then:
        assert containsLine(result.getOutput(), "START [Test class SomeTest] [SomeTest]")
        assert containsLine(result.getOutput(), "FINISH [Test class SomeTest] [SomeTest]")
        assert containsLine(result.getOutput(), "START [Test testPass(SomeTest)] [testPass]")
        assert containsLine(result.getOutput(), "FINISH [Test testPass(SomeTest)] [testPass] [null]")

        then:
        containsLine(result.getOutput(), "START [Gradle Test Run :test] [Gradle Test Run :test]")
        containsLine(result.getOutput(), "FINISH [Gradle Test Run :test] [Gradle Test Run :test] [FAILURE] [4]")

        containsLine(result.getOutput(), matchesRegexp("START \\[Gradle Test Executor \\d+\\] \\[Gradle Test Executor \\d+\\]"))

      auto dcast = b.create<quantfork::DequantizeCastOp>(
          dq.getLoc(), dq.getOutput().getType(), dq.getInput());
      dq.getOutput().replaceAllUsesWith(dcast);
      dq.erase();
    } else if (auto q = llvm::dyn_cast<QuantizeOp>(op)) {
      auto qcast = b.create<quantfork::QuantizeCastOp>(
          q.getLoc(), q.getOutput().getType(), q.getInput());
      q.getOutput().replaceAllUsesWith(qcast);
      q.erase();

                                                 split_dimension_op.getOutput(),
                                                 reshape_op.getOutput());

    // Squeeze each batch, i.e. reshape
    // [1, num_rows, num_cols] -> [num_rows, num_cols]
    for (const auto& split_value : split_op.getOutput()) {
      auto reshape_op = createReshapeOp(split_value, {num_rows, num_cols},

    @Override
    public ExecutionResult getIgnoreBuildSrc() {
        return new ErrorsOnStdoutScrapingExecutionResult(delegate.getIgnoreBuildSrc());
    }

    @Override
    public String getOutput() {
        return delegate.getOutput();
    }

    @Override
    public String getNormalizedOutput() {
        return delegate.getNormalizedOutput();
    }

    @Override
    public String getFormattedOutput() {

    // Only rewrite if the Broadcast has only one consumer.
    if (!op.getOutput().hasOneUse()) return failure();

    Operation *user = *op.getOutput().getUsers().begin();

    auto reshape_op = llvm::dyn_cast_or_null<ReshapeOp>(user);
    if (!reshape_op) return failure();

    auto reshape_type =
        mlir::cast<ShapedType>(reshape_op.getOutput().getType());

    if (!reshape_type.hasStaticShape()) return failure();

    return rewriter.create<TF::ConstOp>(loc, static_shape_attr).getOutput();
  }

  // If the shape is not static, create a new ShapeOp.
  BoolAttr false_attr = rewriter.getBoolAttr(false);
  return rewriter
      .create<TF::ShapeOp>(loc, input,
                           /*use_32bit=*/false_attr)
      .getOutput();
}

mlir::TFL::MirrorPaddingType GetTFLMirrorPaddingFromString(

        if (component instanceof SourceComponentSpec) {
            SourceComponentSpec sourceComponentSpec = (SourceComponentSpec) component;
            builder.getOutput().println();
            builder.collection("Source sets", CollectionUtils.sort(sourceComponentSpec.getSources().values(), SourceSetRenderer.SORT_ORDER), sourceSetRenderer, "source sets");
        }

        def resultHandler = new TestResultHandler()
        build.run(resultHandler)

        poll(60) {
            assert getOutput().contains(FOO.prompt)
        }

        stdinWriter.write((answer1 + System.getProperty('line.separator')).bytes)

        poll(60) {
            assert getOutput().contains(BAR.prompt)
        }

        stdinWriter.write((answer2 + System.getProperty('line.separator')).bytes)

    }

    @Override
    public String getOutput() {
        outputFeatureCheck.verify();
        return delegateBuildResult.getOutput();
    }

    @Override
    public List<BuildTask> getTasks() {
        return delegateBuildResult.getTasks();
    }

    @Override