'''simple docstring'''





import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class 				UpperCAmelCase (       _SCREAMING_SNAKE_CASE   ,    unittest.TestCase ):




    '''simple docstring'''







    snake_case__							:   Dict							=						RoCBertTokenizer
    snake_case__							:   Any							=						None
    snake_case__							:   Tuple							=						False
    snake_case__							:   List[str]							=						True
    snake_case__							:   Optional[Any]							=						filter_non_english






    def       _UpperCamelCase    (       self )							-> List[str]:
         super().setUp()

         SCREAMING_SNAKE_CASE					:			str    	=       ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
         SCREAMING_SNAKE_CASE					:			Tuple    	=       {}
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       {}
         for i, value in enumerate(lowercase__ ):
              SCREAMING_SNAKE_CASE					:			str    	=       i
              SCREAMING_SNAKE_CASE					:			Dict    	=       i
         SCREAMING_SNAKE_CASE					:			int    	=       os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES['vocab_file'] )
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES['word_shape_file'] )
         SCREAMING_SNAKE_CASE					:			int    	=       os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES['word_pronunciation_file'] )
         with open(self.vocab_file    ,							'w'    ,							encoding='utf-8' ) as vocab_writer:
              vocab_writer.write(''.join([x + '\n' for x in vocab_tokens] ) )
         with open(self.word_shape_file    ,							'w'    ,							encoding='utf-8' ) as word_shape_writer:
              json.dump(lowercase__    ,							lowercase__    ,							ensure_ascii=lowercase__ )
         with open(self.word_pronunciation_file    ,							'w'    ,							encoding='utf-8' ) as word_pronunciation_writer:
              json.dump(lowercase__    ,							lowercase__    ,							ensure_ascii=lowercase__ )






    def       _UpperCamelCase    (       self )							-> Optional[int]:
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       self.tokenizer_class(self.vocab_file    ,							self.word_shape_file    ,							self.word_pronunciation_file )

         SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer.tokenize('你好[SEP]你是谁' )
         self.assertListEqual(lowercase__    ,							['你', '好', '[SEP]', '你', '是', '谁'] )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__ )    ,							[5, 6, 2, 5, 7, 8] )
         self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowercase__ )    ,							[5, 6, 2, 5, 7, 8] )
         self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowercase__ )    ,							[5, 6, 2, 5, 7, 8] )






    def       _UpperCamelCase    (       self )							-> Dict:
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       RoCBertBasicTokenizer()

         self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz' )    ,							['ah', '\u535A', '\u63A8', 'zz'] )






    def       _UpperCamelCase    (       self )							-> Any:
         SCREAMING_SNAKE_CASE					:			str    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ' )    ,							['hello', '!', 'how', 'are', 'you', '?'] )
         self.assertListEqual(tokenizer.tokenize('H\u00E9llo' )    ,							['hello'] )






    def       _UpperCamelCase    (       self )							-> Tuple:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__    ,							strip_accents=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ' )    ,							['hällo', '!', 'how', 'are', 'you', '?'] )
         self.assertListEqual(tokenizer.tokenize('H\u00E9llo' )    ,							['h\u00E9llo'] )






    def       _UpperCamelCase    (       self )							-> List[Any]:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__    ,							strip_accents=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ' )    ,							['hallo', '!', 'how', 'are', 'you', '?'] )
         self.assertListEqual(tokenizer.tokenize('H\u00E9llo' )    ,							['hello'] )






    def       _UpperCamelCase    (       self )							-> Optional[int]:
         SCREAMING_SNAKE_CASE					:			int    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ' )    ,							['hallo', '!', 'how', 'are', 'you', '?'] )
         self.assertListEqual(tokenizer.tokenize('H\u00E9llo' )    ,							['hello'] )






    def       _UpperCamelCase    (       self )							-> int:
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ' )    ,							['HeLLo', '!', 'how', 'Are', 'yoU', '?'] )






    def       _UpperCamelCase    (       self )							-> str:
         SCREAMING_SNAKE_CASE					:			str    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__    ,							strip_accents=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ' )    ,							['HäLLo', '!', 'how', 'Are', 'yoU', '?'] )






    def       _UpperCamelCase    (       self )							-> int:
         SCREAMING_SNAKE_CASE					:			List[str]    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__    ,							strip_accents=lowercase__ )

