fix the code style of yapf 0.29 (#150)

* fix the code style of yapf 0.29

* fix flake8

mmcv/image/transforms/geometry.py

@@ -153,8 +153,8 @@ def imcrop(img, bboxes, scale=1.0, pad_fill=None):
             y_start = 0 if _y1 >= 0 else -_y1
             w = x2 - x1 + 1
             h = y2 - y1 + 1
-            patch[y_start:y_start + h, x_start:x_start +
-                  w, ...] = img[y1:y1 + h, x1:x1 + w, ...]
+            patch[y_start:y_start + h, x_start:x_start + w,
+                  ...] = img[y1:y1 + h, x1:x1 + w, ...]
         patches.append(patch)
 
     if bboxes.ndim == 1:

mmcv/parallel/distributed.py

@@ -9,7 +9,10 @@ from .scatter_gather import scatter_kwargs
 
 class MMDistributedDataParallel(nn.Module):
 
-    def __init__(self, module, dim=0, broadcast_buffers=True,
+    def __init__(self,
+                 module,
+                 dim=0,
+                 broadcast_buffers=True,
                  bucket_cap_mb=25):
         super(MMDistributedDataParallel, self).__init__()
         self.module = module

mmcv/runner/runner.py

@@ -296,7 +296,9 @@ class Runner(object):
 
         self.call_hook('after_val_epoch')
 
-    def resume(self, checkpoint, resume_optimizer=True,
+    def resume(self,
+               checkpoint,
+               resume_optimizer=True,
                map_location='default'):
         if map_location == 'default':
             device_id = torch.cuda.current_device()

mmcv/utils/misc.py

@@ -140,7 +140,7 @@ def check_prerequisites(
         prerequisites,
         checker,
         msg_tmpl='Prerequisites "{}" are required in method "{}" but not '
-        'found, please install them first.'):
+        'found, please install them first.'):  # yapf: disable
     """A decorator factory to check if prerequisites are satisfied.
 
     Args:

mmcv/video/processing.py

@@ -7,7 +7,10 @@ from mmcv.utils import requires_executable
 
 
 @requires_executable('ffmpeg')
-def convert_video(in_file, out_file, print_cmd=False, pre_options='',
+def convert_video(in_file,
+                  out_file,
+                  print_cmd=False,
+                  pre_options='',
                   **kwargs):
     """Convert a video with ffmpeg.
 

tests/test_optflow.py

@@ -119,10 +119,10 @@ def test_dequantize_flow():
     ref = np.zeros_like(flow, dtype=np.float32)
     for i in range(ref.shape[0]):
         for j in range(ref.shape[1]):
-            ref[i, j, 0] = (float(dx[i, j] + 0.5) * 2 * max_val / 255 -
-                            max_val) * w
-            ref[i, j, 1] = (float(dy[i, j] + 0.5) * 2 * max_val / 255 -
-                            max_val) * h
+            ref[i, j,
+                0] = (float(dx[i, j] + 0.5) * 2 * max_val / 255 - max_val) * w
+            ref[i, j,
+                1] = (float(dy[i, j] + 0.5) * 2 * max_val / 255 - max_val) * h
     assert_array_almost_equal(flow, ref)
 
 
@@ -156,8 +156,8 @@ def test_flow_warp():
         sy = np.floor(dy).astype(int)
         valid = (sx >= 0) & (sx < height - 1) & (sy >= 0) & (sy < width - 1)
 
-        output[valid, :] = img[dx[valid].round().astype(int), dy[valid].round(
-        ).astype(int), :]
+        output[valid, :] = img[dx[valid].round().astype(int),
+                               dy[valid].round().astype(int), :]
 
         return output