



from abc import ABC, abstractmethod
from typing import List, Optional

class    _A	(     __UpperCAmelCase   ):



       def __init__(		self							:					Dict):


           '''simple docstring'''

           self.test()



       def 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

           __a							=    0
           __a							=    False
           while not completed:
               if counter == 1:
                   self.reset()
               __a							=    self.advance()
               if not self.does_advance(__SCREAMING_SNAKE_CASE):
                   raise Exception(
                       '''Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.''')

               __a	,       __a	,       __a							=    self.update(__SCREAMING_SNAKE_CASE)
               counter += 1

               if counter > 10_000:
                   raise Exception('''update() does not fulfill the constraint.''')

           if self.remaining() != 0:
               raise Exception('''Custom Constraint is not defined correctly.''')



       @abstractmethod
       def 		_lowerCamelCase      (		self							:					Optional[Any]):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase      (		self							:					Optional[int]					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase      (		self							:					List[Any]					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase      (		self							:					List[Any]):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase      (		self							:					Union[str, Any]):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')





       @abstractmethod
       def 		_lowerCamelCase      (		self							:					Tuple					,		__SCREAMING_SNAKE_CASE							:					Any=False):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')


class    _A	(     __UpperCAmelCase   ):



       def __init__(		self							:					Union[str, Any]					,		__SCREAMING_SNAKE_CASE							:					List[int]):


           '''simple docstring'''

           super(__SCREAMING_SNAKE_CASE					,		self).__init__()

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE) or len(__SCREAMING_SNAKE_CASE) == 0:
               raise ValueError(F'`token_ids` has to be a non-empty list, but is {token_ids}.')
           if any((not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE) or token_id < 0) for token_id in token_ids):
               raise ValueError(F'Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.')

           __a							=    token_ids

           __a							=    len(self.token_ids)
           __a							=    -1  # the index of the currently fulfilled step
           __a							=    False



       def 		_lowerCamelCase      (		self							:					Any):


           '''simple docstring'''

           if self.completed:
               return None
           return self.token_ids[self.fulfilled_idx + 1]



       def 		_lowerCamelCase      (		self							:					int					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` has to be an `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           if self.completed:
               return False

           return token_id == self.token_ids[self.fulfilled_idx + 1]



       def 		_lowerCamelCase      (		self							:					Dict					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` has to be an `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           __a							=    False
           __a							=    False
           __a							=    False

           if self.does_advance(__SCREAMING_SNAKE_CASE):
               self.fulfilled_idx += 1
               __a							=    True
               if self.fulfilled_idx == (self.seqlen - 1):
                   __a							=    True
               __a							=    completed
           else:
               # failed to make progress.
               __a							=    True
               self.reset()
           return stepped, completed, reset



       def 		_lowerCamelCase      (		self							:					List[Any]):


           '''simple docstring'''

           __a							=    False
           __a							=    0



       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''simple docstring'''

           return self.seqlen - (self.fulfilled_idx + 1)





       def 		_lowerCamelCase      (		self							:					str					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]=False):


           '''simple docstring'''

           __a							=    PhrasalConstraint(self.token_ids)

           if stateful:
               __a							=    self.seqlen
               __a							=    self.fulfilled_idx
               __a							=    self.completed

           return new_constraint


class    _A	:



       def __init__(		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					List[List[int]]					,		__SCREAMING_SNAKE_CASE							:					List[str]=True):


           '''simple docstring'''

           __a							=    max([len(__SCREAMING_SNAKE_CASE) for one in nested_token_ids])

           __a							=    {}
           for token_ids in nested_token_ids:
               __a							=    root
               for tidx, token_id in enumerate(__SCREAMING_SNAKE_CASE):
                   if token_id not in level:
                       __a							=    {}

                   __a							=    level[token_id]

           if no_subsets and self.has_subsets(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
               raise ValueError(
                   '''Each list in `nested_token_ids` can\'t be a complete subset of another list, but is'''
                   F' {nested_token_ids}.')

           __a							=    root



       def 		_lowerCamelCase      (		self							:					Union[str, Any]					,		__SCREAMING_SNAKE_CASE							:					str):


           '''simple docstring'''

           __a							=    self.trie

           for current_token in current_seq:
               __a							=    start[current_token]

           __a							=    list(start.keys())

           return next_tokens



       def 		_lowerCamelCase      (		self							:					Any					,		__SCREAMING_SNAKE_CASE							:					List[str]):


           '''simple docstring'''

           __a							=    self.next_tokens(__SCREAMING_SNAKE_CASE)

           return len(__SCREAMING_SNAKE_CASE) == 0



       def 		_lowerCamelCase      (		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					List[Any]):


           '''simple docstring'''

           __a							=    list(root.values())
           if len(__SCREAMING_SNAKE_CASE) == 0:
               return 1
           else:
               return sum([self.count_leaves(__SCREAMING_SNAKE_CASE) for nn in next_nodes])





       def 		_lowerCamelCase      (		self							:					List[str]					,		__SCREAMING_SNAKE_CASE							:					Dict					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           __a							=    self.count_leaves(__SCREAMING_SNAKE_CASE)
           return len(__SCREAMING_SNAKE_CASE) != leaf_count


class    _A	(     __UpperCAmelCase   ):



       def __init__(		self							:					Tuple					,		__SCREAMING_SNAKE_CASE							:					List[List[int]]):


           '''simple docstring'''

           super(__SCREAMING_SNAKE_CASE					,		self).__init__()

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE) or len(__SCREAMING_SNAKE_CASE) == 0:
               raise ValueError(F'`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.')
           if any(not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE) for token_ids in nested_token_ids):
               raise ValueError(F'`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.')
           if any(
               any((not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE) or token_id < 0) for token_id in token_ids)
               for token_ids in nested_token_ids):
               raise ValueError(
                   F'Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.')

           __a							=    DisjunctiveTrie(__SCREAMING_SNAKE_CASE)
           __a							=    nested_token_ids

           __a							=    self.trie.max_height
           __a							=    []
           __a							=    False



       def 		_lowerCamelCase      (		self							:					Union[str, Any]):


           '''simple docstring'''

           __a							=    self.trie.next_tokens(self.current_seq)

           if len(__SCREAMING_SNAKE_CASE) == 0:
               return None
           else:
               return token_list



       def 		_lowerCamelCase      (		self							:					Dict					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` is supposed to be type `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           __a							=    self.trie.next_tokens(self.current_seq)

           return token_id in next_tokens



       def 		_lowerCamelCase      (		self							:					List[str]					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` is supposed to be type `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           __a							=    False
           __a							=    False
           __a							=    False

           if self.does_advance(__SCREAMING_SNAKE_CASE):
               self.current_seq.append(__SCREAMING_SNAKE_CASE)
               __a							=    True
           else:
               __a							=    True
               self.reset()

           __a							=    self.trie.reached_leaf(self.current_seq)
           __a							=    completed

           return stepped, completed, reset



       def 		_lowerCamelCase      (		self							:					Any):


           '''simple docstring'''

           __a							=    False
           __a							=    []



       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''simple docstring'''

           if self.completed:
               # since this can be completed without reaching max height
               return 0
           else:
               return self.seqlen - len(self.current_seq)





       def 		_lowerCamelCase      (		self							:					List[Any]					,		__SCREAMING_SNAKE_CASE							:					int=False):


           '''simple docstring'''

           __a							=    DisjunctiveConstraint(self.token_ids)

           if stateful:
               __a							=    self.seqlen
               __a							=    self.current_seq
               __a							=    self.completed

           return new_constraint


class    _A	:



       def __init__(		self							:					str					,		__SCREAMING_SNAKE_CASE							:					List[Constraint]):


           '''simple docstring'''

           __a							=    constraints

           # max # of steps required to fulfill a given constraint
           __a							=    max([c.seqlen for c in constraints])
           __a							=    len(__SCREAMING_SNAKE_CASE)
           __a							=    False

           self.init_state()



       def 		_lowerCamelCase      (		self							:					str):


           '''simple docstring'''

           __a							=    []
           __a							=    None
           __a							=    [constraint.copy(stateful=__SCREAMING_SNAKE_CASE) for constraint in self.constraints]



       def 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

           __a							=    0
           if self.inprogress_constraint:
               # extra points for having a constraint mid-fulfilled
               add += self.max_seqlen - self.inprogress_constraint.remaining()

           return (len(self.complete_constraints) * self.max_seqlen) + add



       def 		_lowerCamelCase      (		self							:					Union[str, Any]):


           '''simple docstring'''

           __a							=    []
           if self.inprogress_constraint is None:
               for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
                   __a							=    constraint.advance()
                   if isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
                       token_list.append(__SCREAMING_SNAKE_CASE)
                   elif isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
                       token_list.extend(__SCREAMING_SNAKE_CASE)
           else:
               __a							=    self.inprogress_constraint.advance()
               if isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
                   token_list.append(__SCREAMING_SNAKE_CASE)
               elif isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
                   token_list.extend(__SCREAMING_SNAKE_CASE)

           if len(__SCREAMING_SNAKE_CASE) == 0:
               return None
           else:
               return token_list



       def 		_lowerCamelCase      (		self							:					List[Any]					,		__SCREAMING_SNAKE_CASE							:					Optional[List[int]]):


           '''simple docstring'''

           self.init_state()

           if token_ids is not None:
               for token in token_ids:
                   # completes or steps **one** constraint
                   __a	,       __a							=    self.add(__SCREAMING_SNAKE_CASE)

                   # the entire list of constraints are fulfilled
                   if self.completed:
                       break



       def 		_lowerCamelCase      (		self							:					Any					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` should be an `int`, but is `{token_id}`.')

