def test_fromdict(self):
        header_dict = self.header_arquivo.todict()
        header_arquivo = itau.registros.HeaderArquivo(**header_dict)
        self.assertEqual(header_arquivo.cedente_nome,
                                                'TRACY TECNOLOGIA LTDA ME')
        self.assertEqual(header_arquivo.nome_do_banco, 'BANCO ITAU SA')
def __calculate_initial_covariances(self, initial_clusters):
        covariances = []
        for initial_cluster in initial_clusters:
            if len(initial_cluster) > 1:
                cluster_sample = [self.__sample[index_point] for index_point in initial_cluster]
                covariances.append(numpy.cov(cluster_sample, rowvar=False))
            else:
                dimension = len(self.__sample[0])
                covariances.append(numpy.zeros((dimension, dimension)) + random.random() / 10.0)