bugged stringlengths 4 228k | fixed stringlengths 0 96.3M | __index_level_0__ int64 0 481k |
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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... | 471,500 |
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... | 471,501 |
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... | 471,502 |
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... | 471,503 |
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... | 471,504 |
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 | 471,505 |
def convert_duration( duration ): return sqlutils.convert_duration( duration, convert_durations ) | def convert_duration( duration ): return sqlutils.convert_duration( duration, convert_durations ) | 471,506 |
def get_pyvalue(self): return generic_get_pyvalue(self) | def get_pyvalue(self): return generic_get_pyvalue(self) | 471,507 |
def get_decisive_distance( *args ): return sorted(args)[1] | def get_decisive_distance( *args ): return sorted(args)[1] | 471,508 |
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 | 471,509 |
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 | 471,510 |
def __init__(self,LDBDServerURL=None,quiet=bool(False),pickle=None,blinded=False): """ This class setups of for connecting to a LDBD server specified at command line to do segment queries as part of the follow up pipeline. If the user does not specify the LDBD server to use the method will use the environment variable... | def __init__(self,LDBDServerURL=None,quiet=bool(False),pickle=None,blinded=False): """ This class setups of for connecting to a LDBD server specified at command line to do segment queries as part of the follow up pipeline. If the user does not specify the LDBD server to use the method will use the environment variable... | 471,511 |
def getFOMLinks(gpsTime=int(0),ifo=("default")): """ Simple method returns a list of links to FOMs ordered by FOM # The list is 2D ie: [['ifo,shift',LINKtoImage,LinktoThumb],['ifo,shift',LinktoImage,LinkToThumb]...] images marked [Eve,Owl,Day] via [p3,p2,p1] in filenames this methd only for S6 and later IFO naming star... | def getFOMLinks(gpsTime=int(0),ifo=("default")): """ Simple method returns a list of links to FOMs ordered by FOM # The list is 2D ie: [['ifo,shift',LINKtoImage,LinktoThumb],['ifo,shift',LinktoImage,LinkToThumb]...] images marked [Eve,Owl,Day] via [p3,p2,p1] in filenames this methd only for S6 and later IFO naming star... | 471,512 |
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... | 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... | 471,513 |
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... | 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... | 471,514 |
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... | 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... | 471,515 |
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)) | 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)) | 471,516 |
def finish(self, filters = {}, verbose = False): default_filter = rate.gaussian_window(21) # normalizing each array so that its sum is 1 has the # effect of making the integral of P(x) dx equal 1 after # the array is transformed to an array of densities (which # is done by dividing each bin by dx). N = len(self.zero_la... | def finish(self, filters = {}, verbose = False): default_filter = rate.gaussian_window(21) # normalizing each array so that its sum is 1 has the # effect of making the integral of P(x) dx equal 1 after # the array is transformed to an array of densities (which # is done by dividing each bin by dx). N = len(self.zero_la... | 471,517 |
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... | 471,518 |
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... | 471,519 |
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... | 471,520 |
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=[]): | 471,521 |
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=[]): | 471,522 |
def __init__(self, dag, job, cp, opts, coinc, inspiral_node_dict, chia_node =None, p_nodes = []): | def __init__(self, dag, job, cp, opts, coinc, inspiral_node_dict, chia_node =None, p_nodes = []): | 471,523 |
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 | 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 | 471,524 |
def map_grids(coarsegrid,finegrid,coarseres=4.0): """ takes the two grids (lists of lat/lon tuples) and returns a dictionary where the points in the coarse grid are the keys and lists of tuples of points in the fine grid are the values """ fgtemp = finegrid[:] coarsedict = {} ds = coarseres*pi/180.0 for cpt in coarseg... | def map_grids(coarsegrid,finegrid,coarseres=4.0): """ takes the two grids (lists of lat/lon tuples) and returns a dictionary where the points in the coarse grid are the keys and lists of tuples of points in the fine grid are the values """ fgtemp = finegrid[:] coarsedict = {} ds = coarseres*pi/180.0 for cpt in coarsegr... | 471,525 |
