Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-05-12)
+## Unreleased (2025-05-16)
 
 <section class="features">
 
@@ -56,6 +56,7 @@ A total of 2 issues were closed in this release:
 
 <details>
 
+-   [`7c9de34`](https://github.com/stdlib-js/stdlib/commit/7c9de3413dc4e03b57dd1073e29ef5104d276c85) - **docs:** update REPL namespace documentation [(#7006)](https://github.com/stdlib-js/stdlib/pull/7006) _(by stdlib-bot)_
 -   [`c0db872`](https://github.com/stdlib-js/stdlib/commit/c0db8723de95ebc1dc594eac720c4f468c812481) - **docs:** update REPL namespace documentation [(#6986)](https://github.com/stdlib-js/stdlib/pull/6986) _(by stdlib-bot)_
 -   [`57c02a7`](https://github.com/stdlib-js/stdlib/commit/57c02a74ae32cfbad6f251c47100d0a832972c0d) - **docs:** update REPL namespace documentation [(#6967)](https://github.com/stdlib-js/stdlib/pull/6967) _(by stdlib-bot)_
 -   [`62f33b0`](https://github.com/stdlib-js/stdlib/commit/62f33b0b8794545ebe72c03128a23316deab4571) - **docs:** update REPL namespace documentation [(#6960)](https://github.com/stdlib-js/stdlib/pull/6960) _(by stdlib-bot)_

code-blocks/data/data.csv

@@ -1767,8 +1767,8 @@ base.strided.dmeanstdevpn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar
 base.strided.dmeanstdevpn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanstdevpn.ndarray( x.length, 1, x, 1, 0, out, 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 );\nout = new Float64Array( 2 );\nbase.strided.dmeanstdevpn.ndarray( N, 1, x, 2, 1, out, 1, 0 )\n"
 base.strided.dmeanvar,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanvar( x.length, 1, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nout = new Float64Array( 2 );\nvar N = base.floor( x.length / 2 );\nbase.strided.dmeanvar( N, 1, x, 2, out, 1 )\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 );\nout = new Float64Array( 2 );\nbase.strided.dmeanvar( N, 1, x1, 2, out, 1 )\n"
 base.strided.dmeanvar.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanvar.ndarray( x.length, 1, x, 1, 0, out, 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 );\nout = new Float64Array( 2 );\nbase.strided.dmeanvar.ndarray( N, 1, x, 2, 1, out, 1, 0 )\n"
-base.strided.dmeanvarpn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanvarpn( x.length, 1, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nout = new Float64Array( 2 );\nvar N = base.floor( x.length / 2 );\nbase.strided.dmeanvarpn( N, 1, x, 2, out, 1 )\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 );\nout = new Float64Array( 2 );\nbase.strided.dmeanvarpn( N, 1, x1, 2, out, 1 )\n"
-base.strided.dmeanvarpn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanvarpn.ndarray( x.length, 1, x, 1, 0, out, 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 );\nout = new Float64Array( 2 );\nbase.strided.dmeanvarpn.ndarray( N, 1, x, 2, 1, out, 1, 0 )\n"
+base.strided.dmeanvarpn,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanvarpn( x.length, 1, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nout = new Float64Array( 2 );\nbase.strided.dmeanvarpn( 3, 1, x, 2, out, 1 )\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 );\nout = new Float64Array( 2 );\nbase.strided.dmeanvarpn( 3, 1, x1, 2, out, 1 )\n"
+base.strided.dmeanvarpn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dmeanvarpn.ndarray( x.length, 1, x, 1, 0, out, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0 ] );\nout = new Float64Array( 2 );\nbase.strided.dmeanvarpn.ndarray( 3, 1, x, 2, 1, out, 1, 0 )\n"
 base.strided.dmeanwd,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeanwd( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dmeanwd( 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.dmeanwd( 3, x1, 2 )\n"
 base.strided.dmeanwd.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmeanwd.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dmeanwd.ndarray( 3, x, 2, 1 )\n"
 base.strided.dmediansorted,"var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );\nbase.strided.dmediansorted( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dmediansorted( 3, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 3.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dmediansorted( 3, x1, 2 )\n"