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def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1])
ans.append(1) else: ans.append(val) return ans
if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L12_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1])
else: ans.append(val) return ans
if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L12_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1])
ans.append(val) return ans
if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L12_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1])
return ans
if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L12_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1])
if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L12_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j])
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L13
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L15
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L16
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L18
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L20
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L21
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
ans.append(1) else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
else: ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
ans.append(val) return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
return ans
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1:
temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L13_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
if j != n - 1:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L15
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1])
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L16
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L18
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L20
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L21
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
ans.append(1) else: ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
else: ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
ans.append(val) return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
return ans
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j])
if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L15_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i][j + 1])
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L16
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i][j + 1]) val = min(temp)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L18
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i][j + 1]) val = min(temp) ans = []
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L20
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L21
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
ans.append(1) else: ans.append(val) return ans
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
else: ans.append(val) return ans
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
ans.append(val) return ans
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
return ans
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1:
temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L16_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
val = min(temp)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L18
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
val = min(temp) ans = []
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L20
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
val = min(temp) ans = [] for i in range(k):
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L21
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
ans.append(1) else: ans.append(val) return ans
val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
else: ans.append(val) return ans
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
ans.append(val) return ans
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
return ans
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1])
val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L18_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
ans = []
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L20
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
ans = [] for i in range(k):
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L21
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
ans.append(1) else: ans.append(val) return ans
ans = [] for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
else: ans.append(val) return ans
ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
ans.append(val) return ans
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
return ans
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp)
ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L20_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
for i in range(k):
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L21_L21
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
ans.append(1) else: ans.append(val) return ans
for i in range(k): if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L21_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
else: ans.append(val) return ans
for i in range(k): if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L21_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
ans.append(val) return ans
for i in range(k): if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L21_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
return ans
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L21_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = []
for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L21_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
ans.append(1) else: ans.append(val) return ans
if i % 2 == 0:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L22_L22
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
else: ans.append(val) return ans
if i % 2 == 0: ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L22_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
ans.append(val) return ans
if i % 2 == 0: ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L22_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
return ans
if i % 2 == 0: ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L22_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k):
if i % 2 == 0: ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L22_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
else: ans.append(val) return ans
ans.append(1)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L23_L23
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
ans.append(val) return ans
ans.append(1) else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L23_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
return ans
ans.append(1) else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L23_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0:
ans.append(1) else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L23_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
ans.append(val) return ans
else:
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L24_L24
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
return ans
else: ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L24_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1)
else: ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L24_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
return ans
ans.append(val)
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L25_L25
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else:
