From 2989072aac243c25161201db0881230482223116 Mon Sep 17 00:00:00 2001
From: Matthew Honnibal <honnibal+gh@gmail.com>
Date: Sun, 23 Oct 2016 14:33:13 +0200
Subject: [PATCH] Add tests to verify that Issue #442 is fixed in 1.1

---
 spacy/tests/vectors/test_similarity.py | 96 ++++++++++++++++++++++++++
 1 file changed, 96 insertions(+)
 create mode 100644 spacy/tests/vectors/test_similarity.py

diff --git a/spacy/tests/vectors/test_similarity.py b/spacy/tests/vectors/test_similarity.py
new file mode 100644
index 000000000..d5c6a9942
--- /dev/null
+++ b/spacy/tests/vectors/test_similarity.py
@@ -0,0 +1,96 @@
+from __future__ import unicode_literals
+import spacy
+from spacy.vocab import Vocab
+from spacy.tokens.doc import Doc
+import numpy
+import numpy.linalg
+
+import pytest
+
+
+def get_vector(letters):
+    return numpy.asarray(map(ord, letters), dtype='float32')
+
+
+def get_cosine(vec1, vec2):
+    return numpy.dot(vec1, vec2) / (numpy.linalg.norm(vec1) * numpy.linalg.norm(vec2))
+
+
+@pytest.fixture(scope='module')
+def en_vocab():
+    vocab = spacy.get_lang_class('en').Defaults.create_vocab()
+    vocab.resize_vectors(2)
+    apple_ = vocab[u'apple']
+    orange_ = vocab[u'orange']
+    apple_.vector = get_vector('ap')
+    orange_.vector = get_vector('or')
+    return vocab
+
+
+@pytest.fixture
+def appleL(en_vocab):
+   return en_vocab['apple']
+
+
+@pytest.fixture
+def orangeL(en_vocab):
+   return en_vocab['orange']
+
+
+@pytest.fixture(scope='module')
+def apple_orange(en_vocab):
+    return Doc(en_vocab, words=[u'apple', u'orange'])
+
+
+@pytest.fixture
+def appleT(apple_orange):
+    return apple_orange[0]
+
+
+@pytest.fixture
+def orangeT(apple_orange):
+    return apple_orange[1]
+
+
+def test_LL_sim(appleL, orangeL):
+    assert appleL.has_vector
+    assert orangeL.has_vector
+    assert appleL.vector_norm != 0
+    assert orangeL.vector_norm != 0
+    assert appleL.vector[0] != orangeL.vector[0] and appleL.vector[1] != orangeL.vector[1]
+    assert numpy.isclose(
+            appleL.similarity(orangeL),
+            get_cosine(get_vector('ap'), get_vector('or')))
+    assert numpy.isclose(
+            orangeL.similarity(appleL),
+            appleL.similarity(orangeL))
+
+
+def test_TT_sim(appleT, orangeT):
+    assert appleT.has_vector
+    assert orangeT.has_vector
+    assert appleT.vector_norm != 0
+    assert orangeT.vector_norm != 0
+    assert appleT.vector[0] != orangeT.vector[0] and appleT.vector[1] != orangeT.vector[1]
+    assert numpy.isclose(
+            appleT.similarity(orangeT),
+            get_cosine(get_vector('ap'), get_vector('or')))
+    assert numpy.isclose(
+            orangeT.similarity(appleT),
+            appleT.similarity(orangeT))
+
+
+def test_TD_sim(apple_orange, appleT):
+    assert apple_orange.similarity(appleT) == appleT.similarity(apple_orange)
+
+def test_DS_sim(apple_orange, appleT):
+    span = apple_orange[:2]
+    assert apple_orange.similarity(span) == 1.0
+    assert span.similarity(apple_orange) == 1.0
+
+
+def test_TS_sim(apple_orange, appleT):
+    span = apple_orange[:2]
+    assert span.similarity(appleT) == appleT.similarity(span)
+
+