/**
     * Whether this metadata should be stored alongside the artifact.
     *
     * @return whether this metadata should be stored alongside the artifact
     */
    boolean storedInArtifactVersionDirectory();

    /**
     * Whether this metadata should be stored alongside the group.
     *
     * @return whether this metadata should be stored alongside the group
     */
    boolean storedInGroupDirectory();

  }

  /**
   * Returns the comparator that orders the columns. With natural ordering, {@link
   * Ordering#natural()} is returned.
   *
   * @deprecated Store the {@link Comparator} alongside the {@link Table}. Or, if you know that the
   *     {@link Table} contains at least one value, you can retrieve the {@link Comparator} with:

          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

func (fi FileInfo) IsCompressed() bool {
	_, ok := fi.Metadata[ReservedMetadataPrefix+"compression"]
	return ok
}

// InlineData returns true if object contents are inlined alongside its metadata.
func (fi FileInfo) InlineData() bool {
	_, ok := fi.Metadata[ReservedMetadataPrefixLower+"inline-data"]
	// Earlier MinIO versions didn't reset "x-minio-internal-inline-data"

- Enabled the `node-local` kubelet podresources API endpoint on windows, alongside unix. ([#115133](https://github.com/kubernetes/kubernetes/pull/115133), [@ffromani](https://github.com/ffromani))

        packages that cannot be found unless the user installs them beforehand
        or provides additional installation flags.
    *   This dependency affected anyone installing TensorFlow 2.15 alongside
        NVIDIA CUDA dependencies via `pip install tensorflow[and-cuda]`.
    *   Depending on the installation method, TensorFlow 2.14 would be installed