same functionality is available in geom class
is anyway just a call no scipy.ndimage
This commit is contained in:
Martin Diehl
parent
ff7eed4477
commit
2ef20df89f
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#!/usr/bin/env python3
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import os
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import sys
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from io import StringIO
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from optparse import OptionParser
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import numpy as np
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import scipy.ndimage
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import damask
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [ASCIItable(s)]', description = """
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Average each data block of size 'packing' into single values thus reducing the former grid to grid/packing.
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""", version = scriptID)
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parser.add_option('-c','--coordinates',
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dest = 'pos',
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type = 'string', metavar = 'string',
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help = 'column label of coordinates [%default]')
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parser.add_option('-p','--packing',
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dest = 'packing',
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type = 'int', nargs = 3, metavar = 'int int int',
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help = 'size of packed group [%default]')
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parser.add_option('--shift',
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dest = 'shift',
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type = 'int', nargs = 3, metavar = 'int int int',
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help = 'shift vector of packing stencil [%default]')
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parser.add_option('-g', '--grid',
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dest = 'grid',
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type = 'int', nargs = 3, metavar = 'int int int',
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help = 'grid in x,y,z (optional)')
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parser.add_option('-s', '--size',
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dest = 'size',
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type = 'float', nargs = 3, metavar = 'float float float',
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help = 'size in x,y,z (optional)')
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parser.set_defaults(pos = 'pos',
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packing = (2,2,2),
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shift = (0,0,0),
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)
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(options,filenames) = parser.parse_args()
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if filenames == []: filenames = [None]
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packing = np.array(options.packing,dtype = int)
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shift = np.array(options.shift, dtype = int)
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prefix = 'averagedDown{}x{}x{}_'.format(*packing)
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if any(shift != 0): prefix += 'shift{:+}{:+}{:+}_'.format(*shift)
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for name in filenames:
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damask.util.report(scriptName,name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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if (options.grid is None or options.size is None):
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grid,size,origin = damask.grid_filters.cell_coord0_gridSizeOrigin(table.get(options.pos))
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else:
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grid = np.array(options.grid,'i')
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size = np.array(options.size,'d')
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packing = np.where(grid == 1,1,packing) # reset packing to 1 where grid==1
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shift = np.where(grid == 1,0,shift) # reset shift to 0 where grid==1
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packedGrid = np.maximum(np.ones(3,'i'),grid//packing)
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data = table.data.values.reshape(tuple(grid)+(-1,),order = 'F')
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averagedDown = scipy.ndimage.filters.uniform_filter( \
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np.roll(
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np.roll(
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np.roll(data,
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-shift[0],axis = 0),
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-shift[1],axis = 1),
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-shift[2],axis = 2),
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size = list(packing) + [1],
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mode = 'wrap',
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origin = list(-(packing//2)) + [0])\
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[::packing[0],::packing[1],::packing[2],:].reshape((packedGrid.prod(),-1),order = 'F')
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table = damask.Table(averagedDown,table.shapes,table.comments)
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coords = damask.grid_filters.cell_coord0(packedGrid,size,shift/packedGrid*size+origin)
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table.set(options.pos, coords.reshape(-1,3,order='F'))
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outname = os.path.join(os.path.dirname(name),prefix+os.path.basename(name))
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table.to_ASCII(sys.stdout if name is None else outname)
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@ -1,72 +0,0 @@
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#!/usr/bin/env python3
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import os
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import sys
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from io import StringIO
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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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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [ASCIItable(s)]', description = """
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Blows up each value to a surrounding data block of size 'packing' thus increasing the former resolution
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to resolution*packing.
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""", version = scriptID)
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parser.add_option('-c','--coordinates',
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dest = 'pos', metavar = 'string',
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help = 'column label of coordinates [%default]')
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parser.add_option('-p','--packing',
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dest = 'packing', type = 'int', nargs = 3, metavar = 'int int int',
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help = 'dimension of packed group [%default]')
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parser.add_option('-g','--grid',
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dest = 'resolution', type = 'int', nargs = 3, metavar = 'int int int',
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help = 'grid in x,y,z (optional)')
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parser.add_option('-s','--size',
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dest = 'dimension', type = 'float', nargs = 3, metavar = 'int int int',
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help = 'size in x,y,z (optional)')
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parser.set_defaults(pos = 'pos',
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packing = (2,2,2),
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grid = (0,0,0),
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size = (0.0,0.0,0.0),
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)
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(options,filenames) = parser.parse_args()
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if filenames == []: filenames = [None]
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options.packing = np.array(options.packing)
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prefix = 'blowUp{}x{}x{}_'.format(*options.packing)
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for name in filenames:
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damask.util.report(scriptName,name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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grid,size,origin = damask.grid_filters.cell_coord0_gridSizeOrigin(table.get(options.pos))
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packing = np.array(options.packing,'i')
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outSize = grid*packing
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data = table.data.values.reshape(tuple(grid)+(-1,),order='F')
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blownUp = ndimage.interpolation.zoom(data,tuple(packing)+(1,),order=0,mode='nearest').reshape(outSize.prod(),-1,order='F')
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table = damask.Table(blownUp,table.shapes,table.comments)
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coords = damask.grid_filters.cell_coord0(outSize,size,origin)
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table.set(options.pos,coords.reshape(-1,3,order='F'))
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table.set('elem',np.arange(1,outSize.prod()+1))
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outname = os.path.join(os.path.dirname(name),prefix+os.path.basename(name))
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table.to_ASCII(sys.stdout if name is None else outname)
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