fix linting

.cspell/custom-dictionary.txt

@@ -65,6 +65,7 @@ ipympl
 ipython
 ipywidgets
 irfft
+isin
 kernelspec
 kwds
 labview

.github/workflows/testing_multiversion.yml

@@ -7,6 +7,9 @@ on:
     paths-ignore:
       pyproject.toml
 
+env:
+  UV_SYSTEM_PYTHON: true
+
 jobs:
   pytest:
     runs-on: ubuntu-latest

.gitignore

@@ -140,5 +140,5 @@ dmypy.json
 *.nxs
 *.pxp
 
-# poetry
-poetry.toml
+# installation
+specsanalyzer.egg-info

specsanalyzer/convert.py

@@ -424,8 +424,8 @@ def calculate_matrix_correction(
 
     angle_axis = np.linspace(angle_low, angle_high, ny_pixels, endpoint=False)
 
-    mcp_position_mm_matrix = np.zeros([nx_pixels, ny_pixels])
-    angular_correction_matrix = np.zeros([nx_pixels, ny_pixels])
+    mcp_position_mm_matrix = np.zeros([nx_pixels, ny_pixels], dtype=float)
+    angular_correction_matrix = np.zeros([nx_pixels, ny_pixels], dtype=float)
     e_correction = np.zeros(ek_axis.shape)
 
     # create a meshgrid for vectorized evaluation

specsscan/core.py

@@ -643,7 +643,7 @@ def process_sweep_scan(
             energy_indices = np.argwhere(energies.values).squeeze()
             # filling target array using "nearest" method
             target_energy = data.Ekin.sel(Ekin=converted.Ekin[energies > 0], method="nearest")
-            target_indices = np.argwhere(np.in1d(data.Ekin.values, target_energy.values)).squeeze()
+            target_indices = np.argwhere(np.isin(data.Ekin.values, target_energy.values)).squeeze()
             data[:, target_indices] += converted[:, energy_indices].values
 
         self.spa.print_msg = True