




'''simple docstring'''
import copy

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


A				: Union[str, Any]					      =			logging.get_logger(__name__)

A				: Union[str, Any]					      =			{}






class 			SCREAMING_SNAKE_CASE(							__A	):
       snake_case_					:	int       =   """fsmt_decoder"""

       def __init__(       self   ,						lowerCamelCase__=0   ,						lowerCamelCase__=0	)       ->   int:

           """simple docstring"""



           super().__init__()
           __lowercase     							=		vocab_size
           __lowercase     							=		bos_token_id






class 			SCREAMING_SNAKE_CASE(							__A	):
       snake_case_					:	List[str]       =   """fsmt"""
       snake_case_					:	Any       =   {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}

       def __init__(       self   ,						lowerCamelCase__=["en", "de"]   ,						lowerCamelCase__=4_2024   ,						lowerCamelCase__=4_2024   ,						lowerCamelCase__="relu"   ,						lowerCamelCase__=1024   ,						lowerCamelCase__=200   ,						lowerCamelCase__=1024   ,						lowerCamelCase__=4096   ,						lowerCamelCase__=12   ,						lowerCamelCase__=16   ,						lowerCamelCase__=0.0   ,						lowerCamelCase__=4096   ,						lowerCamelCase__=12   ,						lowerCamelCase__=16   ,						lowerCamelCase__=0.0   ,						lowerCamelCase__=0.0   ,						lowerCamelCase__=0.1   ,						lowerCamelCase__=0.0   ,						lowerCamelCase__=0.02   ,						lowerCamelCase__=2   ,						lowerCamelCase__=True   ,						lowerCamelCase__=True   ,						lowerCamelCase__=False   ,						lowerCamelCase__=5   ,						lowerCamelCase__=1.0   ,						lowerCamelCase__=False   ,						lowerCamelCase__=True   ,						lowerCamelCase__=1   ,						lowerCamelCase__=0   ,						lowerCamelCase__=2   ,						lowerCamelCase__=2   ,						**lowerCamelCase__   ,						)       ->   Union[str, Any]:

           """simple docstring"""



           __lowercase     							=		langs
           __lowercase     							=		src_vocab_size
           __lowercase     							=		tgt_vocab_size
           __lowercase     							=		d_model  # encoder_embed_dim and decoder_embed_dim

           __lowercase     							=		encoder_ffn_dim
           __lowercase     							=		__lowercase     							=		encoder_layers
           __lowercase     							=		encoder_attention_heads
           __lowercase     							=		encoder_layerdrop
           __lowercase     							=		decoder_layerdrop
           __lowercase     							=		decoder_ffn_dim
           __lowercase     							=		decoder_layers
           __lowercase     							=		decoder_attention_heads
           __lowercase     							=		max_position_embeddings
           __lowercase     							=		init_std  # Normal(0, this parameter)
           __lowercase     							=		activation_function

           __lowercase     							=		DecoderConfig(vocab_size=lowerCamelCase__   ,						bos_token_id=lowerCamelCase__	)
           if "decoder" in common_kwargs:
               del common_kwargs["decoder"]

           __lowercase     							=		scale_embedding  # scale factor will be sqrt(d_model) if True

           # 3 Types of Dropout
           __lowercase     							=		attention_dropout
           __lowercase     							=		activation_dropout
           __lowercase     							=		dropout

           __lowercase     							=		use_cache
           super().__init__(
               pad_token_id=lowerCamelCase__   ,						bos_token_id=lowerCamelCase__   ,						eos_token_id=lowerCamelCase__   ,						decoder_start_token_id=lowerCamelCase__   ,						is_encoder_decoder=lowerCamelCase__   ,						tie_word_embeddings=lowerCamelCase__   ,						forced_eos_token_id=lowerCamelCase__   ,						max_length=lowerCamelCase__   ,						num_beams=lowerCamelCase__   ,						length_penalty=lowerCamelCase__   ,						early_stopping=lowerCamelCase__   ,						**lowerCamelCase__   ,						)




       def        snake_case__     (       self	)       ->   Optional[Any]:

           """simple docstring"""



           __lowercase     							=		copy.deepcopy(self.__dict__	)
           __lowercase     							=		self.decoder.to_dict()
           __lowercase     							=		self.__class__.model_type
           return output










'''simple docstring'''
def 							snake_case_    (  a__						:      int     ):



    """simple docstring"""




    __lowercase     							=		1
    __lowercase     							=		0
    __lowercase     							=		1
    __lowercase     							=		1
    __lowercase     							=		3
    __lowercase     							=		3
    __lowercase     							=		limit
    __lowercase     							=		0

    __lowercase     							=		""""""
    while counter != decimal + 1:
        if 4 * q + r - t < n * t:
            result += str(a__     )
            if counter == 0:
                result += "."

            if decimal == counter:
                break

            counter += 1
            __lowercase     							=		10 * (r - n * t)
            __lowercase     							=		((10 * (3 * q + r)) // t) - 10 * n
            q *= 10
            __lowercase     							=		nr
        else:
            __lowercase     							=		(2 * q + r) * l
            __lowercase     							=		(q * (7 * k) + 2 + (r * l)) // (t * l)
            q *= k
            t *= l
            l += 2
            k += 1
            __lowercase     							=		nn
            __lowercase     							=		nr
    return result
def 							snake_case_    (  ):



    """simple docstring"""




    print(f'{calculate_pi(50     ) = }'     )
    import doctest

    doctest.testmod()


if __name__ == "__main__":
  main()




