diff --git a/.gitignore b/.gitignore
index 779b76f9..031afdc2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,8 +1,12 @@
+# Non-default Workspace Locations
 /workspaces/*
 !/workspaces/public_datasets
 !workspaces/CMS_project_v1/CMS_project_v1/config/CMS_project_v1_config.py
 !workspaces/CFD_workspace/CFD_project_animation/config/CFD_project_animation_config.py
 
+# Information Tracking Files
+*.csv
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/baler/baler.py b/baler/baler.py
index f7bcfb2e..e7516404 100644
--- a/baler/baler.py
+++ b/baler/baler.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -57,28 +57,33 @@ def main():
     project_path = os.path.join("workspaces", workspace_name, project_name)
     output_path = os.path.join(project_path, "output")
 
-    if mode == "newProject":
-        helper.create_new_project(workspace_name, project_name, verbose)
-    elif mode == "train":
-        perform_training(output_path=output_path, config=config, verbose=verbose)
-    elif mode == "diagnose":
-        perform_diagnostics(output_path, verbose)
-    elif mode == "compress":
-        perform_compression(output_path, config, verbose)
-    elif mode == "decompress":
-        perform_decompression(output_path, config, verbose)
-    elif mode == "plot":
-        perform_plotting(output_path, config, verbose)
-    elif mode == "info":
-        print_info(output_path, config)
-    elif mode == "convert_with_hls4ml":
-        helper.perform_hls4ml_conversion(output_path, config)
-    else:
-        raise NameError(
-            "Baler mode "
-            + mode
-            + " not recognised. Use baler --help to see available modes."
-        )
+    tracker_title = f"Baler {mode} {workspace_name}-{project_name}"
+    if mode != "newProject":
+        tracker_title += f", Model: {config.model_name}"
+    tracker = helper.setup_green_tracker()
+    with tracker.time(tracker_title, verbose=verbose):
+        if mode == "newProject":
+            helper.create_new_project(workspace_name, project_name, verbose)
+        elif mode == "train":
+            perform_training(output_path=output_path, config=config, verbose=verbose)
+        elif mode == "diagnose":
+            perform_diagnostics(output_path, verbose)
+        elif mode == "compress":
+            perform_compression(output_path, config, verbose)
+        elif mode == "decompress":
+            perform_decompression(output_path, config, verbose)
+        elif mode == "plot":
+            perform_plotting(output_path, config, verbose)
+        elif mode == "info":
+            print_info(output_path, config)
+        elif mode == "convert_with_hls4ml":
+            helper.perform_hls4ml_conversion(output_path, config)
+        else:
+            raise NameError(
+                "Baler mode "
+                + mode
+                + " not recognised. Use baler --help to see available modes."
+            )
 
 
 def perform_training(output_path, config, verbose: bool):
@@ -255,7 +260,7 @@ def perform_compression(output_path, config, verbose: bool):
         - Normalization features if `config.apply_normalization=True`
     """
     print("Compressing...")
-    start = time.time()
+    start = time.perf_counter()
     normalization_features = []
 
     if config.apply_normalization:
@@ -283,9 +288,9 @@ def perform_compression(output_path, config, verbose: bool):
             config=config,
         )
 
-    end = time.time()
+    end = time.perf_counter()
 
-    print("Compression took:", f"{(end - start) / 60:.3} minutes")
+    print("Compression took:", f"{(end - start):.3} seconds")
 
     names = np.load(config.input_path)["names"]
 
@@ -351,7 +356,7 @@ def perform_decompression(output_path, config, verbose: bool):
     """
     print("Decompressing...")
 
-    start = time.time()
+    start = time.perf_counter()
     model_name = config.model_name
     data_before = np.load(config.input_path)["data"]
     if config.separate_model_saving:
@@ -434,8 +439,8 @@ def perform_decompression(output_path, config, verbose: bool):
     except AttributeError:
         pass
 
-    end = time.time()
-    print("Decompression took:", f"{(end - start) / 60:.3} minutes")
+    end = time.perf_counter()
+    print("Decompression took:", f"{(end - start):.3} seconds")
 
     if config.extra_compression:
         if verbose:
diff --git a/baler/modules/data_processing.py b/baler/modules/data_processing.py
index d14d9958..6d6a9ec0 100644
--- a/baler/modules/data_processing.py
+++ b/baler/modules/data_processing.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/baler/modules/green_code.py b/baler/modules/green_code.py
new file mode 100644
index 00000000..058ac32f
--- /dev/null
+++ b/baler/modules/green_code.py
@@ -0,0 +1,202 @@
+# Copyright 2022-2025 Baler Contributors
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+#     http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import csv
+import os
+import time
+from datetime import datetime
+from time import perf_counter
+import contextlib
+import psutil
+import cpuinfo
+import shutil
+
+# Attempt to use pynvml for NVIDIA GPU tracking
+try:
+    import pynvml
+
+    pynvml.nvmlInit()
+    NVIDIA_SMI_AVAILABLE = True
+except ImportError:
+    NVIDIA_SMI_AVAILABLE = False
+    if shutil.which("nvidia-smi") is not None:
+        print("\n" + "=" * 80)
+        print("WARNING: NVIDIA GPU detected, but 'pynvml' is not installed.")
+        print("To enable GPU tracking, please install the optional 'gpu' dependencies:")
+        print("\n    poetry install --with gpu\n")
+        print("=" * 80 + "\n")
+except pynvml.NVMLError:
+    # if pynvml is installed but driver communication fails
+    NVIDIA_SMI_AVAILABLE = False
+    print(
+        "\nWARNING: 'pynvml' is installed, but could not connect to the NVIDIA driver."
+    )
+    print("GPU tracking will be disabled. Check your driver installation.\n")
+
+
+class GreenCodeTracker:
+    """
+    A class to track function run times and system specs, saving the data to a CSV file.
+
+    This class can be used as a context manager to easily time blocks of code.
+    It records hardware specifications like CPU and GPU models, core counts, and
+    available memory, along with the runtime of the specified code block.
+
+    Attributes:
+        file_name (str): The name of the CSV file where tracking data is stored.
+        headers (list): The column headers for the CSV file.
+        system_specs (dict): A dictionary containing details about the system's hardware.
+    """
+
+    def __init__(self, file_path="green_code_tracking.csv"):
+        """
+        Initializes the GreenCodeTracker.
+
+        Args:
+
+        """
+        self.file_name = file_path
+        self.headers = [
+            "Timestamp",
+            "Runtime(format HH:MM:SS)",
+            "Title",
+            "CPUmodel",
+            "GPU model",
+            "Number of CPU cores",
+            "Number of GPU cores",
+            "Memory available (GB)",
+        ]
+        self.system_specs = self._get_system_specs()
+        self._ensure_header()
+
+    def _get_system_specs(self):
+        """
+        Gathers system hardware specifications.
+
+        Collects information about the CPU, GPU (if available), and memory.
+
+        Returns:
+            dict: A dictionary containing system specifications.
+        """
+        cpu_model = cpuinfo.get_cpu_info().get("brand_raw", "N/A")
+        cpu_cores = psutil.cpu_count(logical=True)
+        gpu_model, gpu_cores = "N/A", "N/A"
+        if NVIDIA_SMI_AVAILABLE:
+            try:
+                device_count = pynvml.nvmlDeviceGetCount()
+                if device_count > 0:
+                    handle = pynvml.nvmlDeviceGetHandleByIndex(0)
+                    gpu_model = pynvml.nvmlDeviceGetName(handle)
+                    try:
+                        gpu_cores = pynvml.nvmlDeviceGetMultiProcessorCount(handle)
+                    except pynvml.NVMLError:
+                        gpu_cores = "N/A (older card)"
+            except pynvml.NVMLError:
+                gpu_model = "NVIDIA driver issue"
+        memory_gb = round(psutil.virtual_memory().total / (1024**3), 2)
+        return {
+            "CPUmodel": cpu_model,
+            "Number of CPU cores": cpu_cores,
+            "GPU model": gpu_model,
+            "Number of GPU cores": gpu_cores,
+            "Memory available (GB)": memory_gb,
+        }
+
+    def _ensure_header(self):
+        """
+        Ensures the CSV file exists and has a header row.
+
+        If the file does not exist, it is created and the headers defined in
+        `self.headers` are written to it.
+        """
+        if not os.path.exists(self.file_name):
+            with open(self.file_name, "w", newline="", encoding="utf-8") as f:
+                writer = csv.DictWriter(f, fieldnames=self.headers)
+                writer.writeheader()
+
+    def track(self, start, end, title, verbose=False):
+        """
+        Records a single tracking entry to the CSV file.
+
+        Args:
+            start (float): The start time (from `time.perf_counter()`).
+            end (float): The end time (from `time.perf_counter()`).
+            title (str): A descriptive title for the tracked event.
+            verbose (bool, optional): If True, prints a summary to the console.
+                                      Defaults to False.
+        """
+        runtime_seconds = end - start
+        runtime_formatted = time.strftime("%H:%M:%S", time.gmtime(runtime_seconds))
+        data_row = {
+            "Timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+            "Runtime(format HH:MM:SS)": runtime_formatted,
+            "Title": title,
+            **self.system_specs,
+        }
+        with open(self.file_name, "a", newline="", encoding="utf-8") as f:
+            writer = csv.DictWriter(f, fieldnames=self.headers)
+            writer.writerow(data_row)
+        if verbose:
+            self._print_verbose_summary(title, runtime_seconds, runtime_formatted)
+
+    @contextlib.contextmanager
+    def time(self, title, verbose=False):
+        """
+        A context manager to time a block of code.
+
+        Example:
+            tracker = GreenCodeTracker()
+            with tracker.time("data_processing", verbose=True):
+                # Code to be timed
+                time.sleep(1)
+
+        Args:
+            title (str): A descriptive title for the timed block.
+            verbose (bool, optional): If True, prints a summary to the console
+                                      upon exiting the context. Defaults to False.
+        """
+        start_time = perf_counter()
+        try:
+            yield
+        finally:
+            end_time = perf_counter()
+            self.track(start_time, end_time, title, verbose=verbose)
+
+    def _print_verbose_summary(self, title, runtime_seconds, runtime_formatted):
+        """
+        Prints a formatted summary of the tracking results to the console.
+
+        Args:
+            title (str): The title of the tracked event.
+            runtime_seconds (float): The total runtime in seconds.
+            runtime_formatted (str): The runtime formatted as HH:MM:SS.
+        """
+        print("\n" + "=" * 150)
+        print(
+            f"                    GREEN CODE INITIATIVE - {title}                          "
+        )
+        print("-" * 150)
+        print(
+            f"Total time taken for {title}: {runtime_seconds:.3f} seconds ({runtime_formatted})"
+        )
+        print(
+            f"CPU: {self.system_specs['CPUmodel']} ({self.system_specs['Number of CPU cores']} cores)"
+        )
+        if self.system_specs["GPU model"] != "N/A":
+            print(
+                f"GPU: {self.system_specs['GPU model']} ({self.system_specs['Number of GPU cores']} multiprocessors)"
+            )
+        print(f"Memory: {self.system_specs['Memory available (GB)']} GB")
+        print(f"\n{title} complete. All results saved to {self.file_name}")
+        print("=" * 150 + "\n")
diff --git a/baler/modules/helper.py b/baler/modules/helper.py
index dcacdc21..f8fe53e2 100644
--- a/baler/modules/helper.py
+++ b/baler/modules/helper.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -16,10 +16,10 @@
 import importlib
 import os
 import sys
+from datetime import datetime
 from dataclasses import dataclass
 from math import ceil
 import gzip
-
 from tqdm import tqdm
 
 sys.path.append(os.getcwd())
@@ -28,7 +28,7 @@
 from torch.utils.data import DataLoader
 from sklearn.model_selection import train_test_split
 
