Chef received a permutation $P_1, P_2, \ldots, P_N$ and also an integer $D$ from his good friend Grux, because Grux was afraid he would forget them somewhere. However, since Grux was just playing with the permutation, it was all shuffled, and Chef only likes sorted permutations, so he decided to sort it by performing some swaps.
Chef wants to use the integer $D$ he just received, so he is only willing to swap two elements of the permutation whenever their absolute difference is exactly $D$. He has limited time, so you should determine the minimum number of swaps he needs to perform to sort the permutation, or tell him that it is impossible to sort it his way.

-----Input-----
- The first line of the input contains a single integer $T$ denoting the number of test cases. The description of $T$ test cases follows.
- The first line of each test case contains two space-separated integers $N$ and $D$.
- The second line contains $N$ space-separated integers $P_1, P_2, \ldots, P_N$.

-----Output-----
For each test case, print a single line containing one integer ― the minimum number of swaps, or $-1$ if it is impossible to sort the permutation.

-----Constraints-----
- $1 \le T \le 20$
- $1 \le N \le 200,000$
- $1 \le D \le N$
- $1 \le P_i \le N$ for each valid $i$
- $P_1, P_2, \ldots, P_N$ are pairwise distinct
- the sum of $N$ over all test cases does not exceed $10^6$

-----Subtasks-----
Subtask #1 (20 points): $D = 1$
Subtask #2 (30 points):
- $N \le 1,000$
- the sum of $N$ over all test cases does not exceed $10,000$
Subtask #3 (50 points): original constraints

-----Example Input-----
2
5 2   
3 4 5 2 1
5 2    
4 3 2 1 5  

-----Example Output-----
3
-1

-----Explanation-----
Example case 1: Chef can perform the following swaps in this order:
- swap the first and fifth element
- swap the third and fifth element
- swap the second and fourth element

Starter code:

Solutions:
import sys
sys.setrecursionlimit(10000000)
def mergeSortInversions(arr):
  if len(arr) == 1:
    return arr, 0
  larr=len(arr)
  a = arr[:larr//2]
  b = arr[larr//2:]
  a, ai = mergeSortInversions(a)
  b, bi = mergeSortInversions(b)
  c = []
  i = 0
  j = 0
  inversions = 0 + ai + bi
  la=len(a)
  while i < la and j < len(b):
    if a[i] <= b[j]:
      c.append(a[i])
      i += 1
    else:
      c.append(b[j])
      j += 1
      inversions += (la-i)
  c += a[i:]
  c += b[j:]
  return c, inversions 
for _ in range(int(input())):
  n,d=list(map(int,input().split()))
  p=[int(o) for o in input().split()]
  array=[[] for i in range(d)]
  flag=0
  for i in range(n):
    array[i%d].append(p[i])
    if p[i]%((i%d)+1)!=0:
      flag=1
  
 
  ans=0
  dumarr=[0]*n
  for i in range(d):
    array[i],v=mergeSortInversions(array[i])
    for j in range(len(array[i])):
      dumarr[i+j*d]=array[i][j]
    ans+=v
  p=sorted(p)
  # print(dumarr)
  if dumarr==p:
    print(ans)
  else:
    print(-1)


import sys
sys.setrecursionlimit(10000000)
def mergeSortInversions(arr):
  if len(arr) == 1:
    return arr, 0
  larr=len(arr)
  a = arr[:larr//2]
  b = arr[larr//2:]
  a, ai = mergeSortInversions(a)
  b, bi = mergeSortInversions(b)
  c = []
  i = 0
  j = 0
  inversions = 0 + ai + bi
  la=len(a)
  while i < la and j < len(b):
    if a[i] <= b[j]:
      c.append(a[i])
      i += 1
    else:
      c.append(b[j])
      j += 1
      inversions += (la-i)
  c += a[i:]
  c += b[j:]
  return c, inversions 
for _ in range(int(input())):
  n,d=list(map(int,input().split()))
  p=[int(o) for o in input().split()]
  array=[[] for i in range(d)]
  flag=0
  for i in range(n):
    array[i%d].append(p[i])
    if p[i]%((i%d)+1)!=0:
      flag=1
  
 
  ans=0
  dumarr=[0]*n
  for i in range(d):
    array[i],v=mergeSortInversions(array[i])
    for j in range(len(array[i])):
      dumarr[i+j*d]=array[i][j]
    ans+=v
  p=sorted(p)
  # print(dumarr)
  if dumarr==p:
    print(ans)
  else:
    print(-1)


