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Python Statistics.__repr__方法代码示例

本文整理汇总了Python中Statistics.Statistics.__repr__方法的典型用法代码示例。如果您正苦于以下问题:Python Statistics.__repr__方法的具体用法?Python Statistics.__repr__怎么用?Python Statistics.__repr__使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在Statistics.Statistics的用法示例。


在下文中一共展示了Statistics.__repr__方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: xrange

# 需要导入模块: from Statistics import Statistics [as 别名]
# 或者: from Statistics.Statistics import __repr__ [as 别名]

#.........这里部分代码省略.........
        """Initialize the multiprocessing interface. Create the process pool."""
        #Close the pool if it exists (we'll be creating a new one)
        self.cleanupMultiProcessing()

        if self.multiProcessing[0]:
            t1 = time.time()
            #Create the process pool with the # of processes
            num_proc = self.multiProcessing[2]
            if num_proc is None:
                self.proc_pool = Pool()
            elif num_proc > 0:
                self.proc_pool = Pool(processes=num_proc)
            else:
                self.proc_pool = Pool()
            print "Multiprocessing initialized in %03.3f sec; will use %d processors." % ( (time.time()-t1), num_proc )

   #---------------------------------------------------------------------------------
   def cleanupMultiProcessing(self):
       """Clean up process pools."""
       if not self.proc_pool is None:
            self.proc_pool.close()

   def setMinimax(self, minimax):
      """ Sets the population minimax

      Example:
         >>> pop.setMinimax(Consts.minimaxType["maximize"])
   
      :param minimax: the minimax type

      """
      self.minimax = minimax

   def __repr__(self):
      """ Returns the string representation of the population """
      ret =  "- GPopulation\n"
      ret += "\tPopulation Size:\t %d\n" % (self.popSize,)
      ret += "\tSort Type:\t\t %s\n" % (Consts.sortType.keys()[Consts.sortType.values().index(self.sortType)].capitalize(),)
      ret += "\tMinimax Type:\t\t %s\n" % (Consts.minimaxType.keys()[Consts.minimaxType.values().index(self.minimax)].capitalize(),)
      for slot in self.allSlots:
         ret+= "\t" + slot.__repr__()
      ret+="\n"
      ret+= self.stats.__repr__()
      return ret

   def __len__(self):
      """ Return the length of population """
      return len(self.internalPop)
      
   def __getitem__(self, key):
      """ Returns the specified individual from population """
      return self.internalPop[key]

   def __iter__(self):
      """ Returns the iterator of the population """
      return iter(self.internalPop)

   def __setitem__(self, key, value):
      """ Set an individual of population """
      self.internalPop[key] = value
      self.clearFlags()

   def clearFlags(self):
      """ Clear the sorted and statted internal flags """
      self.sorted = False
      self.statted = False
开发者ID:neutrons,项目名称:CrystalPlan,代码行数:70,代码来源:GPopulation.py

示例2: xrange

# 需要导入模块: from Statistics import Statistics [as 别名]
# 或者: from Statistics.Statistics import __repr__ [as 别名]
class GPopulation:
   """ GPopulation Class - The container for the population

   **Examples**
      Get the population from the :class:`GSimpleGA.GSimpleGA` (GA Engine) instance
         >>> pop = ga_engine.getPopulation()

      Get the best fitness individual
         >>> bestIndividual = pop.bestFitness()

      Get the best raw individual
         >>> bestIndividual = pop.bestRaw()

      Get the statistics from the :class:`Statistics.Statistics` instance
         >>> stats = pop.getStatistics()
         >>> print stats["rawMax"]
         10.4

      Iterate, get/set individuals
         >>> for ind in pop:
         >>>   print ind
         (...)
         
         >>> for i in xrange(len(pop)):
         >>>    print pop[i]
         (...)

         >>> pop[10] = newGenome
         >>> pop[10].fitness
         12.5

   :param genome: the :term:`Sample genome`

   """

   def __init__(self, genome):
      """ The GPopulation Class creator """

      logging.debug("New population instance, %s class genomes.", genome.__class__.__name__)
      self.oneSelfGenome = genome
      self.internalPop   = []
      self.popSize       = 0
      self.sortType      = Consts.CDefPopSortType
      self.sorted        = False
      self.minimax       = Consts.CDefPopMinimax
      self.scaleMethod   = FunctionSlot("Scale Method")
      self.scaleMethod.set(Consts.CDefPopScale)
      self.allSlots      = [self.scaleMethod]

      # Statistics
      self.statted = False
      self.stats   = Statistics()

   def setMinimax(minimax):
      """ Sets the population minimax

      Example:
         >>> pop.setMinimax(Consts.minimaxType["maximize"])
   
      :param minimax: the minimax type

      """
      self.minimax = minimax

   def __repr__(self):
      """ Returns the string representation of the population """
      ret =  "- GPopulation\n"
      ret += "\tPopulation Size:\t %d\n" % (self.popSize,)
      ret += "\tSort Type:\t\t %s\n" % (Consts.sortType.keys()[Consts.sortType.values().index(self.sortType)].capitalize(),)
      ret += "\tMinimax Type:\t\t %s\n" % (Consts.minimaxType.keys()[Consts.minimaxType.values().index(self.minimax)].capitalize(),)
      for slot in self.allSlots:
         ret+= "\t" + slot.__repr__()
      ret+="\n"
      ret+= self.stats.__repr__()
      return ret

   def __len__(self):
      """ Return the length of population """
      return len(self.internalPop)
      
   def __getitem__(self, key):
      """ Returns the specified individual from population """
      return self.internalPop[key]

   def __iter__(self):
      """ Returns the iterator of the population """
      return iter(self.internalPop)

   def __setitem__(self, key, value):
      """ Set an individual of population """
      self.internalPop[key] = value
      self.__clear_flags()

   def __clear_flags(self):
      self.sorted = False
      self.statted = False

   def getStatistics(self):
      """ Return a Statistics class for statistics

#.........这里部分代码省略.........
开发者ID:abrahamdone,项目名称:cs5600ai,代码行数:103,代码来源:GPopulation.py


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