"""simple docstring"""







from typing import Callable, Optional, Union

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


lowerCamelCase      : Tuple       =logging.get_logger(__name__)

lowerCamelCase      : Optional[int]       ={
    '''microsoft/prophetnet-large-uncased''': (
        '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
    ),
}






class 							__snake_case(					A_	):


    '''simple docstring'''





    _UpperCAmelCase       =			"prophetnet"
    _UpperCAmelCase       =			["past_key_values"]
    _UpperCAmelCase       =			{
        "num_attention_heads": "num_encoder_attention_heads",
    }
    def __init__(  self					,       __lowerCamelCase = 0.1					,       __lowerCamelCase = "gelu"					,       __lowerCamelCase = 30522					,       __lowerCamelCase = 1024					,       __lowerCamelCase = 4096					,       __lowerCamelCase = 12					,       __lowerCamelCase = 16					,       __lowerCamelCase = 4096					,       __lowerCamelCase = 12					,       __lowerCamelCase = 16					,       __lowerCamelCase = 0.1					,       __lowerCamelCase = 0.1					,       __lowerCamelCase = 512					,       __lowerCamelCase = 0.02					,       __lowerCamelCase = True					,       __lowerCamelCase = True					,       __lowerCamelCase = 0					,       __lowerCamelCase = 2					,       __lowerCamelCase = 32					,       __lowerCamelCase = 128					,       __lowerCamelCase = False					,       __lowerCamelCase = 0.0					,       __lowerCamelCase = True					,       __lowerCamelCase = 0					,       __lowerCamelCase = 1					,       __lowerCamelCase = 2					,       **__lowerCamelCase					,       ):




         '''simple docstring'''



         __A					:					Dict								=		vocab_size
         __A					:					List[Any]								=		hidden_size
         __A					:					List[str]								=		encoder_ffn_dim
         __A					:					Optional[int]								=		num_encoder_layers
         __A					:					Optional[int]								=		num_encoder_attention_heads
         __A					:					Any								=		decoder_ffn_dim
         __A					:					List[str]								=		num_decoder_layers
         __A					:					Tuple								=		num_decoder_attention_heads
         __A					:					Union[str, Any]								=		max_position_embeddings
         __A					:					str								=		init_std  # Normal(0, this parameter)
         __A					:					Union[str, Any]								=		activation_function

         # parameters for prophetnet
         __A					:					Dict								=		ngram
         __A					:					List[str]								=		num_buckets
         __A					:					int								=		relative_max_distance
         __A					:					Union[str, Any]								=		disable_ngram_loss
         __A					:					Any								=		eps

         # 3 Types of Dropout
         __A					:					Union[str, Any]								=		attention_dropout
         __A					:					str								=		activation_dropout
         __A					:					Optional[int]								=		dropout

         __A					:					Any								=		use_cache

         super().__init__(
             pad_token_id=__lowerCamelCase					,       bos_token_id=__lowerCamelCase					,       eos_token_id=__lowerCamelCase					,       is_encoder_decoder=__lowerCamelCase					,       add_cross_attention=__lowerCamelCase					,       decoder_start_token_id=__lowerCamelCase					,       **__lowerCamelCase					,       )
    @property
    def 						_a							(  self	):




         '''simple docstring'''



         return self.num_encoder_layers + self.num_decoder_layers

    @num_hidden_layers.setter
    def 						_a							(  self					,       __lowerCamelCase	):




         '''simple docstring'''



         raise NotImplementedError(
             'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
             ' `num_decoder_layers`.'	)




"""simple docstring"""







import pytest

from datasets.utils.version import Version




@pytest.mark.parametrize(
    'other, expected_equality'  ,       [
        (Version('1.0.0'						), True),
        ('1.0.0', True),
        (Version('2.0.0'						), False),
        ('2.0.0', False),
        ('1', False),
        ('a', False),
        (1, False),
        (None, False),
    ]  ,       )
def 						_lowercase				(  _SCREAMING_SNAKE_CASE				:				Tuple  ,       _SCREAMING_SNAKE_CASE				:				Any						)    ->     List[str]:







     '''simple docstring'''


     __A					:					Tuple								=		Version('1.0.0'						)
     assert (version == other) is expected_equality
     assert (version != other) is not expected_equality
     assert (hash(_SCREAMING_SNAKE_CASE						) == hash(_SCREAMING_SNAKE_CASE						)) is expected_equality



