semvec/pypi-packages huggingface dataset:
biosim-client 0.2.4
This is a library to access biosimulations.org APIs.
Requires Python: <4.0,>=3.10

# biosim-client

[![Release](https://img.shields.io/github/v/release/biosimulations/biosim-client)](https://img.shields.io/github/v/release/biosimulations/biosim-client)
[![Build status](https://img.shields.io/github/actions/workflow/status/biosimulations/biosim-client/main.yml?branch=main)](https://github.com/biosimulations/biosim-client/actions/workflows/main.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/biosimulations/biosim-client/branch/main/graph/badge.svg)](https://codecov.io/gh/biosimulations/biosim-client)
[![Commit activity](https://img.shields.io/github/commit-activity/m/biosimulations/biosim-client)](https://img.shields.io/github/commit-activity/m/biosimulations/biosim-client)
[![License](https://img.shields.io/github/license/biosimulations/biosim-client)](https://img.shields.io/github/license/biosimulations/biosim-client)

This is a library to access biosimulations.org APIs.

- **Github repository**: <https://github.com/biosimulations/biosim-client/>
- **Documentation** <https://biosimulations.github.io/biosim-client/>

## Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

```bash
git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:biosimulations/biosim-client.git
git push -u origin main
```

Finally, install the environment and the pre-commit hooks with

```bash
make install
```

You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPI or Artifactory, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/codecov/).

## Releasing a new version

- Create an API Token on [PyPI](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/biosimulations/biosim-client/settings/secrets/actions/new).
- Create a [new release](https://github.com/biosimulations/biosim-client/releases/new) on Github.
- Create a new tag in the form `*.*.*`.
- For more details, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/cicd/#how-to-trigger-a-release).

---

Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).
wformat 0.1.6
Opinionated code formatter for C++ code.
Requires Python: >=3.8

# WFormat

Opinionated code formatter for C++ code.

## Availability

limit: only support Format Document in IDEs for now

### Visual Studio Code

- [x] win-x64
- [ ] win-arm64
- [x] macos
- [x] linux-64
- [ ] linux-arm64

### Visual Studio

- [x] win-x64
- [ ] win-arm64

### XCode

- [ ] macos

### Python Package Index(PyPI)

- [x] win-x64
- [ ] win-arm64
- [x] macos
- [ ] linux-64
- [ ] linux-arm64

## Tutorials

### Installation

#### Use Visual Studio Code Extension

Install ```wformat``` from extension market.

In any C++ file, Press ```ctrl + alt + P``` to bring up the command menu.

Type ```Format Document With...``` select ```Config Default Formatter...``` pick ```wformat```.

Next time you call ```Format Document```, vscode will use ```wformat```.

#### Use Visual Studio Extension

Install ```wformat``` from extension market.

By default, you can only click ```Run WFormat``` in your Right Click Menu to format on the file.

You can find ```wformat.General```(or search ```wformat```) in ```Tools > Options``` menu.

By change ```Override default formatter``` to ```True```, you can use Format Document(```ctrl + K```, ```ctrl + D```) with wformat instead.

#### Use as console app from Python Package Index (PyPI)

Run ```pip install wformat```, then you can use ```wformat``` in your console.

### Usage

Run ```wformat -v``` to check your current version.

Run ```wformat``` or ```wformat -h``` to get the usage help doc.
Find developer friendly use examples under the ```tutorials:``` section.
apkshadow 0.1.6
Android APK automation tool for bug bounty

# apkshadow

Android APK automation tool for bug bounty research.  
This initial version supports:
- Listing APKs from a connected device
- Pulling APKs with adb
- Decompiling APKs with jadx
- Basic mapping for attack surface by listing exported components

## Install
Install locally using pip:
```bash
pip install apkshadow
BayesBoom 0.1.34
Tools for Bayesian modeling.

Boom stands for 'Bayesian object oriented modeling'.
    It is also the sound your computer makes when it crashes.

    The main part of the Boom library is formulated in terms of abstractions
    for Model, Data, Params, and PosteriorSampler.  A Model is primarily an
    environment where parameters can be learned from data.  The primary
    learning method is Markov chain Monte Carlo, with custom samplers defined
    for specific models.

    The archetypal Boom program looks something like this:

    import BayesBoom as Boom

    some_data = 3 * np.random.randn(100) + 7
    model = Boom.GaussianModel()
    model.set_data(some_data)
    precision_prior = Boom.GammaModel(0.5, 1.5)
    mean_prior = Boom.GaussianModel(0, 10**2)
    poseterior_sampler = Boom.GaussianSemiconjugateSampler(
        model, mean_prior, precision_prior)
    model.set_method(poseterior_sampler)
    niter = 100
    mean_draws = np.zeros(niter)
    sd_draws = np.zeros(niter)
    for i in range(100):
        model.sample_posterior()
        mean_draws[i] = model.mu()
        sd_draws[i] = model.sigma()