/// tip | Consejo

Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <dfn title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</dfn> de Machine Learning.

///

### Declarar un *path parameter* { #declare-a-path-parameter }

Luego crea un *path parameter* con una anotación de tipo usando la clase enum que creaste (`ModelName`):

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <dfn title="Technically, Deep Learning model architectures">models</dfn>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

     */
    boolean isAllowCompound(String command);

    /**
     * Machine identifier
     *
     * ClientGuid, ... are derived from this value.
     *
     * Normally this should be randomly assigned for each client instance/configuration.
     *
     * @return machine identifier (32 byte)
     */
    byte[] getMachineId();

    /**
     *
     *

    * Le contenu est **crypté**, même s'il est envoyé avec le **protocole HTTP**.

    - [Deprecated metrics](#deprecated-metrics)
  - [Notable Features](#notable-features)
  - [API Changes](#api-changes)
  - [Detailed Bug Fixes And Changes](#detailed-bug-fixes-and-changes)
    - [API Machinery](#api-machinery)
    - [Apps](#apps)
    - [Auth](#auth)
    - [AWS](#aws)
    - [Azure](#azure)
    - [CLI](#cli)
    - [Cloud Provider](#cloud-provider)
    - [Cluster Lifecycle](#cluster-lifecycle)
    - [GCP](#gcp)

    -   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

 * resources) are stored and retrieved. There are two primary types of repositories:<ul>
 *     <li><dfn>{@linkplain org.apache.maven.api.LocalRepository local repository}</dfn>: A directory on the developer's machine where Maven caches
 *     downloaded artifacts.</li>
 *     <li><dfn>{@linkplain org.apache.maven.api.RemoteRepository remote repository}</dfn>: A central or distributed location from which Maven can download artifacts

  - [WARNING: etcd backup strongly recommended](#warning-etcd-backup-strongly-recommended)
  - [Introduction to 1.9.0](#introduction-to-190)
  - [Major themes](#major-themes)
    - [API Machinery](#api-machinery)
    - [Apps](#apps)
    - [Auth](#auth)
    - [AWS](#aws)
    - [Azure](#azure)
    - [Cluster Lifecycle](#cluster-lifecycle)
    - [Instrumentation](#instrumentation)
    - [Network](#network)

			// spurious blank caused by Split on "\n"
			output = output[1:]
			continue
		}
		t.Errorf("unexpected output: %q", output[0])
		output = output[1:]
	}

	// Checked printing.
	// Now check machine code layout.

	top := pList.Firstpc
	var text *obj.LSym
	ok = true
	ctxt.DiagFunc = func(format string, args ...any) {
		t.Errorf(format, args...)
		ok = false
	}
	obj.Flushplist(ctxt, pList, nil)

    C --> F[Witness Protocol]
    D --> F
```

## Testing Strategy

### Unit Tests
- Individual component testing for each feature
- Mock-based testing for protocol interactions
- State machine validation

### Integration Tests
- Feature interaction testing
- Network failure simulation
- Performance benchmarking
- Compatibility testing with Windows Server 2016/2019/2022