data:image/png;base64,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data:image/png;base64,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

This "if block" is above all the other guess checks to check for an incorrect guess everytimeThis checks the position of the guessed letter then replaces the __ in the l list with that letter with the position that was checked through the i variablei1

_falseThis "if block" is last and decides if the word is fully guessed if there are any __ in the l list. Also it keeps saying the guessed word because there's no "say __" in this blockGuessedThe "if block" is first to check if the letter has alerady been guessed. If not, the letter gets added to the guessed list4321Works but it's very weird. -BrotherThis cycles through each costume until it reaches the last, where it broadcasts a lose. Also each face is bigger than the previous to make the player more nervous for each incorrect guess

Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere strreturn str.slice(1);

All but first of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE➞LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a primeira palavra

All but first of empty sentence.

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere strreturn str.slice(0,-1);

All but last of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra

arrreturn new List(arr.asArray().slice(0,-1));

All but last of empty sentence.

1 11 1

pt:a primeira palavra de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ 0

pt:a última palavra de _

Last of empty sentence.

1 1

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia 0

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia

Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs. Consider using SENTENCE (Lists palette) instead.

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ firstbffirst1

1bf

Takes a sentence in list form and reports the sentence as a text string.

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

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 _

report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _

join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

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.

pt:lança o erro _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation).

(

)

Helper function for word/sentence library. Reports its first input, unless that input is empty, in which case it gives its second input as an error message.

Takes a text string as input, and reports the first character in the string.

pt:a primeira palavra de _

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