Point a web browser running on the host machine to <http://127.0.0.1:9000> and log in with the root credentials.
You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client `mc` commandline tool:

```sh
mc alias set local http://localhost:9000 minioadmin minioadmin
mc admin info local
```

import org.eclipse.aether.repository.WorkspaceRepository;

import static java.util.Objects.requireNonNull;

/**
 * A maven workspace reader that delegates to a chain of other readers, effectively aggregating their contents.
 * <p>
 * This class, while technically is not immutable, should be considered as such once set up. If not mutated, it is also

			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

  }

  /**
   * This decodes a value into its contents using a preceding member of the same SEQUENCE. For
   * example, extensions type IDs specify what types to use for the corresponding values.
   *
   * If the hint is unknown [chooser] should return null which will cause the value to be decoded as
   * an opaque byte string.
   *
   * This may optionally wrap the contents in a tag.
   */

* `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.

///

            throw new ThemeException("Theme name is empty: " + artifact);
        }
        return themeName;
    }

    /**
     * Recursively deletes a directory and all its contents.
     * Does not throw exceptions, only logs warnings if deletion fails.
     *
     * @param dir the directory to delete
     */
    protected void closeQuietly(final Path dir) {

		return fmt.Errorf(msg, path, crossMounts)
	}
	return nil
}

// readProcMounts reads the given mountFilePath (normally /proc/mounts) and produces a hash
// of the contents.  If the out argument is not nil, this fills it with MountPoint structs.
func readProcMounts(mountFilePath string) (mountInfos, error) {
	file, err := os.Open(mountFilePath)
	if err != nil {
		return nil, err
	}

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: