fix: fix use_convex type from int to bool for segmentation algorithms#1152
fix: fix use_convex type from int to bool for segmentation algorithms#1152
use_convex type from int to bool for segmentation algorithms#1152Conversation
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WalkthroughThis update enhances the segmentation functionality by refining parameter handling and introducing a new class for cell segmentation. Key changes include a new function for casting boolean values, type updates for existing attributes, introduction of a new class, and version-based migrations to maintain backward compatibility. Changes
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Actionable comments posted: 1
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Review profile: CHILL
Files selected for processing (1)
- package/PartSegCore/segmentation/segmentation_algorithm.py (4 hunks)
Additional comments not posted (2)
package/PartSegCore/segmentation/segmentation_algorithm.py (2)
Line range hint
378-396: Approved addition ofCellFromNucleusFlowParameters.The new class is correctly set up with appropriate fields and a migration function to handle the
use_convextype change. Theuse_convexattribute is correctly defined as a boolean, consistent with the changes in other parts of the codebase.
106-112: Approved changes toBaseThresholdAlgorithmParameters.The migration to handle the
use_convexattribute type change is correctly implemented. The attribute itself has been updated tobool, aligning with the PR objectives.Verify the usage of
use_convexacross the codebase.
Ensure that all references and manipulations ofuse_convexin the codebase are consistent with its new boolean type.Also applies to: 128-128
Verification successful
Verified the usage of
use_convexattribute.The
use_convexattribute is consistently used as a boolean across the codebase. The migration function_cast_use_convexcorrectly handles the type conversion, and the attribute is defined as a boolean in the relevant classes.
package/PartSegCore/segmentation/segmentation_algorithm.pytutorials/tutorial_neuron_types/Neuron_types_example.ipynbpackage/tests/test_data/notebook/segment_data.jsonpackage/tests/test_data/old_saves/0.13.1/mask/segmentation_settings.jsonpackage/tests/test_data/old_saves/0.13.15/mask/segmentation_settings.jsonpackage/tests/test_data/old_saves/0.13.14/mask/segmentation_settings.jsonpackage/tests/conftest.pyScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify all manipulations and references to `use_convex` attribute. # Test: Search for the attribute usage. Expect: Only boolean operations or checks. rg --type python -A 5 $'use_convex'Length of output: 65
Script:
#!/bin/bash # Description: Verify all manipulations and references to `use_convex` attribute. # Test: Search for the attribute usage. Expect: Only boolean operations or checks. rg 'use_convex' -A 5Length of output: 48471
| def _cast_use_convex(dkt: dict): | ||
| if "use_convex" in dkt: | ||
| dkt = dkt.copy() | ||
| dkt["use_convex"] = bool(dkt["use_convex"]) | ||
| return dkt |
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Optimize dictionary handling in _cast_use_convex.
The function unnecessarily copies the dictionary even if use_convex is not present. Consider modifying the dictionary in place to avoid unnecessary operations, especially if this function is called frequently.
100 def _cast_use_convex(dkt: dict):
101 if "use_convex" in dkt:
- dkt = dkt.copy()
102 dkt["use_convex"] = bool(dkt["use_convex"])
103 return dktCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def _cast_use_convex(dkt: dict): | |
| if "use_convex" in dkt: | |
| dkt = dkt.copy() | |
| dkt["use_convex"] = bool(dkt["use_convex"]) | |
| return dkt | |
| def _cast_use_convex(dkt: dict): | |
| if "use_convex" in dkt: | |
| dkt["use_convex"] = bool(dkt["use_convex"]) | |
| return dkt |
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Actionable comments posted: 0
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (1)
- .github/project_dict.pws (1 hunks)
Files skipped from review due to trivial changes (1)
- .github/project_dict.pws
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #1152 +/- ##
========================================
Coverage 93.03% 93.04%
========================================
Files 207 207
Lines 32700 32706 +6
========================================
+ Hits 30424 30430 +6
Misses 2276 2276 ☔ View full report in Codecov by Sentry. |
Czaki
changed the title
use_convex type from int to booluse_convex type from int to bool for segmentation algorithms
1 participant
Summary by CodeRabbit
use_convexattribute to a more accurate boolean type for better parameter handling.