"hubierais", "hubieran", "hubiese", "hubieses", "hubiésemos", "hubieseis", "hubiesen", "habiendo", "habido", "habida", "habidos", "habidas", "soy", "eres", "es", "somos", "sois", "son", "sea", "seas", "seamos", "seáis", "sean", "seré", "serás", "será", "seremos", "seréis", "serán", "sería", "serías", "seríamos", "seríais", "serían", "era", "eras", "éramos", "erais", "eran", "fui", "fuiste", "fue", "fuimos", "fuisteis", "fueron", "fuera", "fueras", "fuéramos", "fuerais", "fueran", "fuese", "fueses", "fuésemos",...

      "Lorem ipsum dolor sit amet, consectetur adipiscing "
          + "elit. Cras fringilla elit ac ipsum adipiscing vulputate. Maecenas in lorem nulla, ac "
          + "sollicitudin quam. Praesent neque elit, sodales quis vestibulum vel, pellentesque nec "
          + "erat. Proin cursus commodo lacus eget congue. Aliquam erat volutpat. Fusce ut leo sed "

		if err != nil {
			errs = append(errs, fmt.Errorf("Unable to apply heal config: %w", err))
		} else {
			globalHealConfig.Update(healCfg)
		}
	case config.BatchSubSys:
		batchCfg, err := batch.LookupConfig(s[config.BatchSubSys][config.Default])
		if err != nil {
			errs = append(errs, fmt.Errorf("Unable to apply batch config: %w", err))
		} else {

*   Keras 3.0 will be the default Keras version. You may need to update your
    script to use Keras 3.0.

*   Please refer to the new Keras documentation for Keras 3.0
    (https://keras.io/keras_3).

*   To continue using Keras 2.0, do the following.

*   1.  Install tf-keras via pip install tf-keras~=2.16

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment

		for i := range errs {
			errs[i] = toStorageErr(err)
		}
		return errs
	}

	dErrResp := &DeleteVersionsErrsResp{}
	decoder := msgpNewReader(reader)
	defer readMsgpReaderPoolPut(decoder)
	if err = dErrResp.DecodeMsg(decoder); err != nil {
		for i := range errs {
			errs[i] = toStorageErr(err)
		}
		return errs
	}

	for i, dErr := range dErrResp.Errs {
		if dErr != "" {

		if err != nil {
			t.Fatal(err)
		}

		fileInfos, errs = readAllFileInfo(ctx, erasureDisks, "", bucket, object, "", false, true)
		if countErrs(errs, nil) != len(fileInfos) {
			t.Fatal("Expected all xl.meta healed, but partial heal detected")
		}

		fileInfos, errs = readAllFileInfo(ctx, erasureDisks, "", minioMetaBucket, cfgFile, "", false, true)

			}
			hr, err := hash.NewReaderWithOpts(ctx, bytes.NewReader(fanOutBuf), hopts)
			if err != nil {
				errs[idx] = err
				return
			}

			reader := NewPutObjReader(hr)
			defer func() {
				if err := reader.Close(); err != nil {
					errs[idx] = err
				}
				if err := hr.Close(); err != nil {
					errs[idx] = err
				}
			}()

			userDefined := make(map[string]string, len(req.UserMetadata))

	return g.Wait()
}

func isAllVolumeNotFound(errs []error) bool {
	return countErrs(errs, errVolumeNotFound) == len(errs)
}

// isAllNotFound will return if any element of the error slice is not
// errFileNotFound, errFileVersionNotFound or errVolumeNotFound.
// A 0 length slice will always return false.
func isAllNotFound(errs []error) bool {
	for _, err := range errs {
		if err != nil {
			switch err.Error() {

func (d *naughtyDisk) DeleteVersions(ctx context.Context, volume string, versions []FileInfoVersions, opts DeleteOptions) []error {
	if err := d.calcError(); err != nil {
		errs := make([]error, len(versions))
		for i := range errs {
			errs[i] = err
		}
		return errs
	}
	return d.disk.DeleteVersions(ctx, volume, versions, opts)
}

  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.
# This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.