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 remove_tuple(test_list): res = [sub for sub in test_list if not all(ele == None for ele in sub)] return (str(res))
transformation_equalto_exclamation_variable
def remove_tuple(test_list): res = [sub for sub in test_list if not all(ele != None for ele in sub)] return (str(res))
0
917
mbpp
def remove_tuple(test_list): res = [sub for sub in test_list if not all(ele == None for ele in sub)] return (str(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
917
mbpp
def remove_tuple(test_list): res = [sub for sub in test_list if not all(ele == None for ele in sub)] return (str(res))
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
917
mbpp
def remove_tuple(test_list): res = [sub for sub in test_list if not all(ele == None for ele in sub)] return (str(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
917
mbpp
def remove_tuple(test_list): res = [sub for sub in test_list if not all(ele == None for ele in sub)] return (str(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
917
mbpp
def remove_tuple(test_list): res = [sub for sub in test_list if not all(ele == None for ele in sub)] return (str(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
917
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_dead_code_insert
def chunk_tuples(test_tup, N): for _i_7 in range(0): return res res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return res
1
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_for_while_loop
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return res
1
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_operand_swap
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return res
1
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_rename_variable_cb
def chunk_tuples(test_tup, N): res = [test_tup[i2 : i2 + N] for i2 in range(0, len(test_tup), N)] return res
1
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_rename_variable_naive
def chunk_tuples(test_tup, VAR_0): res = [test_tup[i : i + VAR_0] for i in range(0, len(test_tup), VAR_0)] return res
1
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_rename_variable_rn
def chunk_tuples(SP147wy2, N): res = [SP147wy2[i : i + N] for i in range(0, len(SP147wy2), N)] return res
1
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] return (res)
transformation_add_sub_variable
def chunk_tuples(test_tup, N): res = [test_tup[i : i - N] for i in range(0, len(test_tup), N)] return (res)
0
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] 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
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] 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
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] 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
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] 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
918
mbpp
def chunk_tuples(test_tup, N): res = [test_tup[i : i + N] for i in range(0, len(test_tup), N)] 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
918
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_dead_code_insert
def max_height(node): class Node: def __init__(self, data): while False: self.left = None self.data = data self.left = None self.right = None if node is None: return 0 else: left_height = max_height(node.left) right_height = max_height(node.right) if left_height > right_height: return left_height + 1 else: return right_height + 1
1
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_for_while_loop
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 else: left_height = max_height(node.left) right_height = max_height(node.right) if left_height > right_height: return left_height + 1 else: return right_height + 1
1
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_operand_swap
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 else: left_height = max_height(node.left) right_height = max_height(node.right) if right_height < left_height: return left_height + 1 else: return right_height + 1
1
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_rename_variable_cb
def max_height(mask): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if mask is None: return 0 else: left_height = max_height(mask.left) right_height = max_height(mask.right) if left_height > right_height: return left_height + 1 else: return right_height + 1
1
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_rename_variable_naive
def max_height(VAR_0): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if VAR_0 is None: return 0 else: left_height = max_height(VAR_0.left) right_height = max_height(VAR_0.right) if left_height > right_height: return left_height + 1 else: return right_height + 1
1
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_rename_variable_rn
def max_height(v9bZ): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if v9bZ is None: return 0 else: left_height = max_height(v9bZ.left) right_height = max_height(v9bZ.right) if left_height > right_height: return left_height + 1 else: return right_height + 1
1
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_add_sub_variable
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height-1 else: return right_height+1
0
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_greater_lesser_variable
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height < right_height): return left_height+1 else: return right_height+1
0
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_is_isnot_variable
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is not None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
0
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
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
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
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
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
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
924
mbpp
def max_height(node): class Node: def __init__(self, data): self.data = data self.left = None self.right = None if node is None: return 0 ; else : left_height = max_height(node.left) right_height = max_height(node.right) if (left_height > right_height): return left_height+1 else: return right_height+1
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
924
mbpp
def count_tuplex(tuplex,value): count = tuplex.count(value) return count
transformation_dead_code_insert
def count_tuplex(tuplex, value): _i_6 = 0 if _i_6 < _i_6: return count count = tuplex.count(value) return count
1
926
mbpp
def count_tuplex(tuplex,value): count = tuplex.count(value) return 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
926
mbpp
def count_tuplex(tuplex,value): count = tuplex.count(value) return count
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
926
mbpp
def count_tuplex(tuplex,value): count = tuplex.count(value) return 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
926
mbpp
def count_tuplex(tuplex,value): count = tuplex.count(value) return 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
926
mbpp
def count_tuplex(tuplex,value): count = tuplex.count(value) return 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
926
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_dead_code_insert
def text_match(text): import re patterns = "ab*?" for _i_1 in range(0): return "Found a match!" if re.search(patterns, text): return "Found a match!" else: return "Not matched!"
