Merge pull request #23798 from VadimLevin:dev/vlevin/runtime-typing-module

feat: provide cv2.typing aliases at runtime
pull/23811/head
Alexander Smorkalov 2 years ago committed by GitHub
commit 0dde3b65d5
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  1. 17
      modules/python/src2/typing_stubs_generation/generation.py
  2. 123
      modules/python/src2/typing_stubs_generation/nodes/type_node.py
  3. 54
      modules/python/src2/typing_stubs_generation/predefined_types.py

@ -611,9 +611,7 @@ def _generate_typing_module(root: NamespaceNode, output_path: Path) -> None:
"""
def register_alias_links_from_aggregated_type(type_node: TypeNode) -> None:
assert isinstance(type_node, AggregatedTypeNode), \
"Provided type node '{}' is not an aggregated type".format(
type_node.ctype_name
)
f"Provided type node '{type_node.ctype_name}' is not an aggregated type"
for item in filter(lambda i: isinstance(i, AliasRefTypeNode), type_node):
register_alias(PREDEFINED_TYPES[item.ctype_name]) # type: ignore
@ -631,8 +629,8 @@ def _generate_typing_module(root: NamespaceNode, output_path: Path) -> None:
aliases[typename] = alias_node.value.full_typename.replace(
root.export_name + ".typing.", ""
)
if alias_node.comment is not None:
aliases[typename] += " # " + alias_node.comment
if alias_node.doc is not None:
aliases[typename] += f'\n"""{alias_node.doc}"""'
for required_import in alias_node.required_definition_imports:
required_imports.add(required_import)
@ -643,12 +641,18 @@ def _generate_typing_module(root: NamespaceNode, output_path: Path) -> None:
aliases: Dict[str, str] = {}
# Resolve each node and register aliases
TypeNode.compatible_to_runtime_usage = True
for node in PREDEFINED_TYPES.values():
node.resolve(root)
if isinstance(node, AliasTypeNode):
register_alias(node)
output_stream = StringIO()
output_stream.write("__all__ = [\n")
for alias_name in aliases:
output_stream.write(f' "{alias_name}",\n')
output_stream.write("]\n\n")
_write_required_imports(required_imports, output_stream)
for alias_name, alias_type in aliases.items():
@ -657,7 +661,8 @@ def _generate_typing_module(root: NamespaceNode, output_path: Path) -> None:
output_stream.write(alias_type)
output_stream.write("\n")
(output_path / "__init__.pyi").write_text(output_stream.getvalue())
TypeNode.compatible_to_runtime_usage = False
(output_path / "__init__.py").write_text(output_stream.getvalue())
StubGenerator = Callable[[ASTNode, StringIO, int], None]

@ -19,6 +19,17 @@ class TypeNode(abc.ABC):
e.g. `cv::Rect`.
- There is no information about types visibility (see `ASTNodeTypeNode`).
"""
compatible_to_runtime_usage = False
"""Class-wide property that switches exported type names for several nodes.
Example:
>>> node = OptionalTypeNode(ASTNodeTypeNode("Size"))
>>> node.typename # TypeNode.compatible_to_runtime_usage == False
"Size | None"
>>> TypeNode.compatible_to_runtime_usage = True
>>> node.typename
"typing.Optional[Size]"
"""
def __init__(self, ctype_name: str) -> None:
self.ctype_name = ctype_name
@ -247,11 +258,11 @@ class AliasTypeNode(TypeNode):
"""
def __init__(self, ctype_name: str, value: TypeNode,
export_name: Optional[str] = None,
comment: Optional[str] = None) -> None:
doc: Optional[str] = None) -> None:
super().__init__(ctype_name)
self.value = value
self._export_name = export_name
self.comment = comment
self.doc = doc
@property
def typename(self) -> str:
@ -287,82 +298,82 @@ class AliasTypeNode(TypeNode):
@classmethod
def int_(cls, ctype_name: str, export_name: Optional[str] = None,
comment: Optional[str] = None):
return cls(ctype_name, PrimitiveTypeNode.int_(), export_name, comment)
doc: Optional[str] = None):
return cls(ctype_name, PrimitiveTypeNode.int_(), export_name, doc)
@classmethod
def float_(cls, ctype_name: str, export_name: Optional[str] = None,
comment: Optional[str] = None):
return cls(ctype_name, PrimitiveTypeNode.float_(), export_name, comment)
doc: Optional[str] = None):
return cls(ctype_name, PrimitiveTypeNode.float_(), export_name, doc)
@classmethod
def array_(cls, ctype_name: str, shape: Optional[Tuple[int, ...]],
dtype: Optional[str] = None, export_name: Optional[str] = None,
comment: Optional[str] = None):
if comment is None:
comment = "Shape: " + str(shape)
doc: Optional[str] = None):
if doc is None:
doc = "Shape: " + str(shape)
else:
comment += ". Shape: " + str(shape)
doc += ". Shape: " + str(shape)
return cls(ctype_name, NDArrayTypeNode(ctype_name, shape, dtype),
export_name, comment)
export_name, doc)
@classmethod
def union_(cls, ctype_name: str, items: Tuple[TypeNode, ...],
export_name: Optional[str] = None,
comment: Optional[str] = None):
doc: Optional[str] = None):
return cls(ctype_name, UnionTypeNode(ctype_name, items),
export_name, comment)
export_name, doc)
@classmethod
def optional_(cls, ctype_name: str, item: TypeNode,
export_name: Optional[str] = None,
comment: Optional[str] = None):
return cls(ctype_name, OptionalTypeNode(item), export_name, comment)
doc: Optional[str] = None):
return cls(ctype_name, OptionalTypeNode(item), export_name, doc)
@classmethod
def sequence_(cls, ctype_name: str, item: TypeNode,
export_name: Optional[str] = None,
comment: Optional[str] = None):
doc: Optional[str] = None):
return cls(ctype_name, SequenceTypeNode(ctype_name, item),
export_name, comment)
export_name, doc)
@classmethod
def tuple_(cls, ctype_name: str, items: Tuple[TypeNode, ...],
export_name: Optional[str] = None,
comment: Optional[str] = None):
doc: Optional[str] = None):
return cls(ctype_name, TupleTypeNode(ctype_name, items),
export_name, comment)
export_name, doc)
@classmethod
def class_(cls, ctype_name: str, class_name: str,
export_name: Optional[str] = None,
comment: Optional[str] = None):
doc: Optional[str] = None):
return cls(ctype_name, ASTNodeTypeNode(class_name),
export_name, comment)
export_name, doc)
@classmethod
def callable_(cls, ctype_name: str,
arg_types: Union[TypeNode, Sequence[TypeNode]],
ret_type: TypeNode = NoneTypeNode("void"),
export_name: Optional[str] = None,
comment: Optional[str] = None):
doc: Optional[str] = None):
return cls(ctype_name,
CallableTypeNode(ctype_name, arg_types, ret_type),
export_name, comment)
export_name, doc)
@classmethod
def ref_(cls, ctype_name: str, alias_ctype_name: str,
alias_export_name: Optional[str] = None,
export_name: Optional[str] = None, comment: Optional[str] = None):
export_name: Optional[str] = None, doc: Optional[str] = None):
return cls(ctype_name,
AliasRefTypeNode(alias_ctype_name, alias_export_name),
export_name, comment)
export_name, doc)
@classmethod
def dict_(cls, ctype_name: str, key_type: TypeNode, value_type: TypeNode,
export_name: Optional[str] = None, comment: Optional[str] = None):
export_name: Optional[str] = None, doc: Optional[str] = None):
return cls(ctype_name, DictTypeNode(ctype_name, key_type, value_type),
export_name, comment)
export_name, doc)
class NDArrayTypeNode(TypeNode):
@ -543,6 +554,16 @@ class ContainerTypeNode(AggregatedTypeNode):
item.relative_typename(module) for item in self
))
@property
def required_definition_imports(self) -> Generator[str, None, None]:
yield "import typing"
return super().required_definition_imports
@property
def required_usage_imports(self) -> Generator[str, None, None]:
if TypeNode.compatible_to_runtime_usage:
yield "import typing"
return super().required_usage_imports
@abc.abstractproperty
def type_format(self) -> str:
pass
@ -560,30 +581,22 @@ class SequenceTypeNode(ContainerTypeNode):
super().__init__(ctype_name, (item, ))
@property
def type_format(self):
def type_format(self) -> str:
return "typing.Sequence[{}]"
@property
def types_separator(self):
def types_separator(self) -> str:
return ", "
@property
def required_definition_imports(self) -> Generator[str, None, None]:
yield "import typing"
yield from super().required_definition_imports
@property
def required_usage_imports(self) -> Generator[str, None, None]:
yield "import typing"
yield from super().required_usage_imports
class TupleTypeNode(ContainerTypeNode):
"""Type node representing possibly heterogenous collection of types with
"""Type node representing possibly heterogeneous collection of types with
possibly unspecified length.
"""
@property
def type_format(self):
def type_format(self) -> str:
if TypeNode.compatible_to_runtime_usage:
return "typing.Tuple[{}]"
return "tuple[{}]"
@property
@ -595,20 +608,34 @@ class UnionTypeNode(ContainerTypeNode):
"""Type node representing type that can be one of the predefined set of types.
"""
@property
def type_format(self):
def type_format(self) -> str:
if TypeNode.compatible_to_runtime_usage:
return "typing.Union[{}]"
return "{}"
@property
def types_separator(self):
def types_separator(self) -> str:
if TypeNode.compatible_to_runtime_usage:
return ", "
return " | "
class OptionalTypeNode(UnionTypeNode):
class OptionalTypeNode(ContainerTypeNode):
"""Type node representing optional type which is effectively is a union
of value type node and None.
"""
def __init__(self, value: TypeNode) -> None:
super().__init__(value.ctype_name, (value, NoneTypeNode(value.ctype_name)))
super().__init__(value.ctype_name, (value,))
@property
def type_format(self) -> str:
if TypeNode.compatible_to_runtime_usage:
return "typing.Optional[{}]"
return "{} | None"
@property
def types_separator(self) -> str:
return ", "
class DictTypeNode(ContainerTypeNode):
@ -627,11 +654,13 @@ class DictTypeNode(ContainerTypeNode):
return self.items[1]
@property
def type_format(self):
def type_format(self) -> str:
if TypeNode.compatible_to_runtime_usage:
return "typing.Dict[{}]"
return "dict[{}]"
@property
def types_separator(self):
def types_separator(self) -> str:
return ", "

