





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   __snake_case				(			_a       ,				_a       ,				_a   ):






    '''simple docstring'''





    @register_to_config
    def __init__(   self						:		str			,						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__()

      __lowerCAmelCase			=				nn.Linear(snake_case			,						snake_case			,						bias=snake_case							)

      __lowerCAmelCase			=				nn.Embedding(snake_case			,						snake_case							)
      __lowerCAmelCase			=				False

      __lowerCAmelCase			=				nn.Dropout(p=snake_case							)

      __lowerCAmelCase			=				TaConfig(
          d_model=snake_case			,						num_heads=snake_case			,						d_kv=snake_case			,						d_ff=snake_case			,						feed_forward_proj=snake_case			,						dropout_rate=snake_case			,						is_decoder=snake_case			,						is_encoder_decoder=snake_case			,						)
      __lowerCAmelCase			=				nn.ModuleList()
      for lyr_num in range(snake_case							):
        __lowerCAmelCase			=				TaBlock(snake_case							)
        self.encoders.append(snake_case							)

      __lowerCAmelCase			=				TaLayerNorm(snake_case							)
      __lowerCAmelCase			=				nn.Dropout(p=snake_case							)





    def 	A		(   self						:		Dict			,						snake_case						:		List[str]			,						snake_case						:		Dict							):

      """simple docstring"""





      __lowerCAmelCase			=				self.input_proj(snake_case							)

      # terminal relative positional encodings
      __lowerCAmelCase			=				encoder_inputs.shape[1]
      __lowerCAmelCase			=				torch.arange(snake_case			,						device=encoder_inputs.device							)

      __lowerCAmelCase			=				encoder_inputs_mask.sum(-1							)
      __lowerCAmelCase			=				torch.roll(input_positions.unsqueeze(0							)			,						tuple(seq_lens.tolist()							)			,						dims=0							)
      x += self.position_encoding(snake_case							)

      __lowerCAmelCase			=				self.dropout_pre(snake_case							)

      # inverted the attention mask
      __lowerCAmelCase			=				encoder_inputs.size()
      __lowerCAmelCase			=				self.get_extended_attention_mask(snake_case			,						snake_case							)

      for lyr in self.encoders:
        __lowerCAmelCase			=				lyr(snake_case			,						snake_case							)[0]
      __lowerCAmelCase			=				self.layer_norm(snake_case							)

      return self.dropout_post(snake_case							), encoder_inputs_mask







class   __snake_case				:






    '''simple docstring'''





    def __init__(   self						:		Any							):

      """simple docstring"""





      __lowerCAmelCase			=				{}
      # indexmap keys are an index and it's values are the number at that index
      __lowerCAmelCase			=				{}





    def 	A		(   self						:		List[Any]			,						snake_case						:		list | str | range			,						snake_case						:		int							):

      """simple docstring"""





      if isinstance(snake_case			,						(range, str)							):
        __lowerCAmelCase			=				list(snake_case							)
      elif not isinstance(snake_case			,						snake_case							):
        raise TypeError(
            '''binary_search_delete() only accepts either a list, range or str'''							)

      __lowerCAmelCase			=				0
      __lowerCAmelCase			=				len(snake_case							) - 1

      while low <= high:
        __lowerCAmelCase			=				(low + high) // 2
        if array[mid] == item:
          array.pop(snake_case							)
          return array
        elif array[mid] < item:
          __lowerCAmelCase			=				mid + 1
        else:
          __lowerCAmelCase			=				mid - 1
      raise ValueError(
          '''Either the item is not in the array or the array was unsorted'''							)





    def 	A		(   self						:		Tuple			,						snake_case						:		list | str | range			,						snake_case						:		int							):

      """simple docstring"""





      if isinstance(snake_case			,						(range, str)							):
        __lowerCAmelCase			=				list(snake_case							)
      elif not isinstance(snake_case			,						snake_case							):
        raise TypeError(
            '''binary_search_insert() only accepts either a list, range or str'''							)

      __lowerCAmelCase			=				0
      __lowerCAmelCase			=				len(snake_case							) - 1

      while low <= high:
        __lowerCAmelCase			=				(low + high) // 2
        if array[mid] == index:
          # If the item already exists in the array,
          # insert it after the existing item
          array.insert(mid + 1			,						snake_case							)
          return array
        elif array[mid] < index:
          __lowerCAmelCase			=				mid + 1
        else:
          __lowerCAmelCase			=				mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
      array.insert(snake_case			,						snake_case							)
      return array





    def 	A		(   self						:		Tuple			,						snake_case						:		int			,						snake_case						:		int							):

      """simple docstring"""





      if index in self.indexmap:
        __lowerCAmelCase			=				self.indexmap[index]
        if len(self.numbermap[n]							) == 1:
          del self.numbermap[n]
        else:
          __lowerCAmelCase			=				self.binary_search_delete(self.numbermap[n]			,						snake_case							)

        # Set new index
      __lowerCAmelCase			=				number

      # Number not seen before or empty so insert number value
      if number not in self.numbermap:
        __lowerCAmelCase			=				[index]

      # Here we need to perform a binary search insertion in order to insert
      # The item in the correct place
      else:
        __lowerCAmelCase			=				self.binary_search_insert(
            self.numbermap[number]			,						snake_case							)





    def 	A		(   self						:		List[str]			,						snake_case						:		int							):

      """simple docstring"""





      return self.numbermap.get(snake_case			,						[-1]							)[0]


if __name__ == "__main__":
      import doctest

      doctest.testmod()
