#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)
#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#

    <artifactId>maven</artifactId>
    <version>4.0.0-beta-6-SNAPSHOT</version>

    <relativePath>../../</relativePath>
  </parent>

  <artifactId>maven-builder-support</artifactId>

  <name>Maven Builder Support</name>
  <description>Support for descriptor builders (model, setting, toolchains)</description>

  <dependencies>
    <dependency>
      <groupId>org.junit.jupiter</groupId>

There were even some changes to Pydantic itself to support this.

The previous screenshots were taken with <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

But you would get the same editor support with <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> and most of the other Python editors:

* Passer la donnée reçue dans le paramètre `item`.
    * Ce paramètre ayant été déclaré dans la fonction comme étant de type `Item`, vous aurez aussi tout le support offert par l'éditeur (auto-complétion, etc.) pour tous les attributs de ce paramètre et les types de ces attributs.

# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

   * that it can be done securely, without vulnerability to race conditions (i.e. when the file
   * system does not support {@link SecureDirectoryStream}).
   *
   * <p><b>Warning:</b> On a file system that supports symbolic links, it is possible for an
   * insecure recursive delete to delete files and directories that are <i>outside</i> the directory

   * that it can be done securely, without vulnerability to race conditions (i.e. when the file
   * system does not support {@link SecureDirectoryStream}).
   *
   * <p><b>Warning:</b> On a file system that supports symbolic links, it is possible for an
   * insecure recursive delete to delete files and directories that are <i>outside</i> the directory

- **[Gradle Cookbook](https://cookbook.gradle.org/preface/)**: Access a practical collection of Gradle recipes and best practices to help you work efficiently with Gradle in various scenarios.

---

### 💬 **Community Support & Resources**

# Python Types Intro

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

import org.apache.maven.building.Source;

/**
 * Provides access to the contents of a POM independently of the backing store (e.g. file system, database, memory).
 * <p>
 * This interface does not support loading of parent POM(s) from the same backing store, integrators are strongly
 * encouraged to implement {@link ModelSource2} instead of implementing this interface directly.
 *
 * @see ModelSource2