purejq 0.1.1 — performance release

2–11x faster on common workloads, with conformance unchanged (751/781 of jq's official test suite).

Benchmarks (100k objects, CPython 3.13, M-series)

workload	0.1.0	0.1.1	speedup
field-access stream	19 ms	11 ms	1.7x
filter + count	347 ms	77 ms	4.5x
map + aggregate	48 ms	24 ms	2.0x
group_by	577 ms	121 ms	4.8x
transform + sort	1035 ms	220 ms	4.7x
nested iteration + unique	697 ms	64 ms	10.9x

What changed

• Native C sorting when sort keys are uniformly strings or numbers — sort, sort_by, group_by, unique, unique_by no longer pay for Python-level comparisons in the typical case
• Scalar fast path in the comparison core used by ==, <, sort, et al.
• select, map, and not are now Python-native builtins instead of jq prelude definitions
• Constant-key object construction ({id, name, x: ...}) skips the generator product machinery
• .foo and .[] on the current input skip one generator layer

Reproduce with python3 tools/bench.py 100000 (compares against the system jq if installed).