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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def solve_minimize( self, func, weights, constraints, lower_bound=0.0, upper_bound=1.0, func_deriv=False ):
 """ Returns the solution to a minimization problem. """


        bounds = ((lower_bound, upper_bound), ) * len(self.SUPPORTED_COINS)
        return minimize(
            fun=func, x0=weights, jac=func_deriv, bounds=bounds,
            constraints=constraints, method='SLSQP', options={'disp': False}
        )