import (
	"database/sql/driver"
	"fmt"
	"reflect"
	"regexp"
	"strconv"
	"strings"
	"time"
	"unicode"

	"gorm.io/gorm/utils"
)

const (
	tmFmtWithMS = "2006-01-02 15:04:05.999"
	tmFmtZero   = "0000-00-00 00:00:00"
	nullStr     = "NULL"
)

func isPrintable(s string) bool {
	for _, r := range s {
		if !unicode.IsPrint(r) {
			return false
		}
	}
	return true
}

		ft := f.Type

		// In godefs mode, if this field is a C11
		// anonymous union then treat the first field in the
		// union as the field in the struct. This handles
		// cases like the glibc <sys/resource.h> file; see
		// issue 6677.
		if *godefs {
			if st, ok := f.Type.(*dwarf.StructType); ok && name == "" && st.Kind == "union" && len(st.Field) > 0 && !used[st.Field[0].Name] {
				name = st.Field[0].Name

from typing import Union

from dirty_equals import IsDict
from fastapi import FastAPI
from fastapi._compat import PYDANTIC_V2
from fastapi.testclient import TestClient
from pydantic import BaseModel, ConfigDict


class FooBaseModel(BaseModel):
    if PYDANTIC_V2:
        model_config = ConfigDict(extra="forbid")
    else:

        class Config:
            extra = "forbid"


class Foo(FooBaseModel):
    pass

        }
        System.arraycopy( passwordBytes, 0, p14, 0, passwordLength );
        E( p14, S8, p21);
        E( p21, challenge, p24);
        return p24;
    }
/**
 * Generate the Unicode MD4 hash for the password associated with these credentials.
 */
    static public byte[] getNTLMResponse( String password, byte[] challenge ) {
        byte[] uni = null;
        byte[] p21 = new byte[21];

* `dict`

And the same as with Python 3.8, from the `typing` module:

* `Union`
* `Optional` (the same as with Python 3.8)
* ...and others.

In Python 3.10, as an alternative to using the generics `Union` and `Optional`, you can use the <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr> to declare unions of types, that's a lot better and simpler.

////

## Приклад

### Створіть

* Створіть файл `main.py` з:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

        status_code: Optional[int] = None,
        tags: Optional[List[Union[str, Enum]]] = None,
        dependencies: Optional[Sequence[params.Depends]] = None,
        summary: Optional[str] = None,
        description: Optional[str] = None,
        response_description: str = "Successful Response",
        responses: Optional[Dict[Union[int, str], Dict[str, Any]]] = None,
        deprecated: Optional[bool] = None,

///

* Verifique em <a href="https://github.com/fastapi/fastapi/issues" class="external-link" target="_blank">_issues_</a> para ver se existe alguém coordenando traduções para a sua linguagem.

* Adicione um único _pull request_ por página traduzida. Isso tornará muito mais fácil a revisão para as outras pessoas.

Para as linguagens que eu não falo, vou esperar por várias pessoas revisarem a tradução antes de _mergear_.

		benchBytes(b, indexSizes, bmIndexRuneUnicode(unicode.Latin, 'é'))
	})
	b.Run("Cyrillic", func(b *testing.B) {
		// Cyrillic is mostly 2 and 3 byte runes.
		benchBytes(b, indexSizes, bmIndexRuneUnicode(unicode.Cyrillic, 'Ꙁ'))
	})
	b.Run("Han", func(b *testing.B) {
		// Han consists only of 3 and 4 byte runes.
		benchBytes(b, indexSizes, bmIndexRuneUnicode(unicode.Han, '𠀿'))
	})
}

package jstream

import (
	"unicode/utf8"
)

type scratch struct {
	data []byte
	fill int
}

// reset scratch buffer
func (s *scratch) reset() { s.fill = 0 }

// bytes returns the written contents of scratch buffer
func (s *scratch) bytes() []byte { return s.data[0:s.fill] }

// grow scratch buffer
func (s *scratch) grow() {
	ndata := make([]byte, cap(s.data)*2)
	copy(ndata, s.data)
	s.data = ndata
}