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Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-09-09)
+## Unreleased (2025-09-13)
 
 <section class="features">
 
@@ -41,6 +41,7 @@
 
 <details>
 
+-   [`bea5b86`](https://github.com/stdlib-js/stdlib/commit/bea5b867c7905e4fb8f1648e8fe8acc436f55e14) - **docs:** update REPL namespace documentation [(#8064)](https://github.com/stdlib-js/stdlib/pull/8064) _(by stdlib-bot)_
 -   [`187b71d`](https://github.com/stdlib-js/stdlib/commit/187b71d88b6b7f55cb1b44d32a6c6077e14caee1) - **docs:** update REPL namespace documentation [(#8044)](https://github.com/stdlib-js/stdlib/pull/8044) _(by stdlib-bot)_
 -   [`fe269e2`](https://github.com/stdlib-js/stdlib/commit/fe269e2a7c2ae9bff3868d4c8a7fce1cb64e2a88) - **docs:** update REPL namespace documentation [(#8040)](https://github.com/stdlib-js/stdlib/pull/8040) _(by stdlib-bot)_
 -   [`ca26c53`](https://github.com/stdlib-js/stdlib/commit/ca26c53f8ecdd292c1addd920a11210dc5af7d9d) - **docs:** update REPL namespace documentation [(#7891)](https://github.com/stdlib-js/stdlib/pull/7891) _(by stdlib-bot)_

CONTRIBUTORS

@@ -181,6 +181,7 @@ Saurabh Singh <saurabhsraghuvanshi@gmail.com>
 Seyyed Parsa Neshaei <spneshaei@users.noreply.github.com>
 Shabareesh Shetty <139731143+ShabiShett07@users.noreply.github.com>
 Shashank Shekhar Singh <shashankshekharsingh1205@gmail.com>
+Shaswata Panda <106397517+shaswata-26@users.noreply.github.com>
 Shivam Ahir <11shivam00@gmail.com>
 Shivansh <114570926+shiv343@users.noreply.github.com>
 Shraddheya Shendre <shendreshraddheya@gmail.com>

