Question:
Question: Given a non-negative integer array **nums** and an integer **target**. By adding '+' or '-' in front of each integer in the array and then concatenating all the integers, an expression can be constructed. Return the number of different expressions that can be constructed in the above way and the calculation result is equal to **target**.
Please use Python language to first design a **DESI** class, with instance attributes **nums** and **target**, a private function **private_Different_expressions**, and a public function **public_Different_expressions**; then implement the above problem in the private function **private_Different_expressions**; finally, call the private function **private_Different_expressions** in the public function **public_Different_expressions** to return the result.

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

def test_run(content1,content2):
    return DESI(content1,content2).public_Different_expressions()

assert candidate([['class DESI', 'def _private_Different_expressions', 'def public_Different_expressions'], ['class DESI', 'def __private_Different_expressions', 'def public_Different_expressions']]) == 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 **DTVL** class using Python language, which has an instance attribute **mat**, a private function **private_Diagonal_traversal**, and a public function **public_Diagonal_traversal**. Then, in the private function **private_Diagonal_traversal**, return all the elements in the m x n matrix **mat** in the order of diagonal traversal using an array. Finally, in the public function **public_Diagonal_traversal**, call the private function **private_Diagonal_traversal** to return the result.

def test_run(content1):
    return DTVL(content1).public_Diagonal_traversal()

assert candidate([['class DTVL', 'def _private_Diagonal_traversal', 'def public_Diagonal_traversal'], ['class DTVL', 'def __private_Diagonal_traversal', 'def public_Diagonal_traversal']]) == 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 circular array **nums** (the next element of nums[nums.length-1] is nums[0]), return the next greater element for each element in **nums**. The next greater element of a number **x** is the first number that is larger than it following the array traversal order, which means you should search for its next greater number in a circular manner. If it does not exist, output -1.
Please use Python to first design an **ATSA** class, with an instance attribute **nums**, a private function **private_Array_traversal**, and a public function **public_Array_traversal**; then implement the above problem in the private function **private_Array_traversal**; finally, call the private function **private_Array_traversal** in the public function **public_Array_traversal** to return the result.

def test_run(content1):
    return ATSA(content1).public_Array_traversal()

assert candidate([['class ATSA', 'def _private_Array_traversal', 'def public_Array_traversal'], ['class ATSA', 'def __private_Array_traversal', 'def public_Array_traversal']]) == 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 **RL** class using the Python language, which has an instance attribute **s**, a private function **private_Return_length**, and a public function **public_Return_length**. Then, in the private function **private_Return_length**, return the length of the longest palindromic subsequence in the string **s**. Finally, in the public function **public_Return_length**, call the private function **private_Return_length** to return the result.

assert candidate("bbbab")==4
assert candidate("cbbd")==2

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

assert candidate([['class RL', 'def _private_Return_length', 'def public_Return_length'], ['class RL', 'def __private_Return_length', 'def public_Return_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: First, design an **NCC** class using the Python language, which has instance attributes **amount** and **coins**, a private function **coin_combinations**, and a public function **public_combinations**. Then, in the private function **coin_combinations**, return the number of coin combinations that can make up the total amount. Finally, in the public function **public_combinations**, call the private function **coin_combinations** to return the result.

assert candidate([1, 2, 5])==4
assert candidate([2])==0
assert candidate([10])==1

def test_run(content1):
    return NCC(content1).public_combinations()

assert candidate([['class NCC', 'def _coin_combinations', 'def public_combinations'], ['class NCC', 'def __coin_combinations', 'def public_combinations']]) == 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 **ML** class using Python language, which has an instance attribute **strs**, a private function **private_Maximum_length**, and a public function **public_Maximum_length**. Then, in the private function **private_Maximum_length**, return the length of the longest special sequence in the string list **strs**. If the longest special sequence does not exist, return -1. Finally, in the public function **public_Maximum_length**, call the private function **private_Maximum_length** to return the result.

def test_run(content1):
    return ML(content1).public_Maximum_length()

assert candidate([['class ML', 'def _private_Maximum_length', 'def public_Maximum_length'], ['class ML', 'def __private_Maximum_length', 'def public_Maximum_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: First, design an **LS** class using the Python language, which has instance attributes **s** and **dictionary**, a private function **private_Longest_string**, and a public function **public_Longest_string**. Then, in the private function **private_Longest_string**, return the longest string in the **dictionary**, which can be obtained by deleting some characters in **s**. If there is more than one answer, return the string with the longest length and the smallest lexicographical order. If there is no answer, return an empty string. Finally, in the public function **public_Longest_string**, call the private function **private_Longest_string** to return the result.

def test_run(content1,content2):
    return LS(content1,content2).public_Longest_string()

assert candidate([['class LS', 'def _private_Longest_string', 'def public_Longest_string'], ['class LS', 'def __private_Longest_string', 'def public_Longest_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: Firstly, design an **AL** class using Python language, which has an instance attribute **nums**, a private function **private_Array_length**, and a public function **public_Array_length**. Then, find the longest consecutive subarray with the same number of 0 and 1 in the private function **private_Array_length**, and return the length of this subarray. Finally, call the private function **private_Array_length** in the public function **public_Array_length** to return the result.

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

def test_run(content1):
    return AL(content1).public_Array_length()

assert candidate([['class AL', 'def _private_Array_length', 'def public_Array_length'], ['class AL', 'def __private_Array_length', 'def public_Array_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:
Firstly, design a class **CQ** using the Python language, which has an instance attribute **n**, a private function **private_Construction_quantity**, and a public function **public_Construction_quantity**. Then, in the private function **private_Construction_quantity**, return the number of beautiful arrangements that can be constructed. Finally, in the public function **public_Construction_quantity**, call the private function **private_Construction_quantity** to return the result.

The condition for a beautiful arrangement is: suppose there are **n** integers from 1 to **n**. Construct an array **perm** (index starts from 1) with these integers. As long as one of the following conditions is met, the array is a beautiful arrangement: 1. perm[i] can be divided by **i**; 2. **i** can be divided by perm[i].

assert candidate(2)==2
assert candidate(1)==1

def test_run(content1):
    return CQ(content1).public_Construction_quantity()

assert candidate([['class CQ', 'def _private_Construction_quantity', 'def public_Construction_quantity'], ['class CQ', 'def __private_Construction_quantity', 'def public_Construction_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: Firstly, design an **RS** class using the Python language, which has an instance attribute **w**, a private function **private_Return_Subscript**, and a public function **public_Return_Subscript**. Then, in the private function **private_Return_Subscript**, randomly select and return a subscript from the range [0, w.length-1] (including 0 and w.length-1), with the probability of selecting subscript **i** being w[i]/sum(w). Finally, in the public function **public_Return_Subscript**, call the private function **private_Return_Subscript** to return the result.

def test_run(content1,content2):
    return RS(content1,content2).public_Return_Subscript()

assert candidate([['class RS', 'def _private_Return_Subscript', 'def public_Return_Subscript'], ['class RS', 'def __private_Return_Subscript', 'def public_Return_Subscript']]) == 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 **MG** using Python language, which has instance attributes **board** and **click**, a private function **private_Minesweeping_game**, and a public function **public_Minesweeping_game**. Then, implement the following problem in the private function **private_Minesweeping_game**. Finally, call the private function **private_Minesweeping_game** in the public function **public_Minesweeping_game** to return the result.
Problem: Please design a minesweeper game represented by an m x n two-dimensional character matrix **board**. 'M', 'E', 'B', and 'X' respectively represent unexcavated mines, empty blocks, excavated blank blocks, and excavated mines. The specific rules are as follows: If a mine ('M') is excavated, the game ends, and it is changed to 'X'. If an empty block ('E') with no adjacent mines is excavated, change it to 'B', and all its adjacent unexcavated blocks should be recursively revealed. If an empty block ('E') adjacent to at least one mine is excavated, change it to a number ('1' to '8'), representing the number of adjacent mines. The requirement is to return the corresponding game board after the corresponding position is clicked.

def test_run(content1,content2):
    return MG(content1,content2).public_Minesweeping_game()

assert candidate([['class MG', 'def _private_Minesweeping_game', 'def public_Minesweeping_game'], ['class MG', 'def __private_Minesweeping_game', 'def public_Minesweeping_game']]) == 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 **NP** using the Python language, which has instance attributes **nums** and **k**, a private function **private_Number_Pairs**, and a public function **public_Number_Pairs**. Then, return the number of different **k-diff** number pairs in the private function **private_Number_Pairs**. Finally, call the private function **private_Number_Pairs** in the public function **public_Number_Pairs** to return the result.

def test_run(content1,content2):
    return NP(content1,content2).public_Number_Pairs()

assert candidate([['class NP', 'def _private_Number_Pairs', 'def public_Number_Pairs'], ['class NP', 'def __private_Number_Pairs', 'def public_Number_Pairs']]) == 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 **SOP** class using the Python language, which has instance attributes **num1** and **num2**, a private function **String_product**, and a public function **public_String_product**. Then, in the private function **String_product**, follow the complex number representation format, and return a string representing the product of complex numbers **num1** and **num2**. Finally, in the public function **public_String_product**, call the private function **String_product** to return the result.

def test_run(content1,content2):
    return SOP(content1,content2).public_String_product()

assert candidate([['class SOP', 'def _String_product', 'def public_String_product'], ['class SOP', 'def __String_product', 'def public_String_product']]) == 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 **MTD** class using the Python language, which has an instance attribute **timePoints**, a private function **Minimum_difference**, and a public function **public_Minimum_difference**. Then, in the private function **Minimum_difference**, return the minimum time difference between any two times in the list, represented in minutes. Finally, in the public function **public_Minimum_difference**, call the private function **Minimum_difference** to return the result.

def test_run(content1):
    return MTD(content1).public_Number_occurrences()

assert candidate([['class MTD', 'def _Minimum_difference', 'def public_Minimum_difference'], ['class MTD', 'def __Minimum_difference', 'def public_Minimum_difference']]) == 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 **NOO** using Python language, which has an instance attribute **nums**, a private function **Number_occurrences**, and a public function **public_Number_occurrences**. Then, implement the following problem in the private function **Number_occurrences**. Finally, call the private function **Number_occurrences** in the public function **public_Number_occurrences** to return the result.
Problem: Given a sorted array composed only of integers, where each element appears twice except for one that appears only once. Please find and return that single number.

def test_run(content1):
    return NOO(content1).public_Number_of_occurrences()

assert candidate([['class NOO', 'def _Number_occurrences', 'def public_Number_occurrences'], ['class NOO', 'def __Number_occurrences', 'def public_Number_occurrences']]) == 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 **MS** using Python language, which has an instance attribute **mat**, a private function **private_Matrices_size**, and a public function **public_Matrices_size**. Then, implement the following problem in the private function **private_Matrices_size**. Finally, call the private function **private_Matrices_size** in the public function **public_Matrices_size** to return the result.
Problem: Given a matrix **mat** composed of 0 and 1, output a matrix of the same size, where each cell is the distance from the corresponding element in **mat** to the nearest 0. The distance between two adjacent elements is 1.

def test_run(content1):
    return MS(content1).public_Matrices_size()

assert candidate([['class MS', 'def _private_Matrices_size', 'def public_Matrices_size'], ['class MS', 'def __private_Matrices_size', 'def public_Matrices_size']]) == 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 **RB** class using Python language, which has an instance attribute **boxes**, a private function **private_Remove_Box**, and a public function **public_Remove_Box**. Then, implement the following problem in the private function **private_Remove_Box**. Finally, call the private function **private_Remove_Box** in the public function **public_Remove_Box** to return the result.
Problem: Given some **boxes** of different colors, the color of the box is represented by different positive numbers. After several rounds of operations to remove the boxes until all the boxes are removed. In each round, you can remove **k** consecutive boxes of the same color (k >= 1), and you will get **k * k** points after such a round. Return the maximum sum of points that can be obtained.

def test_run(content1):
    return RB(content1).public_Remove_Box()

assert candidate([['class RB', 'def _private_Remove_Box', 'def public_Remove_Box'], ['class RB', 'def __private_Remove_Box', 'def public_Remove_Box']]) == 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 **AP** class using the Python language, which has an instance attribute **nums**, a private function **private_Add_parentheses**, and a public function **public_Add_parentheses**. Then, implement the following problem in the private function **private_Add_parentheses**. Finally, call the private function **private_Add_parentheses** in the public function **public_Add_parentheses** to return the result.
Problem: Please perform floating-point division on a positive integer array **nums**. You can add any number of parentheses at any position to change the priority of arithmetic. Return the corresponding expression in string format with the maximum value.

def test_run(content1):
    return AP(content1).public_Add_parentheses()

assert candidate([['class AP', 'def _private_Add_parentheses', 'def public_Add_parentheses'], ['class AP', 'def __private_Add_parentheses', 'def public_Add_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:
Firstly, design an **MI** class using Python language, which has an instance attribute **n**, a private function **private_Minimum_integer**, and a public function **public_Minimum_integer**. Then, implement the following problem in the private function **private_Minimum_integer**. Finally, call the private function **private_Minimum_integer** in the public function **public_Minimum_integer** to return the result.
Problem: Given a positive integer **n**, find the smallest integer that meets the conditions, which is composed of each digit existing in **n** rearranged, and its value is greater than **n**. If there is no such positive integer, return -1.

assert candidate(12)==21
assert candidate(21)==-1

def test_run(content1):
    return MI(content1).public_Minimum_integer()

assert candidate([['class MI', 'def _private_Minimum_integer', 'def public_Minimum_integer'], ['class MI', 'def __private_Minimum_integer', 'def public_Minimum_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: Firstly, design an **IS** class using the Python language, which has an instance attribute **s**, a private function **private_Invert_String**, and a public function **public_Invert_String**. Then, in the private function **private_Invert_String**, output the string after reversing the character order of each word in the string, while still retaining the spaces and the initial order of the words. Finally, call the private function **private_Invert_String** in the public function **public_Invert_String** to return the result.

