def main():
cls = int(input("class amount: "))
objPerCls = int(input("object per class: "))
attrPerObj = int(input("attribute per object: "))
workObject = Perceptron()
while True:
workObject.generateData(cls, objPerCls, attrPerObj)
if workObject.findDecisionFunctions():
break
workObject.printClasses()
workObject.printDecisionFunctions("funcs")
while True:
src = input(f"test dataset({attrPerObj} int numbers): ")
if src == "exit":
break
try:
testDataset = [int(item) for item in src.split(" ")]
classNumber = workObject.findObjectClass(testDataset)
print(f"class #{classNumber}")
except ValueError:
print("invalid input")
