def gruta(_=0):
"""Você tem um 'def' (função) para cada cena, esta aqui faz a cena da gruta"""
global cenaIlha
cena_gruta = Cena(img=linkGruta1)
rat1 = Elemento(img=linkRat1, tit="Rat godess", y=300, x=170, h=400, w=400)
rat1.entra(cena_gruta)
txtrat1 = Texto(
cena_gruta,
"afie minha espada mas por um porem prove sue valor completando ésa missão."
)
rat1.vai = txtrat1.vai
ark2 = Elemento(img=linkArk2, tit="Ark", y=350, x=830, h=100, w=100)
ark2.entra(cena_gruta)
ark2.vai = cenaIlha.vai
cenaIlha = Cena(img="https://i.imgur.com/5UvVC5M.png")
cenaIlha.meio = cena_gruta
okami1 = Elemento(img=linkOkami1, tit="Okami", y=400, x=170, h=200, w=200)
okami1.entra(cena_gruta)
cena_gruta.vai()
def jogo():
INVENTARIO.inicia()
invent = Elemento(img=linkInventario, tit="Inventário", h=200, w=200)
INVENTARIO.bota(invent)
mapa = Elemento(img=linkMapa, tit="Mapa", h=200, w=200)
INVENTARIO.bota(mapa)
quests = Elemento(img=linkQuests, tit="Quests", h=150, w=150)
INVENTARIO.bota(quests)
espada = Elemento(img=linkEspadaicone, tit="espada", h=200, w=200)
INVENTARIO.bota(mapa)
cenaIlha = Cena(img="https://i.imgur.com/5UvVC5M.png")
cena_gruta = Cena(img=linkGruta1)
cena_blockhead = Cena(img=linkCenablockhead)
cenaIlha.meio = cena_gruta
okami1 = Elemento(img=linkOkami1, tit="Okami", y=400, x=170, h=200, w=200)
okami1.entra(cenaIlha)
waka1 = Elemento(img=linkWaka1, tit="Waka", y=340, x=305, h=250, w=200)
waka1.entra(cenaIlha)
txtwaka1 = Texto(cenaIlha, "Vamos para a ilha das deusas.")
waka1.vai = txtwaka1.vai
ark1 = Elemento(img=linkArk1, tit="Ark", y=400, x=40, h=200, w=500)
ark1.entra(cenaIlha)
rat1 = Elemento(img=linkRat1, tit="Rat godess", y=150, x=420, h=400, w=400)
rat1.entra(cena_gruta)
txtrat1 = Texto(
cena_gruta,
"afie minha espada mas por um porem prove sue valor completando ésa missão."
)
rat1.vai = txtrat1.vai
ark2 = Elemento(img=linkArk2, tit="Ark", y=350, x=830, h=100, w=100)
ark2.entra(cena_gruta)
ark2.vai = cenaIlha.vai
okami1 = Elemento(img=linkOkami1, tit="Okami", y=400, x=170, h=200, w=200)
okami1.entra(cena_gruta)
waka1 = Elemento(img=linkWaka1, tit="Waka", y=340, x=890, h=250, w=200)
waka1.entra(cena_gruta)
txtwaka1 = Texto(cena_gruta, "Vamos fazer a missão.")
waka1.vai = txtwaka1.vai
espada1 = Elemento(img=linkEspada1,
tit="espada",
y=340,
x=450,
h=200,
w=200)
espada1.entra(cena_gruta)
espada1.vai = cena_blockhead.vai
return1 = Elemento(img=linkReturn1, tit="Return", y=50, x=50, h=100, w=100)
return1.entra(cena_blockhead)
return1.vai = cena_gruta.vai
secretroom = Elemento(img=linksecretroom,
tit="ester egg",
y=350,
x=830,
h=100,
w=100)
secretroom.entra(cena_gruta)
secretroom.vai = cenaIlha.vai
cena_gruta.vai()
from _spy.vitollino.main import Cena, STYLE
STYLE["width"] = 300 # width = 300 (default)
STYLE["heigth"] = "300px" # min-height = "300px"
floresta = "https://www.oeco.org.br/wp-content/uploads/2019/08/floresta-Kjell-Eson.jpg"
floresta_verde = Cena(floresta)
#floresta_verde.vai()