assert candidate("Let's take LeetCode contest")=="s'teL ekat edoCteeL tsetnoc"

assert candidate("God Ding")=="doG gniD"

def test_run(content1):
    return IS(content1).public_Invert_String()

assert candidate([['class IS', 'def _private_Invert_String', 'def public_Invert_String'], ['class IS', 'def __private_Invert_String', 'def public_Invert_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: Firstly, design a **CS** class using Python language, which has instance attributes **nums** and **k**, a private function **private_Continuous_subarray**, and a public function **public_Continuous_subarray**. Then, in the private function **private_Continuous_subarray**, count and return the number of continuous subarrays in the array whose sum is **k**. Finally, call the private function **private_Continuous_subarray** in the public function **public_Continuous_subarray** to return the result.

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

def test_run(content1,content2):
    return CS(content1,content2).public_Continuous_subarray()

assert candidate([['class CS', 'def _private_Continuous_subarray', 'def public_Continuous_subarray'], ['class CS', 'def __private_Continuous_subarray', 'def public_Continuous_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: Firstly, design a class **PI** using the Python language, which has an instance attribute **n**, a private function **private_Palindrome_integer**, and a public function **public_Palindrome_integer**. Then, in the private function **private_Palindrome_integer**, return the palindrome integer closest to the string **n** (excluding itself). If there is more than one, return the smaller one. **Closest** is defined as the smallest absolute difference between two integers. Finally, in the public function **public_Palindrome_integer**, call the private function **private_Palindrome_integer** to return the result.

assert candidate("123")=="121"
assert candidate("1")=="0"

def test_run(content1):
    return PI(content1).public_Palindrome_integer()

assert candidate([['class PI', 'def _private_Palindrome_integer', 'def public_Palindrome_integer'], ['class PI', 'def __private_Palindrome_integer', 'def public_Palindrome_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: Firstly, design a class **JA** using the Python language, which has instance attributes **s1** and **s2**, a private function **private_Judgment_arrangement**, and a public function **public_Judgment_arrangement**. Then, in the private function **private_Judgment_arrangement**, determine whether **s2** contains the arrangement of **s1**. If it does, return **True**; otherwise, return **False**. Finally, call the private function **private_Judgment_arrangement** in the public function **public_Judgment_arrangement** to return the result.

def test_run(content1,content2):
    return JA(content1,content2).public_Judgment_arrangement()

assert candidate([['class JA', 'def _private_Judgment_arrangement', 'def public_Judgment_arrangement'], ['class JA', 'def __private_Judgment_arrangement', 'def public_Judgment_arrangement']]) == 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 the Python language, which includes an instance attribute **nums**, a private function **private_Shortest_subarray**, and a public function **public_Shortest_subarray**. Then, implement the following problem in the private function **private_Shortest_subarray**. Finally, call the private function **private_Shortest_subarray** in the public function **public_Shortest_subarray** to return the result.
Problem: Given an integer array **nums**, you need to find a continuous subarray. If this subarray is sorted in ascending order, then the entire array will become sorted in ascending order. Please find the shortest subarray that meets this requirement and output its length.

assert candidate([2,6,4,8,10,9,15])==5
assert candidate([1,2,3,4])==0
assert candidate([1])==0

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

assert candidate([['class SS', 'def _private_Shortest_subarray', 'def public_Shortest_subarray'], ['class SS', 'def __private_Shortest_subarray', 'def public_Shortest_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: Firstly, design a class named **MS** using the Python language, which has instance attributes **word1** and **word2**, a private function **private_Minimum_Steps**, and a public function **public_Minimum_Steps**. Then, in the private function **private_Minimum_Steps**, return the minimum number of steps required to make **word1** and **word2** identical. Finally, in the public function **public_Minimum_Steps**, call the private function **private_Minimum_Steps** to return the result.

assert candidate("sea","eat")==2
assert candidate("leetcode","etco")==4

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

assert candidate([['class MS', 'def _private_Minimum_Steps', 'def public_Minimum_Steps'], ['class MS', 'def __private_Minimum_Steps', 'def public_Minimum_Steps']]) == 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 **RC** class using the Python language, which has an instance attribute **trees**, a private function **private_Return_Coordinates**, and a public function **public_Return_Coordinates**. Then, implement the following problem in the private function **private_Return_Coordinates**. Finally, call the private function **private_Return_Coordinates** in the public function **public_Return_Coordinates** to return the result.
Problem: Given an array **trees**, where trees[i]=[x_i, y_i] represents the location of the tree in the garden. You are required to enclose the entire garden with the shortest length of rope because the rope is expensive. The garden is well enclosed only when all the trees are enclosed. Return the coordinates of the trees that are exactly on the perimeter of the fence.

def test_run(content1):
    return RC(content1).public_Return_Coordinates()

assert candidate([['class RC', 'def _private_Return_Coordinates', 'def public_Return_Coordinates'], ['class RC', 'def __private_Return_Coordinates', 'def public_Return_Coordinates']]) == 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 named **MS** using Python language, which has an instance attribute **expression**, a private function **private_Minimal_Score**, and a public function **public_Minimal_Score**. Then, implement the following problem in the private function **private_Minimal_Score**. Finally, call the private function **private_Minimal_Score** in the public function **public_Minimal_Score** to return the result.
Problem: Given a string **expression** representing addition and subtraction of scores, you need to return a string form of the calculated result. This result should be an irreducible fraction, that is, the simplest fraction. If the final result is an integer, for example, an integer 2, you need to convert it into a fraction form with a denominator of 1. So in the above example, 2 should be converted to 2/1.

def test_run(content1):
    return MS(content1).public_Minimal_Score()

assert candidate([['class MS', 'def _private_Minimal_Score', 'def public_Minimal_Score'], ['class MS', 'def __private_Minimal_Score', 'def public_Minimal_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 **FAS** class using the Python language, which has instance attributes **p1**, **p2**, **p3**, and **p4**, a private function **Form_square**, and a public function **public_Form_square**. Then, in the private function **Form_square**, determine whether the four points form a square. If they do, return True; otherwise, return False. Finally, in the public function **public_Form_square**, call the private function **Form_square** to return the result.

def test_run(content1,content2,content3,content4):
    return FAS(content1,content2,content3,content4).public_Form_square()

assert candidate([['class FAS', 'def _Form_square', 'def public_Form_a_square'], ['class FAS', 'def __Form_square', 'def public_Form_a_square']]) == 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 **TC** class using Python language, which has an instance attribute **n**, a private function **private_There_continuity**, and a public function **public_There_continuity**. Then, in the private function **private_There_continuity**, count how many non-negative integers in the range of [0, n] do not have consecutive 1 in their binary representation. Finally, call the private function **private_There_continuity** in the public function **public_There_continuity** to return the result.

assert candidate(5)==5
assert candidate(1)==2
assert candidate(2)==3

def test_run(content1):
    return TC(content1).public_There_continuity()

assert candidate([['class TC', 'def _private_There_continuity', 'def public_There_continuity'], ['class TC', 'def __private_There_continuity', 'def public_There_continuity']]) == 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 **NOT** class using Python language, which has an instance attribute **nums**, a private function **private_Number_of_triples**, and a public function **public_Number_of_triples**. Then, in the private function **private_Number_of_triples**, return the number of triples that **nums** can form the three sides of a triangle. Finally, in the public function **public_Number_of_triples**, call the private function **private_Number_of_triples** to return the result.

