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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 get_minimizer_options(method):
 """Return a dictionary with the default options for the given minimization method. Args: method (str):
 the name of the method we want the options off Returns: dict: a dictionary with the default options """

    if method == 'Powell':
        return {'patience': 2,
                'patience_line_search': None,
                'reset_method': 'EXTRAPOLATED_POINT'}

    elif method == 'Nelder-Mead':
        return {'patience': 200,
                'alpha': 1.0, 'beta': 0.5, 'gamma': 2.0, 'delta': 0.5, 'scale': 0.1,
                'adaptive_scales': True}

    elif method == 'Levenberg-Marquardt':
        return {'patience': 250, 'step_bound': 100.0, 'scale_diag': 1, 'usertol_mult': 30}

    elif method == 'Subplex':
        return {'patience': 10,
                'patience_nmsimplex': 100,
                'alpha': 1.0, 'beta': 0.5, 'gamma': 2.0, 'delta': 0.5, 'scale': 1.0, 'psi': 0.0001, 'omega': 0.01,
                'adaptive_scales': True,
                'min_subspace_length': 'auto',
                'max_subspace_length': 'auto'}

    raise ValueError('Could not find the specified method "{}".'.format(method))