code: def generate(self):
          '''
          Generate noise samples.
          
          Returns:
              `np.ndarray` of samples.
          '''
          generated_arr = np.random.uniform(
              low=0.1,
              high=0.9,
              size=((self.__batch_size, self.__seq_len, self.__dim))
          )
  
          if self.noise_sampler is not None:
              self.noise_sampler.output_shape = generated_arr.shape
              generated_arr += self.noise_sampler.generate()
  
          return generated_arf generate(self):
          '''
          Generate noise samples.
          
          Returns:
              `np.ndarray` of samples.
          '''
          generated_arr = np.random.uniform(
              low=0.1,
              high=0.9,
              size=((self.__batch_size, self.__seq_len, self.__dim))
          )
  
          if self.noise_sampler is not None:
              self.noise_sampler.output_shape = generated_arr.shape
              generated_arr += self.noise_sampler.generate()
  
          return generated_arr
docs: Generate noise samples.
          
          Returns:
              `np.ndarray` of samples.