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Combine two float lists into one unified list for streamlined data aggregation and operations.
The Join Float Lists node is designed to seamlessly combine two lists of floating-point numbers into a single, unified list. This node is particularly useful when you need to aggregate data from multiple sources or when you want to perform operations on a consolidated list of float values. By joining these lists, you can streamline your workflow, reduce complexity, and ensure that all relevant data is processed together. The node operates by taking two separate lists of floats and appending the second list to the first, resulting in a single list that contains all the elements from both inputs. This functionality is essential for tasks that require comprehensive data analysis or manipulation, as it allows you to handle larger datasets efficiently and effectively.
This parameter represents the first list of floating-point numbers that you want to join. It is a required input, meaning that you must provide a list of floats for the node to function correctly. The list can contain any number of float values, and there are no specific constraints on the minimum or maximum values of the floats themselves. The primary role of this parameter is to serve as the initial list to which the second list will be appended.
This parameter is the second list of floating-point numbers that you wish to join with the first list. Like In1, this is also a required input, and you must provide a list of floats for the node to execute its function. The list can include any number of float values, and there are no restrictions on the range of these values. The purpose of this parameter is to provide the additional float values that will be appended to the list specified in In1, resulting in a combined list.
The output parameter, Joined, is the resulting list of floating-point numbers after the two input lists have been combined. This list contains all the elements from both In1 and In2, with the elements of In2 appended to the end of In1. The Joined list is crucial for further processing or analysis, as it provides a comprehensive dataset that includes all the float values from the input lists. This output allows you to perform operations on a single, unified list, simplifying your workflow and enhancing data management.
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