data:image/png;base64,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

counter1

false

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==Next, fix the custom Minimum block so it will report the smallest value. This time you can use a For Loop! Check using all 3 test lists! (Simply click on the blocks!)Fix the Maximum custom block first. It should report the largest value in any list that is sent to it. Check using all 3 test lists! (Simply click on the blocks!)-94,8,3,-2,6,74,5,9,8,23,14,10,1287-3,-5,-1,-9,-7,-526