Source code for mordred.TopologicalIndex
from __future__ import division
from ._base import Descriptor
from ._graph_matrix import Radius as CRadius
from ._graph_matrix import Diameter as CDiameter
__all__ = ('Diameter', 'Radius', 'TopologicalShapeIndex', 'PetitjeanIndex',)
class TopologicalIndexBase(Descriptor):
__slots__ = ()
explicit_hydrogens = False
@classmethod
def preset(cls):
yield cls()
def parameters(self):
return ()
rtype = int
[docs]class Radius(TopologicalIndexBase):
r"""radius descriptor."""
__slots__ = ()
def __str__(self):
return 'Radius'
def dependencies(self):
return {'R': CRadius(self.explicit_hydrogens)}
def calculate(self, R):
return int(R)
[docs]class Diameter(TopologicalIndexBase):
r"""diameter descriptor."""
__slots__ = ()
def __str__(self):
return 'Diameter'
def dependencies(self):
return {'D': CDiameter(self.explicit_hydrogens)}
def calculate(self, D):
return int(D)
[docs]class TopologicalShapeIndex(TopologicalIndexBase):
r"""topological shape index descriptor.
.. math::
I_{\rm topo} = \frac{D - R}{R}
where
:math:`R` is graph radius,
:math:`D` is graph diameter.
:returns: NaN when :math:`R = 0`
"""
__slots__ = ()
def __str__(self):
return 'TopoShapeIndex'
def dependencies(self):
return {
'R': CRadius(self.explicit_hydrogens),
'D': CDiameter(self.explicit_hydrogens),
}
def calculate(self, R, D):
with self.rethrow_zerodiv():
return (D - R) / R
rtype = float
[docs]class PetitjeanIndex(TopologicalShapeIndex):
r"""Petitjean index descriptor.
.. math::
I_{\rm Petitjean} = \frac{D - R}{D}
where
:math:`R` is graph radius,
:math:`D` is graph diameter.
:returns: NaN when :math:`D = 0`
"""
__slots__ = ()
def __str__(self):
return 'PetitjeanIndex'
def calculate(self, R, D):
with self.rethrow_zerodiv():
return (D - R) / D