semvec/pypi-packages huggingface dataset:
latex-dirtree-gen 0.4.1
Generate dirtrees for LaTeX
License: MIT
Requires Python: >=3.6.1
Keywords: latex,dirtree

# latex-dirtree-gen

LaTeX `dirtree` generator, inspired by the Perl version [latex-dirtree-generator](https://github.com/d-koppenhagen/latex-dirtree-generator) by [Danny Koppenhagen](https://github.com/d-koppenhagen).

In order to use output of this program in your LaTeX document, make sure you've included the [`dirtree` package](http://tug.ctan.org/macros/generic/dirtree/dirtree.pdf):

```latex
\usepackage{dirtree}
```


## Usage

```
usage: latex-dirtree-gen [args] directory

positional arguments:
  directory            project root

optional arguments:
  -h, --help           show this help message and exit
  -v, --version        show program's version number and exit
  -H/--include-hidden  show files and directories starting with "."
                       (default: False)
  -i/--ignore IGNORE   comma separated list of directories and files to be ignored
                       (default: )
  -d/--depth DEPTH     how many directories should the program descend
                       (default: 5)
  --color              in stdout, draw directories in red (with no effect on generated LaTeX code)
                       (default: False)
  --dots               draw "\dots" inside folders at depth limit
                       (default: False)
```


## Examples

Let's assume the following file structure:

```
. (project root)
+- .git
|  '- (git files and directories)
+- pdf
|  '- cover.pdf
+- text
|  +- 01-introduction.tex
|  +- 02-content.tex
|  +- 03-literature.tex
|  '- 99-other.tex
+- .gitignore
+- main.pdf
+- main.tex
'- README.md
```

With default settings, the program will output:

```
$ latex-dirtree-gen .
\dirtree{%
 .1 .
 .2 pdf.
 .3 cover.pdf.
 .2 text.
 .3 01-introduction.tex.
 .3 02-content.tex.
 .3 03-literature.tex.
 .3 99-other.tex.
 .2 main.tex.
 .2 main.pdf.
 .2 README.md.
}
```

Following command will display shallow list with the depth of one. Directories at depth limit will have `\dots` inside them. The argument `--color` has no effect on the LaTeX output and only draws directories in red in the stdout, for easier orientation in the output (and cannot be shown here because of markdown limitations).

```
$ latex-dirtree-gen -d 1 --dots --color .
\dirtree{%
 .1 .
 .2 pdf.
 .3 \dots.
 .2 text.
 .3 \dots.
 .2 main.tex.
 .2 main.pdf.
 .2 README.md.
}
```

You can show the `.git` directory and `.gitignore` file, but hide the `pdf` directory:

```
$ latex-dirtree-gen -H --ignore pdf -d 1 .
\dirtree{%
 .1 .
 .2 .git.
 .3 \dots.
 .2 text.
 .3 \dots.
 .2 .gitignore.
 .2 main.tex.
 .2 main.pdf.
 .2 README.md.
}
```


## Contributing

If you find an error or have an improvement idea, [file an issue](https://gitlab.com/matyashorky/latex-dirtree-gen/-/issues)!
SeisNN 0.5.0.dev0
Deep learning seismic phase picking project
License: MIT
Requires Python: >=3.6

# SeisNN ![Version](http://img.shields.io/:Version-0.5.0dev-darkgreen.svg?style=flat-square) [![License](http://img.shields.io/:License-mit-red.svg?style=flat-square)](http://badges.mit-license.org)

 ![Notebook](http://img.shields.io/:Notebook-build.20200806-orange.svg?style=flat-square) ![Docker](http://img.shields.io/:Docker-build.20210222-blue.svg?style=flat-square)

Docs build: [![CircleCI](https://circleci.com/gh/SeisNN/SeisNN/tree/master.svg?style=svg)](https://circleci.com/gh/SeisNN/SeisNN/tree/master) [![Docker Build](https://github.com/SeisNN/SeisNN/workflows/Docker%20Image/badge.svg)](https://github.com/SeisNN/SeisNN/actions?query=workflow%3A%22Docker+Image%22) 

Github Pages: https://seisnn.github.io/SeisNN/

Deep learning seismic phase picking framework with SEISAN

![workflow](workflow.png)

![example](example.png)

---

# Warning

The code is still in the development state, API will change frequently. 

Beta version will be released soon.

Please star us for upcoming updates!

---

Prerequisite:

- S-File catalog from [SEISAN](http://seisan.info/)
- SeisComP Data Structure (SDS) database. The directory and file layout of SDS is defined as:

      SDSROOT/YEAR/NET/STA/CHAN.TYPE/NET.STA.LOC.CHAN.TYPE.YEAR.DAY

Installation:

- Follow the instructions in the [Docker](docker) folder to create a Docker container.

---

Reference:
 
 [EQTansfomer](https://www.nature.com/articles/s41467-020-17591-w) | [Github](https://github.com/smousavi05/EQTransformer)

 Mousavi, S. M., Ellsworth, W. L., Zhu, W., Chuang, L. Y., & Beroza, G. C. (2020). Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nature communications, 11(1), 1-12.

 [PhaseNet](https://doi.org/10.1093/gji/ggy423) | [Github](https://github.com/wayneweiqiang/PhaseNet)

 Zhu, W., & Beroza, G. C. (2018). PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method. arXiv preprint arXiv:1803.03211.

 [U-net](https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/)

 Ronneberger, O., Fischer, P., & Brox, T. (2015, October). U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention (pp. 234-241). Springer, Cham.

 [U-net ++](https://doi.org/10.1007/978-3-030-00889-5_1) | [Github](https://github.com/MrGiovanni/UNetPlusPlus)

 Zhou, Z., Siddiquee, M. M. R., Tajbakhsh, N., & Liang, J. (2018). Unet++: A nested u-net architecture for medical image segmentation. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (pp. 3-11). Springer, Cham.



---

Personal Blog (Traditional Chinese only):

[Jimmy Lab wordpress](https://jimmylab.wordpress.com/)
veides-sdk 0.1.0
API and Stream Hub Python SDK for Veides
License: MIT

# Veides SDK for Python

[![Build Status](https://travis-ci.org/Veides/veides-sdk-python.svg?branch=master)](https://travis-ci.org/Veides/veides-sdk-python)
[![Coverage Status](https://coveralls.io/repos/github/Veides/veides-sdk-python/badge.svg?branch=master)](https://coveralls.io/github/Veides/veides-sdk-python?branch=master)
[![Latest version](https://img.shields.io/pypi/v/veides-sdk.svg)](https://pypi.org/project/veides-sdk)
[![Python versions](https://img.shields.io/pypi/pyversions/veides-sdk.svg)](https://pypi.org/project/veides-sdk)

This repository contains Python modules for Veides SDK. It allows Python developers to easily connect and interact with Veides platform.

**Jump to**:

* [Installation](#Installation)
* [Samples](#Samples)
* [Features](#Features)

## Installation

### Using pip

```bash
pip3 install veides-sdk
```

### From source

```bash
git clone https://github.com/Veides/veides-sdk-python.git
python3 -m pip install ./veides-sdk-python
```

## Samples

[Samples README](https://github.com/Veides/veides-sdk-python/blob/master/samples)

## Features

### Veides Stream Hub Client

- **SSL/TLS**: By default, this library uses encrypted connection
- **Auto Reconnection**: Client support automatic reconnect to Veides Stream Hub in case of a network issue

### Veides API Client

- **Methods operations**: Use your application to invoke methods on agent