* fold in state/DQ vector support in Stream.from_datasource
* expose setting pipeline state via stream.set_state(state)
* support operations on groups of keyed streamed via StreamMap
* allow callbacks via EOS messages where message types are not relevant
* support x-lal caps when pulling buffers from appsink
* support AppSync functionality for synchronization via StreamMap.bufsink

switch offline workflow to computing expected SNR of injections as part of separate program, fix issues with rerank/injection dags

gstlal_inspiral_injection_snr: allow passing in PSDs in addition to PSD caches, switch to f_min for measuring SNR

dags/layers/inspiral.py: fix issue on how many svd bins to group up in inspiral jobs so that max concurrency is used properly

handle config with multiple levels of nesting, add injection/segment specific config for inspiral workflows

dags/layers/inspiral.py: allow inspiral jobs with file transfer to also use checkpointing/frame caching

* add entrypoint to conda dockerfile for interactive sessions