Question:
Question: Given an integer array **nums** and two integers **firstLen** and **secondLen**, you are to find and return the maximum sum of elements in two non-overlapping subarrays, with lengths respectively as **firstLen** and **secondLen**;
Based on the above question, create a class **OSR** in Python with the attribute **nums**; then create another class **SN_OSR** that inherits from the **OSR** class, and add two attributes **firstLen** and **secondLen**, as well as a public function **overlapping_subarray** that returns the result of the above question.

def test_run(content1,content2,content3):
    return SN_OSR(content1,content2,content3).overlapping_subarray()

assert candidate([['class OSR', 'class SN_OSR(OSR)', 'super().__init__(nums)', 'def overlapping_subarray']]) == True

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


Question:
Question: Three stones are placed on the number line at positions **a**, **b**, and **c**. In each round, you can pick up a stone from one of the ends (either the largest or smallest position) and place it in any free position between the two ends. Formally, suppose the three stones are currently at positions **x**, **y**, and **z** with x<y<z. Then you can pick up a stone from position **x** or **z** and move it to an integer position **k**, where x<k<z and k!=y. The game ends when you can't make any more moves, i.e., when the positions of the stones are consecutive. What are the minimum and maximum number of moves you can make to end the game? Return the answer in the form of a 2-length array: answer=[minimum_moves,maximum_moves];
Based on the above question, please create a class **SMT** in Python with an attribute **a**; then create a class **SN_SMT** that inherits from the **SMT** class, and add two attributes **b** and **c**, as well as a public function **Stone_movement** that returns the result of the above question.

assert candidate(1,2,5)==[1, 2]
assert candidate(4,3,2)==[0, 0]

def test_run(content1,content2,content3):
    return SN_SMT(content1,content2,content3).Stone_movement()

assert candidate([['class SMT', 'class SN_SMT(SMT)', 'super().__init__(a)', 'def Stone_movement']]) == True

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


Question:
Question: Write down the integers in **nums1** and **nums2** in the given order on two independent horizontal lines. Now, some lines can be drawn connecting the two numbers nums1[i] and nums2[j]. These lines need to satisfy the following conditions:
1. nums1[i] == nums2[j];
2. The drawn line does not intersect with any other lines (non-horizontal lines). Please note that the lines cannot intersect even at the endpoints: each number can only belong to one line. Draw lines in this way and return the maximum number of lines that can be drawn.
Please create a class called **MCT** in Python, which has the attribute **nums1**. Then create another class called **SN_MCT** that inherits from the **MCT** class, and add the attribute **nums2**, as well as a public function **max_connections** that returns the maximum number of lines that can be drawn.

def test_run(content1,content2):
    return SN_MCT(content1,content2).max_connections()

assert candidate([['class MCT', 'class SN_MCT(MCT)', 'super().__init__(nums1)', 'def max_connections']]) == True

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


Question:
Question: In a 10^6x10^6 grid, the coordinates of each cell are (x,y). Now, starting from the source cell source=[sx,sy], the intention is to rush to the target cell target=[tx,ty]. The array blocked is a list of blocked cells, where each blocked[i]=[xi,yi] indicates that the cell with coordinates (xi,yi) is forbidden to pass. Each move can go to the cell adjacent in the four directions in the grid, as long as the cell is not on the given **blocked** list. Also, it is not allowed to go out of the grid. Only when it is possible to reach the target cell target from the source cell source through a series of moves, return True. Otherwise, return False;
Based on the above question, please create a class **SGD** in Python language with the attribute **blocked**; then create a class **SN_SGD**, inherit the **SGD** class, and add two attributes **source** and **target**, and a public function **Source_grid** to return the result of the above question.

def test_run(content1,content2,content3):
    return SN_SGD(content1,content2,content3).Source_grid()

assert candidate([['class SGD', 'class SN_SGD(SGD)', 'super().__init__(blocked)', 'def Source_grid']]) == True

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


Question:
Question: You have a convex n-polygon, each vertex of which has an integer value. Given an integer array **values**, where values[i] is the value of the i-th vertex (i.e., in clockwise order). Assume the polygon is divided into n-2 triangles. For each triangle, the value of the triangle is the product of the vertex labels, and the score of the triangulation is the sum of the values of all n-2 triangles after the triangulation. Return the lowest score that can be obtained after the polygon is triangulated;
Based on the above question, please create a class **TGT** in Python, with the attribute **values**; then create a class **SN_TGT** that inherits from the **TGT** class, and add a public function **triangulation** that returns the lowest score that can be obtained after the polygon is triangulated.

def test_run(content1):
    return SN_TGT(content1).triangulation()

assert candidate([['class TGT', 'class SN_TGT(TGT)', 'super().__init__(values)', 'def triangulation']]) == 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: On an infinite plane, the robot initially stands at the point (0,0), facing north. Note:
1. North is the positive direction of the y-axis. 2. South is the negative direction of the y-axis. 3. East is the positive direction of the x-axis. 4. West is the negative direction of the x-axis. The robot can accept one of the following three instructions:
1. **G**: Go straight for 1 unit. 2. **L**: Turn left by 90 degrees. 3. **R**: Turn right by 90 degrees. The robot executes the **instructions** in order and repeats them indefinitely. Only when there is a loop in the plane that the robot can never leave, return True. Otherwise, return False;
Please create a class **EIT** in Python based on the above problem, with the property **instructions**; Then create a class **SN_EIT**, inheriting from the **EIT** class, and add a public function **Execute_instructions** to return the result of the above problem.

