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data:image/png;base64,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Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.
ca:elimina els duplicats de _ 1Reports 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#2The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.
ca:associació _ _ 11This 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 _ _
de:$flash umgekehrt _ pt:$flash uma lista inversa de _ ca:$flash capgira _
1Takes 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.
( )SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.
ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.
1The 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 sentence in text string form and reports the sentence as a list of its words.
de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _
de:animiere Setter _ Getter _ Delta _ über _ Sek. beschleunigt _ ca:modifica setter _ i getter _ amb delta _ en _ segons de forma _ pt:anima com modificador _ e inspector _ de _ em _ s de forma _ 501
de:Grad _ ca:graus de _ radians pt:_ radianos em graus 0.5
de:Fehler _ pt:assinala o erro _
de:gleite _ in _ Sek. beschleunigt: _ ca:llisca _ en _ segons de forma _ fr:glisser _ en _ sec. accélérer _ pt:desliza _ em _ s de forma _ 501linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elastic
de:animiere _ um _ in _ Sek. beschleunigt: _ ca:modifica _ amb _ en _ segons de forma _ pt:anima _ de _ em _ s de forma _ x positionx position y position direction size ghost effect color effect saturation effect brightness effect fisheye effect whirl effect pixelate effect mosaic effect negative effect tempo volume balance501linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticy positiondirectionsizetempovolumebalance1 12
de:Beschleunigung _ ca:de forma _ pt:a forma _ linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticquadratic-inquadratic-outquadratic-in-outcubic-incubic-outcubic-in-outquart-inquart-outquart-in-outsine-insine-outsine-in-outelasticunknown easing function ""
de:für _ = _ bis _ _ in _ Sek. beschleunigt: _ _ ca:per _ = _ fins _ _ en _ segons de forma _ _ pt:para _ de _ a _ _ em _ s de forma _ _ 01001linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elastic-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1552.0078216634572,1543.1311673490984,1541.3816639459683,1530.488310332065,1520.384282531801,1508.9283092457963,1500.3640103598257,1490.4502883657876,1474.9459210643256,1471.5185093961009,1458.974083640953,1452.8418306550047,1443.9432633590586,1435.107281947601,1427.0075465779557,1415.4709660121807,1410.3116422198552,1397.4944805547113,1389.6332071709744,1386.060224399611,1378.9595488434345,1371.2720607661684,1363.646835485383,1356.7126385543431,1349.2096986400943,1337.3906222374442,1335.6248703404976,1328.9169597668094,1322.2665304845495,1312.073651064152,1306.1311656541181,1303.2548166354102,1297.4183878608967,1282.455198124718,1276.7273363068878,1271.0523385563054,1265.4309161015562,1259.863786090304,1254.35167141355,1248.8953005172764,1244.0328340211495,1239.2166528058146,1233.9202845676127,1228.6824751511635,1224.0191359664864,1219.4043897250403,1214.334559236815,1209.824219556471,1205.3642033402098,1200.9550712505995,1196.5973857697863,1192.2917109917528,1188.0386124062616,1183.838656674443,1179.6924113959979,1176.0524097021532,1172.4556943557307,1168.4616278234098,1164.9582226658044,1161.0701447480355,1157.6618529977402,1154.2989434055194,1150.5704112376839,1147.30525845417,1144.086727891521,1140.5221003584636,1137.4039503479046,1134.333650707743,1131.311591025608,1128.3381589088574,1125.4137397911788,1122.5387167361775,1119.7134702380968,1116.9383780198345,1114.5516091894976,1112.2037757534447,1109.5685304032174,1106.9848275934467,1104.7666530880686,1103.2321609149042,-1,-1,1102.7064877294604,1100.7086568815396,1098.4755947197461,1096.5658126388128,1094.433947896883,1092.613204918592,-1,-1,-1,-1,-1,-1,1076.5034297186855,-1,-1,1070.0780817690043,-1,1067.4591325147169,1070.3293167045601,1071.1005143924676,1069.9468497010162,1068.6829960498417,1061.5431604335686,1066.6120403186465,1063.6623887892192,-1,-1,-1,1058.2485331229286,1057.5045659996697,1056.8064422416576,1056.1542527570439,-1,-1,1052.47904344719,-1,1051.6458052949838,1055.2582063221926,1056.92163746651,1056.6339465482872,1056.3925625692036,1056.1975172783018,1056.0488363509373,1055.9465393718988,-1,-1,-1,1052.0018336781989,1052.1105796008305,1052.2806759421728,1052.497301761214,-1,-1,-1,-1,-1,-1,1057.3068293873418,1057.8930384128794,-1,-1,1055.843435321876,1060.6966945058864,1061.5118590901534,-1,-1,1062.1104569017946,1063.1023336976825,1064.1393335305197,1065.2213246176116,-1,-1,-1,1068.2143448576967,-1,-1,1076.4069411193013,1077.8533537282015,-1,-1,1078.5586061687216,1084.3065916815356,-1,-1,-1,1089.5614718333645,1091.407417125707,1093.5681208859119,1095.5031648841843,-1,-1,1099.9430217777663,-1,1104.5097035661847,1107.020672857015,1109.2604380334305,1111.8686092551832,1114.5281015335559,-1