docs: update REPL namespace documentation

PR-URL: #5244
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

Diff for: lib/node_modules/@stdlib/namespace/alias2standalone/data/data.csv

@@ -94,7 +94,7 @@ base.acsch,"@stdlib/math-base-special-acsch"
 base.add,"@stdlib/number-float64-base-add"
 base.add3,"@stdlib/number-float64-base-add3"
 base.add4,"@stdlib/number-float64-base-add4"
-base.add5,"@stdlib/math-base-ops-add5"
+base.add5,"@stdlib/number-float64-base-add5"
 base.addf,"@stdlib/math-base-ops-addf"
 base.afilled,"@stdlib/array-base-filled"
 base.afilled2d,"@stdlib/array-base-filled2d"

Diff for: lib/node_modules/@stdlib/namespace/alias2standalone/data/data.json

@@ -94,7 +94,7 @@
 "@stdlib/number/float64/base/add","@stdlib/number-float64-base-add"
 "@stdlib/number/float64/base/add3","@stdlib/number-float64-base-add3"
 "@stdlib/number/float64/base/add4","@stdlib/number-float64-base-add4"
-"@stdlib/number/float64/base/add5","@stdlib/math-base-ops-add5"
+"@stdlib/number/float64/base/add5","@stdlib/number-float64-base-add5"
 "@stdlib/math/base/ops/addf","@stdlib/math-base-ops-addf"
 "@stdlib/array/base/filled","@stdlib/array-base-filled"
 "@stdlib/array/base/filled2d","@stdlib/array-base-filled2d"

Diff for: lib/node_modules/@stdlib/namespace/pkg2standalone/data/data.csv

@@ -94,7 +94,7 @@
 "@stdlib/number-float64-base-add","@stdlib/number/float64/base/add"
 "@stdlib/number-float64-base-add3","@stdlib/number/float64/base/add3"
 "@stdlib/number-float64-base-add4","@stdlib/number/float64/base/add4"
-"@stdlib/math-base-ops-add5","@stdlib/number/float64/base/add5"
+"@stdlib/number-float64-base-add5","@stdlib/number/float64/base/add5"
 "@stdlib/math-base-ops-addf","@stdlib/math/base/ops/addf"
 "@stdlib/array-base-filled","@stdlib/array/base/filled"
 "@stdlib/array-base-filled2d","@stdlib/array/base/filled2d"

Diff for: lib/node_modules/@stdlib/namespace/pkg2standalone/data/data.json

@@ -1812,8 +1812,8 @@ base.strided.dmsktrunc,"var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0 ] );\nva
 base.strided.dmsktrunc.ndarray,"var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0 ] );\nvar m = new Uint8Array( [ 0, 0, 1, 0 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmsktrunc.ndarray( x.length, x, 1, 0, m, 1, 0, y, 1, 0 )\nx = new Float64Array( [ 1.1, 2.5, -3.5, 4.0 ] );\nm = new Uint8Array( [ 0, 0, 1, 0 ] );\ny = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmsktrunc.ndarray( 2, x, 2, 1, m, 2, 1, y, -1, y.length-1 )\n"
 base.strided.dnanasum,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanasum( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanasum( 4, x, 2 )\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 );\nbase.strided.dnanasum( 4, x1, 2 )\n"
 base.strided.dnanasum.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanasum.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanasum.ndarray( 4, x, 2, 1 )\n"
-base.strided.dnanasumors,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanasumors( x.length, x, 1 )\nx = new Float64Array( [ -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.dnanasumors( 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.dnanasumors( N, x1, stride )\n"
-base.strided.dnanasumors.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanasumors.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanasumors.ndarray( N, x, 2, 1 )\n"
+base.strided.dnanasumors,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanasumors( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanasumors( 4, x, 2 )\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 );\nbase.strided.dnanasumors( 4, x1, 2 )\n"
+base.strided.dnanasumors.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanasumors.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanasumors.ndarray( 4, x, 2, 1 )\n"
 base.strided.dnanmax,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanmax( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );\nbase.strided.dnanmax( 3, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dnanmax( 3, x1, 2 )\n"
 base.strided.dnanmax.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0, NaN ] );\nbase.strided.dnanmax.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );\nbase.strided.dnanmax.ndarray( 3, x, 2, 1 )\n"
 base.strided.dnanmaxabs,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanmaxabs( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );\nbase.strided.dnanmaxabs( 3, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dnanmaxabs( 3, x1, 2 )\n"

Diff for: lib/node_modules/@stdlib/namespace/standalone2pkg/data/data.csv

@@ -1724,8 +1724,8 @@ base.strided.ddeg2rad,"\nbase.strided.ddeg2rad( N:integer, x:Float64Array, strid
 base.strided.ddeg2rad.ndarray,"\nbase.strided.ddeg2rad.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer, y:Float64Array, strideY:integer, offsetY:integer )\n    Converts each element in a double-precision floating-point strided array `x`\n    from degrees to radians and assigns the results to elements in a double-\n    precision floating-point strided array `y` using alternative indexing\n    semantics.\n"
 base.strided.ddot,"\nbase.strided.ddot( N:integer, x:Float64Array, strideX:integer, y:Float64Array, \n  strideY:integer )\n    Computes the dot product of two double-precision floating-point vectors.\n"
 base.strided.ddot.ndarray,"\nbase.strided.ddot.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer, y:Float64Array, strideY:integer, offsetY:integer )\n    Computes the dot product of two double-precision floating-point vectors\n    using alternative indexing semantics.\n"
-base.strided.dfill,"\nbase.strided.dfill( N:integer, alpha:number, x:Float64Array, strideX:integer )\n    Fills a double-precision floating-point strided array with a specified\n    scalar value.\n"
-base.strided.dfill.ndarray,"\nbase.strided.dfill.ndarray( N:integer, alpha:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Fills a double-precision floating-point strided array with a specified\n    scalar value using alternative indexing semantics.\n"
+base.strided.dfill,"\nbase.strided.dfill( N:integer, alpha:number, x:Float64Array, strideX:integer )\n    Fills a double-precision floating-point strided array with a specified\n    scalar constant.\n"
+base.strided.dfill.ndarray,"\nbase.strided.dfill.ndarray( N:integer, alpha:number, x:Float64Array, \n  strideX:integer, offsetX:integer )\n    Fills a double-precision floating-point strided array with a specified\n    scalar constant using alternative indexing semantics.\n"
 base.strided.dfloor,"\nbase.strided.dfloor( N:integer, x:Float64Array, strideX:integer, \n  y:Float64Array, strideY:integer )\n    Rounds each element in a double-precision floating-point strided array `x`\n    toward negative infinity and assigns the results to elements in a double-\n    precision floating-point strided array `y`.\n"
 base.strided.dfloor.ndarray,"\nbase.strided.dfloor.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer, y:Float64Array, strideY:integer, offsetY:integer )\n    Rounds each element in a double-precision floating-point strided array `x`\n    toward negative infinity and assigns the results to elements in a double-\n    precision floating-point strided array `y` using alternative indexing\n    semantics.\n"
 base.strided.dinv,"\nbase.strided.dinv( N:integer, x:Float64Array, strideX:integer, y:Float64Array, \n  strideY:integer )\n    Computes the multiplicative inverse for each element in a double-precision\n    floating-point strided array `x` and assigns the results to elements in a\n    double-precision floating-point strided array `y`.\n"