#' Check Regimen Cardinality of 1:1
#' @description Does each observation have exactly 1 Regimen based on unique length?
#' @import dplyr
#' @export
checkCardinality <-
        function(.input) {
                # Stop if empty from a previous checkpoint
                if (nrow(.input) == 0) {
                        stop('input is empty')
                }
                qa <-
                .input %>%
                        dplyr::group_by(ID) %>%
                        dplyr::summarize(regimen_count = length(unique(Regimen)), .groups = "drop") %>%
                        dplyr::filter(regimen_count != 1)
                if (nrow(qa)) {
                        qaCheckCardinality <<- .input[(.input$ID %in% qa$ID),]
                        stop('IDs not mapped to exactly 1 Regimen. See qaCheckCardinality.')
                }
                return(.input)
        }
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