signaloid-python.patch

diff --git a/src/signaloid/distributional/distributional.py b/src/signaloid/distributional/distributional.py
index 9b31643..97fab2e 100644
--- a/src/signaloid/distributional/distributional.py
+++ b/src/signaloid/distributional/distributional.py
@@ -20,9 +20,13 @@

 import re
 import struct
-from typing import List, Optional, Union, Tuple
-import numpy as np
-from numpy.typing import NDArray
+
+try:
+    from typing import List, Optional, Union
+except ImportError:
+    pass
+
+import extended_ulab_numpy as np


 class DistributionalValue:
diff --git a/src/signaloid/distributional_information_plotting/plot_histogram_dirac_deltas.py b/src/signaloid/distributional_information_plotting/plot_histogram_dirac_deltas.py
index 351ea71..70bc0af 100644
--- a/src/signaloid/distributional_information_plotting/plot_histogram_dirac_deltas.py
+++ b/src/signaloid/distributional_information_plotting/plot_histogram_dirac_deltas.py
@@ -19,12 +19,31 @@
 #   DEALINGS IN THE SOFTWARE.

 import math
-from typing import List, Union, Tuple
-import numpy as np
-import matplotlib.pyplot as plt
-from itertools import cycle

-from signaloid.distributional import DistributionalValue
+try:
+    from typing import List, Union, Tuple
+except ImportError:
+    pass
+
+import extended_ulab_numpy as np
+import plotting as plt
+from distributional import DistributionalValue
+
+
+class cycle:
+    def __init__(self, objArr):
+        self.objArr = objArr
+        self.index = 0
+
+    def __next__(self):
+        obj = self.objArr[self.index]
+
+        if self.index < len(self.objArr):
+            self.index += 1
+        else:
+            self.index = 0
+
+        return obj


 class PlotHistogramDiracDeltas:
@@ -39,6 +58,7 @@ class PlotHistogramDiracDeltas:
         dist_samples: List[List[float]] = [],
         hatches: List[str] = [],
         colors: List[str] = [],
+        plot_name: str = "",
     ) -> Tuple[float, float, float]:
         """
         Takes a DistributionalValue list and plots each DistributionalValue as a histogram.
@@ -159,7 +179,7 @@ class PlotHistogramDiracDeltas:
                     )
                     candidate_facecolor = candidate_edgecolor + "40"
                     plt.annotate(
-                        "",
+                        plot_name,
                         xy=(
                             finite_sorted_dirac_deltas[0][0],
                             finite_sorted_dirac_deltas[0][1],
@@ -207,7 +227,9 @@ class PlotHistogramDiracDeltas:
                     align="edge",
                     edgecolor=candidate_edgecolor,
                     facecolor=candidate_facecolor,
-                    hatch=candidate_hatch
+                    hatch=candidate_hatch,
+                    title=plot_name,
+                    particle_value=dist.particle_value
                 )
                 min_range = min(min_range, boundary_positions[0])
                 max_range = max(max_range, boundary_positions[-1])