class RaExperiment:
"""This class describe experiment in RadioAstron AGN survey"""
def __init__(self, experiment_code, band, data_base, data_dir=None,
uv_fits=None, orbit=None, gvlbi=False):
"""
Parameters
----------
experiment_code : str
Experiment code.
band : srt
One letter frequency band code.
data_base : pypima.db.DB
pypima.db.DB instance.
data_dir : str, optional
Directory for FITS-IDI. If ``None`` working directory of the
current experiment is used.
uv_fits : str, optional
Path to the data file (FITS-IDI). If ``None`` (default) get a file
name from data base and download file from the FTP archive.
orbit : str, optional
Path to a file with reconstructed orbit. If ``None`` (default),
download it from the FTP archive.
gvlbi : bool, optional
If ``True``, process ground only of part of the experiment (GVLBI
FITS file).
"""
# First, set common variables
self.exper = experiment_code.lower()
self.band = band.lower()
self.db = data_base
self.gvlbi = gvlbi
self.sta_ref = 'RADIO-AS'
self.run_id = 0 # Record id in pima_runs database table
self.lock = threading.Lock() # Lock for FITS file downloading control
self.logger = logging.getLogger('{}({})'.format(self.exper, self.band))
self.antab = None
self.antab_downloaded = False
self.calibration_loaded = False
self.split_time_aver = 0
self.pima = None
self.uv_fits = uv_fits
self.orbit = orbit
self.fri = None # Result of last fringe fitting
if self.band not in ('p', 'l', 'c', 'k'):
self._error('unknown band {}'.format(band))
self.pima_dir = os.getenv('PIMA_DIR')
self.exp_dir = os.getenv('pima_exp_dir')
if not self.exp_dir:
self._error("Environment variable $pima_exp_dir is not set")
self.pima_scr = os.getenv('pima_scr_dir')
# Work directory path
self.work_dir = os.path.join(self.exp_dir, self.exper + '_auto')
if self.gvlbi:
self.work_dir += '_gvlbi'
# Select directory for raw data from a correlator
if data_dir:
self.data_dir = os.path.join(data_dir, self.exper)
else:
self.data_dir = self.work_dir
# PIMA control file path
self.cnt_file_name = os.path.join(self.work_dir, '{}_{}_pima.cnt'.
format(self.exper, self.band))
def init_workdir(self):
"""
Create working directory and PIMA control file.
"""
# Create work directory
os.makedirs(self.work_dir, exist_ok=True)
os.chdir(self.work_dir)
# Create PIMA control file
self._mk_cnt()
self.pima = Pima(self.exper, self.band, self.work_dir)
# Only one sideband at P-band
if self.band == 'p':
self.pima.update_cnt({'END_FRQ:': '1'})
# Restrict delay rate window to +- 12 cm/s
self.pima.update_cnt({'FRIB.RATE_WINDOW_WIDTH:': '4.0D-10'})
staging_dir = os.getenv('PYPIMA_STAGING_DIR', default='NO')
if os.path.isdir(staging_dir):
staging_dir = os.path.join(staging_dir, self.exper)
if not os.path.exists(staging_dir):
os.mkdir(staging_dir)
self.pima.update_cnt({'STAGING_DIR:': staging_dir})
def _print_info(self, msg):
"""Print some information"""
self.logger.info(msg)
def _print_warn(self, msg):
"""Print warning"""
self.logger.warning(msg)
def _error(self, msg):
"""Raise pima.Error exception"""
self.logger.error(msg)
raise Error(self.exper, self.band, msg)
def _mk_cnt(self):
"""
Make new cnt-file from template.
