rem stringlengths 1 322k | add stringlengths 0 2.05M | context stringlengths 4 228k | meta stringlengths 156 215 |
|---|---|---|---|
imageDictAQ[sngl.ifo]=fnmatch.filter(wikiFileFinder.get_analyzeQscan_SEIS(),\ "*%s-*_%s_*_SEI*_z_scat-unspecified-gpstime.png"\ %(sngl.ifo,timeString)) | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
if len(zValueFiles)>0: for zFile in zValueFiles: zValueDictAQ[sngl.ifo].extend(wikiFileFinder.__readZranks__(zFile)) tmpList=list() for chan in zValueDictAQ[sngl.ifo]: | for zFile in fnmatch.filter(filesAnalyze,\ "*_%s_%s_*.txt"%(sngl.ifo,timeString)): for chan in wikiFileFinder.__readSummary__(zFile): | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
tmpList.append(chan) zValueDictAQ[sngl.ifo]=tmpList else: sys.stdout.write("Analyze Qscan Z ranking file not found for %s. ...skipping...\n"%sngl.ifo) | zValueDictAQ[sngl.ifo].append(chan) if len(zValueDictAQ[sngl.ifo]) == 0: sys.stdout.write("AnalyzeQscan summary file not or empty for %s. ...continuing...\n"%sngl.ifo) | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
imageDict=dict() indexDict=dict() thumbDict=dict() zValueDict=dict() imageDictAQ=dict() indexDictAQ=dict() thumbDictAQ=dict() zValueDictAQ=dict() | imageDict,indexDict,thumbDict,zValueDict = dict(),dict(),dict(),dict() imageDictAQ,indexDictAQ,thumbDictAQ,zValueDictAQ = dict(),dict(),dict(),dict() | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
imageDict[sngl.ifo]=list() indexDict[sngl.ifo]=list() thumbDict[sngl.ifo]=list() for myFile in fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ | indexDict[sngl.ifo],imageDict[sngl.ifo],thumbDict[sngl.ifo],zValueDict[sngl.ifo]=list(),list(),list(),list() indexDictAQ[sngl.ifo],imageDictAQ[sngl.ifo],thumbDictAQ[sngl.ifo],zValueDictAQ[sngl.ifo]=list(),list(),list(),list() for myFile in fnmatch.filter(filesOmega,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ | for myFile in fnmatch.filter(filesOmega,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ | for myFile in fnmatch.filter(filesOmega,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
zValueFiles=fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ "*/%s_RDS_*/%s/*summary.txt"%(sngl.ifo,sngl.time)) | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
if len(zValueFiles)>0: for zFile in zValueFiles: zValueDict[sngl.ifo].extend(wikiFileFinder.__readSummary__(zFile)) tmpList=list() for chan in zValueDict[sngl.ifo]: | for zFile in fnmatch.filter(filesOmega,\ "*/%s_RDS_*/%s/*summary.txt"%(sngl.ifo,sngl.time)): for chan in wikiFileFinder.__readSummary__(zFile): | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
tmpList.append(chan) zValueDict[sngl.ifo]=tmpList else: sys.stdout.write("Omega scan summary file not for for %s. ...skipping...\n"%sngl.ifo) | zValueDict[sngl.ifo].append(chan) if len(zValueDict[sngl.ifo]) == 0: sys.stdout.write("Omega scan summary file not or empty for %s. ...continuing...\n"%sngl.ifo) | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
imageDictAQ[sngl.ifo]=list() indexDictAQ[sngl.ifo]=list() thumbDictAQ[sngl.ifo]=list() | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
for myFile in fnmatch.filter(wikiFileFinder.get_analyzeQscan_RDS(),\ "*%s-*_%s_*html"%(sngl.ifo,timeString)): indexDictAQ[sngl.ifo].append(myFile) zValueFiles=fnmatch.filter(wikiFileFinder.get_analyzeQscan_RDS(),\ "*%s-*_%s_*txt"%(sngl.ifo,timeString)) zValueDictAQ[sngl.ifo]=list() if len(zValueFiles)>0: for zFile in z... | for myFile in fnmatch.filter(filesAnalyze,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(wikiFileFinder.get_analyzeQscan_RDS(),\ | for myFile in fnmatch.filter(filesAnalyze,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
imageDict=dict() indexDict=dict() thumbDict=dict() zValueDict=dict() imageDictAQ=dict() indexDictAQ=dict() thumbDictAQ=dict() zValueDictAQ=dict() | imageDict,indexDict,thumbDict,zValueDict = dict(),dict(),dict(),dict() imageDictAQ,indexDictAQ,thumbDictAQ,zValueDictAQ = dict(),dict(),dict(),dict() | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
imageDict[sngl.ifo]=list() indexDict[sngl.ifo]=list() thumbDict[sngl.ifo]=list() for myFile in fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ | indexDict[sngl.ifo],imageDict[sngl.ifo],thumbDict[sngl.ifo],zValueDict[sngl.ifo]=list(),list(),list(),list() indexDictAQ[sngl.ifo],imageDictAQ[sngl.ifo],thumbDictAQ[sngl.ifo],zValueDictAQ[sngl.ifo]=list(),list(),list(),list() for myFile in fnmatch.filter(filesOmega,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ | for myFile in fnmatch.filter(filesOmega,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ | for myFile in fnmatch.filter(filesOmega,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
zValueFiles=fnmatch.filter(wikiFileFinder.get_RDS_R_L1(),\ "*/%s_RDS_*/%s/*summary.txt"%(sngl.ifo,sngl.time)) | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
if len(zValueFiles)>0: for zFile in zValueFiles: zValueDict[sngl.ifo].extend(wikiFileFinder.__readSummary__(zFile)) tmpList=list() for chan in zValueDict[sngl.ifo]: | for zFile in fnmatch.filter(filesOmega,\ "*/%s_RDS_*/%s/*summary.txt"%(sngl.ifo,sngl.time)): for chan in wikiFileFinder.__readSummary__(zFile): | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
tmpList.append(chan) zValueDict[sngl.ifo]=tmpList else: sys.stdout.write("Omega scan summary file not for for %s. ...skipping...\n"%sngl.ifo) | zValueDict[sngl.ifo].append(chan) if len(zValueDict[sngl.ifo]) == 0: sys.stdout.write("Omega scan summary file not or empty for %s. ...continuing...\n"%sngl.ifo) | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
imageDictAQ[sngl.ifo]=list() indexDictAQ[sngl.ifo]=list() thumbDictAQ[sngl.ifo]=list() | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
for myFile in fnmatch.filter(wikiFileFinder.get_analyzeQscan_RDS(),\ "*%s-*_%s_*html"%(sngl.ifo,timeString)): indexDictAQ[sngl.ifo].append(myFile) zValueFiles=fnmatch.filter(wikiFileFinder.get_analyzeQscan_RDS(),\ "*%s-*_%s_*txt"%(sngl.ifo,timeString)) zValueDictAQ[sngl.ifo]=list() if len(zValueFiles)>0: for zFile in... | for myFile in fnmatch.filter(filesAnalyze,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(wikiFileFinder.get_analyzeQscan_RDS(),\ | for myFile in fnmatch.filter(filesAnalyze,\ | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py |
