diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 0000000..ca5b1ff --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1,81 @@ +########################################################################################## +# +# DESCRIPTION: Development Docker Container. Installs the following: +# * miniconda +# * Oh-My-Zsh +# * awesome-vim +# +# GPU SUPPORT: In order to get GPU support the nvidia image's CUDA version must +# match the version on the host computer. +# +# RENDERING: If rendering to the screen is required then execute the following +# prior to starting the container: +# +# ```console +# xhost +local:root +# ``` +# +# AUTHOR: W. Li +# VERSION: 1.0 +# CREATED: 12/15/2023 +########################################################################################## + +# Source Image (this should match the CUDA version on the host) +# FROM nvidia/cuda:11.4.1-base-ubuntu20.04 +FROM ubuntu:20.04 + +# Labels +LABEL version="1.0" +LABEL description="Miniconda Dev Image" + +# Expose ports here +# EXPOSE 8080 + +# Install basic packages needed for development +RUN yes Y | apt update +RUN yes Y | apt-get update +RUN yes Y | apt upgrade +RUN yes Y | apt install vim +RUN apt-get install -y --no-install-recommends \ + git \ + wget \ + g++ \ + gcc \ + && rm -rf /var/lib/apt/lists/* + +# Setup shell +RUN sh -c "$(wget -O- https://github.com/deluan/zsh-in-docker/releases/download/v1.1.1/zsh-in-docker.sh)" -- \ + -t robbyrussell \ + -p git -p ssh-agent -p 'history-substring-search' \ + -a 'bindkey "\$terminfo[kcuu1]" history-substring-search-up' \ + -a 'bindkey "\$terminfo[kcud1]" history-substring-search-down' + +# Setup Shell +SHELL ["/bin/zsh", "-c"] + +# Miniconda requires that the path point to its python binary +ENV PATH="/root/miniconda3/bin:${PATH}" +ARG PATH="/root/miniconda3/bin:${PATH}" + +# Source python versions: https://repo.anaconda.com/miniconda/ +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh + +RUN conda init zsh + +# Setup Vim-Awesome +RUN git clone --depth=1 https://github.com/amix/vimrc.git ~/.vim_runtime \ + && sh ~/.vim_runtime/install_basic_vimrc.sh + +# Setup working directory +WORKDIR /projects + +# Copy folder/files into container (must be within context directory) +# Process: local files -> artifact dir -> container dir +# COPY + +# Environment +ENV SHELL /bin/zsh diff --git a/.devcontainer/README.md b/.devcontainer/README.md new file mode 100644 index 0000000..a39fa20 --- /dev/null +++ b/.devcontainer/README.md @@ -0,0 +1,60 @@ +# πŸ“’ Description +## 🐳 Docker +* Primary method for building and maintaining **un-secure** containers. +* Must have root access in order to work. +* Deployable to any machine. +* [Additional Information](#🐳-docker-notes) + +## πŸ¦‰ Apptainer +* Primary method for building and maintaining **secure** containers. +* Used primarily in settings where root access is not possible. +* Deployable to any machine. +* [Additional Information](#πŸ¦‰-apptainer-notes) + +## πŸ“¦ Packages +The default development containers will these packages by default. Only the essentials are included. + +* [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/) +* [Oh My Bash](https://github.com/ohmybash/oh-my-bash) +* [Oh My Zsh](https://ohmyz.sh) +* [Precommit](https://pre-commit.com) + +# 🐳 Docker Notes + +## 🎼 Docker Compose +* Allows you to create multiple different builds using different Docker files. +* The context directory can be set from the `docker_compose.yml` file. +* More options than a standard Docker file. + +## πŸ‘Ÿ Running Commands +* In Docker each `RUN` command is treated as a new shell instance. This means that commands cannot persist across different RUN commands. + +```Docker +RUN command1 # this command is run in its own shell! +RUN command2 # this command is run in its own shell! +``` + +## πŸ—ƒοΈ Copying Folders/Files +* If you need to copy files or directories into the Docker container, first put them in an **artifacts** directory that can be seen from the context directory. + +```Docker +COPY +``` +## πŸ“‚ Context Directory + +* By default Dockerfiles are only aware of what is in their **context directory**. A context directory is the directory where a Dockerfile is located in. It cannot access any files outside of the context directory. + +* The context directory can be set from the command line or from a `docker_compose.yml` file. + +* It is recommended that all folders/files be copied be placed in an **artifacts** directory that is under the context directory. + +## πŸ’Ύ Out of Memory +* Occasionally you will need to clean your docker images and docker volumes in order to recover memory. + +```console +docker volume prune +docker image prune +docker container prune +``` + +# πŸ¦‰ Apptainer Notes diff --git a/.devcontainer/build.py b/.devcontainer/build.py new file mode 100644 index 0000000..3f5f81a --- /dev/null +++ b/.devcontainer/build.py @@ -0,0 +1,9 @@ +""" +Run this script to build the Docker development image. +""" +import subprocess + +image_name = "development-base" + +# Build the image from the development Dockerfile +subprocess.run(["docker", "build", "-t", image_name, "."]) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..5d4c72d --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,44 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at: +// https://github.com/microsoft/vscode-dev-containers/tree/v0.191.0/containers/ubuntu +{ + "name": "dev-python", + "image": "development-base", + "build": { + "dockerfile": "Dockerfile", + }, + // Add arguments that run with the container + // These are arguments needed for GPU support on a Linux machine + "runArgs": [ + // "--net=host", + // "-m=10g", + // "--shm-size=10g", + // "--gpus=all", + // "-v", + // "/tmp/.X11-unix:/tmp/.X11-unix", + // "-e", + // "DISPLAY", + // "--device", + // "/dev/dri" + ], + "customizations": { + "vscode": { + // Set *default* container specific settings.json values on container create. + "settings": {}, + // Add the IDs of extensions you want installed when the container is created. + "extensions": [ + "eamodio.gitlens", + "littlefoxteam.vscode-python-test-adapter", + "ms-python.python", + "mhutchie.git-graph", + "njpwerner.autodocstring", + "pkief.material-icon-theme", + ] + } + }, + // Use 'forwardPorts' to make a list of ports inside the container available locally. + "forwardPorts": [], + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "uname -a" + // Comment out connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root. + // "remoteUser": "vscode" +} diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml new file mode 100644 index 0000000..a660c81 --- /dev/null +++ b/.github/workflows/pre-commit.yml @@ -0,0 +1,25 @@ +########################################################################################## +# DESCRIPTION: Run pre-commit on all files in repo. +# AUTHOR: W. Li +# VERSION: 1.0 +# CREATED: 1/6/2024 +# +# References: +# * https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-pythonCommon +# +########################################################################################## + +name: pre-commit + +on: + pull_request: + push: + branches: [main] + +jobs: + pre-commit: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + - uses: pre-commit/action@v3.0.0 diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml new file mode 100644 index 0000000..2171df9 --- /dev/null +++ b/.github/workflows/pytest.yml @@ -0,0 +1,65 @@ +########################################################################################## +# DESCRIPTION: Runs pytests with multiple versions of python. +# AUTHOR: W. Li +# VERSION: 1.0 +# CREATED: 1/6/2024 +# +# References: +# * https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-pythonCommon +# +########################################################################################## + +name: pytests + +on: + # Configure the branches you want Github actions to run on. + # Leave blank if you want to run on all branches. + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + +# Configure jobs +jobs: + test: + # Set the OS and python versions + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ["3.10", "3.11"] + # Checkout the repo + steps: + - uses: actions/checkout@v4 + # Setup the python environments to use. + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + # Install poetry and disable virtual environments. + - name: Install Poetry + uses: snok/install-poetry@v1 + with: + virtualenvs-create: false + virtualenvs-in-project: false + installer-parallel: true + # Install dependencies. + - name: Install dependencies + run: | + poetry install --no-interaction --with=dev --no-root + # Run pytest with coverage. + - name: Test with pytest + run: > + pytest + --doctest-modules + --cov=./ + --cov-report=xml + --cov-report=html:pytest-results-${{ matrix.python-version }} + # Save artifacts from pytests. + - name: Upload pytest test results + uses: actions/upload-artifact@v3 + with: + name: pytest-results-${{ matrix.python-version }} + path: pytest-results-${{ matrix.python-version }} + # Use always() to always run this step to publish test results when there are test failures + if: ${{ always() }} diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..87f8aaa --- /dev/null +++ b/.gitignore @@ -0,0 +1,17 @@ +# Files to ignore +*.pyc +*.sif +.coverage +.DS_Store +profile.html +profile.json + + +# Folders to ignore +__pycache__ +.mypy_cache +.nox +.pytest_cache +html +save +runs diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100755 index 0000000..5e9e9e5 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,57 @@ +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.5.0 + hooks: + - id: check-ast + - id: check-byte-order-marker + - id: check-builtin-literals + - id: check-case-conflict + - id: check-docstring-first + - id: check-merge-conflict + - id: check-symlinks + - id: check-toml + - id: check-xml + - id: check-yaml + - id: debug-statements + - id: detect-private-key + - id: end-of-file-fixer + - id: name-tests-test + - id: requirements-txt-fixer + - id: sort-simple-yaml + - id: trailing-whitespace +- repo: https://github.com/pre-commit/pygrep-hooks + rev: v1.10.0 # Use the ref you want to point at + hooks: + - id: python-check-blanket-noqa + - id: python-check-mock-methods + - id: python-no-eval + - id: python-no-log-warn + - id: python-use-type-annotations + - id: text-unicode-replacement-char +- repo: https://github.com/asottile/pyupgrade + rev: v3.15.0 + hooks: + - id: pyupgrade +- repo: https://github.com/psf/black + rev: 23.12.1 # Replace by any tag/version: https://github.com/psf/black/tags + hooks: + - id: black + language_version: python3 # Should be a command that runs python3.6+ + args: ["--target-version", "py310"] +- repo: https://github.com/asottile/reorder_python_imports + rev: v3.12.0 + hooks: + - id: reorder-python-imports + args: [--py3-plus] +- repo: https://github.com/asottile/setup-cfg-fmt + rev: v2.5.0 + hooks: + - id: setup-cfg-fmt +- repo: https://github.com/pre-commit/mirrors-mypy + rev: 'v1.8.0' # Use the sha / tag you want to point at + hooks: + - id: mypy +- repo: https://gitlab.com/smop/pre-commit-hooks + rev: 'v1.0.0' + hooks: + - id: check-gitlab-ci diff --git a/.vscode/.env b/.vscode/.env new file mode 100644 index 0000000..e69de29 diff --git a/.vscode/configs/.git-blame-ignore-revs b/.vscode/configs/.git-blame-ignore-revs new file mode 100755 index 0000000..0147f5f --- /dev/null +++ b/.vscode/configs/.git-blame-ignore-revs @@ -0,0 +1 @@ +# Commits to ignore (enter revision numbers here) diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..01cab72 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,22 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Python: Current File", + "type": "python", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal", + "cwd": "${workspaceFolder}", + "env": { + "PYTHONPATH": "${workspaceFolder}:${env:PYTHONPATH}" + } + }, + { + "name": "Debug Unit Test", + "type": "python", + "request": "test", + "justMyCode": false, + } + ] +} diff --git a/.vscode/ltex.dictionary.en-US.txt b/.vscode/ltex.dictionary.en-US.txt new file mode 100644 index 0000000..cc95664 --- /dev/null +++ b/.vscode/ltex.dictionary.en-US.txt @@ -0,0 +1,4 @@ +Mujoco +SLURM +Syndeo +Apptainer diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..229f30d --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,107 @@ +{ + "___________________________Info___________________________": "", + "comments.Description": "VsCode Python", + "comments.Date": "Dec-02-2023", + "___________________________Formatter___________________________": "", + "[python]": { + "editor.defaultFormatter": "ms-python.black-formatter", + "editor.formatOnSave": true + }, + "___________________________DocString___________________________": "", + "autoDocstring.docstringFormat": "google", + "autoDocstring.generateDocstringOnEnter": true, + "autoDocstring.guessTypes": true, + "autoDocstring.includeExtendedSummary": false, + "___________________________Fonts___________________________": "", + "debug.console.fontSize": 11.5, + "terminal.integrated.fontFamily": "Menlo, Monaco, 'Courier New', monospace, 'MesloLGS NF'", + "editor.fontSize": 11.5, + "editor.formatOnSave": true, + "terminal.integrated.fontSize": 11.5, + "markdown.preview.fontSize": 14.5, + "___________________________Workspace___________________________": "", + "workbench.editor.showTabs": "single", + "___________________________Rulers___________________________": "", + "editor.rulers": [ + 90 + ], + "editor.wordWrap": "wordWrapColumn", + "editor.wordWrapColumn": 90, + "___________________________Configs___________________________": "", + "python.envFile": "${workspaceFolder}/.vscode/.env", + "terminal.integrated.env.osx": { + "PYTHONPATH": "${workspaceFolder}" + }, + "___________________________Plugins___________________________": "", + "python.analysis.typeCheckingMode": "basic", + "python.languageServer": "Pylance", + "___________________________Linting___________________________": "", + "___________________________Testing___________________________": "", + "python.testing.pytestEnabled": true, + "python.testing.pytestArgs": [ + "." + ], + "python.testing.unittestEnabled": false, + "___________________________Themes___________________________": "", + "workbench.colorTheme": "Visual Studio Light", + "workbench.colorCustomizations": {}, + "editor.tokenColorCustomizations": { + // "functions": { + // "fontStyle": "italic bold", + // }, + "textMateRules": [ + { // class def + "scope": "storage.type.class.python", + "settings": { + "fontStyle": "bold" + } + }, + { // class name + "scope": "entity.name.type.class.python", + "settings": { + "fontStyle": "bold" + } + }, + { // class self ref + "scope": "variable.parameter.function.language.special.self.python", + "settings": { + "fontStyle": "italic" + } + }, + { // function def + "scope": "storage.type.function.python", + "settings": { + "fontStyle": "bold" + } + }, + { // function name + "scope": "entity.name.function.python", + "settings": { + "fontStyle": "bold" + } + }, + { // class init + "scope": "support.function.magic.python", + "settings": { + "fontStyle": "bold" + } + }, + { // decorator + "scope": "entity.name.function.decorator.python", + "settings": { + "fontStyle": "italic" + } + }, + { // comments + "scope": "comment.line.number-sign.python", + "settings": { + // "foreground": "#0000008d", + } + }, + ] + }, + "___________________________Misc___________________________": "", + "files.exclude": { + "**/.DS_Store": true, + }, +} diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..d8cf7d4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,280 @@ + GNU GENERAL PUBLIC LICENSE + Version 2, June 1991 + + Copyright (C) 1989, 1991 Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The licenses for most software are designed to take away your +freedom to share and change it. By contrast, the GNU General Public +License is intended to guarantee your freedom to share and change free +software--to make sure the software is free for all its users. This +General Public License applies to most of the Free Software +Foundation's software and to any other program whose authors commit to +using it. (Some other Free Software Foundation software is covered by +the GNU Lesser General Public License instead.) You can apply it to +your programs, too. + + When we speak of free software, we are referring to freedom, not +price. Our General Public Licenses are designed to make sure that you +have the freedom to distribute copies of free software (and charge for +this service if you wish), that you receive source code or can get it +if you want it, that you can change the software or use pieces of it +in new free programs; and that you know you can do these things. + + To protect your rights, we need to make restrictions that forbid +anyone to deny you these rights or to ask you to surrender the rights. +These restrictions translate to certain responsibilities for you if you +distribute copies of the software, or if you modify it. + + For example, if you distribute copies of such a program, whether +gratis or for a fee, you must give the recipients all the rights that +you have. You must make sure that they, too, receive or can get the +source code. And you must show them these terms so they know their +rights. + + We protect your rights with two steps: (1) copyright the software, and +(2) offer you this license which gives you legal permission to copy, +distribute and/or modify the software. + + Also, for each author's protection and ours, we want to make certain +that everyone understands that there is no warranty for this free +software. If the software is modified by someone else and passed on, we +want its recipients to know that what they have is not the original, so +that any problems introduced by others will not reflect on the original +authors' reputations. + + Finally, any free program is threatened constantly by software +patents. We wish to avoid the danger that redistributors of a free +program will individually obtain patent licenses, in effect making the +program proprietary. To prevent this, we have made it clear that any +patent must be licensed for everyone's free use or not licensed at all. + + The precise terms and conditions for copying, distribution and +modification follow. + + GNU GENERAL PUBLIC LICENSE + TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION + + 0. This License applies to any program or other work which contains +a notice placed by the copyright holder saying it may be distributed +under the terms of this General Public License. The "Program", below, +refers to any such program or work, and a "work based on the Program" +means either the Program or any derivative work under copyright law: +that is to say, a work containing the Program or a portion of it, +either verbatim or with modifications and/or translated into another +language. (Hereinafter, translation is included without limitation in +the term "modification".) Each licensee is addressed as "you". + +Activities other than copying, distribution and modification are not +covered by this License; they are outside its scope. The act of +running the Program is not restricted, and the output from the Program +is covered only if its contents constitute a work based on the +Program (independent of having been made by running the Program). +Whether that is true depends on what the Program does. + + 1. You may copy and distribute verbatim copies of the Program's +source code as you receive it, in any medium, provided that you +conspicuously and appropriately publish on each copy an appropriate +copyright notice and disclaimer of warranty; keep intact all the +notices that refer to this License and to the absence of any warranty; +and give any other recipients of the Program a copy of this License +along with the Program. + +You may charge a fee for the physical act of transferring a copy, and +you may at your option offer warranty protection in exchange for a fee. + + 2. You may modify your copy or copies of the Program or any portion +of it, thus forming a work based on the Program, and copy and +distribute such modifications or work under the terms of Section 1 +above, provided that you also meet all of these conditions: + + a) You must cause the modified files to carry prominent notices + stating that you changed the files and the date of any change. + + b) You must cause any work that you distribute or publish, that in + whole or in part contains or is derived from the Program or any + part thereof, to be licensed as a whole at no charge to all third + parties under the terms of this License. + + c) If the modified program normally reads commands interactively + when run, you must cause it, when started running for such + interactive use in the most ordinary way, to print or display an + announcement including an appropriate copyright notice and a + notice that there is no warranty (or else, saying that you provide + a warranty) and that users may redistribute the program under + these conditions, and telling the user how to view a copy of this + License. (Exception: if the Program itself is interactive but + does not normally print such an announcement, your work based on + the Program is not required to print an announcement.) + +These requirements apply to the modified work as a whole. If +identifiable sections of that work are not derived from the Program, +and can be reasonably considered independent and separate works in +themselves, then this License, and its terms, do not apply to those +sections when you distribute them as separate works. But when you +distribute the same sections as part of a whole which is a work based +on the Program, the distribution of the whole must be on the terms of +this License, whose permissions for other licensees extend to the +entire whole, and thus to each and every part regardless of who wrote it. + +Thus, it is not the intent of this section to claim rights or contest +your rights to work written entirely by you; rather, the intent is to +exercise the right to control the distribution of derivative or +collective works based on the Program. + +In addition, mere aggregation of another work not based on the Program +with the Program (or with a work based on the Program) on a volume of +a storage or distribution medium does not bring the other work under +the scope of this License. + + 3. You may copy and distribute the Program (or a work based on it, +under Section 2) in object code or executable form under the terms of +Sections 1 and 2 above provided that you also do one of the following: + + a) Accompany it with the complete corresponding machine-readable + source code, which must be distributed under the terms of Sections + 1 and 2 above on a medium customarily used for software interchange; or, + + b) Accompany it with a written offer, valid for at least three + years, to give any third party, for a charge no more than your + cost of physically performing source distribution, a complete + machine-readable copy of the corresponding source code, to be + distributed under the terms of Sections 1 and 2 above on a medium + customarily used for software interchange; or, + + c) Accompany it with the information you received as to the offer + to distribute corresponding source code. (This alternative is + allowed only for noncommercial distribution and only if you + received the program in object code or executable form with such + an offer, in accord with Subsection b above.) + +The source code for a work means the preferred form of the work for +making modifications to it. For an executable work, complete source +code means all the source code for all modules it contains, plus any +associated interface definition files, plus the scripts used to +control compilation and installation of the executable. However, as a +special exception, the source code distributed need not include +anything that is normally distributed (in either source or binary +form) with the major components (compiler, kernel, and so on) of the +operating system on which the executable runs, unless that component +itself accompanies the executable. + +If distribution of executable or object code is made by offering +access to copy from a designated place, then offering equivalent +access to copy the source code from the same place counts as +distribution of the source code, even though third parties are not +compelled to copy the source along with the object code. + + 4. You may not copy, modify, sublicense, or distribute the Program +except as expressly provided under this License. Any attempt +otherwise to copy, modify, sublicense or distribute the Program is +void, and will automatically terminate your rights under this License. +However, parties who have received copies, or rights, from you under +this License will not have their licenses terminated so long as such +parties remain in full compliance. + + 5. You are not required to accept this License, since you have not +signed it. However, nothing else grants you permission to modify or +distribute the Program or its derivative works. These actions are +prohibited by law if you do not accept this License. Therefore, by +modifying or distributing the Program (or any work based on the +Program), you indicate your acceptance of this License to do so, and +all its terms and conditions for copying, distributing or modifying +the Program or works based on it. + + 6. Each time you redistribute the Program (or any work based on the +Program), the recipient automatically receives a license from the +original licensor to copy, distribute or modify the Program subject to +these terms and conditions. You may not impose any further +restrictions on the recipients' exercise of the rights granted herein. +You are not responsible for enforcing compliance by third parties to +this License. + + 7. If, as a consequence of a court judgment or allegation of patent +infringement or for any other reason (not limited to patent issues), +conditions are imposed on you (whether by court order, agreement or +otherwise) that contradict the conditions of this License, they do not +excuse you from the conditions of this License. If you cannot +distribute so as to satisfy simultaneously your obligations under this +License and any other pertinent obligations, then as a consequence you +may not distribute the Program at all. For example, if a patent +license would not permit royalty-free redistribution of the Program by +all those who receive copies directly or indirectly through you, then +the only way you could satisfy both it and this License would be to +refrain entirely from distribution of the Program. + +If any portion of this section is held invalid or unenforceable under +any particular circumstance, the balance of the section is intended to +apply and the section as a whole is intended to apply in other +circumstances. + +It is not the purpose of this section to induce you to infringe any +patents or other property right claims or to contest validity of any +such claims; this section has the sole purpose of protecting the +integrity of the free software distribution system, which is +implemented by public license practices. Many people have made +generous contributions to the wide range of software distributed +through that system in reliance on consistent application of that +system; it is up to the author/donor to decide if he or she is willing +to distribute software through any other system and a licensee cannot +impose that choice. + +This section is intended to make thoroughly clear what is believed to +be a consequence of the rest of this License. + + 8. If the distribution and/or use of the Program is restricted in +certain countries either by patents or by copyrighted interfaces, the +original copyright holder who places the Program under this License +may add an explicit geographical distribution limitation excluding +those countries, so that distribution is permitted only in or among +countries not thus excluded. In such case, this License incorporates +the limitation as if written in the body of this License. + + 9. The Free Software Foundation may publish revised and/or new versions +of the General Public License from time to time. Such new versions will +be similar in spirit to the present version, but may differ in detail to +address new problems or concerns. + +Each version is given a distinguishing version number. If the Program +specifies a version number of this License which applies to it and "any +later version", you have the option of following the terms and conditions +either of that version or of any later version published by the Free +Software Foundation. If the Program does not specify a version number of +this License, you may choose any version ever published by the Free Software +Foundation. + + 10. If you wish to incorporate parts of the Program into other free +programs whose distribution conditions are different, write to the author +to ask for permission. For software which is copyrighted by the Free +Software Foundation, write to the Free Software Foundation; we sometimes +make exceptions for this. Our decision will be guided by the two goals +of preserving the free status of all derivatives of our free software and +of promoting the sharing and reuse of software generally. + + NO WARRANTY + + 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY +FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN +OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES +PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED +OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF +MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS +TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE +PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, +REPAIR OR CORRECTION. + + 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR +REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, +INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING +OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED +TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY +YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER +PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE +POSSIBILITY OF SUCH DAMAGES. + + END OF TERMS AND CONDITIONS diff --git a/README.md b/README.md new file mode 100644 index 0000000..ebbad51 --- /dev/null +++ b/README.md @@ -0,0 +1,189 @@ +

+ + drawing + +

+ +# πŸ“’ Description +

+ drawing +

+ +

+ + + +

+ +

+ pre-commit + pytest + +

