mirror of https://github.com/explosion/spaCy.git
Serialize AttributeRuler.patterns
Serialize `AttributeRuler.patterns` instead of the individual lists to simplify the serialized and so that patterns are reloaded exactly as they were originally provided (preserving `_attrs_unnormed`).
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@ -230,10 +230,7 @@ class AttributeRuler(Pipe):
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"""
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serialize = {}
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serialize["vocab"] = self.vocab.to_bytes
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patterns = {k: self.matcher.get(k)[1] for k in range(len(self.attrs))}
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serialize["patterns"] = lambda: srsly.msgpack_dumps(patterns)
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serialize["attrs"] = lambda: srsly.msgpack_dumps(self.attrs)
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serialize["indices"] = lambda: srsly.msgpack_dumps(self.indices)
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serialize["patterns"] = lambda: srsly.msgpack_dumps(self.patterns)
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return util.to_bytes(serialize, exclude)
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def from_bytes(self, bytes_data: bytes, exclude: Iterable[str] = tuple()):
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@ -245,31 +242,15 @@ class AttributeRuler(Pipe):
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DOCS: https://spacy.io/api/attributeruler#from_bytes
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"""
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data = {"patterns": b""}
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def load_patterns(b):
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data["patterns"] = srsly.msgpack_loads(b)
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def load_attrs(b):
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self.attrs = srsly.msgpack_loads(b)
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def load_indices(b):
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self.indices = srsly.msgpack_loads(b)
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self.add_patterns(srsly.msgpack_loads(b))
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deserialize = {
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"vocab": lambda b: self.vocab.from_bytes(b),
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"patterns": load_patterns,
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"attrs": load_attrs,
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"indices": load_indices,
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}
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util.from_bytes(bytes_data, deserialize, exclude)
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if data["patterns"]:
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for key, pattern in data["patterns"].items():
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self.matcher.add(key, pattern)
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assert len(self.attrs) == len(data["patterns"])
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assert len(self.indices) == len(data["patterns"])
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return self
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def to_disk(self, path: Union[Path, str], exclude: Iterable[str] = tuple()) -> None:
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@ -279,12 +260,9 @@ class AttributeRuler(Pipe):
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exclude (Iterable[str]): String names of serialization fields to exclude.
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DOCS: https://spacy.io/api/attributeruler#to_disk
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"""
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patterns = {k: self.matcher.get(k)[1] for k in range(len(self.attrs))}
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serialize = {
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"vocab": lambda p: self.vocab.to_disk(p),
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"patterns": lambda p: srsly.write_msgpack(p, patterns),
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"attrs": lambda p: srsly.write_msgpack(p, self.attrs),
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"indices": lambda p: srsly.write_msgpack(p, self.indices),
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"patterns": lambda p: srsly.write_msgpack(p, self.patterns),
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}
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util.to_disk(path, serialize, exclude)
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@ -297,31 +275,15 @@ class AttributeRuler(Pipe):
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exclude (Iterable[str]): String names of serialization fields to exclude.
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DOCS: https://spacy.io/api/attributeruler#from_disk
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"""
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data = {"patterns": b""}
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def load_patterns(p):
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data["patterns"] = srsly.read_msgpack(p)
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def load_attrs(p):
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self.attrs = srsly.read_msgpack(p)
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def load_indices(p):
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self.indices = srsly.read_msgpack(p)
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self.add_patterns(srsly.read_msgpack(p))
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deserialize = {
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"vocab": lambda p: self.vocab.from_disk(p),
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"patterns": load_patterns,
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"attrs": load_attrs,
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"indices": load_indices,
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}
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util.from_disk(path, deserialize, exclude)
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if data["patterns"]:
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for key, pattern in data["patterns"].items():
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self.matcher.add(key, pattern)
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assert len(self.attrs) == len(data["patterns"])
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assert len(self.indices) == len(data["patterns"])
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return self
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@ -215,6 +215,7 @@ def test_attributeruler_serialize(nlp, pattern_dicts):
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assert a.to_bytes() == a_reloaded.to_bytes()
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doc1 = a_reloaded(nlp.make_doc(text))
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numpy.array_equal(doc.to_array(attrs), doc1.to_array(attrs))
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assert a.patterns == a_reloaded.patterns
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# disk roundtrip
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with make_tempdir() as tmp_dir:
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@ -223,3 +224,4 @@ def test_attributeruler_serialize(nlp, pattern_dicts):
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doc2 = nlp2(text)
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assert nlp2.get_pipe("attribute_ruler").to_bytes() == a.to_bytes()
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assert numpy.array_equal(doc.to_array(attrs), doc2.to_array(attrs))
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assert a.patterns == nlp2.get_pipe("attribute_ruler").patterns
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