'''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     __UpperCAmelCase       ( SCREAMING_SNAKE_CASE_						,       SCREAMING_SNAKE_CASE_						,       SCREAMING_SNAKE_CASE_		):





  @register_to_config
  def __init__(	self    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase = False    ,     ):
     super().__init__()

     lowerCAmelCase_			=      nn.Embedding(lowercase_    ,     lowercase_ )

     lowerCAmelCase_			=      nn.Embedding(lowercase_    ,     lowercase_ )
     lowerCAmelCase_			=      False

     lowerCAmelCase_			=      nn.Dropout(p=lowercase_ )

     lowerCAmelCase_			=      TaConfig(
         vocab_size=lowercase_    ,     d_model=lowercase_    ,     num_heads=lowercase_    ,     d_kv=lowercase_    ,     d_ff=lowercase_    ,     dropout_rate=lowercase_    ,     feed_forward_proj=lowercase_    ,     is_decoder=lowercase_    ,     is_encoder_decoder=lowercase_    ,     )

     lowerCAmelCase_			=      nn.ModuleList()
     for lyr_num in range(lowercase_ ):
        lowerCAmelCase_			=      TaBlock(lowercase_ )
        self.encoders.append(lowercase_ )

     lowerCAmelCase_			=      TaLayerNorm(lowercase_ )
     lowerCAmelCase_			=      nn.Dropout(p=lowercase_ )







  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase ):
     lowerCAmelCase_			=      self.token_embedder(lowercase_ )

     lowerCAmelCase_			=      encoder_input_tokens.shape[1]
     lowerCAmelCase_			=      torch.arange(lowercase_    ,     device=encoder_input_tokens.device )
     x += self.position_encoding(lowercase_ )

     lowerCAmelCase_			=      self.dropout_pre(lowercase_ )

     # inverted the attention mask
     lowerCAmelCase_			=      encoder_input_tokens.size()
     lowerCAmelCase_			=      self.get_extended_attention_mask(lowercase_    ,     lowercase_ )

     for lyr in self.encoders:
        lowerCAmelCase_			=      lyr(lowercase_    ,     lowercase_ )[0]
     lowerCAmelCase_			=      self.layer_norm(lowercase_ )

     return self.dropout_post(lowercase_ ), encoder_inputs_mask







"""simple docstring"""

from __future__ import annotations

from collections.abc import Iterator
class   _UpperCAmelCase				:




      def __init__(				self ,							lowercase_				)    ->       None:
          UpperCAmelCase          =       value
          UpperCAmelCase          =       None
          UpperCAmelCase          =       None

class   _UpperCAmelCase				:




      def __init__(				self ,							lowercase_				)    ->       None:
          UpperCAmelCase          =       tree




      def      a_   (				self ,							lowercase_				)    ->       int:
          if node is None:
              return 0
          return node.value + (
              self.depth_first_search(node.left				) + self.depth_first_search(node.right				)
          )




      def __iter__(				self				)    ->       Iterator[int]:
          yield self.depth_first_search(self.tree				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()



