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Featuring: - Over 100 Sorts - Over 50 Shuffles - Too Many Exchange Sorts - And A Bit 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mkLHFk52YH8pev4BPNo/xL0WOrb4GnzptNyg4JYMPDzTIj4D7lIN56e5rpnOgs7DKv/x3G/QhL/GBTIKz4RQJoCbBZQgScvGgfid4O7M11JStiBkmaDxirfMFQfRAxumDilCUSQJkHLENZLFJ+E2mYf4xKZk9SE5IOuZL9yqsUhn8Ji94D71DIbQcRc0jRzJQAGk/FyTxgzfKAU5x28eC0Iux1hXRVZpIzfRmMmgxJEXCwM0ycCuHfSACN/YCVTcVJAKsGcLsyiLP6OP7QXeZdZSzpeWvA6SmmTPMlRhdGnDIXpisSQDkTYnoecIfhEb7lJ6LpwUiGlVJ4nSa4n7KbZvoxhOt6844yBvIOSACNl+aQU3FXopipaRiNYS42ONN9S2cG7+vHo088QoCmZ6V9wDhlF831j0oAr7c2jAQQjnCQ+cxm2tI5JtmxBIDCk6b5tIgmu4pxmldMpkY4Mq6dC5YAVrE4kbUCaMDAGhazlC9IZBvnKOToUkO1AbTfVYjbPCSAFe8JKX9Ng4mrY1kbgPmcYzmz+IIpgCs5XKhYN1ECKM0IdZbDTmU1q3ifNJLJJPuq5erKF+6UAFoogAne0+nJS9jSMJdbnYQWGzw5w8mKaGfcJ5YAWrgbZoq3hhb405o+dORx/OhXZ5GsJgeeiKYCvHLYJICNyI4lAHQse1bJk1ZoKaQ70wlkTE14qfV9JICN3A1jDGDZ+9zVBYQ9CSOIJ3EnBme61DpYph5QAmilAJbD2JRgxI8v76MlwlRuam07CaCVA2gcFZsyGGeew55INLSsNchudCAJoARQzU6KZrkcRkdDBFpDf9D8EzSiB1l3RQIoAawEQNBeLnt/hO0roB0CDlW9yKxmkEoAJYA3BrA8N2IbB/Yx4PtmzUi7zl4SQAmgaQBWJOlsoNV74NYd3HvfNIwSQAlgNQEse3vOn1poMRxcIqHTpBqDKAGUANYMwPKIKD4vuUH0v8C3J7QwXtKzai4lgBLAmwewfO7MIQACB0DrQRD5QNX0ARJACWDtASiiYWFZE+3ZFYa9CW17g3Oz68IoAZQA1g2AIioW2oB/JETcBnEPQ0Dba0CUAEoA6w7A8n6ieAFyXjEMfBxGvQjB7UCjUWGUAEoA6x5AY5/VZQdo3xNGPAL3PMJEWztpx2rMixNdzw1TPu1mPBd8ZSrOaCbEeLQr/l2ZWc/4d+V9wKq2s3GGrHwmXih9Qbfxj/QDVsMPaNJQT24kFagjBUo7MrJIBcykgATQTMLLaksVkABKEsyqgATQrPLLyiWAkgGzKiABNKv8snIJoGTArApIAM0qv6xcAigZMKsCEkCzyi8rlwBKBsyqgATQrPLLyiWAkgGzKiABNKv8snIJoGTArApIAM0qv6xcAigZMKsCEkCzyi8rlwBKBsyqgATQrPLLyiWAkgGzKiABNKv8snIJoGTArApIAM0qv6xcAigZMKsCEkCzyi8rlwBKBsyqgATQrPLLyiWAkgGzKvA/1k5QQVDEsBYAAAAASUVORK5CYII=data:image/png;base64,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<#1>

a1

ig01

i1i11floor2i-1a1b1floor2

i11i-1

i11i-1

i111i-1gap-1

i11i1gap-1

i11i-1

i11i-1

i11i-1

i11i-1

i1

i-1

i12c-1

i1

i1

i12end-1

gap-1

gap-11ifloor1gap-1floor1

gap2gap1gap1.5

1Lime Sort1Orange Sort1Grapefruit Sort1Kinnow Sort2Kiyomi Sort2Chinotto Sort2Mandarin Orange Sort2

2Invered Sort2Citron Sort1Single Directional Chinotto Sort2Single Directional Mandarin Orange Sort2Quasi-Rotating Red Lime1Rotating Red Lime Sort1Hyuganatsu Sort2Rotating Hyuganatsu Sort2Orange Sort 21

