854 lines
27 KiB
Python
854 lines
27 KiB
Python
# Copyright 2006 Google, Inc. All Rights Reserved.
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# Licensed to PSF under a Contributor Agreement.
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"""
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Python parse tree definitions.
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This is a very concrete parse tree; we need to keep every token and
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even the comments and whitespace between tokens.
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There's also a pattern matching implementation here.
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"""
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__author__ = "Guido van Rossum <guido@python.org>"
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import sys
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import warnings
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from io import StringIO
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HUGE = 0x7FFFFFFF # maximum repeat count, default max
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_type_reprs = {}
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def type_repr(type_num):
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global _type_reprs
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if not _type_reprs:
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from .pygram import python_symbols
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# printing tokens is possible but not as useful
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# from .pgen2 import token // token.__dict__.items():
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for name, val in python_symbols.__dict__.items():
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if type(val) == int: _type_reprs[val] = name
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return _type_reprs.setdefault(type_num, type_num)
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class Base(object):
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"""
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Abstract base class for Node and Leaf.
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This provides some default functionality and boilerplate using the
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template pattern.
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A node may be a subnode of at most one parent.
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"""
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# Default values for instance variables
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type = None # int: token number (< 256) or symbol number (>= 256)
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parent = None # Parent node pointer, or None
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children = () # Tuple of subnodes
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was_changed = False
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was_checked = False
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def __new__(cls, *args, **kwds):
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"""Constructor that prevents Base from being instantiated."""
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assert cls is not Base, "Cannot instantiate Base"
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return object.__new__(cls)
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def __eq__(self, other):
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"""
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Compare two nodes for equality.
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This calls the method _eq().
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"""
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if self.__class__ is not other.__class__:
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return NotImplemented
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return self._eq(other)
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__hash__ = None # For Py3 compatibility.
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def _eq(self, other):
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"""
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Compare two nodes for equality.
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This is called by __eq__ and __ne__. It is only called if the two nodes
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have the same type. This must be implemented by the concrete subclass.
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Nodes should be considered equal if they have the same structure,
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ignoring the prefix string and other context information.
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"""
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raise NotImplementedError
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def clone(self):
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"""
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Return a cloned (deep) copy of self.
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This must be implemented by the concrete subclass.
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"""
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raise NotImplementedError
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def post_order(self):
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"""
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Return a post-order iterator for the tree.
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This must be implemented by the concrete subclass.
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"""
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raise NotImplementedError
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def pre_order(self):
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"""
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Return a pre-order iterator for the tree.
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This must be implemented by the concrete subclass.
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"""
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raise NotImplementedError
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def replace(self, new):
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"""Replace this node with a new one in the parent."""
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assert self.parent is not None, str(self)
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assert new is not None
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if not isinstance(new, list):
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new = [new]
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l_children = []
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found = False
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for ch in self.parent.children:
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if ch is self:
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assert not found, (self.parent.children, self, new)
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if new is not None:
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l_children.extend(new)
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found = True
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else:
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l_children.append(ch)
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assert found, (self.children, self, new)
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self.parent.changed()
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self.parent.children = l_children
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for x in new:
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x.parent = self.parent
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self.parent = None
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def get_lineno(self):
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"""Return the line number which generated the invocant node."""
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node = self
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while not isinstance(node, Leaf):
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if not node.children:
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return
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node = node.children[0]
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return node.lineno
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def changed(self):
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if self.parent:
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self.parent.changed()
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self.was_changed = True
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def remove(self):
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"""
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Remove the node from the tree. Returns the position of the node in its
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parent's children before it was removed.
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"""
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if self.parent:
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for i, node in enumerate(self.parent.children):
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if node is self:
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self.parent.changed()
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del self.parent.children[i]
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self.parent = None
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return i
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@property
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def next_sibling(self):
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"""
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The node immediately following the invocant in their parent's children
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list. If the invocant does not have a next sibling, it is None
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"""
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if self.parent is None:
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return None
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# Can't use index(); we need to test by identity
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for i, child in enumerate(self.parent.children):
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if child is self:
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try:
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return self.parent.children[i+1]
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except IndexError:
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return None
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@property
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def prev_sibling(self):
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"""
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The node immediately preceding the invocant in their parent's children
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list. If the invocant does not have a previous sibling, it is None.