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

def test_run(content1):
    return NOT(content1).public_Number_of_triples()

assert candidate([['class NOT', 'def _private_Number_of_triples', 'def public_Number_of_triples'], ['class NOT', 'def __private_Number_of_triples', 'def public_Number_of_triples']]) == 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 **MT** class using Python language, which has instance attributes **tasks** and **n**, a private function **private_Minimum_time**, and a public function **public_Minimum_time**. Then, implement the following problem in the private function **private_Minimum_time**. Finally, call the private function **private_Minimum_time** in the public function **public_Minimum_time** to return the result.
Problem: Given a list of tasks that the CPU needs to execute, represented by a character array **tasks**. Each letter represents a different type of task. Tasks can be executed in any order, and each task can be completed within 1 unit of time. In any unit of time, the CPU can complete a task or be in standby mode. However, there must be a cooling time of integer **n** between two tasks of the same type, so the CPU must be executing different tasks or in standby mode for at least continuous **n** units of time. Calculate the shortest time required to complete all tasks.

def test_run(content1,content2):
    return MT(content1,content2).public_Minimum_time()

assert candidate([['class MT', 'def _private_Minimum_time', 'def public_Minimum_time'], ['class MT', 'def __private_Minimum_time', 'def public_Minimum_time']]) == 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 **ROP** using the Python language, which has instance attributes **n** and **k**, a private function **private_Reverse_order_pair**, and a public function **public_Reverse_order_pair**. Then, implement the following problem in the private function **private_Reverse_order_pair**. Finally, call the private function **private_Reverse_order_pair** in the public function **public_Reverse_order_pair** to return the result.
Problem: Please find out the number of different arrays that contain numbers from 1 to **n** and exactly have **k** reverse order pairs. Definition of reverse order pair: For the i-th and j-th elements of the array **nums**, if it satisfies 0<=i<j<nums.length and nums[i]>nums[j], it is a reverse order pair; otherwise, it is not.

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

def test_run(content1,content2):
    return ROP(content1,content2).public_Reverse_order_pair()

assert candidate([['class ROP', 'def _private_Reverse_order_pair', 'def public_Reverse_order_pair'], ['class ROP', 'def __private_Reverse_order_pair', 'def public_Reverse_order_pair']]) == 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 **NCT** class using Python language, which has an instance attribute **courses**, a private function **private_Number_courses_taken**, and a public function **public_Number_courses_taken**. Then, implement the following problem in the private function **private_Number_courses_taken**. Finally, call the private function **private_Number_courses_taken** in the public function **public_Number_courses_taken** to return the result.
Problem: Here are **n** different online courses, numbered from 1 to **n**. Given an array **courses**, where courses[i] = [duration_i, lastDay_i] indicates that the i-th course will last for **duration_i** days, and must be completed no later than **lastDay_i**. Your semester starts from the first day and you cannot take two or more courses at the same time. Return the maximum number of courses you can take.

def test_run(content1):
    return NCT(content1).public_Number_courses_taken()

assert candidate([['class NCT', 'def _private_Number_courses_taken', 'def public_Number_courses_taken'], ['class NCT', 'def __private_Number_courses_taken', 'def public_Number_courses_taken']]) == 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 **JI** using the Python language, which has an instance attribute **c**, a private function **private_Judging_integers**, and a public function **public_Judging_integers**. Then, in the private function **private_Judging_integers**, determine whether there exist two integers **a** and **b** such that a^2 + b^2 = c. If they exist, return True, otherwise, return False. Finally, call the private function **private_Judging_integers** in the public function **public_Judging_integers** to return the result.

assert candidate(5)==True
assert candidate(3)==False

def test_run(content1):
    return JI(content1).public_Judging_integers()

assert candidate([['class JI', 'def _private_Judging_integers', 'def public_Judging_integers'], ['class JI', 'def __private_Judging_integers', 'def public_Judging_integers']]) == 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 **SE** using the Python language, which has an instance attribute **equation**, a private function **private_solve_equation**, and a public function **public_solve_equation**. Then, implement the following problem in the private function **private_solve_equation**. Finally, call the private function **private_solve_equation** in the public function **public_solve_equation** to return the result.
Problem: Solve a given equation and return **x** in the form of a string **x=#value**. The equation only contains '+' and '-' operations, the variable **x** and its corresponding coefficient. If the equation has no solution or the existing solution is not an integer, please return **No solution**. If the equation has infinite solutions, return **Infinite solutions**.

def test_run(content1):
    return SE(content1).public_solve_equation()

assert candidate([['class SE', 'def _private_solve_equation', 'def public_solve_equation'], ['class SE', 'def __private_solve_equation', 'def public_solve_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:
Firstly, design an **LPC** class using Python language, which has an instance attribute **pairs**, a private function **private_Longest_pair_chain**, and a public function **public_Longest_pair_chain**. Then, implement the following problem in the private function **private_Longest_pair_chain**. Finally, call the private function **private_Longest_pair_chain** in the public function **public_Longest_pair_chain** to return the result.
Problem: Given an array of pairs **pairs** composed of n pairs, where pairs[i] = [left_i, right_i] and left_i < right_i. Now, define a following relationship, where pair p2 = [c, d] can only follow p1 = [a, b] if and only if b < c. Use this form to construct a pair chain, find and return the length of the longest pair chain that can be formed.

def test_run(content1):
    return LPC(content1).public_Longest_pair_chain()

assert candidate([['class LPC', 'def _private_Longest_pair_chain', 'def public_Longest_pair_chain'], ['class LPC', 'def __private_Longest_pair_chain', 'def public_Longest_pair_chain']]) == 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 an instance attribute **s**, a private function **private_Palindrome_substring**, and a public function **public_Palindrome_substring**. Then, return the number of palindrome substrings in the string **s** within the private function **private_Palindrome_substring**. Finally, call the private function **private_Palindrome_substring** to return the result within the public function **public_Palindrome_substring**.

assert candidate("abc")==3
assert candidate("aaa")==6

def test_run(content1):
    return PS(content1).public_Palindrome_substring()

assert candidate([['class PS', 'def _private_Palindrome_substring', 'def public_Palindrome_substring'], ['class PS', 'def __private_Palindrome_substring', 'def public_Palindrome_substring']]) == 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 **RS** class using the Python language, which has instance attributes **dictionary** and **sentence**, a private function **private_Root_substitution**, and a public function **public_Root_substitution**. Then, implement the following problem in the private function **private_Root_substitution**. Finally, call the private function **private_Root_substitution** in the public function **public_Root_substitution** to return the result.

