Refactored

helper.py

@@ -2,14 +2,6 @@ import numpy as np
 from numpy.random import uniform
 
 
-def create_test_state() -> np.array:
-	return np.array([['1', '2', '3'], ['4', '5', '6'], ['7', '8', '9']])
-
-
-def create_empty_state() -> np.array:
-	return np.array([['-', '-', '-'], ['-', '-', '-'], ['-', '-', '-']])
-
-
 def softmax(values: np.array, eps=1.0E-6) -> np.array:
 	result = (values + eps) / (sum(values + eps))
 	return result
@@ -46,36 +38,6 @@ def test_sample(data):
 	print(c)
 
 
-def to_state_string(state, state_nex=None):
-	sp = '      '
-	sp_arrow = '  =>  '
-	sp_ = [sp, sp_arrow, sp]
-
-	def col(str_in, state):
-		str_out = str_in
-		for c in range(0, 3):
-			char = state[r][c]
-			if char == '-':
-				char = ' '
-			str_out += "|" + char
-		str_out += '|'
-		return str_out
-
-	state_str = ''
-	for r in range(0, 3):
-		if state is not None:
-			state_str = col(state_str, state)
-
-		if state_nex is not None:
-			state_str += sp_[r]
-			state_str = col(state_str, state_nex)
-
-		if r != 2:
-			state_str += '\x0A'
-
-	return state_str
-
-
 if __name__ == '__main__':
 	print("Testing sample()")
 	test_sample([0.7, 0.1, 0.1, 0.1])