'lalinference', 'fake-cache'):
from lalinference.tiger import make_injtimes
print 'TIGER: Generating science and veto segment files for real data'
if not (cp.has_option('input', 'gps-start-time')
and cp.has_option('input', 'gps-end-time')):
print "make_injtimes needs both gps start and end time"
sys.exit(1)
segfolder = os.path.join(basefolder, 'segments')
ensure_dir(segfolder)
curdir = os.getcwd()
os.chdir(segfolder)
vetoCats = ast.literal_eval(cp.get('segments', 'veto-categories'))
vetoDefFile = inspiralutils.downloadVetoDefFile(cp, True)
inspiralutils.generate_veto_cat_files(cp, vetoDefFile, True)
# Populate dictionary with veto filenames for each IFO and generate the veto segment files
veto_dic = {}
seg_dic = {}
# Download science segment files for each IFO
for IFO in ifos:
(seg_dic[IFO], veto_dic[IFO]) = inspiralutils.findSegmentsToAnalyze(
cp,
IFO,
vetoCats,
generate_segments=True,
use_available_data=False,
data_quality_vetoes=True)
analysisDirectory)
os.chdir(analysisDirectory)
os.chdir("segments")
# Determine which veto categories to filter
veto_categories = [int(cat) for cat in \
cp.get("segments", "veto-categories").split(",")]
if 1 not in veto_categories:
raise ValueError("The list of veto categories must include 1!")
veto_categories.sort()
# separate out non-CAT1 categories for some purposes
vetocats_without1 = [cat for cat in veto_categories if cat!=1]
# Download the veto definer xml file
vetoDefFile = inspiralutils.downloadVetoDefFile(cp, opts.generate_segments)
# Generate veto xml files for each ifo and for each category
inspiralutils.generate_veto_cat_files(cp, vetoDefFile, \
opts.generate_veto_segments)
# Generate a combined veto file for each ifo for use by pipedown
gps_start = int(opts.gps_start_time)
gps_end = int(opts.gps_end_time)
duration = gps_end - gps_start
dqVetoes = {}
dqVetoes["combined-veto-file"] = {}
for category in veto_categories:
ifos_string = ""
veto_cat_files = []
if injfile is None and gpstimefile is None and gid is None and not cp.has_option('lalinference', 'fake-cache'):
from lalinference.tiger import make_injtimes
print 'TIGER: Generating science and veto segment files for real data'
if not (cp.has_option('input','gps-start-time') and cp.has_option('input','gps-end-time')):
print "make_injtimes needs both gps start and end time"
sys.exit(1)
segfolder = os.path.join(basefolder, 'segments')
ensure_dir(segfolder)
curdir = os.getcwd()
os.chdir(segfolder)
vetoCats = ast.literal_eval(cp.get('segments', 'veto-categories'))
vetoDefFile = inspiralutils.downloadVetoDefFile(cp, True)
inspiralutils.generate_veto_cat_files(cp, vetoDefFile, True)
# Populate dictionary with veto filenames for each IFO and generate the veto segment files
veto_dic = {}
seg_dic = {}
# Download science segment files for each IFO
for IFO in ifos:
(seg_dic[IFO], veto_dic[IFO]) = inspiralutils.findSegmentsToAnalyze(cp, IFO, vetoCats, generate_segments=True, use_available_data=False, data_quality_vetoes=True)
# Feed science and veto segment files to make_injtimes and generate injection times and timeslides
print 'TIGER: Generating GPS times for unvetoed injections'
ensure_dir(os.path.join(basefolder, 'injtimes'))