Bases: tvb.basic.neotraits._core.HasTraits
metrics : tvb.core.entities.file.simulator.datatype_measure_h5.DatatypeMeasure.metrics = Attr(field_type=<class ‘dict’>, default=None, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
An Attr declares the following about the attribute it describes: * the type * a default value shared by all instances * if the value might be missing * documentation It will resolve to attributes on the instance.
An Attr declares the following about the attribute it describes: * the type * a default value shared by all instances * if the value might be missing * documentation It will resolve to attributes on the instance.
Bases: tvb.basic.neotraits._core.HasTraits
Simulation State, prepared for H5 file storage.
history : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.history = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
current_state : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.current_state = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
current_step : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.current_step = Int(field_type=<class ‘int’>, default=0, required=True)
monitor_stock_1 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_1 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_2 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_2 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_3 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_3 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_4 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_4 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_5 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_5 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_6 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_6 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_7 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_7 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_8 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_8 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_9 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_9 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_10 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_10 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_11 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_11 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_12 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_12 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_13 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_13 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_14 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_14 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_stock_15 : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_stock_15 = NArray(label=’‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
monitor_names : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.monitor_names = List(of=<class ‘str’>, default=(), required=True)
integrator_noise_rng_state_algo : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.integrator_noise_rng_state_algo = Attr(field_type=<class ‘str’>, default=None, required=False)
integrator_noise_rng_state_keys : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.integrator_noise_rng_state_keys = NArray(label=’‘, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
integrator_noise_rng_state_pos : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.integrator_noise_rng_state_pos = Int(field_type=<class ‘int’>, default=0, required=False)
integrator_noise_rng_state_has_gauss : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.integrator_noise_rng_state_has_gauss = Int(field_type=<class ‘int’>, default=0, required=False)
integrator_noise_rng_state_cached_gauss : tvb.core.entities.file.simulator.simulation_history_h5.SimulationHistory.integrator_noise_rng_state_cached_gauss = Float(field_type=<class ‘float’>, default=0, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares an integer This is different from Attr(field_type=int). The former enforces int subtypes This allows all integer types, including numpy ones that can be safely cast to the declared type according to numpy rules
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
An Attr declares the following about the attribute it describes: * the type * a default value shared by all instances * if the value might be missing * documentation It will resolve to attributes on the instance.
Declares a float. This is different from Attr(field_type=float). The former enforces float subtypes. This allows any type that can be safely cast to the declared float type according to numpy rules.
Reading and writing this attribute is slower than a plain python attribute. In performance sensitive code you might want to use plain python attributes or even better local variables.
Declares an integer This is different from Attr(field_type=int). The former enforces int subtypes This allows all integer types, including numpy ones that can be safely cast to the declared type according to numpy rules
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares an integer This is different from Attr(field_type=int). The former enforces int subtypes This allows all integer types, including numpy ones that can be safely cast to the declared type according to numpy rules
The attribute is a list of values. Choices and type are reinterpreted as applying not to the list but to the elements of it
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Declares a numpy array. dtype enforces the dtype. The default dtype is float32. An optional symbolic shape can be given, as a tuple of Dim attributes from the owning class. The shape will be enforced, but no broadcasting will be done. domain declares what values are allowed in this array. It can be any object that can be checked for membership Defaults are checked if they are in the declared domain. For performance reasons this does not happen on every attribute set.
Bases: tvb.core.entities.file.simulator.view_model.NoiseViewModel, tvb.simulator.noise.Additive
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.BoldViewModel, tvb.simulator.monitors.BoldRegionROI
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.Bold
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.neotraits.view_model.ViewModel, tvb.datatypes.cortex.Cortex
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Keep a GID but also link the type of DataType it should point to
Keep a GID but also link the type of DataType it should point to
Keep a GID but also link the type of DataType it should point to
Bases: tvb.core.entities.file.simulator.view_model.IntegratorStochasticViewModel, tvb.simulator.integrators.Dop853Stochastic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.Dop853
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorStochasticViewModel, tvb.simulator.integrators.Dopri5Stochastic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.Dopri5
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.ProjectionViewModel, tvb.simulator.monitors.EEG
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Keep a GID but also link the type of DataType it should point to
Keep a GID but also link the type of DataType it should point to
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.EulerDeterministic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorStochasticViewModel, tvb.simulator.integrators.EulerStochastic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.GlobalAverage
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.HeunDeterministic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorStochasticViewModel, tvb.simulator.integrators.HeunStochastic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.Identity
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.IntegratorStochastic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
An Attr declares the following about the attribute it describes: * the type * a default value shared by all instances * if the value might be missing * documentation It will resolve to attributes on the instance.
