semvec/pypi-packages huggingface dataset:
math-utils-john 1.0.0
A comprehensive mathematics utility library
License: MIT
Requires Python: >=3.7
Keywords: math, utilities, statistics, geometry

# Math Utils

A comprehensive mathematics utility library for Python.

## Installation

```bash
pip install math-utils-john
```
# Features

## Basic Operations

Fibonacci sequence
Prime number checking
Factorial calculation
Number operations
Statistics

Mean, median, mode
Standard deviation
Variance
Geometry

Area calculations
Volume calculations
Pythagorean theorem
Usage Examples

```python
from math_utils import fibonacci, is_prime
from math_utils.statistics import mean, median
from math_utils.geometry import circle_area, triangle_area

# Basic operations
print(fibonacci(10))  # 55
print(is_prime(17))   # True

# Statistics
data = [1, 2, 3, 4, 5]
print(mean(data))     # 3.0
print(median(data))   # 3

# Geometry
print(circle_area(5))      # 78.53981633974483
print(triangle_area(3, 4)) # 6.0
```
# License

## Features




### `LICENSE` 
```text
MIT License

Copyright (c) 2024 John Doe

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```
insight-plugin 1.9.25
Tooling for developing plugins for InsightConnect
License: MIT
Requires Python: >=3.0

# Insight Plugin - CLI Tooling for plugin development

## Commands

### Analysis
Run Static Code Analysis on the plugin.

This command will run the static code analysis check on the plugin.

### Checks
Run analysis, linter and validate on the plugin.

This will allow you to recreate, locally, all the github checks that get run
on plugins.

### Create
Create a new plugin.

This command will generate the skeleton folder structure and 
code for a new plugin, based on the provided plugin.spec.yaml file.

### Export
Export a plugin Docker image to a tarball.

This tarball can be uploaded as a custom plugin 
via the import functionality in the InsightConnect UI.

### Refresh
Refresh the plugin.

This command will update the current plugin code, 
when updates are made in the plugin.spec.yaml file, 
and will also run 'black' to format the code.

### Validate
Validate / Run checks against the plugin. 

This command performs quality control checks on the current 
state of the plugin. 
This should be run before finalizing any new updates.

### Samples
Create test samples for actions and triggers. 

This command will create new files under the 'tests' folder which can be 
used to test each new action/trigger. 
Note if a file already exists for a particular action/trigger, it will be overwritten.

### Run
Run an action/trigger from a json test file (created during sample generation)

### Server
Run the plugin in HTTP mode. 

This allows an external API testing program to be used to test a plugin 

### Shell
Run the plugin via the docker shell to enable advanced debugging

### Convert Event Source

Convert a RapidKit event source to a plugin

This command will generate the skeleton folder structure and 
code for a new plugin, based on the provided RapidKit config.yaml file.