test_that("v2.4", {
inference_model <- init_inference_model(
input_filename = get_fasta_filename(),
inference_model = create_test_inference_model()
)
created <- create_beast2_input_state(
inference_model = inference_model
)
expected <- unindent(
extract_xml_section_from_lines(
lines = readr::read_lines(get_beautier_path("2_4.xml")),
section = "state"
)
)
expect_equal(created, expected)
})
test_that("v2.6", {
inference_model <- init_inference_model(
input_filename = get_fasta_filename(),
inference_model = create_test_inference_model(
beauti_options = create_beauti_options_v2_6()
)
)
created <- create_beast2_input_state(
inference_model = inference_model
)
expected <- unindent(
extract_xml_section_from_lines(
lines = readr::read_lines(get_beautier_path("2_6_2.xml")),
section = "state"
)
)
expect_true(are_equivalent_xml_lines(created, expected))
})
test_that("v2.6, RLN", {
inference_model <- init_inference_model(
input_filename = get_fasta_filename(),
inference_model = create_test_inference_model(
clock_model = create_rln_clock_model(),
beauti_options = create_beauti_options_v2_6()
)
)
created <- create_beast2_input_state(
inference_model = inference_model
)
expected <- unindent(
extract_xml_section_from_lines(
lines = readr::read_lines(get_beautier_path("rln_2_6.xml")),
section = "state"
)
)
expect_true(are_equivalent_xml_lines(created, expected))
})
test_that("tipdates, v2.6", {
inference_model <- init_inference_model(
input_filename = get_fasta_filename(),
inference_model = create_test_inference_model(
tipdates_filename = get_beautier_path("test_output_0_tipdates.tsv"),
beauti_options = create_beauti_options_v2_6()
)
)
created <- create_beast2_input_state(
inference_model = inference_model
)
expected <- unindent(
extract_xml_section_from_lines(
lines = readr::read_lines(get_beautier_path("tipdates_2_6.xml")),
section = "state"
)
)
expect_true(are_equivalent_xml_lines(created, expected))
})
test_that("RLN + tipdates, v2.6", {
inference_model <- create_inference_model(
site_model = create_jc69_site_model(id = "test_output_0"),
tree_prior = create_yule_tree_prior(
id = "test_output_0",
birth_rate_distr = create_uniform_distr(id = 1)
),
clock_model = create_rln_clock_model(
id = "test_output_0",
ucldstdev_distr = create_gamma_distr(
alpha = create_alpha_param(id = 2, value = "0.5396"),
beta = create_beta_param(id = 3, value = "0.3819")
),
mparam_id = 1,
dimension = 8
),
tipdates_filename = get_beautier_path("test_output_0_tipdates.tsv"),
beauti_options = create_beauti_options_v2_6()
)
created <- create_beast2_input_state(
inference_model = inference_model
)
expected <- unindent(
extract_xml_section_from_lines(
lines = readr::read_lines(get_beautier_path("rln_tipdates_2_6.xml")),
section = "state"
)
)
expect_true(are_equivalent_xml_lines(created, expected))
})
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