Reformatted files using black

Believe it is causing issues with getting CI to pass
imageio · Sep 30, 2018 · dd2906d · dd2906d
1 parent 9b09977
commit dd2906d
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Showing 3 changed files with 10 additions and 6 deletions.
diff --git a/imageio/core/fetching.py b/imageio/core/fetching.py
@@ -161,7 +161,7 @@ def _fetch_file(url, file_name, print_destination=True):
     for tries in range(4):
         try:
             # Checking file size and displaying it alongside the download url
-            remote_file = urlopen(url, timeout=5.)
+            remote_file = urlopen(url, timeout=5.0)
             file_size = int(remote_file.headers["Content-Length"].strip())
             size_str = _sizeof_fmt(file_size)
             print("Try %i. Download from %s (%s)" % (tries + 1, url, size_str))

diff --git a/imageio/plugins/ffmpeg.py b/imageio/plugins/ffmpeg.py
@@ -563,12 +563,16 @@ def _load_infos(self):
                 if self.request._video:
                     ffmpeg_err = (
                         "FFMPEG STDERR OUTPUT:\n"
-                        + self._stderr_catcher.get_text(.1)
+                        + self._stderr_catcher.get_text(0.1)
                         + "\n"
                     )
                     if "darwin" in sys.platform:
                         if "Unknown input format: 'avfoundation'" in ffmpeg_err:
-                            ffmpeg_err += "Try installing FFMPEG using " "home brew to get a version with " "support for cameras."
+                            ffmpeg_err += (
+                                "Try installing FFMPEG using "
+                                "home brew to get a version with "
+                                "support for cameras."
+                            )
                     raise IndexError(
                         "No video4linux camera at %s.\n\n%s"
                         % (self.request._video, ffmpeg_err)

diff --git a/imageio/plugins/pillow.py b/imageio/plugins/pillow.py
@@ -569,16 +569,16 @@ def pil_get_frame(im, is_gray=None, as_gray=None, mode=None, dtype=None):
             # Create palette array
             p = np.frombuffer(im.palette.getdata()[1], np.uint8)
             # Restore the raw mode that was saved to be used to parse the palette
-            if hasattr(im.palette, 'rawmode_saved'):
+            if hasattr(im.palette, "rawmode_saved"):
                 im.palette.rawmode = im.palette.rawmode_saved
             mode = im.palette.rawmode if im.palette.rawmode else im.palette.mode
             nchannels = len(mode)
             # Shape it.
             p.shape = -1, nchannels
-            if p.shape[1] == 3 or (p.shape[1] == 4 and mode[-1] == 'X'):
+            if p.shape[1] == 3 or (p.shape[1] == 4 and mode[-1] == "X"):
                 p = np.column_stack((p[:, :3], 255 * np.ones(p.shape[0], p.dtype)))
             # Swap the axes if the mode is in BGR and not RGB
-            if mode.startswith('BGR'):
+            if mode.startswith("BGR"):
                 p = p[:, [2, 1, 0]] if p.shape[1] == 3 else p[:, [2, 1, 0, 3]]
             # Apply palette
             frame_paletted = np.array(im, np.uint8)