standalone: add np.transpose and np.reshape functions
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@ -218,6 +218,8 @@ def patch(module):
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module.np_ldexp = np.ldexp
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module.np_ldexp = np.ldexp
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module.np_hypot = np.hypot
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module.np_hypot = np.hypot
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module.np_nextafter = np.nextafter
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module.np_nextafter = np.nextafter
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module.np_transpose = np.transpose
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module.np_reshape = np.reshape
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# SciPy Math functions
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# SciPy Math functions
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module.sp_spec_erf = special.erf
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module.sp_spec_erf = special.erf
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@ -1429,6 +1429,27 @@ def test_ndarray_nextafter_broadcast_rhs_scalar():
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output_ndarray_float_2(nextafter_x_zeros)
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output_ndarray_float_2(nextafter_x_zeros)
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output_ndarray_float_2(nextafter_x_ones)
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output_ndarray_float_2(nextafter_x_ones)
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def test_ndarray_transpose():
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x: ndarray[float, 2] = np_array([[1., 2., 3.], [4., 5., 6.]])
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y = np_transpose(x)
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z = np_transpose(y)
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output_ndarray_float_2(x)
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output_ndarray_float_2(y)
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def test_ndarray_reshape():
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w: ndarray[float, 1] = np_array([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
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x = np_reshape(w, (1, 2, 1, -1))
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y = np_reshape(x, [2, -1])
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z = np_reshape(y, 10)
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x1: ndarray[int32, 1] = np_array([1, 2, 3, 4])
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x2: ndarray[int32, 2] = np_reshape(x1, (2, 2))
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output_ndarray_float_1(w)
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output_ndarray_float_2(y)
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output_ndarray_float_1(z)
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def test_ndarray_dot():
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def test_ndarray_dot():
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x: ndarray[float, 1] = np_array([5.0, 1.0])
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x: ndarray[float, 1] = np_array([5.0, 1.0])
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y: ndarray[float, 1] = np_array([5.0, 1.0])
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y: ndarray[float, 1] = np_array([5.0, 1.0])
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@ -1705,7 +1726,9 @@ def run() -> int32:
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test_ndarray_nextafter_broadcast()
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test_ndarray_nextafter_broadcast()
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test_ndarray_nextafter_broadcast_lhs_scalar()
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test_ndarray_nextafter_broadcast_lhs_scalar()
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test_ndarray_nextafter_broadcast_rhs_scalar()
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test_ndarray_nextafter_broadcast_rhs_scalar()
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test_ndarray_transpose()
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test_ndarray_reshape()
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test_ndarray_dot()
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test_ndarray_dot()
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test_ndarray_linalg_matmul()
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test_ndarray_linalg_matmul()
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test_ndarray_cholesky()
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test_ndarray_cholesky()
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