semvec/pypi-packages huggingface dataset:
flake8-vyper 0.1.10
Plugin for flake8 to support Vyper
License: MIT

# flake8-vyper

Flake8 wrapper to support Vyper.  This is experimental, so, beware.

## Install

    pip install flake8-vyper

## Usage

You can run flake8 with this wrapper with the command `flake8-vyper`.

## Configuration

You can use all the same CLI options as flake8, but config should be done in the `flake8-vyper`
section to prevent conflicts.  Here's an example `tox.ini` for a project with python and vyper:

    [flake8]
    exclude = .git,__pycache__,build
    max-line-length = 100
    filename = *.py

    [flake8-vyper]
    exclude = .git,__pycache__,build
    max-line-length = 100
    filename = *.vy
python-dime 0.3
DIME message processing
License: MIT

*python-dime* provides a way to parse and generate DIME messages.

`Direct Internet Message Encapsulation`_ (DIME) is a binary message format that
can be used to encapsulate multiple payloads into a single message.

.. _Direct Internet Message Encapsulation:
   http://xml.coverpages.org/draft-nielsen-dime-02.txt
fcd-torch 1.0.7
Fréchet ChemNet Distance on PyTorch
License: MIT

# Fréchet ChemNet Distance on PyTorch

[![Build Status](https://travis-ci.com/insilicomedicine/fcd_torch.svg?branch=master)](https://travis-ci.com/insilicomedicine/fcd_torch) [![PyPI version](https://badge.fury.io/py/fcd-torch.svg)](https://badge.fury.io/py/fcd-torch)

PyTorch implementation of [Fréchet ChemNet Distance](https://pubs.acs.org/doi/10.1021/acs.jcim.8b00234) ported from the original repository https://github.com/bioinf-jku/FCD. The ported model produces the same outputs as the original Keras implementation and can be used for reproducible research. The PyTorch model of ChemNet weights tenfold less, resulting in faster loading.


Other features:
* You can precalculate mean and sigma for further usage, useful if you use the statistics from the same dataset multiple times
* Supports calculation on GPU and selection of GPU device number
* Multithreaded SMILES parsing


## Installation
First, install [RDKit](https://www.rdkit.org/docs/Install.html): `conda install -yq -c rdkit rdkit` and then install `fcd_torch` from pip (`pip install fcd_torch`), or directly from the source:
```{bash}
git clone https://github.com/insilicomedicine/fcd_torch.git
cd fcd_torch
python setup.py install
```

## Usage

Import the module `from fcd_torch import FCD`. You can run calculation directly or precalculate statistics to reuse them on the test set (see example below). If you run FCD on GPU, the GPU memory will be allocated only during calculation of FCD.

```python
# Example 1:
    fcd = FCD(device='cuda:0', n_jobs=8)
    smiles_list1 = ['COc1cccc(NC(=O)Cc2coc3ccc(OC)cc23)c1', 'Cc1noc(C)c1CN(C)C(=O)Nc1cc(F)cc(F)c1']
    smiles_list2 = ['Oc1ccccc1-c1cccc2cnccc12', 'Cc1noc(C)c1CN(C)C(=O)Nc1cc(F)cc(F)c1']
    fcd(smiles_list1, smiles_list2)
```

```python
# Example 2:
    fcd = FCD(device='cuda:0', n_jobs=8)
    smiles_list1 = ['COc1cccc(NC(=O)Cc2coc3ccc(OC)cc23)c1', 'Cc1noc(C)c1CN(C)C(=O)Nc1cc(F)cc(F)c1']
    smiles_list2 = ['Oc1ccccc1-c1cccc2cnccc12', 'Cc1noc(C)c1CN(C)C(=O)Nc1cc(F)cc(F)c1']
    pgen = fcd.precalc(smiles_list2)
    fcd(smiles_list1, pgen=pgen)
```

For the constructor, you can pass the device as `device='cpu'` for CPU and `device='cuda:n'` for GPU, where `n` is the GPU device number. `n_jobs` parameter specifies the number of threads for parsing SMILES. You can also vary the `batch_size` parameter. Call parameters for FCD are `fcd(ref=None, gen=None, pref=None, pgen=None)`, where you should specify either `ref` (SMILES list), or `pref` (precalculated statistics), and the same for `gen` and `pgen`.
PySAP-SL 0.1.1
Automation tool for source list in SAP
License: MIT

# PySAP_SL

> Automation module for source list in SAP



This automation module has been created to ease the creation of automation script for source list in SAP.



It can perform creation, modification, deletion and extraction task for source list.



The module leverage SAP GUI Scripting API in order to perform action in SAP.



STILL IN DEV



## Installation



To be continued



## Usage example



To be continued



## Meta



Yacine BEKKA – [Linkedin](https://www.linkedin.com/in/yacine-bekka-519b79146) – yacinebekka@yahoo.fr



Distributed under MIT license. See ``LICENSE`` for more information.