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# R code to dump the output from 'mgcv' cubic splines in many situations, for
# checking compatibility.
#
# Usage:
# Rscript tools/get-R-crs-test-vectors.R > patsy/test_splines_crs_data.py
cat("# This file auto-generated by tools/get-R-crs-test-vectors.R\n")
cat(sprintf("# Using: %s and package 'mgcv' version %s\n",
R.Version()$version.string,
packageVersion("mgcv")))
cat("import numpy as np\n")
options(digits=20)
library(mgcv)
x <- (-1.5)^(0:19)
pyprint <- function(arr) {
if (is.null(arr)) {
cat("None\n")
} else {
cat("np.array([")
for (val in arr) {
cat(val)
cat(", ")
}
cat("])")
if (!is.null(dim(arr))) {
cat(".reshape((")
for (size in dim(arr)) {
cat(sprintf("%s, ", size))
}
cat("), order=\"F\")")
}
cat("\n")
}
}
num.tests <- 0
dump.crs <- function(spline.type, nb.knots, knots, absorb.cons) {
cat("--BEGIN TEST CASE--\n")
cat(sprintf("spline_type=%s\n", spline.type))
cat(sprintf("nb_knots=%s\n", nb.knots))
cat("knots=")
pyprint(knots)
cat(sprintf("absorb_cons=%s\n", absorb.cons))
args <- list(object=s(x, bs=spline.type, k=nb.knots),
data=data.frame(x=x), knots=NULL, absorb.cons=absorb.cons)
if (!is.null(knots)) {
args$knots <- data.frame(x=knots)
}
result <- do.call(smoothCon, args)
cat("output=")
pyprint(result[[1]]$X)
cat("--END TEST CASE--\n")
assign("num.tests", num.tests + 1, envir=.GlobalEnv)
}
cat("R_crs_test_x = ")
pyprint(x)
cat("R_crs_test_data = \"\"\"\n")
for (spline.type in c("cr", "cs", "cc")) {
for (absorb.cons in c(FALSE, TRUE)) {
for (nb.knots in c(4, 7, 10, 12)) {
dump.crs(spline.type, nb.knots, NULL, absorb.cons)
}
for (knots in list(c(-2500., -150., 300., 1500.),
c(-400., -50., 10., 50., 100.),
c(-1000., -500., -250., 0., 250., 500., 1000.))) {
dump.crs(spline.type, length(knots), knots, absorb.cons)
}
}
}
cat("\"\"\"\n")
cat(sprintf("R_crs_num_tests = %s\n", num.tests))
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