Clean imports

src/nectarchain/data/container/flatfieldContainer.py

@@ -1,15 +1,15 @@
 import logging
 
-logging.basicConfig(format="%(asctime)s %(name)s %(levelname)s %(message)s")
-log = logging.getLogger(__name__)
-log.handlers = logging.getLogger("__main__").handlers
-
 import numpy as np
 from ctapipe.containers import Field
-from ctapipe.core.traits import ComponentNameList, Dict, Integer, List, Tuple
+from ctapipe.core.traits import List
 
 from .core import NectarCAMContainer
 
+logging.basicConfig(format="%(asctime)s %(name)s %(levelname)s %(message)s")
+log = logging.getLogger(__name__)
+log.handlers = logging.getLogger("__main__").handlers
+
 __all__ = ["FlatFieldContainer"]
 
 
@@ -22,10 +22,13 @@ class FlatFieldContainer(NectarCAMContainer):
         npixels (np.uint16): Number of pixels
         pixels_id (np.ndarray): Array of pixel's ID
         ucts_timestamp (np.ndarray) : Array of time stamps of each event (UTC)
-        event_type (np.ndarray): Array of trigger event types (should be all flat field events)
+        event_type (np.ndarray): Array of trigger event types (should be all flat
+        field events)
         event_id (np.ndarray): Array of the IDs of each event
-        amp_int_per_pix_per_event (np.ndarray): Array of integrated amplitude of each pulse
-        t_peak_per_pix_per_event (np.ndarray): Array of samples containing the pulse maximum
+        amp_int_per_pix_per_event (np.ndarray): Array of integrated amplitude of each
+        pulse
+        t_peak_per_pix_per_event (np.ndarray): Array of samples containing the pulse
+        maximum
         FF_coef (np.ndarray): Array of flat field coefficients
         bad_pixels (List): List of pixel identified as outliers
     """
@@ -56,30 +59,33 @@ class FlatFieldContainer(NectarCAMContainer):
         type=np.ndarray,
         dtype=np.float32,
         ndim=3,
-        description="The amplitude integrated over the window width, per pixel and per event",
+        description="amplitude integrated over the window width, per pixel per event",
     )
 
     t_peak_per_pix_per_event = Field(
         type=np.ndarray,
         dtype=np.uint8,
         ndim=3,
-        description="Sample containing the pulse maximum, per pixel and per event",
+        description="sample containing the pulse maximum, per pixel and per event",
     )
 
     FF_coef = Field(
         type=np.ndarray,
         dtype=np.float32,
         ndim=3,
-        description="The flat field coefficient, per event",
+        description="the flat field coefficients, per event",
     )
 
     # masked_wfs = Field(
-    #    type=np.ndarray, dtype=np.uint64, ndim=4, description="Masked array for amplitude integration"
+    #    type=np.ndarray,
+    #    dtype=np.uint64,
+    #    ndim=4,
+    #    description="Masked array for amplitude integration",
     # )
 
     bad_pixels = Field(
         type=List,
         dtype=np.uint16,
         ndim=1,
-        description="Pixels considered as bad in at least one gain channels",
+        description="pixels considered as bad in at least one gain channels",
     )