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"""
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if self.parent is None:
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return None
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# Can't use index(); we need to test by identity
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for i, child in enumerate(self.parent.children):
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if child is self:
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if i == 0:
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return None
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return self.parent.children[i-1]
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def leaves(self):
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for child in self.children:
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yield from child.leaves()
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def depth(self):
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if self.parent is None:
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return 0
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return 1 + self.parent.depth()
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def get_suffix(self):
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"""
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Return the string immediately following the invocant node. This is
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effectively equivalent to node.next_sibling.prefix
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"""
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next_sib = self.next_sibling
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if next_sib is None:
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return ""
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return next_sib.prefix
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if sys.version_info < (3, 0):
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def __str__(self):
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return str(self).encode("ascii")
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class Node(Base):
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"""Concrete implementation for interior nodes."""
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def __init__(self,type, children,
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context=None,
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prefix=None,
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fixers_applied=None):
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"""
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Initializer.
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Takes a type constant (a symbol number >= 256), a sequence of
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child nodes, and an optional context keyword argument.
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As a side effect, the parent pointers of the children are updated.
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"""
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assert type >= 256, type
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self.type = type
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self.children = list(children)
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for ch in self.children:
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assert ch.parent is None, repr(ch)
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ch.parent = self
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if prefix is not None:
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self.prefix = prefix
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if fixers_applied:
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self.fixers_applied = fixers_applied[:]
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else:
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self.fixers_applied = None
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def __repr__(self):
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"""Return a canonical string representation."""
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return "%s(%s, %r)" % (self.__class__.__name__,
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type_repr(self.type),
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self.children)
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def __unicode__(self):
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"""
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Return a pretty string representation.
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This reproduces the input source exactly.
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"""
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return "".join(map(str, self.children))
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if sys.version_info > (3, 0):
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__str__ = __unicode__
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def _eq(self, other):
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"""Compare two nodes for equality."""
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return (self.type, self.children) == (other.type, other.children)
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def clone(self):
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"""Return a cloned (deep) copy of self."""
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return Node(self.type, [ch.clone() for ch in self.children],
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fixers_applied=self.fixers_applied)
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def post_order(self):
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"""Return a post-order iterator for the tree."""
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for child in self.children:
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yield from child.post_order()
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yield self
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def pre_order(self):
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"""Return a pre-order iterator for the tree."""
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yield self
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for child in self.children:
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yield from child.pre_order()
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def _prefix_getter(self):
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"""
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The whitespace and comments preceding this node in the input.
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"""
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if not self.children:
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return ""
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return self.children[0].prefix
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def _prefix_setter(self, prefix):
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if self.children:
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self.children[0].prefix = prefix
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prefix = property(_prefix_getter, _prefix_setter)
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def set_child(self, i, child):
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"""
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Equivalent to 'node.children[i] = child'. This method also sets the
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child's parent attribute appropriately.
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"""
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child.parent = self
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self.children[i].parent = None
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self.children[i] = child
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self.changed()
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def insert_child(self, i, child):
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"""
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Equivalent to 'node.children.insert(i, child)'. This method also sets
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the child's parent attribute appropriately.
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"""
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child.parent = self
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self.children.insert(i, child)
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self.changed()
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def append_child(self, child):
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"""
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Equivalent to 'node.children.append(child)'. This method also sets the
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child's parent attribute appropriately.
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"""
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child.parent = self
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self.children.append(child)
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self.changed()
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class Leaf(Base):
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"""Concrete implementation for leaf nodes."""
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# Default values for instance variables
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_prefix = "" # Whitespace and comments preceding this token in the input
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lineno = 0 # Line where this token starts in the input
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column = 0 # Column where this token tarts in the input
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def __init__(self, type, value,
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context=None,
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prefix=None,
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fixers_applied=[]):
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"""
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Initializer.
