--- Begin Message ---
Source: nitime
Version: 0.9-2
Severity: serious
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lu...@debian.org
Usertags: ftbfs-20220624 ftbfs-bookworm
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> debian/rules binary
> dh binary --with python3 --buildsystem pybuild
> dh_update_autotools_config -O--buildsystem=pybuild
> dh_autoreconf -O--buildsystem=pybuild
> dh_auto_configure -O--buildsystem=pybuild
> I: pybuild base:239: python3.9 setup.py config
> running config
> I: pybuild base:239: python3.10 setup.py config
> running config
> dh_auto_build -O--buildsystem=pybuild
> I: pybuild base:239: /usr/bin/python3.9 setup.py build
> running build
> running build_py
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/index_utils.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/_mpl_units.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/viz.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/descriptors.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/timeseries.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/lazy.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/version.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/lazyimports.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/utils.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/spectral.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/event_related.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/granger.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/normalization.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/coherence.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> copying nitime/analysis/snr.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri
> copying nitime/fmri/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri
> copying nitime/fmri/hrf.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri
> copying nitime/fmri/io.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/spectral.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/cohere.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/autoregressive.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/filter.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/event_related.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/entropy.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> copying nitime/algorithms/wavelet.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_descriptors.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_lazy.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_utils.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_timeseries.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_algorithms.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_analysis.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/test_viz.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> copying nitime/analysis/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_snr.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_granger.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_coherence.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri/tests
> copying nitime/fmri/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri/tests
> copying nitime/fmri/tests/test_io.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_autoregressive.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_spectral.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_coherence.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_event_related.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_entropy.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests
> copying nitime/LICENSE -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime
> copying nitime/tests/cxy_matlab.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/dpss_matlab.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/tseries12.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/fxx_matlab.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> copying nitime/tests/long_dpss_matlab.npy ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/fmri2.nii.gz ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/fmri1.nii.gz ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/grasshopper_spike_times1.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/grasshopper_spike_times2.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/grasshopper_stimulus2.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/grasshopper_stimulus1.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/fmri_timeseries.csv ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> copying nitime/data/event_related_fmri.csv ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/data
> I: pybuild base:239: /usr/bin/python3 setup.py build
> running build
> running build_py
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/index_utils.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/_mpl_units.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/viz.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/descriptors.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/timeseries.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/lazy.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/version.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/lazyimports.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/utils.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/spectral.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/event_related.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/granger.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/normalization.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/coherence.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> copying nitime/analysis/snr.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri
> copying nitime/fmri/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri
> copying nitime/fmri/hrf.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri
> copying nitime/fmri/io.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/spectral.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/cohere.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/autoregressive.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/filter.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/event_related.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/entropy.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> copying nitime/algorithms/wavelet.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_descriptors.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_lazy.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_utils.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_timeseries.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_algorithms.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_analysis.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/test_viz.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> copying nitime/analysis/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_snr.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_granger.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> copying nitime/analysis/tests/test_coherence.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri/tests
> copying nitime/fmri/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri/tests
> copying nitime/fmri/tests/test_io.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_correlation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_autoregressive.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_spectral.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_coherence.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_event_related.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/algorithms/tests/test_entropy.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests
> copying nitime/LICENSE -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime
> copying nitime/tests/cxy_matlab.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/dpss_matlab.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/tseries12.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/fxx_matlab.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> copying nitime/tests/long_dpss_matlab.npy ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/fmri2.nii.gz ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/fmri1.nii.gz ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/grasshopper_spike_times1.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/grasshopper_spike_times2.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/grasshopper_stimulus2.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/grasshopper_stimulus1.txt ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/fmri_timeseries.csv ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> copying nitime/data/event_related_fmri.csv ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/data
> dh_auto_test -O--buildsystem=pybuild
> I: pybuild base:239: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build;
> python3.9 -m pytest
> ============================= test session starts
> ==============================
> platform linux -- Python 3.9.13, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
> rootdir: /<<PKGBUILDDIR>>
> collected 123 items
>
> nitime/algorithms/tests/test_autoregressive.py ..... [
> 4%]
> nitime/algorithms/tests/test_coherence.py ..........s.... [
> 16%]
> nitime/algorithms/tests/test_correlation.py . [
> 17%]
> nitime/algorithms/tests/test_entropy.py ..... [
> 21%]
> nitime/algorithms/tests/test_event_related.py . [
> 21%]
> nitime/algorithms/tests/test_spectral.py ................ [
> 34%]
> nitime/analysis/tests/test_base.py . [
> 35%]
> nitime/analysis/tests/test_coherence.py ...... [
> 40%]
> nitime/analysis/tests/test_correlation.py . [
> 41%]
> nitime/analysis/tests/test_granger.py .. [
> 43%]
> nitime/analysis/tests/test_snr.py . [
> 43%]
> nitime/fmri/tests/test_io.py . [
> 44%]
> nitime/tests/test_algorithms.py ........ [
> 51%]
> nitime/tests/test_analysis.py ....F.. [
> 56%]
> nitime/tests/test_descriptors.py . [
> 57%]
> nitime/tests/test_lazy.py .. [
> 59%]
> nitime/tests/test_timeseries.py .................................... [
> 88%]
> nitime/tests/test_utils.py ........... [
> 97%]
> nitime/tests/test_viz.py ...
> [100%]
>
> =================================== FAILURES
> ===================================
> _____________________________ test_FilterAnalyzer
> ______________________________
>
> def test_FilterAnalyzer():
> """Testing the FilterAnalyzer """
> t = np.arange(np.pi / 100, 10 * np.pi, np.pi / 100)
> fast = np.sin(50 * t) + 10
> slow = np.sin(10 * t) - 20
>
> fast_mean = np.mean(fast)
> slow_mean = np.mean(slow)
>
> fast_ts = ts.TimeSeries(data=fast, sampling_rate=np.pi)
> slow_ts = ts.TimeSeries(data=slow, sampling_rate=np.pi)
>
> #Make sure that the DC is preserved
> f_slow = nta.FilterAnalyzer(slow_ts, ub=0.6)
> f_fast = nta.FilterAnalyzer(fast_ts, lb=0.6)
>
> npt.assert_almost_equal(f_slow.filtered_fourier.data.mean(),
> slow_mean,
> decimal=2)
>
> npt.assert_almost_equal(f_slow.filtered_boxcar.data.mean(),
> slow_mean,
> decimal=2)
>
> npt.assert_almost_equal(f_slow.fir.data.mean(),
> slow_mean)
>
> npt.assert_almost_equal(f_slow.iir.data.mean(),
> slow_mean)
>
> npt.assert_almost_equal(f_fast.filtered_fourier.data.mean(),
> 10)
>
> npt.assert_almost_equal(f_fast.filtered_boxcar.data.mean(),
> 10,
> decimal=2)
>
> npt.assert_almost_equal(f_fast.fir.data.mean(),
> 10)
>
> npt.assert_almost_equal(f_fast.iir.data.mean(),
> 10)
>
> #Check that things work with a two-channel time-series:
> T2 = ts.TimeSeries(np.vstack([fast, slow]), sampling_rate=np.pi)
> f_both = nta.FilterAnalyzer(T2, ub=1.0, lb=0.1)
> #These are rather basic tests:
> npt.assert_equal(f_both.fir.shape, T2.shape)
> > npt.assert_equal(f_both.iir.shape, T2.shape)
>
> nitime/tests/test_analysis.py:270:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/spectral.py:434: in iir
> b, a = signal.iirdesign(wp, ws, self._gpass, self._gstop,
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> wp = array([0.06366198, 0.63661977]), ws = array([0. , 0.73661977])
> gpass = 1, gstop = 60, analog = False, ftype = 'ellip', output = 'ba', fs =
> None
>
> def iirdesign(wp, ws, gpass, gstop, analog=False, ftype='ellip',
> output='ba',
> fs=None):
> """Complete IIR digital and analog filter design.
>
> Given passband and stopband frequencies and gains, construct an
> analog or
> digital IIR filter of minimum order for a given basic type. Return the
> output in numerator, denominator ('ba'), pole-zero ('zpk') or second
> order
> sections ('sos') form.
>
> Parameters
> ----------
> wp, ws : float or array like, shape (2,)
> Passband and stopband edge frequencies. Possible values are
> scalars
> (for lowpass and highpass filters) or ranges (for bandpass and
> bandstop
> filters).
> For digital filters, these are in the same units as `fs`. By
> default,
> `fs` is 2 half-cycles/sample, so these are normalized from 0 to 1,
> where 1 is the Nyquist frequency. For example:
>
> - Lowpass: wp = 0.2, ws = 0.3
> - Highpass: wp = 0.3, ws = 0.2
> - Bandpass: wp = [0.2, 0.5], ws = [0.1, 0.6]
> - Bandstop: wp = [0.1, 0.6], ws = [0.2, 0.5]
>
> For analog filters, `wp` and `ws` are angular frequencies (e.g.,
> rad/s).
