Apply GCD bound transform to sorted numeric rangeIntoBitSet

[costin]

GCD- and delta-encoded multi-value SortedNumericDocValues decode every packed value during range evaluation. This transforms query bounds into the encoded domain and compares raw values directly, matching the recipe used for single-value NumericDocValues.

Uses the same approach as #16160 (the same utility methods are used, will be removed once that PR gets merged)

Benchmark

SortedNumericGcdRangeIntoBitSetBenchmark, 1M docs, JDK 25.0.3.

AMD EPYC 7R32 (c5a.2xlarge) — AVX2, 256-bit

cardinality	encoding	selectivity	baseline (ops/s)	candidate (ops/s)	ratio
3	delta_only	0.01	71.5	86.4	1.21x
3	delta_only	0.1	67.3	80.8	1.20x
3	delta_only	0.5	69.2	84.2	1.22x
3	gcd_1000	0.01	69.7	74.7	1.07x
3	gcd_1000	0.1	64.1	80.7	1.26x
3	gcd_1000	0.5	64.6	68.9	1.07x
3	gcd_100_delta	0.01	69.0	85.9	1.24x
3	gcd_100_delta	0.1	71.8	81.1	1.13x
3	gcd_100_delta	0.5	72.0	71.3	0.99x
5	delta_only	0.01	72.0	79.2	1.10x
5	delta_only	0.1	59.0	68.5	1.16x
5	delta_only	0.5	68.3	80.1	1.17x
5	gcd_1000	0.01	47.7	79.9	1.68x
5	gcd_1000	0.1	47.3	68.7	1.45x
5	gcd_1000	0.5	58.2	79.5	1.37x
5	gcd_100_delta	0.01	48.4	73.2	1.51x
5	gcd_100_delta	0.1	47.6	68.4	1.44x
5	gcd_100_delta	0.5	58.0	67.7	1.17x

Intel Xeon 8375C (c6i.2xlarge) — AVX-512, 512-bit

cardinality	encoding	selectivity	baseline (ops/s)	candidate (ops/s)	ratio
3	delta_only	0.01	86.3	93.0	1.08x
3	delta_only	0.1	80.1	84.0	1.05x
3	delta_only	0.5	84.6	92.2	1.09x
3	gcd_1000	0.01	74.9	92.9	1.24x
3	gcd_1000	0.1	76.3	86.3	1.13x
3	gcd_1000	0.5	78.9	88.9	1.13x
3	gcd_100_delta	0.01	74.9	93.1	1.24x
3	gcd_100_delta	0.1	76.1	86.4	1.13x
3	gcd_100_delta	0.5	72.2	89.4	1.24x
5	delta_only	0.01	78.9	85.4	1.08x
5	delta_only	0.1	78.1	79.4	1.02x
5	delta_only	0.5	81.8	84.6	1.03x
5	gcd_1000	0.01	48.6	86.1	1.77x
5	gcd_1000	0.1	47.6	79.0	1.66x
5	gcd_1000	0.5	56.4	83.4	1.48x
5	gcd_100_delta	0.01	48.7	83.3	1.71x
5	gcd_100_delta	0.1	47.9	79.1	1.65x
5	gcd_100_delta	0.5	56.6	84.3	1.49x

[sgup432]

Nice! I was also working on this and had a PR ready before I found out that you already did this! 😄