result, err := s3.core.ListObjectsV2(s3.Bucket, s3.Prefix, "", "", slashSeparator, 1)
	if err != nil {
		return false, s3.ToObjectError(err)
	}
	return len(result.CommonPrefixes) > 0 || len(result.Contents) > 0, nil
}

func newWarmBackendS3(conf madmin.TierS3, tier string) (*warmBackendS3, error) {
	u, err := url.Parse(conf.Endpoint)
	if err != nil {
		return nil, err
	}

	// Validation code

			return gzippedBody
		}
		defer r.Close()
		b, _ := io.ReadAll(io.LimitReader(r, 10<<20))
		return b
	}
	// If there was an error response or body logging is enabled
	// then we return the body contents
	if (lrw.LogErrBody && lrw.StatusCode >= http.StatusBadRequest) || lrw.LogAllBody {
		return lrw.body.Bytes()
	}
	// ... otherwise we return the <BLOB> place holder
	return blobBody
}

			chmod +x /tmp/mc
	fi
}

function perform_test() {
	start_minio_3_node $2

	echo "Testing Distributed Erasure setup healing of drives"
	echo "Remove the contents of the disks belonging to '${1}' erasure set"

	rm -rf ${WORK_DIR}/${1}/*/

	set -x
	start_minio_3_node $2
}

function main() {
	# use same ports for all tests

pkg_name=$(echo "${pure_python_whl}" | awk -F'-py3-' '{print $1}')

# Save the current working directory and then switch to the output directory.
pushd "${TFCI_OUTPUT_DIR}"

# Unpack the wheel to get all the file contents. The pure python wheel we built
# above is tagged with "py3-none-any". We cannot change the tags by simply
# renaming the wheels as uploading to PyPI would fail with "File already exists"

* `close()`: 파일을 닫습니다.

상기 모든 메소드들이 `async` 메소드이기 때문에 “await”을 사용하여야 합니다.

예를들어, `async` *경로 작동 함수*의 내부에서 다음과 같은 방식으로 내용을 가져올 수 있습니다:

```Python
contents = await myfile.read()
```

만약 일반적인 `def` *경로 작동 함수*의 내부라면, 다음과 같이 `UploadFile.file` 에 직접 접근할 수 있습니다:

```Python
contents = myfile.file.read()
```

/// note |  "`async` 기술적 세부사항"

`async` 메소드들을 사용할 때 **FastAPI**는 스레드풀에서 파일 메소드들을 실행하고 그들을 기다립니다.

///

    assertEqualIgnoringOrder(asList(expected), asList(actual));
  }

  private void expectArrayContentsInOrder(List<E> expected, Object[] actual) {
    assertEquals("toArray() ordered contents: ", expected, asList(actual));
  }

  /**
   * Returns the {@link Method} instance for {@link #testToArray_isPlainObjectArray()} so that tests
   * of {@link Arrays#asList(Object[])} can suppress it with {@code

    if (values.size() >= 1) {
      a = values.get(0);
      if (values.size() >= 3) {
        b = values.get(1);
        c = values.get(2);
      }
    }
  }

  /** Resets the contents of navigableSet to have elements a, c, for the navigation tests. */
  protected void resetWithHole() {
    super.resetContainer(getSubjectGenerator().create(a, c));
    navigableSet = (NavigableSet<E>) getSet();
  }

Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:

```Python
item: Item = Body(embed=True)
```

as in:

//// tab | Python 3.10+

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code