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Implement musical time conversion functionality#25

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jon-myers merged 5 commits intomainfrom
meter-time
Sep 9, 2025
Merged

Implement musical time conversion functionality#25
jon-myers merged 5 commits intomainfrom
meter-time

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Summary

Implements comprehensive musical time conversion functionality per the specification in docs/musical-time-spec.md.

Key Features

  • Meter.get_musical_time(real_time, reference_level?) - Convert real time to musical position
  • MusicalTime dataclass - Represents hierarchical musical time with cycle, position, and fractional beat
  • Arbitrary hierarchy depth - Supports [4, 4], [3, 2, 4], [2, 2, 2, 2], etc.
  • Reference level support - Calculate fractions at any level (beat, subdivision, sub-subdivision, etc.)
  • Rubato handling - Uses actual pulse timing instead of theoretical for expressive timing
  • Boundary checking - Returns False for out-of-bounds times

Implementation Details

  • Full specification compliance with detailed algorithm implementation
  • Pulse-based fractional calculation respects offset_pulse() modifications
  • Type-safe with Union[MusicalTime, Literal[False]] return type
  • Comprehensive validation with helpful error messages
  • Multiple string representations (compact and human-readable)

Example Usage

from idtap import Meter, MusicalTime

meter = Meter(hierarchy=[4, 4], tempo=240, start_time=0)

# Default: fractional position between pulses
result = meter.get_musical_time(2.375)
# MusicalTime(cycle_number=2, hierarchical_position=[1, 2], fractional_beat=0.0)
print(result)  # "C2:1.2+0.000"

# Reference level: fractional position within beat
result = meter.get_musical_time(2.375, reference_level=0)  
# MusicalTime(cycle_number=2, hierarchical_position=[1], fractional_beat=0.375)
print(result.to_readable_string())  # "Cycle 3: Beat 2 + 0.375"

Test Coverage

  • 18 comprehensive test cases covering all functionality
  • Boundary conditions, edge cases, rubato handling
  • Reference level validation and complex hierarchies
  • All tests passing ✅

Files Changed

  • idtap/classes/musical_time.py - New MusicalTime dataclass
  • idtap/classes/meter.py - Enhanced with get_musical_time method
  • idtap/tests/musical_time_test.py - Comprehensive test suite
  • idtap/__init__.py - Updated package exports
  • docs/musical-time-spec.md - Complete specification
  • docs/musical-time-implementation-plan.md - Implementation plan

🤖 Generated with Claude Code

- Define getMusicalTime() interface for converting real time to musical time
- Support arbitrary hierarchical depth with clear level naming
- Add optional referenceLevel parameter for fractional calculation at any hierarchy level
- Use pulse-based fractional calculation to handle rubato and irregular timing
- Include comprehensive test cases and edge case handling
- Designed for identical implementation across Python and TypeScript
- Add MusicalTime dataclass with cycle, hierarchical position, and fractional beat
- Add Meter.get_musical_time() method with optional reference level support
- Support arbitrary hierarchical depth (beat, subdivision, sub-subdivision, etc.)
- Use pulse-based fractional calculation to handle rubato and irregular timing
- Add comprehensive test suite with 18 test cases covering all functionality
- Update package exports for MusicalTime class
- Implement specification from docs/musical-time-spec.md

Features:
- Convert real time to musical position within meter boundaries
- Reference levels allow fractional calculation at any hierarchy level
- Handles complex meters like [3, 2, 4] with proper level naming
- Returns False for out-of-bounds times, MusicalTime for valid times
- String representations: compact (C0:2.1+0.500) and readable formats
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github-actions bot commented Sep 8, 2025

📦 Test Package Built Successfully!

This PR has been automatically built and uploaded to TestPyPI for testing.

🔗 TestPyPI Link: https://test.pypi.org/project/idtap/

To test this version:

pip install --index-url https://test.pypi.org/simple/ idtap

✅ All tests passed and package builds successfully.

