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Merge branch 'develop' of https://github.com/stdlib-js/stdlib into develop
2 parents a215aba + e454c91 commit 4e74e24

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lib/node_modules/@stdlib/blas/ext/base/dapxsum/package.json

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{
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"name": "@stdlib/blas/ext/base/dapxsum",
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"version": "0.0.0",
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"description": "Add a constant to each double-precision floating-point strided array element and computes the sum.",
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"description": "Add a constant to each double-precision floating-point strided array element and compute the sum.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn/package.json

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{
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"name": "@stdlib/blas/ext/base/dapxsumkbn",
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"version": "0.0.0",
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"description": "Add a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.",
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"description": "Add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",

lib/node_modules/@stdlib/blas/ext/base/dapxsumkbn2/package.json

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{
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"name": "@stdlib/blas/ext/base/dapxsumkbn2",
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"version": "0.0.0",
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"description": "Add a constant to each double-precision floating-point strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.",
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"description": "Add a constant to each double-precision floating-point strided array element and compute the sum 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",

lib/node_modules/@stdlib/blas/ext/base/dapxsumors/package.json

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{
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"name": "@stdlib/blas/ext/base/dapxsumors",
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"version": "0.0.0",
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"description": "Add a constant to each double-precision floating-point strided array element and computes the sum using ordinary recursive summation.",
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"description": "Add a constant to each double-precision floating-point strided array element and compute the sum using ordinary recursive summation.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",

lib/node_modules/@stdlib/blas/ext/base/dapxsumpw/package.json

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{
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"name": "@stdlib/blas/ext/base/dapxsumpw",
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"version": "0.0.0",
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"description": "Add a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.",
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"description": "Add a constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.",
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"license": "Apache-2.0",
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"author": {
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"name": "The Stdlib Authors",

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/benchmark/benchmark.js

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@@ -44,7 +44,7 @@ function createBenchmark( len ) {
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return benchmark;
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function rand() {
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if ( bernoulli( 0.5 ) < 0.2 ) {
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if ( bernoulli( 0.2 ) ) {
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return NaN;
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}
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return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/benchmark/benchmark.native.js

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return benchmark;
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function rand() {
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if ( bernoulli( 0.5 ) < 0.2 ) {
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if ( bernoulli( 0.2 ) ) {
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return NaN;
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}
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return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/benchmark/benchmark.ndarray.js

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return benchmark;
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function rand() {
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if ( bernoulli( 0.5 ) < 0.2 ) {
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if ( bernoulli( 0.2 ) ) {
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return NaN;
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}
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return uniform( -10.0, 10.0 );

lib/node_modules/@stdlib/blas/ext/base/dnanasumors/benchmark/benchmark.ndarray.native.js

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return benchmark;
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function rand() {
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if ( bernoulli( 0.5 ) < 0.2 ) {
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if ( bernoulli( 0.2 ) ) {
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return NaN;
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}
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return uniform( -10.0, 10.0 );

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

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var dnanasumors = require( './../lib' );
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function rand() {
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if ( bernoulli( 0.5 ) < 0.2 ) {
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if ( bernoulli( 0.2 ) ) {
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return NaN;
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}
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return discreteUniform( 0, 100 );

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