



'''simple docstring'''

import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


_A					:     Union[str, Any]      =5_0_0_0_0_0

_A    ,      _A					:     str      =os.path.split(__file__)
_A					:     Dict      =os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))







@get_duration
def     __UpperCamelCase					(				_lowercase       )			->      Optional[Any]:
	_lowercase       :							List[Any]  	=		dataset.select(range(0,					len(__a       ),					2       )       )







@get_duration
def     __UpperCamelCase					(				_lowercase       )			->      Any:
	_lowercase       :							Tuple  	=		dataset.sort('numbers'       )







@get_duration
def     __UpperCamelCase					(				_lowercase       )			->      str:
	_lowercase       :							List[str]  	=		dataset.shuffle()







@get_duration
def     __UpperCamelCase					(				_lowercase       )			->      List[str]:
	_lowercase       :							Dict  	=		dataset.train_test_split(0.1       )







@get_duration
def     __UpperCamelCase					(				_lowercase,					_lowercase=10       )			->      List[str]:
	for shard_id in range(__a       ):
		_lowercase       :							Any  	=		dataset.shard(__a,					__a       )







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





import math
from decimal import Decimal, getcontext

def       A_   (						__a  :					int = 4_000_000		):

				"""simple docstring"""

				try:
								a__					   =		int(__a		)
				except (TypeError, ValueError):
								raise TypeError("""Parameter n must be int or castable to int."""		)
				if n <= 0:
								raise ValueError("""Parameter n must be greater than or equal to one."""		)
				a__					   =		100
				a__					   =		(Decimal(5		) ** Decimal(0.5		) + 1) / Decimal(2		)

				a__					   =		(math.floor(math.log(n * (phi + 2)			,		__a		) - 1		) // 3) * 3 + 2
				a__					   =		Decimal(round(phi ** Decimal(index + 1		)		)		) / (phi + 2)
				a__					   =		num // 2
				return int(__a		)


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

