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# frozen_string_literal: true
module Prawn
# Throughout the Prawn codebase, repeated calculations which can benefit from
# caching are made. n some cases, caching and reusing results can not only
# save CPU cycles but also greatly reduce memory requirements But at the same
# time, we don't want to throw away thread safety.
# @private
class SynchronizedCache
# As an optimization, this could access the hash directly on VMs with
# a global interpreter lock (like MRI).
def initialize
@cache = {}
@mutex = Mutex.new
end
# Get cache entry.
#
# @param key [any]
# @return [any]
def [](key)
@mutex.synchronize { @cache[key] }
end
# Set cache entry.
#
# @param key [any]
# @param value [any]
# @return [void]
def []=(key, value)
@mutex.synchronize { @cache[key] = value }
end
end
end
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