



from typing import Callable, Optional, Union

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


__snake_case		:Dict   	=  logging.get_logger(__name__)

__snake_case		:Dict   	=  {
    '''microsoft/xprophetnet-large-wiki100-cased''': (
        '''https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json'''
    ),
}

class 					_A (			__UpperCAmelCase					):
							UpperCamelCase__						:					List[Any]		      =		'''xlm-prophetnet'''
							UpperCamelCase__						:					Tuple		      =		['''past_key_values''']
							UpperCamelCase__						:					int		      =		{
							    '''num_attention_heads''': '''num_encoder_attention_heads''',
							}



							def __init__(	self							:  Optional[int]  ,	__SCREAMING_SNAKE_CASE							:  Optional[float] = 0.1  ,	__SCREAMING_SNAKE_CASE							:  Optional[Union[str, Callable]] = "gelu"  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 30_522  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 1_024  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 4_096  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 12  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 16  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 4_096  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 12  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 16  ,	__SCREAMING_SNAKE_CASE							:  Optional[float] = 0.1  ,	__SCREAMING_SNAKE_CASE							:  Optional[float] = 0.1  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 512  ,	__SCREAMING_SNAKE_CASE							:  Optional[float] = 0.02  ,	__SCREAMING_SNAKE_CASE							:  Optional[bool] = True  ,	__SCREAMING_SNAKE_CASE							:  Optional[bool] = True  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 0  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 2  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 32  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 128  ,	__SCREAMING_SNAKE_CASE							:  Optional[bool] = False  ,	__SCREAMING_SNAKE_CASE							:  Optional[float] = 0.0  ,	__SCREAMING_SNAKE_CASE							:  Optional[bool] = True  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 0  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 1  ,	__SCREAMING_SNAKE_CASE							:  Optional[int] = 2  ,	**__SCREAMING_SNAKE_CASE							:  Tuple  ,	):


											'''simple docstring'''

											__a		 =       vocab_size
											__a		 =       hidden_size
											__a		 =       encoder_ffn_dim
											__a		 =       num_encoder_layers
											__a		 =       num_encoder_attention_heads
											__a		 =       decoder_ffn_dim
											__a		 =       num_decoder_layers
											__a		 =       num_decoder_attention_heads
											__a		 =       max_position_embeddings
											__a		 =       init_std  # Normal(0, this parameter)
											__a		 =       activation_function

											# parameters for xlmprophetnet
											__a		 =       ngram
											__a		 =       num_buckets
											__a		 =       relative_max_distance
											__a		 =       disable_ngram_loss
											__a		 =       eps

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

											__a		 =       use_cache

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



							@property
							def 	_lowerCamelCase    (	self							:  Union[str, Any]):


											'''simple docstring'''

											return self.num_encoder_layers + self.num_decoder_layers





							@num_hidden_layers.setter
							def 	_lowerCamelCase    (	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  Dict):


											'''simple docstring'''

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










# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


__snake_case		:List[str]   	=  re.compile(r'''^(?P<major>\d+)''' r'''\.(?P<minor>\d+)''' r'''\.(?P<patch>\d+)$''')

@total_ordering
@dataclass
class 					_A :
       UpperCamelCase__						:					str
       UpperCamelCase__						:					Optional[str]		      =		None
       UpperCamelCase__						:					Optional[Union[str, int]]		      =		None
       UpperCamelCase__						:					Optional[Union[str, int]]		      =		None
       UpperCamelCase__						:					Optional[Union[str, int]]		      =		None



       def 	_lowerCamelCase    (	self							:  Union[str, Any]):


           '''simple docstring'''

           __a ,     __a ,     __a		 =       _str_to_version_tuple(self.version_str)



       def __repr__(	self							:  Tuple):


           '''simple docstring'''

           return F'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'



       @property
       def 	_lowerCamelCase    (	self							:  Optional[int]):


           '''simple docstring'''

           return self.major, self.minor, self.patch



       def 	_lowerCamelCase    (	self							:  Any  ,	__SCREAMING_SNAKE_CASE							:  Optional[int]):


           '''simple docstring'''

           if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE):
               return Version(__SCREAMING_SNAKE_CASE)
           elif isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE):
               return other
           raise TypeError(F'{other} (type {type(__SCREAMING_SNAKE_CASE)}) cannot be compared to version.')



       def __eq__(	self							:  int  ,	__SCREAMING_SNAKE_CASE							:  Any):


           '''simple docstring'''

           try:
               __a		 =       self._validate_operand(__SCREAMING_SNAKE_CASE)
           except (TypeError, ValueError):
               return False
           else:
               return self.tuple == other.tuple



       def __lt__(	self							:  str  ,	__SCREAMING_SNAKE_CASE							:  Tuple):


           '''simple docstring'''

           __a		 =       self._validate_operand(__SCREAMING_SNAKE_CASE)
           return self.tuple < other.tuple



       def __hash__(	self							:  Optional[Any]):


           '''simple docstring'''

           return hash(_version_tuple_to_str(self.tuple))



       @classmethod
       def 	_lowerCamelCase    (	cls							:  List[str]  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]):


           '''simple docstring'''

           __a		 =       {f.name for f in dataclasses.fields(cls)}
           return cls(**{k: v for k, v in dic.items() if k in field_names})





       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           return self.version_str





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       _VERSION_REG.match(_UpperCAmelCase       )
    if not res:
        raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'       )
    return tuple(int(_UpperCAmelCase       ) for v in [res.group('''major'''       ), res.group('''minor'''       ), res.group('''patch'''       )]       )





def   __snake_case			(    _UpperCAmelCase       ):
    return ".".join(str(_UpperCAmelCase       ) for v in version_tuple       )





