Datasets:

codeai-dteam

/

oop

like 1

OOP/400

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()

test_run

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

OOP/401

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.

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

test_run

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

OOP/402

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()

test_run

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

OOP/403

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()

test_run

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

OOP/404

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()

test_run

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

OOP/405

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()

test_run

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

OOP/406

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()

test_run

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

OOP/407

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()

test_run

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

OOP/408

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()

test_run

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

OOP/409

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.

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

test_run

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

OOP/410

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.

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

test_run

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

OOP/411

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()

test_run

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

OOP/412

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.

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

test_run

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

OOP/413

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.

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

test_run

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

OOP/414

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()

test_run

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

OOP/415

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.

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

test_run

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

OOP/416

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()

test_run

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

OOP/417

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()

test_run

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

OOP/418

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()

test_run

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

OOP/419

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.

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

test_run

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

OOP/420

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()

test_run

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

OOP/421

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()

test_run

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

OOP/422

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.

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

test_run

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

OOP/423

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()

test_run

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

OOP/424

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()

test_run

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

OOP/425

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()

test_run

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

OOP/426

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.

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

test_run

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

OOP/427

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()

test_run

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

OOP/428

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

test_run

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

OOP/429

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**.

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

test_run

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

OOP/430

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**.

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

test_run

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

OOP/0

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

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

test_run

assert candidate([["class FDSB", "def __init__(self, nums)", "def find_subarray", "def __init__(self, nums, left, right)", "super().__init__(nums)", "def find_subarray"]]) == True

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

OOP/1

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

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

test_run

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

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

OOP/2

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

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

test_run

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

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

OOP/3

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

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

test_run

assert candidate([["class EE", "def __init__(self, nums1)", "class SN_EE(EE)", "def __init__(self, nums1, nums2)", "super().__init__(nums1)", "def Exchange_Elements"]]) == True

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

OOP/4

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

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

test_run

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

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

OOP/5

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

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

test_run

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

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

OOP/6

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

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

test_run

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

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

OOP/7

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

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

test_run

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

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

OOP/8

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

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

test_run

assert candidate([["class TSN", "def __init__(self, routes)", "class SN_TSN(TSN)", "def __init__(self, routes, source, target)", "super().__init__(routes)", "def Terminal_Station"]]) == True

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

OOP/9

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

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

test_run

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

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

OOP/10

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

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

test_run

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

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

OOP/11

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

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

test_run

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

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

OOP/12

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

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

test_run

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

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

OOP/13

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

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

test_run

assert candidate([["class MPT", "def __init__(self, difficulty)", "class SN_MPT(MPT)", "def __init__(self, difficulty, profit, worker)", "super().__init__(difficulty)", "def Maximum_profit"]]) == True

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

OOP/14

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

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

test_run

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

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

OOP/15

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

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

test_run

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

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

OOP/16

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

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

test_run

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

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

OOP/17

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

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

test_run

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

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

OOP/18

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

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

test_run

assert candidate([["class OQT", "def __init__(self, img1)", "class SN_OQT(OQT)", "def __init__(self, img1, img2)", "super().__init__(img1)", "def Overlap_quantity"]]) == True

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

OOP/19

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

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

test_run

assert candidate([["class ROP", "def __init__(self, rec1)", "class SN_ROP(ROP)", "def __init__(self, rec1, rec2)", "super().__init__(rec1)", "def Rectangle_overlap"]]) == True

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

OOP/20

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

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

test_run

assert candidate([["class ENS", "def __init__(self, n)", "class SN_ENS(ENS)", "def __init__(self, n, k, maxPts)", "super().__init__(n)", "def Extract_Numbers"]]) == True

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

OOP/21

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

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

test_run

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

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

OOP/22

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

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

test_run

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

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

OOP/23

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

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

test_run

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

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

OOP/24

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

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

test_run

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

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

OOP/25

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

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

test_run

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

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

OOP/26

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

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

test_run

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

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

OOP/27

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

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

test_run

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

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

OOP/28

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

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

test_run

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

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

OOP/29

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

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

test_run

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

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

OOP/30

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

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

test_run

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

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

OOP/31

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

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

test_run

assert candidate([["class MVE", "def __init__(self, s1)", "class SN_MVE(MVE)", "def __init__(self, s1, s2)", "super().__init__(s1)", "def Minimum_value"]]) == True

