Update vector handling in similarity methods (#11013)

Distinguish between vectors that are 0 vs. missing vectors when warning
about missing vectors.

Update `Doc.has_vector` to match `Span.has_vector` and
`Token.has_vector` for cases where the vocab has vectors but none of the
tokens in the container have vectors.

spacy/tests/vocab_vectors/test_similarity.py

@@ -1,6 +1,7 @@
 import pytest
 import numpy
 from spacy.tokens import Doc
+from spacy.vocab import Vocab
 
 from ..util import get_cosine, add_vecs_to_vocab
 
@@ -71,19 +72,17 @@ def test_vectors_similarity_DD(vocab, vectors):
 def test_vectors_similarity_TD(vocab, vectors):
     [(word1, vec1), (word2, vec2)] = vectors
     doc = Doc(vocab, words=[word1, word2])
-    with pytest.warns(UserWarning):
-        assert isinstance(doc.similarity(doc[0]), float)
-        assert isinstance(doc[0].similarity(doc), float)
-        assert doc.similarity(doc[0]) == doc[0].similarity(doc)
+    assert isinstance(doc.similarity(doc[0]), float)
+    assert isinstance(doc[0].similarity(doc), float)
+    assert doc.similarity(doc[0]) == doc[0].similarity(doc)
 
 
 def test_vectors_similarity_TS(vocab, vectors):
     [(word1, vec1), (word2, vec2)] = vectors
     doc = Doc(vocab, words=[word1, word2])
-    with pytest.warns(UserWarning):
-        assert isinstance(doc[:2].similarity(doc[0]), float)
-        assert isinstance(doc[0].similarity(doc[-2]), float)
-        assert doc[:2].similarity(doc[0]) == doc[0].similarity(doc[:2])
+    assert isinstance(doc[:2].similarity(doc[0]), float)
+    assert isinstance(doc[0].similarity(doc[:2]), float)
+    assert doc[:2].similarity(doc[0]) == doc[0].similarity(doc[:2])
 
 
 def test_vectors_similarity_DS(vocab, vectors):
@@ -91,3 +90,21 @@ def test_vectors_similarity_DS(vocab, vectors):
     doc = Doc(vocab, words=[word1, word2])
     assert isinstance(doc.similarity(doc[:2]), float)
     assert doc.similarity(doc[:2]) == doc[:2].similarity(doc)
+
+
+def test_vectors_similarity_no_vectors():
+    vocab = Vocab()
+    doc1 = Doc(vocab, words=["a", "b"])
+    doc2 = Doc(vocab, words=["c", "d", "e"])
+    with pytest.warns(UserWarning):
+        doc1.similarity(doc2)
+    with pytest.warns(UserWarning):
+        doc1.similarity(doc2[1])
+    with pytest.warns(UserWarning):
+        doc1.similarity(doc2[:2])
+    with pytest.warns(UserWarning):
+        doc2.similarity(doc1)
+    with pytest.warns(UserWarning):
+        doc2[1].similarity(doc1)
+    with pytest.warns(UserWarning):
+        doc2[:2].similarity(doc1)

spacy/tests/vocab_vectors/test_vectors.py

@@ -318,17 +318,15 @@ def test_vectors_lexeme_doc_similarity(vocab, text):
 @pytest.mark.parametrize("text", [["apple", "orange", "juice"]])
 def test_vectors_span_span_similarity(vocab, text):
     doc = Doc(vocab, words=text)
-    with pytest.warns(UserWarning):
-        assert doc[0:2].similarity(doc[1:3]) == doc[1:3].similarity(doc[0:2])
-        assert -1.0 < doc[0:2].similarity(doc[1:3]) < 1.0
+    assert doc[0:2].similarity(doc[1:3]) == doc[1:3].similarity(doc[0:2])
+    assert -1.0 < doc[0:2].similarity(doc[1:3]) < 1.0
 
 
 @pytest.mark.parametrize("text", [["apple", "orange", "juice"]])
 def test_vectors_span_doc_similarity(vocab, text):
     doc = Doc(vocab, words=text)
-    with pytest.warns(UserWarning):
-        assert doc[0:2].similarity(doc) == doc.similarity(doc[0:2])
-        assert -1.0 < doc[0:2].similarity(doc) < 1.0
+    assert doc[0:2].similarity(doc) == doc.similarity(doc[0:2])
+    assert -1.0 < doc[0:2].similarity(doc) < 1.0
 
 
 @pytest.mark.parametrize(

spacy/tokens/doc.pyx

@@ -607,7 +607,8 @@ cdef class Doc:
         if self.vocab.vectors.n_keys == 0:
             warnings.warn(Warnings.W007.format(obj="Doc"))
         if self.vector_norm == 0 or other.vector_norm == 0:
-            warnings.warn(Warnings.W008.format(obj="Doc"))
+            if not self.has_vector or not other.has_vector:
+                warnings.warn(Warnings.W008.format(obj="Doc"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)
@@ -627,7 +628,7 @@ cdef class Doc:
         if "has_vector" in self.user_hooks:
             return self.user_hooks["has_vector"](self)
         elif self.vocab.vectors.size:
-            return True
+            return any(token.has_vector for token in self)
         elif self.tensor.size:
             return True
         else:

spacy/tokens/span.pyx

@@ -354,7 +354,8 @@ cdef class Span:
         if self.vocab.vectors.n_keys == 0:
             warnings.warn(Warnings.W007.format(obj="Span"))
         if self.vector_norm == 0.0 or other.vector_norm == 0.0:
-            warnings.warn(Warnings.W008.format(obj="Span"))
+            if not self.has_vector or not other.has_vector:
+                warnings.warn(Warnings.W008.format(obj="Span"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)

spacy/tokens/token.pyx

@@ -206,7 +206,8 @@ cdef class Token:
         if self.vocab.vectors.n_keys == 0:
             warnings.warn(Warnings.W007.format(obj="Token"))
         if self.vector_norm == 0 or other.vector_norm == 0:
-            warnings.warn(Warnings.W008.format(obj="Token"))
+            if not self.has_vector or not other.has_vector:
+                warnings.warn(Warnings.W008.format(obj="Token"))
             return 0.0
         vector = self.vector
         xp = get_array_module(vector)