def benchmark_creads(mem, reconstructed, legend):
img = img_utils.ImageUtils(reconstructed, first_dim, second_dim, third_dim,
np.uint16)
s_time = time()
total_read_time, total_write_time, total_seek_time, total_seek_number = img.reconstruct_img(
legend, "clustered", mem, input_compressed=True, benchmark=True)
total_time = time() - s_time
print total_read_time, total_write_time, total_seek_time, total_seek_number, total_time
return (total_read_time, total_write_time, total_seek_time,
total_seek_number, total_time)
def benchmark_creads(mem, reconstructed, legend):
img = img_utils.ImageUtils(reconstructed, first_dim, second_dim, third_dim,
np.uint16)
s_time = time()
total_read_time, total_write_time, total_seek_time, total_seek_number = img.reconstruct_img(
legend, "clustered", mem, input_compressed=True, benchmark=True)
e_time = time()
print "before compressing takes ", e_time - s_time
print "offline compressing..."
os.system("gzip {}".format(reconstructed))
compressed_e_time = time()
compressing_time = compressed_e_time - e_time
print "compressing_time", compressing_time
total_time = compressed_e_time - s_time
print total_read_time, total_write_time, total_seek_time, total_seek_number, compressing_time, total_time
return (total_read_time, total_write_time, total_seek_time,
total_seek_number, compressing_time, total_time)
def benchmark_mwrites(mem, ori_image, out_dir):
img = img_utils.ImageUtils(ori_image)
s_time = time()
total_read_time, total_write_time, total_seek_time, total_seek_number = img.split_multiple_writes(
Y_splits,
Z_splits,
X_splits,
out_dir,
mem,
filename_prefix="bigbrain",
extension="nii",
benchmark=True)
total_time = time() - s_time
print "mem = {}, takes {}".format(mem, total_time)
return (total_read_time, total_write_time, total_seek_time,
total_seek_number, total_time)