+ +This repo is designed to benchmark neural networks against various classic control and Mujoco environments. A few default networks have been included: Multilayer Perception (MLP), Long Short Term Memory (LSTM), and Neural Circuit Policy (NCP) networks. + +# 🐳 Build Container + +## Definition File +This repo includes an Apptainer definition file located at **containers/rl_benchmarks.def**. You will need to log into a computer with `root` access to build this file. Execute the following: + +```console +sudo su - + +cd containers +singularity build miniconda.sif miniconda.def +singularity build rl_benchmarks.sif rl_benchmarks.def +``` + +From there you can shell into the container to test the code: + +```console +singularity shell --tmp-sandbox --writable --nv rl_benchmarks.sif +``` + + +## Syndeo +The container should be used with [**Syndeo**](https://github.com/mit-ll/Syndeo) to launch parallel jobs on SLURM. A template for launching the parallel job using Syndeo can be found at **containers/syndeo.sh**. Use that as a launching pad to parallelize jobs on SLURM. + + +# πŸ› οΈ Installing (Bare Metal) +```console +conda create -n rl_benchmarks python=3.10 +pip install poetry +poetry install --with=dev +``` + +You will need a custom installation of `Mujoco 2.1.0` found [**here**](https://github.com/openai/mujoco-py?tab=readme-ov-file#install-mujoco). + +Mujoco requires some environmental variables to be set which can be added to your `.bashrc`: + +```bash +export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/domi/.mujoco/mujoco210/bin +export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia +``` + +If you need a specific version of CUDA or CUDNN perform the proper installation from the PyTorch [**documentation**](https://pytorch.org/get-started/previous-versions/). + +# πŸ§ͺ Testing +To evaluate whether you have setup the install properly run all the tests after installation. + + pytest + +This will tell you exactly where the failures are. + +# 🏝️ Environments + + +| **CartPole** | **Pendulum** | **Acrobot** | +| :------------------------------------------------------------: | :---------------------------------------------------------------------------: | :--------------------------------------------------------------------: | +| | | | +| **Ant** | **Half Cheetah** | **Humanoid Standup** | +| | | | +| **Humanoid** | **Inverted Double Pendulum** | **Inverted Pendulum** | +| | | | +| **Pusher** | **Reacher** | **Swimmer** | +| | | | + +Classic Control Environments +* CartPole-v1 +* Pendulum-v1 +* Acrobot-v1 + +Mujoco Environments +* Ant-v4 +* HalfCheetah-v4 +* HumanoidStandup-v4 +* Humanoid-v4 +* InvertedDoublePendulum-v4 +* InvertedPendulum-v4 +* Reacher-v4 +* Swimmer-v4 +* Pusher-v4 + +> [!NOTE] +> β€œAll of these environments are **stochastic in terms of their initial state, with a Gaussian noise added** to a fixed initial state in order to add stochasticity.” + +# 🚊 Running Training + +To run the training pipeline first select the type of network you want to evaluate. Three different network types have been provided for you: + + from src.models import CustomTorchModelCfc + from src.models import CustomTorchModelMlp + from src.models import CustomTorchModelLtc + +To register the network you want to test set the following within `main.py`: + + ModelCatalog.register_custom_model("my_torch_model", CustomTorchModelCfc) + +To run the experiment execute: + + python main.py + +Outputs will be saved to the `save/` folder. You can view them in Tensorboard using: + + tensorboard --logdir=./save + + +If you are running on SLURM there is a script provided called `grid_batch.sh`. + sbatch grid_batch.sh + +# ⬛️ Tmux +If using tmux to do training here are some useful commands: + + tmux new -s # create a new session + tmux ls # list all sessions + tmux attach -t # attach to session + +Within the tmux window here are some useful commands: + + control-b d # break from session + control-b [ # enter scrolling mode (q to quit) + + +# πŸ”§ Troubleshooting +>[!CAUTION] +The `gymnasium` package is very much in beta. There are bugs and problems with setting up the Mujoco environments. The current `gymnasium==0.29.1` version doesn't support XML files even though it is documented on the [**website**](https://gymnasium.farama.org/environments/mujoco/swimmer/). For the `Swimmer` environment it states: + + +> v3 and v4 take gymnasium.make kwargs such as **xml_file**, ctrl_cost_weight, reset_noise_scale, etc. + +The `xml_file` argument is not accepted and will throw an error. This means that in order to insert an XML file you need to install it into the `site-packages` of the virtual environment containing `mujoco`. + +This repo has code that will replace the existing XML files for Mujoco, but the user should be aware. The developers are aware of the [**issue**](https://github.com/Farama-Foundation/Gymnasium/pull/746), but they don't plan to fix it until `v1.0.0` release. + + +# πŸ“” Citations +The author acknowledges the MIT Lincoln Laboratory Supercomputing Center for providing (HPC, database, consultation) resources that have contributed to the research results reported within this paper/report. + +@misc{towers_gymnasium_2023, + title = {Gymnasium}, + url = {https://zenodo.org/record/8127025}, + abstract = {An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)}, + urldate = {2023-07-08}, + publisher = {Zenodo}, + author = {Towers, Mark and Terry, Jordan K. and Kwiatkowski, Ariel and Balis, John U. and Cola, Gianluca de and Deleu, Tristan and GoulΓ£o, Manuel and Kallinteris, Andreas and KG, Arjun and Krimmel, Markus and Perez-Vicente, Rodrigo and PierrΓ©, Andrea and Schulhoff, Sander and Tai, Jun Jet and Shen, Andrew Tan Jin and Younis, Omar G.}, + month = mar, + year = {2023}, + doi = {10.5281/zenodo.8127026}, +} + +@inproceedings{reuther2018interactive, +title={Interactive supercomputing on 40,000 cores for machine learning and data analysis}, +author={Reuther, Albert and Kepner, Jeremy and Byun, Chansup and Samsi, Siddharth and Arcand, William and Bestor, David and Bergeron, Bill and Gadepally, Vijay and Houle, Michael and Hubbell, Matthew and Jones, Michael and Klein, Anna and Milechin, Lauren and Mullen, Julia and Prout, Andrew and Rosa, Antonio and Yee, Charles and Michaleas, Peter}, +booktitle={2018 IEEE High Performance extreme Computing Conference (HPEC)}, +pages={1--6}, +year={2018}, +organization={IEEE} +} + +# β™– Distribution +DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited. + +This material is based upon work supported by the Department of the Air Force under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Department of the Air Force. + +Β© 2024 Massachusetts Institute of Technology. + +The software/firmware is provided to you on an As-Is basis + +Delivered to the U.S. Government with Unlimited Rights, as defined in DFARS Part 252.227-7013 or 7014 (Feb 2014). Notwithstanding any copyright notice, U.S. Government rights in this work are defined by DFARS 252.227-7013 or DFARS 252.227-7014 as detailed above. Use of this work other than as specifically authorized by the U.S. Government may violate any copyrights that exist in this work. diff --git a/SPDX.spdx b/SPDX.spdx new file mode 100644 index 0000000..8e8d239 --- /dev/null +++ b/SPDX.spdx @@ -0,0 +1,6 @@ +SPDXVersion: SPDX-2.1 +PackageName: RL_BENCHMARKS +PackageHomePage: https://github.com/mit-ll/rl-benchmarks +PackageOriginator: MIT Lincoln Laboratory +PackageCopyrightText: 2024 Massachusetts Institute of Technology +PackageLicenseDeclared: GPL-2.0 diff --git a/containers/README.md b/containers/README.md new file mode 100644 index 0000000..ecbed4a --- /dev/null +++ b/containers/README.md @@ -0,0 +1,23 @@ +# Description +The blueprints needed to build a container that runs RL Benchmarks is provided here. The containers are guranteed to work on any Linux OS system. + +# Build + +To build the `rl_benchmarks.sif` image you need to execute the following: + +```bash +singularity build core.sif core.def +singularity build miniconda.sif miniconda.def +singularity build mujoco.sif mujoco.def +singularity build rl_benchmarks.sid rl_benchmarks.def +``` + +>[!NOTE] +You can execute `build.sh` which will automatically build the images in the order described above. + +If you have a Ray Cluster up you can pass the Ray address and Ray temporary directory into the **%runscript** of the container: + +```bash +singularity run --tmp-sandbox --writable --nv tests/speed_test.py +singularity run --tmp-sandbox --writable --nv tests/solve_test.py +``` diff --git a/containers/build.sh b/containers/build.sh new file mode 100755 index 0000000..53f49ac --- /dev/null +++ b/containers/build.sh @@ -0,0 +1,4 @@ +singularity build core.sif core.def +singularity build miniconda.sif miniconda.def +singularity build mujoco.sif mujoco.def +singularity build rl_benchmarks.sif rl_benchmarks.def diff --git a/containers/core.def b/containers/core.def new file mode 100644 index 0000000..731a3ee --- /dev/null +++ b/containers/core.def @@ -0,0 +1,80 @@ +bootstrap: docker +From: ubuntu:22.04 +Stage: build + + +%help + Build production container: + $ sudo singularity build .sif .def + + Shell into singularity container: + $ singularity shell --tmp-sandbox --writable .sif + + --tmp-sandbox + Create temporary sandbox to test. + --writable + This option makes the file system accessible as read/write. + + Binding to a volume: + $ singularity shell --bind host_mnt:container_mnt .sif + +%environment + #======================================================================= + # Common Settings + #======================================================================= + # Ref 1: https://unix.stackexchange.com/questions/87745/what-does-lc-all-c-do + # Ref 2: https://unix.stackexchange.com/questions/168340/where-is-ld-library-path-how-do-i-set-the-ld-library-path-env-variable + export HOME="/domi" + export LC_ALL=C + export PATH=/root/.local/bin:/usr/local/bin:/usr/local/sbin:$PATH + export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:$LD_LIBRARY_PATH + export SINGULARITY_SHELL=/bin/bash + + #======================================================================= + # Frontend + #======================================================================= + # Perform installation without requiring interactive user input. + # Ref 1: https://askubuntu.com/questions/972516/debian-frontend-environment-variable + export DEBIAN_FRONTEND=noninterative + +%post + #======================================================================= + # Environment + #======================================================================= + export HOME="/domi" + + #======================================================================= + # Packages/Applications + #======================================================================= + apt-get update + apt-get install -y bashtop curl gcc git g++ make htop netcat neofetch nvtop s-tui tree vim wget zsh + apt-get clean + + #======================================================================= + # Setup directories + #======================================================================= + # /dev needed for writable containers + # /usr/localtime is needed for time sync + mkdir -p /dev + touch /etc/localtime + + #======================================================================= + # Shell Preferences + #======================================================================= + export OSH="${HOME}/.oh-my-bash"; bash -c "$(curl -fsSL https://raw.githubusercontent.com/ohmybash/oh-my-bash/master/tools/install.sh)" + + #======================================================================= + # Vim Preferences + #======================================================================= + git clone --depth=1 https://github.com/amix/vimrc.git ~/.vim_runtime + sh ~/.vim_runtime/install_awesome_vimrc.sh + + #======================================================================= + # Configure Shell + #======================================================================= + echo 'cd $HOME' >> ~/.bashrc + echo 'export PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyring' >> ~/.bashrc + echo 'neofetch' >> ~/.bashrc + +%labels + Version: v1.0.0 diff --git a/containers/miniconda.def b/containers/miniconda.def new file mode 100644 index 0000000..0a9c6b9 --- /dev/null +++ b/containers/miniconda.def @@ -0,0 +1,44 @@ +Bootstrap: localimage +From: core.sif + +%environment + #======================================================================= + # Python + #======================================================================= + # Use local Python instead of global Python packages. + # Ref 1: https://stackoverflow.com/questions/35835274/how-to-reuse-global-site-packages-in-conda-env + export PYTHONNOUSERSITE=True + export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python + export PATH=$PATH:/opt/miniconda3/bin + +%post + #======================================================================= + # Miniconda Install + #======================================================================= + readonly CONDA_INSTALLER="miniconda3.sh" + readonly CONDA_VERSION="Miniconda3-py310_23.11.0-1-Linux-x86_64.sh" + readonly CONDA_PREFIX="/opt/miniconda3" + + wget https://repo.anaconda.com/miniconda/${CONDA_VERSION} -O ${CONDA_INSTALLER} + bash ${CONDA_INSTALLER} -b -p ${CONDA_PREFIX} + rm ${CONDA_INSTALLER} + + # Set Pathing + export CONDA_PYTHON_EXE=${CONDA_PREFIX}/bin/python + export PATH=$PATH:${CONDA_PREFIX}/bin + + #======================================================================= + # File Permissions + #======================================================================= + # Make all files accessible + chmod --recursive 777 /opt + chmod --recursive 777 $HOME + + #======================================================================= + # Configure Shell + #======================================================================= + echo '. /opt/miniconda3/etc/profile.d/conda.sh' >> ~/.bashrc + echo 'conda activate base' >> ~/.bashrc + +%labels + Version: v1.0.0 diff --git a/containers/mujoco.def b/containers/mujoco.def new file mode 100644 index 0000000..67988a9 --- /dev/null +++ b/containers/mujoco.def @@ -0,0 +1,30 @@ +Bootstrap: localimage +From: miniconda.sif + + +%environment + #======================================================================= + # Mujoco Dependencies + #======================================================================= + export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/domi/.mujoco/mujoco210/bin + export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia + +%post + #======================================================================= + # Using Custom Conda Environments + #======================================================================= + cd $HOME + + # Installing custom libraries for mujoco + apt-get update + apt-get install -y libosmesa6-dev libgl1-mesa-glx libglfw3 + + # Installing Mujoco 210 + readonly GITHUB_MUJOCO=https://github.com/deepmind/mujoco/releases/download/2.1.0/mujoco210-linux-x86_64.tar.gz + + wget $GITHUB_MUJOCO -O mujoco210.tar.gz + tar -xzf mujoco210.tar.gz + rm mujoco210.tar.gz + + mkdir -p $HOME/.mujoco + mv mujoco210 $HOME/.mujoco/ diff --git a/containers/rl_benchmarks.def b/containers/rl_benchmarks.def new file mode 100644 index 0000000..777ccaa --- /dev/null +++ b/containers/rl_benchmarks.def @@ -0,0 +1,65 @@ +Bootstrap: localimage +From: mujoco.sif + + +%post + #======================================================================= + # Setup directories + #======================================================================= + # /usr/bin/nvidia-* is needed for nvidia tools + mkdir -p /var/run/nvidia-persistenced + + touch /usr/bin/nvidia-smi + touch /usr/bin/nvidia-debugdump + touch /usr/bin/nvidia-persistenced + touch /usr/bin/nvidia-cuda-mps-control + touch /usr/bin/nvidia-cuda-mps-server + touch /var/run/nvidia-persistenced/socket + + #======================================================================= + # Anaconda + #======================================================================= + # The following variables must be set in order for the def file to use Anaconda + export CONDA_PREFIX="/opt/miniconda3" + export PATH=$PATH:${CONDA_PREFIX}/bin + + #======================================================================= + # Using Custom Conda Environments + #======================================================================= + cd $HOME + + # Clone the repo + git clone https://github.com/mit-ll/RL-Benchmarks.git + + # Install + cd rl_benchmarks + pip install poetry + poetry install --with=dev --no-root + + #======================================================================= + # Create internal structure for Ray + #======================================================================= + mkdir -p $HOME/rl_benchmarks/save/train + mkdir -p $HOME/rl_benchmarks/save/solve + mkdir -p $HOME/rl_benchmarks/save/speed + mkdir -p $HOME/ray_tmp + + #======================================================================= + # Set Permissions + #======================================================================= + chmod --recursive 777 /opt + chmod --recursive 777 $HOME + +%runscript + # When using runscript, the environment variables are not inherited, this means + # that you must manually set them here if you need them. + echo "Arguments received: $*" + + echo "Executing script: $1" + echo "Ray Address: $2" + echo "Ray TmpDir: $3" + + cd $HOME/rl_benchmarks/ + export PYTHONPATH=$HOME/rl_benchmarks/ + + pytest -s $1 --address $2 --tmpdir $3 diff --git a/docs/pics/program_logo.png b/docs/pics/program_logo.png new file mode 100644 index 0000000..03de58a Binary files /dev/null and b/docs/pics/program_logo.png differ diff --git a/main.py b/main.py new file mode 100644 index 0000000..bfd2993 --- /dev/null +++ b/main.py @@ -0,0 +1,239 @@ +import datetime +import logging +import os +import shutil +from dataclasses import dataclass +from typing import Optional +from typing import Type + +import numpy as np +import ray +import torch +import typer +from ray.rllib.algorithms.algorithm import Algorithm +from ray.rllib.algorithms.algorithm_config import AlgorithmConfig +from ray.rllib.algorithms.ppo import PPOConfig +from ray.rllib.models import ModelCatalog +from typing_extensions import Annotated + +from src.environments import EnvFramestack +from src.environments import install_mujoco_xml +from src.models import CustomTorchModelCfc +from src.models import CustomTorchModelLstm +from src.models import CustomTorchModelMlp +from src.utils import custom_log_creator +from src.utils import log_algo_config +from src.utils import ray_stats +from src.utils import save_checkpoint + +# Install Mujoco XML files +install_mujoco_xml() + +# Config +LOGGING = True + +# Write logs +if LOGGING: + log_path = "log" + current_time = str(datetime.datetime.now()).replace(" ", "_") + if not os.path.exists(log_path): + os.makedirs(log_path) + logging.basicConfig( + filename=f"log/{current_time}.log", filemode="w", level=logging.INFO + ) + + +@dataclass +class Config: + network_id: str + custom_network: Type + epochs: int = 1 + train_batch_size: int = 100000 + sgd_minibatch_size: int = 2048 + num_sgd_iter: int = 25 + seq_len: int = 10 + num_envs_per_worker: int = 4 + eval_workers: int = 1 + framework: str = "torch" + save_checkpoints: bool = True + seeds: int = 1 + grad_clip: int = 20 # default is 40, which can cause nans + + +# Configurable parameters +USER_CONFIGS = [ + Config( + network_id="mlp", + custom_network=CustomTorchModelMlp, + epochs=50, + ), + Config( + network_id="cfc", + custom_network=CustomTorchModelCfc, + epochs=50, + ), + Config( + network_id="lstm", + custom_network=CustomTorchModelLstm, + epochs=50, + ), +] + + +def get_env_ids() -> list: + # Environments: https://gymnasium.farama.org/environments/classic_control/ + return [ + # -------------- Classic -------------- + "CartPole-v1", + "Pendulum-v1", + "Acrobot-v1", + # -------------- Mujoco -------------- + "Ant-v4", + "HalfCheetah-v4", + "Hopper-v4", + "HumanoidStandup-v4", + "Humanoid-v4", + "InvertedDoublePendulum-v4", + "InvertedPendulum-v4", + "Reacher-v4", + "Swimmer-v4", + "Pusher-v4", + "Walker2d-v4", + # -------------- Atari -------------- + # "Pong-ramDeterministic-v4", + # "Breakout-ramDeterministic-v4", + ] + + +def get_config(env_id: str, user_config: Config) -> AlgorithmConfig: + # Determine how many CPUs are on Ray Cluster + n_cluster_cpus = int(ray.cluster_resources().get("CPU", 0)) + + # Create a training configuration + ppo_config = PPOConfig() + + # Configure environment + if user_config.network_id in ["mlp"]: + ppo_config = ppo_config.environment( + env=EnvFramestack, + env_config={ + "env_id": env_id, + "n_frames": user_config.seq_len, + }, + ) + else: + ppo_config = ppo_config.environment(env=env_id) + + ppo_config = ppo_config.resources( + placement_strategy="SPREAD", + ) + ppo_config = ppo_config.training( + grad_clip=user_config.grad_clip, + train_batch_size=user_config.train_batch_size, + sgd_minibatch_size=user_config.sgd_minibatch_size, + num_sgd_iter=user_config.num_sgd_iter, + model={ + "custom_model": user_config.network_id, + "max_seq_len": user_config.seq_len, + }, + ) + ppo_config = ppo_config.rollouts( + num_rollout_workers=int(0.95 * n_cluster_cpus), + num_envs_per_worker=user_config.num_envs_per_worker, + batch_mode="complete_episodes", + ) + ppo_config = ppo_config.framework(user_config.framework) + ppo_config = ppo_config.evaluation( + evaluation_parallel_to_training=False, + evaluation_interval=1, + evaluation_num_workers=user_config.eval_workers, + ) + ppo_config = ppo_config.debugging(log_level="WARN") + + # Try to recreate workers when they fail + ppo_config = ppo_config.fault_tolerance(recreate_failed_workers=True) + + return ppo_config + + +def run_train_eval(env_id: str, algorithm: Algorithm, algo_config, user_config: Config): + # Initialize + checkpoint_dirs = [] + max_reward = -np.inf + + # Train for N iterations + for ii in range(user_config.epochs): + # Use a try catch for failed training attempts + try: + result = algorithm.train() + except Exception as e: + print(f"Training failed on: {env_id}") + print(e) + break + + # Saving checkpoints during training + if user_config.save_checkpoints: + if result["episode_reward_mean"] > max_reward: + max_reward = result["episode_reward_mean"] + checkpoint_dir = save_checkpoint(result, algorithm) + checkpoint_dirs.append(checkpoint_dir) + + # Delete checkpoints that are worse + if len(checkpoint_dirs) > 1: + checkpoint_dirs.pop() + + for delete_dir in checkpoint_dirs: + shutil.rmtree(delete_dir) + + # algo.evaluate() + algorithm.stop() + + +def main( + address: Annotated[Optional[str], typer.Option()] = None, + tmpdir: Annotated[Optional[str], typer.Option()] = None, +): + # ray start + context = ray.init(address=address, _temp_dir=tmpdir) + ray_stats(context) + + print("-" * 90) + print("Python Script".center(90)) + print("-" * 90) + + # Register the environments to use + env_ids = get_env_ids() + + try: + for user_config in USER_CONFIGS: + # Register the model to use + ModelCatalog.register_custom_model( + user_config.network_id, + user_config.custom_network, + ) + + for seeds in range(user_config.seeds): + for env_id in env_ids: + algo_config = get_config(env_id, user_config) + + # Generate a trainer + algo = algo_config.build( + logger_creator=custom_log_creator( + custom_path="save/", + custom_str=f"{user_config.network_id}_{env_id}", + ) + ) + + # Run the training + run_train_eval( + env_id=env_id, + algorithm=algo, + algo_config=algo_config, + user_config=user_config, + ) + finally: + ray.shutdown() + + +if __name__ == "__main__": + typer.run(main) diff --git a/noxfile.py b/noxfile.py new file mode 100644 index 0000000..92584ff --- /dev/null +++ b/noxfile.py @@ -0,0 +1,86 @@ +from dataclasses import dataclass + +import nox + +from src.ci.utils import view_html + + +@dataclass +class config: + pytest_cov_path: str = "save/pytest-cov" + coverage_path: str = "save/coverage" + pdoc_path: str = "save/pdocs" + + +@nox.session +def pytest(session: nox.Session): + """Run PyTests.""" + + session.run("poetry", "install", "--with=dev", "--no-root") + session.run("pytest", "-v") + + +@nox.session +def pytest_cov(session: nox.Session): + """Run PyTests with coverage.""" + + session.run("poetry", "install", "--with=dev", "--no-root") + session.run("pytest", "--cov=./", f"--cov-report=html:{config.pytest_cov_path}") + + +@nox.session +def coverage(session: nox.Session): + """Runs coverage pytests""" + + session.run("poetry", "install", "--with=dev", "--no-root") + session.run("coverage", "run", "-m", "pytest") + session.run("coverage", "html", "-d", config.coverage_path) + session.run("coverage", "report", "-m") + + +@nox.session +def scalene(session: nox.Session): + """Profiles your selected code using scalene.""" + + session.run("poetry", "install", "--with=dev", "--no-root") + session.run("scalene", "-m", "pytest") + + +@nox.session +def pdoc(session: nox.Session): + """Generate pdocs.""" + + session.run("poetry", "install", "--with=dev", "--no-root") + session.run("mkdir", "-p", f"{config.pdoc_path}/docs") + session.run("cp", "-rf", "docs/pics", f"{config.pdoc_path}/docs/") + session.run( + "pdoc", + "-d", + "google", + "--logo", + "https://github.com/mit-ll/RL-Benchmarks/blob/main/docs/pics/program_logo.png?raw=true", + "--logo-link", + "https://github.com/mit-ll/RL-Benchmarks", + "--math", + "--footer-text", + "Author: W. Li", + "--output-directory", + config.pdoc_path, + "src", + ) + + +@nox.session +def show_pytest_cov(session: nox.Session): + """Show pytest coverage in HTML.""" + + pytest_cov(session) + view_html(config.pdoc_path) + + +@nox.session +def show_pdoc(session: nox.Session): + """Show pdoc in HTML.""" + + pdoc(session) + view_html(config.pdoc_path) diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..c29b2b8 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,2906 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + +[[package]] +name = "absl-py" +version = "2.1.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." +optional = false +python-versions = ">=3.7" +files = [ + {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"}, + {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, +] + +[[package]] +name = "aiosignal" +version = "1.3.1" +description = "aiosignal: a list of registered asynchronous callbacks" +optional = false +python-versions = ">=3.7" +files = [ + {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"}, + {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"}, +] + +[package.dependencies] +frozenlist = ">=1.1.0" + +[[package]] +name = "argcomplete" +version = "3.2.3" +description = "Bash tab completion for argparse" +optional = false +python-versions = ">=3.8" +files = [ + {file = "argcomplete-3.2.3-py3-none-any.whl", hash = "sha256:c12355e0494c76a2a7b73e3a59b09024ca0ba1e279fb9ed6c1b82d5b74b6a70c"}, + {file = "argcomplete-3.2.3.tar.gz", hash = "sha256:bf7900329262e481be5a15f56f19736b376df6f82ed27576fa893652c5de6c23"}, +] + +[package.extras] +test = ["coverage", "mypy", "pexpect", "ruff", "wheel"] + +[[package]] +name = "attrs" +version = "23.2.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, + {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, +] + +[package.extras] +cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] +dev = ["attrs[tests]", "pre-commit"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] +tests = ["attrs[tests-no-zope]", "zope-interface"] +tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] +tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] + +[[package]] +name = "black" +version = "24.3.0" +description = "The uncompromising code formatter." +optional = false +python-versions = ">=3.8" +files = [ + {file = "black-24.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7d5e026f8da0322b5662fa7a8e752b3fa2dac1c1cbc213c3d7ff9bdd0ab12395"}, + {file = "black-24.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9f50ea1132e2189d8dff0115ab75b65590a3e97de1e143795adb4ce317934995"}, + {file = "black-24.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e2af80566f43c85f5797365077fb64a393861a3730bd110971ab7a0c94e873e7"}, + {file = "black-24.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:4be5bb28e090456adfc1255e03967fb67ca846a03be7aadf6249096100ee32d0"}, + {file = "black-24.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4f1373a7808a8f135b774039f61d59e4be7eb56b2513d3d2f02a8b9365b8a8a9"}, + {file = "black-24.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:aadf7a02d947936ee418777e0247ea114f78aff0d0959461057cae8a04f20597"}, + {file = "black-24.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c02e4ea2ae09d16314d30912a58ada9a5c4fdfedf9512d23326128ac08ac3d"}, + {file = "black-24.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:bf21b7b230718a5f08bd32d5e4f1db7fc8788345c8aea1d155fc17852b3410f5"}, + {file = "black-24.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:2818cf72dfd5d289e48f37ccfa08b460bf469e67fb7c4abb07edc2e9f16fb63f"}, + {file = "black-24.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4acf672def7eb1725f41f38bf6bf425c8237248bb0804faa3965c036f7672d11"}, + {file = "black-24.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c7ed6668cbbfcd231fa0dc1b137d3e40c04c7f786e626b405c62bcd5db5857e4"}, + {file = "black-24.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:56f52cfbd3dabe2798d76dbdd299faa046a901041faf2cf33288bc4e6dae57b5"}, + {file = "black-24.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:79dcf34b33e38ed1b17434693763301d7ccbd1c5860674a8f871bd15139e7837"}, + {file = "black-24.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e19cb1c6365fd6dc38a6eae2dcb691d7d83935c10215aef8e6c38edee3f77abd"}, + {file = "black-24.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65b76c275e4c1c5ce6e9870911384bff5ca31ab63d19c76811cb1fb162678213"}, + {file = "black-24.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:b5991d523eee14756f3c8d5df5231550ae8993e2286b8014e2fdea7156ed0959"}, + {file = "black-24.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c45f8dff244b3c431b36e3224b6be4a127c6aca780853574c00faf99258041eb"}, + {file = "black-24.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6905238a754ceb7788a73f02b45637d820b2f5478b20fec82ea865e4f5d4d9f7"}, + {file = "black-24.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7de8d330763c66663661a1ffd432274a2f92f07feeddd89ffd085b5744f85e7"}, + {file = "black-24.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:7bb041dca0d784697af4646d3b62ba4a6b028276ae878e53f6b4f74ddd6db99f"}, + {file = "black-24.3.0-py3-none-any.whl", hash = "sha256:41622020d7120e01d377f74249e677039d20e6344ff5851de8a10f11f513bf93"}, + {file = "black-24.3.0.tar.gz", hash = "sha256:a0c9c4a0771afc6919578cec71ce82a3e31e054904e7197deacbc9382671c41f"}, +] + +[package.dependencies] +click = ">=8.0.0" +mypy-extensions = ">=0.4.3" +packaging = ">=22.0" +pathspec = ">=0.9.0" +platformdirs = ">=2" +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} +typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""} + +[package.extras] +colorama = ["colorama (>=0.4.3)"] +d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"] +jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] +uvloop = ["uvloop (>=0.15.2)"] + +[[package]] +name = "cachetools" +version = "5.3.3" +description = "Extensible memoizing collections and decorators" +optional = false +python-versions = ">=3.7" +files = [ + {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"}, + {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"}, +] + +[[package]] +name = "certifi" +version = "2024.2.2" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, + {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, +] + +[[package]] +name = "cfgv" +version = "3.4.0" +description = "Validate configuration and produce human readable error messages." +optional = false +python-versions = ">=3.8" +files = [ + {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, + {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, +] + +[[package]] +name = "charset-normalizer" +version = "3.3.2" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"}, + {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"}, +] + +[[package]] +name = "click" +version = "8.1.7" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.7" +files = [ + {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"}, + {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "cloudpickle" +version = "3.0.0" +description = "Pickler class to extend the standard pickle.Pickler functionality" +optional = false +python-versions = ">=3.8" +files = [ + {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"}, + {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"}, +] + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "colorlog" +version = "6.8.2" +description = "Add colours to the output of Python's logging module." +optional = false +python-versions = ">=3.6" +files = [ + {file = "colorlog-6.8.2-py3-none-any.whl", hash = "sha256:4dcbb62368e2800cb3c5abd348da7e53f6c362dda502ec27c560b2e58a66bd33"}, + {file = "colorlog-6.8.2.tar.gz", hash = "sha256:3e3e079a41feb5a1b64f978b5ea4f46040a94f11f0e8bbb8261e3dbbeca64d44"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} + +[package.extras] +development = ["black", "flake8", "mypy", "pytest", "types-colorama"] + +[[package]] +name = "coverage" +version = "7.4.4" +description = "Code coverage measurement for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "coverage-7.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0be5efd5127542ef31f165de269f77560d6cdef525fffa446de6f7e9186cfb2"}, + {file = "coverage-7.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ccd341521be3d1b3daeb41960ae94a5e87abe2f46f17224ba5d6f2b8398016cf"}, + {file = "coverage-7.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09fa497a8ab37784fbb20ab699c246053ac294d13fc7eb40ec007a5043ec91f8"}, + {file = "coverage-7.4.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b1a93009cb80730c9bca5d6d4665494b725b6e8e157c1cb7f2db5b4b122ea562"}, + {file = "coverage-7.4.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:690db6517f09336559dc0b5f55342df62370a48f5469fabf502db2c6d1cffcd2"}, + {file = "coverage-7.4.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:09c3255458533cb76ef55da8cc49ffab9e33f083739c8bd4f58e79fecfe288f7"}, + {file = "coverage-7.4.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:8ce1415194b4a6bd0cdcc3a1dfbf58b63f910dcb7330fe15bdff542c56949f87"}, + {file = "coverage-7.4.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b91cbc4b195444e7e258ba27ac33769c41b94967919f10037e6355e998af255c"}, + {file = "coverage-7.4.4-cp310-cp310-win32.whl", hash = "sha256:598825b51b81c808cb6f078dcb972f96af96b078faa47af7dfcdf282835baa8d"}, + {file = "coverage-7.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:09ef9199ed6653989ebbcaacc9b62b514bb63ea2f90256e71fea3ed74bd8ff6f"}, + {file = "coverage-7.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f9f50e7ef2a71e2fae92774c99170eb8304e3fdf9c8c3c7ae9bab3e7229c5cf"}, + {file = "coverage-7.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:623512f8ba53c422fcfb2ce68362c97945095b864cda94a92edbaf5994201083"}, + {file = "coverage-7.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0513b9508b93da4e1716744ef6ebc507aff016ba115ffe8ecff744d1322a7b63"}, + {file = "coverage-7.4.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40209e141059b9370a2657c9b15607815359ab3ef9918f0196b6fccce8d3230f"}, + {file = "coverage-7.4.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a2b2b78c78293782fd3767d53e6474582f62443d0504b1554370bde86cc8227"}, + {file = "coverage-7.4.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:73bfb9c09951125d06ee473bed216e2c3742f530fc5acc1383883125de76d9cd"}, + {file = "coverage-7.4.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:1f384c3cc76aeedce208643697fb3e8437604b512255de6d18dae3f27655a384"}, + {file = "coverage-7.4.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:54eb8d1bf7cacfbf2a3186019bcf01d11c666bd495ed18717162f7eb1e9dd00b"}, + {file = "coverage-7.4.4-cp311-cp311-win32.whl", hash = "sha256:cac99918c7bba15302a2d81f0312c08054a3359eaa1929c7e4b26ebe41e9b286"}, + {file = "coverage-7.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:b14706df8b2de49869ae03a5ccbc211f4041750cd4a66f698df89d44f4bd30ec"}, + {file = "coverage-7.4.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:201bef2eea65e0e9c56343115ba3814e896afe6d36ffd37bab783261db430f76"}, + {file = "coverage-7.4.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:41c9c5f3de16b903b610d09650e5e27adbfa7f500302718c9ffd1c12cf9d6818"}, + {file = "coverage-7.4.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d898fe162d26929b5960e4e138651f7427048e72c853607f2b200909794ed978"}, + {file = "coverage-7.4.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3ea79bb50e805cd6ac058dfa3b5c8f6c040cb87fe83de10845857f5535d1db70"}, + {file = "coverage-7.4.4-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce4b94265ca988c3f8e479e741693d143026632672e3ff924f25fab50518dd51"}, + {file = "coverage-7.4.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:00838a35b882694afda09f85e469c96367daa3f3f2b097d846a7216993d37f4c"}, + {file = "coverage-7.4.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:fdfafb32984684eb03c2d83e1e51f64f0906b11e64482df3c5db936ce3839d48"}, + {file = "coverage-7.4.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:69eb372f7e2ece89f14751fbcbe470295d73ed41ecd37ca36ed2eb47512a6ab9"}, + {file = "coverage-7.4.4-cp312-cp312-win32.whl", hash = "sha256:137eb07173141545e07403cca94ab625cc1cc6bc4c1e97b6e3846270e7e1fea0"}, + {file = "coverage-7.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:d71eec7d83298f1af3326ce0ff1d0ea83c7cb98f72b577097f9083b20bdaf05e"}, + {file = "coverage-7.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d5ae728ff3b5401cc320d792866987e7e7e880e6ebd24433b70a33b643bb0384"}, + {file = "coverage-7.4.