



'''simple docstring'''
def A__   (					UpperCAmelCase_							):
						if not numbers:
												return 0

						if not isinstance(UpperCAmelCase_  ,  (list, tuple)							) or not all(
						    isinstance(UpperCAmelCase_  ,  UpperCAmelCase_							) for number in numbers							):
												raise ValueError('numbers must be an iterable of integers'							)

						_UpperCamelCase :		Optional[Any]			    =       numbers[0]

						for i in range(1  ,  len(UpperCAmelCase_							)							):
												# update the maximum and minimum subarray products
												_UpperCamelCase :		Any			    =       numbers[i]
												if number < 0:
																		_UpperCamelCase    ,      _UpperCamelCase :		str			    =       min_till_now, max_till_now
												_UpperCamelCase :		Optional[Any]			    =       max(UpperCAmelCase_  ,  max_till_now * number							)
												_UpperCamelCase :		Any			    =       min(UpperCAmelCase_  ,  min_till_now * number							)

												# update the maximum product found till now
												_UpperCamelCase :		int			    =       max(UpperCAmelCase_  ,  UpperCAmelCase_							)

						return max_prod







'''simple docstring'''
from typing import TYPE_CHECKING

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


snake_case_			:     Optional[int]  	=  {
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     int  	=  ['Mask2FormerImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     List[Any]  	=  [
					    'MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'Mask2FormerForUniversalSegmentation',
					    'Mask2FormerModel',
					    'Mask2FormerPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_maskaformer import MaskaFormerImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_maskaformer import (
										    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaskaFormerForUniversalSegmentation,
										    MaskaFormerModel,
										    MaskaFormerPreTrainedModel,
										)


else:
					import sys

					snake_case_			:     Dict  	=  _LazyModule(__name__, globals()['__file__'], _import_structure)


