Created
May 10, 2022 14:27
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| name: nilearn | |
| channels: | |
| - conda-forge | |
| - defaults | |
| prefix: /usr/local/Caskroom/miniconda/base/envs/nilearn |
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| alabaster==0.7.12 | |
| astor==0.8.1 | |
| attrs==21.4.0 | |
| Babel==2.9.1 | |
| backports.entry-points-selectable==1.1.1 | |
| beautifulsoup4==4.10.0 | |
| bids-validator==1.9.2 | |
| black==21.12b0 | |
| certifi==2021.10.8 | |
| cfgv==3.3.1 | |
| charset-normalizer==2.0.7 | |
| ci-info==0.2.0 | |
| click==7.1.2 | |
| codecov==2.1.12 | |
| coverage==6.3.2 | |
| cycler==0.11.0 | |
| Cython==0.29.28 | |
| deeplabcut-docker==0.0.10a0 | |
| dipy==1.4.1 | |
| distlib==0.3.3 | |
| docker==5.0.3 | |
| docopt==0.6.2 | |
| docutils==0.17.1 | |
| etelemetry==0.3.0 | |
| execnet==1.9.0 | |
| filelock==3.4.0 | |
| flake8==4.0.1 | |
| fonttools==4.29.1 | |
| formulaic==0.2.4 | |
| h5py==3.6.0 | |
| identify==2.4.10 | |
| idna==3.3 | |
| imageio==2.16.1 | |
| imagesize==1.3.0 | |
| importlib-metadata==4.11.1 | |
| iniconfig==1.1.1 | |
| intel-openmp==2022.1.0 | |
| interface-meta==1.2.4 | |
| isodate==0.6.1 | |
| Jinja2==3.0.3 | |
| joblib==1.1.0 | |
| jsonschema==4.4.0 | |
| kaleido==0.2.1 | |
| kiwisolver==1.3.2 | |
| latexcodec==2.0.1 | |
| lxml==4.8.0 | |
| MarkupSafe==2.1.0 | |
| matplotlib==3.5.1 | |
| mccabe==0.6.1 | |
| memory-profiler==0.60.0 | |
| mkl==2022.1.0 | |
| mypy==0.790 | |
| mypy-extensions==0.4.3 | |
| networkx==2.7.1 | |
| -e git+https://github.com/ReproNim/neurodocker@664965c511d0fd65aab7c8c438bc052517acad17#egg=neurodocker | |
| nibabel==3.2.2 | |
| -e git+ssh://git@github.com/johnatl/nilearn.git@8b27bbb65f9fe021cb534794167d8c37e8bed713#egg=nilearn | |
| nipype==1.7.0 | |
| nitime==0.9 | |
| niworkflows==1.1.12 | |
| nodeenv==1.6.0 | |
| num2words==0.5.10 | |
| numpy==1.22.3 | |
| numpydoc==1.3.1 | |
| packaging==21.3 | |
| pandas==1.4.1 | |
| pathspec==0.9.0 | |
| patsy==0.5.2 | |
| pbr==5.8.0 | |
| Pillow==9.0.1 | |
| pip @ file:///usr/local/Cellar/python%403.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/ensurepip/_bundled/pip-22.0.4-py3-none-any.whl | |
| platformdirs==2.4.0 | |
| plotly==5.7.0 | |
| pluggy==1.0.0 | |
| pre-commit==2.17.0 | |
| protobuf==3.19.4 | |
| prov==2.0.0 | |
| psutil==5.9.0 | |
| py==1.11.0 | |
| pybids==0.14.0 | |
| pybtex==0.24.0 | |
| pybtex-docutils==1.0.1 | |
| pycodestyle==2.8.0 | |
| pycosat==0.6.3 | |
| pydata-sphinx-theme==0.8.0 | |
| pydot==1.4.2 | |
| pyflakes==2.4.0 | |
| Pygments==2.11.2 | |
| pyparsing==3.0.7 | |
| PyQt3D==5.15.5 | |
| PyQt5==5.15.6 | |
| PyQt5-sip==12.9.0 | |
| PyQtChart==5.15.5 | |
| PyQtDataVisualization==5.15.5 | |
| PyQtNetworkAuth==5.15.5 | |
| PyQtPurchasing==5.15.5 | |
| PyQtWebEngine==5.15.5 | |
| pyrsistent==0.18.1 | |
| pytest==7.0.1 | |
| pytest-cov==3.0.0 | |
| pytest-forked==1.4.0 | |
| pytest-reportlog==0.1.2 | |
| pytest-xdist==2.5.0 | |
| python-dateutil==2.8.2 | |
| pytz==2021.3 | |
| PyWavelets==1.2.0 | |
| PyYAML==6.0 | |
| qsiprep-container==0.15.3 | |
| rdflib==6.1.1 | |
| requests==2.26.0 | |
| ruamel.yaml==0.17.17 | |
| ruamel.yaml.clib==0.2.6 | |
| scikit-image==0.19.2 | |
| scikit-learn==1.0.2 | |
| scipy==1.8.0 | |
| seaborn==0.11.2 | |
| setuptools @ file:///usr/local/Cellar/python%403.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/ensurepip/_bundled/setuptools-60.10.0-py3-none-any.whl | |
| simplejson==3.17.6 | |
| six==1.16.0 | |
| snowballstemmer==2.2.0 | |
| soupsieve==2.3.1 | |
| Sphinx==4.4.0 | |
| sphinx-copybutton==0.5.0 | |
| sphinx-gallery==0.10.1 | |
| sphinxcontrib-apidoc==0.3.0 | |
| sphinxcontrib-applehelp==1.0.2 | |
| sphinxcontrib-bibtex==2.4.2 | |
| sphinxcontrib-devhelp==1.0.2 | |
| sphinxcontrib-htmlhelp==2.0.0 | |
| sphinxcontrib-jsmath==1.0.1 | |
| sphinxcontrib-qthelp==1.0.3 | |
| sphinxcontrib-serializinghtml==1.1.5 | |
| sphinxext-opengraph==0.6.3 | |
| SQLAlchemy==1.3.24 | |
| statsmodels==0.13.2 | |
| stevedore==3.5.0 | |
| svgutils==0.3.1 | |
| tbb==2021.6.0 | |
| templateflow==0.7.2 | |
| tenacity==8.0.1 | |
| threadpoolctl==3.1.0 | |
| tifffile==2022.2.9 | |
| tkcalendar==1.6.1 | |
| toml==0.10.2 | |
| tomli==1.2.3 | |
| tqdm==4.63.0 | |
| traits==6.3.2 | |
| transforms3d==0.3.1 | |
| typed-ast==1.4.3 | |
| typing_extensions==4.1.1 | |
| urllib3==1.26.7 | |
| virtualenv==20.10.0 | |
| virtualenv-clone==0.5.7 | |
| virtualenvwrapper==4.8.4 | |
| websocket-client==1.2.3 | |
| wheel @ file:///usr/local/Cellar/python%403.9/3.9.12/libexec/wheel-0.37.1-py2.py3-none-any.whl | |
| wrapt==1.13.3 | |
| xvfbwrapper==0.2.9 | |
| zipp==3.7.0 |
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| Package Version Editable project location | |
| --------------------------------- ------------------ -------------------------------------------- | |
| alabaster 0.7.12 | |
| astor 0.8.1 | |
| attrs 21.4.0 | |
| Babel 2.9.1 | |
| backports.entry-points-selectable 1.1.1 | |
| beautifulsoup4 4.10.0 | |
| bids-validator 1.9.2 | |
| black 21.12b0 | |
| certifi 2021.10.8 | |
| cfgv 3.3.1 | |
| charset-normalizer 2.0.7 | |
| ci-info 0.2.0 | |
| click 7.1.2 | |
| codecov 2.1.12 | |
| coverage 6.3.2 | |
| cycler 0.11.0 | |
| Cython 0.29.28 | |
| deeplabcut-docker 0.0.10a0 | |
| dipy 1.4.1 | |
| distlib 0.3.3 | |
| docker 5.0.3 | |
| docopt 0.6.2 | |
| docutils 0.17.1 | |
| etelemetry 0.3.0 | |
| execnet 1.9.0 | |
| filelock 3.4.0 | |
| flake8 4.0.1 | |
| fonttools 4.29.1 | |
| formulaic 0.2.4 | |
| h5py 3.6.0 | |
| identify 2.4.10 | |
| idna 3.3 | |
| imageio 2.16.1 | |
| imagesize 1.3.0 | |
| importlib-metadata 4.11.1 | |
| iniconfig 1.1.1 | |
| intel-openmp 2022.1.0 | |
| interface-meta 1.2.4 | |
| isodate 0.6.1 | |
| Jinja2 3.0.3 | |
| joblib 1.1.0 | |
| jsonschema 4.4.0 | |
| kaleido 0.2.1 | |
| kiwisolver 1.3.2 | |
| latexcodec 2.0.1 | |
| lxml 4.8.0 | |
| MarkupSafe 2.1.0 | |
| matplotlib 3.5.1 | |
| mccabe 0.6.1 | |
| memory-profiler 0.60.0 | |
| mkl 2022.1.0 | |
| mypy 0.790 | |
| mypy-extensions 0.4.3 | |
| networkx 2.7.1 | |
| neurodocker 0.7.0+147.g664965c /Volumes/Data/Docker/neurodocker/neurodocker | |
| nibabel 3.2.2 | |
| nilearn 0.9.2.dev0 /Volumes/Data/Research/fmri/nilearn | |
| nipype 1.7.0 | |
| nitime 0.9 | |
| niworkflows 1.1.12 | |
| nodeenv 1.6.0 | |
| num2words 0.5.10 | |
| numpy 1.22.3 | |
| numpydoc 1.3.1 | |
| packaging 21.3 | |
| pandas 1.4.1 | |
| pathspec 0.9.0 | |
| patsy 0.5.2 | |
| pbr 5.8.0 | |
| Pillow 9.0.1 | |
| pip 22.0.4 | |
| platformdirs 2.4.0 | |
| plotly 5.7.0 | |
| pluggy 1.0.0 | |
| pre-commit 2.17.0 | |
| protobuf 3.19.4 | |
| prov 2.0.0 | |
| psutil 5.9.0 | |
| py 1.11.0 | |
| pybids 0.14.0 | |
| pybtex 0.24.0 | |
| pybtex-docutils 1.0.1 | |
| pycodestyle 2.8.0 | |
| pycosat 0.6.3 | |
| pydata-sphinx-theme 0.8.0 | |
| pydot 1.4.2 | |
| pyflakes 2.4.0 | |
| Pygments 2.11.2 | |
| pyparsing 3.0.7 | |
| PyQt3D 5.15.5 | |
| PyQt5 5.15.6 | |
| PyQt5-sip 12.9.0 | |
| PyQtChart 5.15.5 | |
| PyQtDataVisualization 5.15.5 | |
| PyQtNetworkAuth 5.15.5 | |
| PyQtPurchasing 5.15.5 | |
| PyQtWebEngine 5.15.5 | |
| pyrsistent 0.18.1 | |
| pytest 7.0.1 | |
| pytest-cov 3.0.0 | |
| pytest-forked 1.4.0 | |
| pytest-reportlog 0.1.2 | |
| pytest-xdist 2.5.0 | |
| python-dateutil 2.8.2 | |
| pytz 2021.3 | |
| PyWavelets 1.2.0 | |
| PyYAML 6.0 | |
| qsiprep-container 0.15.3 | |
| rdflib 6.1.1 | |
| requests 2.26.0 | |
| ruamel.yaml 0.17.17 | |
| ruamel.yaml.clib 0.2.6 | |
| scikit-image 0.19.2 | |
| scikit-learn 1.0.2 | |
| scipy 1.8.0 | |
| seaborn 0.11.2 | |
| setuptools 60.10.0 | |
| simplejson 3.17.6 | |
| six 1.16.0 | |
| snowballstemmer 2.2.0 | |
| soupsieve 2.3.1 | |
| Sphinx 4.4.0 | |
| sphinx-copybutton 0.5.0 | |
| sphinx-gallery 0.10.1 | |
| sphinxcontrib-apidoc 0.3.0 | |
| sphinxcontrib-applehelp 1.0.2 | |
| sphinxcontrib-bibtex 2.4.2 | |
| sphinxcontrib-devhelp 1.0.2 | |
| sphinxcontrib-htmlhelp 2.0.0 | |
| sphinxcontrib-jsmath 1.0.1 | |
| sphinxcontrib-qthelp 1.0.3 | |
| sphinxcontrib-serializinghtml 1.1.5 | |
| sphinxext-opengraph 0.6.3 | |
| SQLAlchemy 1.3.24 | |
| statsmodels 0.13.2 | |
| stevedore 3.5.0 | |
| svgutils 0.3.1 | |
| tbb 2021.6.0 | |
| templateflow 0.7.2 | |
| tenacity 8.0.1 | |
| threadpoolctl 3.1.0 | |
| tifffile 2022.2.9 | |
| tkcalendar 1.6.1 | |
| toml 0.10.2 | |
| tomli 1.2.3 | |
| tqdm 4.63.0 | |
| traits 6.3.2 | |
| transforms3d 0.3.1 | |
| typed-ast 1.4.3 | |
| typing_extensions 4.1.1 | |
| urllib3 1.26.7 | |
| virtualenv 20.10.0 | |
| virtualenv-clone 0.5.7 | |
| virtualenvwrapper 4.8.4 | |
| websocket-client 1.2.3 | |
| wheel 0.37.1 | |
| wrapt 1.13.3 | |
| xvfbwrapper 0.2.9 | |
| zipp 3.7.0 |
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| ppytest nilearn[?1l>[?2004l | |
| ]2;pytest nilearn]1;pytest]2;pytest nilearn]1;pytest[1m=========================================================== test session starts ===========================================================[0m | |
| platform darwin -- Python 3.9.12, pytest-7.0.1, pluggy-1.0.0 -- /usr/local/opt/python@3.9/bin/python3.9 | |
| cachedir: .pytest_cache | |
| rootdir: /Volumes/Data/Research/fmri/nilearn, configfile: setup.cfg | |
| plugins: xdist-2.5.0, forked-1.4.0, reportlog-0.1.2, cov-3.0.0 | |
| [1mcollecting ... [0m[1m | |
| collecting 354 items [0m[1m | |
| collecting 702 items [0m[1m | |
| collecting 1453 items [0m[1m | |
| collected 1531 items [0m | |
| nilearn/_utils/docs.py::nilearn._utils.docs._indentcount_lines [32mPASSED[0m | |
| nilearn/_utils/logger.py::nilearn._utils.logger._compose_err_msg [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_check_square [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_check_spd matrix not symmetric to 7 decimals | |
| matrix has a negative eigenvalue: -0.000 | |
| [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_map_eigenvalues [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_couple [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_diagonal [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_geodesic [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_properties [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_errors matrix has a negative eigenvalue: -0.000 | |
| [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_sym_matrix_to_vec [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_vec_to_sym_matrix [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_prec_to_partial [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_connectivity_measure_errors [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_connectivity_measure_outputs [32mPASSED[0m | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_confounds_connectome_measure [32mPASSED[0m | |
| nilearn/connectome/tests/test_group_sparse_cov.py::test_group_sparse_covariance [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.Contains [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.GreaterOrEqual [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.GreaterThan [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.IsIn [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.IsNull [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.LessOrEqual [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.LessThan [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotContains [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotEqual [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotIn [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotNull [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.Pattern [32mPASSED[0m | |
| nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.ResultFilter [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_get_dataset_dir [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_downloader Downloading data from ftp://www.nitrc.org/home/groups/cluster_roi/htdocs/Parcellations/craddock_2011_parcellations.tar.gz ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_downloader0/craddock_2012/42258c0431d37895c491bcc0ebca3619/craddock_2011_parcellations.tar.gz..... done. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_source [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl_errors[HarvardOxford-cortl-prob-1mm] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl_errors[Juelich-prob-1mm] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Cortical-cort-prob-1mm-False-False] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Subcortical-sub-maxprob-thr0-1mm-False-True] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Cortical-Lateralized-cortl-maxprob-thr0-1mm-True-True] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--prob-1mm-False-False] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--maxprob-thr0-1mm-False-False] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--maxprob-thr0-1mm-False-True] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_craddock_2012 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_smith_2009 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_power_2011 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_seitzman_2018 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[True] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[False] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_msdl [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_yeo_2011 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_difumo [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM5-zip-uploads] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM8-zip-uploads] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM12-gztar-AAL_files] [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal_version_error [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_basc_multiscale_2015 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_dosenbach_2010 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_allen_2011 [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_surf_destrieux [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_talairach | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_atlas_talairach0/talairach_atlas | |
| Downloading data from http://www.talairach.org/talairach.nii ... | |
| ...done. (0 seconds, 0 min) | |
| Separating talairach atlas levels: ['hemisphere', 'lobe', 'gyrus', 'tissue', 'ba'] | |
| hemisphere | |
| lobe | |
| gyrus | |
| tissue | |
| ba | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_pauli_2017 | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_atlas_pauli_20170/pauli_2017/pauli_2017 | |
| Downloading data from https://osf.io/5mqfx/download ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/6qrcb/download ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/w8zq2/download ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_schaefer_2018 [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_haxby [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_adhd [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_miyawaki2008 [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer_contrasts | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_localizer_contrasts0/brainomics_localizer | |
| Downloading data from https://osf.io/hwbm2/download ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/925e69fb6bb464ba6ed7205d230d436/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/7d8794500ae43e0aa0cf9a0ba6aaf95/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/177f5c8fa3d435aba8437d3bff00d97/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/b897e136df64cc1b4b63a67f7297fc6/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/c50e7c64691427a81f70103b73821f1/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/659e31604a8465cb7373ba9989c2f26/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/57db62d23214cd89721a07a44ad0e3a/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5a56a38069a4d4ebb34819fca434d43/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/cc04261a03e41189c343b16e15f95eb/ ... | |
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| Downloading data from https://osf.io/download/6085848d12041178859a257d107dd71/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/df4fed2b3d84ce49def992776f67a0a/ ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer_calculation_task | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_localizer_calculati0/brainomics_localizer | |
| Downloading data from https://osf.io/hwbm2/download ... | |
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| Downloading data from https://osf.io/download/0785eb7fbae4ab29c9c1d039fd0c1f9/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/4300d95b0284c0a8911b9e3d778a814/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/e64bd40b87b41db8afce43dc708cfc3/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/2a8cc87fa1d4c309fcd9fa8e9465ff1/ ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer_button_task | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_localizer_button_ta0/brainomics_localizer | |
| Downloading data from https://osf.io/hwbm2/download ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/a3568d8a14549fe9fbac07617556307/ ... | |
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| Downloading data from https://osf.io/download/669f7167ef84ffba5ea2c4d9836a7b6/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/fd1cda5cd404598a9a9a6013ad0dbdf/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/dc3d3a8efae466ca37d5a823ca3c2d2/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/ffc4f7dd2c1484b89fb72f0ec6d3ab0/ ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[False] [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[True] [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test__load_mixed_gambles [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_mixed_gambles | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_mixed_gambles0/jimura_poldrack_2012_zmaps | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_check_parameters_megatrawls_datasets [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_megatrawls_netmats [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_surf_nki_enhanced | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_nki_enhanced0/nki_enhanced_surface | |
| Downloading data from https://www.nitrc.org/frs/download.php/8470/pheno_nki_nilearn.csv ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8261/A00028185_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8260/A00028185_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8263/A00033747_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8262/A00033747_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8265/A00035072_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8264/A00035072_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8267/A00035827_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8266/A00035827_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8269/A00035840_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8268/A00035840_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8271/A00037112_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8270/A00037112_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8273/A00037511_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8272/A00037511_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8275/A00038998_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8274/A00038998_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8277/A00039391_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8276/A00039391_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8279/A00039431_rh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://www.nitrc.org/frs/download.php/8278/A00039431_lh_preprocessed_fsaverage5_fwhm6.gii ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_participants | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_development_fmri_pa0/development_fmri | |
| Downloading data from https://osf.io/yr3av/download ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_functional | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_development_fmri_fu0/development_fmri | |
| Downloading data from https://osf.io/download/5c8ff3aca743a9001660a063/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3ac4712b400183b7051/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3be4712b4001a3b55c4/ ... | |
| ...done. (0 seconds, 0 min) | |
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| Downloading data from https://osf.io/download/5c8ff3c34712b400173b5362/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3d22286e80017c41af2/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3d52286e80017c41afe/ ... | |
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| Downloading data from https://osf.io/download/5c8ff39fa743a90018606e2f/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3a34712b4001a3b55a3/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3d3a743a90019606caa/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3d34712b400193b5bc7/ ... | |
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| Downloading data from https://osf.io/download/5c8ff3ba2286e80016c3c325/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3bd2286e80017c41a9e/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3842286e80017c419e0/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3854712b4001a3b5568/ ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_development_fmri | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_development_fmri0/development_fmri | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_development_fmri0/development_fmri/development_fmri | |
| Downloading data from https://osf.io/yr3av/download ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3be4712b4001a3b55c4/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3c12286e80017c41ab1/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3aca743a9001660a063/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3ac4712b400183b7051/ ... | |
| ...done. (0 seconds, 0 min) | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/temp_nilearn_home76/nilearn_shared_data/development_fmri | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/temp_nilearn_home76/nilearn_shared_data/development_fmri/development_fmri | |
| Downloading data from https://osf.io/yr3av/download ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3be4712b4001a3b55c4/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3c12286e80017c41ab1/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3aca743a9001660a063/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3ac4712b400183b7051/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3c34712b400173b5362/ ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://osf.io/download/5c8ff3c42286e80017c41ab6/ ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_invalid_n_subjects [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_exception [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_bids_langloc_dataset [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_select_from_index [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_ds000030_urls [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_openneuro_dataset | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_openneuro_dataset0/ds000030/ds000030_R1.0.4/uncompressed | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/stuff.html ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-xxx.html ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-yyy.html ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-xxx/ses-01_task-rest.txt ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-xxx/ses-01_task-other.txt ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-xxx/ses-02_task-rest.txt ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-xxx/ses-02_task-other.txt ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-yyy/ses-01.txt ... | |
| ...done. (0 seconds, 0 min) | |
| Downloading data from https://example.com/ds000030/ds000030_R1.0.4/uncompressed/sub-yyy/ses-02.txt ... | |
| ...done. (0 seconds, 0 min) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_localizer0/localizer_first_level | |
| Downloading data from https://osf.io/2bqxn/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_localizer0/localizer_first_level/62d16779cfae29f3623d6a194141d263/download..... done. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_language_localizer_demo_dataset | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_language_localizer_0/fMRI-language-localizer-demo-dataset | |
| Downloading data from https://osf.io/3dj2a/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_language_localizer_0/fMRI-language-localizer-demo-dataset/fMRI-language-localizer-demo-dataset.zip..... done. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_make_spm_auditory_events_file [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_spm_auditory [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fetch_spm_multimodal [32mPASSED[0m | |
| nilearn/datasets/tests/test_func.py::test_fiac [32mPASSED[0m | |
| nilearn/datasets/tests/test_mocking_autoused.py::nilearn.datasets.tests.test_mocking_autoused.check_doctest_fixture [32mPASSED[0m | |
| nilearn/datasets/tests/test_mocking_autoused.py::test_request_mocking_autoused_requests [32mPASSED[0m | |
| nilearn/datasets/tests/test_mocking_autoused.py::test_request_mocking_autoused_urllib [32mPASSED[0m | |
| nilearn/datasets/tests/test_mocking_autoused.py::test_temp_nilearn_home_autoused [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_remove_none_strings [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_append_filters_to_query [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_get_batch getting new batch: http://neurovault.org/api/collections/ | |
| getting new batch: file:///var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmporpt6gdi/test_nv.txt | |
| Could not get batch from file:///var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmporpt6gdi/test_nv.txt | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 976, in _get_batch | |
| batch = resp.json() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 126, in json | |
| return json.loads(self.text) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| getting new batch: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pmc&retmode=json&term=fmri | |
| Could not get batch from https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pmc&retmode=json&term=fmri | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 976, in _get_batch | |
| batch = resp.json() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 126, in json | |
| return json.loads(self.text) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_scroll_server_results getting new batch: http://neurovault.org/api/collections/?limit=3&offset=0 | |
| batch size: 3 | |
| getting new batch: http://neurovault.org/api/collections/?limit=3&offset=3 | |
| batch size: 3 | |
| getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| batch size: 73 | |
| getting new batch: http://BAD_URL?limit=100&offset=0 | |
| Could not get batch from http://BAD_URL?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 976, in _get_batch | |
| batch = resp.json() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 126, in json | |
| return json.loads(self.text) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_is_null [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_not_null [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_not_equal [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_order_comp [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_is_in [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_not_in [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_contains [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_not_contains [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_pattern [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_result_filter [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_result_filter_combinations [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_simple_download Downloading file: http://neurovault.org/media/images/35/Fig3B_zstat1.nii.gz | |
| Download succeeded, downloaded to: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmpt3cfk72u/image_35.nii.gz | |
| Downloading file: http:// | |
| Problem downloading file from http:// | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_neurosynth_words_vectorized Computing word features. | |
| Computing word features done; vocabulary size: 5 | |
| Computing word features. | |
| Could not load words from file /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmprpftrruj/no_words_here.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1194, in neurosynth_words_vectorized | |
| with open(file_name, 'rb') as word_file: | |
| FileNotFoundError: [Errno 2] No such file or directory: '/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmprpftrruj/no_words_here.json' | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_write_read_metadata [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_add_absolute_paths [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_json_add_collection_dir [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_json_add_im_files_paths [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_split_terms [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_move_unknown_terms_to_local_filter [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_move_col_id [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_download_image_terms Downloading file: http://neurosynth.org/api/decode/?neurovault=a | |
| Problem downloading file from http://neurosynth.org/api/decode/?neurovault=a | |
| Could not fetch words for image a | |
| Error while fetching file d41d8cd98f00b204e9800998ecf8427e; dataset fetching aborted.Error while fetching file f561eb60ddebdd6ce67a22340f91e37c; dataset fetching aborted.Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1552, in _download_image_terms | |
| _simple_download(query, image_info['ns_words_absolute_path'], | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1137, in _simple_download | |
| downloaded = _fetch_file(url, temp_dir, resume=False, | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/utils.py", line 526, in _fetch_file | |
| return _fetch_file( | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/utils.py", line 600, in _fetch_file | |
| with session.send( | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 272, in __call__ | |
| return self.get_response(value, match, request) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 299, in get_response | |
| raise response | |
| requests.exceptions.RequestException | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=a | |
| Problem downloading file from http://neurosynth.org/api/decode/?neurovault=a | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_download_image [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault fetch_neurovault: using default value of 100 for max_images. Set max_images to another value or None if you want more images. | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: batch size: 73 | |
| Scroll images from collection 993: getting new batch: http://neurovault.org/api/collections/993/images/?limit=100&offset=0 | |
| Scroll images from collection 993: batch size: 8 | |
| Downloading file: https://neurovault.org/media/images/993/4485.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/image_5432.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=5432 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_5432.json | |
| Could not fetch words for image 5432 | |
| Error while fetching file f561eb60ddebdd6ce67a22340f91e37c; dataset fetching aborted.Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 1 image | |
| Downloading file: https://neurovault.org/media/images/993/c2ed.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/image_7492.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=7492 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_7492.json | |
| Could not fetch words for image 7492 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 2 images | |
| Downloading file: https://neurovault.org/media/images/993/6a96.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/image_9575.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=9575 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_9575.json | |
| Could not fetch words for image 9575 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 3 images | |
| Downloading file: https://neurovault.org/media/images/993/af69.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/image_4799.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=4799 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_4799.json | |
| Could not fetch words for image 4799 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 4 images | |
| Downloading file: https://neurovault.org/media/images/993/186e.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/image_9022.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=9022 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_9022.json | |
| Could not fetch words for image 9022 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 5 images | |
| Downloading file: https://neurovault.org/media/images/993/d5ba.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/image_8699.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=8699 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_8699.json | |
| Could not fetch words for image 8699 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 6 images | |
| On neurovault.org: 6 images matched query in collection 993 | |
| Scroll images from collection 859: getting new batch: http://neurovault.org/api/collections/859/images/?limit=100&offset=0 | |
| Scroll images from collection 859: batch size: 12 | |
| Downloading file: https://neurovault.org/media/images/859/1269.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/image_4597.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=4597 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_4597.json | |
| Could not fetch words for image 4597 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 7 images | |
| Downloading file: https://neurovault.org/media/images/859/5646.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/image_5473.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=5473 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_5473.json | |
| Could not fetch words for image 5473 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 8 images | |
| Downloading file: https://neurovault.org/media/images/859/bf1f.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/image_3021.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=3021 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_3021.json | |
| Could not fetch words for image 3021 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 9 images | |
| Downloading file: https://neurovault.org/media/images/859/36f6.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/image_4351.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=4351 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_4351.json | |
| Could not fetch words for image 4351 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 10 images | |
| Downloading file: https://neurovault.org/media/images/859/2836.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/image_9351.nii.gz | |
| Downloading file: http://neurosynth.org/api/decode/?neurovault=9351 | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_9351.json | |
| Could not fetch words for image 9351 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1555, in _download_image_terms | |
| assert _check_has_words(image_info['ns_words_absolute_path']) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1500, in _check_has_words | |
| info = _remove_none_strings(_json_from_file(file_name)) | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1314, in _json_from_file | |
| loaded = json.loads(dumped.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Already fetched 11 images | |
| Computing word features. | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_5432.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_7492.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_9575.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_4799.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_9022.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_993/neurosynth_words_for_image_8699.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_4597.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_5473.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_3021.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_4351.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Could not load words from file /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault0/neurovault/collection_859/neurosynth_words_for_image_9351.json; error: Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 1195, in neurosynth_words_vectorized | |
| info = json.loads(word_file.read().decode('utf-8')) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/__init__.py", line 346, in loads | |
| return _default_decoder.decode(s) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 337, in decode | |
| obj, end = self.raw_decode(s, idx=_w(s, 0).end()) | |
| File "/usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/json/decoder.py", line 355, in raw_decode | |
| raise JSONDecodeError("Expecting value", s, err.value) from None | |
| json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/temp_nilearn_home119/nilearn_shared_data/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| fetch_neurovault: using default value of 100 for max_images. Set max_images to another value or None if you want more images. | |
| Reading local neurovault data. | |
| Already fetched 1 image | |
| Already fetched 2 images | |
| Already fetched 3 images | |
| Already fetched 4 images | |
| Already fetched 5 images | |
| Already fetched 6 images | |
| Already fetched 7 images | |
| Already fetched 8 images | |
| Already fetched 9 images | |
| Already fetched 10 images | |
| Already fetched 11 images | |
| 11 images found on local disk. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_errors fetch_neurovault: using default value of 100 for max_images. Set max_images to another value or None if you want more images. | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/temp_nilearn_home120/nilearn_shared_data/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Scroll collections: getting new batch: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Could not get batch from http://neurovault.org/api/collections/?limit=100&offset=0 | |
| Traceback (most recent call last): | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py", line 975, in _get_batch | |
| resp.raise_for_status() | |
| File "/Volumes/Data/Research/fmri/nilearn/nilearn/datasets/_testing.py", line 130, in raise_for_status | |
| raise HTTPError( | |
| requests.exceptions.HTTPError: 500 Error for url: http://neurovault.org/api/collections/?limit=100&offset=0 | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_ids | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/temp_nilearn_home121/nilearn_shared_data/neurovault | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| getting new batch: http://neurovault.org/api/collections/481 | |
| Scroll images from collection 481: getting new batch: http://neurovault.org/api/collections/481/images/?limit=100&offset=0 | |
| Scroll images from collection 481: batch size: 12 | |
| Downloading file: https://neurovault.org/media/images/481/5612.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_8849.nii.gz | |
| Already fetched 1 image | |
| Downloading file: https://neurovault.org/media/images/481/2cd4.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_3132.nii.gz | |
| Already fetched 2 images | |
| Downloading file: https://neurovault.org/media/images/481/e552.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_6715.nii.gz | |
| Already fetched 3 images | |
| Downloading file: https://neurovault.org/media/images/481/e3cd.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_3858.nii.gz | |
| Already fetched 4 images | |
| Downloading file: https://neurovault.org/media/images/481/ec10.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_1941.nii.gz | |
| Already fetched 5 images | |
| Downloading file: https://neurovault.org/media/images/481/ab85.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_6706.nii.gz | |
| Already fetched 6 images | |
| Downloading file: https://neurovault.org/media/images/481/d53d.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_1373.nii.gz | |
| Already fetched 7 images | |
| Downloading file: https://neurovault.org/media/images/481/a66b.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_1747.nii.gz | |
| Already fetched 8 images | |
| Downloading file: https://neurovault.org/media/images/481/a89c.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_2175.nii.gz | |
| Already fetched 9 images | |
| Downloading file: https://neurovault.org/media/images/481/9117.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_487.nii.gz | |
| Already fetched 10 images | |
| Downloading file: https://neurovault.org/media/images/481/d05c.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_3661.nii.gz | |
| Already fetched 11 images | |
| Downloading file: https://neurovault.org/media/images/481/e08d.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_481/image_7818.nii.gz | |
| Already fetched 12 images | |
| On neurovault.org: 12 images matched query in collection 481 | |
| getting new batch: http://neurovault.org/api/collections/859 | |
| Scroll images from collection 859: getting new batch: http://neurovault.org/api/collections/859/images/?limit=100&offset=0 | |
| Scroll images from collection 859: batch size: 12 | |
| Downloading file: https://neurovault.org/media/images/859/0a06.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_6153.nii.gz | |
| Already fetched 13 images | |
| Downloading file: https://neurovault.org/media/images/859/25bb.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_2183.nii.gz | |
| Already fetched 14 images | |
| Downloading file: https://neurovault.org/media/images/859/385f.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_7872.nii.gz | |
| Already fetched 15 images | |
| Downloading file: https://neurovault.org/media/images/859/1269.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_4597.nii.gz | |
| Already fetched 16 images | |
| Downloading file: https://neurovault.org/media/images/859/5646.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_5473.nii.gz | |
| Already fetched 17 images | |
| Downloading file: https://neurovault.org/media/images/859/bf1f.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_3021.nii.gz | |
| Already fetched 18 images | |
| Downloading file: https://neurovault.org/media/images/859/6e6d.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_1595.nii.gz | |
| Already fetched 19 images | |
| Downloading file: https://neurovault.org/media/images/859/36f6.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_4351.nii.gz | |
| Already fetched 20 images | |
| Downloading file: https://neurovault.org/media/images/859/033b.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_9330.nii.gz | |
| Already fetched 21 images | |
| Downloading file: https://neurovault.org/media/images/859/0bea.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_7721.nii.gz | |
| Already fetched 22 images | |
| Downloading file: https://neurovault.org/media/images/859/2836.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_9351.nii.gz | |
| Already fetched 23 images | |
| Downloading file: https://neurovault.org/media/images/859/389b.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_859/image_8642.nii.gz | |
| Already fetched 24 images | |
| On neurovault.org: 12 images matched query in collection 859 | |
| getting new batch: http://neurovault.org/api/images/6296 | |
| getting new batch: http://neurovault.org/api/collections/672 | |
| Downloading file: https://neurovault.org/media/images/672/ab15.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_672/image_6296.nii.gz | |
| Already fetched 25 images | |
| getting new batch: http://neurovault.org/api/images/9299 | |
| Downloading file: https://neurovault.org/media/images/672/4993.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_672/image_9299.nii.gz | |
| Already fetched 26 images | |
| getting new batch: http://neurovault.org/api/images/4623 | |
| Downloading file: https://neurovault.org/media/images/672/93a1.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_672/image_4623.nii.gz | |
| Already fetched 27 images | |
| Reading local neurovault data. | |
| Already fetched 1 image | |
| 1 image found on local disk. | |
| Reading local neurovault data. | |
| Already fetched 1 image | |
| 1 image found on local disk. | |
| Reading local neurovault data. | |
| Already fetched 1 image | |
| 1 image found on local disk. | |
| getting new batch: http://neurovault.org/api/images/6296 | |
| Downloading file: https://neurovault.org/media/images/672/ab15.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_neurovault_ids0/neurovault/collection_672/image_6296.nii.gz | |
| Already fetched 1 image | |
| Reading local neurovault data. | |
| Already fetched 1 image | |
| 1 image found on local disk. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_should_download_resampled_images_only_if_no_previous_download | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| getting new batch: http://neurovault.org/api/collections/993 | |
| Scroll images from collection 993: getting new batch: http://neurovault.org/api/collections/993/images/?limit=100&offset=0 | |
| Scroll images from collection 993: batch size: 8 | |
| Downloading file: https://neurovault.org/media/images/993/4485.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb2728e-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 1 image | |
| Downloading file: https://neurovault.org/media/images/993/c2ed.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb38f16-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 2 images | |
| Downloading file: https://neurovault.org/media/images/993/2387.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb4946a-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 3 images | |
| Downloading file: https://neurovault.org/media/images/993/6a96.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb59536-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 4 images | |
| Downloading file: https://neurovault.org/media/images/993/af69.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb6b4ca-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 5 images | |
| Downloading file: https://neurovault.org/media/images/993/8817.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb7ba50-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 6 images | |
| Downloading file: https://neurovault.org/media/images/993/186e.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb8b914-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 7 images | |
| Downloading file: https://neurovault.org/media/images/993/d5ba.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled0/neurovault/collection_993/tmp_7cb9b8c8-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 8 images | |
| On neurovault.org: 8 images matched query in collection 993 | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_should_download_original_images_along_resampled_images_if_previously_downloaded | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| getting new batch: http://neurovault.org/api/collections/993 | |
| Scroll images from collection 993: getting new batch: http://neurovault.org/api/collections/993/images/?limit=100&offset=0 | |
| Scroll images from collection 993: batch size: 8 | |
| Downloading file: https://neurovault.org/media/images/993/4485.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cbdbd4c-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 1 image | |
| Downloading file: https://neurovault.org/media/images/993/c2ed.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cbebe7c-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 2 images | |
| Downloading file: https://neurovault.org/media/images/993/2387.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cbfbb9c-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 3 images | |
| Downloading file: https://neurovault.org/media/images/993/6a96.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cc0d11c-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 4 images | |