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cc4f1358cb0c78edef3ed237ef2c86056206bb8d9140e73b6b89fbcfcbdd40e1"}, + {file = "coverage-7.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8130a2aa2acb8788e0b56938786c33c7c98562697bf9f4c7d6e8e5e3a0501e4a"}, + {file = "coverage-7.4.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf271892d13e43bc2b51e6908ec9a6a5094a4df1d8af0bfc360088ee6c684409"}, + {file = "coverage-7.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4cdc86d54b5da0df6d3d3a2f0b710949286094c3a6700c21e9015932b81447e"}, + {file = "coverage-7.4.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ae71e7ddb7a413dd60052e90528f2f65270aad4b509563af6d03d53e979feafd"}, + {file = "coverage-7.4.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:38dd60d7bf242c4ed5b38e094baf6401faa114fc09e9e6632374388a404f98e7"}, + {file = "coverage-7.4.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:aa5b1c1bfc28384f1f53b69a023d789f72b2e0ab1b3787aae16992a7ca21056c"}, + {file = "coverage-7.4.4-cp38-cp38-win32.whl", hash = "sha256:dfa8fe35a0bb90382837b238fff375de15f0dcdb9ae68ff85f7a63649c98527e"}, + {file = "coverage-7.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:b2991665420a803495e0b90a79233c1433d6ed77ef282e8e152a324bbbc5e0c8"}, + {file = "coverage-7.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3b799445b9f7ee8bf299cfaed6f5b226c0037b74886a4e11515e569b36fe310d"}, + {file = "coverage-7.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b4d33f418f46362995f1e9d4f3a35a1b6322cb959c31d88ae56b0298e1c22357"}, + {file = "coverage-7.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aadacf9a2f407a4688d700e4ebab33a7e2e408f2ca04dbf4aef17585389eff3e"}, + {file = "coverage-7.4.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c95949560050d04d46b919301826525597f07b33beba6187d04fa64d47ac82e"}, + {file = "coverage-7.4.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff7687ca3d7028d8a5f0ebae95a6e4827c5616b31a4ee1192bdfde697db110d4"}, + {file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5fc1de20b2d4a061b3df27ab9b7c7111e9a710f10dc2b84d33a4ab25065994ec"}, + {file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c74880fc64d4958159fbd537a091d2a585448a8f8508bf248d72112723974cbd"}, + {file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:742a76a12aa45b44d236815d282b03cfb1de3b4323f3e4ec933acfae08e54ade"}, + {file = "coverage-7.4.4-cp39-cp39-win32.whl", hash = "sha256:d89d7b2974cae412400e88f35d86af72208e1ede1a541954af5d944a8ba46c57"}, + {file = "coverage-7.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:9ca28a302acb19b6af89e90f33ee3e1906961f94b54ea37de6737b7ca9d8827c"}, + {file = "coverage-7.4.4-pp38.pp39.pp310-none-any.whl", hash = "sha256:b2c5edc4ac10a7ef6605a966c58929ec6c1bd0917fb8c15cb3363f65aa40e677"}, + {file = "coverage-7.4.4.tar.gz", hash = "sha256:c901df83d097649e257e803be22592aedfd5182f07b3cc87d640bbb9afd50f49"}, +] + +[package.extras] +toml = ["tomli"] + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +optional = false +python-versions = ">=3.5" +files = [ + {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, + {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, +] + +[[package]] +name = "distlib" +version = "0.3.8" +description = "Distribution utilities" +optional = false +python-versions = "*" +files = [ + {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"}, + {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"}, +] + +[[package]] +name = "dm-tree" +version = "0.1.8" +description = "Tree is a library for working with nested data structures." +optional = false +python-versions = "*" +files = [ + {file = "dm-tree-0.1.8.tar.gz", hash = "sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430"}, + {file = "dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60"}, + {file = "dm_tree-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f"}, + {file = "dm_tree-0.1.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef"}, + {file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436"}, + {file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410"}, + {file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca"}, + {file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144"}, + {file = "dm_tree-0.1.8-cp310-cp310-win_amd64.whl", hash = "sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee"}, + {file = "dm_tree-0.1.8-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7"}, + {file = "dm_tree-0.1.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b"}, + {file = "dm_tree-0.1.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5"}, + {file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de"}, + {file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e"}, + {file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d"}, + {file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393"}, + {file = "dm_tree-0.1.8-cp311-cp311-win_amd64.whl", hash = "sha256:a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80"}, + {file = "dm_tree-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571"}, + {file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d"}, + {file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb"}, + {file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6"}, + {file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1"}, + {file = "dm_tree-0.1.8-cp37-cp37m-win_amd64.whl", hash = "sha256:b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6"}, + {file = "dm_tree-0.1.8-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf"}, + {file = "dm_tree-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a"}, + {file = "dm_tree-0.1.8-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d"}, + {file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c"}, + {file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8"}, + {file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68"}, + {file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134"}, + {file = "dm_tree-0.1.8-cp38-cp38-win_amd64.whl", hash = "sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5"}, + {file = "dm_tree-0.1.8-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f"}, + {file = "dm_tree-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf"}, + {file = "dm_tree-0.1.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7"}, + {file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb"}, + {file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913"}, + {file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426"}, + {file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317"}, + {file = "dm_tree-0.1.8-cp39-cp39-win_amd64.whl", hash = "sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368"}, +] + +[[package]] +name = "exceptiongroup" +version = "1.2.0" +description = "Backport of PEP 654 (exception groups)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, + {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, +] + +[package.extras] +test = ["pytest (>=6)"] + +[[package]] +name = "farama-notifications" +version = "0.0.4" +description = "Notifications for all Farama Foundation maintained libraries." +optional = false +python-versions = "*" +files = [ + {file = "Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18"}, + {file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"}, +] + +[[package]] +name = "filelock" +version = "3.13.1" +description = "A platform independent file lock." +optional = false +python-versions = ">=3.8" +files = [ + {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"}, + {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"}, +] + +[package.extras] +docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] +typing = ["typing-extensions (>=4.8)"] + +[[package]] +name = "frozenlist" +version = "1.4.1" +description = "A list-like structure which implements collections.abc.MutableSequence" +optional = false +python-versions = ">=3.8" +files = [ + {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"}, + {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"}, + {file = "frozenlist-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776"}, + {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a"}, + {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad"}, + {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c"}, + {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe"}, + {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a"}, + {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98"}, + {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75"}, + {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5"}, + {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950"}, + {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc"}, + {file = "frozenlist-1.4.1-cp310-cp310-win32.whl", hash = "sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1"}, + {file = "frozenlist-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439"}, + {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0"}, + {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49"}, + {file = "frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced"}, + {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0"}, + {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106"}, + {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068"}, + {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2"}, + {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19"}, + {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82"}, + {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec"}, + {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a"}, + {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74"}, + {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2"}, + {file = "frozenlist-1.4.1-cp311-cp311-win32.whl", hash = "sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17"}, + {file = "frozenlist-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825"}, + {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae"}, + {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb"}, + {file = "frozenlist-1.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b"}, + {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86"}, + {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480"}, + {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09"}, + {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a"}, + {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd"}, + {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6"}, + {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1"}, + {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b"}, + {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e"}, + {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8"}, + {file = "frozenlist-1.4.1-cp312-cp312-win32.whl", hash = "sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89"}, + {file = "frozenlist-1.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5"}, + {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d"}, + {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826"}, + {file = "frozenlist-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb"}, + {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6"}, + {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d"}, + {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887"}, + {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a"}, + {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b"}, + {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701"}, + {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0"}, + {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11"}, + {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09"}, + {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7"}, + {file = "frozenlist-1.4.1-cp38-cp38-win32.whl", hash = "sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497"}, + {file = "frozenlist-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09"}, + {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e"}, + {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d"}, + {file = "frozenlist-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8"}, + {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0"}, + {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b"}, + {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0"}, + {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897"}, + {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7"}, + {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742"}, + {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea"}, + {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5"}, + {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9"}, + {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6"}, + {file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"}, + {file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"}, + {file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"}, + {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"}, +] + +[[package]] +name = "fsspec" +version = "2024.3.1" +description = "File-system specification" +optional = false +python-versions = ">=3.8" +files = [ + {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"}, + {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"}, +] + +[package.extras] +abfs = ["adlfs"] +adl = ["adlfs"] +arrow = ["pyarrow (>=1)"] +dask = ["dask", "distributed"] +devel = ["pytest", "pytest-cov"] +dropbox = ["dropbox", "dropboxdrivefs", "requests"] +full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] +fuse = ["fusepy"] +gcs = ["gcsfs"] +git = ["pygit2"] +github = ["requests"] +gs = ["gcsfs"] +gui = ["panel"] +hdfs = ["pyarrow (>=1)"] +http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] +libarchive = ["libarchive-c"] +oci = ["ocifs"] +s3 = ["s3fs"] +sftp = ["paramiko"] +smb = ["smbprotocol"] +ssh = ["paramiko"] +tqdm = ["tqdm"] + +[[package]] +name = "future" +version = "1.0.0" +description = "Clean single-source support for Python 3 and 2" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"}, + {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"}, +] + +[[package]] +name = "gast" +version = "0.5.4" +description = "Python AST that abstracts the underlying Python version" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "gast-0.5.4-py3-none-any.whl", hash = "sha256:6fc4fa5fa10b72fb8aab4ae58bcb023058386e67b6fa2e3e34cec5c769360316"}, + {file = "gast-0.5.4.tar.gz", hash = "sha256:9c270fe5f4b130969b54174de7db4e764b09b4f7f67ccfc32480e29f78348d97"}, +] + +[[package]] +name = "glfw" +version = "2.7.0" +description = "A ctypes-based wrapper for GLFW3." +optional = false +python-versions = "*" +files = [ + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-macosx_10_6_intel.whl", hash = "sha256:bd82849edcceda4e262bd1227afaa74b94f9f0731c1197863cd25c15bfc613fc"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-macosx_11_0_arm64.whl", hash = "sha256:56ea163c964bb0bc336def2d6a6a1bd42f9db4b870ef834ac77d7b7ee68b8dfc"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-manylinux2010_i686.whl", hash = "sha256:463aab9e5567c83d8120556b3a845807c60950ed0218fc1283368f46f5ece331"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-manylinux2010_x86_64.whl", hash = "sha256:a6f54188dfc349e5426b0ada84843f6eb35a3811d8dbf57ae49c448e7d683bb4"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-manylinux2014_aarch64.whl", hash = "sha256:e33568b0aba2045a3d7555f22fcf83fafcacc7c2fc4cb995741894ea51e43ab6"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-manylinux2014_x86_64.whl", hash = "sha256:d8630dd9673860c427abde5b79bbc348e02eccde8a3f2a802c5a2a4fb5d79fb8"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-win32.whl", hash = "sha256:ff92d14ac1c7afa9c5deb495c335b485868709880e6e080e99ace7026d74c756"}, + {file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-win_amd64.whl", hash = "sha256:20d4b31a5a6a61fb787b25f8408204e0e248313cc500953071d13d30a2e5cc9d"}, + {file = "glfw-2.7.0.tar.gz", hash = "sha256:0e209ad38fa8c5be67ca590d7b17533d95ad1eb57d0a3f07b98131db69b79000"}, +] + +[package.extras] +preview = ["glfw-preview"] + +[[package]] +name = "google-auth" +version = "2.28.2" +description = "Google Authentication Library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google-auth-2.28.2.tar.gz", hash = "sha256:80b8b4969aa9ed5938c7828308f20f035bc79f9d8fb8120bf9dc8db20b41ba30"}, + {file = "google_auth-2.28.2-py2.py3-none-any.whl", hash = "sha256:9fd67bbcd40f16d9d42f950228e9cf02a2ded4ae49198b27432d0cded5a74c38"}, +] + +[package.dependencies] +cachetools = ">=2.0.0,<6.0" +pyasn1-modules = ">=0.2.1" +rsa = ">=3.1.4,<5" + +[package.extras] +aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"] +enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"] +pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] +reauth = ["pyu2f (>=0.1.5)"] +requests = ["requests (>=2.20.0,<3.0.0.dev0)"] + +[[package]] +name = "google-auth-oauthlib" +version = "1.0.0" +description = "Google Authentication Library" +optional = false +python-versions = ">=3.6" +files = [ + {file = "google-auth-oauthlib-1.0.0.tar.gz", hash = "sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5"}, + {file = "google_auth_oauthlib-1.0.0-py2.py3-none-any.whl", hash = "sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb"}, +] + +[package.dependencies] +google-auth = ">=2.15.0" +requests-oauthlib = ">=0.7.0" + +[package.extras] +tool = ["click (>=6.0.0)"] + +[[package]] +name = "gputil" +version = "1.4.0" +description = "GPUtil is a Python module for getting the GPU status from NVIDA GPUs using nvidia-smi." +optional = false +python-versions = "*" +files = [ + {file = "GPUtil-1.4.0.tar.gz", hash = "sha256:099e52c65e512cdfa8c8763fca67f5a5c2afb63469602d5dcb4d296b3661efb9"}, +] + +[[package]] +name = "grpcio" +version = "1.49.1" +description = "HTTP/2-based RPC framework" +optional = false +python-versions = ">=3.7" +files = [ + {file = "grpcio-1.49.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:fd86040232e805b8e6378b2348c928490ee595b058ce9aaa27ed8e4b0f172b20"}, + {file = "grpcio-1.49.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:6fd0c9cede9552bf00f8c5791d257d5bf3790d7057b26c59df08be5e7a1e021d"}, + {file = "grpcio-1.49.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:d0d402e158d4e84e49c158cb5204119d55e1baf363ee98d6cb5dce321c3a065d"}, + {file = "grpcio-1.49.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:822ceec743d42a627e64ea266059a62d214c5a3cdfcd0d7fe2b7a8e4e82527c7"}, + {file = "grpcio-1.49.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2106d9c16527f0a85e2eea6e6b91a74fc99579c60dd810d8690843ea02bc0f5f"}, + {file = "grpcio-1.49.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:52dd02b7e7868233c571b49bc38ebd347c3bb1ff8907bb0cb74cb5f00c790afc"}, + {file = "grpcio-1.49.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:120fecba2ec5d14b5a15d11063b39783fda8dc8d24addd83196acb6582cabd9b"}, + {file = "grpcio-1.49.1-cp310-cp310-win32.whl", hash = "sha256:f1a3b88e3c53c1a6e6bed635ec1bbb92201bb6a1f2db186179f7f3f244829788"}, + {file = "grpcio-1.49.1-cp310-cp310-win_amd64.whl", hash = "sha256:a7d0017b92d3850abea87c1bdec6ea41104e71c77bca44c3e17f175c6700af62"}, + {file = "grpcio-1.49.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:9fb17ff8c0d56099ac6ebfa84f670c5a62228d6b5c695cf21c02160c2ac1446b"}, + {file = "grpcio-1.49.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:075f2d06e3db6b48a2157a1bcd52d6cbdca980dd18988fe6afdb41795d51625f"}, + {file = "grpcio-1.49.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46d93a1b4572b461a227f1db6b8d35a88952db1c47e5fadcf8b8a2f0e1dd9201"}, + {file = "grpcio-1.49.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc79b2b37d779ac42341ddef40ad5bf0966a64af412c89fc2b062e3ddabb093f"}, + {file = "grpcio-1.49.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:5f8b3a971c7820ea9878f3fd70086240a36aeee15d1b7e9ecbc2743b0e785568"}, + {file = "grpcio-1.49.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:49b301740cf5bc8fed4fee4c877570189ae3951432d79fa8e524b09353659811"}, + {file = "grpcio-1.49.1-cp311-cp311-win32.whl", hash = "sha256:1c66a25afc6c71d357867b341da594a5587db5849b48f4b7d5908d236bb62ede"}, + {file = "grpcio-1.49.1-cp311-cp311-win_amd64.whl", hash = "sha256:6b6c3a95d27846f4145d6967899b3ab25fffc6ae99544415e1adcacef84842d2"}, + {file = "grpcio-1.49.1-cp37-cp37m-linux_armv7l.whl", hash = "sha256:1cc400c8a2173d1c042997d98a9563e12d9bb3fb6ad36b7f355bc77c7663b8af"}, + {file = "grpcio-1.49.1-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:34f736bd4d0deae90015c0e383885b431444fe6b6c591dea288173df20603146"}, + {file = "grpcio-1.49.1-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:196082b9c89ebf0961dcd77cb114bed8171964c8e3063b9da2fb33536a6938ed"}, + {file = "grpcio-1.49.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c9f89c42749890618cd3c2464e1fbf88446e3d2f67f1e334c8e5db2f3272bbd"}, + {file = "grpcio-1.49.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64419cb8a5b612cdb1550c2fd4acbb7d4fb263556cf4625f25522337e461509e"}, + {file = "grpcio-1.49.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:8a5272061826e6164f96e3255405ef6f73b88fd3e8bef464c7d061af8585ac62"}, + {file = "grpcio-1.49.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ea9d0172445241ad7cb49577314e39d0af2c5267395b3561d7ced5d70458a9f3"}, + {file = "grpcio-1.49.1-cp37-cp37m-win32.whl", hash = "sha256:2070e87d95991473244c72d96d13596c751cb35558e11f5df5414981e7ed2492"}, + {file = "grpcio-1.49.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fcedcab49baaa9db4a2d240ac81f2d57eb0052b1c6a9501b46b8ae912720fbf"}, + {file = "grpcio-1.49.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:afbb3475cf7f4f7d380c2ca37ee826e51974f3e2665613996a91d6a58583a534"}, + {file = "grpcio-1.49.1-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:a4f9ba141380abde6c3adc1727f21529137a2552002243fa87c41a07e528245c"}, + {file = "grpcio-1.49.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:cf0a1fb18a7204b9c44623dfbd1465b363236ce70c7a4ed30402f9f60d8b743b"}, + {file = "grpcio-1.49.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:17bb6fe72784b630728c6cff9c9d10ccc3b6d04e85da6e0a7b27fb1d135fac62"}, + {file = "grpcio-1.49.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18305d5a082d1593b005a895c10041f833b16788e88b02bb81061f5ebcc465df"}, + {file = "grpcio-1.49.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:b6a1b39e59ac5a3067794a0e498911cf2e37e4b19ee9e9977dc5e7051714f13f"}, + {file = "grpcio-1.49.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0e20d59aafc086b1cc68400463bddda6e41d3e5ed30851d1e2e0f6a2e7e342d3"}, + {file = "grpcio-1.49.1-cp38-cp38-win32.whl", hash = "sha256:e1e83233d4680863a421f3ee4a7a9b80d33cd27ee9ed7593bc93f6128302d3f2"}, + {file = "grpcio-1.49.1-cp38-cp38-win_amd64.whl", hash = "sha256:221d42c654d2a41fa31323216279c73ed17d92f533bc140a3390cc1bd78bf63c"}, + {file = "grpcio-1.49.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:fa9e6e61391e99708ac87fc3436f6b7b9c6b845dc4639b406e5e61901e1aacde"}, + {file = "grpcio-1.49.1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:9b449e966ef518ce9c860d21f8afe0b0f055220d95bc710301752ac1db96dd6a"}, + {file = "grpcio-1.49.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:aa34d2ad9f24e47fa9a3172801c676e4037d862247e39030165fe83821a7aafd"}, + {file = "grpcio-1.49.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5207f4eed1b775d264fcfe379d8541e1c43b878f2b63c0698f8f5c56c40f3d68"}, + {file = "grpcio-1.49.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b24a74651438d45619ac67004638856f76cc13d78b7478f2457754cbcb1c8ad"}, + {file = "grpcio-1.49.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:fe763781669790dc8b9618e7e677c839c87eae6cf28b655ee1fa69ae04eea03f"}, + {file = "grpcio-1.49.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2f2ff7ba0f8f431f32d4b4bc3a3713426949d3533b08466c4ff1b2b475932ca8"}, + {file = "grpcio-1.49.1-cp39-cp39-win32.whl", hash = "sha256:08ff74aec8ff457a89b97152d36cb811dcc1d17cd5a92a65933524e363327394"}, + {file = "grpcio-1.49.1-cp39-cp39-win_amd64.whl", hash = "sha256:274ffbb39717918c514b35176510ae9be06e1d93121e84d50b350861dcb9a705"}, + {file = "grpcio-1.49.1.tar.gz", hash = "sha256:d4725fc9ec8e8822906ae26bb26f5546891aa7fbc3443de970cc556d43a5c99f"}, +] + +[package.dependencies] +six = ">=1.5.2" + +[package.extras] +protobuf = ["grpcio-tools (>=1.49.1)"] + +[[package]] +name = "grpcio" +version = "1.51.3" +description = "HTTP/2-based RPC framework" +optional = false +python-versions = ">=3.7" +files = [ + {file = "grpcio-1.51.3-cp310-cp310-linux_armv7l.whl", hash = "sha256:f601aaeae18dab81930fb8d4f916b0da21e89bb4b5f7367ef793f46b4a76b7b0"}, + {file = "grpcio-1.51.3-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:eef0450a4b5ed11feab639bf3eb1b6e23d0efa9b911bf7b06fb60e14f5f8a585"}, + {file = "grpcio-1.51.3-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:82b0ad8ac825d4bb31bff9f638557c045f4a6d824d84b21e893968286f88246b"}, + {file = "grpcio-1.51.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3667c06e37d6cd461afdd51cefe6537702f3d1dc5ff4cac07e88d8b4795dc16f"}, + {file = "grpcio-1.51.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3709048fe0aa23dda09b3e69849a12055790171dab9e399a72ea8f9dfbf9ac80"}, + {file = "grpcio-1.51.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:200d69857f9910f7458b39b9bcf83ee4a180591b40146ba9e49314e3a7419313"}, + {file = "grpcio-1.51.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cd9a5e68e79c5f031500e67793048a90209711e0854a9ddee8a3ce51728de4e5"}, + {file = "grpcio-1.51.3-cp310-cp310-win32.whl", hash = "sha256:6604f614016127ae10969176bbf12eb0e03d2fb3d643f050b3b69e160d144fb4"}, + {file = "grpcio-1.51.3-cp310-cp310-win_amd64.whl", hash = "sha256:e95c7ccd4c5807adef1602005513bf7c7d14e5a41daebcf9d8d30d8bf51b8f81"}, + {file = "grpcio-1.51.3-cp311-cp311-linux_armv7l.whl", hash = "sha256:5e77ee138100f0bb55cbd147840f87ee6241dbd25f09ea7cd8afe7efff323449"}, + {file = "grpcio-1.51.3-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:68a7514b754e38e8de9075f7bb4dee919919515ec68628c43a894027e40ddec4"}, + {file = "grpcio-1.51.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c1b9f8afa62ff265d86a4747a2990ec5a96e4efce5d5888f245a682d66eca47"}, + {file = "grpcio-1.51.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8de30f0b417744288cec65ec8cf84b8a57995cf7f1e84ccad2704d93f05d0aae"}, + {file = "grpcio-1.51.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:b69c7adc7ed60da1cb1b502853db61f453fc745f940cbcc25eb97c99965d8f41"}, + {file = "grpcio-1.51.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d81528ffe0e973dc840ec73a4132fd18b8203ad129d7410155d951a0a7e4f5d0"}, + {file = "grpcio-1.51.3-cp311-cp311-win32.whl", hash = "sha256:040eb421613b57c696063abde405916dd830203c184c9000fc8c3b3b3c950325"}, + {file = "grpcio-1.51.3-cp311-cp311-win_amd64.whl", hash = "sha256:2a8e17286c4240137d933b8ca506465472248b4ce0fe46f3404459e708b65b68"}, + {file = "grpcio-1.51.3-cp37-cp37m-linux_armv7l.whl", hash = "sha256:d5cd1389669a847555df54177b911d9ff6f17345b2a6f19388707b7a9f724c88"}, + {file = "grpcio-1.51.3-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:be1bf35ce82cdbcac14e39d5102d8de4079a1c1a6a06b68e41fcd9ef64f9dd28"}, + {file = "grpcio-1.51.3-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:5eed34994c095e2bf7194ffac7381c6068b057ef1e69f8f08db77771350a7566"}, + {file = "grpcio-1.51.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3f9a7d88082b2a17ae7bd3c2354d13bab0453899e0851733f6afa6918373f476"}, + {file = "grpcio-1.51.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36c8abbc5f837111e7bd619612eedc223c290b0903b952ce0c7b00840ea70f14"}, + {file = "grpcio-1.51.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:165b05af77e6aecb4210ae7663e25acf234ba78a7c1c157fa5f2efeb0d6ec53c"}, + {file = "grpcio-1.51.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:54e36c2ee304ff15f2bfbdc43d2b56c63331c52d818c364e5b5214e5bc2ad9f6"}, + {file = "grpcio-1.51.3-cp37-cp37m-win32.whl", hash = "sha256:cd0daac21d9ef5e033a5100c1d3aa055bbed28bfcf070b12d8058045c4e821b1"}, + {file = "grpcio-1.51.3-cp37-cp37m-win_amd64.whl", hash = "sha256:2fdd6333ce96435408565a9dbbd446212cd5d62e4d26f6a3c0feb1e3c35f1cc8"}, + {file = "grpcio-1.51.3-cp38-cp38-linux_armv7l.whl", hash = "sha256:54b0c29bdd9a3b1e1b61443ab152f060fc719f1c083127ab08d03fac5efd51be"}, + {file = "grpcio-1.51.3-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:ffaaf7e93fcb437356b5a4b23bf36e8a3d0221399ff77fd057e4bc77776a24be"}, + {file = "grpcio-1.51.3-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:eafbe7501a3268d05f2e450e1ddaffb950d842a8620c13ec328b501d25d2e2c3"}, + {file = "grpcio-1.51.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:881ecb34feabf31c6b3b9bbbddd1a5b57e69f805041e5a2c6c562a28574f71c4"}, + {file = "grpcio-1.51.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e860a3222139b41d430939bbec2ec9c3f6c740938bf7a04471a9a8caaa965a2e"}, + {file = "grpcio-1.51.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:49ede0528e9dac7e8a9fe30b16c73b630ddd9a576bf4b675eb6b0c53ee5ca00f"}, + {file = "grpcio-1.51.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6972b009638b40a448d10e1bc18e2223143b8a7aa20d7def0d78dd4af4126d12"}, + {file = "grpcio-1.51.3-cp38-cp38-win32.whl", hash = "sha256:5694448256e3cdfe5bd358f1574a3f2f51afa20cc834713c4b9788d60b7cc646"}, + {file = "grpcio-1.51.3-cp38-cp38-win_amd64.whl", hash = "sha256:3ea4341efe603b049e8c9a5f13c696ca37fcdf8a23ca35f650428ad3606381d9"}, + {file = "grpcio-1.51.3-cp39-cp39-linux_armv7l.whl", hash = "sha256:6c677581ce129f5fa228b8f418cee10bd28dd449f3a544ea73c8ba590ee49d0b"}, + {file = "grpcio-1.51.3-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:30e09b5e0531685e176f49679b6a3b190762cc225f4565e55a899f5e14b3aa62"}, + {file = "grpcio-1.51.3-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:c831f31336e81243f85b6daff3e5e8a123302ce0ea1f2726ad752fd7a59f3aee"}, + {file = "grpcio-1.51.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2cd2e4cefb724cab1ba2df4b7535a9980531b9ec51b4dbb5f137a1f3a3754ef0"}, + {file = "grpcio-1.51.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7a0d0bf44438869d307f85a54f25a896ad6b4b0ca12370f76892ad732928d87"}, + {file = "grpcio-1.51.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c02abd55409bfb293371554adf6a4401197ec2133dd97727c01180889014ba4d"}, + {file = "grpcio-1.51.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2f8ff75e61e1227ba7a3f16b2eadbcc11d0a54096d52ab75a6b88cfbe56f55d1"}, + {file = "grpcio-1.51.3-cp39-cp39-win32.whl", hash = "sha256:6c99a73a6260bdf844b2e5ddad02dcd530310f80e1fa72c300fa19c1c7496962"}, + {file = "grpcio-1.51.3-cp39-cp39-win_amd64.whl", hash = "sha256:22bdfac4f7f27acdd4da359b5e7e1973dc74bf1ed406729b07d0759fde2f064b"}, + {file = "grpcio-1.51.3.tar.gz", hash = "sha256:be7b2265b7527bb12109a7727581e274170766d5b3c9258d4e466f4872522d7a"}, +] + +[package.extras] +protobuf = ["grpcio-tools (>=1.51.3)"] + +[[package]] +name = "gymnasium" +version = "0.29.1" +description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)." +optional = false +python-versions = ">=3.8" +files = [ + {file = "gymnasium-0.29.1-py3-none-any.whl", hash = "sha256:61c3384b5575985bb7f85e43213bcb40f36fcdff388cae6bc229304c71f2843e"}, + {file = "gymnasium-0.29.1.tar.gz", hash = "sha256:1a532752efcb7590478b1cc7aa04f608eb7a2fdad5570cd217b66b6a35274bb1"}, +] + +[package.dependencies] +cloudpickle = ">=1.2.0" +farama-notifications = ">=0.0.1" +imageio = {version = ">=2.14.1", optional = true, markers = "extra == \"mujoco\""} +mujoco = {version = ">=2.3.3", optional = true, markers = "extra == \"mujoco\""} +numpy = ">=1.21.0" +pygame = {version = ">=2.1.3", optional = true, markers = "extra == \"classic-control\" or extra == \"classic_control\""} +typing-extensions = ">=4.3.0" + +[package.extras] +accept-rom-license = ["autorom[accept-rom-license] (>=0.4.2,<0.5.0)"] +all = ["box2d-py (==2.3.5)", "cython (<3)", "imageio (>=2.14.1)", "jax (>=0.4.0)", "jaxlib (>=0.4.0)", "lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "mujoco (>=2.3.3)", "mujoco-py (>=2.1,<2.2)", "opencv-python (>=3.0)", "pygame (>=2.1.3)", "shimmy[atari] (>=0.1.0,<1.0)", "swig (==4.*)", "torch (>=1.0.0)"] +atari = ["shimmy[atari] (>=0.1.0,<1.0)"] +box2d = ["box2d-py (==2.3.5)", "pygame (>=2.1.3)", "swig (==4.*)"] +classic-control = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"] +jax = ["jax (>=0.4.0)", "jaxlib (>=0.4.0)"] +mujoco = ["imageio (>=2.14.1)", "mujoco (>=2.3.3)"] +mujoco-py = ["cython (<3)", "cython (<3)", "mujoco-py (>=2.1,<2.2)", "mujoco-py (>=2.1,<2.2)"] +other = ["lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "opencv-python (>=3.0)", "torch (>=1.0.0)"] +testing = ["pytest (==7.1.3)", "scipy (>=1.7.3)"] +toy-text = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"] + +[[package]] +name = "identify" +version = "2.5.35" +description = "File identification library for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"}, + {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"}, +] + +[package.extras] +license = ["ukkonen"] + +[[package]] +name = "idna" +version = "3.6" +description = "Internationalized Domain Names in Applications (IDNA)" +optional = false +python-versions = ">=3.5" +files = [ + {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"}, + {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"}, +] + +[[package]] +name = "imageio" +version = "2.34.0" +description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats." +optional = false +python-versions = ">=3.8" +files = [ + {file = "imageio-2.34.0-py3-none-any.whl", hash = "sha256:08082bf47ccb54843d9c73fe9fc8f3a88c72452ab676b58aca74f36167e8ccba"}, + {file = "imageio-2.34.0.tar.gz", hash = "sha256:ae9732e10acf807a22c389aef193f42215718e16bd06eed0c5bb57e1034a4d53"}, +] + +[package.dependencies] +numpy = "*" +pillow = ">=8.3.2" + +[package.extras] +all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"] +all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"] +build = ["wheel"] +dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"] +docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"] +ffmpeg = ["imageio-ffmpeg", "psutil"] +fits = ["astropy"] +full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"] +gdal = ["gdal"] +itk = ["itk"] +linting = ["black", "flake8"] +pillow-heif = ["pillow-heif"] +pyav = ["av"] +test = ["fsspec[github]", "pytest", "pytest-cov"] +tifffile = ["tifffile"] + +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + +[[package]] +name = "jinja2" +version = "3.1.3" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +files = [ + {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"}, + {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"}, +] + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "jsonschema" +version = "4.21.1" +description = "An implementation of JSON Schema validation for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"}, + {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +jsonschema-specifications = ">=2023.03.6" +referencing = ">=0.28.4" +rpds-py = ">=0.7.1" + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] + +[[package]] +name = "jsonschema-specifications" +version = "2023.12.1" +description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"}, + {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"}, +] + +[package.dependencies] +referencing = ">=0.31.0" + +[[package]] +name = "lazy-loader" +version = "0.3" +description = "lazy_loader" +optional = false +python-versions = ">=3.7" +files = [ + {file = "lazy_loader-0.3-py3-none-any.whl", hash = "sha256:1e9e76ee8631e264c62ce10006718e80b2cfc74340d17d1031e0f84af7478554"}, + {file = "lazy_loader-0.3.tar.gz", hash = "sha256:3b68898e34f5b2a29daaaac172c6555512d0f32074f147e2254e4a6d9d838f37"}, +] + +[package.extras] +lint = ["pre-commit (>=3.3)"] +test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"] + +[[package]] +name = "lz4" +version = "4.3.3" +description = "LZ4 Bindings for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "lz4-4.