a5c5b1615de24e444c485568d2a0d3432ba0bf14,deeplearning/clgen/samplers.py,Sampler,SampleIsComplete,#Sampler#Any#,59

Before Change

        return True
    if self.has_symmetrical_tokens:
      left_token_count = sample_in_progress.count(self.symmetrical_token_left)
      right_token_count = sample_in_progress.count(self.symmetrical_token_left)
      if left_token_count and (left_token_count - right_token_count == 0):
        return True
    return False

After Change

    Returns:
      True if the sample is "complete", else False to continue sampling.
    
    return any(t.SampleIsComplete(sample_in_progress) for t in self.terminators)

  @staticmethod
  def _ComputeHash(config: sampler_pb2.Sampler) -> str:

Instances