grpc/tools/profiling/microbenchmarks/bm_diff/bm_speedup.py

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from scipy import stats
import math

_DEFAULT_THRESHOLD = 1e-10

def scale(a, mul):
  return [x * mul for x in a]


def cmp(a, b):
  return stats.ttest_ind(a, b)

def speedup(new, old, threshold = _DEFAULT_THRESHOLD):
  if (len(set(new))) == 1 and new == old: return 0
  s0, p0 = cmp(new, old)
  if math.isnan(p0): return 0
  if s0 == 0: return 0
  if p0 > _DEFAULT_THRESHOLD: return 0
  if s0 < 0:
    pct = 1
    while pct < 100:
      sp, pp = cmp(new, scale(old, 1 - pct / 100.0))
      if sp > 0: break
      if pp > _DEFAULT_THRESHOLD: break
      pct += 1
    return -(pct - 1)
  else:
    pct = 1
    while pct < 10000:
      sp, pp = cmp(new, scale(old, 1 + pct / 100.0))
      if sp < 0: break
      if pp > _DEFAULT_THRESHOLD: break
      pct += 1
    return pct - 1


if __name__ == "__main__":
  new = [0.0, 0.0, 0.0, 0.0] 
  old = [2.96608e-06, 3.35076e-06, 3.45384e-06, 3.34407e-06]
  print speedup(new, old, 1e-5)
  print speedup(old, new, 1e-5)