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LALPulsar 7.1.1.1-5e288d3
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test_flat_prior.py File Reference

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Namespaces

namespace  test_flat_prior
 

Variables

int test_flat_prior.exit_code = 0
 
string test_flat_prior.execu = "./lalpulsar_parameter_estimation_nested"
 
string test_flat_prior.parfile
 
string test_flat_prior.parf = "test.par"
 
 test_flat_prior.f = open(parf, "w")
 
string test_flat_prior.datafile = "data.txt.gz"
 
 test_flat_prior.ds = np.zeros((1440, 3))
 
 test_flat_prior.fmt
 
list test_flat_prior.h0uls = [1e-22, 1e-21, 1e-20, 1e-19, 1e-18, 1e-17]
 
string test_flat_prior.dets = "H1"
 
string test_flat_prior.Nlive = "5000"
 
string test_flat_prior.Nmcmcinitial = "0"
 
string test_flat_prior.outfile = "test.hdf"
 
string test_flat_prior.outfile_SNR = "test_SNR"
 
string test_flat_prior.outfile_Znoise = "test_Znoise"
 
string test_flat_prior.priorsamples = Nlive
 
 test_flat_prior.flush
 
string test_flat_prior.priorfile
 
string test_flat_prior.priorf = "test.prior"
 
tuple test_flat_prior.commandline
 
 test_flat_prior.shell
 
 test_flat_prior.a = f["lalinference"]
 
 test_flat_prior.h0samps = a["lalinference_nest"]["nested_samples"]["H0"][:]
 
 test_flat_prior.bins
 
 test_flat_prior.range
 
 test_flat_prior.density
 
 test_flat_prior.nc = np.cumsum(n) * (nedges[1] - nedges[0])
 
 test_flat_prior.stat
 
 test_flat_prior.p
 
 test_flat_prior.fig
 
 test_flat_prior.ax
 
 test_flat_prior.cumulative
 
 test_flat_prior.histtype
 
 test_flat_prior.alpha