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Merge branch 'vorel99-add-pyproject-toml' into develop
chore: merge pyproject.toml changes
2 parents b13b0c8 + 8d8de62 commit 951b787

13 files changed

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‎.github/workflows/pull-request.yml‎

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- name: Install pip dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install -r requirements.txt
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python -m pip install -r requirements-dev.txt
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python -m pip install -r requirements-test.txt
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python -m pip install ".[dev,test]"
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- name: Install the package
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run: make install
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install -r requirements.txt
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python -m pip install -r requirements-dev.txt
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python -m pip install -r requirements-test.txt
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python -m pip install -r requirements-docs.txt
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python -m pip install ".[dev,test,docs]"
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- name: Install the package
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run: make install

‎.github/workflows/release-deprecated.yml‎

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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install -r requirements.txt
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python -m pip install -r requirements-dev.txt
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python -m pip install -r requirements-test.txt
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python -m pip install ".[dev,test]"
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- name: Install
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run: make install

‎.github/workflows/release.yml‎

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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install -r requirements.txt
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python -m pip install -r requirements-dev.txt
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python -m pip install -r requirements-test.txt
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python -m pip install ".[dev,test]"
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- name: Install
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run: make install

‎.github/workflows/tests.yml‎

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${{ runner.os }}-${{ matrix.pandas }}-pip-
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- run: |
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pip install --upgrade pip setuptools wheel
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pip install -r requirements.txt "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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pip install -r requirements-test.txt
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pip install ".[test]" "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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- run: echo "YDATA_PROFILING_NO_ANALYTICS=False" >> $GITHUB_ENV
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- run: make install
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${{ runner.os }}-${{ matrix.pandas }}-pip-
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- run: |
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pip install --upgrade pip setuptools wheel
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pip install -r requirements.txt "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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pip install -r requirements-test.txt
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pip install ".[test]" "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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echo "YDATA_PROFILING_NO_ANALYTICS=False" >> $GITHUB_ENV
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- run: make install
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${{ runner.os }}-${{ matrix.pandas }}-pip-
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- run: |
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pip install --upgrade pip setuptools wheel
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pip install -r requirements.txt "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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pip install -r requirements-test.txt
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pip install ".[test]" "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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- run: make install
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- run: make test_cov
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- run: codecov -F py${{ matrix.python-version }}-${{ matrix.os }}-${{ matrix.pandas }}-${{ matrix.numpy }}
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- run: |
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pip install --upgrade pip setuptools wheel
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pip install pytest-spark>=0.6.0 pyarrow==1.0.1 pyspark=="${{ matrix.spark }}"
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pip install -r requirements.txt
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pip install -r requirements-test.txt
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pip install ".[test]"
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pip install "${{ matrix.pandas }}" "${{ matrix.numpy }}"
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- if: ${{ matrix.spark != '3.0.1' }}
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run: echo "ARROW_PRE_0_15_IPC_FORMAT=1" >> $GITHUB_ENV
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- run: echo "SPARK_LOCAL_IP=127.0.0.1" >> $GITHUB_ENV
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- run: make install
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- run: make install-spark-ci
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- run: pip install -r requirements-spark.txt # Make sure the proper version of pandas is install after everything
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- run: pip install ".[spark]" # Make sure the proper version of pandas is install after everything
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- run: make test_spark
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‎Makefile‎

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twine check dist/*
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install:
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pip install -e .[notebook]
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pip install -e ".[notebook]"
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install-docs: install ### Installs regular and docs dependencies
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pip install -r requirements-docs.txt
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pip install -e ".[docs]"
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install-spark-ci:
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sudo apt-get update

‎docs/support-contribution/contribution_guidelines.md‎

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following commands:
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``` console
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pip install -r requirements-dev.txt
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pip install ".[dev]"
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pre-commit install --hook-type commit-msg --hook-type pre-commit
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```
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‎pyproject.toml‎

