From d86609b40211347a61e0403810e9b62aceb19dac Mon Sep 17 00:00:00 2001
From: mhostetter <matthostetter@gmail.com>
Date: Thu, 24 Mar 2022 12:26:19 -0400
Subject: [PATCH] Fix NumPy capitalization in comments

---
 galois/_fields/_linalg.py            | 4 ++--
 galois/_fields/_main.py              | 8 ++++----
 tests/fields/test_numpy_functions.py | 2 +-
 tests/helper.py                      | 2 +-
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/galois/_fields/_linalg.py b/galois/_fields/_linalg.py
index f4bdc7fb2..4762a8654 100644
--- a/galois/_fields/_linalg.py
+++ b/galois/_fields/_linalg.py
@@ -33,7 +33,7 @@ def _lapack_linalg(a, b, function, out=None, n_sum=None):
     a = a.astype(dtype)
     b = b.astype(dtype)
 
-    # Compute result using native numpy LAPACK/BLAS implementation
+    # Compute result using native NumPy LAPACK/BLAS implementation
     if function in [np.inner, np.vdot]:
         # These functions don't have and `out` keyword argument
         c = function(a, b)
@@ -88,7 +88,7 @@ def vdot(a, b):
         return _lapack_linalg(a, b, np.vdot)
 
     a = a.flatten()
-    b = b.flatten().reshape(a.shape)  # This is done to mimic numpy's error scenarios
+    b = b.flatten().reshape(a.shape)  # This is done to mimic NumPy's error scenarios
 
     return np.sum(a * b)
 
diff --git a/galois/_fields/_main.py b/galois/_fields/_main.py
index d13c28e0b..0c3d46868 100644
--- a/galois/_fields/_main.py
+++ b/galois/_fields/_main.py
@@ -1144,7 +1144,7 @@ def _get_dtype(cls, dtype):
         if dtype is None:
             return cls.dtypes[0]
 
-        # Convert "dtype" to a numpy dtype. This does platform specific conversion, if necessary.
+        # Convert "dtype" to a NumPy dtype. This does platform specific conversion, if necessary.
         # For example, np.dtype(int) == np.int64 (on some systems).
         dtype = np.dtype(dtype)
         if dtype not in cls.dtypes:
@@ -1217,14 +1217,14 @@ def _check_array_types_dtype_object(cls, array):
             return array
         if array.ndim == 0:
             if not isinstance(array[()], (int, np.integer, FieldArray)):
-                raise TypeError(f"When {cls.name} arrays are created/assigned with a numpy array with `dtype=object`, each element must be an integer. Found type {type(array[()])}.")
+                raise TypeError(f"When {cls.name} arrays are created/assigned with a NumPy array with `dtype=object`, each element must be an integer. Found type {type(array[()])}.")
             return int(array)
 
         iterator = np.nditer(array, flags=["multi_index", "refs_ok"])
         for _ in iterator:
             a = array[iterator.multi_index]
             if not isinstance(a, (int, np.integer, FieldArray)):
-                raise TypeError(f"When {cls.name} arrays are created/assigned with a numpy array with `dtype=object`, each element must be an integer. Found type {type(a)}.")
+                raise TypeError(f"When {cls.name} arrays are created/assigned with a NumPy array with `dtype=object`, each element must be an integer. Found type {type(a)}.")
 
             # Ensure the type is int so dtype=object classes don't get all mixed up
             array[iterator.multi_index] = int(a)
@@ -2430,7 +2430,7 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
             return getattr(field, field._OVERRIDDEN_UFUNCS[ufunc])(ufunc, method, inputs, kwargs, meta)
 
         elif ufunc in field._UNSUPPORTED_UFUNCS:
-            raise NotImplementedError(f"The numpy ufunc {ufunc.__name__!r} is not supported on {field.name} arrays. If you believe this ufunc should be supported, please submit a GitHub issue at https://github.com/mhostetter/galois/issues.")
+            raise NotImplementedError(f"The NumPy ufunc {ufunc.__name__!r} is not supported on {field.name} arrays. If you believe this ufunc should be supported, please submit a GitHub issue at https://github.com/mhostetter/galois/issues.")
 
         else:
             if ufunc in [np.bitwise_and, np.bitwise_or, np.bitwise_xor] and method not in ["reduce", "accumulate", "at", "reduceat"]:
diff --git a/tests/fields/test_numpy_functions.py b/tests/fields/test_numpy_functions.py
index 6f6f6f3ae..33b0f7aca 100644
--- a/tests/fields/test_numpy_functions.py
+++ b/tests/fields/test_numpy_functions.py
@@ -1,5 +1,5 @@
 """
-A pytest module to test numpy methods, both supported and unsupported.
+A pytest module to test NumPy methods, both supported and unsupported.
 Numpy methods are selected from this API reference:
 https://numpy.org/doc/stable/reference/routines.array-manipulation.html
 """
diff --git a/tests/helper.py b/tests/helper.py
index 3c5bcbf5e..1c5fe22f0 100644
--- a/tests/helper.py
+++ b/tests/helper.py
@@ -4,7 +4,7 @@
 
 
 def array_equal(a, b):
-    # Weird numpy comparison bug, see https://github.com/mhostetter/galois/issues/37
+    # Weird NumPy comparison bug, see https://github.com/mhostetter/galois/issues/37
     if a.dtype == np.object_:
         return np.array_equal(a, np.array(b, dtype=np.object_))
     else: