t:i SrSSKrSSKJr SSKJrJrJr SSKJ r J r J r J r SSK Jr "SS \5r\ SSSS S S .S \S\S\\S\\S\\S\S\S\\\\44Sjj5rg)z4XGBoost Experimental Federated Learning related API.N)Thread)AnyDictOptional)_LIB _check_call_deprecate_positional_args make_jcargs) RabitTrackercl\rSrSrSr\SSSSS.S\S\S\S \\ S \\ S \\ S \S S4Sjj5r Sr g)FederatedTracker aTracker for federated training. Parameters ---------- n_workers : The number of federated workers. port : The port to listen on. secure : Whether this is a secure instance. If True, then the following arguments for SSL must be provided. server_key_path : Path to the server private key file. server_cert_path : Path to the server certificate file. client_cert_path : Path to the client certificate file. N,)server_key_pathserver_cert_pathclient_cert_pathtimeout n_workersportsecurerrrrreturnc [R"5n[UUSUUUU[U5S9n [ [ R "U [R"U555 Xlg)N federated)rrdmlc_communicatorfederated_securerrrr) ctypesc_void_pr intr rXGTrackerCreatebyrefhandle) selfrrrrrrrr"argss T/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/xgboost/federated.py__init__FederatedTracker.__init__%s[")#+--L   D((v||F/CDE )r") __name__ __module__ __qualname____firstlineno____doc__r rboolrstrr&__static_attributes__r(r%rr s2 *.*.*.   "# #3-#3-  r(rTr)rrrblockingrrrrrrr2rrc 6SU0n[SX#U455n[UUUUUUUS9n U R5 U(aU R5 g[ U RS9n SU lU R5 UR U R55 U$)a`See :py:class:`~xgboost.federated.FederatedTracker` for more info. Parameters ---------- blocking : Block the server until the training is finished. If set to False, the function launches an additional thread and returns the worker arguments. The default is True and a higher level framework is responsible for setting worker parameters. rc3*# UH nUSLv M g7f)Nr1).0paths r% 'run_federated_server..VsID DIs)rrrrrrrN)targetT)allrstartwait_forrdaemonupdate worker_args) rrrrrr2rr$rtrackerthreads r%run_federated_serverrB@s*(3D $8HIF '))G MMO 7++ ,FFM LLNKK##%& Kr()r-r threadingrtypingrrrcorerr r r r@r rrr/r.rBr1r(r%rFs: &&LL!2|2j &*&*&*,, ,c] , sm , sm ,,,d38n,,r(