x[:], x[:]) return x } for len(m) >= aes.BlockSize { subtle.XORBytes(x[:], m[:aes.BlockSize], x[:]) if len(m) == aes.BlockSize { // Final complete block. subtle.XORBytes(x[:], c.k1[:], x[:]) } aes.EncryptBlockInternal(&c.b, x[:], x[:]) m = m[aes.BlockSize:] } if len(m) > 0 { // Final incomplete block. subtle.XORBytes(x[:], m, x[:]) subtle.XORBytes(x[:], c.k2[:], x[:]) x[len(m)] ^= 0b10000000 aes.EncryptBlockInternal(&c.b, x[:], x[:]) } return x } // shiftLeft sets x to x << 1, and returns MSB₁(x)....

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

    /** The key of the configuration. e.g. 10000 */
    String search_engine_heartbeat_interval = "search_engine.heartbeat_interval";

    /** The key of the configuration. e.g. aes */
    String APP_CIPHER_ALGORISM = "app.cipher.algorism";

    /** The key of the configuration. e.g. ___change__me___ */
    String APP_CIPHER_KEY = "app.cipher.key";

    /** The key of the configuration. e.g. sha256 */