data:image/png;base64,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:image/png;base64,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i1LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.Hello!121datamapmany1data lists11110i121cont3catchtagcontcatchtagSpriteSpriteReplaces the ith and jth items in the list with each other. No bounds checkingUse the bubble sort algorithm to sort a list of any kind of object, using a comparator (1-input reporter that reports whether the first input belongs before the second).
For a 'normal' increasing sort of numbers or strings, use the regular < operator.
Upvars ncomps and nswaps return a count of the number of calls to the comparator, and the number of times an out-of-order bubble is swapped. If this comparator returns true, then items i and i+1 are out of ordern-1 passes
pass 1: i=1...n-1
pass 2: i=1...n-2 ...Scramble a list into a random orderPut a list into reverse orderUse the quicksort algorithm to sort a list of any kind of object, using a comparator (1-input reporter that reports whether the first input belongs before the second).
For a 'normal' increasing sort of numbers or strings, use the regular < operator.
Upvars ncomps and nswaps return a count of the number of calls to the comparator, and the number of times a pair of items is swapped. This is the real quicksort implementation, which:
* picks item[lo] as the 'pivot'
* swaps within the range lo...hi to become (<pivot)pivot(>pivot)
* recursively sorts subranges (<pivot) and (>pivot)
The main quicksort wrapper just calls this on the range of the full list2For a larger range, we pick a pivot and reorder the range < and > the pivot.
Note there is no if for n=0 or 1, so for those base cases the function do nothing and return. nc1We just called the comparator once, and swapped once. ns11Recursively sort the subrange less than the pivot ncompsnswapsncns1ncompsnswapsRecursively sort the subrange greater than the pivotncnscal,22,33KAL ROSE ,22 MATT DRIVE,1166787344CAL VERT,11 ELM DRIVE,1123457763JACK ROSE,3 HOPE DRIVE,4569873636KAL ROSE ,22 MATT DRIVE,1166787344CAL VERT,11 ELM DRIVE,1123457763JACK ROSE,3 HOPE DRIVE,4569873636