def detsim(files_in, file_out, compression, event_range, detector_db,
run_number, krmap_filename, psfsipm_filename):
npmt, nsipm = dsim.npmts, dsim.nsipms
pmt_wid, sipm_wid = dsim.wf_pmt_bin_time, dsim.wf_sipm_bin_time
nsamp_pmt = int(dsim.wf_buffer_time // pmt_wid)
nsamp_sipm = int(dsim.wf_buffer_time // sipm_wid)
generate_wfs_ = fl.map(get_function_generate_wfs(
krmap_filename=krmap_filename, psfsipm_filename=psfsipm_filename),
args=("hits"),
out=("wfs"))
with tb.open_file(file_out, "w",
filters=tbl.filters(compression)) as h5out:
write_mc = fl.sink(mc_info_writer(h5out), args=("mc", "evt"))
wf_writer_ = fl.sink(wf_writer(h5out,
n_sens_eng=npmt,
n_sens_trk=nsipm,
length_eng=nsamp_pmt,
length_trk=nsamp_sipm),
args=("evt", "wfs"))
save_run_info(h5out, run_number)
return push(source=load_hits(files_in),
pipe=pipe(generate_wfs_, fork(wf_writer_, write_mc)))
def position_signal(conf):
files_in = glob(os.path.expandvars(conf.files_in))
file_out = os.path.expandvars(conf.file_out)
detector_db = conf.detector_db
run_number = int(conf.run_number)
max_time = int(conf.max_time)
buffer_length = float(conf.buffer_length)
pre_trigger = float(conf.pre_trigger)
trg_threshold = float(conf.trg_threshold)
compression = conf.compression
npmt, nsipm = get_no_sensors(detector_db, run_number)
pmt_wid, sipm_wid = get_sensor_binning(files_in[0])
nsamp_pmt = int(buffer_length * units.mus / pmt_wid)
nsamp_sipm = int(buffer_length * units.mus / sipm_wid)
bin_calculation = calculate_binning(max_time)
pmt_binning = fl.map(bin_calculation,
args = ("pmt_wfs" , "pmt_binwid"),
out = ("pmt_bins", "pmt_bin_wfs"))
extract_minmax = fl.map(bin_minmax,
args = "pmt_bins",
out = ("min_bin", "max_bin"))
sipm_binning = fl.map(bin_calculation,
args = ("sipm_wfs", "sipm_binwid",
"min_bin" , "max_bin") ,
out = ("sipm_bins", "sipm_bin_wfs"))
sensor_order_ = fl.map(partial(sensor_order,
detector_db = detector_db,
run_number = run_number),
args = ("pmt_bin_wfs", "sipm_bin_wfs"),
out = ("pmt_ord", "sipm_ord"))
trigger_finder_ = fl.map(trigger_finder(buffer_length,
pmt_wid, trg_threshold),
args = "pmt_wfs",
out = "triggers")
event_times = fl.map(trigger_times,
args = ("triggers", "timestamp", "pmt_bins"),
out = "evt_times")
calculate_buffers_ = fl.map(calculate_buffers(buffer_length, pre_trigger,
pmt_wid , sipm_wid),
args = ("triggers",
"pmt_bins" , "pmt_bin_wfs",
"sipm_bins", "sipm_bin_wfs"),
out = "buffers")
with tb.open_file(file_out, "w", filters = tbl.filters(compression)) as h5out:
write_mc = fl.sink(mc_info_writer(h5out),
args = ("mc", "evt"))
buffer_writer_ = fl.sink(buffer_writer(h5out ,
n_sens_eng = npmt ,
n_sens_trk = nsipm ,
length_eng = nsamp_pmt ,
length_trk = nsamp_sipm),
args = ("evt", "pmt_ord", "sipm_ord",
"evt_times", "buffers"))
save_run_info(h5out, run_number)
return push(source = load_sensors(files_in, detector_db, run_number),
pipe = pipe(pmt_binning ,
extract_minmax ,
sipm_binning ,
sensor_order_ ,
trigger_finder_ ,
event_times ,
calculate_buffers_ ,
fork(buffer_writer_,
write_mc )))
def write(data):
file.write(f"{data}\n")
return write
@fl.RESULT
def counter(future):
count = 0
try:
while True:
yield
count += 1
finally:
future.set_result(count)
count = counter()
# and count.sink would be used as a pipe component
with open("demonstration_0.txt", "w") as file:
print_ = fl.sink(print, args="final result")
write = fl.sink(file_writer(file), args="final result")
result = fl.push(source=lost_numbers(),
pipe=fl.pipe(fl.branch(count.sink), add_42, take_sqrt,
fl.fork(print_, write)),
result=dict(n_numbers=count.future))
print(f"We have looped over {result.n_numbers} numbers")
def number_adder(y):
def adder(x):
return x + y
return adder
from math import sqrt
add_42 = fl.map(number_adder(42), args="number", out="number+42")
take_sqrt = fl.map(sqrt, args="number+42", out="final result")
do_everything = fl.pipe(add_42, take_sqrt)
def file_writer(file):
def write(data):
file.write(f"{data}\n")
return write
with open("demonstration_0.txt", "w") as file:
print_ = fl.sink(print, args="final result")
write = fl.sink(file_writer(file), args="final result")
fl.push(source=lost_numbers(),
pipe=fl.pipe(fl.spy(print), add_42, fl.spy(print), take_sqrt,
fl.spy(print), fl.fork(print_, write)),
result=())