[Debian-med-packaging] Bug#964610: nibabel: FTBFS: dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.8 returned exit code 13
Lucas Nussbaum
lucas at debian.org
Thu Jul 9 11:59:31 BST 2020
Source: nibabel
Version: 3.0.1-1
Severity: serious
Justification: FTBFS on amd64
Tags: bullseye sid ftbfs
Usertags: ftbfs-20200709 ftbfs-bullseye
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>'
> PYBUILD_SYSTEM=custom PYBUILD_TEST_ARGS="PYTHONPATH={build_dir} LC_ALL=C.UTF-8 {interpreter} -m nose --verbose" dh_auto_test
> dh_auto_test: warning: warning: pybuild does not support building out of source tree. In source building enforced.
> I: pybuild base:217: PYTHONPATH=/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8/build LC_ALL=C.UTF-8 python3.8 -m nose --verbose
> /usr/lib/python3.8/imp.py:216: UserWarning: The DICOM readers are highly experimental, unstable, and only work for Siemens time-series at the moment
> Please use with caution. We would be grateful for your help in improving them
> return _load(spec)
> /<<PKGBUILDDIR>>/nibabel/streamlines/tests/test_tck.py:7: FutureWarning: We no longer carry a copy of the 'py3k' module in nibabel; Please import from the 'numpy.compat.py3k' module directly. Full removal scheduled for nibabel 4.0.
> from nibabel.py3k import asbytes
> Tests the introspection and creation of CIFTI-2 BrainModelAxis axes ... ok
> Test the introspection and creation of CIFTI-2 Parcel axes ... ok
> Test the introspection and creation of CIFTI-2 ScalarAxis axes ... ok
> Test the introspection and creation of CIFTI-2 ScalarAxis axes ... ok
> Test the introspection and creation of CIFTI-2 SeriesAxis axes ... ok
> Tests the writing and reading back in of custom created CIFTI-2 axes ... ok
> Tests the common interface for all custom created CIFTI-2 axes ... ok
> autogenerated test from TestCifti2ImageAPI.validate_data_deprecated ... ok
> autogenerated test from TestCifti2ImageAPI.validate_data_interface ... ok
> autogenerated test from TestCifti2ImageAPI.validate_dtype ... ok
> autogenerated test from TestCifti2ImageAPI.validate_filenames ... ERROR
> autogenerated test from TestCifti2ImageAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestCifti2ImageAPI.validate_header ... ok
> autogenerated test from TestCifti2ImageAPI.validate_header_deprecated ... ok
> autogenerated test from TestCifti2ImageAPI.validate_mmap_parameter ... ok
> autogenerated test from TestCifti2ImageAPI.validate_ndim ... ok
> autogenerated test from TestCifti2ImageAPI.validate_no_slicing ... ok
> autogenerated test from TestCifti2ImageAPI.validate_shape ... ok
> autogenerated test from TestCifti2ImageAPI.validate_shape_deprecated ... ok
> autogenerated test from C.validate_data_deprecated ... ok
> autogenerated test from C.validate_data_interface ... ok
> autogenerated test from C.validate_dtype ... ok
> autogenerated test from C.validate_filenames ... ok
> autogenerated test from C.validate_get_data_deprecated ... ok
> autogenerated test from C.validate_header ... ok
> autogenerated test from C.validate_header_deprecated ... ok
> autogenerated test from C.validate_mmap_parameter ... ok
> autogenerated test from C.validate_ndim ... ok
> autogenerated test from C.validate_no_slicing ... ok
> autogenerated test from C.validate_shape ... ok
> autogenerated test from C.validate_shape_deprecated ... ok
> nibabel.cifti2.tests.test_cifti2.test_value_if_klass ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_metadata ... ok
> nibabel.cifti2.tests.test_cifti2.test__float_01 ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_labeltable ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_label ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_parcel ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_vertices ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_transformationmatrixvoxelindicesijktoxyz ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_surface ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_volume ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_vertexindices ... ok
> nibabel.cifti2.tests.test_cifti2.test_cifti2_voxelindicesijk ... ok
> nibabel.cifti2.tests.test_cifti2.test_matrixindicesmap ... ok
> nibabel.cifti2.tests.test_cifti2.test_matrix ... ok
> nibabel.cifti2.tests.test_cifti2.test_underscoring ... ok
> nibabel.cifti2.tests.test_cifti2io_axes.test_read_ones ... SKIP: Skipping test: test_read_ones: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_axes.test_read_conte69_dscalar ... SKIP: Skipping test: test_read_conte69_dscalar: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_axes.test_read_conte69_dtseries ... SKIP: Skipping test: test_read_conte69_dtseries: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_axes.test_read_conte69_dlabel ... SKIP: Skipping test: test_read_conte69_dlabel: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_axes.test_read_conte69_ptseries ... SKIP: Skipping test: test_read_conte69_ptseries: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> test__eq__ (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_as_byteswapped (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_base_affine (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_big_scaling (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_binblock_is_file (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_bytes (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_data_dtype (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_data_scaling (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_data_shape_zooms_affine (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_datatype (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_datatypes (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_default_x_flip (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_dim_info (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_empty (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_empty_check (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_endian_guess (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_eol_check (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_float128 (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_freesurfer_ico7_hack (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_freesurfer_large_vector_hack (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_from_analyze_map (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_from_eg_file (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_from_header (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_general_init (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_get_value_label (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_header_size (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_intents (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_log_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_logger_error (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_magic_offset_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_mappingness (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_nifti_qfac_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_nifti_qsform_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_nifti_xform_codes (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_no_scaling_fixes (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_offset (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_orientation (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_pixdim_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_pixdim_log_checks (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_qform (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_qform_sform (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_quaternion (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_read_write_data (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_recoded_fields (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_scaling (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_set_slice_times (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_sform (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_shapes (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_slice_times (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_str (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_structarr (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_supported_types (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_to_from_fileobj (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test_xyzt_units (nibabel.cifti2.tests.test_cifti2io_header.TestCifti2SingleHeader) ... ok
> test__eq__ (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_as_byteswapped (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_base_affine (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_big_scaling (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_binblock_is_file (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_bytes (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_data_dtype (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_data_scaling (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_data_shape_zooms_affine (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_datatype (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_datatypes (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_default_x_flip (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_dim_info (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_empty (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_empty_check (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_endian_guess (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_eol_check (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_float128 (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_freesurfer_ico7_hack (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_freesurfer_large_vector_hack (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_from_analyze_map (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_from_eg_file (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_from_header (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_general_init (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_get_value_label (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_header_size (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_intents (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_log_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_logger_error (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_magic_offset_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_mappingness (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_nifti_qfac_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_nifti_qsform_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_nifti_xform_codes (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_no_scaling_fixes (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_offset (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_orientation (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_pixdim_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_pixdim_log_checks (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_qform (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_qform_sform (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_quaternion (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_read_write_data (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_recoded_fields (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_scaling (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_set_slice_times (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_sform (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_shapes (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_slice_times (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_str (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_structarr (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_supported_types (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_to_from_fileobj (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> test_xyzt_units (nibabel.cifti2.tests.test_cifti2io_header.TestNifti2SingleHeader) ... ok
> nibabel.cifti2.tests.test_cifti2io_header.test_read_nifti2 ... ok
> nibabel.cifti2.tests.test_cifti2io_header.test_read_internal ... SKIP: Skipping test: test_read_internal: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_read_and_proxies ... SKIP: Skipping test: test_read_and_proxies: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_version ... SKIP: Skipping test: test_version: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_readwritedata ... SKIP: Skipping test: test_readwritedata: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_nibabel_readwritedata ... SKIP: Skipping test: test_nibabel_readwritedata: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> Check that we instantiate Cifti2 classes correctly, and that our ... SKIP: Skipping test: test_cifti2types: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_read_geometry ... SKIP: Skipping test: test_read_geometry: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_read_parcels ... SKIP: Skipping test: test_read_parcels: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_read_scalar ... SKIP: Skipping test: test_read_scalar: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_read_series ... SKIP: Skipping test: test_read_series: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> nibabel.cifti2.tests.test_cifti2io_header.test_read_labels ... SKIP: Skipping test: test_read_labels: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-cifti2 for these tests
> Tests the automatic name conversion to a format recognized by CIFTI-2 ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_dtseries ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_dscalar ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_dlabel ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_dconn ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_ptseries ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_pscalar ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_pdconn ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_dpconn ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_plabel ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_pconn ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_pconnseries ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_pconnscalar ... ok
> nibabel.cifti2.tests.test_new_cifti2.test_wrong_shape ... ok
> nibabel.cmdline.tests.test_parrec2nii.test_parrec2nii_save_load_qform_code ... ok
> nibabel.cmdline.tests.test_parrec2nii.test_parrec2nii_sets_qform_sform_code1 ... ok
> nibabel.cmdline.tests.test_utils.test_table2string ... ok
> nibabel.cmdline.tests.test_utils.test_ap ... ok
> nibabel.cmdline.tests.test_utils.test_safe_get ... ok
> nibabel.cmdline.tests.test_utils.test_get_headers_diff ... ok
> nibabel.cmdline.tests.test_utils.test_display_diff ... ok
> nibabel.cmdline.tests.test_utils.test_get_data_diff ... ok
> nibabel.cmdline.tests.test_utils.test_main ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(True,) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(b'Created for a test', b'Created for a test') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(b'days since 2008-01-01', b'days since 2008-01-01') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files((11,), (11,)) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(10, 10) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(False,) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(b'Created for a test', b'Created for a test') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(b'days since 2008-01-01', b'days since 2008-01-01') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files((11,), (11,)) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(10, 10) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(False,) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(b'Created for a test', b'Created for a test') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(b'days since 2008-01-01', b'days since 2008-01-01') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files((11,), (11,)) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_files(10, 10) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(b'Created for a test', b'Created for a test') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(b'days since 2008-01-01', b'days since 2008-01-01') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio((11,), (11,)) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(10, 10) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(<class 'ValueError'>, <class 'nibabel.externals.netcdf.netcdf_file'>, <_io.BytesIO object at 0x7f4f0f83b9a0>, 'r', True) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(b'Created for a test', b'Created for a test') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(b'days since 2008-01-01', b'days since 2008-01-01') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio((11,), (11,)) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(10, 10) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(2, 2) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(b'Created for a test', b'Created for a test') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(b'days since 2008-01-01', b'days since 2008-01-01') ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio((11,), (11,)) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(10, 10) ... ok
> nibabel.externals.tests.test_netcdf.test_read_write_sio(2, 2) ... ok
> nibabel.externals.tests.test_netcdf.test_read_example_data ... ok
> nibabel.externals.tests.test_netcdf.test_itemset_no_segfault_on_readonly ... /<<PKGBUILDDIR>>/nibabel/externals/netcdf.py:320: RuntimeWarning: Cannot close a netcdf_file opened with mmap=True, when netcdf_variables or arrays referring to its data still exist. All data arrays obtained from such files refer directly to data on disk, and must be copied before the file can be cleanly closed. (See netcdf_file docstring for more information on mmap.)
> warnings.warn((
> ok
> nibabel.externals.tests.test_netcdf.test_write_invalid_dtype(<class 'ValueError'>, <bound method netcdf_file.createVariable of <nibabel.externals.netcdf.netcdf_file object at 0x7f4f0ed1e160>>, 'time', 'int64', ('time',)) ... ok
> nibabel.externals.tests.test_netcdf.test_write_invalid_dtype(<class 'ValueError'>, <bound method netcdf_file.createVariable of <nibabel.externals.netcdf.netcdf_file object at 0x7f4f0ed1e160>>, 'time', 'uint64', ('time',)) ... ok
> nibabel.externals.tests.test_netcdf.test_write_invalid_dtype(<class 'ValueError'>, <bound method netcdf_file.createVariable of <nibabel.externals.netcdf.netcdf_file object at 0x7f4f0ed1e160>>, 'time', 'int', ('time',)) ... ok
> nibabel.externals.tests.test_netcdf.test_write_invalid_dtype(<class 'ValueError'>, <bound method netcdf_file.createVariable of <nibabel.externals.netcdf.netcdf_file object at 0x7f4f0ed1e160>>, 'time', 'uint', ('time',)) ... ok
> nibabel.externals.tests.test_netcdf.test_flush_rewind ... ok
> nibabel.externals.tests.test_netcdf.test_dtype_specifiers ... ok
> nibabel.externals.tests.test_netcdf.test_ticket_1720 ... ok
> Test IO of .surf ... SKIP: Skipping test: test_geometry: cannot find freesurfer fsaverage directory
> Test IO of freesurfer quad files. ... SKIP: Skipping test: test_quad_geometry: cannot find freesurfer fsaverage directory
> Test IO of morphometry data file (eg. curvature). ... SKIP: Skipping test: test_morph_data: cannot find freesurfer fsaverage directory
> Test write_morph_data edge cases ... ok
> Test IO of .annot against freesurfer example data. ... SKIP: Skipping test: test_annot: cannot find freesurfer fsaverage directory
> Test generating .annot file and reading it back. ... ok
> Test the `fill_ctab` parameter to :func:`.write_annot`. ... ok
> Test reading an old-style .annot file. ... ok
> Test IO of .label ... SKIP: Skipping test: test_label: cannot find freesurfer fsaverage directory
> Test writing ANNOT files with repeated labels ... ok
> test__eq__ (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_as_byteswapped (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_binblock_is_file (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_bytes (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_checks (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_empty_check (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_endian_guess (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_general_init (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_get_value_label (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_mappingness (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_str (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_structarr (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_to_from_fileobj (nibabel.freesurfer.tests.test_mghformat.TestMGHHeader) ... ok
> test_api_deprecations (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_data_api (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_data_default (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_data_shape (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_default_header (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_float_affine (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_get_data (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_get_fdata (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_get_shape (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_images (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_isolation (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_load_mmap (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> test_slicer (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_str (nibabel.freesurfer.tests.test_mghformat.TestMGHImage) ... ok
> nibabel.freesurfer.tests.test_mghformat.test_read_mgh ... ok
> nibabel.freesurfer.tests.test_mghformat.test_write_mgh ... ok
> nibabel.freesurfer.tests.test_mghformat.test_write_noaffine_mgh ... ok
> nibabel.freesurfer.tests.test_mghformat.test_set_zooms ... ok
> nibabel.freesurfer.tests.test_mghformat.test_bad_dtype_mgh ... ok
> nibabel.freesurfer.tests.test_mghformat.test_filename_exts ... ok
> nibabel.freesurfer.tests.test_mghformat.test_header_updating ... ok
> nibabel.freesurfer.tests.test_mghformat.test_cosine_order ... ok
> nibabel.freesurfer.tests.test_mghformat.test_eq ... ok
> nibabel.freesurfer.tests.test_mghformat.test_header_slope_inter ... ok
> nibabel.freesurfer.tests.test_mghformat.test_mgh_load_fileobj ... ok
> nibabel.freesurfer.tests.test_mghformat.test_mgh_affine_default ... ok
> nibabel.freesurfer.tests.test_mghformat.test_mgh_set_data_shape ... ok
> nibabel.freesurfer.tests.test_mghformat.test_mghheader_default_structarr ... ok
> nibabel.freesurfer.tests.test_mghformat.test_deprecated_fields ... ok
> nibabel.gifti.tests.test_1.test_load_gifti ... ok
> nibabel.gifti.tests.test_gifti.test_agg_data ... ok
> nibabel.gifti.tests.test_gifti.test_data ... ok
> nibabel.gifti.tests.test_gifti.test_gifti_image ... ok
> nibabel.gifti.tests.test_gifti.test_gifti_image_bad_inputs ... ok
> nibabel.gifti.tests.test_gifti.test_dataarray_empty ... ok
> nibabel.gifti.tests.test_gifti.test_dataarray_init ... ok
> nibabel.gifti.tests.test_gifti.test_dataarray_from_array ... ok
> nibabel.gifti.tests.test_gifti.test_to_xml_open_close_deprecations ... ok
> nibabel.gifti.tests.test_gifti.test_num_dim_deprecation ... ok
> nibabel.gifti.tests.test_gifti.test_labeltable ... ok
> nibabel.gifti.tests.test_gifti.test_metadata ... ok
> nibabel.gifti.tests.test_gifti.test_gifti_label_rgba ... ok
> nibabel.gifti.tests.test_gifti.test_print_summary ... ok
> nibabel.gifti.tests.test_gifti.test_gifti_coord ... ok
> nibabel.gifti.tests.test_gifti.test_data_tag_deprecated ... ok
> nibabel.gifti.tests.test_gifti.test_gifti_round_trip ... ok
> nibabel.gifti.tests.test_gifti.test_data_array_round_trip ... ok
> nibabel.gifti.tests.test_gifti.test_darray_dtype_coercion_failures ... ok
> nibabel.gifti.tests.test_giftiio.test_read_deprecated ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_default_types ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_read_ordering ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_metadata ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_metadata_deprecations ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_dataarray1 ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_dataarray2 ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_dataarray3 ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_dataarray4 ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_dataarray5 ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_base64_written ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_readwritedata ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_modify_darray ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_write_newmetadata ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_getbyintent ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_load_labeltable ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_labeltable_deprecations ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_parse_dataarrays ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_parse_deprecated ... ok
> nibabel.gifti.tests.test_parse_gifti_fast.test_parse_with_buffersize ... ok
> nibabel.nicom.tests.test_csareader.test_csa_header_read ... SKIP: Skipping test: test_csa_header_read: could not import dicom or pydicom
> nibabel.nicom.tests.test_csareader.test_csas0 ... ok
> nibabel.nicom.tests.test_csareader.test_csa_len0 ... ok
> nibabel.nicom.tests.test_csareader.test_csa_nitem ... ok
> nibabel.nicom.tests.test_csareader.test_csa_params ... ok
> nibabel.nicom.tests.test_csareader.test_ice_dims ... ok
> nibabel.nicom.tests.test_csareader.test_missing_csa_elem ... SKIP: Skipping test: test_missing_csa_elem: could not import dicom or pydicom
> nibabel.nicom.tests.test_dicomreaders.test_read_dwi ... SKIP: Skipping test: test_read_dwi: could not import dicom or pydicom
> nibabel.nicom.tests.test_dicomreaders.test_read_dwis ... SKIP: Skipping test: test_read_dwis: could not import dicom or pydicom
> nibabel.nicom.tests.test_dicomreaders.test_passing_kwds ... SKIP: Skipping test: test_passing_kwds: could not import dicom or pydicom
> nibabel.nicom.tests.test_dicomreaders.test_slices_to_series ... SKIP: Skipping test: test_slices_to_series: could not import dicom or pydicom
> nibabel.nicom.tests.test_dwiparams.test_b2q ... ok
> nibabel.nicom.tests.test_dwiparams.test_q2bg ... ok
> nibabel.nicom.tests.test_structreader.test_unpacker ... ok
> nibabel.nicom.tests.test_utils.test_find_private_section_real ... SKIP: Skipping test: test_find_private_section_real: could not import dicom or pydicom
> test_arraysequence_append (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_copy (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_extend (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_getitem (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_iter (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_operators (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_repr (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_arraysequence_setitem (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_creating_arraysequence_from_arraysequence (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_creating_arraysequence_from_generator (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_creating_arraysequence_from_list (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_creating_empty_arraysequence (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_get_data (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> test_save_and_load_arraysequence (nibabel.streamlines.tests.test_array_sequence.TestArraySequence) ... ok
> nibabel.streamlines.tests.test_array_sequence.test_concatenate ... ok
> test_load_complex_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... /<<PKGBUILDDIR>>/nibabel/streamlines/tractogram.py:770: Warning: Number of streamlines will be determined manually by looping through the streamlines. If you know the actual number of streamlines, you might want to set it beforehand via `self.header.nb_streamlines`.
