forked from M-Labs/nac3
standalone: Add np_array tests
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@ -170,6 +170,7 @@ def patch(module):
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module.np_full = np.full
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module.np_full = np.full
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module.np_eye = np.eye
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module.np_eye = np.eye
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module.np_identity = np.identity
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module.np_identity = np.identity
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module.np_array = np.array
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# NumPy Math functions
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# NumPy Math functions
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module.np_isnan = np.isnan
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module.np_isnan = np.isnan
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@ -97,6 +97,19 @@ def test_ndarray_eye():
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n: ndarray[float, 2] = np_eye(2)
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n: ndarray[float, 2] = np_eye(2)
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output_ndarray_float_2(n)
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output_ndarray_float_2(n)
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def test_ndarray_array():
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n1: ndarray[float, 1] = np_array([1.0, 2.0, 3.0])
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output_ndarray_float_1(n1)
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n1to2: ndarray[float, 2] = np_array([1.0, 2.0, 3.0], ndmin=2)
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output_ndarray_float_2(n1to2)
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n2: ndarray[float, 2] = np_array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
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output_ndarray_float_2(n2)
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# Copy
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n2_cpy: ndarray[float, 2] = np_array(n2, copy=False)
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n2_cpy.fill(0.0)
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output_ndarray_float_2(n2_cpy)
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def test_ndarray_identity():
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def test_ndarray_identity():
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n: ndarray[float, 2] = np_identity(2)
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n: ndarray[float, 2] = np_identity(2)
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output_ndarray_float_2(n)
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output_ndarray_float_2(n)
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@ -1373,6 +1386,7 @@ def run() -> int32:
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test_ndarray_ones()
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test_ndarray_ones()
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test_ndarray_full()
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test_ndarray_full()
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test_ndarray_eye()
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test_ndarray_eye()
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test_ndarray_array()
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test_ndarray_identity()
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test_ndarray_identity()
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test_ndarray_fill()
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test_ndarray_fill()
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test_ndarray_copy()
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test_ndarray_copy()
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