Если вам это не знакомо, вы можете узнать про "хэш пароля" в [главах о безопасности](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

## Множественные модели

Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:

=== "Python 3.10+"

!!! danger
    Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

    If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

## Multiple models

Here's a general idea of how the models could look like with their password fields and the places where they are used:

=== "Python 3.10+"

- [`KT-61024`](https://youtrack.jetbrains.com/issue/KT-61024) Native: Mark the kotlin.native.CName annotation with ExperimentalNativeApi
- [`KT-61025`](https://youtrack.jetbrains.com/issue/KT-61025) Native: Deprecate HashSet.getElement() with WARNING
- [`KT-53791`](https://youtrack.jetbrains.com/issue/KT-53791) Publish standard library as a multiplatform artifact with Gradle metadata

    Für OAuth2 sind es einfach nur Strings.

## Gesamtübersicht

Sehen wir uns zunächst kurz die Teile an, die sich gegenüber den Beispielen im Haupt-**Tutorial – Benutzerhandbuch** für [OAuth2 mit Password (und Hashing), Bearer mit JWT-Tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank} ändern. Diesmal verwenden wir OAuth2-Scopes:

=== "Python 3.10+"

        multi-hot, or tf-idf encoded representations
    *   `CategoryCrossing`: create new categorical features representing
        co-occurrences of previous categorical feature values
    *   `Hashing`: the hashing trick, for large-vocabulary categorical features
    *   `Discretization`: turn continuous numerical features into categorical
        features by binning their values

## 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

      - 'platforms/core-execution/build-cache-packaging/'
      - 'platforms/core-runtime/build-operations/'
      - 'platforms/core-runtime/files/'
      - 'platforms/core-execution/hashing/'
      - 'platforms/core-execution/snapshots/'
  - build_infrastructure:
    name: 'build_infrastructure'
    subprojects:
      - '.teamcity/'
      - '.github/'
      - '/build-logic/'

Guava is a set of core Java libraries from Google that includes new collection
types (such as multimap and multiset), immutable collections, a graph library,
and utilities for concurrency, I/O, hashing, primitives, strings, and more! It
is widely used on most Java projects within Google, and widely used by many
other companies as well.



Guava comes in two flavors:

        "java.util.List" to "kotlin.collections.List",
        "java.util.ArrayList" to "kotlin.collections.ArrayList",
        "java.util.Set" to "kotlin.collections.Set",
        "java.util.HashSet" to "kotlin.collections.HashSet",
        "java.util.LinkedHashSet" to "kotlin.collections.LinkedHashSet",
        "java.util.Map" to "kotlin.collections.Map",
        "java.util.Map.Entry" to "kotlin.collections.Map.Entry",

* **Sicheres Passwort**-Hashing standardmäßig.
* **JWT-Token**-Authentifizierung.
* **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können).