same. We’ve chosen Kotlin because it gives us powerful new capabilities while integrating closely
with Java.

We spent a lot of time and energy on retaining strict compatibility with OkHttp 3.x. We’re even
keeping the package name the same: `okhttp3`!

There are three kinds of compatibility we’re tracking:

 * **Binary compatibility** is the ability to compile a program against OkHttp 3.x, and then to run

        table[tableIndex] = effectiveEntry;
      } else {
        // We already saw this key, and the first value we saw (going backwards) is the one we are
        // keeping. So we won't touch table[], but we do still want to add the existing entry that
        // we found to entries[] so that we will see this key in the right place when iterating.
        if (duplicates == null) {

     */
    private final Map<String, List<Method>> methodByNameMap = new Hashtable<>();

    /**
     * Add a method to a list of methods by name.
     * For a particular class we are keeping track
     * of all the methods with the same name.
     *
     * @param method The method
     */
    void add(Method method) {
        String methodName = method.getName();

    //                                                                           Attribute
    //                                                                           =========
    // keeping parsed request parameters, normal texts or uploaded files
    // keys are requested parameter names (treated as field name here)
    protected Map<String, Object> elementsAll; // lazy-loaded, then after not null

- Objects matching these prefixes will also not leave `null` delete markers, dramatically reduces namespace pollution while keeping the benefits of replication.
- Users with explicit permissions or the root credential can configure the versioning state of any bucket.

## Examples of enabling bucket versioning using MinIO Java SDK

# Bigger Applications - Multiple Files

If you are building an application or a web API, it's rarely the case that you can put everything in a single file.

**FastAPI** provides a convenience tool to structure your application while keeping all the flexibility.

/// info

If you come from Flask, this would be the equivalent of Flask's Blueprints.

///

## An example file structure

Let's say you have a file structure like this:

```
.

   * reconstructed using public factory methods. This ensures that the implementation types remain
   * as implementation details.
   *
   * <p>Since the bimap is immutable, ImmutableBiMap doesn't require special logic for keeping the
   * bimap and its inverse in sync during serialization, the way AbstractBiMap does.
   */
  @J2ktIncompatible // serialization
  private static class SerializedForm<K, V> extends ImmutableMap.SerializedForm<K, V> {

	opts.DeletePrefix = deletePrefix
	opts.Versioned = globalBucketVersioningSys.PrefixEnabled(bucket, object)
	// Objects matching prefixes should not leave delete markers,
	// dramatically reduces namespace pollution while keeping the
	// benefits of replication, make sure to apply version suspension
	// only at bucket level instead.
	opts.VersionSuspended = globalBucketVersioningSys.Suspended(bucket)

{* ../../docs_src/behind_a_proxy/tutorial001.py hl[6] *}

And the proxy would be **"stripping"** the **path prefix** on the fly before transmitting the request to the app server (probably Uvicorn via FastAPI CLI), keeping your application convinced that it is being served at `/app`, so that you don't have to update all your code to include the prefix `/api/v1`.

Up to here, everything would work as normally.

						analyzeTargetAsString(),
						parseErrors,
						fileOrFiles,
					)
				}
			}

			// Return code is based on the unfiltered validation message list/parse errors
			// We're intentionally keeping failure threshold and output threshold decoupled for now
			var returnError error
			if msgOutputFormat == formatting.LogFormat {
				returnError = errorIfMessagesExceedThreshold(result.Messages)