From 71e4d96f693ef41cd5e075e12b8210fc5d7383d8 Mon Sep 17 00:00:00 2001
From: SevgiAkten <sevgiakten@gmail.com>
Date: Fri, 9 Aug 2024 17:21:55 +0300
Subject: [PATCH] delete unnecessary file

---
 cga/individual.py | 131 ----------------------------------------------
 1 file changed, 131 deletions(-)
 delete mode 100644 cga/individual.py

diff --git a/cga/individual.py b/cga/individual.py
deleted file mode 100644
index 14200d2..0000000
--- a/cga/individual.py
+++ /dev/null
@@ -1,131 +0,0 @@
-from numpy import random
-import random as rd
-import numpy as np
-
-
-class Individual:
-    """
-    A class to represent an individual in an evolutionary algorithm.
-
-    Attributes
-    ----------
-    chromosome : list
-        The chromosome representing the individual.
-    fitness_value : float
-        The fitness value of the individual.
-    position : tuple
-        The position of the individual, represented as a tuple (x, y).
-    neighbors_positions : list or None
-        The positions of the individual's neighbors.
-    neighbors : list or None
-        The list of neighbors for the individual.
-    gen_type : str
-        The type of genome representation ("Binary", "Permutation", "Real-valued").
-    ch_size : int
-        The size of the chromosome.
-    """
-
-    def __init__(self, gen_type="Binary", ch_size=0):
-        """
-        Initialize an Individual with a specific genome type and chromosome size.
-
-        Parameters
-        ----------
-        gen_type : str, optional
-            The type of genome representation. Must be one of "Binary", "Permutation", or "Real". (default is "Binary")
-        ch_size : int
-            The size of the chromosome.
-        """
-        if not gen_type in ["Binary", "Permutation", "Real"]:
-            raise ValueError("Invalid genome type. Must be one of 'Binary', 'Permutation', or 'Real'.")
-        self.gen_type = gen_type
-        self.ch_size = ch_size
-        self.chromosome = []
-        self.fitness_value = 0
-        self.position = (0, 0)
-        self.neighbors_positions = None
-        self.neighbors = None
-
-    def randomize(self, mins = [], maxs = []):
-        """
-        Randomly initialize the chromosome based on the genome type.
-
-        Returns
-        -------
-        Function mutates the original chromosome of the individual and returns it.
-        
-        Raises
-        ------
-        NotImplementedError
-            If the genome type is not implemented.
-        """
-        if self.gen_type == "Binary":
-            # # CountSat, Fms, Mmdp, OneMax, Ecc, Maxcut20_01, Maxcut20_09, Maxcut100
-            self.chromosome = [random.randint(2) for i in range(self.ch_size)]
-
-            
-        elif self.gen_type == "Permutation":
-            # The random.permutation permutes from 0 to n - 1, however
-            # the library requires permutations 1 to n by design. That's why
-            # we add 1 to all values.
-            self.chromosome = list(np.random.permutation(self.ch_size) + 1)
-
-        elif self.gen_type == "Real":
-            # when the genome type is Real, the chrosomes should be initialized 
-            # by using given range of values, possibly using arguments.
-            # If arguments are not passed, the range is assumed to be [-1, 1].
-            if len(mins) == 0:
-                self.chromosome = [rd.uniform(-1, 1) for i in range(self.ch_size)]
-            else:
-                assert len(mins) == len(maxs) == self.ch_size
-                self.chromosome = [rd.uniform(mins[i], maxs[i]) for i in range(self.ch_size)]
-            
-
-        else:
-            raise NotImplementedError(self.gen_type + " not implemented yet.")
-        return self.chromosome
-
-
-    def getneighbors_positions(self) -> list:
-        """
-        Get the positions of the individual's neighbors.
-
-        Returns
-        -------
-        list or None
-            The positions of the individual's neighbors.
-        """
-        return self.neighbors_positions
-
-    def setneighbors_positions(self, positions: list) -> None:
-        """
-        Set the positions of the individual's neighbors.
-
-        Parameters
-        ----------
-        positions : list
-            The positions to set for the individual's neighbors.
-        """
-        self.neighbors_positions = positions
-
-    def getneighbors(self) -> list:
-        """
-        Get the list of neighbors for the individual.
-
-        Returns
-        -------
-        list or None
-            The list of neighbors for the individual.
-        """
-        return self.neighbors
-
-    def setneighbors(self, neighbors: list) -> None:
-        """
-        Set the list of neighbors for the individual.
-
-        Parameters
-        ----------
-        neighbors : list
-            The list of neighbors to set for the individual.
-        """
-        self.neighbors = list(neighbors)
\ No newline at end of file