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offline_tasks/deepwalk/alias.py 1.23 KB
1088c261   tangwang   mv files
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  import numpy as np
  
  
  def create_alias_table(area_ratio):
      """
  
      :param area_ratio: sum(area_ratio)=1
      :return: accept,alias
      """
      l = len(area_ratio)
      area_ratio = [prop * l for prop in area_ratio]
      accept, alias = [0] * l, [0] * l
      small, large = [], []
  
      for i, prob in enumerate(area_ratio):
          if prob < 1.0:
              small.append(i)
          else:
              large.append(i)
  
      while small and large:
          small_idx, large_idx = small.pop(), large.pop()
          accept[small_idx] = area_ratio[small_idx]
          alias[small_idx] = large_idx
          area_ratio[large_idx] = area_ratio[large_idx] - \
              (1 - area_ratio[small_idx])
          if area_ratio[large_idx] < 1.0:
              small.append(large_idx)
          else:
              large.append(large_idx)
  
      while large:
          large_idx = large.pop()
          accept[large_idx] = 1
      while small:
          small_idx = small.pop()
          accept[small_idx] = 1
  
      return accept, alias
  
  
  def alias_sample(accept, alias):
      """
  
      :param accept:
      :param alias:
      :return: sample index
      """
      N = len(accept)
      i = int(np.random.random()*N)
      r = np.random.random()
      if r < accept[i]:
          return i
      else:
          return alias[i]