!!! tip "Consejo"
    Si lo estás dudando, "AlexNet", "ResNet", y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

### Declara un *parámetro de path*

Luego, crea un *parámetro de path* con anotaciones de tipos usando la clase enum que creaste (`ModelName`):

```Python hl_lines="16"

!!! tip "Dica"
	Se você está se perguntando, "AlexNet", "ResNet", e "LeNet" são apenas nomes de <abbr title="técnicamente, modelos de arquitetura de Deep Learning">modelos</abbr> de Machine Learning (aprendizado de máquina).

### Declare um *parâmetro de rota*

Logo, crie um *parâmetro de rota* com anotações de tipo usando a classe enum que você criou (`ModelName`):

```Python hl_lines="16"

    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

-   Different Python versions
-   Linux, MacOS, and Windows machines (these pool definitions are internal)
-   x86 and arm64
-   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs

## How to Test Your Changes to TensorFlow

Denken Sie einfach daran, wenn Sie „Server“ im Allgemeinen lesen, dass es sich auf eines dieser beiden Dinge beziehen kann.

  - pymdownx.tabbed:
      alternate_style: true
  - tables

plugins:
  - search
  - redirects:
      redirect_maps:
        # Redirect all feature pages to features/*
        'caching.md': 'features/caching.md'
        'calls.md': 'features/calls.md'
        'connections.md': 'features/connections.md'
        'events.md': 'features/events.md'
        'https.md': 'features/events.md'

    /**
     * Select all toolchains available in user settings matching the type and requirements,
     * independently from <code>maven-toolchains-plugin</code>.
     *
     * @param session the Maven session, must not be {@code null}
     * @param type the type, must not be {@code null}
     * @param requirements the requirements, may be {@code null}
     * @return the matching toolchains, never {@code null}
     * @since 3.3.0
     */

	expireYaml := `
expire: # Expire objects that match a condition
  apiVersion: v1
  bucket: mybucket # Bucket where this batch job will expire matching objects from
  prefix: myprefix # (Optional) Prefix under which this job will expire objects matching the rules below.
  rules:
    - type: object  # regular objects with zero or more older versions
      name: NAME # match object names that satisfy the wildcard expression.

}

// MatchSimple - returns true one of the matching object name in rules.
func (rules Rules) MatchSimple(objectName string) bool {
	for pattern := range rules {
		if wildcard.MatchSimple(pattern, objectName) {
			return true
		}
	}
	return false
}

// Match - returns TargetIDSet matching object name in rules.
func (rules Rules) Match(objectName string) TargetIDSet {

     * mirror, its URL and ID will be updated to match the values from the mirror specification. Repositories without a
     * matching mirror will pass through unchanged. Note: This method must be called before
     * {@link #injectAuthentication(List, List)} or the repositories will end up with the wrong credentials.
     *

 * the License.
 */

/**
 * <a href="https://guava.dev/CacheBuilder">Discouraged</a> (in favor of <a
 * href="https://github.com/ben-manes/caffeine/wiki">Caffeine</a>) caching utilities.
 *
 * <p>The core interface used to represent caches is {@link Cache}. In-memory caches can be
 * configured and created using {@link CacheBuilder}, with cache entries being loaded by {@link