.testEquals();
  }

  private interface Loser<E extends Throwable> {
    void lose() throws E;
  }

  public <T extends Loser<AssertionError>> void testMethod_exceptionTypes()
      throws NoSuchMethodException {
    Method failMethod = Loser.class.getMethod("lose");
    Invokable<T, ?> invokable = new TypeToken<T>(getClass()) {}.method(failMethod);

        .testEquals();
  }

  private interface Loser<E extends Throwable> {
    void lose() throws E;
  }

  public <T extends Loser<AssertionError>> void testMethod_exceptionTypes()
      throws NoSuchMethodException {
    Method failMethod = Loser.class.getMethod("lose");
    Invokable<T, ?> invokable = new TypeToken<T>(getClass()) {}.method(failMethod);

 * asynchronous operations. You can chain them together manually with calls to methods like {@link
 * Futures#transform(ListenableFuture, Function, Executor) Futures.transform}, but you will often
 * find it easier to use a framework. Frameworks automate the process, often adding features like
 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>

     * changing any bin. The operations must not take any action that could even momentarily
     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements

        ":with_tpu_support_define",
        ":with_tpu_support_flag",
    ],
    visibility = ["//visibility:public"],
)

# Specifies via a config setting if this is a mobile build or not, makes
# it easier to combine settings later.
selects.config_setting_group(
    name = "mobile",
    match_any = [
        ":android",
        ":chromiumos",

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