diff --git a/chx_packages_local.py b/chx_packages_local.py
index a5c88fb..6fdf903 100644
--- a/chx_packages_local.py
+++ b/chx_packages_local.py
@@ -44,14 +44,14 @@
 from chx_compress import (
     MultifileBNLCustom,
     combine_binary_files,
-    create_compress_header,
     compress_eigerdata,
+    create_compress_header,
+    get_eigerImage_per_file,
+    init_compress_eigerdata,
     para_compress_eigerdata,
     para_segment_compress_eigerdata,
-    segment_compress_eigerdata, 
     read_compressed_eigerdata,
-    init_compress_eigerdata,
-    get_eigerImage_per_file,
+    segment_compress_eigerdata,
 )
 
 # from pyCHX.chx_compress_analysis import (
diff --git a/pyCHX/XPCS_SAXS.py b/pyCHX/XPCS_SAXS.py
index c7119b1..e910c8c 100644
--- a/pyCHX/XPCS_SAXS.py
+++ b/pyCHX/XPCS_SAXS.py
@@ -760,10 +760,13 @@ def get_t_iqc(FD, frame_edge, mask, pargs, nx=1500, plot_=False, save=False, sho
 
     return qp, np.array(iqs), q
 
-def get_t_iqc_imstack(imgs, frame_edge, mask, pargs, nx=1500, plot_=False, save=False, show_progress=True, *argv, **kwargs):
+
+def get_t_iqc_imstack(
+    imgs, frame_edge, mask, pargs, nx=1500, plot_=False, save=False, show_progress=True, *argv, **kwargs
+):
     """
     Get t-dependent Iq
-    
+
     variant of get_t_iqc that takes an image stack like a dask array to calculate average images and then does the radial integration
     variant by LW 05/162024
 
@@ -790,7 +793,7 @@ def get_t_iqc_imstack(imgs, frame_edge, mask, pargs, nx=1500, plot_=False, save=
     for i in range(Nt):
         t1, t2 = frame_edge[i]
         # print (t1,t2)
-        avg_img=np.average(imgs[t1:t2,:,:],axis=0)
+        avg_img = np.average(imgs[t1:t2, :, :], axis=0)
         qp, iqs[i], q = get_circular_average(avg_img, mask, pargs, nx=nx, plot_=False)
 
     if plot_:
diff --git a/pyCHX/chx_generic_functions.py b/pyCHX/chx_generic_functions.py
index a3a792f..ea7f6cd 100644
--- a/pyCHX/chx_generic_functions.py
+++ b/pyCHX/chx_generic_functions.py
@@ -3494,9 +3494,10 @@ def load_dask_data(uid, detector, mask_path_full, reverse=False, rot90=False):
     returns detector_images(dask-array), image_md
     LW 04/26/2024
     """
-    import dask
     import json
 
+    import dask
+
     hdr = db[uid]
     det = detector.split("_image")[0]
     # collect image metadata from loading single image
@@ -3520,7 +3521,7 @@ def load_dask_data(uid, detector, mask_path_full, reverse=False, rot90=False):
         got_pixel_mask = False
     # load pixel mask from static location
     if got_pixel_mask:
-        #json_open = open(_mask_path_ + "pixel_masks/pixel_mask_compression_%s.json" % detector.split("_")[0])
+        # json_open = open(_mask_path_ + "pixel_masks/pixel_mask_compression_%s.json" % detector.split("_")[0])
         json_open = open(mask_path_full + "pixel_mask_compression_%s.json" % detector.split("_")[0])
         mask_dict = json.load(json_open)
         img_md["pixel_mask"] = np.array(mask_dict["pixel_mask"])
diff --git a/pyCHX/chx_packages.py b/pyCHX/chx_packages.py
index c12535d..f7817b7 100644
--- a/pyCHX/chx_packages.py
+++ b/pyCHX/chx_packages.py
@@ -32,18 +32,17 @@
 use_pims(db)  # use pims for importing eiger data, register_handler 'AD_EIGER2' and 'AD_EIGER'
 
 from pyCHX.chx_compress import (
-   MultifileBNLCustom,
+    MultifileBNLCustom,
     combine_binary_files,
-    create_compress_header,
     compress_eigerdata,
+    create_compress_header,
+    get_eigerImage_per_file,
+    init_compress_eigerdata,
     para_compress_eigerdata,
     para_segment_compress_eigerdata,
-    segment_compress_eigerdata, 
     read_compressed_eigerdata,
-    init_compress_eigerdata,
-    get_eigerImage_per_file,
+    segment_compress_eigerdata,
 )
-
 from pyCHX.chx_compress_analysis import (
     Multifile,
     cal_each_ring_mean_intensityc,