This painting is inspired by randomness and paint strokes. I first selected 5 colors that I like as my color palette. I went with some uva themed blue and orange. I looked up some complementry colors from coolors.co then played around with the saturation, brightness, and transparancy range with those colors to create the color palette. Then created 5 shapes that I think some what resembled paintbrush strokes: dots, straight stroke, curved stroke, straight line, and curved line. I the randomized the starting point and the direction. Then I choose a random saturation, brightness, and transparancy. Finally I created a random shape based on these settings. This is repeated 500 times to create the 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This painting is inspired by randomness and paint strokes. I first selected 5 colors that I like as my color palette. I went with some uva themed blue and orange. I looked up some complementry colors from coolors.co then played around with the saturation, brightness, and transparancy range with those colors to create the color palette. Then created 5 shapes that I think some what resembled paintbrush strokes: dots, straight stroke, curved stroke, straight line, and curved line. I the randomized the starting point and the direction. Then I choose a random saturation, brightness, and transparancy. Finally I created a random shape based on these settings. This is repeated 500 times to create the painting

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ca:canvia de llapis de color saltant _

ca:llapis de color

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-1-1

This block allows you to set the pen's color, transparency (on a scale from 0=opaque to 100=invisible), or size (in pixels). The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), color number, crayon, or X11/W3C color name. See Appendix A in the Snap! Reference Manual for details.

ca:$brush fixa el _ del llapis a _ _ color color number crayon fair hue ~1 size transparency X11/W3C name ~2 (3D color spaces)={ fair HSL={ fair hue fair saturation (HSL) fair lightness fair HSL vector } fair HSV={ fair hue fair saturation (HSV) fair value (brightness) fair HSV vector } HSL={ hue saturation (HSL) lightness HSL vector } HSV={ hue saturation (HSV) value (brightness) HSV vector } RGB (0-255)={ red green blue RGB(A) vector RGB(A) hex } }§_ext_clr_numbersNote to myself: When the user sets a fair dimension, say fair HSL, variable HSL contains the corresponding "unfair" values, and "raw HSL" contains the numbers the user actually gave. It has to be this way because in the case of HSV, there is no "HSV" variable; rather, we use the pen's actual remembered-by-Javascript color's HSV coordinates. So our HSL variable has to be analogous to that. In both cases "raw" means the numbers the user gave us.

HSV

✐ raw HSL100HSV100

This block reports the pen size, color, or transparency, in all the same ways that the SET PEN block allows you to set those pen properties. (It will also report the current crayon number, if the pen color was most recently set with SET PEN TO CRAYON.) See Appendix A of the Snap! Reference Manual for details.

ca:$brush _ del llapis color color number crayon fair hue ~1 size transparency X11/W3C name ~2 (3D color spaces)={ fair HSL={ fair hue fair saturation (HSL) fair lightness fair HSL vector } fair HSV={ fair hue fair saturation (HSV) fair value (brightness) fair HSV vector } HSL={ hue saturation (HSL) lightness HSL vector } HSV={ hue saturation (HSV) value (brightness) HSV vector } RGB (0-255)={ red green blue RGB vector RGBA vector RGB(A) hex } }huesaturation (HSV)value (brightness)transparencyRGB vectorRGBA vectorredgreenblueRGB(A) hex

HSV vectorHSL vectorsaturation (HSL)lightnesscolor numbercolorfair huenot setfair saturation (HSL)not setfair lightnessnot setfair HSL vectornot setfair saturation (HSV)2not setfair value (brightness)3not setfair HSV vectornot setcrayonX11/W3C name

Changes any pen property by the specified amount. Some color scales can't be adjusted this way unless the color was first SET using that scale. Vectors (e.g., RGB color as a list of three numbers) can be incremented by a vector as the amount. X11/W3C names can't be incremented.

ca:$brush augmenta _ del llapis en _ color number crayon fair hue ~1 size transparency ~2 (3D color spaces)={ fair HSL={ fair hue fair saturation (HSL) fair lightness fair HSL vector } fair HSV={ fair hue fair saturation (HSV) fair value (brightness) fair HSV vector } HSL={ hue saturation (HSL) lightness HSL vector } HSV={ hue saturation (HSV) value (brightness) HSV vector } RGB (0-255)={ red green blue RGB vector RGBA vector } }crayonRGB hex

I don't know how to handle

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

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

de:ignoriere _ ca:ignora _ es:ignorar _ fr:ignore _ pt:ignora _

combines any number of colors, reporting the result of mixing them, either additively (like colored light beams) or subtractively (like paints). If the result is too bright (additive) or too dark (subtractive), try the "averaged" versions, which will make the brightness more like the brightnesses of the input colors.

