--- Begin Message ---
Source: nitime
Version: 0.9-4
Severity: serious
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lu...@debian.org
Usertags: ftbfs-20230120 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:240: python3.10 setup.py config
> I: pybuild base:240: python3.11 setup.py config
> dh_auto_build -O--buildsystem=pybuild
> I: pybuild base:240: /usr/bin/python3.10 setup.py build
> I: pybuild base:240: /usr/bin/python3 setup.py build
> dh_auto_test -O--buildsystem=pybuild
> I: pybuild base:240: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build;
> python3.10 -m pytest
> ============================= test session starts
> ==============================
> platform linux -- Python 3.10.9, pytest-7.2.1, pluggy-1.0.0+repack
> rootdir: /<<PKGBUILDDIR>>
> collected 123 items
>
> nitime/algorithms/tests/test_autoregressive.py ..... [
> 4%]
> nitime/algorithms/tests/test_coherence.py ........F.s.FFF [
> 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 .F..F. [
> 40%]
> nitime/analysis/tests/test_correlation.py F [
> 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 ......F. [
> 51%]
> nitime/tests/test_analysis.py ....... [
> 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_coherency_cached
> _____________________________
>
> def test_coherency_cached():
> """Tests that the cached coherency gives the same result as the
> standard
> coherency"""
>
> f1, c1 = tsa.coherency(tseries)
>
> ij = [(0, 1), (1, 0)]
> > f2, cache = tsa.cache_fft(tseries, ij)
>
> nitime/algorithms/tests/test_coherence.py:185:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> ____________________________ test_cached_coherence
> _____________________________
>
> @pytest.mark.skipif(old_mpl, reason="MPL version before 0.99")
> def test_cached_coherence():
> """Testing the cached coherence functions """
> NFFT = 64 # This is the default behavior
> n_freqs = NFFT // 2 + 1
> ij = [(0, 1), (1, 0)]
> ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt'))
> > freqs, cache = tsa.cache_fft(ts, ij)
>
> nitime/algorithms/tests/test_coherence.py:275:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _____________________________ test_cache_to_phase
> ______________________________
>
> def test_cache_to_phase():
> """
> Test phase calculations from cached windowed FFT
>
> """
> ij = [(0, 1), (1, 0)]
> x = np.sin(t) + np.sin(2 * t) + np.sin(3 * t) +
> np.random.rand(t.shape[-1])
> y = np.sin(t) + np.sin(2 * t) + np.sin(3 * t) +
> np.random.rand(t.shape[-1])
> ts = np.vstack([x, y])
> > freqs, cache = tsa.cache_fft(ts, ij)
>
> nitime/algorithms/tests/test_coherence.py:341:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> ___________________________ test_cache_to_coherency
> ____________________________
>
> def test_cache_to_coherency():
> """
>
> Test cache_to_coherency against the standard coherency calculation
>
> """
> ij = [(0, 1), (1, 0)]
> ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt'))
> > freqs, cache = tsa.cache_fft(ts, ij)
>
> nitime/algorithms/tests/test_coherence.py:353:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _________________________ test_SparseCoherenceAnalyzer
> _________________________
>
> @pytest.mark.skipif(old_mpl, reason="Old MPL")
> def test_SparseCoherenceAnalyzer():
> Fs = np.pi
> t = np.arange(256)
> x = np.sin(10 * t) + np.random.rand(t.shape[-1])
> y = np.sin(10 * t) + np.random.rand(t.shape[-1])
> T = ts.TimeSeries(np.vstack([x, y]), sampling_rate=Fs)
> C1 = nta.SparseCoherenceAnalyzer(T, ij=((0, 1), (1, 0)))
> C2 = nta.CoherenceAnalyzer(T)
>
> # Coherence symmetry:
> > npt.assert_almost_equal(np.abs(C1.coherence[0, 1]),
> np.abs(C1.coherence[1, 0]))
>
> nitime/analysis/tests/test_coherence.py:91:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:477: in coherence
> coherence = np.abs(self.coherency ** 2)
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:470: in coherency
> coherency = tsa.cache_to_coherency(self.cache, self.ij)
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:487: in cache
> f, cache = tsa.cache_fft(data,
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> __________________________ test_SeedCoherenceAnalyzer
> __________________________
>
> def test_SeedCoherenceAnalyzer():
> """ Test the SeedCoherenceAnalyzer """
> methods = (None,
> {"this_method": 'welch', "NFFT": 256},
> {"this_method": 'multi_taper_csd'},
> {"this_method": 'periodogram_csd', "NFFT": 256})
>
> Fs = np.pi
> t = np.arange(256)
> seed1 = np.sin(10 * t) + np.random.rand(t.shape[-1])
> seed2 = np.sin(10 * t) + np.random.rand(t.shape[-1])
> target = np.sin(10 * t) + np.random.rand(t.shape[-1])
> T = ts.TimeSeries(np.vstack([seed1, target]), sampling_rate=Fs)
> T_seed1 = ts.TimeSeries(seed1, sampling_rate=Fs)
> T_seed2 = ts.TimeSeries(np.vstack([seed1, seed2]), sampling_rate=Fs)
> T_target = ts.TimeSeries(np.vstack([seed1, target]), sampling_rate=Fs)
> for this_method in methods:
> if this_method is None or this_method['this_method'] == 'welch':
> C1 = nta.CoherenceAnalyzer(T, method=this_method)
> C2 = nta.SeedCoherenceAnalyzer(T_seed1, T_target,
> method=this_method)
> C3 = nta.SeedCoherenceAnalyzer(T_seed2, T_target,
> method=this_method)
>
> > npt.assert_almost_equal(C1.coherence[0, 1], C2.coherence[1])
>
> nitime/analysis/tests/test_coherence.py:184:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:616: in coherence
> return np.abs(self.coherency) ** 2
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:659: in coherency
> self.frequencies.shape[0]), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _________________________ test_SeedCorrelationAnalyzer
> _________________________
>
> def test_SeedCorrelationAnalyzer():
>
> targ = ts.TimeSeries(np.random.rand(10, 10), sampling_interval=1)
>
> # Test single source case
> seed = ts.TimeSeries(np.random.rand(10), sampling_interval=1)
> corr = nta.SeedCorrelationAnalyzer(seed, targ)
> our_coef_array = corr.corrcoef
> np_coef_array = np.array([np.corrcoef(seed.data, a)[0, 1] for a in
> targ.data])
>
> npt.assert_array_almost_equal(our_coef_array, np_coef_array)
>
> # Test multiple sources
> seed = ts.TimeSeries(np.random.rand(2, 10), sampling_interval=1)
> corr = nta.SeedCorrelationAnalyzer(seed, targ)
> > our_coef_array = corr.corrcoef
>
> nitime/analysis/tests/test_correlation.py:23:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/correlation.py:150: in corrcoef
> self.target.data.shape[0]), dtype=np.float)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'float'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'float'. Did you
> mean: 'cfloat'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _______________________________ test_psd_matlab
> ________________________________
>
> def test_psd_matlab():
>
> """ Test the results of mlab csd/psd against saved results from
> Matlab"""
>
> from matplotlib import mlab
>
> test_dir_path = os.path.join(nitime.__path__[0], 'tests')
>
> ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt'))
>
> #Complex signal!
> > ts0 = ts[1] + ts[0] * np.complex(0, 1)
>
> nitime/tests/test_algorithms.py:148:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'. Did you
> mean: 'complex_'?
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> =============================== 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'
> """
>
> .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
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: invalid value encountered in 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 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 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 divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .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_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::test_drawgraph_channels
> /usr/lib/python3/dist-packages/networkx/linalg/graphmatrix.py:187:
> FutureWarning: adjacency_matrix will return a scipy.sparse array instead of a
> matrix in Networkx 3.0.
> return adjacency_matrix(G, nodelist, dtype, weight)
>
> .pybuild/cpython3_3.10/build/nitime/tests/test_viz.py::test_drawgraph_channels
> /usr/lib/python3/dist-packages/networkx/linalg/graphmatrix.py:173:
> DeprecationWarning:
>
> The scipy.sparse array containers will be used instead of matrices
> in Networkx 3.0. Use `to_scipy_sparse_array` instead.
> return nx.to_scipy_sparse_matrix(G, nodelist=nodelist, dtype=dtype,
> weight=weight)
>
> -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
> =========================== short test summary info
> ============================
> FAILED nitime/algorithms/tests/test_coherence.py::test_coherency_cached -
> Att...
> FAILED nitime/algorithms/tests/test_coherence.py::test_cached_coherence -
> Att...
> FAILED nitime/algorithms/tests/test_coherence.py::test_cache_to_phase -
> Attri...
