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
1 maintainer
Metadata
1 maintainer
Release files for bbqsearch 0.1.26
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-0.1.26.tar.gz | 123.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bbqsearch-0.1.26-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 246.3 kB
Release files / bbqsearch-0.1.26.tar.gz
| Download URL | bbqsearch-0.1.26.tar.gz |
|---|---|
| Size | 123.3 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
|
Release files / bbqsearch-0.1.26-py3-none-any.whl
| Download URL | bbqsearch-0.1.26-py3-none-any.whl |
|---|---|
| Size | 123.0 kB |
| Tags | Python 3 |
|
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/7.0.0 CPython/3.13.15
|
