flamapy-fm
The feature model metamodel plugin for flamapy: the feature model classes plus readers and writers for many formats (UVL, FeatureIDE, Glencoe, AFM, SPLOT, JSON, …).
Documentation: https://docs.flamapy.org/framework/plugins/feature_model_plugin
Installation
pip install flamapy-fm
Operations
Beyond the metrics/analysis operations (core/dead features, atomic sets, branching factor, …), this plugin includes a random feature-model generator:
GenerateRandomFeatureModel— builds a random syntheticFeatureModelobject directly (random tree of mandatory/optional/or/alternative groups plus random cross-tree constraints; an optionalvoidflag makes it unsatisfiable). Useful for benchmarking, testing, and building corpora for learning-based operations. Serialize it to UVL (or any format) with the writer transformations if you need text.
from flamapy.metamodels.fm_metamodel.operations import GenerateRandomFeatureModel
op = GenerateRandomFeatureModel()
op.set_num_features(20)
op.set_max_constraints(5)
op.set_seed(0)
fm = op.execute().get_result() # -> FeatureModel
1 maintainer
Metadata
1 maintainer
Release files for flamapy-fm 2.6.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| flamapy_fm-2.6.0.tar.gz | 60.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| flamapy_fm-2.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 149.2 kB
Release files / flamapy_fm-2.6.0.tar.gz
| Download URL | flamapy_fm-2.6.0.tar.gz |
|---|---|
| Size | 60.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / flamapy_fm-2.6.0-py3-none-any.whl
| Download URL | flamapy_fm-2.6.0-py3-none-any.whl |
|---|---|
| Size | 88.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.11.15
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Security for flamapy-fm 2.6.0
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