.5Imsimm Sort.5Imsimm Sort 2.5Pop Sort 2.5Crack Sort 2.5Single Directional Pop Sort 2.5V Sort1

2Rotating Selection Sort2Double Selection Sort1Sandpaper Sort0.5Double Sandpaper Sort0.5Bad Sort2424

2Binary Insertion Sort2Linebinary Insertion Sort2Shell Sort0.75Ciura Gap Shell Sort1Progressive Sort2Progressive Sort 22Y-Progressive Sort2

i1list11

1Stable Quick Sort2LR Quick Sort1Random Pivot Quick Sort1Median Quicksort2

__ Array Writes1gapfloor2

__ Array Writes1_ Aux Array Writes1i11Code by taluvina

listfocus0

iiter1

1Base 3 Odd-Even Sort1Base 4 Odd-Even Sort1Base n/16 Odd-Even Sort1Rouge Odd-Even Sort2Comb Odd-Even Sort2Odd then Even Sort0.75Odd then Even Sort + Merge0.75

iiter1

iiter1

iiter1

iiter1base-1

iiter1

iiter1i1j2

j1

j1

1green0

_ Comparisons1i1j-1extra pointers

llist1

Sort to runAll Sorts

0.5_ Current SortFinished!

Shuffle to RunAll Shuffles

ceiling20

i11

i110

__ Array Writes11__ Array Writes11ceiling400

i110

i110

a1b-11000

i1j2

Already SortedReversedAlmost SortedAlmost Reversed

Reversed Few UniqueAlmost Sorted Few UniqueVery Few UniqueTwo UniqueAlready Sorted Few Unique

Tent ShapedW ShapedM ShapedSine WaveReversed Sine WaveShuffled Sine WaveInterweavedIntersineDouble LayeredReversed Double Layered

Reversed Final MergeSawtoothSawtooth 2Cubic Final MergeQuintic Final MergeCubic SawtoothQuintic Sawtooth

Reverse RotatedPartially RotatedPartially Rotated Other Direction

ig-1

0.5Cocktail Rouge Sort0.5Looping Rouge Sort0.5Rotate Rouge Sort1Rotate Looping Rouge Sort1Comb Sort1Cocktail Comb Sort1Looping Comb Sort1Rotate Comb Sort1Rotate Looping Comb Sort1Feijeland Sort1Rotate Feijeland Sort1Brush Sort1Feijeland Sort 21.19203

gap-1

ig-1

__ Array Writes2lg

gap1.3

gap1.31ifloor1gap1.3floor1

ifloorg1.3

gap1.3

ifloorg1.3

ifloor

ifloor

gap1.3

gap1.3This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _

tempab1floor2floor2_ Aux Array Writes1_ Comparisons1floor2i

2In-Place Merge Sort1Iterative In-Place Merge Sort1

ab1floor2

iiter1basefloor1.3

1

Reverse CubicQuinticReverse QuinticQuadraticShuffled QuadraticQuarticShuffled QuarticSquare RootReverse Square RootCube RootReverse Cube Root

1

i2size42ceilinglgisize2

enddone?false1end-1

_ Comparisons1index11true

.5Min Heap Sort.5Naive Ternary Heap Sort.5

_ Comparisons1index11true

highlighthighlight 21

highlighthighlight 2Mfloor121

highlighthighlight 2Mfloor1413truetrue

highlighthighlight 2Mfloor1312

i1end-1

end-1done?trueistart1

end-1done?true2start1done?true

1

-1

4Sinking Sort4Cocktail Shaker Sort4Cashew Sort4Walnut Sort4Trashew Sort4Pecan Sort4Almond Sort4Random Nut Sort4Pop Sort1.5Crack Sort1.5Single Directional Pop Sort1.5

