




from typing import List

import numpy as np


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	snake_case_						       =	{key: len(_A				) for key, value in gen_kwargs.items() if isinstance(_A	,      _A				)}
	if len(set(lists_lengths.values()				)				) > 1:
		raise RuntimeError(
		    (
		        "Sharding is ambiguous for this dataset: "
		        + "we found several data sources lists of different lengths, and we don\'t know over which list we should parallelize:\n"
		        + "\n".join(f"\t- key {key} has length {length}" for key, length in lists_lengths.items()				)
		        + "\nTo fix this, check the \'gen_kwargs\' and make sure to use lists only for data sources, "
		        + "and use tuples otherwise. In the end there should only be one single list, or several lists with the same length."
		    )				)
	snake_case_						       =	max(lists_lengths.values()	,      default=0				)
	return max(1	,      _A				)


def 		lowerCamelCase__       (						_A	,      _A				):







	'''simple docstring'''





	snake_case_						       =	[]
	for group_idx in range(_A				):
		snake_case_						       =	num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
		if num_shards_to_add == 0:
			break
		snake_case_						       =	shards_indices_per_group[-1].stop if shards_indices_per_group else 0
		snake_case_						       =	range(_A	,      start + num_shards_to_add				)
		shards_indices_per_group.append(_A				)
	return shards_indices_per_group


def 		lowerCamelCase__       (						_A	,      _A				):







	'''simple docstring'''





	snake_case_						       =	_number_of_shards_in_gen_kwargs(_A				)
	if num_shards == 1:
		return [dict(_A				)]
	else:
		snake_case_						       =	_distribute_shards(num_shards=_A	,      max_num_jobs=_A				)
		return [
		    {
		        key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
		        if isinstance(_A	,      _A				)
		        else value
		        for key, value in gen_kwargs.items()
		    }
		    for group_idx in range(len(_A				)				)
		]


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	return {
	    key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
	    if isinstance(gen_kwargs_list[0][key]	,      _A				)
	    else gen_kwargs_list[0][key]
	    for key in gen_kwargs_list[0]
	}






def 		lowerCamelCase__       (						_A	,      _A				):







	'''simple docstring'''





	snake_case_						       =	{len(_A				) for value in gen_kwargs.values() if isinstance(_A	,      _A				)}
	snake_case_						       =	{}
	for size in list_sizes:
		snake_case_						       =	list(range(_A				)				)
		rng.shuffle(indices_per_size[size]				)
	# Now let's copy the gen_kwargs and shuffle the lists based on their sizes
	snake_case_						       =	dict(_A				)
	for key, value in shuffled_kwargs.items():
		if isinstance(_A	,      _A				):
			snake_case_						       =	[value[i] for i in indices_per_size[len(_A				)]]
	return shuffled_kwargs


'''simple docstring'''
from __future__ import annotations

lowerCAmelCase					:    Union[str, Any]           = [-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
lowerCAmelCase					:    List[str]           = [-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]







def 		A_(     A						:		list[float]):
							UpperCamelCase   			=     []
							UpperCamelCase   			=     len(A)

							for i in range(A):
														UpperCamelCase   			=     -1
														for j in range(i + 1		,     A):
																					if arr[i] < arr[j]:
																												UpperCamelCase   			=     arr[j]
																												break
														result.append(A)
							return result







def 		A_(     A						:		list[float]):
							UpperCamelCase   			=     []
							for i, outer in enumerate(A):
														UpperCamelCase   			=     -1
														for inner in arr[i + 1 :]:
																					if outer < inner:
																												UpperCamelCase   			=     inner
																												break
														result.append(A)
							return result







def 		A_(     A						:		list[float]):
							UpperCamelCase   			=     len(A)
							UpperCamelCase   			=     []
							UpperCamelCase   			=     [-1] * arr_size

							for index in reversed(range(A)):
														if stack:
																					while stack[-1] <= arr[index]:
																												stack.pop()
																												if not stack:
																																			break
														if stack:
																					UpperCamelCase   			=     stack[-1]
														stack.append(arr[index])
							return result


if __name__ == "__main__":
						from doctest import testmod
						from timeit import timeit

						testmod()
						print(next_greatest_element_slow(arr))
						print(next_greatest_element_fast(arr))
						print(next_greatest_element(arr))

						lowerCAmelCase					:    Optional[Any]           = (
						    'from __main__ import arr, next_greatest_element_slow, '
						    'next_greatest_element_fast, next_greatest_element'
						)
						print(
						    'next_greatest_element_slow():',
						    timeit('next_greatest_element_slow(arr)', setup=setup),
						)
						print(
						    'next_greatest_element_fast():',
						    timeit('next_greatest_element_fast(arr)', setup=setup),
						)
						print(
						    '     next_greatest_element():',
						    timeit('next_greatest_element(arr)', setup=setup),
						)




