
'''simple docstring'''







from __future__ import annotations

_lowercase :  List[str]    							=       [-1_0, -5, 0, 5, 5.1, 1_1, 1_3, 2_1, 3, 4, -2_1, -1_0, -5, -1, 0]
_lowercase :  List[Any]    							=       [-5, 0, 5, 5.1, 1_1, 1_3, 2_1, -1, 4, -1, -1_0, -5, -1, 0, -1]
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: list[float]							):



						"""simple docstring"""





						lowercase_	:     Dict													=       []
						lowercase_	:     int													=       len(__SCREAMING_SNAKE_CASE							)

						for i in range(__SCREAMING_SNAKE_CASE							):
												lowercase_	:     float													=       -1
												for j in range(i + 1      ,      __SCREAMING_SNAKE_CASE							):
																		if arr[i] < arr[j]:
																								lowercase_	:     int													=       arr[j]
																								break
												result.append(__SCREAMING_SNAKE_CASE							)
						return result
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: list[float]							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       []
						for i, outer in enumerate(__SCREAMING_SNAKE_CASE							):
												lowercase_	:     float													=       -1
												for inner in arr[i + 1 :]:
																		if outer < inner:
																								lowercase_	:     Tuple													=       inner
																								break
												result.append(__SCREAMING_SNAKE_CASE							)
						return result
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: list[float]							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       len(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     list[float]													=       []
						lowercase_	:     list[float]													=       [-1] * arr_size

						for index in reversed(range(__SCREAMING_SNAKE_CASE							)							):
												if stack:
																		while stack[-1] <= arr[index]:
																								stack.pop()
																								if not stack:
																														break
												if stack:
																		lowercase_	:     Tuple													=       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))

							_lowercase :  Union[str, 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),
							)





'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowercase :  Union[str, Any]    							=       {
    "configuration_pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
    "processing_pix2struct": ["Pix2StructProcessor"],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase :  Dict    							=       ["Pix2StructImageProcessor"]


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase :  List[str]    							=       [
							    "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "Pix2StructPreTrainedModel",
							    "Pix2StructForConditionalGeneration",
							    "Pix2StructVisionModel",
							    "Pix2StructTextModel",
							]

if TYPE_CHECKING:
							from .configuration_pixastruct import (
							    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    PixaStructConfig,
							    PixaStructTextConfig,
							    PixaStructVisionConfig,
							)
							from .processing_pixastruct import PixaStructProcessor

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_pixastruct import PixaStructImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_pixastruct import (
														    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PixaStructForConditionalGeneration,
														    PixaStructPreTrainedModel,
														    PixaStructTextModel,
														    PixaStructVisionModel,
														)

else:
							import sys

							_lowercase :  Optional[int]    							=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



