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authorDamien George <damien@micropython.org>2023-10-03 11:24:50 +1100
committerDamien George <damien@micropython.org>2023-10-03 11:24:50 +1100
commitcf490a70917a1b2d38ba9b58e763e0837d0f7ca7 (patch)
treefd460c9323dd46b4466193fc56dc319cbf717c77 /docs
parent9d5d2e8cf71321b4ba41bad127bf0ea0ff24ccbf (diff)
downloadmicropython-cf490a70917a1b2d38ba9b58e763e0837d0f7ca7.tar.gz
micropython-cf490a70917a1b2d38ba9b58e763e0837d0f7ca7.zip
all: Fix various spelling mistakes found by codespell 2.2.6.
Signed-off-by: Damien George <damien@micropython.org>
Diffstat (limited to 'docs')
-rw-r--r--docs/library/espnow.rst2
-rw-r--r--docs/library/wm8960.rst2
-rw-r--r--docs/reference/glossary.rst2
3 files changed, 3 insertions, 3 deletions
diff --git a/docs/library/espnow.rst b/docs/library/espnow.rst
index f344983700..f0b592dffc 100644
--- a/docs/library/espnow.rst
+++ b/docs/library/espnow.rst
@@ -287,7 +287,7 @@ after reboot/reset). This reduces the reliability of receiving ESP-NOW messages
.. method:: ESPNow.irecv([timeout_ms])
- Works like `ESPNow.recv()` but will re-use internal bytearrays to store the
+ Works like `ESPNow.recv()` but will reuse internal bytearrays to store the
return values: ``[mac, msg]``, so that no new memory is allocated on each
call.
diff --git a/docs/library/wm8960.rst b/docs/library/wm8960.rst
index add003630e..5abfb6a8a0 100644
--- a/docs/library/wm8960.rst
+++ b/docs/library/wm8960.rst
@@ -251,7 +251,7 @@ controlling its operation:
.. method:: WM8960.expand_3d(level)
- Enable Stereo 3D exansion. *level* is a number between 0 and 15.
+ Enable Stereo 3D expansion. *level* is a number between 0 and 15.
A value of 0 disables the expansion.
.. method:: WM8960.mono(active)
diff --git a/docs/reference/glossary.rst b/docs/reference/glossary.rst
index d039bf7132..efaa8f607f 100644
--- a/docs/reference/glossary.rst
+++ b/docs/reference/glossary.rst
@@ -32,7 +32,7 @@ Glossary
callee-owned tuple
This is a MicroPython-specific construct where, for efficiency
- reasons, some built-in functions or methods may re-use the same
+ reasons, some built-in functions or methods may reuse the same
underlying tuple object to return data. This avoids having to allocate
a new tuple for every call, and reduces heap fragmentation. Programs
should not hold references to callee-owned tuples and instead only