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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_mbart import MBartTokenizer
else:
   _A   =			None


_A   =			logging.get_logger(__name__)


_A   =			{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

_A   =			{
    """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"""
        ),
    },
    """tokenizer_file""": {
        """facebook/mbart-large-en-ro""": """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json""",
        """facebook/mbart-large-cc25""": """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json""",
    },
}

_A   =			{
    """facebook/mbart-large-en-ro""": 10_24,
    """facebook/mbart-large-cc25""": 10_24,
}

# fmt: off
_A   =			["""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 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							List[Any]									=		VOCAB_FILES_NAMES
     UpperCAmelCase__    :							Optional[Any]									=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase__    :							Optional[Any]									=		PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__    :							Optional[Any]									=		["input_ids", "attention_mask"]
     UpperCAmelCase__    :							Any									=		MBartTokenizer

     UpperCAmelCase__    :							List[int]									=		[]
     UpperCAmelCase__    :							List[int]									=		[]





     def __init__(self				:   Union[str, Any]    ,   _A				:   Optional[Any]=None    ,   _A				:   Dict=None    ,   _A				:   int="<s>"    ,   _A				:   Optional[Any]="</s>"    ,   _A				:   List[Any]="</s>"    ,   _A				:   Tuple="<s>"    ,   _A				:   Dict="<unk>"    ,   _A				:   List[Any]="<pad>"    ,   _A				:   Optional[int]="<mask>"    ,   _A				:   List[str]=None    ,   _A				:   str=None    ,   _A				:   int=None    ,   **_A				:   List[str]    ,   )						->						Optional[Any]:
         snake_case								= AddedToken(_A    ,   lstrip=_A    ,   rstrip=_A       ) if isinstance(_A    ,   _A       ) else mask_token

         super().__init__(
             vocab_file=_A    ,   tokenizer_file=_A    ,   bos_token=_A    ,   eos_token=_A    ,   sep_token=_A    ,   cls_token=_A    ,   unk_token=_A    ,   pad_token=_A    ,   mask_token=_A    ,   src_lang=_A    ,   tgt_lang=_A    ,   additional_special_tokens=_A    ,   **_A    ,   )

         snake_case								= vocab_file
         snake_case								= False if not self.vocab_file else True

         snake_case								= FAIRSEQ_LANGUAGE_CODES.copy()

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

         self.add_special_tokens({"additional_special_tokens": _additional_special_tokens}       )
         snake_case								= {
             lang_code: self.convert_tokens_to_ids(_A       ) for lang_code in FAIRSEQ_LANGUAGE_CODES
         }

         snake_case								= src_lang if src_lang is not None else "en_XX"
         snake_case								= self.convert_tokens_to_ids(self._src_lang       )
         snake_case								= tgt_lang
         self.set_src_lang_special_tokens(self._src_lang       )





     @property
     def 		UpperCAmelCase(self				:   Union[str, Any]       )						->						str:
         return self._src_lang





     @src_lang.setter
     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   str       )						->						None:
         snake_case								= new_src_lang
         self.set_src_lang_special_tokens(self._src_lang       )





     def 		UpperCAmelCase(self				:   Any    ,   _A				:   List[int]    ,   _A				:   Optional[List[int]] = None       )						->						List[int]:




         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				:   List[Any]    ,   _A				:   List[int]    ,   _A				:   Optional[List[int]] = None       )						->						List[int]:
         snake_case								= [self.sep_token_id]
         snake_case								= [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				:   Tuple    ,   _A				:   int    ,   _A				:   str    ,   _A				:   Optional[str]    ,   _A				:   Optional[str]    ,   **_A				:   List[Any]       )						->						List[Any]:




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





     def 		UpperCAmelCase(self				:   int    ,   _A				:   List[str]    ,   _A				:   str = "en_XX"    ,   _A				:   Optional[List[str]] = None    ,   _A				:   str = "ro_RO"    ,   **_A				:   Any    ,   )						->						BatchEncoding:
         snake_case								= src_lang
         snake_case								= tgt_lang
         return super().prepare_seqaseq_batch(_A    ,   _A    ,   **_A       )





     def 		UpperCAmelCase(self				:   int       )						->						str:
         return self.set_src_lang_special_tokens(self.src_lang       )





     def 		UpperCAmelCase(self				:   Dict       )						->						Any:
         return self.set_tgt_lang_special_tokens(self.tgt_lang       )





     def 		UpperCAmelCase(self				:   Union[str, Any]    ,   _A				:   Optional[int]       )						->						None:
         snake_case								= self.convert_tokens_to_ids(_A       )
         snake_case								= []
         snake_case								= [self.eos_token_id, self.cur_lang_code]

         snake_case								= self.convert_ids_to_tokens(self.prefix_tokens       )
         snake_case								= self.convert_ids_to_tokens(self.suffix_tokens       )

         snake_case								= processors.TemplateProcessing(
             single=prefix_tokens_str + ["$A"] + suffix_tokens_str    ,   pair=prefix_tokens_str + ["$A", "$B"] + suffix_tokens_str    ,   special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str    ,   self.prefix_tokens + self.suffix_tokens       )       )    ,   )





     def 		UpperCAmelCase(self				:   str    ,   _A				:   str       )						->						None:
         snake_case								= self.convert_tokens_to_ids(_A       )
         snake_case								= []
         snake_case								= [self.eos_token_id, self.cur_lang_code]

         snake_case								= self.convert_ids_to_tokens(self.prefix_tokens       )
         snake_case								= self.convert_ids_to_tokens(self.suffix_tokens       )

         snake_case								= processors.TemplateProcessing(
             single=prefix_tokens_str + ["$A"] + suffix_tokens_str    ,   pair=prefix_tokens_str + ["$A", "$B"] + suffix_tokens_str    ,   special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str    ,   self.prefix_tokens + self.suffix_tokens       )       )    ,   )





     def 		UpperCAmelCase(self				:   Optional[int]    ,   _A				:   str    ,   _A				:   Optional[str] = None       )						->						Tuple[str]:




         if not self.can_save_slow_tokenizer:
             raise ValueError(
                 "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                 "tokenizer."       )

         if not os.path.isdir(_A       ):
             logger.error(f'Vocabulary path ({save_directory}) should be a directory.'       )
             return
         snake_case								= os.path.join(
             _A    ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )

         if os.path.abspath(self.vocab_file       ) != os.path.abspath(_A       ):
             copyfile(self.vocab_file    ,   _A       )

         return (out_vocab_file,)



from ..utils import DummyObject, requires_backends







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							Union[str, Any]									=		["onnx"]





     def __init__(self				:   Tuple    ,   *_A				:   Optional[int]    ,   **_A				:   Any       )						->						Dict:
         requires_backends(self    ,   ["onnx"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   int    ,   *_A				:   Dict    ,   **_A				:   List[Any]       )						->						Optional[Any]:
         requires_backends(cls    ,   ["onnx"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Dict    ,   *_A				:   Tuple    ,   **_A				:   Optional[Any]       )						->						int:
         requires_backends(cls    ,   ["onnx"]       )

