Question:
Firstly, design a class **MN** using the Python language, which has an instance attribute **nums**, a private function **private_Maximum_number**, and a public function **public_Maximum_number**. Then, implement the following problem in the private function **private_Maximum_number**. Finally, call the private function **private_Maximum_number** in the public function **public_Maximum_number** to return the result.
Problem: Given an integer array **nums**, you can perform some operations on it. In each operation, choose any nums[i], delete it and get the points of nums[i]. After that, you must delete all elements equal to nums[i]-1 and nums[i]+1. Initially, you have 0 points. Return the maximum points that can be obtained through these operations.

assert candidate([3,4,2])==6
assert candidate([2,2,3,3,3,4])==9

def test_run(content1):
    return MN(content1).public_Maximum_number()

assert candidate([['class MN', 'def _private_Maximum_number', 'def public_Maximum_number'], ['class MN', 'def __private_Maximum_number', 'def public_Maximum_number']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **NN** using the Python language, which has instance attributes **times**, **n** and **k**, a private function **private_network_node**, and a public function **public_network_node**. Then, implement the following problem in the private function **private_network_node**. Finally, call the private function **private_network_node** in the public function **public_network_node** to return the result.
Problem: There are **n** network nodes, labeled from 1 to n. Given a list **times**, which represents the transmission time of signals passing through directed edges. times[i] = (u_i, v_i, w_i), where **u_i** is the source node, **v_i** is the target node, and **w_i** is the time it takes for a signal to pass from the source node to the target node. Now, a signal is sent from a certain node **K**, how long will it take for all nodes to receive the signal? If not all nodes can receive the signal, return -1.

def test_run(content1,content2,content3):
    return NN(content1,content2,content3).public_network_node()

assert candidate([['class NN', 'def _private_network_node', 'def public_network_node'], ['class NN', 'def __private_network_node', 'def public_network_node']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design an **INA** class using Python language, which has an instance attribute **target**, a private function **private_Infinite_number_axis**, and a public function **public_Infinite_number_axis**. Then, implement the following problem in the private function **private_Infinite_number_axis**. Finally, call the private function **private_Infinite_number_axis** in the public function **public_Infinite_number_axis** to return the result.
Problem: On an infinitely long number axis, you stand at position 0, and the endpoint is at the **target** position. You can make a certain number of moves **numMoves**: each time you can choose to move left or right, and for the i-th move (from i==1 to i==numMoves), you walk **i** steps in the chosen direction. Given an integer **target**, return the minimum number of moves required to reach the target (i.e., the minimum **numMoves**).

assert candidate(2)==3
assert candidate(3)==2

def test_run(content1):
    return INA(content1).public_Infinite_number_axis()

assert candidate([['class INA', 'def _private_Infinite_number_axis', 'def public_Infinite_number_axis'], ['class INA', 'def __private_Infinite_number_axis', 'def public_Infinite_number_axis']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design an **IC** class using Python language, which has an instance attribute **intervals**, a private function **private_Include_Collection**, and a public function **public_Include_Collection**. Then, implement the following problem in the private function **private_Include_Collection**. Finally, call the private function **private_Include_Collection** in the public function **public_Include_Collection** to return the result.
Problem: Given a two-dimensional integer array **intervals**, where intervals[i] = [start_i, end_i] represents all integers from **start_i** to **end_i**, including **start_i** and **end_i**. The inclusion set is an array named **nums**, and it satisfies that each interval in **intervals** has at least two integers in **nums**. Return the possible minimum size of the inclusion set.

def test_run(content1):
    return IC(content1).public_Include_Collection()

assert candidate([['class IC', 'def _private_Include_Collection', 'def public_Include_Collection'], ['class IC', 'def __private_Include_Collection', 'def public_Include_Collection']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **SP** using Python language, which has an instance attribute **s**, a private function **private_String_partitioning**, and a public function **public_String_partitioning**. Then, implement the following problem in the private function **private_String_partitioning**. Finally, call the private function **private_String_partitioning** in the public function **public_String_partitioning** to return the result.
Problem: Given a string **s**, partition this string into as many segments as possible, with the same letter appearing at most once in a segment, and return a list representing the length of each string segment.
The partition result needs to satisfy: concatenating all partition results in order, the string obtained is still **s**.

def test_run(content1):
    return SP(content1).public_String_partitioning()

assert candidate([['class SP', 'def _private_String_partitioning', 'def public_String_partitioning'], ['class SP', 'def __private_String_partitioning', 'def public_String_partitioning']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a **PS** class using Python language, which has instance attributes **n** and **mines**, a private function **private_Plus_sign**, and a public function **public_Plus_sign**. Then, implement the following problem in the private function **private_Plus_sign**. Finally, call the private function **private_Plus_sign** in the public function **public_Plus_sign** to return the result.
Problem: In an n x n matrix **grid**, every element is 1 except for the elements given as 0 in the array **mines**. mines[i]=[x_i,y_i] indicates grid[x_i][y_i]==0. Return the order of the largest axis-aligned plus sign of 1s in **grid**. If no plus sign is found, return 0.

assert candidate(5,[[4, 2]])==2
assert candidate(1,[[0, 0]])==0

def test_run(content1,content2):
    return PS(content1,content2).public_Plus_sign()

assert candidate([['class PS', 'def _private_Plus_sign', 'def public_Plus_sign'], ['class PS', 'def __private_Plus_sign', 'def public_Plus_sign']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design an **ES** class using Python language, which has an instance attribute **row**, a private function **private_Exchange_seats**, and a public function **public_Exchange_seats**. Then, implement the following problem in the private function **private_Exchange_seats**. Finally, call the private function **private_Exchange_seats** in the public function **public_Exchange_seats** to return the result.
Problem: There are **n** pairs of couples sitting on **2n** seats arranged in a row, and they want to hold each other's hands. People and seats are represented by an integer array **row**, where row[i] is the ID of the person sitting in the i-th seat. The couples are numbered in order, the first pair is (0, 1), the second pair is (2, 3), and so on, the last pair is (2n-2, 2n-1). Return the minimum number of seat swaps so that each couple can sit together side by side. You can choose any two people for each swap, and have them stand up and exchange seats.

assert candidate([0,2,1,3])==1
assert candidate([3,2,0,1])==0

def test_run(content1):
    return ES(content1).public_Exchange_seats()

assert candidate([['class ES', 'def _private_Exchange_seats', 'def public_Exchange_seats'], ['class ES', 'def __private_Exchange_seats', 'def public_Exchange_seats']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question: Firstly, design a **JM** class using Python language, which has an instance attribute **matrix**, a private function **private_judgment_matrix**, and a public function **public_judgment_matrix**. Then, in the private function **private_judgment_matrix**, determine whether a given m x n **matrix** is a Toeplitz matrix. If it is, return True; otherwise, return False. Finally, call the private function **private_judgment_matrix** in the public function **public_judgment_matrix** to return the result.