2424Egoots Sort24243/4 Stooge Sort1616

3030Slow Sort3030Cocktail Slow Sort4040BSY Slow Sort3030BSY Silly Sort3030Sort ListBad Selection Sort2424

highlighthighlight 21

j1

low1high-11

i1

i11

1

Reversed Final RadixCircle SortedCircle Sorted Sine WaveReversed Circle SortedHeapifiedMin HeapifiedShuffle ListRotate Looping Comb SortedReverse Rotate Looping Comb Sorted

midmidfloor2false0true_ Comparisons1

__ Array Writes11__ Array Writes11

end-1done?true2start1done?true

end-1start1iternum1

end-1done?true3start1done?true

i110

end-1start1iternum1

end-1start1iternum1

-1

1

floor211

highlighthighlight 2Mfloor1312

highlighthighlight 2Mfloor121

highlighthighlight 21

done?falsedone?false

done?falsedone?false

low1high-1midfloor2201

ifloorg1.3

i11i-1

i__ Array Writes11

Circle Final MergeReversed Shuffled Final MergeShuffled Cubic Final MergeShuffled Quintic Final Merge

listfocus0l2r-2pivotxij_ Comparisons1i1j-1leftrightwfloor2

low1high1high-2low-1high-11i1

i__ Array Writes1gap1

i2floor21floor2floor231floor2

i

maxstart1end-1

gap2

ifloorfloor0ifloor

highlighthighlight 21lol1

<#n>gapfloor.5

#1.widthStage-210heightStage25-1515spaceinvalidvaliddown arrow20invalidvalidtrselectedcpos20#1.widthStage-210heightStage25-1515any keyspacespacevalid

<#n>gapfloor.5

i11

k1

i1list11

ab1floor2floor6016

gap2iii

Scrambled HeadScrambled TailScrambled Head + TailShuffle ListDouble Layered ShuffleShuffled TopShuffled BottomShuffle ListPartitioned Array

i2

i1ceiling10

_ Comparisons1i1k-1

j1

s1

sort mergei1floor2merge1floor2merge__ Array Writes11__ Array Writes11

i111gap2i1

11gap2i1

1

2020Y-Stooge Sort1616Z-Stooge Sort1313XY-Stooge Sort2020Hyperstooge Sort99Really Bad Sort99

4848Gappy Stooge Sort2020Gappy Stooge Sort 22020

__ Array Writes11__ Array Writes11

index1

swappedlowhighmidswappedfalselowhighlow1high-1midfloor2lowhigh1

high-1i1floor21floor2

3Quasi-Circle Sort2Circloid Sort33/4 Circle Sort3030Bladson Sort3Bladson Sort 23Bitonic Circle Sort3Optimized Stooge Sort?3

low1high-1

swappedlowhighmidswappedfalselowhighlow1high-1midfloor140

__ Array Writes11__ Array Writes11Runs 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.

pt:enquanto _ , repete _ $loop-0.7

widthStagewidthStage2widthStage-2-180heightStage0.75heightStage218,3,0,1i1widthStage-210heightStage25-15Current Sort: 15-15Numbers: 15-15Comparisons: 15-15Swaps: 15-15Main Array Ops: 15-15Aux Array Ops: 15

pt:a frequência da nota _ 69

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ pt:lança _ catchtag

low1high1high-1high-1low-11

ii1

low1high11

1d2done?falsegapfloor211

low1high-1i11low1high-1

1d2done?falsegapfloor211

1d2done?falsegapfloor211

done?falsedone?false

_ Aux Array Writes1_ Comparisons1floor2i1

listfocus0

Negative Bell CurveShuffled Bell CurveSincReversed SincShuffled Sinc

low1high-1aba111b1a1Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ returnThrow an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _ LET (FOO) BE (5) is equivalent to SCRIPT VARIABLES (FOO) SET (FOO) TO (5)

pt:cria a variável de guião _ com valor _ Catch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

