);
    }

    @Test
    @DisplayName("readParameterWordsWireFormat with valid offset - correctly reads data")
    void testReadParameterWordsWithValidOffset() {
        byte[] buffer = new byte[] { 0x00, 0x00, // padding
                0x78, 0x56, 0x34, 0x12, // little-endian 0x12345678
                0x00, 0x00 // padding

            cb.fetchFirst(ComponentUtil.getFessConfig().getPageDocboostMaxFetchSizeAsInteger());
        });
    }

    /**
     * Deletes crawl data for the specified session ID.
     *
     * @param sid The session ID whose crawl data should be deleted
     */
    protected void deleteCrawlData(final String sid) {

        Fingerprint2011.murmurHash64WithSeed(bytes, 0, bytes.length, 1));
  }

  public void testPutNonChars() {
    Hasher hasher = HASH_FN.newHasher();
    // Expected data is 0x0100010100000000
    hasher
        .putBoolean(true)
        .putBoolean(true)
        .putBoolean(false)
        .putBoolean(true)
        .putBoolean(false)
        .putBoolean(false)

 * array contains information about special ASCII characters such as {@code \\t} and {@code \\n}
 * while {@link #escapeUnsafe} is overridden to handle general escaping of the form {@code \\uxxxx}.
 *
 * <p>The size of the data structure used by {@link ArrayBasedCharEscaper} is proportional to the
 * highest valued character that requires escaping. For example a replacement map containing the

#### Випадковий елемент

За допомогою `data.items()` ми отримуємо <abbr title="Об'єкт, який можна перебирати в циклі, як-от список чи множину.">ітерабельний об'єкт</abbr> із кортежами, що містять ключ і значення для кожного елемента словника.

Ми перетворюємо цей ітерабельний об'єкт у звичайний `list` за допомогою `list(data.items())`.

   * returns an {@code ImmutableSortedMultiset<Multiset<String>>} containing one element (the given
   * multiset itself).
   *
   * <p>Despite the method name, this method attempts to avoid actually copying the data when it is
   * safe to do so. The exact circumstances under which a copy will or will not be performed are
   * undocumented and subject to change.
   *

pkg syscall (openbsd-386), const TIOCGTSTAMP = 1074295899
pkg syscall (openbsd-386), type Dirent struct, Fileno uint32
pkg syscall (openbsd-386), type FdSet struct, Bits [32]int32
pkg syscall (openbsd-386), type Kevent_t struct, Data int32
pkg syscall (openbsd-386), type Mclpool struct, Grown uint32
pkg syscall (openbsd-386), type RtMetrics struct, Expire uint32
pkg syscall (openbsd-386), type Stat_t struct, Ino uint32

    unar "libstdc++6_4.8.1-10ubuntu8_arm64.deb" && \
    tar -C "${TARGET}" -xvzf "libstdc++6_4.8.1-10ubuntu8_arm64/data.tar.gz" "./usr/lib/aarch64-linux-gnu/libstdc++.so.6.0.18"  && \
    rm -rf "libstdc++6_4.8.1-10ubuntu8_arm64.deb" "libstdc++6_4.8.1-10ubuntu8_arm64"

mkdir -p "${TARGET}-src"
cd "${TARGET}-src"

    }

    /**
     * Downloads stopwords dictionary file.
     *
     * @param dictId the dictionary ID
     * @param body the download request body
     * @return stream response containing the dictionary file data
     */
    // GET /api/admin/dict/stopwords/download/{dictId}
    @Execute
    public StreamResponse get$download(final String dictId, final DownloadBody body) {
        body.dictId = dictId;

Ça, ajouté au fait que Python soit le langage le plus populaire pour la **Data Science**, le **Machine Learning** et surtout le **Deep Learning**, font de **FastAPI** un très bon choix pour les APIs et applications de **Data Science** / **Machine Learning**.