| Downloading file: https://neurovault.org/media/images/993/af69.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cc1c8e2-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 5 images | |
| Downloading file: https://neurovault.org/media/images/993/8817.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cc2ccd8-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 6 images | |
| Downloading file: https://neurovault.org/media/images/993/186e.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cc3c412-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 7 images | |
| Downloading file: https://neurovault.org/media/images/993/d5ba.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/tmp_7cc4b840-d057-11ec-b19e-d0817ad90dc9.nii.gz | |
| Resampling... | |
| Already fetched 8 images | |
| On neurovault.org: 8 images matched query in collection 993 | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| getting new batch: http://neurovault.org/api/collections/993 | |
| Scroll images from collection 993: getting new batch: http://neurovault.org/api/collections/993/images/?limit=100&offset=0 | |
| Scroll images from collection 993: batch size: 8 | |
| Downloading file: https://neurovault.org/media/images/993/4485.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_5432.nii.gz | |
| Already fetched 1 image | |
| Downloading file: https://neurovault.org/media/images/993/c2ed.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_7492.nii.gz | |
| Already fetched 2 images | |
| Downloading file: https://neurovault.org/media/images/993/2387.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_1121.nii.gz | |
| Already fetched 3 images | |
| Downloading file: https://neurovault.org/media/images/993/6a96.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_9575.nii.gz | |
| Already fetched 4 images | |
| Downloading file: https://neurovault.org/media/images/993/af69.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_4799.nii.gz | |
| Already fetched 5 images | |
| Downloading file: https://neurovault.org/media/images/993/8817.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_1040.nii.gz | |
| Already fetched 6 images | |
| Downloading file: https://neurovault.org/media/images/993/186e.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_9022.nii.gz | |
| Already fetched 7 images | |
| Downloading file: https://neurovault.org/media/images/993/d5ba.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_original_0/neurovault/collection_993/image_8699.nii.gz | |
| Already fetched 8 images | |
| On neurovault.org: 8 images matched query in collection 993 | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_neurovault.py::test_should_download_resampled_images_along_original_images_if_previously_downloaded | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled1/neurovault | |
| Reading local neurovault data. | |
| No image found on local disk. | |
| Reading server neurovault data. | |
| getting new batch: http://neurovault.org/api/collections/993 | |
| Scroll images from collection 993: getting new batch: http://neurovault.org/api/collections/993/images/?limit=100&offset=0 | |
| Scroll images from collection 993: batch size: 8 | |
| Downloading file: https://neurovault.org/media/images/993/4485.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled1/neurovault/collection_993/image_5432.nii.gz | |
| Already fetched 1 image | |
| Downloading file: https://neurovault.org/media/images/993/c2ed.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled1/neurovault/collection_993/image_7492.nii.gz | |
| Already fetched 2 images | |
| Downloading file: https://neurovault.org/media/images/993/2387.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled1/neurovault/collection_993/image_1121.nii.gz | |
| Already fetched 3 images | |
| Downloading file: https://neurovault.org/media/images/993/6a96.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled1/neurovault/collection_993/image_9575.nii.gz | |
| Already fetched 4 images | |
| Downloading file: https://neurovault.org/media/images/993/af69.nii.gz | |
| Download succeeded, downloaded to: /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_should_download_resampled1/neurovault/collection_993/image_4799.nii.gz | |
| Already fetched 5 images | |
| Downloading file: https://neurovault.org/media/images/993/8817.nii.gz | |
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| nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage3] | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav0/fsaverage3 | |
| Downloading data from https://osf.io/asvjk/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav0/fsaverage3/b9ce491b47822c5b4950eeeb75d15a92/download..... done. | |
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| nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage4] | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav1/fsaverage4 | |
| Downloading data from https://osf.io/x2j49/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav1/fsaverage4/1c9c07a31a99fa14a879a40e2955457d/download..... done. | |
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| nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage5] [32mPASSED[0m | |
| nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage6] | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav3/fsaverage6 | |
| Downloading data from https://osf.io/um5ag/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav3/fsaverage6/fc4959d35cad1b55c25ac36b1660ae30/download..... done. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage7] | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav4/fsaverage | |
| Downloading data from https://osf.io/q7a5k/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav4/fsaverage/5592d63c5c8039b4f902396c128dcd85/download..... done. | |
| [32mPASSED[0m | |
| nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage] | |
| Dataset created in /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav5/fsaverage | |
| Downloading data from https://osf.io/q7a5k/download ... | |
| ...done. (0 seconds, 0 min) | |
| Extracting data from /private/var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/pytest-of-john/pytest-8/test_fetch_surf_fsaverage_fsav5/fsaverage/5592d63c5c8039b4f902396c128dcd85/download..... done. | |
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| nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[nyu_rest] [32mPASSED[0m | |
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| nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[icbm152_2009] [32mPASSED[0m | |
| nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[Megatrawls] [32mPASSED[0m | |
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| nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[pauli_2017] [32mPASSED[0m | |
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| nilearn/datasets/tests/test_utils.py::test_fetch_file_overwrite[True] [32mPASSED[0m | |
| nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[False] Downloading data from https://example.org/example1 ... | |
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| nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[True] Downloading data from https://example.org/example1 ... | |
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| Downloading data from https://example.org/example2 ... | |
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| nilearn/datasets/tests/test_utils.py::test_fetch_files_overwrite[False] [32mPASSED[0m | |
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| nilearn/datasets/tests/test_utils.py::test_make_fresh_openneuro_dataset_urls_index [33mSKIPPED[0m (Boto3 missing; necessary for this ...) | |
| nilearn/datasets/tests/test_utils.py::test_naive_ftp_adapter [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_check_param_grid [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_check_inputs_length [32mPASSED[0m | |
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| nilearn/decoding/tests/test_decoder.py::test_parallel_fit [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_binary_classification [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_multiclass_classification [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_classification_string_label [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_regression [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_regression [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_apply_mask [32mPASSED[0m | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_split_cv [32mPASSED[0m | |
| nilearn/decoding/tests/test_fista.py::test_logistic_lipschitz [32mPASSED[0m | |
| nilearn/decoding/tests/test_fista.py::test_squared_loss_lipschitz [32mPASSED[0m | |
| nilearn/decoding/tests/test_fista.py::test_input_args_and_kwargs mFISTA: Iteration 1/100: E = 3.8405e+01, dE inf | |
| mFISTA: Iteration 2/100: E = 1.1380e+01, dE 2.7024e+01 | |
| mFISTA: Iteration 3/100: E = 1.1380e+01, dE 0.0000e+00 | |
| Converged (|dE| < 0.0001) | |
| mFISTA: Iteration 1/100: E = 3.8405e+01, dE inf | |
| mFISTA: Iteration 2/100: E = 1.1380e+01, dE 2.7024e+01 | |
| mFISTA: Iteration 3/100: E = 1.1380e+01, dE 0.0000e+00 | |
| Converged (|dE| < 0.0001) | |
| mFISTA: Iteration 1/100: E = 3.8405e+01, dE inf | |
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| nilearn/decoding/tests/test_graph_net.py::test_operators_adjointness [32mPASSED[0m | |
| nilearn/decoding/tests/test_graph_net.py::test__squared_loss_gradient_at_simple_points [32mPASSED[0m | |
| nilearn/decoding/tests/test_graph_net.py::test_logistic_gradient_at_simple_points [32mPASSED[0m | |
| nilearn/decoding/tests/test_graph_net.py::test__squared_loss_derivative_lipschitz_constant [32mPASSED[0m | |
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| nilearn/decoding/tests/test_graph_net.py::test_max_alpha__squared_loss [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.257644 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.246251 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.241834 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_graph_net.py::test_tikhonov_regularization_vs_graph_net [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.27787 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_graph_net.py::test_mfista_solver_graph_net_no_l1_term mFISTA: Iteration 1/1000: E = 2.5000e+02, dE inf | |
| mFISTA: Iteration 2/1000: E = 4.3945e+01, dE 2.0605e+02 | |
| mFISTA: Iteration 3/1000: E = 3.8624e+01, dE 5.3215e+00 | |
| mFISTA: Iteration 4/1000: E = 3.2683e+01, dE 5.9404e+00 | |
| mFISTA: Iteration 5/1000: E = 2.6595e+01, dE 6.0883e+00 | |
| mFISTA: Iteration 6/1000: E = 2.0757e+01, dE 5.8382e+00 | |
| mFISTA: Iteration 7/1000: E = 1.5475e+01, dE 5.2820e+00 | |
| mFISTA: Iteration 8/1000: E = 1.0952e+01, dE 4.5224e+00 | |
| mFISTA: Iteration 9/1000: E = 7.2905e+00, dE 3.6619e+00 | |
| mFISTA: Iteration 10/1000: E = 4.4981e+00, dE 2.7924e+00 | |
| mFISTA: Iteration 11/1000: E = 2.5106e+00, dE 1.9875e+00 | |
| mFISTA: Iteration 12/1000: E = 1.2121e+00, dE 1.2986e+00 | |
| mFISTA: Iteration 13/1000: E = 4.5893e-01, dE 7.5315e-01 | |
| mFISTA: Iteration 14/1000: E = 1.0140e-01, dE 3.5754e-01 | |
| mFISTA: Iteration 15/1000: E = 6.5623e-04, dE 1.0074e-01 | |
| Monotonous FISTA: Switching to ISTA | |
| mFISTA: Iteration 16/1000: E = 4.0696e-02, dE -4.0040e-02 | |
| mFISTA: Iteration 17/1000: E = 5.7676e-04, dE 4.0120e-02 | |
| mFISTA: Iteration 18/1000: E = 5.0692e-04, dE 6.9842e-05 | |
| mFISTA: Iteration 19/1000: E = 3.9745e-04, dE 1.0947e-04 | |
| mFISTA: Iteration 20/1000: E = 2.7740e-04, dE 1.2005e-04 | |
| mFISTA: Iteration 21/1000: E = 1.6901e-04, dE 1.0838e-04 | |
| mFISTA: Iteration 22/1000: E = 8.5583e-05, dE 8.3430e-05 | |
| mFISTA: Iteration 23/1000: E = 3.1772e-05, dE 5.3811e-05 | |
| mFISTA: Iteration 24/1000: E = 5.4615e-06, dE 2.6311e-05 | |
| mFISTA: Iteration 25/1000: E = 2.6724e-07, dE 5.1943e-06 | |
| Monotonous FISTA: Switching to ISTA | |
| mFISTA: Iteration 26/1000: E = 8.0672e-06, dE -7.8000e-06 | |
| mFISTA: Iteration 27/1000: E = 2.3488e-07, dE 7.8324e-06 | |
| mFISTA: Iteration 28/1000: E = 2.0644e-07, dE 2.8442e-08 | |
| mFISTA: Iteration 29/1000: E = 1.6066e-07, dE 4.5779e-08 | |
| mFISTA: Iteration 30/1000: E = 1.0965e-07, dE 5.1008e-08 | |
| mFISTA: Iteration 31/1000: E = 6.3540e-08, dE 4.6111e-08 | |
| mFISTA: Iteration 32/1000: E = 2.8838e-08, dE 3.4701e-08 | |
| mFISTA: Iteration 33/1000: E = 8.0565e-09, dE 2.0782e-08 | |
| mFISTA: Iteration 34/1000: E = 2.6598e-10, dE 7.7905e-09 | |
| Converged (|dE| < 1e-08) | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_grad_div_adjoint_arbitrary_ndim [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_1D__gradient_id [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_2D__gradient_id [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_3D__gradient_id [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_logistic_loss_derivative [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_grad_div_adjoint_arbitrary_ndim_ [32mPASSED[0m | |
| nilearn/decoding/tests/test_objective_functions.py::test_baseestimator_invalid_l1_ratio [32mPASSED[0m | |
| nilearn/decoding/tests/test_operators.py::test_prox_l1_nonexpansiveness [32mPASSED[0m | |
| nilearn/decoding/tests/test_operators.py::test_prox_tvl1_approximates_prox_l1_for_lasso [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_same_energy_calculus_pure_lasso [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_lipschitz_constant_loss_mse [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_lipschitz_constant_loss_logreg [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tvl1_same_for_pure_l1 mFISTA: Iteration 1/100: E = 3.5000e+00, dE inf | |
| ProxTVl1: Iteration 0, dual gap: 2.017e-04 | |
| mFISTA: Iteration 2/100: E = 8.2506e-01, dE 2.6749e+00 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 3/100: E = 6.1463e-01, dE 2.1043e-01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 4/100: E = 4.4228e-01, dE 1.7235e-01 | |
| ProxTVl1: Iteration 0, dual gap: -1.388e-17 | |
| mFISTA: Iteration 5/100: E = 3.1511e-01, dE 1.2718e-01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 6/100: E = 2.2902e-01, dE 8.6084e-02 | |
| ProxTVl1: Iteration 0, dual gap: 2.776e-17 | |
| mFISTA: Iteration 7/100: E = 1.7263e-01, dE 5.6388e-02 | |
| ProxTVl1: Iteration 0, dual gap: -2.776e-17 | |
| mFISTA: Iteration 8/100: E = 1.3427e-01, dE 3.8365e-02 | |
| ProxTVl1: Iteration 0, dual gap: 1.236e-05 | |
| mFISTA: Iteration 9/100: E = 1.0618e-01, dE 2.8095e-02 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 10/100: E = 8.3791e-02, dE 2.2384e-02 | |
| ProxTVl1: Iteration 0, dual gap: 2.776e-17 | |
| mFISTA: Iteration 11/100: E = 6.5462e-02, dE 1.8329e-02 | |
| ProxTVl1: Iteration 0, dual gap: 2.776e-17 | |
| mFISTA: Iteration 12/100: E = 5.0926e-02, dE 1.4536e-02 | |
| ProxTVl1: Iteration 0, dual gap: 5.551e-17 | |
| mFISTA: Iteration 13/100: E = 4.0102e-02, dE 1.0824e-02 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 14/100: E = 3.2620e-02, dE 7.4814e-03 | |
| ProxTVl1: Iteration 0, dual gap: 5.551e-17 | |
| mFISTA: Iteration 15/100: E = 2.7836e-02, dE 4.7840e-03 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 16/100: E = 2.5024e-02, dE 2.8119e-03 | |
| ProxTVl1: Iteration 0, dual gap: 1.110e-16 | |
| mFISTA: Iteration 17/100: E = 2.3548e-02, dE 1.4762e-03 | |
| ProxTVl1: Iteration 0, dual gap: 5.551e-17 | |
| mFISTA: Iteration 18/100: E = 2.2927e-02, dE 6.2109e-04 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 19/100: E = 2.2822e-02, dE 1.0533e-04 | |
| ProxTVl1: Iteration 0, dual gap: 5.551e-17 | |
| Monotonous FISTA: Switching to ISTA | |
| mFISTA: Iteration 20/100: E = 2.2991e-02, dE -1.6921e-04 | |
| ProxTVl1: Iteration 0, dual gap: 5.551e-17 | |
| mFISTA: Iteration 21/100: E = 2.2712e-02, dE 2.7935e-04 | |
| ProxTVl1: Iteration 0, dual gap: 5.551e-17 | |
| mFISTA: Iteration 22/100: E = 2.2619e-02, dE 9.3105e-05 | |
| Converged (|dE| < 0.0001) | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 3, 3, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.246092 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 3, 3, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.231042 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 3, 3, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.253559 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 3, 3, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.234304 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tvl1_same_for_pure_l1_logistic mFISTA: Iteration 1/20: E = 1.0397e+02, dE inf | |
| ProxTVl1: Iteration 0, dual gap: 4.950e-08 | |
| mFISTA: Iteration 2/20: E = 8.7354e+01, dE 1.6618e+01 | |
| ProxTVl1: Iteration 0, dual gap: -4.337e-19 | |
| mFISTA: Iteration 3/20: E = 7.6217e+01, dE 1.1137e+01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 4/20: E = 6.6580e+01, dE 9.6371e+00 | |
| ProxTVl1: Iteration 0, dual gap: 1.735e-18 | |
| mFISTA: Iteration 5/20: E = 5.8970e+01, dE 7.6093e+00 | |
| ProxTVl1: Iteration 0, dual gap: 3.469e-18 | |
| mFISTA: Iteration 6/20: E = 5.3242e+01, dE 5.7288e+00 | |
| ProxTVl1: Iteration 0, dual gap: 3.469e-18 | |
| mFISTA: Iteration 7/20: E = 4.9015e+01, dE 4.2266e+00 | |
| ProxTVl1: Iteration 0, dual gap: 3.469e-18 | |
| mFISTA: Iteration 8/20: E = 4.5908e+01, dE 3.1069e+00 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 9/20: E = 4.3611e+01, dE 2.2972e+00 | |
| ProxTVl1: Iteration 0, dual gap: 6.939e-18 | |
| mFISTA: Iteration 10/20: E = 4.1894e+01, dE 1.7173e+00 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 11/20: E = 4.0593e+01, dE 1.3010e+00 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 12/20: E = 3.9593e+01, dE 9.9979e-01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 13/20: E = 3.8813e+01, dE 7.7932e-01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 14/20: E = 3.8198e+01, dE 6.1587e-01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 15/20: E = 3.7705e+01, dE 4.9305e-01 | |
| ProxTVl1: Iteration 0, dual gap: 0.000e+00 | |
| mFISTA: Iteration 16/20: E = 3.7305e+01, dE 3.9954e-01 | |
| ProxTVl1: Iteration 0, dual gap: -1.388e-17 | |
| mFISTA: Iteration 17/20: E = 3.6978e+01, dE 3.2744e-01 | |
| ProxTVl1: Iteration 0, dual gap: -1.388e-17 | |
| mFISTA: Iteration 18/20: E = 3.6706e+01, dE 2.7116e-01 | |
| ProxTVl1: Iteration 0, dual gap: -2.776e-17 | |
| mFISTA: Iteration 19/20: E = 3.6480e+01, dE 2.2672e-01 | |
| ProxTVl1: Iteration 0, dual gap: -1.388e-17 | |
| mFISTA: Iteration 20/20: E = 3.6288e+01, dE 1.9125e-01 | |
| ProxTVl1: Iteration 0, dual gap: -1.388e-17 | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.249571 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.241289 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.244689 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.23797 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tv_same_for_pure_l1_another_test [32mPASSED[0m | |
| nilearn/decoding/tests/test_same_api.py::test_coef_shape [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.245888 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s finished | |
| Time Elapsed: 0.250762 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.23211 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s finished | |
| Time Elapsed: 0.232049 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_searchlight.py::test_searchlight [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| Job #1, processed 0/125 voxels (0.00%, 35 seconds remaining) | |
| Job #1, processed 10/125 voxels (8.00%, 0 seconds remaining) | |
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| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.4s finished | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_sklearn_compatibility.py::test_get_params [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid_same_as_sk [33mSKIPPED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_early_stopping_callback_object [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_params_correctly_propagated_in_constructors [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_screening_space_net Mask volume = 64mm^3 = 0.064cm^3 | |
| Standard brain volume = 1.82724e+06mm^3 = 1827.24cm^3 | |
| Original screening-percentile: 10 | |
| Volume-corrected screening-percentile: 100 | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_logistic_path_scores [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_squared_loss_path_scores [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_tv_regression_simple (4, 4, 4, 10) 64.0 | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| .....[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
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| Time Elapsed: 0.239568 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_tv_regression_3D_image_doesnt_crash [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 4, 5, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
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| Time Elapsed: 0.267807 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 4, 5, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
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| Time Elapsed: 0.263817 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(3, 4, 5, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
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| Time Elapsed: 0.245225 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_graph_net_classifier_score [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_log_reg_vs_graph_net_two_classes_iris [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_lasso_vs_graph_net [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
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| Time Elapsed: 0.237522 seconds, 0 minutes. | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(4, 4, 4, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_params_correctly_propagated_in_constructors_biz [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_crop_mask [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_univariate_feature_screening [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_classifier_subclass [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_regressor_subclass [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid_pure_spatial [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_string_params_case [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_crop_mask_empty_mask [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_no_crash_not_fitted [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
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| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.252803 seconds, 0 minutes. | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
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| Time Elapsed: 0.332775 seconds, 0 minutes. | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s finished | |
| Time Elapsed: 0.249405 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
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| Time Elapsed: 0.527995 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s | |
| [Parallel(n_jobs=1)]: Done 3 out of 3 | elapsed: 0.0s finished | |
| Time Elapsed: 0.266143 seconds, 0 minutes. | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. | |
| .[Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.1s remaining: 0.0s | |
| .......................[Parallel(n_jobs=1)]: Done 24 out of 24 | elapsed: 1.4s finished | |
| Time Elapsed: 1.6858 seconds, 0 minutes. | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_checking_inputs_length [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_space_net.py::test_targets_in_y_space_net_regressor [NiftiMasker.fit] Loading data from None | |
| [NiftiMasker.fit] Resampling mask | |
| [NiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(2, 2, 2, 150), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiMasker.transform_single_imgs] Extracting region signals | |
| [NiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/decoding/tests/test_tv.py::test_tvl1_from_gradient [32mPASSED[0m | |
| nilearn/decoding/tests/test_tv.py::test_tvl1_objective_raises_value_error_if_invalid_loss [32mPASSED[0m | |
| nilearn/decoding/tests/test_tv.py::test_tvl1_solver_raises_value_error_if_invalid_loss [32mPASSED[0m | |
| nilearn/decomposition/tests/test_base.py::test_fast_svd [32mPASSED[0m | |
| nilearn/decomposition/tests/test_base.py::test_mask_reducer [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_canica_square_img [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_canica_single_subject [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_component_sign [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_threshold_bound [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_percentile_range [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_masker_attributes_with_fit [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_components_img [32mPASSED[0m | |
| nilearn/decomposition/tests/test_canica.py::test_with_globbing_patterns_with_single_subject [32mPASSED[0m | |
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| nilearn/decomposition/tests/test_canica.py::test_canica_score [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_dict_learning [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_component_sign [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_masker_attributes_with_fit [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_components_img [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_with_globbing_patterns_with_single_subject [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_with_globbing_patterns_with_multi_subjects [32mPASSED[0m | |
| nilearn/decomposition/tests/test_dict_learning.py::test_dictlearning_score [32mPASSED[0m | |
| nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca [32mPASSED[0m | |
| nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca_score [32mPASSED[0m | |
| nilearn/decomposition/tests/test_multi_pca.py::test_components_img [32mPASSED[0m | |
| nilearn/decomposition/tests/test_multi_pca.py::test_with_globbing_patterns_with_single_image [32mPASSED[0m | |
| nilearn/decomposition/tests/test_multi_pca.py::test_with_globbing_patterns_with_multiple_images [32mPASSED[0m | |
| nilearn/glm/model.py::nilearn.glm.model.LikelihoodModelResults.conf_int [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_invalid_separator [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_with_2D_dataframe [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_with_1D_dataframe [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_invalid_filepath [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_pandas_dataframe [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_binary_opening_an_image [32mPASSED[0m | |
| nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_binary_bytearray_of_ints_data [32mPASSED[0m | |
| nilearn/glm/tests/test_contrasts.py::test_expression_to_contrast_vector [32mPASSED[0m | |
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| nilearn/glm/tests/test_contrasts.py::test_t_contrast_add [32mPASSED[0m | |
| nilearn/glm/tests/test_contrasts.py::test_fixed_effect_contrast [32mPASSED[0m | |
| nilearn/glm/tests/test_contrasts.py::test_fixed_effect_contrast_nonzero_effect [32mPASSED[0m | |
| nilearn/glm/tests/test_contrasts.py::test_F_contrast_add [32mPASSED[0m | |
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| nilearn/glm/tests/test_contrasts.py::test_low_level_fixed_effects [32mPASSED[0m | |
| nilearn/glm/tests/test_contrasts.py::test_one_minus_pvalue [32mPASSED[0m | |
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| nilearn/glm/tests/test_dmtx.py::test_design_matrix10 [32mPASSED[0m | |
| nilearn/glm/tests/test_dmtx.py::test_convolve_regressors [32mPASSED[0m | |
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| nilearn/glm/tests/test_dmtx.py::test_design_matrix17 A 'modulation' column was found in the given events data and is used. | |
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| nilearn/glm/tests/test_dmtx.py::test_design_matrix18 A 'modulation' column was found in the given events data and is used. | |
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| nilearn/glm/tests/test_dmtx.py::test_design_matrix19 A 'modulation' column was found in the given events data and is used. | |
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| nilearn/glm/tests/test_dmtx.py::test_design_matrix20 A 'modulation' column was found in the given events data and is used. | |
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| nilearn/glm/tests/test_dmtx.py::test_design_matrix21 [32mPASSED[0m | |
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| nilearn/glm/tests/test_dmtx.py::test_high_pass [32mPASSED[0m | |
| nilearn/glm/tests/test_dmtx.py::test_csv_io A 'modulation' column was found in the given events data and is used. | |
| [32mPASSED[0m | |
| nilearn/glm/tests/test_dmtx.py::test_spm_1 [32mPASSED[0m | |
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| nilearn/glm/tests/test_first_level.py::test_high_level_glm_one_session Computing run 1 out of 1 runs (go take a coffee, a big one) | |
| Computation of 1 runs done in 0 seconds | |
| [32mPASSED[0m | |
| nilearn/glm/tests/test_first_level.py::test_explicit_fixed_effects [32mPASSED[0m | |
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| nilearn/glm/tests/test_first_level.py::test_glm_AR_estimates [32mPASSED[0m | |
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| nilearn/glm/tests/test_first_level.py::test_fmri_inputs [32mPASSED[0m | |
| nilearn/glm/tests/test_first_level.py::test_first_level_design_creation [32mPASSED[0m | |
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| nilearn/glm/tests/test_first_level.py::test_first_level_glm_computation_with_memory_caching ________________________________________________________________________________ | |
| [Memory] Calling nilearn.image.resampling.resample_img... | |
| resample_img(<nibabel.nifti1.Nifti1Image object at 0x1b31de2b0>, target_affine=None, target_shape=None, copy=False, interpolation='nearest') | |
| _____________________________________________________resample_img - 0.0s, 0.0min | |
| ________________________________________________________________________________ | |
| [Memory] Calling nilearn.maskers.nifti_masker._filter_and_mask... | |
| _filter_and_mask(<nibabel.nifti1.Nifti1Image object at 0x1b323d7c0>, <nibabel.nifti1.Nifti1Image object at 0x1b31de2b0>, { 'detrend': False, | |
| 'dtype': None, | |
| 'high_pass': None, | |
| 'high_variance_confounds': False, | |
| 'low_pass': None, | |
| 'reports': True, | |
| 'runs': None, | |
| 'smoothing_fwhm': None, | |
| 'standardize': False, | |
| 'standardize_confounds': True, | |
| 't_r': 10.0, | |
| 'target_affine': None, | |
| 'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=0, confounds=None, sample_mask=None, copy=True, dtype=None) | |
| __________________________________________________filter_and_mask - 0.2s, 0.0min | |
| ________________________________________________________________________________ | |
| [Memory] Calling nilearn.glm.first_level.first_level.run_glm... | |
| run_glm(array([[ 43.848882, ..., -6.476529], | |
| ..., | |
| [-231.2424 , ..., -36.615266]]), | |
| array([[ 0. , ..., 1. ], | |
| ..., | |
| [-0.013185, ..., 1. ]]), noise_model='ar1', bins=100, n_jobs=1) | |
| __________________________________________________________run_glm - 0.1s, 0.0min | |
| [32mPASSED[0m | |
| nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation [32mPASSED[0m | |
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| nilearn/glm/tests/test_first_level.py::test_first_level_residuals [32mPASSED[0m | |
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| nilearn/glm/tests/test_first_level.py::test_first_level_predictions_r_square [32mPASSED[0m | |
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| nilearn/glm/tests/test_paradigm.py::test_check_events A 'modulation' column was found in the given events data and is used. | |
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| nilearn/glm/tests/test_second_level.py::test_high_level_glm_with_paths Fitting second level model. Take a deep breath | |
| Computation of second level model done in 0 seconds | |
| [32mPASSED[0m | |
| nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths Fitting second level model... | |
| Computation of second level model done in 0 seconds | |
| Fitting second level model... | |
| Computation of second level model done in 0 seconds | |
| [32mPASSED[0m | |
| nilearn/glm/tests/test_second_level.py::test_fmri_inputs [32mPASSED[0m | |
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| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_permutation_computation [32mPASSED[0m | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_cluster_level [32mPASSED[0m | |
| nilearn/glm/tests/test_second_level.py::test_second_level_contrast_computation [32mPASSED[0m | |
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| nilearn/glm/tests/test_second_level.py::test_second_level_contrast_computation_with_memory_caching ________________________________________________________________________________ | |
| [Memory] Calling nilearn.image.resampling.resample_img... | |
| resample_img(<nibabel.nifti1.Nifti1Image object at 0x1b32562e0>, target_affine=None, target_shape=None, copy=False, interpolation='nearest') | |
| _____________________________________________________resample_img - 0.0s, 0.0min | |
| ________________________________________________________________________________ | |
| [Memory] Calling nilearn.maskers.nifti_masker._filter_and_mask... | |
| _filter_and_mask([ <nibabel.nifti1.Nifti1Image object at 0x1b3245730>, | |
| <nibabel.nifti1.Nifti1Image object at 0x1b3245730>, | |
| <nibabel.nifti1.Nifti1Image object at 0x1b3245730>, | |
| <nibabel.nifti1.Nifti1Image object at 0x1b3245730>], | |
| <nibabel.nifti1.Nifti1Image object at 0x1b32562e0>, { 'detrend': False, | |
| 'dtype': None, | |
| 'high_pass': None, | |
| 'high_variance_confounds': False, | |
| 'low_pass': None, | |
| 'reports': True, | |
| 'runs': None, | |
| 'smoothing_fwhm': None, | |
| 'standardize': False, | |
| 'standardize_confounds': True, | |
| 't_r': None, | |
| 'target_affine': None, | |
| 'target_shape': None}, memory_level=1, memory=Memory(location=nilearn_cache/joblib), verbose=0, confounds=None, sample_mask=None, copy=True, dtype=None) | |
| __________________________________________________filter_and_mask - 0.5s, 0.0min | |
| ________________________________________________________________________________ | |
| [Memory] Calling nilearn.glm.first_level.first_level.run_glm... | |
| run_glm(array([[ 1.860603, ..., -0.760383], | |
| ..., | |
| [ 1.860603, ..., -0.760383]]), | |
| array([[1], | |
| [1], | |
| [1], | |
| [1]]), n_jobs=1, noise_model='ols') | |
| __________________________________________________________run_glm - 0.0s, 0.0min | |
| ________________________________________________________________________________ | |
| [Memory] Calling nilearn.glm.contrasts.compute_contrast... | |
| compute_contrast(array([0., ..., 0.]), {0.0: <nilearn.glm.regression.SimpleRegressionResults object at 0x1b32563d0>}, array([1.]), None) | |
| _________________________________________________compute_contrast - 0.0s, 0.0min | |
| ________________________________________________________________________________ | |
| [Memory] Calling nilearn.masking.unmask... | |
| unmask(array([ 18.472721, ..., -18.327252]), <nibabel.nifti1.Nifti1Image object at 0x1b32562e0>) | |
| ___________________________________________________________unmask - 0.1s, 0.0min | |
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| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-pos_neg-data0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-pos-data1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-neg-data2] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-masked-data3] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-pos_neg-data0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-pos-data1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-neg-data2] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-masked-data3] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-pos_neg-data0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-pos-data1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-neg-data2] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-masked-data3] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-pos_neg-data0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-pos-data1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-neg-data2] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-masked-data3] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_mni152template_is_reordered [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_carpet] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_prob_atlas] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_threshold_for_uint8[plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_threshold_for_uint8[plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_epi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_glass_brain] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_roi] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_stat_map] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_anat] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_img] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[z-False] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[z-anat_img1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[ortho-False] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[ortho-anat_img1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-z-False] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-z-anat_img1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-ortho-False] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-ortho-anat_img1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-z-False] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-z-anat_img1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-ortho-False] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-ortho-anat_img1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_3d_img [32mPASSED[0m | |
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| nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet_with_atlas Coercing atlas_values to <class 'int'> | |
| [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color0] [32mPASSED[0m | |
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| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-green] [32mPASSED[0m | |
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| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-green] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[ortho] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[x] [32mPASSED[0m | |
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| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[l] [32mPASSED[0m | |
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| nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_kwargs [32mPASSED[0m | |
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| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-True-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-True-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-False-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-False-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-True-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-True-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-False-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-False-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-True-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-True-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-False-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-False-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-True-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-True-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-False-contours] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-False-continuous] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_type_error [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_demo_plot_roi_output_file [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_bad_input [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_save_plot_stat_map[params0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_save_plot_stat_map[params1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[ortho-cut_coords0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[y-2] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[yx-None] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_with_masked_image [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold_for_affine_with_rotation [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params0] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params1] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params2] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params3] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params4] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params5] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape0-x] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape1-y] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape2-z] [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_outlier_cut_coords [32mPASSED[0m | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plotting_functions_with_dim_invalid_input [32mPASSED[0m | |
| nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_adjust_small_clusters [32mPASSED[0m | |
| nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_hierarchical_k_means [32mPASSED[0m | |
| nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_hierarchical_k_means_clustering [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_error_parcellation_method_none [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[kmens] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[avg] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[complte] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_warnings [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_no_warnings [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from None | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from None | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from None | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from None | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from None | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [MultiNiftiMasker.fit] Loading data from None | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 5), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_check_parameters_transform [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-ward] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-complete] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing complete | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-average] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing average | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-rena] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing rena | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-hierarchical_kmeans] [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing hierarchical_kmeans | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 10), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_parcellations.py::test_transform_3d_input_images [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ), Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [MultiNiftiMasker.fit] Loading data from [Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| )] | |
| [MultiNiftiMasker.fit] Computing mask | |
| [MultiNiftiMasker.transform] Resampling mask | |
| [Parcellations] Loading data | |
| [MultiNiftiMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [MultiNiftiMasker.transform_single_imgs] Smoothing images | |
| [MultiNiftiMasker.transform_single_imgs] Extracting region signals | |
| [MultiNiftiMasker.transform_single_imgs] Cleaning extracted signals | |
| [Parcellations] computing ward | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [Parcellations.fit_transform] loading data from Nifti1Image( | |
| shape=(10, 11, 12), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Loading data from Nifti1Image( | |
| shape=(10, 11, 12, 1), | |
| affine=array([[1., 0., 0., 0.], | |
| [0., 1., 0., 0.], | |
| [0., 0., 1., 0.], | |
| [0., 0., 0., 1.]]) | |
| ) | |
| [NiftiLabelsMasker.transform_single_imgs] Smoothing images | |
| [NiftiLabelsMasker.transform_single_imgs] Extracting region signals | |
| [NiftiLabelsMasker.transform_single_imgs] Cleaning extracted signals | |
| [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_invalid_thresholds_in_threshold_maps_ratio [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_nans_threshold_maps_ratio [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_threshold_maps_ratio [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_invalids_extract_types_in_connected_regions [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_regions [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_invalid_threshold_strategies [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_threshold_as_none_and_string_cases [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_region_extractor_fit_and_transform [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_error_messages_connected_label_regions [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_remove_small_regions [32mPASSED[0m | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions [32mPASSED[0m | |
| nilearn/regions/tests/test_rena_clustering.py::test_rena_clustering [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_generate_regions_ts [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_generate_labeled_regions [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_signals_extraction_with_labels [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps_and_labels [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_generate_maps [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test__trim_maps [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float] [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float32] [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float64] [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[int] [32mPASSED[0m | |
| nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[uint64] [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_check_report_dims [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_string [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_strings [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_dict [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_lists [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_arrays [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_ints [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_array_of_ints [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_make_headings_with_contrasts_title_none [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_make_headings_with_contrasts_title_custom [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_make_headings_with_contrasts_none_title_custom [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_slice_z [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_glass_z [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_invalid_plot_type [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_plot_contrasts [32mPASSED[0m | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiLabelsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMapsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiLabelsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiMapsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiLabelsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiLabelsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiLabelsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiMapsMasker] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_displayed_maps_errors[foo] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_displayed_maps_errors[1] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_displayed_maps_errors[displayed_maps2] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_maps_number_errors[displayed_maps0] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_maps_number_errors[displayed_maps1] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps0] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps1] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[1] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[6] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[9] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[12] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[all] [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_image_in_fit [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_labels_masker_report [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_4d_reports [32mPASSED[0m | |
