def modify_node(self, node):
"""Modifies the ``ast.Call`` node's keywords to include ``framework_version``.
The ``framework_version`` value is determined by the framework:
- Chainer: "4.1.0"
- MXNet: "1.2.0"
- PyTorch: "0.4.0"
- SKLearn: "0.20.0"
- TensorFlow: "1.11.0"
The ``py_version`` value is determined by the framework, framework_version, and if it is a
model, whether the model accepts a py_version
Args:
node (ast.Call): a node that represents the constructor of a framework class.
Returns:
ast.AST: the original node, which has been potentially modified.
"""
framework, is_model = _framework_from_node(node)
# if framework_version is not supplied, get default and append keyword
if matching.has_arg(node, FRAMEWORK_ARG):
framework_version = parsing.arg_value(node, FRAMEWORK_ARG)
else:
framework_version = FRAMEWORK_DEFAULTS[framework]
node.keywords.append(
ast.keyword(arg=FRAMEWORK_ARG,
value=ast.Str(s=framework_version)))
# if py_version is not supplied, get a conditional default, and if not None, append keyword
if not matching.has_arg(node, PY_ARG):
py_version = _py_version_defaults(framework, framework_version,
is_model)
if py_version:
node.keywords.append(
ast.keyword(arg=PY_ARG, value=ast.Str(s=py_version)))
return node
def _version_args_needed(node):
"""Determines if image_arg or version_arg was supplied
Applies similar logic as ``validate_version_or_image_args``
"""
# if image_arg is present, no need to supply version arguments
if matching.has_arg(node, IMAGE_ARG):
return False
# if framework_version is None, need args
if matching.has_arg(node, FRAMEWORK_ARG):
framework_version = parsing.arg_value(node, FRAMEWORK_ARG)
else:
return True
# check if we expect py_version and we don't get it -- framework and model dependent
framework, is_model = _framework_from_node(node)
expecting_py_version = _py_version_defaults(framework, framework_version,
is_model)
if expecting_py_version:
return not matching.has_arg(node, PY_ARG)
return False
def node_should_be_modified(self, node):
"""Checks if the node matches any of the relevant functions and
contains the parameter to be renamed.
Args:
node (ast.Call): a node that represents a function call. For more,
see https://docs.python.org/3/library/ast.html#abstract-grammar.
Returns:
bool: If the ``ast.Call`` matches the relevant function calls and
contains the parameter to be renamed.
"""
return matching.matches_any(node, self.calls_to_modify) and matching.has_arg(
node, self.old_param_name
)
def test_has_arg():
assert matching.has_arg(ast_call("MXNet(framework_version=mxnet_version)"),
"framework_version")
assert not matching.has_arg(ast_call("MXNet()"), "framework_version")
