[Reproducible-builds] Bug#813932: sunpy: FTBFS: IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
Chris Lamb
lamby at debian.org
Sat Feb 6 19:59:19 UTC 2016
Source: sunpy
Version: 0.6.1-2
Severity: serious
Justification: fails to build from source
User: reproducible-builds at lists.alioth.debian.org
Usertags: ftbfs
X-Debbugs-Cc: reproducible-builds at 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
`. `'` lamby at debian.org / chris-lamb.co.uk
`-
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