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Add a YAML-parsing benchmark #342
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[project] | ||
name = "pyperformance_bm_yaml" | ||
requires-python = ">=3.8" | ||
dependencies = ["pyperf"] | ||
urls = {repository = "https://github.com/python/pyperformance"} | ||
dynamic = ["version"] | ||
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[tool.pyperformance] | ||
name = "yaml" | ||
tags = "serialize" |
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pyyaml==6.0.1 |
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""" | ||
Script for testing the performance of YAML parsing, using yaml. | ||
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This will dump/load several real world-representative objects a few thousand | ||
times. The methodology below was chosen for was chosen to be similar to | ||
real-world scenarios which operate on single objects at a time. | ||
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This explicitly tests the pure Python implementation in pyyaml, not its C | ||
extension. | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This is a helpful comment. It may be worth moving it next to the line where we take this action. I'm guessing that's the |
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The object structure is copied from the `json_load` benchmark. | ||
""" | ||
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import random | ||
import sys | ||
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import pyperf | ||
import yaml | ||
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DICT = { | ||
'ads_flags': 0, | ||
'age': 18, | ||
'bulletin_count': 0, | ||
'comment_count': 0, | ||
'country': 'BR', | ||
'encrypted_id': 'G9urXXAJwjE', | ||
'favorite_count': 9, | ||
'first_name': '', | ||
'flags': 412317970704, | ||
'friend_count': 0, | ||
'gender': 'm', | ||
'gender_for_display': 'Male', | ||
'id': 302935349, | ||
'is_custom_profile_icon': 0, | ||
'last_name': '', | ||
'locale_preference': 'pt_BR', | ||
'member': 0, | ||
'tags': ['a', 'b', 'c', 'd', 'e', 'f', 'g'], | ||
'profile_foo_id': 827119638, | ||
'secure_encrypted_id': 'Z_xxx2dYx3t4YAdnmfgyKw', | ||
'session_number': 2, | ||
'signup_id': '201-19225-223', | ||
'status': 'A', | ||
'theme': 1, | ||
'time_created': 1225237014, | ||
'time_updated': 1233134493, | ||
'unread_message_count': 0, | ||
'user_group': '0', | ||
'username': 'collinwinter', | ||
'play_count': 9, | ||
'view_count': 7, | ||
'zip': ''} | ||
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TUPLE = ( | ||
[265867233, 265868503, 265252341, 265243910, 265879514, | ||
266219766, 266021701, 265843726, 265592821, 265246784, | ||
265853180, 45526486, 265463699, 265848143, 265863062, | ||
265392591, 265877490, 265823665, 265828884, 265753032], 60) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. It may be worth it to also/instead use some real-world data, like we do for bm_tomli_loads? |
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def mutate_dict(orig_dict, random_source): | ||
new_dict = dict(orig_dict) | ||
for key, value in new_dict.items(): | ||
rand_val = random_source.random() * sys.maxsize | ||
if isinstance(key, (int, bytes, str)): | ||
new_dict[key] = type(key)(rand_val) | ||
return new_dict | ||
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random_source = random.Random(5) # Fixed seed. | ||
DICT_GROUP = [mutate_dict(DICT, random_source) for _ in range(3)] | ||
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def bench_yaml(objs): | ||
for obj in objs: | ||
yaml.load(obj, Loader=yaml.Loader) | ||
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if __name__ == "__main__": | ||
runner = pyperf.Runner() | ||
runner.metadata['description'] = "Benchmark yaml.load()" | ||
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yaml_dict = yaml.dump(DICT) | ||
yaml_tuple = yaml.dump(TUPLE) | ||
yaml_dict_group = yaml.dump(DICT_GROUP) | ||
objs = (yaml_dict, yaml_tuple, yaml_dict_group) | ||
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runner.bench_func('yaml', bench_yaml, objs, inner_loops=20) |
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