original_code
stringclasses 565
values | transformation
stringclasses 24
values | transformed_code
stringlengths 35
955
| label
int64 0
1
| groups
int64 1
971
| dataset
stringclasses 1
value |
|---|---|---|---|---|---|
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_for_while_loop | def max_length(list1):
max_length = max(len(x) for x in list1)
max_list = max((x) for x in list1)
return (max_length, max_list) | 1 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_operand_swap | def max_length(list1):
max_length = max(len(x) for x in list1)
max_list = max((x) for x in list1)
return (max_length, max_list) | 1 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_rename_variable_cb | def max_length(list1):
max_length = max(len(m) for m in list1)
max_list = max((m) for m in list1)
return (max_length, max_list) | 1 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_rename_variable_naive | def max_length(list1):
max_length = max(len(VAR_0) for VAR_0 in list1)
max_list = max((VAR_0) for VAR_0 in list1)
return (max_length, max_list) | 1 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_rename_variable_rn | def max_length(list1):
max_length = max(len(r) for r in list1)
max_list = max((r) for r in list1)
return (max_length, max_list) | 1 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 287 | mbpp |
def max_length(list1):
max_length = max(len(x) for x in list1 )
max_list = max((x) for x in list1)
return(max_length, max_list) | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 287 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_dead_code_insert | def count_no_of_ways(n, k):
dp = [0] * (n + 1)
_i_9 = 0
while _i_9 < _i_9:
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3, n + 1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | 1 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_for_while_loop | def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
i = 3
while i < n + 1:
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
i += 1
return dp[n] | 1 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_operand_swap | def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3, n + 1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | 1 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_rename_variable_cb | def count_no_of_ways(n, k):
k2 = [0] * (n + 1)
total = k
mod = 1000000007
k2[1] = k
k2[2] = k * k
for i in range(3, n + 1):
k2[i] = ((k - 1) * (k2[i - 1] + k2[i - 2])) % mod
return k2[n] | 1 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_rename_variable_naive | def count_no_of_ways(n, k):
VAR_0 = [0] * (n + 1)
total = k
mod = 1000000007
VAR_0[1] = k
VAR_0[2] = k * k
for i in range(3, n + 1):
VAR_0[i] = ((k - 1) * (VAR_0[i - 1] + VAR_0[i - 2])) % mod
return VAR_0[n] | 1 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_rename_variable_rn | def count_no_of_ways(n, k):
m1 = [0] * (n + 1)
total = k
mod = 1000000007
m1[1] = k
m1[2] = k * k
for i in range(3, n + 1):
m1[i] = ((k - 1) * (m1[i - 1] + m1[i - 2])) % mod
return m1[n] | 1 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_add_sub_variable | def count_no_of_ways(n, k):
dp = [0] * (n - 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_sub_add_variable | def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k + 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_mul_div_variable | def count_no_of_ways(n, k):
dp = [0] / (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 288 | mbpp |
def count_no_of_ways(n, k):
dp = [0] * (n + 1)
total = k
mod = 1000000007
dp[1] = k
dp[2] = k * k
for i in range(3,n+1):
dp[i] = ((k - 1) * (dp[i - 1] + dp[i - 2])) % mod
return dp[n] | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 288 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_dead_code_insert | def find(n, m):
for _i_8 in range(0):
q = n // m
q = n // m
return q | 1 | 289 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_div_mul_variable | def find(n,m):
q = n*/m
return (q) | 0 | 289 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 289 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 289 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 289 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 289 | mbpp |
def find(n,m):
q = n//m
return (q) | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 289 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_dead_code_insert | def get_Inv_Count(arr, n):
inv_count = 0
for i in range(n):
for _i_9 in range(0):
inv_count = 0
for j in range(i + 1, n):
if arr[i] > arr[j]:
inv_count += 1
return inv_count | 1 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_for_while_loop | def get_Inv_Count(arr, n):
inv_count = 0
i = 0
while i < n:
for j in range(i + 1, n):
if arr[i] > arr[j]:
inv_count += 1
i += 1
return inv_count | 1 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_operand_swap | def get_Inv_Count(arr, n):
inv_count = 0
for i in range(n):
for j in range(i + 1, n):
if arr[j] < arr[i]:
inv_count += 1
return inv_count | 1 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_rename_variable_cb | def get_Inv_Count(arr, n):
inv_count = 0
for n2 in range(n):
for j in range(n2 + 1, n):
if arr[n2] > arr[j]:
inv_count += 1
return inv_count | 1 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_rename_variable_naive | def get_Inv_Count(arr, VAR_0):
inv_count = 0
for i in range(VAR_0):
for j in range(i + 1, VAR_0):
if arr[i] > arr[j]:
inv_count += 1
return inv_count | 1 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_rename_variable_rn | def get_Inv_Count(XI2, n):