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Takes a type constant (a token number < 256), a string value, and an
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optional context keyword argument.
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"""
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assert 0 <= type < 256, type
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if context is not None:
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self._prefix, (self.lineno, self.column) = context
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self.type = type
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self.value = value
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if prefix is not None:
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self._prefix = prefix
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self.fixers_applied = fixers_applied[:]
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def __repr__(self):
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"""Return a canonical string representation."""
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return "%s(%r, %r)" % (self.__class__.__name__,
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self.type,
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self.value)
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def __unicode__(self):
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"""
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Return a pretty string representation.
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This reproduces the input source exactly.
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"""
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return self.prefix + str(self.value)
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if sys.version_info > (3, 0):
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__str__ = __unicode__
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def _eq(self, other):
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"""Compare two nodes for equality."""
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return (self.type, self.value) == (other.type, other.value)
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def clone(self):
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"""Return a cloned (deep) copy of self."""
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return Leaf(self.type, self.value,
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(self.prefix, (self.lineno, self.column)),
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fixers_applied=self.fixers_applied)
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def leaves(self):
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yield self
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def post_order(self):
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"""Return a post-order iterator for the tree."""
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yield self
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def pre_order(self):
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"""Return a pre-order iterator for the tree."""
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yield self
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def _prefix_getter(self):
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"""
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The whitespace and comments preceding this token in the input.
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"""
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return self._prefix
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def _prefix_setter(self, prefix):
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self.changed()
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self._prefix = prefix
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prefix = property(_prefix_getter, _prefix_setter)
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def convert(gr, raw_node):
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"""
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Convert raw node information to a Node or Leaf instance.
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This is passed to the parser driver which calls it whenever a reduction of a
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grammar rule produces a new complete node, so that the tree is build
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strictly bottom-up.
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"""
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type, value, context, children = raw_node
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if children or type in gr.number2symbol:
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# If there's exactly one child, return that child instead of
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# creating a new node.
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if len(children) == 1:
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return children[0]
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return Node(type, children, context=context)
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else:
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return Leaf(type, value, context=context)
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class BasePattern(object):
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"""
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A pattern is a tree matching pattern.
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It looks for a specific node type (token or symbol), and
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optionally for a specific content.
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This is an abstract base class. There are three concrete
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subclasses:
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- LeafPattern matches a single leaf node;
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- NodePattern matches a single node (usually non-leaf);
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- WildcardPattern matches a sequence of nodes of variable length.
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"""
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# Defaults for instance variables
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type = None # Node type (token if < 256, symbol if >= 256)
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content = None # Optional content matching pattern
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name = None # Optional name used to store match in results dict
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def __new__(cls, *args, **kwds):
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"""Constructor that prevents BasePattern from being instantiated."""
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assert cls is not BasePattern, "Cannot instantiate BasePattern"
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return object.__new__(cls)
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def __repr__(self):
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args = [type_repr(self.type), self.content, self.name]
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while args and args[-1] is None:
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del args[-1]
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return "%s(%s)" % (self.__class__.__name__, ", ".join(map(repr, args)))
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def optimize(self):
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"""
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A subclass can define this as a hook for optimizations.
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Returns either self or another node with the same effect.
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"""
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return self
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def match(self, node, results=None):
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"""
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Does this pattern exactly match a node?
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Returns True if it matches, False if not.
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If results is not None, it must be a dict which will be
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updated with the nodes matching named subpatterns.
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Default implementation for non-wildcard patterns.
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"""
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if self.type is not None and node.type != self.type:
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return False
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if self.content is not None:
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r = None
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if results is not None:
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r = {}
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if not self._submatch(node, r):
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return False
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if r:
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results.update(r)
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if results is not None and self.name:
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results[self.name] = node
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return True
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def match_seq(self, nodes, results=None):
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"""
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Does this pattern exactly match a sequence of nodes?
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Default implementation for non-wildcard patterns.
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"""
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if len(nodes) != 1:
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return False
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return self.match(nodes[0], results)
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def generate_matches(self, nodes):
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"""
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Generator yielding all matches for this pattern.
