# Generate CONTRIBUTORS.md: contributors.sh

# Tip for finding duplicates (besides scanning the output of CONTRIBUTORS.md for name
# duplicates that aren't also email duplicates): scan the output of:
#   git log --format='%aE - %aN' | sort -uf
#
# For explanation on this file format: man git-shortlog

Anand Babu (AB) Periasamy <******@****.***> Anand Babu (AB) Periasamy <******@****.***>
Anand Babu (AB) Periasamy <******@****.***> <******@****.***>

import java.util.ArrayDeque
import java.util.Deque
import javax.net.ssl.SSLPeerUnverifiedException

/**
 * A certificate chain cleaner that uses a set of trusted root certificates to build the trusted
 * chain. This class duplicates the clean chain building performed during the TLS handshake. We
 * prefer other mechanisms where they exist, such as with
 * [okhttp3.internal.platform.AndroidPlatform.AndroidCertificateChainCleaner].
 *

* `frozenset`:
    * In requests and responses, treated the same as a `set`:
        * In requests, a list will be read, eliminating duplicates and converting it to a `set`.
        * In responses, the `set` will be converted to a `list`.
        * The generated schema will specify that the `set` values are unique (using JSON Schema's `uniqueItems`).
* `bytes`:

  // be rejected in admission.
  // +optional
  // +mapType=atomic
  map<string, string> nodeSelector = 1;

  // tolerations are appended (excluding duplicates) to pods running with this
  // RuntimeClass during admission, effectively unioning the set of nodes
  // tolerated by the pod and the RuntimeClass.
  // +optional
  // +listType=atomic

  // be rejected in admission.
  // +optional
  // +mapType=atomic
  map<string, string> nodeSelector = 1;

  // tolerations are appended (excluding duplicates) to pods running with this
  // RuntimeClass during admission, effectively unioning the set of nodes
  // tolerated by the pod and the RuntimeClass.
  // +optional
  // +listType=atomic

  // be rejected in admission.
  // +optional
  // +mapType=atomic
  map<string, string> nodeSelector = 1;

  // tolerations are appended (excluding duplicates) to pods running with this
  // RuntimeClass during admission, effectively unioning the set of nodes
  // tolerated by the pod and the RuntimeClass.
  // +optional
  // +listType=atomic

    ```Python hl_lines="1  14"
    {!> ../../../docs_src/body_nested_models/tutorial003.py!}
    ```

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models

   * Returns a string with the URL hostname, socket IP address, and socket port, like one of these:
   *
   *  * `example.com:80 at 1.2.3.4:8888`
   *  * `example.com:443 via proxy [::1]:8888`
   *
   * This omits duplicate information when possible.
   */
  override fun toString(): String {
    return buildString {
      val addressHostname = address.url.host // Already in canonical form.

* `frozenset`:
    * Em requisições e respostas, será tratado da mesma forma que um `set`:
        * Nas requisições, uma lista será lida, eliminando duplicadas e convertendo-a em um `set`.
        * Nas respostas, o `set` será convertido para uma `list`.
        * O esquema gerado vai especificar que os valores do `set` são unicos (usando o `uniqueItems` do JSON Schema).
* `bytes`:

```Python hl_lines="1  14"
{!../../../docs_src/body_nested_models/tutorial003.py!}
```

Com isso, mesmo que você receba uma requisição contendo dados duplicados, ela será convertida em um conjunto de itens exclusivos.

E sempre que você enviar esses dados como resposta, mesmo se a fonte tiver duplicatas, eles serão gerados como um conjunto de itens exclusivos.

E também teremos anotações/documentação em conformidade.

## Modelos aninhados