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How to use concentrer method in SeleniumBase
Best Python code snippet using SeleniumBase
__init__.py
Source:__init__.py 
...103 return104 personnage.agir("magie")105 personnage.etats.ajouter("magie")106 if parchemin:107 sort.concentrer(personnage, None, apprendre=False,108 maitrise=maitrise)109 parchemin.charges -= 1110 else:111 sort.concentrer(personnage, None, maitrise=maitrise)112 else:113 if sort.type_cible == "aucune":114 personnage << "|err|Ce sort ne peut être lancé sur une " \115 "cible.|ff|"116 else:117 # Vérification du type de cible118 if sort.type_cible == "personnage" and not isinstance(cible,119 Personnage):120 personnage << "|err|Ce sort ne peut être lancé que sur " \121 "un personnage ou une créature.|ff|"122 return123 if sort.type_cible == "objet" and not isinstance(cible, Objet):124 personnage << "|err|Ce sort ne peut être lancé que sur " \125 "un objet.|ff|"126 return127 if not sort.peut_lancer(personnage):128 personnage << "|err|Vous ne pouvez lancer ce sort.|ff|"129 return130 personnage.agir("magie")131 personnage.etats.ajouter("magie")132 if parchemin:133 sort.concentrer(personnage, cible, apprendre=False,134 maitrise=maitrise)135 parchemin.charges -= 1136 else:...
faisceaux_anim.py
Source:faisceaux_anim.py
1import math2import numpy as np3from Recolocate import Recolocate4from manim import *5from utils import *6from textClasses import *7class MethodeFaisceaux(Scene): 8 def drawPath(self, points, show=True, wait=None, nDash=0, opacity=1, color=ORANGE):9 lines = []10 for k in range(len(points)-1):11 if nDash == 0:12 lines.append(Line(points[k], points[k+1], color=color))13 else:14 d = distance(points[k].get_center(), points[k+1].get_center())15 lines.append(DashedLine(points[k], points[k+1], color=color, dashed_length=.5*d/nDash))16 lines[-1].set_opacity(opacity)17 if show is True:18 if wait is not None:19 self.play(Create(lines[-1]))20 else:21 self.add(lines[-1])22 return lines23 def makeLines(self, angles, center=[0,0,0], radius=1, numberDash=10, wait=.5, color=ORANGE):24 Lines = [makeLineAtAngle(a, center=center, radius=radius, numberDash=numberDash, color=color) for a in angles]25 if wait is not None:26 if wait == 0:27 self.play(*[GrowFromPoint(line, center) for line in Lines])28 else:29 for line in Lines:30 self.play(GrowFromPoint(line, center))31 self.wait(wait)32 return Lines33 def construct(self):34 # Chapter intro35 titre = SplashScreen(title="4 - Développements futurs", titleScale=.5, titleShift=2*UP)36 self.play(FadeIn(titre))37 self.wait(5)38 # Vitesse des calculs39 subTitle = Text("Vitesse des calculs").scale(.35).shift(1.5*UP)40 titre.add(subTitle)41 self.play(FadeIn(subTitle))42 self.wait(4)43 text1 = TextItem("A cause du problème de généralisation, il est nécessaire de calculer les performances des échantillons un certain nombre de fois").shift(UP)44 text2 = TextItem("Compromis entre la précision souhaitée et la puissance de calcul disponible")45 text3 = TextItem("Solutions envisagées :").shift(DOWN)46 text4 = Group(TextItem("exécution multi-coeurs"),47 TextItem("possibilité de sauvegarder des points de contrôle (checkpoint) des exécutions").shift(.7*DOWN),48 TextItem("calculs en plusieurs passes -> observation de résultats de plus en plus précis").shift(2*.7*DOWN))49 text4.shift(2*DOWN+RIGHT)50 text = Group(text1, text2, text3, text4).scale(.5).shift(7*LEFT)51 for t in text:52 self.play(FadeIn(t))53 if t == text1: self.wait(20)54 elif t == text2: self.wait(10)55 elif t == text3: self.wait(1)56 elif t == text4: self.wait(50)57 self.play(FadeOut(text), titre.animate.shift(UP))58 self.play(FadeOut(subTitle))59 self.wait(2)60 # Méthode des faisceaux61 subTitle2 = Text("Méthode des faisceaux").scale(.35).shift(2.5*UP)62 titre.add(subTitle2)63 self.play(FadeIn(subTitle2))64 self.wait(3)65 # Demonstration66 points = Group(*[Dot(color=BLUE, radius=2*DEFAULT_DOT_RADIUS) for _ in range(7)])67 points[0].shift(5*LEFT + 2*DOWN)68 points[1].shift(4*LEFT + UP)69 points[2].shift(2*LEFT + 2*UP)70 points[3].shift(RIGHT)71 points[4].shift(2*RIGHT + 2*UP)72 points[5].shift(6*RIGHT + UP)73 points[6].shift(5*RIGHT + 2*DOWN)74 points.shift(.5*DOWN).scale(.75)75 path = self.drawPath(points, show=False, nDash=10, color=GREEN, opacity=.5)76 for k in range(len(points)):77 if k > 0:78 self.play(FadeIn(points[k]), Create(path[k-1]))79 else:80 self.play(FadeIn(points[k]))81 lines = self.drawPath(points, wait=1)82 