class EaarlEdb(tables.IsDescription):
soe = tables.Float32Col(pos=0)
raster_offset = tables.UInt32Col(pos=1)
raster_length = tables.UInt32Col(pos=2)
pulse_count = tables.UInt8Col(pos=3)
digitizer = tables.UInt8Col(pos=4)
file = tables.StringCol(pos=5, itemsize=filename_length)
class SpikeInfoDescription(tables.IsDescription):
ch = tables.UInt8Col()
cl = tables.UInt8Col()
snr_mean = tables.Float64Col()
snr_std = tables.Float64Col()
wave_mean = tables.Float64Col(shape=wfs)
wave_std = tables.Float64Col(shape=wfs)
class Links(tb.IsDescription):
receiver = tb.StringCol(64)
fpga_link = tb.UInt8Col()
chip_link = tb.UInt8Col()
chip_id = tb.StringCol(64)
data_delay = tb.UInt8Col()
data_invert = tb.UInt8Col()
data_edge = tb.UInt8Col()
class HisparcComparatorData(tables.IsDescription):
event_id = tables.UInt32Col(pos=0)
timestamp = tables.Time32Col(pos=2)
nanoseconds = tables.UInt32Col(pos=3)
ext_timestamp = tables.UInt64Col(pos=4)
device = tables.UInt8Col(pos=5)
comparator = tables.UInt8Col(pos=6)
count = tables.UInt16Col(pos=7)
class ClusterHitInfoTable(tb.IsDescription):
event_number = tb.Int64Col(pos=0)
column = tb.UInt16Col(pos=1)
row = tb.UInt16Col(pos=2)
charge = tb.Float32Col(pos=3)
frame = tb.UInt8Col(pos=4)
cluster_id = tb.Int32Col(pos=5)
is_seed = tb.UInt8Col(pos=6)
cluster_size = tb.UInt32Col(pos=7)
n_cluster = tb.UInt32Col(pos=8)
class HDF5Frame(tables.IsDescription):
timestamp = tables.UInt64Col() # Microseconds
sentinel_start = tables.UInt8Col()
sender_timestamp = tables.UInt32Col()
sequence = tables.UInt16Col()
id = tables.UInt16Col()
rtr = tables.BoolCol()
length = tables.UInt8Col()
data = tables.UInt8Col(shape=(8, ))
sentinel_end = tables.UInt8Col()
class IndexMsg1553(tables.IsDescription):
''' Class to hold index information
msg_index - Array index of message
msg_time - UTC time of indexed message
'''
offset = tables.UInt64Col()
time = tables.Time64Col()
channel_id = tables.UInt16Col()
rt = tables.UInt8Col()
tr = tables.UInt8Col()
subaddr = tables.UInt8Col()
class Patient(tb.IsDescription):
identifier = tb.UInt16Col(pos=0)
age = tb.UInt8Col(pos=1)
heart_rate = tb.UInt8Col(pos=2)
diastolic_pressure = tb.Float32Col(pos=3)
systolic_pressure = tb.Float32Col(pos=4)
hematocrit = tb.UInt8Col(pos=5)
blood_sugar = tb.Float32Col(pos=6)
class XRay(tb.IsDescription):
# 2-D float array (single-precision)
data = tb.Float32Col(shape=(256, 256)) # 512x512 is too big!
class TopSNPResults(tables.IsDescription):
snp_chr = tables.UInt8Col()
snp_pos = tables.UInt32Col()
score = tables.Float32Col()
maf = tables.Float32Col()
mac = tables.Int32Col()
perc_var_expl = tables.Float32Col()
gene = tables.StringCol(itemsize=20)
gene_chr = tables.UInt8Col()
gene_mid_pos = tables.UInt32Col()
gene_start = tables.UInt32Col()
gene_end = tables.UInt32Col()
class S12Pmt(tb.IsDescription):
"""Store for a S1/S2 of the individual pmts
The table maps a S12Pmt:
peak is the index of the S12 dictionary, running over the number of peaks found
npmt gives the pmt sensor id
time and energy of the peak.
"""
event = tb.Int32Col(pos=0)
peak = tb.UInt8Col(pos=2) # peak number
npmt = tb.UInt8Col(
pos=3) # pmt number (in order of IC db 26/8/2017: equal to SensorID)
ene = tb.Float32Col(pos=5) # energy in pes
class EventObservables(tables.IsDescription):
"""Store information about the observables of an event.