> Note, that for bandpass and bandstop filters passband must lie
> strictly
> inside stopband or vice versa.
> gpass : float
> The maximum loss in the passband (dB).
> gstop : float
> The minimum attenuation in the stopband (dB).
> analog : bool, optional
> When True, return an analog filter, otherwise a digital filter is
> returned.
> ftype : str, optional
> The type of IIR filter to design:
>
> - Butterworth : 'butter'
> - Chebyshev I : 'cheby1'
> - Chebyshev II : 'cheby2'
> - Cauer/elliptic: 'ellip'
> - Bessel/Thomson: 'bessel'
>
> output : {'ba', 'zpk', 'sos'}, optional
> Filter form of the output:
>
> - second-order sections (recommended): 'sos'
> - numerator/denominator (default) : 'ba'
> - pole-zero : 'zpk'
>
> In general the second-order sections ('sos') form is
> recommended because inferring the coefficients for the
> numerator/denominator form ('ba') suffers from numerical
> instabilities. For reasons of backward compatibility the default
> form is the numerator/denominator form ('ba'), where the 'b'
> and the 'a' in 'ba' refer to the commonly used names of the
> coefficients used.
>
> Note: Using the second-order sections form ('sos') is sometimes
> associated with additional computational costs: for
> data-intense use cases it is therefore recommended to also
> investigate the numerator/denominator form ('ba').
>
> fs : float, optional
> The sampling frequency of the digital system.
>
> .. versionadded:: 1.2.0
>
> Returns
> -------
> b, a : ndarray, ndarray
> Numerator (`b`) and denominator (`a`) polynomials of the IIR
> filter.
> Only returned if ``output='ba'``.
> z, p, k : ndarray, ndarray, float
> Zeros, poles, and system gain of the IIR filter transfer
> function. Only returned if ``output='zpk'``.
> sos : ndarray
> Second-order sections representation of the IIR filter.
> Only returned if ``output=='sos'``.
>
> See Also
> --------
> butter : Filter design using order and critical points
> cheby1, cheby2, ellip, bessel
> buttord : Find order and critical points from passband and stopband
> spec
> cheb1ord, cheb2ord, ellipord
> iirfilter : General filter design using order and critical frequencies
>
> Notes
> -----
> The ``'sos'`` output parameter was added in 0.16.0.
>
> Examples
> --------
>
> >>> from scipy import signal
> >>> import matplotlib.pyplot as plt
> >>> import matplotlib.ticker
>
> >>> wp = 0.2
> >>> ws = 0.3
> >>> gpass = 1
> >>> gstop = 40
>
> >>> system = signal.iirdesign(wp, ws, gpass, gstop)
> >>> w, h = signal.freqz(*system)
>
> >>> fig, ax1 = plt.subplots()
> >>> ax1.set_title('Digital filter frequency response')
> >>> ax1.plot(w, 20 * np.log10(abs(h)), 'b')
> >>> ax1.set_ylabel('Amplitude [dB]', color='b')
> >>> ax1.set_xlabel('Frequency [rad/sample]')
> >>> ax1.grid()
> >>> ax1.set_ylim([-120, 20])
> >>> ax2 = ax1.twinx()
> >>> angles = np.unwrap(np.angle(h))
> >>> ax2.plot(w, angles, 'g')
> >>> ax2.set_ylabel('Angle (radians)', color='g')
> >>> ax2.grid()
> >>> ax2.axis('tight')
> >>> ax2.set_ylim([-6, 1])
> >>> nticks = 8
> >>>
> ax1.yaxis.set_major_locator(matplotlib.ticker.LinearLocator(nticks))
> >>>
> ax2.yaxis.set_major_locator(matplotlib.ticker.LinearLocator(nticks))
>
> """
> try:
> ordfunc = filter_dict[ftype][1]
> except KeyError as e:
> raise ValueError("Invalid IIR filter type: %s" % ftype) from e
> except IndexError as e:
> raise ValueError(("%s does not have order selection. Use "
> "iirfilter function.") % ftype) from e
>
> _validate_gpass_gstop(gpass, gstop)
>
> wp = atleast_1d(wp)
> ws = atleast_1d(ws)
>
> if wp.shape[0] != ws.shape[0] or wp.shape not in [(1,), (2,)]:
> raise ValueError("wp and ws must have one or two elements each,
> and"
> "the same shape, got %s and %s"
> % (wp.shape, ws.shape))
>
> if any(wp <= 0) or any(ws <= 0):
> > raise ValueError("Values for wp, ws must be greater than 0")
> E ValueError: Values for wp, ws must be greater than 0
>
> /usr/lib/python3/dist-packages/scipy/signal/_filter_design.py:2295: ValueError
> =============================== warnings summary
> ===============================
> nitime/algorithms/event_related.py:13
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/event_related.py:13:
> DeprecationWarning: invalid escape sequence \h
> """
>
> nitime/algorithms/tests/test_coherence.py:206
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py:206:
> DeprecationWarning: invalid escape sequence \c
> """
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py: 30
> warnings
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py: 16
> warnings
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/cohere.py:1008:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py: 6
> warnings
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py: 7
> warnings
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/cohere.py:1224:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> Cxy = np.zeros((channels_i, channels_j, freqs), dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/cohere.py:1164:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> Phi_xy = np.zeros((channels_i, channels_j, freqs), dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py:73:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig1 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py:78:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig2 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_periodogram
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py:121:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_periodogram_csd
