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build: add further backslashes and remove blank comments
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.github/workflows/scripts/run_tests_coverage

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# For each package, extract coverage value from the respective coverage report:
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pkg=`echo $package | sed -E 's/^.*stdlib\///'`
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pkg_cov=$(cat reports/coverage/lcov-report/$pkg/lib/index.html | grep "fraction" | grep -oP '\d+/\d+' | awk -F'/' '{if ($1<$2) print "$\\color{red}" $0 "$"; else print "$\\color{green}" $0 "$"}' | jq -R -s -c 'split("\n")')
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pkg_cov=$(cat reports/coverage/lcov-report/$pkg/lib/index.html | grep "fraction" | grep -oP '\d+/\d+' | awk -F'/' '{if ($1<$2) print "$\\\\color{red}" $0 "$"; else print "$\\\\color{green}" $0 "$"}' | jq -R -s -c 'split("\n")')
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pkg_url="https://github.com/${github_repo}/tree/${github_ref}/${package}"
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pkg_link="<a href="$pkg_url">$pkg</a>"
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coverage="$coverage\n| $pkg_link $pkg_cov"

lib/node_modules/@stdlib/random/base/gamma/lib/main.js

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*
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* - Marsaglia, George, and Wai Wan Tsang. 2000. "A Simple Method for Generating Gamma Variables." _ACM Transactions on Mathematical Software_ 26 (3). New York, NY, USA: ACM: 363–72. doi:[10.1145/358407.358414](http://dx.doi.org/10.1145/358407.358414).
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*
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*
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* @name gamma
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* @type {PRNG}
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* @param {PositiveNumber} alpha - shape parameter

lib/node_modules/@stdlib/random/base/mt19937/lib/main.js

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*
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* - As different combinations of \\( x \\) and \\( y \\) are generated, different combinations of double-precision floating-point exponent and significand bits will be toggled, thus generating pseudorandom double-precision floating-point numbers.
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*
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*
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* ## References
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*
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* - Matsumoto, Makoto, and Takuji Nishimura. 1998. "Mersenne Twister: A 623-dimensionally Equidistributed Uniform Pseudo-random Number Generator." _ACM Transactions on Modeling and Computer Simulation_ 8 (1). New York, NY, USA: ACM: 3–30. doi:[10.1145/272991.272995][@matsumoto:1998a].
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* - Harase, Shin. 2017. "Conversion of Mersenne Twister to double-precision floating-point numbers." _ArXiv_ abs/1708.06018 (September). <https://arxiv.org/abs/1708.06018>.
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*
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* [@matsumoto:1998a]: https://doi.org/10.1145/272991.272995
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*
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*
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* @function mt19937
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* @type {PRNG}
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* @returns {PositiveInteger} pseudorandom integer

lib/node_modules/@stdlib/random/base/poisson/lib/rejection.js

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*
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* [@hormann:1993b]: http://dx.doi.org/10.1016/0167-6687(93)90997-4
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*
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*
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* @private
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* @param {PRNG} rand - PRNG for generating uniformly distributed numbers
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* @param {PositiveNumber} lambda - mean

lib/node_modules/@stdlib/random/sample/lib/renormalizing.js

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*
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* - After each draw, the probabilities of the remaining observations are renormalized so that they sum to one.
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*
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*
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* @private
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* @param {ArrayLike} x - array-like object from which to sample
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* @param {NonNegativeInteger} size - sample size

lib/node_modules/@stdlib/random/sample/lib/vose.js

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* [alias-method]: http://keithschwarz.com/darts-dice-coins/
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* [@vose:1991]: https://doi.org/10.1109/32.92917
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*
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*
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* @private
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* @param {ArrayLike} x - array-like object from which to sample
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* @param {NonNegativeInteger} size - sample size

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