Supernova Mathos V6.1
NumPy-only arithmetic model using learned digit transitions.
from supernova_mathos import mathos
math = mathos()
print(math.add(27, 15))
print(math.subtract(89, 34))
print(math.multiply(12, 13))
print(math.divide(144, 12))
print(math.calculate("2 + 3 * 4"))
The divide() method returns (quotient, remainder).
calculate() returns an exact Fraction result where appropriate.
The package loads bundled trained weights and does not train during import.
The reported stress-test results apply to the particular test suite executed
by the project author; they do not establish correctness for every possible
input. This project uses a custom license; see LICENSE.md.
Metadata
Release files for supernova-mathos 6.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| supernova_mathos-6.1.0.tar.gz | 66.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| supernova_mathos-6.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 132.0 kB
Release files / supernova_mathos-6.1.0.tar.gz
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