Module refinery.lib.scripts.js.analysis.cfg
JavaScript's contribution to the shared control-flow substrate: which node types are which control-flow shape, and where the parts of each are stored.
Everything structural — the graph, the frontier threading, the jump-target and handler stacks, and
the shapes themselves — lives in refinery.lib.scripts.analysis.cfg. What remains here is
_Builder.statement, the recognition of Js* node types, and the accessors that pull a construct
apart. Two of the shape parameters are answered from JavaScript semantics rather than from syntax:
switch falls through from one case to the next, and an unlabelled break may leave a switch as
well as a loop.
Expand source code Browse git
"""
JavaScript's contribution to the shared control-flow substrate: which node types are which
control-flow shape, and where the parts of each are stored.
Everything structural — the graph, the frontier threading, the jump-target and handler stacks, and
the shapes themselves — lives in `refinery.lib.scripts.analysis.cfg`. What remains here is
`_Builder.statement`, the recognition of `Js*` node types, and the accessors that pull a construct
apart. Two of the shape parameters are answered from JavaScript semantics rather than from syntax:
`switch` falls through from one case to the next, and an unlabelled `break` may leave a `switch` as
well as a loop.
"""
from __future__ import annotations
from typing import Sequence
from refinery.lib.scripts import Node
from refinery.lib.scripts.analysis.cfg import (
ArmFlow,
CfgBuilder,
CfgNode,
ControlFlowGraph,
ControlFlowModel,
ElementLocator,
)
from refinery.lib.scripts.analysis.cfg import build_control_flow as _build_control_flow
from refinery.lib.scripts.js.analysis.model import FUNCTION_NODES
from refinery.lib.scripts.js.model import (
JsBlockStatement,
JsBreakStatement,
JsContinueStatement,
JsDoWhileStatement,
JsForInStatement,
JsForOfStatement,
JsForStatement,
JsIfStatement,
JsLabeledStatement,
JsReturnStatement,
JsScript,
JsSwitchStatement,
JsThrowStatement,
JsTryStatement,
JsWhileStatement,
JsWithStatement,
)
__all__ = [
'CfgNode',
'ControlFlowGraph',
'ControlFlowModel',
'ElementLocator',
'build_cfg',
'build_control_flow',
'build_control_flow_model',
]
_LOOP_NODES = (
JsWhileStatement,
JsDoWhileStatement,
JsForStatement,
JsForInStatement,
JsForOfStatement,
)
def _label_name(statement: Node) -> str | None:
label = getattr(statement, 'label', None)
return label.name if label is not None else None
class _Builder(CfgBuilder):
"""
The JavaScript dispatch over `refinery.lib.scripts.analysis.cfg.CfgBuilder`.
"""
def body_statements(self, owner: Node) -> list[Node]:
if isinstance(owner, JsScript):
return list(owner.body)
body = getattr(owner, 'body', None)
if isinstance(body, JsBlockStatement):
return list(body.body)
if isinstance(body, Node):
return [body]
return []
def statement(self, statement: Node, frontier: list[CfgNode]) -> list[CfgNode]:
if isinstance(statement, JsBlockStatement):
return self.sequence(statement.body, frontier)
if isinstance(statement, JsIfStatement):
arms: list[Node | None] = [statement.consequent]
if statement.alternate is not None:
arms.append(statement.alternate)
return self.branch_on(
statement, arms, frontier, exhaustive=statement.alternate is not None)
if isinstance(statement, JsWhileStatement):
return self.loop_head_tested(statement, statement.body, frontier)
if isinstance(statement, JsDoWhileStatement):
return self.loop_tail_tested(statement, statement.body, frontier)
if isinstance(statement, JsForStatement):
return self.loop_counted(
statement.init, statement.test, statement.update, statement.body, frontier)
if isinstance(statement, (JsForInStatement, JsForOfStatement)):
return self.loop_head_tested(statement, getattr(statement, 'body', None), frontier)
if isinstance(statement, JsSwitchStatement):
return self._switch(statement, frontier)
if isinstance(statement, JsTryStatement):
handler = statement.handler
finalizer = statement.finalizer
return self.guarded(
statement.block,
[(handler, handler.body)] if handler is not None else (),
finalizer,
list(finalizer.body) if finalizer is not None else (),
frontier,
)
if isinstance(statement, JsLabeledStatement):
return self.labelled(
_label_name(statement),
statement.body,
frontier,
binds_to_body=isinstance(statement.body, (*_LOOP_NODES, JsSwitchStatement)),
)
if isinstance(statement, JsReturnStatement):
return self.terminate(statement, frontier, exceptional=False)
if isinstance(statement, JsThrowStatement):
return self.terminate(statement, frontier, exceptional=True)
if isinstance(statement, JsBreakStatement):
return self.jump_out(statement, _label_name(statement), frontier)
if isinstance(statement, JsContinueStatement):
return self.jump_back(statement, _label_name(statement), frontier)
if isinstance(statement, JsWithStatement):
node = self.node(statement)
self.link(frontier, node)
return self.statement(statement.body, [node]) if statement.body else [node]
return self.opaque(statement, frontier)
def _switch(self, statement: JsSwitchStatement, frontier: list[CfgNode]) -> list[CfgNode]:
arms: list[Sequence[Node]] = [list(case.body) for case in statement.cases]
exhaustive = any(case.test is None for case in statement.cases)
return self.dispatch(
statement, arms, frontier, arm_flow=ArmFlow.SEQUENTIAL, exhaustive=exhaustive)
def build_cfg(owner: Node) -> ControlFlowGraph:
"""
Build the control-flow graph of *owner*, a `refinery.lib.scripts.js.model.JsScript` or a
function node, over its own body without descending into nested function bodies.