Problem: In English, there is a concept called **root**, where you can add other words after the root to form a longer word, which is called a **successor** word. For example, the root **an**, followed by the word **other**, can form a new word **another**. Now, given a **dictionary** composed of many roots and a **sentence** formed by words separated by spaces. You need to replace all the successor words in the sentence with the root. If there are many roots that can form the successor word, replace it with the shortest root. You need to output the sentence after the replacement.

assert candidate(["cat","bat","rat"],"the cattle was rattled by the battery")=="the cat was rat by the bat"

assert candidate(["a","b","c"],"aadsfasf absbs bbab cadsfafs")=="a a b c"

def test_run(content1,content2):
    return RS(content1,content2).public_Root_substitution()

assert candidate([['class RS', 'def _private_Root_substitution', 'def public_Root_substitution'], ['class RS', 'def __private_Root_substitution', 'def public_Root_substitution']]) == 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 **MNO** class using Python language, which has an instance attribute **n**, a private function **Minimum_operations**, and a public function **public_Minimum_operations**. Then, implement the following problem in the private function **Minimum_operations**. Finally, call the private function **Minimum_operations** in the public function **public_Minimum_operations** to return the result.
Problem: Initially, there is only one character 'A' on the notepad. You can perform two types of operations on this notepad each time: 1. Copy All: Copy all characters in this notepad (partial copying is not allowed); 2. Paste: Paste the characters copied last time. Given a number **n**, you need to use the minimum number of operations to output exactly **n** 'A's on the notepad. Return the minimum number of operations that can print out **n** 'A's.

assert candidate(3)==3
assert candidate(1)==0

def test_run(content1):
    return MNO(content1).public_Minimum_operations()

assert candidate([['class MNO', 'def _Minimum_operations', 'def public_Minimum_operations'], ['class MNO', 'def __Minimum_operations', 'def public_Minimum_operations']]) == 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 **FPV** class using Python language, which has instance attributes **arr**, **k**, and **x**, a private function **private_Find_Proximity_Values**, and a public function **public_Find_Proximity_Values**. Then, implement the following problem in the private function **private_Find_Proximity_Values**. Finally, call the private function **private_Find_Proximity_Values** in the public function **public_Find_Proximity_Values** to return the result.
Problem: Given a sorted array **arr**, two integers **k** and **x**, find the **k** numbers closest to **x** (the difference between the two numbers is the smallest) from the array. The returned result must be sorted in ascending order. An integer **a** is closer to **x** than an integer **b** if: |a-x| < |b-x| or |a-x| == |b-x| and a < b.

def test_run(content1,content2,content3):
    return FPV(content1,content2,content3).public_Find_Proximity_Values()

assert candidate([['class FPV', 'def _private_Find_Proximity_Values', 'def public_Find_Proximity_Values'], ['class FPV', 'def __private_Find_Proximity_Values', 'def public_Find_Proximity_Values']]) == 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 **JS** class using the Python language, which has an instance attribute **nums**, a private function **private_Judgment_segmentation**, and a public function **public_Judgment_segmentation**. Then, implement the following problem in the private function **private_Judgment_segmentation**. Finally, call the private function **private_Judgment_segmentation** in the public function **public_Judgment_segmentation** to return the result.
Problem: Given an integer array **nums** sorted in non-decreasing order. Please judge whether it is possible to satisfy the following two conditions while dividing **nums** into one or more sub-sequences: each sub-sequence is a continuous increasing sequence (that is, each integer is exactly one larger than the previous one); the length of all sub-sequences is at least 3. If **nums** can be divided and meet the above conditions, return True; otherwise, return False.

def test_run(content1):
    return JS(content1).public_Judgment_segmentation()

assert candidate([['class JS', 'def _private_Judgment_segmentation', 'def public_Judgment_segmentation'], ['class JS', 'def _private_Judgment_segmentation', 'def public_Judgment_segmentation']]) == 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 **MPT** class using Python language, which has an instance attribute **s**, a private function **Minimum_Times**, and a public function **public_Minimum_Times**. Then, implement the following problem in the private function **Minimum_Times**. Finally, call the private function **Minimum_Times** in the public function **public_Minimum_Times** to return the result.
Problem: There is a strange printer with the following two special requirements: 1. The printer can only print a sequence composed of the same character each time; 2. It can print a new character at any position from the beginning to the end each time, and it will overwrite the original characters. Given a string **s**, your task is to calculate the minimum number of times this printer needs to print it.

assert candidate("aaabbb")==2
assert candidate("aba")==2

def test_run(content1):
    return MPT(content1).public_Minimum_Times()

assert candidate([['class MPT', 'def _Minimum_Times', 'def public_Minimum_Times'], ['class MPT', 'def __Minimum_Times', 'def public_Minimum_Times']]) == 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 **NDC** class using Python language, which has an instance attribute **nums**, a private function **private_Non_decreasing_column**, and a public function **public_Non_decreasing_column**. Then, implement the following problem in the private function **private_Non_decreasing_column**. Finally, call the private function **private_Non_decreasing_column** in the public function **public_Non_decreasing_column** to return the result.
Problem: Given an integer array **nums** of length **n**, please determine whether this array can become a non-decreasing sequence by changing at most one element. Definition of non-decreasing sequence: For any **i** (0 <= i <= n-2) in the array, it always satisfies that nums[i]<= nums[i + 1].

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

def test_run(content1):
    return NDC(content1).public_Non_decreasing_column()

assert candidate([['class NDC', 'def _private_Non_decreasing_column', 'def public_Non_decreasing_column'], ['class NDC', 'def __private_Non_decreasing_column', 'def public_Non_decreasing_column']]) == 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 **AL** class using Python language, which has instance attributes **n** and **k**, a private function **private_Answer_List**, and a public function **public_Answer_List**. Then, return the constructed answer list **answer** in the private function **private_Answer_List**. Finally, call the private function **private_Answer_List** in the public function **public_Answer_List** to return the result.
Problem: Given two integers **n** and **k**, please construct an answer list **answer**. This list should contain **n** different positive integers from 1 to **n**, and at the same time meet the following condition: Assuming the list is answer=[a1, a2, a3, ... , an], then the list [|a1 - a2|,|a2 - a3|,|a3 - a4|,...,|an-1 - an|] should have exactly **k** different integers. Return the list **answer**.

