import org.gradle.internal.classloader.TransformingClassLoader;
import org.gradle.internal.classpath.ClassPath;
import org.objectweb.asm.AnnotationVisitor;
import org.objectweb.asm.ClassReader;
import org.objectweb.asm.ClassVisitor;
import org.objectweb.asm.ClassWriter;
import org.objectweb.asm.Type;

import java.util.ArrayList;
import java.util.List;

/**

        then:
        Node sourceFiles = itemGroup('Filters').Filter.find({it.'@Include' == 'Source Files'}) as Node
        sourceFiles.Extensions[0].text() == 'cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx'

        Node headerFiles = itemGroup('Filters').Filter.find({it.'@Include' == 'Header Files'}) as Node
        headerFiles.Extensions[0].text() == 'h;hpp;h++;hxx;hm;inl;inc;xsd'

import org.jetbrains.org.objectweb.asm.ClassVisitor
import org.jetbrains.org.objectweb.asm.ClassWriter
import org.jetbrains.org.objectweb.asm.Label
import org.jetbrains.org.objectweb.asm.MethodVisitor
import org.jetbrains.org.objectweb.asm.Opcodes
import org.jetbrains.org.objectweb.asm.Opcodes.T_BYTE
import org.jetbrains.org.objectweb.asm.Type

import kotlin.reflect.KClass


fun publicClass(

import org.gradle.internal.util.Trie;
import org.gradle.process.internal.worker.GradleWorkerMain;
import org.objectweb.asm.ClassReader;
import org.objectweb.asm.ClassVisitor;
import org.objectweb.asm.ClassWriter;
import org.objectweb.asm.Type;
import org.objectweb.asm.commons.ClassRemapper;
import org.objectweb.asm.commons.Remapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.BufferedOutputStream;

for whom the bell tolls
the sun also rises

for whom the bell tolls
the sun also rises

for whom the bell tolls
the sun also rises

        performance machine learning models in TensorFlow and similar ML frameworks. This project
        will include the application of HPC techniques, along with integration of
        search algorithms like reinforcement learning. MLIR aims to reduce the
        cost to bring up new hardware, and improve usability for existing
        TensorFlow users.

    - code_block: |
        <pre class = "prettyprint">
        // Syntactically similar to LLVM:

The `Workload` aims to represent everything about a workload (generally a `Pod` or `WorkloadEntry`).
This includes things like its IP address, identity, metadata (name, namespace, app, version, etc), and whether it has a waypoint proxy associated.

The `Service` aims to represent everything about a service (generally a `Service` or `ServiceEntry`).

    def functionalSourceSets = [asm:'**/*.s', c:'**/*.c', cpp:'**/*.cpp']

    @Override
    public List<SourceFile> getSourceFiles() {
        [sourceFile("c", "main.c", """
            #include <stdio.h>
            #include "hello.h"

            // Ensure consistent asm name mapping on all platforms
            #if !defined(_MSC_VER)
            extern void sayFooFromAsm() asm("_sayFooFromAsm");
            #endif