-from ..modules import training, plotting, data_processing, diagnostics
+from ..modules import training, plotting, data_processing, diagnostics, green_code
 
 
 def get_arguments():
@@ -849,3 +849,10 @@ def perform_hls4ml_conversion(output_path, config):
     hls_model.build(
         csim=config.csim, synth=config.synth, cosim=config.cosim, export=config.export
     )
+
+
+def setup_green_tracker():
+    """
+    Initializes and returns an instance of the GreenCodeTracker.
+    """
+    return green_code.GreenCodeTracker()
diff --git a/baler/modules/models.py b/baler/modules/models.py
index 62075b92..67e368d2 100644
--- a/baler/modules/models.py
+++ b/baler/modules/models.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/baler/modules/plotting.py b/baler/modules/plotting.py
index aa59656f..52898e24 100644
--- a/baler/modules/plotting.py
+++ b/baler/modules/plotting.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/baler/modules/training.py b/baler/modules/training.py
index ca189def..0c6472fd 100644
--- a/baler/modules/training.py
+++ b/baler/modules/training.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -280,7 +280,7 @@ def train(model, variables, train_data, test_data, project_path, config):
     # Training and Validation of the model
     train_loss = []
     val_loss = []
-    start = time.time()
+    start = time.perf_counter()
 
     # Registering hooks for activation extraction
     if config.activation_extraction:
@@ -328,7 +328,7 @@ def train(model, variables, train_data, test_data, project_path, config):
                 path = os.path.join(project_path, f"model_{epoch}.pt")
                 helper.model_saver(model, path)
 
-    end = time.time()
+    end = time.perf_counter()
 
     # Saving activations values
     if config.activation_extraction:
@@ -336,7 +336,7 @@ def train(model, variables, train_data, test_data, project_path, config):
         model.detach_hooks(hooks)
         np.save(os.path.join(project_path, "activations.npy"), activations)
 
-    print(f"{(end - start) / 60:.3} minutes")
+    print(f"{(end - start):.3} seconds")
     np.save(
         os.path.join(project_path, "loss_data.npy"), np.array([train_loss, val_loss])
     )
diff --git a/baler/modules/utils.py b/baler/modules/utils.py
index 23b63687..7bb7a233 100644
--- a/baler/modules/utils.py
+++ b/baler/modules/utils.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/poetry.lock b/poetry.lock
index 7b949e57..267eb68b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -6,6 +6,8 @@ version = "1.4.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"},
     {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"},
@@ -17,6 +19,8 @@ version = "1.6.3"
 description = "An AST unparser for Python"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
     {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
@@ -32,6 +36,7 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -68,7 +73,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -78,6 +83,8 @@ version = "5.3.3"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
     {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
@@ -89,6 +96,8 @@ version = "1.3.1"
 description = "Various parsers for ECMA standards."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "calmjs.parse-1.3.1-py2-none-any.whl", hash = "sha256:9d3cec13fcc914f635c4940d2bfe007800093435b4ad4ef7d4e91d81dda66c80"},
     {file = "calmjs.parse-1.3.1-py3-none-any.whl", hash = "sha256:34e087b2a7a3117264df416d7d6793000bc59773e182ffef7da2dd7820f88028"},
@@ -105,6 +114,8 @@ version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
     {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
@@ -116,6 +127,8 @@ version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = true
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
@@ -215,6 +228,7 @@ version = "8.1.7"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
     {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
@@ -229,10 +243,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
+markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "sys_platform == \"win32\" or platform_system == \"Windows\""}
 
 [[package]]
 name = "contourpy"
@@ -240,6 +256,7 @@ version = "1.1.1"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "contourpy-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b"},
     {file = "contourpy-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d"},
@@ -311,6 +328,7 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -326,6 +344,8 @@ version = "0.1.8"
 description = "Tree is a library for working with nested data structures."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "dm-tree-0.1.8.tar.gz", hash = "sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430"},
     {file = "dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60"},
@@ -381,6 +401,8 @@ version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.10\""
 files = [
     {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
     {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
@@ -395,6 +417,7 @@ version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
     {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
@@ -403,7 +426,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
-typing = ["typing-extensions (>=4.8)"]
+typing = ["typing-extensions (>=4.8) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flatbuffers"
@@ -411,6 +434,8 @@ version = "23.5.26"
 description = "The FlatBuffers serialization format for Python"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
     {file = "flatbuffers-23.5.26.tar.gz", hash = "sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89"},
@@ -422,6 +447,7 @@ version = "4.49.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fonttools-4.49.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d970ecca0aac90d399e458f0b7a8a597e08f95de021f17785fb68e2dc0b99717"},
     {file = "fonttools-4.49.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac9a745b7609f489faa65e1dc842168c18530874a5f5b742ac3dd79e26bca8bc"},
@@ -468,18 +494,18 @@ files = [
 ]
 