data/data.csv

@@ -1,5 +1,5 @@
-abs,"\nabs( x[, options] )\n    Computes the absolute value.\n\n    If provided a number, the function returns a number.\n\n    If provided an ndarray or array-like object, the function performs element-\n    wise computation.\n\n    If provided an array-like object, the function returns an array-like object\n    having the same length and data type as `x`.\n\n    If provided an ndarray, the function returns an ndarray having the same\n    shape and data type as `x`.\n\n    Parameters\n    ----------\n    x: ndarray|ArrayLikeObject|number\n        Input value.\n\n    options: Object (optional)\n        Options.\n\n    options.order: string (optional)\n        Output array order (either row-major (C-style) or column-major (Fortran-\n        style)). Only applicable when the input array is an ndarray. By default,\n        the output array order is inferred from the input array.\n\n    options.dtype: string (optional)\n        Output array data type. Only applicable when the input array is either\n        an ndarray or array-like object. By default, the output array data type\n        is inferred from the input array.\n\n    Returns\n    -------\n    y: ndarray|ArrayLikeObject|number\n        Results.\n\n    Examples\n    --------\n    // Provide a number:\n    > var y = abs( -1.0 )\n    1.0\n\n    // Provide an array-like object:\n    > var x = new Float64Array( [ -1.0, -2.0 ] );\n    > y = abs( x )\n    <Float64Array>[ 1.0, 2.0 ]\n\n    > x = [ -1.0, -2.0 ];\n    > y = abs( x )\n    [ 1.0, 2.0 ]\n\n    // Provide an ndarray:\n    > x = array( [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] );\n    > y = abs( x )\n    <ndarray>\n    > y.get( 0, 1 )\n    2.0\n\n\nabs.assign( x, y )\n    Computes the absolute value and assigns results to a provided output array.\n\n    Parameters\n    ----------\n    x: ndarray|ArrayLikeObject\n        Input array.\n\n    y: ndarray|ArrayLikeObject\n        Output array. Must be the same data \"kind\" (i.e., ndarray or array-like\n        object) as the input array.\n\n    Returns\n    -------\n    y: ndarray|ArrayLikeObject\n        Output array.\n\n    Examples\n    --------\n    // Provide an array-like object:\n    > var x = new Float64Array( [ -1.0, -2.0 ] );\n    > var y = new Float64Array( x.length );\n    > var out = abs.assign( x, y )\n    <Float64Array>[ 1.0, 2.0 ]\n    > var bool = ( out === y )\n    true\n\n    > x = [ -1.0, -2.0 ];\n    > y = [ 0.0, 0.0 ];\n    > out = abs.assign( x, y )\n    [ 1.0, 2.0 ]\n    > bool = ( out === y )\n    true\n\n    // Provide an ndarray:\n    > x = array( [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] );\n    > y = array( [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] );\n    > out = abs.assign( x, y )\n    <ndarray>\n    > out.get( 0, 1 )\n    2.0\n    > bool = ( out === y )\n    true\n\n"
-abs.assign,"\nabs.assign( x, y )\n    Computes the absolute value and assigns results to a provided output array.\n\n    Parameters\n    ----------\n    x: ndarray|ArrayLikeObject\n        Input array.\n\n    y: ndarray|ArrayLikeObject\n        Output array. Must be the same data \"kind\" (i.e., ndarray or array-like\n        object) as the input array.\n\n    Returns\n    -------\n    y: ndarray|ArrayLikeObject\n        Output array.\n\n    Examples\n    --------\n    // Provide an array-like object:\n    > var x = new Float64Array( [ -1.0, -2.0 ] );\n    > var y = new Float64Array( x.length );\n    > var out = abs.assign( x, y )\n    <Float64Array>[ 1.0, 2.0 ]\n    > var bool = ( out === y )\n    true\n\n    > x = [ -1.0, -2.0 ];\n    > y = [ 0.0, 0.0 ];\n    > out = abs.assign( x, y )\n    [ 1.0, 2.0 ]\n    > bool = ( out === y )\n    true\n\n    // Provide an ndarray:\n    > x = array( [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] );\n    > y = array( [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] );\n    > out = abs.assign( x, y )\n    <ndarray>\n    > out.get( 0, 1 )\n    2.0\n    > bool = ( out === y )\n    true"
+abs,"\nabs( x[, options] )\n    Computes the absolute value for each element in an ndarray.\n\n    The function returns an ndarray having the same shape as the input ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    options: Object (optional)\n        Options.\n\n    options.dtype: string (optional)\n        Output array data type. Must be a real-valued or \"generic\" data type.\n\n    options.order: string (optional)\n        Output array order. Must be either row-major (C-style) or column-major\n        (Fortran-style). By default, the order of the output array is the same\n        as the input array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array containing element-wise results.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var y = abs( x );\n    > ndarray2array( y )\n    [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n\n\nabs.assign( x, y )\n    Computes the absolute value for each element in an ndarray and assigns\n    results to a provided output ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    y: ndarray\n        Output array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var sh = ndarrayShape( x );\n    > var y = ndzeros( sh );\n    > var out = abs.assign( x, y );\n    > var bool = ( out === y )\n    true\n    > ndarray2array( y )\n    [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]\n\n"
+abs.assign,"\nabs.assign( x, y )\n    Computes the absolute value for each element in an ndarray and assigns\n    results to a provided output ndarray.\n\n    Parameters\n    ----------\n    x: ndarray\n        Input array. Must have a numeric or \"generic\" data type.\n\n    y: ndarray\n        Output array.\n\n    Returns\n    -------\n    y: ndarray\n        Output array.\n\n    Examples\n    --------\n    > var arr = [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ];\n    > var x = array( arr );\n    > var sh = ndarrayShape( x );\n    > var y = ndzeros( sh );\n    > var out = abs.assign( x, y );\n    > var bool = ( out === y )\n    true\n    > ndarray2array( y )\n    [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]"
 acartesianPower,"\nacartesianPower( x, n )\n    Returns the Cartesian power.\n\n    If provided an empty array, the function returns an empty array.\n\n    If `n` is less than or equal to zero, the function returns an empty array.\n\n    Parameters\n    ----------\n    x: ArrayLikeObject\n        Input array.\n\n    n: integer\n        Power.\n\n    Returns\n    -------\n    out: Array<Array>\n        Cartesian product.\n\n    Examples\n    --------\n    > var x = [ 1, 2 ];\n    > var out = acartesianPower( x, 2 )\n    [ [ 1, 1 ], [ 1, 2 ], [ 2, 1 ], [ 2, 2 ] ]\n\n    See Also\n    --------\n    acartesianProduct, acartesianSquare\n"
 acartesianProduct,"\nacartesianProduct( x1, x2 )\n    Returns the Cartesian product.\n\n    If provided one or more empty arrays, the function returns an empty array.\n\n    Parameters\n    ----------\n    x1: ArrayLikeObject\n        First input array.\n\n    x2: ArrayLikeObject\n        Second input array.\n\n    Returns\n    -------\n    out: Array<Array>\n        Cartesian product.\n\n    Examples\n    --------\n    > var x1 = [ 1, 2 ];\n    > var x2 = [ 3, 4 ];\n    > var out = acartesianProduct( x1, x2 )\n    [ [ 1, 3 ], [ 1, 4 ], [ 2, 3 ], [ 2, 4 ] ]\n\n    See Also\n    --------\n    acartesianPower, acartesianSquare\n"
 acartesianSquare,"\nacartesianSquare( x )\n    Returns the Cartesian square.\n\n    If provided an empty array, the function returns an empty array.\n\n    Parameters\n    ----------\n    x: ArrayLikeObject\n        Input array.\n\n    Returns\n    -------\n    out: Array<Array>\n        Cartesian product.\n\n    Examples\n    --------\n    > var out = acartesianSquare( [ 1, 2 ] )\n    [ [ 1, 1 ], [ 1, 2 ], [ 2, 1 ], [ 2, 2 ] ]\n\n    See Also\n    --------\n    acartesianPower, acartesianProduct\n"