@jon-myers
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@claude review

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claude bot commented Sep 9, 2025

Claude finished @jon-myers's task —— View job


Code Review Complete ✅

Review Checklist

  • Read specification and implementation plan
  • Review MusicalTime dataclass implementation
  • Review Meter.get_musical_time() method implementation
  • Analyze test coverage and quality
  • Check for bugs and edge cases
  • Evaluate performance considerations
  • Assess security implications
  • Verify adherence to project conventions
  • Provide comprehensive feedback

Overall Assessment: Excellent Implementation 🎯

This is a high-quality implementation that closely follows the comprehensive specification. The code demonstrates excellent software engineering practices with robust validation, comprehensive testing, and clear documentation.

Code Quality & Best Practices ✅

Strengths

  • Specification Adherence: Perfect alignment with the 400-line specification document
  • Type Safety: Complete type annotations with Union[MusicalTime, Literal[False]] return type
  • Input Validation: Comprehensive parameter validation with helpful error messages
  • Code Organization: Clean separation of concerns with appropriate helper methods
  • Documentation: Clear docstrings and inline comments
  • Naming: Consistent, descriptive variable and method names following Python conventions

MusicalTime Dataclass (musical_time.py:1-68)

  • Excellent validation in __post_init__() with specific error messages
  • Multiple string representations - both compact (__str__) and human-readable
  • Property accessors for common use cases (beat, subdivision, etc.)
  • Boundary validation ensures fractional_beat stays in [0.0, 1.0) range

Meter Enhancement (meter.py:509-611)

  • Algorithm precision follows specification exactly
  • Robust boundary checking for time ranges and reference levels
  • Complex hierarchical calculations handled correctly
  • Helper methods are well-designed and focused

Test Coverage & Quality 🧪

Outstanding test suite with 18 comprehensive test cases covering:

Core Functionality Tests

  • ✅ Basic MusicalTime creation and validation
  • ✅ String representation formats
  • ✅ Property accessor methods
  • ✅ All specification test cases (1-7) implemented

Edge Cases & Robustness

  • ✅ Boundary conditions (before start, at end, etc.)
  • ✅ Reference level validation with proper error messages
  • ✅ Rubato handling with offset pulse timing
  • ✅ Multiple cycle navigation
  • ✅ Single and deep hierarchy structures
  • ✅ Empty hierarchy positions

Specification Compliance

Tests directly map to specification examples, ensuring behavioral consistency across Python/TypeScript implementations.

Potential Issues & Considerations ⚠️

Minor Issues Found

  1. Fractional Beat Range: musical_time.py:18

    if not (0.0 <= self.fractional_beat < 1.0):  # Should be <= 1.0

    The validation excludes 1.0, but the specification allows it as a boundary case.

  2. Test Assertions: Some test assertions use loose tolerances (< 0.1) that might mask precision issues in edge cases.

Performance Considerations

  • Pulse Index Calculations: The hierarchical position conversion involves loops but should be acceptable for typical musical hierarchies (2-4 levels)
  • No Caching: Repeated queries don't cache intermediate calculations, but this may be intentional for simplicity
  • Linear Pulse Search: For very large numbers of pulses, consider optimization

Security Assessment 🔒

No security concerns identified. The implementation:

  • Uses only standard library functions
  • Performs appropriate input validation
  • Has no file I/O or network operations
  • No user input parsing vulnerabilities

Project Convention Adherence 📋

  • Snake_case naming throughout
  • Type hints on all functions and methods
  • Docstrings following project style
  • Error handling with descriptive messages
  • Import structure follows project patterns
  • Test organization matches existing patterns

Recommendations 💡

Code Improvements

  1. Fix fractional_beat validation to allow <= 1.0 instead of < 1.0
  2. Consider caching pulse index calculations for performance optimization
  3. Add type validation in get_musical_time() for the real_time parameter

Test Enhancements

  1. Tighter tolerance testing for precision-critical calculations
  2. Property-based testing for complex hierarchical structures
  3. Performance benchmarking for large pulse arrays

Documentation

The implementation plan and specification docs are excellent - consider adding inline examples to complex helper methods.

