- name: preference
          in: query
          description: String to specify a shard for searching
          required: false
          schema:
            type: string
            example: abc
        - name: callback
          in: query
          description: Callback name for using JSONP
          required: false
          schema:
            type: string
      responses:
        '200':

                unfiltered.add("yyy");
                unfiltered.addAll(ImmutableList.copyOf(elements));
                unfiltered.add("zzz");
                unfiltered.add("abc");
                return Collections2.filter(Collections2.filter(unfiltered, LENGTH_1), NOT_YYY_ZZZ);
              }
            })
        .named("Collections2.filter, filtered input")
        .withFeatures(

				{Name: "newPrefix1"},
				{Name: "newzen/zen/recurse/again/again/again/pics"},
				{Name: "obj0"},
				{Name: "obj1"},
				{Name: "obj2"},
			},
		},
		// ListObjectsResult-14.
		// Marker is set to "Abc" in the testCase, (testCase 39).
		14: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "Asia-maps.png"},
				{Name: "Asia/India/India-summer-photos-1"},

                unfiltered.add("yyy");
                unfiltered.addAll(ImmutableList.copyOf(elements));
                unfiltered.add("zzz");
                unfiltered.add("abc");
                return Collections2.filter(Collections2.filter(unfiltered, LENGTH_1), NOT_YYY_ZZZ);
              }
            })
        .named("Collections2.filter, filtered input")
        .withFeatures(

	return "minio_" + s
}

// isDescendantOf returns true if it is a descendant of (or the same as)
// `ancestor`.
//
// For example:
//
//	 	/a, /a/b, /a/b/c are all descendants of /a.
//		/abc or /abd/a are not descendants of /ab.
func (cp collectorPath) isDescendantOf(arg string) bool {
	descendant := string(cp)
	if descendant == arg {
		return true
	}
	if len(arg) >= len(descendant) {
		return false
	}

  // when updating cluster with non-exsitent worker
  tensorflow::setenv("GRPC_FAIL_FAST", "TRUE", /*overwrite=*/1);

  const string first_name =
      keep_localhost_for_first_connect ? "localhost" : "abc";
  tensorflow::ServerDef server_def = GetServerDef(first_name, 1);

  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();

			expectedCredentials: credentialHeader{},
			expectedErrCode:     ErrMissingCredTag,
		},
		// Test Case - 3.
		// Test case with malformed credentials.
		{
			inputCredentialStr:  "Credential=abc",
			expectedCredentials: credentialHeader{},
			expectedErrCode:     ErrCredMalformed,
		},
		// Test Case - 4.
		// Test case with AccessKey of length 2.
		{
			inputCredentialStr: generateCredentialStr(

                unfiltered.add("yyy");
                unfiltered.addAll(ImmutableList.copyOf(elements));
                unfiltered.add("zzz");
                unfiltered.add("abc");
                return Sets.filter(
                    Sets.filter(unfiltered, Collections2Test.LENGTH_1),
                    Collections2Test.NOT_YYY_ZZZ);
              }
            })

		},
		// Test case - 5.
		// Invalid upload id and marker combination.
		{
			bucket:             bucketName,
			prefix:             "asia",
			keyMarker:          "asia/europe/",
			uploadIDMarker:     "abc",
			delimiter:          "",
			maxUploads:         "0",
			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusNotImplemented,

	if DB.Dialector.Name() != "mysql" {
		t.Skip()
	}

	type MyTable struct {
		Def string `gorm:"size:512;index:idx_def,unique"`
		Abc string `gorm:"size:65000000"`
	}

	DB.Migrator().DropTable("my_tables")

	sql := "CREATE TABLE `my_tables` (`def` varchar(512),`abc` longtext,UNIQUE INDEX `idx_def` (`def`))"
	if err := DB.Exec(sql).Error; err != nil {
		t.Errorf("Failed, got error: %v", err)
	}