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‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsumkbn2/README.md‎

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# dsumkbn2
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> Compute the sum of all elements in a one-dimensional double-precision
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floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.
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> Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.
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<section class="intro">
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‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsumkbn2/benchmark/benchmark.js‎

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// MODULES //
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var bench = require('@stdlib/bench');
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var uniform = require('@stdlib/random/array/uniform');
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var isnan = require('@stdlib/math/base/assert/is-nan');
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var pow = require('@stdlib/math/base/special/pow');
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var ndarray = require('@stdlib/ndarray/base/ctor');
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var pkg = require('./../package.json').name;
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var dsumkbn2 = require('./../lib');
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var bench = require( '@stdlib/bench' );
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var uniform = require( '@stdlib/random/array/uniform' );
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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var ndarray = require( '@stdlib/ndarray/base/ctor' );
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var pkg = require( './../package.json' ).name;
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var dsumkbn2 = require( './../lib' );
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// VARIABLES //
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* @param {PositiveInteger} len - array length
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* @returns {Function} benchmark function
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*/
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function createBenchmark(len) {
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function createBenchmark( len ) {
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var xbuf;
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var x;
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xbuf = uniform(len, -10.0, 10.0, options);
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x = new ndarray(options.dtype, xbuf, [len], [1], 0, 'row-major');
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xbuf = uniform( len, -10.0, 10.0, options );
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x = new ndarray( options.dtype, xbuf, [len], [1], 0, 'row-major' );
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return benchmark;
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function benchmark(b) {
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function benchmark( b ) {
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var v;
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var i;
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b.tic();
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for (i = 0; i < b.iterations; i++) {
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v = dsumkbn2([x]);
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if (isnan(v)) {
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b.fail('should not return NaN');
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for ( i = 0; i < b.iterations; i++ ) {
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v = dsumkbn2( [x] );
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if ( isnan( v ) ) {
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b.fail( 'should not return NaN' );
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}
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}
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b.toc();
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if (isnan(v)) {
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b.fail('should not return NaN');
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if ( isnan( v ) ) {
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b.fail( 'should not return NaN' );
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}
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b.pass('benchmark finished');
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b.pass( 'benchmark finished' );
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b.end();
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}
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}
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min = 1; // 10^min
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max = 6; // 10^max
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for (i = min; i <= max; i++) {
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len = pow(10, i);
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f = createBenchmark(len);
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bench(pkg + ':len=' + len, f);
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for ( i = min; i <= max; i++ ) {
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len = pow( 10, i );
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f = createBenchmark( len );
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bench( pkg + ':len=' + len, f );
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}
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}
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‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsumkbn2/docs/types/index.d.ts‎

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* var v = dsumkbn2( [ x ] );
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* // returns 1.0
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*/
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declare function dsumkbn2(arrays: [float64ndarray]): number;
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declare function dsumkbn2( arrays: [float64ndarray] ): number;
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// EXPORTS //

‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsumkbn2/examples/index.js‎

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'use strict';
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var discreteUniform = require('@stdlib/random/array/discrete-uniform');
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var ndarray = require('@stdlib/ndarray/base/ctor');
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var ndarray2array = require('@stdlib/ndarray/to-array');
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var dsumkbn2 = require('./../lib');
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var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
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var ndarray = require( '@stdlib/ndarray/base/ctor' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var dsumkbn2 = require( './../lib' );
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var xbuf = discreteUniform(10, -50, 50, {
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var xbuf = discreteUniform( 10, -50, 50, {
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'dtype': 'float64'
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});
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var x = new ndarray('float64', xbuf, [xbuf.length], [1], 0, 'row-major');
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console.log(ndarray2array(x));
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var x = new ndarray( 'float64', xbuf, [xbuf.length], [1], 0, 'row-major' );
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console.log( ndarray2array( x ) );
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var v = dsumkbn2([x]);
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console.log(v);
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var v = dsumkbn2( [x] );
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console.log( v );

‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsumkbn2/lib/main.js‎

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// MODULES //
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var numelDimension = require('@stdlib/ndarray/base/numel-dimension');
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var getStride = require('@stdlib/ndarray/base/stride');
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var getOffset = require('@stdlib/ndarray/base/offset');
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var getData = require('@stdlib/ndarray/base/data-buffer');
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var strided = require('@stdlib/blas/ext/base/dsumkbn2').ndarray;
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var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
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var getStride = require( '@stdlib/ndarray/base/stride' );
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var getOffset = require( '@stdlib/ndarray/base/offset' );
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var getData = require( '@stdlib/ndarray/base/data-buffer' );
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var strided = require( '@stdlib/blas/ext/base/dsumkbn2' ).ndarray;
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// MAIN //

‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsumkbn2/package.json‎

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{
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"name": "@stdlib/blas/ext/base/ndarray/dsumkbn2",
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"version": "0.0.0",
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"description": "Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",
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"url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
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},
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"contributors": [
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{
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"name": "The Stdlib Authors",
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"url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
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}
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],
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"main": "./lib",
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"directories": {
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"benchmark": "./benchmark",
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"doc": "./docs",
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"example": "./examples",
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"lib": "./lib",
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"test": "./test"
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},
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"types": "./docs/types",
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"scripts": {},
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"homepage": "https://github.com/stdlib-js/stdlib",
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"repository": {
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"type": "git",
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"url": "git://github.com/stdlib-js/stdlib.git"
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},
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"bugs": {
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"url": "https://github.com/stdlib-js/stdlib/issues"
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},
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"dependencies": {},
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"devDependencies": {},
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"engines": {
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"node": ">=0.10.0",
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"npm": ">2.7.0"
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},
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"os": [
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"aix",
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"darwin",
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"freebsd",
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"linux",
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"macos",
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"openbsd",
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"sunos",
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"win32",
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"windows"
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],
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"keywords": [
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"stdlib",
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"stdmath",
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"statistics",
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"stats",
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"mathematics",
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"math",
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"blas",
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"extended",
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"sum",
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"total",
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"summation",
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"compensated",
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"kahan",
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"kbn2",
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"ndarray",
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"float64",
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"double",
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"float64array"
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],
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"__stdlib__": {}
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}
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"name": "@stdlib/blas/ext/base/ndarray/dsumkbn2",
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"version": "0.0.0",
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"description": "Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",
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"url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
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},
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"contributors": [
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{
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"name": "The Stdlib Authors",
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"url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
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}
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],
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"main": "./lib",
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"directories": {
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"benchmark": "./benchmark",
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"doc": "./docs",
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"example": "./examples",
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"lib": "./lib",
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"test": "./test"
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},
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"types": "./docs/types",
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"scripts": {},
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"homepage": "https://github.com/stdlib-js/stdlib",
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"repository": {
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"type": "git",
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"url": "git://github.com/stdlib-js/stdlib.git"
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},
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"bugs": {
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"url": "https://github.com/stdlib-js/stdlib/issues"
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},
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"dependencies": {},
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"devDependencies": {},
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"engines": {
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"node": ">=0.10.0",
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"npm": ">2.7.0"
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},
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"os": [
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"aix",
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"darwin",
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"freebsd",
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"linux",
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"macos",
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"openbsd",
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"sunos",
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"win32",
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"windows"
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],
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"keywords": [
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"stdlib",
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"stdmath",
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"statistics",
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"stats",
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"mathematics",
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"math",
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"blas",
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"extended",
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"sum",
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"total",
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"summation",
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"compensated",
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"kahan",
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"kbn2",
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"ndarray",
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"float64",
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"double",
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"float64array"
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],
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"__stdlib__": {}
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}

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