semvec/pypi-packages huggingface dataset:
bespokelang 1.2.6
Run programs written in the Bespoke esolang.
Requires Python: >=3.10

# bespokelang

Run programs written in the Bespoke esolang.

## Installation

`bespokelang` is installable from PyPI:

```bash
pip install --upgrade bespokelang
```

## What is Bespoke?

Bespoke is an [esoteric programming language](https://esolangs.org/wiki/Esoteric_programming_language)
I created in January 2025, based loosely on my earlier language [Poetic](https://esolangs.org/wiki/Poetic_(esolang)).
The goal was to use the same encoding process as Poetic, but change the
underlying structure of the language into something tolerable to write programs
with.

I'm very happy with what I came up with; it's been a delight to write the
included example programs, and they were _much_ easier to write than most of the
Poetic programs I've ever written.

## Features of Bespoke

- Imperative paradigm
- Arbitrary precision integers
- A stack, for temporary number storage
- A "heap", for permanent number storage
- IF statements, looping, and _functions_!
- Comments (which _weren't_ in Poetic, technically)
- Flexible syntax based on word lengths (e.g. `PUSH SEVENTH` = `tiny pythons`)

## Documentation

Documentation can be found [on the GitHub wiki](https://github.com/WinslowJosiah/bespokelang/wiki/Documentation)
for this project. A tutorial on how to use each feature of the language is also
[on the wiki](https://github.com/WinslowJosiah/bespokelang/wiki/Tutorial).

## Changelog

### v1.2.6 (2025-09-05)

- Make `DO ROT`/`DO ROTINVERSE` with negative numbers behave as documented

### v1.2.5 (2025-02-16)

- Fixed bug where `Undefined function` would not show the function which was
undefined
- Improved auto-flushing of output buffer

### v1.2.4 (2025-02-06)

- Program is now assumed to be in UTF-8

### v1.2.3 (2025-02-03)

- Fixed behavior of `DO ROTINVERSE` with an argument outside the range from 1 to
the stack size

### v1.2.2 (2025-02-03)

- Fixed behavior of `DO TURNOVERN` with an argument of 0

### v1.2.1 (2025-02-02)

- Fixed behavior of `CONTROL B` and `CONTROL RETURN` when not nested
- The output buffer is now flushed every 0.5 seconds

### v1.2.0 (2025-01-31)

- Added `--debug` option to CLI, for displaying stack/heap contents after
program execution
- Added `BespokeInterpreter.from_file()` method
- Fixed bug where `Specifier was expected, but none found` would not show the
command which expected a specifier
- Fixed behavior of `STACKTOP POW` with a second argument of 0
- `BespokeInterpreter` no longer writes error message to STDERR when used as a
context manager
- Many properties of `BespokeInterpreter` objects are now private, or have
getters/setters
- CLI now handles file-opening errors

### v1.1.0 (2025-01-17)

- Changed `CONTROL RESETLOOP` to `CONTROL OTHERWISE`

### v1.0.2 (2025-01-15)

- Fixed error on empty program
- Fixed behavior of `CONTINUED` numbers

### v1.0.1 (2025-01-15)

- Fixed behavior of `DO ROT` and `DO ROTINVERSE` with negative numbers

### v1.0.0 (2025-01-13)

Initial release.
ml-profiler 0.3.1
Automated ML profiling and reporting tool

# ML Profiler

**ML Profiler** is a lightweight Python library that automates machine learning profiling and reporting. It helps you understand your dataset, preprocess it, select models, evaluate performance, and generate explainability insights—all in one line.

## 🔧 Features

- 📊 Data summary and missing value analysis
- 🧼 Preprocessing suggestions (encoding, scaling)
- 🧠 Auto model selection (classification/regression)
- 📈 Model training and evaluation
- 🔍 SHAP-based explainability
- 📄 HTML report generation

