semvec/pypi-packages huggingface dataset:
fake-usrag-bor 0.1.41
Simple package with fake user agents for your requests.
Keywords: user,agent,user agent,useragent,fake,fake useragent,fake user agent

# Simple package with fake user agents for your requests.

## Installation
    pip install fake-usrag-bor

## Usage

### 1. Initialization:
    from fake_usrag_bor import FakeUserAgentBOR
    ua = FakeUserAgentBOR()

### 2. Some examples:
    #Random user agent
    ua.random_user_agent()
    >> Mozilla/5.0 (Windows; U; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727)
    
    #Random Google Chrome user agent
    ua.random_chrome_user_agent()
    >> Mozilla/5.0 (Windows NT 5.1) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.815.0 Safari/535.1
   
    #Simple header with random user agent
    ua.simple_header()
    >> {'User-Agent': 'Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.8.1.4) Gecko/20070509 Firefox/2.0.0'}
    
    #Simple header with Opera user agent
    ua.simple_header(ua.random_opera_user_agent)
    >> {'User-Agent': 'Mozilla/4.0 (compatible; MSIE 5.0; Windows XP) Opera 6.04  [fr]'}
    
## Notes

###### This package working without Internet, it's mean, that you shouldn't make request to different sites to take some user agents.

## Release history
* 0.1.41 Description fixes
* 0.1.3 Some bug fixes for Unix systems
* 0.1.2 Removed tested strings from main file
* 0.1.1 Added description to README
* 0.1 Released
irapi 0.1.0
InnoRPA common API package

# InnoRPA API Package

## This is a innoRPA API package.

* ## Install the Package locally
```
  $ pip install .

  and then use it as follow.
  >>> import irapi
  >>> print irpa.getValue()
```

* ## Publishing on PyPi
```
  $ python setup.py bdist_wheel
  $ python -m pip install dist/irapi-0.1-py2-none-any.whl
  $ python -m twine upload dist/*
```

* ## Install the Package from PyPi
```
  $ pip install irapi
```
number-to-words 0.1.2
Python converter of numbers in figures to words

# Given any number up to a vigintillion, this class will return the same number in words

## requirements
- python3 

## running the tests
```python tests.py```

## using custom tests
```
Import NumbersToWords;
NumbersToWords("45781", add_and=False).words # for when the conjuntion "and" is unnecessary
NumbersToWords("45781", add_and=True).words # for when the conjuntion "and" is necessary

# replace 45781 with custom numbers as desired within the bounds
```

## Assumptions
The class only works with strings. We are not handling
- negative integers
- direct integers. 

You have to pass the number intended as a string
Of course a serializer can be used to validate this in production
if it was user input.
oss-api 0.0.4
api for IMDC's OSS server

# OSS_API

Allows to script the creation of scenarios and uploading of layers to OSS for displaying in synapps.

## installation
`pip install git+https://IMDCdocker:#######@gitlab.com:imdc/packages/oss_api`

## command line interface

1. configure the project id: `oss configure -p 42`
2. create a scenario: `oss createScenario -n "new scenario"` # scenario_id = e.g. 108
3. Upload a *.tif / *.shp file: `oss uploadLayer -i 108 -f D:\shapefile.shp -s shapefile.sld -n "new layer" -g Group1`

## python interface

```python
from oss_api import configure, createScenario, uploadLayer
import os

configure(project=42)
scen = createScenario(name="Testing new scenario")

layers = [r"D:\dev\testdata\subcatchments.shp", r"D:\dev\testdata\dem.tif"]

for idx, layer in enumerate(layers):
    uploadLayer(scenario=scen, name=os.path.basename(layer), filename=layer, sld="polygon", group="Group+%d"%idx)
```
v4docker 0.1.2
Simple TUI to manage docker images
Requires Python: >=3.6

# v4docker

Simple Terminal UI tool to manage docker images.

## install

python/pip 3.6+ required

```bash
$ pip3 install --user v4docker
```


## usage

key `up` and `down` to move cursor.

key `d` to remove image.

key `tab` switch to quit button, press `enter` to quit.


## features TODO

- [] sort images by repository
- [] show image detail/history