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

def test_run(content1,content2):
    return AL(content1,content2).public_Answer_List()

assert candidate([['class AL', 'def _private_Answer_List', 'def public_Answer_List'], ['class AL', 'def _private_Answer_List', 'def public_Answer_List']]) == 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 **LIS** using Python language, which has instance attribute **nums**, a private function **lo_in_sub**, and a public function **public_lo_in_sub**. Then, in the private function **lo_in_sub**, return the count of the longest increasing subsequence from the unsorted integer array **nums**. Finally, in the public function **public_lo_in_sub**, call the private function **lo_in_sub** to return the result.

def test_run(content1):
    return LIS(content1).public_lo_in_sub()

assert candidate([['class LIS', 'def _lo_in_sub', 'def public_lo_in_sub'], ['class LIS', 'def __lo_in_sub', 'def public_lo_in_sub']]) == 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 **CDT** class using Python language, which has an instance attribute **forest**, a private function **private_Chop_down_trees**, and a public function **public_Chop_down_trees**. Then, implement the following problem in the private function **private_Chop_down_trees**. Finally, call the private function **private_Chop_down_trees** in the public function **public_Chop_down_trees** to return the result.
Problem: The forest is represented by an m x n matrix. In this matrix, 0 represents an obstacle that cannot be touched; 1 represents the ground where you can walk. Numbers larger than 1 represent cells with trees, which can be walked on, and the number represents the height of the tree. At each step, you can move one unit in one of the four directions: up, down, left, or right. If there is a tree where you stand, you can decide whether to cut it down. You need to cut down all the trees from low to high according to the height of the trees. After cutting down a tree, the value of the cell becomes **1** (i.e., it becomes the ground). You will start working from the point (0, 0), and return the minimum number of steps you need to take to cut down all the trees. If you cannot cut down all the trees, return -1.

def test_run(content1):
    return CDT(content1).public_Chop_down_trees()

assert candidate([['class CDT', 'def _private_Chop_down_trees', 'def public_Chop_down_trees'], ['class CDT', 'def __private_Chop_down_trees', 'def public_Chop_down_trees']]) == 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 **VS** class using Python language, which has an instance attribute **s**, a private function **private_Valid_String**, and a public function **public_Valid_String**. Then, implement the following problem in the private function **private_Valid_String**. Finally, call the private function **private_Valid_String** in the public function **public_Valid_String** and return the result.
Problem: Given a string that only contains three types of characters, the supported character types are '(', ')', and '*'. Please check whether this string is a valid string. If it is a valid string, return True; otherwise, return False.

assert candidate("()")==True
assert candidate("(*)")==True
assert candidate("(*))")==True

def test_run(content1):
    return VS(content1).public_Valid_String()

assert candidate([['class VS', 'def _private_Valid_String', 'def public_Valid_String'], ['class VS', 'def __private_Valid_String', 'def public_Valid_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:
Firstly, design a class **ME** using the Python language, which has an instance attribute **cards**, a private function **private_mathematical_expression**, and a public function **public_mathematical_expression**. Then, implement the following problem in the private function **private_mathematical_expression**. Finally, call the private function **private_mathematical_expression** in the public function **public_mathematical_expression** to return the result.
Problem: Given an integer array **cards** of length 4. Assume there are 4 cards, each containing a number ranging from [1,9]. You should arrange the numbers on these cards into a mathematical expression using the operators ['+', '-', '*', '/'] and parentheses '(' and ')' to achieve the value 24. You must follow these rules: 1. The division operator '/' represents real number division, not integer division; 2. Each operation is between two numbers. Specifically, you cannot use "-" as a unary operator. For example, if cards = [1,1,1,1], the expression "-1 -1 -1 -1" is not allowed; 3. You cannot string numbers together. If cards = [1,2,1,2], the expression "12 + 12" is invalid. If such an expression can be obtained and its calculation result is 24, return True, otherwise return False.

assert candidate([4, 1, 8, 7])==True
assert candidate([1, 2, 1, 2])==False

def test_run(content1):
    return ME(content1).public_mathematical_expression()

assert candidate([['class ME', 'def _private_mathematical_expression', 'def public_mathematical_expression'], ['class ME', 'def __private_mathematical_expression', 'def public_mathematical_expression']]) == 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 **OS** class using Python language, which has instance attributes **a** and **b**, a private function **private_Overlay_substring**, and a public function **public_Overlay_substring**. Then, implement the following problem in the private function **private_Overlay_substring**. Finally, call the private function **private_Overlay_substring** in the public function **public_Overlay_substring** to return the result.
Problem: Given two strings **a** and **b**, find the minimum number of times string **a** needs to be repeatedly overlaid so that string **b** becomes a substring of the overlaid string **a**. If it does not exist, return -1.

assert candidate("abcd","cdabcdab")==3
assert candidate("a","aa")==2
assert candidate("a","a")==1
assert candidate("abc","wxyz")==-1

def test_run(content1,content2):
    return OS(content1,content2).public_Overlay_substring()

assert candidate([['class OS', 'def _private_Overlay_substring', 'def public_Overlay_substring'], ['class OS', 'def __private_Overlay_substring', 'def public_Overlay_substring']]) == 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 **KC** class using Python language, which has instance attributes **n**, **k**, **row**, and **column**, a private function **private_Knight_Chessboard**, and a public function **public_Knight_Chessboard**. Then, implement the following problem in the private function **private_Knight_Chessboard**. Finally, call the private function **private_Knight_Chessboard** in the public function **public_Knight_Chessboard** to return the result.
Problem: On an n x n international chessboard, a knight starts from the cell (row, column) and tries to make **k** moves. Rows and columns start from 0, so the top-left cell is (0,0), and the bottom-right cell is (n - 1, n - 1). The chess knight has 8 possible moves, each move is two cells in the basic direction, then one cell in the orthogonal direction. Each time the knight is to move, it randomly selects one from the 8 possible moves (even if the piece will leave the board), and then moves there. The knight continues to move until it has taken **k** steps or has left the board. Return the probability that the knight still remains on the board after it stops moving.

def test_run(content1,content2,content3,content4):
    return KC(content1,content2,content3,content4).public_Knight_Chessboard()

assert candidate([['class KC', 'def _private_Knight_Chessboard', 'def public_Knight_Chessboard'], ['class KC', 'def __private_Knight_Chessboard', 'def public_Knight_Chessboard']]) == 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 **MS** class using Python language, which has instance attributes **nums** and **k**, a private function **private_Maximum_subarray**, and a public function **public_Maximum_subarray**. Then, implement the following problem in the private function **private_Maximum_subarray**. Finally, call the private function **private_Maximum_subarray** in the public function **public_Maximum_subarray** to return the result.
Problem: Given an integer array **nums** and an integer **k**, find three non-overlapping subarrays of length **k** with the maximum sum of all numbers (3*k items) and return these three subarrays.

