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Created December 4, 2025 07:07
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solution-draft-log-pr-1764832055921.txt
# Solve.mjs Log - 2025-12-04T06:52:15.291Z
[2025-12-04T06:52:15.292Z] [INFO] 📁 Log file: /home/hive/solve-2025-12-04T06-52-15-291Z.log
[2025-12-04T06:52:15.294Z] [INFO] (All output will be logged here)
[2025-12-04T06:52:16.195Z] [INFO]
[2025-12-04T06:52:16.196Z] [INFO] 🚀 solve v0.36.9
[2025-12-04T06:52:16.196Z] [INFO] 🔧 Raw command executed:
[2025-12-04T06:52:16.197Z] [INFO] /home/hive/.nvm/versions/node/v20.19.6/bin/node /home/hive/.bun/bin/solve https://github.com/uselessgoddess/dunes/issues/28 --auto-fork --auto-continue --attach-logs --verbose --no-tool-check --prefix-fork-name-with-owner-name
[2025-12-04T06:52:16.197Z] [INFO]
[2025-12-04T06:52:16.217Z] [INFO]
[2025-12-04T06:52:16.217Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED
[2025-12-04T06:52:16.218Z] [INFO]
[2025-12-04T06:52:16.218Z] [INFO] This option will upload the complete solution draft log file to the Pull Request.
[2025-12-04T06:52:16.219Z] [INFO] The log may contain sensitive information such as:
[2025-12-04T06:52:16.220Z] [INFO] • API keys, tokens, or secrets
[2025-12-04T06:52:16.220Z] [INFO] • File paths and directory structures
[2025-12-04T06:52:16.221Z] [INFO] • Command outputs and error messages
[2025-12-04T06:52:16.221Z] [INFO] • Internal system information
[2025-12-04T06:52:16.221Z] [INFO]
[2025-12-04T06:52:16.222Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log
[2025-12-04T06:52:16.222Z] [INFO] might contain sensitive data that should not be shared publicly.
[2025-12-04T06:52:16.222Z] [INFO]
[2025-12-04T06:52:16.223Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort)
[2025-12-04T06:52:16.223Z] [INFO]
[2025-12-04T06:52:21.230Z] [INFO]
[2025-12-04T06:52:21.298Z] [INFO] 💾 Disk space check: 106134MB available (500MB required) ✅
[2025-12-04T06:52:21.306Z] [INFO] 🧠 Memory check: 5194MB available, swap: 2047MB (2002MB used), total: 5239MB (256MB required) ✅
[2025-12-04T06:52:21.308Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled)
[2025-12-04T06:52:21.313Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled)
[2025-12-04T06:52:21.313Z] [INFO] 📋 URL validation:
[2025-12-04T06:52:21.314Z] [INFO] Input URL: https://github.com/uselessgoddess/dunes/issues/28
[2025-12-04T06:52:21.316Z] [INFO] Is Issue URL: true
[2025-12-04T06:52:21.318Z] [INFO] Is PR URL: false
[2025-12-04T06:52:21.319Z] [INFO] 🔍 Checking repository access for auto-fork...
[2025-12-04T06:52:22.229Z] [INFO] Repository visibility: public
[2025-12-04T06:52:22.232Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode
[2025-12-04T06:52:22.235Z] [INFO] ✅ Repository access check: Skipped (fork mode enabled)
[2025-12-04T06:52:22.658Z] [INFO] Repository visibility: public
[2025-12-04T06:52:22.662Z] [INFO] Auto-cleanup default: false (repository is public)
[2025-12-04T06:52:22.665Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #28...
[2025-12-04T06:52:23.540Z] [INFO] 🔍 Fork mode: Checking for existing branches in konard/uselessgoddess-dunes...
[2025-12-04T06:52:24.500Z] [INFO] 📝 No existing PRs found for issue #28 - creating new PR
[2025-12-04T06:52:24.501Z] [INFO] 📝 Issue mode: Working with issue #28
[2025-12-04T06:52:24.503Z] [INFO]
Creating temporary directory: /tmp/gh-issue-solver-1764831144502
[2025-12-04T06:52:24.506Z] [INFO]
🍴 Fork mode: ENABLED
[2025-12-04T06:52:24.506Z] [INFO] Checking fork status...
[2025-12-04T06:52:24.920Z] [INFO] 🔍 Detecting fork conflicts...
[2025-12-04T06:52:26.245Z] [INFO] ✅ No fork conflict: Safe to proceed
[2025-12-04T06:52:26.696Z] [INFO] ✅ Fork exists: konard/uselessgoddess-dunes
[2025-12-04T06:52:26.715Z] [INFO]
📥 Cloning repository: konard/uselessgoddess-dunes
[2025-12-04T06:52:28.372Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1764831144502
[2025-12-04T06:52:28.402Z] [INFO] 🔗 Setting upstream: uselessgoddess/dunes
[2025-12-04T06:52:28.433Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote
[2025-12-04T06:52:28.433Z] [INFO] 🔄 Fetching upstream...
[2025-12-04T06:52:29.158Z] [INFO] ✅ Upstream fetched: Successfully
[2025-12-04T06:52:29.158Z] [INFO] 🔄 Syncing default branch...
[2025-12-04T06:52:29.712Z] [INFO] ℹ️ Default branch: main
[2025-12-04T06:52:29.894Z] [INFO] ✅ Default branch synced: with upstream/main
[2025-12-04T06:52:29.919Z] [INFO] 🔄 Pushing to fork: main branch
[2025-12-04T06:52:31.153Z] [INFO] ✅ Fork updated: Default branch pushed to fork
[2025-12-04T06:52:31.312Z] [INFO]
📌 Default branch: main
[2025-12-04T06:52:31.348Z] [INFO]
🌿 Creating branch: issue-28-397ada389b8b from main
[2025-12-04T06:52:31.378Z] [INFO] 🔍 Verifying: Branch creation...
[2025-12-04T06:52:31.409Z] [INFO] ✅ Branch created: issue-28-397ada389b8b
[2025-12-04T06:52:31.409Z] [INFO] ✅ Current branch: issue-28-397ada389b8b
[2025-12-04T06:52:31.410Z] [INFO] Branch operation: Create new branch
[2025-12-04T06:52:31.410Z] [INFO] Branch verification: Matches expected
[2025-12-04T06:52:31.415Z] [INFO]
🚀 Auto PR creation: ENABLED
[2025-12-04T06:52:31.416Z] [INFO] Creating: Initial commit and draft PR...
[2025-12-04T06:52:31.416Z] [INFO]
[2025-12-04T06:52:31.417Z] [INFO] 📝 Creating: CLAUDE.md with task details
[2025-12-04T06:52:31.417Z] [INFO] Issue URL from argv['issue-url']: https://github.com/uselessgoddess/dunes/issues/28
[2025-12-04T06:52:31.418Z] [INFO] Issue URL from argv._[0]: undefined
[2025-12-04T06:52:31.418Z] [INFO] Final issue URL: https://github.com/uselessgoddess/dunes/issues/28
[2025-12-04T06:52:31.418Z] [INFO] CLAUDE.md already exists, appending task info...
[2025-12-04T06:52:31.419Z] [INFO] ✅ File created: CLAUDE.md
[2025-12-04T06:52:31.419Z] [INFO] 📦 Adding file: To git staging
[2025-12-04T06:52:31.490Z] [INFO] Git status after add: M CLAUDE.md
[2025-12-04T06:52:31.491Z] [INFO] 📝 Creating commit: With CLAUDE.md file
[2025-12-04T06:52:31.533Z] [INFO] ✅ Commit created: Successfully with CLAUDE.md
[2025-12-04T06:52:31.535Z] [INFO] Commit output: [issue-28-397ada389b8b 6e8e51f] Initial commit with task details for issue #28
1 file changed, 13 insertions(+), 1 deletion(-)
[2025-12-04T06:52:31.571Z] [INFO] Commit hash: 6e8e51f...
[2025-12-04T06:52:31.603Z] [INFO] Latest commit: 6e8e51f Initial commit with task details for issue #28
[2025-12-04T06:52:31.665Z] [INFO] Git status: clean
[2025-12-04T06:52:31.731Z] [INFO] Remotes: origin https://github.com/konard/uselessgoddess-dunes.git (fetch)
[2025-12-04T06:52:31.781Z] [INFO] Branch info: * issue-28-397ada389b8b 6e8e51f Initial commit with task details for issue #28
main 1c82879 [origin/main] Merge pull request #23 from konard/issue-22-2c1825bb9843
[2025-12-04T06:52:31.785Z] [INFO] 📤 Pushing branch: To remote repository...
[2025-12-04T06:52:31.785Z] [INFO] Push command: git push -u origin issue-28-397ada389b8b
[2025-12-04T06:52:33.078Z] [INFO] Push exit code: 0
[2025-12-04T06:52:33.078Z] [INFO] Push output: remote:
remote: Create a pull request for 'issue-28-397ada389b8b' on GitHub by visiting:
remote: https://github.com/konard/uselessgoddess-dunes/pull/new/issue-28-397ada389b8b
remote:
To https://github.com/konard/uselessgoddess-dunes.git
* [new branch] issue-28-397ada389b8b -> issue-28-397ada389b8b
branch 'issue-28-397ada389b8b' set up to track 'origin/issue-28-397ada389b8b'.
[2025-12-04T06:52:33.079Z] [INFO] ✅ Branch pushed: Successfully to remote
[2025-12-04T06:52:33.079Z] [INFO] Push output: remote:
remote: Create a pull request for 'issue-28-397ada389b8b' on GitHub by visiting:
remote: https://github.com/konard/uselessgoddess-dunes/pull/new/issue-28-397ada389b8b
remote:
To https://github.com/konard/uselessgoddess-dunes.git
* [new branch] issue-28-397ada389b8b -> issue-28-397ada389b8b
branch 'issue-28-397ada389b8b' set up to track 'origin/issue-28-397ada389b8b'.
[2025-12-04T06:52:33.080Z] [INFO] Waiting for GitHub to sync...
[2025-12-04T06:52:35.768Z] [INFO] Compare API check: 1 commit(s) ahead of main
[2025-12-04T06:52:35.769Z] [INFO] GitHub compare API ready: 1 commit(s) found
[2025-12-04T06:52:36.162Z] [INFO] Branch verified on GitHub: issue-28-397ada389b8b
[2025-12-04T06:52:36.572Z] [INFO] Remote commit SHA: 6e8e51f...
[2025-12-04T06:52:36.573Z] [INFO] 📋 Getting issue: Title from GitHub...
[2025-12-04T06:52:36.971Z] [INFO] Issue title: "Fix missing SBT benchmarks"
[2025-12-04T06:52:36.971Z] [INFO] 👤 Getting user: Current GitHub account...
[2025-12-04T06:52:37.360Z] [INFO] Current user: konard
[2025-12-04T06:52:37.710Z] [INFO] User is not a collaborator (will skip assignment)
[2025-12-04T06:52:37.714Z] [INFO] User is not a collaborator (will skip assignment)
[2025-12-04T06:52:37.719Z] [INFO] 🔄 Fetching: Latest main branch...
[2025-12-04T06:52:38.174Z] [INFO] ✅ Base updated: Fetched latest main
[2025-12-04T06:52:38.175Z] [INFO] 🔍 Checking: Commits between branches...
[2025-12-04T06:52:38.214Z] [INFO] Commits ahead of origin/main: 1
[2025-12-04T06:52:38.216Z] [INFO] ✅ Commits found: 1 commit(s) ahead
[2025-12-04T06:52:38.217Z] [INFO] 🔀 Creating PR: Draft pull request...
[2025-12-04T06:52:38.217Z] [INFO] 🎯 Target branch: main (default)
[2025-12-04T06:52:38.219Z] [INFO] PR Title: [WIP] Fix missing SBT benchmarks
[2025-12-04T06:52:38.220Z] [INFO] Base branch: main
[2025-12-04T06:52:38.220Z] [INFO] Head branch: issue-28-397ada389b8b
[2025-12-04T06:52:38.221Z] [INFO] Assignee: konard
[2025-12-04T06:52:38.221Z] [INFO] PR Body:
## 🤖 AI-Powered Solution Draft
This pull request is being automatically generated to solve issue uselessgoddess/dunes#28.
### 📋 Issue Reference
Fixes uselessgoddess/dunes#28
### 🚧 Status
**Work in Progress** - The AI assistant is currently analyzing and implementing the solution draft.
### 📝 Implementation Details
_Details will be added as the solution draft is developed..._
---
*This PR was created automatically by the AI issue solver*
[2025-12-04T06:52:38.226Z] [INFO] Command: cd "/tmp/gh-issue-solver-1764831144502" && gh pr create --draft --title "$(cat '/tmp/pr-title-1764831158225.txt')" --body-file "/tmp/pr-body-1764831158224.md" --base main --head konard:issue-28-397ada389b8b --repo uselessgoddess/dunes
[2025-12-04T06:52:40.483Z] [INFO] 🔍 Verifying: PR creation...
[2025-12-04T06:52:41.211Z] [INFO] ✅ Verification: PR exists on GitHub
[2025-12-04T06:52:41.213Z] [INFO] ✅ PR created: #29
[2025-12-04T06:52:41.213Z] [INFO] 📍 PR URL: https://github.com/uselessgoddess/dunes/pull/29
[2025-12-04T06:52:41.214Z] [INFO] ℹ️ Note: Could not assign (no permission)
[2025-12-04T06:52:41.215Z] [INFO] 🔗 Linking: Issue #28 to PR #29...
[2025-12-04T06:52:41.647Z] [INFO] Issue node ID: I_kwDOQA94g87cDU5U
[2025-12-04T06:52:42.119Z] [INFO] PR node ID: PR_kwDOQA94g862_YP_
[2025-12-04T06:52:42.558Z] [INFO] ✅ Link verified: Issue #28 → PR #29
[2025-12-04T06:52:42.955Z] [INFO] 👤 Current user: konard
[2025-12-04T06:52:42.956Z] [INFO]
📊 Comment counting conditions:
[2025-12-04T06:52:42.957Z] [INFO] prNumber: 29
[2025-12-04T06:52:42.958Z] [INFO] branchName: issue-28-397ada389b8b
[2025-12-04T06:52:42.958Z] [INFO] isContinueMode: false
[2025-12-04T06:52:42.959Z] [INFO] Will count comments: true
[2025-12-04T06:52:42.959Z] [INFO] 💬 Counting comments: Checking for new comments since last commit...
[2025-12-04T06:52:42.959Z] [INFO] PR #29 on branch: issue-28-397ada389b8b
[2025-12-04T06:52:42.961Z] [INFO] Owner/Repo: uselessgoddess/dunes
[2025-12-04T06:52:43.828Z] [INFO] 📅 Last commit time (from API): 2025-12-04T06:52:31.000Z
[2025-12-04T06:52:45.048Z] [INFO] 💬 New PR comments: 0
[2025-12-04T06:52:45.050Z] [INFO] 💬 New issue comments: 0
[2025-12-04T06:52:45.051Z] [INFO] Total new comments: 0
[2025-12-04T06:52:45.053Z] [INFO] Comment lines to add: No (saving tokens)
[2025-12-04T06:52:45.053Z] [INFO] PR review comments fetched: 0
[2025-12-04T06:52:45.054Z] [INFO] PR conversation comments fetched: 0
[2025-12-04T06:52:45.054Z] [INFO] Total PR comments checked: 0
[2025-12-04T06:52:48.899Z] [INFO] Feedback info will be added to prompt:
[2025-12-04T06:52:48.900Z] [INFO] - Pull request description was edited after last commit
[2025-12-04T06:52:48.900Z] [INFO] 📅 Getting timestamps: From GitHub servers...
[2025-12-04T06:52:49.341Z] [INFO] 📝 Issue updated: 2025-12-03T20:51:03.000Z
[2025-12-04T06:52:49.773Z] [INFO] 💬 Comments: None found
[2025-12-04T06:52:50.244Z] [INFO] 🔀 Recent PR: 2025-12-04T06:52:39.000Z
[2025-12-04T06:52:50.246Z] [INFO]
✅ Reference time: 2025-12-04T06:52:39.000Z
[2025-12-04T06:52:50.248Z] [INFO]
🔍 Checking for uncommitted changes to include as feedback...
[2025-12-04T06:52:50.282Z] [INFO] ✅ No uncommitted changes found
[2025-12-04T06:52:50.716Z] [INFO] 📦 Fork workflows detected: https://github.com/konard/uselessgoddess-dunes/actions?query=branch%3Aissue-28-397ada389b8b
[2025-12-04T06:52:50.727Z] [INFO]
📝 Final prompt structure:
[2025-12-04T06:52:50.728Z] [INFO] Characters: 489
[2025-12-04T06:52:50.728Z] [INFO] System prompt characters: 8460
[2025-12-04T06:52:50.728Z] [INFO] Feedback info: Included
[2025-12-04T06:52:50.732Z] [INFO]
🤖 Executing Claude: SONNET
[2025-12-04T06:52:50.732Z] [INFO] Model: sonnet
[2025-12-04T06:52:50.732Z] [INFO] Working directory: /tmp/gh-issue-solver-1764831144502
[2025-12-04T06:52:50.733Z] [INFO] Branch: issue-28-397ada389b8b
[2025-12-04T06:52:50.733Z] [INFO] Prompt length: 489 chars
[2025-12-04T06:52:50.733Z] [INFO] System prompt length: 8460 chars
[2025-12-04T06:52:50.734Z] [INFO] Feedback info included: Yes (1 lines)
[2025-12-04T06:52:50.783Z] [INFO] 📈 System resources before execution:
[2025-12-04T06:52:50.785Z] [INFO] Memory: MemFree: 642976 kB
[2025-12-04T06:52:50.785Z] [INFO] Load: 0.60 0.27 0.18 4/797 1595271
[2025-12-04T06:52:50.786Z] [INFO]
📝 Raw command:
[2025-12-04T06:52:50.786Z] [INFO] (cd "/tmp/gh-issue-solver-1764831144502" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-sonnet-4-5-20250929 -p "Issue to solve: https://github.com/uselessgoddess/dunes/issues/28
Your prepared branch: issue-28-397ada389b8b
Your prepared working directory: /tmp/gh-issue-solver-1764831144502
Your prepared Pull Request: https://github.com/uselessgoddess/dunes/pull/29
Your forked repository: konard/uselessgoddess-dunes
Original repository (upstream): uselessgoddess/dunes
GitHub Actions on your fork: https://github.com/konard/uselessgoddess-dunes/actions?query=branch%3Aissue-28-397ada389b8b
Proceed." --append-system-prompt "You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements.
General guidelines.
- When you execute commands, always save their logs to files for easier reading if the output becomes large.
- When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file.
- When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command.
- When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps:
Step 1: List recent runs with timestamps using: gh run list --repo uselessgoddess/dunes --branch issue-28-397ada389b8b --limit 5 --json databaseId,conclusion,createdAt,headSha
Step 2: Verify runs are after the latest commit by checking timestamps and SHA
Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo uselessgoddess/dunes --log > ci-logs/{workflow}-{run-id}.log
Step 4: Read each downloaded log file using Read tool to understand the actual failures
Step 5: Report findings with specific errors and line numbers from logs
This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR.
Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy.
- When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.
- When facing a complex problem, do as much tracing as possible and turn on all verbose modes.
- When you create debug, test, or example/experiment scripts for fixing, always keep them in an examples and/or experiments folders so you can reuse them later.
- When testing your assumptions, use the experiment scripts, and add it to experiments folder.
- When your experiments can show real world use case of the software, add it to examples folder.
- When you face something extremely hard, use divide and conquer — it always helps.
Initial research.
- When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.
- When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs.
- When you read issue, read all details and comments thoroughly.
- When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it.
- When you need issue details, use gh issue view https://github.com/uselessgoddess/dunes/issues/28.
- When you need related code, use gh search code --owner uselessgoddess [keywords].
- When you need repo context, read files in your working directory.
- When you study related work, study the most recent related pull requests.
- When issue is not defined enough, write a comment to ask clarifying questions.
- When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication.
- When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.
- When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.
- When you need latest comments on pull request (sorted newest first), use appropriate GitHub API commands.
- When you need latest comments on issue (sorted newest first), use appropriate GitHub API commands.
Solution development and testing.
- When issue is solvable, implement code with tests.
- When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.
- When you test:
start from testing of small functions using separate scripts;
write unit tests with mocks for easy and quick start.
- When you test integrations, use existing framework.
- When you test solution draft, include automated checks in pr.
- When issue is unclear, write comment on issue asking questions.
- When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help.
- When you need human help, use gh pr comment 29 --body \"your message\" to comment on existing PR.
Preparing pull request.
- When you code, follow contributing guidelines.
- When you commit, write clear message.
- When you need examples of style, use gh pr list --repo uselessgoddess/dunes --state merged --search [keywords].
- When you open pr, describe solution draft and include tests.
- When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release.
- When you update existing pr 29, use gh pr edit to modify title and description.
- When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing.
- When you finalize the pull request:
follow style from merged prs for code, title, and description,
make sure no uncommitted changes corresponding to the original requirements are left behind,
make sure the default branch is merged to the pull request's branch,
make sure all CI checks passing if they exist before you finish,
double-check that all changes in the pull request answer to original requirements of the issue,
make sure no new new bugs are introduced in pull request by carefully reading gh pr diff,
make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.
- When you finish implementation, use gh pr ready 29.
Workflow and collaboration.
- When you check branch, verify with git branch --show-current.
- When you push, push only to branch issue-28-397ada389b8b.
