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 re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_dead_code_insert
def re_arrange_array(arr, n): j = 0 for i in range(0, n): if arr[i] < 0: _i_5 = 0 if _i_5 < _i_5: j = j + 1 temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
1
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_for_while_loop
def re_arrange_array(arr, n): j = 0 i = 0 while i < n: if arr[i] < 0: temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 i += 1 return arr
1
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_operand_swap
def re_arrange_array(arr, n): j = 0 for i in range(0, n): if 0 > arr[i]: temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
1
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_rename_variable_cb
def re_arrange_array(split, n): j = 0 for i in range(0, n): if split[i] < 0: temp = split[i] split[i] = split[j] split[j] = temp j = j + 1 return split
1
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_rename_variable_naive
def re_arrange_array(VAR_0, n): j = 0 for i in range(0, n): if VAR_0[i] < 0: temp = VAR_0[i] VAR_0[i] = VAR_0[j] VAR_0[j] = temp j = j + 1 return VAR_0
1
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_rename_variable_rn
def re_arrange_array(O1Z, n): j = 0 for i in range(0, n): if O1Z[i] < 0: temp = O1Z[i] O1Z[i] = O1Z[j] O1Z[j] = temp j = j + 1 return O1Z
1
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_add_sub_variable
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j - 1 return arr
0
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_lesser_greater_variable
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] > 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
0
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
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
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
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
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
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
226
mbpp
def re_arrange_array(arr, n): j=0 for i in range(0, n): if (arr[i] < 0): temp = arr[i] arr[i] = arr[j] arr[j] = temp j = j + 1 return arr
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
226
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_dead_code_insert
def larg_nnum(list1, n): _i_3 = 0 if _i_3 < _i_3: import heapq import heapq largest = heapq.nlargest(n, list1) return largest
1
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_for_while_loop
def larg_nnum(list1, n): import heapq largest = heapq.nlargest(n, list1) return largest
1
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_operand_swap
def larg_nnum(list1, n): import heapq largest = heapq.nlargest(n, list1) return largest
1
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_rename_variable_cb
def larg_nnum(list1, n): import heapq result = heapq.nlargest(n, list1) return result
1
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_rename_variable_naive
def larg_nnum(list1, VAR_0): import heapq largest = heapq.nlargest(VAR_0, list1) return largest
1
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_rename_variable_rn
def larg_nnum(list1, x): import heapq largest = heapq.nlargest(x, list1) return largest
1
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
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
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
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
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
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
229
mbpp
def larg_nnum(list1,n): import heapq largest=heapq.nlargest(n,list1) return largest
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
229
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_dead_code_insert
def lateralsuface_cylinder(r, h): _i_9 = 0 while _i_9 < _i_9: lateralsurface = 2 * 3.1415 * r * h lateralsurface = 2 * 3.1415 * r * h return lateralsurface
1
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_for_while_loop
def lateralsuface_cylinder(r, h): lateralsurface = 2 * 3.1415 * r * h return lateralsurface
1
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_operand_swap
def lateralsuface_cylinder(r, h): lateralsurface = 2 * 3.1415 * r * h return lateralsurface
1
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_rename_variable_cb
def lateralsuface_cylinder(face, h): lateralsurface = 2 * 3.1415 * face * h return lateralsurface
1
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_rename_variable_naive
def lateralsuface_cylinder(r, h): VAR_0 = 2 * 3.1415 * r * h return VAR_0
1
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_rename_variable_rn
def lateralsuface_cylinder(r, h): E6181Y97x1zfS1 = 2 * 3.1415 * r * h return E6181Y97x1zfS1
1
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_mul_div_variable
def lateralsuface_cylinder(r,h): lateralsurface= 2/3.1415*r*h return lateralsurface
0
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
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
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
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
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
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
230
mbpp
def lateralsuface_cylinder(r,h): lateralsurface= 2*3.1415*r*h return lateralsurface
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
230
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_dead_code_insert
def even_bit_set_number(n): count = 0 _i_3 = 0 while _i_3 > _i_3: count += 1 res = 0 temp = n while temp > 0: if count % 2 == 1: res |= 1 << count count += 1 temp >>= 1 return n | res
1
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_for_while_loop
def even_bit_set_number(n): count = 0 res = 0 temp = n while temp > 0: if count % 2 == 1: res |= 1 << count count += 1 temp >>= 1 return n | res
1
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_operand_swap
