






def 					lowerCamelCase__					(_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')

			SCREAMING_SNAKE_CASE							=			SCREAMING_SNAKE_CASE							=			SCREAMING_SNAKE_CASE							=			numbers[0]

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

						# update the maximum product found till now
						SCREAMING_SNAKE_CASE							=			max(_UpperCAmelCase				,							_UpperCAmelCase)

			return max_prod







"""simple docstring"""


from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase													={
    "configuration_informer": [
        "INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "InformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase													=[
      "INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "InformerForPrediction",
      "InformerModel",
      "InformerPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_informer import (
        INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        InformerForPrediction,
        InformerModel,
        InformerPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase													=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




