llvm::iterator_range<DenseElementsAttr::ElementIterator<T>> sizes) {
  return tensorflow::TensorShape(
      llvm::SmallVector<int64_t, num_dims>(sizes.begin(), sizes.end()));
}

// Returns a limit scalar const op for the given type.
// Requires FloatType or IntegerType
static ConstantOp GetScalarLimitConstOfType(Type ty, Location loc,
                                            hlo::ScalarLimit limit,

	C_FREG     /* Any fpr register */
	C_VREG     /* Any vector register */
	C_VSREGP   /* An even numbered vsx register which can be used as a vsx register pair argument */
	C_VSREG    /* Any vector-scalar register */
	C_CREG     /* The condition registor (CR) */
	C_CRBIT    /* A single bit of the CR register (0-31) */
	C_SPR      /* special processor register */
	C_AREG     /* MMA accumulator register */

	}
}

func TestUserArenaClearsPointerBits(t *testing.T) {
	// This is a regression test for a serious issue wherein if pointer bits
	// aren't properly cleared, it's possible to allocate scalar data down
	// into a previously pointer-ful area, causing misinterpretation by the GC.

	// Create a large object, grab a pointer into it, and free it.
	x := new([8 << 20]byte)
	xp := uintptr(unsafe.Pointer(&x[124]))

    const tensorflow::DeviceMgr* mgr, OpBuilder builder) {
  if (resource_tensor.dtype() != tensorflow::DT_RESOURCE) {
    return GetTensorValueAsElementsAttr(resource_tensor, builder);
  }

  auto handle = resource_tensor.scalar<tensorflow::ResourceHandle>()();
  auto* var_ptr = tf_saved_model::GetVariableFromSession(var_handle_op,
                                                         handle.device(), mgr);
  if (!var_ptr) {
    return nullptr;

  TFL_OperandHasRank<0, 2>,
  PredOpTrait<"boxes should have dim[1] == 4",
      TFL_OperandDimEquals<0, 1, 4>>,
  // Operand 1 (scores) should be a 1-dim tensor
  TFL_OperandHasRank<1, 1>,
  // Other operands are scalar params.
  TFL_OperandHasRank<2, 0>, TFL_OperandHasRank<3, 0>,
  TFL_OperandHasRank<4, 0>]> {
  let summary = [{
Greedily selects a subset of bounding boxes in descending order of score,
  }];

must only be used on lists and may have 3 possible values:\n\n1) `atomic`: the list is treated as a single entity, like a scalar.\n     Atomic lists will be entirely replaced when updated. This extension\n     may be used on any type of list (struct, scalar, ...).\n2) `set`:\n     Sets are lists that must not have multiple items with the same value. Each\n     value must be a scalar, an object with x-kubernetes-map-type `atomic` or an\n     array with x-kubernetes-list-type `atomic`.\n3) `map`:\n   ...

			t.SetDeferwidth(false)
			CalcSize(t)
		}
	}

	defercalc--
}

// PtrDataSize returns the length in bytes of the prefix of t
// containing pointer data. Anything after this offset is scalar data.
//
// PtrDataSize is only defined for actual Go types. It's an error to
// use it on compiler-internal types (e.g., TSSA, TRESULTS).
func PtrDataSize(t *Type) int64 {
	CalcSize(t)
	x := t.ptrBytes

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

=== "Python 3.10+"

    ```Python hl_lines="16  21"
    {!> ../../../docs_src/response_model/tutorial001_01_py310.py!}
    ```

=== "Python 3.9+"

def OneElementAttrPred
  : CPred<"$_self.cast<ElementsAttr>().getShapedType().getNumElements() == 1">;

def OneElementAttr
  : ElementsAttrBase<And<[ElementsAttr.predicate, OneElementAttrPred]>,
                     "Scalar ElementsAttr">;

def HasRankedFirstOperand
  : Constraint<CPred<"(*$0.begin()).getType().isa<RankedTensorType>()">>;

def IsShapedTensor
  : Constraint<CPred<"$0.getType().isa<RankedTensorType>()">>;

must only be used on lists and may have 3 possible values:\n\n1) `atomic`: the list is treated as a single entity, like a scalar.\n     Atomic lists will be entirely replaced when updated. This extension\n     may be used on any type of list (struct, scalar, ...).\n2) `set`:\n     Sets are lists that must not have multiple items with the same value. Each\n     value must be a scalar, an object with x-kubernetes-map-type `atomic` or an\n     array with x-kubernetes-list-type `atomic`.\n3) `map`:\n   ...