IMAGEM_QUALQUER = 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dI7NoZmZAWCqAY11mPwNcvycnGEpepI3YO1/g8lfQqqsYBbnvDD8qvcM464tWbHVoAhVw+uY6uII25ms1sZdm1LntZs0gHYr3jxre4RhHdlIs23tEsC5gOIbQaRpqPc1KtUzQ3Wwv4oLDYGy9wDMOpdpicgIziTyhvTWoeKYixdsWhbUABgDAH3nt79533pdOOGj6hbYQMmS2NwQrMVga6jQeOlVm4L1OEtK33mWdeZe0D5Vuly419UcuLfyX+yLHYG1bVwjEsty6pnaJYjz0j3rDN+0/wBVCMC6pfDiO0CWkAmNdiRvoa2L+DdfrDNsHdATzKgkse8md6w72GWzi1tqDqockkkgvazEd33jXPknu/Rv8dvgr9ksV2lFdrNbNth2emWKgGLBBEgqcwI81c91D/SzG3sWbTEgBQ0BV5tlmZ3+EU7o/j7DItq2JhQT2SI5ayP/AHWkbag6aTVE804ypghCK2kCC8Pux94/6a43Dbvc37NG9rDuQcqs0bwCY9qguWmBGYFQTEkGPnRWWb+iz5H7BA8Judz/ALNRjhN48n9q9OxHRm6qFust5QJklhp7VUs8CuG2bouWjbAJJBadOUFRr4Grv5V9CfOvZ57/AMIxA0Af92pDwTEdzepSvS8JwC1etqVe4rxuy9hp2j8N6zeOYZMKqm7eUBjlmDI8SKZrJ3Qqz39gvwPgrpcD3BoASNQYbkYHrRFbatWxwq0bDXEvi5ClgFEaDU767T3Vn4uzbSy95bhYJBdcsMqEwXidQJExVc8c299g+RPZQLamqxbU1oYAWGIZ2Yg6wANfCc01dujBAyLFyPG4du+J1NFePMDyoHFbU1JY51qcZw6rdVcOEUMkkMuYHXcE6qYjnVQYS9pBtDyWf4iarnGMXxclY0XKStIt4HD5gK3cNgrSxnGY0JY1cTBi/lmB2Aq7kDkBA1rR6R9JreEdLQthyUzTIzQDlk+cUi8fnuLQsnK6JulWOFm0XtMFhlEMzBSDpGaQF8zVDohxy5irhkgELDBXZvgIWfiOUGRB5wdaHOO9Imxdm7bS2Vi2zsZEBV30C+X86b0XxlnBFbyX5zDtJEZiAd55AnatmKChH8iuUWz2TDglPfu7++sjpnYDYLEA/wDTJ37iK0uDYjrLCuRlzAn0J0+XLlXmfT7pQjOLbLeDMIAt33RTrAEKY5jeu5i3Gzk5P7cTQ6A2f7JaaIzuW79CMoPrln1rn0jXGtsGRipZbYMcwHbcep96yuhmExNu8GLWxaJGZbmKDlR3qsmDrRJ0m+qXruV363QaIWGWDIB0E661zcyqEv27N+Bfkr9HnXCMOty/bVp6vNeOgG6jMqyR2ZiKL+jOJS3ce2VRLWUvLfcOZREnQDUfKtXhXFreDtm3hwqIWLHYkkiDqT4VPwrpMWuuHuA5soUEjeW0HyNLjzQrjQ+XFJvlZm4/ixxWDVBah1xVk5VbOTbS5ma7ooAUTtWp0gKtbtqrSQ6kjX/q2yNx4VfxOLZu+s1oJAgM0gwzQNDP5fKtPz8tGf4eLspdJDasYOXZiTfuB4UaC811pEtrGaN9d4FUf+GYS/iFxBxToGRVVRbkMy2wgObNpoD2Y9dKk6Q3DirF9MjF0uMSFC7jtJlEyxIYfPehrgeCxIuZLWHxFy2D2m6plIlO0m8DUx7aVnnbL4Ugw/5Uwn/c3f2F/lSoO/4Rif0MT7n/AMqVUcX6RouPss9EC+RiFCrMmdWJOyz/AIR+NbV6/Vbh+Nw1pVtpcNw9yrqSd9Nda0bXDjcMm06LOpZtY7wiiaz5PHlOV0NHJFIJehXFFUPPOD6idPwqx1pu3XYmUbRlOzRpMHYcpoXuIbKTh2LMNQrHsNzIEmA0TvBo0wOAfcFCDBEMfPUEae9asUXFKP0Z8jVtmH06411OHW2vxHaf8ERPfrB9K856O9M8RaLIzZp1k6ZhoYOm/cfSjX6R+D4h0V0tO2UwcoDaEatCmd49q8he2VeR3x7fMeRp3H8m2W42uFI974XxWEVnUqG1CkQY3kciPGhv6TbAuWkxKnaEbMDornRwOYnT2pv0W8WZ7T23ghGhSxzGDqFM6Aa6R3baUZcXw9u/ba0wjOImSYnQHXamS0UPUjx/o3jWsrct2jklGAI2zMpAJnnrU3RnjFxwbdy5JEoQx1G6sDprzGtYeGV0uQRLIxVtfvI0P8xU/EsO9rELfAypejNrI6wCDt3wDO0zVeXGpKvsuxTp/oIMOxsMbZHZAlSNyDA27xt6eIrt3pFZUwxIPMFWny1FZ3HsQUwpuFgSIg66BiBvzMwaccfZe1Zu3SO0skwPaJqYXyjbK/IvHKkW7HSWzcu21DHTMoJUheWUEnUbUQrip2Nef20TEOww9q45n/8AGuaPEhZjai3h/RbijKD1MDb7RwjQOeQgxVHkeK5vlEt8byFVTLONfs/FrmQD1YDahLpzey45g2kW7QjXaCee25oy/wCU8aYW5ltiQc/WKwWCDqoIJ25Vd410VwGIfrcS5e7lVSUd1HZGmg9d9afxsThFqQc2ROScdnnHBWAYjqrbh9DnXNoBy1GXflW0VsAQ2FtQNRla8pB01X7QgbCiCxwvhtgHJadj/iuN8td6yuK3LR0trlM7ZidPWr7aeiqVP6CkcS4gyAq+FsoVBWLRd8pGk5jExXlPSTEvdxKB8pKXcuYKFntL91QBGnzr0x74S1aFzNLWkK5QNViIPiDptqIPfXnvSawq4lWgqGe20MQTLBBrG0kGNBXSlXxqu/8Aw58bU2voJeHHK4NZfSG8UfMRMabcuUe9atlQDOvvWjjXw91ZuYS1cygt94GY7wa5aezogE+NVhvHp/tVjhGLAvI0zr3GduVG1nAcPIE8Ptbd7/matWuG8M/7FBHMFv501xE2TYDGhlH51UbEjrmO8BRp5f71r3b+BRJXDqI7gFj1FCr4lLl85UyjQyGaRIGnjUS9Ev2ZnGcT1jtbbiaqquWFliIR9RoNO8+9VLeKvNdTLxIM0qgh2XcxlCDffuqnawiYvE3LdrDHrW7RY4iF7QzFjKaATtRd0b+i827iXrmNtZ0OYIqllzQYliRpOug5VZQlh11A/SHsf50qH/8Ak7Gf9/b/AH/50qFMNohw1y5CzAj4oUAN5psKe50iSI2IOo8jVC1ip51Iblcxzm3bZ0PjilRVu4gsHzgZhpcUffX7t1Y2bka3Oj/FmKBcrJk0Ekyw5Gef+woT43iLtt1dF2X4onQmII+frU+BxbW2V79+T+j4HwGgHjFbIu1ZllH6N/inGbweM5ivPuOcML4h2VbpLkP2VzKS0ToFJJmdBNFPErgNw61q9H+kjWEZIkCCNdi0z/CKMXvYFrow+gnR/idjEdd1EWWUK6sQjtBOVkRo1EnRsu58K9PW0w7WSfDXNpyE6fOhW90xc/DlHpNZ1/pLdbdz+H4U7mhHFt2MP0Ztnu3WxYDXbjvBTsqGYmJzSYmrK9BsEchxd43WtghQhyKASDsJJPjNY1/jRO76+c/KoTjbjbK/qMo/eipzCoBlw/C8PwzTbDtoQAzBhrHeN9KsHjmGU5lw9oN+lkWfcCaBCbp3Kr5ksfYD86QtHncY+QC/jNKp0FxvsNr/AEvyglQi89ABr41SxvTI7G4o8AdfQChc4K2Rqmb9clvkdPlTwFQaBVHovzqfIycEXsRxx32V289B+8RVO5ibrc1X3Y/KB86pXOK2hs2b9UFh6sNB71XwfELmIYph0Ukbl7igDzM5R5ZpoK2HSLly2T8TsfAQB8tfnVZkRTMAeJOuvKSaI7H0fY+6pNzFWremgRSw9SsEejGm2vovxGue8t3QiElQZBH39QfWrFBrbE5xDDo8La2rcWO3kXM2XWYEkkjSoLK2vruJe49sLdtWFUFlJLIGDDnG4+dXeHcICoqXyzN8IVnIACjs5QDroKzuPYG1Ztl0zgkqIBDAkz+l71u24qjFcVJ2wE4XhblzGHCOi2TlZ85ullyLqNQIJ1A7pmqX0i8PxGENqLge02acpMZtIz6DQid9NDRJawq3D/dqW7QE22mDqIdDG3hyqpxzoJj71tSiK2p7LXCmhU6yI8NDWWKV7RolJtdgr0Z46Va4L91EUwUBECZM5Y0FFFjiltvhvWW8rgobH0bY8hs1h1IiMrI8mN+yTp7VlYjoRixM2m9VNJkhBu7Hg5VoL+kGPyoFMDNzLCPSJJrFXi62D20uFiAQCCkiIUwdY0rKfgt8MpVHtleYBBmdwR+VTPw667S5uM8RmYO557nX+jUhKMV3seUZPVaN/hvVJjc9qFRsLZ3gEXMq5+fMqx9aIxiO40Hpcawmc37TXhbRQuUysTuBAJGYzPdVc9J7i/3luy3kpX8zSz/KVokFxjsOvrB76VAP/Oif9uv7R/8AGu0OEyc4HonCOH2g0uSw5A/mRv8AKiReGYdx/dqP1dPwrzU8U6sSWgDvNRYTpliQ020lRGjmJBPIAT86SEV6GlJt9noWP6KrcUhHgHk2vzFCl7oni7PVE2hdCkqShDDLupKmDp5UV9HukqYi0Lg7J2ZSdVYfEp/HyrXtcVR56t1beYPdVnCKEc5Ps8/4U2HvA/WGupdkg5EGQe4mfCoOJcAxEzYdLiRqVktoTBNuQw3PfRvx3g6YpJ0F0DRtp/wt3jx5UE2bz22KxlymCNAQR/XnSNUMnZkjDnZrjSNwFC/jJqVbCc1n9ZiflMURC8Lg+1GfxIlh/qqrjeChh/Z7yI3IXJK/IyPn6UKsNmcrZdFAUeAA/CuXb4GrMAO8mKyuKcI4hbaLiXCP0kKLa/bEt+dUrXB2Jl2RT3gG437dz8hR4pdsKt9GuOLWvukvH6ALfPaql3pBrlVRPcTnb9i2GPzFPXhVmJfPcPc7afsiB8quWCiiLShfCIHqI1pbiv2PwbKdt8Xd2DKDzOW2Pnmf5Cp16OXH/vLwn/CuZh5NcJj2FaAZvvLHr+W9WEbuJPltSvI/pB4JGc/R60roDLntH7Q9ZtljstI58gKvXcTeQwvVBRAACZAI7omKTsxZfANH7vOrVlgxymPGdQPPup4ylRTKKsoXOkZsEl7nVTqsAgnwzo0gTzK86kxv0l3bap2ywcsezcJIUHQE/GGg8yJip+P9H8NctBpV3U7ISDBB2gyfagrieEs2MEoOZLl1mIGpGRL0D9XsgDXeavjJ9fZRKP3ej0jo9cuXwuItoWYzrcaAJ0JiJbQndlq7xzC3GRVuX27TAZUhVGokggSNJ2OnfVLozx5nwwuNfXIAIDm2CgACgMVjugTvWZjOm2HfEW1UNcAVtbY0kgjTORmidhPma6MNRVmKdthFgLCDsW7htmF5q0yo01XMdOWar643F2yEDJcUqdCCo0IER2+RNCdrH2UuDM+VxkzBoAWLaDVttwedQ8XulnDWrgYgAMUYgLrMF/h28ZFZG9tl8VpBna4zcQEfVEY6/AEAJ7jlOb930qDFcdxF3Mtm0cgJUatbAKmGDFgHYgjZQBpqaocAa5iBkvXCQBORSUBB73jM/uo8DWtwOwBaICkAXL4AAkAC84A02ipdrQaaewfe3dzA3WY68hlXY/dG/qTUWKfQhdNDr/tRdiMPma1Gv2i+nZaoeP43C4WBfh7jA5bKwXPiR91ddz/tWafj3tmjHlrSQAY3hVt9Co89jWNieiqN6ese8Vv4nHG6xYqludltxlA8zqT3mKqtfYb6+on2MVlTcXpnQ7W0YH/Jq9/yH/nSra64fon2X+dKn+SfsX44ejB4uCbuUyAsHzMDX5/Om29/aiTFdD7rnLYBJAgEnYcgWbl3TVvh30dXJnFYhFHNLcs3q+g9qujTWjI2DfCcayu4QxmdWP8ApAHzijrC8Tdt4HkANawOmvAbODyYiwWyswS4piMxBKuI2mCCNto507hmNVgDNCVhWw8wGIPcfWoOkHClur1qD7VddPvAD4fPu9qpYDEzArcsPp/X9TTJ2qFemeetxJAmYySZiPl5GqmB462fKydidJgxyE9/rS6bYH6viS0Ravksp5C4B208J+IeZ7qwmuMdAAJ56/IUnGhk7R6HwbjeVRqSukg7R/hJ2PhtW3iuBYbEjNkHaEhk7JPmBofUV5d9eZAFjmuU95kQPeK9E6J8RJPVt94E6bBhqSPMUyp9gdraM3GdBrg1tXQw7mBU+4JB+VYuL4TdslesRlOZdToDryYGD716ugpzWwRBEjuOoqfCr0H55VTPOcDhLjiFQkd5Gg/1H+dcxVyxbPaPWN+jaPPuNzb2zVtdMsJfMZATZgSqaQRM5xuV2jkKEOr7ojwqtpRZZDY65iC50AQdw1Ovex1NOsWuY95pCAIApKDzgd/f/IUqdj0XQ5iCxI7iZHtTMbZW6oDQBr91CCDyZXUhtu6mWtdh6mtLhnDWuwyAFdRnJ7MjQwdzr3VfDspmlWwMxnRK27ALbVSTGe2QgEnQtZuNljvKsPKtLov0J6q71hvLcftqV6shRpvOeTp3DT50YWOHPbZVu2DcZs2TI69UQu5ZjDCARMrz2NaqcDzx1zgbxatdi2Adw33rnjJg91bI+2YpuN1EBbi27edRCkwJtsVAIUZjmkrObNoATrtUOEw5WFzkkAqoIMTJghl/kPSvRLnRu0dMqgAQIGwiNIilw3o3bKzEyzfJyB+AqmUWxoNRMXo3wa8vbKFZ0+LX+vfeijgOCKWma40APeJzaADrnMknwM0zifFcLgAFYl7p+CymrnxPJR4mBQdxfieIxZ+2KZAZFpCSg00L6/aNvqRA5DnSynHEt9lkccsrv6NrjHSvOCmC0Gv9pK5vPqbf3v1zp+tQmMKZY5w7MSWLntse8lwT/LlVidImO8akeWsR7U46aQCPP8qw5M0ps248UYLRQu2O8R8vz/Kql5Y0BJ+f9e1aeh2JH4e20VwYefuyO/lVfItszcjfpfKlWr9U8BSo8gWFty6U0Gk03rKWNG1Qg1rMZk9NsCb+BvovxBesX9a0c/zAI9a8m6P8eCkK+nntXuSHXWvCOJ9HzZv3rRMLbcqCeY3WBz7JWrY01TElado9P4ZjQwBBFE3D8TIHL8a8S4biruGOZGJUbqdRHlyr07g3EA6hlOhH9CqnHiyxO0bvSLhK4uw9k/eEqf0WGqsPKvGrOIa2z2rki4jFWEHNKmJAjY8q9rweKFAnTDom2NxwuYcEdhRcf4VzAmO1zOUrMTyp409MR2uga4fcklmGp0Gbl5Dl5nXyok4NxTqrqOTounhBOvy0q5b+je8AP7UJ8Un5yKsYX6OL09rEL4Qh/AmhWxrR6RZYEAjUEAjyOorrtUfDsKbdtELZiqquY84ET8qsNbqwrMPjXFup0UdsiQSNB4+Ned8YxgktuxO4018eR9a9U4hwxLy5XEjkRuPI0E8W6E3iSbZDjzAb2OhquSseLoCDxy4DqoYex+VW8Dx5Mw662wX/APWRI8g2nvWg/RC+vxWXPiB/ImmWeh95j/dXD4QR8zFRJehnJ+ybpljMDd4ddGFYm6Tb7Lz1pHWLngbERM5eVEP0b4cnh2HlTEXOXdcaucJ+j46G6wQdyQW/a2/GjThvC0sLlt5o7ixO/ODp7VcmuiiS/ZTt4Ares8pF75C3WtcQVy5aYuj6dgXB+3l9vh+dZ3SLjBwlvOti7iLh2CqcoPezRCjxq7kqKVGTZduMltDcuutu2oks5CiPX86DeK9ODcDWsCDat6zeZe207m2h2Gp7badwNC3FsZiMW3W4i5nAMrbEi0kHTsEhmYfpEHyFc66BsJ7jr8vzK+tYsnkfUTfi8ZLcySyVlmGrMZZiSWY95bc/KrBufpEEeh/n+NZ9y+N8vzOntNc+tKQOR79/w2rG7fZrpF4v/wC/60p1uds3yn8NapK3cffWpUunmAPL+RoURmglsbkT5H8qky2x8OnpFUWxGxAPoanXE/1FFIR2WOz+n/XtSqLrh+j8v9qVGhdhTizoKqqac2IDJUAetJmLCmvP/pLwcX7V7k6Zf9aaD1ylfajwNWZ0n4McZYFtWCsHVgTqANVaRz0J9qZPYGjypLbHsqpYtoABMk93OjDo90K4hb1FwIDrlcyBPhv7Ua9GejOHwgGRc1yNbjfEfLko8BRLbt072AF8PwLFAQbtoaalVafSTWzwXhRspkmZJYk8yd610t1OqUEkBsr27MVYtpT8tOWmAcCUslTBaeFopAbK4t13qasBadko0Cyv1NdFoVNFOCUeIORX6unKlT5K5lo0DkQlaY1Suao4zFhRvQYyMPpLwKzeUnS3c3DACCeWdfvD2PjXlf1gnRoMaRzB9a9D4rxMsYBrzTE6u5jQs236xrLlSvRswN9Mn60HTbz/ACNLIP6/nVVNTvUokcqpo0WP1HP+vzqdLneKitv4VIQOVGhWyRcRH3T/AF61assCNPnVOy0nX08vCp7d6OQqUKyxJ/SPuf50qg66lRF2E2G+CpRSpVZHooJhU2H3pUqZEZp4StG3SpU6K2WEqYUqVFAO08UqVMQkFPFdpUyEYhTqVKihTortKlTCsVNalSqAXZWxG1DXGOdKlSSLogne+L1oMPxHzP41ylWSfZtwnefvT7O9KlVf2WstNyqHnSpUQD8NVi5vSpUWKKlSpUCH/9k=" # Extensões aceitas: png, jpg, jpeg e gif
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" # Extensões aceitas: png, jpg, jpeg e gif
IMAGEM_DIREITA = 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ys7xtLvo680wvCzLqyfx3HYPktxVW4yM9odHjFhNug0BzhqLjYDsBWmNtZ5Ya7C9MYSVyBSA4a1oYe4mAL4kY7XMHUxTw9x9HbaDEnI26c5T1SkVVxtTjnJWc0ks0tMoroTyx945iMHDUo2lY10w9qK1ZWr4VnnM4pw1tOCFtUoU7PTcUOmsiNmwzGIxB1jBdEhgrG0eM5jtJpIOrtzWmq2tmxeC6TX9DtmR1KvVvtPp10sb2Mk8MU+9rhDVJ28BqM/WWfi/23LaNWLqQfWmfi/23rahY8Pxbc/yPAXLgUpK2Yo3BUqSFce5VaREk0kj5nAJCM9WEOI4+TbMC8yJE+Qi7tUH0aPi08gd2olvpa22E0yx4QJM5k86aaYeIzncua229OqTUV4NDjjAcod2Jz4MXEDmid6uw48/3bOdyWJH9RnvOT/waCorInhsRVRBiFwAAMzk8dZRWI48VvvO71DRn+VZwW+eLnOzVyfSaZDq2MLSwjkKR0NwvEuQrUw3gh1mWO3NCqQ7UFr6HPcw+iT3xmldptnfdpCfQvXKHWtnDaT6zRP3mi7Ody8oeTkOda6pK2bFaGu4MQC7PMtPgpy2FZL23cCmwnea9p5VI6Owem3nCycU6V50gLg4NcPzAnpVGk+zB/0u54VzkTeJoq8hQozPtGB7bWnSHK06j0LICwyKq0lgxZBP8kdrkkCIBISa0YBrQ0cwSz/LyrD8fAixTNUUMKdgWOmxwCka1I0KRoSArV1blsmxJkcbEbcwtJBcHCYIIOKxElPCjOaJNcQMgSOpOZaKyPLNzzZ0lm13wOW33