"fmt"
	"runtime"
	"strconv"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/pkg/v3/env"
)

// healTask represents what to heal along with options
//
//	path: '/' =>  Heal disk formats along with metadata
//	path: 'bucket/' or '/bucket/' => Heal bucket
//	path: 'bucket/object' => Heal object
type healTask struct {
	bucket    string
	object    string
	versionID string
	opts      madmin.HealOpts

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[:]...)

            "file with spaces.txt", "file*with?wildcards.txt", "../relative/path/file.txt", "C:\\absolute\\path\\file.txt" })
    void testFilenameHandling(String filename) {
        // Test various filename formats
        trans2FindNext2 = new Trans2FindNext2(config, TEST_SID, TEST_RESUME_KEY, filename, TEST_BATCH_COUNT, TEST_BATCH_SIZE);

        byte[] buffer = new byte[1024];

        assertEquals(4, bytesWritten);
        assertEquals(SmbComTransaction.TRANS_WAIT_NAMED_PIPE, dst[0]);
    }

    @Test
    @DisplayName("Test with various pipe name formats")
    void testVariousPipeNameFormats() {
        // Test various pipe name formats
        String[] pipeNames =
                { "\\\\server\\PIPE\\testpipe", "\\PIPE\\LANMAN", "\\PIPE\\srvsvc", "\\PIPE\\wkssvc", "PIPE\\test", "testpipe" };

imagePullSecrets:
    {{ toYaml .Values.imagePullSecrets }}
{{- end -}}
{{- else if .Values.imagePullSecrets }}
imagePullSecrets:
    {{ toYaml .Values.imagePullSecrets }}
{{- end -}}
{{- end -}}

{{/*
Formats volumeMount for MinIO TLS keys and trusted certs
*/}}
{{- define "minio.tlsKeysVolumeMount" -}}
{{- if .Values.tls.enabled }}
- name: cert-secret-volume
  mountPath: {{ .Values.certsPath }}
{{- end }}

You can use the Select API to query objects with following features:

- Objects must be in CSV, JSON, or Parquet(*) format.
- UTF-8 is the only encoding type the Select API supports.

   * Adobe Photoshop Document Format</a> and <a
   * href="http://en.wikipedia.org/wiki/Adobe_Photoshop#File_format">Wikipedia</a>; this is the
   * regular output/input of Photoshop (which can also export to various image formats; note that
   * files with extension "PSB" are in a distinct but related format).
   *

 * </tr>
 * <tr>
 * <td rowspan="4">Standard formats of {@link DateFormat}</td>
 * <td>{@link DateFormat#SHORT} format</td>
 * <td>{@literal yy/MM/dd H:mm}</td>
 * </tr>
 * <tr>
 * <td>{@link DateFormat#MEDIUM} format</td>
 * <td>{@literal yyyy/MM/dd H:mm:ss}</td>
 * </tr>
 * <tr>
 * <td>{@link DateFormat#LONG} format</td>
 * <td>{@literal yyyy/MM/dd H:mm:ss z}</td>
 * </tr>
 * <tr>

	if !parsedInput.CSVArgs.IsEmpty() {
		parsedInput.format = csvFormat
		found++
	}
	if !parsedInput.JSONArgs.IsEmpty() {
		parsedInput.format = jsonFormat
		found++
	}
	if !parsedInput.ParquetArgs.IsEmpty() {
		if parsedInput.CompressionType != "" && parsedInput.CompressionType != noneType {
			return errInvalidRequestParameter(fmt.Errorf("CompressionType must be NONE for Parquet format"))
		}