def test_pmlr_4(self):
prov = PMLR(upload=False, verbose=VERBOSE)
url = "http://proceedings.mlr.press/v48/zhangf16.html"
exp = "Zhang_Paisley_-_Markov_Latent_Feature_Models_2016.pdf"
filename = prov.run(url)
self.assertEqual(exp, os.path.basename(filename))
def test_pmlr_2(self):
prov = PMLR(upload=False, verbose=VERBOSE)
url = "http://proceedings.mlr.press/v15/maaten11b/maaten11b.pdf"
exp = "Maaten_Welling_Saul_-_Hidden-Unit_Conditional_Random_Fields_2011.pdf"
filename = prov.run(url)
self.assertEqual(exp, os.path.basename(filename))
def test_pmlr_3(self):
prov = PMLR(upload=False, verbose=VERBOSE)
url = "http://proceedings.mlr.press/v48/melnyk16.pdf"
exp = "Melnyk_Banerjee_-_Estimating_Structured_Vector_Autoregressive_Models_2016.pdf"
filename = prov.run(url)
self.assertEqual(exp, os.path.basename(filename))
def test_pmlr_1(self):
prov = PMLR(upload=False, verbose=VERBOSE)
url = "http://proceedings.mlr.press/v97/behrmann19a.html"
exp = "Behrmann_et_al_-_Invertible_Residual_Networks_2019.pdf"
filename = prov.run(url)
self.assertEqual(exp, os.path.basename(filename))