Package: src:python-hmmlearn
Version: 0.3.0-5
Severity: serious
Tags: ftbfs
Dear maintainer:
During a rebuild of all packages in unstable, your package failed to build:
--------------------------------------------------------------------------------
[...]
debian/rules binary
dh binary --buildsystem=pybuild
dh_update_autotools_config -O--buildsystem=pybuild
dh_autoreconf -O--buildsystem=pybuild
dh_auto_configure -O--buildsystem=pybuild
dh_auto_build -O--buildsystem=pybuild
I: pybuild plugin_pyproject:129: Building wheel for python3.12 with "build"
module
I: pybuild base:311: python3.12 -m build --skip-dependency-check --no-isolation --wheel
--outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_hmmlearn
* Building wheel...
WARNING setuptools_scm.pyproject_reading toml section missing 'pyproject.toml
does not contain a tool.setuptools_scm section'
Traceback (most recent call last):
File
"/usr/lib/python3/dist-packages/setuptools_scm/_integration/pyproject_reading.py",
line 36, in read_pyproject
section = defn.get("tool", {})[tool_name]
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
[... snipped ...]
[-1.23521059],
[ 2.96221347],
[-2.4055287 ]])
def _fit_scaling(self, X):
frameprob = self._compute_subnorm_likelihood(X)
logprob, fwdlattice, scaling_factors = _hmmc.forward_scaling(
self.startprob_subnorm_, self.transmat_subnorm_, frameprob)
E RuntimeError: pybind11::handle::inc_ref() PyGILState_Check() failure.
hmmlearn/base.py:1080: RuntimeError
----------------------------- Captured stderr call -----------------------------
pybind11::handle::inc_ref() is being called while the GIL is either not held or
invalid. Please see
https://pybind11.readthedocs.io/en/stable/advanced/misc.html#common-sources-of-global-interpreter-lock-errors
for debugging advice.
If you are convinced there is no bug in your code, you can #define
PYBIND11_NO_ASSERT_GIL_HELD_INCREF_DECREF to disable this check. In that case
you have to ensure this #define is consistently used for all translation units
linked into a given pybind11 extension, otherwise there will be ODR violations.
The failing pybind11::handle::inc_ref() call was triggered on a numpy.ndarray
object.
_________________ TestDiagonal.test_common_initialization[log] _________________
self = <hmmlearn.tests.test_variational_gaussian.TestDiagonal object at
0x7f77ab8d3980>
implementation = 'log'
@pytest.mark.parametrize("implementation", ["scaling", "log"])
def test_common_initialization(self, implementation):
sequences, lengths = get_sequences(50, 10,
model=get_mcgrory_titterington())
with pytest.raises(ValueError):
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9,
covariance_type="incorrect",
implementation=implementation)
assert_log_likelihood_increasing(model, sequences, lengths, 10)
with pytest.raises(ValueError):
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9,
covariance_type="incorrect",
init_params="",
implementation=implementation)
model.startprob_= np.asarray([.25, .25, .25, .25])
model.score(sequences, lengths)
# Manually setup means - should converge
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9, init_params="stc",
covariance_type=self.covariance_type,
implementation=implementation)
model.means_prior_ = [[1], [1], [1], [1]]
model.means_posterior_ = [[2], [1], [3], [4]]
model.beta_prior_ = [1, 1, 1, 1]
model.beta_posterior_ = [1, 1, 1, 1]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
hmmlearn/tests/test_variational_gaussian.py:123:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hmmlearn/tests/__init__.py:46: in assert_log_likelihood_increasing
h.fit(X, lengths=lengths)
hmmlearn/base.py:473: in fit
stats, curr_logprob = self._do_estep(X, lengths)
hmmlearn/base.py:750: in _do_estep
lattice, logprob, posteriors, fwdlattice, bwdlattice = impl(sub_X)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = VariationalGaussianHMM(covariance_type='diag', init_params='',
n_components=4,
n_iter=1, tol=1e-09)
X = array([[-1.00900958],
[ 1.83548612],
[-1.18687723],
[ 1.39357219],
[ 2.31529054],
[...120186],
[-0.59813352],
[ 1.09476375],
[ 2.7001891 ],
[ 0.25515909],
[-1.58409402]])
def _fit_log(self, X):
framelogprob = self._compute_subnorm_log_likelihood(X)
logprob, fwdlattice = _hmmc.forward_log(
self.startprob_subnorm_, self.transmat_subnorm_, framelogprob)
E RuntimeError: pybind11::handle::inc_ref() PyGILState_Check() failure.
hmmlearn/base.py:1091: RuntimeError
----------------------------- Captured stderr call -----------------------------
pybind11::handle::inc_ref() is being called while the GIL is either not held or
invalid. Please see
https://pybind11.readthedocs.io/en/stable/advanced/misc.html#common-sources-of-global-interpreter-lock-errors
for debugging advice.
If you are convinced there is no bug in your code, you can #define
PYBIND11_NO_ASSERT_GIL_HELD_INCREF_DECREF to disable this check. In that case
you have to ensure this #define is consistently used for all translation units
linked into a given pybind11 extension, otherwise there will be ODR violations.
The failing pybind11::handle::inc_ref() call was triggered on a numpy.ndarray
object.
__________________ TestDiagonal.test_initialization[scaling] ___________________
self = <hmmlearn.tests.test_variational_gaussian.TestDiagonal object at
0x7f77ab8d22d0>
implementation = 'scaling'
@pytest.mark.parametrize("implementation", ["scaling", "log"])
def test_initialization(self, implementation):
random_state = check_random_state(234234)
sequences, lengths = get_sequences(
50, 10, model=get_mcgrory_titterington())
# dof's have wrong shape
with pytest.raises(ValueError):
model = self.new_for_init(implementation)
model.dof_prior_ = [1, 1, 1]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
with pytest.raises(ValueError):
model = self.new_for_init(implementation)
model.dof_posterior_ = [1, 1, 1]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
# scales's have wrong shape
with pytest.raises(ValueError):
model = self.new_for_init(implementation)
model.scale_prior_ = [[2], [2], [2]]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
with pytest.raises(ValueError):
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9, init_params="stm",
covariance_type=self.covariance_type,
implementation=implementation)
model.dof_prior_ = [1, 1, 1, 1]
model.dof_posterior_ = [1, 1, 1, 1]
model.scale_prior_ = [[2], [2], [2], [2]]
model.scale_posterior_ = [[2, 2, 2]] # this is wrong
assert_log_likelihood_increasing(model, sequences, lengths, 10)
# Set priors correctly via params
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9, random_state=random_state,
covariance_type=self.covariance_type,
implementation=implementation,
means_prior=[[0.], [0.], [0.], [0.]],
beta_prior=[2., 2., 2., 2.],
dof_prior=[2., 2., 2., 2.],
scale_prior=[[2], [2], [2], [2]]
)
assert_log_likelihood_increasing(model, sequences, lengths, 10)
hmmlearn/tests/test_variational_gaussian.py:486:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hmmlearn/tests/__init__.py:46: in assert_log_likelihood_increasing
h.fit(X, lengths=lengths)
hmmlearn/base.py:473: in fit
stats, curr_logprob = self._do_estep(X, lengths)
hmmlearn/base.py:750: in _do_estep
lattice, logprob, posteriors, fwdlattice, bwdlattice = impl(sub_X)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = VariationalGaussianHMM(beta_prior=[2.0, 2.0, 2.0, 2.0],
covariance_type='diag',
dof_prior=[2.0,...andom_state=RandomState(MT19937) at
0x7F77AB814240,
scale_prior=[[2], [2], [2], [2]], tol=1e-09)
X = array([[ 0.37725899],
[ 3.11738285],
[-0.09163979],
[ 1.69939899],
[ 1.17211122],
[...975532],
[-1.29219785],
[-2.21400016],
[-0.12401679],
[ 3.5650227 ],
[-0.33847644]])
def _fit_scaling(self, X):
frameprob = self._compute_subnorm_likelihood(X)
logprob, fwdlattice, scaling_factors = _hmmc.forward_scaling(
self.startprob_subnorm_, self.transmat_subnorm_, frameprob)
E RuntimeError: pybind11::handle::inc_ref() PyGILState_Check() failure.
hmmlearn/base.py:1080: RuntimeError
----------------------------- Captured stderr call -----------------------------
pybind11::handle::inc_ref() is being called while the GIL is either not held or
invalid. Please see
https://pybind11.readthedocs.io/en/stable/advanced/misc.html#common-sources-of-global-interpreter-lock-errors
for debugging advice.
If you are convinced there is no bug in your code, you can #define
PYBIND11_NO_ASSERT_GIL_HELD_INCREF_DECREF to disable this check. In that case
you have to ensure this #define is consistently used for all translation units
linked into a given pybind11 extension, otherwise there will be ODR violations.
The failing pybind11::handle::inc_ref() call was triggered on a numpy.ndarray
object.
____________________ TestDiagonal.test_initialization[log] _____________________
self = <hmmlearn.tests.test_variational_gaussian.TestDiagonal object at
0x7f77ab8d03e0>
implementation = 'log'
@pytest.mark.parametrize("implementation", ["scaling", "log"])
def test_initialization(self, implementation):
random_state = check_random_state(234234)
sequences, lengths = get_sequences(
50, 10, model=get_mcgrory_titterington())
# dof's have wrong shape
with pytest.raises(ValueError):
model = self.new_for_init(implementation)
model.dof_prior_ = [1, 1, 1]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
with pytest.raises(ValueError):
model = self.new_for_init(implementation)
model.dof_posterior_ = [1, 1, 1]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
# scales's have wrong shape
with pytest.raises(ValueError):
model = self.new_for_init(implementation)
model.scale_prior_ = [[2], [2], [2]]
assert_log_likelihood_increasing(model, sequences, lengths, 10)
with pytest.raises(ValueError):
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9, init_params="stm",
covariance_type=self.covariance_type,
implementation=implementation)
model.dof_prior_ = [1, 1, 1, 1]
model.dof_posterior_ = [1, 1, 1, 1]
model.scale_prior_ = [[2], [2], [2], [2]]
model.scale_posterior_ = [[2, 2, 2]] # this is wrong
assert_log_likelihood_increasing(model, sequences, lengths, 10)
# Set priors correctly via params
model = vhmm.VariationalGaussianHMM(
4, n_iter=500, tol=1e-9, random_state=random_state,
covariance_type=self.covariance_type,
implementation=implementation,
means_prior=[[0.], [0.], [0.], [0.]],
beta_prior=[2., 2., 2., 2.],
dof_prior=[2., 2., 2., 2.],
scale_prior=[[2], [2], [2], [2]]
)
assert_log_likelihood_increasing(model, sequences, lengths, 10)
hmmlearn/tests/test_variational_gaussian.py:486:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
hmmlearn/tests/__init__.py:46: in assert_log_likelihood_increasing
h.fit(X, lengths=lengths)
hmmlearn/base.py:473: in fit
stats, curr_logprob = self._do_estep(X, lengths)
hmmlearn/base.py:750: in _do_estep
lattice, logprob, posteriors, fwdlattice, bwdlattice = impl(sub_X)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = VariationalGaussianHMM(beta_prior=[2.0, 2.0, 2.0, 2.0],
covariance_type='diag',
dof_prior=[2.0,...andom_state=RandomState(MT19937) at
0x7F77AB881740,
scale_prior=[[2], [2], [2], [2]], tol=1e-09)
X = array([[-1.50974603],
[ 0.66501942],
[ 1.03376567],
[-0.33821964],
[-0.03369866],
[...945696],
[ 1.03948035],
[ 3.29548267],
[-1.67415189],
[-0.95330419],
[ 2.79920426]])
def _fit_log(self, X):
framelogprob = self._compute_subnorm_log_likelihood(X)
logprob, fwdlattice = _hmmc.forward_log(
self.startprob_subnorm_, self.transmat_subnorm_, framelogprob)
E RuntimeError: pybind11::handle::inc_ref() PyGILState_Check() failure.
hmmlearn/base.py:1091: RuntimeError
----------------------------- Captured stderr call -----------------------------
pybind11::handle::inc_ref() is being called while the GIL is either not held or
invalid. Please see
https://pybind11.readthedocs.io/en/stable/advanced/misc.html#common-sources-of-global-interpreter-lock-errors
for debugging advice.
If you are convinced there is no bug in your code, you can #define
PYBIND11_NO_ASSERT_GIL_HELD_INCREF_DECREF to disable this check. In that case
you have to ensure this #define is consistently used for all translation units
linked into a given pybind11 extension, otherwise there will be ODR violations.
The failing pybind11::handle::inc_ref() call was triggered on a numpy.ndarray
object.
=============================== warnings summary ===============================
.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/tests/test_variational_categorical.py:
9 warnings
.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/tests/test_variational_gaussian.py:
15 warnings
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/base.py:1192:
RuntimeWarning: underflow encountered in exp
self.startprob_subnorm_ = np.exp(startprob_log_subnorm)
.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/tests/test_variational_categorical.py:
7 warnings
.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/tests/test_variational_gaussian.py:
13 warnings
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/base.py:1197:
RuntimeWarning: underflow encountered in exp
self.transmat_subnorm_ = np.exp(transmat_log_subnorm)
.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_beal[scaling]
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_hmmlearn/build/hmmlearn/base.py:1130:
RuntimeWarning: underflow encountered in exp
return np.exp(self._compute_subnorm_log_likelihood(X))
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED
hmmlearn/tests/test_base.py::TestBaseAgainstWikipedia::test_do_forward_scaling_pass
FAILED
hmmlearn/tests/test_base.py::TestBaseAgainstWikipedia::test_do_forward_pass
FAILED
hmmlearn/tests/test_base.py::TestBaseAgainstWikipedia::test_do_backward_scaling_pass
FAILED
hmmlearn/tests/test_base.py::TestBaseAgainstWikipedia::test_do_viterbi_pass
FAILED hmmlearn/tests/test_base.py::TestBaseAgainstWikipedia::test_score_samples
FAILED
hmmlearn/tests/test_base.py::TestBaseConsistentWithGMM::test_score_samples
FAILED hmmlearn/tests/test_base.py::TestBaseConsistentWithGMM::test_decode - ...
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalAgainstWikipedia::test_decode_viterbi[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalAgainstWikipedia::test_decode_viterbi[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalAgainstWikipedia::test_decode_map[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalAgainstWikipedia::test_decode_map[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalAgainstWikipedia::test_predict[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalAgainstWikipedia::test_predict[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_n_features[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_n_features[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_score_samples[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_score_samples[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_fit[scaling]
FAILED hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_fit[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_fit_emissionprob[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_fit_emissionprob[log]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_fit_with_init[scaling]
FAILED
hmmlearn/tests/test_categorical_hmm.py::TestCategoricalHMM::test_fit_with_init[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_ignored_init_warns[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_ignored_init_warns[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_sequences_of_different_length[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_sequences_of_different_length[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_with_length_one_signal[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_with_length_one_signal[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_zero_variance[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_zero_variance[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_with_priors[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_with_priors[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_startprob_and_transmat[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_fit_startprob_and_transmat[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithSphericalCovars::test_underflow_from_scaling[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_ignored_init_warns[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_ignored_init_warns[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_sequences_of_different_length[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_sequences_of_different_length[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_with_length_one_signal[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_with_length_one_signal[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_zero_variance[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_zero_variance[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_with_priors[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_with_priors[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_left_right[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithDiagonalCovars::test_fit_left_right[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_ignored_init_warns[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_ignored_init_warns[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_sequences_of_different_length[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_sequences_of_different_length[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_with_length_one_signal[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_with_length_one_signal[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_zero_variance[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_zero_variance[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_with_priors[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithTiedCovars::test_fit_with_priors[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_ignored_init_warns[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_ignored_init_warns[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_sequences_of_different_length[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_sequences_of_different_length[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_with_length_one_signal[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_with_length_one_signal[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_zero_variance[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_zero_variance[log]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_with_priors[scaling]
FAILED
hmmlearn/tests/test_gaussian_hmm.py::TestGaussianHMMWithFullCovars::test_fit_with_priors[log]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[scaling-diag]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[scaling-spherical]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[scaling-tied]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[scaling-full]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[log-diag]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[log-spherical]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[log-tied]
FAILED
