

'''simple docstring'''




from __future__ import annotations






class   _SCREAMING_SNAKE_CASE    :



 def __init__(    self		:    Tuple ,      a__		:    Tuple			):
      __magic_name__						   =				value
      __magic_name__						   =				None
      __magic_name__						   =				None






class   _SCREAMING_SNAKE_CASE    :
 __SCREAMING_SNAKE_CASE     :int



 def __init__(    self		:    Union[str, Any]			):
      __magic_name__						   =				0



 def  snake_case__  (    self		:    Tuple ,      a__		:    Any ,      a__		:    Any			):

      if node is None:
           return

      if path_sum == self.target:
           self.paths += 1

      if node.left:
           self.depth_first_search(node.left ,      path_sum + node.left.value			)
      if node.right:
           self.depth_first_search(node.right ,      path_sum + node.right.value			)



 def  snake_case__  (    self		:    Optional[Any] ,      a__		:    str ,      a__		:    Optional[Any] = None			):

      if node is None:
           return 0
      if target is not None:
           __magic_name__						   =				target

      self.depth_first_search(lowercase_ ,      node.value			)
      self.path_sum(node.left			)
      self.path_sum(node.right			)

      return self.paths


if __name__ == "__main__":
      import doctest

      doctest.testmod()














import os
import re
import unicodedata
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


lowerCamelCase_						     =  logging.get_logger(__name__)
lowerCamelCase_						     =  {"""vocab_file""": """spiece.model"""}

lowerCamelCase_						     =  {
    """vocab_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/spiece.model""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/spiece.model""",
    },
}

lowerCamelCase_						     =  {
    """google/fnet-base""": 5_1_2,
    """google/fnet-large""": 5_1_2,
}

lowerCamelCase_						     =  """▁"""




class 							a_ (						a_		):


							'''simple docstring'''






							__a:	Optional[int]     =    VOCAB_FILES_NAMES
							__a:	Union[str, Any]     =    PRETRAINED_VOCAB_FILES_MAP
							__a:	List[Any]     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__a:	Any     =    ['''input_ids''', '''token_type_ids''']

							def __init__(		self			,			lowercase_			,			lowercase_=False			,			lowercase_=True			,			lowercase_=True			,			lowercase_="<unk>"			,			lowercase_="[SEP]"			,			lowercase_="<pad>"			,			lowercase_="[CLS]"			,			lowercase_="[MASK]"			,			lowercase_ = None			,			**lowercase_			,			)					->					None:
														'''simple docstring'''

														lowerCAmelCase_										=     (
														    AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_			,			normalized=lowercase_   )
														    if isinstance(lowercase_			,			lowercase_   )
														    else mask_token
														)

														lowerCAmelCase_										=     {} if sp_model_kwargs is None else sp_model_kwargs

														super().__init__(
														    do_lower_case=lowercase_			,			remove_space=lowercase_			,			keep_accents=lowercase_			,			unk_token=lowercase_			,			sep_token=lowercase_			,			pad_token=lowercase_			,			cls_token=lowercase_			,			mask_token=lowercase_			,			sp_model_kwargs=self.sp_model_kwargs			,			**lowercase_			,			)

														lowerCAmelCase_										=     do_lower_case
														lowerCAmelCase_										=     remove_space
														lowerCAmelCase_										=     keep_accents
														lowerCAmelCase_										=     vocab_file

														lowerCAmelCase_										=     spm.SentencePieceProcessor(**self.sp_model_kwargs   )
														self.sp_model.Load(lowercase_   )

							@property
							def      _lowercase       (		self   )					->					Optional[Any]:
														'''simple docstring'''

														return len(self.sp_model   )

							def      _lowercase       (		self   )					->					Dict:
														'''simple docstring'''

														lowerCAmelCase_										=     {self.convert_ids_to_tokens(lowercase_   ): i for i in range(self.vocab_size   )}
														vocab.update(self.added_tokens_encoder   )
														return vocab

							def __getstate__(		self   )					->					Dict:
														'''simple docstring'''

														lowerCAmelCase_										=     self.__dict__.copy()
														lowerCAmelCase_										=     None
														return state

							def __setstate__(		self			,			lowercase_   )					->					Optional[int]:
														'''simple docstring'''

														lowerCAmelCase_										=     d

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

														lowerCAmelCase_										=     spm.SentencePieceProcessor(**self.sp_model_kwargs   )
														self.sp_model.Load(self.vocab_file   )

							def      _lowercase       (		self			,			lowercase_   )					->					str:
														'''simple docstring'''

														if self.remove_space:
																					lowerCAmelCase_										=     ' '.join(inputs.strip().split()   )
														else:
																					lowerCAmelCase_										=     inputs
														lowerCAmelCase_										=     outputs.replace('``'			,			'"'   ).replace('\'\''			,			'"'   )

														if not self.keep_accents:
																					lowerCAmelCase_										=     unicodedata.normalize('NFKD'			,			lowercase_   )
																					lowerCAmelCase_										=     ''.join([c for c in outputs if not unicodedata.combining(lowercase_   )]   )
														if self.do_lower_case:
																					lowerCAmelCase_										=     outputs.lower()

