rosetta.protocols.genetic_algorithm
index
(built-in)

Bindings for protocols::genetic_algorithm namespace

 
Classes
       
builtins.object
Entity
EntityElement
EntityElementCreator
EntityElementsEqual
EntityRandomizer
DiscreteRandomizer
PositionSpecificRandomizer
Mutate1Randomizer
FitnessFunction
GeneticAlgorithmBase
GeneticAlgorithm
Vec1Hash
rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t(builtins.object)
EntityElementFactory

 
class DiscreteRandomizer(EntityRandomizer)
    /////////////////////////////////////////////////////////////////////////////////////////////////
 
 
Method resolution order:
DiscreteRandomizer
EntityRandomizer
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(handle) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
add_choice(...) from builtins.PyCapsule
add_choice(self : rosetta.protocols.genetic_algorithm.DiscreteRandomizer, choice : rosetta.protocols.genetic_algorithm.EntityElement) -> NoneType
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.DiscreteRandomizer,  : rosetta.protocols.genetic_algorithm.DiscreteRandomizer) -> rosetta.protocols.genetic_algorithm.DiscreteRandomizer
choices(...) from builtins.PyCapsule
choices(rosetta.protocols.genetic_algorithm.DiscreteRandomizer) -> rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t
library_size(...) from builtins.PyCapsule
library_size(rosetta.protocols.genetic_algorithm.DiscreteRandomizer) -> int
mutate(...) from builtins.PyCapsule
mutate(self : rosetta.protocols.genetic_algorithm.DiscreteRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_choices(...) from builtins.PyCapsule
set_choices(self : rosetta.protocols.genetic_algorithm.DiscreteRandomizer, choices : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> NoneType

Methods inherited from EntityRandomizer:
crossover(...) from builtins.PyCapsule
crossover(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity1 : rosetta.protocols.genetic_algorithm.Entity, entity2 : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
entity_length(...) from builtins.PyCapsule
entity_length(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> int
entity_template(...) from builtins.PyCapsule
entity_template(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
mutation_rate(...) from builtins.PyCapsule
mutation_rate(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> float
random_entity(...) from builtins.PyCapsule
random_entity(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
set_entity_template(...) from builtins.PyCapsule
set_entity_template(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_mutation_rate(...) from builtins.PyCapsule
set_mutation_rate(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, rate : float) -> NoneType

 
class Entity(builtins.object)
    Entity: a vector of EntityElements used to describe the state for a system
under optimization.
 
  Methods defined here:
__eq__(...) from builtins.PyCapsule
__eq__(self : rosetta.protocols.genetic_algorithm.Entity, other : rosetta.protocols.genetic_algorithm.Entity) -> bool
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(handle) -> NoneType
 
2. __init__(handle, rosetta.protocols.genetic_algorithm.Entity) -> NoneType
 
3. __init__(self : handle, line : str) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
__str__(...) from builtins.PyCapsule
__str__(rosetta.protocols.genetic_algorithm.Entity) -> str
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.Entity,  : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
clone(...) from builtins.PyCapsule
clone(rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
fitness(...) from builtins.PyCapsule
fitness(rosetta.protocols.genetic_algorithm.Entity) -> float
fitness_valid(...) from builtins.PyCapsule
fitness_valid(rosetta.protocols.genetic_algorithm.Entity) -> bool
set_entity_element(...) from builtins.PyCapsule
set_entity_element(self : rosetta.protocols.genetic_algorithm.Entity, index : int, element : rosetta.protocols.genetic_algorithm.EntityElement) -> NoneType
set_fitness(...) from builtins.PyCapsule
set_fitness(self : rosetta.protocols.genetic_algorithm.Entity, val : float) -> NoneType
set_traits(...) from builtins.PyCapsule
set_traits(self : rosetta.protocols.genetic_algorithm.Entity, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> NoneType
set_traits_size(...) from builtins.PyCapsule
set_traits_size(self : rosetta.protocols.genetic_algorithm.Entity, size : int) -> NoneType
to_string(...) from builtins.PyCapsule
to_string(rosetta.protocols.genetic_algorithm.Entity) -> str
traits(...) from builtins.PyCapsule
traits(rosetta.protocols.genetic_algorithm.Entity) -> rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t
traits_string(...) from builtins.PyCapsule
traits_string(rosetta.protocols.genetic_algorithm.Entity) -> str

 
class EntityElement(builtins.object)
    Entity element
 
  Methods defined here:
__eq__(...) from builtins.PyCapsule
__eq__(self : rosetta.protocols.genetic_algorithm.EntityElement, rhs : rosetta.protocols.genetic_algorithm.EntityElement) -> bool
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(rosetta.protocols.genetic_algorithm.EntityElement) -> NoneType
 
