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)
qt_gui.qt_gui: use ConvexSolver instead of ContactSolver (which did not work correctly) c1e49a9b2c3cc13886d317b460d7598f661cf216 I am 2022-10-14 04:01:06
voronoi: add fantastic ConvexSolver 2853826e5ef1abc79d3ac2fb8289b13c45211a31 I am 2022-10-14 04:00:14
qt_gui.qt_plot: add (finally!) Numbers class 4cdc658c0fcc857c23c0e39e91e7a1ce5e1b30a1 I am 2022-10-13 06:23:46
qt_gui.qt_gui: show contacts in distance matrix. Based on ContactSolver for now 21bd6101888d9f06d7d6a7c6ba2732ff30fdd68d I am 2022-10-13 04:16:41
voronoi: ContactSolver is ready. Ale je to na nic. Pomalá, potvora 28e2442b0101eac2407ed4a69c6f757ffd579cf1 I am 2022-10-13 04:14:59
voronoi: add some preliminary lines of ContactSolver. WIP 6a203b278c9fa6de7da75c402c80f78d40164fdf I am 2022-10-12 23:38:59
voronoi: přídat pár těžkých smyček. WIP 7b0ffb602ae00ab2f12dc98d34c35ec20afa3cc4 I am 2022-10-12 00:13:36
add to repo voronoi module. WIP f43768c22d88fac7c7095be02d8c9b5620153976 I am 2022-10-11 03:29:49
convex_hull.Grick: malý puntičkářský fix v get_r() cfa07257b9ebadc21f2bd295d35978072fac19e9 I am 2022-10-10 07:14:26
qt_gui.qt_plot: add Grick to Ghull widget d90b9a87c3ef0989951a45b2a22346381ce16f02 I am 2022-10-10 03:17:24
convex_hull: implement Grick convex hull aproximation d09ca2e6aca41cfc67f3303eb97b97dd9c6f1fba I am 2022-10-10 03:15:52
qt_gui.qt_gui: distance matrix viewer is ready a532e5259c081a1aff193d3b61e0104c42b08f20 I am 2022-10-08 20:52:14
qt_gui.qt_gui: prepare distance matrix window 4eaea3305643c60c35f0b22421a7e57dbe7a7817 I am 2022-10-08 02:59:01
qt_gui.qt_graph_widgets: set up x limits for all graph widgets 413d114f6a4e4b45c6cd44959cc42588bb7c8008 I am 2022-10-07 22:54:46
qt_gui.qt_plot: set up equal aspect by default 11bfe09b3e96881ef6f7c8202a6723b6e8adc03a I am 2022-10-07 21:41:18
qt_gui.qt_gui: hide "connect/disconnect" button. It wasn't really supported d9f195fe0611d6cf9a8154f0175c6c9506d56247 I am 2022-10-07 21:33:07
qt_gui.qt_plot: fix zero r cirkle (off by one error) 681397de6d075b693897d5f64004c0eb481fd36f I am 2022-10-07 20:34:44
qt_gui: replace globally QtGui by QtWidgets 969a659ae31728e75f587f25f54bab1ae5d6bfff I am 2022-10-07 12:45:34
qt_gui: add radia in Gaussian space (GRaph) widget e3f5be57dcdc6bdd06cda0594ffd795ef5bc8ccc I am 2022-10-07 01:15:38
testcases.testcases_2d: fix natafm_plane pf 75006ccd448c9717c13659e8ceb68800fbda39a7 I am 2022-06-26 12:03:39
Commit c1e49a9b2c3cc13886d317b460d7598f661cf216 - qt_gui.qt_gui: use ConvexSolver instead of ContactSolver (which did not work correctly)
Author: I am
Author date (UTC): 2022-10-14 04:01
Committer name: I am
Committer date (UTC): 2022-10-14 04:01
Parent(s): 2853826e5ef1abc79d3ac2fb8289b13c45211a31
Signer:
Signing key:
Signing status: N
Tree: 9bf01afcb5b2a6d44ff91b55728a8653a60815f2
File Lines added Lines deleted
wellmet/qt_gui/qt_gui.py 2 2
File wellmet/qt_gui/qt_gui.py changed (mode: 100644) (index 9042ad5..90fb374)
... ... from pyqtgraph import console
10 10 import numpy as np import numpy as np
11 11 from scipy import spatial # for distance matrix from scipy import spatial # for distance matrix
12 12 from . import qt_graph_widgets from . import qt_graph_widgets
13 from ..voronoi import ContactSolver
13 from ..voronoi import ConvexSolver
14 14 from .. import reader from .. import reader
15 15
16 16
 
... ... class QtGuiWindow(QtWidgets.QMainWindow):
546 546 #č takhle funguje, jinak nefunguje #č takhle funguje, jinak nefunguje
547 547 #mask[failure_points][:,failure_points] = 0 #mask[failure_points][:,failure_points] = 0
548 548
549 CS = ContactSolver(sample_space)
549 CS = ConvexSolver(sample_space)
550 550 contacts = np.zeros((nsim, nsim), dtype=np.bool8) contacts = np.zeros((nsim, nsim), dtype=np.bool8)
551 551 for i in range(nsim): for i in range(nsim):
552 552 for j in range(i): for j in range(i):
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