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authorSaJH <wogur981208@gmail.com>2025-08-26 00:50:53 +0900
committerSarah Boyce <42296566+sarahboyce@users.noreply.github.com>2025-08-28 08:52:43 +0200
commit3c0c54351b58e9386375d2bd7a8c60dadc4bb6e8 (patch)
tree38a78ca516fc998ae29818fa7950af5278bc7c9b /docs/topics/performance.txt
parent1285de557b0b8b9c5ebe5de0114b2da5abe60f80 (diff)
Fixed #36570 -- Removed unnecessary :py domain from documentation roles.
Signed-off-by: SaJH <wogur981208@gmail.com>
Diffstat (limited to 'docs/topics/performance.txt')
-rw-r--r--docs/topics/performance.txt2
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/topics/performance.txt b/docs/topics/performance.txt
index 042c09f8d3..dcffb1a683 100644
--- a/docs/topics/performance.txt
+++ b/docs/topics/performance.txt
@@ -204,7 +204,7 @@ therefore have performance implications, and the more expensive the work
concerned, the more there is to gain through laziness.
Python provides a number of tools for lazy evaluation, particularly through the
-:py:term:`generator` and :py:term:`generator expression` constructs. It's worth
+:term:`generator` and :term:`generator expression` constructs. It's worth
reading up on laziness in Python to discover opportunities for making use of
lazy patterns in your code.