



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


__snake_case		:int 						=	logging.get_logger(__name__)
__snake_case		:Dict 						=	{'''vocab_file''': '''spiece.model'''}

__snake_case		:Optional[int] 						=	{
    '''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''',
    },
}

__snake_case		:Any 						=	{
    '''google/fnet-base''': 512,
    '''google/fnet-large''': 512,
}

__snake_case		:Tuple 						=	'''▁'''

class        _A			(      __UpperCAmelCase       ):
       UpperCamelCase__    :       Any		   =		VOCAB_FILES_NAMES
       UpperCamelCase__    :       List[str]		   =		PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase__    :       Union[str, Any]		   =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase__    :       str		   =		['''input_ids''', '''token_type_ids''']



       def __init__(						self				:	Any	,						__SCREAMING_SNAKE_CASE				:	Union[str, Any]	,						__SCREAMING_SNAKE_CASE				:	List[Any]=False	,						__SCREAMING_SNAKE_CASE				:	Union[str, Any]=True	,						__SCREAMING_SNAKE_CASE				:	List[str]=True	,						__SCREAMING_SNAKE_CASE				:	Union[str, Any]="<unk>"	,						__SCREAMING_SNAKE_CASE				:	Any="[SEP]"	,						__SCREAMING_SNAKE_CASE				:	Union[str, Any]="<pad>"	,						__SCREAMING_SNAKE_CASE				:	Any="[CLS]"	,						__SCREAMING_SNAKE_CASE				:	List[Any]="[MASK]"	,						__SCREAMING_SNAKE_CASE				:	Optional[Dict[str, Any]] = None	,						**__SCREAMING_SNAKE_CASE				:	Optional[Any]	,						):


           '''simple docstring'''

           __a					=							(
               AddedToken(__SCREAMING_SNAKE_CASE	,						lstrip=__SCREAMING_SNAKE_CASE	,						rstrip=__SCREAMING_SNAKE_CASE	,						normalized=__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	,						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	,						sp_model_kwargs=self.sp_model_kwargs	,						**__SCREAMING_SNAKE_CASE	,						)

           __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)



       @property
       def 						_lowerCamelCase     (						self				:	Tuple):


           '''simple docstring'''

           return len(self.sp_model)



       def 						_lowerCamelCase     (						self				:	Any):


           '''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				:	Optional[Any]):


           '''simple docstring'''

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



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


           '''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				:	int	,						__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				:	Optional[Any]	,						__SCREAMING_SNAKE_CASE				:	Optional[Any]):


           '''simple docstring'''

           return self.sp_model.PieceToId(__SCREAMING_SNAKE_CASE)



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


           '''simple docstring'''

           return self.sp_model.IdToPiece(__SCREAMING_SNAKE_CASE)



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


           '''simple docstring'''

           __a					=							[]
           __a					=							''''''
           __a					=							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(__SCREAMING_SNAKE_CASE) + token
                   __a					=							True
                   __a					=							[]
               else:
                   current_sub_tokens.append(__SCREAMING_SNAKE_CASE)
                   __a					=							False
           out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE)
           return out_string.strip()



       def 						_lowerCamelCase     (						self				:	Dict	,						__SCREAMING_SNAKE_CASE				:	List[int]	,						__SCREAMING_SNAKE_CASE				:	bool = False	,						__SCREAMING_SNAKE_CASE				:	bool = None	,						__SCREAMING_SNAKE_CASE				:	bool = True	,						**__SCREAMING_SNAKE_CASE				:	Tuple	,						):


           '''simple docstring'''

           __a					=							kwargs.pop('''use_source_tokenizer'''	,						__SCREAMING_SNAKE_CASE)

           __a					=							self.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE	,						skip_special_tokens=__SCREAMING_SNAKE_CASE)

           # 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(__SCREAMING_SNAKE_CASE))
                       __a					=							[]
                   sub_texts.append(__SCREAMING_SNAKE_CASE)
               else:
                   current_sub_text.append(__SCREAMING_SNAKE_CASE)
           if current_sub_text:
               sub_texts.append(self.convert_tokens_to_string(__SCREAMING_SNAKE_CASE))

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

           __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(__SCREAMING_SNAKE_CASE)
               return clean_text
           else:
               return text



       def 						_lowerCamelCase     (						self				:	List[str]	,						__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 cls + token_ids_a + sep
           return cls + token_ids_a + sep + token_ids_a + sep



       def 						_lowerCamelCase     (						self				:	List[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 [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1]
           return [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1]



       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 len(cls + token_ids_a + sep) * [0]
           return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]





       def 						_lowerCamelCase     (						self				:	Any	,						__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,)










from __future__ import annotations

from typing import Generic, TypeVar

__snake_case		:str 						=	TypeVar('''T''')

class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      Generic[T]       ):



       def __init__(						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	int = 10):


           '''simple docstring'''

           __a					=							[]
           __a					=							limit



       def __bool__(						self				:	List[Any]):


           '''simple docstring'''

           return bool(self.stack)



       def __str__(						self				:	Any):


           '''simple docstring'''

           return str(self.stack)



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


           '''simple docstring'''

           if len(self.stack) >= self.limit:
               raise StackOverflowError
           self.stack.append(__SCREAMING_SNAKE_CASE)



       def 						_lowerCamelCase     (						self				:	str):


           '''simple docstring'''

           if not self.stack:
               raise StackUnderflowError
           return self.stack.pop()



       def 						_lowerCamelCase     (						self				:	Optional[Any]):


           '''simple docstring'''

           if not self.stack:
               raise StackUnderflowError
           return self.stack[-1]



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


           '''simple docstring'''

           return not bool(self.stack)



       def 						_lowerCamelCase     (						self				:	Tuple):


           '''simple docstring'''

           return self.size() == self.limit



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


           '''simple docstring'''

           return len(self.stack)





       def __contains__(						self				:	int	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           return item in self.stack





def 	__snake_case      (     ):
    __a					=							Stack(10							)
    assert bool(_UpperCAmelCase							) is False
    assert stack.is_empty() is True
    assert stack.is_full() is False
    assert str(_UpperCAmelCase							) == "[]"

    try:
        __a					=							stack.pop()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    try:
        __a					=							stack.peek()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    for i in range(10							):
        assert stack.size() == i
        stack.push(_UpperCAmelCase							)

    assert bool(_UpperCAmelCase							)
    assert not stack.is_empty()
    assert stack.is_full()
    assert str(_UpperCAmelCase							) == str(list(range(10							)							)							)
    assert stack.pop() == 9
    assert stack.peek() == 8

    stack.push(100							)
    assert str(_UpperCAmelCase							) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]							)

    try:
        stack.push(200							)
        raise AssertionError  # This should not happen
    except StackOverflowError:
        assert True  # This should happen

    assert not stack.is_empty()
    assert stack.size() == 10

    assert 5 in stack
    assert 55 not in stack


if __name__ == "__main__":
 test_stack()





