Updated to version 1.7.3

.github/workflows/signaloid-python.yaml

@@ -20,6 +20,7 @@ jobs:
         args:
           - host: ubuntu-22.04
           - host: macos-14
+        python-version: ["3.10", "3.11", "3.13"]
 
     runs-on:  ${{ matrix.args.host }}
 
@@ -31,6 +32,8 @@ jobs:
       uses: actions/checkout@v4
       with:
         ref: ${{ github.head_ref }}
+        fetch-depth: 0
+        fetch-tags: true
 
     - name: Debug
       run: |
@@ -43,10 +46,10 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.11"
+        python-version: ${{ matrix.python-version }}
 
     - name: Install Poetry Action
-      run: python -m pip install poetry==1.4.0
+      run: python -m pip install poetry==1.8.0
 
     - name: Print Poetry version
       run: poetry --version
@@ -57,6 +60,9 @@ jobs:
     - name: Install
       run: poetry install
 
+    - name: Install Poetry plugins
+      run: poetry self add "poetry-dynamic-versioning[plugin]>=1.0.0,<2.0.0"
+
     - name: Print Python Information
       run: |
         which python
@@ -81,12 +87,12 @@ jobs:
       uses: actions/upload-artifact@v4
       if: always()
       with:
-        name: "test-logs-${{matrix.args.host}}-${{ github.event.pull_request.head.sha || github.sha }}"
+        name: "test-logs-${{matrix.args.host}}-py${{ matrix.python-version }}-${{ github.event.pull_request.head.sha || github.sha }}"
         path: |
           ./src/signaloid/distributional_information_plotting/tests/testdata/Brown-Ham-model-actual-results_df.csv
 
     - name: Upload wheels
-      if: ${{ startsWith(matrix.args.host, 'ubuntu') }}
+      if: ${{ startsWith(matrix.args.host, 'ubuntu') && matrix.python-version == '3.11' }}
       uses: actions/upload-artifact@v4
       with:
         name: "wheel-${{ github.event.pull_request.head.sha || github.sha }}"
@@ -95,7 +101,7 @@ jobs:
 
     # Upload the artifact to the GitHub release
     - name: Upload Release Asset
-      if: ${{ github.event_name == 'release' && startsWith(matrix.args.host, 'ubuntu') }}
+      if: ${{ github.event_name == 'release' && startsWith(matrix.args.host, 'ubuntu') && matrix.python-version == '3.11' }}
       run: |
         gh release upload ${{ github.event.release.tag_name }} dist/*
       env:

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "signaloid"
-version = "1.7.2"
+version = "0.0.0"
 description = ""
 authors = [
 	"Signaloid <info@signaloid.com>"
@@ -10,24 +10,30 @@ packages = [
 	{ include = "signaloid", from = "src" }
 ]
 
+[tool.poetry-dynamic-versioning]
+enable = true
+vcs = "git"
+style = "pep440"
+
+
 [tool.poetry.group.dev.dependencies]
 wheel = "^0.46.3"
-pex = "^2.87.0"
 types-toml = "^0.10.8.20240310"
 pytest = "^8.4.2"
 mypy = "^1.19.1"
 flake8 = "^7.3.0"
 toml = "^0.10.2"
-black = {version = "^25.11.0", python = ">=3.9"}
+black = {version = "^25.11.0", python = ">=3.10"}
 
 [build-system]
-requires = ["poetry_core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.0,<2.0.0"]
+build-backend = "poetry_dynamic_versioning.backend"
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.14"
+python = ">=3.10,<3.14"
 numpy = "~2.0.2"
 matplotlib = "~3.9.4"
+Pillow = "~12.1.1"
 
 [tool.poetry.scripts]
 signaloid-uxdata-toolkit = "signaloid.uxdata_toolkit:main"
@@ -36,7 +42,7 @@ signaloid-uxdata-toolkit = "signaloid.uxdata_toolkit:main"
 warn_unused_configs = true
 strict = true
 disallow_any_generics = false
-python_version = "3.9"
+python_version = "3.10"
 
 [[tool.mypy.overrides]]
 module = [

src/signaloid/circuitpython/extended_ulab_numpy.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2025, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a
 #   copy of this software and associated documentation files (the "Software"),

src/signaloid/circuitpython/plot_wrapper.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2025, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to
@@ -38,6 +38,7 @@
     PlotData,
 )
 
+
 # The background color of the plot
 BG_COLOR = 0xFFFFFF
 BG_COLOR_STR = f"{BG_COLOR:06x}"

src/signaloid/distributional/dirac_delta.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2025, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to
@@ -174,7 +174,7 @@ def __ne__(self, other: object) -> bool:
         return self.position != other.position
 
     def __ge__(self, other: "DiracDelta") -> bool:
-        """Checks if this Dirac Delta is greater than the given Dirac Delta.
+        """Checks if this Dirac Delta is greater than or equal to the given Dirac Delta.
 
         :param other: The second Dirac Delta to use for the comparison.
         :type other: DiracDelta

src/signaloid/distributional/dirac_delta_test.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2025, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to

src/signaloid/distributional/distributional.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2024, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to
@@ -191,7 +191,10 @@ def calculate_mean(self) -> float | None:
                 total_weighted_position += dd.position * dd.mass
                 total_mass += dd.mass
 
-            self._mean = total_weighted_position / total_mass
+            if total_mass == 0:
+                self._mean = np.nan
+            else:
+                self._mean = total_weighted_position / total_mass
 
         return self._mean
 
@@ -286,7 +289,7 @@ def export(self, to_str: bool = True) -> str | bytes:
         Constructs the Ux string/Ux bytes with particle value for the `DistributionalValue`.
 