"""
return _Builder(owner).build()
def build_control_flow(root: JsScript) -> dict[int, ControlFlowGraph]:
"""
Build one control-flow graph per function and for the script itself, keyed by the owner node's
identity.
"""
return _build_control_flow(root, _Builder, FUNCTION_NODES)
def build_control_flow_model(root: JsScript) -> ControlFlowModel:
"""
Build the `refinery.lib.scripts.analysis.cfg.ControlFlowModel` for a script root — the shared
control-flow layer the `DominanceModel` and `LivenessModel` consume.
"""
return ControlFlowModel(build_control_flow(root))
Functions
def build_cfg(owner)-
Build the control-flow graph of owner, a
JsScriptor a function node, over its own body without descending into nested function bodies.Expand source code Browse git
def build_cfg(owner: Node) -> ControlFlowGraph: """ Build the control-flow graph of *owner*, a `refinery.lib.scripts.js.model.JsScript` or a function node, over its own body without descending into nested function bodies. """ return _Builder(owner).build() def build_control_flow(root)-
Build one control-flow graph per function and for the script itself, keyed by the owner node's identity.
Expand source code Browse git
def build_control_flow(root: JsScript) -> dict[int, ControlFlowGraph]: """ Build one control-flow graph per function and for the script itself, keyed by the owner node's identity. """ return _build_control_flow(root, _Builder, FUNCTION_NODES) def build_control_flow_model(root)-
Build the
ControlFlowModelfor a script root — the shared control-flow layer theDominanceModelandLivenessModelconsume.Expand source code Browse git
def build_control_flow_model(root: JsScript) -> ControlFlowModel: """ Build the `refinery.lib.scripts.analysis.cfg.ControlFlowModel` for a script root — the shared control-flow layer the `DominanceModel` and `LivenessModel` consume. """ return ControlFlowModel(build_control_flow(root))
Classes
class CfgNode (element, successors=<factory>, predecessors=<factory>)-
One vertex of a control-flow graph.
elementis the AST node it stands for — a statement, or a loop-head expression whose reads and writes occur at this point — orNonefor the synthetic entry and exit.successorslists the nodes control may pass to next.eq=Falseis load bearing. Every map in every layer above is keyed byid(node), and two structurally equal statements are two distinct points in the program.repr=Falseis too. A generated repr expandssuccessorsandpredecessors, and the guard against recursion only covers the node currently being formatted, so a graph re-expands at every join: a chain of five hundred nodes — a script of five hundred statements — exhausts the interpreter's stack, and a handful of branches produces megabytes. A debugger, a failing assertion, orpytest --showlocalswould print one.Expand source code Browse git
@dataclass(eq=False, repr=False) class CfgNode: """ One vertex of a control-flow graph. `element` is the AST node it stands for — a statement, or a loop-head expression whose reads and writes occur at this point — or `None` for the synthetic entry and exit. `successors` lists the nodes control may pass to next. `eq=False` is load bearing. Every map in every layer above is keyed by `id(node)`, and two structurally equal statements are two distinct points in the program. `repr=False` is too. A generated repr expands `successors` and `predecessors`, and the guard against recursion only covers the node currently being formatted, so a graph re-expands at every join: a chain of five hundred nodes — a script of five hundred statements — exhausts the interpreter's stack, and a handful of branches produces megabytes. A debugger, a failing assertion, or `pytest --showlocals` would print one. """ element: Node | None successors: list[CfgNode] = field(default_factory=list) predecessors: list[CfgNode] = field(default_factory=list)Instance variables
var element-
The type of the None singleton.
var successors-
The type of the None singleton.
var predecessors-
The type of the None singleton.
class ControlFlowGraph (owner)-
The control-flow graph of one function or script body.