ca:$brush barreja colors _ amb criteri _ additive (light) additive (averaged) subtractive (ideal) subtractive (averaged) simulated paint paint (sRGB corrected)waveforms

sum of weightscombined waveformweighted geometric mean of waveformssum of weightscombined waveform

Tback to RGBT5.47813E-05 0.000184722 0.000935514 0.003096265 0.009507714 0.017351596 0.022073595 0.016353161 0.002002407 -0.016177731 -0.033929391 -0.046158952 -0.06381706 -0.083911194 -0.091832385 -0.08258148 -0.052950086 -0.012727224 0.037413037 0.091701812 0.147964686 0.181542886 0.210684154 0.210058081 0.181312094 0.132064724 0.093723787 0.057159281 0.033469657 0.018235464 0.009298756 0.004023687 0.002068643 0.00109484 0.000454231 0.000255925-4.65552E-05 -0.000157894 -0.000806935 -0.002707449 -0.008477628 -0.016058258 -0.02200529 -0.020027434 -0.011137726 0.003784809 0.022138944 0.038965605 0.063361718 0.095981626 0.126280277 0.148575844 0.149044804 0.14239936 0.122084916 0.09544734 0.067421931 0.035691251 0.01313278 -0.002384996 -0.009409573 -0.009888983 -0.008379513 -0.005606153 -0.003444663 -0.001921041 -0.000995333 -0.000435322 -0.000224537 -0.000118838 -4.93038E-05 -2.77789E-050.00032594 0.001107914 0.005677477 0.01918448 0.060978641 0.121348231 0.184875618 0.208804428 0.197318551 0.147233899 0.091819086 0.046485543 0.022982618 0.00665036 -0.005816014 -0.012450334 -0.015524259 -0.016712927 -0.01570093 -0.013647887 -0.011317812 -0.008077223 -0.005863171 -0.003943485 -0.002490472 -0.001440876 -0.000852895 -0.000458929 -0.000248389 -0.000129773 -6.41985E-05 -2.71982E-05 -1.38913E-05 -7.35203E-06 -3.05024E-06 -1.71858E-06new

sRGB

RGB vector255

add

max255

RGB vector

This block reports a color. The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), color number, crayon, or X11/W3C color name. See Appendix A in the Snap! Reference Manual for details.

ca:$brush color amb _ _ _ color color number crayon fair hue X11/W3C name ~ fair HSL=fair HSL vector fair HSV=fair HSV vector HSL=HSL vector HSV=HSV vector RGB (0-255)=RGB vector RGB hex§_ext_clr_numberscolor numbercolor300index15scale15

15255fromto12

crayon

132

X11/W3C nameRGB hexcolorRGB vector

HSV vectorHSL vectorfair HSV vectorindex-1scale1index1color

100

fair HSL vectorindex-1scale1index1color

110050

ca:$brush _ del color _ nearest color number crayon number fair hue ~1 transparency X11/W3C name ~2 (3D color spaces)={ fair HSL={ fair hue fair saturation (HSL) fair lightness fair HSL vector } fair HSV={ fair hue fair saturation (HSV) fair value (brightness) fair HSV vector } HSL={ hue saturation (HSL) lightness HSL vector } HSV={ hue saturation (HSV) value (brightness) HSV vector } RGB (0-255)={ red green blue RGB vector RGBA vector RGB hex } }X11/W3C namenearest color numberrgbhslhsvrgb

transparency

transparencyRGB vectorRGBA vectorRGB hexredgreenbluehsv

false

HSV vectorhuesaturation (HSV)value (brightness)hsl

true

HSL vectorsaturation (HSL)lightness

HSL

lightness

fair lightness310030.9833.333333330.986.9444444516.944444451.96100fair lightnessfair saturation (HSL)210075.9493610075.949366.9444444516.944444451.96100fair saturation (HSL)fair HSL vectorfair lightness310030.9833.333333330.986.9444444516.944444458.823529100fair lightnessfair saturation (HSL)210075.9493610075.949366.9444444516.944444458.823529100fair saturation (HSL)fair HSL vectorfair hue11111111fair huefair saturation (HSL)fair lightnessfair HSL vectorbrownfair value (brightness)310054.5166.66666666754.516.9444444516.944444451.96100fair value (brightness)fair saturation (HSV)210086.3310086.336.9444444516.944444451.96100fair saturation (HSV)fair HSV vectorfair value (brightness)310054.5166.66666666754.516.9444444516.944444451.96100fair value (brightness)fair saturation (HSV)210086.3310086.336.9444444516.944444451.96100fair saturation (HSV)fair HSV vectorfair hue11111111fair huefair saturation (HSV)fair value (brightness)fair HSV vectorbrownfair something

Can't get here -- please post project and screenshot to forum.

This block reports the pen color (as a color, not as a list of numbers).

ca:✐ color de llapis actual

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

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

Sets the pen color to one of 100 preselected colors, like a box of 100 crayons. The colors have names that are meant to be evocative. They are organized in families, more or less corresponding to spectral (rainbow) colors; the input slot has a two-level menu in which you can hover over a family name to see the colors of that family, each including a crayon number and an RGB value. See Appendix A of the Snap! Reference Manual for more details.

ca:✐ fixa el llapis de color _ _ grays={ 0 black #000000=0 1 gray7 #121212=1 2 gray14 #242424=2 3 gray21 #363636=3 4 gray28 #484848=4 5 gray36 #5c5c5c=5 6 gray43 #6d6d6d=6 7 gray50 #7f7f7f=7 8 gray57 #919191=8 9 gray64 #a3a3a3=9 10 gray71 #b5b5b5=10 11 gray78 #c8c8c8=11 12 gray85 #dadada=12 13 gray92 #ececec=13 14 white #ffffff=14 } pinks={ 15 deep pink #ff1493=15 16 hot pink #ff69b4=16 17 bright pink #ff007f=17 18 raspberry #e30b5d=18 19 amaranth #e52b50=19 } reds={ 20 red #ff0000=20 21 burgundy #900020=21 22 cherry #990000=22 23 dark candy apple red #a40000=23 24 sanguine #c00000=24 25 maroon #800000=25 26 crimson #c90016=26 27 Lists #d94d11=27 28 candy apple red #ff0800=28 29 coquelicot #ff3800=29 } browns={ 30 saddle brown #8b4513=30 31 chocolate #7b3f00=31 32 kobicha #6b4423=32 33 sepia #704214=33 34 chestnut #954535=34 35 dark brown #654321=35 36 brown #964b00=36 37 golden brown #996515=37 38 cinnamon #b87333=38 39 copper #d2691e=39 } oranges={ 40 orange #ff7f00=40 41 Pantone orange #ff5800=41 42 pumpkin #ff7518=42 43 Variables #f3761d=43 44 Spanish orange #e86100=44 45 burnt orange #cc5500=45 46 sinopia #cb410b=46 47 ochre #cc7722=47 48 carrot #ed9121=48 49 tangerine #f28500=49 } yellows={ 50 yellow #ffff00=50 51 Control #e6a822=51 52 dark goldenrod #b8860b=52 53 goldenrod #daa520=53 54 saffron #f4c430=54 55 sandstorm #ecd540=55 56 mustard #ffdb58=56 57 gold #ffd700=57 58 egg yolk #fee33e=58 59 rubber duck #fbe108=59 } greens={ 60 lime #00ff00=60 61 apple green #8db600=61 62 Operators #62c213=62 63 forest green #228b22=63 64 green #008000=64 65 dark green #006400=65 66 dark pastel green #03c03c=66 67 emerald #50c878=67 68 mint #3eb489=68 69 Pen #00a178=69 } cyans={ 70 aqua (cyan) #00ffff=70 71 dark cyan #008b8b=71 72 cerulean #007ba7=72 73 iceberg #71a6d2=73 74 Sensing #0494dc=74 75 teal #008080=75 76 light sky blue #87cefa=76 77 deep sky blue #00bfff=77 78 dodger blue #1e90ff=78 79 azure #007fff=79 } blues={ 80 blue #0000ff=80 81 midnight blue #191970=81 82 dark powder blue #003399=82 83 cobalt #0047ab=83 84 denim #1560bd=84 85 navy blue #000080=85 86 steel blue #4682b4=86 87 Motion #4a6cd4=87 88 cornflower #6495ed=88 89 slate blue #6a5acd=89 } purples={ 90 violet #8000ff=90 91 Looks #8f56e3=91 92 grape #6f2da8=92 93 indigo #4b0082=93 94 x11 purple #a020f0=94 95 magenta (fuchia) #ff00ff=95 96 dark orchid #9932cc=96 97 Sound #cf4ad9=97 98 purple #7f007f=98 99 dark magenta #8b008b=99 }✐ last set ascrayon✐ fair?false

123

Takes three inputs for red, green, and blue values, each between 0 and 255. 0,0,0 is black; 255,255,255 is white. 255,255,0 is yellow, and so on. The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online. See Appendix A of the Snap! Reference Manual for details.

pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255) ca:fixa el llapis al color r: _ g: _ b: _ 25500