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

OOP/32

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

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

test_run

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

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

OOP/33

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

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

test_run

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

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

OOP/34

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

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

test_run

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

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

OOP/35

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

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

test_run

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

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

OOP/36

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

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

test_run

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

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

OOP/37

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

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

test_run

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

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

OOP/38

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

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

test_run

assert candidate([["class MAS", "def __init__(self, nums1)", "class SN_MAS(MAS)", "def __init__(self, nums1, nums2)", "super().__init__(nums1)", "def Maximizing_Advantages"]]) == True

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

OOP/39

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

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

test_run

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

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

OOP/40

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

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

test_run

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

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

OOP/41

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

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

test_run

assert candidate([["class MNS", "def __init__(self, n)", "class SN_MNS(MNS)", "def __init__(self, n, a, b)", "super().__init__(n)", "def Magical_Numbers"]]) == True

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

OOP/42

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

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

test_run

assert candidate([["class PPN", "def __init__(self, n)", "class SN_PPN(PPN)", "def __init__(self, n, minProfit, group, profit)", "super().__init__(n)", "def Profit_Plan"]]) == True

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

OOP/43

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

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

test_run

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

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

OOP/44

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

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

test_run

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

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

OOP/45

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

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

test_run

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

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

OOP/46

Question: On a grid of rows x cols, you start from the cell (rStart, cStart) facing east. The northwest corner of the grid is at the first row and the first column, and the southeast corner is at the last row and the last column. You need to walk in a clockwise spiral, visiting every position in this grid. Whenever you move beyond the boundary of the grid, you need to continue walking outside the grid (but you may return to the grid boundary later). Eventually, we have visited all the rows x cols spaces in the grid. Return the list of coordinates representing the grid positions in the order of visit; Based on the above question, please create a class **CLT** in Python language with the property **rows**; then create another class **SN_CLT** that inherits the **CLT** class, and add three properties **cols**, **rStart** and **cStart**, as well as a public function **Coordinate_List** to return the list of coordinates representing the grid positions in the order of visit.

def test_run(content1,content2,content3,content4): return SN_CLT(content1,content2,content3,content4).Coordinate_List()

test_run

assert candidate([["class CLT", "def __init__(self, rows)", "class SN_CLT(CLT)", "def __init__(self, rows, cols, rStart, cStart)", "super().__init__(rows)", "def Coordinate_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

OOP/47

Question: Given a set of **n** people (numbered 1,2,...,n), we want to divide each person into two groups of any size. Each person may not like others, so they should not belong to the same group. Given the integer **n** and the array **dislikes**, where dislikes[i]=[a_i,b_i], it is not allowed to put the people numbered **a_i** and **b_i** into the same group. When all people can be divided into two groups in this way, return True; otherwise, return False; Based on the above question, please create a class **GPG** in Python with the attribute **n**; then create a class **SN_GPG** that inherits from the **GPG** class, and add the attribute **dislikes**, as well as a public function **grouping** to determine whether each person can be divided into two groups of any size given the integer **n**and the array **dislikes**. If it is possible, return True; otherwise, return False.

def test_run(content1,content2): return SN_GPG(content1,content2).grouping()

test_run

assert candidate([["class GPG", "def __init__(self, n)", "class SN_GPG(GPG)", "def __init__(self, n, dislikes)", "super().__init__(n)", "def grouping"]]) == True

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

OOP/48

Question: You are given **k** identical eggs and you have access to a building with **n** floors from the 1st floor to the n-th floor. It is known that there exists a floor **f**, satisfying 0<=f<=n, any eggs dropped from a floor higher than **f** will break, and those dropped from the **f** floor or lower will not break. Each time, you can take an unbroken egg and drop it from any floor **x** (satisfying 1<=x<=n). If the egg breaks, you cannot use it again. If an egg does not break after being dropped, it can be reused in subsequent operations. Please calculate and return the minimum number of operations to determine the exact value of **f**. Please create a class **NOS** in Python based on the above problem, with the attribute **k**. Then create a class **SN_NOS** that inherits from the **NOS** class, adds the attribute **n**, and a public function **number_operations** to calculate and return the minimum number of operations to determine the exact value of **f**.

