
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowerCamelCase_						     =					logging.get_logger(__name__)

lowerCamelCase_						     =					'''▁'''

lowerCamelCase_						     =					{'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCamelCase_						     =					{
    '''vocab_file''': {
        '''facebook/mbart-large-en-ro''': (
            '''https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'''
        ),
        '''facebook/mbart-large-cc25''': (
            '''https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'''
        ),
    }
}

lowerCamelCase_						     =					{
    '''facebook/mbart-large-en-ro''': 10_24,
    '''facebook/mbart-large-cc25''': 10_24,
}

# fmt: off
lowerCamelCase_						     =					['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''']




class      __A(    __lowerCamelCase			):

  """simple docstring"""
  SCREAMING_SNAKE_CASE__         =      VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__         =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__         =      PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__         =      ["""input_ids""", """attention_mask"""]

  SCREAMING_SNAKE_CASE__         =      []
  SCREAMING_SNAKE_CASE__         =      []







  def __init__(self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_="<s>"	,      SCREAMING_SNAKE_CASE_="</s>"	,      SCREAMING_SNAKE_CASE_="</s>"	,      SCREAMING_SNAKE_CASE_="<s>"	,      SCREAMING_SNAKE_CASE_="<unk>"	,      SCREAMING_SNAKE_CASE_="<pad>"	,      SCREAMING_SNAKE_CASE_="<mask>"	,      SCREAMING_SNAKE_CASE_=None	,      SCREAMING_SNAKE_CASE_=None	,      SCREAMING_SNAKE_CASE_=None	,      SCREAMING_SNAKE_CASE_ = None	,      SCREAMING_SNAKE_CASE_=None	,      **SCREAMING_SNAKE_CASE_	,      ):
       # Mask token behave like a normal word, i.e. include the space before it
       UpperCamelCase__				=    AddedToken(SCREAMING_SNAKE_CASE_	,      lstrip=SCREAMING_SNAKE_CASE_	,      rstrip=SCREAMING_SNAKE_CASE_						) if isinstance(SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_						) else mask_token

       UpperCamelCase__				=    {} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           bos_token=SCREAMING_SNAKE_CASE_	,      eos_token=SCREAMING_SNAKE_CASE_	,      unk_token=SCREAMING_SNAKE_CASE_	,      sep_token=SCREAMING_SNAKE_CASE_	,      cls_token=SCREAMING_SNAKE_CASE_	,      pad_token=SCREAMING_SNAKE_CASE_	,      mask_token=SCREAMING_SNAKE_CASE_	,      tokenizer_file=SCREAMING_SNAKE_CASE_	,      src_lang=SCREAMING_SNAKE_CASE_	,      tgt_lang=SCREAMING_SNAKE_CASE_	,      additional_special_tokens=SCREAMING_SNAKE_CASE_	,      sp_model_kwargs=self.sp_model_kwargs	,      **SCREAMING_SNAKE_CASE_	,      )

       UpperCamelCase__				=    spm.SentencePieceProcessor(**self.sp_model_kwargs						)
       self.sp_model.Load(str(SCREAMING_SNAKE_CASE_						)						)
       UpperCamelCase__				=    vocab_file

       # Original fairseq vocab and spm vocab must be "aligned":
       # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
       # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
       # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
       # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

       # Mimic fairseq token-to-id alignment for the first 4 token
       UpperCamelCase__				=    {"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

       # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
       UpperCamelCase__				=    1

       UpperCamelCase__				=    len(self.sp_model						)
       UpperCamelCase__				=    {
           code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(SCREAMING_SNAKE_CASE_						)
       }
       UpperCamelCase__				=    {v: k for k, v in self.lang_code_to_id.items()}
       UpperCamelCase__				=    len(self.sp_model						) + len(self.lang_code_to_id						) + self.fairseq_offset

       self.fairseq_tokens_to_ids.update(self.lang_code_to_id						)
       UpperCamelCase__				=    {v: k for k, v in self.fairseq_tokens_to_ids.items()}
       UpperCamelCase__				=    list(self.lang_code_to_id.keys()						)

       if additional_special_tokens is not None:
            # Only add those special tokens if they are not already there.
            self._additional_special_tokens.extend(
                [t for t in additional_special_tokens if t not in self._additional_special_tokens]						)

       UpperCamelCase__				=    src_lang if src_lang is not None else """en_XX"""
       UpperCamelCase__				=    self.lang_code_to_id[self._src_lang]
       UpperCamelCase__				=    tgt_lang
       self.set_src_lang_special_tokens(self._src_lang						)







  def __getstate__(self						):
       UpperCamelCase__				=    self.__dict__.copy()
       UpperCamelCase__				=    None
       UpperCamelCase__				=    self.sp_model.serialized_model_proto()
       return state







  def __setstate__(self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    d

       # for backward compatibility
       if not hasattr(self	,      """sp_model_kwargs"""						):
            UpperCamelCase__				=    {}

