Pablo Galindo Salgado <pablog...@gmail.com> added the comment:

With the new approach, there is no measurable different in performance:

venv ❯ pyperf compare_to json/2019-10-19_20-01-master-24dc2f8c5669.json.gz 
json/2019-10-20_01-32-suggestions2-21404456383b.json.gz -G

Slower (3):
- 2to3: 400 ms +- 2 ms -> 405 ms +- 3 ms: 1.01x slower (+1%)
- sqlite_synth: 3.46 us +- 0.08 us -> 3.50 us +- 0.08 us: 1.01x slower (+1%)
- nqueens: 121 ms +- 1 ms -> 121 ms +- 1 ms: 1.01x slower (+1%)

Faster(4):
- hexiom: 11.9 ms +- 0.1 ms -> 11.8 ms +- 0.1 ms: 1.01x faster (-1%)
- xml_etree_generate: 113 ms +- 2 ms -> 113 ms +- 2 ms: 1.01x faster (-1%)
- python_startup_no_site: 9.25 ms +- 0.06 ms -> 9.20 ms +- 0.01 ms: 1.01x 
faster (-1%)
- go: 317 ms +- 4 ms -> 315 ms +- 3 ms: 1.01x faster (-1%)
- sympy_integrate: 25.1 ms +- 0.2 ms -> 25.0 ms +- 0.1 ms: 1.01x faster (-1%)


Benchmark hidden because not significant (57): chameleon, chaos, crypto_pyaes, 
deltablue, dulwich_log, fannkuch, float, genshi_text, genshi_xml, json_dumps, 
json_loads, logging_format, logging_silent, logging_simple, mako, 
meteor_contest, nbody, pathlib, pickle, pickle_dict, pickle_list, 
pickle_pure_python, pidigits, python_startup, raytrace, regex_compile, 
regex_dna, regex_effbot, regex_v8, richards, scimark_fft, scimark_lu, 
scimark_monte_carlo, scimark_sor, scimark_sparse_mat_mult, spectral_norm, 
sqlalchemy_declarative, sqlalchemy_imperative, sympy_expand, sympy_sum, 
sympy_str, telco, unpack_sequence, unpickle, unpickle_list, 
unpickle_pure_python, xml_etree_parse, xml_etree_iterparse, xml_etree_process

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<https://bugs.python.org/issue38530>
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