data:image/png;base64,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

You guessed it in guesses.3

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ 121

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _

Compute the input expression, but ignore the value it reports. Instead this block reports how many milliseconds it took to perform the computation.

Reports True iff the second item (a number) is equal to the number of letters in the first item (a word).

false

Insertion sort: Split the input into item 1 (which might not be the smallest) and all the rest of the list. Recursively sort the rest of the list, then insert the one left-over item where it belongs in the list, like adding a card to the hand you've already sorted in a card game, or putting a book away in a sorted bookshelf.

insert one additional value into its correct position in a list that's already in ascending order.

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

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1030601