- **Reflection** (`org.codelibs.core.lang`) - Class loading, method/field access, type introspection utilities, and generics support
- **Exception Handling** (`org.codelibs.core.exception`) - Runtime exception wrappers for common checked exceptions with consistent error handling

### Modern Java 21 Support
- **Pattern Matching** - Leverages modern Java pattern matching for efficient type checking and conversion

#### Various

   Core changes:

  * Support for load balancers with source ranges

#### AWS

Core changes:

  * Support for ELBs with complex configurations: better subnet selection with
multiple subnets, and internal ELBs
  * Support for VPCs with private dns names
  * Multiple fixes to EBS volume mounting code for robustness, and to support
mounting the full number of AWS recommended volumes.

 *  New: APIs to iterate and selectively clear the response cache.
 *  New: Support for SOCKS proxies.
 *  New: Support for `TLS_FALLBACK_SCSV`.
 *  New: Update HTTP/2 support to `h2-16` and `hpack-10`.
 *  New: APIs to prevent retrying non-idempotent requests.
 *  Fix: Drop NPN support. Going forward we support ALPN only.
 *  Fix: The hostname verifier is now strict. This is consistent with the hostname

### Key Features

- **Multi-Protocol Support**: HTTP/HTTPS, File System, FTP, SMB/CIFS, Cloud Storage (MinIO, S3)

#### 4.3 Integration Points
- Extend `SmbFile` for directory lease support
- Modify directory listing operations for caching
- Update change notification handling

---

### Phase 5: RDMA (SMB Direct) Support
**Priority: LOW** | **Estimated Effort: 8-10 weeks**

RDMA provides high-speed, low-latency data transfer for supported network adapters.

#### 5.1 Core RDMA Infrastructure
```

* Le support des **WebSockets**.
* Le support de **GraphQL**.
* Les <abbr title="En anglais: In-process background tasks">tâches d'arrière-plan.</abbr>
* Des évènements de démarrages et d'arrêt.
* Un client de test basé sur `request`
* **CORS**, GZip, Static Files, Streaming responses.
* Le support des **Sessions et Cookies**.
* Une couverture de test à 100 %.

            // Then
            assertTrue(exists, "Should support SMB existence checks");
            assertTrue(isFile, "Should support SMB file type detection");
            assertTrue(canRead, "Should support SMB read permission checks");
            assertTrue(canWrite, "Should support SMB write permission checks");
        }

        @Test
        @DisplayName("SmbResource should support SMB stream operations")

      Raise the error to avoid infinitely looping.
  """
  if not question:
    question = 'Do you wish to build TensorFlow with {} support?'.format(
        query_item)
  if not yes_reply:
    yes_reply = '{} support will be enabled for TensorFlow.'.format(query_item)
  if not no_reply:
    no_reply = 'No {}'.format(yes_reply)

  yes_reply += '\n'
  no_reply += '\n'

# 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.

/// check | Inspired **FastAPI** to

Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.

This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).

///