using central functionality
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@ -2,10 +2,8 @@
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import os
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import sys
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from optparse import OptionParser
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from io import StringIO
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import numpy as np
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from optparse import OptionParser
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import damask
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@ -24,38 +22,25 @@ Translate geom description into ASCIItable containing position and microstructur
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""", version = scriptID)
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(options, filenames) = parser.parse_args()
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if filenames == []: filenames = [None]
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for name in filenames:
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damask.util.report(scriptName,name)
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damask.util.report(scriptName,name)
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geom = damask.Geom.from_file(StringIO(''.join(sys.stdin.read())) if name is None else name)
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geom = damask.Geom.from_file(StringIO(''.join(sys.stdin.read())) if name is None else name)
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damask.util.croak(geom)
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damask.util.croak(geom)
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coord0 = damask.grid_filters.cell_coord0(geom.grid,geom.size,geom.origin).reshape((-1,3),order='F')
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# --- generate grid --------------------------------------------------------------------------------
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comments = geom.comments \
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+ [scriptID + ' ' + ' '.join(sys.argv[1:]),
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"grid\ta {}\tb {}\tc {}".format(*geom.grid),
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"size\tx {}\ty {}\tz {}".format(*geom.size),
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"origin\tx {}\ty {}\tz {}".format(*geom.origin),
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"homogenization\t{}".format(geom.homogenization)]
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grid = geom.get_grid()
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size = geom.get_size()
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origin = geom.get_origin()
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table = damask.Table(coord0,{'pos':(3,)},comments)
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table.add('microstructure',geom.microstructure.reshape((-1,1)))
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x = (0.5 + np.arange(grid[0],dtype=float))/grid[0]*size[0]+origin[0]
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y = (0.5 + np.arange(grid[1],dtype=float))/grid[1]*size[1]+origin[1]
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z = (0.5 + np.arange(grid[2],dtype=float))/grid[2]*size[2]+origin[2]
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xx = np.tile( x, grid[1]* grid[2])
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yy = np.tile(np.repeat(y,grid[0] ),grid[2])
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zz = np.repeat(z,grid[0]*grid[1])
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# --- create ASCII table --------------------------------------------------------------------------
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table = damask.ASCIItable(outname = os.path.splitext(name)[0]+'.txt' if name else name)
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table.info_append(geom.get_comments() + [scriptID + '\t' + ' '.join(sys.argv[1:])])
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table.labels_append(['{}_{}'.format(1+i,'pos') for i in range(3)]+['microstructure'])
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table.head_write()
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table.output_flush()
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table.data = np.squeeze(np.dstack((xx,yy,zz,geom.microstructure.flatten('F'))),axis=0)
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table.data_writeArray()
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table.close()
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table.to_ASCII(sys.stdout if name is None else \
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os.path.splitext(name)[0]+'.txt')
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