def map_grids(coarsegrid,finegrid,coarseres=4.0): """ takes the two grids (lists of lat/lon tuples) and returns a dictionary where the points in the coarse grid are the keys and lists of tuples of points in the fine grid are the values """ fgtemp = finegrid[:] coarsedict = {} ds = coarseres*pi/180.0 for cpt in coarseg... | def map_grids(coarsegrid,finegrid,coarseres=4.0): """ takes the two grids (lists of lat/lon tuples) and returns a dictionary where the points in the coarse grid are the keys and lists of tuples of points in the fine grid are the values """ fgtemp = finegrid[:] coarsedict = {} ds = coarseres*pi/180.0 for cpt in coarseg... | 471,526 |
def setup_distrib_script(self,tag_base): distrib_script = open('distribRemoteScan_'+tag_base+'.sh','w') distrib_script.write("""#!/bin/bash | def setup_distrib_script(self,tag_base): distrib_script = open('distribRemoteScan_'+tag_base+'.sh','w') distrib_script.write("""#!/bin/bash | 471,527 |
def setup_distrib_script(self,tag_base): distrib_script = open('distribRemoteScan_'+tag_base+'.sh','w') distrib_script.write("""#!/bin/bash | def setup_distrib_script(self,tag_base): distrib_script = open('distribRemoteScan_'+tag_base+'.sh','w') distrib_script.write("""#!/bin/bash | 471,528 |
def add_content(self, data, label="_nolabel_"): """ Stub. Replace with a method that appends values or lists of values to self.data_sets and appends labels to self.data_labels. Feel free to accept complicated inputs, but try to store only the raw numbers that will enter the plot. """ raise NotImplemented | def add_content(self, data, label="_nolabel_"): """ Stub. Replace with a method that appends values or lists of values to self.data_sets and appends labels to self.data_labels. Feel free to accept complicated inputs, but try to store only the raw numbers that will enter the plot. """ raise NotImplemented | 471,529 |
def finalize(self): """ Stub. Replace with a function that creates and makes your plot pretty. Do not do I/O here. """ raise NotImplemented | def finalize(self): """ Stub. Replace with a function that creates and makes your plot pretty. Do not do I/O here. """ raise NotImplemented | 471,530 |
def __init__(self, dag, job, cp, opts, coincEvent=None): """ """ self.__conditionalLoadDefaults__(findFlagsNode.defaults,cp) pipeline.CondorDAGNode.__init__(self,job) self.add_var_opt("trigger-time",coincEvent.time) #Output filename oFilename="%s-findFlags_%s_%s.wiki"%(coincEvent.instruments, coincEvent.ifos, coincEven... | def __init__(self, dag, job, cp, opts, coincEvent=None): """ """ self.__conditionalLoadDefaults__(findFlagsNode.defaults,cp) pipeline.CondorDAGNode.__init__(self,job) self.add_var_opt("trigger-time",coincEvent.time) #Output filename oFilename="%s-findFlags_%s_%s.wiki"%(coincEvent.instruments, coincEvent.ifos, coincEven... | 471,531 |
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... | 471,532 |
def getinjpar(inj,parnum): if parnum==0: return inj.mchirp if parnum==1: return inj.eta if parnum==2: return inj.get_end() if parnum==3: return inj.phi0 if parnum==4: return inj.distance if parnum==5: return inj.longitude if parnum==6: return inj.latitude if parnum==7: return inj.polarization if parnum==8: return inj.i... | def getinjpar(inj,parnum): if parnum==0: return inj.mchirp if parnum==1: return inj.eta if parnum==2: return inj.get_end() if parnum==3: return inj.phi0 if parnum==4: return inj.distance if parnum==5: return inj.longitude if parnum==6: return inj.latitude if parnum==7: return inj.polarization if parnum==8: return inj.i... | 471,533 |
def getinjpar(inj,parnum): if parnum==0: return inj.mchirp if parnum==1: return inj.eta if parnum==2: return inj.get_end() if parnum==3: return inj.phi0 if parnum==4: return inj.distance if parnum==5: return inj.longitude if parnum==6: return inj.latitude if parnum==7: return inj.polarization if parnum==8: return inj.i... | def getinjpar(inj,parnum): if parnum==0: return inj.mchirp if parnum==1: return inj.eta if parnum==2: return inj.get_end() if parnum==3: return inj.phi0 if parnum==4: return inj.distance if parnum==5: return inj.longitude if parnum==6: return inj.latitude if parnum==7: return inj.polarization if parnum==8: return inj.i... | 471,534 |
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)... | 471,535 |
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)... | 471,536 |
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)... | 471,537 |
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)... | 471,538 |
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)... | 471,539 |
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)... | 471,540 |
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 | 471,541 |
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 | 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 | 471,542 |
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... | 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... | 471,543 |
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=[]): | 471,544 |
