Source: sunpy Version: 0.6.1-2 Severity: serious Justification: fails to build from source User: reproducible-builds@lists.alioth.debian.org Usertags: ftbfs X-Debbugs-Cc: reproducible-builds@lists.alioth.debian.org
Dear Maintainer, sunpy fails to build from source in unstable/amd64: [..] ---------- new_delt : float New delta between consecutive values. """ if self.t_delt == new_delt: return self factor = self.t_delt / float(new_delt) # The last data-point does not change! new_size = floor((self.shape[1] - 1) * factor + 1) # pylint: disable=E1101 data = ndimage.zoom(self.data, (1, new_size / self.shape[1])) # pylint: disable=E1101 params = self._get_params() params.update({ 'time_axis': np.linspace( self.time_axis[0], > self.time_axis[(new_size - 1) * new_delt / self.t_delt], new_size ), 't_delt': new_delt, }) E IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices sunpy/spectra/spectrogram.py:960: IndexError ______________________________ test_combine_freqs ______________________________ def test_combine_freqs(): image = np.random.rand(5, 3600) spec = LinearTimeSpectrogram(image, np.linspace(0, image.shape[1] - 1, image.shape[1]), np.array([8, 6, 4, 2, 0]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 0.25 ) image = np.random.rand(5, 3600) spec2 = LinearTimeSpectrogram(image, np.linspace(0, image.shape[1] - 1, image.shape[1]), np.array([9, 7, 5, 3, 1]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 0.25 ) > comb = LinearTimeSpectrogram.combine_frequencies([spec, spec2]) sunpy/spectra/tests/test_spectrogram.py:575: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sunpy/spectra/spectrogram.py:1162: in combine_frequencies specs = cls.intersect_time(specs) sunpy/spectra/spectrogram.py:1144: in intersect_time cut = [sp[:, (start - sp.t_init) / delt:] for sp in specs] sunpy/spectra/spectrogram.py:601: in __getitem__ return self._slice(key[0], key[1]) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <sunpy.spectra.spectrogram.LinearTimeSpectrogram object at 0x7f00513ff790> y_range = slice(None, None, None), x_range = slice(0.0, None, None) def _slice(self, y_range, x_range): """Return new spectrogram reduced to the values passed as slices. Implementation detail.""" > data = self.data[y_range, x_range] E IndexError: invalid slice sunpy/spectra/spectrogram.py:339: IndexError _____________________________ test_intersect_time ______________________________ def test_intersect_time(): image = np.random.rand(5, 3600) spec = LinearTimeSpectrogram(image, np.linspace(0, 0.25 * (image.shape[1] - 1), image.shape[1]), np.array([8, 6, 4, 2, 0]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 0.25 ) image = np.random.rand(5, 3600) spec2 = LinearTimeSpectrogram(image, np.linspace(0, 0.25 * (image.shape[1] - 1), image.shape[1]), np.array([9, 7, 5, 3, 1]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 901, 0.25 ) one, other = LinearTimeSpectrogram.intersect_time( > [spec, spec2] ) sunpy/spectra/tests/test_spectrogram.py:632: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sunpy/spectra/spectrogram.py:1144: in intersect_time cut = [sp[:, (start - sp.t_init) / delt:] for sp in specs] sunpy/spectra/spectrogram.py:601: in __getitem__ return self._slice(key[0], key[1]) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <sunpy.spectra.spectrogram.LinearTimeSpectrogram object at 0x7f005113dd50> y_range = slice(None, None, None), x_range = slice(4.0, None, None) def _slice(self, y_range, x_range): """Return new spectrogram reduced to the values passed as slices. Implementation detail.""" > data = self.data[y_range, x_range] E IndexError: invalid slice sunpy/spectra/spectrogram.py:339: IndexError ________________________________ test_linearize ________________________________ def test_linearize(): image = np.random.rand(5, 900) spec = LinearTimeSpectrogram(image, np.linspace(0, 1 * (image.shape[1] - 1), image.shape[1]), np.array([20, 10, 5, 0]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 1 ) # 0 1 2 3 4 5 6 7 8 # -------- ----------- ----- --- # 20 17.5 15 12.5 10 7.5 5 2.5 0 > linear = spec.linearize_freqs() sunpy/spectra/tests/test_spectrogram.py:723: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <sunpy.spectra.spectrogram.LinearTimeSpectrogram object at 0x7f00512982d0> delta_freq = 2.5 def linearize_freqs(self, delta_freq=None): """Rebin frequencies so that the frequency axis is linear. Parameters ---------- delta_freq : float Difference between consecutive values on the new frequency axis. Defaults to half of smallest delta in current frequency axis. Compare Nyquist-Shannon sampling theorem. """ if delta_freq is None: # Nyquist–Shannon sampling theorem delta_freq = _min_delt(self.freq_axis) / 2. nsize = (self.freq_axis.max() - self.freq_axis.min()) / delta_freq + 1 > new = np.zeros((nsize, self.shape[1]), dtype=self.data.dtype) E TypeError: 'numpy.float64' object cannot be interpreted as an index sunpy/spectra/spectrogram.py:804: TypeError _______________________________ test_linear_view _______________________________ def test_linear_view(): image = np.random.rand(5, 