err

123454

maxpos0b1b1

sort mergei

2^lg2Odd-Even Merge Sort2

2In-Place Merge Sort 22Healy Sort2Bad Merge Sort3

i-1ceiling10

i1

i2128,125,124,123,122,121,117,115,114,113,112,109,104,102,101,100,97,96,94,93,91,89,88,87,83,81,79,76,73,72,70,66,32,31,30,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2,1,33,34,35,36,37,38,39,40,71,85,86,90,106,108,118,119,43,44,42,41,126,110,80,116,120,45,99,46,65,47,111,48,74,49,77,50,82,51,69,52,103,53,107,54,75,55,84,56,98,57,92,58,105,59,67,60,78,61,68,62,127,63,95,64838784Bitonic Merge Sort767433Bubble Sort,Sinking Sort,Cocktail Shaker Sort,Cashew Sort,Walnut Sort,Trashew Sort,Pecan Sort,Almond Sort,Random Nut Sort,Pop Sort,Crack Sort,Single Directional Pop Sort,Rouge Sort,Cocktail Rouge Sort,Looping Rouge Sort,Rotate Rouge Sort,Rotate Looping Rouge Sort,Comb Sort,Cocktail Comb Sort,Looping Comb Sort,Rotate Comb Sort,Rotate Looping Comb Sort,Feijeland Sort,Rotate Feijeland Sort,Brush Sort,Feijeland Sort 2,Lemon Sort,Lime Sort,Orange Sort,Grapefruit Sort,Kinnow Sort,Kiyomi Sort,Chinotto Sort,Mandarin Orange Sort,Red Sort,Invered Sort,Citron Sort,Single Directional Chinotto Sort,Single Directional Mandarin Orange Sort,Quasi-Rotating Red Lime,Rotating Red Lime Sort,Hyuganatsu Sort,Rotating Hyuganatsu Sort,Orange Sort 2,Odd-Even Sort,Base 3 Odd-Even Sort,Base 4 Odd-Even Sort,Base n/16 Odd-Even Sort,Rouge Odd-Even Sort,Comb Odd-Even Sort,Odd then Even Sort,Odd then Even Sort + Merge,Quick Sort,Stable Quick Sort,LR Quick Sort,Random Pivot Quick Sort,Median Quicksort,Circle Sort,Quasi-Circle Sort,Circloid Sort,3/4 Circle Sort,Bladson Sort,Bladson Sort 2,Bitonic Circle Sort,Optimized Stooge Sort?,Flagnafir Sort,Imsimm Sort,Imsimm Sort 2,Pop Sort 2,Crack Sort 2,Single Directional Pop Sort 2,V Sort,Selection Sort,Rotating Selection Sort,Double Selection Sort,Sandpaper Sort,Double Sandpaper Sort,Bad Sort,Heap Sort,Min Heap Sort,Naive Ternary Heap Sort,Insertion Sort,Binary Insertion Sort,Linebinary Insertion Sort,Shell Sort,Ciura Gap Shell Sort,Progressive Sort,Progressive Sort 2,Y-Progressive Sort,Merge Sort,In-Place Merge Sort,Iterative In-Place Merge Sort,Bitonic Merge Sort,Odd-Even Merge Sort,Interweaved Merge Sorting Network,In-Place Merge Sort 2,Healy Sort,Bad Merge Sort,Stooge Sort,Egoots Sort,3/4 Stooge Sort,Circle Stooge Sort,Gappy Stooge Sort,Gappy Stooge Sort 2,X-Stooge Sort,Y-Stooge Sort,Z-Stooge Sort,XY-Stooge Sort,Hyperstooge Sort,Really Bad Sort,Silly Sort,Slow Sort,Cocktail Slow Sort,BSY Slow Sort,BSY Silly Sort,Bad Selection SortBubble Sort4Sinking Sort4Cocktail Shaker Sort4Cashew Sort4Walnut Sort4Trashew Sort4Pecan Sort4Almond Sort4Random Nut Sort4Pop Sort1.5Crack Sort1.5Single Directional Pop Sort1.5Rouge Sort0.5Cocktail Rouge Sort0.5Looping Rouge Sort0.5Rotate Rouge Sort1Rotate Looping Rouge Sort1Comb Sort1Cocktail Comb Sort1Looping Comb Sort1Rotate Comb Sort1Rotate Looping Comb Sort1Feijeland Sort1Rotate Feijeland Sort1Brush Sort1Feijeland Sort 21.19203Lemon Sort1Lime Sort1Orange Sort1Grapefruit Sort1Kinnow Sort2Kiyomi Sort2Chinotto Sort2Mandarin Orange Sort2Red Sort2Invered Sort2Citron Sort1Single Directional Chinotto Sort2Single Directional Mandarin Orange Sort2Quasi-Rotating Red Lime1Rotating Red Lime Sort1Hyuganatsu Sort2Rotating Hyuganatsu Sort2Orange Sort 21Odd-Even Sort1Base 3 Odd-Even Sort1Base 4 Odd-Even Sort1Base n/16 Odd-Even Sort1Rouge Odd-Even Sort2Comb Odd-Even Sort2Odd then Even Sort0.75Odd then Even Sort + Merge0.75Quick Sort1Stable Quick Sort2LR Quick Sort1Random Pivot