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#' File whose name starts with `shared-` will be automatically
#' loaded by the pipeline. Hence you can put global static objects
#' here, for example,
#' - define functions that may be used multiple times,
#' - declare variables that can be re-used
#' - import packages that will be used via `library()`, or `targets::tar_option_set` (see below)
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# Set pipeline options
targets::tar_option_set(
# R libraries to load
packages = c("raveio")
# memory strategy.
# "persistent": the target stays in memory until the end of the pipeline
# unless storage is "worker", in which case targets unloads the value
# from memory right after storing it in order to avoid sending copious
# data over a network.
# "transient": the target gets unloaded after every new target completes.
# The former conserves bandwidth, and the latter conserves local storage.
# memory = 'persistent'
# When `scheduler` is "future" or "clustermq":
# "main": the target's return value is sent back to the host machine and
# saved/uploaded locally.
# "worker": the worker saves/uploads the value.
#
# Set to worker if your nodes might generate large amount of data
# storage = 'worker'
# When `scheduler` is "future" or "clustermq":
# "main": the target's dependencies are loaded on the host machine and sent
# to the worker before the target builds.
# "worker": the worker loads the targets dependencies.
# retrieval = "worker"
)
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