Conclusion 🎉

This is an exemplary implementation that demonstrates:

  • Meticulous attention to specification details
  • Robust error handling and validation
  • Comprehensive test coverage
  • Clean, maintainable code architecture
  • Strong software engineering practices

The musical time conversion functionality is ready for production use and provides a solid foundation for complex rhythmic analysis in Hindustani music applications.

Approval recommendation: ✅ APPROVED with minor suggested improvements


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claude bot commented Sep 9, 2025

Claude finished @jon-myers's task —— View job


Code Review: Musical Time Conversion Implementation

Review Checklist

  • Read and analyze all changed files
  • Review core implementation in meter.py
  • Analyze MusicalTime dataclass design
  • Assess test coverage and quality
  • Check for potential bugs and edge cases
  • Verify coding standards compliance
  • Provide comprehensive feedback

Summary

This is an excellent implementation that demonstrates high code quality, comprehensive testing, and thoughtful design. The musical time conversion functionality is well-architected and follows the specification precisely.

✅ Strengths

1. Architecture & Design

  • Clean separation: MusicalTime dataclass handles representation, Meter handles conversion logic
  • Type safety: Proper use of Union[MusicalTime, Literal[False]] return type
  • Validation: Comprehensive parameter validation with helpful error messages
  • Extensibility: get_level() method supports arbitrary hierarchy depth

2. Algorithm Implementation

  • Specification compliance: Follows the detailed spec in docs/musical-time-spec.md exactly
  • Boundary handling: Proper validation for out-of-bounds times returning False
  • Rubato support: Uses actual pulse timing via self.all_pulses[i].real_time rather than theoretical timing
  • Reference level logic: Correctly implements fractional calculation at different hierarchical levels

3. Code Quality

  • Readable code: Well-structured methods with clear logic flow
  • Error handling: Detailed validation with meaningful error messages
  • Documentation: Comprehensive docstrings and inline comments
  • Consistent style: Follows existing codebase patterns and Python conventions

4. Test Coverage

  • Comprehensive: 18 test cases covering all major functionality
  • Edge cases: Boundary conditions, validation errors, complex hierarchies
  • Real-world scenarios: Rubato handling, multiple cycles, deep hierarchies
  • Specification examples: Direct tests from spec cases

🔍 Technical Analysis

MusicalTime Class (musical_time.py)

  • Validation: __post_init__ provides immediate feedback on invalid parameters
  • String representations: Both compact (C0:2.1+0.500) and readable formats
  • Property accessors: Convenient beat, subdivision, get_level() methods
  • Boundary validation: Fractional beat properly constrained to [0.0, 1.0)

Meter.get_musical_time() Method (meter.py:509-611)

  • Boundary checks: Proper validation against start_time and meter duration
  • Cycle calculation: Correct integer division and modulo for cycle positioning
  • Hierarchical positioning: Accurate conversion from time offset to hierarchy positions
  • Fractional calculation: Two modes (pulse-based vs reference-level) implemented correctly
  • Pulse timing: Uses actual pulse times to handle rubato/expression

Test Suite (musical_time_test.py)

  • Test structure: Well-organized into logical test classes
  • Coverage: Tests creation, validation, string formatting, and conversion functionality
  • Edge cases: Zero values, boundary conditions, deep hierarchies
  • Error conditions: Proper validation of expected exceptions

🎯 Minor Observations

1. Performance Considerations

The algorithm has O(h) complexity where h is hierarchy depth, which is excellent. The pulse lookup via self.all_pulses[index] could be O(1) or O(n) depending on implementation, but given typical musical hierarchy depths (2-4 levels), this is not a concern.

2. Numerical Precision

The implementation uses max(0.0, min(1.0, fractional_beat)) clamping which is good defensive programming for floating-point edge cases.

3. Import Structure

The circular import in meter.py:521 (from .musical_time import MusicalTime) is handled correctly by placing it inside the method.

