MathGPT/solver.py at main · ZenoCoding/MathGPT · GitHub

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from enum import Enum

import sympy as sp

import utils

class Solver(Enum):

    # Simple Method to approximate an expression:
    @staticmethod
    def approximate(parameters: list) -> sp.Expr:
        expression = parameters[0]
        # Convert it to a sympy expression
        utils.convert_expression(expression)
        # Evaluate it
        return expression.evalf()

    # Evaluate an equation to be true or false
    @staticmethod
    def evaluate(parameters: list) -> bool:
        equation = parameters[0]
        # Find both sides of the equation
        if "=" not in equation:
            left = equation
            right = 0
        else:
            left, right = equation.split("=")

        # Convert both sides to sympy expressions
        left, right = utils.convert_expression(left), utils.convert_expression(right)
        # Evaluate it
        return sp.simplify(left - right) == 0

    # Factor an expression:
    @staticmethod
    def factor(parameters: list) -> sp.Expr:
        expression = parameters[0]
        # Convert it to a sympy expression
        utils.convert_expression(expression)
        # Factor it
        return sp.factor(expression)

    # Expand an expression:
    @staticmethod
    def expand(parameters: list) -> sp.Expr:
        expression = parameters[0]
        # Convert it to a sympy expression
        utils.convert_expression(expression)
        # Expand it
        return sp.expand(expression)

    # Simplify an expression:
    @staticmethod
    def simplify(parameters: list) -> sp.Expr:
        expression = parameters[0]
        # Convert it to a sympy expression
        utils.convert_expression(expression)
        # Simplify it
        return sp.simplify(expression)

    # Find roots of an expression:
    @staticmethod
    def roots(parameters: list) -> sp.Set:
        expression = parameters[0]
        # Convert it to a sympy expression
        utils.convert_expression(expression)
        # Find the roots
        return sp.roots(expression, set=True)

    # Solve for a variable in an expression:
    @staticmethod
    def solve(parameters: list) -> sp.Set:
        equation = parameters[0]

        # Find both sides of the equation
        if "=" not in equation:
            left = equation
            right = 0
        else:
            left, right = equation.split("=")

        # Convert both sides to sympy expressions
        left, right = utils.convert_expression(left), utils.convert_expression(right)
        # Solve it
        return sp.solve(sp.Eq(left, right), set=True)

    # Find the value of a given digit of a number
    @staticmethod
    def place_value_number_of_digit(params, digit):
        number = params[0]
        # Convert the number to a sympy expression
        number = utils.convert_expression(number)
        # Find the digit
        return int(number / 10 ** (digit - 1)) % 10