* than a one-character array containing the character itself. This enables the escaping algorithm
   * to perform more efficiently.
   *
   * <p>An escaper is expected to be able to deal with any {@code char} value, so this method should
   * not throw any exceptions.
   *
   * @param c the character to escape if necessary
   * @return the replacement characters, or {@code null} if no escaping was needed
   */

The key factor is that a dependency should be a "callable".

A "**callable**" in Python is anything that Python can "call" like a function.

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")

    for prod and one for tests. However, unlike our other packages, as of this
    writing it has test supersource but no prod supersource.

    GWT happens to use the prod .gwt.xml, so it looks for no supersource for
    tests, either. This causes it to fail to find AtomicLongMapTest.

    Our workaround is to tell GWT that util.concurrent and all other packages

    for prod and one for tests. However, unlike our other packages, as of this
    writing it has test supersource but no prod supersource.

    GWT happens to use the prod .gwt.xml, so it looks for no supersource for
    tests, either. This causes it to fail to find AtomicLongMapTest.

    Our workaround is to tell GWT that util.concurrent and all other packages

storage by _(newly_added_servers\*m)_ more drives, taking the total count to _(existing_servers\*m)+(newly_added_servers\*m)_ drives. New object upload requests automatically start using the least used cluster. This expansion strategy works endlessly, so you can perpetually expand your clusters as needed.  When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a pool. There are 2 server pools in this example. New objects are placed...

      private val source: BufferedSource = source.buffer()

      // Visible for testing.
      @JvmField var dynamicTable = arrayOfNulls<Header>(8)

      // Array is populated back to front, so new entries always have lowest index.
      private var nextHeaderIndex = dynamicTable.size - 1

      @JvmField var headerCount = 0

      @JvmField var dynamicTableByteCount = 0

import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import org.jspecify.annotations.Nullable;

/** Methods factored out so that they can be emulated differently in GWT. */
final class Platform {
  static boolean isInstanceOfThrowableClass(Throwable t, Class<? extends Throwable> expectedClass) {
    /*

## Monitoring MinIO in Kubernetes

MinIO server exposes un-authenticated liveness endpoints so Kubernetes can natively identify unhealthy MinIO containers. MinIO also exposes Prometheus compatible data on a different endpoint to enable Prometheus users to natively monitor their MinIO deployments.

## Explore Further

- [ ] Check ["Allow edit from maintainers" option](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) in pull request so that additional changes can be pushed by Gradle team.
- [ ] Provide integration tests (under `<subproject>/src/integTest`) to verify changes from a user perspective.
- [ ] Provide unit tests (under `<subproject>/src/test`) to verify logic.

For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.