| nilearn/reporting/tests/test_html_report.py::test_overlaid_report [32mPASSED[0m | |
| nilearn/reporting/tests/test_reporting.py::test_local_max [32mPASSED[0m | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table [32mPASSED[0m | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_array [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_nii_gii [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_gii_gz [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_freesurfer [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_error [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surface [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_list [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_gifti_img_to_mesh [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii_gz [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_freesurfer [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_error [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_glob [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_flat_mesh[xy0] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_flat_mesh[xy1] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_flat_mesh[xy2] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vertex_outer_normals [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_load_uniform_ball_cloud [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth0] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth1] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth2] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth3] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth0] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth1] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth2] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth3] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[None-1] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[None-7] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth2-8] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth3-8] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth4-8] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth5-8] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_depth_ball_sampling [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-1-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-1-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-20-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-20-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-1-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-1-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-20-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-20-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_masked_indices [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_projection_matrix [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling_affine [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[linear-True-auto] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[linear-True-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[linear-True-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[linear-False-auto] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[linear-False-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[linear-False-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-auto] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-auto] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-line] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-ball] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling_between_surfaces[linear] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_sampling_between_surfaces[nearest] [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_choose_kind [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_check_mesh [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_check_mesh_and_data [32mPASSED[0m | |
| nilearn/surface/tests/test_surface.py::test_check_surface [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test_check_memory [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test__safe_cache_dir_creation [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test__safe_cache_flush [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test_cache_memory_level [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test_cache_mixin_with_expand_user [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test_cache_mixin_without_expand_user [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test_cache_mixin_wrong_dirs [32mPASSED[0m | |
| nilearn/tests/test_cache_mixin.py::test_cache_shelving [32mPASSED[0m | |
| nilearn/tests/test_class_inspect.py::test_get_params [32mPASSED[0m | |
| nilearn/tests/test_class_inspect.py::test_enclosing_scope_name [32mPASSED[0m | |
| nilearn/tests/test_extmath.py::test_fast_abs_percentile [32mPASSED[0m | |
| nilearn/tests/test_extmath.py::test_is_spd_with_non_symmetrical_matrix [32mPASSED[0m | |
| nilearn/tests/test_extmath.py::test_is_spd_with_symmetrical_matrix [32mPASSED[0m | |
| nilearn/tests/test_extmath.py::test_fast_abs_percentile_no_index_error [32mPASSED[0m | |
| nilearn/tests/test_helpers.py::test_rename_parameters [32mPASSED[0m | |
| nilearn/tests/test_helpers.py::test_transfer_deprecated_param_vals [32mPASSED[0m | |
| nilearn/tests/test_helpers.py::test_future_warn_deprecated_params [32mPASSED[0m | |
| nilearn/tests/test_init.py::test_py36_deprecation_warning [32mPASSED[0m | |
| nilearn/tests/test_init.py::test_python_deprecation_warnings [32mPASSED[0m | |
| nilearn/tests/test_logger.py::test_log [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_high_variance_confounds [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_confounds_standardization [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_compute_epi_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_compute_background_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_compute_brain_mask Template whole-brain mask computation | |
| Template foo mask computation | |
| [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_apply_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_unmask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_intersect_masks_filename [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_intersect_masks [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_compute_multi_epi_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_compute_multi_brain_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_deprecation_warning_compute_multi_gray_matter_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_error_shape [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_nifti_masker_empty_mask_warning [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_unmask_list [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test__extrapolate_out_mask [32mPASSED[0m | |
| nilearn/tests/test_masking.py::test_unmask_from_to_3d_array [32mPASSED[0m | |
| nilearn/tests/test_ndimage.py::test_largest_cc [32mPASSED[0m | |
| nilearn/tests/test_ndimage.py::test_empty_peak_local_max [32mPASSED[0m | |
| nilearn/tests/test_ndimage.py::test_flat_peak_local_max [32mPASSED[0m | |
| nilearn/tests/test_ndimage.py::test_relative_and_absolute_thresholds_in_peak_local_max [32mPASSED[0m | |
| nilearn/tests/test_ndimage.py::test_constant_image_in_peak_local_max [32mPASSED[0m | |
| nilearn/tests/test_ndimage.py::test_trivial_cases_in_peak_local_max [32mPASSED[0m | |
| nilearn/tests/test_niimg.py::test_copy_img [32mPASSED[0m | |
| nilearn/tests/test_niimg.py::test_copy_img_side_effect [32mPASSED[0m | |
| nilearn/tests/test_niimg.py::test_new_img_like_side_effect [32mPASSED[0m | |
| nilearn/tests/test_niimg.py::test_get_target_dtype [32mPASSED[0m | |
| nilearn/tests/test_niimg.py::test_img_data_dtype [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_check_same_fov [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_check_niimg_3d [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_check_niimg_4d [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_check_niimg [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_check_niimg_wildcards [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs_memory [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_repr_niimgs [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_concat_niimgs [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_concat_niimg_dtype [32mPASSED[0m | |
| nilearn/tests/test_niimg_conversions.py::test_iterator_generator [32mPASSED[0m | |
| nilearn/tests/test_numpy_conversions.py::test_are_array_identical [32mPASSED[0m | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray [32mPASSED[0m | |
| nilearn/tests/test_numpy_conversions.py::test_csv_to_array [32mPASSED[0m | |
| nilearn/tests/test_package_installation.py::test_required_package_installation numpy min: 1.16 installed: 1.22.3 | |
| scipy min: 1.2 installed: 1.8.0 | |
| sklearn min: 0.21 installed: 1.0.2 | |
| joblib min: 0.12 installed: 1.1.0 | |
| nibabel min: 2.5 installed: 3.2.2 | |
| pandas min: 0.24.0 installed: 1.4.1 | |
| requests min: 2 installed: 2.26.0 | |
| [32mPASSED[0m | |
| nilearn/tests/test_param_validation.py::test_check_threshold [32mPASSED[0m | |
| nilearn/tests/test_param_validation.py::test_get_mask_volume [32mPASSED[0m | |
| nilearn/tests/test_param_validation.py::test_feature_screening [32mPASSED[0m | |
| nilearn/tests/test_segmentation.py::test_modes_in_random_walker [32mPASSED[0m | |
| nilearn/tests/test_segmentation.py::test_isolated_pixel [32mPASSED[0m | |
| nilearn/tests/test_segmentation.py::test_isolated_seed [32mPASSED[0m | |
| nilearn/tests/test_segmentation.py::test_trivial_cases [32mPASSED[0m | |
| nilearn/tests/test_segmentation.py::test_bad_inputs [32mPASSED[0m | |
| nilearn/tests/test_segmentation.py::test_reorder_labels [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_butterworth [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_standardize [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_detrend [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_mean_of_squares [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_row_sum_of_squares [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_detrending [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_t_r [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_frequencies [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_runs [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_confounds [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_frequencies_using_power_spectrum_density [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_finite_no_inplace_mod [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_high_variance_confounds [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_psc [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_clean_zscore [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_cosine_filter [32mPASSED[0m | |
| nilearn/tests/test_signal.py::test_sample_mask [32mPASSED[0m | |
| nilearn/tests/test_testing.py::test_memory_usage [31mFAILED[0m | |
| nilearn/tests/test_testing.py::test_generate_fake_fmri [32mPASSED[0m | |
| nilearn/tests/test_version.py::test_compare_version[0.1.0->-0.0.1] [32mPASSED[0m | |
| nilearn/tests/test_version.py::test_compare_version[0.1.0->=-0.0.1] [32mPASSED[0m | |
| nilearn/tests/test_version.py::test_compare_version[0.1-==-0.1.0] [32mPASSED[0m | |
| nilearn/tests/test_version.py::test_compare_version[0.0.0-<-0.1.0] [32mPASSED[0m | |
| nilearn/tests/test_version.py::test_compare_version[1.0-!=-0.1.0] [32mPASSED[0m | |
| nilearn/tests/test_version.py::test_compare_version_error [32mPASSED[0m | |
| ================================================================ FAILURES ================================================================= | |
| [31m[1m____________________________________________________________ test_memory_usage ____________________________________________________________[0m | |
| [37m@with_memory_profiler[39;49;00m | |
| [94mdef[39;49;00m [92mtest_memory_usage[39;49;00m(): | |
| [90m# Valid measures (larger objects)[39;49;00m | |
| [94mfor[39;49;00m mem [95min[39;49;00m ([94m500[39;49;00m, [94m200[39;49;00m): | |
| assert_memory_less_than(mem, [94m0.1[39;49;00m, create_object, mem * [94m1024[39;49;00m ** [94m2[39;49;00m) | |
| [90m# Ensure an exception is raised with too small objects as[39;49;00m | |
| [90m# memory_profiler can return non trustable memory measure in this case.[39;49;00m | |
| [94mwith[39;49;00m pytest.raises( | |
| [96mValueError[39;49;00m, | |
| match=[33m"[39;49;00m[33mMemory profiler measured an untrustable memory[39;49;00m[33m"[39;49;00m): | |
| assert_memory_less_than([94m50[39;49;00m, [94m0.1[39;49;00m, | |
| create_object, [94m25[39;49;00m * [94m1024[39;49;00m ** [94m2[39;49;00m) | |
| [90m# Ensure ValueError is raised if memory used is above expected memory[39;49;00m | |
| [90m# limit.[39;49;00m | |
| [94mwith[39;49;00m pytest.raises([96mValueError[39;49;00m, match=[33m"[39;49;00m[33mMemory consumption measured[39;49;00m[33m"[39;49;00m): | |
| > assert_memory_less_than([94m100[39;49;00m, [94m0.1[39;49;00m, create_object, [94m200[39;49;00m * [94m1024[39;49;00m ** [94m2[39;49;00m) | |
| [1m[31mnilearn/tests/test_testing.py[0m:34: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| memory_limit = 100, tolerance = 0.1, callable_obj = <function create_object at 0x1b2c201f0>, args = (209715200,), kwargs = {} | |
| mem_used = 0.0 | |
| [94mdef[39;49;00m [92massert_memory_less_than[39;49;00m(memory_limit, tolerance, | |
| callable_obj, *args, **kwargs): | |
| [33m"""Check memory consumption of a callable stays below a given limit.[39;49;00m | |
| [33m[39;49;00m | |
| [33m Parameters[39;49;00m | |
| [33m ----------[39;49;00m | |
| [33m memory_limit : int[39;49;00m | |
| [33m The expected memory limit in MiB.[39;49;00m | |
| [33m[39;49;00m | |
| [33m tolerance : float[39;49;00m | |
| [33m As memory_profiler results have some variability, this adds some[39;49;00m | |
| [33m tolerance around memory_limit. Accepted values are in range [0.0, 1.0].[39;49;00m | |
| [33m[39;49;00m | |
| [33m callable_obj : callable[39;49;00m | |
| [33m The function to be called to check memory consumption.[39;49;00m | |
| [33m[39;49;00m | |
| [33m """[39;49;00m | |
| mem_used = memory_used(callable_obj, *args, **kwargs) | |
| [94mif[39;49;00m mem_used > memory_limit * ([94m1[39;49;00m + tolerance): | |
| [94mraise[39;49;00m [96mValueError[39;49;00m([33m"[39;49;00m[33mMemory consumption measured ([39;49;00m[33m{0:.2f}[39;49;00m[33m MiB) is [39;49;00m[33m"[39;49;00m | |
| [33m"[39;49;00m[33mgreater than required memory limit ([39;49;00m[33m{1}[39;49;00m[33m MiB) within [39;49;00m[33m"[39;49;00m | |
| [33m"[39;49;00m[33maccepted tolerance ([39;49;00m[33m{2:.2f}[39;49;00m[33m%[39;49;00m[33m).[39;49;00m[33m"[39;49;00m | |
| [33m"[39;49;00m[33m"[39;49;00m.format(mem_used, memory_limit, tolerance * [94m100[39;49;00m)) | |
| [90m# We are confident in memory_profiler measures above 100MiB.[39;49;00m | |
| [90m# We raise an error if the measure is below the limit of 50MiB to avoid[39;49;00m | |
| [90m# false positive.[39;49;00m | |
| [94mif[39;49;00m mem_used < [94m50[39;49;00m: | |
| > [94mraise[39;49;00m [96mValueError[39;49;00m([33m"[39;49;00m[33mMemory profiler measured an untrustable memory [39;49;00m[33m"[39;49;00m | |
| [33m"[39;49;00m[33mconsumption ([39;49;00m[33m{0:.2f}[39;49;00m[33m MiB). The expected memory [39;49;00m[33m"[39;49;00m | |
| [33m"[39;49;00m[33mlimit was [39;49;00m[33m{1:.2f}[39;49;00m[33m MiB. Try to bench with larger [39;49;00m[33m"[39;49;00m | |
| [33m"[39;49;00m[33mobjects (at least 100MiB in memory).[39;49;00m[33m"[39;49;00m. | |
| [96mformat[39;49;00m(mem_used, memory_limit)) | |
| [1m[31mE ValueError: Memory profiler measured an untrustable memory consumption (0.00 MiB). The expected memory limit was 100.00 MiB. Try to bench with larger objects (at least 100MiB in memory).[0m | |
| [1m[31mnilearn/_utils/testing.py[0m:98: ValueError | |
| [33mDuring handling of the above exception, another exception occurred:[0m | |
| [37m@with_memory_profiler[39;49;00m | |
| [94mdef[39;49;00m [92mtest_memory_usage[39;49;00m(): | |
| [90m# Valid measures (larger objects)[39;49;00m | |
| [94mfor[39;49;00m mem [95min[39;49;00m ([94m500[39;49;00m, [94m200[39;49;00m): | |
| assert_memory_less_than(mem, [94m0.1[39;49;00m, create_object, mem * [94m1024[39;49;00m ** [94m2[39;49;00m) | |
| [90m# Ensure an exception is raised with too small objects as[39;49;00m | |
| [90m# memory_profiler can return non trustable memory measure in this case.[39;49;00m | |
| [94mwith[39;49;00m pytest.raises( | |
| [96mValueError[39;49;00m, | |
| match=[33m"[39;49;00m[33mMemory profiler measured an untrustable memory[39;49;00m[33m"[39;49;00m): | |
| assert_memory_less_than([94m50[39;49;00m, [94m0.1[39;49;00m, | |
| create_object, [94m25[39;49;00m * [94m1024[39;49;00m ** [94m2[39;49;00m) | |
| [90m# Ensure ValueError is raised if memory used is above expected memory[39;49;00m | |
| [90m# limit.[39;49;00m | |
| [94mwith[39;49;00m pytest.raises([96mValueError[39;49;00m, match=[33m"[39;49;00m[33mMemory consumption measured[39;49;00m[33m"[39;49;00m): | |
| > assert_memory_less_than([94m100[39;49;00m, [94m0.1[39;49;00m, create_object, [94m200[39;49;00m * [94m1024[39;49;00m ** [94m2[39;49;00m) | |
| [1m[31mE AssertionError: Regex pattern 'Memory consumption measured' does not match 'Memory profiler measured an untrustable memory consumption (0.00 MiB). The expected memory limit was 100.00 MiB. Try to bench with larger objects (at least 100MiB in memory).'.[0m | |
| [1m[31mnilearn/tests/test_testing.py[0m:34: AssertionError | |
| [33m============================================================ warnings summary =============================================================[0m | |
| nilearn/decoding/tests/simulate_graph_net_data.py:32: 20 warnings | |
| nilearn/decoding/tests/test_graph_net.py: 20 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/tests/simulate_graph_net_data.py:32: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated. | |
| Xi = ndimage.filters.gaussian_filter(XX[i, :, :, :], smooth_X) | |
| nilearn/glm/__init__.py:55 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/__init__.py:55: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn. | |
| warn('The nilearn.glm module is experimental. ' | |
| nilearn/input_data/__init__.py:27 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/input_data/__init__.py:27: FutureWarning: The import path 'nilearn.input_data' is deprecated in version 0.9. Importing from 'nilearn.input_data' will be possible at least until release 0.13.0. Please import from 'nilearn.maskers' instead. | |
| warnings.warn(message, FutureWarning) | |
| nilearn/regions/tests/test_signal_extraction.py:416 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/tests/test_signal_extraction.py:416: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| (np.float, np.float32, np.float64, np.int, np.uint), | |
| nilearn/regions/tests/test_signal_extraction.py:416 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/tests/test_signal_extraction.py:416: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| (np.float, np.float32, np.float64, np.int, np.uint), | |
| nilearn/connectome/tests/test_connectivity_matrices.py::test_connectivity_measure_outputs | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/connectome/connectivity_matrices.py:194: UserWarning: Maximum number of iterations 30 reached without getting to the requested tolerance level 1e-07. | |
| warnings.warn("Maximum number of iterations {0} reached without " | |
| nilearn/connectome/tests/test_group_sparse_cov.py::test_group_sparse_covariance | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/connectome/group_sparse_cov.py:245: UserWarning: input signals do not all have unit variance. This can lead to numerical instability. | |
| warnings.warn("input signals do not all have unit variance. This " | |
| nilearn/datasets/tests/test_atlas.py::test_downloader | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/utils.py:781: UserWarning: An error occurred while fetching bald.nii.gz | |
| warnings.warn('An error occurred while fetching %s' % file_) | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_power_2011 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/atlas.py:807: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_seitzman_2018 | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_seitzman_2018 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/atlas.py:1372: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[True] | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[False] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/atlas.py:287: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_atlas.py: 10 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/atlas.py:130: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_dosenbach_2010 | |
| nilearn/datasets/tests/test_atlas.py::test_fetch_coords_dosenbach_2010 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/atlas.py:1292: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer_contrasts | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer_calculation_task | |
| nilearn/datasets/tests/test_func.py::test_fetch_localizer_button_task | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/func.py:764: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[False] | |
| nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[False] | |
| nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[True] | |
| nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[True] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/func.py:1020: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_func.py::test_fetch_spm_multimodal | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/func.py:2397: UserWarning: Mat file appears to be empty. An events.tsv file cannot be generated | |
| warnings.warn( | |
| nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py:1206: UserWarning: No word weight could be loaded, vectorizing Neurosynth words failed. | |
| warnings.warn('No word weight could be loaded, ' | |
| nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_errors | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/neurovault.py:2032: UserWarning: Neurovault download stopped early: too many downloads failed in a row (100) | |
| warnings.warn('Neurovault download stopped early: ' | |
| nilearn/datasets/tests/test_struct.py::test_fetch_oasis_vbm[True] | |
| nilearn/datasets/tests/test_struct.py::test_fetch_oasis_vbm[True] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/struct.py:774: UserWarning: `legacy_format` will default to `False` in release 0.11. Dataset fetchers will then return pandas dataframes by default instead of recarrays. | |
| warnings.warn(_LEGACY_FORMAT_MSG) | |
| nilearn/datasets/tests/test_struct.py::test_load_mni152_template | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/datasets/tests/test_struct.py:152: FutureWarning: Default resolution of the MNI template will change from 2mm to 1mm in version 0.10.0 | |
| template_nii_2mm = struct.load_mni152_template() | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_binary_classification | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_multiclass_classification | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_multiclass_classification | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_apply_mask | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_split_cv | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_split_cv | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/_masker_validation.py:97: UserWarning: Overriding provided-default estimator parameters with provided masker parameters : | |
| Parameter standardize : | |
| Masker parameter False - overriding estimator parameter True | |
| warnings.warn(warn_str) | |
| nilearn/decoding/tests/test_decoder.py: 26 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:197: UserWarning: Brain mask is smaller than .5% of the volume human brain. This object is probably not tuned tobe used on such data. | |
| screening_percentile_ = _adjust_screening_percentile( | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_regression | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/decoder.py:141: UserWarning: Use a custom estimator at your own risk of the process not working as intended. | |
| warnings.warn('Use a custom estimator at your own risk ' | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_classification_string_label | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/decoder.py:518: UserWarning: After clustering and screening, the decoding model will be trained only on 4 features. Consider raising clustering_percentile or screening_percentile parameters | |
| warnings.warn( | |
| nilearn/decoding/tests/test_decoder.py: 10 warnings | |
| /usr/local/lib/python3.9/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations. | |
| warnings.warn( | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_apply_mask | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:264: UserWarning: The frequency specified for the high pass filter is too high to be handled by a digital filter (superior to nyquist frequency). It has been lowered to 1.00 (nyquist frequency). | |
| warnings.warn( | |
| nilearn/decoding/tests/test_decoder.py::test_decoder_apply_mask | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:264: UserWarning: The frequency specified for the low pass filter is too high to be handled by a digital filter (superior to nyquist frequency). It has been lowered to 1.00 (nyquist frequency). | |
| warnings.warn( | |
| nilearn/decoding/tests/test_graph_net.py::test_logistic_derivative_lipschitz_constant | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/objective_functions.py:226: RuntimeWarning: overflow encountered in exp | |
| t = np.exp(t, t) | |
| nilearn/decoding/tests/test_graph_net.py: 4 warnings | |
| nilearn/decoding/tests/test_same_api.py: 16 warnings | |
| nilearn/decoding/tests/test_space_net.py: 13 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/space_net.py:836: UserWarning: Brain mask is smaller than .5% of the volume human brain. This object is probably not tuned tobe used on such data. | |
| self.screening_percentile_ = _adjust_screening_percentile( | |
| nilearn/decoding/tests/test_graph_net.py: 1 warning | |
| nilearn/decoding/tests/test_same_api.py: 12 warnings | |
| nilearn/decoding/tests/test_space_net.py: 12 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/space_net.py:693: UserWarning: Specified l1_ratio = 1. It's advised to only specify values of l1_ratio strictly between 0 and 1. | |
| warnings.warn( | |
| nilearn/decoding/tests/test_graph_net.py::test_tikhonov_regularization_vs_graph_net | |
| nilearn/decoding/tests/test_space_net.py::test_tv_regression_3D_image_doesnt_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/decoding/space_net.py:693: UserWarning: Specified l1_ratio = 0. It's advised to only specify values of l1_ratio strictly between 0 and 1. | |
| warnings.warn( | |
| nilearn/decoding/tests/test_space_net.py::test_lasso_vs_graph_net | |
| /usr/local/lib/python3.9/site-packages/sklearn/linear_model/_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead. | |
| warnings.warn( | |
| nilearn/decoding/tests/test_space_net.py::test_univariate_feature_screening | |
| /usr/local/lib/python3.9/site-packages/sklearn/feature_selection/_univariate_selection.py:109: RuntimeWarning: invalid value encountered in true_divide | |
| msw = sswn / float(dfwn) | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| /usr/local/lib/python3.9/site-packages/scipy/stats/_stats_py.py:4529: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficient is not defined. | |
| warnings.warn(SpearmanRConstantInputWarning()) | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| /usr/local/lib/python3.9/site-packages/numpy/lib/function_base.py:2829: RuntimeWarning: invalid value encountered in true_divide | |
| c /= stddev[:, None] | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| /usr/local/lib/python3.9/site-packages/numpy/lib/function_base.py:2830: RuntimeWarning: invalid value encountered in true_divide | |
| c /= stddev[None, :] | |
| nilearn/decomposition/tests/test_canica.py::test_canica_square_img | |
| nilearn/decomposition/tests/test_canica.py::test_canica_single_subject | |
| nilearn/decomposition/tests/test_dict_learning.py::test_dict_learning | |
| nilearn/decomposition/tests/test_dict_learning.py::test_dict_learning | |
| nilearn/decomposition/tests/test_dict_learning.py::test_dict_learning | |
| nilearn/decomposition/tests/test_dict_learning.py::test_component_sign | |
| nilearn/image/tests/test_image.py::test__smooth_array | |
| nilearn/image/tests/test_image.py::test_smooth_img | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/image.py:207: UserWarning: The parameter 'fwhm' for smoothing is specified as 0.0. Setting it to None (no smoothing will be performed) | |
| warnings.warn("The parameter 'fwhm' for smoothing is specified " | |
| nilearn/decomposition/tests/test_canica.py::test_masker_attributes_with_fit | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/_masker_validation.py:97: UserWarning: Overriding provided-default estimator parameters with provided masker parameters : | |
| Parameter detrend : | |
| Masker parameter False - overriding estimator parameter True | |
| Parameter mask_strategy : | |
| Masker parameter background - overriding estimator parameter epi | |
| Parameter smoothing_fwhm : | |
| Masker parameter None - overriding estimator parameter 6 | |
| Parameter standardize : | |
| Masker parameter False - overriding estimator parameter True | |
| warnings.warn(warn_str) | |
| nilearn/decomposition/tests/test_dict_learning.py::test_masker_attributes_with_fit | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/_masker_validation.py:97: UserWarning: Overriding provided-default estimator parameters with provided masker parameters : | |
| Parameter detrend : | |
| Masker parameter False - overriding estimator parameter True | |
| Parameter mask_strategy : | |
| Masker parameter background - overriding estimator parameter epi | |
| Parameter smoothing_fwhm : | |
| Masker parameter None - overriding estimator parameter 4 | |
| Parameter standardize : | |
| Masker parameter False - overriding estimator parameter True | |
| warnings.warn(warn_str) | |
| nilearn/decomposition/tests/test_dict_learning.py::test_masker_attributes_with_fit | |
| /usr/local/lib/python3.9/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 | |
| model = cd_fast.enet_coordinate_descent_gram( | |
| nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_cuts_empty_mask_no_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/masking.py:292: MaskWarning: Computed an empty mask. Are you sure that input data are EPI images not detrended. | |
| mask, affine = _post_process_mask(mask, affine, opening=opening, | |
| nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/_masker_validation.py:97: UserWarning: Overriding provided-default estimator parameters with provided masker parameters : | |
| Parameter mask_strategy : | |
| Masker parameter background - overriding estimator parameter epi | |
| warnings.warn(warn_str) | |
| nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/_masker_validation.py:97: UserWarning: Overriding provided-default estimator parameters with provided masker parameters : | |
| Parameter mask_args : | |
| Masker parameter {'opening': 0} - overriding estimator parameter None | |
| Parameter mask_strategy : | |
| Masker parameter background - overriding estimator parameter epi | |
| warnings.warn(warn_str) | |
| nilearn/decomposition/tests/test_multi_pca.py: 4 warnings | |
| nilearn/maskers/tests/test_nifti_maps_masker.py: 9 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/numpy_conversions.py:21: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| if (((arr.itemsize == 1 and dtype in (bool, np.bool)) or | |
| nilearn/glm/tests/test_contrasts.py::test_F_contrast_add | |
| nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_data | |
| nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/contrasts.py:352: UserWarning: Running approximate fixed effects on F statistics. | |
| warn('Running approximate fixed effects on F statistics.') | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix10 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:169: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| onset = events.onset[events.trial_type == 'c0'].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix11 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:316: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| onset = events.onset[events.trial_type == 'c0'].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix12 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:329: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| onset = events.onset[events.trial_type == 'c2'].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix13 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:342: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| onset = events.onset[events.trial_type == 'c0'].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix14 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:356: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| onset = events.onset[events.trial_type == 'c0'].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix17 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:397: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| ct = events.onset[events.trial_type == 'c0'].astype(np.int) + 1 | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix18 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:409: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| ct = events.onset[events.trial_type == 'c0'].astype(np.int) + 3 | |
| nilearn/glm/tests/test_dmtx.py::test_design_matrix19 | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:422: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| idx = events.onset[events.trial_type == 0].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_fir_block | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_dmtx.py:460: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| idx = bp['onset'][bp['trial_type'] == 1].astype(np.int) | |
| nilearn/glm/tests/test_dmtx.py::test_high_pass | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/design_matrix.py:106: UserWarning: High-pass filter will span all accessible frequencies and saturate the design matrix. You may want to reduce the high_pass value.The provided value is 1.0 Hz | |
| warn('High-pass filter will span all accessible frequencies ' | |
| nilearn/glm/tests/test_first_level.py::test_explicit_fixed_effects | |
| nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_data | |
| nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_data | |
| nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_paths | |
| nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:676: UserWarning: One contrast given, assuming it for all 2 runs | |
| warn('One contrast given, assuming it for all %d runs' % n_runs) | |
| nilearn/glm/tests/test_first_level.py::test_high_level_glm_null_contrasts | |
| nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/contrasts.py:130: UserWarning: Contrast for session 1 is null | |
| warn('Contrast for session %d is null' % i) | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/glm.py:303: RuntimeWarning: divide by zero encountered in double_scalars | |
| cond = smax / smin | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_utils.py::test_full_rank | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/glm.py:307: UserWarning: Matrix is singular at working precision, regularizing... | |
| warn('Matrix is singular at working precision, regularizing...') | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:452: UserWarning: If design matrices are supplied, confounds and events will be ignored. | |
| warn( | |
| nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/contrasts.py:130: UserWarning: Contrast for session 0 is null | |
| warn('Contrast for session %d is null' % i) | |
| nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:920: UserWarning: SliceTimingRef not found in file bids_dataset/sub-01/ses-01/func/sub-01_ses-01_task-main_run-01_bold.json. It will be assumed that the slice timing reference is 0.0 percent of the repetition time. If it is not the case it will need to be set manually in the generated list of models | |
| warn('SliceTimingRef not found in file %s. It will be assumed' | |
| nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:920: UserWarning: SliceTimingRef not found in file bids_dataset/sub-01/ses-01/func/sub-01_ses-01_task-localizer_bold.json. It will be assumed that the slice timing reference is 0.0 percent of the repetition time. If it is not the case it will need to be set manually in the generated list of models | |
| warn('SliceTimingRef not found in file %s. It will be assumed' | |
| nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:920: UserWarning: SliceTimingRef not found in file bids_dataset/sub-01/func/sub-01_task-main_run-01_bold.json. It will be assumed that the slice timing reference is 0.0 percent of the repetition time. If it is not the case it will need to be set manually in the generated list of models | |
| warn('SliceTimingRef not found in file %s. It will be assumed' | |
| nilearn/glm/tests/test_regression.py::test_predicted_r_square | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/regression.py:235: RuntimeWarning: divide by zero encountered in double_scalars | |
| dispersion = np.sum(wresid ** 2, 0) / ( | |
| nilearn/glm/tests/test_second_level.py::test_infer_effect_maps | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:97: RuntimeWarning: invalid value encountered in true_divide | |
| r /= denom * x.shape[-1] | |
| nilearn/glm/tests/test_second_level.py: 12 warnings | |
| nilearn/glm/tests/test_utils.py: 1 warning | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/glm.py:332: RuntimeWarning: divide by zero encountered in true_divide | |
| return np.where(X <= 0, 0, 1. / X) | |
| nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths | |
| nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_permutation_computation | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_contrast_computation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/mass_univariate/permuted_least_squares.py:623: UserWarning: If "threshold" is not set, then masker will be ignored. | |
| warnings.warn( | |
| nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths | |
| nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_permutation_computation | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_cluster_level | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_contrast_computation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/mass_univariate/permuted_least_squares.py:149: RuntimeWarning: divide by zero encountered in true_divide | |
| return beta_targetvars_testedvars * np.sqrt((dof - 1.) / rss) | |
| nilearn/glm/tests/test_second_level.py::test_fmri_inputs | |
| nilearn/glm/tests/test_second_level.py::test_fmri_inputs | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/design_matrix.py:475: UserWarning: Attention: Design matrix is singular. Aberrant estimates are expected. | |
| warn('Attention: Design matrix is singular. Aberrant estimates ' | |
| nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[r_square] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/regression.py:386: RuntimeWarning: invalid value encountered in true_divide | |
| return np.var(self.predicted, 0) / np.var(self.whitened_Y, 0) | |
| nilearn/glm/tests/test_second_level.py: 10 warnings | |
| nilearn/mass_univariate/tests/test__utils.py: 5 warnings | |
| nilearn/mass_univariate/tests/test_permuted_least_squares.py: 10 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/mass_univariate/_utils.py:120: DeprecationWarning: Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| labeled_arr3d, _ = ndimage.measurements.label(arr3d > 0, bin_struct) | |
| nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_cluster_level | |
| nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_cluster_level_parameters_smoke | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/mass_univariate/permuted_least_squares.py:837: DeprecationWarning: Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| labeled_arr3d, _ = ndimage.measurements.label( | |
| nilearn/glm/tests/test_thresholding.py::test_threshold_stats_img | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:72: UserWarning: The given float value must not exceed 5.0. But, you have given threshold=100 | |
| warnings.warn("The given float value must not exceed {0}. " | |
| nilearn/glm/tests/test_thresholding.py: 18 warnings | |
| nilearn/image/tests/test_image.py: 8 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/image.py:800: DeprecationWarning: Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| label_map = ndimage.measurements.label(binarized, bin_struct)[0] | |
| nilearn/glm/tests/test_thresholding.py::test_all_resolution_inference | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/thresholding.py:46: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure. | |
| plt.show(block=False) | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:63: UserWarning: Mean values of 0 observed.The data have probably been centered.Scaling might not work as expected | |
| warn('Mean values of 0 observed.' | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_utils.py:127: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj). | |
| * deprecated from version: 3.0 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0 | |
| assert_almost_equal(z_map_seed1_vs_seed2.get_data().min(), | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_utils.py:128: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj). | |
| * deprecated from version: 3.0 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0 | |
| -z_map_seed2_vs_seed1.get_data().max(), | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_utils.py:130: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj). | |
| * deprecated from version: 3.0 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0 | |
| assert_almost_equal(z_map_seed1_vs_seed2.get_data().max(), | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/tests/test_utils.py:131: DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which has a more predictable return type. To obtain get_data() behavior going forward, use numpy.asanyarray(img.dataobj). | |
| * deprecated from version: 3.0 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 5.0 | |
| -z_map_seed2_vs_seed1.get_data().min(), | |
| nilearn/image/image.py::nilearn.image.image.math_img | |
| <string>:1: RuntimeWarning: divide by zero encountered in log | |
| nilearn/image/tests/test_image.py::test_threshold_img_copy | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:72: UserWarning: The given float value must not exceed 1.0. But, you have given threshold=2 | |
| warnings.warn("The given float value must not exceed {0}. " | |
| nilearn/image/tests/test_image.py::test_isnan_threshold_img_data | |
| nilearn/maskers/tests/test_nifti_spheres_masker.py::test_is_nifti_spheres_masker_give_nans | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/niimg.py:61: UserWarning: Non-finite values detected. These values will be replaced with zeros. | |
| warn( | |
| nilearn/image/tests/test_image.py::test_clean_img | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:231: RuntimeWarning: invalid value encountered in subtract | |
| signals -= np.mean(signals, axis=0) | |
| nilearn/image/tests/test_resampling.py: 12 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:531: UserWarning: Casting data from int64 to float64 | |
| warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux)) | |
| nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/tests/test_resampling.py:443: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. | |
| full_data[[slice(1, 1 + s) for s in core_shape]] = core_data | |
| nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| nilearn/image/tests/test_resampling.py::test_crop | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/image.py:446: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. | |
| padded[tuple(target_slices)] = array[source_slices].copy() | |
| nilearn/image/tests/test_resampling.py::test_resampling_nan | |
| nilearn/image/tests/test_resampling.py::test_resampling_nan | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/tests/test_resampling.py:496: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. | |
| full_data[[slice(1, 1 + s) for s in core_shape]] = core_data | |
| nilearn/image/tests/test_resampling.py: 2 warnings | |
| nilearn/maskers/tests/test_nifti_maps_masker.py: 9 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:273: UserWarning: Resampling binary images with continuous or linear interpolation. This might lead to unexpected results. You might consider using nearest interpolation instead. | |
| warnings.warn("Resampling binary images with continuous or " | |
| nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/tests/test_resampling.py:826: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| for dtype in [np.int, np.int8, np.int16, np.int32, np.int64, | |
| nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/tests/test_resampling.py:828: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| np.float32, np.float64, np.float, '>i8', '<i8']: | |
| nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:531: UserWarning: Casting data from int8 to float32 | |
| warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux)) | |
| nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:531: UserWarning: Casting data from int16 to float32 | |
| warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux)) | |
| nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:531: UserWarning: Casting data from int32 to float32 | |
| warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux)) | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_different_affines | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_3d_images | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_shelving | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_shelving | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/niimg_conversions.py:150: UserWarning: Affine is different across subjects. Realignement on first subject affine forced | |
| warnings.warn('Affine is different across subjects.' | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_shelving | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/cache_mixin.py:304: UserWarning: memory_level is currently set to 0 but a Memory object has been provided. Setting memory_level to 1. | |
| warnings.warn("memory_level is currently set to 0 but " | |
| nilearn/maskers/tests/test_multi_nifti_masker.py: 13 warnings | |
| nilearn/maskers/tests/test_nifti_masker.py: 7 warnings | |
| /usr/local/lib/python3.9/site-packages/joblib/backports.py:36: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. | |
| if LooseVersion(np.__version__) < '1.13': | |
| nilearn/maskers/tests/test_multi_nifti_masker.py: 13 warnings | |
| nilearn/maskers/tests/test_nifti_masker.py: 7 warnings | |
| /usr/local/lib/python3.9/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. | |
| other = LooseVersion(other) | |
| nilearn/maskers/tests/test_multi_nifti_masker.py: 1 warning | |
| nilearn/maskers/tests/test_nifti_masker.py: 1 warning | |
| nilearn/plotting/tests/test_html_stat_map.py: 8 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/masking.py:569: MaskWarning: Computed an empty mask. whole-brain mask is empty, lower the threshold or check your input FOV | |
