Collection<Profile> profiles, ProfileActivationContext context, ModelProblemCollector problems) {
        Collection<String> activatedIds = new HashSet<>(context.getActiveProfileIds());
        Collection<String> deactivatedIds = new HashSet<>(context.getInactiveProfileIds());

        List<Profile> activeProfiles = new ArrayList<>(profiles.size());
        List<Profile> activePomProfilesByDefault = new ArrayList<>();

 * average, in the marking phase, not {@code 5.0} as in {@code java.util.HashSet}.
 *
 * <p>If there are no removals, then {@link #iterator iteration} order is the same as insertion
 * order. Any removal invalidates any ordering guarantees.
 *
 * <p>This class should not be assumed to be universally superior to {@code java.util.HashSet}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of

 * under the License.
 */
package org.apache.maven.model.building;

import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Set;

/**
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead

   * double the index of the entry in entrySet.asList.)
   *
   * The basic data structure is described in https://en.wikipedia.org/wiki/Open_addressing.
   * The pointer to a key is stored in hashTable[Hashing.smear(key.hashCode()) % table.length],
   * save that if that location is already full, we try the next index, and the next, until we
   * find an empty table position.  Since the table has a power-of-two size, we use

 * the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.ChecksumType.ADLER_32;
import static com.google.common.hash.Hashing.ChecksumType.CRC_32;

import java.util.zip.Checksum;
import junit.framework.TestCase;

/**
 * Tests for ChecksumHashFunction.
 *
 * @author Colin Decker
 */

Let's put that data in the Pydantic `UserInDB` model first.

You should never save plaintext passwords, so, we'll use the (fake) password hashing system.

If the passwords don't match, we return the same error.

#### Password hashing

"Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

Sie sollten niemals Klartext-Passwörter speichern, daher verwenden wir ein (gefaktes) Passwort-Hashing-System.

Wenn die Passwörter nicht übereinstimmen, geben wir denselben Fehler zurück.

#### Passwort-Hashing

„Hashing“ bedeutet: Konvertieren eines Inhalts (in diesem Fall eines Passworts) in eine Folge von Bytes (ein schlichter String), die wie Kauderwelsch aussieht.

  public static <E extends @Nullable Object> HashSet<E> newHashSet(Iterator<? extends E> elements) {
    HashSet<E> set = newHashSet();
    Iterators.addAll(set, elements);
    return set;
  }

  /**
   * Returns a new hash set using the smallest initial table size that can hold {@code expectedSize}
   * elements without resizing. Note that this is not what {@link HashSet#HashSet(int)} does, but it

        }
        if (!bits.get(combinedHash % bitSize)) {
          return false;
        }
      }
      return true;
    }
  },
  /**
   * This strategy uses all 128 bits of {@link Hashing#murmur3_128} when hashing. It looks different
   * from the implementation in MURMUR128_MITZ_32 because we're avoiding the multiplication in the
   * loop and doing a (much simpler) += hash2. We're also changing the index to a positive number by

import me.champeau.gradle.japicmp.report.PostProcessViolationsRule;
import me.champeau.gradle.japicmp.report.ViolationCheckContextWithViolations;
import org.gradle.util.internal.CollectionUtils;

import java.util.HashSet;
import java.util.Set;

public class AcceptedRegressionsRulePostProcess implements PostProcessViolationsRule {

    @Override
    @SuppressWarnings("unchecked")