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Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams

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Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams

Installation

Pip (for users)

  • Create a new virtual environment using either venv, pyenv, conda etc. See below for example.

  • Install sed, distributed as sed-processor on PyPI

pip install sed-processor
  • This should install all the requirements to run sed in your environment.

  • If you intend to work with jupyter notebooks, it is helpfull to install a jupyter kernel of your environment. This can be done, once activating your environment, by typing:

python -m ipykernel install --user --name=sed_kernel
  • To create an environment using venv, use
python -m venv .sed-venv
  • To activate your environment:
source .sed-venv/bin/activate

Poetry (for developers)

poetry shell
  • A new shell will be spawn with the new environment activated

  • Install the dependencies from the pyproject.toml by typing:

poetry install
  • If you wish to use the virtual environment created by poetry to work in a Jupyter notebook, you first need to install the optional notebook dependencies and then create a Jupyter kernel for that.

    • Install the optional dependencies ipykernel and jupyter
    poetry install -E notebook
    
    • Make sure to run the command below within your virtual environment ('poetry run' ensures this) by typing:
    poetry run ipython kernel install --user --name=sed_poetry
    
    • The new kernel will be eligible now from your kernels list in Jupyter

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