How to use the textacy.cache.load_spacy_lang function in textacy

def test_to_tagged_text_nosents(self):
        spacy_lang = cache.load_spacy_lang("en")
        with spacy_lang.disable_pipes("parser"):
            doc = spacy_lang("This is sentence #1. This is sentence #2.")
        tagged_text = doc._.to_tagged_text()
        assert isinstance(tagged_text, list)
        assert len(tagged_text) == 1
        assert isinstance(tagged_text[0], list)
        assert isinstance(tagged_text[0][0], tuple)
        assert isinstance(tagged_text[0][0][0], compat.unicode_)

def spacy_doc():
    spacy_lang = cache.load_spacy_lang("en")
    text = """
    The unit tests aren't going well.
    I love Python, but I don't love backwards incompatibilities.
    No programmers were permanently damaged for textacy's sake.
    Thank God for Stack Overflow."""
    spacy_doc = spacy_lang(text.strip())
    return spacy_doc

def test_bad_name(self):
        for name in ("unk", "un"):
            with pytest.raises((OSError, IOError)):
                _ = cache.load_spacy_lang(name)
        with pytest.raises(ImportError):
            _ = cache.load_spacy_lang("un", allow_blank=True)

def test_to_gensim(spacy_doc):
    spacy_lang = cache.load_spacy_lang("en")
    result = export.docs_to_gensim(
        [spacy_doc], spacy_lang.vocab,
        filter_stops=True, filter_punct=True, filter_nums=True,
    )
    assert isinstance(result[0], compat.unicode_)
    assert isinstance(result[1], list)
    assert isinstance(result[1][0], list)
    assert isinstance(result[1][0][0], tuple)
    assert (
        isinstance(result[1][0][0][0], compat.int_types)
        and isinstance(result[1][0][0][1], compat.int_types)
    )

def test_bad_name(self):
        for name in ("unk", "un"):
            with pytest.raises((OSError, IOError)):
                _ = cache.load_spacy_lang(name)
        with pytest.raises(ImportError):
            _ = cache.load_spacy_lang("un", allow_blank=True)

def doc(text):
    spacy_lang = cache.load_spacy_lang("en")
    return make_spacy_doc(text, lang=spacy_lang)