> FAILED nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency -
> A...
> FAILED nitime/analysis/tests/test_coherence.py::test_SparseCoherenceAnalyzer
> FAILED nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer -
> ...
> FAILED nitime/analysis/tests/test_correlation.py::test_SeedCorrelationAnalyzer
> FAILED nitime/tests/test_algorithms.py::test_psd_matlab - AttributeError:
> mod...
> ============ 8 failed, 114 passed, 1 skipped, 39 warnings in 32.57s
> ============
> E: pybuild pybuild:388: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build; python3.10 -m pytest
> I: pybuild base:240: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build;
> python3.11 -m pytest
> ============================= test session starts
> ==============================
> platform linux -- Python 3.11.1, pytest-7.2.1, pluggy-1.0.0+repack
> rootdir: /<<PKGBUILDDIR>>
> collected 123 items
>
> nitime/algorithms/tests/test_autoregressive.py ..... [
> 4%]
> nitime/algorithms/tests/test_coherence.py ........F.s.FFF [
> 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 .F..F. [
> 40%]
> nitime/analysis/tests/test_correlation.py F [
> 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 ......F. [
> 51%]
> nitime/tests/test_analysis.py ....... [
> 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_coherency_cached
> _____________________________
>
> def test_coherency_cached():
> """Tests that the cached coherency gives the same result as the
> standard
> coherency"""
>
> f1, c1 = tsa.coherency(tseries)
>
> ij = [(0, 1), (1, 0)]
> > f2, cache = tsa.cache_fft(tseries, ij)
>
> nitime/algorithms/tests/test_coherence.py:185:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> ____________________________ test_cached_coherence
> _____________________________
>
> @pytest.mark.skipif(old_mpl, reason="MPL version before 0.99")
> def test_cached_coherence():
> """Testing the cached coherence functions """
> NFFT = 64 # This is the default behavior
> n_freqs = NFFT // 2 + 1
> ij = [(0, 1), (1, 0)]
> ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt'))
> > freqs, cache = tsa.cache_fft(ts, ij)
>
> nitime/algorithms/tests/test_coherence.py:275:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _____________________________ test_cache_to_phase
> ______________________________
>
> def test_cache_to_phase():
> """
> Test phase calculations from cached windowed FFT
>
> """
> ij = [(0, 1), (1, 0)]
> x = np.sin(t) + np.sin(2 * t) + np.sin(3 * t) +
> np.random.rand(t.shape[-1])
> y = np.sin(t) + np.sin(2 * t) + np.sin(3 * t) +
> np.random.rand(t.shape[-1])
> ts = np.vstack([x, y])
> > freqs, cache = tsa.cache_fft(ts, ij)
>
> nitime/algorithms/tests/test_coherence.py:341:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> ___________________________ test_cache_to_coherency
> ____________________________
>
> def test_cache_to_coherency():
> """
>
> Test cache_to_coherency against the standard coherency calculation
>
> """
> ij = [(0, 1), (1, 0)]
> ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt'))
> > freqs, cache = tsa.cache_fft(ts, ij)
>
> nitime/algorithms/tests/test_coherence.py:353:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _________________________ test_SparseCoherenceAnalyzer
> _________________________
>
> @pytest.mark.skipif(old_mpl, reason="Old MPL")
> def test_SparseCoherenceAnalyzer():
> Fs = np.pi
> t = np.arange(256)
> x = np.sin(10 * t) + np.random.rand(t.shape[-1])
> y = np.sin(10 * t) + np.random.rand(t.shape[-1])
> T = ts.TimeSeries(np.vstack([x, y]), sampling_rate=Fs)
> C1 = nta.SparseCoherenceAnalyzer(T, ij=((0, 1), (1, 0)))
> C2 = nta.CoherenceAnalyzer(T)
>
> # Coherence symmetry:
> > npt.assert_almost_equal(np.abs(C1.coherence[0, 1]),
> np.abs(C1.coherence[1, 0]))
>
