Source code for gmso.core.bond_type

from typing import Tuple, Optional
import unyt as u

from pydantic import Field

from gmso.core.parametric_potential import ParametricPotential
from gmso.utils._constants import BOND_TYPE_DICT


[docs]class BondType(ParametricPotential): __base_doc__ = """A descripton of the interaction between 2 bonded partners. This is a subclass of the gmso.core.Potential superclass. BondType represents a bond type and includes the functional form describing its interactions. The functional form of the potential is stored as a `sympy` expression and the parameters, with units, are stored explicitly. The AtomTypes that are used to define the bond type are stored as `member_types`. Notes ---- Inherits many functions from gmso.ParametricPotential: __eq__, _validate functions """ member_types_: Optional[Tuple[str, str]] = Field( None, description='List-like of of gmso.AtomType.name or gmso.AtomType.atomclass ' 'defining the members of this bond type' ) def __init__(self, name='BondType', expression='0.5 * k * (r-r_eq)**2', parameters=None, independent_variables=None, member_types=None, topology=None): if parameters is None: parameters = { 'k': 1000 * u.Unit('kJ / (nm**2)'), 'r_eq': 0.14 * u.nm } if independent_variables is None: independent_variables = {'r'} super(BondType, self).__init__( name=name, expression=expression, parameters=parameters, independent_variables=independent_variables, topology=topology, member_types=member_types, set_ref=BOND_TYPE_DICT ) @property def member_types(self): return self.__dict__.get('member_types_') class Config: fields = { 'member_types_': 'member_types' } alias_to_fields = { 'member_types': 'member_types_' }