
'''simple docstring'''







import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


_snake_case				:   List[str]     =				"""\
    Text data.
    Second line of data."""

_snake_case				:   str     =				"""file"""



@pytest.fixture(scope="session"  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Tuple  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / (FILE_PATH + ".zstd")
						_SCREAMING_SNAKE_CASE				= bytes(_SCREAMING_SNAKE_CASE	,			"utf-8"  )
						with zstd.open(_SCREAMING_SNAKE_CASE	,			"wb"  ) as f:
												f.write(_SCREAMING_SNAKE_CASE  )
						return path



@pytest.fixture
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Dict  ):
						with open(os.path.join(tmpfs.local_root_dir	,			_SCREAMING_SNAKE_CASE  )	,			"w"  ) as f:
												f.write(_SCREAMING_SNAKE_CASE  )
						return FILE_PATH



@pytest.mark.parametrize("compression_format"	,			["gzip", "xz", "zstd"]  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[Any]	,			_SCREAMING_SNAKE_CASE		:   Union[str, Any]	,			_SCREAMING_SNAKE_CASE		:   Any	,			_SCREAMING_SNAKE_CASE		:   Optional[int]	,			_SCREAMING_SNAKE_CASE		:   Optional[Any]	,			_SCREAMING_SNAKE_CASE		:   Optional[int]  ):
						_SCREAMING_SNAKE_CASE				= {"gzip": gz_file, "xz": xz_file, "zstd": zstd_path}
						_SCREAMING_SNAKE_CASE				= input_paths[compression_format]
						_SCREAMING_SNAKE_CASE				= tmp_path / "cache"
						_SCREAMING_SNAKE_CASE				= DownloadConfig(cache_dir=_SCREAMING_SNAKE_CASE	,			extract_compressed_file=_SCREAMING_SNAKE_CASE  )
						_SCREAMING_SNAKE_CASE				= cached_path(_SCREAMING_SNAKE_CASE	,			download_config=_SCREAMING_SNAKE_CASE  )
						with open(_SCREAMING_SNAKE_CASE  ) as f:
												_SCREAMING_SNAKE_CASE				= f.read()
						with open(_SCREAMING_SNAKE_CASE  ) as f:
												_SCREAMING_SNAKE_CASE				= f.read()
						assert extracted_file_content == expected_file_content



@pytest.mark.parametrize("default_extracted"	,			[True, False]  )
@pytest.mark.parametrize("default_cache_dir"	,			[True, False]  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   int	,			_SCREAMING_SNAKE_CASE		:   str	,			_SCREAMING_SNAKE_CASE		:   int	,			_SCREAMING_SNAKE_CASE		:   str	,			_SCREAMING_SNAKE_CASE		:   Any  ):
						_SCREAMING_SNAKE_CASE				= "custom_cache"
						_SCREAMING_SNAKE_CASE				= "custom_extracted_dir"
						_SCREAMING_SNAKE_CASE				= tmp_path / "custom_extracted_path"
						if default_extracted:
												_SCREAMING_SNAKE_CASE				= ("downloads" if default_cache_dir else custom_cache_dir, "extracted")
						else:
												monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_DIR"	,			_SCREAMING_SNAKE_CASE  )
												monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"	,			str(_SCREAMING_SNAKE_CASE  )  )
												_SCREAMING_SNAKE_CASE				= custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

						_SCREAMING_SNAKE_CASE				= xz_file
						_SCREAMING_SNAKE_CASE				= (
						    DownloadConfig(extract_compressed_file=_SCREAMING_SNAKE_CASE  )
						    if default_cache_dir
						    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir	,			extract_compressed_file=_SCREAMING_SNAKE_CASE  )
						)
						_SCREAMING_SNAKE_CASE				= cached_path(_SCREAMING_SNAKE_CASE	,			download_config=_SCREAMING_SNAKE_CASE  )
						assert Path(_SCREAMING_SNAKE_CASE  ).parent.parts[-2:] == expected



def 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[int]  ):
						# absolute path
						_SCREAMING_SNAKE_CASE				= str(Path(_SCREAMING_SNAKE_CASE  ).resolve()  )
						assert cached_path(_SCREAMING_SNAKE_CASE  ) == text_file
						# relative path
						_SCREAMING_SNAKE_CASE				= str(Path(_SCREAMING_SNAKE_CASE  ).resolve().relative_to(Path(os.getcwd()  )  )  )
						assert cached_path(_SCREAMING_SNAKE_CASE  ) == text_file



def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						# absolute path
						_SCREAMING_SNAKE_CASE				= str(tmp_path.resolve() / "__missing_file__.txt"  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												cached_path(_SCREAMING_SNAKE_CASE  )
						# relative path
						_SCREAMING_SNAKE_CASE				= "./__missing_file__.txt"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												cached_path(_SCREAMING_SNAKE_CASE  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						_SCREAMING_SNAKE_CASE				= get_from_cache(F'tmp://{tmpfs_file}'  )
						with open(_SCREAMING_SNAKE_CASE  ) as f:
												_SCREAMING_SNAKE_CASE				= f.read()
						assert output_file_content == FILE_CONTENT



