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author
Colin Flaherty
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added ci and pre-commit
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‎.github/workflows/ci.yml‎

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name: CI - pre-commit & run tests
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on:
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pull_request:
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branches: [ main ]
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jobs:
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lint-and-test:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v3
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.11.7' # or your preferred version
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- name: Install dependencies
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run: |
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./setup.sh
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- name: Run pre-commit
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run: pre-commit run --all-files
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- name: Run pytest
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run: pytest

‎.pre-commit-config.yaml‎

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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.5.0 # Use the latest stable version
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hooks:
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- id: trailing-whitespace
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- id: end-of-file-fixer
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- id: check-yaml
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- id: check-symlinks
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- id: check-added-large-files
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- id: check-case-conflict
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- id: check-json
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- repo: https://github.com/astral-sh/ruff-pre-commit
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# Ruff version.
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rev: v0.11.2
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hooks:
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# Run the linter.
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- id: ruff
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args: [ --fix ]
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# Run the formatter.
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- id: ruff-format
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# manual stages to auto-correct
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- id: ruff
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args: [ --fix ]
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stages: [manual]
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- id: ruff-format
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stages: [manual]
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- repo: https://github.com/Yelp/detect-secrets
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rev: v1.5.0
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hooks:
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- id: detect-secrets
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args: ['--baseline', '.secrets.baseline', 'audit']
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- repo: local
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hooks:
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- id: pyright
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name: pyright
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entry: pyright
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language: system
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types: [python]
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args: [--stats, -p, pyrightconfig.ci.json]

‎.secrets.baseline‎

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{
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"version": "1.5.0",
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"plugins_used": [
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{
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"name": "ArtifactoryDetector"
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},
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{
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"name": "AWSKeyDetector"
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},
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{
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"name": "AzureStorageKeyDetector"
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},
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{
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"name": "Base64HighEntropyString",
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"limit": 4.5
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},
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{
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"name": "BasicAuthDetector"
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},
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{
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"name": "CloudantDetector"
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},
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{
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"name": "DiscordBotTokenDetector"
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},
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{
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"name": "GitHubTokenDetector"
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},
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{
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"name": "GitLabTokenDetector"
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},
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{
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"name": "HexHighEntropyString",
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"limit": 3.0
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},
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{
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"name": "IbmCloudIamDetector"
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},
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{
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"name": "IbmCosHmacDetector"
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},
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{
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"name": "IPPublicDetector"
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},
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{
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"name": "JwtTokenDetector"
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},
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{
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"name": "KeywordDetector",
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"keyword_exclude": ""
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},
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{
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"name": "MailchimpDetector"
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},
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{
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"name": "NpmDetector"
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},
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{
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"name": "OpenAIDetector"
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},
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{
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"name": "PrivateKeyDetector"
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},
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{
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"name": "PypiTokenDetector"
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},
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{
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"name": "SendGridDetector"
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},
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{
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"name": "SlackDetector"
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},
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{
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"name": "SoftlayerDetector"
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},
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{
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"name": "SquareOAuthDetector"
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},
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{
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"name": "StripeDetector"
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},
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{
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"name": "TelegramBotTokenDetector"
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},
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{
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"name": "TwilioKeyDetector"
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}
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],
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"filters_used": [
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{
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"path": "detect_secrets.filters.allowlist.is_line_allowlisted"
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},
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{
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"path": "detect_secrets.filters.common.is_ignored_due_to_verification_policies",
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"min_level": 2
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},
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{
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"path": "detect_secrets.filters.heuristic.is_indirect_reference"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_likely_id_string"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_lock_file"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_not_alphanumeric_string"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_potential_uuid"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_prefixed_with_dollar_sign"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_sequential_string"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_swagger_file"
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},
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{
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"path": "detect_secrets.filters.heuristic.is_templated_secret"
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}
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],
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"results": {
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"setup.sh": [
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{
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"type": "Hex High Entropy String",
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"filename": "setup.sh",
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"hashed_secret": "7431e16af96558909e41438950a6ffe7ee811465",
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"is_verified": false,
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"line_number": 31
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}
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]
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},
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"generated_at": "2025-03-31T20:57:53Z"
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}