def test_run(content1,content2): return SN_NOS(content1,content2).number_operations()

test_run

assert candidate([["class NOS", "def __init__(self, k)", "class SN_NOS(NOS)", "def __init__(self, k, n)", "super().__init__(k)", "def number_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

OOP/49

Question: The width of a sequence is defined as the difference between the maximum and minimum elements in the sequence. Given an integer array **nums**, return the sum of the widths of all non-empty subsequences of **nums**. A subsequence is defined as an array obtained by deleting some (or not deleting) elements from an array without changing the order of the remaining elements. Based on the above question, please create a class **SWS** in Python, which has the attribute **nums**; then create another class **SN_SWS** that inherits from the **SWS** class, and add a public function **Sum_widths** to return the sum of the widths of all non-empty subsequences of the integer array **nums**.

def test_run(content1): return SN_SWS(content1).Sum_widths()

test_run

assert candidate([["class SWS", "def __init__(self, nums)", "class SN_SWS(SWS)", "super().__init__(nums)", "def Sum_widths"]]) == True

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

OOP/50

Question: We have a non-negative integer array **arr**. For each (continuous) subarray sub=[arr[i],arr[i+1],...,arr[j]] (i<=j), we perform a bitwise OR operation on each element in **sub**, obtaining the result arr[i]|arr[i+1]|...|arr[j]. Return the number of possible results. Multiple occurrences of the result are only counted once in the final answer; Please create a class **FAR** with the property **arr** in Python language based on the above question; then create a class **SN_FAR** inheriting the **FAR** class, and add a public function **Final_Answer** to return the number of possible results.

def test_run(content1): return SN_FAR(content1).Final_Answer()

test_run

assert candidate([["class FAR", "def __init__(self, arr)", "class SN_FAR(FAR)", "super().__init__(arr)", "def Final_Answer"]]) == True

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

OOP/51

Question: Given a string **s** and an integer **k**. You can choose one from the first **k** letters of **s** and add it to the end of the string. Return the lexicographically smallest string after any number of moves applying the above steps; Please create a class **SSG** with the attribute **s** in Python based on the above question; then create another class **SN_SSG** that inherits from the **SSG** class, and add the attribute **k**, as well as a public function **Smallest_string** to return the lexicographically smallest string after any number of moves applying the above steps.

def test_run(content1,content2): return SN_SSG(content1,content2).Smallest_string()

test_run

assert candidate([["class SSG", "def __init__(self, s)", "class SN_SSG(SSG)", "def __init__(self, s, k)", "super().__init__(s)", "def Smallest_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

OOP/52

Question: Given a numerical array **digits** sorted in non-decreasing order. You can write numbers using digits[i] any number of times. For example, if digits = ['1','3','5'], we can write numbers like '13', '551', and '1351315'. Return the number of positive integers that can be generated that are less than or equal to a given integer **n**; Please create a class **NDG** in Python based on the above question, with the property **digits**; then create a class **SN_NDG** that inherits the **NDG** class, and add the property **n**, as well as a public function **Non_decreasing** to return the number of positive integers that can be generated that are less than or equal to the given integer **n**.

def test_run(content1,content2): return SN_NDG(content1,content2).Non_decreasing()

test_run

assert candidate([["class NDG", "def __init__(self, digits)", "class SN_NDG(NDG)", "def __init__(self, digits, n)", "super().__init__(digits)", "def Non_decreasing"]]) == True

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

OOP/53

Question: Given a string **s** of length **n**, where s[i] is: 1. **D** means decrease; 2. **I** means increase; A valid arrangement is a permutation **perm** of n+1 integers within the range [0, n], so that for all **i**: 1. If s[i] == 'D', then perm[i] > perm[i+1]; 2. If s[i] == 'I', then perm[i] < perm[i+1]. Return the number of valid arrangements **perm**; Based on the above question, please create a class **EAT** in Python, with the attribute **s**; then create a class **SN_EAT** that inherits from the **EAT** class, and add a public function **Effective_arrangement** that returns the number of valid arrangements **perm**.

