Source code for stk._internal.ea.selection.selectors.remove_molecules

import typing
from collections.abc import Iterator

from stk._internal.ea.molecule_record import MoleculeRecord
from stk._internal.ea.selection.batch import Batch

from .selector import ExcludedBatches, IncludedBatches, Selector

T = typing.TypeVar("T", bound=MoleculeRecord)


[docs] class RemoveMolecules(Selector[T]): """ Prevents a :class:`.Selector` from selecting some molecules. Examples: *Removing Molecules From Selection* .. testcode:: removing-molecules-from-selection import stk selector = stk.RemoveMolecules( # Do not select any molecules from the top 5 batches # of size 3. remover=stk.Best(num_batches=5, batch_size=3), # Select the ret of the molecules using roulette. selector=stk.Roulette(num_batches=20, batch_size=3), ) population = { stk.MoleculeRecord( topology_graph=stk.polymer.Linear( building_blocks=[ stk.BuildingBlock('BrCCBr', stk.BromoFactory()), ], repeating_unit='A', num_repeating_units=2, ), ): i for i in range(10) } for batch in selector.select(population): # Do stuff with batch. The batch is guaranteed not to # contain any molecules which are found in the best 5 # batches of size 3. pass """ def __init__(self, remover: Selector[T], selector: Selector[T]) -> None: """ Parameters: remover: Selects batches molecules, any molecule selected cannot be selected by `selector`. selector: Selects batches of molecules, not containing any molecules selected by `remover`. """ self._remover = remover self._selector = selector
[docs] def select( self, population: dict[T, float], included_batches: "IncludedBatches" = None, excluded_batches: "ExcludedBatches" = None, ) -> Iterator[Batch[T]]: remover_batches = self._remover.select( population=population, included_batches=included_batches, excluded_batches=excluded_batches, ) removed = {record for batch in remover_batches for record in batch} valid_population = { record: population[record] for record in population if record not in removed } yield from self._selector.select( population=valid_population, included_batches=included_batches, excluded_batches=excluded_batches, )