Tree: f62bdc201b

main

test-refactor

Branches Tags

${ item.name }

Create tag ${ searchTerm }

Create branch ${ searchTerm }

from 'f62bdc201b'

${ noResults }

Commit Graph

3 Commits (f62bdc201b2ea22e9e414de0b2231417ee403fb2)

Author	SHA1	Message	Date
cinnaboot	03fb6a3563	Use burn_result velocity for tight tolerance assertion ... Replace post-burn+propagation velocity check with burn_result (pre-burn) velocity assertion. burn_result.velocity matches Python precalc to 15 decimal places (8448.412303782408344), enabling V_TOL (1e-6) instead of V_TOL*100 (1e-4). Update precalc script to output full-precision values for all expected constants, ensuring C++/Python agreement to double-precision limits.	2 months ago
cinnaboot	964eff30eb	Add burn_result capture to sim_engine.py and precalc script ... Add BurnResult dataclass to sim_engine.py (matches C++ struct). Update update_spacecraft() to capture pre-burn state vectors before applying delta-v, matching C++ BurnResult behavior. Update precalc_periapsis_burn.py to output burn_result values (pre-burn position, velocity, true_anomaly) for each burn event. Verification: Python and C++ agree to within ~50 microns floating-point noise.	2 months ago
cinnaboot	31dea749cf	refactor: test_periapsis_burn - Phase A+B ... Phase A: Extend sim_engine.py with maneuver trigger detection - Add TriggerType enum, Maneuver dataclass - Implement check_maneuver_trigger() matching C++ sub-step logic - Integrate maneuver execution into update_spacecraft() - Add maneuvers_from_config() for TOML parsing - Create precalc_periapsis_burn.py for expected value generation Phase B: Refactor test_periapsis_burn.cpp - Merge 4 TEST_CASEs into 1 SCENARIO with 5 SECTIONs - Shared fixture setup in SCENARIO body - Replace Approx() with WithinAbs() using named tolerance constants - Use precalculated expected values for quantitative assertions - Integer comparisons use REQUIRE() not WithinAbs() - Add BurnResult plan comment for future burn-time state capture TOML config converted to TOML 1.0 inline table syntax.	2 months ago