def dfs_visit(self, node):
# AST reuses some gast.nodes, such as Param node of expr_context
if node not in self.node_to_wrapper_map:
cur_wrapper = AstNodeWrapper(node)
self.node_to_wrapper_map[node] = cur_wrapper
else:
cur_wrapper = self.node_to_wrapper_map[node]
if self.node_wrapper_root is None:
self.node_wrapper_root = cur_wrapper
if len(self.ancestor_wrappers) != 0:
last_wrapper = self.ancestor_wrappers[-1]
last_wrapper.children.append(cur_wrapper)
cur_wrapper.parent = last_wrapper
self.ancestor_wrappers.append(cur_wrapper)
for child in gast.iter_child_nodes(node):
if isinstance(child, gast.FunctionDef) or isinstance(
child, gast.AsyncFunctionDef):
# TODO: current version is function name mapping to its type
# consider complex case involving parameters
self.var_env.enter_scope(child.name,
AstVarScope.SCOPE_TYPE_FUNCTION)
func_type = self.dfs_visit(child)
self.var_env.exit_scope()
else:
self.dfs_visit(child)
self.ancestor_wrappers.pop()
cur_wrapper.node_var_type = self._get_node_var_type(cur_wrapper)
return cur_wrapper.node_var_type
def analyze_convert_fn(ast: AST) -> AST:
"""Finds and Annotates the target convert function AST
Requires `analyze_func()` to analyze to the AST first.
Assumes the target convert function is the first child node of AST.
Annotates the top level node with the target convert `FunctionDef` node as
`convert_fn`, otherwise set to `None`.
Additionally annotates `convert_fn` if present with:
- `plotter_name` - name of the plotter instance passed to `convert_fn`
Args:
ast:
AST to scan and annotate the target convert function.
Returns:
The given AST with the target convert function annotated as `convert_fn`
"""
# TODO(mrzzy): Allow convert_fn with default args ie def convert_fn(g, a=2, b=3):
# walk through the AST to find the top level node with min nesting
candidate_fns = [
n for n in gast.iter_child_nodes(ast) if isinstance(n, FunctionDef)
]
ast.convert_fn = candidate_fns[0] if len(candidate_fns) == 1 else None
# extract name of plotter argument if present
if ast.convert_fn is not None and ast.convert_fn.n_args == 1:
ast.convert_fn.plotter_name = ast.convert_fn.args.args[0].id
return ast
def walk_const(ast, part_of=None):
iterable_types = (ListAST, Tuple)
ignore_types = (Load, Store, Del)
ast.is_constant = False
if isinstance(ast, ignore_types):
pass
# part of collection but not constant, meaning collection is not constant
elif part_of is not None and not isinstance(ast, iterable_types + (Constant,)):
part_of.is_constant = False
# constant if constant type and and not part of any larger collection
elif part_of is None and isinstance(ast, Constant):
ast.is_constant = True
# make sure we are not unpacking from the iterable
# otherwise elements should be recognised as constants instead
elif isinstance(ast, iterable_types) and not (
hasattr(ast, "assign") and ast.assign.is_unpack
):
# mark child nodes as part of this collection node
part_of = ast
# mark this collection node as constant unless a child node overrides
ast.is_constant = True
# recursively inspect child nodes for constants
for node in gast.iter_child_nodes(ast):
walk_const(node, part_of)
def propagate_activity(ast):
# recursively obtain symbol activity from child code blocks
input_syms, output_syms, base_in_syms, base_out_syms = {}, {}, {}, {}
for node in gast.iter_child_nodes(ast):
(
child_inputs,
child_outputs,
child_base_ins,
child_base_outs,
) = propagate_activity(node)
input_syms.update(child_inputs)
output_syms.update(child_outputs)
base_in_syms.update(child_base_ins)
base_out_syms.update(child_base_outs)
if not ast.is_block:
return input_syms, output_syms, base_in_syms, base_out_syms
# include symbol activity from this blockf
block = ast
input_syms.update(getattr(ast, "input_syms", {}))
output_syms.update(getattr(ast, "output_syms", {}))
base_in_syms.update(getattr(ast, "base_in_syms", {}))
base_out_syms.update(getattr(ast, "base_out_syms", {}))
block.input_syms, block.output_syms = input_syms, output_syms
block.base_in_syms, block.base_out_syms = base_in_syms, base_out_syms
return input_syms, output_syms, base_in_syms, base_out_syms
def walk_parent(ast, parent=None):
if not parent is None:
ast.parent = parent
# recursively resolve parents of child nodes
for node in gast.iter_child_nodes(ast):
walk_parent(node, ast)
def walk_block(ast, block=None):
if not block is None:
ast.block = block
# detect code blocks by checking for attributes
ast.is_block = any(hasattr(ast, attr) for attr in ["body", "orelse"])
if ast.is_block:
block = ast
# recursively resolve code blocks of child nodes
for node in gast.iter_child_nodes(ast):
walk_block(node, block)
