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Merge pull request #1632 from pijyoi/clip_regression

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rescaleData : workaround np.clip regression since numpy 1.17
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Ogi Moore 2021-03-14 08:52:31 -07:00 committed by GitHub
commit 63c19800d2
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1 changed files with 18 additions and 11 deletions
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29
pyqtgraph/functions.py
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@ -1009,7 +1009,18 @@ def rescaleData(data, scale, offset, dtype=None, clip=None):
dtype = data.dtype
else:
dtype = np.dtype(dtype)
vmin, vmax = None, None
if dtype.kind in 'ui':
lim = np.iinfo(dtype)
if clip is None:
# don't let rescale cause integer overflow
vmin, vmax = lim.min, lim.max
else:
vmin, vmax = max(clip[0], lim.min), min(clip[1], lim.max)
elif clip is not None:
vmin, vmax = clip
if np.can_cast(data, np.float32):
work_dtype = np.float32
else:
@ -1019,16 +1030,12 @@ def rescaleData(data, scale, offset, dtype=None, clip=None):
d2 *= scale
# Clip before converting dtype to avoid overflow
if dtype.kind in 'ui':
lim = np.iinfo(dtype)
if clip is None:
# don't let rescale cause integer overflow
np.clip(d2, lim.min, lim.max, out=d2)
else:
np.clip(d2, max(clip[0], lim.min), min(clip[1], lim.max), out=d2)
else:
if clip is not None:
np.clip(d2, *clip, out=d2)
# regression in np.clip performance since numpy 1.17
if vmin is not None:
np.core.umath.maximum(d2, vmin, out=d2)
if vmax is not None:
np.core.umath.minimum(d2, vmax, out=d2)
# don't copy if no change in dtype
data = d2.astype(dtype, copy=False)
return data