data:image/png;base64,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data:image/png;base64,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

410

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 _ return

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 _

LET (FOO) BE (5) is equivalent to SCRIPT VARIABLES (FOO) SET (FOO) TO (5)

pt:cria a variável de guião _ com valor _

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.

err