@Language("java")
    private static final JAVA_PLUGIN_EXTENSION = """
        package com.example.restricted;

        import org.gradle.declarative.dsl.model.annotations.Adding;
        import org.gradle.declarative.dsl.model.annotations.Configuring;
        import org.gradle.declarative.dsl.model.annotations.Restricted;
        import org.gradle.api.Action;

            }

            function.annotations.any { it is Adding } -> {
                check(inType != null)

                check(function.returnType != typeOf<Unit>() || configureLambdas.getTypeConfiguredByLambda(function.parameters.last().type) == null) {
                    "an @Adding function with a Unit return type may not accept configuring lambdas"
                }

   
     * If you have above configuration and using _**Windows**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable.
       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.

}

// All is the table of known settings, sorted by Name.
//
// Note: After adding entries to this table, run 'go generate runtime/metrics'
// to update the runtime/metrics doc comment.
// (Otherwise the runtime/metrics test will fail.)
//
// Note: After adding entries to this table, update the list in doc/godebug.md as well.
// (Otherwise the test in this package will fail.)
var All = []Info{

        """
    }

    static String getAnotherSoftwareTypeExtension() {
        return """
            package org.gradle.test;

            import org.gradle.declarative.dsl.model.annotations.Adding;
            import org.gradle.declarative.dsl.model.annotations.Configuring;
            import org.gradle.declarative.dsl.model.annotations.Restricted;

            import org.gradle.api.Action;

A web-based, searchable dependency report is available by adding the --scan option.

BUILD SUCCESSFUL in 0s

}

// CreateTemp creates a new temporary file in the directory dir,
// opens the file for reading and writing, and returns the resulting file.
// The filename is generated by taking pattern and adding a random string to the end.
// If pattern includes a "*", the random string replaces the last "*".
// The file is created with mode 0o600 (before umask).

			pvc:             pvc.DeepCopy(),
			newConditions:   []v1.PersistentVolumeClaimCondition{},
			finalConditions: []v1.PersistentVolumeClaimCondition{},
		},
		{
			description: "adding new condition",
			pvc:         pvc.DeepCopy(),
			newConditions: []v1.PersistentVolumeClaimCondition{
				{
					Type:   v1.PersistentVolumeClaimFileSystemResizePending,
					Status: v1.ConditionTrue,
				},
			},

      SmallVector<Location>(inputs.size(), quantization_func.getLoc()));
  func_input_arg = block->getArgument(0);
  return quantization_func;
}

// Post-actions after adding quantization logics. Post-actions include
// 1) Adding the created function in the symbol table
// 2) Creating a PartitionedCallOp in the main graph that calls the created
//    function.
TF::PartitionedCallOp FinalizeFunctionRegister(

		return err
	}

	r := &Retract{
		VersionInterval: vi,
	}
	if vi.Low == vi.High {
		r.Syntax = f.Syntax.addLine(nil, "retract", AutoQuote(vi.Low))
	} else {
		r.Syntax = f.Syntax.addLine(nil, "retract", "[", AutoQuote(vi.Low), ",", AutoQuote(vi.High), "]")
	}
	if rationale != "" {
		for _, line := range strings.Split(rationale, "\n") {