def class_to_graph(c, conversion_map):
"""Specialization of `entity_to_graph` for classes."""
converted_members = {}
members = tf_inspect.getmembers(c, predicate=tf_inspect.ismethod)
if not members:
raise ValueError('Cannot convert %s: it has no member methods.')
class_globals = None
for _, m in members:
node, _ = function_to_graph(
m,
conversion_map=conversion_map,
arg_values={},
arg_types={'self': (c.__name__, c)},
owner_type=c)
# TODO(mdan): Do not assume all members have the same view of globals.
if class_globals is None:
class_globals = six.get_function_globals(m)
converted_members[m] = node
namer = conversion_map.new_namer(class_globals)
class_name = namer.compiled_class_name(c.__name__, c)
node = gast.ClassDef(
class_name,
bases=[],
keywords=[],
body=converted_members.values(),
decorator_list=[])
return node, class_name
def class_to_graph(c, conversion_map, param_value_hints):
"""Specialization of `object_to_graph` for classes."""
converted_members = {}
members = tf_inspect.getmembers(c, predicate=tf_inspect.ismethod)
if not members:
raise ValueError('Cannot convert %s: it has no member methods.')
if 'self' in param_value_hints:
raise ValueError('Hints may not be provided for reserved name "self".')
param_value_hints['self'] = (c.__name__, c)
class_globals = None
for _, m in members:
node, _ = function_to_graph(m, conversion_map, param_value_hints, c)
# TODO(mdan): Do not assume all members have the same view of globals.
if class_globals is None:
class_globals = six.get_function_globals(m)
converted_members[m] = node
namer = conversion_map.new_namer(class_globals)
class_name = namer.compiled_class_name(c.__name__, c)
node = gast.ClassDef(
class_name,
bases=[],
keywords=[],
body=converted_members.values(),
decorator_list=[])
return node, class_name
def class_to_graph(c, conversion_map):
"""Specialization of `entity_to_graph` for classes."""
converted_members = {}
method_filter = lambda m: tf_inspect.isfunction(m) or tf_inspect.ismethod(m
)
members = tf_inspect.getmembers(c, predicate=method_filter)
if not members:
raise ValueError('Cannot convert %s: it has no member methods.' % c)
class_namespace = {}
for _, m in members:
node, _, namespace = function_to_graph(
m,
conversion_map=conversion_map,
arg_values={},
arg_types={'self': (c.__name__, c)},
owner_type=c)
if class_namespace is None:
class_namespace = namespace
else:
class_namespace.update(namespace)
converted_members[m] = node
namer = conversion_map.new_namer(class_namespace)
class_name = namer.compiled_class_name(c.__name__, c)
node = gast.ClassDef(class_name,
bases=[],
keywords=[],
body=list(converted_members.values()),
decorator_list=[])
return node, class_name, class_namespace
def visit_ClassDef(self, node):
new_node = gast.ClassDef(
self._visit(node.name),
self._visit(node.bases),
[], # keywords
self._visit(node.body),
self._visit(node.decorator_list),
)
ast.copy_location(new_node, node)
return new_node
def visit_ClassDef(self, node):
new_node = gast.ClassDef(
self._visit(node.name),
self._visit(node.bases),
[], # keywords
self._visit(node.body),
self._visit(node.decorator_list),
)
gast.copy_location(new_node, node)
new_node.end_lineno = new_node.end_col_offset = None
return new_node
def class_to_graph(c, program_ctx):
"""Specialization of `entity_to_graph` for classes."""
