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renamed void_pipeline to vide_pipeline
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README.md
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README.md
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@ -79,11 +79,11 @@ After installing the package with
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To test that the package is indeed installed you can execute
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```
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python3 -m void_pipeline
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python3 -m vide_pipeline
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```
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which will state
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```
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Usage: ./generateCatalog.py parameter_file.py
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Usage: python3 -m vide_pipeline parameter_file.py
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```
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The VIDE tools are all packaged in the `vide` package.
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@ -98,17 +98,17 @@ The script generates mock catalog and a default pipeline to handle simulations.
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An example of the complete procedure is given here-below:
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```
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mkdir $HOME/my_vide_test
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cp python_tools/void_pipeline/datasets/example_simulation.py $HOME/my_vide_test
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cp python_tools/vide_pipeline/datasets/example_simulation.py $HOME/my_vide_test
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mkdir $HOME/my_vide_test/examples
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cp examples/example_simulation_z0.0.dat $HOME/my_vide_test/examples
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cd $HOME/my_vide_test
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vide_prepare_simulation --all --parm example_simulation.py
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python3 -m void_pipeline example_simulation/sim_ss1.0.py
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python3 -m vide_pipeline example_simulation/sim_ss1.0.py
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```
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The example copies the required data in a separate directory. Then, we execute
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the `vide_prepare_simulation` script to generate the auxiliary pipeline. The
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`void_pipeline` is finally executed on this generated script.
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`vide_pipeline` is finally executed on this generated script.
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Notes for CONDA
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---------------
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