#' R6 class for the e_demand
#'
#' @docType class
#' @export
#' @format An \code{\link{R6Class}} generator object
#' @keywords data
#' @field serveraddress Stores address of your lightning server.
#' @field sessionid Stores id of your current session on the server.
#' @field url Stores url of the last visualization created by this object.
#' @field autoopen Checks if the server is automatically opening the visualizations.
#' @field notebook Checks if the server is in the jupyter notebook mode.
#' @section Methods:
#' \describe{
#' \item{Documentation}{For full documentation of each method go to https://github.com/lightning-viz/lightining-r/}
#' \item{\code{new(serveraddress)}}{This method is used to create object of this class with \code{serveraddress} as address of the server object is connecting to.}
#' \item{\code{sethost(serveraddress)}}{This method changes server that you are contacting with to \code{serveraddress}.}
#' \item{\code{createsession(sessionname = "")}}{This method creates new session on the server with optionally given name in \code{sessionname}.}
#' \item{\code{usesession(sessionid)}}{This method changes currently used session on the server to the one with id given in \code{sessionid} parameter.}
#' }
e_demand <- R6Class("e_demand",
public = list(
input = list(fixed = NULL,
flex = NULL),
output = NULL,
initialize = function(fixed = c(),
flex = list()) {
tolist <- listify(flex)
assert_that(all_flex_mtx(tolist))
names(tolist) <- lapply(tolist, function(x){x$name})
self$input$fixed <- fixed
self$input$flex <- tolist
}
)
)
#' Class to generate a flexibilty matrix
#'
#' @docType class
#' @export
#' @format An \code{\link{R6Class}} generator object
#' @keywords data
#' @section Methods:
#' \describe{
#' \item{\code{example_method(parameter_1 = 3)}}{This method uses \code{parameter_1} to ...}
#' }
flex_mtx <- R6Class("flex_mtx",
public = list(
name = NULL,
data = NULL,
steps = NULL,
cap = NULL,
initialize = function(data = matrix(),
steps = c(),
name = NULL,
cap = NULL) {
assert_that(ncol(data) == length(steps))
assert_that(all(steps >= 1))
assert_that(length(unique(steps)) == length(steps))
assert_that(!is.unsorted(steps))
self$name <- name
self$data <- data
self$steps <- steps
self$cap <- cap
}
)
)
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