}
		}

		// Save new formats `format.json` on unformatted disks.
		for index, format := range tmpNewFormats {
			if storageDisks[index] == nil || format == nil {
				continue
			}
			if err := saveFormatErasure(storageDisks[index], format, formatOpID); err != nil {
				healingLogIf(ctx, fmt.Errorf("Drive %s failed to write updated 'format.json': %v", storageDisks[index], err))

// Code generated by "stringer -type=format -trimprefix=format untar.go"; DO NOT EDIT.

package cmd

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[formatUnknown-0]
	_ = x[formatGzip-1]
	_ = x[formatZstd-2]
	_ = x[formatLZ4-3]
	_ = x[formatS2-4]
	_ = x[formatBZ2-5]
}

// parsing.
type Error struct {
	err error
}

// Errorf - formats according to a format specifier and returns
// the string as a value that satisfies error of type tagging.Error
func Errorf(format string, a ...interface{}) error {
	return Error{err: fmt.Errorf(format, a...)}
}

// Unwrap the internal error.
func (e Error) Unwrap() error { return e.err }

// parsing.
type Error struct {
	err error
}

// Errorf - formats according to a format specifier and returns
// the string as a value that satisfies error of type tagging.Error
func Errorf(format string, a ...interface{}) error {
	return Error{err: fmt.Errorf(format, a...)}
}

// Unwrap the internal error.
func (e Error) Unwrap() error { return e.err }

// parsing.
type Error struct {
	err error
}

// Errorf - formats according to a format specifier and returns
// the string as a value that satisfies error of type tagging.Error
func Errorf(format string, a ...interface{}) error {
	return Error{err: fmt.Errorf(format, a...)}
}

// Unwrap the internal error.
func (e Error) Unwrap() error { return e.err }

			wantFormat.mayBe(FormatUSTAR) // PAX implies USTAR allowed too
		}
		format.mayOnlyBe(wantFormat) // Set union of formats allowed and format wanted
	}
	if format == FormatUnknown {
		switch h.Format {
		case FormatUSTAR:
			err = headerError{"Format specifies USTAR", whyNoUSTAR, whyOnlyPAX, whyOnlyGNU}
		case FormatPAX:
			err = headerError{"Format specifies PAX", whyNoPAX, whyOnlyGNU}
		case FormatGNU:

				return nil, err
			}

			// Sparse formats rely on being able to read from the logical data
			// section; there must be a preceding call to handleRegularFile.
			if err := tr.handleSparseFile(hdr, rawHdr); err != nil {
				return nil, err
			}

			// Set the final guess at the format.
			if format.has(FormatUSTAR) && format.has(FormatPAX) {
				format.mayOnlyBe(FormatUSTAR)
			}
			hdr.Format = format

Harshavardhana <******@****.***> 1723130998 -0700

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

		}
		return sps
	}

	makeInput := func(format Format, size string, sps ...string) (out []byte) {
		// Write the initial GNU header.
		var blk block
		gnu := blk.toGNU()
		sparse := gnu.sparse()
		copy(gnu.realSize(), size)
		sps = populateSparseMap(sparse, sps)
		if format != FormatUnknown {
			blk.setFormat(format)
		}
		out = append(out, blk[:]...)