





from typing import List, Union

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


_A				:							Optional[Any]							= logging.get_logger(__name__)

_A				:							str							= {
    """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  (     __SCREAMING_SNAKE_CASE						):


    '''simple docstring'''







    lowerCamelCase__						:		List[Any]							=  """led"""
    lowerCamelCase__						:		Union[str, Any]							=  {
        """num_attention_heads""": """encoder_attention_heads""",
        """hidden_size""": """d_model""",
        """attention_probs_dropout_prob""": """attention_dropout""",
        """initializer_range""": """init_std""",
    }



    def __init__(					self      ,							A_=5_02_65      ,							A_=1_63_84      ,							A_=10_24      ,							A_=12      ,							A_=40_96      ,							A_=16      ,							A_=12      ,							A_=40_96      ,							A_=16      ,							A_=0.0      ,							A_=0.0      ,							A_=True      ,							A_=True      ,							A_="gelu"      ,							A_=10_24      ,							A_=0.1      ,							A_=0.0      ,							A_=0.0      ,							A_=0.02      ,							A_=2      ,							A_=0.0      ,							A_=1      ,							A_=0      ,							A_=2      ,							A_ = 5_12      ,							**A_      ,							):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= vocab_size
        SCREAMING_SNAKE_CASE__       							= max_encoder_position_embeddings
        SCREAMING_SNAKE_CASE__       							= max_decoder_position_embeddings
        SCREAMING_SNAKE_CASE__       							= d_model
        SCREAMING_SNAKE_CASE__       							= encoder_ffn_dim
        SCREAMING_SNAKE_CASE__       							= encoder_layers
        SCREAMING_SNAKE_CASE__       							= encoder_attention_heads
        SCREAMING_SNAKE_CASE__       							= decoder_ffn_dim
        SCREAMING_SNAKE_CASE__       							= decoder_layers
        SCREAMING_SNAKE_CASE__       							= decoder_attention_heads
        SCREAMING_SNAKE_CASE__       							= dropout
        SCREAMING_SNAKE_CASE__       							= attention_dropout
        SCREAMING_SNAKE_CASE__       							= activation_dropout
        SCREAMING_SNAKE_CASE__       							= activation_function
        SCREAMING_SNAKE_CASE__       							= init_std
        SCREAMING_SNAKE_CASE__       							= encoder_layerdrop
        SCREAMING_SNAKE_CASE__       							= decoder_layerdrop
        SCREAMING_SNAKE_CASE__       							= classifier_dropout
        SCREAMING_SNAKE_CASE__       							= use_cache
        SCREAMING_SNAKE_CASE__       							= encoder_layers
        SCREAMING_SNAKE_CASE__       							= 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_      ,							)







import numpy as np

_A				:							List[Any]							= [
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]



class 				__snake_case  :


    '''simple docstring'''







    def __init__(					self    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= np.array(A_    )



    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__							,		SCREAMING_SNAKE_CASE__       							= np.where(letter == self.SQUARE    )
        SCREAMING_SNAKE_CASE__       							= np.concatenate([indexa + 1, indexa + 1]    )
        return indexes



    def    lowercase_				(					self      ,							A_      ,							A_    ):





        '''simple docstring'''

        return self.SQUARE[indexa - 1, indexa - 1]



    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= message.lower()
        SCREAMING_SNAKE_CASE__       							= message.replace('''j'''      ,							'''i'''    )

        SCREAMING_SNAKE_CASE__       							= ''''''
        for letter_index in range(len(A_    )    ):
            if message[letter_index] != " ":
                SCREAMING_SNAKE_CASE__       							= self.letter_to_numbers(message[letter_index]    )
                SCREAMING_SNAKE_CASE__       							= encoded_message + str(numbers[0]    ) + str(numbers[1]    )
            elif message[letter_index] == " ":
                SCREAMING_SNAKE_CASE__       							= encoded_message + ''' '''

        return encoded_message




    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= message.replace(''' '''      ,							'''  '''    )
        SCREAMING_SNAKE_CASE__       							= ''''''
        for numbers_index in range(int(len(A_    ) / 2    )    ):
            if message[numbers_index * 2] != " ":
                SCREAMING_SNAKE_CASE__       							= message[numbers_index * 2]
                SCREAMING_SNAKE_CASE__       							= message[numbers_index * 2 + 1]

                SCREAMING_SNAKE_CASE__       							= self.numbers_to_letter(int(A_    )      ,							int(A_    )    )
                SCREAMING_SNAKE_CASE__       							= decoded_message + letter
            elif message[numbers_index * 2] == " ":
                SCREAMING_SNAKE_CASE__       							= decoded_message + ''' '''

        return decoded_message