‎LICENSE‎

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@@ -30,4 +30,4 @@ licensed under the MIT License. The original code has been modified.
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Original copyright:
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© 2024 Anthropic, PBC
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Original license: https://github.com/modelcontextprotocol/servers/blob/main/LICENSE
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Original license: https://github.com/modelcontextprotocol/servers/blob/main/LICENSE

‎README.md‎

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### Running on more examples.
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There are 500 examples total in SWE-bench Verified. Note that this can take awhile, so there are a few levels of parallelism this repository supports.
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There are 500 examples total in SWE-bench Verified. Note that this can take awhile, so there are a few levels of parallelism this repository supports.
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- Firstly, we suggest running 8 processes. This is the `--num-processes` flag. Beyond this, Docker hits issues.
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- Secondly, we support a notion of breaking up the dataset into shards. This is the `--shard-ct` and `--shard-id` flags. This makes it relatively easy to split up the work across multiple machines, which circumnvents the issues with scaling Docker byeond 8 processes.
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‎cli.py‎

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from rich.panel import Panel
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from prompt_toolkit import prompt
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from prompt_toolkit.history import InMemoryHistory
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from termcolor import colored
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from tools.agent import Agent
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from utils.workspace_manager import WorkspaceManager
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MAX_OUTPUT_TOKENS_PER_TURN = 32768
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MAX_TURNS = 200
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def main():
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"""Main entry point for the CLI."""
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# Parse command-line arguments
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if not args.minimize_stdout_logs:
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logger_for_agent_logs.addHandler(logging.StreamHandler())
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else:
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logger_for_agent_logs.propagate = False
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logger_for_agent_logs.propagate = False
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# Check if ANTHROPIC_API_KEY is set
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if "ANTHROPIC_API_KEY" not in os.environ:
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)
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)
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else:
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logger_for_agent_logs.info("Agent CLI started. Waiting for user input. Press Ctrl+C to exit. Type 'exit' or 'quit' to end the session.")
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logger_for_agent_logs.info(
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"Agent CLI started. Waiting for user input. Press Ctrl+C to exit. Type 'exit' or 'quit' to end the session."
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)
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# Initialize LLM client
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client = get_client(
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# Initialize workspace manager
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workspace_path = Path(args.workspace).resolve()
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workspace_manager = WorkspaceManager(root=workspace_path, container_workspace=args.use_container_workspace)
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workspace_manager = WorkspaceManager(
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root=workspace_path, container_workspace=args.use_container_workspace
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)
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# Initialize agent
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agent = Agent(
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if args.problem_statement is not None:
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instruction = INSTRUCTION_PROMPT.format(
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location=workspace_path if args.use_container_workspace is None else args.use_container_workspace,
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pr_description=args.problem_statement
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location=(
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workspace_path
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if args.use_container_workspace is None
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else args.use_container_workspace
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),
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pr_description=args.problem_statement,
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)
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else:
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instruction = None
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break
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else:
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user_input = instruction
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logger_for_agent_logs.info(f"User instruction:\n{user_input}\n-------------")
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logger_for_agent_logs.info(
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f"User instruction:\n{user_input}\n-------------"
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)
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# Run the agent with the user input
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logger_for_agent_logs.info("\nAgent is thinking...")
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except Exception as e:
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logger_for_agent_logs.info(f"Error: {str(e)}")
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logger_for_agent_logs.info("\n" + '-' * 40 + "\n")
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logger_for_agent_logs.info("\n" + "-" * 40 + "\n")
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if instruction is not None:
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break
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if __name__ == "__main__":
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main()
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main()

‎example_ensembler_results.json‎

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"selected_diff": "@@ -45,3 +45,12 @@ def is_palindrome(text):\n cleaned_text = ''.join(c.lower() for c in text if c.isalnum())\n return cleaned_text == cleaned_text[::-1]\n \n+def is_valid_email(email):\n+ \"\"\"\n+ Check if a string is a valid email address.\n+ \"\"\"\n+ import re\n+ \n+ # Simple regex pattern for email validation\n+ pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$'\n+ return bool(re.match(pattern, email))\n",
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"is_eval_success": true
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}
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]
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]

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