docs: update REPL namespace documentation

PR-URL: #5386

Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/namespace/alias2pkg/data/data.json

@@ -245,7 +245,7 @@ base.deg2radf,"@stdlib/math-base-special-deg2radf"
 base.digamma,"@stdlib/math-base-special-digamma"
 base.diracDelta,"@stdlib/math-base-special-dirac-delta"
 base.div,"@stdlib/number-float64-base-div"
-base.divf,"@stdlib/math-base-ops-divf"
+base.divf,"@stdlib/number-float32-base-div"
 base.dotcase,"@stdlib/string-base-dotcase"
 base.dists.arcsine.Arcsine,"@stdlib/stats-base-dists-arcsine-ctor"
 base.dists.arcsine.cdf,"@stdlib/stats-base-dists-arcsine-cdf"
@@ -1096,7 +1096,7 @@ base.strided.dnanasum,"@stdlib/blas-ext-base-dnanasum"
 base.strided.dnanasumors,"@stdlib/blas-ext-base-dnanasumors"
 base.strided.dnanmax,"@stdlib/stats-strided-dnanmax"
 base.strided.dnanmaxabs,"@stdlib/stats-strided-dnanmaxabs"
-base.strided.dnanmean,"@stdlib/stats-base-dnanmean"
+base.strided.dnanmean,"@stdlib/stats-strided-dnanmean"
 base.strided.dnanmeanors,"@stdlib/stats-base-dnanmeanors"
 base.strided.dnanmeanpn,"@stdlib/stats-base-dnanmeanpn"
 base.strided.dnanmeanpw,"@stdlib/stats-base-dnanmeanpw"

lib/node_modules/@stdlib/namespace/alias2standalone/data/data.csv

@@ -245,7 +245,7 @@
 "@stdlib/math/base/special/digamma","@stdlib/math-base-special-digamma"
 "@stdlib/math/base/special/dirac-delta","@stdlib/math-base-special-dirac-delta"
 "@stdlib/number/float64/base/div","@stdlib/number-float64-base-div"
-"@stdlib/number/float32/base/div","@stdlib/math-base-ops-divf"
+"@stdlib/number/float32/base/div","@stdlib/number-float32-base-div"
 "@stdlib/string/base/dotcase","@stdlib/string-base-dotcase"
 "@stdlib/stats/base/dists/arcsine/ctor","@stdlib/stats-base-dists-arcsine-ctor"
 "@stdlib/stats/base/dists/arcsine/cdf","@stdlib/stats-base-dists-arcsine-cdf"
@@ -1096,7 +1096,7 @@
 "@stdlib/blas/ext/base/dnanasumors","@stdlib/blas-ext-base-dnanasumors"
 "@stdlib/stats/strided/dnanmax","@stdlib/stats-strided-dnanmax"
 "@stdlib/stats/strided/dnanmaxabs","@stdlib/stats-strided-dnanmaxabs"
-"@stdlib/stats/strided/dnanmean","@stdlib/stats-base-dnanmean"
+"@stdlib/stats/strided/dnanmean","@stdlib/stats-strided-dnanmean"
 "@stdlib/stats/base/dnanmeanors","@stdlib/stats-base-dnanmeanors"
 "@stdlib/stats/base/dnanmeanpn","@stdlib/stats-base-dnanmeanpn"
 "@stdlib/stats/base/dnanmeanpw","@stdlib/stats-base-dnanmeanpw"

