x = state.solver.BVS("x", 64) #Symbolic variable BV of length 64
y = state.solver.BVS("y", 64)
tree #<BV64 (x_9_64 + 0x1) / (y_10_64 + 0x2)>
tree.op #'__floordiv__' Access last operation
tree.args #(<BV64 x_9_64 + 0x1>, <BV64 y_10_64 + 0x2>)
tree.args[0].op #'__add__' Access of dirst arg
tree.args[0].args #(<BV64 x_9_64>, <BV64 0x1>)
tree.args[0].args[1].op #'BVV'
tree.args[0].args[1].args #(1, 64)
#Symbolic constraints solver
state = proj.factory.entry_state() #Get a fresh state without constraints
input = state.solver.BVS('input', 64)
operation = (((input + 4) * 3) >> 1) + input
state.solver.add(operation == output)
state.solver.eval(input) #0x3333333333333381
state.solver.add(input < 2**32)
state.satisfiable() #False
solver.eval(expression) #one possible solution
solver.eval_one(expression) #solution to the given expression, or throw an error if more than one solution is possible.
solver.eval_upto(expression, n) #n solutions to the given expression, returning fewer than n if fewer than n are possible.
solver.eval_atleast(expression, n) #n solutions to the given expression, throwing an error if fewer than n are possible.
solver.eval_exact(expression, n) #n solutions to the given expression, throwing an error if fewer or more than are possible.
solver.min(expression) #minimum possible solution to the given expression.
solver.max(expression) #maximum possible solution to the given expression.