         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ' )    ,							['HaLLo', '!', 'how', 'Are', 'yoU', '?'] )






    def       _UpperCamelCase    (       self )							-> Tuple:
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       RoCBertBasicTokenizer(do_lower_case=lowercase__    ,							never_split=['[UNK]'] )

         self.assertListEqual(
             tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]' )    ,							['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]'] )






    def       _UpperCamelCase    (       self )							-> Union[str, Any]:
         SCREAMING_SNAKE_CASE					:			Tuple    	=       ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

         SCREAMING_SNAKE_CASE					:			List[Any]    	=       {}
         for i, token in enumerate(lowercase__ ):
              SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       i
         SCREAMING_SNAKE_CASE					:			str    	=       RoCBertWordpieceTokenizer(vocab=lowercase__    ,							unk_token='[UNK]' )

         self.assertListEqual(tokenizer.tokenize('' )    ,							[] )

         self.assertListEqual(tokenizer.tokenize('unwanted running' )    ,							['un', '##want', '##ed', 'runn', '##ing'] )

         self.assertListEqual(tokenizer.tokenize('unwantedX running' )    ,							['[UNK]', 'runn', '##ing'] )






    def       _UpperCamelCase    (       self )							-> Tuple:
         self.assertTrue(_is_whitespace(' ' ) )
         self.assertTrue(_is_whitespace('\t' ) )
         self.assertTrue(_is_whitespace('\r' ) )
         self.assertTrue(_is_whitespace('\n' ) )
         self.assertTrue(_is_whitespace('\u00A0' ) )

         self.assertFalse(_is_whitespace('A' ) )
         self.assertFalse(_is_whitespace('-' ) )






    def       _UpperCamelCase    (       self )							-> Dict:
         self.assertTrue(_is_control('\u0005' ) )

         self.assertFalse(_is_control('A' ) )
         self.assertFalse(_is_control(' ' ) )
         self.assertFalse(_is_control('\t' ) )
         self.assertFalse(_is_control('\r' ) )






    def       _UpperCamelCase    (       self )							-> Dict:
         self.assertTrue(_is_punctuation('-' ) )
         self.assertTrue(_is_punctuation('$' ) )
         self.assertTrue(_is_punctuation('`' ) )
         self.assertTrue(_is_punctuation('.' ) )

         self.assertFalse(_is_punctuation('A' ) )
         self.assertFalse(_is_punctuation(' ' ) )






    def       _UpperCamelCase    (       self )							-> Optional[int]:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       self.get_tokenizer()

         # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
         self.assertListEqual([tokenizer.tokenize(lowercase__ ) for t in ['Test', '\xad', 'test']]    ,							[['[UNK]'], [], ['[UNK]']] )

         if self.test_rust_tokenizer:
              SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       self.get_rust_tokenizer()
              self.assertListEqual(
                  [rust_tokenizer.tokenize(lowercase__ ) for t in ['Test', '\xad', 'test']]    ,							[['[UNK]'], [], ['[UNK]']] )






    def       _UpperCamelCase    (       self )							-> Optional[Any]:
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                   SCREAMING_SNAKE_CASE					:			int    	=       self.rust_tokenizer_class.from_pretrained(lowercase__    ,							**lowercase__ )

                   SCREAMING_SNAKE_CASE					:			str    	=       F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
                   SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       tokenizer_r.encode_plus(
                       lowercase__    ,							return_attention_mask=lowercase__    ,							return_token_type_ids=lowercase__    ,							return_offsets_mapping=lowercase__    ,							add_special_tokens=lowercase__    ,							)

                   SCREAMING_SNAKE_CASE					:			List[Any]    	=       tokenizer_r.do_lower_case if hasattr(lowercase__    ,							'do_lower_case' ) else False
                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       (
                       [
                           ((0, 0), tokenizer_r.cls_token),
                           ((0, 1), 'A'),
                           ((1, 2), ','),
                           ((3, 5), 'na'),
                           ((5, 6), '##ï'),
                           ((6, 8), '##ve'),
                           ((9, 15), tokenizer_r.mask_token),
                           ((16, 21), 'Allen'),
                           ((21, 23), '##NL'),
                           ((23, 24), '##P'),
                           ((25, 33), 'sentence'),
                           ((33, 34), '.'),
                           ((0, 0), tokenizer_r.sep_token),
                       ]
                       if not do_lower_case
                       else [
                           ((0, 0), tokenizer_r.cls_token),
                           ((0, 1), 'a'),
                           ((1, 2), ','),
                           ((3, 8), 'naive'),
                           ((9, 15), tokenizer_r.mask_token),
                           ((16, 21), 'allen'),
                           ((21, 23), '##nl'),
                           ((23, 24), '##p'),
                           ((25, 33), 'sentence'),
                           ((33, 34), '.'),
                           ((0, 0), tokenizer_r.sep_token),
                       ]
                   )

                   self.assertEqual(
                       [e[1] for e in expected_results]    ,							tokenizer_r.convert_ids_to_tokens(tokens['input_ids'] ) )
                   self.assertEqual([e[0] for e in expected_results]    ,							tokens['offset_mapping'] )






    def       _UpperCamelCase    (       self )							-> str:
         SCREAMING_SNAKE_CASE					:			Tuple    	=       ['的', '人', '有']
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       ''.join(lowercase__ )
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                   SCREAMING_SNAKE_CASE					:			str    	=       True
                   SCREAMING_SNAKE_CASE					:			str    	=       self.tokenizer_class.from_pretrained(lowercase__    ,							**lowercase__ )
                   SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       self.rust_tokenizer_class.from_pretrained(lowercase__    ,							**lowercase__ )

                   SCREAMING_SNAKE_CASE					:			List[Any]    	=       tokenizer_p.encode(lowercase__    ,							add_special_tokens=lowercase__ )
                   SCREAMING_SNAKE_CASE					:			List[Any]    	=       tokenizer_r.encode(lowercase__    ,							add_special_tokens=lowercase__ )

                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer_r.convert_ids_to_tokens(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       tokenizer_p.convert_ids_to_tokens(lowercase__ )

                   # it is expected that each Chinese character is not preceded by "##"
                   self.assertListEqual(lowercase__    ,							lowercase__ )
                   self.assertListEqual(lowercase__    ,							lowercase__ )

                   SCREAMING_SNAKE_CASE					:			Any    	=       False
                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       self.rust_tokenizer_class.from_pretrained(lowercase__    ,							**lowercase__ )
                   SCREAMING_SNAKE_CASE					:			Dict    	=       self.tokenizer_class.from_pretrained(lowercase__    ,							**lowercase__ )

                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       tokenizer_r.encode(lowercase__    ,							add_special_tokens=lowercase__ )
                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer_p.encode(lowercase__    ,							add_special_tokens=lowercase__ )

                   SCREAMING_SNAKE_CASE					:			Any    	=       tokenizer_r.convert_ids_to_tokens(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer_p.convert_ids_to_tokens(lowercase__ )

                   # it is expected that only the first Chinese character is not preceded by "##".
                   SCREAMING_SNAKE_CASE					:			str    	=       [
                       F"""##{token}""" if idx != 0 else token for idx, token in enumerate(lowercase__ )
                   ]
                   self.assertListEqual(lowercase__    ,							lowercase__ )
                   self.assertListEqual(lowercase__    ,							lowercase__ )






    @slow
    def       _UpperCamelCase    (       self )							-> List[str]:
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       self.tokenizer_class(self.vocab_file    ,							self.word_shape_file    ,							self.word_pronunciation_file )

         SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer.encode('你好'    ,							add_special_tokens=lowercase__ )
         SCREAMING_SNAKE_CASE					:			int    	=       tokenizer.encode('你是谁'    ,							add_special_tokens=lowercase__ )

         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       tokenizer.build_inputs_with_special_tokens(lowercase__ )
         SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer.build_inputs_with_special_tokens(lowercase__    ,							lowercase__ )

         assert encoded_sentence == [1] + text + [2]
         assert encoded_pair == [1] + text + [2] + text_a + [2]






    def       _UpperCamelCase    (       self )							-> List[Any]:
         SCREAMING_SNAKE_CASE					:			str    	=       self.get_tokenizers(do_lower_case=lowercase__ )
         for tokenizer in tokenizers:
              with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                   SCREAMING_SNAKE_CASE					:			Any    	=       '你好，你是谁'
                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer.tokenize(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       tokenizer.convert_tokens_to_ids(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer.convert_tokens_to_shape_ids(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			Dict    	=       tokenizer.convert_tokens_to_pronunciation_ids(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			int    	=       tokenizer.prepare_for_model(
                       lowercase__    ,							lowercase__    ,							lowercase__    ,							add_special_tokens=lowercase__ )

                   SCREAMING_SNAKE_CASE					:			Tuple    	=       tokenizer.encode_plus(lowercase__    ,							add_special_tokens=lowercase__ )

                   self.assertEqual(lowercase__    ,							lowercase__ )




'''simple docstring'''





import json
from typing import Dict, List, Optional, Tuple, Union

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .tokenization_led import LEDTokenizer


_lowerCAmelCase  :int  				=    logging.get_logger(__name__)


_lowerCAmelCase  :Union[str, Any]  				=    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

_lowerCAmelCase  :int  				=    {
    """vocab_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json""",
    },
}

_lowerCAmelCase  :str  				=    {
    """allenai/led-base-16384""": 16_384,
}






class 				UpperCAmelCase (       _SCREAMING_SNAKE_CASE ):




    '''simple docstring'''







    snake_case__							:   Optional[Any]							=						VOCAB_FILES_NAMES
    snake_case__							:   Union[str, Any]							=						PRETRAINED_VOCAB_FILES_MAP
    snake_case__							:   Tuple							=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    snake_case__							:   int							=						LEDTokenizer
    snake_case__							:   Optional[int]							=						["input_ids", "attention_mask"]






    def __init__(       self    ,							lowercase__=None    ,							lowercase__=None    ,							lowercase__=None    ,							lowercase__="replace"    ,							lowercase__="<s>"    ,							lowercase__="</s>"    ,							lowercase__="</s>"    ,							lowercase__="<s>"    ,							lowercase__="<unk>"    ,							lowercase__="<pad>"    ,							lowercase__="<mask>"    ,							lowercase__=False    ,							lowercase__=True    ,							**lowercase__    ,							)							-> str:
         super().__init__(
             lowercase__    ,							lowercase__    ,							tokenizer_file=lowercase__    ,							errors=lowercase__    ,							bos_token=lowercase__    ,							eos_token=lowercase__    ,							sep_token=lowercase__    ,							cls_token=lowercase__    ,							unk_token=lowercase__    ,							pad_token=lowercase__    ,							mask_token=lowercase__    ,							add_prefix_space=lowercase__    ,							trim_offsets=lowercase__    ,							**lowercase__    ,							)

         SCREAMING_SNAKE_CASE					:			Dict    	=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
         if pre_tok_state.get('add_prefix_space'    ,							lowercase__ ) != add_prefix_space:
              SCREAMING_SNAKE_CASE					:			List[Any]    	=       getattr(lowercase__    ,							pre_tok_state.pop('type' ) )
              SCREAMING_SNAKE_CASE					:			Dict    	=       add_prefix_space
              SCREAMING_SNAKE_CASE					:			str    	=       pre_tok_class(**lowercase__ )

         SCREAMING_SNAKE_CASE					:			List[Any]    	=       add_prefix_space

         # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
         SCREAMING_SNAKE_CASE					:			Dict    	=       'post_processor'
         SCREAMING_SNAKE_CASE					:			Dict    	=       getattr(self.backend_tokenizer    ,							lowercase__    ,							lowercase__ )
         if tokenizer_component_instance:
              SCREAMING_SNAKE_CASE					:			List[Any]    	=       json.loads(tokenizer_component_instance.__getstate__() )

              # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
              if "sep" in state:
                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       tuple(state['sep'] )
              if "cls" in state:
                   SCREAMING_SNAKE_CASE					:			Tuple    	=       tuple(state['cls'] )

              SCREAMING_SNAKE_CASE					:			str    	=       False

              if state.get('add_prefix_space'    ,							lowercase__ ) != add_prefix_space:
                   SCREAMING_SNAKE_CASE					:			Dict    	=       add_prefix_space
                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       True

              if state.get('trim_offsets'    ,							lowercase__ ) != trim_offsets:
                   SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       trim_offsets
                   SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       True

              if changes_to_apply:
                   SCREAMING_SNAKE_CASE					:			str    	=       getattr(lowercase__    ,							state.pop('type' ) )
                   SCREAMING_SNAKE_CASE					:			Dict    	=       component_class(**lowercase__ )
                   setattr(self.backend_tokenizer    ,							lowercase__    ,							lowercase__ )






