simplifications by adopting functionality provided by new asciitable class methods.
This commit is contained in:
Philip Eisenlohr
parent
48f31f13a6
commit
e243632eb5
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@ -21,49 +21,49 @@ Operates on periodic ordered three-dimensional data sets.
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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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help='column label of coordinates [%default]')
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parser.add_option('-f','--defgrad', dest='defgrad', metavar='string',
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help='heading of columns containing tensor field values [%default]')
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help='column label of deformation gradient [%default]')
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parser.set_defaults(coords = 'ipinitialcoord')
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parser.set_defaults(defgrad = 'f' )
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(options,filenames) = parser.parse_args()
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datainfo = { # list of requested labels per datatype
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'defgrad': {'len':9,
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'label':[]},
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}
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []:
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filenames = ['STDIN']
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datainfo['defgrad']['label'].append(options.defgrad)
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# ------------------------------------------ setup file handles ------------------------------------
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files = []
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for name in filenames:
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if os.path.exists(name):
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files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr})
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if name == 'STDIN':
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file = {'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr}
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file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
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else:
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if not os.path.exists(name): continue
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file = {'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr}
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file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
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#--- loop over input files -------------------------------------------------------------------------
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for file in files:
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file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
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table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
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table = damask.ASCIItable(file['input'],file['output'],buffered=False) # make unbuffered ASCII_table
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table.head_read() # read ASCII header info
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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# --------------- figure out columns to process ---------------------------------------------------
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if table.label_dimension(options.coords) != 3:
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file['croak'].write('no coordinate vector (1/2/3_%s) found...\n'%options.coords)
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continue
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if table.label_dimension(options.defgrad) != 9:
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file['croak'].write('no deformation gradient tensor (1..9_%s) found...\n'%options.defgrad)
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continue
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# --------------- figure out size and grid ---------------------------------------------------------
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try:
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locationCol = table.labels.index('1_%s'%options.coords) # columns containing location data
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except ValueError:
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try:
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locationCol = table.labels.index('%s.x'%options.coords) # columns containing location data (legacy naming scheme)
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except ValueError:
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file['croak'].write('no coordinate data (1_%s/%s.x) found...\n'%(options.coords,options.coords))
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continue
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colCoords = table.label_index(options.coords) # starting column of location data
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colDefGrad = table.label_index(options.defgrad) # remember columns of requested data
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coords = [{},{},{}]
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while table.data_read(): # read next data line of ASCII table
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for j in xrange(3):
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coords[j][str(table.data[locationCol+j])] = True # remember coordinate along x,y,z
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coords[j][str(table.data[colCoords+j])] = True # remember coordinate along x,y,z
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grid = np.array([len(coords[0]),\
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len(coords[1]),\
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len(coords[2]),],'i') # grid is number of distinct coordinates found
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@ -84,25 +84,20 @@ for file in files:
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N = grid.prod()
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# --------------- figure out columns to process ---------------------------------------------------
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key = '1_%s'%datainfo['defgrad']['label'][0]
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if key not in table.labels:
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file['croak'].write('column %s not found...\n'%key)
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continue
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else:
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column = table.labels.index(key) # remember columns of requested data
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# ------------------------------------------ assemble header ---------------------------------------
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table.labels_append(['%s_coords'%(coord+1) for coord in xrange(3)]) # extend ASCII header with new labels
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table.labels_append(['%s_%s%s'%(coord+1,options.defgrad,options.coords) for coord in xrange(3)]) # extend ASCII header with new labels
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table.head_write()
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# ------------------------------------------ read deformation gradient field -----------------------
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table.data_rewind()
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F = np.array([0.0 for i in xrange(N*9)]).reshape([3,3]+list(grid))
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idx = 0
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while table.data_read():
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while table.data_read():
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(x,y,z) = damask.util.gridLocation(idx,grid) # figure out (x,y,z) position from line count
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idx += 1
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F[0:3,0:3,x,y,z] = np.array(map(float,table.data[column:column+9]),'d').reshape(3,3)
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F[0:3,0:3,x,y,z] = np.array(map(float,table.data[colDefGrad:colDefGrad+9]),'d').reshape(3,3)
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# ------------------------------------------ calculate coordinates ---------------------------------
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Favg = damask.core.math.tensorAvg(F)
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@ -121,6 +116,5 @@ for file in files:
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# ------------------------------------------ output result -----------------------------------------
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outputAlive and table.output_flush() # just in case of buffered ASCII table
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table.input_close() # close input ASCII table
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table.output_close() # close output ASCII table
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table.close() # close tables
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os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new
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