# cook your dish here
def mergeSort(arr, n):
 temp_arr = [0] * n
 return _mergeSort(arr, temp_arr, 0, n - 1)


def _mergeSort(arr, temp_arr, left, right):
 inv_count = 0

 if left < right:
  mid = (left + right) // 2

  inv_count += _mergeSort(arr, temp_arr, left, mid)

  inv_count += _mergeSort(arr, temp_arr, mid + 1, right)

  inv_count += merge(arr, temp_arr, left, mid, right)
 return inv_count


def merge(arr, temp_arr, left, mid, right):
 i = left
 j = mid + 1
 k = left
 inv_count = 0

 while i <= mid and j <= right:

  if arr[i] <= arr[j]:
   temp_arr[k] = arr[i]
   k += 1
   i += 1
  else:

   temp_arr[k] = arr[j]
   inv_count += (mid - i + 1)
   k += 1
   j += 1

 while i <= mid:
  temp_arr[k] = arr[i]
  k += 1
  i += 1

 while j <= right:
  temp_arr[k] = arr[j]
  k += 1
  j += 1

 for loop_var in range(left, right + 1):
  arr[loop_var] = temp_arr[loop_var]

 return inv_count


t=int(input())
for _ in range(0,t):
 n,D=list([int(x) for x in input().split()])
 p=list([int(x) for x in input().split()])
 q=[0]*len(p)
 for i in range(n):
  q[p[i]-1]=i
 sublists=[]
 
 for i in range(0,D):
  sublist=[]
  for j in range(i,len(p),D):
   sublist.append(q[j])
  sublists.append(sublist)
 
 
 flag=0
 
 for i in range(0,D):
  temp_sublist=sorted(sublists[i])
  for j in range(0,len(sublists[i])):
   if i+j*D!=temp_sublist[j]:
    print(-1)
    flag=1
    break
  if flag==1:
   break
 if flag==0:
  total=sum([mergeSort(sublist,len(sublist)) for sublist in sublists ])
  print(total)


import sys
sys.setrecursionlimit(10000000)
def mergeSortInversions(arr):
  if len(arr) == 1:
    return arr, 0
  larr=len(arr)
  a = arr[:larr//2]
  b = arr[larr//2:]
  a, ai = mergeSortInversions(a)
  b, bi = mergeSortInversions(b)
  c = []
  i = 0
  j = 0
  inversions = 0 + ai + bi
  la=len(a)
  while i < la and j < len(b):
    if a[i] <= b[j]:
      c.append(a[i])
      i += 1
    else:
      c.append(b[j])
      j += 1
      inversions += (la-i)
  c += a[i:]
  c += b[j:]
  return c, inversions 
for _ in range(int(input())):
  n,d=list(map(int,input().split()))
  p=[int(o) for o in input().split()]
  array=[[] for i in range(d)]
  flag=0
  for i in range(n):
    array[i%d].append(p[i])
    if p[i]%((i%d)+1)!=0:
      flag=1
  ans=0
  dumarr=[0]*n
  for i in range(d):
    array[i],v=mergeSortInversions(array[i])
    for j in range(len(array[i])):
      dumarr[i+j*d]=array[i][j]
    ans+=v
  p=sorted(p)
  if dumarr==p:
    print(ans)
  else:
    print(-1)


import sys
sys.setrecursionlimit(10000000)
def mergeSortInversions(arr):
  if len(arr) == 1:return arr, 0
  larr=len(arr)
  a,b = arr[:larr//2],arr[larr//2:] 
  a, ai = mergeSortInversions(a)
  b, bi = mergeSortInversions(b)
  c,i,j = [],0,0
  inversions = 0 + ai + bi
  la=len(a)
  while i < la and j < len(b):
    if a[i] <= b[j]:
      c.append(a[i])
      i += 1
    else:
      c.append(b[j])
      j ,inversions = j+1,inversions + (la-i)
  c += (a[i:]+b[j:])
  return c, inversions 
for _ in range(int(input())):
  n,d=map(int,input().split())
  p=[int(o) for o in input().split()]
  array,flag,ans,dumarr = [[] for i in range(d)],0,0,[0]*n
  for i in range(n):
    array[i%d].append(p[i])
    if p[i]%((i%d)+1)!=0:flag=1
  for i in range(d):
    array[i],v=mergeSortInversions(array[i])
    for j in range(len(array[i])):dumarr[i+j*d]=array[i][j]
    ans+=v
  print(ans) if dumarr==sorted(p) else print(-1)


def getSum( BITree, index): 
 sum = 0 
 while (index > 0): 
  sum += BITree[index] 
  index -= index & (-index) 
 return sum
def updateBIT(BITree, n, index, val): 
 while (index <= n): 
  BITree[index] += val 
  index += index & (-index) 
def getInvCount(arr, n): 
 invcount = 0 
 maxElement = max(arr) 
 BIT = [0] * (maxElement + 1) 
 for i in range(1, maxElement + 1): 
  BIT[i] = 0
 for i in range(n - 1, -1, -1): 
  invcount += getSum(BIT, arr[i] - 1) 
  updateBIT(BIT, maxElement, arr[i], 1) 
 return invcount 
import sys
input=sys.stdin.readline 
for _ in range(int(input())):
 n,k=map(int,input().split())
 l=[int(i) for i in input().split()]
 f=1 
 sm=0
 for x in range(k):
  mat=[]
  li=[]
  le=0 
  c={}
  for y in range(x,n,k):
   mat.append(l[y])
   li.append(y+1)
   le+=1 
   c[l[y]]=1 
  for y in range(x,n,k):
   if c.get(y+1,-1)==-1:
    f=0 
    break 
  else:
   sm+=getInvCount(mat,le)
 if f==0:
  print(-1)
 else: 
  print(sm)