														return outputs

							def      _lowercase       (		self			,			lowercase_   )					->					List[str]:
														'''simple docstring'''

														lowerCAmelCase_										=     self.preprocess_text(lowercase_   )
														lowerCAmelCase_										=     self.sp_model.encode(lowercase_			,			out_type=lowercase_   )
														lowerCAmelCase_										=     []
														for piece in pieces:
																					if len(lowercase_   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
																												lowerCAmelCase_										=     self.sp_model.EncodeAsPieces(piece[:-1].replace(lowercase_			,			''   )   )
																												if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																																			if len(cur_pieces[0]   ) == 1:
																																										lowerCAmelCase_										=     cur_pieces[1:]
																																			else:
																																										lowerCAmelCase_										=     cur_pieces[0][1:]
																												cur_pieces.append(piece[-1]   )
																												new_pieces.extend(lowercase_   )
																					else:
																												new_pieces.append(lowercase_   )

														return new_pieces

							def      _lowercase       (		self			,			lowercase_   )					->					Tuple:
														'''simple docstring'''

														return self.sp_model.PieceToId(lowercase_   )

							def      _lowercase       (		self			,			lowercase_   )					->					Union[str, Any]:
														'''simple docstring'''

														return self.sp_model.IdToPiece(lowercase_   )

							def      _lowercase       (		self			,			lowercase_   )					->					Union[str, Any]:
														'''simple docstring'''

														lowerCAmelCase_										=     []
														lowerCAmelCase_										=     ''
														lowerCAmelCase_										=     False
														for token in tokens:
																					# make sure that special tokens are not decoded using sentencepiece model
																					if token in self.all_special_tokens:
																												if not prev_is_special:
																																			out_string += " "
																												out_string += self.sp_model.decode(lowercase_   ) + token
																												lowerCAmelCase_										=     True
																												lowerCAmelCase_										=     []
																					else:
																												current_sub_tokens.append(lowercase_   )
																												lowerCAmelCase_										=     False
														out_string += self.sp_model.decode(lowercase_   )
														return out_string.strip()

							def      _lowercase       (		self			,			lowercase_			,			lowercase_ = False			,			lowercase_ = None			,			lowercase_ = True			,			**lowercase_			,			)					->					str:
														'''simple docstring'''

														lowerCAmelCase_										=     kwargs.pop('use_source_tokenizer'			,			lowercase_   )

														lowerCAmelCase_										=     self.convert_ids_to_tokens(lowercase_			,			skip_special_tokens=lowercase_   )

														# To avoid mixing byte-level and unicode for byte-level BPT
														# we need to build string separately for added tokens and byte-level tokens
														# cf. https://github.com/huggingface/transformers/issues/1133
														lowerCAmelCase_										=     []
														lowerCAmelCase_										=     []
														for token in filtered_tokens:
																					if skip_special_tokens and token in self.all_special_ids:
																												continue
																					if token in self.added_tokens_encoder:
																												if current_sub_text:
																																			sub_texts.append(self.convert_tokens_to_string(lowercase_   )   )
																																			lowerCAmelCase_										=     []
																												sub_texts.append(lowercase_   )
																					else:
																												current_sub_text.append(lowercase_   )
														if current_sub_text:
																					sub_texts.append(self.convert_tokens_to_string(lowercase_   )   )

														# Mimic the behavior of the Rust tokenizer:
														# No space after <unk>
														if spaces_between_special_tokens:
																					lowerCAmelCase_										=     re.sub(R'(<unk>) '			,			R'\1'			,			' '.join(lowercase_   )   )
														else:
																					lowerCAmelCase_										=     ''.join(lowercase_   )

														lowerCAmelCase_										=     (
														    clean_up_tokenization_spaces
														    if clean_up_tokenization_spaces is not None
														    else self.clean_up_tokenization_spaces
														)
														if clean_up_tokenization_spaces:
																					lowerCAmelCase_										=     self.clean_up_tokenization(lowercase_   )
																					return clean_text
														else:
																					return text

							def      _lowercase       (		self			,			lowercase_			,			lowercase_ = None   )					->					List[int]:
														'''simple docstring'''

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

							def      _lowercase       (		self			,			lowercase_			,			lowercase_ = None			,			lowercase_ = False   )					->					List[int]:
														'''simple docstring'''

														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 not None:
																					return [1] + ([0] * len(lowercase_   )) + [1] + ([0] * len(lowercase_   )) + [1]
														return [1] + ([0] * len(lowercase_   )) + [1]

							def      _lowercase       (		self			,			lowercase_			,			lowercase_ = None   )					->					List[int]:
														'''simple docstring'''

														lowerCAmelCase_										=     [self.sep_token_id]
														lowerCAmelCase_										=     [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   ) * [0] + len(token_ids_a + sep   ) * [1]






							def      _lowercase       (		self			,			lowercase_			,			lowercase_ = None   )					->					Tuple[str]:
														'''simple docstring'''

														if not os.path.isdir(lowercase_   ):
																					logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
																					return
														lowerCAmelCase_										=     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:
																												lowerCAmelCase_										=     self.sp_model.serialized_model_proto()
																												fi.write(lowercase_   )

														return (out_vocab_file,)



