



import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


UpperCAmelCase							=       500_000

UpperCAmelCase			,							UpperCAmelCase							=       os.path.split(__file__)
UpperCAmelCase							=       os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))

@get_duration
def       A_   (						__a  :					datasets.Dataset		):

				"""simple docstring"""
				a__					   =		dataset.select(range(0			,		len(__a		)			,		2		)		)

@get_duration
def       A_   (						__a  :					datasets.Dataset		):

				"""simple docstring"""
				a__					   =		dataset.sort("""numbers"""		)

@get_duration
def       A_   (						__a  :					datasets.Dataset		):

				"""simple docstring"""
				a__					   =		dataset.shuffle()

@get_duration
def       A_   (						__a  :					datasets.Dataset		):

				"""simple docstring"""
				a__					   =		dataset.train_test_split(0.1		)

@get_duration
def       A_   (						__a  :					datasets.Dataset			,		__a  :					Any=10		):

				"""simple docstring"""
				for shard_id in range(__a		):
								a__					   =		dataset.shard(__a			,		__a		)

def       A_   (						):

				"""simple docstring"""
				a__					   =		{"""num examples""": SPEED_TEST_N_EXAMPLES}
				a__					   =		(select, sort, shuffle, train_test_split, shard)
				with tempfile.TemporaryDirectory() as tmp_dir:
								print("""generating dataset"""		)
								a__					   =		datasets.Features({"""text""": datasets.Value("""string"""		), """numbers""": datasets.Value("""float32"""		)}		)
								a__					   =		generate_example_dataset(
								    os.path.join(__a			,		"""dataset.arrow"""		)			,		__a			,		num_examples=__a		)
								print("""Functions"""		)
								for func in functions:
												print(func.__name__		)
												a__					   =		func(__a		)

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


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





"""simple docstring"""






from __future__ import annotations

from collections.abc import Generator


def __lowercase  (   lowerCamelCase_	:   int	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	) or n < 1:
								raise Exception("Sequence only defined for positive integers"	)

				yield n
				while n != 1:
								if n % 2 == 0:
												n //= 2
								else:
												SCREAMING_SNAKE_CASE__  				=					3 * n + 1
								yield n


def __lowercase  (   ):
				SCREAMING_SNAKE_CASE__  				=					43
				SCREAMING_SNAKE_CASE__  				=					tuple(collatz_sequence(lowerCamelCase_	)	)
				print(lowerCamelCase_	)
				print(F'''Collatz sequence from {n} took {len(lowerCamelCase_	)} steps.'''	)


if __name__ == "__main__":
	main()