def test_run(content1):
    return JM(content1).public_judgment_matrix()

assert candidate([['class JM', 'def _private_judgment_matrix', 'def public_judgment_matrix'], ['class JM', 'def _private_judgment_matrix', 'def public_judgment_matrix']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
First, design an **RL** class using the Python language, which has an instance attribute **s**, a private function **private_Rearrange_letters**, and a public function **public_Rearrange_letters**. Then, implement the following problem in the private function **private_Rearrange_letters**. Finally, call the private function **private_Rearrange_letters** in the public function **public_Rearrange_letters** to return the result.
Problem: Given a string **s**, check if it is possible to rearrange its letters so that no two adjacent characters are the same. Return any possible rearrangement of **s**. If it is not feasible, return an empty string "".

assert candidate("aab")=="aba"
assert candidate("aaab")==""

def test_run(content1):
    return RL(content1).public_Rearrange_letters()

assert candidate([['class RL', 'def _private_Rearrange_letters', 'def public_Rearrange_letters'], ['class RL', 'def _private_Rearrange_letters', 'def public_Rearrange_letters']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design an **MNB** class using the Python language, which has an instance attribute **arr**, a private function **private_Maximum_number_blocks**, and a public function **public_Maximum_number_blocks**. Then, implement the following problem in the private function **private_Maximum_number_blocks**. Finally, call the private function **private_Maximum_number_blocks** in the public function **public_Maximum_number_blocks** to return the result.
Problem: Given an integer array **arr**, split **arr** into several chunks, and sort these chunks separately. Then connect them together so that the result of the connection is the same as the original array sorted in ascending order. Return the maximum number of chunks that the array can be divided into.

def test_run(content1):
    return MNB(content1).public_Maximum_number_blocks()

assert candidate([['class MNB', 'def _private_Maximum_number_blocks', 'def public_Maximum_number_blocks'], ['class MNB', 'def __private_Maximum_number_blocks', 'def public_Maximum_number_blocks']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class named **SS** using Python language, which includes an instance attribute **arr**, a private function **private_Sort_separately**, and a public function **public_Sort_separately**. Then, implement the following problem in the private function **private_Sort_separately**. Finally, call the private function **private_Sort_separately** in the public function **public_Sort_separately** and return the result.
Problem: Given an integer array **arr** of length **n**, which represents the permutation of integers in the range [0, n - 1], divide **arr** into several blocks (i.e., partitions) and sort each block separately. After connecting them, make the result of the connection the same as the original array sorted in ascending order, and return the maximum number of blocks that the array can be divided into.

def test_run(content1):
    return SS(content1).public_Sort_separately()

assert candidate([['class SS', 'def _private_Sort_separately', 'def public_Sort_separately'], ['class SS', 'def __private_Sort_separately', 'def public_Sort_separately']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **SPB** using Python language, which has an instance attribute **board**, a private function **private_Solving_puzzle_board**, and a public function **public_Solving_puzzle_board**. Then, implement the following problem in the private function **private_Solving_puzzle_board**. Finally, call the private function **private_Solving_puzzle_board** in the public function **public_Solving_puzzle_board** to return the result.
Problem: On a 2 x 3 **board**, there are 5 tiles represented by numbers 1~5, and an empty space represented by 0. A move is defined as swapping 0 with an adjacent number (up, down, left, or right). The puzzle is solved when the **board** result is [[1,2,3],[4,5,0]]. Given an initial state of the puzzle **board**, return the minimum number of moves to solve the puzzle. If the puzzle cannot be solved, return -1.

def test_run(content1):
    return SPB(content1).public_Solving_puzzle_board()

assert candidate([['class SPB', 'def _private_Solving_puzzle_board', 'def public_Solving_puzzle_board'], ['class SPB', 'def __private_Solving_puzzle_board', 'def public_Solving_puzzle_board']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **LI** using Python language, which has an instance attribute **nums**, a private function **private_Local_inversion**, and a public function **public_Local_inversion**. Then, implement the following problem in the private function **private_Local_inversion**. Finally, call the private function **private_Local_inversion** in the public function **public_Local_inversion** and return the result.
Problem: Given an integer array **nums** of length **n**, representing a permutation composed of all integers within the range [0, n - 1]. The number of global inversions is equal to the number of different index pairs (i, j) that satisfy the following conditions: 1. 0 <= i < j < n; 2. nums[i] > nums[j]; The number of local inversions is equal to the number of indexes **i** that satisfy the following conditions: 1. 0 <= i < n - 1; 2. nums[i] > nums[i + 1]; When the number of global inversions in the array **nums** equals the number of local inversions, return True; otherwise, return False.

assert candidate([1,0,2])==True
assert candidate([1,2,0])==False

def test_run(content1):
    return LI(content1).public_Local_inversion()

assert candidate([['class LI', 'def _private_Local_inversion', 'def public_Local_inversion'], ['class LI', 'def __private_Local_inversion', 'def public_Local_inversion']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **GS** using the Python language, which has an instance attribute **grid**, a private function **private_Grid_swimming**, and a public function **public_Grid_swimming**. Then, implement the following problem in the private function **private_Grid_swimming**. Finally, call the private function **private_Grid_swimming** in the public function **public_Grid_swimming** to return the result.
Problem: In an n x n integer matrix **grid**, each cell's value grid[i][j] represents the platform height at position (i, j). When it starts to rain, the water level in the pool is **t** at time **t**. You can swim to any adjacent platform, but the prerequisite is that the water level must submerge these two platforms at the same time. Assuming you can move an infinite distance instantly, that is, it is assumed that swimming within the grid does not consume time. Of course, you must stay within the coordinate grid while swimming. You start from the top-left platform (0,0) of the coordinate grid, and return the minimum time required to reach the bottom-right platform (n-1, n-1) of the coordinate grid.

def test_run(content1):
    return GS(content1).public_Grid_swimming()

assert candidate([['class GS', 'def _private_Grid_swimming', 'def public_Grid_swimming'], ['class GS', 'def __private_Grid_swimming', 'def public_Grid_swimming']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a **GNR** class using Python language, which has instance attributes **n** and **k**, a private function **private_Given_number_rows**, and a public function **public_Given_number_rows**. Then, implement the following problem in the private function **private_Given_number_rows**. Finally, call the private function **private_Given_number_rows** in the public function **public_Given_number_rows** to return the result.
Problem: We have constructed a table with **n** rows (indexed from 1). Initially, we write a 0 on the first row. For each subsequent row, we replace 0 with 01 and 1 with 10 in the previous row. Given the row number **n** and the ordinal **k**, return the k-th character (k indexed from 1) in the n-th row.

assert candidate(1,1)==0
assert candidate(2,1)==0
assert candidate(2,2)==1

def test_run(content1,content2):
    return GNR(content1,content2).public_Given_number_rows()

assert candidate([['class GNR', 'def _private_Given_number_rows', 'def public_Given_number_rows'], ['class GNR', 'def __private_Given_number_rows', 'def public_Given_number_rows']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a **CN** class using Python language, which has instance attributes **sx**, **sy**, **tx**, and **ty**, a private function **private_Convert_numbers**, and a public function **public_Convert_numbers**. Then, implement the following problem in the private function **private_Convert_numbers**. Finally, call the private function **private_Convert_numbers** in the public function **public_Convert_numbers** to return the result.
Problem: Given four integers **sx**, **sy**, **tx**, and **ty**. If it is possible to reach the endpoint (tx, ty) from the starting point (sx, sy) through a series of transformations, return True, otherwise return False. From point (x, y), it can be transformed to either (x, x+y) or (x+y, y).

