import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Marker annotation attached to rule block closures at compile time to indicate they have been transformed.
 */
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.TYPE)
public @interface RulesBlock {

    /**
     * <p>Expands property references in each file as it is copied. More specifically, each file is transformed using
     * Groovy's {@link groovy.text.SimpleTemplateEngine}. This means you can use simple property references, such as
     * <code>$property</code> or <code>${property}</code> in the file. You can also include arbitrary Groovy code in the

        Model actual = transform(initial);
        assertTrue(equalsDeep(expected, actual));
    }

    Model transform(Model model) {
        Model transformed = model.clone();
        new BuildModelSourceTransformer().transform(pomFile, context, transformed);
        return transformed;
    }

    public static boolean equalsDeep(Object m1, Object m2) {
        try {
            if (m1 == m2) {
                return true;

    ImmutableAttributes getToAttributes();

    /**
     * Whether the transformer requires dependencies of the transformed artifact to be injected.
     */
    boolean requiresDependencies();

    /**
     * Whether the transformer requires {@link InputChanges} to be injected.
     */
    boolean requiresInputChanges();

    /**
     * Whether the transformer is cacheable.
     */
    boolean isCacheable();

import org.gradle.internal.HasInternalProtocol;

import java.io.File;

/**
 * The outputs of the artifact transform.
 *
 * <p>
 *     The registered output {@link File}s will appear in the transformed variant in the order they were registered.
 * </p>
 *
 * @since 5.3
 */
@HasInternalProtocol
public interface TransformOutputs {
    /**
     * Registers an output directory.
     *
     * <p>

        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        InputStream transformed = filterChain.transform(new ByteArrayInputStream(input.getBytes(charset.name())));
        // We read byte-by-byte to trigger edge cases in the downstream implementations.
        int read;
        while ((read = transformed.read()) != -1) {
            baos.write(read);
        }

        then:
        outputContains("files: [test-lib.jar, transformed-a1.jar, transformed-b2.jar, test-1.0.jar]")
        outputContains("components: [test-lib.jar, project :lib, project :ui, org:test:1.0]")
        outputContains("variants: [{artifactType=jar}, {artifactType=jar, buildType=debug, flavor=one, usage=transformed}, {artifactType=jar, usage=transformed}, {artifactType=jar, org.gradle.status=integration}]")
    }

dialect to their region-based counterparts, i.e., `tf.If` is transformed to
`tf.IfRegion` and `tf.While` is transformed to `tf.WhileRegion`.

For example, this functional operation

```mlir
  %0 = "tf.If"(%arg0, %arg1) {
    then_branch = @then_branch_func, else_branch = @else_branch_func, is_stateless = false
  } : (tensor<i1>, tensor<*xf32>) -> tensor<*xf32>
```

will be transformed into this region-based operation

```mlir

        super.writeRealisedConfigurationsData(encoder, transformed, deduplicationDependencyCache);
        if (transformed instanceof RealisedMavenModuleResolveMetadata) {
            writeDerivedVariants(encoder, (RealisedMavenModuleResolveMetadata) transformed, deduplicationDependencyCache);
        }
    }

  let description = [{
    This pass transforms functional control flow operations in the TensorFlow
    dialect to their region-based counterparts, i.e., `tf.If` is transformed to
    `tf.IfRegion` and `tf.While` is transformed to `tf.WhileRegion`.

    For example, this functional operation

    ```mlir
      %0 = "tf.If"(%arg0, %arg1) {