


import csv
import json
import os

import datasets


# TODO: Add BibTeX citation
# Find for instance the citation on arxiv or on the dataset repo/website
lowerCamelCase		      = '\\n@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthor={huggingface, Inc.\n},\nyear={2020}\n}\n'

# TODO: Add description of the dataset here
# You can copy an official description
lowerCamelCase		      = '\\nThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.\n'

# TODO: Add a link to an official homepage for the dataset here
lowerCamelCase		      = ''

# TODO: Add the licence for the dataset here if you can find it
lowerCamelCase		      = ''

# TODO: Add link to the official dataset URLs here
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
lowerCamelCase		      = {
    'first_domain': 'https://huggingface.co/great-new-dataset-first_domain.zip',
    'second_domain': 'https://huggingface.co/great-new-dataset-second_domain.zip',
}




class A						(     datasets.GeneratorBasedBuilder  ):
      UpperCamelCase__							:						Dict   =datasets.Version('1.1.0'  )

      # This is an example of a dataset with multiple configurations.
      # If you don't want/need to define several sub-sets in your dataset,
      # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.

      # If you need to make complex sub-parts in the datasets with configurable options
      # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
      # BUILDER_CONFIG_CLASS = MyBuilderConfig

      # You will be able to load one or the other configurations in the following list with
      # data = datasets.load_dataset('my_dataset', 'first_domain')
      # data = datasets.load_dataset('my_dataset', 'second_domain')
      UpperCamelCase__							:						Union[str, Any]   =[
          datasets.BuilderConfig(name='first_domain'					,							version=UpperCamelCase_					,							description='This part of my dataset covers a first domain'  ),
          datasets.BuilderConfig(name='second_domain'					,							version=UpperCamelCase_					,							description='This part of my dataset covers a second domain'  ),
      ]

      UpperCamelCase__							:						Dict   ='first_domain'  # It's not mandatory to have a default configuration. Just use one if it make sense.






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




             if self.config.name == "first_domain":  # This is the name of the configuration selected in BUILDER_CONFIGS above
                    _lowerCamelCase :	List[Any]						=datasets.Features(
                        {
                            'sentence': datasets.Value('string'				),
                            'option1': datasets.Value('string'				),
                            'answer': datasets.Value('string'				)
                            # These are the features of your dataset like images, labels ...
                        }				)
             else:  # This is an example to show how to have different features for "first_domain" and "second_domain"
                    _lowerCamelCase :	str						=datasets.Features(
                        {
                            'sentence': datasets.Value('string'				),
                            'option2': datasets.Value('string'				),
                            'second_domain_answer': datasets.Value('string'				)
                            # These are the features of your dataset like images, labels ...
                        }				)
             return datasets.DatasetInfo(
                 # This is the description that will appear on the datasets page.
                 description=_DESCRIPTION    ,     features=lowercase_    ,     homepage=_HOMEPAGE    ,     license=_LICENSE    ,     citation=_CITATION    ,     )






      def  lowerCamelCase (      self		:  Optional[Any]    ,     lowercase_		:  str				)      ->		Tuple:
             """simple docstring"""




             _lowerCamelCase :	Dict						=_URLS[self.config.name]
             _lowerCamelCase :	Union[str, Any]						=dl_manager.download_and_extract(lowercase_				)
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN    ,     gen_kwargs={
                         'filepath': os.path.join(lowercase_    ,     'train.jsonl'				),
                         'split': 'train',
                     }    ,     ),
                 datasets.SplitGenerator(
                     name=datasets.Split.VALIDATION    ,     gen_kwargs={
                         'filepath': os.path.join(lowercase_    ,     'dev.jsonl'				),
                         'split': 'dev',
                     }    ,     ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST    ,     gen_kwargs={
                         'filepath': os.path.join(lowercase_    ,     'test.jsonl'				),
                         'split': 'test'
                     }    ,     ),
             ]






      def  lowerCamelCase (      self		:  List[Any]    ,     lowercase_		:  Optional[Any]    ,     lowercase_		:  Optional[Any]				)      ->		List[Any]:
             """simple docstring"""




             with open(lowercase_    ,     encoding='utf-8'				) as f:
                    for key, row in enumerate(lowercase_				):
                           _lowerCamelCase :	List[str]						=json.loads(lowercase_				)
                           if self.config.name == "first_domain":
                                  # Yields examples as (key, example) tuples
                                  yield key, {
                                      "sentence": data["sentence"],
                                      "option1": data["option1"],
                                      "answer": "" if split == "test" else data["answer"],
                                  }
                           else:
                                  yield key, {
                                      "sentence": data["sentence"],
                                      "option2": data["option2"],
                                      "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
                                  }






from collections.abc import Callable

lowerCamelCase		      = Callable[[float], float]  # type alias for a real -> real function




def 			a_   (					SCREAMING_SNAKE_CASE__      :   RealFunc	,    SCREAMING_SNAKE_CASE__      :   RealFunc	,    SCREAMING_SNAKE_CASE__      :   int	,    ):
       '''simple docstring'''





       _lowerCamelCase :	Tuple						=float(SCREAMING_SNAKE_CASE__  )
       while True:
              try:
                     _lowerCamelCase :	int						=prev_guess - function(SCREAMING_SNAKE_CASE__  ) / derivative(SCREAMING_SNAKE_CASE__  )
              except ZeroDivisionError:
                     raise ZeroDivisionError('Could not find root'  ) from None
              if abs(prev_guess - next_guess  ) < 10**-5:
                     return next_guess
              _lowerCamelCase :	Union[str, Any]						=next_guess




def 			a_   (					SCREAMING_SNAKE_CASE__      :   float  ):
       '''simple docstring'''





       return (x**3) - (2 * x) - 5




def 			a_   (					SCREAMING_SNAKE_CASE__      :   float  ):
       '''simple docstring'''





       return 3 * (x**2) - 2


if __name__ == "__main__":
 print(newton(f, fa, 3))