entryandexitare synthetic; every other node wraps an AST element reachable throughnode_of.Expand source code Browse git
class ControlFlowGraph: """ The control-flow graph of one function or script body. `entry` and `exit` are synthetic; every other node wraps an AST element reachable through `node_of`. """ def __init__(self, owner: Node): self.owner = owner self.entry = CfgNode(None) self.exit = CfgNode(None) self.nodes: list[CfgNode] = [self.entry, self.exit] self._node_of: dict[int, CfgNode] = {} self.exceptional_edges: set[tuple[int, int]] = set() def node_of(self, element: Node) -> CfgNode | None: """ The graph node standing for *element*, or `None` if *element* is not part of this body, or is a node the graph does not represent on its own such as a plain expression inside a statement. """ return self._node_of.get(id(element)) def is_exceptional(self, source: CfgNode, target: CfgNode) -> bool: """ Whether the edge from *source* to *target* is taken only when *source* throws rather than completing normally. A definition *source* makes is not guaranteed to have happened along such an edge, so a flow-sensitive analysis must not treat it as a kill there. """ return (id(source), id(target)) in self.exceptional_edgesMethods
def node_of(self, element)-
The graph node standing for element, or
Noneif element is not part of this body, or is a node the graph does not represent on its own such as a plain expression inside a statement.Expand source code Browse git
def node_of(self, element: Node) -> CfgNode | None: """ The graph node standing for *element*, or `None` if *element* is not part of this body, or is a node the graph does not represent on its own such as a plain expression inside a statement. """ return self._node_of.get(id(element)) def is_exceptional(self, source, target)-
Whether the edge from source to target is taken only when source throws rather than completing normally. A definition source makes is not guaranteed to have happened along such an edge, so a flow-sensitive analysis must not treat it as a kill there.
Expand source code Browse git
def is_exceptional(self, source: CfgNode, target: CfgNode) -> bool: """ Whether the edge from *source* to *target* is taken only when *source* throws rather than completing normally. A definition *source* makes is not guaranteed to have happened along such an edge, so a flow-sensitive analysis must not treat it as a kill there. """ return (id(source), id(target)) in self.exceptional_edges
class ControlFlowModel (graphs)-
The per-body control-flow graphs of one script, paired with the
ElementLocatorthat maps any AST node to the graph node evaluating it. Built once over the script root — the graphs are purely syntactic and need no semantic model — and shared by every solver layered on it, which would otherwise each rebuild the whole set.Expand source code Browse git
class ControlFlowModel: """ The per-body control-flow graphs of one script, paired with the `ElementLocator` that maps any AST node to the graph node evaluating it. Built once over the script root — the graphs are purely syntactic and need no semantic model — and shared by every solver layered on it, which would otherwise each rebuild the whole set. """ def __init__(self, graphs: dict[int, ControlFlowGraph]): self.graphs = graphs self._locator = ElementLocator(graphs) def graph_of(self, owner: Node) -> ControlFlowGraph | None: """ The control-flow graph owned by *owner* — a function node or the script root — or `None` when it owns none. """ return self.graphs.get(id(owner)) def node_of(self, element: Node) -> CfgNode | None: """ The control-flow node standing for *element*, or `None` when the graphs do not represent it directly. Delegates to the shared `ElementLocator`. """ return self._locator.node_of(element) def locate(self, element: Node) -> tuple[ControlFlowGraph, CfgNode] | None: """ The graph and node that evaluate *element*, climbing out of any enclosing expression, or `None` when it has no enclosing graph node. Delegates to the shared `ElementLocator`. """ return self._locator.locate(element)Methods
def graph_of(self, owner)-
The control-flow graph owned by owner — a function node or the script root — or
Nonewhen it owns none.Expand source code Browse git
def graph_of(self, owner: Node) -> ControlFlowGraph | None: """ The control-flow graph owned by *owner* — a function node or the script root — or `None` when it owns none. """ return self.graphs.get(id(owner)) def node_of(self, element)-
The control-flow node standing for element, or
Nonewhen the graphs do not represent it directly. Delegates to the sharedElementLocator.Expand source code Browse git
def node_of(self, element: Node) -> CfgNode | None: """ The control-flow node standing for *element*, or `None` when the graphs do not represent it directly. Delegates to the shared `ElementLocator`. """ return self._locator.node_of(element) def locate(self, element)-
The graph and node that evaluate element, climbing out of any enclosing expression, or
Nonewhen it has no enclosing graph node. Delegates to the sharedElementLocator.Expand source code Browse git
def locate(self, element: Node) -> tuple[ControlFlowGraph, CfgNode] | None: """ The graph and node that evaluate *element*, climbing out of any enclosing expression, or `None` when it has no enclosing graph node. Delegates to the shared `ElementLocator`. """ return self._locator.locate(element)
class ElementLocator (graphs)-
Locates an AST node among the per-body control-flow graphs of one script. Built once from the graph set, it maps an element to the graph and node that evaluate it — directly for an element a graph node stands for (
