Skip to main content

No project description provided

Project description

pyrevm

Blazing-fast Python bindings to revm

py rust

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 EVM, Env, BlockEnv

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.message_call(
    caller=address,
    to=address2,
    value=10000
    # data
)

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

Tracing

There is also support for tracing:

from pyrevm import EVM

EVM(tracing=True)

Transactions

There is support for checkpoints:

from pyrevm import EVM

evm = EVM()
checkpoint = evm.snapshot()
evm.message_call(
    caller=...,
    to=...,
    value=...,
)
evm.revert(checkpoint)  # or: evm.commit() to clear all checkpoints

Note: in contrast to the Rust library, the Python library does not automatically commit to database.

See more usage examples in the pytests.

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 make build. To run the tests, run make test.

Note: If building for production, use make build-prod, else performance will be degraded.

To release to pypi, create a new github release. This will run the .github/workflows/release.yml action and publish source+binary wheels to pypi.

Benchmarks

TODO

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrevm-0.3.3.tar.gz (55.6 kB view details)

Uploaded Source

Built Distributions

pyrevm-0.3.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyrevm-0.3.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyrevm-0.3.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyrevm-0.3.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyrevm-0.3.3-cp312-none-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.12 Windows x86-64

pyrevm-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

pyrevm-0.3.3-cp312-cp312-macosx_11_0_arm64.whl (4.0 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pyrevm-0.3.3-cp312-cp312-macosx_10_12_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pyrevm-0.3.3-cp311-none-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.11 Windows x86-64

pyrevm-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

pyrevm-0.3.3-cp311-cp311-macosx_11_0_arm64.whl (4.0 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pyrevm-0.3.3-cp311-cp311-macosx_10_12_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pyrevm-0.3.3-cp310-none-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

pyrevm-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

pyrevm-0.3.3-cp310-cp310-macosx_11_0_arm64.whl (4.0 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyrevm-0.3.3-cp310-cp310-macosx_10_12_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pyrevm-0.3.3-cp39-none-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

pyrevm-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

pyrevm-0.3.3-cp38-none-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

pyrevm-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

pyrevm-0.3.3-cp37-none-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.7 Windows x86-64

pyrevm-0.3.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

pyrevm-0.3.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (6.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

File details

Details for the file pyrevm-0.3.3.tar.gz.

File metadata

  • Download URL: pyrevm-0.3.3.tar.gz
  • Upload date:
  • Size: 55.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for pyrevm-0.3.3.tar.gz
Algorithm Hash digest
SHA256 cd2686a08c51872c0f1f615b9cbedb92d5fe28a7709226b40ced54dfff81cb3f
MD5 ea35b06ccae6521eebca1dafeb9d2dad
BLAKE2b-256 97364065d382d27152d4250cd4ec3871ca8271f1c181c686e01c80e0a2495046

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9661740a03b0cb6ad57f5dce3272e940181c431686650cedc7c957f8e908923f
MD5 44b52c3d8dc880b8b4bdb15a06959f8c
BLAKE2b-256 5c5ba32d57f1629528c786b6586008ae1799bbbdb9d313de2fe5e0a74e8a2406

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 43bfe5954f8af2e3e53615c06930aba76e128581bcb53ce99421e8255d3d7886
MD5 0e32825a43452fd14a8ba9a7b5f44c53
BLAKE2b-256 65839ac5ab9efc3243d256bf72e191539fd12ea228ea5ef73864a9bdbbded024

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 108ad8dc1f41302a64bc870faeadd3405056c93b09953584cdde6eba51b918a3
MD5 877f79ffb19db3577093f083a606ca6c
BLAKE2b-256 a60eadab22bf54d429f03461b4a71bbf07d42ee1dc28b863db42d006bcaee3f4

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9dcb27a4aa69cca3cfe7334785f6477b4dde0286827db880ab48a147838ad12c
MD5 78b737696442a9df5e4515568099cc42
BLAKE2b-256 ae24ef77afeab806368665c4b06ac4946b0892f73ef26e53219dd01fed261b5a

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 67dc61d584622dd877531c503adf3de6be4b1748baec052df9f9b33e61643c69
MD5 2ad4d112f40b471517b324e1a9124b36
BLAKE2b-256 0193a53240f603fd758a4aeb10053e457d34fb014b67256ff3ca8cf1d59e68e2

