code: def from_dict(cls, copula_dict):
          
          instance = cls()
          instance.distribs = {}
  
          for name, parameters in copula_dict['distribs'].items():
              instance.distribs[name] = Univariate.from_dict(parameters)
  
          instance.covariance = np.array(copula_dict['covariance'])
          instance.fitted = copula_dict['fitted']
          instance.distribution = copula_dict['distribution']
          return instance
docs: Set attributes with provided values.