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Modify list size to match batch size, ensuring data consistency and simplifying data preparation for processing or analysis.
The AK_AdjustListSize
node is designed to modify the size of a list of floating-point numbers to match a specified batch size. This node is particularly useful when you need to ensure that your data lists conform to a specific length, either by trimming excess elements or by padding the list with additional values. The primary goal of this node is to provide flexibility in data handling, allowing you to maintain consistency across different data sets or processing requirements. By automatically adjusting the list size, it simplifies the process of preparing data for further processing or analysis, ensuring that your lists are always the right size for your needs.
The float_list
parameter is the input list of floating-point numbers that you want to adjust. This list can contain any number of float values, and its length will be modified to match the specified batch size. The function of this parameter is to provide the initial data set that will be either trimmed or padded. The impact of this parameter on the node's execution is significant, as it determines the starting point for the adjustment process. There are no specific minimum or maximum values for the elements within this list, but the list itself must be provided for the node to function.
The batch_size
parameter specifies the desired length of the output list. It is an integer value that dictates how many elements the adjusted list should contain. The function of this parameter is to set the target size for the list, ensuring that the output matches your requirements. The minimum value for batch_size
is 1, and the maximum value is 10,000, with a default value of 10. This parameter is crucial for determining whether the input list will be trimmed or padded, and it directly affects the final output of the node.
The output_list
is the adjusted list of floating-point numbers that results from the node's operation. This list will have a length equal to the specified batch_size
, either by trimming excess elements from the end of the input list or by padding the list with the last value to reach the desired length. The importance of this output lies in its ability to provide a consistent and predictable list size, which is essential for subsequent data processing tasks. The interpretation of this output is straightforward: it is a list that has been modified to meet the specified size requirements, ensuring uniformity across different data sets.
float_list
is not empty before using this node, as an empty list will result in padding with the default value of 0.0.batch_size
parameter to control the length of your output list, keeping in mind that larger batch sizes will result in more padding if the input list is shorter.float_list
is empty, and the node attempts to access the last element for padding.float_list
contains at least one element before using the node, or handle empty lists by providing a default value.float_list
is not properly initialized or passed as None
.float_list
is correctly initialized and passed to the node, ensuring it is a valid list of floats.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.