Python facade

Easy to use python facade

Using Python as a scripting language can be highly convenient for developing scripts and integrating our analysis into other processes. However, learning a framework as complex as flamapy can initially seem overwhelming. To alleviate this, flamapy provides a straightforward method for executing the most common operations in Python.

After installing flamapy we can use the tool as easy as

from flamapy.interfaces.python.flamapy_feature_model import FLAMAFeatureModel
# Load the feature model
fm = FLAMAFeatureModel("path/to/feature/model")
# This method could be called with the param  with_sat: bool = True if you want to force pysat (useful for WASM enviroments) 
result = fm.satisfiable() 
print(result)

As you might notice, this interface is heavily inspired in the way FAMILIAR worked in the java 6 years

Supported operations

You can find a comprehensive list of the supported operations for the command line and code snipets if you want to run them:

• Atomic Sets
• Average Branching Factor
• Commonality
• Configurations
• Number of Configurations
• Conflict Detection
• Core Features
• Count Leafs
• Dead Features
• Estimated Number of Configurations
• False Optional Features
• Feature Ancestors
• Filter
• Leaf Features
• Max Depth
• Satisfiable
• Satisfiable Configuration
• Unique Features