




import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


UpperCamelCase__						=		5_0_0_0_0_0

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






@get_duration
def    snake_case   (				A     )				->				Any:




	'''simple docstring'''


	lowerCamelCase_				:						int				  =				dataset.select(range(0		,  len(A     )		,  2     )     )






@get_duration
def    snake_case   (				A     )				->				Optional[Any]:




	'''simple docstring'''


	lowerCamelCase_				:						Optional[int]				  =				dataset.sort('numbers'     )






@get_duration
def    snake_case   (				A     )				->				int:




	'''simple docstring'''


	lowerCamelCase_				:						Union[str, Any]				  =				dataset.shuffle()






@get_duration
def    snake_case   (				A     )				->				Optional[int]:




	'''simple docstring'''


	lowerCamelCase_				:						Optional[int]				  =				dataset.train_test_split(0.1     )






@get_duration
def    snake_case   (				A		,  A=10     )				->				int:




	'''simple docstring'''


	for shard_id in range(A     ):
		lowerCamelCase_				:						str				  =				dataset.shard(A		,  A     )






def    snake_case   (				)				->				Dict:




	'''simple docstring'''


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






UpperCamelCase__						=		[
    [0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0],
    [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
]






def    snake_case   (				A		,  A		,  A		,  A     )				->				bool:




	'''simple docstring'''


	return 0 <= row < rows and 0 <= col < cols






def    snake_case   (				A		,  A		,  A		,  A     )				->				int:




	'''simple docstring'''


	lowerCamelCase_				:						List[str]				  =				len(A     )
	lowerCamelCase_				:						Any				  =				len(mat[0]     )
	if is_safe(A		,  A		,  A		,  A     ) and (row, col) not in seen and mat[row][col] == 1:
		seen.add((row, col)     )
		return (
		    1
		    + depth_first_search(row + 1		,  A		,  A		,  A     )
		    + depth_first_search(row - 1		,  A		,  A		,  A     )
		    + depth_first_search(A		,  col + 1		,  A		,  A     )
		    + depth_first_search(A		,  col - 1		,  A		,  A     )
		)
	else:
		return 0






def    snake_case   (				A     )				->				int:




	'''simple docstring'''


	lowerCamelCase_				:						set				  =				set()

	lowerCamelCase_				:						Optional[Any]				  =				0
	for row, line in enumerate(A     ):
		for col, item in enumerate(A     ):
			if item == 1 and (row, col) not in seen:
				# Maximizing the area
				lowerCamelCase_				:						Optional[Any]				  =				max(A		,  depth_first_search(A		,  A		,  A		,  A     )     )
	return max_area


if __name__ == "__main__":
							import doctest

							print(find_max_area(matrix))  # Output -> 6
							doctest.testmod()