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b891880c187e96339474af2a3b2bfb11a8e4732ff5034be919aa9029484cd201"}, + {file = "lz4-4.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:222a7e35137d7539c9c33bb53fcbb26510c5748779364014235afc62b0ec797f"}, + {file = "lz4-4.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f76176492ff082657ada0d0f10c794b6da5800249ef1692b35cf49b1e93e8ef7"}, + {file = "lz4-4.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f1d18718f9d78182c6b60f568c9a9cec8a7204d7cb6fad4e511a2ef279e4cb05"}, + {file = "lz4-4.3.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6cdc60e21ec70266947a48839b437d46025076eb4b12c76bd47f8e5eb8a75dcc"}, + {file = "lz4-4.3.3-cp310-cp310-win32.whl", hash = "sha256:c81703b12475da73a5d66618856d04b1307e43428a7e59d98cfe5a5d608a74c6"}, + {file = "lz4-4.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:43cf03059c0f941b772c8aeb42a0813d68d7081c009542301637e5782f8a33e2"}, + {file = "lz4-4.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:30e8c20b8857adef7be045c65f47ab1e2c4fabba86a9fa9a997d7674a31ea6b6"}, + {file = "lz4-4.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2f7b1839f795315e480fb87d9bc60b186a98e3e5d17203c6e757611ef7dcef61"}, + {file = "lz4-4.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edfd858985c23523f4e5a7526ca6ee65ff930207a7ec8a8f57a01eae506aaee7"}, + {file = "lz4-4.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e9c410b11a31dbdc94c05ac3c480cb4b222460faf9231f12538d0074e56c563"}, + {file = "lz4-4.3.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d2507ee9c99dbddd191c86f0e0c8b724c76d26b0602db9ea23232304382e1f21"}, + {file = "lz4-4.3.3-cp311-cp311-win32.whl", hash = "sha256:f180904f33bdd1e92967923a43c22899e303906d19b2cf8bb547db6653ea6e7d"}, + {file = "lz4-4.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:b14d948e6dce389f9a7afc666d60dd1e35fa2138a8ec5306d30cd2e30d36b40c"}, + {file = "lz4-4.3.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e36cd7b9d4d920d3bfc2369840da506fa68258f7bb176b8743189793c055e43d"}, + {file = "lz4-4.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:31ea4be9d0059c00b2572d700bf2c1bc82f241f2c3282034a759c9a4d6ca4dc2"}, + {file = "lz4-4.3.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33c9a6fd20767ccaf70649982f8f3eeb0884035c150c0b818ea660152cf3c809"}, + {file = "lz4-4.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bca8fccc15e3add173da91be8f34121578dc777711ffd98d399be35487c934bf"}, + {file = "lz4-4.3.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7d84b479ddf39fe3ea05387f10b779155fc0990125f4fb35d636114e1c63a2e"}, + {file = "lz4-4.3.3-cp312-cp312-win32.whl", hash = "sha256:337cb94488a1b060ef1685187d6ad4ba8bc61d26d631d7ba909ee984ea736be1"}, + {file = "lz4-4.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:5d35533bf2cee56f38ced91f766cd0038b6abf46f438a80d50c52750088be93f"}, + {file = "lz4-4.3.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:363ab65bf31338eb364062a15f302fc0fab0a49426051429866d71c793c23394"}, + {file = "lz4-4.3.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0a136e44a16fc98b1abc404fbabf7f1fada2bdab6a7e970974fb81cf55b636d0"}, + {file = "lz4-4.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:abc197e4aca8b63f5ae200af03eb95fb4b5055a8f990079b5bdf042f568469dd"}, + {file = "lz4-4.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56f4fe9c6327adb97406f27a66420b22ce02d71a5c365c48d6b656b4aaeb7775"}, + {file = "lz4-4.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f0e822cd7644995d9ba248cb4b67859701748a93e2ab7fc9bc18c599a52e4604"}, + {file = "lz4-4.3.3-cp38-cp38-win32.whl", hash = "sha256:24b3206de56b7a537eda3a8123c644a2b7bf111f0af53bc14bed90ce5562d1aa"}, + {file = "lz4-4.3.3-cp38-cp38-win_amd64.whl", hash = "sha256:b47839b53956e2737229d70714f1d75f33e8ac26e52c267f0197b3189ca6de24"}, + {file = "lz4-4.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6756212507405f270b66b3ff7f564618de0606395c0fe10a7ae2ffcbbe0b1fba"}, + {file = "lz4-4.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ee9ff50557a942d187ec85462bb0960207e7ec5b19b3b48949263993771c6205"}, + {file = "lz4-4.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2b901c7784caac9a1ded4555258207d9e9697e746cc8532129f150ffe1f6ba0d"}, + {file = "lz4-4.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6d9ec061b9eca86e4dcc003d93334b95d53909afd5a32c6e4f222157b50c071"}, + {file = "lz4-4.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f4c7bf687303ca47d69f9f0133274958fd672efaa33fb5bcde467862d6c621f0"}, + {file = "lz4-4.3.3-cp39-cp39-win32.whl", hash = "sha256:054b4631a355606e99a42396f5db4d22046a3397ffc3269a348ec41eaebd69d2"}, + {file = "lz4-4.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:eac9af361e0d98335a02ff12fb56caeb7ea1196cf1a49dbf6f17828a131da807"}, + {file = "lz4-4.3.3.tar.gz", hash = "sha256:01fe674ef2889dbb9899d8a67361e0c4a2c833af5aeb37dd505727cf5d2a131e"}, +] + +[package.extras] +docs = ["sphinx (>=1.6.0)", "sphinx-bootstrap-theme"] +flake8 = ["flake8"] +tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"] + +[[package]] +name = "markdown" +version = "3.6" +description = "Python implementation of John Gruber's Markdown." +optional = false +python-versions = ">=3.8" +files = [ + {file = "Markdown-3.6-py3-none-any.whl", hash = "sha256:48f276f4d8cfb8ce6527c8f79e2ee29708508bf4d40aa410fbc3b4ee832c850f"}, + {file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"}, +] + +[package.extras] +docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"] +testing = ["coverage", "pyyaml"] + +[[package]] +name = "markdown-it-py" +version = "3.0.0" +description = "Python port of markdown-it. Markdown parsing, done right!" +optional = false +python-versions = ">=3.8" +files = [ + {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, + {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, +] + +[package.dependencies] +mdurl = ">=0.1,<1.0" + +[package.extras] +benchmarking = ["psutil", "pytest", "pytest-benchmark"] +code-style = ["pre-commit (>=3.0,<4.0)"] +compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"] +linkify = ["linkify-it-py (>=1,<3)"] +plugins = ["mdit-py-plugins"] +profiling = ["gprof2dot"] +rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] +testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] + +[[package]] +name = "markupsafe" +version = "2.1.5" +description = "Safely add untrusted strings to HTML/XML markup." +optional = false +python-versions = ">=3.7" +files = [ + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"}, + {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, +] + +[[package]] +name = "mdurl" +version = "0.1.2" +description = "Markdown URL utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, + {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, +] + +[[package]] +name = "mpmath" +version = "1.3.0" +description = "Python library for arbitrary-precision floating-point arithmetic" +optional = false +python-versions = "*" +files = [ + {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, + {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, +] + +[package.extras] +develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] +docs = ["sphinx"] +gmpy = ["gmpy2 (>=2.1.0a4)"] +tests = ["pytest (>=4.6)"] + +[[package]] +name = "msgpack" +version = "1.0.8" +description = "MessagePack serializer" +optional = false +python-versions = ">=3.8" +files = [ + {file = "msgpack-1.0.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:505fe3d03856ac7d215dbe005414bc28505d26f0c128906037e66d98c4e95868"}, + {file = "msgpack-1.0.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6b7842518a63a9f17107eb176320960ec095a8ee3b4420b5f688e24bf50c53c"}, + {file = "msgpack-1.0.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:376081f471a2ef24828b83a641a02c575d6103a3ad7fd7dade5486cad10ea659"}, + {file = "msgpack-1.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5e390971d082dba073c05dbd56322427d3280b7cc8b53484c9377adfbae67dc2"}, + {file = "msgpack-1.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00e073efcba9ea99db5acef3959efa45b52bc67b61b00823d2a1a6944bf45982"}, + {file = "msgpack-1.0.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82d92c773fbc6942a7a8b520d22c11cfc8fd83bba86116bfcf962c2f5c2ecdaa"}, + {file = "msgpack-1.0.8-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9ee32dcb8e531adae1f1ca568822e9b3a738369b3b686d1477cbc643c4a9c128"}, + {file = "msgpack-1.0.8-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e3aa7e51d738e0ec0afbed661261513b38b3014754c9459508399baf14ae0c9d"}, + {file = "msgpack-1.0.8-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:69284049d07fce531c17404fcba2bb1df472bc2dcdac642ae71a2d079d950653"}, + {file = "msgpack-1.0.8-cp310-cp310-win32.whl", hash = "sha256:13577ec9e247f8741c84d06b9ece5f654920d8365a4b636ce0e44f15e07ec693"}, + {file = "msgpack-1.0.8-cp310-cp310-win_amd64.whl", hash = "sha256:e532dbd6ddfe13946de050d7474e3f5fb6ec774fbb1a188aaf469b08cf04189a"}, + {file = "msgpack-1.0.8-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9517004e21664f2b5a5fd6333b0731b9cf0817403a941b393d89a2f1dc2bd836"}, + {file = "msgpack-1.0.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d16a786905034e7e34098634b184a7d81f91d4c3d246edc6bd7aefb2fd8ea6ad"}, + {file = "msgpack-1.0.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2872993e209f7ed04d963e4b4fbae72d034844ec66bc4ca403329db2074377b"}, + {file = "msgpack-1.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c330eace3dd100bdb54b5653b966de7f51c26ec4a7d4e87132d9b4f738220ba"}, + {file = "msgpack-1.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83b5c044f3eff2a6534768ccfd50425939e7a8b5cf9a7261c385de1e20dcfc85"}, + {file = "msgpack-1.0.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1876b0b653a808fcd50123b953af170c535027bf1d053b59790eebb0aeb38950"}, + {file = "msgpack-1.0.8-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:dfe1f0f0ed5785c187144c46a292b8c34c1295c01da12e10ccddfc16def4448a"}, + {file = "msgpack-1.0.8-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:3528807cbbb7f315bb81959d5961855e7ba52aa60a3097151cb21956fbc7502b"}, + {file = "msgpack-1.0.8-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e2f879ab92ce502a1e65fce390eab619774dda6a6ff719718069ac94084098ce"}, + {file = "msgpack-1.0.8-cp311-cp311-win32.whl", hash = "sha256:26ee97a8261e6e35885c2ecd2fd4a6d38252246f94a2aec23665a4e66d066305"}, + {file = "msgpack-1.0.8-cp311-cp311-win_amd64.whl", hash = "sha256:eadb9f826c138e6cf3c49d6f8de88225a3c0ab181a9b4ba792e006e5292d150e"}, + {file = "msgpack-1.0.8-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:114be227f5213ef8b215c22dde19532f5da9652e56e8ce969bf0a26d7c419fee"}, + {file = "msgpack-1.0.8-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d661dc4785affa9d0edfdd1e59ec056a58b3dbb9f196fa43587f3ddac654ac7b"}, + {file = "msgpack-1.0.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d56fd9f1f1cdc8227d7b7918f55091349741904d9520c65f0139a9755952c9e8"}, + {file = "msgpack-1.0.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0726c282d188e204281ebd8de31724b7d749adebc086873a59efb8cf7ae27df3"}, + {file = "msgpack-1.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8db8e423192303ed77cff4dce3a4b88dbfaf43979d280181558af5e2c3c71afc"}, + {file = "msgpack-1.0.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99881222f4a8c2f641f25703963a5cefb076adffd959e0558dc9f803a52d6a58"}, + {file = "msgpack-1.0.8-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:b5505774ea2a73a86ea176e8a9a4a7c8bf5d521050f0f6f8426afe798689243f"}, + {file = "msgpack-1.0.8-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:ef254a06bcea461e65ff0373d8a0dd1ed3aa004af48839f002a0c994a6f72d04"}, + {file = "msgpack-1.0.8-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e1dd7839443592d00e96db831eddb4111a2a81a46b028f0facd60a09ebbdd543"}, + {file = "msgpack-1.0.8-cp312-cp312-win32.whl", hash = "sha256:64d0fcd436c5683fdd7c907eeae5e2cbb5eb872fafbc03a43609d7941840995c"}, + {file = "msgpack-1.0.8-cp312-cp312-win_amd64.whl", hash = "sha256:74398a4cf19de42e1498368c36eed45d9528f5fd0155241e82c4082b7e16cffd"}, + {file = "msgpack-1.0.8-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0ceea77719d45c839fd73abcb190b8390412a890df2f83fb8cf49b2a4b5c2f40"}, + {file = "msgpack-1.0.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1ab0bbcd4d1f7b6991ee7c753655b481c50084294218de69365f8f1970d4c151"}, + {file = "msgpack-1.0.8-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1cce488457370ffd1f953846f82323cb6b2ad2190987cd4d70b2713e17268d24"}, + {file = "msgpack-1.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3923a1778f7e5ef31865893fdca12a8d7dc03a44b33e2a5f3295416314c09f5d"}, + {file = "msgpack-1.0.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a22e47578b30a3e199ab067a4d43d790249b3c0587d9a771921f86250c8435db"}, + {file = "msgpack-1.0.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd739c9251d01e0279ce729e37b39d49a08c0420d3fee7f2a4968c0576678f77"}, + {file = "msgpack-1.0.8-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:d3420522057ebab1728b21ad473aa950026d07cb09da41103f8e597dfbfaeb13"}, + {file = "msgpack-1.0.8-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5845fdf5e5d5b78a49b826fcdc0eb2e2aa7191980e3d2cfd2a30303a74f212e2"}, + {file = "msgpack-1.0.8-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6a0e76621f6e1f908ae52860bdcb58e1ca85231a9b0545e64509c931dd34275a"}, + {file = "msgpack-1.0.8-cp38-cp38-win32.whl", hash = "sha256:374a8e88ddab84b9ada695d255679fb99c53513c0a51778796fcf0944d6c789c"}, + {file = "msgpack-1.0.8-cp38-cp38-win_amd64.whl", hash = "sha256:f3709997b228685fe53e8c433e2df9f0cdb5f4542bd5114ed17ac3c0129b0480"}, + {file = "msgpack-1.0.8-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f51bab98d52739c50c56658cc303f190785f9a2cd97b823357e7aeae54c8f68a"}, + {file = "msgpack-1.0.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:73ee792784d48aa338bba28063e19a27e8d989344f34aad14ea6e1b9bd83f596"}, + {file = "msgpack-1.0.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f9904e24646570539a8950400602d66d2b2c492b9010ea7e965025cb71d0c86d"}, + {file = "msgpack-1.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e75753aeda0ddc4c28dce4c32ba2f6ec30b1b02f6c0b14e547841ba5b24f753f"}, + {file = "msgpack-1.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5dbf059fb4b7c240c873c1245ee112505be27497e90f7c6591261c7d3c3a8228"}, + {file = "msgpack-1.0.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4916727e31c28be8beaf11cf117d6f6f188dcc36daae4e851fee88646f5b6b18"}, + {file = "msgpack-1.0.8-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7938111ed1358f536daf311be244f34df7bf3cdedb3ed883787aca97778b28d8"}, + {file = "msgpack-1.0.8-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:493c5c5e44b06d6c9268ce21b302c9ca055c1fd3484c25ba41d34476c76ee746"}, + {file = "msgpack-1.0.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5fbb160554e319f7b22ecf530a80a3ff496d38e8e07ae763b9e82fadfe96f273"}, + {file = "msgpack-1.0.8-cp39-cp39-win32.whl", hash = "sha256:f9af38a89b6a5c04b7d18c492c8ccf2aee7048aff1ce8437c4683bb5a1df893d"}, + {file = "msgpack-1.0.8-cp39-cp39-win_amd64.whl", hash = "sha256:ed59dd52075f8fc91da6053b12e8c89e37aa043f8986efd89e61fae69dc1b011"}, + {file = "msgpack-1.0.8.tar.gz", hash = "sha256:95c02b0e27e706e48d0e5426d1710ca78e0f0628d6e89d5b5a5b91a5f12274f3"}, +] + +[[package]] +name = "mujoco" +version = "2.3.7" +description = "MuJoCo Physics Simulator" +optional = false +python-versions = ">=3.8" +files = [ + {file = "mujoco-2.3.7-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:e8714a5ff6a1561b364b7b4648d4c0c8d13e751874cf7401c309b9d23fa9598b"}, + {file = "mujoco-2.3.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a934315f858a4e0c4b90a682fde519471cfdd7baa64435179da8cd20d4ae3f99"}, + {file = "mujoco-2.3.7-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:36513024330f88b5f9a43558efef5692b33599bffd5141029b690a27918ffcbe"}, + {file = "mujoco-2.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d4eede8ba8210fbd3d3cd1dbf69e24dd1541aa74c5af5b8adbbbf65504b6dba"}, + {file = "mujoco-2.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab85fafc9d5a091c712947573b7e694512d283876bf7f33ae3f8daad3a20c0db"}, + {file = "mujoco-2.3.7-cp310-cp310-win_amd64.whl", hash = "sha256:f8b7e13fef8c813d91b78f975ed0815157692777907ffa4b4be53a4edb75019b"}, + {file = "mujoco-2.3.7-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:779520216f72a8e370e3f0cdd71b45c3b7384c63331a3189194c930a3e7cff5c"}, + {file = "mujoco-2.3.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9d4018053879016282d27ab7a91e292c72d44efb5a88553feacfe5b843dde103"}, + {file = "mujoco-2.3.7-cp311-cp311-macosx_11_0_x86_64.whl", hash = "sha256:3149b16b8122ee62642474bfd2871064e8edc40235471cf5d84be3569afc0312"}, + {file = "mujoco-2.3.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c08660a8d52ef3efde76095f0991e807703a950c1e882d2bcd984b9a846626f7"}, + {file = "mujoco-2.3.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:426af8965f8636d94a0f75740c3024a62b3e585020ee817ef5208ec844a1ad94"}, + {file = "mujoco-2.3.7-cp311-cp311-win_amd64.whl", hash = "sha256:215415a8e98a4b50625beae859079d5e0810b2039e50420f0ba81763c34abb59"}, + {file = "mujoco-2.3.7-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:8b78d14f4c60cea3c58e046bd4de453fb5b9b33aca6a25fc91d39a53f3a5342a"}, + {file = "mujoco-2.3.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5c6f5a51d6f537a4bf294cf73816f3a6384573f8f10a5452b044df2771412a96"}, + {file = "mujoco-2.3.7-cp38-cp38-macosx_11_0_x86_64.whl", hash = "sha256:ea8911e6047f92d7d775701f37e4c093971b6def3160f01d0b6926e29a7e962e"}, + {file = "mujoco-2.3.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7473a3de4dd1a8762d569ffb139196b4c5e7eca27d256df97b6cd4c66d2a09b2"}, + {file = "mujoco-2.3.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40e7e2d8f93d2495ec74efec84e5118ecc6e1d85157a844789c73c9ac9a4e28e"}, + {file = "mujoco-2.3.7-cp38-cp38-win_amd64.whl", hash = "sha256:720bc228a2023b3b0ed6af78f5b0f8ea36867be321d473321555c57dbf6e4e5b"}, + {file = "mujoco-2.3.7-cp39-cp39-macosx_10_16_x86_64.whl", hash = "sha256:855e79686366442aa410246043b44f7d842d3900d68fe7e37feb42147db9d707"}, + {file = "mujoco-2.3.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:98947f4a742d34d36f3c3f83e9167025bb0414bbaa4bd859b0673bdab9959963"}, + {file = "mujoco-2.3.7-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:d42818f2ee5d1632dbce31d136ed5ff868db54b04e4e9aca0c5a3ac329f8a90f"}, + {file = "mujoco-2.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9237e1ba14bced9449c31199e6d5be49547f3a4c99bc83b196af7ca45fd73b83"}, + {file = "mujoco-2.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b728ea638245b150e2650c5433e6952e0ed3798c63e47e264574270caea2a3"}, + {file = "mujoco-2.3.7-cp39-cp39-win_amd64.whl", hash = "sha256:9c721a5042b99d948d5f0296a534bcce3f142c777c4d7642f503a539513f3912"}, + {file = "mujoco-2.3.7.tar.gz", hash = "sha256:422041f1ce37c6d151fbced1048df626837e94fe3cd9f813585907046336a7d0"}, +] + +[package.dependencies] +absl-py = "*" +glfw = "*" +numpy = "*" +pyopengl = "*" + +[[package]] +name = "mypy" +version = "1.9.0" +description = "Optional static typing for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "mypy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f8a67616990062232ee4c3952f41c779afac41405806042a8126fe96e098419f"}, + {file = "mypy-1.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d357423fa57a489e8c47b7c85dfb96698caba13d66e086b412298a1a0ea3b0ed"}, + {file = "mypy-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49c87c15aed320de9b438ae7b00c1ac91cd393c1b854c2ce538e2a72d55df150"}, + {file = "mypy-1.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:48533cdd345c3c2e5ef48ba3b0d3880b257b423e7995dada04248725c6f77374"}, + {file = "mypy-1.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:4d3dbd346cfec7cb98e6cbb6e0f3c23618af826316188d587d1c1bc34f0ede03"}, + {file = "mypy-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:653265f9a2784db65bfca694d1edd23093ce49740b2244cde583aeb134c008f3"}, + {file = "mypy-1.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3a3c007ff3ee90f69cf0a15cbcdf0995749569b86b6d2f327af01fd1b8aee9dc"}, + {file = "mypy-1.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2418488264eb41f69cc64a69a745fad4a8f86649af4b1041a4c64ee61fc61129"}, + {file = "mypy-1.9.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:68edad3dc7d70f2f17ae4c6c1b9471a56138ca22722487eebacfd1eb5321d612"}, + {file = "mypy-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:85ca5fcc24f0b4aeedc1d02f93707bccc04733f21d41c88334c5482219b1ccb3"}, + {file = "mypy-1.9.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aceb1db093b04db5cd390821464504111b8ec3e351eb85afd1433490163d60cd"}, + {file = "mypy-1.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0235391f1c6f6ce487b23b9dbd1327b4ec33bb93934aa986efe8a9563d9349e6"}, + {file = "mypy-1.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4d5ddc13421ba3e2e082a6c2d74c2ddb3979c39b582dacd53dd5d9431237185"}, + {file = "mypy-1.9.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:190da1ee69b427d7efa8aa0d5e5ccd67a4fb04038c380237a0d96829cb157913"}, + {file = "mypy-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:fe28657de3bfec596bbeef01cb219833ad9d38dd5393fc649f4b366840baefe6"}, + {file = "mypy-1.9.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e54396d70be04b34f31d2edf3362c1edd023246c82f1730bbf8768c28db5361b"}, + {file = "mypy-1.9.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5e6061f44f2313b94f920e91b204ec600982961e07a17e0f6cd83371cb23f5c2"}, + {file = "mypy-1.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:81a10926e5473c5fc3da8abb04119a1f5811a236dc3a38d92015cb1e6ba4cb9e"}, + {file = "mypy-1.9.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b685154e22e4e9199fc95f298661deea28aaede5ae16ccc8cbb1045e716b3e04"}, + {file = "mypy-1.9.0-cp38-cp38-win_amd64.whl", hash = "sha256:5d741d3fc7c4da608764073089e5f58ef6352bedc223ff58f2f038c2c4698a89"}, + {file = "mypy-1.9.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:587ce887f75dd9700252a3abbc9c97bbe165a4a630597845c61279cf32dfbf02"}, + {file = "mypy-1.9.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f88566144752999351725ac623471661c9d1cd8caa0134ff98cceeea181789f4"}, + {file = "mypy-1.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:61758fabd58ce4b0720ae1e2fea5cfd4431591d6d590b197775329264f86311d"}, + {file = "mypy-1.9.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e49499be624dead83927e70c756970a0bc8240e9f769389cdf5714b0784ca6bf"}, + {file = "mypy-1.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:571741dc4194b4f82d344b15e8837e8c5fcc462d66d076748142327626a1b6e9"}, + {file = "mypy-1.9.0-py3-none-any.whl", hash = "sha256:a260627a570559181a9ea5de61ac6297aa5af202f06fd7ab093ce74e7181e43e"}, + {file = "mypy-1.9.0.tar.gz", hash = "sha256:3cc5da0127e6a478cddd906068496a97a7618a21ce9b54bde5bf7e539c7af974"}, +] + +[package.dependencies] +mypy-extensions = ">=1.0.0" +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} +typing-extensions = ">=4.1.0" + +[package.extras] +dmypy = ["psutil (>=4.0)"] +install-types = ["pip"] +mypyc = ["setuptools (>=50)"] +reports = ["lxml"] + +[[package]] +name = "mypy-extensions" +version = "1.0.0" +description = "Type system extensions for programs checked with the mypy type checker." +optional = false +python-versions = ">=3.5" +files = [ + {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"}, + {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"}, +] + +[[package]] +name = "ncps" +version = "0.0.7" +description = "Neural Circuit Policies for PyTorch and Keras" +optional = false +python-versions = "*" +files = [ + {file = "ncps-0.0.7-py3-none-any.whl", hash = "sha256:abcfb693385759a6a608615674411b4db1388eb54a26b0f8a602a02130a8eb6d"}, + {file = "ncps-0.0.7.tar.gz", hash = "sha256:56fec1b8d7249574784add2c60d78e68fb0661d6dfac90659fa8cb3255c39abb"}, +] + +[package.dependencies] +future = "*" +packaging = "*" + +[[package]] +name = "networkx" +version = "3.2.1" +description = "Python package for creating and manipulating graphs and networks" +optional = false +python-versions = ">=3.9" +files = [ + {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"}, + {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"}, +] + +[package.extras] +default = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"] +developer = ["changelist (==0.4)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"] +doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"] +extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"] +test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] + +[[package]] +name = "nodeenv" +version = "1.8.0" +description = "Node.js virtual environment builder" +optional = false +python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*" +files = [ + {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"}, + {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"}, +] + +[package.dependencies] +setuptools = "*" + +[[package]] +name = "nox" +version = "2024.3.2" +description = "Flexible test automation." +optional = false +python-versions = ">=3.7" +files = [ + {file = "nox-2024.3.2-py3-none-any.whl", hash = "sha256:e53514173ac0b98dd47585096a55572fe504fecede58ced708979184d05440be"}, + {file = "nox-2024.3.2.tar.gz", hash = "sha256:f521ae08a15adbf5e11f16cb34e8d0e6ea521e0b92868f684e91677deb974553"}, +] + +[package.dependencies] +argcomplete = ">=1.9.4,<4.0" +colorlog = ">=2.6.1,<7.0.0" +packaging = ">=20.9" +virtualenv = ">=20.14.1" + +[package.extras] +tox-to-nox = ["jinja2", "tox"] +uv = ["uv"] + +[[package]] +name = "numpy" +version = "1.26.4" +description = "Fundamental package for array computing in Python" +optional = false +python-versions = ">=3.9" +files = [ + {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, + {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, + {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"}, + {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"}, + {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"}, + {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"}, + {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"}, + {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"}, + {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"}, + {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"}, + {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"}, + {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"}, + {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"}, + {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"}, + {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"}, + {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"}, + {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"}, + {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"}, + {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"}, + {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"}, + {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"}, + {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"}, + {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"}, + {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"}, + {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"}, + {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"}, + {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"}, + {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"}, + {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"}, + {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"}, + {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"}, + {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"}, + {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"}, +] + +[[package]] +name = "nvidia-cublas-cu12" +version = "12.1.3.1" +description = "CUBLAS native runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"}, + {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"}, +] + +[[package]] +name = "nvidia-cuda-cupti-cu12" +version = "12.1.105" +description = "CUDA profiling tools runtime libs." +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"}, + {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"}, +] + +[[package]] +name = "nvidia-cuda-nvrtc-cu12" +version = "12.1.105" +description = "NVRTC native runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"}, + {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"}, +] + +[[package]] +name = "nvidia-cuda-runtime-cu12" +version = "12.1.105" +description = "CUDA Runtime native Libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"}, + {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"}, +] + +[[package]] +name = "nvidia-cudnn-cu12" +version = "8.9.2.26" +description = "cuDNN runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"}, +] + +[package.dependencies] +nvidia-cublas-cu12 = "*" + +[[package]] +name = "nvidia-cufft-cu12" +version = "11.0.2.54" +description = "CUFFT native runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"}, + {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"}, +] + +[[package]] +name = "nvidia-curand-cu12" +version = "10.3.2.106" +description = "CURAND native runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"}, + {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"}, +] + +[[package]] +name = "nvidia-cusolver-cu12" +version = "11.4.5.107" +description = "CUDA solver native runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"}, + {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"}, +] + +[package.dependencies] +nvidia-cublas-cu12 = "*" +nvidia-cusparse-cu12 = "*" +nvidia-nvjitlink-cu12 = "*" + +[[package]] +name = "nvidia-cusparse-cu12" +version = "12.1.0.106" +description = "CUSPARSE native runtime libraries" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"}, + {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"}, +] + +[package.dependencies] +nvidia-nvjitlink-cu12 = "*" + +[[package]] +name = "nvidia-nccl-cu12" +version = "2.19.3" +description = "NVIDIA Collective Communication Library (NCCL) Runtime" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"}, +] + +[[package]] +name = "nvidia-nvjitlink-cu12" +version = "12.4.99" +description = "Nvidia JIT LTO Library" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_aarch64.whl", hash = "sha256:75d6498c96d9adb9435f2bbdbddb479805ddfb97b5c1b32395c694185c20ca57"}, + {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c6428836d20fe7e327191c175791d38570e10762edc588fb46749217cd444c74"}, + {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-win_amd64.whl", hash = "sha256:991905ffa2144cb603d8ca7962d75c35334ae82bf92820b6ba78157277da1ad2"}, +] + +[[package]] +name = "nvidia-nvtx-cu12" +version = "12.1.105" +description = "NVIDIA Tools Extension" +optional = false +python-versions = ">=3" +files = [ + {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"}, + {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"}, +] + +[[package]] +name = "oauthlib" +version = "3.2.2" +description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" +optional = false +python-versions = ">=3.6" +files = [ + {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"}, + {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"}, +] + +[package.extras] +rsa = ["cryptography (>=3.0.0)"] +signals = ["blinker (>=1.4.0)"] +signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] + +[[package]] +name = "packaging" +version = "24.0" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.7" +files = [ + {file = "packaging-24.0-py3-none-any.whl", hash = "sha256:2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5"}, + {file = "packaging-24.0.tar.gz", hash = "sha256:eb82c5e3e56209074766e6885bb04b8c38a0c015d0a30036ebe7ece34c9989e9"}, +] + +[[package]] +name = "pandas" +version = "2.2.0" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.9" +files = [ + {file = "pandas-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8108ee1712bb4fa2c16981fba7e68b3f6ea330277f5ca34fa8d557e986a11670"}, + {file = "pandas-2.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:736da9ad4033aeab51d067fc3bd69a0ba36f5a60f66a527b3d72e2030e63280a"}, + {file = "pandas-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38e0b4fc3ddceb56ec8a287313bc22abe17ab0eb184069f08fc6a9352a769b18"}, + {file = "pandas-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20404d2adefe92aed3b38da41d0847a143a09be982a31b85bc7dd565bdba0f4e"}, + {file = "pandas-2.