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Python parse tree definitions.
This is a very concrete parse tree; we need to keep every token and
even the comments and whitespace between tokens.
There's also a pattern matching implementation here.
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Abstract base class for Node and Leaf.
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A node may be a subnode of at most one parent.
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Compare two nodes for equality.
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ignoring the prefix string and other context information.
N)�NotImplementedError)r r r
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Return a pre-order iterator for the tree.
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The node immediately preceding the invocant in their parent's children
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Initializer.
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Equivalent to 'node.children[i] = child'. This method also sets the
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Convert raw node information to a Node or Leaf instance.
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grammar rule produces a new complete node, so that the tree is build
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A pattern is a tree matching pattern.
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- NodePattern matches a single node (usually non-leaf);
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A subclass can define this as a hook for optimizations.
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Does this pattern exactly match a node?
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Does this pattern exactly match a sequence of nodes?
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Generator yielding all matches for this pattern.
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Initializer. Takes optional type, content, and name.
The type, if given must be a token type (< 256). If not given,
this matches any *leaf* node; the content may still be required.
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If a name is given, the matching node is stored in the results
dict under that key.
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Match the pattern's content to the node's children.
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Initializer. Takes optional type, content, and name.
The type, if given, must be a symbol type (>= 256). If the
type is None this matches *any* single node (leaf or not),
except if content is not None, in which it only matches
non-leaf nodes that also match the content pattern.
The content, if not None, must be a sequence of Patterns that
must match the node's children exactly. If the content is
given, the type must not be None.
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dict under that key.
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Match the pattern's content to the node's children.
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Returns True if it matches, False if not.
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updated with the nodes matching named subpatterns.
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A wildcard pattern can match zero or more nodes.
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except it always uses non-greedy matching.
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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
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count: the match comprises nodes[:count];
results: dict containing named submatches.
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Generator yielding matches for a sequence of patterns and nodes.
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nodes: a sequence of nodes
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results: dict containing named submatches.
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