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Dependency tree pattern matcher (#3465)
* Functional dependency tree pattern matcher * Tests fail due to inconsistent behaviour * Renamed dependencymatcher and added optimizations
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@ -3,6 +3,6 @@ from __future__ import unicode_literals
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from .matcher import Matcher
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from .matcher import Matcher
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from .phrasematcher import PhraseMatcher
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from .phrasematcher import PhraseMatcher
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from .dependencymatcher import DependencyTreeMatcher
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from .dependencymatcher import DependencyMatcher
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__all__ = ["Matcher", "PhraseMatcher", "DependencyTreeMatcher"]
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__all__ = ["Matcher", "PhraseMatcher", "DependencyMatcher"]
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@ -12,13 +12,15 @@ from ..tokens.doc cimport Doc
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from .matcher import unpickle_matcher
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from .matcher import unpickle_matcher
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from ..errors import Errors
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from ..errors import Errors
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from libcpp cimport bool
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import numpy
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DELIMITER = "||"
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DELIMITER = "||"
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INDEX_HEAD = 1
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INDEX_HEAD = 1
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INDEX_RELOP = 0
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INDEX_RELOP = 0
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cdef class DependencyTreeMatcher:
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cdef class DependencyMatcher:
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"""Match dependency parse tree based on pattern rules."""
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"""Match dependency parse tree based on pattern rules."""
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cdef Pool mem
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cdef Pool mem
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cdef readonly Vocab vocab
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cdef readonly Vocab vocab
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@ -32,11 +34,11 @@ cdef class DependencyTreeMatcher:
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cdef public object _tree
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cdef public object _tree
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def __init__(self, vocab):
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def __init__(self, vocab):
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"""Create the DependencyTreeMatcher.
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"""Create the DependencyMatcher.
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vocab (Vocab): The vocabulary object, which must be shared with the
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vocab (Vocab): The vocabulary object, which must be shared with the
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documents the matcher will operate on.
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documents the matcher will operate on.
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RETURNS (DependencyTreeMatcher): The newly constructed object.
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RETURNS (DependencyMatcher): The newly constructed object.
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"""
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"""
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size = 20
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size = 20
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self.token_matcher = Matcher(vocab)
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self.token_matcher = Matcher(vocab)
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@ -199,7 +201,7 @@ cdef class DependencyTreeMatcher:
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return (self._callbacks[key], self._patterns[key])
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return (self._callbacks[key], self._patterns[key])
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def __call__(self, Doc doc):
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def __call__(self, Doc doc):
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matched_trees = []
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matched_key_trees = []
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matches = self.token_matcher(doc)
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matches = self.token_matcher(doc)
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for key in list(self._patterns.keys()):
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for key in list(self._patterns.keys()):
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_patterns_list = self._patterns[key]
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_patterns_list = self._patterns[key]
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@ -227,51 +229,36 @@ cdef class DependencyTreeMatcher:
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_nodes,_root
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_nodes,_root
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)
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)
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length = len(_nodes)
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length = len(_nodes)
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if _root in id_to_position:
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candidates = id_to_position[_root]
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matched_trees = []
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for candidate in candidates:
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self.recurse(_tree,id_to_position,_node_operator_map,0,[],matched_trees)
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isVisited = {}
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matched_key_trees.append((key,matched_trees))
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self.dfs(
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candidate,
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for i, (ent_id, nodes) in enumerate(matched_key_trees):
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_root,_tree,
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id_to_position,
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doc,
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isVisited,
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_node_operator_map
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)
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# To check if the subtree pattern is completely
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# identified. This is a heuristic. This is done to
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# reduce the complexity of exponential unordered subtree
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# matching. Will give approximate matches in some cases.
