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"""TVM Attribute module, which is mainly used for defining attributes of operators."""

import tvm_ffi
import tvm_ffi._ffi_api as _tvm_ffi_api

from tvm.runtime import Object

from . import _ffi_api


@tvm_ffi.register_object("ir.Attrs")
class Attrs(Object):
    """Attribute node, which is mainly use for defining attributes of operators.

    Used by function registered in python side, such as compute, schedule and alter_layout.
    Attrs is passed as the first argument to these functions.
    """

    def get_int_tuple(self, key):
        """Get a python int tuple of a key

        Parameters
        ----------
        key: str

        Returns
        -------
        value: Tuple of int
        """
        return tuple(x if isinstance(x, int) else x.value for x in getattr(self, key))

    def get_int(self, key):
        """Get a python int value of a key

        Parameters
        ----------
        key: str

        Returns
        -------
        value: int
        """
        return getattr(self, key)

    def get_str(self, key):
        """Get a python int value of a key

        Parameters
        ----------
        key: str

        Returns
        -------
        value: int
        """
        return getattr(self, key)

    def __getitem__(self, item):
        return getattr(self, item)


@tvm_ffi.register_object("ir.DictAttrs")
class DictAttrs(Attrs):
    """Dictionary attributes."""

    @property
    def __dict__(self):
        """Return the underlying key-value map as a Python dict.

        Defined explicitly so that tvm_ffi's _add_class_attrs skips registering
        the C++ reflection field named '__dict__' (Python forbids adding a class
        attribute named '__dict__' via setattr on extension-type subclasses).
        """
        return dict(self._dict())

    def _dict(self):
        """Get internal dict"""
        return _ffi_api.DictAttrsGetDict(self)

    def keys(self):
        """Get list of names in the attribute.

        Returns
        -------
        keys : list of str
            List of keys
        """
        return [k for k, _ in self.items()]

    def __getitem__(self, k):
        return self._dict().__getitem__(k)

    def get(self, key, default=None):
        """Get an element with a default value."""
        return self._dict().get(key, default)

    def __contains__(self, k):
        return self._dict().__contains__(k)

    def __getattr__(self, name):
        try:
            return self._dict().__getitem__(name)
        except KeyError:
            raise AttributeError(f"DictAttrs has no attribute {name}")

    def items(self):
        """Get items from the map."""
        return self._dict().items()

    def __len__(self):
        return self._dict().__len__()


def make_node(type_key, **kwargs):
    """Make a new IR node by its type key and fields

    Parameters
    ----------
    type_key : str
        The type key of the node.

    **kwargs : dict
        The fields of the node.

    Returns
    -------
    node : Node
        The corresponding IR Node

    Note
    ----
    If the created node is instance of AttrsNode, then
    the creator function will also run bound checks and
    default value setup as supported by Attrs.

    Example
    -------
    The following code constructs a IntImm object

    .. code-block:: python

       x = tvm.ir.make_node("ir.IntImm", dtype="int32", value=10, span=None)
       assert isinstance(x, tvm.tirx.IntImm)
       assert x.value == 10
    """
    if type_key == "ir.DictAttrs":
        # DictAttrs stores kwargs as a key-value dict, not as named fields.
        # MakeObjectFromPackedArgs would look for a field named "__dict__".
        return _tvm_ffi_api.MakeObjectFromPackedArgs("ir.DictAttrs", "__dict__", kwargs)
    args = [type_key]
    for k, v in kwargs.items():
        args += [k, v]
    return _tvm_ffi_api.MakeObjectFromPackedArgs(*args)