docs: add repl.txt

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

Author: aayush0325

lib/node_modules/@stdlib/lapack/base/dlascl/docs/repl.txt

@@ -0,0 +1,112 @@
+{{alias}}( order, type, KL, KU, CFROM, CTO, M, N, A, LDA )
+    Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
+
+    Indexing is relative to the first index. To introduce an offset, use
+    typed array views.
+
+    Parameters
+    ----------
+    order: string
+        Row-major (C-style) or column-major (Fortran-style) order. Must be
+        either 'row-major' or 'column-major'.
+
+    type: string
+        Specifies the type of matrix `A`.
+
+    KL: nonNegativeInteger
+        Lower band width of `A`. Referenced only if type is
+        `symmetric-banded-lower` or `banded`.
+
+    KU: nonNegativeInteger
+        Upper band width of `A`. Referenced only if type is
+        `symmetric-banded-upper` or `banded`.
+
+    CFROM: number
+        The matrix `A` are multiplied by `CTO / CFROM`.
+
+    CTO: number
+        The matrix `A` are multiplied by `CTO / CFROM`.
+
+    M: nonNegativeInteger
+        Number of rows in matrix `A`.
+
+    N: nonNegativeInteger
+        Number of columns in matrix `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    LDA: positiveInteger
+        Stride of the first dimension of `A` (a.k.a., leading dimension of
+        the matrix `A`).
+
+    Returns
+    -------
+    A: Float64Array
+        Scaled matrix `A`.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+    > {{alias}}( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 )
+    <Float64Array>[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+
+
+{{alias}}.ndarray( type, KL, KU, CFROM, CTO, M, N, A, sa1, sa2, oa )
+    Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM` using
+    alternative indexing semantics.
+
+    While typed array views mandate a view offset based on the underlying
+    buffer, the offset parameters support indexing semantics based on starting
+    indices.
+
+    Parameters
+    ----------
+    type: string
+        Specifies the type of matrix `A`.
+
+    KL: nonNegativeInteger
+        Lower band width of `A`. Referenced only if type is
+        `symmetric-banded-lower` or `banded`.
+
+    KU: nonNegativeInteger
+        Upper band width of `A`. Referenced only if type is
+        `symmetric-banded-upper` or `banded`.
+
+    CFROM: number
+        The matrix `A` are multiplied by `CTO / CFROM`.
+
+    CTO: number
+        The matrix `A` are multiplied by `CTO / CFROM`.
+
+    M: nonNegativeInteger
+        Number of rows in matrix `A`.
+
+    N: nonNegativeInteger
+        Number of columns in matrix `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    sa1: integer
+        Stride of the first dimension of `A`.
+
+    sa2: integer
+        Stride of the second dimension of `A`.
+
+    oa: nonNegativeInteger
+        Starting index for `A`.
+
+    Returns
+    -------
+    A: Float64Array
+        Scaled matrix `A`.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+    > {{alias}}.ndarray( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 )
+    <Float64Array>[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
+
+    See Also
+    --------