

import pytest

from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested

from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):  # picklable for multiprocessing
						return i + 1


@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def   __SCREAMING_SNAKE_CASE					():
						with parallel_backend('''spark'''       ):
												assert ParallelBackendConfig.backend_name == "spark"

						snake_case_   =	[1, 2, 3]
						with pytest.raises(SCREAMING_SNAKE_CASE__       ):
												with parallel_backend('''unsupported backend'''       ):
																		map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=2       )

						with pytest.raises(SCREAMING_SNAKE_CASE__       ):
												with parallel_backend('''unsupported backend'''       ):
																		map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=-1       )


@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize('''num_proc'''  ,		[2, -1]       )
def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	[1, 2]
						snake_case_   =	{'''a''': 1, '''b''': 2}
						snake_case_   =	{'''a''': [1, 2], '''b''': [3, 4]}
						snake_case_   =	{'''a''': {'''1''': 1}, '''b''': 2}
						snake_case_   =	{'''a''': 1, '''b''': 2, '''c''': 3, '''d''': 4}
						snake_case_   =	[2, 3]
						snake_case_   =	{'''a''': 2, '''b''': 3}
						snake_case_   =	{'''a''': [2, 3], '''b''': [4, 5]}
						snake_case_   =	{'''a''': {'''1''': 2}, '''b''': 3}
						snake_case_   =	{'''a''': 2, '''b''': 3, '''c''': 4, '''d''': 5}

						with parallel_backend('''spark'''       ):
												assert map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=SCREAMING_SNAKE_CASE__       ) == expected_map_nested_sa
												assert map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=SCREAMING_SNAKE_CASE__       ) == expected_map_nested_sa
												assert map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=SCREAMING_SNAKE_CASE__       ) == expected_map_nested_sa
												assert map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=SCREAMING_SNAKE_CASE__       ) == expected_map_nested_sa
												assert map_nested(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		num_proc=SCREAMING_SNAKE_CASE__       ) == expected_map_nested_sa






import requests

snake_case__					:							int													=     'https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey='



def _a				(	lowerCamelCase:   str )	->						None:







      '''simple docstring'''






      __A          =				requests.get(_NEWS_API + bbc_news_api_key ).json()
      # each article in the list is a dict
      for i, article in enumerate(bbc_news_page['''articles''']					,				1 ):
            print(F"""{i}.) {article['title']}""" )


if __name__ == "__main__":
       fetch_bbc_news(bbc_news_api_key='<Your BBC News API key goes here>')





