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rUvandClaude Opus 4.5
1b6a1971f7
- Reorganize v3/ into implementation/ subfolders: - planning/, architecture/, migration/, integration/ - security/, adrs/, research/, swarm-plans/ - Add 15-agent concurrent swarm implementation plans: - SWARM-OVERVIEW.md: Hierarchical mesh topology, 4 phases - AGENT-SPECIFICATIONS.md: 15 agent configs with capabilities - TDD-LONDON-SCHOOL-PLAN.md: Mock-first TDD methodology - BENCHMARK-OPTIMIZATION.md: Performance targets (2.49x-7.47x) - DEPLOYMENT-PLAN.md: Release strategy, CI/CD, rollback - GITHUB-ISSUE-TRACKING.md: Issue workflow with agent replies - Update .claude/settings.json with proper hooks format - Add bash aliases for claude --dangerously-skip-permissions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
85 lines
3.1 KiB
Python
85 lines
3.1 KiB
Python
#!/usr/bin/env python
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"""Test script to reproduce the separability_matrix bug for nested CompoundModels."""
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import sys
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import os
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# Add the local astropy to path
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sys.path.insert(0, '/workspaces/claude-code-flow/astropy_fix')
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from astropy.modeling import models as m
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from astropy.modeling.separable import separability_matrix
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import numpy as np
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def test_nested_compound_models():
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"""Test separability matrix for nested compound models."""
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# Create simple compound model
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cm = m.Linear1D(10) & m.Linear1D(5)
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# Test 1: Simple compound model (should be diagonal)
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print("Test 1: Simple compound model (Linear1D & Linear1D)")
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print("cm = m.Linear1D(10) & m.Linear1D(5)")
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result1 = separability_matrix(cm)
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print("Result:")
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print(result1)
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print("Expected: diagonal matrix")
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print("array([[ True, False],")
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print(" [False, True]])")
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print()
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# Test 2: Complex model with direct combination
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print("Test 2: Complex model (Pix2Sky_TAN() & Linear1D & Linear1D)")
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print("m.Pix2Sky_TAN() & m.Linear1D(10) & m.Linear1D(5)")
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result2 = separability_matrix(m.Pix2Sky_TAN() & m.Linear1D(10) & m.Linear1D(5))
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print("Result:")
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print(result2)
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print("Expected: Block diagonal")
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print("array([[ True, True, False, False],")
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print(" [ True, True, False, False],")
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print(" [False, False, True, False],")
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print(" [False, False, False, True]])")
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print()
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# Test 3: Nested compound model (THE BUG)
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print("Test 3: Nested compound model (Pix2Sky_TAN() & cm)")
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print("m.Pix2Sky_TAN() & cm where cm = m.Linear1D(10) & m.Linear1D(5)")
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result3 = separability_matrix(m.Pix2Sky_TAN() & cm)
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print("Result:")
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print(result3)
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print("Expected (should be same as Test 2):")
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print("array([[ True, True, False, False],")
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print(" [ True, True, False, False],")
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print(" [False, False, True, False],")
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print(" [False, False, False, True]])")
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print()
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# Check if results match expected
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print("=" * 60)
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print("VERIFICATION:")
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# Expected results
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expected1 = np.array([[True, False], [False, True]])
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expected2 = np.array([[True, True, False, False],
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[True, True, False, False],
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[False, False, True, False],
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[False, False, False, True]])
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expected3 = expected2 # Should be the same as expected2
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# Check Test 1
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test1_pass = np.array_equal(result1, expected1)
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print(f"Test 1 {'PASSED' if test1_pass else 'FAILED'}")
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# Check Test 2
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test2_pass = np.array_equal(result2, expected2)
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print(f"Test 2 {'PASSED' if test2_pass else 'FAILED'}")
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# Check Test 3
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test3_pass = np.array_equal(result3, expected3)
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print(f"Test 3 {'PASSED' if test3_pass else 'FAILED'} - This is the bug!")
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if not test3_pass:
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print("\nBUG CONFIRMED: Nested compound models produce incorrect separability matrix")
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print("The last two columns show True, True instead of True, False and False, True")
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if __name__ == "__main__":
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test_nested_compound_models() |