def convert_tim_to_dat(tim):
"""Convert a SIGPROC time series .tim file to a
PRESTO .dat time series
Input:
tim: The SIGPROC .tim time series file to convert.
Output:
datfn: The PRESTO .dat time series file
"""
if not tim.endswith(".tim"):
raise ValueError("Was expecting a file name ending with '.tim'. "
"Got: %s" % tim)
path, fn = os.path.split(tim)
basenm = fn[:-4]
outfn = os.path.join(path, basenm+".dat")
hdr, hdrlen = sigproc.read_header(tim)
N = sigproc.samples_per_file(tim, hdr, hdrlen)
Ndone = 0
status = -1
with open(tim, 'rb') as inff, open(outfn, 'wb') as outff:
inff.seek(hdrlen)
data = np.fromfile(inff, dtype='float32', count=BLOCKSIZE)
while data.size:
data.tofile(outff)
Ndone += data.size
data = np.fromfile(inff, dtype='float32', count=BLOCKSIZE)
newstatus = int(100.0*Ndone/N)
if newstatus > status:
sys.stdout.write(" %d %%\r" % newstatus)
sys.stdout.flush()
status = newstatus
return outfn
def read_jobs_queue(jobs):
nb_jobs_sub=0
try:
file = open("%s/queue.dat"%basedir, "r")
for line in file.readlines():
#
(job,box) = line.split()
print job,box
box=box.replace("\n","")
jobs_list.append(job)
jobs_wlist.append(job)
jobs[job]=Job()
jobs[job].box=box
# Determine size
fil_filenm = "/data5/%s"%job.replace(".fbk","_p00.fbk")
filhdr, hdrlen = sigproc.read_header(fil_filenm)
orig_N = sigproc.samples_per_file(fil_filenm, filhdr, hdrlen)
if orig_N > 4194304:
logfile.write('Job %s detected L'%job);logfile.flush()
jobs[job].long=1
###################
nb_jobs_sub += 1
file.close()
return nb_jobs_sub
except:
return 0
def convert_tim_to_dat(tim):
"""Convert a SIGPROC time series .tim file to a
PRESTO .dat time series
Input:
tim: The SIGPROC .tim time series file to convert.
Output:
datfn: The PRESTO .dat time series file
"""
if not tim.endswith(".tim"):
raise ValueError("Was expecting a file name ending with '.tim'. "
"Got: %s" % tim)
path, fn = os.path.split(tim)
basenm = fn[:-4]
outfn = os.path.join(path, basenm + ".dat")
hdr, hdrlen = sigproc.read_header(tim)
N = sigproc.samples_per_file(tim, hdr, hdrlen)
Ndone = 0
status = -1
with open(tim, 'rb') as inff, open(outfn, 'wb') as outff:
inff.seek(hdrlen)
data = np.fromfile(inff, dtype='float32', count=BLOCKSIZE)
while data.size:
data.tofile(outff)
Ndone += data.size
data = np.fromfile(inff, dtype='float32', count=BLOCKSIZE)
newstatus = int(100.0 * Ndone / N)
if newstatus > status:
sys.stdout.write(" %d %%\r" % newstatus)
sys.stdout.flush()
status = newstatus
return outfn
def __init__(self, fil_filenm, box):
self.fil_filenm = fil_filenm
self.basefilenm = fil_filenm.rstrip(".sig")
#self.beam = int(self.basefilenm[-1])
self.beam = int(self.basefilenm)
filhdr, self.hdrlen = sigproc.read_header(fil_filenm)
self.orig_filenm = filhdr['rawdatafile']
self.MJD = filhdr['tstart']
self.nchans = filhdr['nchans']
self.ra_rad = sigproc.ra2radians(filhdr['src_raj'])
self.ra_string = psr_utils.coord_to_string(\
*psr_utils.rad_to_hms(self.ra_rad))
self.dec_rad = sigproc.dec2radians(filhdr['src_dej'])
self.dec_string = psr_utils.coord_to_string(\
*psr_utils.rad_to_dms(self.dec_rad))
self.az = filhdr['az_start']
self.el = 90.0-filhdr['za_start']
self.BW = abs(filhdr['foff']) * filhdr['nchans']
self.dt = filhdr['tsamp']
self.orig_N = sigproc.samples_per_file(fil_filenm, filhdr, self.hdrlen)
self.orig_T = self.orig_N * self.dt
self.N = choose_N(self.orig_N)
#self.N = 2097152
self.T = self.N * self.dt
# Update the RA and DEC from the database file if required
#newposn = read_db_posn(self.orig_filenm, self.beam)
#if newposn is not None:
# self.ra_string, self.dec_string = newposn
# ... and use them to update the filterbank file
# fix_fil_posn(fil_filenm, self.hdrlen,
# self.ra_string, self.dec_string)
# Determine the average barycentric velocity of the observation
#self.baryv = get_baryv(self.ra_string, self.dec_string,
# self.MJD, self.T, obs="NC")
# Where to dump all the results
# Directory structure is under the base_output_directory
# according to base/MJD/filenmbase/beam
self.outputdir = os.path.join(base_output_directory,box,
self.basefilenm)
# Figure out which host we are processing on
self.hostname = socket.gethostname()
# The fraction of the data recommended to be masked by rfifind
self.masked_fraction = 0.0
# Initialize our timers
self.rfifind_time = 0.0
self.downsample_time = 0.0
self.subbanding_time = 0.0
self.dedispersing_time = 0.0
self.FFT_time = 0.0
self.lo_accelsearch_time = 0.0
self.hi_accelsearch_time = 0.0
self.singlepulse_time = 0.0
self.sifting_time = 0.0
self.folding_time = 0.0
self.total_time = 0.0
# Inialize some candidate counters
self.num_sifted_cands = 0
self.num_folded_cands = 0
self.num_single_cands = 0
self.nb_sp = 0
def fb_samp(flist):
"""
Count the number of samples in a SIGPROC filterbank file.
Currently only handles one file, but would not be too hard
to update for multifile.
"""
fillist = flist
if len(fillist) > 1:
print "Currently can handle only one .fil file"
sys.exit(0)
fil_filenm = fillist[0]
filhdr, hdrlen = sigproc.read_header(fil_filenm)
n_samp = sigproc.samples_per_file(fil_filenm, filhdr, hdrlen)
return n_samp
def submit_jobs(filename):
"""
To Submit a Job :
jobs_list(job_id)
jobs_wlist(job_id)
jobs[job_id]=Job()
jobs[job_id].box_id
"""
nb_jobs=0
try:
print "Try to open %s"%filename
file = open(filename, "r")
for job in file.readlines():
job=job.replace("\n","")
jobs_list.append(job)
jobs_wlist.append(job)
jobs[job]=Job()
# Determine size
fil_filenm = "/data5/%s"%job.replace(".fbk","_p00.fbk")
filhdr, hdrlen = sigproc.read_header(fil_filenm)
orig_N = sigproc.samples_per_file(fil_filenm, filhdr, hdrlen)
if orig_N > 4194304:
logfile.write('Job %s detected L\n'%job);logfile.flush()
jobs[job].long=1
###################
c=filename.index("/")
jobs[job].box=filename[c+1:]
nb_jobs += 1
file.close()
write_jobs_queue()
return nb_jobs
except: return 0
def submit_a_job(job,box):
"""
To resubmit a job after deletion by 'remove_a_job'
"""
jobs_list.append(job)
jobs_wlist.append(job)
jobs[job]=Job()
jobs[job].box=box
# Determine size
fil_filenm = "/data5/%s"%job.replace(".fbk","_p00.fbk")
filhdr, hdrlen = sigproc.read_header(fil_filenm)
orig_N = sigproc.samples_per_file(fil_filenm, filhdr, hdrlen)
if orig_N > 4194304:
logfile.write('Job %s detected L'%job);logfile.flush()
jobs[job].long=1
else:
jobs[job].long=0
###################
write_jobs_queue()
def __init__(self, fil_filenm):
self.fil_filenm = fil_filenm
self.basefilenm = fil_filenm.rstrip(".fil")
self.beam = int(self.basefilenm[-1])
filhdr, self.hdrlen = sigproc.read_header(fil_filenm)
self.orig_filenm = filhdr['rawdatafile']
self.MJD = filhdr['tstart']
self.nchans = filhdr['nchans']
self.ra_rad = sigproc.ra2radians(filhdr['src_raj'])
self.ra_string = psr_utils.coord_to_string(\
*psr_utils.rad_to_hms(self.ra_rad))
self.dec_rad = sigproc.dec2radians(filhdr['src_dej'])
self.dec_string = psr_utils.coord_to_string(\
*psr_utils.rad_to_dms(self.dec_rad))
self.az = filhdr['az_start']
self.el = 90.0 - filhdr['za_start']
self.BW = abs(filhdr['foff']) * filhdr['nchans']
self.dt = filhdr['tsamp']
self.orig_N = sigproc.samples_per_file(fil_filenm, filhdr, self.hdrlen)
self.orig_T = self.orig_N * self.dt
self.N = psr_utils.choose_N(self.orig_N)
self.T = self.N * self.dt
# Update the RA and DEC from the database file if required
newposn = read_db_posn(self.orig_filenm, self.beam)
if newposn is not None:
self.ra_string, self.dec_string = newposn
# ... and use them to update the filterbank file
fix_fil_posn(fil_filenm, self.hdrlen, self.ra_string,
self.dec_string)
# Determine the average barycentric velocity of the observation
self.baryv = presto.get_baryv(self.ra_string,
self.dec_string,
self.MJD,
self.T,
obs="AO")
# Where to dump all the results
# Directory structure is under the base_output_directory
# according to base/MJD/filenmbase/beam
self.outputdir = os.path.join(base_output_directory,
str(int(self.MJD)), self.basefilenm[:-2],
str(self.beam))
# Figure out which host we are processing on
self.hostname = socket.gethostname()
# The fraction of the data recommended to be masked by rfifind
self.masked_fraction = 0.0
# Initialize our timers
self.rfifind_time = 0.0
self.downsample_time = 0.0
self.subbanding_time = 0.0
self.dedispersing_time = 0.0
self.FFT_time = 0.0
self.lo_accelsearch_time = 0.0
self.hi_accelsearch_time = 0.0
self.singlepulse_time = 0.0
self.sifting_time = 0.0
self.folding_time = 0.0
self.total_time = 0.0
# Inialize some candidate counters
self.num_sifted_cands = 0
self.num_folded_cands = 0
self.num_single_cands = 0
