def standard_analysis(node, context, is_initial=False):
"""Performs a complete static analysis of the given code.
Args:
node: ast.AST
context: converter.EntityContext
is_initial: bool, whether this is the initial analysis done on the input
source code
Returns:
ast.AST, same as node, with the static analysis annotations added
"""
# TODO(mdan): Clear static analysis here.
# TODO(mdan): Consider not running all analyses every time.
# TODO(mdan): Don't return a node because it's modified by reference.
graphs = cfg.build(node)
node = qual_names.resolve(node)
node = activity.resolve(node, context.info, None)
node = reaching_definitions.resolve(node, context.info, graphs, AnnotatedDef)
node = liveness.resolve(node, context.info, graphs)
node = live_values.resolve(node, context.info, config.PYTHON_LITERALS)
node = type_info.resolve(node, context.info)
# This second call allows resolving first-order class attributes.
node = live_values.resolve(node, context.info, config.PYTHON_LITERALS)
if is_initial:
anno.dup(
node,
{
anno.Static.DEFINITIONS: anno.Static.ORIG_DEFINITIONS,
},
)
return node
def standard_analysis(node, context, is_initial=False):
"""Performs a complete static analysis of the given code.
Args:
node: ast.AST
context: converter.EntityContext
is_initial: bool, whether this is the initial analysis done on the input
source code
Returns:
ast.AST, same as node, with the static analysis annotations added
"""
# TODO(mdan): Clear static analysis here.
# TODO(mdan): Consider not running all analyses every time.
# TODO(mdan): Don't return a node because it's modified by reference.
graphs = cfg.build(node)
node = qual_names.resolve(node)
node = activity.resolve(node, context, None)
node = reaching_definitions.resolve(node, context, graphs, AnnotatedDef)
node = liveness.resolve(node, context, graphs)
node = live_values.resolve(node, context, config.PYTHON_LITERALS)
node = type_info.resolve(node, context)
# This second call allows resolving first-order class attributes.
node = live_values.resolve(node, context, config.PYTHON_LITERALS)
if is_initial:
anno.dup(
node,
{
anno.Static.DEFINITIONS: anno.Static.ORIG_DEFINITIONS,
},
)
return node
def prepare(self, test_fn, namespace, recursive=True):
namespace['ConversionOptions'] = converter.ConversionOptions
future_features = ('print_function', 'division')
node, source = parser.parse_entity(test_fn, future_features=future_features)
namer = naming.Namer(namespace)
program_ctx = converter.ProgramContext(
options=converter.ConversionOptions(recursive=recursive),
autograph_module=None)
entity_info = transformer.EntityInfo(
name=test_fn.__name__,
source_code=source,
source_file='<fragment>',
future_features=future_features,
namespace=namespace)
ctx = transformer.Context(entity_info, namer, program_ctx)
origin_info.resolve_entity(node, source, test_fn)
graphs = cfg.build(node)
node = qual_names.resolve(node)
node = activity.resolve(node, ctx, None)
node = reaching_definitions.resolve(node, ctx, graphs)
anno.dup(
node,
{
anno.Static.DEFINITIONS: anno.Static.ORIG_DEFINITIONS,
},
)
return node, ctx
def transform_ast(self, node, ctx):
# TODO(mdan): Insert list_comprehensions somewhere.
unsupported_features_checker.verify(node)
# Run initial analysis.
graphs = cfg.build(node)
node = qual_names.resolve(node)
node = activity.resolve(node, ctx, None)
node = reaching_definitions.resolve(node, ctx, graphs)
anno.dup(
node,
{
anno.Static.DEFINITIONS: anno.Static.ORIG_DEFINITIONS,
},
)
node = functions.transform(node, ctx)
node = directives.transform(node, ctx)
node = break_statements.transform(node, ctx)
if ctx.user.options.uses(converter.Feature.ASSERT_STATEMENTS):
node = asserts.transform(node, ctx)
# Note: sequencing continue canonicalization before for loop one avoids
# dealing with the extra loop increment operation that the for
# canonicalization creates.
node = continue_statements.transform(node, ctx)
node = return_statements.transform(node, ctx)
if ctx.user.options.uses(converter.Feature.LISTS):
node = lists.transform(node, ctx)
node = slices.transform(node, ctx)
node = call_trees.transform(node, ctx)
node = control_flow.transform(node, ctx)
node = conditional_expressions.transform(node, ctx)
node = logical_expressions.transform(node, ctx)
return node
def initial_analysis(self, node, ctx):
graphs = cfg.build(node)
node = qual_names.resolve(node)
node = activity.resolve(node, ctx, None)
node = reaching_definitions.resolve(node, ctx, graphs)
anno.dup(
node,
{
anno.Static.DEFINITIONS: anno.Static.ORIG_DEFINITIONS,
},
)
return node
def test_duplicate(self):
node = ast.If(test=ast.Num(1),
body=[ast.Expr(ast.Name('bar', ast.Load()))],
orelse=[])
anno.setanno(node, 'spam', 1)
anno.setanno(node, 'ham', 1)
anno.setanno(node.body[0], 'ham', 1)
anno.dup(node, {'spam': 'eggs'})
self.assertTrue(anno.hasanno(node, 'spam'))
self.assertTrue(anno.hasanno(node, 'ham'))
self.assertTrue(anno.hasanno(node, 'eggs'))
self.assertFalse(anno.hasanno(node.body[0], 'eggs'))
def test_duplicate(self):
node = ast.If(
test=ast.Num(1),
body=[ast.Expr(ast.Name('bar', ast.Load()))],
orelse=[])
anno.setanno(node, 'spam', 1)
anno.setanno(node, 'ham', 1)
anno.setanno(node.body[0], 'ham', 1)
anno.dup(node, {'spam': 'eggs'})
self.assertTrue(anno.hasanno(node, 'spam'))
self.assertTrue(anno.hasanno(node, 'ham'))
self.assertTrue(anno.hasanno(node, 'eggs'))
self.assertFalse(anno.hasanno(node.body[0], 'eggs'))
