t.Skip()
	}

	type Thing struct {
		gorm.Model
		SomeID  string
		OtherID string
		Data    string
	}

	DB.Migrator().DropTable(&Thing{})
	DB.Migrator().CreateTable(&Thing{})
	if err := DB.Exec("ALTER TABLE things ADD CONSTRAINT some_id_other_id_unique UNIQUE (some_id, other_id)").Error; err != nil {
		t.Error(err)
	}

	thing := Thing{
		SomeID:  "1234",
		OtherID: "1234",

package org.apache.maven.api;

import java.time.Clock;
import java.time.Duration;
import java.time.Instant;
import java.time.ZoneId;
import java.time.ZoneOffset;

/**
 * A Clock implementation that combines monotonic timing with wall-clock time.
 * <p>
 * This class provides precise time measurements using {@link System#nanoTime()}
 * while maintaining wall-clock time information in UTC. The wall-clock time

    private static final SecurityAuditLogger auditLogger = SecurityAuditLogger.getInstance();

    /**
     * Performs constant-time comparison of two char arrays to prevent timing attacks.
     * This method always compares the full length of both arrays, regardless of when
     * differences are found, making the execution time independent of the position
     * of differing characters.
     *

    # Return some error
    ...
```

Pero al usar `secrets.compare_digest()` será seguro contra un tipo de ataques llamados "timing attacks".

### Timing Attacks

¿Pero qué es un "timing attack"?

Imaginemos que algunos atacantes están tratando de adivinar el nombre de usuario y la contraseña.

Y envían un request con un nombre de usuario `johndoe` y una contraseña `love123`.

    # Einen Error zurückgeben
    ...
```

Aber durch die Verwendung von `secrets.compare_digest()` ist dieser Code sicher vor einer Art von Angriffen, die „Timing-Angriffe“ genannt werden.

### Timing-Angriffe

Aber was ist ein „Timing-Angriff“?

Stellen wir uns vor, dass einige Angreifer versuchen, den Benutzernamen und das Passwort zu erraten.

# limitations under the License.
# ==============================================================================
source "${BASH_SOURCE%/*}/utilities/setup.sh"

- Async handling of lease breaks

### 9.3 Network Efficiency
- Batch lease requests when possible
- Implement lease key reuse for related files
- Optimize lease break acknowledgment timing

## 10. Error Handling

### 10.1 Lease Break Timeout
```java
public void handleLeaseBreakWithTimeout(Smb2LeaseKey key, int newState) {
    CompletableFuture<Void> future = CompletableFuture.runAsync(() -> {

    assertThat(startupTimes.get(a)).isAtLeast(150);
    // Service b startup takes at least 353 millis, but starting the timer is delayed by at least
    // 150 milliseconds. so in a perfect world the timing would be 353-150=203ms, but since either
    // of our sleep calls can be arbitrarily delayed we should just assert that there is a time
    // recorded.
    assertThat(startupTimes.get(b)).isNotNull();
  }

name: Feature request
description: File a proposal for new feature, improvement
labels: ["enhancement"]

body:
  - type: markdown
    attributes:
      value: |
        Thanks for taking the time to fill out this new feature, improvement proposal.

  - type: textarea
    id: message
    attributes:
      label: New feature, improvement proposal
    validations:

- `tuned`
- `curl`

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

#### Step 2 - install tuned.conf as supported performance profile on all nodes
```
sudo mkdir -p /usr/lib/tuned/minio/
sudo mv tuned.conf /usr/lib/tuned/minio
```