bugged stringlengths 4 228k | fixed stringlengths 0 96.3M | __index_level_0__ int64 0 481k |
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def overwrite_config(self,config): for section in config.sections(): if not cp.has_section(section): cp.add_section(section) for option in config.options(section): cp.set(section,option,config.get(section,option)) | def overwrite_config(self,config,cp): for section in config.sections(): if not cp.has_section(section): cp.add_section(section) for option in config.options(section): cp.set(section,option,config.get(section,option)) | 471,600 |
def background_livetime_nonring_by_slide(connection, seglists, veto_segments=None, verbose = False): # get the segment lists and live time # FIXME veto segments not handled yet zero_lag_time_slides, background_time_slides = SnglBurstUtils.get_time_slides(connection) instruments = frozenset(seglists.keys()) background_l... | def background_livetime_nonring_by_slide(connection, seglists, veto_segments=None, verbose = False): # get the segment lists and live time # FIXME veto segments not handled yet zero_lag_time_slides, background_time_slides = SnglBurstUtils.get_time_slides(connection) instruments = frozenset(seglists.keys()) background_l... | 471,601 |
def background_livetime_ring_by_slide(connection, live_time_program, seglists, veto_segments, verbose = False): background_livetime = {} instruments = frozenset(seglists.keys()) offset_vectors = db_thinca_rings.get_background_offset_vectors(connection) # first work out time slide live time for on_instruments, livetimes... | def background_livetime_ring_by_slide(connection, live_time_program, seglists, veto_segments, verbose = False): background_livetime = {} instruments = frozenset(seglists.keys()) offset_vectors = db_thinca_rings.get_background_offset_vectors(connection) # first work out time slide live time for on_instruments, livetimes... | 471,602 |
def playground_nonplayground_livetime(seglists, playground_segs=None, verbose=False): playground_livetime = {} nonplayground_livetime = {} instruments = frozenset(seglists.keys()) for on_inst, off_inst in detector_combos(list(instruments)): on_inst = frozenset(on_inst) off_inst = frozenset(off_inst) key = lsctables.ifo... | def playground_nonplayground_livetime(seglists, playground_segs=None, verbose=False): playground_livetime = {} nonplayground_livetime = {} instruments = frozenset(seglists.keys()) for on_inst, off_inst in detector_combos(list(instruments)): on_inst = frozenset(on_inst) off_inst = frozenset(off_inst) key = lsctables.ifo... | 471,603 |
def get_veto_segments(connection, program_name, veto_segments_name=None): veto_segments = segments.segmentlistdict() #FIXME only handles thinca case if not veto_segments_name: return veto_segments if program_name == "thinca": veto_segments = db_thinca_rings.get_veto_segments(connection, veto_segments_name) return veto_... | def get_veto_segments(connection, program_name, veto_segments_name=None): veto_segments = segments.segmentlistdict() #FIXME only handles thinca case if not veto_segments_name: return veto_segments if program_name == "thinca": veto_segments = db_thinca_rings.get_veto_segments(connection, veto_segments_name) return veto_... | 471,604 |
def get_segments(connection, xmldoc, program_name): seglists = segments.segmentlistdict() if program_name == "thinca": seglists = db_thinca_rings.get_thinca_zero_lag_segments(connection, program_name) if program_name == "gstlal_inspiral": seglists = llwapp.segmentlistdict_fromsearchsummary(xmldoc, program_name).coalesc... | def get_segments(connection, xmldoc, program_name): seglists = segments.segmentlistdict() if program_name == "thinca": seglists = db_thinca_rings.get_thinca_zero_lag_segments(connection, program_name) if program_name == "gstlal_inspiral": seglists = llwapp.segmentlistdict_fromsearchsummary(xmldoc, program_name).coalesc... | 471,605 |
def get_segments(connection, xmldoc, program_name): seglists = segments.segmentlistdict() if program_name == "thinca": seglists = db_thinca_rings.get_thinca_zero_lag_segments(connection, program_name) if program_name == "gstlal_inspiral" or program_name == "lalapps_ring": seglists = llwapp.segmentlistdict_fromsearchsum... | def get_segments(connection, xmldoc, program_name): seglists = segments.segmentlistdict() if program_name == "thinca": seglists = db_thinca_rings.get_thinca_zero_lag_segments(connection, program_name) if program_name == "gstlal_inspiral" or program_name == "lalapps_ring": seglists = llwapp.segmentlistdict_fromsearchsum... | 471,606 |
def get_background_livetime_by_slide(connection, program_name, seglists, veto_segments=None, verbose = False): if program_name == "thinca": return background_livetime_ring_by_slide(connection, program_name, seglists, veto_segments, verbose) if program_name == "gstlal_inspiral": return background_livetime_nonring_by_s... | def get_background_livetime_by_slide(connection, program_name, seglists, veto_segments=None, verbose = False): if program_name == "thinca": return background_livetime_ring_by_slide(connection, program_name, seglists, veto_segments, verbose) if program_name == "gstlal_inspiral": return background_livetime_nonring_by_s... | 471,607 |
