- [SharePoint](https://github.com/codelibs/fess-ds-sharepoint)
 - [Slack](https://github.com/codelibs/fess-ds-slack)

## Thèmes

 - [Simple](https://github.com/codelibs/fess-theme-simple)
 - [Classique](https://github.com/codelibs/fess-theme-classic)

## Ingest

 - [Logger](https://github.com/codelibs/fess-ingest-logger)
 - [NDJSON](https://github.com/codelibs/fess-ingest-ndjson)

## Scripts

 - [SharePoint](https://github.com/codelibs/fess-ds-sharepoint)
 - [Slack](https://github.com/codelibs/fess-ds-slack)

## Temas

 - [Simple](https://github.com/codelibs/fess-theme-simple)
 - [Classic](https://github.com/codelibs/fess-theme-classic)

## Ingestão

 - [Logger](https://github.com/codelibs/fess-ingest-logger)
 - [NDJSON](https://github.com/codelibs/fess-ingest-ndjson)

## Scripts

        Set<Feature<?>> missingFeatures = copyToSet(requirements.getPresentFeatures());
        missingFeatures.removeAll(features);
        logger.finer(
            Platform.format(
                "%s: skipping because these features are absent: %s", method, missingFeatures));
      }
      return false;
    }
    if (intersect(features, requirements.getAbsentFeatures())) {
      if (logger.isLoggable(FINER)) {

/**
 * An Access Control Entry (ACE) is an element in a security descriptor
 * such as those associated with files and directories. The Windows OS
 * determines which users have the necessary permissions to access objects
 * based on these entries.
 * <p>
 * To fully understand the information exposed by this class a description
 * of the access check algorithm used by Windows is required. The following

    }

    @Test
    public void test_constantsExist() {
        // Verify all expected configuration constants are defined
        SpnegoAuthenticator authenticator = new SpnegoAuthenticator();

        // These constants should be accessible (would fail at compile time if not)
        assertTrue(SpnegoAuthenticator.class.getName().contains("SpnegoAuthenticator"));

        // Verify authenticator is properly named (no typo)

   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   

        assertEquals("3", tokens.get(3).getTerm());
    }

    @Test
    public void testAnalyzeTokenPositions() {
        // Test that token positions are correct
        String text = "one two three";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertEquals(3, tokens.size());

<!--- The issue this PR addresses -->
<!-- Fixes #? -->

### Context
<!--- Why do you believe many users will benefit from this change? -->
<!--- Link to relevant issues or forum discussions here -->

### Contributor Checklist
- [ ] [Review Contribution Guidelines](https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md).

      expectedHashCode += hash(entry);
    }

    resetContainer(getSubjectGenerator().create(entries.toArray()));
    assertEquals(
        "A Map's hashCode() should be the sum of those of its entries (where "
            + "a null element in an entry counts as having a hash of zero).",
        expectedHashCode,
        getMap().hashCode());
  }

  private static int hash(Entry<?, ?> e) {

@GwtCompatible
final class NaturalOrdering extends Ordering<Comparable<?>> implements Serializable {
  static final NaturalOrdering INSTANCE = new NaturalOrdering();

  /*
   * TODO: b/287198172 - Consider eagerly initializing these, maybe making them static. But that
   * would lead to at least slighly more work at startup time.
   */
  @LazyInit private transient @Nullable Ordering<@Nullable Comparable<?>> nullsFirst;