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Python Tableau.iterC方法代码示例

本文整理汇总了Python中tableau.Tableau.iterC方法的典型用法代码示例。如果您正苦于以下问题:Python Tableau.iterC方法的具体用法?Python Tableau.iterC怎么用?Python Tableau.iterC使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在tableau.Tableau的用法示例。


在下文中一共展示了Tableau.iterC方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

# 需要导入模块: from tableau import Tableau [as 别名]
# 或者: from tableau.Tableau import iterC [as 别名]
class Seed:

    def __init__(self,largeur,hauteur,noeud = {"type" : "plaque"},minValue = 0,maxValue = 255, value = 0):
        self.function = {"rand" : self.rand, "degrade" : self.degrade, "plaque" : self.plaque}
        self.maxValue = maxValue
        self.minValue = minValue
        self.X = largeur
        self.Y = hauteur
        self.tab = Tableau(self.X,self.Y)
        if "args" in noeud:
            self.function[noeud["type"]](noeud["args"])
        else :
            self.function[noeud["type"]]()

    def degrade(self,args = {"direction":"Y","evolution":"increase"}):
        if args["direction"] == "Y":
            c = self.Y
            current = lambda x,y : y
        else:
            c =  self.X 
            current = lambda x,y : x - self.ligne(y) 
        if args["evolution"] == "increase":
            fun = lambda x,y : self.maxValue * current(x,y) // c
        elif args["evolution"] == "decrease":
            fun = lambda x,y : self.maxValue * (c - (1 + current(x,y))) // c
        elif args["evolution"] == "center":
            fun = lambda x,y : min(self.maxValue * current(x,y) // c,self.maxValue * (c - (1 + current(x,y))) //c) * 2
        elif args["evolution"] == "border":
            fun = lambda x,y : max(self.maxValue * current(x,y) // c,self.maxValue * (c - (1 + current(x,y))) //c) - ( self.maxValue // 2) * 2
        for(x,y) in self.tab.iterC():
            self.tab[x,y] = Case(x,y)
            self.tab[x,y].value = fun(x,y) 

    def rand(self,args = {}):
        for(x,y) in self.tab.iterC():
            self.tab[x,y] = Case(x,y)
            self.tab[x,y].value = randint(self.minValue,self.maxValue) 

    def plaque(self,args = {"nombre" : 5, "plaques" : 8}):
        for x,y in self.tab.iterC():
            self.tab[x,y] = Case(x,y)
            self.tab[x,y].value = 0
        liste = [ elt for elt in self.tab.iterB(1) ]
        nombre = args["nombre"]
        plaque = args["plaques"]
        plaques = GenRegionPasse(self.tab,None,plaque,5)
        plaques.finalisation()
        liste_plaque = [ (elt.interieur,elt.frontiere) for elt in plaques.regions]
        for i in range(nombre):
            li,lf = liste_plaque[randrange(len(liste_plaque))]
            liste_plaque.remove((li,lf))
            for elt in [ (elt.u,elt.v)  for elt in li if (elt.u,elt.v) in liste]:
                #self.tab[elt].value = randint((self.minValue + self.maxValue)  * 3 // 4 , self.maxValue )
                self.tab[elt].value = int(((plaques.iteration - self.tab[elt].nb + 1) / plaques.iteration)* self.maxValue)
开发者ID:Bm0c,项目名称:MapGenerator,代码行数:56,代码来源:seed.py

示例2: GenRegionVoronoi

# 需要导入模块: from tableau import Tableau [as 别名]
# 或者: from tableau.Tableau import iterC [as 别名]
class GenRegionVoronoi(GenRegion):
    def __init__(self, largeur, hauteur, nb=10):
        GenRegion.__init__(self, nb)
        self.tab = Tableau(largeur, hauteur)
        for x, y in self.tab.iterC():
            self.tab[x, y] = Case(x, y)
            self.tab[x, y].value = -1
        self.init = []
        self.liste = [elt for elt in self.tab.iterB()]
        for i in range(nb):
            case = self.tab[self.liste[randrange(len(self.liste))]]
            case.value = i
            self.init.append(case)
            self.regions.append(Region(nb, interieur=[case]))
        for case in self.tab.values():
            distance = self.tab.X * self.tab.Y
            id = -1
            for init in self.init:
                if case.Distance(init) < distance:
                    distance = case.Distance(init)
                    id = init.value
            case.value = id
            voisins = [
                self.tab[elt]
                for elt in case.Voisins()
                if elt in self.tab and self.tab[elt].value != -1 and self.tab[elt].value != id
            ]
            if len(voisins):
                self.regions[id].addFro(case)
                for elt in voisins:
                    if elt in self.regions[id].interieur:
                        self.regions[id].interieur.remove(elt)
                        self.regions[id].addFro(elt)
                    else:
                        self.regions[id].addInt(case)
开发者ID:Bm0c,项目名称:MapGenerator,代码行数:37,代码来源:genRegion.py

