Question:
Question: Given a string **s**, sort it in decreasing order based on the frequency of characters. The frequency of a character is the number of times it appears in the string. Return the sorted string.
Please use Python to first design a **DODE** class, with an instance attribute **s**, a private function **private_descending_order**, and a public function **public_descending_order**; then implement the above problem in the private function **private_descending_order**; finally, call the private function **private_descending_order** in the public function **public_descending_order** to return the result.

assert candidate("tree")=="eert"
assert candidate("cccaaa")=="cccaaa"
assert candidate("Aabb")=="bbAa"

def test_run(content1):
    return DODE(content1).public_descending_order()

assert candidate([["class DODE", "def __init__(self, s)", "def _private_descending_order","def public_descending_order"], ["class DODE", "def __init__(self, s)", "def __private_descending_order","def public_descending_order"]]) == True

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


Question:
Question: Given an integer array of length n, each operation will increase n - 1 elements by 1. Return the minimum number of operations to make all elements in the array equal.
Please design an **EEL** class in Python first, with instance attribute **nums**, a private function **private_Element_equality**, and a public function **public_Element_equality**. Then, implement the above problem in the private function **private_Element_equality**. Finally, call the private function **private_Element_equality** in the public function **public_Element_equality** to return the result.

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

def test_run(content1):
    return EEL(content1).public_Element_equality()

assert candidate([["class EEL", "def __init__(self, nums)", "def _private_Element_equality","def public_Element_equality"], ["class EEL", "def __init__(self, nums)", "def __private_Element_equality","def public_Element_equality"]]) == 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 four integer arrays **nums1**, **nums2**, **nums3**, and **nums4**, all of the same length **n**, calculate how many tuples (i, j, k, l) can satisfy: 0 <= i, j, k, l < n and nums1[i] + nums2[j] + nums3[k] + nums4[l] == 0.
Please use Python to first design an **AST** class, with instance attributes **nums1**, **nums2**, **nums3**, and **nums4**, a private function **private_Array_stlength**, and a public function **public_Array_stlength**. Then, implement the above problem in the private function **private_Array_stlength**. Finally, call the private function **private_Array_stlength** in the public function **public_Array_stlength** to return the result.

def test_run(content1,content2,content3,content4):
    return AST(content1,content2,content3,content4).public_Array_stlength()

assert candidate([["class AST", "def __init__(self, nums1, nums2, nums3, nums4)", "def _private_Array_stlength","def public_Array_stlength"], ["class AST", "def __init__(self, nums1, nums2, nums3, nums4)", "def __private_Array_stlength","def public_Array_stlength"]]) == True

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


Question:
Question: Given an integer array **nums** with **n** integers. A 132 pattern subsequence is a three-element sequence nums[i], nums[j], and nums[k] that satisfies: i<j<k and nums[i]<nums[k]<nums[j]. If there is a 132 pattern subsequence in **nums**, return True; otherwise, return False.
Please design a **SPAR** class in Python first, with an instance attribute **nums**, a private function **private_Subsequences_patterns**, and a public function **public_Subsequences_patterns**; then implement the above problem in the private function **private_Subsequences_patterns**; finally, call the private function **private_Subsequences_patterns** in the public function **public_Subsequences_patterns** to return the result.

assert candidate([1,2,3,4])==False
assert candidate([3,1,4,2])==True
assert candidate([-1,3,2,0])==True

def test_run(content1):
    return SPAR(content1).public_Subsequences_patterns()

