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Clamp values in a list to a specified range for data normalization and control.
The SaltListClamp
node is designed to ensure that all values within a given list fall within a specified range. This is particularly useful when you need to normalize or constrain data to prevent outliers or extreme values from affecting your results. By clamping the values, you can maintain consistency and control over the data, ensuring that it stays within the desired bounds. This node is essential for tasks that require precise value management, such as audio visualization or any other scheduling operations where maintaining a specific range of values is crucial.
schedule_list
is the list of numerical values that you want to clamp. This list can contain any set of numbers that you need to constrain within a specific range. The values in this list will be adjusted to ensure they fall between the min_value
and max_value
.
min_value
is the lower bound of the range within which you want to constrain the values in the schedule_list
. Any value in the list that is below this minimum will be adjusted up to this minimum value. This parameter is a floating-point number and can be set with a step of 0.01.
max_value
is the upper bound of the range within which you want to constrain the values in the schedule_list
. Any value in the list that is above this maximum will be adjusted down to this maximum value. This parameter is a floating-point number and can be set with a step of 0.01.
The output schedule_list
is the list of values after they have been clamped to the specified min_value
and max_value
. This ensures that all values in the list fall within the defined range, providing a controlled and consistent set of data for further processing or analysis.
min_value
is always less than or equal to max_value
to avoid errors.min_value
and max_value
based on the specific requirements of your task to maintain the desired level of control over your data.min_value
parameter is set higher than the max_value
parameter.min_value
is less than or equal to the max_value
before running the node. Double-check the values you have set for these parameters to correct any mistakes.© Copyright 2024 RunComfy. All Rights Reserved.