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Default implementation for non-wildcard patterns.
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"""
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r = {}
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if nodes and self.match(nodes[0], r):
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yield 1, r
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class LeafPattern(BasePattern):
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def __init__(self, type=None, content=None, name=None):
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"""
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Initializer. Takes optional type, content, and name.
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The type, if given must be a token type (< 256). If not given,
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this matches any *leaf* node; the content may still be required.
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The content, if given, must be a string.
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If a name is given, the matching node is stored in the results
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dict under that key.
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"""
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if type is not None:
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assert 0 <= type < 256, type
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if content is not None:
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assert isinstance(content, str), repr(content)
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self.type = type
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self.content = content
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self.name = name
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def match(self, node, results=None):
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"""Override match() to insist on a leaf node."""
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if not isinstance(node, Leaf):
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return False
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return BasePattern.match(self, node, results)
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def _submatch(self, node, results=None):
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"""
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Match the pattern's content to the node's children.
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This assumes the node type matches and self.content is not None.
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Returns True if it matches, False if not.
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If results is not None, it must be a dict which will be
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updated with the nodes matching named subpatterns.
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When returning False, the results dict may still be updated.
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"""
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return self.content == node.value
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class NodePattern(BasePattern):
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wildcards = False
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def __init__(self, type=None, content=None, name=None):
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"""
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Initializer. Takes optional type, content, and name.
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The type, if given, must be a symbol type (>= 256). If the
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type is None this matches *any* single node (leaf or not),
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except if content is not None, in which it only matches
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non-leaf nodes that also match the content pattern.
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The content, if not None, must be a sequence of Patterns that
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must match the node's children exactly. If the content is
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given, the type must not be None.
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If a name is given, the matching node is stored in the results
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dict under that key.
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"""
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if type is not None:
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assert type >= 256, type
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if content is not None:
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assert not isinstance(content, str), repr(content)
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content = list(content)
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for i, item in enumerate(content):
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assert isinstance(item, BasePattern), (i, item)
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if isinstance(item, WildcardPattern):
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self.wildcards = True
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self.type = type
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self.content = content
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self.name = name
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def _submatch(self, node, results=None):
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"""
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Match the pattern's content to the node's children.
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This assumes the node type matches and self.content is not None.
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Returns True if it matches, False if not.
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If results is not None, it must be a dict which will be
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updated with the nodes matching named subpatterns.
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When returning False, the results dict may still be updated.
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"""
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if self.wildcards:
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for c, r in generate_matches(self.content, node.children):
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if c == len(node.children):
|
|
if results is not None:
|
|
results.update(r)
|
|
return True
|
|
return False
|
|
if len(self.content) != len(node.children):
|
|
return False
|
|
for subpattern, child in zip(self.content, node.children):
|
|
if not subpattern.match(child, results):
|
|
return False
|
|
return True
|
|
|
|
|
|
class WildcardPattern(BasePattern):
|
|
|
|
"""
|
|
A wildcard pattern can match zero or more nodes.
|
|
|
|
This has all the flexibility needed to implement patterns like:
|
|
|
|
.* .+ .? .{m,n}
|
|
(a b c | d e | f)
|
|
(...)* (...)+ (...)? (...){m,n}
|
|
|
|
except it always uses non-greedy matching.
|
|
"""
|
|
|
|
def __init__(self, content=None, min=0, max=HUGE, name=None):
|
|
"""
|
|
Initializer.
|
|
|
|
Args:
|
|
content: optional sequence of subsequences of patterns;
|
|
if absent, matches one node;
|
|
if present, each subsequence is an alternative [*]
|
|
min: optional minimum number of times to match, default 0
|
|
max: optional maximum number of times to match, default HUGE
|
|
name: optional name assigned to this match
|
|
|
|
[*] Thus, if content is [[a, b, c], [d, e], [f, g, h]] this is
|
|
equivalent to (a b c | d e | f g h); if content is None,
|
|
this is equivalent to '.' in regular expression terms.
