
import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


_UpperCAmelCase   :					Dict    =			500_000

_UpperCAmelCase   :					Optional[Any]    =			os.path.split(__file__)
_UpperCAmelCase   :					int    =			os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(".py", ".json"))


@get_duration
def  A			(   lowercase					)  ->    List[Any]:
		'''simple docstring'''

		UpperCamelCase            =	dataset.select(range(0       ,			len(_lowercase					)       ,			2					)					)


@get_duration
def  A			(   lowercase					)  ->    List[str]:
		'''simple docstring'''

		UpperCamelCase            =	dataset.sort('numbers'					)


@get_duration
def  A			(   lowercase					)  ->    Optional[Any]:
		'''simple docstring'''

		UpperCamelCase            =	dataset.shuffle()


@get_duration
def  A			(   lowercase					)  ->    Any:
		'''simple docstring'''

		UpperCamelCase            =	dataset.train_test_split(0.1					)


@get_duration
def  A			(   lowercase       ,			lowercase=10					)  ->    List[str]:
		'''simple docstring'''

		for shard_id in range(_lowercase					):
				UpperCamelCase            =	dataset.shard(_lowercase       ,			_lowercase					)


def  A			(   )  ->    Dict:
		'''simple docstring'''

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

"""simple docstring"""




def 				__a       (			_lowercase							, _lowercase						):







					"""simple docstring"""





					if not root or root not in binary_tree_mirror_dictionary:
										return
					lowerCamelCase__				,						lowerCamelCase__		:   Tuple  				=					binary_tree_mirror_dictionary[root][:2]
					lowerCamelCase__		:   Optional[Any]  				=					[right_child, left_child]
					binary_tree_mirror_dict(_lowercase							, _lowercase						)
					binary_tree_mirror_dict(_lowercase							, _lowercase						)



def 				__a       (			_lowercase							, _lowercase = 1						):







					"""simple docstring"""





					if not binary_tree:
										raise ValueError('''binary tree cannot be empty'''						)
					if root not in binary_tree:
										lowerCamelCase__		:   Dict  				=					f"""root {root} is not present in the binary_tree"""
										raise ValueError(_lowercase						)
					lowerCamelCase__		:   Optional[Any]  				=					dict(_lowercase						)
					binary_tree_mirror_dict(_lowercase							, _lowercase						)
					return binary_tree_mirror_dictionary


if __name__ == "__main__":
					UpperCAmelCase       :    Any									=			{1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
					print(f'''Binary tree: {binary_tree}''')
					UpperCAmelCase       :    List[Any]									=			binary_tree_mirror(binary_tree, 5)
					print(f'''Binary tree mirror: {binary_tree_mirror_dictionary}''')






