• patch_for_bias_nodes

[jdcpni]

• composition.py
mods to docstring

• test_composition.py

• test_remove_node(): uncomment conditions

[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

diff -r docs-base/Composition.html docs-head/Composition.html
618,623c618,624
< Node, that can also be modified by <a class="reference internal" href="#composition-learning"><span class="std std-ref">learning</span></a>. A bias Node is implemented by adding a
< <a class="reference internal" href="ProcessingMechanism.html"><span class="doc">ProcessingMechanism</span></a> to the Composition and requiring it to have the <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole.BIAS" title="psyneulink.core.compositions.composition.NodeRole.BIAS"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">BIAS</span></code></a> <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRole</span></code></a>. The ProcessingMechanims
< cannot have any afferent Projections, and should project to the <a class="reference internal" href="InputPort.html"><span class="doc">InputPort</span></a> containing the values to be biased. If
< the bias is to be learned, the <code class="xref any docutils literal notranslate"><span class="pre">learnable</span></code> attribute of the MappingProjeciton
< should be set to True. The value of the bias, and how it is applied to the values being biased are specified as
< described below:</p>
---
> Node, that can also be modified by <a class="reference internal" href="#composition-learning"><span class="std std-ref">learning</span></a>. A BIAS Node is implemented by adding a
> <a class="reference internal" href="ProcessingMechanism.html"><span class="doc">ProcessingMechanism</span></a> to the Composition and requiring it to have the <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole.BIAS" title="psyneulink.core.compositions.composition.NodeRole.BIAS"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">BIAS</span></code></a> <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRole</span></code></a>. This can be done using
> any of the methods described <a class="reference internal" href="#composition-nodes"><span class="std std-ref">above</span></a> for assigning <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRoles</span></code></a> tp a Node. The
> ProcessingMechanism cannot have any afferent Projections, and should project to the <a class="reference internal" href="InputPort.html"><span class="doc">InputPort</span></a> of the Node with
> the values to be biased. If the bias is to be learned, the <code class="xref any docutils literal notranslate"><span class="pre">learnable</span></code> attribute of
> the MappingProjeciton should be set to True. The value of the bias, and how it is applied to the values being biased
> are specified as described below:</p>
diff -r docs-base/searchindex.js docs-head/searchindex.js
1c1
< Search.setIndex({docnames:["AGT","AGTControlMechanism","AutoAssociativeLearningMechanism","AutoAssociativeProjection","AutodiffComposition","BasicsAndPrimer","BeukersNBackModel","BeukersNBackModel_NB","BotvinickConflictMonitoringModel","BustamanteStroopXORLVOCModel","Cohen_HustonModel","ComparatorMechanism","Compilation","Component","Components","Composition","CompositionFunctionApproximator","CompositionInterfaceMechanism","Compositions","Condition","Context","ContrastiveHebbianMechanism","ContributorsGuide","ControlMechanism","ControlMechanisms","ControlProjection","ControlProjections","ControlSignal","ConventionsAndDefinitions","Core","DDM","DefaultControlMechanism","Defaults","DistributionFunctions","EMComposition","EVC","EVCAuxiliary","EVCControlMechanism","EpisodicMemoryMechanism","Function","Functions","GatingMechanism","GatingMechanisms","GatingProjection","GatingProjections","GatingSignal","GilzenratModel","InputPort","IntegratorFunctions","IntegratorMechanism","IntegratorMechanisms","KWTAMechanism","Keywords","KohonenMechanism","LCAMechanism","LCControlMechanism","LCMechanism","LLVM","LeabraMechanism","LearningFunctions","LearningMechanism","LearningMechanisms","LearningProjection","LearningProjections","LearningSignal","Library","Log","MappingProjection","MaskedMappingProjection","Mechanism","Mechanisms","MemoryFunctions","Models","ModulatoryMechanism","ModulatoryMechanisms","ModulatoryProjection","ModulatoryProjections","ModulatorySignal","MontagueModel","NieuwenhuisModel","NonStatefulFunctions","ObjectiveFunctions","ObjectiveMechanism","ObjectiveMechanisms","OptimizationControlMechanism","OptimizationFunctions","OutputPort","PCTC_model","ParameterEstimationComposition","ParameterPort","Parameters","Pathway","PathwayProjection","PathwayProjections","Port","PredictionErrorMechanism","Preferences","ProcessingMechanism","ProcessingMechanisms","Projection","Projections","QuickReference","RecurrentTransferMechanism","RefactoredLearningGuide","Registry","RegressionCFA","Report