|
|
The min and max parameters work as follows:
|
|
min=0, max=maxint: .*
|
|
min=1, max=maxint: .+
|
|
min=0, max=1: .?
|
|
min=1, max=1: .
|
|
If content is not None, replace the dot with the parenthesized
|
|
list of alternatives, e.g. (a b c | d e | f g h)*
|
|
"""
|
|
assert 0 <= min <= max <= HUGE, (min, max)
|
|
if content is not None:
|
|
content = tuple(map(tuple, content)) # Protect against alterations
|
|
# Check sanity of alternatives
|
|
assert len(content), repr(content) # Can't have zero alternatives
|
|
for alt in content:
|
|
assert len(alt), repr(alt) # Can have empty alternatives
|
|
self.content = content
|
|
self.min = min
|
|
self.max = max
|
|
self.name = name
|
|
|
|
def optimize(self):
|
|
"""Optimize certain stacked wildcard patterns."""
|
|
subpattern = None
|
|
if (self.content is not None and
|
|
len(self.content) == 1 and len(self.content[0]) == 1):
|
|
subpattern = self.content[0][0]
|
|
if self.min == 1 and self.max == 1:
|
|
if self.content is None:
|
|
return NodePattern(name=self.name)
|
|
if subpattern is not None and self.name == subpattern.name:
|
|
return subpattern.optimize()
|
|
if (self.min <= 1 and isinstance(subpattern, WildcardPattern) and
|
|
subpattern.min <= 1 and self.name == subpattern.name):
|
|
return WildcardPattern(subpattern.content,
|
|
self.min*subpattern.min,
|
|
self.max*subpattern.max,
|
|
subpattern.name)
|
|
return self
|
|
|
|
def match(self, node, results=None):
|
|
"""Does this pattern exactly match a node?"""
|
|
return self.match_seq([node], results)
|
|
|
|
def match_seq(self, nodes, results=None):
|
|
"""Does this pattern exactly match a sequence of nodes?"""
|
|
for c, r in self.generate_matches(nodes):
|
|
if c == len(nodes):
|
|
if results is not None:
|
|
results.update(r)
|
|
if self.name:
|
|
results[self.name] = list(nodes)
|
|
return True
|
|
return False
|
|
|
|
def generate_matches(self, nodes):
|
|
"""
|
|
Generator yielding matches for a sequence of nodes.
|
|
|
|
Args:
|
|
nodes: sequence of nodes
|
|
|
|
Yields:
|
|
(count, results) tuples where:
|
|
count: the match comprises nodes[:count];
|
|
results: dict containing named submatches.
|
|
"""
|
|
if self.content is None:
|
|
# Shortcut for special case (see __init__.__doc__)
|
|
for count in range(self.min, 1 + min(len(nodes), self.max)):
|
|
r = {}
|
|
if self.name:
|
|
r[self.name] = nodes[:count]
|
|
yield count, r
|
|
elif self.name == "bare_name":
|
|
yield self._bare_name_matches(nodes)
|
|
else:
|
|
# The reason for this is that hitting the recursion limit usually
|
|
# results in some ugly messages about how RuntimeErrors are being
|
|
# ignored. We only have to do this on CPython, though, because other
|
|
# implementations don't have this nasty bug in the first place.
|
|
if hasattr(sys, "getrefcount"):
|
|
save_stderr = sys.stderr
|
|
sys.stderr = StringIO()
|
|
try:
|
|
for count, r in self._recursive_matches(nodes, 0):
|
|
if self.name:
|
|
r[self.name] = nodes[:count]
|
|
yield count, r
|
|
except RuntimeError:
|
|
# We fall back to the iterative pattern matching scheme if the recursive
|
|
# scheme hits the recursion limit.
|
|
for count, r in self._iterative_matches(nodes):
|
|
if self.name:
|
|
r[self.name] = nodes[:count]
|
|
yield count, r
|
|
finally:
|
|
if hasattr(sys, "getrefcount"):
|
|
sys.stderr = save_stderr
|
|
|
|
def _iterative_matches(self, nodes):
|
|
"""Helper to iteratively yield the matches."""
