It just returns a JSON response with the result of the application's `.openapi()` method.

By default, what the method `.openapi()` does is check the property `.openapi_schema` to see if it has contents and return them.

If it doesn't, it generates them using the utility function at `fastapi.openapi.utils.get_openapi`.

And that function `get_openapi()` receives as parameters:

	done
}

function perform_test() {
	start_port=$2

	start_minio_3_node $start_port

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

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

	set -x
	start_minio_3_node $start_port

	check_heal ${1}
	rv=$?
	if [ "$rv" == "1" ]; then
		fail
	fi
}

# limitations under the License.
# ============================================================================

name: Close inactive issues
on:
  schedule:
    - cron: "30 1 * * *"

permissions:
  contents: read

jobs:
  close-issues:
    # Don't do this in forks
    if: github.repository == 'tensorflow/tensorflow'
    runs-on: ubuntu-latest
    permissions:
      issues: write
      pull-requests: write

            CloseableUtil.close(os);
        }
    }

    // ////////////////////////////////////////////////////////////////
    // internal methods
    //
    /**
     * Copies the contents of an input stream to an output stream.
     * <p>
     * Neither the input stream nor the output stream is closed.
     * </p>
     *
     * @param in the input stream
     * @param out the output stream

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:

	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

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Underneath, the `open("./somefile.txt")` creates an object that is called a "Context Manager".

When the `with` block finishes, it makes sure to close the file, even if there were exceptions.

			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"

suggest.update.doc.per.request=2
# Percentage limit for suggestion update contents.
suggest.update.contents.limit.num.percentage=50%
# Maximum number of suggestion update contents.
suggest.update.contents.limit.num=10000
# Maximum document size for suggestion update.
suggest.update.contents.limit.doc.size=50000
# Scroll size for suggestion source reader.
suggest.source.reader.scroll.size=1