def __init__(self, dag, job, cp, opts, coinc, inspiral_node_dict, chia_node =None, p_nodes = []): | def __init__(self, dag, job, cp, opts, coinc, inspiral_node_dict, chia_node =None, p_nodes = []): | 471,545 |
def loadDataFile(filename): print filename infile=open(filename,'r') formatstr=infile.readline().lstrip() header=formatstr.split() llines=[] import re dec=re.compile(r'[^\d.-]+') for line in infile: sline=line.split() proceed=True for s in sline: if dec.search(s) is not None: print 'Warning! Ignoring non-numeric data a... | def loadDataFile(filename): print filename infile=open(filename,'r') formatstr=infile.readline().lstrip() header=formatstr.split() llines=[] import re dec=re.compile(r'[^\d.-]+') for line in infile: sline=line.split() proceed=True for s in sline: if dec.search(s) is not None: print 'Warning! Ignoring non-numeric data a... | 471,546 |
def loadDataFile(filename): print filename infile=open(filename,'r') formatstr=infile.readline().lstrip() header=formatstr.split() llines=[] import re dec=re.compile(r'[^\d.-]+') for line in infile: sline=line.split() proceed=True for s in sline: if dec.search(s) is not None: print 'Warning! Ignoring non-numeric data a... | def loadDataFile(filename): print filename infile=open(filename,'r') formatstr=infile.readline().lstrip() header=formatstr.split() llines=[] import re dec=re.compile(r'[^\d.-]+') for line in infile: sline=line.split() proceed=True for s in sline: if dec.search(s) is not None: print 'Warning! Ignoring non-numeric data a... | 471,547 |
def add(self, *args): packing.Bin.add(self, *args) self.extent = self.size.extent_all() return self | def add(self, cache_entry): packing.Bin.add(self, cache_entry, cache_entry.to_segmentlistdict()) self.extent = self.size.extent_all() return self | 471,548 |
def pack(self, cache_entry): """ Find all bins in which this glue.lal.CacheEntry instance belongs, merge them, and add this cache entry to the result. Create a new bin for this cache entry if it does not belong in any of the existing bins. | def pack(self, cache_entry): """ Find all bins in which this glue.lal.CacheEntry instance belongs, merge them, and add this cache entry to the result. Create a new bin for this cache entry if it does not belong in any of the existing bins. | 471,549 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,550 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,551 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,552 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,553 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,554 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,555 |
def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | def split_bins(cafepacker, extentlimit, verbose = False): """ Split bins in CafePacker so that each bin has an extent no longer than extentlimit. """ # # loop over all bins in cafepacker.bins # idx = 0 while idx < len(cafepacker.bins): # # retrieve bin # origbin = cafepacker.bins[idx] # # how many pieces? if bin d... | 471,556 |
def _greedy_bin(greedyHist,greedyPoints,injection_bin_index,bin_size,Nsamples,confidence_levels): """ An interal function representing the common, dimensionally-independent part of the greedy binning algorithms. """ #Now call confidence level C extension function to determine top-ranked pixels (injectionconfidence,top... | def _greedy_bin(greedyHist,greedyPoints,injection_bin_index,bin_size,Nsamples,confidence_levels): """ An interal function representing the common, dimensionally-independent part of the greedy binning algorithms. """ #Now call confidence level C extension function to determine top-ranked pixels (injectionconfidence,top... | 471,557 |
def fetchInformation(self,triggerTime=None,window=300): """ Wrapper for fetchInformationDualWindow that mimics original behavior """ return self.fetchInformationDualWindow(triggerTime,window,window,ifoList='DEFAULT') | deffetchInformation(self,triggerTime=None,window=300):"""WrapperforfetchInformationDualWindowthatmimicsoriginalbehavior"""returnself.fetchInformationDualWindow(triggerTime,window,window,ifoList='DEFAULT') | 471,558 |
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)"... | 471,559 |
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)"\ %... | 471,560 |
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)"\ %... | 471,561 |
def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | 471,562 |
def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | 471,563 |
def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | 471,564 |
def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | def estimateDQbackground(self): """ This method looks at the self.resultlist inside the instance. Using this and 1000 generated time stamp it tabulates a ranking of flag prevelance, binomial probability 'p' """ if len(self.resultList) < 1: self.__backgroundResults__=list() self.__backgroundTimesDict__=dict() self.__bac... | 471,565 |
