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-rw-r--r--doc/source/user/basics.types.rst2
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/basics.types.rst b/doc/source/user/basics.types.rst
index 64b6dcf50..a9e210c3a 100644
--- a/doc/source/user/basics.types.rst
+++ b/doc/source/user/basics.types.rst
@@ -270,7 +270,7 @@ Overflow Errors
The fixed size of NumPy numeric types may cause overflow errors when a value
requires more memory than available in the data type. For example,
-`numpy.power` evaluates ``100 * 10 ** 8`` correctly for 64-bit integers,
+`numpy.power` evaluates ``100 ** 8`` correctly for 64-bit integers,
but gives 1874919424 (incorrect) for a 32-bit integer.
>>> np.power(100, 8, dtype=np.int64)