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Created February 14, 2024 22:09
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Revisions

  1. @taruma taruma revised this gist May 26, 2023. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion feidlambda_v0_4.scala
    Original file line number Diff line number Diff line change
    @@ -306,7 +306,7 @@ _RECURSIVE_LOOKUP = LAMBDA(
    )
    );

    // GET_RECURSIVE_LOOKUP --> GET_XLOOKUP
    // _RECURSIVE_LOOKUP --> GET_XLOOKUP
    GET_XLOOKUP = LAMBDA(
    lookup_value,
    lookup_vector,
  2. @taruma taruma revised this gist May 23, 2023. 1 changed file with 277 additions and 37 deletions.
    314 changes: 277 additions & 37 deletions feidlambda_v0_4.scala
    Original file line number Diff line number Diff line change
    @@ -1,11 +1,49 @@
    /*
    feidlambda v0.4.0 - LOGIC / UTILITIES FUNCTIONS BY FIAKO ENGINEERING
    OFFICIAL GIST (feidlambda v0.4.x): https://gist.github.com/taruma/92bd33600a3d42dc9aead87558404a12
    REPOSITORY: https://github.com/fiakoenjiniring/feidlambda
    AUTHOR: @taruma
    TESTED: Microsoft Excel v2211
    OFFICIAL GIST (feidlambda v0.4.x):
    https://gist.github.com/taruma/b4df638ecb7af48ab63691951481d6b2
    REPOSITORY:
    https://github.com/fiakoenjiniring/feidlambda
    CONTRIBUTOR: @taruma, @iingLK
    TESTED: Microsoft Excel 365 v2304
    */

    // BATAS MAKSMIMUM LAYAR EDITOR -------------------------------------------#

    /*
    ---- APPLY ----
    */

    // NONE --> APPLY_COLUMN
    APPLY_COLUMN = LAMBDA(array, index_vector, LAMBDA_FUNCTION,
    LET(
    index_vector, SORT(index_vector),
    selected_array, CHOOSECOLS(array, index_vector),
    applied_array, LAMBDA_FUNCTION(selected_array),
    sequence_vector, SEQUENCE(COLUMNS(array)),
    logical_vector, BYROW(
    sequence_vector,
    LAMBDA(row, OR(row = index_vector))
    ),
    scan_vector, SCAN(
    0,
    logical_vector,
    LAMBDA(acc, curr, IF(curr, acc + 1, acc))
    ),
    position_vector, scan_vector + COLUMNS(array),
    all_array, HSTACK(array, applied_array),
    selected_vector, MAP(
    logical_vector,
    sequence_vector,
    position_vector,
    LAMBDA(logical_el, seq_el, pos_el,
    IF(logical_el, pos_el, seq_el)
    )
    ),
    CHOOSECOLS(all_array, selected_vector)
    )
    );

    /*
    ---- FILTER ----
    */
    @@ -17,7 +55,10 @@ FILTER_DROP_ROWS = LAMBDA(array, row_index,
    row_index_clean, FILTER(row_index, NOT(ISBLANK(row_index))),
    nrows, ROWS(array),
    row_sequence, SEQUENCE(nrows),
    selected_row, BYROW(row_sequence, LAMBDA(each_row, OR(each_row = row_index_clean))),
    selected_row, BYROW(
    row_sequence,
    LAMBDA(each_row, OR(each_row = row_index_clean))
    ),
    FILTER(array, NOT(selected_row))
    )
    );
    @@ -26,10 +67,16 @@ FILTER_DROP_ROWS = LAMBDA(array, row_index,
    FILTER_DROP_COLUMNS = LAMBDA(array, column_index,
    LET(
    column_index, TOROW(column_index),
    column_index_clean, FILTER(column_index, NOT(ISBLANK(column_index))),
    column_index_clean, FILTER(
    column_index,
    NOT(ISBLANK(column_index))
    ),
    ncols, COLUMNS(array),
    col_sequence, SEQUENCE(1, ncols),
    selected_col, BYCOL(col_sequence, LAMBDA(each_col, OR(each_col = column_index_clean))),
    selected_col, BYCOL(
    col_sequence,
    LAMBDA(each_col, OR(each_col = column_index_clean))
    ),
    FILTER(array, NOT(selected_col))
    )
    );
    @@ -44,24 +91,45 @@ FILTER_FUNC_COLUMN = LAMBDA(
    [label_function],
    [take_first_only],
    LET(
    take_first_only, IF(ISOMITTED(take_first_only), FALSE, take_first_only),
    take_first_only, IF(
    ISOMITTED(take_first_only),
    FALSE,
    take_first_only
    ),
    column_index, IF(ISOMITTED(column_index), 1, column_index),
    label_col, IF(ISOMITTED(label_col), column_index, label_col),
    with_label, IF(ISOMITTED(with_label), FALSE, with_label),
    function, IF(ISOMITTED(function), LAMBDA(x, MAX(x)), function),
    label_function, IF(ISOMITTED(label_function), "func", label_function),
    label_function, IF(
    ISOMITTED(label_function),
    "func",
    label_function
    ),
    selected_vector, CHOOSECOLS(array, column_index),
    func_value, function(selected_vector),
    selected_logical, selected_vector = func_value,
    array_filter, FILTER(array, selected_logical),
    array_func, IF(take_first_only, TAKE(array_filter, 1), array_filter),
    label, MAKEARRAY(ROWS(array_func), 1, LAMBDA(x, y, CONCAT(label_col, "_", label_function))),
    array_func, IF(
    take_first_only,
    TAKE(array_filter, 1),
    array_filter
    ),
    label, MAKEARRAY(
    ROWS(array_func),
    1,
    LAMBDA(x, y, CONCAT(label_col, "_", label_function))
    ),
    IF(with_label, HSTACK(label, array_func), array_func)
    )
    );

