def getResult(resultId):
'''
returns a result object for a result id.
'''
if resultExists(resultId):
return util.loadObject(getResultFilename(resultId))
else:
return None
def __init__(self):
self.azimuth = {}
self.elevation = {}
self.lastpos = util.PosVector(0, 0, 0)
self.receiver_clock_error = 0
self.rtcm_bits = None
self.reset()
self.average_position = None
self.position_sum = util.PosVector(0, 0, 0)
self.position_count = 0
# the reference position given by the user, if any
self.reference_position = None
# the position reported by the reference receiver
self.receiver_position = None
# the position reported by the corrected rover
self.recv2_position = None
# the position reported by the uncorrected rover
self.recv3_position = None
# the position calculated from the reference receivers raw data
# and the generated RTCM data.
self.rtcm_position = None
# the last position calculated from smoothed pseudo ranges
self.position_estimate = None
self.ephemeris = util.loadObject('ephemeris.dat')
if self.ephemeris is None:
self.ephemeris = {}
self.ionospheric = util.loadObject('ionospheric.dat')
if self.ionospheric is None:
self.ionospheric = {}
self.min_elevation = 5.0
self.min_quality = 6
self.smooth = prSmooth.prSmooth()
def loadBlastHits(path):
'''
path: location of stored blast hits computed by computeBlastHits()
returns: mapping object from query id to hits. used to be a bsddb, now is a dict.
'''
return util.loadObject(path)
second = t - 86400 * day - 60 * 60 * hour - 60 * minute
return (day, hour, minute, second)
def format_time(time):
return "{}:{}".format(int(time[1]), int(time[2]))
sat_el, sat_az, sat_res = None, None, None
t_first = 0
t_last = 0
t_wrap = 0
if opts.load_pos is not None:
t_first = util.loadObject(opts.load_pos + '.stamp')
if opts.plot_clusters >= 0 or opts.plot_skymap >= 0:
sat_el, sat_az, sat_res = util.loadObject(opts.load_pos)
print("Loaded")
if (sat_el is None or sat_az is None or sat_res is None or t_first is None) \
and (opts.plot_clusters >= 0 or opts.plot_skymap >= 0):
# Create storage for all sats (inc SBAS), 200 hours, (elev,azim,resid); this is sparse so
# overestimating time doesn't hurt and we trim it back before using
# it below anyway. This would be nicer if sparse arrays supported tuple elements
# but they don't..
sat_el = scipy.sparse.lil_matrix((200 * 60 * 60, 140))
sat_az = scipy.sparse.lil_matrix((200 * 60 * 60, 140))
sat_res = scipy.sparse.lil_matrix((200 * 60 * 60, 140))
hour = (t - 86400 * day) // (60 * 60)
minute = (t - 86400 * day - 60 * 60 * hour) // 60
second = t - 86400 * day - 60 * 60 * hour - 60 * minute
return (day, hour, minute, second)
def format_time(time):
return "{}:{}".format(int(time[1]), int(time[2]))
sat_el, sat_az, sat_res = None, None, None
t_first = 0
t_last = 0
t_wrap = 0
if opts.load_pos is not None:
t_first = util.loadObject(opts.load_pos + '.stamp')
if opts.plot_clusters >= 0 or opts.plot_skymap >= 0:
sat_el, sat_az, sat_res = util.loadObject(opts.load_pos)
print("Loaded")
if (sat_el is None or sat_az is None or sat_res is None or t_first is None) \
and (opts.plot_clusters >= 0 or opts.plot_skymap >= 0):
print("Parsing UBX")
dev = ublox.UBlox(opts.ubx_log)
# Create storage for all sats (inc SBAS), 80 hours, (elev,azim); this is sparse so
# overestimating time doesn't hurt and we trim it back before using
# it below anyway. This would be nicer if sparse arrays supported tuple elements
# but they don't..
sat_el = scipy.sparse.lil_matrix((80*60*60, 140))
sat_az = scipy.sparse.lil_matrix((80*60*60, 140))
def loadBlastHits(path):
'''
path: location of stored blast hits computed by computeBlastHits()
returns: mapping object from query id to hits. used to be a bsddb, now is a dict.
'''
return util.loadObject(path)