The observables are described for each station independently. So, for each
event (with a unique :attr:`id`), there is a table row for each station
(with a unique :attr:`station_id`), such that only the (id, station_id)
combinations are unique in the table.
.. attribute:: id
a unique identifier for the simulated event (only unique in this table)
.. attribute:: station_id
station identifier, such that you can do::
>>> station = cluster.stations[station_id]
.. attribute:: r, phi, x, y
coordinates of the station. Depending on the simulation, this might be
constant throughout the simulation, or it might change event by event.
.. attribute:: alpha
rotation of the station around its center
.. attribute:: N
number of detectors with at least one particle
"""
id = tables.UInt32Col()
station_id = tables.UInt8Col()
timestamp = tables.Time32Col()
nanoseconds = tables.UInt32Col()
ext_timestamp = tables.UInt64Col()
r = tables.Float32Col()
phi = tables.Float32Col()
x = tables.Float32Col()
y = tables.Float32Col()
alpha = tables.Float32Col()
N = tables.UInt8Col()
t1 = tables.Float32Col()
t2 = tables.Float32Col()
t3 = tables.Float32Col()
t4 = tables.Float32Col()
n1 = tables.Float32Col()
n2 = tables.Float32Col()
n3 = tables.Float32Col()
n4 = tables.Float32Col()
class EventTable(tables.IsDescription):
event_index = tables.UInt64Col()
event_id = tables.UInt64Col()
telescope_id = tables.UInt8Col()
n_photoelectrons = tables.UInt64Col()
energy = tables.Float64Col()
alt = tables.Float64Col()
az = tables.Float64Col()
core_x = tables.Float64Col()
core_y = tables.Float64Col()
h_first_int = tables.Float64Col()
x_max = tables.Float64Col()
shower_primary_id = tables.UInt8Col()
class SimulationParticle(tables.IsDescription):
"""Store information about the particles hitting a detector
Simulations which track individual particles write particle information in
this table. Position, arrival time and energy, as well as the detector
which detected this particle are stored.
.. attribute:: id
a unique identifier for the simulated event (only unique in this table)
.. attribute:: station_id
station identifier, such that you can do::
>>> station = cluster.stations[station_id]
.. attribute:: detector_id
detector identifier, such that you can do::
>>> station = cluster.stations[station_id]
>>> detector = station.detectors[detector_id]
.. attribute:: pid
a particle identifier. Possible values are determined by the
simulation package.
.. attribute:: r, phi
particle position in polar coordinates
.. attribute:: time
arrival time of the particle [ns]
.. attribute:: energy
particle energy [GeV]
"""
id = tables.UInt32Col()
station_id = tables.UInt8Col()
detector_id = tables.UInt8Col()
pid = tables.Int8Col()
r = tables.Float32Col()
phi = tables.Float32Col()
time = tables.Float32Col()
energy = tables.Float32Col()
class GroundParticles(tables.IsDescription):
"""Store information about shower particles reaching ground level"""
particle_id = tables.UInt16Col(pos=0)
r = tables.Float32Col(pos=1)
phi = tables.Float32Col(pos=2)
x = tables.Float32Col(pos=3)
y = tables.Float32Col(pos=4)
t = tables.Float32Col(pos=5)
p_x = tables.Float32Col(pos=6)
p_y = tables.Float32Col(pos=7)
p_z = tables.Float32Col(pos=8)
hadron_generation = tables.UInt8Col(pos=9)
observation_level = tables.UInt8Col(pos=10)
class HitInfoTable(tb.IsDescription):
event_number = tb.Int64Col(pos=0)
trigger_number = tb.UInt32Col(pos=1)
relative_BCID = tb.UInt8Col(pos=2)
LVL1ID = tb.UInt16Col(pos=3)
column = tb.UInt8Col(pos=4)
row = tb.UInt16Col(pos=5)
tot = tb.UInt8Col(pos=6)
BCID = tb.UInt16Col(pos=7)
TDC = tb.UInt16Col(pos=8)
TDC_time_stamp = tb.UInt8Col(pos=9)
trigger_status = tb.UInt8Col(pos=10)
service_record = tb.UInt32Col(pos=11)
event_status = tb.UInt16Col(pos=12)
def StackCalSoln_Description(nPos=1):
strLength = 100
description = {
"intTime" : tables.UInt16Col(), # integration time used for each dither position
"nPos" : tables.UInt16Col(), # number of dither positions
"startTimes" : tables.UInt32Col(nPos), # list of data start times for each position
"stopTimes" : tables.UInt32Col(nPos), # physical y location
"darkSpan" : tables.UInt32Col(2), # start and stop time for dark data
"flatSpan" : tables.UInt32Col(2), # start and stop time for flat data
"xPos" : tables.UInt16Col(nPos), # rough guess at X centroid for each position
"yPos" : tables.UInt16Col(nPos), # rough guess at Y centroid for each position
"numRows" : tables.UInt16Col(), # y-dimension of image
"numCols" : tables.UInt16Col(), # x-dimension of image
"upSample" : tables.UInt16Col(), # divide each pixel into upSample^2 for subpix registration
"padFraction" : tables.Float64Col(), # x-dimension of image
"coldCut" : tables.UInt8Col(), # any pixels with counts<coldCut is set to NAN during regis.