@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	):
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												cached_path("https://huggingface.co"  )



@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / "file.html"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												http_get("https://huggingface.co"	,			temp_file=_SCREAMING_SNAKE_CASE  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												http_head("https://huggingface.co"  )



@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Tuple  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / "file.html"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												ftp_get("ftp://huggingface.co"	,			temp_file=_SCREAMING_SNAKE_CASE  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												ftp_head("ftp://huggingface.co"  )




@patch("datasets.config.HF_DATASETS_OFFLINE"	,			_SCREAMING_SNAKE_CASE  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Any  ):
						_SCREAMING_SNAKE_CASE				= tmp_path_factory.mktemp("data"  ) / "file.html"
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												fsspec_get("s3://huggingface.co"	,			temp_file=_SCREAMING_SNAKE_CASE  )
						with pytest.raises(_SCREAMING_SNAKE_CASE  ):
												fsspec_head("s3://huggingface.co"  )

'''simple docstring'''







from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean



def 			_a		(	_SCREAMING_SNAKE_CASE		:   int  ):

						# A local function to see if a dot lands in the circle.
						def is_in_circle(_SCREAMING_SNAKE_CASE		:   float	,			_SCREAMING_SNAKE_CASE		:   float  ) -> bool:
												_SCREAMING_SNAKE_CASE				= sqrt((x**2) + (y**2)  )
												# Our circle has a radius of 1, so a distance
												# greater than 1 would land outside the circle.
												return distance_from_centre <= 1

						# The proportion of guesses that landed in the circle
						_SCREAMING_SNAKE_CASE				= mean(
						    int(is_in_circle(uniform(-1.0	,			1.0  )	,			uniform(-1.0	,			1.0  )  )  )
						    for _ in range(_SCREAMING_SNAKE_CASE  )  )
						# The ratio of the area for circle to square is pi/4.
						_SCREAMING_SNAKE_CASE				= proportion * 4
						print(F'The estimated value of pi is {pi_estimate}'  )
						print(F'The numpy value of pi is {pi}'  )
						print(F'The total error is {abs(pi - pi_estimate  )}'  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   int	,			_SCREAMING_SNAKE_CASE		:   Callable[[float], float]	,			_SCREAMING_SNAKE_CASE		:   float = 0.0	,			_SCREAMING_SNAKE_CASE		:   float = 1.0	,			):
						return mean(
						    function_to_integrate(uniform(_SCREAMING_SNAKE_CASE	,			_SCREAMING_SNAKE_CASE  )  ) for _ in range(_SCREAMING_SNAKE_CASE  )  ) * (max_value - min_value)



def 			_a		(	_SCREAMING_SNAKE_CASE		:   int	,			_SCREAMING_SNAKE_CASE		:   float = 0.0	,			_SCREAMING_SNAKE_CASE		:   float = 1.0  ):

						def identity_function(_SCREAMING_SNAKE_CASE		:   float  ) -> float:
												return x

						_SCREAMING_SNAKE_CASE				= area_under_curve_estimator(
						    _SCREAMING_SNAKE_CASE	,			_SCREAMING_SNAKE_CASE	,			_SCREAMING_SNAKE_CASE	,			_SCREAMING_SNAKE_CASE  )
						_SCREAMING_SNAKE_CASE				= (max_value * max_value - min_value * min_value) / 2

						print("******************"  )
						print(F'Estimating area under y=x where x varies from {min_value} to {max_value}'  )
						print(F'Estimated value is {estimated_value}'  )
						print(F'Expected value is {expected_value}'  )
						print(F'Total error is {abs(estimated_value - expected_value  )}'  )
						print("******************"  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   int  ):

						def function_to_integrate(_SCREAMING_SNAKE_CASE		:   float  ) -> float:
												return sqrt(4.0 - x * x  )

						_SCREAMING_SNAKE_CASE				= area_under_curve_estimator(
						    _SCREAMING_SNAKE_CASE	,			_SCREAMING_SNAKE_CASE	,			0.0	,			2.0  )

						print("******************"  )
						print("Estimating pi using area_under_curve_estimator"  )
						print(F'Estimated value is {estimated_value}'  )
						print(F'Expected value is {pi}'  )
						print(F'Total error is {abs(estimated_value - pi  )}'  )
						print("******************"  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()