};

  private static final EntryTransformer<String, String, String> DECODE_ENTRY_TRANSFORMER =
      new EntryTransformer<String, String, String>() {
        @Override
        public String transformEntry(String key, String value) {
          return DECODE_FUNCTION.apply(value);
        }
      };

  static TestSuite transformSuite() {
    TestSuite suite = new TestSuite("Maps.transform");

#### A Random Item { #a-random-item }

With `data.items()` we get an <dfn title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</dfn> with tuples containing the key and value for each dictionary item.

We convert this iterable object into a proper `list` with `list(data.items())`.

* `Field(index=True)` informa ao SQLModel que ele deve criar um **índice SQL** para essa coluna, o que permitirá buscas mais rápidas no banco de dados ao ler dados filtrados por essa coluna.

The first change is that now we are declaring the OAuth2 security scheme with two available scopes, `me` and `items`.

The `scopes` parameter receives a `dict` with each scope as a key and the description as the value:

{* ../../docs_src/security/tutorial005_an_py310.py hl[63:66] *}

Because we are now declaring those scopes, they will show up in the API docs when you log-in/authorize.

			expectedErr: nil,
			expectErr:   false,
		},
		// invalid Status key
		{
			value:       `<?xml version="1.0" encoding="UTF-8"?><ObjectLockLegalHold xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><MyStatus>ON</MyStatus></ObjectLockLegalHold>`,

pkg os, func UserHomeDir() (string, error)
pkg os, method (*File) SyscallConn() (syscall.RawConn, error)
pkg os, method (*ProcessState) ExitCode() int
pkg os/exec, method (ExitError) ExitCode() int
pkg reflect, method (*MapIter) Key() Value
pkg reflect, method (*MapIter) Next() bool
pkg reflect, method (*MapIter) Value() Value
pkg reflect, method (Value) MapRange() *MapIter
pkg reflect, type MapIter struct

 * It interacts with the OpenSearch client to create, update, and delete analyzer settings, as well as to retrieve
 * analyzer names and mappings.
 *
 * <p>Key functionalities include:</p>
 * <ul>
 *   <li>Initializing analyzer settings and mappings.</li>
 *   <li>Retrieving analyzer names for different fields and languages.</li>
 *   <li>Updating and deleting analyzer settings.</li>

          if (!response.isSuccessful) throw IOException("Unexpected code $response")

          val gist = gistJsonAdapter.fromJson(response.body!!.source())

          for ((key, value) in gist!!.files!!) {
            println(key)
            println(value.content)
          }
        }
      }

      @JsonClass(generateAdapter = true)
      data class Gist(var files: Map<String, GistFile>?)

* kubectl create secret has a new option --from-env-file that populates a secret from file which follows a key=val format for each line.

        }
    }

    /**
     * Retrieves the tags for a storage object from the storage system.
     *
     * @param objectName the name of the object to get tags for
     * @return map of tag key-value pairs
     * @throws StorageException if retrieving tags fails
     */
    public static Map<String, String> getObjectTags(final String objectName) {