return buffer.limit();
    }

    /**
     * Check if region has specific access permission
     *
     * @param access access permission to check
     * @return true if access is allowed, false otherwise
     */
    public boolean hasAccess(RdmaAccess access) {
        return accessFlags.contains(access);
    }

    /**
     * Check if memory region is still valid
     *

      for (int itemNumber = 0; itemNumber < group.size(); itemNumber++) {
        // check related items in same group
        for (int relatedItemNumber = 0; relatedItemNumber < group.size(); relatedItemNumber++) {
          if (itemNumber != relatedItemNumber) {
            assertRelated(groupNumber, itemNumber, relatedItemNumber);
          }
        }
        // check unrelated items in all other groups
        for (int unrelatedGroupNumber = 0;

**1. New PR**

- As a contributor, you submit a New PR on GitHub.
- We inspect every incoming PR and add certain labels to the PR such as `size:`,
  `comp:` etc.  At this stage we check if the PR is valid and meets certain
  quality requirements. For example, we check if the CLA is signed, PR has
  sufficient description, if applicable unit tests are added, if it is a
  reasonable contribution (meaning it is not a single liner cosmetic PR).

Check the in-code annotation tips above to see more specific details.

## Learn More { #learn-more }

You can also combine `dataclasses` with other Pydantic models, inherit from them, include them in your own models, etc.

👉 💼, `item_id` 📣 `int`.

/// check

👉 🔜 🤝 👆 👨‍🎨 🐕‍🦺 🔘 👆 🔢, ⏮️ ❌ ✅, 🛠️, ♒️.

///

## 💽 <abbr title="also known as: serialization, parsing, marshalling">🛠️</abbr>

🚥 👆 🏃 👉 🖼 &amp; 📂 👆 🖥 <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a>, 👆 🔜 👀 📨:

```JSON
{"item_id":3}
```

/// check

Tipe data parameter path bisa didefinisikan di dalam fungsi, menggunakan anotasi tipe data standar Python:

{* ../../docs_src/path_params/tutorial002.py hl[7] *}

Dalam hal ini `item_id` didefinisikan sebagai `int`.

/// check | Periksa

Penyunting kode anda bisa membantu periksa di dalam fungsi seperti pemeriksaan kesalahan, kelengkapan kode, dll.

///

## <abbr title="juga disebut: serialization, parsing, marshalling">Konversi</abbr> data

You need to import `WSGIMiddleware`.

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

{* ../../docs_src/wsgi/tutorial001.py hl[2:3,3] *}

## Check it { #check-it }

Now, every request under the path `/v1/` will be handled by the Flask application.

And the rest will be handled by **FastAPI**.

     * @return the domain the user account is in
     */
    String getUserDomain();

    /**
     * Check if these are anonymous credentials.
     * @return whether these are anonymous credentials
     */
    boolean isAnonymous();

    /**
     * Check if these are guest credentials.
     * @return whether these are guest credentials
     */
    boolean isGuest();

	postPolicyBucketTagging = "tagging"
)

// Check if there are buckets on server without corresponding entry in etcd backend and
// make entries. Here is the general flow
// - Range over all the available buckets
// - Check if a bucket has an entry in etcd backend
// -- If no, make an entry
// -- If yes, check if the entry matches local IP check if we
//
//	need to update the entry then proceed to update
//

	exit 1
fi

OUT=$(./mc cp --quiet --recursive "${ALIAS_NAME}"/"${BUCKET}"/new-data/ "${DEST_DIR}"/)
RET=${?}
if [ ${RET} -ne 0 ]; then
	echo "Get objects failed: ${OUT}"
	exit 1
fi

# Check if check sums match for source and destination directories
CHECK_SUM_SRC=$(sha384sum <(sha384sum "${SRC_DIR}"/* | cut -d " " -f 1 | sort) | cut -d " " -f 1)