assert candidate(1,1,3,5)==True
assert candidate(1,1,2,2)==False
assert candidate(1,1,1,1)==True

def test_run(content1,content2,content3,content4):
    return CN(content1,content2,content3,content4).public_Convert_numbers()

assert candidate([['class CN', 'def _private_Convert_numbers', 'def public_Convert_numbers'], ['class CN', 'def __private_Convert_numbers', 'def public_Convert_numbers']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
First, design a class **FR** using the Python language, which has an instance attribute **answers**, a private function **private_Forest_Rabbit**, and a public function **public_Forest_Rabbit**. Then, implement the following problem in the private function **private_Forest_Rabbit**. Finally, call the private function **private_Forest_Rabbit** in the public function **public_Forest_Rabbit** to return the result.
Problem: There is an unknown number of rabbits in the forest. Ask some of the rabbits **how many other rabbits have the same color as you (referring to the rabbit being asked)**, and collect the answers into an integer array **answers**, where answers[i] is the answer of the i-th rabbit.
Given the array **answers**, return the minimum number of rabbits in the forest.

assert candidate([1,1,2])==5
assert candidate([10,10,10])==11

def test_run(content1):
    return FR(content1).public_Forest_Rabbit()

assert candidate([['class FR', 'def _private_Forest_Rabbit', 'def public_Forest_Rabbit'], ['class FR', 'def __private_Forest_Rabbit', 'def public_Forest_Rabbit']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **NM** using the Python language, which has an instance attribute **board**, a private function **private_Network_Matrix**, and a public function **public_Network_Matrix**. Then, implement the following problem in the private function **private_Network_Matrix**. Finally, call the private function **private_Network_Matrix** in the public function **public_Network_Matrix** to return the result.
Problem: A n x n two-dimensional network **board** is composed only of 0 and 1. In each move, you can freely swap the positions of two columns or two rows. Return the minimum number of moves required to transform this matrix into a **chessboard**. If there is no feasible transformation, output -1.

def test_run(content1):
    return NM(content1).public_Network_Matrix()

assert candidate([['class NM', 'def _private_Network_Matrix', 'def public_Network_Matrix'], ['class NM', 'def __private_Network_Matrix', 'def public_Network_Matrix']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **CC** using Python language, which has an instance attribute **s**, a private function **private_Change_Case**, and a public function **public_Change_Case**. Then, implement the following problem in the private function **private_Change_Case**. Finally, call the private function **private_Change_Case** in the public function **public_Change_Case** to return the result.
Problem: Given a string **s**, by changing the case of each letter in the string **s**, we can obtain a new string. Return the set of all possible strings that can be obtained.

def test_run(content1):
    return CC(content1).public_Change_Case()

assert candidate([['class CC', 'def _private_Change_Case', 'def public_Change_Case'], ['class CC', 'def __private_Change_Case', 'def public_Change_Case']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **MS** using the Python language, which has instance attributes **arr** and **k**, a private function **private_Minimum_score**, and a public function **public_Minimum_score**. Then, implement the following problem in the private function **private_Minimum_score**. Finally, call the private function **private_Minimum_score** in the public function **public_Minimum_score** to return the result.
Problem: Given an array **arr** sorted in ascending order and an integer **k**. The array **arr** is composed of 1 and several prime numbers, and all integers in it are different from each other. For each pair of **i** and **j** satisfying 0 <= i < j < arr.length, a score can be obtained as arr[i]/arr[j]. So, what is the k-th smallest score?

def test_run(content1,content2):
    return MS(content1,content2).public_Minimum_score()

assert candidate([['class MS', 'def _private_Minimum_score', 'def public_Minimum_score'], ['class MS', 'def __private_Minimum_score', 'def public_Minimum_score']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a **PM** class using Python language, which has instance attributes **order** and **s**, a private function **private_Permutation_matching**, and a public function **public_Permutation_matching**. Then, implement the following problem in the private function **private_Permutation_matching**. Finally, call the private function **private_Permutation_matching** in the public function **public_Permutation_matching** to return the result.
Problem: Given two strings, **order** and **s**, all the letters in **order** are unique and have been sorted in some custom order. Permute the characters of **s** to match the sorted **order**. More specifically, if character **x** appears before character **y** in **order**, then in the permuted string, **x** should also appear before **y**. Return any permutation of **s** that satisfies this property.

def test_run(content1,content2):
    return PM(content1,content2).public_Permutation_matching()

assert candidate([['class PM', 'def _private_Permutation_matching', 'def public_Permutation_matching'], ['class PM', 'def _private_Permutation_matching', 'def public_Permutation_matching']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question: Firstly, design a class **NW** using the Python language, which has instance attributes **s** and **words**, a private function **private_Number_words**, and a public function **public_Number_words**. Then, in the private function **private_Number_words**, return the number of words in words[i] that are subsequences of the given string **s** based on the given string **s** and the number of strings **words**. Finally, in the public function **public_Number_words**, call the private function **private_Number_words** to return the result.

def test_run(content1,content2):
    return NW(content1,content2).public_Number_words()

assert candidate([['class NW', 'def _private_Number_words', 'def public_Number_words'], ['class NW', 'def __private_Number_words', 'def public_Number_words']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Firstly, design a class **NI** using Python language, which has an instance attribute **k**, a private function **private_nonnegative_integer**, and a public function **public_nonnegative_integer**. Then, implement the following problem in the private function **private_nonnegative_integer**. Finally, call the private function **private_nonnegative_integer** in the public function **public_nonnegative_integer** to return the result.
Problem: f(x) is the number of zeros at the end of x!, recall that x! = 1*2*3*...*x, and 0! = 1. Given **k**, find the number of non-negative integers **x** that can satisfy f(x) = k.

assert candidate(0)==5
assert candidate(5)==0
assert candidate(3)==5

def test_run(content1):
    return NI(content1).public_nonnegative_integer()

assert candidate([['class NI', 'def _private_nonnegative_integer', 'def public_nonnegative_integer'], ['class NI', 'def __private_nonnegative_integer', 'def public_nonnegative_integer']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an integer array **nums** and two integers **left** and **right**. Find the number of subarrays in **nums** that are continuous, non-empty, and have the maximum element within the range [left, right].
 Please create a class called FDSB in Python based on the above problem, with the **nums** attribute. Then create a class called **SN_FDSB** that inherits from the **FDSB** class, and add two attributes **left** and **right**, as well as a public function called **find_subarray** that checks and returns the number of subarrays in **nums** that are continuous, non-empty, and have the maximum element within the range [left, right].

def test_run(content1,content2,content3):
    return SN_FDSB(content1,content2,content3).find_subarray()

assert candidate([['class FDSB', 'def find_subarray', 'super().__init__(nums)', 'def find_subarray']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an integer array **nums** and two integers: **left** and **right**. Find the continuous, non-empty subarrays in **nums** where the maximum element is within the range [left, right] and return the number of such subarrays that meet the conditions.
Based on the above question, create a class **FDSB** in Python language with the attribute **nums**; then create another class **SN_FDSB** that inherits from the **FDSB** class, and add two attributes **left** and **right**, as well as a public function **find_subarray** to determine and return the number of continuous, non-empty subarrays in **nums** where the maximum element is within the range [left, right].

def test_run(content1,content2,content3):
    return SN_FDSB(content1,content2,content3).find_subarray()

assert candidate([['class FDSB', 'class SN_FDSB(FDSB)', 'super().__init__(nums)', 'def find_subarray']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a directed acyclic graph (DAG) with **n** nodes, find and output all paths from node 0 to node n-1;
Based on the above question, create a class **PO** in Python with the attribute **graph**; then create another class **SN_PO**, inheriting from the **PO** class, and add a public function **Path_output** to return all paths from node 0 to node n-1 in the **n** nodes.

def test_run(content1):
    return SN_PO(content1).Path_output()

assert candidate([['class PO', 'class SN_PO(PO)', 'super().__init__(graph)', 'def Path_output']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given two integer arrays **nums1** and **nums2** of equal length and not empty. In one operation, you can swap the elements of nums1[i] and nums2[i]. For example, if nums1=[1,2,3,8], nums2=[5,6,7,4], you can swap the element at i=3 to get nums1=[1,2,3,4] and nums2=[5,6,7,8]. Return the minimum number of operations required to make **nums1** and **nums2** strictly increasing;
Based on the above question, create a class **EE** in Python language with the attribute **nums1**; then create a class **SN_EE** that inherits the **EE** class, and add the attribute **nums2**, as well as a public function **Exchange_Elements** to return the minimum number of operations required to make **nums1** and **nums2** strictly increasing.

def test_run(content1,content2):
    return SN_EE(content1,content2).Exchange_Elements()

assert candidate([['class EE', 'class SN_EE(EE)', 'super().__init__(nums1)', 'def Exchange_Elements']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a directed graph with **n** nodes numbered from 0 to n-1, the graph is represented by a 2D integer array **graph** indexed from 0, where graph[i] is an integer array of nodes adjacent to node **i**, meaning there is an edge from node **i** to each node in **graph[i]**. If a node has no outgoing directed edges, it is a **terminal node**. If all possible paths starting from this node lead to a terminal node, then this node is a **safe node**. Return an array consisting of all the safe nodes in the graph as the answer. The elements in the answer array should be sorted in ascending order;
Based on the above question, please create a class **SND** in Python with the property **graph**; then create a class **SN_SND** that inherits from the **SND** class, and add a public function **secure_node** to return an array of all the safe nodes in the graph sorted in ascending order.

def test_run(content1):
    return SN_SND(content1).secure_node()

assert candidate([['class SND', 'class SN_SND(SND)', 'super().__init__(graph)', 'def secure_node']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There is an m x n binary **grid**, where 1 represents a brick and 0 represents a blank. The premise for a brick to be stable (not falling) is: a brick is directly connected to the top of the grid, or at least one adjacent (one of the four directions) brick is stable and will not fall. Given an array **hits**, this is the position where the bricks need to be eliminated in order. Whenever the brick at the position hits[i]=(row_i, col_i) is eliminated, the corresponding brick (if it exists) will disappear, and then other bricks may fall due to this elimination operation. Once the brick falls, it will immediately disappear from the grid (it will not fall on other stable bricks). Return an array **result**, where result[i] represents the number of bricks falling corresponding to the i-th elimination operation;
Based on the above question, please create a class **NBS** in Python language with the property **grid**; then create a class **SN_NBS** that inherits the **NBS** class, and add the property **hits**, and a public function **Number_bricks** to return the array **result** representing the number of bricks falling corresponding to the elimination operation.

def test_run(content1,content2):
    return SN_NBS(content1,content2).Number_bricks()

assert candidate([['class NBS', 'class SN_NBS(NBS)', 'super().__init__(grid)', 'def Number_bricks']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an integer array **nums**. Move each element in the **nums** array to array **A** or array **B**, ensuring that arrays **A** and **B** are not empty, and average(A) == average(B). If it can be completed, return True, otherwise return False;
Based on the above question, please create a class **EMT** in Python, with the attribute **nums**; then create another class **SN_EMT** that inherits from the **EMT** class, and add a public function **Element_Movement** to determine whether it can be completed.

def test_run(content1):
    return SN_EMT(content1).Element_Movement()

assert candidate([['class EMT', 'class SN_EMT(EMT)', 'super().__init__(nums)', 'def Element_Movement']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an array **nums** and an integer **k**. We divide the given array **nums** into at most **k** non-empty subarrays, and the array is continuous. The score is composed of the sum of the averages within each subarray. Return the maximum score that can be obtained;
Based on the above question, use Python language to create a class **MSE** with the attribute **nums**; then create a class **SN_MSE**, inheriting from the **MSE** class, and add the attribute **k**, as well as a public function **Maximum_score** to return the maximum score that can be obtained.

def test_run(content1,content2):
    return SN_MSE(content1,content2).Maximum_score()

assert candidate([['class MSE', 'class SN_MSE(MSE)', 'super().__init__(nums)', 'def Maximum_score']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an array **routes**, representing a series of bus routes, where each routes[i] represents a bus route, the i-th bus will circulate on it. For example, the route routes[0]=[1,5,7] indicates that the 0-th bus will always travel in the sequence of 1->5->7->1->5->7->1->... Now starting from the **source** station (not initially on the bus), you want to go to the **target** station. During this period, you can only take the bus. Find the minimum number of buses to take. If it is impossible to reach the terminal station, return -1;
Based on the above question, please use Python to create a class **TSN** with the attribute **routes**; then create a class **SN_TSN** that inherits from the **TSN** class, and add two attributes **source** and **target**, as well as a public function **Terminal_Station** to return the minimum number of buses to take.

def test_run(content1,content2,content3):
    return SN_TSN(content1,content2,content3).Terminal_Station()

assert candidate([['class TSN', 'class SN_TSN(TSN)', 'super().__init__(routes)', 'def Terminal_Station']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There are some two-dimensional coordinates, such as (1,3) or (2,0.5), and then we remove all commas, decimal points, and spaces to get a string **S**. Return all possible original strings to a list. The original coordinate notation will not have extra zeros, so there will be no **00**, **0.0**, **0.00**, **1.0**, **001**, **00.01** or some other smaller numbers to represent coordinates. In addition, there is at least one number before a decimal point, so there will be no **.1** form of numbers. Note that there is a space between the two returned numbers (after the comma);
Please create a class **AOR** based on the above problem using Python language, with the attribute **s**; then create a class **SN_AOR** that inherits the **AOR** class, and add a public function **Any_order** to return all possible original strings in any order to a list after removing all commas, decimal points, and spaces from the string **S**.

def test_run(content1):
    return SN_AOR(content1).Any_order()

assert candidate([['class AOR', 'class SN_AOR(AOR)', 'super().__init__(s)', 'def Any_order']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: The valid encoding of the word array **words** consists of any mnemonic string **s** and index array **indices**, and meets the following requirements:
1. words.length == indices.length
2. The mnemonic string **s** ends with the character '#'
3. For each index indices[i], a substring of **s** that starts from indices[i] and ends at the next '#' character (but does not include '#') exactly equals to words[i]. Given a word array **words**, return the length of the smallest mnemonic string **s** that successfully encodes **words**;
Based on the above question, please create a class **ECG** in Python with the attribute **words**; then create a class **SN_ECG** that inherits the **ECG** class, and add a public function **efficient_coding** to return the length of the smallest mnemonic string **s** that successfully encodes **words**.

