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import abc
import dataclasses
from polymatrix.polymatrix.init.initpolymatrix import init_poly_matrix
from polymatrix.expression.mixins.expressionbasemixin import ExpressionBaseMixin
from polymatrix.polymatrix.polymatrix import PolyMatrix
from polymatrix.expressionstate.expressionstate import ExpressionState
class DivisionExprMixin(ExpressionBaseMixin):
@property
@abc.abstractmethod
def left(self) -> ExpressionBaseMixin:
...
@property
@abc.abstractmethod
def right(self) -> ExpressionBaseMixin:
...
# overwrites abstract method of `ExpressionBaseMixin`
def apply(
self,
state: ExpressionState,
) -> tuple[ExpressionState, PolyMatrix]:
# add an auxillary equation and, therefore, needs to be cached
if self in state.cache:
return state, state.cache[self]
state, left = self.left.apply(state=state)
state, right = self.right.apply(state=state)
assert right.shape == (1, 1)
terms = {}
division_variable = state.n_param
state = state.register(n_param=1)
for row in range(left.shape[0]):
for col in range(left.shape[1]):
underlying_terms = left.get_poly(row, col)
if underlying_terms is None:
continue
def gen_monomial_terms():
for monomial, value in underlying_terms.items():
yield monomial + (division_variable,), value
terms[row, col] = dict(gen_monomial_terms())
def gen_auxillary_terms():
for monomial, value in right.get_poly(0, 0).items():
yield monomial + (division_variable,), value
auxillary_terms = dict(gen_auxillary_terms())
if tuple() not in auxillary_terms:
auxillary_terms[tuple()] = 0
auxillary_terms[tuple()] -= 1
poly_matrix = init_poly_matrix(
terms=terms,
shape=left.shape,
)
state = dataclasses.replace(
state,
auxillary_equations=state.auxillary_equations | {division_variable: auxillary_terms},
cache=state.cache | {self: poly_matrix},
)
return state, poly_matrix
|
