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sideko sdk init
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‎.github/workflows/publish.yml‎

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# This workflow will publish the python package to PyPi on release
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# This requires you to have a secret PYPI_TOKEN saved in your github environment
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name: Publish to PyPi
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on:
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release:
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types: [published]
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jobs:
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publish:
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runs-on: ubuntu-latest
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steps:
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#----------------------------------------------
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# ----- checkout & setup python -----
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#----------------------------------------------
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- name: checkout repository
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uses: actions/checkout@v4
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- name: setup python
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uses: actions/setup-python@v5
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id: setup-python
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with:
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python-version: "3.8"
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#----------------------------------------------
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# ----- install & configure poetry -----
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#----------------------------------------------
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- name: install poetry
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uses: snok/install-poetry@v1
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with:
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virtualenvs-create: true
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virtualenvs-in-project: true
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virtualenvs-path: .venv
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installer-parallel: true
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#---------------------------------------------------
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# ----- load cached venv if cache exists -----
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#---------------------------------------------------
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- name: load cached venv
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id: cached-poetry-dependencies
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uses: actions/cache@v4
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with:
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path: .venv
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key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
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#---------------------------------------------------------------
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# ----- install dependencies if cache does not exist -----
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#---------------------------------------------------------------
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- name: install dependencies
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if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
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run: poetry install --no-interaction --no-root
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#-----------------------------------------------------------
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# ----- install your root project, if required -----
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#-----------------------------------------------------------
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- name: install project
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run: poetry install --no-interaction
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#------------------------------
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# ----- publish to pypi -----
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#------------------------------
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- name: build & publish
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run: |
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poetry publish --build --username __token__ --password=${{ secrets.PYPI_TOKEN }}

‎.github/workflows/run-tests.yml‎

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# This workflow will test the python package against Sideko's Mock Servers
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# Tests will run automatically on a push to `main` or a pull request event
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name: Run Pytest
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on:
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push:
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branches:
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- main
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pull_request: {}
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jobs:
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test:
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runs-on: ubuntu-latest
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steps:
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#----------------------------------------------
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# ----- checkout & setup python -----
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#----------------------------------------------
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- name: checkout repository
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uses: actions/checkout@v4
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- name: setup python
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uses: actions/setup-python@v5
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id: setup-python
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with:
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python-version: "3.8"
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#----------------------------------------------
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# ----- install & configure poetry -----
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#----------------------------------------------
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- name: install poetry
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uses: snok/install-poetry@v1
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with:
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version: 1.8.5
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virtualenvs-create: true
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virtualenvs-in-project: true
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virtualenvs-path: .venv
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installer-parallel: true
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#---------------------------------------------------
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# ----- load cached venv if cache exists -----
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#---------------------------------------------------
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- name: load cached venv
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id: cached-poetry-dependencies
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uses: actions/cache@v4
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with:
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path: .venv
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key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
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#---------------------------------------------------------------
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# ----- install dependencies if cache does not exist -----
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#---------------------------------------------------------------
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- name: install dependencies
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if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
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run: poetry install --no-interaction --no-root
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#-----------------------------------------------------------
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# ----- install your root project, if required -----
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#-----------------------------------------------------------
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- name: install project
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run: poetry install --no-interaction
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#------------------------------
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# ----- run pytest -----
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#------------------------------
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- name: run pytest
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run: |
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source .venv/bin/activate
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pytest -s
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#------------------------------
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# ----- run mypy -----
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#------------------------------
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- name: run mypy
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run: |
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source .venv/bin/activate
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mypy $(poetry version | cut -d' ' -f1)

‎.gitignore‎

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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develop-eggs/
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.eggs/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Environments
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.env
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.venv
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venv/
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env.bak/
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venv.bak/
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

‎.sdk.json‎

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{
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"id": "3c69697a-305a-4017-8e1f-e9b7f65be8a4"
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}

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