assert candidate(["time", "me", "bell"])==10

def test_run(content1):
    return SN_ECG(content1).efficient_coding()

assert candidate([['class ECG', 'class SN_ECG(ECG)', 'super().__init__(words)', 'def efficient_coding']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a string **s** and a character **c**, where **c** is a character that appears in **s**. Return an integer array **answer**, where answer.length == s.length and answer[i] is the distance from index **i** in **s** to the nearest character **c**;
Based on the above question, please create a class **CDC** in Python, with the attribute **s**; then create another class **SN_CDC**, inheriting from the **CDC** class, and add the attribute **c**, as well as a public function **Character_distance** to return an integer array **answer**.

def test_run(content1,content2):
    return SN_CDC(content1,content2).Character_distance()

assert candidate([['class CDC', 'class SN_CDC(CDC)', 'super().__init__(s)', 'def Character_distance']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an array **arr** containing non-repeating integer elements, each integer arr[i] is greater than 1. Use these integers to construct a binary tree, each integer can be used any number of times. Where: the value of each non-leaf node should be equal to the product of the values of its two child nodes. How many binary trees are there that meet the conditions;
Based on the above question, please use Python language to create a class **RIR** with the attribute **arr**; then create a class **SN_RIR** that inherits the **RIR** class, and add a public function **repeating_integer** to return the number of binary trees that meet the conditions.

assert candidate([2, 4])==3
assert candidate([2, 4, 5, 10])==7

def test_run(content1):
    return SN_RIR(content1).repeating_integer()

assert candidate([['class RIR', 'class SN_RIR(RIR)', 'super().__init__(arr)', 'def repeating_integer']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: You have **n** jobs and **m** workers. Given three arrays: **difficulty**, **profit**, and **worker**, where: difficulty[i] represents the difficulty of the i-th job, profit[i] represents the profit of the i-th job. **worker[i]** is the ability of the i-th worker, that is, the worker can only complete jobs with difficulty less than or equal to worker[i]. Each worker can only be assigned one job at most, but one job can be completed multiple times. For example, if three workers all try to complete the same job with a reward of $1, then the total profit is $3. If a worker cannot complete any job, his profit is $0. Return the maximum profit we can get after assigning workers to jobs;
Please create a class **MPT** in Python based on the above question, with the attribute **difficulty**; then create a class **SN_MPT** that inherits the **MPT** class, and add two attributes **profit** and **worker**, as well as a public function **Maximum_profit** to return the maximum profit we can get after assigning **m** workers to **n** jobs.

def test_run(content1,content2,content3):
    return SN_MPT(content1,content2,content3).Maximum_profit()

assert candidate([['class MPT', 'class SN_MPT(MPT)', 'super().__init__(difficulty)', 'def Maximum_profit']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a binary matrix **grid** of size n x n. You are allowed to change at most one 0 to 1. Return the maximum area of an island in the **grid** after this operation;
Please create a class **IAA** in Python based on the above question, with the attribute **grid**. Then create a class **SN_IAA** that inherits from the **IAA** class, and add a public function **Island_area** to return the maximum area of an island in the **grid** after changing one 0 to 1 in the binary matrix **grid**.

def test_run(content1):
    return SN_IAA(content1).Island_area()

assert candidate([['class IAA', 'class SN_IAA(IAA)', 'super().__init__(grid)', 'def Island_area']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Define a function **countUniqueChars** to count the unique characters in string **s**, and return the number of unique characters;
Based on the above question, please create a class **UCR** in Python language with the attribute **s**; then create another class **SN_UCR** that inherits from the **UCR** class, and add a public function **Unique_character** to return the number of unique characters in string **s**.

assert candidate("ABC")==10
assert candidate("ABA")==8
assert candidate("LEETCODE")==92

def test_run(content1):
    return SN_UCR(content1).Unique_character()

assert candidate([['class UCR', 'class SN_UCR(UCR)', 'super().__init__(s)', 'def Unique_character']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a positive integer **n**, return the number of groups of consecutive positive integers that satisfy the sum of all numbers equals **n**;
Based on the above question, please create a class **SNS** in Python, which has an attribute **n**. Then create another class **SN_SNS** that inherits from the **SNS** class, and add a public function **Sum_Numbers** to return the number of groups of consecutive positive integers that satisfy the sum of all numbers equals **n**.

assert candidate(5)==2
assert candidate(9)==3
assert candidate(15)==5

def test_run(content1):
    return SN_SNS(content1).Sum_Numbers()

assert candidate([['class SNS', 'class SN_SNS(SNS)', 'super().__init__(n)', 'def Sum_Numbers']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an undirected, connected tree. The tree has **n** nodes labeled from 0 to n-1 and n-1 edges. Given an integer **n** and an array **edges**, edges[i] = [a_i, b_i] indicates that there is an edge between nodes a_i and b_i in the tree. Return an array answer of length **n**, where answer[i] is the sum of the distances between the i-th node and all other nodes in the tree;
Based on the above question, please create a class **SDC** in Python language with the attribute **n**; then create a class **SN_SDC** that inherits from the **SDC** class, and add the attribute **edges**, as well as a public function **Sum_distances** to return an array **answer** of length **n**.

def test_run(content1,content2):
    return SN_SDC(content1,content2).Sum_distances()

assert candidate([['class SDC', 'class SN_SDC(SDC)', 'super().__init__(n)', 'def Sum_distances']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given two images **img1** and **img2**, both of which are n x n in size and represented by binary square matrices of the same size. The binary matrix is composed only of several 0s and 1s. Transform one of the images by sliding all the 1s to the left, right, up, or down by any number of units; then place it on top of the other image. The overlap of this transformation refers to the number of positions where both images have 1s. Please note that the transformation does not include rotation in any direction. Any 1s that cross the matrix boundary will be cleared. What is the maximum possible number of overlaps?
Based on the above question, please create a class **OQT** in Python with the attribute **img1**; then create another class **SN_OQT** that inherits from the **OQT** class, and add the attribute **img2**, as well as a public function **Overlap_quantity** to return the maximum possible number of overlaps.

def test_run(content1,content2):
    return SN_OQT(content1,content2).Overlap_quantity()

assert candidate([['class OQT', 'class SN_OQT(OQT)', 'super().__init__(img1)', 'def Overlap_quantity']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: A rectangle is represented as a list [x1,y1,x2,y2], where (x1,y1) is the coordinate of the bottom left corner, and (x2,y2) is the coordinate of the top right corner. The top and bottom edges of the rectangle are parallel to the x-axis, and the left and right edges are parallel to the y-axis. If the intersecting area is positive, then the two rectangles are considered to be **overlapping**. It should be clarified that two rectangles that only touch at the corner or edge do not constitute an overlap. Given two rectangles **rec1** and **rec2**. If they overlap, return True; otherwise, return False.
Based on the above question, please create a class **ROP** in Python language with the attribute **rec1**; then create a class **SN_ROP** that inherits from the **ROP** class, and add the attribute **rec2**, as well as a public function **Rectangle_overlap** to determine whether the intersecting area of the two rectangles **rec1** and **rec2** is positive. If it is, return True; otherwise, return False.