    // FILTER_FUNC_COLUMN --> FILTER_MINMAX_COLUMN
    FILTER_MINMAX_COLUMN = LAMBDA(array, [column_index], [with_label], [label_col], [take_first_only],
    FILTER_MINMAX_COLUMN = LAMBDA(
    array,
    [column_index],
    [with_label],
    [label_col],
    [take_first_only],
    LET(
    func_1, LAMBDA(x, MIN(x)),
    label_func_1, "min",
    @@ -99,16 +167,40 @@ _RECURSIVE_FILTER_MINMAX = LAMBDA(
    [label_vector],
    [take_first_only],
    LET(
    ignore_first_column, IF(ISOMITTED(ignore_first_column), FALSE, ignore_first_column),
    ignore_first_column, IF(
    ISOMITTED(ignore_first_column),
    FALSE,
    ignore_first_column
    ),
    stop_col, IF(ignore_first_column, 2, 1),
    label_vector, IF(ISOMITTED(label_vector), SEQUENCE(1, COLUMNS(array)), label_vector),
    new_label, IF(stop_col = 2, HSTACK({" "}, label_vector), label_vector),
    label_vector, IF(
    ISOMITTED(label_vector),
    SEQUENCE(1, COLUMNS(array)),
    label_vector
    ),
    new_label, IF(
    stop_col = 2,
    HSTACK({" "}, label_vector),
    label_vector
    ),
    label_col, CHOOSECOLS(new_label, ntry),
    IF(
    ntry = stop_col,
    FILTER_MINMAX_COLUMN(array, ntry, with_label, label_col, take_first_only),
    FILTER_MINMAX_COLUMN(
    array,
    ntry,
    with_label,
    label_col,
    take_first_only
    ),
    LET(
    results, FILTER_MINMAX_COLUMN(array, ntry, with_label, label_col, take_first_only),
    results, FILTER_MINMAX_COLUMN(
    array,
    ntry,
    with_label,
    label_col,
    take_first_only
    ),
    next_try, ntry - 1,
    VSTACK(
    _RECURSIVE_FILTER_MINMAX(
    @@ -127,7 +219,12 @@ _RECURSIVE_FILTER_MINMAX = LAMBDA(
    );

    // _RECURSIVE_FILTER_MINMAX --> FILTER_MINMAX_ARRAY
    FILTER_MINMAX_ARRAY = LAMBDA(array, [ignore_first_column], [with_label], [label_vector], [take_first_only],
    FILTER_MINMAX_ARRAY = LAMBDA(
    array,
    [ignore_first_column],
    [with_label],
    [label_vector],
    [take_first_only],
    _RECURSIVE_FILTER_MINMAX(
    array,
    COLUMNS(array),
    @@ -145,7 +242,11 @@ FILTER_MINMAX_ARRAY = LAMBDA(array, [ignore_first_column], [with_label], [label_
    // NONE --> GET_INDEX_2D
    GET_INDEX_2D = LAMBDA(lookup_value, array, [return_as_order],
    LET(
    return_as_order, IF(ISOMITTED(return_as_order), FALSE, return_as_order),
    return_as_order, IF(
    ISOMITTED(return_as_order),
    FALSE,
    return_as_order
    ),
    nrows, ROWS(array),
    ncols, COLUMNS(array),
    size, nrows * ncols,
    @@ -162,6 +263,72 @@ GET_INDEX_2D = LAMBDA(lookup_value, array, [return_as_order],
    )
    );

    // _RECURSIVE_LOOKUP --> _RECURSIVE_LOOKUP
    _RECURSIVE_LOOKUP = LAMBDA(
    ntry,
    lookup_value,
    lookup_vector,
    return_array,
    [if_not_found],
    [match_mode],
    [search_mode],
    LET(
    lookup_value, TOCOL(lookup_value),
    LET(
    selected_value, VALUE(
    ARRAYTOTEXT(CHOOSEROWS(lookup_value, ntry))
    ),
    result, XLOOKUP(
    selected_value,
    lookup_vector,
    return_array,
    if_not_found,
    match_mode,
    search_mode
    ),
    IF(
    ntry = 1,
    result,
    VSTACK(
    _RECURSIVE_LOOKUP(
    ntry - 1,
    lookup_value,
    lookup_vector,
    return_array,
    if_not_found,
    match_mode,
    search_mode
    ),
    result
    )
    )
    )
    )
    );