for myFile in fnmatch.filter(filesAnalyze,\ "*%s-*_%s_*html"%(sngl.ifo,timeString)): indexDictAQ[sngl.ifo].append(myFile) zValueDictAQ[sngl.ifo]=list() for zFile in fnmatch.filter(filesAnalyze,\ "*%s-*_%s_*txt"%(sngl.ifo,timeString)): for chan in wikiFileFinder.__readSummary__(zFile): if not "PEM" in chan[0] or not "SE... | def prepareChecklist(wikiFilename=None,wikiCoinc=None,wikiTree=None,file2URL=None): """ Method to prepare a checklist where data products are isolated in directory. """ endOfS5=int(875232014) wikiFileFinder=findFileType(wikiTree,wikiCoinc) # Check to see if wiki file with name already exists maxCount=0 while os.path.ex... | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
sys.stdout.write("Available via browser at %s\n"%(mapFileURL.convert(myDestPath+"/"+myChecklistFilename))) | def __init__(self,type=None,ifo=None,time=None,snr=None,chisqr=None,mass1=None,mass2=None,mchirp=None): """ """ self.type=str(type) self.ifo=str(ifo) self.time=float(time) self.snr=float(snr) self.chisqr=float(chisqr) self.mass1=float(mass1) self.mass2=float(mass2) self.mchirp=float(mchirp) | fb84ac33aba836b8fcb61075cfaec34ced2846c0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/fb84ac33aba836b8fcb61075cfaec34ced2846c0/makeCheckListWiki.py | |
self.set_stdout_file(os.path.join(get_out_dir(config_parser), "lalapps_binj-$(macrochannelname)-$(macrogpsstarttime)-$(macrogpsendtime)-$(cluster)-$(process).out")) self.set_stderr_file(os.path.join(get_out_dir(config_parser), "lalapps_binj-$(macrochannelname)-$(macrogpsstarttime)-$(macrogpsendtime)-$(cluster)-$(proces... | self.set_stdout_file(os.path.join(get_out_dir(config_parser), "lalapps_binj-$(macrogpsstarttime)-$(macrogpsendtime)-$(cluster)-$(process).out")) self.set_stderr_file(os.path.join(get_out_dir(config_parser), "lalapps_binj-$(macrogpsstarttime)-$(macrogpsendtime)-$(cluster)-$(process).err")) | def __init__(self, config_parser): """ config_parser = ConfigParser object """ pipeline.CondorDAGJob.__init__(self, get_universe(config_parser), get_executable(config_parser, "lalapps_binj")) pipeline.AnalysisJob.__init__(self, config_parser) | 50c69909c4e1faeacd26be91c41f55b7e9f45214 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/50c69909c4e1faeacd26be91c41f55b7e9f45214/power.py |
lladdjob = pipeline.LigolwAddJob(get_out_dir(config_parser), config_parser) | lladdjob = pipeline.LigolwAddJob(os.path.join(get_out_dir(config_parser)), config_parser) | def init_job_types(config_parser, job_types = ("datafind", "rm", "binj", "power", "lladd", "binjfind", "bucluster", "bucut", "burca", "burca2", "sqlite", "burcatailor")): """ Construct definitions of the submit files. """ global datafindjob, rmjob, binjjob, powerjob, lladdjob, binjfindjob, buclusterjob, llb2mjob, bucut... | 50c69909c4e1faeacd26be91c41f55b7e9f45214 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/50c69909c4e1faeacd26be91c41f55b7e9f45214/power.py |
for cache_entry, parent in input_cache[:binjfindjob.files_per_binjfind]: | for parent in set(parent for cache_entry, parent in input_cache[:binjfindjob.files_per_binjfind]): | def make_binjfind_fragment(dag, parents, tag, verbose = False): input_cache = collect_output_caches(parents) nodes = set() while input_cache: node = BinjfindNode(binjfindjob) node.add_input_cache([cache_entry for (cache_entry, parent) in input_cache[:binjfindjob.files_per_binjfind]]) for cache_entry, parent in input_ca... | 50c69909c4e1faeacd26be91c41f55b7e9f45214 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/50c69909c4e1faeacd26be91c41f55b7e9f45214/power.py |
for cache_entry, parent in input_cache[:buclusterjob.files_per_bucluster]: | for parent in set(parent for cache_entry, parent in input_cache[:buclusterjob.files_per_bucluster]): | def make_bucluster_fragment(dag, parents, tag, verbose = False): input_cache = collect_output_caches(parents) nodes = set() while input_cache: node = BuclusterNode(buclusterjob) node.add_input_cache([cache_entry for (cache_entry, parent) in input_cache[:buclusterjob.files_per_bucluster]]) for cache_entry, parent in inp... | 50c69909c4e1faeacd26be91c41f55b7e9f45214 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/50c69909c4e1faeacd26be91c41f55b7e9f45214/power.py |
for cache_entry, parent in input_cache[:bucutjob.files_per_bucut]: | for parent in set(parent for cache_entry, parent in input_cache[:bucutjob.files_per_bucut]): | def make_bucut_fragment(dag, parents, tag, verbose = False): input_cache = collect_output_caches(parents) nodes = set() while input_cache: node = BucutNode(bucutjob) node.add_input_cache([cache_entry for (cache_entry, parent) in input_cache[:bucutjob.files_per_bucut]]) for cache_entry, parent in input_cache[:bucutjob.f... | 50c69909c4e1faeacd26be91c41f55b7e9f45214 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/50c69909c4e1faeacd26be91c41f55b7e9f45214/power.py |
for cache_entry, parent in input_cache[:burcajob.files_per_burca]: | for parent in set(parent for cache_entry, parent in input_cache[:burcajob.files_per_burca]): | def make_burca_fragment(dag, parents, tag, coincidence_segments = None, verbose = False): input_cache = collect_output_caches(parents) if coincidence_segments is not None: # doesn't sense to supply this keyword argument for # more than one input file assert len(input_cache) == 1 nodes = set() while input_cache: node = ... | 50c69909c4e1faeacd26be91c41f55b7e9f45214 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/50c69909c4e1faeacd26be91c41f55b7e9f45214/power.py |
self.add_var_arg(p_nodes[1].outputFileName) | self.add_var_arg(p_nodes[1].localFileName) | def __init__(self, dag, job, cp, opts, ifo, time, p_nodes=[], type=""): | 0dd7db9c761c4da65054f146ba3d6197159e10e0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/0dd7db9c761c4da65054f146ba3d6197159e10e0/stfu_pipe.py |
input_cache_file = p_nodes[0].outputFileName | input_cache_file = p_nodes[0].localFileName | def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | 0dd7db9c761c4da65054f146ba3d6197159e10e0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/0dd7db9c761c4da65054f146ba3d6197159e10e0/stfu_pipe.py |
if cp.has_option('fu-remote-jobs','remote-jobs') and job.name in cp.get('fu-remote-jobs','remote-jobs') and cp.has_option('fu-remote-jobs','remote-ifos') and ifo in cp.get('fu-remote-jobs','remote-ifos'): self.add_var_arg('--server ldr-bologna.phys.uwm.edu') else: self.add_var_arg('') | def __init__(self, dag, job, cp, opts, ifo, sngl=None, qscan=False, trigger_time=None, data_type="hoft", p_nodes=[]): | 0dd7db9c761c4da65054f146ba3d6197159e10e0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/0dd7db9c761c4da65054f146ba3d6197159e10e0/stfu_pipe.py | |