orI7nG/WGbXfAVvISOKag5r5Vm0cyuTX0Z2RRMPT2x3C4yWrHYJEgOHonmKCVs82N4QxmITng6jZIYXreNpkXB5GxWqNRoktIx4oLjpEAtkJ2C9pNwGKLJRM9XbyUOOMz/Il/SntNt3/wAj+hetOo7z+/jc7f0pv0V338b3h3LL2sWvv15g2OfEE/pS6RP/AEu/QvUBBcP30b3h+lPm776L7zf0qvbhe9XlQY4/9Dv0JsOC7TbZ6Q/cuGOejYvWRHeP3kTlLT/SldWD+O7mZ+lV7ZXmrzve3N85pGkBLgnDYNYVWIw8X8p7l6SabE+9dzM7GqJ9IiH99E55dStju9vM3wzxD7p7lCXlpmAQRaCGkEHAzkvSnuf99F98qvGc/wC+ie9PrRMYLnQKrafv0OdrXtscLRPJwGR65pKQXZnnReAxznEOiOcJXGUpzFqdFqzSnJTlNVeFtnlmIzjrVR7lqWVFM8MkNtJlIkywAzSUmpILQZiZlPhabdFonMucDKaJBlloMqanh3Ad5w808YDDaOpGAEE+hwHcKC4tAP2mmNEESnabpHUMEYhRAbNIOMhMiYBniJhLLGzyeGcvhMFIFEnscs2yWScAmgp7SkHnO50fWGbXfA5bpgWI3Pj6xD2n4HLchVx9J5ezgnhNCe0LRisUODpOAN152DwByoy5VatgybM3nqw7TzK4hKKSSSlkukg0RCaWqctSaKqErOaoXMV0sUTmKiVtFMc1WixRuYlQqOCheFcc1QvYkaGjttUpiaDwcCNE89h8a0jRK1JSRNvUpva8Z4TxnOAMpzHgjrVRtFa1rpPiSPlHvM3TnhK4CUrsApqNG0m23iw9h8YgqCkwi5zQYr2NadMNZ6UpSE8ADhdaiUWAtYPhtIHAm77KGeAb5SldhjYZa1U+nNhuDPTvbDbIAznMD0TjkUbrGC0uBJBim2GHskWgkzAcgUdwBDYYnPznM8o0O1jBXKys/kGaPHDhPHEYgynIqWaz9WVgwnybgQLXnStyAk4T7EZbFDgCDYss8dOjjy3Ptca5SNcqjHqZrlm0Ybc//iIe0/CVuQFhdz/+Ih+0fhK3jAnw3xU808lAVijQdJwGfVj0TUbWonVEGwu5B1ns5itWFX9HUukpA1cQmSKSUBDqbS5PLdNjbhJzpG6c5AHNQb9O3TZLU84j2VneTV6bTi3N7GwxLvaBtjeu33jnLJIYzuO33jkc27OdP3voex9jTmKFzUJMUy89vvn9KjdGdxme/wDJP3vovZ+xYhROQt1INvDb7x7tnOkMU8dvvHV6qXu/R+z9iDgoYhVF0Q8dvO79KZDjcLR0mmYwJMiMLQM+hE5N0rxam9rT4qpRheQZKSIVWivV1Mh9XUiT5ON9h5cedFKS0i0ecLuaUllYkXRcDhcdhWmoNI04dt4sPYebqKlStRw4aRNIc50R3BsBaxs7JNvExKfytDR6LBY5zYZAeZ6ZE4ZJBmTIznj0orSYm8nS0QW6UyeKZSJ2EWbbdmUramF2mIge612mYTmNc20gNkSHEaMjPEOBGSPVovRvum0ylQ2ne5EAztNocczoytUdD3Qsa8MkN7Nmk2ZDT62Q/wCVnaW2GWmHCc5gPpuLtOeJc12ctSFw4TITTDa/hn94DITnZMTwmi5bmhMJjdx64x6sMesPuQrcgCjxojXPAO9kGek0eiZ+kLdoGpbGG+xZ2NZdsjue/wARD9rsW/hrAVCfrEP2+xegQ1PB1S5+4ka0kgC8yA2m5aKDD0QGi4CXeULqWDpOL8G2D2iOwfEEXmuhzFTSUqgpjuA6V5Ehh51k+lLapN0IMUkkl8LhEyGmbpnAtlyak0uIHnwz+Ll4uuaVzIgkA0bdPCXT/wAcvPa7ij3m9y5Xb0YInrN5TPs8SKidGOBYNuzVyJ+i71Z63tXPacm38dvJhsTCIRb+E3HHWfHKmPpMrNJp5ZZqR7Her/qDXq1dSg3o5N98arzzeJoLRppWUrcZt708O9Zv5uXDWmiG4G5spccdIlZh4C4h2IZ74t8TQCvlKx7fzHLV4kqLo2i4EvaZHBr7rZkkjKfKFdIOJh8rtuCrR4U5TiQveJlMW9BKJT1tbiBVIoVmFE0mgzneLMwZHqUUVq6HN0F0lk1bqSlyMibPNP8ASfGtMisVGei+eBsKKGppLAQQeZZSnVHC0g7e2zAk0yuGQyWno8XTYDiLDtGPKLVVpDFNVKwlPqOEZne2zzkJ86zlNqdgNjeZekUuizQCn1fNLybDighrgWkggggg2gi0Ea16BVG6eG6EN+cGRBY6wyMvSEhYDltWbjUAqAUDWnd1O9NBUP8AiIftrfvdILlyz4Oqr/o7jT0WBvUNrDfKbvaNp5ruRTtXLl0OYpCD19SA0NaReSeaQyOaVco5Pi14ZvOAzYkPBrdRkLDq4IlbNK6IyWE/Z8Zrly5nd6YawMFsttnz8SXOcJ+b0C6zWlXJosRuiNnLRwyttnjPaoiW8UY4DM69RSrkK9KQFvF6PmuiEcTHJt8turoXLkJsNBODD+X9WpMe53EMpWebbIX36sVy5LZ6S0SG4T0hKcnC7Gw46hzp0Rq5cunHpzZ9q0ViG0qHMFcuTSu1HHtkceCfaFx8ZojGauXJHFOLDQ6lQJrlyRglMoqH72uXJpsf/9k=" # Extensões aceitas: png, jpg, jpeg e gif
IMAGEM_MEIO = "data:image/jpeg;base64,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" # Extensões aceitas: png, jpg, jpeg e gif
nome_da_cena_meio = Cena(IMAGEM_MEIO)
nome_da_cena_direita = Cena(IMAGEM_DIREITA, direita = nome_da_cena_meio)
nome_da_cena_esquerda = Cena(IMAGEM_ESQUERDA, direita = nome_da_cena_meio)
nome_da_cena = Cena(IMAGEM_QUALQUER, # Parâmetro obrigatório
esquerda=nome_da_cena_esquerda, # default = NADA = SalaCenaNula()