hmmlearn/tests/test_gmm_hmm_multisequence.py::test_gmmhmm_multi_sequence_fit_invariant_to_sequence_ordering[log-full]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_fit_sparse_data[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_fit_sparse_data[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithSphericalCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_fit_sparse_data[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_fit_sparse_data[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithDiagCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_fit_sparse_data[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_fit_sparse_data[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithTiedCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_score_samples_and_decode[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_score_samples_and_decode[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_fit[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_fit[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_fit_sparse_data[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_fit_sparse_data[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_criterion[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMMWithFullCovars::test_criterion[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMM_KmeansInit::test_kmeans[scaling]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMM_KmeansInit::test_kmeans[log]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMM_MultiSequence::test_chunked[diag]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMM_MultiSequence::test_chunked[spherical]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMM_MultiSequence::test_chunked[tied]
FAILED
hmmlearn/tests/test_gmm_hmm_new.py::TestGMMHMM_MultiSequence::test_chunked[full]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_score_samples[scaling]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_score_samples[log]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_fit[scaling]
FAILED hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_fit[log]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_fit_emissionprob[scaling]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_fit_emissionprob[log]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_fit_with_init[scaling]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_fit_with_init[log]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_compare_with_categorical_hmm[scaling]
FAILED
hmmlearn/tests/test_multinomial_hmm.py::TestMultinomialHMM::test_compare_with_categorical_hmm[log]
FAILED
hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_score_samples[scaling]
FAILED
hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_score_samples[log]
FAILED hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_fit[scaling]
FAILED hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_fit[log] - Ru...
FAILED
hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_fit_lambdas[scaling]
FAILED hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_fit_lambdas[log]
FAILED
hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_fit_with_init[scaling]
FAILED
hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_fit_with_init[log]
FAILED
hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_criterion[scaling]
FAILED hmmlearn/tests/test_poisson_hmm.py::TestPoissonHMM::test_criterion[log]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_init_priors[scaling]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_init_priors[log]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_n_features[scaling]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_n_features[log]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_init_incorrect_priors[scaling]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_init_incorrect_priors[log]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_beal[scaling]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_beal[log]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_and_compare_with_em[scaling]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_and_compare_with_em[log]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_length_1_sequences[scaling]
FAILED
hmmlearn/tests/test_variational_categorical.py::TestVariationalCategorical::test_fit_length_1_sequences[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_random_fit[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_random_fit[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_fit_mcgrory_titterington1d[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_fit_mcgrory_titterington1d[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_common_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_common_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestFull::test_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_random_fit[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_random_fit[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_fit_mcgrory_titterington1d[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_fit_mcgrory_titterington1d[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_common_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_common_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestTied::test_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_random_fit[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_random_fit[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_fit_mcgrory_titterington1d[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_fit_mcgrory_titterington1d[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_common_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_common_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestSpherical::test_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_random_fit[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_random_fit[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_fit_mcgrory_titterington1d[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_fit_mcgrory_titterington1d[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_common_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_common_initialization[log]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_initialization[scaling]
FAILED
hmmlearn/tests/test_variational_gaussian.py::TestDiagonal::test_initialization[log]
=========== 202 failed, 92 passed, 26 xfailed, 45 warnings in 13.37s ===========
E: pybuild pybuild:389: test: plugin pyproject failed with: exit code=1: cd
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_hmmlearn/build; python3.12 -m pytest
--pyargs hmmlearn
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.12
returned exit code 13
make: *** [debian/rules:9: binary] Error 25
dpkg-buildpackage: error: debian/rules binary subprocess returned exit status 2
--------------------------------------------------------------------------------
The above is just how the build ends and not necessarily the most relevant part.
If required, the full build log is available here:
https://people.debian.org/~sanvila/build-logs/202409/
About the archive rebuild: The build was made on virtual machines from AWS,
using sbuild and a reduced chroot with only build-essential packages.
If you could not reproduce the bug please contact me privately, as I
am willing to provide ssh access to a virtual machine where the bug is
fully reproducible.
If this is really a bug in one of the build-depends, please use
reassign and affects, so that this is still visible in the BTS web
page for this package.
Thanks.
