#!/bin/env python __author__ = 'dongyun.zdy' import getopt import sys import math def merge_model_form(args, params ): ( Nrow_res, Nrow_left, Nrow_right, Nright_cache_in, Nright_cache_out, Nright_cache_clear, Nequal_cond ) = args ( Tstartup, Tres_right_op, Tres_right_cache, Tmatch_group, #Tassemble_row, Tequal_fail, Trow_left, Trow_right ) = params total_cost = Tstartup total_cost += Nrow_left * Trow_left total_cost += (Nrow_right - Nright_cache_in) * Trow_right total_cost += Nright_cache_in * Tres_right_op total_cost += Nright_cache_out * Tres_right_cache #total_cost += Nrow_res * Tassemble_row total_cost += Nright_cache_clear * Tmatch_group total_cost += (Nequal_cond - Nrow_res - 2 * Tmatch_group) * Tequal_fail # total_cost += Nright_cache_in * Tres_right_op # total_cost += (Nrow_res - Nright_cache_in) * Tres_right_cache # total_cost += Nright_cache_clear * Tmatch_group # total_cost += Nrow_res * Tassemble_row # total_cost += (Nequal_cond - Nrow_res - 2 * Tmatch_group) * Tequal_fail # total_cost += Nrow_left * Trow_left # total_cost += (Nrow_right - Nright_cache_in) * Trow_right return total_cost # # def merge_model_form(args, # params # ): # ( # Nrow_res, # Nrow_left, # Nrow_right, # Nright_cache_in, # Nright_cache_out, # Nright_cache_clear, # Nequal_cond, # ) = args # # ( # Tstartup, # Tright_cache_in, # Tright_cache_out, # Tright_cache_clear, # Tassemble_row, # Tequal_fail, # Trow_left, # #Trow_right # ) = params # # total_cost = Tstartup # total_cost += Nright_cache_in * Tright_cache_in # total_cost += (Nright_cache_out - Nright_cache_clear) * Tright_cache_out # total_cost += Nright_cache_clear * Tright_cache_clear # total_cost += Nrow_res * Tassemble_row # total_cost += (Nequal_cond - Nrow_res - 2 * Tright_cache_clear) * Tequal_fail # total_cost += Nrow_left * Trow_left # #total_cost += (Nrow_right - Nright_cache_in) * Trow_right # # return total_cost def extract_info_from_line(line): splited = line.split(",") line_info = [] for item in splited: line_info.append(float(item)) return line_info file_name = "get_total.data.prep" output_fit_res = False wrong_arg = False opts,args = getopt.getopt(sys.argv[1:],"i:o:m:") for op, value in opts: if "-i" == op: file_name = value elif "-o" == op: output_fit_res = True out_file_name = value elif "-m" == op: model_file_name = value else: wrong_arg = True if wrong_arg: print "wrong arg" sys.exit(1) input_file = open(file_name, "r") model_file = open(model_file_name, "r") out_file = open(out_file_name, "w") line = model_file.readline() model_params = [float(p) for p in line.split(",")] for line in input_file: case_param = extract_info_from_line(line) args = (case_param[6], #Nrow_res case_param[0], #Nrow_left case_param[1], #Nrow_right case_param[-3], #Nright_cache_in case_param[-2], #Nright_cache_out case_param[-1], case_param[8]) time = case_param[7] cost_val = merge_model_form(args, model_params) percent = (cost_val - time) / time new_line = ",".join([line.strip(),"\t" ,str(cost_val),"\t" , str(time),"\t\t" , str(percent * 100)]) new_line += "\n" out_file.write(new_line) out_file.close()