assert response.json() == {"name": "coerce", "price": 1.0, "owner_ids": None}


def test_validlist():
    response = client.get("/items/validlist")
    response.raise_for_status()
    assert response.json() == [
        {"name": "foo", "price": None, "owner_ids": None},
        {"name": "bar", "price": 1.0, "owner_ids": None},
        {"name": "baz", "price": 2.0, "owner_ids": [1, 2, 3]},

        private final List<String> ids;

        private final int hashCode;

        public CacheKey(List<Artifact> extensionArtifacts) {
            this.files = new ArrayList<>(extensionArtifacts.size());
            this.timestamps = new ArrayList<>(extensionArtifacts.size());
            this.sizes = new ArrayList<>(extensionArtifacts.size());
            this.ids = new ArrayList<>(extensionArtifacts.size());

    assert response.json() == [
        {"aliased_name": "foo", "price": None, "owner_ids": None},
        {"aliased_name": "bar", "price": 1.0, "owner_ids": None},
        {"aliased_name": "baz", "price": 2.0, "owner_ids": [1, 2, 3]},
    ]


def test_validdict():
    response = client.get("/items/validdict")
    response.raise_for_status()
    assert response.json() == {

            "price": None,
            "owner_ids": None,
        },
        {
            "name": "bar",
            "date": datetime(2021, 7, 26).isoformat(),
            "price": 1.0,
            "owner_ids": None,
        },
        {
            "name": "baz",
            "date": datetime(2021, 7, 26).isoformat(),
            "price": 2.0,
            "owner_ids": [1, 2, 3],
        },
    ]

from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None
    owner_ids: Optional[List[int]] = None


@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}


@app.get("/items/invalidnone", response_model=Item)

  }
  if (result.size() != source_tensor_ids.size()) {
    return errors::Internal("Expected result Span to be of size ",
                            source_tensor_ids.size(), " found ", result.size(),
                            " in call to Tape::ComputeGradient.");
  }
  std::unordered_set<int64_t> used_gradient_ids(source_tensor_ids.size());
  for (int i = 0; i < source_tensor_ids.size(); i++) {

from fastapi.routing import APIRoute

app = FastAPI()


@app.get("/items/")
async def read_items():
    return [{"item_id": "Foo"}]


def use_route_names_as_operation_ids(app: FastAPI) -> None:
    """
    Simplify operation IDs so that generated API clients have simpler function
    names.

    Should be called only after all routes have been added.
    """
    for route in app.routes:

                final String[] ids = { "", "", "" };
                if (Constants.WEB_CRAWLER_TYPE.equals(type)) {
                    ids[0] = "\"" + id + "\"";
                } else if (Constants.FILE_CRAWLER_TYPE.equals(type)) {
                    ids[1] = "\"" + id + "\"";
                } else if (Constants.DATA_CRAWLER_TYPE.equals(type)) {
                    ids[2] = "\"" + id + "\"";
                }

  std::vector<int64_t> source_tensor_ids = MakeTensorIDList(sources);
  tensorflow::gtl::FlatSet<int64_t> sources_set(source_tensor_ids.begin(),
                                                source_tensor_ids.end());
  std::unordered_map<int64_t, TapeTensor> sources_that_are_targets;
  for (int i = 0; i < target_tensor_ids.size(); ++i) {
    int64_t target_id = target_tensor_ids[i];

    /**
     * Gets the list of group ids to scan for the plugin prefix.
     *
     * @return The list of group ids to scan for the plugin prefix, never {@code null}.
     */
    List<String> getPluginGroups();

    /**
     * Sets the list of group ids to scan for the plugin prefix.
     *
     * @param pluginGroups The list of group ids to scan for the plugin prefix, may be {@code null}.