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Improve consistency of ndarray members

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This commit is contained in:
Jan Petykiewicz 2020-05-11 18:49:30 -07:00
commit fa8fc52dd6
6 changed files with 9 additions and 9 deletions
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masque/repetition.py
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@ -225,7 +225,7 @@ class GridRepetition:
def mirrored(self, val: List[bool]):
if is_scalar(val):
raise PatternError('Mirrored must be a 2-element list of booleans')
self._mirrored = numpy.array(val, dtype=bool)
self._mirrored = numpy.array(val, dtype=bool, copy=True)
# a_vector property
@property
@ -239,7 +239,7 @@ class GridRepetition:
if val.size != 2:
raise PatternError('a_vector must be convertible to size-2 ndarray')
self._a_vector = val.flatten()
self._a_vector = val.flatten().astype(float)
# b_vector property
@property
@ -249,7 +249,7 @@ class GridRepetition:
@b_vector.setter
def b_vector(self, val: vector2):
if not isinstance(val, numpy.ndarray):
val = numpy.array(val, dtype=float)
val = numpy.array(val, dtype=float, copy=True)
if val.size != 2:
raise PatternError('b_vector must be convertible to size-2 ndarray')