lib/node_modules/@stdlib/namespace/alias2standalone/data/data.json

@@ -245,7 +245,7 @@
 "@stdlib/math-base-special-digamma","@stdlib/math/base/special/digamma"
 "@stdlib/math-base-special-dirac-delta","@stdlib/math/base/special/dirac-delta"
 "@stdlib/number-float64-base-div","@stdlib/number/float64/base/div"
-"@stdlib/math-base-ops-divf","@stdlib/number/float32/base/div"
+"@stdlib/number-float32-base-div","@stdlib/number/float32/base/div"
 "@stdlib/string-base-dotcase","@stdlib/string/base/dotcase"
 "@stdlib/stats-base-dists-arcsine-ctor","@stdlib/stats/base/dists/arcsine/ctor"
 "@stdlib/stats-base-dists-arcsine-cdf","@stdlib/stats/base/dists/arcsine/cdf"
@@ -1096,7 +1096,7 @@
 "@stdlib/blas-ext-base-dnanasumors","@stdlib/blas/ext/base/dnanasumors"
 "@stdlib/stats-strided-dnanmax","@stdlib/stats/strided/dnanmax"
 "@stdlib/stats-strided-dnanmaxabs","@stdlib/stats/strided/dnanmaxabs"
-"@stdlib/stats-base-dnanmean","@stdlib/stats/strided/dnanmean"
+"@stdlib/stats-strided-dnanmean","@stdlib/stats/strided/dnanmean"
 "@stdlib/stats-base-dnanmeanors","@stdlib/stats/base/dnanmeanors"
 "@stdlib/stats-base-dnanmeanpn","@stdlib/stats/base/dnanmeanpn"
 "@stdlib/stats-base-dnanmeanpw","@stdlib/stats/base/dnanmeanpw"

lib/node_modules/@stdlib/namespace/pkg2alias/data/data.json

@@ -1878,14 +1878,14 @@ base.strided.dnanvariance,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\
 base.strided.dnanvariance.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariance.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanvariance.ndarray( N, 1, x, 2, 1 )\n"
 base.strided.dnanvariancech,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancech( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnanvariancech( N, 1, 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.dnanvariancech( N, 1, x1, stride )\n"
 base.strided.dnanvariancech.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancech.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanvariancech.ndarray( N, 1, x, 2, 1 )\n"
-base.strided.dnanvariancepn,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancepn( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnanvariancepn( N, 1, 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.dnanvariancepn( N, 1, x1, stride )\n"
-base.strided.dnanvariancepn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancepn.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanvariancepn.ndarray( N, 1, x, 2, 1 )\n"
+base.strided.dnanvariancepn,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancepn( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvariancepn( 4, 1, 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.dnanvariancepn( 4, 1, x1, 2 )\n"
+base.strided.dnanvariancepn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancepn.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvariancepn.ndarray( 4, 1, x, 2, 1 )\n"
 base.strided.dnanvariancetk,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancetk( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvariancetk( 4, 1, 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.dnanvariancetk( 4, 1, x1, 2 )\n"
 base.strided.dnanvariancetk.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancetk.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvariancetk.ndarray( 4, 1, x, 2, 1 )\n"
-base.strided.dnanvariancewd,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancewd( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnanvariancewd( N, 1, 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.dnanvariancewd( N, 1, x1, stride )\n"
-base.strided.dnanvariancewd.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancewd.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanvariancewd.ndarray( N, 1, x, 2, 1 )\n"
-base.strided.dnanvarianceyc,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvarianceyc( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnanvarianceyc( N, 1, 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.dnanvarianceyc( N, 1, x1, stride )\n"
-base.strided.dnanvarianceyc.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvarianceyc.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanvarianceyc.ndarray( N, 1, x, 2, 1 )\n"
+base.strided.dnanvariancewd,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancewd( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvariancewd( 4, 1, 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.dnanvariancewd( 4, 1, x1, 2 )\n"
+base.strided.dnanvariancewd.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancewd.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvariancewd.ndarray( 4, 1, x, 2, 1 )\n"
+base.strided.dnanvarianceyc,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dnanvarianceyc( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvarianceyc( 4, 1, 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.dnanvarianceyc( 4, 1, x1, 2 )\n"
+base.strided.dnanvarianceyc.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvarianceyc.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnanvarianceyc.ndarray( 4, 1, x, 2, 1 )\n"
 base.strided.dnrm2,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dnrm2( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dnrm2( 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.dnrm2( 3, x1, 2 )\n"
 base.strided.dnrm2.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dnrm2.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dnrm2.ndarray( 3, x, 2, 1 )\n"
 base.strided.dramp,"var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dramp( x.length, x, 1, y, 1 )\nvar N = base.floor( x.length / 2 );\ny = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dramp( N, x, 2, y, -1 )\nvar x0 = new Float64Array( [ 1.1, 2.5, -3.5, 4.0 ] );\nvar y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 );\nN = base.floor( x0.length / 2 );\nbase.strided.dramp( N, x1, -2, y1, 1 )\ny0\n"