Another try to fix publishing

.github/workflows/python-publish.yml

@@ -19,36 +19,25 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip build
-        pip install setuptools wheel numpy
+        pip install setuptools wheel numpy twine
     - name: Build the package
       run: |
         pip install .
-        python -m build
-    - name: Build wheel with cibuildwheel
-      run: |
-        pip install cibuildwheel
-        cibuildwheel --platform linux
-      env:
-        #it is not working with python 3.6, which is outdated and no longer supported by many modern packages, including scikit-build-core.
-        CIBW_SKIP: "cp36-*"
-        CIBW_BUILD: "cp38-* cp39-* cp310-* cp311-* cp312-*"
-
-    #- name: Publish distribution 📦 to Test PyPI
-    #  run: |
-    #    twine upload --repository testpypi wheelhouse/*  --verbose
-    #  env:
-    #    TWINE_USERNAME: __token__
-    #    TWINE_PASSWORD: ${{ secrets.TEST_PYPI_PASSWORD }}
-
+        python -m build --sdist --wheel
+
     - name: Publish distribution 📦 to Test PyPI
       if: startsWith(github.ref, 'refs/tags')
-      uses: pypa/gh-action-pypi-publish@release/v1
-      with:
-        password: ${{ secrets.TEST_PYPI_PASSWORD }}
-        repository-url: https://test.pypi.org/legacy/
-
-    - name: Publish distribution 📦 to PyPI
+      run: |
+        twine upload --skip-existing --repository testpypi dist/*.tar.gz --verbose
+      env:
+        TWINE_USERNAME: __token__
+        TWINE_PASSWORD: ${{ secrets.TEST_PYPI_PASSWORD }}
+
+
+    - name: Publish distribution 📦 to  PyPI
       if: startsWith(github.ref, 'refs/tags')
-      uses: pypa/gh-action-pypi-publish@release/v1
-      with:
-        password: ${{ secrets.PYPI_PASSWORD }}
+      run: |
+        twine upload --skip-existing dist/*.tar.gz  --verbose
+      env:
+        TWINE_USERNAME: __token__
+        TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}

aurora/__init__.py

@@ -1,5 +1,5 @@
 name = "aurora"
-__version__ = "3.0.1"
+__version__ = "3.0.6"
 
 import numpy as np, os
 

aurora/core.py

@@ -141,15 +141,17 @@ def reload_namelist(self, namelist=None):
         # Extract one by one all the inputs from namelist
         # as attributes of asim, keeping the same name  
         #NOTE T.O. I'm not a fan of this MATLAB approach.. 
+
         for parameter in self.namelist:
             if parameter == 'kin_profs':
-                pass
+                continue
             elif isinstance(self.namelist[parameter], dict):
                 for sub_parameter in self.namelist[parameter]:
-                     setattr(self, sub_parameter, self.namelist[parameter][sub_parameter])
+                     if sub_parameter != 'nbi_cxr':
+                        setattr(self, sub_parameter, self.namelist[parameter][sub_parameter])
             else:
                 setattr(self, parameter, self.namelist[parameter])
-        
+
         # consistency checks for divertor parameters
         if not 0.0 <= self.div_neut_screen <= 1.0:
             raise ValueError("div_neut_screen must be between 0.0 and 1.0!")