
'''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:
	lowercase					:							List[str]   =      None


lowercase					:							Any   =      logging.get_logger(__name__)


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

lowercase					:							int   =      {
    "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",
    },
}

lowercase					:							str   =      {
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 1024,
}

# fmt: off
lowercase					:							Dict   =      ["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 		__UpperCAmelCase   (      _lowerCamelCase		):
							__lowercase   	= VOCAB_FILES_NAMES
							__lowercase   	= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase   	= PRETRAINED_VOCAB_FILES_MAP
							__lowercase   	= ["""input_ids""", """attention_mask"""]
							__lowercase   	= MBartTokenizer

							__lowercase   	= []
							__lowercase   	= []


							def __init__( self					,     lowerCAmelCase_=None					,     lowerCAmelCase_=None					,     lowerCAmelCase_="<s>"					,     lowerCAmelCase_="</s>"					,     lowerCAmelCase_="</s>"					,     lowerCAmelCase_="<s>"					,     lowerCAmelCase_="<unk>"					,     lowerCAmelCase_="<pad>"					,     lowerCAmelCase_="<mask>"					,     lowerCAmelCase_=None					,     lowerCAmelCase_=None					,     lowerCAmelCase_=None					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								_snake_case     		=	AddedToken(lowerCAmelCase_					,     lstrip=lowerCAmelCase_					,     rstrip=lowerCAmelCase_						) if isinstance(lowerCAmelCase_					,     lowerCAmelCase_						) else mask_token

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

								_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(lowerCAmelCase_						) 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 				lowerCamelCase       ( self						):





								"""simple docstring"""






								return self._src_lang


							@src_lang.setter
							def 				lowerCamelCase       ( self					,     lowerCAmelCase_						):





								"""simple docstring"""






								_snake_case     		=	new_src_lang
								self.set_src_lang_special_tokens(self._src_lang						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								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					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     **lowerCAmelCase_						):





								"""simple docstring"""






								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(lowerCAmelCase_					,     add_special_tokens=lowerCAmelCase_					,     return_tensors=lowerCAmelCase_					,     **lowerCAmelCase_						)
								_snake_case     		=	self.convert_tokens_to_ids(lowerCAmelCase_						)
								_snake_case     		=	tgt_lang_id
								return inputs


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = "en_XX"					,     lowerCAmelCase_ = None					,     lowerCAmelCase_ = "ro_RO"					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								_snake_case     		=	src_lang
								_snake_case     		=	tgt_lang
								return super().prepare_seqaseq_batch(lowerCAmelCase_					,     lowerCAmelCase_					,     **lowerCAmelCase_						)


							def 				lowerCamelCase       ( self						):





								"""simple docstring"""






								return self.set_src_lang_special_tokens(self.src_lang						)


							def 				lowerCamelCase       ( self						):





								"""simple docstring"""






								return self.set_tgt_lang_special_tokens(self.tgt_lang						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_						):





								"""simple docstring"""






								_snake_case     		=	self.convert_tokens_to_ids(lowerCAmelCase_						)
								_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 				lowerCamelCase       ( self					,     lowerCAmelCase_						):





								"""simple docstring"""






								_snake_case     		=	self.convert_tokens_to_ids(lowerCAmelCase_						)
								_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






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

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

								return (out_vocab_file,)



'''simple docstring'''







from __future__ import annotations







def        SCREAMING_SNAKE_CASE__			(     __A			) ->			int:
	if not nums:
		return 0
	_snake_case     		=	nums[0]
	_snake_case     		=	0
	for num in nums[1:]:
		_snake_case		,				_snake_case     		=	(
		    max_excluding + num,
		    max(__A    ,       __A			),
		)
	return max(__A    ,       __A			)


if __name__ == "__main__":
					import doctest

					doctest.testmod()

