Auto-generated commit

Author: stdlib-bot

.editorconfig

@@ -165,6 +165,15 @@ indent_style = tab
 indent_style = space
 indent_size = 2
 
+# Ignore generated lock files for GitHub Agentic Workflows:
+[*.lock.yml]
+charset = unset
+end_of_line = unset
+indent_style = unset
+indent_size = unset
+trim_trailing_whitespace = unset
+insert_final_newline = unset
+
 # Set properties for GYP files:
 [binding.gyp]
 indent_style = space

.gitattributes

@@ -64,3 +64,5 @@ Makefile linguist-vendored
 
 # Configure files which should be included in GitHub language statistics:
 docs/types/*.d.ts -linguist-documentation
+
+.github/workflows/*.lock.yml linguist-generated=true merge=ours

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2026-03-07)
+## Unreleased (2026-03-25)
 
 <section class="features">
 
@@ -59,6 +59,7 @@ A total of 8 issues were closed in this release:
 
 <details>
 
+-   [`434a969`](https://github.com/stdlib-js/stdlib/commit/434a9699db3005d4df31d109294050a7a94bcf41) - **docs:** update REPL namespace documentation [(#11130)](https://github.com/stdlib-js/stdlib/pull/11130) _(by stdlib-bot)_
 -   [`2f99e5a`](https://github.com/stdlib-js/stdlib/commit/2f99e5a12b166b59165a03a46e25a8ddbf344842) - **docs:** update REPL namespace documentation [(#10794)](https://github.com/stdlib-js/stdlib/pull/10794) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`e7595f6`](https://github.com/stdlib-js/stdlib/commit/e7595f6d07cc824c82a762abe3dc49fda726ed83) - **docs:** update REPL namespace documentation [(#10666)](https://github.com/stdlib-js/stdlib/pull/10666) _(by stdlib-bot)_
 -   [`afc394d`](https://github.com/stdlib-js/stdlib/commit/afc394d4872cb71e63ab6f67402ddb7de3fd697f) - **docs:** update REPL namespace documentation [(#10585)](https://github.com/stdlib-js/stdlib/pull/10585) _(by stdlib-bot, Philipp Burckhardt)_

code-blocks/data/data.csv

@@ -1156,8 +1156,8 @@ base.ndarray.prototype.toLocaleString,"var b = [ 1, 2, 3, 4 ];\nvar d = [ 2, 2 ]
 base.ndarray.prototype.toString,"var b = [ 1, 2, 3, 4 ];\nvar d = [ 2, 2 ];\nvar s = [ 2, 1 ];\nvar o = 0;\nvar arr = base.ndarray( 'generic', b, d, s, o, 'row-major' );\narr.toString()\n"
 base.ndarray.prototype.toJSON,"var b = [ 1, 2, 3, 4 ];\nvar d = [ 2, 2 ];\nvar s = [ 2, 1 ];\nvar o = 0;\nvar arr = base.ndarray( 'generic', b, d, s, o, 'row-major' );\narr.toJSON()\n"
 base.ndarrayUnary,"var xbuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0 ] );\nvar ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nvar dtype = 'float64';\nvar shape = [ 2, 2 ];\nvar sx = [ 2, 1 ];\nvar sy = [ 2, 1 ];\nvar ox = 0;\nvar oy = 0;\nvar order = 'row-major';\nvar x = ndarray( dtype, xbuf, shape, sx, ox, order );\nvar y = ndarray( dtype, ybuf, shape, sy, oy, order );\nbase.ndarrayUnary( [ x, y ], base.abs );\ny.data\nx = {\n 'dtype': dtype,\n 'data': xbuf,\n 'shape': shape,\n 'strides': sx,\n 'offset': ox,\n 'order': order\n };\ny = {\n 'dtype': dtype,\n 'data': ybuf,\n 'shape': shape,\n 'strides': sy,\n 'offset': oy,\n 'order': order\n };\nbase.ndarrayUnary( [ x, y ], base.abs );\ny.data\n"
-base.ndzeros,"var arr = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\nvar sh = arr.shape\nvar dt = arr.dtype\n"
-base.ndzerosLike,"var x = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\nvar sh = x.shape\nvar dt = x.dtype\nvar y = base.ndzerosLike( x )\nsh = y.shape\ndt = y.dtype\n"
+base.ndzeros,"var arr = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\n"
+base.ndzerosLike,"var x = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\nvar y = base.ndzerosLike( x )\n"
 base.negafibonacci,"var y = base.negafibonacci( 0 )\ny = base.negafibonacci( -1 )\ny = base.negafibonacci( -2 )\ny = base.negafibonacci( -3 )\ny = base.negafibonacci( -4 )\ny = base.negafibonacci( -79 )\ny = base.negafibonacci( -80 )\ny = base.negafibonacci( NaN )\n"
 base.negalucas,"var y = base.negalucas( 0 )\ny = base.negalucas( -1 )\ny = base.negalucas( -2 )\ny = base.negalucas( -3 )\ny = base.negalucas( -4 )\ny = base.negalucas( -77 )\ny = base.negalucas( -78 )\ny = base.negalucas( NaN )\n"
 base.nonfibonacci,"var v = base.nonfibonacci( 1 )\nv = base.nonfibonacci( 2 )\nv = base.nonfibonacci( 3 )\nv = base.nonfibonacci( NaN )\n"
@@ -4244,8 +4244,8 @@ ndsliceDimensionFrom,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\nx.shape\nvar y =
 ndsliceDimensionTo,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\nx.shape\nvar y = ndsliceDimensionTo( x, 1, 1 )\ny.shape\nndarray2array( y )\n"
 ndsliceFrom,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\nx.shape\nvar y = ndsliceFrom( x, 0, 1 )\ny.shape\nndarray2array( y )\n"
 ndsliceTo,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\nx.shape\nvar y = ndsliceTo( x, 1, 1 )\ny.shape\nndarray2array( y )\n"
-ndzeros,"var arr = ndzeros( [ 2, 2 ] )\nvar sh = arr.shape\nvar dt = arr.dtype\n"
-ndzerosLike,"var x = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\nvar sh = x.shape\nvar dt = x.dtype\nvar y = ndzerosLike( x )\nsh = y.shape\ndt = y.dtype\n"
+ndzeros,"var arr = ndzeros( [ 2, 2 ] )\n"
+ndzerosLike,"var x = ndzeros( [ 2, 2 ] )\nvar y = ndzerosLike( x )\n"
 nextGraphemeClusterBreak,"var out = nextGraphemeClusterBreak( 'last man standing', 4 )\nout = nextGraphemeClusterBreak( 'presidential election', 8 )\nout = nextGraphemeClusterBreak( 'अनुच्छेद', 1 )\nout = nextGraphemeClusterBreak( '🌷' )\n"
 nextTick,"function f() { console.log( 'beep' ); };\nnextTick( f )\n"
 NIGHTINGALES_ROSE,"var data = NIGHTINGALES_ROSE()\n"

