



'''simple docstring'''



import json
import os
from dataclasses import dataclass

import numpy as np
import pyarrow as pa

import datasets
from utils import get_duration


__A       =      100_000_000_000
__A       =      10_000

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





def 	_A						(							lowercase__						,						lowercase__		):
						lowercase__								=    pa.Table.from_pydict({"""col""": [0] * chunk_size}		)
						lowercase__								=    pa.concat_tables([table] * (num_examples // chunk_size)		)
						return datasets.Dataset(lowercase__						,						fingerprint="""table_100B"""		)





@dataclass
class      A							:
			lowerCamelCase							:							int
			lowerCamelCase							:							int
			lowerCamelCase							:							int
			lowerCamelCase							:							int



			def A__	(   self    )     ->						int:




									'''simple docstring'''



									lowercase__								=    np.random.default_rng(self.seed    )
									lowercase__								=    rng.integers(low=self.low    ,       high=self.high    ,       size=self.size    ).tolist()



			def __iter__(   self    )     ->						List[str]:




									'''simple docstring'''



									return iter(self._sampled_values    )



			def __len__(   self    )     ->						List[str]:




									'''simple docstring'''



									return self.size





@get_duration
def 	_A						(							lowercase__		):
						lowercase__								=    dataset[0]





@get_duration
def 	_A						(							lowercase__		):
						lowercase__								=    dataset[-1]





@get_duration
def 	_A						(							lowercase__		):
						lowercase__								=    dataset[range(len(lowercase__		) // 2						,						len(lowercase__		) // 2 + 1024		)]





@get_duration
def 	_A						(							lowercase__		):
						lowercase__								=    dataset[RandIter(0						,						len(lowercase__		)						,						1024						,						seed=42		)]





def 	_A						(							):
						lowercase__								=    {"""num examples""": SPEED_TEST_N_EXAMPLES}
						lowercase__								=    (get_first_row, get_last_row, get_batch_of_aaaa_rows, get_batch_of_aaaa_random_rows)
						print("""generating dataset"""		)
						lowercase__								=    generate_100B_dataset(num_examples=lowercase__						,						chunk_size=lowercase__		)
						print("""Functions"""		)
						for func in functions:
												print(func.__name__		)
												lowercase__								=    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_table_100B()








'''simple docstring'''



def 	_A						(							lowercase__						,						lowercase__						,						lowercase__		):
						if right <= left:
												return
						lowercase__								=    lowercase__								=    left
						lowercase__								=    right
						lowercase__								=    sorting[left]
						while i <= b:
												if sorting[i] < pivot:
																		lowercase__	,  lowercase__								=    sorting[i], sorting[a]
																		a += 1
																		i += 1
												elif sorting[i] > pivot:
																		lowercase__	,  lowercase__								=    sorting[i], sorting[b]
																		b -= 1
												else:
																		i += 1
						quick_sort_apartition(lowercase__						,						lowercase__						,						a - 1		)
						quick_sort_apartition(lowercase__						,						b + 1						,						lowercase__		)





def 	_A						(							lowercase__						,						lowercase__						,						lowercase__		):
						if left < right:
												lowercase__								=    lomuto_partition(lowercase__						,						lowercase__						,						lowercase__		)
												quick_sort_lomuto_partition(lowercase__						,						lowercase__						,						pivot_index - 1		)
												quick_sort_lomuto_partition(lowercase__						,						pivot_index + 1						,						lowercase__		)





def 	_A						(							lowercase__						,						lowercase__						,						lowercase__		):
						lowercase__								=    sorting[right]
						lowercase__								=    left
						for i in range(lowercase__						,						lowercase__		):
												if sorting[i] < pivot:
																		lowercase__	,  lowercase__								=    sorting[i], sorting[store_index]
																		store_index += 1
						lowercase__	,  lowercase__								=    sorting[store_index], sorting[right]
						return store_index





def 	_A						(							lowercase__		):
						if len(lowercase__		) <= 1:
												return sorting
						return (
						    three_way_radix_quicksort([i for i in sorting if i < sorting[0]]		)
						    + [i for i in sorting if i == sorting[0]]
						    + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]		)
						)


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)

				__A       =      input("Enter numbers separated by a comma:\n").strip()
				__A       =      [int(item) for item in user_input.split(",")]
				quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
				print(unsorted)






