Converted by Snapin8r.data:image/png;base64,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 by Snapin8r.

pt:o texto multilinha _ ca:multilínia _ Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.

pt:o texto de _ antes de _ ca:part del text _ anterior a _ Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.

pt:o texto de _ depois de _ ca:part del text _ posterior a _ 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 portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string. If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.

pt:o texto de _ entre as posições _ e _ , inclusive ca:part del text _ des de la posició _ fins _ 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 _ ? 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am penguin! What is your name?It is nice to meet you .2How old are you?19I defeat evil forces to save humanity! What do you like to do?Wow. That is cool that you like to .2Tell me moreNoI must go slide down a glacier. Good day.234