semvec/pypi-packages huggingface dataset:
hrm-py 0.1.1
Human Resource Machine (HRM) Interpreter
License: MIT
Requires Python: >=3.8
Keywords: hrm,interpreter,interpreted language,human,resource,machine

# Human Resource Machine Interpreter

<img src="https://raw.githubusercontent.com/Sigmanificient/HRM-Interpreter/main/docs/banner.png" alt="Game img">

Human Resource Machine is a game where you play an employee controlled by a block-like "programming language".
The goal of this repository is to create an interpreter for this "programming language".

The syntax is kind of clause to assembly, using jumps for controlling the flow.
The inbox and outbox correspond to argument and return value.
For each level, a prompt is given and the player code is tested with multiple values.

Overflow occurs when the value is lower than -999 or bigger than 999.

## HRM interpreted Language

The HRM language will follow these specificities:

- Comment will be defined using `#` on an empty line.
- `inbox` will give an integer value from a given stack ranging from -999 to 999
- `outbox` will be yield from the `run` function.
- every value within square bracket will be considered as a number corresponding to a slot id, or a label that identify a slot.
- `jump` will have an argument to the instruction to teleport the pointer to. blank & comment line will not count.
- `slot` allow to define slot name given an id and a string.
basic-maths 0.1.20
Basic maths library for multiplication and division
License: MIT

# Basic maths

A small demo library for multiplying and dividing numbers.

### Installation
```
pip install basic-maths
```

### Get started
How to multiply one number by another with this lib:

```
from basic_multiplication import Multiplication

# Instantiate a Multiplication object
multiplication = Multiplication(2)

# Call the multiply method
result = multiplication.multiply(5)
```
Exif-python 1.0.4
Extract Exif data from image files
License: MIT
Keywords: Exif image video metadata

# Exif-extractor

This is an package that is used to extract meta data and Exif information from images. This package is published in PyPI as named <a href="https://pypi.org/project/Exif-python/">Exif-extractor</a>.

# Installing

    pip install Exif-extractor

# Usage
`get_exif_for_file()` takes an image as argument and return meta information as dictionary\
`get_exif()` takes list of images as argument and return meta information as list

    >>> import Exif
    >>> imagename = "image.jpg"
    >>> Exif.get_exif_for_file(imagename)
    >>> Exif.get_exif(imagename)