* syntax</a>. (Unlike here, there is no risk of overload ambiguity, since the {@code ArrayList}
   * constructors very wisely did not accept varargs.)
   *
   * @param initialArraySize the exact size of the initial backing array for the returned array list
   *     ({@code ArrayList} documentation calls this value the "capacity")

   * @throws NullPointerException if any of the provided keys is null
   * @throws IllegalArgumentException if {@code rowKeys} or {@code columnKeys} contains duplicates
   *     or if exactly one of {@code rowKeys} or {@code columnKeys} is empty.
   */
  public static <R, C, V> ArrayTable<R, C, V> create(
      Iterable<? extends R> rowKeys, Iterable<? extends C> columnKeys) {

    sampleInstances.putAll(checkNotNull(type), checkNotNull(instances));
  }

  /**
   * Returns a fresh instance for {@code type} if possible. The returned instance could be:
   *
   * <ul>
   *   <li>exactly of the given type, including generic type parameters, such as {@code
   *       ImmutableList<String>};
   *   <li>of the raw type;
   *   <li>null if no value can be generated.
   * </ul>
   */

            assertTrue(result.errorCount() > 0, "Downgrade should result in errors");
            assertFalse(result.success(), "Downgrade should not be successful");
            assertEquals(1, result.errorCount(), "Should have exactly one error");
        }

        @Test
        @DisplayName("should succeed when upgrading from 4.0.0 to 4.1.0")
        void shouldSucceedWhenUpgrading() throws Exception {
            String pomXml = """

}

// IsErrIgnored returns whether given error is ignored or not.
func IsErrIgnored(err error, ignoredErrs ...error) bool {
	return IsErr(err, ignoredErrs...)
}

// IsErr returns whether given error is exact error.
func IsErr(err error, errs ...error) bool {
	for _, exactErr := range errs {
		if errors.Is(err, exactErr) {
			return true
		}
	}
	return false
}

        name.srcHashCode = svr != null ? svr.hashCode() : 0;
        addr = getCachedAddress(name);

        if (addr == null) {
            addr = (NbtAddress) checkLookupTable(name);
            /* This is almost exactly like InetAddress.java. See the
             * comments there for a description of how the LOOKUP_TABLE prevents
             * redundant queries from going out on the wire.
             */
            if (addr == null) {

This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

   * equal to one another, despite the fact that they each contain precisely the same set of values.
   * Similarly, empty ranges are not equal unless they have exactly the same representation, so
   * {@code [3..3)}, {@code (3..3]}, {@code (4..4]} are all unequal.
   */
  @Override
  public boolean equals(@Nullable Object object) {
    if (object instanceof Range) {

labels.tooltip_logout=Déconnexion
labels.advance=Recherche avancée
labels.advance_search_title=Recherche avancée
labels.advance_search_must_queries=avec tous les mots
labels.advance_search_phrase_query=avec la phrase exacte
labels.advance_search_should_queries=avec au moins un des mots
labels.advance_search_not_queries=sans les mots
labels.advance_search_filetype=Type de fichier
labels.advance_search_filetype_default=Tout format

	var buf []byte
	if w.isZip64() {
		buf = make([]byte, dataDescriptor64Len)
	} else {
		buf = make([]byte, dataDescriptorLen)
	}
	b := writeBuf(buf)
	b.uint32(dataDescriptorSignature) // de-facto standard, required by OS X
	b.uint32(w.CRC32)
	if w.isZip64() {
		b.uint64(w.CompressedSize64)
		b.uint64(w.UncompressedSize64)
	} else {
		b.uint32(w.CompressedSize)
		b.uint32(w.UncompressedSize)
	}