[query] Normalize options for aggregated histograms

[arnikola]

What this PR does / why we need it:
Due to the way the aggregator and prom style histograms interact, there is an edge case where histogram bucket datapoints arrive with slight drift; this is fine and should not impact data quality, but can lead to counter resets which cause incorrect and unpredictable behavior when querying. This PR gathers all aggregated histograms by series, then normalizes them in such a way that bucket value at each timestamp is monotonically increasing across le tags (when viewed in descending le size; i.e. +Inf should always have a smaller value than 0.1)

TODO:

• test for histogram gathering
• integration test
• criteria for normalizing counter series

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 55.9%. Comparing base (28c1d95) to head (81da16a).
⚠️ Report is 542 commits behind head on master.

Additional details and impacted files

@@           Coverage Diff            @@
##           master   #3556     +/-   ##
========================================
- Coverage    56.2%   55.9%   -0.4%     
========================================
  Files         550     550             
  Lines       61886   61506    -380     
========================================
- Hits        34799   34391    -408     
- Misses      23992   24006     +14     
- Partials     3095    3109     +14     

Flag	Coverage Δ
aggregator	57.1% <ø> (ø)
cluster	∅ <ø> (∅)
collector	54.3% <ø> (ø)
dbnode	60.3% <ø> (-0.5%)	⬇️
m3em	46.4% <ø> (ø)
metrics	19.8% <ø> (ø)
msg	74.4% <ø> (ø)

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