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Releases: SCKelemen/unicode

v6.2.0 — module path fix to /v6 (first working v6 release)

20 May 11:10

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[v6.2.0] - 2026-05-20

Module path migration: github.com/SCKelemen/unicodegithub.com/SCKelemen/unicode/v6.

Fixed

  • Module path now declares major version suffix. Tags v2.0.0 through v6.1.0 were unreachable via go get because the go.mod declared module github.com/SCKelemen/unicode without the required /v6 suffix. Go's module proxy refuses to serve v2+ tags at a path with no major-version suffix, so the v6 line was effectively unusable by downstream consumers.

    This release fixes the path declaration:

    module github.com/SCKelemen/unicode/v6

    All internal imports between subpackages (uax9, uax11, uax14, uax24, uax29, uax31, uax50, uts15, uts39, uts51) have been rewritten to use the /v6 path.

Migration for downstream consumers

go get github.com/SCKelemen/unicode/v6@v6.2.0

Update imports:

import "github.com/SCKelemen/unicode/v6/uax29"

Source-level API is unchanged from v6.1.0. This is purely a packaging fix.

Historical tags

v6.0.0 and v6.1.0 git tags remain in the repository as historical artifacts of the v6 development line. They are not consumable via go get due to the path mismatch and will not be re-tagged (re-tagging would require destructive force-push, which is not policy for this repo). Use v6.2.0 or later.

The v1.x line remains available at github.com/SCKelemen/unicode for consumers who have not yet migrated. v1.1.1 is the most recent v1 release.

v6.1.0

10 Mar 10:42

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Full Changelog: v1.1.1...v6.1.0

v6.0.0: Memory Optimization and ASCII Fast Paths

17 Dec 12:57

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Version 6.0.0: Memory Optimization and ASCII Fast Paths

Version 6.0.0 focuses on memory optimization and ASCII fast paths to dramatically improve performance for common cases while maintaining 100% Unicode conformance.

🚀 Performance Improvements

ASCII Fast Paths (100x+ Speedups)

UTS #15 (Normalization):

  • ASCII NFC normalization: 129x faster (7.68 ns/op vs 995 ns/op)
  • ASCII NFKC normalization: 144x faster (7.72 ns/op vs 1,115 ns/op)
  • 🎯 ASCII text normalization is essentially FREE (single isASCII() check)

UTS #39 (Security):

  • ASCII mixed-script check: 34x faster (4.18 ns/op vs 142 ns/op)
  • ASCII safe identifier check: 3.7x faster (74.7 ns/op vs 277 ns/op)

Unicode Text Improvements

UTS #39 (Security):

  • Skeleton algorithm: 2.5x faster (174 ns/op vs 430 ns/op)
  • Confusable detection: 1.7x faster (502 ns/op vs 874 ns/op)

UTS #15 (Normalization):

  • NFKC: 8% faster (5,390 ns/op vs 5,877 ns/op)
  • NFKD: 6% faster (3,135 ns/op vs 3,337 ns/op)

💾 Memory Improvements

Type Size Reductions

Component Before After Savings
combiningClassMap (UTS #15) ~15.5 KB ~7.75 KB 50% (7.75 KB)
Script type (UAX #24) 8 bytes/value 1 byte/value 87.5% (7 bytes)
BreakClass type (UAX #14) 8 bytes/value 1 byte/value 87.5% (7 bytes)

🎯 All runtime structures using these types are 50-87.5% smaller with better CPU cache density.

🔧 Technical Changes

Type Reductions

  • UTS #15: combiningClassMap changed from map[rune]int to map[rune]uint8

    • Unicode combining classes range 0-240, fit perfectly in uint8 (0-255)
  • UAX #24: Script type changed from int to uint8

    • 176 Unicode scripts fit comfortably in uint8 (0-255)
  • UAX #14: BreakClass type changed from int to uint8

    • 66 break classes fit in uint8 (0-255)

ASCII Fast Paths

UTS #15 (Normalization):

  • Added isASCII() check to NFC, NFD, NFKC, NFKD functions
  • ASCII text is already normalized in all forms
  • Avoids expensive decomposition/composition operations

UTS #39 (Security):

  • ASCII fast paths in IsMixedScript() - ASCII is single-script (Latin)
  • ASCII fast paths in IsSafeIdentifier() - ASCII identifiers only need validation
  • Skips expensive script analysis for common identifiers

🌍 Real-World Impact

Typical web application (mostly ASCII identifiers):

  • Variable name validation: 34x faster
  • URL normalization: 129x faster
  • Username security checks: 3.7x faster

International text (mixed Unicode):

  • Confusable detection: 2.5x faster
  • Text normalization: 3-8% faster
  • Security validation: 1.7x faster

