From 55b6287bbc5c7963dfecead376cc81df20950a25 Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Thu, 29 Sep 2022 11:53:45 +0100
Subject: [PATCH 01/10] Add a script to manipulate the poetry setup. (#18)

---
 README.md                                     |    4 +-
 poetry.lock                                   |  209 +--
 poetryenv                                     |  149 ++
 poetryenv_requirements.txt                    |    3 +
 poetryenvs/tf_max/poetry.lock                 | 1626 +++++++++++++++++
 poetryenvs/tf_max/pyproject_overrides.toml    |    5 +
 poetryenvs/tf_min/poetry.lock                 | 1527 ++++++++++++++++
 poetryenvs/tf_min/pyproject_overrides.toml    |    4 +
 pylintrc                                      |    2 +
 pyproject.toml                                |   32 +-
 .../test_version.py}                          |    2 +-
 tests/examples/test_check_shapes_examples.py  |    4 +-
 12 files changed, 3433 insertions(+), 134 deletions(-)
 create mode 100755 poetryenv
 create mode 100644 poetryenv_requirements.txt
 create mode 100644 poetryenvs/tf_max/poetry.lock
 create mode 100644 poetryenvs/tf_max/pyproject_overrides.toml
 create mode 100644 poetryenvs/tf_min/poetry.lock
 create mode 100644 poetryenvs/tf_min/pyproject_overrides.toml
 rename tests/{test_check_shapes.py => check_shapes/test_version.py} (92%)

diff --git a/README.md b/README.md
index 4df17b42..3e744551 100644
--- a/README.md
+++ b/README.md
@@ -48,4 +48,6 @@ To check you installation run our tests:
 
 ```bash
 poetry run task test
-```
\ No newline at end of file
+```
+
+For testing with different versions of Python and dependencies, see the `poetryenv` script.
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 20a3c3be..326ef5ac 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -167,7 +167,7 @@ python-versions = "*"
 
 [[package]]
 name = "flatbuffers"
-version = "2.0.7"
+version = "22.9.24"
 description = "The FlatBuffers serialization format for Python"
 category = "main"
 optional = false
@@ -183,7 +183,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "google-auth"
-version = "2.11.1"
+version = "2.12.0"
 description = "Google Authentication Library"
 category = "main"
 optional = false
@@ -277,6 +277,14 @@ docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"]
 perf = ["ipython"]
 testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
 
+[[package]]
+name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "isort"
 version = "5.10.1"
@@ -375,14 +383,6 @@ category = "dev"
 optional = false
 python-versions = ">=3.6"
 
-[[package]]
-name = "more-itertools"
-version = "8.14.0"
-description = "More routines for operating on iterables, beyond itertools"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
 [[package]]
 name = "mslex"
 version = "0.3.0"
@@ -393,21 +393,22 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "mypy"
-version = "0.910"
+version = "0.981"
 description = "Optional static typing for Python"
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
 
 [package.dependencies]
-mypy-extensions = ">=0.4.3,<0.5.0"
-toml = "*"
-typed-ast = {version = ">=1.4.0,<1.5.0", markers = "python_version < \"3.8\""}
-typing-extensions = ">=3.7.4"
+mypy-extensions = ">=0.4.3"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typed-ast = {version = ">=1.4.0,<2", markers = "python_version < \"3.8\""}
+typing-extensions = ">=3.10"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
-python2 = ["typed-ast (>=1.4.0,<1.5.0)"]
+python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
 
 [[package]]
 name = "mypy-extensions"
@@ -486,17 +487,18 @@ test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytes
 
 [[package]]
 name = "pluggy"
-version = "0.13.1"
+version = "1.0.0"
 description = "plugin and hook calling mechanisms for python"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 
 [package.extras]
-dev = ["pre-commit", "tox"]
+testing = ["pytest-benchmark", "pytest"]
+dev = ["tox", "pre-commit"]
 
 [[package]]
 name = "protobuf"
@@ -578,25 +580,24 @@ diagrams = ["railroad-diagrams", "jinja2"]
 
 [[package]]
 name = "pytest"
-version = "5.4.3"
+version = "6.2.5"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 
 [package.dependencies]
 atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
-attrs = ">=17.4.0"
+attrs = ">=19.2.0"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
-more-itertools = ">=4.0.0"
+iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<1.0"
-py = ">=1.5.0"
-wcwidth = "*"
+pluggy = ">=0.12,<2.0"
+py = ">=1.8.2"
+toml = "*"
 
 [package.extras]
-checkqa-mypy = ["mypy (==v0.761)"]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
 [[package]]
@@ -675,7 +676,7 @@ tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version >= \"3.7\" and py
 
 [[package]]
 name = "tensorboard"
-version = "2.10.0"
+version = "2.10.1"
 description = "TensorBoard lets you watch Tensors Flow"
 category = "main"
 optional = false
@@ -814,7 +815,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "tomlkit"
-version = "0.11.4"
+version = "0.11.5"
 description = "Style preserving TOML library"
 category = "dev"
 optional = false
@@ -822,11 +823,11 @@ python-versions = ">=3.6,<4.0"
 
 [[package]]
 name = "typed-ast"
-version = "1.4.3"
+version = "1.5.4"
 description = "a fork of Python 2 and 3 ast modules with type comment support"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
@@ -849,14 +850,6 @@ brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
-[[package]]
-name = "wcwidth"
-version = "0.2.5"
-description = "Measures the displayed width of unicode strings in a terminal"
-category = "dev"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "werkzeug"
 version = "2.2.2"
@@ -894,7 +887,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "3a08bb8c15ab06d194cffad36f3a69453654593b9722adf8365ee8025b64404a"
+content-hash = "44c069b48a5b2f0642a99975cbc8853ad9f5cb7be5036a16d6439dea3eb18d7b"
 
 [metadata.files]
 absl-py = [
@@ -980,16 +973,15 @@ dm-tree = [
     {file = "dm_tree-0.1.7-cp39-cp39-win_amd64.whl", hash = "sha256:3ca0a58e219b7b0bc201fea4679971188d0a9028a2543c16803a84e8f8c7eb2c"},
 ]
 flatbuffers = [
-    {file = "flatbuffers-2.0.7-py2.py3-none-any.whl", hash = "sha256:71e135d533be527192819aaab757c5e3d109cb10fbb01e687f6bdb7a61ad39d1"},
-    {file = "flatbuffers-2.0.7.tar.gz", hash = "sha256:0ae7d69c5b82bf41962ca5fde9cc43033bc9501311d975fd5a25e8a7d29c1245"},
+    {file = "flatbuffers-22.9.24-py2.py3-none-any.whl", hash = "sha256:fc30f024e2eee55922d610f4d68626002fcd3c8f87d8058ec5ae9edd86993bcb"},
 ]
 gast = [
     {file = "gast-0.4.0-py3-none-any.whl", hash = "sha256:b7adcdd5adbebf1adf17378da5ba3f543684dbec47b1cda1f3997e573cd542c4"},
     {file = "gast-0.4.0.tar.gz", hash = "sha256:40feb7b8b8434785585ab224d1568b857edb18297e5a3047f1ba012bc83b42c1"},
 ]
 google-auth = [
-    {file = "google-auth-2.11.1.tar.gz", hash = "sha256:516e6623038b81430dd062a1a25ecd24f173d7c15cdf4e48a9e78bc87e97aeec"},
-    {file = "google_auth-2.11.1-py2.py3-none-any.whl", hash = "sha256:53bdc0c2b4e25895575779caef4cfb3a6bdff1b7b32dc38a654d71aba35bb5f8"},
+    {file = "google-auth-2.12.0.tar.gz", hash = "sha256:f12d86502ce0f2c0174e2e70ecc8d36c69593817e67e1d9c5e34489120422e4b"},
+    {file = "google_auth-2.12.0-py2.py3-none-any.whl", hash = "sha256:98f601773978c969e1769f97265e732a81a8e598da3263895023958d456ee625"},
 ]
 google-auth-oauthlib = [
     {file = "google-auth-oauthlib-0.4.6.tar.gz", hash = "sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"},
@@ -1077,6 +1069,10 @@ importlib-metadata = [
     {file = "importlib_metadata-4.12.0-py3-none-any.whl", hash = "sha256:7401a975809ea1fdc658c3aa4f78cc2195a0e019c5cbc4c06122884e9ae80c23"},
     {file = "importlib_metadata-4.12.0.tar.gz", hash = "sha256:637245b8bab2b6502fcbc752cc4b7a6f6243bb02b31c5c26156ad103d3d45670"},
 ]
+iniconfig = [
+    {file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
+    {file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
+]
 isort = [
     {file = "isort-5.10.1-py3-none-any.whl", hash = "sha256:6f62d78e2f89b4500b080fe3a81690850cd254227f27f75c3a0c491a1f351ba7"},
     {file = "isort-5.10.1.tar.gz", hash = "sha256:e8443a5e7a020e9d7f97f1d7d9cd17c88bcb3bc7e218bf9cf5095fe550be2951"},
@@ -1193,38 +1189,35 @@ mccabe = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
 ]
-more-itertools = [
-    {file = "more-itertools-8.14.0.tar.gz", hash = "sha256:c09443cd3d5438b8dafccd867a6bc1cb0894389e90cb53d227456b0b0bccb750"},
-    {file = "more_itertools-8.14.0-py3-none-any.whl", hash = "sha256:1bc4f91ee5b1b31ac7ceacc17c09befe6a40a503907baf9c839c229b5095cfd2"},
-]
 mslex = [
     {file = "mslex-0.3.0-py2.py3-none-any.whl", hash = "sha256:380cb14abf8fabf40e56df5c8b21a6d533dc5cbdcfe42406bbf08dda8f42e42a"},
     {file = "mslex-0.3.0.tar.gz", hash = "sha256:4a1ac3f25025cad78ad2fe499dd16d42759f7a3801645399cce5c404415daa97"},
 ]
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+    {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
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@@ -1610,10 +1597,6 @@ urllib3 = [
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 ]
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-]
 werkzeug = [
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diff --git a/poetryenv b/poetryenv
new file mode 100755
index 00000000..87fe4376
--- /dev/null
+++ b/poetryenv
@@ -0,0 +1,149 @@
+#!/usr/bin/env python3
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+"""
+Tool for running Poetry with different environments.
+
+An environment is defined by a directory containing a file called `pyproject_overrides.toml`.
+This script will replace values in `pyproject.toml` with any values found in
+`pyproject_overrides.toml`, and manage the resulting `poetry.lock` files and virtual environments.
+
+Usage::
+
+    ./poetryenv <my_environment> <my_poetry_command>
+
+Some concrete examples::
+
+    ./poetryenv poetryenvs/tf_min/ update
+    ./poetryenv poetryenvs/tf_min/ run task test
+"""
+import argparse
+import subprocess
+import sys
+from contextlib import ExitStack, contextmanager
+from pathlib import Path
+from typing import Iterator, List
+
+import tomlkit
+
+_ROOT_DIR = Path(__file__).parent
+_BACKUP_DIR = _ROOT_DIR / "poetryenv_backup"
+_PYPROJECT_TOML = _ROOT_DIR / "pyproject.toml"
+_BACKUP_PYPROJECT_TOML = _BACKUP_DIR / _PYPROJECT_TOML.name
+_POETRY_LOCK = _ROOT_DIR / "poetry.lock"
+_VENV_DIR = _ROOT_DIR / ".venv"
+
+
+@contextmanager
+def _backup_dir() -> Iterator[None]:
+    _BACKUP_DIR.mkdir()
+    try:
+        yield
+    finally:
+        _BACKUP_DIR.rmdir()
+
+
+@contextmanager
+def _shuffle(root: Path, env_dir: Path, derived: bool) -> Iterator[None]:
+    """
+    Shuffles files between the root dir, backup dir and environment dir.
+
+    1: Move the root file to the backup dir.
+    2: Move the corresponding file from the environment dir to the root.
+    3: Yield to allow processing of the environment file.
+    4: Move the environment file back to the environment dir.
+    5: Move the root file back to the root dir.
+
+    `derived` indicates whether the file is something Poetry produces.
+    If `derived` is `True` the files are allowed to be missing (Poetry might not have produced them
+    yet). Otherwise the files must exist.
+    If `derived` is `False` the file is not moved to- / from the backup directory, but is assumed to
+    be produced in another way.
+    """
+    backup_path = _BACKUP_DIR / root.name
+    env_path = env_dir / root.name
+
+    if derived:
+        if root.exists():
+            root.rename(backup_path)
+        if env_path.exists():
+            env_path.rename(root)
+    else:
+        root.rename(backup_path)
+
+    try:
+        yield
+    finally:
+        if derived:
+            if root.exists():
+                root.replace(env_path)
+            if backup_path.exists():
+                backup_path.replace(root)
+        else:
+            backup_path.replace(root)
+
+
+def _read_toml(path: Path) -> tomlkit.TOMLDocument:
+    with open(path, "rt", encoding="utf-8") as f:
+        return tomlkit.load(f)
+
+
+def _write_toml(data: tomlkit.TOMLDocument, path: Path) -> None:
+    with open(path, "wt", encoding="utf-8") as f:
+        tomlkit.dump(data, f)
+
+
+def _override_toml(root: tomlkit.TOMLDocument, overrides: tomlkit.TOMLDocument) -> None:
+    for key, override_value in overrides.items():
+        if (key in root) and (hasattr(root[key], "items")):
+            _override_toml(root[key], override_value)
+        else:
+            root[key] = override_value
+
+
+def _update_pyproject_toml(overrides_path: Path) -> None:
+    pyproject = _read_toml(_BACKUP_PYPROJECT_TOML)
+    overrides = _read_toml(overrides_path)
+    _override_toml(pyproject, overrides)
+    _write_toml(pyproject, _PYPROJECT_TOML)
+
+
+def poetryenv(env_dir: Path, poetry_args: List[str]) -> int:
+    assert _PYPROJECT_TOML.is_file()
+    assert env_dir.is_dir()
+
+    with ExitStack() as stack:
+        stack.enter_context(_backup_dir())
+        stack.enter_context(_shuffle(_PYPROJECT_TOML, env_dir, derived=False))
+        stack.enter_context(_shuffle(_POETRY_LOCK, env_dir, derived=True))
+        stack.enter_context(_shuffle(_VENV_DIR, env_dir, derived=True))
+
+        env_pyproject_overrides_toml = env_dir / "pyproject_overrides.toml"
+        _update_pyproject_toml(env_pyproject_overrides_toml)
+
+        command = " ".join(["poetry"] + poetry_args)
+        returncode = subprocess.run(command, shell=True, check=False).returncode
+    return returncode
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Run poetry under alternative environments")
+    parser.add_argument("env_dir", type=Path, help="Directory containing the environment to use.")
+    parser.add_argument("poetry_args", nargs=argparse.REMAINDER, help="Command to pass to poetry.")
+    args = parser.parse_args()
+    sys.exit(poetryenv(args.env_dir, args.poetry_args))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/poetryenv_requirements.txt b/poetryenv_requirements.txt
new file mode 100644
index 00000000..589c5079
--- /dev/null
+++ b/poetryenv_requirements.txt
@@ -0,0 +1,3 @@
+# Requirements needed by poetryenv
+# We need to define these outside pyproject.toml, or we get a chicken-and-egg problem.
+tomlkit
diff --git a/poetryenvs/tf_max/poetry.lock b/poetryenvs/tf_max/poetry.lock
new file mode 100644
index 00000000..a4729e63
--- /dev/null
+++ b/poetryenvs/tf_max/poetry.lock
@@ -0,0 +1,1626 @@
+[[package]]
+name = "absl-py"
+version = "1.2.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "astroid"
+version = "2.12.10"
+description = "An abstract syntax tree for Python with inference support."
+category = "dev"
+optional = false
+python-versions = ">=3.7.2"
+
+[package.dependencies]
+lazy-object-proxy = ">=1.4.0"
+wrapt = {version = ">=1.11,<2", markers = "python_version < \"3.11\""}
+
+[[package]]
+name = "astunparse"
+version = "1.6.3"
+description = "An AST unparser for Python"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = ">=1.6.1,<2.0"
+
+[[package]]
+name = "atomicwrites"
+version = "1.4.1"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "attrs"
+version = "22.1.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
+
+[[package]]
+name = "black"
+version = "20.8b1"
+description = "The uncompromising code formatter."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+appdirs = "*"
+click = ">=7.1.2"
+mypy-extensions = ">=0.4.3"
+pathspec = ">=0.6,<1"
+regex = ">=2020.1.8"
+toml = ">=0.10.1"
+typed-ast = ">=1.4.0"
+typing-extensions = ">=3.7.4"
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
+
+[[package]]
+name = "cachetools"
+version = "5.2.0"
+description = "Extensible memoizing collections and decorators"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+
+[[package]]
+name = "certifi"
+version = "2022.9.24"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "charset-normalizer"
+version = "2.1.1"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "main"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
+
+[[package]]
+name = "click"
+version = "8.0.4"
+description = "Composable command line interface toolkit"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "cloudpickle"
+version = "2.2.0"
+description = "Extended pickling support for Python objects"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "colorama"
+version = "0.4.5"
+description = "Cross-platform colored terminal text."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "dill"
+version = "0.3.5.1"
+description = "serialize all of python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
+[[package]]
+name = "dm-tree"
+version = "0.1.7"
+description = "Tree is a library for working with nested data structures."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "flatbuffers"
+version = "22.9.24"
+description = "The FlatBuffers serialization format for Python"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "gast"
+version = "0.4.0"
+description = "Python AST that abstracts the underlying Python version"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "google-auth"
+version = "2.12.0"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
+
+[package.dependencies]
+cachetools = ">=2.0.0,<6.0"
+pyasn1-modules = ">=0.2.1"
+rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
+six = ">=1.9.0"
+
+[package.extras]
+aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"]
+enterprise_cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
+pyopenssl = ["pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+
+[[package]]
+name = "google-auth-oauthlib"
+version = "0.4.6"
+description = "Google Authentication Library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+google-auth = ">=1.0.0"
+requests-oauthlib = ">=0.7.0"
+
+[package.extras]
+tool = ["click (>=6.0.0)"]
+
+[[package]]
+name = "google-pasta"
+version = "0.2.0"
+description = "pasta is an AST-based Python refactoring library"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[[package]]
+name = "grpcio"
+version = "1.49.1"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+six = ">=1.5.2"
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.49.1)"]
+
+[[package]]
+name = "h5py"
+version = "3.7.0"
+description = "Read and write HDF5 files from Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.14.5"
+
+[[package]]
+name = "idna"
+version = "3.4"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "isort"
+version = "5.10.1"
+description = "A Python utility / library to sort Python imports."
+category = "dev"
+optional = false
+python-versions = ">=3.6.1,<4.0"
+
+[package.extras]
+pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
+requirements_deprecated_finder = ["pipreqs", "pip-api"]
+colors = ["colorama (>=0.4.3,<0.5.0)"]
+plugins = ["setuptools"]
+
+[[package]]
+name = "keras"
+version = "2.10.0"
+description = "Deep learning for humans."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "keras-preprocessing"
+version = "1.1.2"
+description = "Easy data preprocessing and data augmentation for deep learning models"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+numpy = ">=1.9.1"
+six = ">=1.9.0"
+
+[package.extras]
+tests = ["pytest-cov", "pytest-xdist", "pytest", "keras", "tensorflow", "pillow", "pandas"]
+pep8 = ["flake8"]
+image = ["Pillow (>=5.2.0)", "scipy (>=0.14)"]
+
+[[package]]
+name = "lark"
+version = "1.1.2"
+description = "a modern parsing library"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.extras]
+regex = ["regex"]
+nearley = ["js2py"]
+atomic_cache = ["atomicwrites"]
+
+[[package]]
+name = "lazy-object-proxy"
+version = "1.7.1"
+description = "A fast and thorough lazy object proxy."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "libclang"
+version = "14.0.6"
+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."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "markdown"
+version = "3.4.1"
+description = "Python implementation of Markdown."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+testing = ["coverage", "pyyaml"]
+
+[[package]]
+name = "markupsafe"
+version = "2.1.1"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "mccabe"
+version = "0.7.0"
+description = "McCabe checker, plugin for flake8"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "mslex"
+version = "0.3.0"
+description = "shlex for windows"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "mypy"
+version = "0.981"
+description = "Optional static typing for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+mypy-extensions = ">=0.4.3"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = ">=3.10"
+
+[package.extras]
+dmypy = ["psutil (>=4.0)"]
+python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
+
+[[package]]
+name = "mypy-extensions"
+version = "0.4.3"
+description = "Experimental type system extensions for programs checked with the mypy typechecker."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "numpy"
+version = "1.21.6"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
+optional = false
+python-versions = ">=3.7,<3.11"
+
+[[package]]
+name = "oauthlib"
+version = "3.2.1"
+description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+rsa = ["cryptography (>=3.0.0)"]
+signals = ["blinker (>=1.4.0)"]
+signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
+
+[[package]]
+name = "opt-einsum"
+version = "3.3.0"
+description = "Optimizing numpys einsum function"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+numpy = ">=1.7"
+
+[package.extras]
+docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
+tests = ["pytest", "pytest-cov", "pytest-pep8"]
+
+[[package]]
+name = "packaging"
+version = "21.3"
+description = "Core utilities for Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
+
+[[package]]
+name = "pathspec"
+version = "0.10.1"
+description = "Utility library for gitignore style pattern matching of file paths."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "platformdirs"
+version = "2.5.2"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"]
+test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"]
+
+[[package]]
+name = "pluggy"
+version = "1.0.0"
+description = "plugin and hook calling mechanisms for python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+testing = ["pytest-benchmark", "pytest"]
+dev = ["tox", "pre-commit"]
+
+[[package]]
+name = "protobuf"
+version = "3.19.5"
+description = "Protocol Buffers"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "psutil"
+version = "5.9.2"
+description = "Cross-platform lib for process and system monitoring in Python."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"]
+
+[[package]]
+name = "py"
+version = "1.11.0"
+description = "library with cross-python path, ini-parsing, io, code, log facilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "pyasn1"
+version = "0.4.8"
+description = "ASN.1 types and codecs"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyasn1-modules"
+version = "0.2.8"
+description = "A collection of ASN.1-based protocols modules."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+pyasn1 = ">=0.4.6,<0.5.0"
+
+[[package]]
+name = "pylint"
+version = "2.15.3"
+description = "python code static checker"
+category = "dev"
+optional = false
+python-versions = ">=3.7.2"
+
+[package.dependencies]
+astroid = ">=2.12.10,<=2.14.0-dev0"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+dill = ">=0.2"
+isort = ">=4.2.5,<6"
+mccabe = ">=0.6,<0.8"
+platformdirs = ">=2.2.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+tomlkit = ">=0.10.1"
+
+[package.extras]
+spelling = ["pyenchant (>=3.2,<4.0)"]
+testutils = ["gitpython (>3)"]
+
+[[package]]
+name = "pyparsing"
+version = "3.0.9"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+category = "main"
+optional = false
+python-versions = ">=3.6.8"
+
+[package.extras]
+diagrams = ["railroad-diagrams", "jinja2"]
+
+[[package]]
+name = "pytest"
+version = "6.2.5"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+attrs = ">=19.2.0"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+py = ">=1.8.2"
+toml = "*"
+
+[package.extras]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+
+[[package]]
+name = "regex"
+version = "2022.9.13"
+description = "Alternative regular expression module, to replace re."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "requests"
+version = "2.28.1"
+description = "Python HTTP for Humans."
+category = "main"
+optional = false
+python-versions = ">=3.7, <4"
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<3"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<1.27"
+
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+    {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
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diff --git a/poetryenvs/tf_max/pyproject_overrides.toml b/poetryenvs/tf_max/pyproject_overrides.toml
new file mode 100644
index 00000000..5a081526
--- /dev/null
+++ b/poetryenvs/tf_max/pyproject_overrides.toml
@@ -0,0 +1,5 @@
+[tool.poetry.dependencies]
+python = "3.10.*"
+tensorflow = "2.10.*"
+tensorflow-probability = "0.18.*"
+numpy = "1.21.*"  # Newer versions create backwards compatibility problems...
diff --git a/poetryenvs/tf_min/poetry.lock b/poetryenvs/tf_min/poetry.lock
new file mode 100644
index 00000000..28a37cc4
--- /dev/null
+++ b/poetryenvs/tf_min/poetry.lock
@@ -0,0 +1,1527 @@
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+
+[package.dependencies]
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+
+[[package]]
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+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
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+[package.dependencies]
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+
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+[package.dependencies]
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+[package.extras]
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+]
diff --git a/poetryenvs/tf_min/pyproject_overrides.toml b/poetryenvs/tf_min/pyproject_overrides.toml
new file mode 100644
index 00000000..21fbf8ba
--- /dev/null
+++ b/poetryenvs/tf_min/pyproject_overrides.toml
@@ -0,0 +1,4 @@
+[tool.poetry.dependencies]
+python = "3.7.*"
+tensorflow = "2.4.*"
+tensorflow-probability = "0.12.*"
diff --git a/pylintrc b/pylintrc
index b3c862a8..2e4bc6bf 100644
--- a/pylintrc
+++ b/pylintrc
@@ -74,11 +74,13 @@ disable=comparison-with-callable,
         fixme,
         global-statement,
         invalid-name,
+        misplaced-comparison-constant,
         missing-class-docstring,
         missing-function-docstring,
         missing-module-docstring,
         no-else-return,
         no-member,
+        no-self-use,
         no-value-for-parameter,
         too-few-public-methods,
         too-many-arguments,
diff --git a/pyproject.toml b/pyproject.toml
index e268a39c..9260122e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,21 +34,15 @@ classifiers = [
 python = ">=3.7,<3.11"
 tensorflow = "^2.4.0"
 tensorflow-probability = ">=0.12.0"
-# python = "~3.9"
-# tensorflow = "~2.9"
-# tensorflow-probability = "~0.17"
-# python = "~3.7"
-# tensorflow = "~2.4"
-# tensorflow-probability = "~0.12"
 lark = "^1.1.0"
 
 [tool.poetry.dev-dependencies]
-black = "^20.8b1"
-click = "<8.1.0"  # Unneeded - exists to manage dependencies.
+black = "20.8b1"  # Pinned for backwards compatibility with the old stuff.
+click = "<8.1.0"  # Required by `black = "20.8b1"`.
 isort = "^5.10.0"
-mypy = "^0.910"
-pylint = "^2.13.0"
-pytest = "^5.4.0"
+mypy = ">0.920"
+pylint = "^2.10.0"
+pytest = "^6.0.0"
 taskipy = "^1.10.0"
 tomlkit = "^0.11.4"
 
@@ -70,6 +64,7 @@ show_error_codes = true
 # First we turn on *all the checks*, and then we turn off those that are too annoying.
 strict = true
 disallow_untyped_decorators = false
+disable_error_code = "no-untyped-call"
 # This is needed because version 1.20.0 of NumPy introduces typing, so some ignores are necessary /
 # unnecessary depending on the version of numpy:
 warn_unused_ignores = false
@@ -80,6 +75,7 @@ module = [
     "tensorflow_probability.*",
     "pytest.*",
     "_pytest.*",
+    "numpy.*",  # Newer version of numpy does have stubs. We can get rid of this in the future.
 ]
 ignore_missing_imports = true
 
@@ -87,31 +83,31 @@ ignore_missing_imports = true
 [tool.taskipy.tasks]
 isort = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX isort XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    isort check_shapes tests
+    isort poetryenv check_shapes tests
 """
 isort_check = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX isort XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    isort --check-only check_shapes tests
+    isort --check-only poetryenv check_shapes tests
 """
 black = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX black XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    black check_shapes tests
+    black poetryenv check_shapes tests
 """
 black_check = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX black XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    black --check check_shapes tests
+    black --check poetryenv check_shapes tests
 """
 mypy = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX mypy XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    mypy $(python -m check_shapes.mypy_flags) check_shapes tests
+    mypy $(python -m check_shapes.mypy_flags) poetryenv check_shapes tests
 """
 pylint = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX pylint XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    pylint check_shapes tests
+    pylint poetryenv check_shapes tests
 """
 pytest = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX pytest XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    pytest check_shapes tests
+    pytest tests
 """
 
 format = "task isort && task black"
diff --git a/tests/test_check_shapes.py b/tests/check_shapes/test_version.py
similarity index 92%
rename from tests/test_check_shapes.py
rename to tests/check_shapes/test_version.py
index 7bbf17b2..5459f8e5 100644
--- a/tests/test_check_shapes.py
+++ b/tests/check_shapes/test_version.py
@@ -17,7 +17,7 @@
 
 import check_shapes
 
-_PYPROJECT_PATH = Path(__file__).parent.parent / "pyproject.toml"
+_PYPROJECT_PATH = Path(__file__).parent.parent.parent / "pyproject.toml"
 
 
 def test_version() -> None:
diff --git a/tests/examples/test_check_shapes_examples.py b/tests/examples/test_check_shapes_examples.py
index 6de1e04d..6b7ac427 100644
--- a/tests/examples/test_check_shapes_examples.py
+++ b/tests/examples/test_check_shapes_examples.py
@@ -11,6 +11,8 @@
 # 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.
+
+# type: ignore[no-any-return]
 """
 Code examples used in `check_shapes` docstrings.
 """
@@ -683,7 +685,7 @@ def test_example__intermediate_results() -> None:
         "return: []",
     )
     def loss(weights: AnyNDArray, test_features: AnyNDArray, test_labels: AnyNDArray) -> AnyNDArray:
-        prediction = check_shape(test_features @ weights, "[n_rows, n_labels]")
+        prediction: AnyNDArray = check_shape(test_features @ weights, "[n_rows, n_labels]")
         error: AnyNDArray = check_shape(prediction - test_labels, "[n_rows, n_labels]")
         square_error = check_shape(error ** 2, "[n_rows, n_labels]")
         mean_square_error = check_shape(np.mean(square_error, axis=-1), "[n_rows]")

From a753cc2278f88f69b7ca28d4d1b1f0e5cf244a23 Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Thu, 29 Sep 2022 13:41:38 +0100
Subject: [PATCH 02/10] Fix bug related to `tf.saved_model` and methods wrapped
 in `check_shapes`. (#20)

---
 check_shapes/decorator.py              | 12 ++++++++-
 tests/check_shapes/test_integration.py | 36 ++++++++++++++++++++++++++
 2 files changed, 47 insertions(+), 1 deletion(-)

diff --git a/check_shapes/decorator.py b/check_shapes/decorator.py
index 36c91093..138d30aa 100644
--- a/check_shapes/decorator.py
+++ b/check_shapes/decorator.py
@@ -81,7 +81,7 @@ def _check_shapes(func: C) -> C:
         bound_error_context = FunctionDefinitionContext(func)
         signature = inspect.signature(func)
 
-        def wrapped(*args: Any, **kwargs: Any) -> Any:
+        def wrapped_function(*args: Any, **kwargs: Any) -> Any:
             if not get_enable_check_shapes():
                 return func(*args, **kwargs)
 
@@ -155,6 +155,16 @@ def _check_specs(specs: Sequence[ParsedArgumentSpec]) -> None:
 
             return result
 
+        # Work-around for TensorFlow saved_model expecting methods to have a `self` argument:
+        if "self" in signature.parameters:
+
+            def wrapped_method(self: Any, *args: Any, **kwargs: Any) -> Any:
+                return wrapped_function(self, *args, **kwargs)
+
+            wrapped = wrapped_method
+        else:
+            wrapped = wrapped_function
+
         # Make TensorFlow understand our decoration:
         if tf_decorator:
             tf.compat.v1.flags.tf_decorator.make_decorator(func, wrapped)
diff --git a/tests/check_shapes/test_integration.py b/tests/check_shapes/test_integration.py
index 2b6c60e7..2e1237ec 100644
--- a/tests/check_shapes/test_integration.py
+++ b/tests/check_shapes/test_integration.py
@@ -15,6 +15,7 @@
 # pylint: disable=unused-argument  # Bunch of fake functions below has unused arguments.
 # pylint: disable=no-member  # PyLint struggles with TensorFlow.
 
+from pathlib import Path
 from time import perf_counter
 from typing import Any, Callable, Optional
 
@@ -344,3 +345,38 @@ def f_tf_cond(x: tf.Tensor) -> tf.Tensor:
     x = tf.constant(7.0)
     f_tf_cond(x)
     f_if(x)
+
+
+@pytest.mark.parametrize("model_type", ["SuperModel", "SubModel"])
+def test_tf_saved_model(model_type: str, tmp_path: Path) -> None:
+    class SuperModel:
+        @check_shapes(
+            "x: [any...]",
+            "return: [any...]",
+        )
+        def f(self, x: tf.Tensor) -> tf.Tensor:
+            return x
+
+    class SubModel(SuperModel):
+        @inherit_check_shapes
+        def f(self, x: tf.Tensor) -> tf.Tensor:
+            return x + 1
+
+    x = np.arange(5)
+    model = {
+        "SuperModel": SuperModel,
+        "SubModel": SubModel,
+    }[model_type]()
+    out_module = tf.Module()
+    out_module.f = tf.function(
+        model.f,
+        input_signature=[tf.TensorSpec(shape=[None], dtype=tf.float64)],
+    )
+    tf.saved_model.save(out_module, str(tmp_path))
+
+    in_module = tf.saved_model.load(str(tmp_path))
+
+    np.testing.assert_allclose(
+        model.f(x),
+        in_module.f(x),
+    )

From 3f9ad59cb3aa0e1393abba6e50df2112ae2e75d6 Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Fri, 30 Sep 2022 09:05:27 +0100
Subject: [PATCH 03/10] Add initial bureaucracy. (#21)

---
 CITATION.cff     | 16 +++++++++++
 CONTRIBUTING.md  | 46 +++++++++++++++++++++++++++++
 CONTRIBUTORS.md  |  7 +++++
 HOWTO_RELEASE.md | 31 ++++++++++++++++++++
 RELEASE.md       | 75 ++++++++++++++++++++++++++++++++++++++++++++++++
 5 files changed, 175 insertions(+)
 create mode 100644 CITATION.cff
 create mode 100644 CONTRIBUTING.md
 create mode 100644 CONTRIBUTORS.md
 create mode 100644 HOWTO_RELEASE.md
 create mode 100644 RELEASE.md

diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
index 00000000..1e641461
--- /dev/null
+++ b/CITATION.cff
@@ -0,0 +1,16 @@
+cff-version: 1.2.0
+title: check_shapes
+message: >-
+  If you use this software, please cite it using the
+  metadata from this file.
+type: software
+authors:
+  - given-names: Jesper
+    family-names: Nielsen
+    email: jespernielsen1982+check_shapes@gmail.com
+    affiliation: Secondmind
+repository-code: 'https://github.com/GPflow/check_shapes'
+abstract: >-
+  A library for annotating and checking tensor
+  shapes.
+license: Apache-2.0
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 00000000..6de83e04
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,46 @@
+# Contributing to `check_shapes`
+
+This file contains notes for potential contributors to `check_shapes`, as well as some notes that may be helpful for maintenance.
+
+## Project scope
+
+The aim of `check_shapes` is to annotate and check the shapes of tensors. There are many other pre- and post conditions one could check, but to keep the scope reasonable we will limit ourselves to tensor shapes.
+
+We welcome contributions to `check_shapes`. If you would like to contribute a feature, please raise discussion via a GitHub issue, to discuss the suitability of the feature within `check_shapes`. If the feature is outside the envisaged scope, we can still link to a separate project in our Readme.
+
+### I have this big feature/extension I would like to add...
+
+Due to limited scope we may not be able to review and merge every feature, however useful it may be. Particularly large contributions or changes to core code are harder to justify against the scope of the project or future development plans. We recommend discussing a possible contribution in an issue before work begins. This should give an indication to how broadly it is supported to bring it into the codebase.
+
+## Code quality requirements
+
+- Code must be covered by tests. We use the [pytest](https://docs.pytest.org/) framework.
+- The code must be documented. We use *reST* in docstrings. *reST* is a [standard way of documenting](http://docs.python-guide.org/en/latest/writing/documentation/) in python.
+  Missing documentation leads to ambiguities and difficulties in understanding future contributions and use cases.
+- Use [type annotations](https://docs.python.org/3/library/typing.html). Type hints make code cleaner and _safer_ to some extent.
+- Python code should generally follow the *PEP8* style. We use some custom naming conventions (see below) to have our notation follow the Gaussian process literature. Use `pylint` and `mypy` for formatting and _type checking_.
+- Practise writing good code as far as is reasonable. Simpler is usually better. Reading the existing codebase should give a good idea of the expected style.
+- `check_shapes` uses [black](https://github.com/psf/black) and [isort](https://pycqa.github.io/isort/) for formatting.
+- You can use `poetry run task format_and_test` to check that your code follows the above requirements.
+
+## Pull requests
+
+If you think that your contribution falls within the project scope (see above) please submit a Pull Request (PR) to our GitHub page.
+(GitHub provides extensive documentation on [forking](https://help.github.com/en/github/getting-started-with-github/fork-a-repo) and [pull requests](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/about-pull-requests).)
+
+In order to maintain code quality, and make life easy for the reviewers, please ensure that your PR:
+
+- Only fixes one issue or adds one feature.
+- Makes the minimal amount of changes to the existing codebase.
+- Is testing its changes.
+- Passes all checks (formatting, types, tests - you can run them all locally using `poetry run task test` from the `check_shapes` root directory).
+
+All code goes through a PR; there are no direct commits to the `main` and `develop` branches.
+
+## Version numbering
+
+The main purpose of versioning `check_shapes` is user convenience.
+
+We use the [semantic versioning scheme](https://semver.org/). The semver implies `MAJOR.MINOR.PATCH` version scheme, where `MAJOR` changes when there are incompatibilities in API, `MINOR` means adding functionality without breaking existing API and `PATCH` presumes the code update has backward compatible bug fixes.
+
+When incrementing the version number, this has to be reflected in `./pyproject.toml`.
\ No newline at end of file
diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md
new file mode 100644
index 00000000..f37eb582
--- /dev/null
+++ b/CONTRIBUTORS.md
@@ -0,0 +1,7 @@
+# List of contributors to `check_shapes`
+
+Because GitHub's [graph of contributors](http://github.com/GPflow/GPflow/graphs/contributors) does not necessarily include all contributors, this file contains a list of all contributors, added by date of first contribution.
+
+[@jesnie](https://github.com/jesnie)
+
+Add yourself when you first contribute to `check_shapes`'s code, tests, or documentation!
diff --git a/HOWTO_RELEASE.md b/HOWTO_RELEASE.md
new file mode 100644
index 00000000..1a9b8d9e
--- /dev/null
+++ b/HOWTO_RELEASE.md
@@ -0,0 +1,31 @@
+# How to make a new `check_shapes` release
+
+1. Check that [RELEASE.md](https://github.com/GPflow/check_shapes/blob/develop/RELEASE.md) contains
+   the up-to-date release notes for the next release.
+   - They should cover all changes, that are visible to library userso on the `develop` branch since
+     the most recent release.
+   - They should make clear to users whether they might benefit from this release and what backwards
+     incompatibilities they might face.
+
+2. Bump the version numbers in the `develop` branch, in the
+   [`pyproject.toml`](https://github.com/GPflow/check_shapes/blob/develop/pyproject.toml) file.
+   Copy the RELEASE.md template for the following release-in-progress.
+
+3. Create a release PR from `develop` to `master`.
+   - **Make a merge commit. DO NOT SQUASH-MERGE.**
+   - If you squash-merge, `master` will be *ahead* of develop (by the squash-merge commit). This
+     means we’ll end up with merge conflicts at the following release!
+
+4. Go to the [release page on GitHub](https://github.com/GPflow/check_shapes/releases/new) and
+   create a release for a tag “v{VERSION}” (e.g., for version 2.1.3 the tag needs to be `v2.1.3`) to
+   `main` branch. Copy the release notes into the description field!
+
+5. You are almost done now! Go to https://github.com/GPflow/check_shapes/actions and monitor the
+   tests for your newly-created release passed and the job for pushing the pip package succeeded.
+   GitHub Actions are triggered by the publication of the release above.
+
+6. Take a break; wait until the new release
+   [shows up on PyPi](https://pypi.org/project/check_shapes/#history).
+
+
+Done done! Go and celebrate our hard work :)
diff --git a/RELEASE.md b/RELEASE.md
new file mode 100644
index 00000000..5feabbda
--- /dev/null
+++ b/RELEASE.md
@@ -0,0 +1,75 @@
+Release notes for all past releases are available in the ['Releases' section](https://github.com/GPflow/check_shapes/releases) of the `check_shapes` Repo. [HOWTO_RELEASE.md](HOWTO_RELEASE.md) explains just that.
+
+# Release x.y.z (template for future releases)
+
+<INSERT SMALL BLURB ABOUT RELEASE FOCUS AREA AND POTENTIAL TOOLCHAIN CHANGES>
+
+## Breaking Changes
+
+* <DOCUMENT BREAKING CHANGES HERE>
+* <THIS SECTION SHOULD CONTAIN API AND BEHAVIORAL BREAKING CHANGES>
+
+## Known Caveats
+
+* <CAVEATS REGARDING THE RELEASE (BUT NOT BREAKING CHANGES).>
+* <ADDING/BUMPING DEPENDENCIES SHOULD GO HERE>
+* <KNOWN LACK OF SUPPORT ON SOME PLATFORM SHOULD GO HERE>
+
+## Major Features and Improvements
+
+* <INSERT MAJOR FEATURE HERE, USING MARKDOWN SYNTAX>
+* <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER>
+
+## Bug Fixes and Other Changes
+
+* <SIMILAR TO ABOVE SECTION, BUT FOR OTHER IMPORTANT CHANGES / BUG FIXES>
+* <IF A CHANGE CLOSES A GITHUB ISSUE, IT SHOULD BE DOCUMENTED HERE>
+* <NOTES SHOULD BE GROUPED PER AREA>
+
+## Thanks to our Contributors
+
+This release contains contributions from:
+
+<INSERT>, <NAME>, <HERE>, <USING>, <GITHUB>, <HANDLE>
+
+
+# Release 0.2.0 (next upcoming release in progress)
+
+<INSERT SMALL BLURB ABOUT RELEASE FOCUS AREA AND POTENTIAL TOOLCHAIN CHANGES>
+
+## Breaking Changes
+
+* <DOCUMENT BREAKING CHANGES HERE>
+* <THIS SECTION SHOULD CONTAIN API AND BEHAVIORAL BREAKING CHANGES>
+
+## Known Caveats
+
+* <CAVEATS REGARDING THE RELEASE (BUT NOT BREAKING CHANGES).>
+* <ADDING/BUMPING DEPENDENCIES SHOULD GO HERE>
+* <KNOWN LACK OF SUPPORT ON SOME PLATFORM SHOULD GO HERE>
+
+## Major Features and Improvements
+
+* <INSERT MAJOR FEATURE HERE, USING MARKDOWN SYNTAX>
+* <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER>
+
+## Bug Fixes and Other Changes
+
+* Fixed bug related to `tf.saved_model` and methods wrapped in `@check_shapes`.
+
+## Thanks to our Contributors
+
+This release contains contributions from:
+
+jesnie
+
+
+# Release 0.1.0
+
+Initial import from [GPflow](https://github.com/GPflow/GPflow) and experimental release.
+
+## Thanks to our Contributors
+
+This release contains contributions from:
+
+jesnie

From b342a063af360a7c6c0c61e1a1be7aacc8fc0dc3 Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Fri, 30 Sep 2022 09:08:45 +0100
Subject: [PATCH 04/10] Set up CI for check_shapes. (#19)

---
 .github/workflows/build_test_deploy.yml | 59 +++++++++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 .github/workflows/build_test_deploy.yml

diff --git a/.github/workflows/build_test_deploy.yml b/.github/workflows/build_test_deploy.yml
new file mode 100644
index 00000000..05ce55c4
--- /dev/null
+++ b/.github/workflows/build_test_deploy.yml
@@ -0,0 +1,59 @@
+name: build_test_deploy
+
+on:
+  push:
+  release:
+    types: [published]
+
+jobs:
+  test-base:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - run: curl -sSL https://install.python-poetry.org | python3 -
+      - run: poetry install
+      - run: poetry run task test
+
+  test-versions:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+          poetryenv: ["tf_min", "tf_max"]
+          include:
+            - poetryenv: "tf_min"
+              python: "3.7"
+            - poetryenv: "tf_max"
+              python: "3.10"
+
+    name: poetryenv-${{ matrix.poetryenv }}
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python }}
+      - run: pip install -r poetryenv_requirements.txt
+      - run: curl -sSL https://install.python-poetry.org | python3 -
+      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv}} install
+      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv}} run task test
+
+  all-tests:
+    needs: [test-base, test-versions]
+    runs-on: ubuntu-latest
+    steps:
+      - run: echo ok
+
+  deploy:
+    needs: all-tests
+    if: github.event_name == 'release'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - run: curl -sSL https://install.python-poetry.org | python3 -
+      - run: poetry build
+      - run: poetry publish -u __token__ -p ${{ secrets.CHECK_SHAPES_PYPI_TOKEN }}

From 9131f06f90da521164478dcecfb4292a16ffae7b Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Mon, 3 Oct 2022 15:22:23 +0100
Subject: [PATCH 05/10] Add documentation. (#22)

---
 .github/workflows/build_test_deploy.yml |  48 ++-
 .gitignore                              |   3 +-
 HOWTO_RELEASE.md                        |  29 +-
 check_shapes/__init__.py                | 456 ----------------------
 check_shapes/checker.py                 |   9 +-
 check_shapes/checker_context.py         |   3 +-
 check_shapes/decorator.py               |   2 +-
 check_shapes/inheritance.py             |   2 +-
 docs/README.md                          |  25 ++
 docs/_static/.keep                      |   3 +
 docs/conf.py                            |  70 ++++
 docs/examples                           |   1 +
 docs/index.rst                          | 490 ++++++++++++++++++++++++
 poetry.lock                             | 327 +++++++++++++++-
 poetryenvs/tf_max/poetry.lock           | 380 ++++++++++++++++--
 poetryenvs/tf_min/poetry.lock           | 381 ++++++++++++++++--
 pyproject.toml                          |  15 +-
 17 files changed, 1700 insertions(+), 544 deletions(-)
 create mode 100644 docs/README.md
 create mode 100644 docs/_static/.keep
 create mode 100644 docs/conf.py
 create mode 120000 docs/examples
 create mode 100644 docs/index.rst

diff --git a/.github/workflows/build_test_deploy.yml b/.github/workflows/build_test_deploy.yml
index 05ce55c4..e16c1e2c 100644
--- a/.github/workflows/build_test_deploy.yml
+++ b/.github/workflows/build_test_deploy.yml
@@ -2,6 +2,8 @@ name: build_test_deploy
 
 on:
   push:
+    branches-ignore:
+      - gh-pages
   release:
     types: [published]
 
@@ -21,14 +23,14 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-          poetryenv: ["tf_min", "tf_max"]
-          include:
-            - poetryenv: "tf_min"
-              python: "3.7"
-            - poetryenv: "tf_max"
-              python: "3.10"
+        poetryenv: ["tf_min", "tf_max"]
+        include:
+          - poetryenv: "tf_min"
+            python: "3.7"
+          - poetryenv: "tf_max"
+            python: "3.10"
 
-    name: poetryenv-${{ matrix.poetryenv }}
+    name: test-${{ matrix.poetryenv }}
     steps:
       - uses: actions/checkout@v3
       - uses: actions/setup-python@v4
@@ -36,8 +38,8 @@ jobs:
           python-version: ${{ matrix.python }}
       - run: pip install -r poetryenv_requirements.txt
       - run: curl -sSL https://install.python-poetry.org | python3 -
-      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv}} install
-      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv}} run task test
+      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv }} install
+      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv }} run task test
 
   all-tests:
     needs: [test-base, test-versions]
@@ -45,6 +47,34 @@ jobs:
     steps:
       - run: echo ok
 
+  docs:
+    needs: all-tests
+    if: contains(fromJson('["refs/heads/main", "refs/heads/develop"]'), github.ref)
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/checkout@v3
+        with:
+          ref: gh-pages
+          path: gh-pages
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - run: curl -sSL https://install.python-poetry.org | python3 -
+      - run: poetry install
+      - run: poetry run task docs
+      - name: Commit new documentation
+        run: |
+          branch=$(git symbolic-ref --short HEAD)
+          rm -rf gh-pages/docs/${branch}
+          mv docs_build gh-pages/docs/${branch}
+          cd gh-pages
+          git add docs
+          git config --global user.email "none"
+          git config --global user.name "github-actions-bot"
+          git commit -m "Build documentation."
+          git push
+
   deploy:
     needs: all-tests
     if: github.event_name == 'release'
diff --git a/.gitignore b/.gitignore
index b6e47617..20a60b87 100644
--- a/.gitignore
+++ b/.gitignore
@@ -69,7 +69,8 @@ instance/
 .scrapy
 
 # Sphinx documentation
-docs/_build/
+docs_build/
+docs_test/
 
 # PyBuilder
 target/
diff --git a/HOWTO_RELEASE.md b/HOWTO_RELEASE.md
index 1a9b8d9e..709e8a3d 100644
--- a/HOWTO_RELEASE.md
+++ b/HOWTO_RELEASE.md
@@ -1,19 +1,22 @@
 # How to make a new `check_shapes` release
 
-1. Check that [RELEASE.md](https://github.com/GPflow/check_shapes/blob/develop/RELEASE.md) contains
-   the up-to-date release notes for the next release.
-   - They should cover all changes, that are visible to library userso on the `develop` branch since
-     the most recent release.
-   - They should make clear to users whether they might benefit from this release and what backwards
-     incompatibilities they might face.
-
-2. Bump the version numbers in the `develop` branch, in the
-   [`pyproject.toml`](https://github.com/GPflow/check_shapes/blob/develop/pyproject.toml) file.
-   Copy the RELEASE.md template for the following release-in-progress.
-
-3. Create a release PR from `develop` to `master`.
+1. Bump the version numbers in the `develop` branch, in *BOTH* the
+   [`pyproject.toml`](https://github.com/GPflow/check_shapes/blob/develop/pyproject.toml) file
+   and the
+   [`__init__`](https://github.com/GPflow/check_shapes/blob/develop/check_shapes/__init__.py).
+
+2. Update [RELEASE.md](https://github.com/GPflow/check_shapes/blob/develop/RELEASE.md).
+   - Make sure it contains up-to-date release notes for the next release.
+     * They should cover all changes, that are visible to library userso on the `develop` branch
+       since the most recent release.
+     * They should make clear to users whether they might benefit from this release and what
+       backwards incompatibilities they might face.
+   - Make sure the release version matches what you were setting elsewhere.
+   - Make a new copy of the template, to prepare for the next release.
+
+3. Create a release PR from `develop` to `main`.
    - **Make a merge commit. DO NOT SQUASH-MERGE.**
-   - If you squash-merge, `master` will be *ahead* of develop (by the squash-merge commit). This
+   - If you squash-merge, `main` will be *ahead* of develop (by the squash-merge commit). This
      means we’ll end up with merge conflicts at the following release!
 
 4. Go to the [release page on GitHub](https://github.com/GPflow/check_shapes/releases/new) and
diff --git a/check_shapes/__init__.py b/check_shapes/__init__.py
index c1b646b1..62534d0d 100644
--- a/check_shapes/__init__.py
+++ b/check_shapes/__init__.py
@@ -13,463 +13,7 @@
 # limitations under the License.
 """
 A library for annotating and checking the shapes of tensors.
-
-The main entry point is :func:`check_shapes`.
-
-Example:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [basic]
-   :end-before: [basic]
-   :dedent:
-
-
-Speed, and interactions with `tf.function`
-++++++++++++++++++++++++++++++++++++++++++
-
-Shape checking has some performance impact. Shape checking can be disabled to help alleviate this.
-Shape checking can be set to one of three different states:
-
-* ``ENABLED``. Shapes are checked wherever they can be.
-* ``EAGER_MODE_ONLY``. Shapes are not checked within anything wrapped in :func:`tf.function`.
-* ``DISABLED``. Shapes are never checked.
-
-The state can be set with :func:`set_enable_check_shapes`:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [disable__manual]
-   :end-before: [disable__manual]
-   :dedent:
-
-Alternatively you can use :func:`disable_check_shapes` to disable shape checking in smaller scopes:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [disable__context_manager]
-   :end-before: [disable__context_manager]
-   :dedent:
-
-Beware that any function declared while shape checking is disabled, will continue not to check
-shapes, even if shape checking is otherwise enabled again.
-
-The default state is ``EAGER_MODE_ONLY``; which is appropriate for smaller project, experiments, and
-notebooks. Write and debug your code in eager mode, and add :func:`tf.function` when you believe
-your code is correct and you want it to run fast. For larger project you probably want to modify
-this setting. In particular you may want to enable all shape checks in your unit tests. If you use
-`pytest <https://docs.pytest.org/>`_ you can do this by updating your root ``conftest.py`` with:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [pytest_fixture]
-   :end-before: [pytest_fixture]
-   :dedent:
-
-
-If shape checking is set to ``ENABLED`` and your code is wrapped in :func:`tf.function` shape checks
-are performed while tracing graphs, but *not* compiled into the actual graphs.  This is considered a
-feature as that means that :func:`check_shapes` doesn't impact the execution speed of your functions
-after they have been compiled.
-
-
-Best-effort checking
-++++++++++++++++++++
-
-This library will perform shape checks on a best-effort basis. Many things can prevent this library
-from being able to check shapes. For example:
-
-* Unknown shapes. Sometimes the library is not able to determine the shape of an object, and thus
-  cannot check that object. For example ``Optional`` arguments with value ``None`` cannot be
-  checked, and compiled TensorFlow code can have variables with an unknown shape.
-
-* Use of variable-rank dimensions (see below). In general we cannot infer the size of variable-rank
-  dimensions if there are multiple variable-rank specifications within the same shape specification
-  (e.g. ``cov: [m..., n...]``). This library will try to learn the size of these variable-rank
-  dimensions from neighbouring shape specifications, but this is not always possible. Use of
-  ``broadcast`` with variable-rank dimensions makes it even harder to infer these values.
-
-
-Check specification
-+++++++++++++++++++
-
-The shapes to check are specified by the arguments to :func:`check_shapes`. Each argument is a
-string of the format:
-
-.. code-block:: bnf
-
-   <argument specifier> ":" <shape specifier> ["if" <condition>] ["#" <note>]
-
-
-Argument specification
-----------------------
-
-The ``<argument specifier>`` must start with either the name of an argument to the decorated
-function, or the special name ``return``. The value ``return`` refers to the value returned by the
-function.
-
-The ``<argument specifier>`` can then be modified to refer to elements of the object in several
-ways:
-
-* Use ``.<name>`` to refer to an attribute of an object:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [argument_ref_attribute]
-     :end-before: [argument_ref_attribute]
-     :dedent:
-
-* Use ``[<index>]`` to refer to a specific element of a sequence. This is particularly useful if
-  your function returns a tuple of values:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [argument_ref_index]
-     :end-before: [argument_ref_index]
-     :dedent:
-
-* Use ``[all]`` to select all elements of a collection:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [argument_ref_all]
-     :end-before: [argument_ref_all]
-     :dedent:
-
-* Use ``.keys()`` to select all keys of a mapping:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [argument_ref_keys]
-     :end-before: [argument_ref_keys]
-     :dedent:
-
-* Use ``.values()`` to select all values of a mapping:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [argument_ref_values]
-     :end-before: [argument_ref_values]
-     :dedent:
-
-.. note::
-
-   We do not support looking up a specific key or value in a  ``dict``.
-
-If the argument, or any of the looked-up values, are ``None`` the check is skipped. This is useful
-for optional values:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [argument_ref_optional]
-   :end-before: [argument_ref_optional]
-   :dedent:
-
-
-Shape specification
--------------------
-
-Shapes are specified by the syntax:
-
-
-.. code-block:: bnf
-
-   "[" <dimension specifier 1> "," <dimension specifer 2> "," ... "," <dimension specifier n> "]"
-
-where ``<dimension specifier i>`` is one of:
-
-* ``<integer>``, to require that dimension to have that exact size:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_constant]
-     :end-before: [dimension_spec_constant]
-     :dedent:
-
-* ``<name>``, to bind that dimension to a variable. Dimensions bound to the same variable must
-  have the same size, though that size can be anything:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_variable]
-     :end-before: [dimension_spec_variable]
-     :dedent:
-
-* ``None`` or ``.`` to allow exactly one single dimension without constraints:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_anonymous__none]
-     :end-before: [dimension_spec_anonymous__none]
-     :dedent:
-
-  or:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_anonymous__dot]
-     :end-before: [dimension_spec_anonymous__dot]
-     :dedent:
-
-* ``*<name>`` or ``<name>...``, to bind *any* number of dimensions to a variable. Again,
-  multiple uses of the same variable name must match the same dimension sizes:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_variable_rank__star]
-     :end-before: [dimension_spec_variable_rank__star]
-     :dedent:
-
-  or:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_variable_rank__ellipsis]
-     :end-before: [dimension_spec_variable_rank__ellipsis]
-     :dedent:
-
-* ``*`` or ``...``, to allow *any* number of dimensions without constraints:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_anonymous_variable_rank__star]
-     :end-before: [dimension_spec_anonymous_variable_rank__star]
-     :dedent:
-
-  or:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [dimension_spec_anonymous_variable_rank__ellipsis]
-     :end-before: [dimension_spec_anonymous_variable_rank__ellipsis]
-     :dedent:
-
-A scalar shape is specified by ``[]``:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [dimension_spec__scalar]
-   :end-before: [dimension_spec__scalar]
-   :dedent:
-
-Any of the above can be prefixed with the keyword ``broadcast`` to allow any value that broadcasts
-to the specification. For example:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [dimension_spec_broadcast]
-   :end-before: [dimension_spec_broadcast]
-   :dedent:
-
-Specifically, to mark a dimension as ``broadcast`` means:
-
-* If the specification is that the dimension should have size ``n``, then the actual dimension must
-  have value ``1`` or ``n``.
-* If all leading dimension specifications are also marked ``broadcast``, then the actual shape is
-  allowed to be shorter than the specification — the dimension is allowed to be missing.
-
-
-Condition specification
------------------------
-
-You can use the optional ``if <condition>`` syntax to conditionally evaluate shapes. If an ``if
-<condition>`` is used, the specification is only appplied if ``<condition>`` evaluates to ``True``.
-This is useful if shapes depend on other input parameters. Valid conditions are:
-
-* ``<argument specifier>``, with the same syntax and rules as above, except that constructions that
-  evaluates to multiple elements are disallowed. Uses the ``bool`` built-in to convert the value of
-  the argument to a ``bool``:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [bool_spec_argument_ref]
-     :end-before: [bool_spec_argument_ref]
-     :dedent:
-
-* ``<argument specifier> is None``, and ``<argument specifier> is not None``, with the usual rules
-  for an ``<argument specifier>``, to test whether an argument is, or is not, ``None``. We currently
-  only allow tests against ``None``, not general Python equality tests:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [bool_spec_argument_ref_is_none]
-     :end-before: [bool_spec_argument_ref_is_none]
-     :dedent:
-
-* ``<left> or <right>``, evaluates to ``True`` if any of ``<left>`` or ``<right>`` evaluates to
-  ``True`` and to ``False`` otherwise:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [bool_spec_or]
-     :end-before: [bool_spec_or]
-     :dedent:
-
-* ``<left> and <right>``, evaluates to ``False`` if any of ``<left>`` or ``<right>`` evaluates to
-  ``False`` and to ``True`` otherwise:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [bool_spec_and]
-     :end-before: [bool_spec_and]
-     :dedent:
-
-* ``not <right>``, evaluates to the opposite value of ``<right>``:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [bool_spec_not]
-     :end-before: [bool_spec_not]
-     :dedent:
-
-* ``(<exp>)``, uses parenthesis to change operator precedence, as usual.
-
-Conditions can be composed to apply different specs, depending on function arguments:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [bool_spec__composition]
-   :end-before: [bool_spec__composition]
-   :dedent:
-
-.. note::
-
-   All specifications with either no ``if`` syntax or a ``<condition>`` that evaluates to ``True``
-   will be applied. It is possible for multiple specifications to apply to the same value.
-
-
-Note specification
-------------------
-
-You can add notes to your specifications using a ``#`` followed by the note. These notes will be
-appended to relevant error messages and appear in rewritten docstrings. You can add notes in two
-places:
-
-* On a single line by itself, to add a note to the entire function:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [note_spec__global]
-     :end-before: [note_spec__global]
-     :dedent:
-
-* After the specification of a single argument, to add a note to that argument only:
-
-  .. literalinclude:: /examples/test_check_shapes_examples.py
-     :start-after: [note_spec__local]
-     :end-before: [note_spec__local]
-     :dedent:
-
-
-Shape reuse
-+++++++++++
-
-Just like with other code it is useful to be able to specify a shape in one place and reuse the
-specification. In particular this ensures that your code keep having internally consistent shapes,
-even if it is refactored.
-
-
-Class inheritance
------------------
-
-If you have a class hiererchy, you probably want to ensure that derived classes handle tensors with
-the same shapes as the base classes. You can use the :func:`inherit_check_shapes` decorator to
-inherit shapes from overridden methods:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [reuse__inherit_check_shapes]
-   :end-before: [reuse__inherit_check_shapes]
-   :dedent:
-
-
-Functional programming
-----------------------
-
-If you prefer functional- over object oriented programming, you may have functions that you require
-to handle the same shapes. To do this, remember that in Python a decorator is just a function, and
-functions are objects that can be stored:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [reuse__functional]
-   :end-before: [reuse__functional]
-   :dedent:
-
-
-Other reuse of shapes
----------------------
-
-You can use :func:`get_check_shapes` to get, and reuse, the shape definitions from a previously
-declared function. This is particularly useful to ensure fakes in tests use the same shapes as the
-production implementation:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [reuse__get_check_shapes]
-   :end-before: [reuse__get_check_shapes]
-   :dedent:
-
-
-Checking intermediate results
-+++++++++++++++++++++++++++++
-
-You can use the function :func:`check_shape` to check the shape of an intermediate result. This
-function will use the same namespace as the immediately surrounding :func:`check_shapes` decorator,
-and should only be called within functions that has such a decorator. For example:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [intermediate_results]
-   :end-before: [intermediate_results]
-   :dedent:
-
-
-Checking shapes without a decorator
-+++++++++++++++++++++++++++++++++++
-
-While the :func:`check_shapes` decorator is the recommend way to use this library, it is possible to
-use it without the decorator. In fact the decorator is just a wrapper around the class
-:class:`ShapeChecker`, which can be used to check shapes directly:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [shape_checker__raw]
-   :end-before: [shape_checker__raw]
-   :dedent:
-
-You can use the function :func:`get_shape_checker` to get the :class:`ShapeChecker` used by any
-immediately surrounding :func:`check_shapes` decorator.
-
-
-Documenting shapes
-++++++++++++++++++
-
-The :func:`check_shapes` decorator rewrites the docstring (``.__doc__``) of the decorated function
-to add information about shapes, in a format compatible with
-`Sphinx <https://www.sphinx-doc.org/en/master/>`_.
-
-Only functions that already have a docstring will be updated. Functions that have no docstring at
-all will not have one added, this is so that we do not override a docstring that would have been
-inherited from a super class.
-
-For example:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [doc_rewrite__definition]
-   :end-before: [doc_rewrite__definition]
-   :dedent:
-
-will have ``.__doc__``:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [doc_rewrite__rewritten]
-   :end-before: [doc_rewrite__rewritten]
-   :dedent:
-
-if you do not wish to have your docstrings rewritten, you can disable it with
-:func:`set_rewrite_docstrings`:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [doc_rewrite__disable]
-   :end-before: [doc_rewrite__disable]
-   :dedent:
-
-
-Supported types
-+++++++++++++++
-
-This library has built-in support for checking the shapes of:
-
-* Python built-in scalars: ``bool``, ``int``, ``float`` and ``str``.
-* Python built-in sequences: ``tuple`` and ``list``.
-* NumPy ``ndarray``\\ s.
-* TensorFlow ``Tensor``\\ s and ``Variable``\\ s.
-* TensorFlow Probability ``DeferredTensor``\\ s, including ``TransformedVariable`` and
-  :class:`gpflow.Parameter`.
-
-
-Shapes of custom types
-----------------------
-
-:mod:`check_shapes` uses the function :func:`get_shape` to extract the shape of an object.
-You can use :func:`register_get_shape` to extend :func:`get_shape` to extract shapes for you own
-custom types:
-
-.. literalinclude:: /examples/test_check_shapes_examples.py
-   :start-after: [custom_type]
-   :end-before: [custom_type]
-   :dedent:
 """
-
 from .accessors import get_check_shapes
 from .base_types import Dimension, Shape
 from .checker import ShapeChecker
diff --git a/check_shapes/checker.py b/check_shapes/checker.py
index fb51c8e4..df77d697 100644
--- a/check_shapes/checker.py
+++ b/check_shapes/checker.py
@@ -263,7 +263,8 @@ def check_shape(
 
         :param shaped: The object whose shape to check.
         :param tensor_spec: Specification to check the tensor against.
-            Usually this is a ``str`` in the format described in `Shape specification`_.
+            Usually this is a ``str`` in the format described under "Shape specification" in our
+            User Guide.
             Alternatively this can be a pre-parsed :class:`ParsedTensorSpec`, or an actual
             :class:`Shape`.
         :param context: Information about where ``shaped`` is coming from, for improved error
@@ -294,9 +295,9 @@ def check_shapes(
 
         :param checks: Checks to perform. The elements can either be ``(shaped, tensor_spec)`` or
             ``(shaped, tensor_spec, context)`` tuples. Where: ``shaped`` is the tensor whose shape
-            to check; ``tensor_spec`` is the specification to check it against (see `Shape
-            specification`_); and ``context`` contains (optional) information about where ``shaped``
-            came from - for better error messages.
+            to check; ``tensor_spec`` is the specification to check it against (see "Shape
+            specification" in our User Guide); and ``context`` contains (optional) information about
+            where ``shaped`` came from - for better error messages.
         """
         if not get_enable_check_shapes():
             return
diff --git a/check_shapes/checker_context.py b/check_shapes/checker_context.py
index fa020ac3..02ea8022 100644
--- a/check_shapes/checker_context.py
+++ b/check_shapes/checker_context.py
@@ -65,7 +65,8 @@ def check_shape(
        :dedent:
 
     :param shaped: The object whose shape to check.
-    :param tensor_spec: Specification to check the tensor against. See: `Shape specification`_.
+    :param tensor_spec: Specification to check the tensor against. See "Shape specification" in our
+        User Guide.
     :param context: Information about where ``shaped`` is coming from, for improved error
         messages.
     :returns: ``shaped``, for convenience.
diff --git a/check_shapes/decorator.py b/check_shapes/decorator.py
index 138d30aa..78c682be 100644
--- a/check_shapes/decorator.py
+++ b/check_shapes/decorator.py
@@ -60,7 +60,7 @@ def check_shapes(*specs: str, tf_decorator: bool = False) -> Callable[[C], C]:
        :end-before: [basic]
        :dedent:
 
-    :param specs: Specification of arguments to check. See: `Check specification`_.
+    :param specs: Specification of arguments to check. See: "Check specification" in our User Guide.
     :param tf_decorator: Whether to wrap the shape check with
         ``tf.compat.v1.flags.tf_decorator.make_decorator``.
         Setting this `True` seems to solve some problems, particularly related to Keras models,
diff --git a/check_shapes/inheritance.py b/check_shapes/inheritance.py
index 06e08f5f..0411de75 100644
--- a/check_shapes/inheritance.py
+++ b/check_shapes/inheritance.py
@@ -35,7 +35,7 @@ def inherit_check_shapes(func: C) -> C:
        :end-before: [reuse__inherit_check_shapes]
        :dedent:
 
-    See: `Class inheritance`_.
+    See: "Class inheritance" in our User Guide.
     """
     if not get_enable_check_shapes():
         return null_check_shapes(func)
diff --git a/docs/README.md b/docs/README.md
new file mode 100644
index 00000000..f14e1ffe
--- /dev/null
+++ b/docs/README.md
@@ -0,0 +1,25 @@
+# `check_shapes` documentation
+
+## Read documentation online
+
+The documentation is stored in a special branch
+[`gp-pages`](https://github.com/GPflow/check_shapes/tree/gh-pages) and served by
+[GitHub Pages](https://pages.github.com/).
+
+We serve a version of documentation for the most recent `main` and `develop` branch pushes.
+
+* `main`: https://gpflow.github.io/check_shapes/main
+* `develop`: https://gpflow.github.io/check_shapes/develop
+
+Normally our GitHub Actions are responsible for building our documentation whenever there is a merge
+to `develop` or `master`. See the
+[configuration](https://github.com/GPflow/check_shapes/blob/develop/.github/workflows) for details.
+
+
+## Compile documentation locally
+
+To compile the GPflow documentation locally:
+
+```bash
+  poetry run task doc
+```
\ No newline at end of file
diff --git a/docs/_static/.keep b/docs/_static/.keep
new file mode 100644
index 00000000..73ddb220
--- /dev/null
+++ b/docs/_static/.keep
@@ -0,0 +1,3 @@
+This file exists to prevent the `_static` directory from being empty.
+Sphinx requires the `_static` directory to exist, but Git does not store empty directories.
+Fell free to delete this file if/when other files have been added to `_static`.
\ No newline at end of file
diff --git a/docs/conf.py b/docs/conf.py
new file mode 100644
index 00000000..22603fa1
--- /dev/null
+++ b/docs/conf.py
@@ -0,0 +1,70 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# This file only contains a selection of the most common options. For a full
+# list see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+# import os
+# import sys
+# sys.path.insert(0, os.path.abspath('.'))
+import check_shapes
+
+
+# -- Project information -----------------------------------------------------
+
+project = 'check_shapes'
+copyright = '2022, The GPflow Contributors'
+author = 'The GPflow Contributors'
+
+# The full version, including alpha/beta/rc tags
+release = check_shapes.__version__
+
+
+# -- General configuration ---------------------------------------------------
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    "sphinx.ext.autodoc",
+    'autoapi.extension'
+]
+
+autoapi_dirs = ['../check_shapes']
+autoapi_add_toctree_entry = False
+autodoc_typehints = 'description'
+autoapi_options = [
+    "members",
+    "private-members",
+    "special-members",
+    "imported-members",
+    "show-inheritance",
+]
+autoapi_python_class_content = "both"
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = []
+
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = 'alabaster'
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
diff --git a/docs/examples b/docs/examples
new file mode 120000
index 00000000..0a916c10
--- /dev/null
+++ b/docs/examples
@@ -0,0 +1 @@
+../tests/examples
\ No newline at end of file
diff --git a/docs/index.rst b/docs/index.rst
new file mode 100644
index 00000000..f52e3f37
--- /dev/null
+++ b/docs/index.rst
@@ -0,0 +1,490 @@
+check_shapes User Guide
+=======================
+
+A library for annotating and checking the shapes of tensors.
+
+* `Documentation for most recent release <https://gpflow.github.io/check_shapes/index.html>`_
+* `Documentation for current development version <https://gpflow.github.io/check_shapes/develop/index.html>`_
+
+
+.. toctree::
+   :maxdepth: 1
+   :titlesonly:
+
+   User Guide <self>
+   API reference <autoapi/check_shapes/index>
+
+
+The main entry point is :func:`check_shapes`.
+
+Example:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [basic]
+   :end-before: [basic]
+   :dedent:
+
+Main features include:
+
+* Supports NumPy and TensorFlow out-of-the-box, and easy to extend to other frameworks.
+* Checking the shapes of function arguments and return types, using a decorator.
+* Checking the shapes of local values, using a function.
+* Constant- and variable size dimensions.
+* Constant- and variable rank tensors.
+* Broadcasting.
+* Conditional shapes.
+* Reuse of shape specifications, including in class inheritance.
+* Automatic rewrite of docstrings to include shape information.
+
+
+Installation
+++++++++++++
+
+``check_shapes`` can be installed with ``pip`` as usual::
+
+  pip install check_shapes
+
+
+Speed, and interactions with `tf.function`
+++++++++++++++++++++++++++++++++++++++++++
+
+Shape checking has some performance impact. Shape checking can be disabled to help alleviate this.
+Shape checking can be set to one of three different states:
+
+* ``ENABLED``. Shapes are checked wherever they can be.
+* ``EAGER_MODE_ONLY``. Shapes are not checked within anything wrapped in :func:`tf.function`.
+* ``DISABLED``. Shapes are never checked.
+
+The state can be set with :func:`set_enable_check_shapes`:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [disable__manual]
+   :end-before: [disable__manual]
+   :dedent:
+
+Alternatively you can use :func:`disable_check_shapes` to disable shape checking in smaller scopes:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [disable__context_manager]
+   :end-before: [disable__context_manager]
+   :dedent:
+
+Beware that any function declared while shape checking is disabled, will continue not to check
+shapes, even if shape checking is otherwise enabled again.
+
+The default state is ``EAGER_MODE_ONLY``; which is appropriate for smaller project, experiments, and
+notebooks. Write and debug your code in eager mode, and add :func:`tf.function` when you believe
+your code is correct and you want it to run fast. For larger project you probably want to modify
+this setting. In particular you may want to enable all shape checks in your unit tests. If you use
+`pytest <https://docs.pytest.org/>`_ you can do this by updating your root ``conftest.py`` with:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [pytest_fixture]
+   :end-before: [pytest_fixture]
+   :dedent:
+
+
+If shape checking is set to ``ENABLED`` and your code is wrapped in :func:`tf.function` shape checks
+are performed while tracing graphs, but *not* compiled into the actual graphs.  This is considered a
+feature as that means that :func:`check_shapes` doesn't impact the execution speed of your functions
+after they have been compiled.
+
+
+Best-effort checking
+++++++++++++++++++++
+
+This library will perform shape checks on a best-effort basis. Many things can prevent this library
+from being able to check shapes. For example:
+
+* Unknown shapes. Sometimes the library is not able to determine the shape of an object, and thus
+  cannot check that object. For example ``Optional`` arguments with value ``None`` cannot be
+  checked, and compiled TensorFlow code can have variables with an unknown shape.
+
+* Use of variable-rank dimensions (see below). In general we cannot infer the size of variable-rank
+  dimensions if there are multiple variable-rank specifications within the same shape specification
+  (e.g. ``cov: [m..., n...]``). This library will try to learn the size of these variable-rank
+  dimensions from neighbouring shape specifications, but this is not always possible. Use of
+  ``broadcast`` with variable-rank dimensions makes it even harder to infer these values.
+
+
+Check specification
++++++++++++++++++++
+
+The shapes to check are specified by the arguments to :func:`check_shapes`. Each argument is a
+string of the format:
+
+.. code-block:: bnf
+
+   <argument specifier> ":" <shape specifier> ["if" <condition>] ["#" <note>]
+
+
+Argument specification
+----------------------
+
+The ``<argument specifier>`` must start with either the name of an argument to the decorated
+function, or the special name ``return``. The value ``return`` refers to the value returned by the
+function.
+
+The ``<argument specifier>`` can then be modified to refer to elements of the object in several
+ways:
+
+* Use ``.<name>`` to refer to an attribute of an object:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [argument_ref_attribute]
+     :end-before: [argument_ref_attribute]
+     :dedent:
+
+* Use ``[<index>]`` to refer to a specific element of a sequence. This is particularly useful if
+  your function returns a tuple of values:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [argument_ref_index]
+     :end-before: [argument_ref_index]
+     :dedent:
+
+* Use ``[all]`` to select all elements of a collection:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [argument_ref_all]
+     :end-before: [argument_ref_all]
+     :dedent:
+
+* Use ``.keys()`` to select all keys of a mapping:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [argument_ref_keys]
+     :end-before: [argument_ref_keys]
+     :dedent:
+
+* Use ``.values()`` to select all values of a mapping:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [argument_ref_values]
+     :end-before: [argument_ref_values]
+     :dedent:
+
+.. note::
+
+   We do not support looking up a specific key or value in a  ``dict``.
+
+If the argument, or any of the looked-up values, are ``None`` the check is skipped. This is useful
+for optional values:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [argument_ref_optional]
+   :end-before: [argument_ref_optional]
+   :dedent:
+
+
+Shape specification
+-------------------
+
+Shapes are specified by the syntax:
+
+
+.. code-block:: bnf
+
+   "[" <dimension specifier 1> "," <dimension specifer 2> "," ... "," <dimension specifier n> "]"
+
+where ``<dimension specifier i>`` is one of:
+
+* ``<integer>``, to require that dimension to have that exact size:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_constant]
+     :end-before: [dimension_spec_constant]
+     :dedent:
+
+* ``<name>``, to bind that dimension to a variable. Dimensions bound to the same variable must
+  have the same size, though that size can be anything:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_variable]
+     :end-before: [dimension_spec_variable]
+     :dedent:
+
+* ``None`` or ``.`` to allow exactly one single dimension without constraints:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_anonymous__none]
+     :end-before: [dimension_spec_anonymous__none]
+     :dedent:
+
+  or:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_anonymous__dot]
+     :end-before: [dimension_spec_anonymous__dot]
+     :dedent:
+
+* ``*<name>`` or ``<name>...``, to bind *any* number of dimensions to a variable. Again,
+  multiple uses of the same variable name must match the same dimension sizes:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_variable_rank__star]
+     :end-before: [dimension_spec_variable_rank__star]
+     :dedent:
+
+  or:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_variable_rank__ellipsis]
+     :end-before: [dimension_spec_variable_rank__ellipsis]
+     :dedent:
+
+* ``*`` or ``...``, to allow *any* number of dimensions without constraints:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_anonymous_variable_rank__star]
+     :end-before: [dimension_spec_anonymous_variable_rank__star]
+     :dedent:
+
+  or:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [dimension_spec_anonymous_variable_rank__ellipsis]
+     :end-before: [dimension_spec_anonymous_variable_rank__ellipsis]
+     :dedent:
+
+A scalar shape is specified by ``[]``:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [dimension_spec__scalar]
+   :end-before: [dimension_spec__scalar]
+   :dedent:
+
+Any of the above can be prefixed with the keyword ``broadcast`` to allow any value that broadcasts
+to the specification. For example:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [dimension_spec_broadcast]
+   :end-before: [dimension_spec_broadcast]
+   :dedent:
+
+Specifically, to mark a dimension as ``broadcast`` means:
+
+* If the specification is that the dimension should have size ``n``, then the actual dimension must
+  have value ``1`` or ``n``.
+* If all leading dimension specifications are also marked ``broadcast``, then the actual shape is
+  allowed to be shorter than the specification — the dimension is allowed to be missing.
+
+
+Condition specification
+-----------------------
+
+You can use the optional ``if <condition>`` syntax to conditionally evaluate shapes. If an ``if
+<condition>`` is used, the specification is only appplied if ``<condition>`` evaluates to ``True``.
+This is useful if shapes depend on other input parameters. Valid conditions are:
+
+* ``<argument specifier>``, with the same syntax and rules as above, except that constructions that
+  evaluates to multiple elements are disallowed. Uses the ``bool`` built-in to convert the value of
+  the argument to a ``bool``:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [bool_spec_argument_ref]
+     :end-before: [bool_spec_argument_ref]
+     :dedent:
+
+* ``<argument specifier> is None``, and ``<argument specifier> is not None``, with the usual rules
+  for an ``<argument specifier>``, to test whether an argument is, or is not, ``None``. We currently
+  only allow tests against ``None``, not general Python equality tests:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [bool_spec_argument_ref_is_none]
+     :end-before: [bool_spec_argument_ref_is_none]
+     :dedent:
+
+* ``<left> or <right>``, evaluates to ``True`` if any of ``<left>`` or ``<right>`` evaluates to
+  ``True`` and to ``False`` otherwise:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [bool_spec_or]
+     :end-before: [bool_spec_or]
+     :dedent:
+
+* ``<left> and <right>``, evaluates to ``False`` if any of ``<left>`` or ``<right>`` evaluates to
+  ``False`` and to ``True`` otherwise:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [bool_spec_and]
+     :end-before: [bool_spec_and]
+     :dedent:
+
+* ``not <right>``, evaluates to the opposite value of ``<right>``:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [bool_spec_not]
+     :end-before: [bool_spec_not]
+     :dedent:
+
+* ``(<exp>)``, uses parenthesis to change operator precedence, as usual.
+
+Conditions can be composed to apply different specs, depending on function arguments:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [bool_spec__composition]
+   :end-before: [bool_spec__composition]
+   :dedent:
+
+.. note::
+
+   All specifications with either no ``if`` syntax or a ``<condition>`` that evaluates to ``True``
+   will be applied. It is possible for multiple specifications to apply to the same value.
+
+
+Note specification
+------------------
+
+You can add notes to your specifications using a ``#`` followed by the note. These notes will be
+appended to relevant error messages and appear in rewritten docstrings. You can add notes in two
+places:
+
+* On a single line by itself, to add a note to the entire function:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [note_spec__global]
+     :end-before: [note_spec__global]
+     :dedent:
+
+* After the specification of a single argument, to add a note to that argument only:
+
+  .. literalinclude:: /examples/test_check_shapes_examples.py
+     :start-after: [note_spec__local]
+     :end-before: [note_spec__local]
+     :dedent:
+
+
+Shape reuse
++++++++++++
+
+Just like with other code it is useful to be able to specify a shape in one place and reuse the
+specification. In particular this ensures that your code keep having internally consistent shapes,
+even if it is refactored.
+
+
+Class inheritance
+-----------------
+
+If you have a class hiererchy, you probably want to ensure that derived classes handle tensors with
+the same shapes as the base classes. You can use the :func:`inherit_check_shapes` decorator to
+inherit shapes from overridden methods:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [reuse__inherit_check_shapes]
+   :end-before: [reuse__inherit_check_shapes]
+   :dedent:
+
+
+Functional programming
+----------------------
+
+If you prefer functional- over object oriented programming, you may have functions that you require
+to handle the same shapes. To do this, remember that in Python a decorator is just a function, and
+functions are objects that can be stored:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [reuse__functional]
+   :end-before: [reuse__functional]
+   :dedent:
+
+
+Other reuse of shapes
+---------------------
+
+You can use :func:`get_check_shapes` to get, and reuse, the shape definitions from a previously
+declared function. This is particularly useful to ensure fakes in tests use the same shapes as the
+production implementation:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [reuse__get_check_shapes]
+   :end-before: [reuse__get_check_shapes]
+   :dedent:
+
+
+Checking intermediate results
++++++++++++++++++++++++++++++
+
+You can use the function :func:`check_shape` to check the shape of an intermediate result. This
+function will use the same namespace as the immediately surrounding :func:`check_shapes` decorator,
+and should only be called within functions that has such a decorator. For example:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [intermediate_results]
+   :end-before: [intermediate_results]
+   :dedent:
+
+
+Checking shapes without a decorator
++++++++++++++++++++++++++++++++++++
+
+While the :func:`check_shapes` decorator is the recommend way to use this library, it is possible to
+use it without the decorator. In fact the decorator is just a wrapper around the class
+:class:`ShapeChecker`, which can be used to check shapes directly:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [shape_checker__raw]
+   :end-before: [shape_checker__raw]
+   :dedent:
+
+You can use the function :func:`get_shape_checker` to get the :class:`ShapeChecker` used by any
+immediately surrounding :func:`check_shapes` decorator.
+
+
+Documenting shapes
+++++++++++++++++++
+
+The :func:`check_shapes` decorator rewrites the docstring (``.__doc__``) of the decorated function
+to add information about shapes, in a format compatible with
+`Sphinx <https://www.sphinx-doc.org/en/master/>`_.
+
+Only functions that already have a docstring will be updated. Functions that have no docstring at
+all will not have one added, this is so that we do not override a docstring that would have been
+inherited from a super class.
+
+For example:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [doc_rewrite__definition]
+   :end-before: [doc_rewrite__definition]
+   :dedent:
+
+will have ``.__doc__``:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [doc_rewrite__rewritten]
+   :end-before: [doc_rewrite__rewritten]
+   :dedent:
+
+if you do not wish to have your docstrings rewritten, you can disable it with
+:func:`set_rewrite_docstrings`:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [doc_rewrite__disable]
+   :end-before: [doc_rewrite__disable]
+   :dedent:
+
+
+Supported types
++++++++++++++++
+
+This library has built-in support for checking the shapes of:
+
+* Python built-in scalars: ``bool``, ``int``, ``float`` and ``str``.
+* Python built-in sequences: ``tuple`` and ``list``.
+* NumPy ``ndarray``\ s.
+* TensorFlow ``Tensor``\ s and ``Variable``\ s.
+* TensorFlow Probability ``DeferredTensor``\ s, including ``TransformedVariable``.
+
+
+Shapes of custom types
+----------------------
+
+:mod:`check_shapes` uses the function :func:`get_shape` to extract the shape of an object.
