

'''simple docstring'''







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


lowerCAmelCase_    	=							logging.get_logger(__name__)

lowerCAmelCase_    	=							{
    '''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   _snake_case( UpperCAmelCase			):
 __snake_case:       Optional[Any]									=				'''qdqbert'''






 def __init__(self					:     List[Any]						,		a					:     Optional[Any]=3_05_22						,		a					:     int=7_68						,		a					:     str=12						,		a					:     Optional[Any]=12						,		a					:     List[Any]=30_72						,		a					:     str="gelu"						,		a					:     int=0.1						,		a					:     Optional[int]=0.1						,		a					:     Any=5_12						,		a					:     int=2						,		a					:     int=0.02						,		a					:     Union[str, Any]=1e-12						,		a					:     Optional[Any]=True						,		a					:     Any=1						,		a					:     Tuple=0						,		a					:     Optional[int]=2						,		**a					:     Optional[Any]						,		)					->      List[Any]:






    """simple docstring"""


    super().__init__(pad_token_id=a						,		bos_token_id=a						,		eos_token_id=a						,		**a						)

    A__         =    vocab_size
    A__         =    max_position_embeddings
    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__         =    initializer_range
    A__         =    type_vocab_size
    A__         =    layer_norm_eps
    A__         =    use_cache








'''simple docstring'''







import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


lowerCAmelCase_    	=							2 << 2_0  # 2mb
lowerCAmelCase_    	=							get_logger(__name__)

class   _snake_case( UpperCAmelCase			):






 def 	_UpperCamelCase   (self					:     Optional[int]						)					->      Optional[Any]:






    """simple docstring"""


    A__         =    self._options.get_all_options().get('runner'						)
    return runner in [None, "DirectRunner", "PortableRunner"]







def 	_A			(   UpperCAmelCase			,UpperCAmelCase			,UpperCAmelCase=False	):






   '''simple docstring'''







   A__         =    FileSystems
   if fs.exists(UpperCAmelCase	):
      if force_upload:
         logger.info(F"""Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."""	)
      else:
         logger.info(F"""Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."""	)
         return
   with fs.create(UpperCAmelCase	) as remote_file:
      with open(UpperCAmelCase			,'rb'	) as local_file:
         A__         =    local_file.read(UpperCAmelCase	)
         while chunk:
            remote_file.write(UpperCAmelCase	)
            A__         =    local_file.read(UpperCAmelCase	)







def 	_A			(   UpperCAmelCase			,UpperCAmelCase			,UpperCAmelCase=False	):






   '''simple docstring'''







   A__         =    FileSystems
   if os.path.exists(UpperCAmelCase	):
      if force_download:
         logger.info(F"""Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."""	)
      else:
         logger.info(F"""Local path already exist: {remote_file_path}. Skipping it as force_upload=False."""	)
         return
   with fs.open(UpperCAmelCase	) as remote_file:
      with open(UpperCAmelCase			,'wb'	) as local_file:
         A__         =    remote_file.read(UpperCAmelCase	)
         while chunk:
            local_file.write(UpperCAmelCase	)
            A__         =    remote_file.read(UpperCAmelCase	)