| mask, affine = _post_process_mask(mask, target_img.affine, opening=opening, | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[gm-template] | |
| nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-gm-template] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/masking.py:569: MaskWarning: Computed an empty mask. gm mask is empty, lower the threshold or check your input FOV | |
| mask, affine = _post_process_mask(mask, target_img.affine, opening=opening, | |
| nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[wm-template] | |
| nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-wm-template] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/masking.py:569: MaskWarning: Computed an empty mask. wm mask is empty, lower the threshold or check your input FOV | |
| mask, affine = _post_process_mask(mask, target_img.affine, opening=opening, | |
| nilearn/maskers/tests/test_nifti_labels_masker.py: 19 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `mean` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `median` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `sum` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `minimum` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `maximum` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `standard_deviation` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: Please use `variance` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| reduction_function = getattr(ndimage.measurements, strategy) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_resampling | |
| /usr/local/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:684: RuntimeWarning: invalid value encountered in true_divide | |
| return sum / numpy.asanyarray(count).astype(numpy.float64) | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_resampling | |
| nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_resampling | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_labels_masker.py:462: UserWarning: After resampling the label image to the data image, the following labels were removed: {8, 9, 5, 7}. Label image only contains 6 labels (including background). | |
| warnings.warn("After resampling the label image to the " | |
| nilearn/maskers/tests/test_nifti_masker.py::test_detrend | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/tests/test_nifti_masker.py:56: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| mask = data.astype(np.int) | |
| nilearn/maskers/tests/test_nifti_masker.py::test_detrend | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:227: UserWarning: Detrending of 3D signal has been requested but would lead to zero values. Skipping. | |
| warnings.warn('Detrending of 3D signal has been requested but ' | |
| nilearn/maskers/tests/test_nifti_masker.py::test_resample | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/tests/test_nifti_masker.py:69: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| mask = data.astype(np.int) | |
| nilearn/maskers/tests/test_nifti_masker.py::test_sessions | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/tests/test_nifti_masker.py:245: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| masker = NiftiMasker(runs=np.ones(3, dtype=np.int)) | |
| nilearn/maskers/tests/test_nifti_spheres_masker.py::test_is_nifti_spheres_masker_give_nans | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_spheres_masker.py:85: UserWarning: The imgs you have fed into fit_transform() contains NaN values which will be converted to zeroes | |
| warnings.warn('The imgs you have fed into fit_transform() contains' | |
| nilearn/mass_univariate/tests/test__utils.py: 4 warnings | |
| nilearn/mass_univariate/tests/test_permuted_least_squares.py: 10 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/mass_univariate/_utils.py:125: DeprecationWarning: Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| temp_labeled_arr3d, _ = ndimage.measurements.label( | |
| nilearn/mass_univariate/tests/test_permuted_least_squares.py: 143 warnings | |
| /usr/local/lib/python3.9/site-packages/_pytest/python.py:192: DeprecationWarning: The "legacy" output structure for "permuted_ols" is deprecated. The default output structure will be changed to "dict" in version 0.13. | |
| result = testfunction(**testargs) | |
| nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_cluster_level_parameters_smoke | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/mass_univariate/permuted_least_squares.py:845: DeprecationWarning: Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| temp_labeled_arr3d, _ = ndimage.measurements.label( | |
| nilearn/plotting/tests/test_displays.py: 65 warnings | |
| nilearn/plotting/tests/test_find_cuts.py: 9 warnings | |
| nilearn/plotting/tests/test_html_stat_map.py: 2 warnings | |
| /usr/local/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:305: DeprecationWarning: In future, it will be an error for 'np.bool_' scalars to be interpreted as an index | |
| return _nd_image.find_objects(input, max_label) | |
| nilearn/plotting/tests/test_displays.py::test_contour_fillings_levels_in_add_contours | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_axes.py:71: UserWarning: No contour levels were found within the data range. | |
| im = getattr(ax, type)(data_2d.copy(), | |
| nilearn/plotting/tests/test_displays.py::test_data_complete_mask[OrthoSlicer] | |
| nilearn/plotting/tests/test_displays.py::test_data_complete_mask[LYRZProjector] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_slicers.py:383: UserWarning: empty mask | |
| get_mask_bounds(new_img_like(img, not_mask, affine)) | |
| nilearn/plotting/tests/test_displays.py::test_data_complete_mask[OrthoSlicer] | |
| nilearn/plotting/tests/test_displays.py::test_data_complete_mask[LYRZProjector] | |
| /usr/local/lib/python3.9/site-packages/numpy/ma/core.py:2826: UserWarning: Warning: converting a masked element to nan. | |
| _data = np.array(data, dtype=dtype, copy=copy, | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_cut_coords | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:140: UserWarning: Could not determine cut coords: All voxels were masked by the thresholding. Returning the center of mass instead. | |
| warnings.warn( | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_cut_coords | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_probabilistic_atlas_cut_coords | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:66: UserWarning: Given img is empty. Returning default cut_coords=(0.0, 0.0, 0.0) instead. | |
| warnings.warn( | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_cut_slices | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/tests/test_find_cuts.py:144: UserWarning: A non-diagonal affine is found in the given image. Reordering the image to get diagonal affine for finding cuts in the slices. | |
| cuts = find_cut_slices(img, direction='z') | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_cut_slices | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/tests/test_find_cuts.py:151: UserWarning: A non-diagonal affine is found in the given image. Reordering the image to get diagonal affine for finding cuts in the slices. | |
| cuts = find_cut_slices(img, direction='z') | |
| nilearn/plotting/tests/test_find_cuts.py::test_find_cut_slices | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/tests/test_find_cuts.py:159: UserWarning: A non-diagonal affine is found in the given image. Reordering the image to get diagonal affine for finding cuts in the slices. | |
| cuts = find_cut_slices(img, direction='z') | |
| nilearn/plotting/tests/test_find_cuts.py::test_singleton_ax_dim | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:296: UserWarning: Too many cuts requested for the data: n_cuts=7, data size=1 | |
| warnings.warn('Too many cuts requested for the data: ' | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_connectome | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_tvpx577g.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_connectome | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_gmkrrkv1.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_connectome | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_ada80ecw.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_connectome | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_j2_z1i1j.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_qvasedav.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_sil1p6w3.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_mbzzbbh_.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_yphgmwry.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_q84v7z3l.html | |
| file size is 2.5M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_document.py::test_temp_file_removing | |
| /usr/local/lib/python3.9/site-packages/_pytest/python.py:192: PytestRemovedIn8Warning: Passing None has been deprecated. | |
| See https://docs.pytest.org/en/latest/how-to/capture-warnings.html#additional-use-cases-of-warnings-in-tests for alternatives in common use cases. | |
| result = testfunction(**testargs) | |
| nilearn/plotting/tests/test_html_document.py::test_temp_file_removing | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_wqbvxwlx.html | |
| file size is 0.0M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_stat_map.py::test_threshold_data | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_stat_map.py:112: UserWarning: Threshold given was 2, but the data has no values below 3. | |
| warnings.warn("Threshold given was {0}, but " | |
| nilearn/plotting/tests/test_html_surface.py::test_fill_html_template | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_8jba3ph9.html | |
| file size is 0.6M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_fill_html_template | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_ui0h9mrm.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_rcmz9_wh.html | |
| file size is 2.1M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_lddz_6yl.html | |
| file size is 2.1M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_q8ody75e.html | |
| file size is 2.1M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_grvogjyp.html | |
| file size is 2.1M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_0o2s66nf.html | |
| file size is 2.1M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_7f4wk_9q.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_o5da439r.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_cym36217.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_6e3j0zy2.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_d_thubig.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_6n34g59t.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/html_document.py:133: UserWarning: Saved HTML in temporary file: /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/nilearn_plot_aam1ngs3.html | |
| file size is 3.7M, delete it when you're done, for example by calling this.remove_temp_file | |
| warnings.warn( | |
| nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_symmetric_cmap[-5-7] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/js_plotting_utils.py:81: UserWarning: vmin cannot be chosen when cmap is symmetric | |
| warnings.warn('vmin cannot be chosen when cmap is symmetric') | |
| nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values6-10-6-5] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/js_plotting_utils.py:85: UserWarning: choosing both vmin and a threshold is not allowed; setting vmin to 0 | |
| warnings.warn('choosing both vmin and a threshold is not allowed; ' | |
| nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values8-7-None-None] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/js_plotting_utils.py:76: UserWarning: you have specified symmetric_cmap=False but the map contains negative values; setting symmetric_cmap to True | |
| warnings.warn('you have specified symmetric_cmap=False ' | |
| nilearn/plotting/tests/test_matplotlib_backend.py::test_should_not_raise_warning_if_backend_is_not_changed | |
| /usr/local/Cellar/python@3.9/3.9.12/Frameworks/Python.framework/Versions/3.9/lib/python3.9/unittest/mock.py:1336: PytestRemovedIn8Warning: Passing None has been deprecated. | |
| See https://docs.pytest.org/en/latest/how-to/capture-warnings.html#additional-use-cases-of-warnings-in-tests for alternatives in common use cases. | |
| return func(*newargs, **newkeywargs) | |
| nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_reorder | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/matrix_plotting.py:120: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix | |
| linkage_matrix = linkage(mat, method=reorder) | |
| nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_reorder | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/matrix_plotting.py:121: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix | |
| ordered_linkage = optimal_leaf_ordering(linkage_matrix, mat) | |
| nilearn/plotting/tests/test_matrix_plotting.py::test_show_contrast_matrix | |
| nilearn/plotting/tests/test_matrix_plotting.py::test_show_contrast_matrix | |
| nilearn/plotting/tests/test_matrix_plotting.py::test_show_contrast_matrix | |
| /usr/local/lib/python3.9/site-packages/numpy/matrixlib/defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| return matrix(data, dtype=dtype, copy=False) | |
| nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf[plotly] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/js_plotting_utils.py:76: UserWarning: | |
| you have specified symmetric_cmap=False but the map contains negative values; setting symmetric_cmap to True | |
| nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map[plotly] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/js_plotting_utils.py:81: UserWarning: | |
| vmin cannot be chosen when cmap is symmetric | |
| nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi[plotly] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/js_plotting_utils.py:85: UserWarning: | |
| choosing both vmin and a threshold is not allowed; setting vmin to 0 | |
| nilearn/plotting/tests/test_surf_plotting.py: 1 warning | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py: 80 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py: 31 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py: 25 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py: 51 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py: 87 warnings | |
| nilearn/reporting/tests/test_glm_reporter.py: 21 warnings | |
| nilearn/reporting/tests/test_html_report.py: 135 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/img_plotting.py:304: DeprecationWarning: | |
| Please use `binary_fill_holes` from the `scipy.ndimage` namespace, the `scipy.ndimage.morphology` namespace is deprecated. | |
| nilearn/plotting/tests/test_surf_plotting.py: 30 warnings | |
| nilearn/surface/tests/test_surface.py: 6 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/surface.py:464: RuntimeWarning: | |
| Mean of empty slice | |
| nilearn/plotting/tests/test_surf_plotting.py: 15 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/img_plotting.py:87: RuntimeWarning: | |
| All-NaN slice encountered | |
| nilearn/plotting/tests/test_surf_plotting.py: 15 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/img_plotting.py:89: RuntimeWarning: | |
| All-NaN slice encountered | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py: 114 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_anat.py: 13 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py: 7 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py: 15 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py: 45 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py: 43 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py: 65 warnings | |
| nilearn/reporting/tests/test_glm_reporter.py: 16 warnings | |
| nilearn/reporting/tests/test_html_report.py: 154 warnings | |
| /usr/local/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:305: DeprecationWarning: | |
| In future, it will be an error for 'np.bool_' scalars to be interpreted as an index | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_prob_atlas] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_roi] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_roi] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_roi] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_empty_slice | |
| nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params2] | |
| /usr/local/lib/python3.9/site-packages/numpy/ma/core.py:2826: UserWarning: | |
| Warning: converting a masked element to nan. | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_roi] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_anat] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_img] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_epi] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_stat_map] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:296: UserWarning: | |
| Too many cuts requested for the data: n_cuts=7, data size=3 | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_roi] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_anat] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_img] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_epi] | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_stat_map] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:296: UserWarning: | |
| Too many cuts requested for the data: n_cuts=5, data size=3 | |
| nilearn/plotting/tests/test_img_plotting/test_img_plotting.py: 9 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py: 1 warning | |
| nilearn/regions/tests/test_region_extractor.py: 2 warnings | |
| nilearn/regions/tests/test_signal_extraction.py: 1 warning | |
| nilearn/reporting/tests/test_reporting.py: 1 warning | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/niimg.py:61: UserWarning: | |
| Non-finite values detected. These values will be replaced with zeros. | |
| nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet_with_atlas | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:531: UserWarning: | |
| Casting data from int32 to float32 | |
| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_with_nans | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:72: UserWarning: | |
| The given float value must not exceed 0.3. But, you have given threshold=0.38 | |
| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_with_too_high_edge_threshold | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:72: UserWarning: | |
| The given float value must not exceed 2.002. But, you have given threshold=1000000000000.0 | |
| nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_non_symmetric | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_projectors.py:166: UserWarning: | |
| 'adjacency_matrix' is not symmetric. A directed graph will be plotted. | |
| nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_with_completely_masked_img[lr] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_with_completely_masked_img[lzry] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_empty_slice | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data0] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data1] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_slicers.py:383: UserWarning: | |
| empty mask | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_display_methods | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[True] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[False] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_display_methods_with_display_mode_tiled | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_axes.py:71: UserWarning: | |
| The following kwargs were not used by contour: 'contours', 'linewidth' | |
| nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[True] | |
| nilearn/tests/test_masking.py::test_compute_multi_epi_mask | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:273: UserWarning: | |
| Resampling binary images with continuous or linear interpolation. This might lead to unexpected results. You might consider using nearest interpolation instead. | |
| nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py: 2 warnings | |
| nilearn/plotting/tests/test_img_plotting/test_plot_roi.py: 8 warnings | |
| nilearn/reporting/tests/test_html_report.py: 4 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_axes.py:71: UserWarning: | |
| No contour levels were found within the data range. | |
| nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params1] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params3] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_axes.py:71: UserWarning: | |
| linewidths is ignored by contourf | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_bad_input | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/img_plotting.py:159: UserWarning: | |
| NaN is not permitted for the vmax and vmin arguments. | |
| Tip: Use np.nanmax() instead of np.max(). | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data0] | |
| nilearn/reporting/tests/test_html_report.py::test_overlaid_report | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:66: UserWarning: | |
| Given img is empty. Returning default cut_coords=(0.0, 0.0, 0.0) instead. | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data1] | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiLabelsMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiLabelsMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_labels_masker_report | |
| nilearn/reporting/tests/test_html_report.py::test_overlaid_report | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:140: UserWarning: | |
| Could not determine cut coords: All voxels were masked by the thresholding. Returning the center of mass instead. | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape0-x] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape1-y] | |
| nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape2-z] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/find_cuts.py:296: UserWarning: | |
| Too many cuts requested for the data: n_cuts=7, data size=1 | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-hierarchical_kmeans] | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-hierarchical_kmeans] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/hierarchical_kmeans_clustering.py:216: UserWarning: | |
| n_clusters should be at most the number of features. Taking n_clusters = 5 instead. | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-hierarchical_kmeans] | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-hierarchical_kmeans] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/tests/test_parcellations.py:60: UserWarning: | |
| The number of generated labels does not match the requested number of parcels. | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_no_warnings | |
| /usr/local/lib/python3.9/site-packages/_pytest/python.py:192: PytestRemovedIn8Warning: | |
| Passing None has been deprecated. | |
| See https://docs.pytest.org/en/latest/how-to/capture-warnings.html#additional-use-cases-of-warnings-in-tests for alternatives in common use cases. | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[rena] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/rena_clustering.py:204: RuntimeWarning: | |
| divide by zero encountered in true_divide | |
| nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[rena] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/tests/test_parcellations.py:109: UserWarning: | |
| The number of generated labels does not match the requested number of parcels. | |
| nilearn/regions/tests/test_parcellations.py: 94 warnings | |
| nilearn/regions/tests/test_signal_extraction.py: 16 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/signal_extraction.py:123: DeprecationWarning: | |
| Please use `mean` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_regions | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/tests/test_region_extractor.py:126: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_regions | |
| nilearn/tests/test_segmentation.py::test_trivial_cases | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/segmentation.py:248: UserWarning: | |
| Random walker only segments unlabeled areas, where labels == 0. No zero valued areas in labels were found. Returning provided labels. | |
| nilearn/regions/tests/test_region_extractor.py: 5 warnings | |
| nilearn/regions/tests/test_signal_extraction.py: 6 warnings | |
| nilearn/tests/test_numpy_conversions.py: 12 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/numpy_conversions.py:21: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/region_extractor.py:521: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/regions/tests/test_region_extractor.py: 55 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/region_extractor.py:527: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/regions/tests/test_region_extractor.py: 55 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/region_extractor.py:529: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/region_extractor.py:531: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps_and_labels | |
| /usr/local/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:684: RuntimeWarning: | |
| invalid value encountered in true_divide | |
| nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps_and_labels | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/regions/tests/test_signal_extraction.py:342: FutureWarning: | |
| Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_plot_contrasts | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| /usr/local/lib/python3.9/site-packages/numpy/matrixlib/defmatrix.py:69: PendingDeprecationWarning: | |
| the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:389: DeprecationWarning: | |
| Deprecated. `scaling_axis` will be removed in 0.11.0. Please use `signal_scaling` instead. | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/glm/first_level/first_level.py:676: UserWarning: | |
| One contrast given, assuming it for all 2 runs | |
| nilearn/reporting/tests/test_glm_reporter.py: 3 warnings | |
| nilearn/reporting/tests/test_reporting.py: 11 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:294: DeprecationWarning: | |
| Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| nilearn/reporting/tests/test_glm_reporter.py: 17 warnings | |
| nilearn/reporting/tests/test_reporting.py: 18 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:74: DeprecationWarning: | |
| Please use `maximum_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated. | |
| nilearn/reporting/tests/test_glm_reporter.py: 17 warnings | |
| nilearn/reporting/tests/test_reporting.py: 18 warnings | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:76: DeprecationWarning: | |
| Please use `minimum_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated. | |
| nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:285: UserWarning: | |
| Attention: No clusters with stat higher than 2.78 | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/matrix_plotting.py:368: UserWarning: | |
| Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/utils.py:8: UserWarning: | |
| Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] | |
| nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/glm.py:332: RuntimeWarning: | |
| divide by zero encountered in true_divide | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_4d_reports | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_masker.py:323: UserWarning: | |
| No image provided to fit in NiftiMasker. Setting image to mask for reporting. | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiLabelsMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_labels_masker_report | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_labels_masker_report | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_labels_masker.py:305: UserWarning: | |
| No image provided to fit in NiftiLabelsMasker. Plotting ROIs of label image on the MNI152Template for reporting. | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMapsMasker] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_maps_masker.py:277: UserWarning: | |
| `generate_report()` received 10 to be displayed. But masker only has 9 maps.Setting number of displayed maps to 9. | |
| nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMapsMasker] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps0] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps1] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[1] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[6] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[9] | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[all] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_maps_masker.py:316: UserWarning: | |
| No image provided to fit in NiftiMapsMasker. Plotting only spatial maps for reporting. | |
| nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps1] | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/maskers/nifti_maps_masker.py:243: FutureWarning: | |
| elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison | |
| nilearn/reporting/tests/test_html_report.py::test_overlaid_report | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/html_report.py:191: UserWarning: | |
| This object has not been fitted yet ! Make sure to run `fit` before inspecting reports. | |
| nilearn/reporting/tests/test_html_report.py::test_overlaid_report | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/plotting/displays/_slicers.py:379: UserWarning: | |
| empty mask | |
| nilearn/reporting/tests/test_reporting.py::test_local_max | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:98: UserWarning: | |
| Attention: At least one of the (sub)peaks falls outside of the cluster body. | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:72: UserWarning: | |
| The given float value must not exceed 5.0. But, you have given threshold=6 | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:285: UserWarning: | |
| Attention: No clusters with stat higher than 6 | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/image.py:800: DeprecationWarning: | |
| Please use `label` from the `scipy.ndimage` namespace, the `scipy.ndimage.measurements` namespace is deprecated. | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:285: UserWarning: | |
| Attention: No clusters with stat higher than 4 | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:285: UserWarning: | |
| Attention: No clusters with stat lower than -6 | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/reporting/_get_clusters_table.py:285: UserWarning: | |
| Attention: No clusters with stat lower than -4 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_nii_gii | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:83: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_nii_gii | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:92: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:316: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:325: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:334: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:409: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:426: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/tests/test_surface.py:440: DeprecationWarning: | |
| giftiio.write function deprecated. Use nibabel.save() instead. | |
| * deprecated from version: 2.1 | |
| * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of version: 4.0 | |
| nilearn/surface/tests/test_surface.py::test_load_uniform_ball_cloud | |
| nilearn/surface/tests/test_surface.py::test_load_uniform_ball_cloud | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/surface/surface.py:54: EfficiencyWarning: | |
| Cached sample positions are provided for n_samples = 10, 20, 40, 80, 160. Since the number of samples does have a big impact on the result, we strongly recommend using one of these values when using kind="ball" for much better performance. | |
| nilearn/tests/test_cache_mixin.py::test__safe_cache_flush | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/cache_mixin.py:144: UserWarning: | |
| Incompatible cache in /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmpeq8hazl0/joblib: old version of nibabel. | |
| nilearn/tests/test_cache_mixin.py::test__safe_cache_flush | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/cache_mixin.py:121: UserWarning: | |
| Incompatible cache in /var/folders/yf/hvh5lq9d3hl3vtmbd752kjz00000gn/T/tmpeq8hazl0/joblib: different version of nibabel. Deleting the cache. Put nilearn.CHECK_CACHE_VERSION to false to avoid this behavior. | |
| nilearn/tests/test_masking.py::test_confounds_standardization | |
| nilearn/tests/test_masking.py::test_confounds_standardization | |
| nilearn/tests/test_masking.py::test_confounds_standardization | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:852: UserWarning: | |
| When confounds are provided, one must perform detrend and/or standardize confounds. You provided detrend=False, standardize_confounds=False. If confounds were not standardized or demeaned before passing to signal.clean signal will not be correctly cleaned. | |
| nilearn/tests/test_masking.py::test_compute_multi_epi_mask | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/image/resampling.py:531: UserWarning: | |
| Casting data from int64 to float64 | |
| nilearn/tests/test_masking.py::test_nifti_masker_empty_mask_warning | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/masking.py:292: MaskWarning: | |
| Computed an empty mask. Are you sure that input data are EPI images not detrended. | |
| nilearn/tests/test_niimg_conversions.py::test_concat_niimgs | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/niimg_conversions.py:150: UserWarning: | |
| Affine is different across subjects. Realignement on first subject affine forced | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:84: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:85: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:88: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:89: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:92: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:93: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:96: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:97: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:100: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:101: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:104: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:105: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:106: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:107: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:110: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:111: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:112: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:113: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:116: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:117: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:118: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:119: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:120: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:121: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:123: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:124: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:125: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:126: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:128: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:129: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:130: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:131: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:132: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:133: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:135: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:136: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:137: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:138: DeprecationWarning: | |
| `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:174: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:175: DeprecationWarning: | |
| `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:220: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:221: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:226: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_numpy_conversions.py:227: DeprecationWarning: | |
| `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. | |
| Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations | |
| nilearn/tests/test_param_validation.py::test_get_mask_volume | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/tests/test_param_validation.py:73: UserWarning: | |
| Couldn't find /usr/share/fsl/data/standard/MNI152_T1_1mm_brain_mask.nii.gz (for testing) | |
| nilearn/tests/test_param_validation.py::test_feature_screening | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/param_validation.py:197: UserWarning: | |
| Brain mask is bigger than the volume of a standard human brain. This object is probably not tuned to be used on such data. | |
| nilearn/tests/test_segmentation.py::test_isolated_pixel | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/segmentation.py:309: UserWarning: | |
| Random walker only segments unlabeled areas, where labels == 0. Data provided only contains isolated seeds and isolated pixels. Returning provided labels. | |
| nilearn/tests/test_segmentation.py::test_trivial_cases | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/_utils/segmentation.py:254: UserWarning: | |
| Random walker received no seed label. Returning provided labels. | |
| nilearn/tests/test_signal.py::test_butterworth | |
| nilearn/tests/test_signal.py::test_clean_t_r | |
| nilearn/tests/test_signal.py::test_clean_frequencies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:264: UserWarning: | |
| The frequency specified for the low pass filter is too high to be handled by a digital filter (superior to nyquist frequency). It has been lowered to 1.00 (nyquist frequency). | |
| nilearn/tests/test_signal.py::test_standardize | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:67: UserWarning: | |
| Standardization of 3D signal has been requested but would lead to zero values. Skipping. | |
| nilearn/tests/test_signal.py::test_detrend | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:227: UserWarning: | |
| Detrending of 3D signal has been requested but would lead to zero values. Skipping. | |
| nilearn/tests/test_signal.py::test_clean_frequencies | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:264: UserWarning: | |
| The frequency specified for the high pass filter is too high to be handled by a digital filter (superior to nyquist frequency). It has been lowered to 1.00 (nyquist frequency). | |
| nilearn/tests/test_signal.py::test_clean_frequencies_using_power_spectrum_density | |
| /usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:1961: UserWarning: | |
| nperseg = 256 is greater than input length = 100, using nperseg = 100 | |
| nilearn/tests/test_signal.py::test_clean_psc | |
| /Volumes/Data/Research/fmri/nilearn/nilearn/signal.py:87: UserWarning: | |
| psc standardization strategy is meaningless for features that have a mean of 0. These time series are set to 0. | |
| -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html | |
| ============================================================ slowest durations ============================================================ | |
| 21.17s call nilearn/image/tests/test_resampling.py::test_resample_img_segmentation_fault | |
| 19.08s call nilearn/decoding/tests/test_decoder.py::test_decoder_multiclass_classification | |
| 18.76s call nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMapsMasker] | |
| 18.69s call nilearn/plotting/tests/test_html_stat_map.py::test_view_img | |
| 18.62s call nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiMapsMasker] | |
| 18.26s call nilearn/decoding/tests/test_decoder.py::test_decoder_regression | |
| 17.84s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[all] | |
| 17.79s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[12] | |
| 17.74s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[9] | |
| 16.03s call nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca | |
| 12.15s call nilearn/glm/tests/test_second_level.py::test_second_level_contrast_computation | |
| 11.93s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[6] | |
| 11.48s call nilearn/regions/tests/test_region_extractor.py::test_region_extractor_fit_and_transform | |
| 10.47s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[average] | |
| 10.46s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[complete] | |
| 10.40s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[ward] | |
| 10.23s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[hierarchical_kmeans] | |
| 10.22s call nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-complete] | |
| 10.21s call nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-ward] | |
| 10.19s call nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-average] | |
| 10.15s call nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| 10.04s call nilearn/reporting/tests/test_html_report.py::test_nifti_labels_masker_report | |
| 10.01s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[kmeans] | |
| 9.98s call nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-hierarchical_kmeans] | |
| 9.97s call nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-kmeans] | |
| 9.95s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[rena] | |
| 9.80s call nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-rena] | |
| 9.77s call nilearn/plotting/tests/test_img_plotting/test_plot_img_comparisons.py::test_plot_img_comparison | |
| 8.22s call nilearn/regions/tests/test_parcellations.py::test_transform_3d_input_images | |
| 8.05s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps1] | |
| 7.95s call nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] | |
| 7.91s call nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] | |
| 7.71s call nilearn/decoding/tests/test_decoder.py::test_decoder_binary_classification | |
| 6.30s call nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params3] | |
| 6.28s call nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params1] | |
| 6.25s call nilearn/decomposition/tests/test_base.py::test_mask_reducer | |
| 6.01s call nilearn/glm/tests/test_thresholding.py::test_all_resolution_inference | |
| 6.01s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_prob_atlas] | |
| 5.98s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps0] | |
| 5.84s call nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| 5.68s call nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| 5.66s call nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| 5.17s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params1] | |
| 5.13s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-average] | |
| 5.11s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-complete] | |
| 5.10s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params2] | |
| 5.10s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-ward] | |
| 5.10s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params3] | |
| 5.08s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params5] | |
| 5.06s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-hierarchical_kmeans] | |
| 5.05s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params4] | |
| 5.04s call nilearn/regions/tests/test_region_extractor.py::test_connected_regions | |
| 5.04s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-complete] | |
| 5.04s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params0] | |
| 5.02s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-ward] | |
| 4.99s call nilearn/decomposition/tests/test_dict_learning.py::test_dict_learning | |
| 4.98s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-average] | |
| 4.94s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-hierarchical_kmeans] | |
| 4.94s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-rena] | |
| 4.89s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-kmeans] | |
| 4.86s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-kmeans] | |
| 4.78s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-rena] | |
| 4.30s call nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca_score | |
| 4.15s call nilearn/decoding/tests/test_searchlight.py::test_searchlight | |
| 3.85s call nilearn/tests/test_masking.py::test_intersect_masks | |
| 3.81s call nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_contrast_computation | |
| 3.81s call nilearn/plotting/tests/test_displays.py::test_contour_fillings_levels_in_add_contours | |
| 3.78s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_save_plot_stat_map[params0] | |
| 3.75s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_save_plot_stat_map[params1] | |
| 3.75s call nilearn/tests/test_masking.py::test_apply_mask | |
| 3.72s call nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params2] | |
| 3.71s call nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params4] | |
| 3.65s call nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths | |
| 3.32s call nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| 3.26s call nilearn/glm/tests/test_first_level.py::test_explicit_fixed_effects | |
| 3.14s call nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_cluster_level | |
| 3.11s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_resampling | |
| 3.10s call nilearn/tests/test_masking.py::test_compute_brain_mask | |
| 3.09s call nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps_and_labels | |
| 3.04s call nilearn/glm/tests/test_second_level.py::test_high_level_glm_with_paths | |
| 3.03s call nilearn/decoding/tests/test_decoder.py::test_decoder_split_cv | |
| 3.02s call nilearn/plotting/tests/test_html_document.py::test_temp_file_removing | |
| 2.97s call nilearn/decomposition/tests/test_canica.py::test_percentile_range | |
| 2.96s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-ward] | |
| 2.95s call nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-complete] | |
| 2.94s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-complete] | |
| 2.93s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-average] | |
| 2.91s call nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params0] | |
| 2.91s call nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-average] | |
| 2.90s call nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-ward] | |
| 2.88s call nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_regression | |
| 2.87s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-hierarchical_kmeans] | |
| 2.82s call nilearn/reporting/tests/test_html_report.py::test_4d_reports | |
| 2.82s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-kmeans] | |
| 2.82s call nilearn/decomposition/tests/test_canica.py::test_masker_attributes_with_fit | |
| 2.81s call nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-hierarchical_kmeans] | |
| 2.79s call nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-kmeans] | |
| 2.77s call nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-rena] | |
| 2.75s call nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-rena] | |
| 2.73s call nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| 2.67s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_image_in_fit | |
| 2.62s call nilearn/interfaces/tests/test_bids.py::test_get_bids_files | |
| 2.58s call nilearn/decomposition/tests/test_dict_learning.py::test_masker_attributes_with_fit | |
| 2.56s call nilearn/tests/test_masking.py::test_confounds_standardization | |
| 2.49s call nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| 2.45s call nilearn/reporting/tests/test_html_report.py::test_overlaid_report | |
| 2.45s call nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier | |
| 2.44s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain | |
| 2.42s call nilearn/tests/test_testing.py::test_memory_usage | |
| 2.40s call nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps | |
| 2.37s call nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| 2.35s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_stat_map] | |
| 2.34s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_stat_map] | |
| 2.33s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_stat_map] | |
