semvec/pypi-packages huggingface dataset:
mypastebot 0.2
A Python solution to creating pastes as a guest, listing new public pastes and more
License: MIT
Requires Python: >=3.6

# MyPasteBot
A simple https://pastebin.com Python package to create guest pastes, find new public pastes and more!

## prerequisites
requests==2.22.0

## Installation
```cmd
python -m pip install mypastebot
```
### Methods

#### Create a New Guest Paste
```python
from mypastebot import Create

token = Create.getToken()
paste = Create.makePaste(text='This is the text of our new paste', title='This is the title of the paste', format='1', token=token)
print("Link: " + paste['link'])
print("Raw Link: " + paste['raw'])
```

 #### Find Pastes Using Keyword
 ```python
from mypastebot import Search

# max limit is 15
pastes = Search.find(term='Python', limit=10)

print(pastes['results'])

# find most recent pastes

pastes = Search.find(term='Python', limit=10, sortType='date')

print(pastes['results'])
```

#### Find Newest Public Pastes
```python
from mypastebot import Search


pastes = Search.new()
print(pastes['results'])

# get new public pastes as links
pastes = Search.new(linkType='link')
print(pastes['results'])

# get new public pastes as raw links
pastes = Search.new(linkType='raw')
print(pastes['results'])
```
bokku 0.0.4
A small PAAS to deploy Flask/Django, Node, PHP and Static HTML sites using GIT, similar to Heroku
License: MIT
Keywords: deploy,bokku,flask,gunicorn,django,workers,heroku,firebase,dokku,paas

Bokku

A small PAAS to deploy Flask/Django, Node, PHP and Static HTML sites using GIT, similar to Heroku

https://github.com/mardix/bokku/
gitdraw 1.0.6
A simple tool for generating git graphs
License: MIT
Keywords: git,graph,draw,svg

# Gitdraw

A simple tool for generating git graphs from a set of git commands

## Getting Started

### Installing

Either clone directly from the repo or install using pip
```bash
pip install gitdraw
```

## Running the tests

The project tests are run with `pytest` automatically in pipelines. To run 
them manually find the `pytest` script command in [.gitlab-ci.yml](https://gitlab.com/broster/gitdraw/blob/master/.gitlab-ci.yml) 
and run it from the root of the repository.

```yaml
pytest:
  stage: Test
  script:
  - <this command>
```

## Running the tool

The tool is run using `python3.7`. For help text use:
```bash
python3.7 -m gitdraw.__main__ -h
```

It takes a single input file containing a list of git commands and
outputs a SVG representation
```bash
python3.7 -m gitdraw.__main__ -i infile
```

The tool currently supports the following commands:
* `git checkout <branch>`
* `git commit`
* `git branch <branch>`
* `git merge <branch>`

## Built With

See [requirements.txt](https://gitlab.com/broster/gitdraw/blob/master/requirements.txt) for the full details of external
packages. A number are used just for testing so won't be required if you
don't intend to run the tests


## Examples

There are a number of autogenerated examples that can be viewed 
[here](https://gitlab.com/broster/gitdraw/blob/master/samples/examples.md) along with their source text.
django-privacy-analytics 0.1.1
Privacy-focused, performant, and server-side analytics for your Django project
License: MIT

# Django Privacy Analytics

Django Privacy Analytics is a minimalist, performant, and privacy-focused analytics system that runs in your Django app.

### Do Not Track
Django Privacy Analytics fully respects the 'Do Not Track' (DNT) header; if a request has DNT enabled, Django Privacy Analytics _will not_ store a page view.

### Installation

1. Install Django Privacy Analytics by running `pip install django-privacy-analytics` or adding `django-privacy-analytics` to your `requirements.txt`
2. Add `privacy_analytics` to your `INSTALLED_APPS` setting.
3. Add `privacy_analytics.middleware.AnalyticsMiddleware` to your `MIDDLEWARE` setting, ideally somewhere towards the end (and after `AuthenticationMiddleware`).
4. Create the new necessary models by running `python3 manage.py migrate`.
5. _Optionally_ add a place to view the analytics by adding `path('analytics/', include('privacy_analytics.urls'))` to your URL routing configuration.

### Access

Currently, the dashboard is only visible to superusers. This will be configurable in a future version.

### Settings

In `settings.py`, you can set the following:

* `ANALYTICS_IGNORE_PATHS`: ignore requests whose paths start with members of this **list**