qCache = lalCache.rstrip("cache") + "qcache" self.set_post_script(os.getcwd()+"/cacheconv.sh %s %s" %(lalCache,qCache) ) | qCache = lalCache.rstrip("lcf") + "qcache" if cp.has_option('fu-remote-jobs','remote-jobs') and job.name in cp.get('fu-remote-jobs','remote-jobs') and cp.has_option('fu-remote-jobs','remote-ifos') and ifo in cp.get('fu-remote-jobs','remote-ifos'): self.add_var_arg('--server ldr-bologna.phys.uwm.edu') postScriptTest = ... | def setup_qscan(self, job, cp, time, ifo, data_type): # 1s is substracted to the expected startTime to make sure the window # will be large enough. This is to be sure to handle the rouding to the # next sample done by qscan. type, channel = figure_out_type(time,ifo,data_type) self.set_type(type) self.q_time = float(cp.... | 0dd7db9c761c4da65054f146ba3d6197159e10e0 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/0dd7db9c761c4da65054f146ba3d6197159e10e0/stfu_pipe.py |
def cbcBayesSkyRes(outdir,data,oneDMenu,twoDGreedyMenu,GreedyRes,confidence_levels,twoDplots,injfile=None,eventnum=None,skyres=None): if eventnum is not None and injfile is None: print "You specified an event number but no injection file. Ignoring!" if data is None: print 'You must specify an input data file' exit(1)... | 532bba63693fb6505b14f307e3be619e32c751e7 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/532bba63693fb6505b14f307e3be619e32c751e7/cbcBayesSkyRes.py | ||
if not os.path.isdir(os.path.join(margdir,'/')): os.mkdir(margdir) | if not os.path.isdir(margdir): os.makedirs(margdir) | def cbcBayesSkyRes(outdir,data,oneDMenu,twoDGreedyMenu,GreedyRes,confidence_levels,twoDplots,injfile=None,eventnum=None,skyres=None): if eventnum is not None and injfile is None: print "You specified an event number but no injection file. Ignoring!" if data is None: print 'You must specify an input data file' exit(1)... | 532bba63693fb6505b14f307e3be619e32c751e7 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/532bba63693fb6505b14f307e3be619e32c751e7/cbcBayesSkyRes.py |
def __init__(self, options): | def __init__(self, options, ifo_times = None, ifo_tag = None, user_tag = None,\ gps_start_time = None, gps_end_time = None): | def __init__(self, options): """ Initializes this class with the options. """ self.opts = options self.fname_list = [] self.tag_list = [] self.html_footer = "" | 26867df980409d90b09926971aca7cc8b88d4912 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/26867df980409d90b09926971aca7cc8b88d4912/InspiralUtils.py |
initialise(self.opts, os.path.basename(sys.argv[0])) def add_plot(self, plot_fig, text): """ Add a plot to the page """ | def initialize(self): """ Extract information from the option structure. Does NOT alter the information in the option structure """ if hasattr(self.opts, 'ifo_times'): self.ifo_times = self.opts.ifo_times else: self.ifo_times = None if hasattr(self.opts, 'ifo_tag'): self.ifo_tag = self.opts.ifo_tag else: self.ifo_t... | def __init__(self, options): """ Initializes this class with the options. """ self.opts = options self.fname_list = [] self.tag_list = [] self.html_footer = "" | 26867df980409d90b09926971aca7cc8b88d4912 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/26867df980409d90b09926971aca7cc8b88d4912/InspiralUtils.py |
fname = set_figure_name(self.opts, text) fname_thumb = savefig_pylal(fname, fig=plot_fig) self.fname_list.append(fname) self.tag_list.append(fname) def write_page(self): """ create the page | self.fname_list.append(filename) self.tag_list.append(filename) def savefig(self, filename_base, fig, doThumb=True, dpi = None, dpi_thumb=50): """ Function to create the image file. @param filename_base: basename of the filename (without the .png ending) @param fig: handle to the figure to save @param doThumb: save t... | def add_plot(self, plot_fig, text): """ Add a plot to the page """ fname = set_figure_name(self.opts, text) fname_thumb = savefig_pylal(fname, fig=plot_fig) self.fname_list.append(fname) self.tag_list.append(fname) | 26867df980409d90b09926971aca7cc8b88d4912 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/26867df980409d90b09926971aca7cc8b88d4912/InspiralUtils.py |
html_filename = write_html_output(self.opts, sys.argv[1:],\ self.fname_list, self.tag_list,\ comment=self.html_footer or None) write_cache_output(self.opts, html_filename, self.fname_list) | html_filename = self.create_htmlname(infix, cbcweb) self.write_html_output(html_filename, doThumb = doThumb, cbcweb = cbcweb, \ map_list = map_list, coinc_summ_table = coinc_summ_table,\ comment=self.html_footer or None) self.write_cache_output(html_filename) | def write_page(self): """ create the page """ if self.opts.enable_output: html_filename = write_html_output(self.opts, sys.argv[1:],\ self.fname_list, self.tag_list,\ comment=self.html_footer or None) write_cache_output(self.opts, html_filename, self.fname_list) return html_filename | 26867df980409d90b09926971aca7cc8b88d4912 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/26867df980409d90b09926971aca7cc8b88d4912/InspiralUtils.py |
def create_htmlname(self, infix, cbcweb): """ Create the html filename """ if infix: html_filename = self.prefix + '_'+ infix +self.suffix else: html_filename = self.prefix + self.suffix if cbcweb: html_filename += "_publish.html" else: html_filename += ".html" if self.output_path: html_filename = self.output_pa... | def write(self, text): """ Write some text to the standard output AND to the page. """ print text self.html_footer+=text+'<br>' | 26867df980409d90b09926971aca7cc8b88d4912 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/26867df980409d90b09926971aca7cc8b88d4912/InspiralUtils.py | |
while True: | while interval<len(np.asarray(toppoints)[:,3]): | def greedyBin1(par_samps,par_bin,confidence_levels,par_injvalue=None): oneDGreedyCL={} oneDGreedyInj={} parpos_min=min(par_samps) parpos_max=max(par_samps) par_point=parpos_min parpos_Nbins= int(ceil((parpos_max - parpos_min)/par_bin))+1 greedyPoints=np.zeros((parpos_Nbins,2)) #2D so it can be put through same con... | 4c900b2ee8a5c267927f38ce9a72bfc07bf15aad /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/4c900b2ee8a5c267927f38ce9a72bfc07bf15aad/bayespputils.py |
self.unused_coincs = reduce(lambda a, b: a | b, (set(component.get_coincs(eventlists, event_comparefunc, thresholds, verbose = verbose)) for component in self.components)) self.unused_coincs |= reduce(lambda a, b: a & b, (component.unused_coincs for component in self.components)) | for component in self.components: self.unused_coincs |= set(component.get_coincs(eventlists, event_comparefunc, thresholds, verbose = verbose)) for componenta, componentb in iterutils.choices(self.components, 2): self.unused_coincs |= componenta.unused_coincs & componentb.unused_coincs | def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | 2d741fcbea10b2206969b5e6bc2d7ea05359863e /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/2d741fcbea10b2206969b5e6bc2d7ea05359863e/snglcoinc.py |
connection.commit() | database.connection.commit() | def get_likelihood_ratio(coinc_event_id, time_slide_id, row_from_cols = database.sngl_burst_table.row_from_cols, cursor = database.connection.cursor(), offset_vectors = offset_vectors, params_func = params_func, params_func_extra_args = params_func_extra_args): events = map(row_from_cols, cursor.execute(""" | c3394a1cc9d5373b34d8069bec1220f00395cac6 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/c3394a1cc9d5373b34d8069bec1220f00395cac6/ligolw_burca2.py |
if param == 'channel-name': self.inputIfo = value[0:2] | def __init__(self, dag, job, cp, opts, sngl, frame_cache, chia, tag, p_nodes=[]): | 9c49faff5f4004ae9da3d54ff57be3091ee8174d /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/9c49faff5f4004ae9da3d54ff57be3091ee8174d/stfu_pipe.py | |
template = """ <profile namespace="condor" key="universe">%s</profile>\n""" xml = xml + template % (node.job().get_universe()) | if node.get_dax_collapse(): template = """ <profile namespace="condor" key="universe">vanilla</profile>\n""" xml = xml + template else: template = """ <profile namespace="condor" key="universe">%s</profile>\n""" xml = xml + template % (node.job().get_universe()) | def write_abstract_dag(self): """ Write all the nodes in the workflow to the DAX file. """ if not self.__dax_file_path: # this workflow is not dax-compatible, so don't write a dax return try: dagfile = open( self.__dax_file_path, 'w' ) except: raise CondorDAGError, "Cannot open file " + self.__dag_file_path | 255a08e876302f4eeb69caffc79bc50efc28a9bf /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/255a08e876302f4eeb69caffc79bc50efc28a9bf/pipeline.py |
f = open(opts.galaxy_priors_dir+'/'+str(int(mineffD))+'Mpc.pkl','r') | f = open(opts.galaxy_priors_dir+'/galaxy_prior_'+str(int(mineffD))+'Mpc.pkl','r') | def get_unique_filename(name): """ use this to avoid name collisions """ counter = 1 base_name, ext = os.path.splitext(name) while os.path.isfile(name): name = base_name + '_' + str(counter) + ext counter += 1 return name | db0d3b22ca11434c802156342f5b91128afe7bab /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/db0d3b22ca11434c802156342f5b91128afe7bab/run_skypoints.py |
def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): | def detector_thresholds(ifos, RA, dec, gps_time, sensitivities=None, min_threshold=4.5, max_threshold=7.5): | def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): """ Return a dictionary of sensitivity thresholds for each detector, based on a minimum threshold of min_threshold in the least sensitive one, for a source at position (RA,dec) specified in radians at time gps_time. Specifying a dictio... | 323638fdd5a246491641cf1f6c20df7c1ed90d57 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/323638fdd5a246491641cf1f6c20df7c1ed90d57/grbsummary.py |
return map(lambda (a,b,c): detector_thresholds(min_threshold,ifos,a,b,c,sensitivities), zip(RA,dec,gps_time)) | return map(lambda (a,b,c): detector_thresholds(ifos,a,b,c,sensitivities,min_threshold=min_threshold,max_threshold=max_threshold), zip(RA,dec,gps_time)) | def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): """ Return a dictionary of sensitivity thresholds for each detector, based on a minimum threshold of min_threshold in the least sensitive one, for a source at position (RA,dec) specified in radians at time gps_time. Specifying a dictio... | 323638fdd5a246491641cf1f6c20df7c1ed90d57 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/323638fdd5a246491641cf1f6c20df7c1ed90d57/grbsummary.py |
sensitivies[det]=1.0 | sensitivities[det]=1.0 | def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): """ Return a dictionary of sensitivity thresholds for each detector, based on a minimum threshold of min_threshold in the least sensitive one, for a source at position (RA,dec) specified in radians at time gps_time. Specifying a dictio... | 323638fdd5a246491641cf1f6c20df7c1ed90d57 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/323638fdd5a246491641cf1f6c20df7c1ed90d57/grbsummary.py |
assert len(ifos)==len(sensitivites) | assert len(ifos)==len(sensitivities) | def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): """ Return a dictionary of sensitivity thresholds for each detector, based on a minimum threshold of min_threshold in the least sensitive one, for a source at position (RA,dec) specified in radians at time gps_time. Specifying a dictio... | 323638fdd5a246491641cf1f6c20df7c1ed90d57 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/323638fdd5a246491641cf1f6c20df7c1ed90d57/grbsummary.py |
resps[det]=antenna.response(gps_time,RA,dec,0,0,'radians',det)[2] | resps[det]=antenna.response(gps_time,RA,dec,0,0,'radians',det)[2]*sensitivities[det] | def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): """ Return a dictionary of sensitivity thresholds for each detector, based on a minimum threshold of min_threshold in the least sensitive one, for a source at position (RA,dec) specified in radians at time gps_time. Specifying a dictio... | 323638fdd5a246491641cf1f6c20df7c1ed90d57 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/323638fdd5a246491641cf1f6c20df7c1ed90d57/grbsummary.py |
threshs[det]=min_threshold*(resps[det]/worst_resp)*sensitivities[det] | threshs[det]=min_threshold*(resps[det]/worst_resp) if threshs[det]>max_threshold: threshs[det]=max_threshold | def detector_thresholds(min_threshold, ifos, RA, dec, gps_time, sensitivities=None): """ Return a dictionary of sensitivity thresholds for each detector, based on a minimum threshold of min_threshold in the least sensitive one, for a source at position (RA,dec) specified in radians at time gps_time. Specifying a dictio... | 323638fdd5a246491641cf1f6c20df7c1ed90d57 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/323638fdd5a246491641cf1f6c20df7c1ed90d57/grbsummary.py |
self.add_var_opt('eventnum',str(event)) | self.add_var_arg('--eventnum '+str(event)) | def set_event_number(self,event): """ Set the event number in the injection XML. """ if event is not None: self.__event=int(event) self.add_var_opt('eventnum',str(event)) | 39a03794eb322cd5334a56b46a626b6bba298f6b /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/39a03794eb322cd5334a56b46a626b6bba298f6b/nest_utils.py |
