108 lines
3.9 KiB
Python
Executable File
108 lines
3.9 KiB
Python
Executable File
#!/usr/bin/env python3
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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 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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options.packing = np.array(options.packing)
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prefix = 'blowUp{}x{}x{}_'.format(*options.packing)
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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: table = damask.ASCIItable(name = name,
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outname = os.path.join(os.path.dirname(name),
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prefix+os.path.basename(name)) if name else name,
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buffered = False)
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except IOError:
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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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errors = []
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remarks = []
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if table.label_dimension(options.pos) != 3: errors.append('coordinates "{}" are not a vector.'.format(options.pos))
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colElem = table.label_index('elem')
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if remarks != []: damask.util.croak(remarks)
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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# --------------- figure out size and grid ---------------------------------------------------------
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table.data_readArray(options.pos)
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table.data_rewind()
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grid,size,origin = damask.grid_filters.cell_coord0_2_DNA(table.data)
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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.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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table.head_write()
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# ------------------------------------------ process data -------------------------------------------
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table.data_readArray()
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data = table.data.reshape(tuple(grid)+(-1,))
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table.data = ndimage.interpolation.zoom(data,tuple(packing)+(1,),order=0,mode='nearest').reshape((outSize.prod(),-1))
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coords = damask.grid_filters.cell_coord0(outSize,size,origin)
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table.data[:,table.label_indexrange(options.pos)] = coords.reshape((-1,3))
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table.data[:,table.label_index('elem')] = np.arange(1,outSize.prod()+1)
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# ------------------------------------------ output finalization -----------------------------------
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table.data_writeArray()
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table.close()
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