> warn("Number of streamlines will be determined manually by looping"
> ok
> test_load_empty_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_load_simple_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_load_unknown_format (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_complex_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_empty_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_from_generator (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_simple_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_sliced_tractogram (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_tractogram_file (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> test_save_unknown_format (nibabel.streamlines.tests.test_streamlines.TestLoadSave) ... ok
> nibabel.streamlines.tests.test_streamlines.test_is_supported_detect_format ... ok
> test_load_empty_file (nibabel.streamlines.tests.test_tck.TestTCK) ... /<<PKGBUILDDIR>>/nibabel/streamlines/tractogram.py:770: Warning: Number of streamlines will be determined manually by looping through the streamlines. If you know the actual number of streamlines, you might want to set it beforehand via `self.header.nb_streamlines`.
> warn("Number of streamlines will be determined manually by looping"
> ok
> test_load_file_with_wrong_information (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_load_matlab_nan_file (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_load_simple_file (nibabel.streamlines.tests.test_tck.TestTCK) ... /<<PKGBUILDDIR>>/nibabel/streamlines/tractogram.py:770: Warning: Number of streamlines will be determined manually by looping through the streamlines. If you know the actual number of streamlines, you might want to set it beforehand via `self.header.nb_streamlines`.
> warn("Number of streamlines will be determined manually by looping"
> ok
> test_load_simple_file_in_big_endian (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_load_write_file (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_str (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_write_empty_file (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_write_simple_file (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_writeable_data (nibabel.streamlines.tests.test_tck.TestTCK) ... ok
> test_lazydict_creation (nibabel.streamlines.tests.test_tractogram.TestLazyDict) ... ok
> test_lazy_tractogram_apply_affine (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_lazy_tractogram_copy (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_lazy_tractogram_creation (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_lazy_tractogram_extend (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_lazy_tractogram_from_data_func (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_lazy_tractogram_getitem (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_lazy_tractogram_len (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_tractogram_to_world (nibabel.streamlines.tests.test_tractogram.TestLazyTractogram) ... ok
> test_extend (nibabel.streamlines.tests.test_tractogram.TestPerArrayDict) ... ok
> test_getitem (nibabel.streamlines.tests.test_tractogram.TestPerArrayDict) ... ok
> test_per_array_dict_creation (nibabel.streamlines.tests.test_tractogram.TestPerArrayDict) ... ok
> test_extend (nibabel.streamlines.tests.test_tractogram.TestPerArraySequenceDict) ... ok
> test_getitem (nibabel.streamlines.tests.test_tractogram.TestPerArraySequenceDict) ... ok
> test_per_array_sequence_dict_creation (nibabel.streamlines.tests.test_tractogram.TestPerArraySequenceDict) ... ok
> test_creating_invalid_tractogram (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... /usr/lib/python3/dist-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> return array(a, dtype, copy=False, order=order)
> ok
> test_setting_affine_to_rasmm (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_add_new_data (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_apply_affine (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_copy (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_creation (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_extend (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_getitem (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_tractogram_to_world (nibabel.streamlines.tests.test_tractogram.TestTractogram) ... ok
> test_creating_tractogram_item (nibabel.streamlines.tests.test_tractogram.TestTractogramItem) ... ok
> nibabel.streamlines.tests.test_tractogram_file.test_subclassing_tractogram_file ... ok
> nibabel.streamlines.tests.test_tractogram_file.test_tractogram_file ... ok
> test_header_read_restore (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_load_complex_file (nibabel.streamlines.tests.test_trk.TestTRK) ... /<<PKGBUILDDIR>>/nibabel/streamlines/tractogram.py:770: Warning: Number of streamlines will be determined manually by looping through the streamlines. If you know the actual number of streamlines, you might want to set it beforehand via `self.header.nb_streamlines`.
> warn("Number of streamlines will be determined manually by looping"
> ok
> test_load_complex_file_in_big_endian (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_load_empty_file (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_load_file_with_wrong_information (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_load_simple_file (nibabel.streamlines.tests.test_trk.TestTRK) ... /<<PKGBUILDDIR>>/nibabel/streamlines/tractogram.py:770: Warning: Number of streamlines will be determined manually by looping through the streamlines. If you know the actual number of streamlines, you might want to set it beforehand via `self.header.nb_streamlines`.
> warn("Number of streamlines will be determined manually by looping"
> ok
> test_load_trk_version_1 (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_load_write_LPS_file (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_load_write_file (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_str (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_tractogram_file_properties (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_write_complex_file (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_write_empty_file (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_write_optional_header_fields (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_write_scalars_and_properties_name_too_long (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_write_simple_file (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> test_write_too_many_scalars_and_properties (nibabel.streamlines.tests.test_trk.TestTRK) ... ok
> nibabel.streamlines.tests.test_trk.test_encode_names ... ok
> nibabel.streamlines.tests.test_trk.test_decode_names ... ok
> nibabel.streamlines.tests.test_utils.test_get_affine_from_reference ... ok
> nibabel.testing.test_data ... ok
> nibabel.testing_pytest.test_data ... ok
> nibabel.tests.test_affines.test_apply_affine ... ok
> nibabel.tests.test_affines.test_matrix_vector ... ok
> nibabel.tests.test_affines.test_append_diag ... ok
> nibabel.tests.test_affines.test_dot_reduce ... ok
> nibabel.tests.test_affines.test_voxel_sizes ... ok
> Check the calculation of inclination of an affine axes. ... ok
> test__eq__ (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_base_affine (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_bytes (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_checks (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_data_dtype (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_datatype (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_default_x_flip (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_empty (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_empty_check (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_endian_guess (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_from_analyze_map (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_from_eg_file (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_from_header (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_general_init (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_get_value_label (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_header_size (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_log_checks (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_logger_error (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_mappingness (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_offset (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_orientation (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_read_write_data (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_scaling (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_shapes (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_slope_inter (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_str (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_structarr (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_supported_types (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_analyze.TestAnalyzeHeader) ... ok
> test_affine_44 (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_api_deprecations (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_big_offset_exts (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_data_api (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_data_default (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_data_hdr_cache (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_data_shape (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_default_header (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_float_affine (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_get_data (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_get_fdata (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_get_shape (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_header_updating (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_images (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_isolation (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_load_mmap (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_no_finite_values (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_offset_to_zero (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_pickle (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_slicer (nibabel.tests.test_analyze.TestAnalyzeImage) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_str (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> test_supported_types (nibabel.tests.test_analyze.TestAnalyzeImage) ... ok
> nibabel.tests.test_analyze.test_best_affine ... ok
> nibabel.tests.test_analyze.test_data_code_error ... ok
> nibabel.tests.test_analyze.test_unsupported ... ok
> autogenerated test from TestRunAllTests.validate_first ... ok
> autogenerated test from TestRunAllTests.validate_second ... ok
> autogenerated test from TestValidateSomething.validate_something ... ok
> nibabel.tests.test_arrayproxy.test_init ... ok
> nibabel.tests.test_arrayproxy.test_tuplespec ... ok
> nibabel.tests.test_arrayproxy.test_nifti1_init ... ok
> nibabel.tests.test_arrayproxy.test_proxy_slicing ... ok
> nibabel.tests.test_arrayproxy.test_is_proxy ... ok
> nibabel.tests.test_arrayproxy.test_reshape_dataobj ... ok
> nibabel.tests.test_arrayproxy.test_reshaped_is_proxy ... ok
> nibabel.tests.test_arrayproxy.test_get_unscaled ... ok
> nibabel.tests.test_arrayproxy.test_mmap ... ok
> nibabel.tests.test_arrayproxy.test_keep_file_open_true_false_invalid ... ok
> nibabel.tests.test_arrayproxy.test_pickle_lock ... ok
> nibabel.tests.test_arraywriters.test_arraywriters ... ok
> nibabel.tests.test_arraywriters.test_arraywriter_check_scaling ... ok
> nibabel.tests.test_arraywriters.test_no_scaling ... ok
> nibabel.tests.test_arraywriters.test_scaling_needed ... ok
> nibabel.tests.test_arraywriters.test_special_rt ... ok
> nibabel.tests.test_arraywriters.test_high_int2uint ... ok
> nibabel.tests.test_arraywriters.test_slope_inter_castable ... ok
> nibabel.tests.test_arraywriters.test_calculate_scale ... ok
> nibabel.tests.test_arraywriters.test_resets ... ok
> nibabel.tests.test_arraywriters.test_no_offset_scale ... ok
> nibabel.tests.test_arraywriters.test_with_offset_scale ... ok
> nibabel.tests.test_arraywriters.test_io_scaling ... ok
> nibabel.tests.test_arraywriters.test_input_ranges ... ok
> nibabel.tests.test_arraywriters.test_nan2zero ... ok
> nibabel.tests.test_arraywriters.test_byte_orders ... ok
> nibabel.tests.test_arraywriters.test_writers_roundtrip ... ok
> nibabel.tests.test_arraywriters.test_to_float ... ok
> nibabel.tests.test_arraywriters.test_dumber_writers ... ok
> nibabel.tests.test_arraywriters.test_writer_maker ... ok
> nibabel.tests.test_arraywriters.test_float_int_min_max ... ok
> nibabel.tests.test_arraywriters.test_int_int_min_max ... ok
> nibabel.tests.test_arraywriters.test_int_int_slope ... ok
> nibabel.tests.test_arraywriters.test_float_int_spread ... ok
> nibabel.tests.test_arraywriters.test_rt_bias ... ok
> nibabel.tests.test_arraywriters.test_nan2zero_scaling ... ok
> nibabel.tests.test_arraywriters.test_finite_range_nan ... ok
> nibabel.tests.test_batteryrunners.test_init_basic ... ok
> nibabel.tests.test_batteryrunners.test_init_report ... ok
> nibabel.tests.test_batteryrunners.test_report_strings ... ok
> nibabel.tests.test_batteryrunners.test_logging ... ok
> nibabel.tests.test_batteryrunners.test_checks ... ok
> nibabel.tests.test_brikhead.TestAFNIHeader.test_makehead ... ok
> nibabel.tests.test_brikhead.TestAFNIImage.test_array_proxy_slicing ... ok
> nibabel.tests.test_brikhead.TestAFNIImage.test_brikheadfile ... ok
> nibabel.tests.test_brikhead.TestAFNIImage.test_load ... ok
> nibabel.tests.test_brikhead.TestBadFiles.test_brikheadfile ... ok
> nibabel.tests.test_brikhead.TestBadVars.test_unpack_var ... ok
> nibabel.tests.test_casting.test_shared_range ... ok
> nibabel.tests.test_casting.test_shared_range_inputs ... ok
> nibabel.tests.test_casting.test_casting ... ok
> nibabel.tests.test_casting.test_int_abs ... ok
> nibabel.tests.test_casting.test_floor_log2 ... ok
> nibabel.tests.test_casting.test_able_int_type ... ok
> nibabel.tests.test_casting.test_able_casting ... ok
> most capable type will be np.longdouble except when ... ok
> nibabel.tests.test_casting.test_longdouble_precision_improved ... ok
> nibabel.tests.test_casting.test_ulp ... ok
> nibabel.tests.test_data.test_datasource('some/path/unlikeley', 'some/path/unlikeley') ... ok
> nibabel.tests.test_data.test_datasource('some/path/un/like/ley', 'some/path/un/like/ley') ... ok
> nibabel.tests.test_data.test_versioned(<class 'nibabel.data.DataError'>, <class 'nibabel.data.VersionedDatasource'>, '/tmp/tmp0qklx1o6') ... ok
> nibabel.tests.test_data.test_versioned(<class 'nibabel.data.DataError'>, <class 'nibabel.data.VersionedDatasource'>, '/tmp/tmp0qklx1o6') ... ok
> nibabel.tests.test_data.test_versioned(<class 'nibabel.data.DataError'>, <class 'nibabel.data.VersionedDatasource'>, '/tmp/tmp0qklx1o6') ... ok
> nibabel.tests.test_data.test_versioned('0.1', '0.1') ... ok
> nibabel.tests.test_data.test_versioned(0.1, 0.1) ... ok
> nibabel.tests.test_data.test_versioned(0, 0) ... ok
> nibabel.tests.test_data.test_versioned(1, 1) ... ok
> nibabel.tests.test_data.test_versioned('/tmp/tmp0qklx1o6/config.ini', '/tmp/tmp0qklx1o6/config.ini') ... ok
> nibabel.tests.test_data.test_versioned('0.1.2.dev', '0.1.2.dev') ... ok
> nibabel.tests.test_data.test_versioned(0.1, 0.1) ... ok
> nibabel.tests.test_data.test_versioned(0, 0) ... ok
> nibabel.tests.test_data.test_versioned(1, 1) ... ok
> nibabel.tests.test_data.test__cfg_value('', '') ... ok
> nibabel.tests.test_data.test__cfg_value('', '') ... ok
> nibabel.tests.test_data.test__cfg_value('', '') ... ok
> nibabel.tests.test_data.test__cfg_value('/some/path', '/some/path') ... ok
> nibabel.tests.test_data.test_data_path ... ok
> nibabel.tests.test_data.test_find_data_dir(<class 'nibabel.data.DataError'>, <function find_data_dir at 0x7f4f0f37a820>, ['/<<PKGBUILDDIR>>/nibabel/tests'], 'implausible', 'directory') ... ok
> nibabel.tests.test_data.test_find_data_dir(<class 'nibabel.data.DataError'>, <function find_data_dir at 0x7f4f0f37a820>, ['/<<PKGBUILDDIR>>/nibabel/tests'], 'test_data.py') ... ok
> nibabel.tests.test_data.test_find_data_dir('/<<PKGBUILDDIR>>/nibabel/tests', '/<<PKGBUILDDIR>>/nibabel/tests') ... ok
> nibabel.tests.test_data.test_find_data_dir('/<<PKGBUILDDIR>>/nibabel/tests', '/<<PKGBUILDDIR>>/nibabel/tests') ... ok
> nibabel.tests.test_data.test_make_datasource(<class 'nibabel.data.DataError'>, <function make_datasource at 0x7f4f0f37a8b0>, {'relpath': 'pkg'}) ... ok
> nibabel.tests.test_data.test_make_datasource(<class 'nibabel.data.DataError'>, <function make_datasource at 0x7f4f0f37a8b0>, {'relpath': 'pkg'}) ... ok
> nibabel.tests.test_data.test_make_datasource('0.1', '0.1') ... ok
> nibabel.tests.test_data.test_bomber ... ok
> nibabel.tests.test_data.test_bomber_inspect ... ok
> nibabel.tests.test_data.test_datasource_or_bomber(<class 'nibabel.data.DataError'>, <built-in function getattr>, <nibabel.data.Bomber object at 0x7f4f0e2a8f10>, 'get_filename') ... ok
> nibabel.tests.test_data.test_datasource_or_bomber(<class 'nibabel.data.DataError'>, <built-in function getattr>, <nibabel.data.Bomber object at 0x7f4f0e2a8070>, 'get_filename') ... ok
> autogenerated test from TestDataobjAPI.validate_data_deprecated ... ok
> autogenerated test from TestDataobjAPI.validate_data_interface ... ok
> autogenerated test from TestDataobjAPI.validate_dtype ... ok
> autogenerated test from TestDataobjAPI.validate_filenames ... ok
> autogenerated test from TestDataobjAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestDataobjAPI.validate_header ... ok
> autogenerated test from TestDataobjAPI.validate_header_deprecated ... ok
> autogenerated test from TestDataobjAPI.validate_mmap_parameter ... ok
> autogenerated test from TestDataobjAPI.validate_ndim ... ok
> autogenerated test from TestDataobjAPI.validate_no_slicing ... ok
> autogenerated test from TestDataobjAPI.validate_shape ... ok
> autogenerated test from TestDataobjAPI.validate_shape_deprecated ... ok
> autogenerated test from C.validate_filenames ... ok
> autogenerated test from C.validate_get_data_deprecated ... ok
> autogenerated test from C.validate_header ... ok
> autogenerated test from C.validate_header_deprecated ... ok
> autogenerated test from C.validate_no_slicing ... ok
> nibabel.tests.test_deprecated.TestDeprecatorFunc.test_dep_func ... ok
> nibabel.tests.test_deprecated.TestNibabelDeprecator.test_dep_func ... ok
> nibabel.tests.test_deprecated.test_module_proxy ... ok
> nibabel.tests.test_deprecated.test_futurewarning_mixin ... ok
> nibabel.tests.test_deprecated.test_dev_version ... ok
> nibabel.tests.test_deprecator.TestDeprecatorFunc.test_dep_func ... ok
> nibabel.tests.test_deprecator.TestDeprecatorMaker.test_deprecator_maker ... ok
> nibabel.tests.test_deprecator.test__ensure_cr ... ok
> nibabel.tests.test_deprecator.test__add_dep_doc ... ok
> SKIP: Need pydicom for dft tests, skipping
> nibabel.tests.test_diff.test_diff_values_int ... ok
> nibabel.tests.test_diff.test_diff_values_float ... ok
> nibabel.tests.test_diff.test_diff_values_mixed ... ok
> nibabel.tests.test_diff.test_diff_values_array ... ok
> test__eq__ (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_bytes (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_dtype (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_empty (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_empty_check (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_endian_guess (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_from_eg_file (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_general_init (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_header_codes (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_header_size (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_mappingness (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_str (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_structarr (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_update (nibabel.tests.test_ecat.TestEcatHeader) ... ok
> test_array_proxy (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_array_proxy_slicing (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_data (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_data_regression (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_file (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_float_affine (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_isolation (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_mlist_regression (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_save (nibabel.tests.test_ecat.TestEcatImage) ... ok
> test_mlist (nibabel.tests.test_ecat.TestEcatMlist) ... ok
> test_mlist_errors (nibabel.tests.test_ecat.TestEcatMlist) ... ok
> test_subheader (nibabel.tests.test_ecat.TestEcatSubHeader) ... ok
> test_subheader_size (nibabel.tests.test_ecat.TestEcatSubHeader) ... ok
> nibabel.tests.test_ecat.test_from_filespec_deprecation ... FAIL
> nibabel.tests.test_ecat_data.TestMultiframe.test_load ... SKIP: Skipping test: test_load: Need files in /<<PKGBUILDDIR>>/nibabel-data/nipy-ecattest for these tests
> nibabel.tests.test_ecat_data.TestNegatives.test_load ... SKIP: Skipping test: test_load: Need files in /<<PKGBUILDDIR>>/nibabel-data/nipy-ecattest for these tests
> nibabel.tests.test_endiancodes.test_native_swapped ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_endiancodes.test_to_numpy(True,) ... ok
> nibabel.tests.test_environment.test_nipy_home ... ok
> nibabel.tests.test_environment.test_user_dir ... ok
> nibabel.tests.test_environment.test_sys_dir ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_basic_euler(True,) ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_mat(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_euler_instability(True,) ... ok
> nibabel.tests.test_euler.test_euler_instability(True,) ... ok
> nibabel.tests.test_euler.test_euler_instability(False,) ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.66533454e-16, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.73191211e-16, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, -1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 2.46519033e-32, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.66533454e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.38777878e-16, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, 1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 2.46519033e-32, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.11022302e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.49999999999999983, -0.5000000000000002, -0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.49999999999999994, 0.5000000000000002, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5000000000000001, 0.5, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.49999999999999994, 0.5, -0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 2.46519033e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, -1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, 1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, 1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , -0.70710678, -0. ]), array([ 7.07106781e-01, 2.46519033e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 2.46519033e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.49999999999999994, -0.49999999999999994, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.49999999999999994, 0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5000000000000002, 0.49999999999999983, 0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5000000000000001, -0.49999999999999983, -0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.11022302e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.22464680e-16, -1.49975978e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -7.49879891e-33, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.11022302e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.66533454e-16, -3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -0.00000000e+00, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -7.49879891e-33, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.11022302e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.22464680e-16, 1.49975978e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5000000000000001, 0.49999999999999983, 0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5000000000000002, 0.49999999999999983, -0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.49999999999999994, -0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.49999999999999994, 0.49999999999999994, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0.70710678, 0. ]), array([ 7.07106781e-01, 2.46519033e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 2.46519033e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, 1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -0.00000000e+00, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, -1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 2.46519033e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.49999999999999994, 0.5, 0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5000000000000001, -0.5, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.49999999999999994, -0.5000000000000002, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.49999999999999983, -0.5000000000000002, 0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.11022302e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , 0.70710678]), array([ -7.07106781e-01, 2.46519033e-32, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 2.46519033e-32, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, 1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.38777878e-16, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.73191211e-16, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.66533454e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 2.46519033e-32, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, -1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.66533454e-16, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.73191211e-16, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.49999999999999983, -0.5000000000000001, 0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.5000000000000001, 0.5, 0.5000000000000001, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.49999999999999994, 0.5000000000000002, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.07816517e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.49999999999999994, -0.49999999999999994, -0.5000000000000002, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.49999999999999983, -0.5000000000000001, -0.49999999999999994, -0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.94840113e-16, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, -7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.49999999999999994, 0.5, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.4999999999999999, 0.5, 0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5000000000000001, 0.5, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -6.49467042e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.49999999999999994, -0.49999999999999994, -0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.5000000000000001, -0.49999999999999994, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.49999999999999994, -0.49999999999999994, 0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5, 0.49999999999999983, 0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5000000000000001, 0.5, -0.49999999999999983, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.74018868e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.5, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.49999999999999994, -0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.5000000000000001, 0.4999999999999999, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.08244507e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.66533454e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.49999999999999983, 0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, 1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5000000000000002, -0.49999999999999983, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.4999999999999999, 0.5, -0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0. , 0. , -0.70710678, 0.70710678]), array([ -4.32978028e-17, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5, -0.5000000000000001, -0.5, 0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0.70710678, -0. , -0. ]), array([-0.70710678, -0.70710678, 