semvec/pypi-packages huggingface dataset:
replitapi 0.0.1
Tools for interacting with the replit site and database that do not depend on an ancient version of Flask.
Requires Python: >=3.7

# Replit API

## Database

Works exactly the same as the official implementation, but doesn't depend on Flask 1.1.2! See the official docs: https://replit-py.readthedocs.io/en/latest/api.html#module-replit.database

## Web scraper

```python
get_user_data(query, mode = "username")
```
`mode` - What to query by. Can be `"username"` or `"url"`.

`query` - The item to look for. Must be in format with the `mode`.

Returns: 
```python
LiteralObject({ # LiteralObject just behaves like a class for this purpose. Keys = Attributes.
    "favourite_langauges": [str(languages)],
    "cycles": int(cycles),
    "profile_picture": str(img_url)
  })
```

```python
get_repl_data(query, user = "", mode = "name")
```
`mode` - What to query by. Can be `"name"` or `"url"`.

`user` - Specifies the user to search for if the `mode` is `"name"`. Can be ommited if the `mode` is `"url"`.

`query` - The item to look for. Must be in format with the `mode`.

Returns: 
```python
LiteralObject({ # LiteralObject just behaves like a class for this purpose. Keys = Attributes.
    "favourite_langauges": [str(languages)],
    "cycles": int(cycles),
    "profile_picture": str(img_url)
  })
```

More to come!
replitapi-JustFinnbarM 0.0.1
Tools for interacting with the replit site and database that do not depend on an ancient version of Flask.
Requires Python: >=3.7

# Replit API

## Database

Works exactly the same as the official implementation, but doesn't depend on Flask 1.1.2! See the official docs: https://replit-py.readthedocs.io/en/latest/api.html#module-replit.database

## Web scraper

```python
get_user_data(query, mode = "username")
```
`mode` - What to query by. Can be `"username"` or `"url"`.

`query` - The item to look for. Must be in format with the `mode`.

Returns: 
```python
LiteralObject({ # LiteralObject just behaves like a class for this purpose. Keys = Attributes.
    "favourite_langauges": [str(languages)],
    "cycles": int(cycles),
    "profile_picture": str(img_url)
  })
```

```python
get_repl_data(query, user = "", mode = "name")
```
`mode` - What to query by. Can be `"name"` or `"url"`.

`user` - Specifies the user to search for if the `mode` is `"name"`. Can be ommited if the `mode` is `"url"`.

`query` - The item to look for. Must be in format with the `mode`.

Returns: 
```python
LiteralObject({ # LiteralObject just behaves like a class for this purpose. Keys = Attributes.
    "favourite_langauges": [str(languages)],
    "cycles": int(cycles),
    "profile_picture": str(img_url)
  })
```

More to come!
mproto 0.0.2
Make custom protocols
Requires Python: >=3.7

## Description
mproto is a python package for making custom protocols
## Installation
### pip
```bash
pip install mproto
```
## Usage
```python
import mproto
import urllib.request as urlreq

class MyCustomProtocol(mproto.BaseProtoHandler)
  def protocolname_open(self,req): #name must be protocol name + _open
    # do stuff with req
    return req.get_full_url()

mproto.install(MyCustomProtocol)
print(urlreq.urlopen('protocolname://abc')) #should print "protocolname://abc"
```

## Other
[docs](https://ninjamar.repl.co/mproto/docs)
py-modular 0.0.1
An experimental, modular audio programming environment in python

## About py-modular        

py-modular is a small, experimental audio programming environment for python.
It is intended to be a base for exploration of new audio technologies and workflows.
Most everything in py-modular is built around a node-based workflow, meaning small classes do small tasks and can be patched together to create full synthesizers or larger ideas.

## Installation

Running `pip install py-modular` should work. As the project is still in it's early stages, if there are any issues with the pip install, you can always clone this repository and use `pip install -r py_modular/requirements.txt` and use the module locally. 

## Setup      

If you want to use the parts of the project that depend on [Magenta](https://magenta.tensorflow.org/), we recommend that you follow their insturctions for creating a virtual environment, then install `requirements.txt` as py-modular does not include [Magenta](https://magenta.tensorflow.org/) as a dependency until the integration becomes more stable.

## Where to start      

Head over to py-modular's [documentation page](http://py-modular.readthedocs.io/) and read some of the [examples](https://py-modular.readthedocs.io/en/latest/examples/index.html) to get a quick idea of what py-modular is capable of.
FIV-CloudTrails-SDK 2.0.1
SDK for CloudTrails DevOps management FIVANA

# README #

This README would normally document whatever steps are necessary to get your application up and running.

### What is this repository for? ###

* SDK for CloudTrails DevOps management FIVANA
* 2.0.0
* [Learn Markdown](https://bitbucket.org/tutorials/markdowndemo)

### How do I get set up? ###

* Summary of set up
* Configuration
* Dependencies
* Database configuration
* How to run tests
* Deployment instructions

### Contribution guidelines ###

* Writing tests
* Code review
* Other guidelines

### Who do I talk to? ###

* Fibana
* https://fivana.com/