Quick Sort1Median Quicksort2Circle Sort3Quasi-Circle Sort2Circloid Sort33/4 Circle Sort3030Bladson Sort3Bladson Sort 23Bitonic Circle Sort3Optimized Stooge Sort?3Flagnafir Sort.5Imsimm Sort.5Imsimm Sort 2.5Pop Sort 2.5Crack Sort 2.5Single Directional Pop Sort 2.5V Sort1Selection Sort2Rotating Selection Sort2Double Selection Sort1Sandpaper Sort0.5Double Sandpaper Sort0.5Bad Sort2424Heap Sort.5Min Heap Sort.5Naive Ternary Heap Sort.5Insertion Sort2Binary Insertion Sort2Linebinary Insertion Sort2Shell Sort0.75Ciura Gap Shell Sort1Progressive Sort2Progressive Sort 22Y-Progressive Sort2Merge Sort2In-Place Merge Sort1Iterative In-Place Merge Sort1Bitonic Merge Sort2^lg2Odd-Even Merge Sort2Interweaved Merge Sorting Network2In-Place Merge Sort 22Healy Sort2Bad Merge Sort3Stooge Sort2424Egoots Sort24243/4 Stooge Sort1616Circle Stooge Sort4848Gappy Stooge Sort2020Gappy Stooge Sort 22020X-Stooge Sort2020Y-Stooge Sort1616Z-Stooge Sort1313XY-Stooge Sort2020Hyperstooge Sort99Really Bad Sort99Silly Sort3030Slow Sort3030Cocktail Slow Sort4040BSY Slow Sort3030BSY Silly Sort3030Bad Selection Sort242410008660Bitonic Merge Sorttrue128Randomized ShuffleAlready SortedReversedAlmost SortedAlmost ReversedFew UniqueReversed Few UniqueAlmost Sorted Few UniqueVery Few UniqueTwo UniqueAlready Sorted Few UniqueV ShapedTent ShapedW ShapedM ShapedSine WaveReversed Sine WaveShuffled Sine WaveInterweavedIntersineDouble LayeredReversed Double LayeredCubicReverse CubicQuinticReverse QuinticQuadraticShuffled QuadraticQuarticShuffled QuarticSquare RootReverse Square RootCube RootReverse Cube RootBell CurveNegative Bell CurveShuffled Bell CurveSincReversed SincShuffled SincFinal MergeReversed Final MergeSawtoothSawtooth 2Cubic Final MergeQuintic Final MergeCubic SawtoothQuintic SawtoothShuffled Final MergeCircle Final MergeReversed Shuffled Final MergeShuffled Cubic Final MergeShuffled Quintic Final MergeScrambled OddsScrambled HeadScrambled TailScrambled Head + TailDouble Layered ShuffleShuffled TopShuffled BottomPartitioned ArrayRotatedReverse RotatedPartially RotatedPartially Rotated Other DirectionFinal RadixReversed Final RadixCircle SortedCircle Sorted Sine WaveReversed Circle SortedHeapifiedMin HeapifiedRotate Looping Comb SortedReverse Rotate Looping Comb SortedShuffled TopRandomized Shuffle,Already Sorted,Reversed,Almost Sorted,Almost Reversed,Few Unique,Reversed Few Unique,Almost Sorted Few Unique,Very Few Unique,Two Unique,Already Sorted Few Unique,V Shaped,Tent Shaped,W Shaped,M Shaped,Sine Wave,Reversed Sine Wave,Shuffled Sine Wave,Interweaved,Intersine,Double Layered,Reversed Double Layered,Cubic,Reverse Cubic,Quintic,Reverse Quintic,Quadratic,Shuffled Quadratic,Quartic,Shuffled Quartic,Square Root,Reverse Square Root,Cube Root,Reverse Cube Root,Bell Curve,Negative Bell Curve,Shuffled Bell Curve,Sinc,Reversed Sinc,Shuffled Sinc,Final Merge,Reversed Final Merge,Sawtooth,Sawtooth 2,Cubic Final Merge,Quintic Final Merge,Cubic Sawtooth,Quintic Sawtooth,Shuffled Final Merge,Circle Final Merge,Reversed Shuffled Final Merge,Shuffled Cubic Final Merge,Shuffled Quintic Final Merge,Scrambled Odds,Scrambled Head,Scrambled Tail,Scrambled Head + Tail,Double Layered Shuffle,Shuffled Top,Shuffled Bottom,Partitioned Array,Rotated,Reverse Rotated,Partially Rotated,Partially Rotated Other Direction,Final Radix,Reversed Final Radix,Circle Sorted,Circle Sorted Sine Wave,Reversed Circle Sorted,Heapified,Min Heapified,Rotate Looping Comb Sorted,Reverse Rotate Looping Comb Sortedfalse