0. , -0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.70710678, -0.70710678, 0. , -0. ]), (-0.7071067811865475, -0.7071067811865476, 0.0, -0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5, -0.5000000000000001, 0.5, -0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0. , 0. , -0.70710678, 0.70710678]), array([ -4.32978028e-17, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.4999999999999999, 0.5, 0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5000000000000002, 0.49999999999999983, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, -1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.49999999999999983, -0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.08244507e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.66533454e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.5000000000000001, -0.4999999999999999, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.49999999999999994, 0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.5, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.74018868e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5000000000000001, 0.5, 0.49999999999999983, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5, 0.49999999999999983, -0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.49999999999999994, -0.49999999999999994, -0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.5000000000000001, -0.49999999999999994, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.49999999999999994, -0.49999999999999994, 0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -6.49467042e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5000000000000001, 0.5, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.4999999999999999, 0.5, -0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.49999999999999994, -0.5, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.94840113e-16, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, -7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.49999999999999983, -0.5000000000000001, 0.49999999999999994, 0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.49999999999999994, -0.49999999999999994, 0.5000000000000002, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.07816517e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.49999999999999994, 0.5000000000000002, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.5000000000000001, 0.5, -0.5000000000000001, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.49999999999999983, -0.5000000000000001, -0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.00000000e+00, -7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.49999999999999983, 0.5, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5, 0.49999999999999983, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.49999999999999994, -0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , 0.70710678, -0. ]), array([ -7.07106781e-01, -1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5000000000000001, -0.49999999999999994, -0.49999999999999994, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 2.22044605e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.66533454e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.23259516e-32, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -5.55111512e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, -3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.23259516e-32, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.36760893e-16, -6.12323400e-17, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, 6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5, -0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, 0. ]), array([ 7.07106781e-01, -1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5000000000000001, -0.5, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.49999999999999983, -0.5000000000000001, 0.49999999999999994, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.49999999999999994, 0.5000000000000001, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.00000000e+00, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.00000000e+00, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.49999999999999994, -0.5000000000000001, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.49999999999999983, -0.5000000000000001, -0.49999999999999994, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5000000000000001, 0.5, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , 0.70710678, -0. ]), array([ 7.07106781e-01, -1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5, 0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 5.14799994e-17, 6.12323400e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, 6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.23259516e-32, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -5.55111512e-17, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.23259516e-32, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.66533454e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 2.22044605e-16, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5000000000000001, -0.49999999999999994, 0.49999999999999994, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, 0. ]), array([ -7.07106781e-01, -1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.49999999999999994, 0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5, -0.49999999999999983, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.49999999999999983, -0.5, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, 6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.00000000e+00, 7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.5000000000000001, -0.49999999999999983, 0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.39682143e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5, 0.5000000000000001, 0.49999999999999983, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5000000000000002, 0.49999999999999994, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.49999999999999994, -0.49999999999999994, -0.49999999999999994, -0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.49999999999999983, 0.5000000000000002, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.51542310e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.66533454e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5000000000000001, 0.49999999999999983, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, -1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.4999999999999999, -0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 6.49467042e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.5000000000000001, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.49999999999999994, 0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.05367575e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.49999999999999994, 0.5000000000000001, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0.70710678, 0. , 0. ]), array([ 7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.49999999999999994, 0.49999999999999994, -0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.49999999999999983, -0.5, -0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5, -0.5000000000000001, 0.5, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.5000000000000001, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.49999999999999994, -0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.5, -0.5, 0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.49467042e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, -7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.49999999999999983, -0.5, 0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 6.49467042e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5000000000000002, 0.49999999999999994, 0.5000000000000001, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5, 0.4999999999999999, -0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.5000000000000001, -0.5, -0.4999999999999999, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0.70710678, -0. , -0. ]), array([ 0.70710678, -0.70710678, 0. , 0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0.70710678, 0. , 0. ]), (0.7071067811865476, -0.7071067811865475, 0.0, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.5000000000000001, -0.5, 0.4999999999999999, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5, 0.4999999999999999, 0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5000000000000002, 0.49999999999999994, -0.5000000000000001, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 6.49467042e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.49999999999999983, -0.5, -0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.49467042e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, -7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.5, 0.5, -0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.49999999999999994, 0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.5000000000000001, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5, -0.5000000000000001, -0.5, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.49999999999999983, -0.5, 0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.49999999999999994, 0.49999999999999994, 0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0.70710678, 0. , 0. ]), array([ 7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.49999999999999994, 0.5000000000000001, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.05367575e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.49999999999999994, -0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.5000000000000001, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 6.49467042e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.4999999999999999, 0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, 1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5000000000000001, -0.49999999999999983, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.51542310e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.66533454e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.49999999999999983, -0.5000000000000002, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.49999999999999994, -0.49999999999999994, 0.49999999999999994, 0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5000000000000002, 0.49999999999999994, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5, 0.5000000000000001, -0.49999999999999983, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.39682143e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.5000000000000001, -0.49999999999999983, -0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.49975978e-32, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , -0. , 0.70710678]), array([ 7.07106781e-01, 8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.66533454e-16, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.22464680e-16, -7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.66533454e-16, 3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -0.00000000e+00, 1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -0.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.66533454e-16, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.22464680e-16, -7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.49975978e-32, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.4999999999999999, 0.5000000000000001, 0.5, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.5, -0.5000000000000001, 0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , 0.70710678, -0. ]), array([-0.70710678, -0. , -0.70710678, -0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.70710678, -0. , -0.70710678, -0. ]), (-0.7071067811865475, -0.0, -0.7071067811865476, -0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.5, -0.5000000000000001, -0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.4999999999999999, -0.5000000000000001, 0.5, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.5, 0.4999999999999999, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.4999999999999999, -0.5, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , -0.70710678, -0. ]), array([ 0.70710678, 0. , -0.70710678, 0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, 0. ]), (0.7071067811865476, 0.0, -0.7071067811865475, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.4999999999999999, -0.5, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.5, 0.4999999999999999, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, -0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , 0.70710678]), array([-0.70710678, -0. , 0. , -0.70710678])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.70710678, -0. , 0. , -0.70710678]), (-0.7071067811865475, -0.0, 0.0, -0.7071067811865476)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , -0.70710678]), array([ 0.70710678, 0. , 0. , -0.70710678])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , -0.70710678]), (0.7071067811865476, 0.0, 0.0, -0.7071067811865475)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1., 0., 0., 0.]), array([ 1., 0., 0., 0.])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 1., 0., 0., 0.]), (1.0, 0.0, 0.0, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , 0.70710678]), array([ 0.70710678, 0. , 0. , 0.70710678])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , 0.70710678]), (0.7071067811865476, 0.0, 0.0, 0.7071067811865475)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , -0.70710678]), array([-0.70710678, 0. , -0. , 0.70710678])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.70710678, 0. , -0. , 0.70710678]), (-0.7071067811865475, 0.0, -0.0, 0.7071067811865476)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.5, -0.4999999999999999, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.4999999999999999, 0.5, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0.70710678, 0. ]), array([ 0.70710678, 0. , 0.70710678, 0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0.70710678, 0. ]), (0.7071067811865476, 0.0, 0.7071067811865475, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.4999999999999999, 0.5, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.5, -0.4999999999999999, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -0.00000000e+00, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.4999999999999999, -0.5000000000000001, -0.5, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.5, 0.5000000000000001, 0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, 0. ]), array([-0.70710678, 0. , 0.70710678, 0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.70710678, 0. , 0.70710678, 0. ]), (-0.7071067811865475, 0.0, 0.7071067811865476, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.5, 0.5000000000000001, -0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.4999999999999999, 0.5000000000000001, -0.5, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.49975978e-32, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , 0. , 0.70710678]), array([ 7.07106781e-01, -8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.66533454e-16, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.22464680e-16, 7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.66533454e-16, -3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, -1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.66533454e-16, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 1.22464680e-16, 7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -0.00000000e+00, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 1.49975978e-32, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.49999999999999994, 0.49999999999999994, -0.49999999999999994, 0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5000000000000002, -0.49999999999999994, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5, -0.5000000000000001, 0.49999999999999983, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.39682143e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.5000000000000001, 0.49999999999999983, 0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.49999999999999994, 0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.5000000000000001, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -6.49467042e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.4999999999999999, -0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, -1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5000000000000001, 0.49999999999999983, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.51542310e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.66533454e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.49999999999999983, 0.5000000000000002, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5, 0.5000000000000001, 0.5, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.49999999999999983, 0.5, -0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.49999999999999994, -0.49999999999999994, -0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0.70710678, -0. , -0. ]), array([ 7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.49999999999999994, -0.5000000000000001, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.05367575e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5000000000000002, -0.49999999999999994, 0.5000000000000001, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -6.49467042e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.49999999999999983, 0.5, 0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.49467042e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, 7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.5, -0.5, -0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.49999999999999994, -0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.5000000000000001, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5, -0.4999999999999999, 0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.5000000000000001, 0.5, 0.4999999999999999, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0.70710678, 0. , 0. ]), array([ 0.70710678, 0.70710678, 0. , 0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0.70710678, 0. , 0. ]), (0.7071067811865476, 0.7071067811865475, 0.0, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.5000000000000001, 0.5, -0.4999999999999999, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5, -0.4999999999999999, -0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.5000000000000001, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.49999999999999994, 0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.5, 0.5, 0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.49467042e-17, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, 7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.49999999999999983, 0.5, -0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -6.49467042e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5000000000000002, -0.49999999999999994, -0.5000000000000001, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.05367575e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.49999999999999994, -0.5000000000000001, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0.70710678, -0. , -0. ]), array([ 7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.49999999999999994, -0.49999999999999994, 0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.49999999999999983, 0.5, 0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5, 0.5000000000000001, -0.5, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.49999999999999983, -0.5000000000000002, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.51542310e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.66533454e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5000000000000001, -0.49999999999999983, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, 1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.4999999999999999, 0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -6.49467042e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.5000000000000001, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.49999999999999994, -0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.5000000000000001, 0.49999999999999983, -0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.39682143e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5, -0.5000000000000001, -0.49999999999999983, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5000000000000002, -0.49999999999999994, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.49999999999999994, 0.49999999999999994, 0.49999999999999994, -0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.00000000e+00, -7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5000000000000001, 0.49999999999999994, -0.49999999999999994, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , 0.70710678, -0. ]), array([ -7.07106781e-01, 1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.49999999999999994, -0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5, 0.49999999999999983, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.49999999999999983, 0.5, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 5.14799994e-17, -6.12323400e-17, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, -6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.23259516e-32, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 5.55111512e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.23259516e-32, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.66533454e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -2.22044605e-16, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.49999999999999994, 0.5000000000000001, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.49999999999999983, 0.5000000000000001, 0.49999999999999994, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.5000000000000001, -0.5, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, 0. ]), array([ 7.07106781e-01, 1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.23259516e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5, -0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.00000000e+00, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.00000000e+00, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5, 0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , 0.70710678, -0. ]), array([ 7.07106781e-01, 1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.5000000000000001, 0.5, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.49999999999999983, 0.5000000000000001, -0.49999999999999994, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.49999999999999994, -0.5000000000000001, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -2.22044605e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.66533454e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 1.23259516e-32, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, -0.00000000e+00, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.74939946e-33, 6.12323400e-17, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 5.55111512e-17, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.23259516e-32, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.36760893e-16, 6.12323400e-17, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, -6.12323400e-17, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.49999999999999983, -0.5, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5, -0.49999999999999983, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.49999999999999994, 0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, 0. ]), array([ -7.07106781e-01, 1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.23259516e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5000000000000001, 0.49999999999999994, 0.49999999999999994, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, -1.00000000e+00, 7.49879891e-33, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, -6.12323400e-17, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.49999999999999994, 0.49999999999999994, -0.5000000000000002, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.07816517e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.49999999999999994, -0.5000000000000002, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.5000000000000001, -0.5, 0.5000000000000001, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.49999999999999983, 0.5000000000000001, 0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.49999999999999994, 0.49999999999999994, -0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 6.49467042e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5000000000000001, -0.5, -0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.4999999999999999, -0.5, 0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.49999999999999994, 0.5, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.94840113e-16, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, 7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.49999999999999983, 0.5000000000000001, -0.49999999999999994, 0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.74018868e-17, 1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5000000000000001, -0.5, -0.49999999999999983, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5, -0.49999999999999983, 0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.49999999999999994, 0.49999999999999994, 0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.5000000000000001, 0.49999999999999994, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5000000000000002, -0.49999999999999983, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, 1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5, -0.49999999999999983, 0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.08244507e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.66533454e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.5000000000000001, 0.4999999999999999, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.49999999999999994, 0.49999999999999994, -0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.5000000000000001, -0.5, -0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.4999999999999999, -0.5, 0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0. , 0. , -0.70710678, -0.70710678]), array([ -4.32978028e-17, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.5, 0.5000000000000001, 0.5, 0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0.70710678, 0. , 0. ]), array([-0.70710678, 0.70710678, -0. , 0. ])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.70710678, 0.70710678, -0. , 0. ]), (-0.7071067811865475, 0.7071067811865476, -0.0, 0.0)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.5, 0.5000000000000001, -0.5, -0.4999999999999999)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0. , 0. , -0.70710678, -0.70710678]), array([ -4.32978028e-17, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.4999999999999999, -0.5, -0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.5000000000000001, -0.5, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.49999999999999994, 0.49999999999999994, 0.5000000000000001, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 2.16489014e-17, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, 7.07106781e-01, 5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.5000000000000001, -0.4999999999999999, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.08244507e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.66533454e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5, -0.49999999999999983, -0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, -1.66533454e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5000000000000002, 0.49999999999999983, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 4.32978028e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), (0.5000000000000001, 0.49999999999999994, 0.49999999999999994, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 1.23259516e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), (0.49999999999999994, 0.49999999999999994, -0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, -0.5]), array([-0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, 0.5]), (-0.5, -0.49999999999999983, -0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, 0.5]), array([-0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, -0.5]), (-0.5000000000000001, -0.5, 0.49999999999999983, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.74018868e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.49999999999999983, 0.5000000000000001, 0.49999999999999994, -0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.94840113e-16, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.66533454e-16, 7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.49999999999999994, -0.5, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -5.55111512e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.4999999999999999, -0.5, -0.5, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.08244507e-16, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -5.55111512e-17, -7.07106781e-01, -5.55111512e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5000000000000001, -0.5, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 6.49467042e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -5.55111512e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.49999999999999994, 0.49999999999999994, 0.5000000000000001, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([-0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, -0.5]), (-0.49999999999999983, 0.5000000000000001, -0.5, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 4.32978028e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), (0.5000000000000001, -0.5, -0.5000000000000001, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, 0.5]), (0.49999999999999994, -0.5000000000000002, 0.49999999999999994, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 3.07816517e-17, 1.29893408e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -1.29893408e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, -0.5]), array([-0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, 0.5]), (-0.49999999999999994, 0.49999999999999994, 0.5000000000000002, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 7.07106781e-01, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.11022302e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , -0. , 0.70710678]), array([ -7.07106781e-01, -2.46519033e-32, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -2.46519033e-32, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, -1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.38777878e-16, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.66533454e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -2.46519033e-32, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, 1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.66533454e-16, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.73191211e-16, 2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -2.46519033e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.49999999999999994, -0.5, -0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5000000000000001, 0.5, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.49999999999999994, 0.5000000000000002, 0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.49999999999999983, 0.5000000000000002, -0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, -1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, -1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -0.00000000e+00, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, 1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5000000000000001, -0.49999999999999983, 0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, 1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.5000000000000002, -0.49999999999999983, 0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.5, 0.49999999999999994, 0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.49999999999999994, -0.49999999999999994, -0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, 0. , -0.70710678, -0. ]), array([ 7.07106781e-01, -2.46519033e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -2.46519033e-32, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.11022302e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.22464680e-16, 1.49975978e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 7.49879891e-33, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, 8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.11022302e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.66533454e-16, 3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 7.49879891e-33, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -8.65956056e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.11022302e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.22464680e-16, -1.49975978e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.70710678, -0. , 0.70710678, 0. ]), array([ 7.07106781e-01, -2.46519033e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -2.46519033e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), (0.5000000000000001, 0.49999999999999994, 0.49999999999999994, 0.5)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([-0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, -0.5, 0.5]), (-0.5, 0.49999999999999994, -0.49999999999999994, 0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, 0.5, 0.5]), array([-0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, -0.5, -0.5]), (-0.5000000000000002, -0.49999999999999983, -0.5000000000000001, -0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, 0.5, -0.5]), (0.49999999999999994, -0.5000000000000001, 0.49999999999999983, -0.5000000000000002)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, 1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.29893408e-16, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.22464680e-16, 1.00000000e+00, 6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00649033e-16, -1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.73191211e-16, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([-0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, 0.5, 0.5, -0.5]), (-0.49999999999999983, 0.5000000000000002, 0.49999999999999994, -0.5000000000000001)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.29893408e-16, 7.07106781e-01, -1.29893408e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, -2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), (0.5000000000000001, 0.49999999999999994, -0.5000000000000002, -0.49999999999999983)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -8.65956056e-17, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, -0.5, -0.5, 0.5]), (0.49999999999999994, -0.5000000000000001, -0.5, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.12481984e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 4.32978028e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -4.32978028e-17, -7.07106781e-01, 4.32978028e-17, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.83697020e-16, 2.24963967e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 0.5, 0.5, -0.5, -0.5]), array([-0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_euler.test_quats(array([-0.5, -0.5, 0.5, 0.5]), (-0.49999999999999994, -0.5, 0.5000000000000001, 0.49999999999999994)) ... ok
> nibabel.tests.test_euler.test_quats(array([[ 3.37445951e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -2.46519033e-32, 7.07106781e-01, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -4.49927935e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.66533454e-16, 1.11022302e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, 1.73191211e-16, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, 1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, 1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, 0.00000000e+00, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -2.46519033e-32, -1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.66533454e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 0.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.38777878e-16, 2.22044605e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -1.73191211e-16, -2.46519033e-32, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.03525129e-16, -1.22464680e-16, -0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ 6.12323400e-17, -1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 7.07106781e-01, -0.00000000e+00, -3.33066907e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([ -7.07106781e-01, -2.46519033e-32, 1.73191211e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ -1.83697020e-16, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_euler.test_quats(array([ 1.00000000e+00, -1.11022302e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_euler.test_quats(array([ -1.00000000e+00, 1.22464680e-16, 1.22464680e-16, ... ok
> nibabel.tests.test_euler.test_quats(array([[ 1.00000000e+00, 2.44929360e-16, -2.44929360e-16], ... ok
> autogenerated test from TestFBImageAPI.validate_filenames ... ok
> autogenerated test from TestFBImageAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestFBImageAPI.validate_header ... ok
> autogenerated test from TestFBImageAPI.validate_header_deprecated ... ok
> autogenerated test from TestFBImageAPI.validate_no_slicing ... ok
> autogenerated test from TestSerializableImageAPI.validate_filenames ... ok
> autogenerated test from TestSerializableImageAPI.validate_from_bytes ... ok
> autogenerated test from TestSerializableImageAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestSerializableImageAPI.validate_header ... ok
> autogenerated test from TestSerializableImageAPI.validate_header_deprecated ... ok
> autogenerated test from TestSerializableImageAPI.validate_no_slicing ... ok
> autogenerated test from TestSerializableImageAPI.validate_to_bytes ... ok
> autogenerated test from TestSerializableImageAPI.validate_to_from_bytes ... ok
> nibabel.tests.test_filebasedimages.test_filebased_header ... ok
> nibabel.tests.test_filehandles.test_multiload ... ok
> nibabel.tests.test_fileholders.test_init ... ok
> nibabel.tests.test_fileholders.test_same_file_as ... ok
> nibabel.tests.test_fileholders.test_file_like ... ok
> nibabel.tests.test_filename_parser.test_filenames ... ok
> nibabel.tests.test_filename_parser.test_parse_filename ... ok
> nibabel.tests.test_filename_parser.test_splitext_addext ... ok
> nibabel.tests.test_files_interface.test_files_spatialimages ... ok
> nibabel.tests.test_files_interface.test_files_interface ... ok
> nibabel.tests.test_files_interface.test_round_trip_spatialimages ... ok
> nibabel.tests.test_fileslice.test_is_fancy ... ok
> nibabel.tests.test_fileslice.test_canonical_slicers ... ok
> nibabel.tests.test_fileslice.test_slice2outax ... ok
> nibabel.tests.test_fileslice.test_slice2len ... ok
> nibabel.tests.test_fileslice.test_fill_slicer ... ok
> nibabel.tests.test_fileslice.test__positive_slice ... ok
> nibabel.tests.test_fileslice.test_threshold_heuristic ... ok
> nibabel.tests.test_fileslice.test_optimize_slicer ... ok
> nibabel.tests.test_fileslice.test_optimize_read_slicers ... ok
> nibabel.tests.test_fileslice.test_slicers2segments ... ok
> nibabel.tests.test_fileslice.test_calc_slicedefs ... ok
> nibabel.tests.test_fileslice.test_predict_shape ... ok
> nibabel.tests.test_fileslice.test_strided_scalar ... ok
> nibabel.tests.test_fileslice.test_read_segments ... ok
> nibabel.tests.test_fileslice.test_read_segments_lock ... ok
> nibabel.tests.test_fileslice.test_fileslice ... ok
> nibabel.tests.test_fileslice.test_fileslice_dtype ... ok
> nibabel.tests.test_fileslice.test_fileslice_errors ... ok
> nibabel.tests.test_fileslice.test_fileslice_heuristic ... ok
> nibabel.tests.test_fileutils.test_read_zt_byte_strings ... ok
> nibabel.tests.test_floating.test_type_info ... ok
> nibabel.tests.test_floating.test_nmant ... ok
> nibabel.tests.test_floating.test_check_nmant_nexp ... /<<PKGBUILDDIR>>/nibabel/casting.py:354: RuntimeWarning: overflow encountered in power
> not np.isfinite(two ** maxexp))
> ok
> nibabel.tests.test_floating.test_as_int ... ok
> nibabel.tests.test_floating.test_int_to_float ... ok
> nibabel.tests.test_floating.test_as_int_np_fix ... ok
> nibabel.tests.test_floating.test_floor_exact_16 ... ok
> nibabel.tests.test_floating.test_floor_exact_64 ... ok
> nibabel.tests.test_floating.test_floor_exact ... ok
> nibabel.tests.test_floating.test_usable_binary128 ... ok
> nibabel.tests.test_funcs.test_concat ... ok
> nibabel.tests.test_funcs.test_closest_canonical ... ok
> nibabel.tests.test_h5py_compat.test_optpkg_equivalence ... ok
> nibabel.tests.test_h5py_compat.test_disabled_h5py_cases ... ok
> autogenerated test from TestAFNIAPI.validate_affine ... ok
> autogenerated test from TestAFNIAPI.validate_affine_deprecated ... ok
> autogenerated test from TestAFNIAPI.validate_data_deprecated ... ok
> autogenerated test from TestAFNIAPI.validate_data_interface ... ok
> autogenerated test from TestAFNIAPI.validate_dtype ... ok
> autogenerated test from TestAFNIAPI.validate_filenames ... SKIP
> autogenerated test from TestAFNIAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestAFNIAPI.validate_header ... ok
> autogenerated test from TestAFNIAPI.validate_header_deprecated ... ok
> autogenerated test from TestAFNIAPI.validate_header_shape ... ok
> autogenerated test from TestAFNIAPI.validate_mmap_parameter ... ok
> autogenerated test from TestAFNIAPI.validate_ndim ... ok
> autogenerated test from TestAFNIAPI.validate_no_slicing ... ok
> autogenerated test from TestAFNIAPI.validate_path_maybe_image ... ok
> autogenerated test from TestAFNIAPI.validate_shape ... ok
> autogenerated test from TestAFNIAPI.validate_shape_deprecated ... ok
> autogenerated test from TestAnalyzeAPI.validate_affine ... ok
> autogenerated test from TestAnalyzeAPI.validate_affine_deprecated ... ok
> autogenerated test from TestAnalyzeAPI.validate_data_deprecated ... ok
> autogenerated test from TestAnalyzeAPI.validate_data_interface ... ok
> autogenerated test from TestAnalyzeAPI.validate_dtype ... ok
> autogenerated test from TestAnalyzeAPI.validate_filenames ... ERROR
> autogenerated test from TestAnalyzeAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestAnalyzeAPI.validate_header ... ok
> autogenerated test from TestAnalyzeAPI.validate_header_deprecated ... ok
> autogenerated test from TestAnalyzeAPI.validate_header_shape ... ok
> autogenerated test from TestAnalyzeAPI.validate_mmap_parameter ... ok
> autogenerated test from TestAnalyzeAPI.validate_ndim ... ok
> autogenerated test from TestAnalyzeAPI.validate_no_slicing ... ok
> autogenerated test from TestAnalyzeAPI.validate_path_maybe_image ... ok
> autogenerated test from TestAnalyzeAPI.validate_shape ... ok
> autogenerated test from TestAnalyzeAPI.validate_shape_deprecated ... ok
> autogenerated test from TestGiftiAPI.validate_affine ... ok
> autogenerated test from TestGiftiAPI.validate_affine_deprecated ... ok
> autogenerated test from TestGiftiAPI.validate_data_deprecated ... ok
> autogenerated test from TestGiftiAPI.validate_data_interface ... ok
> autogenerated test from TestGiftiAPI.validate_dtype ... ok
> autogenerated test from TestGiftiAPI.validate_filenames ... ok
> autogenerated test from TestGiftiAPI.validate_from_bytes ... ok
> autogenerated test from TestGiftiAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestGiftiAPI.validate_header ... ok
> autogenerated test from TestGiftiAPI.validate_header_deprecated ... ok
> autogenerated test from TestGiftiAPI.validate_header_shape ... ok
> autogenerated test from TestGiftiAPI.validate_mmap_parameter ... ok
> autogenerated test from TestGiftiAPI.validate_ndim ... ok
> autogenerated test from TestGiftiAPI.validate_no_slicing ... ok
> autogenerated test from TestGiftiAPI.validate_path_maybe_image ... ok
> autogenerated test from TestGiftiAPI.validate_shape ... ok
> autogenerated test from TestGiftiAPI.validate_shape_deprecated ... ok
> autogenerated test from TestGiftiAPI.validate_to_bytes ... ok
> autogenerated test from TestGiftiAPI.validate_to_from_bytes ... ok
> autogenerated test from TestMGHAPI.validate_affine ... ok
> autogenerated test from TestMGHAPI.validate_affine_deprecated ... ok
> autogenerated test from TestMGHAPI.validate_data_deprecated ... ok
> autogenerated test from TestMGHAPI.validate_data_interface ... ok
> autogenerated test from TestMGHAPI.validate_dtype ... ok
> autogenerated test from TestMGHAPI.validate_filenames ... ERROR
> autogenerated test from TestMGHAPI.validate_from_bytes ... ok
> autogenerated test from TestMGHAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestMGHAPI.validate_header ... ok
> autogenerated test from TestMGHAPI.validate_header_deprecated ... ok
> autogenerated test from TestMGHAPI.validate_header_shape ... ok
> autogenerated test from TestMGHAPI.validate_mmap_parameter ... ok
> autogenerated test from TestMGHAPI.validate_ndim ... ok
> autogenerated test from TestMGHAPI.validate_no_slicing ... ok
> autogenerated test from TestMGHAPI.validate_path_maybe_image ... ok
> autogenerated test from TestMGHAPI.validate_shape ... ok
> autogenerated test from TestMGHAPI.validate_shape_deprecated ... ok
> autogenerated test from TestMGHAPI.validate_to_bytes ... ok
> autogenerated test from TestMGHAPI.validate_to_from_bytes ... ok
> autogenerated test from TestMinc1API.validate_affine ... ok
> autogenerated test from TestMinc1API.validate_affine_deprecated ... ok
> autogenerated test from TestMinc1API.validate_data_deprecated ... ok
> autogenerated test from TestMinc1API.validate_data_interface ... ok
> autogenerated test from TestMinc1API.validate_dtype ... ok
> autogenerated test from TestMinc1API.validate_filenames ... SKIP
> autogenerated test from TestMinc1API.validate_get_data_deprecated ... ok
> autogenerated test from TestMinc1API.validate_header ... ok
> autogenerated test from TestMinc1API.validate_header_deprecated ... ok
> autogenerated test from TestMinc1API.validate_header_shape ... ok
> autogenerated test from TestMinc1API.validate_mmap_parameter ... ok
> autogenerated test from TestMinc1API.validate_ndim ... ok
> autogenerated test from TestMinc1API.validate_no_slicing ... ok
> autogenerated test from TestMinc1API.validate_path_maybe_image ... ok
> autogenerated test from TestMinc1API.validate_shape ... ok
> autogenerated test from TestMinc1API.validate_shape_deprecated ... ok
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> Failure: SkipTest (Need h5py for these tests) ... SKIP: Need h5py for these tests
> autogenerated test from TestNifti1API.validate_affine ... ok
> autogenerated test from TestNifti1API.validate_affine_deprecated ... ok
> autogenerated test from TestNifti1API.validate_data_deprecated ... ok
> autogenerated test from TestNifti1API.validate_data_interface ... ok
> autogenerated test from TestNifti1API.validate_dtype ... ok
> autogenerated test from TestNifti1API.validate_filenames ... ERROR
> autogenerated test from TestNifti1API.validate_from_bytes ... ok
> autogenerated test from TestNifti1API.validate_get_data_deprecated ... ok
> autogenerated test from TestNifti1API.validate_header ... ok
> autogenerated test from TestNifti1API.validate_header_deprecated ... ok
> autogenerated test from TestNifti1API.validate_header_shape ... ok
> autogenerated test from TestNifti1API.validate_mmap_parameter ... ok
> autogenerated test from TestNifti1API.validate_ndim ... ok
> autogenerated test from TestNifti1API.validate_no_slicing ... ok
> autogenerated test from TestNifti1API.validate_path_maybe_image ... ok
> autogenerated test from TestNifti1API.validate_shape ... ok
> autogenerated test from TestNifti1API.validate_shape_deprecated ... ok
> autogenerated test from TestNifti1API.validate_to_bytes ... ok
> autogenerated test from TestNifti1API.validate_to_from_bytes ... ok
> autogenerated test from TestNifti1PairAPI.validate_affine ... ok
> autogenerated test from TestNifti1PairAPI.validate_affine_deprecated ... ok
> autogenerated test from TestNifti1PairAPI.validate_data_deprecated ... ok
> autogenerated test from TestNifti1PairAPI.validate_data_interface ... ok
> autogenerated test from TestNifti1PairAPI.validate_dtype ... ok
> autogenerated test from TestNifti1PairAPI.validate_filenames ... ERROR
> autogenerated test from TestNifti1PairAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestNifti1PairAPI.validate_header ... ok
> autogenerated test from TestNifti1PairAPI.validate_header_deprecated ... ok
> autogenerated test from TestNifti1PairAPI.validate_header_shape ... ok
> autogenerated test from TestNifti1PairAPI.validate_mmap_parameter ... ok
> autogenerated test from TestNifti1PairAPI.validate_ndim ... ok
> autogenerated test from TestNifti1PairAPI.validate_no_slicing ... ok
> autogenerated test from TestNifti1PairAPI.validate_path_maybe_image ... ok
> autogenerated test from TestNifti1PairAPI.validate_shape ... ok
> autogenerated test from TestNifti1PairAPI.validate_shape_deprecated ... ok
> autogenerated test from TestNifti2API.validate_affine ... ok
> autogenerated test from TestNifti2API.validate_affine_deprecated ... ok
> autogenerated test from TestNifti2API.validate_data_deprecated ... ok
> autogenerated test from TestNifti2API.validate_data_interface ... ok
> autogenerated test from TestNifti2API.validate_dtype ... ok
> autogenerated test from TestNifti2API.validate_filenames ... ERROR
> autogenerated test from TestNifti2API.validate_from_bytes ... ok
> autogenerated test from TestNifti2API.validate_get_data_deprecated ... ok
> autogenerated test from TestNifti2API.validate_header ... ok
> autogenerated test from TestNifti2API.validate_header_deprecated ... ok
> autogenerated test from TestNifti2API.validate_header_shape ... ok
> autogenerated test from TestNifti2API.validate_mmap_parameter ... ok
> autogenerated test from TestNifti2API.validate_ndim ... ok
> autogenerated test from TestNifti2API.validate_no_slicing ... ok
> autogenerated test from TestNifti2API.validate_path_maybe_image ... ok
> autogenerated test from TestNifti2API.validate_shape ... ok
> autogenerated test from TestNifti2API.validate_shape_deprecated ... ok
> autogenerated test from TestNifti2API.validate_to_bytes ... ok
> autogenerated test from TestNifti2API.validate_to_from_bytes ... ok
> autogenerated test from TestNifti2PairAPI.validate_affine ... ok
> autogenerated test from TestNifti2PairAPI.validate_affine_deprecated ... ok
> autogenerated test from TestNifti2PairAPI.validate_data_deprecated ... ok
> autogenerated test from TestNifti2PairAPI.validate_data_interface ... ok
> autogenerated test from TestNifti2PairAPI.validate_dtype ... ok
> autogenerated test from TestNifti2PairAPI.validate_filenames ... ERROR
> autogenerated test from TestNifti2PairAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestNifti2PairAPI.validate_header ... ok
> autogenerated test from TestNifti2PairAPI.validate_header_deprecated ... ok
> autogenerated test from TestNifti2PairAPI.validate_header_shape ... ok
> autogenerated test from TestNifti2PairAPI.validate_mmap_parameter ... ok
> autogenerated test from TestNifti2PairAPI.validate_ndim ... ok
> autogenerated test from TestNifti2PairAPI.validate_no_slicing ... ok
> autogenerated test from TestNifti2PairAPI.validate_path_maybe_image ... ok
> autogenerated test from TestNifti2PairAPI.validate_shape ... ok
> autogenerated test from TestNifti2PairAPI.validate_shape_deprecated ... ok
> autogenerated test from TestPARRECAPI.validate_affine ... ok
> autogenerated test from TestPARRECAPI.validate_affine_deprecated ... ok
> autogenerated test from TestPARRECAPI.validate_data_deprecated ... ok
> autogenerated test from TestPARRECAPI.validate_data_interface ... ok
> autogenerated test from TestPARRECAPI.validate_dtype ... ok
> autogenerated test from TestPARRECAPI.validate_filenames ... SKIP
> autogenerated test from TestPARRECAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestPARRECAPI.validate_header ... ok
> autogenerated test from TestPARRECAPI.validate_header_deprecated ... ok
> autogenerated test from TestPARRECAPI.validate_header_shape ... ok
> autogenerated test from TestPARRECAPI.validate_mmap_parameter ... ok
> autogenerated test from TestPARRECAPI.validate_ndim ... ok
> autogenerated test from TestPARRECAPI.validate_no_slicing ... ok
> autogenerated test from TestPARRECAPI.validate_path_maybe_image ... ok
> autogenerated test from TestPARRECAPI.validate_shape ... ok
> autogenerated test from TestPARRECAPI.validate_shape_deprecated ... ok
> autogenerated test from TestSpatialImageAPI.validate_affine ... ok
> autogenerated test from TestSpatialImageAPI.validate_affine_deprecated ... ok
> autogenerated test from TestSpatialImageAPI.validate_data_deprecated ... ok
> autogenerated test from TestSpatialImageAPI.validate_data_interface ... ok
> autogenerated test from TestSpatialImageAPI.validate_dtype ... ok
> autogenerated test from TestSpatialImageAPI.validate_filenames ... SKIP
> autogenerated test from TestSpatialImageAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestSpatialImageAPI.validate_header ... ok
> autogenerated test from TestSpatialImageAPI.validate_header_deprecated ... ok
> autogenerated test from TestSpatialImageAPI.validate_header_shape ... ok
> autogenerated test from TestSpatialImageAPI.validate_mmap_parameter ... ok
> autogenerated test from TestSpatialImageAPI.validate_ndim ... ok
> autogenerated test from TestSpatialImageAPI.validate_no_slicing ... ok
> autogenerated test from TestSpatialImageAPI.validate_path_maybe_image ... ok
> autogenerated test from TestSpatialImageAPI.validate_shape ... ok
> autogenerated test from TestSpatialImageAPI.validate_shape_deprecated ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_affine ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_affine_deprecated ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_data_deprecated ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_data_interface ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_dtype ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_filenames ... ERROR
> autogenerated test from TestSpm2AnalyzeAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_header ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_header_deprecated ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_header_shape ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_mmap_parameter ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_ndim ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_no_slicing ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_path_maybe_image ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_shape ... ok
> autogenerated test from TestSpm2AnalyzeAPI.validate_shape_deprecated ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_affine ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_affine_deprecated ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_data_deprecated ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_data_interface ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_dtype ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_filenames ... ERROR
> autogenerated test from TestSpm99AnalyzeAPI.validate_get_data_deprecated ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_header ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_header_deprecated ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_header_shape ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_mmap_parameter ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_ndim ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_no_slicing ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_path_maybe_image ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_shape ... ok
> autogenerated test from TestSpm99AnalyzeAPI.validate_shape_deprecated ... ok
> nibabel.tests.test_image_load_save.test_conversion_spatialimages ... ok
> nibabel.tests.test_image_load_save.test_save_load_endian ... ok
> nibabel.tests.test_image_load_save.test_save_load ... ok
> nibabel.tests.test_image_load_save.test_two_to_one ... ok
> nibabel.tests.test_image_load_save.test_negative_load_save ... ok
> nibabel.tests.test_image_load_save.test_filename_save ... ok
> nibabel.tests.test_image_load_save.test_analyze_detection ... ok
> nibabel.tests.test_image_load_save.test_guessed_image_type ... ok
> nibabel.tests.test_image_load_save.test_fail_save ... ok
> nibabel.tests.test_image_types.test_sniff_and_guessed_image_type ... ok
> Re-test image classes, but in a randomized order. ... ok
> nibabel.tests.test_imageclasses.test_spatial_axes_first ... ok
> nibabel.tests.test_imageclasses.test_deprecations ... ok
> nibabel.tests.test_imageglobals.test_errorlevel ... ok
> nibabel.tests.test_keywordonly.test_kw_only_func ... ok
> nibabel.tests.test_loadsave.test_read_img_data ... ok
> nibabel.tests.test_loadsave.test_file_not_found ... ok
> nibabel.tests.test_loadsave.test_load_empty_image ... ok
> nibabel.tests.test_loadsave.test_read_img_data_nifti ... ok
> nibabel.tests.test_minc1.TestMinc1File.test_array_proxy_slicing ... ok
> nibabel.tests.test_minc1.TestMinc1File.test_compressed ... ok
> nibabel.tests.test_minc1.TestMinc1File.test_load ... ok
> nibabel.tests.test_minc1.TestMinc1File.test_mincfile ... /<<PKGBUILDDIR>>/nibabel/externals/netcdf.py:320: RuntimeWarning: Cannot close a netcdf_file opened with mmap=True, when netcdf_variables or arrays referring to its data still exist. All data arrays obtained from such files refer directly to data on disk, and must be copied before the file can be cleanly closed. (See netcdf_file docstring for more information on mmap.)
