semvec/pypi-packages huggingface dataset:
scikit-opt 0.0.1
A simple plot tool to generate SVG graphs
License: MIT
Requires Python: >=3.5

# plot2svg

I was using some other tools to plot and save to `.SVG` file, And I found the files are too big.  
So I make this package myself to generate SVG graphs with small file size.  

For example, this package plot a bar which is **0.6 KB**, compared to other tools plot the same bar which is **40 KB**


## install

`pip install plot2svg`

## usage

plot a bar
```python
from plot2svg import Bar

data = list(range(25))

view = Bar(width=500, height=300, color="black", data=data)
svg_context = view.get_svg_context()
print(svg_context)
view.save_svg('data_bar.svg')
```

plot texts

```python
from plot2svg import Text

text = '''test
测试
换行
plot2svg is light'''

view = Text(width=500, height=300, color="black", text=text)
svg_context = view.get_svg_context()
print(svg_context)
view.save_svg('data_text.svg')
```
dynamodb-cache 0.1.1
A simple Dynamodb backed cache with TTL.
License: MIT

.. image:: https://github.com/MacHu-GWU/dynamodb_cache-project/workflows/CI/badge.svg
    :target: https://github.com/MacHu-GWU/dynamodb_cache-project/actions?query=workflow:CI

.. image:: https://codecov.io/gh/MacHu-GWU/dynamodb_cache-project/branch/main/graph/badge.svg
    :target: https://codecov.io/gh/MacHu-GWU/dynamodb_cache-project

.. image:: https://img.shields.io/pypi/v/dynamodb_cache.svg
    :target: https://pypi.python.org/pypi/dynamodb_cache

.. image:: https://img.shields.io/pypi/l/dynamodb_cache.svg
    :target: https://pypi.python.org/pypi/dynamodb_cache

.. image:: https://img.shields.io/pypi/pyversions/dynamodb_cache.svg
    :target: https://pypi.python.org/pypi/dynamodb_cache

.. image:: https://img.shields.io/badge/STAR_Me_on_GitHub!--None.svg?style=social
    :target: https://github.com/MacHu-GWU/dynamodb_cache-project

------

.. image:: https://img.shields.io/badge/Link-Source_Code-blue.svg
    :target: https://dynamodb_cache.readthedocs.io/py-modindex.html

.. image:: https://img.shields.io/badge/Link-Install-blue.svg
    :target: `install`_

.. image:: https://img.shields.io/badge/Link-GitHub-blue.svg
    :target: https://github.com/MacHu-GWU/dynamodb_cache-project

.. image:: https://img.shields.io/badge/Link-Submit_Issue-blue.svg
    :target: https://github.com/MacHu-GWU/dynamodb_cache-project/issues

.. image:: https://img.shields.io/badge/Link-Request_Feature-blue.svg
    :target: https://github.com/MacHu-GWU/dynamodb_cache-project/issues

.. image:: https://img.shields.io/badge/Link-Download-blue.svg
    :target: https://pypi.org/pypi/dynamodb_cache#files


Welcome to ``dynamodb_cache`` Documentation
==============================================================================
Redis is a good distributive cache. What if I don't want to manage a server? AWS Dynamodb could be another awesome backend for distributive cache. Reasons are:

- It takes 5 seconds to create a backend table
- No server to manage
- It automatically scale up and down
- The pricing can be pay-as-you-go
- It can handle 1K + concurrent read easily

TODO: add usage doc

.. _install:

Install
------------------------------------------------------------------------------

``dynamodb_cache`` is released on PyPI, so all you need is:

.. code-block:: console

    $ pip install dynamodb_cache

To upgrade to latest version:

.. code-block:: console

    $ pip install --upgrade dynamodb_cache
PARAMETEREDITOR 2.2.1
Randomizes enemy stat values for most of the enemies in the game Metroid Prime.
License: MIT

# PARAMETEREDITOR
Randomizes most enemy (and bosses) stats: scale, health, speed, damage, and knockback power within a user defined range for the game "Metroid Prime"

Build instructions are written for linux but the windows version of them should work. (For windows you can also just run 'python setup.py build_ext --inplace' in the root directory if you have cython and python already)

# Usage

## Python Module
```sh
> pip install PARAMETEREDITOR
> python
>>> import PARAMETEREDITOR
>>> PARAMETEREDITOR.PyPARAMETEREDITOR("input.iso", "output.iso", 601310422, 0.25, 4, 0.25, 4, 0.25, 4, 0.25, 4, 0.25, 4, True) # (Input, Output, Seed, ScaleLow, ScaleHigh, HealthLow, HealthHigh, SpeedLow, Speedhigh, DamageLow, DamageHigh, KnockbackPowerLow, KnockbackPowerHigh, RandoScaleXYZSeperatly)
```

# Windows

## Python

```
tools/venv.sh
tools/build-cython.sh
```

## Standalone
```sh
tools/build-standalone.sh
requests-qwd 0.1.3
A small package
License: MIT
Requires Python: >=3.6

# requests_qwd

#### 介绍
requests_qwd魔改了requests库，使发出请求的同时记录请求消耗时间，并保存到本地文件

### 使用方式
```python
import requests_qwd as requests
r = requests.get(url,requests_name='该请求的代号',is_save_log=True,speed_log_path='./speed_log.log')
```