semvec/pypi-packages huggingface dataset:
logmaster-pro 1.0.2
Advanced colorful logger with caller tracking
License: MIT
Requires Python: >=3.8

# 🚀 LogMaster - Advanced Python Logging Toolkit

![LogMaster Demo](https://via.placeholder.com/800x400?text=Colorful+Logging+Output+Demo)  
*Colorful, configurable logging with caller tracking and rich features*

## 🔍 Overview
**LogMaster** is a powerful logging library designed for modern Python applications. It provides:

- 🌈 **Color-coded output** with 15+ predefined log levels
- 📍 **Automatic caller detection** (file + line number)
- ⚙️ **Custom log levels** and colors
- 📁 **File logging** with rotation support
- 🧵 **Thread-safe** operations
- 🚦 **Level thresholding** to filter logs by severity
- ⚡️ **Lightweight** with zero dependencies

---

## 📦 Installation

To install **LogMaster**, simply run the following command:

```bash
pip install logmaster-pro

### Quick Start

from logmaster import LogMaster

log = LogMaster(name="example_logger", log_file="example.log")

log.info("This is an info message.")
log.error("An error occurred!")

---

### 📋 Steps:

1. **Create a new file** in your project’s root directory (if it doesn’t exist already) named `README.md`.
2. **Copy** and **paste** the content I provided above into the `README.md` file.
3. **Save** the file.

---

### ✅ What You Have Now:
- **Clear Overview** of what LogMaster does.
- **Installation instructions** for easy setup.
- **Quick Start guide** with a simple example of usage.
- **License info** to inform users about the MIT License.

Now, your README is complete! Feel free to update the demo image link with a real one when you have the actual demo image.
qbitnum 0.1.3
Quantum‐inspired numeric data type for probabilistic arithmetic
License: MIT
Requires Python: >=3.7
Keywords: quantum qubit probabilistic arithmetic

# qbitnum

**Quantum‐Inspired Numeric Data Type for Classical Python**

`qbitnum` provides a `QBitNum` class that simulates qubit‑like superposition for integer/float values, letting you perform probabilistic arithmetic in pure Python.

## Features

- Store distributions of possible values with associated probabilities  
- Support `+`, `-`, `*`, `//` (and extendable) operations over superposed states  
- Post‑operation “collapse” in three modes:
  - **mean**: expected value  
  - **max**: most likely value  
  - **sample**: random draw by probability  

## Installation

```bash
pip install qbitnum

from qbitnum import QBitNum

# Create superposed values
q1 = QBitNum([(1, 0.5), (2, 0.5)])
q2 = QBitNum([(3, 0.7), (4, 0.3)])

# Add them
q3 = q1 + q2
print(q3)  
# QBitNum({4: 0.35, 5: 0.5, 6: 0.15})

# Collapse to a single value:
print(q3.collapse('mean'))   # 4.8
print(q3.collapse('max'))    # 5
print(q3.collapse('sample')) # 4 or 5 or 6 (random)

class QBitNum:
    def __init__(self, states: List[Tuple[Number, float]]):
        """
        states: list of (value, probability), probabilities need not sum to 1.
        """
    def __add__(self, other: QBitNum) -> QBitNum:  # likewise -, *, //
    def collapse(self, mode: str = 'mean') -> Number
        """
        mode in {'mean', 'max', 'sample'}
        """