@app.post("/login/")
async def login(data: Annotated[FormData, Form()]):
    return data
```

Read the new docs: [Form Models - Forbid Extra Form Fields](https://fastapi.tiangolo.com/tutorial/request-form-models/#forbid-extra-form-fields).

### Features

    *   Extend scatter operations to work with a scalar update parameter.
    *   Move cuDNN RNN ops to core for use in TensorFlow codebase only.
    *   Add `float64` support for `Conv2d`, `Conv2dBackpropInput`, and
        `Conv2dBackpropFilter`.
    *   Add `float64` support for `AvgPool`/`AvgPoolGrad`.
    *   Make graph name scope thread local so that they work correctly in
        multi-threaded environments.

Y := T[i] * m.m0inv c2 := addMulVVW2048(&T[i], &mLimbs[0], Y) T[n+i], c = bits.Add(c1, c2, c) } copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) } return x } // addMulVVW multiplies the multi-word value x by the single-word value y, // adding the result to the multi-word value z and returning the final carry. // It can be thought of as one row of a pen-and-paper column multiplication. // //go:norace func addMulVVW(z, x []uint, y uint) (carry uint) { _ = x[len(z)-1] // bounds check...

Y := T[i] * m.m0inv c2 := addMulVVW2048(&T[i], &mLimbs[0], Y) T[n+i], c = bits.Add(c1, c2, c) } copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) } return x } // addMulVVW multiplies the multi-word value x by the single-word value y, // adding the result to the multi-word value z and returning the final carry. // It can be thought of as one row of a pen-and-paper column multiplication. // //go:norace func addMulVVW(z, x []uint, y uint) (carry uint) { _ = x[len(z)-1] // bounds check...