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Included reading of oQCD2.0 reweighting Faktoren
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jkuhl-uni
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commit
c2da557d6f
1 changed files with 106 additions and 25 deletions
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@ -222,7 +222,6 @@ def read_sfcf_c(path, prefix, name, quarks='.*', noffset=0, wf=0, wf2=0, **kwarg
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result = []
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for t in range(T):
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result.append(Obs(deltas[t], new_names))
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return result
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@ -284,8 +283,56 @@ def read_qtop(path, prefix, **kwargs):
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return result
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def parse_array_openQCD2(d, n, size, wa, quadrupel=False):
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arr = []
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if d == 2:
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tot = 0
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for i in range(n[d-1]-1):
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if quadrupel:
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tmp = wa[tot:n[d-1]]
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tmp2 = []
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for i in range(len(tmp)):
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if i % 2 == 0:
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tmp2.append(tmp[i])
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arr.append(tmp2)
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else:
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arr.append(np.asarray(wa[tot:n[d-1]]))
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return arr
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def read_rwms(path, prefix, **kwargs):
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# mimic the read_array routine of openQCD-2.0.
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# fp is the opened file handle
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# returns the dict array
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# at this point we only parse a 2d array
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# d = 2
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# n = [nfct[irw], 2*nsrc[irw]]
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def read_array_openQCD2(fp):
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t = fp.read(4)
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d = struct.unpack('i', t)[0]
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t = fp.read(4*d)
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n = struct.unpack('%di' % (d), t)
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t = fp.read(4)
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size = struct.unpack('i', t)[0]
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if size == 4:
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types = 'i'
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elif size == 8:
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types = 'd'
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elif size == 16:
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types = 'dd'
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else:
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print('Type not known!')
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m = n[0]
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for i in range(1,d):
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m *= n[i]
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t = fp.read(m*size)
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#print("struct.calc tmp = "+str(struct.calcsize('%d%s' % (m, types))))
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tmp = struct.unpack('%d%s' % (m, types), t)
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arr = parse_array_openQCD2(d, n, size, tmp, quadrupel=True)
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return {'d': d, 'n': n, 'size': size, 'arr': arr}
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def read_rwms(path, prefix, names=None, **kwargs):
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"""Read rwms format from given folder structure. Returns a list of length nrw
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Keyword arguments
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@ -293,14 +340,25 @@ def read_rwms(path, prefix, **kwargs):
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new_format -- if True, the array of the associated numbers of Hasenbusch factors is extracted (v>=openQCD1.6)
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r_start -- list which contains the first config to be read for each replicum
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r_stop -- list which contains the last config to be read for each replicum
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oqcd_ver_string -- openQCD version
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postfix -- postfix of the file to read, e.g. '.ms1' for openQCD-files
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"""
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if kwargs.get('new_format'):
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extract_nfct = 1
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#oqcd versions implemented in this method
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known_oqcd_versions = ['1.4','1.6','2.0']
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if 'oqcd_ver_string' in kwargs:
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ver_str = kwargs.get('oqcd_ver_string')
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if not (ver_str in known_oqcd_versions):
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raise Exception('Unknown openQCD version defined!')
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else: #Set defaults for openQCD Version to be version 1.4, emulate the old behaviour of this method
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if 'new_format':
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ver_str = '1.6'
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else:
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ver_str = '1.4'
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print("Working with oQCD version:" + ver_str)
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if 'postfix' in kwargs:
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postfix = kwargs.get('postfix')
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else:
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extract_nfct = 0
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postfix = ''
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ls = []
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for (dirpath, dirnames, filenames) in os.walk(path):
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ls.extend(filenames)
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@ -312,10 +370,12 @@ def read_rwms(path, prefix, **kwargs):
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# Exclude files with different names
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for exc in ls:
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if not fnmatch.fnmatch(exc, prefix + '*.dat'):
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if not fnmatch.fnmatch(exc, prefix + '*'+postfix+'.dat'):
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ls = list(set(ls) - set([exc]))
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if len(ls) > 1:
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ls.sort(key=lambda x: int(re.findall(r'\d+', x[len(prefix):])[0]))
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#ls = fnames
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#print(ls)
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replica = len(ls)
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if 'r_start' in kwargs:
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@ -351,23 +411,25 @@ def read_rwms(path, prefix, **kwargs):
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t = fp.read(4) # number of reweighting factors
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if rep == 0:
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nrw = struct.unpack('i', t)[0]
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if ver_str == '2.0':
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nrw = int(nrw/2)
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for k in range(nrw):
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deltas.append([])
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else:
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if nrw != struct.unpack('i', t)[0]:
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if ((nrw != struct.unpack('i', t)[0] and (not ver_str == '2.0')) or (nrw != struct.unpack('i', t)[0]/2 and ver_str == '2.0')):#little weird if-clause due to the /2 operation needed...
