diff --git a/simba/data_processors/cuda/image.py b/simba/data_processors/cuda/image.py
index 4a5674d9d..118134367 100644
--- a/simba/data_processors/cuda/image.py
+++ b/simba/data_processors/cuda/image.py
@@ -25,9 +25,8 @@
 from numba import cuda
 from numba.core.errors import NumbaPerformanceWarning
 
-from simba.data_processors.cuda.utils import (_is_cuda_available,
-                                              _cuda_luminance_pixel_to_grey,
-                                              _cuda_mse)
+from simba.data_processors.cuda.utils import (_cuda_luminance_pixel_to_grey,
+                                              _cuda_mse, _is_cuda_available)
 from simba.mixins.image_mixin import ImageMixin
 from simba.utils.checks import (check_file_exist_and_readable, check_float,
                                 check_if_dir_exists,
diff --git a/simba/data_processors/cuda/timeseries.py b/simba/data_processors/cuda/timeseries.py
index 2c4b5876f..40ae4f630 100644
--- a/simba/data_processors/cuda/timeseries.py
+++ b/simba/data_processors/cuda/timeseries.py
@@ -4,8 +4,9 @@
 import numpy as np
 from numba import cuda
 
-from simba.data_processors.cuda.utils import (_is_cuda_available, _cuda_mean,
-                                              _cuda_std, _euclid_dist_2d)
+from simba.data_processors.cuda.utils import (_cuda_mean, _cuda_std,
+                                              _euclid_dist_2d,
+                                              _is_cuda_available)
 from simba.utils.checks import check_float, check_valid_array
 from simba.utils.enums import Formats
 from simba.utils.errors import SimBAGPUError
diff --git a/simba/mixins/statistics_mixin.py b/simba/mixins/statistics_mixin.py
index c0d72cf95..a2a2d7995 100644
--- a/simba/mixins/statistics_mixin.py
+++ b/simba/mixins/statistics_mixin.py
@@ -17,6 +17,7 @@
 from numba import (bool_, float32, float64, int8, jit, njit, prange, typed,
                    types)
 from scipy import stats
+from scipy.spatial.distance import cdist
 from scipy.stats.distributions import chi2
 from sklearn.covariance import EllipticEnvelope
 from sklearn.ensemble import IsolationForest
@@ -30,7 +31,6 @@
 from simba.utils.data import bucket_data, fast_mean_rank
 from simba.utils.enums import Formats, Options
 from simba.utils.errors import CountError, InvalidInputError
-from scipy.spatial.distance import cdist
 
 
 class Statistics(FeatureExtractionMixin):
diff --git a/simba/sandbox/bg_remover_cupy.py b/simba/sandbox/bg_remover_cupy.py
index b2071be21..6a3a11eab 100644
--- a/simba/sandbox/bg_remover_cupy.py
+++ b/simba/sandbox/bg_remover_cupy.py
@@ -6,8 +6,8 @@
 import numpy as np
 
 from simba.data_processors.cuda.image import img_stack_to_grayscale_cupy
-from simba.data_processors.cuda.utils import (_is_cuda_available,
-                                              _cuda_luminance_pixel_to_grey)
+from simba.data_processors.cuda.utils import (_cuda_luminance_pixel_to_grey,
+                                              _is_cuda_available)
 from simba.utils.checks import (check_if_valid_img, check_if_valid_rgb_tuple,
                                 check_int, is_video_color)
 from simba.utils.enums import Formats
diff --git a/simba/sandbox/sliding_linearity_index.py b/simba/sandbox/sliding_linearity_index.py
index 21f3b2184..3ce29cc23 100644
--- a/simba/sandbox/sliding_linearity_index.py
+++ b/simba/sandbox/sliding_linearity_index.py
@@ -3,7 +3,8 @@
 import numpy as np
 from numba import cuda
 
-from simba.data_processors.cuda.utils import _is_cuda_available, _euclid_dist_2d
+from simba.data_processors.cuda.utils import (_euclid_dist_2d,
+                                              _is_cuda_available)
 from simba.utils.checks import check_float, check_valid_array
 from simba.utils.enums import Formats
 from simba.utils.errors import SimBAGPUError