You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: dlange.go
    path of file: ./repos/gonum/lapack/gonum
    
    the code of the file until where you have to start completion: // Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package gonum

import (
	"math"

	"gonum.org/v1/gonum/lapack"
)

// Dlange returns the value of the specified norm of a general m×n matrix A:
//
//	lapack.MaxAbs:       the maximum absolute value of any element.
//	lapack.MaxColumnSum: the maximum column sum of the absolute values of the elements (1-norm).
//	lapack.MaxRowSum:    the maximum row sum of the absolute values of the elements (infinity-norm).
//	lapack.Frobenius:    the squa
    
func (impl Implementation) Dlange(norm lapack.MatrixNorm, m, n int, a []float64, lda int, work []float64) float64 {
	// TODO(btracey): These should probably be refactored to use BLAS calls.
	switch {
	case norm != lapack.MaxRowSum && norm != lapack.MaxColumnSum && norm != lapack.Frobenius && norm != lapack.MaxAbs:
		panic(badNorm)
	case m < 0:
		panic(mLT0)
	case n < 0:
		panic(nLT0)
	case lda < max(1, n):
		panic(badLdA)
	}

	// Quick return if possible.
	if m == 0 || n == 0 {
		return 0
	}

	switch {
	case len(a) < (m-1)*lda+n:
		panic(badLdA)
	case norm == lapack.MaxColumnSum && len(work) < n:
		panic(shortWork)
	}

	switch norm {
	case lapack.MaxAbs:
		var value float64
		for i := 0; i < m; i++ {
			for j := 0; j < n; j++ {
				value = math.Max(value, math.Abs(a[i*lda+j]))
			}
		}
		return value
	case lapack.MaxColumnSum:
		for i := 0; i < n; i++ {
			work[i] = 0
		}
		for i := 0; i < m; i++ {
			for j := 0; j < n; j++ {
				work[j] += math.Abs(a[i*lda+j])
			}
		}
		var value float64
		for i := 0; i < n; i++ {
			value = math.Max(value, work[i])
		}
		return value
	case lapack.MaxRowSum:
		var value float64
		for i := 0; i < m; i++ {
			var sum float64
			for j := 0; j < n; j++ {
				sum += math.Abs(a[i*lda+j])
			}
			value = math.Max(value, sum)
		}
		return value
	default:
		// lapack.Frobenius
		scale := 0.0
		sum := 1.0
		for i := 0; i < m; i++ {
			scale, sum = impl.Dlassq(n, a[i*lda:], 1, scale, sum)
		}
		return scale * math.Sqrt(sum)
	}
}