121 lines
5.1 KiB
Python
Executable File
121 lines
5.1 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string
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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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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 [file[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', dest='coords', metavar='string',
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help='column heading for coordinates [%default]')
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parser.add_option('-p','--packing', 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', dest='resolution', type='int', nargs=3, metavar='int int int',
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help='resolution in x,y,z [autodetect]')
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parser.add_option('-s','--size', dest='dimension', type='float', nargs=3, metavar='int int int',
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help='dimension in x,y,z [autodetect]')
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parser.set_defaults(coords = 'ipinitialcoord')
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parser.set_defaults(packing = (2,2,2))
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parser.set_defaults(grid = (0,0,0))
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parser.set_defaults(size = (0.0,0.0,0.0))
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(options,filenames) = parser.parse_args()
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options.packing = np.array(options.packing)
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prefix = 'blowUp%ix%ix%i_'%(options.packing[0],options.packing[1],options.packing[2])
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try:
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table = damask.ASCIItable(name = name,
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outname = os.path.join(os.path.dirname(name),
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prefix+ \
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os.path.basename(name)) if name else name,
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buffered = False)
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except: continue
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damask.util.report(scriptName,name)
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# ------------------------------------------ read header ------------------------------------------
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table.head_read()
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# ------------------------------------------ sanity checks ----------------------------------------
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if table.label_dimension(options.coords) != 3: errors.append('coordinates {} are not a vector.'.format(options.coords))
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else: coordCol = table.label_index(options.coords)
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# ------------------------------------------ assemble header --------------------------------------
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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# --------------- figure out size and grid ---------------------------------------------------------
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table.data_readArray()
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coords = [{},{},{}]
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for i in xrange(len(table.data)):
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for j in xrange(3):
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coords[j][str(table.data[i,coordCol+j])] = True
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grid = np.array(map(len,coords),'i')
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size = grid/np.maximum(np.ones(3,'d'),grid-1.0)* \
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np.array([max(map(float,coords[0].keys()))-min(map(float,coords[0].keys())),\
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max(map(float,coords[1].keys()))-min(map(float,coords[1].keys())),\
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max(map(float,coords[2].keys()))-min(map(float,coords[2].keys())),\
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],'d') # size from bounding box, corrected for cell-centeredness
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size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other spacings
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packing = np.array(options.packing,'i')
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outSize = grid*packing
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# ------------------------------------------ assemble header ---------------------------------------
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table.head_write()
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# ------------------------------------------ process data -------------------------------------------
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table.data_rewind()
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data = np.zeros(outSize.tolist()+[len(table.labels)])
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p = np.zeros(3,'i')
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for p[2] in xrange(grid[2]):
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for p[1] in xrange(grid[1]):
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for p[0] in xrange(grid[0]):
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d = p*packing
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table.data_read()
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data[d[0]:d[0]+packing[0],
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d[1]:d[1]+packing[1],
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d[2]:d[2]+packing[2],
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: ] = np.tile(np.array(table.data_asFloat(),'d'),packing.tolist()+[1]) # tile to match blowUp voxel size
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elementSize = size/grid/packing
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elem = 1
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for c in xrange(outSize[2]):
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for b in xrange(outSize[1]):
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for a in xrange(outSize[0]):
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data[a,b,c,coordCol:coordCol+3] = [a+0.5,b+0.5,c+0.5]*elementSize
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data[a,b,c,table.label_index('elem')] = elem
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table.data = data[a,b,c,:].tolist()
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outputAlive = table.data_write() # output processed line
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elem += 1
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# ------------------------------------------ output finalization -----------------------------------
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table.close() # close input ASCII table (works for stdin)
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