direita=nome_da_cena_direita, # default = NADA = SalaCenaNula()
meio=nome_da_cena_meio) # default = NADA = SalaCenaNula()
nome_da_cena_esquerda.esquerda = nome_da_cena
nome_da_cena_esquerda.direita = nome_da_cena_meio
nome_da_cena_direita.direita = nome_da_cena
nome_da_cena_direita.esquerda = nome_da_cena_meio
nome_da_cena_meio.direita = nome_da_cena_direita
nome_da_cena_meio.esquerda = nome_da_cena_esquerda
nome_da_cena_meio.meio = nome_da_cena
nome_da_cena.vai()
def criarsalas():
a_norte = Cena(img=A_NORTE)
a_sul = Cena(img=A_SUL)
a_leste = Cena(img=A_LESTE)
a_oeste = Cena(img=A_OESTE)
b_norte = Cena(img=B_NORTE)
b_sul = Cena(img=B_SUL)
b_leste = Cena(img=B_LESTE)
b_lestea = Cena(B_LESTEA)
b_oeste = Cena(img=B_OESTE)
c_norte = Cena(img=C_NORTE)
c_sul = Cena(img=C_SUL)
c_leste = Cena(img=C_LESTE)
c_oeste = Cena(img=C_OESTE)
d_norte = Cena(img=D_NORTE)
d_sul = Cena(img=D_SUL)
d_leste = Cena(img=D_LESTE)
d_oeste = Cena(img=D_OESTE)
e_norte = Cena(img=E_NORTE)
e_sul = Cena(img=E_SUL)
e_leste = Cena(img=E_LESTE)
e_lestea = Cena(img=E_LESTEA)
f_norte = Cena(img=F_NORTE)
f_sul = Cena(img=F_SUL)
f_oeste = Cena(img=F_OESTE)
g_norte = Cena(img=G_NORTE)
g_sul = Cena(img=G_SUL)
g_leste = Cena(img=G_LESTE)
g_secreto = Cena(img=G_SECRETO)
edi = Elemento(img=EDI,
style=dict(top=100, left=122, height='250px', width=400))
ed = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed1 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed2 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed3 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed4 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed5 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed6 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed7 = Elemento(img=ED,
style=dict(top=100, left=122, height='25opx', width=400))
ed8 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed9 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed10 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed11 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed12 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed13 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed14 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed15 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed16 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed17 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed18 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed19 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed20 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed21 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed22 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed23 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed24 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed25 = Elemento(img=ED,
style=dict(top=100, left=122, height='250px', width=400))
ed26 = Elemento(img=EDI,
style=dict(top=100, left=122, height='250px', width=400))
guarda = Elemento(img=GUARDA,
style=dict(top=100, left=122, height=100, width=250))
edi.entra(a_norte)
txtedi = Texto(
a_norte,
"Bem vindo, caro visitante, nesse jogo voce vai conhecer um pouco da UFRJ, a CCMN!"