assert candidate("GGLLGG")==True
assert candidate("GG")==False
assert candidate("GL")==True

def test_run(content1):
    return SN_EIT(content1).Execute_instructions()

assert candidate([['class EIT', 'class SN_EIT(EIT)', 'super().__init__(instructions)', 'def Execute_instructions']]) == True

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


Question:
Question: There are **n** gardens, labeled from 1 to **n**. There is also an array **paths**, where paths[i] = [x_i, y_i] describes the bidirectional path from garden **x_i** to garden **y_i**. In each garden, you plan to plant one of four types of flowers. Moreover, each garden can have at most three paths leading in or out. You need to choose a type of flower for each garden so that the types of flowers in any two gardens connected by a path are different. Return any feasible solution as the answer **answer** in the form of an array, where answer[i] represents the type of flower planted in the (i+1)th garden. The types of flowers are represented by 1, 2, 3, and 4;
Based on the above question, create a class **PFS** in Python with the attribute **n**; then create a class **SN_PFS** that inherits from the **PFS** class, and add the attribute **paths**, as well as a public function **Planted_flowers** that returns the result of the above question.

def test_run(content1,content2):
    return SN_PFS(content1,content2).Planted_flowers()

assert candidate([['class PFS', 'class SN_PFS(PFS)', 'super().__init__(n)', 'def Planted_flowers']]) == 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 **arr**, please divide this array into some (continuous) sub-arrays with a maximum length of **k**. After the division, all values in each sub-array will become the maximum value in that sub-array. Return the maximum sum of elements that can be obtained after the array is divided and transformed;
Based on the above question, create a class **STF** in Python language with the attribute **arr**; then create a class **SN_STF** that inherits the **STF** class, and add the attribute **k**, as well as a public function **Separation_transformation** that returns the maximum sum of elements that can be obtained after the array is divided and transformed.

def test_run(content1,content2):
    return SN_STF(content1,content2).Separation_transformation()

assert candidate([['class STF', 'class SN_STF(STF)', 'super().__init__(arr)', 'def Separation_transformation']]) == True

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


Question:
Question: Given a string **s**, consider all its repeated substrings: that is, the (continuous) substrings of **s** that appear 2 or more times in **s**. These appearances may overlap. Return any one of the possible longest repeated substrings. If **s** does not contain repeated substrings, then the answer is "";
Please create a class **RST** in Python language based on the above question, with the attribute **s**; then create another class **SN_RST** that inherits from the **RST** class, and add a public function **Repeated_substring** that returns the possible longest repeated substring.

assert candidate("banana")=="ana"
assert candidate("abcd")==""

def test_run(content1):
    return SN_RST(content1).Repeated_substring()

assert candidate([['class RST', 'class SN_RST(RST)', 'super().__init__(s)', 'def Repeated_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:
Question: Given a word array **words**, each word is composed of lowercase English letters. If we can add exactly one letter anywhere in **wordA** without changing the order of other characters to make it become **wordB**, then we consider **wordA** to be the predecessor of **wordB**. For example, **abc** is the predecessor of **abac**, while **cba** is not the predecessor of **bcad**. A word chain is a sequence composed of words [word_1, word_2, ..., word_k], k>=1, where **word1** is the predecessor of **word2**, **word2** is the predecessor of **word3**, and so on. A word is usually a word chain where k==1. Choose words from the given word list **words** to form a word chain, and return the longest possible length of the word chain;
Based on the above question, please create a class **FCA** in Python with the attribute **words**; then create another class **SN_FCA** that inherits from the **FCA** class, and add a public function **Form_chain** that returns the longest possible length of the word chain.

def test_run(content1):
    return SN_FCA(content1).Form_chain()

assert candidate([['class FCA', 'class SN_FCA(FCA)', 'super().__init__(words)', 'def Form_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:
Question: There is a pile of stones, represented by an integer array **stones**. Where stones[i] represents the weight of the i-th stone. Each round, select any two stones from it and crush them together. Suppose the weights of the stones are **x** and **y**, and x <= y. Then the possible results of crushing are as follows:
1. If x == y, then both stones will be completely crushed; 2. If x != y, then the stone with weight **x** will be completely crushed, and the new weight of the stone with weight **y** is y-x. In the end, at most one stone will be left. Return the minimum possible weight of this stone. If no stones are left, return 0;
Based on the above question, please create a class **MWG** in Python, with the property **stones**; then create a class **SN_MWG** that inherits from the **MWG** class, and add a public function **Minimum_weight** to return the result of the above question.

def test_run(content1):
    return SN_MWG(content1).Minimum_weight()

assert candidate([['class MWG', 'class SN_MWG(MWG)', 'super().__init__(stones)', 'def Minimum_weight']]) == True

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


Question:
Question: Given a positive integer array **arr** (which may contain duplicate elements), please return the maximum arrangement that is lexicographically smaller than **arr** and can be obtained by one swap (swapping the positions of two numbers arr[i] and arr[j]). If such operation is not possible, please return the original array;
Based on the above question, create a class **OEH** in Python with the attribute **arr**. Then create another class **SN_OEH** that inherits from the **OEH** class, and add a public function **One_exchange** that returns the result of the above question.

def test_run(content1):
    return SN_OEH(content1).One_exchange()

assert candidate([['class OEH', 'class SN_OEH(OEH)', 'super().__init__(arr)', 'def One_exchange']]) == True

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


Question:
Question: In a warehouse, there is a row of barcodes, where the i-th barcode is barcodes[i]. Please rearrange these barcodes so that no two adjacent barcodes are the same. You can return any answer that meets this requirement, and it is guaranteed that an answer exists;
Please create a class **ABD** in Python based on the above question, with the property **barcodes**; then create a class **SN_ABD** that inherits from the **ABD** class, and add a public function **Adjacent_barcodes** that returns the result of the above question.