def scatterPointer(A=None,B=None): """ Expects two ordered pairs as tuples (x1,y1) and (x2,y2)... Then this defines an angle. From this angle we orient a triangle point and return this as a tuple of requested size. This can be plotted by the scatter plot to point in a particular orientation. The direction right(0,0)->... | def scatterPointer(A=None,B=None): """ Expects two ordered pairs as tuples (x1,y1) and (x2,y2)... Then this defines an angle. From this angle we orient a triangle point and return this as a tuple of requested size. This can be plotted by the scatter plot to point in a particular orientation. The direction right(0,0)->... | 471,608 |
def scatterPointer(A=None,B=None): """ Expects two ordered pairs as tuples (x1,y1) and (x2,y2)... Then this defines an angle. From this angle we orient a triangle point and return this as a tuple of requested size. This can be plotted by the scatter plot to point in a particular orientation. The direction right(0,0)->... | def scatterPointer(A=None,B=None): """ Expects two ordered pairs as tuples (x1,y1) and (x2,y2)... Then this defines an angle. From this angle we orient a triangle point and return this as a tuple of requested size. This can be plotted by the scatter plot to point in a particular orientation. The direction right(0,0)->... | 471,609 |
def getQscanTable(opts,type): summary = readSummaryFiles() if "FG" in type: type_string = "foreground" elif "BG" in type: type_string = "background" if eval("opts.qscan_cache_" + type_string): qscanList = stfu_pipe.getParamsFromCache(eval("opts.qscan_cache_" + type_string),type) else: try: inputPath = eval("opts." +... | def getQscanTable(opts,type): summary = readSummaryFiles() if "FG" in type: type_string = "foreground" elif "BG" in type: type_string = "background" if eval("opts.qscan_cache_" + type_string): qscanList = getParamsFromCache(eval("opts.qscan_cache_" + type_string),type) else: try: inputPath = eval("opts." + type_stri... | 471,610 |
def plotHistogram(chan,opts,distribution,histoList,binList,percentiles=None,candidate=None,candidateRank=None): parameter = distribution.split('-')[0] step = binList[1] - binList[0] counter = sum(histoList) xlimInf = min(binList) if candidate and not parameter == 'dt': xlimSup = max(max(binList),candidate + 2.0) els... | def plotHistogram(chan,opts,distribution,histoList,binList,percentiles=None,candidate=None,candidateRank=None): parameter = distribution.split('-')[0] step = binList[1] - binList[0] counter = sum(histoList) xlimInf = min(binList) if candidate and not parameter == 'dt': xlimSup = max(max(binList),candidate + 2.0) els... | 471,611 |
def figure_out_cache(time,ifo): cacheList=( (home_dirs()+"/romain/followupbackgrounds/omega/S5/background/background_815155213_875232014.cache",815155213,875232014,"H1H2L1"), (home_dirs()+"/romain/followupbackgrounds/omega/S6a/background/background_931035296_935798415.cache",931035296,935798415,"H1L1"), (home_dirs()+"... | def figure_out_cache(time,ifo): cacheList=( (home_dirs()+"/romain/followupbackgrounds/omega/S5/background/background_815155213_875232014.cache",815155213,875232014,"H1H2L1"), (home_dirs()+"/romain/followupbackgrounds/omega/S6a/background/background_931035296_935798415.cache",931035296,935798415,"H1L1"), (home_dirs()+"... | 471,612 |
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... | 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... | 471,613 |
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... | 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... | 471,614 |
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... | 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... | 471,615 |
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... | 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... | 471,616 |
def __init__(self, dag, job, cp, opts, sngl, frame_cache, chia, tag, p_nodes=[]): | def __init__(self, dag, job, cp, opts, sngl, frame_cache, chia, tag, p_nodes=[]): | 471,617 |
def getSciSegs(ifo=None, gpsStart=None, gpsStop=None, cut=bool(False), serverURL=None, segName="DMT-SCIENCE", seglenmin=None, segpading=0 | def getSciSegs(ifo=None, gpsStart=None, gpsStop=None, cut=bool(False), serverURL=None, segName="DMT-SCIENCE", seglenmin=None, segpading=0 | 471,618 |
def figure_out_site(ifo): siteDico = {"H1":"LHO","H2":"LHO","L1":"LLO","V1":"Virgo"} if ifo in siteDico: return siteDico[ifo] else: print >> sys.stderr, "ifo " + ifo + "is not defined in siteDico dictionary" sys.exit(1) | 471,619 | |
def __init__(self, dag, job, cp, opts, time, ifo, frame_cache, p_nodes=[], type="ht", variety="fg"): """ """ pipeline.CondorDAGNode.__init__(self,job) | def __init__(self, dag, job, cp, opts, time, ifo, frame_cache, p_nodes=[], type="ht", variety="fg"): """ """ pipeline.CondorDAGNode.__init__(self,job) | 471,620 |
def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | 471,621 |
def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | 471,622 |
def getSciSegs(ifo=None, gpsStart=None, gpsStop=None, cut=bool(False), serverURL=None, segName="DMT-SCIENCE", seglenmin=None, segpading=0 | def getSciSegs(ifo=None, gpsStart=None, gpsStop=None, cut=bool(False), serverURL=None, segName="DMT-SCIENCE", seglenmin=None, segpading=0 | 471,623 |
def getSciSegs(ifo=None, gpsStart=None, gpsStop=None, cut=bool(False), serverURL=None, segName="DMT-SCIENCE", seglenmin=None, segpading=0 | def getSciSegs(ifo=None, gpsStart=None, gpsStop=None, cut=bool(False), serverURL=None, segName="DMT-SCIENCE", seglenmin=None, segpading=0 | 471,624 |