","Scheduler","Scheduling","SelectionFunctions","Services","StatefulFunction","StatefulFunctions","Subystems","Time","TimerFunctions","TimerMechanism","TransferFunctions","TransferMechanism","TransferMechanisms","TransformFunctions","UserDefinedFunction","UserGuide","UserGuide_TBD","Visualization","globals","index","index_logo_with_text","mdf","nback_nb"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,sphinx:56},filenames:["AGT.rst","AGTControlMechanism.rst","AutoAssociativeLearningMechanism.rst","AutoAssociativeProjection.rst","AutodiffComposition.rst","BasicsAndPrimer.rst","BeukersNBackModel.rst","BeukersNBackModel_NB.rst","BotvinickConflictMonitoringModel.rst","BustamanteStroopXORLVOCModel.rst","Cohen_HustonModel.rst","ComparatorMechanism.rst","Compilation.rst","Component.rst","Components.rst","Composition.rst","CompositionFunctionApproximator.rst","CompositionInterfaceMechanism.rst","Compositions.rst","Condition.rst","Context.rst","ContrastiveHebbianMechanism.rst","ContributorsGuide.rst","ControlMechanism.rst","ControlMechanisms.rst","ControlProjection.rst","ControlProjections.rst","ControlSignal.rst","ConventionsAndDefinitions.rst","Core.rst","DDM.rst","DefaultControlMechanism.rst","Defaults.rst","DistributionFunctions.rst","EMComposition.rst","EVC.rst","EVCAuxiliary.rst","EVCControlMechanism.rst","EpisodicMemoryMechanism.rst","Function.rst","Functions.rst","GatingMechanism.rst","GatingMechanisms.rst","GatingProjection.rst","GatingProjections.rst","GatingSignal.rst","GilzenratModel.rst","InputPort.rst","IntegratorFunctions.rst","IntegratorMechanism.rst","IntegratorMechanisms.rst","KWTAMechanism.rst","Keywords.rst","KohonenMechanism.rst","LCAMechanism.rst","LCControlMechanism.rst","LCMechanism.rst","LLVM.rst","LeabraMechanism.rst","LearningFunctions.rst","LearningMechanism.rst","LearningMechanisms.rst","LearningProjection.rst","LearningProjections.rst","LearningSignal.rst","Library.rst","Log.rst","MappingProjection.rst","MaskedMappingProjection.rst","Mechanism.rst","Mechanisms.rst","MemoryFunctions.rst","Models.rst","ModulatoryMechanism.rst","ModulatoryMechanisms.rst","ModulatoryProjection.rst","ModulatoryProjections.rst","ModulatorySignal.rst","MontagueModel.rst","NieuwenhuisModel.rst","NonStatefulFunctions.rst","ObjectiveFunctions.rst","ObjectiveMechanism.rst","ObjectiveMechanisms.rst","OptimizationControlMechanism.rst","OptimizationFunctions.rst","OutputPort.rst","PCTC_model.rst","ParameterEstimationComposition.rst","ParameterPort.rst","Parameters.rst","Pathway.rst","PathwayProjection.rst","PathwayProjections.rst","Port.rst","PredictionErrorMechanism.rst","Preferences.rst","ProcessingMechanism.rst","ProcessingMechanisms.rst","Projection.rst","Projections.rst","QuickReference.rst","RecurrentTransferMechanism.rst","RefactoredLearningGuide.rst","Registry.rst","RegressionCFA.rst","Report.rst","Scheduler.rst","Scheduling.rst","SelectionFunctions.rst","Services.rst","StatefulFunction.rst","StatefulFunctions.rst","Subystems.rst","Time.rst","TimerFunctions.rst","TimerMechanism.rst","TransferFunctions.rst","TransferMechanism.rst","TransferMechanisms.rst","TransformFunctions.rst","UserDefinedFunction.rst","UserGuide.rst","UserGuide_TBD.rst","Visualization.rst","globals.rst","index.rst","index_logo_with_text.rst","mdf.rst","nback_nb.ipynb"],objects:{"psyneulink.core.components":{component:[13,0,0,"-"]},"psyneulink.core.components.component":{Component:[13,1,1,""]},"psyneulink.core.components.component.Component":{"function":[13,4,1,""],_check_args:[13,2,1,""],_check_for_composition:[13,2,1,""],_deferred_init:[13,2,1,""],_dependent_components:[13,3,1,""],_get_allowed_arguments:[13,2,1,""],_get_param_value_from_tuple:[13,2,1,""],_handle_default_variable:[13,2,1,""],_handle_input_shapes:[13,2,1,""],_initialize_parameters:[13,2,1,""],_instantiate_defaults:[13,2,1,""],_instantiate_function:[13,2,1,""],_instantiate_parameter_classes:[13,2,1,""],_model_spec_class_name_is_generic:[13,4,1,""],_model_spec_generic_type_name:[13,4,1,""],_model_spec_parameter_blacklist:[13,3,1,""],_parameter_components:[13,3,1,""],_parse_arg_generic:[13,2,1,""],_parse_arg_variable:[13,2,1,""],_parse_function_variable:[13,2,1,""],_parse_input_shapes:[13,2,1,""],_receiver_ports:[13,3,1,""],_sender_ports:[13,3,1,""],_set_multiple_parameter_values:[13,2,1,""],_specified_variable_shape_flexibility:[13,4,1,""],_validate:[13,2,1,""],_validate_and_assign_runtime_params:[13,2,1,""],_validate_arguments:[13,2,1,""],_validate_function:[13,2,1,""],_validate_params:[13,2,1,""],_validate_variable:[13,2,1,""],all_dependent_parameters:[13,2,1,""],current_execution_time:[13,4,1,""],defaults:[13,4,1,""],execute:[13,2,1,""],execute_until_finished:[13,4,1,""],execution_count:[13,4,1,""],function_parameters:[13,3,1,""],get_afferents:[13,2,1,""],get_efferents:[13,2,1,""],initialization_status:[13,4,1,""],input_shapes:[13,4,1,""],is_finished:[13,2,1,""],log:[13,4,1,""