import com.google.common.escape.UnicodeEscaper;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for {@link PercentEscaper}.
 *
 * @author David Beaumont
 */
@GwtCompatible
@NullUnmarked
public class PercentEscaperTest extends TestCase {

  /** Tests that the simple escaper treats 0-9, a-z and A-Z as safe */
  public void testSimpleEscaper() {

import com.google.common.escape.UnicodeEscaper;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for {@link PercentEscaper}.
 *
 * @author David Beaumont
 */
@GwtCompatible
@NullUnmarked
public class PercentEscaperTest extends TestCase {

  /** Tests that the simple escaper treats 0-9, a-z and A-Z as safe */
  public void testSimpleEscaper() {

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                        mapEntry("c", (Collection<String>) ImmutableSortedSet.of("carl", "carol")),
                        mapEntry("d", (Collection<String>) ImmutableSortedSet.of("david", "dead")),
                        mapEntry(
                            "e", (Collection<String>) ImmutableSortedSet.of("eric", "elaine")));
                  }

                  @SuppressWarnings("unchecked")

        int pos = 0;
        boolean foundEnd = false;
        while (pos + 4 <= data.length) {
            final int avId = SMBUtil.readInt2(data, pos);
            final int avLen = SMBUtil.readInt2(data, pos + 2);
            pos += 4;

            if (avId == AvPair.MsvAvEOL) {
                if (avLen != 0) {
                    throw new CIFSException("Invalid avLen for AvEOL");
                }

import org.junit.jupiter.api.Test;

import jcifs.CIFSException;
import jcifs.internal.util.SMBUtil;

public class AvPairsTest {

    private byte[] createAvPairData(int avId, byte[] data) {
        byte[] result = new byte[4 + data.length];
        SMBUtil.writeInt2(avId, result, 0);
        SMBUtil.writeInt2(data.length, result, 2);
        System.arraycopy(data, 0, result, 4, data.length);
        return result;
    }

* 📝 Remove mention of Celery in the project generators. PR [#12742](https://github.com/fastapi/fastapi/pull/12742) by [@david-caro](https://github.com/david-caro).
* 📝 Update includes in `docs/en/docs/tutorial/header-param-models.md`. PR [#12814](https://github.com/fastapi/fastapi/pull/12814) by [@zhaohan-dong](https://github.com/zhaohan-dong).

Build And Host Fast Data Science Applications Using FastAPI - author: Navule Pavan Kumar Rao author_link: https://www.linkedin.com/in/navule/ link: https://www.tutlinks.com/deploy-fastapi-on-azure/ title: Deploy FastAPI on Azure App Service - author: Davide Fiocco author_link: https://github.com/davidefiocco link: https://davidefiocco.github.io/streamlit-fastapi-ml-serving/ title: Machine learning model serving in Python using FastAPI and streamlit - author: Netflix author_link: https://netflixtechblog.com/...