


'''simple docstring'''



import pytest

import datasets


# Import fixture modules as plugins
__A						=['tests.fixtures.files', 'tests.fixtures.hub', 'tests.fixtures.fsspec']







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







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







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







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







@pytest.fixture
def      _UpperCamelCase   (		UpperCamelCase__       ):
			# 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"""			,   UpperCamelCase__       )






from __future__ import annotations

import math
from collections.abc import Callable


def       UpperCamelCase__(			UpperCamelCase__     :			Callable[[int | float], int | float]					,	UpperCamelCase__     :			int | float					,	UpperCamelCase__     :			int | float					,	UpperCamelCase__     :			int = 1_00					,	)->float:
       A__		   =		x_start
       A__		   =		fnc(UpperCamelCase__    )
       A__		   =		0.0

       for _ in range(UpperCamelCase__    ):
              # Approximates curve as a sequence of linear lines and sums their length
              A__		   =		(x_end - x_start) / steps + xa
              A__		   =		fnc(UpperCamelCase__    )
              length += math.hypot(xa - xa					,	fxa - fxa    )

              # Increment step
              A__		   =		xa
              A__		   =		fxa

       return length


if __name__ == "__main__":


       def       UpperCamelCase__(			UpperCamelCase__     :			Union[str, Any]    )->Dict:
              return math.sin(10 * x    )

       print('f(x) = sin(10 * x)')
       print('The length of the curve from x = -10 to x = 10 is:')
       a__: str							   =						10
       while i <= 100_000:
              print(F"With {i} steps: {line_length(f, -10, 10, i)}")
              i *= 10