],log_values:[13,2,1,""],loggable_items:[13,3,1,""],logged_items:[13,3,1,""],max_executions_before_finished:[13,4,1,""],most_recent_context:[13,3,1,""],name:[13,4,1,""],num_executions:[13,4,1,""],num_executions_before_finished:[13,4,1,""],parameters:[13,4,1,""],prefs:[13,4,1,""],reset:[13,2,1,""],reset_params:[13,2,1,""],reset_stateful_function_when:[13,4,1,""],set_delivery_conditions:[13,2,1,""],set_log_conditions:[13,2,1,""],stateful_parameters:[13,3,1,"id0"],value:[13,4,1,""],variable:[13,4,1,""]},"psyneulink.core.components.functions":{"function":[40,0,0,"-"],distributionfunctions:[33,0,0,"-"],learningfunctions:[59,0,0,"-"],objectivefunctions:[81,0,0,"-"],optimizationfunctions:[85,0,0,"-"],selectionfunctions:[109,0,0,"-"],transformfunctions:[120,0,0,"-"],userdefinedfunction:[121,0,0,"-"]},"psyneulink.core.components.functions.distributionfunctions":{DistributionFunction:[33,1,1,""],DriftDiffusionAnalytical:[33,1,1,""],ExponentialDist:[33,1,1,""],GammaDist:[33,1,1,""],NormalDist:[33,1,1,""],UniformDist:[33,1,1,""],UniformToNormalDist:[33,1,1,""],WaldDist:[33,1,1,""]},"psyneulink.core.components.functions.distributionfunctions.DriftDiffusionAnalytical":{_compute_conditional_rt_moments:[33,2,1,""],_function:[33,2,1,""],bias:[33,4,1,""],derivative:[33,2,1,""],drift_rate:[33,4,1,""],name:[33,4,1,""],noise:[33,4,1,""],non_decision_time:[33,4,1,""],owner:[33,4,1,""],prefs:[33,4,1,""],shenhav_et_al_compat_mode:[33,3,1,""],starting_value:[33,4,1,""],threshold:[33,4,1,""],variable:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.ExponentialDist":{beta:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.GammaDist":{dist_shape:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""],scale:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.NormalDist":{_validate_params:[33,2,1,""],mean:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""],standard_deviation:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.UniformDist":{high:[33,4,1,""],low:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.UniformToNormalDist":{mean:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""],standard_deviation:[33,4,1,""]},"psyneulink.core.components.functions.function":{ArgumentTherapy:[40,1,1,""],Function_Base:[40,1,1,""],RandomMatrix:[40,1,1,""]},"psyneulink.core.components.functions.function.ArgumentTherapy":{Manner:[40,1,1,""],_function:[40,2,1,""],_validate_params:[40,2,1,""],_validate_variable:[40,2,1,""],name:[40,4,1,""],owner:[40,4,1,""],pertinacity:[40,4,1,""],prefs:[40,4,1,""],propensity:[40,4,1,""],variable:[40,4,1,""]},"psyneulink.core.components.functions.function.Function_Base":{"function":[40,4,1,""],_assign_to_mdf_model:[40,2,1,""],_get_pytorch_fct_param_value:[40,2,1,""],_model_spec_parameter_blacklist:[40,3,1,""],_parse_arg_generic:[40,2,1,""],_validate_parameter_spec:[40,2,1,""],name:[40,4,1,""],owner:[40,4,1,""],prefs:[40,4,1,""],value:[40,4,1,""],variable:[40,4,1,""]},"psyneulink.core.components.functions.function.RandomMatrix":{center:[40,4,1,""],range:[40,4,1,""]},"psyneulink.core.components.functions.learningfunctions":{BackPropagation:[59,1,1,""],BayesGLM:[59,1,1,""],ContrastiveHebbian:[59,1,1,""],Hebbian:[59,1,1,""],Kohonen:[59,1,1,""],LearningFunction:[59,1,1,""],Reinforcement:[59,1,1,""],TDLearning:[59,1,1,""]},"psyneulink.core.components.functions.learningfunctions.BackPropagation":{_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],activation_derivative_fct:[59,4,1,""],activation_input:[59,4,1,""],activation_output:[59,4,1,""],covariates:[59,4,1,""],error_matrix:[59,4,1,""],error_signal:[59,4,1,""],learning_rate:[59,4,1,""],loss_spec:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.BayesGLM":{Lambda_n:[59,4,1,""],Lambda_prior:[59,4,1,""],_function:[59,2,1,""],_handle_default_variable:[59,2,1,""],gamma_shape_0:[59,4,1,""],gamma_shape_n:[59,4,1,""],gamma_shape_prior:[59,4,1,""],gamma_size_0:[59,4,1,""],gamma_size_n:[59,4,1,""],gamma_size_prior:[59,4,1,""],initialize_priors:[59,2,1,""],mu_0:[59,4,1,""],mu_n:[59,4,1,""],mu_prior:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],random_state:[59,4,1,""],reset:[59,2,1,""],sample_weights:[59,2,1,""],sigma_0:[59,4,1,""],variable:[59,4,1,""],weights_sample:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.ContrastiveHebbian":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],learning_rate:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.Hebbian":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],learning_rate:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.Kohonen":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],learning_rate:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.LearningFunction":{learning_rate:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.Reinforcement":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],activation_input:[59,4,1,""],activation_output:[59,4,1,""],error_sig
...

