




def 		lowerCAmelCase_   (	lowerCamelCase = 10	,     lowerCamelCase = 1000	,     lowerCamelCase = True   ):
				assert (
				    isinstance(lowerCamelCase	,     lowerCamelCase   )
				    and isinstance(lowerCamelCase	,     lowerCamelCase   )
				    and isinstance(lowerCamelCase	,     lowerCamelCase   )
				), "Invalid type of value(s) specified to function!"

				if min_val > max_val:
								raise ValueError("""Invalid value for min_val or max_val (min_value < max_value)"""   )
				return min_val if option else max_val




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				return int((number_a + number_a) / 2   )




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				assert (
				    isinstance(lowerCamelCase	,     lowerCamelCase   ) and isinstance(lowerCamelCase	,     lowerCamelCase   ) and isinstance(lowerCamelCase	,     lowerCamelCase   )
				), 'argument values must be type of "int"'

				if lower > higher:
								raise ValueError("""argument value for lower and higher must be(lower > higher)"""   )

				if not lower < to_guess < higher:
								raise ValueError(
								    """guess value must be within the range of lower and higher value"""   )

				def answer(lowerCamelCase   ) -> str:
								if number > to_guess:
												return "high"
								elif number < to_guess:
												return "low"
								else:
												return "same"

				print("""started..."""   )

				__magic_name__	:	int								=lower
				__magic_name__	:	Optional[Any]								=higher

				__magic_name__	:	List[Any]								=[]

				while True:
								__magic_name__	:	Dict								=get_avg(lowerCamelCase	,     lowerCamelCase   )
								last_numbers.append(lowerCamelCase   )

								if answer(lowerCamelCase   ) == "low":
												__magic_name__	:	Any								=number
								elif answer(lowerCamelCase   ) == "high":
												__magic_name__	:	Dict								=number
								else:
												break

				print(F"guess the number : {last_numbers[-1]}"   )
				print(F"details : {last_numbers!s}"   )




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Any								=int(input("""Enter lower value : """   ).strip()   )
				__magic_name__	:	List[str]								=int(input("""Enter high value : """   ).strip()   )
				__magic_name__	:	Union[str, Any]								=int(input("""Enter value to guess : """   ).strip()   )
				guess_the_number(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )


if __name__ == "__main__":
							main()










import pytest

import datasets


# Import fixture modules as plugins
UpperCAmelCase_		:				Union[str, Any]									=     ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
				for item in items:
								if any(marker in item.keywords for marker in ["""integration""", """unit"""]   ):
												continue
								item.add_marker(pytest.mark.unit   )




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				config.addinivalue_line("""markers"""	,     """torchaudio_latest: mark test to run with torchaudio>=0.12"""   )




@pytest.fixture(autouse=lowerCamelCase   )
def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
				__magic_name__	:	Tuple								=tmp_path_factory.getbasetemp() / """cache"""
				__magic_name__	:	Optional[int]								=test_hf_cache_home / """datasets"""
				__magic_name__	:	List[str]								=test_hf_cache_home / """metrics"""
				__magic_name__	:	List[str]								=test_hf_cache_home / """modules"""
				monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""	,     str(lowerCamelCase   )   )
				monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""	,     str(lowerCamelCase   )   )
				monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""	,     str(lowerCamelCase   )   )
				__magic_name__	:	Optional[Any]								=test_hf_datasets_cache / """downloads"""
				monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""	,     str(lowerCamelCase   )   )
				__magic_name__	:	Tuple								=test_hf_datasets_cache / """downloads""" / """extracted"""
				monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""	,     str(lowerCamelCase   )   )




@pytest.fixture(autouse=lowerCamelCase	,     scope="""session"""   )
def 		lowerCAmelCase_   (	):
				datasets.disable_progress_bar()




@pytest.fixture(autouse=lowerCamelCase   )
def 		lowerCAmelCase_   (	lowerCamelCase   ):
				# don't take tests into account when counting downloads
				monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""	,     lowerCamelCase   )




@pytest.fixture
def 		lowerCAmelCase_   (	lowerCamelCase   ):
				# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
				# To be removed once SQLAlchemy 2.0 supported
				monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""	,     lowerCamelCase   )




