*
 * <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
 */
@NullUnmarked

///

### <a href="https://webargs.readthedocs.io/en/latest/" class="external-link" target="_blank">Webargs</a>

Outro grande recurso necessário pelas APIs é a <abbr title="ler e converter para dados Python">análise</abbr> de dados vindos de requisições.

Webargs é uma ferramente feita para fornecer o que está no topo de vários frameworks, inclusive Flask.

        "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",

            encountered during execution, an exception will be raised with
            information about the incompatible ops.
    *   Add lite.experimental.Analyzer API
        *   An experimental tool to analyze TFLite flatbuffer models. This API
            can be used to investigate TFLite model structure and check
            compatibility with GPU delegate.

*   Extension Types

    
    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",

        "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",

     * Get the value for the key 'query.additional.analyzed.fields'. <br>
     * The value is, e.g.  <br>
     * comment: Additional analyzed fields for queries.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryAdditionalAnalyzedFields();

    /**
     * Get the value for the key 'query.additional.analyzed.fields' as {@link Integer}. <br>

            "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",