import java.util.TreeMap;
import javax.annotation.CheckForNull;

/**
 * Implementation of {@code Table} whose row keys and column keys are ordered by their natural
 * ordering or by supplied comparators. When constructing a {@code TreeBasedTable}, you may provide
 * comparators for the row keys and the column keys, or you may use natural ordering for both.
 *

	}

	hasLogID := false
	for _, column := range columns {
		if column.Name() == "log_id" {
			hasLogID = true
			autoIncrement, ok := column.AutoIncrement()
			if !ok || !autoIncrement {
				t.Fatalf("column log_id should be auto incrementment")
			}
		}
	}

	if !hasLogID {
		t.Fatalf("failed to found column log_id")
	}
}

type Post struct {

	_ "k8s.io/client-go/plugin/pkg/client/auth"

	"istio.io/istio/istioctl/cmd"
	"istio.io/istio/pkg/log"
)

func main() {
	if err := cmd.ConfigAndEnvProcessing(); err != nil {
		fmt.Fprintf(os.Stderr, "Could not initialize: %v\n", err)
		exitCode := cmd.GetExitCode(err)
		os.Exit(exitCode)
	}

	rootCmd := cmd.GetRootCmd(os.Args[1:])

	log.EnableKlogWithCobra()

	if err := rootCmd.Execute(); err != nil {

	}{Version: healthInfo.Version}

	enc := json.NewEncoder(gzWriter)
	if e := enc.Encode(header); e != nil {
		internalLogIf(ctx, fmt.Errorf("Could not encode health info header: %w", e))
		return nil
	}

	if e := enc.Encode(healthInfo); e != nil {
		internalLogIf(ctx, fmt.Errorf("Could not encode health info: %w", e))
		return nil
	}

	gzWriter.Flush()
	gzWriter.Close()

	return b.Bytes()

			expected: 8,
			errMsg:   nil,
			isValid:  true,
		},
		{
			version: versionInvalid1,
			errMsg:  fmt.Errorf("could not parse Malformed version: %v", versionInvalid1.GitVersion),
			isValid: false,
		},
		{
			version: versionInvalid2,
			errMsg:  fmt.Errorf("could not parse Malformed version: %v", versionInvalid2.GitVersion),
			isValid: false,
		},
	}
	for i, c := range cases {

				if _, ok := db.Statement.Clauses["RETURNING"]; !ok {
					fromColumns := make([]clause.Column, 0, len(db.Statement.Schema.FieldsWithDefaultDBValue))
					for _, field := range db.Statement.Schema.FieldsWithDefaultDBValue {
						fromColumns = append(fromColumns, clause.Column{Name: field.DBName})
					}
					db.Statement.AddClause(clause.Returning{Columns: fromColumns})
				}
			}
		}

		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},
		},
	}

 * <p>The definition of the kth q-quantile of N values is as follows: define x = k * (N - 1) / q; if
 * x is an integer, the result is the value which would appear at index x in the sorted dataset
 * (unless there are {@link Double#NaN NaN} values, see below); otherwise, the result is the average
 * of the values which would appear at the indexes floor(x) and ceil(x) weighted by (1-frac(x)) and

</blockquote>

## Investigation

By using all the previous alternatives I had the chance to learn from all of them, take ideas, and combine them in the best way I could find for myself and the teams of developers I have worked with.

For example, it was clear that ideally it should be based on standard Python type hints.

Also, the best approach was to use already existing standards.

    private final CoreExtension extension;

    public ExtensionResolutionException(CoreExtension extension, Throwable cause) {
        super(
                "Extension " + extension.getId() + " or one of its dependencies could not be resolved: "
                        + cause.getMessage(),
                cause);
        this.extension = extension;
    }

    public CoreExtension getExtension() {
        return extension;
    }