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To build the entire paper from scratch simply run ``python`` in the top level directory. This repository may be downloaded by using a command line interface: 1. installing osfclient - `conda install osfclient` - or `pip install osfclient` 2. cloning `osf -p jn24u clone` or by simplying downloading and unpacking the zip file. All data analysis and representation was accomplished using `Python 3.7.6` with a single script ``. We use a library called `WrightTools` (see to aid in data import and representation. In order to execute ``, `WrightTools` should be installed. This can be accomplished with `conda` or `pip`. - `conda install WrightTools=3.2.7` - `pip install WrightTools==3.2.7` in which the version of `WrightTools` that was used in the workup is installed (newer versions are available). The entire project may be built by simply running `python` in a command line. `` will generate a new `wt5` files (our implementation of the excellent `hdf5` data format) and then read the data from the `wt5` files to make figures. The full latex pdf will then be built. ## Instructions for figure generation In order to run our figure generation script, the following ought to be accomplished: 0. Obtain [`Python 3.7`]( or later. (see Note 1 at bottom) 1. Obtain the [SciPy software stack]( (see Note 1 at bottom) 2. Obtain `WrightTools`. The easiest ways to get the current stable version is to use pip or conda from your command line. `pip install wrighttools` or `conda install wrighttools`. (see Note 2 at bottom) 3. Run the `` script. ## Notes 1. We find it easiest to use the excellent, free [Anaconda distribution]( to get Python and the SciPy stack on our machines. 2. Alternatively, you can clone from [GitHub]( and ensure that it is located in your PYTHONPATH. This folder should be downloaded and then the user should run `python install` while in the same directory as the WrightTools `` script. 3. If additional aid or description is needed, don't hesitate to email Darien Morrow at (permanent) or (current institution).
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