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py:146:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig1 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py::test_periodogram_csd
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/tests/test_spectral.py:150:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig2 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SparseCoherenceAnalyzer
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: invalid value encountered in true_divide
> delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: divide by zero encountered in true_divide
> delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/cohere.py:699:
> RuntimeWarning: divide by zero encountered in true_divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/cohere.py:699:
> RuntimeWarning: invalid value encountered in true_divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SparseCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:523:
> RuntimeWarning: invalid value encountered in true_divide
> return self.relative_phases / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:659:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self.frequencies.shape[0]), dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:656:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self.frequencies.shape[0]), dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:730:
> RuntimeWarning: invalid value encountered in true_divide
> return self.relative_phases / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/coherence.py:94:
> RuntimeWarning: In nitime.analysis, the provided input time-series is shorter
> than the requested NFFT + n_overlap. All coherence values will be set to 1.
> warnings.warn(e_s, RuntimeWarning)
>
> .pybuild/cpython3_3.9/build/nitime/analysis/tests/test_correlation.py::test_SeedCorrelationAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/analysis/correlation.py:150:
> DeprecationWarning: `np.float` is a deprecated alias for the builtin
> `float`. To silence this warning, use `float` by itself. Doing this will not
> modify any behavior and is safe. If you specifically wanted the numpy scalar
> type, use `np.float64` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self.target.data.shape[0]), dtype=np.float)
>
> .pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py: 10 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri/io.py:121:
> DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which
> has a more predictable return type. To obtain get_data() behavior going
> forward, use numpy.asanyarray(img.dataobj).
>
> * deprecated from version: 3.0
> * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of
> version: 5.0
> data = im.get_data()
>
> .pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri/io.py:91:
> DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which
> has a more predictable return type. To obtain get_data() behavior going
> forward, use numpy.asanyarray(img.dataobj).
>
> * deprecated from version: 3.0
> * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of
> version: 5.0
> data = im.get_data()
>
> .pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/fmri/tests/test_io.py:68:
> DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which
> has a more predictable return type. To obtain get_data() behavior going
> forward, use numpy.asanyarray(img.dataobj).
>
> * deprecated from version: 3.0
> * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of
> version: 5.0
> data = io.load(fmri_file1).get_data()
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py:27:
> DeprecationWarning: Please use `resample` from the `scipy.signal` namespace,
> the `scipy.signal.signaltools` namespace is deprecated.
> t_up = signaltools.resample(tst, 128)
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py:30:
> DeprecationWarning: Please use `resample` from the `scipy.signal` namespace,
> the `scipy.signal.signaltools` namespace is deprecated.
> t_dn = signaltools.resample(tst, 32)
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py:36:
> DeprecationWarning: Please use `resample` from the `scipy.signal` namespace,
> the `scipy.signal.signaltools` namespace is deprecated.
> t_dn2 = signaltools.resample(tst, 48)
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py::test_psd_matlab
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests/test_algorithms.py:148:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> ts0 = ts[1] + ts[0] * np.complex(0, 1)
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_analysis.py::test_MorletWaveletAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/wavelet.py:77:
> RuntimeWarning: divide by zero encountered in log
> wf = (2 * np.exp(-(np.log(f) - np.log(f0)) ** 2 / (2 * sfl ** 2)) *
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_analysis.py::test_MorletWaveletAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/algorithms/wavelet.py:77:
> RuntimeWarning: invalid value encountered in log
> wf = (2 * np.exp(-(np.log(f) - np.log(f0)) ** 2 / (2 * sfl ** 2)) *
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_lazy.py::test_lazy_noreload
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/tests/test_lazy.py:40:
> DeprecationWarning: the imp module is deprecated in favour of importlib; see
> the module's documentation for alternative uses
> import imp
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_viz.py::test_drawgraph_channels
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/nitime/viz.py:681:
> DeprecationWarning: adj_matrix is deprecated and will be removed in version
> 3.0.