if pt[3] <= dtrss_inj and pt[3] != 0.0: | if pt[3] <= dtrss_inj: | def get_unique_filename(name): """ use this to avoid name collisions """ counter = 1 base_name, ext = os.path.splitext(name) while os.path.isfile(base_name): base_name = base_name + '_' + str(counter) + ext counter += 1 return base_name + ext | 2a00d47cd7d083499540ce265f1c02a65c1002c5 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/2a00d47cd7d083499540ce265f1c02a65c1002c5/run_skypoints.py |
self.generations[n] = tuple(TimeSlideGraphNode(offset_vector) for offset_vector in ligolw_tisi.time_slide_component_vectors((node.offset_vector for node in self.head), n)) | self.generations[n] = tuple(TimeSlideGraphNode(offset_vector) for offset_vector in ligolw_tisi.time_slide_component_vectors((node.offset_vector for node in self.head if len(node.offset_vector) == n), n)) | def __init__(self, offset_vector_dict, verbose = False): if verbose: print >>sys.stderr, "constructing coincidence assembly graph for %d target offset vectors ..." % len(offset_vector_dict) | bfab42c01f1e0508c22c8926333d7f59d535fe1c /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/bfab42c01f1e0508c22c8926333d7f59d535fe1c/snglcoinc.py |
for component in node.components: component_name = vectorstring(component.offset_vector) print >>fileobj, "\t\"%s\" -> \"%s\";" % (component_name, node_name) | if node.components is not None: for component in node.components: print >>fileobj, "\t\"%s\" -> \"%s\";" % (vectorstring(component.offset_vector), node_name) | def write(self, fileobj): """ Write a DOT graph representation of the time slide graph to fileobj. """ vectorstring = lambda offset_vector: ",".join("%s=%g" % (instrument, offset) for instrument, offset in sorted(offset_vector.items())) | bfab42c01f1e0508c22c8926333d7f59d535fe1c /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/bfab42c01f1e0508c22c8926333d7f59d535fe1c/snglcoinc.py |
component_name = vectorstring(component.offset_vector) print >>fileobj, "\t\"%s\" -> \"%s\";" % (component_name, node_name) | print >>fileobj, "\t\"%s\" -> \"%s\";" % (vectorstring(component.offset_vector), node_name) | def write(self, fileobj): """ Write a DOT graph representation of the time slide graph to fileobj. """ vectorstring = lambda offset_vector: ",".join("%s=%g" % (instrument, offset) for instrument, offset in sorted(offset_vector.items())) | bfab42c01f1e0508c22c8926333d7f59d535fe1c /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/bfab42c01f1e0508c22c8926333d7f59d535fe1c/snglcoinc.py |
def __init__(self, xmldoc, b_b_def, sb_b_def, si_b_def, sb_c_e_def, sb_c_n_def, si_c_e_def, si_c_n_def, process): | def __init__(self, xmldoc, b_b_def, sb_b_def, si_b_def, sb_c_e_def, sb_c_n_def, si_c_e_def, si_c_n_def, process, livetime_program): | def __init__(self, xmldoc, b_b_def, sb_b_def, si_b_def, sb_c_e_def, sb_c_n_def, si_c_e_def, si_c_n_def, process): # # store the process row # | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
self.burst_peak_time_window = 6.378140e6 / 299792458 * 1.25 if len(self.snglbursttable): self.burst_peak_time_window += max(self.snglbursttable.getColumnByName("duration")) self.coinc_peak_time_window = self.burst_peak_time_window + SimBurstUtils.burst_is_near_injection_window def bursts_near_pe... | def bursts_near_peaktime(self, t, window): | def __init__(self, xmldoc, b_b_def, sb_b_def, si_b_def, sb_c_e_def, sb_c_n_def, si_c_e_def, si_c_n_def, process): # # store the process row # | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
within self.burst_peak_time_window of t. | within window seconds of t. This is not used to define any coincidences, only to provide a short list of burst events for use in more costly comparison tests. | def bursts_near_peaktime(self, t): """ Return a list of the burst events whose peak times are within self.burst_peak_time_window of t. """ return self.snglbursttable[bisect.bisect_left(self.snglbursttable, t - self.burst_peak_time_window):bisect.bisect_right(self.snglbursttable, t + self.burst_peak_time_window)] | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
return self.snglbursttable[bisect.bisect_left(self.snglbursttable, t - self.burst_peak_time_window):bisect.bisect_right(self.snglbursttable, t + self.burst_peak_time_window)] def coincs_near_peaktime(self, t): | return self.snglbursttable[bisect.bisect_left(self.snglbursttable, t - window):bisect.bisect_right(self.snglbursttable, t + window)] def coincs_near_peaktime(self, t, window): | def bursts_near_peaktime(self, t): """ Return a list of the burst events whose peak times are within self.burst_peak_time_window of t. """ return self.snglbursttable[bisect.bisect_left(self.snglbursttable, t - self.burst_peak_time_window):bisect.bisect_right(self.snglbursttable, t + self.burst_peak_time_window)] | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
which at least one burst event's peak time is within self.coinc_peak_time_window of t. | which at least one burst event's peak time is within window seconds of t. This is not used to define any coincidences, only to provide a short list of coinc events for use in more costly comparison tests. | def coincs_near_peaktime(self, t): """ Return a list of the (coinc_event_id, event list) tuples in which at least one burst event's peak time is within self.coinc_peak_time_window of t. """ # FIXME: this test does not consider the time slide # offsets that should be applied to the coinc, but for now # injections are d... | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
return [(coinc_event_id, events) for coinc_event_id, events in self.coincs if (t - self.coinc_peak_time_window <= events[-1].get_peak()) and (events[0].get_peak() <= t + self.coinc_peak_time_window)] | near_events = set(self.bursts_near_peaktime(t, window)) return [(coinc_event_id, events) for coinc_event_id, events in self.coincs if set(events) & near_events] | def coincs_near_peaktime(self, t): """ Return a list of the (coinc_event_id, event list) tuples in which at least one burst event's peak time is within self.coinc_peak_time_window of t. """ # FIXME: this test does not consider the time slide # offsets that should be applied to the coinc, but for now # injections are d... | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
Return False if the peak time of the injection sim lies within the time interval of burst. """ return SimBurstUtils.time_at_instrument(sim, burst.ifo) not in burst.get_period() | Return False (injection matches event) if an autocorrelation-width window centred on the injection is continuous with the time interval of the burst. """ tinj = SimBurstUtils.time_at_instrument(sim, burst.ifo) window = SimBurstUtils.stringcusp_autocorrelation_width / 2 return segments.segment(tinj - window, tinj + wind... | def StringCuspSnglCompare(sim, burst): """ Return False if the peak time of the injection sim lies within the time interval of burst. """ return SimBurstUtils.time_at_instrument(sim, burst.ifo) not in burst.get_period() | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
Return False if the peak time and centre frequency of sim lie within the time-frequency tile of burst. """ return StringCuspSnglCompare(sim, burst) or (sim.frequency not in burst.get_band()) | Return False (injection matches event) if the peak time and centre frequency of sim lie within the time-frequency tile of burst. """ return (SimBurstUtils.time_at_instrument(sim, burst.ifo) not in burst.get_period()) or (sim.frequency not in burst.get_band()) | def ExcessPowerSnglCompare(sim, burst): """ Return False if the peak time and centre frequency of sim lie within the time-frequency tile of burst. """ return StringCuspSnglCompare(sim, burst) or (sim.frequency not in burst.get_band()) | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
Return False if the peak time and centre frequency of sim lie within the time-frequency tile of burst. | Return False (injection matches event) if the time of the sim and the peak time of the burst event differ by less than or equal to delta_t seconds. | def OmegaSnglCompare(sim, burst, delta_t = 10.0): """ Return False if the peak time and centre frequency of sim lie within the time-frequency tile of burst. """ return abs(float(SimBurstUtils.time_at_instrument(sim, burst.ifo) - burst.get_peak())) > delta_t | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
Return False if the peak time of the sim is "near" the burst event. """ return OmegaNearCoincCompare(sim, burst) | Return False (injection matches coinc) if the peak time of the sim is "near" the burst event. """ tinj = SimBurstUtils.time_at_instrument(sim, burst.ifo) window = SimBurstUtils.stringcusp_autocorrelation_width / 2 + SimBurstUtils.burst_is_near_injection_window return segments.segment(tinj - window, tinj + window).disjo... | def StringCuspNearCoincCompare(sim, burst): """ Return False if the peak time of the sim is "near" the burst event. """ return OmegaNearCoincCompare(sim, burst) | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
Return False if the peak time of the sim is "near" the burst event. | Return False (injection matches coinc) if the peak time of the sim is "near" the burst event. | def ExcessPowerNearCoincCompare(sim, burst): """ Return False if the peak time of the sim is "near" the burst event. """ return not SimBurstUtils.burst_is_near_injection(sim, burst.start_time, burst.start_time_ns, burst.duration, burst.ifo) | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
Return False if the peak time of the sim is "near" the burst event. """ start_time = burst.get_peak() - burst.duration / 2.0 return not SimBurstUtils.burst_is_near_injection(sim, start_time.seconds, start_time.nanoseconds, burst.duration, burst.ifo) | Return False (injection matches coinc) if the peak time of the sim is "near" the burst event. """ return OmegaSnglCompare(sim, burst, delta_t = 20.0 + burst.duration / 2) | def OmegaNearCoincCompare(sim, burst): """ Return False if the peak time of the sim is "near" the burst event. """ start_time = burst.get_peak() - burst.duration / 2.0 return not SimBurstUtils.burst_is_near_injection(sim, start_time.seconds, start_time.nanoseconds, burst.duration, burst.ifo) | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
def find_sngl_burst_matches(contents, sim, comparefunc): """ Scan the burst table for triggers matching sim. """ return [burst for burst in contents.bursts_near_peaktime(sim.get_time_geocent()) if not comparefunc(sim, burst)] | def find_sngl_burst_matches(contents, sim, comparefunc, sieve_window): """ Scan the burst table for triggers matching sim. sieve_window is used in a bisection search to quickly identify burst events within that many seconds of the injection's peak time at the geocentre; it should be larger than the greatest time diffe... | def find_sngl_burst_matches(contents, sim, comparefunc): """ Scan the burst table for triggers matching sim. """ return [burst for burst in contents.bursts_near_peaktime(sim.get_time_geocent()) if not comparefunc(sim, burst)] | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
def find_exact_coinc_matches(coincs, sim, comparefunc): | def find_exact_coinc_matches(coincs, sim, comparefunc, seglists): | def find_exact_coinc_matches(coincs, sim, comparefunc): """ Return a list of the coinc_event_ids of the burst<-->burst coincs in which all burst events match sim. """ # FIXME: this test does not consider the time slide offsets that # should be applied to the coinc, but for now injections are done # at zero lag so this... | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
in which all burst events match sim. | in which all burst events match sim and to which all instruments on at the time of the sim contributed events. | def find_exact_coinc_matches(coincs, sim, comparefunc): """ Return a list of the coinc_event_ids of the burst<-->burst coincs in which all burst events match sim. """ # FIXME: this test does not consider the time slide offsets that # should be applied to the coinc, but for now injections are done # at zero lag so this... | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
return [coinc_event_id for coinc_event_id, events in coincs if True not in (bool(comparefunc(sim, event)) for event in events)] | on_instruments = SimBurstUtils.on_instruments(sim, seglists) return set(coinc_event_id for coinc_event_id, events in coincs if on_instruments.issubset(set(event.ifo for event in events)) and not any(comparefunc(sim, event) for event in events)) | def find_exact_coinc_matches(coincs, sim, comparefunc): """ Return a list of the coinc_event_ids of the burst<-->burst coincs in which all burst events match sim. """ # FIXME: this test does not consider the time slide offsets that # should be applied to the coinc, but for now injections are done # at zero lag so this... | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
return [coinc_event_id for coinc_event_id, events in coincs if False in (bool(comparefunc(sim, event)) for event in events)] | return set(coinc_event_id for coinc_event_id, events in coincs if not all(comparefunc(sim, event) for event in events)) | def find_near_coinc_matches(coincs, sim, comparefunc): """ Return a list of the coinc_event_ids of the burst<-->burst coincs in which at least one burst event matches sim. """ # FIXME: this test does not consider the time slide offsets that # should be applied to the coinc, but for now injections are done # at zero la... | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
