Boost Submission Checklist¶

Complete checklist for preparing sparse_spatial_hash for Boost submission.

Documentation Requirements¶

Essential Documentation¶

README.md - Project overview and quick start
LICENSE - Boost Software License 1.0
Tutorial - Step-by-step guide for new users
API Reference - Complete documentation of public interface
Installation Guide - How to integrate into projects
Examples - Working code demonstrating usage
Design Rationale - Why design choices were made

Additional Documentation¶

Performance Benchmarks - Measured performance data
Comparison with Alternatives - When to use what
Contributing Guidelines - How to contribute
Testing Documentation - How to run tests
Build Instructions - How to build examples and tests
Migration Guide - For users of similar libraries
FAQ - Common questions and answers

Code Requirements¶

Quality Standards¶

Header-only - No separate compilation required
Portable - Works on GCC 10+, Clang 12+, MSVC 2019+
C++20 compliant - Uses standard-compliant features only
No dependencies - Only standard library
Exception safety - Documented guarantees
Const-correctness - Query methods are const
Move semantics - Proper move/copy support
Allocator support - Custom allocator parameter

Code Style¶

Boost conventions - snake_case naming
Generic programming - Template-based design
Concepts - C++20 concepts for constraints
Range support - Works with std::ranges
Namespace - boost::spatial namespace
Comments - Documented complexity and behavior
No warnings - Clean compilation with -Wall -Wextra

Testing Requirements¶

Test Coverage¶

Unit tests - 31 comprehensive tests
100% pass rate - All tests passing
Edge cases - Boundary conditions tested
Multiple dimensions - 2D, 3D, 4D tested
Multiple topologies - Bounded, toroidal, infinite
Multiple types - float, double, custom types
Empty state - Zero entities handled correctly
Large scale - 10K+ entities tested

Platform Testing¶

Performance Testing¶

Benchmarks - Google Benchmark suite
Comparisons - vs R-tree, octree, naive
Scaling tests - 1K, 10K, 100K entities
Memory tests - Verify sparse storage
Update tests - Incremental vs rebuild

Build System¶

CMake Integration¶

CMakeLists.txt - Proper CMake configuration
find_package support - Install and find
FetchContent support - Easy integration
Header-only target - Interface library
Version information - Semantic versioning
Package config - boost-config.cmake integration

Optional Components¶

Tests buildable - -DBUILD_TESTS=ON
Examples buildable - -DBUILD_EXAMPLES=ON
Benchmarks buildable - -DBUILD_BENCHMARKS=ON
Documentation buildable - MkDocs setup

Community Engagement¶

Pre-Submission¶

Boost mailing list post - Initial announcement
Early feedback - Address concerns
Reddit r/cpp - Community awareness
GitHub Discussions - Enable and monitor
Blog post - Technical writeup

Review Preparation¶

Review manager - Identify and contact potential managers
Review schedule - Coordinate timing
Review announcement - Draft announcement email
Reviewer list - Identify potential reviewers

Repository Setup¶

GitHub Configuration¶

Public repository - Accessible to all
CI/CD - GitHub Actions for docs
Issue templates - Bug report, feature request
Pull request template - Contribution guidelines
README badges - C++20, License, Build status
Releases - Tagged versions
Changelog - Version history

Branch Strategy¶

main branch - Stable code
develop branch - Active development
gh-pages branch - Documentation site
Release branches - Version-specific

Legal and Licensing¶

License Compliance¶

Boost Software License - LICENSE_1_0.txt file
Copyright notices - In all source files
License headers - Standard Boost header
Contributor agreement - CLA if needed

Third-Party Code¶

No dependencies - Only standard library
Test frameworks - Catch2 (dev only, compatible license)
Benchmark frameworks - Google Benchmark (dev only, Apache 2.0)

Performance Claims¶

Verified Claims¶

Memory: 60,000x reduction - Documented and measured
Speed: 40x faster updates - Benchmarked
Complexity: O(1) insert - Proven
Complexity: O(k) query - Verified
Scalability: 10M particles - Tested

Benchmark Environment¶

Hardware specs - Documented
Compiler versions - Listed
Optimization flags - -O3, -march=native
Methodology - Explained
Reproducibility - Code available

