semvec/pypi-packages huggingface dataset:
watchlogs 0.1.3.21
A simple, colourful logfile watcher
Requires Python: >=3.6

## watchlogs

`watchlogs` is a simple command line utility for watching multilpe log files and interleaving their contents to `stdout` as each log is appended to.  It aims to achieve the functionality of `tail -F`, but with more colour.

### Usage

`watchlogs --log_files /path/to/log1.txt,/path/to/log2.txt,....`

 <img src="misc/demo.gif" height="350">

### Installation

Install via `pip install watchlogs`.  If you prefer to hack around with the source code, it's a [single python file](watchlogs/watchlogs.py).

### Behaviour

`watchlogs` has the following behaviour when `log.txt` is updated (assuming that `watchlogs --log_files log.txt` has been run):

* action: *appending* (**supported**) `echo "x" >> log.txt` (prints `x` to screen)


* action: *moving/rotating* (**supported**) `touch log2.txt ; echo "y" > log2.txt ; mv log2.txt log.txt` (prints`y` to screen)

* action: *overwritng in-place* (**not supported**): `echo "z" > log.txt` (`z` is lost)

### Implementation


`watchlogs` uses the [tailf](https://gitlab.com/trooniee/tailf) library to monitor OS events.  


### Dependencies

* `Python >= 3.6`
* `seaborn`
* `colored`
* `tailf`
* `psutil`
graph-tensor 0.1.0
A universal graphics library
Requires Python: >=3.7

# Graph

[![GitHub issues](https://img.shields.io/github/issues/TensorAtom/Graph)](https://github.com/TensorAtom/Graph/issues) [![GitHub forks](https://img.shields.io/github/forks/TensorAtom/Graph)](https://github.com/TensorAtom/Graph/network) [![GitHub stars](https://img.shields.io/github/stars/TensorAtom/Graph)](https://github.com/TensorAtom/Graph/stargazers) [![GitHub license](https://img.shields.io/github/license/TensorAtom/Graph)](https://github.com/TensorAtom/Graph/blob/master/LICENSE) [![HitCount](http://hits.dwyl.io/TensorAtom/Graph.svg)](http://hits.dwyl.io/TensorAtom/Graph) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cv) ![repo size](https://img.shields.io/github/repo-size/TensorAtom/Graph.svg) [![contributors](https://img.shields.io/github/contributors/TensorAtom/Graph.svg)](https://github.com/TensorAtom/Graph/graphs/contributors) [![watcher](https://img.shields.io/github/watchers/TensorAtom/Graph.svg)](https://github.com/TensorAtom/Graph/watchers)

The goal is to build a Tensor-based computer graphics library that focuses on the field of computer vision.

The graphic elements of this project refer to the **Canvas** of tkinter (Python 3.7 or later). The code implementation principle and the instruction manual can refer to [tutorial](https://github.com/TensorAtom/tutorial/tree/master/Graph/README.md) in this project.

Graph_tensor user manual reference [manual](manual.md).

## PyPI support available

You can install the latest version using the following command:

```sh
$ pip install graph-tensor
```

The following command is used when called:

```python
import graph_tensor
```

## Contribution

You are welcome to contribute new code. A detailed description of the package can be found in [DeveloperGuide_en](DeveloperGuide_en.md) or [DeveloperGuide_zh](DeveloperGuide_zh.ipynb).

## Reference

- [Computer Graphics from scratch](https://gabrielgambetta.com/computer-graphics-from-scratch/introduction.html) �� [Github](https://github.com/ggambetta/computer-graphics-from-scratch)