102 lines
2.1 KiB
Python
Executable File
102 lines
2.1 KiB
Python
Executable File
#!/bin/env python
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__author__ = 'dongyun.zdy'
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import getopt
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import sys
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import math
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def mg_model_form(args,
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params
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):
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(
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Nrow_input,
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Nrow_res,
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Ncol_input,
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Ncol_aggr,
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Ncol_group
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) = args
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(
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#Tstartup,
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Trow_once,
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Tres_once,
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Taggr_prepare_result,
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Taggr_process,
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Tgroup_cmp_col,
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Tcopy_col
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) = params
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total_cost = Nrow_res * Tres_once + Nrow_input * Trow_once
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#cost for judge group
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total_cost += Nrow_res * Tgroup_cmp_col
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total_cost += (Nrow_input - Nrow_res) * Ncol_group * Tgroup_cmp_col
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#cost for group related operation
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total_cost += Nrow_res * (Ncol_input * Tcopy_col)
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total_cost += Nrow_res * (Ncol_aggr * Taggr_prepare_result)
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#cost for input row process
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total_cost += Nrow_input * (Ncol_aggr * Taggr_process)
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return total_cost
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def extract_info_from_line(line):
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splited = line.split(",")
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line_info = []
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for item in splited:
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line_info.append(float(item))
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return line_info
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file_name = "get_total.data.prep"
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output_fit_res = False
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wrong_arg = False
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opts,args = getopt.getopt(sys.argv[1:],"i:o:m:")
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for op, value in opts:
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if "-i" == op:
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file_name = value
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elif "-o" == op:
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output_fit_res = True
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out_file_name = value
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elif "-m" == op:
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model_file_name = value
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else:
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wrong_arg = True
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if wrong_arg:
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print "wrong arg"
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sys.exit(1)
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input_file = open(file_name, "r")
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model_file = open(model_file_name, "r")
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out_file = open(out_file_name, "w")
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line = model_file.readline()
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model_params = [float(p) for p in line.split(",")]
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for line in input_file:
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case_param = extract_info_from_line(line)
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args = (case_param[0],
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case_param[5],
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case_param[4],
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case_param[2],
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case_param[3])
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time = case_param[6]
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cost_val = mg_model_form(args, model_params)
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percent = (cost_val - time) / time
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new_line = ",".join([line.strip(),"\t" ,str(cost_val),"\t" , str(time),"\t\t" , str(percent * 100)])
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new_line += "\n"
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out_file.write(new_line)
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out_file.close()
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