usage: bumps-webview [-h] [-x] [--external] [-p PORT] [--hub HUB]
[--fit {dream,scipy.leastsq,amoeba,de,lm,newton}]
[--start] [--store STORE] [--read_store READ_STORE] [--write_store WRITE_STORE] [--exit]
[--serializer {pickle,dill,dataclass}] [--trace] [--parallel PARALLEL] [--path PATH]
[--no_auto_history] [--convergence_heartbeat] [--use_persistent_path] [filename]
positionalarguments:
filename
problem file to load, .py or .json (serialized) fitproblem
options:-h, --help
show this help message and exit
-x, --headless
do not automatically load client in browser
--external
listen on all interfaces, including external (local connections only if not set)
-p, --port PORT
port on which to start the server
--hub HUB
api address of parent hub (only used when called as subprocess)
--fit {dream,scipy.leastsq,amoeba,de,lm,newton}
fitting engine to use; see manual for details
--start
start fit when problem loaded
--store STORE
set read_store and write_store to same file
--read_store READ_STORE
read initial session state from file (overrides --store)
--write_store WRITE_STORE
output file for session state (overrides --store)
--exit end process when fit complete (fit results lost unless write_store is specified)
--serializer {pickle,dill,dataclass}
strategy for serializing problem, will use value from store if it has already been defined
--trace
enable memory tracing (prints after every uncertainty update in dream)
--parallel PARALLEL
run fit using multiprocessing for parallelism; use --parallel=0 for all cpus
--path PATH
set initial path for save and load dialogs
--no_auto_history
disable auto-appending problem state to history on load and at fit end
--convergence_heartbeat
enable convergence heartbeat for jupyter kernel (keeps kernel alive during fit)
--use_persistent_path
save most recently used path to disk for persistence between sessions