• ArithmeticCoder:

  • Exposed buildContextModel method to allow customization of the context model creation.
  • Renamed _buildModels to _buildContextModelCached and updated to use buildContextModel.
  • Updated decode method to use models.eof symbol dynamically instead of hardcoded 256.

• ContextModel and ContextState:

  • Added support for order-3 context model:
    • Added ContextStateOrder3 with three previous symbols.
    • Added ContextModelOrder3 with a 3D Fenwick tree structure and a shrink factor to reduce memory usage.
  • Added order getter to ContextState and ContextModel to indicate the model order.
  • Added static maxContextOrder constant (value 3) to ContextModel.
  • Updated factory constructor in ContextModel to support order 3.
  • Updated all context state classes to implement order getter.
  • Updated all context model classes to implement order getter.
  • ContextModelOrder3:
    • Uses a 3D list of Fenwicks with size reduction on the 3rd dimension.

• Fenwick - reduce memory usage:
  • Updated _tree field initialization to use typed lists (Uint8List, Uint16List, Uint32List, Uint64List) based on the bit length of maxTotal for memory efficiency.
  • Added private static method _buildIntList to create appropriate typed list for frequency storage.
  • Adjusted computeMaxTotal to return (1 << (precision ~/ 2)) - 1 instead of 1 << (precision ~/ 2) to correctly compute maximum total frequency.
  • Changed _tree initialization from List.filled to use _buildIntList in constructor.

• Added context modeling support to ArithmeticCoder:

  • Added order parameter to specify finite-order Markov models (0, 1, or 2).
  • Integrated ContextModel abstraction with adaptive Fenwick trees per context.
  • Updated encoding and decoding to use context-dependent frequency models.
  • Added toString override to ArithmeticCoder showing order and model size.

• ContextModel:

  • Introduced abstract ContextModel with factory constructor for orders 0, 1, and 2.
  • Implemented ContextModelOrder0, ContextModelOrder1, and ContextModelOrder2 with corresponding ContextState classes.
  • Each model maintains Fenwick trees for symbol frequencies per context.
  • Adaptive frequency updates and context state transitions implemented.

• arithmetic_coder.dart:

  • Refactored to use ContextModel for symbol frequency management.
  • Encoding and decoding now maintain and update context states.
  • Added detailed comments on algorithm and context modeling.

• example/arithmetic_coder_example.dart:

  • Updated example to use ArithmeticCoder(order: 2).
  • Increased input repetition count for better compression demonstration.
  • Added output of compression ratio and integrity check.
  • Added helper _listEquals for byte list comparison.

• test/arithmetic_coder_test.dart:

  • Parameterized tests to run for orders 0, 1, and 2.
  • Removed redundant ArithmeticCoder instantiations inside tests.
  • Verified encode-decode correctness and compression ratio for all orders.

• pubspec.yaml:

  • Bumped version to 1.0.1.

1.0.0

• Initial version.