)
edi.vai = txtedi.vai
ed.entra(a_leste)
txted = Texto(a_leste, "Vamos a visita!")
ed.vai = txted.vai
ed1.entra(b_norte)
txted1 = Texto(
b_norte,
"Aqui e a entrada, para passarmos da catraca precisamos falar com o guarda a sua direita."
)
ed1.vai = txted1.vai
ed2.entra(b_leste)
txted2 = Texto(
b_leste, " E aqui solicitaremos o acesso para passarmos pela catraca.")
ed2.vai = txted2.vai
ed3.entra(c_norte)
txted3 = Texto(
c_norte,
"Agora que passamos da catraca, vamos ver esse mundo magico da CCMN.")
ed3.vai = txted3.vai
ed4.entra(d_oeste)
txted4 = Texto(
d_oeste,
"Logo mais a frente havera uma porta a sua esquerda, entre nela.")
ed4.vai = txted4.vai
ed5.entra(f_norte)
txted5 = Texto(
f_norte,
"Esse e o corredor que leva a nossa sala de aula, vire as proximas duas esquerdas e chegaremos a nossa sala."
)
ed5.vai = txted5.vai
ed6.entra(a_oeste)
ed7.entra(a_sul)
ed8.entra(b_oeste)
ed9.entra(b_sul)
ed10.entra(c_leste)
ed11.entra(c_sul)
ed12.entra(c_oeste)
ed13.entra(d_norte)
txted13 = Texto(d_norte, "O CCMN foi fundado em 1967 por Tercio Pacitti!")
ed13.vai = txted13.vai
ed14.entra(d_sul)
ed15.entra(d_leste)
ed16.entra(e_norte)
txted16 = Texto(
e_norte,
"Esse curso nos ensina a programar jogos no python e nos auxilia a raciocinar mais sobre tudo!"
)
ed16.vai = txted16.vai
ed17.entra(e_leste)
ed19.entra(e_lestea)
ed20.entra(e_sul)
ed21.entra(f_sul)
ed22.entra(f_oeste)
ed23.entra(g_norte)
txted23 = Texto(
g_norte,
"Essa e a sala em que normalmente ficamos, onde a magia ocorre!")
ed23.vai = txted23.vai
ed24.entra(g_leste)
ed25.entra(g_sul)
ed26.entra(g_secreto)
txted26 = Texto(g_secreto,
"Essa e parte atual da turma desse curso de programacao!")
ed26.vai = txted26.vai
guarda.entra(b_lestea)
txtguarda = Texto(
b_lestea,
"Bom dia, voce precisa apresentar uma identificacao com foto, para ter acesso e passar pela catraca."
)
guarda.vai = txtguarda.vai
a_norte.direita = a_leste
a_norte.esquerda = a_oeste
a_norte.meio = b_norte
a_leste.esquerda = a_norte
a_leste.direita = a_sul
a_oeste.direita = a_norte
a_oeste.esquerda = a_sul
a_sul.direita = a_oeste
a_sul.esquerda = a_leste
b_norte.direita = b_leste
b_norte.esquerda = b_oeste
b_norte.meio = c_norte
b_leste.esquerda = b_norte
b_leste.direita = b_sul
b_lestea.esquerda = b_norte
b_lestea.direita = b_sul
b_leste.meio = b_lestea
b_oeste.direita = b_norte
b_oeste.esquerda = b_sul
b_sul.direita = b_oeste
b_sul.esquerda = b_leste
b_sul.meio = a_norte
c_norte.direita = c_leste
c_norte.esquerda = c_oeste
c_norte.meio = d_norte
c_leste.esquerda = c_norte
c_leste.direita = c_sul
c_oeste.direita = c_norte
c_oeste.esquerda = c_sul
c_sul.direita = c_oeste
c_sul.esquerda = c_leste
c_sul.meio = b_norte
d_norte.direita = d_leste
d_norte.esquerda = d_oeste
d_leste.esquerda = d_norte
d_leste.direita = d_sul
d_oeste.direita = d_norte
d_oeste.esquerda = d_sul
d_oeste.meio = e_norte
d_sul.direita = d_oeste
d_sul.esquerda = d_leste
d_sul.meio = c_norte
e_norte.direita = e_sul
e_norte.esquerda = e_leste
e_leste.esquerda = e_sul
e_leste.direita = e_norte
e_leste.meio = e_lestea
e_lestea.esquerda = e_sul
e_lestea.direita = e_norte
e_lestea.meio = f_norte
e_sul.direita = e_leste
e_sul.esquerda = e_norte
e_sul.meio = d_norte
f_norte.direita = f_sul
f_norte.esquerda = f_oeste
f_oeste.direita = f_norte
f_oeste.esquerda = f_sul
f_oeste.meio = g_norte
f_sul.direita = f_oeste
f_sul.esquerda = f_norte
f_sul.meio = e_norte
g_norte.direita = g_leste
g_norte.esquerda = g_sul
g_norte.meio = g_secreto
g_leste.esquerda = g_norte
g_leste.direita = g_sul
g_secreto.meio = g_norte
g_sul.direita = g_norte
g_leste.meio = f_oeste
g_sul.esquerda = g_leste
a_norte.vai()
