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adopted ASCII_TABLE class

This commit is contained in:
Philip Eisenlohr 2011-11-24 17:10:50 +00:00
parent 18a09d7cff
commit e98590d850
1 changed files with 22 additions and 68 deletions
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90
processing/post/addDeterminant.py
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@ -1,6 +1,6 @@
#!/usr/bin/python #!/usr/bin/python
import os,re,sys,math,string import os,re,sys,math,string,damask_tools
from optparse import OptionParser, Option from optparse import OptionParser, Option
# ----------------------------- # -----------------------------
@ -44,29 +44,22 @@ Add column(s) containing determinant of requested tensor column(s).
) )
parser.add_option('-m','--memory', dest='memory', action='store_true', \
help='load complete file into memory [%default]')
parser.add_option('-t','--tensor', dest='tensor', action='extend', type='string', \ parser.add_option('-t','--tensor', dest='tensor', action='extend', type='string', \
help='heading of columns containing tensor field values') help='heading of columns containing tensor field values')
parser.set_defaults(memory = False)
parser.set_defaults(vector = [])
parser.set_defaults(tensor = []) parser.set_defaults(tensor = [])
(options,filenames) = parser.parse_args() (options,filenames) = parser.parse_args()
if len(options.vector) + len(options.tensor) == 0: if len(options.tensor) == 0:
parser.error('no data column specified...') parser.error('no data column specified...')
datainfo = { # list of requested labels per datatype datainfo = { # list of requested labels per datatype
'vector': {'len':3,
'label':[]},
'tensor': {'len':9, 'tensor': {'len':9,
'label':[]}, 'label':[]},
} }
if options.vector != None: datainfo['vector']['label'] += options.vector
if options.tensor != None: datainfo['tensor']['label'] += options.tensor if options.tensor != None: datainfo['tensor']['label'] += options.tensor
@ -84,30 +77,12 @@ else:
# ------------------------------------------ loop over input files --------------------------------------- # ------------------------------------------ loop over input files ---------------------------------------
for file in files: for file in files:
print file['name'] if file['name'] != 'STDIN': print file['name']
# get labels by either read the first row, or - if keyword header is present - the last line of the header table = damask_tools.ASCII_TABLE(file['input'],file['output'],False) # make unbuffered ASCII_table
table.head_read() # read ASCII header info
firstline = file['input'].readline() table.info_append(string.replace('$Id$','\n','\\n') + \
m = re.search('(\d+)\s*head', firstline.lower()) '\t' + ' '.join(sys.argv[1:]))
if m:
headerlines = int(m.group(1))
passOn = [file['input'].readline() for i in range(1,headerlines)]
headers = file['input'].readline().split()
else:
headerlines = 1
passOn = []
headers = firstline.split()
if options.memory:
data = file['input'].readlines()
else:
data = []
for i,l in enumerate(headers):
if l.startswith('1_'):
if re.match('\d+_',l[2:]) or i == len(headers)-1 or not headers[i+1].endswith(l[2:]):
headers[i] = l[2:]
active = {} active = {}
column = {} column = {}
@ -117,56 +92,35 @@ for file in files:
for label in info['label']: for label in info['label']:
key = {True :'1_%s', key = {True :'1_%s',
False:'%s' }[info['len']>1]%label False:'%s' }[info['len']>1]%label
if key not in headers: if key not in table.labels:
sys.stderr.write('column %s not found...\n'%key) sys.stderr.write('column %s not found...\n'%key)
else: else:
if datatype not in active: active[datatype] = [] if datatype not in active: active[datatype] = []
if datatype not in column: column[datatype] = {} if datatype not in column: column[datatype] = {}
active[datatype].append(label) active[datatype].append(label)
column[datatype][label] = headers.index(key) column[datatype][label] = table.labels.index(key) # remember columns of requested data
head.append('det(%s)'%label) table.labels_append('det(%s)'%label) # extend ASCII header with new labels
# ------------------------------------------ assemble header --------------------------------------- # ------------------------------------------ assemble header ---------------------------------------
output = '%i\theader'%(headerlines+1) + '\n' + \ table.head_write()
''.join(passOn) + \
string.replace('$Id$','\n','\\n')+ '\t' + \
' '.join(sys.argv[1:]) + '\n' + \
'\t'.join(headers + head) + '\n' # build extended header
if not options.memory: # ------------------------------------------ process data ---------------------------------------
file['output'].write(output)
output = ''
# ------------------------------------------ read file --------------------------------------- while table.data_read(): # read next data line of ASCII table
for line in {True : data, for datatype,labels in active.items(): # loop over vector,tensor
False : file['input']}[options.memory]: for label in labels: # loop over all requested norms
items = line.split()[:len(headers)] table.data_append(determinant(map(float,table.data[column[datatype][label]:
if len(items) < len(headers): column[datatype][label]+datainfo[datatype]['len']])))
continue
output += '\t'.join(items) table.data_write() # output processed line
for datatype,labels in active.items():
for label in labels:
theValue = determinant(map(float,items[column[datatype][label]:
column[datatype][label]+datainfo[datatype]['len']]))
output += '\t%f'%theValue
output += '\n'
if not options.memory:
file['output'].write(output)
output = ''
file['input'].close()
# ------------------------------------------ output result --------------------------------------- # ------------------------------------------ output result ---------------------------------------
if options.memory: table.output_flush() # just in case of buffered ASCII table
file['output'].write(output)
file['input'].close() # close input ASCII table
if file['name'] != 'STDIN': if file['name'] != 'STDIN':
file['output'].close file['output'].close # close output ASCII table
os.rename(file['name']+'_tmp',file['name']) os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new