> Use `adjacency_matrix` instead
>
> amat = nx.adj_matrix(G).A # get a normal array out of it
>
> .pybuild/cpython3_3.9/build/nitime/tests/test_viz.py: 45 warnings
> /usr/lib/python3/dist-packages/networkx/drawing/nx_pylab.py:717:
> MatplotlibDeprecationWarning: Passing *transOffset* without *offsets* has no
> effect. This behavior is deprecated since 3.5 and in 3.6, *transOffset* will
> begin having an effect regardless of *offsets*. In the meantime, if you wish
> to set *transOffset*, call collection.set_offset_transform(transOffset)
> explicitly.
> edge_collection = mpl.collections.LineCollection(
>
> -- Docs: https://docs.pytest.org/en/stable/warnings.html
> =========================== short test summary info
> ============================
> FAILED nitime/tests/test_analysis.py::test_FilterAnalyzer - ValueError:
> Value...
> =========== 1 failed, 121 passed, 1 skipped, 156 warnings in 30.14s
> ============
> E: pybuild pybuild:369: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build; python3.9 -m pytest
> I: pybuild base:239: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build;
> python3.10 -m pytest
> ============================= test session starts
> ==============================
> platform linux -- Python 3.10.5, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
> rootdir: /<<PKGBUILDDIR>>
> collected 123 items
>
> nitime/algorithms/tests/test_autoregressive.py ..... [
> 4%]
> nitime/algorithms/tests/test_coherence.py ..........s.... [
> 16%]
> nitime/algorithms/tests/test_correlation.py . [
> 17%]
> nitime/algorithms/tests/test_entropy.py ..... [
> 21%]
> nitime/algorithms/tests/test_event_related.py . [
> 21%]
> nitime/algorithms/tests/test_spectral.py ................ [
> 34%]
> nitime/analysis/tests/test_base.py . [
> 35%]
> nitime/analysis/tests/test_coherence.py ...... [
> 40%]
> nitime/analysis/tests/test_correlation.py . [
> 41%]
> nitime/analysis/tests/test_granger.py .. [
> 43%]
> nitime/analysis/tests/test_snr.py . [
> 43%]
> nitime/fmri/tests/test_io.py . [
> 44%]
> nitime/tests/test_algorithms.py ........ [
> 51%]
> nitime/tests/test_analysis.py ....F.. [
> 56%]
> nitime/tests/test_descriptors.py . [
> 57%]
> nitime/tests/test_lazy.py .. [
> 59%]
> nitime/tests/test_timeseries.py .................................... [
> 88%]
> nitime/tests/test_utils.py ........... [
> 97%]
> nitime/tests/test_viz.py ...
> [100%]
>
> =================================== FAILURES
> ===================================
> _____________________________ test_FilterAnalyzer
> ______________________________
>
> def test_FilterAnalyzer():
> """Testing the FilterAnalyzer """
> t = np.arange(np.pi / 100, 10 * np.pi, np.pi / 100)
> fast = np.sin(50 * t) + 10
> slow = np.sin(10 * t) - 20
>
> fast_mean = np.mean(fast)
> slow_mean = np.mean(slow)
>
> fast_ts = ts.TimeSeries(data=fast, sampling_rate=np.pi)
> slow_ts = ts.TimeSeries(data=slow, sampling_rate=np.pi)
>
> #Make sure that the DC is preserved
> f_slow = nta.FilterAnalyzer(slow_ts, ub=0.6)
> f_fast = nta.FilterAnalyzer(fast_ts, lb=0.6)
>
> npt.assert_almost_equal(f_slow.filtered_fourier.data.mean(),
> slow_mean,
> decimal=2)
>
> npt.assert_almost_equal(f_slow.filtered_boxcar.data.mean(),
> slow_mean,
> decimal=2)
>
> npt.assert_almost_equal(f_slow.fir.data.mean(),
> slow_mean)
>
> npt.assert_almost_equal(f_slow.iir.data.mean(),
> slow_mean)
>
> npt.assert_almost_equal(f_fast.filtered_fourier.data.mean(),
> 10)
>
> npt.assert_almost_equal(f_fast.filtered_boxcar.data.mean(),
> 10,
> decimal=2)
>
> npt.assert_almost_equal(f_fast.fir.data.mean(),
> 10)
>
> npt.assert_almost_equal(f_fast.iir.data.mean(),
> 10)
>
> #Check that things work with a two-channel time-series:
> T2 = ts.TimeSeries(np.vstack([fast, slow]), sampling_rate=np.pi)
> f_both = nta.FilterAnalyzer(T2, ub=1.0, lb=0.1)
> #These are rather basic tests:
> npt.assert_equal(f_both.fir.shape, T2.shape)
> > npt.assert_equal(f_both.iir.shape, T2.shape)
>
> nitime/tests/test_analysis.py:270:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/spectral.py:434: in iir
> b, a = signal.iirdesign(wp, ws, self._gpass, self._gstop,
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> wp = array([0.06366198, 0.63661977]), ws = array([0. , 0.73661977])
> gpass = 1, gstop = 60, analog = False, ftype = 'ellip', output = 'ba', fs =
> None
>
> def iirdesign(wp, ws, gpass, gstop, analog=False, ftype='ellip',
> output='ba',
> fs=None):
> """Complete IIR digital and analog filter design.
