Repeat

The Repeat concept is implemented as a pair of nodes: Repeat Begin and Repeat End.

• Block Structure: Any graph logic placed between Begin and End is encapsulated.
• Re-evaluation: The subgraph is executed N times.
• Time-Varying: Attributes like u and repeat_index update each iteration, allowing the subgraph to evolve (e.g., getting smaller, rotating, or changing probability).

Concept

Explicit Recursion While Grow has a built-in repeat for convenience, the explicit Repeat block allows for more complex recursive structures. You can wrap multiple nodes (Grows, Splits, Switches) to repeat an entire logic chain.

The Loop

• Begin: Marks the start of the loop.
• End: Defines the exit condition (Repeat Count) and updates loop attributes.
• Fraction: Allows for partial iterations (e.g., growing 3.5 steps).

Inputs

Repeat Begin

• Input 0: Incoming graph.

Repeat End

• Input 0: The subgraph to repeat.

Parameters

Repeat Count The number of times to execute the subgraph.

Fraction A multiplier for the count.

• Fraction = 1.0: Full execution.
• Fraction < 1.0: Limits the realized steps (useful for animating growth).

Delay Offsets the start of the repetition, useful for staggering growth across different branches.

Attributes

Workflow

1. Place a Repeat Begin node.
2. Build your subgraph (e.g., a Grow node set to single-step, followed by a Split).
3. Terminate with a Repeat End node.
4. Set Repeat Count on the End node.
5. Use the u attribute inside the subgraph to drive parameters (e.g., map Width to u so the repeated segments taper).

Related Nodes