docs: update namespace table of contents

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

@@ -76,8 +76,10 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`at( x[, ...indices] )`][@stdlib/ndarray/at]</span><span class="delimiter">: </span><span class="description">return an `ndarray` element.</span>
 -   <span class="signature">[`broadcastArray( x, shape )`][@stdlib/ndarray/broadcast-array]</span><span class="delimiter">: </span><span class="description">broadcast an ndarray to a specified shape.</span>
 -   <span class="signature">[`broadcastArrays( ...arrays )`][@stdlib/ndarray/broadcast-arrays]</span><span class="delimiter">: </span><span class="description">broadcast ndarrays to a common shape.</span>
+-   <span class="signature">[`broadcastScalar( value, shape[, options] )`][@stdlib/ndarray/broadcast-scalar]</span><span class="delimiter">: </span><span class="description">broadcast a scalar value to an ndarray of a specified shape.</span>
 -   <span class="signature">[`castingModes()`][@stdlib/ndarray/casting-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray casting modes.</span>
 -   <span class="signature">[`concat( arrays[, options] )`][@stdlib/ndarray/concat]</span><span class="delimiter">: </span><span class="description">concatenate a list of ndarrays along a specified ndarray dimension.</span>
+-   <span class="signature">[`concat1d( ...arrays )`][@stdlib/ndarray/concat1d]</span><span class="delimiter">: </span><span class="description">return a one-dimensional ndarray formed by concatenating provided input arguments.</span>
 -   <span class="signature">[`copy( x[, options] )`][@stdlib/ndarray/copy]</span><span class="delimiter">: </span><span class="description">copy an input ndarray to a new ndarray having the same shape and data type.</span>
 -   <span class="signature">[`countFalsy( x[, options] )`][@stdlib/ndarray/count-falsy]</span><span class="delimiter">: </span><span class="description">count the number of falsy elements along one or more `ndarray` dimensions.</span>
 -   <span class="signature">[`countIf( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/count-if]</span><span class="delimiter">: </span><span class="description">count the number of truthy elements along one or more `ndarray` dimensions.</span>
@@ -97,13 +99,18 @@ In addition, the namespace contains the following multidimensional array utility
 -   <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">[`findLast( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/find-last]</span><span class="delimiter">: </span><span class="description">return a new ndarray containing the last elements which pass a test implemented by a predicate function along one or more ndarray dimensions.</span>
 -   <span class="signature">[`find( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/find]</span><span class="delimiter">: </span><span class="description">return a new ndarray containing the first elements which pass a test implemented by a predicate function along one or more ndarray dimensions.</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>
 -   <span class="signature">[`flags( x )`][@stdlib/ndarray/flags]</span><span class="delimiter">: </span><span class="description">return the flags of a provided ndarray.</span>
 -   <span class="signature">[`flattenBy( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/flatten-by]</span><span class="delimiter">: </span><span class="description">flatten an ndarray according to a callback function.</span>
+-   <span class="signature">[`flattenFromBy( x, dim[, options], fcn[, thisArg] )`][@stdlib/ndarray/flatten-from-by]</span><span class="delimiter">: </span><span class="description">flatten an ndarray according to a callback function starting from a specified dimension.</span>
 -   <span class="signature">[`flattenFrom( x, dim[, options] )`][@stdlib/ndarray/flatten-from]</span><span class="delimiter">: </span><span class="description">return a copy of an input ndarray where all dimensions of the input ndarray are flattened starting from a specified dimension.</span>
 -   <span class="signature">[`flatten( x[, options] )`][@stdlib/ndarray/flatten]</span><span class="delimiter">: </span><span class="description">return a flattened copy of an input ndarray.</span>
+-   <span class="signature">[`fliplr( x )`][@stdlib/ndarray/fliplr]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along the last dimension is reversed.</span>
+-   <span class="signature">[`flipud( x )`][@stdlib/ndarray/flipud]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along the second-to-last dimension is reversed.</span>
 -   <span class="signature">[`forEach( x, fcn[, thisArg] )`][@stdlib/ndarray/for-each]</span><span class="delimiter">: </span><span class="description">invoke a callback function once for each ndarray element.</span>
+-   <span class="signature">[`scalar2ndarrayLike( x, value[, options] )`][@stdlib/ndarray/from-scalar-like]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray having the same data-type as a provided ndarray.</span>
 -   <span class="signature">[`scalar2ndarray( value[, options] )`][@stdlib/ndarray/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>
 -   <span class="signature">[`includes( x, searchElement[, options] )`][@stdlib/ndarray/includes]</span><span class="delimiter">: </span><span class="description">test whether an `ndarray` contains a specified value along one or more dimensions.</span>
 -   <span class="signature">[`ind2sub( shape, idx[, options] )`][@stdlib/ndarray/ind2sub]</span><span class="delimiter">: </span><span class="description">convert a linear index to an array of subscripts.</span>
@@ -125,7 +132,9 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`orders()`][@stdlib/ndarray/orders]</span><span class="delimiter">: </span><span class="description">list of ndarray orders.</span>
