##DEFINITIONS OF STUFF
d = []
d = os.getcwd() + "/"
curSide = ["Left", "Right", "Middle"]
#defintions for FBCA generation
libFBCAGen.CALength = 20 #Length of the generated image (for min use 5)
libFBCAGen.CAWidth = 20 #Width of the generated image (for min use 4)
libFBCAGen.useImages = 1 #checks if you want images This is annoying
libFBCAGen.numOfGens = 20 #number of generations
libFBCAGen.numOfStates = 2 #number of states (good until 10)
smallDelta = 1e-6
CAMapInit = []
borderLambdas = []
CAMapInit = libFBCAGen.initCA(CAMapInit)
##START
edgeRecord = open("morphEdges", "r")
#loops through files
for line in edgeRecord:
splits = []
sM1 = []
sM2 = []
lambdas = []
levelMap = []
splits = line.split("sMs")
lambdas = convTextListToList(splits[0])
sM1 = convTextListToList(splits[1])
sM2 = convTextListToList(splits[2])
for lamb in lambdas:
scoreMatrix=[]
lambd=0
xSpot=0
behaviourNum=-1
##INITS
## Morph visualziation varbs
morphRes=1000 #How many equally spaced score matrices are generated btwn sM1 and sM2
imageHeight=100 #Height of the generated image
#Defintions for FBCA generation (this is used to generate the 'vertex CAs')
libFBCAGen.useImages=0 #generate gifs?
libFBCAGen.finalImage=0 #generate final level map?
libFBCAGen.numOfGens=20 #number of generations
libFBCAGen.random.seed(1) #set to 1 for constant
libFBCAGen.numOfStates=4 #set correctly
CAMapInit=[];CAMapInit=libFBCAGen.initCA(CAMapInit) #Get L_0
d=[];d=os.getcwd()+"/" #Get directory
quantiferRead= "small"
quantifer = "small"
#Score matrix inits
crissCrossRecord=open(f"crissCross {quantifer}", "r")
sMs=[]
for line in crissCrossRecord:
line=line.split(":")[2][:-2]
sMs.append(libFBCAGen.convTextListToList(line))
## MAIN ##
# Generates the images for the vertexs
import FBCAConsts import libFBCAGen # generate a text file exFBCA = FBCAConsts.Fbca() exFBCA.scoreMatrix = [0, 0.5, 0.2, 0.6] exFBCA.levelMap = libFBCAGen.initCA(exFBCA) exFBCA.g = 6 libFBCAGen.genText(exFBCA, fileName="readTextExample.txt") # read from text fileToReadFrom = "readTextExample.txt" listOfFBCAs = libFBCAGen.readFBCA(fileToReadFrom) print(listOfFBCAs[0].g) print(listOfFBCAs[0].n) print(listOfFBCAs[0].torusWidth) print(listOfFBCAs[0].torusLength) print(listOfFBCAs[0].scoreMatrix) print(listOfFBCAs[0].neighbourhood) libFBCAGen.generateFBCA(exFBCA, quantifer="/original", saveImages=True) libFBCAGen.generateFBCA(listOfFBCAs[0], quantifer="/new", saveImages=True)
