return nil, err
		}
		client = kes.NewClientWithConfig("", &tls.Config{
			MinVersion:         tls.VersionTLS12,
			Certificates:       []tls.Certificate{cert},
			RootCAs:            config.RootCAs,
			ClientSessionCache: tls.NewLRUClientSessionCache(tlsClientSessionCacheSize),
		})
	} else {
		client = kes.NewClientWithConfig("", &tls.Config{
			MinVersion:         tls.VersionTLS12,

	crypto.S3.CreateMetadata(metadata, key.KeyID, key.Ciphertext, sealedKey)
	_, err = sio.Encrypt(outbuf, bytes.NewBuffer(input), sio.Config{Key: objectKey[:], MinVersion: sio.Version20, CipherSuites: fips.DARECiphers()})
	if err != nil {
		return output, metabytes, err
	}
	metabytes, err = json.Marshal(metadata)
	if err != nil {
		return
	}

        validateModelVersion(problems, m.getModelVersion(), m, VALID_MODEL_VERSIONS);

        String minVersion = new MavenModelVersion().getModelVersion(m);
        if (m.getModelVersion() != null && compareModelVersions(minVersion, m.getModelVersion()) > 0) {
            addViolation(
                    problems,
                    Severity.FATAL,
                    Version.V40,

}

func newTLSConfig(getCert certs.GetCertificateFunc) *tls.Config {
	if getCert == nil {
		return nil
	}

	tlsConfig := &tls.Config{
		PreferServerCipherSuites: true,
		MinVersion:               tls.VersionTLS12,
		NextProtos:               []string{"http/1.1", "h2"},
		GetCertificate:           getCert,
		ClientSessionCache:       tls.NewLRUClientSessionCache(tlsClientSessionCacheSize),
	}

	if err != nil {
		return nil, crypto.ObjectKey{}, err
	}

	reader, err := sio.EncryptReader(content, sio.Config{Key: objectEncryptionKey[:], MinVersion: sio.Version20, CipherSuites: fips.DARECiphers()})
	if err != nil {
		return nil, crypto.ObjectKey{}, crypto.ErrInvalidCustomerKey
	}

	return reader, objectEncryptionKey, nil
}

to `tf.setdiff1d` to match NumPy naming. * `tf.inv` has been renamed to be
`tf.reciprocal` (component-wise reciprocal) to avoid confusion with `np.inv`
which is matrix inversion * tf.round now uses banker's rounding (round to even)
semantics to match NumPy. * `tf.split` now takes arguments in a reversed order
and with different keywords. In particular, we now match NumPy order as