bbqsearch
bbqsearch is a simple, configurable, queue-based search algorithm intended for AI teaching.
Status: Experimental research and teaching tool.
The package is designed primarily for use in interactive environments such as a Jupyter notebook or in Google Colab, providing a simple interface for running Prover9 from Python code and capturing the resulting proofs and diagnostic output.
Installation
pip install bbqsearch
Metadata
Release files for bbqsearch 0.1.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bbqsearch-0.1.22.tar.gz | 245.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bbqsearch-0.1.22-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 492.2 kB
Release files / bbqsearch-0.1.22.tar.gz
| Download URL | bbqsearch-0.1.22.tar.gz |
|---|---|
| Size | 245.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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Release files / bbqsearch-0.1.22-py3-none-any.whl
| Download URL | bbqsearch-0.1.22-py3-none-any.whl |
|---|---|
| Size | 247.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|