Rebuild lean-bench: pages in, verified indexed Lean out
Replaces the previous tree entirely. The pipeline is four separable pieces, each
testable on its own:
1. leanbench/llm.py provider-neutral OpenAI-compatible connector, stdlib only,
with retries, JSON coercion and a scripted client so the
rest of the code is testable without a network.
2. leanbench/detect.py per-page detection of formalizable mathematics. Case 1 is
mathematics asserted as fact (definition/theorem/lemma/...,
deliberately not sub-classified); case 2 is a problem left
open to the reader. Hits come back as spans -- start page
and index, end page and index -- so several per page is
normal. A hit cut off by the page end makes the detector
re-read that page together with the next, repeatedly, so an
item spread over three pages is found whole.
Offsets come from verbatim quotes resolved by
leanbench/anchors.py (exact -> whitespace-insensitive ->
fuzzy), because models quote well and count badly.
3. leanbench/formalize.py + leanbench/verify.py
each span becomes one Lean 4 declaration, judged by the real
compiler: full elaboration for case 1, statement legality
only for case 2, which has no proof to check. Lean's own
diagnostics feed back for a repair attempt. "verified" (Lean
accepted it) and "proved" (accepted with no sorry) are kept
strictly apart.
4. leanbench/db.py indexed SQLite plus JSONL export. Every item is indexed by
the types of its inputs, or by its own type when it is not a
proof, and records the source book (sha256) and the page it
starts on -- so `drop --source H --pages A-B` followed by a
re-ingest redoes exactly those pages and nothing else.
Infrastructure:
- lean/ Lake project pinned to Mathlib.
- docker/ image carrying Lean 4 and a prebuilt Mathlib. The Mathlib
revision and the toolchain are resolved against each other at
build time rather than both hardcoded, so the build does not rot.
docker/smoke.py runs the whole pipeline inside the image against
the real compiler, with the LLM scripted.
- .gitea/workflows ci (lint + tests in a venv, since the runner image's Python is
Debian-managed and refuses installs into itself), docker (build,
verify, optionally push), ingest (submit a book by hand).
The docker workflow is not a throwaway build: it leaves the image, the layer cache,
an idle `lean-bench` container and the `lean-bench-data` / `lean-bench-books`
volumes in place on the runner, and never prunes, so the environment is there to be
used afterwards. Pushing to the registry is optional and cannot fail the build --
Gitea's container registry does not accept the built-in Actions token, so that needs
a REGISTRY_TOKEN secret with write:package.
58 tests; they need neither network nor Lean.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ci5T3gWDhhmqDec3e1XtYZ
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from __future__ import annotations
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from leanbench.document import Document, Page, PageWindow, normalise_page_text
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def test_pages_are_numbered_from_one(two_page_book: Document) -> None:
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assert len(two_page_book) == 2
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assert [p.number for p in two_page_book.pages] == [1, 2]
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assert two_page_book.page(1).text.startswith("Chapter 1")
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def test_window_locate_maps_back_to_the_right_page() -> None:
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window = PageWindow([Page(7, "abcdef"), Page(8, "ghij")])
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assert window.text == "abcdef\nghij"
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assert window.locate(0) == (7, 0)
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assert window.locate(5) == (7, 5)
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assert window.locate(6) == (7, 6) # end of page 7
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assert window.locate(7) == (8, 0) # first char of page 8
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assert window.locate(10) == (8, 3)
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assert window.locate(999) == (8, 4) # clamped
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def test_window_globalise_is_the_inverse() -> None:
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window = PageWindow([Page(1, "hello"), Page(2, "world")])
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for page, offset in [(1, 0), (1, 4), (2, 0), (2, 4)]:
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assert window.locate(window.globalise(page, offset)) == (page, offset)
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def test_document_slice_reconstructs_a_cross_page_span(two_page_book: Document) -> None:
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page_one = two_page_book.page(1).text
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start = page_one.index("Theorem 1.6.3")
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end = two_page_book.page(2).text.index("has a greatest")
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text = two_page_book.slice(1, start, 2, end)
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assert text.startswith("Theorem 1.6.3")
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assert text.rstrip().endswith("divisors of a and b")
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def test_normalisation_is_stable_and_gentle() -> None:
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text = "first line \nsecond"
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assert normalise_page_text(text) == "first line\nsecond"
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assert normalise_page_text(normalise_page_text(text)) == normalise_page_text(text)
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def test_page_checksum_changes_with_content() -> None:
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assert Page(1, "a").checksum != Page(1, "b").checksum
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assert Page(1, "a").checksum == Page(9, "a").checksum
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