updated python style
This commit is contained in:
parent
45bedec229
commit
57e522566a
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@ -1,39 +1,23 @@
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#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,math,string,numpy as np
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from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
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import os,sys,math,string
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import numpy as np
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from optparse import OptionParser
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import damask
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scriptID = '$Id$'
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scriptName = scriptID.split()[1]
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#--------------------------------------------------------------------------------------------------
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class extendableOption(Option):
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#--------------------------------------------------------------------------------------------------
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# used for definition of new option parser action 'extend', which enables to take multiple option arguments
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# taken from online tutorial http://docs.python.org/library/optparse.html
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ACTIONS = Option.ACTIONS + ("extend",)
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STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
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TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
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ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
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def take_action(self, action, dest, opt, value, values, parser):
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if action == "extend":
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lvalue = value.split(",")
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values.ensure_value(dest, []).extend(lvalue)
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else:
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Option.take_action(self, action, dest, opt, value, values, parser)
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#--------------------------------------------------------------------------------------------------
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# MAIN
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#--------------------------------------------------------------------------------------------------
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parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Generate geometry description and material configuration from EBSD data in given square-gridded 'ang' file.
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Two phases can be discriminated based on threshold value in a given data column.
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""" + string.replace(scriptID,'\n','\\n')
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)
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""", version = scriptID)
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parser.add_option('--column', dest='column', type='int', metavar = 'int', \
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help='data column to discriminate phase 1 from 2 [%default]')
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@ -208,7 +192,7 @@ for file in files:
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#--- output finalization --------------------------------------------------------------------------
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if file['name'] != 'STDIN':
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table.output_close()
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file['output'].close()
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os.rename(file['name']+'_tmp',os.path.splitext(file['name'])[0] + \
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{True: '_material.config',
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False:'.geom'}[options.config])
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@ -1,42 +1,25 @@
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#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,re,sys,math,numpy,string,damask
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import os,sys,string,re,math
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import numpy as np
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from scipy import ndimage
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from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
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scriptID = '$Id$'
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scriptName = scriptID.split()[1]
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#--------------------------------------------------------------------------------------------------
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class extendableOption(Option):
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#--------------------------------------------------------------------------------------------------
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# used for definition of new option parser action 'extend', which enables to take multiple option arguments
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# taken from online tutorial http://docs.python.org/library/optparse.html
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ACTIONS = Option.ACTIONS + ("extend",)
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STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
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TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
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ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
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def take_action(self, action, dest, opt, value, values, parser):
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if action == "extend":
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lvalue = value.split(",")
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values.ensure_value(dest, []).extend(lvalue)
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else:
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Option.take_action(self, action, dest, opt, value, values, parser)
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from optparse import OptionParser
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import damask
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scriptID = string.replace('$Id$','\n','\\n')
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scriptName = scriptID.split()[1][:-3]
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def periodic_3Dpad(array, rimdim=(1,1,1)):
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rimdim = numpy.array(rimdim,'i')
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size = numpy.array(array.shape,'i')
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padded = numpy.empty(size+2*rimdim,array.dtype)
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rimdim = np.array(rimdim,'i')
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size = np.array(array.shape,'i')
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padded = np.empty(size+2*rimdim,array.dtype)
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padded[rimdim[0]:rimdim[0]+size[0],
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rimdim[1]:rimdim[1]+size[1],
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rimdim[2]:rimdim[2]+size[2]] = array
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p = numpy.zeros(3,'i')
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p = np.zeros(3,'i')
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for side in xrange(3):
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for p[(side+2)%3] in xrange(padded.shape[(side+2)%3]):
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for p[(side+1)%3] in xrange(padded.shape[(side+1)%3]):
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@ -75,7 +58,7 @@ features = [
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]
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neighborhoods = {
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'neumann':numpy.array([
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'neumann':np.array([
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[-1, 0, 0],
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[ 1, 0, 0],
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[ 0,-1, 0],
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@ -83,7 +66,7 @@ neighborhoods = {
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[ 0, 0,-1],
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[ 0, 0, 1],
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]),
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'moore':numpy.array([
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'moore':np.array([
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[-1,-1,-1],
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[ 0,-1,-1],
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[ 1,-1,-1],
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@ -116,11 +99,11 @@ neighborhoods = {
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])
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}
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parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Produce geom files containing Euclidean distance to grain structural features:
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boundaries, triple lines, and quadruple points.
