code: def from_dict(cls, copula_dict):
          
          instance = cls()
  
          instance.fitted = copula_dict['fitted']
          instance.constant_value = copula_dict['constant_value']
  
          if instance.fitted and not instance.constant_value:
              instance.model = scipy.stats.gaussian_kde([-1, 0, 0])
  
              for key in ['dataset', 'covariance', 'inv_cov']:
                  copula_dict[key] = np.array(copula_dict[key])
  
              attributes = ['d', 'n', 'dataset', 'covariance', 'factor', 'inv_cov']
              for name in attributes:
                  setattr(instance.model, name, copula_dict[name])
  
          return instance
docs: Set attributes with provided values.