and plotting fuel properties. See the `CLI Tutorials <tutorials-cli.html>`_ for detailed usage examples and options.
 
-.. code-block:: bash
-
-   fl-export-pele -h          # Export for PelePhysics simulations
-   fl-export-converge -h      # Export for Converge simulations
-
-For more detailed information or development setup, see the `Contributing <development.html>`_ page.
+For more detailed information on a development setup, see the `Contributing <development.html>`_ page.
 
 **Package Requirements**
 
 FuelLib requires:
 
-- numpy ≥1.19.0, pandas ≥1.0.0, scipy ≥1.5.0
+- numpy ≥1.19.0
+- pandas ≥1.0.0
+- scipy ≥1.5.0
+- matplotlib ≥3.0.0
 
-Development tools (Sphinx, Black, pytest, matplotlib) are available for developers installing from source; see the installation instructions in the tutorials section.
+Development tools (Sphinx, Black, pytest) are available for developers installing from source; see the installation instructions in the `Contributing <development.html>`_ section.
 
 .. toctree::
    :maxdepth: 4
diff --git a/docs/sourcecode.rst b/docs/sourcecode.rst
index ba2134c..84fc942 100644
--- a/docs/sourcecode.rst
+++ b/docs/sourcecode.rst
@@ -17,12 +17,15 @@ FuelLib File Organization
     - ``convert.py``: temperature conversion functions and Lennard-Jones calculations
     - ``utility.py``: utility functions for mixture properties and droplet calculations
     - ``_data_locator.py``: internal module for locating and validating fuel data directories
+    
     - **data**: directory containing fuel data and metadata    
+        
         - **fuelData:** 
             - **gcData:** directory containing a collection of GCxGC compositional data by weight percentages
             - **groupDecompositionData:** directory containing a collection of functional group decompositions
             - **propertiesData:** directory containing measurement or predicted data used for validation
             - ``fuel_metadata.yaml``: YAML file that maps fuel names to their decomposition files and optional metadata fields
+    
     - **exporters:** subpackage with CLI exporters for generating fuel properties
     
         - ``converge.py``: exporter for Converge CFD simulations (CLI: ``fl-export-converge``)
diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index e06ca96..eac461f 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -14,9 +14,9 @@ Install FuelLib using pip:
 
    pip install fuellib
 
-The required dependencies (numpy ≥1.19.0, pandas ≥1.0.0, scipy ≥1.5.0) will be installed automatically.
+The required dependencies will be installed automatically.
 
-For information about contributing or development setup, see the `Contributing <development.html>`_ page.
+For information about contributing or installation for development, see the `Contributing <development.html>`_ page.
 
 If you want to run the example scripts, you can either clone the repository or download individual tutorial files from the `tutorials <https://github.com/NatLabRockies/FuelLib/tree/main/tutorials>`_ directory on GitHub.
 
diff --git a/docs/tutorials-custom-fuels.rst b/docs/tutorials-custom-fuels.rst
index 19f218b..5988732 100644
--- a/docs/tutorials-custom-fuels.rst
+++ b/docs/tutorials-custom-fuels.rst
@@ -22,16 +22,15 @@ Create a fuel data directory with this structure:
 - ``gcData/``: Contains GC×GC composition data (one file per fuel)
 - ``groupDecompositionData/``: Contains functional group decomposition data (one file per fuel)
 
-**Required file:**
+**Required metadata:**
 
 - ``fuel_metadata.yaml``: Configuration file that maps fuel names to their decomposition files
 
 Metadata Configuration
 ----------------------
 
-Each custom fuel directory must have a ``fuel_metadata.yaml`` file at the root of the ``fuelData`` directory. This file defines the mapping from fuel names to their group decomposition files.
-
-**Minimal format:**
+Each custom fuel directory must have a ``fuel_metadata.yaml`` file at the root of the directory. This file defines the mapping from fuel names to their group decomposition files.
+At a minimum, each fuel entry must include the ``decomp_name`` field that specifies the name of the decomposition file (without the ``.csv`` extension) in the ``groupDecompositionData/`` directory as shown below.
 
 .. code-block:: yaml
 
@@ -39,13 +38,7 @@ Each custom fuel directory must have a ``fuel_metadata.yaml`` file at the root o
       your_fuel:
         decomp_name: your_fuel
 
-**Fields:**
-
-- ``decomp_name`` (required): Name of the decomposition CSV file (without ``.csv`` extension). Must match a file in ``groupDecompositionData/``
-
-**Optional fields:**
-
-You can add additional metadata for documentation:
+Additional metadata can be included for documentation purposes, but is not required for FuelLib to function. The following fields are available for each fuel:
 
 .. code-block:: yaml
 
diff --git a/fuellib/__init__.py b/fuellib/__init__.py
index 99f2996..93d8f3d 100644
--- a/fuellib/__init__.py
+++ b/fuellib/__init__.py
@@ -33,8 +33,8 @@
     "get_fueldata_gc_dir",
     "get_fueldata_decomp_dir",
     "get_fueldata_props_dir",
-    "get_decomp_name_from_metadata",
-    "get_fueldata_propsdata",
+    "get_metadata_decomp_name",
+    "get_metadata_props_data",
     "constants",
     "convert",
     "utility",
diff --git a/fuellib/_data_locator.py b/fuellib/_data_locator.py
index 70b8941..c514cd7 100644
--- a/fuellib/_data_locator.py
+++ b/fuellib/_data_locator.py
@@ -28,8 +28,8 @@
     "get_fueldata_gc_dir",
     "get_fueldata_decomp_dir",
     "get_fueldata_props_dir",
-    "get_decomp_name_from_metadata",
-    "get_fueldata_propsdata",
+    "get_metadata_decomp_name",
+    "get_metadata_props_data",
 ]
 
 
@@ -137,7 +137,7 @@ def get_fueldata_props_dir():
     return _get_props_dir_for_fueldata(get_fueldata_dir())
 
 
-def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
+def get_metadata_decomp_name(fuel_name, fuel_data_dir=None):
     """
     Load decomposition name mapping from fuel_metadata.yaml.
 
