haskell-te: ae0b45eef1b04b9317f37845b47131c0c1076f24

     1: from os         import getenv
     2: from parameters import reps, sizes
     3: from util       import tip_benchmarks, tip_cache
     4: 
     5: # Benchmark parameters. Will appear in alphabetical order as arguments, after
     6: # 'cache'
     7: args = {
     8:     'rep'  : reps,
     9:     'size' : sizes,
    10: }
    11: 
    12: #setup_cache = tip_cache(
    13: #    'ml',
    14: #    args,
    15: #    lambda stdout: ([getenv('mlTipRunner')], stdout))
    16: 
    17: # Generate benchmark functions and add them to this module
    18: #locals().update(tip_benchmarks(args))