I ran pyperformance again on more large machine (Azure D2 -> D4) for more robust result.

$ ./python-default -m perf compare_to default.json.gz patched.json.gz -G
Slower (4):
- xml_etree_generate: 425 ms +- 18 ms -> 442 ms +- 19 ms: 1.04x slower
- call_method: 25.7 ms +- 0.9 ms -> 26.1 ms +- 1.3 ms: 1.02x slower
- xml_etree_iterparse: 345 ms +- 17 ms -> 349 ms +- 20 ms: 1.01x slower
- chameleon: 44.9 ms +- 1.9 ms -> 45.5 ms +- 2.1 ms: 1.01x slower

Faster (39):
- scimark_sor: 874 ms +- 32 ms -> 811 ms +- 33 ms: 1.08x faster
- unpickle_pure_python: 1.41 ms +- 0.07 ms -> 1.31 ms +- 0.08 ms: 1.08x faster
- raytrace: 2.19 sec +- 0.07 sec -> 2.05 sec +- 0.04 sec: 1.07x faster
- sympy_integrate: 78.3 ms +- 9.2 ms -> 73.1 ms +- 4.8 ms: 1.07x faster
- pickle_dict: 105 us +- 11 us -> 98.5 us +- 4.4 us: 1.06x faster
- html5lib: 385 ms +- 21 ms -> 362 ms +- 16 ms: 1.06x faster
- pathlib: 80.5 ms +- 5.1 ms -> 76.1 ms +- 3.4 ms: 1.06x faster
- pickle: 38.1 us +- 2.7 us -> 36.0 us +- 2.9 us: 1.06x faster
- sqlite_synth: 15.7 us +- 0.8 us -> 14.8 us +- 0.9 us: 1.06x faster
- meteor_contest: 318 ms +- 18 ms -> 301 ms +- 12 ms: 1.06x faster
- hexiom: 37.4 ms +- 1.9 ms -> 35.5 ms +- 1.8 ms: 1.05x faster
- telco: 34.6 ms +- 2.1 ms -> 32.9 ms +- 1.4 ms: 1.05x faster
- go: 957 ms +- 35 ms -> 914 ms +- 36 ms: 1.05x faster
- regex_compile: 702 ms +- 24 ms -> 671 ms +- 23 ms: 1.05x faster
- regex_dna: 421 ms +- 14 ms -> 403 ms +- 15 ms: 1.04x faster
- genshi_xml: 314 ms +- 9 ms -> 301 ms +- 13 ms: 1.04x faster
- tornado_http: 664 ms +- 29 ms -> 636 ms +- 27 ms: 1.04x faster
- sqlalchemy_imperative: 103 ms +- 9 ms -> 98.6 ms +- 7.8 ms: 1.04x faster
- dulwich_log: 265 ms +- 16 ms -> 254 ms +- 10 ms: 1.04x faster
- richards: 291 ms +- 15 ms -> 279 ms +- 14 ms: 1.04x faster
- json_dumps: 45.2 ms +- 2.5 ms -> 43.5 ms +- 1.8 ms: 1.04x faster
- scimark_lu: 768 ms +- 40 ms -> 738 ms +- 32 ms: 1.04x faster
- mako: 65.9 ms +- 3.9 ms -> 63.4 ms +- 2.1 ms: 1.04x faster
- logging_simple: 52.9 us +- 3.5 us -> 51.0 us +- 2.0 us: 1.04x faster
- regex_effbot: 7.64 ms +- 0.48 ms -> 7.36 ms +- 0.43 ms: 1.04x faster
- pickle_pure_python: 2.08 ms +- 0.13 ms -> 2.01 ms +- 0.09 ms: 1.04x faster
- scimark_monte_carlo: 414 ms +- 26 ms -> 399 ms +- 20 ms: 1.04x faster
- unpack_sequence: 196 ns +- 11 ns -> 189 ns +- 6 ns: 1.04x faster
- logging_silent: 1.17 us +- 0.07 us -> 1.13 us +- 0.05 us: 1.04x faster
- sympy_expand: 1.68 sec +- 0.06 sec -> 1.62 sec +- 0.06 sec: 1.03x faster
- call_simple: 20.9 ms +- 1.0 ms -> 20.3 ms +- 0.9 ms: 1.03x faster
- nqueens: 411 ms +- 19 ms -> 401 ms +- 19 ms: 1.03x faster
- sympy_str: 762 ms +- 29 ms -> 743 ms +- 23 ms: 1.03x faster
- pidigits: 488 ms +- 18 ms -> 476 ms +- 12 ms: 1.02x faster
- logging_format: 62.2 us +- 3.2 us -> 60.8 us +- 3.0 us: 1.02x faster
- sympy_sum: 351 ms +- 18 ms -> 343 ms +- 16 ms: 1.02x faster
- spectral_norm: 413 ms +- 21 ms -> 405 ms +- 18 ms: 1.02x faster
- float: 464 ms +- 18 ms -> 456 ms +- 19 ms: 1.02x faster
- python_startup_no_site: 15.2 ms +- 0.8 ms -> 15.0 ms +- 0.7 ms: 1.01x faster

Benchmark hidden because not significant (21): 2to3, call_method_slots, call_method_unknown, chaos, crypto_pyaes, deltablue, django_template, fannkuch, genshi_text, json_loads, nbody, pickle_list, python_startup, regex_v8, scimark_fft, scimark_sparse_mat_mult, sqlalchemy_declarative, unpickle, unpickle_list, xml_etree_parse, xml_etree_process