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 { #password-hashing }

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

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 { #password-hashing }

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

///

## Password hashing { #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 { #why-use-password-hashing }

        }
        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

Nunca deberías guardar passwords en texto plano, así que, usaremos el sistema de hash de passwords (falso).

Si los passwords no coinciden, devolvemos el mismo error.

#### Hashing de passwords { #password-hashing }

"Hacer hash" significa: convertir algún contenido (un password en este caso) en una secuencia de bytes (solo un string) que parece un galimatías.

      Segment<Object, Object, ?, ?> segment = map.segments[0];

      Object keyOne = new Object();
      Object valueOne = new Object();
      int hashOne = map.hash(keyOne);
      InternalEntry<Object, Object, ?> entryOne = segment.newEntryForTesting(keyOne, hashOne, null);
      WeakValueReference<Object, Object, ?> valueRefOne =
          segment.newWeakValueReferenceForTesting(entryOne, valueOne);

      Segment<Object, Object, ?, ?> segment = map.segments[0];

      Object keyOne = new Object();
      Object valueOne = new Object();
      int hashOne = map.hash(keyOne);
      InternalEntry<Object, Object, ?> entryOne = segment.newEntryForTesting(keyOne, hashOne, null);
      WeakValueReference<Object, Object, ?> valueRefOne =
          segment.newWeakValueReferenceForTesting(entryOne, valueOne);

// 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

		{"SHØRT", 49},
		{"There are far too many object names, and far too few bucket names!", 8},
		{"a/b/c/", 159},
		{"/a/b/c", 96},
		{string([]byte{0xff, 0xfe, 0xfd}), 147},
	}

	// Tests hashing order to be consistent.
	for i, testCase := range testCases {
		if sipHashElement := hashKey("SIPMOD", testCase.objectName, 200, testUUID); sipHashElement != testCase.sipHash {

/* HMACT64 keyed hashing algorithm
 * Copyright (C) 2003 "Eric Glass" <jcifs at samba dot org>
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful,