mirror of https://github.com/m-labs/artiq.git
48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
# RUN: %python -m artiq.compiler.testbench.jit %s
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# REQUIRES: exceptions
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ary = array([1, 2, 3])
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assert len(ary) == 3
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assert ary.shape == (3,)
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assert [x * x for x in ary] == [1, 4, 9]
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# Reassign to an existing value to disambiguate type of empty array.
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empty_array = array([1])
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empty_array = array([])
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assert len(empty_array) == 0
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assert empty_array.shape == (0,)
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assert [x * x for x in empty_array] == []
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# Creating arrays from generic iterables, rectangularity is assumed (and ensured
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# with runtime checks).
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list_of_lists = [[1, 2], [3, 4]]
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array_of_lists = array(list_of_lists)
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assert array_of_lists.shape == (2, 2)
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assert [[y for y in x] for x in array_of_lists] == list_of_lists
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matrix = array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
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assert len(matrix) == 2
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assert matrix.shape == (2, 3)
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# FIXME: Need to decide on a solution for array comparisons —
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# NumPy returns an array of bools!
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# assert [x for x in matrix] == [array([1.0, 2.0, 3.0]), array([4.0, 5.0, 6.0])]
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assert matrix[0][0] == 1.0
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assert matrix[0][1] == 2.0
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assert matrix[0][2] == 3.0
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assert matrix[1][0] == 4.0
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assert matrix[1][1] == 5.0
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assert matrix[1][2] == 6.0
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matrix[0][0] = 7.0
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matrix[1][1] = 8.0
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assert matrix[0][0] == 7.0
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assert matrix[0][1] == 2.0
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assert matrix[0][2] == 3.0
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assert matrix[1][0] == 4.0
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assert matrix[1][1] == 8.0
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assert matrix[1][2] == 6.0
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three_tensor = array([[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]])
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assert len(three_tensor) == 1
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assert three_tensor.shape == (1, 2, 3)
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