semvec/pypi-packages huggingface dataset:
panoramix-decompiler-x 0.4
Decompiler at the heart of Eveem.org https://www.eveem.org/
License: MIT
Requires Python: >3.8.0
Keywords: ethereum evm decompiler Eveem.org

Panoramix
=========

This is an EVM decompiler.

It's is a fork of the Panoramix original repo that's not maintained actively by its author anymore: https://github.com/eveem-org/panoramix.git

The goal of this fork is to maintain Panoramix in a decent shape, fix some crashes, implement missing opcodes...
I also got rid of the "tilde" syntax that was using a custom python encoding and use vanilla Python instead. And I made it a proper python package that can be imported.
There is also a better support of timeouts, as instead of stopping entirely we will fallback and print whatever we decompiled even if it's not complete.

The code quality is still not great and the software is complex, it's mostly reserved for advanced users.

## Installation

```console
$ pip install panoramix-decompiler
```

## Running

You can specify a web3 provider using the environment variable `WEB3_PROVIDER_URI`. In this case a local provider was set.

```console
$ WEB3_PROVIDER_URI=http://localhost:7545 panoramix 0x0d94D81FD712126E7f320b5B10537D01d6a01563
```

You can also provide the bytecode for decompilation.

```console
$ panoramix 6004600d60003960046000f30011223344
```

## Examples

I have decompiled all of mainnet, and make sure to decompile again on the latest Panoramix version from time to time.

You can access decompilations using Oko: https://oko.palkeo.com/

Here is an example for cryptokitties: https://oko.palkeo.com/0x06012c8cf97BEaD5deAe237070F9587f8E7A266d/code/
apatterson189-google-api-helpers 0.1.5
LIbrary of helpers for using google apis
License: MIT
Requires Python: >=3.6

# google_api_helpers
Python helpers for using google apis

# install
pip install apatterson189-google-api-helpers

# Setup
1) Create a GCP project
2) Create a set of credentials
3) download the credentials (as credentials.json for example)

The first step of using these tools should be to provide the credentials of the GCP project that will be used to access the data, via "google_api_helpers.auth.setStoredCredentialsLocation".

# usage 
import google_api_helpers

# Build
python3 setup.py sdist bdist_wheel

# Upload
python3 -m twine upload dist/*

# Test
python setup.py pytest

# Notes
* IMPORTANT: Run tests only with accounts for which important data is not stored in drive. The data may be lost.
* based on https://packaging.python.org/tutorials/packaging-projects/ and https://medium.com/analytics-vidhya/how-to-create-a-python-library-7d5aea80cc3f