///

## Password hashing

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

Whenever you pass exactly the same content (exactly the same password) you get exactly the same gibberish.

But you cannot convert from the gibberish back to the password.

### Why use password hashing

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.

 * 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
 */

      V value = entry.getValue();
      checkEntryNotNull(key, value);
      int keyHash = key.hashCode();
      int valueHash = value.hashCode();
      int keyBucket = Hashing.smear(keyHash) & mask;
      int valueBucket = Hashing.smear(valueHash) & mask;

      ImmutableMapEntry<K, V> nextInKeyBucket = keyTable[keyBucket];
      ImmutableMapEntry<K, V> nextInValueBucket = valueTable[valueBucket];
      try {

      this.key = key;
      this.firstEntry = this;
      this.lastEntry = this;
      // Round expected values up to a power of 2 to get the table size.
      int tableSize = Hashing.closedTableSize(expectedValues, VALUE_SET_LOAD_FACTOR);

      @SuppressWarnings({"rawtypes", "unchecked"})
      @Nullable
      ValueEntry<K, V>[] hashTable = new @Nullable ValueEntry[tableSize];

    String init = "d41d8cd98f00b204e9800998ecf8427e";
    assertEquals(init, Hashing.md5().newHasher().hash().toString());

    String asciiHash = "e5df5a39f2b8cb71b24e1d8038f93131";
    assertEquals(asciiHash, Files.hash(asciiFile, Hashing.md5()).toString());

    String i18nHash = "7fa826962ce2079c8334cd4ebf33aea4";
    assertEquals(i18nHash, Files.hash(i18nFile, Hashing.md5()).toString());
  }

  public void testMap() throws IOException {

// KafkaSHA256 is a function that returns a crypto/sha256 hasher and should be used
// to create Client objects configured for SHA-256 hashing.
var KafkaSHA256 scram.HashGeneratorFcn = sha256.New

// KafkaSHA512 is a function that returns a crypto/sha512 hasher and should be used
// to create Client objects configured for SHA-512 hashing.
var KafkaSHA512 scram.HashGeneratorFcn = sha512.New

// XDGSCRAMClient implements the client-side of an authentication

   */
  static int tableSize(int expectedSize) {
    // We use entries next == 0 to indicate UNSET, so actual capacity is 1 less than requested.
    return max(MIN_HASH_TABLE_SIZE, Hashing.closedTableSize(expectedSize + 1, 1.0));
  }

  /** Creates and returns a properly-sized array with the given number of buckets. */
  static Object createTable(int buckets) {
    if (buckets < 2

              }
            });

    assertExpectedBytes(readBytes);
  }

  public void testHash() throws IOException {
    HashCode expectedHash = Hashing.md5().hashBytes(expected);
    assertEquals(expectedHash, source.hash(Hashing.md5()));
  }

  public void testSlice_illegalArguments() {
    assertThrows(
        "expected IllegalArgumentException for call to slice with offset -1: " + source,