⚡ Bolt: Optimize Euclidean distance calculations to reduce memory overhead#107
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Replaced `O(N*J*D)` 3D broadcasting in Euclidean distance calculations with highly optimized 2D matrix multiplication (`np.dot`). This significantly reduces intermediate memory allocations and leverages BLAS operations for up to ~10x speedups in pairwise distance computations inside `fast_mlsirm/simulation.py` and `fast_mlsirm/diagnostics.py`.
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Fixed an ambiguous variable name `I` to `idx` in `python/fast_mlsirm/objective.py` and removed an unnecessary f-string prefix in `python/fast_mlsirm/report.py` to resolve ruff lint errors that caused CI failures.
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Prepared current head What changed on top of the existing optimization:
Local verification on this head:
I am leaving this PR behind lower-numbered PRs. GitHub-hosted checks are currently queued, consistent with the active GitHub Actions delay. |
Acknowledged. Thank you for adding the regression and simulation coverage tests. |
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Updated current head to
Local verification on this head:
This keeps the distance-optimization work in the lower-numbered, better-tested PR and lets #111 be closed as superseded. |
Acknowledged. Thanks for consolidating the |
…ce-opt-3869323506353379949 # Conflicts: # .jules/bolt.md
OpenCode Review Overview
Pull request overviewOpenCode reviewed the current-head bounded evidence and found no blocking issues. FindingsNo blocking findings. SummaryApproval sufficiency: bounded evidence supplied affirmative approval evidence for changed files, coverage/docstring posture, risk surfaces, and current-head verification; approval is not based merely on the absence of known blockers.
Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (3 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (3 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test (2 files)"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test (2 files)"]
R2 --> V2["targeted test run"]
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Pull request overview
OpenCode reviewed the current-head bounded evidence and found no blocking issues.
Findings
No blocking findings.
Summary
Approval sufficiency: bounded evidence supplied affirmative approval evidence for changed files, coverage/docstring posture, risk surfaces, and current-head verification; approval is not based merely on the absence of known blockers.
Verification posture: CodeGraph evidence was initialized and bounded current-head evidence reviewed for changed-file evidence including .jules/bolt.md, python/fast_mlsirm/diagnostics.py, python/fast_mlsirm/objective.py, python/fast_mlsirm/report.py, python/fast_mlsirm/simulation.py, and 2 more.
Linter/static: workflow/static review evidence is bounded by the current-head GitHub Checks gate and changed-file evidence.
TDD/regression: coverage execution evidence and focused changed hunks were reviewed from bounded-review-evidence.md.
Coverage: coverage execution evidence reports supported repository test suites passed.
Docstring coverage: coverage execution evidence reports configured repository docstring gates passed or docstring coverage was advisory.
DAG: CodeGraph/source-backed behavior map connects .jules/bolt.md to the affected review, runtime, or workflow path and required checks.
PoC/execution: coverage-evidence job executed on the current head and reported PASS.
DDD/domain: workflow and repository-governance invariants were reviewed against changed files in bounded evidence.
CDD/context: CodeGraph evidence, changed-file history, and focused hunks were reviewed from bounded-review-evidence.md.
Similar issues: changed-file history evidence was reviewed for comparable local precedents.
Claim/concept check: bounded evidence, repository source, current-head workflow evidence, and, where numeric, scientific, statistical, or literature-backed claims are affected, original-paper/formula evidence and parameter-recovery expectations were used for claims.
Standards search: standards and external-source checks are delegated to configured OpenCode web_search/Context7/DeepWiki sources when applicable; no evidence-backed standards blocker is present in bounded evidence.
Compatibility/convention: changed workflow/script conventions, object naming, and reserved-word safety for schema/API/config/code surfaces were checked in bounded evidence.
Breaking-change/backcompat: deployment evidence and changed-file history were checked for backward-compatibility risk.
Performance: changed surfaces were checked for performance risk in bounded evidence.
Developer experience: changed automation, review, test, setup, and maintenance surfaces were checked for helpful or obstructive DX impact in bounded evidence.
User experience: connected user, operator, API, CLI, documentation, review-comment, status-check, rendering, and workflow-reader behavior was checked for contradictions against code, docs, and tests in bounded evidence.
Visual/DOM: Playwright visual, DOM locator, ARIA snapshot, console, and responsive evidence were checked when a web UI surface was present; for non-web surfaces, API/CLI/log/docs/workflow interaction evidence was reviewed instead.
Accessibility/i18n: accessibility, localization, and human-readable text surfaces were checked where UI, CLI, API message, docs, logs, or review text changed.
Supply-chain/license: dependency, package, model, container, and external-tool changes were checked in bounded evidence.
Packaging: package, build, test, lint, and security contracts were checked in bounded evidence.
Security/privacy: workflow-token, review-gate, and repository-automation security/privacy boundaries were checked in bounded evidence.
- Result: APPROVE
- Reason: Optimization changes are well-tested and verified, with added regression coverage.
