generic_functions

Functions from TanayLabUtilities which it is useful to make available. In principle we should put these in a separate TanayLabUtilities.py wrapper package, but that’s too much of a hassle.

dafpy.generic_functions. AbnormalHandler

The action to take when encountering an “abnormal” (but recoverable) operation. See the Julia documentation for details.

alias of Union [ Literal [‘IgnoreHandler’], Literal [‘WarnHandler’], Literal [‘ErrorHandler’]]

dafpy.generic_functions. inefficient_action_handler ( handler : Literal [ 'IgnoreHandler' ] | Literal [ 'WarnHandler' ] | Literal [ 'ErrorHandler' ] ) → Literal [ 'IgnoreHandler' ] | Literal [ 'WarnHandler' ] | Literal [ 'ErrorHandler' ]

Specify the AbnormalHandler to use when accessing a matrix in an inefficient way (“against the grain”). Returns the previous handler. See the Julia documentation for details.

dafpy.generic_functions. LogLevel

The (Julia) log levels.

alias of Union [ Literal [‘Debug’], Literal [‘Info’], Literal [‘Warn’], Literal [‘Error’], int ]

dafpy.generic_functions. setup_logger ( io: ~typing.TextIO = <_io.TextIOWrapper name='<stderr>' mode='w' encoding='utf-8'> , * , level: ~typing.Literal['Debug'] | ~typing.Literal['Info'] | ~typing.Literal['Warn'] | ~typing.Literal['Error'] | int = 'Warn' , show_time: bool = True , show_module: bool = True , show_location: bool = False ) → None

Setup a global logger that will print into io (which currently must be either sys.stdout or sys.stderr ), printing messages with a timestamp prefix. See the Julia documentation for details.