| 2.31s call nilearn/connectome/tests/test_connectivity_matrices.py::test_connectivity_measure_outputs | |
| 2.30s call nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[mask-_gm] | |
| 2.27s call nilearn/glm/tests/test_thresholding.py::test_threshold_stats_img | |
| 2.25s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker | |
| 2.24s call nilearn/tests/test_masking.py::test_compute_multi_brain_mask | |
| 2.20s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_roi] | |
| 2.18s call nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[mask-_wm] | |
| 2.17s call nilearn/regions/tests/test_signal_extraction.py::test_signals_extraction_with_labels | |
| 2.17s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_roi] | |
| 2.16s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_roi] | |
| 2.16s call nilearn/tests/test_niimg.py::test_img_data_dtype | |
| 2.11s call nilearn/tests/test_signal.py::test_butterworth | |
| 2.03s call nilearn/decomposition/tests/test_canica.py::test_canica_score | |
| 2.00s call nilearn/tests/test_masking.py::test_unmask | |
| 1.98s call nilearn/plotting/tests/test_find_cuts.py::test_find_cut_coords | |
| 1.97s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-20-ball] | |
| 1.96s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-20-ball] | |
| 1.96s call nilearn/glm/tests/test_second_level.py::test_fmri_inputs | |
| 1.95s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_outlier_cut_coords | |
| 1.94s call nilearn/decomposition/tests/test_canica.py::test_component_sign | |
| 1.94s call nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_data | |
| 1.94s call nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[template-_wm] | |
| 1.94s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data1] | |
| 1.93s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_bad_input | |
| 1.93s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_with_masked_image | |
| 1.93s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_stat_map] | |
| 1.92s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[1] | |
| 1.92s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_stat_map] | |
| 1.90s call nilearn/decomposition/tests/test_dict_learning.py::test_dictlearning_score | |
| 1.90s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_stat_map] | |
| 1.90s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_stat_map] | |
| 1.90s call nilearn/glm/tests/test_second_level.py::test_second_level_residuals | |
| 1.89s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_stat_map] | |
| 1.88s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data0] | |
| 1.87s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_stat_map] | |
| 1.87s call nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[template-_gm] | |
| 1.86s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[y-2] | |
| 1.86s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_stat_map] | |
| 1.86s call nilearn/glm/tests/test_second_level.py::test_second_level_glm_computation | |
| 1.84s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_stat_map] | |
| 1.83s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[yx-None] | |
| 1.82s call nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiLabelsMasker] | |
| 1.82s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_stat_map] | |
| 1.81s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_roi] | |
| 1.80s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-True-continuous] | |
| 1.79s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_stat_map] | |
| 1.79s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_roi] | |
| 1.78s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[True] | |
| 1.78s call nilearn/datasets/tests/test_struct.py::test_fetch_oasis_vbm[False] | |
| 1.78s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_roi] | |
| 1.77s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_roi] | |
| 1.77s call nilearn/tests/test_masking.py::test_compute_multi_epi_mask | |
| 1.77s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_demo_plot_roi_output_file | |
| 1.76s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_roi] | |
| 1.75s call nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiLabelsMasker] | |
| 1.75s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-False-continuous] | |
| 1.75s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-True-continuous] | |
| 1.75s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_roi] | |
| 1.75s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-True-continuous] | |
| 1.75s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-False-continuous] | |
| 1.74s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-False-continuous] | |
| 1.74s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-False-continuous] | |
| 1.74s call nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet_with_atlas | |
| 1.74s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[False] | |
| 1.73s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-average] | |
| 1.73s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-True-continuous] | |
| 1.73s call nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiLabelsMasker] | |
| 1.72s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_stat_map] | |
| 1.72s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_2 | |
| 1.71s call nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| 1.69s call nilearn/surface/tests/test_surface.py::test_load_uniform_ball_cloud | |
| 1.69s call nilearn/image/tests/test_image.py::test_mean_img | |
| 1.68s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_roi] | |
| 1.68s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_cluster_level_parameters_smoke | |
| 1.68s call nilearn/datasets/tests/test_struct.py::test_fetch_oasis_vbm[True] | |
| 1.67s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_roi] | |
| 1.67s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_hemispheres_and_orientations | |
| 1.66s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[ortho-cut_coords0] | |
| 1.64s call nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute_errors[residuals] | |
| 1.64s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-complete] | |
| 1.64s call nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute_errors[r_square] | |
| 1.64s call nilearn/decomposition/tests/test_canica.py::test_canica_square_img | |
| 1.62s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-rena] | |
| 1.62s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_roi] | |
| 1.60s call nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute_errors[predicted] | |
| 1.60s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_display_methods_with_display_mode_tiled | |
| 1.60s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-average] | |
| 1.59s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_display_methods | |
| 1.59s call nilearn/glm/tests/test_second_level.py::test_second_level_contrast_computation_with_memory_caching | |
| 1.59s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-average] | |
| 1.59s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-complete] | |
| 1.59s call nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| 1.58s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-ward] | |
| 1.56s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-complete] | |
| 1.56s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-ward] | |
| 1.54s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-hierarchical_kmeans] | |
| 1.54s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-ward] | |
| 1.53s call nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation | |
| 1.52s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-hierarchical_kmeans] | |
| 1.51s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_roi] | |
| 1.50s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-20-line] | |
| 1.49s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-hierarchical_kmeans] | |
| 1.49s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-kmeans] | |
| 1.47s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-kmeans] | |
| 1.45s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_file_output | |
| 1.45s call nilearn/decomposition/tests/test_multi_pca.py::test_components_img | |
| 1.45s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf[plotly] | |
| 1.44s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-kmeans] | |
| 1.43s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_with_axes_or_figure | |
| 1.43s call nilearn/regions/tests/test_parcellations.py::test_parcellations_no_warnings | |
| 1.42s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-rena] | |
| 1.42s call nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-rena] | |
| 1.40s call nilearn/regions/tests/test_parcellations.py::test_parcellations_warnings | |
| 1.40s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_anat] | |
| 1.38s call nilearn/glm/tests/test_second_level.py::test_fmri_inputs_for_non_parametric_inference | |
| 1.38s call nilearn/image/tests/test_image.py::test_threshold_img | |
| 1.37s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_check_h0_noeffect_labelswap | |
| 1.36s call nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[predicted] | |
| 1.36s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_anat] | |
| 1.35s call nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[r_square] | |
| 1.34s call nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_permutation_computation | |
| 1.34s call nilearn/decoding/tests/test_decoder.py::test_decoder_classification_string_label | |
| 1.34s call nilearn/plotting/tests/test_displays.py::test_slicer_save_to_file[MosaicSlicer] | |
| 1.33s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_anat] | |
| 1.33s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-z-anat_img1] | |
| 1.31s call nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[residuals] | |
| 1.30s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-20-line] | |
| 1.30s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-z-anat_img1] | |
| 1.26s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[z-anat_img1] | |
| 1.26s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_glass_brain] | |
| 1.26s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_colorbar_having_nans | |
| 1.24s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_epi] | |
| 1.24s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_glass_brain] | |
| 1.24s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_glass_brain] | |
| 1.24s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-True-contours] | |
| 1.24s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-False-contours] | |
| 1.23s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_glass_brain] | |
| 1.23s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_glass_brain] | |
| 1.23s call nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiMasker] | |
| 1.23s call nilearn/image/tests/test_image.py::test_largest_cc_img | |
| 1.23s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_glass_brain] | |
| 1.23s call nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiMasker] | |
| 1.23s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_glass_brain] | |
| 1.22s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-False-contours] | |
| 1.22s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-True-contours] | |
| 1.22s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-True-contours] | |
| 1.22s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| 1.21s call nilearn/datasets/tests/test_struct.py::test_load_mni152_gm_mask | |
| 1.21s call nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiMasker] | |
| 1.21s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-False-contours] | |
| 1.21s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-False-contours] | |
| 1.21s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-True-contours] | |
| 1.21s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-ortho-anat_img1] | |
| 1.21s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_img] | |
| 1.20s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_img] | |
| 1.20s call nilearn/connectome/tests/test_group_sparse_cov.py::test_group_sparse_covariance | |
| 1.20s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_img] | |
| 1.20s call nilearn/datasets/tests/test_struct.py::test_load_mni152_wm_mask | |
| 1.20s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-ortho-anat_img1] | |
| 1.20s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_glass_brain] | |
| 1.18s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_epi] | |
| 1.18s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_with_completely_masked_img[lzry] | |
| 1.18s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[ortho-anat_img1] | |
| 1.18s call nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiLabelsMasker] | |
| 1.17s call nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_slice_z | |
| 1.17s call nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMasker] | |
| 1.17s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_epi] | |
| 1.15s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_noncurrent_axes | |
| 1.13s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_anat] | |
| 1.13s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_output_file | |
| 1.12s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_glass_brain] | |
| 1.12s call nilearn/glm/tests/test_first_level.py::test_high_level_glm_one_session | |
| 1.09s call nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_glass_z | |
| 1.07s call nilearn/tests/test_masking.py::test_compute_epi_mask | |
| 1.07s call nilearn/regions/tests/test_parcellations.py::test_error_parcellation_method_none | |
| 1.07s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape1-y] | |
| 1.07s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold_for_affine_with_rotation | |
| 1.07s call nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[kmens] | |
| 1.07s call nilearn/plotting/tests/test_surf_plotting.py::test_plotly_savefig | |
| 1.06s call nilearn/decomposition/tests/test_multi_pca.py::test_with_globbing_patterns_with_multiple_images | |
| 1.06s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape0-x] | |
| 1.05s call nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape2-z] | |
| 1.05s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_with_completely_masked_img[lr] | |
| 1.05s call nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| 1.04s call nilearn/maskers/tests/test_nifti_masker.py::test_dtype | |
| 1.04s call nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[avg] | |
| 1.04s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_add_markers_using_plot_glass_brain | |
| 1.03s call nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[complte] | |
| 1.02s call nilearn/datasets/tests/test_struct.py::test_load_mni152_template | |
| 1.02s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_surf_mesh | |
| 1.00s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_threshold_for_uint8[plot_glass_brain] | |
| 1.00s call nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tv_same_for_pure_l1_another_test | |
| 0.99s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_mask | |
| 0.99s call nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tvl1_same_for_pure_l1 | |
| 0.99s call nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tvl1_same_for_pure_l1_logistic | |
| 0.98s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_shelving | |
| 0.98s call nilearn/glm/tests/test_first_level.py::test_high_level_glm_different_design_matrices | |
| 0.97s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker | |
| 0.96s call nilearn/decoding/tests/test_same_api.py::test_coef_shape | |
| 0.96s call nilearn/datasets/tests/test_struct.py::test_load_mni152_gm_template | |
| 0.94s call nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[template-_brain] | |
| 0.93s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_anat] | |
| 0.93s call nilearn/datasets/tests/test_struct.py::test_load_mni152_wm_template | |
| 0.93s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_anat] | |
| 0.93s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_anat] | |
| 0.92s call nilearn/datasets/tests/test_struct.py::test_load_mni152_brain_mask | |
| 0.92s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_schaefer_2018 | |
| 0.92s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[LYRZProjector] | |
| 0.92s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_empty_slice | |
| 0.91s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_3d_img | |
| 0.91s call nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[mask-_brain] | |
| 0.91s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_anat] | |
| 0.91s call nilearn/decoding/tests/test_space_net.py::test_space_net_no_crash_not_fitted | |
| 0.91s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_threshold_for_uint8[plot_stat_map] | |
| 0.91s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[LZRYProjector] | |
| 0.89s call nilearn/plotting/tests/test_find_cuts.py::test_find_cut_slices | |
| 0.88s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_tuple_cut_coords[cut_coords0] | |
| 0.88s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_anat] | |
| 0.86s call nilearn/decomposition/tests/test_canica.py::test_with_globbing_patterns_with_multi_subjects | |
| 0.85s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_integer_cut_coords[4] | |
| 0.84s call nilearn/glm/tests/test_first_level.py::test_first_level_predictions_r_square | |
| 0.81s call nilearn/glm/tests/test_first_level.py::test_high_level_glm_null_contrasts | |
| 0.81s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_integer_cut_coords[2] | |
| 0.81s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_colorbar | |
| 0.80s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_auto_mask | |
| 0.80s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_non_symmetric | |
| 0.79s call nilearn/decomposition/tests/test_dict_learning.py::test_with_globbing_patterns_with_multi_subjects | |
| 0.79s call nilearn/plotting/tests/test_find_cuts.py::test_passing_of_ncuts_in_find_cut_slices | |
| 0.78s call nilearn/decoding/tests/test_decoder.py::test_check_inputs_length | |
| 0.78s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_epi] | |
| 0.78s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_img] | |
| 0.78s call nilearn/decoding/tests/test_space_net.py::test_tv_regression_3D_image_doesnt_crash | |
| 0.78s call nilearn/decomposition/tests/test_canica.py::test_components_img | |
| 0.77s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_auto_cut_coords[z] | |
| 0.77s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_img] | |
| 0.77s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_auto_cut_coords[y] | |
| 0.77s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_epi] | |
| 0.77s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_tuple_cut_coords[cut_coords1] | |
| 0.76s call nilearn/maskers/tests/test_nifti_masker.py::test_4d_single_scan | |
| 0.76s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[OrthoProjector] | |
| 0.76s call nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_auto_cut_coords[x] | |
| 0.76s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-True-zscore] | |
| 0.75s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_epi] | |
| 0.75s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_standardization | |
| 0.75s call nilearn/decoding/tests/test_graph_net.py::test_max_alpha__squared_loss | |
| 0.73s call nilearn/decomposition/tests/test_dict_learning.py::test_components_img | |
| 0.73s call nilearn/plotting/tests/test_displays.py::test_display_basics[LYRZProjector-l] | |
| 0.73s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[LZRProjector] | |
| 0.73s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_img] | |
| 0.72s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-False-zscore] | |
| 0.72s call nilearn/plotting/tests/test_displays.py::test_display_basics[LZRYProjector-lr] | |
| 0.72s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_nifti_spheres_masker_overlap | |
| 0.72s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_img] | |
| 0.72s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[LYRProjector] | |
| 0.71s call nilearn/tests/test_masking.py::test_high_variance_confounds | |
| 0.71s call nilearn/tests/test_masking.py::test_compute_background_mask | |
| 0.71s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[False-True-psc] | |
| 0.71s call nilearn/decomposition/tests/test_canica.py::test_canica_single_subject | |
| 0.71s call nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float64] | |
| 0.71s call nilearn/glm/tests/test_second_level.py::test_infer_effect_maps | |
| 0.71s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-False-psc] | |
| 0.70s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_masked_array_sparse_matrix | |
| 0.70s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_img] | |
| 0.70s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_epi] | |
| 0.69s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-True-psc] | |
| 0.69s call nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float32] | |
| 0.69s call nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float] | |
| 0.69s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[False-True-zscore] | |
| 0.69s call nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet | |
| 0.69s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[YZProjector] | |
| 0.69s call nilearn/glm/tests/test_first_level.py::test_compute_contrast_num_contrasts | |
| 0.68s call nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[int] | |
| 0.68s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_3d_images | |
| 0.67s call nilearn/plotting/tests/test_find_cuts.py::test_find_probabilistic_atlas_cut_coords | |
| 0.67s call nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[uint64] | |
| 0.66s call nilearn/decomposition/tests/test_multi_pca.py::test_with_globbing_patterns_with_single_image | |
| 0.65s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_standardization | |
| 0.65s call nilearn/decoding/tests/test_space_net.py::test_log_reg_vs_graph_net_two_classes_iris | |
| 0.64s call nilearn/glm/tests/test_second_level.py::test_process_second_level_input_as_firstlevelmodels | |
| 0.64s call nilearn/plotting/tests/test_displays.py::test_display_basics[OrthoProjector-ortho] | |
| 0.63s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[XZProjector] | |
| 0.63s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_img_none_false[None] | |
| 0.63s call nilearn/plotting/tests/test_displays.py::test_data_complete_mask[LYRZProjector] | |
| 0.63s call nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs_memory | |
| 0.62s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_small_radius_inverse | |
| 0.62s call nilearn/tests/test_masking.py::test_intersect_masks_filename | |
| 0.61s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_nifti_spheres_masker_inverse_overlap | |
| 0.61s call nilearn/plotting/tests/test_displays.py::test_display_basics[YZProjector-yz] | |
| 0.61s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes_lyrz_display[node_size0] | |
| 0.60s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_title | |
| 0.60s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[YXProjector] | |
| 0.60s call nilearn/plotting/tests/test_find_cuts.py::test_validity_of_ncuts_error_in_find_cut_slices | |
| 0.59s call nilearn/plotting/tests/test_displays.py::test_display_basics[LYRProjector-r] | |
| 0.59s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_colorbar[False] | |
| 0.59s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[LRProjector] | |
| 0.59s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_img_none_false[5] | |
| 0.59s call nilearn/decoding/tests/test_space_net.py::test_graph_net_classifier_score | |
| 0.59s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_3d_images | |
| 0.58s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map[matplotlib] | |
| 0.57s call nilearn/plotting/tests/test_displays.py::test_demo_mosaic_slicer[5] | |
| 0.57s call nilearn/plotting/tests/test_displays.py::test_display_basics[XZProjector-xz] | |
| 0.56s call nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| 0.56s call nilearn/maskers/tests/test_nifti_masker.py::test_mask_4d | |
| 0.56s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_standardization | |
| 0.56s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[True-True] | |
| 0.56s call nilearn/glm/tests/test_first_level.py::test_first_level_residuals | |
| 0.55s call nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_paths | |
| 0.55s call nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_hierarchical_k_means_clustering | |
| 0.55s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes_lyrz_display[node_size1] | |
| 0.55s call nilearn/plotting/tests/test_displays.py::test_stacked_slicer[XSlicer] | |
| 0.55s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-node_color2] | |
| 0.54s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_small_radius | |
| 0.54s call nilearn/glm/tests/test_first_level.py::test_get_voxelwise_attributes_should_return_as_many_as_design_matrices[shapes1] | |
| 0.53s call nilearn/plotting/tests/test_displays.py::test_stacked_slicer[ZSlicer] | |
| 0.53s call nilearn/regions/tests/test_region_extractor.py::test_invalids_extract_types_in_connected_regions | |
| 0.53s call nilearn/plotting/tests/test_displays.py::test_display_basics[YXProjector-yx] | |
| 0.52s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[ZProjector] | |
| 0.52s call nilearn/decomposition/tests/test_dict_learning.py::test_component_sign | |
| 0.52s call nilearn/tests/test_segmentation.py::test_modes_in_random_walker | |
| 0.52s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lyrz] | |
| 0.52s call nilearn/regions/tests/test_region_extractor.py::test_threshold_maps_ratio | |
| 0.52s call nilearn/plotting/tests/test_displays.py::test_stacked_slicer[YSlicer] | |
| 0.51s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[False-True] | |
| 0.51s call nilearn/decoding/tests/test_decoder.py::test_decoder_apply_mask | |
| 0.51s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_different_affines | |
| 0.51s call nilearn/plotting/tests/test_matrix_plotting.py::test_show_event_plot | |
| 0.51s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[True-False] | |
| 0.50s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[True-False] | |
| 0.50s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-green] | |
| 0.50s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_overlap | |
| 0.50s call nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| 0.50s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[False-False] | |
| 0.49s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-node_color0] | |
| 0.49s call nilearn/decomposition/tests/test_canica.py::test_with_globbing_patterns_with_single_subject | |
| 0.49s call nilearn/image/tests/test_image.py::test_clean_img | |
| 0.49s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_check_h0_noeffect_signswap | |
| 0.49s call nilearn/tests/test_signal.py::test_clean_t_r | |
| 0.48s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[True-True] | |
| 0.48s call nilearn/maskers/tests/test_nifti_masker.py::test_matrix_orientation | |
| 0.48s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[YProjector] | |
| 0.48s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_carpet] | |
| 0.48s call nilearn/plotting/tests/test_displays.py::test_display_basics[MosaicSlicer-mosaic] | |
| 0.48s call nilearn/image/tests/test_image.py::test_validity_threshold_value_in_threshold_img | |
| 0.47s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[False-False] | |
| 0.47s call nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[False-True] | |
| 0.47s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[LProjector] | |
| 0.46s call nilearn/plotting/tests/test_displays.py::test_slicer_save_to_file[TiledSlicer] | |
| 0.46s call nilearn/plotting/tests/test_displays.py::test_display_basics[ZProjector-lzr] | |
| 0.46s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[XProjector] | |
| 0.46s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color2] | |
| 0.45s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_with_too_high_edge_threshold | |
| 0.45s call nilearn/plotting/tests/test_displays.py::test_demo_mosaic_slicer[cut_coords2] | |
| 0.45s call nilearn/glm/tests/test_first_level.py::test_high_level_glm_different_design_matrices_formulas | |
| 0.45s call nilearn/plotting/tests/test_displays.py::test_add_graph_with_node_color_as_string[node_color1] | |
| 0.44s call nilearn/plotting/tests/test_displays.py::test_slicer_save_to_file[OrthoSlicer] | |
| 0.44s call nilearn/plotting/tests/test_displays.py::test_add_graph_with_node_color_as_string[red] | |
| 0.44s call nilearn/plotting/tests/test_html_surface.py::test_fill_html_template | |
| 0.44s call nilearn/plotting/tests/test_displays.py::test_projectors_basic[RProjector] | |
| 0.44s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[xz] | |
| 0.44s call nilearn/maskers/tests/test_nifti_masker.py::test_auto_mask | |
| 0.44s call nilearn/plotting/tests/test_displays.py::test_display_basics[YProjector-lyr] | |
| 0.43s call nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_img_none_false[cut_coords2] | |
| 0.43s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map[plotly] | |
| 0.42s call nilearn/plotting/tests/test_displays.py::test_demo_mosaic_slicer[cut_coords0] | |
| 0.42s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map_matplotlib_specific | |
| 0.42s call nilearn/decomposition/tests/test_dict_learning.py::test_with_globbing_patterns_with_single_subject | |
| 0.42s call nilearn/image/tests/test_image.py::test_threshold_img_with_cluster_threshold | |
| 0.41s call nilearn/plotting/tests/test_html_connectome.py::test_view_connectome | |
| 0.41s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lyr] | |
| 0.41s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_dtype | |
| 0.41s call nilearn/plotting/tests/test_displays.py::test_display_basics[XProjector-lyrz] | |
| 0.41s call nilearn/plotting/tests/test_displays.py::test_stacked_slicer[YXSlicer] | |
| 0.40s call nilearn/plotting/tests/test_displays.py::test_user_given_cmap_with_colorbar | |
| 0.40s call nilearn/maskers/tests/test_nifti_masker.py::test_standardization | |
| 0.39s call nilearn/decoding/tests/test_space_net.py::test_lasso_vs_graph_net | |
| 0.39s call nilearn/plotting/tests/test_displays.py::test_stacked_slicer[YZSlicer] | |
| 0.39s call nilearn/plotting/tests/test_displays.py::test_display_basics[ZSlicer-z] | |
| 0.39s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize_false | |
| 0.39s call nilearn/regions/tests/test_rena_clustering.py::test_rena_clustering | |
| 0.39s call nilearn/plotting/tests/test_displays.py::test_display_basics[YXSlicer-yx] | |
| 0.38s call nilearn/plotting/tests/test_displays.py::test_display_basics[TiledSlicer-tiled] | |
| 0.38s call nilearn/plotting/tests/test_displays.py::test_stacked_slicer[XZSlicer] | |
| 0.38s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_with_nans_and_infs_in_data | |
| 0.38s call nilearn/plotting/tests/test_displays.py::test_display_basics[OrthoSlicer-ortho] | |
| 0.37s call nilearn/plotting/tests/test_displays.py::test_display_basics[YSlicer-y] | |
| 0.37s call nilearn/plotting/tests/test_displays.py::test_display_basics[XSlicer-x] | |
| 0.37s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_with_nans_and_infs_in_mask | |
| 0.37s call nilearn/tests/test_masking.py::test_unmask_list | |
| 0.37s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_3d_images | |
| 0.37s call nilearn/maskers/tests/test_nifti_masker.py::test_joblib_cache | |
| 0.37s call nilearn/regions/tests/test_region_extractor.py::test_nans_threshold_maps_ratio | |
| 0.37s call nilearn/plotting/tests/test_displays.py::test_display_basics[XZSlicer-xz] | |
| 0.36s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_threshold[-100] | |
| 0.36s call nilearn/plotting/tests/test_displays.py::test_display_basics[YZSlicer-yz] | |
| 0.36s call nilearn/image/tests/test_image.py::test_math_img | |
| 0.35s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-1-ball] | |
| 0.35s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_contours | |
| 0.35s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-1-ball] | |
| 0.35s call nilearn/tests/test_masking.py::test_nifti_masker_empty_mask_warning | |
| 0.35s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold | |
| 0.35s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[gm-template] | |
| 0.34s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_nifti_spheres_masker_inverse_transform | |
| 0.34s call nilearn/regions/tests/test_region_extractor.py::test_error_messages_connected_label_regions | |
| 0.34s call nilearn/maskers/tests/test_base_masker.py::test_cropping_code_paths | |
| 0.34s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_nans_and_infs_in_mask | |
| 0.34s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_anat] | |
| 0.34s call nilearn/decoding/tests/test_space_net.py::test_checking_inputs_length | |
| 0.34s call nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_with_nans_and_infs | |
| 0.34s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_sphere_extraction | |
| 0.34s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_anisotropic_sphere_extraction | |
| 0.34s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_nans_and_infs_in_data | |
| 0.34s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_epi_mask | |
| 0.34s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_is_nifti_spheres_masker_give_nans | |
| 0.34s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-1-line] | |
| 0.33s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_anat] | |
| 0.33s call nilearn/plotting/tests/test_matrix_plotting.py::test_show_design_matrix | |
| 0.33s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_stat_map] | |
| 0.33s call nilearn/glm/tests/test_first_level.py::test_first_level_glm_computation_with_memory_caching | |
| 0.33s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_stat_map] | |
| 0.33s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-spm + derivative] | |
| 0.33s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_standardization | |
| 0.33s call nilearn/image/tests/test_image.py::test_binarize_img | |
| 0.33s call nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_nans_and_infs | |
| 0.32s call nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_properties | |
| 0.32s call nilearn/glm/tests/test_first_level.py::test_first_level_with_scaling | |
| 0.32s call nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-1-line] | |
| 0.31s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-glover] | |
| 0.31s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_providing_node_info_with_kwargs[node_kwargs1] | |
| 0.31s call nilearn/maskers/tests/test_nifti_masker.py::test_with_files | |
| 0.31s call nilearn/plotting/tests/test_displays.py::test_data_complete_mask[OrthoSlicer] | |
| 0.30s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-spm + derivative] | |
| 0.30s call nilearn/image/tests/test_resampling.py::test_resampling_error_checks | |
| 0.30s call nilearn/plotting/tests/test_find_cuts.py::test_find_cuts_empty_mask_no_crash | |
| 0.30s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-<lambda>] | |
| 0.30s call nilearn/plotting/tests/test_find_cuts.py::test_singleton_ax_dim | |
| 0.30s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lzry] | |
| 0.30s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[wm-template] | |
| 0.29s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-glover] | |
| 0.29s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-<lambda>] | |
| 0.29s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-spm] | |
| 0.29s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes_lyrz_display[node_size2] | |
| 0.29s call nilearn/decoding/tests/test_graph_net.py::test_tikhonov_regularization_vs_graph_net | |
| 0.28s call nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-spm] | |
| 0.28s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-node_color1] | |
| 0.28s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[r] | |
| 0.28s call nilearn/glm/tests/test_first_level.py::test_glm_sample_mask | |
| 0.28s call nilearn/plotting/tests/test_html_surface.py::test_full_brain_info | |
| 0.27s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_display_modes_without_img[lzry] | |
| 0.27s call nilearn/maskers/tests/test_nifti_masker.py::test_sessions | |
| 0.27s call nilearn/plotting/tests/test_find_cuts.py::test_find_parcellation_cut_coords | |
| 0.26s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_colorbar[True] | |
| 0.26s call nilearn/tests/test_niimg_conversions.py::test_check_niimg_wildcards | |
| 0.26s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy0-param0] | |
| 0.26s call nilearn/image/image.py::nilearn.image.image.math_img | |
| 0.25s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy3-param3] | |
| 0.25s call nilearn/maskers/tests/test_masker_validation.py::test_check_embedded_nifti_masker | |
| 0.25s call nilearn/glm/tests/test_first_level.py::test_get_voxelwise_attributes_should_return_as_many_as_design_matrices[shapes0] | |
| 0.25s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy7-param7] | |
| 0.25s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy6-param6] | |
| 0.25s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy4-param4] | |
| 0.24s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_and_edge_kwargs | |
| 0.24s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy5-param5] | |
| 0.24s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[whole-brain-template] | |
| 0.24s call nilearn/decoding/tests/test_space_net.py::test_tv_regression_simple | |
| 0.24s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_nan | |
| 0.24s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy1-param1] | |
| 0.24s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy2-param2] | |
| 0.24s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color1] | |
| 0.23s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[ortho] | |
| 0.23s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_img_invalid | |
| 0.23s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color0] | |
| 0.23s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_with_nans | |
| 0.23s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-green] | |
| 0.23s call nilearn/glm/tests/test_first_level.py::test_first_level_glm_computation | |
| 0.22s call nilearn/glm/tests/test_first_level.py::test_first_level_design_creation | |
| 0.21s setup nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiMapsMasker] | |
| 0.21s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lzr] | |
| 0.21s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi_matplotlib_specific | |
| 0.21s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_displayed_maps_errors[foo] | |
| 0.21s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[12] | |
| 0.21s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[9] | |
| 0.21s call nilearn/image/tests/test_image.py::test_high_variance_confounds | |
| 0.20s call nilearn/datasets/tests/test_func.py::test__load_mixed_gambles | |
| 0.20s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_image_in_fit | |
| 0.20s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[all] | |
| 0.20s call nilearn/tests/test_niimg_conversions.py::test_check_niimg_3d | |
| 0.20s call nilearn/surface/tests/test_surface.py::test_depth_ball_sampling | |
| 0.20s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[1] | |
| 0.20s call nilearn/glm/tests/test_second_level.py::test_check_second_level_input | |
| 0.20s call nilearn/decoding/tests/test_decoder.py::test_parallel_fit | |
| 0.20s call nilearn/maskers/tests/test_nifti_masker.py::test_filter_and_mask | |
| 0.20s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_inflate | |
| 0.20s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps1] | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMapsMasker] | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_integer_and_all_displayed_maps[6] | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiMapsMasker] | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_maps_number_errors[displayed_maps0] | |
| 0.19s call nilearn/plotting/tests/test_html_stat_map.py::test_mask_stat_map | |
| 0.19s call nilearn/tests/test_niimg.py::test_copy_img_side_effect | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_displayed_maps_errors[displayed_maps2] | |
| 0.19s call nilearn/plotting/tests/test_html_stat_map.py::test_get_cut_slices | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_list_and_arrays_maps_number[displayed_maps0] | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_maps_number_errors[displayed_maps1] | |
| 0.19s setup nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_displayed_maps_errors[1] | |
| 0.18s call nilearn/image/image.py::nilearn.image.image.binarize_img | |
| 0.18s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_wrong_shapes | |
| 0.18s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[yz] | |
| 0.18s call nilearn/regions/tests/test_region_extractor.py::test_invalid_thresholds_in_threshold_maps_ratio | |
| 0.18s call nilearn/image/tests/test_image.py::test_isnan_threshold_img_data | |
| 0.18s call nilearn/image/tests/test_image.py::test_math_img_exceptions | |
| 0.18s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_anat] | |
| 0.18s call nilearn/regions/tests/test_region_extractor.py::test_invalid_threshold_strategies | |
| 0.18s call nilearn/image/tests/test_image.py::test_threshold_img_copy | |
| 0.18s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_img] | |
| 0.18s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_img] | |
| 0.18s call nilearn/regions/tests/test_region_extractor.py::test_threshold_as_none_and_string_cases | |
| 0.17s call nilearn/maskers/tests/test_nifti_masker.py::test_detrend | |
| 0.17s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_epi] | |
| 0.17s call nilearn/maskers/tests/test_nifti_spheres_masker.py::test_seed_extraction | |
| 0.17s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_roi] | |
| 0.17s call nilearn/maskers/tests/test_nifti_masker.py::test_resample | |
| 0.17s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_epi] | |
| 0.17s call nilearn/regions/tests/test_signal_extraction.py::test_generate_maps | |
| 0.17s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args1-gm-template] | |
| 0.17s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi[plotly] | |
| 0.17s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args1-wm-template] | |
| 0.16s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_stat_map] | |
| 0.16s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_anat] | |
| 0.16s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-gm-template] | |
| 0.16s call nilearn/glm/tests/test_first_level.py::test_first_level_with_no_signal_scaling | |
| 0.16s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_glass_brain] | |
| 0.16s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_stat_map] | |
| 0.16s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_roi] | |
| 0.16s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-wm-template] | |
| 0.16s call nilearn/decoding/tests/test_space_net.py::test_targets_in_y_space_net_regressor | |
| 0.16s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[ ] | |
| 0.15s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf[matplotlib] | |
| 0.15s call nilearn/tests/test_masking.py::test_deprecation_warning_compute_multi_gray_matter_mask | |
| 0.15s call nilearn/image/tests/test_image.py::test_iter_img | |
| 0.15s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_mask_strategy_errors | |
| 0.14s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[yx] | |
| 0.14s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi[matplotlib] | |
| 0.13s call nilearn/plotting/tests/test_matrix_plotting.py::test_show_contrast_matrix | |
| 0.12s call nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage3] | |
| 0.12s call nilearn/datasets/tests/test_struct.py::test_fetch_icbm152_brain_gm_mask | |
| 0.12s call nilearn/decoding/tests/test_graph_net.py::test__squared_loss_gradient_at_simple_points | |
| 0.12s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[z-False] | |
| 0.12s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-z-False] | |
| 0.12s call nilearn/maskers/tests/test_nifti_masker.py::test_mask_strategy_errors | |
| 0.12s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args1-whole-brain-template] | |
| 0.12s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-z-False] | |
| 0.12s call nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-whole-brain-template] | |
| 0.11s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_reorder | |
| 0.11s call nilearn/decoding/tests/test_space_net.py::test_logistic_path_scores | |
| 0.11s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[z] | |
| 0.10s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_saving_to_file | |
| 0.10s call nilearn/plotting/tests/test_html_stat_map.py::test_load_bg_img | |
| 0.10s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_load_non_nifti | |
| 0.10s call nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_ids | |
| 0.10s call nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_display_modes_without_img[lr] | |
| 0.10s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lr] | |
| 0.10s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[gifti] | |
| 0.10s call nilearn/datasets/tests/test_func.py::test_fetch_localizer_contrasts | |
| 0.10s call nilearn/image/tests/test_image.py::test_smooth_img | |
| 0.10s call nilearn/plotting/tests/test_find_cuts.py::test_fast_abs_percentile_no_index_error_find_cuts | |
| 0.09s call nilearn/image/tests/test_image.py::test_mean_img_resample | |
| 0.09s call nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_hierarchical_k_means | |
| 0.09s call nilearn/datasets/tests/test_func.py::test_fetch_spm_auditory | |
| 0.09s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_to_file | |
| 0.09s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[regular] | |
| 0.09s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[y] | |
| 0.09s call nilearn/datasets/tests/test_neurovault.py::test_should_download_original_images_along_resampled_images_if_previously_downloaded | |
| 0.09s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_pauli_2017 | |
| 0.09s call nilearn/maskers/tests/test_nifti_masker.py::test_nan | |
| 0.09s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[cifti] | |
| 0.09s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_invalid_filetype | |
| 0.08s call nilearn/reporting/tests/test_glm_reporter.py::test_plot_contrasts | |
| 0.08s call nilearn/tests/test_testing.py::test_generate_fake_fmri | |
| 0.08s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[ica_aroma] | |
| 0.08s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_cmap[RdBu-0-None] | |
| 0.08s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_cmap[cmap1-None-5] | |
| 0.08s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes[node_size1] | |
| 0.08s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values2] | |
| 0.07s call nilearn/datasets/tests/test_neurovault.py::test_should_download_resampled_images_along_original_images_if_previously_downloaded | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_cmap[cmap2-2-3] | |
| 0.07s call nilearn/decoding/tests/test_space_net.py::test_squared_loss_path_scores | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes[node_size2] | |
| 0.07s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_sample_mask | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes[10] | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values0] | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_kwargs | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values1] | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_threshold[2.5] | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values3] | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values4] | |
| 0.07s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_tuple_node_coords | |
| 0.07s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategy_scrubbing | |