assert candidate([["class SPAR", "def __init__(self, nums)", "def _private_Subsequences_patterns","def public_Subsequences_patterns"], ["class SPAR", "def __init__(self, nums)", "def __private_Subsequences_patterns","def public_Subsequences_patterns"]]) == 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 **SPR** class using Python language, which has an instance attribute **nums**, a private function **private_Suences_patterns**, and a public function **public_Suences_patterns**. Then, implement the following problem in the private function **private_Suences_patterns**. Finally, call the private function **private_Suences_patterns** in the public function **public_Suences_patterns** to return the result.
Problem: Given a circular array nums[i] without 0, which represents the number of indices that the character at index **i** should move forward or backward. If it is a positive number, move forward (in the direction of index increment) by |nums[i]| steps, otherwise, move backward (in the direction of index decrement) by |nums[i]| steps. Because the array is circular, it can be assumed that moving one step forward from the last element will reach the first element, and moving one step backward from the first element will reach the last element. The cycle in the array is identified by an index sequence **seq** of length k: following the above movement rules will lead to a group of repeated index sequences seq[0]->seq[1]->...->seq[k-1]->seq[0]->...; all nums[seq[j]] should be either all positive or all negative. Determine whether there is a cycle in **nums**, if it exists, return True; otherwise, return False.

def test_run(content1):
    return SPR(content1).public_Suences_patterns()

assert candidate([["class SPR", "def __init__(self, nums)", "def _private_Suences_patterns","def public_Suences_patterns"], ["class SPR", "def __init__(self, nums)", "def __private_Suences_patterns","def public_Suences_patterns"]]) == True

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


Question:
Question: Given an integer array **nums** of length **n**, return the minimum number of operations required to make all elements of the array equal. In one operation, you can increase or decrease an element of the array by one.
Please use Python to first design an **OOA** class, with instance attribute **nums**, a private function **private_One_operation**, and a public function **public_One_operation**. Then, implement the above problem in the private function **private_One_operation**. Finally, call the private function **private_One_operation** in the public function **public_One_operation** to return the result.

assert candidate([1,2,3])==2
assert candidate([1,10,2,9])==16

def test_run(content1):
    return OOA(content1).public_One_operation()

assert candidate([["class OOA", "def __init__(self, nums)", "def _private_One_operation","def public_One_operation"], ["class OOA", "def __init__(self, nums)", "def __private_One_operation","def public_One_operation"]]) == 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 **PIGE** using Python language, which has instance attributes **maxChoosableInteger** and **desiredTotal**, a private function **private_Public_integer**, and a public function **public_Public_integer**. Then, implement the following problem in the private function **private_Public_integer**. Finally, call the private function **private_Public_integer** in the public function **public_Public_integer** to return the result.
Problem: Now, we are playing the **100game**. Two players take turns to choose any integer from 1 to 10, accumulate the sum of integers. The player who first reaches or exceeds 100 and cannot reuse integers is the winner. Given two integers, **maxChoosableInteger** (the maximum number that can be chosen from the integer pool) and **desiredTotal** (the accumulated sum), determine whether the first player can win stably. If so, return True, otherwise return False.

assert candidate(10,11)==False
assert candidate(10,0)==True
assert candidate(10,1)==True

def test_run(content1,content2):
    return PIGE(content1,content2).public_Public_integer()

assert candidate([["class PIGE", "def __init__(self, maxChoosableInteger, desiredTotal)", "def _private_Public_integer","def public_Public_integer"], ["class PIGE", "def __init__(self, maxChoosableInteger, desiredTotal)", "def __private_Public_integer","def public_Public_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 **IIFI** class using Python language, which has instance attributes **s1**, **n1**, **s2**, and **n2**, a private function **private_Italic_tion**, and a public function **public_Italic_tion**. Then, implement the following problem in the private function **private_Italic_tion**. Finally, call the private function **private_Italic_tion** in the public function **public_Italic_tion** to return the result.
Problem: Given str=[s,n] indicates that **str** is composed of **n** strings **s** concatenated together. If some characters can be deleted from **s2** to become **s1**, then it is said that the string **s1** can be obtained from the string **s2**. You need to construct two strings **s1** and **s2** and two integers **n1** and **n2** to get two strings str1=[s1,n1] and str2=[s2,n2]. The requirement is to return a maximum integer **m**, to satisfy that str=[str2,m] can be obtained from **str1**.

