Merge branch 'develop' of https://github.com/stdlib-js/stdlib into develop

Author: kgryte

CONTRIBUTORS

@@ -3,6 +3,7 @@
 # Contributors listed in alphabetical order.
 
 Aadish Jain <[email protected]>
+Aarya Balwadkar <[email protected]>
 Aayush Khanna <[email protected]>
 Abdelrahman Samir <[email protected]>
 Abdul Kaium <[email protected]>
@@ -104,6 +105,7 @@ Ognjen Jevremović <[email protected]>
 Oneday12323 <[email protected]>
 Ori Miles <[email protected]>
 Philipp Burckhardt <[email protected]>
+Prajjwal Bajpai <[email protected]>
 Prajwal Kulkarni <[email protected]>
 Pranav Goswami <[email protected]>
 Pranjal Jha <[email protected]>

lib/node_modules/@stdlib/lapack/base/dge-trans/test/test.ndarray.js

@@ -457,20 +457,20 @@ tape( 'the function supports specifying the strides of the first and second dime
 	M = 4;
 	N = 3;
 
-	/* eslint-disable array-element-newline, no-multi-spaces, no-mixed-spaces-and-tabs */
+	/* eslint-disable array-element-newline, no-multi-spaces */
 
 	A = new Float64Array([
-		  1, 999,   2, 999,   3, 999,
+		1,   999,   2, 999,   3, 999,
 		999, 999, 999, 999, 999, 999,
-		  4, 999,   5, 999,   6, 999,
+		4,   999,   5, 999,   6, 999,
 		999, 999, 999, 999, 999, 999,
-		  7, 999,   8, 999,   9, 999,
+		7,   999,   8, 999,   9, 999,
 		999, 999, 999, 999, 999, 999,
-		 10, 999,  11, 999,  12, 999,
+		10,  999,  11, 999,  12, 999,
 		999, 999, 999, 999, 999, 999
 	]);
 
-	/* eslint-enable array-element-newline, no-multi-spaces, no-mixed-spaces-and-tabs */
+	/* eslint-enable array-element-newline, no-multi-spaces */
 
 	out = new Float64Array( M*N );
 

lib/node_modules/@stdlib/ndarray/README.md

@@ -83,6 +83,7 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`emptyLike( x[, options] )`][@stdlib/ndarray/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`empty( shape[, options] )`][@stdlib/ndarray/empty]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`FancyArray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/fancy]</span><span class="delimiter">: </span><span class="description">fancy multidimensional array constructor.</span>
+-   <span class="signature">[`fill( x, value )`][@stdlib/ndarray/fill]</span><span class="delimiter">: </span><span class="description">fill an input `ndarray` with a specified value.</span>
 -   <span class="signature">[`filterMap( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/filter-map]</span><span class="delimiter">: </span><span class="description">filter and map elements in an input ndarray to elements in a new output ndarray according to a callback function.</span>
 -   <span class="signature">[`filter( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/filter]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.</span>
 -   <span class="signature">[`flag( x, name )`][@stdlib/ndarray/flag]</span><span class="delimiter">: </span><span class="description">return a specified flag for a provided ndarray.</span>
@@ -192,6 +193,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/fancy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fancy
 
+[@stdlib/ndarray/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fill
+
 [@stdlib/ndarray/filter-map]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter-map
 
 [@stdlib/ndarray/filter]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter

lib/node_modules/@stdlib/ndarray/base/README.md

@@ -72,6 +72,7 @@ var o = ns;
 -   <span class="signature">[`emptyLike( x )`][@stdlib/ndarray/base/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`empty( dtype, shape, order )`][@stdlib/ndarray/base/empty]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`expandDimensions( x, axis )`][@stdlib/ndarray/base/expand-dimensions]</span><span class="delimiter">: </span><span class="description">expand the shape of an array by inserting a new dimension of size one at a specified axis.</span>
+-   <span class="signature">[`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]</span><span class="delimiter">: </span><span class="description">fill an input ndarray according to a callback function.</span>
 -   <span class="signature">[`fill( x, value )`][@stdlib/ndarray/base/fill]</span><span class="delimiter">: </span><span class="description">fill an input ndarray with a specified value.</span>
 -   <span class="signature">[`flag( x, name )`][@stdlib/ndarray/base/flag]</span><span class="delimiter">: </span><span class="description">return a specified flag for a provided ndarray.</span>
 -   <span class="signature">[`flags( x, copy )`][@stdlib/ndarray/base/flags]</span><span class="delimiter">: </span><span class="description">return the flags of a provided ndarray.</span>
@@ -259,6 +260,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/expand-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/expand-dimensions
 
