return obj, nil
		}), nil); err != nil {
		t.Fatalf("GuaranteedUpdate failed: %v", err)
	}

	// Now trigger watch error by injecting failing transformer.
	revertTransformer := store.UpdatePrefixTransformer(
		func(previousTransformer *PrefixTransformer) value.Transformer {
			return &failingTransformer{}
		})
	defer revertTransformer()

         </artifact>
      </component>
      <component group="com.android.tools.build" name="transform-api" version="2.0.0-deprecated-use-gradle-api">
         <artifact name="transform-api-2.0.0-deprecated-use-gradle-api.jar">
            <sha256 value="4de4a3d05e1c534c2db9e4588bf34082bb2bd232d8abb9727c430290ce225740" reason="Artifact is not signed"/>
         </artifact>

                               [Pure,
                                AttrSizedResultSegments,
                                AttrSizedOperandSegments]> {

  let summary =
    "Transforms a vector of tf.Example protos (as strings) into typed tensors.";

  let arguments = (ins
    TF_StrTensor:$serialized,
    TF_StrTensor:$names,
    Variadic<TF_StrTensor>:$sparse_keys,

		t.Run(tt.name, func(t *testing.T) {
			got := ApplyListenerPatches(tt.args.patchContext, tt.args.push.EnvoyFilters(tt.args.proxy),
				tt.args.listeners, tt.args.skipAdds)
			if diff := cmp.Diff(tt.want, got, protocmp.Transform()); diff != "" {
				t.Errorf("ApplyListenerPatches(): %s mismatch (-want +got):\n%s", tt.name, diff)
			}
		})
	}

* one takes a `{javaApi}/java/io/FilterReader.html[FilterReader]` and is designed to work with Ant filters, such as `ReplaceTokens`
* one takes a closure or link:{javadocPath}/org/gradle/api/Transformer.html[Transformer] that defines the transformation for each line of the source file

Note that both variants assume the source files are text-based.

			if err != nil && tc.result.err == nil || err == nil && tc.result.err != nil {
				t.Errorf("expecting:\n err=%v but got err=%v", tc.result.err, err)
			} else if diff := cmp.Diff(tc.result.tlsContext, ret, protocmp.Transform()); diff != "" {
				t.Errorf("got diff: `%v", diff)
			}
			if tc.enableAutoSni {
				if len(tc.tls.Sni) == 0 {
					assert.Equal(t, tc.opts.mutable.httpProtocolOptions.UpstreamHttpProtocolOptions.AutoSni, true)

 * submitting a task to a {@link ListeningExecutorService}, and deriving a {@code Future} from an
 * existing one, typically using methods like {@link Futures#transform(ListenableFuture,
 * com.google.common.base.Function, java.util.concurrent.Executor) Futures.transform} and {@link
 * Futures#catching(ListenableFuture, Class, com.google.common.base.Function,
 * java.util.concurrent.Executor) Futures.catching}.
 *

 * submitting a task to a {@link ListeningExecutorService}, and deriving a {@code Future} from an
 * existing one, typically using methods like {@link Futures#transform(ListenableFuture,
 * com.google.common.base.Function, java.util.concurrent.Executor) Futures.transform} and {@link
 * Futures#catching(ListenableFuture, Class, com.google.common.base.Function,
 * java.util.concurrent.Executor) Futures.catching}.
 *

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_structs.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/device_util.h"

  // Fuse select(broadcast_to(input, shape), x, y) -> selectV2(input, x, y)
  // Also, fuse selectv2(broadcast_to(input, shape), x, y) -> selectV2(input, x, y)
  // It is safe to perform this transform here because-
  // the shapes of `pre_broadcast` and `dim` must be broadcast
  // compatible for the `broadcast_to` op to be valid.
  // And considering, `shape(post_broadcast)` == `shape(%input1)`,