converted_members = {}
method_filter = lambda m: tf_inspect.isfunction(m) or tf_inspect.ismethod(m
)
members = tf_inspect.getmembers(c, predicate=method_filter)
if not members:
raise ValueError('Cannot convert %s: it has no member methods.' % c)
class_namespace = {}
for _, m in members:
# Only convert the members that are directly defined by the class.
if inspect_utils.getdefiningclass(m, c) is not c:
continue
node, _, namespace = function_to_graph(
m,
program_ctx=program_ctx,
arg_values={},
arg_types={'self': (c.__name__, c)},
owner_type=c)
if class_namespace is None:
class_namespace = namespace
else:
class_namespace.update(namespace)
converted_members[m] = node[0]
namer = program_ctx.new_namer(class_namespace)
class_name = namer.compiled_class_name(c.__name__, c)
# TODO(mdan): This needs to be explained more thoroughly.
# Process any base classes: if the superclass if of a whitelisted type, an
# absolute import line is generated. Otherwise, it is marked for conversion
# (as a side effect of the call to namer.compiled_class_name() followed by
# program_ctx.update_name_map(namer)).
output_nodes = []
renames = {}
base_names = []
for base in c.__bases__:
if isinstance(object, base):
base_names.append('object')
continue
if is_whitelisted_for_graph(base):
alias = namer.new_symbol(base.__name__, ())
output_nodes.append(
gast.ImportFrom(
module=base.__module__,
names=[gast.alias(name=base.__name__, asname=alias)],
level=0))
else:
# This will trigger a conversion into a class with this name.
alias = namer.compiled_class_name(base.__name__, base)
base_names.append(alias)
renames[qual_names.QN(base.__name__)] = qual_names.QN(alias)
program_ctx.update_name_map(namer)
# Generate the definition of the converted class.
bases = [gast.Name(n, gast.Load(), None) for n in base_names]
class_def = gast.ClassDef(class_name,
bases=bases,
keywords=[],
body=list(converted_members.values()),
decorator_list=[])
# Make a final pass to replace references to the class or its base classes.
# Most commonly, this occurs when making super().__init__() calls.
# TODO(mdan): Making direct references to superclass' superclass will fail.
class_def = qual_names.resolve(class_def)
renames[qual_names.QN(c.__name__)] = qual_names.QN(class_name)
class_def = ast_util.rename_symbols(class_def, renames)
output_nodes.append(class_def)
return output_nodes, class_name, class_namespace
def convert_class_to_ast(c, program_ctx):
"""Specialization of `convert_entity_to_ast` for classes."""
# TODO(mdan): Revisit this altogether. Not sure we still need it.
converted_members = {}
method_filter = lambda m: tf_inspect.isfunction(m) or tf_inspect.ismethod(m
)
members = tf_inspect.getmembers(c, predicate=method_filter)
if not members:
raise ValueError('cannot convert %s: no member methods' % c)
# TODO(mdan): Don't clobber namespaces for each method in one class namespace.
# The assumption that one namespace suffices for all methods only holds if
# all methods were defined in the same module.
# If, instead, functions are imported from multiple modules and then spliced
# into the class, then each function has its own globals and __future__
# imports that need to stay separate.
# For example, C's methods could both have `global x` statements referring to
# mod1.x and mod2.x, but using one namespace for C would cause a conflict.
# from mod1 import f1
# from mod2 import f2
# class C(object):
# method1 = f1
# method2 = f2
class_namespace = {}
future_features = None
for _, m in members:
# Only convert the members that are directly defined by the class.
if inspect_utils.getdefiningclass(m, c) is not c:
continue
(node, ), _, entity_info = convert_func_to_ast(m,
program_ctx=program_ctx,
do_rename=False)
class_namespace.update(entity_info.namespace)
converted_members[m] = node
# TODO(mdan): Similarly check the globals.
if future_features is None:
future_features = entity_info.future_features
elif frozenset(future_features) ^ frozenset(
entity_info.future_features):
# Note: we can support this case if ever needed.
raise ValueError(
'cannot convert {}: if has methods built with mismatched future'
' features: {} and {}'.format(c, future_features,
entity_info.future_features))
namer = naming.Namer(class_namespace)
class_name = namer.class_name(c.__name__)
# Process any base classes: if the superclass if of a whitelisted type, an
# absolute import line is generated.
output_nodes = []
renames = {}
base_names = []
for base in c.__bases__:
if isinstance(object, base):
base_names.append('object')
continue
if is_whitelisted_for_graph(base):
alias = namer.new_symbol(base.__name__, ())
output_nodes.append(
gast.ImportFrom(
module=base.__module__,
names=[gast.alias(name=base.__name__, asname=alias)],
level=0))
else:
raise NotImplementedError(
'Conversion of classes that do not directly extend classes from'
' whitelisted modules is temporarily suspended. If this breaks'
' existing code please notify the AutoGraph team immediately.')
base_names.append(alias)
renames[qual_names.QN(base.__name__)] = qual_names.QN(alias)
# Generate the definition of the converted class.
bases = [gast.Name(n, gast.Load(), None) for n in base_names]
class_def = gast.ClassDef(class_name,
bases=bases,
keywords=[],
body=list(converted_members.values()),
decorator_list=[])
# Make a final pass to replace references to the class or its base classes.
# Most commonly, this occurs when making super().__init__() calls.
# TODO(mdan): Making direct references to superclass' superclass will fail.
class_def = qual_names.resolve(class_def)
renames[qual_names.QN(c.__name__)] = qual_names.QN(class_name)
class_def = ast_util.rename_symbols(class_def, renames)
output_nodes.append(class_def)
# TODO(mdan): Find a way better than forging this object.
entity_info = transformer.EntityInfo(source_code=None,
source_file=None,
future_features=future_features,
namespace=class_namespace)
return output_nodes, class_name, entity_info
def class_to_graph(c, program_ctx):
"""Specialization of `entity_to_graph` for classes."""
# TODO(mdan): Revisit this altogether. Not sure we still need it.
converted_members = {}
method_filter = lambda m: tf_inspect.isfunction(m) or tf_inspect.ismethod(m
)
members = tf_inspect.getmembers(c, predicate=method_filter)
if not members:
raise ValueError('Cannot convert %s: it has no member methods.' % c)
class_namespace = {}
for _, m in members:
# Only convert the members that are directly defined by the class.
if inspect_utils.getdefiningclass(m, c) is not c:
continue
nodes, _, namespace = function_to_graph(
m,
program_ctx=program_ctx,
arg_values={},
arg_types={'self': (c.__name__, c)},
do_rename=False)
if class_namespace is None:
class_namespace = namespace
else:
class_namespace.update(namespace)
converted_members[m] = nodes[0]
namer = naming.Namer(class_namespace)
class_name = namer.class_name(c.__name__)
# Process any base classes: if the superclass if of a whitelisted type, an
# absolute import line is generated.
output_nodes = []
renames = {}
base_names = []
for base in c.__bases__:
if isinstance(object, base):
base_names.append('object')
continue
if is_whitelisted_for_graph(base):
alias = namer.new_symbol(base.__name__, ())
output_nodes.append(
gast.ImportFrom(
module=base.__module__,
names=[gast.alias(name=base.__name__, asname=alias)],
level=0))
else:
raise NotImplementedError(
'Conversion of classes that do not directly extend classes from'
' whitelisted modules is temporarily suspended. If this breaks'
' existing code please notify the AutoGraph team immediately.')
base_names.append(alias)
renames[qual_names.QN(base.__name__)] = qual_names.QN(alias)
# Generate the definition of the converted class.
bases = [gast.Name(n, gast.Load(), None) for n in base_names]
class_def = gast.ClassDef(class_name,
bases=bases,
keywords=[],
body=list(converted_members.values()),
decorator_list=[])
# Make a final pass to replace references to the class or its base classes.
# Most commonly, this occurs when making super().__init__() calls.
# TODO(mdan): Making direct references to superclass' superclass will fail.
class_def = qual_names.resolve(class_def)
renames[qual_names.QN(c.__name__)] = qual_names.QN(class_name)
class_def = ast_util.rename_symbols(class_def, renames)
output_nodes.append(class_def)
return output_nodes, class_name, class_namespace
