Look inside.
The project offers “deep” versions of list operations like MAP, KEEP and SHUFFLED - working not only on a list’s top level, but also on sublists, or items thereof.
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Look inside.
The project offers “deep” versions of list operations like MAP, KEEP and SHUFFLED - working not only on a list’s top level, but also on sublists, or items thereof.
Like regular KEEP, but works on items of sublists, too. The specified predicate (1st argument) will not be applied on sublists as a whole, of course. Sublists from which no items are kept will be discarded.11Like regular FIND FIRST I/TEM (predicate) IN (data), but sublists will be searched as well.
SEARCH METHOD Depth first.11Like regular COMBINE, but works on sublists, as well.
HOW: Sublists are processed first, then the result is used in combining the main list.
WARNING: Depending on the function (argument 2), may produce unintended results00
1Reports the position of an item within a list of lists.
OUTPUT
Item 1 is the position of the item, or the (sublist) containing it, within the top level list,
Item 2 is the position of the item (...) within the list that item 1 refers to. (etc.)
SEARCH METHOD Depth first.
EXAMPLE: DEEP INDEX OF 4 IN ((1 2 3) (A B 4 5)) = (2 3)tail index+levelsub indexsub index11See DEEP INDEX for help on deep index lists.
HOW: recursive.
ADAPTED FROM: cornelios207.1Like regular [shuffled] OF (), but works on sublists, as well.Like regular MAP, but works on items of sublists, too. The specified function (1st argument) will not be applied on sublists as a whole, of course.Like regular [reverse] OF (), but works on sublists, as well.Like regular [sorted] OF (), but works on sublists, as well.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 _
501de:Grad _
ca:graus de _ radians
pt:_ radianos em graus
0.5de: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
}
elasticde: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-outquadratic-inquadratic-in-outcubic-outcubic-incubic-in-outquart-outquart-inquart-in-outsine-outsine-insine-in-outelasticunknown easing function ""Like regular DELETE but takes variadic input (or an input list) instead of a single item number.
EXAMPLE:
DEEP DELETE input list (2 3) OF (data) means DELETE ITEM (3) OF (ITEM (2) OF (data))Like regular INSERTbut takes variadic input (or an input list) instead of a single item number.
EXAMPLE:
DEEP INSERT (thing) AT input list (2 3) OF (data) means INSERT (thing) AT (3) OF (ITEM (2) OF (data))thing1truedata:image/png;base64,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30.5linear-11falsetruetruefalse