semvec/pypi-packages huggingface dataset:
musicautobot 0.0.1
Library for preprocessing MIDI files used in machine learning
Requires Python: >=3.6

# musicautobot
Package derived from https://github.com/bearpelican/musicautobot

This is meant to be a package for `pip`. The second branch of this repo is pulling directly from the original repo. The `master` branch is the published package.

## Installation
In addition to the package itself, you need
* music21
* midi2audio, which needs fluidsynth
* jupyter
* pebble
* fastai
## Pulling changes from the original repo
Follow this [post](https://stackoverflow.com/questions/24577084/forking-a-sub-directory-of-a-repository-on-github-and-making-it-part-of-my-own-r#24577293)
musicautobot-xsongyangx 0.1.1
Library for preprocessing MIDI files used in machine learning
Requires Python: >=3.6

# musicautobot
Package derived from https://github.com/bearpelican/musicautobot

This is meant to be a package for `pip`. The second branch of this repo is pulling directly from the original repo. The `master` branch is the published package.

## Installation
In addition to the package itself, you need
* music21
* midi2audio, which needs fluidsynth
* jupyter

## Pulling changes from the original repo
Follow this [post](https://stackoverflow.com/questions/24577084/forking-a-sub-directory-of-a-repository-on-github-and-making-it-part-of-my-own-r#24577293)
formula-prompt 0.1.0
A small library to lets you define formulas that you can evaluate in your terminal.
Requires Python: >=3.6

# Formula Prompt

This library let's you define formulas that you can later
evaluate in your command line. I use this library for school
work that requires repetitive calculations or calculations
needing a computer.

## Example

Here I define two formulas. Notice the `@register_formula(...)` decorator
that registers the formulas with the library.

```python
from formula_prompt import *

@register_formula([NumInput("side length")])
def volume_of_cube(s):
  return s ** 3

@register_formula([NumInput("length"), NumInput("width")])
def area_of_rectangle(length, width):
  return length * width
```
Now that the library has registered the formulas, I can launch the prompt.
```
launch_prompt()
```

The prompt lets you pick a formula and evaluate it.

```
0:	area_of_rectangle
1:	volume_of_cube
2:	quit
Pick a formula:
>>> 1
Input side length:
>>> 3
volume_of_cube:
27.0
```

For more examples, look at the [`/examples`](/examples) folder on GitHub.

## How to use this library

1. Install the library by running: `pip install formula-prompt`

2. Write your formulas (see example above).

3. Add the `@register_formula(...)` decorator (see below).

4. Call `launch_prompt()`.


### Using `@register_formula(...)`

`@register_formula(...)` is a decorator that takes in a few parameters.


name | Required | Description
--- | --- | ---
`func_inputs` | Yes | A list of objects describing the inputs to your formula (see allowed formula inputs section below).
`decimal_places` | No. Defaults to 4. | Decimal places to round the results of your formula to. Specify `None` to disable rounding.
`name` | No. Defaults to the function name. | Lets you set the name that will be displayed in the prompt. Names containing dots (`.`) will be considered folders. For example, `volumes.cube` will place the formula in a `volumes` folder and display the formula as `cube`.

### Allowed formula inputs

You can specify three types of inputs.

- `NumInput`: For inputs that accepts a single floating-point number.


- `IntInput`: For inputs that accept a single integer.


- `ListInput`: For inputs that accept a list of floating-point numbers.

You can use `optional=True` to allow skipping the input (this will pass `None`
to your function).

Here's an example.
```python
@register_formula([
    IntInput("first optional input", optional=True),
    NumInput("second non-optional input")
])
def some_funtion(first_integer_input, second_float_input):
    ...
```

You can also make a custom input type by creating a class that inherits from `Inputs`. See [`inputs.py`](/formula_prompt/inputs.py).
uarizona-ece275-outputfileTester 0.0.20
Packaage used to test and compare output files for ECE 275 @ the University of Arizona
Requires Python: >=3.6

# UArizona ECE 275 Output File Tester

This package is used to compare output files for ECE 275 at The University of Arizona.
The package really should not be used by anyone else as functionality is not very general and there is no documentation. 
Package placed on PyPI for easy student (and Docker container) install only!
uiytrtr 2.0.5
freeamongus
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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