Merge branch 'stdlib-js:develop' into heavisidef

Author: vivekmaurya001

lib/node_modules/@stdlib/_tools/package-json/standardize/lib/keys.json

@@ -7,6 +7,7 @@
 	"author",
 	"maintainers",
 	"contributors",
+  "funding",
 	"bin",
 	"main",
 	"exports",
@@ -21,6 +22,7 @@
 	"repositories",
 	"bugs",
 	"dependencies",
+  "optionalDependencies",
 	"devDependencies",
 	"engines",
 	"os",

lib/node_modules/@stdlib/array/little-endian-float64/README.md

@@ -417,6 +417,14 @@ logEach( '%s', out );
 
 <section class="related">
 
+* * *
+
+## See Also
+
+-   <span class="package-name">[`@stdlib/array/fixed-endian-float64`][@stdlib/array/fixed-endian-float64]</span><span class="delimiter">: </span><span class="description">Float64Array having a specified byte order.</span>
+-   <span class="package-name">[`@stdlib/array/float64`][@stdlib/array/float64]</span><span class="delimiter">: </span><span class="description">Float64Array.</span>
+-   <span class="package-name">[`@stdlib/array/little-endian-float32`][@stdlib/array/little-endian-float32]</span><span class="delimiter">: </span><span class="description">Float32Array in little-endian byte order.</span>
+
 </section>
 
 <!-- /.related -->
@@ -433,6 +441,14 @@ logEach( '%s', out );
 
 [@stdlib/array/float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float64
 
+<!-- <related-links> -->
+
+[@stdlib/array/fixed-endian-float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/fixed-endian-float64
+
+[@stdlib/array/little-endian-float32]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/little-endian-float32
+
+<!-- </related-links> -->
+
 </section>
 
 <!-- /.links -->

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

@@ -304,6 +304,15 @@ int main( void ) {
 
 <section class="related">
 
+* * *
+
+## See Also
+
+-   <span class="package-name">[`@stdlib/blas/base/dcopy`][@stdlib/blas/base/dcopy]</span><span class="delimiter">: </span><span class="description">copy values from x into y.</span>
+-   <span class="package-name">[`@stdlib/blas/base/gswap`][@stdlib/blas/base/gswap]</span><span class="delimiter">: </span><span class="description">interchange two vectors.</span>
+-   <span class="package-name">[`@stdlib/blas/base/sswap`][@stdlib/blas/base/sswap]</span><span class="delimiter">: </span><span class="description">interchange two single-precision floating-point vectors.</span>
+-   <span class="package-name">[`@stdlib/blas/dswap`][@stdlib/blas/dswap]</span><span class="delimiter">: </span><span class="description">interchange two double-precision floating-point vectors.</span>
+
 </section>
 
 <!-- /.related -->
@@ -320,6 +329,18 @@ int main( void ) {
 
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
+<!-- <related-links> -->
+
+[@stdlib/blas/base/dcopy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/dcopy
+
+[@stdlib/blas/base/gswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/gswap
+
+[@stdlib/blas/base/sswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/sswap
+
+[@stdlib/blas/dswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/dswap
+
+<!-- </related-links> -->
+
 </section>
 
 <!-- /.links -->

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

@@ -144,7 +144,7 @@ var ns = extblas;
 -   <span class="signature">[`snansumkbn( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`snansumkbn2( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`snansumors( N, x, stride )`][@stdlib/blas/ext/base/snansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
--   <span class="signature">[`snansumpw( N, x, stride )`][@stdlib/blas/ext/base/snansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
+-   <span class="signature">[`snansumpw( N, x, strideX )`][@stdlib/blas/ext/base/snansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
 -   <span class="signature">[`srev( N, x, stride )`][@stdlib/blas/ext/base/srev]</span><span class="delimiter">: </span><span class="description">reverse a single-precision floating-point strided array in-place.</span>
 -   <span class="signature">[`ssort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
 -   <span class="signature">[`ssort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>

lib/node_modules/@stdlib/math/base/special/tand/README.md

@@ -170,6 +170,13 @@ int main( void ) {
 
 <section class="related">
 
+* * *
+
+## See Also
+
+-   <span class="package-name">[`@stdlib/math/base/special/tan`][@stdlib/math/base/special/tan]</span><span class="delimiter">: </span><span class="description">evaluate the tangent of a number.</span>
+-   <span class="package-name">[`@stdlib/math/base/special/cosd`][@stdlib/math/base/special/cosd]</span><span class="delimiter">: </span><span class="description">compute the cosine of an angle measured in degrees.</span>
+
 </section>
 
 <!-- /.related -->
@@ -182,6 +189,10 @@ int main( void ) {
 
 <!-- <related-links> -->
 
+[@stdlib/math/base/special/tan]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/tan
+
+[@stdlib/math/base/special/cosd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/cosd
+
 <!-- </related-links> -->
 
 </section>

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

@@ -1688,8 +1688,8 @@ base.strided.dapxsumpw,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.st
 base.strided.dapxsumpw.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dapxsumpw.ndarray( x.length, 5.0, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dapxsumpw.ndarray( 3, 5.0, x, 2, 1 )\n"
 base.strided.dasum,"var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0 ] );\nvar s = base.strided.dasum( x.length, x, 1 )\ns = base.strided.dasum( 3, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\ns = base.strided.dasum( 3, x1, 2 )\n"
 base.strided.dasum.ndarray,"var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0 ] );\nvar s = base.strided.dasum.ndarray( x.length, x, 1, 0 )\nx = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );\ns = base.strided.dasum.ndarray( 3, x, -1, x.length-1 )\n"
-base.strided.dasumpw,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dasumpw( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dasumpw( N, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dasumpw( N, x1, stride )\n"
-base.strided.dasumpw.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dasumpw.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dasumpw.ndarray( N, x, 2, 1 )\n"
+base.strided.dasumpw,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dasumpw( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar stride = 2;\nbase.strided.dasumpw( 3, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nstride = 2;\nbase.strided.dasumpw( 3, x1, stride )\n"
+base.strided.dasumpw.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dasumpw.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dasumpw.ndarray( 3, x, 2, 1 )\n"
 base.strided.daxpy,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );\nvar y = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0 ] );\nvar alpha = 5.0;\nbase.strided.daxpy( x.length, alpha, x, 1, y, 1 )\nx = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\ny = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );\nbase.strided.daxpy( 3, alpha, x, 2, y, -1 )\nvar x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\nvar y0 = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 );\nbase.strided.daxpy( 3, 5.0, x1, -2, y1, 1 )\ny0\n"
 base.strided.daxpy.ndarray,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );\nvar y = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0 ] );\nvar alpha = 5.0;\nbase.strided.daxpy.ndarray( x.length, alpha, x, 1, 0, y, 1, 0 )\nx = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );\ny = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );\nbase.strided.daxpy.ndarray( 3, alpha, x, 2, 1, y, -1, y.length-1 )\n"
 base.strided.dcbrt,"var x = new Float64Array( [ 0.0, 1.0, 8.0, 27.0 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dcbrt( x.length, x, 1, y, 1 )\nvar N = base.floor( x.length / 2 );\ny = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dcbrt( N, x, 2, y, -1 )\nvar x0 = new Float64Array( [ 0.0, 1.0, 8.0, 27.0 ] );\nvar y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 );\nN = base.floor( x0.length / 2 );\nbase.strided.dcbrt( N, x1, -2, y1, 1 )\ny0\n"