}
                return null;
            }
        };
        client.setAccessTimeout(1);
        try {
            client.doGet("smb://localhost/test.txt");
            fail();
        } catch (CrawlingAccessException e) {
            assertTrue(e.getCause() instanceof InterruptedException);
        }
    }

{* ../../docs_src/query_params_str_validations/tutorial011_an_py310.py hl[9] *}

Entonces, con una URL como:

```
http://localhost:8000/items/?q=foo&q=bar
```

recibirías los múltiples valores del *query parameter* `q` (`foo` y `bar`) en una `list` de Python dentro de tu *path operation function*, en el *parámetro de función* `q`.

        assertEquals(sharename, shareGetInfo.sharename);
        assertEquals(testServer, shareGetInfo.servername);
    }

    @ParameterizedTest
    @NullAndEmptySource
    @ValueSource(strings = { "", "localhost", "192.168.1.1", "server.domain.com", "\\\\server" })
    void testConstructorWithDifferentServers(String server) {
        // Test with various server values

.Values.service.type "ClusterIP" "NodePort" }} Minio can be accessed via port {{ .Values.service.port }} on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access Minio from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace...

.Values.service.type "ClusterIP" "NodePort" }} Minio can be accessed via port {{ .Values.service.port }} on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access Minio from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace...

```java
// Add OpenSearch dependency and configure
container.singleton("opensearchDataService", OpenSearchDataService.class, service -> {
    service.setIndexName("crawler-data");
    service.setHostname("localhost");
    service.setPort(9200);
});
```

## Performance Tuning

### Thread Configuration

```java
// Optimize thread pool settings

    name: Apache 2.0
    url: http://www.apache.org/licenses/LICENSE-2.0.html
  version: 14.8.0
externalDocs:
  description: API Documentation
  url: https://fess.codelibs.org/14.8/api/
servers:
  - url: http://localhost:8080/api/v1
tags:
  - name: search
    description: Search operations
  - name: popularword
    description: Popular word operations
  - name: monitor
    description: Monitoring operations
  - name: suggest

Sobald wir eine FastAPI-App mit den Modellen haben, können wir Hey API verwenden, um einen TypeScript-Client zu generieren. Der schnellste Weg das zu tun, ist über npx.

```sh
npx @hey-api/openapi-ts -i http://localhost:8000/openapi.json -o src/client
```

Dies generiert ein TypeScript-SDK in `./src/client`.

### Hey API { #hey-api }

Depois que tivermos uma aplicação FastAPI com os modelos, podemos usar o Hey API para gerar um cliente TypeScript. A forma mais rápida é via npx.

```sh
npx @hey-api/openapi-ts -i http://localhost:8000/openapi.json -o src/client
```

Isso gerará um SDK TypeScript em `./src/client`.

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