assert candidate("acb",4,"ab",2)==2
assert candidate("acb",1,"acb",1)==1

def test_run(content1,content2,content3,content4):
    return IIFI(content1,content2,content3,content4).public_Italic_tion()

assert candidate([["class IIFI", "def __init__(self, s1, n1, s2, n2)", "def _private_Italic_tion","def public_Italic_tion"], ["class IIFI", "def __init__(self, s1, n1, s2, n2)", "def __private_Italic_tion","def public_Italic_tion"]]) == True

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


Question:
Question: Define a string base as an infinitely wrapped "abcdefghijklmnopqrstuvwxyz", so the base looks like this: "...zabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcd....". Given a string s, please count and return how many different non-empty substrings appear in the base.
Please use Python to first design an **IZOE** class, with instance attribute **s**, private function **private_Infinity_Zone**, and public function **public_Infinity_Zone**; then implement the above problem in the private function **private_Infinity_Zone**; finally, call the private function **private_Infinity_Zone** in the public function **public_Infinity_Zone** to return the result.

assert candidate("a")==1
assert candidate("cac")==2
assert candidate("zab")==6

def test_run(content1):
    return IZOE(content1).public_Infinity_Zone()

assert candidate([["class IZOE", "def __init__(self, s)", "def _private_Infinity_Zone","def public_Infinity_Zone"], ["class IZOE", "def __init__(self, s)", "def __private_Infinity_Zone","def public_Infinity_Zone"]]) == 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 **EDC** class using Python language, which has an instance attribute **words**, a private function **private_Excluding_Duplicates**, and a public function **public_Excluding_Duplicates**. Then, in the private function **private_Excluding_Duplicates**, provide a string array **words** that does not contain duplicate words, and it is required to return all the conjunctions in **words**. Finally, call the private function **private_Excluding_Duplicates** in the public function **public_Excluding_Duplicates** to return the result.

def test_run(content1):
    return EDC(content1).public_Excluding_Duplicates()

assert candidate([["class EDC", "def __init__(self, words)", "def _private_Excluding_Duplicates","def public_Excluding_Duplicates"], ["class EDC", "def __init__(self, words)", "def __private_Excluding_Duplicates","def public_Excluding_Duplicates"]]) == 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 **EMSP** class using Python language, which has an instance attribute **matchsticks**, a private function **private_Each_matchstick**, and a public function **public_Each_matchstick**. Then, implement the following problem in the private function **private_Each_matchstick**. Finally, call the private function **private_Each_matchstick** in the public function **public_Each_matchstick** to return the result.
Problem: Given an integer array, matchsticks[i] is the length of the i-th matchstick. The requirement is to form a square with all the matchsticks (they can be connected together), but no matchstick can be broken and each matchstick must be used once. Determine whether it is possible to form this square. If it is possible, return True, otherwise return False.

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

def test_run(content1):
    return EMSP(content1).public_Each_matchstick()

assert candidate([["class EMSP", "def __init__(self, matchsticks)", "def _private_Each_matchstick","def public_Each_matchstick"], ["class EMSP", "def __init__(self, matchsticks)", "def __private_Each_matchstick","def public_Each_matchstick"]]) == True

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


Question:
Question: Given a binary string array **strs** and two integers **m** and **n**. Please find and return the length of the maximum subset of **strs**, which has at most **m** zeros and **n** ones. If all elements of **x** are also elements of **y**, set **x** is a subset of set **y**.
Please use Python language to first design a **MSBS** class, with instance attributes **strs**, **m** and **n**, a private function **private_Maximum_subset** and a public function **public_Maximum_subset**; then implement the above problem in the private function **private_Maximum_subset**; finally, call the private function **private_Maximum_subset** in the public function **public_Maximum_subset** to return the result.

