blob: e5ee1bb0cfef113c56853b6046017ad80adb19fa [file] [log] [blame]
#!/usr/bin/env python
# -*- Python -*-
import spec
class SPEC2000_300_twolf(spec.TestModule):
year = "2000"
category = "int"
benchmark = "300.twolf"
train_input_set = [
"train/input/train.blk",
"train/input/train.cel",
"train/input/train.par",
"train/input/train.net",
]
train_output_set = ["train/output/train.stdout"]
train_args = ["train > 300.twolf.train.out 2> 300.twolf.train.err"]
train_cmp_cmds = [
"diff 300.twolf.train.out train.stdout --strip-trailing-cr > 300.twolf.train.cmp"
]
ref_input_set = [
"ref/input/ref.blk",
"ref/input/ref.cel",
"ref/input/ref.par",
"ref/input/ref.net",
]
ref_output_set = ["ref/output/ref.stdout"]
ref_args = ["ref > 300.twolf.ref.out 2> 300.twolf.ref.err"]
ref_cmp_cmds = [
"diff 300.twolf.ref.out ref.stdout --strip-trailing-cr > 300.twolf.ref.cmp"
]
# This is the only required entry point to the module.
test_class = SPEC2000_300_twolf
# This is not required, but allows users with LNT in the environment (required
# for initial imports to work) to execute this test directly.
if __name__ == "__main__":
test_class().main()