bazel_dep(name = "libpng", version = "1.6.50.bcr.1", repo_name = "png")
bazel_dep(name = "boringssl", version = "0.20250818.0")
bazel_dep(name = "highway", version = "1.3.0", repo_name = "com_google_highway")
single_version_override(
    module_name = "highway",
    patch_strip = 1,
    patches = [
        "//third_party/com_google_highway:build.patch",
    ],
)

---

"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

You can build your own connection spec with a custom set of TLS versions and cipher suites. For example, this configuration is limited to three highly-regarded cipher suites. Its drawback is that it requires Android 5.0+ and a similarly current webserver.

```java
ConnectionSpec spec = new ConnectionSpec.Builder(ConnectionSpec.MODERN_TLS)
    .tlsVersions(TlsVersion.TLS_1_2)

        : new TreeMultiset<E>(comparator);
  }

  /**
   * Creates an empty multiset containing the given initial elements, sorted according to the
   * elements' natural order.
   *
   * <p>This implementation is highly efficient when {@code elements} is itself a {@link Multiset}.
   *
   * <p>The type specification is {@code <E extends Comparable>}, instead of the more specific

   *
   * <p>The benefits of creating our own queue are that (1) we can replace elements in the middle of
   * the queue as part of copyWriteEntry, and (2) the contains method is highly optimized for the
   * current model.
   */
  static final class WriteQueue<K, V> extends AbstractQueue<ReferenceEntry<K, V>> {
    final ReferenceEntry<K, V> head =
        new AbstractReferenceEntry<K, V>() {

        `tf.keras.optimizers.legacy.Adam`).
    *   **TF1 compatibility.** The new optimizer does not support TF1 any more,
        so please use the legacy optimizer `tf.keras.optimizer.legacy.XXX`.
        We highly recommend to migrate your workflow to TF2 for stable
        support and new features.
    *   **API not found.** The new optimizer has a different set of public APIs