from fastapi import FastAPI, Path
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: str | None = None,
    item: Item | None = None,
):

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", summary="Create an item")
async def create_item(item: Item) -> Item:
    """
    Create an item with all the information:

    - **name**: each item must have a name

      } else {
        EXPECT_EQ(dltensor_out->strides[i],
                  dltensor_out->shape[i + 1] * dltensor_out->strides[i + 1]);
      }
    }
  }
  const float* data_in = static_cast<const float*>(dltensor_in->data);
  const float* data_out = static_cast<const float*>(dltensor_out->data);
  for (size_t j = 0; j < num_elements; ++j) {
    EXPECT_EQ(data_out[j], data_in[j]);
  }

  TFE_CallDLManagedTensorDeleter(dlm_out);

     * The URL where the crawling error occurred.
     */
    private final String url;

    /**
     * Flag indicating whether the crawling process should be aborted.
     */
    private final boolean abort;

    /**
     * Creates a new DataStoreCrawlingException with the specified URL, message, and cause.
     * The abort flag is set to false by default.
     *
     * @param url the URL where the crawling error occurred

        void testIsShareDfsWithShareFlags() throws Exception {
            // Test with DFS flag
            setPrivateField(response, "shareFlags", Smb2TreeConnectResponse.SMB2_SHAREFLAG_DFS);
            assertTrue(response.isShareDfs(), "Should detect DFS from DFS flag");

            // Test with DFS_ROOT flag
            setPrivateField(response, "shareFlags", Smb2TreeConnectResponse.SMB2_SHAREFLAG_DFS_ROOT);

    padding-right: 8px;
  }

  .daterangepicker .ranges, .daterangepicker .drp-calendar {
    float: left;
  }
}

@media (min-width: 730px) {
  .daterangepicker .ranges {
    width: auto;
  }

  .daterangepicker .ranges {
    float: left;
  }

  .daterangepicker.rtl .ranges {
    float: right;
  }

  .daterangepicker .drp-calendar.left {
    clear: none !important;
  }

		if f.method == Deflate {
			var buf bytes.Buffer
			w, err := flate.NewWriter(&buf, flate.BestSpeed)
			if err != nil {
				t.Fatalf("flate.NewWriter err = %v", err)
			}
			_, err = w.Write(f.content)
			if err != nil {
				t.Fatalf("flate Write err = %v", err)
			}
			err = w.Close()
			if err != nil {
				t.Fatalf("flate Writer.Close err = %v", err)
			}
			compressedContent = buf.Bytes()

common --define=grpc_no_ares=true

# See https://github.com/bazelbuild/bazel/issues/7362 for information on what
# --incompatible_remove_legacy_whole_archive flag does.
# This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate
# Tensorflow to the default, however test coverage wasn't enough to catch the
# errors.

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            openapi_examples={

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


app = FastAPI()


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