semvec/pypi-packages huggingface dataset:
tm-cli 0.1.0
TensorMesh CLI tool suite
Requires Python: >=3.9

# Installation

```python
pip install tm-cli
```

# CLI Tree Overview

1. `tm-cli benchmark`
2. ...

## 1. TensorMesh SaaS Cost-Saving Benchmark

`tm-cli benchmark --endpoint "http://89.169.111.29:30080/" --api-key "vllm_sk_555a1b7ff3e0f617b1240375ea411c2a5f08d2666fcdc718075f66c9"`

The model at the endpoint will automatically be discovered and the benchmark will run ad infinitum. 

### Discovery and Configuration: 

```text
endpoint: http://localhost:8000/v1/
found model: Qwen/Qwen3-30B-A3B-Instruct-2507
offload_size: 100
Workload Specifications:
Model: Qwen/Qwen3-30B-A3B-Instruct-2507
Number of Contexts: 30
Number of Questions per Context: 30
Max Inflight Requests (Load-Balancing): 10
Input Length: 32000
Output Length: 100
```

Continually send M long contexts that will always have N randomly generated questions appended to them.

Hardcoded Configurations:

- 32k token context length
- 100 token output length
- TensorMesh SaaS configurations in: `src/benchmark/model_configs.json`

Discovered Configurations:

- Model name (must be one of the ones supported by LMIgnite inside of model_configs.json)
- Number of contexts
- Number of questions per context
- Maximum Inflight Requests

### Refreshing Logs every 5 seconds

```text
Elapsed Time: 165.0652596950531
Total Number of Requests Processed: 280
QPS: 1.696298788232491
Global Average TTFT: 3.77425986954144
Global Average ITL: 0.01485872107813842
Global Average Prefill Throughput: 22871.74402415523
Global Average Decode Throughput: 104.11856198232987
Requests Processed in Interval: 0
Interval Average TTFT: 2.5995567440986633
Interval Average ITL: 0.012132209007956864
Interval Average Prefill Throughput: 25740.820827727515
Interval Average Decode Throughput: 90.82104365217528
```

## 2. ...
blackprint-rc 0.2.0
Blackprint Engine remote control feature for Python
Requires Python: >=3.10

# Blackprint - Remote Control
This module will provide an ability for Blackprint to control engine remotely and can be used for multi-user collaboration

> ⚠️ **Production Warning**<br>
> This module is **not intended for production use** without proper security measures. If you plan to ship this feature in a production environment, you must implement:
>
> - **Sandboxed Environment**: Isolate the remote control functionality in a secure sandbox
> - **Permission-Based System**: Implement proper authentication and authorization
> - **Input Validation**: Validate all incoming remote commands and data
> - **Rate Limiting**: Prevent abuse and denial-of-service attacks
> - **Secure Communication**: Use encrypted connections and proper certificate validation
>
> **Recommendation**: Remove this feature entirely from production builds unless you have implemented comprehensive security measures and understand the risks involved. Remote control capabilities can expose your application to significant security vulnerabilities if not properly secured.

Any ports data flow for sketch will be disabled if it's connected to remote engine. It's not recommended to combine different data flow between `remote <~> remote` in just one instance, you should create two different instance for them and use feature from other module/library to sync data between the two instance itself.

Please try `example/remote-engine.py` if you want to create a remote engine instance. You will need to load your nodes/module from the `.py` and connect to Blackprint Editor `Menu -> Remote -> Engine`. Then you will need to sync the nodes with `Menu -> Remote -> Sync -> PuppetNode`.

# License
MIT License
omegascript 1.0.0
A multifunctional Python module integrating OS, Web, GUI, SQL, Media, and Security capabilities.
Requires Python: >=3.8

# OmegaScript Python Module

OmegaScript is a powerful multi-purpose Python framework designed by **Ibrahim Shahid**.  
Originally intended as a standalone programming language, it evolved into an all-in-one Python module that integrates:

- Operating System automation  
- Web utilities  
- Number systems and encryption  
- SQL database management  
- Media playback (image, audio, video)  
- GUI creation using Kivy  
- Networking (IP, FTP)  
- HTML, CSS, and JavaScript preview with Flask

---

## 🚀 Features

- **OS Operations:** File/folder creation, deletion, speech synthesis, and voice input  
- **Web Utilities:** Open websites, check connectivity, and fetch HTML content  
- **Security Suite:** Hashing, encoding, decoding, Caesar & XOR encryption  
- **SQL Database:** Create, select, update, and export data using SQLite and Pandas  
- **Networking:** IP info, DNS resolution, FTP operations with upload/download support  
- **GUI System:** Build modern GUI applications via Kivy components  
- **Media Control:** Play audio, view images and videos with playback controls  
- **HTML/CSS/JS Preview:** Flask-based live web preview  

---

## 🧠 Example Usage

```python
from omegascript import *

# OS Operations
sys = OS()
sys.create_file("example.txt", "Hello OmegaScript!")

# Web Operations
web = Web()
print(web.is_on_web())

# GUI Example
gui = omegaGUI()
gui.title("Demo App").bgcolor("#FFFFFF").run()
⚙️ Installation
bash
Copy code
pip install omegascript
Or manually:

bash
Copy code
python setup.py install
🧩 Requirements
Python ≥ 3.8

Kivy

Flask

OpenCV (cv2)

PyGame

SpeechRecognition

pyttsx3

pandas

requests

Install all dependencies:

bash
Copy code
pip install -r requirements.txt
🧑‍💻 Developer
Name: Ibrahim Shahid
Role: Software Engineer
Email: ibrahimshahid7767@gmail.com
Project: NeuraPython & OmegaScript

📄 License
This project is distributed under the MIT License.
You are free to modify and redistribute with attribution.