Add support for Python type parameter lists

Sphinx has partial support for type parameter lists: they are supported
by the Python domain in signatures, but are not supported by autodoc.

This adds the following support:

- Sphinx Python domain for type parameter fields in docstrings, with
  sphinx.ext.napoleon support as well.

- Support for type parameters as Sphinx objects, with cross-linking, like
  the existing support for function parameters as Sphinx objects.

- Support in apigen for PEP 695 type parameters, and for displaying
  pre-PEP 695 separately-defined TypeVar types as PEP 695 type parameters.

docs/conf.py

@@ -353,6 +353,7 @@ def get_colors(color_t: str):
         unique_colors.append(m.group(1))
     return unique_colors
 
+
 # jinja contexts
 example_python_apigen_modules = {
     "my_module": "my_api/",
@@ -373,8 +374,12 @@ def get_colors(color_t: str):
             (
                 full_name,
                 overload_id,
-                python_apigen._get_docname(example_python_apigen_modules, full_name, overload_id, False),
-                python_apigen._get_docname(example_python_apigen_modules, full_name, overload_id, True),
+                python_apigen._get_docname(
+                    example_python_apigen_modules, full_name, overload_id, False
+                ),
+                python_apigen._get_docname(
+                    example_python_apigen_modules, full_name, overload_id, True
+                ),
             )
             for full_name, overload_id in example_python_apigen_objects
         ],
@@ -401,7 +406,10 @@ def get_colors(color_t: str):
 .. highlight:: json
 """
 
-python_apigen_modules = {"tensorstore_demo": "python_apigen_generated/"}
+python_apigen_modules = {
+    "tensorstore_demo": "python_apigen_generated/",
+    "type_param_demo": "python_apigen_generated/",
+}
 
 python_apigen_default_groups = [
     ("class:.*", "Classes"),

docs/python_apigen_demo.rst

@@ -10,3 +10,8 @@ Some other group
 ----------------
 
 .. python-apigen-group:: some-other-group
+
+Type parameter demo
+-------------------
+
+.. python-apigen-group:: type-param

docs/tensorstore_demo/__init__.py

@@ -734,8 +734,8 @@ def __getitem__(self, *args, **kwargs) -> None:
             })
 
         More generally, specifying an ``n``-dimensional `bool` array is equivalent to
-        specifying ``n`` 1-dimensional index arrays, where the ``i``\ th index array specifies
-        the ``i``\ th coordinate of the `True` values:
+        specifying ``n`` 1-dimensional index arrays, where the ``i``\\ th index array specifies
+        the ``i``\\ th coordinate of the `True` values:
 
             >>> x = ts.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]],
             ...              dtype=ts.int32)
@@ -1048,8 +1048,8 @@ def __getitem__(self, *args, **kwargs) -> None:
           :python:`dims[i] = self.labels.index(other.labels[i])`.  It is an
           error if no such dimension exists.
 
-       2. Otherwise, ``i`` is the ``j``\ th unlabeled dimension of :python:`other`
-          (left to right), and :python:`dims[i] = k`, where ``k`` is the ``j``\ th
+       2. Otherwise, ``i`` is the ``j``\\ th unlabeled dimension of :python:`other`
+          (left to right), and :python:`dims[i] = k`, where ``k`` is the ``j``\\ th
           unlabeled dimension of :python:`self` (left to right).  It is an error
           if no such dimension exists.
 

