doc_or_span -> obj
@@ -213,28 +213,28 @@ cdef class Matcher:
else:
yield doc
- def __call__(self, object doc_or_span):
+ def __call__(self, object obj):
"""Find all token sequences matching the supplied pattern.
- doc_or_span (Doc or Span): The document to match over.
+ obj (Doc / Span): The document to match over.
RETURNS (list): A list of `(key, start, end)` tuples,
describing the matches. A match tuple describes a span
`doc[start:end]`. The `label_id` and `key` are both integers.
"""
- if isinstance(doc_or_span, Doc):
- doc = doc_or_span
+ if isinstance(obj, Doc):
+ doc = obj
length = len(doc)
- elif isinstance(doc_or_span, Span):
- doc = doc_or_span.doc
- length = doc_or_span.end - doc_or_span.start
+ elif isinstance(obj, Span):
+ doc = obj.doc
+ length = obj.end - obj.start
else:
- raise ValueError(Errors.E195.format(good="Doc or Span", got=type(doc_or_span).__name__))
+ raise ValueError(Errors.E195.format(good="Doc or Span", got=type(obj).__name__))
if len(set([LEMMA, POS, TAG]) & self._seen_attrs) > 0 \
and not doc.is_tagged:
raise ValueError(Errors.E155.format())
if DEP in self._seen_attrs and not doc.is_parsed:
raise ValueError(Errors.E156.format())
- matches = find_matches(&self.patterns[0], self.patterns.size(), doc_or_span, length,
+ matches = find_matches(&self.patterns[0], self.patterns.size(), obj, length,
extensions=self._extensions, predicates=self._extra_predicates)
for i, (key, start, end) in enumerate(matches):
on_match = self._callbacks.get(key, None)
@@ -257,7 +257,7 @@ def unpickle_matcher(vocab, patterns, callbacks):
return matcher
-cdef find_matches(TokenPatternC** patterns, int n, object doc_or_span, int length, extensions=None, predicates=tuple()):
+cdef find_matches(TokenPatternC** patterns, int n, object obj, int length, extensions=None, predicates=tuple()):
"""Find matches in a doc, with a compiled array of patterns. Matches are
returned as a list of (id, start, end) tuples.
@@ -286,7 +286,7 @@ cdef find_matches(TokenPatternC** patterns, int n, object doc_or_span, int lengt
else:
nr_extra_attr = 0
extra_attr_values = <attr_t*>mem.alloc(length, sizeof(attr_t))
- for i, token in enumerate(doc_or_span):
+ for i, token in enumerate(obj):
for name, index in extensions.items():
value = token._.get(name)
if isinstance(value, basestring):
@@ -298,7 +298,7 @@ cdef find_matches(TokenPatternC** patterns, int n, object doc_or_span, int lengt
for j in range(n):
states.push_back(PatternStateC(patterns[j], i, 0))
transition_states(states, matches, predicate_cache,
- doc_or_span[i], extra_attr_values, predicates)
+ obj[i], extra_attr_values, predicates)
extra_attr_values += nr_extra_attr
predicate_cache += len(predicates)
# Handle matches that end in 0-width patterns
