"""simple docstring"""







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
SCREAMING_SNAKE_CASE						=    '\\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
SCREAMING_SNAKE_CASE						=    '\\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
SCREAMING_SNAKE_CASE						=    ''

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

# 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)
SCREAMING_SNAKE_CASE						=    {
    'first_domain': 'https://huggingface.co/great-new-dataset-first_domain.zip',
    'second_domain': 'https://huggingface.co/great-new-dataset-second_domain.zip',
}



class 			_lowerCamelCase      (datasets.GeneratorBasedBuilder  ):
				_snake_case  =	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')
				_snake_case  =	[
				    datasets.BuilderConfig(name="first_domain"    ,				version=__lowerCamelCase    ,				description="This part of my dataset covers a first domain"  ),
				    datasets.BuilderConfig(name="second_domain"    ,				version=__lowerCamelCase    ,				description="This part of my dataset covers a second domain"  ),
				]

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







				def 				__UpperCAmelCase       (			self     :							List[Any]    ):

					"""simple docstring"""






					if self.config.name == "first_domain":  # This is the name of the configuration selected in BUILDER_CONFIGS above
						_lowercase			:     Tuple      					=				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"
						_lowercase			:     Optional[Any]      					=				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=lowerCamelCase_      ,       homepage=_HOMEPAGE      ,       license=_LICENSE      ,       citation=_CITATION      ,       )







				def 				__UpperCAmelCase       (			self     :							List[Any]      ,       lowerCamelCase_     :							List[str]    ):

					"""simple docstring"""






					_lowercase			:     Optional[int]      					=				_URLS[self.config.name]
					_lowercase			:     Optional[Any]      					=				dl_manager.download_and_extract(lowerCamelCase_    )
					return [
					    datasets.SplitGenerator(
					        name=datasets.Split.TRAIN      ,       gen_kwargs={
					            'filepath': os.path.join(lowerCamelCase_      ,       'train.jsonl'    ),
					            'split': 'train',
					        }      ,       ),
					    datasets.SplitGenerator(
					        name=datasets.Split.VALIDATION      ,       gen_kwargs={
					            'filepath': os.path.join(lowerCamelCase_      ,       'dev.jsonl'    ),
					            'split': 'dev',
					        }      ,       ),
					    datasets.SplitGenerator(
					        name=datasets.Split.TEST      ,       gen_kwargs={
					            'filepath': os.path.join(lowerCamelCase_      ,       'test.jsonl'    ),
					            'split': 'test'
					        }      ,       ),
					]







				def 				__UpperCAmelCase       (			self     :							str      ,       lowerCamelCase_     :							List[Any]      ,       lowerCamelCase_     :							List[str]    ):

					"""simple docstring"""






					with open(lowerCamelCase_      ,       encoding='utf-8'    ) as f:
						for key, row in enumerate(lowerCamelCase_    ):
							_lowercase			:     str      					=				json.loads(lowerCamelCase_    )
							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"],
								}




"""simple docstring"""







def   __lowerCAmelCase(		__UpperCAmelCase      ):






	"""simple docstring"""





	if len(__UpperCAmelCase      ) > 1:
		_lowercase			:     Dict      					=				len(__UpperCAmelCase      ) // 2  # Finds the middle of the array
		_lowercase			:     List[str]      					=				arr[
		    :middle_length
		]  # Creates an array of the elements in the first half.
		_lowercase			:     Optional[int]      					=				arr[
		    middle_length:
		]  # Creates an array of the elements in the second half.
		_lowercase			:     Optional[Any]      					=				len(__UpperCAmelCase      )
		_lowercase			:     Optional[int]      					=				len(__UpperCAmelCase      )
		merge(__UpperCAmelCase      )  # Starts sorting the left.
		merge(__UpperCAmelCase      )  # Starts sorting the right
		_lowercase			:     Dict      					=				0  # Left Counter
		_lowercase			:     List[str]      					=				0  # Right Counter
		_lowercase			:     Optional[Any]      					=				0  # Position Counter
		while (
		    left_index < left_size and right_index < right_size
		):  # Runs until the lowers size of the left and right are sorted.
			if left_array[left_index] < right_array[right_index]:
				_lowercase			:     Optional[int]      					=				left_array[left_index]
				left_index += 1
			else:
				_lowercase			:     int      					=				right_array[right_index]
				right_index += 1
			index += 1
		while (
		    left_index < left_size
		):  # Adds the left over elements in the left half of the array
			_lowercase			:     Any      					=				left_array[left_index]
			left_index += 1
			index += 1
		while (
		    right_index < right_size
		):  # Adds the left over elements in the right half of the array
			_lowercase			:     str      					=				right_array[right_index]
			right_index += 1
			index += 1
	return arr


if __name__ == "__main__":
						import doctest

						doctest.testmod()



