Deborah.Sarah.XYInfoGenerator

gen_X_info(
    X_df::AbstractArray{T,2}, 
    N_cnf::Int, 
    N_src::Int, 
    read_column::Int
) -> Array{T,2}

Extract a single component (e.g., real or imaginary) from a specific column of the X data matrix, and reshape it into a 2D array of shape (N_cnf, N_src).

This function ignores multi-channel assumptions (such as real/imaginary separation) and simply uses the specified read_column.

Arguments

• X_df::AbstractArray{T,2} Raw input data matrix from an X file. Shape must be (N_cnf $\times$ N_src, $\ge$ read_column).

• N_cnf::Int Number of configurations (i.e., groups of sources in X).

• N_src::Int Number of sources per configuration.

• read_column::Int $1$-based column index to extract values from.

Returns

• Array{T,2} A 2D array of shape (N_cnf, N_src) containing values from the selected column only.

gen_conf_from_Y(
    Y_df::AbstractArray{T,2}, 
    N_cnf::Int, 
    N_src::Int, 
    index_column::Int
) -> Vector{Int}

Extract configuration indices from a specific column in a 2D array representing Y data.

This function scans the Y file data and retrieves configuration numbers at fixed intervals, typically from every N_src-th row. If index_column > 0, values are extracted from that specific column. If index_column == 0, default configuration numbers 1:N_cnf are assigned.

Arguments

• Y_df::AbstractArray{T,2} Raw data array loaded from a Y file. Must have at least N_cnf * N_src rows and enough columns. Expected shape: (N_cnf $\times$ N_src, $\ge$ index_column).

• N_cnf::Int Number of unique configurations (i.e., the number of groups in the Y data).

• N_src::Int Number of sources (rows) per configuration.

• index_column::Int $1$-based column index from which to extract configuration numbers. If set to 0, configuration numbers are auto-generated as 1:N_cnf.

Returns

• Vector{Int} Vector of configuration indices of length N_cnf.

Examples

Y = rand(5500, 3)
conf = gen_conf_from_Y(Y, 1100, 5, 3)  # extract from 3rd column