XVMODV		X3, X2, X1	// 418ce374
	XVMODBU		X3, X2, X1	// 410ce674
	XVMODHU		X3, X2, X1	// 418ce674
	XVMODWU		X3, X2, X1	// 410ce774
	XVMODVU		X3, X2, X1	// 418ce774

	// [X]VF{SQRT/RECIP/RSQRT}{F/D} instructions
	VFSQRTF		V1, V2		// 22e49c72
	VFSQRTD		V1, V2		// 22e89c72
	VFRECIPF	V1, V2		// 22f49c72
	VFRECIPD	V1, V2		// 22f89c72
	VFRSQRTF	V1, V2		// 22049d72
	VFRSQRTD	V1, V2		// 22089d72

        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
        keepdims=True) # Author code uses std + 1e-5 return
        super().convolution_op(inputs, (kernel - mean) / tf.sqrt(var + 1e-10))`

        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "desc"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },

        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },

        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },

					Where:   settings["WHERE"],
					Comment: settings["COMMENT"],
					Option:  settings["OPTION"],
					Fields: []IndexOption{{
						Field:      field,
						Expression: settings["EXPRESSION"],
						Sort:       settings["SORT"],
						Collate:    settings["COLLATE"],
						Length:     length,
						Priority:   priority,
					}},
				})
			}
		}
	}

	err = nil
	return

	result.Friends = append(user.Friends, result.Friends...)

	sort.Slice(result.Pets, func(i, j int) bool {
		return result.Pets[i].ID < result.Pets[j].ID
	})
	sort.Slice(result.Team, func(i, j int) bool {
		return result.Team[i].ID < result.Team[j].ID
	})
	sort.Slice(result.Friends, func(i, j int) bool {
		return result.Friends[i].ID < result.Friends[j].ID
	})
	sort.Slice(result2.Pets, func(i, j int) bool {

            // Must return at least one project
            result.add(projectBuilds.get(0).getProject());
        }

        // Sort by critical path priority (projects with longer critical paths first)
        List<MavenProject> sortedResult = new ArrayList<>(result);
        sortedResult.sort(projectComparator.getComparator());
        return sortedResult;
    }

    /**

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"fmt"
	"os"
	"path"
	"path/filepath"
	"runtime"
	"sort"
	"testing"
)

// Test to check for different input arguments.
func TestReadDirFail(t *testing.T) {
	// Check non existent directory.
	if _, err := readDir("/tmp/non-existent-directory"); err != errFileNotFound {

                ProjectDependencyGraphStub.X,
                ProjectDependencyGraphStub.C,
                ProjectDependencyGraphStub.A,
                ProjectDependencyGraphStub.B);

        // Sort using the comparator
        projects.sort(comparator.getComparator());

        // Project A should come first (highest weight)
        assertEquals(
                ProjectDependencyGraphStub.A,
                projects.get(0),