知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""
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Validating highly nested schemas shouldn't cause exponential time blowups.
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See https://github.com/python-jsonschema/jsonschema/issues/1097.
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"""
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from itertools import cycle
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from jsonschema.validators import validator_for
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metaschemaish = {
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"$id": "https://example.com/draft/2020-12/schema/strict",
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$vocabulary": {
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"https://json-schema.org/draft/2020-12/vocab/core": True,
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"https://json-schema.org/draft/2020-12/vocab/applicator": True,
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"https://json-schema.org/draft/2020-12/vocab/unevaluated": True,
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"https://json-schema.org/draft/2020-12/vocab/validation": True,
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"https://json-schema.org/draft/2020-12/vocab/meta-data": True,
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"https://json-schema.org/draft/2020-12/vocab/format-annotation": True,
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"https://json-schema.org/draft/2020-12/vocab/content": True,
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},
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"$dynamicAnchor": "meta",
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"$ref": "https://json-schema.org/draft/2020-12/schema",
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"unevaluatedProperties": False,
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}
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def nested_schema(levels):
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"""
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Produce a schema which validates deeply nested objects and arrays.
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"""
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names = cycle(["foo", "bar", "baz", "quux", "spam", "eggs"])
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schema = {"type": "object", "properties": {"ham": {"type": "string"}}}
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for _, name in zip(range(levels - 1), names):
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schema = {"type": "object", "properties": {name: schema}}
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return schema
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validator = validator_for(metaschemaish)(metaschemaish)
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if __name__ == "__main__":
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from pyperf import Runner
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runner = Runner()
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not_nested = nested_schema(levels=1)
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runner.bench_func("not nested", lambda: validator.is_valid(not_nested))
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for levels in range(1, 11, 3):
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schema = nested_schema(levels=levels)
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runner.bench_func(
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f"nested * {levels}",
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lambda schema=schema: validator.is_valid(schema),
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)
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