public <T> void testCaptureTypeParameter() throws Exception {
    TypeVariable<?> variable = new TypeParameter<T>() {}.typeVariable;
    TypeVariable<?> expected =
        TypeParameterTest.class.getDeclaredMethod("testCaptureTypeParameter")
            .getTypeParameters()[0];
    assertEquals(expected, variable);
  }

  public void testConcreteTypeRejected() {

import static com.google.common.base.Preconditions.checkArgument;

import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;
import javax.annotation.CheckForNull;

/**
 * Captures a free type variable that can be used in {@link TypeToken#where}. For example:
 *
 * <pre>{@code
 * static <T> TypeToken<List<T>> listOf(Class<T> elementType) {
 *   return new TypeToken<List<T>>() {}

#### Pour davantage de détails

Imaginons que votre fichier s'appelle `myapp.py`.

Si vous l'exécutez avec :

<div class="termy">

```console
$ python myapp.py
```

</div>

alors la variable interne `__name__` de votre fichier, créée automatiquement par Python, aura pour valeur la chaîne de caractères `"__main__"`.

Ainsi, la section :

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

- When the kubelet is watching a ConfigMap or Secret purely in the context of setting environment variables
  for containers, only hold that watch for a defined duration before cancelling it. This change reduces the CPU

environment variable, which could be setin one of the following ways:

```
# Either add an entry to your `.bazelrc` file
build --repo_env=HERMETIC_PYTHON_VERSION=3.12

# OR pass it directly to your specific build command
bazel build <target> --repo_env=HERMETIC_PYTHON_VERSION=3.12

# OR set the environment variable globally in your shell:
export HERMETIC_PYTHON_VERSION=3.12
```

# sets the __all__ variable. If it does, we have to be sure to add
# "contrib".
if "__all__" in vars():
  vars()["__all__"].append("contrib")

from tensorflow.python.platform import flags
# The "app" module will be imported as part of the placeholder section above.
_current_module.app.flags = flags  # pylint: disable=undefined-variable
setattr(_current_module, "flags", flags)

  space-before-bang: 2
  space-before-brace: 2
  space-before-colon: 2
  space-between-parens: 2
  trailing-semicolon: 2
  url-quotes: 2
  variable-for-property:
    - 0
    -
      properties:
        - color
        - background-color
        - fill
  variable-name-format: 0

       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).

import org.apache.maven.api.annotations.Experimental;

/**
 * Exception thrown by {@link Interpolator} implementations when an error occurs during interpolation.
 * This can include syntax errors in variable placeholders or recursive variable references.
 *
 * @since 4.0.0
 */
@Experimental
public class InterpolatorException extends MavenException {

    @Serial
    private static final long serialVersionUID = -1219149033636851813L;

import static com.google.common.base.Preconditions.checkArgument;

import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;
import javax.annotation.CheckForNull;

/**
 * Captures a free type variable that can be used in {@link TypeToken#where}. For example:
 *
 * <pre>{@code
 * static <T> TypeToken<List<T>> listOf(Class<T> elementType) {
 *   return new TypeToken<List<T>>() {}