Added env file specification and bash script for env setup
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@ -1,4 +1,5 @@
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name: multiphase_chemistry_env
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name: PythonEnv5505v2
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prefix: ./envs/PythonEnv5505v2 # Custom output folder
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channels:
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- conda-forge
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- defaults
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@ -8,15 +9,11 @@ dependencies:
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- numpy
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- pandas
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- matplotlib
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- plotly=5.18
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# - openssl
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- plotly=5.24
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- scipy
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# I installed openpyxl through anaconda manager from their default curated channels
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- openpyxl=3.0.10
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- pip
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- pip:
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- h5py==3.10
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- pybis==1.35
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- igor2
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- ipykernel
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# - openai
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- h5py==3.10
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- pybis==1.35
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- igor2
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- ipykernel
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29
setup_env.sh
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29
setup_env.sh
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#!/bin/bash
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# Define the name and location of the environment
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ENV_NAME="PythonEnv5505"
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ENV_PATH="./envs/$ENV_NAME" # Define a custom output folder
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# Check if mamba is available and use it instead of conda for faster installation
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if command -v mamba &> /dev/null; then
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CONDA_COMMAND="mamba"
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else
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CONDA_COMMAND="conda"
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fi
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# Create the conda environment with all dependencies
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$CONDA_COMMAND create -y -p "$ENV_PATH" python=3.11 \
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jupyter numpy pandas matplotlib plotly=5.24 scipy pip
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# Activate the new environment
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source activate "$ENV_PATH" || conda activate "$ENV_PATH"
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# Install pip packages in one go to avoid repeated initializations
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pip install h5py==3.10 pybis==1.35 igor2 ipykernel
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# Export the environment to a YAML file
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$CONDA_COMMAND env export --prefix "$ENV_PATH" > "$ENV_PATH/environment.yaml"
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# Print success message
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echo "Environment '$ENV_NAME' created successfully at '$ENV_PATH'."
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echo "Environment configuration saved to '$ENV_PATH/environment.yaml'."
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