




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCAmelCase						:							str			     =						logging.get_logger(__name__)

__lowerCAmelCase						:							Tuple			     =						{
    'google/electra-small-generator': 'https://huggingface.co/google/electra-small-generator/resolve/main/config.json',
    'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/config.json',
    'google/electra-large-generator': 'https://huggingface.co/google/electra-large-generator/resolve/main/config.json',
    'google/electra-small-discriminator': (
        'https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json'
    ),
    'google/electra-base-discriminator': (
        'https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json'
    ),
    'google/electra-large-discriminator': (
        'https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json'
    ),
}




class        snake_case__				(UpperCAmelCase__  ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			:				List[Any]									=   """electra"""





				def __init__( self							:	Dict   , __lowerCamelCase							:	int=3_05_22   , __lowerCamelCase							:	Tuple=1_28   , __lowerCamelCase							:	Dict=2_56   , __lowerCamelCase							:	int=12   , __lowerCamelCase							:	Optional[int]=4   , __lowerCamelCase							:	Union[str, Any]=10_24   , __lowerCamelCase							:	Union[str, Any]="gelu"   , __lowerCamelCase							:	Optional[int]=0.1   , __lowerCamelCase							:	int=0.1   , __lowerCamelCase							:	Union[str, Any]=5_12   , __lowerCamelCase							:	Union[str, Any]=2   , __lowerCamelCase							:	int=0.02   , __lowerCamelCase							:	Tuple=1e-12   , __lowerCamelCase							:	Optional[Any]="first"   , __lowerCamelCase							:	Tuple=True   , __lowerCamelCase							:	Union[str, Any]="gelu"   , __lowerCamelCase							:	Optional[int]=0.1   , __lowerCamelCase							:	Optional[int]=0   , __lowerCamelCase							:	Union[str, Any]="absolute"   , __lowerCamelCase							:	int=True   , __lowerCamelCase							:	Optional[Any]=None   , **__lowerCamelCase							:	Tuple   , )   ->	int:
							super().__init__(pad_token_id=__lowerCamelCase   , **__lowerCamelCase				)

							a       =     vocab_size
							a       =     embedding_size
							a       =     hidden_size
							a       =     num_hidden_layers
							a       =     num_attention_heads
							a       =     intermediate_size
							a       =     hidden_act
							a       =     hidden_dropout_prob
							a       =     attention_probs_dropout_prob
							a       =     max_position_embeddings
							a       =     type_vocab_size
							a       =     initializer_range
							a       =     layer_norm_eps

							a       =     summary_type
							a       =     summary_use_proj
							a       =     summary_activation
							a       =     summary_last_dropout
							a       =     position_embedding_type
							a       =     use_cache
							a       =     classifier_dropout




class        snake_case__				(UpperCAmelCase__  ):
				"""simple docstring"""



				@property
				def 				__UpperCAmelCase				( self							:	Dict				)   ->	Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
										a       =     {0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
										a       =     {0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ("input_ids", dynamic_axis),
							        ("attention_mask", dynamic_axis),
							        ("token_type_ids", dynamic_axis),
							    ]				)








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)

__snake_case					:							List[Any]           =							logging.getLogger()




def 		A						(  ):




			"""simple docstring"""


			UpperCAmelCase__		:Any 		=    argparse.ArgumentParser()
			parser.add_argument('-f'							)
			UpperCAmelCase__		:List[Any] 		=    parser.parse_args()
			return args.f




class 	UpperCamelCase__       (  UpperCAmelCase__):

						'''simple docstring'''



						def    A__       (  self	)  ->str:
									UpperCAmelCase__		:Optional[int] 		=    logging.StreamHandler(sys.stdout	)
									logger.addHandler(A	)

									UpperCAmelCase__		:List[str] 		=    self.get_auto_remove_tmp_dir()
									UpperCAmelCase__		:List[str] 		=    F"""
            run_glue_with_pabee.py
            --model_type albert
            --model_name_or_path albert-base-v2
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --task_name mrpc
            --do_train
            --do_eval
            --per_gpu_train_batch_size=2
            --per_gpu_eval_batch_size=1
            --learning_rate=2e-5
            --max_steps=50
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            """.split()

									with patch.object(A  , 'argv'  , A	):
												UpperCAmelCase__		:Any 		=    run_glue_with_pabee.main()
												for value in result.values():
															self.assertGreaterEqual(A  , 0.75	)





