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# Copyright (C) 2021-2023 Koen Derks
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#' Draw Gemstones
#'
#' @description This function draws the predictions from a k-nearest neighbors algorithm trained on randomly generated continuous data.
#'
#' @usage canvas_gemstone(
#' colors,
#' n = 1000,
#' resolution = 500
#' )
#'
#' @param colors a string or character vector specifying the color(s) used for the artwork.
#' @param n a positive integer specifying the number of random data points to generate.
#' @param resolution resolution of the artwork in pixels per row/column. Increasing the resolution increases the quality of the artwork but also increases the computation time exponentially.
#'
#' @return A \code{ggplot} object containing the artwork.
#'
#' @references \url{https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm}
#'
#' @author Koen Derks, \email{koen-derks@hotmail.com}
#'
#' @keywords artwork canvas
#'
#' @seealso \code{colorPalette}
#'
#' @examples
#' \donttest{
#' set.seed(1)
#'
#' # Simple example
#' canvas_gemstone(colors = colorPalette("dark3"))
#' }
#'
#' @export
canvas_gemstone <- function(colors,
n = 1000,
resolution = 500) {
.checkUserInput(resolution = resolution)
canvas <- .noise(dims = c(resolution, resolution), n = n, type = "knn")
canvas <- .unraster(canvas, names = c("x", "y", "z"))
artwork <- ggplot2::ggplot(data = canvas, mapping = ggplot2::aes(x = x, y = y, fill = z)) +
ggplot2::geom_raster(interpolate = TRUE) +
ggplot2::xlim(c(0, resolution + 1)) +
ggplot2::ylim(c(0, resolution + 1)) +
ggplot2::scale_fill_gradientn(colours = colors)
artwork <- theme_canvas(artwork)
return(artwork)
}
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