cleaning
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c9b1944493
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@ -5,9 +5,6 @@ import sys
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from io import StringIO
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from io import StringIO
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from optparse import OptionParser
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from optparse import OptionParser
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from scipy import ndimage
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import numpy as np
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import damask
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import damask
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@ -5,8 +5,6 @@ import sys
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from io import StringIO
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from io import StringIO
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from optparse import OptionParser
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from optparse import OptionParser
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import numpy as np
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import damask
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import damask
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@ -311,8 +311,8 @@ class Geom():
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"""
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"""
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header = self.get_header()
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header = self.get_header()
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grid = self.get_grid()
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grid = self.get_grid()
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format_string = '%{}i'.format(1+int(np.floor(np.log10(np.nanmax(self.microstructure))))) if self.microstructure.dtype == int \
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format_string = '%g' if self.microstructure in np.sctypes['float'] else \
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else '%g'
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'%{}i'.format(1+int(np.floor(np.log10(np.nanmax(self.microstructure)))))
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np.savetxt(fname,
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np.savetxt(fname,
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self.microstructure.reshape([grid[0],np.prod(grid[1:])],order='F').T,
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self.microstructure.reshape([grid[0],np.prod(grid[1:])],order='F').T,
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header='\n'.join(header), fmt=format_string, comments='')
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header='\n'.join(header), fmt=format_string, comments='')
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@ -390,12 +390,14 @@ class Geom():
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def mirror(self,directions,reflect=False):
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def mirror(self,directions,reflect=False):
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"""
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"""
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Mirror microstructure along given directions.
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Mirror microstructure along given directions.
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Parameters
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Parameters
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----------
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----------
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directions : iterable containing str
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directions : iterable containing str
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direction(s) along which the microstructure is mirrored. Valid entries are 'x', 'y', 'z'.
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direction(s) along which the microstructure is mirrored. Valid entries are 'x', 'y', 'z'.
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reflect : bool, optional
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reflect : bool, optional
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reflect (include) outermost layers.
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reflect (include) outermost layers.
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"""
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"""
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valid = {'x','y','z'}
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valid = {'x','y','z'}
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if not all(isinstance(d, str) for d in directions):
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if not all(isinstance(d, str) for d in directions):
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@ -420,10 +422,12 @@ class Geom():
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def clean(self,stencil=3):
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def clean(self,stencil=3):
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"""
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"""
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Smooth microstructure by selecting most frequent index within given stencil at each location.
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Smooth microstructure by selecting most frequent index within given stencil at each location.
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Parameters
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Parameters
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----------
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----------
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stencil : int, optional
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stencil : int, optional
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size of smoothing stencil.
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size of smoothing stencil.
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"""
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"""
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def mostFrequent(arr):
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def mostFrequent(arr):
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unique, inverse = np.unique(arr, return_inverse=True)
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unique, inverse = np.unique(arr, return_inverse=True)
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