* worst case time complexity of O(N^2). You are extremely unlikely to hit this quadratic case on
 * randomly ordered data (the probability decreases faster than exponentially in N), but if you are
 * passing in unsanitized user data then a malicious user could force it. A light shuffle of the
 * data using an unpredictable seed should normally be enough to thwart this attack.
 *

    return CollectSpliterators.indexed(size(), SPLITERATOR_CHARACTERISTICS, this::get);
  }

  @Override
  int copyIntoArray(@Nullable Object[] dst, int offset) {
    // this loop is faster for RandomAccess instances, which ImmutableLists are
    int size = size();
    for (int i = 0; i < size; i++) {
      dst[offset + i] = get(i);
    }
    return offset + size;
  }

  /**

            // Dependency excluded from import.
            List<org.apache.maven.api.model.Dependency> dependencies = importMgmt.getDependencies().stream()
                    .filter(candidate -> exclusions.stream().noneMatch(exclusion -> match(exclusion, candidate)))
                    .map(candidate -> addExclusions(candidate, exclusions))
                    .collect(Collectors.toList());

* GCE provider: Create TargetPool with 200 instances, then update with rest ([#27865](https://github.com/kubernetes/kubernetes/pull/27865), [@zmerlynn](https://github.com/zmerlynn))
* GCE provider: Limit Filter calls to regexps rather than large blobs ([#27741](https://github.com/kubernetes/kubernetes/pull/27741), [@zmerlynn](https://github.com/zmerlynn))

- Fixes a data race issue in the priority and fairness API server filter ([#100670](https://github.com/kubernetes/kubernetes/pull/100670), [@tkashem](https://github.com/tkashem)) [SIG API Machinery]

  2. PreScorePlugin: use NodeInfo in `PreScore`.
  3. Extender: use NodeInfo in `Filter` and `Prioritize`. ([#121954](https://github.com/kubernetes/kubernetes/pull/121954), [@AxeZhan](https://github.com/AxeZhan)) [SIG Autoscaling, Node, Scheduling, Storage and Testing]
- When PreFilterResult filters out some Nodes, the scheduling framework assumes them as rejected via `UnschedulableAndUnresolvable`, 

* fixes an error processing watch events when running skewed apiservers ([#73482](https://github.com/kubernetes/kubernetes/pull/73482), [@liggitt](https://github.com/liggitt))
* MAC Address filter has been fixed in vSphere Cloud Provider, it no longer ignores `00:1c:14` and `00:05:69` prefixes ([#73721](https://github.com/kubernetes/kubernetes/pull/73721), [@frapposelli](https://github.com/frapposelli))



# v1.13.3

Still, in both situations, chances are that **FastAPI** will [still be faster](index.md#performance){.internal-link target=_blank} than (or at least comparable to) your previous framework.

### Dependencies

- github.com/lestrrat-go/httpcc: [v1.0.1](https://github.com/lestrrat-go/httpcc/tree/v1.0.1)
- github.com/lestrrat-go/iter: [v1.0.2](https://github.com/lestrrat-go/iter/tree/v1.0.2)
- github.com/lestrrat-go/jwx: [v1.2.28](https://github.com/lestrrat-go/jwx/tree/v1.2.28)
- github.com/lestrrat-go/option: [v1.0.1](https://github.com/lestrrat-go/option/tree/v1.0.1)

Dann nimmt es 🤖 die erste erledigte Aufgabe (sagen wir, unsere „Langsam-Datei“ 📝) und bearbeitet sie weiter.