/**
     * Adds a script engine.
     * @param name The name of the script engine.
     * @param scriptEngine The script engine.
     */
    public void add(final String name, final ScriptEngine scriptEngine) {
        if (name == null || scriptEngine == null) {
            throw new IllegalArgumentException(
                    "Both name and scriptEngine parameters are required. name: " + name + ", scriptEngine: " + scriptEngine);
        }

	} else if result.Name != "foo" || result.Name2 != "foo" || result.Name3 != "" || result.Age != 18 || !result.Enabled || result.Created.Format("20060102") != "20000102" {
		t.Fatalf("Failed to find created data with default data, got %+v", result)
	}

	type Harumph2 struct {
		ID      int       `gorm:"default:0"`
		Email   string    `gorm:"not null;index:,unique"`
		Name    string    `gorm:"notNull;default:foo"`

    ],
)

cc_library(
    name = "abstract_op_attrs",
    hdrs = ["abstract_op_attrs.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "@com_google_absl//absl/container:inlined_vector",
    ],
)

cc_library(
    name = "abstract_operation",
    hdrs = ["abstract_operation.h"],

            // Given: SAM entry with data
            samr.SamrSamEntry entry = new samr.SamrSamEntry();
            entry.idx = 1;
            entry.name = new rpc.unicode_string();
            entry.name.length = 4;
            entry.name.maximum_length = 6;
            entry.name.buffer = new short[] { 't', 'e', 's', 't' };

            // When: Encoding entry
            entry.encode(mockNdrBuffer);

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Image(BaseModel):
    url: str
    name: str


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


@app.put("/items/{item_id}")

from pydantic.v1 import BaseModel

app = FastAPI()


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

    class Config:
        schema_extra = {
            "examples": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    item_id: int,
    item: Annotated[
        Item,
        Body(
            examples=[
                {
                    "name": "Foo",
                    "description": "A very nice Item",

		}
	case target.Type == obj.TYPE_REG:
		// JMP R1
		*targetAddr = *target
	case target.Type == obj.TYPE_MEM && (target.Name == obj.NAME_EXTERN || target.Name == obj.NAME_STATIC):
		// JMP main·morestack(SB)
		*targetAddr = *target
	case target.Type == obj.TYPE_INDIR && (target.Name == obj.NAME_EXTERN || target.Name == obj.NAME_STATIC):
		// JMP *main·morestack(SB)
		*targetAddr = *target
		targetAddr.Type = obj.TYPE_INDIR

      mockServerClient
        .`when`(
          request()
            .withPath("/person")
            .withQueryStringParameter("name", "peter"),
        ).respond(response().withBody("Peter the person!"))

      val response = client.newCall(Request((mockServer.endpoint + "/person?name=peter").toHttpUrl())).execute()

      assertThat(response.body.string()).contains("Peter the person")
    }
  }

  @Test

 * It supports both regular deployment and Docker container environments.
 *
 */
public class ResourceUtil {
    /** Environment variable name for overriding the configuration path */
    private static final String FESS_OVERRIDE_CONF_PATH = "FESS_OVERRIDE_CONF_PATH";

    /** Environment variable name for specifying the application type */
    private static final String FESS_APP_TYPE = "FESS_APP_TYPE";