Humans repeat stuff. Caching helps.
.
Normal caching policies like LRU aren't well suited for analytic computations
where both the cost of recomputation and the cost of storage routinely vary by
one million or more.
.
Cachey tries to hold on to values that have the following characteristics
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1. Expensive to recompute (in seconds)
2. Cheap to store (in bytes)
3. Frequently used
4. Recenty used
Installed Size: 34.8 kB
Architectures: all