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python3Packages.tsfresh: init at 0.17.0 #102455

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evax
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@evax evax commented Nov 2, 2020

Motivation for this change

Time Series Feature extraction based on scalable hypothesis tests

Things done
  • Tested using sandboxing (nix.useSandbox on NixOS, or option sandbox in nix.conf on non-NixOS linux)
  • Built on platform(s)
    • NixOS
    • macOS
    • other Linux distributions
  • Tested via one or more NixOS test(s) if existing and applicable for the change (look inside nixos/tests)
  • Tested compilation of all pkgs that depend on this change using nix-shell -p nixpkgs-review --run "nixpkgs-review wip"
  • Tested execution of all binary files (usually in ./result/bin/)
  • Determined the impact on package closure size (by running nix path-info -S before and after)
  • Ensured that relevant documentation is up to date
  • Fits CONTRIBUTING.md.

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Result of nixpkgs-review pr 102455 run on x86_64-darwin 1

2 packages failed to build:
  • python37Packages.tsfresh
  • python38Packages.tsfresh

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logs

Sourcing python-recompile-bytecode-hook.sh
Sourcing python-remove-tests-dir-hook
Sourcing python-catch-conflicts-hook.sh
Sourcing python-remove-bin-bytecode-hook.sh
Sourcing setuptools-build-hook
Using setuptoolsBuildPhase
Using setuptoolsShellHook
Sourcing pip-install-hook
Using pipInstallPhase
Sourcing python-imports-check-hook.sh
Using pythonImportsCheckPhase
Sourcing python-namespaces-hook
Sourcing setuptools-check-hook
Using setuptoolsCheckPhase
Sourcing pytest-check-hook
Using pytestCheckPhase
Removing setuptoolsCheckPhase
@nix { "action": "setPhase", "phase": "unpackPhase" }
unpacking sources
unpacking source archive /nix/store/0p40y8r58qg9k14qmmmbf4kzhf69chcc-tsfresh-0.17.0.tar.gz
source root is tsfresh-0.17.0
setting SOURCE_DATE_EPOCH to timestamp 1599685683 of file tsfresh-0.17.0/tsfresh.egg-info/top_level.txt
@nix { "action": "setPhase", "phase": "patchPhase" }
patching sources
@nix { "action": "setPhase", "phase": "configurePhase" }
configuring
no configure script, doing nothing
@nix { "action": "setPhase", "phase": "buildPhase" }
building
Executing setuptoolsBuildPhase
running bdist_wheel
running build
running build_py
creating build
creating build/lib
creating build/lib/tsfresh
copying tsfresh/__init__.py -> build/lib/tsfresh
copying tsfresh/defaults.py -> build/lib/tsfresh
creating build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/feature_calculators.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/__init__.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/extraction.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/settings.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/data.py -> build/lib/tsfresh/feature_extraction
creating build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/__init__.py -> build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/significance_tests.py -> build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/selection.py -> build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/relevance.py -> build/lib/tsfresh/feature_selection
creating build/lib/tsfresh/utilities
copying tsfresh/utilities/dataframe_functions.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/__init__.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/distribution.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/string_manipulation.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/profiling.py -> build/lib/tsfresh/utilities
creating build/lib/tsfresh/transformers
copying tsfresh/transformers/feature_selector.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/per_column_imputer.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/feature_augmenter.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/__init__.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/relevant_feature_augmenter.py -> build/lib/tsfresh/transformers
creating build/lib/tsfresh/examples
copying tsfresh/examples/robot_execution_failures.py -> build/lib/tsfresh/examples
copying tsfresh/examples/driftbif_simulation.py -> build/lib/tsfresh/examples
copying tsfresh/examples/__init__.py -> build/lib/tsfresh/examples
copying tsfresh/examples/har_dataset.py -> build/lib/tsfresh/examples
creating build/lib/tsfresh/scripts
copying tsfresh/scripts/test_timing.py -> build/lib/tsfresh/scripts
copying tsfresh/scripts/__init__.py -> build/lib/tsfresh/scripts
copying tsfresh/scripts/run_tsfresh.py -> build/lib/tsfresh/scripts
copying tsfresh/scripts/measure_execution_time.py -> build/lib/tsfresh/scripts
creating build/lib/tsfresh/convenience
copying tsfresh/convenience/relevant_extraction.py -> build/lib/tsfresh/convenience
copying tsfresh/convenience/__init__.py -> build/lib/tsfresh/convenience
copying tsfresh/convenience/bindings.py -> build/lib/tsfresh/convenience
installing to build/bdist.macosx-10.6-x86_64/wheel
running install
running install_lib
creating build/bdist.macosx-10.6-x86_64
creating build/bdist.macosx-10.6-x86_64/wheel
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/feature_calculators.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/extraction.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/settings.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/data.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/significance_tests.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/selection.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/relevance.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/dataframe_functions.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/distribution.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/string_manipulation.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/profiling.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/feature_selector.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/per_column_imputer.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/feature_augmenter.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/relevant_feature_augmenter.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/robot_execution_failures.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/driftbif_simulation.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/har_dataset.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/test_timing.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/run_tsfresh.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/measure_execution_time.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/defaults.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
copying build/lib/tsfresh/convenience/relevant_extraction.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
copying build/lib/tsfresh/convenience/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
copying build/lib/tsfresh/convenience/bindings.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
running install_egg_info
running egg_info
writing tsfresh.egg-info/PKG-INFO
writing dependency_links to tsfresh.egg-info/dependency_links.txt
writing requirements to tsfresh.egg-info/requires.txt
writing top-level names to tsfresh.egg-info/top_level.txt
reading manifest file 'tsfresh.egg-info/SOURCES.txt'
writing manifest file 'tsfresh.egg-info/SOURCES.txt'
Copying tsfresh.egg-info to build/bdist.macosx-10.6-x86_64/wheel/tsfresh-0.17.0-py3.8.egg-info
running install_scripts
adding license file "LICENSE.txt" (matched pattern "LICEN[CS]E*")
adding license file "AUTHORS.rst" (matched pattern "AUTHORS*")
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh-0.17.0.dist-info/WHEEL
creating 'dist/tsfresh-0.17.0-py2.py3-none-any.whl' and adding 'build/bdist.macosx-10.6-x86_64/wheel' to it
adding 'tsfresh/__init__.py'
adding 'tsfresh/defaults.py'
adding 'tsfresh/convenience/__init__.py'
adding 'tsfresh/convenience/bindings.py'
adding 'tsfresh/convenience/relevant_extraction.py'
adding 'tsfresh/examples/__init__.py'
adding 'tsfresh/examples/driftbif_simulation.py'
adding 'tsfresh/examples/har_dataset.py'
adding 'tsfresh/examples/robot_execution_failures.py'
adding 'tsfresh/feature_extraction/__init__.py'
adding 'tsfresh/feature_extraction/data.py'
adding 'tsfresh/feature_extraction/extraction.py'
adding 'tsfresh/feature_extraction/feature_calculators.py'
adding 'tsfresh/feature_extraction/settings.py'
adding 'tsfresh/feature_selection/__init__.py'
adding 'tsfresh/feature_selection/relevance.py'
adding 'tsfresh/feature_selection/selection.py'
adding 'tsfresh/feature_selection/significance_tests.py'
adding 'tsfresh/scripts/__init__.py'
adding 'tsfresh/scripts/measure_execution_time.py'
adding 'tsfresh/scripts/run_tsfresh.py'
adding 'tsfresh/scripts/test_timing.py'
adding 'tsfresh/transformers/__init__.py'
adding 'tsfresh/transformers/feature_augmenter.py'
adding 'tsfresh/transformers/feature_selector.py'
adding 'tsfresh/transformers/per_column_imputer.py'
adding 'tsfresh/transformers/relevant_feature_augmenter.py'
adding 'tsfresh/utilities/__init__.py'
adding 'tsfresh/utilities/dataframe_functions.py'
adding 'tsfresh/utilities/distribution.py'
adding 'tsfresh/utilities/profiling.py'
adding 'tsfresh/utilities/string_manipulation.py'
adding 'tsfresh-0.17.0.dist-info/AUTHORS.rst'
adding 'tsfresh-0.17.0.dist-info/LICENSE.txt'
adding 'tsfresh-0.17.0.dist-info/METADATA'
adding 'tsfresh-0.17.0.dist-info/WHEEL'
adding 'tsfresh-0.17.0.dist-info/top_level.txt'
adding 'tsfresh-0.17.0.dist-info/RECORD'
removing build/bdist.macosx-10.6-x86_64/wheel
Finished executing setuptoolsBuildPhase
@nix { "action": "setPhase", "phase": "installPhase" }