ans.append(val) return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L25_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def minPath(grid, k): """ Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through. """ n = len(grid) val = n * n + 1 for i in range(n): for j in range(n): if grid[i][j] == 1: temp = [] if i != 0: temp.append(grid[i - 1][j]) if j != 0: temp.append(grid[i][j - 1]) if i != n - 1: temp.append(grid[i + 1][j]) if j != n - 1: temp.append(grid[i][j + 1]) val = min(temp) ans = [] for i in range(k): if i % 2 == 0: ans.append(1) else: ans.append(val)
return ans
[ [ "[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3", "[1, 2, 1]" ], [ "[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1", "[1]" ], [ "[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4", "[1, 2, 1, 2]" ], [ "[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7", "[1, 10, 1, 10, 1, 10, 1]" ], [ "[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5", "[1, 7, 1, 7, 1]" ], [ "[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9", "[1, 6, 1, 6, 1, 6, 1, 6, 1]" ], [ "[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12", "[1, 6, 1, 6, 1, 6, 1, 6, 1, 6, 1, 6]" ], [ "[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8", "[1, 3, 1, 3, 1, 3, 1, 3]" ], [ "[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8", "[1, 5, 1, 5, 1, 5, 1, 5]" ], [ "[[1, 2], [3, 4]], 10", "[1, 2, 1, 2, 1, 2, 1, 2, 1, 2]" ], [ "[[1, 3], [3, 2]], 10", "[1, 3, 1, 3, 1, 3, 1, 3, 1, 3]" ] ]
[]
[ [ "[[1,2,3], [4,5,6], [7,8,9]], 3", "[1, 2, 1]" ], [ "[[5,9,3], [4,1,6], [7,8,2]], 1", "[1]" ] ]
minPath
MultiLineInfilling/HumanEval/129/L26_L26
Given a grid with N rows and N columns (N >= 2) and a positive integer k, each cell of the grid contains a value. Every integer in the range [1, N * N] inclusive appears exactly once on the cells of the grid. You have to find the minimum path of length k in the grid. You can start from any cell, and in each step you can move to any of the neighbor cells, in other words, you can go to cells which share an edge with you current cell. Please note that a path of length k means visiting exactly k cells (not necessarily distinct). You CANNOT go off the grid. A path A (of length k) is considered less than a path B (of length k) if after making the ordered lists of the values on the cells that A and B go through (let's call them lst_A and lst_B), lst_A is lexicographically less than lst_B, in other words, there exist an integer index i (1 <= i <= k) such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have lst_A[j] = lst_B[j]. It is guaranteed that the answer is unique. Return an ordered list of the values on the cells that the minimum path go through.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L0
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0: return [1]
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L1
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0: return [1] my_tri = [1, 3]
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L2
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0: return [1] my_tri = [1, 3] for i in range(2, n + 1):
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L3
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0: return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L4
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0: return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L5
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
if n == 0: return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L6
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
return my_tri
if n == 0: return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L7
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """
if n == 0: return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L0_L8
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
return [1]
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L1
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
return [1] my_tri = [1, 3]
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L2
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
return [1] my_tri = [1, 3] for i in range(2, n + 1):
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L3
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L4
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L5
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L6
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
return my_tri
return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L7
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0:
return [1] my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L1_L8
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
my_tri = [1, 3]
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L2
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
my_tri = [1, 3] for i in range(2, n + 1):
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L3
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L4
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L5
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L6
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
return my_tri
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L7
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1]
my_tri = [1, 3] for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L2_L8
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1] my_tri = [1, 3]
if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
for i in range(2, n + 1):
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L3_L3
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1] my_tri = [1, 3]
my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
for i in range(2, n + 1): if i % 2 == 0:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L3_L4
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1] my_tri = [1, 3]
else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L3_L5
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1] my_tri = [1, 3]
my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2) return my_tri
for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else:
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L3_L6
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python
def tri(n): """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd. """ if n == 0: return [1] my_tri = [1, 3]
return my_tri
for i in range(2, n + 1): if i % 2 == 0: my_tri.append(i / 2 + 1) else: my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
[ [ "3", "[1, 3, 2.0, 8.0]" ], [ "4", "[1, 3, 2.0, 8.0, 3.0]" ], [ "5", "[1, 3, 2.0, 8.0, 3.0, 15.0]" ], [ "6", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]" ], [ "7", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]" ], [ "8", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]" ], [ "9", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]" ], [ "20", "[1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]" ], [ "0", "[1]" ], [ "1", "[1, 3]" ] ]
[]
[ [ "1", "3" ], [ "n", "1 + n / 2, if n is even." ], [ "n", "tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd." ], [ "2", "1 + (2 / 2) = 2" ], [ "4", "3" ], [ "3", "tri(2) + tri(1) + tri(4)" ], [ "3", "[1, 3, 2, 8]" ] ]
tri
MultiLineInfilling/HumanEval/130/L3_L7
Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in the last couple centuries. However, what people don't know is Tribonacci sequence. Tribonacci sequence is defined by the recurrence: tri(1) = 3 tri(n) = 1 + n / 2, if n is even. tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
HumanEval_MultiLineInfilling
code_infilling
[]
python
python