| import re |
| from numpy import array |
| |
| TIME = 'time' |
| VALUE = 'value' |
| AXIS = 'axis' |
| |
| re_xy = re.compile(r'.*time (?P<time>\d+\.\d+), type \d+ \(EV_ABS\), code \d+ \(ABS_(?P<axis>[XY])\), value (?P<value>\d+)') |
| re_tap = re.compile(r'.*time (?P<time>\d+\.\d+), type \d+ \(EV_KEY\), code \d+ \(BTN_TOUCH\), value (?P<value>\d+)') |
| |
| |
| def load_xy(fname): |
| with open(fname, 'rt') as f: |
| match_iter = (re_xy.search(line) for line in f) |
| events = [m.groupdict() for m in match_iter if m] |
| |
| x = array([int(e[VALUE]) for e in events if e[AXIS] == 'X']) |
| tx = array([float(e[TIME]) for e in events if e[AXIS] == 'X']) |
| |
| y = array([int(e[VALUE]) for e in events if e[AXIS] == 'Y']) |
| ty = array([float(e[TIME]) for e in events if e[AXIS] == 'Y']) |
| |
| return (tx, x, ty, y) |
| |
| |
| def parse_tap_line(line): |
| m = re_tap.search(line) |
| if not m: |
| return None |
| |
| t = float(m.group(TIME)) |
| val = int(m.group(VALUE)) |
| return (t, val) |
