Klaus Post <******@****.***> 1457448890 +0100

huffman-rand-max.golden...

    )

    # Generate model input data.
    rng = np.random.default_rng(seed=42)
    input_data = ops.convert_to_tensor(
        rng.uniform(low=0.0, high=1.0, size=x_signature).astype('f4')
    )

    def data_gen() -> repr_dataset.RepresentativeDataset:
      for _ in range(100):
        yield {
            'x': ops.convert_to_tensor(
                np.random.uniform(low=0.0, high=1.0, size=x_signature).astype(

	{
		[]byte{0x1f, 0x79, 0x90, 0x5f, 0x88, 0x01, 0xc8, 0x88}, // random
		[]byte{0xc7, 0x46, 0x18, 0x73, 0xaf, 0x48, 0x5f, 0xb3}, // random
		[]byte{0xb0, 0x93, 0x50, 0x88, 0xf9, 0x92, 0x44, 0x6a}},
	{
		[]byte{0xe6, 0xf4, 0xf2, 0xdb, 0x31, 0x42, 0x53, 0x01}, // random
		[]byte{0xff, 0x3d, 0x25, 0x50, 0x12, 0xe3, 0x4a, 0xc5}, // random
		[]byte{0x86, 0x08, 0xd3, 0xd1, 0x6c, 0x2f, 0xd2, 0x55}},
	{

        self.embedding_w = np.random.randn(1024, 3, 4, 3).astype('f4')
        self.embedding_w = np.minimum(np.maximum(self.embedding_w, -4), 4)

        self.conv_filters = np.random.uniform(
            low=-10, high=10, size=filter_shape
        ).astype('f4')

        second_conv_filter_shape = (3, 3, filter_shape[-1], 1)
        self.second_conv_filters = np.random.uniform(

	letterIdxMax  = 63 / letterIdxBits   // # of letter indices fitting in 63 bits
)

// Random number state.
// We generate random temporary file names so that there's a good
// chance the file doesn't exist yet.
var (
	randN  uint32
	randmu sync.Mutex
)

// Temp files created in default Tmp dir
var globalTestTmpDir = os.TempDir()

	for _, v := range badProtocolVersions {
		testClientHelloFailure(t, config, &clientHelloMsg{
			vers:   v,
			random: make([]byte, 32),
		}, "unsupported versions")
	}
	testClientHelloFailure(t, config, &clientHelloMsg{
		vers:              VersionTLS12,
		supportedVersions: badProtocolVersions,
		random:            make([]byte, 32),
	}, "unsupported versions")
}

func TestNoSuiteOverlap(t *testing.T) {

}

func (m *clientHelloMsg) clone() *clientHelloMsg {
	return &clientHelloMsg{
		original:                         slices.Clone(m.original),
		vers:                             m.vers,
		random:                           slices.Clone(m.random),
		sessionId:                        slices.Clone(m.sessionId),
		cipherSuites:                     slices.Clone(m.cipherSuites),
		compressionMethods:               slices.Clone(m.compressionMethods),

							claimRefs,
							metav1.OwnerReference{
								Name:       "rand1",
								APIVersion: "v1",
								Kind:       "Pod",
								UID:        "rand1-uid",
							},
							metav1.OwnerReference{
								Name:       "rand2",
								APIVersion: "v1",
								Kind:       "Pod",
								UID:        "rand2-uid",
							})
					}
					claim.SetOwnerReferences(claimRefs)

		},
		{
			proxyNs:     "ns1",
			serviceNs:   "random",
			host:        testhost,
			wantSubsets: []string{"subset7", "subset8"},
		},
		{
			proxyNs:     "random",
			serviceNs:   "random",
			host:        testhost,
			wantSubsets: []string{"subset7", "subset8"},
		},
		{
			proxyNs:     "test3",
			serviceNs:   "random",
			host:        testhost,