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import sparse
from sparse.numba_backend._utils import assert_eq
import pytest
FORMATS_ND = [
sparse.COO,
sparse.DOK,
sparse.GCXS,
]
FORMATS_2D = [
sparse.numba_backend._compressed.CSC,
sparse.numba_backend._compressed.CSR,
]
FORMATS = FORMATS_2D + FORMATS_ND
@pytest.mark.parametrize("format1", FORMATS)
@pytest.mark.parametrize("format2", FORMATS)
def test_conversion(format1, format2):
x = sparse.random((10, 10), density=0.5, format=format1, fill_value=0.5)
y = x.asformat(format2)
assert_eq(x, y)
def test_extra_kwargs():
x = sparse.full((2, 2), 1, format="gcxs", compressed_axes=[1])
y = sparse.full_like(x, 1)
assert_eq(x, y)
@pytest.mark.parametrize("format1", FORMATS_ND)
@pytest.mark.parametrize("format2", FORMATS_ND)
def test_conversion_scalar(format1, format2):
x = sparse.random((), format=format1, fill_value=0.5)
y = x.asformat(format2)
assert_eq(x, y)
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