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[build-system]
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requires = ["setuptools"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "ydata-profiling"
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authors = [
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{name = "YData Labs Inc", email = "opensource@ydata.ai"},
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]
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description="Generate profile report for pandas DataFrame"
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readme = "README.md"
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requires-python=">=3., <3.13"
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keywords=["pandas", "data-science", "data-analysis", "python", "jupyter", "ipython"]
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license = {text = "MIT"}
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"Topic :: Software Development :: Build Tools",
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"License :: OSI Approved :: MIT License",
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"Environment :: Console",
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"Operating System :: OS Independent",
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"Intended Audience :: Science/Research",
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"Intended Audience :: Developers",
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"Intended Audience :: Financial and Insurance Industry",
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"Intended Audience :: Healthcare Industry",
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"Topic :: Scientific/Engineering",
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"Framework :: IPython",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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]
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dependencies = [
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"scipy>=1.4.1, <1.14",
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"pandas>1.1, <3.0, !=1.4.0",
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"matplotlib>=3.5, <=3.10",
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"pydantic>=2",
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"PyYAML>=5.0.0, <6.1",
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"jinja2>=2.11.1, <3.2",
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"visions[type_image_path]>=0.7.5, <0.7.7",
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"numpy>=1.16.0,<2.2",
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# Could be optional
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# Related to HTML report
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"htmlmin==0.1.12",
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# Correlations
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"phik>=0.11.1,<0.13",
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# Examples
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"requests>=2.24.0, <3",
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# Progress bar
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"tqdm>=4.48.2, <5",
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"seaborn>=0.10.1, <0.14",
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"multimethod>=1.4, <2",
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# metrics
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"statsmodels>=0.13.2, <1",
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# type checking
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"typeguard>=3, <5",
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"imagehash==4.3.1",
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"wordcloud>=1.9.3",
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"dacite>=1.8",
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"numba>=0.56.0, <1",
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]
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dynamic = ["version"]
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[project.optional-dependencies]
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# dependencies for development and testing
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dev = [
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"black>=20.8b1",
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"isort>=5.0.7",
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"pre-commit>=2.8.2",
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"virtualenv>=20.0.33",
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"twine",
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"wheel",
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"myst-parser>=0.18.1",
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"sphinx_rtd_theme>=0.4.3",
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"sphinx-autodoc-typehints>=1.10.3",
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"sphinx-multiversion>=0.2.3",
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"autodoc_pydantic",
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]
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# this provides the recommended pyspark and pyarrow versions for spark to work on pandas-profiling
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# note that if you are using pyspark 2.3 or 2.4 and pyarrow >= 0.15, you might need to
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# set ARROW_PRE_0_15_IPC_FORMAT=1 in your conf/spark-env.sh for toPandas functions to work properly
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spark = [
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"pyspark>=2.3.0",
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"pyarrow>=2.0.0",
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"pandas>1.1, <2, !=1.4.0",
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"numpy>=1.16.0,<1.24",
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"visions[type_image_path]==0.7.5",
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]
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test = [
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"pytest",
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"coverage>=6.5, <8",
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"codecov",
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"pytest-cov",
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"pytest-spark",
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"nbval",
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"pyarrow",
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"twine>=3.1.1",
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"kaggle",
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]
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notebook = [
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"jupyter>=1.0.0",
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"ipywidgets>=7.5.1",
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]
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docs = [
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"mkdocs>=1.6.0,<1.7.0",
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"mkdocs-material>=9.0.12,<10.0.0",
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"mkdocs-material-extensions>=1.1.1,<2.0.0",
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"mkdocs-table-reader-plugin<=2.2.0",
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"mike>=2.1.1,<2.2.0",
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"mkdocstrings[python]>=0.20.0,<1.0.0",
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"mkdocs-badges",
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]
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unicode= [
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"tangled-up-in-unicode==0.2.0",
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]
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[tool.setuptools.packages.find]
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where = ["src"]
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[tool.setuptools.package-data]
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ydata_profiling = ["py.typed"]
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[tool.setuptools]
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include-package-data = true
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[project.scripts]
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ydata_profiling = "ydata_profiling.controller.console:main"
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pandas_profiling = "ydata_profiling.controller.console:main"
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[project.urls]
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homepage = "https://github.com/ydataai/ydata-profiling"

‎requirements-dev.txt‎

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‎requirements-docs.txt‎

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‎requirements-spark.txt‎

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