@@ -219,7 +219,7 @@ def get_decomp_name_from_metadata(fuel_name, fuel_data_dir=None):
     return fuel_meta["decomp_name"]
 
 
-def get_fueldata_propsdata(fuel_name, fuel_data_dir=None):
+def get_metadata_props_data(fuel_name, fuel_data_dir=None):
     """
     Load properties data name mapping from fuel_metadata.yaml.
 
diff --git a/fuellib/cli/fuel_manager.py b/fuellib/cli/fuel_manager.py
index 7e3095b..bc18933 100644
--- a/fuellib/cli/fuel_manager.py
+++ b/fuellib/cli/fuel_manager.py
@@ -22,7 +22,7 @@ def load_fuel_metadata(fuel_data_dir=None):
     """
     Load fuel metadata from YAML file if available.
 
-    :param fuel_data_dir: Optional directory containing fuel data (parent of gcData/, 
+    :param fuel_data_dir: Optional directory containing fuel data (parent of gcData/,
                          groupDecompositionData/, and fuel_metadata.yaml).
                          If None, loads from embedded FuelLib data.
     :type fuel_data_dir: str, optional
@@ -47,13 +47,11 @@ def load_fuel_metadata(fuel_data_dir=None):
                 return data.get("fuels", {}) if data else {}
     except yaml.YAMLError as e:
         warnings.warn(
-            f"Failed to parse fuel metadata from {metadata_file}: {e}",
-            stacklevel=2
+            f"Failed to parse fuel metadata from {metadata_file}: {e}", stacklevel=2
         )
     except OSError as e:
         warnings.warn(
-            f"Failed to read fuel metadata from {metadata_file}: {e}",
-            stacklevel=2
+            f"Failed to read fuel metadata from {metadata_file}: {e}", stacklevel=2
         )
 
     return {}
@@ -73,7 +71,7 @@ def list_fuels_main():
         default=None,
         metavar="PATH",
         help="Directory containing fuel data (with gcData/, groupDecompositionData/, and fuel_metadata.yaml). "
-             "If not specified, uses embedded FuelLib data.",
+        "If not specified, uses embedded FuelLib data.",
     )
     parser.add_argument(
         "-v",
diff --git a/fuellib/cli/plotting.py b/fuellib/cli/plotting.py
index 9f00159..8f3cb93 100644
--- a/fuellib/cli/plotting.py
+++ b/fuellib/cli/plotting.py
@@ -61,39 +61,20 @@ def plot_composition(
     # Load the fuel
     fuel = fl.fuel(fuel_name, decompName=decomp_name, fuelDataDir=fuel_data_dir)
 
-    # Create DataFrame with compound data
-    family_names = ["n-alkane", "iso-alkane", "cyclo-alkane", "aromatic"]
+    # Create DataFrame with compound data and carbon numbers from fuel object
     df = pd.DataFrame(
         {
             "Compound": fuel.compounds,
             "Weight %": fuel.Y_0 * 100,
             "Family": fuel.hc_type,
+            "nC": fuel.nC,
         }
     )
 
-    # Determine carbon number from compound name
-    def determine_carbon_number(compound):
-        """Extract carbon number from compound name."""
-        if "Toluene" in compound:
-            return 7
-        elif "benzene" in compound.lower():
-            match = re.search(r"C(\d+)", compound)
-            if match:
-                try:
-                    return int(match.group(1)) + 6
-                except ValueError:
-                    return np.nan
-            return np.nan
-        else:
-            match = re.search(r"C(\d+)", compound)
-            if match:
-                try:
-                    return int(match.group(1))
-                except ValueError:
-                    return np.nan
-            return np.nan
-
-    df["nC"] = df["Compound"].apply(determine_carbon_number)
+    # Get unique families from the fuel data in canonical order
+    canonical_order = ["n-alkane", "iso-alkane", "cyclo-alkane", "aromatic", "alkene"]
+    unique_families = list(np.unique(fuel.hc_type))
+    family_names = [f for f in canonical_order if f in unique_families]
 
     # Remove rows with weight % <= 0.01
     df = df[df["Weight %"] > 0.01]
@@ -106,8 +87,10 @@ def determine_carbon_number(compound):
     print("Relative Weight % of Each Compound Family")
     print(f"Fuel: {fuel_name}")
     print("=" * 50)
-    for family, weight in family_weights.items():
-        print(f"  {family:<20} {weight:>8.2f}%")
+    for family in family_names:
+        if family in family_weights.index:
+            weight = family_weights[family]
+            print(f"  {family:<20} {weight:>8.2f}%")
     print("-" * 50)
     print(f"  {'Total':<20} {family_weights.sum():>8.2f}%")
     print("=" * 50 + "\n")
@@ -124,27 +107,23 @@ def determine_carbon_number(compound):
     # Create figure with two subplots side by side
     fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5), constrained_layout=True)
 
-    # Plot 1: Bar chart grouped by carbon number
+    # Plot 1: Bar chart grouped by carbon number, colored by hydrocarbon type
     spacing = [-0.2985, -0.099, 0.099, 0.2985]
-    N = df.nC.unique()
-    families_in_data = df["Family"].unique()
+    nC_values = sorted(df["nC"].unique())
 
