remote legacy work-around for old numpy errors (#1046)
* remote legacy work-around for old numpy errors * forgot to remove the numpy_fix import * require numyp >= 1.8.0
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@ -29,9 +29,6 @@ if sys.version_info[0] < 2 or (sys.version_info[0] == 2 and sys.version_info[1]
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## helpers for 2/3 compatibility
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## helpers for 2/3 compatibility
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from . import python2_3
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from . import python2_3
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## install workarounds for numpy bugs
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from . import numpy_fix
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## in general openGL is poorly supported with Qt+GraphicsView.
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## in general openGL is poorly supported with Qt+GraphicsView.
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## we only enable it where the performance benefit is critical.
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## we only enable it where the performance benefit is critical.
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## Note this only applies to 2D graphics; 3D graphics always use OpenGL.
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## Note this only applies to 2D graphics; 3D graphics always use OpenGL.
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@ -1,22 +0,0 @@
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try:
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import numpy as np
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## Wrap np.concatenate to catch and avoid a segmentation fault bug
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## (numpy trac issue #2084)
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if not hasattr(np, 'concatenate_orig'):
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np.concatenate_orig = np.concatenate
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def concatenate(vals, *args, **kwds):
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"""Wrapper around numpy.concatenate (see pyqtgraph/numpy_fix.py)"""
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dtypes = [getattr(v, 'dtype', None) for v in vals]
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names = [getattr(dt, 'names', None) for dt in dtypes]
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if len(dtypes) < 2 or all([n is None for n in names]):
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return np.concatenate_orig(vals, *args, **kwds)
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if any([dt != dtypes[0] for dt in dtypes[1:]]):
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raise TypeError("Cannot concatenate structured arrays of different dtype.")
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return np.concatenate_orig(vals, *args, **kwds)
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np.concatenate = concatenate
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except ImportError:
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pass
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2
setup.py
2
setup.py
@ -141,7 +141,7 @@ setup(
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package_dir={'pyqtgraph.examples': 'examples'}, ## install examples along with the rest of the source
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package_dir={'pyqtgraph.examples': 'examples'}, ## install examples along with the rest of the source
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package_data={'pyqtgraph.examples': ['optics/*.gz', 'relativity/presets/*.cfg']},
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package_data={'pyqtgraph.examples': ['optics/*.gz', 'relativity/presets/*.cfg']},
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install_requires = [
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install_requires = [
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'numpy',
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'numpy>=1.8.0',
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],
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],
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**setupOpts
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**setupOpts
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)
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)
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