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⚡ Bolt: AST traversal performance improvement using O(1) set lookups#120

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⚡ Bolt: AST traversal performance improvement using O(1) set lookups#120
daggerstuff wants to merge 1 commit intostagingfrom
perf/performance-auditor-ast-opt-379295325754908505

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@daggerstuff daggerstuff commented Mar 31, 2026

⚡ Bolt: AST traversal performance improvement using O(1) set lookups

💡 What: Replaced O(n) list membership tests with O(1) set lookups for function names and attributes in PerformanceAuditor._find_expensive_operations.
🎯 Why: The AST walker touches thousands of nodes. Checking membership in a list for every Call node causes an unnecessary bottleneck.
📊 Impact: Expected to reduce execution time for performance audits on large files by replacing O(N) checks with constant-time lookups.
🔬 Measurement: Reviewers can benchmark the performance auditor script on large ast.AST structures to verify the speedup.


PR created automatically by Jules for task 379295325754908505 started by @daggerstuff

Summary by Sourcery

Optimize AST performance auditing by using constant-time set membership checks for expensive operations and documenting the change in the Bolt notes.

Enhancements:

  • Replace list-based membership checks with sets for expensive function and attribute detection in _find_expensive_operations to improve AST traversal performance.

Documentation:

  • Add a Bolt learning note describing the AST analysis optimization and rationale in .Jules/bolt.md.

Summary by cubic

Speeds up AST traversal in PerformanceAuditor._find_expensive_operations by replacing O(n) list membership checks with O(1) set lookups for expensive_functions and expensive_attrs. This reduces per-node overhead and improves audit times on large files.

Written for commit 6042d64. Summary will update on new commits.

💡 What: Replaced O(n) list membership tests with O(1) set lookups for function names and attributes in the AST visitor.
🎯 Why: `_find_expensive_operations` executes on every node during AST traversal. Looking up items in a list inside a deep tree walk represents a significant performance bottleneck.
📊 Impact: Speeds up the static performance auditing significantly for large codebases by eliminating O(N) operations inside tight loops.
🔬 Measurement: Can be verified by profiling `PerformanceAuditor._find_expensive_operations` on large Python files.

Co-authored-by: daggerstuff <261005129+daggerstuff@users.noreply.github.com>
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sourcery-ai bot commented Mar 31, 2026

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Replaces list-based membership checks with set-based lookups in the AST performance auditor to reduce per-node overhead during traversal, and documents the optimization in the Jules Bolt log.

Flow diagram for optimized AST expensive operation detection

flowchart TD
    A[Start _find_expensive_operations] --> B[Initialize count = 0]
    B --> C[Initialize expensive_functions as set]
    C --> D[Initialize expensive_attrs as set]
    D --> E[Iterate children using ast.walk node]
    E --> F{Is child ast.Call?}
    F -->|No| G[Next child]
    G --> E
    F -->|Yes| H{Is child.func ast.Name and id in expensive_functions?}
    H -->|Yes| I[Increment count]
    H -->|No| J{Is child.func ast.Attribute and attr in expensive_attrs?}
    J -->|Yes| I
    J -->|No| G
    I --> G
    E --> K[No more children]
    K --> L{Is count > 2?}
    L -->|Yes| M[Return count]
    L -->|No| N[Return 0]
    M --> O[End]
    N --> O
Loading

File-Level Changes

Change Details Files
Optimize expensive operation detection in AST traversal by using constant-time set membership checks instead of list scans.
  • Change expensive function name container from list to set to enable O(1) membership checks inside the AST walk loop
  • Introduce a dedicated set for expensive attribute names and use it in the ast.Attribute call detection branch
  • Slightly refactor the ast.Attribute branch condition to combine the isinstance check and membership test into a single conditional
pipelines/orchestrator/quality/performance_auditor.py
Document the AST analysis optimization in the Bolt metadata for future reference.
  • Add a Bolt log entry describing the motivation, learning, and concrete code change (list-to-set membership optimization) for AST analysis performance
.Jules/bolt.md

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vercel bot commented Mar 31, 2026

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  • .Jules/bolt.md
  • pipelines/orchestrator/quality/performance_auditor.py
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Hey - I've left some high level feedback:

  • Consider hoisting expensive_functions and expensive_attrs to module- or class-level constants (possibly as frozensets) so they aren’t reallocated on every _find_expensive_operations call, further reducing overhead in hot paths.
Prompt for AI Agents
Please address the comments from this code review:

## Overall Comments
- Consider hoisting `expensive_functions` and `expensive_attrs` to module- or class-level constants (possibly as `frozenset`s) so they aren’t reallocated on every `_find_expensive_operations` call, further reducing overhead in hot paths.

Fix all in Cursor


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No issues found across 2 files

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