double_sellar.py

class openmdao.test_suite.components.double_sellar.DoubleSellar(units=None, scaling=None, **kwargs)

Bases: Group

Attributes:

comm

Return the MPI communicator object for the system.

linear_solver

Get the linear solver for this system.

model_options

Get the model options from self._problem_meta.

msginfo

Our instance pathname, if available, or our class name.

nonlinear_solver

Get the nonlinear solver for this system.

under_approx

Return True if under complex step or finite difference.

Methods

abs_meta_iter(iotype[, local, cont, discrete])	Iterate over absolute variable names and their metadata for this System.
add_constraint(name[, lower, upper, equals, ...])	Add a constraint variable to this system.
add_design_var(name[, lower, upper, ref, ...])	Add a design variable to this system.
add_objective(name[, ref, ref0, index, ...])	Add a response variable to this system.
add_recorder(recorder[, recurse])	Add a recorder to the system.
add_response(name, type_[, lower, upper, ...])	Add a response variable to this system.
add_subsystem(name, subsys[, promotes, ...])	Add a subsystem.
approx_totals([method, step, form, step_calc])	Approximate derivatives for a Group using the specified approximation method.
best_partial_deriv_direction()	Return the best direction for partial deriv calculations based on input and output sizes.
check_config(logger)	Perform optional error checks.
cleanup()	Clean up resources prior to exit.
comm_info_iter()	Yield comm size for this system and all subsystems.
compute_sparsity([direction, num_iters, ...])	Compute the sparsity of the partial jacobian.
compute_sys_graph([comps_only, add_edge_info])	Compute a dependency graph for subsystems in this group.
configure()	Configure this group to assign children settings.
connect(src_name, tgt_name[, src_indices, ...])	Connect source src_name to target tgt_name in this namespace.
convert2units(name, val, units)	Convert the given value to the specified units.
convert_from_units(name, val, units)	Convert the given value from the specified units to those of the named variable.
convert_units(name, val, units_from, units_to)	Wrap the utility convert_units and give a good error message.
declare_coloring([wrt, method, form, step, ...])	Set options for deriv coloring of a set of wrt vars matching the given pattern(s).
dist_size_iter(io, top_comm)	Yield names and distributed ranges of all local and remote variables in this system.
get_coloring_fname(mode)	Return the full pathname to a coloring file.
get_conn_graph()	Return the model connection graph.
get_constraints([recurse, get_sizes, ...])	Get the Constraint settings from this system.
get_design_vars([recurse, get_sizes, ...])	Get the DesignVariable settings from this system.
get_indep_vars(local[, include_discrete])	Return a dict of independant variables contained in this group or any of its subgroups.
get_io_metadata([iotypes, metadata_keys, ...])	Retrieve metadata for a filtered list of variables.
get_linear_vectors()	Return the linear inputs, outputs, and residuals vectors.
get_nonlinear_vectors()	Return the inputs, outputs, and residuals vectors.
get_objectives([recurse, get_sizes, ...])	Get the Objective settings from this system.
get_outputs_dir(*subdirs[, mkdir])	Get the path under which all output files of this system are to be placed.
get_promotions([inprom, outprom])	Return all promotions for the given promoted variable(s).
get_reports_dir()	Get the path to the directory where the report files should go.
get_responses([recurse, get_sizes, use_prom_ivc])	Get the response variable settings from this system.
get_self_statics()	Override this in derived classes if compute_primal references static values.
get_source(name)	Return the source variable connected to the given named variable.
get_val(name[, units, indices, get_remote, ...])	Get an output/input/residual variable.
get_var_dup_info(name, io)	Return information about how the given variable is duplicated across MPI processes.
get_var_sizes(name, io)	Return the sizes of the given variable on all procs.
guess_nonlinear(inputs, outputs, residuals)	Provide initial guess for states.
has_vectors()	Check if the system vectors have been initialized.
initialize()	Perform any one-time initialization run at instantiation.
is_explicit([is_comp])	Return True if this Group contains only explicit systems and has no cycles.
list_inputs([val, prom_name, units, shape, ...])	Write a list of input names and other optional information to a specified stream.
list_options([include_default, ...])	Write a list of output names and other optional information to a specified stream.
list_outputs([explicit, implicit, val, ...])	Write a list of output names and other optional information to a specified stream.
list_vars([val, prom_name, residuals, ...])	Write a list of inputs and outputs sorted by component in execution order.
load_case(case)	Pull all input and output variables from a Case into this System.
load_model_options()	Load the relevant model options from Problem._metadata['model_options'].
promotes(subsys_name[, any, inputs, ...])	Promote a variable in the model tree.
record_iteration()	Record an iteration of the current System.
run_apply_linear(mode[, scope_out, scope_in])	Compute jac-vec product.
run_apply_nonlinear()	Compute residuals.
run_linearize([sub_do_ln, driver])	Compute jacobian / factorization.
run_solve_linear(mode)	Apply inverse jac product.
run_solve_nonlinear()	Compute outputs.
run_validation()	Run validate method on all systems below this system.
set_constraint_options(name[, ref, ref0, ...])	Set options for constraints in the model.
set_design_var_options(name[, lower, upper, ...])	Set options for design vars in the model.
set_initial_values()	Set all input and output variables to their declared initial values.
set_input_defaults(name[, val, units, src_shape])	Specify metadata to be assumed when multiple inputs are promoted to the same name.
set_objective_options(name[, ref, ref0, ...])	Set options for objectives in the model.
set_order(new_order)	Specify a new execution order for subsystems in this group.
set_output_solver_options(name[, lower, ...])	Set solver output options.
set_solver_print([level, depth, type_, ...])	Control printing for solvers and subsolvers in the model.
set_val(name, val[, units, indices])	Set an input or output variable.
setup()	Build this group.
sparsity_matches_fd([direction, outstream])	Compare the sparsity computed by this system vs.
subjac_sparsity_iter(sparsity[, wrt_matches])	Iterate over sparsity for each subjac in the jacobian.
system_iter([include_self, recurse, typ, ...])	Yield a generator of local subsystems of this system.
total_local_size(io)	Return the total local size of the given variable.
use_fixed_coloring([coloring, recurse])	Use a precomputed coloring for this System.
uses_approx()	Return True if the system uses approximations to compute derivatives.
validate(inputs, outputs[, discrete_inputs, ...])	Check any final input / output values after a run.

display_conn_graph
display_dataflow_graph

__init__(units=None, scaling=None, **kwargs)

Set the solvers to nonlinear and linear block Gauss–Seidel by default.

class openmdao.test_suite.components.double_sellar.DoubleSellarImplicit(units=None, scaling=None, **kwargs)

Bases: Group

Attributes:

comm

Return the MPI communicator object for the system.

linear_solver

Get the linear solver for this system.

model_options

Get the model options from self._problem_meta.

msginfo

Our instance pathname, if available, or our class name.

nonlinear_solver

Get the nonlinear solver for this system.

under_approx

Return True if under complex step or finite difference.

Methods

abs_meta_iter(iotype[, local, cont, discrete])	Iterate over absolute variable names and their metadata for this System.
add_constraint(name[, lower, upper, equals, ...])	Add a constraint variable to this system.
add_design_var(name[, lower, upper, ref, ...])	Add a design variable to this system.
add_objective(name[, ref, ref0, index, ...])	Add a response variable to this system.
add_recorder(recorder[, recurse])	Add a recorder to the system.
add_response(name, type_[, lower, upper, ...])	Add a response variable to this system.
add_subsystem(name, subsys[, promotes, ...])	Add a subsystem.
approx_totals([method, step, form, step_calc])	Approximate derivatives for a Group using the specified approximation method.
best_partial_deriv_direction()	Return the best direction for partial deriv calculations based on input and output sizes.
check_config(logger)	Perform optional error checks.
cleanup()	Clean up resources prior to exit.
comm_info_iter()	Yield comm size for this system and all subsystems.
compute_sparsity([direction, num_iters, ...])	Compute the sparsity of the partial jacobian.
compute_sys_graph([comps_only, add_edge_info])	Compute a dependency graph for subsystems in this group.
configure()	Configure this group to assign children settings.
connect(src_name, tgt_name[, src_indices, ...])	Connect source src_name to target tgt_name in this namespace.
convert2units(name, val, units)	Convert the given value to the specified units.
convert_from_units(name, val, units)	Convert the given value from the specified units to those of the named variable.
convert_units(name, val, units_from, units_to)	Wrap the utility convert_units and give a good error message.
declare_coloring([wrt, method, form, step, ...])	Set options for deriv coloring of a set of wrt vars matching the given pattern(s).
dist_size_iter(io, top_comm)	Yield names and distributed ranges of all local and remote variables in this system.
get_coloring_fname(mode)	Return the full pathname to a coloring file.
get_conn_graph()	Return the model connection graph.
get_constraints([recurse, get_sizes, ...])	Get the Constraint settings from this system.
get_design_vars([recurse, get_sizes, ...])	Get the DesignVariable settings from this system.
get_indep_vars(local[, include_discrete])	Return a dict of independant variables contained in this group or any of its subgroups.
get_io_metadata([iotypes, metadata_keys, ...])	Retrieve metadata for a filtered list of variables.
get_linear_vectors()	Return the linear inputs, outputs, and residuals vectors.
get_nonlinear_vectors()	Return the inputs, outputs, and residuals vectors.
get_objectives([recurse, get_sizes, ...])	Get the Objective settings from this system.
get_outputs_dir(*subdirs[, mkdir])	Get the path under which all output files of this system are to be placed.
get_promotions([inprom, outprom])	Return all promotions for the given promoted variable(s).
get_reports_dir()	Get the path to the directory where the report files should go.
get_responses([recurse, get_sizes, use_prom_ivc])	Get the response variable settings from this system.
get_self_statics()	Override this in derived classes if compute_primal references static values.
get_source(name)	Return the source variable connected to the given named variable.
