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"""

:mod:`GenomeBase` -- the genomes base module
================================================================

This module have the class which every representation extends,
if you are planning to create a new representation, you must
take a inside look into this module.

"""
from random import choice as rand_choice
import inspect

from FunctionSlot import FunctionSlot
import Util

class GenomeBase:
   """ GenomeBase Class - The base of all chromosome representation """

   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.G1DListInitializatorAllele)

   In this example, the initializator :func:`Initializators.G1DListInitializatorAllele`
   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.G1DListMutatorSwap)

   """

   crossover = None
   """ This is the reproduction function slot, the crossover. You
   can change the default crossover method using: ::

      genome.crossover.set(Crossovers.G1DListCrossoverUniform)
   """


   def __init__(self):
      """Genome Constructor"""
      self.evaluator = FunctionSlot("Evaluator")
      self.initializator = FunctionSlot("Initializator")
      self.mutator = FunctionSlot("Mutator")
      self.crossover = FunctionSlot("Crossover")
 
      self.internalParams = {}
      self.score = 0.0
      self.fitness = 0.0

   def getRawScore(self):
      """ Get the Raw Score of the genome

      :rtype: genome raw score

      """
      return self.score

   def getFitnessScore(self):
      """ Get the Fitness Score of the genome

      :rtype: genome fitness score

      """
      return self.fitness

   def __repr__(self):
      """String representation of Genome"""
      allSlots =  self.allSlots = [ self.evaluator, self.initializator,
                                    self.mutator, self.crossover ]

      ret = "- GenomeBase\n"
      ret+= "\tScore:\t\t\t %.6f\n" % (self.score,)
      ret+= "\tFitness:\t\t %.6f\n\n" % (self.fitness,)
      ret+= "\tParams:\t\t %s\n\n" % (self.internalParams,)

      for slot in allSlots:
         ret+= "\t" + slot.__repr__()
      ret+="\n"

      return ret

   def setParams(self, **args):
      """ Set the internal params

      Example:
         >>> genome.setParams(rangemin=0, rangemax=100, gauss_mu=0, gauss_sigma=1)

      .. note:: All the individuals of the population shares this parameters and uses
                the same instance of this dict.

      :param args: this params will saved in every chromosome for genetic op. use

      """
      self.internalParams.update(args)
   
   def getParam(self, key, nvl=None):
      """ Gets an internal parameter

      Example:
         >>> genome.getParam("rangemax")
         100

      .. note:: All the individuals of the population shares this parameters and uses
                the same instance of this dict.

      :param key: the key of param
      :param nvl: if the key doesn't exist, the nvl will be returned

      """
      return self.internalParams.get(key, nvl)
      
   def resetStats(self):
      """ Clear score and fitness of genome """
      self.score = 0.0
      self.fitness = 0.0
      
   def evaluate(self, **args):
      """ Called to evaluate genome

      :param args: this parameters will be passes to the evaluator

      """
      self.resetStats()
      for it in self.evaluator.applyFunctions(self, **args):
         self.score += it

   def initialize(self, **args):
      """ Called to initialize genome

      :param args: this parameters will be passed to the initializator

      """
      for it in self.initializator.applyFunctions(self, **args):
         pass

   def mutate(self, **args):
      """ Called to mutate the genome

      :param args: this parameters will be passed to the mutator
      :rtype: the number of mutations returned by mutation operator

      """
      nmuts = 0
      for it in self.mutator.applyFunctions(self, **args):
         nmuts+=it
      return nmuts

   def copy(self, g):
      """ Copy the current GenomeBase to 'g'

      :param g: the destination genome      

      .. note:: If you are planning to create a new chromosome representation, you
                **must** implement this method on your class.

      """
      g.score = self.score
      g.fitness = self.fitness
      g.evaluator = self.evaluator
      g.initializator = self.initializator
      g.mutator = self.mutator
      g.crossover = self.crossover
      #g.internalParams = self.internalParams.copy()
      g.internalParams = self.internalParams
      
   def clone(self):
      """ Clone this GenomeBase

      :rtype: the clone genome   

      .. note:: If you are planning to create a new chromosome representation, you
                **must** implement this method on your class.
      """
      newcopy = GenomeBase()
      self.copy(newcopy)
      return newcopy
   
class G1DBase:
   """ G1DBase Class - The base class for 1D chromosomes
   
   :param size: the 1D list size

   .. versionadded:: 0.6
      Added te *G1DBase* class
   """

   def __init__(self, size):
      self.genomeSize = size
      self.genomeList = []

   def __iadd__(self, item):
      """ To add more items using the += operator """
      self.genomeList.append(item)
      return self

   def __eq__(self, other):
      """ Compares one chromosome with another """
      cond1 = (self.genomeList == other.genomeList)
      cond2 = (self.genomeSize   == other.genomeSize)
      return True if cond1 and cond2 else False
   
   def __contains__(self, value):
      """ Used on: *value in genome* """
      return value in self.genomeList

   def __getslice__(self, a, b):
      """ Return the sliced part of chromosome """
      return self.genomeList[a:b]

   def __setslice__(self, a, b, val):
      """ Sets the slice part of chromosome """
      self.genomeList[a:b] = val