def even_bit_set_number(n): count = 0 res = 0 temp = n while 0 < temp: if count % 2 == 1: res |= 1 << count count += 1 temp >>= 1 return n | res
1
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_rename_variable_cb
def even_bit_set_number(n): temp2 = 0 res = 0 temp = n while temp > 0: if temp2 % 2 == 1: res |= 1 << temp2 temp2 += 1 temp >>= 1 return n | res
1
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_rename_variable_naive
def even_bit_set_number(n): VAR_0 = 0 res = 0 temp = n while temp > 0: if VAR_0 % 2 == 1: res |= 1 << VAR_0 VAR_0 += 1 temp >>= 1 return n | res
1
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_rename_variable_rn
def even_bit_set_number(n): A486N = 0 res = 0 temp = n while temp > 0: if A486N % 2 == 1: res |= 1 << A486N A486N += 1 temp >>= 1 return n | res
1
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_add_sub_variable
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count-=1 temp >>= 1 return (n | res)
0
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_lesser_greater_variable
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 >< count) count+=1 temp >>= 1 return (n | res)
0
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_greater_lesser_variable
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp < 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
0
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_equalto_exclamation_variable
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 != 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
0
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | 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
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | res)
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | 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
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | 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
232
mbpp
def even_bit_set_number(n): count = 0;res = 0;temp = n while(temp > 0): if (count % 2 == 1): res |= (1 << count) count+=1 temp >>= 1 return (n | 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
232
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_dead_code_insert
def No_of_Triangle(N, K): if N < K: return -1 else: while False: Tri_down = ((N - 2 * K + 1) * (N - 2 * K + 2)) // 2 Tri_up = 0 Tri_up = ((N - K + 1) * (N - K + 2)) // 2 Tri_down = 0 Tri_down = ((N - 2 * K + 1) * (N - 2 * K + 2)) // 2 return Tri_up + Tri_down
1
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_for_while_loop
def No_of_Triangle(N, K): if N < K: return -1 else: Tri_up = 0 Tri_up = ((N - K + 1) * (N - K + 2)) // 2 Tri_down = 0 Tri_down = ((N - 2 * K + 1) * (N - 2 * K + 2)) // 2 return Tri_up + Tri_down
1
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_operand_swap
def No_of_Triangle(N, K): if K > N: return -1 else: Tri_up = 0 Tri_up = ((N - K + 1) * (N - K + 2)) // 2 Tri_down = 0 Tri_down = ((N - 2 * K + 1) * (N - 2 * K + 2)) // 2 return Tri_up + Tri_down
1
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_rename_variable_cb
def No_of_Triangle(N, N2): if N < N2: return -1 else: Tri_up = 0 Tri_up = ((N - N2 + 1) * (N - N2 + 2)) // 2 Tri_down = 0 Tri_down = ((N - 2 * N2 + 1) * (N - 2 * N2 + 2)) // 2 return Tri_up + Tri_down
1
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_rename_variable_naive
def No_of_Triangle(VAR_0, K): if VAR_0 < K: return -1 else: Tri_up = 0 Tri_up = ((VAR_0 - K + 1) * (VAR_0 - K + 2)) // 2 Tri_down = 0 Tri_down = ((VAR_0 - 2 * K + 1) * (VAR_0 - 2 * K + 2)) // 2 return Tri_up + Tri_down
1
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_rename_variable_rn
def No_of_Triangle(N, x): if N < x: return -1 else: Tri_up = 0 Tri_up = ((N - x + 1) * (N - x + 2)) // 2 Tri_down = 0 Tri_down = ((N - 2 * x + 1) * (N - 2 * x + 2)) // 2 return Tri_up + Tri_down
1
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_add_sub_variable
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K - 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
0
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_sub_add_variable
def No_of_Triangle(N,K): if (N < K): return +1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
0
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_mul_div_variable
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) /(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
0
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_div_mul_variable
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) */ 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
0
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_lesser_greater_variable
def No_of_Triangle(N,K): if (N > K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
0
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
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
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
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
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
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
233
mbpp
def No_of_Triangle(N,K): if (N < K): return -1; else: Tri_up = 0; Tri_up = ((N - K + 1) *(N - K + 2)) // 2; Tri_down = 0; Tri_down = ((N - 2 * K + 1) *(N - 2 * K + 2)) // 2; return Tri_up + Tri_down;
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
233
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_dead_code_insert
def get_total_number_of_sequences(m, n): T = [[0 for i in range(n + 1)] for i in range(m + 1)] for i in range(m + 1): for j in range(n + 1): if i == 0 or j == 0: _i_7 = 0 while _i_7 < _i_7: return T[m][n] T[i][j] = 0 elif i < j: T[i][j] = 0 elif j == 1: T[i][j] = i else: T[i][j] = T[i - 1][j] + T[i // 2][j - 1] return T[m][n]
1
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_for_while_loop
def get_total_number_of_sequences(m, n): T = [[0 for i in range(n + 1)] for i in range(m + 1)] i = 0 while i < m + 1: for j in range(n + 1): if i == 0 or j == 0: T[i][j] = 0 elif i < j: T[i][j] = 0 elif j == 1: T[i][j] = i else: T[i][j] = T[i - 1][j] + T[i // 2][j - 1] i += 1 return T[m][n]
