docs: apply suggestions from code review

---
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: passed
  - 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: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: headlessNode

lib/node_modules/@stdlib/blas/ext/base/dediff/docs/repl.txt

@@ -1,5 +1,5 @@
 
-{{alias}}( N, x,sX, N1,p,sp, N2,a,sa, out,so )
+{{alias}}( N, x,sx, N1,p,sp, N2,a,sa, out,so )
     Calculates the differences between consecutive elements of a
     double-precision floating-point strided array.
 
@@ -66,7 +66,7 @@
     > p = new {{alias:@stdlib/array/float64}}( [ 1.0 ] );
     > a = new {{alias:@stdlib/array/float64}}( [ 11.0 ] );
     > var out = new {{alias:@stdlib/array/float64}}( 4 );
-    > {{alias}}( 3, 1, x, 2, 1, p, 1, 1, a, 1, out, 1 )
+    > {{alias}}( 3, x, 2, 1, p, 1, 1, a, 1, out, 1 )
     <Float64Array>[ 1.0, 4.0, 4.0, 11.0 ]
 
     // Using view offsets:
@@ -147,15 +147,15 @@
     > var p = new {{alias:@stdlib/array/float64}}( [ 0.0 ] );
     > var a = new {{alias:@stdlib/array/float64}}( [ 3.0 ] );
     > var out = new {{alias:@stdlib/array/float64}}( 4 );
-    > {{alias}}.ndarray( 3, 1, x,1,0, 1, p,1,0, 1, a,1,0, out,1,0 )
-    <Float64Array>[ 1.0, -3.0, 4.0, 3.0 ]
+    > {{alias}}.ndarray( 3, x,1,0, 1, p,1,0, 1, a,1,0, out,1,0 )
+    <Float64Array>[ 0.0, -3.0, 4.0, 3.0 ]
 
     // Advanced indexing:
     > x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
     > p = new {{alias:@stdlib/array/float64}}( [ 0.0 ] );
     > a = new {{alias:@stdlib/array/float64}}( [ 3.0 ] );
     > out = new {{alias:@stdlib/array/float64}}( 3 );
-    > {{alias}}.ndarray( 2, 1, x,1,1, 1, p,1,0, 1, a,1,0, out,1,0 )
+    > {{alias}}.ndarray( 2, x,1,1, 1, p,1,0, 1, a,1,0, out,1,0 )
     <Float64Array>[ 0.0, 4.0, 3.0 ]
 
     See Also