semvec/pypi-packages huggingface dataset:
weatherutilv1 0.1.0
A sample package containing basic data stat methods
Requires Python: <4,>=3.12.4

# WeatherUtil
This module includes methods to get data from a table and parse statistical values from it.

## Methods
### get_data()
`get_data()` returns a pandas DataFrame object. It takes one optional string parameter specifying the location of a csv file for it to pull data from, but otherwise it will default to `weather_data.csv`.

### mean(), median(), mode(), range()
These methods each take two arguments. First is a weather DataFrame object, second is a column to extract the data from. The column options are: 'temperature', 'humidity', 'precipitation', and 'windspeed'.
litewave-audit-lib 0.1.11
A lightweight audit logging library with pluggable backends
Requires Python: >=3.7

# Litewave Audit Library

Internal audit logging library for Litewave services.

## Usage

```python
from litewave_audit_lib.log_factory import get_logger

# Get a logger with NATS backend
logger = get_logger(
    nats_connection_url="nats://username:password@your-nats-server:4222"
)

# Log an audit event
logger.log(
    who="user@email.com",
    resource="document",
    action="view",
    location="cloud",
    request_context={"ip": "127.0.0.1"},
    context={"document_id": "doc123"},
    client={}
)

## Features

- Automatic reconnection handling
- Connection retry logic
- Proper error handling and logging
- Type hints for better IDE support
- Automatic cleanup of NATS connections

## Dependencies

- nats-py (for NATS backend)