 [package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0) ; python_version <= \"3.12\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "pycairo", "scipy"]
+interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""]
 lxml = ["lxml (>=4.0)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
 symfont = ["sympy"]
-type1 = ["xattr"]
+type1 = ["xattr ; sys_platform == \"darwin\""]
 ufo = ["fs (>=2.2.0,<3)"]
-unicode = ["unicodedata2 (>=15.1.0)"]
-woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""]
+woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "fsspec"
@@ -487,6 +513,7 @@ version = "2024.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
     {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
@@ -522,6 +549,8 @@ version = "0.4.0"
 description = "Python AST that abstracts the underlying Python version"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "gast-0.4.0-py3-none-any.whl", hash = "sha256:b7adcdd5adbebf1adf17378da5ba3f543684dbec47b1cda1f3997e573cd542c4"},
     {file = "gast-0.4.0.tar.gz", hash = "sha256:40feb7b8b8434785585ab224d1568b857edb18297e5a3047f1ba012bc83b42c1"},
@@ -533,6 +562,8 @@ version = "2.28.1"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "google-auth-2.28.1.tar.gz", hash = "sha256:34fc3046c257cedcf1622fc4b31fc2be7923d9b4d44973d481125ecc50d83885"},
     {file = "google_auth-2.28.1-py2.py3-none-any.whl", hash = "sha256:25141e2d7a14bfcba945f5e9827f98092716e99482562f15306e5b026e21aa72"},
@@ -556,6 +587,8 @@ version = "1.0.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "google-auth-oauthlib-1.0.0.tar.gz", hash = "sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5"},
     {file = "google_auth_oauthlib-1.0.0-py2.py3-none-any.whl", hash = "sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb"},
@@ -574,6 +607,8 @@ version = "0.2.0"
 description = "pasta is an AST-based Python refactoring library"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
     {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
@@ -589,6 +624,8 @@ version = "1.62.0"
 description = "HTTP/2-based RPC framework"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "grpcio-1.62.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:136ffd79791b1eddda8d827b607a6285474ff8a1a5735c4947b58c481e5e4271"},
     {file = "grpcio-1.62.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:d6a56ba703be6b6267bf19423d888600c3f574ac7c2cc5e6220af90662a4d6b0"},
@@ -655,6 +692,8 @@ version = "3.10.0"
 description = "Read and write HDF5 files from Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "h5py-3.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b963fb772964fc1d1563c57e4e2e874022ce11f75ddc6df1a626f42bd49ab99f"},
     {file = "h5py-3.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:012ab448590e3c4f5a8dd0f3533255bc57f80629bf7c5054cf4c87b30085063c"},
@@ -692,6 +731,8 @@ version = "0.7.1"
 description = "Machine learning in FPGAs using HLS"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "hls4ml-0.7.1-py3-none-any.whl", hash = "sha256:086c578c192908c12e1e579632faeb97635aeb0a31cd844ca8e7978cd0069df7"},
     {file = "hls4ml-0.7.1.tar.gz", hash = "sha256:a2ef3754243987f0295c3c123207405e96834541373aed4e4a4369f002199097"},
@@ -717,6 +758,8 @@ version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
     {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
@@ -728,6 +771,8 @@ version = "7.0.1"
 description = "Read metadata from Python packages"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\" and python_version <= \"3.9\""
 files = [
     {file = "importlib_metadata-7.0.1-py3-none-any.whl", hash = "sha256:4805911c3a4ec7c3966410053e9ec6a1fecd629117df5adee56dfc9432a1081e"},
     {file = "importlib_metadata-7.0.1.tar.gz", hash = "sha256:f238736bb06590ae52ac1fab06a3a9ef1d8dce2b7a35b5ab329371d6c8f5d2cc"},
@@ -739,7 +784,7 @@ zipp = ">=0.5"
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7) ; platform_python_implementation != \"PyPy\"", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1) ; platform_python_implementation != \"PyPy\"", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
 [[package]]
 name = "importlib-resources"
@@ -747,6 +792,8 @@ version = "6.1.2"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.9\""
 files = [
     {file = "importlib_resources-6.1.2-py3-none-any.whl", hash = "sha256:9a0a862501dc38b68adebc82970140c9e4209fc99601782925178f8386339938"},
     {file = "importlib_resources-6.1.2.tar.gz", hash = "sha256:308abf8474e2dba5f867d279237cd4076482c3de7104a40b41426370e891549b"},
@@ -757,7 +804,7 @@ zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy ; platform_python_implementation != \"PyPy\"", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "iniconfig"
@@ -765,6 +812,7 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -776,6 +824,8 @@ version = "0.4.13"
 description = "Differentiate, compile, and transform Numpy code."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "jax-0.4.13.tar.gz", hash = "sha256:03bfe6749dfe647f16f15f6616638adae6c4a7ca7167c75c21961ecfd3a3baaa"},
 ]
@@ -806,6 +856,7 @@ version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
     {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
@@ -823,6 +874,7 @@ version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
     {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
@@ -834,6 +886,8 @@ version = "2.12.0"
 description = "Deep learning for humans."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "keras-2.12.0-py2.py3-none-any.whl", hash = "sha256:35c39534011e909645fb93515452e98e1a0ce23727b55d4918b9c58b2308c15e"},
 ]
@@ -844,6 +898,8 @@ version = "1.4.7"
 description = "A Hyperparameter Tuning Library for Keras"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "keras-tuner-1.4.7.tar.gz", hash = "sha256:6befd25ee81476e6207d8ca7ed7dc674b8194437cfa0b127294cd00da905ff22"},
     {file = "keras_tuner-1.4.7-py3-none-any.whl", hash = "sha256:0bcf0220eccc74e7a6a9bd7c8e58531a1af8515019e6bc2dc495833155c07fe2"},
@@ -868,6 +924,7 @@ version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"},
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"},
@@ -981,6 +1038,8 @@ version = "1.0.5"
 description = "Legacy import names for Keras Tuner"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "kt-legacy-1.0.5.tar.gz", hash = "sha256:dbbade58f12c6a6da6062f4b045a6395a8d4195815e3e064bc3e609b69c8a26c"},
     {file = "kt_legacy-1.0.5-py3-none-any.whl", hash = "sha256:8d5c5b3dccf348367fe9ca5b006e7ad2d1babcce62976cfc199e831ea699dcd3"},
@@ -992,6 +1051,8 @@ version = "16.0.6"
 description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "libclang-16.0.6-1-py2.py3-none-manylinux2014_aarch64.whl", hash = "sha256:88bc7e7b393c32e41e03ba77ef02fdd647da1f764c2cd028e69e0837080b79f6"},
     {file = "libclang-16.0.6-1-py2.py3-none-manylinux2014_armv7l.whl", hash = "sha256:d80ed5827736ed5ec2bcedf536720476fd9d4fa4c79ef0cb24aea4c59332f361"},
@@ -1012,6 +1073,8 @@ version = "3.5.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "Markdown-3.5.2-py3-none-any.whl", hash = "sha256:d43323865d89fc0cb9b20c75fc8ad313af307cc087e84b657d9eec768eddeadd"},
     {file = "Markdown-3.5.2.tar.gz", hash = "sha256:e1ac7b3dc550ee80e602e71c1d168002f062e49f1b11e26a36264dafd4df2ef8"},
@@ -1030,6 +1093,7 @@ version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
@@ -1099,6 +1163,7 @@ version = "3.7.5"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "matplotlib-3.7.5-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:4a87b69cb1cb20943010f63feb0b2901c17a3b435f75349fd9865713bfa63925"},
     {file = "matplotlib-3.7.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:d3ce45010fefb028359accebb852ca0c21bd77ec0f281952831d235228f15810"},
@@ -1167,6 +1232,8 @@ version = "0.2.0"
 description = ""
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "ml_dtypes-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:df6a76e1c8adf484feb138ed323f9f40a7b6c21788f120f7c78bec20ac37ee81"},
     {file = "ml_dtypes-0.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc29a0524ef5e23a7fbb8d881bdecabeb3fc1d19d9db61785d077a86cb94fab2"},
@@ -1203,6 +1270,7 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -1211,7 +1279,7 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
@@ -1220,6 +1288,7 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -1231,6 +1300,7 @@ version = "3.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "networkx-3.1-py3-none-any.whl", hash = "sha256:4f33f68cb2afcf86f28a45f43efc27a9386b535d567d2127f8f61d51dec58d36"},
     {file = "networkx-3.1.tar.gz", hash = "sha256:de346335408f84de0eada6ff9fafafff9bcda11f0a0dfaa931133debb146ab61"},
@@ -1249,6 +1319,7 @@ version = "1.23.5"
 description = "NumPy is the fundamental package for array computing with Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9c88793f78fca17da0145455f0d7826bcb9f37da4764af27ac945488116efe63"},
     {file = "numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e9f4c4e51567b616be64e05d517c79a8a22f3606499941d97bb76f2ca59f982d"},
@@ -1286,6 +1357,8 @@ version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
     {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
@@ -1297,6 +1370,8 @@ version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
     {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
@@ -1308,6 +1383,8 @@ version = "12.1.105"
 description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
     {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
@@ -1319,6 +1396,8 @@ version = "12.1.105"
 description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
     {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
@@ -1330,6 +1409,8 @@ version = "8.9.2.26"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
 ]
@@ -1343,6 +1424,8 @@ version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
     {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
@@ -1354,6 +1437,8 @@ version = "10.3.2.106"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
     {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
@@ -1365,6 +1450,8 @@ version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
     {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
@@ -1381,6 +1468,8 @@ version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
     {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
@@ -1389,12 +1478,27 @@ files = [
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-ml-py"
+version = "12.575.51"
+description = "Python Bindings for the NVIDIA Management Library"
+optional = false
+python-versions = "*"
+groups = ["gpu"]
+markers = "python_version > \"3.9\""
+files = [
+    {file = "nvidia_ml_py-12.575.51-py3-none-any.whl", hash = "sha256:eb8641800d98ce40a22f479873f34b482e214a7e80349c63be51c3919845446e"},
+    {file = "nvidia_ml_py-12.575.51.tar.gz", hash = "sha256:6490e93fea99eb4e966327ae18c6eec6256194c921f23459c8767aee28c54581"},
+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
 version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
 ]
@@ -1405,7 +1509,10 @@ version = "12.4.99"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
+    {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_aarch64.whl", hash = "sha256:75d6498c96d9adb9435f2bbdbddb479805ddfb97b5c1b32395c694185c20ca57"},
     {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c6428836d20fe7e327191c175791d38570e10762edc588fb46749217cd444c74"},
     {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-win_amd64.whl", hash = "sha256:991905ffa2144cb603d8ca7962d75c35334ae82bf92820b6ba78157277da1ad2"},
 ]
@@ -1416,6 +1523,8 @@ version = "12.1.105"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
@@ -1427,6 +1536,8 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -1443,6 +1554,8 @@ version = "1.15.0"
 description = "Open Neural Network Exchange"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "onnx-1.15.0-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:51cacb6aafba308aaf462252ced562111f6991cdc7bc57a6c554c3519453a8ff"},
     {file = "onnx-1.15.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:0aee26b6f7f7da7e840de75ad9195a77a147d0662c94eaa6483be13ba468ffc1"},
@@ -1484,6 +1597,8 @@ version = "3.3.0"
 description = "Optimizing numpys einsum function"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"},
     {file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"},
@@ -1502,6 +1617,7 @@ version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
     {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
@@ -1513,6 +1629,8 @@ version = "1.6.5"
 description = "parse() is the opposite of format()"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "parse-1.6.5.tar.gz", hash = "sha256:c9545154ba6b0ede5b52c2877443a463dfc02f14fe43525d15255311939c3a72"},
 ]
@@ -1523,6 +1641,7 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -1534,6 +1653,7 @@ version = "10.2.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"},
     {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"},
@@ -1610,7 +1730,7 @@ docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -1619,6 +1739,7 @@ version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
     {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
@@ -1634,6 +1755,7 @@ version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
     {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
@@ -1649,6 +1771,8 @@ version = "3.11"
 description = "Python Lex & Yacc"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"},
     {file = "ply-3.11.tar.gz", hash = "sha256:00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3"},
@@ -1660,6 +1784,8 @@ version = "4.25.3"
 description = ""
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "protobuf-4.25.3-cp310-abi3-win32.whl", hash = "sha256:d4198877797a83cbfe9bffa3803602bbe1625dc30d8a097365dbc762e5790faa"},
     {file = "protobuf-4.25.3-cp310-abi3-win_amd64.whl", hash = "sha256:209ba4cc916bab46f64e56b85b090607a676f66b473e6b762e6f1d9d591eb2e8"},
@@ -1674,12 +1800,50 @@ files = [
     {file = "protobuf-4.25.3.tar.gz", hash = "sha256:25b5d0b42fd000320bd7830b349e3b696435f3b329810427a6bcce6a5492cc5c"},
 ]
 
+[[package]]
+name = "psutil"
+version = "7.0.0"
+description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25"},
+    {file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"},
+    {file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91"},
+    {file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34"},
+    {file = "psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f098451abc2828f7dc6b58d44b532b22f2088f4999a937557b603ce72b1993"},
+    {file = "psutil-7.0.0-cp36-cp36m-win32.whl", hash = "sha256:84df4eb63e16849689f76b1ffcb36db7b8de703d1bc1fe41773db487621b6c17"},
+    {file = "psutil-7.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:1e744154a6580bc968a0195fd25e80432d3afec619daf145b9e5ba16cc1d688e"},
+    {file = "psutil-7.0.0-cp37-abi3-win32.whl", hash = "sha256:ba3fcef7523064a6c9da440fc4d6bd07da93ac726b5733c29027d7dc95b39d99"},
+    {file = "psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553"},
+    {file = "psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456"},
+]
+
+[package.extras]
+dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
+test = ["pytest", "pytest-xdist", "setuptools"]
+
+[[package]]
+name = "py-cpuinfo"
+version = "9.0.0"
+description = "Get CPU info with pure Python"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "py-cpuinfo-9.0.0.tar.gz", hash = "sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690"},
+    {file = "py_cpuinfo-9.0.0-py3-none-any.whl", hash = "sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5"},
+]
+
 [[package]]
 name = "pyasn1"
 version = "0.5.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"},
     {file = "pyasn1-0.5.1.tar.gz", hash = "sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c"},
@@ -1691,6 +1855,8 @@ version = "0.3.0"
 description = "A collection of ASN.1-based protocols modules"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"},
     {file = "pyasn1_modules-0.3.0.tar.gz", hash = "sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c"},
@@ -1705,17 +1871,53 @@ version = "1.1"
 description = "Library for operations with VCD and other digital wave files"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "pyDigitalWaveTools-1.1-py3-none-any.whl", hash = "sha256:aa1c3b2447786afab3412baa4d86bb4d1df9723a8df7076a1d9976ebdda1874c"},
     {file = "pyDigitalWaveTools-1.1.tar.gz", hash = "sha256:c7f0e06f7ed543a2f5f7110a4a8f2aae9e3ae328bb67ebd5b2a6db862efe7d33"},
 ]
 
