import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__magic_name__								=logging.get_logger(__name__)



class     _A   (    __UpperCamelCase							):
  SCREAMING_SNAKE_CASE_	:	List[Any]						=["input_ids", "attention_mask"]






  def __init__(self   ,				SCREAMING_SNAKE_CASE_="</s>"   ,				SCREAMING_SNAKE_CASE_="<unk>"   ,				SCREAMING_SNAKE_CASE_="<pad>"   ,				SCREAMING_SNAKE_CASE_=125   ,				SCREAMING_SNAKE_CASE_=None   ,				**SCREAMING_SNAKE_CASE_   ,				)		->      None:





       '''simple docstring'''





       if extra_ids > 0 and additional_special_tokens is None:
            UpperCamelCase__										=      [F"<extra_id_{i}>" for i in range(SCREAMING_SNAKE_CASE_	)]
       elif extra_ids > 0 and additional_special_tokens is not None:
            # Check that we have the right number of extra_id special tokens
            UpperCamelCase__										=      len(set(filter(lambda SCREAMING_SNAKE_CASE_	: bool('''extra_id''' in str(SCREAMING_SNAKE_CASE_	)	)   ,				SCREAMING_SNAKE_CASE_	)	)	)
            if extra_tokens != extra_ids:
                 raise ValueError(
                     F"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
                     ''' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'''
                     ''' extra_ids tokens'''	)

       UpperCamelCase__										=      AddedToken(SCREAMING_SNAKE_CASE_   ,				lstrip=SCREAMING_SNAKE_CASE_   ,				rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_	) else pad_token
       UpperCamelCase__										=      AddedToken(SCREAMING_SNAKE_CASE_   ,				lstrip=SCREAMING_SNAKE_CASE_   ,				rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_	) else eos_token
       UpperCamelCase__										=      AddedToken(SCREAMING_SNAKE_CASE_   ,				lstrip=SCREAMING_SNAKE_CASE_   ,				rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_	) else unk_token

       super().__init__(
           eos_token=SCREAMING_SNAKE_CASE_   ,				unk_token=SCREAMING_SNAKE_CASE_   ,				pad_token=SCREAMING_SNAKE_CASE_   ,				extra_ids=SCREAMING_SNAKE_CASE_   ,				additional_special_tokens=SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_   ,				)

       UpperCamelCase__										=      extra_ids

       UpperCamelCase__										=      2**8  # utf is 8 bits

       # define special tokens dict
       UpperCamelCase__										=      {
           self.pad_token: 0,
           self.eos_token: 1,
           self.unk_token: 2,
       }
       UpperCamelCase__										=      len(self.special_tokens_encoder	)
       UpperCamelCase__										=      len(SCREAMING_SNAKE_CASE_	)
       for i, token in enumerate(SCREAMING_SNAKE_CASE_	):
            UpperCamelCase__										=      self.vocab_size + i - n
       UpperCamelCase__										=      {v: k for k, v in self.special_tokens_encoder.items()}






  @property
  def 		_a					(self	)		->      Tuple:





       '''simple docstring'''





       return self._utf_vocab_size + self._num_special_tokens + self._extra_ids






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_ = None   ,				SCREAMING_SNAKE_CASE_ = False	)		->      List[int]:





       '''simple docstring'''





       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=SCREAMING_SNAKE_CASE_   ,				token_ids_a=SCREAMING_SNAKE_CASE_   ,				already_has_special_tokens=SCREAMING_SNAKE_CASE_	)

       # normal case: some special tokens
       if token_ids_a is None:
            return ([0] * len(SCREAMING_SNAKE_CASE_	)) + [1]
       return ([0] * len(SCREAMING_SNAKE_CASE_	)) + [1] + ([0] * len(SCREAMING_SNAKE_CASE_	)) + [1]






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      List[int]:





       '''simple docstring'''





       if len(SCREAMING_SNAKE_CASE_	) > 0 and token_ids[-1] == self.eos_token_id:
            warnings.warn(
                F"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
                ''' eos tokens being added.'''	)
            return token_ids
       else:
            return token_ids + [self.eos_token_id]






