v2.1.0

• Support for integer and floating point lists: store 8-bit, 16-bit, 32-bit and 64-bit integer
  lists as well as 32-bit and 64-bit floating point lists (called "vectors" by ObjectBox).

  Use a typed_data class like Int16List, Uint16List or Float32List for large lists, it uses
  less memory and CPU. Otherwise just use a Dart number list.

  A simple example is a shape entity that stores a palette of RGB colors:

  @Entity()
  class Shape {
      @Id()
      int id = 0;
  
      // An array of RGB color values that are used by this shape.
      Int32List? palette;
  }

  This can also be useful to store vector embeddings produced by machine learning:

  @Entity()
  class ImageEmbedding {
      @Id()
      int id = 0;
  
      // Link to the actual image, e.g. on Cloud storage
      String? url;
  
      // The coordinates computed for this image (vector embedding)
      @Property(type: PropertyType.floatVector)
      List<double>? coordinates;
  }

  Note: for queries currently only the isNull and notNull conditions are supported.

• Changed PropertyType.char from a 8-bit signed integer to a 16-bit unsigned integer to match the
  ObjectBox database type.

• Fix put returning an incorrect error message in a rare case.

• Require at least Dart SDK 2.18 (shipped with Flutter 3.3.0).

• Let Store.awaitQueueCompletion actually wait on the async queue to become idle. It previously
  behaved like Store.awaitQueueSubmitted.

• Fix analysis event send failure breaking the code generator. #542

In this release objectbox_flutter_libs ships with objectbox-android 3.5.1 and ObjectBox pod 1.8.1.