





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

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


if is_sentencepiece_available():
  from .tokenization_xlm_roberta import XLMRobertaTokenizer
else:
  __UpperCAmelCase						=      None


__UpperCAmelCase						=      logging.get_logger(__name__)

__UpperCAmelCase						=      {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__UpperCAmelCase						=      {
    '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'
        ),
    },
    'tokenizer_file': {
        'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json',
        'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json',
        'xlm-roberta-large-finetuned-conll02-dutch': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json'
        ),
        'xlm-roberta-large-finetuned-conll02-spanish': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json'
        ),
        'xlm-roberta-large-finetuned-conll03-english': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json'
        ),
        'xlm-roberta-large-finetuned-conll03-german': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json'
        ),
    },
}

__UpperCAmelCase						=      {
    'xlm-roberta-base': 5_12,
    'xlm-roberta-large': 5_12,
    'xlm-roberta-large-finetuned-conll02-dutch': 5_12,
    'xlm-roberta-large-finetuned-conll02-spanish': 5_12,
    'xlm-roberta-large-finetuned-conll03-english': 5_12,
    'xlm-roberta-large-finetuned-conll03-german': 5_12,
}

class 		__a							(	__UpperCamelCase      ):
       __snake_case						:   List[str]      =		VOCAB_FILES_NAMES
       __snake_case						:   Any      =		PRETRAINED_VOCAB_FILES_MAP
       __snake_case						:   str      =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __snake_case						:   Optional[Any]      =		["""input_ids""", """attention_mask"""]
       __snake_case						:   Tuple      =		XLMRobertaTokenizer



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

           super().__init__(
               UpperCAmelCase					,			tokenizer_file=UpperCAmelCase					,			bos_token=UpperCAmelCase					,			eos_token=UpperCAmelCase					,			sep_token=UpperCAmelCase					,			cls_token=UpperCAmelCase					,			unk_token=UpperCAmelCase					,			pad_token=UpperCAmelCase					,			mask_token=UpperCAmelCase					,			**UpperCAmelCase					,			)

           lowerCAmelCase_					:	Dict						=   vocab_file
           lowerCAmelCase_					:	Dict						=   False if not self.vocab_file else True



       def  A							(     self	:   Union[str, Any]					,			UpperCAmelCase	:   List[int]					,			UpperCAmelCase	:   Optional[List[int]] = None			):

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



       def  A							(     self	:   Optional[Any]					,			UpperCAmelCase	:   List[int]					,			UpperCAmelCase	:   Optional[List[int]] = None			):
           lowerCAmelCase_					:	Tuple						=   [self.sep_token_id]
           lowerCAmelCase_					:	List[Any]						=   [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  A							(     self	:   List[str]					,			UpperCAmelCase	:   str					,			UpperCAmelCase	:   Optional[str] = None			):
           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(UpperCAmelCase			):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory.'			)
               return
           lowerCAmelCase_					:	int						=   os.path.join(
               UpperCAmelCase					,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)

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

           return (out_vocab_file,)









import math
def 			__UpperCamelCase				(			lowercase__	:       int		)	->      list:
    '''simple docstring'''





    if n <= 0:
        raise ValueError("""Only positive integers have prime factors"""		)
    lowerCAmelCase_					:	str						=   []
    while n % 2 == 0:
        pf.append(2		)
        lowerCAmelCase_					:	str						=   int(n / 2		)
    for i in range(3		,    int(math.sqrt(lowercase__		)		) + 1		,    2		):
        while n % i == 0:
            pf.append(lowercase__		)
            lowerCAmelCase_					:	List[Any]						=   int(n / i		)
    if n > 2:
        pf.append(lowercase__		)
    return pf
def 			__UpperCamelCase				(			lowercase__	:       int		)	->      int:
    '''simple docstring'''





    if n <= 0:
        raise ValueError("""Only positive numbers are accepted"""		)
    lowerCAmelCase_					:	Union[str, Any]						=   1
    lowerCAmelCase_					:	str						=   1
    while n % 2 == 0:
        temp += 1
        lowerCAmelCase_					:	Optional[Any]						=   int(n / 2		)
    div *= temp
    for i in range(3		,    int(math.sqrt(lowercase__		)		) + 1		,    2		):
        lowerCAmelCase_					:	Tuple						=   1
        while n % i == 0:
            temp += 1
            lowerCAmelCase_					:	Any						=   int(n / i		)
        div *= temp
    if n > 1:
        div *= 2
    return div
def 			__UpperCamelCase				(			lowercase__	:       int		)	->      int:
    '''simple docstring'''





    if n <= 0:
        raise ValueError("""Only positive numbers are accepted"""		)
    lowerCAmelCase_					:	Tuple						=   1
    lowerCAmelCase_					:	str						=   1
    while n % 2 == 0:
        temp += 1
        lowerCAmelCase_					:	Optional[int]						=   int(n / 2		)
    if temp > 1:
        s *= (2**temp - 1) / (2 - 1)
    for i in range(3		,    int(math.sqrt(lowercase__		)		) + 1		,    2		):
        lowerCAmelCase_					:	int						=   1
        while n % i == 0:
            temp += 1
            lowerCAmelCase_					:	Any						=   int(n / i		)
        if temp > 1:
            s *= (i**temp - 1) / (i - 1)
    return int(lowercase__		)
def 			__UpperCamelCase				(			lowercase__	:       int		)	->      int:
    '''simple docstring'''





    lowerCAmelCase_					:	str						=   n
    for x in set(prime_factors(lowercase__		)		):
        s *= (x - 1) / x
    return int(lowercase__		)


if __name__ == "__main__":
  import doctest

  doctest.testmod()


