3. This `yield from` tells the function to iterate over that thing named `file_like`. And then, for each part iterated, yield that part as coming from this generator function (`iterfile`).

    So, it is a generator function that transfers the "generating" work to something else internally.

    By doing it this way, we can put it in a `with` block, and that way, ensure that the file-like object is closed after finishing.

/// tip

import org.gradle.api.artifacts.transform.TransformAction
import org.gradle.api.artifacts.transform.TransformOutputs
import org.gradle.api.artifacts.transform.TransformParameters
import org.gradle.api.file.FileSystemLocation
import org.gradle.api.provider.Provider
import org.gradle.api.tasks.Input
import org.gradle.api.tasks.PathSensitive
import org.gradle.api.tasks.PathSensitivity
import java.io.BufferedOutputStream

import gradlebuild.binarycompatibility.BinaryCompatibilityHelper
import gradlebuild.binarycompatibility.CleanAcceptedApiChanges
import gradlebuild.binarycompatibility.transforms.ExplodeZipAndFindJars
import gradlebuild.binarycompatibility.transforms.FindGradleClasspath
import gradlebuild.binarycompatibility.transforms.FindGradleJars

plugins {
    id("gradlebuild.module-identity")
}

repositories {

 * limitations under the License.
 */
import gradlebuild.basics.classanalysis.Attributes.artifactType
import gradlebuild.basics.classanalysis.Attributes.minified
import gradlebuild.basics.transforms.Minify
import org.gradle.api.internal.attributes.AttributesFactory
import org.gradle.internal.component.external.model.DefaultModuleComponentSelector
import org.gradle.kotlin.dsl.support.serviceOf

/**

			if data == endOfRow {
				continue RowLoop
			}
			row[x] = data + bias(x, y)
		}
	}
</pre>

<h3 id="Goto_statements">Goto statements</h3>

<p>
A "goto" statement transfers control to the statement with the corresponding label
within the same function.
</p>

<pre class="ebnf">
GotoStmt = "goto" Label .
</pre>

<pre>
goto Error
</pre>

<p>

 * This class extends Thread and continuously processes access results from the crawler,
 * transforms them into indexed documents, and updates the OpenSearch index.
 *
 * <p>The updater performs the following key operations:
 * <ul>
 * <li>Retrieves crawled documents from the data service</li>
 * <li>Transforms document data using appropriate transformers</li>

import org.eclipse.aether.internal.impl.scope.ScopeManagerImpl;
import org.eclipse.aether.repository.LocalRepository;
import org.eclipse.aether.repository.RemoteRepository;
import org.eclipse.aether.transfer.TransferListener;
import org.junit.jupiter.api.BeforeEach;
import org.mockito.Mockito;

import static org.codehaus.plexus.testing.PlexusExtension.getTestFile;

@PlexusTest

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Lists.newArrayListWithExpectedSize;
import static com.google.common.collect.Lists.transform;
import static java.lang.Math.min;
import static java.util.concurrent.Executors.newFixedThreadPool;

import com.google.common.primitives.Ints;
import java.util.List;
import java.util.Random;

            // When flattening is disabled, treat non-POM projects like parent POMs
            // Apply only basic transformations without flattening dependency management
            // However, BOMs still need special handling to transform packaging from "bom" to "pom"
            if (isBom) {
                return buildBomWithoutFlatten(session, project, src);
            } else {
                return buildPom(session, project, src);
            }

iler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/compiler/mlir/tfrt/transforms/mlrt,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow...