data:image/png;base64,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data:image/png;base64,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hue103602hue103603hue103604hue103605

hue103602hue103603hue103604hue103605

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 _ 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