


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 logging


snake_case    :   str	    =					logging.get_logger(__name__)
snake_case    :   Tuple	    =					{'''vocab_file''': '''spiece.model'''}

snake_case    :   Any	    =					{
    '''vocab_file''': {
        '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/spiece.model''',
        '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/spiece.model''',
        '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model''',
        '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model''',
        '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/spiece.model''',
        '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/spiece.model''',
        '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model''',
        '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model''',
    }
}

snake_case    :   Optional[int]	    =					{
    '''albert-base-v1''': 5_12,
    '''albert-large-v1''': 5_12,
    '''albert-xlarge-v1''': 5_12,
    '''albert-xxlarge-v1''': 5_12,
    '''albert-base-v2''': 5_12,
    '''albert-large-v2''': 5_12,
    '''albert-xlarge-v2''': 5_12,
    '''albert-xxlarge-v2''': 5_12,
}

snake_case    :   Union[str, Any]	    =					'''▁'''







class 		_snake_case  (				_snake_case							):
 SCREAMING_SNAKE_CASE__				=	VOCAB_FILES_NAMES
 SCREAMING_SNAKE_CASE__				=	PRETRAINED_VOCAB_FILES_MAP
 SCREAMING_SNAKE_CASE__				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




 def __init__(		self ,  _lowerCamelCase ,  _lowerCamelCase=True ,  _lowerCamelCase=True ,  _lowerCamelCase=False ,  _lowerCamelCase="[CLS]" ,  _lowerCamelCase="[SEP]" ,  _lowerCamelCase="<unk>" ,  _lowerCamelCase="[SEP]" ,  _lowerCamelCase="<pad>" ,  _lowerCamelCase="[CLS]" ,  _lowerCamelCase="[MASK]" ,  _lowerCamelCase = None ,  **_lowerCamelCase ,  ):
       # Mask token behave like a normal word, i.e. include the space before it and
       # is included in the raw text, there should be a match in a non-normalized sentence.
       a						:Optional[Any]										=	(
           AddedToken(_lowerCamelCase ,  lstrip=_lowerCamelCase ,  rstrip=_lowerCamelCase ,  normalized=_lowerCamelCase   )
           if isinstance(_lowerCamelCase ,  _lowerCamelCase   )
           else mask_token
       )

       a						:Dict										=	{} if sp_model_kwargs is None else sp_model_kwargs

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

       a						:int										=	do_lower_case
       a						:List[Any]										=	remove_space
       a						:List[Any]										=	keep_accents
       a						:Union[str, Any]										=	vocab_file

       a						:int										=	spm.SentencePieceProcessor(**self.sp_model_kwargs   )
       self.sp_model.Load(_lowerCamelCase   )




 @property
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       return len(self.sp_model   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Union[str, Any]										=	{self.convert_ids_to_tokens(_lowerCamelCase   ): i for i in range(self.vocab_size   )}
       vocab.update(self.added_tokens_encoder   )
       return vocab




 def __getstate__(		self   ):
       a						:Tuple										=	self.__dict__.copy()
       a						:List[Any]										=	None
       return state




 def __setstate__(		self ,  _lowerCamelCase   ):
       a						:Optional[int]										=	d

       # for backward compatibility
       if not hasattr(self ,  '''sp_model_kwargs'''   ):
             a						:Optional[Any]										=	{}

       a						:str										=	spm.SentencePieceProcessor(**self.sp_model_kwargs   )
       self.sp_model.Load(self.vocab_file   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       if self.remove_space:
             a						:List[Any]										=	''' '''.join(inputs.strip().split()   )
       else:
             a						:str										=	inputs
       a						:int										=	outputs.replace('''``''' ,  '''"'''   ).replace('''\'\'''' ,  '''"'''   )

       if not self.keep_accents:
             a						:List[Any]										=	unicodedata.normalize('''NFKD''' ,  _lowerCamelCase   )
             a						:List[str]										=	''''''.join([c for c in outputs if not unicodedata.combining(_lowerCamelCase   )]   )
       if self.do_lower_case:
             a						:str										=	outputs.lower()

       return outputs




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:Dict										=	self.preprocess_text(_lowerCamelCase   )
       a						:Union[str, Any]										=	self.sp_model.encode(_lowerCamelCase ,  out_type=_lowerCamelCase   )
       a						:Dict										=	[]
       for piece in pieces:
             if len(_lowerCamelCase   ) > 1 and piece[-1] == str(''','''   ) and piece[-2].isdigit():
                   a						:int										=	self.sp_model.EncodeAsPieces(piece[:-1].replace(_lowerCamelCase ,  ''''''   )   )
                   if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                         if len(cur_pieces[0]   ) == 1:
                               a						:Optional[int]										=	cur_pieces[1:]
                         else:
                               a						:Union[str, Any]										=	cur_pieces[0][1:]
                   cur_pieces.append(piece[-1]   )
                   new_pieces.extend(_lowerCamelCase   )
             else:
                   new_pieces.append(_lowerCamelCase   )