def test_run(content1,content2,content3):
    return MSBS(content1,content2,content3).public_Maximum_subset()

assert candidate([["class MSBS", "def __init__(self, strs, m, n)", "def _private_Maximum_subset","def public_Maximum_subset"], ["class MSBS", "def __init__(self, strs, m, n)", "def __private_Maximum_subset","def public_Maximum_subset"]]) == 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 **ANUB** using Python language, which has an instance attribute **nums**, a private function **private_Any_numbers**, and a public function **public_Any_numbers**. Then, in the private function **private_Any_numbers**, return the total Hamming distance between any two numbers in the integer array **nums**. Finally, in the public function **public_Any_numbers**, call the private function **private_Any_numbers** to return the result.

assert candidate([4,14,2])==6
assert candidate([4,14,4])==4

def test_run(content1):
    return ANUB(content1).public_Any_numbers()

assert candidate([["class ANUB", "def __init__(self, nums)", "def _private_Any_numbers","def public_Any_numbers"], ["class ANUB", "def __init__(self, nums)", "def __private_Any_numbers","def public_Any_numbers"]]) == True

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


Question: Firstly, design an **MPRD** class using the Python language, which has an instance attribute **n**, a private function **private_Maximum_palindrome**, and a public function **public_Maximum_palindrome**. Then, in the private function **private_Maximum_palindrome**, return the maximum palindrome integer that can be represented as the product of two n-digit integers. Finally, in the public function **public_Maximum_palindrome**, call the private function **private_Maximum_palindrome** to return the result.

assert candidate(2)==987
assert candidate(1)==9

def test_run(content1):
    return MPRD(content1).public_Maximum_palindrome()

assert candidate([["class MPRD", "def __init__(self, n)", "def _private_Maximum_palindrome","def public_Maximum_palindrome"], ["class MPRD", "def __init__(self, n)", "def __private_Maximum_palindrome","def public_Maximum_palindrome"]]) == 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 **MSRI** class using the Python language, which has an instance attribute **n**, a private function **private_Magic_String**, and a public function **public_Magic_String**. Then, implement the following problem in the private function **private_Magic_String**. Finally, call the private function **private_Magic_String** in the public function **public_Magic_String** to return the result.

Problem: The magical string **s** is composed only of '1' and '2', and the consecutive occurrences of '1' and '2' can generate this string. The first few elements of **s** are s = '1221121221221121122……'. If you group consecutive 1s and 2s in **s**, you can get "1221121221221121122......". The number of times 1 or 2 appears in each group is "122112122122......". The above occurrence times are exactly **s** itself. Given an integer **n**, return the number of 1s in the first **n** digits of the magical string **s**.

assert candidate(6)==3
assert candidate(1)==1

def test_run(content1):
    return MSRI(content1).public_Magic_String()

assert candidate([["class MSRI", "def __init__(self, n)", "def _private_Magic_String","def public_Magic_String"], ["class MSRI", "def __init__(self, n)", "def __private_Magic_String","def public_Magic_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 **MBS** class using the Python language, which has an instance attribute **n**, a private function **private_Minimum_base**, and a public function **public_Minimum_base**. Then, in the private function **private_Minimum_base**, it is required to return the minimum good base of **n** in the form of a string. The definition of the minimum good base is as follows: if all digits of the **k** (k>=2) base number of **n** are 1, then **k** (k>=2) is considered a good base for **n**. Finally, the private function **private_Minimum_base** is called in the public function **public_Minimum_base** to return the result.

def test_run(content1):
    return MBS(content1).public_Minimum_base()

assert candidate([["class MBS", "def __init__(self, n)", "def _private_Minimum_base","def public_Minimum_base"], ["class MBS", "def __init__(self, n)", "def __private_Minimum_base","def public_Minimum_base"]]) == True

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


Question:
Question: Given an integer array **nums**, find and return all the distinct increasing sub-sequences in this array, where each sub-sequence must contain at least two elements.
Please design an **ISQE** class in Python, which has an instance attribute **nums**, a private function **private_increasing_subsequence**, and a public function **public_increasing_subsequence**. Then, implement the above problem in the private function **private_increasing_subsequence**. Finally, call the private function **private_increasing_subsequence** in the public function **public_increasing_subsequence** to return the result.