    // GET_RECURSIVE_LOOKUP --> GET_XLOOKUP
    GET_XLOOKUP = LAMBDA(
    lookup_value,
    lookup_vector,
    return_array,
    [if_not_found],
    [match_mode],
    [search_mode],
    LET(
    lookup_value, TOCOL(lookup_value),
    ntry, ROWS(lookup_value),
    _RECURSIVE_LOOKUP(
    ntry,
    lookup_value,
    lookup_vector,
    return_array,
    if_not_found,
    match_mode,
    search_mode
    )
    )
    );

    /*
    ---- IS ----
    */
    @@ -170,7 +337,12 @@ GET_INDEX_2D = LAMBDA(lookup_value, array, [return_as_order],
    IS_ALL_IN_VECTOR = LAMBDA(lookup_vector, array,
    LET(
    lookup_vector, TOCOL(lookup_vector),
    MAP(array, LAMBDA(element, OR(BYROW(lookup_vector, LAMBDA(lookup, element = lookup)))))
    MAP(
    array,
    LAMBDA(element,
    OR(BYROW(lookup_vector, LAMBDA(lookup, element = lookup)))
    )
    )
    )
    );

    @@ -184,7 +356,10 @@ IS_COLS_EQUAL_VECTOR = LAMBDA(lookup_vector, array,
    IF(
    ncols_array = ncols_vector,
    LET(
    repeat_array, CHOOSEROWS(lookup_vector, SEQUENCE(nrows_array, , 1, 0)),
    repeat_array, CHOOSEROWS(
    lookup_vector,
    SEQUENCE(nrows_array, , 1, 0)
    ),
    MAP(array, repeat_array, LAMBDA(x, y, x = y))
    ),
    "N/A"
    @@ -195,7 +370,11 @@ IS_COLS_EQUAL_VECTOR = LAMBDA(lookup_vector, array,
    // IS_COLS_EQUAL_LOOKUP_VECTOR --> IS_ALL_COLS_EQUAL_LOOKUP_VECTOR
    IS_ALL_COLS_EQUAL_VECTOR = LAMBDA(lookup_vector, array, [logical_function],
    LET(
    logical_function, IF(ISOMITTED(logical_function), LAMBDA(x, OR(x)), logical_function),
    logical_function, IF(
    ISOMITTED(logical_function),
    LAMBDA(x, OR(x)),
    logical_function
    ),
    array_boolean, IS_COLS_EQUAL_VECTOR(lookup_vector, array),
    BYROW(array_boolean, LAMBDA(each_row, logical_function(each_row)))
    )
    @@ -204,15 +383,23 @@ IS_ALL_COLS_EQUAL_VECTOR = LAMBDA(lookup_vector, array, [logical_function],
    // NONE --> IS_ROWS_LOGICAL
    IS_ROWS_LOGICAL = LAMBDA(logical_array, [logical_function],
    LET(
    logical_function, IF(ISOMITTED(logical_function), LAMBDA(x, OR(x)), logical_function),
    logical_function, IF(
    ISOMITTED(logical_function),
    LAMBDA(x, OR(x)),
    logical_function
    ),
    BYROW(logical_array, LAMBDA(each_row, logical_function(each_row)))
    )
    );

    // NONE --> IS_COLUMNS_LOGICAL
    IS_COLUMNS_LOGICAL = LAMBDA(logical_array, [logical_function],
    LET(
    logical_function, IF(ISOMITTED(logical_function), LAMBDA(x, OR(x)), logical_function),
    logical_function, IF(
    ISOMITTED(logical_function),
    LAMBDA(x, OR(x)),
    logical_function
    ),
    BYCOL(logical_array, LAMBDA(each_col, logical_function(each_col)))
    )
    );
    @@ -222,11 +409,19 @@ IS_COLUMNS_LOGICAL = LAMBDA(logical_array, [logical_function],
    */

