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Parsing of sfcf input files in the c format improved

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Correlators with different wavefunctions and offsets can now be
distinguished.
This commit is contained in:
fjosw 2021-01-29 11:26:44 +01:00
parent 839a690725
commit e58077c9e1
1 changed files with 26 additions and 33 deletions
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59
pyerrors/input/input.py
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@ -109,16 +109,23 @@ def read_sfcf(path, prefix, name, **kwargs):
return result
def read_sfcf_c(path, prefix, name, **kwargs):
def read_sfcf_c(path, prefix, name, quarks='.*', noffset=0, wf=0, wf2=0, **kwargs):
"""Read sfcf c format from given folder structure.
Arguments
-----------------
quarks -- Label of the quarks used in the sfcf input file
noffset -- Offset of the source (only relevant when wavefunctions are used)
wf -- ID of wave function
wf2 -- ID of the second wavefunction (only relevant for boundary-to-boundary correlation functions)
Keyword arguments
-----------------
im -- if True, read imaginary instead of real part of the correlation function.
single -- if True, read a boundary-to-boundary correlation function with a single value
b2b -- if True, read a time-dependent boundary-to-boundary correlation function
names -- Alternative labeling for replicas/ensembles. Has to have the appropriate length
"""
if kwargs.get('im'):
im = 1
part = 'imaginary'
@ -126,15 +133,10 @@ def read_sfcf_c(path, prefix, name, **kwargs):
im = 0
part = 'real'
if kwargs.get('single'):
b2b = 1
single = 1
else:
b2b = 0
single = 0
if kwargs.get('b2b'):
b2b = 1
else:
b2b = 0
read = 0
T = 0
@ -183,30 +185,21 @@ def read_sfcf_c(path, prefix, name, **kwargs):
print(item, ':', no_cfg, 'evenly spaced configurations (', first_cfg, '-', last_cfg, ') ,', len(sub_ls) - no_cfg, 'configs omitted\n')
if i == 0:
read = 0
found = 0
with open(path+'/'+item+'/'+sub_ls[0]) as fp:
for k, line in enumerate(fp):
if 'quarks' in kwargs:
if found == 0 and read == 1:
if line.strip() == 'quarks ' + kwargs.get('quarks'):
found = 1
print('found', kwargs.get('quarks'))
else:
read = 0
if read == 1 and not line.strip():
break
if read == 1 and k >= start_read:
T += 1
if line.strip() == 'name '+name:
read = 1
start_read = k + 5 + b2b
print('T =', T, ', starting to read in line', start_read)
pattern = 'name ' + name + '\nquarks ' + quarks + '\noffset ' + str(noffset) + '\nwf ' + str(wf)
if b2b:
pattern += '\nwf_2 ' + str(wf2)
#TODO what to do if start_read was not found
if 'quarks' in kwargs:
if found == 0:
raise Exception(kwargs.get('quarks') + ' not found')
with open(path+'/'+item+'/'+sub_ls[0], 'r') as file:
content = file.read()
match = re.search(pattern, content)
if match:
start_read = content.count('\n', 0, match.start()) + 5 + b2b
end_match = re.search('\n\s*\n', content[match.start():])
T = content[match.start():].count('\n', 0, end_match.start()) - 4 - b2b
assert T > 0
print(T, 'entries, starting to read in line', start_read)
else:
raise Exception('Correlator with pattern\n' + pattern + '\nnot found.')
deltas = []
for j in range(T):
@ -224,7 +217,7 @@ def read_sfcf_c(path, prefix, name, **kwargs):
raise Exception('Wrong format', sub_ls[cfg])
if(k >= start_read and k < start_read + T):
floats = list(map(float, line.split()))
deltas[k-start_read][i][cfg] = floats[1 + im - single]
deltas[k-start_read][i][cfg] = floats[-2:][im]
result = []
for t in range(T):