Historical app ops.

This change is the main check in for the historical app op feature.
The idea is to store a historical data about past app op rejections,
accesses, and durations per op for any UID state indefinitely.

Keeping all operations on record is not practical as app ops are
very frequently performed. To address this we are storing aggregated
data as snapshots where we store for every UID and its packages
how many times each op was accessed, rejected, lasted as an aggregate.

To allow history scaling indefinitely we are taking a logarithmic
approach with only the most recent state stored in memory and all
preceding state stored on disk. State on disk is stored in separate
files where each preceding file, i.e. for an older period, would
cover X times longer period with X number of snapshots covering
X times longer period. Initially X is ten but can be tweaked. For
example, the first file could contain data for ten days with daily
snapshots, while the file for older period would have data
for a hundred days with snapshots every ten days, etc.

The implementation is optimized for fast history update and no impact
on system runtime performance and minimizing memory footprint. We
are lazily persisting state to disk on a dedicated thread as this is
slow. We are also reading the relevant historical files on a query
as this is very rare as opposed to state updates.

The base snapshot interval, i.e. snapshot time span, in the initial
iteration and the logarithmic step are configurable. These can be
changed dynamically and the history would be rewriten to take this
into account.

Test: atest CtsAppOpsTestCases

bug:111061782

Change-Id: I55c32c79911ba12b2ace58d2a782b8df1e6bff60