Failing test with nixpkgs at d10a0143d0cbf3777c0e386c8dac635b59754cf2.
/build/acoustics-0.2.3/tests /build/acoustics-0.2.3
============================= test session starts ==============================
platform linux -- Python 3.7.6, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /build/acoustics-0.2.3
collected 504 items
test__signal.py ........................................................ [ 11%]
........................................................................ [ 25%]
............................... [ 31%]
test_aio.py ............................................................ [ 43%]
................................................................ [ 56%]
test_atmosphere.py .. [ 56%]
test_bands.py ................ [ 59%]
test_building.py ......... [ 61%]
test_cepstrum.py .. [ 61%]
test_criterion.py ................... [ 65%]
test_decibel.py ...... [ 66%]
test_descriptors.py .......... [ 68%]
test_directivity.py ..... [ 69%]
test_generator.py .............................. [ 75%]
test_imaging.py ..... [ 76%]
test_octave.py .. [ 77%]
test_power.py ... [ 77%]
test_room.py ............................. [ 83%]
test_signal.py ................................................... [ 93%]
test_utils.py .............. [ 96%]
test_weighting.py ...... [ 97%]
standards/test_iec_61672_1_2013.py .......... [ 99%]
standards/test_iso_1996_2_2007.py F [ 99%]
standards/test_iso_tr_25417_2007.py . [100%]
=================================== FAILURES ===================================
________________________________ test_tonality _________________________________
def test_tonality():
duration = 60.0
fs = 10025.0
samples = int(fs * duration)
times = np.arange(samples) / fs
signal = Signal(np.sin(2.0 * np.pi * 1000.0 * times), fs)
tonality = Tonality(signal, signal.fs)
# Test methods before analysis
tonality.spectrum
tonality.plot_spectrum()
tonality.frequency_resolution
tonality.effective_analysis_bandwidth
# No values yet, cannot print overview.
with pytest.raises(ValueError):
print(tonality.overview())
tonality.results_as_dataframe()
assert len(list(tonality.noise_pauses)) == 0
assert len(list(tonality.tones)) == 0
assert len(list(tonality.critical_bands)) == 0
# Perform analysis
> tonality.determine_noise_pauses().analyse()
standards/test_iso_1996_2_2007.py:36:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/nix/store/ndi5w75n7cvgfchh5y1icykk6jhvhnkq-python3.7-acoustics-0.2.3/lib/python3.7/site-packages/acoustics/standards/iso_1996_2_2007.py:321: in analyse
self._determine_tones()
/nix/store/ndi5w75n7cvgfchh5y1icykk6jhvhnkq-python3.7-acoustics-0.2.3/lib/python3.7/site-packages/acoustics/standards/iso_1996_2_2007.py:295: in _determine_tones
self.force_bandwidth_criterion,
/nix/store/ndi5w75n7cvgfchh5y1icykk6jhvhnkq-python3.7-acoustics-0.2.3/lib/python3.7/site-packages/acoustics/standards/iso_1996_2_2007.py:658: in determine_tone_lines
indices_3db = np.nonzero(levels.iloc[npr] >= levels.iloc[npr].max() - TONE_BANDWIDTH_CRITERION_DB)[0]
<__array_function__ internals>:6: in nonzero
???
/nix/store/mg6agzzf88rxhsc5j3lhgv68sdwvc4hd-python3.7-numpy-1.18.1/lib/python3.7/site-packages/numpy/core/fromnumeric.py:1896: in nonzero
return _wrapfunc(a, 'nonzero')
/nix/store/mg6agzzf88rxhsc5j3lhgv68sdwvc4hd-python3.7-numpy-1.18.1/lib/python3.7/site-packages/numpy/core/fromnumeric.py:58: in _wrapfunc
return _wrapit(obj, method, *args, **kwds)
/nix/store/mg6agzzf88rxhsc5j3lhgv68sdwvc4hd-python3.7-numpy-1.18.1/lib/python3.7/site-packages/numpy/core/fromnumeric.py:51: in _wrapit
result = wrap(result)
/nix/store/sdvrxnwmjbs14p27racmgidjkwg5ypw3-python3.7-pandas-1.0.1/lib/python3.7/site-packages/pandas/core/generic.py:1918: in __array_wrap__
return self._constructor(result, **d).__finalize__(self)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[AttributeError("'Series' object has no attribute '_name'") raised in repr()] Series object at 0x7fffe072d850>
data = array([[1, 2]])
index = Float64Index([4.0, 5.0, 6.0, 7.0], dtype='float64'), dtype = None
name = None, copy = False, fastpath = False
def __init__(
self, data=None, index=None, dtype=None, name=None, copy=False, fastpath=False
):
# we are called internally, so short-circuit
if fastpath:
# data is an ndarray, index is defined
if not isinstance(data, SingleBlockManager):
data = SingleBlockManager(data, index, fastpath=True)
if copy:
data = data.copy()
if index is None:
index = data.index
else:
name = ibase.maybe_extract_name(name, data, type(self))
if is_empty_data(data) and dtype is None:
# gh-17261
warnings.warn(
"The default dtype for empty Series will be 'object' instead "
"of 'float64' in a future version. Specify a dtype explicitly "
"to silence this warning.",
DeprecationWarning,
stacklevel=2,
)
# uncomment the line below when removing the DeprecationWarning
# dtype = np.dtype(object)
if index is not None:
index = ensure_index(index)
if data is None:
data = {}
if dtype is not None:
dtype = self._validate_dtype(dtype)
if isinstance(data, MultiIndex):
raise NotImplementedError(
"initializing a Series from a MultiIndex is not supported"
)
elif isinstance(data, Index):
if dtype is not None:
# astype copies
data = data.astype(dtype)
else:
# need to copy to avoid aliasing issues
data = data._values.copy()
if isinstance(data, ABCDatetimeIndex) and data.tz is not None:
# GH#24096 need copy to be deep for datetime64tz case
# TODO: See if we can avoid these copies
data = data._values.copy(deep=True)
copy = False
elif isinstance(data, np.ndarray):
if len(data.dtype):
# GH#13296 we are dealing with a compound dtype, which
# should be treated as 2D
raise ValueError(
"Cannot construct a Series from an ndarray with "
"compound dtype. Use DataFrame instead."
)
pass
elif isinstance(data, ABCSeries):
if index is None:
index = data.index
else:
data = data.reindex(index, copy=copy)
data = data._data
elif is_dict_like(data):
data, index = self._init_dict(data, index, dtype)
dtype = None
copy = False
elif isinstance(data, SingleBlockManager):
if index is None:
index = data.index
elif not data.index.equals(index) or copy:
# GH#19275 SingleBlockManager input should only be called
# internally
raise AssertionError(
"Cannot pass both SingleBlockManager "
"`data` argument and a different "
"`index` argument. `copy` must be False."
)
elif is_extension_array_dtype(data):
pass
elif isinstance(data, (set, frozenset)):
raise TypeError(f"'{type(data).__name__}' type is unordered")
elif isinstance(data, ABCSparseArray):
# handle sparse passed here (and force conversion)
data = data.to_dense()
else:
data = com.maybe_iterable_to_list(data)
if index is None:
if not is_list_like(data):
data = [data]
index = ibase.default_index(len(data))
elif is_list_like(data):
# a scalar numpy array is list-like but doesn't
# have a proper length
try:
if len(index) != len(data):
raise ValueError(
> f"Length of passed values is {len(data)}, "
f"index implies {len(index)}."
)
E ValueError: Length of passed values is 1, index implies 4.
/nix/store/sdvrxnwmjbs14p27racmgidjkwg5ypw3-python3.7-pandas-1.0.1/lib/python3.7/site-packages/pandas/core/series.py:292: ValueError
=============================== warnings summary ===============================
standards/test_iec_61672_1_2013.py:30
/build/acoustics-0.2.3/tests/standards/test_iec_61672_1_2013.py:30: DeprecationWarning: invalid escape sequence \c
"""
-- Docs: https://docs.pytest.org/en/latest/warnings.html
================== 1 failed, 503 passed, 1 warning in 17.45s ===================
builder for '/nix/store/10sbf7k08xjbq84jc2qvymly3gvs1q1s-python3.7-acoustics-0.2.3.drv' failed with exit code 1
error: build of '/nix/store/10sbf7k08xjbq84jc2qvymly3gvs1q1s-python3.7-acoustics-0.2.3.drv' failed
Failing test with nixpkgs at d10a0143d0cbf3777c0e386c8dac635b59754cf2.