import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


__SCREAMING_SNAKE_CASE						:    Optional[int]     = 5_0_0_0_0_0

__SCREAMING_SNAKE_CASE   ,__SCREAMING_SNAKE_CASE						:    List[Any]     = os.path.split(__file__)
__SCREAMING_SNAKE_CASE						:    Optional[Any]     = os.path.join(RESULTS_BASEPATH, 'results', RESULTS_FILENAME.replace('.py', '.json'))
@get_duration
def 					snake_case						(__lowercase						)       ->       List[str]:

						'''simple docstring'''



						_snake_case						:     Optional[Any]				=    dataset.select(range(0					,			len(__lowercase						)					,			2						)						)
@get_duration
def 					snake_case						(__lowercase						)       ->       List[Any]:

						'''simple docstring'''



						_snake_case						:     int				=    dataset.sort("numbers"						)
@get_duration
def 					snake_case						(__lowercase						)       ->       List[str]:

						'''simple docstring'''



						_snake_case						:     Optional[Any]				=    dataset.shuffle()
@get_duration
def 					snake_case						(__lowercase						)       ->       str:

						'''simple docstring'''



						_snake_case						:     int				=    dataset.train_test_split(0.1						)
@get_duration
def 					snake_case						(__lowercase					,			__lowercase=10						)       ->       List[str]:

						'''simple docstring'''



						for shard_id in range(__lowercase						):
												_snake_case						:     Optional[int]				=    dataset.shard(__lowercase					,			__lowercase						)
def 					snake_case						()       ->       List[Any]:

						'''simple docstring'''



						_snake_case						:     Dict				=    {"num examples": SPEED_TEST_N_EXAMPLES}
						_snake_case						:     List[Any]				=    (select, sort, shuffle, train_test_split, shard)
						with tempfile.TemporaryDirectory() as tmp_dir:
												print("generating dataset"						)
												_snake_case						:     Union[str, Any]				=    datasets.Features({"text": datasets.Value("string"						), "numbers": datasets.Value("float32"						)}						)
												_snake_case						:     Optional[Any]				=    generate_example_dataset(
												    os.path.join(__lowercase					,			"dataset.arrow"						)					,			__lowercase					,			num_examples=__lowercase						)
												print("Functions"						)
												for func in functions:
																		print(func.__name__						)
																		_snake_case						:     List[Any]				=    func(__lowercase						)

						with open(__lowercase					,			"wb"						) as f:
												f.write(json.dumps(__lowercase						).encode("utf-8"						)						)


if __name__ == "__main__":  # useful to run the profiler
				benchmark_indices_mapping()






from __future__ import annotations

import math
import random






def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							int    ,      UpperCamelCase__:							int    ,      UpperCamelCase__:							int			):
		SCREAMING_SNAKE_CASE__								=					d * e - 1
		SCREAMING_SNAKE_CASE__								=					0
		SCREAMING_SNAKE_CASE__								=					0
		while p == 0:
				SCREAMING_SNAKE_CASE__								=					random.randint(2    ,      n - 1			)
				SCREAMING_SNAKE_CASE__								=					k
				while True:
						if t % 2 == 0:
								SCREAMING_SNAKE_CASE__								=					t // 2
								SCREAMING_SNAKE_CASE__								=					(g**t) % n
								SCREAMING_SNAKE_CASE__								=					math.gcd(x - 1    ,      UpperCamelCase__			)
								if x > 1 and y > 1:
										SCREAMING_SNAKE_CASE__								=					y
										SCREAMING_SNAKE_CASE__								=					n // y
										break  # find the correct factors
						else:
								break  # t is not divisible by 2, break and choose another g
		return sorted([p, q]			)


if __name__ == "__main__":
	import doctest

	doctest.testmod()