Tried this:

pip install blacken-docs
blacken-docs docs/*.rst
git diff | pbcopy

Got this:

 diff --git a/docs/authentication.rst b/docs/authentication.rst
index 0d98cf8..8008023 100644
--- a/docs/authentication.rst
+++ b/docs/authentication.rst
@@ -381,11 +381,7 @@ Authentication plugins can set signed ``ds_actor`` cookies themselves like so:
 .. code-block:: python
 
     response = Response.redirect("/")
-    response.set_cookie("ds_actor", datasette.sign({
-        "a": {
-            "id": "cleopaws"
-        }
-    }, "actor"))
+    response.set_cookie("ds_actor", datasette.sign({"a": {"id": "cleopaws"}}, "actor"))
 
 Note that you need to pass ``"actor"`` as the namespace to :ref:`datasette_sign`.
 
@@ -412,12 +408,16 @@ To include an expiry, add a ``"e"`` key to the cookie value containing a `base62
     expires_at = int(time.time()) + (24 * 60 * 60)
 
     response = Response.redirect("/")
-    response.set_cookie("ds_actor", datasette.sign({
-        "a": {
-            "id": "cleopaws"
-        },
-        "e": baseconv.base62.encode(expires_at),
-    }, "actor"))
+    response.set_cookie(
+        "ds_actor",
+        datasette.sign(
+            {
+                "a": {"id": "cleopaws"},
+                "e": baseconv.base62.encode(expires_at),
+            },
+            "actor",
+        ),
+    )
 
 The resulting cookie will encode data that looks something like this:
 
diff --git a/docs/spatialite.rst b/docs/spatialite.rst
index d1b300b..556bad8 100644
--- a/docs/spatialite.rst
+++ b/docs/spatialite.rst
@@ -58,19 +58,22 @@ Here's a recipe for taking a table with existing latitude and longitude columns,
 .. code-block:: python
 
     import sqlite3
-    conn = sqlite3.connect('museums.db')
+
+    conn = sqlite3.connect("museums.db")
     # Lead the spatialite extension:
     conn.enable_load_extension(True)
-    conn.load_extension('/usr/local/lib/mod_spatialite.dylib')
+    conn.load_extension("/usr/local/lib/mod_spatialite.dylib")
     # Initialize spatial metadata for this database:
-    conn.execute('select InitSpatialMetadata(1)')
+    conn.execute("select InitSpatialMetadata(1)")
     # Add a geometry column called point_geom to our museums table:
     conn.execute("SELECT AddGeometryColumn('museums', 'point_geom', 4326, 'POINT', 2);")
     # Now update that geometry column with the lat/lon points
-    conn.execute('''
+    conn.execute(
+        """
         UPDATE museums SET
         point_geom = GeomFromText('POINT('||"longitude"||' '||"latitude"||')',4326);
-    ''')
+    """
+    )
     # Now add a spatial index to that column
     conn.execute('select CreateSpatialIndex("museums", "point_geom");')
     # If you don't commit your changes will not be persisted:
@@ -186,13 +189,14 @@ Here's Python code to create a SQLite database, enable SpatiaLite, create a plac
 .. code-block:: python
 
     import sqlite3
-    conn = sqlite3.connect('places.db')
+
+    conn = sqlite3.connect("places.db")
     # Enable SpatialLite extension
     conn.enable_load_extension(True)
-    conn.load_extension('/usr/local/lib/mod_spatialite.dylib')
+    conn.load_extension("/usr/local/lib/mod_spatialite.dylib")
     # Create the masic countries table
-    conn.execute('select InitSpatialMetadata(1)')
-    conn.execute('create table places (id integer primary key, name text);')
+    conn.execute("select InitSpatialMetadata(1)")
+    conn.execute("create table places (id integer primary key, name text);")
     # Add a MULTIPOLYGON Geometry column
     conn.execute("SELECT AddGeometryColumn('places', 'geom', 4326, 'MULTIPOLYGON', 2);")
     # Add a spatial index against the new column
@@ -201,13 +205,17 @@ Here's Python code to create a SQLite database, enable SpatiaLite, create a plac
     from shapely.geometry.multipolygon import MultiPolygon
     from shapely.geometry import shape
     import requests
-    geojson = requests.get('https://data.whosonfirst.org/404/227/475/404227475.geojson').json()
+
+    geojson = requests.get(
+        "https://data.whosonfirst.org/404/227/475/404227475.geojson"
+    ).json()
     # Convert to "Well Known Text" format
-    wkt = shape(geojson['geometry']).wkt
+    wkt = shape(geojson["geometry"]).wkt
     # Insert and commit the record
-    conn.execute("INSERT INTO places (id, name, geom) VALUES(null, ?, GeomFromText(?, 4326))", (
-       "Wales", wkt
-    ))
+    conn.execute(
+        "INSERT INTO places (id, name, geom) VALUES(null, ?, GeomFromText(?, 4326))",
+        ("Wales", wkt),
+    )
     conn.commit()
 