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""" + string.replace(scriptID,'\n','\\n')
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)
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""", version = scriptID)
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parser.add_option('-t','--type', dest = 'type', action = 'extend', type = 'string', metavar = '<string LIST>',
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help = 'feature type (%s) '%(', '.join(map(lambda x:'|'.join(x['names']),features))) )
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@ -166,25 +149,25 @@ for file in files:
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if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
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else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
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theTable = damask.ASCIItable(file['input'],file['output'][0],labels = False)
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theTable.head_read()
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table = damask.ASCIItable(file['input'],file['output'][0],labels = False)
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table.head_read()
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#--- interpret header ----------------------------------------------------------------------------
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info = {
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'grid': numpy.zeros(3,'i'),
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'size': numpy.zeros(3,'d'),
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'origin': numpy.zeros(3,'d'),
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'grid': np.zeros(3,'i'),
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'size': np.zeros(3,'d'),
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'origin': np.zeros(3,'d'),
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'homogenization': 0,
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'microstructures': 0,
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}
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newInfo = {
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'grid': numpy.zeros(3,'i'),
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'origin': numpy.zeros(3,'d'),
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'grid': np.zeros(3,'i'),
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'origin': np.zeros(3,'d'),
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'microstructures': 0,
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}
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extra_header = []
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for header in theTable.info:
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for header in table.info:
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headitems = map(str.lower,header.split())
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if len(headitems) == 0: continue # skip blank lines
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for synonym,alternatives in synonyms.iteritems():
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'homogenization: %i\n'%info['homogenization'] + \
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'microstructures: %i\n'%info['microstructures'])
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if numpy.any(info['grid'] < 1):
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if np.any(info['grid'] < 1):
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file['croak'].write('invalid grid a b c.\n')
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continue
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if numpy.any(info['size'] <= 0.0):
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if np.any(info['size'] <= 0.0):
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file['croak'].write('invalid size x y z.\n')
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continue
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#--- read data ------------------------------------------------------------------------------------
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microstructure = numpy.zeros(info['grid'].prod(),'i') # initialize as flat array
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microstructure = np.zeros(info['grid'].prod(),'i') # initialize as flat array
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i = 0
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while theTable.data_read():
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items = theTable.data
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while table.data_read():
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items = table.data
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if len(items) > 2:
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if items[1].lower() == 'of': items = [int(items[2])]*int(items[0])
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elif items[1].lower() == 'to': items = xrange(int(items[0]),1+int(items[2]))
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neighborhood = neighborhoods[options.neighborhood]
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convoluted = numpy.empty([len(neighborhood)]+list(info['grid']+2),'i')
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convoluted = np.empty([len(neighborhood)]+list(info['grid']+2),'i')
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structure = periodic_3Dpad(microstructure.reshape(info['grid'],order='F'))
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for i,p in enumerate(neighborhood):
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stencil = numpy.zeros((3,3,3),'i')
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stencil = np.zeros((3,3,3),'i')
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stencil[1,1,1] = -1
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stencil[p[0]+1,
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p[1]+1,
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p[2]+1] = 1
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convoluted[i,:,:,:] = ndimage.convolve(structure,stencil)
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distance = numpy.ones((len(feature_list),info['grid'][0],info['grid'][1],info['grid'][2]),'d')
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distance = np.ones((len(feature_list),info['grid'][0],info['grid'][1],info['grid'][2]),'d')
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convoluted = numpy.sort(convoluted,axis = 0)
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uniques = numpy.where(convoluted[0,1:-1,1:-1,1:-1] != 0, 1,0) # initialize unique value counter (exclude myself [= 0])
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convoluted = np.sort(convoluted,axis = 0)
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uniques = np.where(convoluted[0,1:-1,1:-1,1:-1] != 0, 1,0) # initialize unique value counter (exclude myself [= 0])
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for i in xrange(1,len(neighborhood)): # check remaining points in neighborhood
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uniques += numpy.where(numpy.logical_and(
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uniques += np.where(np.logical_and(
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convoluted[i,1:-1,1:-1,1:-1] != convoluted[i-1,1:-1,1:-1,1:-1], # flip of ID difference detected?
