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


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):
    results = {"item_id": item_id, "item": item, "user": user, "importance": importance}

   *     FIRST_LETTER_MULTIMAP = MultimapBuilder.treeKeys().arrayListValues().build();
   *     FIRST_LETTER_MULTIMAP.put('b', "anana");
   *     FIRST_LETTER_MULTIMAP.put('a', "pple");
   *     FIRST_LETTER_MULTIMAP.put('a', "sparagus");
   *     FIRST_LETTER_MULTIMAP.put('c', "arrot");
   *     FIRST_LETTER_MULTIMAP.put('c', "herry");
   * }
   * }
   *
   * <p>To collect to an {@link ImmutableMultimap}, use either {@link

   *     FIRST_LETTER_MULTIMAP = MultimapBuilder.treeKeys().arrayListValues().build();
   *     FIRST_LETTER_MULTIMAP.put('b', "anana");
   *     FIRST_LETTER_MULTIMAP.put('a', "pple");
   *     FIRST_LETTER_MULTIMAP.put('a', "sparagus");
   *     FIRST_LETTER_MULTIMAP.put('c', "arrot");
   *     FIRST_LETTER_MULTIMAP.put('c', "herry");
   * }
   * }
   *
   * <p>To collect to an {@link ImmutableMultimap}, use either {@link

When you PUT an object in a versioning-enabled bucket, the noncurrent version is not overwritten. The following figure shows that when a new version of `spark.csv` is PUT into a bucket that already contains an object with the same name, the original object (ID = `ede336f2`) remains in the bucket, MinIO generates a new version (ID = `fae684da`), and adds the newer version to the bucket.

        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: float | None = None


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

            Map<String, Object> options = new HashMap<>();
            options.put(ModelProcessor.IS_STRICT, strict);
            options.put(ModelProcessor.INPUT_SOURCE, source);
            options.put(ModelProcessor.SOURCE, modelSource);

            try {
                model = modelProcessor.read(modelSource.getInputStream(), options);

                    if (language != null) {
                        if (logger.isDebugEnabled()) {
                            logger.debug("set {} to lang field", language);
                        }
                        doc.put(fessConfig.getIndexFieldLang(), language);
                        break;
                    }
                }
            }
            if (language == null) {
                return;
            }
        }

	bucketReplProxiedPutTaggingRequestsFailuresMD = NewCounterMD(bucketReplProxiedPutTaggingRequestsFailures,
		"Number of failures in PUT tagging requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedPutTaggingRequestsTotalMD = NewCounterMD(bucketReplProxiedPutTaggingRequestsTotal,
		"Number of PUT tagging requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplSentBytesMD = NewCounterMD(bucketReplSentBytes,

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


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item,
    user: User,
    importance: int = Body(gt=0),
    q: str | None = None,
):

   * otherwise create, cache and return" pattern.
   *
   * @since 11.0
   */
  void put(K key, V value);

  /**
   * Copies all of the mappings from the specified map to the cache. The effect of this call is
   * equivalent to that of calling {@code put(k, v)} on this map once for each mapping from key
   * {@code k} to value {@code v} in the specified map. The behavior of this operation is undefined