v1.0.2

• 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.