def test_run(content1): return SN_EAT(content1).Effective_arrangement()

test_run

assert candidate([["class EAT", "def __init__(self, s)", "class SN_EAT(EAT)", "super().__init__(s)", "def Effective_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

OOP/54

Question: Given an integer array **arr**, find the sum of min(b), where **b** ranges over each (continuous) subarray of **arr**. Please create a class **IAY** in Python language based on the above question, with the attribute **arr**; then create a class **SN_IAY** that inherits from the **IAY** class, and add a public function **Integer_array** to return the sum of min(b).

def test_run(content1): return SN_IAY(content1).Integer_array()

test_run

assert candidate([["class IAY", "def __init__(self, arr)", "class SN_IAY(IAY)", "super().__init__(arr)", "def Integer_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

OOP/55

Question: Given an integer array **nums** and an integer **k**. For each index **i** (0<=i<nums.length), change nums[i] to nums[i]+k or nums[i]-k. The score of **nums** is the difference between the maximum and minimum elements in **nums**. After changing the value corresponding to each index, return the minimum score of **nums**; Based on the above question, please use Python to create a class **MSE** with the attribute **nums**; then create another class **SN_MSE** that inherits from the **MSE** class, and add the attribute **k**, as well as a public function **Minimum_score** that returns the minimum score of **nums**.

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

test_run

assert candidate([["class MSE", "def __init__(self, nums)", "class SN_MSE(MSE)", "def __init__(self, nums, k)", "super().__init__(nums)", "def Minimum_score"]]) == True

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

OOP/56

Question: Given an integer array **nums**, please sort this array in ascending order; Based on the above question, please create a class **AOR** using Python language, with the attribute **nums**; then create another class **SN_AOR** that inherits from the **AOR** class, and add a public function **ascend_order** to sort the integer array **nums** in ascending order.

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

test_run

assert candidate([["class AOR", "def __init__(self, nums)", "class SN_AOR(AOR)", "super().__init__(nums)", "def ascend_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

OOP/57

Question: Two players play the roles of a cat and a mouse respectively, and they play a game on an undirected graph, taking turns to move. The form of the graph is: graph[a] is a list, consisting of all nodes **b** that satisfy that **ab** is an edge in the graph. The **mouse** starts from node 1 and moves first; the **cat** starts from node 2 and moves second. There is a **hole** at node 0. In each player's move, they must move along an edge connected to their current position in the graph. For example, if the mouse is at node 1, it must move to any node in graph[1]. In addition, the cat cannot move into the hole (node 0). Then, the game ends when one of the following three situations occurs: If the cat and the mouse appear at the same node, the cat wins. If the mouse reaches the hole, the mouse wins. If a position is repeated (that is, the player's position and the order of movement are the same as the last action), the game is a draw. Given a graph, and assuming that both players participate in the game in their best state: if the mouse wins, return 1; if the cat wins, return 2; if it is a draw, return 0; Based on the above question, please create a class called **CGS** in Python language with the attribute **graph**; then create a class called **SN_CGS** that inherits from the **CGS** class, and add a public function called **Cat_games** to return the final game result.

def test_run(content1): return SN_CGS(content1).Cat_games()

test_run

assert candidate([["class CGS", "def __init__(self, graph)", "class SN_CGS(CGS)", "super().__init__(graph)", "def Cat_games"]]) == True

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

OOP/58

Question: Given a deck of cards, each card has an integer written on it. At this point, you need to select a number **X**, so that we can divide the deck into one or more groups according to the following rules: each group has **X** cards. All the cards in the group have the same integer written on them. Return True only when the selectable **X** is greater than or equal to 2, otherwise return False; Based on the above question, please use Python language to create a class **SIR** with the attribute **deck**; then create a class **SN_SIR** that inherits the **SIR** class, and add a public function **Same_integer** to determine whether the selectable **X** is greater than or equal to 2. If it is, return True, otherwise, return False.

def test_run(content1): return SN_SIR(content1).Same_integer()

test_run

assert candidate([["class SIR", "def __init__(self, deck)", "class SN_SIR(SIR)", "super().__init__(deck)", "def Same_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

OOP/59

Question: Given an array **nums**, divide it into two consecutive sub-arrays **left** and **right** so that: 1. Each element in **left** is less than or equal to each element in **right**. 2. Both **left** and **right** are non-empty. 3. The length of **left** should be as small as possible. After completing such grouping, return the length of **left**; Please create a class **PLH** in Python language based on the above question, with the attribute **nums**; then create another class **SN_PLH** that inherits the **PLH** class, and add a public function **Packet_Length** to divide the array **nums** into two consecutive sub-arrays **left** and **right**, and then return the length of **left** after grouping.

def test_run(content1): return SN_PLH(content1).Packet_Length()

test_run

assert candidate([["class PLH", "def __init__(self, nums)", "class SN_PLH(PLH)", "super().__init__(nums)", "def Packet_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

OOP/60

Question: Given two string arrays **words1** and **words2**. Now, if every letter in **b** appears in **a**, including the repeated letters, then we say that string **b** is a subset of string **a**. If for every word **b** in **words2**, **b** is a subset of **a**, then we say that the word **a** in **words1** is a universal word. Return all the universal words in **words1** in the form of an array; Based on the above question, create a class **CWS** using Python language, with the property **words1**; then create a class **SN_CWS**, inheriting from the **CWS** class, and add the property **words2**, as well as a public function **Common_Words** to return all the universal words in **words1** in the form of an array.

def test_run(content1,content2): return SN_CWS(content1,content2).Common_Words()

test_run

assert candidate([["class CWS", "def __init__(self, words1)", "class SN_CWS(CWS)", "def __init__(self, words1, words2)", "super().__init__(words1)", "def Common_Words"]]) == True

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

OOP/61

Question: Given a circular integer array **nums** of length **n**, return the maximum possible sum of non-empty subarrays in **nums**. Please create a class **CAY** in Python based on the above question, with the attribute **nums**. Then create another class **SN_CAY**, inheriting from the **CAY** class, and add a public function **Circular_array** to return the maximum possible sum of non-empty subarrays in the circular integer array **nums** of length **n**.

def test_run(content1): return SN_CAY(content1).Circular_array()

test_run

assert candidate([["class CAY", "def __init__(self, nums)", "class SN_CAY(CAY)", "super().__init__(nums)", "def Circular_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

OOP/62

Question: You have **n** different songs in your music player. During your journey, you plan to listen to **goal** songs (not necessarily different, i.e., song repetition is allowed). You will create a playlist according to the following rules: 1. Each song is played at least once. 2. A song can only be played again after other **k** songs have been played. Given **n**, **goal**, and **k**, return the number of playlists that can meet the requirements. Based on the above question, please create a class **PAL** in Python with the attribute **n**; then create another class **SN_PAL**, inheriting from the **PAL** class, and add two attributes **goal** and **k**, as well as a public function **PlayList** that returns the number of playlists that can meet the requirements.

def test_run(content1,content2,content3): return SN_PAL(content1,content2,content3).PlayList()

test_run

assert candidate([["class PAL", "def __init__(self, n)", "class SN_PAL(PAL)", "def __init__(self, n, goal, k)", "super().__init__(n)", "def PlayList"]]) == True

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

OOP/63

Question: A parenthesis string is valid only if one of the following conditions is met: 1. It is an empty string; 2. It can be written as AB (A connected with B), where both A and B are valid strings; 3. It can be written as (A), where A is a valid string. Given a parenthesis string **s**, in each operation, you can insert a parenthesis at any position in the string to make the result string **s** valid. The task is to return the minimum number of parentheses that must be added to make the string **s** valid. Based on the above question, please create a class **MPS** in Python, which has an attribute **s**. Then create another class **SN_MPS**, which inherits from the **MPS** class, and add a public function **Minimum_parentheses** that returns the minimum number of parentheses that must be added to make the result string **s** valid.

