semvec/pypi-packages huggingface dataset:
resultdownloader 1.0.1
Downloads results from RaceTimePro
Requires Python: >=3.10

# Resultdownloader

## Author

Dominik Rappaport, dominik@rappaport.at

## Synopsis

This tool facilitates the download of competition results from the RaceTimePro website. As the platform does not 
provide a native CSV export option, this script addresses that limitation.

## Disclaimer

It should be noted that substantial portions of this script were generated using ChatGPT, with only minor manual 
adjustments required.

## Installation

The resultdownloader is distributed as a Python package. Several installation methods are available.

### Using pip

Executing `pip` installs the package in your current Python environment. Global installation was once possible, but
modern Linux distributions no longer permit this approach.

```bash
pip install resultdownloader
```

### Using pipx or uv

Both `pipx` and `uv` enable global tool installation. The package can be installed as follows:

```bash
pipx install resultdownloader
```

or

```bash
uv tools install resultdownloader
```

## Usage

### Single URL Mode

Download results from a single competition by providing a URL and output filename:

```bash
resultdownloader --url "URL" --output FILE
```

Example:

```bash
resultdownloader --url "https://events.racetime.pro/en/event/1022/competition/6422/results" --output race_results.csv
```

### URL list mode

Download results from multiple competitions by providing a text file containing one URL per line:

```bash
resultdownloader --urllist FILE
```

Example:

```bash
resultdownloader --urllist racelist.txt
```

In this mode, output files are automatically named as `race_EVENT.csv` 
based on the event IDs extracted from each URL.
python-simple-logger 2.0.18
A simple logger for python
Requires Python: >=3.9

# Simple Python logger

A simple logger for console/file logging with duplicate logs filter support

## Release new version

### requirements

- Export GitHub token

```bash
export GITHUB_TOKEN=<your_github_token>
```

- [release-it](https://github.com/release-it/release-it)

Run the following once (execute outside repository dir for example `~/`):

```bash
sudo npm install --global release-it
npm install --save-dev @release-it/bumper
```

### usage

- Create a release

```bash
git pull
release-it # Follow the instructions
```

## Usage

```python
from simple_logger.logger import get_logger
logger = get_logger(name=__name__, level=logging.DEBUG, filename="my-log.log")
logger.info("This is INFO log")
logger.success("This is SUCCESS log")

TOKEN = "1234"
PASS = "pass123"
logger.hash(f"This is my password: {PASS} and this is my token {TOKEN}", hash=[PASS, TOKEN])
>>> This is INFO log
>>> This is SUCCESS log
>>> This is my password: ***** and this is my token *****


# mask sensitive data default words are ["password", "token", "apikey", "secret"]
# Pass mask_sensitive_patterns = ["custom_pattern", "another_pattern"] to change the default patterns to match
hashed_logger = get_logger(name=__name__, mask_sensitive=True)
hashed_logger.info(er = get"This is my password: pass123")
hashed_logger.info(er = get"This is my token tok456!")
hashed_logger.info(er = get"This is my apikey - api#$789")
hashed_logger.info(er = get"This is my secret -> sec1234abc")
>>> This is my password *****
>>> This is my token *****
>>> This is my apikey *****
>>> This is my secret *****

# Force colored output in non-TTY environments (Docker, CI/CD)
# Option 1: Use FORCE_COLOR environment variable
import os
os.environ["FORCE_COLOR"] = "1"  # or set in Dockerfile/docker-compose.yml
logger = get_logger(name=__name__)

# Option 2: Use force_color parameter
logger = get_logger(name=__name__, force_color=True)
```
meteogram 0.1.2
Create meteogram based on data from met.no
Requires Python: >=3.10

# meteogram

!["Docs build"](https://readthedocs.org/projects/meteogram/badge/)
!["Latest version"](https://img.shields.io/pypi/v/meteogram)
![Supported Python versions](https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fraw.githubusercontent.com%2Fmarhoy%2Fmeteogram%2Frefs%2Fheads%2Fmain%2Fpyproject.toml)

Create a meteogram based on data from met.no.

Documentation is available on [Read the Docs](https://meteogram.readthedocs.io/).

Examples:

![Example 1](https://raw.githubusercontent.com/marhoy/meteogram/main/docs/images/meteogram_oslo.png)

![Example 2](https://raw.githubusercontent.com/marhoy/meteogram/main/docs/images/meteogram_snow.png)

![Example 3](https://raw.githubusercontent.com/marhoy/meteogram/main/docs/images/meteogram_small.png)