DAMASK_EICMD/processing/post/blowUp.py

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-

import os,sys
import numpy as np
from optparse import OptionParser
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 [file[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 = 'coords', 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 = 'resolution in x,y,z [autodetect]')
parser.add_option('-s','--size',
                  dest = 'dimension', type = 'float', nargs = 3, metavar = 'int int int',
                  help = 'dimension in x,y,z [autodetect]')
parser.set_defaults(coords  = '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: continue
  damask.util.report(scriptName,name)

# ------------------------------------------ read header ------------------------------------------

  table.head_read()

# ------------------------------------------ sanity checks ----------------------------------------
  
  errors  = []
  remarks = []
  
  if table.label_dimension(options.coords) != 3:  errors.append('coordinates {} are not a vector.'.format(options.coords))
  else: colCoord = table.label_index(options.coords)

  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.coords)

  coords = [np.unique(table.data[:,i]) for i in xrange(3)]
  mincorner = np.array(map(min,coords))
  maxcorner = np.array(map(max,coords))
  grid   = np.array(map(len,coords),'i')
  size   = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner)                      # size from edge to edge = dim * n/(n-1) 
  size   = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1]))                           # spacing for grid==1 set to smallest among other spacings
  
  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_rewind()
  data = np.zeros(outSize.tolist()+[len(table.labels)])
  p = np.zeros(3,'i')
  
  for p[2] in xrange(grid[2]):
    for p[1] in xrange(grid[1]):
      for p[0] in xrange(grid[0]):
        d = p*packing
        table.data_read()
        data[d[0]:d[0]+packing[0],
             d[1]:d[1]+packing[1],
             d[2]:d[2]+packing[2],
             : ] = np.tile(np.array(table.data_asFloat(),'d'),packing.tolist()+[1])                 # tile to match blowUp voxel size
  elementSize = size/grid/packing
  elem = 1
  for c in xrange(outSize[2]):
    for b in xrange(outSize[1]):
      for a in xrange(outSize[0]):
        data[a,b,c,colCoord:colCoord+3] = [a+0.5,b+0.5,c+0.5]*elementSize
        if colElem != -1: data[a,b,c,colElem] = elem
        table.data = data[a,b,c,:].tolist()
        outputAlive = table.data_write()                                                            # output processed line
        elem += 1

# ------------------------------------------ output finalization -----------------------------------

  table.close()                                                                                     # close input ASCII table (works for stdin)