# Python3 program to count inversions using 
# Binary Indexed Tree 

# Returns sum of arr[0..index]. This function 
# assumes that the array is preprocessed and 
# partial sums of array elements are stored 
# in BITree[]. 
def getSum( BITree, index): 
 sum = 0 # Initialize result 
 
 # Traverse ancestors of BITree[index] 
 while (index > 0): 

  # Add current element of BITree to sum 
  sum += BITree[index] 

  # Move index to parent node in getSum View 
  index -= index & (-index) 

 return sum

# Updates a node in Binary Index Tree (BITree) 
# at given index in BITree. The given value 
# 'val' is added to BITree[i] and all of its 
# ancestors in tree. 
def updateBIT(BITree, n, index, val): 

 # Traverse all ancestors and add 'val' 
 while (index <= n): 

  # Add 'val' to current node of BI Tree 
  BITree[index] += val 

  # Update index to that of parent 
  # in update View 
  index += index & (-index) 

# Returns count of inversions of size three 
def getInvCount(arr, n): 

 invcount = 0 # Initialize result 

 # Find maximum element in arrays 
 maxElement = max(arr) 

 # Create a BIT with size equal to 
 # maxElement+1 (Extra one is used 
 # so that elements can be directly 
 # be used as index) 
 BIT = [0] * (maxElement + 1) 
 for i in range(1, maxElement + 1): 
  BIT[i] = 0
 for i in range(n - 1, -1, -1): 

  invcount += getSum(BIT, arr[i] - 1) 
  updateBIT(BIT, maxElement, arr[i], 1) 
 return invcount 
 

 
# This code is contributed by 
# Shubham Singh(SHUBHAMSINGH10) 

for _ in range(int(input())):
 n,k=map(int,input().split())
 l=[int(i) for i in input().split()]
 if k==1:
  print(getInvCount(l,n))
  continue 
 mat=l[:]
 f=1 
 sm=0
 from collections import Counter
 for x in range(k):
  mat=[]
  li=[]
  le=0 
  for y in range(x,n,k):
   mat.append(l[y])
   li.append(y+1)
   le+=1 
  # print(mat,li)
  if Counter(mat)!=Counter(li):
   f=0
   break 
  else:
   sm+=getInvCount(mat,len(mat))
    
 if f==0:
  print(-1)
 else: 
  print(sm)

# Python3 program to count inversions using 
# Binary Indexed Tree 

# Returns sum of arr[0..index]. This function 
# assumes that the array is preprocessed and 
# partial sums of array elements are stored 
# in BITree[]. 
def getSum( BITree, index): 
 sum = 0 # Initialize result 
 
 # Traverse ancestors of BITree[index] 
 while (index > 0): 

  # Add current element of BITree to sum 
  sum += BITree[index] 

  # Move index to parent node in getSum View 
  index -= index & (-index) 

 return sum

# Updates a node in Binary Index Tree (BITree) 
# at given index in BITree. The given value 
# 'val' is added to BITree[i] and all of its 
# ancestors in tree. 
def updateBIT(BITree, n, index, val): 

 # Traverse all ancestors and add 'val' 
 while (index <= n): 

  # Add 'val' to current node of BI Tree 
  BITree[index] += val 

  # Update index to that of parent 
  # in update View 
  index += index & (-index) 

# Returns count of inversions of size three 
def getInvCount(arr, n): 

 invcount = 0 # Initialize result 

 # Find maximum element in arrays 
 maxElement = max(arr) 

 # Create a BIT with size equal to 
 # maxElement+1 (Extra one is used 
 # so that elements can be directly 
 # be used as index) 
 BIT = [0] * (maxElement + 1) 
 for i in range(1, maxElement + 1): 
  BIT[i] = 0
 for i in range(n - 1, -1, -1): 

  invcount += getSum(BIT, arr[i] - 1) 
  updateBIT(BIT, maxElement, arr[i], 1) 
 return invcount 
 

