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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/array/base/README.md
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@@ -96,6 +96,9 @@ The namespace exports the following:
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- <spanclass="signature">[`flatten5dBy( x, shape, colexicographic, clbk[, thisArg] )`][@stdlib/array/base/flatten5d-by]</span><spanclass="delimiter">: </span><spanclass="description">flatten a five-dimensional nested array according to a callback function.</span>
- <spanclass="signature">[`fliplr2d( x )`][@stdlib/array/base/fliplr2d]</span><spanclass="delimiter">: </span><spanclass="description">reverse the order of elements along the last dimension of a two-dimensional nested input array.</span>
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- <spanclass="signature">[`fliplr3d( x )`][@stdlib/array/base/fliplr3d]</span><spanclass="delimiter">: </span><spanclass="description">reverse the order of elements along the last dimension of a three-dimensional nested input array.</span>
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- <spanclass="signature">[`fliplr4d( x )`][@stdlib/array/base/fliplr4d]</span><spanclass="delimiter">: </span><spanclass="description">reverse the order of elements along the last dimension of a four-dimensional nested input array.</span>
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- <spanclass="signature">[`fliplr5d( x )`][@stdlib/array/base/fliplr5d]</span><spanclass="delimiter">: </span><spanclass="description">reverse the order of elements along the last dimension of a five-dimensional nested input array.</span>
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- <spanclass="signature">[`flipud2d( x )`][@stdlib/array/base/flipud2d]</span><spanclass="delimiter">: </span><spanclass="description">reverse the order of elements along the first dimension of a two-dimensional nested input array.</span>
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- <spanclass="signature">[`strided2array( N, x, stride, offset )`][@stdlib/array/base/from-strided]</span><spanclass="delimiter">: </span><spanclass="description">convert a strided array to a non-strided generic array.</span>
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- <spanclass="signature">[`getter( dtype )`][@stdlib/array/base/getter]</span><spanclass="delimiter">: </span><spanclass="description">return an accessor function for retrieving an element from an indexed array-like object.</span>
@@ -105,6 +108,8 @@ The namespace exports the following:
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- <spanclass="signature">[`logspace( a, b, length )`][@stdlib/array/base/logspace]</span><spanclass="delimiter">: </span><spanclass="description">generate a logarithmically spaced numeric array.</span>
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- <spanclass="signature">[`map2d( x, shape, fcn[, thisArg] )`][@stdlib/array/base/map2d]</span><spanclass="delimiter">: </span><spanclass="description">apply a function to elements in a two-dimensional nested input array and assign results to elements in a new two-dimensional nested output array.</span>
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- <spanclass="signature">[`map3d( x, shape, fcn[, thisArg] )`][@stdlib/array/base/map3d]</span><spanclass="delimiter">: </span><spanclass="description">apply a function to elements in a three-dimensional nested input array and assign results to elements in a new three-dimensional nested output array.</span>
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- <spanclass="signature">[`map4d( x, shape, fcn[, thisArg] )`][@stdlib/array/base/map4d]</span><spanclass="delimiter">: </span><spanclass="description">apply a function to elements in a four-dimensional nested input array and assign results to elements in a new four-dimensional nested output array.</span>
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- <spanclass="signature">[`map5d( x, shape, fcn[, thisArg] )`][@stdlib/array/base/map5d]</span><spanclass="delimiter">: </span><spanclass="description">apply a function to elements in a five-dimensional nested input array and assign results to elements in a new five-dimensional nested output array.</span>
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- <spanclass="signature">[`mskbinary2d( arrays, shape, fcn )`][@stdlib/array/base/mskbinary2d]</span><spanclass="delimiter">: </span><spanclass="description">apply a binary callback to elements in two two-dimensional nested input arrays according to elements in a two-dimensional nested mask array and assign results to elements in a two-dimensional nested output array.</span>
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- <spanclass="signature">[`mskunary2d( arrays, shape, fcn )`][@stdlib/array/base/mskunary2d]</span><spanclass="delimiter">: </span><spanclass="description">apply a unary callback to elements in a two-dimensional nested input array according to elements in a two-dimensional nested mask array and assign results to elements in a two-dimensional nested output array.</span>
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- <spanclass="signature">[`mskunary3d( arrays, shape, fcn )`][@stdlib/array/base/mskunary3d]</span><spanclass="delimiter">: </span><spanclass="description">apply a unary callback to elements in a three-dimensional nested input array according to elements in a three-dimensional nested mask array and assign results to elements in a three-dimensional nested output array.</span>
@@ -129,6 +134,8 @@ The namespace exports the following:
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- <spanclass="signature">[`strided2array5d( x, shape, strides, offset )`][@stdlib/array/base/strided2array5d]</span><spanclass="delimiter">: </span><spanclass="description">convert a strided array to a five-dimensional nested array.</span>
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- <spanclass="signature">[`takeIndexed( x, indices )`][@stdlib/array/base/take-indexed]</span><spanclass="delimiter">: </span><spanclass="description">take elements from an indexed array.</span>
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- <spanclass="signature">[`take( x, indices )`][@stdlib/array/base/take]</span><spanclass="delimiter">: </span><spanclass="description">take elements from an array.</span>
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- <spanclass="signature">[`take2d( x, indices, dimension, mode )`][@stdlib/array/base/take2d]</span><spanclass="delimiter">: </span><spanclass="description">take elements from a two-dimensional nested array.</span>
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- <spanclass="signature">[`take3d( x, indices, dimension, mode )`][@stdlib/array/base/take3d]</span><spanclass="delimiter">: </span><spanclass="description">take elements from a three-dimensional nested array.</span>
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- <spanclass="signature">[`ternary2d( arrays, shape, fcn )`][@stdlib/array/base/ternary2d]</span><spanclass="delimiter">: </span><spanclass="description">apply a ternary callback to elements in three two-dimensional nested input arrays and assign results to elements in a two-dimensional nested output array.</span>
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- <spanclass="signature">[`ternary3d( arrays, shape, fcn )`][@stdlib/array/base/ternary3d]</span><spanclass="delimiter">: </span><spanclass="description">apply a ternary callback to elements in three three-dimensional nested input arrays and assign results to elements in a three-dimensional nested output array.</span>
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- <spanclass="signature">[`ternary4d( arrays, shape, fcn )`][@stdlib/array/base/ternary4d]</span><spanclass="delimiter">: </span><spanclass="description">apply a ternary callback to elements in three four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/assert/README.md
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@@ -183,6 +183,12 @@ The namespace includes utilities for validating `ndarray`s (n-dimensional arrays
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<divclass="namespace-toc">
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- <spanclass="signature">[`isCentrosymmetricMatrix( value )`][@stdlib/assert/is-centrosymmetric-matrix]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a centrosymmetric matrix.</span>
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- <spanclass="signature">[`isComplex128MatrixLike( value )`][@stdlib/assert/is-complex128matrix-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a 2-dimensional ndarray-like object containing double-precision complex floating-point numbers.</span>
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- <spanclass="signature">[`isComplex128ndarrayLike( value )`][@stdlib/assert/is-complex128ndarray-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is an ndarray-like object containing double-precision complex floating-point numbers.</span>
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- <spanclass="signature">[`isComplex128VectorLike( value )`][@stdlib/assert/is-complex128vector-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a 1-dimensional ndarray-like object containing double-precision complex floating-point numbers.</span>
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- <spanclass="signature">[`isComplex64MatrixLike( value )`][@stdlib/assert/is-complex64matrix-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a 2-dimensional ndarray-like object containing single-precision complex floating-point numbers.</span>
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- <spanclass="signature">[`isComplex64ndarrayLike( value )`][@stdlib/assert/is-complex64ndarray-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is an ndarray-like object containing single-precision complex floating-point numbers.</span>
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- <spanclass="signature">[`isComplex64VectorLike( value )`][@stdlib/assert/is-complex64vector-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a 1-dimensional ndarray-like object containing single-precision complex floating-point numbers.</span>
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- <spanclass="signature">[`isFloat32MatrixLike( value )`][@stdlib/assert/is-float32matrix-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a 2-dimensional ndarray-like object containing single-precision floating-point numbers.</span>
