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Simplify string match IDs for AttributeRuler
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@ -82,7 +82,7 @@ class AttributeRuler(Pipe):
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matches = self.matcher(doc, allow_missing=True)
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# Sort by the attribute ID, so that later rules have precendence
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matches = [
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(_parse_key(self.vocab.strings[m_id]), m_id, s, e)
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(int(self.vocab.strings[m_id]), m_id, s, e)
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for m_id, s, e in matches
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]
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matches.sort()
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@ -184,7 +184,7 @@ class AttributeRuler(Pipe):
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"""
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# We need to make a string here, because otherwise the ID we pass back
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# will be interpreted as the hash of a string, rather than an ordinal.
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key = _make_key(len(self.attrs))
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key = str(len(self.attrs))
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self.matcher.add(self.vocab.strings.add(key), patterns)
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self._attrs_unnormed.append(attrs)
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attrs = normalize_token_attrs(self.vocab, attrs)
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@ -209,7 +209,7 @@ class AttributeRuler(Pipe):
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all_patterns = []
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for i in range(len(self.attrs)):
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p = {}
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p["patterns"] = self.matcher.get(_make_key(i))[1]
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p["patterns"] = self.matcher.get(str(i))[1]
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p["attrs"] = self._attrs_unnormed[i]
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p["index"] = self.indices[i]
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all_patterns.append(p)
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@ -313,12 +313,6 @@ class AttributeRuler(Pipe):
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return self
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def _make_key(n_attr):
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return f"attr_rule_{n_attr}"
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def _parse_key(key):
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return int(key.rsplit("_", 1)[1])
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def _split_morph_attrs(attrs):
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"""Split entries from a tag map or morph rules dict into to two dicts, one
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