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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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Compare two nodes for equality.
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ignoring the prefix string and other context information.
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The node immediately following the invocant in their parent's children
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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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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?
Returns True if it matches, False if not.
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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.
The content, if given, must be a string.
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.
NT)r! r1 r �WildcardPattern� wildcardsr ra r )r r ra r r2 �itemr
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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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zWildcardPattern.__init__c C s� d}| j dk r<t| j �dkr<t| j d �dkr<| j d d }| jdkr�| jdkr�| j dkrft| jd�S |dk r�| j|jkr�|j� S | jdkr�t|t�r�|jdkr�| j|jkr�t|j | j|j | j|j |j�S | S )z+Optimize certain stacked wildcard patterns.Nr r )r ) ra r] ru rv rm r rc r rn )r rs r
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count: the match comprises nodes[:count];
results: dict containing named submatches.
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|f� q�W q�W qrW |}qbW dS )z(Helper to iteratively yield the matches.r N)r] ru ra rk r% rv re ) r ri Znodelenrf rw rr rg Z new_results�c0�r0�c1�r1r
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z"WildcardPattern._iterative_matchesc C sx d}i }d}t |�}xH| r\||k r\d}x0| jD ]&}|d j|| |�r0|d7 }d}P q0W qW |d|� || j< ||fS )z(Special optimized matcher for bare_name.r FTr N)r] ra rh r )r ri r� rg �donerv Zleafr
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z"WildcardPattern._bare_name_matchesc c s� || j krdi fV || jk r�xr| jD ]h}xbt||�D ]T\}}xJ| j||d� |d �D ].\}}i }|j|� |j|� || |fV qXW q6W q&W dS )z(Helper to recursively yield the matches.r Nr )ru rv ra rk r} re ) r ri r� rw r� r� r� r� rg r
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Generator yielding matches for a sequence of patterns and nodes.
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patterns: a sequence of patterns
nodes: a sequence of nodes
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results: dict containing named submatches.
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