Bases: tvb.core.neotraits.view_model.ViewModel, tvb.simulator.integrators.Integrator
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.ProjectionViewModel, tvb.simulator.monitors.MEG
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Keep a GID but also link the type of DataType it should point to
Keep a GID but also link the type of DataType it should point to
Bases: tvb.core.neotraits.view_model.ViewModel, tvb.simulator.monitors.Monitor
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.NoiseViewModel, tvb.simulator.noise.Multiplicative
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.neotraits.view_model.ViewModel, tvb.simulator.noise.Noise
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.Projection
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Keep a GID but also link the type of DataType it should point to
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.Raw
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
period : tvb.simulator.monitors.Raw.period = Float(field_type=<class ‘float’>, default=0.0, required=True)
variables_of_interest : tvb.simulator.monitors.Raw.variables_of_interest = NArray(label=’Raw Monitor sees all!!! Resistance is futile...’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.RungeKutta4thOrderDeterministic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.neotraits.view_model.ViewModel, tvb.simulator.simulator.Simulator
history_gid : tvb.core.entities.file.simulator.view_model.SimulatorAdapterModel.history_gid = DataTypeGidAttr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Keep a GID but also link the type of DataType it should point to
Keep a GID but also link the type of DataType it should point to
An Attr declares the following about the attribute it describes: * the type * a default value shared by all instances * if the value might be missing * documentation It will resolve to attributes on the instance.
The attribute is a list of values. Choices and type are reinterpreted as applying not to the list but to the elements of it
Keep a GID but also link the type of DataType it should point to
An Attr declares the following about the attribute it describes: * the type * a default value shared by all instances * if the value might be missing * documentation It will resolve to attributes on the instance.
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.SpatialAverage
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.SubSample
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.MonitorViewModel, tvb.simulator.monitors.TemporalAverage
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorStochasticViewModel, tvb.simulator.integrators.VODEStochastic
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.IntegratorViewModel, tvb.simulator.integrators.VODE
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
bounded_state_variable_indices : tvb.simulator.integrators.Integrator.bounded_state_variable_indices = NArray(label=”indices of the state variables to be bounded by the integrators within the boundaries in the boundaries’ values array”, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
state_variable_boundaries : tvb.simulator.integrators.Integrator.state_variable_boundaries = NArray(label=’The boundary values of the state variables’, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_indices : tvb.simulator.integrators.Integrator.clamped_state_variable_indices = NArray(label=’indices of the state variables to be clamped by the integrators to the values in the clamped_values array’, dtype=int64, default=None, dim_names=(), ndim=None, required=False)
clamped_state_variable_values : tvb.simulator.integrators.Integrator.clamped_state_variable_values = NArray(label=’The values of the state variables which are clamped ‘, dtype=float64, default=None, dim_names=(), ndim=None, required=False)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Bases: tvb.core.entities.file.simulator.view_model.ProjectionViewModel, tvb.simulator.monitors.iEEG
operation_group_gid : tvb.core.neotraits.view_model.ViewModel.operation_group_gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=False)
ranges : tvb.core.neotraits.view_model.ViewModel.ranges = Attr(field_type=<class ‘str’>, default=None, required=False)
range_values : tvb.core.neotraits.view_model.ViewModel.range_values = Attr(field_type=<class ‘str’>, default=None, required=False)
is_metric_operation : tvb.core.neotraits.view_model.ViewModel.is_metric_operation = Attr(field_type=<class ‘bool’>, default=False, required=True)
sigma : tvb.simulator.monitors.iEEG.sigma = Float(field_type=<class ‘float’>, default=1.0, required=True)
gid : tvb.basic.neotraits._core.HasTraits.gid = Attr(field_type=<class ‘uuid.UUID’>, default=None, required=True)
Keep a GID but also link the type of DataType it should point to
Keep a GID but also link the type of DataType it should point to