See CI logs for the full diff.

[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

diff -r docs-base/Composition.html docs-head/Composition.html
618,623c618,624
< Node, that can also be modified by <a class="reference internal" href="#composition-learning"><span class="std std-ref">learning</span></a>. A bias Node is implemented by adding a
< <a class="reference internal" href="ProcessingMechanism.html"><span class="doc">ProcessingMechanism</span></a> to the Composition and requiring it to have the <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole.BIAS" title="psyneulink.core.compositions.composition.NodeRole.BIAS"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">BIAS</span></code></a> <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRole</span></code></a>. The ProcessingMechanims
< cannot have any afferent Projections, and should project to the <a class="reference internal" href="InputPort.html"><span class="doc">InputPort</span></a> containing the values to be biased. If
< the bias is to be learned, the <code class="xref any docutils literal notranslate"><span class="pre">learnable</span></code> attribute of the MappingProjeciton
< should be set to True. The value of the bias, and how it is applied to the values being biased are specified as
< described below:</p>
---
> Node, that can also be modified by <a class="reference internal" href="#composition-learning"><span class="std std-ref">learning</span></a>. A BIAS Node is implemented by adding a
> <a class="reference internal" href="ProcessingMechanism.html"><span class="doc">ProcessingMechanism</span></a> to the Composition and requiring it to have the <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole.BIAS" title="psyneulink.core.compositions.composition.NodeRole.BIAS"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">BIAS</span></code></a> <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRole</span></code></a>. This can be done using
> any of the methods described <a class="reference internal" href="#composition-nodes"><span class="std std-ref">above</span></a> for assigning <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRoles</span></code></a> tp a Node. The
> ProcessingMechanism cannot have any afferent Projections, and should project to the <a class="reference internal" href="InputPort.html"><span class="doc">InputPort</span></a> of the Node with
> the values to be biased. If the bias is to be learned, the <code class="xref any docutils literal notranslate"><span class="pre">learnable</span></code> attribute of
> the MappingProjeciton should be set to True. The value of the bias, and how it is applied to the values being biased
> are specified as described below:</p>
diff -r docs-base/searchindex.js docs-head/searchindex.js
1c1
< Search.setIndex({docnames:["AGT","AGTControlMechanism","AutoAssociativeLearningMechanism","AutoAssociativeProjection","AutodiffComposition","BasicsAndPrimer","BeukersNBackModel","BeukersNBackModel_NB","BotvinickConflictMonitoringModel","BustamanteStroopXORLVOCModel","Cohen_HustonModel","ComparatorMechanism","Compilation","Component","Components","Composition","CompositionFunctionApproximator","CompositionInterfaceMechanism","Compositions","Condition","Context","ContrastiveHebbianMechanism","ContributorsGuide","ControlMechanism","ControlMechanisms","ControlProjection","ControlProjections","ControlSignal","ConventionsAndDefinitions","Core","DDM","DefaultControlMechanism","Defaults","DistributionFunctions","EMComposition","EVC","EVCAuxiliary","EVCControlMechanism","EpisodicMemoryMechanism","Function","Functions","GatingMechanism","GatingMechanisms","GatingProjection","GatingProjections","GatingSignal","GilzenratModel","InputPort","IntegratorFunctions","IntegratorMechanism","IntegratorMechanisms","KWTAMechanism","Keywords","KohonenMechanism","LCAMechanism","LCControlMechanism","LCMechanism","LLVM","LeabraMechanism","LearningFunctions","LearningMechanism","LearningMechanisms","LearningProjection","LearningProjections","LearningSignal","Library","Log","MappingProjection","MaskedMappingProjection","Mechanism","Mechanisms","MemoryFunctions","Models","ModulatoryMechanism","ModulatoryMechanisms","ModulatoryProjection","ModulatoryProjections","ModulatorySignal","MontagueModel","NieuwenhuisModel","NonStatefulFunctions","ObjectiveFunctions","ObjectiveMechanism","ObjectiveMechanisms","OptimizationControlMechanism","OptimizationFunctions","OutputPort","PCTC_model","ParameterEstimationComposition","ParameterPort","Parameters","Pathway","PathwayProjection","PathwayProjections","Port","PredictionErrorMechanism","Preferences","ProcessingMechanism","ProcessingMechanisms","Projection","Projections","QuickReference","RecurrentTransferMechanism","RefactoredLearningGuide","Registry","RegressionCFA","Report","Scheduler","Scheduling","SelectionFunctions","Services","StatefulFunction","StatefulFunctions","Subystems","Time","TimerFunctions","TimerMechanism","