gevent / gevent / 2572

84%

master: 78%

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travis-ci

Speed up Greenlet creation on CPython

Two ways: store tuples instead of _frame objects and use direct access
to two of the attributes of the CPython frame objects.

Benchmarks:

+------------------------+-----------------+------------------------------+
| Benchmark              | spawn_27_master | spawn_27_tuple2              |
+========================+=================+==============================+
| eventlet sleep         | 9.12 us         | 8.77 us: 1.04x faster (-4%)  |
+------------------------+-----------------+------------------------------+
| gevent spawn           | 14.5 us         | 13.2 us: 1.10x faster (-9%)  |
+------------------------+-----------------+------------------------------+
| gevent sleep           | 1.63 us         | 1.86 us: 1.14x slower (+14%) |
+------------------------+-----------------+------------------------------+
| geventpool spawn       | 30.4 us         | 23.6 us: 1.29x faster (-22%) |
+------------------------+-----------------+------------------------------+
| geventpool sleep       | 4.30 us         | 4.55 us: 1.06x slower (+6%)  |
+------------------------+-----------------+------------------------------+
| geventpool join        | 1.70 us         | 1.83 us: 1.08x slower (+8%)  |
+------------------------+-----------------+------------------------------+
| gevent spawn kwarg     | 16.5 us         | 13.5 us: 1.22x faster (-18%) |
+------------------------+-----------------+------------------------------+
| geventpool spawn kwarg | 30.5 us         | 23.9 us: 1.27x faster (-22%) |
+------------------------+-----------------+------------------------------+

Not significant (7): eventlet spawn; geventraw spawn; geventraw sleep;
none spawn; eventlet spawn kwarg; geventraw spawn kwarg; none spawn
kwarg

+------------------------+-----------------+------------------------------+
| Benchmark              | spawn_36_master | spawn_36_tuple2              |
+========================+=================+===================... (continued)

29 of 29 new or added lines in 1 file covered. (100.0%)

8988 of 10759 relevant lines covered (83.54%)

2.01 hits per line