def test_run(content1): return SN_MPS(content1).Minimum_parentheses()

test_run

assert candidate([["class MPS", "def __init__(self, s)", "class SN_MPS(MPS)", "super().__init__(s)", "def Minimum_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

OOP/64

Question: Given a non-negative integer array **nums**, half of the integers in **nums** are odd, and half are even. Sort the array so that when nums[i] is odd, **i** is also odd; when nums[i] is even, **i** is also even. You can return any array that meets the above conditions as the answer; Based on the above question, please use Python to create a class **ASG** with the attribute **nums**; then create a class **SN_ASG** that inherits from the **ASG** class, and add a public function **Array_sorting** that returns an array that meets the conditions as the answer.

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

test_run

assert candidate([["class ASG", "def __init__(self, nums)", "class SN_ASG(ASG)", "super().__init__(nums)", "def Array_sorting"]]) == True

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

OOP/65

Question: Given an integer array **arr**, and an integer **target** as the target value, return the number of tuples **i**, **j**, **k** that satisfy i<j<k and arr[i]+arr[j]+arr[k]==target; Please create a class **NTS** in Python language based on the above question, with **arr** as an attribute; then create another class **SN_NTS**, inheriting from the **NTS** class, and add the attribute **target**, as well as a public function **Number_tuples** to return the number of tuples **i**, **j**, **k** that satisfy i<j<k and arr[i]+arr[j]+arr[k]==target.

def test_run(content1,content2): return SN_NTS(content1,content2).Number_tuples()

test_run

assert candidate([["class NTS", "def __init__(self, arr)", "class SN_NTS(NTS)", "def __init__(self, arr, target)", "super().__init__(arr)", "def Number_tuples"]]) == True

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

OOP/66

Question: Given a binary string **s**, you can flip any 0 to 1 or flip 1 to 0. Return the minimum number of flips to make **s** monotonically increasing; Please create a class **FTM** in Python based on the above question, with the attribute **s**. Then create another class **SN_FTM** that inherits from the **FTM** class, and add a public function **Flip_Times** to return the minimum number of flips to make the binary string **s** monotonically increasing.

def test_run(content1): return SN_FTM(content1).Flip_Times()

test_run

assert candidate([["class FTM", "def __init__(self, s)", "class SN_FTM(FTM)", "super().__init__(s)", "def Flip_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

OOP/67

Question: Given an array **arr** composed of 0s and 1s, divide the array into three non-empty parts so that all these parts represent the same binary value. If it can be done, please return any [i, j], where i+1<j, so that: 1. arr[0], arr[1], ..., arr[i] is the first part; 2. arr[i+1], arr[i+2], ..., arr[j-1] is the second part; 3. arr[j], arr[j+1], ..., arr[arr.length-1] is the third part. These three parts represent the same binary value. If it cannot be done, return [-1, -1]; Based on the above question, please create a class **BVE** in Python with the attribute **arr**; then create a class **SN_BVE** that inherits the **BVE** class, and add a public function **Binary_values** that returns any [i, j], or [-1, -1] if not possible.

def test_run(content1): return SN_BVE(content1).Binary_values()

test_run

assert candidate([["class BVE", "def __init__(self, arr)", "class SN_BVE(BVE)", "super().__init__(arr)", "def Binary_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

OOP/68

Question: Given a binary array **nums** and an integer **goal**, please count and return how many non-empty subarrays have a sum equal to **goal**. Please create a class **NSY** in Python based on the above question, with the attribute **nums**. Then create another class **SN_NSY**, inheriting from the **NSY** class, and add the attribute **goal**, as well as a public function **Non_subarray** to count and return how many non-empty subarrays have a sum equal to the integer **goal**.

def test_run(content1,content2): return SN_NSY(content1,content2).Non_subarray()

test_run

assert candidate([["class NSY", "def __init__(self, nums)", "class SN_NSY(NSY)", "def __init__(self, nums, goal)", "super().__init__(nums)", "def Non_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