| 0.07s call nilearn/plotting/tests/test_html_surface.py::test_get_vertexcolor | |
| 0.07s call nilearn/tests/test_param_validation.py::test_feature_screening | |
| 0.07s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_avg_method | |
| 0.07s setup nilearn/datasets/tests/test_func.py::test_fetch_localizer_contrasts | |
| 0.07s call nilearn/datasets/tests/test_neurovault.py::test_should_download_resampled_images_only_if_no_previous_download | |
| 0.07s setup nilearn/datasets/tests/test_func.py::test_fetch_localizer_calculation_task | |
| 0.06s setup nilearn/datasets/tests/test_func.py::test_fetch_localizer_button_task | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-ortho-False] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-ortho-False] | |
| 0.06s call nilearn/datasets/tests/test_func.py::test_fetch_adhd | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[ortho-False] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_non_symmetric_adjacency[matrix0] | |
| 0.06s call nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage7] | |
| 0.06s call nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage] | |
| 0.06s call nilearn/datasets/tests/test_func.py::test_miyawaki2008 | |
| 0.06s call nilearn/glm/tests/test_contrasts.py::test_F_contrast_add | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_non_symmetric_adjacency[matrix1] | |
| 0.06s call nilearn/datasets/tests/test_func.py::test_fetch_spm_multimodal | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_tuple_node_coords | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[x] | |
| 0.06s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_ica_aroma | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[l] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_providing_node_info_with_kwargs[node_kwargs0] | |
| 0.06s call nilearn/glm/tests/test_first_level.py::test_glm_AR_estimates | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_wrong_number_node_colors[node_color1] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[10] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_wrong_number_node_colors[node_color2] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[10.2.3%] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_wrong_number_node_colors[node_color0] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[0.1] | |
| 0.06s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_bound_error[5-None] | |
| 0.05s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_threshold_errors | |
| 0.05s call nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[asdf%] | |
| 0.05s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_difumo | |
| 0.05s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_bound_error[None-0] | |
| 0.05s call nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[False] | |
| 0.05s call nilearn/datasets/tests/test_func.py::test_fetch_haxby | |
| 0.05s call nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault | |
| 0.05s call nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values_errors | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[diag] | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[lower] | |
| 0.05s teardown nilearn/tests/test_version.py::test_compare_version_error | |
| 0.05s call nilearn/datasets/tests/test_func.py::test_fetch_language_localizer_demo_dataset | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[full] | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_with_labels_and_different_tri[diag] | |
| 0.05s call nilearn/plotting/tests/test_displays.py::test_glass_brain_axes | |
| 0.05s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_contours_error | |
| 0.05s call nilearn/decoding/tests/test_graph_net.py::test_logistic_gradient_at_simple_points | |
| 0.05s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_not_found_exception | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[foo bar] | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[foo] | |
| 0.05s call nilearn/glm/tests/test_first_level.py::test_run_glm | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_labels[lab1] | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_with_labels_and_different_tri[full] | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_with_labels_and_different_tri[lower] | |
| 0.05s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[None] | |
| 0.05s call nilearn/tests/test_niimg_conversions.py::test_concat_niimgs | |
| 0.05s call nilearn/datasets/tests/test_func.py::test_fetch_localizer_calculation_task | |
| 0.05s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[compcor-regular] | |
| 0.04s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_labels[None] | |
| 0.04s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_labels[lab0] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[scrubbing-regular] | |
| 0.04s call nilearn/plotting/tests/test_html_surface.py::test_one_mesh_info | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[simple-regular] | |
| 0.04s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_t_score_with_covars_and_normalized_design_nocovar | |
| 0.04s call nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_mni152template_is_reordered | |
| 0.04s call nilearn/connectome/tests/test_connectivity_matrices.py::test_confounds_connectome_measure | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[ica_aroma-ica_aroma] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[scrubbing-regular] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategy_compcor | |
| 0.04s call nilearn/datasets/tests/test_func.py::test_fetch_development_fmri | |
| 0.04s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_talairach | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_n_compcor[anat_combined-2-a_comp_cor_-2] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[compcor-regular] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_irrelevant_input | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_n_compcor[temporal-all-t_comp_cor_-6] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[simple-regular] | |
| 0.04s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_avg_method_errors | |
| 0.04s call nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[True] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[ica_aroma-ica_aroma] | |
| 0.04s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_n_compcor[anat_combined-all-a_comp_cor_-57] | |
| 0.04s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_error[matplotlib] | |
| 0.04s call nilearn/plotting/tests/test_displays.py::test_add_markers_cut_coords_is_none | |
| 0.04s call nilearn/plotting/tests/test_js_plotting_utils.py::test_add_js_lib | |
| 0.04s call nilearn/decoding/tests/test_fista.py::test_logistic_lipschitz | |
| 0.04s call nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage6] | |
| 0.04s call nilearn/image/tests/test_image.py::test__smooth_array | |
| 0.04s call nilearn/glm/tests/test_dmtx.py::test_oversampling | |
| 0.04s call nilearn/plotting/tests/test_displays.py::test_annotations | |
| 0.04s call nilearn/image/image.py::nilearn.image.image.index_img | |
| 0.04s call nilearn/plotting/tests/test_displays.py::test_position_annotation_with_decimals | |
| 0.04s call nilearn/glm/tests/test_contrasts.py::test_Fcontrast | |
| 0.03s call nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage4] | |
| 0.03s call nilearn/glm/tests/test_contrasts.py::test_contrast_mul | |
| 0.03s call nilearn/surface/tests/test_surface.py::test_load_surf_data_file_nii_gii | |
| 0.03s call nilearn/plotting/tests/test_js_plotting_utils.py::test_mesh_to_plotly[left] | |
| 0.03s call nilearn/maskers/tests/test_multi_nifti_masker.py::test_joblib_cache | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-basic] | |
| 0.03s call nilearn/datasets/tests/test_func.py::test_fetch_localizer_button_task | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-power2] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-full] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-derivatives] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_non_steady_state | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-derivatives] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-basic] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_confounds2df | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-full] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-full] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-power2] | |
| 0.03s call nilearn/datasets/tests/test_func.py::test_fetch_surf_nki_enhanced | |
| 0.03s call nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-full] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-full] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-power2] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-basic] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-basic] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-full] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-basic] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-power2] | |
| 0.03s call nilearn/plotting/tests/test_js_plotting_utils.py::test_mesh_to_plotly[right] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-basic] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-derivatives] | |
| 0.03s call nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-power2] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-derivatives] | |
| 0.03s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map_error | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-derivatives] | |
| 0.03s call nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_errors | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-derivatives] | |
| 0.03s call nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-power2] | |
| 0.02s call nilearn/decoding/tests/test_space_net.py::test_early_stopping_callback_object | |
| 0.02s call nilearn/image/tests/test_resampling.py::test_resampling_with_affine | |
| 0.02s call nilearn/tests/test_signal.py::test_high_variance_confounds | |
| 0.02s call nilearn/decoding/tests/test_operators.py::test_prox_tvl1_approximates_prox_l1_for_lasso | |
| 0.02s call nilearn/tests/test_signal.py::test_clean_confounds | |
| 0.02s call nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage5] | |
| 0.02s call nilearn/datasets/tests/test_testing.py::test_dict_to_archive | |
| 0.02s call nilearn/maskers/tests/test_nifti_masker.py::test_mask_3d | |
| 0.02s call nilearn/tests/test_niimg_conversions.py::test_iterator_generator | |
| 0.02s call nilearn/image/tests/test_resampling.py::test_resampling_continuous_with_affine | |
| 0.02s call nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| 0.02s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_nocovar_multivariate | |
| 0.02s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[True] | |
| 0.02s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_noncurrent_axes | |
| 0.02s setup nilearn/regions/tests/test_rena_clustering.py::test_rena_clustering | |
| 0.02s call nilearn/datasets/tests/test_testing.py::test_loading_from_archive_contents | |
| 0.02s setup nilearn/datasets/tests/test_func.py::test_fetch_ds000030_urls | |
| 0.02s call nilearn/glm/tests/test_dmtx.py::test_design_matrix6 | |
| 0.02s call nilearn/image/tests/test_resampling.py::test_reorder_img | |
| 0.02s call nilearn/decomposition/tests/test_base.py::test_fast_svd | |
| 0.02s call nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_functional | |
| 0.02s call nilearn/glm/tests/test_contrasts.py::test_Tcontrast | |
| 0.02s call nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_extract_outlier_regressors | |
| 0.02s call nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii | |
| 0.02s call nilearn/surface/tests/test_surface.py::test_load_surf_data_gii_gz | |
| 0.02s call nilearn/glm/tests/test_dmtx.py::test_design_matrix4 | |
| 0.02s setup nilearn/tests/test_niimg_conversions.py::test_repr_niimgs | |
| 0.02s call nilearn/glm/tests/test_dmtx.py::test_design_matrix1 | |
| 0.02s call nilearn/decoding/tests/test_graph_net.py::test__squared_loss_derivative_lipschitz_constant | |
| 0.02s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_anat] | |
| 0.02s call nilearn/glm/tests/test_dmtx.py::test_csv_io | |
| 0.02s call nilearn/image/tests/test_resampling.py::test_identity_resample | |
| 0.02s setup nilearn/regions/tests/test_region_extractor.py::test_error_messages_connected_label_regions | |
| 0.02s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_carpet] | |
| 0.02s call nilearn/decoding/tests/test_graph_net.py::test_logistic_derivative_lipschitz_constant | |
| 0.02s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_4d_default_params[plot_prob_atlas] | |
| 0.02s call nilearn/glm/tests/test_dmtx.py::test_design_matrix10 | |
| 0.02s setup nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs | |
| 0.02s call nilearn/glm/tests/test_dmtx.py::test_design_matrix5 | |
| 0.02s setup nilearn/reporting/tests/test_reporting.py::test_get_clusters_table | |
| 0.01s call nilearn/datasets/tests/test_func.py::test_fetch_mixed_gambles | |
| 0.01s call nilearn/glm/tests/test_paradigm.py::test_check_events | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiLabelsMasker] | |
| 0.01s call nilearn/image/tests/test_resampling.py::test_resampling_fill_value | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix12 | |
| 0.01s call nilearn/datasets/tests/test_neurovault.py::test_get_batch | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_anat] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_basc_multiscale_2015 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-node_color2] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-rena] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_output_file | |
| 0.01s call nilearn/tests/test_signal.py::test_detrend | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix11 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_roi] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[None-1] | |
| 0.01s setup nilearn/tests/test_numpy_conversions.py::test_csv_to_array | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_concat_niimg_dtype | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_save_plot_stat_map[params1] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_roi] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[None-7] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_data_file_glob | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_save_plot_stat_map[params0] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_freesurfer | |
| 0.01s call nilearn/decoding/tests/test_fista.py::test_squared_loss_lipschitz | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_stat_map] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth2-8] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth3] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[False] | |
| 0.01s setup nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_hierarchical_k_means_clustering | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_bad_input | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_check_niimg_wildcards | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_coords_seitzman_2018 | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_glob | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_error | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_file_output | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_data_file_freesurfer | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_check_niimg | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix3 | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_data_file_error | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[z-False] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-rena] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-ortho-anat_img1] | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_status | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_to_file | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix17 | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[kmeans] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_data_file_nii_gii | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_3d_img | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_epi] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix20 | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations | |
| 0.01s setup nilearn/tests/test_ndimage.py::test_largest_cc | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth1] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix16 | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_error_parcellation_method_none | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi[plotly] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_with_completely_masked_img[lzry] | |
| 0.01s call nilearn/image/tests/test_image.py::test_index_img | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_epi] | |
| 0.01s call nilearn/glm/tests/test_hemodynamic_models.py::test_hkernel | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth1] | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_withcovar_multivariate | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet_with_atlas | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_roi] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiLabelsMasker] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix21 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_demo_plot_roi_output_file | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix2 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%i-plot_img] | |
| 0.01s setup nilearn/tests/test_ndimage.py::test_constant_image_in_peak_local_max | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-hierarchical_kmeans] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth0] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix18 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-ortho-False] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_img] | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_select_from_index | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_glass_brain] | |
| 0.01s setup nilearn/tests/test_segmentation.py::test_isolated_pixel | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_epi] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix15 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_cbar_tick_format[%f-plot_anat] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_tuple_node_coords | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[False] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_saving_to_file | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_roi] | |
| 0.01s call nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[fig1-None-True] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params4] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix13 | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth3] | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_signals_extraction_with_labels | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_3d_default_params[plot_img] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix9 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-z-False] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix19 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_carpet.py::test_plot_carpet | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_downloader | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-green] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-node_color1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_anat] | |
| 0.01s setup nilearn/tests/test_ndimage.py::test_trivial_cases_in_peak_local_max | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[lzry-node_color0] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiLabelsMasker] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[LYRProjector] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-z-anat_img1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-node_color2] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_colorbar | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[linear-True-line] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-z-anat_img1] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[LYRZProjector] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_invalid_threshold_strategies | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-ortho-False] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[YXProjector] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%i-z-False] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[ortho-False] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_spm_2 | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[avg] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_colorbar[%.2g-ortho-anat_img1] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_nifti_labels_masker_report | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[z-anat_img1] | |
| 0.01s call nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| 0.01s call nilearn/image/tests/test_resampling.py::test_downsample | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_spm_1 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_colors[ortho-green] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix14 | |
| 0.01s setup nilearn/tests/test_segmentation.py::test_isolated_seed | |
| 0.01s call nilearn/tests/test_signal.py::test_clean_runs | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf[plotly] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiLabelsMasker] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_anat_MNI[ortho-anat_img1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_glass_brain] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiLabelsMasker] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[l] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[kmens] | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_sided_test2 | |
| 0.01s setup nilearn/tests/test_testing.py::test_generate_fake_fmri | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiMasker] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_fetch_file_overwrite[True] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_fir_block | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_warnings | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-complete] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-True-continuous] | |
| 0.01s setup nilearn/tests/test_ndimage.py::test_relative_and_absolute_thresholds_in_peak_local_max | |
| 0.01s setup nilearn/tests/test_signal.py::test_butterworth | |
| 0.01s call nilearn/plotting/tests/test_cm.py::test_cm_preload | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values0] | |
| 0.01s setup nilearn/reporting/tests/test_reporting.py::test_local_max | |
| 0.01s call nilearn/decoding/tests/test_graph_net.py::test_mfista_solver_graph_net_no_l1_term | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_convolve_regressors | |
| 0.01s setup nilearn/tests/test_niimg.py::test_copy_img | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[linear-True-ball] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-rena] | |
| 0.01s setup nilearn/tests/test_masking.py::test__extrapolate_out_mask | |
| 0.01s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_error[plotly] | |
| 0.01s call nilearn/decoding/tests/test_objective_functions.py::test_grad_div_adjoint_arbitrary_ndim_ | |
| 0.01s setup nilearn/tests/test_segmentation.py::test_bad_inputs | |
| 0.01s setup nilearn/tests/test_masking.py::test_unmask_from_to_3d_array | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-complete] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data_with_mask[NiftiMasker] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf[matplotlib] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_4d_reports | |
| 0.01s call nilearn/image/tests/test_image.py::test_get_data | |
| 0.01s call nilearn/glm/tests/test_paradigm.py::test_read_events | |
| 0.01s setup nilearn/tests/test_segmentation.py::test_reorder_labels | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[gifti] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params2] | |
| 0.01s call nilearn/datasets/tests/test_func.py::test_fetch_openneuro_dataset | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs_memory | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plotting_functions_with_dim_invalid_input | |
| 0.01s call nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[None-None-True] | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float64] | |
| 0.01s setup nilearn/tests/test_segmentation.py::test_trivial_cases | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map[plotly] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_contrast_computation | |
| 0.01s setup nilearn/_utils/docs.py::nilearn._utils.docs._indentcount_lines | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[False] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_mesh_to_plotly[right] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-hierarchical_kmeans] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_projection_matrix | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_reports_after_fit_3d_data[NiftiMasker] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-average] | |
| 0.01s call nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[fig0-None-True] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_warning_in_report_after_empty_fit[NiftiMasker] | |
| 0.01s call nilearn/tests/test_signal.py::test_clean_detrending | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[LZRProjector] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plotly_savefig | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_loading_from_archive_contents | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-average] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-1-line] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-ward] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params4] | |
| 0.01s setup nilearn/tests/test_signal.py::test_detrend | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-rena] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-average] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[LProjector] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-average] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-average] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-complete] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-average] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-hierarchical_kmeans] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-kmeans] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-20-ball] | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_iterator_generator | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[average] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-kmeans] | |
| 0.01s setup nilearn/tests/test_numpy_conversions.py::test_are_array_identical | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params3] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-kmeans] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[x] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-complete] | |
| 0.01s setup nilearn/tests/test_masking.py::test_deprecation_warning_compute_multi_gray_matter_mask | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-kmeans] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[ortho-cut_coords0] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_no_warnings | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-average] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-rena] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth5-8] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-ward] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-rena] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[LRProjector] | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_overlaid_report | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_img] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-hierarchical_kmeans] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_single_nifti_image[5-complete] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_img] | |
| 0.01s setup nilearn/tests/test_signal.py::test_mean_of_squares | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_stacked_slicer[YXSlicer] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-rena] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-ward] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling_between_surfaces[linear] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-hierarchical_kmeans] | |
| 0.01s setup nilearn/tests/test_ndimage.py::test_flat_peak_local_max | |
| 0.01s setup nilearn/tests/test_version.py::test_compare_version[0.1.0->-0.0.1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params3] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_roi] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_multi_nifti_images[5-complete] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth3-8] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[rena] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_errors_raised_in_check_parameters_fit[complte] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_data_array | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-average] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_connected_regions | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[OrthoProjector] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[LZRYProjector] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-kmeans] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_resampling[True] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_check_parameters_transform | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[yx-None] | |
| 0.01s setup nilearn/tests/test_masking.py::test_apply_mask | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[False] | |
| 0.01s setup nilearn/tests/test_masking.py::test_compute_brain_mask | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-kmeans] | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_frequencies_using_power_spectrum_density | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-rena] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params0] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_inverse_transform_single_nifti_image[5-ward] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-ward] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_stacked_slicer[XSlicer] | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_check_niimg_4d | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-kmeans] | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_check_niimg_3d | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float32] | |
| 0.01s setup nilearn/tests/test_ndimage.py::test_empty_peak_local_max | |
| 0.01s setup nilearn/tests/test_signal.py::test_standardize | |
| 0.01s setup nilearn/tests/test_masking.py::test_intersect_masks | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_non_symmetric | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-hierarchical_kmeans] | |
| 0.01s call nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_errors[matrix1-None-True] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_flm_reporting[True] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values1-7-None-None] | |
| 0.01s call nilearn/plotting/tests/test_html_connectome.py::test_get_connectome | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_with_axes_or_figure | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-auto] | |
| 0.01s setup nilearn/tests/test_masking.py::test_compute_background_mask | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_import_html_document_from_js_plotting | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[linear-True-auto] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_make_headings_with_contrasts_title_none | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-ward] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth4-8] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[XZProjector] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_epi] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[linear-False-auto] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-hierarchical_kmeans] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-line] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_choose_kind | |
| 0.01s setup nilearn/tests/test_masking.py::test_confounds_standardization | |
| 0.01s call nilearn/image/tests/test_resampling.py::test_resampling_nan | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_with_masked_image | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_frequencies | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-hierarchical_kmeans] | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_psc | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_fit_transform[5-ward] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[ZProjector] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lzr] | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_confounds | |
| 0.01s setup nilearn/tests/test_signal.py::test_sample_mask | |
| 0.01s setup nilearn/reporting/tests/test_html_report.py::test_report_empty_fit[NiftiMasker] | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_sided_test | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_img] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_stat_map] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling_affine | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[YZProjector] | |
| 0.01s setup nilearn/tests/test_masking.py::test_unmask | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_cut_coords_and_display_mode[y-2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params5] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-line] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-ball] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_display_methods | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[int] | |
| 0.01s setup nilearn/tests/test_niimg.py::test_img_data_dtype | |
| 0.01s setup nilearn/tests/test_segmentation.py::test_modes_in_random_walker | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_auto_cut_coords[y] | |
| 0.01s setup nilearn/tests/test_version.py::test_compare_version[1.0-!=-0.1.0] | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_detrending | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_finite_no_inplace_mod | |
| 0.01s setup nilearn/tests/test_package_installation.py::test_required_package_installation | |
| 0.01s setup nilearn/tests/test_niimg.py::test_copy_img_side_effect | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[ward] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[XProjector] | |
| 0.01s setup nilearn/tests/test_extmath.py::test_is_spd_with_symmetrical_matrix | |
| 0.01s setup nilearn/tests/test_signal.py::test_row_sum_of_squares | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_stat_map] | |
| 0.01s setup nilearn/tests/test_masking.py::test_compute_multi_epi_mask | |
| 0.01s setup nilearn/tests/test_niimg.py::test_get_target_dtype | |
| 0.01s setup nilearn/tests/test_masking.py::test_high_variance_confounds | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[complete] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[5-complete] | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_check_same_fov | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_auto_cut_coords[z] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[10-complete] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_check_report_dims | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-1-ball] | |
| 0.01s setup nilearn/tests/test_masking.py::test_compute_multi_brain_mask | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_t_r | |
| 0.01s setup nilearn/tests/test_param_validation.py::test_check_threshold | |
| 0.01s setup nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| 0.01s setup nilearn/tests/test_masking.py::test_error_shape | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values0-None-None-None] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_colorbar_variations[params1] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_projection_matrix | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_threshold_maps_ratio | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_stat_map] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_plot_contrasts | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-20-ball] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_anat] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_img] | |
| 0.01s setup nilearn/tests/test_signal.py::test_cosine_filter | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_single_nifti_image[15-ward] | |
| 0.01s setup nilearn/tests/test_niimg_conversions.py::test_concat_niimgs | |
| 0.01s setup nilearn/tests/test_version.py::test_compare_version[0.1-==-0.1.0] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling_between_surfaces[nearest] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_invalid_thresholds_in_threshold_maps_ratio | |
| 0.01s setup nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_hierarchical_k_means | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_fit_on_multi_nifti_images[hierarchical_kmeans] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_parcellations_transform_with_multi_confounds_multi_images[5-kmeans] | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test_check_memory | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_slm_reporting[True] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_fetch_file_overwrite[False] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-1-ball] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-False-contours] | |
| 0.01s setup nilearn/tests/test_masking.py::test_unmask_list | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_stat_map] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-auto] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_slicer_save_to_file[OrthoSlicer] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_anat] | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_zscore | |
| 0.01s setup nilearn/tests/test_masking.py::test_compute_epi_mask | |
| 0.01s setup nilearn/tests/test_version.py::test_compare_version[0.0.0-<-0.1.0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_img] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_uniform_ball_cloud | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_stacked_slicer[ZSlicer] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[linear-False-line] | |
| 0.01s setup nilearn/tests/test_version.py::test_compare_version_error | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_img] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[linear-False-ball] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_slicer_save_to_file[MosaicSlicer] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_img_with_auto_cut_coords[x] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[RProjector] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[False-20-line] | |
| 0.01s setup nilearn/tests/test_testing.py::test_memory_usage | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_plot_empty_slice | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-ball] | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[uint64] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_masked_indices | |
| 0.01s setup nilearn/tests/test_version.py::test_compare_version[0.1.0->=-0.0.1] | |
| 0.01s setup nilearn/reporting/tests/test_reporting.py::test_get_clusters_table_not_modifying_stat_image | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_threshold_as_none_and_string_cases | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-False-continuous] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_anat] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_nans_threshold_maps_ratio | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_generate_regions_ts | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-True-continuous] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_region_extractor_fit_and_transform | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_glass_brain] | |
| 0.01s setup nilearn/tests/test_masking.py::test_intersect_masks_filename | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img.py::test_display_methods_with_display_mode_tiled | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_make_headings_with_contrasts_title_custom | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values8-7-None-None] | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test__trim_maps | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii_gz | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_projectors_basic[YProjector] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_stacked_slicer[XZSlicer] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-False-contours] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-False-continuous] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[compcor-regular] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_glass_brain] | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_signal_extraction_with_maps_and_labels | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_masking_first_level_model | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_epi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_threshold_for_uint8[plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_stat_map] | |
| 0.01s setup nilearn/regions/tests/test_parcellations.py::test_transform_3d_input_images | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[mosaic-cut_coords3-plot_roi] | |
| 0.01s setup nilearn/tests/test_signal.py::test_clean_runs | |
| 0.01s setup nilearn/tests/test_extmath.py::test_fast_abs_percentile_no_index_error | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_stacked_slicer[YSlicer] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_slice_z | |
| 0.01s setup nilearn/tests/test_masking.py::test_nifti_masker_empty_mask_warning | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_slicer_save_to_file[TiledSlicer] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[simple-regular] | |
| 0.01s setup nilearn/tests/test_logger.py::test_log | |
| 0.01s setup nilearn/tests/test_class_inspect.py::test_enclosing_scope_name | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_flat_mesh[xy2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_display_modes_without_img[lr] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_stat_map] | |
| 0.01s setup nilearn/tests/test_signal.py::test_high_variance_confounds | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_flat_mesh[xy0] | |
| 0.01s setup nilearn/tests/test_param_validation.py::test_get_mask_volume | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_depth_ball_sampling | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_epi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params2] | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_generate_maps | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params0] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_check_mesh | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_anat] | |
| 0.01s setup nilearn/tests/test_helpers.py::test_rename_parameters | |
| 0.01s setup nilearn/tests/test_class_inspect.py::test_get_params | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_msdl | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_colorbar_having_nans | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_flat_mesh[xy1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_anat] | |
| 0.01s call nilearn/decoding/tests/test_same_api.py::test_lipschitz_constant_loss_logreg | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-True-contours] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surface | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test_cache_mixin_wrong_dirs | |
| 0.01s setup nilearn/plotting/tests/test_html_document.py::test_open_view_warning | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-True-continuous] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_kwargs | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_glass_z | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_img] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_make_headings_with_contrasts_none_title_custom | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape2-z] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi_error[plotly] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-False-continuous] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_glass_brain] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-1-line] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_epi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_epi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lyr] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_check_mesh_and_data | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_anat] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_remove_small_regions | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vertex_outer_normals | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_invalids_extract_types_in_connected_regions | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_epi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_nans_in_bg_img[plot_stat_map] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_vol_to_surf[True-20-line] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_invalid_plot_type | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[ortho] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_threshold[-100] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_outlier_cut_coords | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_roi] | |
| 0.01s setup nilearn/mass_univariate/tests/test__utils.py::test_null_to_p_array | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_anat] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[cut_coords2-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_img_comparisons.py::test_plot_img_comparison | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_cmap[cmap1-None-5] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape0-x] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_mesh_list | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategy_scrubbing | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_gifti_img_to_mesh | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-True-contours] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[ortho-2-plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_stacked_slicer[YZSlicer] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_tuple_node_coords | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_providing_node_info_with_kwargs[node_kwargs0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_prob_atlas.py::test_plot_prob_atlas[params1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_display_mode_tiled[plot_img] | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test_cache_memory_level | |
| 0.01s call nilearn/plotting/tests/test_html_surface.py::test_check_mesh | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-False-psc] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_threshold_for_uint8[plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.2-False-continuous] | |
| 0.01s setup nilearn/tests/test_extmath.py::test_is_spd_with_non_symmetrical_matrix | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[scrubbing-regular] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_img] | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test_cache_mixin_with_expand_user | |
| 0.01s setup nilearn/tests/test_init.py::test_py36_deprecation_warning | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes_lyrz_display[node_size0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-False-contours] | |
| 0.01s setup nilearn/tests/test_helpers.py::test_transfer_deprecated_param_vals | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-cut_coords2-plot_epi] | |
| 0.01s setup nilearn/tests/test_niimg.py::test_new_img_like_side_effect | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values3] | |
