


"""simple docstring"""



import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class 					__magic_name__		(			__UpperCAmelCase			,						__UpperCAmelCase			,						__UpperCAmelCase     ):






       @register_to_config
       def __init__(   self  :    Optional[int]  ,     snake_case__  :    int  ,     snake_case__  :    int  ,     snake_case__  :    int  ,     snake_case__  :    float  ,     snake_case__  :    int  ,     snake_case__  :    int  ,     snake_case__  :    int  ,     snake_case__  :    int  ,     snake_case__  :    str  ,     snake_case__  :    bool = False  ,     ):

              '''simple docstring'''






              super().__init__()

              lowercase		:Dict       							=				nn.Embedding(snake_case__  ,     snake_case__				)

              lowercase		:Optional[int]       							=				nn.Embedding(snake_case__  ,     snake_case__				)
              lowercase		:str       							=				False

              lowercase		:Union[str, Any]       							=				nn.Dropout(p=snake_case__				)

              lowercase		:Optional[Any]       							=				TaConfig(
                  vocab_size=snake_case__  ,     d_model=snake_case__  ,     num_heads=snake_case__  ,     d_kv=snake_case__  ,     d_ff=snake_case__  ,     dropout_rate=snake_case__  ,     feed_forward_proj=snake_case__  ,     is_decoder=snake_case__  ,     is_encoder_decoder=snake_case__  ,     )

              lowercase		:int       							=				nn.ModuleList()
              for lyr_num in range(snake_case__				):
                     lowercase		:int       							=				TaBlock(snake_case__				)
                     self.encoders.append(snake_case__				)

              lowercase		:Any       							=				TaLayerNorm(snake_case__				)
              lowercase		:Optional[Any]       							=				nn.Dropout(p=snake_case__				)







       def  __snake_case						(   self  :    Any  ,     snake_case__  :    Optional[Any]  ,     snake_case__  :    List[Any]				):

              '''simple docstring'''






              lowercase		:int       							=				self.token_embedder(snake_case__				)

              lowercase		:Optional[Any]       							=				encoder_input_tokens.shape[1]
              lowercase		:Optional[Any]       							=				torch.arange(snake_case__  ,     device=encoder_input_tokens.device				)
              x += self.position_encoding(snake_case__				)

              lowercase		:int       							=				self.dropout_pre(snake_case__				)

              # inverted the attention mask
              lowercase		:List[Any]       							=				encoder_input_tokens.size()
              lowercase		:Union[str, Any]       							=				self.get_extended_attention_mask(snake_case__  ,     snake_case__				)

              for lyr in self.encoders:
                     lowercase		:Tuple       							=				lyr(snake_case__  ,     snake_case__				)[0]
              lowercase		:List[Any]       							=				self.layer_norm(snake_case__				)

              return self.dropout_post(snake_case__				), encoder_inputs_mask





"""simple docstring"""



import math






def       lowerCamelCase					(a_						:int)     ->							bool:
       assert isinstance(a_				,				a_) and (
           number >= 0
       ), "'number' must been an int and positive"

       if 1 < number < 4:
              # 2 and 3 are primes
              return True
       elif number < 2 or not number % 2:
              # Negatives, 0, 1 and all even numbers are not primes
              return False

       lowercase		:Any       							=				range(3				,				int(math.sqrt(a_) + 1)				,				2)
       return not any(not number % i for i in odd_numbers)






def       lowerCamelCase					(a_						:Optional[int]				,				a_						:Optional[int]=1				,				**a_						:List[str])     ->							Any:
       lowercase		:str       							=				factor * value
       lowercase		:int       							=				value

       while not is_prime(a_):
              value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

       if value == first_value_val:
              return next_prime(value + 1				,				**a_)
       return value

