library(testthat)
context("test convolution")
# test_that("matrix 3x3 of ones gives desired result", {
# A <- ones(3)
# result <- m.convn(A, A)
# expected <- rbind(
# c(1, 2, 3, 2, 1),
# c(2, 4, 6, 4, 2),
# c(3, 6, 9, 6, 3),
# c(2, 4, 6, 4, 2),
# c(1, 2, 3, 2, 1)
# )
# expect_equal(expected, result)
# })
#
#
#
#
# test_that("matrix of ones is converted to array", {
# X = ones(3) # doesn't work because it is a matrix
# result <- m.conv3d(X, X)
# expected <- rbind(
# c(1, 2, 3, 2, 1),
# c(2, 4, 6, 4, 2),
# c(3, 6, 9, 6, 3),
# c(2, 4, 6, 4, 2),
# c(1, 2, 3, 2, 1) )
#
# expect_equal(result, expected)
# })
#
#
#
# test_that("array of ones 5x4x3 gives correct result", {
# C = ones(5, 4, 3)
# # print(C)
# result <- m.conv3d(C, C)
# expected <- array(simplify2array(read.table(header = FALSE, sep = ",",
# file = "convn_5x4x3.txt")), dim=c(9,7,5))
# # print(expected)
# # print(result)
# expect_equal(expected, result)
#
#
# })
#
# test_that("array of ones 4x3x2 gives correct result", {
# Y = ones(4,3,2)
# result <- m.conv3d(Y, Y)
# expected <- array(simplify2array(read.table(header = FALSE, sep = ",",
# file = "convn_4x3x2.txt")), dim=c(7,5,3))
# expect_equal(expected, result)
# })
test_that("different size arrays work", {
A = ones(3,3,1)
B = ones(4,3,2)
C <- m.conv3d(A, B)
# print(C)
})
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