- When you finish, create a pull request from branch issue-28-397ada389b8b. (Note: PR 29 already exists, update it instead)
- When you organize workflow, use pull requests instead of direct merges to default branch (main or master).
- When you manage commits, preserve commit history for later analysis.
- When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.
- When you face conflict that you cannot resolve yourself, ask for help.
- When you collaborate, respect branch protections by working only on issue-28-397ada389b8b.
- When you mention result, include pull request url or comment url.
- When you need to create pr, remember pr 29 already exists for this branch.
Self review.
- When you check your solution draft, run all tests locally.
- When you compare with repo style, use gh pr diff [number].
- When you finalize, confirm code, tests, and description are consistent." | jq -c .)
[2025-12-04T06:52:50.787Z] [INFO]
[2025-12-04T06:52:50.788Z] [INFO] 📋 User prompt:
[2025-12-04T06:52:50.788Z] [INFO] ---BEGIN USER PROMPT---
[2025-12-04T06:52:50.789Z] [INFO] Issue to solve: https://github.com/uselessgoddess/dunes/issues/28
Your prepared branch: issue-28-397ada389b8b
Your prepared working directory: /tmp/gh-issue-solver-1764831144502
Your prepared Pull Request: https://github.com/uselessgoddess/dunes/pull/29
Your forked repository: konard/uselessgoddess-dunes
Original repository (upstream): uselessgoddess/dunes
GitHub Actions on your fork: https://github.com/konard/uselessgoddess-dunes/actions?query=branch%3Aissue-28-397ada389b8b
Proceed.
[2025-12-04T06:52:50.789Z] [INFO] ---END USER PROMPT---
[2025-12-04T06:52:50.789Z] [INFO]
[2025-12-04T06:52:50.791Z] [INFO] 📋 System prompt:
[2025-12-04T06:52:50.791Z] [INFO] ---BEGIN SYSTEM PROMPT---
[2025-12-04T06:52:50.792Z] [INFO] You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements.
General guidelines.
- When you execute commands, always save their logs to files for easier reading if the output becomes large.
- When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file.
- When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command.
- When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps:
Step 1: List recent runs with timestamps using: gh run list --repo uselessgoddess/dunes --branch issue-28-397ada389b8b --limit 5 --json databaseId,conclusion,createdAt,headSha
Step 2: Verify runs are after the latest commit by checking timestamps and SHA
Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo uselessgoddess/dunes --log > ci-logs/{workflow}-{run-id}.log
Step 4: Read each downloaded log file using Read tool to understand the actual failures
Step 5: Report findings with specific errors and line numbers from logs
This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR.
Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy.
- When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.
- When facing a complex problem, do as much tracing as possible and turn on all verbose modes.
- When you create debug, test, or example/experiment scripts for fixing, always keep them in an examples and/or experiments folders so you can reuse them later.
- When testing your assumptions, use the experiment scripts, and add it to experiments folder.
- When your experiments can show real world use case of the software, add it to examples folder.
- When you face something extremely hard, use divide and conquer — it always helps.
Initial research.
- When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.
- When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs.
- When you read issue, read all details and comments thoroughly.
- When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it.
- When you need issue details, use gh issue view https://github.com/uselessgoddess/dunes/issues/28.
- When you need related code, use gh search code --owner uselessgoddess [keywords].
- When you need repo context, read files in your working directory.
- When you study related work, study the most recent related pull requests.
- When issue is not defined enough, write a comment to ask clarifying questions.
- When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication.
- When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.
- When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.
- When you need latest comments on pull request (sorted newest first), use appropriate GitHub API commands.
- When you need latest comments on issue (sorted newest first), use appropriate GitHub API commands.
Solution development and testing.
- When issue is solvable, implement code with tests.
- When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.
- When you test:
start from testing of small functions using separate scripts;
write unit tests with mocks for easy and quick start.
- When you test integrations, use existing framework.
- When you test solution draft, include automated checks in pr.
- When issue is unclear, write comment on issue asking questions.
- When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help.
- When you need human help, use gh pr comment 29 --body "your message" to comment on existing PR.
Preparing pull request.
- When you code, follow contributing guidelines.
- When you commit, write clear message.
- When you need examples of style, use gh pr list --repo uselessgoddess/dunes --state merged --search [keywords].
- When you open pr, describe solution draft and include tests.
- When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release.
- When you update existing pr 29, use gh pr edit to modify title and description.
- When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing.
- When you finalize the pull request:
follow style from merged prs for code, title, and description,
make sure no uncommitted changes corresponding to the original requirements are left behind,
make sure the default branch is merged to the pull request's branch,
make sure all CI checks passing if they exist before you finish,
double-check that all changes in the pull request answer to original requirements of the issue,
make sure no new new bugs are introduced in pull request by carefully reading gh pr diff,
make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.
- When you finish implementation, use gh pr ready 29.
Workflow and collaboration.
- When you check branch, verify with git branch --show-current.
- When you push, push only to branch issue-28-397ada389b8b.
- When you finish, create a pull request from branch issue-28-397ada389b8b. (Note: PR 29 already exists, update it instead)
- When you organize workflow, use pull requests instead of direct merges to default branch (main or master).
- When you manage commits, preserve commit history for later analysis.
- When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.
- When you face conflict that you cannot resolve yourself, ask for help.
- When you collaborate, respect branch protections by working only on issue-28-397ada389b8b.
- When you mention result, include pull request url or comment url.
- When you need to create pr, remember pr 29 already exists for this branch.
Self review.
- When you check your solution draft, run all tests locally.
- When you compare with repo style, use gh pr diff [number].
- When you finalize, confirm code, tests, and description are consistent.
[2025-12-04T06:52:50.793Z] [INFO] ---END SYSTEM PROMPT---
[2025-12-04T06:52:50.794Z] [INFO]
[2025-12-04T06:52:50.795Z] [INFO] 📋 Command details:
[2025-12-04T06:52:50.796Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1764831144502
[2025-12-04T06:52:50.796Z] [INFO] 🌿 Branch: issue-28-397ada389b8b
[2025-12-04T06:52:50.796Z] [INFO] 🤖 Model: Claude SONNET
[2025-12-04T06:52:50.796Z] [INFO] 🍴 Fork: konard/uselessgoddess-dunes
[2025-12-04T06:52:50.797Z] [INFO]
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"content": " 1→mod common;\n 2→\n 3→use {\n 4→ common::Store,\n 5→ criterion::{Criterion, black_box, criterion_group, criterion_main},\n 6→ trees::{Idx, Tree},\n 7→};\n 8→\n 9→/// Trait for tree stores that can be reset and created\n 10→trait BenchStore<T: Idx>: Tree<T> {\n 11→ fn new(capacity: usize) -> Self;\n 12→ fn reset(&mut self);\n 13→}\n 14→\n 15→impl<T: Idx> BenchStore<T> for Store<T> {\n 16→ fn new(capacity: usize) -> Self {\n 17→ Store::new(capacity)\n 18→ }\n 19→\n 20→ fn reset(&mut self) {\n 21→ Store::reset(self)\n 22→ }\n 23→}\n 24→\n 25→impl<T: Idx> BenchStore<T> for common::ArtStore<T> {\n 26→ fn new(capacity: usize) -> Self {\n 27→ common::ArtStore::new(capacity)\n 28→ }\n 29→\n 30→ fn reset(&mut self) {\n 31→ common::ArtStore::reset(self)\n 32→ }\n 33→}\n 34→\n 35→// Helper function for insert benchmarks\n 36→fn bench_insert_impl<S, T>(n: usize) -> impl FnMut()\n 37→where\n 38→ S: BenchStore<T>,\n 39→ T: Idx + From<usize>,\n 40→{\n 41→ let mut store = S::new(n);\n 42→ move || {\n 43→ let mut root = None;\n 44→ for i in 1..n {\n 45→ root = store.insert(root, T::from(i));\n 46→ }\n 47→ black_box(root);\n 48→ store.reset();\n 49→ }\n 50→}\n 51→\n 52→// Helper function for insert and search benchmarks\n 53→fn bench_insert_and_search_impl<S, T>(n: usize) -> impl FnMut()\n 54→where\n 55→ S: BenchStore<T>,\n 56→ T: Idx + From<usize>,\n 57→{\n 58→ let mut store = S::new(n);\n 59→ move || {\n 60→ let mut root = None;\n 61→ for i in 1..n {\n 62→ root = store.insert(root, T::from(i));\n 63→ }\n 64→ for i in 1..n {\n 65→ black_box(store.contains(root.unwrap(), T::from(i)));\n 66→ }\n 67→ store.reset();\n 68→ }\n 69→}\n 70→\n 71→// Helper function for full cycle benchmarks\n 72→fn bench_insert_remove_impl<S, T>(n: usize) -> impl FnMut()\n 73→where\n 74→ S: BenchStore<T>,\n 75→ T: Idx + From<usize>,\n 76→{\n 77→ let mut store = S::new(n);\n 78→ move || {\n 79→ let mut root = None;\n 80→ for i in 1..n {\n 81→ root = store.insert(root, T::from(i));\n 82→ }\n 83→ for i in 1..n {\n 84→ root = store.remove(root, T::from(i));\n 85→ }\n 86→ black_box(root);\n 87→ store.reset();\n 88→ }\n 89→}\n 90→\n 91→fn sbt_benchmarks(c: &mut Criterion) {\n 92→ c.bench_function(\"sbt_insert_100\", |b| {\n 93→ b.iter(bench_insert_impl::<Store<usize>, usize>(100))\n 94→ });\n 95→\n 96→ c.bench_function(\"sbt_insert_1000\", |b| {\n 97→ b.iter(bench_insert_impl::<Store<usize>, usize>(1_000))\n 98→ });\n 99→\n 100→ c.bench_function(\"sbt_insert_10000\", |b| {\n 101→ b.iter(bench_insert_impl::<Store<usize>, usize>(10_000))\n 102→ });\n 103→\n 104→ c.bench_function(\"sbt_insert_search_100\", |b| {\n 105→ b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(100))\n 106→ });\n 107→\n 108→ c.bench_function(\"sbt_insert_search_1000\", |b| {\n 109→ b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(1_000))\n 110→ });\n 111→\n 112→ c.bench_function(\"sbt_insert_search_10000\", |b| {\n 113→ b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(10_000))\n 114→ });\n 115→\n 116→ c.bench_function(\"sbt_full_cycle_100\", |b| {\n 117→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(100))\n 118→ });\n 119→\n 120→ c.bench_function(\"sbt_full_cycle_1000\", |b| {\n 121→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n 122→ });\n 123→}\n 124→\n 125→fn art_benchmarks(c: &mut Criterion) {\n 126→ c.bench_function(\"art_insert_100\", |b| {\n 127→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(100))\n 128→ });\n 129→\n 130→ c.bench_function(\"art_insert_1000\", |b| {\n 131→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(1_000))\n 132→ });\n 133→\n 134→ c.bench_function(\"art_insert_10000\", |b| {\n 135→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(10_000))\n 136→ });\n 137→\n 138→ c.bench_function(\"art_insert_search_100\", |b| {\n 139→ b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(100))\n 140→ });\n 141→\n 142→ c.bench_function(\"art_insert_search_1000\", |b| {\n 143→ b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 144→ 1_000,\n 145→ ))\n 146→ });\n 147→\n 148→ c.bench_function(\"art_insert_search_10000\", |b| {\n 149→ b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 150→ 10_000,\n 151→ ))\n 152→ });\n 153→\n 154→ c.bench_function(\"art_full_cycle_100\", |b| {\n 155→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(100))\n 156→ });\n 157→\n 158→ c.bench_function(\"art_full_cycle_1000\", |b| {\n 159→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n 160→ });\n 161→}\n 162→\n 163→criterion_group!(benches, sbt_benchmarks, art_benchmarks);\n 164→criterion_main!(benches);\n 165→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "mod common;\n\nuse {\n common::Store,\n criterion::{Criterion, black_box, criterion_group, criterion_main},\n trees::{Idx, Tree},\n};\n\n/// Trait for tree stores that can be reset and created\ntrait BenchStore<T: Idx>: Tree<T> {\n fn new(capacity: usize) -> Self;\n fn reset(&mut self);\n}\n\nimpl<T: Idx> BenchStore<T> for Store<T> {\n fn new(capacity: usize) -> Self {\n Store::new(capacity)\n }\n\n fn reset(&mut self) {\n Store::reset(self)\n }\n}\n\nimpl<T: Idx> BenchStore<T> for common::ArtStore<T> {\n fn new(capacity: usize) -> Self {\n common::ArtStore::new(capacity)\n }\n\n fn reset(&mut self) {\n common::ArtStore::reset(self)\n }\n}\n\n// Helper function for insert benchmarks\nfn bench_insert_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n black_box(root);\n store.reset();\n }\n}\n\n// Helper function for insert and search benchmarks\nfn bench_insert_and_search_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n for i in 1..n {\n black_box(store.contains(root.unwrap(), T::from(i)));\n }\n store.reset();\n }\n}\n\n// Helper function for full cycle benchmarks\nfn bench_insert_remove_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n for i in 1..n {\n root = store.remove(root, T::from(i));\n }\n black_box(root);\n store.reset();\n }\n}\n\nfn sbt_benchmarks(c: &mut Criterion) {\n c.bench_function(\"sbt_insert_100\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_insert_1000\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_insert_10000\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(10_000))\n });\n\n c.bench_function(\"sbt_insert_search_100\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_insert_search_1000\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_insert_search_10000\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(10_000))\n });\n\n c.bench_function(\"sbt_full_cycle_100\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n });\n}\n\nfn art_benchmarks(c: &mut Criterion) {\n c.bench_function(\"art_insert_100\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_insert_1000\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n\n c.bench_function(\"art_insert_10000\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(10_000))\n });\n\n c.bench_function(\"art_insert_search_100\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_insert_search_1000\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 1_000,\n ))\n });\n\n c.bench_function(\"art_insert_search_10000\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 10_000,\n ))\n });\n\n c.bench_function(\"art_full_cycle_100\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n}\n\ncriterion_group!(benches, sbt_benchmarks, art_benchmarks);\ncriterion_main!(benches);\n",
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[2025-12-04T06:53:31.592Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TtfewZQfMQMwaEe4tojghx","type":"tool_result","content":" 1→use trees::{AdaptiveRadix, Idx, Node, SizeBalanced, Tree};\n 2→\n 3→/// Vector-backed tree store for testing and benchmarking.\n 4→/// Generic over the tree implementation strategy.\n 5→#[derive(Debug, Clone)]\n 6→pub struct Store<T> {\n 7→ nodes: Vec<Node<T>>,\n 8→}\n 9→\n 10→impl<T> Store<T> {\n 11→ pub fn new(capacity: usize) -> Self {\n 12→ Self { nodes: (0..capacity).map(|_| Node::default()).collect() }\n 13→ }\n 14→\n 15→ #[inline]\n 16→ #[allow(dead_code)]\n 17→ pub fn nodes(&self) -> &[Node<T>] {\n 18→ &self.nodes\n 19→ }\n 20→\n 21→ pub fn reset(&mut self) {\n 22→ for node in &mut self.nodes {\n 23→ *node = Node::default();\n 24→ }\n 25→ }\n 26→}\n 27→\n 28→// Base Tree trait implementation\n 29→impl<T: Idx> Tree<T> for Store<T> {\n 30→ #[inline(always)]\n 31→ fn get(&self, idx: T) -> Option<Node<T>> {\n 32→ self.nodes.get(idx.as_usize()).copied()\n 33→ }\n 34→\n 35→ #[inline(always)]\n 36→ fn set(&mut self, idx: T, node: Node<T>) {\n 37→ if let Some(slot) = self.nodes.get_mut(idx.as_usize()) {\n 38→ *slot = node;\n 39→ }\n 40→ }\n 41→\n 42→ #[inline(always)]\n 43→ fn left_mut(&mut self, idx: T) -> Option<&mut T> {\n 44→ self.nodes.get_mut(idx.as_usize())?.left.as_mut()\n 45→ }\n 46→\n 47→ #[inline(always)]\n 48→ fn right_mut(&mut self, idx: T) -> Option<&mut T> {\n 49→ self.nodes.get_mut(idx.as_usize())?.right.as_mut()\n 50→ }\n 51→\n 52→ #[inline(always)]\n 53→ fn is_left_of(&self, first: T, second: T) -> bool {\n 54→ first.as_usize() < second.as_usize()\n 55→ }\n 56→\n 57→ // Default implementation - will be overridden by strategy traits\n 58→ fn insert(&mut self, root: Option<T>, idx: T) -> Option<T> {\n 59→ self.insert_sbt(root, idx)\n 60→ }\n 61→\n 62→ fn remove(&mut self, root: Option<T>, idx: T) -> Option<T> {\n 63→ self.remove_sbt(root, idx)\n 64→ }\n 65→}\n 66→\n 67→// SBT strategy\n 68→impl<T: Idx> SizeBalanced<T> for Store<T> {}\n 69→\n 70→// ART strategy\n 71→impl<T: Idx> AdaptiveRadix<T> for Store<T> {}\n 72→\n 73→/// ART-specific store that uses ART insert/remove by default\n 74→#[derive(Debug, Clone)]\n 75→pub struct ArtStore<T> {\n 76→ inner: Store<T>,\n 77→}\n 78→\n 79→impl<T> ArtStore<T> {\n 80→ pub fn new(capacity: usize) -> Self {\n 81→ Self { inner: Store::new(capacity) }\n 82→ }\n 83→\n 84→ pub fn reset(&mut self) {\n 85→ self.inner.reset()\n 86→ }\n 87→}\n 88→\n 89→impl<T: Idx> Tree<T> for ArtStore<T> {\n 90→ #[inline(always)]\n 91→ fn get(&self, idx: T) -> Option<Node<T>> {\n 92→ self.inner.get(idx)\n 93→ }\n 94→\n 95→ #[inline(always)]\n 96→ fn set(&mut self, idx: T, node: Node<T>) {\n 97→ self.inner.set(idx, node)\n 98→ }\n 99→\n 100→ #[inline(always)]\n 101→ fn left_mut(&mut self, idx: T) -> Option<&mut T> {\n 102→ self.inner.left_mut(idx)\n 103→ }\n 104→\n 105→ #[inline(always)]\n 106→ fn right_mut(&mut self, idx: T) -> Option<&mut T> {\n 107→ self.inner.right_mut(idx)\n 108→ }\n 109→\n 110→ #[inline(always)]\n 111→ fn is_left_of(&self, first: T, second: T) -> bool {\n 112→ self.inner.is_left_of(first, second)\n 113→ }\n 114→\n 115→ fn insert(&mut self, root: Option<T>, idx: T) -> Option<T> {\n 116→ self.insert_art(root, idx)\n 117→ }\n 118→\n 119→ fn remove(&mut self, root: Option<T>, idx: T) -> Option<T> {\n 120→ self.remove_art(root, idx)\n 121→ }\n 122→}\n 123→\n 124→impl<T: Idx> AdaptiveRadix<T> for ArtStore<T> {}\n 125→\n\n<system-reminder>\nWhenever you read a file, you should
