- github.com/go-logr/logr: [v1.2.0 → v1.2.3](https://github.com/go-logr/logr/compare/v1.2.0...v1.2.3)
- github.com/go-logr/zapr: [v1.2.0 → v1.2.3](https://github.com/go-logr/zapr/compare/v1.2.0...v1.2.3)
- github.com/golangplus/testing: [af21d9c → v1.0.0](https://github.com/golangplus/testing/compare/af21d9c...v1.0.0)
- github.com/google/cadvisor: [v0.44.1 → v0.45.0](https://github.com/google/cadvisor/compare/v0.44.1...v0.45.0)

		})
	})
}

func fileEntryCompare(x, y string) int {
	xdir, xelem, _ := split(x)
	ydir, yelem, _ := split(y)
	if xdir != ydir {
		return strings.Compare(xdir, ydir)
	}
	return strings.Compare(xelem, yelem)
}

// Open opens the named file in the ZIP archive,
// using the semantics of fs.FS.Open:
// paths are always slash separated, with no
// leading / or ../ elements.

#### Corrija com o `secrets.compare_digest()`

Mas em nosso código já estamos utilizando o `secrets.compare_digest()`.

Resumindo, levará o mesmo tempo para comparar `stanleyjobsox` com `stanleyjobson` do que comparar `johndoe` com `stanleyjobson`. E o mesmo para a senha.

Deste modo, ao utilizar `secrets.compare_digest()` no código de sua aplicação, ela estará a salvo contra toda essa gama de ataques de segurança.

            ArtifactVersion v2 = new DefaultArtifactVersion(e2.getVersion());

            if (newerFirst) {
                return v1.compareTo(v2) > 0 ? e1 : e2;
            }

            return v1.compareTo(v2) > 0 ? e2 : e1;
        }

        if (closerFirst) {
            return depth1 < depth2 ? e1 : e2;
        }

        return depth1 < depth2 ? e2 : e1;
    }

    if (index >= 0) {
      return inclusive ? index : index + 1;
    } else {
      return ~index;
    }
  }

  // Pretend the comparator can compare anything. If it turns out it can't
  // compare two elements, it'll throw a CCE. Only methods that are specified to
  // throw CCE should call this.
  @SuppressWarnings("unchecked")
  Comparator<Object> unsafeComparator() {

Puedes combinar *operaciones de path* regulares de la library de FastAPI con GraphQL en la misma aplicación.

/// tip | Consejo

**GraphQL** resuelve algunos casos de uso específicos.

Tiene **ventajas** y **desventajas** cuando lo comparas con **APIs web** comunes.

Asegúrate de evaluar si los **beneficios** para tu caso de uso compensan las **desventajas.** 🤓

///

## Librerías GraphQL

You can combine normal FastAPI *path operations* with GraphQL on the same application.

/// tip

**GraphQL** solves some very specific use cases.

It has **advantages** and **disadvantages** when compared to common **web APIs**.

Make sure you evaluate if the **benefits** for your use case compensate the **drawbacks**. 🤓

///

## GraphQL Libraries

    BigInteger min = BigInteger.ZERO;
    BigInteger max = UnsignedLong.MAX_VALUE.bigIntegerValue();
    for (BigInteger big : TEST_BIG_INTEGERS) {
      boolean expectSuccess = big.compareTo(min) >= 0 && big.compareTo(max) <= 0;
      try {
        assertThat(UnsignedLong.valueOf(big).bigIntegerValue()).isEqualTo(big);
        assertThat(expectSuccess).isTrue();
      } catch (IllegalArgumentException e) {

import java.util.Comparator;
import java.util.PriorityQueue;
import java.util.Queue;
import java.util.Random;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Benchmarks to compare performance of MinMaxPriorityQueue and PriorityQueue.
 *
 * @author Sverre Sundsdal
 */
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;

	}

	var results []result
	DB.Table("users").Select("name, age").Where("id in ?", []uint{user2.ID, user3.ID}).Scan(&results)

	sort.Slice(results, func(i, j int) bool {
		return strings.Compare(results[i].Name, results[j].Name) <= -1
	})

	if len(results) != 2 || results[0].Name != user2.Name || results[1].Name != user3.Name {
		t.Errorf("Scan into struct map, got %#v", results)
	}

	type ID uint64