//go:linkname syscall_Syscall syscall.Syscall
//go:nosplit
func syscall_Syscall(fn, nargs, a1, a2, a3 uintptr) (r1, r2, err uintptr) {
	args := [...]uintptr{a1, a2, a3}
	return syscall_SyscallN(fn, args[:nargs]...)
}

//go:linkname syscall_Syscall6 syscall.Syscall6
//go:nosplit
func syscall_Syscall6(fn, nargs, a1, a2, a3, a4, a5, a6 uintptr) (r1, r2, err uintptr) {
	args := [...]uintptr{a1, a2, a3, a4, a5, a6}

	var args []*operand // not valid for _Make, _New, _Offsetof, _Trace
	var nargs int
	switch id {
	default:
		// check all arguments
		args = check.exprList(argList)
		nargs = len(args)
		for _, a := range args {
			if a.mode == invalid {
				return
			}
		}
		// first argument is always in x
		if nargs > 0 {
			*x = *args[0]
		}
	case _Make, _New, _Offsetof, _Trace:

func NewBalancedAllocation(_ context.Context, baArgs runtime.Object, h framework.Handle, fts feature.Features) (framework.Plugin, error) {
	args, ok := baArgs.(*config.NodeResourcesBalancedAllocationArgs)
	if !ok {
		return nil, fmt.Errorf("want args to be of type NodeResourcesBalancedAllocationArgs, got %T", baArgs)
	}

	if err := validation.ValidateNodeResourcesBalancedAllocationArgs(nil, args); err != nil {
		return nil, err
	}

    },
    {
      ^bb0(%barg0: tensor<i32>, %barg1: tensor<!tf_type.variant>):
       %1 = "tf.TensorListLength"(%barg1) : (tensor<!tf_type.variant>) -> tensor<i32>
       "tf.Yield"(%1, %barg1) : (tensor<i32>, tensor<!tf_type.variant>) -> ()

      // verify body types
      // CHECK: ^bb0(%[[BARG0:.*]]: tensor<i32>, %[[BARG1:.*]]: tensor<*xf32>):
      // CHECK-NOT: tensor<!tf_type.variant>

				// If the receiver has any targs, set those as the
				// rparams of the method (since those are the
				// typeparams being used in the method sig/body).
				targs := baseType(recv.Type()).TypeArgs()
				var rparams []*types.TypeParam
				if targs.Len() > 0 {
					rparams = make([]*types.TypeParam, targs.Len())
					for i := range rparams {
						rparams[i], _ = targs.At(i).(*types.TypeParam)
					}
				}

Tres Popp <******@****.***> 1648211118 -0700

var libc_ioctl uintptr

// Implemented in syscall/syscall_aix.go.
func syscall6(trap, nargs, a1, a2, a3, a4, a5, a6 uintptr) (r1, r2 uintptr, err syscall.Errno)

func Ioctl(fd int, cmd int, args unsafe.Pointer) (err error) {
	_, _, e1 := syscall6(uintptr(unsafe.Pointer(&libc_ioctl)), 3, uintptr(fd), uintptr(cmd), uintptr(args), 0, 0, 0)
	if e1 != 0 {
		err = e1
	}
	return

  # List all .whl files by their modification time (ls -t) and move anything
  # other than the most recently-modified one (the newest one).
  mkdir -p $TFCI_OUTPUT_DIR/extra_wheels
  ls -t *.whl | tail -n +2 | xargs mv -t $TFCI_OUTPUT_DIR/extra_wheels
fi

# Repair wheels with auditwheel and delete the old one.
if [[ "$TFCI_WHL_AUDIT_ENABLE" == "1" ]]; then
  python3 -m auditwheel repair --plat "$TFCI_WHL_AUDIT_PLAT" --wheel-dir . *.whl

  // CHECK-NOT: tf.TensorListPopBack
  // CHECK: return
  func.return
}
// CHECK: func @while_body(%[[BARG0:.*]]: tensor<10xf32>, %[[BARG1:.*]]: tensor<i32>, %[[BARG2:.*]]: tensor<1xi32>)
func.func @while_body(%arg0: tensor<!tf_type.variant<tensor<f32>>>, %arg1: tensor<i32>) -> (tensor<!tf_type.variant<tensor<f32>>>, tensor<i32>) {

        then:
        result == delegateResult
        1 * incrementalPipeline.execute(incrementalWork, context) >> delegateResult
        0 * _
    }

    def "barfs at unknown type of work"() {
        when:
        step.execute(work, context)

        then:
        def ex = thrown AssertionError
        ex.message.startsWith("Invalid work type: ${work.class.name}")
    }