    // _RECURSIVE_MAKE_SEQUENCE --> _RECURSIVE_MAKE_SEQUENCE
    _RECURSIVE_MAKE_SEQUENCE = LAMBDA(start_vector, end_vector, ntry, [stack_horizontally],
    _RECURSIVE_MAKE_SEQUENCE = LAMBDA(
    start_vector,
    end_vector,
    ntry,
    [stack_horizontally],
    LET(
    seq_start, INDEX(start_vector, ntry),
    seq_end, INDEX(end_vector, ntry),
    stack_horizontally, IF(ISOMITTED(stack_horizontally), FALSE, stack_horizontally),
    stack_horizontally, IF(
    ISOMITTED(stack_horizontally),
    FALSE,
    stack_horizontally
    ),
    IF(
    ntry = 1,
    SEQUENCE(seq_end - seq_start + 1, , seq_start),
    @@ -236,11 +431,21 @@ _RECURSIVE_MAKE_SEQUENCE = LAMBDA(start_vector, end_vector, ntry, [stack_horizon
    IF(
    stack_horizontally,
    HSTACK(
    _RECURSIVE_MAKE_SEQUENCE(start_vector, end_vector, next_try, stack_horizontally),
    _RECURSIVE_MAKE_SEQUENCE(
    start_vector,
    end_vector,
    next_try,
    stack_horizontally
    ),
    results
    ),
    VSTACK(
    _RECURSIVE_MAKE_SEQUENCE(start_vector, end_vector, next_try, stack_horizontally),
    _RECURSIVE_MAKE_SEQUENCE(
    start_vector,
    end_vector,
    next_try,
    stack_horizontally
    ),
    results
    )
    )
    @@ -250,8 +455,16 @@ _RECURSIVE_MAKE_SEQUENCE = LAMBDA(start_vector, end_vector, ntry, [stack_horizon
    );

    // _RECURSIVE_MAKE_SEQUENCE --> MAKE_SEQUENCE_FROM_VECTOR
    MAKE_SEQUENCE_FROM_VECTOR = LAMBDA(start_vector, end_vector, [stack_horizontally],
    _RECURSIVE_MAKE_SEQUENCE(start_vector, end_vector, ROWS(start_vector), stack_horizontally)
    MAKE_SEQUENCE_FROM_VECTOR = LAMBDA(
    start_vector,
    end_vector,
    [stack_horizontally],
    _RECURSIVE_MAKE_SEQUENCE(
    start_vector,
    end_vector,
    ROWS(start_vector),
    stack_horizontally
    )
    );

    /*
    @@ -263,7 +476,11 @@ REPEAT_ARRAY = LAMBDA(array, [num_repeat], [by_row],
    LET(
    by_row, IF(ISOMITTED(by_row), TRUE, by_row),
    num_repeat, IF(ISOMITTED(num_repeat), 2, num_repeat),
    IF(by_row, REPEAT_ARRAY_BY_ROW(array, num_repeat), REPEAT_ARRAY_BY_COLUMN(array, num_repeat))
    IF(
    by_row,
    REPEAT_ARRAY_BY_ROW(array, num_repeat),
    REPEAT_ARRAY_BY_COLUMN(array, num_repeat)
    )
    )
    );

    @@ -274,7 +491,10 @@ REPEAT_ARRAY_BY_ROW = LAMBDA(array, [num_repeat],
    IF(
    num_repeat = 1,
    array,
    LET(next_repeat, num_repeat - 1, VSTACK(REPEAT_ARRAY_BY_ROW(array, next_repeat), array))
    LET(
    next_repeat, num_repeat - 1,
    VSTACK(REPEAT_ARRAY_BY_ROW(array, next_repeat), array)
    )
    )
    )
    );
    @@ -286,7 +506,10 @@ REPEAT_ARRAY_BY_COLUMN = LAMBDA(array, [num_repeat],
    IF(
    num_repeat = 1,
    array,
    LET(next_repeat, num_repeat - 1, HSTACK(REPEAT_ARRAY_BY_COLUMN(array, next_repeat), array))
    LET(
    next_repeat, num_repeat - 1,
    HSTACK(REPEAT_ARRAY_BY_COLUMN(array, next_repeat), array)
    )
    )
    )
    );
    @@ -305,9 +528,15 @@ RESHAPE_BY_COLUMNS = LAMBDA(array, [num_split],
    MOD(ncols, num_split) = 0,
    LET(
    divider, ncols / num_split,
    divider_sequence, CHOOSEROWS(SEQUENCE(1, divider), SEQUENCE(num_split, , 1, 0)),
    divider_sequence, CHOOSEROWS(
    SEQUENCE(1, divider),
    SEQUENCE(num_split, , 1, 0)
    ),
    divider_flatten, TOCOL(divider_sequence, , TRUE),
    divider_repeat, CHOOSEROWS(TOROW(divider_flatten), SEQUENCE(nrows, , 1, 0)),
    divider_repeat, CHOOSEROWS(
    TOROW(divider_flatten),
    SEQUENCE(nrows, , 1, 0)
    ),
    divider_repeat_col, TOCOL(divider_repeat),
    array_flatten, TOCOL(array),
    array_sorted, SORTBY(array_flatten, divider_repeat_col),
    @@ -327,7 +556,11 @@ ROTATE_VECTOR = LAMBDA(vector, num_rotation, [as_column_vector],
    LET(
    vector, TOCOL(vector),
    rotated_array, IFS(
    OR(num_rotation = 0, num_rotation >= ROWS(vector), num_rotation <= -ROWS(vector)),
    OR(
    num_rotation = 0,
    num_rotation >= ROWS(vector),
    num_rotation <= -ROWS(vector)
    ),
    vector,
    num_rotation > 0,
    VSTACK(DROP(vector, num_rotation), TAKE(vector, num_rotation)),
    @@ -412,7 +645,14 @@ _RECURSIVE_TEXT_SPLIT = LAMBDA(
    selected_row, ARRAYTOTEXT(INDEX(text_vector, ntry)),
    IF(
    ntry = 1,
    TEXTSPLIT(selected_row, col_delimiter, row_delimiter, ignore_empty, match_mode, pad_with),
    TEXTSPLIT(
    selected_row,
    col_delimiter,
    row_delimiter,
    ignore_empty,
    match_mode,
    pad_with
    ),
    LET(
    next_try, ntry - 1,
    results, TEXTSPLIT(
  3. @taruma taruma created this gist Apr 3, 2023.
    492 changes: 492 additions & 0 deletions feidlambda_v0_4.scala
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,492 @@
    /*
    feidlambda v0.4.0 - LOGIC / UTILITIES FUNCTIONS BY FIAKO ENGINEERING
    OFFICIAL GIST (feidlambda v0.4.x): https://gist.github.com/taruma/92bd33600a3d42dc9aead87558404a12
    REPOSITORY: https://github.com/fiakoenjiniring/feidlambda
    AUTHOR: @taruma
    TESTED: Microsoft Excel v2211
    */

