### Working with Python *enumerations* { #working-with-python-enumerations }

The value of the *path parameter* will be an *enumeration member*.

#### Compare *enumeration members* { #compare-enumeration-members }

You can compare it with the *enumeration member* in your created enum `ModelName`:

{* ../../docs_src/path_params/tutorial005.py hl[17] *}

#### Get the *enumeration value* { #get-the-enumeration-value }

package jcifs.smb1.dcerpc.msrpc;

/**
 * MSRPC implementation for retrieving members of an alias.
 * This class provides functionality to get the list of security identifiers (SIDs)
 * that are members of a specific alias using the SAMR RPC interface.
 */
public class MsrpcGetMembersInAlias extends samr.SamrGetMembersInAlias {

    /**
     * Creates a new request to get members of an alias.
     *
     * @param aliasHandle the handle to the alias

<img src="/img/tutorial/path-params/image03.png">

### Trabalhando com os *enumeration* do Python

O valor do *parâmetro da rota* será um *membro de enumeration*.

#### Compare *membros de enumeration*

Você pode comparar eles com o *membro de enumeration* no enum `ModelName` que você criou:

{* ../../docs_src/path_params/tutorial005.py hl[17] *}

#### Obtenha o *valor de enumerate*

		total:             "Total memory on the node",
		memUsed:           "Used memory on the node",
		memUsedPerc:       "Used memory percentage on the node",
		memFree:           "Free memory on the node",
		memShared:         "Shared memory on the node",
		memBuffers:        "Buffers memory on the node",
		memCache:          "Cache memory on the node",
		memAvailable:      "Available memory on the node",

 * offering expected O(n + k log k) performance (worst case O(n log k)) for n calls to {@link
 * #offer} and a call to {@link #topK}, with O(k) memory. In comparison, quickselect has the same
 * asymptotics but requires O(n) memory, and a {@code PriorityQueue} implementation takes O(n log
 * k). In benchmarks, this implementation performs at least as well as either implementation, and

O código relacionado à segurança e à injeção de dependências é escrito apenas...

        }
    }

    /**
     * Gets the members of the group represented by this SID.
     *
     * @param authorityServerName the server to use for resolution
     * @param auth the authentication credentials to use
     * @param flags resolution flags
     * @return array of SIDs representing group members
     * @throws IOException if there is an error retrieving group members
     */

Cette image est dotée d'un mécanisme d'"auto-tuning", de sorte qu'il vous suffit d'ajouter votre code pour obtenir automatiquement des performances très élevées. Et sans faire de sacrifices.

Mais vous pouvez toujours changer et mettre à jour toutes les configurations avec des variables d'environnement ou des fichiers de configuration.

/// tip | Astuce

#         ; localTableName  = MEMBER             ; foreignTableName  = MEMBER_STATUS
#         ; localColumnName = MEMBER_STATUS_CODE ; foreignColumnName = MEMBER_STATUS_CODE
#     }
#     ; FK_PURCHASE_MEMBER_ID = map:{
#         ; localTableName  = PURCHASE  ; foreignTableName  = MEMBER
#     }
#     ; FK_MEMBER_MEMBER_ADDRESS_VALID = map:{
#         ; localTableName  = MEMBER    ; foreignTableName  = MEMBER_ADDRESS

        return true;
      }
    }
    return false;
  }

  private boolean isIgnored(Member member) {
    return member.isSynthetic()
        || ignoredMembers.contains(member)
        || isEquals(member)
        /*
         * We can assume that Kotlin code is performing the null checks that we want, since kotlinc