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

assert candidate([['class MS', 'def _private_Maximum_subarray', 'def public_Maximum_subarray'], ['class MS', 'def __private_Maximum_subarray', 'def public_Maximum_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:
Firstly, design a class named **SW** using Python language, which has instance attributes **stickers** and **target**, a private function **private_Sticker_Words**, and a public function **public_Sticker_Words**. Then, implement the following problem in the private function **private_Sticker_Words**. Finally, call the private function **private_Sticker_Words** in the public function **public_Sticker_Words** to return the result.
Problem: There are **n** different types of stickers, each with a lowercase English word on it. You want to spell out a given string **target** by cutting individual letters from the collected stickers and rearranging them. If you wish, you can use each sticker multiple times, and the quantity of each sticker is unlimited. Return the minimum number of stickers required to spell out the **target**. If the task is impossible, return -1.

def test_run(content1,content2):
    return SW(content1,content2).public_Sticker_Words()

assert candidate([['class SW', 'def _private_Sticker_Words', 'def public_Sticker_Words'], ['class SW', 'def __private_Sticker_Words', 'def public_Sticker_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 an **MT** class using the Python language, which has instance attributes **words** and **k**, a private function **private_Most_times**, and a public function **public_Most_times**. Then, in the private function **private_Most_times**, return the top **k** most frequently occurring words from a given word list **words** and an integer **k**. Finally, call the private function **private_Most_times** in the public function **public_Most_times** to return the result.

assert candidate(["i", "love", "leetcode", "i", "love", "coding"],2)==["i", "love"]

assert candidate(["the", "day", "is", "sunny", "the", "the", "the", "sunny", "is", "is"],4)==["the", "is", "sunny", "day"]

def test_run(content1,content2):
    return MT(content1,content2).public_Most_times()

assert candidate([['class MT', 'def _private_Most_times', 'def public_Most_times'], ['class MT', 'def __private_Most_times', 'def public_Most_times']]) == 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 **AA** class using the Python language, which has an instance attribute **n**, a private function **private_Alternating_appearance**, and a public function **public_Alternating_appearance**. Then, implement the following problem in the private function **private_Alternating_appearance**. Finally, call the private function **private_Alternating_appearance** in the public function **public_Alternating_appearance** to return the result.
Problem: Given a positive integer, check whether its binary representation always alternates between 0 and 1. In other words, the adjacent digits in the binary representation are never the same. If 0 and 1 alternate, return True; otherwise, return False.

assert candidate(5)==True
assert candidate(7)==False
assert candidate(11)==False

def test_run(content1):
    return AA(content1).public_Alternating_appearance()

assert candidate([['class AA', 'def _private_Alternating_appearance', 'def public_Alternating_appearance'], ['class AA', 'def __private_Alternating_appearance', 'def public_Alternating_appearance']]) == 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 **IA** class using Python language, which has an instance attribute **grid**, a private function **private_Island_area**, and a public function **public_Island_area**. Then, implement the following problem in the private function **private_Island_area**. Finally, call the private function **private_Island_area** in the public function **public_Island_area** to return the result.
Problem: Given a binary matrix **grid** of size m x n. An island is a combination of some adjacent 1s (representing land), where adjacency requires that two 1s must be adjacent in the horizontal or vertical four directions. It can be assumed that the four edges of the **grid** are surrounded by 0s (representing water). The area of the island is the number of cells on the island with a value of 1. Calculate and return the largest island area in the **grid**. If there is no island, return an area of 0.

def test_run(content1):
    return IA(content1).public_Island_area()

assert candidate([['class IA', 'def _private_Island_area', 'def public_Island_area'], ['class IA', 'def __private_Island_area', 'def public_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: Firstly, design an **ES** class using Python language, which has instance attributes **nums** and **k**, a private function **private_Equal_sum**, and a public function **public_Equal_sum**. Then, in the private function **private_Equal_sum**, determine whether it is possible to divide this array into **k** non-empty subsets with equal sums, based on a given integer array **nums** and a positive integer **k**. Finally, call the private function **private_Equal_sum** in the public function **public_Equal_sum** to return the result.

def test_run(content1,content2):
    return ES(content1,content2).public_Equal_sum()

assert candidate([['class ES', 'def _private_Equal_sum', 'def public_Equal_sum'], ['class ES', 'def __private_Equal_sum', 'def public_Equal_sum']]) == 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 **BS** class using Python language, which has an instance attribute **positions**, a private function **private_Block_stacking**, and a public function **public_Block_stacking**. Then, implement the following problem in the private function **private_Block_stacking**. Finally, call the private function **private_Block_stacking** in the public function **public_Block_stacking** to return the result.
Problem: Given a two-dimensional integer array **positions**, where positions[i] = [left_i, sideLength_i] indicates: the side length of the i-th block is **sideLength_i**, and its left side aligns with the coordinate point **left_i** on the x-axis. Each block falls from a height higher than all the currently landed blocks. The block falls in the negative direction of the y-axis until it lands on the top edge of another square or on the x-axis. A block merely brushing past the left or right side of another block does not count as landing. Once landed, it will be fixed in place and cannot move. After each block falls, you must record the highest height of the currently stable stacked blocks.

def test_run(content1):
    return BS(content1).public_Block_stacking()

assert candidate([['class BS', 'def _private_Block_stacking', 'def public_Block_stacking'], ['class BS', 'def __private_Block_stacking', 'def public_Block_stacking']]) == 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 **DC** class using the Python language, which has instance attributes **s1** and **s2**, a private function **private_Delete_Characters**, and a public function **public_Delete_Characters**. Then, in the private function **private_Delete_Characters**, return the minimum sum of the ASCII values of the characters that need to be deleted to make the two given strings **s1** and **s2** equal. Finally, call the private function **private_Delete_Characters** in the public function **public_Delete_Characters** to return the result.

assert candidate("sea","eat")==231
assert candidate("delete","leet")==403

def test_run(content1,content2):
    return DC(content1,content2).public_Delete_Characters()

assert candidate([['class DC', 'def _private_Delete_Characters', 'def public_Delete_Characters'], ['class DC', 'def __private_Delete_Characters', 'def public_Delete_Characters']]) == 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 **POE** class using Python language, which has instance attributes **nums** and **k**, a private function **private_Product_of_elements**, and a public function **public_Product_of_elements**. Then, in the private function **private_Product_of_elements**, return the number of continuous subarrays where the product of all elements in the subarray is strictly less than **k**, given an integer array **nums** and an integer **k**. Finally, in the public function **public_Product_of_elements**, call the private function **private_Product_of_elements** to return the result.

def test_run(content1,content2):
    return POE(content1,content2).public_Product_of_elements()

assert candidate([['class POE', 'def _private_Product_of_elements', 'def public_Product_of_elements'], ['class POE', 'def __private_Product_of_elements', 'def public_Product_of_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:
Firstly, design a **BS** class using Python language, which has instance attributes **prices** and **fee**, a private function **private_buy_share**, and a public function **public_buy_share**. Then, implement the following problem in the private function **private_buy_share**. Finally, call the private function **private_buy_share** in the public function **public_buy_share** to return the result.
Problem: Given an integer array **prices**, where prices[i] represents the stock price on the i-th day; the integer **fee** represents the transaction fee for trading stocks. You can complete transactions unlimited times, but you need to pay a fee for each transaction. If you have already purchased a stock, you cannot continue to buy stocks before selling it. Return the maximum profit that can be obtained.

def test_run(content1,content2):
    return BS(content1,content2).public_buy_share()

assert candidate([['class BS', 'def _private_buy_share', 'def public_buy_share'], ['class BS', 'def __private_buy_share', 'def public_buy_share']]) == 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 **BC** class using the Python language, which has an instance attribute **bits**, a private function **private_Bit_character**, and a public function **public_Bit_character**. Then, implement the following problem in the private function **private_Bit_character**. Finally, call the private function **private_Bit_character** in the public function **public_Bit_character** to return the result.
Problem: There are two special characters: the first type of character can be represented by a one-bit 0; the second type of character can be represented by two bits (10 or 11). Given a binary array **bits** ending with 0, if the last character must be a one-bit character, return True; otherwise, return False.

