





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__lowerCamelCase       :     str   =     {
    """configuration_owlvit""": [
        """OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """OwlViTConfig""",
        """OwlViTOnnxConfig""",
        """OwlViTTextConfig""",
        """OwlViTVisionConfig""",
    ],
    """processing_owlvit""": ["""OwlViTProcessor"""],
}


try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase       :     Optional[Any]   =     ["""OwlViTFeatureExtractor"""]
    __lowerCamelCase       :     Optional[int]   =     ["""OwlViTImageProcessor"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase       :     Union[str, Any]   =     [
        """OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """OwlViTModel""",
        """OwlViTPreTrainedModel""",
        """OwlViTTextModel""",
        """OwlViTVisionModel""",
        """OwlViTForObjectDetection""",
    ]

if TYPE_CHECKING:
    from .configuration_owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTOnnxConfig,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
    from .processing_owlvit import OwlViTProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_owlvit import OwlViTFeatureExtractor
        from .image_processing_owlvit import OwlViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )

else:
    import sys

    __lowerCamelCase       :     Union[str, Any]   =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)







def 		A_				(     _lowerCAmelCase = 50     )						-> int:
 UpperCamelCase	:					List[Any]       	=   [[0] * 3 for _ in range(length + 1     )]

 for row_length in range(length + 1     ):
  for tile_length in range(2							,   5     ):
   for tile_start in range(row_length - tile_length + 1     ):
    different_colour_ways_number[row_length][tile_length - 2] += (
        different_colour_ways_number[row_length - tile_start - tile_length][
            tile_length - 2
        ]
        + 1
    )

 return sum(different_colour_ways_number[length]     )


if __name__ == "__main__":
    print(f"""{solution() = }""")
