forked from M-Labs/artiq
925014689e
Strided slicing of one-dimensional arrays (i.e. with non-trivial steps) might have previously been working, but would have had different semantics, as all slices were copies rather than a view into the original data. Fixing this in the future will require adding support for an index stride field/tuple to our array representation (and all the associated indexing logic). GitHub: Fixes #1627.
17 lines
476 B
Python
17 lines
476 B
Python
# RUN: %python -m artiq.compiler.testbench.inferencer +diag %s >%t
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# RUN: OutputCheck %s --file-to-check=%t
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# CHECK-L: ${LINE:+1}: error: array cannot be invoked with the arguments ()
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a = array()
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b = array([1, 2, 3])
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# CHECK-L: ${LINE:+1}: error: too many indices for array of dimension 1
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b[1, 2]
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# CHECK-L: ${LINE:+1}: error: strided slicing not yet supported for NumPy arrays
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b[::-1]
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# CHECK-L: ${LINE:+1}: error: array attributes cannot be assigned to
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b.shape = (5, )
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