[2025-12-04T06:53:31.628Z] [INFO] consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":"toolu_01AEFZDi5VvCFCuLFx2a4m4c","session_id":"a9624458-2ef8-4e3f-8c5a-515a8c464911","uuid":"55e1affb-f906-4e69-9382-f0886e1743ec","tool_use_result":{"type":"text","file":{"filePath":"/tmp/gh-issue-solver-1764831144502/crates/trees/benches/common/mod.rs","content":"use trees::{AdaptiveRadix, Idx, Node, SizeBalanced, Tree};\n\n/// Vector-backed tree store for testing and benchmarking.\n/// Generic over the tree implementation strategy.\n#[derive(Debug, Clone)]\npub struct Store<T> {\n nodes: Vec<Node<T>>,\n}\n\nimpl<T> Store<T> {\n pub fn new(capacity: usize) -> Self {\n Self { nodes: (0..capacity).map(|_| Node::default()).collect() }\n }\n\n #[inline]\n #[allow(dead_code)]\n pub fn nodes(&self) -> &[Node<T>] {\n &self.nodes\n }\n\n pub fn reset(&mut self) {\n for node in &mut self.nodes {\n *node = Node::default();\n }\n }\n}\n\n// Base Tree trait implementation\nimpl<T: Idx> Tree<T> for Store<T> {\n #[inline(always)]\n fn get(&self, idx: T) -> Option<Node<T>> {\n self.nodes.get(idx.as_usize()).copied()\n }\n\n #[inline(always)]\n fn set(&mut self, idx: T, node: Node<T>) {\n if let Some(slot) = self.nodes.get_mut(idx.as_usize()) {\n *slot = node;\n }\n }\n\n #[inline(always)]\n fn left_mut(&mut self, idx: T) -> Option<&mut T> {\n self.nodes.get_mut(idx.as_usize())?.left.as_mut()\n }\n\n #[inline(always)]\n fn right_mut(&mut self, idx: T) -> Option<&mut T> {\n self.nodes.get_mut(idx.as_usize())?.right.as_mut()\n }\n\n #[inline(always)]\n fn is_left_of(&self, first: T, second: T) -> bool {\n first.as_usize() < second.as_usize()\n }\n\n // Default implementation - will be overridden by strategy traits\n fn insert(&mut self, root: Option<T>, idx: T) -> Option<T> {\n self.insert_sbt(root, idx)\n }\n\n fn remove(&mut self, root: Option<T>, idx: T) -> Option<T> {\n self.remove_sbt(root, idx)\n }\n}\n\n// SBT strategy\nimpl<T: Idx> SizeBalanced<T> for Store<T> {}\n\n// ART strategy\nimpl<T: Idx> AdaptiveRadix<T> for Store<T> {}\n\n/// ART-specific store that uses ART insert/remove by default\n#[derive(Debug, Clone)]\npub struct ArtStore<T> {\n inner: Store<T>,\n}\n\nimpl<T> ArtStore<T> {\n pub fn new(capacity: usize) -> Self {\n Self { inner: Store::new(capacity) }\n }\n\n pub fn reset(&mut self) {\n self.inner.reset()\n }\n}\n\nimpl<T: Idx> Tree<T> for ArtStore<T> {\n #[inline(always)]\n fn get(&self, idx: T) -> Option<Node<T>> {\n self.inner.get(idx)\n }\n\n #[inline(always)]\n fn set(&mut self, idx: T, node: Node<T>) {\n self.inner.set(idx, node)\n }\n\n #[inline(always)]\n fn left_mut(&mut self, idx: T) -> Option<&mut T> {\n self.inner.left_mut(idx)\n }\n\n #[inline(always)]\n fn right_mut(&mut self, idx: T) -> Option<&mut T> {\n self.inner.right_mut(idx)\n }\n\n #[inline(always)]\n fn is_left_of(&self, first: T, second: T) -> bool {\n self.inner.is_left_of(first, second)\n }\n\n fn insert(&mut self, root: Option<T>, idx: T) -> Option<T> {\n self.insert_art(root, idx)\n }\n\n fn remove(&mut self, root: Option<T>, idx: T) -> Option<T> {\n self.remove_art(root, idx)\n }\n}\n\nimpl<T: Idx> AdaptiveRadix<T> for ArtStore<T> {}\n","numLines":125,"startLine":1,"totalLines":125}}}
[2025-12-04T06:53:31.636Z] [INFO] {
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"content": " 1→#!/usr/bin/env python3\n 2→\"\"\"\n 3→Clean invalid (old) benchmark data from gh-pages.\n 4→\n 5→This script removes entries with old formats:\n 6→1. Entries with tool=\"cargo\" (ns/iter format)\n 7→2. Entries with tool=\"customBiggerIsBetter\" but unit=\"links/sec\" instead of \"M links/sec\"\n 8→\n 9→Only keeps entries with:\n 10→- tool=\"customBiggerIsBetter\"\n 11→- unit=\"M links/sec\"\n 12→- range format with \"±\" prefix\n 13→\"\"\"\n 14→\n 15→import json\n 16→import sys\n 17→\n 18→\n 19→def should_keep_entry(entry):\n 20→ \"\"\"\n 21→ Determine if a benchmark entry should be kept.\n 22→\n 23→ Keep only entries with the new format:\n 24→ - tool: \"customBiggerIsBetter\"\n 25→ - unit: \"M links/sec\" (million links per second)\n 26→ - range: with \"±\" prefix\n 27→ \"\"\"\n 28→ tool = entry.get('tool', '')\n 29→\n 30→ # Only keep custo**********etter entries\n 31→ if tool != 'customBiggerIsBetter':\n 32→ return False\n 33→\n 34→ # Check if all benches have the correct unit format\n 35→ benches = entry.get('benches', [])\n 36→ if not benches:\n 37→ return False\n 38→\n 39→ for bench in benches:\n 40→ unit = bench.get('unit', '')\n 41→ range_val = str(bench.get('range', ''))\n 42→\n 43→ # Must have \"M links/sec\" unit and \"±\" in range\n 44→ if unit != 'M links/sec':\n 45→ return False\n 46→ if '±' not in range_val:\n 47→ return False\n 48→\n 49→ return True\n 50→\n 51→\n 52→def clean_benchmark_data(input_file, output_file):\n 53→ \"\"\"Clean benchmark data file by removing old format entries.\"\"\"\n 54→\n 55→ # Read the JavaScript file\n 56→ with open(input_file, 'r') as f:\n 57→ content = f.read()\n 58→\n 59→ # Remove the JavaScript assignment to get pure JSON\n 60→ json_str = content.replace('window.BENCHMARK_DATA = ', '').strip()\n 61→\n 62→ # Parse JSON\n 63→ data = json.loads(json_str)\n 64→\n 65→ # Get original entries\n 66→ original_entries = data.get('entries', {}).get('Benchmark', [])\n 67→ original_count = len(original_entries)\n 68→\n 69→ print(f\"Original entries: {original_count}\")\n 70→\n 71→ # Filter entries\n 72→ cleaned_entries = []\n 73→ removed_entries = []\n 74→\n 75→ for i, entry in enumerate(original_entries):\n 76→ commit_id = entry.get('commit', {}).get('id', 'unknown')[:7]\n 77→ tool = entry.get('tool', 'unknown')\n 78→\n 79→ if should_keep_entry(entry):\n 80→ cleaned_entries.append(entry)\n 81→ print(f\" ✓ Keeping entry {i+1}: {commit_id} (tool={tool})\")\n 82→ else:\n 83→ removed_entries.append(entry)\n 84→ bench_count = len(entry.get('benches', []))\n 85→ units = set(b.get('unit', '') for b in entry.get('benches', []))\n 86→ print(f\" ✗ Removing entry {i+1}: {commit_id} (tool={tool}, units={units}, {bench_count} benches)\")\n 87→\n 88→ # Update data\n 89→ data['entries']['Benchmark'] = cleaned_entries\n 90→\n 91→ print(f\"\\nSummary:\")\n 92→ print(f\" Kept: {len(cleaned_entries)} entries\")\n 93→ print(f\" Removed: {len(removed_entries)} entries\")\n 94→\n 95→ # Write back to file with JavaScript assignment\n 96→ output_content = 'window.BENCHMARK_DATA = ' + json.dumps(data, indent=2) + '\\n'\n 97→\n 98→ with open(output_file, 'w') as f:\n 99→ f.write(output_content)\n 100→\n 101→ print(f\"\\nCleaned data written to: {output_file}\")\n 102→\n 103→ return len(cleaned_entries), len(removed_entries)\n 104→\n 105→\n 106→def main():\n 107→ if len(sys.argv) != 3:\n 108→ print(f\"Usage: {sys.argv[0]} <input_file> <output_file>\")\n 109→ sys.exit(1)\n 110→\n 111→ input_file = sys.argv[1]\n 112→ output_file = sys.argv[2]\n 113→\n 114→ kept, removed = clean_benchmark_data(input_file, output_file)\n 115→\n 116→ if removed > 0:\n 117→ print(f\"\\n✓ Successfully cleaned {removed} old format entries\")\n 118→ sys.exit(0)\n 119→ else:\n 120→ print(f\"\\n✓ No old format entries found, data is already clean\")\n 121→ sys.exit(0)\n 122→\n 123→\n 124→if __name__ == '__main__':\n 125→ main()\n 126→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#!/usr/bin/env python3\n\"\"\"\nClean invalid (old) benchmark data from gh-pages.\n\nThis script removes entries with old formats:\n1. Entries with tool=\"cargo\" (ns/iter format)\n2. Entries with tool=\"customBiggerIsBetter\" but unit=\"links/sec\" instead of \"M links/sec\"\n\nOnly keeps entries with:\n- tool=\"customBiggerIsBetter\"\n- unit=\"M links/sec\"\n- range format with \"±\" prefix\n\"\"\"\n\nimport json\nimport sys\n\n\ndef should_keep_entry(entry):\n \"\"\"\n Determine if a benchmark entry should be kept.\n\n Keep only entries with the new format:\n - tool: \"customBiggerIsBetter\"\n - unit: \"M links/sec\" (million links per second)\n - range: with \"±\" prefix\n \"\"\"\n tool = entry.get('tool', '')\n\n # Only keep custo**********etter entries\n if tool != 'customBiggerIsBetter':\n return False\n\n # Check if all benches have the correct unit format\n benches = entry.get('benches', [])\n if not benches:\n return False\n\n for bench in benches:\n unit = bench.get('unit', '')\n range_val = str(bench.get('range', ''))\n\n # Must have \"M links/sec\" unit and \"±\" in range\n if unit != 'M links/sec':\n return False\n if '±' not in range_val:\n return False\n\n return True\n\n\ndef clean_benchmark_data(input_file, output_file):\n \"\"\"Clean benchmark data file by removing old format entries.\"\"\"\n\n # Read the JavaScript file\n with open(input_file, 'r') as f:\n content = f.read()\n\n # Remove the JavaScript assignment to get pure JSON\n json_str = content.replace('window.BENCHMARK_DATA = ', '').strip()\n\n # Parse JSON\n data = json.loads(json_str)\n\n # Get original entries\n original_entries = data.get('entries', {}).get('Benchmark', [])\n original_count = len(original_entries)\n\n print(f\"Original entries: {original_count}\")\n\n # Filter entries\n cleaned_entries = []\n removed_entries = []\n\n for i, entry in enumerate(original_entries):\n commit_id = entry.get('commit', {}).get('id', 'unknown')[:7]\n tool = entry.get('tool', 'unknown')\n\n if should_keep_entry(entry):\n cleaned_entries.append(entry)\n print(f\" ✓ Keeping entry {i+1}: {commit_id} (tool={tool})\")\n else:\n removed_entries.append(entry)\n bench_count = len(entry.get('benches', []))\n units = set(b.get('unit', '') for b in entry.get('benches', []))\n print(f\" ✗ Removing entry {i+1}: {commit_id} (tool={tool}, units={units}, {bench_count} benches)\")\n\n # Update data\n data['entries']['Benchmark'] = cleaned_entries\n\n print(f\"\\nSummary:\")\n print(f\" Kept: {len(cleaned_entries)} entries\")\n print(f\" Removed: {len(removed_entries)} entries\")\n\n # Write back to file with JavaScript assignment\n output_content = 'window.BENCHMARK_DATA = ' + json.dumps(data, indent=2) + '\\n'\n\n with open(output_file, 'w') as f:\n f.write(output_content)\n\n print(f\"\\nCleaned data written to: {output_file}\")\n\n return len(cleaned_entries), len(removed_entries)\n\n\ndef main():\n if len(sys.argv) != 3:\n print(f\"Usage: {sys.argv[0]} <input_file> <output_file>\")\n sys.exit(1)\n\n input_file = sys.argv[1]\n output_file = sys.argv[2]\n\n kept, removed = clean_benchmark_data(input_file, output_file)\n\n if removed > 0:\n print(f\"\\n✓ Successfully cleaned {removed} old format entries\")\n sys.exit(0)\n else:\n print(f\"\\n✓ No old format entries found, data is already clean\")\n sys.exit(0)\n\n\nif __name__ == '__main__':\n main()\n",
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[2025-12-04T06:53:31.638Z] [INFO] {
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{
"tool_use_id": "toolu_01BrU6vSDauoMfvi992FMCmD",
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"content": " 1→#!/usr/bin/env python3\n 2→\"\"\"\n 3→Convert cargo bench output to custom JSON format with million links/second metric.\n 4→\n 5→For tree benchmarks, we want to show throughput (M links/sec) rather than\n 6→time (ns/iter), as it's more meaningful and readable for understanding performance.\n 7→Values like \"115.08 M links/sec\" are much easier to read than \"115076784 links/sec\".\n 8→\"\"\"\n 9→\n 10→import json\n 11→import re\n 12→import sys\n 13→\n 14→\n 15→def parse_bench_output(output_file):\n 16→ \"\"\"Parse cargo bench output and extract benchmark results.\"\"\"\n 17→ with open(output_file, 'r') as f:\n 18→ content = f.read()\n 19→\n 20→ # Pattern to match old cargo bench format:\n 21→ # test sbt_insert_100 ... bench: 2,715.35 ns/iter (+/- 958.21)\n 22→ old_pattern = r'test\\s+(\\w+)\\s+\\.\\.\\.\\s+bench:\\s+([\\d,]+(?:\\.\\d+)?)\\s+ns/iter\\s+\\(\\+/-\\s+([\\d,]+(?:\\.\\d+)?)\\)'\n 23→\n 24→ # Pattern to match criterion format:\n 25→ # sbt_insert_100 time: [2.7153 µs 2.7634 µs 2.8164 µs]\n 26→ criterion_pattern = r'(\\w+)\\s+time:\\s+\\[([0-9.]+)\\s+([µnm]?s)\\s+([0-9.]+)\\s+([µnm]?s)\\s+([0-9.]+)\\s+([µnm]?s)\\]'\n 27→\n 28→ results = []\n 29→\n 30→ # Try criterion format first\n 31→ for match in re.finditer(criterion_pattern, content):\n 32→ bench_name = match.group(1)\n 33→ time_low = float(match.group(2))\n 34→ unit_low = match.group(3)\n 35→ time_avg = float(match.group(4))\n 36→ unit_avg = match.group(5)\n 37→ time_high = float(match.group(6))\n 38→ unit_high = match.group(7)\n 39→\n 40→ # Convert to nanoseconds\n 41→ def to_ns(value, unit):\n 42→ if unit == 'ns':\n 43→ return value\n 44→ elif unit == 'µs' or unit == 'us':\n 45→ return value * 1000\n 46→ elif unit == 'ms':\n 47→ return value * 1_000_000\n 48→ elif unit == 's':\n 49→ return value * 1_000_000_000\n 50→ return value\n 51→\n 52→ time_ns = to_ns(time_avg, unit_avg)\n 53→ time_ns_low = to_ns(time_low, unit_low)\n 54→ time_ns_high = to_ns(time_high, unit_high)\n 55→ variance = (time_ns_high - time_ns_low) / 2\n 56→\n 57→ # Extract the number of operations from benchmark name\n 58→ # sbt_insert_100 -> 100 links\n 59→ # sbt_insert_1000 -> 1000 links\n 60→ # sbt_insert_10000 -> 10000 links\n 61→ # sbt_i***********h_100 -> 100 links (insert) + 100 links (search) = 200 operations\n 62→ # sbt_full_cycle_100 -> 100 links (insert) + 100 links (remove) = 200 operations\n 63→\n 64→ num_match = re.search(r'_(\\d+)$', bench_name)\n 65→ if not num_match:\n 66→ continue\n 67→\n 68→ n = int(num_match.group(1))\n 69→\n 70→ # Determine the number of operations based on benchmark type\n 71→ if 'insert_search' in bench_name:\n 72→ # Insert n elements, then search n elements\n 73→ num_operations = n + n\n 74→ elif 'full_cycle' in bench_name:\n 75→ # Insert n elements, then remove n elements\n 76→ num_operations = n + n\n 77→ else:\n 78→ # Just insert n elements\n 79→ num_operations = n\n 80→\n 81→ # Calculate links/second (throughput)\n 82→ # time_ns is time for num_operations operations\n 83→ # links/second = num_operations / (time_ns / 1e9)\n 84→ time_seconds = time_ns / 1e9\n 85→ links_per_second = num_operations / time_seconds\n 86→\n 87→ # Convert to million links per second for better readability\n 88→ milli**************econd = links_per_second / 1_000_000\n 89→\n 90→ # Calculate variance in links/second\n 91→ # If time varies by ± variance_ns, then throughput varies inversely\n 92→ time_low = (time_ns - variance) / 1e9\n 93→ time_high = (time_ns + variance) / 1e9\n 94→ links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n 95→ links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n 96→\n 97→ # Use the average of the differences as the range (in millions)\n 98→ range_value = (links_per_second_high - links_per_second_low) / 2 / 1_000_000\n 99→\n 100→ # Create a more descriptive name for the chart\n 101→ # Group benchmarks by operation type\n 102→ if 'insert_search' in bench_name:\n 103→ bench_type = 'Insert + Search'\n 104→ elif 'full_cycle' in bench_name:\n 105→ bench_type = 'Insert + Remove'\n 106→ elif 'insert' in bench_name:\n 107→ bench_type = 'Insert Only'\n 108→ else:\n 109→ bench_type = 'Unknown'\n 110→\n 111→ chart_name = f'{bench_type} ({n} elements)'\n 112→\n 113→ results.append({\n 114→ 'name': chart_name,\n 115→ 'unit': 'M links/sec',\n 116→ 'value': round(million_links_per_second, 2),\n 117→ 'range': f'± {round(range_value, 2)}',\n 118→ 'extra': f'{num_operations} operations in {time_ns:.2f} ns/iter'\n 119→ })\n 120→\n 121→ # If criterion format didn't match, try old format\n 122→ if not results:\n 123→ for match in re.finditer(old_pattern, content):\n 124→ bench_name = match.group(1)\n 125→ time_ns = float(match.group(2).replace(',', ''))\n 126→ variance = float(match.group(3).replace(',', ''))\n 127→\n 128→ # Extract the number of operations from benchmark name\n 129→ num_match = re.search(r'_(\\d+)$', bench_name)\n 130→ if not num_match:\n 131→ continue\n 132→\n 133→ n = int(num_match.group(1))\n 134→\n 135→ # Determine the number of operations based on benchmark type\n 136→ if 'insert_search' in bench_name:\n 137→ num_operations = n + n\n 138→ elif 'full_cycle' in bench_name:\n 139→ num_operations = n + n\n 140→ else:\n 141→ num_operations = n\n 142→\n 143→ # Calculate links/second (throughput)\n 144→ time_seconds = time_ns / 1e9\n 145→ links_per_second = num_operations / time_seconds\n 146→\n 147→ # Calculate variance in links/second\n 148→ time_low = (time_ns - variance) / 1e9\n 149→ time_high = (time_ns + variance) / 1e9\n 150→ links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n 151→ links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n 152→ range_value = (links_per_second_high - links_per_second_low) / 2\n 153→\n 154→ # Create a more descriptive name for the chart\n 155→ if 'insert_search' in bench_name:\n 156→ bench_type = 'Insert + Search'\n 157→ elif 'full_cycle' in bench_name:\n 158→ bench_type = 'Insert + Remove'\n 159→ elif 'insert' in bench_name:\n 160→ bench_type = 'Insert Only'\n 161→ else:\n 162→ bench_type = 'Unknown'\n 163→\n 164→ chart_name = f'{bench_type} ({n} elements)'\n 165→\n 166→ results.append({\n 167→ 'name': chart_name,\n 168→ 'unit': 'links/sec',\n 169→ 'value': int(links_per_second),\n 170→ 'range': str(int(range_value)),\n 171→ 'extra': f'{num_operations} operations in {time_ns:.2f} ns/iter'\n 172→ })\n 173→\n 174→ return results\n 175→\n 176→\n 177→def main():\n 178→ if len(sys.argv) != 3:\n 179→ print(f\"Usage: {sys.argv[0]} <input_file> <output_file>\")\n 180→ sys.exit(1)\n 181→\n 182→ input_file = sys.argv[1]\n 183→ output_file = sys.argv[2]\n 184→\n 185→ results = parse_bench_output(input_file)\n 186→\n 187→ with open(output_file, 'w') as f:\n 188→ json.dump(results, f, indent=2)\n 189→\n 190→ print(f\"Converted {len(results)} benchmarks to {output_file}\")\n 191→ print(f\"Results: {json.dumps(results, indent=2)}\")\n 192→\n 193→\n 194→if __name__ == '__main__':\n 195→ main()\n 196→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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time_ns_low) / 2\n\n # Extract the number of operations from benchmark name\n # sbt_insert_100 -> 100 links\n # sbt_insert_1000 -> 1000 links\n # sbt_insert_10000 -> 10000 links\n # sbt_i***********h_100 -> 100 links (insert) + 100 links (search) = 200 operations\n # sbt_full_cycle_100 -> 100 links (insert) + 100 links (remove) = 200 operations\n\n num_match = re.search(r'_(\\d+)$', bench_name)\n if not num_match:\n continue\n\n n = int(num_match.group(1))\n\n # Determine the number of operations based on benchmark type\n if 'insert_search' in bench_name:\n # Insert n elements, then search n elements\n num_operations = n + n\n elif 'full_cycle' in bench_name:\n # Insert n elements, then remove n elements\n num_operations = n + n\n else:\n # Just insert n elements\n num_operations = n\n\n # Calculate links/second (throughput)\n # time_ns is time for num_operations operations\n # links/second = num_operations / (time_ns / 1e9)\n time_seconds = time_ns / 1e9\n links_per_second = num_operations / time_seconds\n\n # Convert to million links per second for better readability\n milli**************econd = links_per_second / 1_000_000\n\n # Calculate variance in links/second\n # If time varies by ± variance_ns, then throughput varies inversely\n time_low = (time_ns - variance) / 1e9\n time_high = (time_ns + variance) / 1e9\n links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n\n # Use the average of the differences as the range (in millions)\n range_value = (links_per_second_high - links_per_second_low) / 2 / 1_000_000\n\n # Create a more descriptive name for the chart\n # Group benchmarks by operation type\n if 'insert_search' in bench_name:\n bench_type = 'Insert + Search'\n elif 'full_cycle' in bench_name:\n bench_type = 'Insert + Remove'\n elif 'insert' in bench_name:\n bench_type = 'Insert Only'\n else:\n bench_type = 'Unknown'\n\n chart_name = f'{bench_type} ({n} elements)'\n\n results.append({\n 'name': chart_name,\n 'unit': 'M links/sec',\n 'value': round(million_links_per_second, 2),\n 'range': f'± {round(range_value, 2)}',\n 'extra': f'{num_operations} operations in {time_ns:.2f} ns/iter'\n })\n\n # If criterion format didn't match, try old format\n if not results:\n for match in re.finditer(old_pattern, content):\n bench_name = match.group(1)\n time_ns = float(match.group(2).replace(',', ''))\n variance = float(match.group(3).replace(',', ''))\n\n # Extract the number of operations from benchmark name\n num_match = re.search(r'_(\\d+)$', bench_name)\n if not num_match:\n continue\n\n n = int(num_match.group(1))\n\n # Determine the number of operations based on benchmark type\n if 'insert_search' in bench_name:\n num_operations = n + n\n elif 'full_cycle' in bench_name:\n num_operations = n + n\n else:\n num_operations = n\n\n # Calculate links/second (throughput)\n time_seconds = time_ns / 1e9\n links_per_second = num_operations / time_seconds\n\n # Calculate variance in links/second\n time_low = (time_ns - variance) / 1e9\n time_high = (time_ns + variance) / 1e9\n links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n range_value = (links_per_second_high - links_per_second_low) / 2\n\n # Create a more descriptive name for the chart\n if 'insert_search' in bench_name:\n bench_type = 'Insert + Search'\n elif 'full_cycle' in bench_name:\n bench_type = 'Insert + Remove'\n elif 'insert' in bench_name:\n bench_type = 'Insert Only'\n else:\n bench_type = 'Unknown'\n\n chart_name = f'{bench_type} ({n} elements)'\n\n results.append({\n 'name': chart_name,\n 'unit': 'links/sec',\n 'value': int(links_per_second),\n 'range': str(int(range_value)),\n 'extra': f'{num_operations} operations in {time_ns:.2f} ns/iter'\n })\n\n return results\n\n\ndef main():\n if len(sys.argv) != 3:\n print(f\"Usage: {sys.argv[0]} <input_file> <output_file>\")\n sys.exit(1)\n\n input_file = sys.argv[1]\n output_file = sys.argv[2]\n\n results = parse_bench_output(input_file)\n\n with open(output_file, 'w') as f:\n json.dump(results, f, indent=2)\n\n print(f\"Converted {len(results)} benchmarks to {output_file}\")\n print(f\"Results: {json.dumps(results, indent=2)}\")\n\n\nif __name__ == '__main__':\n main()\n",
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"content": " 1→name: Benchmark\n 2→\n 3→on:\n 4→ push:\n 5→ branches: [ main ]\n 6→ pull_request:\n 7→ branches: [ main ]\n 8→\n 9→permissions:\n 10→ contents: write\n 11→ deployments: write\n 12→\n 13→jobs:\n 14→ benchmark:\n 15→ name: Run benchmarks\n 16→ runs-on: ubuntu-latest\n 17→ steps:\n 18→ - uses: actions/checkout@v4\n 19→\n 20→ - name: Create gh-pages branch if it doesn't exist\n 21→ if: github.event_name == 'push' && github.ref == 'refs/heads/main'\n 22→ run: |\n 23→ git fetch origin gh-pages:gh-pages || (\n 24→ git config user.name \"github-actions[bot]\"\n 25→ git config user.email \"github-actions[bot]@users.noreply.github.com\"\n 26→ git checkout --orphan gh-pages\n 27→ git rm -rf .\n 28→ git commit --allow-empty -m \"Initialize gh-pages branch\"\n 29→ git push origin gh-pages\n 30→ git checkout main\n 31→ )\n 32→ continue-on-error: true\n 33→\n 34→ - uses: dtolnay/rust-toolchain@nightly\n 35→\n 36→ - name: Run benchmarks\n 37→ run: cargo bench --package trees --bench trees_bench | tee output.txt\n 38→\n 39→ - name: Convert benchmarks to custom format\n 40→ run: |\n 41→ python3 .github/scripts/format_benchmarks.py output.txt benchmark-results.json\n 42→ cat benchmark-results.json\n 43→\n 44→ - name: Store benchmark result (main branch only)\n 45→ uses: benchmark-action/github-action-benchmark@v1\n 46→ if: github.event_name == 'push' && github.ref == 'refs/heads/main'\n 47→ with:\n 48→ tool: 'customBiggerIsBetter'\n 49→ output-file-path: benchmark-results.json\n 50→ github-token: ${{ secrets.GITHUB_TOKEN }}\n 51→ auto-push: true\n 52→ # Show alert with commit comment on detecting possible performance regression\n 53→ alert-threshold: '150%'\n 54→ comment-on-alert: true\n 55→ fail-on-alert: false\n 56→ # Enable GitHub Pages deployment\n 57→ gh-pages-branch: gh-pages\n 58→ benchmark-data-dir-path: dev/bench\n 59→\n 60→ - name: Deploy root index.html to gh-pages (main branch only)\n 61→ if: github.event_name == 'push' && github.ref == 'refs/heads/main'\n 62→ run: |\n 63→ cp .github/pages-index.html /tmp/pages-index.html\n 64→ git fetch origin gh-pages:gh-pages\n 65→ git checkout gh-pages\n 66→ cp /tmp/pages-index.html index.html\n 67→ git config user.name \"github-actions[bot]\"\n 68→ git config user.email \"github-actions[bot]@users.noreply.github.com\"\n 69→ git add index.html\n 70→ git diff --staged --quiet || git commit -m \"Add root index.html for GitHub Pages\"\n 71→ git push origin gh-pages\n 72→ git checkout -\n 73→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": " 1→#![allow(unsafe_op_in_unsafe_fn)]\n 2→\n 3→mod art;\n 4→mod node;\n 5→mod sbt;\n 6→mod tree;\n 7→\n 8→pub use {\n 9→ art::{AdaptiveRadix, NodeType},\n 10→ node::{Idx, Node},\n 11→ sbt::SizeBalanced,\n 12→ tree::Tree,\n 13→};\n 14→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#![allow(unsafe_op_in_unsafe_fn)]\n\nmod art;\nmod node;\nmod sbt;\nmod tree;\n\npub use {\n art::{AdaptiveRadix, NodeType},\n node::{Idx, Node},\n sbt::SizeBalanced,\n tree::Tree,\n};\n",
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"content": " 1→use crate::{Idx, Node};\n 2→\n 3→/// Base trait for all tree implementations\n 4→///\n 5→/// Provides common operations that all tree types should support:\n 6→/// - Node access (get/set)\n 7→/// - Tree navigation (left/right children)\n 8→/// - Tree operations (insert, search, remove)\n 9→/// - Tree traversal helpers\n 10→pub trait Tree<T: Idx> {\n 11→ /// Get node at index\n 12→ fn get(&self, idx: T) -> Option<Node<T>>;\n 13→\n 14→ /// Set node at index\n 15→ fn set(&mut self, idx: T, node: Node<T>);\n 16→\n 17→ /// Get mutable reference to left child (if it exists)\n 18→ fn left_mut(&mut self, idx: T) -> Option<&mut T>;\n 19→\n 20→ /// Get mutable reference to right child (if it exists)\n 21→ fn right_mut(&mut self, idx: T) -> Option<&mut T>;\n 22→\n 23→ /// Compare two indices - true if first should be left of second\n 24→ fn is_left_of(&self, first: T, second: T) -> bool;\n 25→\n 26→ /// Compare two indices - true if first should be right of second\n 27→ #[inline]\n 28→ fn is_right_of(&self, first: T, second: T) -> bool {\n 29→ first != second && !self.is_left_of(first, second)\n 30→ }\n 31→\n 32→ /// Get left child index\n 33→ #[inline]\n 34→ fn left(&self, idx: T) -> Option<T> {\n 35→ self.get(idx)?.left\n 36→ }\n 37→\n 38→ /// Get right child index\n 39→ #[inline]\n 40→ fn right(&self, idx: T) -> Option<T> {\n 41→ self.get(idx)?.right\n 42→ }\n 43→\n 44→ /// Set left child\n 45→ #[inline]\n 46→ fn set_left(&mut self, idx: T, left: Option<T>) {\n 47→ if let Some(node) = self.get(idx) {\n 48→ self.set(idx, Node { left, ..node });\n 49→ }\n 50→ }\n 51→\n 52→ /// Set right child\n 53→ #[inline]\n 54→ fn set_right(&mut self, idx: T, right: Option<T>) {\n 55→ if let Some(node) = self.get(idx) {\n 56→ self.set(idx, Node { right, ..node });\n 57→ }\n 58→ }\n 59→\n 60→ /// Find the rightmost (maximum) node in subtree\n 61→ fn rightest(&self, mut current: T) -> T {\n 62→ while let Some(next) = self.right(current) {\n 63→ current = next;\n 64→ }\n 65→ current\n 66→ }\n 67→\n 68→ /// Find the leftmost (minimum) node in subtree\n 69→ fn leftest(&self, mut current: T) -> T {\n 70→ while let Some(next) = self.left(current) {\n 71→ current = next;\n 72→ }\n 73→ current\n 74→ }\n 75→\n 76→ /// Get in-order successor (next node in sorted order)\n 77→ #[inline]\n 78→ fn next(&self, idx: T) -> Option<T> {\n 79→ self.right(idx).map(|idx| self.leftest(idx))\n 80→ }\n 81→\n 82→ /// Get in-order predecessor (previous node in sorted order)\n 83→ #[inline]\n 84→ fn prev(&self, idx: T) -> Option<T> {\n 85→ self.left(idx).map(|idx| self.rightest(idx))\n 86→ }\n 87→\n 88→ /// Search for a node in the tree\n 89→ fn contains(&self, mut root: T, idx: T) -> bool {\n 90→ loop {\n 91→ if self.is_left_of(idx, root) {\n 92→ match self.left(root) {\n 93→ Some(next) => root = next,\n 94→ None => return false,\n 95→ }\n 96→ } else if self.is_right_of(idx, root) {\n 97→ match self.right(root) {\n 98→ Some(next) => root = next,\n 99→ None => return false,\n 100→ }\n 101→ } else {\n 102→ return true;\n 103→ }\n 104→ }\n 105→ }\n 106→\n 107→ /// Clear node (set to default)\n 108→ #[inline]\n 109→ fn clear(&mut self, idx: T) {\n 110→ self.set(idx, Node::default())\n 111→ }\n 112→\n 113→ /// Insert index into tree, returns new root\n 114→ fn insert(&mut self, root: Option<T>, idx: T) -> Option<T>;\n 115→\n 116→ /// Remove index from tree, returns new root (None if tree empty)\n 117→ fn remove(&mut self, root: Option<T>, idx: T) -> Option<T>;\n 118→}\n 119→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": " 1→use std::num::*;\n 2→\n 3→/// Index type for tree nodes - can be u8, u16, u32, u64, or NonZero variants\n 4→pub trait Idx: Copy + Eq {\n 5→ fn as_usize(self) -> usize;\n 6→ fn is_null(self) -> bool;\n 7→ fn null() -> Self;\n 8→}\n 9→\n 10→macro_rules! impl_idx {\n 11→ ($($ty:ty)*) => {$(\n 12→ impl Idx for $ty {\n 13→ #[inline]\n 14→ fn as_usize(self) -> usize {\n 15→ self as usize\n 16→ }\n 17→\n 18→ #[inline]\n 19→ fn is_null(self) -> bool {\n 20→ self == 0\n 21→ }\n 22→\n 23→ #[inline]\n 24→ fn null() -> Self {\n 25→ 0\n 26→ }\n 27→ }\n 28→ )*};\n 29→}\n 30→\n 31→macro_rules! impl_idx_nonzero {\n 32→ ($($ty:ty)*) => {$(\n 33→ impl Idx for $ty {\n 34→ #[inline]\n 35→ fn as_usize(self) -> usize {\n 36→ self.get() as usize\n 37→ }\n 38→\n 39→ #[inline]\n 40→ fn is_null(self) -> bool {\n 41→ false\n 42→ }\n 43→\n 44→ #[inline]\n 45→ fn null() -> Self {\n 46→ unreachable!(\"NonZero types use Option<T> for null\")\n 47→ }\n 48→ }\n 49→ )*};\n 50→}\n 51→\n 52→impl_idx! { u8 u16 u32 u64 usize }\n 53→impl_idx_nonzero! {\n 54→ NonZeroU8 NonZeroU16 NonZeroU32 NonZeroU64 NonZeroUsize\n 55→}\n 56→\n 57→/// Tree node structure - stores size and children\n 58→#[derive(Debug, Clone, Copy, PartialEq, Eq)]\n 59→#[repr(C)]\n 60→pub struct Node<T> {\n 61→ pub size: usize,\n 62→ pub left: Option<T>,\n 63→ pub right: Option<T>,\n 64→}\n 65→\n 66→impl<T> Default for Node<T> {\n 67→ fn default() -> Self {\n 68→ Self { size: 0, left: None, right: None }\n 69→ }\n 70→}\n 71→\n 72→impl<T> Node<T> {\n 73→ #[inline]\n 74→ pub fn new() -> Self {\n 75→ Self::default()\n 76→ }\n 77→\n 78→ #[inline]\n 79→ pub fn with_size(size: usize) -> Self {\n 80→ Self { size, left: None, right: None }\n 81→ }\n 82→}\n 83→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "use std::num::*;\n\n/// Index type for tree nodes - can be u8, u16, u32, u64, or NonZero variants\npub trait Idx: Copy + Eq {\n fn as_usize(self) -> usize;\n fn is_null(self) -> bool;\n fn null() -> Self;\n}\n\nmacro_rules! impl_idx {\n ($($ty:ty)*) => {$(\n impl Idx for $ty {\n #[inline]\n fn as_usize(self) -> usize {\n self as usize\n }\n\n #[inline]\n fn is_null(self) -> bool {\n self == 0\n }\n\n #[inline]\n fn null() -> Self {\n 0\n }\n }\n )*};\n}\n\nmacro_rules! impl_idx_nonzero {\n ($($ty:ty)*) => {$(\n impl Idx for $ty {\n #[inline]\n fn as_usize(self) -> usize {\n self.get() as usize\n }\n\n #[inline]\n fn is_null(self) -> bool {\n false\n }\n\n #[inline]\n fn null() -> Self {\n unreachable!(\"NonZero types use Option<T> for null\")\n }\n }\n )*};\n}\n\nimpl_idx! { u8 u16 u32 u64 usize }\nimpl_idx_nonzero! {\n NonZeroU8 NonZeroU16 NonZeroU32 NonZeroU64 NonZeroUsize\n}\n\n/// Tree node structure - stores size and children\n#[derive(Debug, Clone, Copy, PartialEq, Eq)]\n#[repr(C)]\npub struct Node<T> {\n pub size: usize,\n pub left: Option<T>,\n pub right: Option<T>,\n}\n\nimpl<T> Default for Node<T> {\n fn default() -> Self {\n Self { size: 0, left: None, right: None }\n }\n}\n\nimpl<T> Node<T> {\n #[inline]\n pub fn new() -> Self {\n Self::default()\n }\n\n #[inline]\n pub fn with_size(size: usize) -> Self {\n Self { size, left: None, right: None }\n }\n}\n",
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"content": "use crate::{Idx, Node, Tree};\n\n/// Adaptive Radix Tree - provides operations on trie stored in slice\n///\n/// Extends the base Tree trait with adaptive radix tree operations.\n/// Uses byte-by-byte key decomposition with adaptive node sizing.\n///\n/// ART is optimized for main-memory indexing with:\n/// - O(k) search/insert/delete where k is key length (8 bytes for u64)\n/// - Adaptive node sizes (4, 16, 48, 256 children) for memory efficiency\n/// - Excellent cache locality through compact node structures\n/// - Path compression to reduce tree height\n///\n/// Node size field is repurposed to store node type information:\n/// - 0: Empty/unused node\n/// - 1-4: Node4 (up to 4 children)\n/// - 5-16: Node16 (up to 16 children)\n/// - 17-48: Node48 (up to 48 children)\n/// - 49-256: Node256 (up to 256 children)\npub trait AdaptiveRadix<T: Idx>: Tree<T> {\n /// Node type from size field\n #[inline]\n fn node_type(&self, idx: T) -> Option<NodeType> {\n let size = self.get(idx)?.size;\n NodeType::from_size(size)\n }\n\n /// Set node type by updating size field\n #[inline]\n fn set_node_type(&mut self, idx: T, node_type: NodeType) {\n if let Some(node) = self.get(idx) {\n self.set(idx, Node { size: node_type.to_size(), ..node });\n }\n }\n\n /// Number of children from node\n #[inline]\n fn child_count(&self, idx: T) -> usize {\n self.get(idx).map(|n| n.size).unwrap_or(0)\n }\n\n /// Extract byte from key at given depth (0 = most significant)\n ///\n /// Platform independence: assumes usize is 64 bits (8 bytes) as the shift\n /// calculation uses `(7 - depth % 8)`. On 32-bit platforms, this will still\n /// work correctly as the depth is clamped by the modulo operation.\n #[inline]\n fn key_byte(&self, key: T, depth: usize) -> u8 {\n let key_usize = key.as_usize();\n // extract bytes in big-endian order for proper lexicographic sorting",
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"text": "Excellent! Now I have a complete understanding. Let me create a comprehensive summary for you.\n\n## Comprehensive Benchmark Structure Analysis\n\n### Overview\nThis codebase contains a benchmarking system for comparing two tree data structure implementations: **SBT (Size-Balanced Tree)** and **ART (Adaptive Radix Tree)**. The framework uses **Criterion** (v0.8) as the benchmarking harness and has automated GitHub Actions workflows with visualization and performance tracking.\n\n---\n\n### 1. BENCHMARK FILES\n\n#### Main Benchmark File\n**Path:** `/tmp/gh-issue-solver-1764831144502/crates/trees/benches/trees_bench.rs`\n- **Size:** 165 lines\n- **Purpose:** Primary benchmark definition file\n- **Framework:** Criterion 0.8\n\n#### Benchmark Common Module\n**Path:** `/tmp/gh-issue-solver-1764831144502/crates/trees/benches/common/mod.rs`\n- **Size:** 125 lines\n- **Purpose:** Shared benchmark infrastructure and store implementations\n\n#### Cargo Benchmark Configuration\n**Path:** `/tmp/gh-issue-solver-1764831144502/crates/trees/Cargo.toml`\n- **Lines 14-16:** Benchmark harness configuration\n ```toml\n [[bench]]\n name = \"trees_bench\"\n harness = false\n ```\n\n---\n\n### 2. SBT BENCHMARKS (Size-Balanced Tree)\n\n**Function:** `sbt_benchmarks()` in trees_bench.rs (lines 91-123)\n\n**Benchmarks:**\n1. **Insert operations (3 sizes):**\n - `sbt_insert_100` - Insert 100 elements\n - `sbt_insert_1000` - Insert 1,000 elements\n - `sbt_insert_10000` - Insert 10,000 elements\n\n2. **Insert + Search operations (3 sizes):**\n - `sbt_insert_search_100` - Insert 100, then search 100\n - `sbt_insert_search_1000` - Insert 1,000, then search 1,000\n - `sbt_insert_search_10000` - Insert 10,000, then search 10,000\n\n3. **Full Cycle operations (2 sizes):**\n - `sbt_full_cycle_100` - Insert 100, then remove 100\n - `sbt_full_cycle_1000` - Insert 1,000, then remove 1,000\n\n**SBT Implementation Details:**\n- **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/sbt.rs` (268 lines)\n- **Trait:** `SizeBalanced<T>` trait in sbt.rs\n- **Algorithm:** Chinese Student's Tree - uses subtree sizes to maintain balance\n- **Operations tracked:** Size calculations, rotations, insertion/removal with rebalancing\n\n---\n\n### 3. ART BENCHMARKS (Adaptive Radix Tree)\n\n**Function:** `art_benchmarks()` in trees_bench.rs (lines 125-161)\n\n**Benchmarks:**\n1. **Insert operations (3 sizes):**\n - `art_insert_100` - Insert 100 elements\n - `art_insert_1000` - Insert 1,000 elements\n - `art_insert_10000` - Insert 10,000 elements\n\n2. **Insert + Search operations (3 sizes):**\n - `art_insert_search_100` - Insert 100, then search 100\n - `art_insert_search_1000` - Insert 1,000, then search 1,000\n - `art_insert_search_10000` - Insert 10,000, then search 10,000\n\n3. **Full Cycle operations (2 sizes):**\n - `art_full_cycle_100` - Insert 100, then remove 100\n - `art_full_cycle_1000` - Insert 1,000, then remove 1,000\n\n**ART Implementation Details:**\n- **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/art.rs` (271 lines)\n- **Trait:** `AdaptiveRadix<T>` trait in art.rs\n- **Algorithm:** Trie-based with adaptive node sizing\n - Node4 (up to 4 children)\n - Node16 (up to 16 children)\n - Node48 (up to 48 children)\n - Node256 (up to 256 children)\n- **Features:**\n - O(k) complexity where k = key length (8 bytes for u64)\n - Byte-by-byte key decomposition\n - Path compression\n - Optimized for cache locality\n\n**ART Node Type Encoding (from line 19-28 of art.rs):**\n```\n- 0: Empty/unused node\n- 1-4: Node4 (up to 4 children)\n- 5-16: Node16 (up to 16 children)\n- 17-48: Node48 (up to 48 children)\n- 49-256: Node256 (up to 256 children)\n```\n\n---\n\n### 4. BENCHMARK INFRASTRUCTURE\n\n#### Store Implementations (benches/common/mod.rs)\n\n1. **`Store<T>` struct (lines 6-26):**\n - Vector-backed generic tree store\n - Implements both `SizeBalanced<T>` and `AdaptiveRadix<T>` traits\n - Methods: `new(capacity)`, `reset()`, `nodes()`\n\n2. **`ArtStore<T>` struct (lines 75-125):**\n - Wrapper around `Store<T>` that defaults to ART operations\n - Implements `insert_art()` and `remove_art()` by default\n - Methods: `new(capacity)`, `reset()`\n\n#### Benchmark Helper Functions (trees_bench.rs, lines 35-89)\n\n1. **`bench_insert_impl<S, T>`** (lines 36-50)\n - Pure insertion benchmark\n - Creates store, inserts 1..n elements\n - Uses `black_box()` to prevent compiler optimization\n\n2. **`bench_insert_and_search_impl<S, T>`** (lines 53-69)\n - Insert then search operations\n - Inserts 1..n, then searches for all elements\n - Measures combined throughput\n\n3. **`bench_insert_remove_impl<S, T>`** (lines 72-89)\n - Full lifecycle benchmark\n - Inserts 1..n, then removes all elements\n - Tests insertion and deletion balance maintenance\n\n---\n\n### 5. BENCHMARK FRAMEWORK & CONFIGURATION\n\n#### Framework Setup\n- **Harness:** Criterion 0.8 (criterion_group!, criterion_main!)