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question:Write a Python program that takes user input to generate a list of lists (a 2D list), where each inner list represents a row in the matrix. The dimensions of the matrix (number of rows and columns) are provided by the user. The user should also be able to input the elements of the matrix row by row. The program should then print the matrix.
answer:def create_matrix(rows, columns, elements): Creates a matrix with given rows and columns using the provided elements. Args: rows (int): number of rows. columns (int): number of columns. elements (list): flat list of elements to fill the matrix row by row. Returns: list: 2D list representing the matrix. if len(elements) != rows * columns: raise ValueError("The number of elements provided does not match the dimensions of the matrix") matrix = [] for i in range(rows): row = elements[i * columns:(i + 1) * columns] matrix.append(row) return matrix def print_matrix(matrix): Prints the matrix in a row by row format. Args: matrix (list): 2D list representing the matrix to print. for row in matrix: print(' '.join(map(str, row)))
question:Can you provide a Python code snippet to display a simple text-based welcome屏幕 for a console application?
answer:def display_welcome_screen(): Displays a simple text-based welcome screen for a console application. welcome_message = *********************************** * * * WELCOME TO MY * * CONSOLE APPLICATION * * * *********************************** print(welcome_message)
question:Develop a code snippet that prints the Fibonacci sequence up to the nth number, where n is provided by the user. The code should handle invalid inputs gracefully.
answer:def fibonacci(n): Generates the Fibonacci sequence up to the nth number. Parameters: n (int): The number of terms in the Fibonacci sequence to generate. Returns: list: A list containing the first n terms of the Fibonacci sequence. if not isinstance(n, int) or n <= 0: return "Invalid input. Please enter a positive integer." sequence = [0, 1] if n == 1: return [0] elif n == 2: return sequence for i in range(2, n): next_term = sequence[-1] + sequence[-2] sequence.append(next_term) return sequence
question:Can you provide a simple example of a Davis-Putnam-Logemann-Loveland (DPLL) algorithm in Python?
answer:def dpll(clauses, assignment): DPLL algorithm implementation. Parameters: clauses - List of clauses (list of lists of integers). assignment - Current variable assignment (dictionary of variable: Bool). Returns: Bool - True if the formula is satisfiable, False otherwise. Assignment - Dictionary containing the final variable assignments if satisfiable. # Base case: If no clauses, problem is solved if not clauses: return True, assignment # Base case: If an empty clause is found, problem is unsatisfiable if any([clause == [] for clause in clauses]): return False, None # Find a literal to assign (first unassigned literal) l = select_literal(clauses, assignment) # Try assigning True to the literal assignment[l] = True new_clauses = simplify(clauses, l) sat, final_assignment = dpll(new_clauses, assignment) if sat: return True, final_assignment # Backtrack and try assigning False to the literal assignment[l] = False new_clauses = simplify(clauses, -l) sat, final_assignment = dpll(new_clauses, assignment) if sat: return True, final_assignment # If neither assignment leads to a solution, problem is unsolvable return False, None def select_literal(clauses, assignment): Select the first unassigned literal. for clause in clauses: for literal in clause: if abs(literal) not in assignment: return abs(literal) raise Exception("No unassigned literals found!") def simplify(clauses, l): Simplify the set of clauses given the assignment of a single literal. new_clauses = [] for clause in clauses: if l not in clause: # clause is satisfied, don't include it new_clause = [x for x in clause if x != -l] # remove -l from this clause new_clauses.append(new_clause) return new_clauses