python: very slow performance due to excessive reconfiguration in modells

What happened (please include outputs or screenshots):

Running this simple script in a big cluster takes about 30 seconds to execute:

import kubernetes as k8s
k8s.config.load_kube_config()
apps = k8s.client.AppsV1Api()
print(k8s.__version__)
print(len(apps.list_replica_set_for_all_namespaces().items))

time python3 script:
24.2.0
3661

real	0m32.394s
user	0m17.764s
sys	0m11.235s

as you see it has very high system cpu usage running this under a profiler shows following interesting things:

    957/1    0.002    0.000   32.177   32.177 {built-in method builtins.exec}
        1    0.173    0.173   32.177   32.177 test.py:1(<module>)
        1    0.000    0.000   31.563   31.563 apps_v1_api.py:3804(list_replica_set_for_all_namespaces)
        1    0.000    0.000   31.563   31.563 apps_v1_api.py:3838(list_replica_set_for_all_namespaces_with_http_info)
        1    0.000    0.000   31.563   31.563 api_client.py:305(call_api)
        1    0.018    0.018   31.563   31.563 api_client.py:120(__call_api)
        1    0.000    0.000   28.090   28.090 api_client.py:244(deserialize)
 780711/1    0.997    0.000   27.281   27.281 api_client.py:266(__deserialize)
 190593/1    0.934    0.000   27.281   27.281 api_client.py:620(__deserialize_model)
  36658/1    0.078    0.000   27.281   27.281 api_client.py:280(<listcomp>)
   190594    0.839    0.000   22.939    0.000 configuration.py:75(__init__)
   190594    0.108    0.000   10.911    0.000 context.py:41(cpu_count)
   190594   10.803    0.000   10.803    0.000 {built-in method posix.cpu_count}
   190597    0.300    0.000    8.327    0.000 configuration.py:253(debug)
   381195    0.216    0.000    7.443    0.000 __init__.py:1448(setLevel)
   381195    4.364    0.000    7.117    0.000 __init__.py:1403(_clear_cache)
...

190594 10.803 0.000 10.803 0.000 {built-in method posix.cpu_count} 10 seconds are spent running multiprocessing.cpu_count which accounts for most of the system usage

381195 0.216 0.000 7.443 0.000 __init__.py:1448(setLevel) 7 seconds are spent configuring logging

looking at what causes this appears to be following line in every model:

        if local_vars_configuration is None:
            local_vars_configuration = Configuration()

This runs the configuration function which sets up logging and calls multiprocessing.cpu_count

commenting the multiprocessing call confirms this, i then runs significantly faster:

real	0m11.964s
user	0m8.162s
sys	0m0.338s

Is there a way to avoid calling Configuration on every model init?