




'''simple docstring'''





class      _a       :






     def __init__(				self					)							->    Union[str, Any]:
          _snake_case							=   [0]
          _snake_case							=   0






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE					)							->    str:
          _snake_case							=   self.__heap[i]
          while i // 2 > 0:
               if self.__heap[i] > self.__heap[i // 2]:
                    _snake_case							=   self.__heap[i // 2]
                    _snake_case							=   temporary
               i //= 2






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE					)							->    Any:
          self.__heap.append(__a					)
          self.__size += 1
          self.__swap_up(self.__size					)






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE					)							->    List[str]:





          while self.__size >= 2 * i:
               if 2 * i + 1 > self.__size:
                    _snake_case							=   2 * i
               else:
                    if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                         _snake_case							=   2 * i
                    else:
                         _snake_case							=   2 * i + 1
               _snake_case							=   self.__heap[i]
               if self.__heap[i] < self.__heap[bigger_child]:
                    _snake_case							=   self.__heap[bigger_child]
                    _snake_case							=   temporary
               _snake_case							=   bigger_child






     def        _lowercase			(				self					)							->    Dict:
          _snake_case							=   self.__heap[1]
          _snake_case							=   self.__heap[self.__size]
          self.__size -= 1
          self.__heap.pop()
          self.__swap_down(1					)
          return max_value






     @property
     def        _lowercase			(				self					)							->    List[Any]:
          return self.__heap[1:]






     def __len__(				self					)							->    str:
          return self.__size


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # create an instance of BinaryHeap
   UpperCamelCase_		:    Dict									=		BinaryHeap()
   binary_heap.insert(6)
   binary_heap.insert(10)
   binary_heap.insert(15)
   binary_heap.insert(12)
   # pop root(max-values because it is max heap)
   print(binary_heap.pop())  # 15
   print(binary_heap.pop())  # 12
   # get the list and size after operations
   print(binary_heap.get_list)
   print(len(binary_heap))








'''simple docstring'''





import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


UpperCamelCase_		:    List[str]									=		500000

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





@get_duration
def 			__a			(     _UpperCamelCase:					datasets.Dataset					)		->				List[Any]:

     """simple docstring"""




     _snake_case							=   dataset.select(range(0      ,		len(_UpperCamelCase					)      ,		2					)					)





@get_duration
def 			__a			(     _UpperCamelCase:					datasets.Dataset					)		->				List[Any]:

     """simple docstring"""




     _snake_case							=   dataset.sort("numbers"					)





@get_duration
def 			__a			(     _UpperCamelCase:					datasets.Dataset					)		->				List[Any]:

     """simple docstring"""




     _snake_case							=   dataset.shuffle()





@get_duration
def 			__a			(     _UpperCamelCase:					datasets.Dataset					)		->				Any:

     """simple docstring"""




     _snake_case							=   dataset.train_test_split(0.1					)





@get_duration
def 			__a			(     _UpperCamelCase:					datasets.Dataset      ,		_UpperCamelCase:					int=10					)		->				List[str]:

     """simple docstring"""




     for shard_id in range(_UpperCamelCase					):
          _snake_case							=   dataset.shard(_UpperCamelCase      ,		_UpperCamelCase					)





def 			__a			(     )		->				int:

     """simple docstring"""




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

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


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


