}
    }

    int buffer_index = buffers_.size();
    // If a constant is returned as subgraph's output, this constant cannot be
    // deduplicated.
    const bool not_returned_by_subgraph = llvm::none_of(
        value.getUsers(),
        [](Operation* user) { return llvm::isa<mlir::func::ReturnOp>(user); });

#   $1:... : the trap command.
#
# NOTE: this function is duplicated in configure.sh, any changes here should be
# duplicated there as well.
function log-trap-push {
  local t="${*:1}"
  LOG_TRAP_STACK+=("${t}")
  # shellcheck disable=2064
  trap "${t}" EXIT
}

# Removes and restores an EXIT trap.
#
# NOTE: this function is duplicated in configure.sh, any changes here should be

								// TODO: prevent this invalid setting, maybe in 1.12+
								errs = AppendValidation(errs, WrapWarning(fmt.Errorf("duplicated egress host: %s", hostname)))
							}
						} else {
							if len(nssSvcs[ns]) != 0 {
								errs = AppendValidation(errs, WrapWarning(fmt.Errorf("duplicated egress host: %s", hostname)))
							}
						}
						nssSvcs[ns][svc] = true
					}

		currentTime:   1677615892,
		dnsName:       "www.google.com",

		expectedChains: [][]string{
			{"www.google.com", "GTS CA 1C3", "GTS Root R1"},
		},
		// CAPI doesn't build the chain with the duplicated GeoTrust
		// entry so the results don't match.
		systemLax: true,
	},
	{
		name:          "dnssec-exp",
		leaf:          dnssecExpLeaf,
		intermediates: []string{startComIntermediate},

													},
												},
											},
										},
									},
								},
							},
						},
					},
				},
			},
		},
		{
			name:      "inbound duplicated metadata",
			direction: model.TrafficDirectionInbound,
			cluster:   &cluster.Cluster{},
			svcInsts: []model.ServiceTarget{
				{
					Service: &model.Service{
						Attributes: model.ServiceAttributes{

}


// -----

func.func @transpose_perm_axis_duplicated(%arg0 : tensor<2x2xi32>) -> tensor<2x2xi32> {
  %cst = arith.constant dense<[1, 1]> : tensor<2xi32>
  // expected-error @+1 {{perm[1] cannot have duplicated axis}}
  %0 = "tfl.transpose"(%arg0, %cst) : (tensor<2x2xi32>, tensor<2xi32>) -> tensor<2x2xi32>
  func.return %0 : tensor<2x2xi32>
}


// -----