





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)

UpperCAmelCase_											=  logging.getLogger()
def     A__					(						)     ->     List[str]:






   """simple docstring"""







   _UpperCAmelCase											=      argparse.ArgumentParser()
   parser.add_argument('''-f'''	)
   _UpperCAmelCase											=      parser.parse_args()
   return args.f




class  __UpperCamelCase						(       A__						):





     def 		UpperCamelCase(    self				):
        _UpperCAmelCase											=      logging.StreamHandler(sys.stdout				)
        logger.addHandler(_UpperCamelCase				)

        _UpperCAmelCase											=      self.get_auto_remove_tmp_dir()
        _UpperCAmelCase											=      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(_UpperCamelCase							,       '''argv'''							,       _UpperCamelCase				):
           _UpperCAmelCase											=      run_glue_with_pabee.main()
           for value in result.values():
              self.assertGreaterEqual(_UpperCamelCase							,       0.75				)






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_											=  logging.get_logger(__name__)

UpperCAmelCase_											=  {
    "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/config.json",
    "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json",
    "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/config.json",
    "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}




class  __UpperCamelCase						(       A__						):
     __A  :     Tuple            =      """splinter"""





     def __init__(    self							,       _UpperCamelCase=30522							,       _UpperCamelCase=768							,       _UpperCamelCase=12							,       _UpperCamelCase=12							,       _UpperCamelCase=3072							,       _UpperCamelCase="gelu"							,       _UpperCamelCase=0.1							,       _UpperCamelCase=0.1							,       _UpperCamelCase=512							,       _UpperCamelCase=2							,       _UpperCamelCase=0.02							,       _UpperCamelCase=1e-12							,       _UpperCamelCase=True							,       _UpperCamelCase=0							,       _UpperCamelCase=104							,       **_UpperCamelCase							,       ):
        super().__init__(pad_token_id=_UpperCamelCase							,       **_UpperCamelCase				)

        _UpperCAmelCase											=      vocab_size
        _UpperCAmelCase											=      max_position_embeddings
        _UpperCAmelCase											=      hidden_size
        _UpperCAmelCase											=      num_hidden_layers
        _UpperCAmelCase											=      num_attention_heads
        _UpperCAmelCase											=      intermediate_size
        _UpperCAmelCase											=      hidden_act
        _UpperCAmelCase											=      hidden_dropout_prob
        _UpperCAmelCase											=      attention_probs_dropout_prob
        _UpperCAmelCase											=      initializer_range
        _UpperCAmelCase											=      type_vocab_size
        _UpperCAmelCase											=      layer_norm_eps
        _UpperCAmelCase											=      use_cache
        _UpperCAmelCase											=      question_token_id