def test_run(content1,content2):
    return SN_ROP(content1,content2).Rectangle_overlap()

assert candidate([['class ROP', 'class SN_ROP(ROP)', 'super().__init__(rec1)', 'def Rectangle_overlap']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Alice participates in a game roughly based on the rules of the card game **Blackjack**, described as follows: Alice starts with 0 points, and draws numbers when her score is less than k points. When drawing, she randomly gets an integer from the range [1, maxPts] to accumulate as a score, where **maxPts** is an integer. Each draw is independent, and the results have the same probability. When Alice gets **k** points or more, she stops drawing numbers. What is the probability that Alice's score does not exceed **n**;
Please create a class **ENS** in python language based on the above question, with the attribute **n**; then create a class **SN_ENS**, inheriting from the **ENS** class, and add two attributes **k** and **maxPts**, as well as a public **Extract_Numbers** function to return the probability that Alice's score does not exceed **n**.

def test_run(content1,content2,content3):
    return SN_ENS(content1,content2,content3).Extract_Numbers()

assert candidate([['class ENS', 'class SN_ENS(ENS)', 'super().__init__(n)', 'def Extract_Numbers']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: If two different positions in string **X** are swapped to make it equal to string **Y**, then **X** and **Y** are considered similar. If the two strings are identical, they are also similar. Given a list of strings **strs**, each string in the list is an anagram of all other strings in **strs**. How many similar string groups are there in **strs**;
Based on the above question, create a class **SST** in Python with the attribute **strs**; then create a class **SN_SST** that inherits from the **SST** class, and add a public function **Similar_Strings** to return the number of similar string groups in the string list **strs**.

def test_run(content1):
    return SN_SST(content1).Similar_Strings()

assert candidate([['class SST', 'class SN_SST(SST)', 'super().__init__(strs)', 'def Similar_Strings']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: A 3x3 magic square is a 3x3 matrix filled with distinct numbers from 1 to 9, where the sum of each row, each column, and the two diagonals are equal. Given a grid of row x col composed of integers, how many 3x3 **magic square** submatrices are there? (Each submatrix is continuous);
Based on the above question, please create a **SAX** class in Python with a **grid** attribute; then create a **SN_SAX** class that inherits from the **SAX** class, and add a public **submatrix** function to return the number of 3x3 magic square submatrices.

def test_run(content1):
    return SN_SAX(content1).submatrix()

assert candidate([['class SAX', 'class SN_SAX(SAX)', 'super().__init__(grid)', 'def submatrix']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There are **n** rooms, numbered from 0 to n-1. Initially, all rooms except room 0 are locked. Your goal is to enter all rooms. However, you cannot enter a locked room without obtaining the key. When you enter a room, you may find a set of different keys inside, each key has a corresponding room number, indicating the room that the key can open. You can take all the keys to unlock other rooms. You are given an array **rooms**, where rooms[i] is the set of keys you can get when you enter room **i**. If you can enter all rooms, return True, otherwise return False.
Please create a class **ARS** in Python based on the above question, with the property **rooms**. Then create a class **SN_ARS** that inherits the **ARS** class, and add a public function **All_rooms** to determine whether you can enter all **n** rooms numbered from 0 to n-1. If you can, return True, otherwise return False.

def test_run(content1):
    return SN_ARS(content1).All_rooms()

assert candidate([['class ARS', 'class SN_ARS(ARS)', 'super().__init__(rooms)', 'def All_rooms']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a string of digits **num**, such as "123456579", we can split it into a Fibonacci-like sequence [123,456,579]. Formally, a Fibonacci-like sequence is a list of non-negative integers **f**, satisfying:
1. 0<=f[i]<231, (in other words, each integer conforms to the 32-bit signed integer type). 2. f.length>=3. 3. For all 0<=i<f.length-2, f[i]+f[i+1]=f[i+2]. Also, please note that when splitting the string into chunks, each chunk's number must not start with zero, unless the chunk is the number 0 itself. Return any Fibonacci-like sequence chunks split from num, if it cannot be split, return [].
Based on the above question, please create a class **FEQ** in Python, with the attribute **num**; then create another class **SN_FEQ**, inheriting from the **FEQ** class, and add a public function **Fibonacci_equation** to return any Fibonacci-like sequence chunks split from **num**, if it cannot be split, return [].

def test_run(content1):
    return SN_FEQ(content1).Fibonacci_equation()

assert candidate([['class FEQ', 'class SN_FEQ(FEQ)', 'super().__init__(num)', 'def Fibonacci_equation']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: An array arr is called a mountain array if it meets the following properties:
1. arr.length>=3. 2. There exists an index **i** (0<i<arr.length-1), such that arr[0]<arr[1]<...<arr[i-1]<arr[i] and arr[i]>arr[i+1]>...>arr[arr.length-1]. Given an integer array **arr**, return the length of the longest mountain subarray. If there is no mountain subarray, return 0;
Based on the above question, please create a class **LMN** in Python, which has the property **arr**; then create a class **SN_LMN** that inherits the **LMN** class, and add a public function **Longest_mountain** to return the length of the longest **mountain subarray** in the integer array **arr**. If there is no mountain subarray, return 0.

def test_run(content1):
    return SN_LMN(content1).Longest_mountain()

assert candidate([['class LMN', 'class SN_LMN(LMN)', 'super().__init__(arr)', 'def Longest_mountain']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Alice has a deck of cards in her hand. She wants to rearrange these cards into several groups, each with a group size of **groupSize**, and each group consists of **groupSize** consecutive cards. You are given an integer array **hand** where hand[i] is the value written on the i-th card. If she can rearrange these cards, return True; otherwise, return False.
Based on the above question, please create a class **RRG** in Python, which has the attribute **hand**; then create a class **SN_RRG** that inherits the **RRG** class, and add the attribute **groupSize**, as well as a public function **rearrange** to determine whether Alice can rearrange the deck of cards in her hand into several groups, each with a group size of **groupSize**, and each group consists of **groupSize** consecutive cards.

def test_run(content1,content2):
    return SN_RRG(content1,content2).rearrange()

assert candidate([['class RRG', 'class SN_RRG(RRG)', 'super().__init__(hand)', 'def rearrange']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There exists an undirected connected graph composed of **n** nodes, with the nodes numbered from 0 to n-1. A given array **graph** represents this graph. In it, graph[i] is a list, composed of all nodes directly connected to node **i**. Return the length of the shortest path that can visit all nodes. You can start and stop at any node, revisit nodes multiple times, and reuse edges;
Based on the above question, create a class **TTH** using Python, with the property **graph**; then create another class **SN_TTH** that inherits from the **TTH** class, and add a public function **The_length** to return the length of the shortest path that can visit all nodes.

def test_run(content1):
    return SN_TTH(content1).The_length()

assert candidate([['class TTH', 'class SN_TTH(TTH)', 'super().__init__(graph)', 'def The_length']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There is a string **s** composed of lowercase letters, and an integer array **shifts** of the same length. We call the next letter in the alphabet a **shift** of the original letter (since the alphabet is circular, 'z' will become 'a'). Return the final string obtained after applying all these shifts to **s**;
Based on the above question, please create a class **SAN** in Python language with the attribute **s**; then create a class **SN_SAN** that inherits the **SAN** class, and add the attribute **shifts**, as well as a public function **Shift_application** to return the final string obtained after applying all these shifts to **s**.