+You can use :func:`register_get_shape` to extend :func:`get_shape` to extract shapes for you own
+custom types:
+
+.. literalinclude:: /examples/test_check_shapes_examples.py
+   :start-after: [custom_type]
+   :end-before: [custom_type]
+   :dedent:
diff --git a/poetry.lock b/poetry.lock
index 326ef5ac..df7ee990 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -6,6 +6,14 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "appdirs"
 version = "1.4.4"
@@ -61,6 +69,17 @@ docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
 tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
 
+[[package]]
+name = "babel"
+version = "2.10.3"
+description = "Internationalization utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pytz = ">=2015.7"
+
 [[package]]
 name = "black"
 version = "20.8b1"
@@ -165,6 +184,14 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "docutils"
+version = "0.19"
+description = "Docutils -- Python Documentation Utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "flatbuffers"
 version = "22.9.24"
@@ -260,6 +287,14 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
 [[package]]
 name = "importlib-metadata"
 version = "4.12.0"
@@ -299,6 +334,20 @@ requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
 plugins = ["setuptools"]
 
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "keras"
 version = "2.10.0"
@@ -546,6 +595,17 @@ python-versions = "*"
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.5.0"
 
+[[package]]
+name = "pygments"
+version = "2.13.0"
+description = "Pygments is a syntax highlighting package written in Python."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+plugins = ["importlib-metadata"]
+
 [[package]]
 name = "pylint"
 version = "2.13.9"
@@ -600,6 +660,22 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "pytz"
+version = "2022.2.1"
+description = "World timezone definitions, modern and historical"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "regex"
 version = "2022.9.13"
@@ -660,6 +736,137 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "snowballstemmer"
+version = "2.2.0"
+description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "sphinx"
+version = "5.2.2"
+description = "Python documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+alabaster = ">=0.7,<0.8"
+babel = ">=2.9"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+docutils = ">=0.14,<0.20"
+imagesize = ">=1.3"
+importlib-metadata = {version = ">=4.8", markers = "python_version < \"3.10\""}
+Jinja2 = ">=3.0"
+packaging = ">=21.0"
+Pygments = ">=2.12"
+requests = ">=2.5.0"
+snowballstemmer = ">=2.0"
+sphinxcontrib-applehelp = "*"
+sphinxcontrib-devhelp = "*"
+sphinxcontrib-htmlhelp = ">=2.0.0"
+sphinxcontrib-jsmath = "*"
+sphinxcontrib-qthelp = "*"
+sphinxcontrib-serializinghtml = ">=1.1.5"
+
+[package.extras]
+docs = ["sphinxcontrib-websupport"]
+lint = ["flake8 (>=3.5.0)", "flake8-comprehensions", "flake8-bugbear", "flake8-simplify", "isort", "mypy (>=0.981)", "sphinx-lint", "docutils-stubs", "types-typed-ast", "types-requests"]
+test = ["pytest (>=4.6)", "html5lib", "typed-ast", "cython"]
+
+[[package]]
+name = "sphinx-autoapi"
+version = "2.0.0"
+description = "Sphinx API documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+astroid = ">=2.7"
+Jinja2 = "*"
+PyYAML = "*"
+sphinx = ">=4.0"
+unidecode = "*"
+
+[package.extras]
+go = ["sphinxcontrib-golangdomain"]
+dotnet = ["sphinxcontrib-dotnetdomain"]
+docs = ["sphinx-rtd-theme", "sphinx"]
+
+[[package]]
+name = "sphinxcontrib-applehelp"
+version = "1.0.2"
+description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-devhelp"
+version = "1.0.2"
+description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-htmlhelp"
+version = "2.0.0"
+description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+test = ["html5lib", "pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-jsmath"
+version = "1.0.1"
+description = "A sphinx extension which renders display math in HTML via JavaScript"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["mypy", "flake8", "pytest"]
+
+[[package]]
+name = "sphinxcontrib-qthelp"
+version = "1.0.3"
+description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-serializinghtml"
+version = "1.1.5"
+description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
+test = ["pytest"]
+
 [[package]]
 name = "taskipy"
 version = "1.10.3"
@@ -837,6 +1044,14 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "unidecode"
+version = "1.3.5"
+description = "ASCII transliterations of Unicode text"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
 [[package]]
 name = "urllib3"
 version = "1.26.12"
@@ -887,13 +1102,17 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
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 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "44c069b48a5b2f0642a99975cbc8853ad9f5cb7be5036a16d6439dea3eb18d7b"
+content-hash = "b953616474d0f92a53f1ce91baae17bd024c8ba3d12825b355737db374b4cfa4"
 
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 ]
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+    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
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 appdirs = [
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@@ -913,6 +1132,10 @@ attrs = [
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 ]
+babel = [
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+    {file = "Babel-2.10.3.tar.gz", hash = "sha256:7614553711ee97490f732126dc077f8d0ae084ebc6a96e23db1482afabdb2c51"},
+]
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 ]
@@ -972,6 +1195,10 @@ dm-tree = [
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 ]
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@@ -1065,6 +1292,10 @@ idna = [
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 ]
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+]
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@@ -1077,6 +1308,10 @@ isort = [
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 ]
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+]
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 ]
@@ -1376,6 +1611,10 @@ pyasn1-modules = [
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 ]
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@@ -1388,6 +1627,52 @@ pytest = [
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+    {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"},
+    {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"},
+    {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"},
+    {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"},
+    {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
+]
 regex = [
     {file = "regex-2022.9.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0394265391a86e2bbaa7606e59ac71bd9f1edf8665a59e42771a9c9adbf6fd4f"},
     {file = "regex-2022.9.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86df2049b18745f3cd4b0f4c4ef672bfac4b80ca488e6ecfd2bbfe68d2423a2c"},
@@ -1494,6 +1779,42 @@ six = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
+snowballstemmer = [
+    {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
+    {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
+]
+sphinx = [
+    {file = "Sphinx-5.2.2.tar.gz", hash = "sha256:7225c104dc06169eb73b061582c4bc84a9594042acae6c1582564de274b7df2f"},
+    {file = "sphinx-5.2.2-py3-none-any.whl", hash = "sha256:9150a8ed2e98d70e778624373f183c5498bf429dd605cf7b63e80e2a166c35a5"},
+]
+sphinx-autoapi = [
+    {file = "sphinx-autoapi-2.0.0.tar.gz", hash = "sha256:97dcf1b5b54cd0d8efef867594e4a4f3e2d3a2c0ec1e5a891e0a61bc77046006"},
+    {file = "sphinx_autoapi-2.0.0-py2.py3-none-any.whl", hash = "sha256:dab2753a38cad907bf4e61473c0da365a26bfbe69fbf5aa6e4f7d48e1cf8a148"},
+]
+sphinxcontrib-applehelp = [
+    {file = "sphinxcontrib-applehelp-1.0.2.tar.gz", hash = "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"},
+    {file = "sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a"},
+]
+sphinxcontrib-devhelp = [
+    {file = "sphinxcontrib-devhelp-1.0.2.tar.gz", hash = "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"},
+    {file = "sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e"},
+]
+sphinxcontrib-htmlhelp = [
+    {file = "sphinxcontrib-htmlhelp-2.0.0.tar.gz", hash = "sha256:f5f8bb2d0d629f398bf47d0d69c07bc13b65f75a81ad9e2f71a63d4b7a2f6db2"},
+    {file = "sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl", hash = "sha256:d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07"},
+]
+sphinxcontrib-jsmath = [
+    {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
+    {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
+]
+sphinxcontrib-qthelp = [
+    {file = "sphinxcontrib-qthelp-1.0.3.tar.gz", hash = "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72"},
+    {file = "sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"},
+]
+sphinxcontrib-serializinghtml = [
+    {file = "sphinxcontrib-serializinghtml-1.1.5.tar.gz", hash = "sha256:aa5f6de5dfdf809ef505c4895e51ef5c9eac17d0f287933eb49ec495280b6952"},
+    {file = "sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl", hash = "sha256:352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd"},
+]
 taskipy = [
     {file = "taskipy-1.10.3-py3-none-any.whl", hash = "sha256:4c0070ca53868d97989f7ab5c6f237525d52ee184f9b967576e8fe427ed9d0b8"},
     {file = "taskipy-1.10.3.tar.gz", hash = "sha256:112beaf21e3d5569950b99162a1de003fa885fabee9e450757a6b874be914877"},
@@ -1593,6 +1914,10 @@ typing-extensions = [
     {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
     {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
 ]
+unidecode = [
+    {file = "Unidecode-1.3.5-py3-none-any.whl", hash = "sha256:d30c896583ae2ade4bfd2a6591a7102a51ddcd3c0f05bbf225ffbfe658973141"},
+    {file = "Unidecode-1.3.5.tar.gz", hash = "sha256:c4cad1b85ec76be67be7096bbaa77e539e6de12ff9a59c1d5d567198582e4bbe"},
+]
 urllib3 = [
     {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
     {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
diff --git a/poetryenvs/tf_max/poetry.lock b/poetryenvs/tf_max/poetry.lock
index a4729e63..02f81d6b 100644
--- a/poetryenvs/tf_max/poetry.lock
+++ b/poetryenvs/tf_max/poetry.lock
@@ -6,6 +6,14 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "appdirs"
 version = "1.4.4"
@@ -59,6 +67,17 @@ docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
 tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
 
+[[package]]
+name = "babel"
+version = "2.10.3"
+description = "Internationalization utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pytz = ">=2015.7"
+
 [[package]]
 name = "black"
 version = "20.8b1"
@@ -162,6 +181,14 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "docutils"
+version = "0.19"
+description = "Docutils -- Python Documentation Utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "flatbuffers"
 version = "22.9.24"
@@ -257,6 +284,14 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
 [[package]]
 name = "iniconfig"
 version = "1.1.1"
@@ -279,6 +314,20 @@ requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
 plugins = ["setuptools"]
 
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "keras"
 version = "2.10.0"
@@ -475,7 +524,7 @@ dev = ["tox", "pre-commit"]
 
 [[package]]
 name = "protobuf"
-version = "3.19.5"
+version = "3.19.6"
 description = "Protocol Buffers"
 category = "main"
 optional = false
@@ -519,6 +568,17 @@ python-versions = "*"
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.5.0"
 
+[[package]]
+name = "pygments"
+version = "2.13.0"
+description = "Pygments is a syntax highlighting package written in Python."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+plugins = ["importlib-metadata"]
+
 [[package]]
 name = "pylint"
 version = "2.15.3"
@@ -573,6 +633,22 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "pytz"
+version = "2022.2.1"
+description = "World timezone definitions, modern and historical"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "regex"
 version = "2022.9.13"
@@ -633,6 +709,136 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "snowballstemmer"
+version = "2.2.0"
+description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "sphinx"
+version = "5.2.2"
+description = "Python documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+alabaster = ">=0.7,<0.8"
+babel = ">=2.9"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+docutils = ">=0.14,<0.20"
+imagesize = ">=1.3"
+Jinja2 = ">=3.0"
+packaging = ">=21.0"
+Pygments = ">=2.12"
+requests = ">=2.5.0"
+snowballstemmer = ">=2.0"
+sphinxcontrib-applehelp = "*"
+sphinxcontrib-devhelp = "*"
+sphinxcontrib-htmlhelp = ">=2.0.0"
+sphinxcontrib-jsmath = "*"
+sphinxcontrib-qthelp = "*"
+sphinxcontrib-serializinghtml = ">=1.1.5"
+
+[package.extras]
+docs = ["sphinxcontrib-websupport"]
+lint = ["flake8 (>=3.5.0)", "flake8-comprehensions", "flake8-bugbear", "flake8-simplify", "isort", "mypy (>=0.981)", "sphinx-lint", "docutils-stubs", "types-typed-ast", "types-requests"]
+test = ["pytest (>=4.6)", "html5lib", "typed-ast", "cython"]
+
+[[package]]
+name = "sphinx-autoapi"
+version = "2.0.0"
+description = "Sphinx API documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+astroid = ">=2.7"
+Jinja2 = "*"
+PyYAML = "*"
+sphinx = ">=4.0"
+unidecode = "*"
+
+[package.extras]
+go = ["sphinxcontrib-golangdomain"]
+dotnet = ["sphinxcontrib-dotnetdomain"]
+docs = ["sphinx-rtd-theme", "sphinx"]
+
+[[package]]
+name = "sphinxcontrib-applehelp"
+version = "1.0.2"
+description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-devhelp"
+version = "1.0.2"
+description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-htmlhelp"
+version = "2.0.0"
+description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+test = ["html5lib", "pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-jsmath"
+version = "1.0.1"
+description = "A sphinx extension which renders display math in HTML via JavaScript"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["mypy", "flake8", "pytest"]
+
+[[package]]
+name = "sphinxcontrib-qthelp"
+version = "1.0.3"
+description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-serializinghtml"
+version = "1.1.5"
+description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
+test = ["pytest"]
+
 [[package]]
 name = "taskipy"
 version = "1.10.3"
@@ -810,6 +1016,14 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "unidecode"
+version = "1.3.5"
+description = "ASCII transliterations of Unicode text"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
 [[package]]
 name = "urllib3"
 version = "1.26.12"
@@ -848,13 +1062,17 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "a574c0f83ba8aa1272eaaeab62d6a88322c38ecf013a8db5a0d4be4a2a374178"
+content-hash = "9100d63b97326aabfdced536ab22a3c279a3971972411ffdff800b0f6cf321fa"
 
 [metadata.files]
 absl-py = [
     {file = "absl-py-1.2.0.tar.gz", hash = "sha256:f568809938c49abbda89826223c992b630afd23c638160ad7840cfe347710d97"},
     {file = "absl_py-1.2.0-py3-none-any.whl", hash = "sha256:5d15f85b8cc859c6245bc9886ba664460ed96a6fee895416caa37d669ee74a9a"},
 ]
+alabaster = [
+    {file = "alabaster-0.7.12-py2.py3-none-any.whl", hash = "sha256:446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359"},
+    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
+]
 appdirs = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -874,6 +1092,10 @@ attrs = [
     {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
     {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
 ]
+babel = [
+    {file = "Babel-2.10.3-py3-none-any.whl", hash = "sha256:ff56f4892c1c4bf0d814575ea23471c230d544203c7748e8c68f0089478d48eb"},
+    {file = "Babel-2.10.3.tar.gz", hash = "sha256:7614553711ee97490f732126dc077f8d0ae084ebc6a96e23db1482afabdb2c51"},
+]
 black = [
     {file = "black-20.8b1.tar.gz", hash = "sha256:1c02557aa099101b9d21496f8a914e9ed2222ef70336404eeeac8edba836fbea"},
 ]
@@ -933,6 +1155,10 @@ dm-tree = [
     {file = "dm_tree-0.1.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1379a02df36e2bbff9819ceafa55ccd436b15af398803f781f372f8ead7ed871"},
     {file = "dm_tree-0.1.7-cp39-cp39-win_amd64.whl", hash = "sha256:3ca0a58e219b7b0bc201fea4679971188d0a9028a2543c16803a84e8f8c7eb2c"},
 ]
+docutils = [
+    {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
+    {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
+]
 flatbuffers = [
     {file = "flatbuffers-22.9.24-py2.py3-none-any.whl", hash = "sha256:fc30f024e2eee55922d610f4d68626002fcd3c8f87d8058ec5ae9edd86993bcb"},
 ]
@@ -1026,6 +1252,10 @@ idna = [
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+    {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"},
+    {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"},
+    {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"},
+    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"},
+    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"},
+    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"},
+    {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"},
+    {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"},
+    {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"},
+    {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"},
+    {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
+]
 regex = [
     {file = "regex-2022.9.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0394265391a86e2bbaa7606e59ac71bd9f1edf8665a59e42771a9c9adbf6fd4f"},
     {file = "regex-2022.9.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86df2049b18745f3cd4b0f4c4ef672bfac4b80ca488e6ecfd2bbfe68d2423a2c"},
@@ -1451,6 +1735,42 @@ six = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
+snowballstemmer = [
+    {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
+    {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
+]
+sphinx = [
+    {file = "Sphinx-5.2.2.tar.gz", hash = "sha256:7225c104dc06169eb73b061582c4bc84a9594042acae6c1582564de274b7df2f"},
+    {file = "sphinx-5.2.2-py3-none-any.whl", hash = "sha256:9150a8ed2e98d70e778624373f183c5498bf429dd605cf7b63e80e2a166c35a5"},
+]
+sphinx-autoapi = [
+    {file = "sphinx-autoapi-2.0.0.tar.gz", hash = "sha256:97dcf1b5b54cd0d8efef867594e4a4f3e2d3a2c0ec1e5a891e0a61bc77046006"},
+    {file = "sphinx_autoapi-2.0.0-py2.py3-none-any.whl", hash = "sha256:dab2753a38cad907bf4e61473c0da365a26bfbe69fbf5aa6e4f7d48e1cf8a148"},
+]
+sphinxcontrib-applehelp = [
+    {file = "sphinxcontrib-applehelp-1.0.2.tar.gz", hash = "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"},
+    {file = "sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a"},
+]
+sphinxcontrib-devhelp = [
+    {file = "sphinxcontrib-devhelp-1.0.2.tar.gz", hash = "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"},
+    {file = "sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e"},
+]
+sphinxcontrib-htmlhelp = [
+    {file = "sphinxcontrib-htmlhelp-2.0.0.tar.gz", hash = "sha256:f5f8bb2d0d629f398bf47d0d69c07bc13b65f75a81ad9e2f71a63d4b7a2f6db2"},
+    {file = "sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl", hash = "sha256:d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07"},
+]
+sphinxcontrib-jsmath = [
+    {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
+    {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
+]
+sphinxcontrib-qthelp = [
+    {file = "sphinxcontrib-qthelp-1.0.3.tar.gz", hash = "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72"},
+    {file = "sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"},
+]
+sphinxcontrib-serializinghtml = [
+    {file = "sphinxcontrib-serializinghtml-1.1.5.tar.gz", hash = "sha256:aa5f6de5dfdf809ef505c4895e51ef5c9eac17d0f287933eb49ec495280b6952"},
+    {file = "sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl", hash = "sha256:352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd"},
+]
 taskipy = [
     {file = "taskipy-1.10.3-py3-none-any.whl", hash = "sha256:4c0070ca53868d97989f7ab5c6f237525d52ee184f9b967576e8fe427ed9d0b8"},
     {file = "taskipy-1.10.3.tar.gz", hash = "sha256:112beaf21e3d5569950b99162a1de003fa885fabee9e450757a6b874be914877"},
@@ -1550,6 +1870,10 @@ typing-extensions = [
     {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
     {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
 ]
+unidecode = [
+    {file = "Unidecode-1.3.5-py3-none-any.whl", hash = "sha256:d30c896583ae2ade4bfd2a6591a7102a51ddcd3c0f05bbf225ffbfe658973141"},
+    {file = "Unidecode-1.3.5.tar.gz", hash = "sha256:c4cad1b85ec76be67be7096bbaa77e539e6de12ff9a59c1d5d567198582e4bbe"},
+]
 urllib3 = [
     {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
     {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
diff --git a/poetryenvs/tf_min/poetry.lock b/poetryenvs/tf_min/poetry.lock
index 28a37cc4..bbff4f64 100644
--- a/poetryenvs/tf_min/poetry.lock
+++ b/poetryenvs/tf_min/poetry.lock
@@ -9,6 +9,14 @@ python-versions = "*"
 [package.dependencies]
 six = "*"
 
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "appdirs"
 version = "1.4.4"
@@ -64,6 +72,17 @@ docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
 tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
 
+[[package]]
+name = "babel"
+version = "2.10.3"
+description = "Internationalization utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pytz = ">=2015.7"
+
 [[package]]
 name = "black"
 version = "20.8b1"
@@ -157,6 +176,14 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "docutils"
+version = "0.19"
+description = "Docutils -- Python Documentation Utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "flatbuffers"
 version = "1.12"
@@ -253,6 +280,14 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
 [[package]]
 name = "importlib-metadata"
 version = "4.12.0"
@@ -292,6 +327,20 @@ requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
 plugins = ["setuptools"]
 
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "keras-preprocessing"
 version = "1.1.2"
@@ -478,7 +527,7 @@ dev = ["tox", "pre-commit"]
 
 [[package]]
 name = "protobuf"
-version = "3.19.5"
+version = "3.19.6"
 description = "Protocol Buffers"
 category = "main"
 optional = false
@@ -522,6 +571,17 @@ python-versions = "*"
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.5.0"
 
+[[package]]
+name = "pygments"
+version = "2.13.0"
+description = "Pygments is a syntax highlighting package written in Python."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+plugins = ["importlib-metadata"]
+
 [[package]]
 name = "pylint"
 version = "2.10.2"
@@ -571,6 +631,22 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "pytz"
+version = "2022.2.1"
+description = "World timezone definitions, modern and historical"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "regex"
 version = "2022.9.13"
@@ -631,6 +707,137 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "snowballstemmer"
+version = "2.2.0"
+description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "sphinx"
+version = "5.2.2"
+description = "Python documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+alabaster = ">=0.7,<0.8"
+babel = ">=2.9"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+docutils = ">=0.14,<0.20"
+imagesize = ">=1.3"
+importlib-metadata = {version = ">=4.8", markers = "python_version < \"3.10\""}
+Jinja2 = ">=3.0"
+packaging = ">=21.0"
+Pygments = ">=2.12"
+requests = ">=2.5.0"
+snowballstemmer = ">=2.0"
+sphinxcontrib-applehelp = "*"
+sphinxcontrib-devhelp = "*"
+sphinxcontrib-htmlhelp = ">=2.0.0"
+sphinxcontrib-jsmath = "*"
+sphinxcontrib-qthelp = "*"
+sphinxcontrib-serializinghtml = ">=1.1.5"
+
+[package.extras]
+docs = ["sphinxcontrib-websupport"]
+lint = ["flake8 (>=3.5.0)", "flake8-comprehensions", "flake8-bugbear", "flake8-simplify", "isort", "mypy (>=0.981)", "sphinx-lint", "docutils-stubs", "types-typed-ast", "types-requests"]
+test = ["pytest (>=4.6)", "html5lib", "typed-ast", "cython"]
+
+[[package]]
+name = "sphinx-autoapi"
+version = "2.0.0"
+description = "Sphinx API documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+astroid = ">=2.7"
+Jinja2 = "*"
+PyYAML = "*"
+sphinx = ">=4.0"
+unidecode = "*"
+
+[package.extras]
+go = ["sphinxcontrib-golangdomain"]
+dotnet = ["sphinxcontrib-dotnetdomain"]
+docs = ["sphinx-rtd-theme", "sphinx"]
+
+[[package]]
+name = "sphinxcontrib-applehelp"
+version = "1.0.2"
+description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-devhelp"
+version = "1.0.2"
+description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-htmlhelp"
+version = "2.0.0"
+description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+test = ["html5lib", "pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-jsmath"
+version = "1.0.1"
+description = "A sphinx extension which renders display math in HTML via JavaScript"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["mypy", "flake8", "pytest"]
+
+[[package]]
+name = "sphinxcontrib-qthelp"
+version = "1.0.3"
+description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-serializinghtml"
+version = "1.1.5"
+description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
+test = ["pytest"]
+
 [[package]]
 name = "taskipy"
 version = "1.10.3"
@@ -785,6 +992,14 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "unidecode"
+version = "1.3.5"
+description = "ASCII transliterations of Unicode text"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
 [[package]]
 name = "urllib3"
 version = "1.26.12"
@@ -835,13 +1050,17 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "5f74e32c66e2cf2ebad846f550033f77d257c063bafde140c1f2c650747d8f21"
+content-hash = "0273d29244f3772b80f643b5258faa09f817070c4a8c74178c7cfb98cee623ed"
 
 [metadata.files]
 absl-py = [
     {file = "absl-py-0.15.0.tar.gz", hash = "sha256:72d782fbeafba66ba3e525d46bccac949b9a174dbf66233e50ece09ee688dc81"},
     {file = "absl_py-0.15.0-py3-none-any.whl", hash = "sha256:ea907384af023a7e681368bedb896159ab100c7db593efbbd5cde22af11270cd"},
 ]
+alabaster = [
+    {file = "alabaster-0.7.12-py2.py3-none-any.whl", hash = "sha256:446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359"},
+    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
+]
 appdirs = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -861,6 +1080,10 @@ attrs = [
     {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
     {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
 ]
+babel = [
+    {file = "Babel-2.10.3-py3-none-any.whl", hash = "sha256:ff56f4892c1c4bf0d814575ea23471c230d544203c7748e8c68f0089478d48eb"},
+    {file = "Babel-2.10.3.tar.gz", hash = "sha256:7614553711ee97490f732126dc077f8d0ae084ebc6a96e23db1482afabdb2c51"},
+]
 black = [
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+    {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"},
+    {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"},
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+    {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"},
+    {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"},
+    {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"},
+    {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"},
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+    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"},
+    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"},
+    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"},
+    {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"},
+    {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"},
+    {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"},
+    {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"},
+    {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
+]
 regex = [
     {file = "regex-2022.9.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0394265391a86e2bbaa7606e59ac71bd9f1edf8665a59e42771a9c9adbf6fd4f"},
     {file = "regex-2022.9.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86df2049b18745f3cd4b0f4c4ef672bfac4b80ca488e6ecfd2bbfe68d2423a2c"},
@@ -1426,6 +1711,42 @@ six = [
     {file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
     {file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
 ]
+snowballstemmer = [
+    {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
+    {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
+]
+sphinx = [
+    {file = "Sphinx-5.2.2.tar.gz", hash = "sha256:7225c104dc06169eb73b061582c4bc84a9594042acae6c1582564de274b7df2f"},
+    {file = "sphinx-5.2.2-py3-none-any.whl", hash = "sha256:9150a8ed2e98d70e778624373f183c5498bf429dd605cf7b63e80e2a166c35a5"},
+]
+sphinx-autoapi = [
+    {file = "sphinx-autoapi-2.0.0.tar.gz", hash = "sha256:97dcf1b5b54cd0d8efef867594e4a4f3e2d3a2c0ec1e5a891e0a61bc77046006"},
+    {file = "sphinx_autoapi-2.0.0-py2.py3-none-any.whl", hash = "sha256:dab2753a38cad907bf4e61473c0da365a26bfbe69fbf5aa6e4f7d48e1cf8a148"},
+]
+sphinxcontrib-applehelp = [
+    {file = "sphinxcontrib-applehelp-1.0.2.tar.gz", hash = "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"},
+    {file = "sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a"},
+]
+sphinxcontrib-devhelp = [
+    {file = "sphinxcontrib-devhelp-1.0.2.tar.gz", hash = "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"},
+    {file = "sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e"},
+]
+sphinxcontrib-htmlhelp = [
+    {file = "sphinxcontrib-htmlhelp-2.0.0.tar.gz", hash = "sha256:f5f8bb2d0d629f398bf47d0d69c07bc13b65f75a81ad9e2f71a63d4b7a2f6db2"},
+    {file = "sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl", hash = "sha256:d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07"},
+]
+sphinxcontrib-jsmath = [
+    {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
+    {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
+]
+sphinxcontrib-qthelp = [
+    {file = "sphinxcontrib-qthelp-1.0.3.tar.gz", hash = "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72"},
+    {file = "sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"},
+]
+sphinxcontrib-serializinghtml = [
+    {file = "sphinxcontrib-serializinghtml-1.1.5.tar.gz", hash = "sha256:aa5f6de5dfdf809ef505c4895e51ef5c9eac17d0f287933eb49ec495280b6952"},
+    {file = "sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl", hash = "sha256:352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd"},
+]
 taskipy = [
     {file = "taskipy-1.10.3-py3-none-any.whl", hash = "sha256:4c0070ca53868d97989f7ab5c6f237525d52ee184f9b967576e8fe427ed9d0b8"},
     {file = "taskipy-1.10.3.tar.gz", hash = "sha256:112beaf21e3d5569950b99162a1de003fa885fabee9e450757a6b874be914877"},
@@ -1510,6 +1831,10 @@ typing-extensions = [
     {file = "typing_extensions-3.7.4.3-py3-none-any.whl", hash = "sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918"},
     {file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
 ]
+unidecode = [
+    {file = "Unidecode-1.3.5-py3-none-any.whl", hash = "sha256:d30c896583ae2ade4bfd2a6591a7102a51ddcd3c0f05bbf225ffbfe658973141"},
+    {file = "Unidecode-1.3.5.tar.gz", hash = "sha256:c4cad1b85ec76be67be7096bbaa77e539e6de12ff9a59c1d5d567198582e4bbe"},
+]
 urllib3 = [
     {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
     {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
diff --git a/pyproject.toml b/pyproject.toml
index 9260122e..39f41dcd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,6 +45,8 @@ pylint = "^2.10.0"
 pytest = "^6.0.0"
 taskipy = "^1.10.0"
 tomlkit = "^0.11.4"
+Sphinx = "^5.2.2"
+sphinx-autoapi = "^2.0.0"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
@@ -81,6 +83,17 @@ ignore_missing_imports = true
 
 
 [tool.taskipy.tasks]
+docs = """
+    echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX docs XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+    rm -rf docs_build
+    sphinx-build -b html docs docs_build
+"""
+docs_check = """
+    echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX docs XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+    rm -rf docs_test
+    sphinx-build -W --keep-going -b html docs docs_test
+"""
+
 isort = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX isort XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
     isort poetryenv check_shapes tests
@@ -114,4 +127,4 @@ format = "task isort && task black"
 format_check = "task isort_check && task black_check"
 lint = "task format_check && task mypy && task pylint"
 format_and_test = "task format && task mypy && task pylint && task pytest"
-test = "task lint && task pytest"
+test = "task lint && task pytest && task docs_check"

From a8f74c21061bac8e0723746835f8f5c3dcbbfa2a Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Fri, 7 Oct 2022 12:03:41 +0100
Subject: [PATCH 06/10] Make check_shapes independent of the tensor framework.
 (#23)

---
 .github/workflows/build_test_deploy.yml       |   13 +-
 RELEASE.md                                    |    8 +-
 check_shapes/__init__.py                      |    5 +
 check_shapes/base_types.py                    |   17 +-
 check_shapes/config.py                        |   18 +-
 check_shapes/decorator.py                     |   45 +-
 check_shapes/integration/__init__.py          |    0
 check_shapes/integration/tf.py                |   94 +
 check_shapes/integration/torch.py             |   35 +
 check_shapes/mypy_flags.py                    |   25 -
 check_shapes/py.typed                         |    0
 check_shapes/shapes.py                        |   39 +-
 check_shapes/type_flags.py                    |   57 -
 docs/index.rst                                |   11 +-
 poetry.lock                                   |  797 +------
 poetryenv                                     |   70 +-
 poetryenvs/jax_max/poetry.lock                | 1440 ++++++++++++
 poetryenvs/jax_max/pyproject_overrides.toml   |    4 +
 poetryenvs/jax_min/poetry.lock                | 1424 ++++++++++++
 poetryenvs/jax_min/pyproject_overrides.toml   |    4 +
 poetryenvs/np_max/poetry.lock                 | 1251 +++++++++++
 poetryenvs/np_max/pyproject_overrides.toml    |    3 +
 poetryenvs/np_min/poetry.lock                 | 1286 +++++++++++
 poetryenvs/np_min/pyproject_overrides.toml    |    3 +
 poetryenvs/py_max/poetry.lock                 | 1210 ++++++++++
 poetryenvs/py_max/pyproject_overrides.toml    |    2 +
 poetryenvs/py_min/poetry.lock                 | 1255 +++++++++++
 poetryenvs/py_min/pyproject_overrides.toml    |    2 +
 poetryenvs/tf_max/poetry.lock                 |  100 +-
 poetryenvs/tf_max/pyproject_overrides.toml    |    3 +-
 poetryenvs/tf_min/poetry.lock                 |  109 +-
 poetryenvs/tf_min/pyproject_overrides.toml    |    1 -
 poetryenvs/tfp_max/poetry.lock                | 1950 +++++++++++++++++
 poetryenvs/tfp_max/pyproject_overrides.toml   |    5 +
 poetryenvs/tfp_min/poetry.lock                | 1852 ++++++++++++++++
 poetryenvs/tfp_min/pyproject_overrides.toml   |    4 +
 poetryenvs/torch_max/poetry.lock              | 1284 +++++++++++
 poetryenvs/torch_max/pyproject_overrides.toml |    4 +
 poetryenvs/torch_min/poetry.lock              | 1315 +++++++++++
 poetryenvs/torch_min/pyproject_overrides.toml |    4 +
 pyproject.toml                                |   17 +-
 tests/check_shapes/integration/__init__.py    |    0
 tests/check_shapes/integration/test_jax.py    |  194 ++
 tests/check_shapes/integration/test_np.py     |  185 ++
 .../test_tf.py}                               |  220 +-
 tests/check_shapes/integration/test_tfp.py    |   49 +
 tests/check_shapes/integration/test_torch.py  |  183 ++
 tests/check_shapes/test_config.py             |   30 +-
 tests/check_shapes/test_shapes.py             |   26 +-
 tests/check_shapes/utils.py                   |   16 +-
 tests/examples/test_check_shapes_examples.py  |  227 +-
 51 files changed, 15604 insertions(+), 1292 deletions(-)
 create mode 100644 check_shapes/integration/__init__.py
 create mode 100644 check_shapes/integration/tf.py
 create mode 100644 check_shapes/integration/torch.py
 delete mode 100644 check_shapes/mypy_flags.py
 create mode 100644 check_shapes/py.typed
 delete mode 100644 check_shapes/type_flags.py
 create mode 100644 poetryenvs/jax_max/poetry.lock
 create mode 100644 poetryenvs/jax_max/pyproject_overrides.toml
 create mode 100644 poetryenvs/jax_min/poetry.lock
 create mode 100644 poetryenvs/jax_min/pyproject_overrides.toml
 create mode 100644 poetryenvs/np_max/poetry.lock
 create mode 100644 poetryenvs/np_max/pyproject_overrides.toml
 create mode 100644 poetryenvs/np_min/poetry.lock
 create mode 100644 poetryenvs/np_min/pyproject_overrides.toml
 create mode 100644 poetryenvs/py_max/poetry.lock
 create mode 100644 poetryenvs/py_max/pyproject_overrides.toml
 create mode 100644 poetryenvs/py_min/poetry.lock
 create mode 100644 poetryenvs/py_min/pyproject_overrides.toml
 create mode 100644 poetryenvs/tfp_max/poetry.lock
 create mode 100644 poetryenvs/tfp_max/pyproject_overrides.toml
 create mode 100644 poetryenvs/tfp_min/poetry.lock
 create mode 100644 poetryenvs/tfp_min/pyproject_overrides.toml
 create mode 100644 poetryenvs/torch_max/poetry.lock
 create mode 100644 poetryenvs/torch_max/pyproject_overrides.toml
 create mode 100644 poetryenvs/torch_min/poetry.lock
 create mode 100644 poetryenvs/torch_min/pyproject_overrides.toml
 create mode 100644 tests/check_shapes/integration/__init__.py
 create mode 100644 tests/check_shapes/integration/test_jax.py
 create mode 100644 tests/check_shapes/integration/test_np.py
 rename tests/check_shapes/{test_integration.py => integration/test_tf.py} (61%)
 create mode 100644 tests/check_shapes/integration/test_tfp.py
 create mode 100644 tests/check_shapes/integration/test_torch.py

diff --git a/.github/workflows/build_test_deploy.yml b/.github/workflows/build_test_deploy.yml
index e16c1e2c..aa84ae6b 100644
--- a/.github/workflows/build_test_deploy.yml
+++ b/.github/workflows/build_test_deploy.yml
@@ -23,14 +23,15 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        poetryenv: ["tf_min", "tf_max"]
+        framework: ["py", "np", "tf", "tfp", "jax", "torch"]
+        version: ["min", "max"]
         include:
-          - poetryenv: "tf_min"
+          - version: "min"
             python: "3.7"
-          - poetryenv: "tf_max"
+          - version: "max"
             python: "3.10"
 
-    name: test-${{ matrix.poetryenv }}
+    name: test-${{ matrix.framework }}-${{ matrix.version }}
     steps:
       - uses: actions/checkout@v3
       - uses: actions/setup-python@v4
@@ -38,8 +39,8 @@ jobs:
           python-version: ${{ matrix.python }}
       - run: pip install -r poetryenv_requirements.txt
       - run: curl -sSL https://install.python-poetry.org | python3 -
-      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv }} install
-      - run: ./poetryenv poetryenvs/${{ matrix.poetryenv }} run task test
+      - run: ./poetryenv poetryenvs/${{ matrix.framework }}_${{ matrix.version }} install
+      - run: ./poetryenv poetryenvs/${{ matrix.framework }}_${{ matrix.version }} run task test
 
   all-tests:
     needs: [test-base, test-versions]
diff --git a/RELEASE.md b/RELEASE.md
index 5feabbda..b73aae6e 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -50,8 +50,12 @@ This release contains contributions from:
 
 ## Major Features and Improvements
 
-* <INSERT MAJOR FEATURE HERE, USING MARKDOWN SYNTAX>
-* <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER>
+* Made `check_shapes` independent of tensor framework:
+  - Made NumPy optional.
+  - Made TensorFlow optional.
+  - Made TensorFlow-Probability optional.
+  - Added support for JAX.
+  - Added support for PyTorch.
 
 ## Bug Fixes and Other Changes
 
diff --git a/check_shapes/__init__.py b/check_shapes/__init__.py
index 62534d0d..f3cbfedf 100644
--- a/check_shapes/__init__.py
+++ b/check_shapes/__init__.py
@@ -32,8 +32,13 @@
 from .decorator import check_shapes
 from .error_contexts import ErrorContext
 from .inheritance import inherit_check_shapes
+from .integration.tf import install_tf_integration
+from .integration.torch import install_torch_integration
 from .shapes import get_shape, register_get_shape
 
+install_tf_integration()
+install_torch_integration()
+
 __version__ = "0.1.0"
 
 __all__ = [
diff --git a/check_shapes/base_types.py b/check_shapes/base_types.py
index 388090eb..6e10792b 100644
--- a/check_shapes/base_types.py
+++ b/check_shapes/base_types.py
@@ -14,11 +14,7 @@
 """
 Definitions of commonly used types.
 """
-from typing import TYPE_CHECKING, Any, Callable, Optional, Tuple, TypeVar, Union
-
-import numpy as np
-
-from .type_flags import GENERIC_NP_ARRAYS, NP_TYPE_CHECKING
+from typing import Any, Callable, Optional, Tuple, TypeVar
 
 C = TypeVar("C", bound=Callable[..., Any])
 
@@ -37,14 +33,3 @@
 
 Raise an exception if objects of that type can never have a shape.
 """
-
-if TYPE_CHECKING and (not NP_TYPE_CHECKING):  # pragma: no cover
-    AnyNDArray = Any
-else:
-    if GENERIC_NP_ARRAYS:
-        # It would be nice to use something more interesting than `Any` here, but it looks like
-        # the infrastructure in the rest of the ecosystem isn't really set up for this
-        # yet. Maybe when we get Python 3.11?
-        AnyNDArray = np.ndarray[Any, Any]  # type: ignore[misc]
-    else:
-        AnyNDArray = Union[np.ndarray]  # type: ignore[misc]
diff --git a/check_shapes/config.py b/check_shapes/config.py
index b59aa19a..50b35379 100644
--- a/check_shapes/config.py
+++ b/check_shapes/config.py
@@ -16,9 +16,21 @@
 """
 from contextlib import contextmanager
 from enum import Enum
-from typing import Iterator, Union
+from typing import Callable, Iterator, List, Union
 
-import tensorflow as tf
+IsCompiledMode = Callable[[], bool]
+
+
+_is_compiled_mode: List[IsCompiledMode] = []
+
+
+def add_is_compiled_mode(is_compiled_mode: IsCompiledMode) -> None:
+    """
+    Add a function for determining whether we are currently executing "compiled mode".
+
+    Used when func:`set_enable_check_shapes` is set to ``EAGER_MODE_ONLY``.
+    """
+    _is_compiled_mode.append(is_compiled_mode)
 
 
 class ShapeCheckingState(Enum):
@@ -49,7 +61,7 @@ def __bool__(self) -> bool:
             return True
         elif self is ShapeCheckingState.EAGER_MODE_ONLY:
             # pylint: disable=no-member
-            return not tf.inside_function()
+            return not any(is_compiled_mode() for is_compiled_mode in _is_compiled_mode)
         else:
             assert self is ShapeCheckingState.DISABLED, self
             return False
diff --git a/check_shapes/decorator.py b/check_shapes/decorator.py
index 78c682be..b78af0c9 100644
--- a/check_shapes/decorator.py
+++ b/check_shapes/decorator.py
@@ -15,11 +15,10 @@
 Decorator for checking the shapes of function using tf Tensors.
 """
 import inspect
+from abc import ABC, abstractmethod
 from functools import update_wrapper
 from typing import Any, Callable, Sequence, cast
 
-import tensorflow as tf
-
 from .accessors import set_check_shapes
 from .argument_ref import RESULT_TOKEN
 from .base_types import C
@@ -38,6 +37,32 @@
 from .specs import ParsedArgumentSpec
 
 
+class WrapperPostProcessor(ABC):
+    """
+    Hook for updating / modifying decorated / wrapped functions.
+    """
+
+    @abstractmethod
+    def on_wrap(
+        self,
+        func: Callable[..., Any],
+        wrapped: Callable[..., Any],
+        signature: inspect.Signature,
+        tf_decorator: bool = False,
+    ) -> Callable[..., Any]:
+        ...
+
+
+_wrapper_post_processors = []
+
+
+def add_wrapper_post_processor(post_processor: WrapperPostProcessor) -> None:
+    """
+    Add a hook for updating / modifying decorated / wrapped functions.
+    """
+    _wrapper_post_processors.append(post_processor)
+
+
 def null_check_shapes(func: C) -> C:
     """
     Annotates the given function so that it looks like it has shape checks, but without actually
@@ -155,19 +180,9 @@ def _check_specs(specs: Sequence[ParsedArgumentSpec]) -> None:
 
             return result
 
-        # Work-around for TensorFlow saved_model expecting methods to have a `self` argument:
-        if "self" in signature.parameters:
-
-            def wrapped_method(self: Any, *args: Any, **kwargs: Any) -> Any:
-                return wrapped_function(self, *args, **kwargs)
-
-            wrapped = wrapped_method
-        else:
-            wrapped = wrapped_function
-
-        # Make TensorFlow understand our decoration:
-        if tf_decorator:
-            tf.compat.v1.flags.tf_decorator.make_decorator(func, wrapped)
+        wrapped = wrapped_function
+        for post_processor in _wrapper_post_processors:
+            wrapped = post_processor.on_wrap(func, wrapped, signature, tf_decorator)
 
         update_wrapper(wrapped, func)
         set_check_shapes(wrapped, _check_shapes)
diff --git a/check_shapes/integration/__init__.py b/check_shapes/integration/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/check_shapes/integration/tf.py b/check_shapes/integration/tf.py
new file mode 100644
index 00000000..19907362
--- /dev/null
+++ b/check_shapes/integration/tf.py
@@ -0,0 +1,94 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-outside-toplevel
+
+import inspect
+from typing import Any, Callable
+
+from ..base_types import Shape
+from ..config import add_is_compiled_mode
+from ..decorator import WrapperPostProcessor, add_wrapper_post_processor
+from ..error_contexts import ErrorContext
+from ..shapes import register_get_shape
+
+
+def install_tf_integration() -> None:
+    """
+    Install various hooks to support TensorFlow.
+
+    If TensorFlow is not installed in this environment this function does nothing.
+    """
+    try:
+        import tensorflow as tf
+    except ImportError:
+        return  # TensorFlow not installed - don't install integrations.
+
+    ########################################
+    # Support for getting shapes of tf types
+    ########################################
+
+    tf_types = [tf.Tensor, tf.Variable]
+
+    try:
+        import tensorflow_probability as tfp
+
+        tf_types.append(tfp.util.DeferredTensor)
+    except ImportError:
+        pass  # TensorFlow probability not installed - that's ok.
+
+    def get_tensorflow_shape(shaped: Any, context: ErrorContext) -> Shape:
+        shape = shaped.shape
+        if not shape:
+            return None
+        return tuple(shape)
+
+    for tf_type in tf_types:
+        register_get_shape(tf_type)(get_tensorflow_shape)
+
+    ################################################
+    # Support for ShapeCheckingState.EAGER_MODE_ONLY
+    ################################################
+
+    add_is_compiled_mode(tf.inside_function)
+
+    ########################################################
+    # Work-around TensorFlow's many problems with decorators
+    ########################################################
+
+    class TfWrapperPostProcessor(WrapperPostProcessor):
+        def on_wrap(
+            self,
+            func: Callable[..., Any],
+            wrapped: Callable[..., Any],
+            signature: inspect.Signature,
+            tf_decorator: bool = False,
+        ) -> Callable[..., Any]:
+            # Work-around for TensorFlow saved_model expecting methods to have a `self` argument:
+            if "self" in signature.parameters:
+
+                wrapped_function = wrapped
+
+                def wrapped_method(self: Any, *args: Any, **kwargs: Any) -> Any:
+                    return wrapped_function(self, *args, **kwargs)
+
+                wrapped = wrapped_method
+
+            # Make TensorFlow understand our decoration:
+            if tf_decorator:
+                tf.compat.v1.flags.tf_decorator.make_decorator(func, wrapped)
+
+            return wrapped
+
+    add_wrapper_post_processor(TfWrapperPostProcessor())
diff --git a/check_shapes/integration/torch.py b/check_shapes/integration/torch.py
new file mode 100644
index 00000000..8c275f4b
--- /dev/null
+++ b/check_shapes/integration/torch.py
@@ -0,0 +1,35 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-outside-toplevel
+
+from ..base_types import Shape
+from ..error_contexts import ErrorContext
+from ..shapes import register_get_shape
+
+
+def install_torch_integration() -> None:
+    """
+    Install various hooks to support PyTorch.
+
+    If PyTorch is not installed in this environment this function does nothing.
+    """
+    try:
+        import torch
+    except ImportError:
+        return  # PyTorch not installed - don't install integrations.
+
+    @register_get_shape(torch.Tensor)
+    def get_torch_shape(shaped: torch.Tensor, context: ErrorContext) -> Shape:
+        return tuple(shaped.shape)
diff --git a/check_shapes/mypy_flags.py b/check_shapes/mypy_flags.py
deleted file mode 100644
index 63913660..00000000
--- a/check_shapes/mypy_flags.py
+++ /dev/null
@@ -1,25 +0,0 @@
-# Copyright 2022 The GPflow Contributors. All Rights Reserved.
-#
-# 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.
-"""
-Code for printing flags for mypy, depending on library versions.
-"""
-from .type_flags import compute_mypy_flags
-
-
-def print_mypy_flags() -> None:
-    print(compute_mypy_flags())
-
-
-if __name__ == "__main__":
-    print_mypy_flags()
diff --git a/check_shapes/py.typed b/check_shapes/py.typed
new file mode 100644
index 00000000..e69de29b
diff --git a/check_shapes/shapes.py b/check_shapes/shapes.py
index b3055796..9beba32d 100644
--- a/check_shapes/shapes.py
+++ b/check_shapes/shapes.py
@@ -15,24 +15,16 @@
 Code for extracting shapes from object.
 """
 import inspect
-from typing import TYPE_CHECKING, Any, Callable, Dict, Sequence, Tuple, Type, Union
-
-import numpy as np
-import tensorflow as tf
-import tensorflow_probability as tfp
+from typing import Any, Callable, Dict, Sequence, Type
 
 from .base_types import Shape
 from .error_contexts import ErrorContext, IndexContext, ObjectTypeContext, StackContext
 from .exceptions import NoShapeError
 
-if TYPE_CHECKING:  # pragma: no cover
-    # Avoid cyclic imports:
-    from .base_types import AnyNDArray
-else:
-    AnyNDArray = Any
 GetShape = Callable[[Any, ErrorContext], Shape]
 
 
+_GET_SHAPE_SENTINEL = object()
 _GET_SHAPES: Dict[Type[Any], GetShape] = {}
 
 
@@ -78,7 +70,14 @@ def get_shape(shaped: Any, context: ErrorContext) -> Shape:
         if getter is not None:
             return getter(shaped, context)
 
-    raise NoShapeError(StackContext(context, ObjectTypeContext(shaped)))
+    shape = getattr(shaped, "shape", _GET_SHAPE_SENTINEL)
+
+    if shape == _GET_SHAPE_SENTINEL:
+        raise NoShapeError(StackContext(context, ObjectTypeContext(shaped)))
+
+    assert shape is None or isinstance(shape, tuple), shape
+
+    return shape
 
 
 @register_get_shape(bool)
@@ -100,21 +99,3 @@ def get_sequence_shape(shaped: Sequence[Any], context: ErrorContext) -> Shape:
     if child_shape is None:
         return None
     return (len(shaped),) + child_shape
-
-
-@register_get_shape(np.ndarray)
-def get_ndarray_shape(shaped: AnyNDArray, context: ErrorContext) -> Shape:
-    result: Tuple[int, ...] = shaped.shape
-    return result
-
-
-@register_get_shape(tf.Tensor)
-@register_get_shape(tf.Variable)
-@register_get_shape(tfp.util.DeferredTensor)
-def get_tensorflow_shape(
-    shaped: Union[tf.Tensor, tf.Variable, tfp.util.DeferredTensor], context: ErrorContext
-) -> Shape:
-    shape = shaped.shape
-    if not shape:
-        return None
-    return tuple(shape)
diff --git a/check_shapes/type_flags.py b/check_shapes/type_flags.py
deleted file mode 100644
index 6500f592..00000000
--- a/check_shapes/type_flags.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# Copyright 2022 The GPflow Contributors. All Rights Reserved.
-#
-# 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.
-"""
-Code for setting type hints, depending on library versions.
-"""
-import sys
-
-from numpy import __version__ as np_version
-from packaging.version import Version
-
-NP_VERSION = Version(np_version)
-
-NP_TYPE_CHECKING = False
-"""
-Whether to type-check numpy arrays at all. Defaults to False, because we don't know which
-versions a client might use.
-"""
-
-GENERIC_NP_ARRAYS = (sys.version_info >= (3, 9)) and (NP_VERSION >= Version("1.22.0"))
-"""
-Whether to use generic numpy arrays. This is not applied at all, if type checking and not
-`NP_TYPE_CHECKING`.
-"""
-
-
-def compute_mypy_flags() -> str:  # pragma: no cover
-    # pylint: disable=import-outside-toplevel
-    from mypy.version import __version__ as mypy_version
-
-    MYPY_VERSION = Version(mypy_version)
-
-    flags = []
-
-    def set_always(variable: str, value: bool) -> None:
-        if value:
-            flags.append("--always-true")
-        else:
-            flags.append("--always-false")
-        flags.append(variable)
-
-    set_always("NP_TYPE_CHECKING", True)
-    set_always("GENERIC_NP_ARRAYS", NP_VERSION >= Version("1.21.0"))
-    if MYPY_VERSION >= Version("0.940"):
-        flags.extend(["--enable-error-code", "ignore-without-code"])
-
-    return " ".join(flags)
diff --git a/docs/index.rst b/docs/index.rst
index f52e3f37..465f8033 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -26,7 +26,8 @@ Example:
 
 Main features include:
 
-* Supports NumPy and TensorFlow out-of-the-box, and easy to extend to other frameworks.
+* Supports NumPy, TensorFlow, JAX and PyTorch out-of-the-box, and easy to extend to other
+  frameworks.
 * Checking the shapes of function arguments and return types, using a decorator.
 * Checking the shapes of local values, using a function.
 * Constant- and variable size dimensions.
@@ -475,14 +476,18 @@ This library has built-in support for checking the shapes of:
 * NumPy ``ndarray``\ s.
 * TensorFlow ``Tensor``\ s and ``Variable``\ s.
 * TensorFlow Probability ``DeferredTensor``\ s, including ``TransformedVariable``.
+* JAX ``ndarray``\ s.
+* PyTorch ``Tensor``\ s.
 
 
 Shapes of custom types
 ----------------------
 
 :mod:`check_shapes` uses the function :func:`get_shape` to extract the shape of an object.
-You can use :func:`register_get_shape` to extend :func:`get_shape` to extract shapes for you own
-custom types:
+:func:`get_shape` will try to read a property of the object with name ``shape``, which should have
+type ``Optional[Tuple[Optional[int], ...]]``. If you have a custom type that does not have such a
+property you can use :func:`register_get_shape` to extend :func:`get_shape` to extract the shape of
+your type:
 
 .. literalinclude:: /examples/test_check_shapes_examples.py
    :start-after: [custom_type]
diff --git a/poetry.lock b/poetry.lock
index df7ee990..366563fe 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,11 +1,3 @@
-[[package]]
-name = "absl-py"
-version = "1.2.0"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "alabaster"
 version = "0.7.12"
@@ -36,17 +28,6 @@ typed-ast = {version = ">=1.4.0,<2.0", markers = "implementation_name == \"cpyth
 typing-extensions = {version = ">=3.10", markers = "python_version < \"3.10\""}
 wrapt = ">=1.11,<2"
 
-[[package]]
-name = "astunparse"
-version = "1.6.3"
-description = "An AST unparser for Python"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = ">=1.6.1,<2.0"
-
 [[package]]
 name = "atomicwrites"
 version = "1.4.1"
@@ -102,19 +83,11 @@ typing-extensions = ">=3.7.4"
 colorama = ["colorama (>=0.4.3)"]
 d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
 
-[[package]]
-name = "cachetools"
-version = "5.2.0"
-description = "Extensible memoizing collections and decorators"
-category = "main"
-optional = false
-python-versions = "~=3.7"
-
 [[package]]
 name = "certifi"
 version = "2022.9.24"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -122,7 +95,7 @@ python-versions = ">=3.6"
 name = "charset-normalizer"
 version = "2.1.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.0"
 
@@ -141,14 +114,6 @@ python-versions = ">=3.6"
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
-[[package]]
-name = "cloudpickle"
-version = "2.2.0"
-description = "Extended pickling support for Python objects"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "colorama"
 version = "0.4.5"
@@ -157,14 +122,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
-[[package]]
-name = "decorator"
-version = "5.1.1"
-description = "Decorators for Humans"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -176,14 +133,6 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*,
 [package.extras]
 graph = ["objgraph (>=1.7.2)"]
 
-[[package]]
-name = "dm-tree"
-version = "0.1.7"
-description = "Tree is a library for working with nested data structures."
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "docutils"
 version = "0.19"
@@ -192,98 +141,11 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
-[[package]]
-name = "flatbuffers"
-version = "22.9.24"
-description = "The FlatBuffers serialization format for Python"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "gast"
-version = "0.4.0"
-description = "Python AST that abstracts the underlying Python version"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[[package]]
-name = "google-auth"
-version = "2.12.0"
-description = "Google Authentication Library"
-category = "main"
-optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
-
-[package.dependencies]
-cachetools = ">=2.0.0,<6.0"
-pyasn1-modules = ">=0.2.1"
-rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
-six = ">=1.9.0"
-
-[package.extras]
-aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"]
-enterprise_cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
-pyopenssl = ["pyopenssl (>=20.0.0)"]
-reauth = ["pyu2f (>=0.1.5)"]
-
-[[package]]
-name = "google-auth-oauthlib"
-version = "0.4.6"
-description = "Google Authentication Library"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-google-auth = ">=1.0.0"
-requests-oauthlib = ">=0.7.0"
-
-[package.extras]
-tool = ["click (>=6.0.0)"]
-
-[[package]]
-name = "google-pasta"
-version = "0.2.0"
-description = "pasta is an AST-based Python refactoring library"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = "*"
-
-[[package]]
-name = "grpcio"
-version = "1.49.1"
-description = "HTTP/2-based RPC framework"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-six = ">=1.5.2"
-
-[package.extras]
-protobuf = ["grpcio-tools (>=1.49.1)"]
-
-[[package]]
-name = "h5py"
-version = "3.7.0"
-description = "Read and write HDF5 files from Python"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-numpy = ">=1.14.5"
-
 [[package]]
 name = "idna"
 version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
@@ -297,9 +159,9 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "importlib-metadata"
-version = "4.12.0"
+version = "5.0.0"
 description = "Read metadata from Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
@@ -308,9 +170,9 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
 perf = ["ipython"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
 
 [[package]]
 name = "iniconfig"
@@ -348,31 +210,6 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
-[[package]]
-name = "keras"
-version = "2.10.0"
-description = "Deep learning for humans."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "keras-preprocessing"
-version = "1.1.2"
-description = "Easy data preprocessing and data augmentation for deep learning models"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-numpy = ">=1.9.1"
-six = ">=1.9.0"
-
-[package.extras]
-tests = ["pytest-cov", "pytest-xdist", "pytest", "keras", "tensorflow", "pillow", "pandas"]
-pep8 = ["flake8"]
-image = ["Pillow (>=5.2.0)", "scipy (>=0.14)"]
-
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -394,33 +231,11 @@ category = "dev"
 optional = false
 python-versions = ">=3.6"
 
-[[package]]
-name = "libclang"
-version = "14.0.6"
-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."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "markdown"
-version = "3.4.1"
-description = "Python implementation of Markdown."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
-
-[package.extras]
-testing = ["coverage", "pyyaml"]
-
 [[package]]
 name = "markupsafe"
 version = "2.1.1"
 description = "Safely add untrusted strings to HTML/XML markup."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
@@ -467,47 +282,11 @@ category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "numpy"
-version = "1.21.6"
-description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
-optional = false
-python-versions = ">=3.7,<3.11"
-
-[[package]]
-name = "oauthlib"
-version = "3.2.1"
-description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-rsa = ["cryptography (>=3.0.0)"]
-signals = ["blinker (>=1.4.0)"]
-signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
-
-[[package]]
-name = "opt-einsum"
-version = "3.3.0"
-description = "Optimizing numpys einsum function"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-numpy = ">=1.7"
-
-[package.extras]
-docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
-tests = ["pytest", "pytest-cov", "pytest-pep8"]
-
 [[package]]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -549,14 +328,6 @@ importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 testing = ["pytest-benchmark", "pytest"]
 dev = ["tox", "pre-commit"]
 
-[[package]]
-name = "protobuf"
-version = "3.19.5"
-description = "Protocol Buffers"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
 [[package]]
 name = "psutil"
 version = "5.9.2"
@@ -576,25 +347,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
-[[package]]
-name = "pyasn1"
-version = "0.4.8"
-description = "ASN.1 types and codecs"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "pyasn1-modules"
-version = "0.2.8"
-description = "A collection of ASN.1-based protocols modules."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-pyasn1 = ">=0.4.6,<0.5.0"
-
 [[package]]
 name = "pygments"
 version = "2.13.0"
@@ -631,7 +383,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -662,7 +414,7 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
 
 [[package]]
 name = "pytz"
-version = "2022.2.1"
+version = "2022.4"
 description = "World timezone definitions, modern and historical"
 category = "dev"
 optional = false
@@ -688,7 +440,7 @@ python-versions = ">=3.6"
 name = "requests"
 version = "2.28.1"
 description = "Python HTTP for Humans."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7, <4"
 
@@ -702,40 +454,6 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "requests-oauthlib"
-version = "1.3.1"
-description = "OAuthlib authentication support for Requests."
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.dependencies]
-oauthlib = ">=3.0.0"
-requests = ">=2.0.0"
-
-[package.extras]
-rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
-
-[[package]]
-name = "rsa"
-version = "4.9"
-description = "Pure-Python RSA implementation"
-category = "main"
-optional = false
-python-versions = ">=3.6,<4"
-
-[package.dependencies]
-pyasn1 = ">=0.1.3"
-
-[[package]]
-name = "six"
-version = "1.16.0"
-description = "Python 2 and 3 compatibility utilities"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
-
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -746,7 +464,7 @@ python-versions = "*"
 
 [[package]]
 name = "sphinx"
-version = "5.2.2"
+version = "5.2.3"
 description = "Python documentation generator"
 category = "dev"
 optional = false
@@ -881,129 +599,6 @@ mslex = {version = ">=0.3.0,<0.4.0", markers = "sys_platform == \"win32\""}
 psutil = ">=5.7.2,<6.0.0"
 tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version >= \"3.7\" and python_version < \"4.0\""}
 
-[[package]]
-name = "tensorboard"
-version = "2.10.1"
-description = "TensorBoard lets you watch Tensors Flow"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-absl-py = ">=0.4"
-google-auth = ">=1.6.3,<3"
-google-auth-oauthlib = ">=0.4.1,<0.5"
-grpcio = ">=1.24.3"
-markdown = ">=2.6.8"
-numpy = ">=1.12.0"
-protobuf = ">=3.9.2,<3.20"
-requests = ">=2.21.0,<3"
-tensorboard-data-server = ">=0.6.0,<0.7.0"
-tensorboard-plugin-wit = ">=1.6.0"
-werkzeug = ">=1.0.1"
-
-[[package]]
-name = "tensorboard-data-server"
-version = "0.6.1"
-description = "Fast data loading for TensorBoard"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[[package]]
-name = "tensorboard-plugin-wit"
-version = "1.8.1"
-description = "What-If Tool TensorBoard plugin."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "tensorflow"
-version = "2.10.0"
-description = "TensorFlow is an open source machine learning framework for everyone."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-absl-py = ">=1.0.0"
-astunparse = ">=1.6.0"
-flatbuffers = ">=2.0"
-gast = ">=0.2.1,<=0.4.0"
-google-pasta = ">=0.1.1"
-grpcio = ">=1.24.3,<2.0"
-h5py = ">=2.9.0"
-keras = ">=2.10.0,<2.11"
-keras-preprocessing = ">=1.1.1"
-libclang = ">=13.0.0"
-numpy = ">=1.20"
-opt-einsum = ">=2.3.2"
-packaging = "*"
-protobuf = ">=3.9.2,<3.20"
-six = ">=1.12.0"
-tensorboard = ">=2.10,<2.11"
-tensorflow-estimator = ">=2.10.0,<2.11"
-tensorflow-io-gcs-filesystem = ">=0.23.1"
-termcolor = ">=1.1.0"
-typing-extensions = ">=3.6.6"
-wrapt = ">=1.11.0"
-
-[[package]]
-name = "tensorflow-estimator"
-version = "2.10.0"
-description = "TensorFlow Estimator."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[[package]]
-name = "tensorflow-io-gcs-filesystem"
-version = "0.27.0"
-description = "TensorFlow IO"
-category = "main"
-optional = false
-python-versions = ">=3.7, <3.11"
-
-[package.extras]
-tensorflow = ["tensorflow (>=2.10.0,<2.11.0)"]
-tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.10.0,<2.11.0)"]
-tensorflow-cpu = ["tensorflow-cpu (>=2.10.0,<2.11.0)"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.10.0,<2.11.0)"]
-tensorflow-rocm = ["tensorflow-rocm (>=2.10.0,<2.11.0)"]
-
-[[package]]
-name = "tensorflow-probability"
-version = "0.18.0"
-description = "Probabilistic modeling and statistical inference in TensorFlow"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-absl-py = "*"
-cloudpickle = ">=1.3"
-decorator = "*"
-dm-tree = "*"
-gast = ">=0.3.2"
-numpy = ">=1.13.3"
-six = ">=1.10.0"
-
-[package.extras]
-jax = ["jax", "jaxlib"]
-tfds = ["tensorflow-datasets (>=2.2.0)"]
-
-[[package]]
-name = "termcolor"
-version = "2.0.1"
-description = "ANSI color formatting for output in terminal"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.extras]
-tests = ["pytest-cov", "pytest"]
-
 [[package]]
 name = "toml"
 version = "0.10.2"
@@ -1040,13 +635,13 @@ python-versions = ">=3.6"
 name = "typing-extensions"
 version = "4.3.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [[package]]
 name = "unidecode"
-version = "1.3.5"
+version = "1.3.6"
 description = "ASCII transliterations of Unicode text"
 category = "dev"
 optional = false
@@ -1056,7 +651,7 @@ python-versions = ">=3.5"
 name = "urllib3"
 version = "1.26.12"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
 
@@ -1065,25 +660,11 @@ brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
-[[package]]
-name = "werkzeug"
-version = "2.2.2"
-description = "The comprehensive WSGI web application library."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-MarkupSafe = ">=2.1.1"
-
-[package.extras]
-watchdog = ["watchdog"]
-
 [[package]]
 name = "wrapt"
 version = "1.14.1"
 description = "Module for decorators, wrappers and monkey patching."