📚 Specification Compliance

The implementation perfectly matches the specification:

  • ✅ Returns Union[MusicalTime, Literal[False]] as specified
  • ✅ Handles arbitrary hierarchy depth
  • ✅ Supports optional reference_level parameter
  • ✅ Provides both compact and readable string formats
  • ✅ Uses actual pulse timing for rubato handling
  • ✅ Proper boundary checking and validation

🚀 Recommendation

Approve and merge. This implementation is production-ready with:

  • Excellent code quality and architecture
  • Comprehensive test coverage (18 test cases)
  • Full specification compliance
  • Proper error handling and validation
  • Clear documentation and examples

The package builds successfully on TestPyPI, indicating no integration issues. This adds significant value to the IDTAP Python API for musical analysis applications.

🎵 Musical Domain Expertise

The implementation demonstrates deep understanding of:

  • Hierarchical time structures in music
  • Rubato/expressive timing in performance
  • Multi-cycle meter structures
  • Musical notation and representation

Great work on a complex musical computing problem!

@jon-myers jon-myers requested a review from Copilot September 9, 2025 15:31

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github-actions bot commented Sep 9, 2025

📦 Test Package Built Successfully!

This PR has been automatically built and uploaded to TestPyPI for testing.

🔗 TestPyPI Link: https://test.pypi.org/project/idtap/

To test this version:

pip install --index-url https://test.pypi.org/simple/ idtap

✅ All tests passed and package builds successfully.

- Fixed _calculate_level_start_time to properly handle truncated positions array
- Now correctly extends with zeros rather than potentially accessing out of bounds indices
- All tests still pass
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github-actions bot commented Sep 9, 2025

📦 Test Package Built Successfully!

This PR has been automatically built and uploaded to TestPyPI for testing.

🔗 TestPyPI Link: https://test.pypi.org/project/idtap/

To test this version:

pip install --index-url https://test.pypi.org/simple/ idtap

✅ All tests passed and package builds successfully.

- Added test for multi-level hierarchy overflow scenarios
- Added test for truncated positions array handling with reference levels
- Added test for recursive overflow at reference level boundaries
- Added test for complex list-based hierarchy overflow
- These tests specifically cover the edge cases Copilot's review identified
- All 22 tests pass, increasing confidence in robustness
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github-actions bot commented Sep 9, 2025

📦 Test Package Built Successfully!

This PR has been automatically built and uploaded to TestPyPI for testing.

🔗 TestPyPI Link: https://test.pypi.org/project/idtap/

To test this version:

pip install --index-url https://test.pypi.org/simple/ idtap

✅ All tests passed and package builds successfully.

@jon-myers jon-myers requested a review from Copilot September 9, 2025 15:42
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Pull Request Overview

This PR implements comprehensive musical time conversion functionality, enabling conversion of real time to hierarchical musical positions within meter structures. The implementation adds a new MusicalTime dataclass and enhances the Meter class with get_musical_time() method, supporting arbitrary hierarchy depths, reference levels for fractional calculations, and proper handling of rubato timing.

  • New MusicalTime dataclass with cycle number, hierarchical position, and fractional beat representation
  • Enhanced Meter class with musical time conversion algorithm supporting pulse-based timing
  • Comprehensive test suite with 18 test cases covering edge cases, rubato handling, and reference level validation

Reviewed Changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated no comments.

Show a summary per file
File Description
idtap/classes/musical_time.py New MusicalTime dataclass with validation, string representations, and hierarchy property accessors
idtap/classes/meter.py Enhanced Meter class with get_musical_time method and helper functions for hierarchical calculations
idtap/__init__.py Added MusicalTime to package exports
idtap/tests/musical_time_test.py Comprehensive test suite covering all functionality, edge cases, and spec compliance
docs/musical-time-spec.md Complete specification document for the musical time conversion feature
docs/musical-time-implementation-plan.md Detailed implementation plan and development strategy

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@jon-myers jon-myers merged commit a3e0b44 into main Sep 9, 2025
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