Nothing

```
context('basic bridge sampling behavior normal Rcpp parallel')
test_that("bridge sampler matches anlytical value normal example", {
testthat::skip_on_cran()
testthat::skip_on_travis()
# library(bridgesampling)
library(mvtnorm)
if(require(RcppEigen)) {
x <- rmvnorm(1e4, mean = rep(0, 2), sigma = diag(2))
colnames(x) <- c("x1", "x2")
lb <- rep(-Inf, 2)
ub <- rep(Inf, 2)
names(lb) <- names(ub) <- colnames(x)
Rcpp::sourceCpp(file = "unnormalized_normal_density.cpp")
Rcpp::sourceCpp(file = "unnormalized_normal_density.cpp", env = .GlobalEnv)
bridge_normal <- bridge_sampler(samples = x, log_posterior = "log_densityRcpp",
data = NULL, lb = lb, ub = ub,
method = "normal", packages = "RcppEigen",
rcppFile = "unnormalized_normal_density.cpp",
cores = 2, silent = TRUE)
bridge_warp3 <- bridge_sampler(samples = x, log_posterior = "log_densityRcpp",
data = NULL, lb = lb, ub = ub,
method = "warp3", packages = "RcppEigen",
rcppFile = "unnormalized_normal_density.cpp",
cores = 2, silent = TRUE)
expect_equal(bridge_normal$logml, expected = log(2*pi), tolerance = 0.01)
expect_equal(bridge_warp3$logml, expected = log(2*pi), tolerance = 0.01)
# test dots argument
mu <- c(1, 2)
x <- rmvnorm(1e4, mean = mu, sigma = diag(2))
colnames(x) <- c("x1", "x2")
lb <- rep(-Inf, 2)
ub <- rep(Inf, 2)
names(lb) <- names(ub) <- colnames(x)
Rcpp::sourceCpp(file = "unnormalized_normal_density_mu.cpp")
Rcpp::sourceCpp(file = "unnormalized_normal_density_mu.cpp", env = .GlobalEnv)
bridge_normal_dots <- bridge_sampler(samples = x, log_posterior = "log_densityRcpp_mu",
mu, data = NULL, lb = lb, ub = ub,
method = "normal", packages = "RcppEigen",
rcppFile = "unnormalized_normal_density_mu.cpp",
cores = 2, silent = TRUE)
bridge_warp3_dots <- bridge_sampler(samples = x, log_posterior = "log_densityRcpp_mu",
mu, data = NULL, lb = lb, ub = ub,
method = "warp3", packages = "RcppEigen",
rcppFile = "unnormalized_normal_density_mu.cpp",
cores = 2, silent = TRUE)
expect_equal(bridge_normal_dots$logml, expected = log(2*pi), tolerance = 0.01)
expect_equal(bridge_warp3_dots$logml, expected = log(2*pi), tolerance = 0.01)
}
})
```

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