docs: add repl.txt

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Author: aayush0325

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

@@ -0,0 +1,134 @@
+
+{{alias}}( order, job, N, A, LDA, out, scale )
+    Balances a general real matrix `A`.
+
+    The matrix `A` is overwritten by the balanced matrix. Scale factors are
+    stored in the `scale` array. Where the indices `0` to `out[ 0 ] - 1` and
+    `out[ 1 ] + 1` to `N-1` contain the index of the interchanged row/column
+    (zero based), and the indices `out[ 0 ]` to `out[ 1 ]` contains the
+    scaling factor applied.
+
+    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'.
+
+    job: string
+        Indicates the operations to be performed. The `job` parameter can be
+        one of the following. 'none' (do nothing), 'permute' (permute only),
+        'scale' (scale only) and 'both' (both permute and scale).
+
+    N: integer
+        Number of row/columns in `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    LDA: integer
+        Stride of the first dimension of `A` (a.k.a., leading dimension of the
+        matrix `A`).
+
+    out: Int32Array
+        Output matrix `out`.
+
+    scale: Float64Array
+        Array containing permutation and scaling information.
+
+    Returns
+    -------
+    info: integer
+        Status code.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var out = new {{alias:@stdlib/array/int32}}( 2 );
+    > var scale = new {{alias:@stdlib/array/float64}}( 2 );
+    > {{alias}}( 'row-major', 'both', 2, A, 2, out, scale )
+    0
+    > A
+    <Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
+    > out
+    <Int32Array>[ 0, 1 ]
+    > scale
+    <Float64Array>[ 1.0, 1.0 ]
+
+
+{{alias}}.ndarray( job, N, A, sa1, sa2, oa, out, so, oo, scale, ss, os )
+    Balances a general real matrix `A` using alternative indexing semantics.
+
+    The matrix `A` is overwritten by the balanced matrix. Scale factors are
+    stored in the `scale` array. Where the indices `0` to `out[ 0 ] - 1` and
+    `out[ 1 ] + 1` to `N-1` contain the index of the interchanged row/column
+    (zero based), and the indices `out[ 0 ]` to `out[ 1 ]` contains the
+    scaling factor applied.
+
+    While typed array views mandate a view offset based on the underlying
+    buffer, the offset parameters support indexing semantics based on starting
+    indices.
+
+    Parameters
+    ----------
+    job: string
+        Indicates the operations to be performed. The `job` parameter can be
+        one of the following. 'none' (do nothing), 'permute' (permute only),
+        'scale' (scale only) and 'both' (both permute and scale).
+
+    N: integer
+        Number of row/columns in `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: integer
+        Starting index for `A`.
+
+    out: Int32Array
+        Output matrix `out`.
+
+    so: integer
+        Stride length of `out`.
+
+    oo: integer
+        Starting index of `out`.
+
+    scale: Float64Array
+        Array containing permutation and scaling information.
+
+    ss: integer
+        Stride length for `scale`.
+
+    os: integer
+        Starting index for `scale`.
+
+    Returns
+    -------
+    info: integer
+        Status code.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var out = new {{alias:@stdlib/array/int32}}( 2 );
+    > var scale = new {{alias:@stdlib/array/float64}}( 2 );
+    > {{alias}}.ndarray( 'both', 2, A, 2, 1, 0, out, 1, 0, scale, 1, 0 )
+    0
+    > A
+    <Float64Array>[ 1.0, 2.0, 3.0, 4.0 ]
+    > out
+    <Int32Array>[ 0, 1 ]
+    > scale
+    <Float64Array>[ 1.0, 1.0 ]
+
+    See Also
+    --------