lint: getdeps ## runs golangci-lint suite of linters
	@echo "Running $@ check"
	@$(GOLANGCI) run --build-tags kqueue --timeout=10m --config ./.golangci.yml
	@command typos && typos ./ || echo "typos binary is not found.. skipping.."

lint-fix: getdeps ## runs golangci-lint suite of linters with automatic fixes
	@echo "Running $@ check"
	@$(GOLANGCI) run --build-tags kqueue --timeout=10m --config ./.golangci.yml --fix

check: test

func TestTestTags(t *testing.T) {
	noTags := Filter{
		set: true,
		And: And{
			Tags: []Tag{},
		},
		andSet: true,
	}

	oneTag := Filter{
		set: true,
		And: And{
			Tags: []Tag{{Key: "FOO", Value: "1"}},
		},
		andSet: true,
	}

	twoTags := Filter{
		set: true,
		And: And{
			Tags: []Tag{{Key: "FOO", Value: "1"}, {Key: "BAR", Value: "2"}},
		},
		andSet: true,
	}

        "price": 50.2,
        "tax": 10.5,
        "tags": [],
    }


@needs_py39
def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_py39
@needs_pydanticv2

    return f"{route.tags[0]}-{route.name}"


app = FastAPI(generate_unique_id_function=custom_generate_unique_id)


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):

@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}


@app.get("/items/", response_model=list[Item], tags=["items"])
async def get_items():
    return [
        {"name": "Plumbus", "price": 3},
        {"name": "Portal Gun", "price": 9001},
    ]


@app.post("/users/", response_model=ResponseMessage, tags=["users"])
async def create_user(user: User):

        };

        PrunedTag[] tags = fessConfig.getCrawlerDocumentHtmlPrunedTagsAsArray();
        assertTrue(matchesTag(tags[0], "<script></script>"));
        assertTrue(matchesTag(tags[0], "<script id=\\\"main\\\"></script>"));
        assertFalse(matchesTag(tags[0], "<a></a>"));

        assertTrue(matchesTag(tags[1], "<div id=\"main\"></div>"));
        assertFalse(matchesTag(tags[1], "<div></div>"));

@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}


@app.get("/items/", response_model=List[Item], tags=["items"])
async def get_items():
    return [
        {"name": "Plumbus", "price": 3},
        {"name": "Portal Gun", "price": 9001},
    ]


@app.post("/users/", response_model=ResponseMessage, tags=["users"])
async def create_user(user: User):

            "limit": 10,
            "offset": 5,
            "order_by": "updated_at",
            "tags": ["tag1", "tag2"],
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "limit": 10,
        "offset": 5,
        "order_by": "updated_at",
        "tags": ["tag1", "tag2"],
    }


def test_query_param_model_defaults(client: TestClient):

                        "tax": {
                            "title": "Tax",
                            "anyOf": [{"type": "number"}, {"type": "null"}],
                        },
                        "tags": {
                            "title": "Tags",
                            "uniqueItems": True,
                            "type": "array",
                            "items": {"type": "string"},
                            "default": [],

      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    Map<R, Integer> rowIndex = Maps.indexMap(rowSpace);
    Map<R, Map<C, V>> rows = Maps.newLinkedHashMap();
    for (R row : rowSpace) {
      rows.put(row, new LinkedHashMap<C, V>());
    }
    Map<C, Map<R, V>> columns = Maps.newLinkedHashMap();
    for (C col : columnSpace) {
      columns.put(col, new LinkedHashMap<R, V>());
    }