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print('Error: different number of reweighting factors for replicum', rep)
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sys.exit()
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for k in range(nrw):
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tmp_array.append([])
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# This block is necessary for openQCD1.6 ms1 files
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# This block is necessary for openQCD1.6 and openQCD2.0 ms1 files
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nfct = []
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if extract_nfct == 1:
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if ver_str in ['1.6','2.0']:
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for i in range(nrw):
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t = fp.read(4)
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nfct.append(struct.unpack('i', t)[0])
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print('nfct: ', nfct) # Hasenbusch factor, 1 for rat reweighting
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#print('nfct: ', nfct) # Hasenbusch factor, 1 for rat reweighting
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else:
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for i in range(nrw):
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nfct.append(1)
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@ -376,6 +438,10 @@ def read_rwms(path, prefix, **kwargs):
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for i in range(nrw):
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t = fp.read(4)
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nsrc.append(struct.unpack('i', t)[0])
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if (ver_str == '2.0'):
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if not struct.unpack('i', fp.read(4))[0] == 0:
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print('something is wrong!')
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print('nfct:', nfct, 'nsrc:', nsrc)
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#body
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while 0 < 1:
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@ -385,16 +451,28 @@ def read_rwms(path, prefix, **kwargs):
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if print_err:
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config_no = struct.unpack('i', t)
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for i in range(nrw):
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tmp_nfct = 1.0
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for j in range(nfct[i]):
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t = fp.read(8 * nsrc[i])
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t = fp.read(8 * nsrc[i])
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tmp_rw = struct.unpack('d' * nsrc[i], t)
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tmp_nfct *= np.mean(np.exp(-np.asarray(tmp_rw)))
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if print_err:
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print(config_no, i, j, np.mean(np.exp(-np.asarray(tmp_rw))), np.std(np.exp(-np.asarray(tmp_rw))))
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print('Sources:', np.exp(-np.asarray(tmp_rw)))
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print('Partial factor:', tmp_nfct)
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if(ver_str == '2.0'):
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tmpd = read_array_openQCD2(fp)
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tmpd = read_array_openQCD2(fp)
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tmp_rw = tmpd['arr']
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tmp_nfct = 1.0
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for j in range(tmpd['n'][0]):
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tmp_nfct *= np.mean(np.exp(-np.asarray(tmp_rw[j])))
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if print_err:
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print(config_no, i, j, np.mean(np.exp(-np.asarray(tmp_rw[j]))), np.std(np.exp(-np.asarray(tmp_rw[j]))))
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print('Sources:', np.exp(-np.asarray(tmp_rw[j])))
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print('Partial factor:', tmp_nfct)
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elif(ver_str=='1.6' or ver_str=='1.4'):
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tmp_nfct = 1.0
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for j in range(nfct[i]):
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t = fp.read(8 * nsrc[i])
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t = fp.read(8 * nsrc[i])
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tmp_rw = struct.unpack('d' * nsrc[i], t)
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tmp_nfct *= np.mean(np.exp(-np.asarray(tmp_rw)))
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if print_err:
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print(config_no, i, j, np.mean(np.exp(-np.asarray(tmp_rw))), np.std(np.exp(-np.asarray(tmp_rw))))
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print('Sources:', np.exp(-np.asarray(tmp_rw)))
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print('Partial factor:', tmp_nfct)
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tmp_array[i].append(tmp_nfct)
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for k in range(nrw):
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@ -403,8 +481,11 @@ def read_rwms(path, prefix, **kwargs):
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print(',', nrw, 'reweighting factors with', nsrc, 'sources')
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result = []
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for t in range(nrw):
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result.append(Obs(deltas[t], [(w.split('.'))[0] for w in ls]))
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if names == None:
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result.append(Obs(deltas[t], [w.split(".")[0] for w in ls]))
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else:
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print(names)
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result.append(Obs(deltas[t], names))
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return result
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