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# Build atlas fixtures through ggseg.formats' exported constructors so tests
# exercise ggseg3d behaviour without depending on ggseg.formats' internal S3
# layout. Tests supply the meaningful data (core, vertices, meshes, ...) and
# these helpers assemble a valid ggseg_atlas.
cerebellar_atlas_fixture <- function(
core,
vertices = NULL,
meshes = NULL,
palette,
atlas = "test_cerebellar"
) {
ggseg_atlas(
atlas = atlas,
type = "cerebellar",
core = core,
data = ggseg_data_cerebellar(vertices = vertices, meshes = meshes),
palette = palette
)
}
# Minimal cerebellar atlas used by the visual/snapshot tests so they do not
# depend on external atlas packages.
make_test_cerebellar_atlas <- function() {
vertices_data <- data.frame(
label = c("left_I-IV", "right_I-IV"),
stringsAsFactors = FALSE
)
vertices_data$vertices <- list(0L:99L, 100L:199L)
cerebellar_atlas_fixture(
core = data.frame(
label = c("left_I-IV", "right_I-IV"),
region = c("I-IV", "I-IV"),
hemi = c("left", "right"),
stringsAsFactors = FALSE
),
vertices = vertices_data,
palette = c("left_I-IV" = "#FF0000", "right_I-IV" = "#00FF00")
)
}
subcortical_atlas_fixture <- function(
core,
meshes,
palette,
atlas = "test_subcortical"
) {
ggseg_atlas(
atlas = atlas,
type = "subcortical",
core = core,
data = ggseg_data_subcortical(meshes = meshes),
palette = palette
)
}
tract_atlas_fixture <- function(
core,
centerlines = NULL,
meshes = NULL,
palette,
atlas = "test_tract"
) {
ggseg_atlas(
atlas = atlas,
type = "tract",
core = core,
data = ggseg_data_tract(centerlines = centerlines, meshes = meshes),
palette = palette
)
}
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