+[[package]]
+name = "pynvml"
+version = "11.5.3"
+description = "Python utilities for the NVIDIA Management Library"
+optional = false
+python-versions = ">=3.6"
+groups = ["gpu"]
+markers = "python_version <= \"3.9\""
+files = [
+    {file = "pynvml-11.5.3-py3-none-any.whl", hash = "sha256:a5fba3ab14febda50d19dbda012ef62ae0aed45b7ccc07af0bc5be79223e450c"},
+    {file = "pynvml-11.5.3.tar.gz", hash = "sha256:183d223ae487e5f00402d8da06c68c978ef8a9295793ee75559839c6ade7b229"},
+]
+
+[[package]]
+name = "pynvml"
+version = "12.0.0"
+description = "Python utilities for the NVIDIA Management Library"
+optional = false
+python-versions = ">=3.9"
+groups = ["gpu"]
+markers = "python_version > \"3.9\""
+files = [
+    {file = "pynvml-12.0.0-py3-none-any.whl", hash = "sha256:fdff84b62a27dbe98e08e1a647eb77342bef1aebe0878bcd15e99a83fcbecb9e"},
+    {file = "pynvml-12.0.0.tar.gz", hash = "sha256:299ce2451a6a17e6822d6faee750103e25b415f06f59abb8db65d30f794166f5"},
+]
+
+[package.dependencies]
+nvidia-ml-py = ">=12.0.0,<13.0.0a0"
+
+[package.extras]
+test = ["pytest (>=3.6)", "pytest-cov", "pytest-runner"]
+
 [[package]]
 name = "pyparser"
 version = "1.0"
 description = "pyparser is a collection of classes to make it easier to parse text data in a pythonic way."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "pyparser-1.0.tar.gz", hash = "sha256:d1b76e2dabdd2952cadfd545229cc144afee6130bf171a031d5bf53f11b912f5"},
 ]
@@ -1729,6 +1931,7 @@ version = "3.1.2"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
+groups = ["main"]
 files = [
     {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
     {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
@@ -1743,6 +1946,7 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -1759,12 +1963,31 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 [package.extras]
 testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
+[[package]]
+name = "pytest-mock"
+version = "3.14.1"
+description = "Thin-wrapper around the mock package for easier use with pytest"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pytest_mock-3.14.1-py3-none-any.whl", hash = "sha256:178aefcd11307d874b4cd3100344e7e2d888d9791a6a1d9bfe90fbc1b74fd1d0"},
+    {file = "pytest_mock-3.14.1.tar.gz", hash = "sha256:159e9edac4c451ce77a5cdb9fc5d1100708d2dd4ba3c3df572f14097351af80e"},
+]
+
+[package.dependencies]
+pytest = ">=6.2.5"
+
+[package.extras]
+dev = ["pre-commit", "pytest-asyncio", "tox"]
+
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -1779,6 +2002,8 @@ version = "6.0.1"
 description = "YAML parser and emitter for Python"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
@@ -1839,6 +2064,8 @@ version = "0.9.0"
 description = "Quantization package for Keras"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "QKeras-0.9.0-py3-none-any.whl", hash = "sha256:087d9973725c285e4be69ba71b0aa92b5c5dab36c41ad8e8f1480b9a0d6397c8"},
     {file = "QKeras-0.9.0.tar.gz", hash = "sha256:b30f751420fa9172e53bab59ed65275ff9ec4085124491f3f5c89b7563d00b2a"},
@@ -1861,6 +2088,8 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -1882,6 +2111,8 @@ version = "1.3.1"
 description = "OAuthlib authentication support for Requests."
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"},
     {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"},
@@ -1900,6 +2131,8 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = true
 python-versions = ">=3.6,<4"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -1914,6 +2147,7 @@ version = "1.3.2"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "scikit-learn-1.3.2.tar.gz", hash = "sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05"},
     {file = "scikit_learn-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1"},
@@ -1961,6 +2195,7 @@ version = "1.10.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = "<3.12,>=3.8"
+groups = ["main"]
 files = [
     {file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
     {file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
@@ -1999,6 +2234,8 @@ version = "69.1.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "setuptools-69.1.1-py3-none-any.whl", hash = "sha256:02fa291a0471b3a18b2b2481ed902af520c69e8ae0919c13da936542754b4c56"},
     {file = "setuptools-69.1.1.tar.gz", hash = "sha256:5c0806c7d9af348e6dd3777b4f4dbb42c7ad85b190104837488eab9a7c945cf8"},
@@ -2006,7 +2243,7 @@ files = [
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov ; platform_python_implementation != \"PyPy\"", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1) ; platform_python_implementation != \"PyPy\"", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
@@ -2015,6 +2252,7 @@ version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -2026,6 +2264,7 @@ version = "1.12"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
     {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
@@ -2040,6 +2279,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -2054,6 +2295,8 @@ version = "2.12.3"
 description = "TensorBoard lets you watch Tensors Flow"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "tensorboard-2.12.3-py3-none-any.whl", hash = "sha256:b4a69366784bc347e02fbe7d847e01896a649ca52f8948a11005e205dcf724fb"},
 ]
@@ -2078,6 +2321,8 @@ version = "0.7.2"
 description = "Fast data loading for TensorBoard"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
     {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"},
@@ -2090,6 +2335,8 @@ version = "2.12.0"
 description = "TensorFlow is an open source machine learning framework for everyone."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "tensorflow-2.12.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:be4ac0dfcc7a16f6df2bc19bd322e312235ab3f7b0c7297f96c92c44bb14d2a1"},
     {file = "tensorflow-2.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5193ddb3bb5120cb445279beb08ed9e74a85a4eeb2485550d6fb707a89d9a88"},
@@ -2139,6 +2386,8 @@ version = "2.12.0"
 description = "TensorFlow Estimator."
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "tensorflow_estimator-2.12.0-py2.py3-none-any.whl", hash = "sha256:59b191bead4883822de3d63ac02ace11a83bfe6c10d64d0c4dfde75a50e60ca1"},
 ]
@@ -2149,6 +2398,8 @@ version = "0.36.0"
 description = "TensorFlow IO"
 optional = true
 python-versions = ">=3.7, <3.12"
+groups = ["main"]
+markers = "(platform_machine != \"arm64\" or platform_system != \"Darwin\") and extra == \"hls4ml\""
 files = [
     {file = "tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:702c6df62b38095ff613c433546d9424d4f33902a5ab26b00fd26457e27a99fa"},
     {file = "tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e9b8aaca2789af356c42afda0f52380f82e5abb2f3c0b85087833fcfe03875d8"},
@@ -2178,6 +2429,8 @@ version = "0.8.0"
 description = "A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution."
 optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "tensorflow_model_optimization-0.8.0-py2.py3-none-any.whl", hash = "sha256:50303e6ed6d07c1a7801215f5cc854dad388ea8de319e46746ca35789e4ee7b3"},
 ]
@@ -2194,6 +2447,8 @@ version = "2.4.0"
 description = "ANSI color formatting for output in terminal"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
     {file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
@@ -2208,6 +2463,7 @@ version = "3.3.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "threadpoolctl-3.3.0-py3-none-any.whl", hash = "sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e"},
     {file = "threadpoolctl-3.3.0.tar.gz", hash = "sha256:5dac632b4fa2d43f42130267929af3ba01399ef4bd1882918e92dbc30365d30c"},
@@ -2219,6 +2475,8 @@ version = "2.0.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.10\""
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
@@ -2230,6 +2488,7 @@ version = "2.2.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "torch-2.2.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:8d3bad336dd2c93c6bcb3268e8e9876185bda50ebde325ef211fb565c7d15273"},
     {file = "torch-2.2.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:5297f13370fdaca05959134b26a06a7f232ae254bf2e11a50eddec62525c9006"},
@@ -2288,6 +2547,7 @@ version = "4.66.2"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
     {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
@@ -2308,6 +2568,8 @@ version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
     {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
@@ -2331,10 +2593,12 @@ version = "4.10.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
     {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
 ]
+markers = {dev = "python_version <= \"3.10\""}
 
