Pyodide v0.23.3 REPL example

Output:

import numpy as np

def solve_equations():
    equation1 = input("Enter equation 1 (use x0 and x1 as variables): ")
    equation2 = input("Enter equation 2 (use x0 and x1 as variables): ")

# Define the coefficients and constants arrays
    coeffs = []
    constants = []

# Parse equation 1
    equation_terms = equation1.split('=')
    equation_vars = set()
    for term in equation_terms[0].split('+'):
        if term.startswith('-'):
            term = '-' + term[1:].replace('-', '+-')
        if 'x' in term:
            equation_vars.add(term)
            coeffs.append(eval(term.replace('x0', '0').replace('x1', '1')))
        else:
            constants.append(float(term))

# Parse equation 2
    equation_terms = equation2.split('=')
    for term in equation_terms[0].split('+'):
        if term.startswith('-'):
            term = '-' + term[1:].replace('-', '+-')
        if 'x' in term:
            equation_vars.add(term)
            coeffs.append(eval(term.replace('x0', '0').replace('x1', '1')))
        else:
            constants.append(float(term))

num_vars = len(equation_vars)

# Create the coefficient matrix and constants vector
    if num_vars == 2:
        A = np.array(coeffs).reshape((2, 2))
    elif num_vars == 1:
        A = np.array(coeffs).reshape((1, 1))
    else:
        print("Error: The system of equations should contain either one or two variables.")
        return

B = np.array(constants)

# Solve the system of equations
    try:
        solution = np.linalg.solve(A, B)
        # Print the solution
        print(f"x0 = {solution[0]}")
        if num_vars == 2:
            print(f"x1 = {solution[1]}")
    except np.linalg.LinAlgError as e:
        print("Error: The system of equations is either inconsistent or cannot be solved.")

# Call the function to solve the equations
solve_equations()

# EXAMPLE 
# Enter equation 1 (use x0 and x1 as variables): 2*x0 + 3*x1 = 4
# Enter equation 2 (use x0 and x1 as variables): 5*x0 - x1 = 7

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