pre-commit rerun

ctapipe/image/concentration.py

@@ -1,13 +1,10 @@
-import numpy as np
 import astropy.units as u
+import numpy as np
 
-from ..containers import (
-    ConcentrationContainer,
-    HillasParametersContainer,
-)
-from .hillas import camera_to_shower_coordinates
+from ..containers import ConcentrationContainer
 from ..instrument import CameraGeometry
 from ..utils.quantities import all_to_value
+from .hillas import camera_to_shower_coordinates
 
 __all__ = ["concentration_parameters"]
 
@@ -39,15 +36,15 @@ def concentration_parameters(geom: CameraGeometry, image, hillas_parameters):
     delta_y = pix_y - y
 
     # take pixels within one pixel diameter from the cog
-    mask_cog = (delta_x ** 2 + delta_y ** 2) < pixel_width ** 2
+    mask_cog = (delta_x**2 + delta_y**2) < pixel_width**2
     conc_cog = np.sum(image[mask_cog]) / h.intensity
 
     if hillas_parameters.width.value != 0:
         # get all pixels inside the hillas ellipse
         longi, trans = camera_to_shower_coordinates(
             pix_x, pix_y, x, y, h.psi.to_value(u.rad)
         )
-        mask_core = (longi ** 2 / length ** 2) + (trans ** 2 / width ** 2) <= 1.0
+        mask_core = (longi**2 / length**2) + (trans**2 / width**2) <= 1.0
         conc_core = image[mask_core].sum() / h.intensity
     else:
         conc_core = 0.0

ctapipe/image/image_processor.py

@@ -1,8 +1,6 @@
 """
 High level image processing  (ImageProcessor Component)
 """
-from copy import deepcopy
-
 import numpy as np
 
 from ctapipe.coordinates import TelescopeFrame
@@ -15,7 +13,7 @@
     TimingParametersContainer,
 )
 from ..core import QualityQuery, TelescopeComponent
-from ..core.traits import Bool, BoolTelescopeParameter, ComponentName, List
+from ..core.traits import BoolTelescopeParameter, ComponentName, List
 from ..instrument import SubarrayDescription
 from .cleaning import ImageCleaner
 from .concentration import concentration_parameters

ctapipe/image/timing.py

@@ -2,18 +2,14 @@
 Image timing-based shower image parametrization.
 """
 
-import numpy as np
 import astropy.units as u
-from ..containers import (
-    TimingParametersContainer,
-    HillasParametersContainer,
-)
-from .hillas import camera_to_shower_coordinates
-from ..utils.quantities import all_to_value
-from ..fitting import lts_linear_regression
-
+import numpy as np
 from numba import njit
 
+from ..containers import TimingParametersContainer
+from ..fitting import lts_linear_regression
+from ..utils.quantities import all_to_value
+from .hillas import camera_to_shower_coordinates
 
 __all__ = ["timing_parameters"]
 

ctapipe/io/hdf5eventsource.py

@@ -428,7 +428,9 @@ def _generator(self):
             timing_prefix = "timing"
 
             if self._is_hillas_in_camera_frame():
-                raise KeyError("Found DL1 parameters in camera frame. Please reprocess your files with a newer version of ctapipe.")
+                raise KeyError(
+                    "Found DL1 parameters in camera frame. Please reprocess your files with a newer version of ctapipe."
+                )
 
             param_readers = {
                 table.name: self.reader.read(