def test_run(content1):
    return ISQE(content1).public_increasing_subsequence()

assert candidate([["class ISQE", "def __init__(self, nums)", "def _private_increasing_subsequence","def public_increasing_subsequence"], ["class ISQE", "def __init__(self, nums)", "def __private_increasing_subsequence","def public_increasing_subsequence"]]) == True

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


Question:
Question: Given an array **nums**, if i<j and nums[i]>2*nums[j], we call (i, j) an important reverse pair. You need to return the number of **important reverse pairs** in the given array.
Please use Python to first design an **IFIP** class, with instance attribute **nums**, private function **private_Important_flipping** and public function **public_Important_flipping**; then implement the above problem in the private function **private_Important_flipping**; finally, call the private function **private_Important_flipping** in the public function **public_Important_flipping** to return the result.

def test_run(content1):
    return IFIP(content1).public_Important_flipping()

assert candidate([["class IFIP", "def __init__(self, nums)", "def _private_Important_flipping","def public_Important_flipping"], ["class IFIP", "def __init__(self, nums)", "def __private_Important_flipping","def public_Important_flipping"]]) == 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 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 __init__(self, nums, target)", "def _private_Different_expressions","def public_Different_expressions"], ["class DESI", "def __init__(self, nums, target)", "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 __init__(self, mat)", "def _private_Diagonal_traversal","def public_Diagonal_traversal"], ["class DTVL", "def __init__(self, mat)", "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 __init__(self, nums)", "def _private_Array_traversal","def public_Array_traversal"], ["class ATSA", "def __init__(self, nums)", "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 __init__(self, s)", "def _private_Return_length","def public_Return_length"], ["class RL", "def __init__(self, s)", "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 __init__(self, amount, coins)", "def _coin_combinations","def public_combinations"], ["class NCC", "def __init__(self, amount, coins)", "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 __init__(self, strs)", "def _private_Maximum_length","def public_Maximum_length"], ["class ML", "def __init__(self, strs)", "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 __init__(self, s, dictionary)", "def _private_Longest_string","def public_Longest_string"], ["class LS", "def __init__(self, s, dictionary)", "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 __init__(self, nums)", "def _private_Array_length","def public_Array_length"], ["class AL", "def __init__(self, nums)", "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 __init__(self, n)", "def _private_Construction_quantity","def public_Construction_quantity"], ["class CQ", "def __init__(self, n)", "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 __init__(self, w)", "def _private_Return_Subscript","def public_Return_Subscript"], ["class RS", "def __init__(self, w)", "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 __init__(self, board, click)", "def _private_Minesweeping_game","def public_Minesweeping_game"], ["class MG", "def __init__(self, board, click)", "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 __init__(self, nums, k)", "def _private_Number_Pairs","def public_Number_Pairs"], ["class NP", "def __init__(self, nums, k)", "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 __init__(self, num1, num2)", "def _String_product","def public_String_product"], ["class SOP", "def __init__(self, num1, num2)", "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 __init__(self, timePoints)", "def _Minimum_difference","def public_Minimum_difference"], ["class MTD", "def __init__(self, timePoints)", "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 __init__(self, nums)", "def _Number_occurrences","def public_Number_occurrences"], ["class NOO", "def __init__(self, nums)", "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 __init__(self, mat)", "def _private_Matrices_size","def public_Matrices_size"], ["class MS", "def __init__(self, mat)", "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 __init__(self, boxes)", "def _private_Remove_Box","def public_Remove_Box"], ["class RB", "def __init__(self, boxes)", "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 __init__(self, nums)", "def _private_Add_parentheses","def public_Add_parentheses"], ["class AP", "def __init__(self, nums)", "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 __init__(self, n)", "def _private_Minimum_integer","def public_Minimum_integer"], ["class MI", "def __init__(self, n)", "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 __init__(self, s)", "def _private_Invert_String","def public_Invert_String"], ["class IS", "def __init__(self, s)", "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 IS", "def __init__(self, s)", "def _private_Invert_String","def