fixed print statements

Author: rusty1s

.travis.yml

@@ -24,10 +24,6 @@ install:
   - pip install flake8
   - pip install codecov
 script:
-  - which $CC
-  - which $CXX
-  - $CC --version
-  - $CXX --version
   - pycodestyle .
   - flake8 .
   - python setup.py install

torch_scatter/add.py

@@ -66,8 +66,8 @@ def scatter_add(src, index, dim=-1, out=None, dim_size=None, fill_value=0):
 
     .. testoutput::
 
-       tensor([[ 0,  0,  4,  3,  3,  0],
-               [ 2,  4,  4,  0,  0,  0]])
+       tensor([[0, 0, 4, 3, 3, 0],
+               [2, 4, 4, 0, 0, 0]])
     """
     src, out, index, dim = gen(src, index, dim, out, dim_size, fill_value)
     return out.scatter_add_(dim, index, src)

torch_scatter/div.py

@@ -85,8 +85,8 @@ def scatter_div(src, index, dim=-1, out=None, dim_size=None, fill_value=1):
 
     .. testoutput::
 
-       tensor([[ 1.0000,  1.0000,  0.2500,  0.5000,  0.5000,  1.0000],
-               [ 0.5000,  0.2500,  0.5000,  1.0000,  1.0000,  1.0000]])
+       tensor([[1.0000, 1.0000, 0.2500, 0.5000, 0.5000, 1.0000],
+               [0.5000, 0.2500, 0.5000, 1.0000, 1.0000, 1.0000]])
     """
     src, out, index, dim = gen(src, index, dim, out, dim_size, fill_value)
     return ScatterDiv.apply(out, src, index, dim)

torch_scatter/max.py

@@ -90,8 +90,8 @@ def scatter_max(src, index, dim=-1, out=None, dim_size=None, fill_value=0):
 
     .. testoutput::
 
-       tensor([[ 0,  0,  4,  3,  2,  0],
-               [ 2,  4,  3,  0,  0,  0]])
+       tensor([[0, 0, 4, 3, 2, 0],
+               [2, 4, 3, 0, 0, 0]])
        tensor([[-1, -1,  3,  4,  0,  1],
                [ 1,  4,  3, -1, -1, -1]])
     """

torch_scatter/mean.py

@@ -62,8 +62,8 @@ def scatter_mean(src, index, dim=-1, out=None, dim_size=None, fill_value=0):
 
     .. testoutput::
 
-       tensor([[ 0.0000,  0.0000,  4.0000,  3.0000,  1.5000,  0.0000],
-               [ 1.0000,  4.0000,  2.0000,  0.0000,  0.0000,  0.0000]])
+       tensor([[0.0000, 0.0000, 4.0000, 3.0000, 1.5000, 0.0000],
+               [1.0000, 4.0000, 2.0000, 0.0000, 0.0000, 0.0000]])
     """
     out = scatter_add(src, index, dim, out, dim_size, fill_value)
     count = scatter_add(torch.ones_like(src), index, dim, None, out.size(dim))

torch_scatter/mul.py

@@ -84,8 +84,8 @@ def scatter_mul(src, index, dim=-1, out=None, dim_size=None, fill_value=1):
 
     .. testoutput::
 
-       tensor([[ 1,  1,  4,  3,  6,  0],
-               [ 6,  4,  8,  1,  1,  1]])
+       tensor([[1, 1, 4, 3, 6, 0],
+               [6, 4, 8, 1, 1, 1]])
     """
     src, out, index, dim = gen(src, index, dim, out, dim_size, fill_value)
     return ScatterMul.apply(out, src, index, dim)