semvec/pypi-packages huggingface dataset:
padawan 0.14
Wrangle partitioned data with polars.
Requires Python: >=3.7

# padawan

Wrangle partitioned data with polars.

## Installation

```bash
$ pip install padawan
```

## Documentation

[padawan](https://github.com/mwiebusch78/padawan) is a tool for out-of-core
processing of partitioned tabular datasets which are too large to hold
completely in memory. It uses
[polars](https://pola-rs.github.io/polars/py-polars/html/index.html) for
representing and manipulating tabular data in memory and the parquet format
for storing partitions on disk.

The full documentation is hosted at
[readthedocs.io](https://padawan.readthedocs.io/en/latest/).
random-byte-array 0.1.0a0
A lightweight Python utility for generating random byte arrays.
Requires Python: >=2

# Random Byte Array

A lightweight Python utility for generating random byte arrays.

## Features

- Simple, dependency-free implementation
- Useful for testing, simulations, and data generation
- Supports Python 2+

## Installation

```bash
pip install random-byte-array
```

## Usage

```python
from random_byte_array import random_byte_array

# Generate a random bytearray
data = random_byte_array()
# Example output: bytearray(b'\x12\xa3\x7f\x00\xe4...')
```

## How It Works

The algorithm:
1. Generates values in range `[0, 256]`
2. Appends values `0-255` as bytes
3. Stops when encountering 256 (≈0.39% chance per iteration)

Average output size: ~255 bytes (geometric distribution)

## Use Cases

- Test data for binary protocols
- Fuzz testing
- Cryptographic simulations
- Generating random binary payloads

## Contributing

Contributions are welcome! Please submit pull requests or open issues on GitHub.

## License

MIT
indico-plugin-prometheus 3.3.2
Prometheus metrics in Indico servers
Requires Python: <3.13,>=3.12.2

# Indico Prometheus Plugin

This plugin exposes a `/metrics` endpoint which provides Prometheus-compatible output.

![](https://raw.githubusercontent.com/indico/indico-plugins/master/prometheus/screenshot.png)

## prometheus.yml
```yaml
scrape_configs:
  - job_name: indico_stats
    metrics_path: /metrics
    scheme: https
    static_configs:
      - targets:
        - yourindicoserver.example.com
    # it is recommended that you set a bearer token in the config
    authorization:
        credentials: xxxxxx
    # this is only needed in development setups
```

If you're doing development you may want to add this under `scrape_configs`:
```yaml
    tls_config:
      insecure_skip_verify: false
```

## Changelog

### 3.3.2

- Fix errors if livesync plugin is installed but not enabled and do not expose livesync-related
  metrics at all in that case
- Use latest prometheus-client library

### 3.3.1

- Use latest prometheus-client library
- Ensure that only one `Content-type` header (`text/plain`) is sent

### 3.3

- Support (and require) Python 3.12

### 3.2.1

- Support Python 3.11
- Use latest prometheus-client library

### 3.2

- Initial release for Indico 3.2