 
# This code is contributed by 
# Shubham Singh(SHUBHAMSINGH10) 

for _ in range(int(input())):
 n,k=map(int,input().split())
 l=[int(i) for i in input().split()]
 if k==1:
  print(getInvCount(l,n))
  continue 
 mat=l[:]
 f=1 
 sm=0
 from collections import Counter
 for x in range(k):
  mat=[]
  li=[]
  le=0 
  for y in range(x,n,k):
   mat.append(l[y])
   li.append(y+1)
   le+=1 
  # print(mat,li)
  if Counter(mat)!=Counter(li):
   f=0
   break 
  else:
   li=[]
   le=len(mat)
   for i in range(le):
    curr=[mat[i],i]
    li.append(curr)
   li.sort() 
   vis=[0]*le 
   for i in range(le):
    if vis[i] or li[i][1]==i:
     continue 
    c=0 
    j=i 
    while not vis[j]:
     vis[j]=1 
     j=li[j][1]
     c+=1 
    if c:
     sm+=(c-1)
    
 if f==0:
  print(-1)
 else: 
  print(sm)

import sys
sys.setrecursionlimit(10000000)
def mergeSortInversions(arr):
  if len(arr) == 1:
    return arr, 0
  larr=len(arr)
  a = arr[:larr//2]
  b = arr[larr//2:]
  a, ai = mergeSortInversions(a)
  b, bi = mergeSortInversions(b)
  c = []
  i = 0
  j = 0
  inversions = 0 + ai + bi
  la=len(a)
  while i < la and j < len(b):
    if a[i] <= b[j]:
      c.append(a[i])
      i += 1
    else:
      c.append(b[j])
      j += 1
      inversions += (la-i)
  c += a[i:]
  c += b[j:]
  return c, inversions 
for _ in range(int(input())):
  n,d=list(map(int,input().split()))
  p=[int(o) for o in input().split()]
  array=[[] for i in range(d)]
  flag=0
  for i in range(n):
    array[i%d].append(p[i])
    if p[i]%((i%d)+1)!=0:
      flag=1
  
 
  ans=0
  dumarr=[0]*n
  for i in range(d):
    array[i],v=mergeSortInversions(array[i])
    for j in range(len(array[i])):
      dumarr[i+j*d]=array[i][j]
    ans+=v
  p=sorted(p)
  # print(dumarr)
  if dumarr==p:
    print(ans)
  else:
    print(-1)


import sys
sys.setrecursionlimit(10000000)
def mergeSortInversions(arr):
  if len(arr) == 1:
    return arr, 0
  larr=len(arr)
  a = arr[:larr//2]
  b = arr[larr//2:]
  a, ai = mergeSortInversions(a)
  b, bi = mergeSortInversions(b)
  c = []
  i = 0
  j = 0
  inversions = 0 + ai + bi
  la=len(a)
  while i < la and j < len(b):
    if a[i] <= b[j]:
      c.append(a[i])
      i += 1
    else:
      c.append(b[j])
      j += 1
      inversions += (la-i)
  c += a[i:]
  c += b[j:]
  return c, inversions 
for _ in range(int(input())):
  n,d=list(map(int,input().split()))
  p=[int(o) for o in input().split()]
  array=[[] for i in range(d)]
  flag=0
  for i in range(n):
    array[i%d].append(p[i])
    if p[i]%((i%d)+1)!=0:
      flag=1
  # print(array)
  if flag==1:
    print("-1")
  else:
    ans=0
    for i in range(d):
      #  print(array[i])
      g,v=mergeSortInversions(array[i])
      #  print(array[i],v)
      ans+=v
    print(ans)


def merge(arr,start,mid,end):
 p=start
 q=mid+1
 k=0
 inv = 0
 temp=[0]*len(arr)
 for i in range(start,end+1):
  if p>mid :
   temp[k]=arr[q]
   k+=1
   q+=1
  elif q>end:
   temp[k]=arr[p]
   k+=1
   p+=1
  elif arr[p]<=arr[q]:
   temp[k]=arr[p]
   p+=1
   k+=1
  else:
   temp[k]=arr[q]
   q+=1
   k+=1
   inv += (mid-p+1)
 for i in range(k):
  arr[start]=temp[i]
  start+=1
 
 return inv

def mergesort(arr,start,end):
 inv_count=0 
 if start<end:
  mid=(start+end)//2
  inv_count += mergesort(arr,start,mid)
  inv_count += mergesort(arr,mid+1,end)
  inv_count += merge(arr,start,mid,end)
 return inv_count


def solve():
 n,d = map(int, input().split())
 p = list(map(int, input().split()))
 
 inv_count = 0
 m=[0]*n
 sb = True #sortable
 for i in range(d):
  k=0
  for j in range(i,n,d):
   m[k]=p[j]
   k+=1
  inv_count += mergesort(m,0,k-1)
  
  k=0
  for j in range(i,n,d):
   if not(m[k] == (j+1)):
    sb=False
    break
   k+=1
  
 if sb:
  print(inv_count)
 else:
  print(-1)

def main():
 for _ in range(int(input())):
  solve()

main()