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4c2ce24313f42de56059e588cd8124a11c3dcf700a08e886fd41b5d112d02d6a
MD5 efda4bcfd011d97cdfdc8ee61dc75b59
BLAKE2b-256 83d277735b992cfa295292d7e14ed48b7990403f5b80af49fbfdafbacadd7503

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fd67c520f18a85fac8b245c53021b161203e521bb4149ec73d46fadd53969098
MD5 f14e2509dcf2243d073d4f9de4bca8eb
BLAKE2b-256 438e02e70d12e08d6d1f7c4be31ed05a1be537a92c8291ee10d2d3ea6e3091fb

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1a14d6c1f9a527eb34551057074977d76fe13682fa6a5236f521a4bb5b3bd87d
MD5 b887f736b1549d7d26d68a97ef421b79
BLAKE2b-256 e62765a281698f7a6c637b0644f37358ff946d01a45369f7a22165fb3c071d91

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 405d3c63872b59cb82b699000ad2fdff185bc25b91c4f8a6c06bc6a35afcd0c9
MD5 d267415994e2fbd683c737b94598c767
BLAKE2b-256 955fb8e948af81fe4024377959cf10726c848044b5a9c2b99b549d3ce6b2b166

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 40f982b736d44c2ba0ecbf60d31895062db7a51fd4f8f7a16fc24062c4980b3a
MD5 7446f4cf16eb5e248cb8cfffda0da7a3
BLAKE2b-256 eb41d887ddc8721ca58aa873fdad654a7a7813fdd665cdf41023eb83ca7f53b5

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a738adcc0d567b5cc4e6e4a8378b4d894125240c84516cf7bfd779cad597ed5c
MD5 34efa52ab15561acd7dc2926a81b4541
BLAKE2b-256 f474a5894433e7b59bce65b3a0f344a29c017ddf8310cefa54122f6015eb68c3

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ac341771699dc5652ae7d5ffb151fcdc80181c03197eed7b0282422a922f73e2
MD5 3eb3dc3bca6add8a082059626bf8e808
BLAKE2b-256 40ccb9c7eaadeaf3cd53430e016285419036a3149e59ccc9d4ed2b2e64ee2b5a

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ec688b37dfc39a85a0a6f7709ee434b72e4e9c9f0bc7a525cd583dd5b7b97529
MD5 f65fcfee38e41f8615874fa751ee8535
BLAKE2b-256 3b93f57edb9a4df280e0e269a8599b479c45c9244a9ed876baa1a172f2b5ee54

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 a0565c1cbd3b9ed55664217e9d1af981e1ec6a96fb5fe3f1c80c7da35038d2a3
MD5 6bc008a328b9421bd8bb6f658ab4aa29
BLAKE2b-256 de146407e1a3c525f69a0edfdc4d33eca25185db0586a0152434ef36e194581e

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d0d18c286f579b1b60ee9111d887a832de213313424751c94ea61d70c18bc03a
MD5 cad470200ceef220d52b97fe657012f4
BLAKE2b-256 2f2418629eaa751e6d113e26de5be3c8d87d1f0362df189870446a8328b82771

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 950a07c64b3428f5b761c273589d12ea1a22419d41729e14a1059afff317105a
MD5 3956592b0c6d0be199471386c523249e
BLAKE2b-256 7bf3cd339a81c404ccfb10c79ddd2a5b76f780ddaa5d7b1e44dda9b8643fc570

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9c97ddbfc3c5a408ff24df7014f4cd87dcc7eb2e1d697cefe53aa6be4ba86067
MD5 26dd03d6679d0beea4c2bd7fe53363f6
BLAKE2b-256 b93a1eca64ffaed19040e797da12acf3eac51ca87f3f46b6a0c2c029b4150126

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 c6f48cd9c9728d236eaf963746b38218cb346e5049c04a9d1fda59f17018e28f
MD5 6a6f0ad2277dc1929f985167fd5011ae
BLAKE2b-256 d66ec9730301f27df3755a9bc7054feab6f26f71d24e3703f3cd9e08712d1b66

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 07d40e08928a287f19abcd19f86e48ef7994e844449fd4a27dbe444690ddb4b7
MD5 c28d998c090aab05296cef8e425b66e5
BLAKE2b-256 ec20bd004d93837b165d6e2854b12a1d19edb25dd659c359ee17784039f704c3

