data:image/png;base64,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mid2To be coded :This block will search the second parameter inside the list and if it is found will reort the index where the element was found. If it didn't find it, will report 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gQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==false59,52,45,55,95,17,43,50,42,32,33,65,56,25,87,16,10,63,81,9111111