Release v1.8.4

CITATION.cff

@@ -39,7 +39,7 @@ authors:
 
 date-released: 2023-03-23
 doi: 10.5281/zenodo.7869553
-version: "1.8.3"
+version: "1.8.4"
 repository-code: "https://github.com/EIT-ALIVE/eitprocessing"
 keywords:
   - Mechanical lung ventilation

eitprocessing/__init__.py

@@ -1 +1 @@
-__version__ = "1.8.3"
+__version__ = "1.8.4"

eitprocessing/datahandling/eitdata.py

@@ -2,12 +2,11 @@
 
 import warnings
 from dataclasses import InitVar, dataclass, field
-from enum import auto
+from enum import Enum
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, TypeVar
 
 import numpy as np
-from strenum import LowercaseStrEnum  # TODO: EOL 3.10: replace with native StrEnum
 
 from eitprocessing.datahandling import DataContainer
 from eitprocessing.datahandling.continuousdata import ContinuousData
@@ -173,12 +172,28 @@ def calculate_global_impedance(self) -> np.ndarray:
         return np.nansum(self.pixel_impedance, axis=(1, 2))
 
 
-class Vendor(LowercaseStrEnum):
-    """Enum indicating the vendor (manufacturer) of the source EIT device."""
+class Vendor(Enum):
+    """Enum indicating the vendor (manufacturer) of the source EIT device.
+
+    The enum values are all lowercase strings. For some manufacturers, multiple ways of wrinting are provided mapping to
+    the same value, to prevent confusion over conversion of special characters. The "simulated" vendor is provided to
+    indicate simulated data.
+    """
+
+    DRAEGER = "draeger"
+    """Dräger (PulmoVista V500)"""
+
+    TIMPEL = "timpel"
+    """Timpel (Enlight 2100)"""
+
+    SENTEC = "sentec"
+    """Sentec (Lumon)"""
 
-    DRAEGER = auto()
-    TIMPEL = auto()
-    SENTEC = auto()
     DRAGER = DRAEGER
-    DRÄGER = DRAEGER  # noqa: PLC2401
-    SIMULATED = auto()
+    """Synonym of DRAEGER"""
+
+    DRÄGER = DRAEGER  # noqa: PIE796, PLC2401
+    """Synonym of DRAEGER"""
+
+    SIMULATED = "simulated"
+    """Simulated data"""

eitprocessing/roi/watershed.py

@@ -168,7 +168,7 @@ def apply(  # noqa: PLR0915
 
             included_marker_indices = np.isin(peaks_loc_int, markers_inside_tiv_mask)
             included_peaks = np.argwhere(included_marker_indices)
-            excluded_peaks = np.argwhere(~included_marker_indices)
+            excluded_peaks = np.argwhere(peaks_loc_bool & ~included_marker_indices)
 
             included_watershed_regions = np.where(included_region, watershed_regions, np.nan)
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "eitprocessing"
-version = "1.8.3"
+version = "1.8.4"
 description = "Processing of lung image data from electrical impedance tomography."
 readme = "README.md"
 requires-python = ">=3.10"
@@ -40,7 +40,6 @@ dependencies = [
     "matplotlib>=3.10",
     "numpy >= 1.24.2",
     "scipy >= 1.10.1",
-    "strenum >= 0.4.10",
     "anytree >= 2.12.1 ",
     "typing_extensions",
     "pyyaml",
@@ -174,7 +173,7 @@ isort.known-first-party = ["eitprocessing"]
 "docs/*" = ["ALL"]
 
 [tool.bumpversion]
-current_version = "1.8.3"
+current_version = "1.8.4"
 
 [[tool.bumpversion.files]]
 filename = "pyproject.toml"

tests/test_watershed.py

@@ -159,6 +159,8 @@ def test_watershed_captures(draeger1: Sequence):
     ]:
         assert key in captures, f"captures should have a '{key}' entry"
 
+    assert len(captures["local peaks"]) == len(captures["included peaks"]) + len(captures["excluded peaks"])
+
 
 def test_watershed_no_amplitude():
     eit_data = EITData(