TransferFunctions","TransferMechanism","TransferMechanisms","TransformFunctions","UserDefinedFunction","UserGuide","UserGuide_TBD","Visualization","globals","index","index_logo_with_text","mdf","nback_nb"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,sphinx:56},filenames:["AGT.rst","AGTControlMechanism.rst","AutoAssociativeLearningMechanism.rst","AutoAssociativeProjection.rst","AutodiffComposition.rst","BasicsAndPrimer.rst","BeukersNBackModel.rst","BeukersNBackModel_NB.rst","BotvinickConflictMonitoringModel.rst","BustamanteStroopXORLVOCModel.rst","Cohen_HustonModel.rst","ComparatorMechanism.rst","Compilation.rst","Component.rst","Components.rst","Composition.rst","CompositionFunctionApproximator.rst","CompositionInterfaceMechanism.rst","Compositions.rst","Condition.rst","Context.rst","ContrastiveHebbianMechanism.rst","ContributorsGuide.rst","ControlMechanism.rst","ControlMechanisms.rst","ControlProjection.rst","ControlProjections.rst","ControlSignal.rst","ConventionsAndDefinitions.rst","Core.rst","DDM.rst","DefaultControlMechanism.rst","Defaults.rst","DistributionFunctions.rst","EMComposition.rst","EVC.rst","EVCAuxiliary.rst","EVCControlMechanism.rst","EpisodicMemoryMechanism.rst","Function.rst","Functions.rst","GatingMechanism.rst","GatingMechanisms.rst","GatingProjection.rst","GatingProjections.rst","GatingSignal.rst","GilzenratModel.rst","InputPort.rst","IntegratorFunctions.rst","IntegratorMechanism.rst","IntegratorMechanisms.rst","KWTAMechanism.rst","Keywords.rst","KohonenMechanism.rst","LCAMechanism.rst","LCControlMechanism.rst","LCMechanism.rst","LLVM.rst","LeabraMechanism.rst","LearningFunctions.rst","LearningMechanism.rst","LearningMechanisms.rst","LearningProjection.rst","LearningProjections.rst","LearningSignal.rst","Library.rst","Log.rst","MappingProjection.rst","MaskedMappingProjection.rst","Mechanism.rst","Mechanisms.rst","MemoryFunctions.rst","Models.rst","ModulatoryMechanism.rst","ModulatoryMechanisms.rst","ModulatoryProjection.rst","ModulatoryProjections.rst","ModulatorySignal.rst","MontagueModel.rst","NieuwenhuisModel.rst","NonStatefulFunctions.rst","ObjectiveFunctions.rst","ObjectiveMechanism.rst","ObjectiveMechanisms.rst","OptimizationControlMechanism.rst","OptimizationFunctions.rst","OutputPort.rst","PCTC_model.rst","ParameterEstimationComposition.rst","ParameterPort.rst","Parameters.rst","Pathway.rst","PathwayProjection.rst","PathwayProjections.rst","Port.rst","PredictionErrorMechanism.rst","Preferences.rst","ProcessingMechanism.rst","ProcessingMechanisms.rst","Projection.rst","Projections.rst","QuickReference.rst","RecurrentTransferMechanism.rst","RefactoredLearningGuide.rst","Registry.rst","RegressionCFA.rst","Report.rst","Scheduler.rst","Scheduling.rst","SelectionFunctions.rst","Services.rst","StatefulFunction.rst","StatefulFunctions.rst","Subystems.rst","Time.rst","TimerFunctions.rst","TimerMechanism.rst","TransferFunctions.rst","TransferMechanism.rst","TransferMechanisms.rst","TransformFunctions.rst","UserDefinedFunction.rst","UserGuide.rst","UserGuide_TBD.rst","Visualization.rst","globals.rst","index.rst","index_logo_with_text.rst","mdf.rst","nback_nb.ipynb"],objects:{"psyneulink.core.components":{component:[13,0,0,"-"]},"psyneulink.core.components.component":{Component:[13,1,1,""]},"psyneulink.core.components.component.Component":{"function":[13,4,1,""],_check_args:[13,2,1,""],_check_for_composition:[13,2,1,""],_deferred_init:[13,2,1,""],_dependent_components:[13,3,1,""],_get_allowed_arguments:[13,2,1,""],_get_param_value_from_tuple:[13,2,1,""],_handle_default_variable:[13,2,1,""],_handle_input_shapes:[13,2,1,""],_initialize_parameters:[13,2,1,""],_instantiate_defaults:[13,2,1,""],_instantiate_function:[13,2,1,""],_instantiate_parameter_classes:[13,2,1,""],_model_spec_class_name_is_generic:[13,4,1,""],_model_spec_generic_type_name:[13,4,1,""],_model_spec_parameter_blacklist:[13,3,1,""],_parameter_components:[13,3,1,""],_parse_arg_generic:[13,2,1,""],_parse_arg_variable:[13,2,1,""],_parse_function_variable:[13,2,1,""],_parse_input_shapes:[13,2,1,""],_receiver_ports:[13,3,1,""],_sender_ports:[13,3,1,""],_set_multiple_parameter_values:[13,2,1,""],_specified_variable_shape_flexibility:[13,4,1,""],_validate:[13,2,1,""],_validate_and_assign_runtime_params:[13,2,1,""],_validate_arguments:[13,2,1,""],_validate_function:[13,2,1,""],_validate_params:[13,2,1,""],_validate_variable:[13,2,1,""],all_dependent_parameters:[13,2,1,""],current_execution_time:[13,4,1,""],defaults:[13,4,1,""],execute:[13,2,1,""],execute_until_finished:[13,4,1,""],execution_count:[13,4,1,""],function_parameters:[13,3,1,""],get_afferents:[13,2,1,""],get_efferents:[13,2,1,""],initialization_status:[13,4,1,""],input_shapes:[13,4,1,""],is_finished:[13,2,1,""],log:[13,4,1,""],log_values:[13,2,1,""],loggable_items:[13,3,1,""],logged_items:[13,3,1,""],max_executions_before_finished:[13,4,1,""],most_recent_context:[13,3,1,""],name:[13,4,1,""],num_executions:[13,4,1,""