> warnings.warn((
> ok
> nibabel.tests.test_minc1.TestMinc1File.test_mincfile_slicing ... ok
> test_api_deprecations (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_data_api (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_data_default (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_data_shape (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_data_to_from_fileobj (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_default_header (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_float_affine (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_get_data (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_get_fdata (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_get_shape (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_images (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_isolation (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> test_slicer (nibabel.tests.test_minc1.TestMinc1Image) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_str (nibabel.tests.test_minc1.TestMinc1Image) ... ok
> nibabel.tests.test_minc1.test_old_namespace ... ok
> nibabel.tests.test_minc1.test_header_data_io ... ok
> SKIP: No h5py for these tests
> nibabel.tests.test_mriutils.test_calculate_dwell_time ... ok
> nibabel.tests.test_nibabel_data.test_get_nibabel_data ... ok
> nibabel.tests.test_nifti1.TestNifti1General.test_float_int_min_max ... ok
> nibabel.tests.test_nifti1.TestNifti1General.test_float_int_spread ... ok
> nibabel.tests.test_nifti1.TestNifti1General.test_load ... ok
> nibabel.tests.test_nifti1.TestNifti1General.test_loadsave_cycle ... ok
> nibabel.tests.test_nifti1.TestNifti1General.test_reoriented_dim_info ... ok
> nibabel.tests.test_nifti1.TestNifti1General.test_rt_bias ... ok
> test_affine_44 (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_affines_init (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_api_deprecations (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_big_offset_exts (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_data_api (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_data_default (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_data_hdr_cache (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_data_shape (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_default_header (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_float_affine (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_get_data (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_get_fdata (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_get_shape (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_hdr_diff (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_header_scaling (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_header_update_affine (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_header_updating (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_images (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_int_int_scaling (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_isolation (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_load_mmap (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_load_pixdims (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_load_save (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_no_finite_values (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_no_scaling (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_none_qsform (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_offset_errors (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_offset_to_zero (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_pickle (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_qform_cycle (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_read_no_extensions (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_set_qform (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_set_sform (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_slicer (nibabel.tests.test_nifti1.TestNifti1Image) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_sqform_code_type (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_str (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_supported_types (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_write_scaling (nibabel.tests.test_nifti1.TestNifti1Image) ... ok
> test_affine_44 (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_affines_init (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_api_deprecations (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_big_offset_exts (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_data_api (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_data_default (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_data_hdr_cache (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_data_shape (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_default_header (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_float_affine (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_get_data (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_get_fdata (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_get_shape (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_hdr_diff (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_header_scaling (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_header_update_affine (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_header_updating (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_images (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_int_int_scaling (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_isolation (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_load_mmap (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_load_pixdims (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_load_save (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_no_finite_values (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_no_scaling (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_none_qsform (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_offset_to_zero (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_pickle (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_qform_cycle (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_read_no_extensions (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_set_qform (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_set_sform (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_slicer (nibabel.tests.test_nifti1.TestNifti1Pair) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_sqform_code_type (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_str (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_supported_types (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test_write_scaling (nibabel.tests.test_nifti1.TestNifti1Pair) ... ok
> test__eq__ (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_base_affine (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_big_scaling (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_bytes (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_data_dtype (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_data_scaling (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_datatype (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_datatypes (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_default_x_flip (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_dim_info (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_empty (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_empty_check (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_endian_guess (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_freesurfer_ico7_hack (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... SKIP: Skipping test: test_freesurfer_ico7_hack: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-freesurfer for these tests
> test_freesurfer_large_vector_hack (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_from_analyze_map (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_from_eg_file (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_from_header (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_general_init (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_get_value_label (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_header_size (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_intents (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_log_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_logger_error (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_magic_offset_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_mappingness (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_nifti_qfac_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_nifti_qsform_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_nifti_xform_codes (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_offset (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_orientation (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_qform (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_qform_sform (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_quaternion (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_read_write_data (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_recoded_fields (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_scaling (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_set_slice_times (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_sform (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_shapes (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_slice_times (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_str (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_structarr (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_supported_types (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test_xyzt_units (nibabel.tests.test_nifti1.TestNifti1PairHeader) ... ok
> test__eq__ (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_base_affine (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_big_scaling (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_bytes (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_data_dtype (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_data_scaling (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_datatype (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_datatypes (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_default_x_flip (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_dim_info (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_empty (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_empty_check (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_endian_guess (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_float128 (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_freesurfer_ico7_hack (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... SKIP: Skipping test: test_freesurfer_ico7_hack: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-freesurfer for these tests
> test_freesurfer_large_vector_hack (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_from_analyze_map (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_from_eg_file (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_from_header (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_general_init (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_get_value_label (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_header_size (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_intents (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_log_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_logger_error (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_magic_offset_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_mappingness (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_nifti_qfac_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_nifti_qsform_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_nifti_xform_codes (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_offset (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_orientation (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_qform (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_qform_sform (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_quaternion (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_read_write_data (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_recoded_fields (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_scaling (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_set_slice_times (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_sform (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_shapes (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_slice_times (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_str (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_structarr (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_supported_types (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> test_xyzt_units (nibabel.tests.test_nifti1.TestNifti1SingleHeader) ... ok
> nibabel.tests.test_nifti1.test_extension_basics ... ok
> nibabel.tests.test_nifti1.test_ext_eq ... ok
> nibabel.tests.test_nifti1.test_extension_codes ... ok
> nibabel.tests.test_nifti1.test_extension_list ... ok
> nibabel.tests.test_nifti1.test_extension_io ... ok
> nibabel.tests.test_nifti1.test_nifti_extensions ... ok
> nibabel.tests.test_nifti1.test_nifti_dicom_extension ... SKIP: Skipping test: test_nifti_dicom_extension: could not import dicom or pydicom
> nibabel.tests.test_nifti1.test_large_nifti1 ... SKIP: Skipping test: test_large_nifti1: Skip slow tests.
> nibabel.tests.test_nifti2.TestNifti1General.test_float_int_min_max ... ok
> nibabel.tests.test_nifti2.TestNifti1General.test_float_int_spread ... ok
> nibabel.tests.test_nifti2.TestNifti1General.test_load ... ok
> nibabel.tests.test_nifti2.TestNifti1General.test_loadsave_cycle ... ok
> nibabel.tests.test_nifti2.TestNifti1General.test_reoriented_dim_info ... ok
> nibabel.tests.test_nifti2.TestNifti1General.test_rt_bias ... ok
> test_affine_44 (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_affines_init (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_api_deprecations (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_big_offset_exts (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_data_api (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_data_default (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_data_hdr_cache (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_data_shape (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_default_header (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_float_affine (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_get_data (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_get_fdata (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_get_shape (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_hdr_diff (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_header_scaling (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_header_update_affine (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_header_updating (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_images (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_int_int_scaling (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_isolation (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_load_mmap (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_load_pixdims (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_load_save (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_no_finite_values (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_no_scaling (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_none_qsform (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_offset_errors (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_offset_to_zero (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_pickle (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_qform_cycle (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_read_no_extensions (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_set_qform (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_set_sform (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_slicer (nibabel.tests.test_nifti2.TestNifti1Image) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_sqform_code_type (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_write_scaling (nibabel.tests.test_nifti2.TestNifti1Image) ... ok
> test_affine_44 (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_affines_init (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_api_deprecations (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_big_offset_exts (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_data_api (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_data_default (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_data_hdr_cache (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_data_shape (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_default_header (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_float_affine (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_get_data (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_get_fdata (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_get_shape (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_hdr_diff (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_header_scaling (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_header_update_affine (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_header_updating (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_images (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_int_int_scaling (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_isolation (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_load_mmap (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_load_pixdims (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_load_save (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_no_finite_values (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_no_scaling (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_none_qsform (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_offset_to_zero (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_pickle (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_qform_cycle (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_read_no_extensions (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_set_qform (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_set_sform (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_slicer (nibabel.tests.test_nifti2.TestNifti1Pair) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_sqform_code_type (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test_write_scaling (nibabel.tests.test_nifti2.TestNifti1Pair) ... ok
> test__eq__ (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_base_affine (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_big_scaling (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_bytes (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_data_dtype (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_data_scaling (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_datatype (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_datatypes (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_default_x_flip (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_dim_info (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_empty (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_empty_check (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_endian_guess (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_freesurfer_ico7_hack (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... SKIP: Skipping test: test_freesurfer_ico7_hack: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-freesurfer for these tests
> test_freesurfer_large_vector_hack (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_from_analyze_map (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_from_eg_file (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_from_header (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_general_init (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_get_value_label (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_header_size (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_intents (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_log_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_logger_error (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_magic_offset_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_mappingness (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_nifti_qfac_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_nifti_qsform_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_nifti_xform_codes (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_offset (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_orientation (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_qform (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_qform_sform (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_quaternion (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_read_write_data (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_recoded_fields (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_scaling (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_set_slice_times (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_sform (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_shapes (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_slice_times (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_structarr (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test_xyzt_units (nibabel.tests.test_nifti2.TestNifti1PairHeader) ... ok
> test__eq__ (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_base_affine (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_big_scaling (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_bytes (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_data_dtype (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_data_scaling (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_datatype (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_datatypes (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_default_x_flip (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_dim_info (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_empty (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_empty_check (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_endian_guess (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_float128 (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_freesurfer_ico7_hack (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... SKIP: Skipping test: test_freesurfer_ico7_hack: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-freesurfer for these tests
> test_freesurfer_large_vector_hack (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_from_analyze_map (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_from_eg_file (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_from_header (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_general_init (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_get_value_label (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_header_size (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_intents (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_log_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_logger_error (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_magic_offset_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_mappingness (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_nifti_qfac_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_nifti_qsform_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_nifti_xform_codes (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_offset (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_orientation (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_qform (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_qform_sform (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_quaternion (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_read_write_data (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_recoded_fields (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_scaling (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_set_slice_times (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_sform (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_shapes (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_slice_times (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_structarr (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> test_xyzt_units (nibabel.tests.test_nifti2.TestNifti1SingleHeader) ... ok
> nibabel.tests.test_nifti2.TestNifti2General.test_float_int_min_max ... ok
> nibabel.tests.test_nifti2.TestNifti2General.test_float_int_spread ... ok
> nibabel.tests.test_nifti2.TestNifti2General.test_load ... ok
> nibabel.tests.test_nifti2.TestNifti2General.test_loadsave_cycle ... ok
> nibabel.tests.test_nifti2.TestNifti2General.test_reoriented_dim_info ... ok
> nibabel.tests.test_nifti2.TestNifti2General.test_rt_bias ... ok
> test_affine_44 (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_affines_init (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_api_deprecations (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_big_offset_exts (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_data_api (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_data_default (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_data_hdr_cache (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_data_shape (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_default_header (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_float_affine (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_get_data (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_get_fdata (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_get_shape (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_hdr_diff (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_header_scaling (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_header_update_affine (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_header_updating (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_images (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_int_int_scaling (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_isolation (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_load_mmap (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_load_pixdims (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_load_save (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_no_finite_values (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_no_scaling (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_none_qsform (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_offset_errors (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_offset_to_zero (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_pickle (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_qform_cycle (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_read_no_extensions (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_set_qform (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_set_sform (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_slicer (nibabel.tests.test_nifti2.TestNifti2Image) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_sqform_code_type (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_write_scaling (nibabel.tests.test_nifti2.TestNifti2Image) ... ok