\n- **Criterion Version:** Line 12 of trees/Cargo.toml: `criterion = \"0.8\"`\n- **Entry Point:** lines 163-164 of trees_bench.rs\n ```rust\n criterion_group!(benches, sbt_benchmarks, art_benchmarks);\n criterion_main!(benches);\n ```\n\n#### GitHub Actions Workflow\n**Path:** `/tmp/gh-issue-solver-1764831144502/.github/workflows/benchmark.yml`\n\n**Execution Steps:**\n1. **Checkout code** (Line 18)\n2. **Create gh-pages branch** (Lines 20-32) - Creates if doesn't exist\n3. **Install Rust nightly** (Line 34)\n4. **Run benchmarks** (Line 37):\n ```bash\n cargo bench --package trees --bench trees_bench | tee output.txt\n ```\n5. **Convert to custom format** (Lines 39-42):\n - Runs `format_benchmarks.py` to convert Criterion output to custom JSON\n - Converts ns/iter to \"Million links/sec\" metric\n6. **Store results** (Lines 44-58):\n - Uses `benchmark-action/github-action-benchmark@v1`\n - Tool: `customBiggerIsBetter`\n - Auto-push: true\n - Alert threshold: 150% (performance regression detection)\n - Deploys to gh-pages branch at `dev/bench/`\n7. **Deploy to GitHub Pages** (Lines 60-72):\n - Copies `/tmp/pages-index.html` to root `index.html`\n - Commits and pushes to gh-pages\n\n---\n\n### 6. BENCHMARK OUTPUT & VISUALIZATION\n\n#### HTML/Visualization Files\n\n1. **Index/Redirect Page**\n - **Path:** `/tmp/gh-issue-solver-1764831144502/.github/pages-index.html`\n - **Size:** 54 lines\n - **Purpose:** Root HTML page with redirect to benchmark results\n - **Redirects to:** `dev/bench/index.html` (auto-generated by GitHub Action)\n - **Content:** Beautiful landing page with gradient background\n\n2. **Generated Benchmark Data Directory:**\n - Location: `gh-pages` branch at `dev/bench/`\n - Auto-generated by `benchmark-action/github-action-benchmark` action\n - Contains: `index.html` and `data.js`\n\n---\n\n### 7. BENCHMARK OUTPUT CONVERSION\n\n#### Formatter Script\n**Path:** `/tmp/gh-issue-solver-1764831144502/.github/scripts/format_benchmarks.py`\n- **Size:** 196 lines\n- **Purpose:** Convert Criterion output to custom JSON format\n\n**Key Functions:**\n- `parse_bench_output(output_file)` (lines 15-174)\n- Supports both Criterion and legacy cargo bench formats\n- Calculates \"Million links/sec\" metric (lines 87-88)\n- Computes variance from time ranges (lines 90-98)\n\n**Conversion Logic (lines 81-98):**\n```python\n# Extract operation count from benchmark name\n# Calculate throughput: links/second = num_operations / time_ns\n# Convert to million links per second for readability\nmillion_links_per_second = links_per_second / 1_000_000\n```\n\n**Output JSON Format:**\n```json\n{\n \"name\": \"Insert + Search (100 elements)\",\n \"unit\": \"M links/sec\",\n \"value\": 115.08,\n \"range\": \"± 2.45\",\n \"extra\": \"200 operations in 1734.56 ns/iter\"\n}\n```\n\n---\n\n### 8. BENCHMARK DATA CLEANUP UTILITY\n\n#### Clean Script\n**Path:** `/tmp/gh-issue-solver-1764831144502/scripts/clean_benchmark_data.py`\n- **Size:** 126 lines\n- **Purpose:** Remove old format benchmark entries from gh-pages\n\n**Keeps only entries with:**\n- `tool: \"customBiggerIsBetter\"`\n- `unit: \"M links/sec\"`\n- Range format with \"±\" prefix\n\n**Removes entries with:**\n- `tool: \"cargo\"` (ns/iter format)\n- Inconsistent unit formats\n\n---\n\n### 9. BENCHMARK CHARACTERISTICS & METRICS\n\n#### Benchmark Parameters\n- **Element counts tested:** 100, 1,000, 10,000\n- **Operations per benchmark:**\n - Insert only: n operations\n - Insert + Search: 2n operations (n inserts + n searches)\n - Insert + Remove: 2n operations (n inserts + n removes)\n\n#### Performance Metrics\n- **Primary metric:** Million links/sec (M links/sec)\n- **Secondary metric:** Nanoseconds per iteration (ns/iter)\n- **Variance:** Measured as range ± amount\n- **Regression threshold:** 150% (configurable in benchmark.yml line 53)\n\n#### Black Box Usage\n- Line 47, 65, 86 in trees_bench.rs use `black_box()` to prevent compiler optimizations\n- Ensures fair comparison between implementations\n\n---\n\n### 10. SOURCE CODE ORGANIZATION\n\n#### Core Tree Implementations\n\n1. **Base Tree Trait**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/tree.rs` (118 lines)\n - **Exports:** `Tree<T>` trait\n - **Methods:** get, set, insert, remove, contains, left/right navigation\n\n2. **Size-Balanced Tree Trait**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/sbt.rs` (268 lines)\n - **Exports:** `SizeBalanced<T>` trait\n - **Specialized methods:** size tracking, rotations, balancing\n\n3. **Adaptive Radix Tree Trait**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/art.rs` (271 lines)\n - **Exports:** `AdaptiveRadix<T>`, `NodeType` enum\n - **Specialized methods:** key_byte extraction, node type management, adaptive node sizing\n\n4. **Node Definitions**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/node.rs` (82 lines)\n - **Exports:** `Node<T>` struct, `Idx` trait\n - **Idx implementations:** u8, u16, u32, u64, usize, and NonZero variants\n\n5. **Public API**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/lib.rs` (13 lines)\n - **Exports:** Tree, SizeBalanced, AdaptiveRadix, Node, Idx, NodeType\n\n---\n\n### 11. SUMMARY TABLE\n\n| Aspect | Details |\n|--------|---------|\n| **Benchmark Framework** | Criterion 0.8 |\n| **Benchmark Language** | Rust |\n| **Tree Types** | SBT (Size-Balanced Tree), ART (Adaptive Radix Tree) |\n| **Total Benchmarks** | 17 (9 SBT + 8 ART) |\n| **Test Data Sizes** | 100, 1,000, 10,000 elements |\n| **Metric** | Million links/sec (M links/sec) |\n| **CI/CD Platform** | GitHub Actions |\n| **Results Storage** | gh-pages branch (dev/bench/) |\n| **Performance Regression Alert** | 150% threshold with comments |\n| **Visualization** | GitHub Pages with benchmark-action |\n\n---\n\n### 12. KEY BENCHMARK DEFINITIONS\n\n**All benchmarks run with Criterion's default settings and include:**\n- Multiple iterations for statistical significance\n- Automatic warm-up runs\n- Variance measurement and reporting\n- Black-box operations to prevent compiler optimizations\n\nThis comprehensive infrastructure allows for reliable, continuous performance tracking and comparison between the two tree implementations across multiple operation types and data sizes."
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"prompt": "I need to understand the benchmark structure in this codebase:\n\n1. Find all benchmark files (likely in a benches/ directory or similar)\n2. Identify what ART (Adaptive Radix Tree) benchmarks exist\n3. Identify what SBT (likely Self-Balancing Tree or similar) benchmarks exist\n4. Understand how benchmarks are organized and structured\n5. Look for any HTML/visualization files that show benchmark charts\n6. Look for any configuration files that define which benchmarks to run\n\nPlease provide:\n- List of all benchmark files with their paths\n- Summary of what each benchmark file contains\n- Any visualization or chart generation code\n- The structure/framework being used for benchmarks (e.g., Criterion, etc.)\n\nReturn a comprehensive summary of findings with specific file paths and line numbers where relevant.",
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"text": "Excellent! Now I have a complete understanding. Let me create a comprehensive summary for you.\n\n## Comprehensive Benchmark Structure Analysis\n\n### Overview\nThis codebase contains a benchmarking system for comparing two tree data structure implementations: **SBT (Size-Balanced Tree)** and **ART (Adaptive Radix Tree)**. The framework uses **Criterion** (v0.8) as the benchmarking harness and has automated GitHub Actions workflows with visualization and performance tracking.\n\n---\n\n### 1. BENCHMARK FILES\n\n#### Main Benchmark File\n**Path:** `/tmp/gh-issue-solver-1764831144502/crates/trees/benches/trees_bench.rs`\n- **Size:** 165 lines\n- **Purpose:** Primary benchmark definition file\n- **Framework:** Criterion 0.8\n\n#### Benchmark Common Module\n**Path:** `/tmp/gh-issue-solver-1764831144502/crates/trees/benches/common/mod.rs`\n- **Size:** 125 lines\n- **Purpose:** Shared benchmark infrastructure and store implementations\n\n#### Cargo Benchmark Configuration\n**Path:** `/tmp/gh-issue-solver-1764831144502/crates/trees/Cargo.toml`\n- **Lines 14-16:** Benchmark harness configuration\n ```toml\n [[bench]]\n name = \"trees_bench\"\n harness = false\n ```\n\n---\n\n### 2. SBT BENCHMARKS (Size-Balanced Tree)\n\n**Function:** `sbt_benchmarks()` in trees_bench.rs (lines 91-123)\n\n**Benchmarks:**\n1. **Insert operations (3 sizes):**\n - `sbt_insert_100` - Insert 100 elements\n - `sbt_insert_1000` - Insert 1,000 elements\n - `sbt_insert_10000` - Insert 10,000 elements\n\n2. **Insert + Search operations (3 sizes):**\n - `sbt_insert_search_100` - Insert 100, then search 100\n - `sbt_insert_search_1000` - Insert 1,000, then search 1,000\n - `sbt_insert_search_10000` - Insert 10,000, then search 10,000\n\n3. **Full Cycle operations (2 sizes):**\n - `sbt_full_cycle_100` - Insert 100, then remove 100\n - `sbt_full_cycle_1000` - Insert 1,000, then remove 1,000\n\n**SBT Implementation Details:**\n- **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/sbt.rs` (268 lines)\n- **Trait:** `SizeBalanced<T>` trait in sbt.rs\n- **Algorithm:** Chinese Student's Tree - uses subtree sizes to maintain balance\n- **Operations tracked:** Size calculations, rotations, insertion/removal with rebalancing\n\n---\n\n### 3. ART BENCHMARKS (Adaptive Radix Tree)\n\n**Function:** `art_benchmarks()` in trees_bench.rs (lines 125-161)\n\n**Benchmarks:**\n1. **Insert operations (3 sizes):**\n - `art_insert_100` - Insert 100 elements\n - `art_insert_1000` - Insert 1,000 elements\n - `art_insert_10000` - Insert 10,000 elements\n\n2. **Insert + Search operations (3 sizes):**\n - `art_insert_search_100` - Insert 100, then search 100\n - `art_insert_search_1000` - Insert 1,000, then search 1,000\n - `art_insert_search_10000` - Insert 10,000, then search 10,000\n\n3. **Full Cycle operations (2 sizes):**\n - `art_full_cycle_100` - Insert 100, then remove 100\n - `art_full_cycle_1000` - Insert 1,000, then remove 1,000\n\n**ART Implementation Details:**\n- **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/art.rs` (271 lines)\n- **Trait:** `AdaptiveRadix<T>` trait in art.rs\n- **Algorithm:** Trie-based with adaptive node sizing\n - Node4 (up to 4 children)\n - Node16 (up to 16 children)\n - Node48 (up to 48 children)\n - Node256 (up to 256 children)\n- **Features:**\n - O(k) complexity where k = key length (8 bytes for u64)\n - Byte-by-byte key decomposition\n - Path compression\n - Optimized for cache locality\n\n**ART Node Type Encoding (from line 19-28 of art.rs):**\n```\n- 0: Empty/unused node\n- 1-4: Node4 (up to 4 children)\n- 5-16: Node16 (up to 16 children)\n- 17-48: Node48 (up to 48 children)\n- 49-256: Node256 (up to 256 children)\n```\n\n---\n\n### 4. BENCHMARK INFRASTRUCTURE\n\n#### Store Implementations (benches/common/mod.rs)\n\n1. **`Store<T>` struct (lines 6-26):**\n - Vector-backed generic tree store\n - Implements both `SizeBalanced<T>` and `AdaptiveRadix<T>` traits\n - Methods: `new(capacity)`, `reset()`, `nodes()`\n\n2. **`ArtStore<T>` struct (lines 75-125):**\n - Wrapper around `Store<T>` that defaults to ART operations\n - Implements `insert_art()` and `remove_art()` by default\n - Methods: `new(capacity)`, `reset()`\n\n#### Benchmark Helper Functions (trees_bench.rs, lines 35-89)\n\n1. **`bench_insert_impl<S, T>`** (lines 36-50)\n - Pure insertion benchmark\n - Creates store, inserts 1..n elements\n - Uses `black_box()` to prevent compiler optimization\n\n2. **`bench_insert_and_search_impl<S, T>`** (lines 53-69)\n - Insert then search operations\n - Inserts 1..n, then searches for all elements\n - Measures combined throughput\n\n3. **`bench_insert_remove_impl<S, T>`** (lines 72-89)\n - Full lifecycle benchmark\n - Inserts 1..n, then removes all elements\n - Tests insertion and deletion balance maintenance\n\n---\n\n### 5. BENCHMARK FRAMEWORK & CONFIGURATION\n\n#### Framework Setup\n- **Harness:** Criterion 0.8 (criterion_group!, criterion_main!)\n- **Criterion Version:** Line 12 of trees/Cargo.toml: `criterion = \"0.8\"`\n- **Entry Point:** lines 163-164 of trees_bench.rs\n ```rust\n criterion_group!(benches, sbt_benchmarks, art_benchmarks);\n criterion_main!(benches);\n ```\n\n#### GitHub Actions Workflow\n**Path:** `/tmp/gh-issue-solver-1764831144502/.github/workflows/benchmark.yml`\n\n**Execution Steps:**\n1. **Checkout code** (Line 18)\n2. **Create gh-pages branch** (Lines 20-32) - Creates if doesn't exist\n3. **Install Rust nightly** (Line 34)\n4. **Run benchmarks** (Line 37):\n ```bash\n cargo bench --package trees --bench trees_bench | tee output.txt\n ```\n5. **Convert to custom format** (Lines 39-42):\n - Runs `format_benchmarks.py` to convert Criterion output to custom JSON\n - Converts ns/iter to \"Million links/sec\" metric\n6. **Store results** (Lines 44-58):\n - Uses `benchmark-action/github-action-benchmark@v1`\n - Tool: `customBiggerIsBetter`\n - Auto-push: true\n - Alert threshold: 150% (performance regression detection)\n - Deploys to gh-pages branch at `dev/bench/`\n7. **Deploy to GitHub Pages** (Lines 60-72):\n - Copies `/tmp/pages-index.html` to root `index.html`\n - Commits and pushes to gh-pages\n\n---\n\n### 6. BENCHMARK OUTPUT & VISUALIZATION\n\n#### HTML/Visualization Files\n\n1. **Index/Redirect Page**\n - **Path:** `/tmp/gh-issue-solver-1764831144502/.github/pages-index.html`\n - **Size:** 54 lines\n - **Purpose:** Root HTML page with redirect to benchmark results\n - **Redirects to:** `dev/bench/index.html` (auto-generated by GitHub Action)\n - **Content:** Beautiful landing page with gradient background\n\n2. **Generated Benchmark Data Directory:**\n - Location: `gh-pages` branch at `dev/bench/`\n - Auto-generated by `benchmark-action/github-action-benchmark` action\n - Contains: `index.html` and `data.js`\n\n---\n\n### 7. BENCHMARK OUTPUT CONVERSION\n\n#### Formatter Script\n**Path:** `/tmp/gh-issue-solver-1764831144502/.github/scripts/format_benchmarks.py`\n- **Size:** 196 lines\n- **Purpose:** Convert Criterion output to custom JSON format\n\n**Key Functions:**\n- `parse_bench_output(output_file)` (lines 15-174)\n- Supports both Criterion and legacy cargo bench formats\n- Calculates \"Million links/sec\" metric (lines 87-88)\n- Computes variance from time ranges (lines 90-98)\n\n**Conversion Logic (lines 81-98):**\n```python\n# Extract operation count from benchmark name\n# Calculate throughput: links/second = num_operations / time_ns\n# Convert to million links per second for readability\nmillion_links_per_second = links_per_second / 1_000_000\n```\n\n**Output JSON Format:**\n```json\n{\n \"name\": \"Insert + Search (100 elements)\",\n \"unit\": \"M links/sec\",\n \"value\": 115.08,\n \"range\": \"± 2.45\",\n \"extra\": \"200 operations in 1734.56 ns/iter\"\n}\n```\n\n---\n\n### 8. BENCHMARK DATA CLEANUP UTILITY\n\n#### Clean Script\n**Path:** `/tmp/gh-issue-solver-1764831144502/scripts/clean_benchmark_data.py`\n- **Size:** 126 lines\n- **Purpose:** Remove old format benchmark entries from gh-pages\n\n**Keeps only entries with:**\n- `tool: \"customBiggerIsBetter\"`\n- `unit: \"M links/sec\"`\n- Range format with \"±\" prefix\n\n**Removes entries with:**\n- `tool: \"cargo\"` (ns/iter format)\n- Inconsistent unit formats\n\n---\n\n### 9. BENCHMARK CHARACTERISTICS & METRICS\n\n#### Benchmark Parameters\n- **Element counts tested:** 100, 1,000, 10,000\n- **Operations per benchmark:**\n - Insert only: n operations\n - Insert + Search: 2n operations (n inserts + n searches)\n - Insert + Remove: 2n operations (n inserts + n removes)\n\n#### Performance Metrics\n- **Primary metric:** Million links/sec (M links/sec)\n- **Secondary metric:** Nanoseconds per iteration (ns/iter)\n- **Variance:** Measured as range ± amount\n- **Regression threshold:** 150% (configurable in benchmark.yml line 53)\n\n#### Black Box Usage\n- Line 47, 65, 86 in trees_bench.rs use `black_box()` to prevent compiler optimizations\n- Ensures fair comparison between implementations\n\n---\n\n### 10. SOURCE CODE ORGANIZATION\n\n#### Core Tree Implementations\n\n1. **Base Tree Trait**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/tree.rs` (118 lines)\n - **Exports:** `Tree<T>` trait\n - **Methods:** get, set, insert, remove, contains, left/right navigation\n\n2. **Size-Balanced Tree Trait**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/sbt.rs` (268 lines)\n - **Exports:** `SizeBalanced<T>` trait\n - **Specialized methods:** size tracking, rotations, balancing\n\n3. **Adaptive Radix Tree Trait**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/art.rs` (271 lines)\n - **Exports:** `AdaptiveRadix<T>`, `NodeType` enum\n - **Specialized methods:** key_byte extraction, node type management, adaptive node sizing\n\n4. **Node Definitions**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/node.rs` (82 lines)\n - **Exports:** `Node<T>` struct, `Idx` trait\n - **Idx implementations:** u8, u16, u32, u64, usize, and NonZero variants\n\n5. **Public API**\n - **File:** `/tmp/gh-issue-solver-1764831144502/crates/trees/src/lib.rs` (13 lines)\n - **Exports:** Tree, SizeBalanced, AdaptiveRadix, Node, Idx, NodeType\n\n---\n\n### 11. SUMMARY TABLE\n\n| Aspect | Details |\n|--------|---------|\n| **Benchmark Framework** | Criterion 0.8 |\n| **Benchmark Language** | Rust |\n| **Tree Types** | SBT (Size-Balanced Tree), ART (Adaptive Radix Tree) |\n| **Total Benchmarks** | 17 (9 SBT + 8 ART) |\n| **Test Data Sizes** | 100, 1,000, 10,000 elements |\n| **Metric** | Million links/sec (M links/sec) |\n| **CI/CD Platform** | GitHub Actions |\n| **Results Storage** | gh-pages branch (dev/bench/) |\n| **Performance Regression Alert** | 150% threshold with comments |\n| **Visualization** | GitHub Pages with benchmark-action |\n\n---\n\n### 12. KEY BENCHMARK DEFINITIONS\n\n**All benchmarks run with Criterion's default settings and include:**\n- Multiple iterations for statistical significance\n- Automatic warm-up runs\n- Variance measurement and reporting\n- Black-box operations to prevent compiler optimizations\n\nThis comprehensive infrastructure allows for reliable, continuous performance tracking and comparison between the two tree implementations across multiple operation types and data sizes."
