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New release (#1027)
* prepare new release * react to numpy 1.20 * react to numpy 1.20
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.github/workflows/pytest.yml

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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Conda Install test dependencies
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- name: Conda Install test dependencies
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if: matrix.use-conda == true
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run: |
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# Miniconda is available in $CONDA env var
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$CONDA/bin/conda create -n testenv --yes pip wheel gxx_linux-64 gcc_linux-64 swig python=${{ matrix.python-version }}
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$CONDA/envs/testenv/bin/python3 -m pip install --upgrade pip
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$CONDA/envs/testenv/bin/pip3 install -e .[test]
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- name: Install test dependencies
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- name: Install test dependencies
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if: matrix.use-conda == false && matrix.use-dist == false
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run: |
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python -m pip install --upgrade pip
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if [[ `python -c 'import platform; print(platform.python_version())' | cut -d '.' -f 2` -eq 6 ]]; then
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# Numpy 1.20 dropped suppert for Python3.6
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pip install "numpy<=1.19"
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fi
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pip install -e .[test]
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sudo apt-get update
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sudo apt-get remove swig
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sudo apt-get install swig3.0
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sudo ln -s /usr/bin/swig3.0 /usr/bin/swig
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- name: Dist Install test dependencies
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- name: Dist Install test dependencies
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if: matrix.use-conda == false && matrix.use-dist == true
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run: |
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python -m pip install --upgrade pip

autosklearn/__init__.py

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sys.platform
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)
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if sys.version_info < (3, 5):
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if sys.version_info < (3, 6):
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raise ValueError(
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'Unsupported python version %s found. Auto-sklearn requires Python '
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'3.5 or higher.' % sys.version_info
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'3.6 or higher.' % sys.version_info
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)

autosklearn/__version__.py

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"""Version information."""
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# The following line *must* be the last in the module, exactly as formatted:
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__version__ = "0.11.1"
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__version__ = "0.12.0"

doc/releases.rst

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commit. From http://stackoverflow.com/questions/6482436/list-of-authors-in-git-since-a-given-commit
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git log 2e29eba.. --format="%aN <%aE>" --reverse | perl -e 'my %dedupe; while (<STDIN>) { print unless $dedupe{$_}++}'
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========
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Releases
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========
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Version 0.12.0
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==============
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* BREAKING: Auto-sklearn must now be guarded by ``__name__ == "__main__"`` due to the use of the
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``spawn`` multiprocessing context.
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* ADD #1026: Adds improved meta-data for Auto-sklearn 2.0 which results in strong improved
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performance.
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* MAINT #984 and #1008: Move to scikit-learn 0.23.X
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* MAINT #1004: Move from travis-ci to github actions.
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* MAINT 8b67af6: drop the requirement to the lockfile package.
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* FIX #990: Fixes a bug that made Auto-sklearn fail if there are missing values in a pandas
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DataFrame.
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* FIX #1007, #1012 and #1014: Log multiprocessing output via a new log server. Remove several
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potential deadlocks related to the joint use of multi-processing, multi-threading and logging.
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Contributors v0.12.0
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********************
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* Matthias Feurer
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* ROHIT AGARWAL
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* Francisco Rivera
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Version 0.11.1
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==============
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* FIX #1001: Fixes a bug which could make Auto-sklearn fail at random.
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* MAINT #1000: Introduce a minimal version for ``dask.distributed``.
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Contributors v0.11.1
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********************
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* Matthias Feurer
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Version 0.11.0
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==============
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