def __init__(self,fStructure=None,myCoinc=None): if fStructure==None or myCoinc==None: print "Given None Types FS:%s Coinc:%s"%(type(fStructure),type(myCoinc)) return None else: self.fsys=fStructure self.coinc=myCoinc | def __init__(self,fStructure=None,myCoinc=None): if fStructure==None or myCoinc==None: print "Given None Types FS:%s Coinc:%s"%(type(fStructure),type(myCoinc)) return None else: self.fsys=fStructure self.coinc=myCoinc | 471,625 |
def get_RDS_R_L1(self): """ """ tmpList=list() for sngl in self.coinc.sngls: #Determine file type frametype,channelName=stfu_pipe.figure_out_type(sngl.time,sngl.ifo,'rds') if not sngl.ifo in frametype: frametype = sngl.ifo + "_" + frametype myMaskIndex="*/%s/*/%s/index.html"%(frametype,sngl.time) myMaskPNG="*/%s/*/%s/*... | def get_RDS_R_L1(self): """ """ tmpList=list() for sngl in self.coinc.sngls: #Determine file type frametype,channelName=stfu_pipe.figure_out_type(sngl.time,sngl.ifo,'rds') frametype=__patchFrameTypeDef__(frametype,sngl.ifo,sngl.time) myMaskIndex="*/%s/*/%s/index.html"%(frametype,sngl.time) myMaskPNG="*/%s/*/%s/*.png"%... | 471,626 |
def get_RDS_R_L1_SEIS(self): """ """ tmpList=list() for sngl in self.coinc.sngls: #Determine file type frametype,channelName=stfu_pipe.figure_out_type(sngl.time,sngl.ifo,'rds') if not sngl.ifo in frametype: frametype = sngl.ifo + "_" + frametype frametype = frametype + "_SEIS" myMaskIndex="*/%s*/%s/*.html"%(frametype,s... | def get_RDS_R_L1_SEIS(self): """ """ tmpList=list() for sngl in self.coinc.sngls: #Determine file type frametype,channelName=stfu_pipe.figure_out_type(sngl.time,sngl.ifo,'rds') frametype=__patchFrameTypeDef__(frametype,sngl.ifo,sngl.time) frametype = frametype + "_SEIS" myMaskIndex="*/%s*/%s/*.html"%(frametype,sngl.ti... | 471,627 |
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... | 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... | 471,628 |
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... | 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... | 471,629 |
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... | 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... | 471,630 |
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... | 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... | 471,631 |
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... | 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... | 471,632 |
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... | 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... | 471,633 |
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... | 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... | 471,634 |
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) | 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) | 471,635 |
def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | 471,636 |
def __init__(self, dag, job, cp, opts, coincEvent=None): """ """ self.__conditionalLoadDefaults__(findVetosNode.defaults,cp) pipeline.CondorDAGNode.__init__(self,job) self.add_var_opt("trigger-time",coincEvent.time) #Output filename oFilename="%s-findVetos_%s_%s.wiki"%(coincEvent.instruments, coincEvent.ifos, coincEven... | def __init__(self, dag, job, cp, opts, coincEvent=None): """ """ self.__conditionalLoadDefaults__(findVetosNode.defaults,cp) pipeline.CondorDAGNode.__init__(self,job) self.add_var_opt("trigger-time",coincEvent.time) #Output filename oFilename="%s-findVetos_%s_%s.wiki"%(coincEvent.instruments, coincEvent.ifos, coincEven... | 471,637 |
def __readCache__(self,cacheListing=list()): """ Simple mehtod to read in a cache or list of cache files and return a list of files or an empty list if nothing found """ #Open the cache entry and search for those entrys fileListing=list() for entry in cacheListing: #Cache files listed themselves comment out following l... | def __readCache__(self,cacheListing=list()): """ Simple mehtod to read in a cache or list of cache files and return a list of files or an empty list if nothing found. It uses the pathing information from the files passed via cacheListing to aid in our filesystem search. """ #Open the cache entry and search for those en... | 471,638 |
def __readCache__(self,cacheListing=list()): """ Simple mehtod to read in a cache or list of cache files and return a list of files or an empty list if nothing found """ #Open the cache entry and search for those entrys fileListing=list() for entry in cacheListing: #Cache files listed themselves comment out following l... | def __readCache__(self,cacheListing=list()): """ Simple mehtod to read in a cache or list of cache files and return a list of files or an empty list if nothing found """ #Open the cache entry and search for those entrys finalList=list() for entry in cacheListing: #Cache files listed themselves comment out following lin... | 471,639 |
def __readCache__(self,cacheListing=list()): """ Simple mehtod to read in a cache or list of cache files and return a list of files or an empty list if nothing found """ #Open the cache entry and search for those entrys fileListing=list() for entry in cacheListing: #Cache files listed themselves comment out following l... | def __readCache__(self,cacheListing=list()): """ Simple mehtod to read in a cache or list of cache files and return a list of files or an empty list if nothing found """ #Open the cache entry and search for those entrys fileListing=list() for entry in cacheListing: #Cache files listed themselves comment out following l... | 471,640 |
