source: inundation/fit_interpolate/run_long_benchmark.py @ 2378

from benchmark_least_squares import BenchmarkLeastSquares

ben = BenchmarkLeastSquares()

ofile = 'lbm_results.txt'
delimiter = ','

is_fit_list = [True, False]
num_of_points_list = [10, 1000, 100000, 10000000]
maxArea_list = [0.1, 0.001, 0.00001, 0.0000001]
max_points_per_cell_list = [8]

fd = open(ofile,'a')
# write the title line

fd.write("num_of_points" + delimiter +
         "maxArea" + delimiter +
         "num_of_triangles" + delimiter +
         "max_points_per_cell" + delimiter +
         "is_fit" + delimiter +
         "mem"  + delimiter +
         "time" + delimiter + "\n")

for is_fit in is_fit_list:
    for num_of_points in num_of_points_list:
        for maxArea in maxArea_list:
            for max_points_per_cell in max_points_per_cell_list:
    
                time, mem, num_tri = ben.trial(num_of_points=num_of_points
                                      ,maxArea=maxArea
                                      ,max_points_per_cell=max_points_per_cell
                                      ,is_fit=is_fit
                                      )
                print "time",time
                print "mem", mem
                fd.write(str(is_fit) + delimiter +
                         str(num_of_points) + delimiter +
                         str(maxArea) + delimiter +
                         str(num_tri) + delimiter +
                         str(max_points_per_cell) + delimiter +
                         str(mem)  + delimiter +
                         str(time) + delimiter + "\n")
fd.close()