+[@stdlib/ndarray/base/fill-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill-by
+
 [@stdlib/ndarray/base/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill
 
 [@stdlib/ndarray/base/flag]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/flag

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

@@ -51,6 +51,7 @@ import empty = require( '@stdlib/ndarray/base/empty' );
 import emptyLike = require( '@stdlib/ndarray/base/empty-like' );
 import expandDimensions = require( '@stdlib/ndarray/base/expand-dimensions' );
 import fill = require( '@stdlib/ndarray/base/fill' );
+import fillBy = require( '@stdlib/ndarray/base/fill-by' );
 import flag = require( '@stdlib/ndarray/base/flag' );
 import flags = require( '@stdlib/ndarray/base/flags' );
 import fliplr = require( '@stdlib/ndarray/base/fliplr' );
@@ -986,6 +987,49 @@ interface Namespace {
 	*/
 	fill: typeof fill;
 
+	/**
+	* Fills an input ndarray according to a callback function.
+	*
+	* @param x - input ndarray
+	* @param fcn - callback function
+	* @param thisArg - callback function execution context
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	*
+	* function fcn() {
+	*     return 10.0;
+	* }
+	*
+	* // Create a data buffer:
+	* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	*
+	* // Define the shape of the input array:
+	* var shape = [ 3, 1, 2 ];
+	*
+	* // Define the array strides:
+	* var sx = [ 2, 2, 1 ];
+	*
+	* // Define the index offset:
+	* var ox = 0;
+	*
+	* // Create the input ndarray-like object:
+	* var x = {
+	*     'dtype': 'float64',
+	*     'data': xbuf,
+	*     'shape': shape,
+	*     'strides': sx,
+	*     'offset': ox,
+	*     'order': 'row-major'
+	* };
+	*
+	* ns.fillBy( x, fcn );
+	*
+	* console.log( x.data );
+	* // => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ]
+	*/
+	fillBy: typeof fillBy;
+
 	/**
 	* Returns a specified flag for a provided ndarray.
 	*

lib/node_modules/@stdlib/ndarray/docs/types/index.d.ts

@@ -35,6 +35,7 @@ import dtypes = require( '@stdlib/ndarray/dtypes' );
 import empty = require( '@stdlib/ndarray/empty' );
 import emptyLike = require( '@stdlib/ndarray/empty-like' );
 import FancyArray = require( '@stdlib/ndarray/fancy' );
+import fill = require( '@stdlib/ndarray/fill' );
 import filter = require( '@stdlib/ndarray/filter' );
 import filterMap = require( '@stdlib/ndarray/filter-map' );
 import flag = require( '@stdlib/ndarray/flag' );
@@ -570,6 +571,28 @@ interface Namespace {
 	*/
 	FancyArray: typeof FancyArray;
 
+	/**
+	* Fills an input ndarray with a specified value.
+	*
+	* @param x - input ndarray
+	* @param value - scalar value
+	* @returns input ndarray
+	*
+	* @example
+	* var zeros = require( '@stdlib/ndarray/zeros' );
+	* var getData = require( '@stdlib/ndarray/data-buffer' );
+	*
+	* var x = zeros( [ 3, 1, 2 ], {
+	*     'dtype': 'float64'
+	* });
+	*
+	* ns.fill( x, 10.0 );
+	*
+	* console.log( getData( x ) );
+	* // => <Float64Array>[ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ]
+	*/
+	fill: typeof fill;
+
 	/**
 	* Returns a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.
 	*

