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@markshannon
Created October 25, 2022 15:39
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Benchmark 2022-09-13_08-28-main-49cceeb5c998 2022-10-23_09-32-for-iter-no-pop-d5dd9b40545f
unpack_sequence 81.0 ns 74.9 ns: 1.08x faster
scimark_sor 196 ms 187 ms: 1.05x faster
logging_silent 163 ns 157 ns: 1.04x faster
scimark_monte_carlo 112 ms 108 ms: 1.04x faster
spectral_norm 171 ms 164 ms: 1.04x faster
deltablue 5.57 ms 5.40 ms: 1.03x faster
richards 76.2 ms 74.3 ms: 1.03x faster
raytrace 476 ms 465 ms: 1.03x faster
scimark_fft 553 ms 540 ms: 1.02x faster
mako 17.3 ms 16.9 ms: 1.02x faster
pickle_pure_python 478 us 468 us: 1.02x faster
nbody 156 ms 152 ms: 1.02x faster
unpickle_pure_python 344 us 338 us: 1.02x faster
pathlib 30.5 ms 29.9 ms: 1.02x faster
go 222 ms 218 ms: 1.02x faster
regex_effbot 6.10 ms 6.02 ms: 1.01x faster
scimark_lu 184 ms 181 ms: 1.01x faster
float 124 ms 122 ms: 1.01x faster
chameleon 10.8 ms 10.7 ms: 1.01x faster
django_template 54.8 ms 54.2 ms: 1.01x faster
pickle_list 6.89 us 6.81 us: 1.01x faster
sympy_sum 277 ms 274 ms: 1.01x faster
regex_v8 36.6 ms 36.3 ms: 1.01x faster
regex_compile 215 ms 214 ms: 1.01x faster
sympy_str 471 ms 469 ms: 1.00x faster
pickle_dict 49.9 us 49.7 us: 1.00x faster
python_startup_no_site 10.4 ms 10.4 ms: 1.00x faster
python_startup 14.1 ms 14.1 ms: 1.00x faster
2to3 410 ms 409 ms: 1.00x faster
pidigits 317 ms 318 ms: 1.00x slower
hexiom 10.1 ms 10.2 ms: 1.01x slower
pyflate 667 ms 671 ms: 1.01x slower
sqlite_synth 4.17 us 4.20 us: 1.01x slower
telco 10.9 ms 11.0 ms: 1.01x slower
pickle 17.2 us 17.4 us: 1.01x slower
chaos 110 ms 111 ms: 1.01x slower
meteor_contest 170 ms 172 ms: 1.01x slower
xml_etree_process 91.1 ms 92.3 ms: 1.01x slower
unpickle_list 7.97 us 8.08 us: 1.01x slower
scimark_sparse_mat_mult 6.69 ms 6.80 ms: 1.02x slower
genshi_xml 83.7 ms 85.2 ms: 1.02x slower
xml_etree_parse 246 ms 251 ms: 1.02x slower
json_dumps 16.7 ms 17.0 ms: 1.02x slower
sqlalchemy_imperative 28.3 ms 28.8 ms: 1.02x slower
nqueens 134 ms 137 ms: 1.02x slower
xml_etree_iterparse 164 ms 168 ms: 1.02x slower
logging_simple 9.93 us 10.2 us: 1.03x slower
logging_format 10.8 us 11.1 us: 1.03x slower
regex_dna 351 ms 360 ms: 1.03x slower
genshi_text 35.3 ms 36.7 ms: 1.04x slower
Geometric mean (ref) 1.00x faster

Benchmark hidden because not significant (11): html5lib, json_loads, sympy_expand, dulwich_log, sympy_integrate, tornado_http, unpickle, crypto_pyaes, sqlalchemy_declarative, fannkuch, xml_etree_generate

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