/usr/lib/python3/dist-packages/h5py/tests/old/common.py is in python3-h5py 2.6.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | # This file is part of h5py, a Python interface to the HDF5 library.
#
# http://www.h5py.org
#
# Copyright 2008-2013 Andrew Collette and contributors
#
# License: Standard 3-clause BSD; see "license.txt" for full license terms
# and contributor agreement.
from __future__ import absolute_import
import sys
from six import unichr, PY3
if sys.version_info >= (2, 7) or sys.version_info >= (3, 2):
import unittest as ut
else:
try:
import unittest2 as ut
except ImportError:
raise ImportError(
'unittest2 is required to run the test suite with python-%d.%d'
% (sys.version_info[:2])
)
import shutil
import tempfile
import numpy as np
import os
class TestCase(ut.TestCase):
@classmethod
def setUpClass(cls):
cls.tempdir = tempfile.mkdtemp(prefix='h5py-test_')
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.tempdir)
def mktemp(self, suffix='.hdf5', prefix='', dir=None):
if dir is None:
dir = self.tempdir
return tempfile.mktemp(suffix, prefix, dir=self.tempdir)
if not hasattr(ut.TestCase, 'assertSameElements'):
# shim until this is ported into unittest2
def assertSameElements(self, a, b):
for x in a:
match = False
for y in b:
if x == y:
match = True
if not match:
raise AssertionError("Item '%s' appears in a but not b" % x)
for x in b:
match = False
for y in a:
if x == y:
match = True
if not match:
raise AssertionError("Item '%s' appears in b but not a" % x)
def assertArrayEqual(self, dset, arr, message=None, precision=None):
""" Make sure dset and arr have the same shape, dtype and contents, to
within the given precision.
Note that dset may be a NumPy array or an HDF5 dataset.
"""
if precision is None:
precision = 1e-5
if message is None:
message = ''
else:
message = ' (%s)' % message
if np.isscalar(dset) or np.isscalar(arr):
self.assert_(
np.isscalar(dset) and np.isscalar(arr),
'Scalar/array mismatch ("%r" vs "%r")%s' % (dset, arr, message)
)
self.assert_(
dset - arr < precision,
"Scalars differ by more than %.3f%s" % (precision, message)
)
return
self.assert_(
dset.shape == arr.shape,
"Shape mismatch (%s vs %s)%s" % (dset.shape, arr.shape, message)
)
self.assert_(
dset.dtype == arr.dtype,
"Dtype mismatch (%s vs %s)%s" % (dset.dtype, arr.dtype, message)
)
self.assert_(
np.all(np.abs(dset[...] - arr[...]) < precision),
"Arrays differ by more than %.3f%s" % (precision, message)
)
# Check if non-ascii filenames are supported
# Evidently this is the most reliable way to check
# See also h5py issue #263 and ipython #466
# To test for this, run the testsuite with LC_ALL=C
try:
testfile, fname = tempfile.mkstemp(unichr(0x03b7))
except UnicodeError:
unicode_filenames = False
else:
unicode_filenames = True
os.close(testfile)
os.unlink(fname)
del fname
del testfile
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