ComponentUtil.getLdapManager().insert(group);

        groupBhv.insertOrUpdate(group, op -> {
            op.setRefreshPolicy(Constants.TRUE);
        });

    }

    public void delete(final Group group) {
        ComponentUtil.getLdapManager().delete(group);

        groupBhv.delete(group, op -> {
            op.setRefreshPolicy(Constants.TRUE);
        });

        ComponentUtil.getLdapManager().insert(role);

        roleBhv.insertOrUpdate(role, op -> {
            op.setRefreshPolicy(Constants.TRUE);
        });

    }

    public void delete(final Role role) {
        ComponentUtil.getLdapManager().delete(role);

        roleBhv.delete(role, op -> {
            op.setRefreshPolicy(Constants.TRUE);
        });

	op = strings.Replace(op, "(*stsAPIHandlers)", "sts", 1)
	op = strings.Replace(op, "(*peerS3Server)", "s3", 1)
	op = strings.Replace(op, "ClusterCheckHandler", "health.Cluster", 1)
	op = strings.Replace(op, "ClusterReadCheckHandler", "health.ClusterRead", 1)
	op = strings.Replace(op, "LivenessCheckHandler", "health.Liveness", 1)
	op = strings.Replace(op, "ReadinessCheckHandler", "health.Readiness", 1)
	op = strings.Replace(op, "-fm", "", 1)
	return op
}

// Return an add op multiplying `a` by `b`.
TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);

// Return a matmul op multiplying `a` by `b`.
TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);

// Return an identity op.
TFE_Op* IdentityOp(TFE_Context* ctx, TFE_TensorHandle* a);

// Return a shape op fetching the shape of `a`.

  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op(
      TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp);
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT);
  TFE_OpSetAttrShape(op.get(), "shape", {}, 0, status.get());
  TFE_OpSetAttrString(op.get(), "container", "", 0);
  TFE_OpSetAttrString(op.get(), "shared_name", "", 0);

}

void TFE_DeleteOp(TFE_Op* op) {
  if (op == nullptr) {
    return;
  }

  tensorflow::unwrap(op)->Release();
}

const char* TFE_OpGetName(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->Name().c_str();
}

TFE_Context* TFE_OpGetContext(const TFE_Op* op, TF_Status* status) {
  return tensorflow::wrap(tensorflow::unwrap(op)->GetContext());
}

// MRC or MCR.
func IsARMMRC(op obj.As) bool {
	switch op {
	case arm.AMRC, aMCR: // Note: aMCR is defined in this package.
		return true
	}
	return false
}

// IsARMBFX reports whether the op (as defined by an arm.A* constant) is one the
// BFX-like instructions which are in the form of "op $width, $LSB, (Reg,) Reg".
func IsARMBFX(op obj.As) bool {
	switch op {
	case arm.ABFX, arm.ABFXU, arm.ABFC, arm.ABFI:

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.

      // the operation would be a no-op, so exceptions are allowed but not required
    }
    expectUnchanged();
  }

  @MapFeature.Require(absent = SUPPORTS_PUT)
  public void testReplaceEntry_unsupportedAbsentKey() {
    try {
      getMap().replace(k3(), v3(), v4());
    } catch (UnsupportedOperationException tolerated) {
      // the operation would be a no-op, so exceptions are allowed but not required
    }

    public static OptionalEntity<Role> getRole(final CreateForm form) {
        return getEntity(form).map(entity -> {
            copyMapToBean(form.attributes, entity, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));
            copyBeanToBean(form, entity, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));
            return entity;
        });
    }