installing
Executing pipInstallPhase
/private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0/dist /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
Processing ./tsfresh-0.17.0-py2.py3-none-any.whl
Requirement already satisfied: requests>=2.9.1 in /nix/store/9bjlqxggs3hpj6qv2hick3aqr1hccdq3-python3.8-requests-2.24.0/lib/python3.8/site-packages (from tsfresh==0.17.0) (2.24.0)
Requirement already satisfied: patsy>=0.4.1 in /nix/store/f5g9zlaj8rxzk8kv9vsbfiwin008g5hb-python3.8-patsy-0.5.1/lib/python3.8/site-packages (from tsfresh==0.17.0) (0.5.1)
Requirement already satisfied: dask[dataframe]>=2.9.0 in /nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages (from tsfresh==0.17.0) (2.25.0)
Requirement already satisfied: numpy>=1.15.1 in /nix/store/81lq51njrpys996nm4q2v35gzvblq2s4-python3.8-numpy-1.19.1/lib/python3.8/site-packages (from tsfresh==0.17.0) (1.19.1)
Requirement already satisfied: tqdm>=4.10.0 in /nix/store/6xbsadgxnz9zngdm6vir47p83yyz4bjz-python3.8-tqdm-4.48.2/lib/python3.8/site-packages (from tsfresh==0.17.0) (4.48.2)
Requirement already satisfied: pandas>=0.25.0 in /nix/store/pfgxdq9q5ycmqa1nxfwivy8jcxs28qds-python3.8-pandas-1.1.1/lib/python3.8/site-packages (from tsfresh==0.17.0) (1.1.1)
Requirement already satisfied: statsmodels>=0.9.0 in /nix/store/0pa9z6b467bnygww93zhijbbqmcy9gl1-python3.8-statsmodels-0.12.0/lib/python3.8/site-packages (from tsfresh==0.17.0) (0.12.0)
Requirement already satisfied: scipy>=1.2.0 in /nix/store/sw99d2fzch1m9gf3yps5wyjqdrwj4svy-python3.8-scipy-1.5.2/lib/python3.8/site-packages (from tsfresh==0.17.0) (1.5.2)
Requirement already satisfied: distributed>=2.11.0 in /nix/store/w070fpbbqgxaya47bjnkh9y2n1sjnf7h-python3.8-distributed-2.30.0/lib/python3.8/site-packages (from tsfresh==0.17.0) (2.30.0)
Requirement already satisfied: scikit-learn>=0.19.2 in /nix/store/x84ajlg8c5v3yjpscs3rmiwf27d7aai8-python3.8-scikit-learn-0.23.2/lib/python3.8/site-packages (from tsfresh==0.17.0) (0.23.2)
Requirement already satisfied: certifi>=2017.4.17 in /nix/store/q3kd93dvmc6dl81xxf973fmfqxdmkm9a-python3.8-certifi-2020.6.20/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (2020.6.20)
Requirement already satisfied: chardet<4,>=3.0.2 in /nix/store/rycysdynf94n8qkrn77kyyhna4ql5gsi-python3.8-chardet-3.0.4/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (3.0.4)
Requirement already satisfied: idna<3,>=2.5 in /nix/store/gh2zhfglh81q72hb3d0pgypp5ri9ry30-python3.8-idna-2.10/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (2.10)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /nix/store/s0arqz0gfz0hr1ifysqzkg7z3cishgn2-python3.8-urllib3-1.25.10/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (1.25.10)
Requirement already satisfied: six in /nix/store/07714pzdaxq3w5nfwczrlp35vhl3a83j-python3.8-six-1.15.0/lib/python3.8/site-packages (from patsy>=0.4.1->tsfresh==0.17.0) (1.15.0)
Requirement already satisfied: pyyaml in /nix/store/256sqjn9yf2rk4nmhxg2hfj70cvr791k-python3.8-PyYAML-5.3.1/lib/python3.8/site-packages (from dask[dataframe]>=2.9.0->tsfresh==0.17.0) (5.3.1)
Requirement already satisfied: fsspec>=0.6.0; extra == "dataframe" in /nix/store/6v1fdj57clk6crr4rlka51899zwmm0lb-python3.8-fsspec-0.8.3/lib/python3.8/site-packages (from dask[dataframe]>=2.9.0->tsfresh==0.17.0) (0.8.3)
Requirement already satisfied: partd>=0.3.10; extra == "dataframe" in /nix/store/6jda7ii5v74wab24yqnqwjfky75c7278-python3.8-partd-1.1.0/lib/python3.8/site-packages (from dask[dataframe]>=2.9.0->tsfresh==0.17.0) (1.1.0)
Requirement already satisfied: toolz>=0.8.2; extra == "dataframe" in /nix/store/y9n12x29ifxipxcwnklwyynhaz8bkb96-python3.8-toolz-0.11.1/lib/python3.8/site-packages (from dask[dataframe]>=2.9.0->tsfresh==0.17.0) (0.11.1)
Requirement already satisfied: pytz>=2017.2 in /nix/store/i3kpjlzlihhq44974hrzjiaiwjq2wm5b-python3.8-pytz-2020.1/lib/python3.8/site-packages (from pandas>=0.25.0->tsfresh==0.17.0) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /nix/store/y1c1yk8vkdmlkj07qfzgqzq1423rvpr9-python3.8-python-dateutil-2.8.1/lib/python3.8/site-packages (from pandas>=0.25.0->tsfresh==0.17.0) (2.8.1)
Requirement already satisfied: setuptools in /nix/store/0sm4pqw3l3zc69y70bp04kjf212mmgga-python3.8-setuptools-47.3.1/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (47.3.1.post20201007)
Requirement already satisfied: click>=6.6 in /nix/store/nl3bjxq438za1q4qg8qkfgkqpia9ibcq-python3.8-click-7.1.2/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (7.1.2)
Requirement already satisfied: msgpack>=0.6.0 in /nix/store/a22d9mdwp7n7g3szb51jcf710d9sh3l9-python3.8-msgpack-1.0.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (1.0.0)
Requirement already satisfied: psutil>=5.0 in /nix/store/h5zcai2pcqrlpfkx26alz72sp4plb86x-python3.8-psutil-5.7.2/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (5.7.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /nix/store/cs7hikl016hyppzprxxxwxg5gpz2rmq3-python3.8-sortedcontainers-2.2.2/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (2.2.2)
Requirement already satisfied: tblib>=1.6.0 in /nix/store/jk20i0xxbszypy1qaxw2brlh3mwjkjvr-python3.8-tblib-1.7.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /nix/store/26x5kzyccm2lj1igi32xijjgkadx8ynk-python3.8-zict-2.0.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (2.0.0)
Requirement already satisfied: tornado>=6.0.3; python_version >= "3.8" in /nix/store/i2fq8di697q30ckfij11gcp2j084b6cw-python3.8-tornado-6.0.4/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (6.0.4)
Requirement already satisfied: cloudpickle>=1.5.0 in /nix/store/jnwzy2w6wdbb93cg9pgr3k0f424jywvh-python3.8-cloudpickle-1.5.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (1.5.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /nix/store/s9sxhm638vywgb2ynlfqvy0jfw6fpnv4-python3.8-threadpoolctl-2.1.0/lib/python3.8/site-packages (from scikit-learn>=0.19.2->tsfresh==0.17.0) (2.1.0)
Requirement already satisfied: joblib>=0.11 in /nix/store/r3m6nivgca4m44x5rf8lpzk1rfw922x4-python3.8-joblib-0.16.0/lib/python3.8/site-packages (from scikit-learn>=0.19.2->tsfresh==0.17.0) (0.16.0)
Requirement already satisfied: locket in /nix/store/4h6zl874wjzwsy43q5rw7h9m16qk81nb-python3.8-locket-0.2.0/lib/python3.8/site-packages (from partd>=0.3.10; extra == "dataframe"->dask[dataframe]>=2.9.0->tsfresh==0.17.0) (0.2.0)
Requirement already satisfied: heapdict in /nix/store/xp3mmg144dvsn7c8jvza2gh53n5q2bzq-python3.8-HeapDict-1.0.1/lib/python3.8/site-packages (from zict>=0.1.3->distributed>=2.11.0->tsfresh==0.17.0) (1.0.1)
Installing collected packages: tsfresh
Successfully installed tsfresh-0.17.0
/private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
Finished executing pipInstallPhase
@nix { "action": "setPhase", "phase": "fixupPhase" }
post-installation fixup
strip is /nix/store/1h9ivag16gyysxjgfwq5dfk8w6g246g7-cctools-binutils-darwin-949.0.1/bin/strip
stripping (with command strip and flags -S) in /nix/store/n8b27l0frc8jypxc7sglyk0ndiwgywcj-python3.8-tsfresh-0.17.0/lib 
patching script interpreter paths in /nix/store/n8b27l0frc8jypxc7sglyk0ndiwgywcj-python3.8-tsfresh-0.17.0
Executing pythonRemoveTestsDir
Finished executing pythonRemoveTestsDir
@nix { "action": "setPhase", "phase": "installCheckPhase" }
running install tests
no Makefile or custom buildPhase, doing nothing
@nix { "action": "setPhase", "phase": "pythonCatchConflictsPhase" }
pythonCatchConflictsPhase
@nix { "action": "setPhase", "phase": "pythonRemoveBinBytecodePhase" }
pythonRemoveBinBytecodePhase
@nix { "action": "setPhase", "phase": "pythonImportsCheckPhase" }
pythonImportsCheckPhase
Executing pythonImportsCheckPhase
@nix { "action": "setPhase", "phase": "pytestCheckPhase" }
pytestCheckPhase
Executing pytestCheckPhase
�[1m============================= test session starts ==============================�[0m
platform darwin -- Python 3.8.6, pytest-5.4.3, py-1.9.0, pluggy-0.13.1 -- /nix/store/65gmh01007csxmd6bbkvas8zkhlw0k7n-python3-3.8.6/bin/python3.8
cachedir: .pytest_cache
rootdir: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0, inifile: setup.cfg
plugins: cov-2.10.1, xdist-1.34.0, forked-1.3.0
�[1m
gw0 I / gw1 I / gw2 I / gw3 I�[0m�[1m
[gw0] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 I / gw2 I / gw3 I�[0m�[1m
[gw1] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 C / gw2 I / gw3 I�[0m�[1m
[gw2] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 C / gw2 C / gw3 I�[0m�[1m
[gw3] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 C / gw2 C / gw3 C�[0m�[1m
[gw0] Python 3.8.6 (default, Oct  7 2020, 10:16:29)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 C / gw2 C / gw3 C�[0m�[1m
[gw1] Python 3.8.6 (default, Oct  7 2020, 10:16:29)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 ok / gw2 C / gw3 C�[0m�[1m
[gw2] Python 3.8.6 (default, Oct  7 2020, 10:16:29)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 ok / gw2 ok / gw3 C�[0m�[1m
[gw3] Python 3.8.6 (default, Oct  7 2020, 10:16:29)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 ok / gw2 ok / gw3 ok�[0m�[1m
collecting 0 items / 1 error                                                   �[0m�[1m
collecting 0 items / 5 errors                                                  �[0m�[1m
collecting 0 items / 23 errors                                                 �[0m�[1m
collecting 0 items / 47 errors                                                 �[0m�[1m
collecting 0 items / 53 errors                                                 �[0m�[1m
collecting 0 items / 61 errors                                                 �[0m�[1m
gw0 ok / gw1 ok / gw2 [10] / gw3 ok�[0m�[1m
gw0 ok / gw1 [10] / gw2 [10] / gw3 ok�[0m�[1m
gw0 [10] / gw1 [10] / gw2 [10] / gw3 ok�[0m�[1m
gw0 [10] / gw1 [10] / gw2 [10] / gw3 [10]�[0m
scheduling tests via LoadScheduling

tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value3-False-0.2-expected3] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value2-True-0.2-expected2] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value1-False-0.1-expected1] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value0-True-0.1-expected0] 
[gw2]�[36m [ 10%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value2-True-0.2-expected2] 
[gw0]�[36m [ 20%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value0-True-0.1-expected0] 
[gw1]�[36m [ 30%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value1-False-0.1-expected1] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value6-False-0.2-expected6] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value4-True-0.2-expected4] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value5-False-0.2-expected5] 
[gw3]�[36m [ 40%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value3-False-0.2-expected3] 
[gw2]�[36m [ 50%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value6-False-0.2-expected6] 
[gw1]�[36m [ 60%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value5-False-0.2-expected5] 
[gw0]�[36m [ 70%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value4-True-0.2-expected4] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value8-False-0.05-expected8] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value9-False-0.2-expected9] 
[gw2]�[36m [ 80%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value8-False-0.05-expected8] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value7-True-0.05-expected7] 
[gw0]�[36m [ 90%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value9-False-0.2-expected9] 
[gw3]�[36m [100%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value7-True-0.05-expected7] 

==================================== ERRORS ====================================
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/feature_extraction/test_extraction.py ______�[0m
�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/feature_extraction/test_extraction.py ______�[0m
�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/feature_extraction/test_extraction.py ______�[0m
�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/feature_extraction/test_extraction.py ______�[0m
�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_extraction/test_feature_calculations.py _�[0m
�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_extraction/test_feature_calculations.py _�[0m
�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_extraction/test_settings.py _______�[0m
�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_extraction/test_settings.py _______�[0m
�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_extraction/test_settings.py _______�[0m
�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_extraction/test_settings.py _______�[0m
�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
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�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
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�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/utilities/test_distribution.py __________�[0m
�[1m�[31mtests/units/utilities/test_distribution.py�[0m:11: in <module>
    from tsfresh import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
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�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
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�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
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�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/utilities/test_distribution.py __________�[0m
�[1m�[31mtests/units/utilities/test_distribution.py�[0m:11: in <module>
    from tsfresh import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
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�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
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�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
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�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/utilities/test_distribution.py __________�[0m
�[1m�[31mtests/units/utilities/test_distribution.py�[0m:11: in <module>
    from tsfresh import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
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�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
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�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/utilities/test_distribution.py __________�[0m
�[1m�[31mtests/units/utilities/test_distribution.py�[0m:11: in <module>
    from tsfresh import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
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�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/q4h3cbmfg3j0sgsphny4m563y82b6gi6-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m

---------- coverage: platform darwin, python 3.8.6-final-0 -----------
Name                                                 Stmts   Miss Branch BrPart  Cover   Missing
------------------------------------------------------------------------------------------------
tsfresh/convenience/bindings.py                         25     25      6      0     0%   1-214
tsfresh/convenience/relevant_extraction.py              23     21     10      0     6%   7-190
tsfresh/defaults.py                                     20      0      0      0   100%
tsfresh/examples/__init__.py                             3      3      0      0     0%   6-8
tsfresh/feature_extraction/data.py                     163    157     88      0     2%   12-443
tsfresh/feature_extraction/extraction.py                75     67     40      0     7%   17-328
tsfresh/feature_extraction/feature_calculators.py      638    453    228      0    22%   83-86, 111-115, 142-158, 175, 190-201, 227-228, 243-245, 268-270, 289-293, 307-309, 322-324, 337-339, 353-356, 392-401, 440-459, 480-506, 523-525, 552-562, 580, 597-598, 615-616, 630, 644, 658, 672, 685-689, 703, 718-720, 735-737, 754, 767-769, 782-784, 797-798, 811-812, 826-827, 841-843, 857-858, 872-874, 893-901, 921-933, 958-961, 984-986, 1003-1008, 1033-1052, 1069-1158, 1186-1198, 1215-1225, 1243, 1265-1267, 1294-1316, 1335-1349, 1373-1402, 1428-1448, 1482-1489, 1523-1529, 1551-1561, 1583-1617, 1650-1666, 1679-1680, 1702-1721, 1763-1774, 1802-1818, 1833-1835, 1852-1857, 1871, 1885, 1900-1906, 1923, 1955-1974, 2004-2011, 2038-2064, 2089-2107, 2131-2140, 2157, 2173, 2202-2214
tsfresh/feature_extraction/settings.py                  65     65     40      0     0%   4-239
tsfresh/feature_selection/__init__.py                    1      1      0      0     0%   10
tsfresh/feature_selection/relevance.py                  87     87     36      0     0%   4-287
tsfresh/feature_selection/selection.py                  20     20      4      0     0%   4-151
tsfresh/feature_selection/significance_tests.py         70     70     22      0     0%   6-266
tsfresh/scripts/__init__.py                              0      0      0      0   100%
tsfresh/scripts/run_tsfresh.py                          45     45      6      0     0%   4-111
tsfresh/transformers/feature_augmenter.py               33     33      2      0     0%   5-214
tsfresh/transformers/feature_selector.py                36     36      8      0     0%   5-172
tsfresh/transformers/per_column_imputer.py              39     39     18      0     0%   5-111
tsfresh/transformers/relevant_feature_augmenter.py      74     74     14      0     0%   4-402
tsfresh/utilities/dataframe_functions.py               181    181     94      0     0%   4-645
tsfresh/utilities/distribution.py                      109    109     26      0     0%   4-456
tsfresh/utilities/string_manipulation.py                24     24     18      0     0%   5-70
------------------------------------------------------------------------------------------------
TOTAL                                                 1731   1510    660      0     9%

=========================== short test summary info ============================
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_distribution.py - TypeError: unsupported ope...
ERROR tests/units/utilities/test_distribution.py - TypeError: unsupported ope...
ERROR tests/units/utilities/test_distribution.py - TypeError: unsupported ope...
ERROR tests/units/utilities/test_distribution.py - TypeError: unsupported ope...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
�[31m======================== �[32m10 passed�[0m, �[31m�[1m68 errors�[0m�[31m in 8.88s�[0m�[31m =========================�[0m

@evax
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evax commented Nov 3, 2020

@SuperSandro2000 it looks like the problem comes from psutil, drawn in by the dask/distributed tests, so I'm disabling those tests on darwin.

@SuperSandro2000
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Fails to build on darwin:

Sourcing python-remove-tests-dir-hook
Sourcing python-catch-conflicts-hook.sh
Sourcing python-remove-bin-bytecode-hook.sh
Sourcing setuptools-build-hook
Using setuptoolsBuildPhase
Using setuptoolsShellHook
Sourcing pip-install-hook
Using pipInstallPhase
Sourcing python-imports-check-hook.sh
Using pythonImportsCheckPhase
Sourcing python-namespaces-hook
Sourcing setuptools-check-hook
Using setuptoolsCheckPhase
Sourcing pytest-check-hook
Using pytestCheckPhase
Removing setuptoolsCheckPhase
@nix { "action": "setPhase", "phase": "unpackPhase" }
unpacking sources
unpacking source archive /nix/store/0p40y8r58qg9k14qmmmbf4kzhf69chcc-tsfresh-0.17.0.tar.gz
source root is tsfresh-0.17.0
setting SOURCE_DATE_EPOCH to timestamp 1599685683 of file tsfresh-0.17.0/tsfresh.egg-info/top_level.txt
@nix { "action": "setPhase", "phase": "patchPhase" }
patching sources
@nix { "action": "setPhase", "phase": "configurePhase" }
configuring
no configure script, doing nothing
@nix { "action": "setPhase", "phase": "buildPhase" }
building
Executing setuptoolsBuildPhase
running bdist_wheel
running build
running build_py
creating build
creating build/lib
creating build/lib/tsfresh
copying tsfresh/__init__.py -> build/lib/tsfresh
copying tsfresh/defaults.py -> build/lib/tsfresh
creating build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/feature_calculators.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/__init__.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/extraction.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/settings.py -> build/lib/tsfresh/feature_extraction
copying tsfresh/feature_extraction/data.py -> build/lib/tsfresh/feature_extraction
creating build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/__init__.py -> build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/significance_tests.py -> build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/selection.py -> build/lib/tsfresh/feature_selection
copying tsfresh/feature_selection/relevance.py -> build/lib/tsfresh/feature_selection
creating build/lib/tsfresh/utilities
copying tsfresh/utilities/dataframe_functions.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/__init__.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/distribution.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/string_manipulation.py -> build/lib/tsfresh/utilities
copying tsfresh/utilities/profiling.py -> build/lib/tsfresh/utilities
creating build/lib/tsfresh/transformers
copying tsfresh/transformers/feature_selector.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/per_column_imputer.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/feature_augmenter.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/__init__.py -> build/lib/tsfresh/transformers
copying tsfresh/transformers/relevant_feature_augmenter.py -> build/lib/tsfresh/transformers
creating build/lib/tsfresh/examples
copying tsfresh/examples/robot_execution_failures.py -> build/lib/tsfresh/examples
copying tsfresh/examples/driftbif_simulation.py -> build/lib/tsfresh/examples
copying tsfresh/examples/__init__.py -> build/lib/tsfresh/examples
copying tsfresh/examples/har_dataset.py -> build/lib/tsfresh/examples
creating build/lib/tsfresh/scripts
copying tsfresh/scripts/test_timing.py -> build/lib/tsfresh/scripts
copying tsfresh/scripts/__init__.py -> build/lib/tsfresh/scripts
copying tsfresh/scripts/run_tsfresh.py -> build/lib/tsfresh/scripts
copying tsfresh/scripts/measure_execution_time.py -> build/lib/tsfresh/scripts
creating build/lib/tsfresh/convenience
copying tsfresh/convenience/relevant_extraction.py -> build/lib/tsfresh/convenience
copying tsfresh/convenience/__init__.py -> build/lib/tsfresh/convenience
copying tsfresh/convenience/bindings.py -> build/lib/tsfresh/convenience
installing to build/bdist.macosx-10.6-x86_64/wheel
running install
running install_lib
creating build/bdist.macosx-10.6-x86_64
creating build/bdist.macosx-10.6-x86_64/wheel
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/feature_calculators.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/extraction.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/settings.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/feature_extraction/data.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_extraction
copying build/lib/tsfresh/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/significance_tests.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/selection.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
copying build/lib/tsfresh/feature_selection/relevance.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/feature_selection
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/dataframe_functions.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/distribution.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/string_manipulation.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
copying build/lib/tsfresh/utilities/profiling.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/utilities
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/feature_selector.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/per_column_imputer.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/feature_augmenter.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
copying build/lib/tsfresh/transformers/relevant_feature_augmenter.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/transformers
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/robot_execution_failures.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/driftbif_simulation.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
copying build/lib/tsfresh/examples/har_dataset.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/examples
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/test_timing.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/run_tsfresh.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/scripts/measure_execution_time.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/scripts
copying build/lib/tsfresh/defaults.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
copying build/lib/tsfresh/convenience/relevant_extraction.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
copying build/lib/tsfresh/convenience/__init__.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
copying build/lib/tsfresh/convenience/bindings.py -> build/bdist.macosx-10.6-x86_64/wheel/tsfresh/convenience
running install_egg_info
running egg_info
writing tsfresh.egg-info/PKG-INFO
writing dependency_links to tsfresh.egg-info/dependency_links.txt
writing requirements to tsfresh.egg-info/requires.txt
writing top-level names to tsfresh.egg-info/top_level.txt
reading manifest file 'tsfresh.egg-info/SOURCES.txt'
writing manifest file 'tsfresh.egg-info/SOURCES.txt'
Copying tsfresh.egg-info to build/bdist.macosx-10.6-x86_64/wheel/tsfresh-0.17.0-py3.8.egg-info
running install_scripts
adding license file "LICENSE.txt" (matched pattern "LICEN[CS]E*")
adding license file "AUTHORS.rst" (matched pattern "AUTHORS*")
creating build/bdist.macosx-10.6-x86_64/wheel/tsfresh-0.17.0.dist-info/WHEEL
creating 'dist/tsfresh-0.17.0-py2.py3-none-any.whl' and adding 'build/bdist.macosx-10.6-x86_64/wheel' to it
adding 'tsfresh/__init__.py'
adding 'tsfresh/defaults.py'
adding 'tsfresh/convenience/__init__.py'
adding 'tsfresh/convenience/bindings.py'
adding 'tsfresh/convenience/relevant_extraction.py'
adding 'tsfresh/examples/__init__.py'
adding 'tsfresh/examples/driftbif_simulation.py'
adding 'tsfresh/examples/har_dataset.py'
adding 'tsfresh/examples/robot_execution_failures.py'
adding 'tsfresh/feature_extraction/__init__.py'
adding 'tsfresh/feature_extraction/data.py'
adding 'tsfresh/feature_extraction/extraction.py'
adding 'tsfresh/feature_extraction/feature_calculators.py'
adding 'tsfresh/feature_extraction/settings.py'
adding 'tsfresh/feature_selection/__init__.py'
adding 'tsfresh/feature_selection/relevance.py'
adding 'tsfresh/feature_selection/selection.py'
adding 'tsfresh/feature_selection/significance_tests.py'
adding 'tsfresh/scripts/__init__.py'
adding 'tsfresh/scripts/measure_execution_time.py'
adding 'tsfresh/scripts/run_tsfresh.py'
adding 'tsfresh/scripts/test_timing.py'
adding 'tsfresh/transformers/__init__.py'
adding 'tsfresh/transformers/feature_augmenter.py'
adding 'tsfresh/transformers/feature_selector.py'
adding 'tsfresh/transformers/per_column_imputer.py'
adding 'tsfresh/transformers/relevant_feature_augmenter.py'
adding 'tsfresh/utilities/__init__.py'
adding 'tsfresh/utilities/dataframe_functions.py'
adding 'tsfresh/utilities/distribution.py'
adding 'tsfresh/utilities/profiling.py'
adding 'tsfresh/utilities/string_manipulation.py'
adding 'tsfresh-0.17.0.dist-info/AUTHORS.rst'
adding 'tsfresh-0.17.0.dist-info/LICENSE.txt'
adding 'tsfresh-0.17.0.dist-info/METADATA'
adding 'tsfresh-0.17.0.dist-info/WHEEL'
adding 'tsfresh-0.17.0.dist-info/top_level.txt'
adding 'tsfresh-0.17.0.dist-info/RECORD'
removing build/bdist.macosx-10.6-x86_64/wheel
Finished executing setuptoolsBuildPhase
@nix { "action": "setPhase", "phase": "installPhase" }
installing
Executing pipInstallPhase
/private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0/dist /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[33mDEPRECATION: The -b/--build/--build-dir/--build-directory option is deprecated. pip 20.3 will remove support for this functionality. A possible replacement is use the TMPDIR/TEMP/TMP environment variable, possibly combined with --no-clean. You can find discussion regarding this at https://github.com/pypa/pip/issues/8333.�[0m
Processing ./tsfresh-0.17.0-py2.py3-none-any.whl