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 df35ac89ec7cbf1b7203a30776d51a76a2a4f5390b24f8558da400b75037daad
MD5 38ffa84e1e33aeda6d957bd6496af49a
BLAKE2b-256 05e3745d52384969a0c59adb85476db044456d5b0142e93e5b6ca67c41d12314

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e55ecec995c5831bddbd46add07f1478eb2ea6211fed5bdbed1e7ad80ed4a8c7
MD5 5a2b990798e2dbd6f2a44db5cb0b15ac
BLAKE2b-256 78104d8318d598ca43cf95ce1903fabbe84430cc63f957b5b422691231f5d316

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 72396324a7fff824339d175fa16113fe670626eece50c7a665d8152d0c81e408
MD5 eed2fa03b9ec35536ff935692881a8c1
BLAKE2b-256 9df3881cd32a9008fb5b2f1530d732be69479133ce00e0775dc1310860dbbb58

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b9520ca226830f4d3100c58251e0af2ab12853a88e8d64dfd2d9fcbbee5963d8
MD5 09a853b395f627370a7dda51300d0fd8
BLAKE2b-256 b5340f1d877ddea671d9abe193a6f24eabe680c7da08c38142a9d0aef9f7b714

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pyrevm-0.3.3-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for pyrevm-0.3.3-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 a86918316cad702fdbacbde02cc1e929dbd577aff02d1f125af7056b00c965df
MD5 71dc53e0e087e8ffb914f4c93f2a19fd
BLAKE2b-256 b66e0a969ef5739aea0057f00c7683689469564f91f0803b7193dd1481f5b67a

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 08013d4c29575195e0cebbfa33d88b783df034376fea9ceb71d2cfffe964a5b6
MD5 6b72d76064c5ab5753c4e08dd80320c8
BLAKE2b-256 c482a013d8ed68e7c5509a18a9ce178146b794f2495b1c9c96eec940cd5467ce

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2f5cf30a97002bbf3d9abe41bf247f6dd0414ae64a735771995cfcedbf027fdc
MD5 1c554b81cee14702309952e44cc02fbb
BLAKE2b-256 79039612317122ce69fd267e8288ddc852b98cf5845619097e6656d92daa5e2e

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pyrevm-0.3.3-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for pyrevm-0.3.3-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 a4adc108ef1474be58a286f98749085ebcdce57974ef51b18ff1c243e3360af2
MD5 bb5686d19194378ff410ee9bcf3966ee
BLAKE2b-256 181c78e89662d6fd079986cea347887ee95667767ddea1bce8abe9a2b34a3493

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 93e88e84c0ef4d6b023102fa1568ebf46ed279c7bd98c4ff4fed1820f4c42406
MD5 34df3c6bc4603e3505de53d72ec04ea7
BLAKE2b-256 9430a688a47923c3b4a967d030fa073e90fa032d8150dcce812ad48e71072591

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2f07a98d69d2161bdc889960d2c28c4b65d80a0fd0126aef373d431306555044
MD5 194f6a48ab6e3eb6e69e410a76796ada
BLAKE2b-256 5cbc605785ec3fde299ae3f847936611b3283be525b801731eac2a7e6f7df67d

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp37-none-win_amd64.whl.

File metadata

  • Download URL: pyrevm-0.3.3-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for pyrevm-0.3.3-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 2d24be778326393adffe7adb588e3129ec66eb9acbaf126795550529ec5307ca
MD5 de47e613bb58c0ce3e6ec413ff3a156e
BLAKE2b-256 2327dbf5b5a05ecb355e2685578bf2ce04f90af373accbec2e22136a97e1179a

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 11bc780947f176cfc7de8d463f80c271b73302c438cf280964ee8210c8a98115
MD5 b3e5af35753aa91b421bb52abed40818
BLAKE2b-256 f56de824c8278179615e38e4c35a335537a10a2dae3534add19bdc00c2362014

See more details on using hashes here.

File details

Details for the file pyrevm-0.3.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyrevm-0.3.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b4dedd627fc0198ef0fc82f43ba953e92480fbf6e23b6a99bcc93da289447114
MD5 95220b698dadbc6960b8f6db2c8082e4
BLAKE2b-256 f078460affdae752ff659aab8c250b439ada8e358241c74f9e587cd0b55613fa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page