self.wait(5)83 self.play(*[FadeOut(l) for l in lines])84 lines = self.drawPath(points[::2], wait=1)85 self.wait(2)86 self.play(*[FadeOut(l) for l in lines])87 lines = self.drawPath(points[::3], wait=1)88 self.wait(8)89 self.play(*[FadeOut(l) for l in lines])90 removeGroup = VGroup(*points[-3:], *path[-3:])91 self.play(FadeOut(removeGroup))92 self.wait(1)93 points, path = points[:-3], path[:-3]94 stayGroup = VGroup(*points, *path)95 self.play(Recolocate(stayGroup, points[0], points[-1], 3*LEFT+1.5*DOWN, 3*RIGHT+1.5*DOWN))96 self.wait(13)97 d = distance(points[0].get_center(), points[-1].get_center())98 # Vignette99 circle = Circle(d, arc_center=points[0].get_center(), color=RED)100 angles = (0, angleBetween(points[0].get_center(), points[1].get_center()),101 angleBetween(points[0].get_center(), points[2].get_center()))102 lines = self.makeLines(angles, center=points[0].get_center(), radius=d, numberDash=20, wait=None)103 self.play(GrowFromCenter(circle), *[GrowFromPoint(l, points[0].get_center()) for l in lines])104 self.wait(3)105 self.play(ShrinkToCenter(circle), *[l.animate.scale(0.001) for l in lines])106 self.remove(circle, *lines)107 self.wait(10)108 # Faisceaux109 line = Line(points[0].get_center(), points[-1].get_center(), color=ORANGE)110 self.play(Create(line))111 self.wait(1)112 hyperplans = [Line(points[0].get_center()+2*DOWN, points[0].get_center()+2*UP, color=GREEN),113 Line(points[-1].get_center()+2*DOWN, points[-1].get_center()+2*UP, color=GREEN)]114 self.play(*[Create(h) for h in hyperplans])115 self.wait(4)116 sampled1 = sampleLine(hyperplans[0], 6)117 sampled2 = sampleLine(hyperplans[1], 6)118 self.play(*[FadeIn(s) for s in sampled1], *[FadeIn(s) for s in sampled2])119 self.wait(3)120 beam = [DashedLine(sampled1[k].get_center(), sampled2[k].get_center(),121 color=ORANGE, dash_length=.5*d/20) for k in range(len(sampled1))]122 self.play(*[Create(b) for b in beam])123 self.wait(3)124 # Cela revient à concentrer Vignette125 drawGroup = Group(stayGroup, line, *hyperplans, *sampled1, *sampled2, *beam)126 self.play(drawGroup.animate.scale(.75))127 self.play(drawGroup.animate.shift(3*LEFT))128 descr1 = TextItem("Cette méthode revient à concentrer Vignette selon une direction").shift(UP)129 descr2 = TextItem("On obtient un meilleur aperçu de l'environnement rencontré\npar le modèle")130 descr3 = TextItem("Du fait de la concentration des droites, moins de discontinuités pour\nla détection de structures").shift(1.1*DOWN)131 descr = Group(descr1, descr2, descr3).scale(.5).shift(3*LEFT+.25*DOWN)132 for d in descr:133 self.play(FadeIn(d))134 self.wait(3)...
TD11_evidence.py
Source:TD11_evidence.py
1# Hugo BERANGER - M2 MIAGE IA2from __future__ import print_function3from pyds import MassFunction4from itertools import product5print('=== creating mass functions ===')6m1 = MassFunction([({'NW', 'N', 'E', 'SE'}, 0.5), ({'C', 'NE'}, 0.3), ({'W', 'SW', 'S'}, 0.2)]) # Q17print('m_1 =', m1) 8m2 = MassFunction([({'SW'}, 0.5), ({'C', 'S'}, 0.3), ({'E', 'SE'}, 0.2)]) # Q29print('m_2 =', m2)10m3 = MassFunction([({'NW', 'N', 'NE', 'W', 'C', 'E', 'SW', 'S', 'SE'}, 0.9), ({'W'}, 0.1)]) # Q311print('m_3 =', m3)12print('\n=== Dempster\'s combination rule, unnormalized conjunctive combination (exact and approximate) ===')13print('Dempster\'s combination rule for m_1, m_2, and m_3 =', m1.combine_conjunctive(m2, m3)) # Q414combined = m1.combine_conjunctive(m2, m3)15# Il faudrait concentrer les recherches dans les secteurs SE et E puis SW > C > S16print('\n=== pignistic transformation ===')17print('pignistic transformation of combined =', combined.pignistic())18print('pignistic transformation of m_1 =', m1.pignistic())19print('pignistic transformation of m_2 =', m2.pignistic())20print('pignistic transformation of m_3 =', m3.pignistic())21# Q522print('\n=== test erreur estimations masses ===')23m1 = MassFunction([({'NW', 'N', 'E', 'SE'}, 0.45), ({'C', 'NE'}, 0.35), ({'W', 'SW', 'S'}, 0.2)])24print('\n=== Dempster\'s combination rule, unnormalized conjunctive combination (exact and approximate) ===')25print('Dempster\'s combination rule for m_1, m_2, and m_3 =', m1.combine_conjunctive(m2, m3)) # Q426combined = m1.combine_conjunctive(m2, m3)27# Il faudrait concentrer les recherches dans les secteurs C puis SW > S > E > SE28# Une legère erreur dans l'estimation des masses change grandement le résultat29print('\n=== pignistic transformation ===')...
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