> nitime/analysis/tests/test_coherence.py:91:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:477: in coherence
> coherence = np.abs(self.coherency ** 2)
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:470: in coherency
> coherency = tsa.cache_to_coherency(self.cache, self.ij)
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:487: in cache
> f, cache = tsa.cache_fft(data,
> nitime/algorithms/cohere.py:1008: in cache_fft
> Slices = np.zeros((n_slices, n_freqs), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> __________________________ test_SeedCoherenceAnalyzer
> __________________________
>
> def test_SeedCoherenceAnalyzer():
> """ Test the SeedCoherenceAnalyzer """
> methods = (None,
> {"this_method": 'welch', "NFFT": 256},
> {"this_method": 'multi_taper_csd'},
> {"this_method": 'periodogram_csd', "NFFT": 256})
>
> Fs = np.pi
> t = np.arange(256)
> seed1 = np.sin(10 * t) + np.random.rand(t.shape[-1])
> seed2 = np.sin(10 * t) + np.random.rand(t.shape[-1])
> target = np.sin(10 * t) + np.random.rand(t.shape[-1])
> T = ts.TimeSeries(np.vstack([seed1, target]), sampling_rate=Fs)
> T_seed1 = ts.TimeSeries(seed1, sampling_rate=Fs)
> T_seed2 = ts.TimeSeries(np.vstack([seed1, seed2]), sampling_rate=Fs)
> T_target = ts.TimeSeries(np.vstack([seed1, target]), sampling_rate=Fs)
> for this_method in methods:
> if this_method is None or this_method['this_method'] == 'welch':
> C1 = nta.CoherenceAnalyzer(T, method=this_method)
> C2 = nta.SeedCoherenceAnalyzer(T_seed1, T_target,
> method=this_method)
> C3 = nta.SeedCoherenceAnalyzer(T_seed2, T_target,
> method=this_method)
>
> > npt.assert_almost_equal(C1.coherence[0, 1], C2.coherence[1])
>
> nitime/analysis/tests/test_coherence.py:184:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:616: in coherence
> return np.abs(self.coherency) ** 2
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/coherence.py:659: in coherency
> self.frequencies.shape[0]), dtype=np.complex)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _________________________ test_SeedCorrelationAnalyzer
> _________________________
>
> def test_SeedCorrelationAnalyzer():
>
> targ = ts.TimeSeries(np.random.rand(10, 10), sampling_interval=1)
>
> # Test single source case
> seed = ts.TimeSeries(np.random.rand(10), sampling_interval=1)
> corr = nta.SeedCorrelationAnalyzer(seed, targ)
> our_coef_array = corr.corrcoef
> np_coef_array = np.array([np.corrcoef(seed.data, a)[0, 1] for a in
> targ.data])
>
> npt.assert_array_almost_equal(our_coef_array, np_coef_array)
>
> # Test multiple sources
> seed = ts.TimeSeries(np.random.rand(2, 10), sampling_interval=1)
> corr = nta.SeedCorrelationAnalyzer(seed, targ)
> > our_coef_array = corr.corrcoef
>
> nitime/analysis/tests/test_correlation.py:23:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> nitime/descriptors.py:140: in __get__
> val = self.getter(obj)
> nitime/analysis/correlation.py:150: in corrcoef
> self.target.data.shape[0]), dtype=np.float)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'float'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'float'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> _______________________________ test_psd_matlab
> ________________________________
>
> def test_psd_matlab():
>
> """ Test the results of mlab csd/psd against saved results from
> Matlab"""
>
> from matplotlib import mlab
>
> test_dir_path = os.path.join(nitime.__path__[0], 'tests')
>
> ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt'))
>
> #Complex signal!
> > ts0 = ts[1] + ts[0] * np.complex(0, 1)
>
> nitime/tests/test_algorithms.py:148:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> attr = 'complex'
>
> def __getattr__(attr):
> # Warn for expired attributes, and return a dummy function
> # that always raises an exception.
