def main(cmds_path, img_path):
img_matrix = hc.read_image(img_path)
N = np.shape(img_matrix)[0]
M = np.shape(img_matrix)[1]
with open(cmds_path) as f:
if check(execute(f.readlines(), N, M), img_matrix):
print 'Match.'
else:
print '>>> Mismatch!'
def main(cmds_path, img_path):
img_matrix = hc.read_image(img_path)
N = np.shape(img_matrix)[0]
M = np.shape(img_matrix)[1]
with open(cmds_path) as f:
if check(execute(f.readlines(), N, M), img_matrix):
print 'Match.'
else:
print '>>> Mismatch!'
import hashcode as hc
import numpy as np
import sys
if len(sys.argv) != 2:
raise SystemExit('Usage: python tester.py <filename>')
m = hc.read_image(sys.argv[1])
best_score = 0
best_delta = 0
for delta in np.nditer(np.arange(0, 0.3, 0.005)):
m_work, all_commands = hc.algo(m, np.zeros(np.shape(m)), delta)
score = np.shape(m)[0] * np.shape(m)[1] - len(all_commands)
if score > best_score:
best_score = score
best_delta = delta
best_cmds = all_commands
str_cmds = [str(len(best_cmds))]
str_cmds += [
' '.join(map(str, list(best_cmds[i]))) for i in xrange(len(best_cmds))
]
np.savetxt(sys.argv[1] + '.cmds', str_cmds, fmt='%s')
import hashcode as hc
import numpy as np
import sys
if len(sys.argv) != 2:
raise SystemExit('Usage: python tester.py <filename>')
m = hc.read_image(sys.argv[1])
best_score = 0
best_delta = 0
for delta in np.nditer(np.arange(0, 0.3, 0.005)):
m_work, all_commands = hc.algo(m, np.zeros(np.shape(m)), delta)
score = np.shape(m)[0]*np.shape(m)[1] - len(all_commands)
if score > best_score:
best_score = score
best_delta = delta
best_cmds = all_commands
str_cmds = [str(len(best_cmds))]
str_cmds += [' '.join(map(str,list(best_cmds[i]))) for i in xrange(len(best_cmds))]
np.savetxt(sys.argv[1]+'.cmds', str_cmds, fmt='%s')