


from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml







class 		_snake_case  (				yaml.SafeLoader							):




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:Dict										=	[self.constructed_objects[key_node] for key_node, _ in node.value]
       a						:Optional[int]										=	[tuple(_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE ,  _SCREAMING_SNAKE_CASE   ) else key for key in keys]
       a						:Dict										=	Counter(_SCREAMING_SNAKE_CASE   )
       a						:Union[str, Any]										=	[key for key in counter if counter[key] > 1]
       if duplicate_keys:
             raise TypeError(F'''Got duplicate yaml keys: {duplicate_keys}'''   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase=False   ):
       a						:Any										=	super().construct_mapping(_SCREAMING_SNAKE_CASE ,  deep=_SCREAMING_SNAKE_CASE   )
       self._check_no_duplicates_on_constructed_node(_SCREAMING_SNAKE_CASE   )
       return mapping







def     __lowerCamelCase						(			UpperCAmelCase_						:		Union[str, Any]						):




      """simple docstring"""





      a						:Any										=	list(readme_content.splitlines()						)
      if full_content and full_content[0] == "---" and "---" in full_content[1:]:
            a						:List[str]										=	full_content[1:].index('''---'''						) + 1
            a						:str										=	"\n".join(full_content[1:sep_idx]						)
            return yamlblock, "\n".join(full_content[sep_idx + 1 :]						)

      return None, "\n".join(__snake_case						)







class 		_snake_case  (				__SCREAMING_SNAKE_CASE							):
 SCREAMING_SNAKE_CASE__				=	{'train_eval_index'}  # train-eval-index in the YAML metadata




 @classmethod
 def 	SCREAMING_SNAKE_CASE__    (		cls ,  _lowerCamelCase   ):

       with open(_SCREAMING_SNAKE_CASE ,  encoding='''utf-8'''   ) as readme_file:
             a						:Dict										=	_split_yaml_from_readme(readme_file.read()   )
       if yaml_string is not None:
             return cls.from_yaml_string(_SCREAMING_SNAKE_CASE   )
       else:
             return cls()




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):

       if path.exists():
             with open(_SCREAMING_SNAKE_CASE ,  encoding='''utf-8'''   ) as readme_file:
                   a						:List[Any]										=	readme_file.read()
       else:
             a						:Optional[int]										=	None
       a						:int										=	self._to_readme(_SCREAMING_SNAKE_CASE   )
       with open(_SCREAMING_SNAKE_CASE ,  '''w''' ,  encoding='''utf-8'''   ) as readme_file:
             readme_file.write(_SCREAMING_SNAKE_CASE   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase = None   ):

       if readme_content is not None:
             a						:Optional[Any]										=	_split_yaml_from_readme(_SCREAMING_SNAKE_CASE   )
             a						:List[Any]										=	"---\n" + self.to_yaml_string() + "---\n" + content
       else:
             a						:str										=	"---\n" + self.to_yaml_string() + "---\n"
       return full_content




 @classmethod
 def 	SCREAMING_SNAKE_CASE__    (		cls ,  _lowerCamelCase   ):
       a						:Tuple										=	yaml.load(_SCREAMING_SNAKE_CASE ,  Loader=_NoDuplicateSafeLoader   ) or {}

       # Convert the YAML keys to DatasetMetadata fields
       a						:Union[str, Any]										=	{
           (key.replace('''-''' ,  '''_'''   ) if key.replace('''-''' ,  '''_'''   ) in cls._FIELDS_WITH_DASHES else key): value
           for key, value in metadata_dict.items()
       }
       return cls(**_SCREAMING_SNAKE_CASE   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       return yaml.safe_dump(
           {
               (key.replace('''_''' ,  '''-'''   ) if key in self._FIELDS_WITH_DASHES else key): value
               for key, value in self.items()
           } ,  sort_keys=_SCREAMING_SNAKE_CASE ,  allow_unicode=_SCREAMING_SNAKE_CASE ,  encoding='''utf-8''' ,  ).decode('''utf-8'''   )







snake_case    :   int	    =					{
    'image-classification': [],
    'translation': [],
    'image-segmentation': [],
    'fill-mask': [],
    'automatic-speech-recognition': [],
    'token-classification': [],
    'sentence-similarity': [],
    'audio-classification': [],
    'question-answering': [],
    'summarization': [],
    'zero-shot-classification': [],
    'table-to-text': [],
    'feature-extraction': [],
    'other': [],
    'multiple-choice': [],
    'text-classification': [],
    'text-to-image': [],
    'text2text-generation': [],
    'zero-shot-image-classification': [],
    'tabular-classification': [],
    'tabular-regression': [],
    'image-to-image': [],
    'tabular-to-text': [],
    'unconditional-image-generation': [],
    'text-retrieval': [],
    'text-to-speech': [],
    'object-detection': [],
    'audio-to-audio': [],
    'text-generation': [],
    'conversational': [],
    'table-question-answering': [],
    'visual-question-answering': [],
    'image-to-text': [],
    'reinforcement-learning': [],
    'voice-activity-detection': [],
    'time-series-forecasting': [],
    'document-question-answering': [],
}


if __name__ == "__main__":
     from argparse import ArgumentParser

     snake_case    :   Union[str, Any]	    =					ArgumentParser(usage='''Validate the yaml metadata block of a README.md file.''')
     ap.add_argument('''readme_filepath''')
     snake_case    :   Optional[Any]	    =					ap.parse_args()

     snake_case    :   Any	    =					Path(args.readme_filepath)
     snake_case    :   int	    =					DatasetMetadata.from_readme(readme_filepath)
     print(dataset_metadata)
     dataset_metadata.to_readme(readme_filepath)




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





