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-rw-r--r--doc/release/upcoming_changes/22539.deprecation.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/release/upcoming_changes/22539.deprecation.rst b/doc/release/upcoming_changes/22539.deprecation.rst
index 2c4dabf8f..a31497fd0 100644
--- a/doc/release/upcoming_changes/22539.deprecation.rst
+++ b/doc/release/upcoming_changes/22539.deprecation.rst
@@ -8,12 +8,12 @@ faster and more robust.
When not using ``scalar_types`` the only difference is that the replacement
intentionally converts non-native byte-order to native byte order.
-When the second argument is used things are more complicated.
+When the ``scalar_types`` argument is not ``[]`` things are more complicated.
In most cases, using ``np.result_type`` and passing the Python values
``0``, ``0.0``, or ``0j`` has the same result as using ``int``, ``float``,
or ``complex`` in `scalar_types`.
-When ``scalar_types`` is constructed, ``npy.result_type`` is the
+When ``scalar_types`` is constructed, ``np.result_type`` is the
correct replacement and it may be passed scalar values like ``np.float32(0.0)``.
Passing values other than 0, may lead to value-inspecting behavior
(which ``np.find_common_type`` never used and NEP 50 may change in the future).