>
> Given passband and stopband frequencies and gains, construct an
> analog or
> digital IIR filter of minimum order for a given basic type. Return the
> output in numerator, denominator ('ba'), pole-zero ('zpk') or second
> order
> sections ('sos') form.
>
> Parameters
> ----------
> wp, ws : float or array like, shape (2,)
> Passband and stopband edge frequencies. Possible values are
> scalars
> (for lowpass and highpass filters) or ranges (for bandpass and
> bandstop
> filters).
> For digital filters, these are in the same units as `fs`. By
> default,
> `fs` is 2 half-cycles/sample, so these are normalized from 0 to 1,
> where 1 is the Nyquist frequency. For example:
>
> - Lowpass: wp = 0.2, ws = 0.3
> - Highpass: wp = 0.3, ws = 0.2
> - Bandpass: wp = [0.2, 0.5], ws = [0.1, 0.6]
> - Bandstop: wp = [0.1, 0.6], ws = [0.2, 0.5]
>
> For analog filters, `wp` and `ws` are angular frequencies (e.g.,
> rad/s).
> Note, that for bandpass and bandstop filters passband must lie
> strictly
> inside stopband or vice versa.
> gpass : float
> The maximum loss in the passband (dB).
> gstop : float
> The minimum attenuation in the stopband (dB).
> analog : bool, optional
> When True, return an analog filter, otherwise a digital filter is
> returned.
> ftype : str, optional
> The type of IIR filter to design:
>
> - Butterworth : 'butter'
> - Chebyshev I : 'cheby1'
> - Chebyshev II : 'cheby2'
> - Cauer/elliptic: 'ellip'
> - Bessel/Thomson: 'bessel'
>
> output : {'ba', 'zpk', 'sos'}, optional
> Filter form of the output:
>
> - second-order sections (recommended): 'sos'
> - numerator/denominator (default) : 'ba'
> - pole-zero : 'zpk'
>
> In general the second-order sections ('sos') form is
> recommended because inferring the coefficients for the
> numerator/denominator form ('ba') suffers from numerical
> instabilities. For reasons of backward compatibility the default
> form is the numerator/denominator form ('ba'), where the 'b'
> and the 'a' in 'ba' refer to the commonly used names of the
> coefficients used.
>
> Note: Using the second-order sections form ('sos') is sometimes
> associated with additional computational costs: for
> data-intense use cases it is therefore recommended to also
> investigate the numerator/denominator form ('ba').
>
> fs : float, optional
> The sampling frequency of the digital system.
>
> .. versionadded:: 1.2.0
>
> Returns
> -------
> b, a : ndarray, ndarray
> Numerator (`b`) and denominator (`a`) polynomials of the IIR
> filter.
> Only returned if ``output='ba'``.
> z, p, k : ndarray, ndarray, float
> Zeros, poles, and system gain of the IIR filter transfer
> function. Only returned if ``output='zpk'``.
> sos : ndarray
> Second-order sections representation of the IIR filter.
> Only returned if ``output=='sos'``.
>
> See Also
> --------
> butter : Filter design using order and critical points
> cheby1, cheby2, ellip, bessel
> buttord : Find order and critical points from passband and stopband
> spec
> cheb1ord, cheb2ord, ellipord
> iirfilter : General filter design using order and critical frequencies
>
> Notes
> -----
> The ``'sos'`` output parameter was added in 0.16.0.
