revset: use `subset &` in `divergent` This takes advantage of the `fullreposet` smartness. revset #0: divergent() 0) wall 0.002047 comb 0.000000 user 0.000000 sys 0.000000 (best of 813) 1) wall 0.000052 comb 0.000000 user 0.000000 sys 0.000000 (best of 22757)

revset: use `subset &` in `bisect` This takes advantage of the `fullreposet` smartness. revset #0: bisect(range) 0) wall 0.014007 comb 0.010000 user 0.010000 sys 0.000000 (best of 115) 1) wall 0.005556 comb 0.010000 user 0.010000 sys 0.000000 (best of 235)

revset: use `subset &` in `ancestorspec` This takes advantage of the `fullreposet` smartness. revset #0: tip~25 0) wall 0.004800 comb 0.010000 user 0.010000 sys 0.000000 (best of 259) 1) wall 0.002475 comb 0.000000 user 0.000000 sys 0.000000 (best of 717)

revset: use `subset &` in `bookmark` Speedup, Weeeeeee! revset #0: bookmark() 0) wall 0.002240 comb 0.000000 user 0.000000 sys 0.000000 (best of 571) 1) wall 0.000132 comb 0.000000 user 0.000000 sys 0.000000 (best of 14059)

revset: use `subset &` in `outgoing` This should give us the same benefit as elsewhere. Result is simpler (and "faster"). Outgoing is dominated by the discovery so no benchmark is provided.

revset: avoid in loop lookup in _generatorset._consumegen Python lookups are slow, so do all lookup outside of the for loop. This provide a small but still significant speedup: revset #0: 0:: 0) wall 0.063258 comb 0.060000 user 0.060000 sys 0.000000 (best of 100) 1) wall 0.057776 comb 0.050000 user 0.050000 sys 0.000000 (best of 100)

revset: reduce dict lookup in lazyset.__contains__ Avoid an extra dict lookup when we have to compute the value. No visible performance impact but this shaves the yak a few extra nanometers.