} {
		if values, ok := cloneHeader[objLock]; ok {
			args[strings.TrimPrefix(objLock, "X-Amz-")] = values
		}
		cloneHeader.Del(objLock)
	}

	for key, values := range cloneHeader {
		if strings.EqualFold(key, xhttp.AmzObjectTagging) {
			continue
		}
		if existingValues, found := args[key]; found {
			args[key] = append(existingValues, values...)
		} else {
			args[key] = values

  }

  /**
   * Adds the given statistics to the dataset, as if the individual values used to compute the
   * statistics had been added directly.
   *
   * @since 28.2
   */
  public void addAll(StatsAccumulator values) {
    if (values.count() == 0) {
      return;
    }

   *
   * @param values a series of values
   */
  public static Stats of(double... values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values
   */

*/}}
{{- if .Values.global }}
{{- if .Values.global.imagePullSecrets }}
imagePullSecrets:
{{- range .Values.global.imagePullSecrets }}
  - name: {{ . }}
{{- end }}
{{- else if .Values.imagePullSecrets }}
imagePullSecrets:
    {{ toYaml .Values.imagePullSecrets }}
{{- end -}}
{{- else if .Values.imagePullSecrets }}
imagePullSecrets:

		ReflectValue: reflect.ValueOf(dest),
		Dest:         dest,
	}

	stmt.Schema = s

	values := ConvertToCreateValues(stmt)
	expected := clause.Values{
		// column has value + defaultValue column has value (which should have a stable order)
		Columns: []clause.Column{{Name: "name"}, {Name: "email"}, {Name: "age"}, {Name: "id"}},
		Values: [][]interface{}{
			{"alice", "email", 18, 1},
			{"bob", "email", 19, 2},
		},
	}

TF_Tensor* BoolTensor(int32_t v);

// Create a tensor with values of type TF_INT8 provided by `values`.
TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values);

// Create a tensor with values of type TF_INT32 provided by `values`.
TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
                       const int32_t* values);

// Create 1 dimensional tensor with values from `values`

    List<V> values = asList(v0(), null, v3());
    multimap().replaceValues(k0(), values);
    assertGet(k0(), values);
  }

  @MapFeature.Require({SUPPORTS_PUT, SUPPORTS_REMOVE, ALLOWS_NULL_KEYS})
  public void testReplaceValuesWithNullKey() {
    List<V> values = asList(v0(), v2(), v3());
    multimap().replaceValues(null, values);
    assertGet(null, values);
  }

   *   <li>all the values with indexes in the range [0, {@code from}) should be less than or equal
   *       to all the values with indexes in the range [{@code from}, {@code to}];
   *   <li>all the values with indexes in the range ({@code to}, {@code array.length - 1}] should be
   *       greater than or equal to all the values with indexes in the range [{@code from}, {@code
   *       to}].

spec:
  accessModes:
    - {{ .Values.persistence.accessMode | quote }}
  resources:
    requests:
      storage: {{ .Values.persistence.size | quote }}
  {{- if .Values.persistence.storageClass }}
  {{- if (eq "-" .Values.persistence.storageClass) }}
  storageClassName: ""
  {{- else }}
  storageClassName: "{{ .Values.persistence.storageClass }}"
  {{- end }}
  {{- end }}
  {{- if .Values.persistence.volumeName }}

					names[j] = names[j][0:len(names[j])-1] + sep + names[i]
					names[i] = ""
				} else {
					break
				}
			}
		}

		values := strings.Split(names[j], ":")
		k := strings.TrimSpace(strings.ToUpper(values[0]))

		if len(values) >= 2 {
			settings[k] = strings.Join(values[1:], ":")
		} else if k != "" {
			settings[k] = k
		}
	}

	return settings
}

func toColumns(val string) (results []string) {