DAMASK_EICMD/processing/post/blowUp.py

108 lines
3.9 KiB
Python
Executable File

#!/usr/bin/env python3
import os
import sys
from optparse import OptionParser
from scipy import ndimage
import numpy as np
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [ASCIItable(s)]', description = """
Blows up each value to a surrounding data block of size 'packing' thus increasing the former resolution
to resolution*packing.
""", version = scriptID)
parser.add_option('-c','--coordinates',
dest = 'pos', metavar = 'string',
help = 'column label of coordinates [%default]')
parser.add_option('-p','--packing',
dest = 'packing', type = 'int', nargs = 3, metavar = 'int int int',
help = 'dimension of packed group [%default]')
parser.add_option('-g','--grid',
dest = 'resolution', type = 'int', nargs = 3, metavar = 'int int int',
help = 'grid in x,y,z (optional)')
parser.add_option('-s','--size',
dest = 'dimension', type = 'float', nargs = 3, metavar = 'int int int',
help = 'size in x,y,z (optional)')
parser.set_defaults(pos = 'pos',
packing = (2,2,2),
grid = (0,0,0),
size = (0.0,0.0,0.0),
)
(options,filenames) = parser.parse_args()
options.packing = np.array(options.packing)
prefix = 'blowUp{}x{}x{}_'.format(*options.packing)
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try: table = damask.ASCIItable(name = name,
outname = os.path.join(os.path.dirname(name),
prefix+os.path.basename(name)) if name else name,
buffered = False)
except IOError:
continue
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ sanity checks ----------------------------------------
errors = []
remarks = []
if table.label_dimension(options.pos) != 3: errors.append('coordinates "{}" are not a vector.'.format(options.pos))
colElem = table.label_index('elem')
if remarks != []: damask.util.croak(remarks)
if errors != []:
damask.util.croak(errors)
table.close(dismiss = True)
continue
# --------------- figure out size and grid ---------------------------------------------------------
table.data_readArray(options.pos)
table.data_rewind()
grid,size,origin = damask.grid_filters.cell_coord0_2_DNA(table.data)
packing = np.array(options.packing,'i')
outSize = grid*packing
# ------------------------------------------ assemble header --------------------------------------
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
table.head_write()
# ------------------------------------------ process data -------------------------------------------
table.data_readArray()
data = table.data.reshape(tuple(grid)+(-1,))
table.data = ndimage.interpolation.zoom(data,tuple(packing)+(1,),order=0,mode='nearest').reshape((outSize.prod(),-1))
coords = damask.grid_filters.cell_coord0(outSize,size,origin)
table.data[:,table.label_indexrange(options.pos)] = coords.reshape((-1,3))
table.data[:,table.label_index('elem')] = np.arange(1,outSize.prod()+1)
# ------------------------------------------ output finalization -----------------------------------
table.data_writeArray()
table.close()