def generateHTMLTable(self,tableType="BOTH"): """ Return a HTML table already formatted using the module MARKUP to keep the HTML tags complient. This method does nothing but return the result of the last call to self.fetchInformation() The flag names associated with LIGO will have links to the channel wiki in them als... | def generateHTMLTable(self,tableType="BOTH"): """ Return a HTML table already formatted using the module MARKUP to keep the HTML tags complient. This method does nothing but return the result of the last call to self.fetchInformation() The flag names associated with LIGO will have links to the channel wiki in them als... | 471,566 |
def generateHTMLTable(self,tableType="BOTH"): """ Return a HTML table already formatted using the module MARKUP to keep the HTML tags complient. This method does nothing but return the result of the last call to self.fetchInformation() The flag names associated with LIGO will have links to the channel wiki in them als... | def generateHTMLTable(self,tableType="BOTH"): """ Return a HTML table already formatted using the module MARKUP to keep the HTML tags complient. This method does nothing but return the result of the last call to self.fetchInformation() The flag names associated with LIGO will have links to the channel wiki in them als... | 471,567 |
def generateMOINMOINTable(self,tableType="BOTH"): """ Return a MOINMOIN table. """ ligo=["L1","H1","H2","V1"] channelWiki="https://ldas-jobs.ligo.caltech.edu/cgi-bin/chanwiki?%s" if self.triggerTime==int(-1): return "" myColor="grey" tableString="" titleString="" emptyRowString="" rowString="" for i,col in enumerate(se... | def generateMOINMOINTable(self,tableType="BOTH"): """ Return a MOINMOIN table. """ ligo=["L1","H1","H2","V1"] channelWiki="https://ldas-jobs.ligo.caltech.edu/cgi-bin/chanwiki?%s" if self.triggerTime==int(-1): return "" myColor="grey" tableString="" titleString="" emptyRowString="" rowString="" for i,col in enumerate(se... | 471,568 |
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)->... | 471,569 |
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)->... | 471,570 |
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)->... | 471,571 |
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)->... | 471,572 |
def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | 471,573 |
def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | 471,574 |
def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | 471,575 |
def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | 471,576 |
def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | 471,577 |
def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | def convert2DHistTo3ColVectors(myMatrix,xBins=None,yBins=None): """ Create three vectors X,Y,Z for ease of use in functs like contour, and scatter instead of imshow! If [x,y]Bins==None use bin index for X, Y Input matrix assumed square!! """ if xBins==None: xBins=range(len(myMatrix)) if yBins==None: yBins=range(len(myM... | 471,578 |
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... | 471,579 |
def daily_ihope_cache(start,end,ifo,cluster=None): """ Generates cache list of daily ihope INSPIRAL xml files for give ifo and clustering (None,'30ms','100ms', or '16s') between start and end time """ #== daily path ihope_daily_path = '/archive/home/cbc/ihope_daily' #== set clustering tag if cluster==None or cluster.... | def daily_ihope_cache(start,end,ifo,cluster=None): """ Generates cache list of daily ihope INSPIRAL xml files for give ifo and clustering (None,'30ms','100ms', or '16s') between start and end time """ #== daily path ihope_daily_path = '/archive/home/cbc/ihope_daily' #== set clustering tag if cluster==None or cluster.... | 471,580 |
def insertAnalyzeQscanTable(self, images=None, thumbs=None, indexes=None, imagesAQ=None, thumbsAQ=None, indexesAQ=None, channelRanks=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 to change th... | def insertAnalyzeQscanTable(self, images=None, thumbs=None, indexes=None, imagesAQ=None, thumbsAQ=None, indexesAQ=None, channelRanks=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 to change th... | 471,581 |
def insertAnalyzeQscanTable(self, images=None, thumbs=None, indexes=None, imagesAQ=None, thumbsAQ=None, indexesAQ=None, channelRanks=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 to change th... | def insertAnalyzeQscanTable(self, images=None, thumbs=None, indexes=None, imagesAQ=None, thumbsAQ=None, indexesAQ=None, channelRanks=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 to change th... | 471,582 |
def __init__(self): """ here are all the things we need """ #start with data needed for every coinc self.ifo_list = [] self.ifo_coincs = [] self.snr = {} self.gps = {} self.eff_distances = {} self.mass1 = {} self.mass2 = {} self.time = None self.FAR = 99 #this stuff is only needed for injections self.is_injection = ... | def __init__(self): """ here are all the things we need """ #start with data needed for every coinc self.ifo_list = [] self.ifo_coincs = [] self.snr = {} self.gps = {} self.eff_distances = {} self.mass1 = {} self.mass2 = {} self.time = None self.FAR = -1 #this stuff is only needed for injections self.is_injection = ... | 471,583 |
