semvec/pypi-packages huggingface dataset:
borre 0.1.5
Borre is a dead simple Frakle Dice game maker
License: MIT
Requires Python: >=3.7
Keywords: dice game,game maker,Farkle

# Borre

> Borre is a dead simple Farkle 🎲 dice game implementation and game maker made using Python for a School project.

[![PyPi version][pypi-badge]][pypi-url]
[![Tests][tests-badge]][tests-url]

Game rules are simple, you usually have five dices with six sides, you roll the set of dices, and check if you score bonus or regular standard points.

## Requirements

This package supports the following minimum versions:

* Python >= 3.7

If you have Python installed, just skip to Usage, otherwise [install Python][python-url].

> Earlier versions may still work, but we encourage people building new applications
to upgrade to the current stable.

## Usage

First, you will need to install the **borre** package localy

```shell
pip install borre
```

To quickly start, with a simple Dice

```python
import borre

dice = borre.Dice()

# Rolls the dice once
print(dice.roll())
```

Or create a multiple players

```python
import borre

bob = borre.Player("Bob")
alice = borre.Player("Alice")

# Bob plays with 6 Dices
bob.play(borre.Dice(), 6)

# Alice plays with only 2 Dices
alice.play(borre.Dice(), 2)
```

> If you have any difficulties, you might as well check the examples in `examples` folder.

## Getting help

If you have a question about the library, or are having difficulty using it,
chat with the community in [GitHub Discussions](/discussions)..

## Contributing

Everyone is welcome to make this package better feel free to submit your pull request/feature request.

<!-- Markdown links & img dfn's -->
[tests-url]: https://img.shields.io/github/workflow/status/idbakkasse/borre/tests
[tests-badge]: https://img.shields.io/github/workflow/status/idbakkasse/borre/Tests?label=Tests&logo=github&style=flat-square

[coverage-url]: https://codecov.io/gh/idbakkasse/borre
[coverage-badge]: https://img.shields.io/codecov/c/github/idbakkasse/borre?style=flat-square

[pypi-badge]: https://img.shields.io/pypi/v/borre?color=blue&label=pypi%20package&style=flat-square
[pypi-url]: https://pypi.org/project/borre

[python-url]: https://www.python.org
magoplotlib 0.0.2
Attentive External Library of matplotlib
License: MIT

# magoplotlib

Attentive External Library of [matplotlib](https://matplotlib.org/stable/index.html)

## Features

- plotting timestamp on a Figure.

![timestamp example](images/add_timestamp.png)

- plotting message on an Axes.

![message example](images/add_message.png)

## Requirements

- matplotlib

## Installation

```
pip install magoplotlib
```

## Usage

```python
from magoplotlib import add_timestamp

add_timestamp(fig)
```
gtf2seq 0.1.0
Extract genomic sequences and visualize the genomic features in word document
License: MIT

# gtf2seq

__Motivation__: Although tools like snpEFF have been developed for annotating and predicting the effects of variants, there is a lack of tools to show the variants in gene sequences. In order to enable research-ers to easily extract sequences from GFF files with annotations of genomic features, we developped gff2seq to fill this gap. 

Results: Gff2seq, an open-source toolkit, can extract genomic sequences and visualize the genomic features in word document. 


## Installation

### Install using pip (recommended)

```
pip install gtf2seq
```

### Install yourself

```
git clone https://github.com/caoliru/gff2seq.git
pip3 install pyfaidx==0.5.9.5
pip3 install pysam==0.16.0.1
pip3 install python-docx==0.8.10
pip3 install PyVCF==0.6.8
```

## Usage

```
usage: gtf2seq.py [-h] -g GTF -f FASTA -t TRANSCRIPTID_LIST [--vcf VCF]
                  [--sample SAMPLE] [--exclude_intron] [-o OUTPUT]

optional arguments:
  -h, --help            show this help message and exit
  -g GTF, --gtf GTF     Genome annotation file in GTF format
  -f FASTA, --fasta FASTA
                        Genome sequences in FASTA format
  -t TRANSCRIPTID_LIST, --transcriptid_list TRANSCRIPTID_LIST
                        List of transcript IDs
  --vcf VCF             VCF files with snpEff annotation.
  --sample SAMPLE       Sample/individual ID if you want to output genotypes in the sequence for a                                               specific sample/individual.
  --exclude_intron      Exclude intron sequences in the output
  -o OUTPUT, --output OUTPUT
                        Output file in Word format
```

## Example using test data

```
gtf2seq.py -g test/test.gtf -f test/Zea_mays.B73_RefGen_v4.part.fa -t test/target_transcript_id.txt --vcf test/Mo17_snp.snpEff.part.vcf.gz --sample Zea_mays_Mo17 -o test.docx

```

![](images/example_img.png)