#865 Code Interpreter of TinyGP Application

#865 Code Interpreter of TinyGP Application

#865 Provide the call-tree for the following Python application: "# tiny genetic programming by © moshe sipper, www.moshesipper.com ..."

Here is the call tree for the provided Python program:

main

├── seed

├── init_population

│   ├── GPTree

│   │   ├── random_tree

│   │   │   ├── GPTree (recursion)

│   │   │   │   └── random_tree (recursion)

│   │   │   └── GPTree (recursion)

│   │   │       └── random_tree (recursion)

├── fitness (initial population fitness)

│   └── GPTree.compute_tree

├── for gen in range(GENERATIONS)

│   ├── for i in range(POP_SIZE)

│   │   ├── selection

│   │   │   └── deepcopy

│   │   ├── selection

│   │   │   └── deepcopy

│   │   ├── GPTree.crossover

│   │   │   ├── GPTree.scan_tree

│   │   │   │   └── GPTree.build_subtree (recursion)

│   │   │   └── GPTree.scan_tree (recursion)

│   │   └── GPTree.mutation

│   ├── fitness (new population fitness)

│   │   └── GPTree.compute_tree

│   └── if max(fitnesses) > best_of_run_f

│       ├── deepcopy

│       └── GPTree.print_tree

└── GPTree.print_tree

Note: The random_tree method in the GPTree class can call itself recursively, and this is represented as (recursion) in the tree. The same applies to scan_tree and build_subtree methods. The compute_tree method could also potentially call itself recursively if the tree's data is in INDICATORS, but this is not represented in the tree as INDICATORS is empty in the provided script.



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