assert candidate("abc",[3,5,9])=="rpl"
assert candidate("aaa",[1,2,3])=="gfd"

def test_run(content1,content2):
    return SN_SAN(content1,content2).Shift_application()

assert candidate([['class SAN', 'class SN_SAN(SAN)', 'super().__init__(s)', 'def Shift_application']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an array **seats** representing a row of seats, where seats[i]=1 means someone is sitting in the i-th seat, and seats[i]=0 means the i-th seat is empty (index starts from 0). There is at least one empty seat, and at least one person is already sitting. Alex wants to sit in a seat that maximizes the distance to the nearest person;
Based on the above question, use Python to create a class **ASG** with the attribute **seats**. Then create a class **SN_ASG** that inherits the **ASG** class, and add a public function **Maximized_seating** that returns the maximum distance from Alex to the nearest person.

assert candidate([1,0,0,0,1,0,1])==2
assert candidate([1,0,0,0])==3
assert candidate([0,1])==1

def test_run(content1):
    return SN_ASG(content1).Maximized_seating()

assert candidate([['class ASG', 'class SN_ASG(ASG)', 'super().__init__(seats)', 'def Maximized_seating']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an axis-aligned 2D array **rectangles**. For rectangle[i]=[x1,y1,x2,y2], where (x1,y1) are the coordinates of the bottom left corner of rectangle **i**, (x_i1,y_i1) are the coordinates of the bottom left corner of the rectangle, and (x_i2,y_i2) are the coordinates of the top right corner of the rectangle. Calculate the total area covered by all rectangles in the plane. Any area covered by two or more rectangles should only be counted once, return the total area.
Based on the above question, please create a class **TAR** in Python language with the attribute **rectangles**; then create a class **SN_TAR** that inherits the **TAR** class, and add a public function **total_area** to return the total area covered by all axis-aligned 2D array rectangles in the plane.

def test_run(content1):
    return SN_TAR(content1).total_area()

assert candidate([['class TAR', 'class SN_TAR(TAR)', 'super().__init__(rectangles)', 'def total_area']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: For some non-negative integers **k**, if swapping the positions of two letters in **s1** exactly **k** times can result in a string equal to **s2**, then the similarity of strings **s1** and **s2** is considered to be **k**. Given two anagrams s1 and s2, return the minimum value of the similarity **k** between **s1** and **s2**;
Based on the above question, please create a class named **MVE** using Python, which has an attribute **s1**. Then create another class named **SN_MVE**, inheriting from the **MVE** class, and add an attribute **s2**, as well as a public function **Minimum_value** to return the minimum value of the similarity **k** between the given two anagrams **s1** and **s2**.

assert candidate("ab","ba")==1
assert candidate("abc","bca")==2

def test_run(content1,content2):
    return SN_MVE(content1,content2).Minimum_value()

assert candidate([['class MVE', 'class SN_MVE(MVE)', 'super().__init__(s1)', 'def Minimum_value']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a balanced parentheses string **S**, calculate the score of the string according to the following rules:
1. **()** gets 1 point. 2. **AB** gets A+B points, where A and B are balanced parentheses strings. 3. **(A)** gets 2*A points, where A is a balanced parentheses string.
Based on the above question, please create a class **BPS** in Python, with the attribute **S**. Then create another class **SN_BPS** that inherits from the **BPS** class, and add a public function **Balanced_parentheses** to return the score of a given balanced parentheses string **S** calculated according to the rules.

assert candidate("()")==1
assert candidate("(())")==2
assert candidate("()()")==2
assert candidate("(()(()))")==6

def test_run(content1):
    return SN_BPS(content1).Balanced_parentheses()

assert candidate([['class BPS', 'class SN_BPS(BPS)', 'super().__init__(S)', 'def Balanced_parentheses']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There is a special **square room**, each wall of which has a mirror. Except for the **southwest corner**, there is a receiver in each corner, numbered as 0, 1, and 2. The length of the wall of the square room is **p**, a laser beam is emitted from the southwest corner, and it will first meet the east wall. The distance from the point of incidence to receiver 0 is **q**. Return the number of the receiver that the returned light first encounters (ensure that the light will eventually encounter a receiver);
Based on the above question, please use Python language to create a class **RNE** with the attribute **p**; then create a class **SN_RNE** that inherits the **RNE** class, and add the attribute **q** and a public function **Receiver_number** to return the number of the receiver that the light first encounters.

assert candidate(2,1)==2
assert candidate(3,1)==1

def test_run(content1,content2):
    return SN_RNE(content1,content2).Receiver_number()

assert candidate([['class RNE', 'class SN_RNE(RNE)', 'super().__init__(p)', 'def Receiver_number']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a binary matrix **grid** of size m x n, where each element in the matrix is either 0 or 1. A move is defined as choosing any row or column and flipping the values in that row or column: change all 0s to 1s and all 1s to 0s. After making any number of moves, the score of the matrix is the sum of the numbers obtained by interpreting each row as a binary number. After making any number of moves (including 0), return the possible highest score;
Based on the above question, please create a class **HSE** in Python with the attribute **grid**. Then create a class **SN_HSE** that inherits from the **HSE** class, and add a public function **Highest_Score** to return the possible highest score.

def test_run(content1):
    return SN_HSE(content1).Highest_Score()

assert candidate([['class HSE', 'class SN_HSE(HSE)', 'super().__init__(grid)', 'def Highest_Score']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an integer array **nums** and an integer **k**, find the shortest non-empty subarray in **nums** whose sum is at least **k**, and return the length of this subarray. If such a subarray does not exist, return -1;
Based on the above question, create a class **SEY** in Python, which has the attribute **nums**; then create another class **SN_SEY** that inherits from the **SEY** class, and add the attribute **k**, as well as a public function **Shortest_empty** to return the length of the shortest non-empty subarray in **nums** whose sum is at least **k**.

assert candidate([1],1)==1
assert candidate([1,2],4)==-1
assert candidate([2,-1,2],3)==3

def test_run(content1,content2):
    return SN_SEY(content1,content2).Shortest_empty()

assert candidate([['class SEY', 'class SN_SEY(SEY)', 'super().__init__(nums)', 'def Shortest_empty']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Find the smallest palindrome prime number that is greater than or equal to **N**;
Based on the above question, please create a class **PPM** in Python with an attribute **N**. Then, create another class **SN_PPM** that inherits from the **PPM** class, and add a public function **prime_palindromes** to return the smallest palindrome prime number that is greater than or equal to **N**.

assert candidate(6)==7
assert candidate(8)==11
assert candidate(13)==101

def test_run(content1):
    return SN_PPM(content1).prime_palindromes()

assert candidate([['class PPM', 'class SN_PPM(PPM)', 'super().__init__(N)', 'def prime_palindromes']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given a positive integer **n**, we reorder the digits in any order (including the original order), noting that the leading digit cannot be zero. If we can obtain a power of 2 in this way, return True; otherwise, return False;
Based on the above question, please create a class **NRG** in Python with the attribute **n**; then create a class **SN_NRG** that inherits from the **NRG** class, and add a public function **Number_Reordering** to determine whether reordering the positive integer **n** in any order (including the original order) can result in a power of 2. If it can, return True; otherwise, return False.

