python-numpy 1:1.12.1-3 / usr / lib / python2.7 / dist-packages / numpy / core / tests / test_shape_base.py

This file is indexed.

/usr/lib/python2.7/dist-packages/numpy/core/tests/test_shape_base.py is in python-numpy 1:1.12.1-3.

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
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
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
from __future__ import division, absolute_import, print_function

import numpy as np
from numpy.compat import long
from numpy.core import (array, arange, atleast_1d, atleast_2d, atleast_3d,
                        vstack, hstack, newaxis, concatenate, stack)
from numpy.testing import (TestCase, assert_, assert_raises, assert_array_equal,
                           assert_equal, run_module_suite, assert_raises_regex)

class TestAtleast1d(TestCase):
    def test_0D_array(self):
        a = array(1)
        b = array(2)
        res = [atleast_1d(a), atleast_1d(b)]
        desired = [array([1]), array([2])]
        assert_array_equal(res, desired)

    def test_1D_array(self):
        a = array([1, 2])
        b = array([2, 3])
        res = [atleast_1d(a), atleast_1d(b)]
        desired = [array([1, 2]), array([2, 3])]
        assert_array_equal(res, desired)

    def test_2D_array(self):
        a = array([[1, 2], [1, 2]])
        b = array([[2, 3], [2, 3]])
        res = [atleast_1d(a), atleast_1d(b)]
        desired = [a, b]
        assert_array_equal(res, desired)

    def test_3D_array(self):
        a = array([[1, 2], [1, 2]])
        b = array([[2, 3], [2, 3]])
        a = array([a, a])
        b = array([b, b])
        res = [atleast_1d(a), atleast_1d(b)]
        desired = [a, b]
        assert_array_equal(res, desired)

    def test_r1array(self):
        """ Test to make sure equivalent Travis O's r1array function
        """
        assert_(atleast_1d(3).shape == (1,))
        assert_(atleast_1d(3j).shape == (1,))
        assert_(atleast_1d(long(3)).shape == (1,))
        assert_(atleast_1d(3.0).shape == (1,))
        assert_(atleast_1d([[2, 3], [4, 5]]).shape == (2, 2))


class TestAtleast2d(TestCase):
    def test_0D_array(self):
        a = array(1)
        b = array(2)
        res = [atleast_2d(a), atleast_2d(b)]
        desired = [array([[1]]), array([[2]])]
        assert_array_equal(res, desired)

    def test_1D_array(self):
        a = array([1, 2])
        b = array([2, 3])
        res = [atleast_2d(a), atleast_2d(b)]
        desired = [array([[1, 2]]), array([[2, 3]])]
        assert_array_equal(res, desired)

    def test_2D_array(self):
        a = array([[1, 2], [1, 2]])
        b = array([[2, 3], [2, 3]])
        res = [atleast_2d(a), atleast_2d(b)]
        desired = [a, b]
        assert_array_equal(res, desired)

    def test_3D_array(self):
        a = array([[1, 2], [1, 2]])
        b = array([[2, 3], [2, 3]])
        a = array([a, a])
        b = array([b, b])
        res = [atleast_2d(a), atleast_2d(b)]
        desired = [a, b]
        assert_array_equal(res, desired)

    def test_r2array(self):
        """ Test to make sure equivalent Travis O's r2array function
        """
        assert_(atleast_2d(3).shape == (1, 1))
        assert_(atleast_2d([3j, 1]).shape == (1, 2))
        assert_(atleast_2d([[[3, 1], [4, 5]], [[3, 5], [1, 2]]]).shape == (2, 2, 2))


class TestAtleast3d(TestCase):
    def test_0D_array(self):
        a = array(1)
        b = array(2)
        res = [atleast_3d(a), atleast_3d(b)]
        desired = [array([[[1]]]), array([[[2]]])]
        assert_array_equal(res, desired)

    def test_1D_array(self):
        a = array([1, 2])
        b = array([2, 3])
        res = [atleast_3d(a), atleast_3d(b)]
        desired = [array([[[1], [2]]]), array([[[2], [3]]])]
        assert_array_equal(res, desired)

    def test_2D_array(self):
        a = array([[1, 2], [1, 2]])
        b = array([[2, 3], [2, 3]])
        res = [atleast_3d(a), atleast_3d(b)]
        desired = [a[:,:, newaxis], b[:,:, newaxis]]
        assert_array_equal(res, desired)

    def test_3D_array(self):
        a = array([[1, 2], [1, 2]])
        b = array([[2, 3], [2, 3]])
        a = array([a, a])
        b = array([b, b])
        res = [atleast_3d(a), atleast_3d(b)]
        desired = [a, b]
        assert_array_equal(res, desired)


class TestHstack(TestCase):
    def test_non_iterable(self):
        assert_raises(TypeError, hstack, 1)

    def test_0D_array(self):
        a = array(1)
        b = array(2)
        res = hstack([a, b])
        desired = array([1, 2])
        assert_array_equal(res, desired)

    def test_1D_array(self):
        a = array([1])
        b = array([2])
        res = hstack([a, b])
        desired = array([1, 2])
        assert_array_equal(res, desired)

    def test_2D_array(self):
        a = array([[1], [2]])
        b = array([[1], [2]])
        res = hstack([a, b])
        desired = array([[1, 1], [2, 2]])
        assert_array_equal(res, desired)


class TestVstack(TestCase):
    def test_non_iterable(self):
        assert_raises(TypeError, vstack, 1)

    def test_0D_array(self):
        a = array(1)
        b = array(2)
        res = vstack([a, b])
        desired = array([[1], [2]])
        assert_array_equal(res, desired)

    def test_1D_array(self):
        a = array([1])
        b = array([2])
        res = vstack([a, b])
        desired = array([[1], [2]])
        assert_array_equal(res, desired)

    def test_2D_array(self):
        a = array([[1], [2]])
        b = array([[1], [2]])
        res = vstack([a, b])
        desired = array([[1], [2], [1], [2]])
        assert_array_equal(res, desired)

    def test_2D_array2(self):
        a = array([1, 2])
        b = array([1, 2])
        res = vstack([a, b])
        desired = array([[1, 2], [1, 2]])
        assert_array_equal(res, desired)


class TestConcatenate(TestCase):
    def test_exceptions(self):
        # test axis must be in bounds
        for ndim in [1, 2, 3]:
            a = np.ones((1,)*ndim)
            np.concatenate((a, a), axis=0)  # OK
            assert_raises(IndexError, np.concatenate, (a, a), axis=ndim)
            assert_raises(IndexError, np.concatenate, (a, a), axis=-(ndim + 1))

        # Scalars cannot be concatenated
        assert_raises(ValueError, concatenate, (0,))
        assert_raises(ValueError, concatenate, (np.array(0),))

        # test shapes must match except for concatenation axis
        a = np.ones((1, 2, 3))
        b = np.ones((2, 2, 3))
        axis = list(range(3))
        for i in range(3):
            np.concatenate((a, b), axis=axis[0])  # OK
            assert_raises(ValueError, np.concatenate, (a, b), axis=axis[1])
            assert_raises(ValueError, np.concatenate, (a, b), axis=axis[2])
            a = np.rollaxis(a, -1)
            b = np.rollaxis(b, -1)
            axis.append(axis.pop(0))

        # No arrays to concatenate raises ValueError
        assert_raises(ValueError, concatenate, ())

    def test_concatenate_axis_None(self):
        a = np.arange(4, dtype=np.float64).reshape((2, 2))
        b = list(range(3))
        c = ['x']
        r = np.concatenate((a, a), axis=None)
        assert_equal(r.dtype, a.dtype)
        assert_equal(r.ndim, 1)
        r = np.concatenate((a, b), axis=None)
        assert_equal(r.size, a.size + len(b))
        assert_equal(r.dtype, a.dtype)
        r = np.concatenate((a, b, c), axis=None)
        d = array(['0.0', '1.0', '2.0', '3.0',
                   '0', '1', '2', 'x'])
        assert_array_equal(r, d)

    def test_large_concatenate_axis_None(self):
        # When no axis is given, concatenate uses flattened versions.
        # This also had a bug with many arrays (see gh-5979).
        x = np.arange(1, 100)
        r = np.concatenate(x, None)
        assert_array_equal(x, r)

