};
    assertEquals(2, Iterables.size(iterable));
  }

  @SuppressWarnings("serial")
  public void testSize_collection_doesntIterate() {
    List<Integer> nums = asList(1, 2, 3, 4, 5);
    List<Integer> collection =
        new ArrayList<Integer>(nums) {
          @Override
          public Iterator<Integer> iterator() {
            throw new AssertionFailedError("Don't iterate me!");
          }
        };

        };
    assertEquals(2, Iterables.size(iterable));
  }

  @SuppressWarnings("serial")
  public void testSize_collection_doesntIterate() {
    List<Integer> nums = asList(1, 2, 3, 4, 5);
    List<Integer> collection =
        new ArrayList<Integer>(nums) {
          @Override
          public Iterator<Integer> iterator() {
            throw new AssertionFailedError("Don't iterate me!");
          }
        };

   *
   * <p>Lookups by row key are often faster than lookups by column key, because the data is stored
   * in a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still
   * runs quickly, since the row key is provided. However, {@code column(columnKey).size()} takes
   * longer, since an iteration across all row keys occurs.
   *

But then, when you open the integrated docs UI (the frontend), it would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`.

So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Here we create the tables on an application startup event.

For production you would probably use a migration script that runs before you start your app. 🤓

/// tip

    assertTrue(
        "BitArray.bitSize() must return a positive number, but was " + bitArray.bitSize(),
        bitArray.bitSize() > 0);

    // Ideally we would also test the bitSize() overflow of this BF, but it runs out of heap space
    // BloomFilter.create(Funnels.unencodedCharsFunnel(), 244412641, 1e-11);
  }

  /**
   * Asserts that {@link BloomFilter#approximateElementCount} is within 1 percent of the expected
   * value.

//
// Size parameter set to 0 makes cache of unlimited size, e.g. turns LRU mechanism off.
//
// Providing 0 TTL turns expiring off.
//
// Delete expired entries every 1/100th of ttl value. Goroutine which deletes expired entries runs indefinitely.
func NewLRU[K comparable, V any](size int, onEvict EvictCallback[K, V], ttl time.Duration) *LRU[K, V] {
	if size < 0 {
		size = 0
	}
	if ttl <= 0 {
		ttl = noEvictionTTL
	}

	res := LRU[K, V]{

labels.searchlog_log_type_user_info=Journal utilisateur
labels.searchlog_log_type_search_keyword=Nombre de mots clés
labels.searchlog_log_type_search_zerohit=Nombre de résultats nuls
labels.searchlog_log_type_search_zeroclick=Nombre de clics nuls
labels.searchlog_log_type_search_count_hour=Nombre de recherches/heure
labels.searchlog_log_type_search_count_day=Nombre de recherches/jour

 * subtype of {@code Network} that provides methods for adding and removing nodes and edges. If you
 * do not need to mutate a network (e.g. if you write a method than runs a read-only algorithm on
 * the network), you should use the non-mutating {@link Network} interface, or an {@link
 * ImmutableNetwork}.
 *
 * <p>You can create an immutable copy of an existing {@code Network} using {@link

    assertFailsWith<IOException> {
      call.execute()
    }.also { expected ->
      when (expected) {
        is SSLHandshakeException -> {
          // On Android, the handshake fails before the certificate pinner runs.
          assertThat(expected.message!!).contains("Could not validate certificate")
        }
        is SSLPeerUnverifiedException -> {
          // On OpenJDK, the handshake succeeds but the certificate pinner fails.