semvec/pypi-packages huggingface dataset:
dsssample 1.0.0
A sample Python project
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

# A sample Python project

![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
pydobot 1.3.2
Python library for Dobot Magician
Keywords: dobot,magician,robotics

[![CircleCI](https://circleci.com/gh/luismesas/pydobot.svg?style=svg)](https://circleci.com/gh/luismesas/pydobot)

Python library for Dobot Magician
===

Based on Communication Protocol V1.1.4 (_latest version [here](https://www.dobot.cc/downloadcenter.html?sub_cat=72#sub-download)_)


Installation
---

Install driver from https://www.silabs.com/products/development-tools/software/usb-to-uart-bridge-vcp-drivers.

```
pip install pydobot
```

Example
---

```python
from serial.tools import list_ports

import pydobot

available_ports = list_ports.comports()
print(f'available ports: {[x.device for x in available_ports]}')
port = available_ports[0].device

device = pydobot.Dobot(port=port, verbose=True)

(x, y, z, r, j1, j2, j3, j4) = device.pose()
print(f'x:{x} y:{y} z:{z} j1:{j1} j2:{j2} j3:{j3} j4:{j4}')

device.move_to(x + 20, y, z, r, wait=False)
device.move_to(x, y, z, r, wait=True)  # we wait until this movement is done before continuing

device.close()
```

Methods
---

* **Dobot(port, verbose=False)** Creates an instance of dobot connected to given serial port.
    * **port**: _string_ with name of serial port to connect
    * **verbose**: _bool_ will print to console all serial comms

* **.pose()** Returns the current pose of dobot, as a tuple (x, y, z, r, j1, j2, j3, j4)
    * **x**: _float_ current x cartesian coordinate
    * **y**: _float_ current y cartesian coordinate
    * **z**: _float_ current z cartesian coordinate
    * **r**: _float_ current effector rotation
    * **j1**: _float_ current joint 1 angle
    * **j2**: _float_ current joint 2 angle
    * **j3**: _float_ current joint 3 angle
    * **j4**: _float_ current joint 4 angle
* **.move_to(x, y, z, r, wait=False)** queues a translation in dobot to given coordinates
    * **x**: _float_ x cartesian coordinate to move
    * **y**: _float_ y cartesian coordinate to move
    * **z**: _float_ z cartesian coordinate to move
    * **r**: _float_ r effector rotation
    * **wait**: _bool_ waits until command has been executed to return to process
* **.speed(velocity, acceleration)** changes velocity and acceleration at which the dobot moves to future coordinates
    * **velocity**: _float_ desired translation velocity
    * **acceleration**: _float_ desired translation acceleration
* **.suck(enable)**
    * **enable**: _bool_ enables/disables suction
* **.grip(enable)**
    * **enable**: _bool_ enables/disables gripper
* **.wait(ms)** adds a waiting period to the internal queue of messages
    * **ms**: _int_ number of milliseconds to wait
manga-down 0.1.2
Python package to download manga available on mangareader and mangapanda
Requires Python: >=3.6.9
Keywords: web-scraping manga-down manga-download download manga-downloader requests bs4 beautifulsoup mangreader mangapanda

# manga_down
-----------------
manga_down is a tool to download manga from [Mangareader](https://www.mangareader.cc) and [Mangapanda](https://http://www.mangapanda.com) 

[![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)](https://travis-ci.org/joemccann/dillinger) 
[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity)
[![PyPI license](https://img.shields.io/pypi/l/ansicolortags.svg)](https://pypi.python.org/pypi/ansicolortags/) [![Python >=3.6.9](https://img.shields.io/badge/python-3.6.9+-blue.svg)](https://www.python.org/downloads/release/python-376/)

## Installation

```
pip3 install manga-down
```

## How to use?

### Mangareader

#### To view all chapters available for manga

```python
from manga_down import mangareader     #import mangareader from manga_down

naruto = mangareader.Manga("naruto")   #initialize Manga class with manga name
naruto.get_chapter_list()        #returns list of all chapters of given manga
```

Found the chapter number that you wanted to download?.
Here's how to download that chapter

```python
naruto.download_chapter("120")  #just call the download_chapter by passing chapter number as argument
```

wanted to download the chapter in another folder?
```
file_location = "/home/user/Downloads"
naruto.download_chapter("120", file_location)#this will download the chapter in another folder passed as parameter 
```

----------------------------------------

### Mangapanda

#### To view all chapters available for manga

```python
from manga_down import mangapanda   #import mangapanda from manga_down

bleach = mangapanda.Manga("bleach")   #initialize Manga class with manga name
bleach.get_chapter_list()        #returns list of all chapters of given manga
```

Found the chapter number that you wanted to download?.
Here's how to download that chapter

```python
bleach.download_chapter("120")  #just call the download_chapter by passing chapter number as argument
```

wanted to download the chapter in another folder?
```
file_location = "/home/user/Downloads"
bleach.download_chapter("120", file_location)#this will download the chapter in another folder passed as parameter 
```


### Found something unusual? Report [here](https://github.com/shaikhsajid1111/manga-down/issues)


## LICENSE
[MIT](LICENSE)
Access-Modify 1.0.8
Python module which includes private, or protected class methods for your classes.
Requires Python: >=3.6

# Access Modify
Use private, protected class methods in Python!

## Download
`pip install access-modify`

## Example

```Python
from access_modify import *


@access
class Test:
    # Test.a can be used by Test class methods.
    @private
    def a(self): return 1
    
    # Test.b can be used by Test class, or inherited class methods.
    @protected
    def b(self): return self.a()+1

class Inherited(Test):
    @public
    def c(self): return self.b()+1

r = Test()
w = Inherited()
print(r.a()) # raise AccessException
print(r.b()) # raise AccessException
print(w.c()) # 3
```
akkio 1.0.5
Convenient access to the Akkio API from python
Requires Python: >=3.6

# akkio-python
Convenient access to the [Akkio](https://www.akkio.com) API from python

## Installation
```bash
pip install akkio
```
## Usage
```python
import akkio
akkio.api_key = 'YOUR-API-KEY-HERE' # get your API key at https://app.akk.io/team-settings

models = akkio.get_models()['models']
for model in models:
  print(model)

datasets = akkio.get_datasets()['datasets']
for dataset in datasets:
  print(dataset)

new_dataset = akkio.create_dataset('python api test')
print(new_dataset)

# create a toy dataset
import random
rows = []
for i in range(1000):
  rows.append({
    'x': random.random()
  })
  rows[-1]['y'] = rows[-1]['x'] > 0.5

akkio.add_rows_to_dataset(new_dataset['dataset_id'], rows)

new_model = akkio.create_model(new_dataset['dataset_id'], ['y'], [], {'duration': 1})
print(new_model)
prediction = akkio.make_prediction(new_model['model_id'], [{'x': 0.1}, {'x':0.7}], explain=True)
print(prediction)
```