"""
cnt_templ_name = os.path.join(self.pima_dir, 'share', 'pima',
'TEMPLATE_pima.cnt')
cnt_templ = open(cnt_templ_name, 'r')
cnt_file = open(self.cnt_file_name, 'w')
sess_code = '{}_{}'.format(self.exper, self.band)
fringe_file = os.path.join(self.work_dir, sess_code + '.fri')
frires_file = os.path.join(self.work_dir, sess_code + '.frr')
if self.band in ('l', 'p'):
polar = 'RR'
else:
polar = 'LL'
for line in cnt_templ:
if '@CDATE@' in line:
line = line.replace('@CDATE@', str(datetime.now()))
elif line.startswith('SESS_CODE:'):
line = line.replace('@sess_code@', sess_code)
elif line.startswith('BAND:'):
line = line.replace('@band@', self.band.upper())
elif line.startswith('EXPER_DIR:'):
line = line.replace('@exper_dir@', self.pima_scr)
elif line.startswith('UV_FITS:') and self.uv_fits:
line = line.replace('@uv_fits@', self.uv_fits)
elif line.startswith('FRINGE_FILE:'):
line = line.replace('@fringe_file@', fringe_file)
elif line.startswith('FRIRES_FILE:'):
line = line.replace('@frires_file@', frires_file)
elif line.startswith('STA_REF:') and self.sta_ref:
line = '{:<20}{}\n'.format('STA_REF:', self.sta_ref)
elif line.startswith('EPHEMERIDES_FILE:') and self.orbit:
line = line.replace('@ephemerides_file@', self.orbit)
elif line.startswith('POLAR:') or line.startswith('SPLT.POLAR:'):
line = line.replace('@polar@', polar)
cnt_file.write(line)
cnt_templ.close()
cnt_file.close()
def _download_fits(self, force_small=False):
"""
Download FITS-file from the FTP archive.
"""
# data_dir = os.path.join(self.data_dir, self.exper)
fits_url, size = self.db.get_uvfits_url(self.exper, self.band,
self.gvlbi, force_small)
if not fits_url:
self._error('Could not find FITS file name in DB')
# Delete spaces in filename
uv_fits = os.path.join(self.data_dir,
os.path.basename(fits_url).replace(' ', ''))
if os.path.isfile(uv_fits) and os.path.getsize(uv_fits) == size:
self.logger.info('File %s already exists', uv_fits)
else:
os.makedirs(self.data_dir, exist_ok=True)
self.logger.info('Start downloading file %s...', fits_url)
try:
with open(uv_fits, 'wb') as fil:
_download_it(fits_url, fil, max_retries=2)
except pycurl.error as err:
self._error('Could not download file {}: {}'.
format(fits_url, err))
self.logger.info('FITS-file downloading is complete')
# We use self.uv_fits as a flag of FITS file existence, so set it at
# the end of this function
self.uv_fits = uv_fits
def _get_orbit(self):
"""Download reconstructed orbit file from FTP"""
orbit_url = self.db.get_orbit_url(self.exper)
if not orbit_url:
self._error('Could not find reconstructed orbit')
self.orbit = os.path.join(self.work_dir, os.path.basename(orbit_url))
self._print_info('Start downloading orbit file {} ...'.
format(orbit_url))
buffer = BytesIO()
try:
_download_it(orbit_url, buffer)
except pycurl.error as err:
self._error('Could not download file {}: {}'.
format(orbit_url, err))
orb_data = buffer.getvalue().decode().replace('\r\n', '\n').split('\n')
with open(self.orbit, 'w') as orb_file:
if not orb_data[0].startswith('CCSDS_OEM_VERS'):
orb_file.write('CCSDS_OEM_VERS = 2.0\n')
# Fix meta information
for line in orb_data:
if line.startswith('CENTER_NAME'):
line = 'CENTER_NAME = Earth Barycenter'
elif line.startswith('OBJECT_NAME'):
line = 'OBJECT_NAME = RADIO-ASTRON'
elif line.startswith('CREATION'):
line = line.replace('CREATION DATE', 'CREATION_DATE')
elif line.startswith('STOP_TIME') and len(line) < 20:
for back_line in reversed(orb_data):
cols = back_line.split()
if len(cols):
break
line = line.strip() + ' ' + cols[0]
orb_file.write(line + '\n')
self._print_info('Orbit downloading is complete')
self.pima.update_cnt({'EPHEMERIDES_FILE:': self.orbit})
def _get_antab(self):
"""
Download ANTAB-file from the FTP server.
"""
antab_url = self.db.get_antab_url(self.exper, self.band)
if not antab_url:
self._print_warn('Could not get ANTAB-file url from DB.')
else:
antab_dir = os.path.join(self.work_dir, 'antab')
os.makedirs(antab_dir, exist_ok=True)
antab_file = os.path.join(antab_dir,
os.path.basename(antab_url) + '.orig')
self._print_info('Start downloading file {}'.format(antab_url))
try:
with open(antab_file, 'wb') as fil:
_download_it(antab_url, fil)
self.antab_downloaded = True
self._print_info('ANTAB-file downloading is complete.')
self.antab = self._fix_antab(antab_file)
except pycurl.error as err:
self.antab_downloaded = False
self._print_warn('Could not download file {}: {}'.
format(antab_url, err))
def _fix_antab(self, antab):
"""
Fix antab.
"""
if not antab or not os.path.isfile(antab):
return None
new_antab = antab.replace('.orig', '')
# ANTAB file already exists and prepared
if antab == new_antab:
return new_antab
freq_setup = self.pima.frequencies()
freq_list = [1e-6 * freq['freq'] for freq in freq_setup]
# Should we fix frequency setup?
fix_freq = False
if self.band != 'p' and freq_setup[0]['side_band'] != -1:
fix_freq = True
sta_list = self.pima.station_list(ivs_name=False)
with open(antab, 'r') as inp, open(new_antab, 'w') as out:
magic = inp.readline()
if not magic.startswith('! Produced by: TSM'):
self._print_warn('antab file {} does NOT have magic in the \
first line'.format(antab))
return None
# Do not forget to write a 'magic' line to the output file
out.write(magic)
for line in inp:
line = line.strip()
# Skip empty lines
if not line:
continue
if line.startswith('POLY') and line.endswith('/'):
line = line.replace('/', ' /')
elif line.startswith('GAIN WB'):
line = 'GAIN WB EQUAT DPFU=1.0,1.0 FREQ=1000,5000'
elif line.startswith('DPFU=1.0'):
line = ''
elif line.startswith('/') and len(line) > 1:
line = line.replace('/', '/ ', 1)
elif not line.startswith('!') and '!' in line:
line = line.split('!')[0].strip()
# VLA (raes11a and friends)
if 'YY' in sta_list and 'Y27' in line:
line = line.replace('Y27', 'YY')
elif 'KZ' in sta_list and 'KL' in line:
line = line.replace('KL', 'KZ')
elif 'EF' in sta_list and 'EB' in line:
line = line.replace('EB', 'EF')
toks = line.split()
# Fix EF C-band channels table
if len(toks) == 10 and toks[0] == '!' and toks[1].isdigit():
toks.insert(2, "6cm")
if fix_freq and len(toks) > 9 and toks[1].isdigit():
if toks[6] == 'L':
toks[6] = 'U'
toks[9] = '{:.2f}MHz'.format(freq_list[0])
# Deselect stations
if toks[0] == 'TSYS' and len(toks) > 4:
toks[4] = toks[4].upper()
if toks[4] not in sta_list:
toks.insert(0, '!')
elif toks[0] == 'GAIN':
# EF, L-band GAINs
if toks[-1] == '/':
for ind in range(len(toks)):
if toks[ind].startswith('POLY'):
toks[ind] = "\n" + toks[ind]
break
# Comment out GAIN line for different frequency
for tok in toks:
if tok.startswith('FREQ=') and ',' in tok:
fr1, fr2 = tok.replace('FREQ=', '').split(',')
fr1 = float(fr1) # Lower limit
fr2 = float(fr2) # Upper limit
if min(freq_list) < fr1 or max(freq_list) > fr2:
toks.insert(0, '!')
break
elif toks[0] == '/' and len(toks) > 1:
toks[1] = "\n" + toks[1]
out.write(' '.join(toks) + '\n')
return new_antab
def load(self, download_only=False, update_db=False,
scan_length=1200, scan_part=1, force_small=False):
"""
Download data, run pima load, and do some checks.
Parameters
----------
download_only : bool, optional
If ``True``, download FITS-file and return.
update_db : bool, optional
If ``True``, update database with experiment information.
scan_length : float, optional
Set maximum length of scan. Default is 20 min.
scan_part : int, optional
1 is full scan, 2 is half of scan. In general `scan_part` can be
used as run index.
"""
# If self.uv_fits is not None assume FITS file already exists
with self.lock:
if self.uv_fits is None:
self._download_fits(force_small)
if download_only:
return
self.pima.update_cnt({'UV_FITS:': self.uv_fits})
if self.orbit is None:
self._get_orbit()
# Set maximum scan length
self._print_info('Set maximum scan length to {} s'.format(scan_length))
self.pima.update_cnt({'MAX_SCAN_LEN:': str(scan_length),
'SCAN_LEN_USED:': str(scan_length)})
if update_db:
self.run_id = self.db.add_exper_info(self.exper, self.band,
os.path.basename(self.uv_fits),
scan_part)
self.pima.load()
if update_db:
self.db.update_exper_info(self.pima.exper_info, self.run_id)
if scan_part == 1:
self.db.model2db(self.run_id, self.pima.clock_model())
#
# Various checks and setups
#
if self.pima.obs_number() == 0:
self._error('ZERO observations have been loaded')
sou_dist = self.pima.source_dist()
for source, distance in sou_dist.items():
if distance > 1.0:
self._error('Dist = {} arcsec for source {}'.