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

def test_run(content1):
    return BC(content1).public_Bit_character()

assert candidate([['class BC', 'def _private_Bit_character', 'def public_Bit_character'], ['class BC', 'def __private_Bit_character', 'def public_Bit_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: Firstly, design a **BL** class using Python language, which has instance attributes **nums1** and **nums2**, a private function **private_BLongest_length**, and a public function **public_BLongest_length**. Then, in the private function **private_BLongest_length**, return the length of the longest common subarray from the two given integer arrays **nums1** and **nums2**. Finally, call the private function **private_BLongest_length** in the public function **public_BLongest_length** to return the result.

def test_run(content1,content2):
    return BL(content1,content2).public_BLongest_length()

assert candidate([['class BL', 'def _private_BLongest_length', 'def public_BLongest_length'], ['class BL', 'def __private_BLongest_length', 'def public_BLongest_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:
Firstly, design an **AD** class using Python language, which has instance attributes **nums** and **k**, a private function **private_absolute_difference**, and a public function **public_absolute_difference**. Then, implement the following problem in the private function **private_absolute_difference**. Finally, call the private function **private_absolute_difference** in the public function **public_absolute_difference** to return the result.
Problem: A pair of numbers (a, b) is composed of integers **a** and **b**, and the distance of the pair is defined as the absolute difference between **a** and **b**. Given an integer array **nums** and an integer **k**, the pair is composed of nums[i] and nums[j] and satisfies 0<= i<j<nums.length. Return the k-th smallest pair distance among all pair distances.

assert candidate([1,3,1],1)==0
assert candidate([1,1,1],2)==0
assert candidate([1,6,1],3)==5

def test_run(content1,content2):
    return AD(content1,content2).public_absolute_difference()

assert candidate([['class AD', 'def _private_absolute_difference', 'def public_absolute_difference'], ['class AD', 'def __private_absolute_difference', 'def public_absolute_difference']]) == 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 **ED** class using the Python language, which has an instance attribute **words**, a private function **private_English_Dictionary**, and a public function **public_English_Dictionary**. Then, implement the following problem in the private function **private_English_Dictionary**. Finally, call the private function **private_English_Dictionary** in the public function **public_English_Dictionary** to return the result.
Problem: Given a string array **words** that forms an English dictionary, return the longest word in **words**. This word is formed by gradually adding one letter from other words in the **words** dictionary. If there are multiple feasible answers, return the word with the smallest lexicographical order among the answers. If there is no answer, return an empty string.

assert candidate(["a", "banana", "app", "appl", "ap", "apply", "apple"])=="apple"

def test_run(content1):
    return ED(content1).public_English_Dictionary()

assert candidate([['class ED', 'def _private_English_Dictionary', 'def public_English_Dictionary'], ['class ED', 'def __private_English_Dictionary', 'def public_English_Dictionary']]) == 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 **LS** class using Python language, which has instance attributes **head** and **k**, a private function **private_List_separation**, and a public function **public_List_separation**. Then, implement the following problem in the private function **private_List_separation**. Finally, call the private function **private_List_separation** in the public function **public_List_separation** to return the result.
Problem: Given a singly linked list with a head node **head** and an integer **k**, please design an algorithm to divide the linked list into **k** consecutive parts. The length of each part should be as equal as possible: the difference in length between any two parts cannot exceed 1. This may cause some parts to be null. These **k** parts should be arranged in the order they appear in the linked list, and the length of the parts in the front should be greater than or equal to the length of the parts in the back. Return an array composed of the above **k** parts.

def test_run(content1,content2):
    return LS(content1,content2).public_public_List_separation()

assert candidate([['class LS', 'def _private_List_separation', 'def public_List_separation'], ['class LS', 'def __private_List_separation', 'def public_List_separation']]) == 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 **NOS** class using the Python language, which has an instance attribute **s**, a private function **private_Number_of_sequences**, and a public function **public_Number_of_sequences**. Then, in the private function **private_Number_of_sequences**, return the number of different non-empty palindrome sub-sequences in a given string **s**. Finally, in the public function **public_Number_of_sequences**, call the private function **private_Number_of_sequences** to return the result.

def test_run(content1):
    return NOS(content1).public_Number_of_sequences()

assert candidate([['class NOS', 'def _private_Number_of_sequences', 'def public_Number_of_sequences'], ['class NOS', 'def __private_Number_of_sequences', 'def public_Number_of_sequences']]) == 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 **MI** class using Python language, which has an instance attribute **n**, a private function **private_monotonic_increase**, and a public function **public_monotonic_increase**. Then, implement the following problem in the private function **private_monotonic_increase**. Finally, call the private function **private_monotonic_increase** in the public function **public_monotonic_increase** to return the result.
Problem: An integer is said to be monotonically increasing if and only if each pair of adjacent digits **x** and **y** satisfy x <= y. Given an integer **n**, return the largest number less than or equal to **n** that is monotonically increasing.

assert candidate(10)==9
assert candidate(1234)==1234
assert candidate(332)==299

def test_run(content1):
    return MI(content1).public_monotonic_increase()

assert candidate([['class MI', 'def _private_monotonic_increase', 'def public_monotonic_increase'], ['class MI', 'def __private_monotonic_increase', 'def public_monotonic_increase']]) == 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 **TR** using the Python language, which has an instance attribute **temperatures**, a private function **private_Temperature_rise**, and a public function **public_Temperature_rise**. Then, implement the following problem in the private function **private_Temperature_rise**. Finally, call the private function **private_Temperature_rise** in the public function **public_Temperature_rise** to return the result.
Problem: Given an integer array **temperatures** representing the temperature of each day, return an array **answer**, where answer[i] refers to the number of days until the next higher temperature for the i-th day. If the temperature will not rise after this, please replace it with 0 at this position.

def test_run(content1):
    return TR(content1).public_Temperature_rise()

assert candidate([['class TR', 'def _private_Temperature_rise', 'def public_Temperature_rise'], ['class TR', 'def __private_Temperature_rise', 'def public_Temperature_rise']]) == 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