public_Invert_String"], ["class IS", "def __init__(self, s)", "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 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 __init__(self, n)", "def _private_Palindrome_integer","def public_Palindrome_integer"], ["class PI", "def __init__(self, n)", "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 __init__(self, s1, s2)", "def _private_Judgment_arrangement","def public_Judgment_arrangement"], ["class JA", "def __init__(self, s1, s2)", "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 __init__(self, nums)", "def _private_Shortest_subarray","def public_Shortest_subarray"], ["class SS", "def __init__(self, nums)", "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 __init__(self, word1, word2)", "def _private_Minimum_Steps","def public_Minimum_Steps"], ["class MS", "def __init__(self, word1, word2)", "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 __init__(self, trees)", "def _private_Return_Coordinates","def public_Return_Coordinates"], ["class RC", "def __init__(self, trees)", "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 __init__(self, expression)", "def _private_Minimal_Score","def public_Minimal_Score"], ["class MS", "def __init__(self, expression)", "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 __init__(self, p1, p2, p3, p4)", "def _Form_square","def public_Form_a_square"], ["class FAS", "def __init__(self, p1, p2, p3, p4)", "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 __init__(self, n)", "def _private_There_continuity","def public_There_continuity"], ["class TC", "def __init__(self, n)", "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 __init__(self, nums)", "def _private_Number_of_triples","def public_Number_of_triples"], ["class NOT", "def __init__(self, nums)", "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 __init__(self, tasks, n)", "def _private_Minimum_time","def public_Minimum_time"], ["class MT", "def __init__(self, tasks, n)", "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 __init__(self, n, k)", "def _private_Reverse_order_pair","def public_Reverse_order_pair"], ["class ROP", "def __init__(self, n, k)", "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 __init__(self, courses)", "def _private_Number_courses_taken","def public_Number_courses_taken"], ["class NCT", "def __init__(self, courses)", "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 __init__(self, c)", "def _private_Judging_integers","def public_Judging_integers"], ["class JI", "def __init__(self, c)", "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 __init__(self, equation)", "def _private_solve_equation","def public_solve_equation"], ["class SE", "def __init__(self, equation)", "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 __init__(self, pairs)", "def _private_Longest_pair_chain","def public_Longest_pair_chain"], ["class LPC", "def __init__(self, pairs)", "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 __init__(self, s)", "def _private_Palindrome_substring","def public_Palindrome_substring"], ["class PS", "def __init__(self, s)", "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 __init__(self, dictionary, sentence)", "def _private_Root_substitution","def public_Root_substitution"], ["class RS", "def __init__(self, dictionary, sentence)", "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 __init__(self, n)", "def _Minimum_operations","def public_Minimum_operations"], ["class MNO", "def __init__(self, n)", "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 __init__(self, arr, k, x)", "def _private_Find_Proximity_Values","def public_Find_Proximity_Values"], ["class FPV", "def __init__(self, arr, k, x)", "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 __init__(self, nums)", "def _private_Judgment_segmentation","def public_Judgment_segmentation"], ["class JS", "def __init__(self, nums)", "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 __init__(self, s)", "def _Minimum_Times","def public_Minimum_Times"], ["class MPT", "def __init__(self, s)", "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 __init__(self, nums)", "def _private_Non_decreasing_column","def public_Non_decreasing_column"], ["class NDC", "def __init__(self, nums)", "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 __init__(self, n, k)", "def _private_Answer_List","def public_Answer_List"], ["class AL", "def __init__(self, n, k)", "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 __init__(self, nums)", "def _lo_in_sub","def public_lo_in_sub"], ["class LIS", "def __init__(self, nums)", "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 __init__(self, forest)", "def _private_Chop_down_trees","def public_Chop_down_trees"], ["class CDT", "def __init__(self, forest)", "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 __init__(self, s)", "def _private_Valid_String","def public_Valid_String"], ["class VS", "def __init__(self, s)", "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 __init__(self, cards)", "def _private_mathematical_expression","def public_mathematical_expression"], ["class ME", "def __init__(self, cards)", "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