"""Binary solution class implementation
"""
import numpy as np
# modules imports
from .Solution import Solution
# Solution which stores solution data as binary array
[docs]class BinarySolution(Solution):
"""
Binary integer solution class
Attributes:
data: {ndarray} -- array of binary values
size: {int} -- size of binary array values
score: {float} -- fitness score value
"""
def __init__(self, _data, _size):
"""
Initialize binary solution using specific data
Args:
data: {ndarray} -- array of binary values
size: {int} -- size of binary array values
"""
self.data = _data
self.size = _size
[docs] def random(self, _validator):
"""
Intialize binary array with use of validator to generate valid random solution
Args:
_validator: {function} -- specific function which validates or not a solution
Returns:
{BinarySolution} -- new generated binary solution
"""
self.data = np.random.randint(2, size=self.size)
while not self.isValid(_validator):
self.data = np.random.randint(2, size=self.size)
return self
def __str__(self):
return "Binary solution %s" % (self.data)