get_val(name[, units, indices, get_remote, ...])	Get an output/input/residual variable.
get_var_dup_info(name, io)	Return information about how the given variable is duplicated across MPI processes.
get_var_sizes(name, io)	Return the sizes of the given variable on all procs.
guess_nonlinear(inputs, outputs, residuals)	Provide initial guess for states.
has_vectors()	Check if the system vectors have been initialized.
initialize()	Perform any one-time initialization run at instantiation.
is_explicit([is_comp])	Return True if this Group contains only explicit systems and has no cycles.
list_inputs([val, prom_name, units, shape, ...])	Write a list of input names and other optional information to a specified stream.
list_options([include_default, ...])	Write a list of output names and other optional information to a specified stream.
list_outputs([explicit, implicit, val, ...])	Write a list of output names and other optional information to a specified stream.
list_vars([val, prom_name, residuals, ...])	Write a list of inputs and outputs sorted by component in execution order.
load_case(case)	Pull all input and output variables from a Case into this System.
load_model_options()	Load the relevant model options from Problem._metadata['model_options'].
promotes(subsys_name[, any, inputs, ...])	Promote a variable in the model tree.
record_iteration()	Record an iteration of the current System.
run_apply_linear(mode[, scope_out, scope_in])	Compute jac-vec product.
run_apply_nonlinear()	Compute residuals.
run_linearize([sub_do_ln, driver])	Compute jacobian / factorization.
run_solve_linear(mode)	Apply inverse jac product.
run_solve_nonlinear()	Compute outputs.
run_validation()	Run validate method on all systems below this system.
set_constraint_options(name[, ref, ref0, ...])	Set options for constraints in the model.
set_design_var_options(name[, lower, upper, ...])	Set options for design vars in the model.
set_initial_values()	Set all input and output variables to their declared initial values.
set_input_defaults(name[, val, units, src_shape])	Specify metadata to be assumed when multiple inputs are promoted to the same name.
set_objective_options(name[, ref, ref0, ...])	Set options for objectives in the model.
set_order(new_order)	Specify a new execution order for subsystems in this group.
set_output_solver_options(name[, lower, ...])	Set solver output options.
set_solver_print([level, depth, type_, ...])	Control printing for solvers and subsolvers in the model.
set_val(name, val[, units, indices])	Set an input or output variable.
setup()	Build this group.
sparsity_matches_fd([direction, outstream])	Compare the sparsity computed by this system vs.
subjac_sparsity_iter(sparsity[, wrt_matches])	Iterate over sparsity for each subjac in the jacobian.
system_iter([include_self, recurse, typ, ...])	Yield a generator of local subsystems of this system.
total_local_size(io)	Return the total local size of the given variable.
use_fixed_coloring([coloring, recurse])	Use a precomputed coloring for this System.
uses_approx()	Return True if the system uses approximations to compute derivatives.
validate(inputs, outputs[, discrete_inputs, ...])	Check any final input / output values after a run.

display_conn_graph
display_dataflow_graph

__init__(units=None, scaling=None, **kwargs)

Set the solvers to nonlinear and linear block Gauss–Seidel by default.

class openmdao.test_suite.components.double_sellar.SubSellar(units=None, scaling=None, **kwargs)

Bases: Group

Attributes:

comm

Return the MPI communicator object for the system.

linear_solver

Get the linear solver for this system.

model_options

Get the model options from self._problem_meta.

msginfo

Our instance pathname, if available, or our class name.

nonlinear_solver

Get the nonlinear solver for this system.

under_approx

Return True if under complex step or finite difference.

