data:image/png;base64,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Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.pt:o texto de _ antes de _
ca:part del text _ anterior a _
If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default.
If input is FALSE, comparisons will be exact.pt:altera comparações ignorando distinção minúsculas/maiúsculas para _
ca:ignora la diferenciació de majúscules _
Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.ca:elimina els duplicats de _
Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.ca:ordena _ segons criteri _
The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.ca:associació _ _
This block carries out the given script for each item of the given list, like the primitive FOR EACH.
What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.ca:_ per cada _ de _ _
1ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc.
Viewing the inputs as the rows of a matrix, ZIP reports its transpose.The identity function reports its input.Takes as input a function of N inputs and N lists.
The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)ca:multi-mapeja _ sobre _
de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ und warte
pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera
ca:digues _ amb accent _ _ to _ velocitat _ i espera
Hello, World!en-USالعربية=ar
Български=bg
বাংলা=bn
Català=ca
Català - Valencià=ca-VA
Česky=cs
Deutsch=de
Dansk=dk
Ελληνικά=el
English-American=en-US
English-British=en-GB
Esperanto=eo
Español=es
Eesti=et
Euskara=eu
suomi=fi
Français=fr
Galego=gl
Hrvatski=hr
Magyar=hu
Interlingua=ia
Bahasa Indonesia=id
Italiano=it
日本語=ja
にほんご=ja-HIRA
ಕನ್ನಡ=kn
한국어=ko
Malayalam=ml
Nederlands=nl
Norsk=no
Polski=pl
Português=pt
Português do Brasil=pt-BR
Român=ro
Русский=ru
Slovenščina=si
svenska=sv
Tamil=ta
Telagu=te
Türkçe=tr
Українська=ua
简体中文=zh-CN
繁體中文=zh-TW11Takes 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.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
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
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 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
All but last of empty sentence.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 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 _
report a list in which each item is one letter from the input wordde: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 itde:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
pt:uma palavra com os caracteres em _
Takes a (possibly deep) list as input,
and reports a human-readable text form
of the list (namely, Lisp notation).ca:notació textual de _
()Takes a text string as input, and reports the first character in the string.pt:a primeira palavra de _
ca:primera lletra de _
For use with the CASES block.
See its help message.pt:senão, se _ , então _
ca:altrament si _ llavors _
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 last word of the input, with no spaces before or after it.pt:a última palavra de _
ca:darrera paraula de _
Last of empty sentence.de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _
pt:fala _ na língua _ _ com tom _ e velocidade _
ca:digues _ amb accent _ _ to _ i velocitat _
Hello, World!en-USالعربية=ar
Български=bg
বাংলা=bn
Català=ca
Català - Valencià=ca-VA
Česky=cs
Deutsch=de
Dansk=dk
Ελληνικά=el
English-American=en-US
English-British=en-GB
Esperanto=eo
Español=es
Eesti=et
Euskara=eu
suomi=fi
Français=fr
Galego=gl
Hrvatski=hr
Magyar=hu
Interlingua=ia
Bahasa Indonesia=id
Italiano=it
日本語=ja
にほんご=ja-HIRA
ಕನ್ನಡ=kn
한국어=ko
Malayalam=ml
Nederlands=nl
Norsk=no
Polski=pl
Português=pt
Português do Brasil=pt-BR
Român=ro
Русский=ru
Slovenščina=si
svenska=sv
Tamil=ta
Telagu=te
Türkçe=tr
Українська=ua
简体中文=zh-CN
繁體中文=zh-TW11For use with the CASES block.
See its help message.pt:senão, _
ca:si no _
Multi-branched conditional.
If the first (Boolean) input is True, then the script in
the second (C-slot) input is run, and this block stops.
Additional tests can be added by putting one or more
ELSE IF blocks in the third (variadic) Boolean slot.
Use the arrowheads to get the number of Boolean
slots you need. Each ELSE IF block provides a Boolean
slot for a condition to test and a script slot for what to do
if the condition is True. You can put an ELSE block in
the last Boolean input to CASES for a script to run if
all the tests turn out False.
As soon as a condition is True, no further tests are done
and no further scripts are run.pt:se _ , então _ _
ca:casos: si _ llavors _ _
pt:lança _
ca:llança _
catchtagpt:captura _ _
ca:agafa _ _
contpt:o texto multilinha _
ca:multilínia _
falseReports True if the first input string contains the second input string, otherwise false.
Comparison is case-independent by default; use USE CASE-INDEPENDENT COMPARISONS to change that.pt:o texto de _ antes de _
ca:text _ conté _ ?
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? _
0truethis is finefalsethis is fineworldwordpartsentenceresultparts dictssentenceresultparts dictsitemTakes 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? _
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 _
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 _
firstbffirst111bfTakes 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 _
pt:lança o erro _
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.falseReports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.pt:o texto de _ depois de _
ca:part del text _ posterior a _
Reports the character position (starting from 1) of the beginning of the first input string inside the second input string.
If it's not found, reports 0.pt:a posição de _ em _
ca:posició de _ en _
ca:comparacions ignorant majúscules?
err_resetReports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.pt:em minúsculas _
ca:_ a minúscules
Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string.
If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.pt:o texto de _ entre as posições _ e _ , inclusive
ca:part del text _ des de la posició _ fins _
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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==promptGo awaywho
are
you* first My name is * nameBert
Ernie
Big BirdOscar
grouchname
called
nombre
je m'appeleI don't care what you call yourself. Just go awayhappens
alwaystruewho
are
youmy
name
isI
alwaysshe
alwayshe
alwayshappens
alwaysmichigan
Michigan
Arborfather
dad
mother
momtruepretty
shiny
blue
goldquickly
slowly
lazilyA
Themouse
cat
rat
studentruns
jumps
speaksscreams
shouts
threatensnoun,adjective,article,verb,adverb"mouse
cat
rat
student","pretty
shiny
blue
gold","A
The","runs
jumps
speaks","quickly
slowly
lazily"The Mongrel
That Floppy-eared Fool
Worst Kind of Dog
Your Dog
DogA Cat that Cares
Top Feline
Smart Cat
Your Cat
Catis only in it for fame and glory
is a career politician
is a total insider
only cares about special interestscares about you
will save your jobs
will save your homes
will make your lives betterI heard about a student that threatens all the time, sounds like someone I'd likebrianI,youyou,Ime,youam,arewas,weremy,your