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- """Binary solution class implementation
- """
- import numpy as np
- # modules imports
- from .Solution import Solution
- # Solution which stores solution data as binary array
- 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
- """
- super().__init__(data, size)
- 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)
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