sorting imports

Signed-off-by: neuronflow <[email protected]>

panoptica/_functionals.py

@@ -2,7 +2,7 @@
 
 import numpy as np
 
-from panoptica.metrics import _compute_instance_iou, Metric
+from panoptica.metrics import Metric, _compute_instance_iou
 from panoptica.utils.constants import CCABackend
 from panoptica.utils.numpy_utils import _get_bbox_nd
 

panoptica/instance_approximator.py

@@ -1,13 +1,15 @@
-from abc import abstractmethod, ABC
+from abc import ABC, abstractmethod
+
+import numpy as np
+
+from panoptica._functionals import CCABackend, _connected_components
+from panoptica.timing import measure_time
+from panoptica.utils.numpy_utils import _get_smallest_fitting_uint
 from panoptica.utils.processing_pair import (
+    MatchedInstancePair,
     SemanticPair,
     UnmatchedInstancePair,
-    MatchedInstancePair,
 )
-from panoptica._functionals import _connected_components, CCABackend
-from panoptica.utils.numpy_utils import _get_smallest_fitting_uint
-from panoptica.timing import measure_time
-import numpy as np
 
 
 class InstanceApproximator(ABC):

panoptica/instance_evaluator.py

@@ -1,10 +1,11 @@
 from multiprocessing import Pool
+
 import numpy as np
 
+from panoptica.metrics import Metric
 from panoptica.panoptic_result import PanopticaResult
 from panoptica.utils import EdgeCaseHandler
 from panoptica.utils.processing_pair import MatchedInstancePair
-from panoptica.metrics import Metric
 
 
 def evaluate_matched_instance(

panoptica/metrics/cldice.py

@@ -1,5 +1,5 @@
-from skimage.morphology import skeletonize, skeletonize_3d
 import numpy as np
+from skimage.morphology import skeletonize, skeletonize_3d
 
 
 def cl_score(volume: np.ndarray, skeleton: np.ndarray):

panoptica/panoptic_evaluator.py

@@ -5,17 +5,17 @@
 from panoptica.instance_approximator import InstanceApproximator
 from panoptica.instance_evaluator import evaluate_matched_instance
 from panoptica.instance_matcher import InstanceMatchingAlgorithm
-from panoptica.metrics import Metric, _Metric, Metric
+from panoptica.metrics import Metric, _Metric
 from panoptica.panoptic_result import PanopticaResult
 from panoptica.timing import measure_time
 from panoptica.utils import EdgeCaseHandler
+from panoptica.utils.citation_reminder import citation_reminder
 from panoptica.utils.processing_pair import (
     MatchedInstancePair,
     SemanticPair,
     UnmatchedInstancePair,
     _ProcessingPair,
 )
-from panoptica.utils.citation_reminder import citation_reminder
 
 
 class Panoptic_Evaluator:

panoptica/utils/__init__.py

@@ -1,17 +1,17 @@
+from panoptica.utils.edge_case_handling import (
+    EdgeCaseHandler,
+    EdgeCaseResult,
+    EdgeCaseZeroTP,
+)
 from panoptica.utils.numpy_utils import (
     _count_unique_without_zeros,
     _unique_without_zeros,
 )
 from panoptica.utils.processing_pair import (
+    InstanceLabelMap,
+    MatchedInstancePair,
     SemanticPair,
     UnmatchedInstancePair,
-    MatchedInstancePair,
-    InstanceLabelMap,
-)
-from panoptica.utils.edge_case_handling import (
-    EdgeCaseHandler,
-    EdgeCaseResult,
-    EdgeCaseZeroTP,
 )
 
 # from utils.constants import

panoptica/utils/edge_case_handling.py

@@ -2,7 +2,7 @@
 
 import numpy as np
 
-from panoptica.metrics import Metric, Metric
+from panoptica.metrics import Metric
 from panoptica.utils.constants import _Enum_Compare, auto
 
 

panoptica/utils/processing_pair.py

@@ -3,8 +3,8 @@
 import numpy as np
 from numpy import dtype
 
-from panoptica.utils import _count_unique_without_zeros, _unique_without_zeros
 from panoptica._functionals import _get_paired_crop
+from panoptica.utils import _count_unique_without_zeros, _unique_without_zeros
 
 uint_type: type = np.unsignedinteger
 int_type: type = np.integer