Best Python code snippet using pytest-mock
test_numpy_vectorize.py
Source:test_numpy_vectorize.py
...6 assert np.isclose(m.vectorized_func3(np.array(3 + 7j)), [6 + 14j])7 for f in [m.vectorized_func, m.vectorized_func2]:8 with capture:9 assert np.isclose(f(1, 2, 3), 6)10 assert capture == "my_func(x:int=1, y:float=2, z:float=3)"11 with capture:12 assert np.isclose(f(np.array(1), np.array(2), 3), 6)13 assert capture == "my_func(x:int=1, y:float=2, z:float=3)"14 with capture:15 assert np.allclose(f(np.array([1, 3]), np.array([2, 4]), 3), [6, 36])16 assert capture == """17 my_func(x:int=1, y:float=2, z:float=3)18 my_func(x:int=3, y:float=4, z:float=3)19 """20 with capture:21 a = np.array([[1, 2], [3, 4]], order='F')22 b = np.array([[10, 20], [30, 40]], order='F')23 c = 324 result = f(a, b, c)25 assert np.allclose(result, a * b * c)26 assert result.flags.f_contiguous27 # All inputs are F order and full or singletons, so we the result is in col-major order:28 assert capture == """29 my_func(x:int=1, y:float=10, z:float=3)30 my_func(x:int=3, y:float=30, z:float=3)31 my_func(x:int=2, y:float=20, z:float=3)32 my_func(x:int=4, y:float=40, z:float=3)33 """34 with capture:35 a, b, c = np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 336 assert np.allclose(f(a, b, c), a * b * c)37 assert capture == """38 my_func(x:int=1, y:float=2, z:float=3)39 my_func(x:int=3, y:float=4, z:float=3)40 my_func(x:int=5, y:float=6, z:float=3)41 my_func(x:int=7, y:float=8, z:float=3)42 my_func(x:int=9, y:float=10, z:float=3)43 my_func(x:int=11, y:float=12, z:float=3)44 """45 with capture:46 a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 247 assert np.allclose(f(a, b, c), a * b * c)48 assert capture == """49 my_func(x:int=1, y:float=2, z:float=2)50 my_func(x:int=2, y:float=3, z:float=2)51 my_func(x:int=3, y:float=4, z:float=2)52 my_func(x:int=4, y:float=2, z:float=2)53 my_func(x:int=5, y:float=3, z:float=2)54 my_func(x:int=6, y:float=4, z:float=2)55 """56 with capture:57 a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 258 assert np.allclose(f(a, b, c), a * b * c)59 assert capture == """60 my_func(x:int=1, y:float=2, z:float=2)61 my_func(x:int=2, y:float=2, z:float=2)62 my_func(x:int=3, y:float=2, z:float=2)63 my_func(x:int=4, y:float=3, z:float=2)64 my_func(x:int=5, y:float=3, z:float=2)65 my_func(x:int=6, y:float=3, z:float=2)66 """67 with capture:68 a, b, c = np.array([[1, 2, 3], [4, 5, 6]], order='F'), np.array([[2], [3]]), 269 assert np.allclose(f(a, b, c), a * b * c)70 assert capture == """71 my_func(x:int=1, y:float=2, z:float=2)72 my_func(x:int=2, y:float=2, z:float=2)73 my_func(x:int=3, y:float=2, z:float=2)74 my_func(x:int=4, y:float=3, z:float=2)75 my_func(x:int=5, y:float=3, z:float=2)76 my_func(x:int=6, y:float=3, z:float=2)77 """78 with capture:79 a, b, c = np.array([[1, 2, 3], [4, 5, 6]])[::, ::2], np.array([[2], [3]]), 280 assert np.allclose(f(a, b, c), a * b * c)81 assert capture == """82 my_func(x:int=1, y:float=2, z:float=2)83 my_func(x:int=3, y:float=2, z:float=2)84 my_func(x:int=4, y:float=3, z:float=2)85 my_func(x:int=6, y:float=3, z:float=2)86 """87 with capture:88 a, b, c = np.array([[1, 2, 3], [4, 5, 6]], order='F')[::, ::2], np.array([[2], [3]]), 289 assert np.allclose(f(a, b, c), a * b * c)90 assert capture == """91 my_func(x:int=1, y:float=2, z:float=2)92 my_func(x:int=3, y:float=2, z:float=2)93 my_func(x:int=4, y:float=3, z:float=2)94 my_func(x:int=6, y:float=3, z:float=2)95 """96def test_type_selection():97 assert m.selective_func(np.array([1], dtype=np.int32)) == "Int branch taken."98 assert m.selective_func(np.array([1.0], dtype=np.float32)) == "Float branch taken."99 assert m.selective_func(np.array([1.0j], dtype=np.complex64)) == "Complex float branch taken."100def test_docs(doc):101 assert doc(m.vectorized_func) == """102 vectorized_func(arg0: numpy.ndarray[numpy.int32], arg1: numpy.ndarray[numpy.float32], arg2: numpy.ndarray[numpy.float64]) -> object103 """ # noqa: E501 line too long104def test_trivial_broadcasting():105 trivial, vectorized_is_trivial = m.trivial, m.vectorized_is_trivial106 assert vectorized_is_trivial(1, 2, 3) == trivial.c_trivial107 assert vectorized_is_trivial(np.array(1), np.array(2), 3) == trivial.c_trivial108 assert vectorized_is_trivial(np.array([1, 3]), np.array([2, 4]), 3) == trivial.c_trivial...
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