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from sympy.core.relational import Eq, is_eq
from sympy.core.basic import Basic
from sympy.core.logic import fuzzy_and, fuzzy_bool
from sympy.logic.boolalg import And
from sympy.multipledispatch import dispatch
from sympy.sets.sets import tfn, ProductSet, Interval, FiniteSet, Set
@dispatch(Interval, FiniteSet) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
return False
@dispatch(FiniteSet, Interval) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
return False
@dispatch(Interval, Interval) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
return And(Eq(lhs.left, rhs.left),
Eq(lhs.right, rhs.right),
lhs.left_open == rhs.left_open,
lhs.right_open == rhs.right_open)
@dispatch(FiniteSet, FiniteSet) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
def all_in_both():
s_set = set(lhs.args)
o_set = set(rhs.args)
yield fuzzy_and(lhs._contains(e) for e in o_set - s_set)
yield fuzzy_and(rhs._contains(e) for e in s_set - o_set)
return tfn[fuzzy_and(all_in_both())]
@dispatch(ProductSet, ProductSet) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
if len(lhs.sets) != len(rhs.sets):
return False
eqs = (is_eq(x, y) for x, y in zip(lhs.sets, rhs.sets))
return tfn[fuzzy_and(map(fuzzy_bool, eqs))]
@dispatch(Set, Basic) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
return False
@dispatch(Set, Set) # type:ignore
def _eval_is_eq(lhs, rhs): # noqa: F811
return tfn[fuzzy_and(a.is_subset(b) for a, b in [(lhs, rhs), (rhs, lhs)])]