        # This should probably be deprecated:
        r = np.concatenate(x, 100)  # axis is >= MAXDIMS
        assert_array_equal(x, r)

    def test_concatenate(self):
        # Test concatenate function
        # One sequence returns unmodified (but as array)
        r4 = list(range(4))
        assert_array_equal(concatenate((r4,)), r4)
        # Any sequence
        assert_array_equal(concatenate((tuple(r4),)), r4)
        assert_array_equal(concatenate((array(r4),)), r4)
        # 1D default concatenation
        r3 = list(range(3))
        assert_array_equal(concatenate((r4, r3)), r4 + r3)
        # Mixed sequence types
        assert_array_equal(concatenate((tuple(r4), r3)), r4 + r3)
        assert_array_equal(concatenate((array(r4), r3)), r4 + r3)
        # Explicit axis specification
        assert_array_equal(concatenate((r4, r3), 0), r4 + r3)
        # Including negative
        assert_array_equal(concatenate((r4, r3), -1), r4 + r3)
        # 2D
        a23 = array([[10, 11, 12], [13, 14, 15]])
        a13 = array([[0, 1, 2]])
        res = array([[10, 11, 12], [13, 14, 15], [0, 1, 2]])
        assert_array_equal(concatenate((a23, a13)), res)
        assert_array_equal(concatenate((a23, a13), 0), res)
        assert_array_equal(concatenate((a23.T, a13.T), 1), res.T)
        assert_array_equal(concatenate((a23.T, a13.T), -1), res.T)
        # Arrays much match shape
        assert_raises(ValueError, concatenate, (a23.T, a13.T), 0)
        # 3D
        res = arange(2 * 3 * 7).reshape((2, 3, 7))
        a0 = res[..., :4]
        a1 = res[..., 4:6]
        a2 = res[..., 6:]
        assert_array_equal(concatenate((a0, a1, a2), 2), res)
        assert_array_equal(concatenate((a0, a1, a2), -1), res)
        assert_array_equal(concatenate((a0.T, a1.T, a2.T), 0), res.T)


def test_stack():
    # non-iterable input
    assert_raises(TypeError, stack, 1)

    # 0d input
    for input_ in [(1, 2, 3),
                   [np.int32(1), np.int32(2), np.int32(3)],
                   [np.array(1), np.array(2), np.array(3)]]:
        assert_array_equal(stack(input_), [1, 2, 3])
    # 1d input examples
    a = np.array([1, 2, 3])
    b = np.array([4, 5, 6])
    r1 = array([[1, 2, 3], [4, 5, 6]])
    assert_array_equal(np.stack((a, b)), r1)
    assert_array_equal(np.stack((a, b), axis=1), r1.T)
    # all input types
    assert_array_equal(np.stack(list([a, b])), r1)
    assert_array_equal(np.stack(array([a, b])), r1)
    # all shapes for 1d input
    arrays = [np.random.randn(3) for _ in range(10)]
    axes = [0, 1, -1, -2]
    expected_shapes = [(10, 3), (3, 10), (3, 10), (10, 3)]
    for axis, expected_shape in zip(axes, expected_shapes):
        assert_equal(np.stack(arrays, axis).shape, expected_shape)
    assert_raises_regex(IndexError, 'out of bounds', stack, arrays, axis=2)
    assert_raises_regex(IndexError, 'out of bounds', stack, arrays, axis=-3)
    # all shapes for 2d input
    arrays = [np.random.randn(3, 4) for _ in range(10)]
    axes = [0, 1, 2, -1, -2, -3]
    expected_shapes = [(10, 3, 4), (3, 10, 4), (3, 4, 10),
                        (3, 4, 10), (3, 10, 4), (10, 3, 4)]
    for axis, expected_shape in zip(axes, expected_shapes):
        assert_equal(np.stack(arrays, axis).shape, expected_shape)
    # empty arrays
    assert_(stack([[], [], []]).shape == (3, 0))
    assert_(stack([[], [], []], axis=1).shape == (0, 3))
    # edge cases
    assert_raises_regex(ValueError, 'need at least one array', stack, [])
    assert_raises_regex(ValueError, 'must have the same shape',
                        stack, [1, np.arange(3)])
    assert_raises_regex(ValueError, 'must have the same shape',
                        stack, [np.arange(3), 1])
    assert_raises_regex(ValueError, 'must have the same shape',
                        stack, [np.arange(3), 1], axis=1)
    assert_raises_regex(ValueError, 'must have the same shape',
                        stack, [np.zeros((3, 3)), np.zeros(3)], axis=1)
    assert_raises_regex(ValueError, 'must have the same shape',
                        stack, [np.arange(2), np.arange(3)])
    # np.matrix
    m = np.matrix([[1, 2], [3, 4]])
    assert_raises_regex(ValueError, 'shape too large to be a matrix',
                        stack, [m, m])


if __name__ == "__main__":
    run_module_suite()

APT Browse - Built by Thomas Orozco.