iam-git / WellMet (public) (License: MIT) (since 2021-08-31) (hash sha1)
WellMet is pure Python framework for spatial structural reliability analysis. Or, more specifically, for "failure probability estimation and detection of failure surfaces by adaptive sequential decomposition of the design domain".
Clone URLs: https://rocketgit.com/user/iam-git/WellMet ssh://rocketgit@ssh.rocketgit.com/user/iam-git/WellMet git://git.rocketgit.com/user/iam-git/WellMet
release trunk
List of commits:
Subject Hash Author Date (UTC)
mplot.mart: add plot_points() function 2c799e22d9f45b825a7f8a795ce6b9fe5fbd9c76 I am 2022-01-05 13:14:12
mplot.maxes: add convergence diagrams 813b1e8e9dd9d1e51951c51234910cdf2281cde8 I am 2022-01-05 09:07:18
mplot.mgraph: hračky s legendou 198cc40947d48b2a3cde990254def7d57c1535a6 I am 2022-01-05 09:04:23
mplot: apply default settings to figures 765d830e0230b3d85f079eb26c6eddfdb624b859 I am 2022-01-05 09:03:15
simplex: try garbage collection 45148d2665eea195c05de5852b15485d83cb7223 I am 2022-01-05 06:10:46
testcases: add Gaussian Z_min testcase 50bc3f27365e60db67f100c89ebc49b52e948645 I am 2022-01-04 13:55:59
whitebox: add Gaussian Z_min whitebox e989c87895d681920056558a0b9473b93c3b299b I am 2022-01-04 13:54:37
schemes: přídat pár komentářů k schematům e8f1665d43cfb70e89716f591852538df0e27d8c I am 2022-01-04 09:00:36
mplot.maxes: tri_nodes_plot is almost ready. Zbyvá to udělat hezky 251a0f4b7909a5468453cfb518c2bbb4064cce51 I am 2022-01-04 06:42:36
mplot.maxes: add complete tri plots 08c6e421188c4251cae1aa664a69bdc3a0afb314 I am 2022-01-04 05:45:21
mplot.mart: add tri_plot() function aace2f9d02b7744651a089c164af9b7b5824729e I am 2022-01-04 05:44:14
simplex: fix use before initialization ff8be3dcc679c4893948d7d1dc6c45402ccee81b I am 2022-01-04 05:43:17
mplot.maxes: prepare convex_hull_plot() function 732f16a441c1a5f1160b45d91a050683ee70ff5d I am 2022-01-03 15:26:59
mplot.mart: comment out old convex plot function, prepare qhull_plot instead 59de205056903adf87f84c5c1b022c3c83fa9c57 I am 2022-01-03 15:24:30
mplot.mgraph: prepare orth graph routines 74e30ed99fcc6e68c6b3bf7e55bbd93fe8f26d13 I am 2022-01-02 11:18:11
convex_hull: complicate orth estimator ba5f40eaf0f5f4012ef07f5684d58481cefbfe09 I am 2021-12-28 13:56:19
reader: explicitly use utf-8 encoding. (Nemělo by to nic pokazit.. Pitomé nastavení ve Windows) 17bc8a9692695c22f78f8a39ed8aaddd4bfa4808 I am 2021-12-26 22:59:41
dicebox: walk throw candidates in reversed order cadf89d0efc973d540b4ee6b337eb175ae962ee8 I am 2021-12-24 21:03:00
schemes: exclude walkington 5 and 7 (2D and 3D schemes) from offer in higher dimensions 4d7b7e249c18c41f9220c778ada21116cca02aa0 I am 2021-12-23 23:52:07
simplex: implement fallback integration 9a1048540d803a76cba8c92ca67efc16c932f1a9 I am 2021-12-23 22:36:38
Commit 2c799e22d9f45b825a7f8a795ce6b9fe5fbd9c76 - mplot.mart: add plot_points() function
Author: I am
Author date (UTC): 2022-01-05 13:14
Committer name: I am
Committer date (UTC): 2022-01-05 13:14
Parent(s): 813b1e8e9dd9d1e51951c51234910cdf2281cde8
Signer:
Signing key:
Signing status: N
Tree: ca823233a5a637b50c9dcf3d45f91ef740107cfb
File Lines added Lines deleted
mplot/mart.py 40 0
File mplot/mart.py changed (mode: 100644) (index aed4017..e346daf)
... ... def scatter_points(ax, **kwargs):
85 85 return scatter_list # success, failures, proxy_successes, proxy_failures return scatter_list # success, failures, proxy_successes, proxy_failures
86 86
87 87
88 def plot_points(ax, ls='', **kwargs):
89 xy = getattr(ax.sample_box, ax.space)
90 nsim = len(xy)
91 x, y = xy[:,:2].T
92
93 failsi = ax.sample_box.failsi
94
95 try: # proxy denotes to implicitly-known values
96 proxy = ax.sample_box.proxy
97 except AttributeError:
98 proxy = np.full(nsim, False, dtype=np.bool)
99
100 plot_list = []
101
102 #č byl jsem svědkem, že matplotlib zlobil ve 3D
103 #č kvůli tomu, že nebyl žádný safe vzorek
104 #č proto raději budu přidávat tečky podmíněne
105 mask = np.all((~failsi, ~proxy), axis=0)
106 if np.any(mask): #success
107 plot_list.append(ax.plot(x[mask], y[mask], mec='g', mfc='g',\
108 marker='P', ls=ls, **kwargs))
109
110 mask = np.all((failsi, ~proxy), axis=0)
111 if np.any(mask): #failures
112 plot_list.append(ax.plot(x[mask], y[mask], mec='r', mfc='r',\
113 marker='X', ls=ls, **kwargs))
114
115 mask = np.all((~failsi, proxy), axis=0)
116 if np.any(mask): #proxy_successes
117 plot_list.append(ax.plot(x[mask], y[mask], mec='#77AC30', mfc='#77AC30',\
118 marker='h', ls=ls, **kwargs))
119
120 mask = np.all((failsi, proxy), axis=0)
121 if np.any(mask): #proxy_failures
122 plot_list.append(ax.plot(x[mask], y[mask], mec='#D95319', mfc='#D95319',\
123 marker='H', ls=ls, **kwargs))
124
125 return plot_list # success, failures, proxy_successes, proxy_failures
126
127
88 128 #č triplot - pokud ax.space == tri_space #č triplot - pokud ax.space == tri_space
89 129 #č tri_plot - pokud ax.space != Tri.tri_space #č tri_plot - pokud ax.space != Tri.tri_space
90 130 def tri_plot(ax, Tri=None, fmt='-', ns=100, **kwargs): def tri_plot(ax, Tri=None, fmt='-', ns=100, **kwargs):
Hints:
Before first commit, do not forget to setup your git environment:
git config --global user.name "your_name_here"
git config --global user.email "your@email_here"

Clone this repository using HTTP(S):
git clone https://rocketgit.com/user/iam-git/WellMet

Clone this repository using ssh (do not forget to upload a key first):
git clone ssh://rocketgit@ssh.rocketgit.com/user/iam-git/WellMet

Clone this repository using git:
git clone git://git.rocketgit.com/user/iam-git/WellMet

You are allowed to anonymously push to this repository.
This means that your pushed commits will automatically be transformed into a merge request:
... clone the repository ...
... make some changes and some commits ...
git push origin main