


"""simple docstring"""
def 		lowercase							(     _snake_case						:      list[list[float]]     )     ->list[list[float]]:
	"""simple docstring"""





	__snake_case	:						list[list[float]]						=				[]
	for data in source_data:
		for i, el in enumerate(_snake_case     ):
			if len(_snake_case     ) < i + 1:
				data_lists.append([]     )
			data_lists[i].append(float(_snake_case     )     )
	return data_lists






def 		lowercase							(     _snake_case						:      list[list[float]]     ,   _snake_case						:      list[int]     )     ->list[list[float]]:
	"""simple docstring"""





	__snake_case	:						list[list[float]]						=				[]
	for dlist, weight in zip(_snake_case     ,   _snake_case     ):
		__snake_case	:						Optional[Any]						=				min(_snake_case     )
		__snake_case	:						Union[str, Any]						=				max(_snake_case     )

		__snake_case	:						list[float]						=				[]
		# for weight 0 score is 1 - actual score
		if weight == 0:
			for item in dlist:
				try:
					score.append(1 - ((item - mind) / (maxd - mind))     )
				except ZeroDivisionError:
					score.append(1     )

		elif weight == 1:
			for item in dlist:
				try:
					score.append((item - mind) / (maxd - mind)     )
				except ZeroDivisionError:
					score.append(0     )

        # weight not 0 or 1
		else:
			__snake_case	:						Any						=				f"""Invalid weight of {weight:f} provided"""
			raise ValueError(_snake_case     )

		score_lists.append(_snake_case     )

	return score_lists






def 		lowercase							(     _snake_case						:      list[list[float]]     )     ->list[float]:
	"""simple docstring"""





	__snake_case	:						list[float]						=				[0 for i in range(len(score_lists[0]     )     )]

	for slist in score_lists:
		for j, ele in enumerate(_snake_case     ):
			__snake_case	:						Dict						=				final_scores[j] + ele

	return final_scores






def 		lowercase							(     _snake_case						:      list[list[float]]     ,   _snake_case						:      list[int]     )     ->list[list[float]]:
	"""simple docstring"""





	__snake_case	:						str						=				get_data(_snake_case     )
	__snake_case	:						Optional[int]						=				calculate_each_score(_snake_case     ,   _snake_case     )
	__snake_case	:						Optional[int]						=				generate_final_scores(_snake_case     )

	# append scores to source data
	for i, ele in enumerate(_snake_case     ):
		source_data[i].append(_snake_case     )

	return source_data









"""simple docstring"""
import pytest

import datasets


# Import fixture modules as plugins
SCREAMING_SNAKE_CASE :    List[Any]									=				["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]






def 		lowercase							(     _snake_case						:      Optional[int]     ,   _snake_case						:      Optional[int]     )     ->Tuple:
	"""simple docstring"""





	for item in items:
		if any(marker in item.keywords for marker in ['''integration''', '''unit''']     ):
			continue
		item.add_marker(pytest.mark.unit     )






def 		lowercase							(     _snake_case						:      List[str]     )     ->Optional[int]:
	"""simple docstring"""





	config.addinivalue_line('''markers'''     ,   '''torchaudio_latest: mark test to run with torchaudio>=0.12'''     )






@pytest.fixture(autouse=_snake_case     )
def 		lowercase							(     _snake_case						:      Optional[Any]     ,   _snake_case						:      Dict     )     ->Any:
	"""simple docstring"""





	__snake_case	:						List[Any]						=				tmp_path_factory.getbasetemp() / '''cache'''
	__snake_case	:						int						=				test_hf_cache_home / '''datasets'''
	__snake_case	:						Tuple						=				test_hf_cache_home / '''metrics'''
	__snake_case	:						List[str]						=				test_hf_cache_home / '''modules'''
	monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''     ,   str(_snake_case     )     )
	monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''     ,   str(_snake_case     )     )
	monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''     ,   str(_snake_case     )     )
	__snake_case	:						Optional[int]						=				test_hf_datasets_cache / '''downloads'''
	monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''     ,   str(_snake_case     )     )
	__snake_case	:						Tuple						=				test_hf_datasets_cache / '''downloads''' / '''extracted'''
	monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''     ,   str(_snake_case     )     )






@pytest.fixture(autouse=_snake_case     ,   scope='''session'''     )
def 		lowercase							(     )     ->Any:
	"""simple docstring"""





	datasets.disable_progress_bar()






@pytest.fixture(autouse=_snake_case     )
def 		lowercase							(     _snake_case						:      Tuple     )     ->Union[str, Any]:
	"""simple docstring"""





	monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''     ,   _snake_case     )






@pytest.fixture
def 		lowercase							(     _snake_case						:      Any     )     ->Optional[Any]:
	"""simple docstring"""





	monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''     ,   _snake_case     )





