



"""simple docstring"""


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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


snake_case_    					=	logging.get_logger(__name__)

snake_case_    					=	"""▁"""

snake_case_    					=	{"""vocab_file""": """sentencepiece.bpe.model"""}

snake_case_    					=	{
    """vocab_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
    }
}

snake_case_    					=	{
    """facebook/xglm-564M""": 2048,
}







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""
						__UpperCamelCase		    =							VOCAB_FILES_NAMES
						__UpperCamelCase		    =							PRETRAINED_VOCAB_FILES_MAP
						__UpperCamelCase		    =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__UpperCamelCase		    =							["""input_ids""", """attention_mask"""]






						def __init__( self			:str       ,  lowercase_			:Optional[Any]       ,  lowercase_			:Tuple="<s>"       ,  lowercase_			:Any="</s>"       ,  lowercase_			:str="</s>"       ,  lowercase_			:Any="<s>"       ,  lowercase_			:Optional[Any]="<unk>"       ,  lowercase_			:Optional[int]="<pad>"       ,  lowercase_			:Optional[Dict[str, Any]] = None       ,  **lowercase_			:int       ,  )    ->      None:
												UpperCAmelCase					=			{} if sp_model_kwargs is None else sp_model_kwargs

												# Compatibility with the original tokenizer
												UpperCAmelCase					=			7
												UpperCAmelCase					=			[f"""<madeupword{i}>""" for i in range(self.num_madeup_words )]

												UpperCAmelCase					=			kwargs.get('additional_special_tokens'       ,  [] )
												kwargs["additional_special_tokens"] += [
												    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
												]

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

												UpperCAmelCase					=			spm.SentencePieceProcessor(**self.sp_model_kwargs )
												self.sp_model.Load(str(lowercase_ ) )
												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'

												# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
												UpperCAmelCase					=			1

												# Mimic fairseq token-to-id alignment for the first 4 token
												UpperCAmelCase					=			{'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

												UpperCAmelCase					=			len(self.sp_model )
												UpperCAmelCase					=			{f"""<madeupword{i}>""": sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words )}
												self.fairseq_tokens_to_ids.update(lowercase_ )

												UpperCAmelCase					=			{v: k for k, v in self.fairseq_tokens_to_ids.items()}






						def __getstate__( self			:Any )    ->      int:
												UpperCAmelCase					=			self.__dict__.copy()
												UpperCAmelCase					=			None
												UpperCAmelCase					=			self.sp_model.serialized_model_proto()
												return state






						def __setstate__( self			:List[str]       ,  lowercase_			:Dict )    ->      Optional[Any]:
												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 )






						def      UpperCAmelCase__					( self			:Optional[int]       ,  lowercase_			:List[int]       ,  lowercase_			:Optional[List[int]] = None )    ->      List[int]:

												if token_ids_a is None:
																		return [self.sep_token_id] + token_ids_a
												UpperCAmelCase					=			[self.sep_token_id]
												return sep + token_ids_a + sep + sep + token_ids_a






						def      UpperCAmelCase__					( self			:Tuple       ,  lowercase_			:List[int]       ,  lowercase_			:Optional[List[int]] = None       ,  lowercase_			:bool = False )    ->      List[int]:

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

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






						def      UpperCAmelCase__					( self			:Union[str, Any]       ,  lowercase_			:List[int]       ,  lowercase_			:Optional[List[int]] = None )    ->      List[int]:
												UpperCAmelCase					=			[self.sep_token_id]

												if token_ids_a is None:
																		return len(sep + token_ids_a ) * [0]
												return len(sep + token_ids_a + sep + sep + token_ids_a ) * [0]






						@property
						def      UpperCAmelCase__					( self			:Any )    ->      Tuple:
												return len(self.sp_model ) + self.fairseq_offset + self.num_madeup_words






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Dict:
												UpperCAmelCase					=			{self.convert_ids_to_tokens(lowercase_ ): i for i in range(self.vocab_size )}
												vocab.update(self.added_tokens_encoder )
												return vocab






						def      UpperCAmelCase__					( self			:Any       ,  lowercase_			:str )    ->      List[str]:
												return self.sp_model.encode(lowercase_       ,  out_type=lowercase_ )






						def      UpperCAmelCase__					( self			:List[Any]       ,  lowercase_			:Tuple )    ->      Dict:
												if token in self.fairseq_tokens_to_ids:
																		return self.fairseq_tokens_to_ids[token]
												UpperCAmelCase					=			self.sp_model.PieceToId(lowercase_ )

												# 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      UpperCAmelCase__					( self			:Tuple       ,  lowercase_			:Tuple )    ->      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      UpperCAmelCase__					( self			:Dict       ,  lowercase_			:List[str] )    ->      List[str]:
												UpperCAmelCase					=			''.join(lowercase_ ).replace(lowercase_       ,  ' ' ).strip()
												return out_string






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

												if os.path.abspath(self.vocab_file ) != os.path.abspath(lowercase_ ) and os.path.isfile(self.vocab_file ):
																		copyfile(self.vocab_file       ,  lowercase_ )
												elif not os.path.isfile(self.vocab_file ):
																		with open(lowercase_       ,  'wb' ) as fi:
																								UpperCAmelCase					=			self.sp_model.serialized_model_proto()
																								fi.write(lowercase_ )

												return (out_vocab_file,)










"""simple docstring"""


def 			_lowerCAmelCase				(       lowercase_						):

						if not isinstance(lowercase_		,     lowercase_						):
												UpperCAmelCase					=			F"""Input value of [number={number}] must be an integer"""
												raise TypeError(lowercase_						)

						if number < 1:
												UpperCAmelCase					=			F"""Input value of [number={number}] must be > 0"""
												raise ValueError(lowercase_						)

						UpperCAmelCase					=			1

						for i in range(1		,     lowercase_						):
												current_number *= 4 * i - 2
												current_number //= i + 1

						return current_number


if __name__ == "__main__":
				import doctest

				doctest.testmod()