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convoluted[i,1:-1,1:-1,1:-1] != 0), # not myself?
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1,0) # count flip
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for i,feature_id in enumerate(feature_list):
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distance[i,:,:,:] = numpy.where(uniques >= features[feature_id]['aliens'],0.0,1.0) # seed with 0.0 when enough unique neighbor IDs are present
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distance[i,:,:,:] = np.where(uniques >= features[feature_id]['aliens'],0.0,1.0) # seed with 0.0 when enough unique neighbor IDs are present
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for i in xrange(len(feature_list)):
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distance[i,:,:,:] = ndimage.morphology.distance_transform_edt(distance[i,:,:,:])*[options.scale]*3
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newInfo['microstructures'] = int(math.ceil(distance[i,:,:,:].max()))
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#--- write header ---------------------------------------------------------------------------------
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theTable = damask.ASCIItable(file['input'],file['output'][i],labels = False)
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theTable.labels_clear()
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theTable.info_clear()
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theTable.info_append(extra_header+[
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table = damask.ASCIItable(file['input'],file['output'][i],labels = False)
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table.labels_clear()
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table.info_clear()
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table.info_append(extra_header+[
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scriptID + ' ' + ' '.join(sys.argv[1:]),
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"grid\ta %i\tb %i\tc %i"%(info['grid'][0],info['grid'][1],info['grid'][2],),
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"size\tx %f\ty %f\tz %f"%(info['size'][0],info['size'][1],info['size'][2],),
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"homogenization\t%i"%info['homogenization'],
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"microstructures\t%i"%(newInfo['microstructures']),
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])
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theTable.head_write()
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theTable.output_flush()
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table.head_write()
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table.output_flush()
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# --- write microstructure information ------------------------------------------------------------
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formatwidth = int(math.floor(math.log10(distance[i,:,:,:].max())+1))
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theTable.data = distance[i,:,:,:].reshape((info['grid'][0],info['grid'][1]*info['grid'][2]),order='F').transpose()
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theTable.data_writeArray('%%%ii'%(formatwidth),delimiter=' ')
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table.data = distance[i,:,:,:].reshape((info['grid'][0],info['grid'][1]*info['grid'][2]),order='F').transpose()
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table.data_writeArray('%%%ii'%(formatwidth),delimiter=' ')
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file['output'][i].close()
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#--- output finalization --------------------------------------------------------------------------
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#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string,math,numpy
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from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
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import os,sys,string,re,math,random
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import numpy as np
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from optparse import OptionParser
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import damask
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scriptID = '$Id$'
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scriptName = scriptID.split()[1]
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scriptID = string.replace('$Id$','\n','\\n')
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scriptName = scriptID.split()[1][:-3]
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#--------------------------------------------------------------------------------------------------
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class extendedOption(Option):
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#--------------------------------------------------------------------------------------------------
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# used for definition of new option parser action 'extend', which enables to take multiple option arguments
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# taken from online tutorial http://docs.python.org/library/optparse.html
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ACTIONS = Option.ACTIONS + ("extend",)
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STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
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TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
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ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
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def take_action(self, action, dest, opt, value, values, parser):
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if action == "extend":
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lvalue = value.split(",")
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values.ensure_value(dest, []).extend(lvalue)
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else:
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Option.take_action(self, action, dest, opt, value, values, parser)
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#--------------------------------------------------------------------------------------------------
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# --------------------------------------------------------------------
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# MAIN
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#--------------------------------------------------------------------------------------------------
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# --------------------------------------------------------------------
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minimal_surfaces = ['primitive','gyroid','diamond',]
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surface = {
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'diamond': lambda x,y,z: math.cos(x-y)*math.cos(z)+math.sin(x+y)*math.sin(z),
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}
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parser = OptionParser(option_class=extendedOption, usage='%prog', description = """
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog', description = """
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Generate a geometry file of a bicontinuous structure of given type.
