}

  @Override
  public Iterator<E> iterator() {
    if (iterator == null) {
      // TODO: throw something else? Do we worry that people's code and tests
      // might be relying on this particular type of exception?
      throw new IllegalStateException();
    }
    try {
      return iterator;
    } finally {
      iterator = null;
    }
  }

    expectUnchanged();
  }

  @MapFeature.Require(value = SUPPORTS_REMOVE, absent = ALLOWS_NULL_KEY_QUERIES)
  public void testRemove_nullKeyQueriesUnsupported() {
    try {
      assertFalse(getMap().remove(null, v3()));
    } catch (NullPointerException tolerated) {
      // since the operation would be a no-op, the exception is not required
    }
    expectUnchanged();
  }

        bufferIndex += 2;

        return bufferIndex - start;
    }
    int readDataWireFormat( byte[] buffer, int bufferIndex, int len ) {
        int start = bufferIndex;
        ServerInfo1 e = null;

        results = new ServerInfo1[numEntries];
        for( int i = 0; i < numEntries; i++ ) {
            results[i] = e = new ServerInfo1();
            e.name = readString( buffer, bufferIndex, 16, false );

    }

    /*
    @Test
    public void testExclusionsInDependencies()
        throws Exception
    {
        MavenSession session = createMavenSession( null );
        MavenProject project = session.getCurrentProject();

        Exclusion exclusion = new Exclusion();
        exclusion.setGroupId( "org.apache.maven.its" );
        exclusion.setArtifactId( "a" );

        public Model mergeManagedDependencies(Model model) {
            DependencyManagement dependencyManagement = model.getDependencyManagement();
            if (dependencyManagement != null) {
                Map<Object, Dependency> dependencies = new HashMap<>();
                Map<Object, Object> context = Collections.emptyMap();

                for (Dependency dependency : model.getDependencies()) {

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

                if (methodDoc.getDescription() == null) {
                    throw new RuntimeException(String.format("Docbook content for '%s %s' does not contain a description paragraph.", classDoc.getName(), method.getSignature()));
                }
                PropertyDoc property = classDoc.findProperty(methodName);
                boolean multiValued = false;

	}

	result = dryDB.Not(DB.Where("manager IS NULL").Where("age >= ?", 20)).Find(&User{})
	if !regexp.MustCompile("SELECT \\* FROM .*users.* WHERE NOT \\(manager IS NULL AND age >= .+\\) AND .users.\\..deleted_at. IS NULL").MatchString(result.Statement.SQL.String()) {
		t.Fatalf("Build NOT condition, but got %v", result.Statement.SQL.String())
	}

	result = dryDB.Not(DB.Where("manager IS NULL").Or("age >= ?", 20)).Find(&User{})

        }
      };
    }

    @Override
    public BaseEncoding omitPadding() {
      return (paddingChar == null) ? this : newInstance(alphabet, null);
    }

    @Override
    public BaseEncoding withPadChar(char padChar) {
      if (8 % alphabet.bitsPerChar == 0
          || (paddingChar != null && paddingChar.charValue() == padChar)) {
        return this;
      } else {

        Build build = model.getBuild();

        if (build != null) {
            expand(build.getPlugins());

            PluginManagement pluginManagement = build.getPluginManagement();

            if (pluginManagement != null) {
                expand(pluginManagement.getPlugins());
            }
        }
    }