],num_executions_before_finished:[13,4,1,""],parameters:[13,4,1,""],prefs:[13,4,1,""],reset:[13,2,1,""],reset_params:[13,2,1,""],reset_stateful_function_when:[13,4,1,""],set_delivery_conditions:[13,2,1,""],set_log_conditions:[13,2,1,""],stateful_parameters:[13,3,1,"id0"],value:[13,4,1,""],variable:[13,4,1,""]},"psyneulink.core.components.functions":{"function":[40,0,0,"-"],distributionfunctions:[33,0,0,"-"],learningfunctions:[59,0,0,"-"],objectivefunctions:[81,0,0,"-"],optimizationfunctions:[85,0,0,"-"],selectionfunctions:[109,0,0,"-"],transformfunctions:[120,0,0,"-"],userdefinedfunction:[121,0,0,"-"]},"psyneulink.core.components.functions.distributionfunctions":{DistributionFunction:[33,1,1,""],DriftDiffusionAnalytical:[33,1,1,""],ExponentialDist:[33,1,1,""],GammaDist:[33,1,1,""],NormalDist:[33,1,1,""],UniformDist:[33,1,1,""],UniformToNormalDist:[33,1,1,""],WaldDist:[33,1,1,""]},"psyneulink.core.components.functions.distributionfunctions.DriftDiffusionAnalytical":{_compute_conditional_rt_moments:[33,2,1,""],_function:[33,2,1,""],bias:[33,4,1,""],derivative:[33,2,1,""],drift_rate:[33,4,1,""],name:[33,4,1,""],noise:[33,4,1,""],non_decision_time:[33,4,1,""],owner:[33,4,1,""],prefs:[33,4,1,""],shenhav_et_al_compat_mode:[33,3,1,""],starting_value:[33,4,1,""],threshold:[33,4,1,""],variable:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.ExponentialDist":{beta:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.GammaDist":{dist_shape:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""],scale:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.NormalDist":{_validate_params:[33,2,1,""],mean:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""],standard_deviation:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.UniformDist":{high:[33,4,1,""],low:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""]},"psyneulink.core.components.functions.distributionfunctions.UniformToNormalDist":{mean:[33,4,1,""],name:[33,4,1,""],owner:[33,4,1,""],params:[33,4,1,""],prefs:[33,4,1,""],random_state:[33,4,1,""],standard_deviation:[33,4,1,""]},"psyneulink.core.components.functions.function":{ArgumentTherapy:[40,1,1,""],Function_Base:[40,1,1,""],RandomMatrix:[40,1,1,""]},"psyneulink.core.components.functions.function.ArgumentTherapy":{Manner:[40,1,1,""],_function:[40,2,1,""],_validate_params:[40,2,1,""],_validate_variable:[40,2,1,""],name:[40,4,1,""],owner:[40,4,1,""],pertinacity:[40,4,1,""],prefs:[40,4,1,""],propensity:[40,4,1,""],variable:[40,4,1,""]},"psyneulink.core.components.functions.function.Function_Base":{"function":[40,4,1,""],_assign_to_mdf_model:[40,2,1,""],_get_pytorch_fct_param_value:[40,2,1,""],_model_spec_parameter_blacklist:[40,3,1,""],_parse_arg_generic:[40,2,1,""],_validate_parameter_spec:[40,2,1,""],name:[40,4,1,""],owner:[40,4,1,""],prefs:[40,4,1,""],value:[40,4,1,""],variable:[40,4,1,""]},"psyneulink.core.components.functions.function.RandomMatrix":{center:[40,4,1,""],range:[40,4,1,""]},"psyneulink.core.components.functions.learningfunctions":{BackPropagation:[59,1,1,""],BayesGLM:[59,1,1,""],ContrastiveHebbian:[59,1,1,""],Hebbian:[59,1,1,""],Kohonen:[59,1,1,""],LearningFunction:[59,1,1,""],Reinforcement:[59,1,1,""],TDLearning:[59,1,1,""]},"psyneulink.core.components.functions.learningfunctions.BackPropagation":{_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],activation_derivative_fct:[59,4,1,""],activation_input:[59,4,1,""],activation_output:[59,4,1,""],covariates:[59,4,1,""],error_matrix:[59,4,1,""],error_signal:[59,4,1,""],learning_rate:[59,4,1,""],loss_spec:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.BayesGLM":{Lambda_n:[59,4,1,""],Lambda_prior:[59,4,1,""],_function:[59,2,1,""],_handle_default_variable:[59,2,1,""],gamma_shape_0:[59,4,1,""],gamma_shape_n:[59,4,1,""],gamma_shape_prior:[59,4,1,""],gamma_size_0:[59,4,1,""],gamma_size_n:[59,4,1,""],gamma_size_prior:[59,4,1,""],initialize_priors:[59,2,1,""],mu_0:[59,4,1,""],mu_n:[59,4,1,""],mu_prior:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],random_state:[59,4,1,""],reset:[59,2,1,""],sample_weights:[59,2,1,""],sigma_0:[59,4,1,""],variable:[59,4,1,""],weights_sample:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.ContrastiveHebbian":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],learning_rate:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.Hebbian":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],learning_rate:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.Kohonen":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],learning_rate:[59,4,1,""],owner:[59,4,1,""],prefs:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.LearningFunction":{learning_rate:[59,4,1,""],variable:[59,4,1,""]},"psyneulink.core.components.functions.learningfunctions.Reinforcement":{"function":[59,4,1,""],_function:[59,2,1,""],_validate_params:[59,2,1,""],_validate_variable:[59,2,1,""],activation_input:[59,4,1,""],activation_output:[59,4,1,""],error_sig
...

