Decorators
action
- action(*args, **kwargs)[source]
- Decorator for action methods in - Batchclasses- Parameters:
- use_lock (bool or str) – whether to lock an action when a pipeline is executed. It can be bool or a lock name. A pipeline variable with a lock is created in the pipeline during the execution. 
- no_eval (str or a sequence of str) – parameters to skip from named expression evaluation. A parameter should be passed as a named argument only. 
 
 - Examples - @action def some_action(self, arg1, arg2): ... @action(no_eval='dst') def calc_offset(self, src, dst=None): ... @action(use_lock=True) def critical_section(self, some_arg, another_arg): ... @action(use_lock='lock_name') def another_critical_section(self, some_arg, another_arg): ... 
inbatch_parallel
parallel
apply_parallel
- apply_parallel(*args, **kwargs)[source]
- Mark class method for transform in its metaclass. - Decorator writes kwargs to the method attribute apply_kwargs, so they can be extracted and used in metaclass. - Parameters:
- args – other parameters passed to apply_parallel method of the class where this decorator is being used 
- kwargs – other parameters passed to apply_parallel method of the class where this decorator is being used 
 
 - Notes - Redefine the attribute apply_defaults <.Batch.apply_defaults> in the batch class. This is proposed solely for the purposes of brevity — in order to avoid repeated heavily loaded class methods decoration, e.g. @apply_parallel(src=’images’, target=’for’) which in most cases is actually equivalent to simple @apply_parallel assuming that the defaults are redefined for the class whose methods are being transformed. - Note, that if no defaults redefined those from the nearest parent class will be used in - MethodsTransformingMeta.