raise RuntimeError("Couldn't auto-generate sponsors section")
    if not match_pre:
        raise RuntimeError("Couldn't find pre section (<style>) in index.md")
    frontmatter_end = match_pre.end()
    pre_end = match_start.end()
    post_start = match_end.start()
    template = Template(index_sponsors_template)
    message = template.render(sponsors=sponsors)
    pre_content = content[frontmatter_end:pre_end]

```


#### RecordedRequest

Verify requests by their method, path, HTTP version, body, and headers.

```java
RecordedRequest request = server.takeRequest();
assertEquals("POST /v1/chat/send HTTP/1.1", request.getRequestLine());
assertEquals("application/json; charset=utf-8", request.getHeader("Content-Type"));
assertEquals("{}", request.getBody().readUtf8());
```

#### Dispatcher

  val headers: List<String>? by option("-H", "--header", help = "Custom header to pass to server").multiple()

  val userAgent: String by option("-A", "--user-agent", help = "User-Agent to send to server").default(NAME + "/" + versionString())

  val connectTimeout: Int by option(
    "--connect-timeout",
    help = "Maximum time allowed for connection (seconds)",
  ).int().default(DEFAULT_TIMEOUT)

	// the policy lookup would ambiguous.
	if r.TLS == nil {
		writeSTSErrorResponse(ctx, w, ErrSTSInsecureConnection, errors.New("No TLS connection attempt"))
		return
	}

	// A client may send a certificate chain such that we end up
	// with multiple peer certificates. However, we can only accept
	// a single client certificate. Otherwise, the certificate to
	// policy mapping would be ambiguous.

Donc :

```Python
q: Union[str, None] = Query(default=None)
```

... rend le paramètre optionnel, et est donc équivalent à :

```Python
q: Union[str, None] = None
```

Mais déclare explicitement `q` comme étant un paramètre de requête.

/// info

python_init_toolchains()

load("@local_tsl//third_party/py:python_init_pip.bzl", "python_init_pip")

python_init_pip()

load("@pypi//:requirements.bzl", "install_deps")

install_deps()
# End hermetic Python initialization

load("@//tensorflow:workspace2.bzl", "tf_workspace2")

tf_workspace2()

load("@//tensorflow:workspace1.bzl", "tf_workspace1")

tf_workspace1()

This is the case for most of the web applications.

Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.

And then waiting 🕙 again for the responses to come back.

This "waiting" 🕙 is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.

That's why it makes a lot of sense to use asynchronous ⏸🔀⏯ code for web APIs.

		r, w := io.Pipe()
		// Make sure we close the pipe so blocked writes doesn't stay around.
		defer r.CloseWithError(context.Canceled)

		readers[i] = newMetacacheReader(r)
		d := disks[i]

		// Send request to each disk.
		go func() {
			var werr error
			if d == nil {
				werr = errDiskNotFound
			} else {
				werr = d.WalkDir(ctx, WalkDirOptions{
					Limit:          opts.perDiskLimit,

# certain shared libraries during the wheel building process (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/build_pip_package.sh#L255-L262).
# When we use Patchelf versions <0.12, those shared libraries end up with a
# corrupted PT_NOTE program header. This was fixed in v0.12, see https://github.com/NixOS/patchelf/commit/43a33482b501b0f5ee9da312aabfca3806570cc9.

     */
    @Deprecated
    MavenExecutionRequest populateFromSettings(MavenExecutionRequest request, Settings settings)
            throws MavenExecutionRequestPopulationException;

    /*end[MAVEN4]*/