Methods

abs_meta_iter(iotype[, local, cont, discrete])	Iterate over absolute variable names and their metadata for this System.
add_constraint(name[, lower, upper, equals, ...])	Add a constraint variable to this system.
add_design_var(name[, lower, upper, ref, ...])	Add a design variable to this system.
add_objective(name[, ref, ref0, index, ...])	Add a response variable to this system.
add_recorder(recorder[, recurse])	Add a recorder to the system.
add_response(name, type_[, lower, upper, ...])	Add a response variable to this system.
add_subsystem(name, subsys[, promotes, ...])	Add a subsystem.
approx_totals([method, step, form, step_calc])	Approximate derivatives for a Group using the specified approximation method.
best_partial_deriv_direction()	Return the best direction for partial deriv calculations based on input and output sizes.
check_config(logger)	Perform optional error checks.
cleanup()	Clean up resources prior to exit.
comm_info_iter()	Yield comm size for this system and all subsystems.
compute_sparsity([direction, num_iters, ...])	Compute the sparsity of the partial jacobian.
compute_sys_graph([comps_only, add_edge_info])	Compute a dependency graph for subsystems in this group.
configure()	Configure this group to assign children settings.
connect(src_name, tgt_name[, src_indices, ...])	Connect source src_name to target tgt_name in this namespace.
convert2units(name, val, units)	Convert the given value to the specified units.
convert_from_units(name, val, units)	Convert the given value from the specified units to those of the named variable.
convert_units(name, val, units_from, units_to)	Wrap the utility convert_units and give a good error message.
declare_coloring([wrt, method, form, step, ...])	Set options for deriv coloring of a set of wrt vars matching the given pattern(s).
dist_size_iter(io, top_comm)	Yield names and distributed ranges of all local and remote variables in this system.
get_coloring_fname(mode)	Return the full pathname to a coloring file.
get_conn_graph()	Return the model connection graph.
get_constraints([recurse, get_sizes, ...])	Get the Constraint settings from this system.
get_design_vars([recurse, get_sizes, ...])	Get the DesignVariable settings from this system.
get_indep_vars(local[, include_discrete])	Return a dict of independant variables contained in this group or any of its subgroups.
get_io_metadata([iotypes, metadata_keys, ...])	Retrieve metadata for a filtered list of variables.
get_linear_vectors()	Return the linear inputs, outputs, and residuals vectors.
get_nonlinear_vectors()	Return the inputs, outputs, and residuals vectors.
get_objectives([recurse, get_sizes, ...])	Get the Objective settings from this system.
get_outputs_dir(*subdirs[, mkdir])	Get the path under which all output files of this system are to be placed.
get_promotions([inprom, outprom])	Return all promotions for the given promoted variable(s).
get_reports_dir()	Get the path to the directory where the report files should go.
get_responses([recurse, get_sizes, use_prom_ivc])	Get the response variable settings from this system.
get_self_statics()	Override this in derived classes if compute_primal references static values.
get_source(name)	Return the source variable connected to the given named variable.
get_val(name[, units, indices, get_remote, ...])	Get an output/input/residual variable.
get_var_dup_info(name, io)	Return information about how the given variable is duplicated across MPI processes.
get_var_sizes(name, io)	Return the sizes of the given variable on all procs.
guess_nonlinear(inputs, outputs, residuals)	Provide initial guess for states.
has_vectors()	Check if the system vectors have been initialized.
initialize()	Perform any one-time initialization run at instantiation.
is_explicit([is_comp])	Return True if this Group contains only explicit systems and has no cycles.
list_inputs([val, prom_name, units, shape, ...])	Write a list of input names and other optional information to a specified stream.
list_options([include_default, ...])	Write a list of output names and other optional information to a specified stream.
list_outputs([explicit, implicit, val, ...])	Write a list of output names and other optional information to a specified stream.
list_vars([val, prom_name, residuals, ...])	Write a list of inputs and outputs sorted by component in execution order.
load_case(case)	Pull all input and output variables from a Case into this System.
load_model_options()	Load the relevant model options from Problem._metadata['model_options'].
promotes(subsys_name[, any, inputs, ...])	Promote a variable in the model tree.
record_iteration()	Record an iteration of the current System.
run_apply_linear(mode[, scope_out, scope_in])	Compute jac-vec product.
run_apply_nonlinear()	Compute residuals.
run_linearize([sub_do_ln, driver])	Compute jacobian / factorization.
run_solve_linear(mode)	Apply inverse jac product.
run_solve_nonlinear()	Compute outputs.
run_validation()	Run validate method on all systems below this system.
set_constraint_options(name[, ref, ref0, ...])	Set options for constraints in the model.
set_design_var_options(name[, lower, upper, ...])	Set options for design vars in the model.
set_initial_values()	Set all input and output variables to their declared initial values.
set_input_defaults(name[, val, units, src_shape])	Specify metadata to be assumed when multiple inputs are promoted to the same name.
set_objective_options(name[, ref, ref0, ...])	Set options for objectives in the model.
set_order(new_order)	Specify a new execution order for subsystems in this group.
set_output_solver_options(name[, lower, ...])	Set solver output options.
set_solver_print([level, depth, type_, ...])	Control printing for solvers and subsolvers in the model.
set_val(name, val[, units, indices])	Set an input or output variable.
setup()	Build this group.
sparsity_matches_fd([direction, outstream])	Compare the sparsity computed by this system vs.
subjac_sparsity_iter(sparsity[, wrt_matches])	Iterate over sparsity for each subjac in the jacobian.
system_iter([include_self, recurse, typ, ...])	Yield a generator of local subsystems of this system.
total_local_size(io)	Return the total local size of the given variable.
use_fixed_coloring([coloring, recurse])	Use a precomputed coloring for this System.
uses_approx()	Return True if the system uses approximations to compute derivatives.
validate(inputs, outputs[, discrete_inputs, ...])	Check any final input / output values after a run.

