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Lee Dogeon
99a63f92aa
Add dependency-free CPU-bound workloads adapted from pyperformance 1.14.0 to cover interpreter, standard-library serialization, regex, numeric, and garbage-collection paths under the existing Criterion and CodSpeed harnesses. Keep inputs deterministic and scale expensive cases for simulation while checking that benchmark execution does not leak interpreter state. Assisted-by: Codex:gpt-5.6-sol
35 lines
946 B
Python
35 lines
946 B
Python
# Adapted from python/pyperformance 1.14.0 (base64).
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"""Exercise the base64 module's primary public APIs."""
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import base64
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import random
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random_source = random.Random(12345)
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data_tiny = random_source.randbytes(20)
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data_small = random_source.randbytes(127)
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data_medium = random_source.randbytes(3072)
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data_large = random_source.randbytes(9000)
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cases = (
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(data_tiny, 45),
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(data_small, 7),
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(data_medium, 1),
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(data_large, 1),
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)
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def exercise(encode, decode):
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for data, count in cases:
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encoded = encode(data)
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for _ in range(count):
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assert decode(encode(data)) == data
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assert decode(encoded) == data
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exercise(base64.b64encode, base64.b64decode)
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exercise(base64.urlsafe_b64encode, base64.urlsafe_b64decode)
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exercise(base64.b32encode, base64.b32decode)
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exercise(base64.b16encode, base64.b16decode)
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exercise(base64.a85encode, base64.a85decode)
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exercise(base64.b85encode, base64.b85decode)
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