2. __init__(self : rosetta.protocols.genetic_algorithm.EntityElement, index : int) -> NoneType
 
3. __init__(self : rosetta.protocols.genetic_algorithm.EntityElement, word : str) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.EntityElement, rhs : rosetta.protocols.genetic_algorithm.EntityElement) -> rosetta.protocols.genetic_algorithm.EntityElement
clone(...) from builtins.PyCapsule
clone(rosetta.protocols.genetic_algorithm.EntityElement) -> rosetta.protocols.genetic_algorithm.EntityElement
fresh_instance(...) from builtins.PyCapsule
fresh_instance(rosetta.protocols.genetic_algorithm.EntityElement) -> rosetta.protocols.genetic_algorithm.EntityElement
hash(...) from builtins.PyCapsule
hash(rosetta.protocols.genetic_algorithm.EntityElement) -> int
index(...) from builtins.PyCapsule
index(*args, **kwargs)
Overloaded function.
 
1. index(rosetta.protocols.genetic_algorithm.EntityElement) -> int
 
2. index(self : rosetta.protocols.genetic_algorithm.EntityElement, index : int) -> NoneType
name(...) from builtins.PyCapsule
name(rosetta.protocols.genetic_algorithm.EntityElement) -> str
to_string(...) from builtins.PyCapsule
to_string(rosetta.protocols.genetic_algorithm.EntityElement) -> str

 
class EntityElementCreator(builtins.object)
    Entity element creator
 
  Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(rosetta.protocols.genetic_algorithm.EntityElementCreator) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.EntityElementCreator,  : rosetta.protocols.genetic_algorithm.EntityElementCreator) -> rosetta.protocols.genetic_algorithm.EntityElementCreator
new_entity(...) from builtins.PyCapsule
new_entity(self : rosetta.protocols.genetic_algorithm.EntityElementCreator, word : str) -> rosetta.protocols.genetic_algorithm.EntityElement
widget_name(...) from builtins.PyCapsule
widget_name(rosetta.protocols.genetic_algorithm.EntityElementCreator) -> str

 
class EntityElementFactory(rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t)
    The %EntityElementFactory is responsible for instantiating entity elements
from strings.
 
 
Method resolution order:
EntityElementFactory
rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t
builtins.object

Methods defined here:
__init__(self, /, *args, **kwargs)
Initialize self.  See help(type(self)) for accurate signature.
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
element_from_string(...) from builtins.PyCapsule
element_from_string(self : rosetta.protocols.genetic_algorithm.EntityElementFactory,  : str) -> rosetta.protocols.genetic_algorithm.EntityElement
factory_name(...) from builtins.PyCapsule
factory_name(rosetta.protocols.genetic_algorithm.EntityElementFactory) -> str

Methods inherited from rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t:
assign(...) from builtins.PyCapsule
assign(self : rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t,  : rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t) -> rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t
factory_register(...) from builtins.PyCapsule
factory_register(self : rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t, creator : protocols::genetic_algorithm::EntityElementCreator) -> NoneType

 
class EntityElementsEqual(builtins.object)
     Methods defined here:
__call__(...) from builtins.PyCapsule
__call__(self : rosetta.protocols.genetic_algorithm.EntityElementsEqual, elems1 : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t, elems2 : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> bool
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(rosetta.protocols.genetic_algorithm.EntityElementsEqual) -> NoneType
 
2. __init__(self : rosetta.protocols.genetic_algorithm.EntityElementsEqual,  : rosetta.protocols.genetic_algorithm.EntityElementsEqual) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.EntityElementsEqual,  : rosetta.protocols.genetic_algorithm.EntityElementsEqual) -> rosetta.protocols.genetic_algorithm.EntityElementsEqual

 
class EntityRandomizer(builtins.object)
    /////////////////////////////////////////////////////////////////////////////////////////////////
 
  Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.EntityRandomizer,  : rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.EntityRandomizer
crossover(...) from builtins.PyCapsule
crossover(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity1 : rosetta.protocols.genetic_algorithm.Entity, entity2 : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
entity_length(...) from builtins.PyCapsule
entity_length(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> int
entity_template(...) from builtins.PyCapsule
entity_template(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
library_size(...) from builtins.PyCapsule
library_size(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> int
mutate(...) from builtins.PyCapsule
mutate(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
mutation_rate(...) from builtins.PyCapsule
mutation_rate(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> float
random_entity(...) from builtins.PyCapsule
random_entity(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
set_entity_template(...) from builtins.PyCapsule
set_entity_template(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_mutation_rate(...) from builtins.PyCapsule
set_mutation_rate(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, rate : float) -> NoneType

 
class FitnessFunction(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(rosetta.protocols.genetic_algorithm.FitnessFunction) -> NoneType
 
2. __init__(rosetta.protocols.genetic_algorithm.FitnessFunction, rosetta.protocols.genetic_algorithm.FitnessFunction) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.FitnessFunction,  : rosetta.protocols.genetic_algorithm.FitnessFunction) -> rosetta.protocols.genetic_algorithm.FitnessFunction
evaluate(...) from builtins.PyCapsule
evaluate(self : rosetta.protocols.genetic_algorithm.FitnessFunction, entity : rosetta.protocols.genetic_algorithm.Entity) -> float

 
class GeneticAlgorithm(GeneticAlgorithmBase)
    
Method resolution order:
GeneticAlgorithm
GeneticAlgorithmBase
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(handle) -> NoneType
 
2. __init__(handle, rosetta.protocols.genetic_algorithm.GeneticAlgorithm) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithm,  : rosetta.protocols.genetic_algorithm.GeneticAlgorithm) -> rosetta.protocols.genetic_algorithm.GeneticAlgorithm
evaluate_fitnesses(...) from builtins.PyCapsule
evaluate_fitnesses(rosetta.protocols.genetic_algorithm.GeneticAlgorithm) -> NoneType
set_func(...) from builtins.PyCapsule
set_func(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithm, f : rosetta.protocols.genetic_algorithm.FitnessFunction) -> NoneType

Data descriptors defined here:
fitness_function_

Methods inherited from GeneticAlgorithmBase:
add_entity(...) from builtins.PyCapsule
add_entity(*args, **kwargs)
Overloaded function.
 
1. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
 
2. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
add_parent_entity(...) from builtins.PyCapsule
add_parent_entity(*args, **kwargs)
Overloaded function.
 
1. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
 
2. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
add_parents_from_current_generation(...) from builtins.PyCapsule
add_parents_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
best_fitness_from_current_generation(...) from builtins.PyCapsule
best_fitness_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
clear_parents(...) from builtins.PyCapsule
clear_parents(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
complete(...) from builtins.PyCapsule
complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
curr_gen_entity(...) from builtins.PyCapsule
curr_gen_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, index : int) -> rosetta.protocols.genetic_algorithm.Entity
 
retreive a particular entity for the current generation
current_generation(...) from builtins.PyCapsule
current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
current_generation_begin(...) from builtins.PyCapsule
current_generation_begin(*args, **kwargs)
Overloaded function.
 
1. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
 
2. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
current_generation_complete(...) from builtins.PyCapsule
current_generation_complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
current_generation_end(...) from builtins.PyCapsule
current_generation_end(*args, **kwargs)
Overloaded function.
 
1. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
 
2. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
entities_checkpoint_filename(...) from builtins.PyCapsule
entities_checkpoint_filename(*args, **kwargs)
Overloaded function.
 
1. entities_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
 
2. entities_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
entity_template(...) from builtins.PyCapsule
entity_template(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
evolve_next_generation(...) from builtins.PyCapsule
evolve_next_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
fill_by_crossover(...) from builtins.PyCapsule
fill_by_crossover(*args, **kwargs)
Overloaded function.
 
1. fill_by_crossover(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_by_crossover(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fill_by_mutation(...) from builtins.PyCapsule
fill_by_mutation(*args, **kwargs)
Overloaded function.
 
1. fill_by_mutation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_by_mutation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fill_with_perturbations_of_existing_entities(...) from builtins.PyCapsule
fill_with_perturbations_of_existing_entities(*args, **kwargs)
Overloaded function.
 