       return new_pieces




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       return self.sp_model.PieceToId(_lowerCamelCase   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       return self.sp_model.IdToPiece(_lowerCamelCase   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:List[Any]										=	[]
       a						:Optional[int]										=	''''''
       a						:Optional[Any]										=	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(_lowerCamelCase   ) + token
                   a						:Dict										=	True
                   a						:Tuple										=	[]
             else:
                   current_sub_tokens.append(_lowerCamelCase   )
                   a						:Union[str, Any]										=	False
       out_string += self.sp_model.decode(_lowerCamelCase   )
       return out_string.strip()




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       a						:Optional[Any]										=	[self.sep_token_id]
       a						:Any										=	[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 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None ,  _lowerCamelCase = False   ):

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

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




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       a						:List[Any]										=	[self.sep_token_id]
       a						:Optional[Any]										=	[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 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       if not os.path.isdir(_lowerCamelCase   ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
             return
       a						:Optional[int]										=	os.path.join(
           _lowerCamelCase ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

       if os.path.abspath(self.vocab_file   ) != os.path.abspath(_lowerCamelCase   ) and os.path.isfile(self.vocab_file   ):
             copyfile(self.vocab_file ,  _lowerCamelCase   )
       elif not os.path.isfile(self.vocab_file   ):
             with open(_lowerCamelCase ,  '''wb'''   ) as fi:
                   a						:List[Any]										=	self.sp_model.serialized_model_proto()
                   fi.write(_lowerCamelCase   )

       return (out_vocab_file,)









import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 		_snake_case  (				_snake_case						,   unittest.TestCase							):
 SCREAMING_SNAKE_CASE__				=	MgpstrTokenizer
 SCREAMING_SNAKE_CASE__				=	False
 SCREAMING_SNAKE_CASE__				=	{}
 SCREAMING_SNAKE_CASE__				=	False




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       super().setUp()

       # fmt: off
       a						:int										=	['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
       # fmt: on
       a						:List[str]										=	dict(zip(_lowerCamelCase ,  range(len(_lowerCamelCase   )   )   )   )

       a						:Any										=	os.path.join(self.tmpdirname ,  VOCAB_FILES_NAMES['''vocab_file''']   )
       with open(self.vocab_file ,  '''w''' ,  encoding='''utf-8'''   ) as fp:
             fp.write(json.dumps(_lowerCamelCase   ) + '''\n'''   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  **_lowerCamelCase   ):
       return MgpstrTokenizer.from_pretrained(self.tmpdirname ,  **_lowerCamelCase   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:str										=	'''tester'''
       a						:Union[str, Any]										=	'''tester'''
       return input_text, output_text




 @unittest.skip('''MGP-STR always lower cases letters.'''   )
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       pass




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[Any]										=	self.get_tokenizers(do_lower_case=_lowerCamelCase   )
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   a						:Any										=	'''[SPECIAL_TOKEN]'''

                   tokenizer.add_special_tokens({'''cls_token''': special_token}   )
                   a						:str										=	tokenizer.encode([special_token] ,  add_special_tokens=_lowerCamelCase   )
                   self.assertEqual(len(_lowerCamelCase   ) ,  1   )

                   a						:Tuple										=	tokenizer.decode(_lowerCamelCase ,  skip_special_tokens=_lowerCamelCase   )
                   self.assertTrue(special_token not in decoded   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Optional[Any]										=	self.get_tokenizers()
       for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   a							,    a						:Tuple										=	self.get_input_output_texts(_lowerCamelCase   )

                   a						:Tuple										=	tokenizer.tokenize(_lowerCamelCase   )
                   a						:int										=	tokenizer.convert_tokens_to_ids(_lowerCamelCase   )
                   a						:Optional[int]										=	tokenizer.encode(_lowerCamelCase ,  add_special_tokens=_lowerCamelCase   )
                   self.assertListEqual(_lowerCamelCase ,  _lowerCamelCase   )

                   a						:Any										=	tokenizer.convert_ids_to_tokens(_lowerCamelCase   )
                   self.assertNotEqual(len(_lowerCamelCase   ) ,  0   )
                   a						:str										=	tokenizer.decode(_lowerCamelCase   )
                   self.assertIsInstance(_lowerCamelCase ,  _lowerCamelCase   )

                   self.assertEqual(text_a.replace(''' ''' ,  ''''''   ) ,  _lowerCamelCase   )




 @unittest.skip('''MGP-STR tokenizer only handles one sequence.'''   )
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       pass




 @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''   )
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       pass





