Further fix to encapsulation functions

- Fixes bug in which the arguments here not converted to floats
- Fixes typo in lamda1 -> lambda2

bilby/gw/utils.py

@@ -596,21 +596,25 @@ def plot_skymap(result, center='120d -40d', nside=512):
     fig.savefig('{}/{}_skymap.png'.format(result.outdir, result.label))
 
 
+def convert_args_list_to_float(*args_list):
+    """ Converts inputs to floats, returns a list in the same order as the input"""
+    try:
+        args_list = [float(arg) for arg in args_list]
+    except ValueError:
+        raise ValueError("Unable to convert inputs to floats")
+    return args_list
+
+
 def lalsim_SimInspiralTransformPrecessingNewInitialConditions(
         theta_jn, phi_jl, tilt_1, tilt_2, phi_12, a_1, a_2, mass_1, mass_2,
         reference_frequency, phase):
 
-    for arg in (theta_jn, phi_jl, tilt_1, tilt_2, phi_12, a_1, a_2, mass_1,
-                mass_2, reference_frequency, phase):
-        try:
-            arg = float(arg)
-        except ValueError:
-            raise ValueError("Unable to convert inputs to floats")
-
-    return lalsim.SimInspiralTransformPrecessingNewInitialConditions(
+    args_list = convert_args_list_to_float(
         theta_jn, phi_jl, tilt_1, tilt_2, phi_12, a_1, a_2, mass_1, mass_2,
         reference_frequency, phase)
 
+    return lalsim.SimInspiralTransformPrecessingNewInitialConditions(*args_list)
+
 
 def lalsim_GetApproximantFromString(waveform_approximant):
     if isinstance(waveform_approximant, str):
@@ -626,15 +630,15 @@ def lalsim_SimInspiralChooseFDWaveform(
         minimum_frequency, maximum_frequency, reference_frequency,
         waveform_dictionary, approximant):
 
-    for arg in (mass_1, mass_2, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y,
-                spin_2z, luminosity_distance, iota, phase,
-                longitude_ascending_nodes, eccentricity, mean_per_ano,
-                delta_frequency, minimum_frequency, maximum_frequency,
-                reference_frequency):
-            try:
-                arg = float(arg)
-            except ValueError:
-                raise ValueError("Unable to convert inputs to floats")
+    # Convert values to floats
+    [mass_1, mass_2, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z,
+     luminosity_distance, iota, phase, longitude_ascending_nodes,
+     eccentricity, mean_per_ano, delta_frequency, minimum_frequency,
+     maximum_frequency, reference_frequency] = convert_args_list_to_float(
+        mass_1, mass_2, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z,
+        luminosity_distance, iota, phase, longitude_ascending_nodes,
+        eccentricity, mean_per_ano, delta_frequency, minimum_frequency,
+        maximum_frequency, reference_frequency)
 
     # Note, this is the approximant number returns by GetApproximantFromString
     if isinstance(approximant, int) is False:
@@ -662,9 +666,9 @@ def lalsim_SimInspiralWaveformParamsInsertTidalLambda1(
 def lalsim_SimInspiralWaveformParamsInsertTidalLambda2(
         waveform_dictionary, lambda_2):
     try:
-        lambda_1 = float(lambda_2)
+        lambda_2 = float(lambda_2)
     except ValueError:
         raise ValueError("Unable to convert lambda_2 to float")
 
-    return lalsim.SimInspiralWaveformParamsInsertTidalLambda1(
-        waveform_dictionary, lambda_1)
+    return lalsim.SimInspiralWaveformParamsInsertTidalLambda2(
+        waveform_dictionary, lambda_2)