Stop tracking session and AGENTS files

AGENTS.md

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-# AGENTS.md - Codebase Guidelines
-
-## Project Overview
-
-This repository contains research code for musical set theory and tonal space analysis, primarily implemented as a Jupyter notebook (`compact_sets_optimized_2.ipynb`). The code deals with harmonic series, pitch class sets, and related musical computations.
-
-## Build, Lint, and Test Commands
-
-### Jupyter Notebooks
-- **Run notebook**: `jupyter notebook compact_sets_optimized_2.ipynb` or `jupyter lab`
-- **Execute single cell**: Select cell and press `Shift+Enter`
-- **Run all cells**: `Cell > Run All` in Jupyter menu
-
-### Python Environment
-No formal build system or package manager is configured. To run Python code:
-```bash
-python3 -m notebook compact_sets_optimized_2.ipynb
-# or convert to script:
-jupyter nbconvert --to python compact_sets_optimized_2.ipynb
-```
-
-### Testing
-No test framework is configured. Manual testing is done within the notebook using assert statements and cell-by-cell verification.
-
-### Linting
-No linter is configured. For Python files, you may optionally use:
-```bash
-ruff check .
-# or
-pylint **/*.py
-```
-
-## Code Style Guidelines
-
-### General Principles
-- Write clear, readable code with meaningful variable names
-- Add comments for complex mathematical or music theory operations
-- Keep functions focused on single responsibilities
-
-### Python Code Style (for any .py files)
-- **Formatting**: Follow PEP 8
-- **Line length**: Maximum 100 characters
-- **Indentation**: 4 spaces (no tabs)
-- **Naming**:
-  - Functions/variables: `snake_case` (e.g., `hs_array_to_fr`, `expand_pitch`)
-  - Constants: `UPPER_SNAKE_CASE` (e.g., `MAX_OCTAVES`)
-  - Classes: `PascalCase` (if applicable)
-- **Imports**: Standard library first, then third-party
-  ```python
-  from itertools import chain, combinations
-  from math import prod, log
-  import networkx as nx
-  from fractions import Fraction
-  ```
-- **Type hints**: Use when beneficial for clarity
-- **Error handling**: Use specific exception types, provide meaningful messages
-
-### Jupyter Notebook Style
-- Keep cells relatively small and focused
-- Use markdown cells to explain music theory concepts
-- Name notebook cells for navigation (view > collapse pnl)
-- Restart kernel and run all before sharing
-
-### Key Patterns in This Codebase
-
-#### Pitch Representation
-- Pitches stored as tuples: `(octave, harmonic_series_index, ...)`
-- Example: `(0, 1, 5)` represents the 5th partial of the fundamental
-
-#### Functions
-- `hs_array_to_fr`: Convert harmonic series array to frequency ratio
-- `hs_array_to_cents`: Convert to cents (1200 per octave)
-- `expand_pitch`/`collapse_pitch`: Manage pitch octave normalization
-- `transpose_pitch`: Apply pitch transformations
-
-### File Organization
-- Main code: `compact_sets_optimized_2.ipynb`
-- Data: `sirens.txt` (likely reference data for sonic examples)
-- Audio: `compact_sets_play_siren.scd` (SuperCollider patch)
-
-## Notes for Agents
-
-1. **Backup before edits**: The notebook is complex; make backups before major changes
-2. **Verify calculations**: Musical intervals and frequency calculations should be verified
-3. **No CI/CD**: This is a research sketch repository; no automated pipelines exist
-4. **Dependencies**: Key libraries used include `networkx`, `itertools`, `math`, `fractions`
-
-## Extending This Codebase
-
-If adding Python files:
-1. Create a `src/` directory for modules
-2. Add `pyproject.toml` for package management if needed
-3. Consider adding `pytest` for testing
-4. Add type hints to new functions
-
-If adding notebooks:
-1. Follow existing naming: `{topic}_optimized_{version}.ipynb`
-2. Import from shared modules rather than duplicating code
-3. Use clear markdown headers