data:image/png;base64,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

ca:comparacions ignorant majúscules? err_reset

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 _

Reports 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 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 _ ?

timer_end

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