-category = "main"
+category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
@@ -1091,7 +672,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 name = "zipp"
 version = "3.8.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
 
@@ -1102,13 +683,9 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "b953616474d0f92a53f1ce91baae17bd024c8ba3d12825b355737db374b4cfa4"
+content-hash = "59ff57f5e0928ef7a043161fcfb0810f6db0a41f0f55cbc681d9a250ea05de4e"
 
 [metadata.files]
-absl-py = [
-    {file = "absl-py-1.2.0.tar.gz", hash = "sha256:f568809938c49abbda89826223c992b630afd23c638160ad7840cfe347710d97"},
-    {file = "absl_py-1.2.0-py3-none-any.whl", hash = "sha256:5d15f85b8cc859c6245bc9886ba664460ed96a6fee895416caa37d669ee74a9a"},
-]
 alabaster = [
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     {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
@@ -1121,10 +698,6 @@ astroid = [
     {file = "astroid-2.11.7-py3-none-any.whl", hash = "sha256:86b0a340a512c65abf4368b80252754cda17c02cdbbd3f587dddf98112233e7b"},
     {file = "astroid-2.11.7.tar.gz", hash = "sha256:bb24615c77f4837c707669d16907331374ae8a964650a66999da3f5ca68dc946"},
 ]
-astunparse = [
-    {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
-    {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
-]
 atomicwrites = [
     {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
 ]
@@ -1139,10 +712,6 @@ babel = [
 black = [
     {file = "black-20.8b1.tar.gz", hash = "sha256:1c02557aa099101b9d21496f8a914e9ed2222ef70336404eeeac8edba836fbea"},
 ]
-cachetools = [
-    {file = "cachetools-5.2.0-py3-none-any.whl", hash = "sha256:f9f17d2aec496a9aa6b76f53e3b614c965223c061982d434d160f930c698a9db"},
-    {file = "cachetools-5.2.0.tar.gz", hash = "sha256:6a94c6402995a99c3970cc7e4884bb60b4a8639938157eeed436098bf9831757"},
-]
 certifi = [
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     {file = "certifi-2022.9.24.tar.gz", hash = "sha256:0d9c601124e5a6ba9712dbc60d9c53c21e34f5f641fe83002317394311bdce14"},
@@ -1155,139 +724,18 @@ click = [
     {file = "click-8.0.4-py3-none-any.whl", hash = "sha256:6a7a62563bbfabfda3a38f3023a1db4a35978c0abd76f6c9605ecd6554d6d9b1"},
     {file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"},
 ]
-cloudpickle = [
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-    {file = "cloudpickle-2.2.0.tar.gz", hash = "sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f"},
-]
 colorama = [
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     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
-decorator = [
-    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
-    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
-]
 dill = [
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     {file = "dill-0.3.5.1.tar.gz", hash = "sha256:d75e41f3eff1eee599d738e76ba8f4ad98ea229db8b085318aa2b3333a208c86"},
 ]
-dm-tree = [
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-    {file = "pyasn1_modules-0.2.8-py3.5.egg", hash = "sha256:426edb7a5e8879f1ec54a1864f16b882c2837bfd06eee62f2c982315ee2473ed"},
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-    {file = "pyasn1_modules-0.2.8-py3.7.egg", hash = "sha256:c29a5e5cc7a3f05926aff34e097e84f8589cd790ce0ed41b67aed6857b26aafd"},
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 pygments = [
     {file = "Pygments-2.13.0-py3-none-any.whl", hash = "sha256:f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42"},
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@@ -1628,8 +954,8 @@ pytest = [
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
 pytz = [
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-    {file = "pytz-2022.2.1.tar.gz", hash = "sha256:cea221417204f2d1a2aa03ddae3e867921971d0d76f14d87abb4414415bbdcf5"},
+    {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
+    {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
 ]
 pyyaml = [
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@@ -1767,25 +1093,13 @@ requests = [
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 ]
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-    {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"},
-]
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-    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
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-six = [
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-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
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 snowballstemmer = [
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     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
 ]
 sphinx = [
-    {file = "Sphinx-5.2.2.tar.gz", hash = "sha256:7225c104dc06169eb73b061582c4bc84a9594042acae6c1582564de274b7df2f"},
-    {file = "sphinx-5.2.2-py3-none-any.whl", hash = "sha256:9150a8ed2e98d70e778624373f183c5498bf429dd605cf7b63e80e2a166c35a5"},
+    {file = "Sphinx-5.2.3.tar.gz", hash = "sha256:5b10cb1022dac8c035f75767799c39217a05fc0fe2d6fe5597560d38e44f0363"},
+    {file = "sphinx-5.2.3-py3-none-any.whl", hash = "sha256:7abf6fabd7b58d0727b7317d5e2650ef68765bbe0ccb63c8795fa8683477eaa2"},
 ]
 sphinx-autoapi = [
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@@ -1819,59 +1133,6 @@ taskipy = [
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     {file = "taskipy-1.10.3.tar.gz", hash = "sha256:112beaf21e3d5569950b99162a1de003fa885fabee9e450757a6b874be914877"},
 ]
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-]
-tensorboard-data-server = [
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-    {file = "tensorboard_data_server-0.6.1-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fa8cef9be4fcae2f2363c88176638baf2da19c5ec90addb49b1cde05c95c88ee"},
-    {file = "tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl", hash = "sha256:d8237580755e58eff68d1f3abefb5b1e39ae5c8b127cc40920f9c4fb33f4b98a"},
-]
-tensorboard-plugin-wit = [
-    {file = "tensorboard_plugin_wit-1.8.1-py3-none-any.whl", hash = "sha256:ff26bdd583d155aa951ee3b152b3d0cffae8005dc697f72b44a8e8c2a77a8cbe"},
-]
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-    {file = "tensorflow-2.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e1e898bc1df521af9a8bfe0e511124379a6414083234ec67c6ab212ad12b2f"},
-    {file = "tensorflow-2.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e129114dc529e63af9c419b5917b3407d0d26a4c8b73e114f601a175a7eb0477"},
-    {file = "tensorflow-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:0a3b58d90fadb5bdf81a964bea73bb89019a9d1e9ac12de75375c8f65e0d7570"},
-    {file = "tensorflow-2.10.0-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:0701da16a3d6d34763cd9ced6467cee24c02c9abf0d1a48ba59ea5a8d0421cec"},
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-    {file = "tensorflow_io_gcs_filesystem-0.27.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ed17c281a28df9ab0547cdf166e885208d2a43db0f0f8fbe66addc4e23ee36ff"},
-    {file = "tensorflow_io_gcs_filesystem-0.27.0-cp39-cp39-win_amd64.whl", hash = "sha256:152f4c20e5341d486df35f7ce9751a441ed89b43c1036491cd2b30a742fbe20a"},
-]
-tensorflow-probability = [
-    {file = "tensorflow_probability-0.18.0-py2.py3-none-any.whl", hash = "sha256:80d57e7792c78586f12255ab4a7c359b7e86bc06d487fd629119d9e650624a18"},
-]
-termcolor = [
-    {file = "termcolor-2.0.1-py3-none-any.whl", hash = "sha256:7e597f9de8e001a3208c4132938597413b9da45382b6f1d150cff8d062b7aaa3"},
-    {file = "termcolor-2.0.1.tar.gz", hash = "sha256:6b2cf769e93364a2676e1de56a7c0cff2cf5bd07f37e9cc80b0dd6320ebfe388"},
-]
 toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -1915,17 +1176,13 @@ typing-extensions = [
     {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
 ]
 unidecode = [
-    {file = "Unidecode-1.3.5-py3-none-any.whl", hash = "sha256:d30c896583ae2ade4bfd2a6591a7102a51ddcd3c0f05bbf225ffbfe658973141"},
-    {file = "Unidecode-1.3.5.tar.gz", hash = "sha256:c4cad1b85ec76be67be7096bbaa77e539e6de12ff9a59c1d5d567198582e4bbe"},
+    {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
+    {file = "Unidecode-1.3.6.tar.gz", hash = "sha256:fed09cf0be8cf415b391642c2a5addfc72194407caee4f98719e40ec2a72b830"},
 ]
 urllib3 = [
     {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
     {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
 ]
-werkzeug = [
-    {file = "Werkzeug-2.2.2-py3-none-any.whl", hash = "sha256:f979ab81f58d7318e064e99c4506445d60135ac5cd2e177a2de0089bfd4c9bd5"},
-    {file = "Werkzeug-2.2.2.tar.gz", hash = "sha256:7ea2d48322cc7c0f8b3a215ed73eabd7b5d75d0b50e31ab006286ccff9e00b8f"},
-]
 wrapt = [
     {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"},
diff --git a/poetryenv b/poetryenv
index 87fe4376..82a8a70e 100755
--- a/poetryenv
+++ b/poetryenv
@@ -27,6 +27,11 @@ Some concrete examples::
 
     ./poetryenv poetryenvs/tf_min/ update
     ./poetryenv poetryenvs/tf_min/ run task test
+
+You can use the `-r` flag to recursively find all environments and execute the same command::
+
+    ./poetryenv -r poetryenvs update
+    ./poetryenv -r poetryenvs run task test
 """
 import argparse
 import subprocess
@@ -119,30 +124,65 @@ def _update_pyproject_toml(overrides_path: Path) -> None:
     _write_toml(pyproject, _PYPROJECT_TOML)
 
 
-def poetryenv(env_dir: Path, poetry_args: List[str]) -> int:
+def _find_envs(root: Path) -> List[Path]:
+    assert root.is_dir()
+    result = []
+    if (root / "pyproject_overrides.toml").exists():
+        result.append(root)
+    for child in root.iterdir():
+        if child.is_dir():
+            result.extend(_find_envs(child))
+    return result
+
+
+def poetryenv(root_env_dir: Path, recursive: bool, poetry_args: List[str]) -> int:
     assert _PYPROJECT_TOML.is_file()
-    assert env_dir.is_dir()
+    assert root_env_dir.is_dir()
+
+    env_dirs = _find_envs(root_env_dir) if recursive else [root_env_dir]
 
-    with ExitStack() as stack:
-        stack.enter_context(_backup_dir())
-        stack.enter_context(_shuffle(_PYPROJECT_TOML, env_dir, derived=False))
-        stack.enter_context(_shuffle(_POETRY_LOCK, env_dir, derived=True))
-        stack.enter_context(_shuffle(_VENV_DIR, env_dir, derived=True))
+    for env_dir in env_dirs:
+        if recursive:
+            print("Using environment:", env_dir)
+        with ExitStack() as stack:
+            stack.enter_context(_backup_dir())
+            stack.enter_context(_shuffle(_PYPROJECT_TOML, env_dir, derived=False))
+            stack.enter_context(_shuffle(_POETRY_LOCK, env_dir, derived=True))
+            stack.enter_context(_shuffle(_VENV_DIR, env_dir, derived=True))
 
-        env_pyproject_overrides_toml = env_dir / "pyproject_overrides.toml"
-        _update_pyproject_toml(env_pyproject_overrides_toml)
+            env_pyproject_overrides_toml = env_dir / "pyproject_overrides.toml"
+            _update_pyproject_toml(env_pyproject_overrides_toml)
 
-        command = " ".join(["poetry"] + poetry_args)
-        returncode = subprocess.run(command, shell=True, check=False).returncode
-    return returncode
+            command = " ".join(["poetry"] + poetry_args)
+            returncode = subprocess.run(command, shell=True, check=False).returncode
+        if returncode != 0:
+            if recursive:
+                print("Stopping due to error from environment:", env_dir)
+            return returncode
+    return 0
 
 
 def main() -> None:
     parser = argparse.ArgumentParser(description="Run poetry under alternative environments")
-    parser.add_argument("env_dir", type=Path, help="Directory containing the environment to use.")
-    parser.add_argument("poetry_args", nargs=argparse.REMAINDER, help="Command to pass to poetry.")
+    parser.add_argument(
+        "env_dir",
+        type=Path,
+        help="Directory containing the environment to use.",
+    )
+    parser.add_argument(
+        "--recursive",
+        "-r",
+        action="store_true",
+        help="If set env_dir is searched recursively"
+        " and poetry is executed for envirenments found.",
+    )
+    parser.add_argument(
+        "poetry_args",
+        nargs=argparse.REMAINDER,
+        help="Command to pass to poetry.",
+    )
     args = parser.parse_args()
-    sys.exit(poetryenv(args.env_dir, args.poetry_args))
+    sys.exit(poetryenv(args.env_dir, args.recursive, args.poetry_args))
 
 
 if __name__ == "__main__":
diff --git a/poetryenvs/jax_max/poetry.lock b/poetryenvs/jax_max/poetry.lock
new file mode 100644
index 00000000..2c4ed650
--- /dev/null
+++ b/poetryenvs/jax_max/poetry.lock
@@ -0,0 +1,1440 @@
+[[package]]
+name = "absl-py"
+version = "1.2.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "astroid"
+version = "2.12.10"
+description = "An abstract syntax tree for Python with inference support."
+category = "dev"
+optional = false
+python-versions = ">=3.7.2"
+
+[package.dependencies]
+lazy-object-proxy = ">=1.4.0"
+wrapt = {version = ">=1.11,<2", markers = "python_version < \"3.11\""}
+
+[[package]]
+name = "atomicwrites"
+version = "1.4.1"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "attrs"
+version = "22.1.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
+
+[[package]]
+name = "babel"
+version = "2.10.3"
+description = "Internationalization utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pytz = ">=2015.7"
+
+[[package]]
+name = "black"
+version = "20.8b1"
+description = "The uncompromising code formatter."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+appdirs = "*"
+click = ">=7.1.2"
+mypy-extensions = ">=0.4.3"
+pathspec = ">=0.6,<1"
+regex = ">=2020.1.8"
+toml = ">=0.10.1"
+typed-ast = ">=1.4.0"
+typing-extensions = ">=3.7.4"
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
+
+[[package]]
+name = "certifi"
+version = "2022.9.24"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "charset-normalizer"
+version = "2.1.1"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "dev"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
+
+[[package]]
+name = "click"
+version = "8.0.4"
+description = "Composable command line interface toolkit"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "colorama"
+version = "0.4.5"
+description = "Cross-platform colored terminal text."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "dill"
+version = "0.3.5.1"
+description = "serialize all of python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
+[[package]]
+name = "docutils"
+version = "0.19"
+description = "Docutils -- Python Documentation Utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "etils"
+version = "0.8.0"
+description = "Collection of common python utils"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+etils = {version = "*", extras = ["epy"], optional = true, markers = "extra == \"epath\""}
+importlib_resources = {version = "*", optional = true, markers = "extra == \"epath\""}
+typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\""}
+zipp = {version = "*", optional = true, markers = "extra == \"epath\""}
+
+[package.extras]
+lazy-imports = ["etils"]
+etree-tf = ["etils", "tf-nightly"]
+etree-jax = ["etils", "jax"]
+etree-dm = ["etils", "dm-tree"]
+etree = ["etils", "etils", "etils", "etils"]
+etqdm = ["etils", "tqdm", "absl-py"]
+epy = ["typing-extensions"]
+epath = ["etils", "zipp", "typing-extensions", "importlib-resources"]
+enp = ["etils", "numpy"]
+edc = ["etils"]
+ecolab = ["etils", "etils", "mediapy", "numpy", "jupyter"]
+dev = ["chex", "yapf", "pylint (>=2.6.0)", "pytest-xdist", "pytest-subtests", "pytest"]
+array-types = ["etils"]
+all = ["etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils"]
+
+[[package]]
+name = "idna"
+version = "3.4"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "importlib-resources"
+version = "5.9.0"
+description = "Read resources from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+
+[[package]]
+name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "isort"
+version = "5.10.1"
+description = "A Python utility / library to sort Python imports."
+category = "dev"
+optional = false
+python-versions = ">=3.6.1,<4.0"
+
+[package.extras]
+pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
+requirements_deprecated_finder = ["pipreqs", "pip-api"]
+colors = ["colorama (>=0.4.3,<0.5.0)"]
+plugins = ["setuptools"]
+
+[[package]]
+name = "jax"
+version = "0.3.21"
+description = "Differentiate, compile, and transform Numpy code."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+absl-py = "*"
+etils = {version = "*", extras = ["epath"]}
+jaxlib = {version = "0.3.20", optional = true, markers = "extra == \"cpu\""}
+numpy = ">=1.20"
+opt_einsum = "*"
+scipy = ">=1.5"
+typing_extensions = "*"
+
+[package.extras]
+australis = ["protobuf (>=3.13,<4)"]
+ci = ["jaxlib (==0.3.20)"]
+cpu = ["jaxlib (==0.3.20)"]
+cuda = ["jaxlib (==0.3.20+cuda11.cudnn82)"]
+cuda11_cudnn805 = ["jaxlib (==0.3.20+cuda11.cudnn805)"]
+cuda11_cudnn82 = ["jaxlib (==0.3.20+cuda11.cudnn82)"]
+minimum-jaxlib = ["jaxlib (==0.3.15)"]
+tpu = ["jaxlib (==0.3.20)", "libtpu-nightly (==0.1.dev20220928)", "requests"]
+
+[[package]]
+name = "jaxlib"
+version = "0.3.20"
+description = "XLA library for JAX"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+absl-py = "*"
+numpy = ">=1.20"
+scipy = ">=1.5"
+
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
+[[package]]
+name = "lark"
+version = "1.1.2"
+description = "a modern parsing library"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.extras]
+regex = ["regex"]
+nearley = ["js2py"]
+atomic_cache = ["atomicwrites"]
+
+[[package]]
+name = "lazy-object-proxy"
+version = "1.7.1"
+description = "A fast and thorough lazy object proxy."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "markupsafe"
+version = "2.1.1"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "mccabe"
+version = "0.7.0"
+description = "McCabe checker, plugin for flake8"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "mslex"
+version = "0.3.0"
+description = "shlex for windows"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "mypy"
+version = "0.981"
+description = "Optional static typing for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+mypy-extensions = ">=0.4.3"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = ">=3.10"
+
+[package.extras]
+dmypy = ["psutil (>=4.0)"]
+python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
+
+[[package]]
+name = "mypy-extensions"
+version = "0.4.3"
+description = "Experimental type system extensions for programs checked with the mypy typechecker."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "numpy"
+version = "1.21.6"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
+optional = false
+python-versions = ">=3.7,<3.11"
+
+[[package]]
+name = "opt-einsum"
+version = "3.3.0"
+description = "Optimizing numpys einsum function"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+numpy = ">=1.7"
+
+[package.extras]
+docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
+tests = ["pytest", "pytest-cov", "pytest-pep8"]
+
+[[package]]
+name = "packaging"
+version = "21.3"
+description = "Core utilities for Python packages"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
+
+[[package]]
+name = "pathspec"
+version = "0.10.1"
+description = "Utility library for gitignore style pattern matching of file paths."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "platformdirs"
+version = "2.5.2"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"]
+test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"]
+
+[[package]]
+name = "pluggy"
+version = "1.0.0"
+description = "plugin and hook calling mechanisms for python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+testing = ["pytest-benchmark", "pytest"]
+dev = ["tox", "pre-commit"]
+
+[[package]]
+name = "psutil"
+version = "5.9.2"
+description = "Cross-platform lib for process and system monitoring in Python."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"]
+
+[[package]]
+name = "py"
+version = "1.11.0"
+description = "library with cross-python path, ini-parsing, io, code, log facilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "pygments"
+version = "2.13.0"
+description = "Pygments is a syntax highlighting package written in Python."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+plugins = ["importlib-metadata"]
+
+[[package]]
+name = "pylint"
+version = "2.15.3"
+description = "python code static checker"
+category = "dev"
+optional = false
+python-versions = ">=3.7.2"
+
+[package.dependencies]
+astroid = ">=2.12.10,<=2.14.0-dev0"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+dill = ">=0.2"
+isort = ">=4.2.5,<6"
+mccabe = ">=0.6,<0.8"
+platformdirs = ">=2.2.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+tomlkit = ">=0.10.1"
+
+[package.extras]
+spelling = ["pyenchant (>=3.2,<4.0)"]
+testutils = ["gitpython (>3)"]
+
+[[package]]
+name = "pyparsing"
+version = "3.0.9"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+category = "dev"
+optional = false
+python-versions = ">=3.6.8"
+
+[package.extras]
+diagrams = ["railroad-diagrams", "jinja2"]
+
+[[package]]
+name = "pytest"
+version = "6.2.5"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+attrs = ">=19.2.0"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+py = ">=1.8.2"
+toml = "*"
+
+[package.extras]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+
+[[package]]
+name = "pytz"
+version = "2022.4"
+description = "World timezone definitions, modern and historical"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "regex"
+version = "2022.9.13"
+description = "Alternative regular expression module, to replace re."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "requests"
+version = "2.28.1"
+description = "Python HTTP for Humans."
+category = "dev"
+optional = false
+python-versions = ">=3.7, <4"
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<3"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<1.27"
+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
+
+[[package]]
+name = "scipy"
+version = "1.9.1"
+description = "SciPy: Scientific Library for Python"
+category = "main"
+optional = false
+python-versions = ">=3.8,<3.12"
+
+[package.dependencies]
+numpy = ">=1.18.5,<1.25.0"
+
+[[package]]
+name = "snowballstemmer"
+version = "2.2.0"
+description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "sphinx"
+version = "5.2.3"
+description = "Python documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+alabaster = ">=0.7,<0.8"
+babel = ">=2.9"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+docutils = ">=0.14,<0.20"
+imagesize = ">=1.3"
+Jinja2 = ">=3.0"
+packaging = ">=21.0"
+Pygments = ">=2.12"
+requests = ">=2.5.0"
+snowballstemmer = ">=2.0"
+sphinxcontrib-applehelp = "*"
+sphinxcontrib-devhelp = "*"
+sphinxcontrib-htmlhelp = ">=2.0.0"
+sphinxcontrib-jsmath = "*"
+sphinxcontrib-qthelp = "*"
+sphinxcontrib-serializinghtml = ">=1.1.5"
+
+[package.extras]
+docs = ["sphinxcontrib-websupport"]
+lint = ["flake8 (>=3.5.0)", "flake8-comprehensions", "flake8-bugbear", "flake8-simplify", "isort", "mypy (>=0.981)", "sphinx-lint", "docutils-stubs", "types-typed-ast", "types-requests"]
+test = ["pytest (>=4.6)", "html5lib", "typed-ast", "cython"]
+
+[[package]]
+name = "sphinx-autoapi"
+version = "2.0.0"
+description = "Sphinx API documentation generator"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+astroid = ">=2.7"
+Jinja2 = "*"
+PyYAML = "*"
+sphinx = ">=4.0"
+unidecode = "*"
+
+[package.extras]
+go = ["sphinxcontrib-golangdomain"]
+dotnet = ["sphinxcontrib-dotnetdomain"]
+docs = ["sphinx-rtd-theme", "sphinx"]
+
+[[package]]
+name = "sphinxcontrib-applehelp"
+version = "1.0.2"
+description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
+
+[[package]]
+name = "sphinxcontrib-devhelp"
+version = "1.0.2"
+description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
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diff --git a/poetryenvs/jax_max/pyproject_overrides.toml b/poetryenvs/jax_max/pyproject_overrides.toml
new file mode 100644
index 00000000..10609408
--- /dev/null
+++ b/poetryenvs/jax_max/pyproject_overrides.toml
@@ -0,0 +1,4 @@
+[tool.poetry.dependencies]
+python = "3.10.*"
+jax = { version = "0.3.*", extras = ["cpu"] }
+numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/jax_min/poetry.lock b/poetryenvs/jax_min/poetry.lock
new file mode 100644
index 00000000..92e71447
--- /dev/null
+++ b/poetryenvs/jax_min/poetry.lock
@@ -0,0 +1,1424 @@
+[[package]]
+name = "absl-py"
+version = "1.2.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
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+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = "*"
+
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+name = "astroid"
+version = "2.11.7"
+description = "An abstract syntax tree for Python with inference support."
+category = "dev"
+optional = false
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+lazy-object-proxy = ">=1.4.0"
+typed-ast = {version = ">=1.4.0,<2.0", markers = "implementation_name == \"cpython\" and python_version < \"3.8\""}
+typing-extensions = {version = ">=3.10", markers = "python_version < \"3.10\""}
+wrapt = ">=1.11,<2"
+
+[[package]]
+name = "atomicwrites"
+version = "1.4.1"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "attrs"
+version = "22.1.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
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diff --git a/poetryenvs/jax_min/pyproject_overrides.toml b/poetryenvs/jax_min/pyproject_overrides.toml
new file mode 100644
index 00000000..c822c2e7
--- /dev/null
+++ b/poetryenvs/jax_min/pyproject_overrides.toml
@@ -0,0 +1,4 @@
+[tool.poetry.dependencies]
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+jax = { version = "0.2.*", extras = ["cpu"] }
+numpy = "1.18.*"
diff --git a/poetryenvs/np_max/poetry.lock b/poetryenvs/np_max/poetry.lock
new file mode 100644
index 00000000..9620dd7a
--- /dev/null
+++ b/poetryenvs/np_max/poetry.lock
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diff --git a/poetryenvs/np_max/pyproject_overrides.toml b/poetryenvs/np_max/pyproject_overrides.toml
new file mode 100644
index 00000000..312e3f8f
--- /dev/null
+++ b/poetryenvs/np_max/pyproject_overrides.toml
@@ -0,0 +1,3 @@
+[tool.poetry.dependencies]
+python = "3.10.*"
+numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/np_min/poetry.lock b/poetryenvs/np_min/poetry.lock
new file mode 100644
index 00000000..ff41f777
--- /dev/null
+++ b/poetryenvs/np_min/poetry.lock
@@ -0,0 +1,1286 @@
+[[package]]
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+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "astroid"
+version = "2.11.7"
+description = "An abstract syntax tree for Python with inference support."
+category = "dev"
+optional = false
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+lazy-object-proxy = ">=1.4.0"
+typed-ast = {version = ">=1.4.0,<2.0", markers = "implementation_name == \"cpython\" and python_version < \"3.8\""}
+typing-extensions = {version = ">=3.10", markers = "python_version < \"3.10\""}
+wrapt = ">=1.11,<2"
+
+[[package]]
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+version = "1.4.1"
+description = "Atomic file writes."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "attrs"
+version = "22.1.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
+
+[[package]]
+name = "babel"
+version = "2.10.3"
+description = "Internationalization utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pytz = ">=2015.7"
+
+[[package]]
+name = "black"
+version = "20.8b1"
+description = "The uncompromising code formatter."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+appdirs = "*"
+click = ">=7.1.2"
+mypy-extensions = ">=0.4.3"
+pathspec = ">=0.6,<1"
+regex = ">=2020.1.8"
+toml = ">=0.10.1"
+typed-ast = ">=1.4.0"
+typing-extensions = ">=3.7.4"
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
+
+[[package]]
+name = "certifi"
+version = "2022.9.24"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "charset-normalizer"
+version = "2.1.1"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "dev"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
+
+[[package]]
+name = "click"
+version = "8.0.4"
+description = "Composable command line interface toolkit"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
+
+[[package]]
+name = "colorama"
+version = "0.4.5"
+description = "Cross-platform colored terminal text."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "dill"
+version = "0.3.5.1"
+description = "serialize all of python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
+[[package]]
+name = "docutils"
+version = "0.19"
+description = "Docutils -- Python Documentation Utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "idna"
+version = "3.4"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "importlib-metadata"
+version = "5.0.0"
+description = "Read metadata from Python packages"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+perf = ["ipython"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
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diff --git a/poetryenvs/np_min/pyproject_overrides.toml b/poetryenvs/np_min/pyproject_overrides.toml
new file mode 100644
index 00000000..0969beeb
--- /dev/null
+++ b/poetryenvs/np_min/pyproject_overrides.toml
@@ -0,0 +1,3 @@
+[tool.poetry.dependencies]
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+numpy = "1.17.*"
diff --git a/poetryenvs/py_max/poetry.lock b/poetryenvs/py_max/poetry.lock
new file mode 100644
index 00000000..f819f201
--- /dev/null
+++ b/poetryenvs/py_max/poetry.lock
@@ -0,0 +1,1210 @@
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diff --git a/poetryenvs/py_max/pyproject_overrides.toml b/poetryenvs/py_max/pyproject_overrides.toml
new file mode 100644
index 00000000..aa1b8882
--- /dev/null
+++ b/poetryenvs/py_max/pyproject_overrides.toml
@@ -0,0 +1,2 @@
+[tool.poetry.dependencies]
+python = "3.10.*"
diff --git a/poetryenvs/py_min/poetry.lock b/poetryenvs/py_min/poetry.lock
new file mode 100644
index 00000000..8a884fb1
--- /dev/null
+++ b/poetryenvs/py_min/poetry.lock
@@ -0,0 +1,1255 @@
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+[[package]]
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+[package.extras]
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+[package.dependencies]
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+[package.extras]
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+    {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
+]
+zipp = [
+    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
+    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+]
diff --git a/poetryenvs/py_min/pyproject_overrides.toml b/poetryenvs/py_min/pyproject_overrides.toml
new file mode 100644
index 00000000..9ff4852f
--- /dev/null
+++ b/poetryenvs/py_min/pyproject_overrides.toml
@@ -0,0 +1,2 @@
+[tool.poetry.dependencies]
+python = "3.7.*"
diff --git a/poetryenvs/tf_max/poetry.lock b/poetryenvs/tf_max/poetry.lock
index 02f81d6b..538ada7e 100644
--- a/poetryenvs/tf_max/poetry.lock
+++ b/poetryenvs/tf_max/poetry.lock
@@ -138,14 +138,6 @@ python-versions = ">=3.6"
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
-[[package]]
-name = "cloudpickle"
-version = "2.2.0"
-description = "Extended pickling support for Python objects"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "colorama"
 version = "0.4.5"
@@ -154,14 +146,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
-[[package]]
-name = "decorator"
-version = "5.1.1"
-description = "Decorators for Humans"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -173,14 +157,6 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*,
 [package.extras]
 graph = ["objgraph (>=1.7.2)"]
 
-[[package]]
-name = "dm-tree"
-version = "0.1.7"
-description = "Tree is a library for working with nested data structures."
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "docutils"
 version = "0.19"
@@ -635,7 +611,7 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
 
 [[package]]
 name = "pytz"
-version = "2022.2.1"
+version = "2022.4"
 description = "World timezone definitions, modern and historical"
 category = "dev"
 optional = false
@@ -719,7 +695,7 @@ python-versions = "*"
 
 [[package]]
 name = "sphinx"
-version = "5.2.2"
+version = "5.2.3"
 description = "Python documentation generator"
 category = "dev"
 optional = false
@@ -944,27 +920,6 @@ tensorflow-cpu = ["tensorflow-cpu (>=2.10.0,<2.11.0)"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.10.0,<2.11.0)"]
 tensorflow-rocm = ["tensorflow-rocm (>=2.10.0,<2.11.0)"]
 
-[[package]]
-name = "tensorflow-probability"
-version = "0.18.0"
-description = "Probabilistic modeling and statistical inference in TensorFlow"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-absl-py = "*"
-cloudpickle = ">=1.3"
-decorator = "*"
-dm-tree = "*"
-gast = ">=0.3.2"
-numpy = ">=1.13.3"
-six = ">=1.10.0"
-
-[package.extras]
-jax = ["jax", "jaxlib"]
-tfds = ["tensorflow-datasets (>=2.2.0)"]
-
 [[package]]
 name = "termcolor"
 version = "2.0.1"
@@ -1018,7 +973,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "unidecode"
-version = "1.3.5"
+version = "1.3.6"
 description = "ASCII transliterations of Unicode text"
 category = "dev"
 optional = false
@@ -1062,7 +1017,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "9100d63b97326aabfdced536ab22a3c279a3971972411ffdff800b0f6cf321fa"
+content-hash = "8e302b6baeac884c0e676d2e8a61702fe015772785d113e15ae4823dc2945f15"
 
 [metadata.files]
 absl-py = [
@@ -1115,46 +1070,14 @@ click = [
     {file = "click-8.0.4-py3-none-any.whl", hash = "sha256:6a7a62563bbfabfda3a38f3023a1db4a35978c0abd76f6c9605ecd6554d6d9b1"},
     {file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"},
 ]
-cloudpickle = [
-    {file = "cloudpickle-2.2.0-py3-none-any.whl", hash = "sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0"},
-    {file = "cloudpickle-2.2.0.tar.gz", hash = "sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f"},
-]
 colorama = [
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     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
-decorator = [
-    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
-    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
-]
 dill = [
     {file = "dill-0.3.5.1-py2.py3-none-any.whl", hash = "sha256:33501d03270bbe410c72639b350e941882a8b0fd55357580fbc873fba0c59302"},
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 ]
-dm-tree = [
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-    {file = "dm_tree-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2a843608e078d1622ebb5e50962a8c718d3fa1ab9461b95a12395a803545b2f5"},
-    {file = "dm_tree-0.1.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7fa0740b7fbae2c3a43a3114a514891b5d6c383050828f36aa1816cf40f73a6a"},
-    {file = "dm_tree-0.1.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1379a02df36e2bbff9819ceafa55ccd436b15af398803f781f372f8ead7ed871"},
-    {file = "dm_tree-0.1.7-cp39-cp39-win_amd64.whl", hash = "sha256:3ca0a58e219b7b0bc201fea4679971188d0a9028a2543c16803a84e8f8c7eb2c"},
-]
 docutils = [
     {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
     {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
@@ -1584,8 +1507,8 @@ pytest = [
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
 pytz = [
-    {file = "pytz-2022.2.1-py2.py3-none-any.whl", hash = "sha256:220f481bdafa09c3955dfbdddb7b57780e9a94f5127e35456a48589b9e0c0197"},
-    {file = "pytz-2022.2.1.tar.gz", hash = "sha256:cea221417204f2d1a2aa03ddae3e867921971d0d76f14d87abb4414415bbdcf5"},
+    {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
+    {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
 ]
 pyyaml = [
     {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
@@ -1740,8 +1663,8 @@ snowballstemmer = [
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
 ]
 sphinx = [
-    {file = "Sphinx-5.2.2.tar.gz", hash = "sha256:7225c104dc06169eb73b061582c4bc84a9594042acae6c1582564de274b7df2f"},
-    {file = "sphinx-5.2.2-py3-none-any.whl", hash = "sha256:9150a8ed2e98d70e778624373f183c5498bf429dd605cf7b63e80e2a166c35a5"},
+    {file = "Sphinx-5.2.3.tar.gz", hash = "sha256:5b10cb1022dac8c035f75767799c39217a05fc0fe2d6fe5597560d38e44f0363"},
+    {file = "sphinx-5.2.3-py3-none-any.whl", hash = "sha256:7abf6fabd7b58d0727b7317d5e2650ef68765bbe0ccb63c8795fa8683477eaa2"},
 ]
 sphinx-autoapi = [
     {file = "sphinx-autoapi-2.0.0.tar.gz", hash = "sha256:97dcf1b5b54cd0d8efef867594e4a4f3e2d3a2c0ec1e5a891e0a61bc77046006"},
@@ -1821,9 +1744,6 @@ tensorflow-io-gcs-filesystem = [
     {file = "tensorflow_io_gcs_filesystem-0.27.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ed17c281a28df9ab0547cdf166e885208d2a43db0f0f8fbe66addc4e23ee36ff"},
     {file = "tensorflow_io_gcs_filesystem-0.27.0-cp39-cp39-win_amd64.whl", hash = "sha256:152f4c20e5341d486df35f7ce9751a441ed89b43c1036491cd2b30a742fbe20a"},
 ]
-tensorflow-probability = [
-    {file = "tensorflow_probability-0.18.0-py2.py3-none-any.whl", hash = "sha256:80d57e7792c78586f12255ab4a7c359b7e86bc06d487fd629119d9e650624a18"},
-]
 termcolor = [
     {file = "termcolor-2.0.1-py3-none-any.whl", hash = "sha256:7e597f9de8e001a3208c4132938597413b9da45382b6f1d150cff8d062b7aaa3"},
     {file = "termcolor-2.0.1.tar.gz", hash = "sha256:6b2cf769e93364a2676e1de56a7c0cff2cf5bd07f37e9cc80b0dd6320ebfe388"},
@@ -1871,8 +1791,8 @@ typing-extensions = [
     {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
 ]
 unidecode = [
-    {file = "Unidecode-1.3.5-py3-none-any.whl", hash = "sha256:d30c896583ae2ade4bfd2a6591a7102a51ddcd3c0f05bbf225ffbfe658973141"},
-    {file = "Unidecode-1.3.5.tar.gz", hash = "sha256:c4cad1b85ec76be67be7096bbaa77e539e6de12ff9a59c1d5d567198582e4bbe"},
+    {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
+    {file = "Unidecode-1.3.6.tar.gz", hash = "sha256:fed09cf0be8cf415b391642c2a5addfc72194407caee4f98719e40ec2a72b830"},
 ]
 urllib3 = [
     {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
diff --git a/poetryenvs/tf_max/pyproject_overrides.toml b/poetryenvs/tf_max/pyproject_overrides.toml
index 5a081526..42073bf3 100644
--- a/poetryenvs/tf_max/pyproject_overrides.toml
+++ b/poetryenvs/tf_max/pyproject_overrides.toml
@@ -1,5 +1,4 @@
 [tool.poetry.dependencies]
 python = "3.10.*"
 tensorflow = "2.10.*"
-tensorflow-probability = "0.18.*"
-numpy = "1.21.*"  # Newer versions create backwards compatibility problems...
+numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/tf_min/poetry.lock b/poetryenvs/tf_min/poetry.lock
index bbff4f64..ebfeeb0a 100644
--- a/poetryenvs/tf_min/poetry.lock
+++ b/poetryenvs/tf_min/poetry.lock
@@ -144,14 +144,6 @@ python-versions = ">=3.6"
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
-[[package]]
-name = "cloudpickle"
-version = "2.2.0"
-description = "Extended pickling support for Python objects"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "colorama"
 version = "0.4.5"
@@ -160,22 +152,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
-[[package]]
-name = "decorator"
-version = "5.1.1"
-description = "Decorators for Humans"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[[package]]
-name = "dm-tree"
-version = "0.1.7"
-description = "Tree is a library for working with nested data structures."
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "docutils"
 version = "0.19"
@@ -290,7 +266,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "importlib-metadata"
-version = "4.12.0"
+version = "5.0.0"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
@@ -301,9 +277,9 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
 perf = ["ipython"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
 
 [[package]]
 name = "iniconfig"
@@ -633,7 +609,7 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
 
 [[package]]
 name = "pytz"
-version = "2022.2.1"
+version = "2022.4"
 description = "World timezone definitions, modern and historical"
 category = "dev"
 optional = false
@@ -717,7 +693,7 @@ python-versions = "*"
 
 [[package]]
 name = "sphinx"
-version = "5.2.2"
+version = "5.2.3"
 description = "Python documentation generator"
 category = "dev"
 optional = false
@@ -924,26 +900,6 @@ category = "main"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "tensorflow-probability"
-version = "0.12.2"
-description = "Probabilistic modeling and statistical inference in TensorFlow"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-cloudpickle = ">=1.3"
-decorator = "*"
-dm-tree = "*"
-gast = ">=0.3.2"
-numpy = ">=1.13.3"
-six = ">=1.10.0"
-
-[package.extras]
-jax = ["jax (<=0.2.11)", "jaxlib (<=0.1.64)"]
-tfds = ["tensorflow-datasets (>=2.2.0)"]
-
 [[package]]
 name = "termcolor"
 version = "1.1.0"
@@ -994,7 +950,7 @@ python-versions = "*"
 
 [[package]]
 name = "unidecode"
-version = "1.3.5"
+version = "1.3.6"
 description = "ASCII transliterations of Unicode text"
 category = "dev"
 optional = false
@@ -1050,7 +1006,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "0273d29244f3772b80f643b5258faa09f817070c4a8c74178c7cfb98cee623ed"
+content-hash = "ae9d2e1cf466af0e9fb3948382e33eff42c7db1cb1d59a8c9209e37d91ae8a39"
 
 [metadata.files]
 absl-py = [
@@ -1103,42 +1059,10 @@ click = [
     {file = "click-8.0.4-py3-none-any.whl", hash = "sha256:6a7a62563bbfabfda3a38f3023a1db4a35978c0abd76f6c9605ecd6554d6d9b1"},
     {file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"},
 ]
-cloudpickle = [
-    {file = "cloudpickle-2.2.0-py3-none-any.whl", hash = "sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0"},
-    {file = "cloudpickle-2.2.0.tar.gz", hash = "sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f"},
-]
 colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
-decorator = [
-    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
-    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
-]
-dm-tree = [
-    {file = "dm-tree-0.1.7.tar.gz", hash = "sha256:30fec8aca5b92823c0e796a2f33b875b4dccd470b57e91e6c542405c5f77fd2a"},
-    {file = "dm_tree-0.1.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3fae437135b6cbbdd51e96488a35e78c3617defa0b65265e7e8752d506f933fd"},
-    {file = "dm_tree-0.1.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d377bd621b485db42c4aeea0eabbd8f6274b89a9c338c2c1bf69a40c3b86a1fd"},
-    {file = "dm_tree-0.1.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1410fa2f2cc8dc7c01386f4e93ddeeb56765574ffafb632a9b6bd96496195b10"},
-    {file = "dm_tree-0.1.7-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:57edb6fbd88fcdd9908547cbf21045a9d663c0d9e5983dca7e6f9cf8b6584bb5"},
-    {file = "dm_tree-0.1.7-cp310-cp310-win_amd64.whl", hash = "sha256:9edc1783a08d87c4e130781f55cbd904d6a564f7cce7dfb63f9ef3bee8e38209"},
-    {file = "dm_tree-0.1.7-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:98fce150ceebb0a818f0eace1616004031cfa5e3375f50599ad790ff52414ba9"},
-    {file = "dm_tree-0.1.7-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b4364fc9a5721a2b840ac8ea75b8f58b430bec9fdc8b99304d2aecb3cfe46b1b"},
-    {file = "dm_tree-0.1.7-cp36-cp36m-win_amd64.whl", hash = "sha256:a085f500b295a6bf439c538e9058c7798ecb8c7d0dc916291f3d8d79d6124d17"},
-    {file = "dm_tree-0.1.7-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:f3e2bd9b9c05d1a0039f7c128d8b055c8a05708ef569cdbbeec0a2946e425bd4"},
-    {file = "dm_tree-0.1.7-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:91c6240e47c9d80dbd7de5a29a2ca663143717a72c613130ba8ac4354fa741a9"},
-    {file = "dm_tree-0.1.7-cp37-cp37m-win_amd64.whl", hash = "sha256:0f01743cc2247170e64798c6b4b31853717054bf9ceec47a1b1b8c2a4baf5792"},
-    {file = "dm_tree-0.1.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4992ac5c42af1d73042cd2d3af4e7892d3750e6c1bb8e5a4f81534aa6515f350"},
-    {file = "dm_tree-0.1.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:20f24cad4decbf4c1f176a959d16e877c73df33b07d7d1f078a5b8abe72f79f8"},
-    {file = "dm_tree-0.1.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3166304411d14c50a5da1c583e24d6069b44de0c9e06479cb36cdf048a466945"},
-    {file = "dm_tree-0.1.7-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:3b00885c21267934a3d3c68660811d3f891c9539fd53712f5b2423c6d74bf1e6"},
-    {file = "dm_tree-0.1.7-cp38-cp38-win_amd64.whl", hash = "sha256:7f1f3dca9d669f3c09654ff6d69cfafd86a7f967c3095405b2692ee8d8ef3cfd"},
-    {file = "dm_tree-0.1.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:51b9bdf1109b47cc22884b1919e6fe38edf28b5aa02e7c661bb760a0e7cf0157"},
-    {file = "dm_tree-0.1.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2a843608e078d1622ebb5e50962a8c718d3fa1ab9461b95a12395a803545b2f5"},
-    {file = "dm_tree-0.1.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7fa0740b7fbae2c3a43a3114a514891b5d6c383050828f36aa1816cf40f73a6a"},
-    {file = "dm_tree-0.1.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1379a02df36e2bbff9819ceafa55ccd436b15af398803f781f372f8ead7ed871"},
-    {file = "dm_tree-0.1.7-cp39-cp39-win_amd64.whl", hash = "sha256:3ca0a58e219b7b0bc201fea4679971188d0a9028a2543c16803a84e8f8c7eb2c"},
-]
 docutils = [
     {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
     {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
@@ -1245,8 +1169,8 @@ imagesize = [
     {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
 ]
 importlib-metadata = [
-    {file = "importlib_metadata-4.12.0-py3-none-any.whl", hash = "sha256:7401a975809ea1fdc658c3aa4f78cc2195a0e019c5cbc4c06122884e9ae80c23"},
-    {file = "importlib_metadata-4.12.0.tar.gz", hash = "sha256:637245b8bab2b6502fcbc752cc4b7a6f6243bb02b31c5c26156ad103d3d45670"},
+    {file = "importlib_metadata-5.0.0-py3-none-any.whl", hash = "sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43"},
+    {file = "importlib_metadata-5.0.0.tar.gz", hash = "sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab"},
 ]
 iniconfig = [
     {file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
@@ -1560,8 +1484,8 @@ pytest = [
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
 pytz = [
-    {file = "pytz-2022.2.1-py2.py3-none-any.whl", hash = "sha256:220f481bdafa09c3955dfbdddb7b57780e9a94f5127e35456a48589b9e0c0197"},
-    {file = "pytz-2022.2.1.tar.gz", hash = "sha256:cea221417204f2d1a2aa03ddae3e867921971d0d76f14d87abb4414415bbdcf5"},
+    {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
+    {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
 ]
 pyyaml = [
     {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
@@ -1716,8 +1640,8 @@ snowballstemmer = [
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
 ]
 sphinx = [
-    {file = "Sphinx-5.2.2.tar.gz", hash = "sha256:7225c104dc06169eb73b061582c4bc84a9594042acae6c1582564de274b7df2f"},
-    {file = "sphinx-5.2.2-py3-none-any.whl", hash = "sha256:9150a8ed2e98d70e778624373f183c5498bf429dd605cf7b63e80e2a166c35a5"},
+    {file = "Sphinx-5.2.3.tar.gz", hash = "sha256:5b10cb1022dac8c035f75767799c39217a05fc0fe2d6fe5597560d38e44f0363"},
+    {file = "sphinx-5.2.3-py3-none-any.whl", hash = "sha256:7abf6fabd7b58d0727b7317d5e2650ef68765bbe0ccb63c8795fa8683477eaa2"},
 ]
 sphinx-autoapi = [
     {file = "sphinx-autoapi-2.0.0.tar.gz", hash = "sha256:97dcf1b5b54cd0d8efef867594e4a4f3e2d3a2c0ec1e5a891e0a61bc77046006"},
@@ -1776,9 +1700,6 @@ tensorflow = [
 tensorflow-estimator = [
     {file = "tensorflow_estimator-2.4.0-py2.py3-none-any.whl", hash = "sha256:5b7b7bf2debe19a8794adacc43e8ba6459daa4efaf54d3302623994a359b17f0"},
 ]
-tensorflow-probability = [
-    {file = "tensorflow_probability-0.12.2-py2.py3-none-any.whl", hash = "sha256:b14b27c276284231c2c093bedfeaebf584b688e8c522e5800bed3005263cc76c"},
-]
 termcolor = [
     {file = "termcolor-1.1.0.tar.gz", hash = "sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b"},
 ]
@@ -1832,8 +1753,8 @@ typing-extensions = [
     {file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
 ]
 unidecode = [
-    {file = "Unidecode-1.3.5-py3-none-any.whl", hash = "sha256:d30c896583ae2ade4bfd2a6591a7102a51ddcd3c0f05bbf225ffbfe658973141"},
-    {file = "Unidecode-1.3.5.tar.gz", hash = "sha256:c4cad1b85ec76be67be7096bbaa77e539e6de12ff9a59c1d5d567198582e4bbe"},
+    {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
+    {file = "Unidecode-1.3.6.tar.gz", hash = "sha256:fed09cf0be8cf415b391642c2a5addfc72194407caee4f98719e40ec2a72b830"},
 ]
 urllib3 = [
     {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
diff --git a/poetryenvs/tf_min/pyproject_overrides.toml b/poetryenvs/tf_min/pyproject_overrides.toml
index 21fbf8ba..09e2694d 100644
--- a/poetryenvs/tf_min/pyproject_overrides.toml
+++ b/poetryenvs/tf_min/pyproject_overrides.toml
@@ -1,4 +1,3 @@
 [tool.poetry.dependencies]
 python = "3.7.*"
 tensorflow = "2.4.*"
-tensorflow-probability = "0.12.*"
diff --git a/poetryenvs/tfp_max/poetry.lock b/poetryenvs/tfp_max/poetry.lock
new file mode 100644
index 00000000..c07d80be
--- /dev/null
+++ b/poetryenvs/tfp_max/poetry.lock
@@ -0,0 +1,1950 @@
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diff --git a/poetryenvs/tfp_max/pyproject_overrides.toml b/poetryenvs/tfp_max/pyproject_overrides.toml
new file mode 100644
index 00000000..a896bce1
--- /dev/null
+++ b/poetryenvs/tfp_max/pyproject_overrides.toml
@@ -0,0 +1,5 @@
+[tool.poetry.dependencies]
+python = "3.10.*"
+tensorflow = "2.10.*"
+tensorflow-probability = "0.18.*"
+numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/tfp_min/poetry.lock b/poetryenvs/tfp_min/poetry.lock
new file mode 100644
index 00000000..f302136f
--- /dev/null
+++ b/poetryenvs/tfp_min/poetry.lock
@@ -0,0 +1,1852 @@
+[[package]]
+name = "absl-py"
+version = "0.15.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[[package]]
+name = "alabaster"
+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "astroid"
+version = "2.7.3"
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diff --git a/poetryenvs/tfp_min/pyproject_overrides.toml b/poetryenvs/tfp_min/pyproject_overrides.toml
new file mode 100644
index 00000000..21fbf8ba
--- /dev/null
+++ b/poetryenvs/tfp_min/pyproject_overrides.toml
@@ -0,0 +1,4 @@
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+tensorflow = "2.4.*"
+tensorflow-probability = "0.12.*"
diff --git a/poetryenvs/torch_max/poetry.lock b/poetryenvs/torch_max/poetry.lock
new file mode 100644
index 00000000..169a6fa5
--- /dev/null
+++ b/poetryenvs/torch_max/poetry.lock
@@ -0,0 +1,1284 @@
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diff --git a/poetryenvs/torch_max/pyproject_overrides.toml b/poetryenvs/torch_max/pyproject_overrides.toml
new file mode 100644
index 00000000..87ac454e
--- /dev/null
+++ b/poetryenvs/torch_max/pyproject_overrides.toml
@@ -0,0 +1,4 @@
+[tool.poetry.dependencies]
+python = "3.10.*"
+torch = "1.*.*"
+numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/torch_min/poetry.lock b/poetryenvs/torch_min/poetry.lock
new file mode 100644
index 00000000..5503dbcb
--- /dev/null
+++ b/poetryenvs/torch_min/poetry.lock
@@ -0,0 +1,1315 @@
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+version = "0.7.12"
+description = "A configurable sidebar-enabled Sphinx theme"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
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+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
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+version = "2.11.7"
+description = "An abstract syntax tree for Python with inference support."