|
|
nodelen = len(nodes)
|
|
if 0 >= self.min:
|
|
yield 0, {}
|
|
|
|
results = []
|
|
# generate matches that use just one alt from self.content
|
|
for alt in self.content:
|
|
for c, r in generate_matches(alt, nodes):
|
|
yield c, r
|
|
results.append((c, r))
|
|
|
|
# for each match, iterate down the nodes
|
|
while results:
|
|
new_results = []
|
|
for c0, r0 in results:
|
|
# stop if the entire set of nodes has been matched
|
|
if c0 < nodelen and c0 <= self.max:
|
|
for alt in self.content:
|
|
for c1, r1 in generate_matches(alt, nodes[c0:]):
|
|
if c1 > 0:
|
|
r = {}
|
|
r.update(r0)
|
|
r.update(r1)
|
|
yield c0 + c1, r
|
|
new_results.append((c0 + c1, r))
|
|
results = new_results
|
|
|
|
def _bare_name_matches(self, nodes):
|
|
"""Special optimized matcher for bare_name."""
|
|
count = 0
|
|
r = {}
|
|
done = False
|
|
max = len(nodes)
|
|
while not done and count < max:
|
|
done = True
|
|
for leaf in self.content:
|
|
if leaf[0].match(nodes[count], r):
|
|
count += 1
|
|
done = False
|
|
break
|
|
r[self.name] = nodes[:count]
|
|
return count, r
|
|
|
|
def _recursive_matches(self, nodes, count):
|
|
"""Helper to recursively yield the matches."""
|
|
assert self.content is not None
|
|
if count >= self.min:
|
|
yield 0, {}
|
|
if count < self.max:
|
|
for alt in self.content:
|
|
for c0, r0 in generate_matches(alt, nodes):
|
|
for c1, r1 in self._recursive_matches(nodes[c0:], count+1):
|
|
r = {}
|
|
r.update(r0)
|
|
r.update(r1)
|
|
yield c0 + c1, r
|
|
|
|
|
|
class NegatedPattern(BasePattern):
|
|
|
|
def __init__(self, content=None):
|
|
"""
|
|
Initializer.
|
|
|
|
The argument is either a pattern or None. If it is None, this
|
|
only matches an empty sequence (effectively '$' in regex
|
|
lingo). If it is not None, this matches whenever the argument
|
|
pattern doesn't have any matches.
|
|
"""
|
|
if content is not None:
|
|
assert isinstance(content, BasePattern), repr(content)
|
|
self.content = content
|
|
|
|
def match(self, node):
|
|
# We never match a node in its entirety
|
|
return False
|
|
|
|
def match_seq(self, nodes):
|
|
# We only match an empty sequence of nodes in its entirety
|
|
return len(nodes) == 0
|
|
|
|
def generate_matches(self, nodes):
|
|
if self.content is None:
|
|
# Return a match if there is an empty sequence
|
|
if len(nodes) == 0:
|
|
yield 0, {}
|
|
else:
|
|
# Return a match if the argument pattern has no matches
|
|
for c, r in self.content.generate_matches(nodes):
|
|
return
|
|
yield 0, {}
|
|
|
|
|
|
def generate_matches(patterns, nodes):
|
|
"""
|
|
Generator yielding matches for a sequence of patterns and nodes.
|
|
|
|
Args:
|
|
patterns: a sequence of patterns
|
|
nodes: a sequence of nodes
|
|
|
|
Yields:
|
|
(count, results) tuples where:
|
|
count: the entire sequence of patterns matches nodes[:count];
|
|
results: dict containing named submatches.
|
|
"""
|
|
if not patterns:
|
|
yield 0, {}
|
|
else:
|
|
p, rest = patterns[0], patterns[1:]
|
|
for c0, r0 in p.generate_matches(nodes):
|
|
if not rest:
|
|
yield c0, r0
|
|
else:
|
|
for c1, r1 in generate_matches(rest, nodes[c0:]):
|
|
r = {}
|
|
r.update(r0)
|
|
r.update(r1)
|
|
yield c0 + c1, r
|