API Stability¶

Public API¶

Stable interface - Ready for v1.0
Clear semantics - Documented behavior
Minimal surface - Only essential methods public
Deprecation policy - Plan for future changes

Breaking Changes¶

None planned - API is stable
If needed - Document migration path

Boost-Specific Requirements¶

Naming Conventions¶

Namespace: boost::spatial
snake_case - All identifiers
Type suffixes - _type, _tag, etc.
Underscore prefix - Private members

Design Patterns¶

Generic programming - Template-based
Customization points - Traits pattern
STL compatibility - Ranges, iterators
Exception safety - Strong/basic guarantees
Zero overhead - Compile-time polymorphism

Documentation Style¶

Complexity notation - O(n), O(log n), etc.
Exception safety - Strong, basic, nothrow
Preconditions - Documented
Postconditions - Documented
Thread safety - Documented (const is thread-safe)

Submission Materials¶

Required Documents¶

Library description - What it does
Use cases - Real-world applications
Comparison - vs existing solutions
Tutorial - How to use it
API docs - Complete reference
Tests - Comprehensive suite
Benchmarks - Performance data

Email Template¶

Subject: [Review Request] Boost.Spatial - Sparse Spatial Hash Grid

Dear Boost Community,

I would like to request a formal review for Boost.Spatial, a sparse spatial hash grid library for N-dimensional spatial indexing.

**Library Name**: Boost.Spatial
**Author**: DigiStar Contributors
**Category**: Containers, Algorithms, Data Structures
**Repository**: https://github.com/spinoza/sparse_spatial_hash
**Documentation**: https://spinoza.github.io/sparse_spatial_hash/

**Description**:
Boost.Spatial provides high-performance spatial indexing through sparse hash-based grids. It achieves 60,000x memory reduction vs dense grids and 40x faster updates than R-trees for dynamic scenes.

**Use Cases**:
- Game development (collision detection)
- Physics simulation (N-body, MD, SPH)
- Robotics (SLAM, obstacle detection)
- GIS (proximity queries)

**Why Boost?**:
- Fills gap in Boost (no hash-based spatial indexing)
- Complements Boost.Geometry R-tree
- Production-tested (10M+ particles)
- Modern C++20 design
- Zero dependencies

**Technical Highlights**:
- Header-only
- C++20 (concepts, ranges)
- Generic N-dimensional
- Multiple topologies (bounded, toroidal, infinite)
- STL-compatible
- Comprehensive tests (31 tests, 100% pass)

**Status**:
- Version 1.0.0
- All tests passing
- Documentation complete
- Ready for review

I am seeking a review manager to coordinate the 10-day formal review process.

Best regards,
[Author Name]

Post-Submission Tasks¶

During Review¶

Monitor mailing list - Respond to questions
Address concerns - Fix issues quickly
Provide examples - Help reviewers test
Accept feedback - Be open to changes

After Review¶

Review report - Read manager's summary
Address conditions - Implement required changes
Resubmit if needed - Mini-review for major changes
Integration - Work with Boost maintainers

Timeline Estimate¶

Pre-Submission Phase (Current - 2 months)¶

Submission Phase (2-6 weeks)¶

Post to Boost mailing list
Find review manager
Schedule review
Announce review

Review Phase (10 days)¶

Monitor feedback
Answer questions
Demonstrate features
Address concerns

Post-Review Phase (1-3 months)¶

Implement required changes
Mini-review if needed
Integration with Boost
Release preparation

Integration Phase (1-2 months)¶

Move to boostorg
CI/CD setup
Documentation integration
First Boost release

Total Timeline: 6-12 months from submission to Boost release

Current Status¶

Completed ✓¶

Core implementation
Documentation site
Test suite
Benchmark suite
Examples
License
GitHub repository
CI/CD for docs

In Progress ⏳¶

Platform testing (Windows, macOS)
Community feedback gathering
Finding review manager

Remaining ⏭¶

Formal submission to Boost mailing list
Review process
Post-review refinements
Integration into Boost

Next Steps¶

Complete platform testing - Test on Windows and macOS
Gather community feedback - Post to Boost mailing list informally
Find review manager - Identify and contact potential managers
Submit formal request - Once feedback addressed and manager found

Status: 95% ready for Boost submission Estimated submission date: Q2 2025 Target Boost version: 1.87 or 1.88 (2026)