

import unittest

from transformers import DonutProcessor


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







class 						__magic_name__			(							unittest.TestCase							):

   '''simple docstring'''




   def  _UpperCAmelCase (				self       )							->    str:






     """simple docstring"""






     a__  =DonutProcessor.from_pretrained(lowercase_       )



   def  _UpperCAmelCase (				self       )							->    Any:






     """simple docstring"""






     a__  ={
         '''name''': '''John Doe''',
         '''age''': '''99''',
         '''city''': '''Atlanta''',
         '''state''': '''GA''',
         '''zip''': '''30301''',
         '''phone''': '''123-4567''',
         '''nicknames''': [{'''nickname''': '''Johnny'''}, {'''nickname''': '''JD'''}],
     }

     a__  =(
         '''<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>'''
     )
     a__  =self.processor.tokenajson(lowercase_       )

     self.assertDictEqual(lowercase_,    lowercase_       )



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCamelCase           =					{
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase           =					['''MvpTokenizerFast''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase           =					[
           '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''MvpForCausalLM''',
           '''MvpForConditionalGeneration''',
           '''MvpForQuestionAnswering''',
           '''MvpForSequenceClassification''',
           '''MvpModel''',
           '''MvpPreTrainedModel''',
       ]

if TYPE_CHECKING:
       from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
       from .tokenization_mvp import MvpTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_mvp_fast import MvpTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_mvp import (
                  MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  MvpForCausalLM,
                  MvpForConditionalGeneration,
                  MvpForQuestionAnswering,
                  MvpForSequenceClassification,
                  MvpModel,
                  MvpPreTrainedModel,
              )

else:
       import sys

       lowerCamelCase           =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
