mirror of
https://github.com/fjosw/pyerrors.git
synced 2025-05-15 20:13:41 +02:00
bugs in derived_array and gamma_method fixed which caused odd behaviour
in connection with irregular monte carlo chains
This commit is contained in:
parent
17f7753225
commit
0644ecf9aa
2 changed files with 3 additions and 3 deletions
|
@ -86,7 +86,7 @@ def derived_array(func, data, **kwargs):
|
||||||
for name in new_names:
|
for name in new_names:
|
||||||
d_extracted[name] = []
|
d_extracted[name] = []
|
||||||
for i_dat, dat in enumerate(data):
|
for i_dat, dat in enumerate(data):
|
||||||
ens_length = new_idl_d[name][-1] - new_idl_d[name][0] + 1
|
ens_length = len(new_idl_d[name])
|
||||||
d_extracted[name].append(np.array([_expand_deltas_for_merge(o.deltas[name], o.idl[name], o.shape[name], new_idl_d[name]) for o in dat.reshape(np.prod(dat.shape))]).reshape(dat.shape + (ens_length, )))
|
d_extracted[name].append(np.array([_expand_deltas_for_merge(o.deltas[name], o.idl[name], o.shape[name], new_idl_d[name]) for o in dat.reshape(np.prod(dat.shape))]).reshape(dat.shape + (ens_length, )))
|
||||||
|
|
||||||
for i_val, new_val in np.ndenumerate(new_values):
|
for i_val, new_val in np.ndenumerate(new_values):
|
||||||
|
|
|
@ -248,7 +248,7 @@ class Obs:
|
||||||
|
|
||||||
r_length = []
|
r_length = []
|
||||||
for r_name in e_content[e_name]:
|
for r_name in e_content[e_name]:
|
||||||
if self.idl[r_name] is range:
|
if isinstance(self.idl[r_name], range):
|
||||||
r_length.append(len(self.idl[r_name]))
|
r_length.append(len(self.idl[r_name]))
|
||||||
else:
|
else:
|
||||||
r_length.append((self.idl[r_name][-1] - self.idl[r_name][0] + 1))
|
r_length.append((self.idl[r_name][-1] - self.idl[r_name][0] + 1))
|
||||||
|
@ -339,7 +339,7 @@ class Obs:
|
||||||
idx -- List or range of configs on which the deltas are defined.
|
idx -- List or range of configs on which the deltas are defined.
|
||||||
shape -- Number of configs in idx.
|
shape -- Number of configs in idx.
|
||||||
"""
|
"""
|
||||||
if type(idx) is range:
|
if isinstance(idx, range):
|
||||||
return deltas
|
return deltas
|
||||||
else:
|
else:
|
||||||
ret = np.zeros(idx[-1] - idx[0] + 1)
|
ret = np.zeros(idx[-1] - idx[0] + 1)
|
||||||
|
|
Loading…
Add table
Add a link
Reference in a new issue