> test_affine_44 (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_affines_init (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_api_deprecations (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_big_offset_exts (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_data_api (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_data_default (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_data_hdr_cache (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_data_shape (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_default_header (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_float_affine (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_get_data (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_get_fdata (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_get_shape (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_hdr_diff (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_header_scaling (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_header_update_affine (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_header_updating (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_images (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_int_int_scaling (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_isolation (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_load_mmap (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_load_pixdims (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_load_save (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_no_finite_values (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_no_scaling (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_none_qsform (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_offset_to_zero (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_pickle (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_qform_cycle (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_read_no_extensions (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_set_qform (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_set_sform (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_slicer (nibabel.tests.test_nifti2.TestNifti2Pair) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_sqform_code_type (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test_write_scaling (nibabel.tests.test_nifti2.TestNifti2Pair) ... ok
> test__eq__ (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_base_affine (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_big_scaling (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_bytes (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_data_dtype (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_data_scaling (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_datatype (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_datatypes (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_default_x_flip (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_dim_info (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_empty (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_empty_check (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_endian_guess (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_eol_check (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_freesurfer_ico7_hack (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_freesurfer_large_vector_hack (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_from_analyze_map (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_from_eg_file (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_from_header (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_general_init (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_get_value_label (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_header_size (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_intents (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_log_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_logger_error (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_magic_offset_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_mappingness (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_nifti_qfac_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_nifti_qsform_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_nifti_xform_codes (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_offset (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_orientation (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_qform (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_qform_sform (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_quaternion (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_read_write_data (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_recoded_fields (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_scaling (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_set_slice_times (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_sform (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_shapes (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_slice_times (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_structarr (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test_xyzt_units (nibabel.tests.test_nifti2.TestNifti2PairHeader) ... ok
> test__eq__ (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_base_affine (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_big_scaling (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_bytes (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_data_dtype (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_data_scaling (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_datatype (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_datatypes (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_default_x_flip (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_dim_info (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_empty (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_empty_check (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_endian_guess (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_eol_check (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_float128 (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_freesurfer_ico7_hack (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_freesurfer_large_vector_hack (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_from_analyze_map (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_from_eg_file (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_from_header (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_general_init (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_get_value_label (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_header_size (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_intents (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_log_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_logger_error (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_magic_offset_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_mappingness (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_nifti_qfac_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_nifti_qsform_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_nifti_xform_codes (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_offset (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_orientation (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_qform (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_qform_sform (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_quaternion (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_read_write_data (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_recoded_fields (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_scaling (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_set_slice_times (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_sform (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_shapes (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_slice_times (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... /<<PKGBUILDDIR>>/nibabel/nifti1.py:1588: UserWarning: Multiple slice orders satisfy: sequential increasing, alternating increasing, alternating decreasing 2. Choosing the first one
> warnings.warn(
> ok
> test_slope_inter (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_str (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_structarr (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_supported_types (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> test_xyzt_units (nibabel.tests.test_nifti2.TestNifti2SingleHeader) ... ok
> nibabel.tests.test_nifti2.test_nifti12_conversion ... ok
> nibabel.tests.test_openers.TestImageOpener.test_new_association ... ok
> nibabel.tests.test_openers.TestImageOpener.test_vanilla ... ok
> nibabel.tests.test_openers.test_Opener ... ok
> nibabel.tests.test_openers.test_Opener_various ... ok
> nibabel.tests.test_openers.test_BinOpener ... ok
> nibabel.tests.test_openers.test_Opener_gzip_type ... ok
> nibabel.tests.test_openers.test_file_like_wrapper ... ok
> nibabel.tests.test_openers.test_compressionlevel ... ok
> nibabel.tests.test_openers.test_compressed_ext_case ... ok
> nibabel.tests.test_openers.test_name ... ok
> nibabel.tests.test_openers.test_set_extensions ... ok
> nibabel.tests.test_openers.test_close_if_mine ... ok
> nibabel.tests.test_openers.test_iter ... ok
> nibabel.tests.test_optpkg.test_basic ... ok
> nibabel.tests.test_optpkg.test_versions ... ok
> nibabel.tests.test_orientations.test_apply ... ok
> nibabel.tests.test_orientations.test_flip_axis ... ok
> nibabel.tests.test_orientations.test_io_orientation ... ok
> nibabel.tests.test_orientations.test_ornt_transform ... ok
> nibabel.tests.test_orientations.test_ornt2axcodes ... ok
> nibabel.tests.test_orientations.test_axcodes2ornt ... ok
> nibabel.tests.test_orientations.test_aff2axcodes ... ok
> nibabel.tests.test_orientations.test_inv_ornt_aff ... ok
> nibabel.tests.test_orientations.test_orientation_affine_deprecation ... ok
> nibabel.tests.test_parrec.TestPARRECImage.test_load_mmap ... ok
> nibabel.tests.test_parrec.test_top_level_load ... ok
> nibabel.tests.test_parrec.test_header ... ok
> nibabel.tests.test_parrec.test_header_scaling ... ok
> nibabel.tests.test_parrec.test_header_volume_labels ... ok
> nibabel.tests.test_parrec.test_orientation ... ok
> nibabel.tests.test_parrec.test_data_offset ... ok
> nibabel.tests.test_parrec.test_affine ... ok
> nibabel.tests.test_parrec.test_affine_regression ... ok
> nibabel.tests.test_parrec.test_get_voxel_size_deprecated ... ok
> nibabel.tests.test_parrec.test_get_sorted_slice_indices ... ok
> nibabel.tests.test_parrec.test_sorting_dual_echo_T1 ... ok
> nibabel.tests.test_parrec.test_sorting_multiple_echos_and_contrasts ... ok
> nibabel.tests.test_parrec.test_sorting_multiecho_ASL ... ok
> nibabel.tests.test_parrec.test_vol_number ... ok
> nibabel.tests.test_parrec.test_vol_is_full ... ok
> nibabel.tests.test_parrec.test_truncated_load ... ok
> nibabel.tests.test_parrec.test_vol_calculations ... ok
> nibabel.tests.test_parrec.test_diffusion_parameters ... ok
> nibabel.tests.test_parrec.test_diffusion_parameters_strict_sort ... ok
> nibabel.tests.test_parrec.test_diffusion_parameters_v4 ... ok
> nibabel.tests.test_parrec.test_null_diffusion_params ... ok
> nibabel.tests.test_parrec.test_epi_params ... ok
> nibabel.tests.test_parrec.test_truncations ... ok
> nibabel.tests.test_parrec.test__get_uniqe_image_defs ... ok
> nibabel.tests.test_parrec.test_copy_on_init ... ok
> nibabel.tests.test_parrec.test_header_copy ... /<<PKGBUILDDIR>>/nibabel/parrec.py:454: UserWarning: Header inconsistency: Found 3 dynamic scan values, but expected 4
> warnings.warn(msg)
> ok
> nibabel.tests.test_parrec.test_image_creation ... ok
> nibabel.tests.test_parrec.test_parrec_proxy ... ok
> nibabel.tests.test_parrec.test_bitpix ... ok
> nibabel.tests.test_parrec.test_varying_scaling ... ok
> nibabel.tests.test_parrec.test_anonymized ... ok
> nibabel.tests.test_parrec.test_exts2par ... ok
> nibabel.tests.test_parrec.test_dualTR ... ok
> nibabel.tests.test_parrec.test_ADC_map ... ok
> nibabel.tests.test_parrec.test_alternative_header_field_names ... ok
> nibabel.tests.test_parrec_data.test_loading ... SKIP: Skipping test: test_loading: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-balls1 for these tests
> nibabel.tests.test_parrec_data.test_fieldmap ... SKIP: Skipping test: test_fieldmap: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-balls1 for these tests
> nibabel.tests.test_parrec_data.test_oblique_loading ... SKIP: Skipping test: test_oblique_loading: Need files in /<<PKGBUILDDIR>>/nibabel-data/parrec_oblique for these tests
> Smoke test nibabel.get_info() ... ok
> nibabel.tests.test_pkg_info.test_version ... ok
> Test fallback version is up-to-date ... ok
> nibabel.tests.test_pkg_info.test_cmp_pkg_version ... ok
> nibabel.tests.test_processing.test_sigma2fwhm ... ok
> nibabel.tests.test_processing.test_adapt_affine ... ok
> nibabel.tests.test_processing.test_resample_from_to ... /usr/lib/python3/dist-packages/scipy/ndimage/interpolation.py:477: UserWarning: The behaviour of affine_transform with a one-dimensional array supplied for the matrix parameter has changed in scipy 0.18.0.
> warnings.warn(
> ok
> nibabel.tests.test_processing.test_resample_to_output ... ok
> nibabel.tests.test_processing.test_smooth_image ... /<<PKGBUILDDIR>>/nibabel/processing.py:305: RuntimeWarning: invalid value encountered in true_divide
> vox_fwhm = fwhm / vox
> ok
> nibabel.tests.test_processing.test_spatial_axes_check ... ok
> nibabel.tests.test_processing.test_against_spm_resample ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_asarray ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_deprecated_header ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_dtype ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_header_isolated ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_is_proxy ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_ndim ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_proxy_slicing ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_shape ... ok
> autogenerated test from TestAnalyzeProxyAPI.validate_slope_inter_offset ... ok
> autogenerated test from TestEcatAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestEcatAPI.validate_asarray ... ok
> autogenerated test from TestEcatAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestEcatAPI.validate_header_isolated ... SKIP: ECAT header does not support dtype get
> autogenerated test from TestEcatAPI.validate_is_proxy ... ok
> autogenerated test from TestEcatAPI.validate_ndim ... ok
> autogenerated test from TestEcatAPI.validate_proxy_slicing ... ok
> autogenerated test from TestEcatAPI.validate_shape ... ok
> autogenerated test from TestMGHAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestMGHAPI.validate_asarray ... ok
> autogenerated test from TestMGHAPI.validate_deprecated_header ... ok
> autogenerated test from TestMGHAPI.validate_dtype ... ok
> autogenerated test from TestMGHAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestMGHAPI.validate_header_isolated ... ok
> autogenerated test from TestMGHAPI.validate_is_proxy ... ok
> autogenerated test from TestMGHAPI.validate_ndim ... ok
> autogenerated test from TestMGHAPI.validate_proxy_slicing ... ok
> autogenerated test from TestMGHAPI.validate_shape ... ok
> autogenerated test from TestMGHAPI.validate_slope_inter_offset ... ok
> autogenerated test from TestMinc1API.validate_array_interface_with_dtype ... /<<PKGBUILDDIR>>/nibabel/externals/netcdf.py:320: RuntimeWarning: Cannot close a netcdf_file opened with mmap=True, when netcdf_variables or arrays referring to its data still exist. All data arrays obtained from such files refer directly to data on disk, and must be copied before the file can be cleanly closed. (See netcdf_file docstring for more information on mmap.)
> warnings.warn((
> ok
> autogenerated test from TestMinc1API.validate_asarray ... ok
> autogenerated test from TestMinc1API.validate_fileobj_isolated ... ok
> autogenerated test from TestMinc1API.validate_header_isolated ... ok
> autogenerated test from TestMinc1API.validate_is_proxy ... ok
> autogenerated test from TestMinc1API.validate_ndim ... ok
> autogenerated test from TestMinc1API.validate_proxy_slicing ... ok
> autogenerated test from TestMinc1API.validate_shape ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_asarray ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_deprecated_header ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_dtype ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_header_isolated ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_is_proxy ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_ndim ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_proxy_slicing ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_shape ... ok
> autogenerated test from TestNifti1ProxyAPI.validate_slope_inter_offset ... ok
> autogenerated test from TestPARRECAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestPARRECAPI.validate_asarray ... ok
> autogenerated test from TestPARRECAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestPARRECAPI.validate_header_isolated ... ok
> autogenerated test from TestPARRECAPI.validate_is_proxy ... ok
> autogenerated test from TestPARRECAPI.validate_ndim ... ok
> autogenerated test from TestPARRECAPI.validate_proxy_slicing ... ok
> autogenerated test from TestPARRECAPI.validate_shape ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_asarray ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_deprecated_header ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_dtype ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_header_isolated ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_is_proxy ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_ndim ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_proxy_slicing ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_shape ... ok
> autogenerated test from TestSpm2AnalyzeProxyAPI.validate_slope_inter_offset ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_array_interface_with_dtype ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_asarray ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_deprecated_header ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_dtype ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_fileobj_isolated ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_header_isolated ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_is_proxy ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_ndim ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_proxy_slicing ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_shape ... ok
> autogenerated test from TestSpm99AnalyzeProxyAPI.validate_slope_inter_offset ... ok
> nibabel.tests.test_quaternions.test_fillpos(True,) ... ok
> nibabel.tests.test_quaternions.test_fillpos(True,) ... ok
> nibabel.tests.test_quaternions.test_fillpos(<class 'ValueError'>, <function fillpositive at 0x7f4f101551f0>, [0, 0]) ... ok
> nibabel.tests.test_quaternions.test_fillpos(<class 'ValueError'>, <function fillpositive at 0x7f4f101551f0>, [0, 0, 0, 0]) ... ok
> nibabel.tests.test_quaternions.test_fillpos(<class 'ValueError'>, <function fillpositive at 0x7f4f101551f0>, [1.0, 1.0, 1.0]) ... ok
> nibabel.tests.test_quaternions.test_fillpos(True,) ... ok
> nibabel.tests.test_quaternions.test_conjugate(True,) ... ok
> nibabel.tests.test_quaternions.test_quat2mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_quat2mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_quat2mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_quat2mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_quat2mat(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_norm(True,) ... ok
> nibabel.tests.test_quaternions.test_norm(True,) ... ok
> nibabel.tests.test_quaternions.test_norm(True,) ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -2.44929360e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 7.49879891e-33, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 7.49879891e-33, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -3.74939946e-33, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 4.59169004e-49, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 4.59169004e-49, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -3.74939946e-33, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.49975978e-32, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 0.00000000e+00, 1.49975978e-32], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.12481984e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.87469973e-32, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -2.62457962e-32, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 2.44929360e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.83697020e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 2.44929360e-16, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 3.06161700e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -3.74939946e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -2.44929360e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 2.44929360e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.67394040e-16, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -3.06161700e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -2.44929360e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.83697020e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 2.73235495e-32, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.23259516e-32, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.12481984e-32, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.83697020e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 0.00000000e+00, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, 1.49975978e-32], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 9.18338009e-49, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 0.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, 2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.83697020e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 2.44929360e-16, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -2.62457962e-32, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -3.06161700e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -2.44929360e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.83697020e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.49975978e-32, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.83697020e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.49975978e-32, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 2.44929360e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.83697020e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.22464680e-16, 1.49975978e-32], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.49975978e-32, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, 2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 0.00000000e+00, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.83697020e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -2.44929360e-16, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.83697020e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -2.67164618e-33, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.23259516e-32, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.83697020e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.22464680e-16, -2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -1.22464680e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.22464680e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.83697020e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -2.44929360e-16, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.87469973e-32, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -3.06161700e-16, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 2.44929360e-16, -1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.83697020e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, -1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, 1.00000000e+00, 1.49975978e-32], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, -1.22464680e-16, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.83697020e-16, -1.49975978e-32, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 9.18338009e-49, 2.44929360e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.83697020e-16, 7.49879891e-33, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -7.49879891e-33, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, 6.12323400e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, 6.12323400e-17, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, 1.83697020e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 3.74939946e-33, -6.12323400e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ -1.00000000e+00, 1.83697020e-16, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.22464680e-16, 1.00000000e+00, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 1.00000000e+00, -6.12323400e-17, 6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_mult(array([[ 0.00000000e+00, -1.00000000e+00, -6.12323400e-17], ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_inverse(True,) ... ok
> nibabel.tests.test_quaternions.test_eye(True,) ... ok