process = process | process = process, livetime_program = { "StringCusp": "StringSearch", "excesspower": "lalapps_power", "omega": None }[search] | si_c_n_def = si_c_n_def, | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
events = find_sngl_burst_matches(contents, sim, snglcomparefunc) | events = find_sngl_burst_matches(contents, sim, snglcomparefunc, burst_peak_time_window) | si_c_n_def = si_c_n_def, | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
coincs = contents.coincs_near_peaktime(sim.get_time_geocent()) coinc_event_ids = find_exact_coinc_matches(coincs, sim, snglcomparefunc) if coinc_event_ids: add_sim_coinc_coinc(contents, sim, coinc_event_ids, contents.sb_c_e_coinc_def_id) coinc_event_ids = find_near_coinc_matches(coincs, sim, nearcoinccomparefunc) if co... | coincs = contents.coincs_near_peaktime(sim.get_time_geocent(), coinc_peak_time_window) exact_coinc_event_ids = find_exact_coinc_matches(coincs, sim, snglcomparefunc, contents.seglists) near_coinc_event_ids = find_near_coinc_matches(coincs, sim, nearcoinccomparefunc) assert exact_coinc_event_ids.issubset(near_coinc_even... | si_c_n_def = si_c_n_def, | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
events = find_sngl_burst_matches(contents, sim, snglcomparefunc) | events = find_sngl_burst_matches(contents, sim, snglcomparefunc, burst_peak_time_window) | si_c_n_def = si_c_n_def, | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
coincs = contents.coincs_near_peaktime(sim.get_time_geocent()) coinc_event_ids = find_exact_coinc_matches(coincs, sim, snglcomparefunc) if coinc_event_ids: add_sim_coinc_coinc(contents, sim, coinc_event_ids, contents.si_c_e_coinc_def_id) coinc_event_ids = find_near_coinc_matches(coincs, sim, nearcoinccomparefunc) if co... | coincs = contents.coincs_near_peaktime(sim.get_time_geocent(), coinc_peak_time_window) exact_coinc_event_ids = find_exact_coinc_matches(coincs, sim, snglcomparefunc, contents.seglists) near_coinc_event_ids = find_near_coinc_matches(coincs, sim, nearcoinccomparefunc) assert exact_coinc_event_ids.issubset(near_coinc_even... | si_c_n_def = si_c_n_def, | 1126ecd32ca491514cbed02a89dd809841dce610 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/1126ecd32ca491514cbed02a89dd809841dce610/ligolw_binjfind.py |
def init_job_types(config_parser, job_types = ("string", "meas_likelihoodjob", "calc_likelihood")): | runsqlitejob = None def init_job_types(config_parser, job_types = ("string", "meas_likelihoodjob", "calc_likelihood", "runsqlite")): | def compute_segment_lists(seglists, offset_vectors, min_segment_length, pad): # don't modify original seglists = seglists.copy() # ignore offset vectors referencing instruments we don't have offset_vectors = [offset_vector for offset_vector in offset_vectors if set(offset_vector.keys()).issubset(set(seglists.keys()))]... | e50861f46d5439c1c9fb86984403b1d72f14577f /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e50861f46d5439c1c9fb86984403b1d72f14577f/cosmicstring.py |
global stringjob, meas_likelihoodjob, calc_likelihoodjob | global stringjob, meas_likelihoodjob, calc_likelihoodjob, runsqlitejob | def init_job_types(config_parser, job_types = ("string", "meas_likelihoodjob", "calc_likelihood")): """ Construct definitions of the submit files. """ global stringjob, meas_likelihoodjob, calc_likelihoodjob # lalapps_StringSearch if "string" in job_types: stringjob = StringJob(config_parser) # lalapps_string_meas_li... | e50861f46d5439c1c9fb86984403b1d72f14577f /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e50861f46d5439c1c9fb86984403b1d72f14577f/cosmicstring.py |
this_input_cache = input_cache[:files_per_meas_likelihood] | node.add_input_cache([cache_entry for cache_entry, parent in input_cache[:files_per_meas_likelihood]]) for parent in set(parent for cache_entry, parent in input_cache[:files_per_meas_likelihood]): node.add_parent(parent) | def make_meas_likelihood_fragment(dag, parents, tag, files_per_meas_likelihood = None): if files_per_meas_likelihood is None: files_per_meas_likelihood = meas_likelihoodjob.files_per_meas_likelihood nodes = set() input_cache = power.collect_output_caches(parents) while input_cache: node = MeasLikelihoodNode(meas_likeli... | e50861f46d5439c1c9fb86984403b1d72f14577f /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e50861f46d5439c1c9fb86984403b1d72f14577f/cosmicstring.py |
for cache_entry, parent in this_input_cache: node.add_input_cache([cache_entry]) node.add_parent(parent) | def make_meas_likelihood_fragment(dag, parents, tag, files_per_meas_likelihood = None): if files_per_meas_likelihood is None: files_per_meas_likelihood = meas_likelihoodjob.files_per_meas_likelihood nodes = set() input_cache = power.collect_output_caches(parents) while input_cache: node = MeasLikelihoodNode(meas_likeli... | e50861f46d5439c1c9fb86984403b1d72f14577f /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e50861f46d5439c1c9fb86984403b1d72f14577f/cosmicstring.py | |
self.add_opt("use-expected-loudest-event",'') | self.add_var_opt("use-expected-loudest-event",'') | def __init__(self, job, database, output_cache = None, output_tag = "SEARCH_VOLUME", bootstrap_iterations=10000, veto_segments_name="vetoes", use_expected_loudest_event = False): """ @database: the pipedown database containing the injection triggers @ouptut_cache: name prefix for cache file to be written out by program... | 8ca530cf2f68eb9245eb8363686fe5ffc68f2c71 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/8ca530cf2f68eb9245eb8363686fe5ffc68f2c71/inspiral.py |
def test_and_add_hipe_arg(hipeCommand, hipe_arg): if config.has_option("hipe-arguments",hipe_arg): hipeCommand += "--" + hipe_arg + " " + \ config.get("hipe-arguments",hipe_arg) return(hipeCommand) | e8f48b40e140aec123aa6117426846119a139114 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e8f48b40e140aec123aa6117426846119a139114/inspiralutils.py | ||
inspiral_hipe_file = open(hipe_cache(ifos, usertag, \ hipecp.getint("input", "gps-start-time"), \ hipecp.getint("input", "gps-end-time")), "a") symlinkedCache.tofile(inspiral_hipe_file) inspiral_hipe_file.close() | def test_and_add_hipe_arg(hipeCommand, hipe_arg): if config.has_option("hipe-arguments",hipe_arg): hipeCommand += "--" + hipe_arg + " " + \ config.get("hipe-arguments",hipe_arg) return(hipeCommand) | e8f48b40e140aec123aa6117426846119a139114 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e8f48b40e140aec123aa6117426846119a139114/inspiralutils.py | |
