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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/ndarray/README.md
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@@ -69,6 +69,7 @@ The namespace exposes the following APIs:
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- <spanclass="signature">[`sswap( arrays )`][@stdlib/blas/base/ndarray/sswap]</span><spanclass="delimiter">: </span><spanclass="description">interchange two one-dimensional single-precision floating-point ndarrays.</span>
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- <spanclass="signature">[`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]</span><spanclass="delimiter">: </span><spanclass="description">multiply a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision complex floating-point ndarray `y`.</span>
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- <spanclass="signature">[`zcopy( arrays )`][@stdlib/blas/base/ndarray/zcopy]</span><spanclass="delimiter">: </span><spanclass="description">copy values from a one-dimensional double-precision complex floating-point ndarray `x` into a one-dimensional double-precision complex floating-point ndarray `y`.</span>
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- <spanclass="signature">[`zscal( arrays )`][@stdlib/blas/base/ndarray/zscal]</span><spanclass="delimiter">: </span><spanclass="description">multiply a one-dimensional double-precision complex floating-point ndarray by a scalar constant.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/ext/base/README.md
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@@ -114,6 +114,7 @@ var o = ns;
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- <spanclass="signature">[`dsumpw( N, x, strideX )`][@stdlib/blas/ext/base/dsumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of double-precision floating-point strided array elements using pairwise summation.</span>
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- <spanclass="signature">[`dunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/dunitspace]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
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- <spanclass="signature">[`dvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/dvander]</span><spanclass="delimiter">: </span><spanclass="description">generate a double-precision floating-point Vandermonde matrix.</span>
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- <spanclass="signature">[`dwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/dwhere]</span><spanclass="delimiter">: </span><spanclass="description">take elements from one of two double-precision floating-point strided arrays depending on a condition.</span>
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- <spanclass="signature">[`dzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/dzero-to]</span><spanclass="delimiter">: </span><spanclass="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
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- <spanclass="signature">[`gapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapx]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each element in a strided array.</span>
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- <spanclass="signature">[`gapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsum]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each strided array element and compute the sum.</span>
@@ -123,6 +124,7 @@ var o = ns;
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- <spanclass="signature">[`gapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumpw]</span><spanclass="delimiter">: </span><spanclass="description">add a scalar constant to each strided array element and compute the sum using pairwise summation.</span>
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- <spanclass="signature">[`gasumpw( N, x, strideX )`][@stdlib/blas/ext/base/gasumpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the sum of absolute values (_L1_ norm) of strided array elements using pairwise summation.</span>
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- <spanclass="signature">[`gcartesianPower( order, N, k, x, strideX, out, LDO )`][@stdlib/blas/ext/base/gcartesian-power]</span><spanclass="delimiter">: </span><spanclass="description">compute the Cartesian power for a strided array.</span>
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- <spanclass="signature">[`gcartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/gcartesian-square]</span><spanclass="delimiter">: </span><spanclass="description">compute the Cartesian square for a strided array.</span>
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- <spanclass="signature">[`gcircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/gcircshift]</span><spanclass="delimiter">: </span><spanclass="description">circularly shift the elements of a strided array by a specified number of positions.</span>
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- <spanclass="signature">[`gconjoin( N, prefix, suffix, conjunction, oxfordComma, x, strideX )`][@stdlib/blas/ext/base/gconjoin]</span><spanclass="delimiter">: </span><spanclass="description">return a string created by joining strided array elements into a human-readable list using a conjunction.</span>
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- <spanclass="signature">[`gcusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusum]</span><spanclass="delimiter">: </span><spanclass="description">calculate the cumulative sum of strided array elements.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/ndarray/README.md
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@@ -118,6 +118,7 @@ The namespace exports the following functions to manipulate multidimensional arr
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- <spanclass="signature">[`toFlippedlr( x )`][@stdlib/ndarray/to-flippedlr]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where the order of elements along the last dimension of an input `ndarray` is reversed.</span>
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- <spanclass="signature">[`toFlippedud( x )`][@stdlib/ndarray/to-flippedud]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where the order of elements along the second-to-last dimension of an input `ndarray` is reversed.</span>
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- <spanclass="signature">[`toReversedDimension( x[, options] )`][@stdlib/ndarray/to-reversed-dimension]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where the order of elements of an input ndarray along a specified dimension is reversed.</span>
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- <spanclass="signature">[`toReversedDimensions( x, dims )`][@stdlib/ndarray/to-reversed-dimensions]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where the order of elements of an input `ndarray` along specified dimensions is reversed.</span>
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- <spanclass="signature">[`toReversed( x )`][@stdlib/ndarray/to-reversed]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where the order of elements of an input `ndarray` is reversed along each dimension.</span>
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- <spanclass="signature">[`toRot180( x[, options] )`][@stdlib/ndarray/to-rot180]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where an input `ndarray` is rotated `180` degrees in a specified plane.</span>
