Closed ziofil closed 1 month ago
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⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪ |
🏅 Score: 95 |
🧪 PR contains tests |
🔒 No security concerns identified |
⚡ Recommended focus areas for review Potential Performance Impact The reshaping operation might have a slight performance impact. Verify if this is necessary for all cases or if there's a more efficient way to handle the broadcasting. |
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Category | Suggestion | Score |
Enhancement |
Enhance test coverage by verifying the correctness of the function's output values___ **Add assertions to check the actual values of the result, not just the shapes, toensure the function is producing correct output.** [tests/test_physics/test_gaussian_integrals.py [308-311]](https://github.com/XanaduAI/MrMustard/pull/508/files#diff-f64960aa126fc9053f056b46e568e9a1cd22ccb908dbccad294f7d67a1fbbb1bR308-R311) ```diff -res = complex_gaussian_integral_1((A, b, c), [0], [1]) # pylint: disable=pointless-statement +res = complex_gaussian_integral_1((A, b, c), [0], [1]) assert res[0].shape == (4, 2, 2) assert res[1].shape == (4, 2) assert res[2].shape == (4, 2, 2) +assert np.allclose(res[0], expected_A_result) +assert np.allclose(res[1], expected_b_result) +assert np.allclose(res[2], expected_c_result) ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 8Why: Adding assertions to check the actual values of the result, not just the shapes, significantly improves test coverage and ensures the function produces correct outputs. This enhancement is important for verifying the function's correctness. | 8 |
Replace reshape operation with broadcast for better compatibility and potential performance improvement___ **Consider usingmath.broadcast_to instead of math.reshape to ensure compatibility with different tensor libraries and potentially improve performance.** [mrmustard/physics/gaussian_integrals.py [383-387]](https://github.com/XanaduAI/MrMustard/pull/508/files#diff-a7b779ea109bae98fb3be0cb7ed5f6dba566d967f72666d24fbd01015f7962dcR383-R387) ```diff -c_post = c * math.reshape( +c_post = c * math.broadcast_to( math.sqrt(math.cast((-1) ** m / det_M, "complex128")) * math.exp(-0.5 * math.sum(bM * math.solve(M, bM), axes=[-1])), - c.shape[:1] + (1,) * (len(c.shape) - 1), + c.shape ) ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 7Why: Using `math.broadcast_to` instead of `math.reshape` can improve compatibility with different tensor libraries and potentially enhance performance. This suggestion is relevant and could lead to more robust code, but it does not address a critical issue. | 7 |
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All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 89.77%. Comparing base (
a24b0bf
) to head (a3c0bb3
). Report is 1 commits behind head on develop.
User description
Fixes bug by reshaping some parts of a product correctly
PR Type
Bug fix, Tests
Description
complex_gaussian_integral_1
function by reshaping the computedc_post
to match the shape ofc
.c
, verifying the output shapes.Changes walkthrough 📝
gaussian_integrals.py
Fix broadcasting issue in Gaussian integral calculation
mrmustard/physics/gaussian_integrals.py
c_post
.c
.test_gaussian_integrals.py
Add test for batched Gaussian integral with polynomial input
tests/test_physics/test_gaussian_integrals.py
c
.