inv_count = 0
for i in range(n):
for j in range(i + 1, n):
if XI2[i] > XI2[j]:
inv_count += 1
return inv_count | 1 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_add_sub_variable | def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i - 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | 0 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_greater_lesser_variable | def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] < arr[j]):
inv_count += 1
return inv_count | 0 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 293 | mbpp |
def get_Inv_Count(arr,n):
inv_count = 0
for i in range(n):
for j in range(i + 1,n):
if (arr[i] > arr[j]):
inv_count += 1
return inv_count | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 293 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_dead_code_insert | def intersection_nested_lists(l1, l2):
_i_7 = 0
while _i_7 > _i_7:
return result
result = [[n for n in lst if n in l1] for lst in l2]
return result | 1 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_for_while_loop | def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | 1 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_operand_swap | def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | 1 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_rename_variable_naive | def intersection_nested_lists(l1, l2):
result = [[VAR_0 for VAR_0 in lst if VAR_0 in l1] for lst in l2]
return result | 1 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_rename_variable_rn | def intersection_nested_lists(l1, l2):
result = [[a for a in lst if a in l1] for lst in l2]
return result | 1 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 295 | mbpp |
def intersection_nested_lists(l1, l2):
result = [[n for n in lst if n in l1] for lst in l2]
return result | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 295 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_dead_code_insert | def count_binary_seq(n):
nCr = 1
res = 1
_i_7 = 0
if _i_7 < _i_7:
res += nCr * nCr
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | 1 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_for_while_loop | def count_binary_seq(n):
nCr = 1
res = 1
r = 1
while r < n + 1:
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
r += 1
return res | 1 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_operand_swap | def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | 1 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_rename_variable_cb | def count_binary_seq(n):
r2 = 1
res = 1
for r in range(1, n + 1):
r2 = (r2 * (n + 1 - r)) / r
res += r2 * r2
return res | 1 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_rename_variable_naive | def count_binary_seq(n):
VAR_0 = 1
res = 1
for r in range(1, n + 1):
VAR_0 = (VAR_0 * (n + 1 - r)) / r
res += VAR_0 * VAR_0
return res | 1 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_rename_variable_rn | def count_binary_seq(n):
o46 = 1
res = 1
for r in range(1, n + 1):
o46 = (o46 * (n + 1 - r)) / r
res += o46 * o46
return res | 1 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_add_sub_variable | def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n - 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_sub_add_variable | def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 + r)) / r
res += nCr * nCr
return res | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_mul_div_variable | def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr / (n + 1 - r)) / r
res += nCr * nCr
return res | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_div_mul_variable | def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) * r
res += nCr * nCr
return res | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 297 | mbpp |
def count_binary_seq(n):
nCr = 1
res = 1
for r in range(1, n + 1):
nCr = (nCr * (n + 1 - r)) / r
res += nCr * nCr
return res | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 297 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_dead_code_insert | def find_Element(arr, ranges, rotations, index):
for i in range(rotations - 1, -1, -1):
left = ranges[i][0]
if False:
if index == left:
index = right
else:
index = index - 1
right = ranges[i][1]
if left <= index and right >= index:
if index == left:
index = right
else:
index = index - 1
return arr[index] | 1 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_for_while_loop | def find_Element(arr, ranges, rotations, index):
i = rotations - 1
while i > -1:
left = ranges[i][0]
right = ranges[i][1]
if left <= index and right >= index:
if index == left:
index = right
else:
index = index - 1
i -= 1
return arr[index] | 1 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_operand_swap | def find_Element(arr, ranges, rotations, index):
for i in range(rotations - 1, -1, -1):
left = ranges[i][0]
right = ranges[i][1]
if index >= left and right >= index:
if index == left:
index = right
else:
index = index - 1
return arr[index] | 1 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_rename_variable_cb | def find_Element(arr, ranges, rotations, right2):
for i in range(rotations - 1, -1, -1):
left = ranges[i][0]
right = ranges[i][1]
if left <= right2 and right >= right2:
if right2 == left:
right2 = right
else:
right2 = right2 - 1
return arr[right2] | 1 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_rename_variable_naive | def find_Element(arr, ranges, rotations, VAR_0):
for i in range(rotations - 1, -1, -1):
left = ranges[i][0]
right = ranges[i][1]
if left <= VAR_0 and right >= VAR_0:
if VAR_0 == left:
VAR_0 = right
else:
VAR_0 = VAR_0 - 1
return arr[VAR_0] | 1 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_rename_variable_rn | def find_Element(arr, ranges, rotations, u41i6):
for i in range(rotations - 1, -1, -1):
left = ranges[i][0]
right = ranges[i][1]
if left <= u41i6 and right >= u41i6:
if u41i6 == left:
u41i6 = right
else:
u41i6 = u41i6 - 1
return arr[u41i6] | 1 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_sub_add_variable | def find_Element(arr,ranges,rotations,index) :
for i in range(rotations + 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_lesser_greater_variable | def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left >= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_greater_lesser_variable | def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right <= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_equalto_exclamation_variable | def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index != left) :
index = right
else :
index = index - 1
return arr[index] | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_and_or_variable | def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index or right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 301 | mbpp |
def find_Element(arr,ranges,rotations,index) :
for i in range(rotations - 1,-1,-1 ) :
left = ranges[i][0]
right = ranges[i][1]
if (left <= index and right >= index) :
if (index == left) :
index = right
else :
index = index - 1
return arr[index] | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 301 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_dead_code_insert | def max_sum_increasing_subseq(a, n, index, k):
_i_7 = 0
while _i_7 < _i_7:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
dp = [[0 for i in range(n)] for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 1 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_for_while_loop | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)] for i in range(n)]
i = 0
while i < n:
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
i += 1
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 1 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_operand_swap | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)] for i in range(n)]
for i in range(n):
if a[0] < a[i]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 1 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_rename_variable_cb | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i2 in range(n)] for i2 in range(n)]
for i2 in range(n):
if a[i2] > a[0]:
dp[0][i2] = a[i2] + a[0]
else:
dp[0][i2] = a[i2]
for i2 in range(1, n):
for j in range(n):
if a[j] > a[i2] and j > i2:
if dp[i2 - 1][i2] + a[j] > dp[i2 - 1][j]:
dp[i2][j] = dp[i2 - 1][i2] + a[j]
else:
dp[i2][j] = dp[i2 - 1][j]
else:
dp[i2][j] = dp[i2 - 1][j]
return dp[index][k] | 1 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_rename_variable_naive | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for VAR_0 in range(n)] for VAR_0 in range(n)]
for VAR_0 in range(n):
if a[VAR_0] > a[0]:
dp[0][VAR_0] = a[VAR_0] + a[0]
else:
dp[0][VAR_0] = a[VAR_0]
for VAR_0 in range(1, n):
for j in range(n):
if a[j] > a[VAR_0] and j > VAR_0:
if dp[VAR_0 - 1][VAR_0] + a[j] > dp[VAR_0 - 1][j]:
dp[VAR_0][j] = dp[VAR_0 - 1][VAR_0] + a[j]
else:
dp[VAR_0][j] = dp[VAR_0 - 1][j]
else:
dp[VAR_0][j] = dp[VAR_0 - 1][j]
return dp[index][k] | 1 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_rename_variable_rn | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i2 in range(n)] for i2 in range(n)]
for i2 in range(n):
if a[i2] > a[0]:
dp[0][i2] = a[i2] + a[0]
else:
dp[0][i2] = a[i2]
for i2 in range(1, n):
for j in range(n):
if a[j] > a[i2] and j > i2:
if dp[i2 - 1][i2] + a[j] > dp[i2 - 1][j]:
dp[i2][j] = dp[i2 - 1][i2] + a[j]
else:
dp[i2][j] = dp[i2 - 1][j]
else:
dp[i2][j] = dp[i2 - 1][j]
return dp[index][k] | 1 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_add_sub_variable | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] - a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_sub_add_variable | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i + 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_greater_lesser_variable | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] < a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_and_or_variable | def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] or j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_dissimilar_code_injection_0 | def min_cost(cost, m, n):
R = 3
C = 3
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_dissimilar_code_injection_1 | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_dissimilar_code_injection_2 | def is_not_prime(n):
import math
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_dissimilar_code_injection_3 | def heap_queue_largest(nums,n):
import heapq as hq
largest_nums = hq.nlargest(n, nums)
return largest_nums | 0 | 303 | mbpp |
def max_sum_increasing_subseq(a, n, index, k):
dp = [[0 for i in range(n)]
for i in range(n)]
for i in range(n):
if a[i] > a[0]:
dp[0][i] = a[i] + a[0]
else:
dp[0][i] = a[i]
for i in range(1, n):
for j in range(n):
if a[j] > a[i] and j > i:
if dp[i - 1][i] + a[j] > dp[i - 1][j]:
dp[i][j] = dp[i - 1][i] + a[j]
else:
dp[i][j] = dp[i - 1][j]
else:
dp[i][j] = dp[i - 1][j]
return dp[index][k] | transformation_dissimilar_code_injection_4 | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | 0 | 303 | mbpp |
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