   def __getitem__(self, key):
      """ Return the specified gene of List """
      return self.genomeList[key]

   def __setitem__(self, key, value):
      """ Set the specified value for an gene of List """
      self.genomeList[key] = value

   def __iter__(self):
      """ Iterator support to the list """
      return iter(self.genomeList)
   
   def __len__(self):
      """ Return the size of the List """
      return len(self.genomeList)

   def getListSize(self):
      """ Returns the list supposed size

      .. warning:: this is different from what the len(obj) returns
      """
      return self.genomeSize

   def resumeString(self):
      """ Returns a resumed string representation of the Genome """
      return str(self.genomeList)

   def append(self, value):
      """ Appends an item to the end of the list
      
      Example:
         >>> genome.append(44)

      :param value: value to be added
      
      """
      self.genomeList.append(value)

   def remove(self, value):
      """ Removes an item from the list
      
      Example:
         >>> genome.remove(44)

      :param value: value to be added
      
      """
      self.genomeList.remove(value)

   def clearList(self):
      """ Remove all genes from Genome """
      del self.genomeList[:]
   
   def copy(self, g):
      """ Copy genome to 'g'
      
      Example:
         >>> genome_origin.copy(genome_destination)
      
      :param g: the destination instance

      """
      g.genomeSize = self.genomeSize
      g.genomeList = self.genomeList[:]

   def getInternalList(self):
      """ Returns the internal list of the genome

      ... note:: this method was created to solve performance issues
      :rtype: the internal list
      """
      return self.genomeList

   def setInternalList(self, lst):
      """ Assigns a list to the internal list of the chromosome
      
      :param lst: the list to assign the internal list of the chromosome
      """
      self.genomeList = lst

class GTreeNodeBase:
   """ GTreeNodeBase Class - The base class for the node tree genomes
   
   :param parent: the parent node of the node
   :param childs: the childs of the node, must be a list of nodes   

   .. versionadded:: 0.6
      Added te *GTreeNodeBase* class
   """

   def __init__(self, parent, childs=None):
      self.parent = parent
      self.childs = []

      if childs is not None:
         if type(childs) != list:
            Util.raiseException("Childs must be a list of nodes", TypeError)
         typecheck_list = filter(lambda x: not isinstance(x, GTreeNodeBase), childs)
         if len(typecheck_list) > 0:
            Util.raiseException("Childs must be a list of nodes", TypeError)
         self.childs += childs

   def isLeaf(self):
      """ Return True if the node is a leaf

      :rtype: True or False
      """
      return len(self.childs)==0
   
   def getChild(self, index):
      """ Returns the index-child of the node
      
      :rtype: child node
      """
      return self.childs[index]

   def getChilds(self):
      """ Return the childs of the node

      .. warning :: use .getChilds()[:] if you'll change the list itself, like using childs.reverse(),
                    otherwise the original genome child order will be changed.

      :rtype: a list of nodes
      """
      return self.childs
   
   def addChild(self, child):
      """ Adds a child to the node
      
      :param child: the node to be added   
      """
      if type(child) == list:
         self.childs.extend(child)
      else:
         if not isinstance(child, GTreeNodeBase):
            Util.raiseException("The child must be a node", TypeError)
         self.childs.append(child)

   def replaceChild(self, older, newer):
      """ Replaces a child of the node

      :param older: the child to be replaces
      :param newer: the new child which replaces the older
      """
      index = self.childs.index(older)
      self.childs[index] = newer

   def setParent(self, parent):
      """ Sets the parent of the node

      :param parent: the parent node
      """
      #if not isinstance(parent, GTreeNodeBase):
      #   Util.raiseException("The parent must be a node", TypeError)
      self.parent = parent
   
   def getParent(self):
      """ Get the parent node of the node

      :rtype: the parent node
      """
      return self.parent

   def __repr__(self):
      parent = "None" if self.getParent() is None else "Present"
      str_repr = "GTreeNodeBase [Childs=%d]" % len(self)
      return str_repr

   def __len__(self):
      return len(self.childs)

   def copy(self, g):
      """ Copy the current contents GTreeNodeBase to 'g'

      :param g: the destination node      

      .. note:: If you are planning to create a new chromosome representation, you
                **must** implement this method on your class.
      """
      g.parent = self.parent
      g.childs = self.childs[:]
      
   def clone(self):
      """ Clone this GenomeBase

      :rtype: the clone genome   

      .. note:: If you are planning to create a new chromosome representation, you
                **must** implement this method on your class.
      """
      newcopy = GTreeNodeBase(None)
      self.copy(newcopy)
      return newcopy
   

class GTreeBase:
   """ GTreeBase Class - The base class for the tree genomes
   
   :param root_node: the root node of the tree

   .. versionadded:: 0.6
      Added te *GTreeBase* class
   """

   def __init__(self, root_node):
      self.root_node = root_node
      self.tree_height = None
      self.nodes_list = None

