- Python module to visualize a recursion as a tree with arguments and return values at each node.
- Provides a decorator to instrument target functions (as opposed to trace or debugger based approaches)
- Uses pygraphviz to render the graph.
- Use the @viz decorator to instrument the recursive function.
- Render the recursion with
The output file type is derived from the file name. Supported types include .dot (graphviz dot file), .png (png image), .svg (vector graphic)
from rcviz import callgraph, viz @viz def quicksort(items): if len(items) <= 1: return items else: pivot = items lesser = quicksort([x for x in items[1:] if x < pivot]) greater = quicksort([x for x in items[1:] if x >= pivot]) return lesser + [pivot] + greater print quicksort( list("helloworld") ) callgraph.render("sort.png")
- The edges are numbered by the order in which they were traversed by the execution.
- The edges are colored from black to grey to indicate order of traversal : black edges first, grey edges last.
Show intermediate values of local variables in the output render by invoking decoratedfunction.track(param1=val1, param2=val2,...). In the quicksort example above you can track the pivot with:
pivot = items quicksort.track(the_pivot=pivot) # shows a new row labelled the_pivot in each node
This requires graphviz and pygraphviz to work.
$sudo apt-get install graphviz libgraphviz-dev
$sudo python setup.py install
Tested on python 2.7.3
Setup script by adampetrovic.