def is_system_slower(self, n, m, system):
"""
Determine if a given system is slower than the current slowest system stored in "systems_strongly_k"
:param n:
:param m:
:param system:
:return:
"""
fh = FileHandler()
path = "./../assets/systems_strongly_k/{0}_{1}".format(n, m)
temp_path_a = "./../assets/temp/temp_a"
temp_path_b = "./../assets/temp/temp_b"
system_old = fh.read_from_file(path)
if not system_old:
return True
fh.write_to_file_simple(
temp_path_a, self.prepare_cryptominisat_system(n, m, system))
fh.write_to_file_simple(
temp_path_b, self.prepare_cryptominisat_system(n, m, system_old))
diff_a = self.get_gauss_off_time(temp_path_a) - self.get_gauss_on_time(
temp_path_a)
diff_b = self.get_gauss_off_time(temp_path_b) - self.get_gauss_on_time(
temp_path_b)
if diff_a > diff_b:
print "Slower {0}".format(diff_a - diff_b)
pass
return diff_a > diff_b
def load_results(self):
"""
Load Sat Solver execution results
:return:
"""
fh = FileHandler()
results = fh.read_from_file("./../assets/systems_run/run")
return results
def plot_generate_systems_results(self, filename, **kwargs):
"""
Plot time taken to generate instances
:param filename:
:param kwargs:
:return:
"""
ph = PlotHandler()
fh = FileHandler()
data = fh.read_from_file(filename, **kwargs)
ph.plot_sat_results(data)
def load_results(self):
"""
Load results from tests
:return:
"""
ph = ProcessHandler()
fh = FileHandler()
results = {}
run = ph.run_command("ls -v ./../assets/graphs_run/")
for graph_run in run:
results[graph_run[:-4]] = fh.read_from_file(
"./../assets/graphs_run/" + graph_run)
return results
def test_17(self):
fh = FileHandler()
data = fh.read_from_file(
"../assets/results/sat/0-n-10000_0-m-10000_step-100/results")
for d in data:
print "{0} {1} a".format(d[1], d[2])
i = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]
gi = Gi()
for j in i:
a = gi.run_graph_instance("ga_vs_gb", "{0}_{1}_A.dre".format(j, j))
b = gi.run_graph_instance("ga_vs_gb", "{0}_{1}_B.dre".format(j, j))
print "{0} {1} a".format(j, a["time"], 1)
print "{0} {1} b".format(j, b["time"], 1)
def run_solver(self, **kwargs):
"""
Run Traces through systems and record times
Looking for systems that are faster with gauss off => K-local consistent
:param kwargs:
:return: Null
"""
fh = FileHandler()
ph = ProcessHandler()
results = []
skip = kwargs.get("outstanding", False)
completed = []
if fh.read_from_file("./../assets/systems_run/run"):
for result in fh.read_from_file("./../assets/systems_run/run"):
completed.append(result[0])
for filename in ph.run_command('ls -v ./../assets/systems/'):
# Init
path = './../assets/systems/' + filename
system = fh.read_from_file(path)
split = filename.split("_")
n = split[0]
m = split[1]
# Skip completed systems
key = "{0}:{1}".format(n, m)
if skip and key in completed:
continue
print key
# Create cryptominisat system
time_off, time_on = self.get_gauss_times(n, m, system)
# Save
results.append([key, n, m, time_off, time_on, time_off - time_on])
fh.update_file("./../assets/systems_run/run", results)
def run_graph(self, graphs, graph, program, **kwargs):
"""
Run instances in a graph
:param graph:
:param kwargs:
:return:
"""
fh = FileHandler()
ph = ProcessHandler()
run = ph.run_command("ls -v ./../assets/graphs_run/")
save = kwargs.get("save", False)
outstanding = kwargs.get("outstanding", False)
graph_name = self.get_filename(graph, program)
# Load previous results
if outstanding and graph_name in run:
graph_results = fh.read_from_file(
"./../assets/graphs_run/{0}".format(graph_name))
else:
graph_results = []
# Gather results
for graph_instance in graphs:
print "{0} {1}".format(graph_instance, datetime.datetime.now())
# Skip existing graph
if outstanding and graph_name in run:
if any(d['name'] == graph_instance for d in graph_results):
continue
kwargs["program"] = program
result = self.run_graph_instance(graph, graph_instance, **kwargs)
graph_results.append(result)
# Save
if save:
print "Saving..."
fh.write_to_file("./../assets/graphs_run/" + graph_name,
graph_results)
return graph_results
def convert_systems_to_constructions(self, **kwargs):
"""
Convert found systems into graphs and run them through Traces
:return:
"""
# Init
gi = Gi()
sat = Sat()
ph = ProcessHandler()
fh = FileHandler()
paths = ph.run_command("ls -v ./../assets/systems_to_convert/")
validate = kwargs.get("validate", False)
delete = kwargs.get("delete", False)
# Iterate systems
for path in paths:
print "Checking " + path
# Paths
graph_path = "./../assets/construction/" + path + "_A.dre"
system_path = "./../assets/systems_to_convert/" + path
# Extract n and m values
n, m = path.split("_")
n = int(n)
m = int(m)
# Load system
system = fh.read_from_file(system_path)
if validate:
# Check for k-local consistency
if not sat.is_k_consistent(n, m, system):
print "\t Not K consistent system. Removing and skipping."
if delete:
fh.delete_file(system_path)
continue
else:
print "\t K consistent system. Constructing A."
# Convert system into graphs and check for automorphisms
G = sat.convert_system_to_graph(n, m, system)
gi.convert_graph_to_traces(
n, m, G, "A",
"./../assets/construction/") # First construction
if not gi.graph_has_automorphisms(graph_path):
print "\t No Automorphisms. Constructing B."
G = sat.convert_system_to_construction(n, m, system)
gi.convert_graph_to_traces(
n, m, G, "B",
"./../assets/construction/") # Second construction
if delete:
fh.delete_file(graph_path)
else:
print "\t Automorphisms. Removing and skipping."
if delete:
fh.delete_file(graph_path) # Remove unwanted graph
fh.delete_file(system_path) # Remove unwanted system
else:
G = sat.convert_system_to_construction(n, m, system)
gi.convert_graph_to_traces(n, m, G, "B",
"./../assets/construction/")