def parse_argv():
parser = argparse.ArgumentParser()
parser.add_argument('path', help='path to statistics.csv')
parser.add_argument(
'--params',
metavar='col_name',
nargs='+',
default=None,
help='plot the forground of the graph with averaged data')
parser.add_argument('-q',
'--quiet',
action='store_true',
help='not showing figure, just save them')
parser.add_argument('-t',
'--trans',
dest='facecolor',
action='store_true',
help='use transparent background')
parser.add_argument('-s',
'--focus',
action='store_true',
help='show only range with first hit')
parser.add_argument('--dark', action='store_true', help='use dark mode')
args = parser.parse_args()
if args.dark:
c.dark_mode()
args.facecolor = c.transparent if args.facecolor else c.facecolor
return args
def parse_argv():
parser = argparse.ArgumentParser()
parser.add_argument('path', help='path to statistics.csv')
parser.add_argument(
'--params',
metavar='col_name',
nargs='+',
default=None,
help='plot the forground of the graph with averaged data')
parser.add_argument('-q',
'--quiet',
action='store_true',
help='not showing figure, just save them')
parser.add_argument('-t',
'--trans',
dest='facecolor',
action='store_true',
help='use transparent background')
parser.add_argument('--style',
choices=['line', 'dot'],
default='dot',
help='plot with "line" or "dot"')
parser.add_argument('--max',
action='store_true',
help='plot with accumulated max accuracy')
parser.add_argument('--dark', action='store_true', help='use dark mode')
args = parser.parse_args()
if args.dark:
c.dark_mode()
args.facecolor = c.transparent if args.facecolor else c.facecolor
return args
def parse_argv():
parser = argparse.ArgumentParser()
parser.add_argument('path', help='path to statistics.csv')
parser.add_argument(
'--params',
metavar='col_name',
nargs='+',
default=None,
help='plot the forground of the graph with averaged data')
parser.add_argument('-q',
'--quiet',
action='store_true',
help='not showing figure, just save them')
parser.add_argument('--avg',
action='store_true',
help='plot averaged startup_time for each model')
parser.add_argument('-t',
'--trans',
dest='facecolor',
action='store_true',
help='use transparent background')
parser.add_argument('--3d',
dest='mode',
action='store_const',
const='3d',
help='plot the figure in "3D"')
parser.add_argument('--2d',
dest='mode',
action='store_const',
const='2d',
help='plot the figure in "2D" (default behavior)')
parser.add_argument('--drop',
metavar='type',
nargs='*',
type=str,
default=[],
help='ignore certain type(s) of neuron')
parser.add_argument('--dark', action='store_true', help='use dark mode')
args = parser.parse_args()
if args.dark:
c.dark_mode()
args.facecolor = c.transparent if args.facecolor else c.facecolor
args.mode = '2d' if args.mode is None else args.mode
return args
def read_config(path):
config = _get_default_config()
with open(path, 'r') as stream:
user_config = yaml.safe_load(stream)
config.update(user_config)
for host in config['hosts']:
if config['hosts'][host]['params'] == 'Auto':
config['hosts'][host]['params'] = None
if config['figure']['dark_mode']:
c.dark_mode()
if config['figure']['transparent']:
config['figure']['facecolor'] = c.transparent
else:
config['figure']['facecolor'] = c.facecolor
if config['figure']['path'] == 'Auto':
fname = os.path.basename(path).rsplit('.', 1)[0]
config['figure']['path'] = f'first_hit_cross_{fname}.png'
return config