Remove obsolete calls to setup_logger()

examples/injection_examples/create_your_own_source_model.py

@@ -7,7 +7,6 @@ import tupak
 import numpy as np
 
 # First set up logging and some output directories and labels
-tupak.core.utils.setup_logger()
 outdir = 'outdir'
 label = 'create_your_own_source_model'
 sampling_frequency = 4096

examples/injection_examples/create_your_own_time_domain_source_model.py

@@ -8,7 +8,6 @@ and then recovered.
 import tupak
 import numpy as np
 
-tupak.core.utils.setup_logger()
 
 
 # define the time-domain model

examples/injection_examples/how_to_specify_the_prior.py

@@ -8,7 +8,6 @@ import numpy as np
 
 import tupak.gw.prior
 
-tupak.core.utils.setup_logger()
 
 time_duration = 4.
 sampling_frequency = 2048.

examples/injection_examples/marginalized_likelihood.py

@@ -7,7 +7,6 @@ from __future__ import division, print_function
 import tupak
 import numpy as np
 
-tupak.core.utils.setup_logger()
 
 time_duration = 4.
 sampling_frequency = 2048.

examples/other_examples/gaussian_example.py

@@ -8,7 +8,6 @@ import tupak
 import numpy as np
 
 # A few simple setup steps
-tupak.core.utils.setup_logger()
 label = 'gaussian_example'
 outdir = 'outdir'
 
@@ -47,10 +46,10 @@ 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.posterior.head()

examples/other_examples/hyper_parameter_example.py

@@ -8,7 +8,6 @@ import numpy as np
 import inspect
 import matplotlib.pyplot as plt
 
-tupak.core.utils.setup_logger()
 outdir = 'outdir'
 
 

examples/other_examples/linear_regression.py

@@ -12,7 +12,6 @@ import matplotlib.pyplot as plt
 import inspect
 
 # A few simple setup steps
-tupak.core.utils.setup_logger()
 label = 'linear_regression'
 outdir = 'outdir'
 

examples/other_examples/linear_regression_unknown_noise.py

@@ -11,7 +11,6 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 # A few simple setup steps
-tupak.core.utils.setup_logger()
 label = 'linear_regression_unknown_noise'
 outdir = 'outdir'