         Args:
-            to_str: Weather to export a Ux string or a Ux bytes
+            to_str: Whether to export a Ux string or a Ux bytes
                     - True: Export a Ux string
                     - False: Export a Ux bytes
 
@@ -551,7 +554,7 @@ def mean_relative_diff(self, other: "DistributionalValue") -> float:
             The relative difference between the mean values (normalized by
             the mean value of the other `DistributionalValue`).
         """
-        if self.mean is None or other.mean is None:
+        if self.mean is None or other.mean is None or other.mean == 0:
             return math.nan
 
         return abs((self.mean - other.mean) / other.mean)

src/signaloid/distributional/distributional_test.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2024, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to

src/signaloid/distributional_information_plotting/plot_histogram_dirac_deltas.py

@@ -35,7 +35,9 @@
 
 class PlotData:
     def __init__(
-        self, dist: DistributionalValue, plotting_resolution: int | None = None
+        self,
+        dist: DistributionalValue,
+        plotting_resolution: int | None = None,
     ) -> None:
         if dist.mean is None or dist.UR_order == 0:
             raise ValueError("Failed to load data")
@@ -369,7 +371,7 @@ def _get_binning(
         return (boundary_positions, bin_widths, bin_heights)
 
     @staticmethod
-    def _create_binning(
+    def create_binning(
         finite_sorted_dirac_deltas: list[DiracDelta],
         exponent: int,
         use_ttr_binning: bool,
@@ -557,21 +559,33 @@ def _construct_plot_data(self) -> None:
                 "plot_histogram_dirac_deltas: plotting_resolution must be a power of 2!"
             )
 
-        # Create the binning such that the average of two bins surrounding a Dirac delta
-        # is the Dirac delta itself.
-        boundary_positions, bin_widths, bin_heights = PlotData._create_binning(
-            finite_dirac_deltas, 0, False
-        )
+        try:
+            # Create the binning such that the average of two bins surrounding a Dirac delta
+            # is the Dirac delta itself.
+            boundary_positions, bin_widths, bin_heights = PlotData.create_binning(
+                finite_dirac_deltas, 0, False
+            )
 
-        # Find the TTR of the created binning. This is always a valid TTR.
-        ttr = PlotData._bin_pdf_to_ttr(
-            boundary_positions, bin_widths, bin_heights, self.plotting_ttr_order
-        )
+            # Find the TTR of the created binning. This is always a valid TTR.
+            ttr = PlotData._bin_pdf_to_ttr(
+                boundary_positions, bin_widths, bin_heights, self.plotting_ttr_order
+            )
 
-        # Create the binning from the obtained (valid) TTR using the TTR binning method.
-        boundary_positions, bin_widths, bin_heights = PlotData._create_binning(
-            ttr, self.plotting_ttr_order, True
-        )
+            # Create the binning from the obtained (valid) TTR using the TTR binning method.
+            boundary_positions, bin_widths, bin_heights = PlotData.create_binning(
+                ttr, self.plotting_ttr_order, True
+            )
+
+            self.positions = boundary_positions
+            self.masses = bin_heights
+        except (ValueError, TypeError):
+            positions = np.array([dd.position for dd in finite_dirac_deltas])
+            masses = np.array([dd.mass for dd in finite_dirac_deltas])
+
+            midpoints = (positions[:-1] + positions[1:]) / 2
+            left = 2 * positions[0] - midpoints[0]
+            right = 2 * positions[-1] - midpoints[-1]
+            self.positions = np.concatenate(([left], midpoints, [right]))
 
-        self.positions = boundary_positions
-        self.masses = bin_heights
+            widths = np.diff(self.positions)
+            self.masses = masses / widths

src/signaloid/distributional_information_plotting/plot_histogram_dirac_deltas_test.py

@@ -64,7 +64,7 @@ def test_create_binning_property_dirac_deltas_average_of_bins(self) -> None:
             input_dirac_delta_ensembles.append(dirac_deltas)
 
         for i, input_ensemble in enumerate(input_dirac_delta_ensembles):
-            boundary_positions, bin_widths, bin_heights = PlotData._create_binning(
+            boundary_positions, bin_widths, bin_heights = PlotData.create_binning(
                 input_ensemble, 0, False
             )
 
@@ -133,7 +133,7 @@ def test_create_binning_property_preserve_ttr(self) -> None:
         for i, input_ttr in enumerate(input_ttrs):
             exponent = ttr_orders[i]
 
-            boundary_positions, bin_widths, bin_heights = PlotData._create_binning(
+            boundary_positions, bin_widths, bin_heights = PlotData.create_binning(
                 input_ttr, exponent, True
             )
 

src/signaloid/distributional_information_plotting/plot_wrapper.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2024, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to

src/signaloid/distributional_information_plotting/plot_wrapper_test.py

@@ -1,4 +1,4 @@
-#   Copyright (c) 2024, Signaloid.
+#   Copyright (c) 2026, Signaloid.
 #
 #   Permission is hereby granted, free of charge, to any person obtaining a copy
 #   of this software and associated documentation files (the "Software"), to