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- <spanclass="signature">[`toRot90( x[, options] )`][@stdlib/ndarray/to-rot90]</span><spanclass="delimiter">: </span><spanclass="description">return a new `ndarray` where an input `ndarray` is rotated `90` degrees in a specified plane.</span>
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- <spanclass="signature">[`char2dtype( [ch] )`][@stdlib/ndarray/base/char2dtype]</span><spanclass="delimiter">: </span><spanclass="description">return the data type string associated with a provided single letter character abbreviation.</span>
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- <spanclass="signature">[`clampIndex( idx, max )`][@stdlib/ndarray/base/clamp-index]</span><spanclass="delimiter">: </span><spanclass="description">restrict an index to the interval `[0,max]`.</span>
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- <spanclass="signature">[`complementShape( shape, dims )`][@stdlib/ndarray/base/complement-shape]</span><spanclass="delimiter">: </span><spanclass="description">return the shape defined by the dimensions which are not included in a list of dimensions.</span>
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- <spanclass="signature">[`consensusOrder( strides )`][@stdlib/ndarray/base/consensus-order]</span><spanclass="delimiter">: </span><spanclass="description">resolve the most common underlying storage layout.</span>
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- <spanclass="signature">[`copy( x )`][@stdlib/ndarray/base/copy]</span><spanclass="delimiter">: </span><spanclass="description">copy an input ndarray to a new ndarray having the same shape and data type.</span>
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- <spanclass="signature">[`countFalsy( arrays )`][@stdlib/ndarray/base/count-falsy]</span><spanclass="delimiter">: </span><spanclass="description">count the number of falsy elements in an ndarray.</span>
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- <spanclass="signature">[`countIf( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/count-if]</span><spanclass="delimiter">: </span><spanclass="description">count the number of elements in an ndarray which pass a test implemented by a predicate function.</span>
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- <spanclass="signature">[`ones( dtype, shape, order )`][@stdlib/ndarray/base/ones]</span><spanclass="delimiter">: </span><spanclass="description">create a ones-filled ndarray having a specified shape and data type.</span>
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- <spanclass="signature">[`order( x )`][@stdlib/ndarray/base/order]</span><spanclass="delimiter">: </span><spanclass="description">return the layout order of a provided ndarray.</span>
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- <spanclass="signature">[`outputDataType( dtypes, policy )`][@stdlib/ndarray/base/output-dtype]</span><spanclass="delimiter">: </span><spanclass="description">resolve the output ndarray data type from a list of input ndarray data types.</span>
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- <spanclass="signature">[`outputOrder( arrays )`][@stdlib/ndarray/base/output-order]</span><spanclass="delimiter">: </span><spanclass="description">resolves the order (i.e. memory layout) of an output ndarray according to a list of input ndarrays.</span>
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- <spanclass="signature">[`outputPolicyEnum2Str( policy )`][@stdlib/ndarray/base/output-policy-enum2str]</span><spanclass="delimiter">: </span><spanclass="description">return the policy string associated with an output ndarray data type policy enumeration constant.</span>
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- <spanclass="signature">[`outputPolicyResolveEnum( policy )`][@stdlib/ndarray/base/output-policy-resolve-enum]</span><spanclass="delimiter">: </span><spanclass="description">return the enumeration constant associated with a supported ndarray data type policy value.</span>
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- <spanclass="signature">[`outputPolicyResolveStr( dtype )`][@stdlib/ndarray/base/output-policy-resolve-str]</span><spanclass="delimiter">: </span><spanclass="description">return the policy string associated with a supported ndarray data type policy value.</span>
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- <spanclass="signature">[`toFlippedud( x )`][@stdlib/ndarray/base/to-flippedud]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where the order of elements along the second-to-last dimension of an input ndarray is reversed.</span>
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- <spanclass="signature">[`toNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-normalized-indices]</span><spanclass="delimiter">: </span><spanclass="description">normalize a list of indices to the interval `[0,max]`.</span>
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- <spanclass="signature">[`toReversedDimension( x, dim )`][@stdlib/ndarray/base/to-reversed-dimension]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where the order of elements of an input ndarray along a specified dimension is reversed.</span>
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- <spanclass="signature">[`toReversedDimensions( x, dims )`][@stdlib/ndarray/base/to-reversed-dimensions]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where the order of elements of an input ndarray along specified dimensions is reversed.</span>
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- <spanclass="signature">[`toReversed( x )`][@stdlib/ndarray/base/to-reversed]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where the order of elements of an input ndarray is reversed along each dimension.</span>
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- <spanclass="signature">[`toRot180( x, dims )`][@stdlib/ndarray/base/to-rot180]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where an ndarray is rotated 180 degrees in a specified plane.</span>
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- <spanclass="signature">[`toRot90( x, dims, k )`][@stdlib/ndarray/base/to-rot90]</span><spanclass="delimiter">: </span><spanclass="description">return a new ndarray where an ndarray is rotated 90 degrees in a specified plane.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/strided/README.md
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- <spanclass="signature">[`dnanmskminabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskminabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum absolute value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanrange( N, x, strideX )`][@stdlib/stats/strided/dnanrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanrangeabs( N, \*X, strideX )`][@stdlib/stats/strided/dnanrangeabs]</span><spanclass="delimiter">: </span><spanclass="description">compute the range of absolute values of a double-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanrangeabs( N, x, strideX )`][@stdlib/stats/strided/dnanrangeabs]</span><spanclass="delimiter">: </span><spanclass="description">compute the range of absolute values of a double-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanstdev( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanstdevch( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevch]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
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- <spanclass="signature">[`dnanstdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass algorithm.</span>
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