def test_run(content1):
    return SN_ABD(content1).Adjacent_barcodes()

assert candidate([['class ABD', 'class SN_ABD(ABD)', 'super().__init__(barcodes)', 'def Adjacent_barcodes']]) == True

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


Question:
Question: Given two strings of equal length, **s1** and **s2**, and another string, baseStr, where s1[i] and s2[i] are a pair of equivalent characters. For example, if s1 = **abc** and s2 = **cde**, then 'a' == 'c', 'b' == 'd', and 'c' == 'e'. Equivalent characters follow the general rules of any equivalence relation:
1. Reflexivity: 'a' == 'a'; 2. Symmetry: if 'a' == 'b', then 'b' == 'a'; 3. Transitivity: if 'a' == 'b' and 'b' == 'c', then 'a' == 'c'. Using the equivalence information of **s1** and **s2**, find and return the lexicographically smallest equivalent string of baseStr;
Based on the above question, please create a class **EST** in Python, with the attribute **s1**; then create another class **SN_EST**, inheriting from the **EST** class, and add two attributes **s2** and **baseStr**, as well as a public function **Equivalent_String** that returns the lexicographically smallest equivalent string of **baseStr**.

def test_run(content1,content2,content3):
    return SN_EST(content1,content2,content3).Equivalent_String()

assert candidate([['class EST', 'class SN_EST(EST)', 'super().__init__(s1)', 'def Equivalent_String']]) == True

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


Question:
Question: Given an m x n matrix **matrix**, you can select any number of columns from it and flip each cell on it. (That is, after flipping, the value of the cell changes from 0 to 1, or from 1 to 0.) Return the maximum number of rows where all values in the row are equal after some flips;
Please create a class **MRW** with the property **matrix** in Python based on the above question; then create a class **SN_MRW** that inherits the **MRW** class, and add a public function **Maximum_rows** to return the result of the above question.

def test_run(content1):
    return SN_MRW(content1).Maximum_rows()

assert candidate([['class MRW', 'class SN_MRW(MRW)', 'super().__init__(matrix)', 'def Maximum_rows']]) == True

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


Question:
Question: Given two numbers **arr1** and **arr2** in base -2, return the result of their addition;
Please create a class named **ANS** in Python based on the above question, with the attribute **arr1**. Then create another class named **SN_ANS**, which inherits from the **ANS** class, and adds the attribute **arr2**, as well as a public function **Adding_Numbers** to return the result of adding the two numbers.

def test_run(content1,content2):
    return SN_ANS(content1,content2).Adding_Numbers()

assert candidate([['class ANS', 'class SN_ANS(ANS)', 'super().__init__(arr1)', 'def Adding_Numbers']]) == True

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


Question:
Question: Given a **matrix** and a **target** value, return the number of non-empty submatrices whose sum of elements equals the target value;
Please create a class **ESI** in Python language based on the above question, with the attribute **matrix**; then create another class **SN_ESI**, inheriting from the **ESI** class, and add the attribute **target**, as well as a public function **empty_submatrix** to return the number of non-empty submatrices whose sum of elements equals the **target** value.

def test_run(content1,content2):
    return SN_ESI(content1,content2).empty_submatrix()

assert candidate([['class ESI', 'class SN_ESI(ESI)', 'super().__init__(matrix)', 'def empty_submatrix']]) == True

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


Question:
Question: You have a set of movable type **tiles**, each of which is engraved with a letter tiles[i]. Return the number of non-empty letter sequences you can print;
Please create a class **LSQ** based on the above question, with the attribute **tiles** using Python language; then create another class **SN_LSQ**, inheriting from the **LSQ** class, and add a public function **letter_sequence** that returns the number of non-empty letter sequences that can be printed.

assert candidate("AAB")==8
assert candidate("AAABBC")==188
assert candidate("V")==1

def test_run(content1):
    return SN_LSQ(content1).letter_sequence()

assert candidate([['class LSQ', 'class SN_LSQ(LSQ)', 'super().__init__(tiles)', 'def letter_sequence']]) == 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: Return the subsequence of **s** with the smallest lexicographical order, which contains all distinct characters of **s** and only contains them once;
Based on the above question, create a class **SSU** in Python language with the attribute **s**. Then create another class **SN_SSU**, which inherits from the **SSU** class, and add a public function **smallest_subsequence** to return the result of the above question.

assert candidate("bcabc")=="abc"
assert candidate("cbacdcbc")=="acdb"

def test_run(content1):
    return SN_SSU(content1).smallest_subsequence()

assert candidate([['class SSU', 'class SN_SSU(SSU)', 'super().__init__(s)', 'def smallest_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: We have a set of **n** items. Two integer arrays, **values** and **labels**, are given, where the value and label of the i-th element are values[i] and labels[i] respectively. Two more integers, **numWanted** and **useLimit**, are also given. We are to select a subset **s** from the **n** elements such that:
1. The size of subset **s** is less than or equal to numWanted. 2. There are at most useLimit items with the same label in **s**. The score of a subset is the sum of the values of the subset. The task is to return the maximum score of subset **s**;
Based on the above question, please create a class named **MSR** in Python, which has the attribute **values**. Then create another class **SN_MSR**, which inherits from the **MSR** class, and adds three attributes: **labels**, **numWanted**, and **useLimit**, as well as a public function **Maximum_score** that returns the maximum score of subset **s**.

def test_run(content1,content2,content3,content4):
    return SN_MSR(content1,content2,content3,content4).Maximum_score()

assert candidate([['class MSR', 'class SN_MSR(MSR)', 'super().__init__(values)', 'def Maximum_score']]) == True