示例3: __init__

# 需要导入模块: from tableau import Tableau [as 别名]
# 或者: from tableau.Tableau import iterC [as 别名]
class MapGen:
    def __init__(self, largeur, hauteur, modele):  # X,Y,Liste_Coeff
        self.X = largeur
        self.Y = hauteur
        self.MAXVALUE = 256
        self.tab = Tableau(self.X, self.Y)
        self.modele = Modele("patron.xml")
        self.seed = [(key, Seed(self.X, self.Y, elt["seed"])) for key, elt in self.modele.racine["couche"].items()]
        for x, y in self.tab.iterC():
            self.tab[x, y] = Case(x, y)
            for key, s in self.seed:
                self.tab[x, y].biome.set(key, s.tab[x, y].value)

    def cycle(self, duree):
        for i in range(duree):
            self.Division()
            self.Egalisation()
        self.Finalisation()

    def Division(self, mod=2):
        aux = Tableau(self.tab.X * 2, self.tab.Y * 2)
        for y in range(self.Y):
            init = self.tab.ligne(y)
            offset = 0
            if init * 2 > y:
                offset = 1
            for x in range(init, self.X + init):
                for y2 in range(mod):
                    init2 = self.tab.ligne(y2)
                    for x2 in range(init2, mod + init2):
                        aux[(x) * mod + x2 - offset, y * mod + y2] = Case((x) * mod + x2 - offset, y * mod + y2)
                        aux[(x) * mod + x2 - offset, y * mod + y2].biome.copy(self.tab[x, y].biome)
        self.tab = aux
        self.Y *= 2
        self.X *= 2

    def Egalisation(self):
        self.aux = Tableau(self.tab.X, self.tab.Y)
        self.tab.iter(self._egalisation)
        self.tab = self.aux

    def _egalisation(self, x, y):
        biome = self.Moyenne(x, y)
        self.aux[x, y] = Case(x, y)
        self.aux[x, y].biome = biome

    def Moyenne(self, x, y):
        aux = []
        biome = Biome()
        compteur = 0
        for elt in self.modele.hierarchie:
            biome.set(elt, 0)
        for elt in self.tab[x, y].Voisins():
            if elt in self.tab:
                for elt1 in self.modele.hierarchie:
                    biome.add(elt1, self.tab[elt].biome.dict[elt1])
                aux.append(elt)
                compteur = compteur + 1
        x1, y1 = aux[randrange(len(aux))]
        for elt in biome.dict.keys():
            div = 0
            biome.div(elt, compteur)
            biome.mult(elt, self.modele.argsRand[elt]["moyenne"])
            div += self.modele.argsRand[elt]["moyenne"]
            biome.add(elt, self.tab[x, y].biome.dict[elt] * self.modele.argsRand[elt]["centre"])
            div += self.modele.argsRand[elt]["centre"]
            biome.add(elt, self.tab[x1, y1].biome.dict[elt] * self.modele.argsRand[elt]["rand"])
            div += self.modele.argsRand[elt]["rand"]
            biome.div(elt, div)
        return biome

    def Finalisation(self):
        aux = {}
        self.niveaux = {}
        for i in range(self.MAXVALUE):
            for elt in self.modele.hierarchie:
                aux[elt, i] = 0
        for case in self.tab.values():
            for elt in self.modele.hierarchie:
                aux[elt, case.biome.dict[elt]] += 1
        for elt in self.modele.hierarchie:
            self.niveaux[elt] = []
            i = 0
            buffer_ = 1
            for valeur in self.modele.pourcents[elt]:
                valeur = float(valeur)
                while i < self.MAXVALUE and buffer_ * 100 / (self.X * self.Y) <= valeur:
                    buffer_ += aux[elt, i]
                    i += 1
                self.niveaux[elt].append(i)
        for case in self.tab.values():
            for elt in self.modele.hierarchie:
                i = 0
                while i < len(self.niveaux[elt]) and case.biome.dict[elt] > self.niveaux[elt][i]:
                    i += 1
                case.biome.dict[elt] = i
            self.modele.determine(case.biome)

    def getSurface(self):
        w = sf.RenderTexture(hexagone.l * self.X + hexagone.l // 2, (hexagone.L * 1.5) * (self.Y // 2 + 1))
#.........这里部分代码省略.........
开发者ID:Bm0c,项目名称:MapGenerator,代码行数:103,代码来源:genMap.py


注:本文中的tableau.Tableau.iterC方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。