setup:
        sampleBuildWithTest()

        when:
        String output1 = runTaskAndTestClassUsing(firstDebug)
        String output2 = runTaskAndTestClassUsing(secondDebug)

        then:
        assertTestDebugMode(output1, firstDebug)
        assertTestDebugMode(output2, secondDebug)

        where:
        scenarioName                     | firstDebug | secondDebug

        }

        and:
        outputs.stdOut.contains("BEFORE OUT")
        stripped(outputs.stdOut).contains(result1.output)
        stripped(outputs.stdOut).contains(result2.output)
        outputs.stdOut.contains("AFTER OUT")

        and:
        outputs.stdErr.contains("BEFORE ERR")
        stripped(outputs.stdOut).contains(result1.error)
        stripped(outputs.stdOut).contains(result2.error)

  func.func @conv_with_multiple_uses(%arg0: tensor<1x3x4x3xf32> {tf_saved_model.index_path = ["input"]}) -> (tensor<1x3x2x2xf32> {tf_saved_model.index_path = ["output"]}, tensor<1x3x2x1xf32> {tf_saved_model.index_path = ["output2"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input:0", outputs = "PartitionedCall:0, Sum:0"}, tf_saved_model.exported_names = ["serving_default"]} {

  return options;
}

Status ClientSession::Run(const std::vector<Output>& fetch_outputs,
                          std::vector<Tensor>* outputs) const {
  return Run(FeedType{}, fetch_outputs, {}, outputs);
}

Status ClientSession::Run(const FeedType& inputs,
                          const std::vector<Output>& fetch_outputs,
                          std::vector<Tensor>* outputs) const {
  return Run(inputs, fetch_outputs, {}, outputs);
}

            apply plugin: "base"
            task customTask {
                inputs.file "input.txt"
                outputs.file "build/output" withPropertyName "output"
                outputs.cacheIf { true }
                doLast {
                  mkdir('build/output')
                  file('build/output/output.txt').text = file('input.txt').text
                }
            }
        """

        then:

        [_AsClassName(x) for x in ctx.attr.srcs],
    )
    ctx.actions.write(output = ctx.outputs.out, content = _OUTPUT % (
        classes,
        ctx.attr.outname,
    ))

_GenSuite = rule(
    attrs = {
        "srcs": attr.label_list(allow_files = True),
        "outname": attr.string(),
    },
    outputs = {"out": "%{name}.java"},
    implementation = _impl,
)

                outputs.file("output.txt")
                    .withPropertyName("$NON_ASCII_NAME")
                outputs.cacheIf { true }
                doLast {
                    file("output.txt").text = "output"
                }
            }
        """

        when:
        withBuildCache().run("createFile", "-Dfile.encoding=$fileEncoding")
        then:

// Fatal outputs a message at fatal level.
func Fatal(fields any) {
	defaultScope.Fatal(fields)
}

// Fatalf uses fmt.Sprintf to construct and log a message at fatal level.
func Fatalf(format string, args ...any) {
	defaultScope.Fatalf(format, args...)
}

// FatalEnabled returns whether output of messages using this scope is currently enabled for fatal-level output.
func FatalEnabled() bool {

                // See https://github.com/gradle/gradle/issues/18460.
                LOGGER.debug("More outputs are being registered even though the build output cleanup registry has already been finalized. New outputs: {}", files);
            } else {
                this.outputs.add(fileCollectionFactory.resolving(files));
            }
        }
    }

    @Override

        outputs.add(output);
    }

    /**
     * Returns concatenated non-empty output entries.
     */
    public String getOutput() {
        List<String> nonEmptyOutputs = filter(outputs, string -> !string.equals(""));
        return join("\n", nonEmptyOutputs);
    }

    /**
     * Returns all output entries.
     */
    public List<String> getOutputs() {
        return outputs;
    }

    /**