import os, sys def avg(a): return sum(a) / len(a) def process_table(file): table = [["L2", "L1", "t2", "m", "Δm", "t2i", "v1", "(v1)^2", "a", "ai", "❬a❭", "A", "B"]] supported_args = ["r"] config = {"r": 2} r = config["r"] with open(file, "r", encoding = "UTF-8") as f: for i in f: if i.rstrip("\r\n") != "": if i.rstrip("\r\n")[0] == "#" or i.rstrip("\r\n")[0] == ";": print(f"Special line: {i}") try: cline = i.rstrip("\r\n")[1:].split() if len(cline) == 2 and cline[0] in supported_args: config[cline[0]] = int(cline[1]) except: pass else: print(f"Table line: {i}") table.append(list(map(lambda x: float(x), i.rstrip("\r\n").replace(",", ".").split()))) for i in table[1:]: # first table i.append(round(i[0] / i[2], r)) i.append(round(i[6]**2, r)) i.append(round((i[0]**2)/(2*(i[2]**2)*i[1]), r)) # precalculations preset_L2 = table[1][0] preset_L1 = table[1][1] preset_ai = [(preset_L2**2) / (2 * (avg(list(zip(*table[1:][i:i+3]))[5])**2) * preset_L1) for i in range(0, 12, 3)] for i in range(4): for k in range(3): table[1 + i*3 + k].append(round(preset_ai[i], r)) preset_avg_a = [(preset_L2**2) / (2 * (avg(list(zip(*table[1:][i:i+3]))[9])**2) * preset_L1) for i in range(0, 12, 3)] for i in range(4): for k in range(3): table[1 + i*3 + k].append(round(preset_avg_a[i], r)) for i in table[1:]: i.append(round(i[4]/(2*i[3]), r)) i.append(round(i[10]/(9.81-i[10]), r)) w = max([max(list(map(lambda x: len(str(x)), i))) for i in table]) print("\n".join([" | ".join(list(map(lambda x: str(x).center(w), i))) for i in table])) ''' if len(sys.argv) == 2 and os.path.exists(sys.argv[1]): if os.path.isdir(sys.argv[1]): for i in os.listdir(sys.argv[1]): process_table(sys.argv[1] + i) else: process_table(sys.argv[1]) elif os.path.exists("input_tables/") and os.path.isdir("input_tables/"): for i in os.listdir("input_tables/"): process_table("input_tables/" + i) else: print("Не знайдено жодного файлу для обробки") ''' if len(sys.argv) == 2 and os.path.exists(sys.argv[1]): process_table(sys.argv[1]) else: print("Будь ласка, вкажіть файл для обробки")