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:image/png;base64,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

pt:o texto multilinha _

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 _

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 _

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 _

If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default. If input is FALSE, comparisons will be exact.

pt:altera comparações ignorando distinção minúsculas/maiúsculas para _

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

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 _

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 _

103602103603103604103605

3320AP CSP,1637,5,MAP CSP,1002,5,FAP CSP,2414,4,MAP CSP,692,4,FAP CSP,4133,3,MAP CSP,650,3,FAP CSP,1861,2,MAP CSP,369,2,FAP CSP,906,1,MAP CSP,607,1,F109511637,2414,4133,1861,9061002,692,650,369,607