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""" + string.replace(scriptID,'\n','\\n')
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)
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""", version = scriptID)
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parser.add_option('-t','--type', dest='type', choices=minimal_surfaces, metavar='string', \
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help='type of minimal surface (%s) [primitive]' %(','.join(minimal_surfaces)))
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@ -63,24 +47,24 @@ parser.add_option('-2', '--twodimensional', dest='twoD', action='store_true', \
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parser.set_defaults(type = minimal_surfaces[0])
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parser.set_defaults(threshold = 0.0)
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parser.set_defaults(periods = 1)
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parser.set_defaults(grid = numpy.array([16,16,16]))
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parser.set_defaults(size = numpy.array([1.0,1.0,1.0]))
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parser.set_defaults(grid = np.array([16,16,16]))
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parser.set_defaults(size = np.array([1.0,1.0,1.0]))
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parser.set_defaults(homogenization = 1)
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parser.set_defaults(microstructure = [1,2])
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parser.set_defaults(twoD = False)
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(options, args) = parser.parse_args()
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(options,filename) = parser.parse_args()
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# ------------------------------------------ setup file handle -------------------------------------
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if filename == []:
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file = {'output':sys.stdout, 'croak':sys.stderr}
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else:
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file = {'output':open(filename[0],'w'), 'croak':sys.stderr}
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#--- setup file handles ---------------------------------------------------------------------------
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file = {'name':'STDIN',
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'input':sys.stdin,
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'output':sys.stdout,
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'croak':sys.stderr,
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}
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info = {
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'grid': numpy.array(options.grid),
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'size': numpy.array(options.size),
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'origin': numpy.zeros(3,'d'),
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'grid': np.array(options.grid),
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'size': np.array(options.size),
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'origin': np.zeros(3,'d'),
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'microstructures': max(options.microstructure),
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'homogenization': options.homogenization
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}
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@ -93,10 +77,10 @@ file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid'])))
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'homogenization: %i\n'%info['homogenization'] + \
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'microstructures: %i\n\n'%info['microstructures'])
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if numpy.any(info['grid'] < 1):
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if np.any(info['grid'] < 1):
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file['croak'].write('invalid grid a b c.\n')
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sys.exit()
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if numpy.any(info['size'] <= 0.0):
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if np.any(info['size'] <= 0.0):
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file['croak'].write('invalid size x y z.\n')
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sys.exit()
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@ -1,40 +1,25 @@
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#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string,math,numpy,time
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from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
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import os,sys,string,re,math
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import numpy as np
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from optparse import OptionParser
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import damask
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scriptID = '$Id$'
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scriptName = scriptID.split()[1]
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scriptID = string.replace('$Id$','\n','\\n')
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scriptName = scriptID.split()[1][:-3]
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#------------------------------------------------------------------------------------------------
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class extendedOption(Option):
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#------------------------------------------------------------------------------------------------
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# used for definition of new option parser action 'extend', which enables to take multiple option arguments
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# taken from online tutorial http://docs.python.org/library/optparse.html
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ACTIONS = Option.ACTIONS + ("extend",)
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STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
|
||||
TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
|
||||
ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
|
||||
|
||||
def take_action(self, action, dest, opt, value, values, parser):
|
||||
if action == "extend":
|
||||
lvalue = value.split(",")
|
||||
values.ensure_value(dest, []).extend(lvalue)
|
||||
else:
|
||||
Option.take_action(self, action, dest, opt, value, values, parser)
|
||||
|
||||
|
||||
#--------------------------------------------------------------------------------------------------
|
||||
# --------------------------------------------------------------------
|
||||
# MAIN
|
||||
#--------------------------------------------------------------------------------------------------
|
||||
parser = OptionParser(option_class=extendedOption, usage='%prog', description = """
|
||||
# --------------------------------------------------------------------
|
||||
|
||||
parser = OptionParser(option_class=damask.extendableOption, usage='%prog [options]', description = """
|
||||
Generate a geometry file of an osteon enclosing the Harvesian canal and separated by interstitial tissue.
|
||||
The osteon phase is lamellar with a twisted plywood structure.
|
||||
Its fiber orientation is oscillating by +/- amplitude within one period.