>
> Examples
> --------
>
> >>> from scipy import signal
> >>> import matplotlib.pyplot as plt
> >>> import matplotlib.ticker
>
> >>> wp = 0.2
> >>> ws = 0.3
> >>> gpass = 1
> >>> gstop = 40
>
> >>> system = signal.iirdesign(wp, ws, gpass, gstop)
> >>> w, h = signal.freqz(*system)
>
> >>> fig, ax1 = plt.subplots()
> >>> ax1.set_title('Digital filter frequency response')
> >>> ax1.plot(w, 20 * np.log10(abs(h)), 'b')
> >>> ax1.set_ylabel('Amplitude [dB]', color='b')
> >>> ax1.set_xlabel('Frequency [rad/sample]')
> >>> ax1.grid()
> >>> ax1.set_ylim([-120, 20])
> >>> ax2 = ax1.twinx()
> >>> angles = np.unwrap(np.angle(h))
> >>> ax2.plot(w, angles, 'g')
> >>> ax2.set_ylabel('Angle (radians)', color='g')
> >>> ax2.grid()
> >>> ax2.axis('tight')
> >>> ax2.set_ylim([-6, 1])
> >>> nticks = 8
> >>>
> ax1.yaxis.set_major_locator(matplotlib.ticker.LinearLocator(nticks))
> >>>
> ax2.yaxis.set_major_locator(matplotlib.ticker.LinearLocator(nticks))
>
> """
> try:
> ordfunc = filter_dict[ftype][1]
> except KeyError as e:
> raise ValueError("Invalid IIR filter type: %s" % ftype) from e
> except IndexError as e:
> raise ValueError(("%s does not have order selection. Use "
> "iirfilter function.") % ftype) from e
>
> _validate_gpass_gstop(gpass, gstop)
>
> wp = atleast_1d(wp)
> ws = atleast_1d(ws)
>
> if wp.shape[0] != ws.shape[0] or wp.shape not in [(1,), (2,)]:
> raise ValueError("wp and ws must have one or two elements each,
> and"
> "the same shape, got %s and %s"
> % (wp.shape, ws.shape))
>
> if any(wp <= 0) or any(ws <= 0):
> > raise ValueError("Values for wp, ws must be greater than 0")
> E ValueError: Values for wp, ws must be greater than 0
>
> /usr/lib/python3/dist-packages/scipy/signal/_filter_design.py:2295: ValueError
> =============================== warnings summary
> ===============================
> nitime/algorithms/event_related.py:13
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/event_related.py:13:
> DeprecationWarning: invalid escape sequence '\h'
> """
>
> nitime/algorithms/tests/test_coherence.py:206
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py:206:
> DeprecationWarning: invalid escape sequence '\c'
> """
>
> ../../../../../../usr/lib/python3/dist-packages/nibabel/openers.py:16
> /usr/lib/python3/dist-packages/nibabel/openers.py:16: DeprecationWarning:
> The distutils package is deprecated and slated for removal in Python 3.12.
> Use setuptools or check PEP 632 for potential alternatives
> from distutils.version import StrictVersion
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py: 30
> warnings
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py: 16
> warnings
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/cohere.py:1008:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py: 6
> warnings
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py: 7
> warnings
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/cohere.py:1224:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> Cxy = np.zeros((channels_i, channels_j, freqs), dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/cohere.py:1164:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> Phi_xy = np.zeros((channels_i, channels_j, freqs), dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py:73:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig1 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py:78:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig2 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_periodogram
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py:121:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_periodogram_csd
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py:146:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig1 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py::test_periodogram_csd
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/tests/test_spectral.py:150:
> DeprecationWarning: scipy.sqrt is deprecated and will be removed in SciPy
> 2.0.0, use numpy.lib.scimath.sqrt instead
> arsig2 = r + c * scipy.sqrt(-1)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SparseCoherenceAnalyzer
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: invalid value encountered in true_divide
> delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: divide by zero encountered in true_divide
> delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/cohere.py:699:
> RuntimeWarning: divide by zero encountered in true_divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/cohere.py:699:
> RuntimeWarning: invalid value encountered in true_divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SparseCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:523:
> RuntimeWarning: invalid value encountered in true_divide
> return self.relative_phases / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:659:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self.frequencies.shape[0]), dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:656:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self.frequencies.shape[0]), dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:730:
> RuntimeWarning: invalid value encountered in true_divide
> return self.relative_phases / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:94:
> RuntimeWarning: In nitime.analysis, the provided input time-series is
> shorter than the requested NFFT + n_overlap. All coherence values will be set
> to 1.