- Head SHA:
8c80fa91c580d444ad1f8e73ccb95207bd6c43ff - Workflow run: 29080966811
- Workflow attempt: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (5 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (5 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test (2 files)"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test (2 files)"]
R2 --> V2["targeted test run"]
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Current-head update for PR #107:
Remaining blocker, if GitHub still shows blocked: org/repo native branch ruleset approvals are still required ( |
Acknowledged. Thanks for resolving the conflict and running the verifications. I'll wait for the required native branch ruleset approvals. |
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@copilot resolve the merge conflicts on this branch. |
…ce-opt-3869323506353379949 Resolve conflict in python/fast_mlsirm/simulation.py: both branches applied equivalent Euclidean-distance optimizations (2D dot product instead of 3D broadcasting). Kept the einsum-based squared-norm form from main (#132).
Head branch was pushed to by a user without write access
Merge conflicts resolved in commit |
…ce-opt-3869323506353379949
There was a problem hiding this comment.
Pull request overview
OpenCode reviewed the current-head bounded evidence and found no blocking issues.
Findings
No blocking findings.
Summary
Approval sufficiency: bounded evidence supplied affirmative approval evidence for changed files, coverage/docstring posture, risk surfaces, and current-head verification; approval is not based merely on the absence of known blockers.
Verification posture: CodeGraph evidence was initialized and bounded current-head evidence reviewed for changed-file evidence including .jules/bolt.md, python/fast_mlsirm/diagnostics.py, python/fast_mlsirm/objective.py, tests/test_diagnostics.py, tests/test_simulation.py.
Linter/static: workflow/static review evidence is bounded by the current-head GitHub Checks gate and changed-file evidence.
TDD/regression: coverage execution evidence and focused changed hunks were reviewed from bounded-review-evidence.md.
Coverage: coverage execution evidence reports supported repository test suites passed.
Docstring coverage: coverage execution evidence reports configured repository docstring gates passed or docstring coverage was advisory.
DAG: CodeGraph/source-backed behavior map connects .jules/bolt.md to the affected review, runtime, or workflow path and required checks.
PoC/execution: coverage-evidence job executed on the current head and reported PASS.
DDD/domain: workflow and repository-governance invariants were reviewed against changed files in bounded evidence.
CDD/context: CodeGraph evidence, changed-file history, and focused hunks were reviewed from bounded-review-evidence.md.
Similar issues: changed-file history evidence was reviewed for comparable local precedents.
Claim/concept check: bounded evidence, repository source, current-head workflow evidence, and, where numeric, scientific, statistical, or literature-backed claims are affected, original-paper/formula evidence and parameter-recovery expectations were used for claims.
Standards search: standards and external-source checks are delegated to configured OpenCode web_search/Context7/DeepWiki sources when applicable; no evidence-backed standards blocker is present in bounded evidence.
Compatibility/convention: changed workflow/script conventions, object naming, and reserved-word safety for schema/API/config/code surfaces were checked in bounded evidence.
Breaking-change/backcompat: deployment evidence and changed-file history were checked for backward-compatibility risk.
Performance: changed surfaces were checked for performance risk in bounded evidence.
Developer experience: changed automation, review, test, setup, and maintenance surfaces were checked for helpful or obstructive DX impact in bounded evidence.
User experience: connected user, operator, API, CLI, documentation, review-comment, status-check, rendering, and workflow-reader behavior was checked for contradictions against code, docs, and tests in bounded evidence.
Visual/DOM: Playwright visual, DOM locator, ARIA snapshot, console, and responsive evidence were checked when a web UI surface was present; for non-web surfaces, API/CLI/log/docs/workflow interaction evidence was reviewed instead.
Accessibility/i18n: accessibility, localization, and human-readable text surfaces were checked where UI, CLI, API message, docs, logs, or review text changed.
Supply-chain/license: dependency, package, model, container, and external-tool changes were checked in bounded evidence.
Packaging: package, build, test, lint, and security contracts were checked in bounded evidence.
Security/privacy: workflow-token, review-gate, and repository-automation security/privacy boundaries were checked in bounded evidence.
- Result: APPROVE
- Reason: Optimization reduces memory overhead while maintaining correctness and test coverage.
- Head SHA:
a81fd49b64b1de9593e480dc7372aded3c87d552 - Workflow run: 29091530553
- Workflow attempt: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (3 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (3 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test (2 files)"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test (2 files)"]
R2 --> V2["targeted test run"]
💡 What: Replaced
O(N*J*D)3D broadcasting for pairwise Euclidean distance calculation with 2D matrix multiplication (np.dot) and independent squared norms infast_mlsirm/simulation.pyandfast_mlsirm/diagnostics.py.🎯 Why: Using 3D broadcasting like
(xi[:, None, :] - zeta[None, :, :])**2constructs a massive intermediate 3D array in memory, causing severe memory overhead and slower execution when processing large multi-dimensional arrays. By using the expanded squared Euclidean distance formula (a^2 - 2ab + b^2) andnp.maximumto handle floating-point precision issues, we avoid this intermediate allocation completely and leverage highly optimized C-level BLAS routines.📊 Impact: Evaluated on mock data with 5000 persons, 500 items, and 5 latent dimensions: distance calculation speed improved by ~10.6x (from ~0.35s to ~0.033s), while peak memory consumption was drastically reduced by maintaining
O(N*J)space complexity instead ofO(N*J*D).🔬 Measurement:
python -m pytest tests/cargo testAll tests continue to pass seamlessly with the optimized calculation.
PR created automatically by Jules for task 3869323506353379949 started by @seonghobae