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Author | SHA1 | Date |
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Leni Aniva | a51bf6f807 | |
Leni Aniva | 5d676154f1 | |
Leni Aniva | ce3af887be | |
Leni Aniva | af256123f3 |
13
README.md
13
README.md
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@ -7,6 +7,8 @@ A Machine-to-Machine interaction system for Lean 4.
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Pantograph provides interfaces to execute proofs, construct expressions, and
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examine the symbol list of a Lean project for machine learning.
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See [documentations](doc/) for design rationale and references.
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## Installation
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For Nix users, run
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@ -15,7 +17,9 @@ nix build .#{sharedLib,executable}
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```
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to build either the shared library or executable.
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Install `elan` and `lake`, and run
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Install `lake` and `lean` fixed to the version of the `lean-toolchain` file, and
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run
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``` sh
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lake build
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```
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@ -24,9 +28,12 @@ This builds the executable in `.lake/build/bin/pantograph-repl`.
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## Executable Usage
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``` sh
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pantograph MODULES|LEAN_OPTIONS
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pantograph-repl MODULES|LEAN_OPTIONS
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```
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The `pantograph-repl` executable must be run with a list of modules to import.
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It can also accept lean options of the form `--key=value` e.g. `--pp.raw=true`.
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The REPL loop accepts commands as single-line JSON inputs and outputs either an
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`Error:` (indicating malformed command) or a JSON return value indicating the
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result of a command execution. The command can be passed in one of two formats
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@ -37,8 +44,6 @@ command { ... }
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The list of available commands can be found in `Pantograph/Protocol.lean` and below. An
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empty command aborts the REPL.
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The `pantograph` executable must be run with a list of modules to import. It can
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also accept lean options of the form `--key=value` e.g. `--pp.raw=true`.
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Example: (~5k symbols)
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```
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184
doc/icon.svg
184
doc/icon.svg
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Before Width: | Height: | Size: 3.5 KiB After Width: | Height: | Size: 5.2 KiB |
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@ -0,0 +1,30 @@
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# Design Rationale
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A great problem in machine learning is to use ML agents to automatically prove
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mathematical theorems. This sort of proof necessarily involves *search*.
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Compatibility for search is the main reason for creating Pantograph. The Lean 4
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LSP interface is not conducive to search. Pantograph is designed with this in
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mind. It emphasizes the difference between 3 views of a proof:
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- **Presentation View**: The view of a written, polished proof. e.g. Mathlib and
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math papers are almost always written in this form.
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- **Search View**: The view of a proof exploration trajectory. This is not
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explicitly supported by Lean LSP.
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- **Kernel View**: The proof viewed as a set of metavariables.
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Pantograph enables proof agents to operate on the search view.
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## Name
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The name Pantograph is a pun. It means two things
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- A pantograph is an instrument for copying down writing. As an agent explores
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the vast proof search space, Pantograph records the current state to ensure
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the proof is sound.
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- A pantograph is also an equipment for an electric train. It supplies power to
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a locomotive. In comparison the (relatively) simple Pantograph software powers
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theorem proving projects.
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## References
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* [Pantograph Paper](https://arxiv.org/abs/2410.16429)
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