On a recent collaboration project I have come across a conceptual hurdle that I believe many of you might have insights on. My question revolves around the use of the generic Data type as opposed to dedicated types such as Crv, Int, Str, etc.
From my understanding, using the generic Data type offers flexibility in handling various kinds of inputs without specifying the data type explicitly. Though this seems particularly useful in scenarios where the input type might change or be unknown during the initial stages of design. However, I believe that this approach has its downsides, potentially leading to less control over the data flow and unforeseen errors in more complex definitions. Dedicated types provide a clear structure and predictable behavior, ensuring that the inputs and outputs are precisely what the user expects. Hence I hardly ever seems to use the Data datatype. However my team mate / project collaborator only uses the Data type and renames all his variables to something like “name_str.Data” or name_int.Data when this is important. My quess is that dedicated types can be more efficient performance-wise. Since there’s no need for type checking or casting
Here are some specific points I’m hoping to get your input on:
- What are the primary benefits of using the generic Data type in your workflow?
- Have you encountered any significant limitations or challenges when using the Data type?
- In what situations would you prefer dedicated types over the generic Data type?
- Are there best practices in deciding when to use one approach over the other?
I’m looking to understand the balance between these approaches better and how they affect the efficiency and reliability of a Grasshopper definition. Any examples from your experience or resources for further reading would be greatly appreciated.
Thank you in advance for your insights!