- **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

as in:

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## Editor support everywhere { #editor-support-everywhere }

And you get editor support everywhere.

Even for items inside of lists:

<img src="/img/tutorial/body-nested-models/image01.png">

You couldn't get this kind of editor support if you were working directly with `dict` instead of Pydantic models.

- **Resource Management**: AutoCloseable patterns for file handles and connections
- **Thread Safety**: Components support concurrent access
- **DFS Support**: Distributed File System resolution
- **Streaming Operations**: Efficient directory listings and file operations
- **Buffer Caching**: Optimized buffer management
- **DCE/RPC Protocol**: Support for advanced operations

## Quick Start

### Basic Usage

```java
import jcifs.CIFSContext;

* `tf.lite`
    * Added support for `stablehlo.gather`.
    * Added support for `stablehlo.add`.
    * Added support for `stablehlo.multiply`.
    * Added support for `stablehlo.maximum`.
    * Added support for `stablehlo.minimum`.
    * Added boolean parameter support for `tfl.gather_nd`.
    * C API:
        * New API functions:
            * `tensorflow/lite/c/c_api_experimental.h`:

#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)
#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#

specific object, for example placed at `ALIAS/bucket/path/to/file.txt` append `/xl.meta`, for instance `mc support inspect ALIAS/bucket/path/to/file.txt/xl.meta`. All files can be collected, so this can also be used to retrieve `part.*` files, etc.

Wildcards can be used, for example `mc support inspect ALIAS/bucket/path/**/xl.meta` will collect all `xl.meta` recursively. `mc support inspect ALIAS/bucket/path/to/file.txt/*/part.*` will collect parts for all versions for the object located...

            // 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")

### Key Features

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

            **BUG!** This issue should not be marked stale by the "stale" workflow.
            Please report it to @gradle/bt-support team
          days-before-issue-close: -1
          close-issue-message: >
            **BUG!** This issue should not be closed by the "stale" workflow.
            Please report it to @gradle/bt-support team
          close-issue-reason: not_planned

        assertEquals(1, capabilities.size(), "TCP provider should only support send/receive");
        assertTrue(capabilities.contains(RdmaCapability.RDMA_SEND_RECEIVE), "Should support send/receive");
        assertFalse(capabilities.contains(RdmaCapability.RDMA_READ), "Should not support RDMA read");
        assertFalse(capabilities.contains(RdmaCapability.RDMA_WRITE), "Should not support RDMA write");
    }

    @Test