expected <- eval(parse(text="structure(c(414L, 219L, 373L, NA, NA, NA, NA, NA, 439L, 8L, 26L, 152L, 241L, 249L, 322L, 350L, 382L, NA, NA, NA, NA, NA, NA, NA, 388L, NA, NA, NA, NA, NA, NA, NA, 383L, 246L, 253L, NA, NA, NA, NA, NA, 364L, NA, NA, NA, NA, NA, NA, NA, 364L, 292L, NA, NA, NA, NA, NA, NA, 363L, NA, NA, NA, NA, NA, NA, NA, 349L, 294L, NA, NA, NA, NA, NA, NA, 371L, NA, NA, NA, NA, NA, NA, NA, 102L, 19L, NA, NA, NA, NA, NA, NA, 388L, 373L, NA, NA, NA, NA, NA, NA, 388L, NA, NA, NA, NA, NA, NA, NA, 363L, 211L, 260L, 265L, 269L, 307L, NA, NA, 367L, 82L, 114L, 337L, NA, NA, NA, NA, 365L, NA, NA, NA, NA, NA, NA, NA, 382L, 334L, 370L, NA, NA, NA, NA, NA, 362L, 18L, NA, NA, NA, NA, NA, NA, 373L, NA, NA, NA, NA, NA, NA, NA, 385L, 280L, NA, NA, NA, NA, NA, NA, 376L, NA, NA, NA, NA, NA, NA, NA, 360L, NA, NA, NA, NA, NA, NA, NA, 306L, NA, NA, NA, NA, NA, NA, NA, 160L, NA, NA, NA, NA, NA, NA, NA, 316L, 146L, NA, NA, NA, NA, NA, NA, 316L, NA, NA, NA, NA, NA, NA, NA, 315L, NA, NA, NA, NA, NA, NA, NA, 357L, NA, NA, NA, NA, NA, NA, NA, 360L, 267L, NA, NA, NA, NA, NA, NA, 347L, 206L, NA, NA, NA, NA, NA, NA, 353L, 175L, 280L, NA, NA, NA, NA, NA, 308L, NA, NA, NA, NA, NA, NA, NA, 327L, NA, NA, NA, NA, NA, NA, NA, 329L, NA, NA, NA, NA, NA, NA, NA, 343L, NA, NA, NA, NA, NA, NA, NA, 251L, 118L, 240L, NA, NA, NA, NA, NA, 318L, NA, NA, NA, NA, NA, NA, NA, 304L, NA, NA, NA, NA, NA, NA, NA, 316L, NA, NA, NA, NA, NA, NA, NA, 335L, NA, NA, NA, NA, NA, NA, NA, 365L, 274L, 361L, NA, NA, NA, NA, NA, 336L, NA, NA, NA, NA, NA, NA, NA, 350L, NA, NA, NA, NA, NA, NA, NA, 356L, 187L, NA, NA, NA, NA, NA, NA, 339L, NA, NA, NA, NA, NA, NA, NA, 301L, 6L, NA, NA, NA, NA, NA, NA, 330L, NA, NA, NA, NA, NA, NA, NA, 300L, NA, NA, NA, NA, NA, NA, NA, 300L, 146L, 188L, NA, NA, NA, NA, NA, 312L, 304L, NA, NA, NA, NA, NA, NA, 334L, NA, NA, NA, NA, NA, NA, NA, 270L, 52L, 65L, 255L, NA, NA, NA, NA, 347L, 67L, 248L, 250L, 284L, NA, NA, NA, 293L, NA, NA, NA, NA, NA, NA, NA, 303L, 265L, NA, NA, NA, NA, NA, NA, 337L, NA, NA, NA, NA, NA, NA, NA, 287L, 91L, 121L, 203L, NA, NA, NA, NA, 293L, NA, NA, NA, NA, NA, NA, NA, 293L, NA, NA, NA, NA, NA, NA, NA, 318L, NA, NA, NA, NA, NA, NA, NA, 359L, 318L, NA, NA, NA, NA, NA, NA, 351L, 57L, 121L, NA, NA, NA, NA, NA, 322L, 226L, NA, NA, NA, NA, NA, NA, 343L, 65L, NA, NA, NA, NA, NA, NA, 269L, NA, NA, NA, NA, NA, NA, NA, 286L, 264L, NA, NA, NA, NA, NA, NA, 286L, NA, NA, NA, NA, NA, NA, NA, 273L, NA, NA, NA, NA, NA, NA, NA, 297L, NA, NA, NA, NA, NA, NA, NA, 273L, 236L, NA, NA, NA, NA, NA, NA, 