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"text": "Excellent! Now let me read the actual benchmark file to understand the exact structure and see what might be \"missing\":"
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[2025-12-04T06:54:29.658Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C14BkSveLgk3Ys2HnuwQeQ","type":"tool_result","content":" 1→mod common;\n 2→\n 3→use {\n 4→ common::Store,\n 5→ criterion::{Criterion, black_box, criterion_group, criterion_main},\n 6→ trees::{Idx, Tree},\n 7→};\n 8→\n 9→/// Trait for tree stores that can be reset and created\n 10→trait BenchStore<T: Idx>: Tree<T> {\n 11→ fn new(capacity: usize) -> Self;\n 12→ fn reset(&mut self);\n 13→}\n 14→\n 15→impl<T: Idx> BenchStore<T> for Store<T> {\n 16→ fn new(capacity: usize) -> Self {\n 17→ Store::new(capacity)\n 18→ }\n 19→\n 20→ fn reset(&mut self) {\n 21→ Store::reset(self)\n 22→ }\n 23→}\n 24→\n 25→impl<T: Idx> BenchStore<T> for common::ArtStore<T> {\n 26→ fn new(capacity: usize) -> Self {\n 27→ common::ArtStore::new(capacity)\n 28→ }\n 29→\n 30→ fn reset(&mut self) {\n 31→ common::ArtStore::reset(self)\n 32→ }\n 33→}\n 34→\n 35→// Helper function for insert benchmarks\n 36→fn bench_insert_impl<S, T>(n: usize) -> impl FnMut()\n 37→where\n 38→ S: BenchStore<T>,\n 39→ T: Idx + From<usize>,\n 40→{\n 41→ let mut store = S::new(n);\n 42→ move || {\n 43→ let mut root = None;\n 44→ for i in 1..n {\n 45→ root = store.insert(root, T::from(i));\n 46→ }\n 47→ black_box(root);\n 48→ store.reset();\n 49→ }\n 50→}\n 51→\n 52→// Helper function for insert and search benchmarks\n 53→fn bench_insert_and_search_impl<S, T>(n: usize) -> impl FnMut()\n 54→where\n 55→ S: BenchStore<T>,\n 56→ T: Idx + From<usize>,\n 57→{\n 58→ let mut store = S::new(n);\n 59→ move || {\n 60→ let mut root = None;\n 61→ for i in 1..n {\n 62→ root = store.insert(root, T::from(i));\n 63→ }\n 64→ for i in 1..n {\n 65→ black_box(store.contains(root.unwrap(), T::from
[2025-12-04T06:54:29.664Z] [INFO] (i)));\n 66→ }\n 67→ store.reset();\n 68→ }\n 69→}\n 70→\n 71→// Helper function for full cycle benchmarks\n 72→fn bench_insert_remove_impl<S, T>(n: usize) -> impl FnMut()\n 73→where\n 74→ S: BenchStore<T>,\n 75→ T: Idx + From<usize>,\n 76→{\n 77→ let mut store = S::new(n);\n 78→ move || {\n 79→ let mut root = None;\n 80→ for i in 1..n {\n 81→ root = store.insert(root, T::from(i));\n 82→ }\n 83→ for i in 1..n {\n 84→ root = store.remove(root, T::from(i));\n 85→ }\n 86→ black_box(root);\n 87→ store.reset();\n 88→ }\n 89→}\n 90→\n 91→fn sbt_benchmarks(c: &mut Criterion) {\n 92→ c.bench_function(\"sbt_insert_100\", |b| {\n 93→ b.iter(bench_insert_impl::<Store<usize>, usize>(100))\n 94→ });\n 95→\n 96→ c.bench_function(\"sbt_insert_1000\", |b| {\n 97→ b.iter(bench_insert_impl::<Store<usize>, usize>(1_000))\n 98→ });\n 99→\n 100→ c.bench_function(\"sbt_insert_10000\", |b| {\n 101→ b.iter(bench_insert_impl::<Store<usize>, usize>(10_000))\n 102→ });\n 103→\n 104→ c.bench_function(\"sbt_insert_search_100\", |b| {\n 105→ b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(100))\n 106→ });\n 107→\n 108→ c.bench_function(\"sbt_insert_search_1000\", |b| {\n 109→ b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(1_000))\n 110→ });\n 111→\n 112→ c.bench_function(\"sbt_insert_search_10000\", |b| {\n 113→ b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(10_000))\n 114→ });\n 115→\n 116→ c.bench_function(\"sbt_full_cycle_100\", |b| {\n 117→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(100))\n 118→ });\n 119→\n 120→ c.bench_function(\"sbt_full_cycle_1000\", |b| {\n 121→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n 122→ });\n 123→}\n 124→\n 125→fn art_benchmarks(c: &mut Criterion) {\n 126→ c.bench_function(\"art_insert_100\", |b| {\n 127→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(100))\n 128→ });\n 129→\n 130→ c.bench_function(\"art_insert_1000\", |b| {\n 131→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(1_000))\n 132→ });\n 133→\n 134→ c.bench_function(\"art_insert_10000\", |b| {\n 135→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(10_000))\n 136→ });\n 137→\n 138→ c.bench_function(\"art_insert_search_100\", |b| {\n 139→ b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(100))\n 140→ });\n 141→\n 142→ c.bench_function(\"art_insert_search_1000\", |b| {\n 143→ b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 144→ 1_000,\n 145→ ))\n 146→ });\n 147→\n 148→ c.bench_function(\"art_insert_search_10000\", |b| {\n 149→ b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 150→ 10_000,\n 151→ ))\n 152→ });\n 153→\n 154→ c.bench_function(\"art_full_cycle_100\", |b| {\n 155→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(100))\n 156→ });\n 157→\n 158→ c.bench_function(\"art_full_cycle_1000\", |b| {\n 159→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n 160→ });\n 161→}\n 162→\n 163→criterion_group!(benches, sbt_benchmarks, art_benchmarks);\n 164→criterion_main!(benches);\n 165→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"a9624458-2ef8-4e3f-8c5a-515a8c464911","uuid":"9f232e77-5393-4ed9-923e-0ff3b0cfdc2d","tool_use_result":{"type":"text","file":{"filePath":"/tmp/gh-issue-solver-1764831144502/crates/trees/benches/trees_bench.rs","content":"mod common;\n\nuse {\n common::Store,\n criterion::{Criterion, black_box, criterion_group, criterion_main},\n trees::{Idx, Tree},\n};\n\n/// Trait for tree stores that can be reset and created\ntrait BenchStore<T: Idx>: Tree<T> {\n fn new(capacity: usize) -> Self;\n fn reset(&mut self);\n}\n\nimpl<T: Idx> BenchStore<T> for Store<T> {\n fn new(capacity: usize) -> Self {\n Store::new(capacity)\n }\n\n fn reset(&mut self) {\n Store::reset(self)\n }\n}\n\nimpl<T: Idx> BenchStore<T> for common::ArtStore<T> {\n fn new(capacity: usize) -> Self {\n common::ArtStore::new(capacity)\n }\n\n fn reset(&mut self) {\n common::ArtStore::reset(self)\n }\n}\n\n// Helper function for insert benchmarks\nfn bench_insert_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n black_box(root);\n store.reset();\n }\n}\n\n// Helper function for insert and search benchmarks\nfn bench_insert_and_search_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n for i in 1..n {\n black_box(store.contains(root.unwrap(), T::from(i)));\n }\n store.reset();\n }\n}\n\n// Helper function for full cycle benchmarks\nfn bench_insert_remove_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n for i in 1..n {\n root = store.remove(root, T::from(i));\n }\n black_box(root);\n store.reset();\n }\n}\n\nfn sbt_benchmarks(c: &mut Criterion) {\n c.bench_function(\"sbt_insert_100\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_insert_1000\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_insert_10000\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(10_000))\n });\n\n c.bench_function(\"sbt_insert_search_100\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_insert_search_1000\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_insert_search_10000\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(10_000))\n });\n\n c.bench_function(\"sbt_full_cycle_100\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n });\n}\n\nfn art_benchmarks(c: &mut Criterion) {\n c.bench_function(\"art_insert_100\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_insert_1000\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n\n c.bench_function(\"art_insert_10000\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(10_000))\n });\n\n c.bench_function(\"art_insert_search_100\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_insert_search_1000\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 1_000,\n ))\n });\n\n c.bench_function(\"art_insert_search_10000\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 10_000,\n ))\n });\n\n c.bench_function(\"art_full_cycle_100\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n}\n\ncriterion_group!(benches, sbt_benchmarks, art_benchmarks);\ncriterion_main!(benches);\n","numLines":165,"startLine":1,"totalLines":165}}}
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"text": "I can see the issue clearly now! Comparing the two benchmark functions:\n\n**SBT benchmarks** (lines 91-123): Has **8 benchmarks**\n- 3 insert benchmarks (100, 1000, 10000)\n- 3 insert+search benchmarks (100, 1000, 10000)\n- 2 full_cycle benchmarks (100, 1000) - **MISSING 10000!**\n\n**ART benchmarks** (lines 125-161): Has **8 benchmarks** \n- 3 insert benchmarks (100, 1000, 10000)\n- 3 insert+search benchmarks (100, 1000, 10000)\n- 2 full_cycle benchmarks (100, 1000) - **MISSING 10000!**\n\nBoth are missing the `full_cycle_10000` benchmark! Let me check if there are any recent merged PRs to see the style for commits:"
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[2025-12-04T06:54:42.029Z] [INFO] {
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"text": "Now let me look at the benchmark visualization to understand how the \"toggles\" work:"
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[2025-12-04T06:54:43.425Z] [INFO] {
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"content": " 1→<!DOCTYPE html>\n 2→<html lang=\"en\">\n 3→<head>\n 4→ <meta charset=\"UTF-8\">\n 5→ <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n 6→ <meta http-equiv=\"refresh\" content=\"0; url=dev/bench/index.html\">\n 7→ <title>Dunes - Benchmark Results</title>\n 8→ <style>\n 9→ body {\n 10→ font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, \"Helvetica Neue\", Arial, sans-serif;\n 11→ display: flex;\n 12→ justify-content: center;\n 13→ align-items: center;\n 14→ min-height: 100vh;\n 15→ margin: 0;\n 16→ background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n 17→ color: white;\n 18→ }\n 19→ .container {\n 20→ text-align: center;\n 21→ padding: 2rem;\n 22→ }\n 23→ h1 {\n 24→ font-size: 2.5rem;\n 25→ margin-bottom: 1rem;\n 26→ }\n 27→ p {\n 28→ font-size: 1.2rem;\n 29→ margin-bottom: 2rem;\n 30→ }\n 31→ a {\n 32→ color: white;\n 33→ text-decoration: none;\n 34→ background: rgba(255, 255, 255, 0.2);\n 35→ padding: 0.75rem 1.5rem;\n 36→ border-radius: 0.5rem;\n 37→ transition: background 0.3s;\n 38→ display: inline-block;\n 39→ }\n 40→ a:hover {\n 41→ background: rgba(255, 255, 255, 0.3);\n 42→ }\n 43→ </style>\n 44→</head>\n 45→<body>\n 46→ <div class=\"container\">\n 47→ <h1>🏜️ Dunes</h1>\n 48→ <p>High-performance tree data structures for Rust</p>\n 49→ <p>Redirecting to benchmark results...</p>\n 50→ <a href=\"dev/bench/index.html\">View Benchmarks</a>\n 51→ </div>\n 52→</body>\n 53→</html>\n 54→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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[2025-12-04T06:54:54.306Z] [INFO] {
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"text": "This is just a redirect page. The actual visualization is auto-generated by the GitHub Action. Let me check what the benchmark action generates and understand the issue description better. The issue says \"These benchmarks should use the same charts with ART benchmarks data with toggles to easy see difference between trees\".\n\nLooking at the benchmark naming convention, I can see that:\n- SBT benchmarks are named: `sbt_insert_100`, `sbt_insert_search_100`, `sbt_full_cycle_100`\n- ART benchmarks are named: `art_insert_100`, `art_insert_search_100`, `art_full_cycle_100`\n\nThe GitHub Action uses `benchmark-action/github-action-benchmark@v1` which automatically creates charts grouping benchmarks by similar names. The \"toggles\" mentioned in the issue likely refer to the ability to toggle between SBT and ART data on the same chart, which the action already provides when benchmarks have similar names (e.g., `sbt_insert_100` and `art_insert_100` would appear on the same \"Insert 100\" chart).\n\nNow I understand what's missing:\n\n1. **Missing `full_cycle_10000` benchmarks for both SBT and ART** - This is clearly missing when comparing to the insert and insert_search patterns\n2. The benchmarks are already properly named to appear on the same charts with toggles\n\nLet me update my todos:"
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"content": "The file /tmp/gh-issue-solver-1764831144502/crates/trees/benches/trees_bench.rs has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 116→ c.bench_function(\"sbt_full_cycle_100\", |b| {\n 117→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(100))\n 118→ });\n 119→\n 120→ c.bench_function(\"sbt_full_cycle_1000\", |b| {\n 121→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n 122→ });\n 123→\n 124→ c.bench_function(\"sbt_full_cycle_10000\", |b| {\n 125→ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(10_000))\n 126→ });\n 127→}\n 128→\n 129→fn art_benchmarks(c: &mut Criterion) {\n 130→ c.bench_function(\"art_insert_100\", |b| {\n 131→ b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(100))"
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[2025-12-04T06:55:16.495Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B2w5jnU9Ani2MxeeRJV84D","type":"tool_result","content":"The file /tmp/gh-issue-solver-1764831144502/crates/trees/benches/trees_bench.rs has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 158→ c.bench_function(\"art_full_cycle_100\", |b| {\n 159→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(100))\n 160→ });\n 161→\n 162→ c.bench_function(\"art_full_cycle_1000\", |b| {\n 163→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n 164→ });\n 165→\n 166→ c.bench_function(\"art_full_cycle_10000\", |b| {\n 167→ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(10_000))\n 168→ });\n 169→}\n 170→\n 171→criterion_group!(benches, sbt_benchmarks, art_benchmarks);\n 172→criterion_main!(benches);\n 173→"}]},"parent_tool_use_id":null,"session_id":"a9624458-2ef8-4e3f-8c5a-515a8c464911","uuid":"2c583dd6-4014-4401-8547-64e5a85facfc","tool_use_result":{"filePath":"/tmp/gh-issue-solver-1764831144502/crates/trees/benches/trees_bench.rs","oldString":" c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n}","newString":" c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n\n c.bench_function(\"art_full_cycle_10000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(10_000))\n });\n}","originalFile":"mod common;\n\nuse {\n common::Store,\n criterion::{Criterion, black_box, criterion_group, criterion_main},\n trees::{Idx, Tree},\n};\n\n/// Trait for tree stores that can be reset and created\ntrait BenchStore<T: Idx>: Tree<T> {\n fn new(capacity: usize) -> Self;\n fn reset(&mut self);\n}\n\nimpl<T: Idx> BenchStore<T> for Store<T> {\n fn new(capacity: usize) -> Self {\n Sto
[2025-12-04T06:55:16.516Z] [INFO] re::new(capacity)\n }\n\n fn reset(&mut self) {\n Store::reset(self)\n }\n}\n\nimpl<T: Idx> BenchStore<T> for common::ArtStore<T> {\n fn new(capacity: usize) -> Self {\n common::ArtStore::new(capacity)\n }\n\n fn reset(&mut self) {\n common::ArtStore::reset(self)\n }\n}\n\n// Helper function for insert benchmarks\nfn bench_insert_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n black_box(root);\n store.reset();\n }\n}\n\n// Helper function for insert and search benchmarks\nfn bench_insert_and_search_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n for i in 1..n {\n black_box(store.contains(root.unwrap(), T::from(i)));\n }\n store.reset();\n }\n}\n\n// Helper function for full cycle benchmarks\nfn bench_insert_remove_impl<S, T>(n: usize) -> impl FnMut()\nwhere\n S: BenchStore<T>,\n T: Idx + From<usize>,\n{\n let mut store = S::new(n);\n move || {\n let mut root = None;\n for i in 1..n {\n root = store.insert(root, T::from(i));\n }\n for i in 1..n {\n root = store.remove(root, T::from(i));\n }\n black_box(root);\n store.reset();\n }\n}\n\nfn sbt_benchmarks(c: &mut Criterion) {\n c.bench_function(\"sbt_insert_100\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_insert_1000\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_insert_10000\", |b| {\n b.iter(bench_insert_impl::<Store<usize>, usize>(10_000))\n });\n\n c.bench_function(\"sbt_insert_search_100\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_insert_search_1000\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_insert_search_10000\", |b| {\n b.iter(bench_insert_and_search_impl::<Store<usize>, usize>(10_000))\n });\n\n c.bench_function(\"sbt_full_cycle_100\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(100))\n });\n\n c.bench_function(\"sbt_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n });\n\n c.bench_function(\"sbt_full_cycle_10000\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(10_000))\n });\n}\n\nfn art_benchmarks(c: &mut Criterion) {\n c.bench_function(\"art_insert_100\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_insert_1000\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n\n c.bench_function(\"art_insert_10000\", |b| {\n b.iter(bench_insert_impl::<common::ArtStore<usize>, usize>(10_000))\n });\n\n c.bench_function(\"art_insert_search_100\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_insert_search_1000\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 1_000,\n ))\n });\n\n c.bench_function(\"art_insert_search_10000\", |b| {\n b.iter(bench_insert_and_search_impl::<common::ArtStore<usize>, usize>(\n 10_000,\n ))\n });\n\n c.bench_function(\"art_full_cycle_100\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(100))\n });\n\n c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n}\n\ncriterion_group!(benches, sbt_benchmarks, art_benchmarks);\ncriterion_main!(benches);\n","structuredPatch":[{"oldStart":162,"oldLines":6,"newStart":162,"newLines":10,"lines":[" c.bench_function(\"art_full_cycle_1000\", |b| {"," b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))"," });","+","+ c.bench_function(\"art_full_cycle_10000\", |b| {","+ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(10_000))","+ });"," }"," "," criterion_group!(benches, sbt_benchmarks, art_benchmarks);"]}],"userModified":false,"replaceAll":false}}
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"text": "Perfect! Now let me verify the benchmark naming follows the pattern for chart grouping:"
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[2025-12-04T06:55:31.584Z] [INFO] {
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[2025-12-04T06:55:32.474Z] [INFO] {
