# a list of settings
settings <- list(extent = list(polygons = "sa_ibrasub_xn"
, filt_col = NULL
, filt_level = NULL
, buffer = 0
, temp_ext = "P50Y"
)
, grain = list(x = 90
, y = 90
, z = "P50Y"
, taxonomic = "species"
)
, reliability = list(rel_geo = 10000
, rel_temp = "P10Y"
)
, aoi = list(polygons = "lsa"
, filt_col = "LSA"
, filt_level = "GA"
, buffer = 0
)
)
# generate an 'out directory' based on those settings
settings$out_dir <- name_env_out(set_list = settings#[1:4]
, base_dir = here::here("inst", "examples")
, dir_with_context = TRUE
)$path
settings$out_dir
# create the 'out directory'
fs::dir_create(settings$out_dir)
# put some junk files in the 'out directory'
purrr::map(1:10
, \(x) tempfile(tmpdir = settings$out_dir)
) %>%
fs::file_create()
# use name_env_out to return the list of files, based on the settings
files <- name_env_out(set_list = settings[1:4]
, base_dir = here::here("inst", "examples")
, dir_with_context = TRUE
, all_files = TRUE
# dots
, recurse = TRUE
) %>%
tidyr::unnest(cols = c(files)
, keep_empty = TRUE
)
files
# clean up
# fs::dir_delete(settings$out_dir) # only run this if you're sure it is safe
rm(settings, files)
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