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• Did you add an unittest for your new example or defect fix?
• Did you add documents for your new example?
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[revieko-architecture-drift-radar]

Revieko — PR review

• Status: High risk
• Structural risk: 83.35 / 100
• Hotspots: 15
• CI status: Warn
• Control risk: Low
• Analysis: partial

Analysis coverage: 32/100 diff hunks (partial). Some hotspots may be missing.

Analysis details

• hunks_analyzed=32, max_hunks=100
• lines_analyzed=1356, max_diff_lines=10000
• hunks_skipped_token_limit=0
• parse_fallback_segments=21

Legend: Structural risk is a 0–100 score (higher = riskier). Signal kinds are explained in the HTML full report (Glossary).

Per-file structural risk:

• AerialNavigation/rocket_powered_landing/rocket_powered_landing.py — 83.35 (Require)
• ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py — 74.45 (Require)

Risk policy (how to interpret 0–100)

• 70–100: Require refactoring / split PR before merge
• 40–69: Discuss in review (justify complexity, add tests/docs)
• 0–39: Acceptable (monitor)

These are guidelines. Always consider change context and PR scope.

Top hotspots:

• ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py:381-381 — struct_pattern_break (score=2.0060)
• ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py:268-268 — struct_pattern_break (score=1.9458)
• ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py:372-372 — depth_spike (score=1.9458)

Full report: HTML · Markdown · JSON
— Generated by Revieko · Install GitHub App · Documentation

Link details

• Expires at UTC: 2026-02-02 13:43:42Z
• Remaining: 168h from now

In general, to fix this kind of problem, you should remove or refactor any comparison whose truth value is fully determined by earlier conditions in the same logical expression. If two inequalities on the same value appear in a conjunction, keep the strongest one (tightest bound) unless you truly need a different quantity (e.g., a past value or a different metric).

Here, the first part of convergence_condition is:

convergence_condition = (
    delta_norm < 1e-3 and 
    sigma_norm < 1e-3 and 
    nu_norm < 1e-7 and
    (it > 5 or (delta_norm < 5e-3 and all(m.delta_norm < 1e-2 for m in metrics_history[-3:])))
)

Inside this block, delta_norm < 5e-3 is redundant because delta_norm < 1e-3 is already required. The cleanest fix that preserves semantics is to drop the weaker redundant comparison and keep the history-based check, i.e. change the inner or group from:

(it > 5 or (delta_norm < 5e-3 and all(m.delta_norm < 1e-2 for m in metrics_history[-3:])))

to:

(it > 5 or all(m.delta_norm < 1e-2 for m in metrics_history[-3:]))

This keeps the idea “either we’re past 5 iterations, or the last few iterations’ delta_norm are small,” without duplicating a constraint that is already enforced. No additional imports or definitions are needed; the only edit is to the line containing delta_norm < 5e-3 in AerialNavigation/rocket_powered_landing/rocket_powered_landing.py.

In general, to fix this class of problem, replace manual distance computations of the form sqrt(dx*dx + dy*dy) or sqrt(dx**2 + dy**2) with math.hypot(dx, dy), which is implemented to avoid unnecessary overflow and precision loss.

For this file, the best fix is:

1. Import hypot from math alongside the existing sqrt import at the top of ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py.

2. In generate_start_goal_with_constraints.is_valid_point.check_obstacles_recursive, replace:

   dist_to_center = sqrt((point[0]/M*4 - obstacle[0])**2 + 
                         (point[1]/M*4 - obstacle[1])**2)

   with:

   dx = point[0] / M * 4 - obstacle[0]
   dy = point[1] / M * 4 - obstacle[1]
   dist_to_center = hypot(dx, dy)

   or a one‑liner dist_to_center = hypot(point[0]/M*4 - obstacle[0], point[1]/M*4 - obstacle[1]). Both avoid the explicit squaring and directly leverage hypot. This preserves the functional behavior while improving numerical robustness.

No other parts of the file need to change.

In general, to fix “Use of 'global' at module level” issues, you remove global declarations that occur outside of any function or method body, because at module level the local scope is already the global scope. The assignments will continue to target the module namespace without the global keyword.

For this specific case in ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py, the best fix is to delete the global _cache_enabled line inside the if __name__ == '__main__': block, leaving the subsequent assignment _cache_enabled = (mode != PathOptimizationMode.NONE) unchanged. No imports or other code changes are needed; this preserves all existing functionality because _cache_enabled is still bound in the module’s global namespace when assigned there. Only the redundant declaration is removed.

Concretely:

• Edit ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py.
• Locate the if __name__ == '__main__': block at the bottom.
• Remove line 775: global _cache_enabled.
• Leave lines 769–777 and the rest of the file unchanged.

To fix an unused import, the general solution is to remove the specific name from the import statement (or remove the entire import if none of its names are used). This eliminates unnecessary dependencies and slightly reduces module load time and cognitive overhead.

In this file, the problematic line is:

from functools import lru_cache, wraps

Since only lru_cache is reported as unused and there is no indication that wraps is unused, the safest and minimal-change fix is to remove lru_cache from that line while leaving wraps intact. Concretely, in AerialNavigation/rocket_powered_landing/rocket_powered_landing.py around line 20, update the import so it becomes:

from functools import wraps

No new methods, definitions, or additional imports are required; we are only simplifying the existing import.

In general, unused-import issues are fixed by either (1) removing the unused names from the import statement, or (2) starting to use them if they were mistakenly left unused. To avoid changing functionality, the safest fix here is to keep only the actually used names from the math import and drop cos and sin.

In ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py, adjust the import on line 7 so that it only imports pi and sqrt. Do not change other imports or code, since there is no indication that cos or sin are needed. No additional methods, imports, or definitions are required.

In general, unused-import issues are fixed by removing the unused symbol from the import, or removing the entire import line if nothing from it is used. This reduces unnecessary dependencies and slightly improves readability and startup time.

Here, wraps is used in the timing_decorator definition (@wraps(func)), but lru_cache is never referenced. The minimal, behavior-preserving fix is to remove lru_cache from the functools import while leaving wraps intact.

Concretely, in ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py, at line 11, change:

from functools import lru_cache, wraps

to:

from functools import wraps

No additional methods, imports, or definitions are required.

To fix the problem, remove the unused types (List, Optional, Any) from the typing import while preserving the used ones (Tuple, Dict, Callable). This eliminates the unnecessary imported names without affecting functionality or type checking.

Concretely, in ArmNavigation/arm_obstacle_navigation/arm_obstacle_navigation.py, at the top of the file where typing is imported, change:

from typing import List, Tuple, Optional, Dict, Any, Callable

to:

from typing import Tuple, Dict, Callable

No other code changes or new definitions are required.