Nothing
# tests whether an error is thrown when the partial solution and fixed species parameters do not fit
context("min_conf_errors")
library(dplyr)
testdata <- data.frame("1" = c(0,0,0,1,0,0),
"2" = c(0,0,1,0,0,0),
"3" = c(1,0,0,0,1,0),
"4" = c(0,0,1,0,0,1),
"5" = c(1,1,1,1,1,0))
partial_solution_fixed <- data.frame("1" = c(0,0,0,0,0,0),
"2" = c(0,0,0,0,0,0),
"3" = c(0,0,0,0,0,0),
"4" = c(0,0,0,0,0,0),
"5" = c(1,1,1,1,1,1)) %>% as.matrix()
partial_solution <- data.frame("1" = c(0,0,0,0,0,0),
"2" = c(0,0,0,0,0,0),
"3" = c(0,0,0,0,0,0),
"4" = c(0,0,0,0,0,0)) %>% as.matrix()
fixed_species <- data.frame("1" = c(0,0,0,0,0,0),
"2" = c(0,0,1,0,0,0),
"3" = c(1,0,0,0,1,0),
"4" = c(0,0,1,0,0,1),
"5" = c(1,1,1,1,1,1),
"6" = c(1,0,0,0,1,0)) %>% as.matrix()
alpha_list_test <- testdata %>% summarise_all(sum) %>% as.numeric()
total_gamma_test <- testdata %>% filter_all(any_vars(sum(.) != 0)) %>% nrow()
target_matrix_test <- testdata %>% as.matrix() %>% spectre:::calculate_solution_commonness_rcpp()
expect_error(
run_optimization_min_conf(alpha_list = alpha_list_test,
total_gamma = total_gamma_test,
target = target_matrix_test,
partial_solution = partial_solution,
max_iterations = 0,
verbose = FALSE),
regexp = "The size of the partial_solution vector does not match n_sites * gamma_div. partial_solution ignored.",
fixed = TRUE)
expect_error(
run_optimization_min_conf(alpha_list = alpha_list_test,
total_gamma = total_gamma_test,
target = target_matrix_test,
partial_solution = partial_solution_fixed,
fixed_species = fixed_species,
max_iterations = 0,
verbose = FALSE),
"The size of the fixed_species vector does not match n_sites * gamma_div. fixed_species ignored.",
fixed = TRUE)
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