targets::tar_test("tar_stan_gq() *_fit args compat", {
skip_on_cran()
skip_if_missing_cmdstan()
skip_if_not_installed("dplyr")
file.create("x.stan")
expect_error(
tar_stan_gq(
model,
stan_files = "x.stan",
data = tar_stan_example_data(),
compile = "original",
quiet = TRUE,
stdout = R.utils::nullfile(),
variables = c("a", "b"),
variables_fit = "a"
),
class = "tar_condition_validate"
)
})
# targets::tar_test() runs the test code inside a temporary directory
# to avoid accidentally writing to the user's file space.
targets::tar_test("tar_stan_gq(compile = \"original\")", {
skip_on_cran()
skip_if_missing_cmdstan()
restore_compiled_models()
targets::tar_script({
tar_option_set(memory = "transient", garbage_collection = TRUE)
list(
tar_stan_mcmc(
model,
stan_files = "a.stan",
data = tar_stan_example_data(),
compile = "original",
quiet = TRUE,
refresh = 0,
init = 1,
iter_sampling = 20,
iter_warmup = 10,
chains = 4,
return_draws = FALSE,
return_summary = FALSE,
return_diagnostics = FALSE,
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
),
tar_stan_gq(
gq,
fitted_params = model_mcmc_a,
compile = "original",
stan_files = c("a.stan", "b.stan"),
data = model_data,
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
)
)
})
# manifest
out <- targets::tar_manifest(callr_function = NULL)
expect_equal(nrow(out), 12L)
# graph
out <- targets::tar_network(callr_function = NULL, targets_only = TRUE)$edges
out <- dplyr::arrange(out, from, to)
rownames(out) <- NULL
exp <- tibble::tribble(
~from, ~to,
"gq_data", "gq_gq_a",
"gq_data", "gq_gq_b",
"gq_file_a", "gq_gq_a",
"gq_file_b", "gq_gq_b",
"gq_gq_a", "gq_draws_a",
"gq_data", "gq_summary_a",
"gq_data", "gq_summary_b",
"gq_gq_a", "gq_summary_a",
"gq_gq_b", "gq_draws_b",
"gq_gq_b", "gq_summary_b",
"model_data", "gq_data",
"model_data", "model_mcmc_a",
"model_file_a", "model_mcmc_a",
"model_mcmc_a", "gq_gq_a",
"model_mcmc_a", "gq_gq_b"
)
exp <- dplyr::arrange(exp, from, to)
rownames(exp) <- NULL
expect_equal(out, exp)
# results
suppressWarnings(targets::tar_make(callr_function = NULL))
expect_equal(targets::tar_read(gq_file_a), "a.stan")
expect_equal(targets::tar_read(gq_file_b), "b.stan")
out <- targets::tar_read(gq_data)
expect_true(is.list(out))
expect_equal(out$n, 10L)
expect_equal(length(out$x), 10L)
expect_equal(length(out$y), 10L)
expect_true(is.numeric(out$x))
expect_true(is.numeric(out$y))
out1 <- targets::tar_read(gq_gq_a)
out2 <- targets::tar_read(gq_gq_b)
expect_true(inherits(out1, "CmdStanGQ"))
expect_true(inherits(out2, "CmdStanGQ"))
expect_true(inherits(out1$draws(), "array"))
expect_true(inherits(out2$draws(), "array"))
out1 <- targets::tar_read(gq_draws_a)
out2 <- targets::tar_read(gq_draws_b)
expect_true(tibble::is_tibble(out1))
expect_true(tibble::is_tibble(out2))
expect_equal(nrow(out1), 80L)
expect_equal(nrow(out2), 80L)
expect_true("y_rep[1]" %in% colnames(out1))
expect_true("y_rep[1]" %in% colnames(out2))
out1 <- targets::tar_read(gq_summary_a)
out2 <- targets::tar_read(gq_summary_b)
expect_true(tibble::is_tibble(out1))
expect_true(tibble::is_tibble(out2))
expect_true("y_rep[1]" %in% out1$variable)
expect_true("y_rep[1]" %in% out2$variable)
original_data <- tar_read(model_data)
y_rep <- original_data$.join_data$y_rep
expect_equal(out1$.join_data[grepl("y_rep", out1$variable)], y_rep)
