indices

src/napatrackmater/Trackvector.py

@@ -2485,7 +2485,7 @@ def train_gbr_neural_net(
 
     if isinstance(block_config, int):
         block_config = (block_config,)
-    if npz_file is not None:    
+    if npz_file is not None:
         mitosis_inception = MitosisInception(
             npz_file=npz_file,
             num_classes=num_classes,
@@ -4040,28 +4040,26 @@ def inception_model_prediction(
     dynamic_model=None,
     shape_model=None,
     num_samples=10,
-    device='cpu'
+    device="cpu",
 ):
     sub_dataframe = dataframe[dataframe["Track ID"] == track_id]
     sub_dataframe_dynamic = sub_dataframe[DYNAMIC_FEATURES].values
     sub_dataframe_shape = sub_dataframe[SHAPE_FEATURES].values
 
     total_duration = sub_dataframe["Track Duration"].max()
-    
+
     def sample_subarrays(data, num_samples, tracklet_length, total_duration):
-
-
+
         max_start_index = total_duration - tracklet_length
-    
-        start_indices = random.sample(range(max_start_index + 1), num_samples)
+
+        start_indices = random.sample(range(max_start_index), num_samples)
         subarrays = []
         for start_index in start_indices:
             end_index = start_index + tracklet_length
             if end_index <= total_duration:
-               sub_data = data[start_index:end_index, :]
-               if sub_data.shape[0] == tracklet_length:
-                  subarrays.append(sub_data)
-
+                sub_data = data[start_index:end_index, :]
+                if sub_data.shape[0] == tracklet_length:
+                    subarrays.append(sub_data)
 
         return subarrays
 
@@ -4117,7 +4115,9 @@ def get_most_frequent_prediction(predictions):
         return "UnClassified"
 
 
-def save_cell_type_predictions(tracks_dataframe, cell_map, predictions, save_dir, channel):
+def save_cell_type_predictions(
+    tracks_dataframe, cell_map, predictions, save_dir, channel
+):
 
     cell_type = {}
     for value in cell_map.values():

src/napatrackmater/_version.py

@@ -1,2 +1,2 @@
-__version__ = version = "5.4.5"
-__version_tuple__ = version_tuple = (5, 4, 5)
+__version__ = version = "5.4.6"
+__version_tuple__ = version_tuple = (5, 4, 6)