semvec/pypi-packages huggingface dataset:
cone 0.1.1
A tool to sync projects to Roblox Studio
Keywords: roblox

# __CONE__
---
__cone__ is a tool to simplify your workflow when you are working on Roblox. It comes it two parts:
 - A python package named `cone`
 - A Roblox plugin also named [`cone-plugin`](https://gitlab.com/rbx-cone/cone-plugin)

__cone__ is similar to any syncing tool for Roblox (like [Rojo](https://github.com/LPGhatguy/rojo)). What makes __cone__
allows you to work outside of Roblox Studio, run your tests with [TestEZ](https://github.com/Roblox/testez) from your command line.
## Installation
---
### Package
If you don't have python installed on your computer, you can [get it here](https://www.python.org/downloads/). Then, you can install the package by running `pip install cone` in your command line.
### Plugin
Easiest way to download it is from the [Roblox page](www.google.ca)

## How to use `cone`
---
### Configuration file
In your working directory, there must be a file named `cone.json` where you can tell __cone__ how to sync your project.
```
[
    {
        "path" : "src/ClientScripts",
        "parent" : "ReplicatedFirst"
    },
    ...
    {
        "path" : "src/ServerScripts",
        "parent" : "ServerScriptService"
    }
]
```
The `path` key needs to point to a folder or a file in your project. The `parent` value needs to point to an instance in the Roblox place where you will parent the file or folder pointed by `path`. You can place as many as you need.
### Commands
Each of these commands can be run in the working directory where you `cone.json` file is located.
#### `cone test`
Runs your tests and prints the results in the console.
#### `cone deploy [-t]`
Takes you project and use the `cone.json` configuration file to apply your scripts in the opened Roblox place.
#### `cone revert`
Reverts the last executed `cone deploy`.
jsdhgsdysdhggds 1.1
TODO: add library description

Jsdhgsdysdhggds
=================
This API SDK was automatically generated by [APIMATIC Code Generator](https://apimatic.io/).

This SDK uses the Requests library and will work for Python ```2 >=2.7.9``` and Python ```3 >=3.4```.

How to configure:
=================
The generated code might need to be configured with your API credentials. 
To do that, open the file "Configuration.py" and edit its contents.

How to resolve dependencies: 
===========================
The generated code uses Python packages named requests, jsonpickle and dateutil.
You can resolve these dependencies using pip ( https://pip.pypa.io/en/stable/ ).

  1. From terminal/cmd navigate to the root directory of the SDK.
  2. Invoke ```pip install -r requirements.txt```

Note: You will need internet access for this step.

How  to test:
=============
You can test the generated SDK and the server with automatically generated test
cases. unittest is used as the testing framework and nose is used as the test
runner. You can run the tests as follows:

  1. From terminal/cmd navigate to the root directory of the SDK.
  2. Invoke ```pip install -r test-requirements.txt```
  3. Invoke ```nosetests```

How to use:
===========
After having resolved the dependencies, you can easily use the SDK following these steps.

  1. Create a "jsdhgsdysdhggds_test.py" file in the root directory.
  2. Use any controller as follows:
```python
from __future__ import print_function
from jsdhgsdysdhggds.jsdhgsdysdhggds_client import JsdhgsdysdhggdsClient

api_client = JsdhgsdysdhggdsClient()
controller = api_client.client
response = controller.get_basic_auth_test(<required parameters if any>)

print(response)
```