0F73          ; mapped                 ; 0F71 0F72     # 2.0  TIBETAN VOWEL SIGN II
0F74          ; valid                                  # 2.0  TIBETAN VOWEL SIGN U
0F75          ; mapped                 ; 0F71 0F74     # 2.0  TIBETAN VOWEL SIGN UU
0F76          ; mapped                 ; 0FB2 0F80     # 2.0  TIBETAN VOWEL SIGN VOCALIC R

        Note that this change may break certain subclassed models. You can
        revert back to the previous behavior by adding upranking yourself in the
        `train_step()`/`test_step()`/`predict_step()` methods, e.g. `if
        x.shape.rank == 1: x = tf.expand_dims(x, axis=-1)`. Functional models as
        well as Sequential models built with an explicit input shape are not
        affected.

@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):
    return filter_query
```

Read the new docs: [Query Parameter Models](https://fastapi.tiangolo.com/tutorial/query-param-models/).

#### `Header` Parameter Models

Use Pydantic models for `Header` parameters:

```python
from typing import Annotated

from fastapi import FastAPI, Header
from pydantic import BaseModel

x⁴ + x³ + x + 1. // Addition of these binary polynomials corresponds to binary xor. // Reducing mod poly corresponds to binary xor with poly every // time a 0x100 bit appears. const poly = 1<<8 | 1<<4 | 1<<3 | 1<<1 | 1<<0 // x⁸ + x⁴ + x³ + x + 1 // Powers of x mod poly in GF(2). var powx = [16]byte{ 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36, 0x6c, 0xd8, 0xab, 0x4d, 0x9a, 0x2f, } // FIPS-197 Figure 7. S-box substitution values in hexadecimal format. var sbox0 = [256]byte{ 0x63, 0x7c,...