


"""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}      )








"""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      )




