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Merge branch 'v2.1.0+dev' into develop

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This commit is contained in:
Fabian Joswig 2022-03-31 11:41:25 +01:00
commit 40fea8a698
5 changed files with 45 additions and 51 deletions
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6
pyerrors/input/json.py
View file

@ -358,7 +358,7 @@ def _parse_json_dict(json_dict, verbose=True, full_output=False):
ret = Obs([[ddi[0] + values[0] for ddi in di] for di in od['deltas']], od['names'], idl=od['idl'])
ret.is_merged = od['is_merged']
else:
ret = Obs([], [])
ret = Obs([], [], means=[])
ret._value = values[0]
for name in cd:
co = cd[name][0]
@ -383,7 +383,7 @@ def _parse_json_dict(json_dict, verbose=True, full_output=False):
ret.append(Obs([list(di[:, i] + values[i]) for di in od['deltas']], od['names'], idl=od['idl']))
ret[-1].is_merged = od['is_merged']
else:
ret.append(Obs([], []))
ret.append(Obs([], [], means=[]))
ret[-1]._value = values[i]
print('Created Obs with means= ', values[i])
for name in cd:
@ -410,7 +410,7 @@ def _parse_json_dict(json_dict, verbose=True, full_output=False):
ret.append(Obs([di[:, i] + values[i] for di in od['deltas']], od['names'], idl=od['idl']))
ret[-1].is_merged = od['is_merged']
else:
ret.append(Obs([], []))
ret.append(Obs([], [], means=[]))
ret[-1]._value = values[i]
for name in cd:
co = cd[name][i]

82
pyerrors/obs.py
View file

@ -90,51 +90,44 @@ class Obs:
self.deltas = {}
self._covobs = {}
self._value = 0
self.N = 0
self.is_merged = {}
self.idl = {}
if len(samples):
if idl is not None:
for name, idx in sorted(zip(names, idl)):
if isinstance(idx, range):
self.idl[name] = idx
elif isinstance(idx, (list, np.ndarray)):
dc = np.unique(np.diff(idx))
if np.any(dc < 0):
raise Exception("Unsorted idx for idl[%s]" % (name))
if len(dc) == 1:
self.idl[name] = range(idx[0], idx[-1] + dc[0], dc[0])
else:
self.idl[name] = list(idx)
if idl is not None:
for name, idx in sorted(zip(names, idl)):
if isinstance(idx, range):
self.idl[name] = idx
elif isinstance(idx, (list, np.ndarray)):
dc = np.unique(np.diff(idx))
if np.any(dc < 0):
raise Exception("Unsorted idx for idl[%s]" % (name))
if len(dc) == 1:
self.idl[name] = range(idx[0], idx[-1] + dc[0], dc[0])
else:
raise Exception('incompatible type for idl[%s].' % (name))
else:
for name, sample in sorted(zip(names, samples)):
self.idl[name] = range(1, len(sample) + 1)
self._value = 0
self.N = 0
if kwargs.get("means") is not None:
for name, sample, mean in sorted(zip(names, samples, kwargs.get("means"))):
self.shape[name] = len(self.idl[name])
self.N += self.shape[name]
self.r_values[name] = mean
self.deltas[name] = sample
else:
for name, sample in sorted(zip(names, samples)):
self.shape[name] = len(self.idl[name])
self.N += self.shape[name]
if len(sample) != self.shape[name]:
raise Exception('Incompatible samples and idx for %s: %d vs. %d' % (name, len(sample), self.shape[name]))
self.r_values[name] = np.mean(sample)
self.deltas[name] = sample - self.r_values[name]
self._value += self.shape[name] * self.r_values[name]
self._value /= self.N
self.is_merged = {}
self.idl[name] = list(idx)
else:
raise Exception('incompatible type for idl[%s].' % (name))
else:
self._value = 0
self.is_merged = {}
self.N = 0
for name, sample in sorted(zip(names, samples)):
self.idl[name] = range(1, len(sample) + 1)
if kwargs.get("means") is not None:
for name, sample, mean in sorted(zip(names, samples, kwargs.get("means"))):
self.shape[name] = len(self.idl[name])
self.N += self.shape[name]
self.r_values[name] = mean
self.deltas[name] = sample
else:
for name, sample in sorted(zip(names, samples)):
self.shape[name] = len(self.idl[name])
self.N += self.shape[name]
if len(sample) != self.shape[name]:
raise Exception('Incompatible samples and idx for %s: %d vs. %d' % (name, len(sample), self.shape[name]))
self.r_values[name] = np.mean(sample)
self.deltas[name] = sample - self.r_values[name]
self._value += self.shape[name] * self.r_values[name]
self._value /= self.N
self._dvalue = 0.0
self.ddvalue = 0.0
@ -1490,7 +1483,8 @@ def import_jackknife(jacks, name, idl=None):
length = len(jacks) - 1
prj = (np.ones((length, length)) - (length - 1) * np.identity(length))
samples = jacks[1:] @ prj
new_obs = Obs([samples], [name], idl=idl)
mean = np.mean(samples)
new_obs = Obs([samples - mean], [name], idl=idl, means=[mean])
new_obs._value = jacks[0]
return new_obs
@ -1549,7 +1543,7 @@ def cov_Obs(means, cov, name, grad=None):
co : Covobs
Covobs to be embedded into the Obs
"""
o = Obs([], [])
o = Obs([], [], means=[])
o._value = co.value
o.names.append(co.name)
o._covobs[co.name] = co

2
pyerrors/version.py
View file

@ -1 +1 @@
__version__ = "2.0.0"
__version__ = "2.1.0+dev"