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

@@ -2118,8 +2118,8 @@ base.strided.meanpn,"var x = [ 1.0, -2.0, 2.0 ];\nbase.strided.meanpn( x.length,
 base.strided.meanpn.ndarray,"var x =[ 1.0, -2.0, 2.0 ];\nbase.strided.meanpn.ndarray( x.length, x, 1, 0 )\nvar x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.meanpn.ndarray( N, x, 2, 1 )\n"
 base.strided.meanpw,"var x = [ 1.0, -2.0, 2.0 ];\nbase.strided.meanpw( x.length, x, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.meanpw( 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.meanpw( N, x1, stride )\n"
 base.strided.meanpw.ndarray,"var x =[ 1.0, -2.0, 2.0 ];\nbase.strided.meanpw.ndarray( x.length, x, 1, 0 )\nvar x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.meanpw.ndarray( N, x, 2, 1 )\n"
-base.strided.meanwd,"var x = [ 1.0, -2.0, 2.0 ];\nbase.strided.meanwd( x.length, x, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.meanwd( 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.meanwd( N, x1, stride )\n"
-base.strided.meanwd.ndarray,"var x =[ 1.0, -2.0, 2.0 ];\nbase.strided.meanwd.ndarray( x.length, x, 1, 0 )\nvar x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.meanwd.ndarray( N, x, 2, 1 )\n"
+base.strided.meanwd,"var x = [ 1.0, -2.0, 2.0 ];\nbase.strided.meanwd( x.length, x, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];\nbase.strided.meanwd( 3, x, 2 )\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 );\nbase.strided.meanwd( 3, x1, 2 )\n"
+base.strided.meanwd.ndarray,"var x =[ 1.0, -2.0, 2.0 ];\nbase.strided.meanwd.ndarray( x.length, x, 1, 0 )\nvar x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];\nbase.strided.meanwd.ndarray( 3, x, 2, 1 )\n"
 base.strided.mediansorted,"var x = [ 1.0, 2.0, 3.0 ];\nbase.strided.mediansorted( x.length, x, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];\nbase.strided.mediansorted( 3, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 3.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.mediansorted( 3, x1, 2 )\n"
 base.strided.mediansorted.ndarray,"var x = [ 1.0, 2.0, 3.0 ];\nbase.strided.mediansorted.ndarray( x.length, x, 1, 0 )\nvar x = [ 1.0, -2.0, 3.0, 2.0, 5.0, 3.0 ];\nbase.strided.mediansorted.ndarray( 3, x, 2, 1 )\n"
 base.strided.metaDataProps,"var meta = { 'nargs': 7, 'nin': 1, 'nout': 1 };\nvar dt = [ 'float64', 'float64' ];\nvar obj = {};\nbase.strided.metaDataProps( meta, dt, obj, false );\nobj.nargs\nobj.nin\nobj.nout\nobj.types\n"
@@ -2166,8 +2166,8 @@ base.strided.nanmskmax,"var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];\nvar mask = [ 0, 0
 base.strided.nanmskmax.ndarray,"var x = [ 1.0, -2.0, 2.0, 4.0, NaN ];\nvar mask = [ 0, 0, 0, 1, 0 ];\nbase.strided.nanmskmax.ndarray( x.length, x, 1, 0, mask, 1, 0 )\nx = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanmskmax.ndarray( N, x, 2, 1, mask, 2, 1 )\n"
 base.strided.nanmskmin,"var x = [ 1.0, -2.0, -4.0, 2.0, NaN ];\nvar mask = [ 0, 0, 1, 0, 0 ];\nbase.strided.nanmskmin( x.length, x, 1, mask, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, -4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanmskmin( N, x, 2, mask, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, -4.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1 ] );\nvar mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nbase.strided.nanmskmin( N, x1, 2, mask1, 2 )\n"
 base.strided.nanmskmin.ndarray,"var x = [ 1.0, -2.0, 2.0, -4.0, NaN ];\nvar mask = [ 0, 0, 0, 1, 0 ];\nbase.strided.nanmskmin.ndarray( x.length, x, 1, 0, mask, 1, 0 )\nx = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, -4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanmskmin.ndarray( N, x, 2, 1, mask, 2, 1 )\n"
