def launch(self, **kwargs):
"""
Used for creating a `StimuliRegion` instance
"""
stimuli_region = StimuliRegion(storage_path=self.storage_path)
stimuli_region.connectivity = kwargs['connectivity']
stimuli_region.weight = kwargs['weight']
stimuli_region.temporal = Equation.build_equation_from_dict('temporal', kwargs)
return stimuli_region
def launch(self, **kwargs):
"""
Used for creating a `StimuliRegion` instance
"""
stimuli_region = StimuliRegion(storage_path=self.storage_path)
stimuli_region.connectivity = kwargs['connectivity']
stimuli_region.weight = kwargs['weight']
stimuli_region.temporal = Equation.build_equation_from_dict(
'temporal', kwargs)
return stimuli_region
def launch(self, view_model):
# type: (RegionStimulusCreatorModel) -> [StimuliRegionIndex]
"""
Used for creating a `StimuliRegion` instance
"""
stimuli_region = StimuliRegion()
stimuli_region.connectivity = Connectivity()
stimuli_region.connectivity.gid = view_model.connectivity
stimuli_region.weight = view_model.weight
stimuli_region.temporal = view_model.temporal
self.generic_attributes.user_tag_1 = view_model.display_name
stimuli_region_idx = self.store_complete(stimuli_region)
return stimuli_region_idx
def launch(self, **kwargs):
"""
Used for creating a StimuliRegion instance
"""
stimuli_region = StimuliRegion(storage_path=self.storage_path)
stimuli_region.connectivity = kwargs['connectivity']
stimuli_region.weight = kwargs['weight']
#spatial_eq = parameters_factory.get_traited_instance_for_name(kwargs['spatial'], equations_data.EquationData,
# {'parameters': kwargs['spatial_parameters'].get('parameters', {})})
temporal_eq = parameters_factory.get_traited_instance_for_name(kwargs['temporal'], equations_data.EquationData,
{'parameters': kwargs['temporal_parameters'].get('parameters', {})})
#stimuli_region.spatial = spatial_eq
stimuli_region.temporal = temporal_eq
return stimuli_region
def create_stimulus(self, connectivity):
"""
:param connectivity: Connectivity to create stimuli for its regions
:return: persisted region Stimuli instance
"""
operation, _, storage_path = self.__create_operation()
stimuli_region = StimuliRegion(storage_path=storage_path)
stimuli_region.connectivity = connectivity
stimuli_region.weight = numpy.random.random((connectivity.number_of_regions, 1)).tolist()
stimuli_region.temporal = PulseTrain()
adapter_instance = StoreAdapter([stimuli_region])
OperationService().initiate_prelaunch(operation, adapter_instance, {})
return stimuli_region
def create_stimulus(self, connectivity):
"""
:param connectivity: Connectivity to create stimuli for its regions
:return: persisted region Stimuli instance
"""
operation, _, storage_path = self.__create_operation()
stimuli_region = StimuliRegion(storage_path=storage_path)
stimuli_region.connectivity = connectivity
stimuli_region.weight = numpy.random.random((connectivity.number_of_regions, 1)).tolist()
stimuli_region.temporal = PulseTrain()
adapter_instance = StoreAdapter([stimuli_region])
OperationService().initiate_prelaunch(operation, adapter_instance, {})
return stimuli_region
def launch(self, view_model):
# type: (RegionStimulusCreatorModel) -> [StimuliRegionIndex]
"""
Used for creating a `StimuliRegion` instance
"""
stimuli_region = StimuliRegion()
stimuli_region.connectivity = Connectivity()
stimuli_region.connectivity.gid = view_model.connectivity
stimuli_region.weight = view_model.weight
stimuli_region.temporal = view_model.temporal
stimuli_region_idx = StimuliRegionIndex()
stimuli_region_idx.fill_from_has_traits(stimuli_region)
h5.store_complete(stimuli_region, self.storage_path)
return stimuli_region_idx