format(distance, source))
if 'RADIO-AS' not in self.pima.station_list():
self._print_warn('RADIO-AS is not in station list')
self.sta_ref = self.pima.station_list()[0]
self.pima.update_cnt({'STA_REF:': self.sta_ref})
desel_nam = self.pima.number_of_deselected_points()
if desel_nam > 10:
self._print_warn('Total number of deselected points is ' +
str(desel_nam))
# Save memory by reducing oversampling
if self.pima.ap_minmax()[0] < 0.1:
self.pima.update_cnt({'FRIB.OVERSAMPLE_MD:': '2',
'FRIB.OVERSAMPLE_RT:': '2'})
# Average all spectral channels in each IF when splitting.
self.pima.update_cnt({'SPLT.FRQ_MSEG:': str(self.pima.chan_number())})
if scan_part:
self.pima.update_cnt({'FRIB.1D_RESFRQ_PLOT:': 'TXT',
'FRIB.1D_RESTIM_PLOT:': 'TXT'})
else:
self.pima.update_cnt({'FRIB.1D_RESFRQ_PLOT:': 'NO',
'FRIB.1D_RESTIM_PLOT:': 'NO'})
def load_antab(self):
"""
Download ANTAB file and load calibration information to PIMA.
"""
# Always download antab-file.
if not self.antab_downloaded:
self._get_antab()
# Try to load calibration information from ANTAB
if self.antab and os.path.isfile(self.antab):
try:
self.pima.load_gains(self.antab)
self.pima.load_tsys(self.antab)
self.calibration_loaded = True
except pypima.pima.Error:
self._print_warn('Could not load calibration information')
self.calibration_loaded = False
def _select_ref_sta(self, fri):
"""
Select reference station for bandpass calibration.
Parameters
----------
fri : ``Fri`` object
``PIMA`` fringe fitting results as ``Fri`` object.
"""
snr_detecton = float(self.pima.cnt_params['FRIB.SNR_DETECTION:'])
self.sta_ref = None
snr = 0
obs = fri.max_snr('RADIO-AS')
if obs:
if obs['SNR'] < snr_detecton:
self.logger.debug('SNR is too low on space baseline for \
bandpass: %s', obs['SNR'])
else:
if obs['sta1'] == 'RADIO-AS':
self.sta_ref = obs['sta2']
elif obs['sta2'] == 'RADIO-AS':
self.sta_ref = obs['sta1']
else:
self._print_info('No scans with RADIO-AS')
if not self.sta_ref:
obs = fri.max_snr()
if obs['SNR'] < snr_detecton:
self.logger.debug('SNR is too low for bandpass: %s',
obs['SNR'])
else:
good_stations = ['ARECIBO', 'GBT-VLBA', 'EFLSBERG']
for sta in good_stations:
if sta in [obs['sta1'], obs['sta2']]:
self.sta_ref = sta
break
if self.sta_ref is None:
self.sta_ref = obs['sta1']
if self.sta_ref:
snr = round(min(10.0, obs['SNR']-0.1), 1)
self.pima.update_cnt({'STA_REF:': self.sta_ref,
'BPS.SNR_MIN_ACCUM:': str(snr),
'BPS.SNR_MIN_FINE:': str(snr)})
self.logger.info('New reference station is %s', self.sta_ref)
self.logger.info('Set SNR_MIN for bandpass to %s', snr)
return True
else:
return False
def fringe_fitting(self, bandpass=False, accel=False):
"""
Do fringe fitting.
Parameters
----------
bandpass : bool, optional
If ``True`` try to do bandpass calibration. Default is ``False``.
accel : boot, optional
If ``True`` turn on phase acceleration fitting.
Returns
-------
fri : ``Fri`` object
Fringe fitting results as ``Fri`` object.
"""
if accel:
self.pima.update_cnt({'FRIB.FINE_SEARCH:': 'ACC'})
if self.band == 'l':
self.pima.update_cnt({'PHASE_ACCEL_MIN:': '-1.D-13',
'PHASE_ACCEL_MAX:': '1.D-13'})
elif self.band == 'k':
self.pima.update_cnt({'PHASE_ACCEL_MIN:': '-5.D-15',
'PHASE_ACCEL_MAX:': '5.D-15'})
else:
self.pima.update_cnt({'PHASE_ACCEL_MIN:': '-1.D-14',
'PHASE_ACCEL_MAX:': '1.D-14'})
else:
self.pima.update_cnt({'FRIB.FINE_SEARCH:': 'LSQ',
'PHASE_ACCEL_MIN:': '0',
'PHASE_ACCEL_MAX:': '0'})
if bandpass and self.pima.chan_number() > 512:
self._print_warn('Too many spectral channels for bandpass: {}'.
format(self.pima.chan_number()))
bandpass = False
if bandpass:
fri_file = self.pima.coarse()
fri = Fri(fri_file)
if not fri:
self._error('PIMA fri-file is empty after coarse.')
# Detection limit for bandpass calibration
self.pima.update_cnt({'FRIB.SNR_DETECTION:': '5.5'})
# Now auto select reference station
if self._select_ref_sta(fri):
try:
self.pima.bpas()
except pypima.pima.Error:
self._print_info('Try INIT bandpass')
try:
self.pima.bpas(['BPS.MODE:', 'INIT'])
except pypima.pima.Error:
self._print_info('Continue without bandpass')
self.pima.update_cnt({'BANDPASS_FILE:': 'NO'})
bandpass = False
else:
self.logger.info('skip bandpass due to absence of the useful \
scans')
bandpass = False
fri_file = self.pima.fine()
self.fri = Fri(fri_file)
self.fri.aux['bandpass'] = bandpass
if not self.fri:
self.logger.warning('PIMA fri-file is empty after fine')
else:
if self.pima.exper_info['sp_chann_num'] <= 128:
ch_num = 64
else:
ch_num = 2048
self.fri.update_status(ch_num)
return self.fri
def split(self, source=None, average=0):
"""
Split a multi-source uv data set into single-source data files.
Parameters
----------
source : string, optional
Do split only for given source. By default split all sources in
the experiment.
average : float, optional
Number of seconds to average data when splitting. `average` <= 0
disables time averaging.
"""
# Delete old uv-fits remained from previous run
exper_dir = self.pima.cnt_params['EXPER_DIR:']
sess_code = self.pima.cnt_params['SESS_CODE:']
pima_fits_dir = os.path.join(exper_dir, sess_code + '_uvs')
if os.path.isdir(pima_fits_dir):
shutil.rmtree(pima_fits_dir)
if not self.calibration_loaded:
self.logger.warning('Could not do splitting due to absence of \
calibartion information')
return
if not self.fri.any_detections():
self.logger.warning('No useful scans for splitting')
return
snr_detection = round(min(7.0, self.fri.min_detected_snr()-0.05), 2)
self.logger.info('Set FRIB.SNR_DETECTION to %s', snr_detection)
split_params = ['FRIB.SNR_DETECTION:', str(snr_detection)]
exc_file = self.pima.mk_exclude_obs_file(self.fri.non_detections())
split_params.extend(('EXCLUDE_OBS_FILE:', exc_file))
if source:
split_params.extend(('SPLT.SOU_NAME:', source))
else:
split_params.extend(('SPLT.SOU_NAME:', 'ALL'))
ap = self.pima.ap_minmax()[0]
if average > 0:
time_segments = round(average / ap)
else:
time_segments = 1
self.split_time_aver = time_segments * ap
self.pima.split(tim_mseg=time_segments, params=split_params)
def copy_uvfits(self, out_dir):
"""
Copy calibrated uv-fits files from pima scratch dir to out_dir.