"fitPos" : tables.BoolCol(), # boolean flag to perform fitting for registration
"target" : tables.StringCol(strLength), # name of target object
"date" : tables.StringCol(strLength), # date of observation
"imgDir" : tables.StringCol(strLength), # location of .IMG files
"binDir" : tables.StringCol(strLength), # location of .bin files
"outputDir" : tables.StringCol(strLength), # location where stack was originally saved
"fitsPath" : tables.StringCol(strLength), # full path (dir+filename) for FITS file with stacked image
"refFile" : tables.StringCol(strLength), # path to reference file for image registration
"useImg" : tables.BoolCol(), # boolean flag to use .IMG or .bin data files in stacking
"doHPM" : tables.StringCol(strLength), # string controlling manner that hot pix masks are used
"subtractDark" : tables.BoolCol(), # boolean flag to apply dark
"divideFlat" : tables.BoolCol(), # boolean flag to apply flat
"apMaskRadPrim" : tables.UInt16Col(), # radius of aperture mask around primary object
"apMaskRadSec" : tables.UInt16Col()} # radius of aperture mask around secondary
return description
class Test(tables.IsDescription):
"""A description that has several columns."""
x = tables.Int32Col(shape=2, dflt=0, pos=0)
y = tables.Float64Col(dflt=1.2, shape=(2, 3))
z = tables.UInt8Col(dflt=1)
color = tables.EnumCol(colors, 'red', base='uint32', shape=(2, ))
Info = Info()
class info(tables.IsDescription):
_v_pos = 1
name = tables.StringCol(10)
value = tables.Float64Col(pos=0)
y2 = tables.Float64Col(dflt=1, shape=(2, 3), pos=1)
z2 = tables.UInt8Col(dflt=1)
class info2(tables.IsDescription):
y3 = tables.Float64Col(dflt=1, shape=(2, 3))
z3 = tables.UInt8Col(dflt=1)
name = tables.StringCol(10)
value = tables.EnumCol(colors, 'blue', base='uint32', shape=(1, ))
class info3(tables.IsDescription):
name = tables.StringCol(10)
value = tables.Time64Col()
y4 = tables.Float64Col(dflt=1, shape=(2, 3))
z4 = tables.UInt8Col(dflt=1)
class PYT(tables.IsDescription):
a = tables.Int32Col()
b = tables.UInt8Col()
c = tables.Float32Col()
d = tables.StringCol(len(str(uuid4())) * 4)
e = tables.Time32Col()
f = tables.Time32Col()
class images(ta.IsDescription):
frame_index = ta.Int32Col(shape=(1))
features = ta.UInt8Col(shape=(feature_len))
label = ta.StringCol(128)
camNames = ta.StringCol(32)
actNames = ta.StringCol(64)
partiNames = ta.StringCol(4)
class ThresholdTable(tb.IsDescription):
column = tb.UInt8Col(pos=0)
row = tb.UInt16Col(pos=1)
parameter = tb.Int32Col(pos=2)
vthin_altfine = tb.UInt32Col(pos=3)
vthin_altcoarse = tb.UInt32Col(pos=4)
threshold = tb.Float64Col(pos=5)
class WeatherConfig(tables.IsDescription):
event_id = tables.UInt32Col(pos=0)
timestamp = tables.Time32Col(pos=1)
com_port = tables.UInt8Col(pos=2)
baud_rate = tables.Int16Col(pos=3)
station_id = tables.UInt32Col(pos=4)
database_name = tables.Int32Col(dflt=-1, pos=5)
help_url = tables.Int32Col(dflt=-1, pos=6)
daq_mode = tables.BoolCol(pos=7)
latitude = tables.Float64Col(pos=8)
