Repository navigation
Expand file tree
/
Copy pathtest_pyarray.py
More file actions
89 lines (72 loc) · 3.14 KB
/
Copy pathtest_pyarray.py
File metadata and controls
89 lines (72 loc) · 3.14 KB
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
############################################################################
# Copyright (c) 2016, Johan Mabille and Sylvain Corlay #
# #
# Distributed under the terms of the BSD 3-Clause License. #
# #
# The full license is in the file LICENSE, distributed with this software. #
############################################################################
import os
import sys
import subprocess
# Build the test extension
here = os.path.abspath(os.path.dirname(__file__))
subprocess.check_call([sys.executable, os.path.join(here, 'setup.py'), 'build_ext', '--inplace'], cwd=here)
# Test it!
from unittest import TestCase
import xtensor_python_test as xt
import numpy as np
class ExampleTest(TestCase):
def test_example1(self):
self.assertEqual(4, xt.example1([4, 5, 6]))
def test_example2(self):
x = np.array([[0., 1.], [2., 3.]])
res = np.array([[2., 3.], [4., 5.]])
y = xt.example2(x)
np.testing.assert_allclose(y, res, 1e-12)
def test_vectorize(self):
x1 = np.array([[0, 1], [2, 3]])
x2 = np.array([0, 1])
res = np.array([[0, 2], [2, 4]])
y = xt.vectorize_example1(x1, x2)
np.testing.assert_array_equal(y, res)
def test_readme_example1(self):
v = np.arange(15).reshape(3, 5)
y = xt.readme_example1(v)
np.testing.assert_allclose(y, 1.2853996391883833, 1e-12)
def test_complex_overload_reg(self):
a = 23.23
c = 2.0 + 3.1j
self.assertEqual(xt.complex_overload_reg(a), a)
self.assertEqual(xt.complex_overload_reg(c), c)
def test_complex_overload(self):
a = np.random.rand(3, 3)
b = np.random.rand(3, 3)
c = a + b * 1j
y = xt.complex_overload(c)
np.testing.assert_allclose(np.imag(y), np.imag(c))
np.testing.assert_allclose(np.real(y), np.real(c))
x = xt.complex_overload(b)
self.assertEqual(x.dtype, b.dtype)
np.testing.assert_allclose(x, b)
def test_readme_example2(self):
x = np.arange(15).reshape(3, 5)
y = [1, 2, 3, 4, 5]
z = xt.readme_example2(x, y)
np.testing.assert_allclose(z,
[[-0.540302, 1.257618, 1.89929 , 0.794764, -1.040465],
[-1.499227, 0.136731, 1.646979, 1.643002, 0.128456],
[-1.084323, -0.583843, 0.45342 , 1.073811, 0.706945]], 1e-5)
def test_rect_to_polar(self):
x = np.ones(10, dtype=complex)
z = xt.rect_to_polar(x[::2]);
np.testing.assert_allclose(z, np.ones(5, dtype=float), 1e-5)
def test_shape_comparison(self):
x = np.ones([4, 4])
y = np.ones([5, 5])
z = np.zeros([4, 4])
self.assertFalse(xt.compare_shapes(x, y))
self.assertTrue(xt.compare_shapes(x, z))
def test_int_overload(self):
for dtype in [np.uint8, np.int8, np.uint16, np.int16, np.uint32, np.int32, np.uint64, np.int64]:
b = xt.int_overload(np.ones((10), dtype))
self.assertEqual(str(dtype.__name__), b)