adding changes to other files so that they call ptmcmc

bilby/core/prior.py

@@ -280,7 +280,6 @@ def create_default_prior(name, default_priors_file=None):
             prior = None
     return prior
 
-
 class Prior(object):
     _default_latex_labels = dict()
 

bilby/core/sampler/__init__.py

@@ -12,13 +12,14 @@ from .dynesty import Dynesty
 from .emcee import Emcee
 from .nestle import Nestle
 from .ptemcee import Ptemcee
+from .ptmcmc import PTMCMCSampler
 from .pymc3 import Pymc3
 from .pymultinest import Pymultinest
-from .ptmcmc import PTMCMCSampler
 
 implemented_samplers = {
     'cpnest': Cpnest, 'dynesty': Dynesty, 'emcee': Emcee, 'nestle': Nestle,
-    'ptemcee': Ptemcee, 'pymc3': Pymc3, 'pymultinest': Pymultinest , 'ptmcmcsampler' : PTMCMCSampler}
+    'ptemcee': Ptemcee,'ptmcmcsampler' : PTMCMCSampler,
+    'pymc3': Pymc3, 'pymultinest': Pymultinest }
 
 if command_line_args.sampler_help:
     sampler = command_line_args.sampler_help

bilby/core/sampler/base_sampler.py

@@ -142,14 +142,14 @@ class Sampler(object):
         pass
 
     def _verify_external_sampler(self):
-        external_sampler_name = self.__class__.__name__
-        print(external_sampler_name)
+        external_sampler_name = self.__class__.__name__.lower()
         try:
             self.external_sampler = __import__(external_sampler_name)
-        except (ImportError, SystemExit, ModuleNotFoundError):
+        except (ImportError, SystemExit):
             raise SamplerNotInstalledError(
                 "Sampler {} is not installed on this system".format(external_sampler_name))
 
+
     def _verify_kwargs_against_default_kwargs(self):
         """
         Check if the kwargs are contained in the list of available arguments

bilby/core/sampler/emcee.py

@@ -109,7 +109,6 @@ class Emcee(MCMCSampler):
         tqdm = get_progress_bar()
         sampler = emcee.EnsembleSampler(dim=self.ndim, lnpostfn=self.lnpostfn, **self.sampler_init_kwargs)
         self._set_pos0()
-        print(self.nsteps)
         for _ in tqdm(sampler.sample(p0=self.pos0, **self.sampler_function_kwargs),
                       total=self.nsteps):
             pass