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A Jupyter Kernel for YAP (#yap_kernel)
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=======================
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This kernel supports interaction with YAP Prolog.
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This Jupyter kernel supports interaction with YAP Prolog. The kernel
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patches IPython and PyKernel so that the user interacts with the
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Prolog interpreter. Most of the original kernels are unaffected by the
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changes.
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You will need `python3` and `jupyter notebook`to use this package, plus:
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- `setuptools`;
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- `wheel`
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- `pip`
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The configuration script should recognize whether these Python
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packages are installed.
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See `tut.ipynb` for details on how to use the system.
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Both `jupyter notebook` and `jupyter lab` rely on the Javascript
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editor ` CodeMirror` for editing tasks such as highlighting, inlining,
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and folding. Unfortunately, `CodeMirror` does not support the Prolog
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language. Starting from Wielemaker's excellent `CodeMirror` module for
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`swish`, YAP includes a codemirror for Prolog, designed to fit easily
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with any `CodeMirror`-based application.
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+ `Jupyter lab` includes a complex dependency mechanism, that always
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tries to download from the Internet. We do a first build to ensure
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all packages are there, set the build offline, patch the different
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copies of codemirror, and build locally.
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~~~~
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CM=$HOME/github/CodeMirror
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PYLIB=$HOME/.local/lib/python3.6/site-packages
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PYSHARE=$HOME/.local/share
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cd $PYLIB/jupyterlab
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jupyter lab build
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cp commands.py commands.py.bk
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sed 's/.node., YARN_PATH,/\"node", YARN_PATH, "--offline",/g' commands.py
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cd $PYSHARE/jupyter/lab/staging/node_modules/codemirror/mode
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split -n l/5 meta.js
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cat xaa xab > meta.js
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echo ' {name: "Prolog", mime: "text\/x-prolog", mode: "prolog", ext: ["yap","pl", "ypp", "prolog"]}' >> meta.js
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cat xac xad xae >> meta.js
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cp -a $CM/mode/prolog prolog
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cd $PYLIB/jupyterlab
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jupyter lab build
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mv commands.py.bk commands.py
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~~~~
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