/usr/share/pyshared/pyevolve/G2DBinaryString.py is in python-pyevolve 0.6~rc1+svn398+dfsg-2.
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:mod:`G2DBinaryString` -- the classical binary string chromosome
=====================================================================
This representation is a 2D Binary String, the string looks like
this matrix:
00101101010
00100011010
00101101010
10100101000
Default Parameters
-------------------------------------------------------------
*Initializator*
:func:`Initializators.G2DBinaryStringInitializator`
The Binatry String Initializator for G2DBinaryString
*Mutator*
:func:`Mutators.G2DBinaryStringMutatorFlip`
The Flip Mutator for G2DBinaryString
*Crossover*
:func:`Crossovers.G2DBinaryStringXSinglePoint`
The Single Point Crossover for G2DBinaryString
.. versionadded:: 0.6
Added the module :mod:`G2DBinaryString`
Class
-------------------------------------------------------------
"""
from GenomeBase import GenomeBase
import Consts
import Util
class G2DBinaryString(GenomeBase):
""" G3DBinaryString Class - The 2D Binary String chromosome
Inheritance diagram for :class:`G2DBinaryString.G2DBinaryString`:
.. inheritance-diagram:: G2DBinaryString.G2DBinaryString
Example:
>>> genome = G2DBinaryString.G2DBinaryString(10, 12)
:param height: the number of rows
:param width: the number of columns
"""
evaluator = None
""" This is the :term:`evaluation function` slot, you can add
a function with the *set* method: ::
genome.evaluator.set(eval_func)
"""
initializator = None
""" This is the initialization function of the genome, you
can change the default initializator using the function slot: ::
genome.initializator.set(Initializators.G2DBinaryStringInitializator)
In this example, the initializator :func:`Initializators.G1DBinaryStringInitializator`
will be used to create the initial population.
"""
mutator = None
""" This is the mutator function slot, you can change the default
mutator using the slot *set* function: ::
genome.mutator.set(Mutators.G2DBinaryStringMutatorSwap)
"""
crossover = None
""" This is the reproduction function slot, the crossover. You
can change the default crossover method using: ::
genome.crossover.set(Crossovers.G2DBinaryStringXUniform)
"""
def __init__(self, height, width):
""" The initializator of G2DBinaryString representation,
height and width must be specified """
GenomeBase.__init__(self)
self.height = height
self.width = width
self.genomeString = [None]*height
for i in xrange(height):
self.genomeString[i] = [None] * width
self.initializator.set(Consts.CDefG2DBinaryStringInit)
self.mutator.set(Consts.CDefG2DBinaryStringMutator)
self.crossover.set(Consts.CDefG2DBinaryStringCrossover)
def __eq__(self, other):
""" Compares one chromosome with another """
cond1 = (self.genomeString == other.genomeString)
cond2 = (self.height == other.height)
cond3 = (self.width == other.width)
return True if cond1 and cond2 and cond3 else False
def getItem(self, x, y):
""" Return the specified gene of List
Example:
>>> genome.getItem(3, 1)
0
:param x: the x index, the column
:param y: the y index, the row
:rtype: the item at x,y position
"""
return self.genomeString[x][y]
def setItem(self, x, y, value):
""" Set the specified gene of List
Example:
>>> genome.setItem(3, 1, 0)
:param x: the x index, the column
:param y: the y index, the row
:param value: the value (integers 0 or 1)
"""
if value not in [0,1]:
Util.raiseException("The item value must be 0 or 1 in the G2DBinaryString chromosome", ValueError)
self.genomeString[x][y] = value
def __getitem__(self, key):
""" Return the specified gene of List """
return self.genomeString[key]
def __iter__(self):
""" Iterator support to the list """
return iter(self.genomeString)
def getHeight(self):
""" Return the height (lines) of the List """
return self.height
def getWidth(self):
""" Return the width (lines) of the List """
return self.width
def getSize(self):
""" Returns a tuple (height, widht)
Example:
>>> genome.getSize()
(3, 2)
"""
return (self.getHeight(), self.getWidth())
def __repr__(self):
""" Return a string representation of Genome """
ret = GenomeBase.__repr__(self)
ret += "- G2DBinaryString\n"
ret += "\tList size:\t %s\n" % (self.getSize(),)
ret += "\tList:\n"
for line in self.genomeString:
ret += "\t\t\t"
for item in line:
ret += "[%s] " % (item)
ret += "\n"
ret += "\n"
return ret
def resumeString(self):
""" Returns a resumed string representation of the Genome
"""
ret = ""
for line in self.genomeString:
for item in line:
ret += "[%s] " % (item)
ret += "\n"
return ret
def clearString(self):
""" Remove all genes from Genome """
del self.genomeString[:]
self.genomeString = [None]* self.height
for i in xrange(self.height):
self.genomeString[i] = [None] * self.width
def copy(self, g):
""" Copy genome to 'g'
Example:
>>> genome_origin.copy(genome_destination)
:param g: the destination G2DBinaryString instance
"""
GenomeBase.copy(self, g)
g.height = self.height
g.width = self.width
for i in xrange(self.height):
g.genomeString[i] = self.genomeString[i][:]
def clone(self):
""" Return a new instace copy of the genome
:rtype: the G2DBinaryString clone instance
"""
newcopy = G2DBinaryString(self.height, self.width)
self.copy(newcopy)
return newcopy
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