Takes three inputs for hue, saturation, and value ("brightness") values, each between 0 and 1. 0,0,0 is black; 0,0,1 is white. 0.15,1,1 is yellow, and so on. The SET PEN block in this library lets you set individual hue, saturation, or value without changing the others, lets you provide a list of three HSV color components, and lets you use the very much superior HSL (hue, saturation, lightness) color space. See Appendix A of the Snap! Reference Manual for details.

pt:altera a cor da caneta para matiz _ , saturação _ e brilho _ (0 a 1) ca:fixa el llapis al color h: _ s: _ v: _ 0.30.70.6

Reports the current pen color as a list of three RGB values in the range 0-255. The PEN block in this library provides a large set of ways to examine the color. See Appendix A in the Snap! Reference Manual for details.

pt:a cor da caneta em RGB (vermelho, verde e azul; 0 a 255)

Reports the current pen color as a list of three HSV values in the range 0-1. See Appendix A in the Snap! Reference Manual for details.

pt:a cor da caneta em HSV (matiz, saturação e brilho, 0 a 1)

Takes a value from 0 to 15 and reports the corresponding hexadecimal digit. For internal use of the color library.

Don't ask. Only for internal use by the SET PEN block.

truetrue

Creates a bunch of global variables. For internal use by Color library.

global✐ last set as✐ fair?✐ color scale✐ HSL✐ last crayon✐ last X11✐ raw HSL✐ raw HSV✐ X11✐ crayon colors✐ fair hue table✐ colors✐ brights✐ pivots✐ HSV brights✐ HSL brights✐ HSV colors✐ HSL colors✐ X11 catch✐ dimension names✐ dimension dispatch

✐ last set asRGB✐ fair?false✐ raw HSV0100100✐ HSL010050✐ raw HSL010050

not a crayon

not an X11 color

11000hues1fair hues00hue101100021000✐ fair hue table10

smallest componentrgb255

smallest component2rgb255

2Red family8.7Brown/orange family17yellow

501427.7522.3

34green52cyan67blue83.33333333purple9550505left of black

falsehue603.61001003.6100100

hue mod 100, other components cut off at [0, 100]

value100color3.6index1index-1scale1

255fromto1

newHSV

HSL✐ fair?true

color300index15scale15grayscale

15255fromto12

1✐ last set ascolor number✐ fair?true✐ raw HSL10050✐ raw HSV100100

015866

161216341656

✐ last set asRGB✐ fair?false1

partial matchestrue

matchhead matchestrue

SUBSET throws here if it handles a unique match1

partial matchesfalse

matchhead matchesfalse

SUBSET throws here if it handles a unique match

015866

161216341656

fair hue transparency ~2 (3D color spaces)={ fair HSL={ fair hue fair saturation (HSL) fair lightness } fair HSV={ fair hue fair saturation (HSV) fair value (brightness) } HSL={ hue saturation (HSL) lightness } HSV={ hue saturation (HSV) value (brightness) } RGB (0-255)={ red green blue } }255100We have to do this last test to rule out the vector options, which aren't numbers; their code makes three recursive calls and we catch range issues then.huesaturation (HSV)value (brightness)saturation (HSL)lightnesstransparencyredgreenbluefair huefair saturation (HSV)fair value (brightness)fair saturation (HSL)fair lightness

✐ last set asHSL33

✐ fair?false

✐ last set asRGB✐ fair?false

4value

0255

131✐ last set asRGB✐ fair?false

✐ last set asHSL22

✐ fair?false

✐ last set asHSL✐ HSL1100

0100

✐ raw HSL

✐ fair?false

✐ last set asHSV✐ fair?false✐ raw HSV1310031

100if USED TO BE fairHSL✐ fair?false1

✐ last set asHSL2222✐ fair?true

✐ last set asHSL3333✐ fair?true

22✐ last set asHSV✐ fair?true

33✐ last set asHSV✐ fair?true

pt:o texto multilinha _

Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.

pt:o texto de _ antes de _

Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.

pt:o texto de _ depois de _

Reports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.

pt:a posição de _ em _

If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default. If input is FALSE, comparisons will be exact.

pt:altera comparações ignorando distinção minúsculas/maiúsculas para _

Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string. If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.

pt:o texto de _ entre as posições _ e _ , inclusive

Reports True if the first input string contains the second input string, otherwise false. Comparison is case-independent by default; use USE CASE-INDEPENDENT COMPARISONS to change that.

pt:o texto de _ antes de _

Reports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.

pt:em minúsculas _

err_reset

This block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list). If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.

pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite script

This block reports "true" if there is a variable with this given name (input slot) in that context. It can be a global, sprite or script variable. Otherwise it reports "false".

pt:a variável _ existe ca:existeix la variable _ ? es:existe la variable _ ? de:existiert var _ ? err_reset

The first input is a shape list as in SHAPE OF. The output is an array with those dimensions containing the atomic items of the second input, repeating values if more are needed.