           __a	,       __a							=    False, False

           if self.completed:
               __a							=    True
               __a							=    False
               return complete, stepped

           if self.inprogress_constraint is not None:
               # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
               # job, simply update the state

               __a	,       __a	,       __a							=    self.inprogress_constraint.update(__SCREAMING_SNAKE_CASE)
               if reset:
                   # 1. If the next token breaks the progress, then we must restart.
                   #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

                   #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
                   #     constraint, not the full list of constraints.

                   self.pending_constraints.append(self.inprogress_constraint.copy(stateful=__SCREAMING_SNAKE_CASE))
                   __a							=    None

               if complete:
                   # 2. If the next token completes the constraint, move it to completed list, set
                   #     inprogress to None. If there are no pending constraints either, then this full list of constraints
                   #     is complete.

                   self.complete_constraints.append(self.inprogress_constraint)
                   __a							=    None

                   if len(self.pending_constraints) == 0:
                       # we're done!
                       __a							=    True

           else:
               # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
               # of constraints?

               for cidx, pending_constraint in enumerate(self.pending_constraints):
                   if pending_constraint.does_advance(__SCREAMING_SNAKE_CASE):
                       __a	,       __a	,       __a							=    pending_constraint.update(__SCREAMING_SNAKE_CASE)

                       if not stepped:
                           raise Exception(
                               '''`constraint.update(token_id)` is not yielding incremental progress, '''
                               '''even though `constraint.does_advance(token_id)` is true.''')

                       if complete:
                           self.complete_constraints.append(__SCREAMING_SNAKE_CASE)
                           __a							=    None

                       if not complete and stepped:
                           __a							=    pending_constraint

                       if complete or stepped:
                           # If we made any progress at all, then it's at least not a "pending constraint".

                           __a							=    (
                               self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                           )

                           if len(self.pending_constraints) == 0 and self.inprogress_constraint is None:
                               # If there's no longer any pending after this and no inprogress either, then we must be
                               # complete.

                               __a							=    True

                           break  # prevent accidentally stepping through multiple constraints with just one token.

           return complete, stepped





       def 		_lowerCamelCase      (		self							:					Any					,		__SCREAMING_SNAKE_CASE							:					List[Any]=True):


           '''simple docstring'''

           __a							=    ConstraintListState(self.constraints)  # we actually never though self.constraints objects
           # throughout this process. So it's at initialization state.

           if stateful:
               __a							=    [
                   constraint.copy(stateful=__SCREAMING_SNAKE_CASE) for constraint in self.complete_constraints
               ]
               if self.inprogress_constraint is not None:
                   __a							=    self.inprogress_constraint.copy(stateful=__SCREAMING_SNAKE_CASE)
               __a							=    [constraint.copy() for constraint in self.pending_constraints]

           return new_state










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


__snake_case						:Dict						=					logging.get_logger(__name__)

__snake_case						:List[str]						=					{'''vocab_file''': '''spiece.model'''}

__snake_case						:Dict						=					{
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}

class    _A	(     __UpperCAmelCase   ):



       def __init__(		self							:					Union[str, Any]					,		__SCREAMING_SNAKE_CASE							:					Dict					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]=False					,		__SCREAMING_SNAKE_CASE							:					List[Any]=True					,		__SCREAMING_SNAKE_CASE							:					List[Any]=False					,		__SCREAMING_SNAKE_CASE							:					Optional[int]="<s>"					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]="</s>"					,		__SCREAMING_SNAKE_CASE							:					Union[str, Any]="<unk>"					,		__SCREAMING_SNAKE_CASE							:					Optional[int]="<sep>"					,		__SCREAMING_SNAKE_CASE							:					Optional[int]="<pad>"					,		__SCREAMING_SNAKE_CASE							:					List[Any]="<cls>"					,		__SCREAMING_SNAKE_CASE							:					Optional[int]="<mask>"					,		__SCREAMING_SNAKE_CASE							:					Any=["<eop>", "<eod>"]					,		__SCREAMING_SNAKE_CASE							:					Optional[Dict[str, Any]] = None					,		**__SCREAMING_SNAKE_CASE							:					Union[str, Any]					,		):


           '''simple docstring'''

           __a							=    AddedToken(__SCREAMING_SNAKE_CASE					,		lstrip=__SCREAMING_SNAKE_CASE					,		rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE) else mask_token

           __a							=    {} if sp_model_kwargs is None else sp_model_kwargs

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

           __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(__SCREAMING_SNAKE_CASE)

           try:
               import jieba
           except ModuleNotFoundError as error:
               raise error.__class__(
                   '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
                   '''See https://pypi.org/project/jieba/ for installation.''')
           __a							=    jieba
           __a							=    str.maketrans(''' \n'''					,		'''\u2582\u2583''')



       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def 		_lowerCamelCase      (		self							:					int):


           '''simple docstring'''

           return len(self.sp_model)



       def 		_lowerCamelCase      (		self							:					str):


           '''simple docstring'''

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



       def __getstate__(		self							:					Any):


           '''simple docstring'''

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



       def __setstate__(		self							:					Tuple					,		__SCREAMING_SNAKE_CASE							:					List[str]):


           '''simple docstring'''

           __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 		_lowerCamelCase      (		self							:					Dict					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           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'''					,		__SCREAMING_SNAKE_CASE)
               __a							=    ''''''.join([c for c in outputs if not unicodedata.combining(__SCREAMING_SNAKE_CASE)])
           if self.do_lower_case:
               __a							=    outputs.lower()

           return outputs



       def 		_lowerCamelCase      (		self							:					str					,		__SCREAMING_SNAKE_CASE							:					str):


           '''simple docstring'''

           __a							=    self.preprocess_text(__SCREAMING_SNAKE_CASE)
           __a							=    self.sp_model.encode(__SCREAMING_SNAKE_CASE					,		out_type=__SCREAMING_SNAKE_CASE)
           __a							=    []
           for piece in pieces:
               if len(__SCREAMING_SNAKE_CASE) > 1 and piece[-1] == str(''',''') and piece[-2].isdigit():
                   __a							=    self.sp_model.EncodeAsPieces(piece[:-1].replace(__SCREAMING_SNAKE_CASE					,		''''''))
                   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(__SCREAMING_SNAKE_CASE)
               else:
                   new_pieces.append(__SCREAMING_SNAKE_CASE)

           return new_pieces



       def 		_lowerCamelCase      (		self							:					str					,		__SCREAMING_SNAKE_CASE							:					List[Any]):


           '''simple docstring'''

           return self.sp_model.PieceToId(__SCREAMING_SNAKE_CASE)



       def 		_lowerCamelCase      (		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					Optional[int]):


           '''simple docstring'''

           return self.sp_model.IdToPiece(__SCREAMING_SNAKE_CASE)



       def 		_lowerCamelCase      (		self							:					List[str]					,		__SCREAMING_SNAKE_CASE							:					Tuple):


           '''simple docstring'''

           __a							=    ''''''.join(__SCREAMING_SNAKE_CASE).replace(__SCREAMING_SNAKE_CASE					,		''' ''').strip()
           return out_string



       def 		_lowerCamelCase      (		self							:					Optional[int]					,		__SCREAMING_SNAKE_CASE							:					List[int]					,		__SCREAMING_SNAKE_CASE							:					Optional[List[int]] = None):


           '''simple docstring'''

           __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 		_lowerCamelCase      (		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					List[int]					,		__SCREAMING_SNAKE_CASE							:					Optional[List[int]] = None					,		__SCREAMING_SNAKE_CASE							:					bool = False):


           '''simple docstring'''

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

           if token_ids_a is not None:
               return ([0] * len(__SCREAMING_SNAKE_CASE)) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1, 1]
           return ([0] * len(__SCREAMING_SNAKE_CASE)) + [1, 1]



       def 		_lowerCamelCase      (		self							:					Dict					,		__SCREAMING_SNAKE_CASE							:					List[int]					,		__SCREAMING_SNAKE_CASE							:					Optional[List[int]] = None):


           '''simple docstring'''

           __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 		_lowerCamelCase      (		self							:					Optional[int]					,		__SCREAMING_SNAKE_CASE							:					str					,		__SCREAMING_SNAKE_CASE							:					Optional[str] = None):


           '''simple docstring'''

           if not os.path.isdir(__SCREAMING_SNAKE_CASE):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory')
               return
           __a							=    os.path.join(
               __SCREAMING_SNAKE_CASE					,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

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

           return (out_vocab_file,)





       def 		_lowerCamelCase      (		self							:					Any					,		*__SCREAMING_SNAKE_CASE							:					List[str]					,		**__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           __a							=    super()._decode(*__SCREAMING_SNAKE_CASE					,		**__SCREAMING_SNAKE_CASE)
           __a							=    text.replace(''' '''					,		'''''').replace('''\u2582'''					,		''' ''').replace('''\u2583'''					,		'''\n''')
           return text





