anti-patterns
A repo to backup the assertions in my PyCon 2022 talk
Usage
$ pip install -r requirements.txt
$ richbench .
Results
Anti-Pattern Benchmark Suite, repeat=5, number=5
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β Pattern β Benchmark β β Min β Max β Mean β Min (+) β Max (+) β Mean (+) β
β‘βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ©
β 1 β Copy slice to Local β β 0.200 β 0.230 β 0.209 β 0.132 (33.8%) β 0.224 (2.7%) β 0.156 (25.4%) β
β 2 β Copy name to Local β β 0.117 β 0.130 β 0.122 β 0.084 (28.3%) β 0.089 (31.5%) β 0.086 (29.6%) β
β 3 β Copy dict item to Local β β 0.184 β 0.257 β 0.219 β 0.085 (53.9%) β 0.092 (64.1%) β 0.088 (59.7%) β
β 4 β Copy class attr to Local β β 0.146 β 0.149 β 0.148 β 0.058 (60.0%) β 0.060 (59.7%) β 0.059 (59.9%) β
β 5 β Importing specific name instead of namespace β β 0.000 β 0.000 β 0.000 β 0.000 (2.9%) β 0.000 (40.4%) β 0.000 (15.7%) β
β 6 β Slicing with memoryview instead of bytes β β 0.001 β 0.001 β 0.001 β 0.000 (40.0%) β 0.001 (23.0%) β 0.001 (34.9%) β
β 7 β **Kwargs for known keyword args β β 0.000 β 0.000 β 0.000 β 0.000 (38.1%) β 0.000 (29.9%) β 0.000 (35.2%) β
β 8 β Tiny Functions β β 0.000 β 0.000 β 0.000 β 0.000 (60.7%) β 0.000 (55.8%) β 0.000 (58.6%) β
β 9 β Class instead of dataclass β β 0.548 β 0.654 β 0.596 β 0.279 (49.0%) β 0.306 (53.1%) β 0.295 (50.4%) β
β 10 β Namedtuple instead of dataclass β β 0.556 β 0.648 β 0.578 β 0.394 (29.0%) β 0.539 (16.7%) β 0.432 (25.2%) β
β 11 β class instead of namedtuple β β 0.433 β 0.516 β 0.465 β 0.293 (32.3%) β 0.315 (39.0%) β 0.303 (34.9%) β
β 12 β namedtuple class instead of namedtuple β β 0.383 β 0.392 β 0.387 β 0.395 (-3.2%) β 0.422 (-7.6%) β 0.405 (-4.8%) β
β 13 β dict instead of class β β 0.288 β 0.307 β 0.294 β 0.318 (-10.6%) β 0.375 (-22.1%) β 0.345 (-17.3%) β
β 14 β class with slots β β 0.327 β 0.427 β 0.360 β 0.257 (21.4%) β 0.298 (30.3%) β 0.275 (23.7%) β
β 15 β dataclass with slots β β 0.561 β 0.611 β 0.593 β 0.523 (6.8%) β 0.588 (3.7%) β 0.552 (7.0%) β
β 16 β Using a list comprehension to filter another list β β 0.029 β 0.030 β 0.029 β 0.022 (24.7%) β 0.025 (14.8%) β 0.023 (21.6%) β
β 17 β Refactoring Try..except outside a loop β β 0.020 β 0.020 β 0.020 β 0.018 (11.0%) β 0.019 (8.4%) β 0.018 (10.6%) β
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