> nibabel.tests.test_quaternions.test_eye(True,) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.22464680e-16, 2.03944661e-32]), array([ 1.00000000e+00, 1.22464680e-16, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1., 0., 0.]), array([ 1.00000000e+00, -1.22464680e-16, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16]), array([ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16]), array([ 1.00000000e+00, 1.22464680e-16, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, 0.00000000e+00, 1.00000000e+00]), array([ -6.12323400e-17, 0.00000000e+00, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -1.00000000e+00, -1.11022302e-16]), array([ -6.12323400e-17, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -2.22044605e-16, -2.18241586e-16, -1.00000000e+00]), array([ -6.12323400e-17, -1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, -2.49800181e-16]), array([ -6.12323400e-17, 1.00000000e+00, -1.83697020e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 1.22464680e-16, 7.49879891e-33]), array([ -1.00000000e+00, 1.22464680e-16, 1.49975978e-32])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -6.12323400e-17, 6.12323400e-17]), array([ -1.00000000e+00, -7.49879891e-33, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00]), array([ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -6.12323400e-17, -6.12323400e-17]), array([ -1.00000000e+00, -7.49879891e-33, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 3.33066907e-16, 2.31117880e-16, -1.00000000e+00]), array([ -6.12323400e-17, 2.44929360e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, 2.49800181e-16]), array([ -6.12323400e-17, 1.00000000e+00, 1.83697020e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -2.22044605e-16, -2.18241586e-16, 1.00000000e+00]), array([ -6.12323400e-17, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -1.00000000e+00, 1.11022302e-16]), array([ -6.12323400e-17, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 6.10622664e-16, 1.00000000e+00, 1.22464680e-16]), array([ -6.12323400e-17, 1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, -2.22044605e-16, 1.00000000e+00]), array([ -6.12323400e-17, -6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -2.22044605e-16, -1.00000000e+00, 1.23259516e-32]), array([ -6.12323400e-17, -1.00000000e+00, 7.49879891e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.66533454e-16, 1.38777878e-16, -1.00000000e+00]), array([ -6.12323400e-17, -6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, 1.00000000e+00, -1.11022302e-16]), array([ 3.74939946e-33, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.77555756e-16, -3.06161700e-17, 1.00000000e+00]), array([ 3.74939946e-33, 0.00000000e+00, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.00000000e+00, 1.11022302e-16]), array([ 3.74939946e-33, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -9.18485099e-17, -1.00000000e+00]), array([ 3.74939946e-33, -1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, 1.00000000e+00, 1.22464680e-16]), array([ 6.12323400e-17, 1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, 1.66533454e-16, 1.00000000e+00]), array([ 6.12323400e-17, -6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, -1.00000000e+00, 0.00000000e+00]), array([ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, 1.66533454e-16, -1.00000000e+00]), array([ 6.12323400e-17, -6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, 2.49800181e-16]), array([ 3.74939946e-33, 1.00000000e+00, 1.83697020e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -9.18485099e-17, 1.00000000e+00]), array([ 3.74939946e-33, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.00000000e+00, -1.11022302e-16]), array([ 3.74939946e-33, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.77555756e-16, -3.06161700e-17, -1.00000000e+00]), array([ 3.74939946e-33, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 7.49879891e-33, 0.00000000e+00]), array([ -1.00000000e+00, 1.49975978e-32, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 6.12323400e-17, 6.12323400e-17]), array([ -1.00000000e+00, 1.22464680e-16, 7.49879891e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16]), array([ -1.00000000e+00, 0.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -6.12323400e-17, 6.12323400e-17]), array([ -1.00000000e+00, -1.22464680e-16, 7.49879891e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -3.33066907e-16, 6.12323400e-17, -1.00000000e+00]), array([ 6.12323400e-17, 1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, 1.11022302e-16]), array([ 6.12323400e-17, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ 6.12323400e-17, 0.00000000e+00, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.00000000e+00, 1.11022302e-16]), array([ 6.12323400e-17, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1., 0., 0.]), array([ 1., 0., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1., 0., 0.]), array([ 1., 0., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1., 0., 0.]), array([ 1., 0., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1., 0., 0.]), array([ 1., 0., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -3.33066907e-16, -6.12323400e-17, 1.00000000e+00]), array([ 6.12323400e-17, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.00000000e+00, -1.11022302e-16]), array([ 6.12323400e-17, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., -1.]), array([ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, -1.11022302e-16]), array([ 6.12323400e-17, 1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -1.00000000e+00, 1.91553812e-16]), array([ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.66533454e-16, -1.38777878e-16, -1.00000000e+00]), array([ -6.12323400e-17, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -2.22044605e-16, 1.00000000e+00, 1.23259516e-32]), array([ -6.12323400e-17, 1.00000000e+00, 7.49879891e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, 2.22044605e-16, 1.00000000e+00]), array([ -6.12323400e-17, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.00000000e+00, -2.49800181e-16]), array([ 3.74939946e-33, -1.00000000e+00, -1.83697020e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, 9.18485099e-17, -1.00000000e+00]), array([ 3.74939946e-33, 1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, 1.11022302e-16]), array([ 3.74939946e-33, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.77555756e-16, 3.06161700e-17, 1.00000000e+00]), array([ 3.74939946e-33, 0.00000000e+00, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, -1.00000000e+00, -1.22464680e-16]), array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -1.66533454e-16, -1.00000000e+00]), array([ 6.12323400e-17, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, 1.00000000e+00, 0.00000000e+00]), array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -1.66533454e-16, 1.00000000e+00]), array([ 6.12323400e-17, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -1.00000000e+00, 1.11022302e-16]), array([ 3.74939946e-33, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.77555756e-16, 3.06161700e-17, -1.00000000e+00]), array([ 3.74939946e-33, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.00000000e+00, -1.11022302e-16]), array([ 3.74939946e-33, 1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, 9.18485099e-17, 1.00000000e+00]), array([ 3.74939946e-33, 1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, 1.00000000e+00, 3.33066907e-16]), array([ -1.22464680e-16, 1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -2.22044605e-16, 1.00000000e+00]), array([ -1.22464680e-16, -6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, -1.00000000e+00, 1.49975978e-32]), array([ -1.22464680e-16, -1.00000000e+00, 1.49975978e-32])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, -2.22044605e-16, -1.00000000e+00]), array([ -1.22464680e-16, -6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 1., 0.]), array([ 7.49879891e-33, 1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.11022302e-16, 1.00000000e+00]), array([ 7.49879891e-33, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -9.57769059e-17, -1.00000000e+00, 2.18241586e-16]), array([ 7.49879891e-33, -1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -2.77555756e-16, -1.00000000e+00]), array([ 7.49879891e-33, -1.83697020e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.22464680e-16, 1.00000000e+00, 1.22464680e-16]), array([ 1.22464680e-16, 1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 6.12323400e-17, -4.99600361e-16, 1.00000000e+00]), array([ 1.22464680e-16, -6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.22464680e-16, -1.00000000e+00, 0.00000000e+00]), array([ 1.22464680e-16, -1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 6.12323400e-17, -4.99600361e-16, -1.00000000e+00]), array([ 1.22464680e-16, -6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.38114802e-17, 1.00000000e+00, 2.31117880e-16]), array([ 7.49879891e-33, 1.00000000e+00, 2.44929360e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -2.77555756e-16, 1.00000000e+00]), array([ 7.49879891e-33, -1.83697020e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -9.57769059e-17, -1.00000000e+00, -2.18241586e-16]), array([ 7.49879891e-33, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.11022302e-16, -1.00000000e+00]), array([ 7.49879891e-33, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 6.10622664e-16, -1.22464680e-16]), array([ -1.00000000e+00, -6.12323400e-17, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -2.22044605e-16, 2.22044605e-16]), array([ -1.00000000e+00, 1.22464680e-16, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 2.22044605e-16, 1.22464680e-16]), array([ -1.00000000e+00, 6.12323400e-17, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -5.55111512e-17, 1.66533454e-16]), array([ -1.00000000e+00, -1.22464680e-16, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -1.11022302e-16, -1.00000000e+00]), array([ 6.12323400e-17, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 3.06161700e-17, 1.00000000e+00, 3.06161700e-17]), array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, 1.11022302e-16, 1.00000000e+00]), array([ 6.12323400e-17, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 9.18485099e-17, -1.00000000e+00, 9.18485099e-17]), array([ 6.12323400e-17, -1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -2.22044605e-16, -1.23259516e-32]), array([ 1.00000000e+00, -6.12323400e-17, -7.49879891e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -1.66533454e-16, 0.00000000e+00]), array([ 1.00000000e+00, 3.74939946e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 2.22044605e-16, 0.00000000e+00]), array([ 1.00000000e+00, 6.12323400e-17, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -1.66533454e-16, 0.00000000e+00]), array([ 1.00000000e+00, 3.74939946e-33, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, -2.77555756e-16, 1.00000000e+00]), array([ 6.12323400e-17, -1.83697020e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 9.18485099e-17, -1.00000000e+00, -9.18485099e-17]), array([ 6.12323400e-17, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, 1.11022302e-16, -1.00000000e+00]), array([ 6.12323400e-17, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 3.06161700e-17, 1.00000000e+00, -3.06161700e-17]), array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -7.49879891e-33, -1.00000000e+00, 0.00000000e+00]), array([ 0.00000000e+00, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -6.12323400e-17, -4.99600361e-16, -1.00000000e+00]), array([ 0.00000000e+00, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 1., 0.]), array([ 0., 1., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 6.12323400e-17, -4.99600361e-16, 1.00000000e+00]), array([ 0.00000000e+00, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -6.12323400e-17, -1.00000000e+00, -6.12323400e-17]), array([ 0.00000000e+00, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.11022302e-16, -1.00000000e+00]), array([ 0.00000000e+00, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 1., 0.]), array([ 0., 1., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, 1.11022302e-16, 1.00000000e+00]), array([ 0.00000000e+00, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -1.00000000e+00, -1.22464680e-16]), array([ 0.00000000e+00, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., -1.]), array([ 0.00000000e+00, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 1., 0.]), array([ 0., 1., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ 0.00000000e+00, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 6.12323400e-17, -1.00000000e+00, -6.12323400e-17]), array([ 0.00000000e+00, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.11022302e-16, 1.11022302e-16, -1.00000000e+00]), array([ 0.00000000e+00, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 1., 0.]), array([ 0., 1., 0.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.11022302e-16, 1.00000000e+00]), array([ 0.00000000e+00, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -7.49879891e-33, 4.36483172e-16]), array([ 1.00000000e+00, -6.12323400e-17, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -5.55111512e-17, -1.66533454e-16]), array([ 1.00000000e+00, -1.22464680e-16, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 2.22044605e-16, -1.22464680e-16]), array([ 1.00000000e+00, 6.12323400e-17, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -2.22044605e-16, -2.22044605e-16]), array([ 1.00000000e+00, 1.22464680e-16, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -2.77555756e-16, 1.00000000e+00]), array([ -6.12323400e-17, -1.83697020e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -9.18485099e-17, -1.00000000e+00, -9.18485099e-17]), array([ -6.12323400e-17, -1.00000000e+00, -1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.11022302e-16, -1.00000000e+00]), array([ -6.12323400e-17, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -3.06161700e-17, 1.00000000e+00, -3.06161700e-17]), array([ -6.12323400e-17, 1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -2.22044605e-16, -1.23259516e-32]), array([ -1.00000000e+00, -6.12323400e-17, -7.49879891e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.66533454e-16, 0.00000000e+00]), array([ -1.00000000e+00, 3.74939946e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 2.22044605e-16, 0.00000000e+00]), array([ -1.00000000e+00, 6.12323400e-17, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.66533454e-16, 0.00000000e+00]), array([ -1.00000000e+00, 3.74939946e-33, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, -1.11022302e-16, -1.00000000e+00]), array([ -6.12323400e-17, 6.12323400e-17, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -3.06161700e-17, 1.00000000e+00, 3.06161700e-17]), array([ -6.12323400e-17, 1.00000000e+00, 0.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.11022302e-16, 1.11022302e-16, 1.00000000e+00]), array([ -6.12323400e-17, 6.12323400e-17, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -9.18485099e-17, -1.00000000e+00, 9.18485099e-17]), array([ -6.12323400e-17, -1.00000000e+00, 1.22464680e-16])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.03944661e-32, -3.33066907e-16, 1.00000000e+00]), array([ -1.22464680e-16, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -1.00000000e+00, -2.22044605e-16]), array([ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, -1.36845553e-48, -1.00000000e+00]), array([ -1.22464680e-16, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, 1.00000000e+00, -2.22044605e-16]), array([ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 0.00000000e+00, 2.22044605e-16]), array([ -1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.11022302e-16, -1.11022302e-16]), array([ -1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 9.57769059e-17, 2.22044605e-16]), array([ -1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.11022302e-16, -1.11022302e-16]), array([ -1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 7.49879891e-33, 1.22464680e-16, -1.00000000e+00]), array([ 0.00000000e+00, 1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -6.12323400e-17, 1.00000000e+00, 4.99600361e-16]), array([ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ 0., 0., 1.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 6.12323400e-17, -1.00000000e+00, 4.99600361e-16]), array([ 0.00000000e+00, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -1.38114802e-17, 3.33066907e-16]), array([ 1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.11022302e-16, -1.11022302e-16]), array([ 1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -9.57769059e-17, 2.22044605e-16]), array([ 1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.11022302e-16, -1.11022302e-16]), array([ 1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, -1.22464680e-16, 1.00000000e+00]), array([ -1.22464680e-16, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, -1.00000000e+00, -2.22044605e-16]), array([ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, 1.23259516e-32, -1.00000000e+00]), array([ -1.22464680e-16, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, 1.00000000e+00, 1.66533454e-16]), array([ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 1.11022302e-16, -1.11022302e-16]), array([ -1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 3.06161700e-17, 2.77555756e-16]), array([ -1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 1.11022302e-16, 1.11022302e-16]), array([ -1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -9.18485099e-17, 0.00000000e+00]), array([ -1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.23259516e-32, 1.22464680e-16, -1.00000000e+00]), array([ 0.00000000e+00, 1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.66533454e-16, 1.00000000e+00, -1.66533454e-16]), array([ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ 0., 0., 1.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.66533454e-16, -1.00000000e+00, -1.66533454e-16]), array([ 0.00000000e+00, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.11022302e-16, -1.11022302e-16]), array([ 1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 9.18485099e-17, 0.00000000e+00]), array([ 1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -1.11022302e-16, 1.11022302e-16]), array([ 1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -3.06161700e-17, 2.77555756e-16]), array([ 1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ -1.22464680e-16, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -6.12323400e-17, -1.00000000e+00, 4.99600361e-16]), array([ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, 0.00000000e+00, -1.00000000e+00]), array([ -1.22464680e-16, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -6.12323400e-17, 1.00000000e+00, 4.99600361e-16]), array([ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 6.12323400e-17, 3.33066907e-16]), array([ -1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.11022302e-16, 1.11022302e-16]), array([ -1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([-1., 0., 0.]), array([ -1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 1.11022302e-16, 1.11022302e-16]), array([ -1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, 1.22464680e-16, -1.00000000e+00]), array([ 0.00000000e+00, 1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 1., 0.]), array([ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ 0., 0., 1.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., -1., 0.]), array([ 0.00000000e+00, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 6.12323400e-17, 3.33066907e-16]), array([ 1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -1.11022302e-16, 1.11022302e-16]), array([ 1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1., 0., 0.]), array([ 1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.11022302e-16, 1.11022302e-16]), array([ 1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -4.36483172e-16, 1.91553812e-16, 1.00000000e+00]), array([ -1.22464680e-16, -1.22464680e-16, 1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0.00000000e+00, -1.00000000e+00, 1.66533454e-16]), array([ -1.22464680e-16, -1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.22464680e-16, -1.23259516e-32, -1.00000000e+00]), array([ -1.22464680e-16, 0.00000000e+00, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 2.22044605e-16, 1.00000000e+00, -2.22044605e-16]), array([ -1.22464680e-16, 1.00000000e+00, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 1.11022302e-16, -1.11022302e-16]), array([ -1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, 9.18485099e-17, 0.00000000e+00]), array([ -1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -1.11022302e-16, 1.11022302e-16]), array([ -1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.00000000e+00, -3.06161700e-17, 2.77555756e-16]), array([ -1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.23259516e-32, 1.22464680e-16, -1.00000000e+00]), array([ 0.00000000e+00, 1.22464680e-16, -1.00000000e+00])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ -1.66533454e-16, 1.00000000e+00, -1.66533454e-16]), array([ 0.00000000e+00, 1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 0., 0., 1.]), array([ 0., 0., 1.])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.66533454e-16, -1.00000000e+00, -1.66533454e-16]), array([ 0.00000000e+00, -1.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.11022302e-16, -1.11022302e-16]), array([ 1.00000000e+00, 7.49879891e-33, -6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 3.06161700e-17, 2.77555756e-16]), array([ 1.00000000e+00, 6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, 1.11022302e-16, 1.11022302e-16]), array([ 1.00000000e+00, 0.00000000e+00, 6.12323400e-17])) ... ok
> nibabel.tests.test_quaternions.test_qrotate(array([ 1.00000000e+00, -9.18485099e-17, 0.00000000e+00]), array([ 1.00000000e+00, -6.12323400e-17, 3.74939946e-33])) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_quaternion_reconstruction(True,) ... ok
> nibabel.tests.test_quaternions.test_angle_axis2quat(array([ 1., 0., 0., 0.]), [1, 0, 0, 0]) ... ok
> nibabel.tests.test_quaternions.test_angle_axis2quat(array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis2quat(array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis2quat(array([ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 1.00000000e+00, 1.66533454e-16, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, 0.70710678, 0. , 0. ]), array([ 0.70710678, 0.70710678, 0. , 0. ])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 3.74939946e-33, 1.00000000e+00, -6.12323400e-17, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, -1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, 0. , -0.70710678, 0. ]), array([ 0.70710678, 0. , -0.70710678, 0. ])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 6.12323400e-17, -0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 6.12323400e-17, -0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -2.22044605e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -2.22044605e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, 7.07106781e-01, -1.11022302e-16, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -7.04136402e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -7.04136402e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.11022302e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.11022302e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.00000000e+00, -6.12323400e-17, -1.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 1.22464680e-16, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 8.65956056e-17, -8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 8.65956056e-17, -8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.12323400e-17, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 8.65956056e-17, 8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 8.65956056e-17, 8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, 8.65956056e-17, 7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -3.82856870e-16, 1.38114802e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -3.82856870e-16, 1.38114802e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.11022302e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.11022302e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -7.07106781e-01, 1.11022302e-16, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -7.04136402e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -7.04136402e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -2.22044605e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -2.22044605e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, 0.00000000e+00, -8.65956056e-17, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, -1.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.11022302e-16, -1.00000000e+00, 4.99600361e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.11022302e-16, -1.00000000e+00, 4.99600361e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, 7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -1.00000000e+00, -1.47827946e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -1.00000000e+00, -1.47827946e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 2.22044605e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 2.22044605e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 3.06161700e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 3.06161700e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.49467042e-17, 7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, 8.65956056e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, 8.65956056e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, 1.00000000e+00, -2.53632657e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, 1.00000000e+00, -2.53632657e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.00000000e+00, 2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.00000000e+00, 2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, 0. , 0. , -0.70710678]), array([ 0.70710678, 0. , 0. , -0.70710678])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 6.12323400e-17, 1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.11022302e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, 1.11022302e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.49467042e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, 8.65956056e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, 8.65956056e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, 0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 3.06161700e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 3.06161700e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 3.74939946e-33, 0.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, -1.22464680e-16, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, -8.65956056e-17, -8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, -8.65956056e-17, -8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.12323400e-17, 0.00000000e+00, -1.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, -0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, -0.00000000e+00, -1.22464680e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, 0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 8.65956056e-17, -8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.00000000e+00, 8.65956056e-17, -8.65956056e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -8.65956056e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, -8.65956056e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, -0. , -0.70710678, -0. ]), array([ 0.70710678, -0. , -0.70710678, -0. ])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 0.00000000e+00, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, -0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, -0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, -0.70710678, -0. , -0. ]), array([ 0.70710678, -0.70710678, -0. , -0. ])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 1., 0., 0., 0.]), array([ 1., 0., 0., 0.])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1., 0., 0.], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, 0.70710678, 0. , 0. ]), array([ 0.70710678, 0.70710678, 0. , 0. ])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, 8.65956056e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, 8.65956056e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, 1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, 0. , 0.70710678, 0. ]), array([ 0.70710678, 0. , 0.70710678, 0. ])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 0.00000000e+00, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, 8.65956056e-17, -2.22044605e-16, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 1.00000000e+00, -4.36483172e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, 1.00000000e+00, -4.36483172e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, 0.5, -0.5]), array([ 0.5, 0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, 1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, 1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -7.07106781e-01, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, 1.00000000e+00, -1.47827946e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -2.22044605e-16, 1.00000000e+00, -1.47827946e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, -0.5, -0.5]), array([ 0.5, -0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.11022302e-16, 1.00000000e+00, 4.99600361e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.11022302e-16, 1.00000000e+00, 4.99600361e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, -0.5, -0.5]), array([ 0.5, 0.5, -0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -1.11022302e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -1.11022302e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.49467042e-17, -7.07106781e-01, 0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, -8.65956056e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, -8.65956056e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, -0.5, 0.5]), array([ 0.5, -0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, -0.00000000e+00, -7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, -3.06161700e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, -3.06161700e-17, -1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 4.32978028e-17, -7.07106781e-01, 7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, -1.00000000e+00, 2.53632657e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, -1.00000000e+00, 2.53632657e-17], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, 0.5, 0.5]), array([ 0.5, -0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -1.00000000e+00, -2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.70710678, 0. , 0. , 0.70710678]), array([ 0.70710678, 0. , 0. , 0.70710678])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 6.12323400e-17, -1.00000000e+00, 0.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, -0.5, 0.5]), array([ 0.5, 0.5, -0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -1.00000000e+00, 2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -1.00000000e+00, 2.22044605e-16], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, -0.5, 0.5, -0.5]), array([ 0.5, -0.5, 0.5, -0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -2.22044605e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 0.00000000e+00, -2.22044605e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 7.07106781e-01, -0.00000000e+00, 7.07106781e-01, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, -3.06161700e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ -1.60812265e-16, -3.06161700e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 0.5, 0.5, 0.5, 0.5]), array([ 0.5, 0.5, 0.5, 0.5])) ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 1.11022302e-16, -1.66533454e-16, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([ 6.49467042e-17, 7.07106781e-01, -0.00000000e+00, ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, -8.65956056e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_quaternions.test_angle_axis(array([[ 2.22044605e-16, -8.65956056e-17, 1.00000000e+00], ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(2, 2) ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'KeyError'>, <built-in method __getitem__ of collections.OrderedDict object at 0x7f4f0de74240>, 3) ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'AttributeError'>, <method-wrapper '__getattribute__' of Recoder object at 0x7f4f0ef971c0>, 'code') ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(2, 2) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(2, 2) ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'KeyError'>, <built-in method __getitem__ of collections.OrderedDict object at 0x7f4f0de74240>, 3) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(2, 2) ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'KeyError'>, <built-in method __getitem__ of collections.OrderedDict object at 0x7f4f0de74240>, 'three') ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'AttributeError'>, <method-wrapper '__getattribute__' of Recoder object at 0x7f4f0ef972e0>, 'label') ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'AttributeError'>, <method-wrapper '__getattribute__' of Recoder object at 0x7f4f0efaffa0>, 'code') ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder('one', 'one') ... ok
