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Use linear-space optimal alignment for EditDistance - #2409
ThanosTsiamis wants to merge 3 commits into
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Merge Risk:
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| Check name | Status | Explanation | Resolution |
|---|---|---|---|
| Docstring Coverage | Docstring coverage is 28.57% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 14 functions across 2 files. (1 skipped: … | Write docstrings for the functions missing them to satisfy the coverage threshold. |
✅ Passed checks (4 passed)
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Check name Status Explanation Title check ✅ Passed The title clearly and concisely identifies the main change: replacing the existing EditDistance implementation with a linear-space optimal-alignment algorithm. Description check ✅ Passed The description directly explains the algorithm replacement, memory and time complexity, computation limits, alignment behavior, and affected rendering output. Linked Issues check ✅ Passed The changes satisfy issue [ #2408] by replacing the dense Levenshtein matrix with a linear-space divide-and-conquer algorithm, preserving optimal edit paths and useful diffs for larger inputs. The adde…Out of Scope Changes check ✅ Passed The implementation, computation-limit adjustment, rendering updates, and regression tests are related to the objectives in [ #2408]. No unrelated code changes are evident.
Full details: Linked Issues check
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Explanation
The changes satisfy issue [
#2408] by replacing the dense Levenshtein matrix with a linear-space divide-and-conquer algorithm, preserving optimal edit paths and useful diffs for larger inputs. The added tests cover distance correctness, path reconstruction, large inputs, and expected tie-breaking changes.
Full details: Docstring Coverage
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Explanation
Docstring coverage is 28.57% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 14 functions across 2 files. (1 skipped: 1 unsupported.)
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Greptile SummaryThe PR replaces EditDistance's dense Levenshtein matrix with a divide-and-conquer alignment implementation and raises the renderer's bounded computation threshold.
Confidence Score: 4/5The PR appears safe to merge, with a non-blocking encapsulation issue in the mutable cached path returned by calculatePath(). The new alignment implementation has broad correctness and large-input coverage, but callers can now mutate retained path state and make it inconsistent with the cached distance. Files Needing Attention: spock-core/src/main/java/org/spockframework/runtime/condition/EditDistance.java Important Files Changed
Flowchart%%{init: {'theme': 'neutral'}}%%
flowchart TD
A[Failed string equality] --> B{Input product within limit?}
B -- Yes --> C[Construct EditDistance]
B -- No --> D[Trim common prefix and suffix]
D --> E{Reduced product within limit?}
E -- No --> F[Render strings-too-large fallback]
E -- Yes --> C
C --> G[Trim equal boundaries]
G --> H{Base case?}
H -- Yes --> I[Emit edit operations]
H -- No --> J[Compute forward and backward costs]
J --> K[Select optimal midpoint]
K --> G
I --> L[Normalize edit runs]
L --> M[Render distance and alignment]
Reviews (1): Last reviewed commit: "feat:editDistance improvement" | Re-trigger Greptile |
| public List<EditOperation> calculatePath() { | ||
| LinkedList<EditOperation> ops = new LinkedList<>(); | ||
| int i = seq1.length(); | ||
| int j = seq2.length(); | ||
| int dist = matrix[i][j]; | ||
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| while (i > 0 && j > 0 && dist > 0) { | ||
| int ins = matrix[i][j - 1]; | ||
| int del = matrix[i - 1][j]; | ||
| int sub = matrix[i - 1][j - 1]; | ||
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||
| if (dist == ins + 1) { | ||
| addOrUpdate(ops, INSERT, 1); | ||
| j--; | ||
| } else if (dist == del + 1) { | ||
| addOrUpdate(ops, DELETE, 1); | ||
| i--; | ||
| return path; | ||
| } |
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calculatePath() now returns the constructor-cached mutable list, whose EditOperation elements also expose incLength(). Modifying that result corrupts subsequent paths while getDistance() retains its original value, producing inconsistent diagnostics or invalid operation lengths during rendering.
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Alright, I changed it so calculatePath() returns now a new list
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Actionable comments posted: 1
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Inline comments:
In
`@spock-core/src/main/java/org/spockframework/runtime/condition/EditDistance.java`:
- Line 72: Update calculatePath() to return a defensive copy of the mutable path
rather than the shared path instance, ensuring callers can modify their result
without affecting subsequent calls.
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📒 Files selected for processing (8)
spock-core/src/main/java/org/spockframework/runtime/FailedStringComparisonRenderer.javaspock-core/src/main/java/org/spockframework/runtime/condition/EditDistance.javaspock-specs/src/test/groovy/org/spockframework/runtime/condition/EditDistanceCrossCheckSpec.groovyspock-specs/src/test/groovy/org/spockframework/runtime/condition/EditDistanceLargeInputSpec.groovyspock-specs/src/test/groovy/org/spockframework/runtime/condition/EditDistanceSpec.groovyspock-specs/src/test/groovy/org/spockframework/runtime/condition/EditPathRendererSpec.groovyspock-specs/src/test/groovy/org/spockframework/smoke/condition/StringComparisonRendering.groovyspock-specs/src/test/groovy/org/spockframework/smoke/mock/TooFewInvocations.groovy
💤 Files with no reviewable changes (1)
- spock-specs/src/test/groovy/org/spockframework/runtime/condition/EditDistanceSpec.groovy
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #2409 +/- ##
============================================
+ Coverage 82.29% 82.33% +0.03%
- Complexity 4890 4912 +22
============================================
Files 474 474
Lines 15280 15355 +75
Branches 1968 1987 +19
============================================
+ Hits 12575 12642 +67
- Misses 2004 2011 +7
- Partials 701 702 +1
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Closes #2408
Replace the dense Levenshtein matrix in EditDistance with a Myers-Miller/Hirschberg-style divide-and-conquer algorithm.
This also resolves the long-standing EditDistance implementation TODO to use an algorithm with lower time and/or space complexity.
The new implementation:
The computation limit is increased from 50 Ki cells to 1 Mi cells. It now primarily limits CPU work rather than protecting against allocation of a dense matrix. Completely different strings above the limit still use the existing fallback message.
Rendering changes
Multiple optimal Levenshtein alignments can exist. The divide-and-conquer algorithm may select a different optimal path from the previous matrix backtracking implementation.
Expected failure messages affected by this tie-breaking have been updated. The distance and reconstructed strings remain unchanged.