from flask import Flask, render_template, request
import numpy as np
import concurrent.futures

app = Flask(__name__)


def multiply_matrices(matrix_a, matrix_b):
    result = np.dot(matrix_a, matrix_b)
    return result


def multiply_matrices_parallel(matrix_a, matrix_b):
    with concurrent.futures.ThreadPoolExecutor() as executor:
        result = executor.submit(np.dot, matrix_a, matrix_b)
    return result.result()


@app.route('/')
def index():
    return render_template('index.html')


@app.route('/multiply', methods=['POST'])
def multiply():
    n = int(request.form.get('matrix_a'))
    matrix_a = np.random.randint(10, size=(n, n))
    matrix_b = np.random.randint(10, size=(n, n))

    operation_type = request.form.get('operation_type')

    if operation_type == 'sequential':
        result = multiply_matrices(matrix_a, matrix_b)
    elif operation_type == 'parallel':
        result = multiply_matrices_parallel(matrix_a, matrix_b)
    else:
        return "Invalid operation type"

    return render_template('result.html', matrix_a=matrix_a, matrix_b=matrix_b, result=result)


if __name__ == '__main__':
    app.run(debug=True)