code-blocks/data/data.json

@@ -1156,7 +1156,7 @@ base.ndarray.prototype.toLocaleString,"\nbase.ndarray.prototype.toLocaleString(
 base.ndarray.prototype.toString,"\nbase.ndarray.prototype.toString()\n    Serializes an ndarray as a string.\n"
 base.ndarray.prototype.toJSON,"\nbase.ndarray.prototype.toJSON()\n    Serializes an ndarray as a JSON object.\n"
 base.ndarrayUnary,"\nbase.ndarrayUnary( arrays:ArrayLikeObject<ndarray>, fcn:Function )\n    Applies a unary callback to elements in an input ndarray and assigns results\n    to elements in an output ndarray.\n"
-base.ndzeros,"\nbase.ndzeros( dtype:string, shape:ArrayLikeObject<integer>, order:string )\n    Returns a zero-filled ndarray having a specified shape and data type.\n"
+base.ndzeros,"\nbase.ndzeros( dtype:string|DataType, shape:ArrayLikeObject<integer>, \n  order:string )\n    Returns a zero-filled ndarray having a specified shape and data type.\n"
 base.ndzerosLike,"\nbase.ndzerosLike( x:ndarray )\n    Returns a zero-filled ndarray having the same shape and data type as a\n    provided input ndarray.\n"
 base.negafibonacci,"\nbase.negafibonacci( n:integer )\n    Computes the nth negaFibonacci number.\n"
 base.negalucas,"\nbase.negalucas( n:integer )\n    Computes the nth negaLucas number.\n"

help/data/data.csv

@@ -1156,7 +1156,7 @@ base.ndarray.prototype.toLocaleString,"base.ndarray.prototype.toLocaleString( [l
 base.ndarray.prototype.toString,"base.ndarray.prototype.toString()"
 base.ndarray.prototype.toJSON,"base.ndarray.prototype.toJSON()"
 base.ndarrayUnary,"base.ndarrayUnary( arrays:ArrayLikeObject<ndarray>, fcn:Function )"
-base.ndzeros,"base.ndzeros( dtype:string, shape:ArrayLikeObject<integer>, order:string )"
+base.ndzeros,"base.ndzeros( dtype:string|DataType, shape:ArrayLikeObject<integer>, order:string )"
 base.ndzerosLike,"base.ndzerosLike( x:ndarray )"
 base.negafibonacci,"base.negafibonacci( n:integer )"
 base.negalucas,"base.negalucas( n:integer )"