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https://github.com/explosion/spaCy.git
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Option for returning only greedy matches (#5771)
* add "greedy" option for match pattern * distinction between greedy FIRST or LONGEST * check for proper values, throw custom warning otherwise * unxfail one more test * add comment in docstring * add test that LONGEST also prefers first match if equal length * use c arrays for more efficient processing * rename 'greediness' to 'greedy'
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commit
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@ -432,12 +432,12 @@ class Errors:
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"Current DocBin: {current}\nOther DocBin: {other}")
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E169 = ("Can't find module: {module}")
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E170 = ("Cannot apply transition {name}: invalid for the current state.")
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E171 = ("Matcher.add received invalid on_match callback argument: expected "
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E171 = ("Matcher.add received invalid 'on_match' callback argument: expected "
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"callable or None, but got: {arg_type}")
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E175 = ("Can't remove rule for unknown match pattern ID: {key}")
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E176 = ("Alias '{alias}' is not defined in the Knowledge Base.")
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E177 = ("Ill-formed IOB input detected: {tag}")
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E178 = ("Invalid pattern. Expected list of dicts but got: {pat}. Maybe you "
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E178 = ("Each pattern should be a list of dicts, but got: {pat}. Maybe you "
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"accidentally passed a single pattern to Matcher.add instead of a "
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"list of patterns? If you only want to add one pattern, make sure "
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"to wrap it in a list. For example: matcher.add('{key}', [pattern])")
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@ -483,6 +483,10 @@ class Errors:
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E199 = ("Unable to merge 0-length span at doc[{start}:{end}].")
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# TODO: fix numbering after merging develop into master
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E947 = ("Matcher.add received invalid 'greedy' argument: expected "
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"a string value from {expected} but got: '{arg}'")
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E948 = ("Matcher.add received invalid 'patterns' argument: expected "
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"a List, but got: {arg_type}")
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E952 = ("The section '{name}' is not a valid section in the provided config.")
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E953 = ("Mismatched IDs received by the Tok2Vec listener: {id1} vs. {id2}")
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E954 = ("The Tok2Vec listener did not receive a valid input.")
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@ -66,6 +66,7 @@ cdef class Matcher:
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cdef public object validate
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cdef public object _patterns
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cdef public object _callbacks
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cdef public object _filter
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cdef public object _extensions
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cdef public object _extra_predicates
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cdef public object _seen_attrs
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@ -1,6 +1,9 @@
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# cython: infer_types=True, cython: profile=True
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from typing import List
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from libcpp.vector cimport vector
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from libc.stdint cimport int32_t
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from libc.string cimport memset, memcmp
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from cymem.cymem cimport Pool
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from murmurhash.mrmr cimport hash64
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@ -42,6 +45,7 @@ cdef class Matcher:
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self._extra_predicates = []
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self._patterns = {}
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self._callbacks = {}
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self._filter = {}
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self._extensions = {}
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self._seen_attrs = set()
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self.vocab = vocab
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@ -69,7 +73,7 @@ cdef class Matcher:
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"""
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return self._normalize_key(key) in self._patterns
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def add(self, key, patterns, *_patterns, on_match=None):
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def add(self, key, patterns, *, on_match=None, greedy: str=None):
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"""Add a match-rule to the matcher. A match-rule consists of: an ID
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key, an on_match callback, and one or more patterns.
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@ -87,11 +91,10 @@ cdef class Matcher:
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'+': Require the pattern to match 1 or more times.
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'*': Allow the pattern to zero or more times.
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The + and * operators are usually interpretted "greedily", i.e. longer
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matches are returned where possible. However, if you specify two '+'
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and '*' patterns in a row and their matches overlap, the first
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operator will behave non-greedily. This quirk in the semantics makes
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the matcher more efficient, by avoiding the need for back-tracking.
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The + and * operators return all possible matches (not just the greedy
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ones). However, the "greedy" argument can filter the final matches
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by returning a non-overlapping set per key, either taking preference to
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the first greedy match ("FIRST"), or the longest ("LONGEST").
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As of spaCy v2.2.2, Matcher.add supports the future API, which makes
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the patterns the second argument and a list (instead of a variable
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@ -101,16 +104,15 @@ cdef class Matcher:
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key (str): The match ID.
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patterns (list): The patterns to add for the given key.
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on_match (callable): Optional callback executed on match.
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*_patterns (list): For backwards compatibility: list of patterns to add
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as variable arguments. Will be ignored if a list of patterns is
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provided as the second argument.
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greedy (str): Optional filter: "FIRST" or "LONGEST".
