/** Keys are edges incoming to the origin node, values are the source node. */
  final Map<E, N> inEdgeMap;

  /** Keys are edges outgoing from the origin node, values are the target node. */
  final Map<E, N> outEdgeMap;

  private int selfLoopCount;

  AbstractDirectedNetworkConnections(Map<E, N> inEdgeMap, Map<E, N> outEdgeMap, int selfLoopCount) {
    this.inEdgeMap = checkNotNull(inEdgeMap);

      return false;
    }
    node = nodeIterator.next();
    successorIterator = graph.successors(node).iterator();
    return true;
  }

  /**
   * If the graph is directed, each ordered [source, target] pair will be visited once if there is
   * an edge connecting them.
   */
  private static final class Directed<N> extends EndpointPairIterator<N> {
    private Directed(BaseGraph<N> graph) {
      super(graph);
    }

        with:
          push: ${{ contains(github.event.pull_request.labels.*.name, 'build and push to gcr.io for staging') }}
          context: ./tensorflow/tools/tf_sig_build_dockerfiles
          target: devel
          build-args: |
            PYTHON_VERSION=${{ matrix.python-version }}
            CACHEBUSTER=${{ steps.date.outputs.DATE }}
          tags: |

    echo "the rust toolchain (cargo, etc) is required for building ztunnel"
    return 1
  fi

  pushd "${BUILD_ZTUNNEL_REPO}"
  cargo build --profile="${BUILD_ZTUNNEL_PROFILE:-dev}" ${BUILD_ZTUNNEL_TARGET:+--target=${BUILD_ZTUNNEL_TARGET}}

  local ZTUNNEL_BIN_PATH
  if [[ "${BUILD_ZTUNNEL_PROFILE:-dev}" == "dev" ]]; then
      ZTUNNEL_BIN_PATH=debug
  else
      ZTUNNEL_BIN_PATH="${BUILD_ZTUNNEL_PROFILE}"
  fi

///

/// info

你还可以使用：

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`

参考 <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydantic 文档</a> 中对 `exclude_defaults` 和 `exclude_none` 的描述。

///

)
```

/// info

For a more complete explanation of `**user_dict` check back in [the documentation for **Extra Models**](../extra-models.md#about-user_indict){.internal-link target=_blank}.

///

## Return the token

The response of the `token` endpoint must be a JSON object.

)
```

/// info

Eine ausführlichere Erklärung von `**user_dict` finden Sie in [der Dokumentation für **Extra Modelle**](../extra-models.md#uber-user_indict){.internal-link target=_blank}.

///

## Den Token zurückgeben

Die Response des `token`-Endpunkts muss ein JSON-Objekt sein.

    }
    Object result;
    try {
      result = supplier.get();
    } catch (Throwable t) {
      if (predicate.apply(t)) {
        // We are careful to set up INSTANCE_OF to match each Predicate to its target Class.
        @SuppressWarnings("unchecked")
        T caught = (T) t;
        return caught;
      }
      throw new AssertionError(

    }
    Object result;
    try {
      result = supplier.get();
    } catch (Throwable t) {
      if (predicate.apply(t)) {
        // We are careful to set up INSTANCE_OF to match each Predicate to its target Class.
        @SuppressWarnings("unchecked")
        T caught = (T) t;
        return caught;
      }
      throw new AssertionError(

		<Property name="root.log.level" value="${sys:fess.log.level:-info}" />
		<Property name="log.pattern" value="%d [%t] %-5p %msg%n" />
		<Property name="log.file.basedir" value="${sys:fess.log.path:-target/logs}" />
		<Property name="backup.date.suffix" value="_%d{yyyyMMdd}" />
		<Property name="backup.max.history" value="10" />
		<Property name="backup.max.age" value="90" />
		<Property name="backup.audit.max.age" value="360" />