| 0.01s setup nilearn/regions/tests/test_region_extractor.py::test_connected_label_regions | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[YXSlicer-yx] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-full] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_display_modes_without_img[lzry] | |
| 0.01s setup nilearn/tests/test_helpers.py::test_future_warn_deprecated_params | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_generate_labeled_regions | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_bound_error[None-0] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[scrubbing-regular] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_wrong_number_node_colors[node_color1] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_load_surf_data_gii_gz | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_contrast_computation | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_invalid_cut_coords_with_display_mode[tiled-2-plot_anat] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[yz] | |
| 0.01s setup nilearn/tests/test_init.py::test_python_deprecation_warnings | |
| 0.01s setup nilearn/tests/test_param_validation.py::test_feature_screening | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[regular] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[5-plot_anat] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_string | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_arrays | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test_cache_mixin_without_expand_user | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[yx] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_type_error | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[simple-regular] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data0] | |
| 0.01s call nilearn/datasets/tests/test_struct.py::test_fetch_icbm152_2009 | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[cifti] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-basic] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-False-contours] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[xz] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[compcor-regular] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_cmap[RdBu-0-None] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.5-True-contours] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_check_surface | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.1-0.5-True-continuous] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_encode[<f4] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_types[0.7-0.2-True-contours] | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_t_score_with_covars_and_normalized_design_withcovar | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values4] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_instantiation_error_plotly_surface_figure[foo] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes[node_size2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-masked-data3] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[None-None-True] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold[data1] | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test__safe_cache_flush | |
| 0.01s setup nilearn/regions/tests/test_signal_extraction.py::test_img_to_signals_labels_non_float_type[float] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_wrong_number_node_colors[node_color2] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_array_of_ints | |
| 0.01s setup nilearn/regions/tests/test_hierarchical_kmeans_clustering.py::test_adjust_small_clusters | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_singleton_ax_dim[shape1-y] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_gii_gz | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_add_markers_using_plot_glass_brain | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_cmap[cmap2-2-3] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values_errors | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_stat_map.py::test_plot_stat_map_threshold_for_affine_with_rotation | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[10] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-derivatives] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_functions_mosaic_mode[None-plot_epi] | |
| 0.01s call nilearn/tests/test_signal.py::test_clean_frequencies_using_power_spectrum_density | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plot_with_nans[plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_to_color_strings[colors5] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_ints | |
| 0.01s setup nilearn/plotting/tests/test_matplotlib_backend.py::test_should_raise_warning_if_backend_changes | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[YZProjector-yz] | |
| 0.01s setup nilearn/surface/tests/test_surface.py::test_check_mesh | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_strings | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes[node_size1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[10.2.3%] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-power2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[asdf%] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_inputs[ica_aroma] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_load_confounds_strategy[ica_aroma-ica_aroma] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes_lyrz_display[node_size2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes_lyrz_display[node_size1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_sizes[10] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_providing_node_info_with_kwargs[node_kwargs1] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_get_bounds[data1-expected1] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy7-param7] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_coords_dosenbach_2010 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_colorbar[False] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lyrz] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_roi] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_colorbar[True] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_with_nans | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_key_order | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-pos_neg-data0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values1] | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test_cache_shelving | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_list_of_lists | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_roi] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-power2] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-full] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategies[ica_aroma-ica_aroma] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set2-plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_glass_brain] | |
| 0.01s setup nilearn/tests/test_extmath.py::test_fast_abs_percentile | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exception_wrong_edge_threshold_format[0.1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_non_symmetric_adjacency[matrix0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_dimension_mismatch[matrix0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lzry] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_irrelevant_input | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_non_symmetric_adjacency[matrix1] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-derivatives] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_sample_mask | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_wrong_shapes | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-masked-data3] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_masked_array_sparse_matrix | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_small_radius | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set3-plot_stat_map] | |
| 0.01s setup nilearn/tests/test_cache_mixin.py::test__safe_cache_dir_creation | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-full] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_n_compcor[anat_combined-2-a_comp_cor_-2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-pos_neg-data0] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi_error[matplotlib] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_ica_aroma | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_nocovar_warning | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-pos-data1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_stat_map] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_n_compcor[temporal-all-t_comp_cor_-6] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-masked-data3] | |
| 0.01s call nilearn/decoding/tests/test_space_net.py::test_univariate_feature_screening | |
| 0.01s setup nilearn/interfaces/tests/test_fsl.py::test_get_design_from_fslmat | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-masked-data3] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[False-True] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_threshold_errors | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy1-param1] | |
| 0.01s setup nilearn/reporting/tests/test_glm_reporter.py::test_coerce_to_dict_with_dict | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_dimension_mismatch[matrix2] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_to_color_strings[colors2] | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_regex | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[viridis-plot_roi] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy0-param0] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-pos-data1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Set1-plot_stat_map] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi_matplotlib_specific | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_exceptions_wrong_number_node_colors[node_color0] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-True-zscore] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-power2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[y] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-pos_neg-data0] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-basic] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[7.25] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_load_non_nifti | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-power2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_glass_brain] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-False-masked-data3] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-derivatives] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_node_values[node_values2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_plotting_functions_with_cmaps[Paired-plot_stat_map] | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_dict_learning | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_invalid_filetype | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-full] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-pos-data1] | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_view_img_on_surf | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_n_compcor[anat_combined-all-a_comp_cor_-57] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-basic] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_node_and_edge_kwargs | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-pos-data1] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-auto-neg-data2] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_strategy.py::test_strategy_compcor | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_fetch_files_overwrite[False] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-neg-data2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[z] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[lateral-right] | |
| 0.01s setup nilearn/mass_univariate/tests/test__utils.py::test_null_to_p_float | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values2-7--5-None] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_glass_brain.py::test_plot_glass_brain_with_completely_masked_img[lr] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[lr] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy4-param4] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_smith_2009 | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix8 | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_with_too_high_edge_threshold | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_threshold[2.5] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_error[plotly] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_coords_power_2011 | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-True-psc] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[True-False-zscore] | |
| 0.01s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values0-None-None-None] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[False-True-zscore] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_display_mode[r] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map[matplotlib] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_y-power2] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_sampling_between_surfaces[linear] | |
| 0.01s call nilearn/_utils/docs.py::nilearn._utils.docs._indentcount_lines | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-False-neg-data2] | |
| 0.01s setup nilearn/mass_univariate/permuted_least_squares.py::nilearn.mass_univariate.permuted_least_squares._orthonormalize_matrix | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-True-neg-data2] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-auto-neg-data2] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_error[matplotlib] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_get_file_name[False-_desc-confounds_timeseries] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_to_color_strings[colors3] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_with_figure_kwarg | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[2-True-pos_neg-data0] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_encode[<i4] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_y-basic] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_bound_error[5-None] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[full] | |
| 0.01s setup nilearn/plotting/tests/test_matplotlib_backend.py::test_should_switch_to_agg_backend_if_current_backend_fails | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges_with_vmin | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[0%] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_reorder | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-True-masked-data3] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize[False-True-psc] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[False] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_z-full] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_get_file_name[True-_desc-confounds_regressors] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_predictions_r_square | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[anterior-left] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy6-param6] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_anat.py::test_plot_img_invalid | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_with_labels_and_different_tri[lower] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-derivatives] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy3-param3] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy5-param5] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values3-7-None-None] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_with_invalid_orientation | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_x-full] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-derivatives] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_non_steady_state | |
| 0.01s call nilearn/datasets/tests/test_testing.py::test_sender_key_order | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_to_color_strings[colors1] | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_find_cut_slices | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_mesh_to_plotly[left] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[rot_z-basic] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_hemispheres_and_orientations | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[anterior-right] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_plot_markers.py::test_plot_markers_dimension_mismatch[matrix1] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_not_found_exception | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_with_invalid_hemisphere | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[0.5] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-True-pos_neg-data0] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[7-cold_hot] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-True-pos-data1] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[lateral-left] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_title | |
| 0.01s setup nilearn/image/tests/test_image.py::test_math_img_exceptions | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_avg_method_errors | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_surf_mesh | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-derivatives] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[None] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_symmetric_cmap[None-7] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[99%] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_tuple_cut_coords[cut_coords1] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[50%] | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage6] | |
| 0.01s setup nilearn/plotting/tests/test_matplotlib_backend.py::test_should_not_raise_warning_if_backend_is_not_changed | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_roi[matplotlib] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[diag] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[None-axes3-False] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[lateral-left] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_errors[matrix2-lab2- ] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_symmetric_cmap[-5-7] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[True] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[medial-left] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_labels[lab0] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-basic] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[20-cold_hot] | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage7] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_img_plotting.py::test_mni152template_is_reordered | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_regress[test_strategy2-param2] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_motion[trans_x-power2] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_resampling | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-False-pos_neg-data0] | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[mask-_gm] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_confounds2df | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_configure_title_plotly | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_get_vertexcolor | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_fill_value | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map_error | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-False-neg-data2] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_with_axes_kwarg | |
| 0.01s setup nilearn/mass_univariate/permuted_least_squares.py::nilearn.mass_univariate.permuted_least_squares._normalize_matrix_on_axis | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_demo_mosaic_slicer[5] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[True-False] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes_error[fig2-axes2] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[ ] | |
| 0.01s call nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_invalid_separator | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_avg_method | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_user_given_cmap_with_colorbar | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_fast_abs_percentile_no_index_error_find_cuts | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_resample_stat_map | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_tranform_cut_coords | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[posterior-right] | |
| 0.01s setup nilearn/plotting/tests/test_img_plotting/test_get_colorbar_and_data_ranges.py::test_get_colorbar_and_data_ranges[None-False-pos-data1] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_show_design_matrix | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_to_color_strings[colors0] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[20-tab10] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[OrthoProjector-ortho] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[False-False] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_to_color_strings[colors4] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_glm_AR_estimates | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[foo bar] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_freesurfer | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_show_event_plot | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_add_js_lib | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[LYRZProjector-l] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[fig0-None-True] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[posterior-left] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_img_none_false[None] | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_singleton_ax_dim | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_no_threshold | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_contours | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_scaling | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values4-None-None-None] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_params | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values6-10-6-5] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_labels[None] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map_matplotlib_specific | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_set_title[foo] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[YXProjector-yx] | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_full_brain_info | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_with_labels_and_different_tri[full] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_encode[>i4] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_mask_stat_map | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[ventral-right] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values5-7-1-None] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_size | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[lower] | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values7-10-None-5] | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_find_probabilistic_atlas_cut_coords | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_withcovar_multivariate | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_nilearn_standardize_false | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[YSlicer-y] | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_dict_to_archive | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes_error[1-2] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes[fig1-None-True] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[posterior-right] | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_view_connectome | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_4d_single_scan | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_prepare_line | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_add_graph_with_node_color_as_string[node_color1] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_inflate | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[False-False] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_engine_error | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_response | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[XZProjector-xz] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[MosaicSlicer-mosaic] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[posterior-left] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[7-tab10] | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_check_mesh | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_instantiation_error_plotly_surface_figure[input_obj2] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_annotations | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_contours_error | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_view_img | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_load_surf_data_file_freesurfer | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_threshold_data | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_figure_and_axes_error[foo-bar] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_show_contrast_matrix | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_tuple_cut_coords[cut_coords0] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[ventral-left] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_labels[lab1] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_overlap | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_validity_of_ncuts_error_in_find_cut_slices | |
| 0.01s setup nilearn/plotting/tests/test_js_plotting_utils.py::test_encode[>f4] | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_regression | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder_error[foo] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[True-True] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[medial-right] | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_find_cuts_empty_mask_no_crash | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_get_bounds[data0-expected0] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_instantiation_error_plotly_surface_figure[input_obj1] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[XProjector-lyrz] | |
| 0.01s setup nilearn/decoding/tests/test_same_api.py::test_same_energy_calculus_pure_lasso | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_add_markers_cut_coords_is_none | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_sphere_extraction | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_find_cut_coords | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[medial-right] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[False-True] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder[average] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_demo_mosaic_slicer[cut_coords2] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args1-wm-template] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[lateral-right] | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_design_matrix7 | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_view_markers | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_find_parcellation_cut_coords | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_shelving | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[YZSlicer-yz] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[ventral-right] | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_fill_html_template | |
| 0.01s setup nilearn/plotting/tests/test_edge_detect.py::test_edge_nan | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[dorsal-left] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[XZSlicer-xz] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[dorsal-left] | |
| 0.01s call nilearn/tests/test_logger.py::test_log | |
| 0.01s call nilearn/datasets/tests/test_mocking_autoused.py::nilearn.datasets.tests.test_mocking_autoused.check_doctest_fixture | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_cluster_level_parameters_smoke | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[medial-left] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[LZRYProjector-lr] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[ventral-left] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[XSlicer-x] | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_one_mesh_info | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[dorsal-right] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker | |
| 0.01s setup nilearn/plotting/tests/test_cm.py::test_dim_cmap | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_data_complete_mask[LYRZProjector] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[LYRProjector-r] | |
| 0.01s setup nilearn/plotting/tests/test_html_surface.py::test_view_surf | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_nifti_spheres_masker_inverse_overlap | |
| 0.01s setup nilearn/plotting/tests/test_find_cuts.py::test_passing_of_ncuts_in_find_cut_slices | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_small_radius_inverse | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_resample | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_withcovar_multivariate | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[ZProjector-lzr] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_get_cut_slices | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_check_h0_noeffect_labelswap | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_integer_cut_coords[2] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[ZSlicer-z] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_mask_3d | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_tri_error[foo] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_contour_fillings_levels_in_add_contours | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_labels | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[YProjector-lyr] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[anterior-left] | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_data_to_sprite | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_to_html[True-False] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_add_graph_with_node_color_as_string[red] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_standardization | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_statsmodels_withcovar | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_json_view_data[True-True] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[TiledSlicer-tiled] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_plotly[anterior-right] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_nans_and_infs | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_integer_cut_coords[4] | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_matplotlib[dorsal-right] | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_prepare_colors_for_markers[auto-expected_marker_colors1] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_img_none_false[5] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder_error[2] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_tri[full] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_img_none_false[cut_coords2] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_base_axes_exceptions | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_t_score_with_covars_and_normalized_design_nocovar | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder[False] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_filter_and_mask | |
| 0.01s setup nilearn/plotting/tests/test_html_document.py::test_temp_file_removing | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_load_bg_img | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args1-gm-template] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_tri[lower] | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_img | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix2 | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_filter_and_mask_error | |
| 0.01s setup nilearn/image/tests/test_image.py::test_new_img_like_mgh_image | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_set_view_plot_surf_errors | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_surface_figure | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args1-whole-brain-template] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute_errors[r_square] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-whole-brain-template] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_tri[diag] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_detrend | |
| 0.01s call nilearn/plotting/tests/test_html_stat_map.py::test_save_sprite | |
| 0.01s setup nilearn/plotting/tests/test_edge_detect.py::test_edge_detect | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_errors | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_withcovar | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_reduction_strategies | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_mask_4d | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_with_nans_and_infs | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[residuals] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-gm-template] | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_withcovar_multivariate | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_with_labels_and_different_tri[diag] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[cobre] | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_3d_images | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_position_annotation_with_decimals | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_prepare_colors_for_markers[node_color2-expected_marker_colors2] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_5d | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_with_globbing_patterns_with_multi_subjects | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_joblib_cache | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[wm-template] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_data_complete_mask[OrthoSlicer] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_3d_images | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_fmri_inputs | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_auto_mask | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_errors[matrix0-lab0-False] | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_nocovar | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_matrix_orientation | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_is_nifti_spheres_masker_give_nans | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[talairach_atlas] | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_nan | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder[single] | |
| 0.01s setup nilearn/mass_univariate/tests/test__utils.py::test_calculate_cluster_measures | |
| 0.01s setup nilearn/plotting/tests/test_surf_plotting.py::test_plotly_surface_figure | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_tri_error[None] | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_mask_strategy_errors | |
| 0.01s setup nilearn/plotting/tests/test_html_stat_map.py::test_save_sprite | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM12-gztar-AAL_files] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_mask_strategy_errors | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_errors[matrix1-None-True] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_high_level_non_parametric_inference_with_paths | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage3] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_fetch_files_overwrite[True] | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_joblib_cache | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_with_files | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_standardization | |
| 0.01s setup nilearn/image/tests/test_image.py::test_mean_img_resample | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute_errors[residuals] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_nan | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_flat_mesh[xy0] | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder_error[None] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_with_nans_and_infs_in_data | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_nifti_spheres_masker_inverse_transform | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder[True] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_residuals | |
| 0.01s call nilearn/decoding/tests/test_same_api.py::test_lipschitz_constant_loss_mse | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_exception | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_anisotropic_sphere_extraction | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_check_h0_noeffect_signswap | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_different_affines | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_nocovar_multivariate | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_seed_extraction | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_nocovar | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_nocovar_warning | |
| 0.01s call nilearn/datasets/tests/test_testing.py::test_sender_regex | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_wrong_inputs[cut_coords0] | |
| 0.01s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values1-7-None-None] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_yeo_2011 | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_tri_error[2] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_standardization | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_downsample | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_fetch_bids_langloc_dataset | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_nans_and_infs_in_data | |
| 0.01s setup nilearn/plotting/tests/test_matrix_plotting.py::test_sanitize_reorder[complete] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_nans_and_infs_in_mask | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_standardization | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_dtype | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_prepare_colors_for_markers[cyan-expected_marker_colors0] | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_with_int_types_no_crash | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_demo_mosaic_slicer[cut_coords0] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_fmri_inputs | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_icbm152_brain_gm_mask | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-spm + derivative] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_2 | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix6 | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_3d_images | |
| 0.01s setup nilearn/plotting/tests/test_html_connectome.py::test_get_connectome | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_optimize_scrub[original_motion_outliers_index0-expected_optimal0] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[predicted] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_permutation_computation | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_standardization | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_sided_test2 | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_with_affine | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_sessions | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix12 | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resample_img_segmentation_fault | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_auto_mask | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_brain_mask[mask_args0-wm-template] | |
| 0.01s setup nilearn/interfaces/tests/test_bids.py::test_parse_bids_filename | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_dtype | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_dir[True] | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[whole-brain-template] | |
| 0.01s setup nilearn/decoding/tests/test_objective_functions.py::test_grad_div_adjoint_arbitrary_ndim | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_nocovar_multivariate | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_get_index_from_direction_exception | |
| 0.01s setup nilearn/plotting/tests/test_cm.py::test_cm_preload | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_sided_test | |
| 0.01s setup nilearn/image/image.py::nilearn.image.image.math_img | |
| 0.01s setup nilearn/image/image.py::nilearn.image.image.index_img | |
| 0.01s setup nilearn/image/tests/test_image.py::test_isnan_threshold_img_data | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_high_level_glm_with_paths | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_statsmodels_withcovar | |
| 0.01s setup nilearn/maskers/tests/test_nifti_maps_masker.py::test_nifti_maps_masker_with_nans_and_infs_in_mask | |
| 0.01s setup nilearn/maskers/tests/test_input_data.py::test_import_from_input_data_with_warning | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_identity_resample | |
| 0.01s setup nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_nocovar | |
| 0.01s setup nilearn/image/tests/test_image.py::test_swap_img_hemispheres | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_oasis_vbm[False] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_non_parametric_inference_cluster_level | |
| 0.01s setup nilearn/maskers/tests/test_nifti_masker.py::test_compute_epi_mask | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[destrieux_surface] | |
| 0.01s setup nilearn/maskers/tests/test_multi_nifti_masker.py::test_compute_multi_gray_matter_mask[gm-template] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_cut_axes_exception | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_dir[False] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-<lambda>] | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix13 | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage4] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_check_strategy[strategy0-not a supported type of confounds.] | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_full_rank | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_movetree | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_glm_computation | |
| 0.01s setup nilearn/image/tests/test_image.py::test_smooth_img | |
| 0.01s call nilearn/image/tests/test_resampling.py::test_resample_identify_affine_int_translation | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_sampling[linear-True-line] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[adhd] | |
| 0.01s setup nilearn/image/tests/test_image.py::test_largest_cc_img | |
| 0.01s setup nilearn/maskers/tests/test_nifti_labels_masker.py::test_nifti_labels_masker_with_mask | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_4d_affine_bounding_box_error | |
| 0.01s call nilearn/tests/test_numpy_conversions.py::test_as_ndarray | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_sanitize_confounds[inputs2-False] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_high_level_glm_one_session | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_optimize_scrub[original_motion_outliers_index4-expected_optimal4] | |
| 0.01s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_surf_destrieux | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_decoder_dummy_classifier | |
| 0.01s setup nilearn/image/tests/test_image.py::test_threshold_img_copy | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_continuous_with_affine | |
| 0.01s setup nilearn/datasets/tests/test_testing.py::test_sender_path | |
| 0.01s setup nilearn/image/tests/test_image.py::test_new_img_like_non_iterable_header | |
| 0.01s setup nilearn/maskers/tests/test_base_masker.py::test_cropping_code_paths | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_z_score_opposite_contrast | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_raises_upon_3x3_affine_and_no_shape | |
| 0.01s setup nilearn/maskers/tests/test_nifti_spheres_masker.py::test_nifti_spheres_masker_overlap | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute[r_square] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_optimize_scrub[original_motion_outliers_index3-expected_optimal3] | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_canica_square_img | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[2-spm_hrf] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_contrast_computation_with_memory_caching | |
| 0.01s setup nilearn/image/tests/test_image.py::test_threshold_img | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[fsaverage5] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_sanitize_confounds[inputs0-True] | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_glass_brain_axes | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_pos_recipr | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_display_basics[OrthoSlicer-ortho] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_check_second_level_input | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-glover] | |
| 0.01s setup nilearn/glm/model.py::nilearn.glm.model.LikelihoodModelResults.conf_int | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_get_voxelwise_attributes_should_return_as_many_as_design_matrices[shapes1] | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_make_regressor_3 | |
| 0.01s setup nilearn/image/tests/test_image.py::test_crop_threshold_tolerance | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_optimize_scrub[original_motion_outliers_index1-expected_optimal1] | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix1 | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-glover] | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_second_level_voxelwise_attribute_errors[predicted] | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_reorder_img_non_native_endianness | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_spm_2 | |
| 0.01s setup nilearn/plotting/tests/test_displays.py::test_mosaic_slicer_wrong_inputs[cut_coords1] | |
| 0.01s setup nilearn/image/tests/test_image.py::test_threshold_img_with_cluster_threshold | |
| 0.01s setup nilearn/image/tests/test_image.py::test__crop_img_to | |
| 0.01s call nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[False] | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_component_sign | |
| 0.01s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_intercept_nocovar_multivariate | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-spm + derivative] | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_error_checks | |
| 0.01s setup nilearn/image/tests/test_image.py::test_new_img_like_mgz | |
| 0.01s setup nilearn/plotting/tests/test_cm.py::test_replace_inside | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-spm] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_optimize_scrub[original_motion_outliers_index2-expected_optimal2] | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_3x3_affine_bbox | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_coord_transform_trivial | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_sanitize_confounds[inputs4-True] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_sampling[linear-False-line] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_sanitize_confounds[inputs5-False] | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_reorder_img_mirror | |
| 0.01s call nilearn/tests/test_signal.py::test_mean_of_squares | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_result_axis_permutation | |
| 0.01s setup nilearn/image/tests/test_image.py::test_mean_img | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_img_table_checks | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_crop | |
| 0.01s setup nilearn/glm/tests/test_thresholding.py::test_hommel | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_sanitize_confounds[image.nii.gz-True] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[True-spm] | |
| 0.01s setup nilearn/image/tests/test_image.py::test_concat_imgs | |
| 0.01s setup nilearn/maskers/tests/test_masker_validation.py::test_check_embedded_nifti_masker | |
| 0.01s setup nilearn/image/tests/test_image.py::test_high_variance_confounds | |
| 0.01s setup nilearn/glm/tests/test_thresholding.py::test_fdr | |
| 0.01s setup nilearn/image/tests/test_image.py::test_iter_img | |
