def __init__(self):
utility.print_debug('CAL __init__')
param_man = param_manager.ParamManager()
calc_map = param_man.get('field_map')
min_dist = 1e10
with open(calc_map, 'r') as f:
for line in f:
if '#' in line:
continue
# utility.print_info(f'CAL {line}')
columns = line.split()
p = (numpy.round(float(columns[0]) * 1e3),
numpy.round(float(columns[2]) * 1e3),
numpy.round(-float(columns[1]) * 1e3))
__class__.field_map[p] = [
float(columns[3]),
float(columns[5]), -float(columns[4])
]
p = numpy.array([
float(columns[0]) * 1e3,
float(columns[2]) * 1e3, -float(columns[1]) * 1e3
])
d = numpy.linalg.norm(p - ref_pos)
if d < min_dist:
min_dist = d
min_pos = p
ref_calc = [
float(columns[3]),
float(columns[4]),
float(columns[5])
]
utility.print_info('CAL initialized')
def __init__(self):
utility.print_debug('FLD __init__')
param_man = param_manager.ParamManager()
data_path = param_man.get('data_path')
center_x = float(param_man.get('center_x'))
center_y = float(param_man.get('center_y'))
center_z = float(param_man.get('center_z'))
self.field_map = dict()
self.bscale = 1.0
process_time_array = []
for fname in sorted(os.listdir(data_path)):
fname = os.path.join(data_path, fname)
if not os.path.isfile(fname):
continue
if ('2019051' in fname or '2019052' in fname or '20190530' in fname
or '20190531_02' in fname or '20190531_03' in fname
or '20190531_04' in fname or '20190531_05' in fname
or '20190531_061407' in fname):
#'20190530_021341' in fname):
continue
mtime = os.stat(fname).st_mtime
if mtime < 1557990000:
continue
prev_time = None
with open(fname) as f:
utility.print_info(f'FLD read {fname}')
for line in f:
columns = line.split()
if '#' in line or len(columns) < 10:
continue
ix = int(
numpy.round(float(columns[3]) - center_x) / 10 + 26)
iy = int(
numpy.round(float(columns[4]) - center_y) / 10 + 26)
iz = int(
numpy.round(float(columns[5]) - center_z) / 10 + 28)
istep = int(float(columns[2]))
if abs(float(columns[10])) < 0.5:
continue
# key = (ix, iy, iz)
key = (ix, iy, istep)
curr_time = self.__get_timestamp(columns)
columns.append(curr_time)
if key in self.field_map.keys() and False:
print('exist', self.field_map[key].data, columns)
else:
# self.field_map[ix, iy, iz] = FieldElement(columns)
self.field_map[ix, iy, istep] = FieldElement(columns)
#print("2 step " + str(columns[2]))
if prev_time is not None:
process_time = curr_time - prev_time
process_time_array.append(process_time)
prev_time = curr_time
speed = numpy.mean(process_time_array)
# utility.print_info(f'FLD average speed = {speed:.3f} s')
self.calculate_maxwell_equation()
def __new__(cls):
with cls.__lock:
if cls.__instance is None:
cls.__instance = super().__new__(cls)
utility.print_debug('PRM __new__')
return cls.__instance
def __init__(self):
utility.print_debug('PRM __init__')
def __init__(self):
utility.print_debug('FLD __init__')
param_man = param_manager.ParamManager()
data_path = param_man.get('data_path')
center_x = float(param_man.get('center_x'))
center_y = float(param_man.get('center_y'))
center_z = float(param_man.get('center_z'))
self.field_map = dict()
self.bscale = 1.0
process_time_array = []
for fname in sorted(os.listdir(data_path)):
fname = os.path.join(data_path, fname)
mtime = os.stat(fname).st_mtime
if not os.path.isfile(fname):
continue
if mtime < 1558083682:
continue
# if ('20190520_061450' in fname or
# '20190520_063540' in fname or
# '20190527_060958' in fname or
# '20190527_061237' in fname or
# '20190530_021341' in fname):
# if '20190530_021341' not in fname:
# if '20190531_183253' not in fname:
# if ('20190531_191821' not in fname and
# '20190531_193258' not in fname and
# '20190601_020337' not in fname):
# if ('20190603_112806' not in fname and
# '20190603_121624' not in fname):
''' main data '''
if not use_nmr and (
'201906' in fname or '20190520_061450' in fname
or '20190520_063540' in fname or '20190522_071913' in fname
or '20190527_060958' in fname or '20190527_061237' in fname
or '20190530_021341' in fname or '20190531_054932' in fname
or '20190531_054932' in fname or '20190531_06' in fname or
'20190531_1' in fname or '20190531_2' in fname or False):
continue
if (use_nmr and '20190603_112806' not in fname
and '20190603_121624' not in fname):
continue
prev_time = None
with open(fname) as f:
utility.print_info(f'FLD read {fname}')
for iline, line in enumerate(f):
columns = line.split()
if use_nmr:
if '#' in line or len(columns) < 14:
continue
else:
if '#' in line or len(columns) < 13:
continue
ix = int(
numpy.round(float(columns[3]) - center_x) / 10 + 26)
if use_nmr:
ix = len(self.field_map)
iy = int(
numpy.round(float(columns[4]) - center_y) / 10 + 26)
iz = int(
numpy.round(float(columns[5]) - center_z) / 10 + 28)
# if abs(float(columns[10])) < 0.5:
# continue
key = (ix, iy, iz)
curr_time = self.__get_timestamp(columns)
columns.append(curr_time)
if key in self.field_map.keys() and False:
print('exist', self.field_map[key].data, columns)
else:
self.field_map[ix, iy, iz] = FieldElement(columns)
if prev_time is not None:
process_time = curr_time - prev_time
process_time_array.append(process_time)
prev_time = curr_time
speed = numpy.mean(process_time_array)
utility.print_info(f'FLD average speed = {speed:.3f} s')
self.calculate_maxwell_equation()