From a116a4b5bc998aae3bd741728c6d5db310a65e3d Mon Sep 17 00:00:00 2001 From: fjosw Date: Fri, 12 Nov 2021 09:40:37 +0000 Subject: [PATCH] Documentation updated --- docs/pyerrors/linalg.html | 4 ++-- docs/pyerrors/obs.html | 12 ++++++------ 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/pyerrors/linalg.html b/docs/pyerrors/linalg.html index 436fe13d..c4ba6459 100644 --- a/docs/pyerrors/linalg.html +++ b/docs/pyerrors/linalg.html @@ -187,7 +187,7 @@ for name in new_names: d_extracted[name] = [] 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, ))) for i_val, new_val in np.ndenumerate(new_values): @@ -743,7 +743,7 @@ for name in new_names: d_extracted[name] = [] 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, ))) for i_val, new_val in np.ndenumerate(new_values): diff --git a/docs/pyerrors/obs.html b/docs/pyerrors/obs.html index 848f7465..6eb16cc1 100644 --- a/docs/pyerrors/obs.html +++ b/docs/pyerrors/obs.html @@ -565,7 +565,7 @@ r_length = [] 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])) else: r_length.append((self.idl[r_name][-1] - self.idl[r_name][0] + 1)) @@ -656,7 +656,7 @@ idx -- List or range of configs on which the deltas are defined. shape -- Number of configs in idx. """ - if type(idx) is range: + if isinstance(idx, range): return deltas else: ret = np.zeros(idx[-1] - idx[0] + 1) @@ -2069,7 +2069,7 @@ r_length = [] 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])) else: r_length.append((self.idl[r_name][-1] - self.idl[r_name][0] + 1)) @@ -2160,7 +2160,7 @@ idx -- List or range of configs on which the deltas are defined. shape -- Number of configs in idx. """ - if type(idx) is range: + if isinstance(idx, range): return deltas else: ret = np.zeros(idx[-1] - idx[0] + 1) @@ -2974,7 +2974,7 @@ already subtracted from the samples r_length = [] 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])) else: r_length.append((self.idl[r_name][-1] - self.idl[r_name][0] + 1)) @@ -3101,7 +3101,7 @@ of the autocorrelation function (default True) idx -- List or range of configs on which the deltas are defined. shape -- Number of configs in idx. """ - if type(idx) is range: + if isinstance(idx, range): return deltas else: ret = np.zeros(idx[-1] - idx[0] + 1)