assert candidate(1)==True
assert candidate(10)==False

def test_run(content1):
    return SN_NRG(content1).Number_Reordering()

assert candidate([['class NRG', 'class SN_NRG(NRG)', 'super().__init__(n)', 'def Number_Reordering']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given two arrays of equal length, **nums1** and **nums2**, the advantage of **nums1** over **nums2** can be described by the number of indices **i** for which nums1[i] > nums2[i]. Return any permutation of **nums1** that maximizes its advantage over **nums2**;
Based on the above question, create a class **MAS** in Python with the attribute **nums1**. Then create a class **SN_MAS** that inherits from the **MAS** class, and add the attribute **nums2**, as well as a public function **Maximizing_Advantages** that returns any permutation of **nums1** that maximizes its **advantage** over **nums2**.

def test_run(content1,content2):
    return SN_MAS(content1,content2).Maximizing_Advantages()

assert candidate([['class MAS', 'class SN_MAS(MAS)', 'super().__init__(nums1)', 'def Maximizing_Advantages']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: If a sequence X_1, X_2, ..., X_n satisfies the following conditions, it is said to be **Fibonacci-like**:
1. n>=3. 2. For all i+2<=n, we have X_i+X_{i+1}=X_{i+2}. Given a strictly increasing positive integer array forming a sequence **arr**, find the length of the longest Fibonacci-like subsequence in **arr**. If one does not exist, return 0;
Based on the above question, please create a class **PAY** in Python, which has the attribute **arr**; then create a class **SN_PAY** that inherits the **PAY** class, and add a public function **Positive_array** to return the length of the longest Fibonacci-like subsequence in the strictly increasing positive integer array forming the sequence **arr**.

def test_run(content1):
    return SN_PAY(content1).Positive_array()

assert candidate([['class PAY', 'class SN_PAY(PAY)', 'super().__init__(arr)', 'def Positive_array']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Koko loves to eat bananas. There are **n** piles of bananas here, and the i-th pile has piles[i] bananas. The guard has already left and will return in **h** hours. Koko can decide her eating speed **k** (unit: bananas/hour). Every hour, she will choose a pile of bananas and eat **k** bananas from it. If this pile has fewer than **k** bananas, she will eat all the bananas in this pile, and will not eat any more bananas within this hour. Koko likes to eat slowly, but still wants to eat all the bananas before the guard comes back. Return the minimum speed **k** (k is an integer) at which she can eat all the bananas within **h** hours;
Based on the above question, please create a class **MSD** in Python language with the attribute **piles**; then create a class **SN_MSD** that inherits the **MSD** class, and add the attribute **h**, as well as a public function **Minimum_Speed** to return the minimum speed **k** at which Koko can eat all the bananas within **h** hours.

def test_run(content1,content2):
    return SN_MSD(content1,content2).Minimum_Speed()

assert candidate([['class MSD', 'class SN_MSD(MSD)', 'super().__init__(piles)', 'def Minimum_Speed']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: A positive integer is magical if it can be divided by **a** or **b**. Given three integers **n**, **a**, **b**, return the n-th magical number;
Based on the above question, create a class **MNS** in Python with the attribute **n**; then create another class **SN_MNS** that inherits from the **MNS** class, and add two attributes **a** and **b**, as well as a public function **Magical_Numbers** to return the n-th magical number.

assert candidate(1,2,3)==2
assert candidate(4,2,3)==6

def test_run(content1,content2,content3):
    return SN_MNS(content1,content2,content3).Magical_Numbers()

assert candidate([['class MNS', 'class SN_MNS(MNS)', 'super().__init__(n)', 'def Magical_Numbers']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: There are **n** employees in the group, who can complete various jobs to generate profits. The i-th job will generate a profit of profit[i], and it requires group[i] members to participate together. If a member participates in one job, he/she cannot participate in another job. Any subset of jobs that generates at least **minProfit** profit is called a profitable plan. And the total number of job members is up to **n**. How many plans can be chosen;
Based on the above question, please create a class called **PPN** in Python, which has an attribute **n**; then create another class **SN_PPN** that inherits from the **PPN** class, and add three attributes **minProfit**, **group**, and **profit**, as well as a public function **Profit_Plan** that returns the number of profitable plans.

def test_run(content1,content2,content3,content4):
    return SN_PPN(content1,content2,content3,content4).Profit_Plan()

assert candidate([['class PPN', 'class SN_PPN(PPN)', 'super().__init__(n)', 'def Profit_Plan']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an encoded string **S**. You are asked to find the decoded string and write it onto a tape. During the decoding process, read one character from the encoded string at a time, and take the following steps:
1. If the character read is a letter, write it on the tape. 2. If the character read is a number (such as **d**), the entire current tape will be written repeatedly **d-1** times. Now, for the given encoded string **S** and index **K**, find and return the K-th letter in the decoded string;
You are required to create a class **DSG** in Python, which has the attribute **S**; then create another class **SN_DSG** that inherits from the **DSG** class, and add the attribute **K**, as well as a public function **Decode_String** to find and return the K-th letter in the given encoded string **S**.

def test_run(content1,content2):
    return SN_DSG(content1,content2).Decode_String()

assert candidate([['class DSG', 'class SN_DSG(DSG)', 'super().__init__(S)', 'def Decode_String']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: Given an array **people**. people[i] represents the weight of the i-th person, the number of boats is unlimited, and each boat can carry a maximum weight of **limit**. Each boat can carry up to two people at the same time, but the condition is that the sum of these people's weights is at most **limit**. Return the minimum number of boats required to carry all people;
Based on the above question, please create a class **MSS** in Python language with the attribute **people**; then create a class **SN_MSS**, inherit the **MSS** class, and add the attribute **limit**, as well as a public function **Minimum_ships** to return the minimum number of boats required to carry all people.

assert candidate([1,2],3)==1
assert candidate([3,2,2,1],3)==3
assert candidate([3,5,3,4],5)==4

def test_run(content1,content2):
    return SN_MSS(content1,content2).Minimum_ships()

assert candidate([['class MSS', 'class SN_MSS(MSS)', 'super().__init__(people)', 'def Minimum_ships']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False


Question:
Question: In an n x n **grid**, we place some 1 x 1 x 1 cubes aligned with the **x**, **y**, **z** axes. Each value v = grid[i][j] represents **v** cubes stacked on the cell (i, j). Now, we look at the projections of these cubes on the **xy**, **yz**, and **zx** planes. A projection is like a shadow, mapping a three-dimensional shape onto a two-dimensional plane. When we look at the cube from the top, front, and side, we will see the shadow. Return the total area of all three projections;
Please create a class **TPD** based on the above question using Python, with the attribute **grid**; then create a class **SN_TPD**, inheriting from the **TPD** class, and add a public function **Total_projected** to return the total area of all the cubes' projections on the **xy**, **yz**, and **zx** planes.

def test_run(content1):
    return SN_TPD(content1).Total_projected()

assert candidate([['class TPD', 'class SN_TPD(TPD)', 'super().__init__(grid)', 'def Total_projected']]) == True

def matching_function(content):
    def run_match(text):
        for task in text:
            if task not in str_content:
                return False
        return True
    len_cont = len(content)
    if len_cont==1 and run_match(content[0]) == True:
        return True
    elif (len_cont==2 and run_match(content[0]) == True) or (len_cont==2 and run_match(content[1]) == True):
        return True
    else:
        return False