rquire python 3.6

.travis.yml

@@ -17,14 +17,10 @@ env:
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu92
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu100
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu101
-    # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cpu
+    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cpu
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu92
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu101
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cpu
-    # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu92
-    # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu100
-    # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu101
 
 jobs:
   exclude:  # Exclude *all* macOS CUDA jobs and Windows CUDA 9.2/10.0 jobs.
@@ -46,12 +42,6 @@ jobs:
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
     - os: osx
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu101
-    - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu92
-    - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu100
-    - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu101
     - os: windows
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu92
     - os: windows
@@ -64,24 +54,21 @@ jobs:
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu92
     - os: windows
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
-    - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu92
-    - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu100
 
 
 install:
   - source script/cuda.sh
   - source script/conda.sh
+  - pip install flake8 codecov
   - python setup.py install
 
 script:
-  - if [ "${PYTHON_VERSION}" != "3.5" ]; then pip install flake8 && flake8 .; fi
+  - flake8 .
   - python setup.py test
 after_success:
   - python setup.py bdist_wheel --dist-dir=dist/torch-${TORCH_VERSION}
   - python script/rename_wheel.py ${IDX}
-  - pip install codecov && codecov
+  - codecov
 deploy:
   provider: s3
   region: eu-central-1

setup.py

@@ -37,11 +37,11 @@ def get_extensions():
 
         sources = [main]
 
-        path = osp.join(extensions_dir, 'cpu', name + '_cpu.cpp')
+        path = osp.join(extensions_dir, 'cpu', f'{name}_cpu.cpp')
         if osp.exists(path):
             sources += [path]
 
-        path = osp.join(extensions_dir, 'cuda', name + '_cuda.cu')
+        path = osp.join(extensions_dir, 'cuda', f'{name}_cuda.cu')
         if WITH_CUDA and osp.exists(path):
             sources += [path]
 
@@ -70,7 +70,7 @@ setup(
     description='PyTorch Extension Library of Optimized Scatter Operations',
     keywords=['pytorch', 'scatter', 'segment', 'gather'],
     license='MIT',
-    python_requires='>=3.5',
+    python_requires='>=3.6',
     install_requires=install_requires,
     setup_requires=setup_requires,
     tests_require=tests_require,

torch_scatter/__init__.py

 # flake8: noqa
 
-import glob
+import importlib
 import os.path as osp
 
 import torch
@@ -9,16 +9,16 @@ __version__ = '2.0.3'
 expected_torch_version = (1, 4)
 
 try:
-    torch.ops.load_library(
-        glob.glob(osp.join(osp.dirname(__file__), '_version.*'))[0])
+    torch.ops.load_library(importlib.machinery.PathFinder().find_spec(
+        '_version', [osp.dirname(__file__)]).origin)
 except OSError as e:
     if 'undefined symbol' in str(e):
         major, minor = [int(x) for x in torch.__version__.split('.')[:2]]
         t_major, t_minor = expected_torch_version
         if major != t_major or (major == t_major and minor != t_minor):
             raise RuntimeError(
-                'Expected PyTorch version {}.{} but found version '
-                '{}.{}.'.format(t_major, t_minor, major, minor))
+                f'Expected PyTorch version {t_major}.{t_minor} but found '
+                f'version {major}.{minor}.')
     raise OSError(e)
 
 from .scatter import (scatter_sum, scatter_add, scatter_mean, scatter_min,
@@ -43,11 +43,11 @@ if cuda_version != -1 and torch.version.cuda is not None:  # pragma: no cover
 
     if t_major != major or t_minor != minor:
         raise RuntimeError(
-            'Detected that PyTorch and torch_scatter were compiled with '
-            'different CUDA versions. PyTorch has CUDA version={}.{} and '
-            'torch_scatter has CUDA version={}.{}. Please reinstall the '
-            'torch_scatter that matches your PyTorch install.'.format(
-                t_major, t_minor, major, minor))
+            f'Detected that PyTorch and torch_scatter were compiled with '
+            f'different CUDA versions. PyTorch has CUDA version '
+            f'{t_major}.{t_minor} and torch_scatter has CUDA version '
+            f'{major}.{minor}. Please reinstall the torch_scatter that '
+            f'matches your PyTorch install.')
 
 __all__ = [
     'scatter_sum',

torch_scatter/scatter.py

-import glob
+import importlib
 import os.path as osp
 from typing import Optional, Tuple
 
@@ -6,8 +6,8 @@ import torch
 
 from .utils import broadcast
 
-torch.ops.load_library(
-    glob.glob(osp.join(osp.dirname(__file__), '_scatter.*'))[0])
+torch.ops.load_library(importlib.machinery.PathFinder().find_spec(
+    '_scatter', [osp.dirname(__file__)]).origin)
 
 
 @torch.jit.script

torch_scatter/segment_coo.py

-import glob
+import importlib
 import os.path as osp
 from typing import Optional, Tuple
 
 import torch
 
-torch.ops.load_library(
-    glob.glob(osp.join(osp.dirname(__file__), '_segment_coo.*'))[0])
+torch.ops.load_library(importlib.machinery.PathFinder().find_spec(
+    '_segment_coo', [osp.dirname(__file__)]).origin)
 
 
 @torch.jit.script

torch_scatter/segment_csr.py

-import glob
+import importlib
 import os.path as osp
 from typing import Optional, Tuple
 
 import torch
 
-torch.ops.load_library(
-    glob.glob(osp.join(osp.dirname(__file__), '_segment_csr.*'))[0])
+torch.ops.load_library(importlib.machinery.PathFinder().find_spec(
+    '_segment_csr', [osp.dirname(__file__)]).origin)
 
 
 @torch.jit.script