Reports a flat list of the maximum size of the input array along each dimension: number of rows, number of columns, etc. "Maximum" because it works even if the array isn't uniformly shaped.

Reports the greater of its two inputs. Works on strings too.

Reports a flat list of all the atomic elements of sublists of the input list.

Reports the number of dimensions of the input.

Takes a multidimensional array, and reports an array whose dimensions are reversed (as reported by SHAPE OF). In the case of a two-dimensional array, does the usual transposition of rows and columns.

Reverses the order of the (toplevel) items of the input. If the input is a matrix, this means it reverses the order of the rows, which is a reflection through a horizontal axis, as the ⦵ symbol suggests.

Like MAP, but can take any number of lists as inputs. The lists must all be the same size. The function input must take a number of inputs equal to the number of lists. MULTIMAP calls the function with all the first items, then all the second items, and so on.

cols

Computes a generalized matrix multiplication. In normal matrix multiplication, each cell of the result is computed by multiplying individual numbers within a row of the left input and a column of the right input, and then adding those products. In APL terms this is +.× ("plus dot times") Any dyadic functions can replace addition and multiplication in this algorithm; a common case is ∨.∧ ("or dot and")

Reports the smaller of its two inputs.

This function has two names because there are two ways to understand it. Lisp way: A matrix is a list of rows. This block combines the numbers in each row, producing one value for the entire row. APL way: A matrix is made of vectors. This block takes each column as a vector, and does vector arithmetic on the columns, producing one column as the result.

choicesindexchoices

Reports 1 if the input is positive, 0 if the input is zero, or -1 if the input is negative.

0false

reports 1 divided by its input.

This block reports a random integer between 1 and its input. To roll more than one die, use (for three dice) roll (reshape as 3 items of 6) APL: ?3⍴6 Don't use reshape as 3 items of (roll 6), because that would roll one die and report 3 copies of the same random roll.

Reports True if the input is an APL scalar, i.e., either an atomic (non-list) value, or an array (list of lists) of any depth with only one atomic item, e.g., (list (list (list (3)))).

The input must be a value for which SCALAR? reports true, i.e., either an atom or a list of any depth but only one scalar item of item of... etc. This function returns the underlying scalar (number, etc.).

Reports the not-and of its inputs, in the form 0 for false, 1 for true.

Reports True if the left input is less than or equal to the right input. Reports a Snap! Boolean, not an integer 0 or 1.

Reports True if the left input is greater than than or equal to the right input. Reports a Snap! Boolean, not an integer 0 or 1.

Reports False if its inputs are equal; reports True if its inputs are not equal. The inputs can have any non-list values. (Lists are hyperized.) If the inputs are Booleans (True/False or 1/0), this is also the exclusive-or function.

reports True iff the input is 0 or False.

Reports a Snap! Boolean False if the input is False or 0; reports True otherwise.

Turns list of list of ... a single scalar (e.g., ((((x)))) ) into just the scalar. Error if called with anything else.

Make scalar called with non-singleton input

If the input is a positive integer, reports a list of the numbers from 1 to that input. (If the input is 0, reports an empty list.) If the input is a list of positive integers, reports an array with the shape specified by the input (as in ⍴ reshape) in which each item is a list of the indices of that item in the array (so technically the shape has one more dimension than the input, whose size is the size of the input). If the input is a list that includes 0, the result is an array whose shape is the part of the input list before the 0, in which every element is empty. If you'd like some other value in every element, MD-MAP a constant function over the result. For list inputs, the size of the result grows very quickly, more or less the factorial of the size of the input. Snap! will not attempt to compute a result bigger than a few million atomic items. ⍳(⍳ 9) will work (≈ 3 million atoms) but ⍳(⍳ 10) will give an error.

If the rank of the left input is one more than the rank of the right input, reports the index of the right input in the left input, or if not found, reports one more than the length of the left input. If the rank of the left input is equal to the rank of the right input, reports a vector of the indices of the items of the right input in the left input (mapping this function over the right input). If the rank of the left input is more than that of the right input by 2 or more, reports a vector, the location of the right input in the left in each dimension. It is an error if the rank of the left input is less than that of the right input.

1result

This isn't an APL function, although it's related to the outer product. It takes any number of lists, and reports a list of all possible tuples with one item from each of the lists. The length of the result is the product of the lengths of the inputs. The result gets very big very quickly. Snap! will refuse to do this computation if the result would be more than a few million atomic items. (crossproduct (⍳(⍳9))) makes about 3 million atomic items; (crossproduct (⍳(⍳10))) gives an error message.

Reports an array of Booleans the same shape as the left input, indicating which of the atoms in the left input appear anywhere in the right input. (The structure of the right input doesn't matter.)

Like append, but: A scalar input is treated as an array the same shape as the other input except that the last item of the shape is 1. If the two inputs are of different ranks, the function is mapped over the larger ranked input. Catenate adds new columns, by appending to each row.

If the input is a nesting of length=1 lists, which APL treats as a scalar (the innermost item) for many purposes, report that innermost scalar. Otherwise, report the input as is. Exposing this block for users is important because Snap! /does not/ treat such a nesting as a scalar, so you might need to use this in translating an APL program to Snap!. (But the functions in the APL library already use this block as needed.)

Reports a vector of indices of the items of the input, in order of the values of the items, so that item (grade up (foo)) of (foo) reports the items in sorted order, smallest to largest. For a matrix, sorts the rows based on their first items, or if those are equal, based on their second items, etc.

Compares two vectors for sorting. Compare first items; if those are equal compare second items; etc.

1111

Reports a vector of indices of the items of the input, in order of the values of the items, so that item (grade down (foo)) of (foo) reports the items in sorted order, largest to smallest. For a matrix, sorts the rows based on their first items, or if those are equal, based on their second items, etc.

The left input must be a vector of Booleans (either Snap! form or APL form); the right input must be an array whose first dimension is equal to the length of the left input. The block reports an array of the same rank as the right input, containing only those items (rows, for a matrix) for which the corresponding Boolean is True (or 1).

The left input must be a vector of Booleans (either Snap! form or APL form); the right input must be an array whose last dimension is equal to the length of the left input. The block reports an array of the same rank as the right input, containing only those items (columns, for a matrix) for which the corresponding Boolean is True (or 1).

Turns a row-wise (in Lisp terminology) function into a column-wise one.

Reverses the order of the columns of the input, which is a reflection through a vertical axis, as the ⏀ symbol suggests.

This function has two names because there are two ways to understand it. Lisp way: A matrix is a list of rows. This block turns it into a list of columns, and combines the numbers in each column, producing one value for the entire column. APL way: A matrix is made of vectors. This block takes each row as a vector, and does vector arithmetic on the rows, producing one row as the result.

Like append, but: A scalar input is treated as a vector of length 1. If the two inputs are of different ranks, the function is mapped over the larger ranked input. Catenate vertically adds new rows, by appending to each column.

A hyperblock version of JOIN. The regular JOIN isn't hyperized because it can accept a list as input, representing it as text.

A positive left input selects the first n items of the right input. A negative left input selects the last abs(n) items of the right input. If the right input is a matrix, a numeric left input selects rows; the left input may also be a two-item vector, in which case the first number is applied to the rows and the second number is applied to the columns. Similarly for higher-dimension arrays.

valueindex

A positive left input selects all but the first n items of the right input. A negative left input selects all but the last abs(n) items of the right input. If the right input is a matrix, a numeric left input selects rows; the left input may also be a two-item vector, in which case the first number is applied to the rows and the second number is applied to the columns. Similarly for higher-dimension arrays.

valueindex

Throw 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 _

Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

ca:ordena _ segons criteri _ copy of datasplitmerge11#1#2

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation). Will not work on circular lists.

(

)

The identity function reports its input.

Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)

Takes a dyadic scalar function as input, and hyperizes it, so that it can take lists as inputs. Don't use on slow functions (this has compiled map calls). Meant for use on primitives.

Computes logarithms in any base. The base is the left input. It's usual in APL that if there's a main data input and some sort of control input, the latter comes on the left. This is because APL syntax, unless you use parentheses, groups computations from right to left. APL has a monadic version of this function that computes natural logs (log to the base e).

Computes the number of combinations of right-input things taken left-input at a time, otherwise known as the elements of Pascal's triangle. This block shares the ! symbol with the monadic factorial function, because the formula for computing this function uses factorials.

The factorial of a positive integer n is the product of the integers from 1 to n. In real APL, the domain of this function is extended beyond integers to compute the gamma function.

Acts just like the function selected from the pulldown menu, but hyperized, so comparing two equal-sized lists reports a list of the same length as the inputs, with the results of item-by-item comparisons.

﹦﹦ ≠ identical to and or is _ a _?

Reports the greatest common divisor of its inputs. If the inputs are values in {0,1} then this is equivalent to the logical OR of the values, with 0=False, 1=True. Hence the APL symbol ∨. Also accepts Snap! Booleans as inputs.