## 🚀 Installation

```bash
pip install ml-profiler
ai-isometric-extractor 0.1.2
YOLOv8 + Keras based isometric diagram extraction
Requires Python: >=3.8

# AI-Based Isometric Diagram Extraction

AI-Based Isometric Diagram Extraction is a Python package for extracting
meaningful structures from isometric diagrams using deep learning
models. It leverages pre-trained models such as YOLO and anomaly
detection autoencoders to detect, clean, and analyze diagrammatic
representations.

## Features

-   **Object Detection**: Uses YOLO-based model (`best.pt`) to identify
    components in isometric diagrams.\
-   **Anomaly Detection**: Uses autoencoder-based anomaly detection
    (`anomaly.keras`, `my_model.keras`).\
-   **Diagram Cleaning**: Removes noise and enhances extracted
    diagrams.\
-   **Easy Inference**: Run inference on any diagram image with a single
    function call.\
-   **Extensible**: Future support for fine-tuning models on custom
    datasets.

## Installation

You can install the package directly from source:

``` bash
git clone https://github.com/nbeeeel/AI_Based_Isometric_Diagram_Extraction.git
cd AI_Based_Isometric_Diagram_Extraction
pip install .
```

Or after publishing to PyPI:

``` bash
pip install ai-isometric-extractor
```

## Usage

### Python API

``` python
import ai_isometric_extractor as ai

# Run inference on an image
ai.run_inference("Test Pictures/334D92461.jpg")
```

### CLI (coming soon)

``` bash
ai-extractor input.jpg --output results/
```

## Project Structure

    AI_Based_Isometric_Diagram_Extraction/
    │── ai_isometric_extractor/
    │   ├── __init__.py
    │   ├── main.py
    │   ├── models/
    │   │   ├── best.pt
    │   │   ├── anomaly.keras
    │   │   ├── my_model.keras
    │── README.md
    │── pyproject.toml
    │── requirements.txt
    │── LICENSE

## Roadmap

-   [x] Initial package setup\
-   [x] Support for YOLO + Autoencoder models\
-   [ ] CLI support\
-   [ ] Fine-tuning on custom datasets\
-   [ ] Extended visualization tools

## License

This project is licensed under the MIT License - see the
[LICENSE](LICENSE) file for details.

## Author

**Nabeel Ahmed**\
[GitHub Profile](https://github.com/nbeeeel)
agentstr-sdk 0.6.15
Python SDK for building decentralized agentic applications on Nostr.
Requires Python: >=3.10

# ✨ Agentstr SDK

[![Docs](https://img.shields.io/badge/docs-online-blue.svg)](https://docs.agentstr.com)
[![PyPI](https://img.shields.io/pypi/v/agentstr-sdk)](https://pypi.org/project/agentstr-sdk/)
[![License](https://img.shields.io/badge/license-MIT-green)](LICENSE)

[agentstr.com](https://agentstr.com)

> Build decentralised agents on the **Nostr** + **Lightning** stack with one super-friendly Python package.

---

## 📖 Documentation
Everything – installation guide, tutorials, SDK reference, CLI reference – lives at **[docs.agentstr.com](https://docs.agentstr.com)**.

## ⚡ Quick install
```bash
pip install "agentstr-sdk[all]"   # or: uv add agentstr-sdk[all]
```

## 🚀 Examples
Run any of the ready-to-go demos in [`examples/`](examples):


| Example | Framework |
|---------|-----------|
| [agent_discovery.py](examples/agent_discovery.py) | Agent discovery |
| [chat_with_agents.py](examples/chat_with_agents.py) | Direct messaging |
| [commands_client.py](examples/commands_client.py) | Command client |
| [commands_server.py](examples/commands_server.py) | Command server |
| [mcp_client.py](examples/mcp_client.py) | Nostr MCP Client |
| [mcp_server.py](examples/mcp_server.py) | Nostr MCP Server |
| [nostr_agno_agent.py](examples/nostr_agno_agent.py) | Agno |
| [nostr_dspy_agent.py](examples/nostr_dspy_agent.py) | DSPy |
| [nostr_google_agent.py](examples/nostr_google_agent.py) | Google ADK |
| [nostr_langgraph_agent.py](examples/nostr_langgraph_agent.py) | LangGraph |
| [nostr_openai_agent.py](examples/nostr_openai_agent.py) | OpenAI |
| [nostr_pydantic_agent.py](examples/nostr_pydantic_agent.py) | PydanticAI |
| [rag.py](examples/rag.py) | RAG / Retrieval |
| [tool_discovery.py](examples/tool_discovery.py) | Tool discovery |

```bash
uv run examples/nostr_dspy_agent.py
```

## 🤝 Contributing
PRs are welcome! Open an issue first to discuss your idea.

## ⚖️ License
MIT