You can take a picture and view it with this program. It works by saving the pixels to the browser cache.data:image/png;base64,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You can take a picture and view it with this program. It works by saving the pixels to the browser cache.

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

takes a snapshot with the webcam and reports it as a new costume, or zero if the user cancels

pt:$camera a imagem actual do vídeo

§_costumesMenu

§_costumesMenuthing

frame

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 script

This 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 _ §_getVarNamesDict

This 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 _ §_getVarNamesDict

This 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_reset

This 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 _ §_getVarNamesDict

This 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

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _ A72

§_costumesMenu2002Use this block to make "clickable" buttons:

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