    /*
    ---- FILTER ----
    */

    // NONE --> FILTER_DROP_ROWS
    FILTER_DROP_ROWS = LAMBDA(array, row_index,
    LET(
    row_index, TOCOL(row_index),
    row_index_clean, FILTER(row_index, NOT(ISBLANK(row_index))),
    nrows, ROWS(array),
    row_sequence, SEQUENCE(nrows),
    selected_row, BYROW(row_sequence, LAMBDA(each_row, OR(each_row = row_index_clean))),
    FILTER(array, NOT(selected_row))
    )
    );

    // NONE --> FILTER_DROP_COLUMNS
    FILTER_DROP_COLUMNS = LAMBDA(array, column_index,
    LET(
    column_index, TOROW(column_index),
    column_index_clean, FILTER(column_index, NOT(ISBLANK(column_index))),
    ncols, COLUMNS(array),
    col_sequence, SEQUENCE(1, ncols),
    selected_col, BYCOL(col_sequence, LAMBDA(each_col, OR(each_col = column_index_clean))),
    FILTER(array, NOT(selected_col))
    )
    );

    // NONE --> FILTER_FUNC_COLUMN
    FILTER_FUNC_COLUMN = LAMBDA(
    array,
    [column_index],
    [with_label],
    [label_col],
    [function],
    [label_function],
    [take_first_only],
    LET(
    take_first_only, IF(ISOMITTED(take_first_only), FALSE, take_first_only),
    column_index, IF(ISOMITTED(column_index), 1, column_index),
    label_col, IF(ISOMITTED(label_col), column_index, label_col),
    with_label, IF(ISOMITTED(with_label), FALSE, with_label),
    function, IF(ISOMITTED(function), LAMBDA(x, MAX(x)), function),
    label_function, IF(ISOMITTED(label_function), "func", label_function),
    selected_vector, CHOOSECOLS(array, column_index),
    func_value, function(selected_vector),
    selected_logical, selected_vector = func_value,
    array_filter, FILTER(array, selected_logical),
    array_func, IF(take_first_only, TAKE(array_filter, 1), array_filter),
    label, MAKEARRAY(ROWS(array_func), 1, LAMBDA(x, y, CONCAT(label_col, "_", label_function))),
    IF(with_label, HSTACK(label, array_func), array_func)
    )
    );

    // FILTER_FUNC_COLUMN --> FILTER_MINMAX_COLUMN
    FILTER_MINMAX_COLUMN = LAMBDA(array, [column_index], [with_label], [label_col], [take_first_only],
    LET(
    func_1, LAMBDA(x, MIN(x)),
    label_func_1, "min",
    func_2, LAMBDA(x, MAX(x)),
    label_func_2, "max",
    func1_result, FILTER_FUNC_COLUMN(
    array,
    column_index,
    with_label,
    label_col,
    func_1,
    label_func_1,
    take_first_only
    ),
    func2_result, FILTER_FUNC_COLUMN(
    array,
    column_index,
    with_label,
    label_col,
    func_2,
    label_func_2,
    take_first_only
    ),
    VSTACK(func1_result, func2_result)
    )
    );