273L, NA, NA, NA, NA, NA, NA, NA, 273L, 207L, NA, NA, NA, NA, NA, NA, 294L, NA, NA, NA, NA, NA, NA, NA, 303L, NA, NA, NA, NA, NA, NA, NA, 281L, NA, NA, NA, NA, NA, NA, NA, 273L, NA, NA, NA, NA, NA, NA, NA, 255L, NA, NA, NA, NA, NA, NA, NA, 269L, NA, NA, NA, NA, NA, NA, NA, 270L, 23L, NA, NA, NA, NA, NA, NA, 270L, NA, NA, NA, NA, NA, NA, NA, 276L, NA, NA, NA, NA, NA, NA, NA, 264L, NA, NA, NA, NA, NA, NA, NA, 245L, NA, NA, NA, NA, NA, NA, NA, 261L, NA, NA, NA, NA, NA, NA, NA, 270L, NA, NA, NA, NA, NA, NA, NA, 273L, 113L, NA, NA, NA, NA, NA, NA, 306L, 99L, 306L, NA, NA, NA, NA, NA, 274L, NA, NA, NA, NA, NA, NA, NA, 279L, NA, NA, NA, NA, NA, NA, NA, 278L, 14L, NA, NA, NA, NA, NA, NA, 278L, NA, NA, NA, NA, NA, NA, NA, 284L, NA, NA, NA, NA, NA, NA, NA, 276L, NA, NA, NA, NA, NA, NA, NA, 265L, NA, NA, NA, NA, NA, NA, NA, 294L, NA, NA, NA, NA, NA, NA, NA, 277L, NA, NA, NA, NA, NA, NA, NA, 259L, NA, NA, NA, NA, NA, NA, NA, 287L, 4L, 159L, 213L, NA, NA, NA, NA, 263L, NA, NA, NA, NA, NA, NA, NA, 240L, 167L, NA, NA, NA, NA, NA, NA, 217L, NA, NA, NA, NA, NA, NA, NA, 271L, NA, NA, NA, NA, NA, NA, NA, 252L, NA, NA, NA, NA, NA, NA, NA, 331L, NA, NA, NA, NA, NA, NA, NA, 255L, NA, NA, NA, NA, NA, NA, NA, 271L, NA, NA, NA, NA, NA, NA, NA, 254L, NA, NA, NA, NA, NA, NA, NA, 185L, NA, NA, NA, NA, NA, NA, NA, 213L, NA, NA, NA, NA, NA, NA, NA, 210L, 165L, NA, NA, NA, NA, NA, NA, 203L, NA, NA, NA, NA, NA, NA, NA, 288L, NA, NA, NA, NA, NA, NA, NA, 269L, NA, NA, NA, NA, NA, NA, NA, 269L, NA, NA, NA, NA, NA, NA, NA, 91L, NA, NA, NA, NA, NA, NA, NA, 91L, NA, NA, NA, NA, NA, NA, NA, 192L, NA, NA, NA, NA, NA, NA, NA, 199L, NA, NA, NA, NA, NA, NA, NA, 195L, 11L, 22L, 169L, NA, NA, NA, NA, 198L, NA, NA, NA, NA, NA, NA, NA, 207L, NA, NA, NA, NA, NA, NA, NA, 200L, 168L, NA, NA, NA, NA, NA, NA, 197L, NA, NA, NA, NA, NA, NA, NA, 243L, NA, NA, NA, NA, NA, NA, NA, 203L, 120L, NA, NA, NA, NA, NA, NA, 197L, NA, NA, NA, NA, NA, NA, NA, 227L, 104L, NA, NA, NA, NA, NA, NA, 227L, NA, NA, NA, NA, NA, NA, NA), .Dim = c(8L, 128L), .Dimnames = list(    c(\"futime\", \"e1\", \"e2\", \"e3\", \"e4\", \"e5\", \"e6\", \"e7\"), NULL))"));           
test(id=0, code={           
argv <- eval(parse(text="list(structure(c(414L, 439L, 382L, 388L, 383L, 364L, 364L, 363L, 349L, 371L, 102L, 388L, 388L, 363L, 367L, 365L, 382L, 362L, 373L, 385L, 376L, 360L, 306L, 160L, 316L, 316L, 315L, 357L, 360L, 347L, 353L, 308L, 327L, 329L, 343L, 251L, 318L, 304L, 316L, 335L, 365L, 336L, 350L, 356L, 339L, 301L, 330L, 300L, 300L, 312L, 334L, 270L, 347L, 293L, 303L, 337L, 287L, 293L, 293L, 318L, 359L, 351L, 322L, 343L, 269L, 286L, 286L, 273L, 297L, 273L, 273L, 273L, 294L, 303L, 281L, 273L, 255L, 269L, 270L, 270L, 276L, 264L, 245L, 261L, 270L, 273L, 306L, 274L, 279L, 278L, 278L, 284L, 276L, 265L, 294L, 277L, 259L, 287L, 263L, 240L, 217L, 271L, 252L, 331L, 255L, 271L, 254L, 185L, 213L, 210L, 203L, 288L, 269L, 269L, 91L, 91L, 192L, 199L, 195L, 198L, 207L, 200L, 197L, 243L, 203L, 197L, 227L, 227L, 219L, 8L, NA, NA, 246L, NA, 292L, NA, 294L, NA, 19L, 373L, NA, 211L, 82L, NA, 334L, 18L, NA, 280L, NA, NA, NA, NA, 146L, NA, NA, NA, 267L, 206L, 175L, NA, NA, NA, NA, 118L, NA, NA, NA, NA, 274L, NA, NA, 187L, NA, 6L, NA, NA, 146L, 304L, NA, 52L, 67L, NA, 265L, NA, 91L, NA, NA, NA, 318L, 57L, 226L, 65L, NA, 264L, NA, NA, NA, 236L, NA, 207L, NA, NA, NA, NA, NA, NA, 23L, NA, NA, NA, NA, NA, NA, 113L, 99L, NA, NA, 14L, NA, NA, NA, NA, NA, NA, NA, 4L, NA, 167L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 165L, NA, NA, NA, NA, NA, NA, NA, NA, 11L, NA, NA, 168L, NA, NA, 120L, NA, 104L, NA, 373L, 26L, NA, NA, 253L, NA, NA, NA, NA, NA, NA, NA, NA, 260L, 114L, NA, 370L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 280L, NA, NA, NA, NA, 240L, NA, NA, NA, NA, 361L, NA, NA, NA, NA, NA, NA, NA, 188L, NA, NA, 65L, 248L, NA, NA, NA, 121L, NA, NA, NA, NA, 121L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 306L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 159L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 22L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 152L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 265L, 337L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 255L, 250L, NA, NA, NA, 203L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 213L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 169L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 241L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 269L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 284L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 249L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 307L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 322L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 350L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), .Dim = c(128L, 8L), .Dimnames = list(    NULL, c(\"futime\", \"e1\", \"e2\", \"e3\", \"e4\", \"e5\", \"e6\", \"e7\"))), c(2L, 1L), TRUE)"));           
.Internal(aperm(argv[[1]], argv[[2]], argv[[3]]));           
}, o=expected);           

