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

hue10360hue10360hue10360hue10360

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 _

0AP 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,F072