o tBh @sFdZddlZddlmZddlmZGdddZddZd d ZdS) azglobal_random_seed fixture The goal of this fixture is to prevent tests that use it to be sensitive to a specific seed value while still being deterministic by default. See the documentation for the SKLEARN_TESTS_GLOBAL_RANDOM_SEED variable for insrtuctions on how to use this fixture. https://scikit-learn.org/dev/computing/parallelism.html#sklearn-tests-global-random-seed N)environ)Randomc@seZdZdddZdS) XDistHooksreturnNcCs|jd}||jd<dS)N random_seeds)config getoption workerinput)selfnoderr p/var/www/html/riverr-enterprise-integrations-main/venv/lib/python3.10/site-packages/sklearn/tests/random_seed.pypytest_configure_nodes z XDistHooks.pytest_configure_node)rN)__name__ __module__ __qualname__rr r r r rsrcs|jdr |jtttd}td}t|dr(d|j vr(|j dnL|dur0dgnD|dkr.GlobalRandomSeedPlugin)paramscss|jVdS)aFixture to ask for a random yet controllable random seed. All tests that use this fixture accept the contract that they should deterministically pass for any seed value from 0 to 99 included. See the documentation for the SKLEARN_TESTS_GLOBAL_RANDOM_SEED variable for insrtuctions on how to use this fixture. https://scikit-learn.org/dev/computing/parallelism.html#sklearn-tests-global-random-seed N)param)r requestr r r global_random_seed8s zCpytest_configure..GlobalRandomSeedPlugin.global_random_seedN)rrrpytestfixturerr rr r GlobalRandomSeedPlugin7s r") pluginmanager haspluginregisterrlistrangergethasattrr rchoicesplitintminmax ValueErroroptionr)rRANDOM_SEED_RANGErandom_seed_varstartstopr"r r!r pytest_configures2     r5cCs0td}|dkrdd|jjdddgSdS)NrrzCTo reproduce this test run, set the following environment variable:z& SKLEARN_TESTS_GLOBAL_RANDOM_SEED="r"z]See: https://scikit-learn.org/dev/computing/parallelism.html#sklearn-tests-global-random-seed)rr(r0r)rr2r r r pytest_report_headerIs r7) __doc__rosrrandomrrr5r7r r r r s   2