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"content": " 1→#!/usr/bin/env python3\n 2→\"\"\"\n 3→Convert cargo bench output to custom JSON format with million links/second metric.\n 4→\n 5→For tree benchmarks, we want to show throughput (M links/sec) rather than\n 6→time (ns/iter), as it's more meaningful and readable for understanding performance.\n 7→Values like \"115.08 M links/sec\" are much easier to read than \"115076784 links/sec\".\n 8→\"\"\"\n 9→\n 10→import json\n 11→import re\n 12→import sys\n 13→\n 14→\n 15→def parse_bench_output(output_file):\n 16→ \"\"\"Parse cargo bench output and extract benchmark results.\"\"\"\n 17→ with open(output_file, 'r') as f:\n 18→ content = f.read()\n 19→\n 20→ # Pattern to match old cargo bench format:\n 21→ # test sbt_insert_100 ... bench: 2,715.35 ns/iter (+/- 958.21)\n 22→ old_pattern = r'test\\s+(\\w+)\\s+\\.\\.\\.\\s+bench:\\s+([\\d,]+(?:\\.\\d+)?)\\s+ns/iter\\s+\\(\\+/-\\s+([\\d,]+(?:\\.\\d+)?)\\)'\n 23→\n 24→ # Pattern to match criterion format:\n 25→ # sbt_insert_100 time: [2.7153 µs 2.7634 µs 2.8164 µs]\n 26→ criterion_pattern = r'(\\w+)\\s+time:\\s+\\[([0-9.]+)\\s+([µnm]?s)\\s+([0-9.]+)\\s+([µnm]?s)\\s+([0-9.]+)\\s+([µnm]?s)\\]'\n 27→\n 28→ results = []\n 29→\n 30→ # Try criterion format first\n 31→ for match in re.finditer(criterion_pattern, content):\n 32→ bench_name = match.group(1)\n 33→ time_low = float(match.group(2))\n 34→ unit_low = match.group(3)\n 35→ time_avg = float(match.group(4))\n 36→ unit_avg = match.group(5)\n 37→ time_high = float(match.group(6))\n 38→ unit_high = match.group(7)\n 39→\n 40→ # Convert to nanoseconds\n 41→ def to_ns(value, unit):\n 42→ if unit == 'ns':\n 43→ return value\n 44→ elif unit == 'µs' or unit == 'us':\n 45→ return value * 1000\n 46→ elif unit == 'ms':\n 47→ return value * 1_000_000\n 48→ elif unit == 's':\n 49→ return value * 1_000_000_000\n 50→ return value\n 51→\n 52→ time_ns = to_ns(time_avg, unit_avg)\n 53→ time_ns_low = to_ns(time_low, unit_low)\n 54→ time_ns_high = to_ns(time_high, unit_high)\n 55→ variance = (time_ns_high - time_ns_low) / 2\n 56→\n 57→ # Extract the number of operations from benchmark name\n 58→ # sbt_insert_100 -> 100 links\n 59→ # sbt_insert_1000 -> 1000 links\n 60→ # sbt_insert_10000 -> 10000 links\n 61→ # sbt_i***********h_100 -> 100 links (insert) + 100 links (search) = 200 operations\n 62→ # sbt_full_cycle_100 -> 100 links (insert) + 100 links (remove) = 200 operations\n 63→\n 64→ num_match = re.search(r'_(\\d+)$', bench_name)\n 65→ if not num_match:\n 66→ continue\n 67→\n 68→ n = int(num_match.group(1))\n 69→\n 70→ # Determine the number of operations based on benchmark type\n 71→ if 'insert_search' in bench_name:\n 72→ # Insert n elements, then search n elements\n 73→ num_operations = n + n\n 74→ elif 'full_cycle' in bench_name:\n 75→ # Insert n elements, then remove n elements\n 76→ num_operations = n + n\n 77→ else:\n 78→ # Just insert n elements\n 79→ num_operations = n\n 80→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#!/usr/bin/env python3\n\"\"\"\nConvert cargo bench output to custom JSON format with million links/second metric.\n\nFor tree benchmarks, we want to show throughput (M links/sec) rather than\ntime (ns/iter), as it's more meaningful and readable for understanding performance.\nValues like \"115.08 M links/sec\" are much easier to read than \"115076784 links/sec\".\n\"\"\"\n\nimport json\nimport re\nimport sys\n\n\ndef parse_bench_output(output_file):\n \"\"\"Parse cargo bench output and extract benchmark results.\"\"\"\n with open(output_file, 'r') as f:\n content = f.read()\n\n # Pattern to match old cargo bench format:\n # test sbt_insert_100 ... bench: 2,715.35 ns/iter (+/- 958.21)\n old_pattern = r'test\\s+(\\w+)\\s+\\.\\.\\.\\s+bench:\\s+([\\d,]+(?:\\.\\d+)?)\\s+ns/iter\\s+\\(\\+/-\\s+([\\d,]+(?:\\.\\d+)?)\\)'\n\n # Pattern to match criterion format:\n # sbt_insert_100 time: [2.7153 µs 2.7634 µs 2.8164 µs]\n criterion_pattern = r'(\\w+)\\s+time:\\s+\\[([0-9.]+)\\s+([µnm]?s)\\s+([0-9.]+)\\s+([µnm]?s)\\s+([0-9.]+)\\s+([µnm]?s)\\]'\n\n results = []\n\n # Try criterion format first\n for match in re.finditer(criterion_pattern, content):\n bench_name = match.group(1)\n time_low = float(match.group(2))\n unit_low = match.group(3)\n time_avg = float(match.group(4))\n unit_avg = match.group(5)\n time_high = float(match.group(6))\n unit_high = match.group(7)\n\n # Convert to nanoseconds\n def to_ns(value, unit):\n if unit == 'ns':\n return value\n elif unit == 'µs' or unit == 'us':\n return value * 1000\n elif unit == 'ms':\n return value * 1_000_000\n elif unit == 's':\n return value * 1_000_000_000\n return value\n\n time_ns = to_ns(time_avg, unit_avg)\n time_ns_low = to_ns(time_low, unit_low)\n time_ns_high = to_ns(time_high, unit_high)\n variance = (time_ns_high - time_ns_low) / 2\n\n # Extract the number of operations from benchmark name\n # sbt_insert_100 -> 100 links\n # sbt_insert_1000 -> 1000 links\n # sbt_insert_10000 -> 10000 links\n # sbt_i***********h_100 -> 100 links (insert) + 100 links (search) = 200 operations\n # sbt_full_cycle_100 -> 100 links (insert) + 100 links (remove) = 200 operations\n\n num_match = re.search(r'_(\\d+)$', bench_name)\n if not num_match:\n continue\n\n n = int(num_match.group(1))\n\n # Determine the number of operations based on benchmark type\n if 'insert_search' in bench_name:\n # Insert n elements, then search n elements\n num_operations = n + n\n elif 'full_cycle' in bench_name:\n # Insert n elements, then remove n elements\n num_operations = n + n\n else:\n # Just insert n elements\n num_operations = n\n",
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"content": " 80→\n 81→ # Calculate links/second (throughput)\n 82→ # time_ns is time for num_operations operations\n 83→ # links/second = num_operations / (time_ns / 1e9)\n 84→ time_seconds = time_ns / 1e9\n 85→ links_per_second = num_operations / time_seconds\n 86→\n 87→ # Convert to million links per second for better readability\n 88→ milli**************econd = links_per_second / 1_000_000\n 89→\n 90→ # Calculate variance in links/second\n 91→ # If time varies by ± variance_ns, then throughput varies inversely\n 92→ time_low = (time_ns - variance) / 1e9\n 93→ time_high = (time_ns + variance) / 1e9\n 94→ links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n 95→ links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n 96→\n 97→ # Use the average of the differences as the range (in millions)\n 98→ range_value = (links_per_second_high - links_per_second_low) / 2 / 1_000_000\n 99→\n 100→ # Create a more descriptive name for the chart\n 101→ # Group benchmarks by operation type\n 102→ if 'insert_search' in bench_name:\n 103→ bench_type = 'Insert + Search'\n 104→ elif 'full_cycle' in bench_name:\n 105→ bench_type = 'Insert + Remove'\n 106→ elif 'insert' in bench_name:\n 107→ bench_type = 'Insert Only'\n 108→ else:\n 109→ bench_type = 'Unknown'\n 110→\n 111→ chart_name = f'{bench_type} ({n} elements)'\n 112→\n 113→ results.append({\n 114→ 'name': chart_name,\n 115→ 'unit': 'M links/sec',\n 116→ 'value': round(million_links_per_second, 2),\n 117→ 'range': f'± {round(range_value, 2)}',\n 118→ 'extra': f'{num_operations} operations in {time_ns:.2f} ns/iter'\n 119→ })\n 120→\n 121→ # If criterion format didn't match, try old format\n 122→ if not results:\n 123→ for match in re.finditer(old_pattern, content):\n 124→ bench_name = match.group(1)\n 125→ time_ns = float(match.group(2).replace(',', ''))\n 126→ variance = float(match.group(3).replace(',', ''))\n 127→\n 128→ # Extract the number of operations from benchmark name\n 129→ num_match = re.search(r'_(\\d+)$', bench_name)\n 130→ if not num_match:\n 131→ continue\n 132→\n 133→ n = int(num_match.group(1))\n 134→\n 135→ # Determine the number of operations based on benchmark type\n 136→ if 'insert_search' in bench_name:\n 137→ num_operations = n + n\n 138→ elif 'full_cycle' in bench_name:\n 139→ num_operations = n + n\n 140→ else:\n 141→ num_operations = n\n 142→\n 143→ # Calculate links/second (throughput)\n 144→ time_seconds = time_ns / 1e9\n 145→ links_per_second = num_operations / time_seconds\n 146→\n 147→ # Calculate variance in links/second\n 148→ time_low = (time_ns - variance) / 1e9\n 149→ time_high = (time_ns + variance) / 1e9\n 150→ links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n 151→ links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n 152→ range_value = (links_per_second_high - links_per_second_low) / 2\n 153→\n 154→ # Create a more descriptive name for the chart\n 155→ if 'insert_search' in bench_name:\n 156→ bench_type = 'Insert + Search'\n 157→ elif 'full_cycle' in bench_name:\n 158→ bench_type = 'Insert + Remove'\n 159→ elif 'insert' in bench_name:\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "\n # Calculate links/second (throughput)\n # time_ns is time for num_operations operations\n # links/second = num_operations / (time_ns / 1e9)\n time_seconds = time_ns / 1e9\n links_per_second = num_operations / time_seconds\n\n # Convert to million links per second for better readability\n milli**************econd = links_per_second / 1_000_000\n\n # Calculate variance in links/second\n # If time varies by ± variance_ns, then throughput varies inversely\n time_low = (time_ns - variance) / 1e9\n time_high = (time_ns + variance) / 1e9\n links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n\n # Use the average of the differences as the range (in millions)\n range_value = (links_per_second_high - links_per_second_low) / 2 / 1_000_000\n\n # Create a more descriptive name for the chart\n # Group benchmarks by operation type\n if 'insert_search' in bench_name:\n bench_type = 'Insert + Search'\n elif 'full_cycle' in bench_name:\n bench_type = 'Insert + Remove'\n elif 'insert' in bench_name:\n bench_type = 'Insert Only'\n else:\n bench_type = 'Unknown'\n\n chart_name = f'{bench_type} ({n} elements)'\n\n results.append({\n 'name': chart_name,\n 'unit': 'M links/sec',\n 'value': round(million_links_per_second, 2),\n 'range': f'± {round(range_value, 2)}',\n 'extra': f'{num_operations} operations in {time_ns:.2f} ns/iter'\n })\n\n # If criterion format didn't match, try old format\n if not results:\n for match in re.finditer(old_pattern, content):\n bench_name = match.group(1)\n time_ns = float(match.group(2).replace(',', ''))\n variance = float(match.group(3).replace(',', ''))\n\n # Extract the number of operations from benchmark name\n num_match = re.search(r'_(\\d+)$', bench_name)\n if not num_match:\n continue\n\n n = int(num_match.group(1))\n\n # Determine the number of operations based on benchmark type\n if 'insert_search' in bench_name:\n num_operations = n + n\n elif 'full_cycle' in bench_name:\n num_operations = n + n\n else:\n num_operations = n\n\n # Calculate links/second (throughput)\n time_seconds = time_ns / 1e9\n links_per_second = num_operations / time_seconds\n\n # Calculate variance in links/second\n time_low = (time_ns - variance) / 1e9\n time_high = (time_ns + variance) / 1e9\n links***********_high = num_operations / time_low if time_low > 0 else links_per_second\n links**********d_low = num_operations / time_high if time_high > 0 else links_per_second\n range_value = (links_per_second_high - links_per_second_low) / 2\n\n # Create a more descriptive name for the chart\n if 'insert_search' in bench_name:\n bench_type = 'Insert + Search'\n elif 'full_cycle' in bench_name:\n bench_type = 'Insert + Remove'\n elif 'insert' in bench_name:",
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"text": "Perfect! The format script shows that benchmarks are automatically grouped by operation type and element count (line 111: `chart_name = f'{bench_type} ({n} elements)'`). This means:\n\n- `sbt_full_cycle_10000` and `art_full_cycle_10000` will both appear on the chart \"Insert + Remove (10000 elements)\"\n- The benchmark action will automatically create toggles to compare SBT vs ART data on the same chart\n\nThis is exactly what the issue is asking for! The naming convention is correct and follows the pattern. Let me verify this and move on:"
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[2025-12-04T06:55:49.040Z] [INFO] ssing full_cycle_10000 benchmark for SBT","status":"completed","activeForm":"Adding missing full_cycle_10000 benchmark for SBT"},{"content":"Add missing full_cycle_10000 benchmark for ART","status":"completed","activeForm":"Adding missing full_cycle_10000 benchmark for ART"},{"content":"Verify benchmark naming follows pattern for chart grouping","status":"completed","activeForm":"Verifying benchmark naming follows pattern for chart grouping"},{"content":"Run local benchmark to ensure new benchmarks work correctly","status":"in_progress","activeForm":"Running local benchmark to ensure new benchmarks work correctly"},{"content":"Run local CI checks (cargo fmt, cargo clippy if available)","status":"pending","activeForm":"Running local CI checks (cargo fmt, cargo clippy if available)"},{"content":"Commit changes with clear message following repo style","status":"pending","activeForm":"Committing changes with clear message following repo style"},{"content":"Verify CI passes and update PR description","status":"pending","activeForm":"Verifying CI passes and updating PR description"}]}}
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[2025-12-04T06:56:46.938Z] [INFO] {
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"content": "<status>running</status>\n\n<stdout>\n Compiling proc-macro2 v1.0.101\n Compiling unicode-ident v1.0.19\n Compiling libc v0.2.175\n Compiling cfg-if v1.0.3\n Compiling quote v1.0.40\n Compiling zerocopy v0.8.31\n Compiling syn v2.0.106\n Compiling getrandom v0.3.3\n Compiling crossbeam-utils v0.8.21\n Compiling serde_core v1.0.228\n Compiling autocfg v1.5.0\n Compiling num-traits v0.2.19\n Compiling zerocopy-derive v0.8.31\n Compiling find-msvc-tools v0.1.5\n Compiling serde v1.0.228\n Compiling rustix v1.1.2\n Compiling shlex v1.3.0\n Compiling cc v1.2.48\n Compiling serde_derive v1.0.228\n Compiling crossbeam-epoch v0.9.18\n Compiling rand_core v0.9.3\n Compiling rayon-core v1.13.0\n Compiling regex-syntax v0.8.8\n Compiling linux-raw-sys v0.11.0\n Compiling either v1.15.0\n Compiling serde_json v1.0.145\n Compiling bitflags v2.9.4\n Compiling crossbeam-deque v0.8.6\n Compiling half v2.7.1\n Compiling alloca v0.4.0\n Compiling itoa v1.0.15\n Compiling plotters-backend v0.3.7\n Compiling anstyle v1.0.13\n Compiling memchr v2.7.6\n Compiling clap_lex v0.7.6\n Compiling ciborium-io v0.2.2\n Compiling once_cell v1.21.3\n Compiling fastrand v2.3.0\n Compiling ryu v1.0.20\n Compiling tempfile v3.22.0\n Compiling ciborium-ll v0.2.2\n Compiling clap_builder v4.5.53\n Compiling plotters-svg v0.3.7\n Compiling itertools v0.13.0\n Compiling regex-automata v0.4.13\n Compiling ppv-lite86 v0.2.21\n Compiling bytemuck_derive v1.10.2\n Compiling wait-timeout v0.2.1\n Compiling same-file v1.0.6\n Compiling bit-vec v0.8.0\n Compiling quick-error v1.2.3\n Compiling cast v0.3.0\n Compiling fnv v1.0.7\n Compiling criterion-plot v0.8.0\n Compiling rusty-fork v0.3.1\n Compiling bit-set v0.8.0\n Compiling walkdir v2.5.0\n Compiling bytemuck v1.23.2\n Compiling rand_chacha v0.9.0\n Compiling regex v1.12.2\n Compiling clap v4.5.53\n Compiling rayon v1.11.0\n Compiling plotters v0.3.7\n Compiling ciborium v0.2.2\n Compiling tinytemplate v1.2.1\n Compiling rand v0.9.2\n Compiling rand_xorshift v0.4.0\n Compiling page_size v0.6.0\n Compiling anes v0.1.6\n Compiling unarray v0.1.4\n Compiling oorandom v11.1.5\n Compiling criterion v0.8.0\n Compiling proptest v1.9.0\n Compiling trees v0.1.0 (/tmp/gh-issue-solver-1764831144502/crates/trees)\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:5:26\n |\n5 | criterion::{Criterion, black_box, criterion_group, criterion_main},\n | ^^^^^^^^^\n |\n = note: `#[warn(deprecated)]` on by default\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:47:5\n |\n47 | black_box(root);\n | ^^^^^^^^^\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:65:7\n |\n65 | black_box(store.contains(root.unwrap(), T::from(i)));\n | ^^^^^^^^^\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:86:5\n |\n86 | black_box(root);\n | ^^^^^^^^^\n\nwarning: `trees` (bench \"trees_bench\") generated 4 warnings\n Finished `bench` profile [optimized] target(s) in 1m 14s\n Running benches/trees_bench.rs (target/release/deps/trees_bench-38008afdf690b594)\nGnuplot not found, using plotters backend\nBenchmarking sbt_full_cycle_10000\nBenchmarking sbt_full_cycle_10000: Warming up for 3.0000 s\nBenchmarking sbt_full_cycle_10000: Collecting 100 samples in estimated 7.4798 s (15k iterations)\n</stdout>\n\n<timestamp>2025-12-04T06:57:21.292Z</timestamp>"
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[2025-12-04T06:57:24.271Z] [INFO] {
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"content": "<status>completed</status>\n\n<exit_code>0</exit_code>\n\n<stdout>\n Compiling proc-macro2 v1.0.101\n Compiling unicode-ident v1.0.19\n Compiling libc v0.2.175\n Compiling cfg-if v1.0.3\n Compiling quote v1.0.40\n Compiling zerocopy v0.8.31\n Compiling syn v2.0.106\n Compiling getrandom v0.3.3\n Compiling crossbeam-utils v0.8.21\n Compiling serde_core v1.0.228\n Compiling autocfg v1.5.0\n Compiling num-traits v0.2.19\n Compiling zerocopy-derive v0.8.31\n Compiling find-msvc-tools v0.1.5\n Compiling serde v1.0.228\n Compiling rustix v1.1.2\n Compiling shlex v1.3.0\n Compiling cc v1.2.48\n Compiling serde_derive v1.0.228\n Compiling crossbeam-epoch v0.9.18\n Compiling rand_core v0.9.3\n Compiling rayon-core v1.13.0\n Compiling regex-syntax v0.8.8\n Compiling linux-raw-sys v0.11.0\n Compiling either v1.15.0\n Compiling serde_json v1.0.145\n Compiling bitflags v2.9.4\n Compiling crossbeam-deque v0.8.6\n Compiling half v2.7.1\n Compiling alloca v0.4.0\n Compiling itoa v1.0.15\n Compiling plotters-backend v0.3.7\n Compiling anstyle v1.0.13\n Compiling memchr v2.7.6\n Compiling clap_lex v0.7.6\n Compiling ciborium-io v0.2.2\n Compiling once_cell v1.21.3\n Compiling fastrand v2.3.0\n Compiling ryu v1.0.20\n Compiling tempfile v3.22.0\n Compiling ciborium-ll v0.2.2\n Compiling clap_builder v4.5.53\n Compiling plotters-svg v0.3.7\n Compiling itertools v0.13.0\n Compiling regex-automata v0.4.13\n Compiling ppv-lite86 v0.2.21\n Compiling bytemuck_derive v1.10.2\n Compiling wait-timeout v0.2.1\n Compiling same-file v1.0.6\n Compiling bit-vec v0.8.0\n Compiling quick-error v1.2.3\n Compiling cast v0.3.0\n Compiling fnv v1.0.7\n Compiling criterion-plot v0.8.0\n Compiling rusty-fork v0.3.1\n Compiling bit-set v0.8.0\n Compiling walkdir v2.5.0\n Compiling bytemuck v1.23.2\n Compiling rand_chacha v0.9.0\n Compiling regex v1.12.2\n Compiling clap v4.5.53\n Compiling rayon v1.11.0\n Compiling plotters v0.3.7\n Compiling ciborium v0.2.2\n Compiling tinytemplate v1.2.1\n Compiling rand v0.9.2\n Compiling rand_xorshift v0.4.0\n Compiling page_size v0.6.0\n Compiling anes v0.1.6\n Compiling unarray v0.1.4\n Compiling oorandom v11.1.5\n Compiling criterion v0.8.0\n Compiling proptest v1.9.0\n Compiling trees v0.1.0 (/tmp/gh-issue-solver-1764831144502/crates/trees)\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:5:26\n |\n5 | criterion::{Criterion, black_box, criterion_group, criterion_main},\n | ^^^^^^^^^\n |\n = note: `#[warn(deprecated)]` on by default\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:47:5\n |\n47 | black_box(root);\n | ^^^^^^^^^\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:65:7\n |\n65 | black_box(store.contains(root.unwrap(), T::from(i)));\n | ^^^^^^^^^\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:86:5\n |\n86 | black_box(root);\n | ^^^^^^^^^\n\nwarning: `trees` (bench \"trees_bench\") generated 4 warnings\n Finished `bench` profile [optimized] target(s) in 1m 14s\n Running benches/trees_bench.rs (target/release/deps/trees_bench-38008afdf690b594)\nGnuplot not found, using plotters backend\nBenchmarking sbt_full_cycle_10000\nBenchmarking sbt_full_cycle_10000: Warming up for 3.0000 s\nBenchmarking sbt_full_cycle_10000: Collecting 100 samples in estimated 7.4798 s (15k iterations)\nBenchmarking sbt_full_cycle_10000: Analyzing\nsbt_full_cycle_10000 time: [482.11 µs 491.64 µs 503.23 µs]\nFound 6 outliers among 100 measurements (6.00%)\n 3 (3.00%) high mild\n 3 (3.00%) high severe\n\nBenchmarking art_full_cycle_10000\nBenchmarking art_full_cycle_10000: Warming up for 3.0000 s\nBenchmarking art_full_cycle_10000: Collecting 100 samples in estimated 5.7440 s (25k iterations)\nBenchmarking art_full_cycle_10000: Analyzing\nart_full_cycle_10000 time: [227.94 µs 236.77 µs 247.02 µs]\nFound 10 outliers among 100 measurements (10.00%)\n 2 (2.00%) high mild\n 8 (8.00%) high severe\n</stdout>\n\n<timestamp>2025-12-04T06:57:48.860Z</timestamp>"
