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# pylint: disable=invalid-name, unused-import
# ruff: noqa: F401
"""The type nodes of the Relax language."""

import tvm_ffi

from tvm.ir import FuncType, Span, TupleType, Type

from . import _ffi_api


@tvm_ffi.register_object("relax.ShapeType")
class ShapeType(Type):
    """The type of shape in Relax.

    Parameters
    ----------
    ndim : int
        The number of dimensions of the shape. Use -1 for unknown ndim.
    """

    def __init__(self, ndim: int, span: Span = None) -> None:
        self.__init_handle_by_constructor__(_ffi_api.ShapeType, ndim, span)  # type: ignore


@tvm_ffi.register_object("relax.ObjectType")
class ObjectType(Type):
    """A type that corresponds to tvm::runtime::Object, is base of all possible object
    values in TVM."""

    def __init__(self, span: Span = None) -> None:
        self.__init_handle_by_constructor__(_ffi_api.ObjectType, span)  # type: ignore


@tvm_ffi.register_object("relax.DynTensorType")
class TensorType(Type):
    """A dynamic tensor type in Relax.

    This is the type assigned to tensors with a known dtype and unknown shape.

    Parameters
    ----------
    ndim : Optional[int]
        The ndim of the Tensor

    dtype : Optional[str]
        The content data type.
    """

    def __init__(self, ndim=-1, dtype="float32", span: Span = None) -> None:
        self.__init_handle_by_constructor__(_ffi_api.TensorType, ndim, dtype, span)  # type: ignore


@tvm_ffi.register_object("relax.PackedFuncType")
class PackedFuncType(Type):
    """The type of ExternFunc in Relax."""

    def __init__(self, span: Span = None) -> None:
        self.__init_handle_by_constructor__(_ffi_api.PackedFuncType, span)  # type: ignore
