





'''simple docstring'''



import posixpath
from pathlib import Path
from unittest.mock import patch

import pytest
from fsspec.implementations.local import AbstractFileSystem, LocalFileSystem, stringify_path
from fsspec.registry import _registry as _fsspec_registry






class 							__lowercase				(					lowerCAmelCase__  ):







	'''simple docstring'''

	a			: List[str]      =				"mock"


	def __init__(self   ,*_lowerCamelCase   ,_lowerCamelCase   ,**_lowerCamelCase       )							->							str:







				'''simple docstring'''





				super().__init__()
				__lowercase   =							LocalFileSystem(*_lowerCamelCase   ,**_lowerCamelCase       )
				__lowercase   =							Path(_lowerCamelCase       ).resolve().as_posix() + '''/'''


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							List[Any]:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.mkdir(_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							Optional[Any]:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.makedirs(_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.rmdir(_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,_lowerCamelCase=True   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							int:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				__lowercase   =							self._fs.ls(_lowerCamelCase   ,detail=_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )
				if detail:
							return [{**info, "name": info["name"][len(self.local_root_dir       ) :]} for info in out]
				else:
							return [name[len(self.local_root_dir       ) :] for name in out]


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							Optional[int]:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				__lowercase   =							dict(self._fs.info(_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )       )
				__lowercase   =							out['''name'''][len(self.local_root_dir       ) :]
				return out


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.cp_file(_lowerCamelCase   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							Optional[Any]:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.rm_file(_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							Optional[int]:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.rm(_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							str:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs._open(_lowerCamelCase   ,*_lowerCamelCase   ,**_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Any:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.created(_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase   =							posixpath.join(self.local_root_dir   ,self._strip_protocol(_lowerCamelCase       )       )
				return self._fs.modified(_lowerCamelCase       )


	@classmethod
	def   _UpperCAmelCase   (cls   ,_lowerCamelCase       )							->							Optional[int]:







				'''simple docstring'''





				__lowercase   =							stringify_path(_lowerCamelCase       )
				if path.startswith('''mock://'''       ):
							__lowercase   =							path[7:]
				return path






class 							__lowercase				(					lowerCAmelCase__  ):







	'''simple docstring'''

	a			: Optional[Any]      =				"tmp"
	a			: List[Any]      =				None


	def __init__(self   ,*_lowerCamelCase   ,**_lowerCamelCase       )							->							Any:







				'''simple docstring'''





				assert self.tmp_dir is not None, "TmpDirFileSystem.tmp_dir is not set"
				super().__init__(*_lowerCamelCase   ,**_lowerCamelCase   ,local_root_dir=self.tmp_dir   ,auto_mkdir=_lowerCamelCase       )


	@classmethod
	def   _UpperCAmelCase   (cls   ,_lowerCamelCase       )							->							Optional[int]:







				'''simple docstring'''





				__lowercase   =							stringify_path(_lowerCamelCase       )
				if path.startswith('''tmp://'''       ):
							__lowercase   =							path[6:]
				return path





@pytest.fixture
def       _lowerCAmelCase  ( ):
			__lowercase   =							MockFileSystem
			__lowercase   =							TmpDirFileSystem
			yield
			del _fsspec_registry["mock"]
			del _fsspec_registry["tmp"]




@pytest.fixture
def       _lowerCAmelCase  ( lowerCamelCase_	:     Dict						,				lowerCamelCase_	:     List[Any] ):
			__lowercase   =							tmp_path_factory.mktemp('''mockfs''' )
			return MockFileSystem(local_root_dir=lowerCamelCase_						,				auto_mkdir=lowerCamelCase_ )




@pytest.fixture
def       _lowerCAmelCase  ( lowerCamelCase_	:     List[str]						,				lowerCamelCase_	:     str ):
			__lowercase   =							tmp_path_factory.mktemp('''tmpfs''' )
			with patch.object(lowerCamelCase_						,				'''tmp_dir'''						,				lowerCamelCase_ ):
						yield TmpDirFileSystem()












'''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    =			'''\
@InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
}
'''

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

# 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 							__lowercase				(					datasets.GeneratorBasedBuilder  ):







	'''simple docstring'''

	a			: Tuple      =				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')
	a			: List[Any]      =				[
	    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"  ),
	]

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


	def   _UpperCAmelCase   (self       )							->							List[str]:







				'''simple docstring'''





				if self.config.name == "first_domain":  # This is the name of the configuration selected in BUILDER_CONFIGS above
							__lowercase   =							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   =							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   ,_lowerCamelCase       )							->							Dict:







				'''simple docstring'''





				__lowercase   =							_URLS[self.config.name]
				__lowercase   =							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   ,_lowerCamelCase   ,_lowerCamelCase       )							->							str:







				'''simple docstring'''





				with open(_lowerCamelCase   ,encoding='''utf-8'''       ) as f:
							for key, row in enumerate(_lowerCamelCase       ):
										__lowercase   =							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"],
													}





