data:image/png;base64,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HyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQIHLFxAWmhEwHPAAAAAElFTkSuQmCCTake any number of input lists, and create a new list containing the items of the input lists. So
APPEND [A B] [C D]
where the [,,,] are lists reports the list
[A B C D]
not [[A B] [C D]].11111A,B,C,D,F