    // FILTER_MINMAX_COLUMN --> _RECURSIVE_FILTER_MINMAX
    // _RECURSIVE_FILTER_MINMAX --> _RECURSIVE_FILTER_MINMAX
    _RECURSIVE_FILTER_MINMAX = LAMBDA(
    array,
    ntry,
    [ignore_first_column],
    [with_label],
    [label_vector],
    [take_first_only],
    LET(
    ignore_first_column, IF(ISOMITTED(ignore_first_column), FALSE, ignore_first_column),
    stop_col, IF(ignore_first_column, 2, 1),
    label_vector, IF(ISOMITTED(label_vector), SEQUENCE(1, COLUMNS(array)), label_vector),
    new_label, IF(stop_col = 2, HSTACK({" "}, label_vector), label_vector),
    label_col, CHOOSECOLS(new_label, ntry),
    IF(
    ntry = stop_col,
    FILTER_MINMAX_COLUMN(array, ntry, with_label, label_col, take_first_only),
    LET(
    results, FILTER_MINMAX_COLUMN(array, ntry, with_label, label_col, take_first_only),
    next_try, ntry - 1,
    VSTACK(
    _RECURSIVE_FILTER_MINMAX(
    array,
    next_try,
    ignore_first_column,
    with_label,
    label_vector,
    take_first_only
    ),
    results
    )
    )
    )
    )
    );

    // _RECURSIVE_FILTER_MINMAX --> FILTER_MINMAX_ARRAY
    FILTER_MINMAX_ARRAY = LAMBDA(array, [ignore_first_column], [with_label], [label_vector], [take_first_only],
    _RECURSIVE_FILTER_MINMAX(
    array,
    COLUMNS(array),
    ignore_first_column,
    with_label,
    label_vector,
    take_first_only
    )
    );

    /*
    ---- GET ----
    */

    // NONE --> GET_INDEX_2D
    GET_INDEX_2D = LAMBDA(lookup_value, array, [return_as_order],
    LET(
    return_as_order, IF(ISOMITTED(return_as_order), FALSE, return_as_order),
    nrows, ROWS(array),
    ncols, COLUMNS(array),
    size, nrows * ncols,
    array_flatten, TOCOL(array, , TRUE),
    index_sequence, SEQUENCE(nrows, ncols, 1, 1),
    rows_sequence, MAKEARRAY(nrows, ncols, LAMBDA(x, y, x)),
    columns_sequence, MAKEARRAY(nrows, ncols, LAMBDA(x, y, y)),
    rows_flatten, TOCOL(rows_sequence, , TRUE),
    columns_flatten, TOCOL(columns_sequence, , TRUE),
    index_flatten, TOCOL(index_sequence, , TRUE),
    lookup_table, HSTACK(index_flatten, rows_flatten, columns_flatten),
    lookup_result, FILTER(lookup_table, array_flatten = lookup_value),
    IF(return_as_order, CHOOSECOLS(lookup_result, 1), lookup_result)
    )
    );

    /*
    ---- IS ----
    */

    // NONE --> IS_ALL_IN_LOOKUP_VECTOR
    IS_ALL_IN_VECTOR = LAMBDA(lookup_vector, array,
    LET(
    lookup_vector, TOCOL(lookup_vector),
    MAP(array, LAMBDA(element, OR(BYROW(lookup_vector, LAMBDA(lookup, element = lookup)))))
    )
    );

    // NONE --> IS_COLS_EQUAL_LOOKUP_VECTOR
    IS_COLS_EQUAL_VECTOR = LAMBDA(lookup_vector, array,
    LET(
    lookup_vector, TOROW(lookup_vector),
    ncols_vector, COLUMNS(lookup_vector),
    ncols_array, COLUMNS(array),
    nrows_array, ROWS(array),
    IF(
    ncols_array = ncols_vector,
    LET(
    repeat_array, CHOOSEROWS(lookup_vector, SEQUENCE(nrows_array, , 1, 0)),
    MAP(array, repeat_array, LAMBDA(x, y, x = y))
    ),
    "N/A"
    )
    )
    );

    // IS_COLS_EQUAL_LOOKUP_VECTOR --> IS_ALL_COLS_EQUAL_LOOKUP_VECTOR
    IS_ALL_COLS_EQUAL_VECTOR = LAMBDA(lookup_vector, array, [logical_function],
    LET(
    logical_function, IF(ISOMITTED(logical_function), LAMBDA(x, OR(x)), logical_function),
    array_boolean, IS_COLS_EQUAL_VECTOR(lookup_vector, array),
    BYROW(array_boolean, LAMBDA(each_row, logical_function(each_row)))
    )
    );

    // NONE --> IS_ROWS_LOGICAL
    IS_ROWS_LOGICAL = LAMBDA(logical_array, [logical_function],
    LET(
    logical_function, IF(ISOMITTED(logical_function), LAMBDA(x, OR(x)), logical_function),
    BYROW(logical_array, LAMBDA(each_row, logical_function(each_row)))
    )
    );

