code: 
  
  
  """simple docstring"""
  
  
  
  
  import abc
  import copy
  import dataclasses
  from dataclasses import dataclass
  from typing import ClassVar, Dict, Type, TypeVar
  
  from ..features import Features
  
  
  __magic_name__	:   Dict          =							TypeVar('T', bound='TaskTemplate')
  
  
  
  
  @dataclass(frozen=lowerCamelCase     )
  class  __snake_case      (abc.ABC     ):
  							# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
  							__a				   =					42
  							__a				   =					42
  							__a				   =					42
  
  
  
  
  							def      __a      (    self:						T    ,       A_:						Features      ):
  										return copy.deepcopy(self      )
  
  
  
  
  							@property
  							def      __a      (    self:						List[Any]      ):
  										return Features(**self.input_schema    ,       **self.label_schema      )
  
  
  
  
  							@property
  							@abc.abstractmethod
  							def      __a      (    self:						Any      ):
  										raise NotImplementedError
  
  
  
  
  							@classmethod
  							def      __a      (    cls:						Type[T]    ,       A_:						dict      ):
  										__lowerCamelCase        =			{f.name for f in dataclasses.fields(cls      )}
  										return cls(**{k: v for k, v in template_dict.items() if k in field_names}      )
  
  
  
  
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import argparse
  import logging
  import sys
  from unittest.mock import patch
  
  import run_glue_with_pabee
  
  from transformers.testing_utils import TestCasePlus
  
  
  logging.basicConfig(level=logging.DEBUG)
  
  __magic_name__	:   Optional[int]          =							logging.getLogger()
  
  
  
  
  
  def 			a_   (  ):
  			__lowerCamelCase        =			argparse.ArgumentParser()
  			parser.add_argument("""-f"""    )
  			__lowerCamelCase        =			parser.parse_args()
  			return args.f
  
  
  
  
  class  __snake_case      (lowerCamelCase     ):
  
  
  
  
  							def      __a      (    self:						Optional[int]      ):
  										__lowerCamelCase        =			logging.StreamHandler(sys.stdout      )
  										logger.addHandler(A_      )
  
  										__lowerCamelCase        =			self.get_auto_remove_tmp_dir()
  										__lowerCamelCase        =			f'\n            run_glue_with_pabee.py\n            --model_type albert\n            --model_name_or_path albert-base-v2\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --task_name mrpc\n            --do_train\n            --do_eval\n            --per_gpu_train_batch_size=2\n            --per_gpu_eval_batch_size=1\n            --learning_rate=2e-5\n            --max_steps=50\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            '.split()
  
  										with patch.object(A_    ,       """argv"""    ,       A_      ):
  													__lowerCamelCase        =			run_glue_with_pabee.main()
  													for value in result.values():
  																self.assertGreaterEqual(A_    ,       0.75      )
  
  
  
  
  