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refactor the repo and add a CLI
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.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

README.md

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```
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conda create --name <name-of-environment> python=3.10
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conda activate <name-of-environment>
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```
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pip install lnmmeshio
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pip install trame
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pip install trame-vuetify trame-vtk
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pip install trame-components
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pip install --upgrade trame-plotly
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## How to install the 4C-webviewer
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pip install plotly
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pip install pandas
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pip install vtk
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Go to the source directory and in the activated environment run
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```
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pip install -e .
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```
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## How to run the 4C-Webviewer
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Change to the directory of the repo. Activate the created conda environment and run
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To start the webviewer, in the conda environment run:
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```
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fourc_webviewer
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```
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To directly open a dat file use
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```
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fourc_webviewer --dat_file <path-to-file>
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```
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Alternatively change to the directory of the repo. Activate the created conda environment and run
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```
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python main.py
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```

fourc_webviewer/__init__.py

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fourc_webviewer/cli_utils.py

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import argparse
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import fourc_webviewer.run_webserver as webserver
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def main():
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arguments = get_arguments()
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webserver.run_webviewer(**arguments)
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def get_arguments():
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parser = argparse.ArgumentParser(description="4C Webviewer")
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parser.add_argument("--dat_file", type=str, help="input file path to visualize")
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args = parser.parse_args()
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# return arguments as dict
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return vars(args)

gui_utils.py renamed to fourc_webviewer/gui_utils.py

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from input_file_utils.dat_file_visualization import function_plot_figure
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from fourc_webviewer.input_file_utils.dat_file_visualization import function_plot_figure
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import plotly
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fourc_webviewer/input_file_utils/__init__.py

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input_file_utils/dat_file_visualization.py renamed to fourc_webviewer/input_file_utils/dat_file_visualization.py

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import plotly.express as px
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import re
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from input_file_utils.read_dat_file import (
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from fourc_webviewer.input_file_utils.read_dat_file import (
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add_dat_file_data_to_dis,
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validate_dat_file_path,
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)

input_file_utils/read_dat_file.py renamed to fourc_webviewer/input_file_utils/read_dat_file.py

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import os
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import re
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from python_utils import list_is_iterable
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from fourc_webviewer.python_utils import list_is_iterable
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def add_dat_file_data_to_dis(dis):
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