-    for k, family in enumerate(family_names):
-        if family not in families_in_data:
-            continue
+    # Get unique families that are in the filtered data
+    families_in_data = [f for f in family_names if f in df["Family"].values]
+
+    # Create bars for each family at each carbon number
+    for k, family in enumerate(families_in_data):
         df_family = df[df["Family"] == family]
-        nC = df_family.nC
-        weight = df_family["Weight %"]
 
-        # Check for duplicate carbon numbers and sum weights
-        if len(nC) != len(set(nC)):
-            df_grouped = df_family.groupby("nC")["Weight %"].sum().reset_index()
-            nC = df_grouped["nC"]
-            weight = df_grouped["Weight %"]
+        # Group by carbon number and sum weights
+        family_by_nC = df_family.groupby("nC")["Weight %"].sum()
 
         ax1.bar(
-            nC + spacing[k],
-            weight,
+            family_by_nC.index + spacing[k],
+            family_by_nC.values,
             label=family,
             alpha=1,
             color=colors.get(family, "#7f7f7f"),
@@ -152,15 +131,17 @@ def determine_carbon_number(compound):
         )
 
     ax1.set_xlabel("Carbon Number", fontsize=16)
-    ax1.set_xticks(sorted(N))
-    ax1.set_xticklabels(sorted(N), fontsize=14)
-    ax1.set_xlim(min(N) - 0.5, max(N) + 0.5)
     ax1.set_ylabel("Weight %", fontsize=16)
+    ax1.set_xticks(nC_values)
+    ax1.set_xticklabels(
+        [int(n) if n == int(n) else f"{n:.1f}" for n in nC_values], fontsize=14
+    )
+    ax1.set_xlim(min(nC_values) - 0.5, max(nC_values) + 0.5)
     ax1.tick_params(axis="y", labelsize=14)
     ax1.grid(axis="y", alpha=0.3)
 
     # Plot 2: Pie chart of family composition
-    # Only include families that have weight > 0
+    # Only include families that have weight > 0, in canonical order
     families_present = [
         f for f in family_names if f in family_weights.index and family_weights[f] > 0
     ]
@@ -403,7 +384,7 @@ def get_predictions_and_data(fuel_name, prop_name):
 
         if props_dir and os.path.exists(props_dir):
             # Check if metadata specifies a different props_data filename
-            props_data_name = fl.get_fueldata_propsdata(fuel_name, fuel_data_dir)
+            props_data_name = fl.get_metadata_props_data(fuel_name, fuel_data_dir)
             data_filename = props_data_name if props_data_name else fuel_name
 
             data_file = os.path.join(props_dir, f"{data_filename}.csv")
@@ -483,9 +464,7 @@ def get_predictions_and_data(fuel_name, prop_name):
             # Plot experimental data if available
             if len(prop_data) > 0:
                 # Get props_data name for the legend
-                props_data_name = fl.get_fueldata_propsdata(
-                    fuel_name, fuel_data_dir
-                )
+                props_data_name = fl.get_metadata_props_data(fuel_name, fuel_data_dir)
                 data_label = props_data_name if props_data_name else fuel_name
                 ax[i].scatter(
                     T_data,
diff --git a/fuellib/exporters/converge.py b/fuellib/exporters/converge.py
index bbcddd1..e69d94b 100644
--- a/fuellib/exporters/converge.py
+++ b/fuellib/exporters/converge.py
@@ -639,24 +639,8 @@ def main():
     print(f"    Export directory: {export_dir}")
     print(f"    Fuel data directory: {fuel_data_dir}")
 
-    # Get decomposition name from metadata
-    try:
-        decomp_name = fl.get_decomp_name_from_metadata(fuel_name, fuel_data_dir)
-    except (FileNotFoundError, KeyError):
-        # If metadata lookup fails, fall back to fuel_name
-        decomp_name = fuel_name
-
-    # Check if necessary files exist in the fuelData directory
-    print("\nChecking for required files...")
-    gcxgc_file = os.path.join(fuel_data_dir, f"gcData/{fuel_name}_init.csv")
-    decomp_file = os.path.join(fuel_data_dir, f"groupDecompositionData/{decomp_name}.csv")
-    if not os.path.exists(gcxgc_file):
-        err = f"GCXGC file for {fuel_name} not found in {fuel_data_dir}/gcData. gcxgc_file = {gcxgc_file}"
-        raise FileNotFoundError(err)
-    if not os.path.exists(decomp_file):
-        err = f"Decomposition file for {fuel_name} not found in {fuel_data_dir}/groupDecompositionData. decomp_file = {decomp_file}"
-        raise FileNotFoundError(err)
-    print("All required files found.")
+    # Get decomposition name from metadata (required)
+    decomp_name = fl.get_metadata_decomp_name(fuel_name, fuel_data_dir)
 
     # Create the fuel object
     fuel = fl.fuel(fuel_name, fuelDataDir=fuel_data_dir)
diff --git a/fuellib/exporters/pele.py b/fuellib/exporters/pele.py
index 51bfa35..c4e63d2 100644
--- a/fuellib/exporters/pele.py
+++ b/fuellib/exporters/pele.py
@@ -656,15 +656,11 @@ def main():
     fuel_name = args.fuel_name
     fuel_decomp_name = args.fuel_decomp_name
     fuel_data_dir = args.fuel_data_dir
-    
-    # If decomposition name not provided, read from metadata
+
+    # If decomposition name not provided, read from metadata (required)
     if fuel_decomp_name is None:
-        try:
-            fuel_decomp_name = fl.get_decomp_name_from_metadata(fuel_name, fuel_data_dir)
-        except (FileNotFoundError, KeyError):
-            # If metadata lookup fails, fall back to fuel_name
-            fuel_decomp_name = None
-    
+        fuel_decomp_name = fl.get_metadata_decomp_name(fuel_name, fuel_data_dir)
+
     units = args.units.lower()
     dep_fuel_names = args.dep_fuel_names
     use_pp_keys = args.use_pp_keys
@@ -677,8 +673,7 @@ def main():
     # Print the parsed arguments
     print(f"Preparing to export properties:")
     print(f"    Fuel name: {fuel_name}")
-    if fuel_decomp_name is not None:
-        print(f"    Decomposition name: {fuel_decomp_name}")
+    print(f"    Decomposition name: {fuel_decomp_name}")
     print(f"    Units: {units}")
     print(f"    Liquid property model: {liq_prop_model}")
     if liq_prop_model.lower() == "mp":
@@ -687,25 +682,6 @@ def main():
     print(f"    Export directory: {export_dir}")
     print(f"    Fuel data directory: {fuel_data_dir}")
 
-    # Check if necessary files exist in the fuelData directory
-    print("\nChecking for required files...")
-    gcxgc_file = os.path.join(fuel_data_dir, f"gcData/{fuel_name}_init.csv")
-    if fuel_decomp_name is None:
-        decomp_file = os.path.join(
-            fuel_data_dir, f"groupDecompositionData/{fuel_name}.csv"
-        )
-    else:
-        decomp_file = os.path.join(
-            fuel_data_dir, f"groupDecompositionData/{fuel_decomp_name}.csv"
-        )
-    if not os.path.exists(gcxgc_file):
-        err = f"GCXGC file for {fuel_name} not found in {fuel_data_dir}/gcData. gxcgc_file = {gcxgc_file}"
-        raise FileNotFoundError(err)
-    if not os.path.exists(decomp_file):
-        err = f"Decomposition file for {fuel_name} not found in {fuel_data_dir}/groupDecompositionData. decomp_file = {decomp_file}"
-        raise FileNotFoundError(err)
-    print("All required files found.")
-
     # Create the groupContribution object for the specified fuel
     fuel = fl.fuel(fuel_name, decompName=fuel_decomp_name, fuelDataDir=fuel_data_dir)
 
diff --git a/fuellib/fuel.py b/fuellib/fuel.py
index 7b25ad1..879c20b 100644
--- a/fuellib/fuel.py
+++ b/fuellib/fuel.py
@@ -14,7 +14,7 @@
     get_fueldata_gc_dir,
     get_fueldata_decomp_dir,
     get_fueldata_props_dir,
-    get_decomp_name_from_metadata,
+    get_metadata_decomp_name,
 )
 
 
@@ -143,7 +143,7 @@ def __init__(self, name, decompName=None, fuelDataDir=None):
         self.name = name
         if decompName is None:
             # Try to get decomposition name from metadata
-            decompName = get_decomp_name_from_metadata(name, fuelDataDir)
+            decompName = get_metadata_decomp_name(name, fuelDataDir)
 
         # Determine and set data directories for this fuel instance
         if fuelDataDir is None:
diff --git a/pyproject.toml b/pyproject.toml
index 40f9293..ce6fe1e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "3.0.0a2"
+version = "3.0.0a3"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}
@@ -32,6 +32,7 @@ dependencies = [
     "pandas>=1.0.0",
     "scipy>=1.5.0",
     "pyyaml>=5.0",
+    "matplotlib>=3.0",
     "importlib-resources>=5.0; python_version < '3.9'",
 ]
 
@@ -39,7 +40,6 @@ dependencies = [
 dev = [
     "black>=26.3.1",
     "pytest>=6.0",
-    "matplotlib>=3.0",
     "sphinx>=4.0",
     "sphinx-rtd-theme>=1.0",
     "sphinxcontrib-bibtex>=2.0",
diff --git a/tests/test_api.py b/tests/test_api.py
index ac69a4c..a31bb15 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -49,8 +49,6 @@ def test_fuellib_module_api(self):
         print("\nFuelLib Module API:")
         expected_top_level = {
             "fuel": "class",
-            "k_B": "constant",
-            "N_A": "constant",
             "constants": "module",
             "convert": "module",
             "utility": "module",
@@ -74,9 +72,18 @@ def test_fuellib_module_api(self):
                     isinstance(getattr(fl, name), types.ModuleType),
                     msg=f"FuelLib.{name} should be a module",
                 )
-            print(f"  ✓ {name} ({obj_type})")
+            else:
+                print(f"  ✓ {name} ({obj_type})")
 
-        # Check convert submodule
+        # Check that constants are available via module
+        self.assertTrue(
+            hasattr(fl.constants, "k_B"), msg="FuelLib.constants.k_B not found"
+        )
+        self.assertTrue(
+            hasattr(fl.constants, "N_A"), msg="FuelLib.constants.N_A not found"
+        )
+        print(f"  ✓ constants.k_B (constant)")
+        print(f"  ✓ constants.N_A (constant)")
         print("\nFuelLib.convert Module API:")
         convert_funcs = {
             "C2K": "(T)",
diff --git a/tests/test_exporters.py b/tests/test_exporters.py
index d3bb649..02c3003 100644
--- a/tests/test_exporters.py
+++ b/tests/test_exporters.py
@@ -5,6 +5,10 @@
 
 import subprocess
 import sys
+import tempfile
+import shutil
+import os
+import fuellib as fl
 
 
 def run_export_command(cmd):
@@ -75,6 +79,50 @@ def test_converge_mixture():
     )
 
