





'''simple docstring'''

import os
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 SPIECE_UNDERLINE, logging


__lowerCAmelCase							:	List[Any]			=logging.get_logger(__name__)

__lowerCAmelCase							:	List[Any]			={"vocab_file": "spiece.model"}

__lowerCAmelCase							:	Any			={
    "vocab_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model",
    }
}

__lowerCAmelCase							:	Tuple			={
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

# Segments (not really needed)
__lowerCAmelCase							:	str			=0
__lowerCAmelCase							:	List[str]			=1
__lowerCAmelCase							:	int			=2
__lowerCAmelCase							:	Optional[int]			=3
__lowerCAmelCase							:	Tuple			=4






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				VOCAB_FILES_NAMES
 __lowercase   		=				PRETRAINED_VOCAB_FILES_MAP
 __lowercase   		=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase   		=				"""left"""
 def __init__(				self      :Optional[Any]						,       lowercase_      :int						,       lowercase_      :List[str]=False						,       lowercase_      :List[Any]=True						,       lowercase_      :Union[str, Any]=False						,       lowercase_      :List[Any]="<s>"						,       lowercase_      :Optional[Any]="</s>"						,       lowercase_      :Optional[Any]="<unk>"						,       lowercase_      :List[Any]="<sep>"						,       lowercase_      :str="<pad>"						,       lowercase_      :Tuple="<cls>"						,       lowercase_      :List[Any]="<mask>"						,       lowercase_      :List[str]=["<eop>", "<eod>"]						,       lowercase_      :Optional[Dict[str, Any]] = None						,       **lowercase_      :Optional[int]						,       )->							None:
     # Mask token behave like a normal word, i.e. include the space before it
     A__				=			AddedToken(lowercase_						,       lstrip=lowercase_						,       rstrip=lowercase_							) if isinstance(lowercase_						,       lowercase_							) else mask_token

     A__				=			{} if sp_model_kwargs is None else sp_model_kwargs

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

     A__				=			3

     A__				=			do_lower_case
     A__				=			remove_space
     A__				=			keep_accents
     A__				=			vocab_file

     A__				=			spm.SentencePieceProcessor(**self.sp_model_kwargs							)
     self.sp_model.Load(lowercase_							)
 @property
 def      UpperCAmelCase_							(				self      :Tuple							)->							Tuple:
     return len(self.sp_model							)
 def      UpperCAmelCase_							(				self      :int							)->							Optional[Any]:
     A__				=			{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      :str							)->							str:
     A__				=			self.__dict__.copy()
     A__				=			None
     return state
 def __setstate__(				self      :Dict						,       lowercase_      :int							)->							int:
     A__				=			d

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

     A__				=			spm.SentencePieceProcessor(**self.sp_model_kwargs							)
     self.sp_model.Load(self.vocab_file							)
 def      UpperCAmelCase_							(				self      :int						,       lowercase_      :int							)->							str:
     if self.remove_space:
         A__				=			" ".join(inputs.strip().split()							)
     else:
         A__				=			inputs
     A__				=			outputs.replace("``"						,       "\""							).replace("''"						,       "\""							)

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

     return outputs
 def      UpperCAmelCase_							(				self      :List[str]						,       lowercase_      :str							)->							List[str]:
     A__				=			self.preprocess_text(lowercase_							)
     A__				=			self.sp_model.encode(lowercase_						,       out_type=lowercase_							)
     A__				=			[]
     for piece in pieces:
         if len(lowercase_							) > 1 and piece[-1] == str(","							) and piece[-2].isdigit():
             A__				=			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:
                     A__				=			cur_pieces[1:]
                 else:
                     A__				=			cur_pieces[0][1:]
             cur_pieces.append(piece[-1]							)
             new_pieces.extend(lowercase_							)
         else:
             new_pieces.append(lowercase_							)

     return new_pieces
 def      UpperCAmelCase_							(				self      :int						,       lowercase_      :int							)->							int:
     return self.sp_model.PieceToId(lowercase_							)
 def      UpperCAmelCase_							(				self      :Optional[Any]						,       lowercase_      :List[str]							)->							Union[str, Any]:
     return self.sp_model.IdToPiece(lowercase_							)
 def      UpperCAmelCase_							(				self      :Optional[Any]						,       lowercase_      :Any							)->							Tuple:
     A__				=			"".join(lowercase_							).replace(lowercase_						,       " "							).strip()
     return out_string
 def      UpperCAmelCase_							(				self      :List[Any]						,       lowercase_      :List[int]						,       lowercase_      :bool = False						,       lowercase_      :bool = None						,       lowercase_      :bool = True						,       **lowercase_      :Dict						,       )->							str:
     A__				=			kwargs.pop("use_source_tokenizer"						,       lowercase_							)

     A__				=			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
     A__				=			[]
     A__				=			[]
     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_							)							)
                 A__				=			[]
             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:
     # By default, there are no spaces between special tokens
     A__				=			"".join(lowercase_							)

     A__				=			(
         clean_up_tokenization_spaces
         if clean_up_tokenization_spaces is not None
         else self.clean_up_tokenization_spaces
     )
     if clean_up_tokenization_spaces:
         A__				=			self.clean_up_tokenization(lowercase_							)
         return clean_text
     else:
         return text
 def      UpperCAmelCase_							(				self      :Any						,       lowercase_      :List[int]						,       lowercase_      :Optional[List[int]] = None							)->							List[int]:
     A__				=			[self.sep_token_id]
     A__				=			[self.cls_token_id]
     if token_ids_a is None:
         return token_ids_a + sep + cls
     return token_ids_a + sep + token_ids_a + sep + cls
 def      UpperCAmelCase_							(				self      :List[str]						,       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 not None:
         return ([0] * len(lowercase_							)) + [1] + ([0] * len(lowercase_							)) + [1, 1]
     return ([0] * len(lowercase_							)) + [1, 1]
 def      UpperCAmelCase_							(				self      :Tuple						,       lowercase_      :List[int]						,       lowercase_      :Optional[List[int]] = None							)->							List[int]:
     A__				=			[self.sep_token_id]
     A__				=			[2]

     if token_ids_a is None:
         return len(token_ids_a + sep							) * [0] + cls_segment_id
     return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id



 def      UpperCAmelCase_							(				self      :int						,       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
     A__				=			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:
             A__				=			self.sp_model.serialized_model_proto()
             fi.write(lowercase_							)

     return (out_vocab_file,)










'''simple docstring'''

from __future__ import annotations





def 						UpperCamelCase				(							_lowerCamelCase					:					list[int | str]       ):
    create_state_space_tree(_lowerCamelCase						,       []						,       0						,       [0 for i in range(len(_lowerCamelCase       )       )]       )





def 						UpperCamelCase				(							_lowerCamelCase					:					list[int | str]						,       _lowerCamelCase					:					list[int | str]						,       _lowerCamelCase					:					int						,       _lowerCamelCase					:					list[int]						,       ):

    if index == len(_lowerCamelCase       ):
        print(_lowerCamelCase       )
        return

    for i in range(len(_lowerCamelCase       )       ):
        if not index_used[i]:
            current_sequence.append(sequence[i]       )
            A__				=			True
            create_state_space_tree(_lowerCamelCase						,       _lowerCamelCase						,       index + 1						,       _lowerCamelCase       )
            current_sequence.pop()
            A__				=			False
__lowerCAmelCase							:	list[int | str]			=[3, 1, 2, 4]
generate_all_permutations(sequence)

__lowerCAmelCase							:	list[int | str]			=["A", "B", "C"]



generate_all_permutations(sequence_a)