900) spec = LinearTimeSpectrogram(image, np.linspace(0, 1 * (image.shape[1] - 1), image.shape[1]), np.array([20, 10, 5, 0]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 1 ) linear = _LinearView(spec) # assert ((linear.freq_axis[:-1] - linear.freq_axis[1:]) == 2.5).all() assert (linear[0] == image[0, :]).all() assert (linear[1] == image[0, :]).all() assert (linear[2] == image[0, :]).all() assert (linear[3] == image[1, :]).all() assert (linear[4] == image[1, :]).all() > assert (linear[5] == image[1, :]).all() sunpy/spectra/tests/test_spectrogram.py:756: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sunpy/spectra/spectrogram.py:143: in __getitem__ return self._find(self.arr, item) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <sunpy.spectra.spectrogram._LinearView object at 0x7f0051601b10> arr = <sunpy.spectra.spectrogram.LinearTimeSpectrogram object at 0x7f00516014d0> item = 5 def _find(self, arr, item): if item < 0: item = item % len(self) if item >= len(self): raise IndexError freq_offset = item * self.delt freq = self.arr.freq_axis[0] - freq_offset # The idea is that when we take the biggest delta in the mid points, # we do not have to search anything that is between the beginning and # the first item that can possibly be that frequency. min_mid = max(0, (freq - self.midpoints[0]) // self.max_mp_delt) > for n, mid in enumerate(self.midpoints[min_mid:]): E IndexError: invalid slice sunpy/spectra/spectrogram.py:137: IndexError __________________________ test_linear_view_negative ___________________________ def test_linear_view_negative(): image = np.random.rand(5, 900) spec = LinearTimeSpectrogram(image, np.linspace(0, 1 * (image.shape[1] - 1), image.shape[1]), np.array([20, 10, 5, 0]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 1 ) linear = _LinearView(spec) # assert ((linear.freq_axis[:-1] - linear.freq_axis[1:]) == 2.5).all() > assert (linear[8] == image[3, :]).all() sunpy/spectra/tests/test_spectrogram.py:792: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sunpy/spectra/spectrogram.py:143: in __getitem__ return self._find(self.arr, item) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <sunpy.spectra.spectrogram._LinearView object at 0x7f0050a60d10> arr = <sunpy.spectra.spectrogram.LinearTimeSpectrogram object at 0x7f0050a606d0> item = 8 def _find(self, arr, item): if item < 0: item = item % len(self) if item >= len(self): raise IndexError freq_offset = item * self.delt freq = self.arr.freq_axis[0] - freq_offset # The idea is that when we take the biggest delta in the mid points, # we do not have to search anything that is between the beginning and # the first item that can possibly be that frequency. min_mid = max(0, (freq - self.midpoints[0]) // self.max_mp_delt) > for n, mid in enumerate(self.midpoints[min_mid:]): E IndexError: invalid slice sunpy/spectra/spectrogram.py:137: IndexError ____________________________ test_linear_view_freqs ____________________________ def test_linear_view_freqs(): image = np.random.rand(5, 900) spec = LinearTimeSpectrogram(image, np.linspace(0, 1 * (image.shape[1] - 1), image.shape[1]), np.array([20, 10, 5, 0]), datetime(2010, 1, 1, 0, 15), datetime(2010, 1, 1, 0, 30), 900, 1 ) linear = _LinearView(spec) # assert ((linear.freq_axis[:-1] - linear.freq_axis[1:]) == 2.5).all() assert linear.get_freq(0) == 20 assert linear.get_freq(1) == 20 assert linear.get_freq(2) == 20 assert linear.get_freq(3) == 10 assert linear.get_freq(4) == 10 > assert linear.get_freq(5) == 10 sunpy/spectra/tests/test_spectrogram.py:815: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sunpy/spectra/spectrogram.py:146: in get_freq return self._find(self.arr.freq_axis, item) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <sunpy.spectra.spectrogram._LinearView object at 0x7f0050b06150> arr = array([20, 10, 5, 0]), item = 5 def _find(self, arr, item): if item < 0: item = item % len(self) if item >= len(self): raise IndexError freq_offset = item * self.delt freq = self.arr.freq_axis[0] - freq_offset # The idea is that when we take the biggest delta in the mid points, # we do not have to search anything that is between the beginning and # the first item that can possibly be that frequency. min_mid = max(0, (freq - self.midpoints[0]) // self.max_mp_delt) > for n, mid in enumerate(self.midpoints[min_mid:]): E IndexError: invalid slice sunpy/spectra/spectrogram.py:137: IndexError ============ 110 tests deselected by '-knot figure and not online' ============= = 36 failed, 657 passed, 15 skipped, 110 deselected, 4 error in 27.77 seconds == debian/rules:14: recipe for target 'override_dh_auto_test' failed make[1]: *** [override_dh_auto_test] Error 1 make[1]: Leaving directory '/home/lamby/temp/cdt.20160206205038.UCW69LXJO5/sunpy-0.6.1' debian/rules:11: recipe for target 'build' failed make: *** [build] Error 2 [..] The full build log is attached. Regards, -- ,''`. : :' : Chris Lamb `. `'` la...@debian.org / chris-lamb.co.uk `-
sunpy.0.6.1-2.unstable.amd64.log.txt.gz
Description: Binary data
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