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--- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- type: pre_push_report description: Results of running various checks prior to pushing changes. report: - task: run_javascript_examples status: passed - task: run_c_examples status: passed - task: run_cpp_examples status: na - task: run_javascript_readme_examples status: failed ---
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.github/workflows/lint_changed_files.yml

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- name: 'Lint against EditorConfig'
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if: success() || failure()
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run: |
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make lint-editorconfig-files FILES="${{ steps.changed-files.outputs.files }}"
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make lint-editorconfig-files EDITORCONFIG_FORMAT=github-actions FILES="${{ steps.changed-files.outputs.files }}"
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# Lint Markdown files:
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- name: 'Lint Markdown files'

lib/node_modules/@stdlib/blas/ext/base/README.md

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- <span class="signature">[`sapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum.</span>
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- <span class="signature">[`sapxsumkbn( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
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- <span class="signature">[`sapxsumkbn2( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="signature">[`sapxsumors( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumors]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
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- <span class="signature">[`sapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
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- <span class="signature">[`sapxsumpw( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumpw]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using pairwise summation.</span>
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- <span class="signature">[`sasumpw( N, x, stride )`][@stdlib/blas/ext/base/sasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation.</span>
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- <span class="signature">[`scusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements.</span>

lib/node_modules/@stdlib/blas/ext/base/dapxsumors/README.md

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## See Also
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- <span class="package-name">[`@stdlib/blas/ext/base/dapxsum`][@stdlib/blas/ext/base/dapxsum]</span><span class="delimiter">: </span><span class="description">adds a constant to each double-precision floating-point strided array element and computes the sum.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/dapxsum`][@stdlib/blas/ext/base/dapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/dsumors`][@stdlib/blas/ext/base/dsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gapxsumors`][@stdlib/blas/ext/base/gapxsumors]</span><span class="delimiter">: </span><span class="description">adds a constant to each strided array element and computes the sum using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumors`][@stdlib/blas/ext/base/sapxsumors]</span><span class="delimiter">: </span><span class="description">adds a constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gapxsumors`][@stdlib/blas/ext/base/gapxsumors]</span><span class="delimiter">: </span><span class="description">add a constant to each strided array element and compute the sum using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/sapxsumors`][@stdlib/blas/ext/base/sapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
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</section>
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lib/node_modules/@stdlib/blas/ext/base/docs/types/index.d.ts

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sapxsumkbn2: typeof sapxsumkbn2;
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/**
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* Adds a constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.
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* Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.
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*
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* @param N - number of indexed elements
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* @param alpha - constant
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* @param alpha - scalar constant
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* @param x - input array
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* @param stride - stride length
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* @param strideX - stride length
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* @returns sum
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*
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* @example

lib/node_modules/@stdlib/constants/float32/phi/README.md

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<section class="related">
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* * *
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## See Also
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- <span class="package-name">[`@stdlib/constants/float64/phi`][@stdlib/constants/float64/phi]</span><span class="delimiter">: </span><span class="description">golden ratio.</span>
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</section>
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<!-- /.related -->
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[phi-value]: http://oeis.org/A001622
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<!-- <related-links> -->
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[@stdlib/constants/float64/phi]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/constants/float64/phi
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<!-- </related-links> -->
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</section>
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<!-- /.links -->

lib/node_modules/@stdlib/number/float32/base/docs/types/index.d.ts

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*
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* @example
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* var toFloat32 = require( '@stdlib/number/float64/base/to-float32' );
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*
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* var bool = ns.signbitf( toFloat32( 4.0 ) );
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* // returns false
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*
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* @example
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* var toFloat32 = require( '@stdlib/number/float64/base/to-float32' );
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*
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* var bool = ns.signbitf( toFloat32( -9.14e-34 ) );
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* // returns true
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*

lib/node_modules/@stdlib/repl/code-blocks/data/data.csv

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@@ -2215,8 +2215,8 @@ base.strided.sapxsumkbn,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.s
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base.strided.sapxsumkbn.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumkbn.ndarray( x.length, 5.0, x, 1, 0 )\nx = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.sapxsumkbn.ndarray( 3, 5.0, x, 2, 1 )\n"
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base.strided.sapxsumkbn2,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumkbn2( x.length, 5.0, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.sapxsumkbn2( 3, 5.0, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.sapxsumkbn2( 3, 5.0, x1, 2 )\n"
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base.strided.sapxsumkbn2.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumkbn2.ndarray( x.length, 5.0, x, 1, 0 )\nx = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.sapxsumkbn2.ndarray( 3, 5.0, x, 2, 1 )\n"
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base.strided.sapxsumors,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumors( x.length, 5.0, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.sapxsumors( N, 5.0, x, stride )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.sapxsumors( N, 5.0, x1, stride )\n"
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base.strided.sapxsumors.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumors.ndarray( x.length, 5.0, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.sapxsumors.ndarray( N, 5.0, x, 2, 1 )\n"
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base.strided.sapxsumors,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumors( x.length, 5.0, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.sapxsumors( 3, 5.0, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.sapxsumors( 3, 5.0, x1, 2 )\n"
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base.strided.sapxsumors.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumors.ndarray( x.length, 5.0, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.sapxsumors.ndarray( 3, 5.0, x, 2, 1 )\n"
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base.strided.sapxsumpw,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumpw( x.length, 5.0, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar stride = 2;\nbase.strided.sapxsumpw( 3, 5.0, x, stride )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nstride = 2;\nbase.strided.sapxsumpw( 3, 5.0, x1, stride )\n"
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base.strided.sapxsumpw.ndarray,"var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.sapxsumpw.ndarray( x.length, 5.0, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.sapxsumpw.ndarray( 3, 5.0, x, 2, 1 )\n"
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base.strided.sasum,"var x = new Float32Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0 ] );\nvar s = base.strided.sasum( x.length, x, 1 )\ns = base.strided.sasum( 3, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\ns = base.strided.sasum( 3, x1, 2 )\n"

lib/node_modules/@stdlib/repl/code-blocks/data/data.json

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