Further review comments and errors fixed

include/openmc/math_functions.h

@@ -181,9 +181,8 @@ extern "C" double normal_variate(double mean, double std_dev);
 //! Samples an energy from the Muir (Gaussian) energy-dependent distribution.
 //!
 //! This is another form of the Gaussian distribution but with more easily 
+//! modifiable parameters
 //! https://permalink.lanl.gov/object/tr?what=info:lanl-repo/lareport/LA-05411-MS
-//!  
-//! modifyable parameters
 //!
 //! @param e0 peak neutron energy [eV]
 //! @param m_rat ratio of the fusion reactants to AMU

openmc/stats/univariate.py

@@ -312,8 +312,8 @@ class Normal(Univariate):
     r"""Normally distributed sampling.
 
     The Normal Distribution is characterized by two parameters
-    :math:`\mu` and :math:`\sigma` and has density function :math:
-    `p(X) dX = 1/\2*sigma\sqrt{\pi} * e^{(X-\mu/\2*sigma}`
+    :math:`\mu` and :math:`\sigma` and has density function 
+    :math:`p(X) dX = 1/\2*sigma\sqrt{\pi} * e^{(X-\mu/\2*sigma}`
 
     Parameters
     ----------

tests/unit_tests/test_math.py

@@ -4,6 +4,7 @@ import scipy as sp
 import openmc
 import openmc.capi
 
+import pytest
 
 def test_t_percentile():
     # Permutations include 1 DoF, 2 DoF, and > 2 DoF