</div>

Il effectuera également un tri automatique de touts vos imports.

Pour qu'il puisse les trier correctement, vous devez avoir FastAPI installé localement dans votre environnement, avec la commande dans la section ci-dessus en utilisant `--symlink` (ou `--pth-file` sous Windows).

### Formatage des imports

Il existe un autre script qui permet de formater touts les imports et de s'assurer que vous n'avez pas d'imports inutilisés :

    ImmutableNetwork.Builder<String, Integer> immutableNetworkBuilder =
        networkBuilder.<String, Integer>immutable();

    // Update NetworkBuilder, but this shouldn't impact immutableNetworkBuilder
    networkBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableNetwork<String, Integer> emptyNetwork = immutableNetworkBuilder.build();

        DefaultModelBuildingRequest request = new DefaultModelBuildingRequest();
        request.setModelSource(new FileModelSource(new File(
                getClass().getResource("/poms/depmgmt/root-two-imports.xml").getFile())));
        request.setModelResolver(new BaseModelResolver() {
            public ModelSource resolveModel(org.apache.maven.model.Dependency dependency)
                    throws UnresolvableModelException {

  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = RANDOM_SOURCE.nextLong();
    if (dividend == -1) {
      return r;
    } else {

    ImmutableValueGraph.Builder<String, Integer> immutableValueGraphBuilder =
        graphBuilder.<String, Integer>immutable();

    // Update ValueGraphBuilder, but this shouldn't impact immutableValueGraphBuilder
    graphBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableValueGraph<String, Integer> emptyGraph = immutableValueGraphBuilder.build();

   * @deprecated Prefer {@code asCharSource(file, charset).read()}.
   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asCharSource(file, charset).read()",
      imports = "com.google.common.io.Files")
  public static String toString(File file, Charset charset) throws IOException {
    return asCharSource(file, charset).read();
  }

  /**

    ImmutableValueGraph.Builder<String, Integer> immutableValueGraphBuilder =
        graphBuilder.<String, Integer>immutable();

    // Update ValueGraphBuilder, but this shouldn't impact immutableValueGraphBuilder
    graphBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableValueGraph<String, Integer> emptyGraph = immutableValueGraphBuilder.build();

        // These are part of the API, but not the DSL
        excludedPackages.add("org.gradle.tooling.**");
        excludedPackages.add("org.gradle.testfixtures.**");

        // Tweak the imports due to some inconsistencies introduced before we automated the default-imports generation
        excludedPackages.add("org.gradle.plugins.ide.eclipse.model");
        excludedPackages.add("org.gradle.plugins.ide.idea.model");

  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = RANDOM_SOURCE.nextLong();
    if (dividend == -1) {
      return r;
    } else {

from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They
# must come from this module. So python adds these symbols for the
# resolution to succeed.
# pylint: disable=undefined-variable
del python
del core