def solve_univariate_inequality_1(expression):
print(f"function 3 ")
x = Symbol('x')
ineq_obj = expression #sin(x) - 0.6 > 0
ans_3 = solve_univariate_inequality(ineq_obj, x, relational=False)
#print(f"ans_3:{ans_3}")
return ans_3
def isolve(expr):
x = symbols('x')
ineq_obj = sympify(expr > 0)
lhs = ineq_obj.lhs
rel = ineq_obj.rel_op
sln = 0
if expr.is_polynomial():
p = Poly(lhs, x)
sln = solve_poly_inequality(p, rel)
return sln
elif expr.is_rational_function():
numer, denom = lhs.as_numer_denom()
p1 = Poly(numer)
p2 = Poly(denom)
sln = solve_rational_inequalities([[((p1, p2), rel)]])
else:
sln = solve_univariate_inequality(ineq_obj, x, relational=False)
return sln
def isolve(ineq_obj):
x = Symbol('x')
expr = ineq_obj.lhs
rel = ineq_obj.rel_op
if expr.is_polynomial():
p = Poly(expr, x)
return solve_poly_inequality(p, rel)
elif expr.is_rational_function():
p1, p2 = expr.as_numer_denom()
num = Poly(p1)
denom = Poly(p2)
return solve_rational_inequalities([[((num, denom), rel)]])
else:
return solve_univariate_inequality(ineq_obj, x, relational=False)
def isolve(ineq_obj):
x = Symbol('x')
expr = ineq_obj.lhs
rel = ineq_obj.rel_op
if expr.is_polynomial():
p = Poly(expr, x)
return solve_poly_inequality(p, rel)
elif expr.is_rational_function():
p1, p2 = expr.as_numer_denom()
num = Poly(p1)
denom = Poly(p2)
return solve_rational_inequalities([[((num, denom), rel)]])
else:
return solve_univariate_inequality(ineq_obj , x, relational=False)
def solve_inequality(ineq_obj):
x = Symbol('x')
lhs = ineq_obj.lhs
if lhs.is_polynomial():
p = Poly(lhs, x)
rel = ineq_obj.rel_op
pprint(solve_poly_inequality(p, rel))
elif lhs.is_rational_function():
lhs = ineq_obj.lhs
numer, denom = lhs.as_numer_denom()
p1 = Poly(numer)
p2 = Poly(denom)
rel = ineq_obj.rel_op
pprint(solve_rational_inequalities([[((p1, p2), rel)]]))
else:
pprint(solve_univariate_inequality(ineq_obj, x, relational=False))
def i_solver(expr_raw):
x = sympy.Symbol("x")
rel = expr_raw.rel_op
lhs = expr_raw.lhs
if expr.is_polynomial():
poly = sympy.Poly(lhs, x)
return sympy.solve_poly_inequality(poly, rel)
elif expr.is_rational_function():
numer, denum = lhs.as_numer_denom()
p1 = sympy.Poly(numer)
p2 = sympy.Poly(denum)
return sympy.solve_rational_inequalities([[((p1, p2), rel)]])
else:
return sympy.solve_univariate_inequality(expr_raw, x, relational=False)
def isolve(expr):
"""This function solves the inequality."""
x = sp.Symbol('x')
if expr.is_polynomial():
lhs = expr.lhs
p = sp.Poly(lhs, x)
rel = expr.rel_op
ans = sp.solve_poly_inequality(p, rel)
elif expr.is_rational_function():
lhs = expr.lhs
numer, denom = lhs.as_numer_denom()
p1 = sp.Poly(numer)
p2 = sp.Poly(denom)
rel = expr.rel_op
ans = sp.solve_rational_inequalities([[((p1, p2), rel)]])
else:
ans = sp.solve_univariate_inequality(expr, x, relational=False)
print(ans)
def poly_solver(ineq_obj):
#This is a prequisite for every function
x=Symbol('x')
expr=ineq_obj.lhs
rel=ineq_obj.rel_op
#First we check if the function is polynomial and solve if it is
if expr.is_polynomial():
p=Poly(expr,x)
return solve_poly_inequality(p,rel)
#If the function is not polynomial we use elif(else if) to check whether it is rational, if so we solve
elif expr.is_rational_function():
numer,denom=expr.as_numer_denom()
p1=Poly(numer)
p2=Poly(denom)
return solve_rational_inequalities([[((p1,p2),rel)]])
#If it's none of the above we simply solve for other
else:
return solve_univariate_inequality(ineq_obj,x,relational=False)
from sympy import Poly, Symbol, solve_poly_inequality
x = Symbol('x')
ineq_obj = -x**2 + 4 < 0
lhs = ineq_obj.lhs
p = Poly(lhs, x)
rel = ineq_obj.rel_op
solve_poly_inequality(p, rel)
from sympy import Symbol, Poly, solve_rational_inequalities
x = Symbol('x')
ineq_obj = ((x-1)/(x+2)) > 0
lhs = ineq_obj.lhs
numer, denom = lhs.as_numer_denom()
p1 = Poly(numer)
p2 = Poly(denom)
rel = ineq_obj.rel_op
result= solve_rational_inequalities([[((p1, p2), rel)]])
print(result)
from sympy import Symbol, solve, solve_univariate_inequality, sin
x = Symbol('x')
ineq_obj = sin(x) - 0.6 > 0
result_1= solve_univariate_inequality(ineq_obj, x, relational=False)
print(result_1)
def solve_univariate(expr, x):
return sp.solve_univariate_inequality(expr, x, relational=False)
def trig_inequality_solve(eqn):
return sympy.solve_univariate_inequality(eqn, x, relational=False)
def solve_univariate(expr):
x = Symbol('x')
ineq_obj = expr
return solve_univariate_inequality(ineq_obj, x, relational=False)