testing my json extension info: it sets a variable to 2 values, mx and my, both of them reporting the mouse position, and then it stretches the costume to the values in the json variabledata:image/png;base64,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testing my json extension info: it sets a variable to 2 values, mx and my, both of them reporting the mouse position, and then it stretches the costume to the values in the json variable

json

length sorted shuffled reversed listsortedshuffledreversedlist

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg=={ "MX": 210, "MY": 189 }