Remove print(result) from examples

examples/injection_examples/basic_tutorial.py

@@ -74,4 +74,4 @@ result = tupak.run_sampler(likelihood=likelihood, priors=priors, sampler='dynest
 
 # make some plots of the outputs
 result.plot_corner()
-print(result)
+

examples/injection_examples/basic_tutorial_dist_time_phase_marg.py

@@ -71,4 +71,4 @@ result = tupak.run_sampler(likelihood=likelihood, priors=priors, sampler='dynest
 
 # make some plots of the outputs
 result.plot_corner()
-print(result)
+

examples/injection_examples/basic_tutorial_time_phase_marg.py

@@ -70,4 +70,4 @@ result = tupak.run_sampler(likelihood=likelihood, priors=priors, sampler='dynest
 
 # make some plots of the outputs
 result.plot_corner()
-print(result)
+

examples/injection_examples/change_sampled_parameters.py

@@ -58,4 +58,4 @@ result = tupak.core.sampler.run_sampler(likelihood=likelihood, priors=priors, sa
                                         injection_parameters=injection_parameters, label='DifferentParameters',
                                         outdir=outdir, conversion_function=tupak.gw.conversion.generate_all_bbh_parameters)
 result.plot_corner()
-print(result)
+

examples/injection_examples/create_your_own_source_model.py

@@ -51,4 +51,4 @@ result = tupak.core.sampler.run_sampler(
     likelihood, prior, sampler='dynesty', outdir=outdir, label=label,
     resume=False, sample='unif', injection_parameters=injection_parameters)
 result.plot_corner()
-print(result)
+

examples/injection_examples/create_your_own_time_domain_source_model.py

@@ -72,4 +72,4 @@ result = tupak.core.sampler.run_sampler(likelihood, prior, sampler='dynesty', np
                                         outdir=outdir, label=label)
 
 result.plot_corner()
-print(result)
+

examples/injection_examples/how_to_specify_the_prior.py

@@ -64,4 +64,4 @@ likelihood = tupak.GravitationalWaveTransient(interferometers=IFOs, waveform_gen
 result = tupak.run_sampler(likelihood=likelihood, priors=priors, sampler='dynesty',
                            injection_parameters=injection_parameters, outdir=outdir, label='specify_prior')
 result.plot_corner()
-print(result)
+

examples/injection_examples/marginalized_likelihood.py

@@ -50,4 +50,4 @@ likelihood = tupak.GravitationalWaveTransient(
 result = tupak.run_sampler(likelihood=likelihood, priors=priors, sampler='dynesty',
                            injection_parameters=injection_parameters, outdir=outdir, label='BasicTutorial')
 result.plot_corner()
-print(result)
+

examples/injection_examples/sine_gaussian_example.py

@@ -63,7 +63,7 @@ result = tupak.core.sampler.run_sampler(likelihood=likelihood, priors=priors, sa
 
 # make some plots of the outputs
 result.plot_corner()
-print(result)
+
 
 
 

examples/open_data_examples/GW150914.py

@@ -51,4 +51,4 @@ likelihood = tupak.gw.likelihood.GravitationalWaveTransient(interferometers, wav
 result = tupak.run_sampler(likelihood, prior, sampler='dynesty',
                            outdir=outdir, label=label)
 result.plot_corner()
-print(result)
+

examples/other_examples/gaussian_example.py

@@ -47,10 +47,10 @@ class SimpleGaussianLikelihood(tupak.Likelihood):
 likelihood = SimpleGaussianLikelihood(data)
 priors = dict(mu=tupak.core.prior.Uniform(0, 5, 'mu'),
               sigma=tupak.core.prior.Uniform(0, 10, 'sigma'))
+priors['mu'] = 1
 
 # And run sampler
 result = tupak.run_sampler(
     likelihood=likelihood, priors=priors, sampler='dynesty', npoints=500,
     walks=10, outdir=outdir, label=label)
 result.plot_corner()
-print(result)

examples/other_examples/linear_regression.py

@@ -101,4 +101,3 @@ result = tupak.run_sampler(
     walks=10, injection_parameters=injection_parameters, outdir=outdir,
     label=label)
 result.plot_corner()
-print(result)

examples/other_examples/linear_regression_unknown_noise.py

@@ -110,4 +110,3 @@ result = tupak.run_sampler(
     walks=10, injection_parameters=injection_parameters, outdir=outdir,
     label=label)
 result.plot_corner()
-print(result)