    // NONE --> IS_COLUMNS_LOGICAL
    IS_COLUMNS_LOGICAL = LAMBDA(logical_array, [logical_function],
    LET(
    logical_function, IF(ISOMITTED(logical_function), LAMBDA(x, OR(x)), logical_function),
    BYCOL(logical_array, LAMBDA(each_col, logical_function(each_col)))
    )
    );

    /*
    ---- MAKE ----
    */

    // _RECURSIVE_MAKE_SEQUENCE --> _RECURSIVE_MAKE_SEQUENCE
    _RECURSIVE_MAKE_SEQUENCE = LAMBDA(start_vector, end_vector, ntry, [stack_horizontally],
    LET(
    seq_start, INDEX(start_vector, ntry),
    seq_end, INDEX(end_vector, ntry),
    stack_horizontally, IF(ISOMITTED(stack_horizontally), FALSE, stack_horizontally),
    IF(
    ntry = 1,
    SEQUENCE(seq_end - seq_start + 1, , seq_start),
    LET(
    next_try, ntry - 1,
    results, SEQUENCE(seq_end - seq_start + 1, , seq_start),
    IF(
    stack_horizontally,
    HSTACK(
    _RECURSIVE_MAKE_SEQUENCE(start_vector, end_vector, next_try, stack_horizontally),
    results
    ),
    VSTACK(
    _RECURSIVE_MAKE_SEQUENCE(start_vector, end_vector, next_try, stack_horizontally),
    results
    )
    )
    )
    )
    )
    );

    // _RECURSIVE_MAKE_SEQUENCE --> MAKE_SEQUENCE_FROM_VECTOR
    MAKE_SEQUENCE_FROM_VECTOR = LAMBDA(start_vector, end_vector, [stack_horizontally],
    _RECURSIVE_MAKE_SEQUENCE(start_vector, end_vector, ROWS(start_vector), stack_horizontally)
    );

    /*
    ---- REPEAT ----
    */

    // REPEAT_ARRAY_BY_ROW & REPEAT_ARRAY_BY_COLUMN --> REPEAT_ARRAY
    REPEAT_ARRAY = LAMBDA(array, [num_repeat], [by_row],
    LET(
    by_row, IF(ISOMITTED(by_row), TRUE, by_row),
    num_repeat, IF(ISOMITTED(num_repeat), 2, num_repeat),
    IF(by_row, REPEAT_ARRAY_BY_ROW(array, num_repeat), REPEAT_ARRAY_BY_COLUMN(array, num_repeat))
    )
    );

    // REPEAT_ARRAY_BY_ROW --> REPEAT_ARRAY_BY_ROW
    REPEAT_ARRAY_BY_ROW = LAMBDA(array, [num_repeat],
    LET(
    num_repeat, IF(ISOMITTED(num_repeat), 2, num_repeat),
    IF(
    num_repeat = 1,
    array,
    LET(next_repeat, num_repeat - 1, VSTACK(REPEAT_ARRAY_BY_ROW(array, next_repeat), array))
    )
    )
    );

    // REPEAT_ARRAY_BY_COLUMN --> REPEAT_ARRAY_BY_COLUMN
    REPEAT_ARRAY_BY_COLUMN = LAMBDA(array, [num_repeat],
    LET(
    num_repeat, IF(ISOMITTED(num_repeat), 2, num_repeat),
    IF(
    num_repeat = 1,
    array,
    LET(next_repeat, num_repeat - 1, HSTACK(REPEAT_ARRAY_BY_COLUMN(array, next_repeat), array))
    )
    )
    );

    /*
    ---- RESHAPE ----
    */

    // NONE --> RESHAPE_BY_COLUMNS
    RESHAPE_BY_COLUMNS = LAMBDA(array, [num_split],
    LET(
    num_split, IF(ISOMITTED(num_split), 2, num_split),
    ncols, COLUMNS(array),
    nrows, ROWS(array),
    IF(
    MOD(ncols, num_split) = 0,
    LET(
    divider, ncols / num_split,
    divider_sequence, CHOOSEROWS(SEQUENCE(1, divider), SEQUENCE(num_split, , 1, 0)),
    divider_flatten, TOCOL(divider_sequence, , TRUE),
    divider_repeat, CHOOSEROWS(TOROW(divider_flatten), SEQUENCE(nrows, , 1, 0)),
    divider_repeat_col, TOCOL(divider_repeat),
    array_flatten, TOCOL(array),
    array_sorted, SORTBY(array_flatten, divider_repeat_col),
    WRAPROWS(array_sorted, num_split)
    ),
    NA()
    )
    )
    );

    /*
    ---- ROTATE ----
    */

    // NONE --> ROTATE_VECTOR
    ROTATE_VECTOR = LAMBDA(vector, num_rotation, [as_column_vector],
    LET(
    vector, TOCOL(vector),
    rotated_array, IFS(
    OR(num_rotation = 0, num_rotation >= ROWS(vector), num_rotation <= -ROWS(vector)),
    vector,
    num_rotation > 0,
    VSTACK(DROP(vector, num_rotation), TAKE(vector, num_rotation)),
    num_rotation < 0,
    VSTACK(TAKE(vector, num_rotation), DROP(vector, num_rotation))
    ),
    as_column_vector, IF(ISOMITTED(as_column_vector), FALSE, TRUE),
    IF(as_column_vector, TOROW(rotated_array), TOCOL(rotated_array))
    )
    );

