original_docstring: 
          If denoising_label is the target label that we are finding.
          The denoising_sample and denoising_label will be accepted and
          True will be returned.
          Else the denoising_sample will be stored in __bad_denoising_example.
          Args:
              denoising_sample: numpy.ndarray.
              denoising_label: int.
  
          Returns:
              bool.
          
docstring: If denoising_label is the target label that we are finding.
  The denoising_sample and denoising_label will be accepted and
  True will be returned.
  Else the denoising_sample will be stored in __bad_denoising_example.
docstring_tokens: If denoising_label is the target label that we are finding . The denoising_sample and denoising_label will be accepted and True will be returned . Else the denoising_sample will be stored in __bad_denoising_example .
code: def try_accept_the_example(self, denoising_sample, denoising_label):
          """
          If denoising_label is the target label that we are finding.
          The denoising_sample and denoising_label will be accepted and
          True will be returned.
          Else the denoising_sample will be stored in __bad_denoising_example.
          Args:
              denoising_sample: numpy.ndarray.
              denoising_label: int.
  
          Returns:
              bool.
          """
          assert isinstance(denoising_sample, np.ndarray)
          assert isinstance(denoising_label, int) or isinstance(denoising_label, np.int64)
          # assert self.input.shape == denoising_sample.shape
  
          ok = self._is_successful(denoising_label)
          if ok:
              self.__denoising_sample = denoising_sample
              self.denoising_label = denoising_label
          else:
              self.__bad_denoising_example = denoising_sample
  
          return ok
code_tokens: def try_accept_the_example ( self , denoising_sample , denoising_label ) : assert isinstance ( denoising_sample , np . ndarray ) assert isinstance ( denoising_label , int ) or isinstance ( denoising_label , np . int64 ) ok = self . _is_successful ( denoising_label ) if ok : self . __denoising_sample = denoising_sample self . denoising_label = denoising_label else : self . __bad_denoising_example = denoising_sample return ok
short_docstring: If denoising_label is the target label that we are finding.
short_docstring_tokens: If denoising_label is the target label that we are finding .
comment: """
          If denoising_label is the target label that we are finding.
          The denoising_sample and denoising_label will be accepted and
          True will be returned.
          Else the denoising_sample will be stored in __bad_denoising_example.
          Args:
              denoising_sample: numpy.ndarray.
              denoising_label: int.
  
          Returns:
              bool.
          """$SEP$# assert self.input.shape == denoising_sample.shape