semvec/pypi-packages huggingface dataset:
ios-debug 0.1.6
Debug mode manager for iOS.
License: MIT

[![tomnvt](https://circleci.com/gh/tomnvt/ios-debug.svg?style=shield&circle-token=ac247565d93c63e3e695882be5a5a3563c1553c5)](https://circleci.com/gh/tomnvt/ios-debug.svg?style=shield&circle-token=ac247565d93c63e3e695882be5a5a3563c1553c5)

# ios-debug

`ios-debug` is a tool for creating and managing mock implementation. It currently creates a mock implementation for each repository protocol within an iOS project.

## THREE THINGS...

...that the app is expected to have:

- there are repository protocols conforming to `...Repository` naming convention
- there is a single `rootViewController` assigned (doesn't matter in which file)
- there is a `ContainerBuilder.swift` file with `registerRepositoryLayer` function


## INSTALLATION

If you have some version of `pip`, either `pip install ios-debug` or `pip3 install ios-debug` should do the job.


## USAGE

There is a simple console UI that show when `ios-debug` is called. Names of the shown options should be pretty self-explanatory :-)

Each command can be also called by passing it as an argument to `ios-debug`, e.g. `ios-debug start` or `ios-debug stop`.


## WHEN IT STARTS

When the debug mode is starting, the following happens:

1. Swift files are gathered and read
2. Repository protocols are found
3. Protocols are parsed and function declarations are extracted
4. Repository mock implementation template is processed so there is a mock implementation for each protocol function for each repository. Also, `Container` registration are generated, overriding the origin registration.
5. Registration functions are added to `registerRepositoryLayer` function in `ContainerBuilder`.
6. `MockManager` and `ShakeableNavigationController` are generated.
    - `MockManager` enables user to choose different mock function implementations at runtime.
    - `ShakeableNavigationController` is used as `rootViewController`. It responds to shake gesterus by showing the `MockManager`.
7. `rootViewController` is reassigned to `ShakeableNavigationController`.
8. A Run Script build phase is added in order to sync* mock function variants and protocol functions during build.


## WHEN IT STOPS

When the debug mode is stopping, the following happens:
1. Swift files are gathered and read.
1. All mock repositories are gathered and saved to a binary file.
2. Calls to registration function are removed from `ContainerBuilder`.
3. `MockManager` and `ShakeableNavigationController` are removed and `ShakeableNavigationController` is unassigned as `rootViewController`.
4. The Run Script build phase is removed from the project.

*Syncing is basically just turning the debog mode off and on again. The whole process is designed to be a function of the code's state, so there are minimal side effect expectation during the processing.
extaxsi 0.3.9
Extaxsi is a bioinformatic library aimed to elaborate and visualize molecular and taxonomic informations
License: MIT
Keywords: bioinformatic,ncbi,molecular data,visualization,taxonomy,converter

ExTaxsI functions 


Library overview 


ExTaxsI functions can be used separately from the ExTaxsI tool. In general, there are 6 main functions for the following tasks: 



*   load_configurations() - **mandatory before using ExTaxsi functions** - setting NCBI API key to allow data query 

*   db_creation() - create FASTA, accession with taxonomy or enriched database 

*   taxonomyID_converter() - convert taxid into organism taxonomy and viceversa 

*   sunburst_plot() - create sunburst plot 

*   scatterplot() - create scatterplot 

*   worldmap_plot() - create worldmap plot 


In the [github](https://github.com/qLSLab/ExTaxsI/blob/master/library/functions_installation_and_tutorial.ipynb) notebook installation and tutorials for configuration and usage are provided. 

Input files used are available in the **examples** directory. 


			For any doubt, please write to g.agostinetto@campus.unimib.it
reggy 0.2.0
Python package for regularized regressions.
License: MIT
Requires Python: >=3.9.0,<3.10.0

# reggy

[![PyPI](https://img.shields.io/pypi/v/reggy.svg?style=flat)](https://pypi.python.org/pypi/reggy)
[![Tests](https://github.com/kpj/reggy/workflows/Tests/badge.svg)](https://github.com/kpj/reggy/actions)

Python package for regularized regressions.

Supported regularization terms:
* Ridge
* LASSO
* Network-fusion penalty (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030897/)


## Installation

```bash
$ pip install reggy
```


## Usage

A simple example with LASSO regularization:
```python
import reggy
import numpy as np


alpha = 0.3
beta = 1.7

X = np.random.normal(size=(100, 1))
y = np.random.normal(X * beta + alpha, size=(100, 1))

model = reggy.RegReg(X, y, family=reggy.gaussian_family, regularizers=[(0.5, reggy.lasso)])
model.fit()

print(model.intercept_, model.coef_)
## [[0.22491232]] [[0.9219889]]
```