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


Question:
Question: Given an n x n binary matrix **grid**, return the length of the shortest unobstructed path in the matrix. If such a path does not exist, return -1;
Based on the above question, please create a **UPT** class in Python with a **grid** attribute; then create a **SN_UPT** class that inherits the **UPT** class, and add a public **Unobstructed_path** function to return the result of the above question.

def test_run(content1):
    return SN_UPT(content1).Unobstructed_path()

assert candidate([['class UPT', 'class SN_UPT(UPT)', 'super().__init__(grid)', 'def Unobstructed_path']]) == True

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


Question:
Question: Given two strings **str1** and **str2**, return the shortest string that has both **str1** and **str2** as subsequences;
Please create a class **SSI** in Python, which has the attribute **str1**. Then create another class **SN_SSI** that inherits from the **SSI** class, and add the attribute **str2**, as well as a public function **Shortest_string** to return the shortest string that has both **str1** and **str2** as subsequences.

def test_run(content1,content2):
    return SN_SSI(content1,content2).Shortest_string()

assert candidate([['class SSI', 'class SN_SSI(SSI)', 'super().__init__(str1)', 'def Shortest_string']]) == True

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


Question:
Question: Initially, there are **capacity** empty seats on the bus. The bus can only travel in one direction (that is, it is not allowed to turn around or change direction). Given the integer **capacity** and an array **trips**, trip[i] = [numPassengers_i, from_i, to_i] indicates that there are **numPassengers_i** passengers in the i-th trip, and their pick-up and drop-off locations are **from_i** and **to_i** respectively. These locations are the kilometers from the initial position of the car to the east. Return True only and only when you can pick up and drop off all passengers in all given trips, otherwise please return False;
Based on the above question, please create a class **PPG** using Python language, with the attribute **trips**; then create a class **SN_PPG** that inherits the **PPG** class, and add the attribute **capacity**, and a public function **Pick_passengers** that returns the result of the above question.

def test_run(content1,content2):
    return SN_PPG(content1,content2).Pick_passengers()

assert candidate([['class PPG', 'class SN_PPG(PPG)', 'super().__init__(trips)', 'def Pick_passengers']]) == 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 mountain array **mountainArr**, please return the smallest index **index** that makes mountainArr.get(index) equal to **target**. If there is no such index **index**, please return -1. What is a mountain array? If array **A** is a mountain array, then it satisfies the following conditions:
1. A.length>=3; 2. Under the condition of 0<i<A.length-1, there exists i such that: A[0]<A[1]<...A[i-1]<A[i]; A[i]>A[i+1]>...>A[A.length-1];
Based on the above question, please use Python language to create a class **MAR** with the property **array**; then create a class **SN_MAR** that inherits the **MAR** class, and add the property **target**, as well as a public function **Mountain_array** that returns the result of the above question.

def test_run(content1,content2):
    return SN_MAR(content1,content2).Mountain_array()

assert candidate([['class MAR', 'class SN_MAR(MAR)', 'super().__init__(array)', 'def Mountain_array']]) == True

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


Question:
Question: Given a boolean expression **expression** in string form, return the result of the operation. A boolean expression is an expression whose result is either True or False. Valid expressions must follow the following conventions:
1. 't', the operation result is True; 2. 'f', the operation result is False; 3. '!(subExpr)', the operation process is to perform logical NOT operation on the internal expression subExpr; 4. '&(subExpr1,subExpr2,...,subExprn)', the operation process is to perform logical AND operation on two or more internal expressions subExpr1, subExpr2,...,subExprn; 5. '|(subExpr1,subExpr2,...,subExprn)', the operation process is to perform logical OR operation on two or more internal expressions subExpr1, subExpr2,...,subExprn;
Based on the above question, please create a class **BLS** in Python with the attribute **expression**. Then create another class **SN_BLS** that inherits from the **BLS** class, and add a public function **Booleans** to return the result of the above question.

assert candidate("&(|(f))")==False
assert candidate("|(f,f,f,t)")==True
assert candidate("!(&(f,t))")==True

def test_run(content1):
    return SN_BLS(content1).Booleans()

assert candidate([['class BLS', 'class SN_BLS(BLS)', 'super().__init__(expression)', 'def Booleans']]) == 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: Here we have **n** flights, numbered from 1 to **n**. There is a flight booking sheet **bookings**. The i-th booking record in the sheet, bookings[i]=[firsti,lasti,seatsi], means that **seatsi** seats have been booked on each flight from **firsti** to **lasti** (including **firsti** and **lasti**). Please return an array **answer** of length **n**, where each element is the total number of seats booked for each flight;
Based on the above question, please create a class **RSA** in Python language with the attribute **bookings**; then create a class **SN_RSA** that inherits from the **RSA** class, and add the attribute **n**, as well as a public function **Reserved_seats** that returns the result of the above question.

def test_run(content1,content2):
    return SN_RSA(content1,content2).Reserved_seats()

assert candidate([['class RSA', 'class SN_RSA(RSA)', 'super().__init__(expression)', 'def Reserved_seats']]) == True

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


Question:
Question: Given a work schedule **hours**, which records the daily working hours of an employee. We consider that if the working hours of an employee in a day exceed 8 hours, then this day is a tiring day. The so-called good performance period means that during this period, the number of tiring days is strictly greater than the number of non-tiring days. Please return the maximum length of the good performance period;
Please create a **PWL** class in Python based on the above question, with the attribute **hours**; then create a **SN_PWL** class that inherits the **PWL** class, and add a public **Performing_well** function to return the maximum length of the good performance period.

def test_run(content1):
    return SN_PWL(content1).Performing_well()

assert candidate([['class PWL', 'class SN_PWL(PWL)', 'super().__init__(hours)', 'def Performing_well']]) == 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: As a project manager, you have planned a list of required skills **req_skills**, and intend to select some people from the list of alternative personnel **people** to form a **necessary team** (the alternative personnel numbered **i**, people[i], has a list of skills that this alternative personnel masters). The so-called necessary team is a team in which, for each skill listed in the required skill list **req_skills**, at least one member of the team has already mastered it. The team members can be represented by the numbers of each person: please return any necessary team of the smallest scale, with the team members represented by the personnel numbers. You can return the answer in any order, and the question data guarantees that the answer exists;
Please create a class **NTM** in Python based on the above question, with the attribute **req_skills**; then create a class **SN_NTM** that inherits the **NTM** class, and add the attribute **people**, as well as a public function **Necessary_team** that returns the result of the above question.

def test_run(content1,content2):
    return SN_NTM(content1,content2).Necessary_team()

assert candidate([['class NTM', 'class SN_NTM(NTM)', 'super().__init__(req_skills)', 'def Necessary_team']]) == 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 **n**, which is the number of nodes in a directed graph, where the nodes are labeled from 0 to n-1. Each edge in the graph is either red or blue, and there may be self-loops or parallel edges. Given two arrays **redEdges** and **blueEdges**, where:
1. redEdges[i]=[a_i,b_i] represents that there is a red directed edge from node **a_i** to node **b_i** in the graph, 2. **blueEdges[j]=[u_j,v_j]** represents that there is a blue directed edge from node **u_j** to node **v_j** in the graph. Return an array **answer** of length **n**, where answer[X] is the length of the shortest path from node 0 to node **X** with alternating appearances of red and blue edges. If such a path does not exist, then answer[x]=-1;
Please create a class **AAR** with the attribute **n** using Python based on the above question; then create a class **SN_AAR** that inherits the **AAR** class, and add two attributes **red_edges** and **blue_edges**, as well as a public function **Alternating_appearance** that returns the result of the above question.

def test_run(content1,content2,content3):
    return SN_AAR(content1,content2,content3).Alternating_appearance()

assert candidate([['class AAR', 'class SN_AAR(AAR)', 'super().__init__(n)', 'def Alternating_appearance']]) == True

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


Question:
Question: Given two integer arrays of equal length, return the maximum value of the following expression: |arr1[i]-arr1[j]|+|arr2[i]-arr2[j]|+|i-j| where the indices **i**, **j** satisfy 0<=i,j<arr1.length;
Based on the above question, please create a class **MES** in Python, which has the attribute **arr1**. Then create another class **SN_MES**, inheriting from the **MES** class, and add the attribute **arr2**, as well as a public function **Maximum_expression** to return the result of the above question.

def test_run(content1,content2):
    return SN_MES(content1,content2).Maximum_expression()

assert candidate([['class MES', 'class SN_MES(MES)', 'super().__init__(arr1)', 'def Maximum_expression']]) == True

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


Question:
Question: Given a two-dimensional **grid** composed of several 0s and 1s, please find the largest square sub-grid whose boundaries are all composed of 1s, and return the number of elements in the sub-grid. If it does not exist, return 0;
Please create a class **SSR** with the property **grid** in Python based on the above question; then create a class **SN_GGG** that inherits from the **GGG** class, and add a public function **Square_subgrid** to return the result of the above question.

def test_run(content1):
    return SN_GGG(content1).Square_subgrid()

assert candidate([['class SSR', 'class SN_GGG(GGG)', 'super().__init__(grid)', 'def Square_subgrid']]) == True

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


Question:
Question: Alice and Bob continue their stone game. Many piles of stones are lined up, each pile has a positive integer number of stones piles[i]. The game is decided by who has the most stones in their hands. Alice and Bob take turns, with Alice starting first. Initially, M=1. In each player's turn, the player can take all the stones from the remaining first **X** piles, where 1<=X<=2M. Then, let M=max(M,X). The game continues until all the stones are taken. Assuming Alice and Bob both play at their best, return the maximum number of stones Alice can get;
Based on the above question, please create a class **SGA** using Python language, with the attribute **piles**; then create a class **SN_SGA** that inherits the **SGA** class, and add a public function **Stone_Game** to return the maximum number of stones Alice can get.

def test_run(content1):
    return SN_SGA(content1).Stone_Game()

assert candidate([['class SGA', 'class SN_SGA(SGA)', 'super().__init__(piles)', 'def Stone_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:
Question: Given two strings **text1** and **text2**, return the length of the longest common subsequence of these two strings. If there is no common subsequence, return 0. A subsequence of a string is a new string that is formed by deleting some characters (or no characters) from the original string without changing the relative order of the characters. The common subsequence of two strings is a subsequence that the two strings both have;
Based on the above question, please create a class **SSN** in Python, with the attribute **text1**; then create another class **SN_SSN** that inherits from the **SSN** class, and add the attribute **text2**, as well as a public function **Shared_subsequences** to return the result of the above question.

assert candidate("abcde","ace")==3
assert candidate("abc","abc")==3
assert candidate("abc","def")==0

def test_run(content1,content2):
    return SN_SSN(content1,content2).Shared_subsequences()

assert candidate([['class SSN', 'class SN_SSN(SSN)', 'super().__init__(text1)', 'def Shared_subsequences']]) == 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**, each operation will select an element and decrease its value by 1. If one of the following conditions is met, then array **A** is a zigzag array:
1. Each element corresponding to an even index is greater than its adjacent elements, i.e., A[0]>A[1]<A[2]>A[3]<A[4]>...;
2. Or, each element corresponding to an odd index is greater than its adjacent elements, i.e., A[0]<A[1]>A[2]<A[3]>A[4]<...;
Return the minimum number of operations required to convert the array **nums** into a zigzag array.