"""
exper_dir = self.pima.cnt_params['EXPER_DIR:']
sess_code = self.pima.cnt_params['SESS_CODE:']
band = self.pima.cnt_params['BAND:']
polar = self.pima.cnt_params['POLAR:']
pima_fits_dir = os.path.join(exper_dir, sess_code + '_uvs')
sources = self.pima.source_list()
splt_sou_name = self.pima.cnt_params['SPLT.SOU_NAME:']
for source_names in sources:
if splt_sou_name != 'ALL' and splt_sou_name not in source_names:
continue
pima_fits_name = '{}_{}_uva.fits'.format(source_names[1], band)
pima_fits_path = os.path.join(pima_fits_dir, pima_fits_name)
if not os.path.isfile(pima_fits_path):
self._print_warn('UV-FITS "{}" does not exists.'.format(
pima_fits_path))
continue
# Use B1950 name for output directory
b1950_name = source_names[2]
# Fix source names
if b1950_name == 'OJ287':
b1950_name = '0851+202'
out_fits_dir = os.path.join(out_dir, b1950_name)
os.makedirs(out_fits_dir, exist_ok=True)
out_fits_name = \
'{}_{}_{}_{}_{:04d}s_uva.fits'.format(b1950_name,
self.exper,
self.band.upper(),
polar,
round(self.split_time_aver))
out_fits_path = os.path.join(out_fits_dir, out_fits_name)
self._print_info('Copy {} to {}'.format(pima_fits_path,
out_fits_path))
shutil.copy(pima_fits_path, out_fits_path)
# Run `fits_to_radplot` only for averaged uv-fits
if self.split_time_aver > 1:
pypima.pima.fits_to_txt(out_fits_path)
if self.run_id > 0:
with UVFits(out_fits_path) as uvfits_file:
self.db.uvfits2db(uvfits_file, b1950_name, self.run_id)
def fringes2db(self):
"""
Put fringe fitting information to the database.
"""
if self.run_id > 0 and self.fri:
self.db.fri2db(self.fri, self.pima.exper_info, self.run_id)
def delete_uvfits(self):
"""
Delete UV-FITS file.
"""
if os.path.isfile(self.uv_fits):
os.remove(self.uv_fits)
staging_dir = self.pima.cnt_params['STAGING_DIR:']
if os.path.isdir(staging_dir):
shutil.rmtree(staging_dir)
def generate_autospectra(self, plot=False, out_dir=None, db=False):
"""
Generate autospectrum for each station for each scan using ``acta``
PIMA task.
Parameters
----------
plot : bool
If ``True`` plot autospectra.
out_dir : str
Plot output directory.
"""
if not plot and not db: # Nothing to do
return
# Sometimes PIMA crashes on `acta` task
try:
file_list = self.pima.acta()
except pypima.pima.Error:
# Remove core dump file.
if os.path.isfile('core'):
os.remove('core')
return
utc_tai = timedelta(seconds=self.pima.exper_info['utc_minus_tai'])
polar = self.pima.cnt_params['POLAR:']
acta_file_list = [ActaFile(file_name, polar, utc_tai)
for file_name in file_list]
if plot:
plot_autospectra(acta_file_list, out_dir)
if db:
for acta_file in acta_file_list:
self.db.autospec2db(acta_file)
def main():
"""Main: cmd line arguments parsing"""
usage = "usage: %prog [-n] <exper> <band> [aver[,aver]]"
parser = OptionParser(usage=usage, version="%prog 0.1")
parser.set_defaults(noclosure=False)
parser.add_option('-n', '--no-closure', action="store_true",
dest='noclosure',
help='Refer aposteriori VLBI model to the subarray \
reference time')
parser.add_option("-o", "--pima_opts", action="store",
dest="pima_opts",
metavar='"KEY: VAL"',
default="",
help="Addtional pima options")
parser.add_option("-s", "--source", action="store",
dest="source",
metavar='source_name',
default='',
help='Source name (by default ALL)')
parser.add_option("-p", "--polar", action="store",
dest="polar",
metavar='POL',
default='',
help='Polarization')
parser.add_option('-r', '--reload', action='store_true',
dest='reload',
help='Force to run "pima load"')
opts, args = parser.parse_args()
if len(args) < 2:
parser.error("incorrect number of arguments")
exper = args[0].lower()
band = args[1].lower()
noclosure = opts.noclosure
pima_opts = opts.pima_opts.split()
source = opts.source
polar = opts.polar
reload = opts.reload
if len(pima_opts) % 2:
print('Error: The number of pima arguments should be even, but you \
specified {}'.format(len(pima_opts)))
return 1
exp_dir = os.getenv('pima_exp_dir')
work_dir = '{}/{}'.format(exp_dir, exper)
os.chdir(work_dir)
pima = Pima(exper, band, work_dir)
# Averaging in seconds. If None do not aver
aver_list = [0]
if len(args) == 3:
aver_list = args[2].split(',')
if reload:
try:
pima.load()
antab_file = '{}/{}{}.antab'.format(pima.work_dir, pima.exper,
pima.band)
pima.load_gains(antab_file)
pima.load_tsys(antab_file)
pima.coarse()
pima.bpas()
pima.fine()
except pypima.pima.Error as ex:
print('PIMA Error: {}'.format(ex))
return 1
for aver in aver_list:
pima_split(pima, float(aver), noclosure, source, polar, pima_opts)
return 0