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Update analysis scripts

This commit is contained in:
Jip J. Dekker 2021-07-09 14:07:26 +10:00
parent ac89bcb3da
commit 9c494bac60
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2 changed files with 107 additions and 56 deletions

View File

@ -13,6 +13,8 @@ import os
import re
import sys
from statistics import stdev
def compute_area(file, time):
area = -1
@ -30,74 +32,124 @@ def compute_area(file, time):
if match:
objectives.append(int(match.group(1)))
continue
match = re.match(r"%\stime elapsed:\s(\d+)\sms", line)
match = re.match(r"%\stime elapsed:\s(\d+\.\d+)\ss", line)
if match:
times.append(int(match.group(1)))
times.append(float(match.group(1)))
continue
times.append(time)
# Not proven optimal
if len(times) == len(objectives):
times.append(time)
assert len(objectives) > 0
assert len(objectives) + 1 == len(times)
area = 0
for i in range(len(objectives)):
area += ((times[i + 1] - times[i]) / 1000) * objectives[i]
area += (times[i + 1] - times[i]) * objectives[i]
return int(area)
folder = sys.argv[1]
stats = {}
for root, dirs, files in os.walk(folder):
for name in files:
if name.endswith(".sol"):
seed = 1
match = re.search(r"\.(\d+)\.sol", name)
if match:
seed = int(match.group(1))
with open(os.path.join(root, name)) as f:
contents = f.readlines()
statistics = dict()
instances = set()
for config in ["original", "restart"]:
for root, dirs, files in os.walk(folder + "/" + config):
for name in files:
if name.endswith(".sol"):
components = name[:-(4)].split(".")
data = components[0]
instances.add(data)
seed = 1
if len(components) > 1:
assert len(components) == 2
seed = components[1]
statistics = {}
print(contents)
for line in contents:
# Nodes
match = re.search(r"nodes=(\d+)", line)
if match:
statistics["nodes"] = int(match.group(1))
continue
# Solve time
match = re.search(r"solveTime=(\d+\.\d+)", line)
if match:
statistics["search_time"] = int(float(match.group(1)) * 1000)
continue
# Restarts
match = re.search(r"restart count:\s+(\d+)", line)
if match:
statistics["restarts"] = int(match.group(1))
continue
if data not in statistics:
statistics[data] = dict()
if config not in statistics[data]:
statistics[data][config] = []
for line in contents[::-1]:
# Best objective
match = re.match(r"objective\s=\s(\d+)", line)
if match:
statistics["objective"] = int(match.group(1))
break
# Area
area = compute_area(contents, statistics["search_time"])
with open(os.path.join(root, name)) as f:
contents = f.readlines()
stats[name[:-(4)].replace(".", ",")] = (
area,
statistics["objective"],
statistics["search_time"],
statistics["restarts"],
statistics["nodes"],
nodes = None
solvetime = None
restarts = None
objective = None
for line in contents:
# Nodes
match = re.search(r"%%%mzn-stat: nodes=(\d+)", line)
if match:
nodes = int(match.group(1))
continue
# Solve time
match = re.search(r"%%%mzn-stat: solveTime=(\d+\.\d+)", line)
if match:
solvetime = float(match.group(1))
continue
# Restarts
match = re.search(r"%%%mzn-stat: restarts=(\d+)", line)
if match:
restarts = int(match.group(1))
continue
for line in contents[::-1]:
# Best objective
match = re.match(r"%%%mzn-stat: objective=(-?\d+)", line)
if match:
objective = int(match.group(1))
break
# Area
area = compute_area(contents, solvetime)
statistics[data][config].append(
(
area,
objective,
solvetime,
restarts,
nodes,
)
)
for data in instances:
for config in ["original", "restart"]:
stats = statistics[data][config]
cumulative = stats[0]
for i in range(1, len(stats)):
cumulative = tuple(map(sum, zip(cumulative, stats[i])))
avg = tuple([x / len(stats) for x in cumulative])
dev = stdev([x[1] for x in stats]) if len(stats) > 1 else 0
# (avg area, avg objective, stdev objective)
statistics[data][config] = (avg[0], avg[1], dev)
# Print header
print(
"""
\\begin{tabular}{l|rr|rr|rr}
\\toprule
& \multicolumn{2}{c|}{Chuffed} & \multicolumn{2}{c|}{Chuffed Restart} \\\\
Instance & $\intobj$ & $\minobj$ & $\intobj$ & $\minobj$ \\\\
\midrule
"""
)
sorted_instances = sorted(instances)
for data in sorted_instances:
print(f"{data}", end="")
for config in ["original", "restart"]:
print(
f" & {int(statistics[data][config][0] / 1000) }k & {int(statistics[data][config][1])}",
end="",
)
if statistics[data][config][2] != 0:
print("^{", end="")
print(
int(statistics[data][config][2] / statistics[data][config][1] * 100),
# int(statistics[data][config][2]),
end="",
)
print("}", end="")
print(" \\\\")
sorted_stats = sorted(stats.items())
a = sorted_stats[0][0][: sorted_stats[0][0].find(",")]
for key, val in sorted_stats:
if key[: key.find(",")] != a:
print("\n\n")
a = key[: key.find(",")]
print("%s,%s" % (key, ",".join([v.__str__() for v in val])))
exit(1)
# Print footer
print("\n\\bottomrule\n\end{tabular}")

View File

@ -8,7 +8,6 @@ area which can be found by adding
'constraint trace("% init_area = \(ub(objective));\n", true);'
to the model in question.
"""
import csv
import os
import re
import sys