pkg image, method (*NYCbCrA) At(int, int) color.Color
pkg image, method (*NYCbCrA) Bounds() Rectangle
pkg image, method (*NYCbCrA) COffset(int, int) int
pkg image, method (*NYCbCrA) ColorModel() color.Model
pkg image, method (*NYCbCrA) NYCbCrAAt(int, int) color.NYCbCrA
pkg image, method (*NYCbCrA) Opaque() bool
pkg image, method (*NYCbCrA) SubImage(Rectangle) Image
pkg image, method (*NYCbCrA) YCbCrAt(int, int) color.YCbCr

			coreMap[cpus[i].CoreID] = struct{}{}
		}
		cpu := cpus[0]
		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
	}
	uaAppend(")", "")

	return strings.Join(userAgentParts, "")
}

	// but we must make sure there is always space to add 256 bytes:
	// https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/model/SelectObjectContentEventStream.java#L197
	maxRecordMessageLength = (128 << 10) - 256
)

var bufLength = payloadLenForMsgLen(maxRecordMessageLength)

def get_app_client(separate_input_output_schemas: bool = True) -> TestClient:
    app = FastAPI(separate_input_output_schemas=separate_input_output_schemas)

    @app.post("/items/", responses={402: {"model": Item}})
    def create_item(item: Item) -> Item:
        return item

    @app.post("/items-list/")
    def create_item_list(item: list[Item]):
        return item

    @app.get("/items/")

Ayrıca Pydantic modelleri de döndürebilirsiniz (bununla ilgili daha fazlasını ileride göreceksiniz).

Otomatik olarak JSON'a dönüştürülecek (ORM'ler vb. dahil) başka birçok nesne ve model vardır. En sevdiğiniz nesne/model'leri kullanmayı deneyin; büyük ihtimalle zaten destekleniyordur.

### Adım 6: Deploy edin { #step-6-deploy-it }

如果你寫帶有 Python 型別的程式碼：

```Python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像這樣來使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは次のように使えます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Manager class for coordinating LLM (Large Language Model) client operations.
 *
 * This class serves as the central coordinator for LLM operations in Fess.
 * It manages registered LLM clients and provides access to the configured
 * LLM provider based on the current configuration.

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

</div>

將輸出的值複製到變數 `SECRET_KEY`（不要使用範例中的那一組）。

建立變數 `ALGORITHM` 指定用來簽署 JWT 權杖的演算法，設為 `"HS256"`。

建立一個權杖有效期的變數。

定義一個用於權杖端點回應的 Pydantic Model。

建立一個工具函式來產生新的 access token。

{* ../../docs_src/security/tutorial004_an_py310.py hl[4,7,13:15,29:31,82:90] *}

## 更新相依項目 { #update-the-dependencies }

更新 `get_current_user`，讓它仍接收相同的權杖，但這次改用 JWT 權杖。

   * require a (different in each case) function that translates storedPermits to throttling time.
   *
   * This role is played by storedPermitsToWaitTime(double storedPermits, double permitsToTake). The
   * underlying model is a continuous function mapping storedPermits (from 0.0 to maxStoredPermits)
   * onto the 1/rate (i.e. intervals) that is effective at the given storedPermits. "storedPermits"