-base.strided.nanmskrange,"var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];\nvar mask = [ 0, 0, 1, 0, 0 ];\nbase.strided.nanmskrange( x.length, x, 1, mask, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, 4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanmskrange( N, x, 2, mask, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1 ] );\nvar mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nbase.strided.nanmskrange( N, x1, 2, mask1, 2 )\n"
-base.strided.nanmskrange.ndarray,"var x = [ 1.0, -2.0, 2.0, 4.0, NaN ];\nvar mask = [ 0, 0, 0, 1, 0 ];\nbase.strided.nanmskrange.ndarray( x.length, x, 1, 0, mask, 1, 0 )\nx = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanmskrange.ndarray( N, x, 2, 1, mask, 2, 1 )\n"
+base.strided.nanmskrange,"var x = [ 1.0, -2.0, 4.0, 2.0, NaN ];\nvar mask = [ 0, 0, 1, 0, 0 ];\nbase.strided.nanmskrange( 5, x, 1, mask, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, 4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nbase.strided.nanmskrange( 3, x, 2, mask, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1 ] );\nvar mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 );\nbase.strided.nanmskrange( 3, x1, 2, mask1, 2 )\n"
+base.strided.nanmskrange.ndarray,"var x = [ 1.0, -2.0, 2.0, 4.0, NaN ];\nvar mask = [ 0, 0, 0, 1, 0 ];\nbase.strided.nanmskrange.ndarray( 5, x, 1, 0, mask, 1, 0 )\nx = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ];\nmask = [ 0, 0, 0, 0, 0, 0, 1 ];\nbase.strided.nanmskrange.ndarray( 3, x, 2, 1, mask, 2, 1 )\n"
 base.strided.nanrange,"var x = [ 1.0, -2.0, NaN, 2.0 ];\nbase.strided.nanrange( x.length, x, 1 )\nx = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ];\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.nanrange( N, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.nanrange( N, x1, stride )\n"
 base.strided.nanrange.ndarray,"var x = [ 1.0, -2.0, NaN, 2.0 ];\nbase.strided.nanrange.ndarray( x.length, x, 1, 0 )\nvar x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanrange.ndarray( N, x, 2, 1 )\n"
 base.strided.nanrangeBy,"function accessor( v ) { return v * 2.0; };\nvar x = [ -2.0, 1.0, 3.0, -5.0, 4.0, NaN, -1.0, -3.0 ];\nbase.strided.nanrangeBy( x.length, x, 1, accessor )\nx = [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, -3.0, 1.0 ];\nvar N = base.floor( x.length / 2 );\nbase.strided.nanrangeBy( N, x, 2, accessor )\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 );\nN = base.floor( x0.length / 2 );\nbase.strided.nanrangeBy( N, x1, 2, accessor )\n"
@@ -4160,6 +4160,7 @@ ndarrayStrides,"var out = ndarrayStrides( ndzeros( [ 3, 3, 3 ] ) )\n"
 ndat,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nndat( x, 0, 1 )\nndat( x, 1, 0 )\n"
 ndempty,"var arr = ndempty( [ 2, 2 ] )\nvar sh = arr.shape\nvar dt = arr.dtype\n"
 ndemptyLike,"var x = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\nvar sh = x.shape\nvar dt = x.dtype\nvar y = ndemptyLike( x )\nsh = y.shape\ndt = y.dtype\n"
+ndfill,"var opts = { 'dtype': 'float64' };\nvar x = ndzeros( [ 2, 2 ], opts );\nx.get( 0, 0 )\nndfill( x, 10.0 );\nx.get( 0, 0 )\n"
 ndfilter,"var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );\nfunction f( v ) { return v > 2.0; };\nvar y = ndfilter( x, f );\nndarray2array( y )\n"
 ndfilterMap,"var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );\nfunction f( v ) { if ( v > 2.0 ) { return v * 10.0; } };\nvar y = ndfilterMap( x, f );\nndarray2array( y )\n"
 ndforEach,"var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );\nfunction f( v ) { if ( v !== v ) { throw new Error( '...' ); } };\nndforEach( x, f );\n"