Moritz Huebner: Removed unused prior functions

test/prior_tests.py

@@ -62,27 +62,6 @@ class TestPriorLatexLabel(unittest.TestCase):
         self.assertTrue(self.prior.latex_label, self.prior.name)
 
 
-class TestPriorIsFixed(unittest.TestCase):
-
-    def setUp(self):
-        pass
-
-    def tearDown(self):
-        pass
-
-    def test_is_fixed_parent_class(self):
-        self.prior = tupak.prior.Prior()
-        self.assertFalse(self.prior.is_fixed)
-
-    def test_is_fixed_delta_function_class(self):
-        self.prior = tupak.prior.DeltaFunction(peak=0)
-        self.assertTrue(self.prior.is_fixed)
-
-    def test_is_fixed_uniform_class(self):
-        self.prior = tupak.prior.Uniform(minimum=0, maximum=10)
-        self.assertFalse(self.prior.is_fixed)
-
-
 class TestFixMethod(unittest.TestCase):
 
     def setUp(self):

tupak/prior.py

@@ -359,13 +359,6 @@ class UniformComovingVolume(FromFile):
                           latex_label=latex_label)
 
 
-def fix(prior, value=None):
-    if value is None or np.isnan(value):
-        raise ValueError("You can't fix the value to be np.nan. You need to assign it a legal value")
-    prior = DeltaFunction(name=prior.name, latex_label=prior.latex_label, peak=value)
-    return prior
-
-
 def create_default_prior(name):
     """
     Make a default prior for a parameter with a known name.
@@ -409,27 +402,6 @@ def create_default_prior(name):
     return prior
 
 
-def parse_floats_to_fixed_priors(old_parameters):
-    parameters = old_parameters.copy()
-    for key in parameters:
-        if type(parameters[key]) is not float and type(parameters[key]) is not int \
-                and type(parameters[key]) is not Prior:
-            logging.info("Expected parameter " + str(key) + " to be a float or int but was "
-                         + str(type(parameters[key])) + " instead. Will not be converted.")
-            continue
-        elif type(parameters[key]) is Prior:
-            continue
-        parameters[key] = DeltaFunction(name=key, latex_label=None, peak=old_parameters[key])
-    return parameters
-
-
-def parse_keys_to_parameters(keys):
-    parameters = {}
-    for key in keys:
-        parameters[key] = create_default_prior(key)
-    return parameters
-
-
 def fill_priors(prior, waveform_generator):
     """
     Fill dictionary of priors based on required parameters of waveform generator