Converted by Snapinatordata:image/png;base64,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Converted by Snapinator

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 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 _ ?

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

ca:comparacions ignorant majúscules? err_reset

100100

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