pyerrors/pyerrors/input/sfcf.py
2021-11-15 15:55:26 +01:00

231 lines
7.9 KiB
Python

#!/usr/bin/env python
# coding: utf-8
import os
import fnmatch
import re
import numpy as np # Thinly-wrapped numpy
from ..obs import Obs
def read_sfcf(path, prefix, name, **kwargs):
"""Read sfcf C format from given folder structure.
Parameters
----------
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'
else:
im = 0
part = 'real'
if kwargs.get('single'):
b2b = 1
single = 1
else:
b2b = 0
single = 0
if kwargs.get('b2b'):
b2b = 1
read = 0
T = 0
start = 0
ls = []
for (dirpath, dirnames, filenames) in os.walk(path):
ls.extend(dirnames)
break
if not ls:
raise Exception('Error, directory not found')
for exc in ls:
if fnmatch.fnmatch(exc, prefix + '*'):
ls = list(set(ls) - set(exc))
if len(ls) > 1:
ls.sort(key=lambda x: int(re.findall(r'\d+', x[len(prefix):])[0]))
replica = len(ls)
print('Read', part, 'part of', name, 'from', prefix, ',', replica, 'replica')
if 'names' in kwargs:
new_names = kwargs.get('names')
if len(new_names) != replica:
raise Exception('Names does not have the required length', replica)
else:
# Adjust replica names to new bookmarking system
new_names = []
for entry in ls:
idx = entry.index('r')
new_names.append(entry[:idx] + '|' + entry[idx:])
print(replica, 'replica')
for i, item in enumerate(ls):
print(item)
sub_ls = []
for (dirpath, dirnames, filenames) in os.walk(path + '/' + item):
sub_ls.extend(dirnames)
break
for exc in sub_ls:
if fnmatch.fnmatch(exc, 'cfg*'):
sub_ls = list(set(sub_ls) - set(exc))
sub_ls.sort(key=lambda x: int(x[3:]))
no_cfg = len(sub_ls)
print(no_cfg, 'configurations')
if i == 0:
with open(path + '/' + item + '/' + sub_ls[0] + '/' + name) as fp:
for k, line in enumerate(fp):
if read == 1 and not line.strip() and k > start + 1:
break
if read == 1 and k >= start:
T += 1
if '[correlator]' in line:
read = 1
start = k + 7 + b2b
T -= b2b
deltas = []
for j in range(T):
deltas.append([])
sublength = len(sub_ls)
for j in range(T):
deltas[j].append(np.zeros(sublength))
for cnfg, subitem in enumerate(sub_ls):
with open(path + '/' + item + '/' + subitem + '/' + name) as fp:
for k, line in enumerate(fp):
if(k >= start and k < start + T):
floats = list(map(float, line.split()))
deltas[k - start][i][cnfg] = floats[1 + im - single]
result = []
for t in range(T):
result.append(Obs(deltas[t], new_names))
return result
def read_sfcf_c(path, prefix, name, quarks='.*', noffset=0, wf=0, wf2=0, **kwargs):
"""Read sfcf c format from given folder structure.
Parameters
----------
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)
im -- if True, read imaginary instead of real part of the correlation function.
b2b -- if True, read a time-dependent boundary-to-boundary correlation function
names -- Alternative labeling for replicas/ensembles. Has to have the appropriate length
ens_name : str
replaces the name of the ensemble
"""
if kwargs.get('im'):
im = 1
part = 'imaginary'
else:
im = 0
part = 'real'
if kwargs.get('b2b'):
b2b = 1
else:
b2b = 0
T = 0
ls = []
for (dirpath, dirnames, filenames) in os.walk(path):
ls.extend(dirnames)
break
if not ls:
raise Exception('Error, directory not found')
# Exclude folders with different names
for exc in ls:
if not fnmatch.fnmatch(exc, prefix + '*'):
ls = list(set(ls) - set([exc]))
if len(ls) > 1:
ls.sort(key=lambda x: int(re.findall(r'\d+', x[len(prefix):])[0])) # New version, to cope with ids, etc.
replica = len(ls)
if 'names' in kwargs:
new_names = kwargs.get('names')
if len(new_names) != replica:
raise Exception('Names does not have the required length', replica)
else:
# Adjust replica names to new bookmarking system
new_names = []
for entry in ls:
idx = entry.index('r')
if 'ens_name' in kwargs:
new_names.append(kwargs.get('ens_name') + '|' + entry[idx:])
else:
new_names.append(entry[:idx] + '|' + entry[idx:])
print('Read', part, 'part of', name, 'from', prefix[:-1], ',', replica, 'replica')
for i, item in enumerate(ls):
sub_ls = []
for (dirpath, dirnames, filenames) in os.walk(path + '/' + item):
sub_ls.extend(filenames)
break
for exc in sub_ls:
if not fnmatch.fnmatch(exc, prefix + '*'):
sub_ls = list(set(sub_ls) - set([exc]))
sub_ls.sort(key=lambda x: int(re.findall(r'\d+', x)[-1]))
first_cfg = int(re.findall(r'\d+', sub_ls[0])[-1])
last_cfg = len(sub_ls) + first_cfg - 1
for cfg in range(1, len(sub_ls)):
if int(re.findall(r'\d+', sub_ls[cfg])[-1]) != first_cfg + cfg:
last_cfg = cfg + first_cfg - 1
break
no_cfg = last_cfg - first_cfg + 1
print(item, ':', no_cfg, 'evenly spaced configurations (', first_cfg, '-', last_cfg, ') ,', len(sub_ls) - no_cfg, 'configs omitted\n')
if i == 0:
pattern = 'name ' + name + '\nquarks ' + quarks + '\noffset ' + str(noffset) + '\nwf ' + str(wf)
if b2b:
pattern += '\nwf_2 ' + str(wf2)
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(r'\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):
deltas.append([])
sublength = no_cfg
for j in range(T):
deltas[j].append(np.zeros(sublength))
for cfg in range(no_cfg):
with open(path + '/' + item + '/' + sub_ls[cfg]) as fp:
for k, line in enumerate(fp):
if k == start_read - 5 - b2b:
if line.strip() != 'name ' + name:
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[-2:][im]
result = []
for t in range(T):
result.append(Obs(deltas[t], new_names))
return result