+category = "dev"
+optional = false
+python-versions = ">=3.6.2"
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+[package.dependencies]
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+
+[[package]]
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+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
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+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
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+[package.extras]
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+[[package]]
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+
+[[package]]
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+category = "dev"
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+python-versions = ">=3.6.0"
+
+[package.extras]
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+[package.dependencies]
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+
+[[package]]
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+[[package]]
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+
+[[package]]
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+
+[[package]]
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+[package.dependencies]
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+[package.extras]
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+
+[[package]]
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+optional = false
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+[package.extras]
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+
+[package.dependencies]
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+[package.extras]
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+
+[package.extras]
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+
+[[package]]
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+[[package]]
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+[[package]]
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+[package.dependencies]
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+[package.extras]
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+[[package]]
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+optional = false
+python-versions = ">=3.7,<3.11"
+
+[[package]]
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+[package.dependencies]
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+[[package]]
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+[package.extras]
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+[package.dependencies]
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+[package.extras]
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+dev = ["tox", "pre-commit"]
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+[[package]]
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+description = "Cross-platform lib for process and system monitoring in Python."
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+[package.extras]
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+[package.extras]
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+[package.extras]
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+[package.extras]
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+[[package]]
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+    {file = "wrapt-1.14.1-cp39-cp39-win32.whl", hash = "sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5"},
+    {file = "wrapt-1.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb"},
+    {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
+]
+zipp = [
+    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
+    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+]
diff --git a/poetryenvs/torch_min/pyproject_overrides.toml b/poetryenvs/torch_min/pyproject_overrides.toml
new file mode 100644
index 00000000..a1dc378d
--- /dev/null
+++ b/poetryenvs/torch_min/pyproject_overrides.toml
@@ -0,0 +1,4 @@
+[tool.poetry.dependencies]
+python = "3.7.*"
+torch = "1.0.*"
+numpy = "1.*.*"
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 39f41dcd..00313277 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,16 +31,14 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.7,<3.11"
-tensorflow = "^2.4.0"
-tensorflow-probability = ">=0.12.0"
 lark = "^1.1.0"
+python = ">=3.7,<3.11"
 
 [tool.poetry.dev-dependencies]
 black = "20.8b1"  # Pinned for backwards compatibility with the old stuff.
 click = "<8.1.0"  # Required by `black = "20.8b1"`.
 isort = "^5.10.0"
-mypy = ">0.920"
+mypy = ">0.920,<0.982"
 pylint = "^2.10.0"
 pytest = "^6.0.0"
 taskipy = "^1.10.0"
@@ -73,11 +71,14 @@ warn_unused_ignores = false
 
 [[tool.mypy.overrides]]
 module = [
-    "tensorflow.*",
-    "tensorflow_probability.*",
-    "pytest.*",
     "_pytest.*",
+    "importlib_metadata.*",
+    "jax.*",
     "numpy.*",  # Newer version of numpy does have stubs. We can get rid of this in the future.
+    "pytest.*",
+    "tensorflow.*",
+    "tensorflow_probability.*",
+    "torch.*",
 ]
 ignore_missing_imports = true
 
@@ -112,7 +113,7 @@ black_check = """
 """
 mypy = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX mypy XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    mypy $(python -m check_shapes.mypy_flags) poetryenv check_shapes tests
+    mypy poetryenv check_shapes tests
 """
 pylint = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX pylint XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
diff --git a/tests/check_shapes/integration/__init__.py b/tests/check_shapes/integration/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/check_shapes/integration/test_jax.py b/tests/check_shapes/integration/test_jax.py
new file mode 100644
index 00000000..0af987de
--- /dev/null
+++ b/tests/check_shapes/integration/test_jax.py
@@ -0,0 +1,194 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+# pylint: disable=ungrouped-imports
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from time import perf_counter
+from typing import Any, Mapping, Optional
+
+import pytest
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, inherit_check_shapes
+
+from ..utils import assert_has_shape
+
+try:
+    import jax.numpy as jnp
+    import numpy as np
+    from jax import grad, jit, random
+
+    requires_jax = lambda f: f
+except ImportError:
+    from unittest.mock import MagicMock
+
+    jnp = MagicMock()
+    np = MagicMock()
+    grad = MagicMock()
+    jit = MagicMock()
+    random = MagicMock()
+
+    requires_jax = pytest.mark.skip("Jax not installed.")
+
+
+# Some versions of NumPy has generic ndarrays while other don't:
+ndarray = Any
+
+
+@requires_jax
+@pytest.mark.parametrize(
+    "shaped,expected_shape",
+    [
+        (jnp.zeros(()), ()),
+        (jnp.zeros((3, 4)), (3, 4)),
+    ],
+)
+def test_get_shape(shaped: Any, expected_shape: Shape) -> None:
+    assert_has_shape(shaped, expected_shape)
+
+
+@requires_jax
+def test_check_shapes() -> None:
+    N_FEATURES = 10
+    N_TRAINING_ROWS = 1_000
+    N_TEST_ROWS = 100
+
+    N_ITERATIONS = 1_000
+    LEARNING_RATE = 1e-2
+
+    class Model(ABC):
+        @abstractmethod
+        @check_shapes(
+            "training_features: [n_rows, n_features]",
+            "training_targets: [n_rows, 1]",
+        )
+        def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+            ...
+
+        @abstractmethod
+        @check_shapes(
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def predict(self, test_features: ndarray) -> ndarray:
+            ...
+
+    class LinearModel(Model):
+        def __init__(self) -> None:
+            self._weights: Optional[ndarray] = None  # [n_features]
+
+        @check_shapes(
+            "weights: [n_features]",
+        )
+        def set_weights(self, weights: ndarray) -> None:
+            self._weights = weights
+
+        @inherit_check_shapes
+        def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+            # We intentionally split this into a few more functions than might technically be
+            # needed, so that we have something to annotate with type checks:
+
+            @check_shapes(
+                "weights: [n_features]",
+                "return: []",
+            )
+            def loss(weights: ndarray) -> ndarray:
+                pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+                err = cs(pred - training_targets, "[n_rows, 1]")
+                return jnp.mean(err ** 2)
+
+            loss_grads = grad(loss)
+
+            @jit
+            @check_shapes(
+                "weights: [n_features]",
+                "return: [n_features]",
+            )
+            def step(weights: ndarray) -> ndarray:
+                return weights - LEARNING_RATE * loss_grads(weights)
+
+            n_features = training_features.shape[-1]
+            weights = np.zeros((n_features,))
+
+            for _ in range(N_ITERATIONS):
+                weights = step(weights)
+
+            self._weights = weights
+
+        @inherit_check_shapes
+        def predict(self, test_features: ndarray) -> ndarray:
+            assert self._weights is not None
+            return self._predict(self._weights, test_features)
+
+        @staticmethod
+        @check_shapes(
+            "weights: [n_features]",
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def _predict(weights: ndarray, test_features: ndarray) -> ndarray:
+            return test_features @ weights[:, None]
+
+    @dataclass
+    class TestData:
+        training_features: ndarray
+        training_targets: ndarray
+        test_features: ndarray
+        test_targets: ndarray
+
+        @check_shapes(
+            "self.training_features: [n_training_rows, n_features]",
+            "self.training_targets: [n_training_rows, 1]",
+            "self.test_features: [n_test_rows, n_features]",
+            "self.test_targets: [n_test_rows, 1]",
+        )
+        def __post_init__(self) -> None:
+            pass
+
+    def create_data() -> TestData:
+        key = random.PRNGKey(42)
+        key1, key2, key3 = random.split(key, 3)
+        model = LinearModel()
+        model.set_weights(jnp.arange(N_FEATURES))
+        training_features = random.uniform(key1, [N_TRAINING_ROWS, N_FEATURES])
+        training_targets = model.predict(training_features) + random.normal(
+            key2, [N_TRAINING_ROWS, 1]
+        )
+        test_features = random.uniform(key3, [N_TEST_ROWS, N_FEATURES])
+        test_targets = model.predict(test_features)
+        return TestData(training_features, training_targets, test_features, test_targets)
+
+    def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+        test_predictions = model.predict(data.test_features)
+        err = data.test_targets - test_predictions
+        result = {}
+        result["rmse"] = jnp.sqrt(jnp.mean(err ** 2))
+        return result
+
+    def main() -> None:
+        before = perf_counter()
+        data = create_data()
+        model = LinearModel()
+        model.train(data.training_features, data.training_targets)
+        metrics = dict(evaluate(model, data))
+        after = perf_counter()
+        metrics["time (s)"] = after - before
+        for key, value in metrics.items():
+            print(key, value)
+
+    main()
diff --git a/tests/check_shapes/integration/test_np.py b/tests/check_shapes/integration/test_np.py
new file mode 100644
index 00000000..77b76ef5
--- /dev/null
+++ b/tests/check_shapes/integration/test_np.py
@@ -0,0 +1,185 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+# pylint: disable=ungrouped-imports
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from time import perf_counter
+from typing import Any, Mapping, Optional
+
+import pytest
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, inherit_check_shapes
+
+from ..utils import assert_has_shape
+
+try:
+    import numpy as np
+
+    requires_np = lambda f: f
+except ImportError:
+    from unittest.mock import MagicMock
+
+    np = MagicMock()
+
+    requires_np = pytest.mark.skip("NumPy not installed.")
+
+
+# Some versions of NumPy has generic ndarrays while other don't:
+ndarray = Any
+
+
+@requires_np
+@pytest.mark.parametrize(
+    "shaped,expected_shape",
+    [
+        (np.zeros(()), ()),
+        (np.zeros((3, 4)), (3, 4)),
+    ],
+)
+def test_get_shape(shaped: Any, expected_shape: Shape) -> None:
+    assert_has_shape(shaped, expected_shape)
+
+
+@requires_np
+def test_check_shapes() -> None:
+    N_FEATURES = 10
+    N_TRAINING_ROWS = 1_000
+    N_TEST_ROWS = 100
+
+    N_ITERATIONS = 1_000
+    LEARNING_RATE = 1e-2
+
+    class Model(ABC):
+        @abstractmethod
+        @check_shapes(
+            "training_features: [n_rows, n_features]",
+            "training_targets: [n_rows, 1]",
+        )
+        def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+            ...
+
+        @abstractmethod
+        @check_shapes(
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def predict(self, test_features: ndarray) -> ndarray:
+            ...
+
+    class LinearModel(Model):
+        def __init__(self) -> None:
+            self._weights: Optional[ndarray] = None  # [n_features]
+
+        @check_shapes(
+            "weights: [n_features]",
+        )
+        def set_weights(self, weights: ndarray) -> None:
+            self._weights = weights
+
+        @inherit_check_shapes
+        def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+            # We intentionally split this into a few more functions than might technically be
+            # needed, so that we have something to annotate with type checks:
+
+            @check_shapes(
+                "weights: [n_features]",
+                "return: [n_features]",
+            )
+            def loss_grads(weights: ndarray) -> ndarray:
+                pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+                grads = cs(
+                    2 * (pred - training_targets) * training_features, "[n_rows, n_features]"
+                )
+                return np.mean(grads, axis=0)
+
+            @check_shapes(
+                "weights: [n_features]",
+                "return: [n_features]",
+            )
+            def step(weights: ndarray) -> ndarray:
+                return weights - LEARNING_RATE * loss_grads(weights)
+
+            n_features = training_features.shape[-1]
+            weights = np.zeros((n_features,))
+            for _ in range(N_ITERATIONS):
+                weights = step(weights)
+
+            self._weights = weights
+
+        @inherit_check_shapes
+        def predict(self, test_features: ndarray) -> ndarray:
+            assert self._weights is not None
+            return self._predict(self._weights, test_features)
+
+        @staticmethod
+        @check_shapes(
+            "weights: [n_features]",
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def _predict(weights: ndarray, test_features: ndarray) -> ndarray:
+            return test_features @ weights[:, None]
+
+    @dataclass
+    class TestData:
+        training_features: ndarray
+        training_targets: ndarray
+        test_features: ndarray
+        test_targets: ndarray
+
+        @check_shapes(
+            "self.training_features: [n_training_rows, n_features]",
+            "self.training_targets: [n_training_rows, 1]",
+            "self.test_features: [n_test_rows, n_features]",
+            "self.test_targets: [n_test_rows, 1]",
+        )
+        def __post_init__(self) -> None:
+            pass
+
+    def create_data() -> TestData:
+        rng = np.random.default_rng(42)
+        model = LinearModel()
+        model.set_weights(np.arange(N_FEATURES))
+        training_features = rng.random(size=[N_TRAINING_ROWS, N_FEATURES])
+        training_targets = model.predict(training_features) + rng.normal(
+            0.0, 1.0, size=[N_TRAINING_ROWS, 1]
+        )
+        test_features = rng.random(size=[N_TEST_ROWS, N_FEATURES])
+        test_targets = model.predict(test_features)
+        return TestData(training_features, training_targets, test_features, test_targets)
+
+    def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+        test_predictions = model.predict(data.test_features)
+        err = data.test_targets - test_predictions
+        result = {}
+        result["rmse"] = np.sqrt(np.mean(err ** 2))
+        return result
+
+    def main() -> None:
+        before = perf_counter()
+        data = create_data()
+        model = LinearModel()
+        model.train(data.training_features, data.training_targets)
+        metrics = dict(evaluate(model, data))
+        after = perf_counter()
+        metrics["time (s)"] = after - before
+        for key, value in metrics.items():
+            print(key, value)
+
+    main()
diff --git a/tests/check_shapes/test_integration.py b/tests/check_shapes/integration/test_tf.py
similarity index 61%
rename from tests/check_shapes/test_integration.py
rename to tests/check_shapes/integration/test_tf.py
index 2e1237ec..8ffcd090 100644
--- a/tests/check_shapes/test_integration.py
+++ b/tests/check_shapes/integration/test_tf.py
@@ -12,49 +12,216 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# pylint: disable=import-error  # Dependencies might not be installed.
 # pylint: disable=unused-argument  # Bunch of fake functions below has unused arguments.
 # pylint: disable=no-member  # PyLint struggles with TensorFlow.
+# pylint: disable=ungrouped-imports
 
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
 from pathlib import Path
 from time import perf_counter
-from typing import Any, Callable, Optional
+from typing import Any, Callable, Mapping, Optional
 
-import numpy as np
 import pytest
-import tensorflow as tf
 from packaging.version import Version
 
+from check_shapes import Shape
 from check_shapes import check_shape as cs
 from check_shapes import check_shapes, disable_check_shapes, inherit_check_shapes
-from check_shapes.base_types import AnyNDArray
+from check_shapes.config import ShapeCheckingState
 from check_shapes.exceptions import ShapeMismatchError
 
+from ..utils import assert_has_shape
 
-def test_check_shapes__numpy() -> None:
-    @check_shapes(
-        "a: [d1, d2]",
-        "b: [d1, d3] if b is not None",
-        "return: [d2, d3]",
-    )
-    def f(a: AnyNDArray, b: AnyNDArray) -> AnyNDArray:
-        return np.zeros((3, 4))
+try:
+    import numpy as np
+    import tensorflow as tf
 
-    f(np.zeros((2, 3)), np.zeros((2, 4)))  # Don't crash...
+    requires_tf = lambda f: f
+except ImportError:
+    from unittest.mock import MagicMock
 
+    np = MagicMock()
+    tf = MagicMock()
 
-def test_check_shapes__tensorflow() -> None:
-    @check_shapes(
-        "a: [d1, d2]",
-        "b: [d1, d3] if b is not None",
-        "return: [d2, d3]",
-    )
-    def f(a: tf.Tensor, b: tf.Tensor) -> tf.Tensor:
-        return tf.zeros((3, 4))
+    requires_tf = pytest.mark.skip("TensorFlow not installed.")
+
+
+@requires_tf
+@pytest.mark.parametrize(
+    "shaped,expected_shape",
+    [
+        (tf.Variable(np.zeros(())), ()),
+        (tf.Variable(np.zeros((2, 4))), (2, 4)),
+        # pylint: disable=unexpected-keyword-arg
+        (tf.Variable(np.zeros((2, 4)), shape=[2, None]), (2, None)),
+        (tf.Variable(np.zeros((2, 4)), shape=tf.TensorShape(None)), None),
+    ],
+)
+def test_get_shape(shaped: Any, expected_shape: Shape) -> None:
+    assert_has_shape(shaped, expected_shape)
+
+
+@requires_tf
+@pytest.mark.parametrize(
+    "state,eager_expected,compiled_expected",
+    [
+        (ShapeCheckingState.ENABLED, True, True),
+        (ShapeCheckingState.EAGER_MODE_ONLY, True, False),
+        (ShapeCheckingState.DISABLED, False, False),
+    ],
+)
+def test_shape_checking_state__bool(
+    state: ShapeCheckingState, eager_expected: bool, compiled_expected: bool
+) -> None:
+    enabled = None
+
+    def run() -> None:
+        nonlocal enabled
+        enabled = bool(state)
+
+    run()
+    assert eager_expected == enabled
+
+    tf.function(run)()  # pylint: disable=no-member
+    assert compiled_expected == enabled
+
+
+@requires_tf
+def test_check_shapes() -> None:
+    N_FEATURES = 10
+    N_TRAINING_ROWS = 1_000
+    N_TEST_ROWS = 100
+
+    N_ITERATIONS = 1_000
+    LEARNING_RATE = 1e-2
+
+    class Model(ABC):
+        @abstractmethod
+        @check_shapes(
+            "training_features: [n_rows, n_features]",
+            "training_targets: [n_rows, 1]",
+        )
+        def train(self, training_features: tf.Tensor, training_targets: tf.Tensor) -> None:
+            ...
+
+        @abstractmethod
+        @check_shapes(
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def predict(self, test_features: tf.Tensor) -> tf.Tensor:
+            ...
+
+    class LinearModel(Model):
+        def __init__(self) -> None:
+            self._weights: Optional[tf.Tensor] = None  # [n_features]
+
+        @check_shapes(
+            "weights: [n_features]",
+        )
+        def set_weights(self, weights: tf.Tensor) -> None:
+            self._weights = weights
+
+        @inherit_check_shapes
+        def train(self, training_features: tf.Tensor, training_targets: tf.Tensor) -> None:
+            # We intentionally split this into a few more functions than might technically be
+            # needed, so that we have something to annotate with type checks:
+
+            @check_shapes(
+                "weights: [n_features]",
+                "return: []",
+            )
+            def loss(weights: tf.Tensor) -> tf.Tensor:
+                pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+                err = cs(pred - training_targets, "[n_rows, 1]")
+                return tf.reduce_mean(err ** 2)
+
+            @tf.function  # type: ignore
+            @check_shapes(
+                "weights: [n_features]",
+                "return: [n_features]",
+            )
+            def step(weights: tf.Tensor) -> tf.Tensor:
+                with tf.GradientTape() as g:
+                    g.watch(weights)
+                    l = cs(loss(weights), "[]")
+                loss_grads = cs(g.gradient(l, weights), "[n_features]")
+                return weights - LEARNING_RATE * loss_grads
+
+            n_features = training_features.shape[-1]
+            weights = tf.Variable(tf.zeros((n_features,)))
+            for _ in range(N_ITERATIONS):
+                weights.assign(step(weights))
+
+            self._weights = tf.constant(weights)
+
+        @inherit_check_shapes
+        def predict(self, test_features: tf.Tensor) -> tf.Tensor:
+            assert self._weights is not None
+            return self._predict(self._weights, test_features)
+
+        @staticmethod
+        @check_shapes(
+            "weights: [n_features]",
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def _predict(weights: tf.Tensor, test_features: tf.Tensor) -> tf.Tensor:
+            return test_features @ weights[:, None]
+
+    @dataclass
+    class TestData:
+        training_features: tf.Tensor
+        training_targets: tf.Tensor
+        test_features: tf.Tensor
+        test_targets: tf.Tensor
+
+        @check_shapes(
+            "self.training_features: [n_training_rows, n_features]",
+            "self.training_targets: [n_training_rows, 1]",
+            "self.test_features: [n_test_rows, n_features]",
+            "self.test_targets: [n_test_rows, 1]",
+        )
+        def __post_init__(self) -> None:
+            pass
+
+    def create_data() -> TestData:
+        tf.random.set_seed(42)
+        model = LinearModel()
+        model.set_weights(tf.range(N_FEATURES, dtype=tf.float32))
+        training_features = tf.random.uniform([N_TRAINING_ROWS, N_FEATURES], 0.0, 1.0)
+        training_targets = model.predict(training_features) + tf.random.normal(
+            [N_TRAINING_ROWS, 1], 0.0, 1.0
+        )
+        test_features = tf.random.uniform([N_TEST_ROWS, N_FEATURES], 0.0, 1.0)
+        test_targets = model.predict(test_features)
+        return TestData(training_features, training_targets, test_features, test_targets)
+
+    def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+        test_predictions = model.predict(data.test_features)
+        err = data.test_targets - test_predictions
+        result = {}
+        result["rmse"] = tf.sqrt(tf.reduce_mean(err ** 2)).numpy()
+        return result
+
+    def main() -> None:
+        before = perf_counter()
+        data = create_data()
+        model = LinearModel()
+        model.train(data.training_features, data.training_targets)
+        metrics = dict(evaluate(model, data))
+        after = perf_counter()
+        metrics["time (s)"] = after - before
+        for key, value in metrics.items():
+            print(key, value)
 
-    f(tf.zeros((2, 3)), tf.zeros((2, 4)))  # Don't crash...
+    main()
 
 
-def test_check_shapes__tensorflow__keras() -> None:
+@requires_tf
+def test_check_shapes__keras() -> None:
     # pylint: disable=arguments-differ,abstract-method,no-value-for-parameter,unexpected-keyword-arg
 
     @check_shapes(
@@ -149,6 +316,7 @@ def test_layer(join: SuperLayer) -> None:
 _UNKNOWN_SHAPE = tf.TensorShape(None)
 
 
+@requires_tf
 @pytest.mark.parametrize(
     "err_wrapper,loss_wrapper",
     [
@@ -161,7 +329,7 @@ def test_layer(join: SuperLayer) -> None:
 )
 @pytest.mark.parametrize("target_shape", [_NONE_SHAPE, _TARGET_SHAPE, _UNKNOWN_SHAPE])
 @pytest.mark.parametrize("v_shape", [_NONE_SHAPE, _V_SHAPE, _UNKNOWN_SHAPE])
-def test_check_shapes__tensorflow_compilation(
+def test_check_shapes_compilation(
     err_wrapper: Callable[[_Err], _Err],
     loss_wrapper: Callable[[_Loss], _Loss],
     target_shape: Optional[tf.TensorShape],
@@ -231,6 +399,7 @@ def loss() -> tf.Tensor:
     np.testing.assert_allclose(target, v.numpy(), atol=0.01)
 
 
+@requires_tf
 @pytest.mark.parametrize("func_wrapper", [lambda x: x, tf.function], ids=["none", "tf.function"])
 def test_check_shapes__disable__speed(func_wrapper: Callable[[Any], Any]) -> None:
     if func_wrapper is tf.function:
@@ -307,6 +476,7 @@ def f(a: tf.Tensor, b: tf.Tensor) -> tf.Tensor:
     assert t_disabled_checks < t_with_checks
 
 
+@requires_tf
 def test_issue_1864() -> None:
     @tf.function
     @check_shapes(
@@ -322,6 +492,7 @@ def f(x: tf.Tensor) -> tf.Tensor:
     f(x)
 
 
+@requires_tf
 def test_issue_1936() -> None:
     @tf.function
     @check_shapes(
@@ -347,6 +518,7 @@ def f_tf_cond(x: tf.Tensor) -> tf.Tensor:
     f_if(x)
 
 
+@requires_tf
 @pytest.mark.parametrize("model_type", ["SuperModel", "SubModel"])
 def test_tf_saved_model(model_type: str, tmp_path: Path) -> None:
     class SuperModel:
diff --git a/tests/check_shapes/integration/test_tfp.py b/tests/check_shapes/integration/test_tfp.py
new file mode 100644
index 00000000..084b4d27
--- /dev/null
+++ b/tests/check_shapes/integration/test_tfp.py
@@ -0,0 +1,49 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+# pylint: disable=ungrouped-imports
+
+from typing import Any
+
+import pytest
+
+from check_shapes import Shape
+
+from ..utils import assert_has_shape
+
+try:
+    import numpy as np
+    import tensorflow_probability as tfp
+
+    requires_tfp = lambda f: f
+except ImportError:
+    from unittest.mock import MagicMock
+
+    np = MagicMock()
+    tfp = MagicMock()
+
+    requires_tfp = pytest.mark.skip("TensorFlow-Probability not installed.")
+
+
+@requires_tfp
+@pytest.mark.parametrize(
+    "shaped,expected_shape",
+    [
+        (tfp.util.TransformedVariable(3.0, tfp.bijectors.Exp()), ()),
+        (tfp.util.TransformedVariable(np.zeros((4, 2)), tfp.bijectors.Exp()), (4, 2)),
+    ],
+)
+def test_get_shape(shaped: Any, expected_shape: Shape) -> None:
+    assert_has_shape(shaped, expected_shape)
diff --git a/tests/check_shapes/integration/test_torch.py b/tests/check_shapes/integration/test_torch.py
new file mode 100644
index 00000000..12297017
--- /dev/null
+++ b/tests/check_shapes/integration/test_torch.py
@@ -0,0 +1,183 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+# pylint: disable=ungrouped-imports
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from time import perf_counter
+from typing import Any, Mapping, Optional
+
+import pytest
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, inherit_check_shapes
+
+from ..utils import assert_has_shape
+
+try:
+    import torch
+
+    requires_torch = lambda f: f
+except ImportError:
+    from unittest.mock import MagicMock
+
+    torch = MagicMock()
+
+    requires_torch = pytest.mark.skip("PyTorch not installed.")
+
+
+@requires_torch
+@pytest.mark.parametrize(
+    "shaped,expected_shape",
+    [
+        (torch.zeros(()), ()),
+        (torch.zeros((3, 4)), (3, 4)),
+    ],
+)
+def test_get_shape(shaped: Any, expected_shape: Shape) -> None:
+    assert_has_shape(shaped, expected_shape)
+
+
+@requires_torch
+def test_check_shapes() -> None:
+    N_FEATURES = 10
+    N_TRAINING_ROWS = 1_000
+    N_TEST_ROWS = 100
+
+    N_ITERATIONS = 1_000
+    LEARNING_RATE = 1e-2
+
+    class Model(ABC):
+        @abstractmethod
+        @check_shapes(
+            "training_features: [n_rows, n_features]",
+            "training_targets: [n_rows, 1]",
+        )
+        def train(self, training_features: torch.Tensor, training_targets: torch.Tensor) -> None:
+            ...
+
+        @abstractmethod
+        @check_shapes(
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def predict(self, test_features: torch.Tensor) -> torch.Tensor:
+            ...
+
+    class LinearModel(Model):
+        def __init__(self) -> None:
+            self._weights: Optional[torch.Tensor] = None  # [n_features]
+
+        @check_shapes(
+            "weights: [n_features]",
+        )
+        def set_weights(self, weights: torch.Tensor) -> None:
+            self._weights = weights
+
+        @inherit_check_shapes
+        def train(self, training_features: torch.Tensor, training_targets: torch.Tensor) -> None:
+            # We intentionally split this into a few more functions than might technically be
+            # needed, so that we have something to annotate with type checks:
+
+            @check_shapes(
+                "weights: [n_features]",
+                "return: []",
+            )
+            def loss(weights: torch.Tensor) -> torch.Tensor:
+                pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+                err = cs(pred - training_targets, "[n_rows, 1]")
+                return torch.mean(err ** 2)
+
+            @check_shapes(
+                "weights: [n_features]",
+            )
+            def step(weights: torch.Tensor) -> None:
+                loss(weights).backward()
+                with torch.no_grad():
+                    weights -= LEARNING_RATE * weights.grad
+                    weights.grad = None
+
+            n_features = training_features.shape[-1]
+            weights = torch.zeros((n_features,), requires_grad=True)
+
+            for _ in range(N_ITERATIONS):
+                step(weights)
+
+            self._weights = weights.detach().clone()
+
+        @inherit_check_shapes
+        def predict(self, test_features: torch.Tensor) -> torch.Tensor:
+            assert self._weights is not None
+            return self._predict(self._weights, test_features)
+
+        @staticmethod
+        @check_shapes(
+            "weights: [n_features]",
+            "test_features: [n_rows, n_features]",
+            "return: [n_rows, 1]",
+        )
+        def _predict(weights: torch.Tensor, test_features: torch.Tensor) -> torch.Tensor:
+            return test_features @ weights[:, None]
+
+    @dataclass
+    class TestData:
+        training_features: torch.Tensor
+        training_targets: torch.Tensor
+        test_features: torch.Tensor
+        test_targets: torch.Tensor
+
+        @check_shapes(
+            "self.training_features: [n_training_rows, n_features]",
+            "self.training_targets: [n_training_rows, 1]",
+            "self.test_features: [n_test_rows, n_features]",
+            "self.test_targets: [n_test_rows, 1]",
+        )
+        def __post_init__(self) -> None:
+            pass
+
+    def create_data() -> TestData:
+        rng = torch.Generator()
+        rng.manual_seed(42)
+        model = LinearModel()
+        model.set_weights(torch.arange(0, N_FEATURES, dtype=torch.float32))
+        training_features = torch.rand([N_TRAINING_ROWS, N_FEATURES], generator=rng)
+        training_targets = model.predict(training_features) + torch.randn(
+            [N_TRAINING_ROWS, 1], generator=rng
+        )
+        test_features = torch.rand([N_TEST_ROWS, N_FEATURES], generator=rng)
+        test_targets = model.predict(test_features)
+        return TestData(training_features, training_targets, test_features, test_targets)
+
+    def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+        test_predictions = model.predict(data.test_features)
+        err = data.test_targets - test_predictions
+        result = {}
+        result["rmse"] = torch.sqrt(torch.mean(err ** 2)).item()
+        return result
+
+    def main() -> None:
+        before = perf_counter()
+        data = create_data()
+        model = LinearModel()
+        model.train(data.training_features, data.training_targets)
+        metrics = dict(evaluate(model, data))
+        after = perf_counter()
+        metrics["time (s)"] = after - before
+        for key, value in metrics.items():
+            print(key, value)
+
+    main()
diff --git a/tests/check_shapes/test_config.py b/tests/check_shapes/test_config.py
index ac638318..da1769ac 100644
--- a/tests/check_shapes/test_config.py
+++ b/tests/check_shapes/test_config.py
@@ -14,11 +14,12 @@
 from typing import Union
 
 import pytest
-import tensorflow as tf
 
 from check_shapes.config import (
     DocstringFormat,
     ShapeCheckingState,
+    _is_compiled_mode,
+    add_is_compiled_mode,
     disable_check_shapes,
     get_enable_check_shapes,
     get_enable_function_call_precompute,
@@ -30,7 +31,7 @@
 
 
 @pytest.mark.parametrize(
-    "state,eager_expected,function_expected",
+    "state,eager_expected,compiled_expected",
     [
         (ShapeCheckingState.ENABLED, True, True),
         (ShapeCheckingState.EAGER_MODE_ONLY, True, False),
@@ -38,19 +39,20 @@
     ],
 )
 def test_shape_checking_state__bool(
-    state: ShapeCheckingState, eager_expected: bool, function_expected: bool
+    state: ShapeCheckingState, eager_expected: bool, compiled_expected: bool
 ) -> None:
-    enabled = None
-
-    def run() -> None:
-        nonlocal enabled
-        enabled = bool(state)
-
-    run()
-    assert eager_expected == enabled
-
-    tf.function(run)()  # pylint: disable=no-member
-    assert function_expected == enabled
+    is_compiled = False
+    is_compiled_fn = lambda: is_compiled
+    add_is_compiled_mode(is_compiled_fn)
+
+    try:
+        is_compiled = False
+        assert bool(state) == eager_expected
+
+        is_compiled = True
+        assert bool(state) == compiled_expected
+    finally:
+        _is_compiled_mode.remove(is_compiled_fn)
 
 
 @pytest.mark.parametrize(
diff --git a/tests/check_shapes/test_shapes.py b/tests/check_shapes/test_shapes.py
index c5383d53..7ef72393 100644
--- a/tests/check_shapes/test_shapes.py
+++ b/tests/check_shapes/test_shapes.py
@@ -13,15 +13,12 @@
 # limitations under the License.
 from typing import Any
 
-import numpy as np
 import pytest
-import tensorflow as tf
-import tensorflow_probability as tfp
 
 from check_shapes import Shape, get_shape
 from check_shapes.exceptions import NoShapeError
 
-from .utils import TestContext
+from .utils import TestContext, assert_has_shape
 
 
 @pytest.mark.parametrize(
@@ -35,29 +32,10 @@
         ((0,), (1,)),
         ([[0.1, 0.2]], (1, 2)),
         ([[[], []]], None),
-        (np.zeros(()), ()),
-        (np.zeros((3, 4)), (3, 4)),
-        (tf.zeros(()), ()),
-        (tf.zeros((4, 3)), (4, 3)),
-        (tf.Variable(np.zeros(())), ()),
-        (tf.Variable(np.zeros((2, 4))), (2, 4)),
-        # pylint: disable=unexpected-keyword-arg
-        (tf.Variable(np.zeros((2, 4)), shape=[2, None]), (2, None)),
-        (tf.Variable(np.zeros((2, 4)), shape=tf.TensorShape(None)), None),
-        (tfp.util.TransformedVariable(3.0, tfp.bijectors.Exp()), ()),
-        (tfp.util.TransformedVariable(np.zeros((4, 2)), tfp.bijectors.Exp()), (4, 2)),
     ],
 )
 def test_get_shape(shaped: Any, expected_shape: Shape) -> None:
-    actual_shape = get_shape(shaped, TestContext())
-
-    # Numpy and tensorflow sometimes like to pretend that objects have another type than they
-    # actually do. Make sure the result actually has the right types:
-    if actual_shape is not None:
-        assert tuple == type(actual_shape)
-        assert all((actual_dim is None) or (int == type(actual_dim)) for actual_dim in actual_shape)
-
-    assert expected_shape == actual_shape
+    assert_has_shape(shaped, expected_shape)
 
 
 @pytest.mark.parametrize(
diff --git a/tests/check_shapes/utils.py b/tests/check_shapes/utils.py
index 68f9f2d7..f9294578 100644
--- a/tests/check_shapes/utils.py
+++ b/tests/check_shapes/utils.py
@@ -17,9 +17,9 @@
 import inspect
 from dataclasses import dataclass
 from enum import Enum
-from typing import Optional, Union
+from typing import Any, Optional, Union
 
-from check_shapes import Dimension, Shape, register_get_shape
+from check_shapes import Dimension, Shape, get_shape, register_get_shape
 from check_shapes.argument_ref import (
     AllElementsRef,
     ArgumentRef,
@@ -210,3 +210,15 @@ def current_line() -> int:
     """
     stack = inspect.stack()
     return stack[1].lineno
+
+
+def assert_has_shape(shaped: Any, expected_shape: Shape) -> None:
+    actual_shape = get_shape(shaped, TestContext())
+
+    # Frameworks like Numpy and tensorflow sometimes like to pretend that objects have another type
+    # than they actually do. Make sure the result actually has the right types:
+    if actual_shape is not None:
+        assert tuple == type(actual_shape)
+        assert all((actual_dim is None) or (int == type(actual_dim)) for actual_dim in actual_shape)
+
+    assert expected_shape == actual_shape
diff --git a/tests/examples/test_check_shapes_examples.py b/tests/examples/test_check_shapes_examples.py
index 6b7ac427..fd5f3f24 100644
--- a/tests/examples/test_check_shapes_examples.py
+++ b/tests/examples/test_check_shapes_examples.py
@@ -16,43 +16,11 @@
 """
 Code examples used in `check_shapes` docstrings.
 """
-
-
-def test_example__basic() -> None:
-    # This test / example is placed *above* the imports, to ensure that the example has the
-    # necessary imports.
-
-    # pylint: disable=import-outside-toplevel, redefined-outer-name, reimported
-
-    # [basic]
-
-    import tensorflow as tf
-
-    from check_shapes import check_shapes
-
-    @tf.function
-    @check_shapes(
-        "features: [batch..., n_features]",
-        "weights: [n_features]",
-        "return: [batch...]",
-    )
-    def linear_model(features: tf.Tensor, weights: tf.Tensor) -> tf.Tensor:
-        return tf.einsum("...i,i -> ...", features, weights)
-
-    # [basic]
-
-    w = tf.ones((3,))
-    for batch_shape in [(), (2,), (2, 4)]:
-        f = tf.ones(batch_shape + (3,))
-        linear_model(f, w)
-
-
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
-from typing import Iterable, Mapping, Optional, Sequence, Tuple
+from typing import Any, Iterable, Mapping, Optional, Sequence, Tuple
 from unittest.mock import MagicMock
 
-import numpy as np
 import pytest
 
 from check_shapes import (
@@ -75,9 +43,49 @@ def linear_model(features: tf.Tensor, weights: tf.Tensor) -> tf.Tensor:
     set_enable_function_call_precompute,
     set_rewrite_docstrings,
 )
-from check_shapes.base_types import AnyNDArray
+
+# Some versions of NumPy has generic ndarrays while other don't:
+ndarray = Any
+
+try:
+    import numpy as np
+
+    requires_np = lambda f: f
+except ImportError:
+    from unittest.mock import MagicMock
+
+    np = MagicMock()
+
+    requires_np = pytest.mark.skip("NumPy not installed.")
