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".
List of commits:
Subject Hash Author Date (UTC)
mplot.maxes: aspoň nějak nastavit popísky os 50e8e467c24d73d9522166183275deab547243f8 I am 2022-01-06 16:16:36
mplot.maxes: add labels to candidates plot f8aa0f271a8d30cb7d79206290409f862c406a51 I am 2022-01-06 12:14:48
mplot.maxes: add candidates sampling (rejection-like) plot 5a15e10a9a462dd409e0627528bcb8910df77c7e I am 2022-01-06 09:40:38
mplot.maxes: add candidates plot 11e156edc351ca84fde742edf7ea1d85c3b0bc38 I am 2022-01-06 08:15:43
mplot.maxes: polish tri plots a little bit 9a4e0a18061e2d9f48c0c32c200bd1a408ceb77f I am 2022-01-05 13:15:00
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
Commit 50e8e467c24d73d9522166183275deab547243f8 - mplot.maxes: aspoň nějak nastavit popísky os
Author: I am
Author date (UTC): 2022-01-06 16:16
Committer name: I am
Committer date (UTC): 2022-01-06 16:16
Parent(s): f8aa0f271a8d30cb7d79206290409f862c406a51
Signer:
Signing key:
Signing status: N
Tree: 2ec295d5ef26653bd212b62692d349b7cec16c25
File Lines added Lines deleted
mplot/maxes.py 14 0
File mplot/maxes.py changed (mode: 100644) (index bbb015e..19bbfb1)
... ... __all__ = [
34 34 ] ]
35 35
36 36
37 def _setup_labels(ax):
38 if ax.space in ('P', 'aP', 'U', 'aU'):
39 ax.set_xlabel("$x_1$")
40 ax.set_ylabel("$x_2$")
41 else:
42 ax.text(1, -0.5, '$x_1$', ha='center',va='top', transform=ax.get_yaxis_transform())
43 ax.text(-0.5, 1, '$x_2~$', ha='right',va='top', transform=ax.get_xaxis_transform())
44
45
37 46 def candidates_sampling_plot(ax, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.1]): def candidates_sampling_plot(ax, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.1]):
38 47 from .. import simplex as six from .. import simplex as six
39 48 from .. import estimation as stm from .. import estimation as stm
 
... ... def tri_nodes_plot(ax, tri_space=None, tn_scheme=None,\
161 170
162 171 mart.plot_points(ax, ms=2.5, zorder=100500) mart.plot_points(ax, ms=2.5, zorder=100500)
163 172 mart.plot_boundaries(ax, lw=0.7, zorder=1050) mart.plot_boundaries(ax, lw=0.7, zorder=1050)
173 _setup_labels(ax)
164 174
165 175 def tri_R_nodes_plot(ax, **kwargs): def tri_R_nodes_plot(ax, **kwargs):
166 176 tri_nodes_plot(ax, tri_space='R', **kwargs) tri_nodes_plot(ax, tri_space='R', **kwargs)
 
... ... def tri_plot(ax, tri_space=None, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.1]):
193 203
194 204 mart.plot_points(ax, ms=2.5, zorder=100500) mart.plot_points(ax, ms=2.5, zorder=100500)
195 205 mart.plot_boundaries(ax, lw=0.7, zorder=1050) mart.plot_boundaries(ax, lw=0.7, zorder=1050)
206 _setup_labels(ax)
207
208
196 209
197 210 def tri_R_plot(ax, **kwargs): def tri_R_plot(ax, **kwargs):
198 211 tri_plot(ax, tri_space='R', **kwargs) tri_plot(ax, tri_space='R', **kwargs)
 
... ... def convex_hull_plot(ax, tri_space=None, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.
214 227 mart.qhull_plot(ax, qhull, color="#B2B2B2", lw=0.7, zorder=100) mart.qhull_plot(ax, qhull, color="#B2B2B2", lw=0.7, zorder=100)
215 228 mart.plot_points(ax, ms=2.5, zorder=100500) mart.plot_points(ax, ms=2.5, zorder=100500)
216 229 mart.plot_boundaries(ax, lw=0.7, zorder=1050) mart.plot_boundaries(ax, lw=0.7, zorder=1050)
230 _setup_labels(ax)
217 231
218 232 def just_points(ax): def just_points(ax):
219 233 ax.set_xlabel('$x_{1}$') ax.set_xlabel('$x_{1}$')
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