"""simple docstring"""






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__						:						Any		  =			logging.get_logger(__name__)

lowerCAmelCase__						:						str		  =			'▁'

lowerCAmelCase__						:						str		  =			{'vocab_file': 'sentencepiece.bpe.model'}

lowerCAmelCase__						:						Any		  =			{
    '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__						:						List[str]		  =			{
    'facebook/mbart-large-en-ro': 1_024,
    'facebook/mbart-large-cc25': 1_024,
}

# fmt: off
lowerCAmelCase__						:						Optional[int]		  =			['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        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				VOCAB_FILES_NAMES
					snake_case__       					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					snake_case__       					=				PRETRAINED_VOCAB_FILES_MAP
					snake_case__       					=				["input_ids", "attention_mask"]

					snake_case__       					=				[]
					snake_case__       					=				[]







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

									UpperCAmelCase__    =							{} if sp_model_kwargs is None else sp_model_kwargs

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

									UpperCAmelCase__    =							spm.SentencePieceProcessor(**self.sp_model_kwargs    )
									self.sp_model.Load(str(lowerCamelCase__    )    )
									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(lowerCamelCase__    )
									}
									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     :			Optional[Any]    ):
									UpperCAmelCase__    =							self.__dict__.copy()
									UpperCAmelCase__    =							None
									UpperCAmelCase__    =							self.sp_model.serialized_model_proto()
									return state







					def __setstate__(       self     :			Any					,lowerCamelCase__     :			Optional[int]    ):
									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 	__lowerCAmelCase		(       self     :			str    ):
									return len(self.sp_model    ) + len(self.lang_code_to_id    ) + self.fairseq_offset + 1  # Plus 1 for the mask token







					@property
					def 	__lowerCAmelCase		(       self     :			List[Any]    ):
									return self._src_lang







					@src_lang.setter
					def 	__lowerCAmelCase		(       self     :			Optional[int]					,lowerCamelCase__     :			str    ):
									UpperCAmelCase__    =							new_src_lang
									self.set_src_lang_special_tokens(self._src_lang    )







					def 	__lowerCAmelCase		(       self     :			str					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None					,lowerCamelCase__     :			bool = False    ):

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

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







					def 	__lowerCAmelCase		(       self     :			str					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = 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 	__lowerCAmelCase		(       self     :			int					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = 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 	__lowerCAmelCase		(       self     :			Optional[Any]					,lowerCamelCase__     :			Dict					,lowerCamelCase__     :			str					,lowerCamelCase__     :			Optional[str]					,lowerCamelCase__     :			Optional[str]					,**lowerCamelCase__     :			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'    )
									UpperCAmelCase__    =							src_lang
									UpperCAmelCase__    =							self(lowerCamelCase__					,add_special_tokens=lowerCamelCase__					,return_tensors=lowerCamelCase__					,**lowerCamelCase__    )
									UpperCAmelCase__    =							self.convert_tokens_to_ids(lowerCamelCase__    )
									UpperCAmelCase__    =							tgt_lang_id
									return inputs







					def 	__lowerCAmelCase		(       self     :			Union[str, Any]    ):
									UpperCAmelCase__    =							{self.convert_ids_to_tokens(lowerCamelCase__    ): i for i in range(self.vocab_size    )}
									vocab.update(self.added_tokens_encoder    )
									return vocab







					def 	__lowerCAmelCase		(       self     :			List[str]					,lowerCamelCase__     :			str    ):
									return self.sp_model.encode(lowerCamelCase__					,out_type=lowerCamelCase__    )







					def 	__lowerCAmelCase		(       self     :			List[str]					,lowerCamelCase__     :			Optional[Any]    ):
									if token in self.fairseq_tokens_to_ids:
													return self.fairseq_tokens_to_ids[token]
									UpperCAmelCase__    =							self.sp_model.PieceToId(lowerCamelCase__    )