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- <spanclass="signature">[`isFloat32ndarrayLike( value )`][@stdlib/assert/is-float32ndarray-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is an ndarray-like object containing single-precision floating-point numbers.</span>
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- <spanclass="signature">[`isFloat32VectorLike( value )`][@stdlib/assert/is-float32vector-like]</span><spanclass="delimiter">: </span><spanclass="description">test if a value is a 1-dimensional ndarray-like object containing single-precision floating-point numbers.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/ndarray/README.md
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- <spanclass="signature">[`ndsliceDimensionFrom( x, dim, start[, options] )`][@stdlib/ndarray/slice-dimension-from]</span><spanclass="delimiter">: </span><spanclass="description">return a read-only shifted view of an input `ndarray` along a specified dimension.</span>
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- <spanclass="signature">[`ndsliceDimensionTo( x, dim, stop[, options] )`][@stdlib/ndarray/slice-dimension-to]</span><spanclass="delimiter">: </span><spanclass="description">return a read-only truncated view of an input `ndarray` along a specified dimension.</span>
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- <spanclass="signature">[`ndsliceDimension( x, dim, slice[, options] )`][@stdlib/ndarray/slice-dimension]</span><spanclass="delimiter">: </span><spanclass="description">return a read-only view of an input `ndarray` when sliced along a specified dimension.</span>
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- <spanclass="signature">[`ndsliceFrom( x, ...start[, options] )`][@stdlib/ndarray/slice-from]</span><spanclass="delimiter">: </span><spanclass="description">return a read-only shifted view of an input ndarray.</span>
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- <spanclass="signature">[`ndsliceTo( x, ...stop[, options] )`][@stdlib/ndarray/slice-to]</span><spanclass="delimiter">: </span><spanclass="description">return a read-only truncated view of an input ndarray.</span>
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- <spanclass="signature">[`ndslice( x, ...s[, options] )`][@stdlib/ndarray/slice]</span><spanclass="delimiter">: </span><spanclass="description">return a read-only view of an input `ndarray`.</span>
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- <spanclass="signature">[`ndarrayStride( x, dim )`][@stdlib/ndarray/stride]</span><spanclass="delimiter">: </span><spanclass="description">return the stride along a specified dimension for a provided ndarray.</span>
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- <spanclass="signature">[`ndarrayStrides( x )`][@stdlib/ndarray/strides]</span><spanclass="delimiter">: </span><spanclass="description">return the strides of a provided ndarray.</span>
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- <spanclass="signature">[`sub2ind( shape, ...subscripts[, options] )`][@stdlib/ndarray/sub2ind]</span><spanclass="delimiter">: </span><spanclass="description">convert subscripts to a linear index.</span>
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- <spanclass="signature">[`ndarray2array( x )`][@stdlib/ndarray/to-array]</span><spanclass="delimiter">: </span><spanclass="description">convert an ndarray to a generic array.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/ndarray/base/README.md
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- <spanclass="signature">[`sliceFrom( x, start, strict, writable )`][@stdlib/ndarray/base/slice-from]</span><spanclass="delimiter">: </span><spanclass="description">return a shifted view of an input ndarray.</span>
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- <spanclass="signature">[`sliceTo( x, stop, strict, writable )`][@stdlib/ndarray/base/slice-to]</span><spanclass="delimiter">: </span><spanclass="description">return a truncated view of an input ndarray.</span>
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- <spanclass="signature">[`slice( x, slice, strict, writable )`][@stdlib/ndarray/base/slice]</span><spanclass="delimiter">: </span><spanclass="description">return a view of an input ndarray.</span>
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- <spanclass="signature">[`stride( x, dim )`][@stdlib/ndarray/base/stride]</span><spanclass="delimiter">: </span><spanclass="description">return the stride along a specified dimension for a provided ndarray.</span>
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- <spanclass="signature">[`strides( x, copy )`][@stdlib/ndarray/base/strides]</span><spanclass="delimiter">: </span><spanclass="description">return the strides of a provided ndarray.</span>
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- <spanclass="signature">[`strides2offset( shape, strides )`][@stdlib/ndarray/base/strides2offset]</span><spanclass="delimiter">: </span><spanclass="description">determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.</span>
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- <spanclass="signature">[`strides2order( strides )`][@stdlib/ndarray/base/strides2order]</span><spanclass="delimiter">: </span><spanclass="description">determine the order of a multidimensional array based on a provided stride array.</span>
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