 [[package]]
 name = "urllib3"
@@ -2342,13 +2606,15 @@ version = "2.2.1"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
     {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -2359,6 +2625,8 @@ version = "3.0.1"
 description = "The comprehensive WSGI web application library."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
     {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
@@ -2376,6 +2644,8 @@ version = "0.42.0"
 description = "A built-package format for Python"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "wheel-0.42.0-py3-none-any.whl", hash = "sha256:177f9c9b0d45c47873b619f5b650346d632cdc35fb5e4d25058e09c9e581433d"},
     {file = "wheel-0.42.0.tar.gz", hash = "sha256:c45be39f7882c9d34243236f2d63cbd58039e360f85d0913425fbd7ceea617a8"},
@@ -2390,6 +2660,8 @@ version = "1.14.1"
 description = "Module for decorators, wrappers and monkey patching."
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+groups = ["main"]
+markers = "extra == \"hls4ml\""
 files = [
     {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"},
     {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef"},
@@ -2473,6 +2745,8 @@ version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.9\""
 files = [
     {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
     {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
@@ -2480,12 +2754,12 @@ files = [
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7) ; platform_python_implementation != \"PyPy\"", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1) ; platform_python_implementation != \"PyPy\"", "pytest-ruff"]
 
 [extras]
 hls4ml = ["hls4ml", "tensorflow"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.8, <3.11.10"
-content-hash = "0b0cf4871b8e171e15c6001e9f68266ef3585ecf750d1aee374b68f94ee3cf72"
+content-hash = "d92bcb1cf70c320cf057901aa97b8e11cda81b1c4bd60d3d561c455a20429007"
diff --git a/pyproject.toml b/pyproject.toml
index 193d2759..2553ff10 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,6 +17,9 @@ scikit-learn = "^1.2.0"
 hls4ml = { version = "^0.7.1", optional = true }
 tensorflow = { version = "^2.12.0", optional = true }
 numpy = "1.23.5"
+py-cpuinfo = "^9.0.0"
+psutil = "^7.0.0"
+pytest-mock = "^3.14.1"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.2.1"
@@ -28,3 +31,9 @@ hls4ml = [ "hls4ml", "tensorflow" ]
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.group.gpu]
+optional = true
+
+[tool.poetry.group.gpu.dependencies]
+pynvml = ">=11.0.0" # This adds pynvml to the 'gpu' group
\ No newline at end of file
diff --git a/tests/test_data_processing.py b/tests/test_data_processing.py
index 1cfc479e..d1f3d3ce 100644
--- a/tests/test_data_processing.py
+++ b/tests/test_data_processing.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tests/test_green_code.py b/tests/test_green_code.py
new file mode 100644
index 00000000..b30e0872
--- /dev/null
+++ b/tests/test_green_code.py
@@ -0,0 +1,111 @@
+import os
+import csv
+import time
+from unittest.mock import MagicMock, patch
+import pytest
+from baler.modules.green_code import GreenCodeTracker
+
+@pytest.fixture
+def mock_specs():
+    """A fixture to provide a consistent, fake set of system specs."""
+    return {
+        "CPUmodel": "Fake CPU v1",
+        "Number of CPU cores": 8,
+        "GPU model": "Fake GPU v1",
+        "Number of GPU cores": 1024,
+        "Memory available (GB)": 16.0,
+    }
+
+class TestGreenCodeTracker:
+    """Group of tests for the GreenCodeTracker class."""
+
+    def test_init_creates_file_and_header(self, tmp_path, mock_specs, mocker):
+        """
+        Test that the constructor creates a CSV file with the correct header.
+        We mock _get_system_specs to isolate the test from the hardware.
+        """
+        mocker.patch.object(GreenCodeTracker, '_get_system_specs', return_value=mock_specs)
+        test_file = tmp_path / "green_code_tracking_test.csv"
+        tracker = GreenCodeTracker(file_path=str(test_file))
+        
+
+        assert os.path.exists(test_file)
+        with open(test_file, 'r') as f:
+            reader = csv.reader(f)
+            header = next(reader)
+            assert header == tracker.headers
+
+    def test_track_method_writes_correct_row(self, tmp_path, mock_specs, mocker):
+        """Test that the track() method appends a correctly formatted row."""
+        mocker.patch.object(GreenCodeTracker, '_get_system_specs', return_value=mock_specs)
+        test_file = tmp_path / "green_code_tracking_test.csv"
+        tracker = GreenCodeTracker(file_path=str(test_file))
+
+        tracker.track(start=100.0, end=102.5, title="Test Task")
+
+        with open(tracker.file_name, 'r') as f:
+            reader = list(csv.DictReader(f))
+            assert len(reader) == 1
+            row = reader[0]
+            assert row["Title"] == "Test Task"
+            assert row["Runtime(format HH:MM:SS)"] == "00:00:02"
+            assert row["CPUmodel"] == "Fake CPU v1"
+            assert row["GPU model"] == "Fake GPU v1"
+
+    def test_time_context_manager(self, tmp_path, mock_specs, mocker):
+        """Test that the time() context manager works as expected."""
+        mocker.patch.object(GreenCodeTracker, '_get_system_specs', return_value=mock_specs)
+        test_file = tmp_path / "green_code_tracking_test.csv"
+        tracker = GreenCodeTracker(file_path=str(test_file))
+
+        with tracker.time("Context Task"):
+            time.sleep(0.01)
+
+        with open(tracker.file_name, 'r') as f:
+            reader = list(csv.DictReader(f))
+            assert len(reader) == 1
+            assert reader[0]["Title"] == "Context Task"
+            assert reader[0]["Runtime(format HH:MM:SS)"] == "00:00:00"
+
+    def test_get_system_specs_with_gpu(self, tmp_path, mocker):
+        """Test spec gathering on a mocked system WITH an NVIDIA GPU."""
+        # Mock all external calls
+        mocker.patch('cpuinfo.get_cpu_info', return_value={'brand_raw': 'Mocked Intel CPU'})
+        mocker.patch('psutil.cpu_count', return_value=12)
+        mocker.patch('psutil.virtual_memory', return_value=MagicMock(total=32 * 1024**3))
+        
+        # Mock pynvml to simulate a detected GPU
+        mock_pynvml = MagicMock()
+        mock_pynvml.nvmlDeviceGetCount.return_value = 1
+        mock_pynvml.nvmlDeviceGetHandleByIndex.return_value = "handle_0"
+        mock_pynvml.nvmlDeviceGetName.return_value = "Mocked NVIDIA GPU"
+        mock_pynvml.nvmlDeviceGetMultiProcessorCount.return_value = 40
+        mocker.patch('baler.modules.green_code.pynvml', mock_pynvml, create=True)
+        mocker.patch('baler.modules.green_code.NVIDIA_SMI_AVAILABLE', True)
+                
+        test_file = tmp_path / "green_code_tracking_test.csv"
+        tracker = GreenCodeTracker(file_path=str(test_file))
+        specs = tracker._get_system_specs()
+        
+        assert specs["CPUmodel"] == "Mocked Intel CPU"
+        assert specs["Number of CPU cores"] == 12
+        assert specs["GPU model"] == "Mocked NVIDIA GPU"
+        assert specs["Number of GPU cores"] == 40
+        assert specs["Memory available (GB)"] == 32.0
+
+    def test_get_system_specs_without_gpu(self, tmp_path, mocker):
+        """Test spec gathering on a mocked system WITHOUT an NVIDIA GPU."""
+        mocker.patch('cpuinfo.get_cpu_info', return_value={'brand_raw': 'Mocked AMD CPU'})
+        mocker.patch('psutil.cpu_count', return_value=4)
+        mocker.patch('psutil.virtual_memory', return_value=MagicMock(total=8 * 1024**3))
+        
+        # Simulate pynvml not being available
+        mocker.patch('baler.modules.green_code.NVIDIA_SMI_AVAILABLE', False)
+
+        test_file = tmp_path / "green_code_tracking_test.csv"
+        tracker = GreenCodeTracker(file_path=str(test_file))
+        specs = tracker._get_system_specs()
+
+        assert specs["GPU model"] == "N/A"
+        assert specs["Number of GPU cores"] == "N/A"
+        assert specs["CPUmodel"] == "Mocked AMD CPU"
\ No newline at end of file
diff --git a/tests/test_helper.py b/tests/test_helper.py
index 44023099..9b1bdc55 100644
--- a/tests/test_helper.py
+++ b/tests/test_helper.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Baler Contributors
+# Copyright 2022-2025 Baler Contributors
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -49,3 +49,11 @@ def test_create_new_project():
 
     # Clean up after the test
     shutil.rmtree(base_path)
+
+def test_helper_setup_tracker(mocker):
+    """Test that the helper function correctly initializes the tracker."""
+    mock_tracker_class = mocker.patch('baler.modules.green_code.GreenCodeTracker')
+    
+    helper.setup_green_tracker()
+    
+    mock_tracker_class.assert_called_once_with()
\ No newline at end of file