import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.Pair;
import org.codelibs.fess.crawler.Constants;
import org.codelibs.fess.crawler.builder.RequestDataBuilder;
import org.codelibs.fess.crawler.container.CrawlerContainer;
import org.codelibs.fess.crawler.entity.AccessResultData;
import org.codelibs.fess.crawler.entity.RequestData;
import org.codelibs.fess.crawler.entity.ResponseData;

        <jsp:param name="menuType" value="searchList"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.search_list_configuration"/>

  // +optional
  optional DaemonSetUpdateStrategy updateStrategy = 3;

  // The minimum number of seconds for which a newly created DaemonSet pod should
  // be ready without any of its container crashing, for it to be considered
  // available. Defaults to 0 (pod will be considered available as soon as it
  // is ready).
  // +optional
  optional int32 minReadySeconds = 4;

  // DEPRECATED.

    # its much simpler if we have a single kubeconfig that can be used internally and externally.
    # To do this, we can replace the server with the IP address of the docker container
    # https://github.com/kubernetes-sigs/kind/issues/1558 tracks this upstream
    CONTAINER_IP=$(docker inspect "${CLUSTER_NAME}-control-plane" --format "{{ .NetworkSettings.Networks.kind.IPAddress }}")
    n=0

if ($(this._getContainerId()).length === 0) {\n      const container = $('<div />').attr('id', this._getContainerId().replace('#', ''))\n      if (this._config.position == POSITION_TOP_RIGHT) {\n        container.addClass(CLASS_NAME_TOP_RIGHT)\n      } else if (this._config.position == POSITION_TOP_LEFT) {\n        container.addClass(CLASS_NAME_TOP_LEFT)\n      } else if (this._config.position == POSITION_BOTTOM_RIGHT) {\n        container.addClass(CLASS_NAME_BOTTOM_RIGHT)\n      } else if (this._config.position...

        <jsp:param name="menuCategoryType" value="user"/>
        <jsp:param name="menuType" value="user"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.user_title_details"/>
                        </h1>

static void TF_Reset_Helper(const TF_SessionOptions* opt,
                            const char** containers, int ncontainers,
                            TF_Status* status) {
  std::vector<string> container_names(ncontainers);
  for (int i = 0; i < ncontainers; ++i) {
    container_names[i] = containers[i];
  }

  status->status = Reset(opt->options, container_names);
}

extern "C" {

        <jsp:param name="menuType" value="general"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.crawler_title_edit"/>
                        </h1>

When a plugin has a complete and valid configuration, the plugin would be looked up in the Plexus container and be ready to perform any operations requested of it.

h3. Execution of the plugin

    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10