


import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def     UpperCAmelCase_ (							__snake_case						)					->      Tuple:







 """simple docstring"""


 return EnvironmentCommand()







class 				lowerCamelCase__       (	lowerCAmelCase):





     @staticmethod
     def 					__A (UpperCAmelCase	)					->       int:
      _lowercase											=parser.add_parser('''env'''		,					help='''Print relevant system environment info.'''	)
      download_parser.set_defaults(func=UpperCAmelCase	)





     def 					__A (self	)					->       Union[str, Any]:
      _lowercase											={
          '''`datasets` version''': version,
          '''Platform''': platform.platform(),
          '''Python version''': platform.python_version(),
          '''Huggingface_hub version''': huggingface_hub.__version__,
          '''PyArrow version''': pyarrow.__version__,
          '''Pandas version''': pandas.__version__,
      }

      print('''\nCopy-and-paste the text below in your GitHub issue.\n'''	)
      print(self.format_dict(UpperCAmelCase	)	)

      return info





     @staticmethod
     def 					__A (UpperCAmelCase	)					->       Dict:
      return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]	) + "\n"





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


UpperCAmelCase__            =							logging.get_logger(__name__)

UpperCAmelCase__            =							{
    '''bert-base-uncased''': '''https://huggingface.co/bert-base-uncased/resolve/main/config.json''',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}







class 				lowerCamelCase__       (	lowerCAmelCase):
     SCREAMING_SNAKE_CASE__				      =      '''qdqbert'''





     def __init__(self		,					UpperCAmelCase=3_0_5_2_2		,					UpperCAmelCase=7_6_8		,					UpperCAmelCase=1_2		,					UpperCAmelCase=1_2		,					UpperCAmelCase=3_0_7_2		,					UpperCAmelCase="gelu"		,					UpperCAmelCase=0.1		,					UpperCAmelCase=0.1		,					UpperCAmelCase=5_1_2		,					UpperCAmelCase=2		,					UpperCAmelCase=0.02		,					UpperCAmelCase=1e-12		,					UpperCAmelCase=True		,					UpperCAmelCase=1		,					UpperCAmelCase=0		,					UpperCAmelCase=2		,					**UpperCAmelCase		,					)					->       str:
      super().__init__(pad_token_id=UpperCAmelCase		,					bos_token_id=UpperCAmelCase		,					eos_token_id=UpperCAmelCase		,					**UpperCAmelCase	)

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