 Querying polygons using within()
diff --git a/docs/writing_plugins.rst b/docs/writing_plugins.rst
index bd60a4b..5af01f6 100644
--- a/docs/writing_plugins.rst
+++ b/docs/writing_plugins.rst
@@ -18,9 +18,10 @@ The quickest way to start writing a plugin is to create a ``my_plugin.py`` file
 
     from datasette import hookimpl
 
+
     @hookimpl
     def prepare_connection(conn):
-        conn.create_function('hello_world', 0, lambda: 'Hello world!')
+        conn.create_function("hello_world", 0, lambda: "Hello world!")
 
 If you save this in ``plugins/my_plugin.py`` you can then start Datasette like this::
 
@@ -60,22 +61,18 @@ The example consists of two files: a ``setup.py`` file that defines the plugin:
 
     from setuptools import setup
 
-    VERSION = '0.1'
+    VERSION = "0.1"
 
     setup(
-        name='datasette-plugin-demos',
-        description='Examples of plugins for Datasette',
-        author='Simon Willison',
-        url='https://github.com/simonw/datasette-plugin-demos',
-        license='Apache License, Version 2.0',
+        name="datasette-plugin-demos",
+        description="Examples of plugins for Datasette",
+        author="Simon Willison",
+        url="https://github.com/simonw/datasette-plugin-demos",
+        license="Apache License, Version 2.0",
         version=VERSION,
-        py_modules=['datasette_plugin_demos'],
-        entry_points={
-            'datasette': [
-                'plugin_demos = datasette_plugin_demos'
-            ]
-        },
-        install_requires=['datasette']
+        py_modules=["datasette_plugin_demos"],
+        entry_points={"datasette": ["plugin_demos = datasette_plugin_demos"]},
+        install_requires=["datasette"],
     )
 
 And a Python module file, ``datasette_plugin_demos.py``, that implements the plugin:
@@ -88,12 +85,12 @@ And a Python module file, ``datasette_plugin_demos.py``, that implements the plu
 
     @hookimpl
     def prepare_jinja2_environment(env):
-        env.filters['uppercase'] = lambda u: u.upper()
+        env.filters["uppercase"] = lambda u: u.upper()
 
 
     @hookimpl
     def prepare_connection(conn):
-        conn.create_function('random_integer', 2, random.randint)
+        conn.create_function("random_integer", 2, random.randint)
 
 
 Having built a plugin in this way you can turn it into an installable package using the following command::
@@ -123,11 +120,13 @@ To bundle the static assets for a plugin in the package that you publish to PyPI
 
 .. code-block:: python
 
-        package_data={
-            'datasette_plugin_name': [
-                'static/plugin.js',
-            ],
-        },
+        package_data = (
+            {
+                "datasette_plugin_name": [
+                    "static/plugin.js",
+                ],
+            },
+        )
 
 Where ``datasette_plugin_name`` is the name of the plugin package (note that it uses underscores, not hyphens) and ``static/plugin.js`` is the path within that package to the static file.
 
@@ -152,11 +151,13 @@ Templates should be bundled for distribution using the same ``package_data`` mec
 
 .. code-block:: python
 
-        package_data={
-            'datasette_plugin_name': [
-                'templates/my_template.html',
-            ],
-        },
+        package_data = (
+            {
+                "datasette_plugin_name": [
+                    "templates/my_template.html",
+                ],
+            },
+        )
 
 You can also use wildcards here such as ``templates/*.html``. See `datasette-edit-schema <https://github.com/simonw/datasette-edit-schema>`__ for an example of this pattern.

Uh oh!

Code examples in the documentation should be formatted with Black #1718

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