



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

import sentencepiece as spm

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


__snake_case    :		List[str]  =logging.get_logger(__name__)

__snake_case    :		Union[str, Any]  ='▁'

__snake_case    :		int  ={'vocab_file': 'sentencepiece.bpe.model'}

__snake_case    :		Tuple  ={
    'vocab_file': {
        'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large-finetuned-conll02-dutch': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll02-spanish': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-english': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-german': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'
        ),
    }
}

__snake_case    :		Tuple  ={
    'xlm-roberta-base': 5_1_2,
    'xlm-roberta-large': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-dutch': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-spanish': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-english': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-german': 5_1_2,
}



class 	lowerCamelCase__      (							lowerCamelCase__):




		'''simple docstring'''



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



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

						"""simple docstring"""






						lowerCAmelCase__					:    Any												=					AddedToken(__lowerCamelCase		,lstrip=__lowerCamelCase		,rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase		,__lowerCamelCase			) else mask_token

						lowerCAmelCase__					:    List[Any]												=					{} 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		,sp_model_kwargs=self.sp_model_kwargs		,**__lowerCamelCase		,)

						lowerCAmelCase__					:    Any												=					spm.SentencePieceProcessor(**self.sp_model_kwargs			)
						self.sp_model.Load(str(__lowerCamelCase			)			)
						lowerCAmelCase__					:    List[str]												=					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
						lowerCAmelCase__					:    Dict												=					{'''<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
						lowerCAmelCase__					:    List[Any]												=					1

						lowerCAmelCase__					:    str												=					len(self.sp_model			) + self.fairseq_offset
						lowerCAmelCase__					:    Tuple												=					{v: k for k, v in self.fairseq_tokens_to_ids.items()}



		def __getstate__(self			)					->      List[Any]:

						"""simple docstring"""






						lowerCAmelCase__					:    Optional[Any]												=					self.__dict__.copy()
						lowerCAmelCase__					:    str												=					None
						lowerCAmelCase__					:    Optional[int]												=					self.sp_model.serialized_model_proto()
						return state



		def __setstate__(self		,__lowerCamelCase			)					->      Dict:

						"""simple docstring"""






						lowerCAmelCase__					:    Any												=					d

						# for backward compatibility
						if not hasattr(self		,'''sp_model_kwargs'''			):
										lowerCAmelCase__					:    Dict												=					{}

						lowerCAmelCase__					:    Union[str, Any]												=					spm.SentencePieceProcessor(**self.sp_model_kwargs			)
						self.sp_model.LoadFromSerializedProto(self.sp_model_proto			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase		,__lowerCamelCase = None			)					->      List[int]:

						"""simple docstring"""






						if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						lowerCAmelCase__					:    List[str]												=					[self.cls_token_id]
						lowerCAmelCase__					:    List[Any]												=					[self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep



		def 		lowerCAmelCase__				(self		,__lowerCamelCase		,__lowerCamelCase = None		,__lowerCamelCase = False			)					->      List[int]:

						"""simple docstring"""






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

						if token_ids_a is None:
										return [1] + ([0] * len(__lowerCamelCase			)) + [1]
						return [1] + ([0] * len(__lowerCamelCase			)) + [1, 1] + ([0] * len(__lowerCamelCase			)) + [1]



		def 		lowerCAmelCase__				(self		,__lowerCamelCase		,__lowerCamelCase = None			)					->      List[int]:

						"""simple docstring"""






						lowerCAmelCase__					:    Tuple												=					[self.sep_token_id]
						lowerCAmelCase__					:    Dict												=					[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]



		@property
		def 		lowerCAmelCase__				(self			)					->      Optional[Any]:

						"""simple docstring"""






						return len(self.sp_model			) + self.fairseq_offset + 1  # Add the <mask> token



		def 		lowerCAmelCase__				(self			)					->      Any:

						"""simple docstring"""






						lowerCAmelCase__					:    int												=					{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		,__lowerCamelCase			)					->      List[str]:

						"""simple docstring"""






						return self.sp_model.encode(__lowerCamelCase		,out_type=__lowerCamelCase			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      List[str]:

						"""simple docstring"""






						if token in self.fairseq_tokens_to_ids:
										return self.fairseq_tokens_to_ids[token]
						lowerCAmelCase__					:    Optional[int]												=					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		,__lowerCamelCase			)					->      Tuple:

						"""simple docstring"""






						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		,__lowerCamelCase			)					->      Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					''''''.join(__lowerCamelCase			).replace(__lowerCamelCase		,''' '''			).strip()
						return out_string



		def 		lowerCAmelCase__				(self		,__lowerCamelCase		,__lowerCamelCase = None			)					->      Tuple[str]:

						"""simple docstring"""






						if not os.path.isdir(__lowerCamelCase			):
										logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""			)
										return
						lowerCAmelCase__					:    Tuple												=					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:
														lowerCAmelCase__					:    Any												=					self.sp_model.serialized_model_proto()
														fi.write(__lowerCamelCase			)

						return (out_vocab_file,)






def      lowerCAmelCase__		(   lowerCamelCase_		:		int	,lowerCamelCase_		:		int):





				'''simple docstring'''

				while b:
								lowerCAmelCase__						,		lowerCAmelCase__					:    Optional[Any]												=					b, a % b
				return a






def      lowerCAmelCase__		(   lowerCamelCase_		:		int	,lowerCamelCase_		:		int):





				'''simple docstring'''

				return a if b == 0 else euclidean_gcd_recursive(lowerCamelCase_	,a % b)






def      lowerCAmelCase__		(   ):





				'''simple docstring'''

				print(f"""euclidean_gcd(3, 5) = {euclidean_gcd(3	,5)}""")
				print(f"""euclidean_gcd(5, 3) = {euclidean_gcd(5	,3)}""")
				print(f"""euclidean_gcd(1, 3) = {euclidean_gcd(1	,3)}""")
				print(f"""euclidean_gcd(3, 6) = {euclidean_gcd(3	,6)}""")
				print(f"""euclidean_gcd(6, 3) = {euclidean_gcd(6	,3)}""")

				print(f"""euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3	,5)}""")
				print(f"""euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5	,3)}""")
				print(f"""euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1	,3)}""")
				print(f"""euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3	,6)}""")
				print(f"""euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6	,3)}""")


if __name__ == "__main__":
							main()

