

from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

snake_case_			  = {
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

snake_case_			  = {'''allegro/herbert-base-cased''': 514}
snake_case_			  = {}


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Tuple														=     VOCAB_FILES_NAMES
    __lowerCamelCase						:       Dict														=     PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:       Union[str, Any]														=     PRETRAINED_INIT_CONFIGURATION
    __lowerCamelCase						:       Dict														=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:       List[Any]														=     HerbertTokenizer





    def __init__(      self						,   a=None						,   a=None						,   a=None						,   a="<s>"						,   a="<unk>"						,   a="<pad>"						,   a="<mask>"						,   a="</s>"						,   **a						,   ):
         super().__init__(
             a						,   a						,   tokenizer_file=a						,   cls_token=a						,   unk_token=a						,   pad_token=a						,   mask_token=a						,   sep_token=a						,   **a						,   )





    def       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   Optional[int]      =       [self.cls_token_id]
         lowercase__    :   List[str]      =       [self.sep_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       snake_case_				(      self						,   a						,   a = None						,   a = False):
         if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=a						,   token_ids_a=a						,   already_has_special_tokens=a)

         if token_ids_a is None:
              return [1] + ([0] * len(a)) + [1]
         return [1] + ([0] * len(a)) + [1] + ([0] * len(a)) + [1]





    def       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   str      =       [self.sep_token_id]
         lowercase__    :   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       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   List[Any]      =       self._tokenizer.model.save(a						,   name=a)
         return tuple(a)




import unittest

from transformers import DonutProcessor


snake_case_			  = '''naver-clova-ix/donut-base'''


class       SCREAMING_SNAKE_CASE__					(unittest.TestCase     ):





    def       snake_case_				(      self):
         lowercase__    :   Dict      =       DonutProcessor.from_pretrained(a)





    def       snake_case_				(      self):
         lowercase__    :   Tuple      =       {
             'name': 'John Doe',
             'age': '99',
             'city': 'Atlanta',
             'state': 'GA',
             'zip': '30301',
             'phone': '123-4567',
             'nicknames': [{'nickname': 'Johnny'}, {'nickname': 'JD'}],
         }

         lowercase__    :   Tuple      =       (
             '<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>'
             '<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>'
             '<s_nicknames><s_nickname>Johnny</s_nickname>'
             '<sep/><s_nickname>JD</s_nickname></s_nicknames>'
         )
         lowercase__    :   str      =       self.processor.tokenajson(a)

         self.assertDictEqual(a						,   a)