hipeNode.add_output_file( hipe_cache(ifos, usertag, \ hipecp.getint("input", "gps-start-time"), \ hipecp.getint("input", "gps-end-time")) ) | hipeNode.add_output_file( hipe_cache(ifos, usertag, \ hipecp.getint("input", "gps-start-time"), \ hipecp.getint("input", "gps-end-time")) ) | def test_and_add_hipe_arg(hipeCommand, hipe_arg): if config.has_option("hipe-arguments",hipe_arg): hipeCommand += "--" + hipe_arg + " " + \ config.get("hipe-arguments",hipe_arg) return(hipeCommand) | e8f48b40e140aec123aa6117426846119a139114 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e8f48b40e140aec123aa6117426846119a139114/inspiralutils.py |
def get_input_from_cache(self, cache): """ Retrieves """ self.add_var_arg(filename) | def get_input_from_cache(self, cache): """ Retrieves """ self.add_var_arg(filename) | ed6e3aa8770dd63d9dcacc26cb05900bd6811348 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/ed6e3aa8770dd63d9dcacc26cb05900bd6811348/inspiral.py | |
self.__sim_type = None | self.__sim_tag = None | def __init__(self, job): """ @job: a PrintLCJob """ pipeline.SqliteNode.__init__(self, job) self.__extract_to_xml = None self.__extract_to_database = None self.__exclude_coincs = None self.__include_only_coincs = None self.__sim_type = None self.__output_format = None self.__columns = None | ed6e3aa8770dd63d9dcacc26cb05900bd6811348 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/ed6e3aa8770dd63d9dcacc26cb05900bd6811348/inspiral.py |
self._InspiralAnalysisNode__pad_data = 0 | self._AnalysisNode__pad_data = 0 | def __init__(self, options, cp, dir='', tag_base=''): """ """ self.__conditionalLoadDefaults__(followUpChiaJob.defaults,cp) #self.__prog__ = 'followUpChiaJob' self.__executable = string.strip(cp.get('condor','chia')) self.__universe = "standard" pipeline.CondorDAGJob.__init__(self,self.__universe,self.__executable) sel... | 5cd278030cc08a89b1d0bcd998efcca9eaef98bb /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/5cd278030cc08a89b1d0bcd998efcca9eaef98bb/stfu_pipe.py |
self._InspiralAnalysisNode__pad_data = int(value) | self._AnalysisNode__pad_data = int(value) | def __init__(self, dag, job, cp, opts, sngl, frame_cache, chia, tag, p_nodes=[]): | 5cd278030cc08a89b1d0bcd998efcca9eaef98bb /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/5cd278030cc08a89b1d0bcd998efcca9eaef98bb/stfu_pipe.py |
self._InspiralAnalysisNode__pad_data = 0 | self._AnalysisNode__pad_data = 0 | def __init__(self, dag, job, cp, opts, coinc, inspiral_node_dict, chia_node =None, p_nodes = []): | 5cd278030cc08a89b1d0bcd998efcca9eaef98bb /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/5cd278030cc08a89b1d0bcd998efcca9eaef98bb/stfu_pipe.py |
self.output_cache = lal.CacheEntry(ifonames, job.name.upper(), segments.segment(p_nodes[0].start_time,p_nodes[0].end_time), "file://localhost/"+job.output_path+"/"+self.id) | self.output_cache = lal.CacheEntry(ifonames, job.name.upper(), segments.segment(p_nodes[0].start_time,p_nodes[0].end_time), "file://localhost/"+job.outputPath+"/"+self.id) | def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | e2735459e1a533f96d8a2d672c9ebf5167e51138 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/e2735459e1a533f96d8a2d672c9ebf5167e51138/stfu_pipe.py |
zero_lag_time_slides = {} background_time_slides = {} for id, instrument, offset, is_background in connection.cursor().execute(""" | offset_vectors = {} for id, instrument, offset in connection.cursor().execute(""" | def get_time_slides(connection): """ Query the database for the IDs and offsets of all time slides, and return two dictionaries one containing the all-zero time slides and the other containing the not-all-zero time slides. """ zero_lag_time_slides = {} background_time_slides = {} for id, instrument, offset, is_backgrou... | f3c9333bc17cb8cd050d7f5171410146a69ae0d9 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/f3c9333bc17cb8cd050d7f5171410146a69ae0d9/SnglBurstUtils.py |
offset, EXISTS ( SELECT * FROM time_slide AS a WHERE a.time_slide_id == time_slide.time_slide_id AND a.offset != 0 ) | offset | def get_time_slides(connection): """ Query the database for the IDs and offsets of all time slides, and return two dictionaries one containing the all-zero time slides and the other containing the not-all-zero time slides. """ zero_lag_time_slides = {} background_time_slides = {} for id, instrument, offset, is_backgrou... | f3c9333bc17cb8cd050d7f5171410146a69ae0d9 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/f3c9333bc17cb8cd050d7f5171410146a69ae0d9/SnglBurstUtils.py |
if is_background: if id not in background_time_slides: background_time_slides[id] = {} background_time_slides[id][instrument] = offset else: if id not in zero_lag_time_slides: zero_lag_time_slides[id] = {} zero_lag_time_slides[id][instrument] = offset | if id not in offset_vectors: offset_vectors[id] = {} offset_vectors[id][instrument] = offset zero_lag_time_slides = dict((id, offset_vector) for id, offset_vector in offset_vectors.items() if not any(offset_vector.values())) background_time_slides = dict((id, offset_vector) for id, offset_vector in offset_vectors.items... | def get_time_slides(connection): """ Query the database for the IDs and offsets of all time slides, and return two dictionaries one containing the all-zero time slides and the other containing the not-all-zero time slides. """ zero_lag_time_slides = {} background_time_slides = {} for id, instrument, offset, is_backgrou... | f3c9333bc17cb8cd050d7f5171410146a69ae0d9 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/f3c9333bc17cb8cd050d7f5171410146a69ae0d9/SnglBurstUtils.py |
return r"%s \\times 10^{%d}" % (m, int(e)) | return r"%s \times 10^{%d}" % (m, int(e)) | def latexnumber(s): """ Convert a string of the form "d.dddde-dd" to "d.dddd \times 10^{-dd}" """ m, e = floatpattern.match(s).groups() return r"%s \\times 10^{%d}" % (m, int(e)) | f3c9333bc17cb8cd050d7f5171410146a69ae0d9 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/f3c9333bc17cb8cd050d7f5171410146a69ae0d9/SnglBurstUtils.py |
"a60dt60dD": "real_4", "a90dt90dD": "real_4", | "a60rank": "real_4", "a90rank": "real_4", | def get_coincs_from_coire(self,files,stat='snr'): """ uses CoincInspiralUtils to get data from old-style (coire'd) coincs """ coincTrigs = CoincInspiralUtils.coincInspiralTable() inspTrigs = SnglInspiralUtils.ReadSnglInspiralFromFiles(files, \ mangle_event_id = True,verbose=None) statistic = CoincInspiralUtils.coincSta... | 638b625f25ecf60716adb7235da0bc0e8d672439 /local1/tlutelli/issta_data/temp/all_python//python/2010_temp/2010/5758/638b625f25ecf60716adb7235da0bc0e8d672439/skylocutils.py |
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