simplified processing of ASCIItables by utilizing the improved class methods.

modernized file looping.
updated help.
This commit is contained in:
Philip Eisenlohr 2015-06-16 05:42:11 +00:00
parent c089ff9256
commit d57c7568dd
1 changed files with 53 additions and 66 deletions

View File

@ -36,77 +36,66 @@ Examples:
""", version = scriptID) """, version = scriptID)
parser.add_option('-p', '--positions', dest = 'pos', metavar='string', parser.add_option('-p', '--positions', dest = 'pos', metavar = 'string',
help = 'coordinate label') help = 'coordinate label')
parser.add_option('--boundingbox', dest = 'box', type = 'float', nargs = 6, parser.add_option('--boundingbox', dest = 'box', type = 'float', nargs = 6, metavar = ' '.join(['float']*6),
help = 'min (x,y,z) and max (x,y,z) to specify bounding box [auto]') help = 'min (x,y,z) and max (x,y,z) coordinates of bounding box [auto]')
parser.add_option('-i', '--index', dest = 'index', type = 'string', parser.add_option('-i', '--index', dest = 'index', type = 'string', metavar = 'string',
help = 'microstructure index label') help = 'microstructure index label')
parser.add_option('-w','--white', dest = 'whitelist', action = 'extend',\ parser.add_option('-w','--white', dest = 'whitelist', action = 'extend',
help = 'white list of microstructure indices', metavar = '<LIST>') help = 'white list of microstructure indices', metavar = '<LIST>')
parser.add_option('-b','--black', dest = 'blacklist', action = 'extend',\ parser.add_option('-b','--black', dest = 'blacklist', action = 'extend',
help = 'black list of microstructure indices', metavar = '<LIST>') help = 'black list of microstructure indices', metavar = '<LIST>')
parser.set_defaults(pos = 'pos') parser.set_defaults(pos = 'pos',
parser.set_defaults(index = 'microstructure') index ='microstructure',
)
(options,filenames) = parser.parse_args() (options,filenames) = parser.parse_args()
datainfo = { # list of requested labels per datatype
'scalar': {'len':1,
'label':[]},
'vector': {'len':3,
'label':[]},
}
datainfo['vector']['label'] += [options.pos]
datainfo['scalar']['label'] += [options.index]
if options.whitelist != None: options.whitelist = map(int,options.whitelist) if options.whitelist != None: options.whitelist = map(int,options.whitelist)
if options.blacklist != None: options.blacklist = map(int,options.blacklist) if options.blacklist != None: options.blacklist = map(int,options.blacklist)
#--- setup file handles -------------------------------------------------------------------------- # --- loop over input files -------------------------------------------------------------------------
files = []
if filenames == []: if filenames == []:
files.append({'name':'STDIN', filenames = ['STDIN']
'input':sys.stdin,
'output':sys.stdout, for name in filenames:
'croak':sys.stderr, if name == 'STDIN':
}) file = {'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr}
else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
for name in filenames: else:
if os.path.exists(name): if not os.path.exists(name): continue
files.append({'name':name, file = {'name':name,
'input':open(name), 'input':open(name),
'output':open(os.path.splitext(name)[0]+'.seeds','w'), 'output':open(os.path.splitext(name)[0]+ \
'croak':sys.stdout, ('' if options.label == None else '_'+options.label)+ \
}) '.png','w'),
'croak':sys.stderr}
file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
#--- loop over input files ------------------------------------------------------------------------ table = damask.ASCIItable(file['input'],file['output'],
for file in files: buffered = False) # make unbuffered ASCII_table
file['croak'].write('\033[1m' + scriptName + '\033[0m: ' + (file['name'] if file['name'] != 'STDIN' else '') + '\n') table.head_read() # read ASCII header info
table = damask.ASCIItable(file['input'],file['output'],buffered = False) # ------------------------------------------ process data ------------------------------------------
table.head_read()
# --------------- figure out columns to process errors = []
active = defaultdict(list)
column = defaultdict(dict)
for datatype,info in datainfo.items():
for label in info['label']:
foundIt = False
for key in ['1_'+label,label]:
if key in table.labels:
foundIt = True
active[datatype].append(label)
column[datatype][label] = table.labels.index(key) # remember columns of requested data
if not foundIt:
file['croak'].write('column %s not found...\n'%label)
break
# ------------------------------------------ process data --------------------------------------- missing_labels = table.data_readArray(options.pos,options.label)
if len(missing_labels) > 0:
errors.append('column%s %s not found'%('s' if len(missing_labels) > 1 else '',
', '.join(missing_labels)))
table.data_readArray(list(itertools.chain.from_iterable(map(lambda x:[x+i for i in range(datainfo['vector']['len'])], for label, dim in {options.pos: 3,
[column['vector'][label] for label in active['vector']]))) + options.label: 1}.iteritems():
[column['scalar'][label] for label in active['scalar']]) if table.label_dimension(label) != dim:
errors.append('column %s has wrong dimension'%label)
if errors != []:
file['croak'].write('\n'.join(errors))
table.close(dismiss = True) # close ASCII table file handles and delete output file
continue
#--- finding bounding box ------------------------------------------------------------------------------------ #--- finding bounding box ------------------------------------------------------------------------------------
boundingBox = np.array((np.amin(table.data[:,0:3],axis = 0),np.amax(table.data[:,0:3],axis = 0))) boundingBox = np.array((np.amin(table.data[:,0:3],axis = 0),np.amax(table.data[:,0:3],axis = 0)))
@ -146,6 +135,4 @@ for file in files:
table.data_writeArray() table.data_writeArray()
table.output_flush() table.output_flush()
table.input_close() # close input ASCII table table.close() # close ASCII tables
if file['name'] != 'STDIN':
table.output_close() # close output ASCII table