/usr/lib/python2.7/dist-packages/h5py/tests/old/test_dimension_scales.py is in python-h5py 2.7.1-2.
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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 | # 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
import numpy as np
from ..common import ut, TestCase
from h5py.highlevel import File, Group, Dataset
import h5py
class BaseDataset(TestCase):
"""
data is a 3-dimensional dataset with dimensions [z, y, x]
The z dimension is labeled. It does not have any attached scales.
The y dimension is not labeled. It has one attached scale.
The x dimension is labeled. It has two attached scales.
data2 is a 3-dimensional dataset with no associated dimension scales.
"""
def setUp(self):
self.f = File(self.mktemp(), 'w')
self.f['data'] = np.ones((4, 3, 2), 'f')
self.f['data2'] = np.ones((4, 3, 2), 'f')
self.f['x1'] = np.ones((2), 'f')
h5py.h5ds.set_scale(self.f['x1'].id)
h5py.h5ds.attach_scale(self.f['data'].id, self.f['x1'].id, 2)
self.f['x2'] = np.ones((2), 'f')
h5py.h5ds.set_scale(self.f['x2'].id, b'x2 name')
h5py.h5ds.attach_scale(self.f['data'].id, self.f['x2'].id, 2)
self.f['y1'] = np.ones((3), 'f')
h5py.h5ds.set_scale(self.f['y1'].id, b'y1 name')
h5py.h5ds.attach_scale(self.f['data'].id, self.f['y1'].id, 1)
self.f['z1'] = np.ones((4), 'f')
h5py.h5ds.set_label(self.f['data'].id, 0, b'z')
h5py.h5ds.set_label(self.f['data'].id, 2, b'x')
def tearDown(self):
if self.f:
self.f.close()
class TestH5DSBindings(BaseDataset):
"""
Feature: Datasets can be created from existing data
"""
def test_create_dimensionscale(self):
""" Create a dimension scale from existing dataset """
self.assertTrue(h5py.h5ds.is_scale(self.f['x1'].id))
self.assertEqual(h5py.h5ds.get_scale_name(self.f['x1'].id), b'')
self.assertEqual(self.f['x1'].attrs['CLASS'], b"DIMENSION_SCALE")
self.assertEqual(h5py.h5ds.get_scale_name(self.f['x2'].id), b'x2 name')
def test_attach_dimensionscale(self):
self.assertTrue(
h5py.h5ds.is_attached(self.f['data'].id, self.f['x1'].id, 2)
)
self.assertFalse(
h5py.h5ds.is_attached(self.f['data'].id, self.f['x1'].id, 1))
self.assertEqual(h5py.h5ds.get_num_scales(self.f['data'].id, 0), 0)
self.assertEqual(h5py.h5ds.get_num_scales(self.f['data'].id, 1), 1)
self.assertEqual(h5py.h5ds.get_num_scales(self.f['data'].id, 2), 2)
def test_detach_dimensionscale(self):
self.assertTrue(
h5py.h5ds.is_attached(self.f['data'].id, self.f['x1'].id, 2)
)
h5py.h5ds.detach_scale(self.f['data'].id, self.f['x1'].id, 2)
self.assertFalse(
h5py.h5ds.is_attached(self.f['data'].id, self.f['x1'].id, 2)
)
self.assertEqual(h5py.h5ds.get_num_scales(self.f['data'].id, 2), 1)
# TODO: update condition once the bug is fixed upstream
@ut.skipUnless(
h5py.version.hdf5_version_tuple > (2, 0, 0),
"Reading non-existent label segfaults"
)
def test_label_dimensionscale(self):
self.assertEqual(h5py.h5ds.get_label(self.f['data'].id, 0), b'z')
self.assertEqual(h5py.h5ds.get_label(self.f['data'].id, 1), b'')
self.assertEqual(h5py.h5ds.get_label(self.f['data'].id, 2), b'x')
def test_iter_dimensionscales(self):
def func(dsid):
res = h5py.h5ds.get_scale_name(dsid)
if res == b'x2 name':
return dsid
res = h5py.h5ds.iterate(self.f['data'].id, 2, func, 0)
self.assertEqual(h5py.h5ds.get_scale_name(res), b'x2 name')
class TestDimensionManager(BaseDataset):
def test_create_scale(self):
# test recreating or renaming an existing scale:
self.f['data'].dims.create_scale(self.f['x1'], b'foobar')
self.assertEqual(self.f['data'].dims[2]['foobar'], self.f['x1'])
# test creating entirely new scale:
self.f['data'].dims.create_scale(self.f['data2'], b'foobaz')
self.f['data'].dims[2].attach_scale(self.f['data2'])
self.assertEqual(self.f['data'].dims[2]['foobaz'], self.f['data2'])
def test_get_dimension(self):
with self.assertRaises(IndexError):
self.f['data'].dims[3]
def test_len(self):
self.assertEqual(len(self.f['data'].dims), 3)
self.assertEqual(len(self.f['data2'].dims), 3)
def test_iter(self):
dims = self.f['data'].dims
self.assertEqual(
[d for d in dims],
[dims[0], dims[1], dims[2]]
)
class TestDimensionsHighLevel(BaseDataset):
def test_len(self):
self.assertEqual(len(self.f['data'].dims[0]), 0)
self.assertEqual(len(self.f['data'].dims[1]), 1)
self.assertEqual(len(self.f['data'].dims[2]), 2)
self.assertEqual(len(self.f['data2'].dims[0]), 0)
self.assertEqual(len(self.f['data2'].dims[1]), 0)
self.assertEqual(len(self.f['data2'].dims[2]), 0)
def test_get_label(self):
self.assertEqual(self.f['data'].dims[2].label, 'x')
self.assertEqual(self.f['data'].dims[1].label, '')
self.assertEqual(self.f['data'].dims[0].label, 'z')
self.assertEqual(self.f['data2'].dims[2].label, '')
self.assertEqual(self.f['data2'].dims[1].label, '')
self.assertEqual(self.f['data2'].dims[0].label, '')
def test_set_label(self):
self.f['data'].dims[0].label = 'foo'
self.assertEqual(self.f['data'].dims[2].label, 'x')
self.assertEqual(self.f['data'].dims[1].label, '')
self.assertEqual(self.f['data'].dims[0].label, 'foo')
def test_detach_scale(self):
self.f['data'].dims[2].detach_scale(self.f['x1'])
self.assertEqual(len(self.f['data'].dims[2]), 1)
self.assertEqual(self.f['data'].dims[2][0], self.f['x2'])
self.f['data'].dims[2].detach_scale(self.f['x2'])
self.assertEqual(len(self.f['data'].dims[2]), 0)
def test_attach_scale(self):
self.f['x3'] = self.f['x2'][...]
self.f['data'].dims[2].attach_scale(self.f['x3'])
self.assertEqual(len(self.f['data'].dims[2]), 3)
self.assertEqual(self.f['data'].dims[2][2], self.f['x3'])
def test_get_dimension_scale(self):
self.assertEqual(self.f['data'].dims[2][0], self.f['x1'])
with self.assertRaises(RuntimeError):
self.f['data2'].dims[2][0], self.f['x2']
self.assertEqual(self.f['data'].dims[2][''], self.f['x1'])
self.assertEqual(self.f['data'].dims[2]['x2 name'], self.f['x2'])
def test_get_items(self):
self.assertEqual(
self.f['data'].dims[2].items(),
[('', self.f['x1']), ('x2 name', self.f['x2'])]
)
def test_get_keys(self):
self.assertEqual(self.f['data'].dims[2].keys(), ['', 'x2 name'])
def test_get_values(self):
self.assertEqual(
self.f['data'].dims[2].values(),
[self.f['x1'], self.f['x2']]
)
def test_iter(self):
self.assertEqual([i for i in self.f['data'].dims[2]], ['', 'x2 name'])
def test_repr(self):
self.assertEqual(repr(self.f['data'].dims[2])[1:16], '"x" dimension 2')
def test_attributes(self):
self.f["data2"].attrs["DIMENSION_LIST"] = self.f["data"].attrs[
"DIMENSION_LIST"]
self.assertEqual(len(self.f['data2'].dims[0]), 0)
self.assertEqual(len(self.f['data2'].dims[1]), 1)
self.assertEqual(len(self.f['data2'].dims[2]), 2)
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