__  __    __   __  _____      _            _          _____ _          _ _ 
 |  \/  |   \ \ / / |  __ \    (_)          | |        / ____| |        | | |
 | \  / |_ __\ V /  | |__) | __ ___   ____ _| |_ ___  | (___ | |__   ___| | |
 | |\/| | '__|> <   |  ___/ '__| \ \ / / _` | __/ _ \  \___ \| '_ \ / _ \ | |
 | |  | | |_ / . \  | |   | |  | |\ V / (_| | ||  __/  ____) | | | |  __/ | |
 |_|  |_|_(_)_/ \_\ |_|   |_|  |_| \_/ \__,_|\__\___| |_____/|_| |_|\___V 2.1
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"""
An unused schema registry should not cause slower validation.

"Unused" here means one where no reference resolution is occurring anyhow.

See https://github.com/python-jsonschema/jsonschema/issues/1088.
"""
from pyperf import Runner
from referencing import Registry
from referencing.jsonschema import DRAFT201909

from jsonschema import Draft201909Validator

registry = Registry().with_resource(
    "urn:example:foo",
    DRAFT201909.create_resource({})
)

schema = {"$ref": "https://json-schema.org/draft/2019-09/schema"}
instance = {"maxLength": 4}

no_registry = Draft201909Validator(schema)
with_useless_registry = Draft201909Validator(schema, registry=registry)

if __name__ == "__main__":
    runner = Runner()

    runner.bench_func(
        "no registry",
        lambda: no_registry.is_valid(instance),
    )
    runner.bench_func(
        "useless registry",
        lambda: with_useless_registry.is_valid(instance),
    )

Filemanager

Name Type Size Permission Actions
__pycache__ Folder 0755
issue232 Folder 0755
__init__.py File 70 B 0644
issue232.py File 521 B 0644
json_schema_test_suite.py File 320 B 0644
nested_schemas.py File 1.85 KB 0644
subcomponents.py File 1.09 KB 0644
unused_registry.py File 939 B 0644
validator_creation.py File 285 B 0644
Filemanager