1
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_operand_swap
def get_total_number_of_sequences(m, n): T = [[0 for i in range(n + 1)] for i in range(m + 1)] for i in range(m + 1): for j in range(n + 1): if 0 == i or j == 0: T[i][j] = 0 elif i < j: T[i][j] = 0 elif j == 1: T[i][j] = i else: T[i][j] = T[i - 1][j] + T[i // 2][j - 1] return T[m][n]
1
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_rename_variable_naive
def get_total_number_of_sequences(m, n): T = [[0 for VAR_0 in range(n + 1)] for VAR_0 in range(m + 1)] for VAR_0 in range(m + 1): for j in range(n + 1): if VAR_0 == 0 or j == 0: T[VAR_0][j] = 0 elif VAR_0 < j: T[VAR_0][j] = 0 elif j == 1: T[VAR_0][j] = VAR_0 else: T[VAR_0][j] = T[VAR_0 - 1][j] + T[VAR_0 // 2][j - 1] return T[m][n]
1
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_rename_variable_rn
def get_total_number_of_sequences(m, n): T = [[0 for q in range(n + 1)] for q in range(m + 1)] for q in range(m + 1): for j in range(n + 1): if q == 0 or j == 0: T[q][j] = 0 elif q < j: T[q][j] = 0 elif j == 1: T[q][j] = q else: T[q][j] = T[q - 1][j] + T[q // 2][j - 1] return T[m][n]
1
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_add_sub_variable
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n-1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_sub_add_variable
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i+1][j]+T[i//2][j-1] return T[m][n]
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_div_mul_variable
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i*/2][j-1] return T[m][n]
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_lesser_greater_variable
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i>j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_equalto_exclamation_variable
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i!=0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_or_and_variable
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 and j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][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
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][n]
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][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
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][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
236
mbpp
def get_total_number_of_sequences(m,n): T=[[0 for i in range(n+1)] for i in range(m+1)] for i in range(m+1): for j in range(n+1): if i==0 or j==0: T[i][j]=0 elif i<j: T[i][j]=0 elif j==1: T[i][j]=i else: T[i][j]=T[i-1][j]+T[i//2][j-1] return T[m][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
236
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_dead_code_insert
def replace_list(list1, list2): for _i_0 in range(0): replace_list = list1 list1[-1:] = list2 replace_list = list1 return replace_list
1
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_for_while_loop
def replace_list(list1, list2): list1[-1:] = list2 replace_list = list1 return replace_list
1
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_operand_swap
def replace_list(list1, list2): list1[-1:] = list2 replace_list = list1 return replace_list
1
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_rename_variable_cb
def replace_list(line, list2): line[-1:] = list2 replace_list = line return replace_list
1
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_rename_variable_naive
def replace_list(VAR_0, list2): VAR_0[-1:] = list2 replace_list = VAR_0 return replace_list
1
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_rename_variable_rn
def replace_list(h94o4, list2): h94o4[-1:] = list2 replace_list = h94o4 return replace_list
1
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_sub_add_variable
def replace_list(list1,list2): list1[+1:] = list2 replace_list=list1 return replace_list
0
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_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
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_list
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_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
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_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
237
mbpp
def replace_list(list1,list2): list1[-1:] = list2 replace_list=list1 return replace_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
237
mbpp
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return ([(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()])
transformation_dead_code_insert
def sort_on_occurence(lst): dct = {} for i, j in lst: for _i_4 in range(0): dct = {} dct.setdefault(i, []).append(j) return [(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()]
1
240
mbpp
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return ([(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()])
transformation_for_while_loop
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return [(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()]
1
240
mbpp
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return ([(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()])
transformation_operand_swap
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return [(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()]
1
240
mbpp
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return ([(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()])
transformation_rename_variable_cb
def sort_on_occurence(lst): dct = {} for i, d in lst: dct.setdefault(i, []).append(d) return [(i, *dict.fromkeys(d), len(d)) for i, d in dct.items()]
1
240
mbpp
def sort_on_occurence(lst): dct = {} for i, j in lst: dct.setdefault(i, []).append(j) return ([(i, *dict.fromkeys(j), len(j)) for i, j in dct.items()])
transformation_rename_variable_naive
def sort_on_occurence(lst): dct = {} for i, VAR_0 in lst: dct.setdefault(i, []).append(VAR_0) return [(i, *dict.fromkeys(VAR_0), len(VAR_0)) for i, VAR_0 in dct.items()]
1
240
mbpp