See CI logs for the full diff.

[coveralls]

coverage: 83.896% (+0.004%) from 83.892%
when pulling 3de2565 on patch/bias_nodes
into bc850c4 on devel.

[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

diff -r docs-base/Component.html docs-head/Component.html
522c522
< <li><p><strong>execute_until_finished</strong> – determines whether the Component executes until its <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method returns True.
---
> <li><p><strong>execute_until_finished</strong> – determines whether the Component executes until its <a class="reference internal" href="#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method returns True.
524,525c524,525
< irrespective of its <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method;  if it is True then, depending on how its class implements and handles its
< <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method, the Component may execute more than once per call to its <a class="reference internal" href="#psyneulink.core.components.component.Component.execute" title="psyneulink.core.components.component.Component.execute"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">execute</span></code></a> method.</p></li>
---
> irrespective of its <a class="reference internal" href="#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method;  if it is True then, depending on how its class implements and handles its
> <a class="reference internal" href="#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method, the Component may execute more than once per call to its <a class="reference internal" href="#psyneulink.core.components.component.Component.execute" title="psyneulink.core.components.component.Component.execute"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">execute</span></code></a> method.</p></li>
530c530
< <a class="reference internal" href="#psyneulink.core.components.component.Component.execute" title="psyneulink.core.components.component.Component.execute"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">execute</span></code></a> method, or extend over several calls.  It is set to 0 each time <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> evaluates
---
> <a class="reference internal" href="#psyneulink.core.components.component.Component.execute" title="psyneulink.core.components.component.Component.execute"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">execute</span></code></a> method, or extend over several calls.  It is set to 0 each time <a class="reference internal" href="#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> evaluates
diff -r docs-base/Composition.html docs-head/Composition.html
618,623c618,624
< Node, that can also be modified by <a class="reference internal" href="#composition-learning"><span class="std std-ref">learning</span></a>. A bias Node is implemented by adding a
< <a class="reference internal" href="ProcessingMechanism.html"><span class="doc">ProcessingMechanism</span></a> to the Composition and requiring it to have the <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole.BIAS" title="psyneulink.core.compositions.composition.NodeRole.BIAS"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">BIAS</span></code></a> <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRole</span></code></a>. The ProcessingMechanims
< cannot have any afferent Projections, and should project to the <a class="reference internal" href="InputPort.html"><span class="doc">InputPort</span></a> containing the values to be biased. If
< the bias is to be learned, the <code class="xref any docutils literal notranslate"><span class="pre">learnable</span></code> attribute of the MappingProjeciton
< should be set to True. The value of the bias, and how it is applied to the values being biased are specified as
< described below:</p>
---
> Node, that can also be modified by <a class="reference internal" href="#composition-learning"><span class="std std-ref">learning</span></a>. A BIAS Node is implemented by adding a
> <a class="reference internal" href="ProcessingMechanism.html"><span class="doc">ProcessingMechanism</span></a> to the Composition and requiring it to have the <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole.BIAS" title="psyneulink.core.compositions.composition.NodeRole.BIAS"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">BIAS</span></code></a> <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRole</span></code></a>. This can be done using
> any of the methods described <a class="reference internal" href="#composition-nodes"><span class="std std-ref">above</span></a> for assigning <a class="reference internal" href="#psyneulink.core.compositions.composition.NodeRole" title="psyneulink.core.compositions.composition.NodeRole"><code class="xref any py py-class docutils literal notranslate"><span class="pre">NodeRoles</span></code></a> tp a Node. The
> ProcessingMechanism cannot have any afferent Projections, and should project to the <a class="reference internal" href="InputPort.html"><span class="doc">InputPort</span></a> of the Node with