@ -40,65 +40,65 @@ _PREDEFINED_TYPES = (
),
AliasTypeNode.sequence_("MatShape", PrimitiveTypeNode.int_()),
AliasTypeNode.sequence_("Size", PrimitiveTypeNode.int_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Size2f", PrimitiveTypeNode.float_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Scalar", PrimitiveTypeNode.float_(),
comment="Required length is at most 4"),
doc="Required length is at most 4"),
AliasTypeNode.sequence_("Point", PrimitiveTypeNode.int_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.ref_("Point2i", "Point"),
AliasTypeNode.sequence_("Point2f", PrimitiveTypeNode.float_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Point2d", PrimitiveTypeNode.float_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Point3i", PrimitiveTypeNode.int_(),
comment="Required length is 3"),
doc="Required length is 3"),
AliasTypeNode.sequence_("Point3f", PrimitiveTypeNode.float_(),
comment="Required length is 3"),
doc="Required length is 3"),
AliasTypeNode.sequence_("Point3d", PrimitiveTypeNode.float_(),
comment="Required length is 3"),
doc="Required length is 3"),
AliasTypeNode.sequence_("Range", PrimitiveTypeNode.int_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Rect", PrimitiveTypeNode.int_(),
comment="Required length is 4"),
doc="Required length is 4"),
AliasTypeNode.sequence_("Rect2i", PrimitiveTypeNode.int_(),
comment="Required length is 4"),
doc="Required length is 4"),
AliasTypeNode.sequence_("Rect2d", PrimitiveTypeNode.float_(),
comment="Required length is 4"),
doc="Required length is 4"),
AliasTypeNode.dict_("Moments", PrimitiveTypeNode.str_("Moments::key"),
PrimitiveTypeNode.float_("Moments::value")),
AliasTypeNode.tuple_("RotatedRect",
items=(AliasRefTypeNode("Point2f"),
AliasRefTypeNode("Size"),
PrimitiveTypeNode.float_()),
comment="Any type providing sequence protocol is supported"),
doc="Any type providing sequence protocol is supported"),
AliasTypeNode.tuple_("TermCriteria",
items=(
ASTNodeTypeNode("TermCriteria.Type"),
PrimitiveTypeNode.int_(),
PrimitiveTypeNode.float_()),
comment="Any type providing sequence protocol is supported"),
doc="Any type providing sequence protocol is supported"),
AliasTypeNode.sequence_("Vec2i", PrimitiveTypeNode.int_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Vec2f", PrimitiveTypeNode.float_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Vec2d", PrimitiveTypeNode.float_(),
comment="Required length is 2"),
doc="Required length is 2"),
AliasTypeNode.sequence_("Vec3i", PrimitiveTypeNode.int_(),
comment="Required length is 3"),
doc="Required length is 3"),
AliasTypeNode.sequence_("Vec3f", PrimitiveTypeNode.float_(),
comment="Required length is 3"),
doc="Required length is 3"),
AliasTypeNode.sequence_("Vec3d", PrimitiveTypeNode.float_(),
comment="Required length is 3"),
doc="Required length is 3"),
AliasTypeNode.sequence_("Vec4i", PrimitiveTypeNode.int_(),
comment="Required length is 4"),
doc="Required length is 4"),
AliasTypeNode.sequence_("Vec4f", PrimitiveTypeNode.float_(),
comment="Required length is 4"),
doc="Required length is 4"),
AliasTypeNode.sequence_("Vec4d", PrimitiveTypeNode.float_(),
comment="Required length is 4"),
doc="Required length is 4"),
AliasTypeNode.sequence_("Vec6f", PrimitiveTypeNode.float_(),
comment="Required length is 6"),
doc="Required length is 6"),
AliasTypeNode.class_("FeatureDetector", "Feature2D",
export_name="FeatureDetector"),
AliasTypeNode.class_("DescriptorExtractor", "Feature2D",
@ -202,4 +202,6 @@ _PREDEFINED_TYPES = (
PrimitiveTypeNode.float_("map_int_and_double::value")),
)
PREDEFINED_TYPES = dict(zip((t.ctype_name for t in _PREDEFINED_TYPES), _PREDEFINED_TYPES))
PREDEFINED_TYPES = dict(
zip((t.ctype_name for t in _PREDEFINED_TYPES), _PREDEFINED_TYPES)
)

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