def main():
f = open('Benchmarking/benchmark_c_only', 'w')
f.write('number,c,python\n')
points_range = 1000
num_points = 1
eps = 100
threshold = 1
times_to_run = 1000
c_time = 0.0
py_time = 0.0
num_iterations = 0
points = []
while num_iterations < times_to_run:
print 'Creating list.'
while len(points) < num_points:
candidate = (random.randint(0, points_range), random.randint(0, points_range))
repeat = False
for x in range(len(points)):
if points[x][0] == candidate[0] and points[x][1] == candidate[1]:
repeat = True
break
if not repeat:
points.append( candidate )
print 'Timing...'
c_start = time.time()
c_clusters = c_cluster_points( points, threshold, eps)
c_time = time.time() - c_start
py_start = time.time()
py_clusters = py_cluster_points( points, threshold, eps)
py_time = time.time() - py_start
print 'Number of points clustered: {0}'.format( num_points )
print 'Number of python clusters: {0}'.format( len(py_clusters) )
print 'Number of c clusters: {0}'.format( len(c_clusters) )
print 'C average: {0:.6f}'.format(c_time)
print 'Python average: {0:.6f}'.format(py_time)
print 'Ratio: {0:.6f}\n'.format( py_time / c_time )
f.write(str(num_points))
f.write(',')
f.write(str(c_time))
f.write(',')
f.write(str(py_time))
f.write('\n')
num_iterations += 1
num_points += 100
f.close()
def main():
points_range = 100000000
num_points = 1
eps = 1
threshold = 1
times_to_run = 50
iteration_repetitions = 5
c_time = 0.0
py_time = 0.0
prev_c_time = 1
num_iterations = 0
points = []
benchmark_c = True
benchmark_python = True
double_points = False
header = 'iterations,number'
filename = str(points_range)
if benchmark_c:
filename += 'c'
header += ',c_time,c_clusters'
if benchmark_python:
filename += 'python'
header += ',py_time,py_clusters'
f = open('BenchmarkingData/' + filename, 'w')
f.write(header + '\n')
while num_iterations < times_to_run:
print 'Creating list.'
while len(points) < num_points:
candidate = (random.randint(0, points_range),
random.randint(0, points_range))
repeat = False
for x in range(len(points)):
if points[x][0] == candidate[0] and points[x][1] == candidate[
1]:
repeat = True
break
if not repeat:
points.append(candidate)
print 'Timing...'
if benchmark_c:
for i in range(iteration_repetitions):
c_start = time.time()
c_clusters = c_cluster_points(points, threshold, eps)
c_time = time.time() - c_start
if benchmark_python:
for i in range(iteration_repetitions):
py_start = time.time()
py_clusters = py_cluster_points(points, threshold, eps)
py_time = time.time() - py_start
f.write(',' + str(num_iterations) + ',' + str(num_points))
if benchmark_c:
f.write(',' + str(c_time) + ',' + str(len(c_clusters)))
if benchmark_python:
f.write(',' + str(py_time) + ',' + str(len(py_clusters)))
f.write('\n')
num_iterations += 1
if double_points:
num_points *= 2
else:
num_points += 100
f.close()