display_conn_graph
display_dataflow_graph

__init__(units=None, scaling=None, **kwargs)

Set the solvers to nonlinear and linear block Gauss–Seidel by default.

class openmdao.test_suite.components.double_sellar.SubSellarImplicit(units=None, scaling=None, **kwargs)

Bases: Group

Attributes:

comm

Return the MPI communicator object for the system.

linear_solver

Get the linear solver for this system.

model_options

Get the model options from self._problem_meta.

msginfo

Our instance pathname, if available, or our class name.

nonlinear_solver

Get the nonlinear solver for this system.

under_approx

Return True if under complex step or finite difference.

Methods

abs_meta_iter(iotype[, local, cont, discrete])	Iterate over absolute variable names and their metadata for this System.
add_constraint(name[, lower, upper, equals, ...])	Add a constraint variable to this system.
add_design_var(name[, lower, upper, ref, ...])	Add a design variable to this system.
add_objective(name[, ref, ref0, index, ...])	Add a response variable to this system.
add_recorder(recorder[, recurse])	Add a recorder to the system.
add_response(name, type_[, lower, upper, ...])	Add a response variable to this system.
add_subsystem(name, subsys[, promotes, ...])	Add a subsystem.
approx_totals([method, step, form, step_calc])	Approximate derivatives for a Group using the specified approximation method.
best_partial_deriv_direction()	Return the best direction for partial deriv calculations based on input and output sizes.
check_config(logger)	Perform optional error checks.
cleanup()	Clean up resources prior to exit.
comm_info_iter()	Yield comm size for this system and all subsystems.
compute_sparsity([direction, num_iters, ...])	Compute the sparsity of the partial jacobian.
compute_sys_graph([comps_only, add_edge_info])	Compute a dependency graph for subsystems in this group.
configure()	Configure this group to assign children settings.
connect(src_name, tgt_name[, src_indices, ...])	Connect source src_name to target tgt_name in this namespace.
convert2units(name, val, units)	Convert the given value to the specified units.
convert_from_units(name, val, units)	Convert the given value from the specified units to those of the named variable.
convert_units(name, val, units_from, units_to)	Wrap the utility convert_units and give a good error message.
declare_coloring([wrt, method, form, step, ...])	Set options for deriv coloring of a set of wrt vars matching the given pattern(s).
dist_size_iter(io, top_comm)	Yield names and distributed ranges of all local and remote variables in this system.
get_coloring_fname(mode)	Return the full pathname to a coloring file.
get_conn_graph()	Return the model connection graph.
get_constraints([recurse, get_sizes, ...])	Get the Constraint settings from this system.
get_design_vars([recurse, get_sizes, ...])	Get the DesignVariable settings from this system.
get_indep_vars(local[, include_discrete])	Return a dict of independant variables contained in this group or any of its subgroups.
get_io_metadata([iotypes, metadata_keys, ...])	Retrieve metadata for a filtered list of variables.
get_linear_vectors()	Return the linear inputs, outputs, and residuals vectors.
get_nonlinear_vectors()	Return the inputs, outputs, and residuals vectors.
get_objectives([recurse, get_sizes, ...])	Get the Objective settings from this system.
get_outputs_dir(*subdirs[, mkdir])	Get the path under which all output files of this system are to be placed.
get_promotions([inprom, outprom])	Return all promotions for the given promoted variable(s).
get_reports_dir()	Get the path to the directory where the report files should go.