 
+def test_pele_custom_fuel_data_dir():
+    """Test fl-export-pele with custom fuel data directory (not embedded data)."""
+    # Create a temporary directory and copy fuelData to it
+    with tempfile.TemporaryDirectory() as tmpdir:
+        # Copy the embedded fuelData to a temp location
+        embedded_fueldata = fl.get_fueldata_dir()
+        custom_fueldata = os.path.join(tmpdir, "fuelData")
+        shutil.copytree(embedded_fueldata, custom_fueldata)
+
+        # Export from custom location
+        run_export_command(
+            ["fl-export-pele", "-f", "posf10264", "-dir", custom_fueldata]
+        )
+
+
+def test_converge_custom_fuel_data_dir():
+    """Test fl-export-converge with custom fuel data directory (not embedded data)."""
+    # Create a temporary directory and copy fuelData to it
+    with tempfile.TemporaryDirectory() as tmpdir:
+        # Copy the embedded fuelData to a temp location
+        embedded_fueldata = fl.get_fueldata_dir()
+        custom_fueldata = os.path.join(tmpdir, "fuelData")
+        shutil.copytree(embedded_fueldata, custom_fueldata)
+
+        # Export from custom location
+        run_export_command(
+            [
+                "fl-export-converge",
+                "-f",
+                "posf10264",
+                "-dir",
+                custom_fueldata,
+                "-m",
+                "true",
+                "-t",
+                "280",
+                "-T",
+                "400",
+                "-s",
+                "10",
+            ]
+        )
+
+
 if __name__ == "__main__":
     print("Running exporter tests...\n")
 
@@ -87,11 +135,19 @@ def test_converge_mixture():
         ("fl-export-pele - mixture export with MP model", test_pele_mixture_mp),
         ("fl-export-pele - mixture export with CGS units", test_pele_mixture_cgs),
         ("fl-export-pele - single deposit species", test_pele_deposit_species),
+        (
+            "fl-export-pele - custom fuel data directory",
+            test_pele_custom_fuel_data_dir,
+        ),
         (
             "fl-export-converge - individual component export",
             test_converge_individual_component,
         ),
         ("fl-export-converge - mixture export", test_converge_mixture),
+        (
+            "fl-export-converge - custom fuel data directory",
+            test_converge_custom_fuel_data_dir,
+        ),
     ]
 
     failed = []
diff --git a/tests/test_utilities.py b/tests/test_utilities.py
index e4e8360..e64594a 100644
--- a/tests/test_utilities.py
+++ b/tests/test_utilities.py
@@ -16,7 +16,7 @@ def test_epsilon_to_characteristic_temperature(self):
         # epsilon_molecule = 1000 / 6.02214076e23 J
         # T* = epsilon_molecule / k_B = (1000 / 6.02214076e23) / 1.380649e-23 K
         result = fl.convert.epsilon_to_characteristic_temperature(1000.0)
-        expected = (1000.0 / fl.N_A) / fl.k_B
+        expected = (1000.0 / fl.constants.N_A) / fl.constants.k_B
         self.assertAlmostEqual(result, expected, places=10)
 
     def test_epsilon_to_characteristic_temperature_zero(self):
@@ -27,7 +27,7 @@ def test_epsilon_to_characteristic_temperature_zero(self):
     def test_epsilon_to_characteristic_temperature_negative(self):
         """Test epsilon conversion with negative input."""
         result = fl.convert.epsilon_to_characteristic_temperature(-1000.0)
-        expected = (-1000.0 / fl.N_A) / fl.k_B
+        expected = (-1000.0 / fl.constants.N_A) / fl.constants.k_B
         self.assertAlmostEqual(result, expected, places=10)
 
     def test_C2K(self):

From 978a38608b44fdcb1eab8b593c4256252e745afa Mon Sep 17 00:00:00 2001
From: Dave Montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 12:10:42 -0600
Subject: [PATCH 45/48] Apply suggestions from code review

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 .github/workflows/documentation.yml | 2 +-
 README.md                           | 2 +-
 docs/index.rst                      | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 97d0a69..33aad6d 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -36,7 +36,7 @@ jobs:
 
       - name: Build docs
         run: |
-          fl-build-docs -W
+          sphinx-build -W -b html docs docs/_build/html
 
       - name: Upload artifact (for PR preview or later steps)
         uses: actions/upload-artifact@v4
diff --git a/README.md b/README.md
index 258acd5..cb749e4 100644
--- a/README.md
+++ b/README.md
@@ -66,7 +66,7 @@ Quick start:
 1. Fork the main repository
 2. Create a `newFeature` branch that contains your changes
 3. Update the sphinx documentation in `newFeature`
-4. Install development dependencies: `pip install -e '.[dev]`
+4. Install development dependencies: `pip install -e '.[dev]'`
 5. Format the source code files using the provided CLI command: `fl-format`
 6. Run tests and build documentation locally to verify your changes
 7. Open a Pull Request (PR) from `newFeature` on your fork to branch `main` FuelLib repository.
diff --git a/docs/index.rst b/docs/index.rst
index 9b3a2bb..132f040 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -44,7 +44,7 @@ The easiest way to install FuelLib is via pip:
 
    pip install fuellib
 
-After installation, several command command-line tools will be available for exporting fuel data and plotting fuel properties. See the `CLI Tutorials <tutorials-cli.html>`_ for detailed usage examples and options.
+After installation, several command-line tools will be available for exporting fuel data and plotting fuel properties. See the `CLI Tutorials <tutorials-cli.html>`_ for detailed usage examples and options.
 
 For more detailed information on a development setup, see the `Contributing <development.html>`_ page.
 