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7ea3ee3f125032bfcade3a4cf85131ed064b4f8dd23e5ce6fa16473e48ebcaf5"}, + {file = "pandas-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f9670b3ac00a387620489dfc1bca66db47a787f4e55911f1293063a78b108df1"}, + {file = "pandas-2.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:5a946f210383c7e6d16312d30b238fd508d80d927014f3b33fb5b15c2f895430"}, + {file = "pandas-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a1b438fa26b208005c997e78672f1aa8138f67002e833312e6230f3e57fa87d5"}, + {file = "pandas-2.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ce2fbc8d9bf303ce54a476116165220a1fedf15985b09656b4b4275300e920b"}, + {file = "pandas-2.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2707514a7bec41a4ab81f2ccce8b382961a29fbe9492eab1305bb075b2b1ff4f"}, + {file = "pandas-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85793cbdc2d5bc32620dc8ffa715423f0c680dacacf55056ba13454a5be5de88"}, + {file = "pandas-2.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:cfd6c2491dc821b10c716ad6776e7ab311f7df5d16038d0b7458bc0b67dc10f3"}, + {file = "pandas-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a146b9dcacc3123aa2b399df1a284de5f46287a4ab4fbfc237eac98a92ebcb71"}, + {file = "pandas-2.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:fbc1b53c0e1fdf16388c33c3cca160f798d38aea2978004dd3f4d3dec56454c9"}, + {file = "pandas-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a41d06f308a024981dcaa6c41f2f2be46a6b186b902c94c2674e8cb5c42985bc"}, + {file = "pandas-2.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:159205c99d7a5ce89ecfc37cb08ed179de7783737cea403b295b5eda8e9c56d1"}, + {file = "pandas-2.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb1e1f3861ea9132b32f2133788f3b14911b68102d562715d71bd0013bc45440"}, + {file = "pandas-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:761cb99b42a69005dec2b08854fb1d4888fdf7b05db23a8c5a099e4b886a2106"}, + {file = "pandas-2.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a20628faaf444da122b2a64b1e5360cde100ee6283ae8effa0d8745153809a2e"}, + {file = "pandas-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f5be5d03ea2073627e7111f61b9f1f0d9625dc3c4d8dda72cc827b0c58a1d042"}, + {file = "pandas-2.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:a626795722d893ed6aacb64d2401d017ddc8a2341b49e0384ab9bf7112bdec30"}, + {file = "pandas-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9f66419d4a41132eb7e9a73dcec9486cf5019f52d90dd35547af11bc58f8637d"}, + {file = "pandas-2.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:57abcaeda83fb80d447f28ab0cc7b32b13978f6f733875ebd1ed14f8fbc0f4ab"}, + {file = "pandas-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e60f1f7dba3c2d5ca159e18c46a34e7ca7247a73b5dd1a22b6d59707ed6b899a"}, + {file = "pandas-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb61dc8567b798b969bcc1fc964788f5a68214d333cade8319c7ab33e2b5d88a"}, + {file = "pandas-2.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:52826b5f4ed658fa2b729264d63f6732b8b29949c7fd234510d57c61dbeadfcd"}, + {file = "pandas-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bde2bc699dbd80d7bc7f9cab1e23a95c4375de615860ca089f34e7c64f4a8de7"}, + {file = "pandas-2.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:3de918a754bbf2da2381e8a3dcc45eede8cd7775b047b923f9006d5f876802ae"}, + {file = "pandas-2.2.0.tar.gz", hash = "sha256:30b83f7c3eb217fb4d1b494a57a2fda5444f17834f5df2de6b2ffff68dc3c8e2"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""}, + {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}, +] +python-dateutil = ">=2.8.2" +pytz = ">=2020.1" +tzdata = ">=2022.7" + +[package.extras] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] +aws = ["s3fs (>=2022.11.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] +compression = ["zstandard (>=0.19.0)"] +computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] +feather = ["pyarrow (>=10.0.1)"] +fss = ["fsspec (>=2022.11.0)"] +gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] +hdf5 = ["tables (>=3.8.0)"] +html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] +mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=10.0.1)"] +performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] +plot = ["matplotlib (>=3.6.3)"] +postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] +spss = ["pyreadstat (>=1.2.0)"] +sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.9.2)"] + +[[package]] +name = "pathspec" +version = "0.12.1" +description = "Utility library for gitignore style pattern matching of file paths." +optional = false +python-versions = ">=3.8" +files = [ + {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"}, + {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"}, +] + +[[package]] +name = "pdoc" +version = "14.4.0" +description = "API Documentation for Python Projects" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pdoc-14.4.0-py3-none-any.whl", hash = "sha256:6ea4fe07620b1f7601e2708a307a257636ec206e20b5611640b30f2e3cab47d6"}, + {file = "pdoc-14.4.0.tar.gz", hash = "sha256:c92edc425429ccbe287ace2a027953c24f13de53eab484c1a6d31ca72dd2fda9"}, +] + +[package.dependencies] +Jinja2 = ">=2.11.0" +MarkupSafe = "*" +pygments = ">=2.12.0" + +[package.extras] +dev = ["hypothesis", "mypy", "pdoc-pyo3-sample-library (==1.0.11)", "pygments (>=2.14.0)", "pytest", "pytest-cov", "pytest-timeout", "ruff", "tox", "types-pygments"] + +[[package]] +name = "pillow" +version = "10.2.0" +description = "Python Imaging Library (Fork)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"}, + {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"}, + {file = "pillow-10.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fad5ff2f13d69b7e74ce5b4ecd12cc0ec530fcee76356cac6742785ff71c452"}, + {file = "pillow-10.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da2b52b37dad6d9ec64e653637a096905b258d2fc2b984c41ae7d08b938a67e4"}, + {file = "pillow-10.2.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:47c0995fc4e7f79b5cfcab1fc437ff2890b770440f7696a3ba065ee0fd496563"}, + {file = "pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:322bdf3c9b556e9ffb18f93462e5f749d3444ce081290352c6070d014c93feb2"}, + {file = "pillow-10.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:51f1a1bffc50e2e9492e87d8e09a17c5eea8409cda8d3f277eb6edc82813c17c"}, + {file = "pillow-10.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:69ffdd6120a4737710a9eee73e1d2e37db89b620f702754b8f6e62594471dee0"}, + {file = "pillow-10.2.0-cp310-cp310-win32.whl", hash = "sha256:c6dafac9e0f2b3c78df97e79af707cdc5ef8e88208d686a4847bab8266870023"}, + {file = "pillow-10.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:aebb6044806f2e16ecc07b2a2637ee1ef67a11840a66752751714a0d924adf72"}, + {file = "pillow-10.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:7049e301399273a0136ff39b84c3678e314f2158f50f517bc50285fb5ec847ad"}, + {file = "pillow-10.2.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:35bb52c37f256f662abdfa49d2dfa6ce5d93281d323a9af377a120e89a9eafb5"}, + {file = "pillow-10.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9c23f307202661071d94b5e384e1e1dc7dfb972a28a2310e4ee16103e66ddb67"}, + {file = "pillow-10.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:773efe0603db30c281521a7c0214cad7836c03b8ccff897beae9b47c0b657d61"}, + {file = "pillow-10.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11fa2e5984b949b0dd6d7a94d967743d87c577ff0b83392f17cb3990d0d2fd6e"}, + {file = "pillow-10.2.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:716d30ed977be8b37d3ef185fecb9e5a1d62d110dfbdcd1e2a122ab46fddb03f"}, + {file = "pillow-10.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a086c2af425c5f62a65e12fbf385f7c9fcb8f107d0849dba5839461a129cf311"}, + {file = "pillow-10.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c8de2789052ed501dd829e9cae8d3dcce7acb4777ea4a479c14521c942d395b1"}, + {file = "pillow-10.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:609448742444d9290fd687940ac0b57fb35e6fd92bdb65386e08e99af60bf757"}, + {file = "pillow-10.2.0-cp311-cp311-win32.whl", hash = "sha256:823ef7a27cf86df6597fa0671066c1b596f69eba53efa3d1e1cb8b30f3533068"}, + {file = "pillow-10.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:1da3b2703afd040cf65ec97efea81cfba59cdbed9c11d8efc5ab09df9509fc56"}, + {file = "pillow-10.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:edca80cbfb2b68d7b56930b84a0e45ae1694aeba0541f798e908a49d66b837f1"}, + {file = "pillow-10.2.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:1b5e1b74d1bd1b78bc3477528919414874748dd363e6272efd5abf7654e68bef"}, + {file = "pillow-10.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0eae2073305f451d8ecacb5474997c08569fb4eb4ac231ffa4ad7d342fdc25ac"}, + {file = "pillow-10.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7c2286c23cd350b80d2fc9d424fc797575fb16f854b831d16fd47ceec078f2c"}, + {file = "pillow-10.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e23412b5c41e58cec602f1135c57dfcf15482013ce6e5f093a86db69646a5aa"}, + {file = "pillow-10.2.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:52a50aa3fb3acb9cf7213573ef55d31d6eca37f5709c69e6858fe3bc04a5c2a2"}, + {file = "pillow-10.2.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:127cee571038f252a552760076407f9cff79761c3d436a12af6000cd182a9d04"}, + {file = "pillow-10.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:8d12251f02d69d8310b046e82572ed486685c38f02176bd08baf216746eb947f"}, + {file = "pillow-10.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:54f1852cd531aa981bc0965b7d609f5f6cc8ce8c41b1139f6ed6b3c54ab82bfb"}, + {file = "pillow-10.2.0-cp312-cp312-win32.whl", hash = "sha256:257d8788df5ca62c980314053197f4d46eefedf4e6175bc9412f14412ec4ea2f"}, + {file = "pillow-10.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:154e939c5f0053a383de4fd3d3da48d9427a7e985f58af8e94d0b3c9fcfcf4f9"}, + {file = "pillow-10.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:f379abd2f1e3dddb2b61bc67977a6b5a0a3f7485538bcc6f39ec76163891ee48"}, + {file = "pillow-10.2.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8373c6c251f7ef8bda6675dd6d2b3a0fcc31edf1201266b5cf608b62a37407f9"}, + {file = "pillow-10.2.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:870ea1ada0899fd0b79643990809323b389d4d1d46c192f97342eeb6ee0b8483"}, + {file = "pillow-10.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4b6b1e20608493548b1f32bce8cca185bf0480983890403d3b8753e44077129"}, + {file = "pillow-10.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3031709084b6e7852d00479fd1d310b07d0ba82765f973b543c8af5061cf990e"}, + {file = "pillow-10.2.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:3ff074fc97dd4e80543a3e91f69d58889baf2002b6be64347ea8cf5533188213"}, + {file = "pillow-10.2.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:cb4c38abeef13c61d6916f264d4845fab99d7b711be96c326b84df9e3e0ff62d"}, + {file = "pillow-10.2.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b1b3020d90c2d8e1dae29cf3ce54f8094f7938460fb5ce8bc5c01450b01fbaf6"}, + {file = "pillow-10.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:170aeb00224ab3dc54230c797f8404507240dd868cf52066f66a41b33169bdbe"}, + {file = "pillow-10.2.0-cp38-cp38-win32.whl", hash = "sha256:c4225f5220f46b2fde568c74fca27ae9771536c2e29d7c04f4fb62c83275ac4e"}, + {file = "pillow-10.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:0689b5a8c5288bc0504d9fcee48f61a6a586b9b98514d7d29b840143d6734f39"}, + {file = "pillow-10.2.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:b792a349405fbc0163190fde0dc7b3fef3c9268292586cf5645598b48e63dc67"}, + {file = "pillow-10.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c570f24be1e468e3f0ce7ef56a89a60f0e05b30a3669a459e419c6eac2c35364"}, + {file = "pillow-10.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8ecd059fdaf60c1963c58ceb8997b32e9dc1b911f5da5307aab614f1ce5c2fb"}, + {file = "pillow-10.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c365fd1703040de1ec284b176d6af5abe21b427cb3a5ff68e0759e1e313a5e7e"}, + {file = "pillow-10.2.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:70c61d4c475835a19b3a5aa42492409878bbca7438554a1f89d20d58a7c75c01"}, + {file = "pillow-10.2.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b6f491cdf80ae540738859d9766783e3b3c8e5bd37f5dfa0b76abdecc5081f13"}, + {file = "pillow-10.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d189550615b4948f45252d7f005e53c2040cea1af5b60d6f79491a6e147eef7"}, + {file = "pillow-10.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:49d9ba1ed0ef3e061088cd1e7538a0759aab559e2e0a80a36f9fd9d8c0c21591"}, + {file = "pillow-10.2.0-cp39-cp39-win32.whl", hash = "sha256:babf5acfede515f176833ed6028754cbcd0d206f7f614ea3447d67c33be12516"}, + {file = "pillow-10.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:0304004f8067386b477d20a518b50f3fa658a28d44e4116970abfcd94fac34a8"}, + {file = "pillow-10.2.0-cp39-cp39-win_arm64.whl", hash = "sha256:0fb3e7fc88a14eacd303e90481ad983fd5b69c761e9e6ef94c983f91025da869"}, + {file = "pillow-10.2.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:322209c642aabdd6207517e9739c704dc9f9db943015535783239022002f054a"}, + {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eedd52442c0a5ff4f887fab0c1c0bb164d8635b32c894bc1faf4c618dd89df2"}, + {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb28c753fd5eb3dd859b4ee95de66cc62af91bcff5db5f2571d32a520baf1f04"}, + {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:33870dc4653c5017bf4c8873e5488d8f8d5f8935e2f1fb9a2208c47cdd66efd2"}, + {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3c31822339516fb3c82d03f30e22b1d038da87ef27b6a78c9549888f8ceda39a"}, + {file = "pillow-10.2.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a2b56ba36e05f973d450582fb015594aaa78834fefe8dfb8fcd79b93e64ba4c6"}, + {file = "pillow-10.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:d8e6aeb9201e655354b3ad049cb77d19813ad4ece0df1249d3c793de3774f8c7"}, + {file = "pillow-10.2.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:2247178effb34a77c11c0e8ac355c7a741ceca0a732b27bf11e747bbc950722f"}, + {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15587643b9e5eb26c48e49a7b33659790d28f190fc514a322d55da2fb5c2950e"}, + {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753cd8f2086b2b80180d9b3010dd4ed147efc167c90d3bf593fe2af21265e5a5"}, + {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7c8f97e8e7a9009bcacbe3766a36175056c12f9a44e6e6f2d5caad06dcfbf03b"}, + {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d1b35bcd6c5543b9cb547dee3150c93008f8dd0f1fef78fc0cd2b141c5baf58a"}, + {file = "pillow-10.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fe4c15f6c9285dc54ce6553a3ce908ed37c8f3825b5a51a15c91442bb955b868"}, + {file = "pillow-10.2.0.tar.gz", hash = "sha256:e87f0b2c78157e12d7686b27d63c070fd65d994e8ddae6f328e0dcf4a0cd007e"}, +] + +[package.extras] +docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"] +fpx = ["olefile"] +mic = ["olefile"] +tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] +typing = ["typing-extensions"] +xmp = ["defusedxml"] + +[[package]] +name = "platformdirs" +version = "4.2.0" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +optional = false +python-versions = ">=3.8" +files = [ + {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"}, + {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"}, +] + +[package.extras] +docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] + +[[package]] +name = "pluggy" +version = "1.4.0" +description = "plugin and hook calling mechanisms for python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"}, + {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"}, +] + +[package.extras] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] + +[[package]] +name = "pre-commit" +version = "3.6.2" +description = "A framework for managing and maintaining multi-language pre-commit hooks." +optional = false +python-versions = ">=3.9" +files = [ + {file = "pre_commit-3.6.2-py2.py3-none-any.whl", hash = "sha256:ba637c2d7a670c10daedc059f5c49b5bd0aadbccfcd7ec15592cf9665117532c"}, + {file = "pre_commit-3.6.2.tar.gz", hash = "sha256:c3ef34f463045c88658c5b99f38c1e297abdcc0ff13f98d3370055fbbfabc67e"}, +] + +[package.dependencies] +cfgv = ">=2.0.0" +identify = ">=1.0.0" +nodeenv = ">=0.11.1" +pyyaml = ">=5.1" +virtualenv = ">=20.10.0" + +[[package]] +name = "protobuf" +version = "5.26.0" +description = "" +optional = false +python-versions = ">=3.8" +files = [ + {file = "protobuf-5.26.0-cp310-abi3-win32.whl", hash = "sha256:f9ecc8eb6f18037e0cbf43256db0325d4723f429bca7ef5cd358b7c29d65f628"}, + {file = "protobuf-5.26.0-cp310-abi3-win_amd64.whl", hash = "sha256:dfd29f6eb34107dccf289a93d44fb6b131e68888d090b784b691775ac84e8213"}, + {file = "protobuf-5.26.0-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:7e47c57303466c867374a17b2b5e99c5a7c8b72a94118e2f28efb599f19b4069"}, + {file = "protobuf-5.26.0-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:e184175276edc222e2d5e314a72521e10049938a9a4961fe4bea9b25d073c03f"}, + {file = "protobuf-5.26.0-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:6ee9d1aa02f951c5ce10bf8c6cfb7604133773038e33f913183c8b5201350600"}, + {file = "protobuf-5.26.0-cp38-cp38-win32.whl", hash = "sha256:2c334550e1cb4efac5c8a3987384bf13a4334abaf5ab59e40479e7b70ecd6b19"}, + {file = "protobuf-5.26.0-cp38-cp38-win_amd64.whl", hash = "sha256:8eef61a90631c21b06b4f492a27e199a269827f046de3bb68b61aa84fcf50905"}, + {file = "protobuf-5.26.0-cp39-cp39-win32.whl", hash = "sha256:ca825f4eecb8c342d2ec581e6a5ad1ad1a47bededaecd768e0d3451ae4aaac2b"}, + {file = "protobuf-5.26.0-cp39-cp39-win_amd64.whl", hash = "sha256:efd4f5894c50bd76cbcfdd668cd941021333861ed0f441c78a83d8254a01cc9f"}, + {file = "protobuf-5.26.0-py3-none-any.whl", hash = "sha256:a49b6c5359bf34fb7bf965bf21abfab4476e4527d822ab5289ee3bf73f291159"}, + {file = "protobuf-5.26.0.tar.gz", hash = "sha256:82f5870d74c99addfe4152777bdf8168244b9cf0ac65f8eccf045ddfa9d80d9b"}, +] + +[[package]] +name = "pyarrow" +version = "15.0.0" +description = "Python library for Apache Arrow" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pyarrow-15.0.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:0a524532fd6dd482edaa563b686d754c70417c2f72742a8c990b322d4c03a15d"}, + {file = "pyarrow-15.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:60a6bdb314affa9c2e0d5dddf3d9cbb9ef4a8dddaa68669975287d47ece67642"}, + {file = "pyarrow-15.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:66958fd1771a4d4b754cd385835e66a3ef6b12611e001d4e5edfcef5f30391e2"}, + {file = "pyarrow-15.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f500956a49aadd907eaa21d4fff75f73954605eaa41f61cb94fb008cf2e00c6"}, + {file = "pyarrow-15.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6f87d9c4f09e049c2cade559643424da84c43a35068f2a1c4653dc5b1408a929"}, + {file = "pyarrow-15.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:85239b9f93278e130d86c0e6bb455dcb66fc3fd891398b9d45ace8799a871a1e"}, + {file = "pyarrow-15.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:5b8d43e31ca16aa6e12402fcb1e14352d0d809de70edd185c7650fe80e0769e3"}, + {file = "pyarrow-15.0.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:fa7cd198280dbd0c988df525e50e35b5d16873e2cdae2aaaa6363cdb64e3eec5"}, + {file = "pyarrow-15.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8780b1a29d3c8b21ba6b191305a2a607de2e30dab399776ff0aa09131e266340"}, + {file = "pyarrow-15.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fe0ec198ccc680f6c92723fadcb97b74f07c45ff3fdec9dd765deb04955ccf19"}, + {file = "pyarrow-15.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:036a7209c235588c2f07477fe75c07e6caced9b7b61bb897c8d4e52c4b5f9555"}, + {file = "pyarrow-15.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2bd8a0e5296797faf9a3294e9fa2dc67aa7f10ae2207920dbebb785c77e9dbe5"}, + {file = "pyarrow-15.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:e8ebed6053dbe76883a822d4e8da36860f479d55a762bd9e70d8494aed87113e"}, + {file = "pyarrow-15.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:17d53a9d1b2b5bd7d5e4cd84d018e2a45bc9baaa68f7e6e3ebed45649900ba99"}, + {file = "pyarrow-15.0.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:9950a9c9df24090d3d558b43b97753b8f5867fb8e521f29876aa021c52fda351"}, + {file = "pyarrow-15.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:003d680b5e422d0204e7287bb3fa775b332b3fce2996aa69e9adea23f5c8f970"}, + {file = "pyarrow-15.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f75fce89dad10c95f4bf590b765e3ae98bcc5ba9f6ce75adb828a334e26a3d40"}, + {file = "pyarrow-15.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ca9cb0039923bec49b4fe23803807e4ef39576a2bec59c32b11296464623dc2"}, + {file = "pyarrow-15.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:9ed5a78ed29d171d0acc26a305a4b7f83c122d54ff5270810ac23c75813585e4"}, + {file = "pyarrow-15.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:6eda9e117f0402dfcd3cd6ec9bfee89ac5071c48fc83a84f3075b60efa96747f"}, + {file = "pyarrow-15.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:9a3a6180c0e8f2727e6f1b1c87c72d3254cac909e609f35f22532e4115461177"}, + {file = "pyarrow-15.0.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:19a8918045993349b207de72d4576af0191beef03ea655d8bdb13762f0cd6eac"}, + {file = "pyarrow-15.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d0ec076b32bacb6666e8813a22e6e5a7ef1314c8069d4ff345efa6246bc38593"}, + {file = "pyarrow-15.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5db1769e5d0a77eb92344c7382d6543bea1164cca3704f84aa44e26c67e320fb"}, + {file = "pyarrow-15.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e2617e3bf9df2a00020dd1c1c6dce5cc343d979efe10bc401c0632b0eef6ef5b"}, + {file = "pyarrow-15.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:d31c1d45060180131caf10f0f698e3a782db333a422038bf7fe01dace18b3a31"}, + {file = "pyarrow-15.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:c8c287d1d479de8269398b34282e206844abb3208224dbdd7166d580804674b7"}, + {file = "pyarrow-15.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:07eb7f07dc9ecbb8dace0f58f009d3a29ee58682fcdc91337dfeb51ea618a75b"}, + {file = "pyarrow-15.0.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:47af7036f64fce990bb8a5948c04722e4e3ea3e13b1007ef52dfe0aa8f23cf7f"}, + {file = "pyarrow-15.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:93768ccfff85cf044c418bfeeafce9a8bb0cee091bd8fd19011aff91e58de540"}, + {file = "pyarrow-15.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f6ee87fd6892700960d90abb7b17a72a5abb3b64ee0fe8db6c782bcc2d0dc0b4"}, + {file = "pyarrow-15.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:001fca027738c5f6be0b7a3159cc7ba16a5c52486db18160909a0831b063c4e4"}, + {file = "pyarrow-15.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:d1c48648f64aec09accf44140dccb92f4f94394b8d79976c426a5b79b11d4fa7"}, + {file = "pyarrow-15.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:972a0141be402bb18e3201448c8ae62958c9c7923dfaa3b3d4530c835ac81aed"}, + {file = "pyarrow-15.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:f01fc5cf49081426429127aa2d427d9d98e1cb94a32cb961d583a70b7c4504e6"}, + {file = "pyarrow-15.0.0.tar.gz", hash = "sha256:876858f549d540898f927eba4ef77cd549ad8d24baa3207cf1b72e5788b50e83"}, +] + +[package.dependencies] +numpy = ">=1.16.6,<2" + +[[package]] +name = "pyasn1" +version = "0.5.1" +description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"}, + {file = "pyasn1-0.5.1.tar.gz", hash = "sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c"}, +] + +[[package]] +name = "pyasn1-modules" +version = "0.3.0" +description = "A collection of ASN.1-based protocols modules" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"}, + {file = "pyasn1_modules-0.3.0.tar.gz", hash = "sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c"}, +] + +[package.dependencies] +pyasn1 = ">=0.4.6,<0.6.0" + +[[package]] +name = "pygame" +version = "2.5.2" +description = "Python Game Development" +optional = false +python-versions = ">=3.6" +files = [ + {file = "pygame-2.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a0769eb628c818761755eb0a0ca8216b95270ea8cbcbc82227e39ac9644643da"}, + {file = "pygame-2.5.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed9a3d98adafa0805ccbaaff5d2996a2b5795381285d8437a4a5d248dbd12b4a"}, + {file = "pygame-2.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f30d1618672a55e8c6669281ba264464b3ab563158e40d89e8c8b3faa0febebd"}, + {file = "pygame-2.5.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:39690e9be9baf58b7359d1f3b2336e1fd6f92fedbbce42987be5df27f8d30718"}, + {file = "pygame-2.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03879ec299c9f4ba23901b2649a96b2143f0a5d787f0b6c39469989e2320caf1"}, + {file = "pygame-2.5.2-cp310-cp310-win32.whl", hash = "sha256:74e1d6284100e294f445832e6f6343be4fe4748decc4f8a51131ae197dae8584"}, + {file = "pygame-2.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:485239c7d32265fd35b76ae8f64f34b0637ae11e69d76de15710c4b9edcc7c8d"}, + {file = "pygame-2.5.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:34646ca20e163dc6f6cf8170f1e12a2e41726780112594ac061fa448cf7ccd75"}, + {file = "pygame-2.5.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3b8a6e351665ed26ea791f0e1fd649d3f483e8681892caef9d471f488f9ea5ee"}, + {file = "pygame-2.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc346965847aef00013fa2364f41a64f068cd096dcc7778fc306ca3735f0eedf"}, + {file = "pygame-2.5.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35632035fd81261f2d797fa810ea8c46111bd78ceb6089d52b61ed7dc3c5d05f"}, + {file = "pygame-2.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e24d05184e4195fe5ebcdce8b18ecb086f00182b9ae460a86682d312ce8d31f"}, + {file = "pygame-2.5.2-cp311-cp311-win32.whl", hash = "sha256:f02c1c7505af18d426d355ac9872bd5c916b27f7b0fe224749930662bea47a50"}, + {file = "pygame-2.5.2-cp311-cp311-win_amd64.whl", hash = "sha256:6d58c8cf937815d3b7cdc0fa9590c5129cb2c9658b72d00e8a4568dea2ff1d42"}, + {file = "pygame-2.5.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:1a2a43802bb5e89ce2b3b775744e78db4f9a201bf8d059b946c61722840ceea8"}, + {file = "pygame-2.5.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1c289f2613c44fe70a1e40769de4a49c5ab5a29b9376f1692bb1a15c9c1c9bfa"}, + {file = "pygame-2.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:074aa6c6e110c925f7f27f00c7733c6303407edc61d738882985091d1eb2ef17"}, + {file = "pygame-2.5.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fe0228501ec616779a0b9c4299e837877783e18df294dd690b9ab0eed3d8aaab"}, + {file = "pygame-2.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31648d38ecdc2335ffc0e38fb18a84b3339730521505dac68514f83a1092e3f4"}, + {file = "pygame-2.5.2-cp312-cp312-win32.whl", hash = "sha256:224c308856334bc792f696e9278e50d099a87c116f7fc314cd6aa3ff99d21592"}, + {file = "pygame-2.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:dd2d2650faf54f9a0f5bd0db8409f79609319725f8f08af6507a0609deadcad4"}, + {file = "pygame-2.5.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:9b30bc1220c457169571aac998e54b013aaeb732d2fd8744966cb1cfab1f61d1"}, + {file = "pygame-2.5.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78fcd7643358b886a44127ff7dec9041c056c212b3a98977674f83f99e9b12d3"}, + {file = "pygame-2.5.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35cf093a51cb294ede56c29d4acf41538c00f297fcf78a9b186fb7d23c0577b6"}, + {file = "pygame-2.5.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fe323acbf53a0195c8c98b1b941eba7ac24e3e2b28ae48e8cda566f15fc4945"}, + {file = "pygame-2.5.2-cp36-cp36m-win32.whl", hash = "sha256:5697528266b4716d9cdd44a5a1d210f4d86ef801d0f64ca5da5d0816704009d9"}, + {file = "pygame-2.5.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edda1f7cff4806a4fa39e0e8ccd75f38d1d340fa5fc52d8582ade87aca247d92"}, + {file = "pygame-2.5.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:9bd738fd4ecc224769d0b4a719f96900a86578e26e0105193658a32966df2aae"}, + {file = "pygame-2.5.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30a8d7cf12363b4140bf2f93b5eec4028376ca1d0fe4b550588f836279485308"}, + {file = "pygame-2.5.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bc12e4dea3e88ea8a553de6d56a37b704dbe2aed95105889f6afeb4b96e62097"}, + {file = "pygame-2.5.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b34c73cb328024f8db3cb6487a37e54000148988275d8d6e5adf99d9323c937"}, + {file = "pygame-2.5.2-cp37-cp37m-win32.whl", hash = "sha256:7d0a2794649defa57ef50b096a99f7113d3d0c2e32d1426cafa7d618eadce4c7"}, + {file = "pygame-2.5.2-cp37-cp37m-win_amd64.whl", hash = "sha256:41f8779f52e0f6e6e6ccb8f0b5536e432bf386ee29c721a1c22cada7767b0cef"}, + {file = "pygame-2.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:677e37bc0ea7afd89dde5a88ced4458aa8656159c70a576eea68b5622ee1997b"}, + {file = "pygame-2.5.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:47a8415d2bd60e6909823b5643a1d4ef5cc29417d817f2a214b255f6fa3a1e4c"}, + {file = "pygame-2.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ff21201df6278b8ca2e948fb148ffe88f5481fd03760f381dd61e45954c7dff"}, + {file = "pygame-2.5.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d29a84b2e02814b9ba925357fd2e1df78efe5e1aa64dc3051eaed95d2b96eafd"}, + {file = "pygame-2.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d78485c4d21133d6b2fbb504cd544ca655e50b6eb551d2995b3aa6035928adda"}, + {file = "pygame-2.5.2-cp38-cp38-win32.whl", hash = "sha256:d851247239548aa357c4a6840fb67adc2d570ce7cb56988d036a723d26b48bff"}, + {file = "pygame-2.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:88d1cdacc2d3471eceab98bf0c93c14d3a8461f93e58e3d926f20d4de3a75554"}, + {file = "pygame-2.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4f1559e7efe4efb9dc19d2d811d702f325d9605f9f6f9ececa39ee6890c798f5"}, + {file = "pygame-2.5.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cf2191b756ceb0e8458a761d0c665b0c70b538570449e0d39b75a5ba94ac5cf0"}, + {file = "pygame-2.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6cf2257447ce7f2d6de37e5fb019d2bbe32ed05a5721ace8bc78c2d9beaf3aee"}, + {file = "pygame-2.5.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d75cbbfaba2b81434d62631d0b08b85fab16cf4a36e40b80298d3868927e1299"}, + {file = "pygame-2.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:daca456d5b9f52e088e06a127dec182b3638a775684fb2260f25d664351cf1ae"}, + {file = "pygame-2.5.2-cp39-cp39-win32.whl", hash = "sha256:3b3e619e33d11c297d7a57a82db40681f9c2c3ae1d5bf06003520b4fe30c435d"}, + {file = "pygame-2.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:1822d534bb7fe756804647b6da2c9ea5d7a62d8796b2e15d172d3be085de28c6"}, + {file = "pygame-2.5.2-pp36-pypy36_pp73-win32.whl", hash = "sha256:e708fc8f709a0fe1d1876489345f2e443d47f3976d33455e2e1e937f972f8677"}, + {file = "pygame-2.5.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c13edebc43c240fb0532969e914f0ccefff5ae7e50b0b788d08ad2c15ef793e4"}, + {file = "pygame-2.5.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:263b4a7cbfc9fe2055abc21b0251cc17dea6dff750f0e1c598919ff350cdbffe"}, + {file = "pygame-2.5.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e58e2b0c791041e4bccafa5bd7650623ba1592b8fe62ae0a276b7d0ecb314b6c"}, + {file = "pygame-2.5.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a0bd67426c02ffe6c9827fc4bcbda9442fbc451d29b17c83a3c088c56fef2c90"}, + {file = "pygame-2.5.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9dcff6cbba1584cf7732ce1dbdd044406cd4f6e296d13bcb7fba963fb4aeefc9"}, + {file = "pygame-2.5.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ce4b6c0bfe44d00bb0998a6517bd0cf9455f642f30f91bc671ad41c05bf6f6ae"}, + {file = "pygame-2.5.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:68c4e8e60b725ffc7a6c6ecd9bb5fcc5ed2d6e0e2a2c4a29a8454856ef16ad63"}, + {file = "pygame-2.5.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f3849f97372a3381c66955f99a0d58485ccd513c3d00c030b869094ce6997a6"}, + {file = "pygame-2.5.2.tar.gz", hash = "sha256:c1b89eb5d539e7ac5cf75513125fb5f2f0a2d918b1fd6e981f23bf0ac1b1c24a"}, +] + +[[package]] +name = "pygments" +version = "2.17.2" +description = "Pygments is a syntax highlighting package written in Python." +optional = false +python-versions = ">=3.7" +files = [ + {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"}, + {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"}, +] + +[package.extras] +plugins = ["importlib-metadata"] +windows-terminal = ["colorama (>=0.4.6)"] + +[[package]] +name = "pynvml" +version = "11.5.0" +description = "Python Bindings for the NVIDIA Management Library" +optional = false +python-versions = ">=3.6" +files = [ + {file = "pynvml-11.5.0-py3-none-any.whl", hash = "sha256:5cce014ac01b098d08f06178f86c37be409b80b2e903a5a03ce15eed60f55e25"}, + {file = "pynvml-11.5.0.tar.gz", hash = "sha256:d027b21b95b1088b9fc278117f9f61b7c67f8e33a787e9f83f735f0f71ac32d0"}, +] + +[[package]] +name = "pyopengl" +version = "3.1.7" +description = "Standard OpenGL bindings for Python" +optional = false +python-versions = "*" +files = [ + {file = "PyOpenGL-3.1.7-py3-none-any.whl", hash = "sha256:a6ab19cf290df6101aaf7470843a9c46207789855746399d0af92521a0a92b7a"}, + {file = "PyOpenGL-3.1.7.tar.gz", hash = "sha256:eef31a3888e6984fd4d8e6c9961b184c9813ca82604d37fe3da80eb000a76c86"}, +] + +[[package]] +name = "pytest" +version = "8.1.1" +description = "pytest: simple powerful testing with Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pytest-8.1.1-py3-none-any.whl", hash = "sha256:2a8386cfc11fa9d2c50ee7b2a57e7d898ef90470a7a34c4b949ff59662bb78b7"}, + {file = "pytest-8.1.1.tar.gz", hash = "sha256:ac978141a75948948817d360297b7aae0fcb9d6ff6bc9ec6d514b85d5a65c044"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} +iniconfig = "*" +packaging = "*" +pluggy = ">=1.4,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} + +[package.extras] +testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] + +[[package]] +name = "python-dateutil" +version = "2.9.0.post0" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +files = [ + {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, + {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "pytz" +version = "2024.1" +description = "World timezone definitions, modern and historical" +optional = false +python-versions = "*" +files = [ + {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"}, + {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"}, +] + +[[package]] +name = "pyyaml" +version = "6.0.1" +description = "YAML parser and emitter for Python" +optional = false +python-versions = ">=3.6" +files = [ + {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"}, + {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"}, + {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"}, + {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"}, + {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"}, + {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, + {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"}, + {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"}, + {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"}, + {file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"}, + {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"}, + {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"}, + {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"}, + {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, + {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"}, + {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, + {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, + {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, + {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, + {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"}, + {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"}, + {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"}, + {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd"}, + {file = "PyYAML-6.0.1-cp36-cp36m-win32.whl", hash = "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585"}, + {file = "PyYAML-6.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa"}, + {file = "PyYAML-6.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3"}, + {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27"}, + {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3"}, + {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c"}, + {file = "PyYAML-6.0.1-cp37-cp37m-win32.whl", hash = "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba"}, + {file = "PyYAML-6.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867"}, + {file = "PyYAML-6.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595"}, + {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"}, + {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"}, + {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"}, + {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, + {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"}, + {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"}, + {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"}, + {file = "PyYAML-6.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859"}, + {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"}, + {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"}, + {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"}, + {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, + {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"}, + {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"}, + {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"}, +] + +[[package]] +name = "ray" +version = "2.5.0" +description = "Ray provides a simple, universal API for building distributed applications." +optional = false +python-versions = "*" +files = [ + {file = "ray-2.5.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:d1bebc874e896880c1215f4c1a11697ada49fa1595d6d99d7c5b4dc03030df36"}, + {file = "ray-2.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c0285df2d24cacc36ca64b7852178a9bf37e3fc88545752fc2b46c27396965c1"}, + {file = "ray-2.5.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:38935d46c2597c1d1f113e1c8f88e2716c67052c480de5b2a0265e0a1a5ce88f"}, + {file = "ray-2.5.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:d53a07c9a9dbc134945a26980f557e9ff0f591bf8cabed1a6ebf921768d1c8bd"}, + {file = "ray-2.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:ef26ba24461dad98365b48ef01e27e70bc9737f4cf4734115804153d7d9195dc"}, + {file = "ray-2.5.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:d714175a5000ca91f82646a9b72521118bb6d2db5568e1b7ae9ceb64769716b6"}, + {file = "ray-2.5.0-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:0cde929e63497ed5f1c8626e5ccf7595ef6acaf1e7e270ad7c12f8e1c7695244"}, + {file = "ray-2.5.0-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:7e5512abf62c05c9ff90b1c89a4e0f2e45ee00e73f816eb8265e3ebd92fe4064"}, + {file = "ray-2.5.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:3bf36beb213f89c0eb1ec5ac6ffddc8f53e616be745167f00ca017abd8672a2d"}, + {file = "ray-2.5.0-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:59c2448b07f45d9a9d8e594bb5337bd35a5fea04e42cb4211a3346c2c0d066b0"}, + {file = "ray-2.5.0-cp37-cp37m-win_amd64.whl", hash = "sha256:63008dd659d9ef25b0e20f0e1a285e8266e0af68b1178bca1b6ae43e49a68104"}, + {file = "ray-2.5.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:e9464e93d6b72e0da69b9c5ab0501cc40f2db14801e22c6b97fa4e8039647892"}, + {file = "ray-2.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7dc00fac119bfa1c2f8ac456d50a728346d6f2722fb7a21bf70841fc7476c285"}, + {file = "ray-2.5.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:d76051519bd4ae39fda4a87536978cafdebf2843c1c29a9f734c503d8ea676cd"}, + {file = "ray-2.5.0-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:9a8e06dc5d4201129c28b6768a971c474b82a23935b2e40461ffc7f1c2f4942a"}, + {file = "ray-2.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:849014b62ca50ff106b7a5d41430346e2762b1c4c803673af076209925b8f912"}, + {file = "ray-2.5.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:a1b52c12a3349d8e37357df31438b6f1b12c7719ef41bdf5089fc7e78e8ab212"}, + {file = "ray-2.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:25f3d50c27c4c4756259d093d152381c6604bb96684a0cf43c55ddcc2eb73f79"}, + {file = "ray-2.5.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:1cb4f6ef9cfdb69d2ae582f357e977527944390e2f5cbbf51efd8252ed4c9a11"}, + {file = "ray-2.5.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:662cff303c086369a29283badcd7445b7f911874d8407b2c589b1ccbf6028d2e"}, + {file = "ray-2.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:a2cea10981dad7cfd187edf5e225a667eb114269afc5f2321b52113ef2d86123"}, +] + +[package.dependencies] +aiosignal = "*" +attrs = "*" +click = ">=7.0" +filelock = "*" +frozenlist = "*" +grpcio = [ + {version = ">=1.42.0,<=1.51.3", markers = "python_version >= \"3.10\" and sys_platform != \"darwin\""}, + {version = ">=1.42.0,<=1.49.1", markers = "python_version >= \"3.10\" and sys_platform == \"darwin\""}, +] +jsonschema = "*" +msgpack = ">=1.0.0,<2.0.0" +numpy = {version = ">=1.19.3", markers = "python_version >= \"3.9\""} +packaging = "*" +protobuf = ">=3.15.3,<3.19.5 || >3.19.5" +pyyaml = "*" +requests = "*" + +[package.extras] +air = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "fsspec", "gpustat (>=1.0.0)", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn", "virtualenv (>=20.0.24,<20.21.1)"] +all = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "dm-tree", "fastapi", "fsspec", "gpustat (>=1.0.0)", "gymnasium (==0.26.3)", "kubernetes", "lz4", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic", "pyyaml", "ray-cpp (==2.5.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "urllib3", "uvicorn", "virtualenv (>=20.0.24,<20.21.1)"] +cpp = ["ray-cpp (==2.5.0)"] +data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"] +default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "gpustat (>=1.0.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic", "requests", "smart-open", "virtualenv (>=20.0.24,<20.21.1)"] +k8s = ["kubernetes", "urllib3"] +observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] +rllib = ["dm-tree", "gymnasium (==0.26.3)", "lz4", "pandas", "pyarrow (>=6.0.1)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "tensorboardX (>=1.9)", "typer"] +serve = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "gpustat (>=1.0.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic", "requests", "smart-open", "starlette", "uvicorn", "virtualenv (>=20.0.24,<20.21.1)"] +train = ["pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"] +tune = ["pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"] + +[[package]] +name = "referencing" +version = "0.34.0" +description = "JSON Referencing + Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "referencing-0.34.0-py3-none-any.whl", hash = "sha256:d53ae300ceddd3169f1ffa9caf2cb7b769e92657e4fafb23d34b93679116dfd4"}, + {file = "referencing-0.34.0.tar.gz", hash = "sha256:5773bd84ef41799a5a8ca72dc34590c041eb01bf9aa02632b4a973fb0181a844"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +rpds-py = ">=0.7.0" + +[[package]] +name = "requests" +version = "2.31.0" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.7" +files = [ + {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, + {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + +[[package]] +name = "requests-oauthlib" +version = "1.4.0" +description = "OAuthlib authentication support for Requests." +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "requests-oauthlib-1.4.0.tar.gz", hash = "sha256:acee623221e4a39abcbb919312c8ff04bd44e7e417087fb4bd5e2a2f53d5e79a"}, + {file = "requests_oauthlib-1.4.0-py2.py3-none-any.whl", hash = "sha256:7a3130d94a17520169e38db6c8d75f2c974643788465ecc2e4b36d288bf13033"}, +] + +[package.dependencies] +oauthlib = ">=3.0.0" +requests = ">=2.0.0" + +[package.extras] +rsa = ["oauthlib[signedtoken] (>=3.0.0)"] + +[[package]] +name = "rich" +version = "13.7.1" +description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"}, + {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"}, +] + +[package.dependencies] +markdown-it-py = ">=2.2.0" +pygments = ">=2.13.0,<3.0.0" + +[package.extras] +jupyter = ["ipywidgets (>=7.5.1,<9)"] + +[[package]] +name = "rpds-py" +version = "0.18.0" +description = "Python bindings to Rust's persistent data structures (rpds)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "rpds_py-0.18.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5b4e7d8d6c9b2e8ee2d55c90b59c707ca59bc30058269b3db7b1f8df5763557e"}, + {file = "rpds_py-0.18.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c463ed05f9dfb9baebef68048aed8dcdc94411e4bf3d33a39ba97e271624f8f7"}, + {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:01e36a39af54a30f28b73096dd39b6802eddd04c90dbe161c1b8dbe22353189f"}, + {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d62dec4976954a23d7f91f2f4530852b0c7608116c257833922a896101336c51"}, + {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd18772815d5f008fa03d2b9a681ae38d5ae9f0e599f7dda233c439fcaa00d40"}, + {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:923d39efa3cfb7279a0327e337a7958bff00cc447fd07a25cddb0a1cc9a6d2da"}, + {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39514da80f971362f9267c600b6d459bfbbc549cffc2cef8e47474fddc9b45b1"}, + {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a34d557a42aa28bd5c48a023c570219ba2593bcbbb8dc1b98d8cf5d529ab1434"}, + {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:93df1de2f7f7239dc9cc5a4a12408ee1598725036bd2dedadc14d94525192fc3"}, + {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:34b18ba135c687f4dac449aa5157d36e2cbb7c03cbea4ddbd88604e076aa836e"}, + {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c0b5dcf9193625afd8ecc92312d6ed78781c46ecbf39af9ad4681fc9f464af88"}, + {file = "rpds_py-0.18.0-cp310-none-win32.whl", hash = "sha256:c4325ff0442a12113a6379af66978c3fe562f846763287ef66bdc1d57925d337"}, + {file = "rpds_py-0.18.0-cp310-none-win_amd64.whl", hash = "sha256:7223a2a5fe0d217e60a60cdae28d6949140dde9c3bcc714063c5b463065e3d66"}, + {file = "rpds_py-0.18.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:3a96e0c6a41dcdba3a0a581bbf6c44bb863f27c541547fb4b9711fd8cf0ffad4"}, + {file = "rpds_py-0.18.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30f43887bbae0d49113cbaab729a112251a940e9b274536613097ab8b4899cf6"}, + {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcb25daa9219b4cf3a0ab24b0eb9a5cc8949ed4dc72acb8fa16b7e1681aa3c58"}, + {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d68c93e381010662ab873fea609bf6c0f428b6d0bb00f2c6939782e0818d37bf"}, + {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b34b7aa8b261c1dbf7720b5d6f01f38243e9b9daf7e6b8bc1fd4657000062f2c"}, + {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2e6d75ab12b0bbab7215e5d40f1e5b738aa539598db27ef83b2ec46747df90e1"}, + {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b8612cd233543a3781bc659c731b9d607de65890085098986dfd573fc2befe5"}, + {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:aec493917dd45e3c69d00a8874e7cbed844efd935595ef78a0f25f14312e33c6"}, + {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:661d25cbffaf8cc42e971dd570d87cb29a665f49f4abe1f9e76be9a5182c4688"}, + {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1df3659d26f539ac74fb3b0c481cdf9d725386e3552c6fa2974f4d33d78e544b"}, + {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a1ce3ba137ed54f83e56fb983a5859a27d43a40188ba798993812fed73c70836"}, + {file = "rpds_py-0.18.0-cp311-none-win32.whl", hash = "sha256:69e64831e22a6b377772e7fb337533c365085b31619005802a79242fee620bc1"}, + {file = "rpds_py-0.18.0-cp311-none-win_amd64.whl", hash = "sha256:998e33ad22dc7ec7e030b3df701c43630b5bc0d8fbc2267653577e3fec279afa"}, + {file = "rpds_py-0.18.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:7f2facbd386dd60cbbf1a794181e6aa0bd429bd78bfdf775436020172e2a23f0"}, + {file = "rpds_py-0.18.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1d9a5be316c15ffb2b3c405c4ff14448c36b4435be062a7f578ccd8b01f0c4d8"}, + {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd5bf1af8efe569654bbef5a3e0a56eca45f87cfcffab31dd8dde70da5982475"}, + {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5417558f6887e9b6b65b4527232553c139b57ec42c64570569b155262ac0754f"}, + {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:56a737287efecafc16f6d067c2ea0117abadcd078d58721f967952db329a3e5c"}, + {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8f03bccbd8586e9dd37219bce4d4e0d3ab492e6b3b533e973fa08a112cb2ffc9"}, + {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4457a94da0d5c53dc4b3e4de1158bdab077db23c53232f37a3cb7afdb053a4e3"}, + {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0ab39c1ba9023914297dd88ec3b3b3c3f33671baeb6acf82ad7ce883f6e8e157"}, + {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9d54553c1136b50fd12cc17e5b11ad07374c316df307e4cfd6441bea5fb68496"}, + {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0af039631b6de0397ab2ba16eaf2872e9f8fca391b44d3d8cac317860a700a3f"}, + {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:84ffab12db93b5f6bad84c712c92060a2d321b35c3c9960b43d08d0f639d60d7"}, + {file = "rpds_py-0.18.0-cp312-none-win32.whl", hash = "sha256:685537e07897f173abcf67258bee3c05c374fa6fff89d4c7e42fb391b0605e98"}, + {file = "rpds_py-0.18.0-cp312-none-win_amd64.whl", hash = "sha256:e003b002ec72c8d5a3e3da2989c7d6065b47d9eaa70cd8808b5384fbb970f4ec"}, + {file = "rpds_py-0.18.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:08f9ad53c3f31dfb4baa00da22f1e862900f45908383c062c27628754af2e88e"}, + {file = "rpds_py-0.18.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c0013fe6b46aa496a6749c77e00a3eb07952832ad6166bd481c74bda0dcb6d58"}, + {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e32a92116d4f2a80b629778280103d2a510a5b3f6314ceccd6e38006b5e92dcb"}, + {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e541ec6f2ec456934fd279a3120f856cd0aedd209fc3852eca563f81738f6861"}, + {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bed88b9a458e354014d662d47e7a5baafd7ff81c780fd91584a10d6ec842cb73"}, + {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2644e47de560eb7bd55c20fc59f6daa04682655c58d08185a9b95c1970fa1e07"}, + {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e8916ae4c720529e18afa0b879473049e95949bf97042e938530e072fde061d"}, + {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:465a3eb5659338cf2a9243e50ad9b2296fa15061736d6e26240e713522b6235c"}, + {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ea7d4a99f3b38c37eac212dbd6ec42b7a5ec51e2c74b5d3223e43c811609e65f"}, + {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:67071a6171e92b6da534b8ae326505f7c18022c6f19072a81dcf40db2638767c"}, + {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:41ef53e7c58aa4ef281da975f62c258950f54b76ec8e45941e93a3d1d8580594"}, + {file = "rpds_py-0.18.0-cp38-none-win32.whl", hash = "sha256:fdea4952db2793c4ad0bdccd27c1d8fdd1423a92f04598bc39425bcc2b8ee46e"}, + {file = "rpds_py-0.18.0-cp38-none-win_amd64.whl", hash = "sha256:7cd863afe7336c62ec78d7d1349a2f34c007a3cc6c2369d667c65aeec412a5b1"}, + {file = "rpds_py-0.18.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:5307def11a35f5ae4581a0b658b0af8178c65c530e94893345bebf41cc139d33"}, + {file = "rpds_py-0.18.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:77f195baa60a54ef9d2de16fbbfd3ff8b04edc0c0140a761b56c267ac11aa467"}, + {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39f5441553f1c2aed4de4377178ad8ff8f9d733723d6c66d983d75341de265ab"}, + {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9a00312dea9310d4cb7dbd7787e722d2e86a95c2db92fbd7d0155f97127bcb40"}, + {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f2fc11e8fe034ee3c34d316d0ad8808f45bc3b9ce5857ff29d513f3ff2923a1"}, + {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:586f8204935b9ec884500498ccc91aa869fc652c40c093bd9e1471fbcc25c022"}, + {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddc2f4dfd396c7bfa18e6ce371cba60e4cf9d2e5cdb71376aa2da264605b60b9"}, + {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5ddcba87675b6d509139d1b521e0c8250e967e63b5909a7e8f8944d0f90ff36f"}, + {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7bd339195d84439cbe5771546fe8a4e8a7a045417d8f9de9a368c434e42a721e"}, + {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:d7c36232a90d4755b720fbd76739d8891732b18cf240a9c645d75f00639a9024"}, + {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6b0817e34942b2ca527b0e9298373e7cc75f429e8da2055607f4931fded23e20"}, + {file = "rpds_py-0.18.0-cp39-none-win32.whl", hash = "sha256:99f70b740dc04d09e6b2699b675874367885217a2e9f782bdf5395632ac663b7"}, + {file = "rpds_py-0.18.0-cp39-none-win_amd64.whl", hash = "sha256:6ef687afab047554a2d366e112dd187b62d261d49eb79b77e386f94644363294"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ad36cfb355e24f1bd37cac88c112cd7730873f20fb0bdaf8ba59eedf8216079f"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:36b3ee798c58ace201289024b52788161e1ea133e4ac93fba7d49da5fec0ef9e"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8a2f084546cc59ea99fda8e070be2fd140c3092dc11524a71aa8f0f3d5a55ca"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e4461d0f003a0aa9be2bdd1b798a041f177189c1a0f7619fe8c95ad08d9a45d7"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8db715ebe3bb7d86d77ac1826f7d67ec11a70dbd2376b7cc214199360517b641"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793968759cd0d96cac1e367afd70c235867831983f876a53389ad869b043c948"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66e6a3af5a75363d2c9a48b07cb27c4ea542938b1a2e93b15a503cdfa8490795"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ef0befbb5d79cf32d0266f5cff01545602344eda89480e1dd88aca964260b18"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1d4acf42190d449d5e89654d5c1ed3a4f17925eec71f05e2a41414689cda02d1"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:a5f446dd5055667aabaee78487f2b5ab72e244f9bc0b2ffebfeec79051679984"}, + {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:9dbbeb27f4e70bfd9eec1be5477517365afe05a9b2c441a0b21929ee61048124"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:22806714311a69fd0af9b35b7be97c18a0fc2826e6827dbb3a8c94eac6cf7eeb"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:b34ae4636dfc4e76a438ab826a0d1eed2589ca7d9a1b2d5bb546978ac6485461"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c8370641f1a7f0e0669ddccca22f1da893cef7628396431eb445d46d893e5cd"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c8362467a0fdeccd47935f22c256bec5e6abe543bf0d66e3d3d57a8fb5731863"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11a8c85ef4a07a7638180bf04fe189d12757c696eb41f310d2426895356dcf05"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b316144e85316da2723f9d8dc75bada12fa58489a527091fa1d5a612643d1a0e"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf1ea2e34868f6fbf070e1af291c8180480310173de0b0c43fc38a02929fc0e3"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e546e768d08ad55b20b11dbb78a745151acbd938f8f00d0cfbabe8b0199b9880"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4901165d170a5fde6f589acb90a6b33629ad1ec976d4529e769c6f3d885e3e80"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:618a3d6cae6ef8ec88bb76dd80b83cfe415ad4f1d942ca2a903bf6b6ff97a2da"}, + {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ed4eb745efbff0a8e9587d22a84be94a5eb7d2d99c02dacf7bd0911713ed14dd"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6c81e5f372cd0dc5dc4809553d34f832f60a46034a5f187756d9b90586c2c307"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:43fbac5f22e25bee1d482c97474f930a353542855f05c1161fd804c9dc74a09d"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d7faa6f14017c0b1e69f5e2c357b998731ea75a442ab3841c0dbbbfe902d2c4"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:08231ac30a842bd04daabc4d71fddd7e6d26189406d5a69535638e4dcb88fe76"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:044a3e61a7c2dafacae99d1e722cc2d4c05280790ec5a05031b3876809d89a5c"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3f26b5bd1079acdb0c7a5645e350fe54d16b17bfc5e71f371c449383d3342e17"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:482103aed1dfe2f3b71a58eff35ba105289b8d862551ea576bd15479aba01f66"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1374f4129f9bcca53a1bba0bb86bf78325a0374577cf7e9e4cd046b1e6f20e24"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:635dc434ff724b178cb192c70016cc0ad25a275228f749ee0daf0eddbc8183b1"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:bc362ee4e314870a70f4ae88772d72d877246537d9f8cb8f7eacf10884862432"}, + {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:4832d7d380477521a8c1644bbab6588dfedea5e30a7d967b5fb75977c45fd77f"}, + {file = "rpds_py-0.18.0.tar.gz", hash = "sha256:42821446ee7a76f5d9f71f9e33a4fb2ffd724bb3e7f93386150b61a43115788d"}, +] + +[[package]] +name = "rsa" +version = "4.9" +description = "Pure-Python RSA implementation" +optional = false +python-versions = ">=3.6,<4" +files = [ + {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"}, + {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"}, +] + +[package.dependencies] +pyasn1 = ">=0.1.3" + +[[package]] +name = "scalene" +version = "1.5.19" +description = "Scalene: A high-resolution, low-overhead CPU, GPU, and memory profiler for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "scalene-1.5.19-cp310-cp310-macosx_11_7_universal2.whl", hash = "sha256:78480f92f5098fffdcba4e4cd540fdb6b7a95ff933ee93e1056b0aa2ab746643"}, + {file = "scalene-1.5.19-cp310-cp310-manylinux_2_24_x86_64.whl", hash = "sha256:1da57151f00c70446309c9b52843ce7b437bbf32d336a7c309d4fe0b8deda2a2"}, + {file = "scalene-1.5.19-cp310-cp310-win_amd64.whl", hash = "sha256:cdb9be734cfb6b42eef1105fee1876a5c465eb72e109c0d0ceea6e6bdbce21c6"}, + {file = "scalene-1.5.19-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:dd2b29bd13eaafdd98090108357680c1a6fa88067b4e71313252aa065bbe6ec1"}, + {file = "scalene-1.5.19-cp311-cp311-manylinux_2_24_x86_64.whl", hash = "sha256:2dac52555518c7159d2fd9c8c7c31ffa8b6a74f21d1b40a9d315a77f4a7f97ed"}, + {file = "scalene-1.5.19-cp311-cp311-win_amd64.whl", hash = "sha256:eeef31408df35972e54a39ae2d2f1aeab111f2d53d0a78061e45dcf024c6e01d"}, + {file = "scalene-1.5.19-cp37-cp37m-macosx_10_15_universal2.whl", hash = "sha256:58fb40d031081a55e813f292b2d85b64d7558a372832d8e456f7fe2113adf182"}, + {file = "scalene-1.5.19-cp37-cp37m-manylinux_2_24_x86_64.whl", hash = "sha256:50084cd5c2c4732f845011a7a5407c567df52160b5604a8b4b01ee8b0afee985"}, + {file = "scalene-1.5.19-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:0997b1f1ec90e079a73349d702b18df60e6b24c31c255d3e8d6ec6a8b03493c8"}, + {file = "scalene-1.5.19-cp38-cp38-manylinux_2_24_x86_64.whl", hash = "sha256:f67f39321548c06de440319bdd70c41c14b6c50d4748226a101402995677cade"}, + {file = "scalene-1.5.19-cp38-cp38-win_amd64.whl", hash = "sha256:7a1d452ad4d32cf8adb8b86cae4e5b9c7bff866fff1c43618f9ad114b9ecac32"}, + {file = "scalene-1.5.19-cp39-cp39-macosx_11_7_universal2.whl", hash = "sha256:6c08f3bc0b6355db3c34f0e9aea1b291e64675bb832e19758ee751918787cac0"}, + {file = "scalene-1.5.19-cp39-cp39-manylinux_2_24_x86_64.whl", hash = "sha256:d8bc53334b13e486ed6ba03fe4b7595ad4038d05537793eed9999952ba1b34c6"}, + {file = "scalene-1.5.19-cp39-cp39-win_amd64.whl", hash = "sha256:d1fd5d83f3c022ddc46049f29823351b8dbdb8590f5803358fa6034784601f24"}, + {file = "scalene-1.5.19.tar.gz", hash = "sha256:59c5eaaa64f4990444f9606e841b268d49f55dcd7467162e48f9658150a9cd1e"}, +] + +[package.dependencies] +cloudpickle = ">=1.5.0" +Jinja2 = ">=3.0.3" +pynvml = ">=11.0.0" +rich = ">=10.7.0" +wheel = ">=0.36.1" + +[[package]] +name = "scikit-image" +version = "0.22.0" +description = "Image processing in Python" +optional = false +python-versions = ">=3.9" +files = [ + {file = "scikit_image-0.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74ec5c1d4693506842cc7c9487c89d8fc32aed064e9363def7af08b8f8cbb31d"}, + {file = "scikit_image-0.22.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:a05ae4fe03d802587ed8974e900b943275548cde6a6807b785039d63e9a7a5ff"}, + {file = "scikit_image-0.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6a92dca3d95b1301442af055e196a54b5a5128c6768b79fc0a4098f1d662dee6"}, + {file = "scikit_image-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3663d063d8bf2fb9bdfb0ca967b9ee3b6593139c860c7abc2d2351a8a8863938"}, + {file = "scikit_image-0.22.0-cp310-cp310-win_amd64.whl", hash = "sha256:ebdbdc901bae14dab637f8d5c99f6d5cc7aaf4a3b6f4003194e003e9f688a6fc"}, + {file = "scikit_image-0.22.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:95d6da2d8a44a36ae04437c76d32deb4e3c993ffc846b394b9949fd8ded73cb2"}, + {file = "scikit_image-0.22.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:2c6ef454a85f569659b813ac2a93948022b0298516b757c9c6c904132be327e2"}, + {file = "scikit_image-0.22.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e87872f067444ee90a00dd49ca897208308645382e8a24bd3e76f301af2352cd"}, + {file = "scikit_image-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5c378db54e61b491b9edeefff87e49fcf7fdf729bb93c777d7a5f15d36f743e"}, + {file = "scikit_image-0.22.0-cp311-cp311-win_amd64.whl", hash = "sha256:2bcb74adb0634258a67f66c2bb29978c9a3e222463e003b67ba12056c003971b"}, + {file = "scikit_image-0.22.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:003ca2274ac0fac252280e7179ff986ff783407001459ddea443fe7916e38cff"}, + {file = "scikit_image-0.22.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:cf3c0c15b60ae3e557a0c7575fbd352f0c3ce0afca562febfe3ab80efbeec0e9"}, + {file = "scikit_image-0.22.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5b23908dd4d120e6aecb1ed0277563e8cbc8d6c0565bdc4c4c6475d53608452"}, + {file = "scikit_image-0.22.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be79d7493f320a964f8fcf603121595ba82f84720de999db0fcca002266a549a"}, + {file = "scikit_image-0.22.0-cp312-cp312-win_amd64.whl", hash = "sha256:722b970aa5da725dca55252c373b18bbea7858c1cdb406e19f9b01a4a73b30b2"}, + {file = "scikit_image-0.22.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:22318b35044cfeeb63ee60c56fc62450e5fe516228138f1d06c7a26378248a86"}, + {file = "scikit_image-0.22.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:9e801c44a814afdadeabf4dffdffc23733e393767958b82319706f5fa3e1eaa9"}, + {file = "scikit_image-0.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c472a1fb3665ec5c00423684590631d95f9afcbc97f01407d348b821880b2cb3"}, + {file = "scikit_image-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b7a6c89e8d6252332121b58f50e1625c35f7d6a85489c0b6b7ee4f5155d547a"}, + {file = "scikit_image-0.22.0-cp39-cp39-win_amd64.whl", hash = "sha256:5071b8f6341bfb0737ab05c8ab4ac0261f9e25dbcc7b5d31e5ed230fd24a7929"}, + {file = "scikit_image-0.22.0.tar.gz", hash = "sha256:018d734df1d2da2719087d15f679d19285fce97cd37695103deadfaef2873236"}, +] + +[package.dependencies] +imageio = ">=2.27" +lazy_loader = ">=0.3" +networkx = ">=2.8" +numpy = ">=1.22" +packaging = ">=21" +pillow = ">=9.0.1" +scipy = ">=1.8" +tifffile = ">=2022.8.12" + +[package.extras] +build = ["Cython (>=0.29.32)", "build", "meson-python (>=0.14)", "ninja", "numpy (>=1.22)", "packaging (>=21)", "pythran", "setuptools (>=67)", "spin (==0.6)", "wheel"] +data = ["pooch (>=1.6.0)"] +developer = ["pre-commit", "tomli"] +docs = ["PyWavelets (>=1.1.1)", "dask[array] (>=2022.9.2)", "ipykernel", "ipywidgets", "kaleido", "matplotlib (>=3.5)", "myst-parser", "numpydoc (>=1.6)", "pandas (>=1.5)", "plotly (>=5.10)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.14.1)", "pytest-runner", "scikit-learn (>=1.1)", "seaborn (>=0.11)", "sphinx (>=7.2)", "sphinx-copybutton", "sphinx-gallery (>=0.14)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"] +optional = ["PyWavelets (>=1.1.1)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=0.2.1)", "dask[array] (>=2021.1.0)", "matplotlib (>=3.5)", "pooch (>=1.6.0)", "pyamg", "scikit-learn (>=1.1)"] +test = ["asv", "matplotlib (>=3.5)", "numpydoc (>=1.5)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-cov (>=2.11.0)", "pytest-faulthandler", "pytest-localserver"] + +[[package]] +name = "scipy" +version = "1.12.0" +description = "Fundamental algorithms for scientific computing in Python" +optional = false +python-versions = ">=3.9" +files = [ + {file = "scipy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:78e4402e140879387187f7f25d91cc592b3501a2e51dfb320f48dfb73565f10b"}, + {file = "scipy-1.12.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f5f00ebaf8de24d14b8449981a2842d404152774c1a1d880c901bf454cb8e2a1"}, + {file = "scipy-1.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e53958531a7c695ff66c2e7bb7b79560ffdc562e2051644c5576c39ff8efb563"}, + {file = "scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e32847e08da8d895ce09d108a494d9eb78974cf6de23063f93306a3e419960c"}, + {file = "scipy-1.12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4c1020cad92772bf44b8e4cdabc1df5d87376cb219742549ef69fc9fd86282dd"}, + {file = "scipy-1.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:75ea2a144096b5e39402e2ff53a36fecfd3b960d786b7efd3c180e29c39e53f2"}, + {file = "scipy-1.12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:408c68423f9de16cb9e602528be4ce0d6312b05001f3de61fe9ec8b1263cad08"}, + {file = "scipy-1.12.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5adfad5dbf0163397beb4aca679187d24aec085343755fcdbdeb32b3679f254c"}, + {file = "scipy-1.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3003652496f6e7c387b1cf63f4bb720951cfa18907e998ea551e6de51a04467"}, + {file = "scipy-1.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b8066bce124ee5531d12a74b617d9ac0ea59245246410e19bca549656d9a40a"}, + {file = "scipy-1.12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8bee4993817e204d761dba10dbab0774ba5a8612e57e81319ea04d84945375ba"}, + {file = "scipy-1.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:a24024d45ce9a675c1fb8494e8e5244efea1c7a09c60beb1eeb80373d0fecc70"}, + {file = "scipy-1.12.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e7e76cc48638228212c747ada851ef355c2bb5e7f939e10952bc504c11f4e372"}, + {file = "scipy-1.12.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:f7ce148dffcd64ade37b2df9315541f9adad6efcaa86866ee7dd5db0c8f041c3"}, + {file = "scipy-1.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c39f92041f490422924dfdb782527a4abddf4707616e07b021de33467f917bc"}, + {file = "scipy-1.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a7ebda398f86e56178c2fa94cad15bf457a218a54a35c2a7b4490b9f9cb2676c"}, + {file = "scipy-1.12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:95e5c750d55cf518c398a8240571b0e0782c2d5a703250872f36eaf737751338"}, + {file = "scipy-1.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:e646d8571804a304e1da01040d21577685ce8e2db08ac58e543eaca063453e1c"}, + {file = "scipy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:913d6e7956c3a671de3b05ccb66b11bc293f56bfdef040583a7221d9e22a2e35"}, + {file = "scipy-1.12.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:bba1b0c7256ad75401c73e4b3cf09d1f176e9bd4248f0d3112170fb2ec4db067"}, + {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:730badef9b827b368f351eacae2e82da414e13cf8bd5051b4bdfd720271a5371"}, + {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6546dc2c11a9df6926afcbdd8a3edec28566e4e785b915e849348c6dd9f3f490"}, + {file = "scipy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:196ebad3a4882081f62a5bf4aeb7326aa34b110e533aab23e4374fcccb0890dc"}, + {file = "scipy-1.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:b360f1b6b2f742781299514e99ff560d1fe9bd1bff2712894b52abe528d1fd1e"}, + {file = "scipy-1.12.0.tar.gz", hash = "sha256:4bf5abab8a36d20193c698b0f1fc282c1d083c94723902c447e5d2f1780936a3"}, +] + +[package.dependencies] +numpy = ">=1.22.4,<1.29.0" + +[package.extras] +dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"] +doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] +test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + +[[package]] +name = "setuptools" +version = "69.2.0" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +optional = false +python-versions = ">=3.8" +files = [ + {file = "setuptools-69.2.0-py3-none-any.whl", hash = "sha256:c21c49fb1042386df081cb5d86759792ab89efca84cf114889191cd09aacc80c"}, + {file = "setuptools-69.2.0.tar.gz", hash = "sha256:0ff4183f8f42cd8fa3acea16c45205521a4ef28f73c6391d8a25e92893134f2e"}, +] + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] +testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] + +[[package]] +name = "shellingham" +version = "1.5.4" +description = "Tool to Detect Surrounding Shell" +optional = false +python-versions = ">=3.7" +files = [ + {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, + {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, +] + +[[package]] +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, + {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, +] + +[[package]] +name = "sympy" +version = "1.12" +description = "Computer algebra system (CAS) in Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"}, + {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"}, +] + +[package.dependencies] +mpmath = ">=0.19" + +[[package]] +name = "tensorboard" +version = "2.14.1" +description = "TensorBoard lets you watch Tensors Flow" +optional = false +python-versions = ">=3.9" +files = [ + {file = "tensorboard-2.14.1-py3-none-any.whl", hash = "sha256:3db108fb58f023b6439880e177743c5f1e703e9eeb5fb7d597871f949f85fd58"}, +] + +[package.dependencies] +absl-py = ">=0.4" +google-auth = ">=1.6.3,<3" +google-auth-oauthlib = ">=0.5,<1.1" +grpcio = ">=1.48.2" +markdown = ">=2.6.8" +numpy = ">=1.12.0" +protobuf = ">=3.19.6" +requests = ">=2.21.0,<3" +setuptools = ">=41.0.0" +six = ">1.9" +tensorboard-data-server = ">=0.7.0,<0.8.0" +werkzeug = ">=1.0.1" + +[[package]] +name = "tensorboard-data-server" +version = "0.7.2" +description = "Fast data loading for TensorBoard" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"}, + {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"}, + {file = "tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl", hash = "sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530"}, +] + +[[package]] +name = "tensorboardx" +version = "2.6.2.2" +description = "TensorBoardX lets you watch Tensors Flow without Tensorflow" +optional = false +python-versions = "*" +files = [ + {file = "tensorboardX-2.6.2.2-py2.py3-none-any.whl", hash = "sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8"}, + {file = "tensorboardX-2.6.2.2.tar.gz", hash = "sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666"}, +] + +[package.dependencies] +numpy = "*" +packaging = "*" +protobuf = ">=3.20" + +[[package]] +name = "tensorflow-probability" +version = "0.23.0" +description = "Probabilistic modeling and statistical inference in TensorFlow" +optional = false +python-versions = ">=3.9" +files = [ + {file = "tensorflow_probability-0.23.0-py2.py3-none-any.whl", hash = "sha256:dda5cacfe50cb19ecd96f3ce81e6ff8680d84213bcfe94ca0aaf6e5f51c88061"}, +] + +[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 = "tifffile" +version = "2024.2.12" +description = "Read and write TIFF files" +optional = false +python-versions = ">=3.9" +files = [ + {file = "tifffile-2024.2.12-py3-none-any.whl", hash = "sha256:870998f82fbc94ff7c3528884c1b0ae54863504ff51dbebea431ac3fa8fb7c21"}, + {file = "tifffile-2024.2.12.tar.gz", hash = "sha256:4920a3ec8e8e003e673d3c6531863c99eedd570d1b8b7e141c072ed78ff8030d"}, +] + +[package.dependencies] +numpy = "*" + +[package.extras] +all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"] + +[[package]] +name = "tomli" +version = "2.0.1" +description = "A lil' TOML parser" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, + {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, +] + +[[package]] +name = "torch" +version = "2.2.0" +description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "torch-2.2.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:d366158d6503a3447e67f8c0ad1328d54e6c181d88572d688a625fac61b13a97"}, + {file = "torch-2.2.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:707f2f80402981e9f90d0038d7d481678586251e6642a7a6ef67fc93511cb446"}, + {file = "torch-2.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:15c8f0a105c66b28496092fca1520346082e734095f8eaf47b5786bac24b8a31"}, + {file = "torch-2.2.0-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:0ca4df4b728515ad009b79f5107b00bcb2c63dc202d991412b9eb3b6a4f24349"}, + {file = "torch-2.2.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:3d3eea2d5969b9a1c9401429ca79efc668120314d443d3463edc3289d7f003c7"}, + {file = "torch-2.2.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:0d1c580e379c0d48f0f0a08ea28d8e373295aa254de4f9ad0631f9ed8bc04c24"}, + {file = "torch-2.2.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:9328e3c1ce628a281d2707526b4d1080eae7c4afab4f81cea75bde1f9441dc78"}, + {file = "torch-2.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:03c8e660907ac1b8ee07f6d929c4e15cd95be2fb764368799cca02c725a212b8"}, + {file = "torch-2.2.0-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:da0cefe7f84ece3e3b56c11c773b59d1cb2c0fd83ddf6b5f7f1fd1a987b15c3e"}, + {file = "torch-2.2.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:f81d23227034221a4a4ff8ef24cc6cec7901edd98d9e64e32822778ff01be85e"}, + {file = "torch-2.2.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:dcbfb2192ac41ca93c756ebe9e2af29df0a4c14ee0e7a0dd78f82c67a63d91d4"}, + {file = "torch-2.2.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:9eeb42971619e24392c9088b5b6d387d896e267889d41d267b1fec334f5227c5"}, + {file = "torch-2.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:c718b2ca69a6cac28baa36d86d8c0ec708b102cebd1ceb1b6488e404cd9be1d1"}, + {file = "torch-2.2.0-cp312-none-macosx_10_9_x86_64.whl", hash = "sha256:f11d18fceb4f9ecb1ac680dde7c463c120ed29056225d75469c19637e9f98d12"}, + {file = "torch-2.2.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:ee1da852bfd4a7e674135a446d6074c2da7194c1b08549e31eae0b3138c6b4d2"}, + {file = "torch-2.2.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:0d819399819d0862268ac531cf12a501c253007df4f9e6709ede8a0148f1a7b8"}, + {file = "torch-2.2.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:08f53ccc38c49d839bc703ea1b20769cc8a429e0c4b20b56921a9f64949bf325"}, + {file = "torch-2.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:93bffe3779965a71dab25fc29787538c37c5d54298fd2f2369e372b6fb137d41"}, + {file = "torch-2.2.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:c17ec323da778efe8dad49d8fb534381479ca37af1bfc58efdbb8607a9d263a3"}, + {file = "torch-2.2.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c02685118008834e878f676f81eab3a952b7936fa31f474ef8a5ff4b5c78b36d"}, + {file = "torch-2.2.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:d9f39d6f53cec240a0e3baa82cb697593340f9d4554cee6d3d6ca07925c2fac0"}, + {file = "torch-2.2.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:51770c065206250dc1222ea7c0eff3f88ab317d3e931cca2aee461b85fbc2472"}, + {file = "torch-2.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:008e4c6ad703de55af760c73bf937ecdd61a109f9b08f2bbb9c17e7c7017f194"}, + {file = "torch-2.2.0-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:de8680472dd14e316f42ceef2a18a301461a9058cd6e99a1f1b20f78f11412f1"}, + {file = "torch-2.2.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:99e1dcecb488e3fd25bcaac56e48cdb3539842904bdc8588b0b255fde03a254c"}, +] + +[package.dependencies] +filelock = "*" +fsspec = "*" +jinja2 = "*" +networkx = "*" +nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +sympy = "*" +triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +typing-extensions = ">=4.8.0" + +[package.extras] +opt-einsum = ["opt-einsum (>=3.3)"] +optree = ["optree (>=0.9.1)"] + +[[package]] +name = "torchvision" +version = "0.17.0" +description = "image and video datasets and models for torch deep learning" +optional = false +python-versions = ">=3.8" +files = [ + {file = "torchvision-0.17.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:153882cd8ff8e3dbef5c5054fdd15df64e85420546805a90c0b2221f2f119c4a"}, + {file = "torchvision-0.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c55c2f86e3f3a21ddd92739a972366244e9b17916e836ec47167b0a0c083c65f"}, + {file = "torchvision-0.17.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:605950cdcefe6c5aef85709ade17b1525bcf171e122cce1df09e666d96525b90"}, + {file = "torchvision-0.17.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:3d86c212fc6379e9bec3ac647d062e34c2cf36c26b98840b66573eb9fbe1f1d9"}, + {file = "torchvision-0.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:71b314813faf13cecb09a4a635b5e4b274e8df0b1921681038d491c529555bb6"}, + {file = "torchvision-0.17.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:10d276821f115fb369e6cf1f1b77b2cca60cda12cbb39a41513a9d3d0f2a93ae"}, + {file = "torchvision-0.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a3eef2daddadb5c21e802e0550dd7e3ee3d98c430f4aed212ae3ba0358558be1"}, + {file = "torchvision-0.17.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:acc0d098ab8c295a750f0218bf5bf7bfc2f2c21f9c2fe3fc30b695cd94f4c759"}, + {file = "torchvision-0.17.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:3d2e9552d72e4037f2db6f7d97989a2e2f95763aa1861963a3faf521bb1610c4"}, + {file = "torchvision-0.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:f8e542cf71e1294fcb5635038eae6702df543dc90706f0836ec80e75efc511fc"}, + {file = "torchvision-0.17.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:816ae1a4506b1cb0f638e1827cae7ab768c731369ab23e86839f177926197143"}, + {file = "torchvision-0.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:be39874c239215a39b3c431c7016501f1a45bfbbebf2fe8e11d8339b5ea23bca"}, + {file = "torchvision-0.17.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:8fe14d580557aef2c45dd462c069ff936b6507b215c4b496f30973ae8cff917d"}, + {file = "torchvision-0.17.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:4608ba3246c45c968ede40e7640e4eed64556210faa154cf1ffccb1cadabe445"}, + {file = "torchvision-0.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:b755d6d3e021239d2408bf3794d0d3dcffbc629f1fd808c43d8b346045a098c4"}, + {file = "torchvision-0.17.0-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:870d7cda57420e44d20eb07bfe37bf5344a06434a7a6195b4c7f3dd55838587d"}, + {file = "torchvision-0.17.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:477f6e64a9d798c0f5adefc300acc220da6f17ef5c1e110d20108f66554fee4d"}, + {file = "torchvision-0.17.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:a54a15bd6f3dbb04ebd36c5a87530b2e090ee4b9b15eb89eda558ab3e50396a0"}, + {file = "torchvision-0.17.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e041ce3336364413bab051a3966d884bab25c200f98ca8a065f0abe758c3005e"}, + {file = "torchvision-0.17.0-cp38-cp38-win_amd64.whl", hash = "sha256:7887f767670c72aa20f5237042d0ca1462da18f66a3ea8c36b6ba67ce26b82fc"}, + {file = "torchvision-0.17.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:b1ced438b81ef662a71c8c81debaf0c80455b35b811ca55a4c3c593d721b560a"}, + {file = "torchvision-0.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b53569c52bd4bd1176a1e49d8ea55883bcf57e1614cb97e2e8ce372768299b70"}, + {file = "torchvision-0.17.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7f373507afcd9022ebd9f50b31da8dbac1ea6783ffb77d1f1ab8806425c0a83b"}, + {file = "torchvision-0.17.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:085251ab36340206dc7e1be59a15fa5e307d45ccd66889f5d7bf1ba5e7ecdc57"}, + {file = "torchvision-0.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:4c0d4c0af58af2752aad235150bd794d0f324e6eeac5cd13c440bda5dce622d3"}, +] + +[package.dependencies] +numpy = "*" +pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0" +requests = "*" +torch = "2.2.0" + +[package.extras] +scipy = ["scipy"] + +[[package]] +name = "triton" +version = "2.2.0" +description = "A language and compiler for custom Deep Learning operations" +optional = false +python-versions = "*" +files = [ + {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"}, + {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"}, + {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"}, + {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"}, + {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"}, + {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"}, +] + +[package.dependencies] +filelock = "*" + +[package.extras] +build = ["cmake (>=3.20)", "lit"] +tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"] +tutorials = ["matplotlib", "pandas", "tabulate", "torch"] + +[[package]] +name = "typer" +version = "0.9.0" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.6" +files = [ + {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"}, + {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"}, +] + +[package.dependencies] +click = ">=7.1.1,<9.0.0" +colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""} +rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""} +shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""} +typing-extensions = ">=3.7.4.3" + +[package.extras] +all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"] +dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"] +doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"] +test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"] + +[[package]] +name = "typing-extensions" +version = "4.10.0" +description = "Backported and Experimental Type Hints for Python 3.8+" +optional = false +python-versions = ">=3.8" +files = [ + {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"}, + {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"}, +] + +[[package]] +name = "tzdata" +version = "2024.1" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +files = [ + {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, + {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, +] + +[[package]] +name = "urllib3" +version = "2.2.1" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.8" +files = [ + {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"}, + {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +h2 = ["h2 (>=4,<5)"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "virtualenv" +version = "20.25.1" +description = "Virtual Python Environment builder" +optional = false +python-versions = ">=3.7" +files = [ + {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"}, + {file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"}, +] + +[package.dependencies] +distlib = ">=0.3.7,<1" +filelock = ">=3.12.2,<4" +platformdirs = ">=3.9.1,<5" + +[package.extras] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] + +[[package]] +name = "werkzeug" +version = "3.0.1" +description = "The comprehensive WSGI web application library." +optional = false +python-versions = ">=3.8" +files = [ + {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"}, + {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"}, +] + +[package.dependencies] +MarkupSafe = ">=2.1.1" + +[package.extras] +watchdog = ["watchdog (>=2.3)"] + +[[package]] +name = "wheel" +version = "0.43.0" +description = "A built-package format for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"}, + {file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"}, +] + +[package.extras] +test = ["pytest (>=6.0.0)", "setuptools (>=65)"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.10,<3.12" +content-hash = "509edf73f4033750e63ae33eb5508b4723a53c63b526c202cd8517bf0b086aa2" diff --git a/pyproject.toml b/pyproject.toml new file mode 100755 index 0000000..dca5009 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,77 @@ +[tool.poetry] +name = "rl_benchmarks" +version = "0.1.0" +description = "Suite of RL control policy environments for benchmarking." +authors = ["William Li "] +readme = "README.md" + + +[tool.poetry.dependencies] +python = ">=3.10,<3.12" +dm-tree = "0.1.8" +future = "1.0.0" +gymnasium = {extras = ["classic-control", "mujoco"], version = "0.29.1"} +lz4 = "4.3.3" +mujoco = "2.3.7" +ncps = "0.0.7" +numpy = "1.26.4" +pandas = "2.2.0" +pyarrow = "15.0.0" +requests = "2.31.0" +ray = "2.5.0" +scikit-image = "0.22.0" +tensorboard = "2.14.1" +tensorboardX = "2.6.2.2" +tensorflow-probability = "0.23.0" +torch = "2.2.0" +torchvision = "0.17.0" +typer = {extras = ["all"], version = "^0.9.0"} + +[tool.poetry.group.dev.dependencies] +black = "*" +coverage = "*" +gputil = "*" +nox = "*" +pdoc = "*" +pre-commit = "*" +pytest = "*" +mypy = "*" +scalene = "*" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +log_cli = true +log_cli_level = "INFO" +log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)" +log_cli_date_format = "%Y-%m-%d %H:%M:%S" + +[tool.black] +line-length = 90 +target-version = ['py39'] +include = '\.pyi?$' +exclude = ''' +/( + \.eggs + | \.git + | \.hg + | \.idea + | \.mypy_cache + | \.pytest_cache + | \.tox + | \.venv + | \.vscode + | \.nox + | \docs + | _build + | buck-out + | build + | dist + # The following are specific to Black, you probably don't want those. + | blib2to3 + | tests/data + | profiling +)/ +''' diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 0000000..a06bc77 --- /dev/null +++ b/src/__init__.py @@ -0,0 +1,21 @@ +""" +.. include:: ../README.md +""" + + +def admonitions(): + """ + ``` + .. note/warning/danger:: Optional title + Optional text + ``` + + .. note:: + Hi there! + + .. warning:: Be Careful! + This warning has both a title and content. + + .. danger:: + Danger ahead. + """ diff --git a/src/assets/std/ant.xml b/src/assets/std/ant.xml new file mode 100644 index 0000000..ee4d679 --- /dev/null +++ b/src/assets/std/ant.xml @@ -0,0 +1,81 @@ + + + diff --git a/src/assets/std/half_cheetah.xml b/src/assets/std/half_cheetah.xml new file mode 100644 index 0000000..338c2e8 --- /dev/null +++ b/src/assets/std/half_cheetah.xml @@ -0,0 +1,96 @@ + + + + + + + + + + diff --git a/src/assets/std/hopper.xml b/src/assets/std/hopper.xml new file mode 100644 index 0000000..cc3fbc8 --- /dev/null +++ b/src/assets/std/hopper.xml @@ -0,0 +1,53 @@ + + + + + + + + + diff --git a/src/assets/std/humanoid.xml b/src/assets/std/humanoid.xml new file mode 100644 index 0000000..a263bdb --- /dev/null +++ b/src/assets/std/humanoid.xml @@ -0,0 +1,121 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/src/assets/std/humanoidstandup.xml b/src/assets/std/humanoidstandup.xml new file mode 100644 index 0000000..854dbc9 --- /dev/null +++ b/src/assets/std/humanoidstandup.xml @@ -0,0 +1,121 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/src/assets/std/inverted_double_pendulum.xml b/src/assets/std/inverted_double_pendulum.xml new file mode 100644 index 0000000..aeae238 --- /dev/null +++ b/src/assets/std/inverted_double_pendulum.xml @@ -0,0 +1,47 @@ + + + + + + + + + + + diff --git a/src/assets/std/inverted_pendulum.xml b/src/assets/std/inverted_pendulum.xml new file mode 100644 index 0000000..5a90cea --- /dev/null +++ b/src/assets/std/inverted_pendulum.xml @@ -0,0 +1,27 @@ + + + + + + + + + diff --git a/src/assets/std/point.xml b/src/assets/std/point.xml new file mode 100644 index 0000000..e35ef3d --- /dev/null +++ b/src/assets/std/point.xml @@ -0,0 +1,31 @@ + + + diff --git a/src/assets/std/pusher.xml b/src/assets/std/pusher.xml new file mode 100644 index 0000000..ad4e63a --- /dev/null +++ b/src/assets/std/pusher.xml @@ -0,0 +1,91 @@ + + + diff --git a/src/assets/std/reacher.xml b/src/assets/std/reacher.xml new file mode 100644 index 0000000..1945a7f --- /dev/null +++ b/src/assets/std/reacher.xml @@ -0,0 +1,39 @@ + + + + + + + diff --git a/src/assets/std/swimmer.xml b/src/assets/std/swimmer.xml new file mode 100644 index 0000000..456d95f --- /dev/null +++ b/src/assets/std/swimmer.xml @@ -0,0 +1,39 @@ + + + diff --git a/src/assets/std/walker2d.xml b/src/assets/std/walker2d.xml new file mode 100644 index 0000000..180bfae --- /dev/null +++ b/src/assets/std/walker2d.xml @@ -0,0 +1,68 @@ + + + + + + + + diff --git a/src/ci/README.md b/src/ci/README.md new file mode 100644 index 0000000..257fa0f --- /dev/null +++ b/src/ci/README.md @@ -0,0 +1 @@ +# Continuous Integration diff --git a/src/ci/__init__.py b/src/ci/__init__.py new file mode 100644 index 0000000..44245fa --- /dev/null +++ b/src/ci/__init__.py @@ -0,0 +1,3 @@ +""" +.. include:: README.md +""" diff --git a/src/ci/utils.py b/src/ci/utils.py new file mode 100644 index 0000000..5867b7e --- /dev/null +++ b/src/ci/utils.py @@ -0,0 +1,22 @@ +""" +Includes common utility functions when running Continuous Integration (CI). +""" +import os +import webbrowser + + +def view_html( + index_path: str, + browser: str | None = None, +): + """View an HTML file using the browser provided by the user. + + Args: + index_path (str): Path to HTML index. Usually this file is named index.html. + browser (str | None, optional): Possible arguments include `Chrome`, `Firefox`, `Safari`. If no browser is specified it will open using your system's default browser. Defaults to None. + """ + + # Open in a browser and view results + cwd = os.getcwd() + url = f"file://{cwd}/{index_path}/index.html" + webbrowser.get(browser).open(url) diff --git a/src/environments.py b/src/environments.py new file mode 100644 index 0000000..44126ef --- /dev/null +++ b/src/environments.py @@ -0,0 +1,81 @@ +"""Environment wrappers for gym. These are used to add additional functionality into the standard gym environments. +""" +import logging +import random +from typing import Union + +import gymnasium as gym +from distutils.dir_util import copy_tree +from distutils.sysconfig import get_python_lib +from gymnasium.spaces import Box +from gymnasium.wrappers.frame_stack import FrameStack + +from src.utils import env_validation + + +def install_mujoco_xml( + user_assets_path: str = "std", + gym_assets_path: str = "/gymnasium/envs/mujoco/assets", +): + """This is a way to insert user modified XML files into the Mujoco environments. Gymnasium does not offer a method to insert XML modification to Mujoco before version `1.0.0` so this is a temporary fix.""" + + # Specify the location of XML files + std_mujoco_xml_dir = f"src/assets/{user_assets_path}" + gym_mujoco_xml_dir = get_python_lib() + gym_assets_path + + # Replace the destination XML files with the user XML files + copy_tree(std_mujoco_xml_dir, gym_mujoco_xml_dir) + + +class EnvFramestack(gym.Env): + """This is a vectorized custom environment with framestacking. Note that the formatting of the reset and step outputs need to be defined correctly or you will see an error that states the structures are incompatible.""" + + def __init__(self, config, render_mode: Union[str, None] = None): + self.debug = True + self.env_id = config["env_id"] + n_frames = config["n_frames"] + + self.custom_env = FrameStack( + gym.make( + self.env_id, + render_mode=render_mode, + ), + n_frames, + ) + self.action_space = self.custom_env.action_space + self.observation_space = self.custom_env.observation_space + + # Currently setup for box observation space + assert isinstance(self.custom_env.observation_space, Box) + + # Check observation type is of Box type + if self.debug: + logging.info("EnvFramestack logging enabled") + + def reset(self, seed=None, options=None): + random.seed(seed) + obs, info = self.custom_env.reset() + + # obs = np.array(obs) + + return obs, info + + def step(self, action): + observation, reward, terminated, truncated, info = self.custom_env.step(action) + + # observation = np.array(observation) + + # Debugger + if self.debug: + env_validation( + env_id=self.env_id, + env=self.custom_env, + obs=observation, + reward=float(reward), + terminated=terminated, + truncated=truncated, + info=info, + action=action, + ) + + return (observation, reward, terminated, truncated, info) diff --git a/src/lightning.py b/src/lightning.py new file mode 100644 index 0000000..5d74b36 --- /dev/null +++ b/src/lightning.py @@ -0,0 +1,34 @@ +import pytorch_lightning as pl +import torch +import torch.nn as nn + + +class SequenceLearner(pl.LightningModule): + def __init__(self, model, lr=0.005): + super().__init__() + self.model = model + self.lr = lr + + def training_step(self, batch, batch_idx): + x, y = batch + y_hat, _ = self.model.forward(x) + y_hat = y_hat.view_as(y) + loss = nn.MSELoss()(y_hat, y) + self.log("train_loss", loss, prog_bar=True) + return {"loss": loss} + + def validation_step(self, batch, batch_idx): + x, y = batch + y_hat, _ = self.model.forward(x) + y_hat = y_hat.view_as(y) + loss = nn.MSELoss()(y_hat, y) + + self.log("val_loss", loss, prog_bar=True) + return loss + + def test_step(self, batch, batch_idx): + # Here we just reuse the validation_step for testing + return self.validation_step(batch, batch_idx) + + def configure_optimizers(self): + return torch.optim.Adam(self.model.parameters(), lr=self.lr) diff --git a/src/misc/conversion.py b/src/misc/conversion.py new file mode 100644 index 0000000..96a360f --- /dev/null +++ b/src/misc/conversion.py @@ -0,0 +1,18 @@ +import os +from pathlib import Path + +current_path = "." + +for child in Path(current_path).iterdir(): + if child.is_dir(): + # Get prefix of the directory + prefix = child.name.split(sep="_")[0] + + if prefix.isupper(): + # Print out the name + print(f"{child.name}") + + # Replace the prefix with consistent naming + new_name = child.name.replace(prefix, prefix.lower(), 1) + + os.rename(f"{current_path}/{child.name}", f"{current_path}/{new_name}") diff --git a/src/models.py b/src/models.py new file mode 100644 index 0000000..6599993 --- /dev/null +++ b/src/models.py @@ -0,0 +1,203 @@ +import torch +from ncps.torch import CfC as torch_CfC +from ncps.wirings import AutoNCP +from ray.rllib.models.modelv2 import ModelV2 +from ray.rllib.models.preprocessors import get_preprocessor +from ray.rllib.models.torch.recurrent_net import RecurrentNetwork as TorchRNN +from ray.rllib.models.torch.torch_modelv2 import TorchModelV2 +from ray.rllib.utils.annotations import override + + +class CustomTorchModelMlp(TorchModelV2, torch.nn.Module): + """Linear model for unit testing. + + Args: + TorchModelV2 (_type_): _description_ + torch (_type_): _description_ + """ + + def __init__( + self, + obs_space, + action_space, + num_outputs, + model_config, + name, + ): + TorchModelV2.__init__( + self, + obs_space, + action_space, + num_outputs, + model_config, + name, + ) + torch.nn.Module.__init__(self) + + # Input space + in_features = 1 + for dim in obs_space.shape: + in_features = in_features * dim + + self.input = torch.nn.Linear(in_features=in_features, out_features=64) + + # Hidden layers + self.linear1 = torch.nn.Linear(in_features=64, out_features=64) + self.linear2 = torch.nn.Linear(in_features=64, out_features=64) + + # Activations + self.relu1 = torch.nn.ReLU() + self.relu2 = torch.nn.ReLU() + + # Heads + self.action = torch.nn.Linear(in_features=64, out_features=num_outputs) + self.value = torch.nn.Linear(in_features=64, out_features=1) + + def forward(self, input_dict, state, seq_lens): + # Backbone + x = self.input(input_dict["obs_flat"]) + x = self.linear1(x) + x = self.relu1(x) + x = self.linear2(x) + x = self.relu2(x) + + action_space = self.action(x) + self.value_critic = self.value(x) + + return action_space, state + + def value_function(self): + return torch.reshape(self.value_critic, (-1,)) + + +class CustomTorchModelLstm(TorchRNN, torch.nn.Module): + def __init__( + self, + obs_space, + action_space, + num_outputs, + model_config, + name, + fc_size=64, + lstm_state_size=64, + ): + torch.nn.Module.__init__(self) + super().__init__(obs_space, action_space, num_outputs, model_config, name) + + self.obs_size = get_preprocessor(obs_space)(obs_space).size + self.fc_size = fc_size + self.lstm_state_size = lstm_state_size + + # Build the Module from fc + LSTM + 2xfc (action + value outs). + self.fc1 = torch.nn.Linear(self.obs_size, self.fc_size) + self.lstm = torch.nn.LSTM( + self.fc_size, + self.lstm_state_size, + batch_first=True, + ) + self.relu1 = torch.nn.ReLU() + self.action_branch = torch.nn.Linear(self.lstm_state_size, num_outputs) + self.value_branch = torch.nn.Linear(self.lstm_state_size, 1) + + # Holds the current "base" output (before logits layer). + self._features = None + + @override(ModelV2) + def get_initial_state(self): + # `h` and `c` need to be shape (I) + h = self.fc1.weight.new(1, self.lstm_state_size).zero_().squeeze(0) + c = self.fc1.weight.new(1, self.lstm_state_size).zero_().squeeze(0) + hc = [h, c] + + return hc + + @override(ModelV2) + def value_function(self): + assert self._features is not None, "must call forward() first" + return torch.reshape(self.value_branch(self._features), [-1]) + + @override(TorchRNN) + def forward_rnn(self, inputs, state, seq_lens): + """ + `inputs` (B x T x I) + `state` (B x I) + + We need to format `state` to (T x B x I) for processing. + + Returns the resulting outputs as a sequence (B x T x ...). + Values are stored in self._cur_value in simple (B) shape (where B + contains both the B and T dims!). + + Returns: + NN Outputs (B x T x ...) as sequence. + The state batches as a List of two items (c- and h-states). + """ + + # Format inputs + hx = torch.unsqueeze(state[0], 0) + cx = torch.unsqueeze(state[1], 0) + + # Forward prop + x = self.fc1(inputs) + x = self.relu1(x) + x, [h, c] = self.lstm(x, [hx, cx]) + + # Format variables + self._features = x + action_out = self.action_branch(x) # (B x T x I) + h_out = torch.squeeze(h, 0) # (B x I) + c_out = torch.squeeze(c, 0) # (B x I) + + return action_out, [h_out, c_out] + + +class CustomTorchModelCfc(TorchRNN, torch.nn.Module): + def __init__( + self, + obs_space, + action_space, + num_outputs, + model_config, + name, + ): + TorchModelV2.__init__( + self, + obs_space, + action_space, + num_outputs, + model_config, + name, + ) + torch.nn.Module.__init__(self) + + self.cell_size = 64 + + # Body + wiring = AutoNCP(units=64, output_size=32) + self.body = torch_CfC(obs_space.shape[0], wiring) + + # Activations + self.relu1 = torch.nn.ReLU() + + # Heads + self.action = torch.nn.Linear(in_features=32, out_features=num_outputs) + self.value = torch.nn.Linear(in_features=32, out_features=1) + + @override(TorchRNN) + def forward_rnn(self, inputs, state, seq_lens): + # Pass into body + x, hx = self.body(input=inputs, hx=state[0]) + x = self.relu1(x) + + # Output heads + actor_value = self.action(x) + self.critic_value = self.value(x) + + return actor_value, [hx] + + @override(ModelV2) + def get_initial_state(self): + return [torch.zeros(self.cell_size)] + + def value_function(self): + return torch.reshape(self.critic_value, (-1,)) diff --git a/src/tests/README.md b/src/tests/README.md new file mode 100644 index 0000000..b77fbe7 --- /dev/null +++ b/src/tests/README.md @@ -0,0 +1,2 @@ +# Tests +Tests should include both unit testing as well as integration testing. Prior to developing a feature, the tests should be written to verify that the function behaves as expected. Once the verification function has been written, the function to perform the task should be written. diff --git a/src/tests/__init__.py b/src/tests/__init__.py new file mode 100644 index 0000000..44245fa --- /dev/null +++ b/src/tests/__init__.py @@ -0,0 +1,3 @@ +""" +.. include:: README.md +""" diff --git a/src/tests/basic_test.py b/src/tests/basic_test.py new file mode 100644 index 0000000..cd15efb --- /dev/null +++ b/src/tests/basic_test.py @@ -0,0 +1,6 @@ +import time + + +def test_hello_world(): + print("hello world") + time.sleep(1) diff --git a/src/utils.py b/src/utils.py new file mode 100644 index 0000000..c172fa7 --- /dev/null +++ b/src/utils.py @@ -0,0 +1,228 @@ +"""Common utils needed for repo.""" +import logging +import os +import tempfile +from io import TextIOWrapper +from typing import Callable +from typing import Union + +import gymnasium as gym +import numpy as np +import ray +from ray.rllib.algorithms.algorithm import Algorithm +from ray.tune.logger import UnifiedLogger + + +def ray_stats(context): + """This function prints out relevant statistics that will help a developer + debug what is going on within ray clusters. + """ + + tempdir = os.getenv("TMPDIR", "None") + headnode = os.getenv("HEAD_NODE_ADDR", "None") + + # general info + print("-" * 100) + print("Ray Cluster Information".center(100)) + print("-" * 100) + print(f"Dashboard IP: {context.dashboard_url}") + print(f"Head node: {headnode}") + print(f"TMPDIR: '{tempdir}'") + print("Ray cluster resources = ", ray.cluster_resources()) + print("") + + # resources + nodes = len(ray.nodes()) + cpus = ray.cluster_resources().get("CPU", 0) + gpus = ray.cluster_resources().get("GPU", 0) + obj_store_memory = ray.cluster_resources().get("object_store_memory", 0) / 1e9 + memory = ray.cluster_resources().get("memory", 0) / 1e9 + + # logging + print("Resources") + print(f"Nodes: {nodes:4}") + print(f"CPUs: {cpus:4.0f}") + print(f"GPUs (Requested): {gpus:4.0f} Note: Cluster may not have any GPUs...") + print(f"Object Store Mem: {obj_store_memory:4.0f} GB") + print(f"Memory: {memory:4.0f} GB") + + +def save_checkpoint(result: dict, algorithm: Algorithm) -> str: + """Saves a checkpoint for an Algorithm. + + Args: + result (dict): A summary dict of the current algorithm. + algorithm (Algorithm): The RLLib algorithm to checkpoint. + + Returns: + str: The path to the checkpoint. + """ + # Results + print(f"episode_reward_mean: {result['episode_reward_mean']}") + + # Save model + checkpoint_dir = algorithm.save(checkpoint_dir=f"{algorithm.logdir}") + print(f"Checkpoint saved in directory {checkpoint_dir}") + return checkpoint_dir + + +def env_validation( + env_id: str, + env: gym.Env, + obs: np.ndarray, + reward: Union[int, float], + terminated: bool, + truncated: bool, + info: dict, + action: np.ndarray, +): + """Validation function for environments. + + Args: + env_id (str): The environment Id. + env (gym.Env): The environment object. + obs (np.ndarray): Sample observation from environment. + reward (Union[int, float]): Sample reward from environment. + terminated (bool): Sample termination from environment. + truncated (bool): Sample truncation from environment. + info (dict): Sample info dict from environment. + action (np.ndarray): Sample action from environment. + + Raises: + ValueError: Raises error if any samples from environment are invalid. + """ + check1 = np.any(np.isnan(obs)) + check2 = np.any(np.isinf(obs)) + check3 = np.any(np.isnan(action)) + check4 = np.any(np.isinf(action)) + check5 = np.any(np.isnan(reward)) + check6 = np.any(np.isinf(reward)) + check7 = np.any(np.isnan(terminated)) + check8 = np.any(np.isinf(terminated)) + check9 = np.isnan(truncated) + check10 = np.isinf(truncated) + check11 = not isinstance(reward, (int, float)) + check12 = not isinstance(terminated, bool) + check13 = not isinstance(truncated, bool) + check14 = not isinstance(info, dict) + check15 = not env.observation_space.contains(obs) + check16 = not env.action_space.contains(action) + + print_state = False + + if ( + check1 + or check2 + or check3 + or check4 + or check5 + or check6 + or check7 + or check8 + or check9 + or check10 + ): + logging.error("NaN/Inf detected in the environment!") + print_state = True + + if check11 | check12 | check13 | check14: + logging.error("Invalid type detected in environment!") + print_state = True + + if check15: + logging.error( + f"Obs not valid range | obs: {obs}, obs_range: {env.observation_space}" + ) + + if check16: + logging.error( + f"Action not valid range | action: {action}, obs_range: {env.action_space}" + ) + + if print_state: + logging.error(f"environment: {env_id}") + logging.error(f"obs: {obs}") + logging.error(f"reward: {reward}") + logging.error(f"terminated: {terminated}") + logging.error(f"truncated: {truncated}") + logging.error(f"info: {info}") + logging.error(f"action: {action}") + + if ( + check1 + or check2 + or check3 + or check4 + or check5 + or check6 + or check7 + or check8 + or check9 + or check10 + or check11 + or check12 + or check13 + or check14 + or check15 + or check16 + ): + raise ValueError("Invalid values detected in environment!") + + +def custom_log_creator(custom_path: str, custom_str: str) -> Callable: + """Custom logger for RLLib. + + Args: + custom_path (str): Path to custom log. + custom_str (str): String of custom log. + + Returns: + Callable: Reference to custom logger. + """ + # Original time logging + # timestr = datetime.today().strftime("%Y-%m-%d_%H-%M-%S") + # logdir_prefix = "{}_{}".format(custom_str, timestr) + + # Custom string only + logdir_prefix = "{}_".format(custom_str) + + def logger_creator(config): + if not os.path.exists(custom_path): + os.makedirs(custom_path) + logdir = tempfile.mkdtemp(prefix=logdir_prefix, dir=custom_path) + return UnifiedLogger(config, logdir, loggers=None) + + return logger_creator + + +def log_algo_config( + config: dict, + file_ptr: TextIOWrapper, + tabs: int = 0, +): + """Designed to unpack the configuration into human readable attribtues. + + Args: + config (AlgorithmConfig): An algorithms configuration file + tabs (int, optional): _description_. Defaults to 0. + """ + + N_SPACING = 50 + N_INDENT = 4 + + # Iterate over all items + for key, val in config.items(): + # Found a nested dict + if isinstance(val, dict): + if len(val) == 0: + pass # no recursion into empty dict + else: + # Print out the key for the dict + file_ptr.write(f"{' '*N_INDENT*tabs}{str(key).ljust(N_SPACING,' ')}\n") + + # Print out the key and vals for the dict + log_algo_config(config=val, file_ptr=file_ptr, tabs=tabs + 1) + continue + + # Print out the key and value for dict entry + file_ptr.write(f"{' '*N_INDENT*tabs}{str(key).ljust(N_SPACING,'.')