ComfyUI Node: Invert Floats

Invert Floats:

The Invert Floats node is designed to transform a list of floating-point numbers by inverting their values relative to the midpoint of their range. This node is particularly useful when you need to reverse the distribution of values within a dataset, effectively flipping the values around a central point. By calculating the midpoint of the minimum and maximum values in the input list, the node adjusts each float to its opposite position within the range. This operation can be beneficial in various scenarios, such as data normalization, visual effects, or any application where a mirrored value set is required. The node ensures precision by rounding the inverted values to six decimal places, maintaining consistency and accuracy in the output.

Invert Floats Input Parameters:

floats

The floats parameter is a required input that consists of a list of floating-point numbers. This parameter serves as the primary data set that the node will process to generate inverted values. The function of this parameter is to provide the numerical data that will be transformed by the node. The impact of this parameter on the node's execution is significant, as it directly determines the range and midpoint used for inversion. There are no explicit minimum, maximum, or default values specified for this parameter, but it is essential that the input is a valid list of floats to ensure proper functionality.

Invert Floats Output Parameters:

inverted_floats

The inverted_floats output parameter provides the list of floating-point numbers that have been inverted relative to their range midpoint. This output is crucial as it represents the transformed data set, where each original value has been flipped around the central point of the range. The interpretation of this output is straightforward: each number in the list is the mirrored counterpart of the corresponding input value, offering a new perspective on the data. This output can be used in various applications where such inversion is needed, providing a flexible tool for data manipulation.

Invert Floats Usage Tips:

• Ensure that the input list of floats is correctly formatted and contains valid numerical values to avoid errors during processing.
• Use this node when you need to create a mirrored version of your data set, which can be useful in visualizations or data analysis tasks that require such transformations.

Invert Floats Common Errors and Solutions:

Invalid input type

• Explanation: This error occurs when the input provided is not a list of floating-point numbers.
• Solution: Verify that the input is a correctly formatted list of floats. Ensure that no non-numeric values are included in the list.

Empty input list

• Explanation: An empty list as input will result in an error because there are no values to process.
• Solution: Provide a list with at least one floating-point number to ensure the node can perform the inversion operation.