TurboGraph: Lightweight Dependency-Driven Computation#
TurboGraph is a simple Python library, for defining and computing values based on dependencies. It is based on the lightweight igraph package. It automatically builds a dependency graph from function argument names or explicit specifications, ensuring computations run in the correct order.
Here’s a simple example showing how TurboGraph automatically infers dependencies:
from turbograph import compute
specifications = {
"a": 2,
"sum": lambda a, b: a + b, # Depends on "a" and "b"
}
result = compute(specifications, ["sum"], {"b": 3})
print(result) # {"sum": 5}
TurboGraph analyzes the function signatures and determines that "sum" depends on "a" and "b",
executing the computations in the correct order.
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