Update OR-Tools to v9.11 #88
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hanno-becker
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mkannwischer
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I've run some more experiments comapring Then I run each of the models with the respective version five times with the following code: import os
from statistics import mean, median
import ortools
from ortools.sat.python import cp_model
from google.protobuf import text_format
TIMEOUT=300
ITERATIONS=5
def load_and_solve(file, i):
model = cp_model.CpModel()
with open(file, "r") as file:
text_format.Parse(file.read(), model.Proto())
print (f"[{i}]: Solve using OR-Tools v{ortools.__version__} ... ", end='', flush=True)
solver = cp_model.CpSolver()
solver.parameters.max_time_in_seconds = TIMEOUT
# solver.parameters.search_branching = cp_model.FIXED_SEARCH
solver.parameters.num_workers = 16
status = solver.Solve(model)
status_str = solver.StatusName(status)
print(f"{status_str}, wall time: {solver.WallTime():.4f} s")
return solver.WallTime()
def do_it(file):
print(file)
times = []
for i in range(ITERATIONS):
walltime = load_and_solve(file, i)
times.append(walltime)
return times
measurements = []
def printit(o):
f = o["file"]
m = o["measurements"]
minimum = min(m)
maximum = max(m)
meanv = mean(m)
medianv = median(m)
m = ",".join([str(x) for x in m])
print(f"| {f} | {minimum} | {maximum} | {meanv} | {medianv} | {m} |")
for f in os.listdir("./"):
if not f.endswith(".txt"):
continue
if f == "results.txt" or f == "requirements.txt":
continue
times = do_it(f)
measurements.append({"file": f, "measurements": times})
printit(measurements[-1])
print("| model | minimum | maximum | mean | median | raw times |")
print("| ----- | ------- | ------- | ---- | ------ | --------- |")
for m in measurements:
printit(m)I attached the extracted models together with the results. Here are the results:
v9.11
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