From bd043cba6c67260a11181fdec928f03cc9b8dad3 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 12:17:16 -0600
Subject: [PATCH 46/48] Resolve comments from review

---
 docs/tutorials-basic.rst                 |   2 +-
 fuellib/cli/format_code.py               |  25 +---
 fuellib/cli/temp_converter.py            | 142 ++++++++++++-----------
 fuellib/cli/transport_props_converter.py |  25 ++--
 tests/test_source_docstrings.py          |  10 +-
 tests/test_utilities.py                  |  12 +-
 6 files changed, 108 insertions(+), 108 deletions(-)

diff --git a/docs/tutorials-basic.rst b/docs/tutorials-basic.rst
index eac461f..14bb8a0 100644
--- a/docs/tutorials-basic.rst
+++ b/docs/tutorials-basic.rst
@@ -70,7 +70,7 @@ the remaining branch with a single CH3 group bonded to a CH2 group is not define
     All group decomposition files must follow the groups defined in `gcmTable`_, there are :math:`N_{g1} = 78` 
     first-order groups and :math:`N_{g2} = 43` second order groups. The second-order groups start with the 
     branching structure `(CH3)2CH`. Not all branching structures are defined in the `gcmTable`_. We recommend
-    starting with `groupDecompositionData/refCompounds.csv` and adapting the decompositions and compounds for your fuel. 
+    starting with `fuellib/data/fuelData/groupDecompositionData/refCompounds.csv` and adapting the decompositions and compounds for your fuel. 
 
 Basic Usage
 ^^^^^^^^^^^
diff --git a/fuellib/cli/format_code.py b/fuellib/cli/format_code.py
index 25f958d..60dbdba 100644
--- a/fuellib/cli/format_code.py
+++ b/fuellib/cli/format_code.py
@@ -17,28 +17,15 @@ def main():
     project_root = os.path.dirname(fuellib_dir)
 
     try:
+        # Call Black directly with the project root
+        # Black will recursively find and format all .py files
         result = subprocess.run(
-            ["find", project_root, "-name", "*.py", "-print0"],
-            capture_output=True,
-            text=False,
+            [sys.executable, "-m", "black", project_root],
             check=True,
         )
-
-        # Use xargs to pass files to black
-        process = subprocess.Popen(
-            ["xargs", "-0", "black"],
-            stdin=subprocess.PIPE,
-            stdout=subprocess.PIPE,
-            stderr=subprocess.PIPE,
-        )
-        stdout, stderr = process.communicate(input=result.stdout)
-
-        if stdout:
-            print(stdout.decode())
-        if stderr:
-            print(stderr.decode(), file=sys.stderr)
-
-        sys.exit(process.returncode)
+        sys.exit(result.returncode)
+    except subprocess.CalledProcessError as e:
+        sys.exit(e.returncode)
     except Exception as e:
         print(f"Error running black formatter: {e}", file=sys.stderr)
         sys.exit(1)
diff --git a/fuellib/cli/temp_converter.py b/fuellib/cli/temp_converter.py
index f434e3c..c56e958 100644
--- a/fuellib/cli/temp_converter.py
+++ b/fuellib/cli/temp_converter.py
@@ -1,100 +1,106 @@
 """Command-line tools to convert temperatures."""
 
-import sys
+import argparse
 from .. import convert
 
 
 def c2k_main():
     """Convert temperature from Celsius to Kelvin via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-C2K <temperature_in_celsius>")
-        print("\nConvert temperature from Celsius to Kelvin")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert temperature from Celsius to Kelvin"
+    )
+    parser.add_argument(
+        "temperature",
+        type=float,
+        metavar="TEMP",
+        help="Temperature in Celsius",
+    )
 
-    try:
-        temp_c = float(sys.argv[1])
-        result = convert.C2K(temp_c)
-        print(f"{temp_c} °C = {result:.2f} K")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    args = parser.parse_args()
+    result = convert.C2K(args.temperature)
+    print(f"{args.temperature} °C = {result:.2f} K")
 
 
 def k2c_main():
     """Convert temperature from Kelvin to Celsius via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-K2C <temperature_in_kelvin>")
-        print("\nConvert temperature from Kelvin to Celsius")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert temperature from Kelvin to Celsius"
+    )
+    parser.add_argument(
+        "temperature",
+        type=float,
+        metavar="TEMP",
+        help="Temperature in Kelvin",
+    )
 
-    try:
-        temp_k = float(sys.argv[1])
-        result = convert.K2C(temp_k)
-        print(f"{temp_k} K = {result:.2f} °C")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    args = parser.parse_args()
+    result = convert.K2C(args.temperature)
+    print(f"{args.temperature} K = {result:.2f} °C")
 
 
 def c2f_main():
     """Convert temperature from Celsius to Fahrenheit via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-C2F <temperature_in_celsius>")
-        print("\nConvert temperature from Celsius to Fahrenheit")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert temperature from Celsius to Fahrenheit"
+    )
+    parser.add_argument(
+        "temperature",
+        type=float,
+        metavar="TEMP",
+        help="Temperature in Celsius",
+    )
 
-    try:
-        temp_c = float(sys.argv[1])
-        result = convert.C2F(temp_c)
-        print(f"{temp_c} °C = {result:.2f} °F")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    args = parser.parse_args()
+    result = convert.C2F(args.temperature)
+    print(f"{args.temperature} °C = {result:.2f} °F")
 
 
 def f2c_main():
     """Convert temperature from Fahrenheit to Celsius via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-F2C <temperature_in_fahrenheit>")
-        print("\nConvert temperature from Fahrenheit to Celsius")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert temperature from Fahrenheit to Celsius"
+    )
+    parser.add_argument(
+        "temperature",
+        type=float,
+        metavar="TEMP",
+        help="Temperature in Fahrenheit",
+    )
 