def criarsalas(): a_leste = Cena(img=A_LESTE) aa_leste = Cena(img=AA_LESTE) a_leste.meio = aa_leste aaa_leste = Cena(img=AAA_LESTE) aa_leste.meio = aaa_leste aaaa_leste = Cena(img=AAAA_LESTE) aaa_leste.meio = aaaa_leste b_leste = Cena(img=B_LESTE) aaaa_leste.meio = b_leste b_norte = Cena(img=B_NORTE) b_sul = Cena(img=B_SUL, esquerda=b_leste) b_norte.direita = b_leste b_leste.direita = b_sul b_leste.esquerda = b_norte c_leste= Cena(img=C_LESTE) b_leste.meio = c_leste c_norte = Cena(img=C_NORTE) c_sul = Cena(img=C_SUL, esquerda=c_leste) c_oeste = Cena(img=C_OESTE, esquerda=c_sul, direita=c_norte, meio=b_sul) c_norte.direita = c_leste c_norte.esquerda = c_oeste c_leste.direita = c_sul c_leste.esquerda = c_norte c_sul.direita = c_oeste d_sul = Cena(img=D_SUL) c_leste.meio = d_sul bau = Elemento(img=TRANSPARENTE, tit="bau misterioso", style=dict(left=150, top=160, width=60, height=30)) bau.entra(c_leste) cbau = Texto(c_leste, "A morte estÃÂÂÂá prÃÂÂÂóxima") #inv.bota(bau, "bau", vai.vai) bau.vai = cbau.vai d_norte = Cena(img=D_NORTE) d_leste = Cena(img=D_LESTE, esquerda=d_norte, direita=d_sul) d_oeste = Cena(img=D_OESTE, esquerda=d_sul, direita=d_norte) d_norte.direita = d_leste d_norte.esquerda = d_oeste d_norte.meio = c_norte d_norte.direita = d_leste d_norte.esquerda = d_oeste d_sul.direita = d_oeste d_sul.esquerda = d_leste h_sul = Cena(img=H_SUL) d_sul.meio = h_sul h_norte = Cena(img=H_NORTE) h_leste = Cena(img=H_LESTE, direita=h_sul, esquerda=h_norte) h_oeste = Cena(img=H_OESTE, esquerda=h_sul, direita=h_norte) h_norte.direita = h_leste h_norte.esquerda = h_oeste h_sul.direita = h_oeste h_sul.esquerda = h_leste h_norte.meio = d_norte i_leste = Cena(img=I_LESTE) h_leste.meio = i_leste chave = Elemento(img=CHAVE, tit="chave", style=dict(left=200, top=180, width=30, height=15)) chave.entra(h_leste) cchave = Texto(h_leste, "NÃÂÂÂão sei o que abre") chave.vai = cchave.vai sangue = Elemento(img=TRANSPARENTE, tit="sangue", style=dict(left=80, top=230, width=25, height=15)) sangue.entra(h_sul) vai = Texto(h_sul, "Nossa, quanto sangue") sangue.vai = vai.vai espada = Elemento(img=TRANSPARENTE, tit="espada", style=dict(left=0, top=60, width=70, height=200)) espada.entra(h_leste) vai = Texto(h_leste, "A espada foi criada no ano I a.C. e ÃÂÂÂé uma ÃÂÂÂótima arma para causar ferimentos") espada.vai = vai.vai i_oeste = Cena(img=I_OESTE) i_norte = Cena(img=I_NORTE, direita = i_leste, esquerda = i_oeste) i_sul = Cena(img=I_SUL, direita = i_oeste, esquerda = i_leste) i_oeste.direita = i_norte i_oeste.esquerda = i_sul i_leste.direita = i_sul i_leste.esquerda = i_norte j_leste = Cena(img=J_LESTE) i_leste.meio = j_leste i_oeste.meio = h_oeste folhangue = Elemento(img=FOLHANGUE, tit="papel", style=dict(left=100, top=200, width=40, height=25)) folhangue.entra(i_leste) vai = Texto(i_leste, "As manchas de sangue impedem de ler tudo! PorÃÂÂÂém vocÃÂÂÂê consegue ler 'SOCORRO! AlguÃÂÂÂém...'") folhangue.vai = vai.vai j_oeste = Cena(img=J_OESTE) j_norte = Cena(img=J_NORTE, direita = j_leste, esquerda = j_oeste) j_sul = Cena(img=J_SUL, direita = j_oeste, esquerda = j_leste) j_oeste.direita = j_norte j_oeste.esquerda = j_sul j_leste.direita = j_sul j_leste.esquerda = j_norte j_oeste.meio = i_oeste e_norte = Cena(img=E_NORTE) j_norte.meio = e_norte k_leste = Cena(img=K_LESTE) j_leste.meio = k_leste saidabloq = Elemento(img=TRANSPARENTE, tit="saida bloqueada", style=dict(left=100, top=100, width=150, height=200)) saidabloq.entra(j_sul) vai = Texto(j_sul, "Esta saÃÂÂÂÃÂÂÂda estÃÂÂÂá bloqueada") saidabloq.vai = vai.vai e_oeste = Cena(img=E_OESTE, direita=e_norte) e_leste = Cena(img=E_LESTE, esquerda=e_norte) e_sul = Cena(img=E_SUL, esquerda=e_leste, direita=e_oeste) e_oeste.esquerda = e_sul e_leste.direita = e_sul e_norte.direita = e_leste e_norte.esquerda = e_oeste e_sul.meio = j_sul carta = Elemento(img=CARTA, tit="carta", style=dict(left=200, top=115, width=50, height=10)) carta.entra(e_oeste) vai = Texto(e_oeste, "A vida nÃÂÂÂão ÃÂÂÂé boa mais. NÃÂÂÂão hÃÂÂÂá esperanÃÂÂÂça. Adeus, mundo cruel!") carta.vai = vai.vai k_oeste = Cena(img=K_OESTE) k_sul = Cena(img=K_SUL, esquerda=k_leste, direita=k_oeste) k_norte = Cena(img=K_NORTE, esquerda=k_oeste, direita=k_leste) k_oeste.direita = k_norte k_oeste.esquerda = k_sul k_leste.direita = k_sul k_leste.esquerda = k_norte k_oeste.meio = j_oeste l_leste = Cena(img=L_LESTE) k_leste.meio = l_leste pano = Elemento(img=PANO, tit="pano", style=dict(left=170, top=230, width=40, height=10)) pano.entra(k_norte) vai = Texto(k_norte, "O pano estÃÂÂÂá cheio de sangue") pano.vai = vai.vai a_leste.vai()