1
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_for_while_loop
def text_match(text): import re patterns = "ab*?" if re.search(patterns, text): return "Found a match!" else: return "Not matched!"
1
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_operand_swap
def text_match(text): import re patterns = "ab*?" if re.search(patterns, text): return "Found a match!" else: return "Not matched!"
1
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_rename_variable_naive
def text_match(VAR_0): import re patterns = "ab*?" if re.search(patterns, VAR_0): return "Found a match!" else: return "Not matched!"
1
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_rename_variable_rn
def text_match(n23e): import re patterns = "ab*?" if re.search(patterns, n23e): return "Found a match!" else: return "Not matched!"
1
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_mul_div_variable
def text_match(text): import re patterns = 'ab/?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
0
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
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
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
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
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
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
927
mbpp
def text_match(text): import re patterns = 'ab*?' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!')
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
927
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_dead_code_insert
def sum_series(number): _i_3 = 0 while _i_3 < _i_3: return total import math total = 0 total = math.pow((number * (number + 1)) / 2, 2) return total
1
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_for_while_loop
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) / 2, 2) return total
1
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_operand_swap
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) / 2, 2) return total
1
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_rename_variable_cb
def sum_series(number): import math number2 = 0 number2 = math.pow((number * (number + 1)) / 2, 2) return number2
1
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_rename_variable_naive
def sum_series(VAR_0): import math total = 0 total = math.pow((VAR_0 * (VAR_0 + 1)) / 2, 2) return total
1
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_rename_variable_rn
def sum_series(PG35c9): import math total = 0 total = math.pow((PG35c9 * (PG35c9 + 1)) / 2, 2) return total
1
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_add_sub_variable
def sum_series(number): import math total = 0 total = math.pow((number * (number - 1)) /2, 2) return total
0
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_mul_div_variable
def sum_series(number): import math total = 0 total = math.pow((number / (number + 1)) /2, 2) return total
0
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_div_mul_variable
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) *2, 2) return total
0
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
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
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
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
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
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
928
mbpp
def sum_series(number): import math total = 0 total = math.pow((number * (number + 1)) /2, 2) return total
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
928
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_dead_code_insert
def camel_to_snake(text): while False: str1 = re.sub("(.)([A-Z][a-z]+)", r"1_2", text) import re str1 = re.sub("(.)([A-Z][a-z]+)", r"1_2", text) return re.sub("([a-z0-9])([A-Z])", r"1_2", str1).lower()
1
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_for_while_loop
def camel_to_snake(text): import re str1 = re.sub("(.)([A-Z][a-z]+)", r"1_2", text) return re.sub("([a-z0-9])([A-Z])", r"1_2", str1).lower()
1
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_operand_swap
def camel_to_snake(text): import re str1 = re.sub("(.)([A-Z][a-z]+)", r"1_2", text) return re.sub("([a-z0-9])([A-Z])", r"1_2", str1).lower()
1
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_rename_variable_cb
def camel_to_snake(text): import re text2 = re.sub("(.)([A-Z][a-z]+)", r"1_2", text) return re.sub("([a-z0-9])([A-Z])", r"1_2", text2).lower()
1
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_rename_variable_naive
def camel_to_snake(text): import re VAR_0 = re.sub("(.)([A-Z][a-z]+)", r"1_2", text) return re.sub("([a-z0-9])([A-Z])", r"1_2", VAR_0).lower()
1
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_rename_variable_rn
def camel_to_snake(text): import re str1 = re.V98("(.)([A-Z][a-z]+)", r"1_2", text) return re.V98("([a-z0-9])([A-Z])", r"1_2", str1).lower()
1
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_add_sub_variable
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]-)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
0
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_sub_add_variable
def camel_to_snake(text): import re str1 = re.sub('(.)([A+Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
0
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
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
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
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
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
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
930
mbpp
def camel_to_snake(text): import re str1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', str1).lower()
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
930
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_dead_code_insert
