TinyLean
Tiny theorem prover in Python, with syntax like Lean 4.
Tour
An identity function in TinyLean:
def id {T: Type} (a: T): T := a
example := id Type
Inductive data types:
inductive Maybe (A: Type) where
| Nothing
| Just (a: A)
open Maybe
inductive N where
| Z
| S (n: N)
open N
inductive Vec (A: Type) (n: N) where
| Nil (n := Z)
| Cons {m: N} (a: A) (v: Vec A m) (n := S m)
open Vec
The typechecker knows if any case is impossible (i.e. dependent pattern matching):
def v0: Vec N Z := Nil
example :=
match v0 with
| Nil => Z
/- Cons is impossible, leaving it here yields errors. -/
So a bottom type eliminator is trivial via DPM:
inductive Weird (n: N) where
| MkWeird (n := Z)
open Weird
/- Impossible to construct a term for type `Weird (S Z)`. -/
example {A: Type} (x: Weird (S Z)): A := nomatch x
License
MIT
Release files for TinyLean 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tinylean-0.7.0.tar.gz | 21.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tinylean-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.1 kB
Release files / tinylean-0.7.0.tar.gz
| Download URL | tinylean-0.7.0.tar.gz |
|---|---|
| Size | 21.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / tinylean-0.7.0-py3-none-any.whl
| Download URL | tinylean-0.7.0-py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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