try {
        map = makePopulatedMap();
      } catch (UnsupportedOperationException e) {
        return;
      }
      final String keyToRemove = map.keySet().iterator().next();
      if (supportsRemove) {
        int initialSize = map.size();
        map.get(keyToRemove);
        map.remove(keyToRemove);
        // This line doesn't hold - see the Javadoc comments above.

      try {
        map = makePopulatedMap();
      } catch (UnsupportedOperationException e) {
        return;
      }
      final String keyToRemove = map.keySet().iterator().next();
      if (supportsRemove) {
        int initialSize = map.size();
        map.get(keyToRemove);
        map.remove(keyToRemove);
        // This line doesn't hold - see the Javadoc comments above.

```Python hl_lines="3" title="app/routers/items.py"
{!../../docs_src/bigger_applications/app/routers/items.py!}
```

#### How relative imports work

/// tip

If you know perfectly how imports work, continue to the next section below.

///

A single dot `.`, like in:

```Python
from .dependencies import get_token_header
```

would mean:

aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,

But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it.

That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.

	collectLocalResourceMetrics()

	for {
		select {
		case <-GlobalContext.Done():
			return
		case <-metricsTimer.C:
			collectLocalResourceMetrics()

			// Reset the timer for next cycle.
			metricsTimer.Reset(resourceMetricsCollectionInterval)
		}
	}
}

// minioResourceCollector is the Collector for resource metrics
type minioResourceCollector struct {

                @Override
                public @Nullable Void call() throws Exception {
                  barrier.await();
                  Integer first = graph.nodes().iterator().next();
                  for (Integer node : graph.nodes()) {
                    Set<Integer> unused = graph.successors(node);
                  }
                  /*

  public void testIn_compilesWithExplicitSupertype() {
    Collection<Number> nums = ImmutableSet.of();
    Predicate<Number> p1 = Predicates.in(nums);
    Predicate<Object> p2 = Predicates.<Object>in(nums);
    // The next two lines are not expected to compile.
    // Predicate<Integer> p3 = Predicates.in(nums);
    // Predicate<Integer> p4 = Predicates.<Integer>in(nums);
  }

  @J2ktIncompatible
  @GwtIncompatible // NullPointerTester

Note: `Full` only refers to whether a `PushContext` recomputation is needed. Even within a `Full` push, we keep track of which configuration updates triggered this, so we could have "Full update of Config X" or "Full update of all configs".

* `id`
* `name`
* `age`
* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:14] hl[12:14] *}

#### `HeroPublic` - the public *data model*

Next, we create a `HeroPublic` model, this is the one that will be **returned** to the clients of the API.

It has the same fields as `HeroBase`, so it won't include `secret_name`.