def get_analyzeQscan_SEIS(self): """ This seeks out the html and png files associated with SEIS result of an analyzeQscan job. """ cacheList=list() cacheFiles=list() for sngl in self.coinc.sngls: timeString=str(float(sngl.time)).replace(".","_") myCacheMask="*/%s-analyseQscan_%s_%s*_seis_rds*.cache"%(sngl.ifo,sngl.ifo,... | def get_analyzeQscan_SEIS(self): """ This seeks out the html and png files associated with SEIS result of an analyzeQscan job. """ cacheList=list() cacheFiles=list() for sngl in self.coinc.sngls: timeString=str(float(sngl.time)).replace(".","_") myCacheMask="*%s*/%s-analyseQscan_%s_%s*_seis_rds*.cache"%\ (self.coinc.ty... | 471,641 |
def get_analyzeQscan_RDS(self): """ """ #analyseQscan.py_FG_RDS_full_data/H1-analyseQscan_H1_931176926_116_rds-unspecified-gpstime.cache cacheList=list() cacheFiles=list() for sngl in self.coinc.sngls: timeString=str(float(sngl.time)).replace(".","_") myCacheMask="*/%s-analyseQscan_%s_%s_rds*.cache"%(sngl.ifo,sngl.ifo,... | def get_analyzeQscan_RDS(self): """ """ #analyseQscan.py_FG_RDS_full_data/H1-analyseQscan_H1_931176926_116_rds-unspecified-gpstime.cache cacheList=list() cacheFiles=list() for sngl in self.coinc.sngls: timeString=str(float(sngl.time)).replace(".","_") myCacheMask="*%s*/%s-analyseQscan_%s_%s_rds*.cache"%\ (self.coint.ty... | 471,642 |
def get_analyzeQscan_HT(self): """ """ #analyseQscan.py_FG_HT_full_data/H1-analyseQscan_H1_931176926_116_ht-unspecified-gpstime.cache cacheList=list() cacheFiles=list() for sngl in self.coinc.sngls: timeString=str(float(sngl.time)).replace(".","_") myCacheMask="*/%s-analyseQscan_%s_%s*_ht*.cache"%(sngl.ifo,sngl.ifo,tim... | def get_analyzeQscan_HT(self): """ """ #analyseQscan.py_FG_HT_full_data/H1-analyseQscan_H1_931176926_116_ht-unspecified-gpstime.cache cacheList=list() cacheFiles=list() for sngl in self.coinc.sngls: timeString=str(float(sngl.time)).replace(".","_") myCacheMask="*%s*/%s-analyseQscan_%s_%s*_ht*.cache"\ %(self.coinc.type,... | 471,643 |
def insertAnalyzeQscanTable(self, images=None, thumbs=None, indexes=None, ranksOmega=None, imagesAQ=None, thumbsAQ=None, indexesAQ=None, ranksAQ=None): """ Insert a multiple IFO table with 5 cols with the AQ underneath this depends on the numer of IFO keys in indexes dictionary. The option channelRanks is not required ... | def insertAnalyzeQscanTable(self, images=None, thumbs=None, indexes=None, ranksOmega=None, imagesAQ=None, thumbsAQ=None, indexesAQ=None, ranksAQ=None): """ Insert a multiple IFO table with 5 cols with the AQ underneath this depends on the numer of IFO keys in indexes dictionary. The option channelRanks is not required ... | 471,644 |
def cbcBayesPostProc(outdir,data,oneDMenu,twoDGreedyMenu,GreedyRes,confidence_levels,twoDplots,injfile=None,eventnum=None,skyres=None,bayesfactornoise=None,bayesfactorcoherent=None): """ This is a demonstration script for using the functionality/data structures contained in pylal.bayespputils . It will produce a webpag... | def cbcBayesPostProc(outdir,data,oneDMenu,twoDGreedyMenu,GreedyRes,confidence_levels,twoDplots,injfile=None,eventnum=None,skyres=None,bayesfactornoise=None,bayesfactorcoherent=None): """ This is a demonstration script for using the functionality/data structures contained in pylal.bayespputils . It will produce a webpag... | 471,645 |
def plotSkyMap(skypos,skyres,sky_injpoint,confidence_levels,outdir): from mpl_toolkits.basemap import Basemap from pylal import skylocutils np.seterr(under='ignore') skypoints=np.array(skylocutils.gridsky(float(skyres))) skycarts=map(lambda s: pol2cart(s[1],s[0]),skypoints) skyinjectionconfidence=None shist=skyhist... | def plotSkyMap(skypos,skyres,sky_injpoint,confidence_levels,outdir): from mpl_toolkits.basemap import Basemap from pylal import skylocutils np.seterr(under='ignore') skypoints=np.array(skylocutils.gridsky(float(skyres))) skycarts=map(lambda s: pol2cart(s[1],s[0]),skypoints) skyinjectionconfidence=None shist=skyhist... | 471,646 |
def __init__(self, dag, job, cp, opts, ifo, time, p_nodes=[], type=""): | def __init__(self, dag, job, cp, opts, ifo, time, p_nodes=[], type=""): | 471,647 |
def __init__(self, dag, job, cp, opts, ifo, sngl=None, qscan=False, trigger_time=None, data_type="hoft", p_nodes=[]): | def __init__(self, dag, job, cp, opts, ifo, sngl=None, qscan=False, trigger_time=None, data_type="hoft", p_nodes=[]): | 471,648 |
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... | 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... | 471,649 |
def ligolw_burca2(database, likelihood_ratio, params_func, verbose = False, params_func_extra_args = ()): """ Assigns likelihood ratio values to excess power coincidences. database is pylal.SnglBurstUtils.CoincDatabase instance, and likelihood_ratio is a LikelihoodRatio class instance. """ # # Find document parts. # t... | def ligolw_burca2(database, likelihood_ratio, params_func, verbose = False, params_func_extra_args = ()): """ Assigns likelihood ratio values to excess power coincidences. database is pylal.SnglBurstUtils.CoincDatabase instance, and likelihood_ratio is a LikelihoodRatio class instance. """ # # Find document parts. # t... | 471,650 |