Based on the above question, please create a class **JAR** in Python language, which has the attribute **nums**. Then create a class **SN_JAR** that inherits from the **JAR** class, and add a public function **Jagged_array** to return the minimum number of operations required to convert the integer array **nums** into a zigzag array.

assert candidate([1,2,3])==2
assert candidate([9,6,1,6,2])==4

def test_run(content1):
    return SN_JAR(content1).Jagged_array()

assert candidate([['class JAR', 'class SN_JAR(JAR)', 'super().__init__(nums)', 'def Jagged_array']]) == True

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


Question:
Question: You will be given a string **text**, which should be divided into **k** substrings (subtext1, subtext2,…,subtextk), with the following requirements:
1. Each **subtexti** is a non-empty string;
2. The concatenation of all substrings equals to **text** (i.e., subtext1+subtext2+...+subtextk==text);
3. For all valid values of **i** (i.e., 1<=i<=k), subtexti==subtextk-i+1 should hold True;
The task is to return the maximum possible value of **k**.
Please create a class **ESI** in Python, which has the attribute **text**. Then create another class **SN_ESI**, which inherits from the **ESI** class, and add a public function **empty_string** that returns the maximum possible value of **k**.

def test_run(content1):
    return SN_ESI(content1).empty_string()

assert candidate([['class ESI', 'class SN_ESI(ESI)', 'super().__init__(text)', 'def empty_string']]) == True

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


Question:
Question: Here we have **n** identical dice, each with **k** faces, numbered from 1 to **k**. Given three integers **n**, **k**, and **target**, return the number of possible ways (out of a total of k^n ways) to roll the dice so that the sum of the numbers facing up equals **target**;
Based on the above question, please create a class **FUP** in Python, with the attribute **n**; then create another class **SN_FUP**, inheriting from the **FUP** class, and add two attributes **k** and **target**, as well as a public function **face_up** that returns the result of the above question.

assert candidate(1,6,3)==1
assert candidate(2,6,7)==6
assert candidate(30,30,500)==222616187

def test_run(content1,content2,content3):
    return SN_FUP(content1,content2,content3).face_up()

assert candidate([['class FUP', 'class SN_FUP(FUP)', 'super().__init__(n)', 'def face_up']]) == True

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


Question:
Question: If all characters in a string are the same, then the string is a single-character repeated string. Given a string **text**, you can only swap two characters once or do nothing, and then get some single-character repeated substrings. Return the length of the longest substring;
Please create a **DSN** class in Python based on the above question, with the attribute **text**. Then create a class **SN_DSN** that inherits from the **DSN** class, and add a public function **Duplicate_string** that returns the length of the longest substring.

assert candidate("ababa")==3
assert candidate("aaabaaa")==6
assert candidate("aaabbaaa")==4
assert candidate("aaaaa")==5
assert candidate("abcdef")==1

def test_run(content1):
    return SN_DSN(content1).Duplicate_string()

assert candidate([['class DSN', 'class SN_DSN(DSN)', 'super().__init__(text)', 'def Duplicate_string']]) == True

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


Question:
Question: You currently have a **grid** of size n x n in your hand, with each cell marked with 0 and 1. Here, 0 represents the ocean, and 1 represents the **land**. Please find an ocean cell where the distance to the nearest land cell is the maximum, and return this distance. If the grid only contains land or ocean, please return -1;
Based on the above question, create an **OCL** class in Python language with the **grid** attribute; then create a **SN_OCL** class that inherits the **OCL** class, and add a public **Ocean_Cell** function to return the result of the above question.

def test_run(content1):
    return SN_OCL(content1).Ocean_Cell()

assert candidate([['class OCL', 'class SN_OCL(OCL)', 'super().__init__(grid)', 'def Ocean_Cell']]) == True

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


Question:
Question: Given a string **s**, find all its substrings and sort them in lexicographical order, return the last substring;
Based on the above question, create a class **LAM** in Python language with the attribute **s**; then create another class **SN_LAM**, inheriting from the **LAM** class, and add a public function **Lexicographic_arrangement** to return the last substring.

assert candidate("abab")=="bab"
assert candidate("leetcode")=="tcode"

def test_run(content1):
    return SN_LAM(content1).Lexicographic_arrangement()

assert candidate([['class LAM', 'class SN_LAM(LAM)', 'super().__init__(s)', 'def Lexicographic_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:
Question: A transaction may be invalid under the following two circumstances:
1. The transaction amount exceeds $1000; 2. Or, it is not more than 60 minutes (including 60 minutes) apart from another transaction with the same name in another city; Given the string array transaction list **transactions**. Each transaction string transactions[i] is composed of some values separated by commas, which represent the name, time (in minutes), amount, and city of the transaction. Return **transactions**, return the list of possible invalid transactions;
Please create a class **TLI** in Python language based on the above question, with the attribute **transactions**; then create another class **SN_TLI** that inherits from the **TLI** class, and add a public function **Transaction_List** that returns the result of the above question.

