"parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "integer"},
                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            }
        },
        "components": {
            "schemas": {

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

name: OSV-Scanner Scheduled Scan

on:
  schedule:
    - cron: 0 4 * * 1

permissions:
  # Require writing security events to upload SARIF file to security tab
  security-events: write
  # Only need to read contents

    id("org.gradle.toolchains.foojay-resolver-convention").version("1.0.0")
}

include("build-environment")
include("configuration-cache-compatibility")

            assertEquals("S-1-5-10-20", unknown.getDomainName());
            assertEquals("30", unknown.getAccountName());

            // Domain type: domain name as-is, account name empty
            SID domain = new SID(buildSidT((byte) 1, ident, 10, 20), jcifs.SID.SID_TYPE_DOMAIN, "MYDOM", "ignored", false);
            assertEquals("MYDOM", domain.getDomainName());

```

これを「呼び出し可能」なものと呼びます。

## 依存関係としてのクラス

Pythonのクラスのインスタンスを作成する際に、同じ構文を使用していることに気づくかもしれません。

例えば:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

この場合、`fluffy`は`Cat`クラスのインスタンスです。

そして`fluffy`を作成するために、`Cat`を「呼び出している」ことになります。

そのため、Pythonのクラスもまた「呼び出し可能」です。

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


class User(BaseModel):
    username: str
    full_name: Union[str, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User):

package util

import common.Arch
import common.Os
import configurations.DownloadGitRepoToEc2Agent
import jetbrains.buildServer.configs.kotlin.Project

object UtilProject : Project({
    id("Util")
    name = "Util"

    buildType(RerunFlakyTest(Os.LINUX))
    buildType(RerunFlakyTest(Os.WINDOWS))
    buildType(RerunFlakyTest(Os.MACOS, Arch.AMD64))
    buildType(RerunFlakyTest(Os.MACOS, Arch.AARCH64))
    buildType(WarmupEc2Agent)

import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * @author ESFlute (using FreeGen)
 */

 * <ul>
 *   <li>{@code ElevateWordSettings(SuggestSettings settings, Client client, String settingsIndexName, String settingsId)} -
 *       Initializes the ElevateWordSettings with the provided settings, client, index name, and settings ID.</li>
 * </ul>
 *
 * <p>Dependencies:</p>
 * <ul>
 *   <li>{@code ArraySettings} - Used to manage the array settings for elevate words.</li>
 *   <li>{@code SuggestSettings} - The suggestion settings.</li>

import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * @author ESFlute (using FreeGen)
 */