Consulte [MIGRATION.md](MIGRATION.md).

## Data Store

Atualmente, o Fess suporta o rastreamento dos seguintes [locais de armazenamento e APIs](https://fess.codelibs.org/14.17/admin/dataconfig-guide.html):

 - [Confluence/Jira](https://github.com/codelibs/fess-ds-atlassian)
 - [Box](https://github.com/codelibs/fess-ds-box)
 - [CSV](https://github.com/codelibs/fess-ds-csv)
 - [Database](https://github.com/codelibs/fess-ds-db)

## 他の検索プロバイダーからの移行

[MIGRATION.md](MIGRATION.md)を参照してください。

## データストア

現在、Fessは以下の[ストレージロケーションとAPI](https://fess.codelibs.org/14.17/admin/dataconfig-guide.html)のクロールをサポートしています：

 - [Confluence/Jira](https://github.com/codelibs/fess-ds-atlassian)
 - [Box](https://github.com/codelibs/fess-ds-box)
 - [CSV](https://github.com/codelibs/fess-ds-csv)
 - [Database](https://github.com/codelibs/fess-ds-db)

## 다른 검색 제공자에서의 마이그레이션

[MIGRATION.md](MIGRATION.md)를 참조하십시오.

## 데이터 저장소

현재 Fess는 다음 [저장소 위치 및 API](https://fess.codelibs.org/14.17/admin/dataconfig-guide.html)를 크롤링할 수 있습니다:

 - [Confluence/Jira](https://github.com/codelibs/fess-ds-atlassian)
 - [Box](https://github.com/codelibs/fess-ds-box)
 - [CSV](https://github.com/codelibs/fess-ds-csv)
 - [Database](https://github.com/codelibs/fess-ds-db)

    custom: GradleBuildStep.() -> Unit,
): GradleBuildStep =
    GradleBuildStep(init)
        .apply(custom)
        .also {
            step(it)
        }

/**
 * Adds a [Gradle build step](https://confluence.jetbrains.com/display/TCDL/Gradle)
 * that runs with the Gradle wrapper.
 *
 * @see GradleBuildStep
 */
fun BuildSteps.gradleWrapper(
    buildType: BuildType? = null,
    init: GradleBuildStep.() -> Unit,

        }
      }
      entries[entryIndex] = effectiveEntry;
    }
    if (duplicates != null) {
      // Explicit type parameters needed here to avoid a problem with nullness inference.
      entries = RegularImmutableMap.<K, V>removeDuplicates(entries, n, n - dupCount, duplicates);
      int newTableSize = Hashing.closedTableSize(entries.length, MAX_LOAD_FACTOR);
      if (newTableSize != tableSize) {

    }
    status->status = desc->node_builder.Finalize(&desc->graph->graph, &ret,
                                                 /*consume=*/true);

    if (status->status.ok()) {
      // Run shape inference function for newly added node.
      status->status = desc->graph->refiner.AddNode(ret);
    }
    if (status->status.ok()) {
      // Add the node to the name-to-node mapping.

  }

  @SuppressWarnings("JUnitIncompatibleType")
  public void testWhere() {
    assertEquals(new TypeToken<Map<String, Integer>>() {}, mapOf(String.class, Integer.class));
    // Type inference is doomed here: int.class is the same as Integer.class, so this is comparing
    // TypeToken<int[]> and TypeToken<Integer[]>.
    assertEquals(new TypeToken<int[]>() {}, arrayOf(int.class));

TF_CAPI_EXPORT extern void TF_RemoveAllControlInputs(TF_Graph* graph,
                                                     TF_Operation* op);

// Set if `graph` requires shape inference functions.
TF_CAPI_EXPORT extern void TF_SetRequireShapeInferenceFns(TF_Graph* graph,
                                                          bool require);

  }

  @SuppressWarnings("JUnitIncompatibleType")
  public void testWhere() {
    assertEquals(new TypeToken<Map<String, Integer>>() {}, mapOf(String.class, Integer.class));
    // Type inference is doomed here: int.class is the same as Integer.class, so this is comparing
    // TypeToken<int[]> and TypeToken<Integer[]>.
    assertEquals(new TypeToken<int[]>() {}, arrayOf(int.class));