node_of), or by climbing to the enclosing statement for one nested inside an expression (locate). Every flow-sensitive layer built on the graphs shares it, so the AST-to-graph mapping and its parent-climb live in one place.Expand source code Browse git
class ElementLocator: """ Locates an AST node among the per-body control-flow graphs of one script. Built once from the graph set, it maps an element to the graph and node that evaluate it — directly for an element a graph node stands for (`node_of`), or by climbing to the enclosing statement for one nested inside an expression (`locate`). Every flow-sensitive layer built on the graphs shares it, so the AST-to-graph mapping and its parent-climb live in one place. """ def __init__(self, graphs: dict[int, ControlFlowGraph]): self._element_graph: dict[int, ControlFlowGraph] = {} self._owners = {id(graph.owner) for graph in graphs.values()} for graph in graphs.values(): for node in graph.nodes: if node.element is not None: self._element_graph[id(node.element)] = graph def node_of(self, element: Node) -> CfgNode | None: """ The control-flow node standing for *element* in whichever graph owns it, or `None` when *element* is not itself a node the graphs represent. """ graph = self._element_graph.get(id(element)) return graph.node_of(element) if graph is not None else None def locate(self, element: Node) -> tuple[ControlFlowGraph, CfgNode] | None: """ The graph and node that evaluate *element*, climbing out of any expression it is nested in to the enclosing statement or loop head, or `None` when it has no enclosing graph node. The climb stops at the body *element* is written in rather than continuing into the body around it. Something inside a body that no node of that body's graph stands for — the default of a parameter, an attribute on the body itself — is evaluated when that body is invoked, and the enclosing body's statement that mentions it is not that point. Answering with that statement orders the element against code the invocation may never run beside, which is the false claim the per-body split exists to avoid; `None` says the graphs do not place it, and a caller reads that as unknown. The body *element* is itself is not its own boundary: a block is a value written at a point in the body around it, so locating one climbs out to the statement that mentions it. """ cursor: Node | None = element while cursor is not None: graph = self._element_graph.get(id(cursor)) if graph is not None: node = graph.node_of(cursor) if node is not None: return graph, node if cursor is not element and id(cursor) in self._owners: return None cursor = cursor.parent return NoneMethods
def node_of(self, element)-
The control-flow node standing for element in whichever graph owns it, or
Nonewhen element is not itself a node the graphs represent.Expand source code Browse git
def node_of(self, element: Node) -> CfgNode | None: """ The control-flow node standing for *element* in whichever graph owns it, or `None` when *element* is not itself a node the graphs represent. """ graph = self._element_graph.get(id(element)) return graph.node_of(element) if graph is not None else None def locate(self, element)-
The graph and node that evaluate element, climbing out of any expression it is nested in to the enclosing statement or loop head, or
Nonewhen it has no enclosing graph node.The climb stops at the body element is written in rather than continuing into the body around it. Something inside a body that no node of that body's graph stands for — the default of a parameter, an attribute on the body itself — is evaluated when that body is invoked, and the enclosing body's statement that mentions it is not that point. Answering with that statement orders the element against code the invocation may never run beside, which is the false claim the per-body split exists to avoid;
Nonesays the graphs do not place it, and a caller reads that as unknown.The body element is itself is not its own boundary: a block is a value written at a point in the body around it, so locating one climbs out to the statement that mentions it.
Expand source code Browse git
def locate(self, element: Node) -> tuple[ControlFlowGraph, CfgNode] | None: """ The graph and node that evaluate *element*, climbing out of any expression it is nested in to the enclosing statement or loop head, or `None` when it has no enclosing graph node. The climb stops at the body *element* is written in rather than continuing into the body around it. Something inside a body that no node of that body's graph stands for — the default of a parameter, an attribute on the body itself — is evaluated when that body is invoked, and the enclosing body's statement that mentions it is not that point. Answering with that statement orders the element against code the invocation may never run beside, which is the false claim the per-body split exists to avoid; `None` says the graphs do not place it, and a caller reads that as unknown. The body *element* is itself is not its own boundary: a block is a value written at a point in the body around it, so locating one climbs out to the statement that mentions it. """ cursor: Node | None = element while cursor is not None: graph = self._element_graph.get(id(cursor)) if graph is not None: node = graph.node_of(cursor) if node is not None: return graph, node if cursor is not element and id(cursor) in self._owners: return None cursor = cursor.parent return None