def set_inj_params(self,lat,lon,m1,m2,dist,effDs): """ set all of the injection parameters at once """ self.latitude_inj = lat self.longitude_inj = lon self.mass1_inj = m1 self.mass2_inj = m2 self.distance_inj = dist self.eff_distances_inj = effDs | def set_inj_params(self,lat,lon,m1,m2,dist,effDs): """ set all of the injection parameters at once """ self.latitude_inj = lat self.longitude_inj = lon self.mass1_inj = m1 self.mass2_inj = m2 self.distance_inj = dist self.eff_distances_inj = effDs | 471,584 |
def get_coincs_from_coinctable(self,files): """ read data from coinc tables (xml format) FIXME: currently assumes one coinc per file!!! """ for file in files: coinc = CoincData() xmldoc = utils.load_filename(file) sngltab = tab.get_table(xmldoc,lsctables.SnglInspiralTable.tableName) coinc.set_snr(dict((row.ifo, row.sn... | def get_coincs_from_coinctable(self,files): """ read data from coinc tables (xml format) FIXME: currently assumes one coinc per file!!! """ for file in files: coinc = CoincData() xmldoc = utils.load_filename(file) sngltab = tab.get_table(xmldoc,lsctables.SnglInspiralTable.tableName) coinc.set_snr(dict((row.ifo, row.sn... | 471,585 |
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 | 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 base_name + ext | 471,586 |
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 | 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 name | 471,587 |
def append_process(xmldoc, comment = None, force = None, ds_sq_threshold = None, save_small_coincs = None, vetoes_name = None, verbose = None): process = llwapp.append_process(xmldoc, program = process_program_name, version = __version__, cvs_repository = u"lscsoft", cvs_entry_time = __date__, comment = comment) param... | def append_process(xmldoc, comment = None, force = None, ds_sq_threshold = None, save_small_coincs = None, vetoes_name = None, coinc_end_time_segment = None, verbose = None): process = llwapp.append_process(xmldoc, program = process_program_name, version = __version__, cvs_repository = u"lscsoft", cvs_entry_time = __da... | 471,588 |
def append_coinc(self, process_id, time_slide_id, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | def append_coinc(self, process_id, node, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | 471,589 |
def append_coinc(self, process_id, time_slide_id, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | def time_slide_id = node.time_slide_id append_coinc(self, time_slide_id = node.time_slide_id process_id, time_slide_id = node.time_slide_id time_slide_id, time_slide_id = node.time_slide_id coinc_def_id, time_slide_id = node.time_slide_id events): time_slide_id = node.time_slide_id # time_slide_id = node.time_sli... | 471,590 |
def append_coinc(self, process_id, time_slide_id, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | def append_coinc(self, process_id, time_slide_id, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | 471,591 |
def append_coinc(self, process_id, time_slide_id, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | def append_coinc(self, process_id, time_slide_id, coinc_def_id, events): # # populate the coinc_event and coinc_event_map tables # | 471,592 |
def ligolw_rinca( xmldoc, process_id, EventListType, CoincTables, coinc_definer_row, event_comparefunc, thresholds, ntuple_comparefunc = lambda events, offset_vector: False, small_coincs = False, veto_segments = None, verbose = False | def ligolw_rinca( xmldoc, process_id, EventListType, CoincTables, coinc_definer_row, event_comparefunc, thresholds, ntuple_comparefunc = lambda events, offset_vector: False, small_coincs = False, veto_segments = None, verbose = False | 471,593 |
def ligolw_rinca( xmldoc, process_id, EventListType, CoincTables, coinc_definer_row, event_comparefunc, thresholds, ntuple_comparefunc = lambda events, offset_vector: False, small_coincs = False, veto_segments = None, verbose = False | def ligolw_rinca( xmldoc, process_id, EventListType, CoincTables, coinc_definer_row, event_comparefunc, thresholds, ntuple_comparefunc = lambda events, offset_vector: False, small_coincs = False, veto_segments = None, verbose = False | 471,594 |
def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | def __init__(self, configfile=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self... | 471,595 |
def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | 471,596 |
def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | 471,597 |
def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | 471,598 |
def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | def __init__(self, config=None): cp = ConfigParser.ConfigParser() self.cp = cp self.time_now = "_".join([str(i) for i in time_method.gmtime()[0:6]]) self.ini_file=self.time_now + ".ini" home_base = home_dirs() # CONDOR SECTION NEEDED BY THINGS IN INSPIRAL.PY cp.add_section("condor") cp.set("condor","datafind",self.whi... | 471,599 |
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