}| {val}\n") diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/assets/cartpole_checkpoint_cfc/.is_checkpoint b/tests/assets/cartpole_checkpoint_cfc/.is_checkpoint new file mode 100644 index 0000000..e69de29 diff --git a/tests/assets/cartpole_checkpoint_cfc/.tune_metadata b/tests/assets/cartpole_checkpoint_cfc/.tune_metadata new file mode 100644 index 0000000..d33a531 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_cfc/.tune_metadata differ diff --git a/tests/assets/cartpole_checkpoint_cfc/algorithm_state.pkl b/tests/assets/cartpole_checkpoint_cfc/algorithm_state.pkl new file mode 100644 index 0000000..0a15248 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_cfc/algorithm_state.pkl differ diff --git a/tests/assets/cartpole_checkpoint_cfc/policies/default_policy/policy_state.pkl b/tests/assets/cartpole_checkpoint_cfc/policies/default_policy/policy_state.pkl new file mode 100644 index 0000000..55ea11e Binary files /dev/null and b/tests/assets/cartpole_checkpoint_cfc/policies/default_policy/policy_state.pkl differ diff --git a/tests/assets/cartpole_checkpoint_cfc/policies/default_policy/rllib_checkpoint.json b/tests/assets/cartpole_checkpoint_cfc/policies/default_policy/rllib_checkpoint.json new file mode 100644 index 0000000..33cd144 --- /dev/null +++ b/tests/assets/cartpole_checkpoint_cfc/policies/default_policy/rllib_checkpoint.json @@ -0,0 +1 @@ +{"type": "Policy", "checkpoint_version": "1.1", "format": "cloudpickle", "state_file": "policy_state.pkl", "ray_version": "2.5.0", "ray_commit": "586c376e0769082cb5cfa1333e8264a5fa6b73ec"} diff --git a/tests/assets/cartpole_checkpoint_cfc/rllib_checkpoint.json b/tests/assets/cartpole_checkpoint_cfc/rllib_checkpoint.json new file mode 100644 index 0000000..648603f --- /dev/null +++ b/tests/assets/cartpole_checkpoint_cfc/rllib_checkpoint.json @@ -0,0 +1 @@ +{"type": "Algorithm", "checkpoint_version": "1.1", "format": "cloudpickle", "state_file": "save/cfc_CartPole-v1_1vvfjaur/checkpoint_000012/algorithm_state.pkl", "policy_ids": ["default_policy"], "ray_version": "2.5.0", "ray_commit": "586c376e0769082cb5cfa1333e8264a5fa6b73ec"} diff --git a/tests/assets/cartpole_checkpoint_lstm/.is_checkpoint b/tests/assets/cartpole_checkpoint_lstm/.is_checkpoint new file mode 100644 index 0000000..e69de29 diff --git a/tests/assets/cartpole_checkpoint_lstm/.tune_metadata b/tests/assets/cartpole_checkpoint_lstm/.tune_metadata new file mode 100644 index 0000000..3bf5669 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_lstm/.tune_metadata differ diff --git a/tests/assets/cartpole_checkpoint_lstm/algorithm_state.pkl b/tests/assets/cartpole_checkpoint_lstm/algorithm_state.pkl new file mode 100644 index 0000000..c3ba762 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_lstm/algorithm_state.pkl differ diff --git a/tests/assets/cartpole_checkpoint_lstm/policies/default_policy/policy_state.pkl b/tests/assets/cartpole_checkpoint_lstm/policies/default_policy/policy_state.pkl new file mode 100644 index 0000000..e9c1fc8 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_lstm/policies/default_policy/policy_state.pkl differ diff --git a/tests/assets/cartpole_checkpoint_lstm/policies/default_policy/rllib_checkpoint.json b/tests/assets/cartpole_checkpoint_lstm/policies/default_policy/rllib_checkpoint.json new file mode 100644 index 0000000..33cd144 --- /dev/null +++ b/tests/assets/cartpole_checkpoint_lstm/policies/default_policy/rllib_checkpoint.json @@ -0,0 +1 @@ +{"type": "Policy", "checkpoint_version": "1.1", "format": "cloudpickle", "state_file": "policy_state.pkl", "ray_version": "2.5.0", "ray_commit": "586c376e0769082cb5cfa1333e8264a5fa6b73ec"} diff --git a/tests/assets/cartpole_checkpoint_lstm/rllib_checkpoint.json b/tests/assets/cartpole_checkpoint_lstm/rllib_checkpoint.json new file mode 100644 index 0000000..91d9c5c --- /dev/null +++ b/tests/assets/cartpole_checkpoint_lstm/rllib_checkpoint.json @@ -0,0 +1 @@ +{"type": "Algorithm", "checkpoint_version": "1.1", "format": "cloudpickle", "state_file": "save/lstm_CartPole-v1_oypaat3v/checkpoint_000041/algorithm_state.pkl", "policy_ids": ["default_policy"], "ray_version": "2.5.0", "ray_commit": "586c376e0769082cb5cfa1333e8264a5fa6b73ec"} diff --git a/tests/assets/cartpole_checkpoint_mlp/.is_checkpoint b/tests/assets/cartpole_checkpoint_mlp/.is_checkpoint new file mode 100644 index 0000000..e69de29 diff --git a/tests/assets/cartpole_checkpoint_mlp/.tune_metadata b/tests/assets/cartpole_checkpoint_mlp/.tune_metadata new file mode 100644 index 0000000..31f90e0 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_mlp/.tune_metadata differ diff --git a/tests/assets/cartpole_checkpoint_mlp/algorithm_state.pkl b/tests/assets/cartpole_checkpoint_mlp/algorithm_state.pkl new file mode 100644 index 0000000..92521a8 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_mlp/algorithm_state.pkl differ diff --git a/tests/assets/cartpole_checkpoint_mlp/policies/default_policy/policy_state.pkl b/tests/assets/cartpole_checkpoint_mlp/policies/default_policy/policy_state.pkl new file mode 100644 index 0000000..2002e36 Binary files /dev/null and b/tests/assets/cartpole_checkpoint_mlp/policies/default_policy/policy_state.pkl differ diff --git a/tests/assets/cartpole_checkpoint_mlp/policies/default_policy/rllib_checkpoint.json b/tests/assets/cartpole_checkpoint_mlp/policies/default_policy/rllib_checkpoint.json new file mode 100644 index 0000000..33cd144 --- /dev/null +++ b/tests/assets/cartpole_checkpoint_mlp/policies/default_policy/rllib_checkpoint.json @@ -0,0 +1 @@ +{"type": "Policy", "checkpoint_version": "1.1", "format": "cloudpickle", "state_file": "policy_state.pkl", "ray_version": "2.5.0", "ray_commit": "586c376e0769082cb5cfa1333e8264a5fa6b73ec"} diff --git a/tests/assets/cartpole_checkpoint_mlp/rllib_checkpoint.json b/tests/assets/cartpole_checkpoint_mlp/rllib_checkpoint.json new file mode 100644 index 0000000..7b46a1d --- /dev/null +++ b/tests/assets/cartpole_checkpoint_mlp/rllib_checkpoint.json @@ -0,0 +1 @@ +{"type": "Algorithm", "checkpoint_version": "1.1", "format": "cloudpickle", "state_file": "save/mlp_CartPole-v1_y49rl8fx/checkpoint_000002/algorithm_state.pkl", "policy_ids": ["default_policy"], "ray_version": "2.5.0", "ray_commit": "586c376e0769082cb5cfa1333e8264a5fa6b73ec"} diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..6740608 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,14 @@ +def pytest_addoption(parser): + parser.addoption( + "--address", + action="store", + default=None, + help="The IP address of the Ray head. Format should be IP:PORT", + ) + + parser.addoption( + "--tmpdir", + action="store", + default="/tmp/ray", + help="Temporary directory to write files to.", + ) diff --git a/tests/environment_test.py b/tests/environment_test.py new file mode 100644 index 0000000..3d73fe7 --- /dev/null +++ b/tests/environment_test.py @@ -0,0 +1,173 @@ +"""Environment verification tests. +""" +import os + +import gymnasium as gym +from gymnasium.wrappers.frame_stack import FrameStack +from ray.rllib.utils import check_env + +from src.environments import EnvFramestack +from src.environments import install_mujoco_xml +from src.utils import env_validation + +# Ensure that standard Mujoco XML files are installed +install_mujoco_xml() + +# Only set this if you are on a server without visual rendering! +os.environ["SDL_VIDEODRIVER"] = "dummy" + +# List of environments to test +env_ids = [ + # -------------- Classic -------------- + "CartPole-v1", + "Pendulum-v1", + "Acrobot-v1", + # -------------- Box2d -------------- + # "BipedalWalker-v3", + # "CarRacing-v2", + # "LunarLander-v2", # broken at the moment + # -------------- Mujoco -------------- + "Ant-v4", + "HalfCheetah-v4", + "Hopper-v4", + "HumanoidStandup-v4", + "Humanoid-v4", + "InvertedDoublePendulum-v4", + "InvertedPendulum-v4", + "Reacher-v4", + "Swimmer-v4", + "Pusher-v4", + "Walker2d-v4", + # -------------- Atari -------------- + # "Pong-ramDeterministic-v4", + # "Breakout-ramDeterministic-v4", +] + + +def test_check_environments(): + """Check for some basic environments in the gym registry.""" + + # List of all available environments + avail_envs = gym.envs.registration.registry.keys() + + for env in env_ids: + assert env in avail_envs + + +def test_making_environment(): + """Test creating an environment and running several actions using the agent.""" + + for env_id in env_ids: + # create the environment + env = gym.make(env_id) # add render_mode="human" if desired + + # Generate observation + observation, info = env.reset() + + # Iterate a few times + for _ in range(1000): + # Randomly select an action + action = env.action_space.sample() + + # Take step in environment + observation, reward, terminated, truncated, info = env.step(action) + + # Check for valid observation values + env_validation( + env_id, + env, + observation, + float(reward), + terminated, + truncated, + info, + action, + ) + + # Reset when game terminates + if terminated or truncated: + observation, info = env.reset() + + # Render output to screen + # env.render() + + env.close() + + +def test_framestacking(): + """Test for framestacking of environments. Framestacking is necessary when historical information from environments is needed.""" + + for env_id in env_ids: + # create the environment + env = gym.make(env_id) # add render_mode="human" if desired + env = FrameStack(env, 10) # add framestacking + + # Generate observation + observation, info = env.reset() + + # Iterate a few times + for _ in range(1000): + # Randomly select an action + action = env.action_space.sample() + + # Take step in environment + observation, reward, terminated, truncated, info = env.step(action) + + # Check for valid observation values + env_validation( + env_id, + env, + observation, + float(reward), + terminated, + truncated, + info, + action, + ) + + # Reset when game terminates + if terminated or truncated: + observation, info = env.reset() + + # Render output to screen + # env.render() + + env.close() + + +def test_custom_environment(): + """Create a custom environment and verify that it can run.""" + + # Create a customized environment + env = EnvFramestack({"env_id": "CartPole-v1", "n_frames": 2}) + + check_env(env) + + # Generate observation + observation, info = env.reset() + + # Iterate a few times + for _ in range(1000): + # Randomly select an action + action = env.action_space.sample() + + # Take step in environment + observation, reward, terminated, done, info = env.step(action) + + # Check for valid observation values + env_validation( + env_id="CartpoleFramestack", + env=env, + obs=observation, + reward=float(reward), + terminated=terminated, + truncated=done, + info=info, + action=action, + ) + + # Reset when game terminates + if terminated or done: + observation, info = env.reset() + + env.close() diff --git a/tests/eval_test.py b/tests/eval_test.py new file mode 100644 index 0000000..7df94ee --- /dev/null +++ b/tests/eval_test.py @@ -0,0 +1,113 @@ +import gymnasium as gym +import numpy as np +import ray +from ray.rllib.models import ModelCatalog + +from src.environments import EnvFramestack +from src.models import CustomTorchModelCfc +from src.models import CustomTorchModelLstm +from src.models import CustomTorchModelMlp +from tests.train_test import get_ppo_config + + +class TrainerClass: + def __init__(self, framestacking: bool = False): + ray.shutdown() + ray.init() + + self.save_dir = "save" + + if framestacking: + self.env = EnvFramestack( + config={ + "env_id": "CartPole-v1", + "n_frames": 10, + }, + render_mode="human", + ) + else: + self.env = gym.make("CartPole-v1", render_mode="human") + + def train(self, stop_criteria): + pass + + def load(self, path: str, custom_model: str, env_id: str): + # Register custom models + ModelCatalog.register_custom_model("mlp", CustomTorchModelMlp) + ModelCatalog.register_custom_model("cfc", CustomTorchModelCfc) + ModelCatalog.register_custom_model("lstm", CustomTorchModelLstm) + + ppo_config = get_ppo_config(custom_model=custom_model, env_id=env_id) + + ppo_trainer = ppo_config.build() + ppo_trainer.restore(path) + + self.agent = ppo_trainer + + def test(self): + """Test trained agent for a single episode. Return the episode reward""" + # instantiate env class + env = self.env + + # run until episode ends + episode_reward = 0 + terminated = False + obs, info = env.reset() + + # range(2) b/c h- and c-states of the LSTM. + previous_state = [np.zeros([64], np.float32) for _ in range(2)] + previous_action = 0 + previous_reward = 0 + + while not terminated: + action, state_out, _ = self.agent.compute_single_action( + observation=obs, + state=previous_state, + previous_action=previous_action, + previous_reward=previous_reward, + ) + obs, reward, terminated, truncated, info = env.step(action) + episode_reward += reward + + # Save previous state/action/reward + previous_state = state_out + previous_action = action + previous_reward = reward + + return episode_reward + + +def test_trainer_mlp(): + # Create a trainer + trainer = TrainerClass(framestacking=True) + + # Load saved + checkpoint_path = "tests/assets/cartpole_checkpoint_mlp" + trainer.load(path=checkpoint_path, custom_model="mlp", env_id="CartPole-v1") + + # Test loaded + trainer.test() + + +def test_trainer_cfc(): + # Create a trainer + trainer = TrainerClass(framestacking=False) + + # Load saved + checkpoint_path = "tests/assets/cartpole_checkpoint_cfc" + trainer.load(path=checkpoint_path, custom_model="cfc", env_id="CartPole-v1") + + # Test loaded + trainer.test() + + +def test_trainer_lstm(): + # Create a trainer + trainer = TrainerClass(framestacking=False) + + # Load saved + checkpoint_path = "tests/assets/cartpole_checkpoint_lstm" + trainer.load(path=checkpoint_path, custom_model="lstm", env_id="CartPole-v1") + + # Test loaded + trainer.test() diff --git a/tests/logging_test.py b/tests/logging_test.py new file mode 100644 index 0000000..d9eb0fd --- /dev/null +++ b/tests/logging_test.py @@ -0,0 +1,11 @@ +import logging + +LOGGER = logging.getLogger(__name__) + + +def test_eggs(): + LOGGER.info("info") + LOGGER.warning("warning") + LOGGER.error("error") + LOGGER.critical("critical") + assert True diff --git a/tests/solve_test.py b/tests/solve_test.py new file mode 100644 index 0000000..3de6a31 --- /dev/null +++ b/tests/solve_test.py @@ -0,0 +1,70 @@ +import ray +from ray import air +from ray import tune +from ray.rllib.models import ModelCatalog + +from src.environments import install_mujoco_xml +from src.models import CustomTorchModelMlp +from src.utils import ray_stats +from tests.utils_test import get_ppo_config + +# Install Mujoco XML files +install_mujoco_xml() + + +def run_solver( + address: str, + tmpdir: str, + custom_model: str, + envs: dict, + save_path: str = "save/solve/", +): + """Runs the training algorithm until the environment is solved. This is complicated by the fact that environments are randomized meaning the terminal reward can vary. + + In order to determine whether an algorithm has `solved` an environment we are using the state-of-the art benchmarks as defined by [**Tianshou**](https://github.com/ChenDRAG/mujoco-benchmark?tab=readme-ov-file). + """ + + context = ray.init(address=address, _temp_dir=tmpdir, ignore_reinit_error=True) + ray_stats(context) + + ModelCatalog.register_custom_model("mlp", CustomTorchModelMlp) + + try: + for env_id, reward_threshold in envs.items(): + ppo_config = get_ppo_config( + custom_model=custom_model, + env_id=env_id, + train_batch_strat="train_batch_size", + train_batch_size=1000, + num_sgd_iter=10, + ) + + config = ppo_config + + tuner = tune.Tuner( + "PPO", + run_config=air.RunConfig( + storage_path=save_path, + name=f"{custom_model}_{env_id}", + stop={"episode_reward_mean": reward_threshold}, + ), + param_space=config, + ) + + tuner.fit() + + except Exception as e: + raise ValueError(e) + finally: + ray.shutdown() + + +def test_solve_cartpole(request): + # Get the address and tempdir from user input + address = request.config.getoption("--address") + tmpdir = request.config.getoption("--tmpdir") + + # Environments with their corresponding reward thresholds + envs = {"CartPole-v1": 400} + + run_solver(address, tmpdir, custom_model="mlp", envs=envs) diff --git a/tests/speed_test.py b/tests/speed_test.py new file mode 100644 index 0000000..a53a1e2 --- /dev/null +++ b/tests/speed_test.py @@ -0,0 +1,103 @@ +import os + +import ray +from ray.rllib.models import ModelCatalog +from rich import print + +from src.environments import install_mujoco_xml +from src.models import CustomTorchModelMlp +from src.utils import custom_log_creator +from src.utils import ray_stats +from tests.utils_test import get_ppo_config + +# Install Mujoco XML files +install_mujoco_xml() + +# Specify environments to use +env_ids = [ + # -------------- Classic -------------- + "CartPole-v1", + "Pendulum-v1", + "Acrobot-v1", + # -------------- Mujoco -------------- + # benchmarks: https://github.com/ChenDRAG/mujoco-benchmark?tab=readme-ov-file + "Ant-v4", + "HalfCheetah-v4", + "Hopper-v4", + "HumanoidStandup-v4", # will produce NaNs if train_batch_size is too low + "Humanoid-v4", + "InvertedDoublePendulum-v4", + "InvertedPendulum-v4", + "Reacher-v4", + "Swimmer-v4", + "Pusher-v4", + "Walker2d-v4", +] + + +def run_training( + address: str, + tmpdir: str, + custom_model: str = "mlp", + train_batch_per_cpu: int = 1000, + num_sgd_iter: int = 0, + epochs: int = 1, + save_path: str = "save/speed/", +): + """Run a training iteration using the custom network model provided.""" + context = ray.init(address=address, _temp_dir=tmpdir, ignore_reinit_error=True) + ray_stats(context) + + # Register custom models + ModelCatalog.register_custom_model("mlp", CustomTorchModelMlp) + + try: + for env_id in env_ids: + ppo_config = get_ppo_config( + custom_model=custom_model, + env_id=env_id, + train_batch_strat="train_batch_per_cpu", + train_batch_per_cpu=train_batch_per_cpu, + num_sgd_iter=num_sgd_iter, + ) + + # Generate a trainer + ppo_trainer = ppo_config.build( + logger_creator=custom_log_creator( + custom_path=save_path, + custom_str=f"{custom_model}_{env_id}", + ) + ) + + # Train for iterations + for _ in range(epochs): + results = ppo_trainer.train() + + ppo_trainer.stop() + + except Exception as e: + raise ValueError(e) + finally: + ray.shutdown() + + print("-" * 90) + print("Results:") + print( + f"[bold red]num_env_steps_sampled_throughput_per_sec: {results['num_env_steps_sampled_throughput_per_sec']}" + ) + print("-" * 90) + + +def test_custom_option(request): + # Get the address and tempdir from user input + address = request.config.getoption("--address") + tmpdir = request.config.getoption("--tmpdir") + python_path = os.environ["PYTHONPATH"] + + # Display input commands + print(f"Address: {address}") + print(f"Temp Dir: {tmpdir}") + print(f"PYTHONPATH: {python_path}") + + # Run the scaling test + run_training(address=address, tmpdir=tmpdir) diff --git a/tests/syndeo-node-4-test-speed.sh b/tests/syndeo-node-4-test-speed.sh new file mode 100644 index 0000000..91c3c67 --- /dev/null +++ b/tests/syndeo-node-4-test-speed.sh @@ -0,0 +1,93 @@ +#!/bin/bash + +########################################################################################## +# +# USAGE: sbatch .sh +# +# DESCRIPTION: Runs container on multi-node GPU cluster. This must be run using +# [Syndeo](https://github.com/mit-ll/Syndeo) +# +# OPTIONS: --exclusive: sets hardware to be exclusive to this job +# --job-name: name of the job +# --output: output file name +# --cpus-per-task: number of cpus set per task +# --nodes: number of nodes to assign to this job +# --ntasks: number of parallel tasks allowed +# (should match --nodes) +# --ntasks-per-node: number of tasks to assign per node +# --time: maximum time before killing job +# "days-hours:min:secs" +# --constraint: type of hardware to use +# --partition: type of partition used +# --gres: gpu resource request +# +# AUTHOR: William Li, william.li@ll.mit.edu +# COMPANY: MIT Lincoln Laboratory +# VERSION: 1.0 +# CREATED: 08/07/2023 +########################################################################################## + +#SBATCH --exclusive +#SBATCH --job-name rl_benchmarks_speed +#SBATCH --output logs/rl_benchmarks-gaia-node-4-%j.log +#SBATCH --cpus-per-task=40 +#SBATCH --nodes=4 +#SBATCH --ntasks=4 +#SBATCH --ntasks-per-node=1 +#SBATCH --time 0-02:00:00 +#SBATCH --partition=gaia +#SBATCH --distribution=nopack + + +########################################################################################## +# User Config +########################################################################################## +# Host Config +HOST_WORKING_DIR="/state/partition1/user/$USER" +HOST_RAY_TMPDIR="$HOST_WORKING_DIR/tmp" +HOST_SAVE="$HOME/projects/rl_benchmarks/save/speed" + +# Singualrity Config +export SINGULARITY_TMPDIR="$HOST_RAY_TMPDIR" # directory used by Apptainer/Singularity + +# Container Config +CONTAINER_SRC_PATH="containers/rl_benchmarks.sif" +CONTAINER_TGT_PATH="$HOST_WORKING_DIR/ray_container.sif" +CONTAINER_RAY_TMP="/domi/ray_tmp" +CONTAINER_SAVE="/domi/rl_benchmarks/save/speed" + +source src/scripts/setup_ray_head.sh \ + --tmpdir=$HOST_RAY_TMPDIR \ + --container_src=$CONTAINER_SRC_PATH \ + --container_tgt=$CONTAINER_TGT_PATH \ + --container_ray_tmp=$CONTAINER_RAY_TMP + +source src/scripts/setup_ray_workers.sh \ + --tmpdir=$HOST_RAY_TMPDIR \ + --gpus=0 \ + --index=1 \ + --container_src=$CONTAINER_SRC_PATH \ + --container_tgt=$CONTAINER_TGT_PATH + +########################################################################################## +# Container Run +########################################################################################## +# --userns: run container in new namespace allowing unpriviledged use +# --no-home: disable mounting the home directory +# --writable-tmpfs: enable write access within container, but do not save on exit +# --bind: bind host system paths to container paths + +PYTHON_SCRIPT="tests/speed_test.py" + +singularity run \ + --tmp-sandbox \ + --writable \ + --nv \ + --bind $RAY_TMPDIR:$CONTAINER_RAY_TMP,$HOST_SAVE:$CONTAINER_SAVE \ + $CONTAINER_TGT_PATH \ + $PYTHON_SCRIPT $HEAD_NODE_ADDR $RAY_TMPDIR + +########################################################################################## +# Cleanup +########################################################################################## +source src/scripts/shutdown_ray.sh diff --git a/tests/syndeo-node-4-test-train.sh b/tests/syndeo-node-4-test-train.sh new file mode 100644 index 0000000..0278d1a --- /dev/null +++ b/tests/syndeo-node-4-test-train.sh @@ -0,0 +1,92 @@ +#!/bin/bash + +########################################################################################## +# +# USAGE: sbatch .sh +# +# DESCRIPTION: Runs container on multi-node GPU cluster. This must be run using +# [Syndeo](https://github.com/mit-ll/Syndeo) +# +# OPTIONS: --exclusive: sets hardware to be exclusive to this job +# --job-name: name of the job +# --output: output file name +# --cpus-per-task: number of cpus set per task +# --nodes: number of nodes to assign to this job +# --ntasks: number of parallel tasks allowed +# (should match --nodes) +# --ntasks-per-node: number of tasks to assign per node +# --time: maximum time before killing job +# "days-hours:min:secs" +# --constraint: type of hardware to use +# --partition: type of partition used +# --gres: gpu resource request +# +# AUTHOR: William Li, william.li@ll.mit.edu +# COMPANY: MIT Lincoln Laboratory +# VERSION: 1.0 +# CREATED: 08/07/2023 +########################################################################################## + +#SBATCH --exclusive +#SBATCH --job-name rl_benchmarks_train +#SBATCH --output logs/rl_benchmarks-gaia-node-4-%j.log +#SBATCH --cpus-per-task=40 +#SBATCH --nodes=4 +#SBATCH --ntasks=4 +#SBATCH --ntasks-per-node=1 +#SBATCH --time 0-02:00:00 +#SBATCH --partition=gaia +#SBATCH --distribution=nopack + +########################################################################################## +# User Config +########################################################################################## +# Host Config +HOST_WORKING_DIR="/state/partition1/user/$USER" +HOST_RAY_TMPDIR="$HOST_WORKING_DIR/tmp" +HOST_SAVE="$HOME/projects/rl_benchmarks/save/train" + +# Singualrity Config +export SINGULARITY_TMPDIR="$HOST_RAY_TMPDIR" # directory used by Apptainer/Singularity + +# Container Config +CONTAINER_SRC_PATH="containers/rl_benchmarks.sif" +CONTAINER_TGT_PATH="$HOST_WORKING_DIR/ray_container.sif" +CONTAINER_RAY_TMP="/domi/ray_tmp" +CONTAINER_SAVE="/domi/rl_benchmarks/save/train" + +source src/scripts/setup_ray_head.sh \ + --tmpdir=$HOST_RAY_TMPDIR \ + --container_src=$CONTAINER_SRC_PATH \ + --container_tgt=$CONTAINER_TGT_PATH \ + --container_ray_tmp=$CONTAINER_RAY_TMP + +source src/scripts/setup_ray_workers.sh \ + --tmpdir=$HOST_RAY_TMPDIR \ + --gpus=0 \ + --index=1 \ + --container_src=$CONTAINER_SRC_PATH \ + --container_tgt=$CONTAINER_TGT_PATH + +########################################################################################## +# Container Run +########################################################################################## +# --userns: run container in new namespace allowing unpriviledged use +# --no-home: disable mounting the home directory +# --writable-tmpfs: enable write access within container, but do not save on exit +# --bind: bind host system paths to container paths + +PYTHON_SCRIPT="tests/train_test.py" + +singularity run \ + --tmp-sandbox \ + --writable \ + --nv \ + --bind $RAY_TMPDIR:$CONTAINER_RAY_TMP,$HOST_SAVE:$CONTAINER_SAVE \ + $CONTAINER_TGT_PATH \ + $PYTHON_SCRIPT $HEAD_NODE_ADDR $RAY_TMPDIR + +########################################################################################## +# Cleanup +########################################################################################## +source src/scripts/shutdown_ray.sh diff --git a/tests/train_test.py b/tests/train_test.py new file mode 100644 index 0000000..f75b7e7 --- /dev/null +++ b/tests/train_test.py @@ -0,0 +1,139 @@ +import shutil + +import numpy as np +import ray +from ray.rllib.models import ModelCatalog + +from src.environments import install_mujoco_xml +from src.models import CustomTorchModelCfc +from src.models import CustomTorchModelLstm +from src.models import CustomTorchModelMlp +from src.utils import custom_log_creator +from src.utils import ray_stats +from src.utils import save_checkpoint +from tests.utils_test import get_ppo_config + + +# Install Mujoco XML files +install_mujoco_xml() + +# Specify environments to use +env_ids = [ + # -------------- Classic -------------- + "CartPole-v1", + "Pendulum-v1", + "Acrobot-v1", + # -------------- Mujoco -------------- + # benchmarks: https://github.com/ChenDRAG/mujoco-benchmark?tab=readme-ov-file + "Ant-v4", + "HalfCheetah-v4", + "Hopper-v4", + "HumanoidStandup-v4", # will produce NaNs if train_batch_size is too low + "Humanoid-v4", + "InvertedDoublePendulum-v4", + "InvertedPendulum-v4", + "Reacher-v4", + "Swimmer-v4", + "Pusher-v4", + "Walker2d-v4", + # -------------- Atari -------------- + # "Pong-ramDeterministic-v4", + # "Breakout-ramDeterministic-v4", +] + + +def run_training( + address: str, + tmpdir: str, + custom_model: str, + train_batch_size: int = 20000, + num_sgd_iter: int = 20, + epochs: int = 1, + sgd_minibatch_size: int = 2048, + save_path: str = "save/train", +): + """Runs a training iteration across all the environments. This is purely for testing purposes.""" + + context = ray.init(address=address, _temp_dir=tmpdir, ignore_reinit_error=True) + ray_stats(context) + + # Register custom models + ModelCatalog.register_custom_model("mlp", CustomTorchModelMlp) + ModelCatalog.register_custom_model("cfc", CustomTorchModelCfc) + ModelCatalog.register_custom_model("lstm", CustomTorchModelLstm) + + try: + for env_id in env_ids: + ppo_config = get_ppo_config( + custom_model=custom_model, + env_id=env_id, + train_batch_strat="train_batch_size", + train_batch_size=train_batch_size, + num_sgd_iter=num_sgd_iter, + sgd_minibatch_size=sgd_minibatch_size, + ) + + # Generate a trainer + ppo_trainer = ppo_config.build( + logger_creator=custom_log_creator( + custom_path=save_path, + custom_str=f"{custom_model}_{env_id}", + ) + ) + + # Initialize + checkpoint_dirs = [] + max_reward = -np.inf + + # Train for iterations + for _ in range(epochs): + result = ppo_trainer.train() + + # Check if reward is NaNs + if np.isnan(result["episode_reward_mean"]): + raise ValueError("NaNs found in reward") + + # Saving checkpoints during training + if result["episode_reward_mean"] > max_reward: + max_reward = result["episode_reward_mean"] + checkpoint_dir = save_checkpoint(result, ppo_trainer) + checkpoint_dirs.append(checkpoint_dir) + + # Delete checkpoints that are worse + if len(checkpoint_dirs) > 1: + checkpoint_dirs.pop() + + for delete_dir in checkpoint_dirs: + shutil.rmtree(delete_dir) + + ppo_trainer.evaluate() + ppo_trainer.stop() + + except Exception as e: + raise ValueError(e) + finally: + ray.shutdown() + + +def test_training_mlp(request): + # Get the address and tempdir from user input + address = request.config.getoption("--address") + tmpdir = request.config.getoption("--tmpdir") + + run_training(address, tmpdir, custom_model="mlp", epochs=1) + + +def test_training_cfc(request): + # Get the address and tempdir from user input + address = request.config.getoption("--address") + tmpdir = request.config.getoption("--tmpdir") + + run_training(address, tmpdir, custom_model="cfc", epochs=1) + + +def test_training_lstm(request): + # Get the address and tempdir from user input + address = request.config.getoption("--address") + tmpdir = request.config.getoption("--tmpdir") + + run_training(address, tmpdir, custom_model="lstm", epochs=1) diff --git a/tests/utils_test.py b/tests/utils_test.py new file mode 100644 index 0000000..c3c1fdb --- /dev/null +++ b/tests/utils_test.py @@ -0,0 +1,67 @@ +import ray +import torch +from ray.rllib.algorithms.ppo import PPOConfig + +from src.environments import EnvFramestack + + +def get_ppo_config( + custom_model: str, + env_id: str, + train_batch_strat: str = "train_batch_per_cpu", # "train_batch_per_cpu" or "train_batch_size" + train_batch_per_cpu: int = 1000, + train_batch_size: int = 20000, + num_sgd_iter: int = 0, + sgd_minibatch_size: int = 128, +): + # Determine how many CPUs are on Ray Cluster + n_cluster_cpus = int(ray.cluster_resources().get("CPU", 0)) + + # Determine strategy. "train_batch_per_cpu" is better for speed benchmarks whereas "train_batch_size" is better for training. + match train_batch_strat: + case "train_batch_size": + pass + case "train_batch_per_cpu": + train_batch_size = train_batch_per_cpu * int(n_cluster_cpus * 0.95) - 2 + case _: + raise ValueError("Invalid train batch strategy!") + + ppo_config = PPOConfig() + + # Configure environment + if custom_model in ["mlp"]: + ppo_config = ppo_config.environment( + env=EnvFramestack, + env_config={ + "env_id": env_id, + "n_frames": 10, + }, + ) + else: + ppo_config = ppo_config.environment(env=env_id) + + ppo_config = ppo_config.training( + grad_clip=40, + train_batch_size=train_batch_size, + sgd_minibatch_size=sgd_minibatch_size, + num_sgd_iter=num_sgd_iter, + model={"custom_model": custom_model, "max_seq_len": 10}, + ) + ppo_config = ppo_config.resources( + num_gpus=torch.cuda.device_count(), + placement_strategy="SPREAD", + ) + ppo_config = ppo_config.rollouts( + num_rollout_workers=int(0.95 * n_cluster_cpus) - 2, + num_envs_per_worker=1, + batch_mode="complete_episodes", + ) + ppo_config = ppo_config.framework("torch") + ppo_config = ppo_config.evaluation( + evaluation_parallel_to_training=False, + evaluation_interval=1, + evaluation_num_workers=1, + ) + # ppo_config = ppo_config.debugging(log_level="INFO") + + return ppo_config