algomate 0.1.3

Professional algorithm selection companion with intelligent strategy selection, built-in benchmarking, and performance optimization.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Added

• QuickSort algorithm implementation
• HeapSort algorithm implementation
• Enhanced error handling with sealed classes
• Performance regression testing
• Contract testing for mocks
• Memory usage tracking and limits
• Fallback mechanisms for strategy failures

Changed

• Improved async support integration
• Enhanced documentation coverage

0.1.2 - 2025-01-24

Fixed

• Fixed repository URL format from kidpech-code to Kidpech-code to match actual GitHub repository
• Applied comprehensive code formatting using dart format across all 35 files
• Added 182 trailing commas for consistent code style compliance
• Resolved all pub.dev static analysis formatting issues

Technical Details

• Updated pubspec.yaml URLs to use correct GitHub username casing
• Applied automatic Dart formatting fixes for better code consistency
• Improved pub.dev scoring by addressing code formatting requirements
• All tests continue to pass (26/26) after formatting changes

0.1.1 - 2025-01-24

Fixed

• Fixed documentation comment angle bracket escaping issues for pub.dev lint compliance
• Shortened package description to meet pub.dev requirements (117 characters)
• Improved pub.dev scoring by addressing post-publication validation feedback

Technical Details

• Fixed HTML interpretation of angle brackets in documentation comments across all files
• Updated pubspec.yaml description for better search engine optimization
• Resolved all static analysis warnings related to documentation formatting

0.1.0 - 2025-09-01

Added

• 🎯 Intelligent Algorithm Selection: Context-aware strategy selection based on data characteristics
• ⚡ Performance-Focused Architecture: Zero-allocation hot paths with traditional loops
• 🏗️ Clean Architecture Implementation: Complete DDD + Clean Architecture with 4 distinct layers
• 📊 Built-in Algorithm Library:
  • 6 sorting strategies (InsertionSort, InPlaceInsertionSort, BinaryInsertionSort, MergeSort, IterativeMergeSort, HybridMergeSort)
  • 2 search strategies (LinearSearch, BinarySearch)
• 🔧 Comprehensive Infrastructure:
  • Statistical benchmarking with HarnessBenchmarkRunner, SimpleBenchmarkRunner, MockBenchmarkRunner
  • Isolate execution with DartIsolateExecutor, StubIsolateExecutor, MockIsolateExecutor
  • Flexible logging with ConsoleLogger, SilentLogger, BufferedLogger
• 🧪 Production-Ready Features:
  • Functional error handling with Result<T, Failure> pattern
  • Resource management for isolate execution
  • Configurable logging levels and statistics
• 🔄 Advanced Capabilities:
  • CPU-intensive operations in isolates with timeout support
  • Performance measurement and comparison tools
  • Custom strategy registration system
• 📝 Developer Experience:
  • Simple facade API (AlgoSelectorFacade.development())
  • Builder pattern configuration (AlgoMate.createSelector())
  • Comprehensive documentation and examples
  • Type-safe strategy storage and execution

Technical Details

• Architecture: Domain-Driven Design with Clean Architecture principles
• Layers: Domain (6 files), Application (4 files), Infrastructure (10 files), Interface (2 files)
• Dependencies: Flutter, Meta for annotations
• Development Dependencies: Flutter Test, Benchmark Harness, Flutter Lints
• Total Files: 25 implementation files
• Test Coverage: Basic unit tests with integration scenarios
• Performance: Optimized for speed with zero-allocation hot paths

Breaking Changes

• N/A (Initial release)

Deprecated

• N/A (Initial release)

Removed

• N/A (Initial release)

Fixed

• N/A (Initial release)

Security

• N/A (Initial release)