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-rw-r--r--numpy/core/include/numpy/ndarraytypes.h4
-rw-r--r--numpy/core/src/multiarray/common_dtype.c2
2 files changed, 3 insertions, 3 deletions
diff --git a/numpy/core/include/numpy/ndarraytypes.h b/numpy/core/include/numpy/ndarraytypes.h
index 14e3adfdb..d1acfdf26 100644
--- a/numpy/core/include/numpy/ndarraytypes.h
+++ b/numpy/core/include/numpy/ndarraytypes.h
@@ -858,8 +858,8 @@ typedef int (PyArray_FinalizeFunc)(PyArrayObject *, PyObject *);
#if defined(NPY_INTERNAL_BUILD) && NPY_INTERNAL_BUILD
/*
- * Dual use the ENSUREARRAY flag, to indicate that this was a converted
- * python float, int, or complex.
+ * Dual use of the ENSUREARRAY flag, to indicate that this was converted
+ * from a python float, int, or complex.
* An array using this flag must be a temporary array that can never
* leave the C internals of NumPy. Even if it does, ENSUREARRAY is
* absolutely safe to abuse, since it already is a base class array :).
diff --git a/numpy/core/src/multiarray/common_dtype.c b/numpy/core/src/multiarray/common_dtype.c
index 0db368df1..a88085f6f 100644
--- a/numpy/core/src/multiarray/common_dtype.c
+++ b/numpy/core/src/multiarray/common_dtype.c
@@ -16,7 +16,7 @@
* operations. This is unfortunately surprisingly complicated to get right
* due to the value based logic NumPy uses and the fact that NumPy has
* no clear (non-transitive) type promotion hierarchy.
- * Unlike most languages `int32 + float2 -> float64` instead of `float2`.
+ * Unlike most languages `int32 + float32 -> float64` instead of `float32`.
* The other complicated thing is value-based-promotion, which means that
* in many cases a Python 1, may end up as an `int8` or `uint8`.
*