semvec/pypi-packages huggingface dataset:
ergs-selector 0.1.2
Effective Range-based Feature Selection (ERGS) for Classification
Requires Python: >=3.6

# ERGS Selector

`ergs-selector` is a Python package for performing Effective Range-based Feature Selection (ERGS) for classification problems. It helps select features based on their value range separation across classes.

## Installation

```bash
pip install ergs-selector
```

## Usage

```python
from ergs_selector import ERGSSelector

selector = ERGSSelector(top_k=15)
X_selected = selector.fit_transform(X, y)
```

## License

MIT License

Copyright (c) 2025

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.
cheesymamas 0.2.73
A local-first code editor with cheesy Git goodness
Requires Python: >=3.8

# Cheesy Mamas

Cheesy Mamas is a local-first, multi-tab code editor built in Python with PyQt6. It’s designed for clean editing, with Git history and version tracking built directly into the interface. And cheesy accents.

There is no telemetry, no sync, no accounts (but there's a little cheese!). Cheesy Mamas is built to live on your machine and yours alone.

---

## Installation

```bash
pip install cheesymamas
cheesymamas
```

---

## Requirements

- Python 3.9+
- Git (installed and available in PATH)
- PyQt6

To install dependencies:

```bash
pip install PyQt6
```

---

## What It Does

- Multi-tab editing with save/save as support and dirty state tracking
- Git integration: each file shows its own commit timeline
- Clicking a commit highlights changed lines from that version
- Right-click any commit to:
  - View the diff
  - Revert the file to that version
  - Copy that version to clipboard
- Inline "Revert Line" buttons for changed lines
- Smart paste (indent-aware, like good mac & cheese)
- Live search with instant visual highlighting and match count
- Syntax highlighting for Python, C, and LaTeX
- Compile support for Python, C (via gcc), and LaTeX (via pdflatex)
- Bash button to run or edit saved terminal commands
- Give me more cheese please UI
- Exit protection: warns if unsaved files are open
- Single-instance file relay (new files open in the same window)
- Installable as a native app with icon and launcher integration
- I really would like more cheese, please send your cheese to Cheesy Mama's House

---

## Why It Exists

Cheesy Mamas was made because most editors either:

1. Assume you'll sync your code to the cloud
2. Don’t show file history visually, where you’re working
3. Require extensions, setup, or background services to track changes

Cheesy Mamas keeps the full Git history visible beside the file, so you always know what changed, when it changed, and why.

---

## Notes

If you see anything pop up in that little box in the bottom right corner, that's a bug! Send it to me!
aviatrix-migration 0.2.148
Aviatrix Discovery Migration
Requires Python: >=3.7

# Aviatrix VPC/VNET Migration

Aviatrix Migration discovers networking components and migrates existing VPCs and VNETs to the Aviatrix multi cloud transit network.

## Installation

The recommended method for installing Aviatrix Migration is to use the [AWS CloudFormation](https://aviatrix-migration.s3.us-west-2.amazonaws.com/migration_EC2.yml) template or the [Azure ARM](https://aviatrix-migration.s3.us-west-2.amazonaws.com/migration_VM.sh) template . Each template will create an ubuntu EC2/VM instance with Migration and terraform automatically installed. SSH into the instance using the private key selected when deploying the template.
```
ssh -i <keypair> ubuntu@<IP of the deployed instance>
```
Optionally, you can manually install Aviatrix Migration using pip. Refer to [pip documentation](https://pip.pypa.io/en/stable/installation/) for instructions on installing pip for your operating system. You will also need to [manually install](https://learn.hashicorp.com/tutorials/terraform/install-cli) terraform
```
pip3 install aviatrix-migration
```

## Aviatrix Controller Requirements

Update the security group for the Aviatrix Controller to allow TCP port 443 from the IP of the system where Migration is installed. Use netcat to confirm the connectivity.
```
ubuntu@AviatrixMigration:~$ nc -zv <controller-ip> 443
Ncat: Version 7.50 ( https://nmap.org/ncat )
Ncat: Connected to <controller_ip>:443.
Ncat: 0 bytes sent, 0 bytes received in 0.01 seconds.
```
Verify the output says `Connected to <controller_ip>:443` and not `Connection timed out.`.

## Migrating VPCs and/or VNETs

The migration process requires Aviatrix Advanced Services team help. Please contact Aviatrix for help with your migration project.
aviatrix-discovery 0.2.148
Aviatrix Discovery Generator
Requires Python: >=3.7

# Aviatrix Discovery

Aviatrix discovery is a complimentary set of scripts to [Aviatrix Migration](https://pypi.org/project/aviatrix-migration) scripts. Discovery Generator can automatically discover VPCs and generate input files for use with [Aviatrix Migration's](https://pypi.org/project/aviatrix-migration) network discovery, --stage_vpcs and --switch_traffic functions.

## Installation
Install via pip:
```
pip install aviatrix-discovery
```
Upgrade via pip:
```
pip install --upgrade aviatrix-discovery
```

## Discovering VPCs and/or VNETs

The migration process requires Aviatrix Advanced Services team help. Please contact Aviatrix for help with your discovery and migration project.