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Splitting benchmark for numbers and complex arrays.
As part of #25 realized that numeric matchers are orders of magnitude slow not because of inherent issue within the matcher specific code, but instead because the benchmarks were stressed while checking for complex arrays (don't have a better term for this yet, think "json arrays within arrays within ..." ) After splitting the matchers into two and introducing a second PARTIAL_COMBO benchmark, I was able to identify a regression I would have introduced within the ByteMachine.java for numeric ranges. As part of this change we're also changing the citylots2.json.gz file and adding a new firstCoordinates key for numeric matching only. I tried other existing properties first but as none of them have floating points or large numbers, the benchmarks results were not matching my expectations.
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