def _check_wrapper(self, wrapper, node_to_wrapper_map):
self.assertEqual(node_to_wrapper_map[wrapper.node], wrapper)
if wrapper.parent is not None:
self.assertTrue(wrapper in wrapper.parent.children)
children_ast_nodes = [
child for child in gast.iter_child_nodes(wrapper.node)
]
self.assertEqual(len(wrapper.children), len(children_ast_nodes))
for child in wrapper.children:
self.assertTrue(child.node in children_ast_nodes)
self._check_wrapper(child, node_to_wrapper_map)
def walk_resolve(ast, symbol_table=deque([{}])):
# get current stack frame of the symbol table
symbol_frame = symbol_table[-1]
new_scope = False
def push_definition(symbol_frame, target_sym, assign_value):
# record definition (assign value) for symbol in symbol table
definitions = symbol_frame.get(target_sym, [])
definitions.append(assign_value)
symbol_frame[target_sym] = definitions
if isinstance(ast, (Assign, AnnAssign)):
# update frame with definitions for symbol defined in assignment
assign = ast
target_syms = {t.symbol: getattr(t, "symbol", None) for t in assign.tgts}
for target_sym, assign_value in zip(target_syms, assign.values):
push_definition(symbol_frame, target_sym, assign_value)
elif isinstance(ast, FunctionDef):
# record symbol defined by function definition
fn_def = ast
push_definition(symbol_frame, target_sym=fn_def.name, assign_value=fn_def)
# record arguments defined in function as symbols
for arg in fn_def.args.args:
push_definition(symbol_frame, target_sym=arg.id, assign_value=arg)
# function definition creates a new scope
new_scope = True
elif hasattr(ast, "symbol"):
# try to resolve symbol definitions
definitions = symbol_frame.get(ast.symbol, [])
# label latest definition of symbol on symbol AST node
ast.definition = definitions[-1] if len(definitions) >= 1 else None
# label all resolved definitions of symbol on symbol AST node
ast.definitions = definitions
# create a new stack frame if in new scope
if new_scope:
new_frame = deepcopy(symbol_frame)
symbol_table.append(new_frame)
# recursively resolve attributes of child nodes
for node in gast.iter_child_nodes(ast):
walk_resolve(node, symbol_table)
# pop stack frame from symbol table to revert to previous frame
if new_scope:
symbol_table.pop()
def _go(subtree, parent_func, parent_loop):
"""Recursively process a subtree.
The high level strategy is to recursively walk down the tree. When we see
a function or loop node, we update the `parent_func` or `parent_loop`
argument, and then continue descending. When we reach a `break`, `continue`,
or `return`, we then connect these nodes to the corresponding innermost
function or loop.
Args:
subtree: Current subtree to process.
parent_func: The AST node corresponding to the (innermost) FunctionDef
that contains this subtree.
parent_loop: The AST node corresponding to the (innermost) For or While
loop that contains this subtree.
"""
if isinstance(subtree, gast.Return):
assert parent_func, "return outside function"
if from_return:
result.append(
(ast_to_node_id[id(subtree)],
ast_to_node_id[id(parent_func)], JUMPS_OUT_OF_EDGE_TYPE))
if from_retval and subtree.value:
result.append(
(ast_to_node_id[id(subtree.value)],
ast_to_node_id[id(parent_func)], JUMPS_OUT_OF_EDGE_TYPE))
elif isinstance(subtree, (gast.Break, gast.Continue)):
assert parent_loop, "break or continue outside loop"
if from_break_cont:
result.append(
(ast_to_node_id[id(subtree)],
ast_to_node_id[id(parent_loop)], JUMPS_OUT_OF_EDGE_TYPE))
elif isinstance(subtree, gast.FunctionDef):
# Update current function
for stmt in subtree.body:
_go(stmt, subtree, None)
elif isinstance(subtree, (gast.For, gast.While)):
# Update current loop
for stmt in subtree.body:
_go(stmt, parent_func, subtree)
else:
for child in gast.iter_child_nodes(subtree):
_go(child, parent_func, parent_loop)
def generic_visit(self, node):
is_pure = all([self.visit(x) for x in ast.iter_child_nodes(node)])
if is_pure:
self.result.add(node)
return is_pure
def generic_visit(self, node):
lambdas = [self.visit(child) for child in ast.iter_child_nodes(node)]
return lambda ctx: sum(l(ctx) for l in lambdas)
def generic_visit(self, node):
lambdas = [self.visit(child) for child in ast.iter_child_nodes(node)]
return lambda ctx: sum(l(ctx) for l in lambdas)
def generic_visit(self, node):
is_pure = all([self.visit(x) for x in ast.iter_child_nodes(node)])
if is_pure:
self.result.add(node)
return is_pure
def generic_visit(self, node):
is_pure = all(map(self.visit, ast.iter_child_nodes(node)))
if is_pure:
self.result.add(node)
return is_pure
def generic_visit(self, node):
is_pure = all(map(self.visit, ast.iter_child_nodes(node)))
if is_pure:
self.result.add(node)
return is_pure
