if protocol == "" {
				protocol = "tcp"
			}
			matches, output, masq := tracePacket(t, ipt, tc.sourceIP, protocol, tc.destIP, fmt.Sprintf("%d", tc.destPort), nodeIPs)
			var errors []string
			if output != tc.output {
				errors = append(errors, fmt.Sprintf("wrong output: expected %q got %q", tc.output, output))
			}
			if masq != tc.masq {

}

// CHECK-LABEL: @FuseReshapeAroundBMMRHS
func.func @FuseReshapeAroundBMMRHS(%arg0: tensor<1x3x6x5x1024xf32>) -> tensor<1x3x6x5x8192xf32> attributes {tf.entry_function = {control_outputs = "", inputs = "inputs", outputs = "Identity_1"}} {
  %cst = arith.constant dense_resource<__elided__> : tensor<1x1024x8192xf32>
  %cst_0 = arith.constant dense_resource<__elided__> : tensor<5xi32>

  // CHECK-NEXT: %[[OUTPUT_STATE:.*]], %[[OUTPUT:.*]] = "mhlo.rng_bit_generator"(%[[STATE]]) <{rng_algorithm = #mhlo.rng_algorithm<DEFAULT>}> : (tensor<2xui64>) -> (tensor<2xui64>, tensor<10x12xui32>)
  // CHECK-NEXT: return %[[OUTPUT_STATE]], %[[OUTPUT]] : tensor<2xui64>, tensor<10x12xui32>

            /*broadcast_dimensions=*/DenseI64ArrayAttr());
      }

      if (std::is_same<FusedBatchNormOpT, TF::FusedBatchNormV2Op>::value) {
        // FusedBatchNormV2 expects 4 outputs.
        // Outputs 3 and 4 are currently marked as "reserved spaces 1 and 2".
        // They are used to pass the per-batch mean and variance to the
        // gradiant. Here we maintain the same behavior by setting them to the

- [`KT-63040`](https://youtrack.jetbrains.com/issue/KT-63040) K/JS: Rework outputs of webpack and distribution task
- [`KT-61992`](https://youtrack.jetbrains.com/issue/KT-61992) KJS / Gradle: KotlinJsTest using KotlinMocha should not show output, and should not run a dry-run every time.