"""simple docstring"""






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""": 1_0_2_4,
    """facebook/mbart-large-cc25""": 1_0_2_4,
}

# 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		(__snake_case   ):






					'''simple docstring'''


					a 						=		VOCAB_FILES_NAMES
					a 						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					a 						=		PRETRAINED_VOCAB_FILES_MAP
					a 						=		["input_ids", "attention_mask"]
					a 						=		MBartTokenizer

					a 						=		[]
					a 						=		[]



					def __init__(    self      :					str ,			_snake_case      :					Any=None ,			_snake_case      :					Any=None ,			_snake_case      :					Any="<s>" ,			_snake_case      :					List[str]="</s>" ,			_snake_case      :					List[Any]="</s>" ,			_snake_case      :					str="<s>" ,			_snake_case      :					Union[str, Any]="<unk>" ,			_snake_case      :					List[str]="<pad>" ,			_snake_case      :					Tuple="<mask>" ,			_snake_case      :					Tuple=None ,			_snake_case      :					str=None ,			_snake_case      :					Dict=None ,			**_snake_case      :					Optional[Any] ,			)				->							Dict:
									# Mask token behave like a normal word, i.e. include the space before it
									SCREAMING_SNAKE_CASE__			=					AddedToken(_snake_case ,			lstrip=_snake_case ,			rstrip=_snake_case		) if isinstance(_snake_case ,			_snake_case		) else mask_token

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

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

									SCREAMING_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}		)
									SCREAMING_SNAKE_CASE__			=					{
									    lang_code: self.convert_tokens_to_ids(_snake_case		) for lang_code in FAIRSEQ_LANGUAGE_CODES
									}

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



					@property
					def       lowerCAmelCase_       (    self      :					Tuple		)				->							str:
									return self._src_lang



					@src_lang.setter
					def       lowerCAmelCase_       (    self      :					Optional[Any] ,			_snake_case      :					str		)				->							None:
									SCREAMING_SNAKE_CASE__			=					new_src_lang
									self.set_src_lang_special_tokens(self._src_lang		)



					def       lowerCAmelCase_       (    self      :					Any ,			_snake_case      :					List[int] ,			_snake_case      :					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       lowerCAmelCase_       (    self      :					List[str] ,			_snake_case      :					List[int] ,			_snake_case      :					Optional[List[int]] = None		)				->							List[int]:
									SCREAMING_SNAKE_CASE__			=					[self.sep_token_id]
									SCREAMING_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       lowerCAmelCase_       (    self      :					Union[str, Any] ,			_snake_case      :					Optional[Any] ,			_snake_case      :					str ,			_snake_case      :					Optional[str] ,			_snake_case      :					Optional[str] ,			**_snake_case      :					Optional[int]		)				->							Tuple:
									if src_lang is None or tgt_lang is None:
													raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"		)
									SCREAMING_SNAKE_CASE__			=					src_lang
									SCREAMING_SNAKE_CASE__			=					self(_snake_case ,			add_special_tokens=_snake_case ,			return_tensors=_snake_case ,			**_snake_case		)
									SCREAMING_SNAKE_CASE__			=					self.convert_tokens_to_ids(_snake_case		)
									SCREAMING_SNAKE_CASE__			=					tgt_lang_id
									return inputs



					def       lowerCAmelCase_       (    self      :					List[Any] ,			_snake_case      :					List[str] ,			_snake_case      :					str = "en_XX" ,			_snake_case      :					Optional[List[str]] = None ,			_snake_case      :					str = "ro_RO" ,			**_snake_case      :					List[str] ,			)				->							BatchEncoding:
									SCREAMING_SNAKE_CASE__			=					src_lang
									SCREAMING_SNAKE_CASE__			=					tgt_lang
									return super().prepare_seqaseq_batch(_snake_case ,			_snake_case ,			**_snake_case		)



					def       lowerCAmelCase_       (    self      :					Optional[int]		)				->							int:
									return self.set_src_lang_special_tokens(self.src_lang		)



					def       lowerCAmelCase_       (    self      :					str		)				->							List[Any]:
									return self.set_tgt_lang_special_tokens(self.tgt_lang		)



					def       lowerCAmelCase_       (    self      :					Any ,			_snake_case      :					str		)				->							None:
									SCREAMING_SNAKE_CASE__			=					self.convert_tokens_to_ids(_snake_case		)
									SCREAMING_SNAKE_CASE__			=					[]
									SCREAMING_SNAKE_CASE__			=					[self.eos_token_id, self.cur_lang_code]

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

									SCREAMING_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       lowerCAmelCase_       (    self      :					Any ,			_snake_case      :					str		)				->							None:
									SCREAMING_SNAKE_CASE__			=					self.convert_tokens_to_ids(_snake_case		)
									SCREAMING_SNAKE_CASE__			=					[]
									SCREAMING_SNAKE_CASE__			=					[self.eos_token_id, self.cur_lang_code]

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

									SCREAMING_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       lowerCAmelCase_       (    self      :					List[Any] ,			_snake_case      :					str ,			_snake_case      :					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(_snake_case		):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""		)
													return
									SCREAMING_SNAKE_CASE__			=					os.path.join(
									    _snake_case ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

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

									return (out_vocab_file,)






import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union




@dataclass
class   __lowercase						:
	_A       =   None
	_A       =   False
	_A       =   False
	_A       =   False
	_A       =   None
	_A       =   None
	_A       =   False
	_A       =   False
	_A       =   False
	_A       =   True
	_A       =   None
	_A       =   1
	_A       =   None
	_A       =   False
	_A       =   None
	_A       =   None






	def       _a(self				: str    ) ->			"DownloadConfig":
							return self.__class__(**{k: copy.deepcopy(snake_case    ) for k, v in self.__dict__.items()}    )




