import software.amazon.awssdk.services.s3.model.S3Object;
import software.amazon.awssdk.services.s3.model.Tag;
import software.amazon.awssdk.services.s3.model.Tagging;

/**
 * S3-compatible storage client implementation using AWS SDK v2.
 * Supports Amazon S3, MinIO, and other S3-compatible storage systems.
 */
public class S3StorageClient implements StorageClient {

    private static final Logger logger = LogManager.getLogger(S3StorageClient.class);

**FastAPI** アプリケーションのいくつかのメタデータの設定をカスタマイズできます。

## タイトル、説明文、バージョン

以下を設定できます:

* **タイトル**: OpenAPIおよび自動APIドキュメントUIでAPIのタイトル/名前として使用される。
* **説明文**: OpenAPIおよび自動APIドキュメントUIでのAPIの説明文。
* **バージョン**: APIのバージョン。例: `v2` または `2.5.0`。
     *たとえば、以前のバージョンのアプリケーションがあり、OpenAPIも使用している場合に便利です。

これらを設定するには、パラメータ `title`、`description`、`version` を使用します:

{* ../../docs_src/metadata/tutorial001.py hl[4:6] *}

この設定では、自動APIドキュメントは以下の様になります:

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"net/url"
	"testing"
)

// Test list objects resources V2.
func TestListObjectsV2Resources(t *testing.T) {
	testCases := []struct {
		values                               url.Values
		prefix, token, startAfter, delimiter string
		fetchOwner                           bool

Metrics may include one or more labels, such as the server that calculated that metric.

These metrics can be obtained from any MinIO server once per collection by using the following URL:

```shell
https://HOSTNAME:PORT/minio/v2/metrics/cluster
```

Replace ``HOSTNAME:PORT`` with the hostname of your MinIO deployment.
For deployments behind a load balancer, use the load balancer hostname instead of a single node hostname.

## Audit Metrics

Você pode usar as mesmas funcionalidades e ferramentas de validação que usa em modelos do Pydantic, como diferentes tipos de dados e validações adicionais com `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Informação

[kotlin_1_9_23]: https://github.com/JetBrains/kotlin/releases/tag/v1.9.23
[kotlin_2_1_21]: https://github.com/JetBrains/kotlin/releases/tag/v2.1.21
[kotlin_2_2_0]: https://github.com/JetBrains/kotlin/releases/tag/v2.2.0
[kotlin_2_2_20]: https://github.com/JetBrains/kotlin/releases/tag/v2.2.20
[kotlin_2_2_21]: https://github.com/JetBrains/kotlin/releases/tag/v2.2.21
[loom]: https://docs.oracle.com/en/java/javase/21/core/virtual-threads.html

    mod.engine.dispose()


def test_crud_app(client: TestClient):
    # TODO: this warns that SQLModel.from_orm is deprecated in Pydantic v1, refactor
    # this if using obj.model_validate becomes independent of Pydantic v2
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        # No heroes before creating
        response = client.get("heroes/")
        assert response.status_code == 200, response.text

#     dynamic_kernels:  Try to link all kernels dynamically (experimental).
#     dbg:              Build with debug info
#
# TF version options;
#     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.

- github.com/go-logr/zapr: [v1.2.3 → v1.3.0](https://github.com/go-logr/zapr/compare/v1.2.3...v1.3.0)
- github.com/onsi/ginkgo/v2: [v2.13.0 → v2.15.0](https://github.com/onsi/ginkgo/v2/compare/v2.13.0...v2.15.0)
- github.com/onsi/gomega: [v1.29.0 → v1.31.0](https://github.com/onsi/gomega/compare/v1.29.0...v1.31.0)

if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v2/3.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals()))