Fix NumPy capitalization in comments

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)
 

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"]:

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
 """

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: