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#%%
"""
This script shows how to load CCE data into a `scri.AsymptoticBondiData` object
and evaluate a set of constraints that should be satisfied involving the strain
and the Newman-Penrose quantities (assuming the waveform is in Bondi gauge).
These constraints are listed in the plot legend (see below) as equations to be
satisfied at each instant.  The violation is just one side minus the other, and
the norm is that difference squared integrated over the sphere (and
square-rooted).
"""

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# Remove trailing whitespace, and replace tabs with the appropriate number of spaces

for file in `find . -name "*.?pp"`; do
    echo "$file"; /usr/local/bin/emacs --batch "$file" \
        --eval '(setq-default indent-tabs-mode nil)' \
        --eval '(whitespace-cleanup)' \
        -f 'save-buffer'
done

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# This bash/zsh function queries for the input DOI's bibtex entry.  When the DOI points
# to a journal article, this usually resolves to the journal's own bibtex output.

doi2bibtex () {
    curl -fsSLH "Accept: application/x-bibtex" "https://doi.org/$1" | sed -e 's|%2F|/|g'
}

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As described in detail here, julia can take really excessive amounts of time to execute the first @everywhere statement on many processes — around 1 hour for thousands of processes — even if the actual code being executed everywhere is trivial. Basically, the Distributed functions need to be precompiled to make this happen quickly.

This gist provides a simple way to do so — at least on Slurm clusters (though the same principles should apply elsewhere). Just submit precompile.jl as a batch job (adjusting the SBATCH directives as needed), and it should create a sysimage that you can use to run future batch jobs. Check end of the log of the Slurm job to see exactly how to use the sysimage.

Note that both the original julia process and all processes created with addprocs should use the --sysimage=/path/to/sys_everywhere.so argument. Doing so reduces the time taken to execute the first @everywhere sta

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#!/usr/bin/env python

# Copyright (c) 2020, Michael Boyle
#
# MIT License
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

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=======================================
Running in CoprecessingFrameTransients1
=======================================
/Users/boyle/.continuum/mambaforge/envs/CoprecessingFrameTransients1/lib/python3.9/site-packages/quaternion/calculus.py:310: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.
  def fd_indefinite_integral(f, t):

python.__version__ = 3.9.16 | packaged by conda-forge | (main, Feb  1 2023, 21:42:20) 
[Clang 14.0.6 ]
numpy.__version__ = 1.21.0
scipy.__version__ = 1.7.0

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