adopted ASCII_TABLE class
This commit is contained in:
Philip Eisenlohr
parent
18a09d7cff
commit
e98590d850
|
|
@ -1,6 +1,6 @@
|
|||
#!/usr/bin/python
|
||||
|
||||
import os,re,sys,math,string
|
||||
import os,re,sys,math,string,damask_tools
|
||||
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', \
|
||||
help='heading of columns containing tensor field values')
|
||||
|
||||
parser.set_defaults(memory = False)
|
||||
parser.set_defaults(vector = [])
|
||||
parser.set_defaults(tensor = [])
|
||||
|
||||
(options,filenames) = parser.parse_args()
|
||||
|
||||
if len(options.vector) + len(options.tensor) == 0:
|
||||
if len(options.tensor) == 0:
|
||||
parser.error('no data column specified...')
|
||||
|
||||
datainfo = { # list of requested labels per datatype
|
||||
'vector': {'len':3,
|
||||
'label':[]},
|
||||
'tensor': {'len':9,
|
||||
'label':[]},
|
||||
}
|
||||
|
||||
|
||||
if options.vector != None: datainfo['vector']['label'] += options.vector
|
||||
if options.tensor != None: datainfo['tensor']['label'] += options.tensor
|
||||
|
||||
|
||||
|
|
@ -84,30 +77,12 @@ else:
|
|||
# ------------------------------------------ loop over input 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
|
||||
|
||||
firstline = file['input'].readline()
|
||||
m = re.search('(\d+)\s*head', firstline.lower())
|
||||
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:]
|
||||
table = damask_tools.ASCII_TABLE(file['input'],file['output'],False) # make unbuffered ASCII_table
|
||||
table.head_read() # read ASCII header info
|
||||
table.info_append(string.replace('$Id$','\n','\\n') + \
|
||||
'\t' + ' '.join(sys.argv[1:]))
|
||||
|
||||
active = {}
|
||||
column = {}
|
||||
|
|
@ -117,56 +92,35 @@ for file in files:
|
|||
for label in info['label']:
|
||||
key = {True :'1_%s',
|
||||
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)
|
||||
else:
|
||||
if datatype not in active: active[datatype] = []
|
||||
if datatype not in column: column[datatype] = {}
|
||||
active[datatype].append(label)
|
||||
column[datatype][label] = headers.index(key)
|
||||
head.append('det(%s)'%label)
|
||||
column[datatype][label] = table.labels.index(key) # remember columns of requested data
|
||||
table.labels_append('det(%s)'%label) # extend ASCII header with new labels
|
||||
|
||||
# ------------------------------------------ assemble header ---------------------------------------
|
||||
|
||||
output = '%i\theader'%(headerlines+1) + '\n' + \
|
||||
''.join(passOn) + \
|
||||
string.replace('$Id$','\n','\\n')+ '\t' + \
|
||||
' '.join(sys.argv[1:]) + '\n' + \
|
||||
'\t'.join(headers + head) + '\n' # build extended header
|
||||
table.head_write()
|
||||
|
||||
if not options.memory:
|
||||
file['output'].write(output)
|
||||
output = ''
|
||||
# ------------------------------------------ process data ---------------------------------------
|
||||
|
||||
# ------------------------------------------ read file ---------------------------------------
|
||||
while table.data_read(): # read next data line of ASCII table
|
||||
|
||||
for line in {True : data,
|
||||
False : file['input']}[options.memory]:
|
||||
items = line.split()[:len(headers)]
|
||||
if len(items) < len(headers):
|
||||
continue
|
||||
for datatype,labels in active.items(): # loop over vector,tensor
|
||||
for label in labels: # loop over all requested norms
|
||||
table.data_append(determinant(map(float,table.data[column[datatype][label]:
|
||||
column[datatype][label]+datainfo[datatype]['len']])))
|
||||
|
||||
output += '\t'.join(items)
|
||||
|
||||
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()
|
||||
table.data_write() # output processed line
|
||||
|
||||
# ------------------------------------------ output result ---------------------------------------
|
||||
|
||||
if options.memory:
|
||||
file['output'].write(output)
|
||||
table.output_flush() # just in case of buffered ASCII table
|
||||
|
||||
file['input'].close() # close input ASCII table
|
||||
if file['name'] != 'STDIN':
|
||||
file['output'].close
|
||||
os.rename(file['name']+'_tmp',file['name'])
|
||||
file['output'].close # close output ASCII table
|
||||
os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new
|
||||
|
|
|
|||
Loading…
Reference in New Issue