> nibabel.tests.test_recoder.test_recoder('one', 'one') ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder(1, 1) ... ok
> nibabel.tests.test_recoder.test_recoder('one', 'one') ... ok
> nibabel.tests.test_recoder.test_recoder('one', 'one') ... ok
> nibabel.tests.test_recoder.test_recoder(<class 'KeyError'>, <class 'nibabel.volumeutils.Recoder'>, ((1, 'one', '1', 'first'), (2, 'two')), ['field1']) ... ok
> nibabel.tests.test_recoder.test_custom_dicter('spam', 'spam') ... ok
> nibabel.tests.test_recoder.test_custom_dicter('spam', 'spam') ... ok
> nibabel.tests.test_recoder.test_custom_dicter('spam', 'spam') ... ok
> nibabel.tests.test_recoder.test_custom_dicter('eggs', 'eggs') ... ok
> nibabel.tests.test_recoder.test_custom_dicter(OrderedSet(['funny', 'list']), {'funny', 'list'}) ... ok
> nibabel.tests.test_recoder.test_custom_dicter(['some', 'keys'], ['some', 'keys']) ... ok
> nibabel.tests.test_recoder.test_add_codes(2, 2) ... ok
> nibabel.tests.test_recoder.test_add_codes(<class 'KeyError'>, <built-in method __getitem__ of collections.OrderedDict object at 0x7f4f0de74240>, 'three') ... ok
> nibabel.tests.test_recoder.test_add_codes(3, 3) ... ok
> nibabel.tests.test_recoder.test_add_codes(1, 1) ... ok
> nibabel.tests.test_recoder.test_sugar(OrderedDict([(1, 1), ('one', 1), ('1', 1), ('first', 1), (2, 2), ('two', 2)]), OrderedDict([(1, 1), ('one', 1), ('1', 1), ('first', 1), (2, 2), ('two', 2)])) ... ok
> nibabel.tests.test_recoder.test_sugar(OrderedDict([(1, 1), ('one', 1), ('1', 1), ('first', 1), (2, 2), ('two', 2)]), OrderedDict([(1, 1), ('one', 1), ('1', 1), ('first', 1), (2, 2), ('two', 2)])) ... ok
> nibabel.tests.test_recoder.test_sugar(1, 1) ... ok
> nibabel.tests.test_recoder.test_sugar(2, 2) ... ok
> nibabel.tests.test_recoder.test_sugar({1, 2, 'first', '1', 'two', 'one'}, {1, 2, 'first', '1', 'two', 'one'}) ... ok
> nibabel.tests.test_recoder.test_sugar(OrderedSet([1, 2]), {1, 2}) ... ok
> nibabel.tests.test_recoder.test_sugar(OrderedSet(['one', 'two']), {'one', 'two'}) ... ok
> nibabel.tests.test_recoder.test_sugar(True,) ... ok
> nibabel.tests.test_recoder.test_sugar(False,) ... ok
> nibabel.tests.test_recoder.test_dtmapper ... ok
> nibabel.tests.test_removalschedule.test_module_removal ... ok
> nibabel.tests.test_removalschedule.test_object_removal ... ok
> nibabel.tests.test_removalschedule.test_attribute_removal ... ok
> nibabel.tests.test_round_trip.test_big_bad_ulp ... ok
> nibabel.tests.test_round_trip.test_round_trip ... ok
> nibabel.tests.test_rstutils.test_rst_table ... ok
> nibabel.tests.test_scaling.test_finite_range ... ok
> nibabel.tests.test_scaling.test_a2f_mn_mx ... ok
> nibabel.tests.test_scaling.test_a2f_nan2zero ... ok
> nibabel.tests.test_scaling.test_array_file_scales ... ok
> nibabel.tests.test_scaling.test_scaling_in_abstract ... ok
> nibabel.tests.test_scripts.test_nib_ls ... ok
> nibabel.tests.test_scripts.test_nib_ls(['-H', 'dim,bitpix'], ' \\[ 4 128 96 24 2 1 1 1\\] 16') ... ok
> nibabel.tests.test_scripts.test_nib_ls(['-c'], '', ' !1030 uniques. Use --all-counts') ... ok
> nibabel.tests.test_scripts.test_nib_ls(['-c', '--all-counts'], '', ' 2:3 3:2 4:1 5:1.*') ... ok
> nibabel.tests.test_scripts.test_nib_ls(['-c', '-s', '--all-counts'], '', ' \\[229725\\] \\[2, 1.2e\\+03\\] 2:3 3:2 4:1 5:1.*') ... ok
> nibabel.tests.test_scripts.test_nib_ls(['-c', '-s', '-z', '--all-counts'], '', ' \\[589824\\] \\[0, 1.2e\\+03\\] 0:360099 2:3 3:2 4:1 5:1.*') ... ok
> nibabel.tests.test_scripts.test_nib_ls_multiple ... SKIP: For the other tests should be able to load MINC files
> nibabel.tests.test_scripts.test_help ... ok
> nibabel.tests.test_scripts.test_nib_diff ... ok
> nibabel.tests.test_scripts.test_nib_nifti_dx ... ok
> nibabel.tests.test_scripts.test_parrec2nii ... ok
> nibabel.tests.test_scripts.test_parrec2nii_with_data ... SKIP: Skipping test: test_parrec2nii_with_data: Need files in /<<PKGBUILDDIR>>/nibabel-data/nitest-balls1 for these tests
> nibabel.tests.test_scripts.test_nib_trk2tck ... ok
> nibabel.tests.test_scripts.test_nib_tck2trk ... ok
> nibabel.tests.test_spaces.test_vox2out_vox ... ok
> nibabel.tests.test_spaces.test_slice2volume ... ok
> test_api_deprecations (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_data_api (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_data_default (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_data_shape (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_default_header (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_float_affine (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_get_data (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_get_fdata (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_get_shape (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_images (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_isolation (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> test_slicer (nibabel.tests.test_spatialimages.TestSpatialImage) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_str (nibabel.tests.test_spatialimages.TestSpatialImage) ... ok
> nibabel.tests.test_spatialimages.test_header_init ... ok
> nibabel.tests.test_spatialimages.test_from_header ... ok
> nibabel.tests.test_spatialimages.test_eq ... ok
> nibabel.tests.test_spatialimages.test_copy ... ok
> nibabel.tests.test_spatialimages.test_shape_zooms ... ok
> nibabel.tests.test_spatialimages.test_data_dtype ... ok
> nibabel.tests.test_spatialimages.test_affine ... ok
> nibabel.tests.test_spatialimages.test_read_data ... ok
> nibabel.tests.test_spatialimages.test_header_deprecated ... ok
> test__eq__ (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_base_affine (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_big_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_bytes (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_checks (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_data_dtype (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_data_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_datatype (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_default_x_flip (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_empty (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_empty_check (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_endian_guess (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_from_analyze_map (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_from_eg_file (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_from_header (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_general_init (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_get_value_label (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_header_size (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_log_checks (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_logger_error (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_mappingness (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_offset (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_orientation (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_origin_checks (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_read_write_data (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_shapes (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_slope_inter (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_str (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_structarr (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_supported_types (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeHeader) ... ok
> test_affine_44 (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_api_deprecations (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_big_offset_exts (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_data_api (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_data_default (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_data_hdr_cache (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_data_shape (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_default_header (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_float_affine (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_get_data (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_get_fdata (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_get_shape (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_header_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_header_updating (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_images (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_int_int_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_isolation (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_load_mmap (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_mat_read (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_no_finite_values (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_no_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_none_affine (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_offset_to_zero (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_pickle (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_slicer (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_str (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_supported_types (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> test_write_scaling (nibabel.tests.test_spm2analyze.TestSpm2AnalyzeImage) ... ok
> nibabel.tests.test_spm2analyze.test_origin_affine ... ok
> test__eq__ (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_as_byteswapped (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_base_affine (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_big_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_binblock_is_file (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_bytes (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_checks (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_data_dtype (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_data_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_data_shape_zooms_affine (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_datatype (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_default_x_flip (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_empty (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_empty_check (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_endian_guess (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_from_analyze_map (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_from_eg_file (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_from_header (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_general_init (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_get_value_label (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_header_size (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_log_checks (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_logger_error (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_mappingness (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_no_scaling_fixes (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_offset (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_orientation (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_origin_checks (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_pixdim_checks (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_pixdim_log_checks (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_read_write_data (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_shapes (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_slope_inter (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_str (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_structarr (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_supported_types (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_to_from_fileobj (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeHeader) ... ok
> test_affine_44 (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_api_deprecations (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_big_offset_exts (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_data_api (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_data_default (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_data_hdr_cache (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_data_shape (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_default_header (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_float_affine (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_get_data (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_get_fdata (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_get_shape (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_header_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_header_updating (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_images (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_int_int_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_isolation (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_load_mmap (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_mat_read (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_nan2zero_range_ok (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_no_finite_values (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_no_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_none_affine (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_offset_to_zero (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_pickle (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_slicer (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> /<<PKGBUILDDIR>>/nibabel/tests/test_spatialimages.py:529: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
> np.random.choice(slice_elems, n_elems).tolist())
> ok
> test_str (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_supported_types (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> test_write_scaling (nibabel.tests.test_spm99analyze.TestSpm99AnalyzeImage) ... ok
> nibabel.tests.test_spm99analyze.test_origin_affine ... ok
> nibabel.tests.test_testing.test_assert_allclose_safely ... ok
> nibabel.tests.test_testing.test_data ... ok
> nibabel.tests.test_testing.test_clear_and_catch_warnings ... ok
> nibabel.tests.test_testing.test_clear_and_catch_warnings_inherit ... ok
> nibabel.tests.test_testing.test_warn_error ... ok
> nibabel.tests.test_testing.test_warn_ignore ... ok
> nibabel.tests.test_testing.test_assert_re_in ... ok
> nibabel.tests.test_testing.test_test_data ... ok
> nibabel.tests.test_tmpdirs.test_given_directory ... ok
> nibabel.tests.test_trackvis.test_write ... ok
> nibabel.tests.test_trackvis.test_write_scalars_props ... ok
> nibabel.tests.test_trackvis.test_round_trip ... ok
> nibabel.tests.test_trackvis.test_points_processing ... /<<PKGBUILDDIR>>/nibabel/trackvis.py:239: RuntimeWarning: invalid value encountered in true_divide
> xyz = xyz / zooms
> /<<PKGBUILDDIR>>/nibabel/trackvis.py:239: RuntimeWarning: invalid value encountered in true_divide
> xyz = xyz / zooms
> ok
> nibabel.tests.test_trackvis.test__check_hdr_points_space ... ok
> nibabel.tests.test_trackvis.test_empty_header ... ok
> nibabel.tests.test_trackvis.test_get_affine ... ok
> nibabel.tests.test_trackvis.test_aff_to_hdr ... ok
> nibabel.tests.test_trackvis.test_tv_class ... ok
> nibabel.tests.test_trackvis.test_tvfile_io ... ok
> nibabel.tests.test_trackvis.test_read_truncated ... ok
> nibabel.tests.test_tripwire.test_is_tripwire ... ok
> nibabel.tests.test_tripwire.test_tripwire ... ok
> nibabel.tests.test_viewers.test_viewer ... ok
> nibabel.tests.test_volumeutils.test_deprecated_functions ... ok
> nibabel.tests.test_volumeutils.test__is_compressed_fobj ... ok
> nibabel.tests.test_volumeutils.test_fobj_string_assumptions ... ok
> nibabel.tests.test_volumeutils.test_array_from_file ... ok
> nibabel.tests.test_volumeutils.test_array_from_file_mmap ... ok
> nibabel.tests.test_volumeutils.test_array_from_file_openers ... ok
> nibabel.tests.test_volumeutils.test_array_from_file_reread ... ok
> nibabel.tests.test_volumeutils.test_array_to_file ... ok
> nibabel.tests.test_volumeutils.test_a2f_intercept_scale ... ok
> nibabel.tests.test_volumeutils.test_a2f_upscale ... ok
> nibabel.tests.test_volumeutils.test_a2f_min_max ... ok
> nibabel.tests.test_volumeutils.test_a2f_order ... ok
> nibabel.tests.test_volumeutils.test_a2f_nan2zero ... ok
> nibabel.tests.test_volumeutils.test_a2f_nan2zero_scaling ... ok
> nibabel.tests.test_volumeutils.test_a2f_offset ... ok
> nibabel.tests.test_volumeutils.test_a2f_dtype_default ... ok
> nibabel.tests.test_volumeutils.test_a2f_zeros ... ok
> nibabel.tests.test_volumeutils.test_a2f_big_scalers ... ok
> nibabel.tests.test_volumeutils.test_a2f_int_scaling ... ok
> nibabel.tests.test_volumeutils.test_a2f_scaled_unscaled ... ok
> nibabel.tests.test_volumeutils.test_a2f_nanpos ... ok
> nibabel.tests.test_volumeutils.test_a2f_bad_scaling ... /<<PKGBUILDDIR>>/nibabel/volumeutils.py:817: ComplexWarning: Casting complex values to real discards the imaginary part
> dslice = dslice.astype(in_cast)
> /<<PKGBUILDDIR>>/nibabel/volumeutils.py:831: ComplexWarning: Casting complex values to real discards the imaginary part
> dslice = dslice.astype(out_dtype)
> ok
> nibabel.tests.test_volumeutils.test_a2f_nan2zero_range ... /<<PKGBUILDDIR>>/nibabel/volumeutils.py:817: ComplexWarning: Casting complex values to real discards the imaginary part
> dslice = dslice.astype(in_cast)
> ok
> nibabel.tests.test_volumeutils.test_a2f_non_numeric ... ok
> nibabel.tests.test_volumeutils.test_apply_scaling ... ok
> nibabel.tests.test_volumeutils.test_apply_read_scaling_ints ... ok
> nibabel.tests.test_volumeutils.test_apply_read_scaling_nones ... ok
> nibabel.tests.test_volumeutils.test_int_scinter ... ok
> nibabel.tests.test_volumeutils.test_working_type ... ok
> nibabel.tests.test_volumeutils.test_better_float ... ok
> nibabel.tests.test_volumeutils.test_best_write_scale_ftype ... ok
> nibabel.tests.test_volumeutils.test_write_zeros ... ok
> nibabel.tests.test_volumeutils.test_seek_tell ... ok
> nibabel.tests.test_volumeutils.test_seek_tell_logic ... ok
> nibabel.tests.test_volumeutils.test_fname_ext_ul_case ... ok
> nibabel.tests.test_volumeutils.test_allopen ... ok
> nibabel.tests.test_volumeutils.test_allopen_compresslevel ... ok
> nibabel.tests.test_volumeutils.test_shape_zoom_affine ... ok
> nibabel.tests.test_volumeutils.test_rec2dict ... ok
> nibabel.tests.test_volumeutils.test_dtypes ... ok
> nibabel.tests.test_volumeutils.test__write_data ... ok
> nibabel.tests.test_volumeutils.test_array_from_file_overflow ... ok
> nibabel.tests.test_volumeutils.test__ftype4scaled_finite_warningfilters ... ok
> test__eq__ (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_as_byteswapped (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_binblock_is_file (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_bytes (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_checks (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_copy (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_empty (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_empty_check (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_endian_guess (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_general_init (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_get_value_label (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_log_checks (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_logger_error (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_mappingness (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_str (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_structarr (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test_to_from_fileobj (nibabel.tests.test_wrapstruct.TestMyLabeledWrapStruct) ... ok
> test__eq__ (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_as_byteswapped (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_binblock_is_file (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_bytes (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_checks (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_copy (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_empty (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_empty_check (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_endian_guess (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> Its use in initialization tested in the init tests. ... ok
> test_general_init (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_log_checks (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_logger_error (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_mappingness (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_str (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_structarr (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> test_to_from_fileobj (nibabel.tests.test_wrapstruct.TestMyWrapStruct) ... ok
> nisext.tests.test_sexts.test_package_check ... ok
> nisext.tests.test_sexts.test_package_check_setuptools ... ok
> nisext.tests.test_testers.test_back_tick ... ok
> nisext.tests.test_testers.test_run_mod_cmd ... ok
>
> ======================================================================
> ERROR: autogenerated test from TestCifti2ImageAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/cifti2/cifti2.py", line 1475, in to_file_map
> img = Nifti2Image(data, None, header)
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 1768, in __init__
> super(Nifti1Pair, self).__init__(dataobj,
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 922, in __init__
> super(AnalyzeImage, self).__init__(
> File "/<<PKGBUILDDIR>>/nibabel/spatialimages.py", line 451, in __init__
> super(SpatialImage, self).__init__(dataobj, header=header, extra=extra,
> File "/<<PKGBUILDDIR>>/nibabel/dataobj_images.py", line 42, in __init__
> super(DataobjImage, self).__init__(header=header, extra=extra,
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 192, in __init__
> self._header = self.header_class.from_header(header)
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 767, in from_header
> new_hdr = super(Nifti1Header, klass).from_header(header, check)
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 369, in from_header
> obj = header.copy()
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 677, in copy
> self.binaryblock,
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestAnalyzeAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestMGHAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/freesurfer/mghformat.py", line 603, in to_file_map
> hdr.writehdr_to(mghf)
> File "/<<PKGBUILDDIR>>/nibabel/freesurfer/mghformat.py", line 407, in writehdr_to
> buffer=self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestNifti1API.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 716, in write_to
> super(Nifti1Header, self).write_to(fileobj)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestNifti1PairAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 716, in write_to
> super(Nifti1Header, self).write_to(fileobj)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestNifti2API.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 716, in write_to
> super(Nifti1Header, self).write_to(fileobj)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestNifti2PairAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/nifti1.py", line 716, in write_to
> super(Nifti1Header, self).write_to(fileobj)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestSpm2AnalyzeAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/spm99analyze.py", line 330, in to_file_map
> super(Spm99AnalyzeImage, self).to_file_map(file_map)
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> ERROR: autogenerated test from TestSpm99AnalyzeAPI.validate_filenames
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_api_validators.py", line 20, in meth
> validator(self, imaker, params)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_image_api.py", line 157, in validate_filenames
> img.to_filename(path)
> File "/<<PKGBUILDDIR>>/nibabel/filebasedimages.py", line 334, in to_filename
> self.to_file_map()
> File "/<<PKGBUILDDIR>>/nibabel/spm99analyze.py", line 330, in to_file_map
> super(Spm99AnalyzeImage, self).to_file_map(file_map)
> File "/<<PKGBUILDDIR>>/nibabel/analyze.py", line 1044, in to_file_map
> hdr.write_to(hdrf)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 237, in write_to
> fileobj.write(self.binaryblock)
> File "/<<PKGBUILDDIR>>/nibabel/wrapstruct.py", line 212, in binaryblock
> return self._structarr.tostring()
> DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
>
> ======================================================================
> FAIL: nibabel.tests.test_ecat.test_from_filespec_deprecation
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/usr/lib/python3/dist-packages/nose/case.py", line 197, in runTest
> self.test(*self.arg)
> File "/<<PKGBUILDDIR>>/nibabel/tests/test_ecat.py", line 276, in test_from_filespec_deprecation
> assert_equal(len(w), 0)
> AssertionError: 1 != 0
>
> ----------------------------------------------------------------------
> Ran 7748 tests in 120.618s
>
> FAILED (SKIP=64, errors=9, failures=1)
> E: pybuild pybuild:352: test: plugin custom failed with: exit code=1: PYTHONPATH=/<<PKGBUILDDIR>>/.pybuild/cpython3_3.8/build LC_ALL=C.UTF-8 python3.8 -m nose --verbose
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.8 returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2020/07/09/nibabel_3.0.1-1_unstable.log
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
About the archive rebuild: The rebuild was done on EC2 VM instances from
Amazon Web Services, using a clean, minimal and up-to-date chroot. Every
failed build was retried once to eliminate random failures.
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