docs: update REPL docs

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: kgryte

lib/node_modules/@stdlib/repl/code-blocks/data/data.csv

@@ -1730,8 +1730,8 @@ base.strided.dmap,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar y =
 base.strided.dmap.ndarray,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmap.ndarray( x.length, x, 1, 0, y, 1, 0, base.identity )\nx = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\ny = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmap.ndarray( 2, x, 2, 1, y, -1, y.length-1, base.identity )\n"
 base.strided.dmap2,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar y = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmap2( x.length, x, 1, y, 1, z, 1, base.add )\nz = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmap2( 2, x, 2, y, -1, z, 1, base.add )\nvar x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar y0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar z0 = 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 );\nvar z1 = new Float64Array( z0.buffer, z0.BYTES_PER_ELEMENT*2 );\nbase.strided.dmap2( 2, x1, -2, y1, 1, z1, 1, base.add )\nz0\n"
 base.strided.dmap2.ndarray,"var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar y = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nvar z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmap2.ndarray( x.length, x, 1, 0, y, 1, 0, z, 1, 0, base.add )\nx = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\ny = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );\nz = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nbase.strided.dmap2.ndarray( 2, x, 2, 1, y, -1, y.length-1, z, 1, 1, base.add )\n"
-base.strided.dmax,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmax( x.length, 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.dmax( N, 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.dmax( N, x1, stride )\n"
-base.strided.dmax.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmax.ndarray( x.length, 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.dmax.ndarray( N, x, 2, 1 )\n"
+base.strided.dmax,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmax( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nbase.strided.dmax( 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.dmax( 3, x1, 2 )\n"
+base.strided.dmax.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmax.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dmax.ndarray( 3, x, 2, 1 )\n"
 base.strided.dmaxabs,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmaxabs( x.length, 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.dmaxabs( N, 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.dmaxabs( N, x1, stride )\n"
 base.strided.dmaxabs.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );\nbase.strided.dmaxabs.ndarray( x.length, 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.dmaxabs.ndarray( N, x, 2, 1 )\n"
 base.strided.dmaxabssorted,"var x = new Float64Array( [ -1.0, -2.0, -3.0 ] );\nbase.strided.dmaxabssorted( x.length, 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.dmaxabssorted( N, x, stride )\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 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dmaxabssorted( N, x1, stride )\n"

lib/node_modules/@stdlib/repl/code-blocks/data/data.json

@@ -1730,8 +1730,8 @@ base.strided.dmap,"\nbase.strided.dmap( N:integer, x:Float64Array, strideX:integ
 base.strided.dmap.ndarray,"\nbase.strided.dmap.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer, y:Float64Array, strideY:integer, offsetY:integer, \n  fcn:Function )\n    Applies a unary function to a double-precision floating-point strided input\n    array and assigns results to a double-precision floating-point strided\n    output array using alternative indexing semantics.\n"
 base.strided.dmap2,"\nbase.strided.dmap2( N:integer, x:Float64Array, sx:integer, y:Float64Array, \n  sy:integer, z:Float64Array, sz:integer, fcn:Function )\n    Applies a binary function to double-precision floating-point strided input\n    arrays and assigns results to a double-precision floating-point strided\n    output array.\n"
 base.strided.dmap2.ndarray,"\nbase.strided.dmap2.ndarray( N:integer, x:Float64Array, sx:integer, ox:integer, \n  y:Float64Array, sy:integer, oy:integer, z:Float64Array, sz:integer, \n  oz:integer, fcn:Function )\n    Applies a unary function to each element retrieved from a strided input\n    array according to a callback function and assigns results to a strided\n    output array using alternative indexing semantics.\n"
-base.strided.dmax,"\nbase.strided.dmax( N:integer, x:Float64Array, stride:integer )\n    Computes the maximum value of a double-precision floating-point strided\n    array.\n"
-base.strided.dmax.ndarray,"\nbase.strided.dmax.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the maximum value of a double-precision floating-point strided\n    array using alternative indexing semantics.\n"
+base.strided.dmax,"\nbase.strided.dmax( N:integer, x:Float64Array, strideX:integer )\n    Computes the maximum value of a double-precision floating-point strided\n    array.\n"
+base.strided.dmax.ndarray,"\nbase.strided.dmax.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the maximum value of a double-precision floating-point strided\n    array using alternative indexing semantics.\n"
 base.strided.dmaxabs,"\nbase.strided.dmaxabs( N:integer, x:Float64Array, stride:integer )\n    Computes the maximum absolute value of a double-precision floating-point\n    strided array.\n"
 base.strided.dmaxabs.ndarray,"\nbase.strided.dmaxabs.ndarray( N:integer, x:Float64Array, stride:integer, \n  offset:integer )\n    Computes the maximum absolute value of a double-precision floating-point\n    strided array using alternative indexing semantics.\n"
 base.strided.dmaxabssorted,"\nbase.strided.dmaxabssorted( N:integer, x:Float64Array, stride:integer )\n    Computes the maximum absolute value of a sorted double-precision floating-\n    point strided array.\n"

lib/node_modules/@stdlib/repl/help/data/data.csv

@@ -1731,8 +1731,8 @@ base.strided.dmap,"base.strided.dmap( N, x, strideX, y, strideY, fcn )"
 base.strided.dmap.ndarray,"base.strided.dmap.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, fcn )"
 base.strided.dmap2,"base.strided.dmap2( N, x, sx, y, sy, z, sz, fcn )"
 base.strided.dmap2.ndarray,"base.strided.dmap2.ndarray( N, x, sx, ox, y, sy, oy, z, sz, oz, fcn )"
-base.strided.dmax,"base.strided.dmax( N, x, stride )"
-base.strided.dmax.ndarray,"base.strided.dmax.ndarray( N, x, stride, offset )"
+base.strided.dmax,"base.strided.dmax( N, x, strideX )"
+base.strided.dmax.ndarray,"base.strided.dmax.ndarray( N, x, strideX, offsetX )"
 base.strided.dmaxabs,"base.strided.dmaxabs( N, x, stride )"
 base.strided.dmaxabs.ndarray,"base.strided.dmaxabs.ndarray( N, x, stride, offset )"
 base.strided.dmaxabssorted,"base.strided.dmaxabssorted( N, x, stride )"

lib/node_modules/@stdlib/repl/help/data/data.json

@@ -1731,8 +1731,8 @@ base.strided.dmap,"base.strided.dmap( N:integer, x:Float64Array, strideX:integer
 base.strided.dmap.ndarray,"base.strided.dmap.ndarray( N:integer, x:Float64Array, strideX:integer, offsetX:integer, y:Float64Array, strideY:integer, offsetY:integer, fcn:Function )"
 base.strided.dmap2,"base.strided.dmap2( N:integer, x:Float64Array, sx:integer, y:Float64Array, sy:integer, z:Float64Array, sz:integer, fcn:Function )"
 base.strided.dmap2.ndarray,"base.strided.dmap2.ndarray( N:integer, x:Float64Array, sx:integer, ox:integer, y:Float64Array, sy:integer, oy:integer, z:Float64Array, sz:integer, oz:integer, fcn:Function )"
-base.strided.dmax,"base.strided.dmax( N:integer, x:Float64Array, stride:integer )"
-base.strided.dmax.ndarray,"base.strided.dmax.ndarray( N:integer, x:Float64Array, stride:integer, offset:integer )"
+base.strided.dmax,"base.strided.dmax( N:integer, x:Float64Array, strideX:integer )"
+base.strided.dmax.ndarray,"base.strided.dmax.ndarray( N:integer, x:Float64Array, strideX:integer, offsetX:integer )"
 base.strided.dmaxabs,"base.strided.dmaxabs( N:integer, x:Float64Array, stride:integer )"
 base.strided.dmaxabs.ndarray,"base.strided.dmaxabs.ndarray( N:integer, x:Float64Array, stride:integer, offset:integer )"
 base.strided.dmaxabssorted,"base.strided.dmaxabssorted( N:integer, x:Float64Array, stride:integer )"