Reports the least common multiple of its inputs. If the inputs are values in {0,1} then this is equivalent to the logical AND of the values, with 0=False, 1=True. Hence the APL symbol ∧. Also accepts Snap! Booleans as inputs.

Reports 1 if the input is False or 0; otherwise reports 0.

Reports its input. This is useful to fit a value into a different-type input slot, e.g., number into list slot.

Report a list with left-input random integers in the range 1 to right-input. No number appears more than once in the result. The left input must be less than or equal to the right input.

Given two arrays A and B, reports an array whose dimensions are APPEND(SHAPE OF (A), SHAPE OF (B)) in which each atomic item of the result is computed by applying the dyadic function input to an item of A and an item of B.

ca:fixa el llapis de color _ grays={ 0 black #000000=0 1 gray7 #121212=1 2 gray14 #242424=2 3 gray21 #363636=3 4 gray28 #484848=4 5 gray36 #5c5c5c=5 6 gray43 #6d6d6d=6 7 gray50 #7f7f7f=7 8 gray57 #919191=8 9 gray64 #a3a3a3=9 10 gray71 #b5b5b5=10 11 gray78 #c8c8c8=11 12 gray85 #dadada=12 13 gray92 #ececec=13 14 white #ffffff=14 } pinks={ 15 deep pink #ff1493=15 16 hot pink #ff69b4=16 17 bright pink #ff007f=17 18 raspberry #e30b5d=18 19 amaranth #e52b50=19 } reds={ 20 red #ff0000=20 21 burgundy #900020=21 22 cherry #990000=22 23 dark candy apple red #a40000=23 24 sanguine #c00000=24 25 maroon #800000=25 26 crimson #c90016=26 27 Lists #d94d11=27 28 candy apple red #ff0800=28 29 coquelicot #ff3800=29 } browns={ 30 saddle brown #8b4513=30 31 chocolate #7b3f00=31 32 kobicha #6b4423=32 33 sepia #704214=33 34 chestnut #954535=34 35 dark brown #654321=35 36 brown #964b00=36 37 golden brown #996515=37 38 cinnamon #b87333=38 39 copper #d2691e=39 } oranges={ 40 orange #ff7f00=40 41 Pantone orange #ff5800=41 42 pumpkin #ff7518=42 43 Variables #f3761d=43 44 Spanish orange #e86100=44 45 burnt orange #cc5500=45 46 sinopia #cb410b=46 47 ochre #cc7722=47 48 carrot #ed9121=48 49 tangerine #f28500=49 } yellows={ 50 yellow #ffff00=50 51 Control #e6a822=51 52 dark goldenrod #b8860b=52 53 goldenrod #daa520=53 54 saffron #f4c430=54 55 sandstorm #ecd540=55 56 mustard #ffdb58=56 57 gold #ffd700=57 58 egg yolk #fee33e=58 59 rubber duck #fbe108=59 } greens={ 60 lime #00ff00=60 61 apple green #8db600=61 62 Operators #62c213=62 63 forest green #228b22=63 64 green #008000=64 65 dark green #006400=65 66 dark pastel green #03c03c=66 67 emerald #50c878=67 68 mint #3eb489=68 69 Pen #00a178=69 } cyans={ 70 aqua (cyan) #00ffff=70 71 dark cyan #008b8b=71 72 cerulean #007ba7=72 73 iceberg #71a6d2=73 74 Sensing #0494dc=74 75 teal #008080=75 76 light sky blue #87cefa=76 77 deep sky blue #00bfff=77 78 dodger blue #1e90ff=78 79 azure #007fff=79 } blues={ 80 blue #0000ff=80 81 midnight blue #191970=81 82 dark powder blue #003399=82 83 cobalt #0047ab=83 84 denim #1560bd=84 85 navy blue #000080=85 86 steel blue #4682b4=86 87 Motion #4a6cd4=87 88 cornflower #6495ed=88 89 slate blue #6a5acd=89 } purples={ 90 violet #8000ff=90 91 Looks #8f56e3=91 92 grape #6f2da8=92 93 indigo #4b0082=93 94 x11 purple #a020f0=94 95 magenta (fuchia) #ff00ff=95 96 dark orchid #9932cc=96 97 Sound #cf4ad9=97 98 purple #7f007f=98 99 dark magenta #8b008b=99 }

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150,gray59150,150,150,grey59153,153,153,gray60153,153,153,grey60156,156,156,gray61156,156,156,grey61158,158,158,gray62158,158,158,grey62161,161,161,gray63161,161,161,grey63163,163,163,gray64163,163,163,grey64166,166,166,gray65166,166,166,grey65168,168,168,gray66168,168,168,grey66171,171,171,gray67171,171,171,grey67173,173,173,gray68173,173,173,grey68176,176,176,gray69176,176,176,grey69179,179,179,gray70179,179,179,grey70181,181,181,gray71181,181,181,grey71184,184,184,gray72184,184,184,grey72186,186,186,gray73186,186,186,grey73189,189,189,gray74189,189,189,grey74191,191,191,gray75191,191,191,grey75194,194,194,gray76194,194,194,grey76196,196,196,gray77196,196,196,grey77199,199,199,gray78199,199,199,grey78201,201,201,gray79201,201,201,grey79204,204,204,gray80204,204,204,grey80207,207,207,gray81207,207,207,grey81209,209,209,gray82209,209,209,grey82212,212,212,gray83212,212,212,grey83214,214,214,gray84214,214,214,grey84217,217,217,gray85217,217,217,grey85219,219,219,gray86219,219,219,grey86222,222,222,gray87222,222,222,grey87224,224,224,gray88224,224,224,grey88227,227,227,gray89227,227,227,grey89229,229,229,gray90229,229,229,grey90232,232,232,gray91232,232,232,grey91235,235,235,gray92235,235,235,grey92237,237,237,gray93237,237,237,grey93240,240,240,gray94240,240,240,grey94242,242,242,gray95242,242,242,grey95245,245,245,gray96245,245,245,grey96247,247,247,gray97247,247,247,grey97250,250,250,gray98250,250,250,grey98252,252,252,gray99252,252,252,grey99255,255,255,gray100255,255,255,grey100169,169,169,darkgrey169,169,169,darkgray0,0,139,darkblue0,139,139,darkcyan139,0,139,darkmagenta139,0,0,darkred144,238,144,lightgreen0,0,0,black,018,18,18,gray7,136,36,36,gray14,254,54,54,gray21,372,72,72,gray28,492,92,92,gray36,5109,109,109,gray43,6127,127,127,gray50,7145,145,145,gray57,8163,163,163,gray64,9181,181,181,gray71,10200,200,200,gray78,11218,218,218,gray85,12236,236,236,gray92,13255,255,255,white,14255,20,147,deep pink,15255,105,180,hot pink,16255,0,127,bright pink,17227,11,93,raspberry,18229,43,80,amaranth,19255,0,0,red,20144,0,32,burgundy,21153,0,0,cherry,22164,0,0,dark candy apple red,23192,0,0,sanguine,24128,0,0,maroon,25201,0,22,crimson,26217,77,17,Lists,27255,8,0,candy apple red,28255,56,0,coquelicot,29139,69,19,saddle brown,30123,63,0,chocolate,31107,68,35,kobicha,32112,66,20,sepia,33149,69,53,chestnut,34101,67,33,dark brown,35150,75,0,brown,36153,101,21,golden brown,37184,115,51,cinnamon,38210,105,30,copper,39255,127,0,orange,40255,88,0,Pantone orange,41255,117,24,pumpkin,42243,118,29,Variables,43232,97,0,Spanish orange,44204,85,0,burnt orange,45203,65,11,sinopia,46204,119,34,ochre,47237,145,33,carrot,48242,133,0,tangerine,49255,255,0,yellow,50230,168,34,Control,51184,134,11,dark goldenrod,52218,165,32,goldenrod,53244,196,48,saffron,54236,213,64,sandstorm,55255,219,88,mustard,56255,215,0,gold,57254,227,62,egg yolk,58251,225,8,rubber duck,590,255,0,lime,60141,182,0,apple green,6198,194,19,Operators,6234,139,34,forest green,630,128,0,green,640,100,0,dark green,653,192,60,dark pastel green,6680,200,120,emerald,6762,180,137,mint,680,161,120,Pen,690,255,255,aqua,700,139,139,dark cyan,710,123,167,cerulean,72113,166,210,iceberg,734,148,220,Sensing,740,128,128,teal,75135,206,250,light sky blue,760,191,255,deep sky blue,7730,144,255,dodger blue,780,127,255,azure,790,0,255,blue,8025,25,112,midnight blue,810,51,153,dark powder blue,820,71,171,cobalt,8321,96,189,denim,840,0,128,navy blue,8570,130,180,steel blue,8674,108,212,Motion,87100,149,237,cornflower,88106,90,205,slate blue,89128,0,255,violet,90143,86,227,Looks,91111,45,168,grape,9275,0,130,indigo,93160,32,240,x11 purple,94255,0,255,magenta,95153,50,204,dark orchid,96207,74,217,Sound,97127,0,127,purple,98139,0,139,dark 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