neuronalprogramming/exambin.py at main · daradija/neuronalprogramming · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
# Example binary
import random


class Solution:
	def __init__(self):
		self.program=[]

	def generateSimpleSolutions(self,var):
		pass

class Razonador:
	def __init__(self):
		self.examples=ExamBin()

		while True:
			match random.randomint(0,2):
				case 0:
					print("Genera una nueva solucion")
					# get random sample
					sample = random.choice(self.examples.examples)

				case 1:
					print("Muta una solucion")
				case 2:
					print("Testea una solucion")


class ExamBin:
	def __init__(self):
		self.makeExamples()


	def makeExamples(self):
		examples=1000
		self.examples=[]
		for i in range(examples):
			var={}
			var["a"]=random.random()*2-1
			var["b"]=random.random()*2-1
			var["c"]=random.random()*2-1

			self.examples.append(var)

	def simple(self,var):
		if var["c"]<0:
			return var["a"]
		else:
			return var["b"]


if __name__ == "__main__":
	ExamBin()