Closed ziofil closed 3 weeks ago
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⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪ |
🏅 Score: 85 |
🧪 No relevant tests |
🔒 No security concerns identified |
⚡ Recommended focus areas for review Code Duplication The `auto_shape` method is duplicated in both `Ket` and `DM` classes with very similar implementation. Consider refactoring to reduce duplication. Performance Concern The `random` method creates a full symplectic matrix and then extracts submatrices, which might be inefficient for large mode numbers. Consider optimizing this process. |
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Explore these optional code suggestions:
Category | Suggestion | Score |
Best practice |
✅ Use a more numerically stable method for matrix inversion___Suggestion Impact:The suggestion to use math.solve instead of math.inv was implemented, improving numerical stability. However, the implementation used math.transpose and math.dagger, which differs slightly from the suggestion. code diff: ```diff - A = S_2 @ math.conj(math.inv(S_1)) # use solve for inverse + A = math.transpose(math.solve(math.dagger(S_1), math.transpose(S_2))) ```math.solve instead of math.inv for better numerical stability when computing the inverse of a matrix.** [mrmustard/lab_dev/states/ket.py [210]](https://github.com/XanaduAI/MrMustard/pull/510/files#diff-065ae49c98ca8757bb66ef7763a81070e7b0eab2e0899ffebc2b4f2491d6df4eR210-R210) ```diff -A = S_2 @ math.conj(math.inv(S_1)) # use solve for inverse +A = math.solve(math.conj(S_1), S_2.T).T ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 9Why: The suggestion to use `math.solve` instead of `math.inv` is a best practice for improving numerical stability when computing matrix inverses. This change enhances the robustness of the code. | 9 |
✅ Group related imports together to improve code organization and readability___ **Consider grouping related imports together, such as placing Ket and DM imports nextto each other, to improve code organization and readability.** [mrmustard/lab_dev/states/__init__.py [19-30]](https://github.com/XanaduAI/MrMustard/pull/510/files#diff-37701f830dda560cc6af996dc585644c803ee07e7a0639f11db31cb41044a766R19-R30) ```diff from .base import State from .ket import Ket from .dm import DM + from .coherent import Coherent from .displaced_squeezed import DisplacedSqueezed from .number import Number from .quadrature_eigenstate import QuadratureEigenstate from .squeezed_vacuum import SqueezedVacuum from .thermal import Thermal from .two_mode_squeezed_vacuum import TwoModeSqueezedVacuum from .vacuum import Vacuum from .sauron import Sauron ``` `[Suggestion has been applied]` Suggestion importance[1-10]: 5Why: Grouping related imports can enhance readability and organization, but the impact is minor since the current order is already clear. The suggestion is valid but offers only a slight improvement. | 5 | |
Performance |
✅ Use a more efficient method to check if a matrix is Hermitian___ **Consider using a more efficient method to check ifgamma_A is Hermitian, such as np.allclose(gamma_A, gamma_A.conj().T) instead of comparing norms.**
[mrmustard/lab_dev/states/dm.py [79-82]](https://github.com/XanaduAI/MrMustard/pull/510/files#diff-17d0cf9d48cb14fcbaadec367030d4f41d5c782c2a069d5d9342569588e2ba38R79-R82)
```diff
-if (
- math.real(math.norm(gamma_A - math.conj(gamma_A.T))) > settings.ATOL
-): # checks if gamma_A is Hermitian
+if not math.allclose(gamma_A, math.conj(gamma_A.T), atol=settings.ATOL): # checks if gamma_A is Hermitian
return False
```
`[Suggestion has been applied]`
Suggestion importance[1-10]: 8Why: The suggestion to use `math.allclose` instead of comparing norms is valid and improves the efficiency and readability of the code. It directly checks if the matrix is Hermitian, which aligns with the intended functionality. | 8 |
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Attention: Patch coverage is 97.23926%
with 9 lines
in your changes missing coverage. Please review.
Project coverage is 89.41%. Comparing base (
6ab5aec
) to head (2805e5f
). Report is 1 commits behind head on develop.
Files with missing lines | Patch % | Lines |
---|---|---|
mrmustard/lab_dev/states/dm.py | 95.56% | 7 Missing :warning: |
mrmustard/lab_dev/states/ket.py | 98.57% | 2 Missing :warning: |
User description
Context: The file
mrmustard/lab_dev/states/base.py
was 1200+ lines long and it was hard to navigate.Description of the Change:
DM
andKet
are now defined in their own files.Benefits:
Ket
orDM
)states/base.py
now is more abstractPossible Drawbacks: Some minor code duplication because e.g.
DM
cannot useKet.random
in its ownrandom
method anymore (unless we allow for imports in methods).PR Type
enhancement
Description
Ket
andDM
classes frombase.py
into their own modules,ket.py
anddm.py
.Ket
andDM
from their new modules.__init__.py
for clarity and specificity.Changes walkthrough 📝
13 files
__init__.py
Refactor import statements for clarity and specificity
mrmustard/lab_dev/states/__init__.py
wildcard imports.
Ket
andDM
classes.base.py
Refactor base state class to remove Ket and DM
mrmustard/lab_dev/states/base.py
Ket
andDM
class definitions from the file.ket
anddm
modules.from_phase_space
method return type.coherent.py
Update import for Ket class in coherent state
mrmustard/lab_dev/states/coherent.py - Updated import to use `Ket` from the new `ket` module.
displaced_squeezed.py
Update import for Ket class in displaced squeezed state
mrmustard/lab_dev/states/displaced_squeezed.py - Updated import to use `Ket` from the new `ket` module.
dm.py
Create DM class in a separate module
mrmustard/lab_dev/states/dm.py
DM
class.ket.py
Create Ket class in a separate module
mrmustard/lab_dev/states/ket.py
Ket
class.number.py
Update import for Ket class in number state
mrmustard/lab_dev/states/number.py - Updated import to use `Ket` from the new `ket` module.
quadrature_eigenstate.py
Update import for Ket class in quadrature eigenstate
mrmustard/lab_dev/states/quadrature_eigenstate.py - Updated import to use `Ket` from the new `ket` module.
sauron.py
Update import for Ket class in Sauron state
mrmustard/lab_dev/states/sauron.py - Updated import to use `Ket` from the new `ket` module.
squeezed_vacuum.py
Update import for Ket class in squeezed vacuum state
mrmustard/lab_dev/states/squeezed_vacuum.py - Updated import to use `Ket` from the new `ket` module.
thermal.py
Update import for DM class in thermal state
mrmustard/lab_dev/states/thermal.py - Updated import to use `DM` from the new `dm` module.
two_mode_squeezed_vacuum.py
Update import for Ket class in two-mode squeezed vacuum state
mrmustard/lab_dev/states/two_mode_squeezed_vacuum.py - Updated import to use `Ket` from the new `ket` module.
vacuum.py
Update import for Ket class in vacuum state
mrmustard/lab_dev/states/vacuum.py - Updated import to use `Ket` from the new `ket` module.
1 files
test_ansatz.py
Update import for DM class in test cases
tests/test_physics/test_ansatz.py - Updated import to use `DM` from the new `dm` module.