Closed mvanwyk closed 4 months ago
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The recent updates to the ProductAssociation
class significantly enhance its functionality by introducing a show_progress
parameter. This addition allows users to enable a progress bar during lengthy calculations, improving the overall user experience. The code has been refactored for clarity and performance, including changes to item combination handling and co-occurrence calculations, along with a shift from csr_matrix
to csc_array
.
Files | Change Summary |
---|---|
pyretailscience/product_association.py |
Added show_progress parameter to __init__ and _calc_association methods, enhancing user feedback with a progress bar. Refactored item combination handling and co-occurrence calculations, replacing csr_matrix with csc_array . |
In the realm of retail, progress we see,
With a hop and a skip, as happy as can be!
A bar to show how far weβve come,
Calculations smoother, like a bunny's run.
Let's cheer for the changes that make us smart,
In the world of products, we play our part! π°β¨
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β±οΈ Estimated effort to review: 3 π΅π΅π΅βͺβͺ |
π§ͺ No relevant tests |
π No security concerns identified |
β‘ Key issues to review Performance Concern The use of `tqdm` for progress display might impact performance, especially in non-interactive environments where progress display is not needed. Consider making the use of `tqdm` conditional based on the environment or providing a way to disable it. Code Clarity The refactoring introduces complex list comprehensions and nested conditions which might reduce code readability and maintainability. Consider simplifying these constructs or adding more detailed comments explaining the logic. |
Category | Suggestion | Score |
Performance |
Optimize array operations by using direct methods___ **Consider usingsparse_matrix.sum(axis=0).A1 instead of np.array(sparse_matrix.sum(axis=0)).flatten() to avoid unnecessary array conversion and directly obtain a flattened array.** [pyretailscience/product_association.py [251]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R251-R251) ```diff -occurrences = np.array(sparse_matrix.sum(axis=0)).flatten() +occurrences = sparse_matrix.sum(axis=0).A1 ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 9Why: This suggestion improves performance by avoiding unnecessary array conversion and directly obtaining a flattened array, which is a more efficient approach. | 9 |
Improve performance by using a more suitable sparse matrix format___ **Replace the use ofcsc_array with csr_matrix for better performance in dot products, which are common in association calculations.** [pyretailscience/product_association.py [43]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R43-R43) ```diff -from scipy.sparse import csc_array +from scipy.sparse import csr_matrix ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 8Why: The suggestion to replace `csc_array` with `csr_matrix` is valid as `csr_matrix` is generally more efficient for arithmetic operations and matrix-vector products, which are common in association calculations. | 8 | |
Enhancement |
Simplify and enhance the readability of progress tracking___ **Replace the manual loop for checking progress with theenumerate function to simplify the code and potentially enhance readability.** [pyretailscience/product_association.py [266-267]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R266-R267) ```diff -if show_progress: - items = tqdm(items) +for index, item in enumerate(tqdm(items) if show_progress else items): ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 7Why: Using `enumerate` with `tqdm` simplifies the code and enhances readability, but the improvement is minor and does not significantly impact performance or functionality. | 7 |
Possible bug |
Prevent bugs related to mutable default arguments___ **To avoid potential issues with mutable default arguments, consider using a tuple forbase_items instead of a list.**
[pyretailscience/product_association.py [254]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R254-R254)
```diff
-base_items = [target_item]
+base_items = (target_item,)
```
- [ ] **Apply this suggestion**
Suggestion importance[1-10]: 6Why: Using a tuple instead of a list for `base_items` can prevent potential bugs related to mutable default arguments, although the current context does not show immediate issues with mutability. | 6 |
Attention: Patch coverage is 85.71429%
with 3 lines
in your changes missing coverage. Please review.
Files | Patch % | Lines |
---|---|---|
pyretailscience/product_association.py | 85.71% | 1 Missing and 2 partials :warning: |
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Files | Coverage Ξ | |
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pyretailscience/product_association.py | 85.93% <85.71%> (ΓΈ) |
PR Type
Enhancement
Description
csr_matrix
withcsc_array
for more efficient sparse matrix operations.show_progress
parameter to display a progress bar during calculations usingtqdm
.Changes walkthrough π
product_association.py
Enhance product association calculation performance and add progress
bar
pyretailscience/product_association.py
csr_matrix
withcsc_array
for sparse matrix operations.show_progress
parameter to display a progress bar usingtqdm
.calculations.
Summary by CodeRabbit
New Features
Bug Fixes
Performance Improvements
csr_matrix
withcsc_array
for optimized processing in specific scenarios.