semvec/pypi-packages huggingface dataset:
json-serializer 1.0.1
The library for serialize/deserialize into format JSON.
License: MIT

# Package json_serializer

The library for serialize/deserialize into format JSON.

### How use it?

##### For example you have class that needed serialize or deserialize.

```python
class Car(object):
    mark = None
    model = None
    year = None
    color = None
```

##### Create object
```python
car = Car()
car.mark = 'Ford'
car.model = 'Mustang'
car.year = 2016
car.color = 'Black'
```

##### Import class JsonSerializer and create object of serializer

In the constructor pass list of classes that will be involved in serialization/deserialization.

```python
from json_serializer.Serializer import Serializer
...
serializer = Serializer([
    Car
])
```

##### Serialization 

```python
string = serializer.serialize(car)      # sting contains next json:
                                        # {
                                        #    "mark": "Ford",
                                        #    "model": "Mustang",
                                        #    "year": 2016,
                                        #    "color": "Black"
                                        # }
```

##### Deserialization
```python
car = serializer.deserialize(string)

```
Variable `car` type of `Car` and contains values of all fields.

Enjoy!
osbpy 3.0.1
Simple library for osu! storyboarding
License: MIT
Requires Python: >=3
Keywords: graphics audio rhythm game


osbpy
=====

osbpy is a simple library for creating storyboards for the game osu!. It can help you automate the process of creating a high number of storyboard objects, but even to make very advanced effects.

What can it do?
===============

It supports all functions of storyboarding that osu! does, including triggers and loops. The only exception are the storyboard hitsounds, because it has no use for people who create storyboards.

Additionally, you can generate an audio spectrum data from an audio file and use that with your objects to create a visual spectrum very easily.

Am I allowed to change the library?
===================================

Of course. The library is using MIT license. As long as you follow its simple conditions, I don't mind you using or distributing this library in any way.

If you want to modify other libraries that this library is using, please follow their license. This license only applies to files that are included on this repository.

Requirements
============

This library requires:


* Python (3.7+), I will always update osbpy to the newest version.
* numpy 1.15.4+
* matplotlib 3.0.2+
* scipy 1.1.0+
  All these libraries can be easily installed with pip.

Installation
============

.. code-block::

   pip install osbpy