data:image/png;base64,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2

2

1

false

11Takes 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 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 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 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 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 _ Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ ca:primera lletra de _ 0Takes 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 _ 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? _ 0Takes 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? _ 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 _ 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 _ 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 _ 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 _ 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 _

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

ca:notació textual de _ ( )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 _ ca:primera lletra de _

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==these 2 could be abstracted by creating custom blocksthis assumes that the number last in the password, so this should be articulated upon opening of the doccument.needsMoreCharactersneedsMoreCharacters8itemmissingTextitemPasswordsAtRiskYou have length passwords at risk.2Would you like to manually edit you passcodes or auto-generate new ones? Enter Y to replace the at risk passwordsYi1lengthlastnumberfalseThis section checks through the original password list AFTER the new, secure passwords have been added. This time, the ones being deleted are the duplicates.PasswordsAtRiskasdkhd193,microphone^&*1,community!@!4abc,abc,123,123