
"""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, PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase       =  logging.get_logger(__name__)

__UpperCAmelCase       =  '▁'

__UpperCAmelCase       =  {'vocab_file': 'sentencepiece.bpe.model'}

__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'
        ),
    }
}

__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 			_SCREAMING_SNAKE_CASE					(			A__							):
			UpperCAmelCase_  :str				 =						VOCAB_FILES_NAMES
			UpperCAmelCase_  :int				 =						PRETRAINED_VOCAB_FILES_MAP
			UpperCAmelCase_  :Any				 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCAmelCase_  :Optional[int]				 =						["input_ids", "attention_mask"]






			def __init__(					self       ,   __A       ,   __A="<s>"       ,   __A="</s>"       ,   __A="</s>"       ,   __A="<s>"       ,   __A="<unk>"       ,   __A="<pad>"       ,   __A="<mask>"       ,   __A = None       ,   **__A       ,   )			->     None:
						# Mask token behave like a normal word, i.e. include the space before it
						lowerCAmelCase_    :int			     =  AddedToken(__A       ,   lstrip=__A       ,   rstrip=__A       ) if isinstance(__A       ,   __A       ) else mask_token

						lowerCAmelCase_    :Dict			     =  {} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    bos_token=__A       ,   eos_token=__A       ,   unk_token=__A       ,   sep_token=__A       ,   cls_token=__A       ,   pad_token=__A       ,   mask_token=__A       ,   sp_model_kwargs=self.sp_model_kwargs       ,   **__A       ,   )

						lowerCAmelCase_    :Optional[Any]			     =  spm.SentencePieceProcessor(**self.sp_model_kwargs       )
						self.sp_model.Load(str(__A       )       )
						lowerCAmelCase_    :Optional[Any]			     =  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[str]			     =  1

						lowerCAmelCase_    :int			     =  len(self.sp_model       ) + self.fairseq_offset
						lowerCAmelCase_    :int			     =  {v: k for k, v in self.fairseq_tokens_to_ids.items()}






			def __getstate__(					self       )			->     Dict:
						lowerCAmelCase_    :List[str]			     =  self.__dict__.copy()
						lowerCAmelCase_    :Tuple			     =  None
						lowerCAmelCase_    :Dict			     =  self.sp_model.serialized_model_proto()
						return state






			def __setstate__(					self       ,   __A       )			->     Optional[int]:
						lowerCAmelCase_    :Union[str, Any]			     =  d

						# for backward compatibility
						if not hasattr(self       ,   """sp_model_kwargs"""       ):
									lowerCAmelCase_    :str			     =  {}

						lowerCAmelCase_    :List[str]			     =  spm.SentencePieceProcessor(**self.sp_model_kwargs       )
						self.sp_model.LoadFromSerializedProto(self.sp_model_proto       )






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       )			->     List[int]:

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






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       ,   __A = False       )			->     List[int]:

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

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






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       )			->     List[int]:
						lowerCAmelCase_    :Optional[Any]			     =  [self.sep_token_id]
						lowerCAmelCase_    :Optional[int]			     =  [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       )			->     Tuple:
						return len(self.sp_model       ) + self.fairseq_offset + 1  # Add the <mask> token






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






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






			def  __lowerCAmelCase (					self       ,   __A       )			->     Optional[int]:
						if token in self.fairseq_tokens_to_ids:
									return self.fairseq_tokens_to_ids[token]
						lowerCAmelCase_    :Optional[Any]			     =  self.sp_model.PieceToId(__A       )

						# 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       ,   __A       )			->     Optional[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       ,   __A       )			->     Tuple:
						lowerCAmelCase_    :List[str]			     =  """""".join(__A       ).replace(__A       ,   """ """       ).strip()
						return out_string






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       )			->     Tuple[str]:
						if not os.path.isdir(__A       ):
									logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""       )
									return
						lowerCAmelCase_    :Tuple			     =  os.path.join(
						    __A       ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

						if os.path.abspath(self.vocab_file       ) != os.path.abspath(__A       ) and os.path.isfile(self.vocab_file       ):
									copyfile(self.vocab_file       ,   __A       )
						elif not os.path.isfile(self.vocab_file       ):
									with open(__A       ,   """wb"""       ) as fi:
												lowerCAmelCase_    :int			     =  self.sp_model.serialized_model_proto()
												fi.write(__A       )

						return (out_vocab_file,)








"""simple docstring"""




import math
import unittest

def lowercase_  (   _snake_case						):
							assert isinstance(_snake_case   ,_snake_case						) and (
							    number >= 0
							), "'number' must been an int and positive"

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5   ,int(math.sqrt(_snake_case						) + 1						)   ,6						):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True



class 	lowerCAmelCase_						(unittest.TestCase  ):


				"""simple docstring"""



				def 	__magic_name__    (self    )					->		Dict:



											"""simple docstring"""




											self.assertTrue(is_prime(2    )    )
											self.assertTrue(is_prime(3    )    )
											self.assertTrue(is_prime(5    )    )
											self.assertTrue(is_prime(7    )    )
											self.assertTrue(is_prime(11    )    )
											self.assertTrue(is_prime(13    )    )
											self.assertTrue(is_prime(17    )    )
											self.assertTrue(is_prime(19    )    )
											self.assertTrue(is_prime(23    )    )
											self.assertTrue(is_prime(29    )    )



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



											"""simple docstring"""




											with self.assertRaises(SCREAMING_SNAKE_CASE__    ):
																		is_prime(-19    )
											self.assertFalse(
											    is_prime(0    )   ,       """Zero doesn't have any positive factors, primes must have exactly two."""   ,       )
											self.assertFalse(
											    is_prime(1    )   ,       """One only has 1 positive factor, primes must have exactly two."""   ,       )
											self.assertFalse(is_prime(2 * 2    )    )
											self.assertFalse(is_prime(2 * 3    )    )
											self.assertFalse(is_prime(3 * 3    )    )
											self.assertFalse(is_prime(3 * 5    )    )
											self.assertFalse(is_prime(3 * 5 * 7    )    )


if __name__ == "__main__":
					unittest.main()