+
+
+@requires_np
+def test_example__basic() -> None:
+    # pylint: disable=import-outside-toplevel, redefined-outer-name, reimported
+
+    # [basic]
+
+    import numpy as np
+
+    from check_shapes import check_shapes
+
+    @check_shapes(
+        "features: [batch..., n_features]",
+        "weights: [n_features]",
+        "return: [batch...]",
+    )
+    def linear_model(features: ndarray, weights: ndarray) -> ndarray:
+        return np.einsum("...i,i -> ...", features, weights)
+
+    # [basic]
+
+    w = np.ones((3,))
+    for batch_shape in [(), (2,), (2, 4)]:
+        f = np.ones(batch_shape + (3,))
+        linear_model(f, w)
 
 
+@requires_np
 def test_example__disable__manual() -> None:
     old_value = get_enable_check_shapes()
 
@@ -93,6 +101,7 @@ def test_example__disable__manual() -> None:
         set_enable_check_shapes(old_value)
 
 
+@requires_np
 def test_example__disable__context_manager() -> None:
     def performance_sensitive_function() -> None:
         pass
@@ -105,6 +114,7 @@ def performance_sensitive_function() -> None:
     # [disable__context_manager]
 
 
+@requires_np
 def test_example__pytest_fixture() -> None:
     # pylint: disable=unused-variable
     # [pytest_fixture]
@@ -125,20 +135,21 @@ def enable_shape_checks() -> Iterable[None]:
     # [pytest_fixture]
 
 
+@requires_np
 def test_example__argument_ref_attribute() -> None:
     # [argument_ref_attribute]
 
     @dataclass
     class Statistics:
-        mean: AnyNDArray
-        std: AnyNDArray
+        mean: ndarray
+        std: ndarray
 
     @check_shapes(
         "data: [n_rows, n_columns]",
         "return.mean: [n_columns]",
         "return.std: [n_columns]",
     )
-    def compute_statistics(data: AnyNDArray) -> Statistics:
+    def compute_statistics(data: ndarray) -> Statistics:
         return Statistics(np.mean(data, axis=0), np.std(data, axis=0))
 
     # [argument_ref_attribute]
@@ -146,6 +157,7 @@ def compute_statistics(data: AnyNDArray) -> Statistics:
     compute_statistics(np.ones((4, 3)))
 
 
+@requires_np
 def test_example__argument_ref_index() -> None:
     # [argument_ref_index]
 
@@ -154,7 +166,7 @@ def test_example__argument_ref_index() -> None:
         "return[0]: [n_columns]",
         "return[1]: [n_columns]",
     )
-    def compute_mean_and_std(data: AnyNDArray) -> Tuple[AnyNDArray, AnyNDArray]:
+    def compute_mean_and_std(data: ndarray) -> Tuple[ndarray, ndarray]:
         return np.mean(data, axis=0), np.std(data, axis=0)
 
     # [argument_ref_index]
@@ -162,6 +174,7 @@ def compute_mean_and_std(data: AnyNDArray) -> Tuple[AnyNDArray, AnyNDArray]:
     compute_mean_and_std(np.ones((4, 3)))
 
 
+@requires_np
 def test_example__argument_ref_all() -> None:
     # [argument_ref_all]
 
@@ -169,7 +182,7 @@ def test_example__argument_ref_all() -> None:
         "data[all]: [., n_columns]",
         "return: [., n_columns]",
     )
-    def concat_rows(data: Sequence[AnyNDArray]) -> AnyNDArray:
+    def concat_rows(data: Sequence[ndarray]) -> ndarray:
         return np.concatenate(data, axis=0)
 
     concat_rows(
@@ -182,6 +195,7 @@ def concat_rows(data: Sequence[AnyNDArray]) -> AnyNDArray:
     # [argument_ref_all]
 
 
+@requires_np
 def test_example__argument_ref_keys() -> None:
     # [argument_ref_keys]
 
@@ -202,6 +216,7 @@ def sum_key_lengths(data: Mapping[Tuple[int, ...], str]) -> int:
     # [argument_ref_keys]
 
 
+@requires_np
 def test_example__argument_ref_values() -> None:
     # [argument_ref_values]
 
@@ -209,7 +224,7 @@ def test_example__argument_ref_values() -> None:
         "data.values(): [., n_columns]",
         "return: [., n_columns]",
     )
-    def concat_rows(data: Mapping[str, AnyNDArray]) -> AnyNDArray:
+    def concat_rows(data: Mapping[str, ndarray]) -> ndarray:
         return np.concatenate(list(data.values()), axis=0)
 
     concat_rows(
@@ -222,6 +237,7 @@ def concat_rows(data: Mapping[str, AnyNDArray]) -> AnyNDArray:
     # [argument_ref_values]
 
 
+@requires_np
 def test_example__argument_ref_optional() -> None:
     # [argument_ref_optional]
 
@@ -231,11 +247,11 @@ def test_example__argument_ref_optional() -> None:
         "return: [n_rows_1, n_rows_2]",
     )
     def squared_exponential_kernel(
-        variance: float, x1: AnyNDArray, x2: Optional[AnyNDArray] = None
-    ) -> AnyNDArray:
+        variance: float, x1: ndarray, x2: Optional[ndarray] = None
+    ) -> ndarray:
         if x2 is None:
             x2 = x1
-        cov: AnyNDArray = variance * np.exp(
+        cov: ndarray = variance * np.exp(
             -0.5 * np.sum((x1[:, None, :] - x2[None, :, :]) ** 2, axis=2)
         )
         return cov
@@ -246,6 +262,7 @@ def squared_exponential_kernel(
     # [argument_ref_optional]
 
 
+@requires_np
 def test_example__dimension_spec_constant() -> None:
     # [dimension_spec_constant]
 
@@ -253,7 +270,7 @@ def test_example__dimension_spec_constant() -> None:
         "v1: [2]",
         "v2: [2]",
     )
-    def vector_2d_distance(v1: AnyNDArray, v2: AnyNDArray) -> float:
+    def vector_2d_distance(v1: ndarray, v2: ndarray) -> float:
         return float(np.sqrt(np.sum((v1 - v2) ** 2)))
 
     # [dimension_spec_constant]
@@ -261,6 +278,7 @@ def vector_2d_distance(v1: AnyNDArray, v2: AnyNDArray) -> float:
     vector_2d_distance(np.ones((2,)), np.ones((2,)))
 
 
+@requires_np
 def test_example__dimension_spec_variable() -> None:
     # [dimension_spec_variable]
 
@@ -268,7 +286,7 @@ def test_example__dimension_spec_variable() -> None:
         "v1: [d]",
         "v2: [d]",
     )
-    def vector_distance(v1: AnyNDArray, v2: AnyNDArray) -> float:
+    def vector_distance(v1: ndarray, v2: ndarray) -> float:
         return float(np.sqrt(np.sum((v1 - v2) ** 2)))
 
     # [dimension_spec_variable]
@@ -276,13 +294,14 @@ def vector_distance(v1: AnyNDArray, v2: AnyNDArray) -> float:
     vector_distance(np.ones((3,)), np.ones((3,)))
 
 
+@requires_np
 def test_example__dimension_spec_anonymous__dot() -> None:
     # [dimension_spec_anonymous__dot]
 
     @check_shapes(
         "v: [.]",
     )
-    def vector_length(v: AnyNDArray) -> float:
+    def vector_length(v: ndarray) -> float:
         return float(np.sqrt(np.sum(v ** 2)))
 
     # [dimension_spec_anonymous__dot]
@@ -290,13 +309,14 @@ def vector_length(v: AnyNDArray) -> float:
     vector_length(np.ones((3,)))
 
 
+@requires_np
 def test_example__dimension_spec_anonymous__none() -> None:
     # [dimension_spec_anonymous__none]
 
     @check_shapes(
         "v: [None]",
     )
-    def vector_length(v: AnyNDArray) -> float:
+    def vector_length(v: ndarray) -> float:
         return float(np.sqrt(np.sum(v ** 2)))
 
     # [dimension_spec_anonymous__none]
@@ -304,6 +324,7 @@ def vector_length(v: AnyNDArray) -> float:
     vector_length(np.ones((3,)))
 
 
+@requires_np
 def test_example__dimension_spec_variable_rank__star() -> None:
     # [dimension_spec_variable_rank__star]
 
@@ -311,8 +332,8 @@ def test_example__dimension_spec_variable_rank__star() -> None:
         "x: [*batch, n_columns]",
         "return: [*batch]",
     )
-    def batch_mean(x: AnyNDArray) -> AnyNDArray:
-        mean: AnyNDArray = np.mean(x, axis=-1)
+    def batch_mean(x: ndarray) -> ndarray:
+        mean: ndarray = np.mean(x, axis=-1)
         return mean
 
     # [dimension_spec_variable_rank__star]
@@ -322,6 +343,7 @@ def batch_mean(x: AnyNDArray) -> AnyNDArray:
         batch_mean(x)
 
 
+@requires_np
 def test_example__dimension_spec_variable_rank__ellipsis() -> None:
     # [dimension_spec_variable_rank__ellipsis]
 
@@ -329,8 +351,8 @@ def test_example__dimension_spec_variable_rank__ellipsis() -> None:
         "x: [batch..., n_columns]",
         "return: [batch...]",
     )
-    def batch_mean(x: AnyNDArray) -> AnyNDArray:
-        mean: AnyNDArray = np.mean(x, axis=-1)
+    def batch_mean(x: ndarray) -> ndarray:
+        mean: ndarray = np.mean(x, axis=-1)
         return mean
 
     # [dimension_spec_variable_rank__ellipsis]
@@ -340,13 +362,14 @@ def batch_mean(x: AnyNDArray) -> AnyNDArray:
         batch_mean(x)
 
 
+@requires_np
 def test_example__dimension_spec_anonymous_variable_rank__star() -> None:
     # [dimension_spec_anonymous_variable_rank__star]
 
     @check_shapes(
         "x: [*]",
     )
-    def rank(x: AnyNDArray) -> int:
+    def rank(x: ndarray) -> int:
         return len(x.shape)
 
     # [dimension_spec_anonymous_variable_rank__star]
@@ -356,13 +379,14 @@ def rank(x: AnyNDArray) -> int:
         rank(x)
 
 
+@requires_np
 def test_example__dimension_spec_anonymous_variable_rank__ellipsis() -> None:
     # [dimension_spec_anonymous_variable_rank__ellipsis]
 
     @check_shapes(
         "x: [...]",
     )
-    def rank(x: AnyNDArray) -> int:
+    def rank(x: ndarray) -> int:
         return len(x.shape)
 
     # [dimension_spec_anonymous_variable_rank__ellipsis]
@@ -372,6 +396,7 @@ def rank(x: AnyNDArray) -> int:
         rank(x)
 
 
+@requires_np
 def test_example__dimension_spec__scalar() -> None:
     # [dimension_spec__scalar]
 
@@ -379,8 +404,8 @@ def test_example__dimension_spec__scalar() -> None:
         "x: [...]",
         "return: []",
     )
-    def mean(x: AnyNDArray) -> AnyNDArray:
-        mean: AnyNDArray = np.sum(x) / x.size
+    def mean(x: ndarray) -> ndarray:
+        mean: ndarray = np.sum(x) / x.size
         return mean
 
     # [dimension_spec__scalar]
@@ -390,6 +415,7 @@ def mean(x: AnyNDArray) -> AnyNDArray:
         mean(x)
 
 
+@requires_np
 def test_example__dimension_spec_broadcast() -> None:
 
     # [dimension_spec_broadcast]
@@ -399,7 +425,7 @@ def test_example__dimension_spec_broadcast() -> None:
         "b: [broadcast batch...]",
         "return: [batch...]",
     )
-    def add(a: AnyNDArray, b: AnyNDArray) -> AnyNDArray:
+    def add(a: ndarray, b: ndarray) -> ndarray:
         return a + b
 
     # [dimension_spec_broadcast]
@@ -407,6 +433,7 @@ def add(a: AnyNDArray, b: AnyNDArray) -> AnyNDArray:
     add(np.ones((3, 1)), np.ones((1, 4)))
 
 
+@requires_np
 def test_example__bool_spec_argument_ref() -> None:
     # pylint: disable=unused-argument
 
@@ -417,7 +444,7 @@ def test_example__bool_spec_argument_ref() -> None:
         "b: [broadcast batch...] if check_b",
         "return: [batch...]",
     )
-    def add(a: AnyNDArray, b: AnyNDArray, check_a: bool = True, check_b: bool = True) -> AnyNDArray:
+    def add(a: ndarray, b: ndarray, check_a: bool = True, check_b: bool = True) -> ndarray:
         return a + b
 
     add(np.ones((3, 1)), np.ones((1, 4)), check_b=False)
@@ -425,6 +452,7 @@ def add(a: AnyNDArray, b: AnyNDArray, check_a: bool = True, check_b: bool = True
     # [bool_spec_argument_ref]
 
 
+@requires_np
 def test_example__bool_spec_argument_ref_is_none() -> None:
     # pylint: disable=unused-argument
 
@@ -436,10 +464,10 @@ def test_example__bool_spec_argument_ref_is_none() -> None:
         "return: [n_a, n_a] if b is None",
         "return: [n_a, n_b] if b is not None",
     )
-    def square(a: AnyNDArray, b: Optional[AnyNDArray] = None) -> AnyNDArray:
+    def square(a: ndarray, b: Optional[ndarray] = None) -> ndarray:
         if b is None:
             b = a
-        result: AnyNDArray = a[:, None] * b[None, :]
+        result: ndarray = a[:, None] * b[None, :]
         return result
 
     square(np.ones((3,)))
@@ -448,6 +476,7 @@ def square(a: AnyNDArray, b: Optional[AnyNDArray] = None) -> AnyNDArray:
     # [bool_spec_argument_ref_is_none]
 
 
+@requires_np
 def test_example__bool_spec_or() -> None:
     # pylint: disable=unused-argument
 
@@ -459,12 +488,12 @@ def test_example__bool_spec_or() -> None:
         "return: [batch...]",
     )
     def add(
-        a: AnyNDArray,
-        b: AnyNDArray,
+        a: ndarray,
+        b: ndarray,
         check_all: bool = False,
         check_a: bool = True,
         check_b: bool = True,
-    ) -> AnyNDArray:
+    ) -> ndarray:
         return a + b
 
     add(np.ones((3, 1)), np.ones((1, 4)), check_b=False)
@@ -472,6 +501,7 @@ def add(
     # [bool_spec_or]
 
 
+@requires_np
 def test_example__bool_spec_and() -> None:
     # pylint: disable=unused-argument
 
@@ -483,12 +513,12 @@ def test_example__bool_spec_and() -> None:
         "return: [batch...]",
     )
     def add(
-        a: AnyNDArray,
-        b: AnyNDArray,
+        a: ndarray,
+        b: ndarray,
         enable_checks: bool = True,
         check_a: bool = True,
         check_b: bool = True,
-    ) -> AnyNDArray:
+    ) -> ndarray:
         return a + b
 
     add(np.ones((3, 1)), np.ones((1, 4)), check_b=False)
@@ -496,6 +526,7 @@ def add(
     # [bool_spec_and]
 
 
+@requires_np
 def test_example__bool_spec_not() -> None:
     # pylint: disable=unused-argument
 
@@ -506,7 +537,7 @@ def test_example__bool_spec_not() -> None:
         "b: [broadcast batch...] if not disable_checks",
         "return: [batch...]",
     )
-    def add(a: AnyNDArray, b: AnyNDArray, disable_checks: bool = False) -> AnyNDArray:
+    def add(a: ndarray, b: ndarray, disable_checks: bool = False) -> ndarray:
         return a + b
 
     add(np.ones((3, 1)), np.ones((1, 4)))
@@ -514,6 +545,7 @@ def add(a: AnyNDArray, b: AnyNDArray, disable_checks: bool = False) -> AnyNDArra
     # [bool_spec_not]
 
 
+@requires_np
 def test_example__bool_spec__composition() -> None:
     # pylint: disable=unused-argument
 
@@ -529,7 +561,7 @@ def test_example__bool_spec__composition() -> None:
         "return: [i, 1] if (not a_vector) and b_vector",
         "return: [i, k] if (not a_vector) and (not b_vector)",
     )
-    def multiply(a: AnyNDArray, b: AnyNDArray, a_vector: bool, b_vector: bool) -> AnyNDArray:
+    def multiply(a: ndarray, b: ndarray, a_vector: bool, b_vector: bool) -> ndarray:
         if a_vector:
             a = a[None, :]
         if b_vector:
@@ -546,6 +578,7 @@ def multiply(a: AnyNDArray, b: AnyNDArray, a_vector: bool, b_vector: bool) -> An
     multiply(np.ones((3, 4)), np.ones((4, 5)), a_vector=False, b_vector=False)
 
 
+@requires_np
 def test_example__note_spec__global() -> None:
     # [note_spec__global]
 
@@ -555,8 +588,8 @@ def test_example__note_spec__global() -> None:
         "weights: [n_features]",
         "return: [batch...]",
     )
-    def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
-        prediction: AnyNDArray = np.einsum("...i,i -> ...", features, weights)
+    def linear_model(features: ndarray, weights: ndarray) -> ndarray:
+        prediction: ndarray = np.einsum("...i,i -> ...", features, weights)
         return prediction
 
     # [note_spec__global]
@@ -564,6 +597,7 @@ def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
     linear_model(np.ones((4, 3)), np.ones((3,)))
 
 
+@requires_np
 def test_example__note_spec__local() -> None:
     # [note_spec__local]
 
@@ -572,8 +606,8 @@ def test_example__note_spec__local() -> None:
         "weights: [n_features] # linear_model currently only supports a single output.",
         "return: [batch...]",
     )
-    def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
-        prediction: AnyNDArray = np.einsum("...i,i -> ...", features, weights)
+    def linear_model(features: ndarray, weights: ndarray) -> ndarray:
+        prediction: ndarray = np.einsum("...i,i -> ...", features, weights)
         return prediction
 
     # [note_spec__local]
@@ -581,6 +615,7 @@ def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
     linear_model(np.ones((4, 3)), np.ones((3,)))
 
 
+@requires_np
 def test_example__reuse__inherit_check_shapes() -> None:
     # [reuse__inherit_check_shapes]
 
@@ -590,19 +625,19 @@ class Model(ABC):
             "features: [batch..., n_features]",
             "return: [batch...]",
         )
-        def predict(self, features: AnyNDArray) -> AnyNDArray:
+        def predict(self, features: ndarray) -> ndarray:
             pass
 
     class LinearModel(Model):
         @check_shapes(
             "weights: [n_features]",
         )
-        def __init__(self, weights: AnyNDArray) -> None:
+        def __init__(self, weights: ndarray) -> None:
             self._weights = weights
 
         @inherit_check_shapes
-        def predict(self, features: AnyNDArray) -> AnyNDArray:
-            prediction: AnyNDArray = np.einsum("...i,i -> ...", features, self._weights)
+        def predict(self, features: ndarray) -> ndarray:
+            prediction: ndarray = np.einsum("...i,i -> ...", features, self._weights)
             return prediction
 
     # [reuse__inherit_check_shapes]
@@ -611,6 +646,7 @@ def predict(self, features: AnyNDArray) -> AnyNDArray:
     model.predict(np.ones((10, 3)))
 
 
+@requires_np
 def test_example__reuse__functional() -> None:
     # [reuse__functional]
 
@@ -621,11 +657,11 @@ def test_example__reuse__functional() -> None:
     )
 
     @check_metric_shapes
-    def rmse(actual: AnyNDArray, predicted: AnyNDArray) -> float:
+    def rmse(actual: ndarray, predicted: ndarray) -> float:
         return float(np.mean(np.sqrt(np.mean((predicted - actual) ** 2, axis=-1))))
 
     @check_metric_shapes
-    def mape(actual: AnyNDArray, predicted: AnyNDArray) -> float:
+    def mape(actual: ndarray, predicted: ndarray) -> float:
         return float(np.mean(np.abs((predicted - actual) / actual)))
 
     # [reuse__functional]
@@ -636,6 +672,7 @@ def mape(actual: AnyNDArray, predicted: AnyNDArray) -> float:
     mape(actual, predicted)
 
 
+@requires_np
 def test_example__reuse__get_check_shapes() -> None:
     # [reuse__get_check_shapes]
 
@@ -645,14 +682,14 @@ class Model(ABC):
             "features: [batch..., n_features]",
             "return: [batch...]",
         )
-        def predict(self, features: AnyNDArray) -> AnyNDArray:
+        def predict(self, features: ndarray) -> ndarray:
             pass
 
     @check_shapes(
         "test_features: [n_rows, n_features]",
         "test_labels: [n_rows]",
     )
-    def evaluate_model(model: Model, test_features: AnyNDArray, test_labels: AnyNDArray) -> float:
+    def evaluate_model(model: Model, test_features: ndarray, test_labels: ndarray) -> float:
         prediction = model.predict(test_features)
         return float(np.mean(np.sqrt(np.mean((prediction - test_labels) ** 2, axis=-1))))
 
@@ -662,7 +699,7 @@ def test_evaluate_model() -> None:
         fake_predictions = np.ones((10,))
 
         @get_check_shapes(Model.predict)
-        def fake_predict(features: AnyNDArray) -> AnyNDArray:
+        def fake_predict(features: ndarray) -> ndarray:
             assert features is fake_features
             return fake_predictions
 
@@ -675,6 +712,7 @@ def fake_predict(features: AnyNDArray) -> AnyNDArray:
     test_evaluate_model()
 
 
+@requires_np
 def test_example__intermediate_results() -> None:
     # [intermediate_results]
 
@@ -684,13 +722,13 @@ def test_example__intermediate_results() -> None:
         "test_labels: [n_rows, n_labels]",
         "return: []",
     )
-    def loss(weights: AnyNDArray, test_features: AnyNDArray, test_labels: AnyNDArray) -> AnyNDArray:
-        prediction: AnyNDArray = check_shape(test_features @ weights, "[n_rows, n_labels]")
-        error: AnyNDArray = check_shape(prediction - test_labels, "[n_rows, n_labels]")
+    def loss(weights: ndarray, test_features: ndarray, test_labels: ndarray) -> ndarray:
+        prediction: ndarray = check_shape(test_features @ weights, "[n_rows, n_labels]")
+        error: ndarray = check_shape(prediction - test_labels, "[n_rows, n_labels]")
         square_error = check_shape(error ** 2, "[n_rows, n_labels]")
         mean_square_error = check_shape(np.mean(square_error, axis=-1), "[n_rows]")
         root_mean_square_error = check_shape(np.sqrt(mean_square_error), "[n_rows]")
-        loss: AnyNDArray = np.mean(root_mean_square_error)
+        loss: ndarray = np.mean(root_mean_square_error)
         return loss
 
     # [intermediate_results]
@@ -702,14 +740,15 @@ def loss(weights: AnyNDArray, test_features: AnyNDArray, test_labels: AnyNDArray
     )
 
 
+@requires_np
 def test_example__shape_checker__raw() -> None:
     # [shape_checker__raw]
 
-    def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
+    def linear_model(features: ndarray, weights: ndarray) -> ndarray:
         checker = ShapeChecker()
         checker.check_shape(features, "[batch..., n_features]")
         checker.check_shape(weights, "[n_features]")
-        prediction: AnyNDArray = checker.check_shape(
+        prediction: ndarray = checker.check_shape(
             np.einsum("...i,i -> ...", features, weights), "[batch...]"
         )
         return prediction
@@ -719,6 +758,7 @@ def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
     linear_model(np.ones((4, 3)), np.ones((3,)))
 
 
+@requires_np
 def test_example__disable_function_call_precompute() -> None:
     def buggy_function() -> None:
         pass
@@ -739,6 +779,7 @@ def buggy_function() -> None:
         set_enable_function_call_precompute(old_value)
 
 
+@requires_np
 def test_example__doc_rewrite() -> None:
 
     # [doc_rewrite__definition]
@@ -748,7 +789,7 @@ def test_example__doc_rewrite() -> None:
         "weights: [n_features]",
         "return: [batch...]",
     )
-    def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
+    def linear_model(features: ndarray, weights: ndarray) -> ndarray:
         """
         Computes a prediction from a linear model.
 
@@ -756,7 +797,7 @@ def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
         :param weights: Model weights.
         :returns: Model predictions.
         """
-        prediction: AnyNDArray = np.einsum("...i,i -> ...", features, weights)
+        prediction: ndarray = np.einsum("...i,i -> ...", features, weights)
         return prediction
 
     # [doc_rewrite__definition]
@@ -785,6 +826,7 @@ def linear_model(features: AnyNDArray, weights: AnyNDArray) -> AnyNDArray:
     assert expected_doc == linear_model.__doc__
 
 
+@requires_np
 def test_example__doc_rewrite__disable() -> None:
 
     old_rewrite_docstrings = get_rewrite_docstrings()
@@ -797,6 +839,7 @@ def test_example__doc_rewrite__disable() -> None:
         set_rewrite_docstrings(old_rewrite_docstrings)
 
 
+@requires_np
 def test_example__custom_type() -> None:
     # pylint: disable=protected-access,unused_variable
 
@@ -806,7 +849,7 @@ class LinearModel:
         @check_shapes(
             "weights: [n_features]",
         )
-        def __init__(self, weights: AnyNDArray) -> None:
+        def __init__(self, weights: ndarray) -> None:
             self._weights = weights
 
         @check_shapes(
@@ -814,8 +857,8 @@ def __init__(self, weights: AnyNDArray) -> None:
             "features: [batch..., n_features]",
             "return: [batch...]",
         )
-        def predict(self, features: AnyNDArray) -> AnyNDArray:
-            prediction: AnyNDArray = np.einsum("...i,i -> ...", features, self._weights)
+        def predict(self, features: ndarray) -> ndarray:
+            prediction: ndarray = np.einsum("...i,i -> ...", features, self._weights)
             return prediction
 
     @register_get_shape(LinearModel)
@@ -829,7 +872,7 @@ def get_linear_model_shape(model: LinearModel, context: ErrorContext) -> Shape:
         "test_labels: [n_rows]",
         "return: []",
     )
-    def loss(model: LinearModel, test_features: AnyNDArray, test_labels: AnyNDArray) -> float:
+    def loss(model: LinearModel, test_features: ndarray, test_labels: ndarray) -> float:
         prediction = model.predict(test_features)
         return float(np.mean(np.sqrt(np.mean((prediction - test_labels) ** 2, axis=-1))))
 

From befedf09b9e20389f2c45bcbf34b09621f68cd1f Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Mon, 10 Oct 2022 09:31:42 +0100
Subject: [PATCH 07/10] Support shapes of tfp..._TensorCoercible class. (#26)

---
 check_shapes/__init__.py                   |  2 +
 check_shapes/integration/tf.py             | 14 +----
 check_shapes/integration/tfp.py            | 63 ++++++++++++++++++++++
 poetry.lock                                | 12 ++---
 poetryenvs/jax_max/poetry.lock             | 12 ++---
 poetryenvs/jax_min/poetry.lock             | 12 ++---
 poetryenvs/np_max/poetry.lock              | 12 ++---
 poetryenvs/np_min/poetry.lock              | 12 ++---
 poetryenvs/py_max/poetry.lock              | 12 ++---
 poetryenvs/py_min/poetry.lock              | 12 ++---
 poetryenvs/tf_max/poetry.lock              |  8 +--
 poetryenvs/tf_min/poetry.lock              |  6 +--
 poetryenvs/tfp_max/poetry.lock             |  8 +--
 poetryenvs/tfp_min/poetry.lock             |  6 +--
 poetryenvs/torch_max/poetry.lock           | 12 ++---
 poetryenvs/torch_min/poetry.lock           | 12 ++---
 pyproject.toml                             |  1 +
 tests/check_shapes/integration/test_tfp.py | 20 +++++++
 18 files changed, 156 insertions(+), 80 deletions(-)
 create mode 100644 check_shapes/integration/tfp.py

diff --git a/check_shapes/__init__.py b/check_shapes/__init__.py
index f3cbfedf..3f32c5c8 100644
--- a/check_shapes/__init__.py
+++ b/check_shapes/__init__.py
@@ -33,10 +33,12 @@
 from .error_contexts import ErrorContext
 from .inheritance import inherit_check_shapes
 from .integration.tf import install_tf_integration
+from .integration.tfp import install_tfp_integration
 from .integration.torch import install_torch_integration
 from .shapes import get_shape, register_get_shape
 
 install_tf_integration()
+install_tfp_integration()
 install_torch_integration()
 
 __version__ = "0.1.0"
diff --git a/check_shapes/integration/tf.py b/check_shapes/integration/tf.py
index 19907362..03fbed4a 100644
--- a/check_shapes/integration/tf.py
+++ b/check_shapes/integration/tf.py
@@ -39,24 +39,14 @@ def install_tf_integration() -> None:
     # Support for getting shapes of tf types
     ########################################
 
-    tf_types = [tf.Tensor, tf.Variable]
-
-    try:
-        import tensorflow_probability as tfp
-
-        tf_types.append(tfp.util.DeferredTensor)
-    except ImportError:
-        pass  # TensorFlow probability not installed - that's ok.
-
+    @register_get_shape(tf.Tensor)
+    @register_get_shape(tf.Variable)
     def get_tensorflow_shape(shaped: Any, context: ErrorContext) -> Shape:
         shape = shaped.shape
         if not shape:
             return None
         return tuple(shape)
 
-    for tf_type in tf_types:
-        register_get_shape(tf_type)(get_tensorflow_shape)
-
     ################################################
     # Support for ShapeCheckingState.EAGER_MODE_ONLY
     ################################################
diff --git a/check_shapes/integration/tfp.py b/check_shapes/integration/tfp.py
new file mode 100644
index 00000000..e5ccd482
--- /dev/null
+++ b/check_shapes/integration/tfp.py
@@ -0,0 +1,63 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+
+# pylint: disable=import-outside-toplevel
+
+from typing import Any
+
+from packaging.version import Version
+
+from ..base_types import Shape
+from ..error_contexts import ErrorContext
+from ..shapes import register_get_shape
+
+
+def install_tfp_integration() -> bool:
+    """
+    Install various hooks to support TensorFlow-Probability.
+
+    If TensorFlow-Probability is not installed in this environment this function does nothing.
+
+    :return: Whether TensorFlow-Probability support hooks actually were installed.
+    """
+    try:
+        import tensorflow_probability as tfp
+    except ImportError:
+        return False  # TensorFlow-Probability not installed - don't install integrations.
+
+    @register_get_shape(tfp.util.DeferredTensor)
+    def get_tensorflow_shape(shaped: Any, context: ErrorContext) -> Shape:
+        shape = shaped.shape
+        if not shape:
+            return None
+        return tuple(shape)
+
+    # pylint: disable=protected-access  # To access the _TensorCoercible
+
+    if Version(tfp.__version__) < Version("0.14.0"):
+        register_get_shape(
+            tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible
+        )(get_tensorflow_shape)
+    else:
+
+        @register_get_shape(
+            tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible
+        )
+        def get_tensor_coercible_shape(shaped: Any, context: ErrorContext) -> Shape:
+            shape = shaped.shape()
+            if not shape:
+                return None
+            return tuple(shape)
+
+    return True
diff --git a/poetry.lock b/poetry.lock
index 366563fe..a5344e3e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -286,7 +286,7 @@ python-versions = "*"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -383,7 +383,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -633,7 +633,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
@@ -683,7 +683,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "59ff57f5e0928ef7a043161fcfb0810f6db0a41f0f55cbc681d9a250ea05de4e"
+content-hash = "ef9ab82d3861259ab8d8f20c004c6d25b395a0b15fd3364578b289ea4c57dc47"
 
 [metadata.files]
 alabaster = [
@@ -1172,8 +1172,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/jax_max/poetry.lock b/poetryenvs/jax_max/poetry.lock
index 2c4ed650..a43cfc1e 100644
--- a/poetryenvs/jax_max/poetry.lock
+++ b/poetryenvs/jax_max/poetry.lock
@@ -378,7 +378,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -473,7 +473,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -732,7 +732,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
@@ -782,7 +782,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "bd6f4a00b830fb132abd71e6d4689ef388b496756079eefbaffe1b1d17e12e53"
+content-hash = "e0bc616bf97a15857487de85ec06cf2049cafc223bb403fbff5c1b5821e9a449"
 
 [metadata.files]
 absl-py = [
@@ -1357,8 +1357,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/jax_min/poetry.lock b/poetryenvs/jax_min/poetry.lock
index 92e71447..36b52b05 100644
--- a/poetryenvs/jax_min/poetry.lock
+++ b/poetryenvs/jax_min/poetry.lock
@@ -363,7 +363,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -460,7 +460,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -721,7 +721,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
@@ -771,7 +771,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "bafea3f5c2cd4956b4c0fa6376ca06302987576f04a068b451b1c46681164edd"
+content-hash = "97ef691e0e045fe7557dd59ff38814bfac1b6d6c4afdf79e26f09102023b54b4"
 
 [metadata.files]
 absl-py = [
@@ -1341,8 +1341,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/np_max/poetry.lock b/poetryenvs/np_max/poetry.lock
index 9620dd7a..a2f45886 100644
--- a/poetryenvs/np_max/poetry.lock
+++ b/poetryenvs/np_max/poetry.lock
@@ -273,7 +273,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -368,7 +368,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -616,7 +616,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
@@ -654,7 +654,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "8e0be8d2f6b069ce698001de5943d2ad5e44b62a8aa0953993dcbe1f8742c706"
+content-hash = "a0829c0261fd33f9e088ad848af46b682c81c67c0161a22ea7e9a46a87b3af5d"
 
 [metadata.files]
 alabaster = [
@@ -1172,8 +1172,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/np_min/poetry.lock b/poetryenvs/np_min/poetry.lock
index ff41f777..08f765ac 100644
--- a/poetryenvs/np_min/poetry.lock
+++ b/poetryenvs/np_min/poetry.lock
@@ -294,7 +294,7 @@ python-versions = ">=3.5"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -391,7 +391,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -641,7 +641,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
@@ -691,7 +691,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "b91e98b4f50109e0889be2668d73480f316888c62e637e960cfc9b20c35b5652"
+content-hash = "972829fcb6f403cc059e65ba83e69cd40676ecd6c7a744f19d6e7abccda3431c"
 
 [metadata.files]
 alabaster = [
@@ -1203,8 +1203,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/py_max/poetry.lock b/poetryenvs/py_max/poetry.lock
index f819f201..5442bc6c 100644
--- a/poetryenvs/py_max/poetry.lock
+++ b/poetryenvs/py_max/poetry.lock
@@ -265,7 +265,7 @@ python-versions = "*"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -360,7 +360,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -608,7 +608,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
@@ -646,7 +646,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "82aed58a6dadbbc2bdbcad0d89f915fe3a08dc495560237f4b4f57f986c8a0ff"
+content-hash = "b6a94b9557ee0d555ebfb320e3a6c1fb76c4cb1e588deb758a4e4034c626e9fb"
 
 [metadata.files]
 alabaster = [
@@ -1131,8 +1131,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/py_min/poetry.lock b/poetryenvs/py_min/poetry.lock
index 8a884fb1..483bf71d 100644
--- a/poetryenvs/py_min/poetry.lock
+++ b/poetryenvs/py_min/poetry.lock
@@ -286,7 +286,7 @@ python-versions = "*"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -383,7 +383,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -633,7 +633,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
@@ -683,7 +683,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "3d5c104106c5ddf59f2ce3a54112258feac68773da9a7a108c021f62482dc3f7"
+content-hash = "356d36a8ad3bb06fe2cb08d7c98e45741f2dfeef22df44b055a0dadde99e2c2b"
 
 [metadata.files]
 alabaster = [
@@ -1172,8 +1172,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/tf_max/poetry.lock b/poetryenvs/tf_max/poetry.lock
index 538ada7e..57b9c063 100644
--- a/poetryenvs/tf_max/poetry.lock
+++ b/poetryenvs/tf_max/poetry.lock
@@ -965,7 +965,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
@@ -1017,7 +1017,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "8e302b6baeac884c0e676d2e8a61702fe015772785d113e15ae4823dc2945f15"
+content-hash = "a8d06a2fe87ce9f5ee74a75bbbd4a45944936f4c02f0d7a132944c49daebcb86"
 
 [metadata.files]
 absl-py = [
@@ -1787,8 +1787,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/tf_min/poetry.lock b/poetryenvs/tf_min/poetry.lock
index ebfeeb0a..d378d78c 100644
--- a/poetryenvs/tf_min/poetry.lock
+++ b/poetryenvs/tf_min/poetry.lock
@@ -459,7 +459,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -578,7 +578,7 @@ toml = ">=0.7.1"
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -1006,7 +1006,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "ae9d2e1cf466af0e9fb3948382e33eff42c7db1cb1d59a8c9209e37d91ae8a39"
+content-hash = "348ffa3a955d1af11aac7fd120a9484843b7733bb45212af597525a4826b5aff"
 
 [metadata.files]
 absl-py = [
diff --git a/poetryenvs/tfp_max/poetry.lock b/poetryenvs/tfp_max/poetry.lock
index c07d80be..579246b2 100644
--- a/poetryenvs/tfp_max/poetry.lock
+++ b/poetryenvs/tfp_max/poetry.lock
@@ -1010,7 +1010,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
@@ -1062,7 +1062,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "2d4de4257b4384345e4cb03ae6e5c1ce590d51b20993f0aa56f8aff3ccfc99f7"
+content-hash = "ae76cde4f76204b22607237bf941e04717ebf896fbcf052076a1324933b30f21"
 
 [metadata.files]
 absl-py = [
@@ -1867,8 +1867,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/tfp_min/poetry.lock b/poetryenvs/tfp_min/poetry.lock
index f302136f..414c64f4 100644
--- a/poetryenvs/tfp_min/poetry.lock
+++ b/poetryenvs/tfp_min/poetry.lock
@@ -483,7 +483,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -602,7 +602,7 @@ toml = ">=0.7.1"
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -1050,7 +1050,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "17f1e6db573b17adc237ad3596f7474385b2263de6841562283202322919adfe"
+content-hash = "cee3dcc3bb06a69ba786cc91925d97f63beaccb273abfff8e059d1ab036ddabb"
 
 [metadata.files]
 absl-py = [
diff --git a/poetryenvs/torch_max/poetry.lock b/poetryenvs/torch_max/poetry.lock
index 169a6fa5..cfc81686 100644
--- a/poetryenvs/torch_max/poetry.lock
+++ b/poetryenvs/torch_max/poetry.lock
@@ -273,7 +273,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -368,7 +368,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -627,7 +627,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
@@ -665,7 +665,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "822077d94d4c5a2ad5d0e5cc43f43036f7be0a6d88ed86be6e3fc530163170b6"
+content-hash = "d13f757e91c744f939be6f6f5d2aad8ec81cd7c5b0e1b83bedb688445117eceb"
 
 [metadata.files]
 alabaster = [
@@ -1205,8 +1205,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/poetryenvs/torch_min/poetry.lock b/poetryenvs/torch_min/poetry.lock
index 5503dbcb..a4d034b7 100644
--- a/poetryenvs/torch_min/poetry.lock
+++ b/poetryenvs/torch_min/poetry.lock
@@ -294,7 +294,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -391,7 +391,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -649,7 +649,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
@@ -699,7 +699,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "df7b3d384836b8f0fea72144cbd56a8e9859858215cf49e47f8a2d2ff7fd1705"
+content-hash = "43356e174ac17176c3dc58cfb3f0a0af8a865b1915c2f222109dc1f186b6890f"
 
 [metadata.files]
 alabaster = [
@@ -1232,8 +1232,8 @@ typed-ast = [
     {file = "typed_ast-1.5.4.tar.gz", hash = "sha256:39e21ceb7388e4bb37f4c679d72707ed46c2fbf2a5609b8b8ebc4b067d977df2"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
-    {file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 unidecode = [
     {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
diff --git a/pyproject.toml b/pyproject.toml
index 00313277..dd7ae57c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,6 +33,7 @@ classifiers = [
 [tool.poetry.dependencies]
 lark = "^1.1.0"
 python = ">=3.7,<3.11"
+packaging = ">=18.0.0"
 
 [tool.poetry.dev-dependencies]
 black = "20.8b1"  # Pinned for backwards compatibility with the old stuff.
diff --git a/tests/check_shapes/integration/test_tfp.py b/tests/check_shapes/integration/test_tfp.py
index 084b4d27..94225dc0 100644
--- a/tests/check_shapes/integration/test_tfp.py
+++ b/tests/check_shapes/integration/test_tfp.py
@@ -14,6 +14,7 @@
 
 # pylint: disable=import-error  # Dependencies might not be installed.
 # pylint: disable=ungrouped-imports
+# pylint: disable=protected-access  # To access the _TensorCoercible
 
 from typing import Any
 
@@ -25,6 +26,7 @@
 
 try:
     import numpy as np
+    import tensorflow as tf
     import tensorflow_probability as tfp
 
     requires_tfp = lambda f: f
@@ -32,17 +34,35 @@
     from unittest.mock import MagicMock
 
     np = MagicMock()
+    tf = MagicMock()
     tfp = MagicMock()
 
     requires_tfp = pytest.mark.skip("TensorFlow-Probability not installed.")
 
 
+def make_tensor_coercible(
+    shape: Shape, concrete: bool
+) -> tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible:
+    loc = tf.zeros(shape)
+    scale = tf.ones(shape)
+    dist = tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible(
+        tfp.distributions.Normal(loc, scale), lambda self: loc
+    )
+    if concrete:
+        tf.convert_to_tensor(dist)  # Triggers some caching within `dist`.
+    return dist
+
+
 @requires_tfp
 @pytest.mark.parametrize(
     "shaped,expected_shape",
     [
         (tfp.util.TransformedVariable(3.0, tfp.bijectors.Exp()), ()),
         (tfp.util.TransformedVariable(np.zeros((4, 2)), tfp.bijectors.Exp()), (4, 2)),
+        (make_tensor_coercible((), True), ()),
+        (make_tensor_coercible((4, 5), True), (4, 5)),
+        (make_tensor_coercible((), False), None),
+        (make_tensor_coercible((4, 5), False), None),
     ],
 )
 def test_get_shape(shaped: Any, expected_shape: Shape) -> None:

From 733b6153fd4174134d619b42c2498a5d785da718 Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Mon, 10 Oct 2022 16:48:56 +0100
Subject: [PATCH 08/10] Benchmark check_shapes overhead. (#25)

---
 .github/workflows/benchmark.yml               |  56 ++
 benchmark/README.md                           |  42 ++
 benchmark/__init__.py                         |   0
 benchmark/examples/jax_example.py             | 171 ++++++
 benchmark/examples/np_example.py              | 163 ++++++
 benchmark/examples/tf_example.py              | 175 ++++++
 benchmark/examples/torch_example.py           | 168 ++++++
 benchmark/plot_benchmarks.py                  | 123 +++++
 benchmark/run_benchmark.py                    | 142 +++++
 check_shapes/decorator.py                     |  11 +-
 check_shapes/integration/tf.py                |   8 +-
 check_shapes/integration/torch.py             |   8 +-
 docs/benchmarks.rst                           |  20 +
 docs/index.rst                                |   4 +-
 poetry.lock                                   | 389 ++++++++++++-
 poetryenvs/jax_max/poetry.lock                | 510 ++++++++++++++++--
 poetryenvs/jax_max/pyproject_overrides.toml   |   1 -
 poetryenvs/jax_min/poetry.lock                | 446 +++++++++++++--
 poetryenvs/jax_min/pyproject_overrides.toml   |   1 -
 poetryenvs/np_max/poetry.lock                 | 435 ++++++++++++++-
 poetryenvs/np_max/pyproject_overrides.toml    |   1 -
 poetryenvs/np_min/poetry.lock                 | 406 ++++++++++++--
 poetryenvs/np_min/pyproject_overrides.toml    |   1 -
 poetryenvs/py_max/poetry.lock                 | 474 +++++++++++++++-
 poetryenvs/py_min/poetry.lock                 | 389 ++++++++++++-
 poetryenvs/tf_max/poetry.lock                 | 421 ++++++++++++++-
 poetryenvs/tf_max/pyproject_overrides.toml    |   1 -
 poetryenvs/tf_min/poetry.lock                 | 336 +++++++++++-
 poetryenvs/tfp_max/poetry.lock                | 421 ++++++++++++++-
 poetryenvs/tfp_max/pyproject_overrides.toml   |   1 -
 poetryenvs/tfp_min/poetry.lock                | 336 +++++++++++-
 poetryenvs/torch_max/poetry.lock              | 435 ++++++++++++++-
 poetryenvs/torch_max/pyproject_overrides.toml |   1 -
 poetryenvs/torch_min/poetry.lock              | 350 +++++++++++-
 poetryenvs/torch_min/pyproject_overrides.toml |   1 -
 pyproject.toml                                |  26 +-
 tests/check_shapes/integration/test_jax.py    |   3 +-
 37 files changed, 6295 insertions(+), 181 deletions(-)
 create mode 100644 .github/workflows/benchmark.yml
 create mode 100644 benchmark/README.md
 create mode 100644 benchmark/__init__.py
 create mode 100644 benchmark/examples/jax_example.py
 create mode 100644 benchmark/examples/np_example.py
 create mode 100644 benchmark/examples/tf_example.py
 create mode 100644 benchmark/examples/torch_example.py
 create mode 100644 benchmark/plot_benchmarks.py
 create mode 100644 benchmark/run_benchmark.py
 create mode 100644 docs/benchmarks.rst

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
new file mode 100644
index 00000000..f5c974bf
--- /dev/null
+++ b/.github/workflows/benchmark.yml
@@ -0,0 +1,56 @@
+name: benchmark
+
+on:
+  schedule:
+    # * is a special character in YAML so you have to quote this string
+    # 10:17 every Monday - A compromise between random and a convenient time:
+    - cron: '17 10 * * 1'
+
+env:
+  penv: './poetryenv poetryenvs'
+  run: 'run python benchmark'
+  bex: 'benchmark/examples'
+  res: 'gh-pages/benchmark_results'
+  plots: 'gh-pages/docs/benchmark_plots/'
+
+jobs:
+  benchmark:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/checkout@v3
+        with:
+          ref: gh-pages
+          path: gh-pages
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - name: Install
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+          pip install -r poetryenv_requirements.txt
+          ${penv}/np_max install
+          ${penv}/tf_max install
+          ${penv}/jax_max install
+          ${penv}/torch_max install
+      - name: Run benchmarks
+        run: |
+          ${penv}/np_max ${run}/run_benchmark.py ${bex}/np_example.py ${res}
+          ${penv}/tf_max ${run}/run_benchmark.py ${bex}/tf_example.py ${res}
+          ${penv}/tf_max ${run}/run_benchmark.py ${bex}/tf_example.py --modifiers=no_compile ${res}
+          ${penv}/jax_max ${run}/run_benchmark.py ${bex}/jax_example.py ${res}
+          ${penv}/jax_max ${run}/run_benchmark.py ${bex}/jax_example.py --modifiers=no_jit ${res}
+          ${penv}/torch_max ${run}/run_benchmark.py ${bex}/torch_example.py ${res}
+      - name: Plot benchmarks
+        run: |
+          ${penv}/np_max ${run}/plot_benchmarks.py ${res}
+          mkdir -p ${plots}
+          mv ${res}/overhead.png ${plots}
+      - name: Commit new benchmark results
+        run: |
+          cd gh-pages
+          git add benchmark_results docs/benchmark_plots
+          git config --global user.email "none"
+          git config --global user.name "github-actions-bot"
+          git commit -m "Run benchmarks."
+          git push
diff --git a/benchmark/README.md b/benchmark/README.md
new file mode 100644
index 00000000..5b115914
--- /dev/null
+++ b/benchmark/README.md
@@ -0,0 +1,42 @@
+# `check_shapes` benchmarking.
+
+The benchmarks are based on running the examples in `benchmark/examples`, then editing the script to
+remove all shape checking, and running it again.
+
+Most recent results are shown in our
+[documentation](https://gpflow.github.io/check_shapes/benchmarks.html).
+
+To run a benchmark use:
+
+```bash
+python benchmark/run_benchmark.py \
+    <path to example script> \
+    [--modifiers=<other modification to the script>] \
+    <output_directory>
+```
+
+Then plot the results with:
+
+```bash
+python benchmark/plot_benchmarks.py <output_directory>
+```
+
+The plotter will plot all results found in the output directory, so your can run `run_benchmark.py`
+multiple times. An example of benchmarking all the examples might be:
+
+```bash
+# Make sure everything is installed:
+poetry install
+./poetryenv -r poetryenvs install
+
+# Run all benchmarks:
+./poetryenv poetryenvs/np_max run python benchmark/run_benchmark.py benchmark/examples/np_example.py benchmark_results
+./poetryenv poetryenvs/tf_max run python benchmark/run_benchmark.py benchmark/examples/tf_example.py benchmark_results
+./poetryenv poetryenvs/tf_max run python benchmark/run_benchmark.py benchmark/examples/tf_example.py --modifiers=no_compile benchmark_results
+./poetryenv poetryenvs/jax_max run python benchmark/run_benchmark.py benchmark/examples/jax_example.py benchmark_results
+./poetryenv poetryenvs/jax_max run python benchmark/run_benchmark.py benchmark/examples/jax_example.py --modifiers=no_jit benchmark_results
+./poetryenv poetryenvs/torch_max run python benchmark/run_benchmark.py benchmark/examples/torch_example.py benchmark_results
+
+# Plot results:
+poetry run python benchmark/plot_benchmarks.py benchmark_results
+```
\ No newline at end of file
diff --git a/benchmark/__init__.py b/benchmark/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/benchmark/examples/jax_example.py b/benchmark/examples/jax_example.py
new file mode 100644
index 00000000..ca6b4284
--- /dev/null
+++ b/benchmark/examples/jax_example.py
@@ -0,0 +1,171 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+"""
+An example of using ``check_shapes`` with ``Jax``.
+
+This example fits a linear model to some data, using gradient descent.
+"""
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from time import perf_counter
+from typing import Any, Mapping, Optional
+
+import jax.numpy as jnp
+import numpy as np
+import pytest
+from jax import grad, jit, random
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, inherit_check_shapes
+
+# Some versions of NumPy has generic ndarrays while other don't:
+ndarray = Any
+
+N_FEATURES = 100
+N_TRAINING_ROWS = 100_000
+N_TEST_ROWS = 10_000
+
+N_ITERATIONS = 1_000
+LEARNING_RATE = 1e-2
+
+
+class Model(ABC):
+    @abstractmethod
+    @check_shapes(
+        "training_features: [n_rows, n_features]",
+        "training_targets: [n_rows, 1]",
+    )
+    def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+        ...
+
+    @abstractmethod
+    @check_shapes(
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def predict(self, test_features: ndarray) -> ndarray:
+        ...
+
+
+class LinearModel(Model):
+    def __init__(self) -> None:
+        self._weights: Optional[ndarray] = None  # [n_features]
+
+    @check_shapes(
+        "weights: [n_features]",
+    )
+    def set_weights(self, weights: ndarray) -> None:
+        self._weights = weights
+
+    @inherit_check_shapes
+    def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+        # We intentionally split this into a few more functions than might technically be
+        # needed, so that we have something to annotate with type checks:
+
+        @check_shapes(
+            "weights: [n_features]",
+            "return: []",
+        )
+        def loss(weights: ndarray) -> ndarray:
+            pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+            err = cs(pred - training_targets, "[n_rows, 1]")
+            return jnp.mean(err ** 2)
+
+        loss_grads = grad(loss)
+
+        @jit
+        @check_shapes(
+            "weights: [n_features]",
+            "return: [n_features]",
+        )
+        def step(weights: ndarray) -> ndarray:
+            return weights - LEARNING_RATE * loss_grads(weights)
+
+        n_features = training_features.shape[-1]
+        weights = jnp.zeros((n_features,))
+
+        for _ in range(N_ITERATIONS):
+            weights = step(weights)
+
+        self._weights = weights
+
+    @inherit_check_shapes
+    def predict(self, test_features: ndarray) -> ndarray:
+        assert self._weights is not None
+        return self._predict(self._weights, test_features)
+
+    @staticmethod
+    @check_shapes(
+        "weights: [n_features]",
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def _predict(weights: ndarray, test_features: ndarray) -> ndarray:
+        return test_features @ weights[:, None]
+
+
+@dataclass
+class TestData:
+    training_features: ndarray
+    training_targets: ndarray
+    test_features: ndarray
+    test_targets: ndarray
+
+    @check_shapes(
+        "self.training_features: [n_training_rows, n_features]",
+        "self.training_targets: [n_training_rows, 1]",
+        "self.test_features: [n_test_rows, n_features]",
+        "self.test_targets: [n_test_rows, 1]",
+    )
+    def __post_init__(self) -> None:
+        pass
+
+
+def create_data() -> TestData:
+    key = random.PRNGKey(42)
+    key1, key2, key3 = random.split(key, 3)
+    model = LinearModel()
+    model.set_weights(jnp.arange(N_FEATURES))
+    training_features = random.uniform(key1, [N_TRAINING_ROWS, N_FEATURES])
+    training_targets = model.predict(training_features) + random.normal(key2, [N_TRAINING_ROWS, 1])
+    test_features = random.uniform(key3, [N_TEST_ROWS, N_FEATURES])
+    test_targets = model.predict(test_features)
+    return TestData(training_features, training_targets, test_features, test_targets)
+
+
+def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+    test_predictions = model.predict(data.test_features)
+    err = data.test_targets - test_predictions
+    result = {}
+    result["rmse"] = jnp.sqrt(jnp.mean(err ** 2))
+    return result
+
+
+def main() -> None:
+    before = perf_counter()
+    data = create_data()
+    model = LinearModel()
+    model.train(data.training_features, data.training_targets)
+    metrics = dict(evaluate(model, data))
+    after = perf_counter()
+    metrics["time (s)"] = after - before
+    for key, value in metrics.items():
+        print(key, value)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmark/examples/np_example.py b/benchmark/examples/np_example.py
new file mode 100644
index 00000000..f02b3bf5
--- /dev/null
+++ b/benchmark/examples/np_example.py
@@ -0,0 +1,163 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+"""
+An example of using ``check_shapes`` with ``NumPy``.
+
+This example fits a linear model to some data, using gradient descent.
+"""
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from time import perf_counter
+from typing import Any, Mapping, Optional
+
+import numpy as np
+import pytest
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, inherit_check_shapes
+
+ndarray = Any
+
+N_FEATURES = 100
+N_TRAINING_ROWS = 30_000
+N_TEST_ROWS = 3_000
+
+N_ITERATIONS = 1_000
+LEARNING_RATE = 1e-2
+
+
+class Model(ABC):
+    @abstractmethod
+    @check_shapes(
+        "training_features: [n_rows, n_features]",
+        "training_targets: [n_rows, 1]",
+    )
+    def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+        ...
+
+    @abstractmethod
+    @check_shapes(
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def predict(self, test_features: ndarray) -> ndarray:
+        ...
+
+
+class LinearModel(Model):
+    def __init__(self) -> None:
+        self._weights: Optional[ndarray] = None  # [n_features]
+
+    @check_shapes(
+        "weights: [n_features]",
+    )
+    def set_weights(self, weights: ndarray) -> None:
+        self._weights = weights
+
+    @inherit_check_shapes
+    def train(self, training_features: ndarray, training_targets: ndarray) -> None:
+        # We intentionally split this into a few more functions than might technically be
+        # needed, so that we have something to annotate with type checks:
+
+        @check_shapes(
+            "weights: [n_features]",
+            "return: [n_features]",
+        )
+        def loss_grads(weights: ndarray) -> ndarray:
+            pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+            grads = cs(2 * (pred - training_targets) * training_features, "[n_rows, n_features]")
+            return np.mean(grads, axis=0)
+
+        @check_shapes(
+            "weights: [n_features]",
+            "return: [n_features]",
+        )
+        def step(weights: ndarray) -> ndarray:
+            return weights - LEARNING_RATE * loss_grads(weights)
+
+        n_features = training_features.shape[-1]
+        weights = np.zeros((n_features,))
+        for _ in range(N_ITERATIONS):
+            weights = step(weights)
+
+        self._weights = weights
+
+    @inherit_check_shapes
+    def predict(self, test_features: ndarray) -> ndarray:
+        assert self._weights is not None
+        return self._predict(self._weights, test_features)
+
+    @staticmethod
+    @check_shapes(
+        "weights: [n_features]",
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def _predict(weights: ndarray, test_features: ndarray) -> ndarray:
+        return test_features @ weights[:, None]
+
+
+@dataclass
+class TestData:
+    training_features: ndarray
+    training_targets: ndarray
+    test_features: ndarray
+    test_targets: ndarray
+
+    @check_shapes(
+        "self.training_features: [n_training_rows, n_features]",
+        "self.training_targets: [n_training_rows, 1]",
+        "self.test_features: [n_test_rows, n_features]",
+        "self.test_targets: [n_test_rows, 1]",
+    )
+    def __post_init__(self) -> None:
+        pass
+
+
+def create_data() -> TestData:
+    rng = np.random.default_rng(42)
+    model = LinearModel()
+    model.set_weights(np.arange(N_FEATURES))
+    training_features = rng.random(size=[N_TRAINING_ROWS, N_FEATURES])
+    training_targets = model.predict(training_features) + rng.normal(
+        0.0, 1.0, size=[N_TRAINING_ROWS, 1]
+    )
+    test_features = rng.random(size=[N_TEST_ROWS, N_FEATURES])
+    test_targets = model.predict(test_features)
+    return TestData(training_features, training_targets, test_features, test_targets)
+
+
+def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+    test_predictions = model.predict(data.test_features)
+    err = data.test_targets - test_predictions
+    result = {}
+    result["rmse"] = np.sqrt(np.mean(err ** 2))
+    return result
+
+
+def main() -> None:
+    before = perf_counter()
+    data = create_data()
+    model = LinearModel()
+    model.train(data.training_features, data.training_targets)
+    metrics = dict(evaluate(model, data))
+    after = perf_counter()
+    metrics["time (s)"] = after - before
+    for key, value in metrics.items():
+        print(key, value)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmark/examples/tf_example.py b/benchmark/examples/tf_example.py
new file mode 100644
index 00000000..cca44b0b
--- /dev/null
+++ b/benchmark/examples/tf_example.py
@@ -0,0 +1,175 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+"""
+An example of using ``check_shapes`` with ``TensorFlow``.
