Python apply_tag Exemples

Exemple #1

Fichier : test_matrix_linalg.py Projet : bunny-10/opencv-face

import numpy as np

from numpy.linalg.tests.test_linalg import (
    LinalgCase, apply_tag, TestQR as _TestQR, LinalgTestCase, _TestNorm2D,
    _TestNormDoubleBase, _TestNormSingleBase, _TestNormInt64Base, SolveCases,
    InvCases, EigvalsCases, EigCases, SVDCases, CondCases, PinvCases, DetCases,
    LstsqCases)

CASES = []

# square test cases
CASES += apply_tag('square', [
    LinalgCase("0x0_matrix",
               np.empty((0, 0), dtype=np.double).view(np.matrix),
               np.empty((0, 1), dtype=np.double).view(np.matrix),
               tags={'size-0'}),
    LinalgCase("matrix_b_only", np.array([[1., 2.], [3., 4.]]),
               np.matrix([2., 1.]).T),
    LinalgCase("matrix_a_and_b", np.matrix([[1., 2.], [3., 4.]]),
               np.matrix([2., 1.]).T),
])

# hermitian test-cases
CASES += apply_tag('hermitian', [
    LinalgCase("hmatrix_a_and_b", np.matrix([[1., 2.], [2., 1.]]), None),
])
# No need to make generalized or strided cases for matrices.


class MatrixTestCase(LinalgTestCase):
    TEST_CASES = CASES

Exemple #2

Fichier : test_matrix_linalg.py Projet : hlord2000/gt_scheduling_bot

)


CASES = []

# square test cases
CASES += apply_tag(
    "square",
    [
        LinalgCase(
            "0x0_matrix",
            np.empty((0, 0), dtype=np.double).view(np.matrix),
            np.empty((0, 1), dtype=np.double).view(np.matrix),
            tags={"size-0"},
        ),
        LinalgCase(
            "matrix_b_only", np.array([[1.0, 2.0], [3.0, 4.0]]), np.matrix([2.0, 1.0]).T
        ),
        LinalgCase(
            "matrix_a_and_b",
            np.matrix([[1.0, 2.0], [3.0, 4.0]]),
            np.matrix([2.0, 1.0]).T,
        ),
    ],
)

# hermitian test-cases
CASES += apply_tag(
    "hermitian",
    [
        LinalgCase("hmatrix_a_and_b", np.matrix([[1.0, 2.0], [2.0, 1.0]]), None),

Exemple #3

Fichier : test_matrix_linalg.py Projet : Jengel1/SunriseSunsetTimeFinder

from numpy.linalg.tests.test_linalg import (
    LinalgCase, apply_tag, TestQR as _TestQR, LinalgTestCase,
    _TestNorm2D, _TestNormDoubleBase, _TestNormSingleBase, _TestNormInt64Base,
    SolveCases, InvCases, EigvalsCases, EigCases, SVDCases, CondCases,
    PinvCases, DetCases, LstsqCases)


CASES = []

# square test cases
CASES += apply_tag('square', [
    LinalgCase("0x0_matrix",
               np.empty((0, 0), dtype=np.double).view(np.matrix),
               np.empty((0, 1), dtype=np.double).view(np.matrix),
               tags={'size-0'}),
    LinalgCase("matrix_b_only",
               np.array([[1., 2.], [3., 4.]]),
               np.matrix([2., 1.]).T),
    LinalgCase("matrix_a_and_b",
               np.matrix([[1., 2.], [3., 4.]]),
               np.matrix([2., 1.]).T),
])

# hermitian test-cases
CASES += apply_tag('hermitian', [
    LinalgCase("hmatrix_a_and_b",
               np.matrix([[1., 2.], [2., 1.]]),
               None),
])
# No need to make generalized or strided cases for matrices.