from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    get_objects_from_module,
    is_torch_available,
    is_transformers_available,
)


_dummy_objects = {}
_import_structure = {}

try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils import dummy_torch_and_transformers_objects  # noqa F403

    _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
else:
    _import_structure["camera"] = ["create_pan_cameras"]
    _import_structure["pipeline_shap_e"] = ["ShapEPipeline"]
    _import_structure["pipeline_shap_e_img2img"] = ["ShapEImg2ImgPipeline"]
    _import_structure["renderer"] = [
        "BoundingBoxVolume",
        "ImportanceRaySampler",
        "MLPNeRFModelOutput",
        "MLPNeRSTFModel",
        "ShapEParamsProjModel",
        "ShapERenderer",
        "StratifiedRaySampler",
        "VoidNeRFModel",
    ]

if TYPE_CHECKING:
    try:
        if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()

    except OptionalDependencyNotAvailable:
        from ...utils.dummy_torch_and_transformers_objects import *
    else:
        from .camera import create_pan_cameras
        from .pipeline_shap_e import ShapEPipeline
        from .pipeline_shap_e_img2img import ShapEImg2ImgPipeline
        from .renderer import (
            BoundingBoxVolume,
            ImportanceRaySampler,
            MLPNeRFModelOutput,
            MLPNeRSTFModel,
            ShapEParamsProjModel,
            ShapERenderer,
            StratifiedRaySampler,
            VoidNeRFModel,
        )

else:
    import sys

    sys.modules[__name__] = _LazyModule(
        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
    )

    for name, value in _dummy_objects.items():
        setattr(sys.modules[__name__], name, value)
