Bug located in add_frequency_sweep

[gfetsis]

Before submitting the issue

• I have searched among the existing issues
• I am using a Python virtual environment

Description of the bug

Both "linear scale" and "linear count" inputs provide a linear count frequency sweep.

A linear step frequency sweep can not be defined.

The issue here is that RaptorX inside can be run only with a linear step frequency sweep defined. Linear count will return an error.

Steps To Reproduce

Create a solution setup.

setup=edbapp.create_raptorx_setup(name="Raptor_Setup"

Add a frequency sweep. Both linear scale and linear count provide the same output.

freq_sweep=setup.add_frequency_sweep(name="Sweep1", frequency_sweep=[["linear scale","0GHz","20GHz","0.05GHz"]])
freq_sweep1=setup.add_frequency_sweep(name="Sweep2", frequency_sweep=[["linear count","0GHz","20GHz","0.05GHz"]])

Which Operating System are you using?

Windows

Which Python version are you using?

3.10

Installed packages

annotated-types==0.6.0
ansys-pythonnet==3.1.0rc3
anyio==4.3.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
async-lru==2.0.4
attrs==23.2.0
Babel==2.15.0
beautifulsoup4==4.12.3
bleach==6.1.0
certifi==2024.2.2
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.7
click-plugins==1.1.1
cligj==0.7.2
clr-loader==0.2.6
colorama==0.4.6
comm==0.2.2
contourpy==1.2.1
cycler==0.12.1
debugpy==1.8.1
decorator==5.1.1
defusedxml==0.7.1
et-xmlfile==1.1.0
executing==2.0.1
fastjsonschema==2.19.1
fiona==1.9.6
fonttools==4.51.0
fpdf2==2.7.8
fqdn==1.5.1
geopandas==0.14.4
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
imageio==2.34.1
ipykernel==6.29.4
ipython==8.24.0
ipywidgets==8.1.2
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
json5==0.9.25
jsonpointer==2.4
jsonschema==4.22.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.1
jupyter_core==5.7.2
jupyter_server==2.14.0
jupyter_server_terminals==0.5.3
jupyterlab==4.1.8
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.1
jupyterlab_widgets==3.0.10
kiwisolver==1.4.5
MarkupSafe==2.1.5
matplotlib==3.8.4
matplotlib-inline==0.1.7
mistune==3.0.2
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.3
notebook==7.1.3
notebook_shim==0.2.4
numpy==1.26.4
openpyxl==3.1.2
osmnx==1.9.3
overrides==7.7.0
packaging==24.0
pandas==2.2.2
pandocfilters==1.5.1
parso==0.8.4
pillow==10.3.0
platformdirs==4.2.1
plumbum==1.8.3
pooch==1.8.1
prometheus_client==0.20.0
prompt-toolkit==3.0.43
psutil==5.9.8
pure-eval==0.2.2
pyaedt==0.9.0
pycparser==2.22
pydantic==2.7.1
pydantic_core==2.18.2
pyedb==0.11.0
Pygments==2.18.0
pyparsing==3.1.2
pyproj==3.6.1
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
pytomlpp==1.0.13
pytz==2024.1
pyvista==0.43.7
pywin32==306
pywinpty==2.0.13
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.31.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.18.1
rpyc==6.0.0
Rtree==1.2.0
scikit-rf==1.0.0
scipy==1.13.0
scooby==0.10.0
Send2Trash==1.8.3
shapely==2.0.4
six==1.16.0
sniffio==1.3.1
soupsieve==2.5
SRTM.py==0.3.7
stack-data==0.6.3
terminado==0.18.1
tinycss2==1.3.0
toml==0.10.2
tornado==6.4
traitlets==5.14.3
types-python-dateutil==2.9.0.20240316
typing_extensions==4.11.0
tzdata==2024.1
uri-template==1.3.0
urllib3==2.2.1
utm==0.7.0
vtk==9.2.6
wcwidth==0.2.13
webcolors==1.13
webencodings==0.5.1
websocket-client==1.8.0
widgetsnbextension==4.0.10

[hui-zhou-a]

@gfetsis my PR might fix this issue #586