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"stdout": " Compiling proc-macro2 v1.0.101\n Compiling unicode-ident v1.0.19\n Compiling libc v0.2.175\n Compiling cfg-if v1.0.3\n Compiling quote v1.0.40\n Compiling zerocopy v0.8.31\n Compiling syn v2.0.106\n Compiling getrandom v0.3.3\n Compiling crossbeam-utils v0.8.21\n Compiling serde_core v1.0.228\n Compiling autocfg v1.5.0\n Compiling num-traits v0.2.19\n Compiling zerocopy-derive v0.8.31\n Compiling find-msvc-tools v0.1.5\n Compiling serde v1.0.228\n Compiling rustix v1.1.2\n Compiling shlex v1.3.0\n Compiling cc v1.2.48\n Compiling serde_derive v1.0.228\n Compiling crossbeam-epoch v0.9.18\n Compiling rand_core v0.9.3\n Compiling rayon-core v1.13.0\n Compiling regex-syntax v0.8.8\n Compiling linux-raw-sys v0.11.0\n Compiling either v1.15.0\n Compiling serde_json v1.0.145\n Compiling bitflags v2.9.4\n Compiling crossbeam-deque v0.8.6\n Compiling half v2.7.1\n Compiling alloca v0.4.0\n Compiling itoa v1.0.15\n Compiling plotters-backend v0.3.7\n Compiling anstyle v1.0.13\n Compiling memchr v2.7.6\n Compiling clap_lex v0.7.6\n Compiling ciborium-io v0.2.2\n Compiling once_cell v1.21.3\n Compiling fastrand v2.3.0\n Compiling ryu v1.0.20\n Compiling tempfile v3.22.0\n Compiling ciborium-ll v0.2.2\n Compiling clap_builder v4.5.53\n Compiling plotters-svg v0.3.7\n Compiling itertools v0.13.0\n Compiling regex-automata v0.4.13\n Compiling ppv-lite86 v0.2.21\n Compiling bytemuck_derive v1.10.2\n Compiling wait-timeout v0.2.1\n Compiling same-file v1.0.6\n Compiling bit-vec v0.8.0\n Compiling quick-error v1.2.3\n Compiling cast v0.3.0\n Compiling fnv v1.0.7\n Compiling criterion-plot v0.8.0\n Compiling rusty-fork v0.3.1\n Compiling bit-set v0.8.0\n Compiling walkdir v2.5.0\n Compiling bytemuck v1.23.2\n Compiling rand_chacha v0.9.0\n Compiling regex v1.12.2\n Compiling clap v4.5.53\n Compiling rayon v1.11.0\n Compiling plotters v0.3.7\n Compiling ciborium v0.2.2\n Compiling tinytemplate v1.2.1\n Compiling rand v0.9.2\n Compiling rand_xorshift v0.4.0\n Compiling page_size v0.6.0\n Compiling anes v0.1.6\n Compiling unarray v0.1.4\n Compiling oorandom v11.1.5\n Compiling criterion v0.8.0\n Compiling proptest v1.9.0\n Compiling trees v0.1.0 (/tmp/gh-issue-solver-1764831144502/crates/trees)\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:5:26\n |\n5 | criterion::{Criterion, black_box, criterion_group, criterion_main},\n | ^^^^^^^^^\n |\n = note: `#[warn(deprecated)]` on by default\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:47:5\n |\n47 | black_box(root);\n | ^^^^^^^^^\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:65:7\n |\n65 | black_box(store.contains(root.unwrap(), T::from(i)));\n | ^^^^^^^^^\n\nwarning: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:86:5\n |\n86 | black_box(root);\n | ^^^^^^^^^\n\nwarning: `trees` (bench \"trees_bench\") generated 4 warnings\n Finished `bench` profile [optimized] target(s) in 1m 14s\n Running benches/trees_bench.rs (target/release/deps/trees_bench-38008afdf690b594)\nGnuplot not found, using plotters backend\nBenchmarking sbt_full_cycle_10000\nBenchmarking sbt_full_cycle_10000: Warming up for 3.0000 s\nBenchmarking sbt_full_cycle_10000: Collecting 100 samples in estimated 7.4798 s (15k iterations)\nBenchmarking sbt_full_cycle_10000: Analyzing\nsbt_full_cycle_10000 time: [482.11 µs 491.64 µs 503.23 µs]\nFound 6 outliers among 100 measurements (6.00%)\n 3 (3.00%) high mild\n 3 (3.00%) high severe\n\nBenchmarking art_full_cycle_10000\nBenchmarking art_full_cycle_10000: Warming up for 3.0000 s\nBenchmarking art_full_cycle_10000: Collecting 100 samples in estimated 5.7440 s (25k iterations)\nBenchmarking art_full_cycle_10000: Analyzing\nart_full_cycle_10000 time: [227.94 µs 236.77 µs 247.02 µs]\nFound 10 outliers among 100 measurements (10.00%)\n 2 (2.00%) high mild\n 8 (8.00%) high severe",
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"text": "Perfect! Both benchmarks completed successfully:\n- `sbt_full_cycle_10000`: ~491.64 µs\n- `art_full_cycle_10000`: ~236.77 µs\n\nThe ART implementation is about 2x faster than SBT for the full cycle benchmark, which is expected. Let me mark this todo as complete and run cargo fmt:"
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[2025-12-04T06:58:03.464Z] [INFO] "}
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[2025-12-04T06:58:32.797Z] [INFO] {
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[2025-12-04T06:58:35.760Z] [INFO] {
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[2025-12-04T06:58:42.463Z] [INFO] {
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"content": "Exit code 101\n Checking quick-error v1.2.3\n Checking bit-vec v0.8.0\n Checking cast v0.3.0\n Checking walkdir v2.5.0\n Checking bit-set v0.8.0\n Checking criterion-plot v0.8.0\n Checking rusty-fork v0.3.1\n Checking bytemuck v1.23.2\n Checking rand_chacha v0.9.0\n Checking regex v1.12.2\n Checking alloca v0.4.0\n Checking rayon v1.11.0\n Checking ciborium v0.2.2\n Checking plotters v0.3.7\n Checking tinytemplate v1.2.1\n Checking clap v4.5.53\n Checking rand_xorshift v0.4.0\n Checking rand v0.9.2\n Checking page_size v0.6.0\n Checking unarray v0.1.4\n Checking oorandom v11.1.5\n Checking anes v0.1.6\n Checking criterion v0.8.0\n Checking proptest v1.9.0\n Checking trees v0.1.0 (/tmp/gh-issue-solver-1764831144502/crates/trees)\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:5:26\n |\n5 | criterion::{Criterion, black_box, criterion_group, criterion_main},\n | ^^^^^^^^^\n |\n = note: `-D deprecated` implied by `-D warnings`\n = help: to override `-D warnings` add `#[allow(deprecated)]`\n\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:47:5\n |\n47 | black_box(root);\n | ^^^^^^^^^\n\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:65:7\n |\n65 | black_box(store.contains(root.unwrap(), T::from(i)));\n | ^^^^^^^^^\n\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:86:5\n |\n86 | black_box(root);\n | ^^^^^^^^^\n\nerror: could not compile `trees` (bench \"trees_bench\") due to 4 previous errors\nwarning: build failed, waiting for other jobs to finish...",
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[2025-12-04T06:58:46.262Z] [INFO] {
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[2025-12-04T06:58:47.747Z] [INFO] {
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[2025-12-04T06:58:50.271Z] [INFO] {
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"content": "Saved working directory and index state WIP on issue-28-397ada389b8b: 6e8e51f Initial commit with task details for issue #28\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:5:26\n |\n5 | criterion::{Criterion, black_box, criterion_group, criterion_main},\n | ^^^^^^^^^\n |\n--\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:47:5\n |\n47 | black_box(root);\n | ^^^^^^^^^\n\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:65:7\n |\n65 | black_box(store.contains(root.unwrap(), T::from(i)));\n | ^^^^^^^^^\n\nerror: use of deprecated function `criterion::black_box`: use `std::hint::black_box()` instead\n --> crates/trees/benches/trees_bench.rs:86:5\n |\n86 | black_box(root);\n | ^^^^^^^^^",
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[2025-12-04T06:58:56.317Z] [INFO] {
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[2025-12-04T06:58:58.715Z] [INFO] {
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"content": "On branch issue-28-397ada389b8b\nYour branch is up to date with 'origin/issue-28-397ada389b8b'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\tmodified: crates/trees/benches/trees_bench.rs\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nDropped refs/stash@{0} (a5e06b084e3db4c67f3d0b6255de2ad3868146d8)",
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"content": " 1→name: CI\n 2→\n 3→on:\n 4→ push:\n 5→ branches: [ main ]\n 6→ pull_request:\n 7→ branches: [ main ]\n 8→\n 9→env:\n 10→ CARGO_TERM_COLOR: always\n 11→\n 12→jobs:\n 13→ test:\n 14→ name: Test\n 15→ runs-on: ubuntu-latest\n 16→ strategy:\n 17→ matrix:\n 18→ rust: [stable, nightly]\n 19→ steps:\n 20→ - uses: actions/checkout@v4\n 21→ - uses: dtolnay/rust-toolchain@master\n 22→ with:\n 23→ toolchain: ${{ matrix.rust }}\n 24→ - name: Run tests for all workspace crates\n 25→ run: cargo test --workspace --all-features\n 26→\n 27→ fmt:\n 28→ name: Format\n 29→ runs-on: ubuntu-latest\n 30→ steps:\n 31→ - uses: actions/checkout@v4\n 32→ - uses: dtolnay/rust-toolchain@nightly\n 33→ with:\n 34→ components: rustfmt\n 35→ - name: Check formatting\n 36→ run: cargo fmt --all -- --check\n 37→\n 38→ clippy:\n 39→ name: Clippy\n 40→ runs-on: ubuntu-latest\n 41→ steps:\n 42→ - uses: actions/checkout@v4\n 43→ - uses: dtolnay/rust-toolchain@stable\n 44→ with:\n 45→ components: clippy\n 46→ - name: Run clippy\n 47→ run: cargo clippy --workspace --all-features -- -D warnings\n 48→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"text": "I see the CI runs clippy with `--all-features` on the whole workspace, not just on benches. The deprecation warnings I saw are only in the benches, and since the CI checks don't run clippy specifically on benches with `-D warnings`, they should be fine. Let me verify by running the exact CI command:"
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"content": "test prop_************earch ... ok\ntest prop_*******************ering ... ok\ntest prop_*************serts ... ok\ntest prop_****************found ... ok\n\ntest result: ok. 5 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.02s\n\n Doc-tests dunes\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s\n\n Doc-tests mem\n\nrunning 4 tests\ntest crates/mem/src/raw.rs - raw::Page<'a,T>::assumed (line 74) ... ignored\ntest crates/mem/src/raw.rs - raw::Error::CapacityOverflow (line 19) ... ok\ntest crates/mem/src/raw.rs - raw::Page<'a,T>::zeroed (line 103) ... ok\ntest crates/mem/src/raw.rs - raw::RawMem::grow (line 135) - compile ... ok\n\ntest result: ok. 3 passed; 0 failed; 1 ignored; 0 measured; 0 filtered out; finished in 0.00s\n\nall doctests ran in 0.32s; merged doctests compilation took 0.31s\n Doc-tests trees\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s",
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[2025-12-04T07:00:17.439Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ESsP2wEokyPArLGXsLY6D","type":"tool_result","content":"diff --git a/crates/trees/benches/trees_bench.rs b/crates/trees/benches/trees_bench.rs\nindex 29e812c..67c7a07 100644\n--- a/crates/trees/benches/trees_bench.rs\n+++ b/crates/trees/benches/trees_bench.rs\n@@ -120,6 +120,10 @@ fn sbt_benchmarks(c: &mut Criterion) {\n c.bench_function(\"sbt_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n });\n+\n+ c.bench_function(\"sbt_full_cycle_10000\", |b| {\n+ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(10_000))\n+ });\n }\n \n fn art_benchmarks(c: &mut Criterion) {\n@@ -158,6 +162,10 @@ fn art_benchmarks(c: &mut Criterion) {\n c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n+\n+ c.bench_function(\"art_full_cycle_10000\", |b| {\n+ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(10_000))\n+ });\n }\n \n criterion_group!(benches, sbt_benchmarks, art_benchmarks);","is_error":false}]},"parent_tool_use_id":null,"session_id":"a9624458-2ef8-4e3f-8c5a-515a8c464911","uuid":"43cfd1d2-329d-4509-8ff6-1b1b418c3773","tool_use_result":{"stdout":"diff --git a/crates/trees/benches/trees_bench.rs b/crates/trees/benches/trees_bench.rs\nindex 29e812c..67c7a07 100644\n--- a/crates/trees/benches/trees_bench.rs\n+++ b/crates/trees/benches/trees_bench.rs\n@@ -120,6 +120,10 @@ fn sbt_benchmarks(c: &mut Criterion) {\n c.bench_function(\"sbt_full_cycle_1000\", |b| {\n b.iter(bench_insert_remove_impl::<Store<usize>, usize>(1_000))\n });\n+\n+ c.bench_function(\"sbt_full_cycle_10000\", |b| {\n+ b.iter(bench_insert_remove_impl::<Store<usize>, usize>(10_000))\n+ });\n }\n \n fn art_benchmarks(c: &mut Criterion) {\n@@ -158,6 +162,10 @@ fn art_benchmarks(c: &mut Criterion) {\n c.bench_function(\"art_full_cycle_1000\", |b| {\n b.iter(ben
[2025-12-04T07:00:17.483Z] [INFO] ch_insert_remove_impl::<common::ArtStore<usize>, usize>(1_000))\n });\n+\n+ c.bench_function(\"art_full_cycle_10000\", |b| {\n+ b.iter(bench_insert_remove_impl::<common::ArtStore<usize>, usize>(10_000))\n+ });\n }\n \n criterion_group!(benches, sbt_benchmarks, art_benchmarks);","stderr":"","interrupted":false,"isImage":false}}
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"text": "## ✅ Solution Complete!\n\nI've successfully solved issue #28 by adding the missing SBT benchmarks. Here's what was accomplished:\n\n### 🔍 **Problem Identified**\nThe benchmark suite had an inconsistency - while insert and insert_search operations had benchmarks for 100, 1000, and 10000 elements, the full_cycle (insert + remove) benchmarks were missing the 10000 element variant for both SBT and ART implementations.\n\n### ✨ **Solution Implemented**\nAdded two new benchmarks in `crates/trees/benches/trees_bench.rs`:\n1. **`sbt_full_cycle_10000`** - Tests insert and remove of 10,000 elements using Size-Balanced Tree\n2. **`art_full_cycle_10000`** - Tests insert and remove of 10,000 elements using Adaptive Radix Tree\n\n### 📊 **Chart Integration**\nThe benchmarks follow the existing naming convention and will automatically:\n- Appear on the same chart: **\"Insert + Remove (10000 elements)\"**\n- Provide toggle buttons to compare SBT vs ART performance\n- Be converted to \"Million links/sec\" metric for easy comparison\n\n### ✅ **Verification**\n- ✅ Benchmarks run successfully locally (ART ~2x faster than SBT)\n- ✅ All CI checks passed (tests, formatting, linting)\n- ✅ Benchmark workflow completed successfully\n- ✅ PR ready for review\n\n### 🔗 **Pull Request**\n**PR #29**: https://github.com/uselessgoddess/dunes/pull/29\n\nThe PR is now ready for review and all checks are passing!"
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"result": "## ✅ Solution Complete!\n\nI've successfully solved issue #28 by adding the missing SBT benchmarks. Here's what was accomplished:\n\n### 🔍 **Problem Identified**\nThe benchmark suite had an inconsistency - while insert and insert_search operations had benchmarks for 100, 1000, and 10000 elements, the full_cycle (insert + remove) benchmarks were missing the 10000 element variant for both SBT and ART implementations.\n\n### ✨ **Solution Implemented**\nAdded two new benchmarks in `crates/trees/benches/trees_bench.rs`:\n1. **`sbt_full_cycle_10000`** - Tests insert and remove of 10,000 elements using Size-Balanced Tree\n2. **`art_full_cycle_10000`** - Tests insert and remove of 10,000 elements using Adaptive Radix Tree\n\n### 📊 **Chart Integration**\nThe benchmarks follow the existing naming convention and will automatically:\n- Appear on the same chart: **\"Insert + Remove (10000 elements)\"**\n- Provide toggle buttons to compare SBT vs ART performance\n- Be converted to \"Million links/sec\" metric for easy comparison\n\n### ✅ **Verification**\n- ✅ Benchmarks run successfully locally (ART ~2x faster than SBT)\n- ✅ All CI checks passed (tests, formatting, linting)\n- ✅ Benchmark workflow completed successfully\n- ✅ PR ready for review\n\n### 🔗 **Pull Request**\n**PR #29**: https://github.com/uselessgoddess/dunes/pull/29\n\nThe PR is now ready for review and all checks are passing!",
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[2025-12-04T07:07:31.020Z] [INFO] 💰 Anthropic official cost captured: $1.363672
[2025-12-04T07:07:31.239Z] [INFO]
✅ Claude command completed
[2025-12-04T07:07:31.240Z] [INFO] 📊 Total messages: 0, Tool uses: 0
[2025-12-04T07:07:31.385Z] [INFO]
💰 Token Usage Summary:
[2025-12-04T07:07:31.386Z] [INFO]
📊 Claude Sonnet 4.5 (20250929):
[2025-12-04T07:07:31.387Z] [INFO] Model ID: claude-sonnet-4-5-20250929
[2025-12-04T07:07:31.388Z] [INFO] Provider: AgentRouter
[2025-12-04T07:07:31.388Z] [INFO] Context window: 1 000 000 tokens
[2025-12-04T07:07:31.389Z] [INFO] Max output: 64 000 tokens
[2025-12-04T07:07:31.389Z] [INFO] Input modalities: text, image
[2025-12-04T07:07:31.389Z] [INFO] Output modalities: text
[2025-12-04T07:07:31.390Z] [INFO] Knowledge cutoff: 2025-07-31
[2025-12-04T07:07:31.390Z] [INFO] Released: 2025-09-29
[2025-12-04T07:07:31.390Z] [INFO] Capabilities: Attachments, Reasoning, Temperature, Tool calls
[2025-12-04T07:07:31.392Z] [INFO] Open weights: No
[2025-12-04T07:07:31.392Z] [INFO]
[2025-12-04T07:07:31.393Z] [INFO] Usage:
[2025-12-04T07:07:31.393Z] [INFO] Input tokens: 142
[2025-12-04T07:07:31.393Z] [INFO] Cache creation tokens: 94 732
[2025-12-04T07:07:31.394Z] [INFO] Cache read tokens: 4 279 999
[2025-12-04T07:07:31.394Z] [INFO] Output tokens: 7 395
[2025-12-04T07:07:31.395Z] [INFO]
[2025-12-04T07:07:31.395Z] [INFO] Cost Calculation (USD):
[2025-12-04T07:07:31.395Z] [INFO] Input: 142 tokens × $6/M = $0.000852
[2025-12-04T07:07:31.396Z] [INFO] Output: 7 395 tokens × $30/M = $0.221850
[2025-12-04T07:07:31.396Z] [INFO] ─────────────────────────────────
[2025-12-04T07:07:31.397Z] [INFO] Total: $0.222702
[2025-12-04T07:07:31.397Z] [INFO]
💰 Cost estimation:
[2025-12-04T07:07:31.398Z] [INFO] Public pricing estimate: $0.222702 USD
[2025-12-04T07:07:31.398Z] [INFO] Calculated by Anthropic: $1.363672 USD
[2025-12-04T07:07:31.398Z] [INFO] Difference: $1.140970 (+512.33%)
[2025-12-04T07:07:31.399Z] [INFO] Total tokens: 102 269
[2025-12-04T07:07:31.400Z] [INFO]
🔍 Checking for uncommitted changes...
[2025-12-04T07:07:31.439Z] [INFO] ✅ No uncommitted changes found
[2025-12-04T07:07:31.440Z] [INFO] 🔄 Cleanup: Reverting CLAUDE.md commit
[2025-12-04T07:07:31.441Z] [INFO] Using saved commit hash: 6e8e51f...
[2025-12-04T07:07:31.441Z] [INFO] Checking if CLAUDE.md was modified since initial commit...
[2025-12-04T07:07:31.472Z] [INFO] No modifications detected, using standard git revert...
[2025-12-04T07:07:31.518Z] [INFO] 📦 Committed: CLAUDE.md revert
[2025-12-04T07:07:32.251Z] [INFO] Warning: Could not push CLAUDE.md revert
[2025-12-04T07:07:32.253Z] [INFO]
=== Session Summary ===
[2025-12-04T07:07:32.253Z] [INFO] ✅ Session ID: a9624458-2ef8-4e3f-8c5a-515a8c464911
[2025-12-04T07:07:32.258Z] [INFO] ✅ Complete log file: /home/hive/a9624458-2ef8-4e3f-8c5a-515a8c464911.log
[2025-12-04T07:07:32.259Z] [INFO]
💡 To continue this session in Claude Code interactive mode:
[2025-12-04T07:07:32.260Z] [INFO] (cd /tmp/gh-issue-solver-1764831144502 && claude --resume a9624458-2ef8-4e3f-8c5a-515a8c464911)
[2025-12-04T07:07:32.261Z] [INFO]
[2025-12-04T07:07:32.262Z] [INFO]
🔍 Searching for created pull requests or comments...
[2025-12-04T07:07:32.700Z] [INFO]
🔍 Checking for pull requests from branch issue-28-397ada389b8b...
[2025-12-04T07:07:33.191Z] [INFO] ✅ Found pull request #29: "Add missing full_cycle_10000 benchmarks for SBT and ART"
[2025-12-04T07:07:33.792Z] [INFO] ✅ PR body already contains issue reference
[2025-12-04T07:07:33.792Z] [INFO] ✅ PR is already ready for review
[2025-12-04T07:07:33.793Z] [INFO]
📎 Uploading solution draft log to Pull Request...
[2025-12-04T07:07:33.835Z] [INFO] 💰 Calculated cost: $0.222702
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