A newer version of Max is available. Click here to access the latest version of this document.

trough

If a number is less than previous numbers, output it

Description

trough takes a number in the left inlet, compares to the old trough and, if it's smaller than the old trough, sends that number to the output and sets it as the new trough.

Arguments

Name Type Opt Description
number-format float opt The initial value stored in trough is 128. Providing a float argument will cause trough to operate on floating-point values instead of integers.

Messages

bang In left inlet: Sends the currently stored minimum value out the left outlet.
int input [int]
In left inlet: If the input is less than the value currently stored in trough, it is stored as the new minimum value and is sent out.
  (inlet1) set-current-trough [int]
In right inlet: The input is stored in trough as the new minimum value, and is sent out.
float input [float]
In left inlet: If the input is less than the value currently stored in trough, it is stored as the new minimum value and is sent out.
  (inlet1) set-current-trough [float]
In right inlet: The input is stored in trough as the new minimum value, and is sent out.

Information for box attributes common to all objects

Output

int: Out left outlet: New minimum values are sent out. (Numbers received in the right inlet are always the new minimum value.)

Out middle outlet: If the number received is a new minimum value, the output is 1. If the number received in the left inlet is not a new minimum value, the output is 0.

Out right outlet: If the number received is a new minimum value, the output is 0. If the number received in the left inlet is not a new minimum value, the output is 1.

Examples

Find the smallest in a series of numbers... Number in right inlet always sets a new trough

See Also

Name Description
minimum Output the smallest in a list of numbers
peak If a number is greater than previous numbers, output it
< Is less than, comparison of two numbers
Max Data Tutorial 2: Data Scaling Max Data Tutorial 2: Data Scaling