 -   <span class="signature">[`outputDataTypePolicies()`][@stdlib/ndarray/output-dtype-policies]</span><span class="delimiter">: </span><span class="description">list of output ndarray data type policies.</span>
 -   <span class="signature">[`pop( x[, options] )`][@stdlib/ndarray/pop]</span><span class="delimiter">: </span><span class="description">return an array containing a read-only truncated view of an input `ndarray` and a read-only view of the last element(s) along a specified dimension.</span>
+-   <span class="signature">[`prependSingletonDimensions( x, n )`][@stdlib/ndarray/prepend-singleton-dimensions]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input ndarray with a specified number of prepended singleton dimensions.</span>
 -   <span class="signature">[`promotionRules( [dtype1, dtype2] )`][@stdlib/ndarray/promotion-rules]</span><span class="delimiter">: </span><span class="description">return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be **safely** cast.</span>
+-   <span class="signature">[`push( x, ...values )`][@stdlib/ndarray/push]</span><span class="delimiter">: </span><span class="description">return a one-dimensional ndarray formed by appending provided scalar values to a one-dimensional input ndarray.</span>
 -   <span class="signature">[`reject( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/reject]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which fail a test implemented by a predicate function.</span>
 -   <span class="signature">[`reverseDimension( x, dim )`][@stdlib/ndarray/reverse-dimension]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along a specified dimension is reversed.</span>
 -   <span class="signature">[`reverse( x )`][@stdlib/ndarray/reverse]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along each dimension is reversed.</span>
@@ -141,13 +150,17 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`sliceTo( x, ...stop[, options] )`][@stdlib/ndarray/slice-to]</span><span class="delimiter">: </span><span class="description">return a read-only truncated view of an input ndarray.</span>
 -   <span class="signature">[`slice( x, ...s[, options] )`][@stdlib/ndarray/slice]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input `ndarray`.</span>
 -   <span class="signature">[`someBy( x, n[, options], predicate[, thisArg] )`][@stdlib/ndarray/some-by]</span><span class="delimiter">: </span><span class="description">test whether at least `n` elements along one or more `ndarray` dimensions pass a test implemented by a predicate function.</span>
+-   <span class="signature">[`some( x, n[, options] )`][@stdlib/ndarray/some]</span><span class="delimiter">: </span><span class="description">test whether at least `n` elements along one or more `ndarray` dimensions are truthy.</span>
+-   <span class="signature">[`spreadDimensions( ndims, x, dims )`][@stdlib/ndarray/spread-dimensions]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input ndarray where the dimensions of the input ndarray are expanded to a specified dimensionality by spreading dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.</span>
 -   <span class="signature">[`stride( x, dim )`][@stdlib/ndarray/stride]</span><span class="delimiter">: </span><span class="description">return the stride along a specified dimension for a provided ndarray.</span>
 -   <span class="signature">[`strides( x )`][@stdlib/ndarray/strides]</span><span class="delimiter">: </span><span class="description">return the strides of a provided ndarray.</span>
 -   <span class="signature">[`sub2ind( shape, ...subscripts[, options] )`][@stdlib/ndarray/sub2ind]</span><span class="delimiter">: </span><span class="description">convert subscripts to a linear index.</span>
 -   <span class="signature">[`ndarray2array( x )`][@stdlib/ndarray/to-array]</span><span class="delimiter">: </span><span class="description">convert an ndarray to a generic array.</span>
 -   <span class="signature">[`ndarray2fancy( x[, options] )`][@stdlib/ndarray/to-fancy]</span><span class="delimiter">: </span><span class="description">convert an ndarray to an object supporting fancy indexing.</span>
 -   <span class="signature">[`ndarray2json( x )`][@stdlib/ndarray/to-json]</span><span class="delimiter">: </span><span class="description">serialize an ndarray as a JSON object.</span>
+-   <span class="signature">[`toReversedDimension( x[, options] )`][@stdlib/ndarray/to-reversed-dimension]</span><span class="delimiter">: </span><span class="description">return a new ndarray where the order of elements of an input ndarray along a specified dimension is reversed.</span>
 -   <span class="signature">[`toReversed( x )`][@stdlib/ndarray/to-reversed]</span><span class="delimiter">: </span><span class="description">return a new `ndarray` where the order of elements of an input `ndarray` is reversed along each dimension.</span>
+-   <span class="signature">[`unshift( x, ...values )`][@stdlib/ndarray/unshift]</span><span class="delimiter">: </span><span class="description">return a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.</span>
 -   <span class="signature">[`vector`][@stdlib/ndarray/vector]</span><span class="delimiter">: </span><span class="description">vector constructors and associated utilities.</span>
 -   <span class="signature">[`ndarrayWith( x, indices, value )`][@stdlib/ndarray/with]</span><span class="delimiter">: </span><span class="description">return a new ndarray with the element at a specified index replaced by a provided value.</span>
 -   <span class="signature">[`zerosLike( x[, options] )`][@stdlib/ndarray/zeros-like]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having the same shape and data type as a provided ndarray.</span>
@@ -204,10 +217,14 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/broadcast-arrays]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/broadcast-arrays
 
+[@stdlib/ndarray/broadcast-scalar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/broadcast-scalar
+
 [@stdlib/ndarray/casting-modes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/casting-modes
 
 [@stdlib/ndarray/concat]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/concat
 
+[@stdlib/ndarray/concat1d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/concat1d
+
 [@stdlib/ndarray/copy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/copy
 
 [@stdlib/ndarray/count-falsy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/count-falsy
@@ -246,6 +263,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/filter]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter
 
+[@stdlib/ndarray/find-last]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/find-last
+
 [@stdlib/ndarray/find]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/find
 
 [@stdlib/ndarray/flag]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/flag
@@ -254,12 +273,20 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/flatten-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/flatten-by
 
+[@stdlib/ndarray/flatten-from-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/flatten-from-by
+
 [@stdlib/ndarray/flatten-from]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/flatten-from
 
 [@stdlib/ndarray/flatten]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/flatten
 
+[@stdlib/ndarray/fliplr]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fliplr
+
+[@stdlib/ndarray/flipud]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/flipud
+
 [@stdlib/ndarray/for-each]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/for-each
 
+[@stdlib/ndarray/from-scalar-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/from-scalar-like
+
 [@stdlib/ndarray/from-scalar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/from-scalar
 
 [@stdlib/ndarray/includes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/includes
@@ -302,8 +329,12 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/pop]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/pop
 
+[@stdlib/ndarray/prepend-singleton-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/prepend-singleton-dimensions
+
 [@stdlib/ndarray/promotion-rules]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/promotion-rules
 
+[@stdlib/ndarray/push]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/push
+
 [@stdlib/ndarray/reject]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reject
 
 [@stdlib/ndarray/reverse-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reverse-dimension
@@ -334,6 +365,10 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/some-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/some-by
 
+[@stdlib/ndarray/some]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/some
+
+[@stdlib/ndarray/spread-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/spread-dimensions
+
 [@stdlib/ndarray/stride]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/stride
 
 [@stdlib/ndarray/strides]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/strides
@@ -346,8 +381,12 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/to-json]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/to-json
 
+[@stdlib/ndarray/to-reversed-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/to-reversed-dimension
+
 [@stdlib/ndarray/to-reversed]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/to-reversed
 
+[@stdlib/ndarray/unshift]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/unshift
+
 [@stdlib/ndarray/vector]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/vector
 
 [@stdlib/ndarray/with]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/with