

"""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        __lowercase     (      __lowerCamelCase		,     __lowerCamelCase		,     __lowerCamelCase   ):

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






   '''simple docstring'''
   super().__init__()

   UpperCAmelCase__   :					Optional[Any]   				=   nn.Linear(A   ,A   ,bias=A      )

   UpperCAmelCase__   :					str   				=   nn.Embedding(A   ,A      )
   UpperCAmelCase__   :					Optional[int]   				=   False

   UpperCAmelCase__   :					Any   				=   nn.Dropout(p=A      )

   UpperCAmelCase__   :					Any   				=   TaConfig(
       d_model=A   ,num_heads=A   ,d_kv=A   ,d_ff=A   ,feed_forward_proj=A   ,dropout_rate=A   ,is_decoder=A   ,is_encoder_decoder=A   ,)
   UpperCAmelCase__   :					Tuple   				=   nn.ModuleList()
   for lyr_num in range(A      ):
    UpperCAmelCase__   :					List[str]   				=   TaBlock(A      )
    self.encoders.append(A      )

   UpperCAmelCase__   :					Tuple   				=   TaLayerNorm(A      )
   UpperCAmelCase__   :					Union[str, Any]   				=   nn.Dropout(p=A      )




  def 				__lowercase    (					self						:     Optional[Any]   ,A						:     Union[str, Any]   ,A						:     Tuple      ):






   '''simple docstring'''
   UpperCAmelCase__   :					List[Any]   				=   self.input_proj(A      )

   # terminal relative positional encodings
   UpperCAmelCase__   :					Optional[Any]   				=   encoder_inputs.shape[1]
   UpperCAmelCase__   :					Dict   				=   torch.arange(A   ,device=encoder_inputs.device      )

   UpperCAmelCase__   :					str   				=   encoder_inputs_mask.sum(-1      )
   UpperCAmelCase__   :					List[str]   				=   torch.roll(input_positions.unsqueeze(0      )   ,tuple(seq_lens.tolist()      )   ,dims=0      )
   x += self.position_encoding(A      )

   UpperCAmelCase__   :					str   				=   self.dropout_pre(A      )

   # inverted the attention mask
   UpperCAmelCase__   :					Any   				=   encoder_inputs.size()
   UpperCAmelCase__   :					Optional[int]   				=   self.get_extended_attention_mask(A   ,A      )

   for lyr in self.encoders:
    UpperCAmelCase__   :					Optional[int]   				=   lyr(A   ,A      )[0]
   UpperCAmelCase__   :					Tuple   				=   self.layer_norm(A      )

   return self.dropout_post(A      ), encoder_inputs_mask








"""simple docstring"""




def 					lowerCAmelCase  (   __UpperCamelCase ):
 '''simple docstring'''





 UpperCAmelCase__   :					Union[str, Any]   				=   1
 UpperCAmelCase__   :					Union[str, Any]   				=   0
 UpperCAmelCase__   :					List[str]   				=   1
 UpperCAmelCase__   :					Any   				=   1
 UpperCAmelCase__   :					Optional[int]   				=   3
 UpperCAmelCase__   :					Any   				=   3
 UpperCAmelCase__   :					Optional[Any]   				=   limit
 UpperCAmelCase__   :					Dict   				=   0

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

   if decimal == counter:
    break

   counter += 1
   UpperCAmelCase__   :					Union[str, Any]   				=   10 * (r - n * t)
   UpperCAmelCase__   :					int   				=   ((10 * (3 * q + r)) // t) - 10 * n
   q *= 10
   UpperCAmelCase__   :					str   				=   nr
  else:
   UpperCAmelCase__   :					List[str]   				=   (2 * q + r) * l
   UpperCAmelCase__   :					Union[str, Any]   				=   (q * (7 * k) + 2 + (r * l)) // (t * l)
   q *= k
   t *= l
   l += 2
   k += 1
   UpperCAmelCase__   :					Optional[Any]   				=   nn
   UpperCAmelCase__   :					str   				=   nr
 return result
def 					lowerCAmelCase  (   ):
 '''simple docstring'''





 print(F"{calculate_pi(50 ) = }" )
 import doctest

 doctest.testmod()


if __name__ == "__main__":
      main()