| 0.01s setup nilearn/glm/tests/test_paradigm.py::test_duplicate_events | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_oasis_vbm[True] | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_utils.py::test_sanitize_confounds[inputs3-True] | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_convolve_regressors | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_glm_computation_with_memory_caching | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_surf_fsaverage[fsaverage5] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_glm_sample_mask | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_raises_bbox_error_if_data_outside_box | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_z_score | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[brainomics_localizer] | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_contrast_values | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_fmri_inputs_for_non_parametric_inference | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_get_outlier_cols | |
| 0.01s setup nilearn/image/tests/test_image.py::test_pd_index_img | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[2-spm_time_derivative] | |
| 0.01s setup nilearn/glm/tests/test_regression.py::test_OLS | |
| 0.01s setup nilearn/glm/tests/test_model.py::test_model | |
| 0.01s setup nilearn/image/tests/test_image.py::test_clean_img | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_check_param_grid | |
| 0.01s setup nilearn/image/image.py::nilearn.image.image.binarize_img | |
| 0.01s setup nilearn/datasets/tests/test_neurovault.py::test_should_download_original_images_along_resampled_images_if_previously_downloaded | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_check_inputs_length | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resample_identify_affine_int_translation | |
| 0.01s setup nilearn/glm/tests/test_thresholding.py::test_threshold_stats_img | |
| 0.01s setup nilearn/datasets/tests/test_neurovault.py::test_should_download_resampled_images_along_original_images_if_previously_downloaded | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_from_bids | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resample_clip | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_paths | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_hrf_model[False-<lambda>] | |
| 0.01s setup nilearn/maskers/tests/test_masker_validation.py::test_check_embedded_nifti_masker_defaults | |
| 0.01s call nilearn/glm/tests/test_utils.py::test_z_score | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_check_estimator | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_get_dataset_dir | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_design_creation | |
| 0.01s call nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[True] | |
| 0.01s setup nilearn/glm/tests/test_regression.py::test_OLS_degenerate | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resample_to_img | |
| 0.01s setup nilearn/image/tests/test_image.py::test__fast_smooth_array | |
| 0.01s setup nilearn/glm/tests/test_thresholding.py::test_all_resolution_inference | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_mahalanobis | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix3 | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_process_second_level_input_as_dataframe | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_design_warnings | |
| 0.01s setup nilearn/image/tests/test_image.py::test_validity_threshold_value_in_threshold_img | |
| 0.01s setup nilearn/image/resampling.py::nilearn.image.resampling.coord_transform | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hkernel | |
| 0.01s setup nilearn/decomposition/tests/test_base.py::test_mask_reducer | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_with_scaling | |
| 0.01s setup nilearn/image/tests/test_image.py::test__smooth_array | |
| 0.01s call nilearn/tests/test_cache_mixin.py::test_cache_memory_level | |
| 0.01s call nilearn/mass_univariate/tests/test__utils.py::test_null_to_p_float | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_F_contrast_add | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_load_mni152_wm_mask | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_contrast_computation | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_with_globbing_patterns_with_single_subject | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix8 | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_sort_input_dataframe | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_check_output_type | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-auto] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_glm_computation | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_component_sign | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_make_regressor_1 | |
| 0.01s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[50%] | |
| 0.01s setup nilearn/image/tests/test_image.py::test_index_img | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_get_voxelwise_attributes_should_return_as_many_as_design_matrices[shapes0] | |
| 0.01s setup nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca_score | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix5 | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_mahalanobis_errors | |
| 0.01s call nilearn/datasets/tests/test_testing.py::test_sender_img | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_reorder_img | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_dictlearning_score | |
| 0.01s setup nilearn/image/tests/test_image.py::test_binarize_img | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds_scrub.py::test_extract_outlier_regressors | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_parallel_fit | |
| 0.01s setup nilearn/glm/tests/test_model.py::test_t_output | |
| 0.01s call nilearn/decoding/tests/test_objective_functions.py::test_grad_div_adjoint_arbitrary_ndim | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[2-glover_dispersion_derivative] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_with_no_signal_scaling | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_t_contrast_add | |
| 0.01s call nilearn/decoding/tests/test_graph_net.py::test_grad_matrix | |
| 0.01s setup nilearn/decoding/tests/test_same_api.py::test_lipschitz_constant_loss_logreg | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_3 | |
| 0.01s call nilearn/tests/test_signal.py::test_sample_mask | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_load_mni152_brain_mask | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_2 | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_explicit_fixed_effects | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[3-spm_hrf] | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_one_minus_pvalue | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix7 | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_high_level_glm_different_design_matrices_formulas | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_run_glm | |
| 0.01s setup nilearn/decomposition/tests/test_multi_pca.py::test_with_globbing_patterns_with_single_image | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_orthogonalize | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_get_contrast | |
| 0.01s setup nilearn/decoding/tests/test_searchlight.py::test_searchlight | |
| 0.01s setup nilearn/image/tests/test_image.py::test_crop_img | |
| 0.01s call nilearn/glm/tests/test_dmtx.py::test_high_pass | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_compute_contrast_num_contrasts | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix14 | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_Fcontrast | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_create_second_level_design | |
| 0.01s setup nilearn/interfaces/tests/test_bids.py::test_get_bids_files | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[dosenbach_2010] | |
| 0.01s setup nilearn/glm/tests/test_model.py::test_conf_int | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_check_strategy[strategy3-high_pass] | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_canica_score | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_with_globbing_patterns_with_multi_subjects | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_check_strategy[strategy2-not a supported type of confounds.] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_md5_sum_file | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_fixed_effect_contrast_nonzero_effect | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_first_level_residuals | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix0 | |
| 0.01s setup nilearn/decomposition/tests/test_multi_pca.py::test_with_globbing_patterns_with_multiple_images | |
| 0.01s setup nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_ids | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_5 | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_fetch_mixed_gambles | |
| 0.01s setup nilearn/decomposition/tests/test_multi_pca.py::test_multi_pca | |
| 0.01s setup nilearn/decoding/tests/test_fista.py::test_logistic_lipschitz | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_multiple_fast_inverse_errors | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_tv_regression_3D_image_doesnt_crash | |
| 0.01s setup nilearn/image/tests/test_resampling.py::test_resampling_nan | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_check_first_level_contrast | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[fsaverage3] | |
| 0.01s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_allen_2011 | |
| 0.01s setup nilearn/image/tests/test_image.py::test_get_data | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_contrast_mul | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_decoder_split_cv | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[3-glover_hrf] | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_threshold_bound | |
| 0.01s setup nilearn/image/tests/test_image.py::test_math_img | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_1 | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[3-spm_time_derivative] | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_resample_regressor_nl | |
| 0.01s setup nilearn/interfaces/fmriprep/tests/test_load_confounds.py::test_check_strategy[error-tuple or list of strings] | |
| 0.01s call nilearn/glm/tests/test_contrasts.py::test_expression_to_contrast_vector | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_csv_io | |
| 0.01s setup nilearn/decoding/tests/test_objective_functions.py::test_3D__gradient_id | |
| 0.01s setup nilearn/decoding/tests/test_graph_net.py::test_tikhonov_regularization_vs_graph_net | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_cosine_drift | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_multiple_fast_inv | |
| 0.01s setup nilearn/decoding/tests/test_same_api.py::test_coef_shape | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_fetch_icbm152_2009 | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_high_level_glm_different_design_matrices | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_Tcontrast | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_log_reg_vs_graph_net_two_classes_iris | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_masker_attributes_with_fit | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[2-glover_time_derivative] | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_masker_attributes_with_fit | |
| 0.01s call nilearn/reporting/tests/test_reporting.py::test_local_max | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_with_globbing_patterns_with_single_subject | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_lasso_vs_graph_net | |
| 0.01s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[0%] | |
| 0.01s setup nilearn/decomposition/tests/test_canica.py::test_components_img | |
| 0.01s setup nilearn/glm/tests/test_contrasts.py::test_fixed_effect_contrast | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_graph_net_classifier_score | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_fetch_spm_multimodal | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_check_design_matrix | |
| 0.01s setup nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tvl1_same_for_pure_l1 | |
| 0.01s setup nilearn/datasets/tests/test_neurovault.py::test_should_download_resampled_images_only_if_no_previous_download | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_decoder_binary_classification | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[3-glover_time_derivative] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[None-7] | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_space_net_classifier_subclass | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_fetch_openneuro_dataset | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix18 | |
| 0.01s setup nilearn/image/tests/test_image.py::test_new_img_like | |
| 0.01s setup nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tvl1_same_for_pure_l1_logistic | |
| 0.01s setup nilearn/glm/tests/test_paradigm.py::test_read_events | |
| 0.01s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal_version_error | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix20 | |
| 0.01s setup nilearn/decoding/tests/test_graph_net.py::test_mfista_solver_graph_net_no_l1_term | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[2-glover_hrf] | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_fetch_spm_auditory | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[basc_multiscale_2015] | |
| 0.01s setup nilearn/decoding/tests/test_objective_functions.py::test_logistic_loss_derivative | |
| 0.01s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--maxprob-thr0-1mm-False-False] | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[smith_2009] | |
| 0.01s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_binary_bytearray_of_ints_data | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_4 | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[fsaverage4] | |
| 0.01s setup nilearn/decoding/tests/test_sklearn_compatibility.py::test_get_params | |
| 0.01s setup nilearn/glm/tests/test_paradigm.py::test_check_events | |
| 0.01s setup nilearn/decoding/tests/test_decoder.py::test_decoder_classification_string_label | |
| 0.01s setup nilearn/decoding/tests/test_operators.py::test_prox_tvl1_approximates_prox_l1_for_lasso | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[template-_brain] | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_6 | |
| 0.01s call nilearn/glm/tests/test_hemodynamic_models.py::test_design_warnings | |
| 0.01s setup nilearn/glm/tests/test_model.py::test_t_contrast | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix0c | |
| 0.01s setup nilearn/decoding/tests/test_objective_functions.py::test_1D__gradient_id | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_sample_condition_7 | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[2-spm_dispersion_derivative] | |
| 0.01s setup nilearn/glm/tests/test_model.py::test_f_output | |
| 0.01s setup nilearn/decoding/tests/test_graph_net.py::test_max_alpha__squared_loss | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_tv_regression_simple | |
| 0.01s setup nilearn/glm/tests/test_model.py::test_f_output_new_api | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[fsaverage] | |
| 0.01s call nilearn/surface/tests/test_surface.py::test_sampling[linear-False-auto] | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_spm_1 | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[3-glover_dispersion_derivative] | |
| 0.01s setup nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[False] | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_high_level_glm_null_contrasts | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_oversampling | |
| 0.01s setup nilearn/decoding/tests/test_objective_functions.py::test_2D__gradient_id | |
| 0.01s setup nilearn/decoding/tests/test_space_net.py::test_params_correctly_propagated_in_constructors | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[development_fmri] | |
| 0.01s setup nilearn/decoding/tests/test_same_api.py::test_graph_net_and_tv_same_for_pure_l1_another_test | |
| 0.01s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[schaefer_2018] | |
| 0.01s setup nilearn/glm/tests/test_hemodynamic_models.py::test_hrf_norm_and_length[3-spm_dispersion_derivative] | |
| 0.01s setup nilearn/decoding/tests/test_graph_net.py::test_adjointness | |
| 0.01s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_invalid_separator | |
| 0.01s setup nilearn/glm/tests/test_second_level.py::test_infer_effect_maps | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix11 | |
| 0.01s setup nilearn/glm/tests/test_regression.py::test_AR | |
| 0.01s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[99%] | |
| 0.01s setup nilearn/glm/tests/test_utils.py::test_mahalanobis2 | |
| 0.01s setup nilearn/glm/tests/test_first_level.py::test_high_level_glm_with_data | |
| 0.01s setup nilearn/decomposition/tests/test_dict_learning.py::test_components_img | |
| 0.01s call nilearn/tests/test_niimg_conversions.py::test_check_niimg_4d | |
| 0.01s setup nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[template-_gm] | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix9 | |
| 0.01s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix4 | |
| 0.00s setup nilearn/glm/tests/test_contrasts.py::test_low_level_fixed_effects | |
| 0.00s setup nilearn/decoding/tests/test_decoder.py::test_decoder_apply_mask | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_haxby | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[mask-_wm] | |
| 0.00s setup nilearn/glm/tests/test_second_level.py::test_check_effect_maps | |
| 0.00s setup nilearn/decoding/tests/test_fista.py::test_squared_loss_lipschitz | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[oasis1] | |
| 0.00s setup nilearn/glm/tests/test_hemodynamic_models.py::test_names | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_checking_inputs_length | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_participants | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[yeo_2011] | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_load_mni152_wm_template | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix10 | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_high_pass | |
| 0.00s setup nilearn/glm/tests/test_second_level.py::test_check_confounds | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fiac | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_pauli_2017 | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_string_params_case | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix19 | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_4d_affine_bounding_box_error | |
| 0.00s setup nilearn/glm/tests/test_hemodynamic_models.py::test_orthogonalize_trivial | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_crop_mask | |
| 0.00s setup nilearn/decomposition/tests/test_multi_pca.py::test_components_img | |
| 0.00s setup nilearn/decoding/tests/test_operators.py::test_prox_l1_nonexpansiveness | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Cortical-Lateralized-cortl-maxprob-thr0-1mm-True-True] | |
| 0.00s setup nilearn/decoding/tests/test_objective_functions.py::test_grad_div_adjoint_arbitrary_ndim_ | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_crop_mask_empty_mask | |
| 0.00s setup nilearn/decoding/tests/test_tv.py::test_tvl1_solver_raises_value_error_if_invalid_loss | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[0.5] | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix15 | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr_warning | |
| 0.00s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_binary_opening_an_image | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_abide_pcp[True] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_read_md5_sum_file | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_yeo_2011 | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix21 | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_fir_block | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[template-_wm] | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_development_fmri | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_msdl | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_load_mni152_gm_mask | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix17 | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[msdl_atlas] | |
| 0.00s setup nilearn/decoding/tests/test_fista.py::test_input_args_and_kwargs | |
| 0.00s setup nilearn/decoding/tests/test_same_api.py::test_lipschitz_constant_loss_mse | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_params_correctly_propagated_in_constructors_biz | |
| 0.00s setup nilearn/glm/tests/test_regression.py::test_AR_degenerate | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_localizer | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_functional | |
| 0.00s setup nilearn/decomposition/tests/test_canica.py::test_canica_single_subject | |
| 0.00s setup nilearn/glm/tests/test_hemodynamic_models.py::test_resample_regressor | |
| 0.00s setup nilearn/decoding/tests/test_decoder.py::test_decoder_multiclass_classification | |
| 0.00s call nilearn/datasets/tests/test_testing.py::test_sender_path | |
| 0.00s setup nilearn/glm/tests/test_hemodynamic_models.py::test_make_regressor_2 | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[True] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM5-zip-uploads] | |
| 0.00s setup nilearn/datasets/tests/test_testing.py::test_sender_bad_input | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_targets_in_y_space_net_regressor | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_source | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_mni152_resolution_warnings[mask-_brain] | |
| 0.00s setup nilearn/decoding/tests/test_decoder.py::test_decoder_regression | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM8-zip-uploads] | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid_same_as_sk | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix0d | |
| 0.00s setup nilearn/glm/tests/test_second_level.py::test_process_second_level_input_as_firstlevelmodels | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_filter_columns | |
| 0.00s setup nilearn/glm/tests/test_dmtx.py::test_design_matrix16 | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_invalid_n_subjects | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Subcortical-sub-maxprob-thr0-1mm-False-True] | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test_identity_adjointness | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_uncompress | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test_grad_matrix | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_load_mni152_gm_template | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--maxprob-thr0-1mm-False-True] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_schaefer_2018 | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_space_net_regressor_subclass | |
| 0.00s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_with_2D_dataframe | |
| 0.00s setup nilearn/glm/tests/test_regression.py::test_residuals | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM12-gztar-AAL_files] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[pauli_2017] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[fsaverage6] | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_space_net_no_crash_not_fitted | |
| 0.00s setup nilearn/glm/tests/test_contrasts.py::test_expression_to_contrast_vector | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--prob-1mm-False-False] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_naive_ftp_adapter | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_threshold[7.25] | |
| 0.00s setup nilearn/decoding/tests/test_tv.py::test_tvl1_from_gradient | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_talairach | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_space_net_one_alpha_no_crash | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[difumo_atlases] | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid_pure_spatial | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_language_localizer_demo_dataset | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_confounds_connectome_measure | |
| 0.00s setup nilearn/decomposition/tests/test_base.py::test_fast_svd | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_screening_space_net | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_squared_loss_path_scores | |
| 0.00s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_invalid_filepath | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[nyu_rest] | |
| 0.00s setup nilearn/glm/tests/test_regression.py::test_predicted_r_square | |
| 0.00s setup nilearn/datasets/tests/test_struct.py::test_load_mni152_template | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_allen_2011 | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[craddock_2012] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[power_2011] | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_surf_nki_enhanced | |
| 0.00s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_for_pandas_dataframe | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_early_stopping_callback_object | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_destrieux_2009[False] | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test_operators_adjointness | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_craddock_2012 | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test__squared_loss_gradient_at_simple_points | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test__squared_loss_derivative_lipschitz_constant | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test_logistic_derivative_lipschitz_constant | |
| 0.00s setup nilearn/decomposition/tests/test_canica.py::test_percentile_range | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[ABIDE_pcp] | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_univariate_feature_screening | |
| 0.00s call nilearn/tests/test_signal.py::test_row_sum_of_squares | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[linear-True-auto] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[haxby2001] | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values2-7--5-None] | |
| 0.00s setup nilearn/glm/tests/test_check_events_file_uses_tab_separators.py::test_with_1D_dataframe | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[nki_enhanced_surface] | |
| 0.00s setup nilearn/decoding/tests/test_objective_functions.py::test_baseestimator_invalid_l1_ratio | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[allen_rsn_2011] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_tree | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Cortical-cort-prob-1mm-False-False] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_result_filter_combinations | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[aal_SPM12] | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_symmetric_cmap[-5-7] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_fetch_neurovault_errors | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_miyawaki2008 | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_result_filter | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values6-10-6-5] | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values8-7-None-None] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[miyawaki2008] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl_errors[HarvardOxford-cortl-prob-1mm] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[linear-True-ball] | |
| 0.00s setup nilearn/decoding/tests/test_graph_net.py::test_logistic_gradient_at_simple_points | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values7-10-None-5] | |
| 0.00s call nilearn/decoding/tests/test_space_net.py::test_space_net_alpha_grid | |
| 0.00s setup nilearn/decoding/tests/test_space_net.py::test_logistic_path_scores | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_order_comp | |
| 0.00s call nilearn/glm/tests/test_dmtx.py::test_create_second_level_design | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_no_threshold | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_symmetric_cmap[None-7] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_remove_none_strings | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[icbm152_2009] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_neurosynth_words_vectorized | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_adhd | |
| 0.00s call nilearn/datasets/tests/test_testing.py::test_sender_response | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_add_absolute_paths | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_check_parameters_megatrawls_datasets | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Cortical-cort-prob-1mm-False-False] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_difumo | |
| 0.00s call nilearn/decoding/tests/test_fista.py::test_input_args_and_kwargs | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[Megatrawls] | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values5-7-1-None] | |
| 0.00s setup nilearn/datasets/tests/test_utils.py::test_get_dataset_descr[neurovault] | |
| 0.00s call nilearn/glm/tests/test_contrasts.py::test_contrast_values | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_megatrawls_netmats | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--prob-1mm-False-False] | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_couple | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_basc_multiscale_2015 | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_write_read_metadata | |
| 0.00s setup nilearn/datasets/tests/test_mocking_autoused.py::nilearn.datasets.tests.test_mocking_autoused.check_doctest_fixture | |
| 0.00s setup nilearn/decoding/tests/test_tv.py::test_tvl1_objective_raises_value_error_if_invalid_loss | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_scroll_server_results | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test__load_mixed_gambles | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_uncompress | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_download_image | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_json_add_collection_dir | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values4-None-None-None] | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_make_spm_auditory_events_file | |
| 0.00s call nilearn/plotting/tests/test_js_plotting_utils.py::test_colorscale_asymmetric_cmap[values3-7-None-None] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_coords_dosenbach_2010 | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM5-zip-uploads] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_json_add_im_files_paths | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.Contains | |
| 0.00s setup nilearn/datasets/tests/test_mocking_autoused.py::test_request_mocking_autoused_urllib | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[None-1] | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_aal[SPM8-zip-uploads] | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_check_square | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_is_null | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_get_batch | |
| 0.00s setup nilearn/datasets/tests/test_mocking_autoused.py::test_request_mocking_autoused_requests | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_split_terms | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_not_equal | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_get_dataset_dir | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--maxprob-thr0-1mm-False-True] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl_errors[Juelich-prob-1mm] | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotIn | |
| 0.00s setup nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_exception | |
| 0.00s call nilearn/connectome/tests/test_connectivity_matrices.py::test_map_eigenvalues | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_surf_destrieux | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_prec_to_partial | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_not_in | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_smith_2009 | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_geodesic | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_contains | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.IsNull | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_vec_to_sym_matrix | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-line] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-line] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[linear-False-ball] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_is_in | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_diagonal | |
| 0.00s call nilearn/datasets/tests/test_neurovault.py::test_simple_download | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_move_unknown_terms_to_local_filter | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_append_filters_to_query | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.GreaterOrEqual | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.IsIn | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.LessThan | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_downloader | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_download_image_terms | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_pattern | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_connectivity_measure_errors | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-ball] | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[Juelich--maxprob-thr0-1mm-False-False] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_not_null | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_map_eigenvalues | |
| 0.00s setup nilearn/connectome/tests/test_group_sparse_cov.py::test_group_sparse_covariance | |
| 0.00s setup nilearn/datasets/tests/test_mocking_autoused.py::test_temp_nilearn_home_autoused | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_connectivity_measure_outputs | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_errors | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_simple_download | |
| 0.00s setup nilearn/_utils/logger.py::nilearn._utils.logger._compose_err_msg | |
| 0.00s call nilearn/image/tests/test_image.py::test_swap_img_hemispheres | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Subcortical-sub-maxprob-thr0-1mm-False-True] | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_not_contains | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.ResultFilter | |
| 0.00s setup nilearn/datasets/tests/test_neurovault.py::test_move_col_id | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotContains | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[nearest-False-ball] | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_craddock_2012 | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_check_spd | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_properties | |
| 0.00s call nilearn/tests/test_signal.py::test_clean_psc | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.GreaterThan | |
| 0.00s call nilearn/glm/tests/test_paradigm.py::test_duplicate_events | |
| 0.00s call nilearn/tests/test_niimg_conversions.py::test_repr_niimgs | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_coords_seitzman_2018 | |
| 0.00s setup nilearn/connectome/tests/test_connectivity_matrices.py::test_sym_matrix_to_vec | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotNull | |
| 0.00s call nilearn/image/tests/test_image.py::test_pd_index_img | |
| 0.00s call nilearn/plotting/tests/test_html_stat_map.py::test_resample_stat_map | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotEqual | |
| 0.00s call nilearn/datasets/tests/test_func.py::test_fetch_localizer | |
| 0.00s call nilearn/tests/test_cache_mixin.py::test_cache_shelving | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling_between_surfaces[nearest] | |
| 0.00s setup nilearn/datasets/tests/test_atlas.py::test_fetch_coords_power_2011 | |
| 0.00s call nilearn/datasets/tests/test_testing.py::test_sender_status | |
| 0.00s call nilearn/datasets/tests/test_mocking_autoused.py::test_request_mocking_autoused_requests | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_reorder_img_non_native_endianness | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.Pattern | |
| 0.00s call nilearn/datasets/tests/test_func.py::test_make_spm_auditory_events_file | |
| 0.00s setup nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.LessOrEqual | |
| 0.00s call nilearn/glm/tests/test_hemodynamic_models.py::test_make_regressor_3 | |
| 0.00s call nilearn/tests/test_signal.py::test_clean_frequencies | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_fetch_file_overwrite[False] | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_fetch_atlas_fsl[HarvardOxford--Cortical-Lateralized-cortl-maxprob-thr0-1mm-True-True] | |
| 0.00s call nilearn/datasets/tests/test_neurovault.py::test_neurosynth_words_vectorized | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_resample_clip | |
| 0.00s call nilearn/mass_univariate/tests/test__utils.py::test_null_to_p_array | |
| 0.00s call nilearn/mass_univariate/permuted_least_squares.py::nilearn.mass_univariate.permuted_least_squares._orthonormalize_matrix | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_naive_ftp_adapter | |
| 0.00s call nilearn/glm/tests/test_contrasts.py::test_fixed_effect_contrast_nonzero_effect | |
| 0.00s call nilearn/glm/model.py::nilearn.glm.model.LikelihoodModelResults.conf_int | |
| 0.00s call nilearn/tests/test_segmentation.py::test_reorder_labels | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_raises_bbox_error_if_data_outside_box | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling_affine | |
| 0.00s call nilearn/datasets/tests/test_func.py::test_fetch_development_fmri_participants | |
| 0.00s call nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_diagonal | |
| 0.00s call nilearn/maskers/tests/test_nifti_masker.py::test_5d | |
| 0.00s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_withcovar | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sampling[nearest-True-auto] | |
| 0.00s call nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_couple | |
| 0.00s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_permuted_ols_nocovar | |
| 0.00s call nilearn/tests/test_niimg_conversions.py::test_check_niimg | |
| 0.00s call nilearn/regions/tests/test_signal_extraction.py::test_generate_regions_ts | |
| 0.00s call nilearn/mass_univariate/permuted_least_squares.py::nilearn.mass_univariate.permuted_least_squares._normalize_matrix_on_axis | |
| 0.00s call nilearn/connectome/tests/test_connectivity_matrices.py::test_geometric_mean_geodesic | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_fetch_files_overwrite[True] | |
| 0.00s call nilearn/plotting/tests/test_cm.py::test_replace_inside | |
| 0.00s call nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[7-tab10] | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_fetch_files_overwrite[False] | |
| 0.00s call nilearn/tests/test_niimg_conversions.py::test_check_same_fov | |
| 0.00s call nilearn/glm/tests/test_contrasts.py::test_t_contrast_add | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_glob | |
| 0.00s call nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[20-tab10] | |
| 0.00s call nilearn/glm/tests/test_dmtx.py::test_design_matrix0c | |
| 0.00s call nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_t_score_with_covars_and_normalized_design_withcovar | |
| 0.00s call nilearn/tests/test_numpy_conversions.py::test_csv_to_array | |
| 0.00s call nilearn/decoding/tests/test_sklearn_compatibility.py::test_get_params | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_load_surf_data_file_error | |
| 0.00s call nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[7-cold_hot] | |
| 0.00s call nilearn/glm/tests/test_thresholding.py::test_fdr | |
| 0.00s call nilearn/tests/test_cache_mixin.py::test__safe_cache_flush | |
| 0.00s call nilearn/tests/test_segmentation.py::test_isolated_seed | |
| 0.00s teardown nilearn/plotting/tests/test_surf_plotting.py::test_plotly_savefig | |
| 0.00s call nilearn/plotting/tests/test_img_plotting/test_plot_roi.py::test_plot_roi_view_type_error | |
| 0.00s call nilearn/glm/tests/test_hemodynamic_models.py::test_make_regressor_2 | |
| 0.00s call nilearn/decoding/tests/test_graph_net.py::test_operators_adjointness | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_resample_to_img | |
| 0.00s call nilearn/glm/tests/test_hemodynamic_models.py::test_make_regressor_1 | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_load_surf_mesh_file_error | |
| 0.00s call nilearn/datasets/tests/test_neurovault.py::test_scroll_server_results | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth2] | |
| 0.00s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_with_invalid_orientation | |
| 0.00s call nilearn/plotting/tests/test_edge_detect.py::test_edge_detect | |
| 0.00s call nilearn/tests/test_signal.py::test_clean_zscore | |
| 0.00s call nilearn/datasets/tests/test_func.py::test_fetch_megatrawls_netmats | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth3] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth0] | |
| 0.00s call nilearn/decoding/tests/test_graph_net.py::test_identity_adjointness | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth1] | |
| 0.00s call nilearn/image/tests/test_image.py::test_new_img_like_mgz | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth0] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth2] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[None-depth3] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_depth[10-depth1] | |
| 0.00s call nilearn/tests/test_masking.py::test_error_shape | |
| 0.00s call nilearn/glm/tests/test_utils.py::test_mahalanobis2 | |
| 0.00s call nilearn/plotting/tests/test_html_stat_map.py::test_save_cmap[20-cold_hot] | |
| 0.00s call nilearn/glm/tests/test_second_level.py::test_check_confounds | |
| 0.00s call nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiMapsMasker] | |
| 0.00s call nilearn/tests/test_ndimage.py::test_largest_cc | |
| 0.00s call nilearn/tests/test_niimg_conversions.py::test_concat_niimg_dtype | |
| 0.00s call nilearn/glm/tests/test_contrasts.py::test_fixed_effect_contrast | |
| 0.00s call nilearn/datasets/tests/test_func.py::test_fetch_ds000030_urls | |
| 0.00s call nilearn/datasets/tests/test_mocking_autoused.py::test_request_mocking_autoused_urllib | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_fetch_file_overwrite[True] | |
| 0.00s call nilearn/decoding/tests/test_objective_functions.py::test_1D__gradient_id | |
| 0.00s call nilearn/datasets/tests/test_testing.py::test_sender_bad_input | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_get_dataset_dir[False] | |
| 0.00s call nilearn/tests/test_niimg.py::test_new_img_like_side_effect | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_3x3_affine_bbox | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.LessThan | |
| 0.00s call nilearn/tests/test_cache_mixin.py::test__safe_cache_dir_creation | |
| 0.00s call nilearn/plotting/tests/test_surf_plotting.py::test_plot_img_on_surf_with_invalid_hemisphere | |
| 0.00s call nilearn/image/tests/test_image.py::test_new_img_like | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_get_dataset_dir[True] | |
| 0.00s call nilearn/image/resampling.py::nilearn.image.resampling.coord_transform | |
| 0.00s call nilearn/mass_univariate/tests/test__utils.py::test_calculate_cluster_measures | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.Contains | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.ResultFilter | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotIn | |
| 0.00s call nilearn/datasets/tests/test_neurovault.py::test_download_image_terms | |
| 0.00s call nilearn/tests/test_signal.py::test_clean_finite_no_inplace_mod | |
| 0.00s call nilearn/tests/test_signal.py::test_cosine_filter | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.IsIn | |
| 0.00s call nilearn/regions/tests/test_signal_extraction.py::test__trim_maps | |
| 0.00s call nilearn/datasets/tests/test_atlas.py::test_get_dataset_dir | |
| 0.00s call nilearn/decoding/tests/test_decoder.py::test_check_param_grid | |
| 0.00s call nilearn/tests/test_cache_mixin.py::test_cache_mixin_with_expand_user | |
| 0.00s call nilearn/datasets/tests/test_struct.py::test_get_dataset_dir | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_tree | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.GreaterOrEqual | |
| 0.00s call nilearn/plotting/tests/test_html_stat_map.py::test_threshold_data | |
| 0.00s teardown nilearn/tests/test_niimg_conversions.py::test_iter_check_niimgs_memory | |
| 0.00s call nilearn/plotting/tests/test_matplotlib_backend.py::test_should_raise_warning_if_backend_changes | |
| 0.00s call nilearn/maskers/tests/test_nifti_masker.py::test_filter_and_mask_error | |
| 0.00s call nilearn/_utils/logger.py::nilearn._utils.logger._compose_err_msg | |
| 0.00s call nilearn/glm/tests/test_dmtx.py::test_design_matrix0 | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotContains | |
| 0.00s call nilearn/datasets/tests/test_utils.py::test_movetree | |
| 0.00s call nilearn/decoding/tests/test_objective_functions.py::test_logistic_loss_derivative | |
| 0.00s call nilearn/decoding/tests/test_tv.py::test_tvl1_from_gradient | |
| 0.00s teardown nilearn/plotting/tests/test_html_document.py::test_temp_file_removing | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.GreaterThan | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotEqual | |
| 0.00s call nilearn/glm/tests/test_thresholding.py::test_hommel | |
| 0.00s teardown nilearn/mass_univariate/tests/test_permuted_least_squares.py::test_t_score_with_covars_and_normalized_design_nocovar | |
| 0.00s call nilearn/connectome/tests/test_connectivity_matrices.py::test_sym_matrix_to_vec | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.IsNull | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth5-8] | |
| 0.00s call nilearn/glm/tests/test_dmtx.py::test_design_matrix0d | |
| 0.00s call nilearn/plotting/tests/test_edge_detect.py::test_edge_nan | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.Pattern | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.LessOrEqual | |
| 0.00s call nilearn/reporting/tests/test_glm_reporter.py::test_stat_map_to_svg_invalid_plot_type | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_load_surface | |
| 0.00s call nilearn/image/tests/test_image.py::test__crop_img_to | |
| 0.00s call nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiMasker] | |
| 0.00s call nilearn/regions/tests/test_signal_extraction.py::test_generate_labeled_regions | |
| 0.00s call nilearn/datasets/neurovault.py::nilearn.datasets.neurovault.NotNull | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_vertex_outer_normals | |
| 0.00s call nilearn/tests/test_signal.py::test_standardize | |
| 0.00s call nilearn/glm/tests/test_utils.py::test_img_table_checks | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_crop | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_reorder_img_mirror | |
| 0.00s call nilearn/reporting/tests/test_html_report.py::test_empty_report[NiftiLabelsMasker] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth4-8] | |
| 0.00s call nilearn/glm/tests/test_utils.py::test_multiple_fast_inv | |
| 0.00s teardown nilearn/_utils/docs.py::nilearn._utils.docs._indentcount_lines | |
| 0.00s teardown nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[full] | |
| 0.00s call nilearn/image/tests/test_resampling.py::test_coord_transform_trivial | |
| 0.00s call nilearn/image/tests/test_image.py::test_crop_threshold_tolerance | |
| 0.00s call nilearn/glm/tests/test_first_level.py::test_scaling | |
| 0.00s teardown nilearn/plotting/tests/test_surf_plotting.py::test_plot_surf_stat_map_error | |
| 0.00s teardown nilearn/plotting/tests/test_img_plotting/test_plot_connectome.py::test_plot_connectome_non_symmetric | |
| 0.00s teardown nilearn/datasets/tests/test_utils.py::test_fetch_files_use_session[True] | |
| 0.00s teardown nilearn/plotting/tests/test_matrix_plotting.py::test_matrix_plotting_grid[lower] | |
| 0.00s call nilearn/reporting/tests/test_html_report.py::test_nifti_maps_masker_report_maps_number_errors[displayed_maps0] | |
| 0.00s call nilearn/surface/tests/test_surface.py::test_sample_locations_between_surfaces[depth2-8] | |
| 0.00s cal |
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