-    try:
-        temp_f = float(sys.argv[1])
-        result = convert.F2C(temp_f)
-        print(f"{temp_f} °F = {result:.2f} °C")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    args = parser.parse_args()
+    result = convert.F2C(args.temperature)
+    print(f"{args.temperature} °F = {result:.2f} °C")
 
 
 def f2k_main():
     """Convert temperature from Fahrenheit to Kelvin via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-F2K <temperature_in_fahrenheit>")
-        print("\nConvert temperature from Fahrenheit to Kelvin")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert temperature from Fahrenheit to Kelvin"
+    )
+    parser.add_argument(
+        "temperature",
+        type=float,
+        metavar="TEMP",
+        help="Temperature in Fahrenheit",
+    )
 
-    try:
-        temp_f = float(sys.argv[1])
-        result = convert.F2K(temp_f)
-        print(f"{temp_f} °F = {result:.2f} K")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    args = parser.parse_args()
+    result = convert.F2K(args.temperature)
+    print(f"{args.temperature} °F = {result:.2f} K")
 
 
 def k2f_main():
     """Convert temperature from Kelvin to Fahrenheit via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-K2F <temperature_in_kelvin>")
-        print("\nConvert temperature from Kelvin to Fahrenheit")
-        sys.exit(1)
-
-    try:
-        temp_k = float(sys.argv[1])
-        result = convert.K2F(temp_k)
-        print(f"{temp_k} K = {result:.2f} °F")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert temperature from Kelvin to Fahrenheit"
+    )
+    parser.add_argument(
+        "temperature",
+        type=float,
+        metavar="TEMP",
+        help="Temperature in Kelvin",
+    )
+
+    args = parser.parse_args()
+    result = convert.K2F(args.temperature)
+    print(f"{args.temperature} K = {result:.2f} °F")
diff --git a/fuellib/cli/transport_props_converter.py b/fuellib/cli/transport_props_converter.py
index 043c4f3..330f760 100644
--- a/fuellib/cli/transport_props_converter.py
+++ b/fuellib/cli/transport_props_converter.py
@@ -1,20 +1,21 @@
 """Command-line tool to convert transport properties for combustion simulations."""
 
-import sys
+import argparse
 from .. import convert
 
 
 def eps2K_main():
     """Convert Lennard-Jones epsilon from J/mol to K via command line."""
-    if len(sys.argv) != 2:
-        print("Usage: fl-eps2K <epsilon_in_J_per_mol>")
-        print("\nConvert Lennard-Jones well depth epsilon from J/mol to Kelvin")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(
+        description="Convert Lennard-Jones well depth epsilon from J/mol to Kelvin"
+    )
+    parser.add_argument(
+        "epsilon",
+        type=float,
+        metavar="EPSILON",
+        help="Lennard-Jones well depth in J/mol",
+    )
 
-    try:
-        epsilon = float(sys.argv[1])
-        result = convert.epsilon_to_characteristic_temperature(epsilon)
-        print(f"Characteristic temperature: {result:.3f} K")
-    except ValueError:
-        print(f"Error: '{sys.argv[1]}' is not a valid number")
-        sys.exit(1)
+    args = parser.parse_args()
+    result = convert.epsilon_to_characteristic_temperature(args.epsilon)
+    print(f"Characteristic temperature: {result:.3f} K")
diff --git a/tests/test_source_docstrings.py b/tests/test_source_docstrings.py
index 1a55638..8654753 100644
--- a/tests/test_source_docstrings.py
+++ b/tests/test_source_docstrings.py
@@ -90,9 +90,15 @@ def test_source_function_documentation(self):
 
         print("\n")  # Add newline to separate from unittest verbose output
 
+        # Verify all expected files exist before checking docstrings
+        for py_file in py_files:
+            self.assertTrue(
+                py_file.exists(),
+                msg=f"Expected file not found: {py_file.relative_to(fuellib_dir.parent)} "
+                f"(packaging issue or accidental deletion?)",
+            )
+
         for py_file in py_files:
-            if not py_file.exists():
-                continue
             tree = ast.parse(py_file.read_text(encoding="utf-8"), filename=str(py_file))
             file_label = py_file.relative_to(fuellib_dir.parent)
 
diff --git a/tests/test_utilities.py b/tests/test_utilities.py
index e64594a..0d6560d 100644
--- a/tests/test_utilities.py
+++ b/tests/test_utilities.py
@@ -83,13 +83,13 @@ def test_fl_eps2K_invalid_input(self):
         """Test fl-eps2K CLI with invalid input."""
         returncode, stdout, stderr = self._run_cli_command("fl-eps2K", "not_a_number")
         self.assertNotEqual(returncode, 0)
-        self.assertIn("Error", stdout)
+        self.assertIn("error", stderr)
 
     def test_fl_eps2K_no_args(self):
         """Test fl-eps2K CLI with no arguments."""
         returncode, stdout, stderr = self._run_cli_command("fl-eps2K")
         self.assertNotEqual(returncode, 0)
-        self.assertIn("Usage", stdout)
+        self.assertIn("usage", stderr)
 
     def test_fl_C2K_basic(self):
         """Test fl-C2K CLI command."""
@@ -102,13 +102,13 @@ def test_fl_C2K_invalid_input(self):
         """Test fl-C2K CLI with invalid input."""
         returncode, stdout, stderr = self._run_cli_command("fl-C2K", "not_a_number")
         self.assertNotEqual(returncode, 0)
-        self.assertIn("Error", stdout)
+        self.assertIn("error", stderr)
 