1. fill_with_perturbations_of_existing_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_with_perturbations_of_existing_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fill_with_random_entities(...) from builtins.PyCapsule
fill_with_random_entities(*args, **kwargs)
Overloaded function.
 
1. fill_with_random_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_with_random_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fraction_by_recombination(...) from builtins.PyCapsule
fraction_by_recombination(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
generations(...) from builtins.PyCapsule
generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.utility.vector1_utility_vector1_std_shared_ptr_protocols_genetic_algorithm_Entity_std_allocator_std_shared_ptr_protocols_genetic_algorithm_Entity_t
generations_checkpoint_filename(...) from builtins.PyCapsule
generations_checkpoint_filename(*args, **kwargs)
Overloaded function.
 
1. generations_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
 
2. generations_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
max_generations(...) from builtins.PyCapsule
max_generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
max_population_size(...) from builtins.PyCapsule
max_population_size(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
new_entity(...) from builtins.PyCapsule
new_entity(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
number_to_propagate(...) from builtins.PyCapsule
number_to_propagate(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
population(...) from builtins.PyCapsule
population(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, gen_num : int) -> rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t
 
true const (read-only) access to entity population: new vector of const pointers
propagate_best_from_previous_generation(...) from builtins.PyCapsule
propagate_best_from_previous_generation(*args, **kwargs)
Overloaded function.
 
1. propagate_best_from_previous_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
 
3. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int, unique : bool) -> NoneType
read_checkpoint(...) from builtins.PyCapsule
read_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
read_entities_checkpoint(...) from builtins.PyCapsule
read_entities_checkpoint(*args, **kwargs)
Overloaded function.
 
1. read_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
 
for checkpointing fitness cache
 
2. read_entities_checkpoint(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, overwrite : bool) -> bool
 
for checkpointing fitness cache
read_generations_checkpoint(...) from builtins.PyCapsule
read_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
rename_checkpoint_files(...) from builtins.PyCapsule
rename_checkpoint_files(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
allows the prevention of accidental reuse of checkpoint files
set_checkpoint_gzip(...) from builtins.PyCapsule
set_checkpoint_gzip(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
set_checkpoint_prefix(...) from builtins.PyCapsule
set_checkpoint_prefix(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, p : str) -> NoneType
set_checkpoint_rename(...) from builtins.PyCapsule
set_checkpoint_rename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
set_checkpoint_write_interval(...) from builtins.PyCapsule
set_checkpoint_write_interval(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, i : int) -> NoneType
set_entity_template(...) from builtins.PyCapsule
set_entity_template(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_frac_by_recomb(...) from builtins.PyCapsule
set_frac_by_recomb(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, f : float) -> NoneType
set_max_generations(...) from builtins.PyCapsule
set_max_generations(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
set_max_pop_size(...) from builtins.PyCapsule
set_max_pop_size(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
set_num_to_propagate(...) from builtins.PyCapsule
set_num_to_propagate(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
set_rand(...) from builtins.PyCapsule
set_rand(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, r : rosetta.protocols.genetic_algorithm.EntityRandomizer) -> NoneType
tournament_select(...) from builtins.PyCapsule
tournament_select(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, pvec : rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t) -> rosetta.protocols.genetic_algorithm.Entity
write_entities_checkpoint(...) from builtins.PyCapsule
write_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
 
for checkpointing fitness cache
write_generations_checkpoint(...) from builtins.PyCapsule
write_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool

 
class GeneticAlgorithmBase(builtins.object)
     Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(handle) -> NoneType
 
2. __init__(handle, rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
add_entity(...) from builtins.PyCapsule
add_entity(*args, **kwargs)
Overloaded function.
 
1. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
 
2. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
add_parent_entity(...) from builtins.PyCapsule
add_parent_entity(*args, **kwargs)
Overloaded function.
 
1. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
 
2. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
add_parents_from_current_generation(...) from builtins.PyCapsule
add_parents_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase,  : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase
best_fitness_from_current_generation(...) from builtins.PyCapsule
best_fitness_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
clear_parents(...) from builtins.PyCapsule
clear_parents(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
complete(...) from builtins.PyCapsule
complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
curr_gen_entity(...) from builtins.PyCapsule
curr_gen_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, index : int) -> rosetta.protocols.genetic_algorithm.Entity
 
retreive a particular entity for the current generation
current_generation(...) from builtins.PyCapsule
current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
current_generation_begin(...) from builtins.PyCapsule
current_generation_begin(*args, **kwargs)
Overloaded function.
 
1. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
 
2. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
current_generation_complete(...) from builtins.PyCapsule
current_generation_complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
current_generation_end(...) from builtins.PyCapsule
current_generation_end(*args, **kwargs)
Overloaded function.
 
1. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
 
2. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
entities_checkpoint_filename(...) from builtins.PyCapsule
entities_checkpoint_filename(*args, **kwargs)
Overloaded function.
 
1. entities_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
 
2. entities_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
entity_template(...) from builtins.PyCapsule
entity_template(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
evolve_next_generation(...) from builtins.PyCapsule
evolve_next_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
fill_by_crossover(...) from builtins.PyCapsule
fill_by_crossover(*args, **kwargs)
Overloaded function.
 
1. fill_by_crossover(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_by_crossover(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fill_by_mutation(...) from builtins.PyCapsule
fill_by_mutation(*args, **kwargs)
Overloaded function.
 
1. fill_by_mutation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_by_mutation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fill_with_perturbations_of_existing_entities(...) from builtins.PyCapsule
fill_with_perturbations_of_existing_entities(*args, **kwargs)
Overloaded function.
 
1. fill_with_perturbations_of_existing_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_with_perturbations_of_existing_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fill_with_random_entities(...) from builtins.PyCapsule
fill_with_random_entities(*args, **kwargs)
Overloaded function.
 
1. fill_with_random_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. fill_with_random_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
fraction_by_recombination(...) from builtins.PyCapsule
fraction_by_recombination(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
generations(...) from builtins.PyCapsule
generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.utility.vector1_utility_vector1_std_shared_ptr_protocols_genetic_algorithm_Entity_std_allocator_std_shared_ptr_protocols_genetic_algorithm_Entity_t
generations_checkpoint_filename(...) from builtins.PyCapsule
generations_checkpoint_filename(*args, **kwargs)
Overloaded function.
 
1. generations_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
 
2. generations_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
max_generations(...) from builtins.PyCapsule
max_generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
max_population_size(...) from builtins.PyCapsule
max_population_size(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
new_entity(...) from builtins.PyCapsule
new_entity(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
number_to_propagate(...) from builtins.PyCapsule
number_to_propagate(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
population(...) from builtins.PyCapsule
population(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, gen_num : int) -> rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t
 
true const (read-only) access to entity population: new vector of const pointers
propagate_best_from_previous_generation(...) from builtins.PyCapsule
propagate_best_from_previous_generation(*args, **kwargs)
Overloaded function.
 
1. propagate_best_from_previous_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
2. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
 
3. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int, unique : bool) -> NoneType
read_checkpoint(...) from builtins.PyCapsule
read_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
read_entities_checkpoint(...) from builtins.PyCapsule
read_entities_checkpoint(*args, **kwargs)
Overloaded function.
 
1. read_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
 
for checkpointing fitness cache
 
2. read_entities_checkpoint(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, overwrite : bool) -> bool
 
for checkpointing fitness cache
read_generations_checkpoint(...) from builtins.PyCapsule
read_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
rename_checkpoint_files(...) from builtins.PyCapsule
rename_checkpoint_files(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
 
allows the prevention of accidental reuse of checkpoint files
set_checkpoint_gzip(...) from builtins.PyCapsule
set_checkpoint_gzip(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
set_checkpoint_prefix(...) from builtins.PyCapsule
set_checkpoint_prefix(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, p : str) -> NoneType
set_checkpoint_rename(...) from builtins.PyCapsule
set_checkpoint_rename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
set_checkpoint_write_interval(...) from builtins.PyCapsule
set_checkpoint_write_interval(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, i : int) -> NoneType
set_entity_template(...) from builtins.PyCapsule
set_entity_template(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_frac_by_recomb(...) from builtins.PyCapsule
set_frac_by_recomb(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, f : float) -> NoneType
set_max_generations(...) from builtins.PyCapsule
set_max_generations(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
set_max_pop_size(...) from builtins.PyCapsule
set_max_pop_size(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
set_num_to_propagate(...) from builtins.PyCapsule
set_num_to_propagate(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
set_rand(...) from builtins.PyCapsule
set_rand(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, r : rosetta.protocols.genetic_algorithm.EntityRandomizer) -> NoneType
tournament_select(...) from builtins.PyCapsule
tournament_select(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, pvec : rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t) -> rosetta.protocols.genetic_algorithm.Entity
write_entities_checkpoint(...) from builtins.PyCapsule
write_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
 
for checkpointing fitness cache
write_generations_checkpoint(...) from builtins.PyCapsule
write_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool

 
class Mutate1Randomizer(PositionSpecificRandomizer)
    
