gstlal_inspiral_marginalize_likelihoods_online: replace file naming for file used for resetting zerolag counts by one generated by mktemp

config/inspiral.py: calculate start padding for filtering using FFT length and template duration. load SVD manifest upon initialization

segutil.py, config.py: fix issues with 1 ifo time bins, define a separate overlap kwarg for analysis_segments, remove max_instruments

snax: overhaul file naming to use DataType, remove broken checkpointing and custom basename, fix off by one bug in duration in filename

datafind.py: move directory naming to DataType, use within DataCache. filter by segments when using DataCache.find()

snax.pipeparts: add frequency-domain whitener into mkcondition, split up whiteners into fdwhiten, tdwhiten

gstlal_inspiral, inspiral.py: use f_lower from injection to create waveform, use f_min, f_max from SVD bank to calculate expected SNR

gstlal_inspiral: calculate expected SNR for injections before starting up if a reference PSD is available

inj_simplify_and_cluster.sql, inj_snr_simplify_and_cluster.sql: de-duplicate sim_inspiral table rather than dropping entirely

offline DAG workflow: remove explicit plot/table caches, track everything in plots directory instead. fix some issues with plotting/summary jobs