*   Deprecate `tf.contrib.learn`. Please check contrib/learn/README.md for
        instructions on how to convert existing code.
    *   `tf.contrib.data`
    *   Remove deprecated `tf.contrib.data.Dataset`, `tf.contrib.data.Iterator`,
        `tf.contrib.data.FixedLengthRecordDataset`,
        `tf.contrib.data.TextLineDataset`, and `tf.contrib.data.TFRecordDataset`
        classes.

authenticated data kmaLPC = 1 << 8 // last series of plaintext or ciphertext blocks kmaDecrypt = 1 << 7 // decrypt ) // kmaGCM executes the encryption or decryption operation given by fn. The tag // will be calculated and written to tag. cnt should contain the current // counter state and will be overwritten with the updated counter state. // TODO(mundaym): could pass in hash subkey // //go:noescape func kmaGCM(fn int, key, dst, src, aad []byte, tag *[16]byte, cnt *[gcmBlockSize]byte) func sealKMA(out...

authenticated data kmaLPC = 1 << 8 // last series of plaintext or ciphertext blocks kmaDecrypt = 1 << 7 // decrypt ) // kmaGCM executes the encryption or decryption operation given by fn. The tag // will be calculated and written to tag. cnt should contain the current // counter state and will be overwritten with the updated counter state. // TODO(mundaym): could pass in hash subkey // //go:noescape func kmaGCM(fn int, key, dst, src, aad []byte, tag *[16]byte, cnt *[gcmBlockSize]byte) func sealKMA(out...

the `response_model` (e.g. you return a `UserInDB` that inherits from `User` but contains extra fields, like `hashed_password`, and `User` is used in the `response_model`), it would still pass the validation (because `UserInDB` is a subclass of `User`) and the object would be returned as-is, including the `hashed_password`. To fix this, the declared `response_model` is cloned, if it is a Pydantic model class (or contains Pydantic model classes in it, e.g. in a `List[Item]`), the Pydantic model class(es)...