   def processNodes(self, cloning=False):
      """ Creates a *cache* on the tree, this method must be called
      every time you change the shape of the tree. It updates the
      internal nodes list and the internal nodes properties such as
      depth and height.
      """
      if self.root_node is None: return
      self.nodes_list   = self.getAllNodes()
      self.nodes_leaf   = filter(lambda n: n.isLeaf(), self.nodes_list)
      self.nodes_branch = filter(lambda n: n.isLeaf()==False, self.nodes_list)

      if not cloning:
         self.tree_height = self.getNodeHeight(self.getRoot())
   
   def getRoot(self):
      """ Return the tree root node 

      :rtype: the tree root node
      """
      return self.root_node
   
   def setRoot(self, root):
      """ Sets the root of the tree

      :param root: the tree root node
      """
      if not isinstance(root, GTreeNodeBase):
         Util.raiseException("The root must be a node", TypeError)
      self.root_node = root

   def getNodeDepth(self, node):
      """ Returns the depth of a node

      :rtype: the depth of the node, the depth of root node is 0
      """
      if node==self.getRoot(): return 0
      else:                    return 1 + self.getNodeDepth(node.getParent())

   def getNodeHeight(self, node):
      """ Returns the height of a node

      .. note:: If the node has no childs, the height will be 0.

      :rtype: the height of the node
      """
      height = 0
      if len(node) <= 0:
         return 0
      for child in node.getChilds():
         h_inner = self.getNodeHeight(child)+1
         if h_inner > height:
            height = h_inner
      return height

   def getHeight(self):
      """ Return the tree height
      
      :rtype: the tree height
      """
      return self.tree_height

   def getNodesCount(self, start_node=None):
      """ Return the number of the nodes on the tree
      starting at the *start_node*, if *start_node* is None,
      then the method will count all the tree nodes.

      :rtype: the number of nodes
      """
      count = 1
      if start_node is None:
         start_node = self.getRoot()
      for i in start_node.getChilds():
         count += self.getNodesCount(i)
      return count
   
   def getTraversalString(self, start_node=None, spc=0):
      """ Returns a tree-formated string of the tree. This
      method is used by the __repr__ method of the tree
      
      :rtype: a string representing the tree
      """
      str_buff = ""
      if start_node is None:
         start_node = self.getRoot()
         str_buff += "%s\n" % start_node
      spaces = spc + 2
      for child_node in start_node.getChilds():
         str_buff += "%s%s\n" % (" " * spaces, child_node)
         str_buff += self.getTraversalString(child_node, spaces)
      return str_buff


   def traversal(self, callback, start_node=None):
      """ Traversal the tree, this method will call the
      user-defined callback function for each node on the tree

      :param callback: a function
      :param start_node: the start node to begin the traversal
      """
      if not inspect.isfunction(callback):
         Util.raiseException("The callback for the tree traversal must be a function", TypeError)

      if start_node is None:
         start_node = self.getRoot()
         callback(start_node)
      for child_node in start_node.getChilds():
         callback(child_node)
         self.traversal(callback, child_node)

   def getRandomNode(self, node_type=0):
      """ Returns a random node from the Tree

      :param node_type: 0 = Any, 1 = Leaf, 2 = Branch
      :rtype: random node
      """
      lists = (self.nodes_list, self.nodes_leaf, self.nodes_branch)
      cho = lists[node_type]
      if len(cho) <= 0:
         return None
      return rand_choice(cho)

   def getAllNodes(self):
      """ Return a new list with all nodes
      
      :rtype: the list with all nodes
      """
      node_stack = []
      all_nodes  = []
      tmp = None

      node_stack.append(self.getRoot())
      while len(node_stack) > 0:
         tmp = node_stack.pop()
         all_nodes.append(tmp)
         childs = tmp.getChilds()
         node_stack.extend(childs)

      return all_nodes 

   def __repr__(self):
      str_buff  = "- GTree\n"
      str_buff += "\tHeight:\t\t\t%d\n" % self.getHeight()
      str_buff += "\tNodes:\t\t\t%d\n" % self.getNodesCount()
      str_buff += "\n" + self.getTraversalString()

      return str_buff

   def __len__(self):
      return len(self.nodes_list)
   
   def __getitem__(self, index):
      return self.nodes_list[index]

   def __iter__(self):
      return iter(self.nodes_list)

   def copy(self, g, node=None, node_parent=None):
      """ Copy the current contents GTreeBase to 'g'

      :param g: the destination GTreeBase tree

      .. note:: If you are planning to create a new chromosome representation, you
                **must** implement this method on your class.
      """
      if node is None:
         g.tree_height = self.tree_height
         node = self.root_node

      if node is None: return None

      newnode = node.clone()

      if node_parent is None:
         g.setRoot(newnode)
      else:
         newnode.setParent(node_parent)
         node_parent.replaceChild(node, newnode)
      
      for ci in xrange(len(newnode)):
         GTreeBase.copy(self, g, newnode.getChild(ci), newnode)

      return newnode
      
   def clone(self):
      """ Clone this GenomeBase

      :rtype: the clone genome   

      .. note:: If you are planning to create a new chromosome representation, you
                **must** implement this method on your class.
      """
      newcopy = GTreeBase(None)
      self.copy(newcopy)
      newcopy.processNodes()
      return newcopy