semvec/pypi-packages huggingface dataset:
romy 0.0.10
Python program and library to control Wi-Fi enabled ROMY vacuum cleaners
Requires Python: >=3.10

# romy

Unofficial ROMY python library (SDK).

This library was created for the [Home Assistant ROMY integration](https://www.home-assistant.io/integrations/romy/).

# Installation

```shell
pip install romy
```

# Notes

Unofficial ROMY python library (SDK).

Based on the [local interface protocol](https://www.romyrobot.com/en-AT/romy-robot-interface-protocol)

Currently supported ROMY robots:

ROMY C5

ROMY L6 Performance

ROMY L6 Animal


Only local connections are supported. The local Http Interface must be unlocked.

# Where can I get the password to unlock the local http interface

The 8 digit password is provided under the dustbin of your romy vacuum cleaner. (The QR code provides the password too)
adaMVP 1.0.4
Adaptive AI-Augmented Drug Discovery and Development Molecular Vulnerability Picker
Requires Python: >=3.8

# A3D3a's MVP (adaMVP) python package
A novel graph-based, cooperativity-led Markov chain model, A3D3a’s MVP (Adaptive AI-Augmented Drug Discovery and Development Molecular Vulnerability Picker), to identify and prioritize key druggable molecular vulnerabilities in cancer.
get-params 0.1.1
A package to fetch function arguments from a Python module
Requires Python: >=3.6

# `get-params`
this package allows you to fetch the arguments of a function from a simple search string, matching a function within a module.

## usage
```python
import pandas
loss_fn = find_fn(lib=pandas, module="dataframe")
get_required(loss_fn)
```

Output:
```python
{'src': 'DataFrame.__init__',
  'required': [],
  'optional': ['data', 'index', 'columns', 'dtype', 'copy']}
```

## installation

you can install the package using pip:

```bash
pip install get-params
```

or locally:

```bash
git clone <repo>
cd <repo>
pip install .
```

the package can be useful when you want to be flexible with arguments passed to e.g. a user interface, where you want to call a specific function.
it was developed to handle the many loss functions inside the [`sentence_transformers.losses`](https://github.com/UKPLab/sentence-transformers/blob/master/sentence_transformers/losses/__init__.py).