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self.position = position
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self.draw()
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if __name__ == '__main__':
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run_dir = os.getenv('XDG_RUNTIME_DIR')
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if run_dir is None:
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sys.exit("env variable XDG_RUNTIME_DIR doesn't exist")
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parser = argparse.ArgumentParser(description='i3-workspace-switcher')
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parser.add_argument('-d', '--daemon',
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action='store_true',
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help='run daemon')
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parser.add_argument('-s', '--size',
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type=int,
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default=None,
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help='daemon option: limit history size')
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parser.add_argument('-k', '--keep-empty',
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action='store_true',
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help='daemon option: keep empty workspaces in history')
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parser.add_argument('-m', '--mod',
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default='Mod4',
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choices=KEY_MAPPING.keys(),
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help='client option: '
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'i3 modifier key; default: Mod4 (Super)')
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parser.add_argument('-r', '--reverse',
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action='store_true',
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help='client option: reverse order')
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args, extra_args = parser.parse_known_args()
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history_file_path = os.path.join(run_dir, 'i3-workspace-switcher.history')
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i3 = i3ipc.Connection()
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if args.daemon:
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daemon = EventListener(i3=i3, history_file_path=history_file_path,
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size=args.size, keep_empty=args.keep_empty)
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daemon.run_forever()
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elif not os.path.exists(history_file_path):
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sys.exit("history file doesn't exist")
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else:
|
with open(history_file_path, 'r') as history_file_obj:
|
try:
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history = json.load(history_file_obj)
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if not isinstance(history, list) or len(history) < 2:
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raise ValueError
|
except ValueError:
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sys.exit()
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pid_file_path = os.path.join(run_dir, 'i3-workspace-switcher.gui.pid')
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mode = 'r+' if os.path.exists(pid_file_path) else 'w'
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pid_file_obj = open(pid_file_path, mode)
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try:
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fcntl.lockf(pid_file_obj, fcntl.LOCK_EX | fcntl.LOCK_NB)
|
except IOError:
|
pid = int(pid_file_obj.read())
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pid_file_obj.close()
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os.kill(pid, signal.SIGUSR2 if args.reverse else signal.SIGUSR1)
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sys.exit()
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pid = str(os.getpid())
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pid_file_obj.seek(0)
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pid_file_obj.truncate()
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pid_file_obj.write(pid)
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pid_file_obj.flush()
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gui_options_list = []
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for item in extra_args:
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item = item.lstrip('-')
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if '=' in item:
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gui_options_list.extend(item.split('=', 1))
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else:
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gui_options_list.append(item)
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gui_options = dict(zip(gui_options_list[::2], gui_options_list[1::2]))
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GUI(i3=i3, history=history, mod=KEY_MAPPING[args.mod],
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reverse=args.reverse, gui_options=gui_options).run()
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pid_file_obj.close()
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os.unlink(pid_file_path)
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# <FILESEP>
|
import argparse
|
import time
|
from torch import optim
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from torch.utils.data import DataLoader
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from data_gen import ZslDataset
|
from models import Encoder
|
from utils import *
|
def train(epoch, train_loader, model, W, optimizer, attributes_per_class):
|
# Ensure dropout layers are in train mode
|
model.train()
|
# Loss function
|
# criterion = nn.MSELoss().to(device)
|
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