       UpperCamelCase__				=    spm.SentencePieceProcessor(**self.sp_model_kwargs						)
       self.sp_model.LoadFromSerializedProto(self.sp_model_proto						)







  @property
  def 	UpperCAmelCase_ (self						):
       return len(self.sp_model						) + len(self.lang_code_to_id						) + self.fairseq_offset + 1  # Plus 1 for the mask token







  @property
  def 	UpperCAmelCase_ (self						):
       return self._src_lang







  @src_lang.setter
  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    new_src_lang
       self.set_src_lang_special_tokens(self._src_lang						)







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = None	,      SCREAMING_SNAKE_CASE_ = False						):

       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_						)

       UpperCamelCase__				=    [1] * len(self.prefix_tokens						)
       UpperCamelCase__				=    [1] * len(self.suffix_tokens						)
       if token_ids_a is None:
            return prefix_ones + ([0] * len(SCREAMING_SNAKE_CASE_						)) + suffix_ones
       return prefix_ones + ([0] * len(SCREAMING_SNAKE_CASE_						)) + ([0] * len(SCREAMING_SNAKE_CASE_						)) + suffix_ones







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = None						):
       if token_ids_a is None:
            return self.prefix_tokens + token_ids_a + self.suffix_tokens
       # We don't expect to process pairs, but leave the pair logic for API consistency
       return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = None						):
       UpperCamelCase__				=    [self.sep_token_id]
       UpperCamelCase__				=    [self.cls_token_id]

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







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						):
       if src_lang is None or tgt_lang is None:
            raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""						)
       UpperCamelCase__				=    src_lang
       UpperCamelCase__				=    self(SCREAMING_SNAKE_CASE_	,      add_special_tokens=SCREAMING_SNAKE_CASE_	,      return_tensors=SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						)
       UpperCamelCase__				=    self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_						)
       UpperCamelCase__				=    tgt_lang_id
       return inputs







  def 	UpperCAmelCase_ (self						):
       UpperCamelCase__				=    {self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_						): i for i in range(self.vocab_size						)}
       vocab.update(self.added_tokens_encoder						)
       return vocab







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       return self.sp_model.encode(SCREAMING_SNAKE_CASE_	,      out_type=SCREAMING_SNAKE_CASE_						)







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       if token in self.fairseq_tokens_to_ids:
            return self.fairseq_tokens_to_ids[token]
       UpperCamelCase__				=    self.sp_model.PieceToId(SCREAMING_SNAKE_CASE_						)

       # Need to return unknown token if the SP model returned 0
       return spm_id + self.fairseq_offset if spm_id else self.unk_token_id







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       if index in self.fairseq_ids_to_tokens:
            return self.fairseq_ids_to_tokens[index]
       return self.sp_model.IdToPiece(index - self.fairseq_offset						)







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    """""".join(SCREAMING_SNAKE_CASE_						).replace(SCREAMING_SNAKE_CASE_	,      """ """						).strip()
       return out_string







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = None						):
       if not os.path.isdir(SCREAMING_SNAKE_CASE_						):
            logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
            return
       UpperCamelCase__				=    os.path.join(
           SCREAMING_SNAKE_CASE_	,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

       if os.path.abspath(self.vocab_file						) != os.path.abspath(SCREAMING_SNAKE_CASE_						) and os.path.isfile(self.vocab_file						):
            copyfile(self.vocab_file	,      SCREAMING_SNAKE_CASE_						)
       elif not os.path.isfile(self.vocab_file						):
            with open(SCREAMING_SNAKE_CASE_	,      """wb"""						) as fi:
                 UpperCamelCase__				=    self.sp_model.serialized_model_proto()
                 fi.write(SCREAMING_SNAKE_CASE_						)

       return (out_vocab_file,)







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = "en_XX"	,      SCREAMING_SNAKE_CASE_ = None	,      SCREAMING_SNAKE_CASE_ = "ro_RO"	,      **SCREAMING_SNAKE_CASE_	,      ):
       UpperCamelCase__				=    src_lang
       UpperCamelCase__				=    tgt_lang
       return super().prepare_seqaseq_batch(SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						)







  def 	UpperCAmelCase_ (self						):
       return self.set_src_lang_special_tokens(self.src_lang						)







  def 	UpperCAmelCase_ (self						):
       return self.set_tgt_lang_special_tokens(self.tgt_lang						)







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    self.lang_code_to_id[src_lang]
       UpperCamelCase__				=    []
       UpperCamelCase__				=    [self.eos_token_id, self.cur_lang_code]







  def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=    self.lang_code_to_id[lang]
       UpperCamelCase__				=    []
       UpperCamelCase__				=    [self.eos_token_id, self.cur_lang_code]







import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


lowerCamelCase_						     =					logging.get_logger(__name__)




class      __A(    __lowerCamelCase			):

  """simple docstring"""







  def __init__(self	,      *SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						):
       warnings.warn(
           """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
           """ Please use SegformerImageProcessor instead."""	,      SCREAMING_SNAKE_CASE_	,      )
       super().__init__(*SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						)





