data:image/png;base64,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

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 ca:_ sense la primera lletra es:todos menos la primera letra de _ pl:_ bez pierwszej litery All but first of empty word.letterTakes 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 ca:_ sense la primera paraula es:todas menos la primera palabra de _ pl:_ bez pierwszego słowa 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 ca:_ sense la darrera lletra es:todos menos la última letra de _ pl:_ bez ostatniej litery reversereverseAll but first of empty word.letterTakes 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 ca:_ sense la darrera paraula es:todos menos la última palabra de _ pl:_ bez ostatniego słowa reversereverseAll but last of empty sentence.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 only the first word, with no spaces before or after it.

pt:a primeira palavra de _ ca:primera paraula de _ es:primera palabra de _ pl:pierwsze słowo _ Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ ca:primera lletra de _ es:última letra de _ pl:ostatnia litera _ length0lengthTakes 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 only the last word of the input, with no spaces before or after it.

pt:a última palavra de _ ca:darrera paraula de _ es:última palabra de _ pl:ostatnie słowo _ lastLast of empty sentence.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 ca:paraula buida? _ es:¿palabra vacía? _ pl:puste słowo? _ length0Takes 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 ca:frase buida? _ es:¿oración vacía? _ pl:puste zdanie? _ 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 _ pl:połącz słowa _ firstbffirst1list11bf 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 _ pl:lista $arrowRight zdanie _ 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 _ pl:zdanie $arrowRight lista _ 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 _ pl:słowo $arrowRight lista _ letterjoin 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 _ pl:lista $arrowRight słowo _ listlistSENTENCE 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.

ca:frase _ es:oración _ pl:zdanie _

pt:lança o erro _ pl:błąd _ Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation).

ca:notació textual de _ es:imprimible _ pl:tekstowa _ ( )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.

es:requerir no vacío _ _ Takes a text string as input, and reports the first character in the string.

pt:a primeira palavra de _ ca:primera lletra de _ es:primera letra de _ pl:pierwsza litera _

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if user inputs a valid letter if it inputs lets say, a number, itll mark it as invalid so a guess isnt wasted Checks if a guess was repeated Checks if their guess is correct Checks if their guess is wrongRecieves a message from thhe host so can introduce itself After intro it sends a message back to host so theycan tell player how many letters in secret wordguesssending a message to the host to ask for a 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