# 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 <******@****.***> <******@****.***>

  // The list ordering isn't significant, may contain duplicates, and possibly be incomplete.
  repeated ResourceRule resourceRules = 1;

  // NonResourceRules is the list of actions the subject is allowed to perform on non-resources.
  // The list ordering isn't significant, may contain duplicates, and possibly be incomplete.
  repeated NonResourceRule nonResourceRules = 2;

  // The list ordering isn't significant, may contain duplicates, and possibly be incomplete.
  repeated ResourceRule resourceRules = 1;

  // NonResourceRules is the list of actions the subject is allowed to perform on non-resources.
  // The list ordering isn't significant, may contain duplicates, and possibly be incomplete.
  repeated NonResourceRule nonResourceRules = 2;

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

            DeclaredMemberScopeKind.COMBINED -> {
                // The static scope contains inner classes, so we need to exclude them from the non-static scope to avoid duplicates.
                val nonStaticScope = FirNoClassifiersScope(getBaseUseSiteScope())
                getStaticScope()
                    ?.let { staticScope -> FirNameAwareCompositeScope(listOf(nonStaticScope, staticScope)) }

    ```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