def test_run(content1):
    return SN_TLI(content1).Transaction_List()

assert candidate([['class TLI', 'class SN_TLI(TLI)', 'super().__init__(transactions)', 'def Transaction_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:
Question: Given two integer arrays **arr1** and **arr2**, return the minimum number of operations required to make **arr1** strictly increasing (possibly 0). In each operation, you can select an index from both **arr1** and **arr2**, respectively **i** and **j**, where 0<=i<arr1.length and 0<=j<arr2.length, and then perform the assignment operation arr1[i]=arr2[j]. If it is impossible to make **arr1** strictly increasing, please return -1;
Based on the above question, please create a class **SII** in Python language with the property **arr1**; then create another class **SN_SII** that inherits the **SII** class, and add the property **arr2**, as well as a public function **Strictly_Increasing** that returns the result of the above question.

def test_run(content1,content2):
    return SN_SII(content1,content2).Strictly_Increasing()

assert candidate([['class SII', 'class SN_SII(SII)', 'super().__init__(arr1)', 'def Strictly_Increasing']]) == True

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


Question:
Question: Given a string **s** (containing only lowercase English letters and parentheses), please reverse the string in each pair of matching parentheses from the inside out in order, and return the final result;
Based on the above question, please create a class **MBC** in Python language with the attribute **s**. Then create another class **SN_MBC** that inherits from the **MBC** class, and add a public function **Match_Brace** to return the final result.

def test_run(content1):
    return SN_MBC(content1).Match_Brace()

assert candidate([['class MBC', 'class SN_MBC(MBC)', 'super().__init__(s)', 'def Match_Brace']]) == 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 **arr** and an integer **k**, modify the array by repeating **k** times. Return the sum of the largest subarray in the modified array;
Please create a class **SSA** in Python based on the above question, with the attribute **arr**. Then create a class **SN_SSA** that inherits from the **SSA** class, and add the attribute **k**, as well as a public function **Sum_subarrays** that returns the sum of the largest subarray in the modified array.

assert candidate([1,2],3)==9
assert candidate([1,-2,1],5)==2
assert candidate([-1,-2],7)==0

def test_run(content1,content2):
    return SN_SSA(content1,content2).Sum_subarrays()

assert candidate([['class SSA', 'class SN_SSA(SSA)', 'super().__init__(k)', 'def Sum_subarrays']]) == 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 integers: **n**, **a**, **b**, **c**, please design an algorithm to find the n-th ugly number;
Based on the above question, create a class **UNB** in Python, with the attribute **n**; then create another class **SN_UNB**, inheriting from the **UNB** class, and add three attributes **a**, **b** and **c**, as well as a public function **Ugly_number** to return the n-th ugly number.

def test_run(content1,content2,content3,content4):
    return SN_UNB(content1,content2,content3,content4).Ugly_number()

assert candidate([['class UNB', 'class SN_UNB(UNB)', 'super().__init__(n)', 'def Ugly_number']]) == True

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


Question:
Question: Given a string **s** and some index pairs array **pairs** in the string, where pairs[i]=[a,b] represents two indexes in the string (numbered from 0). You can swap the characters at any pair of indexes in pairs any number of times. Return the lexicographically smallest string that **s** can become after several swaps;
Based on the above question, please create a class **DMM** in Python with the attribute **s**; then create a class **SN_DMM** that inherits the **DMM** class, and add the attribute **pairs**, as well as a public function **Dictionary_minimum** to return the result of the above question.

def test_run(content1,content2):
    return SN_DMM(content1,content2).Dictionary_minimum()

assert candidate([['class DMM', 'class SN_DMM(DMM)', 'super().__init__(s)', 'def Dictionary_minimum']]) == True

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


Question:
Question: Given two strings of equal length, **s** and **t**. Changing the i-th character in **s** to the i-th character in **t** requires a cost of |s[i]-t[i]| (the cost could be 0), which is the absolute difference of the ASCII values of the two characters. The maximum budget for changing the string is **maxCost**. During the string transformation, the total cost should be less than or equal to this budget, which also means that the string transformation may be incomplete. If you can transform a substring of **s** into its corresponding substring in **t**, then return the maximum length that can be transformed. If there is no substring in **s** that can be transformed into a corresponding substring in **t**, then return 0;
Based on the above question, please create a class named **MBG** in Python, which has an attribute **s**. Then create a class named **SN_MBG**, which inherits from the **MBG** class, and adds two attributes **t** and **maxCost**, as well as a public function **Maximum_budget** to return the result of the above question.

assert candidate("abcd","bcdf",3)==3
assert candidate("abcd","cdef",3)==1
assert candidate("abcd","acde",0)==1

def test_run(content1,content2,content3):
    return SN_MBG(content1,content2,content3).Maximum_budget()

assert candidate([['class MBG', 'class SN_MBG(MBG)', 'super().__init__(s)', 'def Maximum_budget']]) == True

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


Question:
Question: Given a string **s**, the **k** times repeated item deletion operation will select **k** adjacent and equal letters from **s** and delete them, connecting the left and right sides of the deleted string. You need to repeatedly perform such deletion operations on **s** indefinitely until it can no longer continue. After all deletion operations are completed, return the final obtained string;
Based on the above question, please create a class **DOT** in Python language with the attribute **s**; then create a class **SN_DOT**, inherit the **DOT** class, and add the attribute **k**, as well as a public **Delete_Operation** function to return the final obtained string.

def test_run(content1,content2):
    return SN_DOT(content1,content2).Delete_Operation()

assert candidate([['class DOT', 'class SN_DOT(DOT)', 'super().__init__(s)', 'def Delete_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:
Question: Given an integer array **arr** and an integer **difference**, please find and return the length of the longest arithmetic subsequence in **arr**, where the difference between adjacent elements equals **difference**;
Based on the above question, please create a class **ESQ** in Python, which has the attribute **arr**. Then create another class **SN_ESQ**, inheriting from the **ESQ** class, and add the attribute **difference**, as well as a public function **Equidistant_subsequence** to return the length of the longest arithmetic subsequence in the integer array **arr**.