|
||||
""" + string.replace(scriptID,'\n','\\n')
|
||||
)
|
||||
|
||||
""", version = scriptID)
|
||||
|
||||
|
||||
parser.add_option('-g', '--grid', dest='grid', type='int', nargs=2, metavar = 'int int', \
|
||||
help='a,b grid of hexahedral box %default')
|
||||
|
@ -67,41 +52,40 @@ parser.set_defaults(aspect = 1.0)
|
|||
parser.set_defaults(omega = 0.0)
|
||||
parser.set_defaults(period = 5e-6)
|
||||
parser.set_defaults(amplitude = 60)
|
||||
parser.set_defaults(size = numpy.array([300e-6,300e-6],'d'))
|
||||
parser.set_defaults(grid = numpy.array([512,512],'i'))
|
||||
parser.set_defaults(size = np.array([300e-6,300e-6],'d'))
|
||||
parser.set_defaults(grid = np.array([512,512],'i'))
|
||||
parser.set_defaults(homogenization = 1)
|
||||
parser.set_defaults(crystallite = 1)
|
||||
parser.set_defaults(config = False)
|
||||
parser.set_defaults(twoD = False)
|
||||
|
||||
(options, args) = parser.parse_args()
|
||||
(options,filename) = parser.parse_args()
|
||||
|
||||
#--- setup file handles ---------------------------------------------------------------------------
|
||||
file = {'name':'STDIN',
|
||||
'input':sys.stdin,
|
||||
'output':sys.stdout,
|
||||
'croak':sys.stderr,
|
||||
}
|
||||
# ------------------------------------------ setup file handle -------------------------------------
|
||||
if filename == []:
|
||||
file = {'output':sys.stdout, 'croak':sys.stderr}
|
||||
else:
|
||||
file = {'output':open(filename[0],'w'), 'croak':sys.stderr}
|
||||
|
||||
if numpy.any(options.grid < 2):
|
||||
if np.any(options.grid < 2):
|
||||
file['croak'].write('grid too small...\n')
|
||||
sys.exit()
|
||||
|
||||
if numpy.any(options.size <= 0.0):
|
||||
if np.any(options.size <= 0.0):
|
||||
file['croak'].write('size too small...\n')
|
||||
sys.exit()
|
||||
|
||||
options.omega *= math.pi/180.0 # rescale ro radians
|
||||
rotation = numpy.array([[ math.cos(options.omega),math.sin(options.omega),],
|
||||
rotation = np.array([[ math.cos(options.omega),math.sin(options.omega),],
|
||||
[-math.sin(options.omega),math.cos(options.omega),]],'d')
|
||||
|
||||
box = numpy.dot(numpy.array([[options.canal,0.],[0.,options.aspect*options.canal]]).transpose(),rotation)
|
||||
box = np.dot(np.array([[options.canal,0.],[0.,options.aspect*options.canal]]).transpose(),rotation)
|
||||
|
||||
|
||||
info = {
|
||||
'grid': numpy.ones(3,'i'),
|
||||
'size': numpy.ones(3,'d'),
|
||||
'origin': numpy.zeros(3,'d'),
|
||||
'grid': np.ones(3,'i'),
|
||||
'size': np.ones(3,'d'),
|
||||
'origin': np.zeros(3,'d'),
|
||||
'microstructures': 3,
|
||||
'homogenization': options.homogenization,
|
||||
}
|
||||
|
@ -112,21 +96,21 @@ info['size'][2] = min(info['size'][0]/info['grid'][0],info['size'][1]/info['gri
|
|||
info['origin'] = -info['size']/2.0
|
||||
|
||||
X0 = info['size'][0]/info['grid'][0]*\
|
||||
(numpy.tile(numpy.arange(info['grid'][0]),(info['grid'][1],1)) - info['grid'][0]/2 + 0.5)
|
||||
(np.tile(np.arange(info['grid'][0]),(info['grid'][1],1)) - info['grid'][0]/2 + 0.5)
|
||||
Y0 = info['size'][1]/info['grid'][1]*\
|
||||
(numpy.tile(numpy.arange(info['grid'][1]),(info['grid'][0],1)).transpose() - info['grid'][1]/2 + 0.5)
|
||||
(np.tile(np.arange(info['grid'][1]),(info['grid'][0],1)).transpose() - info['grid'][1]/2 + 0.5)
