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)
simplex: add simple filter function for rejection sampling a58d3814dfd3366ef536c90b37fd50e3edccc9e9 I am 2022-01-19 17:38:08
whitebox: add rude approximation for sumexp. (Je teda opravdu hodně nepřesná) 281f66ac70e21756415c8efecfdee50873b34b58 I am 2022-01-18 22:25:51
whitebox: add four betas class 57a25000259e74f1ac28bb1bac6b0cc01dd5201c I am 2022-01-18 21:43:00
whitebox: introduce Gaussian_Z_prod_2D class with respective exact solution 13e592f107918d4cc3daaeec1f08e38779a943aa I am 2022-01-18 18:51:23
mplot: polish maxes and mfigs dfb9193da5fcb633fbe58fb39ff7b4432de4a5c5 I am 2022-01-18 00:44:56
testcases: add gaussian_2D module c5e279c08bba39bdd82c79d15d00241c786c795d I am 2022-01-18 00:06:36
qt_gui.qt_testcases: simplify code for the unparametrized testcases 60b7678186738107b3346beae7fb0744570d60fc I am 2022-01-18 00:05:34
mplot.mart: move setup_labels to mart module 9d7783a3a9905a72c51b4fec76e367dffdbc4563 I am 2022-01-17 17:33:16
mplot.__init__: set up small non zero padding (0.01) f0d23235b109c4224599eb0426ad0d9ee8b2a9b8 I am 2022-01-17 17:31:44
mplot: raster candidates, polishing 63d6d00dfe7affc8ed3d05161fd4a5b50db62207 I am 2022-01-17 16:34:05
mplot: more figures 3a7f54e09cd78a2fc2ff50d7cf5c142f04ffdc28 I am 2022-01-09 00:42:33
testcases: add proxy_prod 2D testcase edb11ab54bcf677757974f133d2d66816b701ade I am 2022-01-09 00:41:27
stm_df: fix proxy, pandas nějak nám šťourá v našich boolean maticích 1d9f360edfc03932a08dff8aad97f189b155e708 I am 2022-01-09 00:39:24
mplot.maxes: a little bit more to labels d989a2d1b69b116a14f7ff81776f5f75d80cfea0 I am 2022-01-06 17:48:57
mplot.figs: add double and triple triangulations plots 091361cc326239b552078c489f9f164ccda4f54b I am 2022-01-06 16:17:50
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
Commit a58d3814dfd3366ef536c90b37fd50e3edccc9e9 - simplex: add simple filter function for rejection sampling
Author: I am
Author date (UTC): 2022-01-19 17:38
Committer name: I am
Committer date (UTC): 2022-01-19 17:38
Parent(s): 281f66ac70e21756415c8efecfdee50873b34b58
Signer:
Signing key:
Signing status: N
Tree: a4c96fa93a275173d5cd9d0fed05444b42166615
File Lines added Lines deleted
simplex.py 21 0
File simplex.py changed (mode: 100644) (index ba97886..fbe116d)
... ... def get_COBYLA_constraints(convex_hull):
1336 1336
1337 1337
1338 1338
1339 def filter(Tri, candidates):
1340 """
1341 Metoda musí souřádnicím přiřazovat jev
1342 "success", "failure", "mix", "outside"
1343 """
1344
1345 # tady byl problém. Funkce byla původně navržena tak,
1346 # aby ji nezajimalo co je na vstupu
1347 # to ale nefunguje
1348 # další funkce jako výstup očekavají něco s validním R-kem
1349 # no tj. já zde provádím posouzení transformací z R-ka vstupních souřadnic
1350 candidates_tri_space = getattr(candidates, Tri.tri_space)
1351
1352
1353 found_simplices = Tri.tri.find_simplex(candidates_tri_space)
1354 current_simplices = Tri.tri.simplices[found_simplices[found_simplices!=-1]]
1355
1356 # -1 = 'out', 0=success, 1=failure, 2=mix
1357 found_simplices[found_simplices!=-1] = Tri.get_events(current_simplices)
1358
1359 return found_simplices
1339 1360
1340 1361
1341 1362
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