75 lines
2.9 KiB
Python
Executable File
75 lines
2.9 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import argparse
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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 = argparse.ArgumentParser()
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#ToDo: We need to decide on a way of handling arguments of variable lentght
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#https://stackoverflow.com/questions/15459997/passing-integer-lists-to-python
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#parser.add_argument('--version', action='version', version='%(prog)s {}'.format(scriptID))
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parser.add_argument('filenames', nargs='+',
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help='DADF5 files')
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parser.add_argument('-d','--dir', dest='dir',default='postProc',metavar='string',
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help='name of subdirectory relative to the location of the DADF5 file to hold output')
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parser.add_argument('--mat', nargs='+',
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help='labels for materialpoint',dest='mat')
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parser.add_argument('--con', nargs='+',
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help='labels for constituent',dest='con')
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options = parser.parse_args()
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if options.mat is None: options.mat=[]
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if options.con is None: options.con=[]
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# --- loop over input files ------------------------------------------------------------------------
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for filename in options.filenames:
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results = damask.DADF5(filename)
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if not results.structured: continue
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if results.version_major == 0 and results.version_minor >= 5:
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coords = damask.grid_filters.cell_coord0(results.grid,results.size,results.origin)
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else:
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coords = damask.grid_filters.cell_coord0(results.grid,results.size)
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N_digits = int(np.floor(np.log10(int(results.increments[-1][3:]))))+1
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N_digits = 5 # hack to keep test intact
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for i,inc in enumerate(results.iter_visible('increments')):
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print('Output step {}/{}'.format(i+1,len(results.increments)))
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table = damask.Table(np.ones(np.product(results.grid),dtype=int)*int(inc[3:]),{'inc':(1,)})
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table.add('pos',coords.reshape((-1,3)))
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results.pick('materialpoints',False)
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results.pick('constituents', True)
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for label in options.con:
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x = results.get_dataset_location(label)
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if len(x) != 0:
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table.add(label,results.read_dataset(x,0,plain=True).reshape((results.grid.prod(),-1)))
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results.pick('constituents', False)
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results.pick('materialpoints',True)
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for label in options.mat:
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x = results.get_dataset_location(label)
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if len(x) != 0:
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table.add(label,results.read_dataset(x,0,plain=True).reshape((results.grid.prod(),-1)))
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dirname = os.path.abspath(os.path.join(os.path.dirname(filename),options.dir))
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if not os.path.isdir(dirname):
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os.mkdir(dirname,0o755)
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file_out = '{}_inc{}.txt'.format(os.path.splitext(os.path.split(filename)[-1])[0],
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inc[3:].zfill(N_digits))
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table.to_ASCII(os.path.join(dirname,file_out))
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