############################################################################
# Copyright (c) Wolf Vollprecht, Johan Mabille and Sylvain Corlay #
# Copyright (c) QuantStack #
# #
# 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 XtensorTest(TestCase):
"""
def test_rm(self):
xt.test_rm(np.array([10], dtype=int))
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_example3(self):
x = np.arange(2 * 3).reshape(2, 3)
xc = np.asfortranarray(x)
y = np.arange(2 * 3 * 4).reshape(2, 3, 4)
v = y[1:, 1:, 0]
z = np.arange(2 * 3 * 4 * 5).reshape(2, 3, 4, 5)
np.testing.assert_array_equal(xt.example3_xarray(x), x.T + 2)
np.testing.assert_array_equal(xt.example3_xarray_colmajor(xc), xc.T + 2)
np.testing.assert_array_equal(xt.example3_xtensor3(y), y.T + 2)
np.testing.assert_array_equal(xt.example3_xtensor2(x), x.T + 2)
np.testing.assert_array_equal(xt.example3_xtensor2(y[1:, 1:, 0]), v.T + 2)
np.testing.assert_array_equal(xt.example3_xtensor2_colmajor(xc), xc.T + 2)
np.testing.assert_array_equal(xt.example3_xfixed3(y), y.T + 2)
np.testing.assert_array_equal(xt.example3_xfixed2(x), x.T + 2)
np.testing.assert_array_equal(xt.example3_xfixed2_colmajor(xc), xc.T + 2)
with self.assertRaises(TypeError):
xt.example3_xtensor3(x)
with self.assertRaises(TypeError):
xt.example3_xfixed3(x)
with self.assertRaises(TypeError):
x = np.arange(3*2).reshape(3, 2)
xt.example3_xfixed2(x)
"""
def test_broadcast_addition(self):
x = np.array([[2., 3., 4., 5.]])
y = np.array([[1., 2., 3., 4.],
[1., 2., 3., 4.],
[1., 2., 3., 4.]])
res = np.array([[3., 5., 7., 9.],
[3., 5., 7., 9.],
[3., 5., 7., 9.]])
z = xt.array_addition(x, y)
np.testing.assert_allclose(z, res, 1e-12)
"""
def test_broadcast_subtraction(self):
x = np.array([[4., 5., 6., 7.]])
y = np.array([[4., 3., 2., 1.],
[4., 3., 2., 1.],
[4., 3., 2., 1.]])
res = np.array([[0., 2., 4., 6.],
[0., 2., 4., 6.],
[0., 2., 4., 6.]])
z = xt.array_subtraction(x, y)
np.testing.assert_allclose(z, res, 1e-12)
def test_broadcast_multiplication(self):
x = np.array([[1., 2., 3., 4.]])
y = np.array([[3., 2., 3., 2.],
[3., 2., 3., 2.],
[3., 2., 3., 2.]])
res = np.array([[3., 4., 9., 8.],
[3., 4., 9., 8.],
[3., 4., 9., 8.]])
z = xt.array_multiplication(x, y)
np.testing.assert_allclose(z, res, 1e-12)
def test_broadcast_division(self):
x = np.array([[8., 6., 4., 2.]])
y = np.array([[2., 2., 2., 2.],
[2., 2., 2., 2.],
[2., 2., 2., 2.]])
res = np.array([[4., 3., 2., 1.],
[4., 3., 2., 1.],
[4., 3., 2., 1.]])
z = xt.array_division(x, y)
np.testing.assert_allclose(z, 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)
def test_dtype(self):
var = xt.dtype_to_python()
self.assertEqual(var.dtype.names, ('a', 'b', 'c', 'x'))
exp_dtype = {
'a': (np.dtype('float64'), 0),
'b': (np.dtype('int32'), 8),
'c': (np.dtype('int8'), 12),
'x': (np.dtype(('