def ligolw_burca2(database, likelihood_ratio, params_func, verbose = False, params_func_extra_args = ()): """ Assigns likelihood ratio values to excess power coincidences. database is pylal.SnglBurstUtils.CoincDatabase instance, and likelihood_ratio is a LikelihoodRatio class instance. """ # # Find document parts. # t... | def ligolw_burca2(database, likelihood_ratio, params_func, verbose = False, params_func_extra_args = ()): """ Assigns likelihood ratio values to excess power coincidences. database is pylal.SnglBurstUtils.CoincDatabase instance, and likelihood_ratio is a LikelihoodRatio class instance. """ # # Find document parts. # t... | 471,651 |
def ligolw_burca2(database, likelihood_ratio, params_func, verbose = False, params_func_extra_args = ()): """ Assigns likelihood ratio values to excess power coincidences. database is pylal.SnglBurstUtils.CoincDatabase instance, and likelihood_ratio is a LikelihoodRatio class instance. """ # # Find document parts. # t... | def ligolw_burca2(database, likelihood_ratio, params_func, verbose = False, params_func_extra_args = ()): """ Assigns likelihood ratio values to excess power coincidences. database is pylal.SnglBurstUtils.CoincDatabase instance, and likelihood_ratio is a LikelihoodRatio class instance. """ # # Find document parts. # t... | 471,652 |
def run(self): # remove the automatically generated user env scripts for script in ["pylal-user-env.sh", "pylal-user-env.csh"]: log.info("removing " + script ) try: os.unlink(os.path.join("etc", script)) except: pass | def run(self): # remove the automatically generated user env scripts for script in ["pylal-user-env.sh", "pylal-user-env.csh"]: log.info("removing " + script ) try: os.unlink(os.path.join("etc", script)) except: pass | 471,653 |
def split_bins(cafepacker, extentlimit): """ Split bins of stored in CafePacker until each bin has an extent no longer than extentlimit. """ # # loop overall the bins in cafepacker.bins. we pop items out of # cafepacker.bins and append new ones to the end so need a while loop # checking the extent of each bin in cafep... | def split_bins(cafepacker, extentlimit): """ Split bins of stored in CafePacker until each bin has an extent no longer than extentlimit. """ # # loop overall the bins in cafepacker.bins. we pop items out of # cafepacker.bins and append new ones to the end so need a while loop # checking the extent of each bin in cafep... | 471,654 |
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)... | 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) # i... | 471,655 |
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)... | 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)... | 471,656 |
def get_exttrig_trials(on_segs, off_segs, veto_files): """ Return a tuple of (off-source time bins, off-source veto mask, index of trial that is on source). The off-source veto mask is a one-dimensional boolean array where True means vetoed. @param on_segs: On-source segments @param off_segs: Off-source segments @param... | def get_exttrig_trials(on_segs, off_segs, veto_files): """ Return a tuple of (off-source time bins, off-source veto mask, index of trial that is on source). The off-source veto mask is a one-dimensional boolean array where True means vetoed. @param on_segs: On-source segments @param off_segs: Off-source segments @param... | 471,657 |
def plot2Dkernel(xdat,ydat,Nx,Ny): xax=linspace(min(xdat),max(xdat),Nx) yax=linspace(min(ydat),max(ydat),Ny) x,y=numpy.meshgrid(xax,yax) samp=array([xdat,ydat]) kde=stats.kde.gaussian_kde(samp) grid_coords = numpy.append(x.reshape(-1,1),y.reshape(-1,1),axis=1) z = kde(grid_coords.T) z = z.reshape(Nx,Ny) asp=xax.ptp()/y... | def plot2Dkernel(xdat,ydat,Nx,Ny): xax=linspace(min(xdat),max(xdat),Nx) yax=linspace(min(ydat),max(ydat),Ny) x,y=numpy.meshgrid(xax,yax) samp=array([xdat,ydat]) kde=stats.kde.gaussian_kde(samp) grid_coords = numpy.append(x.reshape(-1,1),y.reshape(-1,1),axis=1) z = kde(grid_coords.T) z = z.reshape(Nx,Ny) asp=xax.ptp()/y... | 471,658 |
def append_process(xmldoc, comment = None, force = None, e_thinca_parameter = None, effective_snr_factor = None, vetoes_name = None, trigger_program = None, effective_snr = None, verbose = None): process = llwapp.append_process(xmldoc, program = process_program_name, version = __version__, cvs_repository = u"lscsoft", ... | def append_process(xmldoc, comment = None, force = None, e_thinca_parameter = None, effective_snr_factor = None, vetoes_name = None, trigger_program = None, effective_snr = None, coinc_end_time_segment = None, verbose = None): process = llwapp.append_process(xmldoc, program = process_program_name, version = __version__... | 471,659 |
def append_coinc(self, process_id, time_slide_id, coinc_def_id, events, effective_snr_factor): # # populate the coinc_event and coinc_event_map tables # | def append_coinc(self, process_id, time_slide_id, coinc_def_id, events, effective_snr_factor): # # populate the coinc_event and coinc_event_map tables # | 471,660 |
def ligolw_thinca( xmldoc, process_id, EventListType, CoincTables, coinc_definer_row, event_comparefunc, thresholds, ntuple_comparefunc = lambda events, offset_vector: False, effective_snr_factor = 250.0, veto_segments = None, trigger_program = u"inspiral", verbose = False | def ligolw_thinca( xmldoc, process_id, EventListType, CoincTables, coinc_definer_row, event_comparefunc, thresholds, ntuple_comparefunc = default_ntuple_comparefunc, effective_snr_factor = 250.0, veto_segments = None, trigger_program = u"inspiral", verbose = False | 471,661 |
def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | def __init__(self, dag, job, cp, opts, time, ifo, p_nodes=[], type="ht", variety="fg"): | 471,662 |
def _abs_diff(c): """ For some angular difference c = |a - b| in radians, find the magnitude of the difference, taking into account the wrap-around at 2*pi. """ c = abs(c) % (2 * LAL_PI) return np.fmin(c, 2 * LAL_PI - c) | def _abs_diff(c): """ For some angular difference c = |a - b| in radians, find the magnitude of the difference, taking into account the wrap-around at 2*pi. """ c = abs(c) % (2 * LAL_PI) return np.where(c < LAL_PI, c, 2 * LAL_PI - c) | 471,663 |
def fisher_rvs(mu, sigma, size=1): """ Return a random (polar, azimuthal) angle drawn from the Fisher distribution. Assume that the concentration parameter (kappa) is large so that we can use a Rayleigh distribution about the north pole and rotate it to be centered at the (polar, azimuthal) coordinate mu. Assume kappa... | def fisher_rvs(mu, sigma, size=1): """ Return a random (polar, azimuthal) angle drawn from the Fisher distribution. Assume that the concentration parameter (kappa) is large so that we can use a Rayleigh distribution about the north pole and rotate it to be centered at the (polar, azimuthal) coordinate mu. Assume kappa... | 471,664 |
def run(self): # remove the automatically generated user env scripts for script in ["pylal-user-env.sh", "pylal-user-env.csh"]: log.info("removing " + script ) try: os.unlink(os.path.join("etc", script)) except: pass | def run(self): # remove the automatically generated user env scripts for script in ["pylal-user-env.sh", "pylal-user-env.csh"]: log.info("removing " + script ) try: os.unlink(os.path.join("etc", script)) except: pass | 471,665 |
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.pat... | 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.pat... | 471,666 |
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.pat... | 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.pat... | 471,667 |
def run(self): # remove the automatically generated user env scripts for script in ["pylal-user-env.sh", "pylal-user-env.csh"]: log.info("removing " + script ) try: os.unlink(os.path.join("etc", script)) except: pass | def run(self): # remove the automatically generated user env scripts for script in ["pylal-user-env.sh", "pylal-user-env.csh"]: log.info("removing " + script ) try: os.unlink(os.path.join("etc", script)) except: pass | 471,668 |
def figure_out_cache(time,ifo): cacheList=( (home_dirs()+"/romain/followupbackgrounds/omega/S5/background/background_815155213_875232014.cache",815155213,875232014,"H1H2L1"), (home_dirs()+"/romain/followupbackgrounds/omega/S6a/background/background_931035296_935798415.cache",931035296,935798415,"H1L1"), (home_dirs()+"... | def figure_out_cache(time,ifo): cacheList=( (home_dirs()+"/romain/followupbackgrounds/omega/S5/background/background_815155213_875232014.cache",815155213,875232014,"H1H2L1"), (home_dirs()+"/romain/followupbackgrounds/omega/S6a/background/background_931035296_935798415.cache",931035296,935798415,"H1L1"), (home_dirs()+"... | 471,669 |
def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | 471,670 |
def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | def __init__(self,cp,ifo,timeref): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | 471,671 |
def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | 471,672 |
def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | 471,673 |
def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | 471,674 |
def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | def __init__(self,cp,ifo): depIfoIniConfig = ifo+'config' self.depIfoDir = ifo+'_qscans_config' depQscanList = ['bg-rds-qscan', 'bg-seismic-qscan'] | 471,675 |
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... | 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... | 471,676 |
def __patchFrameTypeDef__(frametype=None,ifo=None,gpstime=None): """ Temporary patch function, to adjust specfied frame type used in searching the filesystem for files to display in followup. """ if frametype == None: raise Exception, "input to __patchFrameTypeDef__ included a \ frametype argument specified as None\n" ... | def __patchFrameTypeDef__(frametype=None,ifo=None,gpstime=None): """ Temporary patch function, to adjust specfied frame type used in searching the filesystem for files to display in followup. """ if frametype == None: raise Exception, "input to __patchFrameTypeDef__ included a \ frametype argument specified as None\n" ... | 471,677 |
coldef = create_col(coldict['nolong']) | coldef = create_col(coldict['nolong']) | 471,678 |
def system_call(item, command, divert_output_to_log = True): """ Makes a system call. @params item: a text specifying the content of the text (e.g. number of the GRB the message is associated with) (see also 'info') @params command: the command to be executed on the bash @params divert_output_to_log: If this flag is se... | def system_call(item, command, divert_output_to_log = True): """ Makes a system call. @params item: a text specifying the content of the text (e.g. number of the GRB the message is associated with) (see also 'info') @params command: the command to be executed on the bash @params divert_output_to_log: If this flag is se... | 471,679 |
def make_cvs_copy(self, files, dest_dir): """ Copies all the files given in the list 'files' to dest_dir and creates a file 'cvs_versions.txt' in dest_dir containing the actual CVS version of the files @param files: list of files to be copied from self.input_dir @param dest_dir: destination directory """ | def make_cvs_copy(self, files, dest_dir): """ Copies all the files given in the list 'files' to dest_dir and creates a file 'cvs_versions.txt' in dest_dir containing the actual CVS version of the files @param files: list of files to be copied from self.input_dir @param dest_dir: destination directory """ | 471,680 |
def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | 471,681 |
def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | def __init__(self,job,coinc,cp,opts,dag,ifo,ifonames,p_nodes): pipeline.CondorDAGNode.__init__(self,job) | 471,682 |
def fisher_rvs(mu, sigma, size=None): """ Return a random (polar, azimuthal) angle drawn from the Fisher distribution. Assume that the concentration parameter (kappa) is large so that we can use a Rayleigh distribution about the north pole and rotate it to be centered at the (polar, azimuthal) coordinate mu. Assume ka... | def fisher_rvs(mu, sigma, size=1): """ Return a random (polar, azimuthal) angle drawn from the Fisher distribution. Assume that the concentration parameter (kappa) is large so that we can use a Rayleigh distribution about the north pole and rotate it to be centered at the (polar, azimuthal) coordinate mu. Assume kappa... | 471,683 |
def createDQbackground(self,ifoEpochList=list(),pickleLocale=None): """ Two inputs a list of tuples (ifo,epochname) for each instrument. Also a place to save the potential pickle to for quick access later. """ if type(ifoEpochList) != type(list()): raise Exception, \ "Invalid input argument ifoEpochList,%s type(%s)"... | def createDQbackground(self,ifoEpochList=list(),pickleLocale=None): """ Two inputs a list of tuples (ifo,epochname) for each instrument. Also a place to save the potential pickle to for quick access later. """ if type(ifoEpochList) != type(list()): raise Exception, \ "Invalid input argument ifoEpochList,%s type(%s)"... | 471,684 |
def createDQbackground(self,ifoEpochList=list(),pickleLocale=None): """ Two inputs a list of tuples (ifo,epochname) for each instrument. Also a place to save the potential pickle to for quick access later. """ if type(ifoEpochList) != type(list()): raise Exception, \ "Invalid input argument ifoEpochList,%s type(%s)"... | def createDQbackground(self,ifoEpochList=list(),pickleLocale=None): """ Two inputs a list of tuples (ifo,epochname) for each instrument. Also a place to save the potential pickle to for quick access later. """ if type(ifoEpochList) != type(list()): raise Exception, \ "Invalid input argument ifoEpochList,%s type(%s)"... | 471,685 |
def createDQbackground(self,ifoEpochList=list(),pickleLocale=None): """ Two inputs a list of tuples (ifo,epochname) for each instrument. Also a place to save the potential pickle to for quick access later. """ if type(ifoEpochList) != type(list()): raise Exception, \ "Invalid input argument ifoEpochList,%s type(%s)"... | def createDQbackground(self,ifoEpochList=list(),pickleLocale=None): """ Two inputs a list of tuples (ifo,epochname) for each instrument. Also a place to save the potential pickle to for quick access later. """ if type(ifoEpochList) != type(list()): raise Exception, \ "Invalid input argument ifoEpochList,%s type(%s)"... | 471,686 |
def getinjpar(inj,parnum): if paramnames(parnum)=='mchirp': return inj.mchirp if paramname(parnum)=='eta': return inj.eta if paramname(parnum)=='time': return inj.get_end() if paramname(parnum)=='phi0': return inj.phi0 if paramname(parnum)=='dist': return inj.distance if paramname(parnum)=='RA': return inj.longitude if... | def getinjpar(inj,parnum): if paramnames[parnum]=='mchirp': return inj.mchirp if paramnames[parnum]=='eta': return inj.eta if paramnames[parnum]=='time': return inj.get_end() if paramnames[parnum]=='phi0': return inj.phi0 if paramnames[parnum]=='dist': return inj.distance if paramnames[parnum]=='RA': return inj.longitu... | 471,687 |
def plot2Dkernel(xdat,ydat,Nx,Ny): xax=linspace(min(xdat),max(xdat),Nx) yax=linspace(min(ydat),max(ydat),Ny) x,y=numpy.meshgrid(xax,yax) samp=array([xdat,ydat]) kde=stats.kde.gaussian_kde(samp) grid_coords = numpy.append(x.reshape(-1,1),y.reshape(-1,1),axis=1) z = kde(grid_coords.T) z = z.reshape(Nx,Ny) asp=xax.ptp()/y... | def plot2Dkernel(xdat,ydat,Nx,Ny): xax=linspace(min(xdat),max(xdat),Nx) yax=linspace(min(ydat),max(ydat),Ny) x,y=numpy.meshgrid(xax,yax) samp=array([xdat,ydat]) kde=stats.kde.gaussian_kde(samp) grid_coords = numpy.append(x.reshape(-1,1),y.reshape(-1,1),axis=1) z = kde(grid_coords.T) z = z.reshape(Nx,Ny) asp=xax.ptp()/y... | 471,688 |
def fromsegmentxml(file): """ Read a segmentlist from the file object file containing an xml segment table. """ xmldoc,digest = ligolw_utils.load_fileobj(file) seg_table = table.get_table(xmldoc,lsctables.SegmentTable.tableName) segs = segmentlist() for seg in seg_table: segs.append(segment(seg.start_time,seg.end_tim... | def fromsegmentxml(file): """ Read a segmentlist from the file object file containing an xml segment table. """ xmldoc,digest = utils.load_fileobj(file) seg_table = table.get_table(xmldoc,lsctables.SegmentTable.tableName) segs = segmentlist() for seg in seg_table: segs.append(segment(seg.start_time,seg.end_time)) seg... | 471,689 |
def fromsegmentcsvCSV(csvfile): """ Read a segmentlist from the file object file containing a comma separated list of segments. """ def CSVLineToSeg(line): tstart, tend = map(int, line.split(',')) return segment(tstart, tend) segs = segmentlist([CSVLineToSeg(line) for line in csvfile]) return segs.coalesce() | def fromsegmentcsv(csvfile): """ Read a segmentlist from the file object file containing a comma separated list of segments. """ def CSVLineToSeg(line): tstart, tend = map(int, line.split(',')) return segment(tstart, tend) segs = segmentlist([CSVLineToSeg(line) for line in csvfile]) return segs.coalesce() | 471,690 |
def grab_segments(start,end,flag): """ Returns a segmentlist containing the segments during which the given flag was active in the given period. """ exe = make_external_call('which ligolw_segment_query')[0] #== construct segment query segment_cmd = ' '.join([exe,'--query-segments',\ '--database','--include-segments',fl... | def grab_segments(start,end,flag): """ Returns a segmentlist containing the segments during which the given flag was active in the given period. """ exe = make_external_call('which ligolw_segment_query')[0] #== construct segment query segment_cmd = ' '.join([exe,'--query-segments',\ '--database','--include-segments',fl... | 471,691 |
def grab_segments(start,end,flag): """ Returns a segmentlist containing the segments during which the given flag was active in the given period. """ exe = make_external_call('which ligolw_segment_query')[0] #== construct segment query segment_cmd = ' '.join([exe,'--query-segments',\ '--database','--include-segments',fl... | def grab_segments(start,end,flag): """ Returns a segmentlist containing the segments during which the given flag was active in the given period. """ exe = make_external_call('which ligolw_segment_query')[0] #== construct segment query segment_cmd = ' '.join([exe,'--query-segments',\ '--database','--include-segments',fl... | 471,692 |
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... | 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... | 471,693 |
def populate_SkyLocTable(skyloctable,coinc,adt60,adt90,adt60dD60,adt90dD90,\ pt,grid_fname,skymap_fname=None): """ populate a row in a skyloctable """ row = skyloctable.RowType() row.end_time = coinc.time row.set_ifos(coinc.ifo_list) rhosquared = 0.0 for ifo in coinc.ifo_list: rhosquared += coinc.snr[ifo]*coinc.snr[if... | def populate_SkyLocTable(skyloctable,coinc,adt60,adt90,arank60,arank90,\ pt,grid_fname,skymap_fname=None): """ populate a row in a skyloctable """ row = skyloctable.RowType() row.end_time = coinc.time row.set_ifos(coinc.ifo_list) rhosquared = 0.0 for ifo in coinc.ifo_list: rhosquared += coinc.snr[ifo]*coinc.snr[ifo] r... | 471,694 |
def populate_SkyLocTable(skyloctable,coinc,adt60,adt90,adt60dD60,adt90dD90,\ pt,grid_fname,skymap_fname=None): """ populate a row in a skyloctable """ row = skyloctable.RowType() row.end_time = coinc.time row.set_ifos(coinc.ifo_list) rhosquared = 0.0 for ifo in coinc.ifo_list: rhosquared += coinc.snr[ifo]*coinc.snr[if... | def populate_SkyLocTable(skyloctable,coinc,adt60,adt90,adt60dD60,adt90dD90,\ pt,grid_fname,skymap_fname=None): """ populate a row in a skyloctable """ row = skyloctable.RowType() row.end_time = coinc.time row.set_ifos(coinc.ifo_list) rhosquared = 0.0 for ifo in coinc.ifo_list: rhosquared += coinc.snr[ifo]*coinc.snr[if... | 471,695 |
def greedyBin2(posterior_array,par_bins,confidence_levels,par_names=None,injection=None): if par_names: par1_name,par2_name=par_names else: par1_name="Parameter 1" par2_name="Parameter 2" par1pos=posterior_array[:,0] par2pos=posterior_array[:,1] par1_bin,par2_bin=par_bins if injection: par1_injvalue,par2_injvalue=i... | def greedyBin2(posterior_array,par_bins,confidence_levels,par_names=None,injection=None): if par_names: par1_name,par2_name=par_names else: par1_name="Parameter 1" par2_name="Parameter 2" par1pos=posterior_array[:,0] par2pos=posterior_array[:,1] par1_bin,par2_bin=par_bins if injection: par1_injvalue,par2_injvalue=i... | 471,696 |
def add_dq(self, page): page.add_section("DQ", "Data Quality for %s" % (self.coinctime,)) page.sections["DQ"].div("This section gives vetoes and flags that were on") | def add_dq(self, page): page.add_section("DQ", "Data Quality for %s" % (self.coinctime,)) page.sections["DQ"].div("This section gives vetoes and flags that were on") | 471,697 |
def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | 471,698 |
def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | def get_coincs(self, eventlists, event_comparefunc, thresholds, verbose = False): # # has this node already been visited? if so, return the # answer we already know # | 471,699 |
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