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#Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right. The # variable can be used inside f to represent how many times f has been called.

Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right. The # variable can be used inside f or condition to indicate how many times f has been called.

Returns the function f(g(x)) where f and g are the two inputs.

Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.

Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.

Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run. Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.

Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try REPEAT (200) MOVE (#) STEPS RIGHT 92 with the pen down.

1110Provides LOOP as a function of one input that runs the body of the LET with A set to the function input, so the body can run itself recursively. See COPY block in Variables for an example of use.

new valuecopy VALUE N times reports a list containing N (identical) copies of VALUE

2400