From c6b9d56e227bd8467125c415349933ba9d7c541f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 7 Sep 2026 22:26:06 +0000
Subject: [PATCH 1/2] ci(pre-commit.ci): autoupdate
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

updates:
- [github.com/abravalheri/validate-pyproject: v0.25 → 0.26](https://github.com/abravalheri/validate-pyproject/compare/v0.25...0.26)
- [github.com/adhtruong/mirrors-typos: v1.48.0 → v1.50.1](https://github.com/adhtruong/mirrors-typos/compare/v1.48.0...v1.50.1)
- [github.com/astral-sh/ruff-pre-commit: v0.16.1 → v0.16.6](https://github.com/astral-sh/ruff-pre-commit/compare/v0.16.1...v0.16.6)
- [github.com/pre-commit/mirrors-mypy: v2.3.0 → v2.3.1](https://github.com/pre-commit/mirrors-mypy/compare/v2.3.0...v2.3.1)
---
 .pre-commit-config.yaml | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index e77c6ee2..b396a4cf 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -15,25 +15,25 @@ repos:
       - id: check-added-large-files
 
   - repo: https://github.com/abravalheri/validate-pyproject
-    rev: v0.25
+    rev: '0.26'
     hooks:
       - id: validate-pyproject
 
   - repo: https://github.com/adhtruong/mirrors-typos
-    rev: v1.48.0
+    rev: v1.50.1
     hooks:
       - id: typos
         args: [--force-exclude] # omitting --write-changes
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.16.1
+    rev: v0.16.6
     hooks:
       - id: ruff-check
         args: [--fix, --unsafe-fixes]
       - id: ruff-format
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v2.3.0
+    rev: v2.3.1
     hooks:
       - id: mypy
         files: "^src/"

From 22cbfdfbf900fc5eb6220426e2e2c6c7a8a9c21a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 7 Sep 2026 22:28:50 +0000
Subject: [PATCH 2/2] style(pre-commit.ci): auto fixes [...]

---
 docs/cookbook/embedding.md | 4 ++--
 docs/cookbook/streaming.md | 4 ++--
 docs/usage.md              | 1 +
 3 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/docs/cookbook/embedding.md b/docs/cookbook/embedding.md
index 40d7214c..4e2e18d2 100644
--- a/docs/cookbook/embedding.md
+++ b/docs/cookbook/embedding.md
@@ -14,7 +14,7 @@ The following script shows an example on how to dynamically select a data set
 and load it in the `ArrayViewer`.
 
 ````python title="examples/cookbook/ndv_embedded.py"
---8<-- "examples/cookbook/ndv_embedded.py"
+--8 < --"examples/cookbook/ndv_embedded.py"
 ````
 
 {{ screenshot: examples/cookbook/ndv_embedded.py }}
@@ -26,7 +26,7 @@ The following script shows an example on how to create multiple instances of the
 each one.
 
 ````python title="examples/cookbook/multi_ndv.py"
---8<-- "examples/cookbook/multi_ndv.py"
+--8 < --"examples/cookbook/multi_ndv.py"
 ````
 
 {{ screenshot: examples/cookbook/multi_ndv.py }}
diff --git a/docs/cookbook/streaming.md b/docs/cookbook/streaming.md
index 7d7b279a..8cc0902f 100644
--- a/docs/cookbook/streaming.md
+++ b/docs/cookbook/streaming.md
@@ -13,7 +13,7 @@ update the buffer in place with the new data. Calling `update()` on the
 will force the display to fetch your new data:
 
 ````python title="examples/streaming.py"
---8<-- "examples/streaming.py"
+--8 < --"examples/streaming.py"
 ````
 
 ## Streaming, remembering the last N frames
@@ -24,5 +24,5 @@ you can use the [`ndv.models.RingBuffer`][] class.  It offers a convenient
 shape of the data (as far as the viewer is concerned):
 
 ````python title="examples/streaming_with_history.py"
---8<-- "examples/streaming_with_history.py"
+--8 < --"examples/streaming_with_history.py"
 ````
diff --git a/docs/usage.md b/docs/usage.md
index d46d00d6..9e56c71e 100644
--- a/docs/usage.md
+++ b/docs/usage.md
@@ -273,6 +273,7 @@ subclassing [`DataWrapper`][ndv.DataWrapper]:
 ```python
 import ndv
 
+
 class MyWrapper(ndv.DataWrapper):
     @classmethod
     def supports(cls, data):