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if(len(isVisited) == length):
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matched_trees.append((key,list(isVisited)))
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for i, (ent_id, nodes) in enumerate(matched_trees):
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on_match = self._callbacks.get(ent_id)
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on_match = self._callbacks.get(ent_id)
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if on_match is not None:
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if on_match is not None:
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on_match(self, doc, i, matches)
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on_match(self, doc, i, matches)
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return matched_trees
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return matched_key_trees
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def dfs(self,candidate,root,tree,id_to_position,doc,isVisited,_node_operator_map):
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def recurse(self,tree,id_to_position,_node_operator_map,int patternLength,visitedNodes,matched_trees):
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if (root in id_to_position and candidate in id_to_position[root]):
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cdef bool isValid;
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# Color the node since it is valid
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if(patternLength == len(id_to_position.keys())):
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isVisited[candidate] = True
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isValid = True
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if root in tree:
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for node in range(patternLength):
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for root_child in tree[root]:
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if(node in tree):
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if (
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for idx, (relop,nbor) in enumerate(tree[node]):
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candidate in _node_operator_map
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computed_nbors = numpy.asarray(_node_operator_map[visitedNodes[node]][relop])
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and root_child[INDEX_RELOP] in _node_operator_map[candidate]
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isNbor = False
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):
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for computed_nbor in computed_nbors:
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candidate_children = _node_operator_map[candidate][root_child[INDEX_RELOP]]
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if(computed_nbor.i == visitedNodes[nbor]):
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for candidate_child in candidate_children:
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isNbor = True
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result = self.dfs(
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isValid = isValid & isNbor
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candidate_child.i,
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if(isValid):
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root_child[INDEX_HEAD],
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matched_trees.append(visitedNodes)
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tree,
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return
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id_to_position,
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allPatternNodes = numpy.asarray(id_to_position[patternLength])
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doc,
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for patternNode in allPatternNodes:
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isVisited,
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self.recurse(tree,id_to_position,_node_operator_map,patternLength+1,visitedNodes+[patternNode],matched_trees)
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_node_operator_map
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)
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# Given a node and an edge operator, to return the list of nodes
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# Given a node and an edge operator, to return the list of nodes
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# from the doc that belong to node+operator. This is used to store
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# from the doc that belong to node+operator. This is used to store
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@ -299,8 +286,8 @@ cdef class DependencyTreeMatcher:
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switcher = {
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switcher = {
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"<": self.dep,
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"<": self.dep,
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">": self.gov,
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">": self.gov,
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">>": self.dep_chain,
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"<<": self.dep_chain,
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"<<": self.gov_chain,
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">>": self.gov_chain,
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".": self.imm_precede,
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".": self.imm_precede,
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"$+": self.imm_right_sib,
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"$+": self.imm_right_sib,
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"$-": self.imm_left_sib,
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"$-": self.imm_left_sib,
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@ -313,7 +300,7 @@ cdef class DependencyTreeMatcher:
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return _node_operator_map
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return _node_operator_map
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def dep(self, doc, node):
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def dep(self, doc, node):
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return list(doc[node].head)
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return [doc[node].head]
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def gov(self,doc,node):
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def gov(self,doc,node):
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return list(doc[node].children)
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return list(doc[node].children)
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@ -330,29 +317,29 @@ cdef class DependencyTreeMatcher:
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return []
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return []
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def imm_right_sib(self, doc, node):
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def imm_right_sib(self, doc, node):
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for idx in range(list(doc[node].head.children)):
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for child in list(doc[node].head.children):
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if idx == node - 1:
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if child.i == node - 1:
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return [doc[idx]]
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return [doc[child.i]]
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return []
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return []
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def imm_left_sib(self, doc, node):
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def imm_left_sib(self, doc, node):
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for idx in range(list(doc[node].head.children)):
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for child in list(doc[node].head.children):
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if idx == node + 1:
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if child.i == node + 1:
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return [doc[idx]]
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return [doc[child.i]]
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return []
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return []
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def right_sib(self, doc, node):
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def right_sib(self, doc, node):
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candidate_children = []
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candidate_children = []
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for idx in range(list(doc[node].head.children)):
