semvec/pypi-packages huggingface dataset:
proton-mail-trash 1.2.1
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Requires Python: >=3.13

# proton-mail-trash
`proton-mail-trash` will permanently delete all messages in your Proton Mail trash that are older than 30 days. Note that **this is not the same as deleting messages that have been in the trash for more than 30 days**.

Works on Linux and Windows!

## Installation
Requires Python 3.13+

Requires `git` to be installed
```bash
# Using uv:
uv tool install proton-mail-trash
# Using pipx:
pipx install proton-mail-trash
# Using pip:
pip install proton-mail-trash
```

## Usage
```bash
proton-mail-trash
```

## Disclaimer
Use this software only at your own risk, and review the code if you want to.

This software uses Hydroxide's IMAP support, which is experimental.

This software permanently deletes messages from your Proton Mail account.

This software might not be an allowed use of Proton's products.

## Credits
Only possible thanks to [Hydroxide, a third-party, open-source ProtonMail CardDAV, IMAP and SMTP bridge](https://github.com/emersion/hydroxide)!
mdot 0.1.1
A simple CLI Morse Code encoder/decoder
Requires Python: >=3.6

# mdot
> *"Talk in dots and dashes like it’s 1844."*  
---

A lightweight **CLI tool** to encode and decode Morse code - because typing `.... . .-.. .-.. ---` is just cooler than typing “hello”.  

---

## Install

```bash
pip install mdot
````

---

## Usage

**Encode Text → Morse**

```bash
mdot --encode "HELLO WORLD"
# .... . .-.. .-.. --- / .-- --- .-. .-.. -..
```

**Decode Morse → Text**

```bash
mdot --decode ".... . .-.. .-.. ---"
# HELLO
```

---

## Features

* Encode text into Morse code
* Decode Morse code back into text
* No internet required - works entirely offline
* Simple & lightweight (less than 100 lines of code)

---

## Contributing

PRs are welcome!
If you’d like to add sound output, file support, or even ASCII flashing lights - go wild.

---

## License

[MIT License](LICENSE) - free to use, modify, and share.

---
pyinno-setup 0.0.6
module for creating installable exe from iss file using innosetup compiler
Requires Python: >=3.6
Keywords: compiler, inno setup, exe, installer, generate


## 🚀 pyinno_setup
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Python](https://img.shields.io/badge/Python-3.6%2B-blue.svg)](https://www.python.org/)
[![Issues](https://img.shields.io/github/issues/its-me-abi/pyinno_setup.svg)](https://github.com/its-me-abi/pyinno_setup/issues)

it is an python wrapper for programmatically building installable exe from iss script using embedded innosetup binary.  


### ✨ Features

- **Automate Installer Creation:** Generate Windows installers (`.exe`) from Python without comandline or gui,
- **Seamless Inno Setup Integration:** Harness the full power of Inno Setup, embedded and ready to use.

### 📦 Installation
from pypi using pip
```
pip install pyinno-setup
```
from github source:
```
git clone https://github.com/its-me-abi/pyinno_setup.git

```

### 🛠️ Quick Start

```python
from pyinno_setup import inno

if inno.build("inputfolder/template.iss", "outfolder"):
    print("### successfully built")
else:
    print("### build failed ")
```

another example using class

```python
    setup = inno.setup ( "inputfolder/template.iss", outfolder = "outfolder" , outfile="xxx" )
    print("cli arguemnts are " , setup.get_cli_list())
    try:
        if setup.build():
            print("### successfully built by innosetup ###")
    except:
        print("### innosetup build failed ###")

```

### 💡 Why pyinno_setup?

- **No more manual ` cli or gui .**
- no need to install and configure innosetup yourself,everything is avaialble in this package
---

### 🖥️ Requirements

- Python 3.6+
- [Inno Setup](https://jrsoftware.org/isinfo.php) (embedded or available in your environment)
- Windows OS needed because innosetup only works in windows and it is for windows

---

### 🤝 Contributing

1. Fork this repo
2. Create a feature branch (`git checkout -b awesome-feature`)
3. Commit your changes
4. Open a Pull Request

---

### 📄 License

MIT License. See [LICENSE](LICENSE).

---

### 🙏 Acknowledgements

- [Inno Setup](https://jrsoftware.org/isinfo.php) by Jordan Russell

---

### 🌐 Links

- [wiki](https://github.com/its-me-abi/pyinno_setup/wiki)
- [Inno Setup Documentation](https://jrsoftware.org/ishelp/index.php)
norc 0.0.1
Noise Resilient Hardware Counters in HPC
Requires Python: >=3.8
Keywords: hardware counter, noise, HPC

# NORC Analysis Components

**NORC** is a Python toolkit for measuring and analyzing the **noise resilience** of hardware counters in High-Performance Computing (HPC) systems.  
It provides both command-line utilities and a GUI for automated performance measurements, statistical analysis, visualization, and ranking of metrics.

---
## Installation

Clone the repository and install locally:

```bash
git clone https://github.com/tuda-parallel/NORC.git
cd NORC/analysis
pip install .
```

## Analyzing Results

NORC offers two types of analysis tools:
- **CLI Tools** – `norc_analyze`, [`norc_plot`](doc/plot.md), and [`norc_rank`](doc/rank.md)  
- **GUI Tool** – `norc_gui`

### NORC CLI
All CLI tools accept an **experiment directory** as input.  
`norc_plot` and `norc_rank` must be run **after** `norc_analyze` has processed the experiment.

Example workflow:
```bash
norc_analyze /path/to/experiment     # Perform analysis
norc_plot /path/to/experiment        # Generate plots
norc_rank /path/to/experiment        # Rank metrics
```
### NORC GUI
The GUI (`norc_gui`) requires no parameters.
After launch:
1. Use the status bar to select the root directory of an experiment.
2. If the experiment has not been analyzed, NORC will process it automatically.

## tdlr;
After installation, the following commands are available
```bash
pip install .
norc_gui # Launches the GUI
norc_analyze /path/to/experiment     # Analyze results
norc_plot /path/to/experiment        # Generate plots (requires analyze)
norc_rank /path/to/experiment        # Rank metrics (requires analyze)
```