|
||||
|
||||
X = X0*rotation[0,0] + Y0*rotation[0,1] # rotate by omega
|
||||
Y = X0*rotation[1,0] + Y0*rotation[1,1] # rotate by omega
|
||||
|
||||
radius = numpy.sqrt(X*X + Y*Y/options.aspect/options.aspect)
|
||||
alpha = numpy.degrees(numpy.arctan2(Y/options.aspect,X))
|
||||
beta = options.amplitude*numpy.sin(2.0*math.pi*(radius-options.canal)/options.period)
|
||||
radius = np.sqrt(X*X + Y*Y/options.aspect/options.aspect)
|
||||
alpha = np.degrees(np.arctan2(Y/options.aspect,X))
|
||||
beta = options.amplitude*np.sin(2.0*math.pi*(radius-options.canal)/options.period)
|
||||
|
||||
microstructure = numpy.where(radius < float(options.canal),1,0) + numpy.where(radius > float(options.osteon),2,0)
|
||||
microstructure = np.where(radius < float(options.canal),1,0) + np.where(radius > float(options.osteon),2,0)
|
||||
|
||||
alphaOfGrain = numpy.zeros(info['grid'][0]*info['grid'][1],'d')
|
||||
betaOfGrain = numpy.zeros(info['grid'][0]*info['grid'][1],'d')
|
||||
alphaOfGrain = np.zeros(info['grid'][0]*info['grid'][1],'d')
|
||||
betaOfGrain = np.zeros(info['grid'][0]*info['grid'][1],'d')
|
||||
for y in xrange(info['grid'][1]):
|
||||
for x in xrange(info['grid'][0]):
|
||||
if microstructure[y,x] == 0:
|
||||
|
@ -141,12 +125,12 @@ file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid'])))
|
|||
'origin x y z: %s\n'%(' : '.join(map(str,info['origin']))) + \
|
||||
'microstructures: %i\n'%info['microstructures'] + \
|
||||
'homogenization: %i\n'%info['homogenization'])
|
||||
file['croak'].write("bounding box: %s\n"%(numpy.sqrt(numpy.sum(box*box,0))))
|
||||
file['croak'].write("bounding box: %s\n"%(np.sqrt(np.sum(box*box,0))))
|
||||
|
||||
if numpy.any(info['grid'] < 1):
|
||||
if np.any(info['grid'] < 1):
|
||||
file['croak'].write('invalid grid a b c.\n')
|
||||
sys.exit()
|
||||
if numpy.any(info['size'] <= 0.0):
|
||||
if np.any(info['size'] <= 0.0):
|
||||
file['croak'].write('invalid size x y z.\n')
|
||||
sys.exit()
|
||||
|
||||
|
@ -189,7 +173,4 @@ else:
|
|||
str(microstructure[y,x]).rjust(formatwidth) + \
|
||||
{True:' ',False:'\n'}[options.twoD] )
|
||||
file['output'].write({True:'\n',False:''}[options.twoD])
|
||||
|
||||
|
||||
#--- output finalization --------------------------------------------------------------------------
|
||||
table.output_close()
|
||||
|
||||
|
|
|
@ -9,9 +9,10 @@ import damask
|
|||
scriptID = '$Id$'
|
||||
scriptName = scriptID.split()[1]
|
||||
|
||||
|
||||
def meshgrid2(*arrs):
|
||||
'''
|
||||
code inspired by http://stackoverflow.com/questions/1827489/np-meshgrid-in-3d
|
||||
code inspired by http://stackoverflow.com/questions/1827489/numpy-meshgrid-in-3d
|
||||
'''
|
||||
arrs = tuple(reversed(arrs))
|
||||
arrs = tuple(arrs)
|
||||
|
@ -50,10 +51,9 @@ mappings = {
|
|||
'homogenization': lambda x: int(x),
|
||||
'microstructures': lambda x: int(x),
|
||||
}
|
||||
|
||||
|
||||
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
|
||||
Generate geometry description and material configuration by standard Voronoi tessellation of given seeds file.
|
||||
|
||||
""", version = scriptID)
|
||||
|
||||
parser.add_option('-g', '--grid', dest='grid', type='int', nargs = 3, metavar = 'int int int', \
|
||||
|
|
Loading…
Reference in New Issue