As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)
* Data <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>

    }

    @Test
    @DisplayName("getConfig should return the provided configuration")
    void testGetConfig() {
        // When
        Configuration config = context.getConfig();

        // Then
        assertSame(mockConfig, config, "Should return the same configuration instance");
    }

    @Test

    * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all in your code).

/* jcifs smb client library in Java
 * Copyright (C) 2002  "Michael B. Allen" <jcifs at samba dot org>
 *                   "Eric Glass" <jcifs at samba dot org>
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request`.

///

## Override the default exception handlers { #override-the-default-exception-handlers }

  }

  @Test
  fun testNoUncompress() {
    val response = response("https://httpbin.org/brotli", "XXXX".encodeUtf8())

    val same = brotliInterceptor.decompress(response)

    val responseString = same.body.string()
    assertThat(responseString).isEqualTo("XXXX")
  }

  @Test
  fun testFailsUncompress() {
    val response =

* There can be **multiple processes** of the **same program** running at the same time.

If you check out the "task manager" or "system monitor" (or similar tools) in your operating system, you will be able to see many of those processes running.

///

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }

It's **not supported** by Pydantic to have a model of Pydantic v2 with its own fields defined as Pydantic v1 models or vice versa.

```mermaid
graph TB
    subgraph "❌ Not Supported"

                        "-s", "testuser2 private share;/testuser2;no;no;no;testuser2", //
                        "-g", "log level = 3");
        logger.info("Starting Samba container with image {}", IMAGE_NAME);
        sambaServer.start();
        logger.info("Samba container started");

        host = sambaServer.getContainerIpAddress();
        port = sambaServer.getMappedPort(445);

        synchronized (this.sidCache) {
            try (DcerpcHandle handle = DcerpcHandle.getHandle("ncacn_np:" + authorityServerName + "[\\PIPE\\samr]", tc)) {
                final samr.SamrSamArray sam = new samr.SamrSamArray();
                try (SamrPolicyHandle policyHandle = new SamrPolicyHandle(handle, authorityServerName, 0x02000000);