forked from M-Labs/artiq
test/coredevice: Avoid NumPy deprecation warning
Jagged arrays are no longer silently inferred as dtype=object, as per NEP-34. The compiler ndarray (re)implementation is unchanged, so the test still fails.
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@ -79,11 +79,11 @@ class RoundtripTest(ExperimentCase):
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self.assertArrayRoundtrip(numpy.array([["a", "b"], ["c", "d"]]))
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self.assertArrayRoundtrip(numpy.array([["a", "b"], ["c", "d"]]))
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# FIXME: This should work, but currently passes as the argument is just
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# FIXME: This should work, but currently passes as the argument is just
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# synthesised as the same call to array(), instead of using the "type
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# synthesised as a call to array() without forwarding the dype form the host
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# inference" result from the host NumPy implementation.
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# NumPy object.
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@unittest.expectedFailure
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@unittest.expectedFailure
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def test_array_jagged(self):
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def test_array_jagged(self):
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self.assertArrayRoundtrip(numpy.array([[1, 2], [3]]))
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self.assertArrayRoundtrip(numpy.array([[1, 2], [3]], dtype=object))
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class _DefaultArg(EnvExperiment):
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class _DefaultArg(EnvExperiment):
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