    // ROTATE_VECTOR --> ROTATE_ARRAY
    ROTATE_ARRAY = LAMBDA(array, num_rotation, [rotate_columns],
    LET(
    rotate_columns, IF(ISOMITTED(rotate_columns), TRUE, FALSE),
    nrows, ROWS(array),
    ncols, COLUMNS(array),
    seqrows, SEQUENCE(nrows),
    seqcols, SEQUENCE(1, ncols),
    results, IF(
    rotate_columns,
    CHOOSECOLS(array, ROTATE_VECTOR(seqcols, num_rotation, TRUE)),
    CHOOSEROWS(array, ROTATE_VECTOR(seqrows, num_rotation, FALSE))
    ),
    results
    )
    );

    /*
    ---- SWAP ----
    */

    // NONE --> SWAP_COLUMNS
    SWAP_COLUMNS = LAMBDA(array, [from_index], [to_index],
    LET(
    ncols, COLUMNS(array),
    from_index, IF(ISOMITTED(from_index), 1, from_index),
    to_index, IF(ISOMITTED(to_index), -1, to_index),
    from_value, IF(from_index < 0, from_index + ncols + 1, from_index),
    to_value, IF(to_index < 0, to_index + ncols + 1, to_index),
    column_sequence, SEQUENCE(1, COLUMNS(array)),
    from_logical, column_sequence = from_value,
    to_logical, column_sequence = to_value,
    replace_from, IF(from_logical, to_value, column_sequence),
    replace_to, IF(to_logical, from_value, replace_from),
    CHOOSECOLS(array, replace_to)
    )
    );

    // NONE --> SWAP_ROWS
    SWAP_ROWS = LAMBDA(array, [from_index], [to_index],
    LET(
    nrows, ROWS(array),
    from_index, IF(ISOMITTED(from_index), 1, from_index),
    to_index, IF(ISOMITTED(to_index), -1, to_index),
    from_value, IF(from_index < 0, from_index + nrows + 1, from_index),
    to_value, IF(to_index < 0, to_index + nrows + 1, to_index),
    row_sequence, SEQUENCE(ROWS(array)),
    from_logical, row_sequence = from_value,
    to_logical, row_sequence = to_value,
    replace_from, IF(from_logical, to_value, row_sequence),
    replace_to, IF(to_logical, from_value, replace_from),
    CHOOSEROWS(array, replace_to)
    )
    );

    /*
    ---- TEXT ----
    */

    // _RECURSIVE_TEXT_SPLIT --> _RECURSIVE_TEXT_SPLIT
    _RECURSIVE_TEXT_SPLIT = LAMBDA(
    text_vector,
    ntry,
    col_delimiter,
    [row_delimiter],
    [ignore_empty],
    [match_mode],
    [pad_with],
    LET(
    text_vector, TOCOL(text_vector),
    selected_row, ARRAYTOTEXT(INDEX(text_vector, ntry)),
    IF(
    ntry = 1,
    TEXTSPLIT(selected_row, col_delimiter, row_delimiter, ignore_empty, match_mode, pad_with),
    LET(
    next_try, ntry - 1,
    results, TEXTSPLIT(
    selected_row,
    col_delimiter,
    row_delimiter,
    ignore_empty,
    match_mode,
    pad_with
    ),
    VSTACK(
    _RECURSIVE_TEXT_SPLIT(
    text_vector,
    next_try,
    col_delimiter,
    row_delimiter,
    ignore_empty,
    match_mode,
    pad_with
    ),
    results
    )
    )
    )
    )
    );

    // _RECURSIVE_TEXT_SPLIT --> TEXT_SPLIT_VECTOR
    TEXT_SPLIT_VECTOR = LAMBDA(
    text_vector,
    [col_delimiter],
    [row_delimiter],
    [ignore_empty],
    [match_mode],
    [pad_with],
    [replace_na],
    LET(
    nrows, ROWS(text_vector),
    col_delimiter, IF(ISOMITTED(col_delimiter), " ", col_delimiter),
    replace_na, IF(ISOMITTED(replace_na), NA(), replace_na),
    pad_with, IF(ISOMITTED(pad_with), "", pad_with),
    result, _RECURSIVE_TEXT_SPLIT(
    text_vector,
    nrows,
    col_delimiter,
    row_delimiter,
    ignore_empty,
    match_mode,
    pad_with
    ),
    IFERROR(result, replace_na)
    )
    );

    /*
    MIT License
    Copyright (c) 2022-2023 PT. FIAKO ENJINIRING INDONESIA
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
    */