Ejemplo n.º 1
0
    def test_term_content_text_one_sentence(self):
        stream = ["Apple. Goat .\nexplore. \ncrater Sphere" \
            + TermsContentText.TERMS_CONTENT_SEPARATOR \
            + "Apples something explores and goats."]

        for window in range(1, 4):
            parse = parse_input(stream, TERMS_CONTENT_TEXT, window)
            self.assertEqual(parse.terms, set([
                Term(["appl"]),
                Term(["goat"]),
                Term(["explor"]),
                Term(["crater", "sphere"]),
            ]), "window %d" % window)
            self.assertEqual(parse.cooccurrences[Term(["appl"])], {
                Term(["goat"]): ["Apples something explores and goats".split()],
                Term(["explor"]): ["Apples something explores and goats".split()],
            }, "window %d" % window)
            self.assertEqual(parse.cooccurrences[Term(["goat"])], {
                Term(["appl"]): ["Apples something explores and goats".split()],
                Term(["explor"]): ["Apples something explores and goats".split()],
            }, "window %d" % window)
            self.assertEqual(parse.cooccurrences[Term(["explor"])], {
                Term(["appl"]): ["Apples something explores and goats".split()],
                Term(["goat"]): ["Apples something explores and goats".split()],
            }, "window %d" % window)
Ejemplo n.º 2
0
 def test_term_content_text(self):
     stream = ["Apple. Goat .\nexplore. \ncrater Sphere" \
         + TermsContentText.TERMS_CONTENT_SEPARATOR \
         + "Apples something explores and goats.\nxyz querty apples crater. Explore Crater sphere\ntermy . explores apples"]
     parse = parse_input(stream, TERMS_CONTENT_TEXT)
     self.assertEqual(parse.terms, set([
         Term(["appl"]),
         Term(["goat"]),
         Term(["explor"]),
         Term(["crater", "sphere"]),
     ]))
     self.assertEqual(parse.cooccurrences[Term(["appl"])], {
         Term(["goat"]): ["Apples something explores and goats".split()],
         Term(["explor"]): ["Apples something explores and goats".split(), "explores apples".split()],
     })
     self.assertEqual(parse.cooccurrences[Term(["goat"])], {
         Term(["appl"]): ["Apples something explores and goats".split()],
         Term(["explor"]): ["Apples something explores and goats".split()],
     })
     self.assertEqual(parse.cooccurrences[Term(["explor"])], {
         Term(["appl"]): ["Apples something explores and goats".split(), "explores apples".split()],
         Term(["goat"]): ["Apples something explores and goats".split()],
         Term(["crater", "sphere"]): ["Explore Crater sphere termy".split()],
     })
     self.assertEqual(parse.cooccurrences[Term(["crater", "sphere"])], {
         Term(["explor"]): ["Explore Crater sphere termy".split()],
     })
Ejemplo n.º 3
0
    def test_wikipedia_articles_list(self):
        # This test will rely on network connectivity to first locally save the wikipedia articles.
        stream = [
            "Paleozoic",
            "Gravity"
        ]
        parse = parse_input(stream, WIKIPEDIA_ARTICLES_LIST)
        self.assertIn(Term(["phanerozo"]), parse.terms)
        self.assertIn(Term(["permian"]), parse.terms)
        self.assertIn(Term(["gravit"]), parse.terms)
        self.assertIn(Term(["mass"]), parse.terms)

        self.assertGreater(len(parse.terms), 200)
        self.assertGreaterEqual(len(parse.cooccurrences[Term(["phanerozo"])][Term(["permian"])]), 1)
        self.assertEqual(len(parse.cooccurrences[Term(["permian"])][Term(["phanerozo"])]), len(parse.cooccurrences[Term(["phanerozo"])][Term(["permian"])]))
        self.assertGreaterEqual(len(parse.cooccurrences[Term(["gravit"])][Term(["mass"])]), 1)
        self.assertEqual(len(parse.cooccurrences[Term(["mass"])][Term(["gravit"])]), len(parse.cooccurrences[Term(["gravit"])][Term(["mass"])]))

        self.assertEqual(parse.inflections.to_dominant_inflection(Term(["phanerozo"])), Term(["phanerozoic"]))
        self.assertEqual(parse.inflections.to_dominant_inflection(Term(["gravit"])), Term(["gravitational"]))
Ejemplo n.º 4
0
 def test_glossary_csv(self):
     stream = [
         ["Apple", "Goat explores. xyz querty apples crater . Explore apples"],
         ["Goat", "nadda."],
         ["explore", "Crater sphere\ntermy."],
         ["crater Sphere", "nadda."]
     ]
     parse = parse_input(stream, GLOSSARY_CSV)
     self.assertEqual(parse.terms, set([
         Term(["appl"]),
         Term(["goat"]),
         Term(["explor"]),
         Term(["crater", "sphere"]),
     ]))
     self.assertEqual(parse.cooccurrences[Term(["appl"])], {
         Term(["goat"]): ["Goat explores".split()],
         Term(["explor"]): ["Goat explores".split(), "Explore apples".split()],
     })
     self.assertEqual(parse.cooccurrences[Term(["goat"])], {})
     self.assertEqual(parse.cooccurrences[Term(["explor"])], {
         Term(["crater", "sphere"]): ["Crater sphere termy".split()],
     })
     self.assertEqual(parse.cooccurrences[Term(["crater", "sphere"])], {})