pyrevm Blazing-fast Python bindings to revm

Georgios Konstantopoulos

Last update: Apr 14, 2023

Related tags

Command-line pyrevm

Overview

pyrevm

Blazing-fast Python bindings to revm

Quickstart

make install
make test

Example Usage

Here we show how you can fork from Ethereum mainnet and simulate a transaction from vitalik.eth.

from pyrevm import *

address = "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045" # vitalik.eth
address2 = "0xBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB"

fork_url = "https://mainnet.infura.io/v3/c60b0bb42f8a4c6481ecd229eddaca27"

# set up an evm
evm = EVM(
    # can fork from a remote node
    fork_url=fork_url, 
    # can set tracing to true/false
    tracing = True, 
    # can configure the environment
    env = Env(
        block = BlockEnv( timestamp = 100
    ))
);

vb_before = evm.basic(address)
assert vb_before != 0

# Execute the tx
evm.call_raw_committing(
    caller = address,
    to = address2,
    value = 10000
    # data
);

assert vb_before != evm.basic(address)
assert evm.basic(address2).balance == 10000

Develop

We use Poetry for virtual environment management and Maturin as our Rust <> Python FFI build system. The Rust bindings are auto-generated from the macros provided by PyO3.

To build the library, run poetry run maturin develop

Note: If building for production, do not forget the --release flag, else performance will be degraded.

Benchmarks

TODO

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Comments

Add `snailtracer` benchmark

Note: this PR includes #1 cuz it made it easier

Did some benchmarking using snailtracer -- results are pretty good IMO:

~50ms using revm, ~113ms using pyrevm, eh not bad. I expected it to be a bit closer, but I imagine a good portion of this is Python FFI overhead. Haven't dug into it too much.

This isn't a perfect apples-to-apples comparison, the revm benchmark modifies the transaction context before starting the benchmark, this benchmark constructions the environment during the benchmark. With a little more effort we could probably remove any additional overhead due to that, but I don't think it's that big of a deal.

Baseline results using the snailtracer benchmark from revm:

Hello, world!
elapsed: 49.963531ms
0: 63.562866ms
1: 61.138572ms
2: 55.771676ms
3: 49.228193ms
4: 49.100465ms
5: 48.995046ms
6: 48.847959ms
7: 48.743462ms
8: 48.731132ms
9: 48.718941ms
10: 48.71229ms
11: 48.696701ms
12: 48.694723ms
13: 48.671922ms
14: 48.65721ms
15: 48.611618ms
16: 48.610157ms
17: 48.547279ms
18: 48.50588ms
19: 48.456446ms
20: 48.451354ms
21: 48.449931ms
22: 48.373144ms
23: 48.316536ms
24: 48.315507ms
end!

Results from this benchmark:

         21 function calls in 1.135 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
       10    0.000    0.000    1.135    0.113 /home/ziyadedher/code/eth/pyrevm/bench/snailtracer/snailtracer.py:39(bench)
       10    1.135    0.113    1.135    0.113 {method 'call_raw' of 'builtins.EVM' objects}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}

opened by ziyadedher 9

Introduce Python type stubs for the bindings

I wish PyO3 had automatic type stub generation but alas, not quite yet: https://github.com/PyO3/pyo3/issues/2454

This PR introduces some manually-written types. Gonna need to keep types manually up to date if the underlying Rust changes, though, which might be annoying.

Maturin should automatically pick up the type bindings at build time: https://maturin.rs/project_layout.html#adding-python-type-information

opened by ziyadedher 0

Owner

Georgios Konstantopoulos

cto & research partner at paradigm.xyz. mev, layer 2, proof of stake, zkps. we're hiring engineers internally & for the portfolio: georgios at paradigm dot xyz

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