    @property
    # Copied from transformers.models.bart.tokenization_bart_fast.BartTokenizerFast.mask_token with BART->LED
    def       _UpperCamelCase    (       self )							-> str:
         if self._mask_token is None:
              if self.verbose:
                   logger.error('Using mask_token, but it is not set yet.' )
              return None
         return str(self._mask_token )






    @mask_token.setter
    def       _UpperCamelCase    (       self    ,							lowercase__ )							-> Optional[Any]:
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       AddedToken(lowercase__    ,							lstrip=lowercase__    ,							rstrip=lowercase__ ) if isinstance(lowercase__    ,							lowercase__ ) else value
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       value






    def       _UpperCamelCase    (       self    ,							*lowercase__    ,							**lowercase__ )							-> BatchEncoding:
         SCREAMING_SNAKE_CASE					:			int    	=       kwargs.get('is_split_into_words'    ,							lowercase__ )

         if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                  'to use it with pretokenized inputs.' )

         return super()._batch_encode_plus(*lowercase__    ,							**lowercase__ )






    def       _UpperCamelCase    (       self    ,							*lowercase__    ,							**lowercase__ )							-> BatchEncoding:
         SCREAMING_SNAKE_CASE					:			Dict    	=       kwargs.get('is_split_into_words'    ,							lowercase__ )

         if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                  'to use it with pretokenized inputs.' )

         return super()._encode_plus(*lowercase__    ,							**lowercase__ )






    def       _UpperCamelCase    (       self    ,							lowercase__    ,							lowercase__ = None )							-> Tuple[str]:
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       self._tokenizer.model.save(lowercase__    ,							name=lowercase__ )
         return tuple(lowercase__ )






    def       _UpperCamelCase    (       self    ,							lowercase__    ,							lowercase__=None )							-> Union[str, Any]:
         SCREAMING_SNAKE_CASE					:			str    	=       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
              return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






    def       _UpperCamelCase    (       self    ,							lowercase__    ,							lowercase__ = None )							-> List[int]:
         SCREAMING_SNAKE_CASE					:			Tuple    	=       [self.sep_token_id]
         SCREAMING_SNAKE_CASE					:			str    	=       [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 + sep + token_ids_a + sep ) * [0]






    def       _UpperCamelCase    (       self    ,							lowercase__    ,							lowercase__ = None    ,							lowercase__ = PaddingStrategy.DO_NOT_PAD    ,							lowercase__ = None    ,							lowercase__ = None    ,							)							-> dict:
         SCREAMING_SNAKE_CASE					:			int    	=       super()._pad(
             encoded_inputs=lowercase__    ,							max_length=lowercase__    ,							padding_strategy=lowercase__    ,							pad_to_multiple_of=lowercase__    ,							return_attention_mask=lowercase__    ,							)

         # Load from model defaults
         if return_attention_mask is None:
              SCREAMING_SNAKE_CASE					:			List[str]    	=       'attention_mask' in self.model_input_names

         if return_attention_mask and "global_attention_mask" in encoded_inputs:
              SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       encoded_inputs[self.model_input_names[0]]
              # `global_attention_mask` need to have the same length as other (sequential) inputs.
              SCREAMING_SNAKE_CASE					:			str    	=       len(encoded_inputs['global_attention_mask'] ) != len(lowercase__ )

              if needs_to_be_padded:
                   SCREAMING_SNAKE_CASE					:			Dict    	=       len(lowercase__ ) - len(encoded_inputs['global_attention_mask'] )

                   if self.padding_side == "right":
                        # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                        SCREAMING_SNAKE_CASE					:			str    	=       (
                            encoded_inputs['global_attention_mask'] + [-1] * difference
                        )
                   elif self.padding_side == "left":
                        SCREAMING_SNAKE_CASE					:			Tuple    	=       [-1] * difference + encoded_inputs[
                            'global_attention_mask'
                        ]
                   else:
                        raise ValueError('Invalid padding strategy:' + str(self.padding_side ) )

         return encoded_inputs



