



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


a_								=    logging.get_logger(__name__)

a_								=    {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

a_								=    {
    """vocab_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

a_								=    {
    """yjernite/retribert-base-uncased""": 512,
}


a_								=    {
    """yjernite/retribert-base-uncased""": {"""do_lower_case""": True},
}



class        __lowerCAmelCase   (		_a      ):
 lowerCAmelCase__				    =     VOCAB_FILES_NAMES
 lowerCAmelCase__				    =     PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__				    =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCAmelCase__				    =     PRETRAINED_INIT_CONFIGURATION
 lowerCAmelCase__				    =     RetriBertTokenizer
 lowerCAmelCase__				    =     ['''input_ids''', '''attention_mask''']




 def __init__(  self		, __UpperCAmelCase=None		, __UpperCAmelCase=None		, __UpperCAmelCase=True		, __UpperCAmelCase="[UNK]"		, __UpperCAmelCase="[SEP]"		, __UpperCAmelCase="[PAD]"		, __UpperCAmelCase="[CLS]"		, __UpperCAmelCase="[MASK]"		, __UpperCAmelCase=True		, __UpperCAmelCase=None		, **__UpperCAmelCase		, ):



    '''simple docstring'''
    super().__init__(
        __UpperCAmelCase		, tokenizer_file=__UpperCAmelCase		, do_lower_case=__UpperCAmelCase		, unk_token=__UpperCAmelCase		, sep_token=__UpperCAmelCase		, pad_token=__UpperCAmelCase		, cls_token=__UpperCAmelCase		, mask_token=__UpperCAmelCase		, tokenize_chinese_chars=__UpperCAmelCase		, strip_accents=__UpperCAmelCase		, **__UpperCAmelCase		, )

    __lowerCamelCase  							=			json.loads(self.backend_tokenizer.normalizer.__getstate__() )
    if (
        normalizer_state.get('''lowercase'''		, __UpperCAmelCase ) != do_lower_case
        or normalizer_state.get('''strip_accents'''		, __UpperCAmelCase ) != strip_accents
        or normalizer_state.get('''handle_chinese_chars'''		, __UpperCAmelCase ) != tokenize_chinese_chars
    ):
       __lowerCamelCase  							=			getattr(__UpperCAmelCase		, normalizer_state.pop('''type''' ) )
       __lowerCamelCase  							=			do_lower_case
       __lowerCamelCase  							=			strip_accents
       __lowerCamelCase  							=			tokenize_chinese_chars
       __lowerCamelCase  							=			normalizer_class(**__UpperCAmelCase )

    __lowerCamelCase  							=			do_lower_case




 def 				lowerCamelCase					(  self		, __UpperCAmelCase		, __UpperCAmelCase=None ):



    '''simple docstring'''
    __lowerCamelCase  							=			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

    if token_ids_a:
       output += token_ids_a + [self.sep_token_id]

    return output




 def 				lowerCamelCase					(  self		, __UpperCAmelCase		, __UpperCAmelCase = None ):



    '''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 				lowerCamelCase					(  self		, __UpperCAmelCase		, __UpperCAmelCase = None ):



    '''simple docstring'''
    __lowerCamelCase  							=			self._tokenizer.model.save(__UpperCAmelCase		, name=__UpperCAmelCase )
    return tuple(__UpperCAmelCase )













import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class 					__lowerCAmelCase       (			_a,     unittest.TestCase     ):
			lowerCamelCase_     :     Any       			=      BioGptTokenizer
			lowerCamelCase_     :     Optional[Any]       			=      False






			def 			lowerCamelCase  (self    )     ->   List[Any]:


							'''simple docstring'''



							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							snake_case_						:    Optional[Any]				=  [
							    '''l''',
							    '''o''',
							    '''w''',
							    '''e''',
							    '''r''',
							    '''s''',
							    '''t''',
							    '''i''',
							    '''d''',
							    '''n''',
							    '''w</w>''',
							    '''r</w>''',
							    '''t</w>''',
							    '''lo''',
							    '''low''',
							    '''er</w>''',
							    '''low</w>''',
							    '''lowest</w>''',
							    '''newer</w>''',
							    '''wider</w>''',
							    '''<unk>''',
							]
							snake_case_						:    Union[str, Any]				=  dict(zip(__magic_name__					,							range(len(__magic_name__    )    )    )    )
							snake_case_						:    Union[str, Any]				=  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

							snake_case_						:    Any				=  os.path.join(self.tmpdirname					,							VOCAB_FILES_NAMES['''vocab_file''']    )
							snake_case_						:    Dict				=  os.path.join(self.tmpdirname					,							VOCAB_FILES_NAMES['''merges_file''']    )
							with open(self.vocab_file					,							'''w'''    ) as fp:
											fp.write(json.dumps(__magic_name__    )    )
							with open(self.merges_file					,							'''w'''    ) as fp:
											fp.write('''\n'''.join(__magic_name__    )    )






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							snake_case_						:    str				=  '''lower newer'''
							snake_case_						:    Dict				=  '''lower newer'''
							return input_text, output_text






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							snake_case_						:    Optional[int]				=  BioGptTokenizer(self.vocab_file					,							self.merges_file    )

							snake_case_						:    Union[str, Any]				=  '''lower'''
							snake_case_						:    Optional[int]				=  ['''low''', '''er</w>''']
							snake_case_						:    Any				=  tokenizer.tokenize(__magic_name__    )
							self.assertListEqual(__magic_name__					,							__magic_name__    )

							snake_case_						:    Optional[int]				=  tokens + ['''<unk>''']
							snake_case_						:    List[str]				=  [14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__    )					,							__magic_name__    )






			@slow
			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



							snake_case_						:    Optional[int]				=  BioGptTokenizer.from_pretrained('''microsoft/biogpt'''    )

							snake_case_						:    List[Any]				=  tokenizer.encode('''sequence builders'''					,							add_special_tokens=__magic_name__    )
							snake_case_						:    str				=  tokenizer.encode('''multi-sequence build'''					,							add_special_tokens=__magic_name__    )

							snake_case_						:    str				=  tokenizer.build_inputs_with_special_tokens(__magic_name__    )
							snake_case_						:    List[str]				=  tokenizer.build_inputs_with_special_tokens(__magic_name__					,							__magic_name__    )

							self.assertTrue(encoded_sentence == [2] + text    )
							self.assertTrue(encoded_pair == [2] + text + [2] + text_a    )