Requirement already satisfied: statsmodels>=0.9.0 in /nix/store/ryg4c0k9bcj4qi8n6pj8lsplaz5s8vcj-python3.8-statsmodels-0.12.1/lib/python3.8/site-packages (from tsfresh==0.17.0) (0.12.1)
Requirement already satisfied: scipy>=1.2.0 in /nix/store/hpa27xs8b4w70f2al6z2par4w7ay8m5v-python3.8-scipy-1.5.4/lib/python3.8/site-packages (from tsfresh==0.17.0) (1.5.4)
Requirement already satisfied: numpy>=1.15.1 in /nix/store/gailk3s0mbxldnx6gqrsjby6r38c84nk-python3.8-numpy-1.19.4/lib/python3.8/site-packages (from tsfresh==0.17.0) (1.19.4)
Requirement already satisfied: patsy>=0.4.1 in /nix/store/gm95frs5cx2vv8bh7lgziz4y81vpr4mw-python3.8-patsy-0.5.1/lib/python3.8/site-packages (from tsfresh==0.17.0) (0.5.1)
Requirement already satisfied: pandas>=0.25.0 in /nix/store/d6bkvgmbghqjjdq38yfqwzyrbqsx6r9x-python3.8-pandas-1.1.4/lib/python3.8/site-packages (from tsfresh==0.17.0) (1.1.4)
Requirement already satisfied: tqdm>=4.10.0 in /nix/store/dg92idv3yr9bg7ycwfvqbsfgziwzkgrz-python3.8-tqdm-4.48.2/lib/python3.8/site-packages (from tsfresh==0.17.0) (4.48.2)
Requirement already satisfied: distributed>=2.11.0 in /nix/store/l96w3zfw6nlz9rmm3qqyqnmk74rwmiww-python3.8-distributed-2.30.1/lib/python3.8/site-packages (from tsfresh==0.17.0) (2.30.1)
Requirement already satisfied: scikit-learn>=0.19.2 in /nix/store/8p909ip57yywr726qiw86i74242mqhvs-python3.8-scikit-learn-0.23.2/lib/python3.8/site-packages (from tsfresh==0.17.0) (0.23.2)
Requirement already satisfied: requests>=2.9.1 in /nix/store/xcdrqshd8h7mp48y9dfcpsm2ffg5mcqf-python3.8-requests-2.25.0/lib/python3.8/site-packages (from tsfresh==0.17.0) (2.25.0)
Requirement already satisfied: dask[dataframe]>=2.9.0 in /nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages (from tsfresh==0.17.0) (2.25.0)
Requirement already satisfied: six in /nix/store/999l0lg57gm06nqind35cf3877nni9rz-python3.8-six-1.15.0/lib/python3.8/site-packages (from patsy>=0.4.1->tsfresh==0.17.0) (1.15.0)
Requirement already satisfied: python-dateutil>=2.7.3 in /nix/store/4sjmy3fyzzs77w80rv0k3p3ji8f2iqjh-python3.8-python-dateutil-2.8.1/lib/python3.8/site-packages (from pandas>=0.25.0->tsfresh==0.17.0) (2.8.1)
Requirement already satisfied: pytz>=2017.2 in /nix/store/04684ii0rks36cjqrc6zxz3lwarn4nx3-python3.8-pytz-2020.1/lib/python3.8/site-packages (from pandas>=0.25.0->tsfresh==0.17.0) (2020.1)
Requirement already satisfied: tblib>=1.6.0 in /nix/store/7bb3gymj382a7la5923g2csm0i5hcl8p-python3.8-tblib-1.7.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (1.7.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /nix/store/c6jmy38xbf8jirqy89qvlwjkbjbi51ax-python3.8-sortedcontainers-2.2.2/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (2.2.2)
Requirement already satisfied: pyyaml in /nix/store/x87cy1p8x5i56r5gq11a70m2fqjhjviy-python3.8-PyYAML-5.3.1/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (5.3.1)
Requirement already satisfied: cloudpickle>=1.5.0 in /nix/store/w1w8vwymxfkakjbyjs64bl0r83hq97xl-python3.8-cloudpickle-1.5.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (1.5.0)
Requirement already satisfied: zict>=0.1.3 in /nix/store/3kbw0j99qw8a7lsz22ihf4fzb4i9bksg-python3.8-zict-2.0.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (2.0.0)
Requirement already satisfied: tornado>=6.0.3; python_version >= "3.8" in /nix/store/kz8xsj5vb3ikp51978fa7hmasg416q33-python3.8-tornado-6.0.4/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (6.0.4)
Requirement already satisfied: msgpack>=0.6.0 in /nix/store/5jw9smwl08hhjrzzjgysj7fhpzxkrawf-python3.8-msgpack-1.0.0/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (1.0.0)
Requirement already satisfied: psutil>=5.0 in /nix/store/ma57cqlj0q96fcahanis4sn3q889cq5p-python3.8-psutil-5.7.3/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (5.7.3)
Requirement already satisfied: toolz>=0.8.2 in /nix/store/sd0kmnvjdi82jdwwmmwlgrhylg82ja0w-python3.8-toolz-0.11.1/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (0.11.1)
Requirement already satisfied: click>=6.6 in /nix/store/hnm1kk4ryyn5xkdy7p2b5wlg8f26db7c-python3.8-click-7.1.2/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (7.1.2)
Requirement already satisfied: setuptools in /nix/store/rlifm9amhwgm89bdabbcd5zrky8m3wim-python3.8-setuptools-47.3.1/lib/python3.8/site-packages (from distributed>=2.11.0->tsfresh==0.17.0) (47.3.1.post0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /nix/store/36islhwyhprl4j23pkwhh2881ahk8cfi-python3.8-threadpoolctl-2.1.0/lib/python3.8/site-packages (from scikit-learn>=0.19.2->tsfresh==0.17.0) (2.1.0)
Requirement already satisfied: joblib>=0.11 in /nix/store/3fzgwhikgw1jbdg5vibchqlj8393436c-python3.8-joblib-0.16.0/lib/python3.8/site-packages (from scikit-learn>=0.19.2->tsfresh==0.17.0) (0.16.0)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /nix/store/rhff5vcpz84nmlkv86nkqndqavydj3ws-python3.8-urllib3-1.25.11/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (1.25.11)
Requirement already satisfied: certifi>=2017.4.17 in /nix/store/5hdr32a6gawyqa4qfhl8scn8cgpm6w3q-python3.8-certifi-2020.6.20/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (2020.6.20)
Requirement already satisfied: chardet<4,>=3.0.2 in /nix/store/krx5difnqxlhj950p5c4q64207ab88qp-python3.8-chardet-3.0.4/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (3.0.4)
Requirement already satisfied: idna<3,>=2.5 in /nix/store/6p5x5ndnw6cws5q1gvvpgk1hsdcnik6l-python3.8-idna-2.10/lib/python3.8/site-packages (from requests>=2.9.1->tsfresh==0.17.0) (2.10)
Requirement already satisfied: partd>=0.3.10; extra == "dataframe" in /nix/store/3g3r19hp40ab3pxcmjbly4ajppx3js16-python3.8-partd-1.1.0/lib/python3.8/site-packages (from dask[dataframe]>=2.9.0->tsfresh==0.17.0) (1.1.0)
Requirement already satisfied: fsspec>=0.6.0; extra == "dataframe" in /nix/store/1s062r33a6shyw9y6snimrwknpqgikch-python3.8-fsspec-0.8.3/lib/python3.8/site-packages (from dask[dataframe]>=2.9.0->tsfresh==0.17.0) (0.8.3)
Requirement already satisfied: heapdict in /nix/store/m9njjzifd7qfyvl4wp2i1yz49144aaf8-python3.8-HeapDict-1.0.1/lib/python3.8/site-packages (from zict>=0.1.3->distributed>=2.11.0->tsfresh==0.17.0) (1.0.1)
Requirement already satisfied: locket in /nix/store/30ym0bhyl8rdi9d8mhi79hxzf9jf2r9v-python3.8-locket-0.2.0/lib/python3.8/site-packages (from partd>=0.3.10; extra == "dataframe"->dask[dataframe]>=2.9.0->tsfresh==0.17.0) (0.2.0)
Installing collected packages: tsfresh
Successfully installed tsfresh-0.17.0
/private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
Finished executing pipInstallPhase
@nix { "action": "setPhase", "phase": "fixupPhase" }
post-installation fixup
strip is /nix/store/l5707pca91sq99fd5fq4x84302zssyjj-cctools-binutils-darwin-949.0.1/bin/strip
stripping (with command strip and flags -S) in /nix/store/2rl0lwd2pjhg51drfbg4qvnagcs6gw3y-python3.8-tsfresh-0.17.0/lib 
patching script interpreter paths in /nix/store/2rl0lwd2pjhg51drfbg4qvnagcs6gw3y-python3.8-tsfresh-0.17.0
Executing pythonRemoveTestsDir
Finished executing pythonRemoveTestsDir
@nix { "action": "setPhase", "phase": "installCheckPhase" }
running install tests
no Makefile or custom installCheckPhase, doing nothing
@nix { "action": "setPhase", "phase": "pythonCatchConflictsPhase" }
pythonCatchConflictsPhase
@nix { "action": "setPhase", "phase": "pythonRemoveBinBytecodePhase" }
pythonRemoveBinBytecodePhase
@nix { "action": "setPhase", "phase": "pythonImportsCheckPhase" }
pythonImportsCheckPhase
Executing pythonImportsCheckPhase
@nix { "action": "setPhase", "phase": "pytestCheckPhase" }
pytestCheckPhase
Executing pytestCheckPhase
�[1m============================= test session starts ==============================�[0m
platform darwin -- Python 3.8.6, pytest-5.4.3, py-1.9.0, pluggy-0.13.1 -- /nix/store/0mabx9absir73mmijrsv0dsyvyya463r-python3-3.8.6/bin/python3.8
cachedir: .pytest_cache
rootdir: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0, inifile: setup.cfg
plugins: cov-2.10.1, xdist-1.34.0, forked-1.3.0
�[1m
gw0 I / gw1 I / gw2 I / gw3 I�[0m�[1m
[gw0] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 I / gw2 I / gw3 I�[0m�[1m
[gw1] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 C / gw2 I / gw3 I�[0m�[1m
[gw2] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 C / gw2 C / gw3 I�[0m�[1m
[gw3] darwin Python 3.8.6 cwd: /private/tmp/nix-build-python3.8-tsfresh-0.17.0.drv-0/tsfresh-0.17.0
�[0m�[1m
gw0 C / gw1 C / gw2 C / gw3 C�[0m�[1m
[gw0] Python 3.8.6 (default, Nov 18 2020, 23:37:51)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 C / gw2 C / gw3 C�[0m�[1m
[gw1] Python 3.8.6 (default, Nov 18 2020, 23:37:51)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 ok / gw2 C / gw3 C�[0m�[1m
[gw2] Python 3.8.6 (default, Nov 18 2020, 23:37:51)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 ok / gw2 ok / gw3 C�[0m�[1m
[gw3] Python 3.8.6 (default, Nov 18 2020, 23:37:51)  -- [Clang 7.1.0 (tags/RELEASE_710/final)]
�[0m�[1m
gw0 ok / gw1 ok / gw2 ok / gw3 ok�[0m�[1m
collecting 0 items / 1 error                                                   �[0m�[1m
collecting 0 items / 5 errors                                                  �[0m�[1m
collecting 0 items / 20 errors                                                 �[0m�[1m
collecting 0 items / 36 errors                                                 �[0m�[1m
collecting 0 items / 52 errors                                                 �[0m�[1m
collecting 0 items / 57 errors                                                 �[0m�[1m
gw0 ok / gw1 [10] / gw2 ok / gw3 ok�[0m�[1m
gw0 [10] / gw1 [10] / gw2 ok / gw3 ok�[0m�[1m
gw0 [10] / gw1 [10] / gw2 ok / gw3 [10]�[0m�[1m
gw0 [10] / gw1 [10] / gw2 [10] / gw3 [10]�[0m
scheduling tests via LoadScheduling

tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value2-True-0.2-expected2] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value1-False-0.1-expected1] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value0-True-0.1-expected0] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value3-False-0.2-expected3] 
[gw0]�[36m [ 10%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value0-True-0.1-expected0] 
[gw1]�[36m [ 20%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value1-False-0.1-expected1] 
[gw3]�[36m [ 30%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value3-False-0.2-expected3] 
[gw2]�[36m [ 40%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value2-True-0.2-expected2] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value4-True-0.2-expected4] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value5-False-0.2-expected5] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value7-True-0.05-expected7] 
[gw0]�[36m [ 50%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value4-True-0.2-expected4] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value6-False-0.2-expected6] 
[gw1]�[36m [ 60%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value5-False-0.2-expected5] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value8-False-0.05-expected8] 
tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value9-False-0.2-expected9] 
[gw3]�[36m [ 70%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value7-True-0.05-expected7] 
[gw2]�[36m [ 80%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value6-False-0.2-expected6] 
[gw1]�[36m [ 90%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value9-False-0.2-expected9] 
[gw0]�[36m [100%] �[0m�[32mPASSED�[0m tests/units/feature_selection/test_fdr_control.py::test_fdr_control[p_value8-False-0.05-expected8] 

==================================== ERRORS ====================================
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_________ ERROR collecting tests/units/feature_extraction/test_data.py _________�[0m
�[1m�[31mtests/units/feature_extraction/test_data.py�[0m:5: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/feature_extraction/test_extraction.py ______�[0m
�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/feature_extraction/test_extraction.py ______�[0m
�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_extraction.py�[0m:13: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
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�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
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�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
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�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
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�[1m�[31mtests/units/feature_extraction/test_feature_calculations.py�[0m:15: in <module>
    from tsfresh.examples.driftbif_simulation import velocity
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
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    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
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�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
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�[1m�[31mtests/units/feature_extraction/test_settings.py�[0m:8: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m________ ERROR collecting tests/units/feature_selection/test_checks.py _________�[0m
�[1m�[31mtests/units/feature_selection/test_checks.py�[0m:10: in <module>
    from tsfresh.feature_selection.significance_tests import target_real_feature_binary_test,\
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/feature_selection/test_feature_significance.py __�[0m
�[1m�[31mtests/units/feature_selection/test_feature_significance.py�[0m:8: in <module>
    from tsfresh.feature_selection.relevance import calculate_relevance_table
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_relevance.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_relevance.py�[0m:11: in <module>
    from tsfresh.feature_selection.relevance import infer_ml_task, calculate_relevance_table, combine_relevance_tables, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_______ ERROR collecting tests/units/feature_selection/test_selection.py _______�[0m
�[1m�[31mtests/units/feature_selection/test_selection.py�[0m:9: in <module>
    from tsfresh.feature_selection.selection import select_features
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m__ ERROR collecting tests/units/feature_selection/test_significance_tests.py ___�[0m
�[1m�[31mtests/units/feature_selection/test_significance_tests.py�[0m:9: in <module>
    from tsfresh.feature_selection.significance_tests import target_binary_feature_binary_test, \
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m___________ ERROR collecting tests/units/scripts/test_run_tsfresh.py ___________�[0m
�[1m�[31mtests/units/scripts/test_run_tsfresh.py�[0m:8: in <module>
    from tsfresh.scripts import run_tsfresh
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_feature_augmenter.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_augmenter.py�[0m:7: in <module>
    from tsfresh.feature_extraction.settings import ComprehensiveFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/transformers/test_feature_selector.py ______�[0m
�[1m�[31mtests/units/transformers/test_feature_selector.py�[0m:11: in <module>
    from tsfresh.transformers.feature_selector import FeatureSelector
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/transformers/test_per_column_imputer.py _____�[0m
�[1m�[31mtests/units/transformers/test_per_column_imputer.py�[0m:15: in <module>
    from tsfresh.transformers.per_column_imputer import PerColumnImputer
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_ ERROR collecting tests/units/transformers/test_relevant_feature_augmenter.py _�[0m
�[1m�[31mtests/units/transformers/test_relevant_feature_augmenter.py�[0m:14: in <module>
    from tsfresh.feature_extraction import MinimalFCParameters
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
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�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
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�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
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�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m______ ERROR collecting tests/units/utilities/test_dataframe_functions.py ______�[0m
�[1m�[31mtests/units/utilities/test_dataframe_functions.py�[0m:11: in <module>
    from tsfresh.utilities import dataframe_functions
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
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�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m
�[31m�[1m_____ ERROR collecting tests/units/utilities/test_string_manipilations.py ______�[0m
�[1m�[31mtests/units/utilities/test_string_manipilations.py�[0m:5: in <module>
    from tsfresh.utilities.string_manipulation import convert_to_output_format
�[1m�[31mtsfresh/__init__.py�[0m:28: in <module>
    from tsfresh.convenience.relevant_extraction import extract_relevant_features  # noqa: E402
�[1m�[31mtsfresh/convenience/relevant_extraction.py�[0m:6: in <module>
    from tsfresh.feature_extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/__init__.py�[0m:5: in <module>
    from tsfresh.feature_extraction.extraction import extract_features
�[1m�[31mtsfresh/feature_extraction/extraction.py�[0m:16: in <module>
    from tsfresh.feature_extraction.data import to_tsdata
�[1m�[31mtsfresh/feature_extraction/data.py�[0m:7: in <module>
    from dask import dataframe as dd
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/__init__.py�[0m:13: in <module>
    from .io import (
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/__init__.py�[0m:13: in <module>
    from .csv import read_csv, to_csv, read_table, read_fwf
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:387: in <module>
    AUTO_BLOCKSIZE = auto_blocksize(TOTAL_MEM, CPU_COUNT)
�[1m�[31m/nix/store/3mhb2p9281dvm0skqsv146l1jvi99wfz-python3.8-dask-2.25.0/lib/python3.8/site-packages/dask/dataframe/io/csv.py�[0m:377: in auto_blocksize
    blocksize = int(total_memory // cpu_count / memory_factor)
�[1m�[31mE   TypeError: unsupported operand type(s) for //: 'int' and 'NoneType'�[0m

---------- coverage: platform darwin, python 3.8.6-final-0 -----------
Name                                                 Stmts   Miss Branch BrPart  Cover   Missing
------------------------------------------------------------------------------------------------
tsfresh/convenience/bindings.py                         25     25      6      0     0%   1-214
tsfresh/convenience/relevant_extraction.py              23     21     10      0     6%   7-190
tsfresh/defaults.py                                     20      0      0      0   100%
tsfresh/examples/__init__.py                             3      3      0      0     0%   6-8
tsfresh/feature_extraction/data.py                     163    157     88      0     2%   12-443
tsfresh/feature_extraction/extraction.py                75     67     40      0     7%   17-328
tsfresh/feature_extraction/feature_calculators.py      638    453    228      0    22%   83-86, 111-115, 142-158, 175, 190-201, 227-228, 243-245, 268-270, 289-293, 307-309, 322-324, 337-339, 353-356, 392-401, 440-459, 480-506, 523-525, 552-562, 580, 597-598, 615-616, 630, 644, 658, 672, 685-689, 703, 718-720, 735-737, 754, 767-769, 782-784, 797-798, 811-812, 826-827, 841-843, 857-858, 872-874, 893-901, 921-933, 958-961, 984-986, 1003-1008, 1033-1052, 1069-1158, 1186-1198, 1215-1225, 1243, 1265-1267, 1294-1316, 1335-1349, 1373-1402, 1428-1448, 1482-1489, 1523-1529, 1551-1561, 1583-1617, 1650-1666, 1679-1680, 1702-1721, 1763-1774, 1802-1818, 1833-1835, 1852-1857, 1871, 1885, 1900-1906, 1923, 1955-1974, 2004-2011, 2038-2064, 2089-2107, 2131-2140, 2157, 2173, 2202-2214
tsfresh/feature_extraction/settings.py                  65     65     40      0     0%   4-239
tsfresh/feature_selection/__init__.py                    1      1      0      0     0%   10
tsfresh/feature_selection/relevance.py                  87     87     36      0     0%   4-287
tsfresh/feature_selection/selection.py                  20     20      4      0     0%   4-151
tsfresh/feature_selection/significance_tests.py         70     70     22      0     0%   6-266
tsfresh/scripts/__init__.py                              0      0      0      0   100%
tsfresh/scripts/run_tsfresh.py                          45     45      6      0     0%   4-111
tsfresh/transformers/feature_augmenter.py               33     33      2      0     0%   5-214
tsfresh/transformers/feature_selector.py                36     36      8      0     0%   5-172
tsfresh/transformers/per_column_imputer.py              39     39     18      0     0%   5-111
tsfresh/transformers/relevant_feature_augmenter.py      74     74     14      0     0%   4-402
tsfresh/utilities/dataframe_functions.py               181    181     94      0     0%   4-645
tsfresh/utilities/distribution.py                      109    109     26      0     0%   4-456
tsfresh/utilities/string_manipulation.py                24     24     18      0     0%   5-70
------------------------------------------------------------------------------------------------
TOTAL                                                 1731   1510    660      0     9%

=========================== short test summary info ============================
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_data.py - TypeError: unsupported op...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_extraction.py - TypeError: unsuppor...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_feature_calculations.py - TypeError...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_extraction/test_settings.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_checks.py - TypeError: unsupported o...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_feature_significance.py - TypeError:...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_relevance.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_selection.py - TypeError: unsupporte...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/feature_selection/test_significance_tests.py - TypeError: u...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/scripts/test_run_tsfresh.py - TypeError: unsupported operan...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_augmenter.py - TypeError: unsuppo...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_feature_selector.py - TypeError: unsuppor...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_per_column_imputer.py - TypeError: unsupp...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/transformers/test_relevant_feature_augmenter.py - TypeError...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_dataframe_functions.py - TypeError: unsuppor...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
ERROR tests/units/utilities/test_string_manipilations.py - TypeError: unsuppo...
�[31m======================== �[32m10 passed�[0m, �[31m�[1m64 errors�[0m�[31m in 8.49s�[0m�[31m =========================�[0m

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Result of nixpkgs-review pr 102455 run on x86_64-linux 1

2 packages built:
  • python37Packages.tsfresh
  • python38Packages.tsfresh

Comment on lines 40 to 44
] ++ (
stdenv.lib.optional
stdenv.isDarwin
"--ignore=tests/units/utilities/test_distribution.py"
);
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my preference

Suggested change
] ++ (
stdenv.lib.optional
stdenv.isDarwin
"--ignore=tests/units/utilities/test_distribution.py"
);
] ++ stdenv.lib.optionals stdenv.isDarwin [
"--ignore=tests/units/utilities/test_distribution.py"
];

distributed
];

meta = with stdenv.lib; {
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Suggested change
meta = with stdenv.lib; {
meta = with lib; {

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This is a semi-automatic executed nixpkgs-review with nixpkgs-review-checks extension. It is checked by a human on a best effort basis and does not build all packages (e.g. lumo, tensorflow or pytorch).
If you have any questions or problems please reach out to SuperSandro2000 on IRC.

Result of nixpkgs-review pr 102455 run on x86_64-linux 1

2 packages built:
  • python37Packages.tsfresh
  • python38Packages.tsfresh

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stale bot commented Jul 27, 2021

I marked this as stale due to inactivity. → More info

@stale stale bot added the 2.status: stale https://github.com/NixOS/nixpkgs/blob/master/.github/STALE-BOT.md label Jul 27, 2021
homepage = "https://github.com/blue-yonder/tsfresh";
license = licenses.mit;
maintainers = with maintainers; [ evax ];
platforms = platforms.unix;
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Suggested change
platforms = platforms.unix;

We no longer set this for buildPythonPackage except if it is not unix.

Comment on lines +38 to +43
pytestFlagsArray = [
"tests/"
"--ignore=tests/integrations"
] ++ lib.optionals stdenv.isDarwin [
"--ignore=tests/units/utilities/test_distribution.py"
];
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Please use the new pytestCheckHook flags.


checkInputs = [
pytestCheckHook
pytestcov
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Suggested change
pytestcov

@stale stale bot removed 2.status: stale https://github.com/NixOS/nixpkgs/blob/master/.github/STALE-BOT.md labels Aug 25, 2021
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stale bot commented Apr 18, 2022

I marked this as stale due to inactivity. → More info

@stale stale bot added the 2.status: stale https://github.com/NixOS/nixpkgs/blob/master/.github/STALE-BOT.md label Apr 18, 2022
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Closing due to inactivity from author.

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4 participants