# cook your dish here
# Python 3 program to count inversions in an array 
# Function to Use Inversion Count 
def mergeSort(arr, n): 
 # A temp_arr is created to store 
 # sorted array in merge function 
 temp_arr = [0]*n 
 return _mergeSort(arr, temp_arr, 0, n-1) 

# This Function will use MergeSort to count inversions 

def _mergeSort(arr, temp_arr, left, right): 

 # A variable inv_count is used to store 
 # inversion counts in each recursive call 

 inv_count = 0

 # We will make a recursive call if and only if 
 # we have more than one elements 

 if left < right: 

  # mid is calculated to divide the array into two subarrays 
  # Floor division is must in case of python 

  mid = (left + right)//2

  # It will calculate inversion counts in the left subarray 

  inv_count = _mergeSort(arr, temp_arr, left, mid) 

  # It will calculate inversion counts in right subarray 

  inv_count += _mergeSort(arr, temp_arr, mid + 1, right) 

  # It will merge two subarrays in a sorted subarray 

  inv_count += merge(arr, temp_arr, left, mid, right) 
 return inv_count 

# This function will merge two subarrays in a single sorted subarray 
def merge(arr, temp_arr, left, mid, right): 
 i = left # Starting index of left subarray 
 j = mid + 1 # Starting index of right subarray 
 k = left # Starting index of to be sorted subarray 
 inv_count = 0

 # Conditions are checked to make sure that i and j don't exceed their 
 # subarray limits. 

 while i <= mid and j <= right: 

  # There will be no inversion if arr[i] <= arr[j] 

  if arr[i] <= arr[j]: 
   temp_arr[k] = arr[i] 
   k += 1
   i += 1
  else: 
   # Inversion will occur. 
   temp_arr[k] = arr[j] 
   inv_count += (mid-i + 1) 
   k += 1
   j += 1

 # Copy the remaining elements of left subarray into temporary array 
 while i <= mid: 
  temp_arr[k] = arr[i] 
  k += 1
  i += 1

 # Copy the remaining elements of right subarray into temporary array 
 while j <= right: 
  temp_arr[k] = arr[j] 
  k += 1
  j += 1

 # Copy the sorted subarray into Original array 
 for loop_var in range(left, right + 1): 
  arr[loop_var] = temp_arr[loop_var] 
  
 return inv_count 

'''
def merge(arr,start,mid,end):
    p=start
    q=mid+1
    k=0
    inv = 0
    temp=[0]*len(arr)
    for i in range(start,end+1):
     if p>mid :
      temp[k]=arr[q]
      k+=1
      q+=1
     elif q>end:
      temp[k]=arr[p]
      k+=1
      p+=1
     elif arr[p]<=arr[q]:
      temp[k]=arr[p]
      p+=1
      k+=1
     else:
      temp[k]=arr[q]
      q+=1
      k+=1
      inv += (mid-p+1)
    for i in range(k):
     arr[start]=temp[i]
     start+=1
 
    return inv

def mergesort(arr,start,end):
    inv_count=0 
    if start<end:
     mid=(start+end)//2
     inv_count += mergesort(arr,start,mid)
     inv_count += mergesort(arr,mid+1,end)
     inv_count += merge(arr,start,mid,end)
    return inv_count

'''
def solve():
 n,d = map(int, input().split())
 p = list(map(int, input().split()))
 
 inv_count = 0
 m={}
 sb = True #sortable
 for i in range(d):
  k=0
  for j in range(i,n,d):
   m[k]=p[j]
   k+=1
  inv_count += mergeSort(m,k)
  
  k=0
  for j in range(i,n,d):
   if not(m[k] == (j+1)):
    sb=False
    break
   k+=1
  
 if sb:
  print(inv_count)
 else:
  print(-1)

def main():
 for _ in range(int(input())):
  solve()

main()

# cook your dish here
# Python 3 program to count inversions in an array 
# Function to Use Inversion Count 
def mergeSort(arr, n): 
 # A temp_arr is created to store 
 # sorted array in merge function 
 temp_arr = [0]*n 
 return _mergeSort(arr, temp_arr, 0, n-1) 

# This Function will use MergeSort to count inversions 

def _mergeSort(arr, temp_arr, left, right): 

 # A variable inv_count is used to store 
 # inversion counts in each recursive call 

 inv_count = 0

 # We will make a recursive call if and only if 
 # we have more than one elements 

 if left < right: 

  # mid is calculated to divide the array into two subarrays 
  # Floor division is must in case of python 

  mid = (left + right)//2

  # It will calculate inversion counts in the left subarray 

  inv_count = _mergeSort(arr, temp_arr, left, mid) 

  # It will calculate inversion counts in right subarray 

  inv_count += _mergeSort(arr, temp_arr, mid + 1, right) 

