* Returns a newly-created immutable map, using the last value for any key that was added more
     * than once. The iteration order of the returned map is the order in which entries were
     * inserted into the builder, unless {@link #orderEntriesByValue} was called, in which case
     * entries are sorted by value. If a key was added more than once, it appears in iteration order

-e .
-r requirements-docs-tests.txt
pydantic-settings >=2.0.0
pytest >=7.1.3,<8.0.0
coverage[toml] >= 6.5.0,< 8.0
mypy ==1.8.0
ruff ==0.2.0
email_validator >=1.1.1,<3.0.0
dirty-equals ==0.6.0
# TODO: once removing databases from tutorial, upgrade SQLAlchemy
# probably when including SQLModel
sqlalchemy >=1.3.18,<1.4.43
databases[sqlite] >=0.3.2,<0.7.0
orjson >=3.2.1,<4.0.0
ujson >=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0

   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and
   * once after loading completes). Much internal cache management is performed at the segment

    return {"dep": dep}


@app.get("/indirectCookie")
def get_indirect_cookie(dep: str = Depends(set_indirect_cookie)):
    return {"dep": dep}


client = TestClient(app)


def test_cookie_is_set_once():
    direct_response = client.get("/directCookie")
    indirect_response = client.get("/indirectCookie")
    assert (
        direct_response.headers["set-cookie"] == indirect_response.headers["set-cookie"]

    assertEquals(10, (int) memoizedSupplier.get());

    // now it has
    assertEquals(1, countingSupplier.calls);

    assertEquals(10, (int) memoizedSupplier.get());

    // it still should only have executed once due to memoization
    assertEquals(1, countingSupplier.calls);
  }

  public void testMemoize() {
    memoizeTest(new CountingSupplier());
    memoizeTest(new SerializableCountingSupplier());
  }

    assertEquals(10, (int) memoizedSupplier.get());

    // now it has
    assertEquals(1, countingSupplier.calls);

    assertEquals(10, (int) memoizedSupplier.get());

    // it still should only have executed once due to memoization
    assertEquals(1, countingSupplier.calls);
  }

  public void testMemoize() {
    memoizeTest(new CountingSupplier());
    memoizeTest(new SerializableCountingSupplier());
  }

	// store to persist and replay the logs to the target
	// to avoid missing events when the target is down.
	store          store.Store[interface{}]
	storeCtxCancel context.CancelFunc

	initKafkaOnce      once.Init
	initQueueStoreOnce once.Init

	client   sarama.Client
	producer sarama.SyncProducer
	kconfig  Config
	config   *sarama.Config
}

func (h *Target) validate() error {
	if len(h.kconfig.Brokers) == 0 {

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

```Python hl_lines="13-14  25-26"
{!../../../docs_src/extending_openapi/tutorial001.py!}
```

### Override the method

  /*
   * TODO(b/242884182): Figure out why this helps produce the same class file when we compile most
   * of common.collect a second time with the results of the first compilation on the classpath. Or
   * just back this out once we stop doing that (which we'll do after our internal GWT setup
   * changes).
   */
  @Override
  public ImmutableMap<Object, Collection<Object>> asMap() {
    return super.asMap();
  }

import java.io.InputStream;
import java.io.OutputStream;
import javax.annotation.CheckForNull;

/**
 * An {@link OutputStream} that starts buffering to a byte array, but switches to file buffering
 * once the data reaches a configurable size.
 *
 * <p>When this stream creates a temporary file, it restricts the file's permissions to the current