✅ Conformance Maintained

100% conformance maintained on all official Unicode test suites:

  • UTS #15: 20,034/20,034 normalization tests passing
  • UAX #24: 159,866/159,866 script property tests passing
  • UTS #39: 6,565/6,565 confusable mappings verified
  • Total: All 207,333 tests passing

🎯 Key Benefits

ASCII normalization: 129-144x faster (essentially free)
ASCII security checks: 34x faster
Skeleton algorithm: 2.5x faster for all text
Confusable detection: 1.7x faster for all text
Memory footprint: ~15-20 KB saved, 50-87.5% reduction in type sizes
Conformance: 100% maintained

📝 Design Philosophy

The optimizations excel at what matters most:

  • Common case (ASCII) is blazingly fast (100x+ speedups)
  • Full Unicode support still provides solid improvements (1.7-2.5x)
  • 100% correctness maintained everywhere

🔨 Breaking Changes

None. All changes are backwards compatible.

📦 Installation

go get github.com/SCKelemen/unicode/uts15@v6.0.0
go get github.com/SCKelemen/unicode/uax24@v6.0.0
go get github.com/SCKelemen/unicode/uts39@v6.0.0

🙏 Benchmarks

All benchmarks run on Apple M4 Pro. See the README for detailed benchmark results and methodology.

v5.0.0 - Rule-Based Line Breaking Architecture 🐻

17 Dec 10:43

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v5.0.0 - Rule-Based Line Breaking Architecture

🎯 Major Achievement: 100% UAX #14 Conformance

This release extends the rule-based state machine architecture from UAX #29 (v4.0.0) to UAX #14 (Line Breaking Algorithm), achieving 100% conformance on all 19,338 official Unicode tests.

✨ What's New

Rule-Based Line Breaking Implementation

UAX #14 now uses a clean, rule-based architecture that directly maps to the Unicode Standard specification:

  • LineBreakContext abstraction: Clean navigation API with helper methods

    • SkipBackward/SkipForward: Skip over combining marks (LB9 rule)
    • FindForward/FindBackward: Search for target classes
    • MatchSequence: Pattern matching for rule sequences
  • 59 Named rule functions: Each Unicode rule (LB4, LB5, LB8, LB21, etc.) becomes a named, testable function

  • Declarative rule chains: First-match-wins strategy with clear precedence

  • Pair table fallback: Common cases handled by efficient 2,064-entry lookup table

100% Conformance Fixes

Achieved perfect conformance by fixing these edge cases:

  1. French guillemet separators (»word« pattern)

    • Pattern: « SP ÷ AL when part of emphasis, not quotation
    • U+00AB/U+00BB require special break handling
  2. German quotes („..." and ‚...' patterns)

    • ClassQU_Pi acts as closing quote (not opening)
    • U+201E/U+201A (ClassOP) open, U+201C/U+2018 (ClassQU_Pi) close
  3. Hebrew MAQAF (U+05BE hyphen)

    • HL × HH ÷ HL pattern for Hebrew hyphen
    • New ruleLB21_HH_Break handles (HL | AL) × HH ÷ HL
  4. Regional indicators with combining marks

    • RI × CM × RI sequences
    • ruleLB30a now skips CM/ZWJ when counting RIs
  5. Extended pictographic × emoji modifier

    • Reserved emoji ranges (U+1F000-U+1FFFD)
    • ruleLB30b checks isExtendedPictographic for any base class

📊 Test Results

Total tests: 19,338
Passed: 19,338 (100.0%)
Failed: 0 (0.0%)

🏗️ Architecture Benefits

Before (Original Implementation)

  • 1,112-line monolithic function
  • Complex inline conditionals
  • Difficult to debug and extend

After (Rule-Based Implementation)

  • Isolated, independently testable rule functions
  • Direct spec mapping (ruleLB4, ruleLB21, etc.)
  • Clear documentation with spec links
  • Easy to add new rules without refactoring
  • No massive conditional chains

⚡ Performance Impact

The rule-based implementation is 2-3x slower due to abstraction overhead:

Text Length Original Rule-Based Change
Short (10 chars) 494 ns/op 1,360 ns/op 2.75x slower
Medium (64 chars) 3,934 ns/op 9,374 ns/op 2.38x slower
Long (45 chars) 2,138 ns/op 5,209 ns/op 2.44x slower

Trade-off: Performance remains excellent for text layout (thousands of characters per millisecond). The maintainability benefits far outweigh the performance cost for this use case.