Method resolution order:
Mutate1Randomizer
PositionSpecificRandomizer
EntityRandomizer
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(handle) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.Mutate1Randomizer,  : rosetta.protocols.genetic_algorithm.Mutate1Randomizer) -> rosetta.protocols.genetic_algorithm.Mutate1Randomizer
mutate(...) from builtins.PyCapsule
mutate(self : rosetta.protocols.genetic_algorithm.Mutate1Randomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType

Methods inherited from PositionSpecificRandomizer:
append_choices(...) from builtins.PyCapsule
append_choices(self : rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer, choices : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> NoneType
choices(...) from builtins.PyCapsule
choices(rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer) -> rosetta.utility.vector1_utility_vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_std_allocator_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t
library_size(...) from builtins.PyCapsule
library_size(rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer) -> int

Methods inherited from EntityRandomizer:
crossover(...) from builtins.PyCapsule
crossover(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity1 : rosetta.protocols.genetic_algorithm.Entity, entity2 : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
entity_length(...) from builtins.PyCapsule
entity_length(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> int
entity_template(...) from builtins.PyCapsule
entity_template(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
mutation_rate(...) from builtins.PyCapsule
mutation_rate(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> float
random_entity(...) from builtins.PyCapsule
random_entity(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
set_entity_template(...) from builtins.PyCapsule
set_entity_template(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_mutation_rate(...) from builtins.PyCapsule
set_mutation_rate(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, rate : float) -> NoneType

 
class PositionSpecificRandomizer(EntityRandomizer)
    /////////////////////////////////////////////////////////////////////////////////////////////////
 
 
different set of choices at each position in Entity's traits
 
 
Method resolution order:
PositionSpecificRandomizer
EntityRandomizer
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(handle) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
append_choices(...) from builtins.PyCapsule
append_choices(self : rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer, choices : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> NoneType
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer,  : rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer) -> rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer
choices(...) from builtins.PyCapsule
choices(rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer) -> rosetta.utility.vector1_utility_vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_std_allocator_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t
library_size(...) from builtins.PyCapsule
library_size(rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer) -> int
mutate(...) from builtins.PyCapsule
mutate(self : rosetta.protocols.genetic_algorithm.PositionSpecificRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType

Methods inherited from EntityRandomizer:
crossover(...) from builtins.PyCapsule
crossover(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity1 : rosetta.protocols.genetic_algorithm.Entity, entity2 : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
entity_length(...) from builtins.PyCapsule
entity_length(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> int
entity_template(...) from builtins.PyCapsule
entity_template(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
mutation_rate(...) from builtins.PyCapsule
mutation_rate(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> float
random_entity(...) from builtins.PyCapsule
random_entity(rosetta.protocols.genetic_algorithm.EntityRandomizer) -> rosetta.protocols.genetic_algorithm.Entity
set_entity_template(...) from builtins.PyCapsule
set_entity_template(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
set_mutation_rate(...) from builtins.PyCapsule
set_mutation_rate(self : rosetta.protocols.genetic_algorithm.EntityRandomizer, rate : float) -> NoneType

 
class Vec1Hash(builtins.object)
     Methods defined here:
__call__(...) from builtins.PyCapsule
__call__(self : rosetta.protocols.genetic_algorithm.Vec1Hash, vec1 : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> int
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(rosetta.protocols.genetic_algorithm.Vec1Hash) -> NoneType
 
2. __init__(self : rosetta.protocols.genetic_algorithm.Vec1Hash,  : rosetta.protocols.genetic_algorithm.Vec1Hash) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.genetic_algorithm.Vec1Hash,  : rosetta.protocols.genetic_algorithm.Vec1Hash) -> rosetta.protocols.genetic_algorithm.Vec1Hash