Buggy python submission (verdict: Runtime Error):
def A(w, v, n,V):
    mem=[0 for i in range(V+1)]
    if n == 0 or V == 0:
        return 0
 
    for i in range(n):
        for j in range(V,w[i]-1,-1):
            m=v[i]+ mem[j - w[i]]
          	if m>mem[j]:
            	mem[j]=m
    return mem[V]
n,V=input().split()
n,V=int(n),int(V)
 
w=[0]*n
v=[0]*n
for i in range(n):
  x,y=input().split()
  w[i],v[i]=int(x),int(y)
 
print(A(w,v,n,V))

Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def A(w, v, n,V):
    mem=[0 for i in range(V+1)]
    if n == 0 or V == 0:
        return 0
 
    for i in range(n):
        for j in range(V,w[i]-1,-1):
            mem[j] = max(mem[j], v[i]+ mem[j - w[i]])
    return mem[V]
n,V=input().split()
n,V=int(n),int(V)
 
w=[0]*n
v=[0]*n
for i in range(n):
  x,y=input().split()
  w[i],v[i]=int(x),int(y)
 
print(A(w,v,n,V))

Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def A(w, v, n,V):
    mem=[0 for i in range(V+1)]
    if n == 0 or V == 0:
        return 0
 
    for i in range(n):
        for j in range(V,w[i]-1,-1):
            mem[j] = max(mem[j], v[i]+ mem[j - w[i]])
    return mem[V]
n,V=input().split()
n,V=int(n),int(V)
 
w=[0]*n
v=[0]*n
for i in range(n):
  x,y=input().split()
  w[i],v[i]=int(x),int(y)
 
print(A(W,V,4,4))

Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def MAXI(a):
    m=max(a)
    for i in range(3):
        if a[i]==m:
            id=i
    return m,id

tot=0
N=int(input())
i=0
while i<N:   
    if i==0:
        x=[int(a) for a in input().split()]
        m,id=MAXI(x)
        tot+=m
        i=i+1
    elif i==(N-1):
        x=[int(a) for a in input().split()]
        MAX=0
        for j in range(3):
            if j!=id:
                if x[j]>MAX:
                    MAX=x[j]
        tot+=MAX
        i=i+1
    else:
        x=[int(a) for a in input().split()]
        y=[int(a) for a in input().split()]
        i=i+2
        MAX=0
        for j in range(3):
            if j!=id:
                for k in range(3):
                    if k!=j:
                        s=x[j]+y[k]
                        if s>MAX:
                            MAX=s
                            id1=k                        
        tot+=MAX
        id=id1                            
print(tot)
    


Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def MAXI(a):
    m=max(a)
    for i in range(3):
        if a[i]==m:
            id=i
    return m,id



tot=0
N=int(input())
i=0
while i<N:
    
    if i==0:
        x=[int(a) for a in input().split()]
        m,id=MAXI(x)
        tot+=m
        i=i+1
    elif i==(N-1):
        x=[int(a) for a in input().split()]
        MAX=0
        for j in range(3):
            if j!=id:
                if x[j]>MAX:
                    MAX=x[j]
        tot+=MAX
        i=i+1

    else:
        x=[int(a) for a in input().split()]
        y=[int(a) for a in input().split()]
        i=i+2
        MAX=0
        for j in range(3):
            if j!=id:
                for k in range(3):
                    if k!=j:
                        s=x[j]+y[k]
                        if s>MAX:
                            MAX=s
                            id1=k
                        
        tot+=MAX
        id=id1
                            
        
print(tot)
    


Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def MAXI(a):
    m=max(a)
    for i in range(3):
        if a[i]==m:
            id=i
    return m,id



tot=0
N=int(input())
i=0
while i<N:
    
    if i==0:
        x=[int(a) for a in input().split()]
        m,id=MAXI(x)
        tot+=m
        i=i+1
    if i==(N-1):
        x=[int(a) for a in input().split()]
        MAX=0
        for j in range(3):
            if j!=id:
                if x[j]>MAX:
                    MAX=x[j]
        tot+=MAX
        i=i+1

    else:
        x=[int(a) for a in input().split()]
        y=[int(a) for a in input().split()]
        i=i+2
        MAX=0
        for j in range(3):
            if j!=id:
                for k in range(3):
                    if k!=j:
                        s=x[j]+y[k]
                        if s>MAX:
                            MAX=s
                            id1=k
                        
        tot+=MAX
        id=id1
                            
        
print(tot)
    


Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def fragOptimalJump(h,n,k):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        l=i-k
        if l<0:
            l=1
        min=10000000000
        for j in range(l,i):
            d=dp[j]+abs(h[i]-h[j])
            if d<min:
                min=d
            
        dp[i]=min
    return dp[n]



N,k=input().split()
N,k=int(N),int(k)
H=[0]*(N+1)
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N,k))


Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def fragOptimalJump(h,n,k):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        l=i-k
        if l<0:
            l=1
        min=1000000
        for j in range(l,i):
            d=dp[j]+abs(h[i]-h[j])
            if d<min:
                min=d
            
        dp[i]=min
    return dp[n]



N,k=input().split()
N,k=int(N),int(k)
H=[0]*(N+1)
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N,k))


Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def fragOptimalJump(h,n,k):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        l=i-k
        if l<0:
            l=1
        min=10000
        for j in range(l,i):
            d=dp[j]+abs(h[i]-h[j])
            if d<min:
                min=d
            
        dp[i]=min
    return dp[n]



N,k=input().split()
N,k=int(N),int(k)
H=[0]*(N+1)
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N,k))


Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def fragOptimalJump(h,n,k):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        l=i-k
        if l<0:
            l=1
        min=10000
        for j in range(l,i):
            d=dp[j]+abs(h[i]-h[j])
            if d<min:
                min=d
            
        dp[i]=min
    return dp[n]



N,k=input().split()
N,k=int(N),int(k)
H=[0]*(N+1)
read = [int(n) for n in input().split()]
H=[0]+read
print(H)
print(fragOptimalJump(H,N,k))

Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))

Buggy python submission (verdict: Runtime Error):
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        min=10000
        p=1
        j=1
        while j<i:
            d=dp[j]+abs(h[i]-h[j])
            if d<min:
                min=d
            p=p*2
            j=p
            
        dp[i]=min
    return dp[n]

N,k=input().split()
N,k=int(N),int(k)
H=[0]*(N+1)
read = [int(n) for n in input().split()]
H=[0]+read
print(H)
print(fragOptimalJump(H,N,k))

Fixed submission:
def fragOptimalJump(h,n):
    dp=[0]*(n+1)
    dp[2]=abs(h[1]-h[2])
    for i in range(3,n+1):
        dp[i]=min(dp[i-1]+abs(h[i]-h[i-1]), dp[i-2]+abs(h[i]-h[i-2]))
    return dp[n]
  
N=int(input())
read = [int(n) for n in input().split()]
H=[0]+read
print(fragOptimalJump(H,N))