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Track signal processing occurrences with unique identifier for accurate counting in AI art projects.
The ListCounter __Inspire node is designed to help you keep track of the number of times a specific signal has been processed. This node is particularly useful in scenarios where you need to maintain a count of occurrences or iterations within your AI art projects. By leveraging a unique identifier, the node ensures that each signal is counted accurately, providing a reliable way to manage and monitor repetitive tasks. The primary goal of this node is to simplify the process of counting and to offer a straightforward method to increment and retrieve counts, making it an essential tool for artists who need to keep track of iterations or occurrences in their workflows.
The signal
parameter is a versatile input that can accept any type of data. This parameter acts as the trigger for the counting mechanism. Each time a new signal is received, the node increments the count associated with the unique identifier. The specific type of data passed as the signal does not impact the counting process, making this parameter highly flexible and adaptable to various use cases.
The base_value
parameter is an integer that sets the starting point for the count. By default, this value is set to 0, but you can adjust it to any integer value within the range of 0 to 0xffffffffffffffff. This parameter allows you to customize the initial count, which can be useful if you need to start counting from a specific number rather than zero. The base_value
is added to the current count each time the signal is processed, providing a way to offset the count as needed.
The unique_id
parameter is a hidden input that ensures each count is associated with a specific identifier. This unique identifier is crucial for maintaining separate counts for different signals or processes. By using a unique ID, the node can accurately track and increment counts independently, preventing any overlap or confusion between different counting tasks.
The output parameter is an integer that represents the current count plus the base value. Each time the signal is processed, the node increments the count and returns the updated value. This output provides a straightforward way to retrieve the current count, allowing you to use it in subsequent nodes or processes within your AI art project. The returned integer reflects the total number of times the signal has been processed, starting from the specified base value.
unique_id
. This will help maintain accurate and independent counts for different tasks.base_value
parameter if you need to start counting from a specific number. This can be useful in scenarios where you need to continue counting from a previously recorded value.unique_id
provided is not recognized by the node, meaning it has not been used before.unique_id
is correctly specified and unique for each counting task. If this is the first time using the unique_id
, the node will initialize the count at the base_value
.base_value
provided is outside the acceptable range of 0 to 0xffffffffffffffff.base_value
is within the specified range and adjust it accordingly. The default value is 0, which is a safe starting point.© Copyright 2024 RunComfy. All Rights Reserved.