René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Failing test","articleBody":"Failing test with nixpkgs at d10a0143d0cbf3777c0e386c8dac635b59754cf2.\r\n\r\n```\r\n/build/acoustics-0.2.3/tests /build/acoustics-0.2.3\r\n============================= test session starts ==============================\r\nplatform linux -- Python 3.7.6, pytest-5.3.5, py-1.8.1, pluggy-0.13.1\r\nrootdir: /build/acoustics-0.2.3\r\ncollected 504 items                                                            \r\n\r\ntest__signal.py ........................................................ [ 11%]\r\n........................................................................ [ 25%]                                                                                                                                                                    \r\n...............................                                          [ 31%]                                                                                                                                                                    \r\ntest_aio.py ............................................................ [ 43%]\r\n................................................................         [ 56%]                                                                                                                                                                    \r\ntest_atmosphere.py ..                                                    [ 56%]\r\ntest_bands.py ................                                           [ 59%]\r\ntest_building.py .........                                               [ 61%]\r\ntest_cepstrum.py ..                                                      [ 61%]\r\ntest_criterion.py ...................                                    [ 65%]\r\ntest_decibel.py ......                                                   [ 66%]\r\ntest_descriptors.py ..........                                           [ 68%]\r\ntest_directivity.py .....                                                [ 69%]\r\ntest_generator.py ..............................                         [ 75%]\r\ntest_imaging.py .....                                                    [ 76%]\r\ntest_octave.py ..                                                        [ 77%]\r\ntest_power.py ...                                                        [ 77%]\r\ntest_room.py .............................                               [ 83%]\r\ntest_signal.py ...................................................       [ 93%]\r\ntest_utils.py ..............                                             [ 96%]\r\ntest_weighting.py ......                                                 [ 97%]\r\nstandards/test_iec_61672_1_2013.py ..........                            [ 99%]\r\nstandards/test_iso_1996_2_2007.py F                                      [ 99%]\r\nstandards/test_iso_tr_25417_2007.py .                                    [100%]\r\n\r\n=================================== FAILURES ===================================\r\n________________________________ test_tonality _________________________________\r\n\r\n    def test_tonality():\r\n    \r\n        duration = 60.0\r\n        fs = 10025.0\r\n        samples = int(fs * duration)\r\n        times = np.arange(samples) / fs\r\n    \r\n        signal = Signal(np.sin(2.0 * np.pi * 1000.0 * times), fs)\r\n    \r\n        tonality = Tonality(signal, signal.fs)\r\n    \r\n        # Test methods before analysis\r\n        tonality.spectrum\r\n        tonality.plot_spectrum()\r\n    \r\n        tonality.frequency_resolution\r\n        tonality.effective_analysis_bandwidth\r\n    \r\n        # No values yet, cannot print overview.\r\n        with pytest.raises(ValueError):\r\n            print(tonality.overview())\r\n        tonality.results_as_dataframe()\r\n    \r\n        assert len(list(tonality.noise_pauses)) == 0\r\n        assert len(list(tonality.tones)) == 0\r\n        assert len(list(tonality.critical_bands)) == 0\r\n    \r\n        # Perform analysis\r\n\u003e       tonality.determine_noise_pauses().analyse()\r\n\r\nstandards/test_iso_1996_2_2007.py:36:\r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\r\n/nix/store/ndi5w75n7cvgfchh5y1icykk6jhvhnkq-python3.7-acoustics-0.2.3/lib/python3.7/site-packages/acoustics/standards/iso_1996_2_2007.py:321: in analyse\r\n    self._determine_tones()\r\n/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\r\n    self.force_bandwidth_criterion,\r\n/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\r\n    indices_3db = np.nonzero(levels.iloc[npr] \u003e= levels.iloc[npr].max() - TONE_BANDWIDTH_CRITERION_DB)[0]\r\n\u003c__array_function__ internals\u003e:6: in nonzero\r\n    ???\r\n/nix/store/mg6agzzf88rxhsc5j3lhgv68sdwvc4hd-python3.7-numpy-1.18.1/lib/python3.7/site-packages/numpy/core/fromnumeric.py:1896: in nonzero\r\n    return _wrapfunc(a, 'nonzero')\r\n/nix/store/mg6agzzf88rxhsc5j3lhgv68sdwvc4hd-python3.7-numpy-1.18.1/lib/python3.7/site-packages/numpy/core/fromnumeric.py:58: in _wrapfunc\r\n    return _wrapit(obj, method, *args, **kwds)\r\n/nix/store/mg6agzzf88rxhsc5j3lhgv68sdwvc4hd-python3.7-numpy-1.18.1/lib/python3.7/site-packages/numpy/core/fromnumeric.py:51: in _wrapit\r\n    result = wrap(result)\r\n/nix/store/sdvrxnwmjbs14p27racmgidjkwg5ypw3-python3.7-pandas-1.0.1/lib/python3.7/site-packages/pandas/core/generic.py:1918: in __array_wrap__\r\n    return self._constructor(result, **d).__finalize__(self)\r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\r\n\r\nself = \u003c[AttributeError(\"'Series' object has no attribute '_name'\") raised in repr()] Series object at 0x7fffe072d850\u003e\r\ndata = array([[1, 2]])\r\nindex = Float64Index([4.0, 5.0, 6.0, 7.0], dtype='float64'), dtype = None\r\nname = None, copy = False, fastpath = False\r\n\r\n    def __init__(\r\n        self, data=None, index=None, dtype=None, name=None, copy=False, fastpath=False\r\n    ):\r\n    \r\n        # we are called internally, so short-circuit\r\n        if fastpath:\r\n    \r\n            # data is an ndarray, index is defined\r\n            if not isinstance(data, SingleBlockManager):\r\n                data = SingleBlockManager(data, index, fastpath=True)\r\n            if copy:\r\n                data = data.copy()\r\n            if index is None:\r\n                index = data.index\r\n    \r\n        else:\r\n    \r\n            name = ibase.maybe_extract_name(name, data, type(self))\r\n    \r\n            if is_empty_data(data) and dtype is None:\r\n                # gh-17261\r\n                warnings.warn(\r\n                    \"The default dtype for empty Series will be 'object' instead \"\r\n                    \"of 'float64' in a future version. Specify a dtype explicitly \"\r\n                    \"to silence this warning.\",\r\n                    DeprecationWarning,\r\n                    stacklevel=2,\r\n                )\r\n                # uncomment the line below when removing the DeprecationWarning\r\n                # dtype = np.dtype(object)\r\n    \r\n            if index is not None:\r\n                index = ensure_index(index)\r\n    \r\n            if data is None:\r\n                data = {}\r\n            if dtype is not None:\r\n                dtype = self._validate_dtype(dtype)\r\n    \r\n            if isinstance(data, MultiIndex):\r\n                raise NotImplementedError(\r\n                    \"initializing a Series from a MultiIndex is not supported\"\r\n                )\r\n            elif isinstance(data, Index):\r\n    \r\n                if dtype is not None:\r\n                    # astype copies\r\n                    data = data.astype(dtype)\r\n                else:\r\n                    # need to copy to avoid aliasing issues\r\n                    data = data._values.copy()\r\n                    if isinstance(data, ABCDatetimeIndex) and data.tz is not None:\r\n                        # GH#24096 need copy to be deep for datetime64tz case\r\n                        # TODO: See if we can avoid these copies\r\n                        data = data._values.copy(deep=True)\r\n                copy = False\r\n    \r\n            elif isinstance(data, np.ndarray):\r\n                if len(data.dtype):\r\n                    # GH#13296 we are dealing with a compound dtype, which\r\n                    #  should be treated as 2D\r\n                    raise ValueError(\r\n                        \"Cannot construct a Series from an ndarray with \"\r\n                        \"compound dtype.  Use DataFrame instead.\"\r\n                    )\r\n                pass\r\n            elif isinstance(data, ABCSeries):\r\n                if index is None:\r\n                    index = data.index\r\n                else:\r\n                    data = data.reindex(index, copy=copy)\r\n                data = data._data\r\n            elif is_dict_like(data):\r\n                data, index = self._init_dict(data, index, dtype)\r\n                dtype = None\r\n                copy = False\r\n            elif isinstance(data, SingleBlockManager):\r\n                if index is None:\r\n                    index = data.index\r\n                elif not data.index.equals(index) or copy:\r\n                    # GH#19275 SingleBlockManager input should only be called\r\n                    # internally\r\n                    raise AssertionError(\r\n                        \"Cannot pass both SingleBlockManager \"\r\n                        \"`data` argument and a different \"\r\n                        \"`index` argument. `copy` must be False.\"\r\n                    )\r\n    \r\n            elif is_extension_array_dtype(data):\r\n                pass\r\n            elif isinstance(data, (set, frozenset)):\r\n                raise TypeError(f\"'{type(data).__name__}' type is unordered\")\r\n            elif isinstance(data, ABCSparseArray):\r\n                # handle sparse passed here (and force conversion)\r\n                data = data.to_dense()\r\n            else:\r\n                data = com.maybe_iterable_to_list(data)\r\n    \r\n            if index is None:\r\n                if not is_list_like(data):\r\n                    data = [data]\r\n                index = ibase.default_index(len(data))\r\n            elif is_list_like(data):\r\n    \r\n                # a scalar numpy array is list-like but doesn't\r\n                # have a proper length\r\n                try:\r\n                    if len(index) != len(data):\r\n                        raise ValueError(\r\n\u003e                           f\"Length of passed values is {len(data)}, \"\r\n                            f\"index implies {len(index)}.\"\r\n                        )\r\nE                       ValueError: Length of passed values is 1, index implies 4.\r\n\r\n/nix/store/sdvrxnwmjbs14p27racmgidjkwg5ypw3-python3.7-pandas-1.0.1/lib/python3.7/site-packages/pandas/core/series.py:292: ValueError\r\n=============================== warnings summary ===============================\r\nstandards/test_iec_61672_1_2013.py:30\r\n  /build/acoustics-0.2.3/tests/standards/test_iec_61672_1_2013.py:30: DeprecationWarning: invalid escape sequence \\c\r\n    \"\"\"\r\n\r\n-- Docs: https://docs.pytest.org/en/latest/warnings.html\r\n================== 1 failed, 503 passed, 1 warning in 17.45s ===================\r\nbuilder for '/nix/store/10sbf7k08xjbq84jc2qvymly3gvs1q1s-python3.7-acoustics-0.2.3.drv' failed with exit code 1\r\nerror: build of '/nix/store/10sbf7k08xjbq84jc2qvymly3gvs1q1s-python3.7-acoustics-0.2.3.drv' failed\r\n```","author":{"url":"https://github.com/FRidh","@type":"Person","name":"FRidh"},"datePublished":"2020-02-21T17:33:47.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/242/python-acoustics/issues/242"}