longitude = tables.Float64Col(pos=9)
altitude = tables.Float64Col(pos=10)
temperature_inside = tables.BoolCol(pos=11)
temperature_outside = tables.BoolCol(pos=12)
humidity_inside = tables.BoolCol(pos=13)
humidity_outside = tables.BoolCol(pos=14)
barometer = tables.BoolCol(pos=15)
wind_direction = tables.BoolCol(pos=16)
wind_speed = tables.BoolCol(pos=17)
solar_radiation = tables.BoolCol(pos=18)
uv_index = tables.BoolCol(pos=19)
evapotranspiration = tables.BoolCol(pos=20)
rain_rate = tables.BoolCol(pos=21)
heat_index = tables.BoolCol(pos=22)
dew_point = tables.BoolCol(pos=23)
wind_chill = tables.BoolCol(pos=24)
offset_inside_temperature = tables.Float32Col(pos=25)
offset_outside_temperature = tables.Float32Col(pos=26)
offset_inside_humidity = tables.Int16Col(pos=27)
offset_outside_humidity = tables.Int16Col(pos=28)
offset_wind_direction = tables.Int16Col(pos=29)
offset_station_altitude = tables.Float32Col(pos=30)
offset_bar_sea_level = tables.Float32Col(pos=31)
class Record(tb.IsDescription):
var1 = tb.StringCol(itemsize=4, dflt=b"abcd", pos=0)
var2 = tb.StringCol(itemsize=1, dflt=b"a", pos=1)
var3 = tb.BoolCol(dflt=1)
var4 = tb.Int8Col(dflt=1)
var5 = tb.UInt8Col(dflt=1)
var6 = tb.Int16Col(dflt=1)
var7 = tb.UInt16Col(dflt=1)
var8 = tb.Int32Col(dflt=1)
var9 = tb.UInt32Col(dflt=1)
var10 = tb.Int64Col(dflt=1)
var11 = tb.Float32Col(dflt=1.0)
var12 = tb.Float64Col(dflt=1.0)
var13 = tb.ComplexCol(itemsize=8, dflt=(1.+0.j))
var14 = tb.ComplexCol(itemsize=16, dflt=(1.+0.j))
if hasattr(tb, 'Float16Col'):
var15 = tb.Float16Col(dflt=1.0)
if hasattr(tb, 'Float96Col'):
var16 = tb.Float96Col(dflt=1.0)
if hasattr(tb, 'Float128Col'):
var17 = tb.Float128Col(dflt=1.0)
if hasattr(tb, 'Complex196Col'):
var18 = tb.ComplexCol(itemsize=24, dflt=(1.+0.j))
if hasattr(tb, 'Complex256Col'):
var19 = tb.ComplexCol(itemsize=32, dflt=(1.+0.j))
class ReconstructedKascadeEvent(tables.IsDescription):
"""Store information about reconstructed events"""
# r, phi is core position
id = tables.UInt32Col()
station_id = tables.UInt8Col()
r = tables.Float32Col()
phi = tables.Float32Col()
alpha = tables.Float32Col()
t1 = tables.Float32Col()
t2 = tables.Float32Col()
t3 = tables.Float32Col()
t4 = tables.Float32Col()
n1 = tables.Float32Col()
n2 = tables.Float32Col()
n3 = tables.Float32Col()
n4 = tables.Float32Col()
reference_theta = tables.Float32Col()
reference_phi = tables.Float32Col()
reconstructed_theta = tables.Float32Col()
reconstructed_phi = tables.Float32Col()
min_n134 = tables.Float32Col()
k_energy = tables.FloatCol()
k_core_pos = tables.FloatCol(shape=2)
k_Num_e = tables.FloatCol()
k_Num_mu = tables.FloatCol()
k_dens_e = tables.FloatCol(shape=4)
k_dens_mu = tables.FloatCol(shape=4)
k_P200 = tables.FloatCol()
k_T200 = tables.FloatCol()
class SubstageEntry(tables.IsDescription):
substagenum = tables.UInt8Col(pos=1)
functionname = tables.StringCol(255)
name = tables.StringCol(255)
stack = tables.StringCol(255)
comments = tables.StringCol(255)
substage_type = tables.EnumCol(substage_types, BOOKKEEPING, base='uint8')
class TraceWriteRange(tables.IsDescription):
index = tables.UInt32Col()
destlo = tables.UInt64Col()
destlo = tables.UInt32Col()
destlolo = tables.UInt32Col()
destlohi = tables.UInt32Col()
desthi = tables.UInt64Col()
desthilo = tables.UInt32Col()
desthihi = tables.UInt32Col()
pc = tables.UInt64Col()
pclo = tables.UInt32Col()
pchi = tables.UInt32Col()
relocatedpc = tables.UInt64Col()
relocatedpclo = tables.UInt32Col()
relocatedpchi = tables.UInt32Col()
lr = tables.UInt64Col()
lrlo = tables.UInt32Col()
lrhi = tables.UInt32Col()
relocatedlr = tables.UInt64Col()
relocatedlrlo = tables.UInt32Col()
relocatedlrhi = tables.UInt32Col()
byteswritten = tables.UInt64Col()
numops = tables.UInt64Col()
cpsr = tables.UInt64Col()
caller = tables.StringCol(40)
substage = tables.UInt8Col()
class ReconstructedEvent(tables.IsDescription):
"""Store information about reconstructed events"""
# r, phi is core position
id = tables.UInt32Col()
station_id = tables.UInt8Col()
r = tables.Float32Col()
phi = tables.Float32Col()
alpha = tables.Float32Col()
t1 = tables.Float32Col()
t2 = tables.Float32Col()
t3 = tables.Float32Col()
t4 = tables.Float32Col()
n1 = tables.Float32Col()
n2 = tables.Float32Col()
n3 = tables.Float32Col()
n4 = tables.Float32Col()
reference_theta = tables.Float32Col()
reference_phi = tables.Float32Col()
reconstructed_theta = tables.Float32Col()
reconstructed_phi = tables.Float32Col()
reference_core_pos = tables.Float32Col(shape=2)
reconstructed_core_pos = tables.Float32Col(shape=2)
reference_shower_size = tables.Float32Col()
reconstructed_shower_size = tables.Float32Col()
min_n134 = tables.Float32Col()
class FontGlyphData(tb.IsDescription):
index = tb.IntCol(pos=1)
charcode = tb.IntCol(pos=2)
unichar = tb.StringCol(8, pos=3)
offset_x = tb.Int16Col(pos=4)
offset_y = tb.Int16Col(pos=5)
width = tb.UInt8Col(pos=6)
height = tb.UInt8Col(pos=7)
atlas_x = tb.UInt16Col(pos=8)
atlas_y = tb.UInt16Col(pos=9)
atlas_w = tb.UInt16Col(pos=10)
atlas_h = tb.UInt16Col(pos=11)
tex_x1 = tb.Float32Col(pos=12)
tex_y1 = tb.Float32Col(pos=13)
tex_x2 = tb.Float32Col(pos=14)
tex_y2 = tb.Float32Col(pos=15)
class RegEntry(tables.IsDescription):
name = tables.StringCol(512)
address = tables.UInt32Col()
width = tables.UInt8Col()
reset = tables.StringCol(16)
typ = tables.StringCol(16)
offset = tables.UInt32Col()
table = tables.StringCol(256)
class SubstageWriteIntervals(tables.IsDescription):
substagenum = tables.UInt8Col()
minaddr = tables.UInt64Col()
minaddrlo = tables.UInt32Col()
minaddrhi = tables.UInt32Col()
maxaddr = tables.UInt64Col()
maxaddrlo = tables.UInt32Col()
maxaddrhi = tables.UInt32Col()
class images(ta.IsDescription):
frame_index = ta.Int32Col(shape = (1))
features = ta.UInt8Col(shape = (N_FEATURES_TOTAL*N_PARTS))
label = ta.StringCol(128)
aviNames = ta.StringCol(256)
camname = ta.StringCol(16)
actname = ta.StringCol(64)
partiname = ta.StringCol(8)
