DAMASK_EICMD/processing/post/addNorm.py

75 lines
2.6 KiB
Python
Executable File

#!/usr/bin/env python3
import os
import sys
from optparse import OptionParser
import numpy as np
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
# definition of element-wise p-norms for matrices
# ToDo: better use numpy.linalg.norm
def norm(which,object):
if which == 'Abs': # p = 1
return sum(map(abs, object))
elif which == 'Frobenius': # p = 2
return np.sqrt(sum([x*x for x in object]))
elif which == 'Max': # p = inf
return max(map(abs, object))
else:
return -1
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [ASCIItable(s)]', description = """
Add column(s) containing norm of requested column(s) being either vectors or tensors.
""", version = scriptID)
normChoices = ['abs','frobenius','max']
parser.add_option('-n','--norm',
dest = 'norm',
type = 'choice', choices = normChoices, metavar='string',
help = 'type of element-wise p-norm [frobenius] {%s}'%(','.join(map(str,normChoices))))
parser.add_option('-l','--label',
dest = 'labels',
action = 'extend', metavar = '<string LIST>',
help = 'heading of column(s) to calculate norm of')
parser.set_defaults(norm = 'frobenius',
)
(options,filenames) = parser.parse_args()
if filenames == []: filenames = [None]
if options.norm.lower() not in normChoices:
parser.error('invalid norm ({}) specified.'.format(options.norm))
if options.labels is None:
parser.error('no data column specified.')
for name in filenames:
damask.util.report(scriptName,name)
table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
for label in options.labels:
data = table.get(label)
data_norm = np.empty((data.shape[0],1))
for i,d in enumerate(data):
data_norm[i] = norm(options.norm.capitalize(),d)
table.add('norm{}({})'.format(options.norm.capitalize(),label),
data_norm,
scriptID+' '+' '.join(sys.argv[1:]))
table.to_ASCII(sys.stdout if name is None else name)