def dealnnoy_num(n, m): _i_4 = 0 while _i_4 < _i_4: return 1 if m == 0 or n == 0: return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
1
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_for_while_loop
def dealnnoy_num(n, m): if m == 0 or n == 0: return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
1
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_operand_swap
def dealnnoy_num(n, m): if 0 == m or n == 0: return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
1
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_rename_variable_cb
def dealnnoy_num(n, n2): if n2 == 0 or n == 0: return 1 return ( dealnnoy_num(n2 - 1, n) + dealnnoy_num(n2 - 1, n - 1) + dealnnoy_num(n2, n - 1) )
1
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_rename_variable_naive
def dealnnoy_num(n, VAR_0): if VAR_0 == 0 or n == 0: return 1 return ( dealnnoy_num(VAR_0 - 1, n) + dealnnoy_num(VAR_0 - 1, n - 1) + dealnnoy_num(VAR_0, n - 1) )
1
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_rename_variable_rn
def dealnnoy_num(n, G): if G == 0 or n == 0: return 1 return dealnnoy_num(G - 1, n) + dealnnoy_num(G - 1, n - 1) + dealnnoy_num(G, n - 1)
1
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_add_sub_variable
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) - dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
0
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_sub_add_variable
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m + 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
0
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_equalto_exclamation_variable
def dealnnoy_num(n, m): if (m != 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
0
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_or_and_variable
def dealnnoy_num(n, m): if (m == 0 and n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
0
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
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
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
transformation_dissimilar_code_injection_1
def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return (res)
0
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
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
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
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
931
mbpp
def dealnnoy_num(n, m): if (m == 0 or n == 0) : return 1 return dealnnoy_num(m - 1, n) + dealnnoy_num(m - 1, n - 1) + dealnnoy_num(m, n - 1)
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
931
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_dead_code_insert
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) _i_0 = 0 while _i_0 < _i_0: while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
1
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_for_while_loop
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
1
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_operand_swap
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while 0 < end: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
1
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_rename_variable_cb
def heap_sort(root2): heapify(root2) end = len(root2) - 1 while end > 0: root2[end], root2[0] = root2[0], root2[end] shift_down(root2, 0, end - 1) end -= 1 return root2 def heapify(root2): start = len(root2) // 2 while start >= 0: shift_down(root2, start, len(root2) - 1) start -= 1 def shift_down(root2, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and root2[child] < root2[child + 1]: child += 1 if child <= end and root2[root] < root2[child]: root2[root], root2[child] = root2[child], root2[root] root = child else: return
1
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_rename_variable_naive
def heap_sort(VAR_0): heapify(VAR_0) end = len(VAR_0) - 1 while end > 0: VAR_0[end], VAR_0[0] = VAR_0[0], VAR_0[end] shift_down(VAR_0, 0, end - 1) end -= 1 return VAR_0 def heapify(VAR_0): start = len(VAR_0) // 2 while start >= 0: shift_down(VAR_0, start, len(VAR_0) - 1) start -= 1 def shift_down(VAR_0, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and VAR_0[child] < VAR_0[child + 1]: child += 1 if child <= end and VAR_0[root] < VAR_0[child]: VAR_0[root], VAR_0[child] = VAR_0[child], VAR_0[root] root = child else: return
1
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_rename_variable_rn
def heap_sort(S0H): heapify(S0H) end = len(S0H) - 1 while end > 0: S0H[end], S0H[0] = S0H[0], S0H[end] shift_down(S0H, 0, end - 1) end -= 1 return S0H def heapify(S0H): start = len(S0H) // 2 while start >= 0: shift_down(S0H, start, len(S0H) - 1) start -= 1 def shift_down(S0H, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and S0H[child] < S0H[child + 1]: child += 1 if child <= end and S0H[root] < S0H[child]: S0H[root], S0H[child] = S0H[child], S0H[root] root = child else: return
1
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_add_sub_variable
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 - 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
0
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_sub_add_variable
def heap_sort(arr): heapify(arr) end = len(arr) + 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
0
937
mbpp
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root * 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
transformation_mul_div_variable
def heap_sort(arr): heapify(arr) end = len(arr) - 1 while end > 0: arr[end], arr[0] = arr[0], arr[end] shift_down(arr, 0, end - 1) end -= 1 return arr def heapify(arr): start = len(arr) // 2 while start >= 0: shift_down(arr, start, len(arr) - 1) start -= 1 def shift_down(arr, start, end): root = start while root / 2 + 1 <= end: child = root * 2 + 1 if child + 1 <= end and arr[child] < arr[child + 1]: child += 1 if child <= end and arr[root] < arr[child]: arr[root], arr[child] = arr[child], arr[root] root = child else: return
0
937
mbpp