fix lint.

Author: v0lta

src/ptwt/continuous_transform.py

@@ -196,7 +196,7 @@ def _integrate(
         if type(arr) is np.ndarray:
             integral = np.cumsum(arr)
         elif type(arr) is torch.Tensor:
-            integral = torch.cumsum(arr, -1) # type: ignore
+            integral = torch.cumsum(arr, -1)  # type: ignore
         else:
             raise TypeError("Only ndarrays or tensors are integratable.")
         integral *= step

src/ptwt/packets.py

@@ -177,7 +177,11 @@ def _get_wavedec(
             return self._matrix_wavedec_dict[length]
         else:
             return partial(
-                wavedec, wavelet=self.wavelet, level=1, mode=self.mode, axis=self.axis # type: ignore
+                wavedec,
+                wavelet=self.wavelet,
+                level=1,
+                mode=self.mode,
+                axis=self.axis,  # type: ignore
             )
 
     def _get_waverec(

src/ptwt/separable_conv_transform.py

@@ -165,7 +165,7 @@ def _separable_conv_waverecn(
 
     approx: torch.Tensor = coeffs[0]
     for level_dict in coeffs[1:]:
-        keys = list(level_dict.keys()) # type: ignore
+        keys = list(level_dict.keys())  # type: ignore
         level_dict["a" * max(map(len, keys))] = approx  # type: ignore
         approx = _separable_conv_idwtn(level_dict, wavelet)  # type: ignore
     return approx