docstr: This function returns the project cost based on various parameters.
  
  Returns:
    The `get_project_cost` function is being called with several arguments and its return value is
  being returned by the `get_project_cost` method. The exact return value depends on the
  implementation of the `get_project_cost` function.
docstr_tok: ["This","function","returns","the","project","cost","based","on","various","parameters",".","Returns",":","The","`","get_project_cost","`","function","is","being","called","with","several","arguments","and","its","return","value","is","being","returned","by","the","`","get_project_cost","`","method",".","The","exact","return","value","depends","on","the","implementation","of","the","`","get_project_cost","`","function","."]
code: def get_project_cost(self):
      """
      This function returns the project cost based on various parameters.
  
      Returns:
        The `get_project_cost` function is being called with several arguments and its return value is
      being returned by the `get_project_cost` method. The exact return value depends on the
      implementation of the `get_project_cost` function.
      """
      from autotrain.utils import get_project_cost
  
      return get_project_cost(
          username=self.AUTOTRAIN_USERNAME,
          token=self.HF_TOKEN,
          task=self.task,
          num_samples=self._num_samples,
          num_models=self.trainer_kwargs["autotrain"][0]["num_models"]
          if self._model.lower() == "autotrain"
          else len(self.trainer_kwargs["hub_model"]),
      )
  
imports: import logging
  import os
  from typing import List, Optional, Union
  from uuid import uuid4
  from datasets import DatasetDict
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.base import ArgillaTrainerSkeleton
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 2 for calling the AutoTrainMixin obj's underlying member method code with example usage: obj.get_project_cost() and returns: get_project_cost