This package contains a very tiny implementation of a directed tree, where each node contains list-like data.

Install

pip install git+https://github.com/MrHedmad/bonsai.git

Use

from bonsai import Tree

# Make a new tree
tree = Tree()

# Add new nodes with `create_node(name, parent, data)
# The first node cannot have a parent. There must only be one parentless (root)
# node in the tree.
# The function returns the UUID of the created node.
root_id = tree.create_node("root", None)
# Create a node with data
tree.create_node("node_with_data", root_id, ["some", "list-like", "data"])

Once the tree has some nodes, you can run manipulations on it:

• Copy, slice and dice the tree:
  • clone(): Return a copy of the tree.
  • subset(node_id): Return a branch of the tree starting from node_id.
• Add or remove branches:
  • paste(other_tree, node_id, update_data): Paste a tree to this tree as a branch from node_id, optionally updating the data in the node_id with the one in the root of the pasted node.
  • prune(node_id): Remove the branch from node_id (inclusive).
• Retrieve nodes:
  • all_nodes(): Get an iterator of node_id/Node pairs.
  • root: Get the root of the tree.
  • get_nodes_named(name): Get a list of nodes with name.
  • get_one_node_named(name): Get a single node with name name, or die trying.
  • leaves: Get a list of all leaf nodes in the tree.
  • get_parent(node_id): Get the parent node of node_id.
  • get_path_of(node_id): Get a list of IDs from the root to the node_id, included.
  • get_paths(): Get all paths from the root to all the leaves, as a list of tuples.
  • get_direct_children(node_id): Get all the children of the node at depth = 1.
• Update the information of existing nodes:
  • update_data(node_id, new_data): Update the data of node_id with new_data.
  • update_name(node_id, new_name): Update the name of node_id to new_name.
• Get information regarding the nodes:
  • is_leaf(node_id): true if node_id is a leaf.
  • depth_of(node_id): Get the depth of the node_id as an int.
  • has_ancestor(node_id, ancestor_id): Return true if ancestor_id is a parent of node_id.
• Save the tree to disk:
  • to_files(out_dir): Save the tree as a series of folders within folders.
  • to_adjacency_matrix(out_stream): Save the adjacency matrix of the tree.
  • to_node_json(out_stream): Save the list of nodes of this tree, along with the data, in a JSON file.
  • to_representation(out_stream): Save a representation of the tree, like calling tree on a directory.
• Load the tree from disk:
  • from_node_list(): Load a JSON file with the node data.