added codecov

benchmark/ffi.py

-import time
-import torch
-from torch_cluster._ext import ffi
-
-cluster = torch.cuda.LongTensor(4)
-row = torch.cuda.LongTensor([0, 0, 1, 1, 1, 2, 2, 2, 3, 3])
-col = torch.cuda.LongTensor([1, 2, 0, 2, 3, 0, 1, 3, 1, 2])
-# deg = torch.cuda.LongTensor([2, 3, 3, 2])
-
-func = ffi.THCCGreedy
-print(func)
-
-a = 0
-torch.cuda.synchronize()
-t = time.perf_counter()
-# for i in range(100):
-func(cluster, row, col)
-# a += cluster.sum() / cluster.size(0)
-torch.cuda.synchronize()
-print(time.perf_counter() - t)
-print(cluster)

setup.cfg

@@ -5,4 +5,4 @@ description-file = README.md
 test = pytest
 
 [tool:pytest]
-addopts = --capture=no
+addopts = --capture=no --cov