> import warnings
> try:
> msg = __expired_functions__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
>
> def _expired(*args, **kwds):
> raise RuntimeError(msg)
>
> return _expired
>
> # Emit warnings for deprecated attributes
> try:
> val, msg = __deprecated_attrs__[attr]
> except KeyError:
> pass
> else:
> warnings.warn(msg, DeprecationWarning, stacklevel=2)
> return val
>
> if attr in __future_scalars__:
> # And future warnings for those that will change, but also give
> # the AttributeError
> warnings.warn(
> f"In the future `np.{attr}` will be defined as the "
> "corresponding NumPy scalar. (This may have returned Python "
> "scalars in past versions.", FutureWarning, stacklevel=2)
>
> # Importing Tester requires importing all of UnitTest which is not a
> # cheap import Since it is mainly used in test suits, we lazy import
> it
> # here to save on the order of 10 ms of import time for most users
> #
> # The previous way Tester was imported also had a side effect of
> adding
> # the full `numpy.testing` namespace
> if attr == 'testing':
> import numpy.testing as testing
> return testing
> elif attr == 'Tester':
> from .testing import Tester
> return Tester
>
> > raise AttributeError("module {!r} has no attribute "
> "{!r}".format(__name__, attr))
> E AttributeError: module 'numpy' has no attribute 'complex'
>
> /usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
> =============================== warnings summary
> ===============================
> nitime/algorithms/event_related.py:13
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/nitime/algorithms/event_related.py:13:
> DeprecationWarning: invalid escape sequence '\h'
> """
>
> nitime/algorithms/tests/test_coherence.py:206
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/nitime/algorithms/tests/test_coherence.py:206:
> DeprecationWarning: invalid escape sequence '\c'
> """
>
> .pybuild/cpython3_3.11/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.11/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.11/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.11/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
> .pybuild/cpython3_3.11/build/nitime/algorithms/tests/test_spectral.py::test_get_spectra_complex
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/algorithms/tests/test_spectral.py::test_periodogram
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/algorithms/tests/test_spectral.py::test_periodogram_csd
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/algorithms/tests/test_spectral.py::test_periodogram_csd
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: invalid value encountered in divide
> delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.11/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/nitime/analysis/coherence.py:200:
> RuntimeWarning: divide by zero encountered in divide
> delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
>
> .pybuild/cpython3_3.11/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/nitime/algorithms/cohere.py:699:
> RuntimeWarning: divide by zero encountered in divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .pybuild/cpython3_3.11/build/nitime/analysis/tests/test_coherence.py::test_CoherenceAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build/nitime/algorithms/cohere.py:699:
> RuntimeWarning: invalid value encountered in divide
> return (((np.abs(Rxy - Rxr * Rry)) ** 2) /
>
> .pybuild/cpython3_3.11/build/nitime/fmri/tests/test_io.py: 10 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.11/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.11/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> .pybuild/cpython3_3.11/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/fmri/tests/test_io.py::test_time_series_from_file
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_algorithms.py::test_scipy_resample
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_analysis.py::test_MorletWaveletAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_analysis.py::test_MorletWaveletAnalyzer
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_lazy.py::test_lazy_noreload
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_viz.py::test_drawgraph_channels
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/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_3.11/build/nitime/tests/test_viz.py::test_drawgraph_channels
> /usr/lib/python3/dist-packages/networkx/linalg/graphmatrix.py:187:
> FutureWarning: adjacency_matrix will return a scipy.sparse array instead of a
> matrix in Networkx 3.0.
> return adjacency_matrix(G, nodelist, dtype, weight)
>
> .pybuild/cpython3_3.11/build/nitime/tests/test_viz.py::test_drawgraph_channels
> /usr/lib/python3/dist-packages/networkx/linalg/graphmatrix.py:173:
> DeprecationWarning:
>
> The scipy.sparse array containers will be used instead of matrices
> in Networkx 3.0. Use `to_scipy_sparse_array` instead.
> return nx.to_scipy_sparse_matrix(G, nodelist=nodelist, dtype=dtype,
> weight=weight)
>
> -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
> =========================== short test summary info
> ============================
> FAILED nitime/algorithms/tests/test_coherence.py::test_coherency_cached -
> Att...
> FAILED nitime/algorithms/tests/test_coherence.py::test_cached_coherence -
> Att...
> FAILED nitime/algorithms/tests/test_coherence.py::test_cache_to_phase -
> Attri...
> FAILED nitime/algorithms/tests/test_coherence.py::test_cache_to_coherency -
> A...
> FAILED nitime/analysis/tests/test_coherence.py::test_SparseCoherenceAnalyzer
> FAILED nitime/analysis/tests/test_coherence.py::test_SeedCoherenceAnalyzer -
> ...
> FAILED nitime/analysis/tests/test_correlation.py::test_SeedCorrelationAnalyzer
> FAILED nitime/tests/test_algorithms.py::test_psd_matlab - AttributeError:
> mod...
> ============ 8 failed, 114 passed, 1 skipped, 39 warnings in 30.81s
> ============
> E: pybuild pybuild:388: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11/build; python3.11 -m pytest
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.10
> 3.11" returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2023/01/20/nitime_0.9-4_unstable.log
All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20230120;users=lu...@debian.org
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20230120&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 mark 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 ---
