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 {

		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)

		// because of bugs found in CopyObject/PutObjectTags) https://github.com/minio/minio/pull/10772
		erasureDistributionReliable = false
	}

	metaErrs := make([]error, len(errs))

	for i, onlineDisk := range onlineDisks {
		if errs[i] != nil {
			metaErrs[i] = errs[i]
			continue
		}
		if onlineDisk == OfflineDisk {
			metaErrs[i] = errDiskNotFound
			continue
		}

		meta := partsMetadata[i]

*   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 != "" {

  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$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.

	writers     []io.Writer
	writeQuorum int
	errs        []error
}

// Write writes data to writers.
func (p *multiWriter) Write(ctx context.Context, blocks [][]byte) error {
	for i := range p.writers {
		if p.errs[i] != nil {
			continue
		}
		if p.writers[i] == nil {
			p.errs[i] = errDiskNotFound
			continue
		}
		var n int
		n, p.errs[i] = p.writers[i].Write(blocks[i])
		if p.errs[i] == nil {

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)
}

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   jax
    #   keras-nightly
namex==0.0.8 \
    --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
    --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
    # via keras-nightly
numpy==1.26.4 \
    --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   jax
    #   keras-nightly
namex==0.0.8 \
    --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
    --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
    # via keras-nightly
numpy==1.26.4 \
    --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \