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Just check for a float dtype, instead of force changing it. #354

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Just check for a float dtype, instead of force changing it. #354

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5 changes: 3 additions & 2 deletions reproject/interpolation/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -91,8 +91,9 @@ def _reproject_full(
the same coordinate information. The transformation is computed once and
"broadcast" across those images.
"""
# Make sure image is floating point
array = np.asarray(array, dtype=float)
# Make sure image is floating point.
if not np.issubdtype(array.dtype, np.floating):
raise ValueError("Input array must be floating point.")
# shape_out must be exactly a tuple type
shape_out = tuple(shape_out)
_validate_wcs(wcs_in, wcs_out, array.shape, shape_out)
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