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* ENH: support int8 * add support for 8-bit signed integers with values that should exist on the interval `[-128, 127]` for conformance with the array API: https://data-apis.org/array-api/latest/API_specification/data_types.html kokkos/pykokkos#57 * add a regression test for kokkos<->NumPy type equivalencies that includes the new `int8` type; I was hoping to do some simple arithmetic testing as well, but not sure how practical that is within `pykokkos-base` proper (maybe defer that kind of thing to `pykokkos`?) * MAINT: PR 43 revisions * format with `black` because of a failing CI check * use `signed_char` as the shorthand for `int8`, for similarity with: https://numpy.org/doc/stable/user/basics.types.html
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import kokkos | ||
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import numpy as np | ||
import pytest | ||
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@pytest.mark.parametrize( | ||
"type_val, expected_np_type", | ||
[ | ||
(kokkos.int8, np.int8), | ||
(kokkos.int16, np.int16), | ||
(kokkos.int32, np.int32), | ||
(kokkos.int64, np.int64), | ||
(kokkos.uint16, np.uint16), | ||
(kokkos.uint32, np.uint32), | ||
(kokkos.uint64, np.uint64), | ||
(kokkos.float32, np.float32), | ||
(kokkos.float64, np.float64), | ||
(kokkos.float, np.float32), | ||
(kokkos.double, np.float64), | ||
(kokkos.short, np.int16), | ||
(kokkos.int, np.int32), | ||
(kokkos.long, np.int64), | ||
], | ||
) | ||
def test_basic_type_equiv(type_val, expected_np_type): | ||
# test some view to NumPy array type equivalencies | ||
kokkos.initialize() | ||
view = kokkos.array([2], dtype=type_val, space=kokkos.DefaultHostMemorySpace) | ||
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# NOTE: copy can still happen (attempt no copy, | ||
# not guarantee) | ||
arr = np.array(view, copy=False) | ||
assert arr.dtype == expected_np_type |
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