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for child in list(doc[node].head.children):
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if idx < node:
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if child.i < node:
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candidate_children.append(doc[idx])
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candidate_children.append(doc[child.i])
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return candidate_children
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return candidate_children
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def left_sib(self, doc, node):
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def left_sib(self, doc, node):
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candidate_children = []
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candidate_children = []
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for idx in range(list(doc[node].head.children)):
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for child in list(doc[node].head.children):
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if idx > node:
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if child.i > node:
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candidate_children.append(doc[idx])
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candidate_children.append(doc[child.i])
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return candidate_children
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return candidate_children
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def _normalize_key(self, key):
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def _normalize_key(self, key):
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@ -3,7 +3,7 @@ from __future__ import unicode_literals
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import pytest
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import pytest
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import re
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import re
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from spacy.matcher import Matcher, DependencyTreeMatcher
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from spacy.matcher import Matcher, DependencyMatcher
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from spacy.tokens import Doc, Token
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from spacy.tokens import Doc, Token
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from ..util import get_doc
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from ..util import get_doc
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@ -285,45 +285,44 @@ def deps():
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@pytest.fixture
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@pytest.fixture
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def dependency_tree_matcher(en_vocab):
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def dependency_matcher(en_vocab):
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def is_brown_yellow(text):
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def is_brown_yellow(text):
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return bool(re.compile(r"brown|yellow|over").match(text))
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return bool(re.compile(r"brown|yellow|over").match(text))
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IS_BROWN_YELLOW = en_vocab.add_flag(is_brown_yellow)
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IS_BROWN_YELLOW = en_vocab.add_flag(is_brown_yellow)
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pattern1 = [
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pattern1 = [
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{"SPEC": {"NODE_NAME": "fox"}, "PATTERN": {"ORTH": "fox"}},
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{"SPEC": {"NODE_NAME": "fox"}, "PATTERN": {"ORTH": "fox"}},
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{
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{"SPEC": {"NODE_NAME": "q", "NBOR_RELOP": ">", "NBOR_NAME": "fox"},"PATTERN": {"ORTH": "quick", "DEP": "amod"}},
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"SPEC": {"NODE_NAME": "q", "NBOR_RELOP": ">", "NBOR_NAME": "fox"},
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{"SPEC": {"NODE_NAME": "r", "NBOR_RELOP": ">", "NBOR_NAME": "fox"}, "PATTERN": {IS_BROWN_YELLOW: True}},
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"PATTERN": {"LOWER": "quick"},
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},
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{
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"SPEC": {"NODE_NAME": "r", "NBOR_RELOP": ">", "NBOR_NAME": "fox"},
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"PATTERN": {IS_BROWN_YELLOW: True},
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},
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]
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]
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pattern2 = [
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pattern2 = [
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{"SPEC": {"NODE_NAME": "jumped"}, "PATTERN": {"ORTH": "jumped"}},
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{"SPEC": {"NODE_NAME": "jumped"}, "PATTERN": {"ORTH": "jumped"}},
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{
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{"SPEC": {"NODE_NAME": "fox", "NBOR_RELOP": ">", "NBOR_NAME": "jumped"}, "PATTERN": {"ORTH": "fox"}},
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"SPEC": {"NODE_NAME": "fox", "NBOR_RELOP": ">", "NBOR_NAME": "jumped"},
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{"SPEC": {"NODE_NAME": "quick", "NBOR_RELOP": ".", "NBOR_NAME": "jumped"}, "PATTERN": {"ORTH": "fox"}}
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"PATTERN": {"LOWER": "fox"},
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},
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{
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"SPEC": {"NODE_NAME": "over", "NBOR_RELOP": ">", "NBOR_NAME": "fox"},
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"PATTERN": {IS_BROWN_YELLOW: True},
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},
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]
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]
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matcher = DependencyTreeMatcher(en_vocab)
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pattern3 = [
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{"SPEC": {"NODE_NAME": "jumped"}, "PATTERN": {"ORTH": "jumped"}},
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{"SPEC": {"NODE_NAME": "fox", "NBOR_RELOP": ">", "NBOR_NAME": "jumped"}, "PATTERN": {"ORTH": "fox"}},
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{"SPEC": {"NODE_NAME": "r", "NBOR_RELOP": ">>", "NBOR_NAME": "fox"}, "PATTERN": {"ORTH": "brown"}}
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]
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matcher = DependencyMatcher(en_vocab)
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matcher.add("pattern1", None, pattern1)
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matcher.add("pattern1", None, pattern1)
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matcher.add("pattern2", None, pattern2)
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matcher.add("pattern2", None, pattern2)
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matcher.add("pattern3", None, pattern3)
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return matcher
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return matcher
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def test_dependency_tree_matcher_compile(dependency_tree_matcher):
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def test_dependency_matcher_compile(dependency_matcher):
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assert len(dependency_tree_matcher) == 2
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assert len(dependency_matcher) == 3
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def test_dependency_tree_matcher(dependency_tree_matcher, text, heads, deps):
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def test_dependency_matcher(dependency_matcher, text, heads, deps):
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doc = get_doc(dependency_tree_matcher.vocab, text.split(), heads=heads, deps=deps)
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doc = get_doc(dependency_matcher.vocab, text.split(), heads=heads, deps=deps)
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matches = dependency_tree_matcher(doc)
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matches = dependency_matcher(doc)
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assert len(matches) == 2
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# assert matches[0][1] == [[3, 1, 2]]
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# assert matches[1][1] == [[4, 3, 3]]
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# assert matches[2][1] == [[4, 3, 2]]
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