  # It will merge two subarrays in a sorted subarray 

  inv_count += merge(arr, temp_arr, left, mid, right) 
 return inv_count 

# This function will merge two subarrays in a single sorted subarray 
def merge(arr, temp_arr, left, mid, right): 
 i = left # Starting index of left subarray 
 j = mid + 1 # Starting index of right subarray 
 k = left # Starting index of to be sorted subarray 
 inv_count = 0

 # Conditions are checked to make sure that i and j don't exceed their 
 # subarray limits. 

 while i <= mid and j <= right: 

  # There will be no inversion if arr[i] <= arr[j] 

  if arr[i] <= arr[j]: 
   temp_arr[k] = arr[i] 
   k += 1
   i += 1
  else: 
   # Inversion will occur. 
   temp_arr[k] = arr[j] 
   inv_count += (mid-i + 1) 
   k += 1
   j += 1

 # Copy the remaining elements of left subarray into temporary array 
 while i <= mid: 
  temp_arr[k] = arr[i] 
  k += 1
  i += 1

 # Copy the remaining elements of right subarray into temporary array 
 while j <= right: 
  temp_arr[k] = arr[j] 
  k += 1
  j += 1

 # Copy the sorted subarray into Original array 
 for loop_var in range(left, right + 1): 
  arr[loop_var] = temp_arr[loop_var] 
  
 return inv_count 

'''
def merge(arr,start,mid,end):
    p=start
    q=mid+1
    k=0
    inv = 0
    temp=[0]*len(arr)
    for i in range(start,end+1):
     if p>mid :
      temp[k]=arr[q]
      k+=1
      q+=1
     elif q>end:
      temp[k]=arr[p]
      k+=1
      p+=1
     elif arr[p]<=arr[q]:
      temp[k]=arr[p]
      p+=1
      k+=1
     else:
      temp[k]=arr[q]
      q+=1
      k+=1
      inv += (mid-p+1)
    for i in range(k):
     arr[start]=temp[i]
     start+=1
 
    return inv

def mergesort(arr,start,end):
    inv_count=0 
    if start<end:
     mid=(start+end)//2
     inv_count += mergesort(arr,start,mid)
     inv_count += mergesort(arr,mid+1,end)
     inv_count += merge(arr,start,mid,end)
    return inv_count

'''
for _ in range(int(input())):
 n,d = list(map(int, input().split()))
 p = list(map(int, input().split()))
 
 inv_count = 0
 m={}
 sb = True #sortable
 for i in range(d):
  k=0
  for j in range(i,n,d):
   m[k]=p[j]
   k+=1
  inv_count += mergeSort(m,k)
  
  k=0
  for j in range(i,n,d):
   if not(m[k] == (j+1)):
    sb=False
    break
   k+=1
  
 if sb:
  print(inv_count)
 else:
  print(-1)


def merge(arr,start,mid,end):
 p=start
 q=mid+1
 k=0
 inv = 0
 temp=[0]*len(arr)
 for i in range(start,end+1):
  if p>mid :
   temp[k]=arr[q]
   k+=1
   q+=1
  elif q>end:
   temp[k]=arr[p]
   k+=1
   p+=1
  elif arr[p]<=arr[q]:
   temp[k]=arr[p]
   p+=1
   k+=1
  else:
   temp[k]=arr[q]
   q+=1
   k+=1
   inv += (mid-p+1)
 for i in range(k):
  arr[start]=temp[i]
  start+=1
 
 return inv

def mergesort(arr,start,end):
 inv_count=0 
 if start<end:
  mid=(start+end)//2
  inv_count += mergesort(arr,start,mid)
  inv_count += mergesort(arr,mid+1,end)
  inv_count += merge(arr,start,mid,end)
 return inv_count


for _ in range(int(input())):
 n,d = list(map(int, input().split()))
 p = list(map(int, input().split()))
 
 inv_count = 0
 m={}
 sb = True #sortable
 for i in range(d):
  k=0
  for j in range(i,n,d):
   m[k]=p[j]
   k+=1
  inv_count += mergesort(m,0,k-1)
  
  k=0
  for j in range(i,n,d):
   if not(m[k] == (j+1)):
    sb=False
    break
   k+=1
  
 if sb:
  print(inv_count)
 else:
  print(-1)


def merge(arr,start,mid,end):
 p=start
 q=mid+1
 k=0
 inv = 0
 temp=[0]*len(arr)
 for i in range(start,end+1):
  if p>mid :
   temp[k]=arr[q]
   k+=1
   q+=1
  elif q>end:
   temp[k]=arr[p]
   k+=1
   p+=1
  elif arr[p]<=arr[q]:
   temp[k]=arr[p]
   p+=1
   k+=1
  else:
   temp[k]=arr[q]
   q+=1
   k+=1
   inv += (mid-p+1)
 for i in range(k):
  arr[start]=temp[i]
  start+=1
 
 return inv

def mergesort(arr,start,end):
 inv_count=0 
 if start<end:
  mid=(start+end)//2
  inv_count += mergesort(arr,start,mid)
  inv_count += mergesort(arr,mid+1,end)
  inv_count += merge(arr,start,mid,end)
 return inv_count


for _ in range(int(input())):
 n,d = list(map(int, input().split()))
 p = list(map(int, input().split()))
 
 inv_count = 0
 m=[0]*n
 sb = True #sortable
 for i in range(d):
  k=0
  for j in range(i,n,d):
   m[k]=p[j]
   k+=1
  inv_count += mergesort(m,0,k-1)
  
  k=0
  for j in range(i,n,d):
   if not(m[k] == (j+1)):
    sb=False
    break
   k+=1
  
 if sb:
  print(inv_count)
 else:
  print(-1)


def merge(arr,start,mid,end):
 p=start
 q=mid+1
 k=0
 inv = 0
 temp=[0]*len(arr)
 for i in range(start,end+1):
  if p>mid :
   temp[k]=arr[q]
   k+=1
   q+=1
  elif q>end:
   temp[k]=arr[p]
   k+=1
   p+=1
  elif arr[p]<=arr[q]:
   temp[k]=arr[p]
   p+=1
   k+=1
  else:
   temp[k]=arr[q]
   q+=1
   k+=1
   inv += (mid-p+1)
 for i in range(k):
  arr[start]=temp[i]
  start+=1
 
 return inv

def mergesort(arr,start,end):
 inv_count=0 
 if start<end:
  mid=(start+end)//2
  inv_count += mergesort(arr,start,mid)
  inv_count += mergesort(arr,mid+1,end)
  inv_count += merge(arr,start,mid,end)
 return inv_count


for _ in range(int(input())):
 n,d = list(map(int, input().split()))
 p = list(map(int, input().split()))
 
 inv_count = 0
 m=[0]*n
 sb = True #sortable
 for i in range(d):
  k=0
  for j in range(i,n,d):
   m[k]=p[j]
   k+=1
  b = m[0:k]
  inv_count += mergesort(b,0,k-1)
  
  k=0
  for j in range(i,n,d):
   if not(b[k] == (j+1)):
    sb=False
    break
   k+=1
  
 if sb:
  print(inv_count)
 else:
  print(-1)


def merge(arr,start,mid,end):
 p=start
 q=mid+1
 k=0
 inv = 0
 temp=[0]*len(arr)
 for i in range(start,end+1):
  if p>mid :
   temp[k]=arr[q]
   k+=1
   q+=1
  elif q>end:
   temp[k]=arr[p]
   k+=1
   p+=1
  elif arr[p]<=arr[q]:
   temp[k]=arr[p]
   p+=1
   k+=1
  else:
   temp[k]=arr[q]
   q+=1
   k+=1
   inv += (mid-p+1)
 for i in range(k):
  arr[start]=temp[i]
  start+=1
 
 return inv

def mergesort(arr,start,end):
 inv_count=0 
 if start<end:
  mid=(start+end)//2
  inv_count += mergesort(arr,start,mid)
  inv_count += mergesort(arr,mid+1,end)
  inv_count += merge(arr,start,mid,end)
 return inv_count


for _ in range(int(input())):
 n,d = list(map(int, input().split()))
 p = list(map(int, input().split()))
 a = [0]*n
 
 #transformation
 for i in range(n):
  a[p[i]-1] = i
  
 m=[0]*d
 inv_count=0
 for i in range(d):
  t = (n-1-i)//d+1
  h=[0]*t
  for j in range(t):
   h[j]=a[i+j*(d)]
   #print(h)
  inv_count += mergesort(h,0,len(h)-1)
  m[i]=h
 #print(m)
 s=[0]*n
 for i in range(d):
  t = (n-1-i)//d+1
  for j in range(t):
   s[i+j*(d)]=m[i][j]
 mb=True
 #print('s',s)
 for i in range(n):
  if(s[i] == i):
   continue
  else:
   mb=False
   break
 if mb:
  print(inv_count)
 else:
  print(-1)


def merge(arr,start,mid,end):
 p=start
 q=mid+1
 k=0
 inv = 0
 temp=[0]*len(arr)
 for i in range(start,end+1):
  if p>mid :
   temp[k]=arr[q]
   k+=1
   q+=1
  elif q>end:
   temp[k]=arr[p]
   k+=1
   p+=1
  elif arr[p]<=arr[q]:
   temp[k]=arr[p]
   p+=1
   k+=1
  else:
   temp[k]=arr[q]
   q+=1
   k+=1
   inv += (mid-p+1)
 for i in range(k):
  arr[start]=temp[i]
  start+=1
 
 return inv

def mergesort(arr,start,end):
 inv_count=0 
 if start<end:
  mid=(start+end)//2
  inv_count += mergesort(arr,start,mid)
  inv_count += mergesort(arr,mid+1,end)
  inv_count += merge(arr,start,mid,end)
 return inv_count


for _ in range(int(input())):
 n,d = list(map(int, input().split()))
 p = list(map(int, input().split()))
 a = [0]*len(p)
 
 #transformation
 for i in range(len(p)):
  a[p[i]-1] = i
  
 m=[]
 k=[i for i in range(n)]
 inv_count=0
 for i in range(d):
  h=[]
  for j in range(n):
   if (i+j*(d))>=n:
    break
   h.append(a[i+j*(d)])
   #print(h)
  m.append(h)
  inv_count += mergesort(m[-1],0,len(m[-1])-1)
 #print(m)
 s=[0]*n
 for i in range(d):
  for j in range(n):
   if (i+j*(d))>=n:
    break
   s[i+j*(d)]=m[i][j]
 mb=True
 #print('s',s)
 for i in range(n):
  if(s[i] == k[i]):
   continue
  else:
   mb=False
   break
 if mb:
  print(inv_count)
 else:
  print(-1)


t=int(input())
def solve(arr):
 if len(arr)==1:
  return [0,arr]
 ans=0
 left=arr[:len(arr)//2]
 right=arr[len(arr)//2:]
 val1,lis1=solve(left)
 val2,lis2=solve(right)
 val,lis=merge(lis1,lis2)
 return [val+val1+val2,lis]

def merge(left,right):
 ans=[]
 final=0
 i,j=0,0
 n=len(left)
 while i<len(left) and j<len(right):
  if left[i]<right[j]:
   ans+=[left[i]]
   i+=1
  else:
   ans+=[right[j]]
   final+=n-i
   j+=1
 ans+=left[i:]+right[j:]
 return [final,ans]
  
  
for _ in range(t):
 n,d=list(map(int,input().split()))
 arr=list(map(int,input().split()))
 ans=0
 dic={i:[] for i in range(d)}
 found=False
 for i in range(n):
  if (arr[i]-i-1)%d!=0:
   found=True
   break
  else:
   if arr[i]%d==0:
    dic[0]+=[arr[i]//d-1]
   else:
    dic[arr[i]%d]+=[(arr[i]-(arr[i]%d))//d]
 if found:
  print(-1)
 else:
  ans=0
  for perm in list(dic.values()):
   ans+=solve(perm)[0]
  print(ans)


t=int(input())
def solve(arr):
 if len(arr)==1:
  return [0,arr]
 ans=0
 left=arr[:len(arr)//2]
 right=arr[len(arr)//2:]
 val1,lis1=solve(left)
 val2,lis2=solve(right)
 val,lis=merge(lis1,lis2)
 return [val+val1+val2,lis]

def merge(left,right):
 ans=[]
 final=0
 i,j=0,0
 n=len(left)
 while i<len(left) and j<len(right):
  if left[i]<right[j]:
   ans+=[left[i]]
   i+=1
  else:
   ans+=[right[j]]
   final+=n-i
   j+=1
 ans+=left[i:]+right[j:]
 return [final,ans]
  
  
for _ in range(t):
 n,d=list(map(int,input().split()))
 arr=list(map(int,input().split()))
 ans=0
 dic={i:[] for i in range(d)}
 found=False
 for i in range(n):
  if (arr[i]-i-1)%d!=0:
   found=True
   break
  else:
   if arr[i]%d==0:
    dic[0]+=[arr[i]//d-1]
   else:
    dic[arr[i]%d]+=[(arr[i]-(arr[i]%d))//d]
 if found:
  print(-1)
 else:
  ans=0
  for perm in list(dic.values()):
   ans+=solve(perm)[0]
  print(ans)
   
  
  


def valid(hash_t,n,d):
 flag = 0
 for i in range(d):
  for j in range(i+1,n,d):
   if (hash_t[j] - hash_t[i+1]) % d != 0:
    flag = 1
    return False

 return True


def num_inversion(hash_t,n,d):
 count = 0
 for i in range(d):
  for j in range(i+1,n,d):
   for k in range(j,n,d):
    if hash_t[j] > hash_t[k]:
     count += 1
 return count


tc = int(input())
while tc:
 n, d = input().split()
 n = int(n)
 d = int(d)
 a = [int(x) for x in input().split(" ")]
 if d == 1:
  count = 0
  for i in range(n):
   for j in range(i+1,n):
    if a[i] > a[j]:
     count += 1
  print(count)
 else :
  hash_t = [0]*(n+1)
  for i in range(n):
   hash_t[a[i]] = i+1

  if not valid(hash_t,n+1,d):
   print(-1)
  else :
   #print("Valid")
   count = num_inversion(hash_t,n+1,d)
   print(count)
 tc -= 1