///

### Before and after the `response`

You can add code to be run with the `request`,  before any *path operation* receives it.

And also after the `response` is generated, before returning it.

For example, you could add a custom header `X-Process-Time` containing the time in seconds that it took to process the request and generate a response:

```Python hl_lines="10  12-13"

			keys:           []string{},
			expectedFields: map[string]struct{}{},
		},
		// Single key requested and present
		{
			input:          `comment="Hi this is my comment ="`,
			keys:           []string{"comment"},
			expectedFields: map[string]struct{}{`comment="Hi this is my comment ="`: {}},
		},
		// Keys and input order of k=v is same.
		{
			input: `connection_string="host=localhost port=2832" comment="really long comment"`,

And then you can set cookies in that *temporal* response object.

```Python hl_lines="1  8-9"
{!../../docs_src/response_cookies/tutorial002.py!}
```

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

Two new interfaces, [TextAppender] and [BinaryAppender], have been
introduced to append the textual or binary representation of an object
to a byte slice. These interfaces provide the same functionality as
[TextMarshaler] and [BinaryMarshaler], but instead of allocating a new slice

 * certificate is signed by the certificate that follows, and the last certificate is a trusted CA
 * certificate.
 *
 * Use of the chain cleaner is necessary to omit unexpected certificates that aren't relevant to
 * the TLS handshake and to extract the trusted CA certificate for the benefit of certificate
 * pinning.
 */
abstract class CertificateChainCleaner {

// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//
// The test code can then read and test the value of that counter:
//
// auto* reader = TFE_MonitoringNewCounterReader("name");
// test();

}

func (s *Slice) Col() int {
	// TODO: Col is only called when defining a macro and all it cares about is increasing
	// position to discover whether there is a blank before the parenthesis.
	// We only get here if defining a macro inside a macro.
	// This imperfect implementation means we cannot tell the difference between
	//	#define A #define B(x) x
	// and
	//	#define A #define B (x) x

This product includes software developed at MinIO, Inc.
(https://min.io/).

The MinIO project contains unmodified/modified subcomponents too with
separate copyright notices and license terms. Your use of the source
code for these subcomponents is subject to the terms and conditions

third party CAs MinIO can connect to other servers, including MinIO nodes or other server types such as NATs and Redis. If these servers use certificates that were not registered with a known CA, add trust for these certificates to MinIO Server by bundling these certificates into a Kubernetes secret and providing it to Helm via the `trustedCertsSecret` value. If `.Values.tls.enabled` is `true` and you're installing certificates for third party CAs, remember to include MinIO's own certificate with key...

third party CAs MinIO can connect to other servers, including MinIO nodes or other server types such as NATs and Redis. If these servers use certificates that were not registered with a known CA, add trust for these certificates to MinIO Server by bundling these certificates into a Kubernetes secret and providing it to Helm via the `trustedCertsSecret` value. If `.Values.tls.enabled` is `true` and you're installing certificates for third party CAs, remember to include MinIO's own certificate with key...