get_responses([recurse, get_sizes, use_prom_ivc])	Get the response variable settings from this system.
get_self_statics()	Override this in derived classes if compute_primal references static values.
get_source(name)	Return the source variable connected to the given named variable.
get_val(name[, units, indices, get_remote, ...])	Get an output/input/residual variable.
get_var_dup_info(name, io)	Return information about how the given variable is duplicated across MPI processes.
get_var_sizes(name, io)	Return the sizes of the given variable on all procs.
guess_nonlinear(inputs, outputs, residuals)	Provide initial guess for states.
has_vectors()	Check if the system vectors have been initialized.
initialize()	Perform any one-time initialization run at instantiation.
is_explicit([is_comp])	Return True if this Group contains only explicit systems and has no cycles.
list_inputs([val, prom_name, units, shape, ...])	Write a list of input names and other optional information to a specified stream.
list_options([include_default, ...])	Write a list of output names and other optional information to a specified stream.
list_outputs([explicit, implicit, val, ...])	Write a list of output names and other optional information to a specified stream.
list_vars([val, prom_name, residuals, ...])	Write a list of inputs and outputs sorted by component in execution order.
load_case(case)	Pull all input and output variables from a Case into this System.
load_model_options()	Load the relevant model options from Problem._metadata['model_options'].
promotes(subsys_name[, any, inputs, ...])	Promote a variable in the model tree.
record_iteration()	Record an iteration of the current System.
run_apply_linear(mode[, scope_out, scope_in])	Compute jac-vec product.
run_apply_nonlinear()	Compute residuals.
run_linearize([sub_do_ln, driver])	Compute jacobian / factorization.
run_solve_linear(mode)	Apply inverse jac product.
run_solve_nonlinear()	Compute outputs.
run_validation()	Run validate method on all systems below this system.
set_constraint_options(name[, ref, ref0, ...])	Set options for constraints in the model.
set_design_var_options(name[, lower, upper, ...])	Set options for design vars in the model.
set_initial_values()	Set all input and output variables to their declared initial values.
set_input_defaults(name[, val, units, src_shape])	Specify metadata to be assumed when multiple inputs are promoted to the same name.
set_objective_options(name[, ref, ref0, ...])	Set options for objectives in the model.
set_order(new_order)	Specify a new execution order for subsystems in this group.
set_output_solver_options(name[, lower, ...])	Set solver output options.
set_solver_print([level, depth, type_, ...])	Control printing for solvers and subsolvers in the model.
set_val(name, val[, units, indices])	Set an input or output variable.
setup()	Build this group.
sparsity_matches_fd([direction, outstream])	Compare the sparsity computed by this system vs.
subjac_sparsity_iter(sparsity[, wrt_matches])	Iterate over sparsity for each subjac in the jacobian.
system_iter([include_self, recurse, typ, ...])	Yield a generator of local subsystems of this system.
total_local_size(io)	Return the total local size of the given variable.
use_fixed_coloring([coloring, recurse])	Use a precomputed coloring for this System.
uses_approx()	Return True if the system uses approximations to compute derivatives.
validate(inputs, outputs[, discrete_inputs, ...])	Check any final input / output values after a run.

display_conn_graph
display_dataflow_graph

__init__(units=None, scaling=None, **kwargs)

Set the solvers to nonlinear and linear block Gauss–Seidel by default.