Optimization / main.py
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from ast_parser import Parser, EquationKind
from algorithm import solver
print("Enter all equations, following each with a comma. The last equation should be without a comma")
print("As an example 'Z = 5x_1 + 4x_2', '6x_1 + 4x_2 <= 24'")
input_equation = input()
parser = Parser(input_equation)
equations = tuple(parser)
for equation in equations:
if equation.kind == EquationKind.GEQ and equation.bound < 0.0:
for variable, coefficient in equation.variables.items():
equation.variables[variable] *= -1.0
equation.bound *= -1.0
equation.kind = EquationKind.LEQ
continue
if equation.kind == EquationKind.GEQ:
raise ValueError("Equation kind must be either EQ or LEQ")
if equation.bound < 0.0:
raise ValueError("Equation bound must be non-negative")
demand: dict[str, list[int]] = {}
for i, equation in enumerate(equations):
for variable, coefficient in equation.variables.items():
if coefficient == 0.0:
continue
if variable not in demand:
demand[variable] = []
demand[variable].append(i)
objective_variables = tuple(
filter(lambda variable: len(demand[variable]) == 1, demand.keys())
)
objective_functions = tuple(
filter(
lambda function: function.kind == EquationKind.EQ,
map(lambda variable: equations[demand[variable][0]], objective_variables),
)
)
if len(objective_variables) != len(objective_functions):
raise ValueError("Objective functions must be equalities")
constraints = tuple(
filter(
lambda function: function not in objective_functions,
equations,
)
)
solver.Solver(objective_functions, constraints)