     def test_fl_C2K_no_args(self):
         """Test fl-C2K CLI with no arguments."""
         returncode, stdout, stderr = self._run_cli_command("fl-C2K")
         self.assertNotEqual(returncode, 0)
-        self.assertIn("Usage", stdout)
+        self.assertIn("usage", stderr)
 
     def test_fl_K2C_basic(self):
         """Test fl-K2C CLI command."""
@@ -121,13 +121,13 @@ def test_fl_K2C_invalid_input(self):
         """Test fl-K2C CLI with invalid input."""
         returncode, stdout, stderr = self._run_cli_command("fl-K2C", "not_a_number")
         self.assertNotEqual(returncode, 0)
-        self.assertIn("Error", stdout)
+        self.assertIn("error", stderr)
 
     def test_fl_K2C_no_args(self):
         """Test fl-K2C CLI with no arguments."""
         returncode, stdout, stderr = self._run_cli_command("fl-K2C")
         self.assertNotEqual(returncode, 0)
-        self.assertIn("Usage", stdout)
+        self.assertIn("usage", stderr)
 
 
 if __name__ == "__main__":

From e7c6c0d5e994f91805a306138c3dc072b5e6c971 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Tue, 19 May 2026 12:24:35 -0600
Subject: [PATCH 47/48] Update version for PyPi

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index ce6fe1e..fd7cbdd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "3.0.0a3"
+version = "3.0.0a4"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}

From cab99c1b67a34db6ad5b6ddae54008c6bd3ef2f0 Mon Sep 17 00:00:00 2001
From: d-montgomery <David.Montgomery@nrel.gov>
Date: Wed, 20 May 2026 12:14:33 -0600
Subject: [PATCH 48/48] Change default export dir for exporters

---
 fuellib/exporters/converge.py | 10 +++++-----
 fuellib/exporters/pele.py     | 10 +++++-----
 pyproject.toml                |  2 +-
 3 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/fuellib/exporters/converge.py b/fuellib/exporters/converge.py
index e69d94b..8189ebf 100644
--- a/fuellib/exporters/converge.py
+++ b/fuellib/exporters/converge.py
@@ -146,7 +146,7 @@ def export_converge(
     :type fuel: fl.fuel
 
     :param path: Directory to save the input file.
-    :type path: str, optional (default: current directory/exportData)
+    :type path: str, optional (default: current working directory)
 
     :param units: Units for the properties ("mks" for SI, "cgs" for CGS).
     :type units: str, optional (default: "mks")
@@ -170,7 +170,7 @@ def export_converge(
     :raises TypeError: If fuel object is not a FuelLib fuel instance
     """
     if path is None:
-        path = os.path.join(os.getcwd(), "exportData")
+        path = os.getcwd()
 
     # Input validation
     if not hasattr(fuel, "compounds") or not hasattr(fuel, "Y_0"):
@@ -526,7 +526,7 @@ def main():
     :type --temp_step: float, optional (default: 10 K)
 
     :param --export_dir: Directory to export the properties.
-    :type --export_dir: str, optional (default: current directory/exportData)
+    :type --export_dir: str, optional (default: current working directory)
 
     :param --export_mix: Whether to export individual component or mixture properties.
     :type --export_mix: bool, optional (default: False)
@@ -601,9 +601,9 @@ def main():
     parser.add_argument(
         "-o",
         "--export_dir",
-        default=os.path.join(os.getcwd(), "exportData"),
+        default=os.getcwd(),
         metavar="PATH",
-        help="Directory to export the properties (optional, default: ./exportData).",
+        help="Directory to export the properties (optional, default: current working directory).",
     )
 
     # Optional argument for exporting mixture properties
diff --git a/fuellib/exporters/pele.py b/fuellib/exporters/pele.py
index c4e63d2..0f75de9 100644
--- a/fuellib/exporters/pele.py
+++ b/fuellib/exporters/pele.py
@@ -248,7 +248,7 @@ def export_pele(
     :type fuel: fuel object
 
     :param path: Directory to save the input file.
-    :type path: str, optional (default: current directory/exportData)
+    :type path: str, optional (default: current working directory)
 
     :param units: Units for the properties ("mks" for SI, "cgs" for CGS).
     :type units: str, optional (default: "mks")
@@ -278,7 +278,7 @@ def export_pele(
     :raises TypeError: If fuel object is not a FuelLib fuel instance
     """
     if path is None:
-        path = os.path.join(os.getcwd(), "exportData")
+        path = os.getcwd()
 
     # Input validation
     if not hasattr(fuel, "compounds") or not hasattr(fuel, "Y_0"):
@@ -524,7 +524,7 @@ def main():
     :param --use_pp_keys: Use the PelePhysics key for each compound (True or False). Default is True.
     :type --use_pp_keys: bool, optional
 
-    :param --export_dir: Directory to export the properties. Default is "current directory/exportData".
+    :param --export_dir: Directory to export the properties. Default is the current working directory.
     :type --export_dir: str, optional
 
     :param --export_mix: Option to export mixture properties of the fuel (True or False). Default is False.
@@ -608,9 +608,9 @@ def main():
     parser.add_argument(
         "-o",
         "--export_dir",
-        default=os.path.join(os.getcwd(), "exportData"),
+        default=os.getcwd(),
         metavar="PATH",
-        help="Directory to export the properties (optional, default: ./exportData).",
+        help="Directory to export the properties (optional, default: current working directory).",
     )
 
     # Optional argument for exporting mixture properties
diff --git a/pyproject.toml b/pyproject.toml
index fd7cbdd..4424b25 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fuellib"
-version = "3.0.0a4"
+version = "3.0.0a5"
 description = "FuelLib: A Python library for Group Contribution Method (GCM) calculations of fuel properties"
 readme = "README.md"
 license = {text = "BSD-3-Clause"}