package dns

import (
	"encoding/json"
	"time"
)

const (
	defaultTTL            = 30
	defaultContextTimeout = 5 * time.Minute
)

// SrvRecord - represents a DNS service record
type SrvRecord struct {
	Host     string      `json:"host,omitempty"`
	Port     json.Number `json:"port,omitempty"`
	Priority int         `json:"priority,omitempty"`
	Weight   int         `json:"weight,omitempty"`

    /**
     * Performs a lookup for given typed component.
     *
     * @param type The component type.
     * @return The component.
     * @param <T> The component type.
     * @throws LookupException if no such component or there is some provisioning related issue.
     */
    @Nonnull
    <T> T lookup(Class<T> type);

    /**
     * Performs a lookup for given typed component.
     *

            boolean typed = false;
            if (maybeTyped && property[1].length() >= 2) {
                typed = property[1].matches(
                        "\\s*[TILFDXSCBilfdxscb]?(\\[[\\S\\s]*\\]|\\([\\S\\s]*\\)|\\{[\\S\\s]*\\}|\"[\\S\\s]*\")\\s*");
            }
            if (this.typed == null) {
                this.typed = typed;
            } else {

* Datenvalidierung
* Automatische Dokumentation

## Spezielle Typen und Validierungen

Abgesehen von normalen einfachen Typen, wie `str`, `int`, `float`, usw. können Sie komplexere einfache Typen verwenden, die von `str` erben.

                        0xffffffff);
            }
            byte[] type1 = new byte[hostInfo ?
                    (32 + domain.length + workstation.length) : 16];
            System.arraycopy(NTLMSSP_SIGNATURE, 0, type1, 0, 8);
            writeULong(type1, 8, 1);
            writeULong(type1, 12, flags);
            if (hostInfo) {
                writeSecurityBuffer(type1, 16, 32, domain);

)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from uuid import UUID

from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from typing_extensions import Annotated, Doc

        field_info = field.field_info
        if not (
            field.shape == SHAPE_SINGLETON  # type: ignore[attr-defined]
            and not lenient_issubclass(field.type_, BaseModel)
            and not lenient_issubclass(field.type_, dict)
            and not field_annotation_is_sequence(field.type_)
            and not is_dataclass(field.type_)
            and not isinstance(field_info, params.Body)
        ):
            return False

Taran Pelkey <******@****.***> 1716916456 -0400

Anis Eleuch <******@****.***> 1701941636 -0800

একই পর্যায়ে, আপনি অটোকমপ্লিট ট্রিগার করতে `Ctrl+Space` চাপেন এবং আপনি দেখতে পান:

<img src="/img/python-types/image02.png">

এর সাথে, আপনি অপশনগুলি দেখে, স্ক্রল করতে পারেন, যতক্ষণ না আপনি এমন একটি অপশন খুঁজে পান যা কিছু মনে পরিয়ে দেয়:

<img src="/img/python-types/image03.png">

## আরও প্রেরণা

এই ফাংশনটি দেখুন, এটিতে ইতিমধ্যে টাইপ হিন্ট রয়েছে:

```Python hl_lines="1"