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"""
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errors = {}
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if on_match is not None and not hasattr(on_match, "__call__"):
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raise ValueError(Errors.E171.format(arg_type=type(on_match)))
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if patterns is None or hasattr(patterns, "__call__"): # old API
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on_match = patterns
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patterns = _patterns
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if patterns is None or not isinstance(patterns, List): # old API
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raise ValueError(Errors.E948.format(arg_type=type(patterns)))
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if greedy is not None and greedy not in ["FIRST", "LONGEST"]:
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raise ValueError(Errors.E947.format(expected=["FIRST", "LONGEST"], arg=greedy))
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for i, pattern in enumerate(patterns):
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if len(pattern) == 0:
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raise ValueError(Errors.E012.format(key=key))
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@ -133,6 +135,7 @@ cdef class Matcher:
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raise ValueError(Errors.E154.format())
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self._patterns.setdefault(key, [])
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self._callbacks[key] = on_match
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self._filter[key] = greedy
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self._patterns[key].extend(patterns)
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def remove(self, key):
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@ -218,6 +221,7 @@ cdef class Matcher:
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length = doclike.end - doclike.start
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else:
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raise ValueError(Errors.E195.format(good="Doc or Span", got=type(doclike).__name__))
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cdef Pool tmp_pool = Pool()
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if len(set([LEMMA, POS, TAG]) & self._seen_attrs) > 0 \
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and not doc.is_tagged:
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raise ValueError(Errors.E155.format())
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@ -225,11 +229,42 @@ cdef class Matcher:
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raise ValueError(Errors.E156.format())
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matches = find_matches(&self.patterns[0], self.patterns.size(), doclike, length,
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extensions=self._extensions, predicates=self._extra_predicates)
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for i, (key, start, end) in enumerate(matches):
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final_matches = []
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pairs_by_id = {}
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# For each key, either add all matches, or only the filtered, non-overlapping ones
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for (key, start, end) in matches:
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span_filter = self._filter.get(key)
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if span_filter is not None:
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pairs = pairs_by_id.get(key, [])
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pairs.append((start,end))
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pairs_by_id[key] = pairs
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else:
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final_matches.append((key, start, end))
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matched = <char*>tmp_pool.alloc(length, sizeof(char))
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empty = <char*>tmp_pool.alloc(length, sizeof(char))
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for key, pairs in pairs_by_id.items():
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memset(matched, 0, length * sizeof(matched[0]))
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span_filter = self._filter.get(key)
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if span_filter == "FIRST":
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sorted_pairs = sorted(pairs, key=lambda x: (x[0], -x[1]), reverse=False) # sort by start
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elif span_filter == "LONGEST":
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sorted_pairs = sorted(pairs, key=lambda x: (x[1]-x[0], -x[0]), reverse=True) # reverse sort by length
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else:
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raise ValueError(Errors.E947.format(expected=["FIRST", "LONGEST"], arg=span_filter))
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for (start, end) in sorted_pairs:
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assert 0 <= start < end # Defend against segfaults
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span_len = end-start
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# If no tokens in the span have matched
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if memcmp(&matched[start], &empty[start], span_len * sizeof(matched[0])) == 0:
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final_matches.append((key, start, end))
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# Mark tokens that have matched
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memset(&matched[start], 1, span_len * sizeof(matched[0]))
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# perform the callbacks on the filtered set of results
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for i, (key, start, end) in enumerate(final_matches):
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on_match = self._callbacks.get(key, 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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return matches
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on_match(self, doc, i, final_matches)
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return final_matches
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def _normalize_key(self, key):
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if isinstance(key, basestring):
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@ -240,9 +275,9 @@ cdef class Matcher:
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def unpickle_matcher(vocab, patterns, callbacks):
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matcher = Matcher(vocab)
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for key, specs in patterns.items():
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for key, pattern in patterns.items():
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callback = callbacks.get(key, None)
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matcher.add(key, callback, *specs)
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matcher.add(key, pattern, on_match=callback)
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return matcher
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@ -58,7 +58,7 @@ def merge_subtokens(doc: Doc, label: str = "subtok") -> Doc:
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"""
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# TODO: make stateful component with "label" config
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merger = Matcher(doc.vocab)
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merger.add("SUBTOK", None, [{"DEP": label, "op": "+"}])
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merger.add("SUBTOK", [[{"DEP": label, "op": "+"}]])
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matches = merger(doc)
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spans = filter_spans([doc[start : end + 1] for _, start, end in matches])
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with doc.retokenize() as retokenizer:
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@ -63,18 +63,11 @@ def test_matcher_len_contains(matcher):
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assert "TEST2" not in matcher
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def test_matcher_add_new_old_api(en_vocab):
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def test_matcher_add_new_api(en_vocab):
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doc = Doc(en_vocab, words=["a", "b"])
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patterns = [[{"TEXT": "a"}], [{"TEXT": "a"}, {"TEXT": "b"}]]
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matcher = Matcher(en_vocab)
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matcher.add("OLD_API", None, *patterns)
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assert len(matcher(doc)) == 2
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matcher = Matcher(en_vocab)
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on_match = Mock()
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matcher.add("OLD_API_CALLBACK", on_match, *patterns)
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assert len(matcher(doc)) == 2
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assert on_match.call_count == 2
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# New API: add(key: str, patterns: List[List[dict]], on_match: Callable)
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matcher = Matcher(en_vocab)