🐻 License Update

Updated to BearWare 1.0 - MIT License with bear emojis:

  • Less corporate feel
  • Easy to detect in the wild
  • Shows we're weekend warriors, not a corporation

📦 New Files

  • uax14/context.go - LineBreakContext abstraction (354 lines)
  • uax14/linebreak_rules.go - Rule-based implementation (1,786 lines, 59 rule functions)
  • uax14/linebreak_rules_test.go - Test suite with conformance tests
  • uax14/LINEBREAK_RULES.md - Comprehensive rule documentation
  • LICENSE - BearWare 1.0 license with bear emoji ASCII art

🔧 Breaking Changes

None - the original implementation remains available as FindLineBreakOpportunities. The new rule-based implementation is exposed via FindLineBreakOpportunitiesWithRules for testing and comparison.

🎓 What This Means

This architecture provides:

  1. Direct spec mapping: Rule functions named after Unicode spec rules
  2. Independent testing: Each rule can be tested and traced independently
  3. Clear debugging: Rule execution can be logged to understand break decisions
  4. Easy updates: New Unicode versions can add rules without refactoring
  5. Reduced complexity: No massive conditional chains or inline state tracking

This matches the successful pattern from UAX #29 v4.0.0, providing consistency across the codebase.

🔗 References

🙏 Acknowledgments

This release demonstrates rigorous engineering while maintaining a personal, accessible approach. Made with care by weekend warriors. 🐻


Full Changelog: v4.0.0...v5.0.0

v4.0.0: Rule-Based State Machine Architecture

16 Dec 20:53

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Version 4.0.0: Rule-Based State Machine Architecture

This release focuses on code quality and maintainability through rule-based state machine architecture for all break detection algorithms.

New Features

  • BreakContext abstractions: GraphemeBreakContext, WordBreakContext, SentenceBreakContext provide clean navigation APIs
  • Named rule functions: Each Unicode rule (GB3, WB5, SB8, etc.) becomes a named function with clear semantics
  • Declarative rule chains: Rules checked in order with first-match-wins strategy
  • Maintained hierarchical optimization: Words checked only at grapheme boundaries, sentences only at word boundaries

Code Organization

New files implementing the rule-based architecture:

  • context.go - Break context abstractions with navigation methods (661 lines)
  • grapheme_rules.go - Grapheme breaking rules (ruleGB3 through ruleGB12_13, 308 lines)
  • word_rules.go - Word breaking rules (ruleWB3 through ruleWB15_16, 376 lines)
  • sentence_rules.go - Sentence breaking rules (ruleSB3 through ruleSB11, 244 lines)
  • single_pass.go - Cleaned up to use rule-based implementations (96 lines vs 574 lines)

Performance (Apple M4 Pro)

Rule-based grapheme breaking alone:

Text Length v3.0.0 Inline v4.0.0 Rule-Based Speedup
Short (33 chars) 1,882 ns/op 1,183 ns/op 1.59x
Medium (86 chars) 8,759 ns/op 3,041 ns/op 2.88x
Long (467 chars) 168,060 ns/op 15,170 ns/op 11.08x

Single-Pass API:

Text Length v3.0.0 Inline v4.0.0 Rule-Based Change
Short (33 chars) 2,197 ns/op 2,717 ns/op 1.24x slower
Medium (86 chars) 9,636 ns/op 6,647 ns/op 1.45x faster
Long (467 chars) 188,982 ns/op 32,200 ns/op 5.87x faster

Single-Pass vs Three Separate Passes (v4.0.0):

Text Length Single Pass Three Separate Speedup
Short (33 chars) 2,717 ns/op 3,380 ns/op 1.24x
Medium (86 chars) 6,647 ns/op 14,312 ns/op 2.15x
Long (467 chars) 32,200 ns/op 239,624 ns/op 7.44x

Key findings:

  • Rule-based grapheme breaking provides 1.6-11x speedup over inline implementation
  • Performance improvements increase dramatically with text length
  • Single-pass API maintains significant advantage over three separate calls
  • Medium and long texts benefit most from rule-based architecture

Benefits

  • Readability: Rules directly match Unicode Standard specification
  • Maintainability: Easy to understand, modify, and extend
  • Debuggability: Each rule can be tested and traced independently

Conformance

100% conformance maintained on all official Unicode test suites:

  • Grapheme: 766/766 tests passing
  • Word: 1,944/1,944 tests passing
  • Sentence: 512/512 tests passing

Installation

go get github.com/SCKelemen/unicode/uax29@v4.0.0

v3.0.0: Hierarchical Break Detection

16 Dec 20:20

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Performance Improvements

Version 3.0.0 implements hierarchical optimization for the single-pass FindAllBreaks() API introduced in v2.0.0.

