entries.add(entry(null, v3()));

    resetContainer(getSubjectGenerator().create(entries.toArray()));
    assertTrue(
        "A Map should equal any other Map containing the same entries,"
            + " even if some keys are null.",
        getMap().equals(newHashMap(entries)));
  }

  @CollectionSize.Require(absent = CollectionSize.ZERO)
  public void testEquals_otherContainsNullKey() {

 * which has a method {@code getChildren()} that retrieves its successors in a graph:
 *
 * {@snippet :
 * someGraphAlgorithm(startNode, MyNode::getChildren);
 * }
 *
 * <p>If you have some other mechanism for returning the successors of a node, or one that doesn't
 * return an {@code Iterable<? extends N>}, then you can use a lambda to perform a more general
 * transformation:
 *
 * {@snippet :

Now let's jump to the fun stuff. 🎉

## Add `Query` to `Annotated` in the `q` parameter { #add-query-to-annotated-in-the-q-parameter }

Now that we have this `Annotated` where we can put more information (in this case some additional validation), add `Query` inside of `Annotated`, and set the parameter `max_length` to `50`:

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[9] *}

labels.protocolScheme=Scheme
labels.purgeByBots=Purge Bots
labels.logLevel=Log Level
labels.purgeSearchLogDay=Purge Search Log
labels.query=Query
labels.queryId=Query ID
labels.rt=rt
labels.searchLog=Search Log
labels.sort=Sort
labels.start=Start
labels.loginRequired=Login Required
labels.loginLink=Show Login Link
labels.threadName=Thread Name
labels.url=URL
labels.userFavorite=Favorite Log
labels.userInfo=User Info

   *
   * @param array an array of {@code int} values, possibly empty
   * @param target a primitive {@code int} value
   * @return {@code true} if {@code array[i] == target} for some value of {@code i}
   */
  public static boolean contains(int[] array, int target) {
    for (int value : array) {
      if (value == target) {
        return true;
      }
    }
    return false;
  }

#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support
#      Ex. macos_arm64      -- arm64 MacOS platform
# 3. Add modifiers. Some modifiers for local execution are:
#      Ex. disk_cache -- Use a local cache
#      Ex. public_cache -- Use TF's public cache (read-only)
#      Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only)

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"sort"
	"time"

	"github.com/minio/madmin-go/v3"
)

// BucketTargetUsageInfo - bucket target usage info provides
// - replicated size for all objects sent to this target

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"runtime/debug"
	"sort"
	"strings"
	"time"
)

const (
	// deadline (in seconds) up to which the go routine leak detection has to be retried.
	leakDetectDeadline = 5

  * More expressive node affinity syntax, and support for “soft” node affinity.
Node selectors (to constrain pods to schedule on a subset of nodes) now support
the operators {<code>In, NotIn, Exists, DoesNotExist, Gt, Lt</code>}  instead of just conjunction of exact match on node label values. In
addition, we’ve introduced a new “soft” kind of node selector that is just a