//
// 	(Note that <suffix> may be empty, from the "" case in <decimalSI>.)
//
// <digit>           ::= 0 | 1 | ... | 9
// <digits>          ::= <digit> | <digit><digits>
// <number>          ::= <digits> | <digits>.<digits> | <digits>. | .<digits>
// <sign>            ::= "+" | "-"
// <signedNumber>    ::= <number> | <sign><number>
// <suffix>          ::= <binarySI> | <decimalExponent> | <decimalSI>
// <binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei
//

from decimal import Decimal
from typing import List

from dirty_equals import IsDict, IsOneOf
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, condecimal

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: List[Item]):
    return {"item": item}

        + override.byName.withProperty('displayName', 'Requests')
        + override.byName.withProperty('decimals', 2)
        + override.byName.withProperty('unit', 'reqps'),
        override.byName.new('Value #p50')
        + override.byName.withProperty('displayName', 'P50 Latency')
        + override.byName.withProperty('decimals', 2)
        + override.byName.withProperty('unit', 'ms'),
        override.byName.new('Value #p90')

                     {
                        "id": "displayName",
                        "value": "Requests"
                     },
                     {
                        "id": "decimals",
                        "value": 2
                     },
                     {
                        "id": "unit",
                        "value": "reqps"
                     }
                  ]

        * 📨, `set` 🔜 🗜 `list`.
        * 🏗 🔗 🔜 ✔ 👈 `set` 💲 😍 (⚙️ 🎻 🔗 `uniqueItems`).
* `bytes`:
    * 🐩 🐍 `bytes`.
    * 📨 & 📨 🔜 😥 `str`.
    * 🏗 🔗 🔜 ✔ 👈 ⚫️ `str` ⏮️ `binary` "📁".
* `Decimal`:
    * 🐩 🐍 `Decimal`.
    * 📨 & 📨, 🍵 🎏 `float`.
* 👆 💪 ✅ 🌐 ☑ Pydantic 📊 🆎 📥: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic 📊 🆎</a>.

## 🖼

import dataclasses
import datetime
from collections import defaultdict, deque
from decimal import Decimal
from enum import Enum
from ipaddress import (
    IPv4Address,
    IPv4Interface,
    IPv4Network,
    IPv6Address,
    IPv6Interface,
    IPv6Network,
)
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 collections import deque
from dataclasses import dataclass
from datetime import datetime, timezone
from decimal import Decimal
from enum import Enum
from pathlib import PurePath, PurePosixPath, PureWindowsPath
from typing import Optional

import pytest
from fastapi._compat import PYDANTIC_V2, Undefined
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel, Field, ValidationError

        * 생성된 스키마는 (JSON 스키마의 `uniqueItems`를 이용해) `set`의 값이 고유함을 명시합니다.
* `bytes`:
    * 표준 파이썬의 `bytes`.
    * 요청과 응답에서 `str`로 취급됩니다.
    * 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다.
* `Decimal`:
    * 표준 파이썬의 `Decimal`.
    * 요청과 응답에서 `float`와 동일하게 다뤄집니다.
* 여기에서 모든 유효한 pydantic 데이터 자료형을 확인할 수 있습니다: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic 데이터 자료형</a>.

## 예시

// Consult your driver documentation for a list of driver data types. Length specifiers
// are not included.
// Common type names include "VARCHAR", "TEXT", "NVARCHAR", "DECIMAL", "BOOL",
// "INT", and "BIGINT".
func (ct ColumnType) DatabaseTypeName() string {
	if ct.DataTypeValue.Valid {
		return ct.DataTypeValue.String
	}
	return ct.SQLColumnType.DatabaseTypeName()
}

                     "mode": "scheme",
                     "scheme": "Spectral",
                     "steps": 128
                  },
                  "yAxis": {
                     "decimals": 0,
                     "unit": "s"
                  }
               },
               "pluginVersion": "v11.0.0",
               "targets": [
                  {
                     "datasource": {