def __init__(self, parent=None, invalidate_parent=True, **kwargs):
self._parent = parent
self._invalidate_parent = invalidate_parent
HasTraits.__init__(self)
self.trait_set(**kwargs)
self._check_outputs()
def __init__(self, *args, **kwargs):
HasTraits.__init__(self, *args, **kwargs)
self.namespace = {}
# we open hdf files and don't necessarily read their contents into memory - these need to be closed when we
# either delete the recipe, or clear the namespace
self._open_input_files = []
self.recipe_changed = dispatch.Signal()
self.recipe_executed = dispatch.Signal()
def trait_view(self, name=None, view_element=None):
import traitsui.api as tui
from six import string_types
if view_element is None and isinstance(name, string_types):
try:
tc = getattr(self, name)
if isinstance(tc, tui.View):
return tc
except AttributeError:
pass
return HasTraits.trait_view(self, name, view_element)
def __init__(self, parent=None, invalidate_parent=True, **kwargs):
self._parent = parent
self._invalidate_parent = invalidate_parent
HasTraits.__init__(self)
if (parent is not None):
# make sure that the default output name does not collide with any outputs
# already in the recipe
for k, v in self._output_traits.items():
if v in parent.module_outputs:
duplicate_num = 0
val = v
while (val in parent.module_outputs):
# we already have an output of that name in the recipe
# increase the subscript until we get a unique value
duplicate_num += 1
val = v + '_%d' % duplicate_num
self.trait_set(**{k: val})
# if an input matches the default value for an output, our circular reference check will fail, even if we are
# setting both values to good values in the kwargs (see issue #695). To mitigate, we first set without validation
# to overwrite any default values which may be modified, and then re-set with validation turned on to catch any
# circular references in the final values.
self._initial_set = False
self.trait_set(
trait_change_notify=False,
**kwargs) #don't notify here - next set will do notification.
self._initial_set = True
# validate input and outputs now that output names have been set.
# for now, just set all the values again to re-trigger validation
self.trait_set(**kwargs)
self._check_outputs()
def __init__(self, rule_factories=None, *args, **kwargs):
if rule_factories is None:
rule_factories = list()
self.rule_factories = rule_factories
HasTraits.__init__(self, *args, **kwargs)