from interpolation.splines import eval_cubic
vals = np.random.random((7,7,2))
grid = ((-0.053333333333333344, 0.053333333333333344, 5), (5.0, 15.0, 5))
# this works
points = np.array([[0., 9.35497829]])
x = eval_cubic(grid, vals, points)
#
pp = points.copy()
pp.flags.writeable = False
x = eval_cubic(grid, vals, pp)
The latest fails with error
Traceback (most recent call last):
File "tt.py", line 14, in <module>
x = eval_cubic(grid, vals, pp)
File "/home/pablo/.cache/pypoetry/virtualenvs/dolo-kQ5NCRS9-py3.8/lib/python3.8/site-packages/numba/core/dispatcher.py", line 415, in _compile_for_args
error_rewrite(e, 'typing')
File "/home/pablo/.cache/pypoetry/virtualenvs/dolo-kQ5NCRS9-py3.8/lib/python3.8/site-packages/numba/core/dispatcher.py", line 358, in error_rewrite
reraise(type(e), e, None)
File "/home/pablo/.cache/pypoetry/virtualenvs/dolo-kQ5NCRS9-py3.8/lib/python3.8/site-packages/numba/core/utils.py", line 80, in reraise
raise value.with_traceback(tb)
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
No implementation of function Function(<function _eval_cubic at 0x7f46bd063c10>) found for signature:
>>> _eval_cubic(UniTuple(Tuple(float64, float64, int64) x 2), array(float64, 3d, C), readonly array(float64, 2d, C))
It is plausible that the dispatch in interpolation.py does not correcly identify readonly arrays as a subclass of array.
The latest fails with error
It is plausible that the dispatch in interpolation.py does not correcly identify readonly arrays as a subclass of array.