def test_run(content1,content2):
    return SN_ESQ(content1,content2).Equidistant_subsequence()

assert candidate([['class ESQ', 'class SN_ESQ(ESQ)', 'super().__init__(arr)', 'def Equidistant_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: You are to develop a gold mine. Geological surveyors have determined the resource distribution in the mine and marked it with an m*n grid. Each integer in a cell represents the amount of gold in that cell; if the cell is empty, it is 0. To maximize profits, miners need to mine gold according to the following rules:
1. Whenever a miner enters a cell, he collects all the gold in that cell. 2. Miners can move up, down, left, and right from their current position. 3. Each cell can only be mined (entered) once. 4. Cells with zero gold cannot be mined (entered). 5. Miners can start or stop from any cell with gold in the grid;
Based on the above question, please use Python to create a class **RDB** with the attribute **grid**. Then create a class **SN_RDB** that inherits from the **RDB** class and add a public function **resource_distribution** that returns the result of the above question.

def test_run(content1):
    return SN_RDB(content1).resource_distribution()

assert candidate([['class RDB', 'class SN_RDB(RDB)', 'super().__init__(grid)', 'def resource_distribution']]) == 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 **n**, please help to count how many strings of length **n** can be formed according to the following rules:
1. Each character in the string should be a lowercase vowel ('a', 'e', 'i', 'o', 'u'); 2. Each vowel 'a' can only be followed by 'e'; 3. Each vowel 'e' can only be followed by 'a' or 'i'; 4. Each vowel 'i' cannot be followed by another 'i'; 5. Each vowel 'o' can only be followed by 'i' or 'u'; 6. Each vowel 'u' can only be followed by 'a';
Please create a class named **FSG** in Python, with an attribute **n**; then create another class **SN_FSG** that inherits from the **FSG** class, and add a public method **Forming_String** that returns the result of the above question.

assert candidate(1)==5
assert candidate(2)==10
assert candidate(5)==68

def test_run(content1):
    return SN_FSG(content1).Forming_String()

assert candidate([['class FSG', 'class SN_FSG(FSG)', 'super().__init__(n)', 'def Forming_String']]) == True

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


Question:
Question: On an 8x8 chessboard, there are several black queens and one white king. Given an array of integer coordinates **queens**, representing the positions of the black queens; and a pair of coordinates **king**, representing the position of the white king, return the coordinates of all queens that can attack the king (in any order);
Based on the above question, please use python language to create a class **CKB** with the property **queens**; then create a class **SN_CKB**, inheriting from the **CKB** class, and add the property **king**, as well as a public **checkerboard** function to return the coordinates of all queens that can attack the king.

def test_run(content1,content2):
    return SN_CKB(content1,content2).checkerboard()

assert candidate([['class CKB', 'class SN_CKB(CKB)', 'super().__init__(queens)', 'def checkerboard']]) == 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: Create a class named **SBFD** in Python, with properties **nums**, **left**, and **right**, as well as a public function named **find_subarray**. In the public function **find_subarray**, identify and return the count of contiguous, non-empty subarrays within **nums** where the maximum element falls within the range **[left, right]**. Next, create a class named **SN_FDSB** that inherits from the **SBFD** class and add a public function named **find_subarray**. This method should return the count of elements in **nums** within the range **[left, right]**, inclusive of both **left** and **right**. If the range is empty, the function should return 0.

def test_run(content1, content2, content3, res1, res2):
    if SBFD(content1, content2, content3).find_subarray()==res1 and SN_FDSB(content1, content2, content3).find_subarray() == res2
        return True
    else:
        return False

assert candidate([["class SBFD", "def __init__(self, nums, left, right)", "class SN_FDSB", "def find_subarray"]]) == True

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


Question: First, write a class named **STR** in Python, which has an instance attribute, **s**, and a public function named **without_duplicates**. In the public function **without_duplicates**, based on the instance attribute **s**, find the length of the longest substring without duplicate characters. Next, create a class named **SUB_STR** that inherits from the **STR** class and add a public function named **without_duplicates**. In the public function **without_duplicates** of the **SUB_STR** class, find the maximum distance between repeated characters in the instance attribute **s**.

assert candidate("abcabcbb", 3, 3)==True

assert candidate("abcabcccbb", 3, 4)==True

assert candidate("pwwkeyow", 5, 5)==True

def test_run(content1, res1, res2):
    if STR(content1).without_duplicates()==res1 and SUB_STR(content1).without_duplicates() == res2
        return True
    else:
        return False

assert candidate([["class STR", "def __init__(self, s)", "class SUB_STR", "def without_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: Using the Python language, start by creating a class named **PLDR** with an instance attribute **number** and a public function **PLind**. Within the **PLind** function, check if a given number is a palindrome; return **True** if it is, otherwise return **False**. Next, create a subclass named **SUBPLDR** that inherits from the **PLDR** class, and introduce a public function **PLind**. In the **PLind** function of the **SUBPLDR** class, assess whether a given number is a palindrome string; return **True** if it is, otherwise return **False**.

assert candidate(1211, "abcabcbb", False, False)==True

assert candidate(121, "abcabcccbb", True, False)==True

assert candidate(4576, "level", False, True)==True

def test_run(content1, content2, res1, res2):
    if PLDR(content1).PLind()==res1 and SUBPLDR(content2).PLind() == res2
        return True
    else:
        return False

assert candidate([["class PLDR", "def __init__(self, number)", "class SUBPLDR", "def PLind"]]) == 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