





'''simple docstring'''

def lowerCamelCase						(     __lowerCamelCase :    list[int]    )						->int:
    if not numbers:
        return 0

    if not isinstance(__lowerCamelCase					,       (list, tuple)    ) or not all(
        isinstance(__lowerCamelCase					,       __lowerCamelCase    ) 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(__lowerCamelCase    )    ):
        # 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(__lowerCamelCase					,       max_till_now * number    )
        _SCREAMING_SNAKE_CASE									=			min(__lowerCamelCase					,       min_till_now * number    )

        # update the maximum product found till now
        _SCREAMING_SNAKE_CASE									=			max(__lowerCamelCase					,       __lowerCamelCase    )

    return max_prod







"""simple docstring"""
from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
			from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline





