MATRIX, PARAMETER_PORT, PARAMETER_PORTS, PROJECTION_SENDER, SLOPE, ONLINE, AFTER
from psyneulink.core.globals.parameters import Parameter
from psyneulink.core.globals.preferences.basepreferenceset import is_pref_set
from psyneulink.core.globals.preferences.preferenceset import PreferenceLevel
from psyneulink.core.globals.utilities import iscompatible, parameter_spec
__all__ = [
'DefaultTrainingMechanism',
'LearningProjection',
'LearningProjectionError',
'WT_MATRIX_RECEIVERS_DIM',
'WT_MATRIX_SENDER_DIM',
]
# Parameters:
parameter_keywords.update({LEARNING_PROJECTION, LEARNING})
projection_keywords.update({LEARNING_PROJECTION, LEARNING})
WT_MATRIX_SENDER_DIM = 0
WT_MATRIX_RECEIVERS_DIM = 1
DefaultTrainingMechanism = ObjectiveMechanism
class LearningProjectionError(Exception):
def __init__(self, error_value):
self.error_value = error_value
def __str__(self):
return repr(self.error_value)
from psyneulink.core.components.functions.transferfunctions import LinearMatrix, get_matrix
from psyneulink.core.components.projections.pathway.mappingprojection import MappingProjection
from psyneulink.core.components.projections.projection import projection_keywords
from psyneulink.core.components.shellclasses import Mechanism
from psyneulink.core.components.ports.outputport import OutputPort
from psyneulink.core.globals.context import ContextFlags
from psyneulink.core.globals.keywords import AUTO_ASSOCIATIVE_PROJECTION, DEFAULT_MATRIX, HOLLOW_MATRIX, MATRIX
from psyneulink.core.globals.parameters import Parameter
from psyneulink.core.globals.preferences.basepreferenceset import is_pref_set
from psyneulink.core.globals.preferences.preferenceset import PreferenceLevel
__all__ = [
'AutoAssociativeError', 'AutoAssociativeProjection', 'get_auto_matrix', 'get_hetero_matrix',
]
parameter_keywords.update({AUTO_ASSOCIATIVE_PROJECTION})
projection_keywords.update({AUTO_ASSOCIATIVE_PROJECTION})
class AutoAssociativeError(Exception):
def __init__(self, error_value):
self.error_value = error_value
def _matrix_getter(owning_component=None, context=None):
return owning_component.owner_mech.parameters.matrix._get(context)
def _matrix_setter(value, owning_component=None, context=None):
owning_component.owner_mech.parameters.matrix._set(value, context)
return value
from psyneulink.core.components.projections.projection import ProjectionError, Projection_Base, projection_keywords
from psyneulink.core.components.ports.outputport import OutputPort
from psyneulink.core.globals.keywords import \
AUTO_ASSIGN_MATRIX, CONTEXT, DEFAULT_MATRIX, FULL_CONNECTIVITY_MATRIX, FUNCTION, FUNCTION_PARAMS, \
HOLLOW_MATRIX, IDENTITY_MATRIX, INPUT_PORT, LEARNING, LEARNING_PROJECTION, MAPPING_PROJECTION, MATRIX, \
OUTPUT_PORT, PROJECTION_SENDER, VALUE
from psyneulink.core.globals.log import ContextFlags
from psyneulink.core.globals.parameters import FunctionParameter, Parameter
from psyneulink.core.globals.preferences.basepreferenceset import is_pref_set
from psyneulink.core.globals.preferences.preferenceset import PreferenceEntry, PreferenceLevel
__all__ = [
'MappingError', 'MappingProjection',
]
parameter_keywords.update({MAPPING_PROJECTION})
projection_keywords.update({MAPPING_PROJECTION})
class MappingError(Exception):
def __init__(self, error_value):
self.error_value = error_value
def _mapping_projection_matrix_getter(owning_component=None, context=None):
return owning_component.function.parameters.matrix.get(context)
def _mapping_projection_matrix_setter(value, owning_component=None, context=None):
owning_component.function.parameters.matrix.set(value, context)
# KDM 11/13/18: not sure that below is correct to do here, probably is better to do this in a "reset" type
from psyneulink.core.components.projections.modulatory.modulatoryprojection import ModulatoryProjection_Base
from psyneulink.core.components.projections.projection import ProjectionError, Projection_Base, projection_keywords
from psyneulink.core.components.shellclasses import Mechanism, Process_Base
from psyneulink.core.globals.context import ContextFlags
from psyneulink.core.globals.keywords import CONTROL, CONTROL_PROJECTION, CONTROL_SIGNAL, PARAMETER_STATE, PROJECTION_SENDER
from psyneulink.core.globals.parameters import Parameter
from psyneulink.core.globals.preferences.componentpreferenceset import is_pref_set
from psyneulink.core.globals.preferences.preferenceset import PreferenceLevel
__all__ = [
'CONTROL_SIGNAL_PARAMS',
'ControlProjection',
'ControlProjectionError',
]
parameter_keywords.update({CONTROL_PROJECTION, CONTROL})
projection_keywords.update({CONTROL_PROJECTION, CONTROL})
CONTROL_SIGNAL_PARAMS = 'control_signal_params'
class ControlProjectionError(Exception):
def __init__(self, error_value):
self.error_value = error_value
def __str__(self):
return repr(self.error_value)
def _control_signal_getter(owning_component=None, execution_id=None):
return owning_component.sender.parameters.value.get(execution_id)
from psyneulink.core.components.projections.modulatory.modulatoryprojection import ModulatoryProjection_Base
from psyneulink.core.components.projections.projection import ProjectionError, Projection_Base, projection_keywords
from psyneulink.core.components.shellclasses import Mechanism, Process_Base
from psyneulink.core.globals.context import ContextFlags
from psyneulink.core.globals.keywords import \
FUNCTION_OUTPUT_TYPE, GATING, GATING_MECHANISM, GATING_PROJECTION, GATING_SIGNAL, \
INPUT_PORT, OUTPUT_PORT, PROJECTION_SENDER
from psyneulink.core.globals.parameters import Parameter
from psyneulink.core.globals.preferences.basepreferenceset import is_pref_set
from psyneulink.core.globals.preferences.preferenceset import PreferenceLevel
__all__ = [
'GATING_SIGNAL_PARAMS', 'GatingProjection', 'GatingProjectionError',
]
parameter_keywords.update({GATING_PROJECTION, GATING})
projection_keywords.update({GATING_PROJECTION, GATING})
GATING_SIGNAL_PARAMS = 'gating_signal_params'
class GatingProjectionError(Exception):
def __init__(self, error_value):
self.error_value = error_value
def __str__(self):
return repr(self.error_value)
def _gating_signal_getter(owning_component=None, context=None):
return owning_component.sender.parameters.value._get(context)
