Beispiel #1
0
class Tordo():
    def __init__(self):
        self.oswaldin = Elemento(img=)
        self.ayda = Elemento(img=)
        self.kayla = Elemento(img=)
        self.sala1 = Cena(img=)
        self.computador = Elemento(img=)
        self.compcena = Cena(img=)
        self.sala2 = Cena(img=)
        self.cofre = Elemento(img=)

        self.kayla.entra(sala1)
        self.falakayla = Texto (sala1,"Olá, aqui é Kayla, inteligência criada pelo Dr. Oswaldinho. Ele está desaparecido e tem uma gangue de cientistas loucos querendo roubar sua fórmula recém criada, você preisa encontrar antes deles!")
        self.ayda.entra(sala1)
        self.computador.vai = self.compcena.vai
        MENSAGENS = [
                  [ compcena, "Síntese de proteína ?" "Na síntese de proteína ocorre a tradução do código genético e a formação de proteínas"]
                  ]
                  
        
        
        
    
    
        
Beispiel #2
0
def Historia():
    cenaKaneki = Cena(img="https://i.ytimg.com/vi/_-GI_EG7UWM/hqdefault.jpg")
    kaneki = Elemento(img=elemento_kaneki,
                      tit="kaneki preto",
                      style=dict(left=150, top=60, width=60, height=200))
    kaneki.entra(cenaKaneki)
    txtKanrki = Texto(cenaKaneki, "Eleta com fome ")

    kaneki.vai = txtkaneki.vai
    cenakaneki.vai()
Beispiel #3
0
def Historia():
    cenaHouse = Cena(
        img=
        "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBxMSEhUTExMVFRUXF 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"
    )
    incriveis = Elemento(img=elemento_incriveis,
                         tit="Os incriveis",
                         style=dict(left=150, top=60, height=200))
    incriveis.entra(cenaHouse)
    txtincrivel = texto(cenaHouse, "quero lutar!")
    incrivel.vai()
    cenaHouse.vai()
Beispiel #4
0
def Historia():
    cenaHouse = Cena(
        img=
        "https://img.elo7.com.br/product/zoom/10C700C/painel-floresta-g-frete-gratis-painel-impresso.jpg"
    )
    ninja = Elemento(img=elemento_ninja,
                     tit="ninja preto",
                     style=dict(left=150, top=60, width=60, height=200))
    ninja.entra(cenaHouse)
    txtNinja = Texto(
        cenaHouse,
        "The summer passed and Tom decided to seek the hidden treasure. They went to an abandoned and latent mansion to escape Injun Joe talking about the treasure. When he left he would take revenge. Tom was worried but the logo was erased for Amy on the way."
    )
    ninja.vai = txtNinja.vai
    cenaHouse.vai()
Beispiel #5
0
 def __init__(self):
     ana_maria = Elemento(img=ANA_MARIA)
     dr_zuckman = Elemento(img=DR_ZUCKMAN)
     cofre = Elemento(img=COFRE)
     laboratorio = Cena(img=LABORATORIO)
     hospital = Cena(img=HOSPITAL)
     biblioteca = Cena(img=BIBLIOTECA)
     labinformatica = Cena(img=LAB_INFORMATICA)
     hehe = LABIRINTO(norte=SALA1, leste=SALA2, oeste=SALA3, sul=SALA4)
     ana_maria.entra(hehe.norte)
     dr_zuckman.entra(hehe.norte)
     hehe.norte.vai()
Beispiel #6
0
class OVO():
    homen = Elemento(img=HOMEM)
    casa = Cena(img=CASA)
    ajudante = Elemento(img=AJUDANTE)
    ladrao = Elemento(img=LADRAO)
    cientista = Elemento(img=CIENTISTA)
    biblioteca = Cena(img=BIBLIOTECA)
    porta = Cena(img=PORTA)
    livro = Elemento(img=LIVRO)
    portinha = Cena(img=PORTA2)
    tunel = Cena(img=TUNEL)
    mapinha = Elemento(img=MAPA)
    homem.entra(casa)
    livro.entra(biblioteca)
    casa.vai()
    biblioteca.vai()

    OVO()
Beispiel #7
0
def Historia():
Ilha=Cena(img=
zumbi9=Elemento(img=ZUMBI,tit="ZUMBI",style=dict(left=150,top=60,widt=60
zumbi9.entra(ilha)
Ilha.vai()
Historia()
Beispiel #8
0
# Manuela Pinheiro
from _spy.vittolino.main import cena, Elemento, Texto
elemento_minnie ="https://upload.wikimedia.org/wikipedia/en/thumb/6/67/Minnie_Mouse.png/220px-Minnie_Mouse.png"

def Historia():
	cena House = Cena(img = "https://pngimage.net/wp-content/uploads/2018/05/cen%C3%A1rio-png.png")
    minnie = Elemento(img = elemento_gato,
                     tit ='Gato Laranja',
                     style = dict ( let=150,top=60,width 60, heigh=200))
	minnie,entra(cenaHouse)
    minnie = texto(cenaHouse)