> the values to be biased. If the bias is to be learned, the <code class="xref any docutils literal notranslate"><span class="pre">learnable</span></code> attribute of
> the MappingProjeciton should be set to True. The value of the bias, and how it is applied to the values being biased
> are specified as described below:</p>
diff -r docs-base/Condition.html docs-head/Condition.html
463c463
< satisfied when the <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method of the specified node,       given <a class="reference internal" href="Context.html#psyneulink.core.globals.context.Context.execution_id" title="psyneulink.core.globals.context.Context.execution_id"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">execution_id</span></code></a> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
---
> satisfied when the <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method of the specified node,       given <a class="reference internal" href="Context.html#psyneulink.core.globals.context.Context.execution_id" title="psyneulink.core.globals.context.Context.execution_id"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">execution_id</span></code></a> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
465c465
< satisfied when the <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method of any of the specified       nodes, given <a class="reference internal" href="Context.html#psyneulink.core.globals.context.Context.execution_id" title="psyneulink.core.globals.context.Context.execution_id"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">execution_id</span></code></a> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
---
> satisfied when the <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method of any of the specified       nodes, given <a class="reference internal" href="Context.html#psyneulink.core.globals.context.Context.execution_id" title="psyneulink.core.globals.context.Context.execution_id"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">execution_id</span></code></a> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
467c467
< satisfied when the <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method of all of the specified       nodes, given <a class="reference internal" href="Context.html#psyneulink.core.globals.context.Context.execution_id" title="psyneulink.core.globals.context.Context.execution_id"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">execution_id</span></code></a> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
---
> satisfied when the <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> method of all of the specified       nodes, given <a class="reference internal" href="Context.html#psyneulink.core.globals.context.Context.execution_id" title="psyneulink.core.globals.context.Context.execution_id"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">execution_id</span></code></a> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
2154c2154
< <li><p>the <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> methods of the node specified in <strong>dependencies</strong> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
---
> <li><p>the <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> methods of the node specified in <strong>dependencies</strong> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
2177c2177
< <li><p>the <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> methods of all nodes specified in <strong>dependencies</strong> return <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
---
> <li><p>the <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> methods of all nodes specified in <strong>dependencies</strong> return <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
2203c2203
< <li><p>the <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> methods of any nodes specified in <strong>dependencies</strong> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
---
> <li><p>the <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> methods of any nodes specified in <strong>dependencies</strong> returns <code class="xref any docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
diff -r docs-base/LCAMechanism.html docs-head/LCAMechanism.html
345c345
< <li><p><strong>threshold</strong> (<em>float</em><em> or </em><em>None : default None</em>) – specifes the value at which the Mechanism’s <a class="reference internal" href="DDM.html#psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished" title="psyneulink.library.components.mechanisms.processing.integrator.ddm.DDM.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> attribute is set to True
---
> <li><p><strong>threshold</strong> (<em>float</em><em> or </em><em>None : default None</em>) – specifes the value at which the Mechanism’s <a class="reference internal" href="Component.html#psyneulink.core.components.component.Component.is_finished" title="psyneulink.core.components.component.Component.is_finished"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">is_finished</span></code></a> attribute is set to True
diff -r docs-base/LearningFunctions.html docs-he
...

See CI logs for the full diff.