def main(): if len(sys.argv)>=2 and sys.argv[1].lower()=="server": s = threading.Thread(target=server.start_server) s.setDaemon(True) s.start() while True: pass else: gui.build() gui.guiApp.setLabel(network.ip(network.iface)) server.s_thread = threading.Thread(target=server.start_server) server.s_thread.setDaemon(True) server.s_thread.start() gui.launch()
def main():
if len(sys.argv)>=2 and sys.argv[1].lower()=="server":
s = threading.Thread(target=server.start_server)
s.setDaemon(True)
s.start()
while True:
pass
else:
#g = threading.Thread(target=gui.launch)
#g.setDaemon(True)
#g.start()
gui.build()
gui.guiApp.setLabel(network.ip(network.iface))
#print(type(network.ip("wlan0")))
#client.update_available_ips()
#files = client.get_file_list()
#gui.guiApp.setFiles(files)
server.s_thread = threading.Thread(target=server.start_server)
server.s_thread.setDaemon(True)
server.s_thread.start()
gui.launch()
boundaries = [(tok.start, tok.end) for tok in tokens]
return token_array, lines, boundaries
data_a = get_tokens(args.filename_a)
data_b = get_tokens(args.filename_b or args.filename_a)
tokens_a = data_a[0]
tokens_b = data_b[0]
matrix = numpy.zeros([len(tokens_a), len(tokens_b)], numpy.uint8)
for i, value in enumerate(tokens_a):
matrix[i, :] = (tokens_b == value)
if args.gui:
if can_use_gui:
gui.launch(matrix, data_a, data_b)
else:
print("ERROR: Cannot load GUI. Try doing a `sudo apt-get install "
"python3-pil.imagetk`. If that doesn't help, open a python3 "
"shell, `import gui`, and see what's going wrong.")
sys.exit(1)
else:
# Only import matplotlib if we're going to use it. There's some weird
# behavior on Macs in which matplotlib works fine on its own, and PIL works
# fine on its own, but if you import matplotlib and then try *using* PIL for
# the GUI, we have an uncaught NSException. Consequently, we don't import
# matplotlib at the top of the file, and instead only import it if we're
# actually going to use it.
from matplotlib import pyplot
# WARNING: Converting large arrays to images can take up so many resources
