chore(format): run black on dev (#1763)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

gui_v1.py

@@ -530,7 +530,10 @@ if __name__ == "__main__":
                         self.gui_config.sg_hostapi = self.hostapis[0]
                     self.window["sg_hostapi"].Update(values=self.hostapis)
                     self.window["sg_hostapi"].Update(value=self.gui_config.sg_hostapi)
-                    if self.gui_config.sg_input_device not in self.input_devices and len(self.input_devices) > 0:
+                    if (
+                        self.gui_config.sg_input_device not in self.input_devices
+                        and len(self.input_devices) > 0
+                    ):
                         self.gui_config.sg_input_device = self.input_devices[0]
                     self.window["sg_input_device"].Update(values=self.input_devices)
                     self.window["sg_input_device"].Update(

tools/rvc_for_realtime.py

@@ -375,14 +375,20 @@ class RVC:
                 if (ix >= 0).all():
                     weight = np.square(1 / score)
                     weight /= weight.sum(axis=1, keepdims=True)
-                    npy = np.sum(self.big_npy[ix] * np.expand_dims(weight, axis=2), axis=1)
+                    npy = np.sum(
+                        self.big_npy[ix] * np.expand_dims(weight, axis=2), axis=1
+                    )
                     if self.config.is_half:
                         npy = npy.astype("float16")
                     feats[0][skip_head // 2 :] = (
-                        torch.from_numpy(npy).unsqueeze(0).to(self.device) * self.index_rate
+                        torch.from_numpy(npy).unsqueeze(0).to(self.device)
+                        * self.index_rate
                         + (1 - self.index_rate) * feats[0][skip_head // 2 :]
                     )
-                else: printt("Invalid index. You MUST use added_xxxx.index but not trained_xxxx.index!")
+                else:
+                    printt(
+                        "Invalid index. You MUST use added_xxxx.index but not trained_xxxx.index!"
+                    )
             else:
                 printt("Index search FAILED or disabled")
         except: