import pytest
langs = gflanguages.LoadLanguages()
-xfail_langs = {
- "kkh_Lana": "Tai Tham encoding is over-differentiated (see L2/19-365)"
-}
+xfail_langs = {"kkh_Lana": "Tai Tham encoding is over-differentiated (see L2/19-365)"}
@pytest.fixture
face = hb.Face(b"")
font = hb.Font(face)
funcs = hb.FontFuncs.create()
- funcs.set_nominal_glyph_func((lambda font,cp,data: cp), None)
+ funcs.set_nominal_glyph_func((lambda font, cp, data: cp), None)
font.funcs = funcs
return font
@pytest.mark.parametrize("lang", langs.keys())
def test_dotted_circle(lang, hb_font):
if lang in xfail_langs:
- pytest.xfail("Language is expected to fail: "+xfail_langs[lang])
+ pytest.xfail("Language is expected to fail: " + xfail_langs[lang])
item = langs[lang]
samples = item.sample_text.ListFields()
- for sample_name, sample in sorted(samples, key=lambda x:len(x[1])):
+ for sample_name, sample in sorted(samples, key=lambda x: len(x[1])):
buf = hb.Buffer()
buf.add_str(sample)
buf.guess_segment_properties()