data:image/png;base64,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

pt:os dados JSON _ em formato de lista

pt:o valor com chave _ em _

pt:a resposta a _ de _ enviando _ e cabeçalhos _ GETGET POST PUT DELETEhttps://snap.berkeley.edu

pt:um par (chave: _ , valor: _ ) Reports a three-item list containing the latitude and longitude of the user, and the precision of the measurements. Works only if the user allows snap.berkeley.edu access to location data. Some browsers also require an HTTPS connection to Snap!.

pt:a localização actual do dispositivo

octetbyte octet short unsigned short long unsigned long unrestricted float unrestricted double bigint

This block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list). If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.

pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite scriptThis block deletes all the variables with the names given (inside input list). Each name will make only one variable deletion, and this will be the variable found following the scope order: 'script' -> 'sprite' -> 'global'. If we have a "testing" sprite variable and also a "testing" global one, deleting "testing" will delete only the sprite one (Yes! we can also do "delete var (testing, testing)" to delete both. If one variable does not exists (in any scope) an error happens, stopping block action in that point. You can check it before with the "does var (name) exists?"block.

pt:remove as variáveis _ ca:esborra les variables _ es:borrar variables _ de:löschen var _ This block sets the given value (last input) to the variable named with the name givent (var input). It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.

ca:assigna a _ el valor _ es:asignar a _ el valor _ pt:altera _ para _ de:setze var _ auf _ §_getVarNamesDictThis block reports the value of the variable with the name given. It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.

pt:o valor de _ §_getVarNamesDictThis block reports "true" if there is a variable with this given name (input slot) in that context. It can be a global, sprite or script variable. Otherwise it reports "false".

pt:a variável _ existe ca:existeix la variable _ ? es:existe la variable _ ? de:existiert var _ ? err_resetThis block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input). It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'. No errors if that variable does not exist.

ca:mostra la variable _ es:mostrar variable _ pt:mostra a variável _ de:zeige var _ §_getVarNamesDictThis block turns off (hide) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input). It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'. No errors if that variable does not exist.

ca:amaga la variable _ es:esconder variable _ pt:esconde a variável _ de:verstecke var _ §_getVarNamesDict

ca:desa clau: _ amb valor: _ al navegador

ca:dades desades al navegador

ca:esborra clau: _ del navegador

ca:esborra dades del navegador Reports the value previously stored under the input key in the browser's local storage. Reports False if the key is not found.

ca:obté valor de clau: _ al navegador

user,pass

This block sets the given value (last input) to the variable named with the name givent (var input). It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.

ca:assigna a _ el valor _ es:asignar a _ el valor _ pt:altera _ para _ de:setze var _ auf _ §_getVarNamesDict

globalglobal sprite script

error

Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _ pl:bezpiecznie spróbuj _ a jeśli _ _ Throw an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _ pl:błąd _ Catch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

ca:prova de forma segura reportant _ i si _ reportant _ pl:bezpiecznie spróbuj zgłosić _ a jeśli _ zgłoś _ errList of (topicour list

falselist

last list,i,list length

1i11This does some advanced calls to give you different messages about looking at the code and then logging in.

response

trueAI messagetextlength0error

5$_number§_typesMenu

itemdata:image/png;base64,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**Life is an Adventure** Here's a list of fun strings on the topic of Life: ``` [ "What's the key to happiness?", "Practice Gratitude", "Why is self-care essential?", "To Maintain Overall Well-being", "What's the difference between hope and faith?", "Hope is a Feeling, Faith is a Commitment", "Why do we need to take breaks?", "To Recharge and Refresh", "How can we improve our mental health?", "Through Mindfulness and Self-Care", "What's the importance of living in the present?", "To Enjoy Life's Simple Pleasures" ] ```0