



"""simple docstring"""







UpperCAmelCase:  Optional[Any]			     =				{
    """0000""": """0""",
    """0001""": """1""",
    """0010""": """2""",
    """0011""": """3""",
    """0100""": """4""",
    """0101""": """5""",
    """0110""": """6""",
    """0111""": """7""",
    """1000""": """8""",
    """1001""": """9""",
    """1010""": """a""",
    """1011""": """b""",
    """1100""": """c""",
    """1101""": """d""",
    """1110""": """e""",
    """1111""": """f""",
}


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase      ):
		_lowercase				: Any     =   str(__UpperCAmelCase      ).strip()

		# Exceptions
		if not binary_str:
				raise ValueError("""Empty string was passed to the function"""      )
		_lowercase				: Tuple     =   binary_str[0] == """-"""
		_lowercase				: List[str]     =   binary_str[1:] if is_negative else binary_str
		if not all(char in """01""" for char in binary_str      ):
				raise ValueError("""Non-binary value was passed to the function"""      )

		_lowercase				: Any     =   (
		    """0""" * (4 * (divmod(len(__UpperCAmelCase      )   ,				4      )[0] + 1) - len(__UpperCAmelCase      )) + binary_str
		)

		_lowercase				: Union[str, Any]     =   []
		for x in range(0   ,				len(__UpperCAmelCase      )   ,				4      ):
				hexadecimal.append(BITS_TO_HEX[binary_str[x : x + 4]]      )
		_lowercase				: str     =   """0x""" + """""".join(__UpperCAmelCase      )

		return "-" + hexadecimal_str if is_negative else hexadecimal_str


if __name__ == "__main__":
		from doctest import testmod

		testmod()






'''simple docstring'''

from typing import List, Union

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


lowerCAmelCase_     =      logging.get_logger(__name__)

lowerCAmelCase_     =      {
    "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 lowerCamelCase   (    __lowerCAmelCase				):
				snake_case_							     = '''led'''
				snake_case_							     = {
				    '''num_attention_heads''': '''encoder_attention_heads''',
				    '''hidden_size''': '''d_model''',
				    '''attention_probs_dropout_prob''': '''attention_dropout''',
				    '''initializer_range''': '''init_std''',
				}

				def __init__(       self,						lowercase_=50265,						lowercase_=16384,						lowercase_=1024,						lowercase_=12,						lowercase_=4096,						lowercase_=16,						lowercase_=12,						lowercase_=4096,						lowercase_=16,						lowercase_=0.0,						lowercase_=0.0,						lowercase_=True,						lowercase_=True,						lowercase_="gelu",						lowercase_=1024,						lowercase_=0.1,						lowercase_=0.0,						lowercase_=0.0,						lowercase_=0.02,						lowercase_=2,						lowercase_=0.0,						lowercase_=1,						lowercase_=0,						lowercase_=2,						lowercase_ = 512,						**lowercase_,						)    ->							Union[str, Any]:
					snake_case							=					vocab_size
					snake_case							=					max_encoder_position_embeddings
					snake_case							=					max_decoder_position_embeddings
					snake_case							=					d_model
					snake_case							=					encoder_ffn_dim
					snake_case							=					encoder_layers
					snake_case							=					encoder_attention_heads
					snake_case							=					decoder_ffn_dim
					snake_case							=					decoder_layers
					snake_case							=					decoder_attention_heads
					snake_case							=					dropout
					snake_case							=					attention_dropout
					snake_case							=					activation_dropout
					snake_case							=					activation_function
					snake_case							=					init_std
					snake_case							=					encoder_layerdrop
					snake_case							=					decoder_layerdrop
					snake_case							=					classifier_dropout
					snake_case							=					use_cache
					snake_case							=					encoder_layers
					snake_case							=					attention_window

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





