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.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
schemes: oprava komentaře bfa1fd1f1e1fe2e86838ee2f63f43fab50d0d115 I am 2021-12-22 13:40:45
schemes: send degree parameter as is to quadpy. a1758193a21bf47031e376612418c26c1eb1d289 I am 2021-12-22 11:53:30
qt_gui: allow zero degree for cubature schemes ed4cf50cdbf382999ef9e161dbec0e97ed508739 I am 2021-12-22 11:52:03
simplex: teď budeme hlídát aby vysledek integrace nebyl záporný 173727edac0fb6611aaa2da2ed0d200a7377a2a4 I am 2021-12-22 08:31:01
dicebox: comment out our favorite print debug 2963588b1d47a8c35a0c3ae8c611427ecbb3a843 I am 2021-12-22 08:30:16
mplot.mart: use fancy arrows instead of triangle markers ac42eaf4b8e12037720601d2335d44ae0b057feb I am 2021-12-22 04:32:06
mplot: use the same global settings for both TeX and nonTeX plots 3aab574123f38a35557e5c018b2e947da7feca0a I am 2021-12-22 04:22:58
mplot.misc: do not import pyplot 9072d3b25e614763a5904e1f6b14b8bf495834fa I am 2021-12-22 04:21:25
dicebox.Goal: add additional stats. Jsou to věci, které člověk by chtěl vědět. 45e8296c954705ca30c311e43e570c82c2f5113d I am 2021-12-20 02:49:15
dicebox: pochybná optimizace výběru kandidatů s použitím vlastního slovníku. Pořádně bych musel překopat celý DiceBox. 0f30c4301a1f2b40556a9c84ee4b8c53638a6571 I am 2021-12-19 20:33:43
simplex: bottleneck optimization. Překopal jsem triangulation.update() 3a110baebb237b3f99ec338c2b19f375cdcb5819 Aleksei Gerasimov 2021-12-13 15:31:38
convex_hull: improve orth estimator. Brat ndim nejbližších hyperrovin. Funguje dobře. Co vidím, numpy hlídá ortogonalitu, za mě cajk. e29b374abde5e3e35dd22f327dc709927411a7b5 I am 2021-12-13 00:09:59
Commit 732f16a441c1a5f1160b45d91a050683ee70ff5d - mplot.maxes: prepare convex_hull_plot() function
Author: I am
Author date (UTC): 2022-01-03 15:26
Committer name: I am
Committer date (UTC): 2022-01-03 15:26
Parent(s): 59de205056903adf87f84c5c1b022c3c83fa9c57
Signer:
Signing key:
Signing status: N
Tree: 4596f2c161a9af25e21d1e2702c4282a08c3f8f5
File Lines added Lines deleted
mplot/maxes.py 15 0
File mplot/maxes.py changed (mode: 100644) (index 97f3ca7..d912efc)
12 12 import numpy as np import numpy as np
13 13 from . import mart from . import mart
14 14
15
15 16 # it is mostly for qt_plot, it offers availiable options to user # it is mostly for qt_plot, it offers availiable options to user
16 17 __all__ = [ __all__ = [
18 'convex_hull_plot',
17 19 'just_points', 'just_points_really', 'just_points', 'just_points_really',
18 20 'base_drawing', 'candidates_drawing', 'base_drawing', 'candidates_drawing',
19 21 'just_qhull', 'qhull_plot', 'qhull_infinite', 'just_qhull', 'qhull_plot', 'qhull_infinite',
 
... ... __all__ = [
24 26 ] ]
25 27
26 28
29
30 def convex_hull_plot(ax, tri_space=None, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.1]):
31 from .. import convex_hull as khull
32 if tri_space is None:
33 tri_space = ax.space
34
35 mart.setup(ax)
36 mart.curly(ax, linewidths=linewidths)
37 qhull = khull.QHull(ax.sample_box, space=tri_space, incremental=False)
38 mart.qhull_plot(ax, qhull, color="#B2B2B2", zorder=100)
39 mart.scatter_points(ax, zorder=100500)
40 mart.plot_boundaries(ax)
41
27 42 def just_points(ax): def just_points(ax):
28 43 ax.set_xlabel('$x_{1}$') ax.set_xlabel('$x_{1}$')
29 44 ax.set_ylabel('$x_{2}$') ax.set_ylabel('$x_{2}$')
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