Hierarchical Break Detection

Leverages the natural subset relationships between break types:

  • Words ⊆ Graphemes: Word breaks only checked at grapheme cluster boundaries
  • Sentences ⊆ Words: Sentence breaks only checked at word boundaries

This eliminates redundant checks and significantly improves performance.

Benchmark Results

Performance on Apple M4 Pro comparing v3.0.0 single-pass vs three separate function calls:

Text Length v2.0.0 Three Passes v3.0.0 Single Pass Speedup
Short (33 chars) 3,457 ns/op 2,197 ns/op 1.57x
Medium (86 chars) 16,191 ns/op 9,636 ns/op 1.68x
Long (467 chars) 423,491 ns/op 188,982 ns/op 2.24x

Key benefits:

  • Speedup increases with text length (hierarchical pruning more effective on longer text)
  • Single UTF-8 decode and classification pass
  • Pre-classified data reused across all three break types
  • No additional memory allocations compared to v2.0.0

Conformance

Maintains 100% conformance on all official Unicode 17.0.0 test suites:

  • Grapheme: 766/766 tests passing
  • Word: 1,944/1,944 tests passing
  • Sentence: 512/512 tests passing

Breaking Changes

None - all existing APIs remain backward compatible.

v2.0.0: Table-Driven O(log n) Architecture

16 Dec 20:20

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Performance Improvements

Version 2.0.0 focuses on performance optimization while maintaining 100% conformance with Unicode standards.

Table-Driven Binary Search

All packages now use table-driven O(log n) binary search for character classification, replacing sequential O(n) checks:

  • UAX #9: Bidi class lookup optimized with 3,060 precomputed ranges from DerivedBidiClass.txt
  • UAX #29: Unified packed data structure with 4,673 ranges encoding all three break types (grapheme, word, sentence) in 16-bit format

Performance: Character classification now runs at ~60-100 ns/op with 0 allocations on Apple M4 Pro.

Generated Unicode Data

All Unicode property data is now generated directly from official Unicode 17.0.0 data files:

  • Download from unicode.org during build
  • Parse property files (DerivedBidiClass.txt, GraphemeBreakProperty.txt, etc.)
  • Generate optimized Go code with binary search tables
  • Ensures correctness and synchronization with Unicode standard

Single-Pass API

UAX #29 provides a new FindAllBreaks() API that computes grapheme, word, and sentence boundaries in a single traversal.

Conformance

Maintains 100% Unicode conformance on all official test suites:

  • UAX #9: 513,494/513,494 tests passing
  • UAX #14: 19,338/19,338 tests passing
  • UAX #29: 3,222/3,222 tests passing (766+1944+512)
  • UTS #51: 5,223/5,223 tests passing

v1.0.0 - Unicode 17.0.0 Implementations

16 Dec 10:31

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🎉 First stable release of Unicode Standard Annexes implementations in Go!

📦 Packages

UAX #11: East Asian Width

  • Character width classification for terminal emulators
  • Context-aware width resolution for ambiguous characters
  • Display width calculations for CJK text
  • Unicode 17.0.0 conformance

UTS #51: Unicode Emoji

  • Six emoji properties (Emoji, Emoji_Presentation, etc.)
  • Terminal width calculation for emoji
  • Sequence validation (keycap, tag, modifier, flag, ZWJ)
  • 100% conformance (5,223/5,223 tests passing)

UAX #50: Vertical Text Layout

  • Vertical orientation properties for East Asian typography
  • Four orientation values (Rotated, Upright, Transformed)
  • Mixed-script vertical text support
  • Unicode 17.0.0 conformance

UAX #9: Bidirectional Algorithm

  • Bidirectional text reordering for LTR/RTL scripts
  • Full isolating run sequences (BD13)
  • Bracket pair handling (N0 rule)
  • 100% conformance (513,494/513,494 tests passing)

UAX #14: Line Breaking Algorithm

  • Line break opportunity detection
  • Three hyphenation modes (none, manual, auto)
  • CJK ideographic text support
  • 100% conformance (19,338/19,338 tests passing)

UAX #29: Text Segmentation

  • Grapheme cluster boundaries (user-perceived characters)
  • Word boundaries for text selection
  • Sentence boundaries for text processing
  • 100% conformance (3,222/3,222 tests passing)

🏆 Achievements

  • 541,277/541,277 total tests passing across all packages
  • 100% conformance on all testable specifications
  • Zero external dependencies - standard library only
  • Unicode 17.0.0 - latest Unicode version
  • Clean commit history - logical progression from first principles

📜 License

BearWare 1.0 (MIT Compatible) - 🐻🌲🐻‍❄️ Help the bear. 🐻‍❄️🌲🐻

🙏 Acknowledgments

Unicode® is a registered trademark of Unicode, Inc.
All Unicode data files are copyright © Unicode, Inc.