


"""simple docstring"""


from typing import List, Union

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


a_											=     logging.get_logger(__name__)

a_											=     {
    "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/config.json",
    # See all LED models at https://huggingface.co/models?filter=led
}
class snake_case   (	_UpperCamelCase):
		__UpperCamelCase							     =      'led'
		__UpperCamelCase							     =      {
		    'num_attention_heads': 'encoder_attention_heads',
		    'hidden_size': 'd_model',
		    'attention_probs_dropout_prob': 'attention_dropout',
		    'initializer_range': 'init_std',
		}







		def __init__(       self   :							Optional[int]     , a__   :							Optional[int]=5_02_65     , a__   :							Optional[Any]=1_63_84     , a__   :							List[Any]=10_24     , a__   :							List[Any]=12     , a__   :							Union[str, Any]=40_96     , a__   :							Tuple=16     , a__   :							Dict=12     , a__   :							Any=40_96     , a__   :							str=16     , a__   :							Any=0.0     , a__   :							Any=0.0     , a__   :							List[str]=True     , a__   :							Union[str, Any]=True     , a__   :							List[Any]="gelu"     , a__   :							Optional[Any]=10_24     , a__   :							Optional[int]=0.1     , a__   :							Union[str, Any]=0.0     , a__   :							Dict=0.0     , a__   :							str=0.0_2     , a__   :							List[str]=2     , a__   :							List[Any]=0.0     , a__   :							Union[str, Any]=1     , a__   :							Tuple=0     , a__   :							Optional[Any]=2     , a__   :							Union[List[int], int] = 5_12     , **a__   :							Optional[Any]     , )							->    Tuple:





						'''simple docstring'''







						_A       	=      vocab_size
						_A       	=      max_encoder_position_embeddings
						_A       	=      max_decoder_position_embeddings
						_A       	=      d_model
						_A       	=      encoder_ffn_dim
						_A       	=      encoder_layers
						_A       	=      encoder_attention_heads
						_A       	=      decoder_ffn_dim
						_A       	=      decoder_layers
						_A       	=      decoder_attention_heads
						_A       	=      dropout
						_A       	=      attention_dropout
						_A       	=      activation_dropout
						_A       	=      activation_function
						_A       	=      init_std
						_A       	=      encoder_layerdrop
						_A       	=      decoder_layerdrop
						_A       	=      classifier_dropout
						_A       	=      use_cache
						_A       	=      encoder_layers
						_A       	=      attention_window

						super().__init__(
						    pad_token_id=a__     , bos_token_id=a__     , eos_token_id=a__     , is_encoder_decoder=a__     , decoder_start_token_id=a__     , **a__     , )



"""simple docstring"""


import os

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

from .logging import get_logger


a_											=     2 << 20  # 2mb
a_											=     get_logger(__name__)
class snake_case   (	_UpperCamelCase):







		def 			a_			(       self   :							Tuple		)							->    Optional[int]:





						'''simple docstring'''







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






def   a__			(					__lowercase  ,      __lowercase  ,      __lowercase=False )						->						Any:
				_A       	=      FileSystems
				if fs.exists(__lowercase ):
								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(__lowercase ) as remote_file:
								with open(__lowercase  ,      "rb" ) as local_file:
												_A       	=      local_file.read(__lowercase )
												while chunk:
																remote_file.write(__lowercase )
																_A       	=      local_file.read(__lowercase )






def   a__			(					__lowercase  ,      __lowercase  ,      __lowercase=False )						->						Union[str, Any]:
				_A       	=      FileSystems
				if os.path.exists(__lowercase ):
								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(__lowercase ) as remote_file:
								with open(__lowercase  ,      "wb" ) as local_file:
												_A       	=      remote_file.read(__lowercase )
												while chunk:
																local_file.write(__lowercase )
																_A       	=      remote_file.read(__lowercase )