# Everything should be up to date.
expect_equal(targets::tar_outdated(callr_function = NULL), character(0))
# Change the model.
write("", file = "b.stan", append = TRUE)
out <- targets::tar_outdated(callr_function = NULL)
exp <- c(
"gq_file_b",
"gq_gq_b",
"gq_draws_b",
"gq_summary_b"
)
expect_equal(sort(out), sort(exp))
# Change the data code.
targets::tar_script({
tar_option_set(memory = "transient", garbage_collection = TRUE)
list(
tar_stan_mcmc(
model,
stan_files = "a.stan",
data = tar_stan_example_data(),
compile = "original",
quiet = TRUE,
refresh = 0,
init = 1,
iter_sampling = 20,
iter_warmup = 10,
chains = 4,
return_draws = FALSE,
return_diagnostics = FALSE,
return_summary = FALSE,
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
),
tar_stan_gq(
gq,
fitted_params = model_mcmc,
compile = "original",
stan_files = c("a.stan", "b.stan"),
data = tar_stan_example_data(),
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
)
)
})
out <- targets::tar_outdated(callr_function = NULL)
exp <- c(
"gq_data",
"gq_file_b",
"gq_gq_a",
"gq_gq_b",
"gq_draws_a",
"gq_draws_b",
"gq_summary_a",
"gq_summary_b"
)
expect_equal(sort(out), sort(exp))
})
targets::tar_test("tar_stan_gq(compile = \"copy\") with custom summaries", {
skip_on_cran()
skip_if_missing_cmdstan()
skip_compile_copy()
tar_stan_example_file("a.stan")
tar_stan_example_file("b.stan")
targets::tar_script({
tar_option_set(memory = "transient", garbage_collection = TRUE)
list(
tar_stan_mcmc(
model,
stan_files = "a.stan",
data = tar_stan_example_data(),
compile = "copy",
quiet = TRUE,
refresh = 0,
iter_sampling = 1000,
iter_warmup = 500,
chains = 4,
init = 1,
return_draws = FALSE,
return_summary = FALSE,
return_diagnostics = FALSE,
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
),
tar_stan_gq(
gq,
fitted_params = model_mcmc_a,
stan_files = c("a.stan", "b.stan"),
compile = "copy",
data = model_data,
variables = "y_rep[1]",
summaries = list(~quantile(.x, probs = c(0.25, 0.75))),
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
)
)
})
# manifest
out <- targets::tar_manifest(callr_function = NULL)
expect_equal(nrow(out), 15L)
# graph
out <- targets::tar_network(callr_function = NULL, targets_only = TRUE)$edges
out <- dplyr::arrange(out, from, to)
rownames(out) <- NULL
exp <- tibble::tribble(
~from, ~to,
"gq_data", "gq_gq_a",
"gq_data", "gq_gq_b",
"gq_file_a", "gq_lines_a",
"gq_file_b", "gq_lines_b",
"gq_gq_a", "gq_draws_a",
"gq_gq_a", "gq_summary_a",
"gq_gq_b", "gq_draws_b",
"gq_gq_b", "gq_summary_b",
"gq_data", "gq_summary_a",
"gq_data", "gq_summary_b",
"gq_lines_a", "gq_gq_a",
"gq_lines_b", "gq_gq_b",
"model_data", "gq_data",
"model_data", "model_mcmc_a",
"model_file_a", "model_lines_a",
"model_lines_a", "model_mcmc_a",
"model_mcmc_a", "gq_gq_a",
"model_mcmc_a", "gq_gq_b"
)
exp <- dplyr::arrange(exp, from, to)
rownames(exp) <- NULL
expect_equal(out, exp)
# results
suppressWarnings(targets::tar_make(callr_function = NULL))
expect_equal(targets::tar_read(gq_file_a), "a.stan")
expect_equal(targets::tar_read(gq_file_b), "b.stan")
expect_equal(