docs/type_param_demo.py

@@ -0,0 +1,128 @@
+import collections.abc
+from typing import (
+    TypeVar,
+    Generic,
+    overload,
+    Iterable,
+    Optional,
+    KeysView,
+    ValuesView,
+    ItemsView,
+    Iterator,
+    Union,
+)
+
+K = TypeVar("K")
+V = TypeVar("V")
+T = TypeVar("T")
+U = TypeVar("U")
+
+
+class Map(Generic[K, V]):
+    """Maps keys of type :py:param:`.K` to values of type :py:param:`.V`.
+
+    Type parameters:
+      K:
+        Key type.
+      V:
+        Mapped value type.
+
+    Group:
+      type-param
+    """
+
+    @overload
+    def __init__(self):
+        ...
+
+    @overload
+    def __init__(self, items: collections.abc.Mapping[K, V]):
+        ...
+
+    @overload
+    def __init__(self, items: Iterable[tuple[K, V]]):
+        ...
+
+    def __init__(self, items):
+        """Construct from the specified items."""
+        ...
+
+    def clear(self):
+        """Clear the map."""
+        ...
+
+    def keys(self) -> KeysView[K]:
+        """Return a dynamic view of the keys."""
+        ...
+
+    def items(self) -> ItemsView[K, V]:
+        """Return a dynamic view of the items."""
+        ...
+
+    def values(self) -> ValuesView[V]:
+        """Return a dynamic view of the values."""
+        ...
+
+    @overload
+    def get(self, key: K) -> Optional[V]:
+        ...
+
+    @overload
+    def get(self, key: K, default: V) -> V:
+        ...
+
+    @overload
+    def get(self, key: K, default: T) -> Union[V, T]:
+        ...
+
+    def get(self, key: K, default=None):
+        """Return the mapped value, or the specified default."""
+        ...
+
+    def __len__(self) -> int:
+        """Return the number of items in the map."""
+        ...
+
+    def __contains__(self, key: K) -> bool:
+        """Check if the map contains :py:param:`.key`."""
+        ...
+
+    def __getitem__(self, key: K) -> V:
+        """Return the value associated with :py:param:`.key`.
+
+        Raises:
+          KeyError: if :py:param:`.key` is not present.
+        """
+        ...
+
+    def __setitem__(self, key: K, value: V):
+        """Set the value associated with the specified key."""
+        ...
+
+    def __delitem__(self, key: K):
+        """Remove the value associated with the specified key.
+
+        Raises:
+          KeyError: if :py:param:`.key` is not present.
+        """
+        ...
+
+    def __iter__(self) -> Iterator[K]:
+        """Iterate over the keys."""
+        ...
+
+
+class Derived(Map[int, U], Generic[U]):
+    """Map from integer keys to arbitrary values.
+
+    Type parameters:
+      U: Mapped value type.
+
+    Group:
+      type-param
+    """
+
+    pass
+
+
+__all__ = ["Map", "Derived"]

sphinx_immaterial/apidoc/object_description_options.py

@@ -50,7 +50,22 @@ def format_object_description_tooltip(
     ("py:property", {"toc_icon_class": "alias", "toc_icon_text": "P"}),
     ("py:attribute", {"toc_icon_class": "alias", "toc_icon_text": "A"}),
     ("py:data", {"toc_icon_class": "alias", "toc_icon_text": "V"}),
-    ("py:parameter", {"toc_icon_class": "sub-data", "toc_icon_text": "p"}),
+    (
+        "py:parameter",
+        {
+            "toc_icon_class": "sub-data",
+            "toc_icon_text": "p",
+            "generate_synopses": "first_sentence",
+        },
+    ),
+    (
+        "py:typeParameter",
+        {
+            "toc_icon_class": "alias",
+            "toc_icon_text": "T",
+            "generate_synopses": "first_sentence",
+        },
+    ),
     ("c:member", {"toc_icon_class": "alias", "toc_icon_text": "V"}),
     ("c:var", {"toc_icon_class": "alias", "toc_icon_text": "V"}),
     ("c:function", {"toc_icon_class": "procedure", "toc_icon_text": "F"}),

sphinx_immaterial/apidoc/object_toc.py

@@ -73,7 +73,6 @@ def _make_section_from_field(
         source: docutils.nodes.field,
     ) -> Optional[docutils.nodes.section]:
         fieldname = cast(docutils.nodes.field_name, source[0])
-        fieldbody = cast(docutils.nodes.field_body, source[1])
         ids = fieldname["ids"]
         if not ids:
             # Not indexed