text: """Moses Organ implementation."""
  
  import argparse
  
  from guacamol_baselines.moses_baselines.organ_distribution_learning import (
      OrganGenerator,
  )
  
  
  class Organ:
      def __init__(
          self,
          model_path: str,
          model_config_path: str,
          vocab_path: str,
          n_samples: int,
          n_batch: int,
          max_len: int,
      ):
          """Initialize Organ.
  
          Args:
              model_path: path from where to load the model
              model_config_path: path from where to load the model config
              vocab_path: path from where to load the vocab
              n_samples: Number of samples to sample
              n_batch: Size of the batch
              max_len: Max length of SMILES
          """
          self.parser = argparse.ArgumentParser()
          self.parser.add_argument("--model_load", default=model_path)
          self.parser.add_argument("--config_load", default=model_config_path)
          self.parser.add_argument("--vocab_load", default=vocab_path)
          self.parser.add_argument("--n_samples", default=n_samples)
          self.parser.add_argument("--n_batch", default=n_batch)
          self.parser.add_argument("--max_len", default=max_len)
          self.parser.add_argument("--device", default="cpu")
          self.config = self.parser.parse_known_args()[0]
  
      def get_generator(self) -> OrganGenerator:
          """
          used for creating an instance of the OrganGenerator
  
          Returns:
              An instance of OrganGenerator
          """
          optimiser = OrganGenerator(self.config)
          return optimiser
  