*
 * <p>This test class generates all of its own test cases in the {@link #suite()} method. Every
 * {@code enterXxx}, {@code tryEnterXxx}, and {@code waitForXxx} method of the {@code Monitor} class
 * is analyzed reflectively to determine appropriate test cases based on its signature. Additional
 * ad hoc test cases can be found in {@link SupplementalMonitorTest}.
 *
 * @author Justin T. Sampson
 */

    
    From: [@mikedanese](https://github.com/mikedanese):
    Instead of aliasing. Aliases are annoying in a number of ways. This is
    specifically bugging me now because they make the action graph harder to
    analyze programmatically. By using aliases here, we would need to handle
    potentially aliased go_binary targets and dereference to the effective
    target.
  

      },
      "fess_korean_normal": {
        "type": "nori_tokenizer",
        "decompound_mode": "mixed",
        "user_dictionary_rules": ["덕후", "버카충", "낄끼빠빠" ]
      }
    },
    "analyzer" : {
      "reading_analyzer" : {
        "type" : "custom",
        "tokenizer" : "fess_japanese_normal",
        "filter" : ["reading_form"]
      },
      "reading_term_analyzer" : {
        "type" : "custom",

        "discard_punctuation" : "false"
      },
      "fess_korean_normal": {
        "type": "seunjeon_tokenizer",
        "index_eojeol": false,
        "user_words": ["덕후", "버카충", "낄끼빠빠" ]
      }
    },
    "analyzer" : {
      "reading_analyzer" : {
        "type" : "custom",
        "tokenizer" : "fess_japanese_normal",
        "filter" : ["reading_form"]
      },
      "reading_term_analyzer" : {
        "type" : "custom",

      },
      "fess_korean_normal": {
        "type": "fess_korean_tokenizer",
        "decompound_mode": "mixed",
        "user_dict_path": "${fess.dictionary.path}ko/nori.txt"
      }
    },
    "analyzer" : {
      "reading_analyzer" : {
        "type" : "custom",
        "tokenizer" : "fess_japanese_normal",
        "filter" : ["reading_form"]
      },
      "reading_term_analyzer" : {
        "type" : "custom",

        "mode" : "normal",
        "discard_punctuation" : "false"
      },
      "pattern_split" : {
        "type" : "simple_pattern_split",
        "pattern" : "__and__"
      }
    },
    "analyzer" : {
      "reading_analyzer" : {
        "type" : "custom",
        "tokenizer" : "kuromoji_neologd_normal",
        "filter" : ["reading_form"]
      },
      "reading_term_analyzer" : {
        "type" : "custom",

    /** The key of the configuration. e.g.  */
    String QUERY_ADDITIONAL_ANALYZED_FIELDS = "query.additional.analyzed.fields";

    /** The key of the configuration. e.g.  */
    String QUERY_ADDITIONAL_NOT_ANALYZED_FIELDS = "query.additional.not.analyzed.fields";

    /** The key of the configuration. e.g. UE,U,T,RK,S,LANG */
    String QUERY_GSA_RESPONSE_FIELDS = "query.gsa.response.fields";

            "index_eojeol": false,
            "user_words": ["덕후", "버카충", "낄끼빠빠" ]
        },
        "simplified_chinese_tokenizer": {
            "type": "smartcn_tokenizer"
        }
      },
      "analyzer": {
        "arabic_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",

            "user_dictionary_rules": ["덕후", "버카충", "낄끼빠빠" ]
        },
        "simplified_chinese_tokenizer": {
            "type": "smartcn_tokenizer"
        }
      },
      "analyzer": {
        "arabic_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",

in the second file, and so on.
</p>

<p>
Dependency analysis does not rely on the actual values of the
variables, only on lexical <i>references</i> to them in the source,
analyzed transitively. For instance, if a variable <code>x</code>'s
initialization expression refers to a function whose body refers to
variable <code>y</code> then <code>x</code> depends on <code>y</code>.
Specifically:
</p>