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_ = None	)		->      List[int]:





       '''simple docstring'''





       UpperCamelCase__										=      [self.eos_token_id]

       if token_ids_a is None:
            return len(token_ids_a + eos	) * [0]
       return len(token_ids_a + eos + token_ids_a + eos	) * [0]






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_ = None	)		->      List[int]:





       '''simple docstring'''





       UpperCamelCase__										=      self._add_eos_if_not_present(SCREAMING_SNAKE_CASE_	)
       if token_ids_a is None:
            return token_ids_a
       else:
            UpperCamelCase__										=      self._add_eos_if_not_present(SCREAMING_SNAKE_CASE_	)
            return token_ids_a + token_ids_a






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      List[str]:





       '''simple docstring'''





       UpperCamelCase__										=      [chr(SCREAMING_SNAKE_CASE_	) for i in text.encode('''utf-8'''	)]
       return tokens






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      Optional[int]:





       '''simple docstring'''





       if token in self.special_tokens_encoder:
            UpperCamelCase__										=      self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
            UpperCamelCase__										=      self.added_tokens_encoder[token]
       elif len(SCREAMING_SNAKE_CASE_	) != 1:
            UpperCamelCase__										=      self.unk_token_id
       else:
            UpperCamelCase__										=      ord(SCREAMING_SNAKE_CASE_	) + self._num_special_tokens
       return token_id






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      int:





       '''simple docstring'''





       if index in self.special_tokens_decoder:
            UpperCamelCase__										=      self.special_tokens_decoder[index]
       else:
            UpperCamelCase__										=      chr(index - self._num_special_tokens	)
       return token






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      List[Any]:





       '''simple docstring'''





       UpperCamelCase__										=      b''''''
       for token in tokens:
            if token in self.special_tokens_decoder:
                 UpperCamelCase__										=      self.special_tokens_decoder[token].encode('''utf-8'''	)
            elif token in self.added_tokens_decoder:
                 UpperCamelCase__										=      self.special_tokens_decoder[token].encode('''utf-8'''	)
            elif token in self.special_tokens_encoder:
                 UpperCamelCase__										=      token.encode('''utf-8'''	)
            elif token in self.added_tokens_encoder:
                 UpperCamelCase__										=      token.encode('''utf-8'''	)
            else:
                 UpperCamelCase__										=      bytes([ord(SCREAMING_SNAKE_CASE_	)]	)
            bstring += tok_string
       UpperCamelCase__										=      bstring.decode('''utf-8'''   ,				errors='''ignore'''	)
       return string






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_ = None	)		->      Tuple[str]:





       '''simple docstring'''





       return ()







from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin



class     _A   (    __UpperCamelCase	, __UpperCamelCase							):






  @register_to_config
  def __init__(self   ,				SCREAMING_SNAKE_CASE_ = 768   ,				)		->      Tuple:





       '''simple docstring'''





       super().__init__()

       UpperCamelCase__										=      nn.Parameter(torch.zeros(1   ,				SCREAMING_SNAKE_CASE_	)	)
       UpperCamelCase__										=      nn.Parameter(torch.ones(1   ,				SCREAMING_SNAKE_CASE_	)	)






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_ = None   ,				SCREAMING_SNAKE_CASE_ = None   ,				)		->      Tuple:





       '''simple docstring'''





       UpperCamelCase__										=      nn.Parameter(self.mean.to(SCREAMING_SNAKE_CASE_	).to(SCREAMING_SNAKE_CASE_	)	)
       UpperCamelCase__										=      nn.Parameter(self.std.to(SCREAMING_SNAKE_CASE_	).to(SCREAMING_SNAKE_CASE_	)	)
       return self






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      int:





       '''simple docstring'''





       UpperCamelCase__										=      (embeds - self.mean) * 1.0 / self.std
       return embeds






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_	)		->      int:





       '''simple docstring'''





       UpperCamelCase__										=      (embeds * self.std) + self.mean
       return embeds



