{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "bootloops-ai-bootloops--reproduce-landau-one-loop-box",
 "repo": "BootLoops-ai/bootloops",
 "repo_url": "https://github.com/BootLoops-ai/bootloops",
 "repo_slug": "bootloops-ai-bootloops",
 "title": "Reproduce the one-loop box with the Landau Alphabet engine",
 "page_title": "How to reproduce the one-loop box with the Landau Alphabet engine with Bootloops",
 "summary": "Run the Landau Alphabet test to reproduce the solver's reference results for a one-loop box integral.",
 "who": "A physicist working on loop integrals who wants a first real computation to check the toolkit against known reference values.",
 "problem": "Loop integrals are easy to get subtly wrong. A first run against published reference results shows whether the solver is trustworthy for your setup.",
 "outcome": "The solver's reference results for the one-loop box, reproduced in about a minute and a half after setup.",
 "steps": [
  "Clone the repository: `git clone https://github.com/BootLoops-ai/bootloops` (inferred, check the README)",
  "Enter the directory: `cd bootloops` (inferred, check the README)",
  "Run the Landau Alphabet test: `python3 tools/landau-alphabet/test_landau_alphabet.py`",
  "Compare the printed results with the solver's reference results shown in the test output",
  "If the test skips, read the message, which names the engine you must install"
 ],
 "agent_prompt": "In the bootloops repository, run `python3 tools/landau-alphabet/test_landau_alphabet.py`. Report whether it reproduces the solver's reference results for the one-loop box and how long it took. Verify that the reported values match the reference values in the test, not values you computed yourself.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "This is a reproduction of reference results, so it confirms the engine against known outputs and does not by itself validate a new integral you have not checked.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Git to clone the repository",
  "Python 3.12",
  "Python packages mpmath, sympy, numpy, python-flint, and pytest",
  "Julia only for packages that ship Julia components",
  "An LLM agent such as Claude Code, Codex, or Cursor, or any agent you prefer"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/bootloops-ai-bootloops/reproduce-landau-one-loop-box/",
 "md": "https://dedupedai.com/use-cases/bootloops-ai-bootloops/reproduce-landau-one-loop-box/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/bootloops-ai-bootloops--reproduce-landau-one-loop-box.json",
 "api_version": "v1"
}