line := s.Text()
		switch {
		case skip && line != "":
		case skip && line == "":
			skip = false
		case record && line == "":
			stackTrace := bf.String()
			reset()
			record = false
			if searchRE == nil || searchRE.MatchString(stackTrace) {
				ret[t] = append(ret[t], stackTrace)
			}
		case record:
			save(line)
		default:
			z := goroutinesRE.FindStringSubmatch(line)
			if len(z) == 3 {
				if z[2] != "" {

public abstract class RankFusionSearcher {
    protected String name;

    public String getName() {
        if (name == null) {
            name = StringUtil.decamelize(this.getClass().getSimpleName().replace("Searcher", StringUtil.EMPTY)).toLowerCase(Locale.ENGLISH);
        }
        return name;
    }

    protected abstract SearchResult search(String query, SearchRequestParams params, OptionalThing<FessUserBean> userBean);

        return this;
    }

    /**
     * Sets the configuration to the configuration taken from the specified build plugin in the POM. First, the build
     * plugins will be searched for the specified plugin, if that fails, the plugin management section will be searched.
     *
     * @param model The POM to extract the plugin configuration from, may be {@code null}.

          username: _json_key
          password: ${{ secrets.GCP_CREDS }}
      -
        name: Grab the upcoming TF version to tag this container
        run: |
          # [[:digit:]] searches for numbers and \+ joins them together
          major_version=$(grep "^#define TF_MAJOR_VERSION" ./tensorflow/core/public/version.h | grep -o "[[:digit:]]\+")

      else -> error("unexpected rangesIndex for $codePoint")
    }

    return true
  }

  /**
   * Binary search [sections] for [codePoint], looking at its top 14 bits.
   *
   * This binary searches over 4-byte entries, and so it needs to adjust binary search indices
   * in (by dividing by 4) and out (by multiplying by 4).
   */
  private fun findSectionsIndex(codePoint: Int): Int {

  <Tags>Full Text Search</Tags>
  <Contact>******@****.***</Contact>
  <SearchForm>http://localhost:8080/fess/</SearchForm>
  <Url type="text/html" template="http://localhost:8080/fess/search?q={searchTerms}"/>
  <InputEncoding>UTF-8</InputEncoding>
  <OutputEncoding>UTF-8</OutputEncoding>

  <Tags>Full Text Search</Tags>
  <Contact>******@****.***</Contact>
  <SearchForm>http://localhost:8080/fess/</SearchForm>
  <Url type="text/html" template="http://localhost:8080/fess/search?q={searchTerms}"/>
  <InputEncoding>UTF-8</InputEncoding>
  <OutputEncoding>UTF-8</OutputEncoding>

        while (restCapacity > 0 && list.isNotEmpty() && buckets.size < maxNumberInBucket) {
            val smallestElement = list.findLast { searched -> buckets.all { canRunTogether(it, searched) } } ?: break
            list.remove(smallestElement)
            buckets.add(smallestElement)
            restCapacity -= toIntFunction(smallestElement)
        }

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

	<dd>
		OR operator matches documents where any terms exist anywhere in the
		text of a single document.
		<pre>Fess OR CodeLibs</pre>
	</dd>
	<dt>Wildcard</dt>
	<dd>
		single and multiple character wildcard searches within single terms
		are supported. "?" symbol is a single character wildcard search, and
		"*" is a multiple character wildcard search.
		<pre>Fess*</pre>
		or
		<pre>Fe?s</pre>
	</dd>
	<dt>Range</dt>
	<dd>