import pytest

import datasets


# Import fixture modules as plugins
__UpperCamelCase		:       int									=     ['tests.fixtures.files', 'tests.fixtures.hub', 'tests.fixtures.fsspec']
def       A	(    _lowercase		,  _lowercase						):
						# 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       A	(    _lowercase						):
						config.addinivalue_line('''markers'''		,  '''torchaudio_latest: mark test to run with torchaudio>=0.12'''						)
@pytest.fixture(autouse=SCREAMING_SNAKE_CASE__						)
def       A	(    _lowercase		,  _lowercase						):
						# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							tmp_path_factory.getbasetemp() / '''cache'''
						SCREAMING_SNAKE_CASE							:    Optional[Any]							=							test_hf_cache_home / '''datasets'''
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							test_hf_cache_home / '''metrics'''
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							test_hf_cache_home / '''modules'''
						monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''		,  str(SCREAMING_SNAKE_CASE__						)						)
						monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''		,  str(SCREAMING_SNAKE_CASE__						)						)
						monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''		,  str(SCREAMING_SNAKE_CASE__						)						)
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							test_hf_datasets_cache / '''downloads'''
						monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''		,  str(SCREAMING_SNAKE_CASE__						)						)
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							test_hf_datasets_cache / '''downloads''' / '''extracted'''
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''		,  str(SCREAMING_SNAKE_CASE__						)						)
@pytest.fixture(autouse=SCREAMING_SNAKE_CASE__		,  scope='''session'''						)
def       A	(    ):
						datasets.disable_progress_bar()
@pytest.fixture(autouse=SCREAMING_SNAKE_CASE__						)
def       A	(    _lowercase						):
						# don't take tests into account when counting downloads
						monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''		,  SCREAMING_SNAKE_CASE__						)



@pytest.fixture
def       A	(    _lowercase						):
						# 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'''		,  SCREAMING_SNAKE_CASE__						)








import math


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):

						if 1 < number < 4:
												# 2 and 3 are primes
												return True
						elif number < 2 or number % 2 == 0 or number % 3 == 0:
												# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
												return False

						# All primes number are in format of 6k +/- 1
						for i in range(5  ,		int(math.sqrt(SCREAMING_SNAKE_CASE__       ) + 1       )  ,		6       ):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__ = 10001       ):

						try:
												snake_case_   =	int(SCREAMING_SNAKE_CASE__       )
						except (TypeError, ValueError):
												raise TypeError('''Parameter nth must be int or castable to int.'''       ) from None
						if nth <= 0:
												raise ValueError('''Parameter nth must be greater than or equal to one.'''       )
						snake_case_   =	[]
						snake_case_   =	2
						while len(SCREAMING_SNAKE_CASE__       ) < nth:
												if is_prime(SCREAMING_SNAKE_CASE__       ):
																		primes.append(SCREAMING_SNAKE_CASE__       )
																		num += 1
												else:
																		num += 1
						return primes[len(SCREAMING_SNAKE_CASE__       ) - 1]


if __name__ == "__main__":
					print(f"""{solution() = }""")