import copy from itertools import chain from contextlib import contextmanager from jedi.parser.python import tree from jedi.parser_utils import get_parent_scope def deep_ast_copy(obj): """ Much, much faster than copy.deepcopy, but just for parser tree nodes. """ # If it's already in the cache, just return it. new_obj = copy.copy(obj) # Copy children new_children = [] for child in obj.children: if isinstance(child, tree.Leaf): new_child = copy.copy(child) new_child.parent = new_obj else: new_child = deep_ast_copy(child) new_child.parent = new_obj new_children.append(new_child) new_obj.children = new_children return new_obj def evaluate_call_of_leaf(context, leaf, cut_own_trailer=False): """ Creates a "call" node that consist of all ``trailer`` and ``power`` objects. E.g. if you call it with ``append``:: list([]).append(3) or None You would get a node with the content ``list([]).append`` back. This generates a copy of the original ast node. If you're using the leaf, e.g. the bracket `)` it will return ``list([])``. # TODO remove cut_own_trailer option, since its always used with it. Just # ignore it, It's not what we want anyway. Or document it better? """ trailer = leaf.parent # The leaf may not be the last or first child, because there exist three # different trailers: `( x )`, `[ x ]` and `.x`. In the first two examples # we should not match anything more than x. if trailer.type != 'trailer' or leaf not in (trailer.children[0], trailer.children[-1]): if trailer.type == 'atom': return context.eval_node(trailer) return context.eval_node(leaf) power = trailer.parent index = power.children.index(trailer) if cut_own_trailer: cut = index else: cut = index + 1 if power.type == 'error_node': start = index while True: start -= 1 base = power.children[start] if base.type != 'trailer': break trailers = power.children[start + 1: index + 1] else: base = power.children[0] trailers = power.children[1:cut] values = context.eval_node(base) for trailer in trailers: values = context.eval_trailer(values, trailer) return values def call_of_leaf(leaf): """ Creates a "call" node that consist of all ``trailer`` and ``power`` objects. E.g. if you call it with ``append``:: list([]).append(3) or None You would get a node with the content ``list([]).append`` back. This generates a copy of the original ast node. If you're using the leaf, e.g. the bracket `)` it will return ``list([])``. """ # TODO this is the old version of this call. Try to remove it. trailer = leaf.parent # The leaf may not be the last or first child, because there exist three # different trailers: `( x )`, `[ x ]` and `.x`. In the first two examples # we should not match anything more than x. if trailer.type != 'trailer' or leaf not in (trailer.children[0], trailer.children[-1]): if trailer.type == 'atom': return trailer return leaf power = trailer.parent index = power.children.index(trailer) new_power = copy.copy(power) new_power.children = list(new_power.children) new_power.children[index + 1:] = [] if power.type == 'error_node': start = index while True: start -= 1 if power.children[start].type != 'trailer': break transformed = tree.Node('power', power.children[start:]) transformed.parent = power.parent return transformed return power def get_names_of_node(node): try: children = node.children except AttributeError: if node.type == 'name': return [node] else: return [] else: return list(chain.from_iterable(get_names_of_node(c) for c in children)) def get_module_names(module, all_scopes): """ Returns a dictionary with name parts as keys and their call paths as values. """ names = chain.from_iterable(module.get_used_names().values()) if not all_scopes: # We have to filter all the names that don't have the module as a # parent_scope. There's None as a parent, because nodes in the module # node have the parent module and not suite as all the others. # Therefore it's important to catch that case. names = [n for n in names if get_parent_scope(n).parent in (module, None)] return names @contextmanager def predefine_names(context, flow_scope, dct): predefined = context.predefined_names if flow_scope in predefined: raise NotImplementedError('Why does this happen?') predefined[flow_scope] = dct try: yield finally: del predefined[flow_scope]