									# 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 	__lowerCAmelCase		(       self     :			List[str]					,lowerCamelCase__     :			List[Any]    ):
									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 	__lowerCAmelCase		(       self     :			int					,lowerCamelCase__     :			int    ):
									UpperCAmelCase__    =							''.join(lowerCamelCase__    ).replace(lowerCamelCase__					,' '    ).strip()
									return out_string







					def 	__lowerCAmelCase		(       self     :			Any					,lowerCamelCase__     :			str					,lowerCamelCase__     :			Optional[str] = None    ):
									if not os.path.isdir(lowerCamelCase__    ):
													logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
													return
									UpperCAmelCase__    =							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__    ) and os.path.isfile(self.vocab_file    ):
													copyfile(self.vocab_file					,lowerCamelCase__    )
									elif not os.path.isfile(self.vocab_file    ):
													with open(lowerCamelCase__					,'wb'    ) as fi:
																	UpperCAmelCase__    =							self.sp_model.serialized_model_proto()
																	fi.write(lowerCamelCase__    )

									return (out_vocab_file,)







					def 	__lowerCAmelCase		(       self     :			Any					,lowerCamelCase__     :			List[str]					,lowerCamelCase__     :			str = "en_XX"					,lowerCamelCase__     :			Optional[List[str]] = None					,lowerCamelCase__     :			str = "ro_RO"					,**lowerCamelCase__     :			Union[str, Any]					,):
									UpperCAmelCase__    =							src_lang
									UpperCAmelCase__    =							tgt_lang
									return super().prepare_seqaseq_batch(lowerCamelCase__					,lowerCamelCase__					,**lowerCamelCase__    )







					def 	__lowerCAmelCase		(       self     :			str    ):
									return self.set_src_lang_special_tokens(self.src_lang    )







					def 	__lowerCAmelCase		(       self     :			List[Any]    ):
									return self.set_tgt_lang_special_tokens(self.tgt_lang    )







					def 	__lowerCAmelCase		(       self     :			List[str]					,lowerCamelCase__     :			List[Any]    ):
									UpperCAmelCase__    =							self.lang_code_to_id[src_lang]
									UpperCAmelCase__    =							[]
									UpperCAmelCase__    =							[self.eos_token_id, self.cur_lang_code]







					def 	__lowerCAmelCase		(       self     :			Optional[int]					,lowerCamelCase__     :			str    ):
									UpperCAmelCase__    =							self.lang_code_to_id[lang]
									UpperCAmelCase__    =							[]
									UpperCAmelCase__    =							[self.eos_token_id, self.cur_lang_code]




"""simple docstring"""






import re



def 						a_		(      lowerCamelCase ):
				return [char.split() for char in re.split(r'[^ a-z A-Z 0-9 \s]'      ,    str_ )]



def 						a_		(      lowerCamelCase ):
				UpperCAmelCase__    =							split_input(str_ )
				return "".join(
				    [''.join([char.capitalize() for char in sub_str] ) for sub_str in string_split] )



def 						a_		(      lowerCamelCase      ,    lowerCamelCase      ,    lowerCamelCase ):
				try:
								UpperCAmelCase__    =							split_input(lowerCamelCase )
								if upper:
												UpperCAmelCase__    =							''.join(
												    [
												        separator.join([char.upper() for char in sub_str] )
												        for sub_str in string_split
												    ] )
								else:
												UpperCAmelCase__    =							''.join(
												    [
												        separator.join([char.lower() for char in sub_str] )
												        for sub_str in string_split
												    ] )
								return res_str
				except IndexError:
								return "not valid string"



def 						a_		(      lowerCamelCase ):
				return to_simple_case(lowerCamelCase )



def 						a_		(      lowerCamelCase ):
				try:
								UpperCAmelCase__    =							to_simple_case(lowerCamelCase )
								return res_str[0].lower() + res_str[1:]
				except IndexError:
								return "not valid string"



def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return to_complex_case(lowerCamelCase      ,    lowerCamelCase      ,    '_' )



def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return to_complex_case(lowerCamelCase      ,    lowerCamelCase      ,    '-' )


if __name__ == "__main__":
						__import__('doctest').testmod()



