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)...

*   Added support for more probability distributions (Dirichlet, Beta,
    Bernoulli, etc.)
*   Added Python interfaces to reset resource containers.
*   Many bugfixes and performance improvements
*   Many documentation fixes

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Alex Rothberg, Andrew Royer, Austin Marshall, @BlackCoal, Bob Adolf, Brian

// Nat represents an arbitrary natural number // // Each Nat has an announced length, which is the number of limbs it has stored. // Operations on this number are allowed to leak this length, but will not leak // any information about the values contained in those limbs. type Nat struct { // limbs is little-endian in base 2^W with W = bits.UintSize. limbs []uint } // preallocTarget is the size in bits of the numbers used to implement the most // common and most performant RSA key size. It's also enough...

// Nat represents an arbitrary natural number // // Each Nat has an announced length, which is the number of limbs it has stored. // Operations on this number are allowed to leak this length, but will not leak // any information about the values contained in those limbs. type Nat struct { // limbs is little-endian in base 2^W with W = bits.UintSize. limbs []uint } // preallocTarget is the size in bits of the numbers used to implement the most // common and most performant RSA key size. It's also enough...