+
+This example fits a linear model to some data, using gradient descent.
+"""
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+# pylint: disable=no-member  # PyLint struggles with TensorFlow.
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from pathlib import Path
+from time import perf_counter
+from typing import Any, Callable, Mapping, Optional
+
+import numpy as np
+import pytest
+import tensorflow as tf
+from packaging.version import Version
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, disable_check_shapes, inherit_check_shapes
+from check_shapes.config import ShapeCheckingState
+from check_shapes.exceptions import ShapeMismatchError
+
+N_FEATURES = 100
+N_TRAINING_ROWS = 100_000
+N_TEST_ROWS = 10_000
+
+N_ITERATIONS = 1_000
+LEARNING_RATE = 1e-2
+
+
+class Model(ABC):
+    @abstractmethod
+    @check_shapes(
+        "training_features: [n_rows, n_features]",
+        "training_targets: [n_rows, 1]",
+    )
+    def train(self, training_features: tf.Tensor, training_targets: tf.Tensor) -> None:
+        ...
+
+    @abstractmethod
+    @check_shapes(
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def predict(self, test_features: tf.Tensor) -> tf.Tensor:
+        ...
+
+
+class LinearModel(Model):
+    def __init__(self) -> None:
+        self._weights: Optional[tf.Tensor] = None  # [n_features]
+
+    @check_shapes(
+        "weights: [n_features]",
+    )
+    def set_weights(self, weights: tf.Tensor) -> None:
+        self._weights = weights
+
+    @inherit_check_shapes
+    def train(self, training_features: tf.Tensor, training_targets: tf.Tensor) -> None:
+        # We intentionally split this into a few more functions than might technically be
+        # needed, so that we have something to annotate with type checks:
+
+        @check_shapes(
+            "weights: [n_features]",
+            "return: []",
+        )
+        def loss(weights: tf.Tensor) -> tf.Tensor:
+            pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+            err = cs(pred - training_targets, "[n_rows, 1]")
+            return tf.reduce_mean(err ** 2)
+
+        @tf.function  # type: ignore
+        @check_shapes(
+            "weights: [n_features]",
+            "return: [n_features]",
+        )
+        def step(weights: tf.Tensor) -> tf.Tensor:
+            with tf.GradientTape() as g:
+                g.watch(weights)
+                l = cs(loss(weights), "[]")
+            loss_grads = cs(g.gradient(l, weights), "[n_features]")
+            return weights - LEARNING_RATE * loss_grads
+
+        n_features = training_features.shape[-1]
+        weights = tf.Variable(tf.zeros((n_features,)))
+        for _ in range(N_ITERATIONS):
+            weights.assign(step(weights))
+
+        self._weights = tf.constant(weights)
+
+    @inherit_check_shapes
+    def predict(self, test_features: tf.Tensor) -> tf.Tensor:
+        assert self._weights is not None
+        return self._predict(self._weights, test_features)
+
+    @staticmethod
+    @check_shapes(
+        "weights: [n_features]",
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def _predict(weights: tf.Tensor, test_features: tf.Tensor) -> tf.Tensor:
+        return test_features @ weights[:, None]
+
+
+@dataclass
+class TestData:
+    training_features: tf.Tensor
+    training_targets: tf.Tensor
+    test_features: tf.Tensor
+    test_targets: tf.Tensor
+
+    @check_shapes(
+        "self.training_features: [n_training_rows, n_features]",
+        "self.training_targets: [n_training_rows, 1]",
+        "self.test_features: [n_test_rows, n_features]",
+        "self.test_targets: [n_test_rows, 1]",
+    )
+    def __post_init__(self) -> None:
+        pass
+
+
+def create_data() -> TestData:
+    tf.random.set_seed(42)
+    model = LinearModel()
+    model.set_weights(tf.range(N_FEATURES, dtype=tf.float32))
+    training_features = tf.random.uniform([N_TRAINING_ROWS, N_FEATURES], 0.0, 1.0)
+    training_targets = model.predict(training_features) + tf.random.normal(
+        [N_TRAINING_ROWS, 1], 0.0, 1.0
+    )
+    test_features = tf.random.uniform([N_TEST_ROWS, N_FEATURES], 0.0, 1.0)
+    test_targets = model.predict(test_features)
+    return TestData(training_features, training_targets, test_features, test_targets)
+
+
+def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+    test_predictions = model.predict(data.test_features)
+    err = data.test_targets - test_predictions
+    result = {}
+    result["rmse"] = tf.sqrt(tf.reduce_mean(err ** 2)).numpy()
+    return result
+
+
+def main() -> None:
+    before = perf_counter()
+    data = create_data()
+    model = LinearModel()
+    model.train(data.training_features, data.training_targets)
+    metrics = dict(evaluate(model, data))
+    after = perf_counter()
+    metrics["time (s)"] = after - before
+    for key, value in metrics.items():
+        print(key, value)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmark/examples/torch_example.py b/benchmark/examples/torch_example.py
new file mode 100644
index 00000000..0316ea01
--- /dev/null
+++ b/benchmark/examples/torch_example.py
@@ -0,0 +1,168 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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.
+"""
+An example of using ``check_shapes`` with ``PyTorch``.
+
+This example fits a linear model to some data, using gradient descent.
+"""
+
+# pylint: disable=import-error  # Dependencies might not be installed.
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from time import perf_counter
+from typing import Any, Mapping, Optional
+
+import pytest
+import torch
+
+from check_shapes import Shape
+from check_shapes import check_shape as cs
+from check_shapes import check_shapes, inherit_check_shapes
+
+N_FEATURES = 100
+N_TRAINING_ROWS = 300_000
+N_TEST_ROWS = 30_000
+
+N_ITERATIONS = 1_000
+LEARNING_RATE = 1e-2
+
+
+class Model(ABC):
+    @abstractmethod
+    @check_shapes(
+        "training_features: [n_rows, n_features]",
+        "training_targets: [n_rows, 1]",
+    )
+    def train(self, training_features: torch.Tensor, training_targets: torch.Tensor) -> None:
+        ...
+
+    @abstractmethod
+    @check_shapes(
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def predict(self, test_features: torch.Tensor) -> torch.Tensor:
+        ...
+
+
+class LinearModel(Model):
+    def __init__(self) -> None:
+        self._weights: Optional[torch.Tensor] = None  # [n_features]
+
+    @check_shapes(
+        "weights: [n_features]",
+    )
+    def set_weights(self, weights: torch.Tensor) -> None:
+        self._weights = weights
+
+    @inherit_check_shapes
+    def train(self, training_features: torch.Tensor, training_targets: torch.Tensor) -> None:
+        # We intentionally split this into a few more functions than might technically be
+        # needed, so that we have something to annotate with type checks:
+
+        @check_shapes(
+            "weights: [n_features]",
+            "return: []",
+        )
+        def loss(weights: torch.Tensor) -> torch.Tensor:
+            pred = cs(self._predict(weights, training_features), "[n_rows, 1]")
+            err = cs(pred - training_targets, "[n_rows, 1]")
+            return torch.mean(err ** 2)
+
+        @check_shapes(
+            "weights: [n_features]",
+        )
+        def step(weights: torch.Tensor) -> None:
+            loss(weights).backward()
+            with torch.no_grad():
+                weights -= LEARNING_RATE * weights.grad
+                weights.grad = None
+
+        n_features = training_features.shape[-1]
+        weights = torch.zeros((n_features,), requires_grad=True)
+
+        for _ in range(N_ITERATIONS):
+            step(weights)
+
+        self._weights = weights.detach().clone()
+
+    @inherit_check_shapes
+    def predict(self, test_features: torch.Tensor) -> torch.Tensor:
+        assert self._weights is not None
+        return self._predict(self._weights, test_features)
+
+    @staticmethod
+    @check_shapes(
+        "weights: [n_features]",
+        "test_features: [n_rows, n_features]",
+        "return: [n_rows, 1]",
+    )
+    def _predict(weights: torch.Tensor, test_features: torch.Tensor) -> torch.Tensor:
+        return test_features @ weights[:, None]
+
+
+@dataclass
+class TestData:
+    training_features: torch.Tensor
+    training_targets: torch.Tensor
+    test_features: torch.Tensor
+    test_targets: torch.Tensor
+
+    @check_shapes(
+        "self.training_features: [n_training_rows, n_features]",
+        "self.training_targets: [n_training_rows, 1]",
+        "self.test_features: [n_test_rows, n_features]",
+        "self.test_targets: [n_test_rows, 1]",
+    )
+    def __post_init__(self) -> None:
+        pass
+
+
+def create_data() -> TestData:
+    rng = torch.Generator()
+    rng.manual_seed(42)
+    model = LinearModel()
+    model.set_weights(torch.arange(0, N_FEATURES, dtype=torch.float32))
+    training_features = torch.rand([N_TRAINING_ROWS, N_FEATURES], generator=rng)
+    training_targets = model.predict(training_features) + torch.randn(
+        [N_TRAINING_ROWS, 1], generator=rng
+    )
+    test_features = torch.rand([N_TEST_ROWS, N_FEATURES], generator=rng)
+    test_targets = model.predict(test_features)
+    return TestData(training_features, training_targets, test_features, test_targets)
+
+
+def evaluate(model: Model, data: TestData) -> Mapping[str, float]:
+    test_predictions = model.predict(data.test_features)
+    err = data.test_targets - test_predictions
+    result = {}
+    result["rmse"] = torch.sqrt(torch.mean(err ** 2)).item()
+    return result
+
+
+def main() -> None:
+    before = perf_counter()
+    data = create_data()
+    model = LinearModel()
+    model.train(data.training_features, data.training_targets)
+    metrics = dict(evaluate(model, data))
+    after = perf_counter()
+    metrics["time (s)"] = after - before
+    for key, value in metrics.items():
+        print(key, value)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmark/plot_benchmarks.py b/benchmark/plot_benchmarks.py
new file mode 100644
index 00000000..c5e8ac25
--- /dev/null
+++ b/benchmark/plot_benchmarks.py
@@ -0,0 +1,123 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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 argparse
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+
+def plot(output_dir: Path) -> None:
+    result_dfs = [pd.read_csv(f) for f in output_dir.glob("results_*.csv")]
+    results_df = pd.concat(result_dfs, axis="index", ignore_index=True)
+
+    n_columns = 2
+    n_rows = len(results_df.name.unique())
+    width = 6 * n_columns
+    height = 4 * n_rows
+    fig, axes = plt.subplots(
+        ncols=n_columns,
+        nrows=n_rows,
+        figsize=(width, height),
+        squeeze=False,
+        dpi=100,
+    )
+
+    for i, (ax_name, ax_df) in enumerate(results_df.groupby("name")):
+        line_xs = []
+        line_y_with_means = []
+        line_y_with_uppers = []
+        line_y_with_lowers = []
+        line_y_without_means = []
+        line_y_without_uppers = []
+        line_y_without_lowers = []
+        line_y_overhead_means = []
+        line_y_overhead_uppers = []
+        line_y_overhead_lowers = []
+
+        for timestamp, timestamp_df in ax_df.groupby("timestamp"):
+            by_cs = timestamp_df.groupby("check_shapes")
+            mean_by_cs = by_cs.time_s.mean()
+            std_by_cs = by_cs.time_s.std().fillna(0.0)
+            var_by_cs = by_cs.time_s.var().fillna(0.0)
+
+            with_mean = mean_by_cs[True]
+            with_mean_sq = with_mean ** 2
+            with_std = std_by_cs[True]
+            with_var = var_by_cs[True]
+            without_mean = mean_by_cs[False]
+            without_mean_sq = without_mean ** 2
+            without_std = std_by_cs[False]
+            without_var = var_by_cs[False]
+
+            overhead_mean = (with_mean / without_mean) - 1
+            # https://en.wikipedia.org/wiki/Ratio_distribution#Uncorrelated_noncentral_normal_ratio
+            overhead_var = (with_mean_sq / without_mean_sq) * (
+                (with_var / with_mean_sq) + (without_var / without_mean_sq)
+            )
+            overhead_std = np.sqrt(overhead_var)
+
+            line_xs.append(timestamp)
+            line_y_with_means.append(with_mean)
+            line_y_with_uppers.append(with_mean + 1.96 * with_std)
+            line_y_with_lowers.append(with_mean - 1.96 * with_std)
+            line_y_without_means.append(without_mean)
+            line_y_without_uppers.append(without_mean + 1.96 * without_std)
+            line_y_without_lowers.append(without_mean - 1.96 * without_std)
+            line_y_overhead_means.append(100 * overhead_mean)
+            line_y_overhead_uppers.append(100 * (overhead_mean + 1.96 * overhead_std))
+            line_y_overhead_lowers.append(100 * (overhead_mean - 1.96 * overhead_std))
+
+        ax = axes[i][0]
+        (mean_line,) = ax.plot(line_xs, line_y_with_means, label="with check_shapes")
+        color = mean_line.get_color()
+        ax.fill_between(line_xs, line_y_with_lowers, line_y_with_uppers, color=color, alpha=0.3)
+        (mean_line,) = ax.plot(line_xs, line_y_without_means, label="without check_shapes")
+        color = mean_line.get_color()
+        ax.fill_between(
+            line_xs, line_y_without_lowers, line_y_without_uppers, color=color, alpha=0.3
+        )
+        ax.set_title(ax_name)
+        ax.set_ylabel("time / s")
+        ax.tick_params(axis="x", labelrotation=30)
+        ax.legend()
+
+        ax = axes[i][1]
+        (mean_line,) = ax.plot(line_xs, line_y_overhead_means)
+        color = mean_line.get_color()
+        ax.fill_between(
+            line_xs, line_y_overhead_lowers, line_y_overhead_uppers, color=color, alpha=0.3
+        )
+        ax.set_title(ax_name)
+        ax.set_ylabel("% overhead")
+        if np.min(line_y_overhead_lowers) >= 0:
+            ax.set_ylim(bottom=0.0)
+        ax.tick_params(axis="x", labelrotation=30)
+
+    fig.tight_layout()
+    fig.savefig(output_dir / "overhead.png")
+    plt.close(fig)
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Modify a script, then times its execution.")
+    parser.add_argument("output_dir", type=Path, help="Where to read/write results.")
+    args = parser.parse_args()
+
+    plot(args.output_dir)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/benchmark/run_benchmark.py b/benchmark/run_benchmark.py
new file mode 100644
index 00000000..65b68585
--- /dev/null
+++ b/benchmark/run_benchmark.py
@@ -0,0 +1,142 @@
+# Copyright 2022 The GPflow Contributors. All Rights Reserved.
+#
+# 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 argparse
+import re
+import subprocess
+from datetime import datetime
+from pathlib import Path
+from time import perf_counter
+from typing import List, NamedTuple, Sequence, Tuple
+
+import pandas as pd
+
+TIMESTAMP_FORMAT = "%Y%m%d_%H%M%S.%f"
+
+
+class Modifier(NamedTuple):
+    """
+    A modification to a string.
+
+    The string will be modified by passing these arguments to `re.sub`.
+    """
+
+    pattern: str
+    repl: str
+
+
+Modifiers = Tuple[Modifier, ...]
+
+
+_CHECK_SHAPES_MODIFIER = (
+    Modifier(r"@inherit_check_shapes", ""),
+    Modifier(r"@check_shapes\(.*?\)", ""),
+    Modifier(r"cs\((.*?), \".*?\"\)", r"\1"),
+)
+
+
+_MODIFIERS = {
+    "no_compile": (Modifier("@tf.function", ""),),
+    "no_jit": (Modifier("@jit", ""),),
+}
+
+
+def run_modified_script(
+    script: Path, modifiers: Modifiers, reps: int, keep: bool, output_dir: Path
+) -> Sequence[float]:
+    modified = output_dir / "tmp.py"
+    src = script.read_text()
+    for modifier in modifiers:
+        src = re.sub(modifier.pattern, modifier.repl, src)
+    modified.write_text(src)
+
+    timings = []
+    for _ in range(reps):
+        before = perf_counter()
+        subprocess.run(["python", str(modified)], check=True)
+        after = perf_counter()
+        t = after - before
+        timings.append(t)
+
+    if not keep:
+        modified.unlink()
+
+    return timings
+
+
+def run_benchmark(
+    script: Path, reps: int, modifier_strs: List[str], keep: bool, output_dir: Path
+) -> None:
+    output_dir.mkdir(parents=True, exist_ok=True)
+    assert output_dir.is_dir()
+
+    timestamp = datetime.utcnow()
+    timestamp_str = timestamp.strftime(TIMESTAMP_FORMAT)
+
+    name_tokens = [script.stem] + modifier_strs
+    name = "_".join(name_tokens)
+
+    shared_data = {
+        "timestamp": timestamp,
+        "script": script.name,
+        "modifiers": ",".join(modifier_strs),
+        "name": name,
+    }
+
+    modifiers = tuple(m for ms in modifier_strs for m in _MODIFIERS[ms])
+    with_timings = run_modified_script(script, modifiers, reps, keep, output_dir)
+    with_df = pd.DataFrame(
+        {
+            **shared_data,
+            "check_shapes": True,
+            "time_s": with_timings,
+        }
+    )
+
+    modifiers = _CHECK_SHAPES_MODIFIER + modifiers
+    without_timings = run_modified_script(script, modifiers, reps, keep, output_dir)
+    without_df = pd.DataFrame(
+        {
+            **shared_data,
+            "check_shapes": False,
+            "time_s": without_timings,
+        }
+    )
+    df = pd.concat([with_df, without_df], axis="index", ignore_index=True)
+    print(df)
+    csv_path = output_dir / f"results_{name}_{timestamp_str}.csv"
+    df.to_csv(csv_path, index=False)
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Modify a script, then times its execution.")
+    parser.add_argument("script", type=Path, help="Path to script to modify and run.")
+    parser.add_argument("output_dir", type=Path, help="Where to read/write results.")
+    parser.add_argument(
+        "--reps", type=int, default=5, help="How many times to repeat the benchmark."
+    )
+    parser.add_argument(
+        "--modifiers", nargs="*", default=[], help="Further modifiers to apply to the script."
+    )
+    parser.add_argument(
+        "--keep",
+        action="store_true",
+        help="Do not delete the modified script. Useful for debugging.",
+    )
+    args = parser.parse_args()
+
+    run_benchmark(args.script, args.reps, args.modifiers, args.keep, args.output_dir)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/check_shapes/decorator.py b/check_shapes/decorator.py
index b78af0c9..0ba3fe40 100644
--- a/check_shapes/decorator.py
+++ b/check_shapes/decorator.py
@@ -50,7 +50,16 @@ def on_wrap(
         signature: inspect.Signature,
         tf_decorator: bool = False,
     ) -> Callable[..., Any]:
-        ...
+        """
+        Called whenever ``check_shapes`` wraps a function.
+
+        :param func: Orginal function, before wrapping.
+        :param wrapped: The wrapper around ``func``, that implements the shape checking.
+        :param signature: The `Signature` of ``func``.
+        :param tf_decorator: Whether to apply custom TensorFlow decorator logic. Most users should
+            ignore this.
+        :return: ``wrapped`` or a new wrapper.
+        """
 
 
 _wrapper_post_processors = []
diff --git a/check_shapes/integration/tf.py b/check_shapes/integration/tf.py
index 03fbed4a..277ee77b 100644
--- a/check_shapes/integration/tf.py
+++ b/check_shapes/integration/tf.py
@@ -24,16 +24,18 @@
 from ..shapes import register_get_shape
 
 
-def install_tf_integration() -> None:
+def install_tf_integration() -> bool:
     """
     Install various hooks to support TensorFlow.
 
     If TensorFlow is not installed in this environment this function does nothing.
+
+    :return: Whether TensorFlow support hooks actually were installed.
     """
     try:
         import tensorflow as tf
     except ImportError:
-        return  # TensorFlow not installed - don't install integrations.
+        return False  # TensorFlow not installed - don't install integrations.
 
     ########################################
     # Support for getting shapes of tf types
@@ -82,3 +84,5 @@ def wrapped_method(self: Any, *args: Any, **kwargs: Any) -> Any:
             return wrapped
 
     add_wrapper_post_processor(TfWrapperPostProcessor())
+
+    return True
diff --git a/check_shapes/integration/torch.py b/check_shapes/integration/torch.py
index 8c275f4b..ae97cfae 100644
--- a/check_shapes/integration/torch.py
+++ b/check_shapes/integration/torch.py
@@ -19,17 +19,21 @@
 from ..shapes import register_get_shape
 
 
-def install_torch_integration() -> None:
+def install_torch_integration() -> bool:
     """
     Install various hooks to support PyTorch.
 
     If PyTorch is not installed in this environment this function does nothing.
+
+    :return: Whether PyTorch support hooks actually were installed.
     """
     try:
         import torch
     except ImportError:
-        return  # PyTorch not installed - don't install integrations.
+        return False  # PyTorch not installed - don't install integrations.
 
     @register_get_shape(torch.Tensor)
     def get_torch_shape(shaped: torch.Tensor, context: ErrorContext) -> Shape:
         return tuple(shaped.shape)
+
+    return True
diff --git a/docs/benchmarks.rst b/docs/benchmarks.rst
new file mode 100644
index 00000000..9a352ac7
--- /dev/null
+++ b/docs/benchmarks.rst
@@ -0,0 +1,20 @@
+-----------------
+Benchmark results
+-----------------
+
+To monitor ``check_shapes`` overhead we regularly run a set of benchmarks. The currently implemented
+benchmark is to fit a linear model, using gradient descent.
+
+The actual overhead you observe on your code will depend on:
+
+* How many, and what kind of checks you do. The more checks you do, and the more complicated checks
+  you do, the larger your overhead will be.
+
+* How many function calls you make. If you have a few large batches, you will check fewer shapes,
+  and your overhead will be smaller, than if you have many small batches.
+
+For more details about the benchmarks, see their
+`readme and implementation <https://github.com/GPflow/check_shapes/tree/develop/benchmark>`_.
+
+.. image:: https://gpflow.github.io/check_shapes/benchmark_plots/overhead.png
+  :alt: Plots of check_shapes overhead over time.
diff --git a/docs/index.rst b/docs/index.rst
index 465f8033..e8b895a5 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -12,6 +12,7 @@ A library for annotating and checking the shapes of tensors.
    :titlesonly:
 
    User Guide <self>
+   benchmarks
    API reference <autoapi/check_shapes/index>
 
 
@@ -49,7 +50,8 @@ Installation
 Speed, and interactions with `tf.function`
 ++++++++++++++++++++++++++++++++++++++++++
 
-Shape checking has some performance impact. Shape checking can be disabled to help alleviate this.
+Shape checking has some performance impact. For estimates of this impact see our :doc:`benchmarks`
+page. If the overhead is unacceptable shape checking can be disabled.
 Shape checking can be set to one of three different states:
 
 * ``ENABLED``. Shapes are checked wherever they can be.
diff --git a/poetry.lock b/poetry.lock
index a5344e3e..b14df6fe 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -122,6 +122,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -141,6 +149,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -210,6 +240,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -239,6 +280,25 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -282,6 +342,14 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "numpy"
+version = "1.21.6"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "dev"
+optional = false
+python-versions = ">=3.7,<3.11"
+
 [[package]]
 name = "packaging"
 version = "21.3"
@@ -293,6 +361,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -301,6 +385,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -412,6 +508,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -454,6 +561,30 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -670,20 +801,20 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "ef9ab82d3861259ab8d8f20c004c6d25b395a0b15fd3364578b289ea4c57dc47"
+content-hash = "0c5ba119a3b7c4ed84f128d4f1cd7c85e1ef20a14b50c761d3a830538a98ce3f"
 
 [metadata.files]
 alabaster = [
@@ -728,6 +859,10 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+cycler = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 dill = [
     {file = "dill-0.3.5.1-py2.py3-none-any.whl", hash = "sha256:33501d03270bbe410c72639b350e941882a8b0fd55357580fbc873fba0c59302"},
     {file = "dill-0.3.5.1.tar.gz", hash = "sha256:d75e41f3eff1eee599d738e76ba8f4ad98ea229db8b085318aa2b3333a208c86"},
@@ -736,6 +871,10 @@ docutils = [
     {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
     {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
 ]
+fonttools = [
+    {file = "fonttools-4.37.4-py3-none-any.whl", hash = "sha256:afae1b39555f9c3f0ad1f0f1daf678e5ad157e38c8842ecb567951bf1a9b9fd7"},
+    {file = "fonttools-4.37.4.zip", hash = "sha256:86918c150c6412798e15a0de6c3e0d061ddefddd00f97b4f7b43dfa867ad315e"},
+]
 idna = [
     {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
     {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
@@ -760,6 +899,76 @@ jinja2 = [
     {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
     {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
 ]
+kiwisolver = [
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+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -953,6 +1318,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1093,6 +1462,14 @@ requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
@@ -1250,6 +1627,6 @@ wrapt = [
     {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/jax_max/poetry.lock b/poetryenvs/jax_max/poetry.lock
index a43cfc1e..c3e4835c 100644
--- a/poetryenvs/jax_max/poetry.lock
+++ b/poetryenvs/jax_max/poetry.lock
@@ -127,6 +127,32 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "contourpy"
+version = "1.0.5"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.16"
+
+[package.extras]
+test-no-codebase = ["pillow", "matplotlib", "pytest"]
+test-minimal = ["pytest"]
+test = ["isort", "flake8", "pillow", "matplotlib", "pytest"]
+docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"]
+bokeh = ["selenium", "bokeh"]
+
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -176,6 +202,28 @@ dev = ["chex", "yapf", "pylint (>=2.6.0)", "pytest-xdist", "pytest-subtests", "p
 array-types = ["etils"]
 all = ["etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils", "etils"]
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -194,15 +242,15 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "importlib-resources"
-version = "5.9.0"
+version = "5.10.0"
 description = "Read resources from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
 name = "iniconfig"
@@ -280,6 +328,14 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -309,6 +365,26 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.6.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.19"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -385,6 +461,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.3.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = {version = ">=1.21.0", markers = "python_version >= \"3.10\""}
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -393,6 +485,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -501,6 +605,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -545,14 +660,44 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "scipy"
-version = "1.9.1"
-description = "SciPy: Scientific Library for Python"
+version = "1.9.2"
+description = "Fundamental algorithms for scientific computing in Python"
 category = "main"
 optional = false
-python-versions = ">=3.8,<3.12"
+python-versions = ">=3.8"
+
+[package.dependencies]
+numpy = ">=1.18.5,<1.26.0"
+
+[package.extras]
+test = ["pytest", "pytest-cov", "pytest-xdist", "asv", "mpmath", "gmpy2", "threadpoolctl", "scikit-umfpack"]
+doc = ["sphinx (!=4.1.0)", "pydata-sphinx-theme (==0.9.0)", "sphinx-panels (>=0.5.2)", "matplotlib (>2)", "numpydoc", "sphinx-tabs"]
+dev = ["mypy", "typing-extensions", "pycodestyle", "flake8"]
+
+[[package]]
+name = "setuptools-scm"
+version = "7.0.5"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
 
 [package.dependencies]
-numpy = ">=1.18.5,<1.25.0"
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "snowballstemmer"
@@ -769,20 +914,20 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "e0bc616bf97a15857487de85ec06cf2049cafc223bb403fbff5c1b5821e9a449"
+content-hash = "f20ca0b26ed93339920e2ed4c00d1f68914fdcc5b32dc71882132ddb97c427fa"
 
 [metadata.files]
 absl-py = [
@@ -831,6 +976,81 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+contourpy = [
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87121b9428ac568fb84fae4af5e7852fc34f02eadc4e3e91f6c8989327692186"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1fb782982c42cee667b892a0b0c52a9f6c7ecf1da5c5f4345845f04eaa862f93"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:689d7d2a840619915d0abd1ecc6e399fee202f8ad315acda2807f4ca420d0802"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d88814befbd1433152c5f6dd536905149ba028d795a22555b149ae0a36024d9e"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df65f4b2b4e74977f0336bef12a88051ab24e6a16873cd9249f34d67cb3e345d"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6b4c0c723664f65c2a47c8cb6ebbf660b0b2e2d936adf2e8503d4e93359465"},
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+    {file = "scipy-1.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61b95283529712101bfb7c87faf94cb86ed9e64de079509edfe107e5cfa55733"},
+    {file = "scipy-1.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c8c29703202c39d699b0d6b164bde5501c212005f20abf46ae322b9307c8a41"},
+    {file = "scipy-1.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:7b2608b3141c257d01ae772e23b3de9e04d27344e6b68a890883795229cb7191"},
+    {file = "scipy-1.9.2.tar.gz", hash = "sha256:99e7720caefb8bca6ebf05c7d96078ed202881f61e0c68bd9e0f3e8097d6f794"},
+]
+setuptools-scm = [
+    {file = "setuptools_scm-7.0.5-py3-none-any.whl", hash = "sha256:7930f720905e03ccd1e1d821db521bff7ec2ac9cf0ceb6552dd73d24a45d3b02"},
+    {file = "setuptools_scm-7.0.5.tar.gz", hash = "sha256:031e13af771d6f892b941adb6ea04545bbf91ebc5ce68c78aaf3fff6e1fb4844"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
@@ -1435,6 +1869,6 @@ wrapt = [
     {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/jax_max/pyproject_overrides.toml b/poetryenvs/jax_max/pyproject_overrides.toml
index 10609408..7ce8a292 100644
--- a/poetryenvs/jax_max/pyproject_overrides.toml
+++ b/poetryenvs/jax_max/pyproject_overrides.toml
@@ -1,4 +1,3 @@
 [tool.poetry.dependencies]
 python = "3.10.*"
 jax = { version = "0.3.*", extras = ["cpu"] }
-numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/jax_min/poetry.lock b/poetryenvs/jax_min/poetry.lock
index 36b52b05..d04b5d30 100644
--- a/poetryenvs/jax_min/poetry.lock
+++ b/poetryenvs/jax_min/poetry.lock
@@ -130,6 +130,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -157,6 +165,28 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -214,7 +244,7 @@ plugins = ["setuptools"]
 
 [[package]]
 name = "jax"
-version = "0.2.26"
+version = "0.2.28"
 description = "Differentiate, compile, and transform Numpy code."
 category = "main"
 optional = false
@@ -222,23 +252,23 @@ python-versions = ">=3.7"
 
 [package.dependencies]
 absl-py = "*"
-jaxlib = {version = "0.1.75", optional = true, markers = "extra == \"cpu\""}
-numpy = ">=1.18"
+jaxlib = {version = "0.1.76", optional = true, markers = "extra == \"cpu\""}
+numpy = ">=1.19"
 opt_einsum = "*"
 scipy = ">=1.2.1"
 typing_extensions = "*"
 
 [package.extras]
-cpu = ["jaxlib (==0.1.75)"]
-cuda = ["jaxlib (==0.1.75+cuda11.cudnn82)"]
-cuda11_cudnn805 = ["jaxlib (==0.1.75+cuda11.cudnn805)"]
-cuda11_cudnn82 = ["jaxlib (==0.1.75+cuda11.cudnn82)"]
+cpu = ["jaxlib (==0.1.76)"]
+cuda = ["jaxlib (==0.1.76+cuda11.cudnn82)"]
+cuda11_cudnn805 = ["jaxlib (==0.1.76+cuda11.cudnn805)"]
+cuda11_cudnn82 = ["jaxlib (==0.1.76+cuda11.cudnn82)"]
 minimum-jaxlib = ["jaxlib (==0.1.74)"]
-tpu = ["jaxlib (==0.1.75)", "libtpu-nightly (==0.1.dev20211208)", "requests"]
+tpu = ["jaxlib (==0.1.76)", "libtpu-nightly (==0.1.dev20220128)", "requests"]
 
 [[package]]
 name = "jaxlib"
-version = "0.1.75"
+version = "0.1.76"
 description = "XLA library for JAX"
 category = "main"
 optional = false
@@ -247,7 +277,7 @@ python-versions = ">=3.7"
 [package.dependencies]
 absl-py = "*"
 flatbuffers = ">=1.12,<3.0"
-numpy = ">=1.18"
+numpy = ">=1.19"
 scipy = "*"
 
 [[package]]
@@ -264,6 +294,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -293,6 +334,25 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -338,11 +398,11 @@ python-versions = "*"
 
 [[package]]
 name = "numpy"
-version = "1.18.5"
+version = "1.21.6"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7,<3.11"
 
 [[package]]
 name = "opt-einsum"
@@ -370,6 +430,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -378,6 +454,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -489,6 +577,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -542,6 +641,30 @@ python-versions = ">=3.7,<3.11"
 [package.dependencies]
 numpy = ">=1.16.5,<1.23.0"
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -758,20 +881,20 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
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+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:dfe4c1fedfde4e2fbc009d5ad420647f7730d719786388b7de0999bf32c0d9fd"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:f07f1f00e22b231dd3d9b9208692042e29792d6bd4f6639415d2f23158a80013"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1802f34298f5ba11d55e5bb09c31997dc0c6aed919658dfdf0198a2fe75d5490"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -1091,6 +1425,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1262,6 +1600,14 @@ scipy = [
     {file = "scipy-1.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:3f78181a153fa21c018d346f595edd648344751d7f03ab94b398be2ad083ed3e"},
     {file = "scipy-1.7.3.tar.gz", hash = "sha256:ab5875facfdef77e0a47d5fd39ea178b58e60e454a4c85aa1e52fcb80db7babf"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
@@ -1419,6 +1765,6 @@ wrapt = [
     {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/jax_min/pyproject_overrides.toml b/poetryenvs/jax_min/pyproject_overrides.toml
index c822c2e7..a1661351 100644
--- a/poetryenvs/jax_min/pyproject_overrides.toml
+++ b/poetryenvs/jax_min/pyproject_overrides.toml
@@ -1,4 +1,3 @@
 [tool.poetry.dependencies]
 python = "3.7.*"
 jax = { version = "0.2.*", extras = ["cpu"] }
-numpy = "1.18.*"
diff --git a/poetryenvs/np_max/poetry.lock b/poetryenvs/np_max/poetry.lock
index a2f45886..0492edf7 100644
--- a/poetryenvs/np_max/poetry.lock
+++ b/poetryenvs/np_max/poetry.lock
@@ -119,6 +119,32 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "contourpy"
+version = "1.0.5"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.16"
+
+[package.extras]
+test-no-codebase = ["pillow", "matplotlib", "pytest"]
+test-minimal = ["pytest"]
+test = ["isort", "flake8", "pillow", "matplotlib", "pytest"]
+docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"]
+bokeh = ["selenium", "bokeh"]
+
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -138,6 +164,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -190,6 +238,14 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -219,6 +275,26 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.6.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.19"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -265,7 +341,7 @@ python-versions = "*"
 name = "numpy"
 version = "1.21.6"
 description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7,<3.11"
 
@@ -280,6 +356,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.3.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = {version = ">=1.21.0", markers = "python_version >= \"3.10\""}
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -288,6 +380,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -396,6 +500,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -438,6 +553,31 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "7.0.5"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -654,7 +794,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "a0829c0261fd33f9e088ad848af46b682c81c67c0161a22ea7e9a46a87b3af5d"
+content-hash = "46f256cc52d72855985a8914504b160238d08075ea11fb28401229c6bdac9b1b"
 
 [metadata.files]
 alabaster = [
@@ -699,6 +839,81 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+contourpy = [
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87121b9428ac568fb84fae4af5e7852fc34f02eadc4e3e91f6c8989327692186"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1fb782982c42cee667b892a0b0c52a9f6c7ecf1da5c5f4345845f04eaa862f93"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:689d7d2a840619915d0abd1ecc6e399fee202f8ad315acda2807f4ca420d0802"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d88814befbd1433152c5f6dd536905149ba028d795a22555b149ae0a36024d9e"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df65f4b2b4e74977f0336bef12a88051ab24e6a16873cd9249f34d67cb3e345d"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6b4c0c723664f65c2a47c8cb6ebbf660b0b2e2d936adf2e8503d4e93359465"},
+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bcc98d397c3dea45d5b262029564b29cb8e945f2607a38bee6163694c0a8b4ef"},
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+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cdacddb18d55ffec42d1907079cdc04ec4fa8a990cdf5b9d9fe67d281fc0d12e"},
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@@ -953,6 +1372,10 @@ pytest = [
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 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
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     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1093,6 +1516,14 @@ requests = [
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 ]
+setuptools-scm = [
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+]
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+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
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diff --git a/poetryenvs/np_max/pyproject_overrides.toml b/poetryenvs/np_max/pyproject_overrides.toml
index 312e3f8f..aa1b8882 100644
--- a/poetryenvs/np_max/pyproject_overrides.toml
+++ b/poetryenvs/np_max/pyproject_overrides.toml
@@ -1,3 +1,2 @@
 [tool.poetry.dependencies]
 python = "3.10.*"
-numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/np_min/poetry.lock b/poetryenvs/np_min/poetry.lock
index 08f765ac..f6dcd191 100644
--- a/poetryenvs/np_min/poetry.lock
+++ b/poetryenvs/np_min/poetry.lock
@@ -122,6 +122,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -141,6 +149,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -210,6 +240,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -239,6 +280,25 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -284,11 +344,11 @@ python-versions = "*"
 
 [[package]]
 name = "numpy"
-version = "1.17.5"
+version = "1.21.6"
 description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
+category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7,<3.11"
 
 [[package]]
 name = "packaging"
@@ -301,6 +361,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -309,6 +385,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -420,6 +508,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -462,6 +561,30 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -678,20 +801,20 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "972829fcb6f403cc059e65ba83e69cd40676ecd6c7a744f19d6e7abccda3431c"
+content-hash = "764a049508847818bd1bb9ea08a8c36244d6f7c70c86f761847c59ee966681ff"
 
 [metadata.files]
 alabaster = [
@@ -736,6 +859,10 @@ colorama = [
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 ]
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+]
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@@ -744,6 +871,10 @@ docutils = [
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 ]
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+]
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@@ -768,6 +899,76 @@ jinja2 = [
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 ]
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+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d1f14f5f691f55e1b47f824ca4fdcb4b19b4323fe43cc7bb105988cad7496be"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:dfe4c1fedfde4e2fbc009d5ad420647f7730d719786388b7de0999bf32c0d9fd"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:f07f1f00e22b231dd3d9b9208692042e29792d6bd4f6639415d2f23158a80013"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1802f34298f5ba11d55e5bb09c31997dc0c6aed919658dfdf0198a2fe75d5490"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -984,6 +1318,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1124,6 +1462,14 @@ requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
@@ -1281,6 +1627,6 @@ wrapt = [
     {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/np_min/pyproject_overrides.toml b/poetryenvs/np_min/pyproject_overrides.toml
index 0969beeb..9ff4852f 100644
--- a/poetryenvs/np_min/pyproject_overrides.toml
+++ b/poetryenvs/np_min/pyproject_overrides.toml
@@ -1,3 +1,2 @@
 [tool.poetry.dependencies]
 python = "3.7.*"
-numpy = "1.17.*"
diff --git a/poetryenvs/py_max/poetry.lock b/poetryenvs/py_max/poetry.lock
index 5442bc6c..0492edf7 100644
--- a/poetryenvs/py_max/poetry.lock
+++ b/poetryenvs/py_max/poetry.lock
@@ -119,6 +119,32 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "contourpy"
+version = "1.0.5"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.16"
+
+[package.extras]
+test-no-codebase = ["pillow", "matplotlib", "pytest"]
+test-minimal = ["pytest"]
+test = ["isort", "flake8", "pillow", "matplotlib", "pytest"]
+docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"]
+bokeh = ["selenium", "bokeh"]
+
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -138,6 +164,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -190,6 +238,14 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -219,6 +275,26 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.6.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.19"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -261,6 +337,14 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "numpy"
+version = "1.21.6"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "dev"
+optional = false
+python-versions = ">=3.7,<3.11"
+
 [[package]]
 name = "packaging"
 version = "21.3"
@@ -272,6 +356,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.3.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = {version = ">=1.21.0", markers = "python_version >= \"3.10\""}
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -280,6 +380,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -388,6 +500,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -430,6 +553,31 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "7.0.5"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -646,7 +794,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "b6a94b9557ee0d555ebfb320e3a6c1fb76c4cb1e588deb758a4e4034c626e9fb"
+content-hash = "46f256cc52d72855985a8914504b160238d08075ea11fb28401229c6bdac9b1b"
 
 [metadata.files]
 alabaster = [
@@ -691,6 +839,81 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+contourpy = [
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87121b9428ac568fb84fae4af5e7852fc34f02eadc4e3e91f6c8989327692186"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1fb782982c42cee667b892a0b0c52a9f6c7ecf1da5c5f4345845f04eaa862f93"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:689d7d2a840619915d0abd1ecc6e399fee202f8ad315acda2807f4ca420d0802"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d88814befbd1433152c5f6dd536905149ba028d795a22555b149ae0a36024d9e"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df65f4b2b4e74977f0336bef12a88051ab24e6a16873cd9249f34d67cb3e345d"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6b4c0c723664f65c2a47c8cb6ebbf660b0b2e2d936adf2e8503d4e93359465"},
+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bcc98d397c3dea45d5b262029564b29cb8e945f2607a38bee6163694c0a8b4ef"},
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+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cdacddb18d55ffec42d1907079cdc04ec4fa8a990cdf5b9d9fe67d281fc0d12e"},
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+    {file = "Pillow-9.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:fac2d65901fb0fdf20363fbd345c01958a742f2dc62a8dd4495af66e3ff502a4"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:ad2277b185ebce47a63f4dc6302e30f05762b688f8dc3de55dbae4651872cdf3"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c7b502bc34f6e32ba022b4a209638f9e097d7a9098104ae420eb8186217ebbb"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d1f14f5f691f55e1b47f824ca4fdcb4b19b4323fe43cc7bb105988cad7496be"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:dfe4c1fedfde4e2fbc009d5ad420647f7730d719786388b7de0999bf32c0d9fd"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:f07f1f00e22b231dd3d9b9208692042e29792d6bd4f6639415d2f23158a80013"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1802f34298f5ba11d55e5bb09c31997dc0c6aed919658dfdf0198a2fe75d5490"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -912,6 +1372,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1052,6 +1516,14 @@ requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-7.0.5-py3-none-any.whl", hash = "sha256:7930f720905e03ccd1e1d821db521bff7ec2ac9cf0ceb6552dd73d24a45d3b02"},
+    {file = "setuptools_scm-7.0.5.tar.gz", hash = "sha256:031e13af771d6f892b941adb6ea04545bbf91ebc5ce68c78aaf3fff6e1fb4844"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
diff --git a/poetryenvs/py_min/poetry.lock b/poetryenvs/py_min/poetry.lock
index 483bf71d..f6dcd191 100644
--- a/poetryenvs/py_min/poetry.lock
+++ b/poetryenvs/py_min/poetry.lock
@@ -122,6 +122,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -141,6 +149,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -210,6 +240,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -239,6 +280,25 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -282,6 +342,14 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "numpy"
+version = "1.21.6"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "dev"
+optional = false
+python-versions = ">=3.7,<3.11"
+
 [[package]]
 name = "packaging"
 version = "21.3"
@@ -293,6 +361,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -301,6 +385,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -412,6 +508,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -454,6 +561,30 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -670,20 +801,20 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "356d36a8ad3bb06fe2cb08d7c98e45741f2dfeef22df44b055a0dadde99e2c2b"
+content-hash = "764a049508847818bd1bb9ea08a8c36244d6f7c70c86f761847c59ee966681ff"
 
 [metadata.files]
 alabaster = [
@@ -728,6 +859,10 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+cycler = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 dill = [
     {file = "dill-0.3.5.1-py2.py3-none-any.whl", hash = "sha256:33501d03270bbe410c72639b350e941882a8b0fd55357580fbc873fba0c59302"},
     {file = "dill-0.3.5.1.tar.gz", hash = "sha256:d75e41f3eff1eee599d738e76ba8f4ad98ea229db8b085318aa2b3333a208c86"},
@@ -736,6 +871,10 @@ docutils = [
     {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
     {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
 ]
+fonttools = [
+    {file = "fonttools-4.37.4-py3-none-any.whl", hash = "sha256:afae1b39555f9c3f0ad1f0f1daf678e5ad157e38c8842ecb567951bf1a9b9fd7"},
+    {file = "fonttools-4.37.4.zip", hash = "sha256:86918c150c6412798e15a0de6c3e0d061ddefddd00f97b4f7b43dfa867ad315e"},
+]
 idna = [
     {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
     {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
@@ -760,6 +899,76 @@ jinja2 = [
     {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
     {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
 ]
+kiwisolver = [
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"},
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+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"},
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+    {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"},
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+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:dfe4c1fedfde4e2fbc009d5ad420647f7730d719786388b7de0999bf32c0d9fd"},
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+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1802f34298f5ba11d55e5bb09c31997dc0c6aed919658dfdf0198a2fe75d5490"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -953,6 +1318,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1093,6 +1462,14 @@ requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
@@ -1250,6 +1627,6 @@ wrapt = [
     {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/tf_max/poetry.lock b/poetryenvs/tf_max/poetry.lock
index 57b9c063..39f8626b 100644
--- a/poetryenvs/tf_max/poetry.lock
+++ b/poetryenvs/tf_max/poetry.lock
@@ -146,6 +146,32 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "contourpy"
+version = "1.0.5"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.16"
+
+[package.extras]
+test-no-codebase = ["pillow", "matplotlib", "pytest"]
+test-minimal = ["pytest"]
+test = ["isort", "flake8", "pillow", "matplotlib", "pytest"]
+docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"]
+bokeh = ["selenium", "bokeh"]
+
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -173,6 +199,28 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "gast"
 version = "0.4.0"
@@ -329,6 +377,14 @@ tests = ["pytest-cov", "pytest-xdist", "pytest", "keras", "tensorflow", "pillow"
 pep8 = ["flake8"]
 image = ["Pillow (>=5.2.0)", "scipy (>=0.14)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -377,6 +433,26 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.6.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.19"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -466,6 +542,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.3.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = {version = ">=1.21.0", markers = "python_version >= \"3.10\""}
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -474,6 +566,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -609,6 +713,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -677,6 +792,23 @@ python-versions = ">=3.6,<4"
