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The previous implementation did some ratelimiting, namely how many parallel ActivateConnection D-Bus calls are in fly. This way we are able to kick off many parallel calls, but the activations themselves were not ratelimited. Rework the code. Now there are two rate limits (that can be set via environment variables): NUM_PARALLEL_STARTING NUM_PARALLEL_IN_PROGRESS This allows more control about how much is happening in parallel. If we are going to activate 1000 profiles, then it matters that we do things in parallel, but not everything at the same time. |
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| .. | ||
| add_connection.py | ||
| checkpoint.py | ||
| deactivate-all.py | ||
| device-state-ip4config.py | ||
| dns.py | ||
| firewall-zone.py | ||
| get-active-connections.py | ||
| get-devices.py | ||
| get-interface-flags.py | ||
| get-lldp-neighbors.py | ||
| get_ips.py | ||
| list-connections.py | ||
| nm-add-connection2.py | ||
| nm-connection-update-stable-id.py | ||
| nm-keyfile.py | ||
| nm-up-many.py | ||
| nm-update2.py | ||
| nm-wg-set | ||
| ovs-external-ids.py | ||
| README | ||
| setting-user-data.py | ||
| show-wifi-networks.py | ||
| update-ip4-method.py | ||
| vpn-import.py | ||
| wifi-p2p.py | ||
These examples show how to call libnm from Python using GObject introspection.