remove unused kwargs warning for samplers; update tests_samplers

prospect/fitting/nested.py

@@ -104,8 +104,8 @@ def run_nested_sampler(model,
         **{key: kwargs[key] for key in sig.kwargs.keys() & kwargs.keys()},
         **run_kwargs}
     run_return = sampler_run(*run_args, **run_kwargs)
-    for key in kwargs.keys() - (init_kwargs.keys() | run_kwargs.keys()):
-        warnings.warn(f"Key '{key}' not recognized by the sampler.")
+    #for key in kwargs.keys() - (init_kwargs.keys() | run_kwargs.keys()):
+    #    warnings.warn(f"Key '{key}' not recognized by the sampler.")
 
     if nested_sampler == 'nautilus':
         obj = sampler

tests/tests_samplers.py

@@ -11,7 +11,6 @@
 from prospect.models import SpecModel, templates
 from prospect.observation import Photometry
 from prospect.fitting import fit_model
-from prospect.fitting.nested import parse_nested_kwargs
 from prospect.io.write_results import write_hdf5
 from prospect.io.read_results import results_from
 
@@ -69,12 +68,6 @@ def build_obs(**kwargs):
     run_params = vars(args)
     run_params["param_file"] = __file__
 
-    # test the parsing
-    run_params["nested_sampler"] = "dynesty"
-    nr, ns = parse_nested_kwargs(**run_params)
-    print(nr)
-    print(ns)
-
     # build stuff
     model = build_model()
     obs = build_obs()
@@ -120,4 +113,5 @@ def build_obs(**kwargs):
                                 axes,
                                 color=color,
                                 weights= np.exp(out["log_weight"]),
-                                show_titles=True)
+                                show_titles=True)
+    cfig.savefig("sampler_test_corner.png")