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matcher.add("NEW_API", patterns)
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assert len(matcher(doc)) == 2
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def test_matcher_match_one_plus(matcher):
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control = Matcher(matcher.vocab)
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control.add("BasicPhilippe", None, [{"ORTH": "Philippe"}])
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control.add("BasicPhilippe", [[{"ORTH": "Philippe"}]])
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doc = Doc(control.vocab, words=["Philippe", "Philippe"])
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m = control(doc)
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assert len(m) == 2
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@ -7,18 +7,10 @@ from spacy.tokens import Doc, Span
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pattern1 = [{"ORTH": "A"}, {"ORTH": "A", "OP": "*"}]
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pattern2 = [{"ORTH": "A"}, {"ORTH": "A"}]
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pattern2 = [{"ORTH": "A", "OP": "*"}, {"ORTH": "A"}]
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pattern3 = [{"ORTH": "A"}, {"ORTH": "A"}]
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pattern4 = [
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{"ORTH": "B"},
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{"ORTH": "A", "OP": "*"},
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{"ORTH": "B"},
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]
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pattern5 = [
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{"ORTH": "B", "OP": "*"},
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{"ORTH": "A", "OP": "*"},
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{"ORTH": "B"},
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]
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pattern4 = [{"ORTH": "B"}, {"ORTH": "A", "OP": "*"}, {"ORTH": "B"}]
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pattern5 = [{"ORTH": "B", "OP": "*"}, {"ORTH": "A", "OP": "*"}, {"ORTH": "B"}]
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re_pattern1 = "AA*"
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re_pattern2 = "A*A"
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re_pattern4 = "BA*B"
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re_pattern5 = "B*A*B"
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longest1 = "A A A A A"
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longest2 = "A A A A A"
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longest3 = "A A"
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longest4 = "B A A A A A B" # "FIRST" would be "B B"
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longest5 = "B B A A A A A B"
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@pytest.fixture
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def text():
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return "(ABBAAAAAB)."
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return "(BBAAAAAB)."
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@pytest.fixture
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@pytest.mark.parametrize(
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"pattern,re_pattern",
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[
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pytest.param(pattern1, re_pattern1, marks=pytest.mark.xfail()),
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pytest.param(pattern2, re_pattern2, marks=pytest.mark.xfail()),
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pytest.param(pattern3, re_pattern3, marks=pytest.mark.xfail()),
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(pattern1, re_pattern1),
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(pattern2, re_pattern2),
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(pattern3, re_pattern3),
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(pattern4, re_pattern4),
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pytest.param(pattern5, re_pattern5, marks=pytest.mark.xfail()),
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(pattern5, re_pattern5),
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],
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)
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def test_greedy_matching(doc, text, pattern, re_pattern):
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"""Test that the greedy matching behavior of the * op is consistant with
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def test_greedy_matching_first(doc, text, pattern, re_pattern):
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"""Test that the greedy matching behavior "FIRST" is consistent with
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other re implementations."""
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matcher = Matcher(doc.vocab)
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matcher.add(re_pattern, [pattern])
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matcher.add(re_pattern, [pattern], greedy="FIRST")
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matches = matcher(doc)
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re_matches = [m.span() for m in re.finditer(re_pattern, text)]
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for match, re_match in zip(matches, re_matches):
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assert match[1:] == re_match
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for (key, m_s, m_e), (re_s, re_e) in zip(matches, re_matches):
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# matching the string, not the exact position
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assert doc[m_s:m_e].text == doc[re_s:re_e].text
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@pytest.mark.parametrize(
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"pattern,longest",
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[
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(pattern1, longest1),
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(pattern2, longest2),
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(pattern3, longest3),
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(pattern4, longest4),
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(pattern5, longest5),
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],
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)
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def test_greedy_matching_longest(doc, text, pattern, longest):
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"""Test the "LONGEST" greedy matching behavior"""
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matcher = Matcher(doc.vocab)
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matcher.add("RULE", [pattern], greedy="LONGEST")
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matches = matcher(doc)
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for (key, s, e) in matches:
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assert doc[s:e].text == longest
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def test_greedy_matching_longest_first(en_tokenizer):
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"""Test that "LONGEST" matching prefers the first of two equally long matches"""
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doc = en_tokenizer(" ".join("CCC"))
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matcher = Matcher(doc.vocab)
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pattern = [{"ORTH": "C"}, {"ORTH": "C"}]
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matcher.add("RULE", [pattern], greedy="LONGEST")
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matches = matcher(doc)
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# out of 0-2 and 1-3, the first should be picked
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assert len(matches) == 1
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assert matches[0][1] == 0
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assert matches[0][2] == 2
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def test_invalid_greediness(doc, text):
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matcher = Matcher(doc.vocab)
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with pytest.raises(ValueError):
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matcher.add("RULE", [pattern1], greedy="GREEDY")
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@pytest.mark.xfail
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@pytest.mark.parametrize(
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"pattern,re_pattern",
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[
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@ -74,7 +110,7 @@ def test_match_consuming(doc, text, pattern, re_pattern):
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"""Test that matcher.__call__ consumes tokens on a match similar to
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re.findall."""
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matcher = Matcher(doc.vocab)
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matcher.add(re_pattern, [pattern])
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matcher.add(re_pattern, [pattern], greedy="FIRST")
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matches = matcher(doc)
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re_matches = [m.span() for m in re.finditer(re_pattern, text)]
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assert len(matches) == len(re_matches)
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