blob: 81fbfa980a3a6405b9b74289aa3d07eb5fb165d6 [file] [log] [blame]
#!/usr/bin/env python
from __future__ import print_function
import re, string, sys, os, time, math
DEBUG = 0
(tp, exp) = ("compile", "exec")
def parse(file):
f = open(file, "r")
d = f.read()
# Cleanup weird stuff
d = re.sub(r",\d+:\d", "", d)
r = re.findall(r"TEST-(PASS|FAIL|RESULT.*?):\s+(.*?)\s+(.*?)\r*\n", d)
test = {}
fname = ""
for t in r:
if DEBUG:
print(t)
if t[0] == "PASS" or t[0] == "FAIL":
tmp = t[2].split("llvm-test/")
if DEBUG:
print(tmp)
if len(tmp) == 2:
fname = tmp[1].strip("\r\n")
else:
fname = tmp[0].strip("\r\n")
if fname not in test:
test[fname] = {}
test[fname][t[1] + " state"] = t[0]
test[fname][t[1] + " time"] = float("nan")
else:
try:
n = t[0].split("RESULT-")[1]
if DEBUG:
print("n == ", n)
if n == "compile-success":
test[fname]["compile time"] = float(
t[2].split("program")[1].strip("\r\n")
)
elif n == "exec-success":
test[fname]["exec time"] = float(
t[2].split("program")[1].strip("\r\n")
)
if DEBUG:
print(test[fname][string.replace(n, "-success", "")])
else:
# print "ERROR!"
sys.exit(1)
except:
continue
return test
# Diff results and look for regressions.
def diffResults(d_old, d_new):
regressions = {}
passes = {}
removed = ""
for x in ["compile state", "compile time", "exec state", "exec time"]:
regressions[x] = ""
passes[x] = ""
for t in sorted(d_old.keys()):
if t in d_new:
# Check if the test passed or failed.
for x in ["compile state", "compile time", "exec state", "exec time"]:
if x not in d_old[t] and x not in d_new[t]:
continue
if x in d_old[t]:
if x in d_new[t]:
if d_old[t][x] == "PASS":
if d_new[t][x] != "PASS":
regressions[x] += t + "\n"
else:
if d_new[t][x] == "PASS":
passes[x] += t + "\n"
else:
regressions[x] += t + "\n"
if x == "compile state" or x == "exec state":
continue
# For execution time, if there is no result it's a fail.
if x not in d_old[t] and x not in d_new[t]:
continue
elif x not in d_new[t]:
regressions[x] += t + "\n"
elif x not in d_old[t]:
passes[x] += t + "\n"
if math.isnan(d_old[t][x]) and math.isnan(d_new[t][x]):
continue
elif math.isnan(d_old[t][x]) and not math.isnan(d_new[t][x]):
passes[x] += t + "\n"
elif not math.isnan(d_old[t][x]) and math.isnan(d_new[t][x]):
regressions[x] += t + ": NaN%\n"
if (
d_new[t][x] > d_old[t][x]
and d_old[t][x] > 0.0
and (d_new[t][x] - d_old[t][x]) / d_old[t][x] > 0.05
):
regressions[x] += (
t
+ ": "
+ "{0:.1f}".format(
100 * (d_new[t][x] - d_old[t][x]) / d_old[t][x]
)
+ "%\n"
)
else:
removed += t + "\n"
if len(regressions["compile state"]) != 0:
print("REGRESSION: Compilation Failed")
print(regressions["compile state"])
if len(regressions["exec state"]) != 0:
print("REGRESSION: Execution Failed")
print(regressions["exec state"])
if len(regressions["compile time"]) != 0:
print("REGRESSION: Compilation Time")
print(regressions["compile time"])
if len(regressions["exec time"]) != 0:
print("REGRESSION: Execution Time")
print(regressions["exec time"])
if len(passes["compile state"]) != 0:
print("NEW PASSES: Compilation")
print(passes["compile state"])
if len(passes["exec state"]) != 0:
print("NEW PASSES: Execution")
print(passes["exec state"])
if len(removed) != 0:
print("REMOVED TESTS")
print(removed)
# Main
if len(sys.argv) < 3:
print("Usage:", sys.argv[0], "<old log> <new log>")
sys.exit(-1)
d_old = parse(sys.argv[1])
d_new = parse(sys.argv[2])
diffResults(d_old, d_new)