wff
Python library for building and working with propositional formulas.
Package Installation and Usage
The package is available on PyPI:
python -m pip install wff
The library can be imported in the usual way:
import wff from wff import *
Unit tests can be executed using doctest:
python wff/wff.py -v
Metadata
Release files for wff 0.0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| wff-0.0.0.1.tar.gz | 2.8 kB | Without provenance | Details for wff-0.0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| wff-0.0.0.1-py3-none-any.whl | Python 3 | none | any | Details for wff-0.0.0.1-py3-none-any.whl |
Total release size: 6.6 kB
Release files / wff-0.0.0.1.tar.gz
| Download URL | wff-0.0.0.1.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.8.0
|
Release files / wff-0.0.0.1-py3-none-any.whl
| Download URL | wff-0.0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.8 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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.8.0
|
Security for wff 0.0.0.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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