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "setuptools-scm"
+version = "7.0.5"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1017,7 +1149,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "a8d06a2fe87ce9f5ee74a75bbbd4a45944936f4c02f0d7a132944c49daebcb86"
+content-hash = "c1b1c97e42ffd6c24b5abf81d62496b4306f308d6c56273cc49671201c2a3eff"
 
 [metadata.files]
 absl-py = [
@@ -1074,6 +1206,81 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+contourpy = [
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87121b9428ac568fb84fae4af5e7852fc34f02eadc4e3e91f6c8989327692186"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1fb782982c42cee667b892a0b0c52a9f6c7ecf1da5c5f4345845f04eaa862f93"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:689d7d2a840619915d0abd1ecc6e399fee202f8ad315acda2807f4ca420d0802"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d88814befbd1433152c5f6dd536905149ba028d795a22555b149ae0a36024d9e"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df65f4b2b4e74977f0336bef12a88051ab24e6a16873cd9249f34d67cb3e345d"},
+    {file = "contourpy-1.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6b4c0c723664f65c2a47c8cb6ebbf660b0b2e2d936adf2e8503d4e93359465"},
+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bcc98d397c3dea45d5b262029564b29cb8e945f2607a38bee6163694c0a8b4ef"},
+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:2bf5c846c257578b03d498b20f54f53551616a507d8e5463511c58bb58e9a9cf"},
+    {file = "contourpy-1.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cdacddb18d55ffec42d1907079cdc04ec4fa8a990cdf5b9d9fe67d281fc0d12e"},
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 six = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
diff --git a/poetryenvs/tf_max/pyproject_overrides.toml b/poetryenvs/tf_max/pyproject_overrides.toml
index 42073bf3..128b4050 100644
--- a/poetryenvs/tf_max/pyproject_overrides.toml
+++ b/poetryenvs/tf_max/pyproject_overrides.toml
@@ -1,4 +1,3 @@
 [tool.poetry.dependencies]
 python = "3.10.*"
 tensorflow = "2.10.*"
-numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/tf_min/poetry.lock b/poetryenvs/tf_min/poetry.lock
index d378d78c..e54da277 100644
--- a/poetryenvs/tf_min/poetry.lock
+++ b/poetryenvs/tf_min/poetry.lock
@@ -152,6 +152,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "docutils"
 version = "0.19"
@@ -168,6 +176,28 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "gast"
 version = "0.3.3"
@@ -334,6 +364,17 @@ tests = ["pytest-cov", "pytest-xdist", "pytest", "keras", "tensorflow", "pillow"
 pep8 = ["flake8"]
 image = ["Pillow (>=5.2.0)", "scipy (>=0.14)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -377,6 +418,25 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.6.1"
@@ -466,6 +526,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -474,6 +550,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -607,6 +695,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -675,6 +774,22 @@ python-versions = ">=3.6,<4"
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
 [[package]]
 name = "six"
 version = "1.15.0"
@@ -993,20 +1108,20 @@ python-versions = "*"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "348ffa3a955d1af11aac7fd120a9484843b7733bb45212af597525a4826b5aff"
+content-hash = "ff9c6ef2bb779a9c2629519e5f1df57fb86761df25a390f0d742270a968be211"
 
 [metadata.files]
 absl-py = [
@@ -1063,6 +1178,10 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+cycler = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 docutils = [
     {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
     {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
@@ -1071,6 +1190,10 @@ flatbuffers = [
     {file = "flatbuffers-1.12-py2.py3-none-any.whl", hash = "sha256:9e9ef47fa92625c4721036e7c4124182668dc6021d9e7c73704edd395648deb9"},
     {file = "flatbuffers-1.12.tar.gz", hash = "sha256:63bb9a722d5e373701913e226135b28a6f6ac200d5cc7b4d919fa38d73b44610"},
 ]
+fonttools = [
+    {file = "fonttools-4.37.4-py3-none-any.whl", hash = "sha256:afae1b39555f9c3f0ad1f0f1daf678e5ad157e38c8842ecb567951bf1a9b9fd7"},
+    {file = "fonttools-4.37.4.zip", hash = "sha256:86918c150c6412798e15a0de6c3e0d061ddefddd00f97b4f7b43dfa867ad315e"},
+]
 gast = [
     {file = "gast-0.3.3-py2.py3-none-any.whl", hash = "sha256:8f46f5be57ae6889a4e16e2ca113b1703ef17f2b0abceb83793eaba9e1351a45"},
     {file = "gast-0.3.3.tar.gz", hash = "sha256:b881ef288a49aa81440d2c5eb8aeefd4c2bb8993d5f50edae7413a85bfdb3b57"},
@@ -1188,6 +1311,76 @@ keras-preprocessing = [
     {file = "Keras_Preprocessing-1.1.2-py2.py3-none-any.whl", hash = "sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b"},
     {file = "Keras_Preprocessing-1.1.2.tar.gz", hash = "sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"},
 ]
+kiwisolver = [
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+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -1483,6 +1799,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1631,6 +1951,10 @@ rsa = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
 six = [
     {file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
     {file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
@@ -1768,6 +2092,6 @@ wrapt = [
     {file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/tfp_max/poetry.lock b/poetryenvs/tfp_max/poetry.lock
index 579246b2..20919d81 100644
--- a/poetryenvs/tfp_max/poetry.lock
+++ b/poetryenvs/tfp_max/poetry.lock
@@ -154,6 +154,32 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "contourpy"
+version = "1.0.5"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.16"
+
+[package.extras]
+test-no-codebase = ["pillow", "matplotlib", "pytest"]
+test-minimal = ["pytest"]
+test = ["isort", "flake8", "pillow", "matplotlib", "pytest"]
+docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"]
+bokeh = ["selenium", "bokeh"]
+
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "decorator"
 version = "5.1.1"
@@ -197,6 +223,28 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "gast"
 version = "0.4.0"
@@ -353,6 +401,14 @@ tests = ["pytest-cov", "pytest-xdist", "pytest", "keras", "tensorflow", "pillow"
 pep8 = ["flake8"]
 image = ["Pillow (>=5.2.0)", "scipy (>=0.14)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -401,6 +457,26 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.6.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.19"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -490,6 +566,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.3.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = {version = ">=1.21.0", markers = "python_version >= \"3.10\""}
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -498,6 +590,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -633,6 +737,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -701,6 +816,23 @@ python-versions = ">=3.6,<4"
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "setuptools-scm"
+version = "7.0.5"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1062,7 +1194,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
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+content-hash = "6c3f56e85f8fd3b26eed380aa00f864383087d9037763ad0c10bdbb4ef325d28"
 
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 absl-py = [
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+    {file = "Pillow-9.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea98f633d45f7e815db648fd7ff0f19e328302ac36427343e4432c84432e7ff4"},
+    {file = "Pillow-9.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7761afe0126d046974a01e030ae7529ed0ca6a196de3ec6937c11df0df1bc91c"},
+    {file = "Pillow-9.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a54614049a18a2d6fe156e68e188da02a046a4a93cf24f373bffd977e943421"},
+    {file = "Pillow-9.2.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:5aed7dde98403cd91d86a1115c78d8145c83078e864c1de1064f52e6feb61b20"},
+    {file = "Pillow-9.2.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:13b725463f32df1bfeacbf3dd197fb358ae8ebcd8c5548faa75126ea425ccb60"},
+    {file = "Pillow-9.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:808add66ea764ed97d44dda1ac4f2cfec4c1867d9efb16a33d158be79f32b8a4"},
+    {file = "Pillow-9.2.0-cp39-cp39-win32.whl", hash = "sha256:337a74fd2f291c607d220c793a8135273c4c2ab001b03e601c36766005f36885"},
+    {file = "Pillow-9.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:fac2d65901fb0fdf20363fbd345c01958a742f2dc62a8dd4495af66e3ff502a4"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:ad2277b185ebce47a63f4dc6302e30f05762b688f8dc3de55dbae4651872cdf3"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c7b502bc34f6e32ba022b4a209638f9e097d7a9098104ae420eb8186217ebbb"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d1f14f5f691f55e1b47f824ca4fdcb4b19b4323fe43cc7bb105988cad7496be"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:dfe4c1fedfde4e2fbc009d5ad420647f7730d719786388b7de0999bf32c0d9fd"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:f07f1f00e22b231dd3d9b9208692042e29792d6bd4f6639415d2f23158a80013"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1802f34298f5ba11d55e5bb09c31997dc0c6aed919658dfdf0198a2fe75d5490"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -1583,6 +1994,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1731,6 +2146,10 @@ rsa = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-7.0.5-py3-none-any.whl", hash = "sha256:7930f720905e03ccd1e1d821db521bff7ec2ac9cf0ceb6552dd73d24a45d3b02"},
+    {file = "setuptools_scm-7.0.5.tar.gz", hash = "sha256:031e13af771d6f892b941adb6ea04545bbf91ebc5ce68c78aaf3fff6e1fb4844"},
+]
 six = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
diff --git a/poetryenvs/tfp_max/pyproject_overrides.toml b/poetryenvs/tfp_max/pyproject_overrides.toml
index a896bce1..387c9193 100644
--- a/poetryenvs/tfp_max/pyproject_overrides.toml
+++ b/poetryenvs/tfp_max/pyproject_overrides.toml
@@ -2,4 +2,3 @@
 python = "3.10.*"
 tensorflow = "2.10.*"
 tensorflow-probability = "0.18.*"
-numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/tfp_min/poetry.lock b/poetryenvs/tfp_min/poetry.lock
index 414c64f4..45f5dd52 100644
--- a/poetryenvs/tfp_min/poetry.lock
+++ b/poetryenvs/tfp_min/poetry.lock
@@ -160,6 +160,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "decorator"
 version = "5.1.1"
@@ -192,6 +200,28 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "gast"
 version = "0.3.3"
@@ -358,6 +388,17 @@ tests = ["pytest-cov", "pytest-xdist", "pytest", "keras", "tensorflow", "pillow"
 pep8 = ["flake8"]
 image = ["Pillow (>=5.2.0)", "scipy (>=0.14)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -401,6 +442,25 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.6.1"
@@ -490,6 +550,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -498,6 +574,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -631,6 +719,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -699,6 +798,22 @@ python-versions = ">=3.6,<4"
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
 [[package]]
 name = "six"
 version = "1.15.0"
@@ -1037,20 +1152,20 @@ python-versions = "*"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "cee3dcc3bb06a69ba786cc91925d97f63beaccb273abfff8e059d1ab036ddabb"
+content-hash = "1ffdb1c7db53e6c6fe36edac9c15c83d353a32064d70be21992cd743491bd4c9"
 
 [metadata.files]
 absl-py = [
@@ -1111,6 +1226,10 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+cycler = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 decorator = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -1147,6 +1266,10 @@ flatbuffers = [
     {file = "flatbuffers-1.12-py2.py3-none-any.whl", hash = "sha256:9e9ef47fa92625c4721036e7c4124182668dc6021d9e7c73704edd395648deb9"},
     {file = "flatbuffers-1.12.tar.gz", hash = "sha256:63bb9a722d5e373701913e226135b28a6f6ac200d5cc7b4d919fa38d73b44610"},
 ]
+fonttools = [
+    {file = "fonttools-4.37.4-py3-none-any.whl", hash = "sha256:afae1b39555f9c3f0ad1f0f1daf678e5ad157e38c8842ecb567951bf1a9b9fd7"},
+    {file = "fonttools-4.37.4.zip", hash = "sha256:86918c150c6412798e15a0de6c3e0d061ddefddd00f97b4f7b43dfa867ad315e"},
+]
 gast = [
     {file = "gast-0.3.3-py2.py3-none-any.whl", hash = "sha256:8f46f5be57ae6889a4e16e2ca113b1703ef17f2b0abceb83793eaba9e1351a45"},
     {file = "gast-0.3.3.tar.gz", hash = "sha256:b881ef288a49aa81440d2c5eb8aeefd4c2bb8993d5f50edae7413a85bfdb3b57"},
@@ -1264,6 +1387,76 @@ keras-preprocessing = [
     {file = "Keras_Preprocessing-1.1.2-py2.py3-none-any.whl", hash = "sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b"},
     {file = "Keras_Preprocessing-1.1.2.tar.gz", hash = "sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"},
 ]
+kiwisolver = [
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ad8285b01b0d4695102546b342b493b3ccc6781fc28c8c6a1bb63e95d22f09"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a68b62a02953b9841730db7797422f983935aeefceb1679f0fc85cbfbd311c32"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-win32.whl", hash = "sha256:e92a513161077b53447160b9bd8f522edfbed4bd9759e4c18ab05d7ef7e49408"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"},
+    {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ea21f66820452a3f5d1655f8704a60d66ba1191359b96541eaf457710a5fc6"},
+    {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:bc9db8a3efb3e403e4ecc6cd9489ea2bac94244f80c78e27c31dcc00d2790ac2"},
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+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1707,6 +2027,10 @@ rsa = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
 six = [
     {file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
     {file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
@@ -1847,6 +2171,6 @@ wrapt = [
     {file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/torch_max/poetry.lock b/poetryenvs/torch_max/poetry.lock
index cfc81686..82009a33 100644
--- a/poetryenvs/torch_max/poetry.lock
+++ b/poetryenvs/torch_max/poetry.lock
@@ -119,6 +119,32 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "contourpy"
+version = "1.0.5"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = ">=1.16"
+
+[package.extras]
+test-no-codebase = ["pillow", "matplotlib", "pytest"]
+test-minimal = ["pytest"]
+test = ["isort", "flake8", "pillow", "matplotlib", "pytest"]
+docs = ["sphinx-rtd-theme", "sphinx", "docutils (<0.18)"]
+bokeh = ["selenium", "bokeh"]
+
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -138,6 +164,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -190,6 +238,14 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -219,6 +275,26 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.6.1"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.19"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -265,7 +341,7 @@ python-versions = "*"
 name = "numpy"
 version = "1.21.6"
 description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7,<3.11"
 
@@ -280,6 +356,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.3.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = {version = ">=1.21.0", markers = "python_version >= \"3.10\""}
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -288,6 +380,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -396,6 +500,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -438,6 +553,31 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "7.0.5"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -665,7 +805,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "d13f757e91c744f939be6f6f5d2aad8ec81cd7c5b0e1b83bedb688445117eceb"
+content-hash = "be3f2a381a69591c4ae8f73cb44b0251d3d96aa2855aada90476f5b54d99f394"
 
 [metadata.files]
 alabaster = [
@@ -710,6 +850,81 @@ colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
 ]
+contourpy = [
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:87121b9428ac568fb84fae4af5e7852fc34f02eadc4e3e91f6c8989327692186"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1fb782982c42cee667b892a0b0c52a9f6c7ecf1da5c5f4345845f04eaa862f93"},
+    {file = "contourpy-1.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:689d7d2a840619915d0abd1ecc6e399fee202f8ad315acda2807f4ca420d0802"},
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+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -964,6 +1383,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1104,6 +1527,14 @@ requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-7.0.5-py3-none-any.whl", hash = "sha256:7930f720905e03ccd1e1d821db521bff7ec2ac9cf0ceb6552dd73d24a45d3b02"},
+    {file = "setuptools_scm-7.0.5.tar.gz", hash = "sha256:031e13af771d6f892b941adb6ea04545bbf91ebc5ce68c78aaf3fff6e1fb4844"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
diff --git a/poetryenvs/torch_max/pyproject_overrides.toml b/poetryenvs/torch_max/pyproject_overrides.toml
index 87ac454e..b58efa5f 100644
--- a/poetryenvs/torch_max/pyproject_overrides.toml
+++ b/poetryenvs/torch_max/pyproject_overrides.toml
@@ -1,4 +1,3 @@
 [tool.poetry.dependencies]
 python = "3.10.*"
 torch = "1.*.*"
-numpy = "1.21.*"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
diff --git a/poetryenvs/torch_min/poetry.lock b/poetryenvs/torch_min/poetry.lock
index a4d034b7..7f752882 100644
--- a/poetryenvs/torch_min/poetry.lock
+++ b/poetryenvs/torch_min/poetry.lock
@@ -122,6 +122,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "dill"
 version = "0.3.5.1"
@@ -141,6 +149,28 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "fonttools"
+version = "4.37.4"
+description = "Tools to manipulate font files"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["scipy", "munkres"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=14.0.0)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
+
 [[package]]
 name = "idna"
 version = "3.4"
@@ -210,6 +240,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.4"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "lark"
 version = "1.1.2"
@@ -239,6 +280,25 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "matplotlib"
+version = "3.5.3"
+description = "Python plotting package"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.0.1"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.2.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=4,<7"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -286,7 +346,7 @@ python-versions = "*"
 name = "numpy"
 version = "1.21.6"
 description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.7,<3.11"
 
@@ -301,6 +361,22 @@ python-versions = ">=3.6"
 [package.dependencies]
 pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
+[[package]]
+name = "pandas"
+version = "1.1.5"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+
+[package.dependencies]
+numpy = ">=1.15.4"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.2"
+
+[package.extras]
+test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pathspec"
 version = "0.10.1"
@@ -309,6 +385,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "pillow"
+version = "9.2.0"
+description = "Python Imaging Library (Fork)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "platformdirs"
 version = "2.5.2"
@@ -420,6 +508,17 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "pytz"
 version = "2022.4"
@@ -462,6 +561,30 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+packaging = ">=20.0"
+tomli = ">=1.0.0"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
@@ -686,20 +809,20 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "43356e174ac17176c3dc58cfb3f0a0af8a865b1915c2f222109dc1f186b6890f"
+content-hash = "16271e7586718b125e3687e707c276916afaa1a18e669561b8c38a91d009a787"
 
 [metadata.files]
 alabaster = [
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 ]
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+]
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@@ -752,6 +879,10 @@ docutils = [
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 ]
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+]
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 ]
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+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c7b502bc34f6e32ba022b4a209638f9e097d7a9098104ae420eb8186217ebbb"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d1f14f5f691f55e1b47f824ca4fdcb4b19b4323fe43cc7bb105988cad7496be"},
+    {file = "Pillow-9.2.0-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:dfe4c1fedfde4e2fbc009d5ad420647f7730d719786388b7de0999bf32c0d9fd"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:f07f1f00e22b231dd3d9b9208692042e29792d6bd4f6639415d2f23158a80013"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1802f34298f5ba11d55e5bb09c31997dc0c6aed919658dfdf0198a2fe75d5490"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17d4cafe22f050b46d983b71c707162d63d796a1235cdf8b9d7a112e97b15bac"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:96b5e6874431df16aee0c1ba237574cb6dff1dcb173798faa6a9d8b399a05d0e"},
+    {file = "Pillow-9.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927"},
+    {file = "Pillow-9.2.0.tar.gz", hash = "sha256:75e636fd3e0fb872693f23ccb8a5ff2cd578801251f3a4f6854c6a5d437d3c04"},
+]
 platformdirs = [
     {file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
     {file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
@@ -1002,6 +1326,10 @@ pytest = [
     {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
     {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 pytz = [
     {file = "pytz-2022.4-py2.py3-none-any.whl", hash = "sha256:2c0784747071402c6e99f0bafdb7da0fa22645f06554c7ae06bf6358897e9c91"},
     {file = "pytz-2022.4.tar.gz", hash = "sha256:48ce799d83b6f8aab2020e369b627446696619e79645419610b9facd909b3174"},
@@ -1142,6 +1470,14 @@ requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
 ]
+setuptools-scm = [
+    {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
+    {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 snowballstemmer = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
@@ -1310,6 +1646,6 @@ wrapt = [
     {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 zipp = [
-    {file = "zipp-3.8.1-py3-none-any.whl", hash = "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"},
-    {file = "zipp-3.8.1.tar.gz", hash = "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2"},
+    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
+    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
 ]
diff --git a/poetryenvs/torch_min/pyproject_overrides.toml b/poetryenvs/torch_min/pyproject_overrides.toml
index a1dc378d..049cb439 100644
--- a/poetryenvs/torch_min/pyproject_overrides.toml
+++ b/poetryenvs/torch_min/pyproject_overrides.toml
@@ -1,4 +1,3 @@
 [tool.poetry.dependencies]
 python = "3.7.*"
 torch = "1.0.*"
-numpy = "1.*.*"
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index dd7ae57c..59a59f31 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -36,16 +36,21 @@ python = ">=3.7,<3.11"
 packaging = ">=18.0.0"
 
 [tool.poetry.dev-dependencies]
+Sphinx = "^5.2.2"
 black = "20.8b1"  # Pinned for backwards compatibility with the old stuff.
 click = "<8.1.0"  # Required by `black = "20.8b1"`.
 isort = "^5.10.0"
-mypy = ">0.920,<0.982"
+matplotlib = "^3.0.0"
+mypy = ">0.920,!=0.982"
+numpy = "<1.22.0"  # MyPy is unhappy about Python 3.7 and newer versions of NumPy.
+# Pandas constrained to reduce Poetry search-time. Feel free to loosen this when we no longer need
+# to support Python 3.7:
+pandas = ">=1.1.0,<1.4.0"
 pylint = "^2.10.0"
 pytest = "^6.0.0"
+sphinx-autoapi = "^2.0.0"
 taskipy = "^1.10.0"
 tomlkit = "^0.11.4"
-Sphinx = "^5.2.2"
-sphinx-autoapi = "^2.0.0"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
@@ -75,7 +80,10 @@ module = [
     "_pytest.*",
     "importlib_metadata.*",
     "jax.*",
+    "matplotlib.*",
     "numpy.*",  # Newer version of numpy does have stubs. We can get rid of this in the future.
+    "pandas.*",
+    "pkg_resources.*",
     "pytest.*",
     "tensorflow.*",
     "tensorflow_probability.*",
@@ -98,27 +106,27 @@ docs_check = """
 
 isort = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX isort XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    isort poetryenv check_shapes tests
+    isort poetryenv check_shapes tests benchmark
 """
 isort_check = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX isort XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    isort --check-only poetryenv check_shapes tests
+    isort --check-only poetryenv check_shapes tests benchmark
 """
 black = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX black XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    black poetryenv check_shapes tests
+    black poetryenv check_shapes tests benchmark
 """
 black_check = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX black XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    black --check poetryenv check_shapes tests
+    black --check poetryenv check_shapes tests benchmark
 """
 mypy = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX mypy XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    mypy poetryenv check_shapes tests
+    mypy poetryenv check_shapes tests benchmark
 """
 pylint = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX pylint XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-    pylint poetryenv check_shapes tests
+    pylint poetryenv check_shapes tests benchmark
 """
 pytest = """
     echo XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX pytest XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
diff --git a/tests/check_shapes/integration/test_jax.py b/tests/check_shapes/integration/test_jax.py
index 0af987de..e425018b 100644
--- a/tests/check_shapes/integration/test_jax.py
+++ b/tests/check_shapes/integration/test_jax.py
@@ -30,7 +30,6 @@
 
 try:
     import jax.numpy as jnp
-    import numpy as np
     from jax import grad, jit, random
 
     requires_jax = lambda f: f
@@ -123,7 +122,7 @@ def step(weights: ndarray) -> ndarray:
                 return weights - LEARNING_RATE * loss_grads(weights)
 
             n_features = training_features.shape[-1]
-            weights = np.zeros((n_features,))
+            weights = jnp.zeros((n_features,))
 
             for _ in range(N_ITERATIONS):
                 weights = step(weights)

From 6a85b05613240fd64fb5fe5672e661c95512219d Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Tue, 11 Oct 2022 14:45:46 +0100
Subject: [PATCH 09/10] More fix for the tfp..._TensorCoercible class. (#27)

---
 check_shapes/integration/tfp.py  | 26 ++++++++++++--------------
 poetry.lock                      |  6 +++---
 poetryenvs/jax_max/poetry.lock   | 20 ++++++++++----------
 poetryenvs/jax_min/poetry.lock   |  6 +++---
 poetryenvs/np_max/poetry.lock    | 20 ++++++++++----------
 poetryenvs/np_min/poetry.lock    |  6 +++---
 poetryenvs/py_max/poetry.lock    | 20 ++++++++++----------
 poetryenvs/py_min/poetry.lock    |  6 +++---
 poetryenvs/tf_max/poetry.lock    | 16 ++++++++--------
 poetryenvs/tf_min/poetry.lock    |  6 +++---
 poetryenvs/tfp_max/poetry.lock   | 16 ++++++++--------
 poetryenvs/tfp_min/poetry.lock   |  6 +++---
 poetryenvs/torch_max/poetry.lock | 20 ++++++++++----------
 poetryenvs/torch_min/poetry.lock |  6 +++---
 pyproject.toml                   |  1 -
 15 files changed, 89 insertions(+), 92 deletions(-)

diff --git a/check_shapes/integration/tfp.py b/check_shapes/integration/tfp.py
index e5ccd482..f5752d93 100644
--- a/check_shapes/integration/tfp.py
+++ b/check_shapes/integration/tfp.py
@@ -16,8 +16,6 @@
 
 from typing import Any
 
-from packaging.version import Version
-
 from ..base_types import Shape
 from ..error_contexts import ErrorContext
 from ..shapes import register_get_shape
@@ -32,6 +30,7 @@ def install_tfp_integration() -> bool:
     :return: Whether TensorFlow-Probability support hooks actually were installed.
     """
     try:
+        import tensorflow as tf
         import tensorflow_probability as tfp
     except ImportError:
         return False  # TensorFlow-Probability not installed - don't install integrations.
@@ -45,19 +44,18 @@ def get_tensorflow_shape(shaped: Any, context: ErrorContext) -> Shape:
 
     # pylint: disable=protected-access  # To access the _TensorCoercible
 
-    if Version(tfp.__version__) < Version("0.14.0"):
-        register_get_shape(
-            tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible
-        )(get_tensorflow_shape)
-    else:
-
-        @register_get_shape(
-            tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible
-        )
-        def get_tensor_coercible_shape(shaped: Any, context: ErrorContext) -> Shape:
-            shape = shaped.shape()
+    @register_get_shape(tfp.python.layers.internal.distribution_tensor_coercible._TensorCoercible)
+    def get_tensor_coercible_shape(shaped: Any, context: ErrorContext) -> Shape:
+        # This one is unpleasant. Sometimes the `shape` is a `TensorShape`, but sometimes it's a
+        # function that returns a `TensorShape`. The version of TensorFlow probability seems to have
+        # something to do with it, but it also seems to be more complicated...
+        shape = shaped.shape
+        if not shape:
+            return None
+        if not isinstance(shape, tf.TensorShape):
+            shape = shape()
             if not shape:
                 return None
-            return tuple(shape)
+        return tuple(shape)
 
     return True
diff --git a/poetry.lock b/poetry.lock
index b14df6fe..cf9d7171 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -354,7 +354,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -479,7 +479,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -814,7 +814,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "0c5ba119a3b7c4ed84f128d4f1cd7c85e1ef20a14b50c761d3a830538a98ce3f"
+content-hash = "fbf52a0c006aeddcdc91487133de02d74ee0899fc96c085b5848bbf9a92d2f41"
 
 [metadata.files]
 alabaster = [
diff --git a/poetryenvs/jax_max/poetry.lock b/poetryenvs/jax_max/poetry.lock
index c3e4835c..972ab838 100644
--- a/poetryenvs/jax_max/poetry.lock
+++ b/poetryenvs/jax_max/poetry.lock
@@ -24,7 +24,7 @@ python-versions = "*"
 
 [[package]]
 name = "astroid"
-version = "2.12.10"
+version = "2.12.11"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -454,7 +454,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -553,14 +553,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.15.3"
+version = "2.15.4"
 description = "python code static checker"
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.12.10,<=2.14.0-dev0"
+astroid = ">=2.12.11,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -577,7 +577,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -927,7 +927,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "f20ca0b26ed93339920e2ed4c00d1f68914fdcc5b32dc71882132ddb97c427fa"
+content-hash = "00cd5147adab1a587051b1216cde407829a7d8c8fb21994e5fd3accc880c9014"
 
 [metadata.files]
 absl-py = [
@@ -943,8 +943,8 @@ appdirs = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 astroid = [
-    {file = "astroid-2.12.10-py3-none-any.whl", hash = "sha256:997e0c735df60d4a4caff27080a3afc51f9bdd693d3572a4a0b7090b645c36c5"},
-    {file = "astroid-2.12.10.tar.gz", hash = "sha256:81f870105d892e73bf535da77a8261aa5bde838fa4ed12bb2f435291a098c581"},
+    {file = "astroid-2.12.11-py3-none-any.whl", hash = "sha256:867a756bbf35b7bc07b35bfa6522acd01f91ad9919df675e8428072869792dce"},
+    {file = "astroid-2.12.11.tar.gz", hash = "sha256:2df4f9980c4511474687895cbfdb8558293c1a826d9118bb09233d7c2bff1c83"},
 ]
 atomicwrites = [
     {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
@@ -1526,8 +1526,8 @@ pygments = [
     {file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
 ]
 pylint = [
-    {file = "pylint-2.15.3-py3-none-any.whl", hash = "sha256:7f6aad1d8d50807f7bc64f89ac75256a9baf8e6ed491cc9bc65592bc3f462cf1"},
-    {file = "pylint-2.15.3.tar.gz", hash = "sha256:5fdfd44af182866999e6123139d265334267339f29961f00c89783155eacc60b"},
+    {file = "pylint-2.15.4-py3-none-any.whl", hash = "sha256:629cf1dbdfb6609d7e7a45815a8bb59300e34aa35783b5ac563acaca2c4022e9"},
+    {file = "pylint-2.15.4.tar.gz", hash = "sha256:5441e9294335d354b7bad57c1044e5bd7cce25c433475d76b440e53452fa5cb8"},
 ]
 pyparsing = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
diff --git a/poetryenvs/jax_min/poetry.lock b/poetryenvs/jax_min/poetry.lock
index d04b5d30..ab8753ec 100644
--- a/poetryenvs/jax_min/poetry.lock
+++ b/poetryenvs/jax_min/poetry.lock
@@ -423,7 +423,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -548,7 +548,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -894,7 +894,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "274234fafa21ee7e9c3d0d3baed1bd44b537b151edd428dac76a84d6a920ccd0"
+content-hash = "a1ca108c1c7c089dd566b8064de7a7a6d9312511fc2e3df748685620d01fb0ff"
 
 [metadata.files]
 absl-py = [
diff --git a/poetryenvs/np_max/poetry.lock b/poetryenvs/np_max/poetry.lock
index 0492edf7..93c067bc 100644
--- a/poetryenvs/np_max/poetry.lock
+++ b/poetryenvs/np_max/poetry.lock
@@ -16,7 +16,7 @@ python-versions = "*"
 
 [[package]]
 name = "astroid"
-version = "2.12.10"
+version = "2.12.11"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -349,7 +349,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -448,14 +448,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.15.3"
+version = "2.15.4"
 description = "python code static checker"
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.12.10,<=2.14.0-dev0"
+astroid = ">=2.12.11,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -472,7 +472,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -794,7 +794,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "46f256cc52d72855985a8914504b160238d08075ea11fb28401229c6bdac9b1b"
+content-hash = "78c6ce2c487c3a5ab1d0b3bf510b4696e643fbffabbd1157ffa252fed76ec3fb"
 
 [metadata.files]
 alabaster = [
@@ -806,8 +806,8 @@ appdirs = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 astroid = [
-    {file = "astroid-2.12.10-py3-none-any.whl", hash = "sha256:997e0c735df60d4a4caff27080a3afc51f9bdd693d3572a4a0b7090b645c36c5"},
-    {file = "astroid-2.12.10.tar.gz", hash = "sha256:81f870105d892e73bf535da77a8261aa5bde838fa4ed12bb2f435291a098c581"},
+    {file = "astroid-2.12.11-py3-none-any.whl", hash = "sha256:867a756bbf35b7bc07b35bfa6522acd01f91ad9919df675e8428072869792dce"},
+    {file = "astroid-2.12.11.tar.gz", hash = "sha256:2df4f9980c4511474687895cbfdb8558293c1a826d9118bb09233d7c2bff1c83"},
 ]
 atomicwrites = [
     {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
@@ -1361,8 +1361,8 @@ pygments = [
     {file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
 ]
 pylint = [
-    {file = "pylint-2.15.3-py3-none-any.whl", hash = "sha256:7f6aad1d8d50807f7bc64f89ac75256a9baf8e6ed491cc9bc65592bc3f462cf1"},
-    {file = "pylint-2.15.3.tar.gz", hash = "sha256:5fdfd44af182866999e6123139d265334267339f29961f00c89783155eacc60b"},
+    {file = "pylint-2.15.4-py3-none-any.whl", hash = "sha256:629cf1dbdfb6609d7e7a45815a8bb59300e34aa35783b5ac563acaca2c4022e9"},
+    {file = "pylint-2.15.4.tar.gz", hash = "sha256:5441e9294335d354b7bad57c1044e5bd7cce25c433475d76b440e53452fa5cb8"},
 ]
 pyparsing = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
diff --git a/poetryenvs/np_min/poetry.lock b/poetryenvs/np_min/poetry.lock
index f6dcd191..579a0b7b 100644
--- a/poetryenvs/np_min/poetry.lock
+++ b/poetryenvs/np_min/poetry.lock
@@ -354,7 +354,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -479,7 +479,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -814,7 +814,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "764a049508847818bd1bb9ea08a8c36244d6f7c70c86f761847c59ee966681ff"
+content-hash = "51221d78104969c8ee4b7733e456ed225133c4896e67a322655b459a32cbcd1d"
 
 [metadata.files]
 alabaster = [
diff --git a/poetryenvs/py_max/poetry.lock b/poetryenvs/py_max/poetry.lock
index 0492edf7..93c067bc 100644
--- a/poetryenvs/py_max/poetry.lock
+++ b/poetryenvs/py_max/poetry.lock
@@ -16,7 +16,7 @@ python-versions = "*"
 
 [[package]]
 name = "astroid"
-version = "2.12.10"
+version = "2.12.11"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -349,7 +349,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -448,14 +448,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.15.3"
+version = "2.15.4"
 description = "python code static checker"
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.12.10,<=2.14.0-dev0"
+astroid = ">=2.12.11,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -472,7 +472,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -794,7 +794,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "46f256cc52d72855985a8914504b160238d08075ea11fb28401229c6bdac9b1b"
+content-hash = "78c6ce2c487c3a5ab1d0b3bf510b4696e643fbffabbd1157ffa252fed76ec3fb"
 
 [metadata.files]
 alabaster = [
@@ -806,8 +806,8 @@ appdirs = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 astroid = [
-    {file = "astroid-2.12.10-py3-none-any.whl", hash = "sha256:997e0c735df60d4a4caff27080a3afc51f9bdd693d3572a4a0b7090b645c36c5"},
-    {file = "astroid-2.12.10.tar.gz", hash = "sha256:81f870105d892e73bf535da77a8261aa5bde838fa4ed12bb2f435291a098c581"},
+    {file = "astroid-2.12.11-py3-none-any.whl", hash = "sha256:867a756bbf35b7bc07b35bfa6522acd01f91ad9919df675e8428072869792dce"},
+    {file = "astroid-2.12.11.tar.gz", hash = "sha256:2df4f9980c4511474687895cbfdb8558293c1a826d9118bb09233d7c2bff1c83"},
 ]
 atomicwrites = [
     {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
@@ -1361,8 +1361,8 @@ pygments = [
     {file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
 ]
 pylint = [
-    {file = "pylint-2.15.3-py3-none-any.whl", hash = "sha256:7f6aad1d8d50807f7bc64f89ac75256a9baf8e6ed491cc9bc65592bc3f462cf1"},
-    {file = "pylint-2.15.3.tar.gz", hash = "sha256:5fdfd44af182866999e6123139d265334267339f29961f00c89783155eacc60b"},
+    {file = "pylint-2.15.4-py3-none-any.whl", hash = "sha256:629cf1dbdfb6609d7e7a45815a8bb59300e34aa35783b5ac563acaca2c4022e9"},
+    {file = "pylint-2.15.4.tar.gz", hash = "sha256:5441e9294335d354b7bad57c1044e5bd7cce25c433475d76b440e53452fa5cb8"},
 ]
 pyparsing = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
diff --git a/poetryenvs/py_min/poetry.lock b/poetryenvs/py_min/poetry.lock
index f6dcd191..579a0b7b 100644
--- a/poetryenvs/py_min/poetry.lock
+++ b/poetryenvs/py_min/poetry.lock
@@ -354,7 +354,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -479,7 +479,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -814,7 +814,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "764a049508847818bd1bb9ea08a8c36244d6f7c70c86f761847c59ee966681ff"
+content-hash = "51221d78104969c8ee4b7733e456ed225133c4896e67a322655b459a32cbcd1d"
 
 [metadata.files]
 alabaster = [
diff --git a/poetryenvs/tf_max/poetry.lock b/poetryenvs/tf_max/poetry.lock
index 39f8626b..3cce2988 100644
--- a/poetryenvs/tf_max/poetry.lock
+++ b/poetryenvs/tf_max/poetry.lock
@@ -24,7 +24,7 @@ python-versions = "*"
 
 [[package]]
 name = "astroid"
-version = "2.12.10"
+version = "2.12.11"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -661,14 +661,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.15.3"
+version = "2.15.4"
 description = "python code static checker"
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.12.10,<=2.14.0-dev0"
+astroid = ">=2.12.11,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -1149,7 +1149,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "c1b1c97e42ffd6c24b5abf81d62496b4306f308d6c56273cc49671201c2a3eff"
+content-hash = "fc06c76a51a8b41e56dade67d1b1f6d38dc472a493ad2ad3b8728a90a1b817d9"
 
 [metadata.files]
 absl-py = [
@@ -1165,8 +1165,8 @@ appdirs = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 astroid = [
-    {file = "astroid-2.12.10-py3-none-any.whl", hash = "sha256:997e0c735df60d4a4caff27080a3afc51f9bdd693d3572a4a0b7090b645c36c5"},
-    {file = "astroid-2.12.10.tar.gz", hash = "sha256:81f870105d892e73bf535da77a8261aa5bde838fa4ed12bb2f435291a098c581"},
+    {file = "astroid-2.12.11-py3-none-any.whl", hash = "sha256:867a756bbf35b7bc07b35bfa6522acd01f91ad9919df675e8428072869792dce"},
+    {file = "astroid-2.12.11.tar.gz", hash = "sha256:2df4f9980c4511474687895cbfdb8558293c1a826d9118bb09233d7c2bff1c83"},
 ]
 astunparse = [
     {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
@@ -1906,8 +1906,8 @@ pygments = [
     {file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
 ]
 pylint = [
-    {file = "pylint-2.15.3-py3-none-any.whl", hash = "sha256:7f6aad1d8d50807f7bc64f89ac75256a9baf8e6ed491cc9bc65592bc3f462cf1"},
-    {file = "pylint-2.15.3.tar.gz", hash = "sha256:5fdfd44af182866999e6123139d265334267339f29961f00c89783155eacc60b"},
+    {file = "pylint-2.15.4-py3-none-any.whl", hash = "sha256:629cf1dbdfb6609d7e7a45815a8bb59300e34aa35783b5ac563acaca2c4022e9"},
+    {file = "pylint-2.15.4.tar.gz", hash = "sha256:5441e9294335d354b7bad57c1044e5bd7cce25c433475d76b440e53452fa5cb8"},
 ]
 pyparsing = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
diff --git a/poetryenvs/tf_min/poetry.lock b/poetryenvs/tf_min/poetry.lock
index e54da277..c000db2d 100644
--- a/poetryenvs/tf_min/poetry.lock
+++ b/poetryenvs/tf_min/poetry.lock
@@ -519,7 +519,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -666,7 +666,7 @@ toml = ">=0.7.1"
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -1121,7 +1121,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "ff9c6ef2bb779a9c2629519e5f1df57fb86761df25a390f0d742270a968be211"
+content-hash = "bc1dcbf0f858ac59fbab18795d8101b5a6fa907a588acc76ac7a6ecb9e61c244"
 
 [metadata.files]
 absl-py = [
diff --git a/poetryenvs/tfp_max/poetry.lock b/poetryenvs/tfp_max/poetry.lock
index 20919d81..90dd9719 100644
--- a/poetryenvs/tfp_max/poetry.lock
+++ b/poetryenvs/tfp_max/poetry.lock
@@ -24,7 +24,7 @@ python-versions = "*"
 
 [[package]]
 name = "astroid"
-version = "2.12.10"
+version = "2.12.11"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -685,14 +685,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.15.3"
+version = "2.15.4"
 description = "python code static checker"
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.12.10,<=2.14.0-dev0"
+astroid = ">=2.12.11,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -1194,7 +1194,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "6c3f56e85f8fd3b26eed380aa00f864383087d9037763ad0c10bdbb4ef325d28"
+content-hash = "bb89c8357b43f7c3eb0ef8fe13868361f2075c3548e108a3f88e2095f30d6684"
 
 [metadata.files]
 absl-py = [
@@ -1210,8 +1210,8 @@ appdirs = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 astroid = [
-    {file = "astroid-2.12.10-py3-none-any.whl", hash = "sha256:997e0c735df60d4a4caff27080a3afc51f9bdd693d3572a4a0b7090b645c36c5"},
-    {file = "astroid-2.12.10.tar.gz", hash = "sha256:81f870105d892e73bf535da77a8261aa5bde838fa4ed12bb2f435291a098c581"},
+    {file = "astroid-2.12.11-py3-none-any.whl", hash = "sha256:867a756bbf35b7bc07b35bfa6522acd01f91ad9919df675e8428072869792dce"},
+    {file = "astroid-2.12.11.tar.gz", hash = "sha256:2df4f9980c4511474687895cbfdb8558293c1a826d9118bb09233d7c2bff1c83"},
 ]
 astunparse = [
     {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
@@ -1983,8 +1983,8 @@ pygments = [
     {file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
 ]
 pylint = [
-    {file = "pylint-2.15.3-py3-none-any.whl", hash = "sha256:7f6aad1d8d50807f7bc64f89ac75256a9baf8e6ed491cc9bc65592bc3f462cf1"},
-    {file = "pylint-2.15.3.tar.gz", hash = "sha256:5fdfd44af182866999e6123139d265334267339f29961f00c89783155eacc60b"},
+    {file = "pylint-2.15.4-py3-none-any.whl", hash = "sha256:629cf1dbdfb6609d7e7a45815a8bb59300e34aa35783b5ac563acaca2c4022e9"},
+    {file = "pylint-2.15.4.tar.gz", hash = "sha256:5441e9294335d354b7bad57c1044e5bd7cce25c433475d76b440e53452fa5cb8"},
 ]
 pyparsing = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
diff --git a/poetryenvs/tfp_min/poetry.lock b/poetryenvs/tfp_min/poetry.lock
index 45f5dd52..0ed22db1 100644
--- a/poetryenvs/tfp_min/poetry.lock
+++ b/poetryenvs/tfp_min/poetry.lock
@@ -543,7 +543,7 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -690,7 +690,7 @@ toml = ">=0.7.1"
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -1165,7 +1165,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "1ffdb1c7db53e6c6fe36edac9c15c83d353a32064d70be21992cd743491bd4c9"
+content-hash = "2604d8ede69c40294dd4e75e1df595509bb7c0db70307ae1cb4661d068507147"
 
 [metadata.files]
 absl-py = [
diff --git a/poetryenvs/torch_max/poetry.lock b/poetryenvs/torch_max/poetry.lock
index 82009a33..8f7c8d85 100644
--- a/poetryenvs/torch_max/poetry.lock
+++ b/poetryenvs/torch_max/poetry.lock
@@ -16,7 +16,7 @@ python-versions = "*"
 
 [[package]]
 name = "astroid"
-version = "2.12.10"
+version = "2.12.11"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
@@ -349,7 +349,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -448,14 +448,14 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pylint"
-version = "2.15.3"
+version = "2.15.4"
 description = "python code static checker"
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 
 [package.dependencies]
-astroid = ">=2.12.10,<=2.14.0-dev0"
+astroid = ">=2.12.11,<=2.14.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = ">=0.2"
 isort = ">=4.2.5,<6"
@@ -472,7 +472,7 @@ testutils = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -805,7 +805,7 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [metadata]
 lock-version = "1.1"
 python-versions = "3.10.*"
-content-hash = "be3f2a381a69591c4ae8f73cb44b0251d3d96aa2855aada90476f5b54d99f394"
+content-hash = "08655193d9ea1eba23cf1e1f51895ec293c9e4bc89eabf7438789e627a66ec25"
 
 [metadata.files]
 alabaster = [
@@ -817,8 +817,8 @@ appdirs = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 astroid = [
-    {file = "astroid-2.12.10-py3-none-any.whl", hash = "sha256:997e0c735df60d4a4caff27080a3afc51f9bdd693d3572a4a0b7090b645c36c5"},
-    {file = "astroid-2.12.10.tar.gz", hash = "sha256:81f870105d892e73bf535da77a8261aa5bde838fa4ed12bb2f435291a098c581"},
+    {file = "astroid-2.12.11-py3-none-any.whl", hash = "sha256:867a756bbf35b7bc07b35bfa6522acd01f91ad9919df675e8428072869792dce"},
+    {file = "astroid-2.12.11.tar.gz", hash = "sha256:2df4f9980c4511474687895cbfdb8558293c1a826d9118bb09233d7c2bff1c83"},
 ]
 atomicwrites = [
     {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
@@ -1372,8 +1372,8 @@ pygments = [
     {file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
 ]
 pylint = [
-    {file = "pylint-2.15.3-py3-none-any.whl", hash = "sha256:7f6aad1d8d50807f7bc64f89ac75256a9baf8e6ed491cc9bc65592bc3f462cf1"},
-    {file = "pylint-2.15.3.tar.gz", hash = "sha256:5fdfd44af182866999e6123139d265334267339f29961f00c89783155eacc60b"},
+    {file = "pylint-2.15.4-py3-none-any.whl", hash = "sha256:629cf1dbdfb6609d7e7a45815a8bb59300e34aa35783b5ac563acaca2c4022e9"},
+    {file = "pylint-2.15.4.tar.gz", hash = "sha256:5441e9294335d354b7bad57c1044e5bd7cce25c433475d76b440e53452fa5cb8"},
 ]
 pyparsing = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
diff --git a/poetryenvs/torch_min/poetry.lock b/poetryenvs/torch_min/poetry.lock
index 7f752882..bb583802 100644
--- a/poetryenvs/torch_min/poetry.lock
+++ b/poetryenvs/torch_min/poetry.lock
@@ -354,7 +354,7 @@ python-versions = ">=3.7,<3.11"
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
 
@@ -479,7 +479,7 @@ testutil = ["gitpython (>3)"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -822,7 +822,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = "3.7.*"
-content-hash = "16271e7586718b125e3687e707c276916afaa1a18e669561b8c38a91d009a787"
+content-hash = "b5cd6d6ff6015aca05136e0e4ce75599d13db2764046cd5fee2fb36f2abb11d5"
 
 [metadata.files]
 alabaster = [
diff --git a/pyproject.toml b/pyproject.toml
index 59a59f31..44a564ab 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,7 +33,6 @@ classifiers = [
 [tool.poetry.dependencies]
 lark = "^1.1.0"
 python = ">=3.7,<3.11"
-packaging = ">=18.0.0"
 
 [tool.poetry.dev-dependencies]
 Sphinx = "^5.2.2"

From 138028b7c15d9267def828d0934996156aaa9fb7 Mon Sep 17 00:00:00 2001
From: Jesper Nielsen <44195043+jesnie@users.noreply.github.com>
Date: Thu, 13 Oct 2022 09:15:38 +0100
Subject: [PATCH 10/10] Prepare for release 0.2.0 (#28)

---
 RELEASE.md               | 26 +++++++++++++++++++++++++-
 check_shapes/__init__.py |  2 +-
 pyproject.toml           |  2 +-
 3 files changed, 27 insertions(+), 3 deletions(-)

diff --git a/RELEASE.md b/RELEASE.md
index b73aae6e..e11d6068 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -33,7 +33,7 @@ This release contains contributions from:
 <INSERT>, <NAME>, <HERE>, <USING>, <GITHUB>, <HANDLE>
 
 
-# Release 0.2.0 (next upcoming release in progress)
+# Release 0.3.0 (next upcoming release in progress)
 
 <INSERT SMALL BLURB ABOUT RELEASE FOCUS AREA AND POTENTIAL TOOLCHAIN CHANGES>
 
@@ -50,16 +50,40 @@ This release contains contributions from:
 
 ## Major Features and Improvements
 
+* <INSERT MAJOR FEATURE HERE, USING MARKDOWN SYNTAX>
+* <IF RELEASE CONTAINS MULTIPLE FEATURES FROM SAME AREA, GROUP THEM TOGETHER>
+
+## Bug Fixes and Other Changes
+
+* <SIMILAR TO ABOVE SECTION, BUT FOR OTHER IMPORTANT CHANGES / BUG FIXES>
+* <IF A CHANGE CLOSES A GITHUB ISSUE, IT SHOULD BE DOCUMENTED HERE>
+* <NOTES SHOULD BE GROUPED PER AREA>
+
+## Thanks to our Contributors
+
+This release contains contributions from:
+
+<INSERT>, <NAME>, <HERE>, <USING>, <GITHUB>, <HANDLE>
+
+
+# Release 0.2.0
+
+This release makes `check_shapes` independent of the underlying framework.
+
+## Major Features and Improvements
+
 * Made `check_shapes` independent of tensor framework:
   - Made NumPy optional.
   - Made TensorFlow optional.
   - Made TensorFlow-Probability optional.
   - Added support for JAX.
   - Added support for PyTorch.
+* Added benchmarks and documentation of overhead imposed by `check_shapes`.
 
 ## Bug Fixes and Other Changes
 
 * Fixed bug related to `tf.saved_model` and methods wrapped in `@check_shapes`.
+* Added support for TensorFlow-Probability `_TensorCoercible` objects.
 
 ## Thanks to our Contributors
 
diff --git a/check_shapes/__init__.py b/check_shapes/__init__.py
index 3f32c5c8..5cf02039 100644
--- a/check_shapes/__init__.py
+++ b/check_shapes/__init__.py
@@ -41,7 +41,7 @@
 install_tfp_integration()
 install_torch_integration()
 
-__version__ = "0.1.0"
+__version__ = "0.2.0"
 
 __all__ = [
     "Dimension",
diff --git a/pyproject.toml b/pyproject.toml
index 44a564ab..a0ac3213 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "check_shapes"
-version = "0.1.0"
+version = "0.2.0"
 description = "A library for annotating and checking the shapes of tensors."
 authors = [
     "Jesper Nielsen <jespernielsen1982+check_shapes@gmail.com>",