Predicting Machine
A Machine that predicts the importance of facts.
In order to launch it from command line or as a subprocess:
echo "Theodotos-Alexandreus: Is this important, machine?" \
| uvx predicting-machine \
--provider-api-key=sk-proj-... \
--github-token=ghp_...
Or:
pip install predicting-machine
Then:
# Python
import predicting_machine
Metadata
Release files for predicting-machine 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| predicting_machine-0.0.1.tar.gz | 14.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| predicting_machine-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.2 kB
Release files / predicting_machine-0.0.1.tar.gz
| Download URL | predicting_machine-0.0.1.tar.gz |
|---|---|
| Size | 14.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.9.25
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Release files / predicting_machine-0.0.1-py3-none-any.whl
| Download URL | predicting_machine-0.0.1-py3-none-any.whl |
|---|---|
| Size | 21.3 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Security for predicting-machine 0.0.1
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