public static final String ERRORS_could_not_open_on_system = "{errors.could_not_open_on_system}";

    /** The key of the message: No more results could be displayed. */
    public static final String ERRORS_result_size_exceeded = "{errors.result_size_exceeded}";

    /** The key of the message: {0} file does not exist. */

//   id0 = arg0
//   if-then-branch: [u0,   arg0, arg0]
//   if-else-branch: [arg0, arg0, arg1]
//     => first result is unknown, second and third is passthrough
//   if results    : [*,    arg0, {arg0, arg1}[
//   ID #2: read (unknown)         -> succ {5, 6)
//   ID #3: read (arg0)            -> succ {5}
//   ID #4: read({arg0,arg1})      -> succ {5,6}
//   ID #5: write(arg0)

		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},
		roots:         []string{startComRoot},

outputDirectory:
 - transformed \\(Directory, [0-9a-f]+\\)
   - 0 \\(Directory, [0-9a-f]+\\)
     - lib1-green.jar \\(RegularFile, [0-9a-f]+\\)
   - tamper-tamper.txt \\(RegularFile, [0-9a-f]+\\)

resultsFile:
 - results.bin \\(RegularFile, [0-9a-f]+\\)""")
        run "util:resolve"

        then:
        output.count("Transformed") == 1
    }

    def "long transformation chain works"() {
        given:

	// 3. Check if 2.A has committed in Tx (pass) or outside of Tx (fail).
	sendQuery := make(chan struct{})
	// The Tx status is returned through the row results, ensure
	// that the rows results are not canceled.
	bypassRowsAwaitDone = true
	hookTxGrabConn = func() {
		cancel()
		<-sendQuery
	}
	rollbackHook = func() {
		close(sendQuery)
	}
	defer func() {

        dilations=[1, 1, 1, 1],
        padding='SAME',
        data_format='NHWC',
    )

    return {'output': out}


# TODO(b/280208261): Add unit tests for comparing unquantized and
# quantized results
@test_util.run_all_in_graph_and_eager_modes
class QuantizationOptionsTest(quantize_model_test_base.QuantizedModelTest):
  """Test cases regarding the use of QuantizationOptions proto.

				},
				{
					Name:   "node2",
					Scores: []framework.PluginScore{},
				},
			},
		},
	}

	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			// Inject the results via Args in PluginConfig.
			profile := config.KubeSchedulerProfile{
				Plugins:      tt.plugins,
				PluginConfig: tt.pluginConfigs,
			}
			ctx, cancel := context.WithCancel(context.Background())

	kubecontainer "k8s.io/kubernetes/pkg/kubelet/container"
	containertest "k8s.io/kubernetes/pkg/kubelet/container/testing"
	"k8s.io/kubernetes/pkg/kubelet/metrics"
	"k8s.io/kubernetes/pkg/kubelet/prober/results"
	"k8s.io/kubernetes/pkg/kubelet/secret"
	"k8s.io/kubernetes/pkg/kubelet/status"
	kubetypes "k8s.io/kubernetes/pkg/kubelet/types"
	netutils "k8s.io/utils/net"
	"k8s.io/utils/ptr"
)

}

TypeAttr RescaleQtype(Type input, Attribute factor) {
  return quant::RescaleQuantizedType(input, factor);
}

// Returns `true` if reducing `axes` in `input` with `keep_dims=true` results in
// the specified `shape` and `false` otherwise.
static bool ShapeMatchesReduceWithKeepAxes(Value input,
                                           const mlir::Attribute &axes,

	fv := MakeFunc(TypeOf(f), func(in []Value) []Value { return in })
	ValueOf(&f).Elem().Set(fv)

	// Call g with small arguments so that there is
	// something predictable (and different from the
	// correct results) in those positions on the stack.
	g := dummy
	g(1, 2, 3, two{4, 5}, 6, 7, 8)

	// Call constructed function f.
	i, j, k, l, m, n, o := f(10, 20, 30, two{40, 50}, 60, 70, 80)