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A Node-RED flow describes the connection and sequencing of various input, output, and processing nodes within the Node-RED platform. Each node within a flow performs a unique and specific task. When data is transmitted to a node, the node processes it according to its designated function, before passing it on to the subsequent node in the flow.
A red–black tree is a balanced binary search tree in which each node has a color (red or black), satisfying the following properties: External nodes are black. If an internal node is red, its two children are both black. All paths from the root to an external node have equal numbers of black nodes.
Split the remaining 3-node up into a pair of 2-nodes (the now missing middle value is handled in the next step). If this is the root node (which thus has no parent): the middle value becomes the new root 2-node and the tree height increases by 1. Ascend into the root. Otherwise, push the middle value up into the parent node.
The root node has at least two children unless it is a leaf. All leaves appear on the same level. A non-leaf node with k children contains k−1 keys. Each internal node's keys act as separation values which divide its subtrees. For example, if an internal node has 3 child nodes (or subtrees) then it must have 2 keys: a 1 and a 2.
Visit the current node (in the figure: position red). Recursively traverse the current node's left subtree. Recursively traverse the current node's right subtree. The pre-order traversal is a topologically sorted one, because a parent node is processed before any of its child nodes is done.
The new node may invalidate the red–black invariant because at most three red nodes can appear in a row. This can be fixed with a double rotation. If double red issue propagates to the root, the root is then set to be black, restoring the properties. The cost of this function is the difference of the black heights between the two input trees.
Exploring all n nodes of the tree visits each link exactly twice: one downward visit to enter the subtree rooted by that node, another visit upward to leave that node's subtree after having explored it. Once a node has been found in an AVL tree, the next or previous node can be accessed in amortized constant time.
An internal node (also known as an inner node, inode for short, or branch node) is any node of a tree that has child nodes. Similarly, an external node (also known as an outer node, leaf node, or terminal node) is any node that does not have child nodes. The height of a node is the length of the longest downward path to a leaf from that node ...