assert Hashing.sha1().hashFile(artifact.file) == file.sha1
                    if (checkExtraChecksums && (!artifact.file.name in missingExtra)) {
                        assert Hashing.sha256().hashFile(artifact.file) == file.sha256
                        assert Hashing.sha512().hashFile(artifact.file) == file.sha512
                    }
                    assert Hashing.md5(). hashFile(artifact.file) == file.md5

## 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

            publishChecksum(destination, content, Hashing.sha1());
            publishChecksum(destination, content, Hashing.md5());
            if (!ExternalResourceResolver.disableExtraChecksums()) {
                publishPossiblyUnsupportedChecksum(destination, content, Hashing.sha256());
                publishPossiblyUnsupportedChecksum(destination, content, Hashing.sha512());
            }
        }

# OAuth2 mit Password (und Hashing), Bearer mit JWT-Tokens

Da wir nun über den gesamten Sicherheitsablauf verfügen, machen wir die Anwendung tatsächlich sicher, indem wir <abbr title="JSON Web Tokens">JWT</abbr>-Tokens und sicheres Passwort-Hashing verwenden.

Diesen Code können Sie tatsächlich in Ihrer Anwendung verwenden, die Passwort-Hashes in Ihrer Datenbank speichern, usw.

Wir bauen auf dem vorherigen Kapitel auf.

## Über JWT

import org.gradle.internal.fingerprint.FingerprintHashingStrategy;
import org.gradle.internal.fingerprint.LineEndingSensitivity;
import org.gradle.internal.fingerprint.hashing.RegularFileSnapshotContext;
import org.gradle.internal.fingerprint.hashing.ResourceHasher;
import org.gradle.internal.fingerprint.impl.AbstractFingerprintingStrategy;
import org.gradle.internal.fingerprint.impl.DefaultFileSystemLocationFingerprint;

      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 {

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.

		}
		w.typ(t.elem)
		if parens {
			w.byte(')')
		}

	case *Named:
		// If hashing, write a unique prefix for t to represent its identity, since
		// named type identity is pointer identity.
		if w.ctxt != nil {
			w.string(strconv.Itoa(w.ctxt.getID(t)))
		}
		w.typeName(t.obj) // when hashing written for readability of the hash only
		if t.inst != nil {
			// instantiated type

		}
		w.typ(t.elem)
		if parens {
			w.byte(')')
		}

	case *Named:
		// If hashing, write a unique prefix for t to represent its identity, since
		// named type identity is pointer identity.
		if w.ctxt != nil {
			w.string(strconv.Itoa(w.ctxt.getID(t)))
		}
		w.typeName(t.obj) // when hashing written for readability of the hash only
		if t.inst != nil {
			// instantiated type

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.