targets::tar_read(model_lines_a),
readLines("a.stan")
)
expect_equal(
targets::tar_read(gq_lines_a),
readLines("a.stan")
)
expect_equal(
targets::tar_read(gq_lines_b),
readLines("b.stan")
)
out <- targets::tar_read(gq_data)
expect_true(is.list(out))
expect_equal(out$n, 10L)
expect_equal(length(out$x), 10L)
expect_equal(length(out$y), 10L)
expect_true(is.numeric(out$x))
expect_true(is.numeric(out$y))
out1 <- targets::tar_read(gq_gq_a)
out2 <- targets::tar_read(gq_gq_b)
expect_true(inherits(out1, "CmdStanGQ"))
expect_true(inherits(out2, "CmdStanGQ"))
expect_true(inherits(out1$draws(), "array"))
expect_true(inherits(out2$draws(), "array"))
out1 <- targets::tar_read(gq_draws_a)
out2 <- targets::tar_read(gq_draws_b)
expect_true(tibble::is_tibble(out1))
expect_true(tibble::is_tibble(out2))
expect_equal(nrow(out1), 4000L)
expect_equal(nrow(out2), 4000L)
expect_true("y_rep[1]" %in% colnames(out1))
expect_true("y_rep[1]" %in% colnames(out2))
expect_false("y_rep[2]" %in% colnames(out1))
expect_false("y_rep[2]" %in% colnames(out2))
out1 <- targets::tar_read(gq_summary_a)
out2 <- targets::tar_read(gq_summary_b)
expect_equal(out1$variable, "y_rep[1]")
expect_equal(out2$variable, "y_rep[1]")
expect_equal(
sort(colnames(out1)),
sort(c("variable", "25%", "75%", ".join_data"))
)
expect_equal(
sort(colnames(out2)),
sort(c("variable", "25%", "75%", ".join_data"))
)
# Everything should be up to date.
expect_equal(targets::tar_outdated(callr_function = NULL), character(0))
# Change the model.
write("", file = "b.stan", append = TRUE)
out <- targets::tar_outdated(callr_function = NULL)
exp <- c(
"gq_lines_b",
"gq_file_b",
"gq_summary_b",
"gq_draws_b",
"gq_gq_b"
)
expect_equal(sort(out), sort(exp))
# Change the data code.
targets::tar_script({
tar_option_set(memory = "transient", garbage_collection = TRUE)
list(
tar_stan_mcmc(
model,
stan_files = "a.stan",
data = tar_stan_example_data(),
compile = "copy",
quiet = TRUE,
refresh = 0,
iter_sampling = 1000,
iter_warmup = 500,
chains = 4,
init = 1,
return_draws = FALSE,
return_summary = FALSE,
return_diagnostics = FALSE,
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
),
tar_stan_gq(
gq,
fitted_params = model_mcmc_a,
stan_files = c("a.stan", "b.stan"),
compile = "copy",
data = tar_stan_example_data(),
variables = "y_rep[1]",
summaries = list(~quantile(.x, probs = c(0.25, 0.75))),
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
)
)
})
out <- targets::tar_outdated(callr_function = NULL)
exp <- c(
"gq_data",
"gq_lines_b",
"gq_file_b",
"gq_summary_a",
"gq_summary_b",
"gq_draws_a",
"gq_draws_b",
"gq_gq_a",
"gq_gq_b"
)
expect_equal(sort(out), sort(exp))
})
targets::tar_test("stan files missing", {
expect_error(
tar_stan_gq(
gq,
fitted_params = model_mcmc_a,
stan_files = c("a.stan", "b.stan"),
compile = "copy",
data = tar_stan_example_data(),
variables = "y_rep[1]",
summaries = list(~quantile(.x, probs = c(0.25, 0.75))),
stdout = R.utils::nullfile(),
stderr = R.utils::nullfile()
),
class = "tar_condition_validate"
)
})
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