> warnings.warn(e_s, RuntimeWarning)
>
> .pybuild/cpython3_3.10/build/nitime/analysis/tests/test_correlation.py::test_SeedCorrelationAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/correlation.py:150:
> DeprecationWarning: `np.float` is a deprecated alias for the builtin
> `float`. To silence this warning, use `float` by itself. Doing this will not
> modify any behavior and is safe. If you specifically wanted the numpy scalar
> type, use `np.float64` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self.target.data.shape[0]), dtype=np.float)
>
> .pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py: 10 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri/io.py:121:
> DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which
> has a more predictable return type. To obtain get_data() behavior going
> forward, use numpy.asanyarray(img.dataobj).
>
> * deprecated from version: 3.0
> * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of
> version: 5.0
> data = im.get_data()
>
> .pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri/io.py:91:
> DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which
> has a more predictable return type. To obtain get_data() behavior going
> forward, use numpy.asanyarray(img.dataobj).
>
> * deprecated from version: 3.0
> * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of
> version: 5.0
> data = im.get_data()
>
> .pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/fmri/tests/test_io.py:68:
> DeprecationWarning: get_data() is deprecated in favor of get_fdata(), which
> has a more predictable return type. To obtain get_data() behavior going
> forward, use numpy.asanyarray(img.dataobj).
>
> * deprecated from version: 3.0
> * Will raise <class 'nibabel.deprecator.ExpiredDeprecationError'> as of
> version: 5.0
> data = io.load(fmri_file1).get_data()
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py:27:
> DeprecationWarning: Please use `resample` from the `scipy.signal` namespace,
> the `scipy.signal.signaltools` namespace is deprecated.
> t_up = signaltools.resample(tst, 128)
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py:30:
> DeprecationWarning: Please use `resample` from the `scipy.signal` namespace,
> the `scipy.signal.signaltools` namespace is deprecated.
> t_dn = signaltools.resample(tst, 32)
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py:36:
> DeprecationWarning: Please use `resample` from the `scipy.signal` namespace,
> the `scipy.signal.signaltools` namespace is deprecated.
> t_dn2 = signaltools.resample(tst, 48)
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py::test_psd_matlab
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests/test_algorithms.py:148:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> ts0 = ts[1] + ts[0] * np.complex(0, 1)
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_analysis.py::test_MorletWaveletAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/wavelet.py:77:
> RuntimeWarning: divide by zero encountered in log
> wf = (2 * np.exp(-(np.log(f) - np.log(f0)) ** 2 / (2 * sfl ** 2)) *
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_analysis.py::test_MorletWaveletAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/algorithms/wavelet.py:77:
> RuntimeWarning: invalid value encountered in log
> wf = (2 * np.exp(-(np.log(f) - np.log(f0)) ** 2 / (2 * sfl ** 2)) *
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_lazy.py::test_lazy_noreload
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/tests/test_lazy.py:40:
> DeprecationWarning: the imp module is deprecated in favour of importlib and
> slated for removal in Python 3.12; see the module's documentation for
> alternative uses
> import imp
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_viz.py::test_drawgraph_channels
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/viz.py:681:
> DeprecationWarning: adj_matrix is deprecated and will be removed in version
> 3.0.
> Use `adjacency_matrix` instead
>
> amat = nx.adj_matrix(G).A # get a normal array out of it
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_viz.py: 45 warnings
> /usr/lib/python3/dist-packages/networkx/drawing/nx_pylab.py:717:
> MatplotlibDeprecationWarning: Passing *transOffset* without *offsets* has no
> effect. This behavior is deprecated since 3.5 and in 3.6, *transOffset* will
> begin having an effect regardless of *offsets*. In the meantime, if you wish
> to set *transOffset*, call collection.set_offset_transform(transOffset)
> explicitly.
> edge_collection = mpl.collections.LineCollection(
>
> -- Docs: https://docs.pytest.org/en/stable/warnings.html
> =========================== short test summary info
> ============================
> FAILED nitime/tests/test_analysis.py::test_FilterAnalyzer - ValueError:
> Value...
> =========== 1 failed, 121 passed, 1 skipped, 157 warnings in 31.85s
> ============
> E: pybuild pybuild:369: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build; python3.10 -m pytest
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.9
> 3.10" returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2022/06/24/nitime_0.9-2_unstable.log
All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20220624;users=lu...@debian.org
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20220624&fusertaguser=lu...@debian.org&allbugs=1&cseverity=1&ctags=1&caffected=1#results
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!
If you reassign this bug to another package, please marking it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects
If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.
--- End Message ---
